Copying data files and other necessary files Changing to reduced data directory Generating file lists... Setting dispaxis... add A0V.0021.fits,dispaxis = 1 A0V.0021.fits updated add A0V.0026.fits,dispaxis = 1 A0V.0026.fits updated add A0V.0031.fits,dispaxis = 1 A0V.0031.fits updated add A0V.0040.fits,dispaxis = 1 A0V.0040.fits updated add Bias.0016.fits,dispaxis = 1 Bias.0016.fits updated add Bias.0017.fits,dispaxis = 1 Bias.0017.fits updated add Bias.0018.fits,dispaxis = 1 Bias.0018.fits updated add Bias.0019.fits,dispaxis = 1 Bias.0019.fits updated add Bias.0020.fits,dispaxis = 1 Bias.0020.fits updated add ThAr.0013.fits,dispaxis = 1 ThAr.0013.fits updated add ThAr.0014.fits,dispaxis = 1 ThAr.0014.fits updated add ThAr.0015.fits,dispaxis = 1 ThAr.0015.fits updated add ThAr_blue.0010.fits,dispaxis = 1 ThAr_blue.0010.fits updated add ThAr_blue.0011.fits,dispaxis = 1 ThAr_blue.0011.fits updated add ThAr_blue.0012.fits,dispaxis = 1 ThAr_blue.0012.fits updated add Venu_day.0032.fits,dispaxis = 1 Venu_day.0032.fits updated add Venu_day.0033.fits,dispaxis = 1 Venu_day.0033.fits updated add Venu_day.0034.fits,dispaxis = 1 Venu_day.0034.fits updated add Venu_day.0036.fits,dispaxis = 1 Venu_day.0036.fits updated add Venu_day.0037.fits,dispaxis = 1 Venu_day.0037.fits updated add Venu_night.0035.fits,dispaxis = 1 Venu_night.0035.fits updated add Venus_day.0022.fits,dispaxis = 1 Venus_day.0022.fits updated add Venus_day.0024.fits,dispaxis = 1 Venus_day.0024.fits updated add Venus_day.0025.fits,dispaxis = 1 Venus_day.0025.fits updated add Venus_day.0027.fits,dispaxis = 1 Venus_day.0027.fits updated add Venus_day.0029.fits,dispaxis = 1 Venus_day.0029.fits updated add Venus_day.0030.fits,dispaxis = 1 Venus_day.0030.fits updated add Venus_day.0038.fits,dispaxis = 1 Venus_day.0038.fits updated add Venus_day.0042.fits,dispaxis = 1 Venus_day.0042.fits updated add Venus_night.0023.fits,dispaxis = 1 Venus_night.0023.fits updated add Venus_night.0028.fits,dispaxis = 1 Venus_night.0028.fits updated add Venus_night.0041.fits,dispaxis = 1 Venus_night.0041.fits updated add flat.0001.fits,dispaxis = 1 flat.0001.fits updated add flat.0002.fits,dispaxis = 1 flat.0002.fits updated add flat.0003.fits,dispaxis = 1 flat.0003.fits updated add flat_blue_200.0004.fits,dispaxis = 1 flat_blue_200.0004.fits updated add flat_blue_200.0005.fits,dispaxis = 1 flat_blue_200.0005.fits updated add flat_blue_200.0006.fits,dispaxis = 1 flat_blue_200.0006.fits updated add flat_blue_60.0007.fits,dispaxis = 1 flat_blue_60.0007.fits updated add flat_blue_60.0008.fits,dispaxis = 1 flat_blue_60.0008.fits updated add flat_blue_60.0009.fits,dispaxis = 1 flat_blue_60.0009.fits updated FIXPIX: image flat.0001.fits with mask echmask.pl FIXPIX: image flat.0002.fits with mask echmask.pl FIXPIX: image flat.0003.fits with mask echmask.pl FIXPIX: image flat_blue_200.0004.fits with mask echmask.pl FIXPIX: image flat_blue_200.0005.fits with mask echmask.pl FIXPIX: image flat_blue_200.0006.fits with mask echmask.pl FIXPIX: image flat_blue_60.0007.fits with mask echmask.pl FIXPIX: image flat_blue_60.0008.fits with mask echmask.pl FIXPIX: image flat_blue_60.0009.fits with mask echmask.pl FIXPIX: image A0V.0021.fits with mask echmask.pl FIXPIX: image A0V.0026.fits with mask echmask.pl FIXPIX: image A0V.0031.fits with mask echmask.pl FIXPIX: image A0V.0040.fits with mask echmask.pl FIXPIX: image Venu_day.0032.fits with mask echmask.pl FIXPIX: image Venu_day.0033.fits with mask echmask.pl FIXPIX: image Venu_day.0034.fits with mask echmask.pl FIXPIX: image Venu_day.0036.fits with mask echmask.pl FIXPIX: image Venu_day.0037.fits with mask echmask.pl FIXPIX: image Venu_night.0035.fits with mask echmask.pl FIXPIX: image Venus_day.0022.fits with mask echmask.pl FIXPIX: image Venus_day.0024.fits with mask echmask.pl FIXPIX: image Venus_day.0025.fits with mask echmask.pl FIXPIX: image Venus_day.0027.fits with mask echmask.pl FIXPIX: image Venus_day.0029.fits with mask echmask.pl FIXPIX: image Venus_day.0030.fits with mask echmask.pl FIXPIX: image Venus_day.0038.fits with mask echmask.pl FIXPIX: image Venus_day.0042.fits with mask echmask.pl FIXPIX: image Venus_night.0023.fits with mask echmask.pl FIXPIX: image Venus_night.0028.fits with mask echmask.pl FIXPIX: image Venus_night.0041.fits with mask echmask.pl FIXPIX: image ThAr.0013.fits with mask echmask.pl FIXPIX: image ThAr.0014.fits with mask echmask.pl FIXPIX: image ThAr.0015.fits with mask echmask.pl FIXPIX: image ThAr_blue.0010.fits with mask echmask.pl FIXPIX: image ThAr_blue.0011.fits with mask echmask.pl FIXPIX: image ThAr_blue.0012.fits with mask echmask.pl Dec 30 20:16: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Exp Bias.0016.fits 0.0 Bias.0017.fits 0.9 Bias.0018.fits 0.0 Bias.0019.fits 0.9 Bias.0020.fits 0.0 Output image = bias_fid, ncombine = 5 Calibrating object images and flats (bias, and trimming)... A0V.0021.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] bias_fid: Dec 30 20:16 Trim data section is [200:1850,1:2048] A0V.0021.fits: Dec 30 20:16 Zero level correction image is bias_fid A0V.0026.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] A0V.0026.fits: Dec 30 20:16 Zero level correction image is bias_fid A0V.0031.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] A0V.0031.fits: Dec 30 20:16 Zero level correction image is bias_fid A0V.0040.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] A0V.0040.fits: Dec 30 20:16 Zero level correction image is bias_fid Venu_day.0032.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] Venu_day.0032.fits: Dec 30 20:16 Zero level correction image is bias_fid Venu_day.0033.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] Venu_day.0033.fits: Dec 30 20:16 Zero level correction image is bias_fid Venu_day.0034.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] Venu_day.0034.fits: Dec 30 20:16 Zero level correction image is bias_fid Venu_day.0036.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] Venu_day.0036.fits: Dec 30 20:16 Zero level correction image is bias_fid Venu_day.0037.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] Venu_day.0037.fits: Dec 30 20:16 Zero level correction image is bias_fid Venu_night.0035.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] Venu_night.0035.fits: Dec 30 20:16 Zero level correction image is bias_fid Venus_day.0022.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] Venus_day.0022.fits: Dec 30 20:16 Zero level correction image is bias_fid Venus_day.0024.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] Venus_day.0024.fits: Dec 30 20:16 Zero level correction image is bias_fid Venus_day.0025.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] Venus_day.0025.fits: Dec 30 20:16 Zero level correction image is bias_fid Venus_day.0027.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] Venus_day.0027.fits: Dec 30 20:16 Zero level correction image is bias_fid Venus_day.0029.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] Venus_day.0029.fits: Dec 30 20:16 Zero level correction image is bias_fid Venus_day.0030.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] Venus_day.0030.fits: Dec 30 20:16 Zero level correction image is bias_fid Venus_day.0038.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] Venus_day.0038.fits: Dec 30 20:16 Zero level correction image is bias_fid Venus_day.0042.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] Venus_day.0042.fits: Dec 30 20:16 Zero level correction image is bias_fid Venus_night.0023.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] Venus_night.0023.fits: Dec 30 20:16 Zero level correction image is bias_fid Venus_night.0028.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] Venus_night.0028.fits: Dec 30 20:16 Zero level correction image is bias_fid Venus_night.0041.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] Venus_night.0041.fits: Dec 30 20:16 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... flat.0001.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] flat.0001.fits: Dec 30 20:16 Zero level correction image is bias_fid flat.0002.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] flat.0002.fits: Dec 30 20:16 Zero level correction image is bias_fid flat.0003.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] flat.0003.fits: Dec 30 20:16 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... flat_blue_200.0004.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] flat_blue_200.0004.fits: Dec 30 20:16 Zero level correction image is bias_fid flat_blue_200.0005.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] flat_blue_200.0005.fits: Dec 30 20:16 Zero level correction image is bias_fid flat_blue_200.0006.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] flat_blue_200.0006.fits: Dec 30 20:16 Zero level correction image is bias_fid flat_blue_60.0007.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] flat_blue_60.0007.fits: Dec 30 20:16 Zero level correction image is bias_fid flat_blue_60.0008.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] flat_blue_60.0008.fits: Dec 30 20:16 Zero level correction image is bias_fid flat_blue_60.0009.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] flat_blue_60.0009.fits: Dec 30 20:16 Zero level correction image is bias_fid Calibrating ThAr arcs... ThAr.0013.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] ThAr.0013.fits: Dec 30 20:16 Zero level correction image is bias_fid ThAr.0014.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] ThAr.0014.fits: Dec 30 20:16 Zero level correction image is bias_fid ThAr.0015.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] ThAr.0015.fits: Dec 30 20:16 Zero level correction image is bias_fid ThAr_blue.0010.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] ThAr_blue.0010.fits: Dec 30 20:16 Zero level correction image is bias_fid ThAr_blue.0011.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] ThAr_blue.0011.fits: Dec 30 20:16 Zero level correction image is bias_fid ThAr_blue.0012.fits: Dec 30 20:16 Trim data section is [200:1850,1:2048] ThAr_blue.0012.fits: Dec 30 20:16 Zero level correction image is bias_fid Combining red and blue flats into separate fiducial flats... Dec 30 20:19: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp flat_blue_200.0004.fits 200.0 flat_blue_200.0005.fits 200.0 flat_blue_200.0006.fits 200.0 flat_blue_60.0007.fits 60.0 flat_blue_60.0008.fits 60.0 flat_blue_60.0009.fits 60.0 Output image = flat_blue_mean.fits, ncombine = 6 Dec 30 20:19: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp flat.0001.fits 7.0 flat.0002.fits 7.0 flat.0003.fits 7.0 Output image = flat_red_mean.fits, ncombine = 3 Combining average red and blue flats into a superflat... IMARITH: Operation = * Operand1 = flat_red_mean.fits Operand2 = filter_redflat.fit Result = flat_red_mean_filt.fits Result pixel type = double Calculation type = double IMARITH: Operation = + Operand1 = flat_blue_mean.fits Operand2 = flat_red_mean_filt.fits Result = junk Result pixel type = double Calculation type = double IMARITH: Operation = / Operand1 = junk Operand2 = 2.0 Result = flat_fid Result pixel type = double Calculation type = double Replacement value for division by zero = 0. Resample the superflat in the y direction... flat_fid_mag.fits Magnify image flat_fid.fits to image flat_fid_mag.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 flat_fid_mag.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] flat_fid_mag.fits updated Modeling and extracting the superflat... Dec 30 20:19: TRACE - Trace of aperture 94 in flat_fid_mag lost at column 1102. Dec 30 20:19: TRACE - Trace of aperture 94 in flat_fid_mag lost at column 1103. Dec 30 20:19: TRACE - Trace of aperture 94 in flat_fid_mag lost at column 1104. Dec 30 20:19: TRACE - Trace of aperture 96 in flat_fid_mag lost at column 1087. Dec 30 20:19: TRACE - Trace of aperture 96 in flat_fid_mag recovered at column 1088. Dec 30 20:19: TRACE - Trace of aperture 96 in flat_fid_mag lost at column 1126. Dec 30 20:19: TRACE - Trace of aperture 96 in flat_fid_mag recovered at column 1127. Dec 30 20:19: TRACE - Trace of aperture 96 in flat_fid_mag lost at column 1149. Dec 30 20:19: TRACE - Trace of aperture 96 in flat_fid_mag recovered at column 1150. Dec 30 20:19: TRACE - Trace of aperture 97 in flat_fid_mag lost at column 1059. Dec 30 20:19: TRACE - Trace of aperture 97 in flat_fid_mag lost at column 1060. Dec 30 20:19: TRACE - Trace of aperture 97 in flat_fid_mag recovered at column 1061. Dec 30 20:19: TRACE - Trace of aperture 97 in flat_fid_mag lost at column 1075. Dec 30 20:19: TRACE - Trace of aperture 97 in flat_fid_mag lost at column 1076. Dec 30 20:19: TRACE - Trace of aperture 97 in flat_fid_mag lost at column 1077. Dec 30 20:19: TRACE - Trace of aperture 97 in flat_fid_mag lost at column 106. Dec 30 20:19: TRACE - Trace of aperture 97 in flat_fid_mag recovered at column 105. Dec 30 20:19: TRACE - Trace of aperture 98 in flat_fid_mag lost at column 1127. Dec 30 20:19: TRACE - Trace of aperture 98 in flat_fid_mag recovered at column 1128. Dec 30 20:19: TRACE - Trace of aperture 98 in flat_fid_mag lost at column 1136. Dec 30 20:19: TRACE - Trace of aperture 98 in flat_fid_mag lost at column 1137. Dec 30 20:19: TRACE - Trace of aperture 98 in flat_fid_mag lost at column 1138. Dec 30 20:19: TRACE - Trace of aperture 98 in flat_fid_mag lost at column 102. Dec 30 20:19: TRACE - Trace of aperture 98 in flat_fid_mag recovered at column 101. Dec 30 20:19: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1131. Dec 30 20:19: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1132. Dec 30 20:19: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1133. Dec 30 20:19: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1065. Dec 30 20:19: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1066. Dec 30 20:19: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1089. Dec 30 20:19: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1090. Dec 30 20:19: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1091. Dec 30 20:19: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 64. Dec 30 20:19: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 63. Dec 30 20:19: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1548. Dec 30 20:19: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1549. Dec 30 20:19: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1550. Dec 30 20:19: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 92. Dec 30 20:19: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 91. Dec 30 20:19: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 90. Dec 30 20:19: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1025. Dec 30 20:19: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1026. Dec 30 20:19: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1051. Dec 30 20:19: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1052. Dec 30 20:19: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1558. Dec 30 20:19: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1559. Dec 30 20:19: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1581. Dec 30 20:19: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1582. Dec 30 20:19: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1583. Dec 30 20:19: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1637. Dec 30 20:19: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1638. Dec 30 20:19: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1639. Dec 30 20:19: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 166. Dec 30 20:19: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 165. Dec 30 20:19: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 164. Dec 30 20:19: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1121. Dec 30 20:19: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1122. Dec 30 20:19: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1123. Dec 30 20:19: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 126. Dec 30 20:19: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 125. Dec 30 20:19: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1039. Dec 30 20:19: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1040. Dec 30 20:19: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1505. Dec 30 20:19: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1506. Dec 30 20:19: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1573. Dec 30 20:19: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1574. Dec 30 20:19: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1575. Dec 30 20:19: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 149. Dec 30 20:19: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 148. Dec 30 20:19: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 147. Dec 30 20:19: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1447. Dec 30 20:19: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1448. Dec 30 20:19: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1468. Dec 30 20:19: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1469. Dec 30 20:19: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1537. Dec 30 20:19: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1538. Dec 30 20:19: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1539. Dec 30 20:19: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1564. Dec 30 20:19: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1565. Dec 30 20:19: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1568. Dec 30 20:19: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1569. Dec 30 20:19: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1574. Dec 30 20:19: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1575. Dec 30 20:19: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1576. Dec 30 20:19: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1588. Dec 30 20:19: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1589. Dec 30 20:19: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1590. Dec 30 20:19: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 146. Dec 30 20:19: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 145. Dec 30 20:19: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 144. Dec 30 20:19: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 140. Dec 30 20:19: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 139. Dec 30 20:19: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 138. Dec 30 20:19: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 134. Dec 30 20:19: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 133. Dec 30 20:19: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 127. Dec 30 20:19: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 126. Dec 30 20:19: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 125. Dec 30 20:19: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1123. Dec 30 20:19: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1124. Dec 30 20:19: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1125. Dec 30 20:19: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1422. Dec 30 20:19: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1423. Dec 30 20:19: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1492. Dec 30 20:19: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1493. Dec 30 20:19: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1494. Dec 30 20:19: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1495. Dec 30 20:19: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1496. Dec 30 20:19: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1552. Dec 30 20:19: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1553. Dec 30 20:19: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1554. Dec 30 20:19: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 219. Dec 30 20:19: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 218. Dec 30 20:19: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 207. Dec 30 20:19: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 206. Dec 30 20:19: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 205. Dec 30 20:19: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 204. Dec 30 20:19: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 203. Dec 30 20:19: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 202. Dec 30 20:19: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 194. Dec 30 20:19: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 193. Dec 30 20:19: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 185. Dec 30 20:19: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 184. Dec 30 20:19: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 183. Dec 30 20:19: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 150. Dec 30 20:19: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 149. Dec 30 20:19: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 148. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1383. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1384. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1424. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1425. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1439. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1440. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1501. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1502. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1503. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1518. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1519. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1529. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1530. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1538. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1539. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1540. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1541. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1542. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1581. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1582. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1591. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1592. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1593. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1616. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1617. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1618. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1631. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1632. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1633. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 211. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 210. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 167. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 166. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 145. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 144. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 143. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 123. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 122. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 121. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 118. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 117. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 56. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 55. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 54. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 22. Dec 30 20:19: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 21. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 991. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 992. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1053. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1054. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1371. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1372. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1373. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1424. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1425. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1499. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1500. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1501. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1505. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1506. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1507. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 216. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 215. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 201. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 200. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 199. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 179. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 178. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 145. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 144. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 143. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 101. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 100. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 92. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 91. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 67. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 66. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 65. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 64. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 63. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 51. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 50. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 49. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 22. Dec 30 20:19: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 21. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1307. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1308. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1412. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1413. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1414. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1419. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1420. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1477. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1478. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1490. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1491. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1499. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1500. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1519. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1520. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1521. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1522. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1531. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1532. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1537. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1538. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1542. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1543. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1555. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1556. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1565. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1566. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1567. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1583. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1584. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1585. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1587. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1588. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1591. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1592. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1613. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1614. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1628. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1629. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1630. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1648. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1649. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 246. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 245. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 244. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 236. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 235. Dec 30 20:19: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 234. Dec 30 20:19: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1361. Dec 30 20:19: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1362. Dec 30 20:19: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1363. Dec 30 20:19: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 280. Dec 30 20:19: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 279. Dec 30 20:19: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 278. Dec 30 20:19: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 277. Dec 30 20:19: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 276. Dec 30 20:19: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 952. Dec 30 20:19: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 953. Dec 30 20:19: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 954. Dec 30 20:19: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1196. Dec 30 20:19: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1197. Dec 30 20:19: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1198. Dec 30 20:19: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1286. Dec 30 20:19: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1287. Dec 30 20:19: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1336. Dec 30 20:19: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1337. Dec 30 20:19: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1346. Dec 30 20:19: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1347. Dec 30 20:19: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1352. Dec 30 20:19: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1353. Dec 30 20:19: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1355. Dec 30 20:19: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1356. Dec 30 20:19: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1357. Dec 30 20:19: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1360. Dec 30 20:19: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1361. Dec 30 20:19: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1362. Dec 30 20:19: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1363. Dec 30 20:19: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1428. Dec 30 20:19: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1429. Dec 30 20:19: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1430. Dec 30 20:19: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 354. Dec 30 20:19: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 353. Dec 30 20:19: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 345. Dec 30 20:19: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 344. Dec 30 20:19: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 343. Dec 30 20:19: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1079. Dec 30 20:19: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1080. Dec 30 20:19: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1198. Dec 30 20:19: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1199. Dec 30 20:19: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1200. Dec 30 20:19: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1257. Dec 30 20:19: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1258. Dec 30 20:19: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1313. Dec 30 20:19: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1314. Dec 30 20:19: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1337. Dec 30 20:19: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1338. Dec 30 20:19: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1339. Dec 30 20:19: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 374. Dec 30 20:19: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 373. Dec 30 20:19: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 372. Dec 30 20:19: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 277. Dec 30 20:19: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 276. Dec 30 20:19: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 264. Dec 30 20:19: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 263. Dec 30 20:19: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 245. Dec 30 20:19: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 244. Dec 30 20:19: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 243. Dec 30 20:19: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 988. Dec 30 20:19: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 989. Dec 30 20:19: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 990. Dec 30 20:19: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 722. Dec 30 20:19: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 721. Dec 30 20:19: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 478. Dec 30 20:19: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 477. Dec 30 20:19: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 430. Dec 30 20:19: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 429. Dec 30 20:19: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 428. Dec 30 20:19: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 841. Dec 30 20:19: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 842. Dec 30 20:19: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 843. Dec 30 20:19: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 869. Dec 30 20:19: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 870. Dec 30 20:19: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 871. Dec 30 20:19: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 901. Dec 30 20:19: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 902. Dec 30 20:19: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 903. Dec 30 20:19: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 904. Dec 30 20:19: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 969. Dec 30 20:19: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 970. Dec 30 20:19: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 971. Dec 30 20:19: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1008. Dec 30 20:19: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1009. Dec 30 20:19: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1046. Dec 30 20:19: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1047. Dec 30 20:19: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1074. Dec 30 20:19: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1075. Dec 30 20:19: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1076. Dec 30 20:19: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1077. Dec 30 20:19: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1078. Dec 30 20:19: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 706. Dec 30 20:19: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 705. Dec 30 20:19: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 512. Dec 30 20:19: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 511. Dec 30 20:19: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 510. Dec 30 20:19: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 902. Dec 30 20:19: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 903. Dec 30 20:19: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 904. Dec 30 20:19: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 906. Dec 30 20:19: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 907. Dec 30 20:19: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 908. Dec 30 20:19: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 918. Dec 30 20:19: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 919. Dec 30 20:19: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 985. Dec 30 20:19: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 986. Dec 30 20:19: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 987. Dec 30 20:19: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 994. Dec 30 20:19: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 995. Dec 30 20:19: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1057. Dec 30 20:19: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1058. Dec 30 20:19: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1089. Dec 30 20:19: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1090. Dec 30 20:19: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1097. Dec 30 20:19: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1098. Dec 30 20:19: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1109. Dec 30 20:19: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1110. Dec 30 20:19: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1111. Dec 30 20:19: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 816. Dec 30 20:19: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 815. Dec 30 20:19: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 814. Normalizing the superflat... flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits IMARITH: Operation = + Operand1 = nonorm_flat_fid_mag.ec.fits Operand2 = 567.0 Result = nonorm_flat_fid_mag_bias.fits Result pixel type = real Calculation type = real Resampling the arc by a factor of 4 in the y direction... ThAr.0013.fits Magnify image ThAr.0013.fits to image ThAr.0013.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 ThAr.0013.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr.0013.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... ThAr.0014.fits Magnify image ThAr.0014.fits to image ThAr.0014.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 ThAr.0014.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr.0014.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... ThAr.0015.fits Magnify image ThAr.0015.fits to image ThAr.0015.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 ThAr.0015.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr.0015.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... ThAr_blue.0010.fits Magnify image ThAr_blue.0010.fits to image ThAr_blue.0010.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 ThAr_blue.0010.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr_blue.0010.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... ThAr_blue.0011.fits Magnify image ThAr_blue.0011.fits to image ThAr_blue.0011.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 ThAr_blue.0011.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr_blue.0011.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... ThAr_blue.0012.fits Magnify image ThAr_blue.0012.fits to image ThAr_blue.0012.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 ThAr_blue.0012.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr_blue.0012.fits updated Applying model apertures to the arc and extracting spectra... Resampling the object by a factor of 4 in the y direction... A0V.0021 Magnify image A0V.0021 to image A0V.0021. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 A0V.0021,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] A0V.0021 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... A0V.0021 -> noscatA0V.0021 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... A0V.0026 Magnify image A0V.0026 to image A0V.0026. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 A0V.0026,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] A0V.0026 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... A0V.0026 -> noscatA0V.0026 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 30 20:22: EXTRACT: WARNING - Aperture 104: Dec 30 20:22: Total variance weighted spectrum flux is 5131.707 Dec 30 20:22: Total unweighted spectrum flux is 2436.34 Dec 30 20:22: EXTRACT: Aperture 104 variance spectrum bias factor is 0.4747621 Dec 30 20:22: EXTRACT: WARNING - Aperture 105: Dec 30 20:22: Total variance weighted spectrum flux is 10614.28 Dec 30 20:22: Total unweighted spectrum flux is 4175.935 Dec 30 20:22: EXTRACT: Aperture 105 variance spectrum bias factor is 0.393426 Dec 30 20:22: EXTRACT: WARNING - Aperture 106: Dec 30 20:22: Total variance weighted spectrum flux is 9333.579 Dec 30 20:22: Total unweighted spectrum flux is 2200.556 Dec 30 20:22: EXTRACT: Aperture 106 variance spectrum bias factor is 0.2357676 Dec 30 20:22: EXTRACT: WARNING - Aperture 107: Dec 30 20:22: Total variance weighted spectrum flux is 8690.452 Dec 30 20:22: Total unweighted spectrum flux is 3311.903 Dec 30 20:22: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3810968 Dec 30 20:22: EXTRACT: WARNING - Aperture 108: Dec 30 20:22: Total variance weighted spectrum flux is 4763.983 Dec 30 20:22: Total unweighted spectrum flux is 2228.229 Dec 30 20:22: EXTRACT: Aperture 108 variance spectrum bias factor is 0.4677239 Dec 30 20:22: EXTRACT: WARNING - Aperture 109: Dec 30 20:22: Total variance weighted spectrum flux is 7135.571 Dec 30 20:22: Total unweighted spectrum flux is 1629.727 Dec 30 20:22: EXTRACT: Aperture 109 variance spectrum bias factor is 0.2283947 Dec 30 20:22: EXTRACT: WARNING - Aperture 110: Dec 30 20:22: Total variance weighted spectrum flux is 3008.973 Dec 30 20:22: Total unweighted spectrum flux is 869.1938 Dec 30 20:22: EXTRACT: Aperture 110 variance spectrum bias factor is 0.2888673 Dec 30 20:22: EXTRACT: WARNING - Aperture 111: Dec 30 20:22: Total variance weighted spectrum flux is 4976.979 Dec 30 20:22: Total unweighted spectrum flux is -450.0016 Dec 30 20:22: Variance spectrum bias factor ignored Dec 30 20:22: EXTRACT: WARNING - Aperture 112: Dec 30 20:22: Total variance weighted spectrum flux is 8026.052 Dec 30 20:22: Total unweighted spectrum flux is 1597.319 Dec 30 20:22: EXTRACT: Aperture 112 variance spectrum bias factor is 0.1990167 Dec 30 20:22: EXTRACT: WARNING - Aperture 113: Dec 30 20:22: Total variance weighted spectrum flux is 849.282 Dec 30 20:22: Total unweighted spectrum flux is -906.2206 Dec 30 20:22: Variance spectrum bias factor ignored Dec 30 20:22: EXTRACT: WARNING - Aperture 114: Dec 30 20:22: Total variance weighted spectrum flux is 1124.762 Dec 30 20:22: Total unweighted spectrum flux is 170.659 Dec 30 20:22: EXTRACT: Aperture 114 variance spectrum bias factor is 0.151729 Dec 30 20:22: EXTRACT: WARNING - Aperture 115: Dec 30 20:22: Total variance weighted spectrum flux is 2103.552 Dec 30 20:22: Total unweighted spectrum flux is -207.7568 Dec 30 20:22: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... A0V.0031 Magnify image A0V.0031 to image A0V.0031. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 A0V.0031,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] A0V.0031 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... A0V.0031 -> noscatA0V.0031 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 30 20:23: EXTRACT: WARNING - Aperture 101: Dec 30 20:23: Total variance weighted spectrum flux is 16416.53 Dec 30 20:23: Total unweighted spectrum flux is 7289.697 Dec 30 20:23: EXTRACT: Aperture 101 variance spectrum bias factor is 0.4440461 Dec 30 20:23: EXTRACT: WARNING - Aperture 102: Dec 30 20:23: Total variance weighted spectrum flux is 9514.383 Dec 30 20:23: Total unweighted spectrum flux is 4276.341 Dec 30 20:23: EXTRACT: Aperture 102 variance spectrum bias factor is 0.4494607 Dec 30 20:23: EXTRACT: WARNING - Aperture 104: Dec 30 20:23: Total variance weighted spectrum flux is 14542.42 Dec 30 20:23: Total unweighted spectrum flux is -1006.673 Dec 30 20:23: Variance spectrum bias factor ignored Dec 30 20:23: EXTRACT: WARNING - Aperture 105: Dec 30 20:23: Total variance weighted spectrum flux is 10739.78 Dec 30 20:23: Total unweighted spectrum flux is 3384.475 Dec 30 20:23: EXTRACT: Aperture 105 variance spectrum bias factor is 0.3151346 Dec 30 20:23: EXTRACT: WARNING - Aperture 106: Dec 30 20:23: Total variance weighted spectrum flux is 4200.577 Dec 30 20:23: Total unweighted spectrum flux is 1123.615 Dec 30 20:23: EXTRACT: Aperture 106 variance spectrum bias factor is 0.2674907 Dec 30 20:23: EXTRACT: WARNING - Aperture 107: Dec 30 20:23: Total variance weighted spectrum flux is 8429.714 Dec 30 20:23: Total unweighted spectrum flux is 1935.297 Dec 30 20:23: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2295804 Dec 30 20:23: EXTRACT: WARNING - Aperture 108: Dec 30 20:23: Total variance weighted spectrum flux is 10111.76 Dec 30 20:23: Total unweighted spectrum flux is 585.8684 Dec 30 20:23: EXTRACT: Aperture 108 variance spectrum bias factor is 0.05793929 Dec 30 20:23: EXTRACT: WARNING - Aperture 109: Dec 30 20:23: Total variance weighted spectrum flux is 5429.976 Dec 30 20:23: Total unweighted spectrum flux is 227.318 Dec 30 20:23: EXTRACT: Aperture 109 variance spectrum bias factor is 0.04186353 Dec 30 20:23: EXTRACT: WARNING - Aperture 110: Dec 30 20:23: Total variance weighted spectrum flux is 8322.309 Dec 30 20:23: Total unweighted spectrum flux is 489.4913 Dec 30 20:23: EXTRACT: Aperture 110 variance spectrum bias factor is 0.05881677 Dec 30 20:23: EXTRACT: WARNING - Aperture 111: Dec 30 20:23: Total variance weighted spectrum flux is 3478.743 Dec 30 20:23: Total unweighted spectrum flux is 141.7243 Dec 30 20:23: EXTRACT: Aperture 111 variance spectrum bias factor is 0.04074008 Dec 30 20:23: EXTRACT: WARNING - Aperture 112: Dec 30 20:23: Total variance weighted spectrum flux is 4384.501 Dec 30 20:23: Total unweighted spectrum flux is -371.2169 Dec 30 20:23: Variance spectrum bias factor ignored Dec 30 20:23: EXTRACT: WARNING - Aperture 113: Dec 30 20:23: Total variance weighted spectrum flux is 6178.434 Dec 30 20:23: Total unweighted spectrum flux is 2024.813 Dec 30 20:23: EXTRACT: Aperture 113 variance spectrum bias factor is 0.3277227 Dec 30 20:23: EXTRACT: WARNING - Aperture 114: Dec 30 20:23: Total variance weighted spectrum flux is 4050.286 Dec 30 20:23: Total unweighted spectrum flux is 453.2128 Dec 30 20:23: EXTRACT: Aperture 114 variance spectrum bias factor is 0.1118965 Dec 30 20:23: EXTRACT: WARNING - Aperture 115: Dec 30 20:23: Total variance weighted spectrum flux is 3545.786 Dec 30 20:23: Total unweighted spectrum flux is -156.0427 Dec 30 20:23: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... A0V.0040 Magnify image A0V.0040 to image A0V.0040. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 A0V.0040,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] A0V.0040 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... A0V.0040 -> noscatA0V.0040 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 30 20:24: EXTRACT: WARNING - Aperture 91: Dec 30 20:24: Total variance weighted spectrum flux is 9817.13 Dec 30 20:24: Total unweighted spectrum flux is 4707.764 Dec 30 20:24: EXTRACT: Aperture 91 variance spectrum bias factor is 0.4795459 Dec 30 20:24: EXTRACT: WARNING - Aperture 92: Dec 30 20:24: Total variance weighted spectrum flux is 8473.833 Dec 30 20:24: Total unweighted spectrum flux is 2695.822 Dec 30 20:24: EXTRACT: Aperture 92 variance spectrum bias factor is 0.3181349 Dec 30 20:24: EXTRACT: WARNING - Aperture 93: Dec 30 20:24: Total variance weighted spectrum flux is 4200.81 Dec 30 20:24: Total unweighted spectrum flux is 1446.563 Dec 30 20:24: EXTRACT: Aperture 93 variance spectrum bias factor is 0.3443535 Dec 30 20:24: EXTRACT: WARNING - Aperture 94: Dec 30 20:24: Total variance weighted spectrum flux is 4969.417 Dec 30 20:24: Total unweighted spectrum flux is 2133.795 Dec 30 20:24: EXTRACT: Aperture 94 variance spectrum bias factor is 0.4293853 Dec 30 20:24: EXTRACT: WARNING - Aperture 95: Dec 30 20:24: Total variance weighted spectrum flux is 8476.278 Dec 30 20:24: Total unweighted spectrum flux is 2948.239 Dec 30 20:24: EXTRACT: Aperture 95 variance spectrum bias factor is 0.3478224 Dec 30 20:24: EXTRACT: WARNING - Aperture 96: Dec 30 20:24: Total variance weighted spectrum flux is 6656.103 Dec 30 20:24: Total unweighted spectrum flux is 2267.547 Dec 30 20:24: EXTRACT: Aperture 96 variance spectrum bias factor is 0.3406719 Dec 30 20:24: EXTRACT: WARNING - Aperture 100: Dec 30 20:24: Total variance weighted spectrum flux is 2535.493 Dec 30 20:24: Total unweighted spectrum flux is 461.3211 Dec 30 20:24: EXTRACT: Aperture 100 variance spectrum bias factor is 0.1819453 Dec 30 20:24: EXTRACT: WARNING - Aperture 101: Dec 30 20:24: Total variance weighted spectrum flux is 8541.101 Dec 30 20:24: Total unweighted spectrum flux is 1199.173 Dec 30 20:24: EXTRACT: Aperture 101 variance spectrum bias factor is 0.1404004 Dec 30 20:24: EXTRACT: WARNING - Aperture 102: Dec 30 20:24: Total variance weighted spectrum flux is 5389.804 Dec 30 20:24: Total unweighted spectrum flux is 2474.715 Dec 30 20:24: EXTRACT: Aperture 102 variance spectrum bias factor is 0.4591475 Dec 30 20:24: EXTRACT: WARNING - Aperture 103: Dec 30 20:24: Total variance weighted spectrum flux is 1187.186 Dec 30 20:24: Total unweighted spectrum flux is -126.543 Dec 30 20:24: Variance spectrum bias factor ignored Dec 30 20:24: EXTRACT: WARNING - Aperture 104: Dec 30 20:24: Total variance weighted spectrum flux is 11913.42 Dec 30 20:24: Total unweighted spectrum flux is 1990.353 Dec 30 20:24: EXTRACT: Aperture 104 variance spectrum bias factor is 0.1670682 Dec 30 20:24: EXTRACT: WARNING - Aperture 105: Dec 30 20:24: Total variance weighted spectrum flux is 4800.965 Dec 30 20:24: Total unweighted spectrum flux is -233.586 Dec 30 20:24: Variance spectrum bias factor ignored Dec 30 20:24: EXTRACT: WARNING - Aperture 106: Dec 30 20:24: Total variance weighted spectrum flux is 2756.551 Dec 30 20:24: Total unweighted spectrum flux is -459.3855 Dec 30 20:24: Variance spectrum bias factor ignored Dec 30 20:24: EXTRACT: WARNING - Aperture 107: Dec 30 20:24: Total variance weighted spectrum flux is 11625.39 Dec 30 20:24: Total unweighted spectrum flux is 919.6263 Dec 30 20:24: EXTRACT: Aperture 107 variance spectrum bias factor is 0.07910501 Dec 30 20:24: EXTRACT: WARNING - Aperture 108: Dec 30 20:24: Total variance weighted spectrum flux is 3444.619 Dec 30 20:24: Total unweighted spectrum flux is 705.5023 Dec 30 20:24: EXTRACT: Aperture 108 variance spectrum bias factor is 0.2048129 Dec 30 20:24: EXTRACT: WARNING - Aperture 109: Dec 30 20:24: Total variance weighted spectrum flux is 8168.802 Dec 30 20:24: Total unweighted spectrum flux is 825.7178 Dec 30 20:24: EXTRACT: Aperture 109 variance spectrum bias factor is 0.1010819 Dec 30 20:24: EXTRACT: WARNING - Aperture 110: Dec 30 20:24: Total variance weighted spectrum flux is 6536.608 Dec 30 20:24: Total unweighted spectrum flux is 1430.716 Dec 30 20:24: EXTRACT: Aperture 110 variance spectrum bias factor is 0.2188775 Dec 30 20:24: EXTRACT: WARNING - Aperture 111: Dec 30 20:24: Total variance weighted spectrum flux is 2775.601 Dec 30 20:24: Total unweighted spectrum flux is -411.8104 Dec 30 20:24: Variance spectrum bias factor ignored Dec 30 20:24: EXTRACT: WARNING - Aperture 112: Dec 30 20:24: Total variance weighted spectrum flux is 2603.911 Dec 30 20:24: Total unweighted spectrum flux is 498.3925 Dec 30 20:24: EXTRACT: Aperture 112 variance spectrum bias factor is 0.1914015 Dec 30 20:24: EXTRACT: WARNING - Aperture 113: Dec 30 20:24: Total variance weighted spectrum flux is 1606.674 Dec 30 20:24: Total unweighted spectrum flux is 727.4103 Dec 30 20:24: EXTRACT: Aperture 113 variance spectrum bias factor is 0.452743 Dec 30 20:24: EXTRACT: WARNING - Aperture 114: Dec 30 20:24: Total variance weighted spectrum flux is 2539.682 Dec 30 20:24: Total unweighted spectrum flux is 239.4684 Dec 30 20:24: EXTRACT: Aperture 114 variance spectrum bias factor is 0.09429072 Dec 30 20:24: EXTRACT: WARNING - Aperture 115: Dec 30 20:24: Total variance weighted spectrum flux is 2015.516 Dec 30 20:24: Total unweighted spectrum flux is 129.9439 Dec 30 20:24: EXTRACT: Aperture 115 variance spectrum bias factor is 0.06447178 Resampling the object by a factor of 4 in the y direction... Venu_day.0032 Magnify image Venu_day.0032 to image Venu_day.0032. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 Venu_day.0032,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] Venu_day.0032 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... Venu_day.0032 -> noscatVenu_day.0032 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... Venu_day.0033 Magnify image Venu_day.0033 to image Venu_day.0033. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 Venu_day.0033,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] Venu_day.0033 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... Venu_day.0033 -> noscatVenu_day.0033 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... Venu_day.0034 Magnify image Venu_day.0034 to image Venu_day.0034. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 Venu_day.0034,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] Venu_day.0034 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... Venu_day.0034 -> noscatVenu_day.0034 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... Venu_day.0036 Magnify image Venu_day.0036 to image Venu_day.0036. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 Venu_day.0036,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] Venu_day.0036 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... Venu_day.0036 -> noscatVenu_day.0036 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... Venu_day.0037 Magnify image Venu_day.0037 to image Venu_day.0037. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 Venu_day.0037,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] Venu_day.0037 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... Venu_day.0037 -> noscatVenu_day.0037 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 30 20:32: EXTRACT: WARNING - Aperture 99: Dec 30 20:32: Total variance weighted spectrum flux is -21460236. Dec 30 20:32: Total unweighted spectrum flux is 2259534. Dec 30 20:32: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... Venu_night.0035 Magnify image Venu_night.0035 to image Venu_night.0035. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 Venu_night.0035,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] Venu_night.0035 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... Venu_night.0035 -> noscatVenu_night.0035 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... Venus_day.0022 Magnify image Venus_day.0022 to image Venus_day.0022. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 Venus_day.0022,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] Venus_day.0022 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... Venus_day.0022 -> noscatVenus_day.0022 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... Venus_day.0024 Magnify image Venus_day.0024 to image Venus_day.0024. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 Venus_day.0024,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] Venus_day.0024 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... Venus_day.0024 -> noscatVenus_day.0024 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... Venus_day.0025 Magnify image Venus_day.0025 to image Venus_day.0025. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 Venus_day.0025,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] Venus_day.0025 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... Venus_day.0025 -> noscatVenus_day.0025 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... Venus_day.0027 Magnify image Venus_day.0027 to image Venus_day.0027. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 Venus_day.0027,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] Venus_day.0027 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... Venus_day.0027 -> noscatVenus_day.0027 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... Venus_day.0029 Magnify image Venus_day.0029 to image Venus_day.0029. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 Venus_day.0029,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] Venus_day.0029 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... Venus_day.0029 -> noscatVenus_day.0029 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... Venus_day.0030 Magnify image Venus_day.0030 to image Venus_day.0030. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 Venus_day.0030,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] Venus_day.0030 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... Venus_day.0030 -> noscatVenus_day.0030 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... Venus_day.0038 Magnify image Venus_day.0038 to image Venus_day.0038. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 Venus_day.0038,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] Venus_day.0038 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... Venus_day.0038 -> noscatVenus_day.0038 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... Venus_day.0042 Magnify image Venus_day.0042 to image Venus_day.0042. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 Venus_day.0042,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] Venus_day.0042 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... Venus_day.0042 -> noscatVenus_day.0042 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 30 20:46: EXTRACT: WARNING - Aperture 105: Dec 30 20:46: Total variance weighted spectrum flux is 7763.99 Dec 30 20:46: Total unweighted spectrum flux is 3462.397 Dec 30 20:46: EXTRACT: Aperture 105 variance spectrum bias factor is 0.4459559 Dec 30 20:46: EXTRACT: WARNING - Aperture 106: Dec 30 20:46: Total variance weighted spectrum flux is 9990.792 Dec 30 20:46: Total unweighted spectrum flux is 1232.454 Dec 30 20:46: EXTRACT: Aperture 106 variance spectrum bias factor is 0.123359 Dec 30 20:46: EXTRACT: WARNING - Aperture 107: Dec 30 20:46: Total variance weighted spectrum flux is 9792.562 Dec 30 20:46: Total unweighted spectrum flux is 2758.428 Dec 30 20:46: EXTRACT: Aperture 107 variance spectrum bias factor is 0.281686 Dec 30 20:46: EXTRACT: WARNING - Aperture 108: Dec 30 20:46: Total variance weighted spectrum flux is 4018.169 Dec 30 20:46: Total unweighted spectrum flux is 881.4448 Dec 30 20:46: EXTRACT: Aperture 108 variance spectrum bias factor is 0.2193648 Dec 30 20:46: EXTRACT: WARNING - Aperture 109: Dec 30 20:46: Total variance weighted spectrum flux is 5995.445 Dec 30 20:46: Total unweighted spectrum flux is 93.29662 Dec 30 20:46: EXTRACT: Aperture 109 variance spectrum bias factor is 0.01556125 Dec 30 20:46: EXTRACT: WARNING - Aperture 110: Dec 30 20:46: Total variance weighted spectrum flux is 4420.689 Dec 30 20:46: Total unweighted spectrum flux is 547.9418 Dec 30 20:46: EXTRACT: Aperture 110 variance spectrum bias factor is 0.1239494 Dec 30 20:46: EXTRACT: WARNING - Aperture 111: Dec 30 20:46: Total variance weighted spectrum flux is 3685.058 Dec 30 20:46: Total unweighted spectrum flux is -1634.996 Dec 30 20:46: Variance spectrum bias factor ignored Dec 30 20:46: EXTRACT: WARNING - Aperture 112: Dec 30 20:46: Total variance weighted spectrum flux is 6498.721 Dec 30 20:46: Total unweighted spectrum flux is 440.1067 Dec 30 20:46: EXTRACT: Aperture 112 variance spectrum bias factor is 0.06772205 Dec 30 20:46: EXTRACT: WARNING - Aperture 114: Dec 30 20:46: Total variance weighted spectrum flux is 4132.527 Dec 30 20:46: Total unweighted spectrum flux is -407.351 Dec 30 20:46: Variance spectrum bias factor ignored Dec 30 20:46: EXTRACT: WARNING - Aperture 115: Dec 30 20:46: Total variance weighted spectrum flux is 2598.332 Dec 30 20:46: Total unweighted spectrum flux is 326.4036 Dec 30 20:46: EXTRACT: Aperture 115 variance spectrum bias factor is 0.1256204 Resampling the object by a factor of 4 in the y direction... Venus_night.0023 Magnify image Venus_night.0023 to image Venus_night.0023. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 Venus_night.0023,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] Venus_night.0023 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... Venus_night.0023 -> noscatVenus_night.0023 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... Venus_night.0028 Magnify image Venus_night.0028 to image Venus_night.0028. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 Venus_night.0028,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] Venus_night.0028 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... Venus_night.0028 -> noscatVenus_night.0028 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... Venus_night.0041 Magnify image Venus_night.0041 to image Venus_night.0041. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 Venus_night.0041,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] Venus_night.0041 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... Venus_night.0041 -> noscatVenus_night.0041 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... add ThAr.0013.ec.fits,REFSPEC1 = ThAr.0013.ec.fits ThAr.0013.ec.fits updated add ThAr.0014.ec.fits,REFSPEC1 = ThAr.0014.ec.fits ThAr.0014.ec.fits updated add ThAr.0015.ec.fits,REFSPEC1 = ThAr.0015.ec.fits ThAr.0015.ec.fits updated add ThAr_blue.0010.ec.fits,REFSPEC1 = ThAr_blue.0010.ec.fits ThAr_blue.0010.ec.fits updated add ThAr_blue.0011.ec.fits,REFSPEC1 = ThAr_blue.0011.ec.fits ThAr_blue.0011.ec.fits updated add ThAr_blue.0012.ec.fits,REFSPEC1 = ThAr_blue.0012.ec.fits ThAr_blue.0012.ec.fits updated Flatfielding extracted arcs and object spectra... add ThAr.0013.ec.fits,UTMIDDLE = 0 ThAr.0013.ec.fits updated ThAr.0013.ec.fits,UTMIDDLE: 0 -> 23:47:14.069885 ThAr.0013.ec.fits updated add ThAr.0014.ec.fits,UTMIDDLE = 0 ThAr.0014.ec.fits updated ThAr.0014.ec.fits,UTMIDDLE: 0 -> 23:49:58.883847 ThAr.0014.ec.fits updated add ThAr.0015.ec.fits,UTMIDDLE = 0 ThAr.0015.ec.fits updated ThAr.0015.ec.fits,UTMIDDLE: 0 -> 23:52:41.062803 ThAr.0015.ec.fits updated add ThAr_blue.0010.ec.fits,UTMIDDLE = 0 ThAr_blue.0010.ec.fits updated ThAr_blue.0010.ec.fits,UTMIDDLE: 0 -> 23:36:41.184998 ThAr_blue.0010.ec.fits updated add ThAr_blue.0011.ec.fits,UTMIDDLE = 0 ThAr_blue.0011.ec.fits updated ThAr_blue.0011.ec.fits,UTMIDDLE: 0 -> 23:40:13.320997 ThAr_blue.0011.ec.fits updated add ThAr_blue.0012.ec.fits,UTMIDDLE = 0 ThAr_blue.0012.ec.fits updated ThAr_blue.0012.ec.fits,UTMIDDLE: 0 -> 23:43:46.164004 ThAr_blue.0012.ec.fits updated add A0V.0021.ec.fits,UTMIDDLE = 0 A0V.0021.ec.fits updated A0V.0021.ec.fits,UTMIDDLE: 0 -> 00:20:34.896081 A0V.0021.ec.fits updated add A0V.0026.ec.fits,UTMIDDLE = 0 A0V.0026.ec.fits updated A0V.0026.ec.fits,UTMIDDLE: 0 -> 00:45:16.562008 A0V.0026.ec.fits updated add A0V.0031.ec.fits,UTMIDDLE = 0 A0V.0031.ec.fits updated A0V.0031.ec.fits,UTMIDDLE: 0 -> 01:02:56.749138 A0V.0031.ec.fits updated add A0V.0040.ec.fits,UTMIDDLE = 0 A0V.0040.ec.fits updated A0V.0040.ec.fits,UTMIDDLE: 0 -> 01:48:26.169157 A0V.0040.ec.fits updated add Venu_day.0032.ec.fits,UTMIDDLE = 0 Venu_day.0032.ec.fits updated Venu_day.0032.ec.fits,UTMIDDLE: 0 -> 01:06:31.435903 Venu_day.0032.ec.fits updated add Venu_day.0033.ec.fits,UTMIDDLE = 0 Venu_day.0033.ec.fits updated Venu_day.0033.ec.fits,UTMIDDLE: 0 -> 01:09:04.703897 Venu_day.0033.ec.fits updated add Venu_day.0034.ec.fits,UTMIDDLE = 0 Venu_day.0034.ec.fits updated Venu_day.0034.ec.fits,UTMIDDLE: 0 -> 01:11:38.502350 Venu_day.0034.ec.fits updated add Venu_day.0036.ec.fits,UTMIDDLE = 0 Venu_day.0036.ec.fits updated Venu_day.0036.ec.fits,UTMIDDLE: 0 -> 01:27:00.420365 Venu_day.0036.ec.fits updated add Venu_day.0037.ec.fits,UTMIDDLE = 0 Venu_day.0037.ec.fits updated Venu_day.0037.ec.fits,UTMIDDLE: 0 -> 01:29:34.455842 Venu_day.0037.ec.fits updated add Venu_night.0035.ec.fits,UTMIDDLE = 0 Venu_night.0035.ec.fits updated Venu_night.0035.ec.fits,UTMIDDLE: 0 -> 01:19:24.092603 Venu_night.0035.ec.fits updated add Venus_day.0022.ec.fits,UTMIDDLE = 0 Venus_day.0022.ec.fits updated Venus_day.0022.ec.fits,UTMIDDLE: 0 -> 00:24:02.657873 Venus_day.0022.ec.fits updated add Venus_day.0024.ec.fits,UTMIDDLE = 0 Venus_day.0024.ec.fits updated Venus_day.0024.ec.fits,UTMIDDLE: 0 -> 00:39:35.554865 Venus_day.0024.ec.fits updated add Venus_day.0025.ec.fits,UTMIDDLE = 0 Venus_day.0025.ec.fits updated Venus_day.0025.ec.fits,UTMIDDLE: 0 -> 00:42:11.718825 Venus_day.0025.ec.fits updated add Venus_day.0027.ec.fits,UTMIDDLE = 0 Venus_day.0027.ec.fits updated Venus_day.0027.ec.fits,UTMIDDLE: 0 -> 00:48:25.669346 Venus_day.0027.ec.fits updated add Venus_day.0029.ec.fits,UTMIDDLE = 0 Venus_day.0029.ec.fits updated Venus_day.0029.ec.fits,UTMIDDLE: 0 -> 00:56:49.340837 Venus_day.0029.ec.fits updated add Venus_day.0030.ec.fits,UTMIDDLE = 0 Venus_day.0030.ec.fits updated Venus_day.0030.ec.fits,UTMIDDLE: 0 -> 00:59:22.003386 Venus_day.0030.ec.fits updated add Venus_day.0038.ec.fits,UTMIDDLE = 0 Venus_day.0038.ec.fits updated Venus_day.0038.ec.fits,UTMIDDLE: 0 -> 01:32:08.176313 Venus_day.0038.ec.fits updated add Venus_day.0042.ec.fits,UTMIDDLE = 0 Venus_day.0042.ec.fits updated Venus_day.0042.ec.fits,UTMIDDLE: 0 -> 02:06:13.005377 Venus_day.0042.ec.fits updated add Venus_night.0023.ec.fits,UTMIDDLE = 0 Venus_night.0023.ec.fits updated Venus_night.0023.ec.fits,UTMIDDLE: 0 -> 00:31:59.723622 Venus_night.0023.ec.fits updated add Venus_night.0028.ec.fits,UTMIDDLE = 0 Venus_night.0028.ec.fits updated Venus_night.0028.ec.fits,UTMIDDLE: 0 -> 00:51:30.923011 Venus_night.0028.ec.fits updated add Venus_night.0041.ec.fits,UTMIDDLE = 0 Venus_night.0041.ec.fits updated Venus_night.0041.ec.fits,UTMIDDLE: 0 -> 01:58:35.617064 Venus_night.0041.ec.fits updated Setting Julian Date Keywords # Image jd hjd ljd # SETJD: Observatory parameters for Apache Point Observatory # timezone = 7 A0V.0021.ec.fits 2456614.51429 2456614.51054 2456614 A0V.0026.ec.fits 2456614.53144 2456614.52768 2456614 A0V.0031.ec.fits 2456614.54371 2456614.53995 2456614 A0V.0040.ec.fits 2456614.57530 2456614.57154 2456614 Venu_day.0032.ec.fits 2456614.54620 2456614.54223 2456614 Venu_day.0033.ec.fits 2456614.54797 2456614.54400 2456614 Venu_day.0034.ec.fits 2456614.54975 2456614.54578 2456614 Venu_day.0036.ec.fits 2456614.56042 2456614.55645 2456614 Venu_day.0037.ec.fits 2456614.56220 2456614.55823 2456614 Venu_night.0035.ec.fits 2456614.55514 2456614.55117 2456614 Venus_day.0022.ec.fits 2456614.51670 2456614.51273 2456614 Venus_day.0024.ec.fits 2456614.52749 2456614.52352 2456614 Venus_day.0025.ec.fits 2456614.52930 2456614.52533 2456614 Venus_day.0027.ec.fits 2456614.53363 2456614.52966 2456614 Venus_day.0029.ec.fits 2456614.53946 2456614.53549 2456614 Venus_day.0030.ec.fits 2456614.54123 2456614.53726 2456614 Venus_day.0038.ec.fits 2456614.56398 2456614.56001 2456614 Venus_day.0042.ec.fits 2456614.58765 2456614.58368 2456614 Venus_night.0023.ec.fits 2456614.52222 2456614.51825 2456614 Venus_night.0028.ec.fits 2456614.53577 2456614.53180 2456614 Venus_night.0041.ec.fits 2456614.58236 2456614.57839 2456614 ECREIDENTIFY: NOAO/IRAF V2.16.1 candaceg@denebola.nmsu.edu Mon 20:51:40 30-Dec-2013 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS ThAr.0013.ec 1350/2055 1350/1350 -4.41 32.3 5.70E-5 0.013 ThAr.0014.ec 1275/2055 1275/1275 -4.32 31.7 5.58E-5 0.0141 ThAr.0015.ec 1182/2055 1182/1182 -4.23 31. 5.47E-5 0.0126 ThAr_blue.0010.ec 2039/2055 2039/2039 -4.89 35.9 6.33E-5 0.00797 ThAr_blue.0011.ec 2040/2055 2040/2040 -4.73 34.7 6.11E-5 0.00793 ThAr_blue.0012.ec 2044/2055 2044/2044 -4.55 33.4 5.89E-5 0.00739 [A0V.0021.ec] refspec1='ThAr.0015.ec' [A0V.0026.ec] refspec1='ThAr.0015.ec' [A0V.0031.ec] refspec1='ThAr.0015.ec' [A0V.0040.ec] refspec1='ThAr.0015.ec' [Venu_day.0032.ec] refspec1='ThAr.0015.ec' [Venu_day.0033.ec] refspec1='ThAr.0015.ec' [Venu_day.0034.ec] refspec1='ThAr.0015.ec' [Venu_day.0036.ec] refspec1='ThAr.0015.ec' [Venu_day.0037.ec] refspec1='ThAr.0015.ec' [Venu_night.0035.ec] refspec1='ThAr.0015.ec' [Venus_day.0022.ec] refspec1='ThAr.0015.ec' [Venus_day.0024.ec] refspec1='ThAr.0015.ec' [Venus_day.0025.ec] refspec1='ThAr.0015.ec' [Venus_day.0027.ec] refspec1='ThAr.0015.ec' [Venus_day.0029.ec] refspec1='ThAr.0015.ec' [Venus_day.0030.ec] refspec1='ThAr.0015.ec' [Venus_day.0038.ec] refspec1='ThAr.0015.ec' [Venus_day.0042.ec] refspec1='ThAr.0015.ec' [Venus_night.0023.ec] refspec1='ThAr.0015.ec' [Venus_night.0028.ec] refspec1='ThAr.0015.ec' [Venus_night.0041.ec] refspec1='ThAr.0015.ec' [ThAr.0013.ec] refspec1='ThAr.0013.ec' [ThAr.0014.ec] refspec1='ThAr.0014.ec' [ThAr.0015.ec] refspec1='ThAr.0015.ec' [ThAr_blue.0010.ec] refspec1='ThAr_blue.0010.ec' [ThAr_blue.0011.ec] refspec1='ThAr_blue.0011.ec' [ThAr_blue.0012.ec] refspec1='ThAr_blue.0012.ec' A0V.0021.ec.fits: REFSPEC1 = 'ThAr.0015.ec 1.' A0V.0021.ec.fits: ap = 1, w1 = 10811.12, w2 = 10583.03, dw = -0.13823, nw = 1651 A0V.0021.ec.fits: ap = 2, w1 = 10610.93, w2 = 10387.06, dw = -0.13568, nw = 1651 A0V.0021.ec.fits: ap = 3, w1 = 10418.03, w2 = 10198.22, dw = -0.13322, nw = 1651 A0V.0021.ec.fits: ap = 4, w1 = 10232.01, w2 = 10016.12, dw = -0.13084, nw = 1651 A0V.0021.ec.fits: ap = 5, w1 = 10052.52, w2 = 9840.416, dw = -0.12855, nw = 1651 A0V.0021.ec.fits: ap = 6, w1 = 9879.219, w2 = 9670.767, dw = -0.12633, nw = 1651 A0V.0021.ec.fits: ap = 7, w1 = 9711.791, w2 = 9506.869, dw = -0.12419, nw = 1651 A0V.0021.ec.fits: ap = 8, w1 = 9549.944, w2 = 9348.435, dw = -0.12213, nw = 1651 A0V.0021.ec.fits: ap = 9, w1 = 9393.403, w2 = 9195.195, dw = -0.12013, nw = 1651 A0V.0021.ec.fits: ap = 10, w1 = 9241.912, w2 = 9046.899, dw = -0.11819, nw = 1651 A0V.0021.ec.fits: ap = 11, w1 = 9095.229, w2 = 8903.31, dw = -0.11631, nw = 1651 A0V.0021.ec.fits: ap = 12, w1 = 8953.13, w2 = 8764.209, dw = -0.1145, nw = 1651 A0V.0021.ec.fits: ap = 13, w1 = 8815.403, w2 = 8629.387, dw = -0.11274, nw = 1651 A0V.0021.ec.fits: ap = 14, w1 = 8681.849, w2 = 8498.652, dw = -0.11103, nw = 1651 A0V.0021.ec.fits: ap = 15, w1 = 8552.282, w2 = 8371.819, dw = -0.10937, nw = 1651 A0V.0021.ec.fits: ap = 16, w1 = 8426.525, w2 = 8248.716, dw = -0.10776, nw = 1651 A0V.0021.ec.fits: ap = 17, w1 = 8304.413, w2 = 8129.182, dw = -0.1062, nw = 1651 A0V.0021.ec.fits: ap = 18, w1 = 8185.79, w2 = 8013.063, dw = -0.10468, nw = 1651 A0V.0021.ec.fits: ap = 19, w1 = 8070.509, w2 = 7900.215, dw = -0.10321, nw = 1651 A0V.0021.ec.fits: ap = 20, w1 = 7958.429, w2 = 7790.501, dw = -0.10177, nw = 1651 A0V.0021.ec.fits: ap = 21, w1 = 7849.42, w2 = 7683.794, dw = -0.10038, nw = 1651 A0V.0021.ec.fits: ap = 22, w1 = 7743.357, w2 = 7579.971, dw = -0.09902, nw = 1651 A0V.0021.ec.fits: ap = 23, w1 = 7640.122, w2 = 7478.916, dw = -0.0977, nw = 1651 A0V.0021.ec.fits: ap = 24, w1 = 7539.604, w2 = 7380.521, dw = -0.09641, nw = 1651 A0V.0021.ec.fits: ap = 25, w1 = 7441.697, w2 = 7284.681, dw = -0.09516, nw = 1651 A0V.0021.ec.fits: ap = 26, w1 = 7346.3, w2 = 7191.299, dw = -0.09394, nw = 1651 A0V.0021.ec.fits: ap = 27, w1 = 7253.318, w2 = 7100.281, dw = -0.09275, nw = 1651 A0V.0021.ec.fits: ap = 28, w1 = 7162.661, w2 = 7011.539, dw = -0.09159, nw = 1651 A0V.0021.ec.fits: ap = 29, w1 = 7074.242, w2 = 6924.988, dw = -0.09046, nw = 1651 A0V.0021.ec.fits: ap = 30, w1 = 6987.98, w2 = 6840.548, dw = -0.08935, nw = 1651 A0V.0021.ec.fits: ap = 31, w1 = 6903.796, w2 = 6758.142, dw = -0.08827, nw = 1651 A0V.0021.ec.fits: ap = 32, w1 = 6821.616, w2 = 6677.699, dw = -0.08722, nw = 1651 A0V.0021.ec.fits: ap = 33, w1 = 6741.371, w2 = 6599.148, dw = -0.0862, nw = 1651 A0V.0021.ec.fits: ap = 34, w1 = 6662.991, w2 = 6522.425, dw = -0.08519, nw = 1651 A0V.0021.ec.fits: ap = 35, w1 = 6586.413, w2 = 6447.465, dw = -0.08421, nw = 1651 A0V.0021.ec.fits: ap = 36, w1 = 6511.576, w2 = 6374.209, dw = -0.08325, nw = 1651 A0V.0021.ec.fits: ap = 37, w1 = 6438.421, w2 = 6302.599, dw = -0.08232, nw = 1651 A0V.0021.ec.fits: ap = 38, w1 = 6366.891, w2 = 6232.58, dw = -0.0814, nw = 1651 A0V.0021.ec.fits: ap = 39, w1 = 6296.933, w2 = 6164.101, dw = -0.0805, nw = 1651 A0V.0021.ec.fits: ap = 40, w1 = 6228.496, w2 = 6097.11, dw = -0.07963, nw = 1651 A0V.0021.ec.fits: ap = 41, w1 = 6161.531, w2 = 6031.56, dw = -0.07877, nw = 1651 A0V.0021.ec.fits: ap = 42, w1 = 6095.991, w2 = 5967.404, dw = -0.07793, nw = 1651 A0V.0021.ec.fits: ap = 43, w1 = 6031.831, w2 = 5904.599, dw = -0.07711, nw = 1651 A0V.0021.ec.fits: ap = 44, w1 = 5969.007, w2 = 5843.103, dw = -0.07631, nw = 1651 A0V.0021.ec.fits: ap = 45, w1 = 5907.479, w2 = 5782.875, dw = -0.07552, nw = 1651 A0V.0021.ec.fits: ap = 46, w1 = 5847.206, w2 = 5723.876, dw = -0.07475, nw = 1651 A0V.0021.ec.fits: ap = 47, w1 = 5788.152, w2 = 5666.069, dw = -0.07399, nw = 1651 A0V.0021.ec.fits: ap = 48, w1 = 5730.278, w2 = 5609.418, dw = -0.07325, nw = 1651 A0V.0021.ec.fits: ap = 49, w1 = 5673.55, w2 = 5553.889, dw = -0.07252, nw = 1651 A0V.0021.ec.fits: ap = 50, w1 = 5617.935, w2 = 5499.449, dw = -0.07181, nw = 1651 A0V.0021.ec.fits: ap = 51, w1 = 5563.4, w2 = 5446.066, dw = -0.07111, nw = 1651 A0V.0021.ec.fits: ap = 52, w1 = 5509.914, w2 = 5393.71, dw = -0.07043, nw = 1651 A0V.0021.ec.fits: ap = 53, w1 = 5457.446, w2 = 5342.351, dw = -0.06975, nw = 1651 A0V.0021.ec.fits: ap = 54, w1 = 5405.969, w2 = 5291.961, dw = -0.0691, nw = 1651 A0V.0021.ec.fits: ap = 55, w1 = 5355.453, w2 = 5242.514, dw = -0.06845, nw = 1651 A0V.0021.ec.fits: ap = 56, w1 = 5305.874, w2 = 5193.982, dw = -0.06781, nw = 1651 A0V.0021.ec.fits: ap = 57, w1 = 5257.204, w2 = 5146.34, dw = -0.06719, nw = 1651 A0V.0021.ec.fits: ap = 58, w1 = 5209.419, w2 = 5099.565, dw = -0.06658, nw = 1651 A0V.0021.ec.fits: ap = 59, w1 = 5162.495, w2 = 5053.633, dw = -0.06598, nw = 1651 A0V.0021.ec.fits: ap = 60, w1 = 5116.409, w2 = 5008.521, dw = -0.06539, nw = 1651 A0V.0021.ec.fits: ap = 61, w1 = 5071.139, w2 = 4964.208, dw = -0.06481, nw = 1651 A0V.0021.ec.fits: ap = 62, w1 = 5026.663, w2 = 4920.672, dw = -0.06424, nw = 1651 A0V.0021.ec.fits: ap = 63, w1 = 4982.961, w2 = 4877.894, dw = -0.06368, nw = 1651 A0V.0021.ec.fits: ap = 64, w1 = 4940.012, w2 = 4835.853, dw = -0.06313, nw = 1651 A0V.0021.ec.fits: ap = 65, w1 = 4897.798, w2 = 4794.531, dw = -0.06259, nw = 1651 A0V.0021.ec.fits: ap = 66, w1 = 4856.299, w2 = 4753.91, dw = -0.06205, nw = 1651 A0V.0021.ec.fits: ap = 67, w1 = 4815.497, w2 = 4713.971, dw = -0.06153, nw = 1651 A0V.0021.ec.fits: ap = 68, w1 = 4775.376, w2 = 4674.699, dw = -0.06102, nw = 1651 A0V.0021.ec.fits: ap = 69, w1 = 4735.918, w2 = 4636.075, dw = -0.06051, nw = 1651 A0V.0021.ec.fits: ap = 70, w1 = 4697.107, w2 = 4598.085, dw = -0.06001, nw = 1651 A0V.0021.ec.fits: ap = 71, w1 = 4658.926, w2 = 4560.713, dw = -0.05952, nw = 1651 A0V.0021.ec.fits: ap = 72, w1 = 4621.362, w2 = 4523.944, dw = -0.05904, nw = 1651 A0V.0021.ec.fits: ap = 73, w1 = 4584.399, w2 = 4487.763, dw = -0.05857, nw = 1651 A0V.0021.ec.fits: ap = 74, w1 = 4548.022, w2 = 4452.156, dw = -0.0581, nw = 1651 A0V.0021.ec.fits: ap = 75, w1 = 4512.219, w2 = 4417.111, dw = -0.05764, nw = 1651 A0V.0021.ec.fits: ap = 76, w1 = 4476.974, w2 = 4382.613, dw = -0.05719, nw = 1651 A0V.0021.ec.fits: ap = 77, w1 = 4442.277, w2 = 4348.651, dw = -0.05674, nw = 1651 A0V.0021.ec.fits: ap = 78, w1 = 4408.113, w2 = 4315.211, dw = -0.0563, nw = 1651 A0V.0021.ec.fits: ap = 79, w1 = 4374.47, w2 = 4282.282, dw = -0.05587, nw = 1651 A0V.0021.ec.fits: ap = 80, w1 = 4341.338, w2 = 4249.852, dw = -0.05545, nw = 1651 A0V.0021.ec.fits: ap = 81, w1 = 4308.703, w2 = 4217.91, dw = -0.05503, nw = 1651 A0V.0021.ec.fits: ap = 82, w1 = 4276.556, w2 = 4186.445, dw = -0.05461, nw = 1651 A0V.0021.ec.fits: ap = 83, w1 = 4244.885, w2 = 4155.446, dw = -0.05421, nw = 1651 A0V.0021.ec.fits: ap = 84, w1 = 4213.68, w2 = 4124.904, dw = -0.0538, nw = 1651 A0V.0021.ec.fits: ap = 85, w1 = 4182.93, w2 = 4094.807, dw = -0.05341, nw = 1651 A0V.0021.ec.fits: ap = 86, w1 = 4152.626, w2 = 4065.147, dw = -0.05302, nw = 1651 A0V.0021.ec.fits: ap = 87, w1 = 4122.758, w2 = 4035.914, dw = -0.05263, nw = 1651 A0V.0021.ec.fits: ap = 88, w1 = 4093.316, w2 = 4007.099, dw = -0.05225, nw = 1651 A0V.0021.ec.fits: ap = 89, w1 = 4064.292, w2 = 3978.693, dw = -0.05188, nw = 1651 A0V.0021.ec.fits: ap = 90, w1 = 4035.677, w2 = 3950.687, dw = -0.05151, nw = 1651 A0V.0021.ec.fits: ap = 91, w1 = 4007.462, w2 = 3923.073, dw = -0.05114, nw = 1651 A0V.0021.ec.fits: ap = 92, w1 = 3979.638, w2 = 3895.843, dw = -0.05078, nw = 1651 A0V.0021.ec.fits: ap = 93, w1 = 3952.199, w2 = 3868.989, dw = -0.05043, nw = 1651 A0V.0021.ec.fits: ap = 94, w1 = 3925.135, w2 = 3842.503, dw = -0.05008, nw = 1651 A0V.0021.ec.fits: ap = 95, w1 = 3898.439, w2 = 3816.378, dw = -0.04973, nw = 1651 A0V.0021.ec.fits: ap = 96, w1 = 3872.104, w2 = 3790.606, dw = -0.04939, nw = 1651 A0V.0021.ec.fits: ap = 97, w1 = 3846.123, w2 = 3765.18, dw = -0.04906, nw = 1651 A0V.0021.ec.fits: ap = 98, w1 = 3820.487, w2 = 3740.094, dw = -0.04872, nw = 1651 A0V.0021.ec.fits: ap = 99, w1 = 3795.191, w2 = 3715.34, dw = -0.04839, nw = 1651 A0V.0021.ec.fits: ap = 100, w1 = 3770.228, w2 = 3690.913, dw = -0.04807, nw = 1651 A0V.0021.ec.fits: ap = 101, w1 = 3745.591, w2 = 3666.805, dw = -0.04775, nw = 1651 A0V.0021.ec.fits: ap = 102, w1 = 3721.274, w2 = 3643.01, dw = -0.04743, nw = 1651 A0V.0021.ec.fits: ap = 103, w1 = 3697.271, w2 = 3619.523, dw = -0.04712, nw = 1651 A0V.0021.ec.fits: ap = 104, w1 = 3673.575, w2 = 3596.337, dw = -0.04681, nw = 1651 A0V.0021.ec.fits: ap = 105, w1 = 3650.181, w2 = 3573.447, dw = -0.04651, nw = 1651 A0V.0021.ec.fits: ap = 106, w1 = 3627.082, w2 = 3550.847, dw = -0.0462, nw = 1651 A0V.0021.ec.fits: ap = 107, w1 = 3604.274, w2 = 3528.532, dw = -0.0459, nw = 1651 A0V.0021.ec.fits: ap = 108, w1 = 3581.751, w2 = 3506.496, dw = -0.04561, nw = 1651 A0V.0021.ec.fits: ap = 109, w1 = 3559.508, w2 = 3484.735, dw = -0.04532, nw = 1651 A0V.0021.ec.fits: ap = 110, w1 = 3537.539, w2 = 3463.242, dw = -0.04503, nw = 1651 A0V.0021.ec.fits: ap = 111, w1 = 3515.84, w2 = 3442.014, dw = -0.04474, nw = 1651 A0V.0021.ec.fits: ap = 112, w1 = 3494.404, w2 = 3421.044, dw = -0.04446, nw = 1651 A0V.0021.ec.fits: ap = 113, w1 = 3473.229, w2 = 3400.33, dw = -0.04418, nw = 1651 A0V.0021.ec.fits: ap = 114, w1 = 3452.308, w2 = 3379.865, dw = -0.0439, nw = 1651 A0V.0021.ec.fits: ap = 115, w1 = 3431.638, w2 = 3359.646, dw = -0.04363, nw = 1651 A0V.0026.ec.fits: REFSPEC1 = 'ThAr.0015.ec 1.' A0V.0026.ec.fits: ap = 1, w1 = 10811.12, w2 = 10583.03, dw = -0.13823, nw = 1651 A0V.0026.ec.fits: ap = 2, w1 = 10610.93, w2 = 10387.06, dw = -0.13568, nw = 1651 A0V.0026.ec.fits: ap = 3, w1 = 10418.03, w2 = 10198.22, dw = -0.13322, nw = 1651 A0V.0026.ec.fits: ap = 4, w1 = 10232.01, w2 = 10016.12, dw = -0.13084, nw = 1651 A0V.0026.ec.fits: ap = 5, w1 = 10052.52, w2 = 9840.416, dw = -0.12855, nw = 1651 A0V.0026.ec.fits: ap = 6, w1 = 9879.219, w2 = 9670.767, dw = -0.12633, nw = 1651 A0V.0026.ec.fits: ap = 7, w1 = 9711.791, w2 = 9506.869, dw = -0.12419, nw = 1651 A0V.0026.ec.fits: ap = 8, w1 = 9549.944, w2 = 9348.435, dw = -0.12213, nw = 1651 A0V.0026.ec.fits: ap = 9, w1 = 9393.403, w2 = 9195.195, dw = -0.12013, nw = 1651 A0V.0026.ec.fits: ap = 10, w1 = 9241.912, w2 = 9046.899, dw = -0.11819, nw = 1651 A0V.0026.ec.fits: ap = 11, w1 = 9095.229, w2 = 8903.31, dw = -0.11631, nw = 1651 A0V.0026.ec.fits: ap = 12, w1 = 8953.13, w2 = 8764.209, dw = -0.1145, nw = 1651 A0V.0026.ec.fits: ap = 13, w1 = 8815.403, w2 = 8629.387, dw = -0.11274, nw = 1651 A0V.0026.ec.fits: ap = 14, w1 = 8681.849, w2 = 8498.652, dw = -0.11103, nw = 1651 A0V.0026.ec.fits: ap = 15, w1 = 8552.282, w2 = 8371.819, dw = -0.10937, nw = 1651 A0V.0026.ec.fits: ap = 16, w1 = 8426.525, w2 = 8248.716, dw = -0.10776, nw = 1651 A0V.0026.ec.fits: ap = 17, w1 = 8304.413, w2 = 8129.182, dw = -0.1062, nw = 1651 A0V.0026.ec.fits: ap = 18, w1 = 8185.79, w2 = 8013.063, dw = -0.10468, nw = 1651 A0V.0026.ec.fits: ap = 19, w1 = 8070.509, w2 = 7900.215, dw = -0.10321, nw = 1651 A0V.0026.ec.fits: ap = 20, w1 = 7958.429, w2 = 7790.501, dw = -0.10177, nw = 1651 A0V.0026.ec.fits: ap = 21, w1 = 7849.42, w2 = 7683.794, dw = -0.10038, nw = 1651 A0V.0026.ec.fits: ap = 22, w1 = 7743.357, w2 = 7579.971, dw = -0.09902, nw = 1651 A0V.0026.ec.fits: ap = 23, w1 = 7640.122, w2 = 7478.916, dw = -0.0977, nw = 1651 A0V.0026.ec.fits: ap = 24, w1 = 7539.604, w2 = 7380.521, dw = -0.09641, nw = 1651 A0V.0026.ec.fits: ap = 25, w1 = 7441.697, w2 = 7284.681, dw = -0.09516, nw = 1651 A0V.0026.ec.fits: ap = 26, w1 = 7346.3, w2 = 7191.299, dw = -0.09394, nw = 1651 A0V.0026.ec.fits: ap = 27, w1 = 7253.318, w2 = 7100.281, dw = -0.09275, nw = 1651 A0V.0026.ec.fits: ap = 28, w1 = 7162.661, w2 = 7011.539, dw = -0.09159, nw = 1651 A0V.0026.ec.fits: ap = 29, w1 = 7074.242, w2 = 6924.988, dw = -0.09046, nw = 1651 A0V.0026.ec.fits: ap = 30, w1 = 6987.98, w2 = 6840.548, dw = -0.08935, nw = 1651 A0V.0026.ec.fits: ap = 31, w1 = 6903.796, w2 = 6758.142, dw = -0.08827, nw = 1651 A0V.0026.ec.fits: ap = 32, w1 = 6821.616, w2 = 6677.699, dw = -0.08722, nw = 1651 A0V.0026.ec.fits: ap = 33, w1 = 6741.371, w2 = 6599.148, dw = -0.0862, nw = 1651 A0V.0026.ec.fits: ap = 34, w1 = 6662.991, w2 = 6522.425, dw = -0.08519, nw = 1651 A0V.0026.ec.fits: ap = 35, w1 = 6586.413, w2 = 6447.465, dw = -0.08421, nw = 1651 A0V.0026.ec.fits: ap = 36, w1 = 6511.576, w2 = 6374.209, dw = -0.08325, nw = 1651 A0V.0026.ec.fits: ap = 37, w1 = 6438.421, w2 = 6302.599, dw = -0.08232, nw = 1651 A0V.0026.ec.fits: ap = 38, w1 = 6366.891, w2 = 6232.58, dw = -0.0814, nw = 1651 A0V.0026.ec.fits: ap = 39, w1 = 6296.933, w2 = 6164.101, dw = -0.0805, nw = 1651 A0V.0026.ec.fits: ap = 40, w1 = 6228.496, w2 = 6097.11, dw = -0.07963, nw = 1651 A0V.0026.ec.fits: ap = 41, w1 = 6161.531, w2 = 6031.56, dw = -0.07877, nw = 1651 A0V.0026.ec.fits: ap = 42, w1 = 6095.991, w2 = 5967.404, dw = -0.07793, nw = 1651 A0V.0026.ec.fits: ap = 43, w1 = 6031.831, w2 = 5904.599, dw = -0.07711, nw = 1651 A0V.0026.ec.fits: ap = 44, w1 = 5969.007, w2 = 5843.103, dw = -0.07631, nw = 1651 A0V.0026.ec.fits: ap = 45, w1 = 5907.479, w2 = 5782.875, dw = -0.07552, nw = 1651 A0V.0026.ec.fits: ap = 46, w1 = 5847.206, w2 = 5723.876, dw = -0.07475, nw = 1651 A0V.0026.ec.fits: ap = 47, w1 = 5788.152, w2 = 5666.069, dw = -0.07399, nw = 1651 A0V.0026.ec.fits: ap = 48, w1 = 5730.278, w2 = 5609.418, dw = -0.07325, nw = 1651 A0V.0026.ec.fits: ap = 49, w1 = 5673.55, w2 = 5553.889, dw = -0.07252, nw = 1651 A0V.0026.ec.fits: ap = 50, w1 = 5617.935, w2 = 5499.449, dw = -0.07181, nw = 1651 A0V.0026.ec.fits: ap = 51, w1 = 5563.4, w2 = 5446.066, dw = -0.07111, nw = 1651 A0V.0026.ec.fits: ap = 52, w1 = 5509.914, w2 = 5393.71, dw = -0.07043, nw = 1651 A0V.0026.ec.fits: ap = 53, w1 = 5457.446, w2 = 5342.351, dw = -0.06975, nw = 1651 A0V.0026.ec.fits: ap = 54, w1 = 5405.969, w2 = 5291.961, dw = -0.0691, nw = 1651 A0V.0026.ec.fits: ap = 55, w1 = 5355.453, w2 = 5242.514, dw = -0.06845, nw = 1651 A0V.0026.ec.fits: ap = 56, w1 = 5305.874, w2 = 5193.982, dw = -0.06781, nw = 1651 A0V.0026.ec.fits: ap = 57, w1 = 5257.204, w2 = 5146.34, dw = -0.06719, nw = 1651 A0V.0026.ec.fits: ap = 58, w1 = 5209.419, w2 = 5099.565, dw = -0.06658, nw = 1651 A0V.0026.ec.fits: ap = 59, w1 = 5162.495, w2 = 5053.633, dw = -0.06598, nw = 1651 A0V.0026.ec.fits: ap = 60, w1 = 5116.409, w2 = 5008.521, dw = -0.06539, nw = 1651 A0V.0026.ec.fits: ap = 61, w1 = 5071.139, w2 = 4964.208, dw = -0.06481, nw = 1651 A0V.0026.ec.fits: ap = 62, w1 = 5026.663, w2 = 4920.672, dw = -0.06424, nw = 1651 A0V.0026.ec.fits: ap = 63, w1 = 4982.961, w2 = 4877.894, dw = -0.06368, nw = 1651 A0V.0026.ec.fits: ap = 64, w1 = 4940.012, w2 = 4835.853, dw = -0.06313, nw = 1651 A0V.0026.ec.fits: ap = 65, w1 = 4897.798, w2 = 4794.531, dw = -0.06259, nw = 1651 A0V.0026.ec.fits: ap = 66, w1 = 4856.299, w2 = 4753.91, dw = -0.06205, nw = 1651 A0V.0026.ec.fits: ap = 67, w1 = 4815.497, w2 = 4713.971, dw = -0.06153, nw = 1651 A0V.0026.ec.fits: ap = 68, w1 = 4775.376, w2 = 4674.699, dw = -0.06102, nw = 1651 A0V.0026.ec.fits: ap = 69, w1 = 4735.918, w2 = 4636.075, dw = -0.06051, nw = 1651 A0V.0026.ec.fits: ap = 70, w1 = 4697.107, w2 = 4598.085, dw = -0.06001, nw = 1651 A0V.0026.ec.fits: ap = 71, w1 = 4658.926, w2 = 4560.713, dw = -0.05952, nw = 1651 A0V.0026.ec.fits: ap = 72, w1 = 4621.362, w2 = 4523.944, dw = -0.05904, nw = 1651 A0V.0026.ec.fits: ap = 73, w1 = 4584.399, w2 = 4487.763, dw = -0.05857, nw = 1651 A0V.0026.ec.fits: ap = 74, w1 = 4548.022, w2 = 4452.156, dw = -0.0581, nw = 1651 A0V.0026.ec.fits: ap = 75, w1 = 4512.219, w2 = 4417.111, dw = -0.05764, nw = 1651 A0V.0026.ec.fits: ap = 76, w1 = 4476.974, w2 = 4382.613, dw = -0.05719, nw = 1651 A0V.0026.ec.fits: ap = 77, w1 = 4442.277, w2 = 4348.651, dw = -0.05674, nw = 1651 A0V.0026.ec.fits: ap = 78, w1 = 4408.113, w2 = 4315.211, dw = -0.0563, nw = 1651 A0V.0026.ec.fits: ap = 79, w1 = 4374.47, w2 = 4282.282, dw = -0.05587, nw = 1651 A0V.0026.ec.fits: ap = 80, w1 = 4341.338, w2 = 4249.852, dw = -0.05545, nw = 1651 A0V.0026.ec.fits: ap = 81, w1 = 4308.703, w2 = 4217.91, dw = -0.05503, nw = 1651 A0V.0026.ec.fits: ap = 82, w1 = 4276.556, w2 = 4186.445, dw = -0.05461, nw = 1651 A0V.0026.ec.fits: ap = 83, w1 = 4244.885, w2 = 4155.446, dw = -0.05421, nw = 1651 A0V.0026.ec.fits: ap = 84, w1 = 4213.68, w2 = 4124.904, dw = -0.0538, nw = 1651 A0V.0026.ec.fits: ap = 85, w1 = 4182.93, w2 = 4094.807, dw = -0.05341, nw = 1651 A0V.0026.ec.fits: ap = 86, w1 = 4152.626, w2 = 4065.147, dw = -0.05302, nw = 1651 A0V.0026.ec.fits: ap = 87, w1 = 4122.758, w2 = 4035.914, dw = -0.05263, nw = 1651 A0V.0026.ec.fits: ap = 88, w1 = 4093.316, w2 = 4007.099, dw = -0.05225, nw = 1651 A0V.0026.ec.fits: ap = 89, w1 = 4064.292, w2 = 3978.693, dw = -0.05188, nw = 1651 A0V.0026.ec.fits: ap = 90, w1 = 4035.677, w2 = 3950.687, dw = -0.05151, nw = 1651 A0V.0026.ec.fits: ap = 91, w1 = 4007.462, w2 = 3923.073, dw = -0.05114, nw = 1651 A0V.0026.ec.fits: ap = 92, w1 = 3979.638, w2 = 3895.843, dw = -0.05078, nw = 1651 A0V.0026.ec.fits: ap = 93, w1 = 3952.199, w2 = 3868.989, dw = -0.05043, nw = 1651 A0V.0026.ec.fits: ap = 94, w1 = 3925.135, w2 = 3842.503, dw = -0.05008, nw = 1651 A0V.0026.ec.fits: ap = 95, w1 = 3898.439, w2 = 3816.378, dw = -0.04973, nw = 1651 A0V.0026.ec.fits: ap = 96, w1 = 3872.104, w2 = 3790.606, dw = -0.04939, nw = 1651 A0V.0026.ec.fits: ap = 97, w1 = 3846.123, w2 = 3765.18, dw = -0.04906, nw = 1651 A0V.0026.ec.fits: ap = 98, w1 = 3820.487, w2 = 3740.094, dw = -0.04872, nw = 1651 A0V.0026.ec.fits: ap = 99, w1 = 3795.191, w2 = 3715.34, dw = -0.04839, nw = 1651 A0V.0026.ec.fits: ap = 100, w1 = 3770.228, w2 = 3690.913, dw = -0.04807, nw = 1651 A0V.0026.ec.fits: ap = 101, w1 = 3745.591, w2 = 3666.805, dw = -0.04775, nw = 1651 A0V.0026.ec.fits: ap = 102, w1 = 3721.274, w2 = 3643.01, dw = -0.04743, nw = 1651 A0V.0026.ec.fits: ap = 103, w1 = 3697.271, w2 = 3619.523, dw = -0.04712, nw = 1651 A0V.0026.ec.fits: ap = 104, w1 = 3673.575, w2 = 3596.337, dw = -0.04681, nw = 1651 A0V.0026.ec.fits: ap = 105, w1 = 3650.181, w2 = 3573.447, dw = -0.04651, nw = 1651 A0V.0026.ec.fits: ap = 106, w1 = 3627.082, w2 = 3550.847, dw = -0.0462, nw = 1651 A0V.0026.ec.fits: ap = 107, w1 = 3604.274, w2 = 3528.532, dw = -0.0459, nw = 1651 A0V.0026.ec.fits: ap = 108, w1 = 3581.751, w2 = 3506.496, dw = -0.04561, nw = 1651 A0V.0026.ec.fits: ap = 109, w1 = 3559.508, w2 = 3484.735, dw = -0.04532, nw = 1651 A0V.0026.ec.fits: ap = 110, w1 = 3537.539, w2 = 3463.242, dw = -0.04503, nw = 1651 A0V.0026.ec.fits: ap = 111, w1 = 3515.84, w2 = 3442.014, dw = -0.04474, nw = 1651 A0V.0026.ec.fits: ap = 112, w1 = 3494.404, w2 = 3421.044, dw = -0.04446, nw = 1651 A0V.0026.ec.fits: ap = 113, w1 = 3473.229, w2 = 3400.33, dw = -0.04418, nw = 1651 A0V.0026.ec.fits: ap = 114, w1 = 3452.308, w2 = 3379.865, dw = -0.0439, nw = 1651 A0V.0026.ec.fits: ap = 115, w1 = 3431.638, w2 = 3359.646, dw = -0.04363, nw = 1651 A0V.0031.ec.fits: REFSPEC1 = 'ThAr.0015.ec 1.' A0V.0031.ec.fits: ap = 1, w1 = 10811.12, w2 = 10583.03, dw = -0.13823, nw = 1651 A0V.0031.ec.fits: ap = 2, w1 = 10610.93, w2 = 10387.06, dw = -0.13568, nw = 1651 A0V.0031.ec.fits: ap = 3, w1 = 10418.03, w2 = 10198.22, dw = -0.13322, nw = 1651 A0V.0031.ec.fits: ap = 4, w1 = 10232.01, w2 = 10016.12, dw = -0.13084, nw = 1651 A0V.0031.ec.fits: ap = 5, w1 = 10052.52, w2 = 9840.416, dw = -0.12855, nw = 1651 A0V.0031.ec.fits: ap = 6, w1 = 9879.219, w2 = 9670.767, dw = -0.12633, nw = 1651 A0V.0031.ec.fits: ap = 7, w1 = 9711.791, w2 = 9506.869, dw = -0.12419, nw = 1651 A0V.0031.ec.fits: ap = 8, w1 = 9549.944, w2 = 9348.435, dw = -0.12213, nw = 1651 A0V.0031.ec.fits: ap = 9, w1 = 9393.403, w2 = 9195.195, dw = -0.12013, nw = 1651 A0V.0031.ec.fits: ap = 10, w1 = 9241.912, w2 = 9046.899, dw = -0.11819, nw = 1651 A0V.0031.ec.fits: ap = 11, w1 = 9095.229, w2 = 8903.31, dw = -0.11631, nw = 1651 A0V.0031.ec.fits: ap = 12, w1 = 8953.13, w2 = 8764.209, dw = -0.1145, nw = 1651 A0V.0031.ec.fits: ap = 13, w1 = 8815.403, w2 = 8629.387, dw = -0.11274, nw = 1651 A0V.0031.ec.fits: ap = 14, w1 = 8681.849, w2 = 8498.652, dw = -0.11103, nw = 1651 A0V.0031.ec.fits: ap = 15, w1 = 8552.282, w2 = 8371.819, dw = -0.10937, nw = 1651 A0V.0031.ec.fits: ap = 16, w1 = 8426.525, w2 = 8248.716, dw = -0.10776, nw = 1651 A0V.0031.ec.fits: ap = 17, w1 = 8304.413, w2 = 8129.182, dw = -0.1062, nw = 1651 A0V.0031.ec.fits: ap = 18, w1 = 8185.79, w2 = 8013.063, dw = -0.10468, nw = 1651 A0V.0031.ec.fits: ap = 19, w1 = 8070.509, w2 = 7900.215, dw = -0.10321, nw = 1651 A0V.0031.ec.fits: ap = 20, w1 = 7958.429, w2 = 7790.501, dw = -0.10177, nw = 1651 A0V.0031.ec.fits: ap = 21, w1 = 7849.42, w2 = 7683.794, dw = -0.10038, nw = 1651 A0V.0031.ec.fits: ap = 22, w1 = 7743.357, w2 = 7579.971, dw = -0.09902, nw = 1651 A0V.0031.ec.fits: ap = 23, w1 = 7640.122, w2 = 7478.916, dw = -0.0977, nw = 1651 A0V.0031.ec.fits: ap = 24, w1 = 7539.604, w2 = 7380.521, dw = -0.09641, nw = 1651 A0V.0031.ec.fits: ap = 25, w1 = 7441.697, w2 = 7284.681, dw = -0.09516, nw = 1651 A0V.0031.ec.fits: ap = 26, w1 = 7346.3, w2 = 7191.299, dw = -0.09394, nw = 1651 A0V.0031.ec.fits: ap = 27, w1 = 7253.318, w2 = 7100.281, dw = -0.09275, nw = 1651 A0V.0031.ec.fits: ap = 28, w1 = 7162.661, w2 = 7011.539, dw = -0.09159, nw = 1651 A0V.0031.ec.fits: ap = 29, w1 = 7074.242, w2 = 6924.988, dw = -0.09046, nw = 1651 A0V.0031.ec.fits: ap = 30, w1 = 6987.98, w2 = 6840.548, dw = -0.08935, nw = 1651 A0V.0031.ec.fits: ap = 31, w1 = 6903.796, w2 = 6758.142, dw = -0.08827, nw = 1651 A0V.0031.ec.fits: ap = 32, w1 = 6821.616, w2 = 6677.699, dw = -0.08722, nw = 1651 A0V.0031.ec.fits: ap = 33, w1 = 6741.371, w2 = 6599.148, dw = -0.0862, nw = 1651 A0V.0031.ec.fits: ap = 34, w1 = 6662.991, w2 = 6522.425, dw = -0.08519, nw = 1651 A0V.0031.ec.fits: ap = 35, w1 = 6586.413, w2 = 6447.465, dw = -0.08421, nw = 1651 A0V.0031.ec.fits: ap = 36, w1 = 6511.576, w2 = 6374.209, dw = -0.08325, nw = 1651 A0V.0031.ec.fits: ap = 37, w1 = 6438.421, w2 = 6302.599, dw = -0.08232, nw = 1651 A0V.0031.ec.fits: ap = 38, w1 = 6366.891, w2 = 6232.58, dw = -0.0814, nw = 1651 A0V.0031.ec.fits: ap = 39, w1 = 6296.933, w2 = 6164.101, dw = -0.0805, nw = 1651 A0V.0031.ec.fits: ap = 40, w1 = 6228.496, w2 = 6097.11, dw = -0.07963, nw = 1651 A0V.0031.ec.fits: ap = 41, w1 = 6161.531, w2 = 6031.56, dw = -0.07877, nw = 1651 A0V.0031.ec.fits: ap = 42, w1 = 6095.991, w2 = 5967.404, dw = -0.07793, nw = 1651 A0V.0031.ec.fits: ap = 43, w1 = 6031.831, w2 = 5904.599, dw = -0.07711, nw = 1651 A0V.0031.ec.fits: ap = 44, w1 = 5969.007, w2 = 5843.103, dw = -0.07631, nw = 1651 A0V.0031.ec.fits: ap = 45, w1 = 5907.479, w2 = 5782.875, dw = -0.07552, nw = 1651 A0V.0031.ec.fits: ap = 46, w1 = 5847.206, w2 = 5723.876, dw = -0.07475, nw = 1651 A0V.0031.ec.fits: ap = 47, w1 = 5788.152, w2 = 5666.069, dw = -0.07399, nw = 1651 A0V.0031.ec.fits: ap = 48, w1 = 5730.278, w2 = 5609.418, dw = -0.07325, nw = 1651 A0V.0031.ec.fits: ap = 49, w1 = 5673.55, w2 = 5553.889, dw = -0.07252, nw = 1651 A0V.0031.ec.fits: ap = 50, w1 = 5617.935, w2 = 5499.449, dw = -0.07181, nw = 1651 A0V.0031.ec.fits: ap = 51, w1 = 5563.4, w2 = 5446.066, dw = -0.07111, nw = 1651 A0V.0031.ec.fits: ap = 52, w1 = 5509.914, w2 = 5393.71, dw = -0.07043, nw = 1651 A0V.0031.ec.fits: ap = 53, w1 = 5457.446, w2 = 5342.351, dw = -0.06975, nw = 1651 A0V.0031.ec.fits: ap = 54, w1 = 5405.969, w2 = 5291.961, dw = -0.0691, nw = 1651 A0V.0031.ec.fits: ap = 55, w1 = 5355.453, w2 = 5242.514, dw = -0.06845, nw = 1651 A0V.0031.ec.fits: ap = 56, w1 = 5305.874, w2 = 5193.982, dw = -0.06781, nw = 1651 A0V.0031.ec.fits: ap = 57, w1 = 5257.204, w2 = 5146.34, dw = -0.06719, nw = 1651 A0V.0031.ec.fits: ap = 58, w1 = 5209.419, w2 = 5099.565, dw = -0.06658, nw = 1651 A0V.0031.ec.fits: ap = 59, w1 = 5162.495, w2 = 5053.633, dw = -0.06598, nw = 1651 A0V.0031.ec.fits: ap = 60, w1 = 5116.409, w2 = 5008.521, dw = -0.06539, nw = 1651 A0V.0031.ec.fits: ap = 61, w1 = 5071.139, w2 = 4964.208, dw = -0.06481, nw = 1651 A0V.0031.ec.fits: ap = 62, w1 = 5026.663, w2 = 4920.672, dw = -0.06424, nw = 1651 A0V.0031.ec.fits: ap = 63, w1 = 4982.961, w2 = 4877.894, dw = -0.06368, nw = 1651 A0V.0031.ec.fits: ap = 64, w1 = 4940.012, w2 = 4835.853, dw = -0.06313, nw = 1651 A0V.0031.ec.fits: ap = 65, w1 = 4897.798, w2 = 4794.531, dw = -0.06259, nw = 1651 A0V.0031.ec.fits: ap = 66, w1 = 4856.299, w2 = 4753.91, dw = -0.06205, nw = 1651 A0V.0031.ec.fits: ap = 67, w1 = 4815.497, w2 = 4713.971, dw = -0.06153, nw = 1651 A0V.0031.ec.fits: ap = 68, w1 = 4775.376, w2 = 4674.699, dw = -0.06102, nw = 1651 A0V.0031.ec.fits: ap = 69, w1 = 4735.918, w2 = 4636.075, dw = -0.06051, nw = 1651 A0V.0031.ec.fits: ap = 70, w1 = 4697.107, w2 = 4598.085, dw = -0.06001, nw = 1651 A0V.0031.ec.fits: ap = 71, w1 = 4658.926, w2 = 4560.713, dw = -0.05952, nw = 1651 A0V.0031.ec.fits: ap = 72, w1 = 4621.362, w2 = 4523.944, dw = -0.05904, nw = 1651 A0V.0031.ec.fits: ap = 73, w1 = 4584.399, w2 = 4487.763, dw = -0.05857, nw = 1651 A0V.0031.ec.fits: ap = 74, w1 = 4548.022, w2 = 4452.156, dw = -0.0581, nw = 1651 A0V.0031.ec.fits: ap = 75, w1 = 4512.219, w2 = 4417.111, dw = -0.05764, nw = 1651 A0V.0031.ec.fits: ap = 76, w1 = 4476.974, w2 = 4382.613, dw = -0.05719, nw = 1651 A0V.0031.ec.fits: ap = 77, w1 = 4442.277, w2 = 4348.651, dw = -0.05674, nw = 1651 A0V.0031.ec.fits: ap = 78, w1 = 4408.113, w2 = 4315.211, dw = -0.0563, nw = 1651 A0V.0031.ec.fits: ap = 79, w1 = 4374.47, w2 = 4282.282, dw = -0.05587, nw = 1651 A0V.0031.ec.fits: ap = 80, w1 = 4341.338, w2 = 4249.852, dw = -0.05545, nw = 1651 A0V.0031.ec.fits: ap = 81, w1 = 4308.703, w2 = 4217.91, dw = -0.05503, nw = 1651 A0V.0031.ec.fits: ap = 82, w1 = 4276.556, w2 = 4186.445, dw = -0.05461, nw = 1651 A0V.0031.ec.fits: ap = 83, w1 = 4244.885, w2 = 4155.446, dw = -0.05421, nw = 1651 A0V.0031.ec.fits: ap = 84, w1 = 4213.68, w2 = 4124.904, dw = -0.0538, nw = 1651 A0V.0031.ec.fits: ap = 85, w1 = 4182.93, w2 = 4094.807, dw = -0.05341, nw = 1651 A0V.0031.ec.fits: ap = 86, w1 = 4152.626, w2 = 4065.147, dw = -0.05302, nw = 1651 A0V.0031.ec.fits: ap = 87, w1 = 4122.758, w2 = 4035.914, dw = -0.05263, nw = 1651 A0V.0031.ec.fits: ap = 88, w1 = 4093.316, w2 = 4007.099, dw = -0.05225, nw = 1651 A0V.0031.ec.fits: ap = 89, w1 = 4064.292, w2 = 3978.693, dw = -0.05188, nw = 1651 A0V.0031.ec.fits: ap = 90, w1 = 4035.677, w2 = 3950.687, dw = -0.05151, nw = 1651 A0V.0031.ec.fits: ap = 91, w1 = 4007.462, w2 = 3923.073, dw = -0.05114, nw = 1651 A0V.0031.ec.fits: ap = 92, w1 = 3979.638, w2 = 3895.843, dw = -0.05078, nw = 1651 A0V.0031.ec.fits: ap = 93, w1 = 3952.199, w2 = 3868.989, dw = -0.05043, nw = 1651 A0V.0031.ec.fits: ap = 94, w1 = 3925.135, w2 = 3842.503, dw = -0.05008, nw = 1651 A0V.0031.ec.fits: ap = 95, w1 = 3898.439, w2 = 3816.378, dw = -0.04973, nw = 1651 A0V.0031.ec.fits: ap = 96, w1 = 3872.104, w2 = 3790.606, dw = -0.04939, nw = 1651 A0V.0031.ec.fits: ap = 97, w1 = 3846.123, w2 = 3765.18, dw = -0.04906, nw = 1651 A0V.0031.ec.fits: ap = 98, w1 = 3820.487, w2 = 3740.094, dw = -0.04872, nw = 1651 A0V.0031.ec.fits: ap = 99, w1 = 3795.191, w2 = 3715.34, dw = -0.04839, nw = 1651 A0V.0031.ec.fits: ap = 100, w1 = 3770.228, w2 = 3690.913, dw = -0.04807, nw = 1651 A0V.0031.ec.fits: ap = 101, w1 = 3745.591, w2 = 3666.805, dw = -0.04775, nw = 1651 A0V.0031.ec.fits: ap = 102, w1 = 3721.274, w2 = 3643.01, dw = -0.04743, nw = 1651 A0V.0031.ec.fits: ap = 103, w1 = 3697.271, w2 = 3619.523, dw = -0.04712, nw = 1651 A0V.0031.ec.fits: ap = 104, w1 = 3673.575, w2 = 3596.337, dw = -0.04681, nw = 1651 A0V.0031.ec.fits: ap = 105, w1 = 3650.181, w2 = 3573.447, dw = -0.04651, nw = 1651 A0V.0031.ec.fits: ap = 106, w1 = 3627.082, w2 = 3550.847, dw = -0.0462, nw = 1651 A0V.0031.ec.fits: ap = 107, w1 = 3604.274, w2 = 3528.532, dw = -0.0459, nw = 1651 A0V.0031.ec.fits: ap = 108, w1 = 3581.751, w2 = 3506.496, dw = -0.04561, nw = 1651 A0V.0031.ec.fits: ap = 109, w1 = 3559.508, w2 = 3484.735, dw = -0.04532, nw = 1651 A0V.0031.ec.fits: ap = 110, w1 = 3537.539, w2 = 3463.242, dw = -0.04503, nw = 1651 A0V.0031.ec.fits: ap = 111, w1 = 3515.84, w2 = 3442.014, dw = -0.04474, nw = 1651 A0V.0031.ec.fits: ap = 112, w1 = 3494.404, w2 = 3421.044, dw = -0.04446, nw = 1651 A0V.0031.ec.fits: ap = 113, w1 = 3473.229, w2 = 3400.33, dw = -0.04418, nw = 1651 A0V.0031.ec.fits: ap = 114, w1 = 3452.308, w2 = 3379.865, dw = -0.0439, nw = 1651 A0V.0031.ec.fits: ap = 115, w1 = 3431.638, w2 = 3359.646, dw = -0.04363, nw = 1651 A0V.0040.ec.fits: REFSPEC1 = 'ThAr.0015.ec 1.' A0V.0040.ec.fits: ap = 1, w1 = 10811.12, w2 = 10583.03, dw = -0.13823, nw = 1651 A0V.0040.ec.fits: ap = 2, w1 = 10610.93, w2 = 10387.06, dw = -0.13568, nw = 1651 A0V.0040.ec.fits: ap = 3, w1 = 10418.03, w2 = 10198.22, dw = -0.13322, nw = 1651 A0V.0040.ec.fits: ap = 4, w1 = 10232.01, w2 = 10016.12, dw = -0.13084, nw = 1651 A0V.0040.ec.fits: ap = 5, w1 = 10052.52, w2 = 9840.416, dw = -0.12855, nw = 1651 A0V.0040.ec.fits: ap = 6, w1 = 9879.219, w2 = 9670.767, dw = -0.12633, nw = 1651 A0V.0040.ec.fits: ap = 7, w1 = 9711.791, w2 = 9506.869, dw = -0.12419, nw = 1651 A0V.0040.ec.fits: ap = 8, w1 = 9549.944, w2 = 9348.435, dw = -0.12213, nw = 1651 A0V.0040.ec.fits: ap = 9, w1 = 9393.403, w2 = 9195.195, dw = -0.12013, nw = 1651 A0V.0040.ec.fits: ap = 10, w1 = 9241.912, w2 = 9046.899, dw = -0.11819, nw = 1651 A0V.0040.ec.fits: ap = 11, w1 = 9095.229, w2 = 8903.31, dw = -0.11631, nw = 1651 A0V.0040.ec.fits: ap = 12, w1 = 8953.13, w2 = 8764.209, dw = -0.1145, nw = 1651 A0V.0040.ec.fits: ap = 13, w1 = 8815.403, w2 = 8629.387, dw = -0.11274, nw = 1651 A0V.0040.ec.fits: ap = 14, w1 = 8681.849, w2 = 8498.652, dw = -0.11103, nw = 1651 A0V.0040.ec.fits: ap = 15, w1 = 8552.282, w2 = 8371.819, dw = -0.10937, nw = 1651 A0V.0040.ec.fits: ap = 16, w1 = 8426.525, w2 = 8248.716, dw = -0.10776, nw = 1651 A0V.0040.ec.fits: ap = 17, w1 = 8304.413, w2 = 8129.182, dw = -0.1062, nw = 1651 A0V.0040.ec.fits: ap = 18, w1 = 8185.79, w2 = 8013.063, dw = -0.10468, nw = 1651 A0V.0040.ec.fits: ap = 19, w1 = 8070.509, w2 = 7900.215, dw = -0.10321, nw = 1651 A0V.0040.ec.fits: ap = 20, w1 = 7958.429, w2 = 7790.501, dw = -0.10177, nw = 1651 A0V.0040.ec.fits: ap = 21, w1 = 7849.42, w2 = 7683.794, dw = -0.10038, nw = 1651 A0V.0040.ec.fits: ap = 22, w1 = 7743.357, w2 = 7579.971, dw = -0.09902, nw = 1651 A0V.0040.ec.fits: ap = 23, w1 = 7640.122, w2 = 7478.916, dw = -0.0977, nw = 1651 A0V.0040.ec.fits: ap = 24, w1 = 7539.604, w2 = 7380.521, dw = -0.09641, nw = 1651 A0V.0040.ec.fits: ap = 25, w1 = 7441.697, w2 = 7284.681, dw = -0.09516, nw = 1651 A0V.0040.ec.fits: ap = 26, w1 = 7346.3, w2 = 7191.299, dw = -0.09394, nw = 1651 A0V.0040.ec.fits: ap = 27, w1 = 7253.318, w2 = 7100.281, dw = -0.09275, nw = 1651 A0V.0040.ec.fits: ap = 28, w1 = 7162.661, w2 = 7011.539, dw = -0.09159, nw = 1651 A0V.0040.ec.fits: ap = 29, w1 = 7074.242, w2 = 6924.988, dw = -0.09046, nw = 1651 A0V.0040.ec.fits: ap = 30, w1 = 6987.98, w2 = 6840.548, dw = -0.08935, nw = 1651 A0V.0040.ec.fits: ap = 31, w1 = 6903.796, w2 = 6758.142, dw = -0.08827, nw = 1651 A0V.0040.ec.fits: ap = 32, w1 = 6821.616, w2 = 6677.699, dw = -0.08722, nw = 1651 A0V.0040.ec.fits: ap = 33, w1 = 6741.371, w2 = 6599.148, dw = -0.0862, nw = 1651 A0V.0040.ec.fits: ap = 34, w1 = 6662.991, w2 = 6522.425, dw = -0.08519, nw = 1651 A0V.0040.ec.fits: ap = 35, w1 = 6586.413, w2 = 6447.465, dw = -0.08421, nw = 1651 A0V.0040.ec.fits: ap = 36, w1 = 6511.576, w2 = 6374.209, dw = -0.08325, nw = 1651 A0V.0040.ec.fits: ap = 37, w1 = 6438.421, w2 = 6302.599, dw = -0.08232, nw = 1651 A0V.0040.ec.fits: ap = 38, w1 = 6366.891, w2 = 6232.58, dw = -0.0814, nw = 1651 A0V.0040.ec.fits: ap = 39, w1 = 6296.933, w2 = 6164.101, dw = -0.0805, nw = 1651 A0V.0040.ec.fits: ap = 40, w1 = 6228.496, w2 = 6097.11, dw = -0.07963, nw = 1651 A0V.0040.ec.fits: ap = 41, w1 = 6161.531, w2 = 6031.56, dw = -0.07877, nw = 1651 A0V.0040.ec.fits: ap = 42, w1 = 6095.991, w2 = 5967.404, dw = -0.07793, nw = 1651 A0V.0040.ec.fits: ap = 43, w1 = 6031.831, w2 = 5904.599, dw = -0.07711, nw = 1651 A0V.0040.ec.fits: ap = 44, w1 = 5969.007, w2 = 5843.103, dw = -0.07631, nw = 1651 A0V.0040.ec.fits: ap = 45, w1 = 5907.479, w2 = 5782.875, dw = -0.07552, nw = 1651 A0V.0040.ec.fits: ap = 46, w1 = 5847.206, w2 = 5723.876, dw = -0.07475, nw = 1651 A0V.0040.ec.fits: ap = 47, w1 = 5788.152, w2 = 5666.069, dw = -0.07399, nw = 1651 A0V.0040.ec.fits: ap = 48, w1 = 5730.278, w2 = 5609.418, dw = -0.07325, nw = 1651 A0V.0040.ec.fits: ap = 49, w1 = 5673.55, w2 = 5553.889, dw = -0.07252, nw = 1651 A0V.0040.ec.fits: ap = 50, w1 = 5617.935, w2 = 5499.449, dw = -0.07181, nw = 1651 A0V.0040.ec.fits: ap = 51, w1 = 5563.4, w2 = 5446.066, dw = -0.07111, nw = 1651 A0V.0040.ec.fits: ap = 52, w1 = 5509.914, w2 = 5393.71, dw = -0.07043, nw = 1651 A0V.0040.ec.fits: ap = 53, w1 = 5457.446, w2 = 5342.351, dw = -0.06975, nw = 1651 A0V.0040.ec.fits: ap = 54, w1 = 5405.969, w2 = 5291.961, dw = -0.0691, nw = 1651 A0V.0040.ec.fits: ap = 55, w1 = 5355.453, w2 = 5242.514, dw = -0.06845, nw = 1651 A0V.0040.ec.fits: ap = 56, w1 = 5305.874, w2 = 5193.982, dw = -0.06781, nw = 1651 A0V.0040.ec.fits: ap = 57, w1 = 5257.204, w2 = 5146.34, dw = -0.06719, nw = 1651 A0V.0040.ec.fits: ap = 58, w1 = 5209.419, w2 = 5099.565, dw = -0.06658, nw = 1651 A0V.0040.ec.fits: ap = 59, w1 = 5162.495, w2 = 5053.633, dw = -0.06598, nw = 1651 A0V.0040.ec.fits: ap = 60, w1 = 5116.409, w2 = 5008.521, dw = -0.06539, nw = 1651 A0V.0040.ec.fits: ap = 61, w1 = 5071.139, w2 = 4964.208, dw = -0.06481, nw = 1651 A0V.0040.ec.fits: ap = 62, w1 = 5026.663, w2 = 4920.672, dw = -0.06424, nw = 1651 A0V.0040.ec.fits: ap = 63, w1 = 4982.961, w2 = 4877.894, dw = -0.06368, nw = 1651 A0V.0040.ec.fits: ap = 64, w1 = 4940.012, w2 = 4835.853, dw = -0.06313, nw = 1651 A0V.0040.ec.fits: ap = 65, w1 = 4897.798, w2 = 4794.531, dw = -0.06259, nw = 1651 A0V.0040.ec.fits: ap = 66, w1 = 4856.299, w2 = 4753.91, dw = -0.06205, nw = 1651 A0V.0040.ec.fits: ap = 67, w1 = 4815.497, w2 = 4713.971, dw = -0.06153, nw = 1651 A0V.0040.ec.fits: ap = 68, w1 = 4775.376, w2 = 4674.699, dw = -0.06102, nw = 1651 A0V.0040.ec.fits: ap = 69, w1 = 4735.918, w2 = 4636.075, dw = -0.06051, nw = 1651 A0V.0040.ec.fits: ap = 70, w1 = 4697.107, w2 = 4598.085, dw = -0.06001, nw = 1651 A0V.0040.ec.fits: ap = 71, w1 = 4658.926, w2 = 4560.713, dw = -0.05952, nw = 1651 A0V.0040.ec.fits: ap = 72, w1 = 4621.362, w2 = 4523.944, dw = -0.05904, nw = 1651 A0V.0040.ec.fits: ap = 73, w1 = 4584.399, w2 = 4487.763, dw = -0.05857, nw = 1651 A0V.0040.ec.fits: ap = 74, w1 = 4548.022, w2 = 4452.156, dw = -0.0581, nw = 1651 A0V.0040.ec.fits: ap = 75, w1 = 4512.219, w2 = 4417.111, dw = -0.05764, nw = 1651 A0V.0040.ec.fits: ap = 76, w1 = 4476.974, w2 = 4382.613, dw = -0.05719, nw = 1651 A0V.0040.ec.fits: ap = 77, w1 = 4442.277, w2 = 4348.651, dw = -0.05674, nw = 1651 A0V.0040.ec.fits: ap = 78, w1 = 4408.113, w2 = 4315.211, dw = -0.0563, nw = 1651 A0V.0040.ec.fits: ap = 79, w1 = 4374.47, w2 = 4282.282, dw = -0.05587, nw = 1651 A0V.0040.ec.fits: ap = 80, w1 = 4341.338, w2 = 4249.852, dw = -0.05545, nw = 1651 A0V.0040.ec.fits: ap = 81, w1 = 4308.703, w2 = 4217.91, dw = -0.05503, nw = 1651 A0V.0040.ec.fits: ap = 82, w1 = 4276.556, w2 = 4186.445, dw = -0.05461, nw = 1651 A0V.0040.ec.fits: ap = 83, w1 = 4244.885, w2 = 4155.446, dw = -0.05421, nw = 1651 A0V.0040.ec.fits: ap = 84, w1 = 4213.68, w2 = 4124.904, dw = -0.0538, nw = 1651 A0V.0040.ec.fits: ap = 85, w1 = 4182.93, w2 = 4094.807, dw = -0.05341, nw = 1651 A0V.0040.ec.fits: ap = 86, w1 = 4152.626, w2 = 4065.147, dw = -0.05302, nw = 1651 A0V.0040.ec.fits: ap = 87, w1 = 4122.758, w2 = 4035.914, dw = -0.05263, nw = 1651 A0V.0040.ec.fits: ap = 88, w1 = 4093.316, w2 = 4007.099, dw = -0.05225, nw = 1651 A0V.0040.ec.fits: ap = 89, w1 = 4064.292, w2 = 3978.693, dw = -0.05188, nw = 1651 A0V.0040.ec.fits: ap = 90, w1 = 4035.677, w2 = 3950.687, dw = -0.05151, nw = 1651 A0V.0040.ec.fits: ap = 91, w1 = 4007.462, w2 = 3923.073, dw = -0.05114, nw = 1651 A0V.0040.ec.fits: ap = 92, w1 = 3979.638, w2 = 3895.843, dw = -0.05078, nw = 1651 A0V.0040.ec.fits: ap = 93, w1 = 3952.199, w2 = 3868.989, dw = -0.05043, nw = 1651 A0V.0040.ec.fits: ap = 94, w1 = 3925.135, w2 = 3842.503, dw = -0.05008, nw = 1651 A0V.0040.ec.fits: ap = 95, w1 = 3898.439, w2 = 3816.378, dw = -0.04973, nw = 1651 A0V.0040.ec.fits: ap = 96, w1 = 3872.104, w2 = 3790.606, dw = -0.04939, nw = 1651 A0V.0040.ec.fits: ap = 97, w1 = 3846.123, w2 = 3765.18, dw = -0.04906, nw = 1651 A0V.0040.ec.fits: ap = 98, w1 = 3820.487, w2 = 3740.094, dw = -0.04872, nw = 1651 A0V.0040.ec.fits: ap = 99, w1 = 3795.191, w2 = 3715.34, dw = -0.04839, nw = 1651 A0V.0040.ec.fits: ap = 100, w1 = 3770.228, w2 = 3690.913, dw = -0.04807, nw = 1651 A0V.0040.ec.fits: ap = 101, w1 = 3745.591, w2 = 3666.805, dw = -0.04775, nw = 1651 A0V.0040.ec.fits: ap = 102, w1 = 3721.274, w2 = 3643.01, dw = -0.04743, nw = 1651 A0V.0040.ec.fits: ap = 103, w1 = 3697.271, w2 = 3619.523, dw = -0.04712, nw = 1651 A0V.0040.ec.fits: ap = 104, w1 = 3673.575, w2 = 3596.337, dw = -0.04681, nw = 1651 A0V.0040.ec.fits: ap = 105, w1 = 3650.181, w2 = 3573.447, dw = -0.04651, nw = 1651 A0V.0040.ec.fits: ap = 106, w1 = 3627.082, w2 = 3550.847, dw = -0.0462, nw = 1651 A0V.0040.ec.fits: ap = 107, w1 = 3604.274, w2 = 3528.532, dw = -0.0459, nw = 1651 A0V.0040.ec.fits: ap = 108, w1 = 3581.751, w2 = 3506.496, dw = -0.04561, nw = 1651 A0V.0040.ec.fits: ap = 109, w1 = 3559.508, w2 = 3484.735, dw = -0.04532, nw = 1651 A0V.0040.ec.fits: ap = 110, w1 = 3537.539, w2 = 3463.242, dw = -0.04503, nw = 1651 A0V.0040.ec.fits: ap = 111, w1 = 3515.84, w2 = 3442.014, dw = -0.04474, nw = 1651 A0V.0040.ec.fits: ap = 112, w1 = 3494.404, w2 = 3421.044, dw = -0.04446, nw = 1651 A0V.0040.ec.fits: ap = 113, w1 = 3473.229, w2 = 3400.33, dw = -0.04418, nw = 1651 A0V.0040.ec.fits: ap = 114, w1 = 3452.308, w2 = 3379.865, dw = -0.0439, nw = 1651 A0V.0040.ec.fits: ap = 115, w1 = 3431.638, w2 = 3359.646, dw = -0.04363, nw = 1651 Venu_day.0032.ec.fits: REFSPEC1 = 'ThAr.0015.ec 1.' Venu_day.0032.ec.fits: ap = 1, w1 = 10811.12, w2 = 10583.03, dw = -0.13823, nw = 1651 Venu_day.0032.ec.fits: ap = 2, w1 = 10610.93, w2 = 10387.06, dw = -0.13568, nw = 1651 Venu_day.0032.ec.fits: ap = 3, w1 = 10418.03, w2 = 10198.22, dw = -0.13322, nw = 1651 Venu_day.0032.ec.fits: ap = 4, w1 = 10232.01, w2 = 10016.12, dw = -0.13084, nw = 1651 Venu_day.0032.ec.fits: ap = 5, w1 = 10052.52, w2 = 9840.416, dw = -0.12855, nw = 1651 Venu_day.0032.ec.fits: ap = 6, w1 = 9879.219, w2 = 9670.767, dw = -0.12633, nw = 1651 Venu_day.0032.ec.fits: ap = 7, w1 = 9711.791, w2 = 9506.869, dw = -0.12419, nw = 1651 Venu_day.0032.ec.fits: ap = 8, w1 = 9549.944, w2 = 9348.435, dw = -0.12213, nw = 1651 Venu_day.0032.ec.fits: ap = 9, w1 = 9393.403, w2 = 9195.195, dw = -0.12013, nw = 1651 Venu_day.0032.ec.fits: ap = 10, w1 = 9241.912, w2 = 9046.899, dw = -0.11819, nw = 1651 Venu_day.0032.ec.fits: ap = 11, w1 = 9095.229, w2 = 8903.31, dw = -0.11631, nw = 1651 Venu_day.0032.ec.fits: ap = 12, w1 = 8953.13, w2 = 8764.209, dw = -0.1145, nw = 1651 Venu_day.0032.ec.fits: ap = 13, w1 = 8815.403, w2 = 8629.387, dw = -0.11274, nw = 1651 Venu_day.0032.ec.fits: ap = 14, w1 = 8681.849, w2 = 8498.652, dw = -0.11103, nw = 1651 Venu_day.0032.ec.fits: ap = 15, w1 = 8552.282, w2 = 8371.819, dw = -0.10937, nw = 1651 Venu_day.0032.ec.fits: ap = 16, w1 = 8426.525, w2 = 8248.716, dw = -0.10776, nw = 1651 Venu_day.0032.ec.fits: ap = 17, w1 = 8304.413, w2 = 8129.182, dw = -0.1062, nw = 1651 Venu_day.0032.ec.fits: ap = 18, w1 = 8185.79, w2 = 8013.063, dw = -0.10468, nw = 1651 Venu_day.0032.ec.fits: ap = 19, w1 = 8070.509, w2 = 7900.215, dw = -0.10321, nw = 1651 Venu_day.0032.ec.fits: ap = 20, w1 = 7958.429, w2 = 7790.501, dw = -0.10177, nw = 1651 Venu_day.0032.ec.fits: ap = 21, w1 = 7849.42, w2 = 7683.794, dw = -0.10038, nw = 1651 Venu_day.0032.ec.fits: ap = 22, w1 = 7743.357, w2 = 7579.971, dw = -0.09902, nw = 1651 Venu_day.0032.ec.fits: ap = 23, w1 = 7640.122, w2 = 7478.916, dw = -0.0977, nw = 1651 Venu_day.0032.ec.fits: ap = 24, w1 = 7539.604, w2 = 7380.521, dw = -0.09641, nw = 1651 Venu_day.0032.ec.fits: ap = 25, w1 = 7441.697, w2 = 7284.681, dw = -0.09516, nw = 1651 Venu_day.0032.ec.fits: ap = 26, w1 = 7346.3, w2 = 7191.299, dw = -0.09394, nw = 1651 Venu_day.0032.ec.fits: ap = 27, w1 = 7253.318, w2 = 7100.281, dw = -0.09275, nw = 1651 Venu_day.0032.ec.fits: ap = 28, w1 = 7162.661, w2 = 7011.539, dw = -0.09159, nw = 1651 Venu_day.0032.ec.fits: ap = 29, w1 = 7074.242, w2 = 6924.988, dw = -0.09046, nw = 1651 Venu_day.0032.ec.fits: ap = 30, w1 = 6987.98, w2 = 6840.548, dw = -0.08935, nw = 1651 Venu_day.0032.ec.fits: ap = 31, w1 = 6903.796, w2 = 6758.142, dw = -0.08827, nw = 1651 Venu_day.0032.ec.fits: ap = 32, w1 = 6821.616, w2 = 6677.699, dw = -0.08722, nw = 1651 Venu_day.0032.ec.fits: ap = 33, w1 = 6741.371, w2 = 6599.148, dw = -0.0862, nw = 1651 Venu_day.0032.ec.fits: ap = 34, w1 = 6662.991, w2 = 6522.425, dw = -0.08519, nw = 1651 Venu_day.0032.ec.fits: ap = 35, w1 = 6586.413, w2 = 6447.465, dw = -0.08421, nw = 1651 Venu_day.0032.ec.fits: ap = 36, w1 = 6511.576, w2 = 6374.209, dw = -0.08325, nw = 1651 Venu_day.0032.ec.fits: ap = 37, w1 = 6438.421, w2 = 6302.599, dw = -0.08232, nw = 1651 Venu_day.0032.ec.fits: ap = 38, w1 = 6366.891, w2 = 6232.58, dw = -0.0814, nw = 1651 Venu_day.0032.ec.fits: ap = 39, w1 = 6296.933, w2 = 6164.101, dw = -0.0805, nw = 1651 Venu_day.0032.ec.fits: ap = 40, w1 = 6228.496, w2 = 6097.11, dw = -0.07963, nw = 1651 Venu_day.0032.ec.fits: ap = 41, w1 = 6161.531, w2 = 6031.56, dw = -0.07877, nw = 1651 Venu_day.0032.ec.fits: ap = 42, w1 = 6095.991, w2 = 5967.404, dw = -0.07793, nw = 1651 Venu_day.0032.ec.fits: ap = 43, w1 = 6031.831, w2 = 5904.599, dw = -0.07711, nw = 1651 Venu_day.0032.ec.fits: ap = 44, w1 = 5969.007, w2 = 5843.103, dw = -0.07631, nw = 1651 Venu_day.0032.ec.fits: ap = 45, w1 = 5907.479, w2 = 5782.875, dw = -0.07552, nw = 1651 Venu_day.0032.ec.fits: ap = 46, w1 = 5847.206, w2 = 5723.876, dw = -0.07475, nw = 1651 Venu_day.0032.ec.fits: ap = 47, w1 = 5788.152, w2 = 5666.069, dw = -0.07399, nw = 1651 Venu_day.0032.ec.fits: ap = 48, w1 = 5730.278, w2 = 5609.418, dw = -0.07325, nw = 1651 Venu_day.0032.ec.fits: ap = 49, w1 = 5673.55, w2 = 5553.889, dw = -0.07252, nw = 1651 Venu_day.0032.ec.fits: ap = 50, w1 = 5617.935, w2 = 5499.449, dw = -0.07181, nw = 1651 Venu_day.0032.ec.fits: ap = 51, w1 = 5563.4, w2 = 5446.066, dw = -0.07111, nw = 1651 Venu_day.0032.ec.fits: ap = 52, w1 = 5509.914, w2 = 5393.71, dw = -0.07043, nw = 1651 Venu_day.0032.ec.fits: ap = 53, w1 = 5457.446, w2 = 5342.351, dw = -0.06975, nw = 1651 Venu_day.0032.ec.fits: ap = 54, w1 = 5405.969, w2 = 5291.961, dw = -0.0691, nw = 1651 Venu_day.0032.ec.fits: ap = 55, w1 = 5355.453, w2 = 5242.514, dw = -0.06845, nw = 1651 Venu_day.0032.ec.fits: ap = 56, w1 = 5305.874, w2 = 5193.982, dw = -0.06781, nw = 1651 Venu_day.0032.ec.fits: ap = 57, w1 = 5257.204, w2 = 5146.34, dw = -0.06719, nw = 1651 Venu_day.0032.ec.fits: ap = 58, w1 = 5209.419, w2 = 5099.565, dw = -0.06658, nw = 1651 Venu_day.0032.ec.fits: ap = 59, w1 = 5162.495, w2 = 5053.633, dw = -0.06598, nw = 1651 Venu_day.0032.ec.fits: ap = 60, w1 = 5116.409, w2 = 5008.521, dw = -0.06539, nw = 1651 Venu_day.0032.ec.fits: ap = 61, w1 = 5071.139, w2 = 4964.208, dw = -0.06481, nw = 1651 Venu_day.0032.ec.fits: ap = 62, w1 = 5026.663, w2 = 4920.672, dw = -0.06424, nw = 1651 Venu_day.0032.ec.fits: ap = 63, w1 = 4982.961, w2 = 4877.894, dw = -0.06368, nw = 1651 Venu_day.0032.ec.fits: ap = 64, w1 = 4940.012, w2 = 4835.853, dw = -0.06313, nw = 1651 Venu_day.0032.ec.fits: ap = 65, w1 = 4897.798, w2 = 4794.531, dw = -0.06259, nw = 1651 Venu_day.0032.ec.fits: ap = 66, w1 = 4856.299, w2 = 4753.91, dw = -0.06205, nw = 1651 Venu_day.0032.ec.fits: ap = 67, w1 = 4815.497, w2 = 4713.971, dw = -0.06153, nw = 1651 Venu_day.0032.ec.fits: ap = 68, w1 = 4775.376, w2 = 4674.699, dw = -0.06102, nw = 1651 Venu_day.0032.ec.fits: ap = 69, w1 = 4735.918, w2 = 4636.075, dw = -0.06051, nw = 1651 Venu_day.0032.ec.fits: ap = 70, w1 = 4697.107, w2 = 4598.085, dw = -0.06001, nw = 1651 Venu_day.0032.ec.fits: ap = 71, w1 = 4658.926, w2 = 4560.713, dw = -0.05952, nw = 1651 Venu_day.0032.ec.fits: ap = 72, w1 = 4621.362, w2 = 4523.944, dw = -0.05904, nw = 1651 Venu_day.0032.ec.fits: ap = 73, w1 = 4584.399, w2 = 4487.763, dw = -0.05857, nw = 1651 Venu_day.0032.ec.fits: ap = 74, w1 = 4548.022, w2 = 4452.156, dw = -0.0581, nw = 1651 Venu_day.0032.ec.fits: ap = 75, w1 = 4512.219, w2 = 4417.111, dw = -0.05764, nw = 1651 Venu_day.0032.ec.fits: ap = 76, w1 = 4476.974, w2 = 4382.613, dw = -0.05719, nw = 1651 Venu_day.0032.ec.fits: ap = 77, w1 = 4442.277, w2 = 4348.651, dw = -0.05674, nw = 1651 Venu_day.0032.ec.fits: ap = 78, w1 = 4408.113, w2 = 4315.211, dw = -0.0563, nw = 1651 Venu_day.0032.ec.fits: ap = 79, w1 = 4374.47, w2 = 4282.282, dw = -0.05587, nw = 1651 Venu_day.0032.ec.fits: ap = 80, w1 = 4341.338, w2 = 4249.852, dw = -0.05545, nw = 1651 Venu_day.0032.ec.fits: ap = 81, w1 = 4308.703, w2 = 4217.91, dw = -0.05503, nw = 1651 Venu_day.0032.ec.fits: ap = 82, w1 = 4276.556, w2 = 4186.445, dw = -0.05461, nw = 1651 Venu_day.0032.ec.fits: ap = 83, w1 = 4244.885, w2 = 4155.446, dw = -0.05421, nw = 1651 Venu_day.0032.ec.fits: ap = 84, w1 = 4213.68, w2 = 4124.904, dw = -0.0538, nw = 1651 Venu_day.0032.ec.fits: ap = 85, w1 = 4182.93, w2 = 4094.807, dw = -0.05341, nw = 1651 Venu_day.0032.ec.fits: ap = 86, w1 = 4152.626, w2 = 4065.147, dw = -0.05302, nw = 1651 Venu_day.0032.ec.fits: ap = 87, w1 = 4122.758, w2 = 4035.914, dw = -0.05263, nw = 1651 Venu_day.0032.ec.fits: ap = 88, w1 = 4093.316, w2 = 4007.099, dw = -0.05225, nw = 1651 Venu_day.0032.ec.fits: ap = 89, w1 = 4064.292, w2 = 3978.693, dw = -0.05188, nw = 1651 Venu_day.0032.ec.fits: ap = 90, w1 = 4035.677, w2 = 3950.687, dw = -0.05151, nw = 1651 Venu_day.0032.ec.fits: ap = 91, w1 = 4007.462, w2 = 3923.073, dw = -0.05114, nw = 1651 Venu_day.0032.ec.fits: ap = 92, w1 = 3979.638, w2 = 3895.843, dw = -0.05078, nw = 1651 Venu_day.0032.ec.fits: ap = 93, w1 = 3952.199, w2 = 3868.989, dw = -0.05043, nw = 1651 Venu_day.0032.ec.fits: ap = 94, w1 = 3925.135, w2 = 3842.503, dw = -0.05008, nw = 1651 Venu_day.0032.ec.fits: ap = 95, w1 = 3898.439, w2 = 3816.378, dw = -0.04973, nw = 1651 Venu_day.0032.ec.fits: ap = 96, w1 = 3872.104, w2 = 3790.606, dw = -0.04939, nw = 1651 Venu_day.0032.ec.fits: ap = 97, w1 = 3846.123, w2 = 3765.18, dw = -0.04906, nw = 1651 Venu_day.0032.ec.fits: ap = 98, w1 = 3820.487, w2 = 3740.094, dw = -0.04872, nw = 1651 Venu_day.0032.ec.fits: ap = 99, w1 = 3795.191, w2 = 3715.34, dw = -0.04839, nw = 1651 Venu_day.0032.ec.fits: ap = 100, w1 = 3770.228, w2 = 3690.913, dw = -0.04807, nw = 1651 Venu_day.0032.ec.fits: ap = 101, w1 = 3745.591, w2 = 3666.805, dw = -0.04775, nw = 1651 Venu_day.0032.ec.fits: ap = 102, w1 = 3721.274, w2 = 3643.01, dw = -0.04743, nw = 1651 Venu_day.0032.ec.fits: ap = 103, w1 = 3697.271, w2 = 3619.523, dw = -0.04712, nw = 1651 Venu_day.0032.ec.fits: ap = 104, w1 = 3673.575, w2 = 3596.337, dw = -0.04681, nw = 1651 Venu_day.0032.ec.fits: ap = 105, w1 = 3650.181, w2 = 3573.447, dw = -0.04651, nw = 1651 Venu_day.0032.ec.fits: ap = 106, w1 = 3627.082, w2 = 3550.847, dw = -0.0462, nw = 1651 Venu_day.0032.ec.fits: ap = 107, w1 = 3604.274, w2 = 3528.532, dw = -0.0459, nw = 1651 Venu_day.0032.ec.fits: ap = 108, w1 = 3581.751, w2 = 3506.496, dw = -0.04561, nw = 1651 Venu_day.0032.ec.fits: ap = 109, w1 = 3559.508, w2 = 3484.735, dw = -0.04532, nw = 1651 Venu_day.0032.ec.fits: ap = 110, w1 = 3537.539, w2 = 3463.242, dw = -0.04503, nw = 1651 Venu_day.0032.ec.fits: ap = 111, w1 = 3515.84, w2 = 3442.014, dw = -0.04474, nw = 1651 Venu_day.0032.ec.fits: ap = 112, w1 = 3494.404, w2 = 3421.044, dw = -0.04446, nw = 1651 Venu_day.0032.ec.fits: ap = 113, w1 = 3473.229, w2 = 3400.33, dw = -0.04418, nw = 1651 Venu_day.0032.ec.fits: ap = 114, w1 = 3452.308, w2 = 3379.865, dw = -0.0439, nw = 1651 Venu_day.0032.ec.fits: ap = 115, w1 = 3431.638, w2 = 3359.646, dw = -0.04363, nw = 1651 Venu_day.0033.ec.fits: REFSPEC1 = 'ThAr.0015.ec 1.' Venu_day.0033.ec.fits: ap = 1, w1 = 10811.12, w2 = 10583.03, dw = -0.13823, nw = 1651 Venu_day.0033.ec.fits: ap = 2, w1 = 10610.93, w2 = 10387.06, dw = -0.13568, nw = 1651 Venu_day.0033.ec.fits: ap = 3, w1 = 10418.03, w2 = 10198.22, dw = -0.13322, nw = 1651 Venu_day.0033.ec.fits: ap = 4, w1 = 10232.01, w2 = 10016.12, dw = -0.13084, nw = 1651 Venu_day.0033.ec.fits: ap = 5, w1 = 10052.52, w2 = 9840.416, dw = -0.12855, nw = 1651 Venu_day.0033.ec.fits: ap = 6, w1 = 9879.219, w2 = 9670.767, dw = -0.12633, nw = 1651 Venu_day.0033.ec.fits: ap = 7, w1 = 9711.791, w2 = 9506.869, dw = -0.12419, nw = 1651 Venu_day.0033.ec.fits: ap = 8, w1 = 9549.944, w2 = 9348.435, dw = -0.12213, nw = 1651 Venu_day.0033.ec.fits: ap = 9, w1 = 9393.403, w2 = 9195.195, dw = -0.12013, nw = 1651 Venu_day.0033.ec.fits: ap = 10, w1 = 9241.912, w2 = 9046.899, dw = -0.11819, nw = 1651 Venu_day.0033.ec.fits: ap = 11, w1 = 9095.229, w2 = 8903.31, dw = -0.11631, nw = 1651 Venu_day.0033.ec.fits: ap = 12, w1 = 8953.13, w2 = 8764.209, dw = -0.1145, nw = 1651 Venu_day.0033.ec.fits: ap = 13, w1 = 8815.403, w2 = 8629.387, dw = -0.11274, nw = 1651 Venu_day.0033.ec.fits: ap = 14, w1 = 8681.849, w2 = 8498.652, dw = -0.11103, nw = 1651 Venu_day.0033.ec.fits: ap = 15, w1 = 8552.282, w2 = 8371.819, dw = -0.10937, nw = 1651 Venu_day.0033.ec.fits: ap = 16, w1 = 8426.525, w2 = 8248.716, dw = -0.10776, nw = 1651 Venu_day.0033.ec.fits: ap = 17, w1 = 8304.413, w2 = 8129.182, dw = -0.1062, nw = 1651 Venu_day.0033.ec.fits: ap = 18, w1 = 8185.79, w2 = 8013.063, dw = -0.10468, nw = 1651 Venu_day.0033.ec.fits: ap = 19, w1 = 8070.509, w2 = 7900.215, dw = -0.10321, nw = 1651 Venu_day.0033.ec.fits: ap = 20, w1 = 7958.429, w2 = 7790.501, dw = -0.10177, nw = 1651 Venu_day.0033.ec.fits: ap = 21, w1 = 7849.42, w2 = 7683.794, dw = -0.10038, nw = 1651 Venu_day.0033.ec.fits: ap = 22, w1 = 7743.357, w2 = 7579.971, dw = -0.09902, nw = 1651 Venu_day.0033.ec.fits: ap = 23, w1 = 7640.122, w2 = 7478.916, dw = -0.0977, nw = 1651 Venu_day.0033.ec.fits: ap = 24, w1 = 7539.604, w2 = 7380.521, dw = -0.09641, nw = 1651 Venu_day.0033.ec.fits: ap = 25, w1 = 7441.697, w2 = 7284.681, dw = -0.09516, nw = 1651 Venu_day.0033.ec.fits: ap = 26, w1 = 7346.3, w2 = 7191.299, dw = -0.09394, nw = 1651 Venu_day.0033.ec.fits: ap = 27, w1 = 7253.318, w2 = 7100.281, dw = -0.09275, nw = 1651 Venu_day.0033.ec.fits: ap = 28, w1 = 7162.661, w2 = 7011.539, dw = -0.09159, nw = 1651 Venu_day.0033.ec.fits: ap = 29, w1 = 7074.242, w2 = 6924.988, dw = -0.09046, nw = 1651 Venu_day.0033.ec.fits: ap = 30, w1 = 6987.98, w2 = 6840.548, dw = -0.08935, nw = 1651 Venu_day.0033.ec.fits: ap = 31, w1 = 6903.796, w2 = 6758.142, dw = -0.08827, nw = 1651 Venu_day.0033.ec.fits: ap = 32, w1 = 6821.616, w2 = 6677.699, dw = -0.08722, nw = 1651 Venu_day.0033.ec.fits: ap = 33, w1 = 6741.371, w2 = 6599.148, dw = -0.0862, nw = 1651 Venu_day.0033.ec.fits: ap = 34, w1 = 6662.991, w2 = 6522.425, dw = -0.08519, nw = 1651 Venu_day.0033.ec.fits: ap = 35, w1 = 6586.413, w2 = 6447.465, dw = -0.08421, nw = 1651 Venu_day.0033.ec.fits: ap = 36, w1 = 6511.576, w2 = 6374.209, dw = -0.08325, nw = 1651 Venu_day.0033.ec.fits: ap = 37, w1 = 6438.421, w2 = 6302.599, dw = -0.08232, nw = 1651 Venu_day.0033.ec.fits: ap = 38, w1 = 6366.891, w2 = 6232.58, dw = -0.0814, nw = 1651 Venu_day.0033.ec.fits: ap = 39, w1 = 6296.933, w2 = 6164.101, dw = -0.0805, nw = 1651 Venu_day.0033.ec.fits: ap = 40, w1 = 6228.496, w2 = 6097.11, dw = -0.07963, nw = 1651 Venu_day.0033.ec.fits: ap = 41, w1 = 6161.531, w2 = 6031.56, dw = -0.07877, nw = 1651 Venu_day.0033.ec.fits: ap = 42, w1 = 6095.991, w2 = 5967.404, dw = -0.07793, nw = 1651 Venu_day.0033.ec.fits: ap = 43, w1 = 6031.831, w2 = 5904.599, dw = -0.07711, nw = 1651 Venu_day.0033.ec.fits: ap = 44, w1 = 5969.007, w2 = 5843.103, dw = -0.07631, nw = 1651 Venu_day.0033.ec.fits: ap = 45, w1 = 5907.479, w2 = 5782.875, dw = -0.07552, nw = 1651 Venu_day.0033.ec.fits: ap = 46, w1 = 5847.206, w2 = 5723.876, dw = -0.07475, nw = 1651 Venu_day.0033.ec.fits: ap = 47, w1 = 5788.152, w2 = 5666.069, dw = -0.07399, nw = 1651 Venu_day.0033.ec.fits: ap = 48, w1 = 5730.278, w2 = 5609.418, dw = -0.07325, nw = 1651 Venu_day.0033.ec.fits: ap = 49, w1 = 5673.55, w2 = 5553.889, dw = -0.07252, nw = 1651 Venu_day.0033.ec.fits: ap = 50, w1 = 5617.935, w2 = 5499.449, dw = -0.07181, nw = 1651 Venu_day.0033.ec.fits: ap = 51, w1 = 5563.4, w2 = 5446.066, dw = -0.07111, nw = 1651 Venu_day.0033.ec.fits: ap = 52, w1 = 5509.914, w2 = 5393.71, dw = -0.07043, nw = 1651 Venu_day.0033.ec.fits: ap = 53, w1 = 5457.446, w2 = 5342.351, dw = -0.06975, nw = 1651 Venu_day.0033.ec.fits: ap = 54, w1 = 5405.969, w2 = 5291.961, dw = -0.0691, nw = 1651 Venu_day.0033.ec.fits: ap = 55, w1 = 5355.453, w2 = 5242.514, dw = -0.06845, nw = 1651 Venu_day.0033.ec.fits: ap = 56, w1 = 5305.874, w2 = 5193.982, dw = -0.06781, nw = 1651 Venu_day.0033.ec.fits: ap = 57, w1 = 5257.204, w2 = 5146.34, dw = -0.06719, nw = 1651 Venu_day.0033.ec.fits: ap = 58, w1 = 5209.419, w2 = 5099.565, dw = -0.06658, nw = 1651 Venu_day.0033.ec.fits: ap = 59, w1 = 5162.495, w2 = 5053.633, dw = -0.06598, nw = 1651 Venu_day.0033.ec.fits: ap = 60, w1 = 5116.409, w2 = 5008.521, dw = -0.06539, nw = 1651 Venu_day.0033.ec.fits: ap = 61, w1 = 5071.139, w2 = 4964.208, dw = -0.06481, nw = 1651 Venu_day.0033.ec.fits: ap = 62, w1 = 5026.663, w2 = 4920.672, dw = -0.06424, nw = 1651 Venu_day.0033.ec.fits: ap = 63, w1 = 4982.961, w2 = 4877.894, dw = -0.06368, nw = 1651 Venu_day.0033.ec.fits: ap = 64, w1 = 4940.012, w2 = 4835.853, dw = -0.06313, nw = 1651 Venu_day.0033.ec.fits: ap = 65, w1 = 4897.798, w2 = 4794.531, dw = -0.06259, nw = 1651 Venu_day.0033.ec.fits: ap = 66, w1 = 4856.299, w2 = 4753.91, dw = -0.06205, nw = 1651 Venu_day.0033.ec.fits: ap = 67, w1 = 4815.497, w2 = 4713.971, dw = -0.06153, nw = 1651 Venu_day.0033.ec.fits: ap = 68, w1 = 4775.376, w2 = 4674.699, dw = -0.06102, nw = 1651 Venu_day.0033.ec.fits: ap = 69, w1 = 4735.918, w2 = 4636.075, dw = -0.06051, nw = 1651 Venu_day.0033.ec.fits: ap = 70, w1 = 4697.107, w2 = 4598.085, dw = -0.06001, nw = 1651 Venu_day.0033.ec.fits: ap = 71, w1 = 4658.926, w2 = 4560.713, dw = -0.05952, nw = 1651 Venu_day.0033.ec.fits: ap = 72, w1 = 4621.362, w2 = 4523.944, dw = -0.05904, nw = 1651 Venu_day.0033.ec.fits: ap = 73, w1 = 4584.399, w2 = 4487.763, dw = -0.05857, nw = 1651 Venu_day.0033.ec.fits: ap = 74, w1 = 4548.022, w2 = 4452.156, dw = -0.0581, nw = 1651 Venu_day.0033.ec.fits: ap = 75, w1 = 4512.219, w2 = 4417.111, dw = -0.05764, nw = 1651 Venu_day.0033.ec.fits: ap = 76, w1 = 4476.974, w2 = 4382.613, dw = -0.05719, nw = 1651 Venu_day.0033.ec.fits: ap = 77, w1 = 4442.277, w2 = 4348.651, dw = -0.05674, nw = 1651 Venu_day.0033.ec.fits: ap = 78, w1 = 4408.113, w2 = 4315.211, dw = -0.0563, nw = 1651 Venu_day.0033.ec.fits: ap = 79, w1 = 4374.47, w2 = 4282.282, dw = -0.05587, nw = 1651 Venu_day.0033.ec.fits: ap = 80, w1 = 4341.338, w2 = 4249.852, dw = -0.05545, nw = 1651 Venu_day.0033.ec.fits: ap = 81, w1 = 4308.703, w2 = 4217.91, dw = -0.05503, nw = 1651 Venu_day.0033.ec.fits: ap = 82, w1 = 4276.556, w2 = 4186.445, dw = -0.05461, nw = 1651 Venu_day.0033.ec.fits: ap = 83, w1 = 4244.885, w2 = 4155.446, dw = -0.05421, nw = 1651 Venu_day.0033.ec.fits: ap = 84, w1 = 4213.68, w2 = 4124.904, dw = -0.0538, nw = 1651 Venu_day.0033.ec.fits: ap = 85, w1 = 4182.93, w2 = 4094.807, dw = -0.05341, nw = 1651 Venu_day.0033.ec.fits: ap = 86, w1 = 4152.626, w2 = 4065.147, dw = -0.05302, nw = 1651 Venu_day.0033.ec.fits: ap = 87, w1 = 4122.758, w2 = 4035.914, dw = -0.05263, nw = 1651 Venu_day.0033.ec.fits: ap = 88, w1 = 4093.316, w2 = 4007.099, dw = -0.05225, nw = 1651 Venu_day.0033.ec.fits: ap = 89, w1 = 4064.292, w2 = 3978.693, dw = -0.05188, nw = 1651 Venu_day.0033.ec.fits: ap = 90, w1 = 4035.677, w2 = 3950.687, dw = -0.05151, nw = 1651 Venu_day.0033.ec.fits: ap = 91, w1 = 4007.462, w2 = 3923.073, dw = -0.05114, nw = 1651 Venu_day.0033.ec.fits: ap = 92, w1 = 3979.638, w2 = 3895.843, dw = -0.05078, nw = 1651 Venu_day.0033.ec.fits: ap = 93, w1 = 3952.199, w2 = 3868.989, dw = -0.05043, nw = 1651 Venu_day.0033.ec.fits: ap = 94, w1 = 3925.135, w2 = 3842.503, dw = -0.05008, nw = 1651 Venu_day.0033.ec.fits: ap = 95, w1 = 3898.439, w2 = 3816.378, dw = -0.04973, nw = 1651 Venu_day.0033.ec.fits: ap = 96, w1 = 3872.104, w2 = 3790.606, dw = -0.04939, nw = 1651 Venu_day.0033.ec.fits: ap = 97, w1 = 3846.123, w2 = 3765.18, dw = -0.04906, nw = 1651 Venu_day.0033.ec.fits: ap = 98, w1 = 3820.487, w2 = 3740.094, dw = -0.04872, nw = 1651 Venu_day.0033.ec.fits: ap = 99, w1 = 3795.191, w2 = 3715.34, dw = -0.04839, nw = 1651 Venu_day.0033.ec.fits: ap = 100, w1 = 3770.228, w2 = 3690.913, dw = -0.04807, nw = 1651 Venu_day.0033.ec.fits: ap = 101, w1 = 3745.591, w2 = 3666.805, dw = -0.04775, nw = 1651 Venu_day.0033.ec.fits: ap = 102, w1 = 3721.274, w2 = 3643.01, dw = -0.04743, nw = 1651 Venu_day.0033.ec.fits: ap = 103, w1 = 3697.271, w2 = 3619.523, dw = -0.04712, nw = 1651 Venu_day.0033.ec.fits: ap = 104, w1 = 3673.575, w2 = 3596.337, dw = -0.04681, nw = 1651 Venu_day.0033.ec.fits: ap = 105, w1 = 3650.181, w2 = 3573.447, dw = -0.04651, nw = 1651 Venu_day.0033.ec.fits: ap = 106, w1 = 3627.082, w2 = 3550.847, dw = -0.0462, nw = 1651 Venu_day.0033.ec.fits: ap = 107, w1 = 3604.274, w2 = 3528.532, dw = -0.0459, nw = 1651 Venu_day.0033.ec.fits: ap = 108, w1 = 3581.751, w2 = 3506.496, dw = -0.04561, nw = 1651 Venu_day.0033.ec.fits: ap = 109, w1 = 3559.508, w2 = 3484.735, dw = -0.04532, nw = 1651 Venu_day.0033.ec.fits: ap = 110, w1 = 3537.539, w2 = 3463.242, dw = -0.04503, nw = 1651 Venu_day.0033.ec.fits: ap = 111, w1 = 3515.84, w2 = 3442.014, dw = -0.04474, nw = 1651 Venu_day.0033.ec.fits: ap = 112, w1 = 3494.404, w2 = 3421.044, dw = -0.04446, nw = 1651 Venu_day.0033.ec.fits: ap = 113, w1 = 3473.229, w2 = 3400.33, dw = -0.04418, nw = 1651 Venu_day.0033.ec.fits: ap = 114, w1 = 3452.308, w2 = 3379.865, dw = -0.0439, nw = 1651 Venu_day.0033.ec.fits: ap = 115, w1 = 3431.638, w2 = 3359.646, dw = -0.04363, nw = 1651 Venu_day.0034.ec.fits: REFSPEC1 = 'ThAr.0015.ec 1.' Venu_day.0034.ec.fits: ap = 1, w1 = 10811.12, w2 = 10583.03, dw = -0.13823, nw = 1651 Venu_day.0034.ec.fits: ap = 2, w1 = 10610.93, w2 = 10387.06, dw = -0.13568, nw = 1651 Venu_day.0034.ec.fits: ap = 3, w1 = 10418.03, w2 = 10198.22, dw = -0.13322, nw = 1651 Venu_day.0034.ec.fits: ap = 4, w1 = 10232.01, w2 = 10016.12, dw = -0.13084, nw = 1651 Venu_day.0034.ec.fits: ap = 5, w1 = 10052.52, w2 = 9840.416, dw = -0.12855, nw = 1651 Venu_day.0034.ec.fits: ap = 6, w1 = 9879.219, w2 = 9670.767, dw = -0.12633, nw = 1651 Venu_day.0034.ec.fits: ap = 7, w1 = 9711.791, w2 = 9506.869, dw = -0.12419, nw = 1651 Venu_day.0034.ec.fits: ap = 8, w1 = 9549.944, w2 = 9348.435, dw = -0.12213, nw = 1651 Venu_day.0034.ec.fits: ap = 9, w1 = 9393.403, w2 = 9195.195, dw = -0.12013, nw = 1651 Venu_day.0034.ec.fits: ap = 10, w1 = 9241.912, w2 = 9046.899, dw = -0.11819, nw = 1651 Venu_day.0034.ec.fits: ap = 11, w1 = 9095.229, w2 = 8903.31, dw = -0.11631, nw = 1651 Venu_day.0034.ec.fits: ap = 12, w1 = 8953.13, w2 = 8764.209, dw = -0.1145, nw = 1651 Venu_day.0034.ec.fits: ap = 13, w1 = 8815.403, w2 = 8629.387, dw = -0.11274, nw = 1651 Venu_day.0034.ec.fits: ap = 14, w1 = 8681.849, w2 = 8498.652, dw = -0.11103, nw = 1651 Venu_day.0034.ec.fits: ap = 15, w1 = 8552.282, w2 = 8371.819, dw = -0.10937, nw = 1651 Venu_day.0034.ec.fits: ap = 16, w1 = 8426.525, w2 = 8248.716, dw = -0.10776, nw = 1651 Venu_day.0034.ec.fits: ap = 17, w1 = 8304.413, w2 = 8129.182, dw = -0.1062, nw = 1651 Venu_day.0034.ec.fits: ap = 18, w1 = 8185.79, w2 = 8013.063, dw = -0.10468, nw = 1651 Venu_day.0034.ec.fits: ap = 19, w1 = 8070.509, w2 = 7900.215, dw = -0.10321, nw = 1651 Venu_day.0034.ec.fits: ap = 20, w1 = 7958.429, w2 = 7790.501, dw = -0.10177, nw = 1651 Venu_day.0034.ec.fits: ap = 21, w1 = 7849.42, w2 = 7683.794, dw = -0.10038, nw = 1651 Venu_day.0034.ec.fits: ap = 22, w1 = 7743.357, w2 = 7579.971, dw = -0.09902, nw = 1651 Venu_day.0034.ec.fits: ap = 23, w1 = 7640.122, w2 = 7478.916, dw = -0.0977, nw = 1651 Venu_day.0034.ec.fits: ap = 24, w1 = 7539.604, w2 = 7380.521, dw = -0.09641, nw = 1651 Venu_day.0034.ec.fits: ap = 25, w1 = 7441.697, w2 = 7284.681, dw = -0.09516, nw = 1651 Venu_day.0034.ec.fits: ap = 26, w1 = 7346.3, w2 = 7191.299, dw = -0.09394, nw = 1651 Venu_day.0034.ec.fits: ap = 27, w1 = 7253.318, w2 = 7100.281, dw = -0.09275, nw = 1651 Venu_day.0034.ec.fits: ap = 28, w1 = 7162.661, w2 = 7011.539, dw = -0.09159, nw = 1651 Venu_day.0034.ec.fits: ap = 29, w1 = 7074.242, w2 = 6924.988, dw = -0.09046, nw = 1651 Venu_day.0034.ec.fits: ap = 30, w1 = 6987.98, w2 = 6840.548, dw = -0.08935, nw = 1651 Venu_day.0034.ec.fits: ap = 31, w1 = 6903.796, w2 = 6758.142, dw = -0.08827, nw = 1651 Venu_day.0034.ec.fits: ap = 32, w1 = 6821.616, w2 = 6677.699, dw = -0.08722, nw = 1651 Venu_day.0034.ec.fits: ap = 33, w1 = 6741.371, w2 = 6599.148, dw = -0.0862, nw = 1651 Venu_day.0034.ec.fits: ap = 34, w1 = 6662.991, w2 = 6522.425, dw = -0.08519, nw = 1651 Venu_day.0034.ec.fits: ap = 35, w1 = 6586.413, w2 = 6447.465, dw = -0.08421, nw = 1651 Venu_day.0034.ec.fits: ap = 36, w1 = 6511.576, w2 = 6374.209, dw = -0.08325, nw = 1651 Venu_day.0034.ec.fits: ap = 37, w1 = 6438.421, w2 = 6302.599, dw = -0.08232, nw = 1651 Venu_day.0034.ec.fits: ap = 38, w1 = 6366.891, w2 = 6232.58, dw = -0.0814, nw = 1651 Venu_day.0034.ec.fits: ap = 39, w1 = 6296.933, w2 = 6164.101, dw = -0.0805, nw = 1651 Venu_day.0034.ec.fits: ap = 40, w1 = 6228.496, w2 = 6097.11, dw = -0.07963, nw = 1651 Venu_day.0034.ec.fits: ap = 41, w1 = 6161.531, w2 = 6031.56, dw = -0.07877, nw = 1651 Venu_day.0034.ec.fits: ap = 42, w1 = 6095.991, w2 = 5967.404, dw = -0.07793, nw = 1651 Venu_day.0034.ec.fits: ap = 43, w1 = 6031.831, w2 = 5904.599, dw = -0.07711, nw = 1651 Venu_day.0034.ec.fits: ap = 44, w1 = 5969.007, w2 = 5843.103, dw = -0.07631, nw = 1651 Venu_day.0034.ec.fits: ap = 45, w1 = 5907.479, w2 = 5782.875, dw = -0.07552, nw = 1651 Venu_day.0034.ec.fits: ap = 46, w1 = 5847.206, w2 = 5723.876, dw = -0.07475, nw = 1651 Venu_day.0034.ec.fits: ap = 47, w1 = 5788.152, w2 = 5666.069, dw = -0.07399, nw = 1651 Venu_day.0034.ec.fits: ap = 48, w1 = 5730.278, w2 = 5609.418, dw = -0.07325, nw = 1651 Venu_day.0034.ec.fits: ap = 49, w1 = 5673.55, w2 = 5553.889, dw = -0.07252, nw = 1651 Venu_day.0034.ec.fits: ap = 50, w1 = 5617.935, w2 = 5499.449, dw = -0.07181, nw = 1651 Venu_day.0034.ec.fits: ap = 51, w1 = 5563.4, w2 = 5446.066, dw = -0.07111, nw = 1651 Venu_day.0034.ec.fits: ap = 52, w1 = 5509.914, w2 = 5393.71, dw = -0.07043, nw = 1651 Venu_day.0034.ec.fits: ap = 53, w1 = 5457.446, w2 = 5342.351, dw = -0.06975, nw = 1651 Venu_day.0034.ec.fits: ap = 54, w1 = 5405.969, w2 = 5291.961, dw = -0.0691, nw = 1651 Venu_day.0034.ec.fits: ap = 55, w1 = 5355.453, w2 = 5242.514, dw = -0.06845, nw = 1651 Venu_day.0034.ec.fits: ap = 56, w1 = 5305.874, w2 = 5193.982, dw = -0.06781, nw = 1651 Venu_day.0034.ec.fits: ap = 57, w1 = 5257.204, w2 = 5146.34, dw = -0.06719, nw = 1651 Venu_day.0034.ec.fits: ap = 58, w1 = 5209.419, w2 = 5099.565, dw = -0.06658, nw = 1651 Venu_day.0034.ec.fits: ap = 59, w1 = 5162.495, w2 = 5053.633, dw = -0.06598, nw = 1651 Venu_day.0034.ec.fits: ap = 60, w1 = 5116.409, w2 = 5008.521, dw = -0.06539, nw = 1651 Venu_day.0034.ec.fits: ap = 61, w1 = 5071.139, w2 = 4964.208, dw = -0.06481, nw = 1651 Venu_day.0034.ec.fits: ap = 62, w1 = 5026.663, w2 = 4920.672, dw = -0.06424, nw = 1651 Venu_day.0034.ec.fits: ap = 63, w1 = 4982.961, w2 = 4877.894, dw = -0.06368, nw = 1651 Venu_day.0034.ec.fits: ap = 64, w1 = 4940.012, w2 = 4835.853, dw = -0.06313, nw = 1651 Venu_day.0034.ec.fits: ap = 65, w1 = 4897.798, w2 = 4794.531, dw = -0.06259, nw = 1651 Venu_day.0034.ec.fits: ap = 66, w1 = 4856.299, w2 = 4753.91, dw = -0.06205, nw = 1651 Venu_day.0034.ec.fits: ap = 67, w1 = 4815.497, w2 = 4713.971, dw = -0.06153, nw = 1651 Venu_day.0034.ec.fits: ap = 68, w1 = 4775.376, w2 = 4674.699, dw = -0.06102, nw = 1651 Venu_day.0034.ec.fits: ap = 69, w1 = 4735.918, w2 = 4636.075, dw = -0.06051, nw = 1651 Venu_day.0034.ec.fits: ap = 70, w1 = 4697.107, w2 = 4598.085, dw = -0.06001, nw = 1651 Venu_day.0034.ec.fits: ap = 71, w1 = 4658.926, w2 = 4560.713, dw = -0.05952, nw = 1651 Venu_day.0034.ec.fits: ap = 72, w1 = 4621.362, w2 = 4523.944, dw = -0.05904, nw = 1651 Venu_day.0034.ec.fits: ap = 73, w1 = 4584.399, w2 = 4487.763, dw = -0.05857, nw = 1651 Venu_day.0034.ec.fits: ap = 74, w1 = 4548.022, w2 = 4452.156, dw = -0.0581, nw = 1651 Venu_day.0034.ec.fits: ap = 75, w1 = 4512.219, w2 = 4417.111, dw = -0.05764, nw = 1651 Venu_day.0034.ec.fits: ap = 76, w1 = 4476.974, w2 = 4382.613, dw = -0.05719, nw = 1651 Venu_day.0034.ec.fits: ap = 77, w1 = 4442.277, w2 = 4348.651, dw = -0.05674, nw = 1651 Venu_day.0034.ec.fits: ap = 78, w1 = 4408.113, w2 = 4315.211, dw = -0.0563, nw = 1651 Venu_day.0034.ec.fits: ap = 79, w1 = 4374.47, w2 = 4282.282, dw = -0.05587, nw = 1651 Venu_day.0034.ec.fits: ap = 80, w1 = 4341.338, w2 = 4249.852, dw = -0.05545, nw = 1651 Venu_day.0034.ec.fits: ap = 81, w1 = 4308.703, w2 = 4217.91, dw = -0.05503, nw = 1651 Venu_day.0034.ec.fits: ap = 82, w1 = 4276.556, w2 = 4186.445, dw = -0.05461, nw = 1651 Venu_day.0034.ec.fits: ap = 83, w1 = 4244.885, w2 = 4155.446, dw = -0.05421, nw = 1651 Venu_day.0034.ec.fits: ap = 84, w1 = 4213.68, w2 = 4124.904, dw = -0.0538, nw = 1651 Venu_day.0034.ec.fits: ap = 85, w1 = 4182.93, w2 = 4094.807, dw = -0.05341, nw = 1651 Venu_day.0034.ec.fits: ap = 86, w1 = 4152.626, w2 = 4065.147, dw = -0.05302, nw = 1651 Venu_day.0034.ec.fits: ap = 87, w1 = 4122.758, w2 = 4035.914, dw = -0.05263, nw = 1651 Venu_day.0034.ec.fits: ap = 88, w1 = 4093.316, w2 = 4007.099, dw = -0.05225, nw = 1651 Venu_day.0034.ec.fits: ap = 89, w1 = 4064.292, w2 = 3978.693, dw = -0.05188, nw = 1651 Venu_day.0034.ec.fits: ap = 90, w1 = 4035.677, w2 = 3950.687, dw = -0.05151, nw = 1651 Venu_day.0034.ec.fits: ap = 91, w1 = 4007.462, w2 = 3923.073, dw = -0.05114, nw = 1651 Venu_day.0034.ec.fits: ap = 92, w1 = 3979.638, w2 = 3895.843, dw = -0.05078, nw = 1651 Venu_day.0034.ec.fits: ap = 93, w1 = 3952.199, w2 = 3868.989, dw = -0.05043, nw = 1651 Venu_day.0034.ec.fits: ap = 94, w1 = 3925.135, w2 = 3842.503, dw = -0.05008, nw = 1651 Venu_day.0034.ec.fits: ap = 95, w1 = 3898.439, w2 = 3816.378, dw = -0.04973, nw = 1651 Venu_day.0034.ec.fits: ap = 96, w1 = 3872.104, w2 = 3790.606, dw = -0.04939, nw = 1651 Venu_day.0034.ec.fits: ap = 97, w1 = 3846.123, w2 = 3765.18, dw = -0.04906, nw = 1651 Venu_day.0034.ec.fits: ap = 98, w1 = 3820.487, w2 = 3740.094, dw = -0.04872, nw = 1651 Venu_day.0034.ec.fits: ap = 99, w1 = 3795.191, w2 = 3715.34, dw = -0.04839, nw = 1651 Venu_day.0034.ec.fits: ap = 100, w1 = 3770.228, w2 = 3690.913, dw = -0.04807, nw = 1651 Venu_day.0034.ec.fits: ap = 101, w1 = 3745.591, w2 = 3666.805, dw = -0.04775, nw = 1651 Venu_day.0034.ec.fits: ap = 102, w1 = 3721.274, w2 = 3643.01, dw = -0.04743, nw = 1651 Venu_day.0034.ec.fits: ap = 103, w1 = 3697.271, w2 = 3619.523, dw = -0.04712, nw = 1651 Venu_day.0034.ec.fits: ap = 104, w1 = 3673.575, w2 = 3596.337, dw = -0.04681, nw = 1651 Venu_day.0034.ec.fits: ap = 105, w1 = 3650.181, w2 = 3573.447, dw = -0.04651, nw = 1651 Venu_day.0034.ec.fits: ap = 106, w1 = 3627.082, w2 = 3550.847, dw = -0.0462, nw = 1651 Venu_day.0034.ec.fits: ap = 107, w1 = 3604.274, w2 = 3528.532, dw = -0.0459, nw = 1651 Venu_day.0034.ec.fits: ap = 108, w1 = 3581.751, w2 = 3506.496, dw = -0.04561, nw = 1651 Venu_day.0034.ec.fits: ap = 109, w1 = 3559.508, w2 = 3484.735, dw = -0.04532, nw = 1651 Venu_day.0034.ec.fits: ap = 110, w1 = 3537.539, w2 = 3463.242, dw = -0.04503, nw = 1651 Venu_day.0034.ec.fits: ap = 111, w1 = 3515.84, w2 = 3442.014, dw = -0.04474, nw = 1651 Venu_day.0034.ec.fits: ap = 112, w1 = 3494.404, w2 = 3421.044, dw = -0.04446, nw = 1651 Venu_day.0034.ec.fits: ap = 113, w1 = 3473.229, w2 = 3400.33, dw = -0.04418, nw = 1651 Venu_day.0034.ec.fits: ap = 114, w1 = 3452.308, w2 = 3379.865, dw = -0.0439, nw = 1651 Venu_day.0034.ec.fits: ap = 115, w1 = 3431.638, w2 = 3359.646, dw = -0.04363, nw = 1651 Venu_day.0036.ec.fits: REFSPEC1 = 'ThAr.0015.ec 1.' Venu_day.0036.ec.fits: ap = 1, w1 = 10811.12, w2 = 10583.03, dw = -0.13823, nw = 1651 Venu_day.0036.ec.fits: ap = 2, w1 = 10610.93, w2 = 10387.06, dw = -0.13568, nw = 1651 Venu_day.0036.ec.fits: ap = 3, w1 = 10418.03, w2 = 10198.22, dw = -0.13322, nw = 1651 Venu_day.0036.ec.fits: ap = 4, w1 = 10232.01, w2 = 10016.12, dw = -0.13084, nw = 1651 Venu_day.0036.ec.fits: ap = 5, w1 = 10052.52, w2 = 9840.416, dw = -0.12855, nw = 1651 Venu_day.0036.ec.fits: ap = 6, w1 = 9879.219, w2 = 9670.767, dw = -0.12633, nw = 1651 Venu_day.0036.ec.fits: ap = 7, w1 = 9711.791, w2 = 9506.869, dw = -0.12419, nw = 1651 Venu_day.0036.ec.fits: ap = 8, w1 = 9549.944, w2 = 9348.435, dw = -0.12213, nw = 1651 Venu_day.0036.ec.fits: ap = 9, w1 = 9393.403, w2 = 9195.195, dw = -0.12013, nw = 1651 Venu_day.0036.ec.fits: ap = 10, w1 = 9241.912, w2 = 9046.899, dw = -0.11819, nw = 1651 Venu_day.0036.ec.fits: ap = 11, w1 = 9095.229, w2 = 8903.31, dw = -0.11631, nw = 1651 Venu_day.0036.ec.fits: ap = 12, w1 = 8953.13, w2 = 8764.209, dw = -0.1145, nw = 1651 Venu_day.0036.ec.fits: ap = 13, w1 = 8815.403, w2 = 8629.387, dw = -0.11274, nw = 1651 Venu_day.0036.ec.fits: ap = 14, w1 = 8681.849, w2 = 8498.652, dw = -0.11103, nw = 1651 Venu_day.0036.ec.fits: ap = 15, w1 = 8552.282, w2 = 8371.819, dw = -0.10937, nw = 1651 Venu_day.0036.ec.fits: ap = 16, w1 = 8426.525, w2 = 8248.716, dw = -0.10776, nw = 1651 Venu_day.0036.ec.fits: ap = 17, w1 = 8304.413, w2 = 8129.182, dw = -0.1062, nw = 1651 Venu_day.0036.ec.fits: ap = 18, w1 = 8185.79, w2 = 8013.063, dw = -0.10468, nw = 1651 Venu_day.0036.ec.fits: ap = 19, w1 = 8070.509, w2 = 7900.215, dw = -0.10321, nw = 1651 Venu_day.0036.ec.fits: ap = 20, w1 = 7958.429, w2 = 7790.501, dw = -0.10177, nw = 1651 Venu_day.0036.ec.fits: ap = 21, w1 = 7849.42, w2 = 7683.794, dw = -0.10038, nw = 1651 Venu_day.0036.ec.fits: ap = 22, w1 = 7743.357, w2 = 7579.971, dw = -0.09902, nw = 1651 Venu_day.0036.ec.fits: ap = 23, w1 = 7640.122, w2 = 7478.916, dw = -0.0977, nw = 1651 Venu_day.0036.ec.fits: ap = 24, w1 = 7539.604, w2 = 7380.521, dw = -0.09641, nw = 1651 Venu_day.0036.ec.fits: ap = 25, w1 = 7441.697, w2 = 7284.681, dw = -0.09516, nw = 1651 Venu_day.0036.ec.fits: ap = 26, w1 = 7346.3, w2 = 7191.299, dw = -0.09394, nw = 1651 Venu_day.0036.ec.fits: ap = 27, w1 = 7253.318, w2 = 7100.281, dw = -0.09275, nw = 1651 Venu_day.0036.ec.fits: ap = 28, w1 = 7162.661, w2 = 7011.539, dw = -0.09159, nw = 1651 Venu_day.0036.ec.fits: ap = 29, w1 = 7074.242, w2 = 6924.988, dw = -0.09046, nw = 1651 Venu_day.0036.ec.fits: ap = 30, w1 = 6987.98, w2 = 6840.548, dw = -0.08935, nw = 1651 Venu_day.0036.ec.fits: ap = 31, w1 = 6903.796, w2 = 6758.142, dw = -0.08827, nw = 1651 Venu_day.0036.ec.fits: ap = 32, w1 = 6821.616, w2 = 6677.699, dw = -0.08722, nw = 1651 Venu_day.0036.ec.fits: ap = 33, w1 = 6741.371, w2 = 6599.148, dw = -0.0862, nw = 1651 Venu_day.0036.ec.fits: ap = 34, w1 = 6662.991, w2 = 6522.425, dw = -0.08519, nw = 1651 Venu_day.0036.ec.fits: ap = 35, w1 = 6586.413, w2 = 6447.465, dw = -0.08421, nw = 1651 Venu_day.0036.ec.fits: ap = 36, w1 = 6511.576, w2 = 6374.209, dw = -0.08325, nw = 1651 Venu_day.0036.ec.fits: ap = 37, w1 = 6438.421, w2 = 6302.599, dw = -0.08232, nw = 1651 Venu_day.0036.ec.fits: ap = 38, w1 = 6366.891, w2 = 6232.58, dw = -0.0814, nw = 1651 Venu_day.0036.ec.fits: ap = 39, w1 = 6296.933, w2 = 6164.101, dw = -0.0805, nw = 1651 Venu_day.0036.ec.fits: ap = 40, w1 = 6228.496, w2 = 6097.11, dw = -0.07963, nw = 1651 Venu_day.0036.ec.fits: ap = 41, w1 = 6161.531, w2 = 6031.56, dw = -0.07877, nw = 1651 Venu_day.0036.ec.fits: ap = 42, w1 = 6095.991, w2 = 5967.404, dw = -0.07793, nw = 1651 Venu_day.0036.ec.fits: ap = 43, w1 = 6031.831, w2 = 5904.599, dw = -0.07711, nw = 1651 Venu_day.0036.ec.fits: ap = 44, w1 = 5969.007, w2 = 5843.103, dw = -0.07631, nw = 1651 Venu_day.0036.ec.fits: ap = 45, w1 = 5907.479, w2 = 5782.875, dw = -0.07552, nw = 1651 Venu_day.0036.ec.fits: ap = 46, w1 = 5847.206, w2 = 5723.876, dw = -0.07475, nw = 1651 Venu_day.0036.ec.fits: ap = 47, w1 = 5788.152, w2 = 5666.069, dw = -0.07399, nw = 1651 Venu_day.0036.ec.fits: ap = 48, w1 = 5730.278, w2 = 5609.418, dw = -0.07325, nw = 1651 Venu_day.0036.ec.fits: ap = 49, w1 = 5673.55, w2 = 5553.889, dw = -0.07252, nw = 1651 Venu_day.0036.ec.fits: ap = 50, w1 = 5617.935, w2 = 5499.449, dw = -0.07181, nw = 1651 Venu_day.0036.ec.fits: ap = 51, w1 = 5563.4, w2 = 5446.066, dw = -0.07111, nw = 1651 Venu_day.0036.ec.fits: ap = 52, w1 = 5509.914, w2 = 5393.71, dw = -0.07043, nw = 1651 Venu_day.0036.ec.fits: ap = 53, w1 = 5457.446, w2 = 5342.351, dw = -0.06975, nw = 1651 Venu_day.0036.ec.fits: ap = 54, w1 = 5405.969, w2 = 5291.961, dw = -0.0691, nw = 1651 Venu_day.0036.ec.fits: ap = 55, w1 = 5355.453, w2 = 5242.514, dw = -0.06845, nw = 1651 Venu_day.0036.ec.fits: ap = 56, w1 = 5305.874, w2 = 5193.982, dw = -0.06781, nw = 1651 Venu_day.0036.ec.fits: ap = 57, w1 = 5257.204, w2 = 5146.34, dw = -0.06719, nw = 1651 Venu_day.0036.ec.fits: ap = 58, w1 = 5209.419, w2 = 5099.565, dw = -0.06658, nw = 1651 Venu_day.0036.ec.fits: ap = 59, w1 = 5162.495, w2 = 5053.633, dw = -0.06598, nw = 1651 Venu_day.0036.ec.fits: ap = 60, w1 = 5116.409, w2 = 5008.521, dw = -0.06539, nw = 1651 Venu_day.0036.ec.fits: ap = 61, w1 = 5071.139, w2 = 4964.208, dw = -0.06481, nw = 1651 Venu_day.0036.ec.fits: ap = 62, w1 = 5026.663, w2 = 4920.672, dw = -0.06424, nw = 1651 Venu_day.0036.ec.fits: ap = 63, w1 = 4982.961, w2 = 4877.894, dw = -0.06368, nw = 1651 Venu_day.0036.ec.fits: ap = 64, w1 = 4940.012, w2 = 4835.853, dw = -0.06313, nw = 1651 Venu_day.0036.ec.fits: ap = 65, w1 = 4897.798, w2 = 4794.531, dw = -0.06259, nw = 1651 Venu_day.0036.ec.fits: ap = 66, w1 = 4856.299, w2 = 4753.91, dw = -0.06205, nw = 1651 Venu_day.0036.ec.fits: ap = 67, w1 = 4815.497, w2 = 4713.971, dw = -0.06153, nw = 1651 Venu_day.0036.ec.fits: ap = 68, w1 = 4775.376, w2 = 4674.699, dw = -0.06102, nw = 1651 Venu_day.0036.ec.fits: ap = 69, w1 = 4735.918, w2 = 4636.075, dw = -0.06051, nw = 1651 Venu_day.0036.ec.fits: ap = 70, w1 = 4697.107, w2 = 4598.085, dw = -0.06001, nw = 1651 Venu_day.0036.ec.fits: ap = 71, w1 = 4658.926, w2 = 4560.713, dw = -0.05952, nw = 1651 Venu_day.0036.ec.fits: ap = 72, w1 = 4621.362, w2 = 4523.944, dw = -0.05904, nw = 1651 Venu_day.0036.ec.fits: ap = 73, w1 = 4584.399, w2 = 4487.763, dw = -0.05857, nw = 1651 Venu_day.0036.ec.fits: ap = 74, w1 = 4548.022, w2 = 4452.156, dw = -0.0581, nw = 1651 Venu_day.0036.ec.fits: ap = 75, w1 = 4512.219, w2 = 4417.111, dw = -0.05764, nw = 1651 Venu_day.0036.ec.fits: ap = 76, w1 = 4476.974, w2 = 4382.613, dw = -0.05719, nw = 1651 Venu_day.0036.ec.fits: ap = 77, w1 = 4442.277, w2 = 4348.651, dw = -0.05674, nw = 1651 Venu_day.0036.ec.fits: ap = 78, w1 = 4408.113, w2 = 4315.211, dw = -0.0563, nw = 1651 Venu_day.0036.ec.fits: ap = 79, w1 = 4374.47, w2 = 4282.282, dw = -0.05587, nw = 1651 Venu_day.0036.ec.fits: ap = 80, w1 = 4341.338, w2 = 4249.852, dw = -0.05545, nw = 1651 Venu_day.0036.ec.fits: ap = 81, w1 = 4308.703, w2 = 4217.91, dw = -0.05503, nw = 1651 Venu_day.0036.ec.fits: ap = 82, w1 = 4276.556, w2 = 4186.445, dw = -0.05461, nw = 1651 Venu_day.0036.ec.fits: ap = 83, w1 = 4244.885, w2 = 4155.446, dw = -0.05421, nw = 1651 Venu_day.0036.ec.fits: ap = 84, w1 = 4213.68, w2 = 4124.904, dw = -0.0538, nw = 1651 Venu_day.0036.ec.fits: ap = 85, w1 = 4182.93, w2 = 4094.807, dw = -0.05341, nw = 1651 Venu_day.0036.ec.fits: ap = 86, w1 = 4152.626, w2 = 4065.147, dw = -0.05302, nw = 1651 Venu_day.0036.ec.fits: ap = 87, w1 = 4122.758, w2 = 4035.914, dw = -0.05263, nw = 1651 Venu_day.0036.ec.fits: ap = 88, w1 = 4093.316, w2 = 4007.099, dw = -0.05225, nw = 1651 Venu_day.0036.ec.fits: ap = 89, w1 = 4064.292, w2 = 3978.693, dw = -0.05188, nw = 1651 Venu_day.0036.ec.fits: ap = 90, w1 = 4035.677, w2 = 3950.687, dw = -0.05151, nw = 1651 Venu_day.0036.ec.fits: ap = 91, w1 = 4007.462, w2 = 3923.073, dw = -0.05114, nw = 1651 Venu_day.0036.ec.fits: ap = 92, w1 = 3979.638, w2 = 3895.843, dw = -0.05078, nw = 1651 Venu_day.0036.ec.fits: ap = 93, w1 = 3952.199, w2 = 3868.989, dw = -0.05043, nw = 1651 Venu_day.0036.ec.fits: ap = 94, w1 = 3925.135, w2 = 3842.503, dw = -0.05008, nw = 1651 Venu_day.0036.ec.fits: ap = 95, w1 = 3898.439, w2 = 3816.378, dw = -0.04973, nw = 1651 Venu_day.0036.ec.fits: ap = 96, w1 = 3872.104, w2 = 3790.606, dw = -0.04939, nw = 1651 Venu_day.0036.ec.fits: ap = 97, w1 = 3846.123, w2 = 3765.18, dw = -0.04906, nw = 1651 Venu_day.0036.ec.fits: ap = 98, w1 = 3820.487, w2 = 3740.094, dw = -0.04872, nw = 1651 Venu_day.0036.ec.fits: ap = 99, w1 = 3795.191, w2 = 3715.34, dw = -0.04839, nw = 1651 Venu_day.0036.ec.fits: ap = 100, w1 = 3770.228, w2 = 3690.913, dw = -0.04807, nw = 1651 Venu_day.0036.ec.fits: ap = 101, w1 = 3745.591, w2 = 3666.805, dw = -0.04775, nw = 1651 Venu_day.0036.ec.fits: ap = 102, w1 = 3721.274, w2 = 3643.01, dw = -0.04743, nw = 1651 Venu_day.0036.ec.fits: ap = 103, w1 = 3697.271, w2 = 3619.523, dw = -0.04712, nw = 1651 Venu_day.0036.ec.fits: ap = 104, w1 = 3673.575, w2 = 3596.337, dw = -0.04681, nw = 1651 Venu_day.0036.ec.fits: ap = 105, w1 = 3650.181, w2 = 3573.447, dw = -0.04651, nw = 1651 Venu_day.0036.ec.fits: ap = 106, w1 = 3627.082, w2 = 3550.847, dw = -0.0462, nw = 1651 Venu_day.0036.ec.fits: ap = 107, w1 = 3604.274, w2 = 3528.532, dw = -0.0459, nw = 1651 Venu_day.0036.ec.fits: ap = 108, w1 = 3581.751, w2 = 3506.496, dw = -0.04561, nw = 1651 Venu_day.0036.ec.fits: ap = 109, w1 = 3559.508, w2 = 3484.735, dw = -0.04532, nw = 1651 Venu_day.0036.ec.fits: ap = 110, w1 = 3537.539, w2 = 3463.242, dw = -0.04503, nw = 1651 Venu_day.0036.ec.fits: ap = 111, w1 = 3515.84, w2 = 3442.014, dw = -0.04474, nw = 1651 Venu_day.0036.ec.fits: ap = 112, w1 = 3494.404, w2 = 3421.044, dw = -0.04446, nw = 1651 Venu_day.0036.ec.fits: ap = 113, w1 = 3473.229, w2 = 3400.33, dw = -0.04418, nw = 1651 Venu_day.0036.ec.fits: ap = 114, w1 = 3452.308, w2 = 3379.865, dw = -0.0439, nw = 1651 Venu_day.0036.ec.fits: ap = 115, w1 = 3431.638, w2 = 3359.646, dw = -0.04363, nw = 1651 Venu_day.0037.ec.fits: REFSPEC1 = 'ThAr.0015.ec 1.' Venu_day.0037.ec.fits: ap = 1, w1 = 10811.12, w2 = 10583.03, dw = -0.13823, nw = 1651 Venu_day.0037.ec.fits: ap = 2, w1 = 10610.93, w2 = 10387.06, dw = -0.13568, nw = 1651 Venu_day.0037.ec.fits: ap = 3, w1 = 10418.03, w2 = 10198.22, dw = -0.13322, nw = 1651 Venu_day.0037.ec.fits: ap = 4, w1 = 10232.01, w2 = 10016.12, dw = -0.13084, nw = 1651 Venu_day.0037.ec.fits: ap = 5, w1 = 10052.52, w2 = 9840.416, dw = -0.12855, nw = 1651 Venu_day.0037.ec.fits: ap = 6, w1 = 9879.219, w2 = 9670.767, dw = -0.12633, nw = 1651 Venu_day.0037.ec.fits: ap = 7, w1 = 9711.791, w2 = 9506.869, dw = -0.12419, nw = 1651 Venu_day.0037.ec.fits: ap = 8, w1 = 9549.944, w2 = 9348.435, dw = -0.12213, nw = 1651 Venu_day.0037.ec.fits: ap = 9, w1 = 9393.403, w2 = 9195.195, dw = -0.12013, nw = 1651 Venu_day.0037.ec.fits: ap = 10, w1 = 9241.912, w2 = 9046.899, dw = -0.11819, nw = 1651 Venu_day.0037.ec.fits: ap = 11, w1 = 9095.229, w2 = 8903.31, dw = -0.11631, nw = 1651 Venu_day.0037.ec.fits: ap = 12, w1 = 8953.13, w2 = 8764.209, dw = -0.1145, nw = 1651 Venu_day.0037.ec.fits: ap = 13, w1 = 8815.403, w2 = 8629.387, dw = -0.11274, nw = 1651 Venu_day.0037.ec.fits: ap = 14, w1 = 8681.849, w2 = 8498.652, dw = -0.11103, nw = 1651 Venu_day.0037.ec.fits: ap = 15, w1 = 8552.282, w2 = 8371.819, dw = -0.10937, nw = 1651 Venu_day.0037.ec.fits: ap = 16, w1 = 8426.525, w2 = 8248.716, dw = -0.10776, nw = 1651 Venu_day.0037.ec.fits: ap = 17, w1 = 8304.413, w2 = 8129.182, dw = -0.1062, nw = 1651 Venu_day.0037.ec.fits: ap = 18, w1 = 8185.79, w2 = 8013.063, dw = -0.10468, nw = 1651 Venu_day.0037.ec.fits: ap = 19, w1 = 8070.509, w2 = 7900.215, dw = -0.10321, nw = 1651 Venu_day.0037.ec.fits: ap = 20, w1 = 7958.429, w2 = 7790.501, dw = -0.10177, nw = 1651 Venu_day.0037.ec.fits: ap = 21, w1 = 7849.42, w2 = 7683.794, dw = -0.10038, nw = 1651 Venu_day.0037.ec.fits: ap = 22, w1 = 7743.357, w2 = 7579.971, dw = -0.09902, nw = 1651 Venu_day.0037.ec.fits: ap = 23, w1 = 7640.122, w2 = 7478.916, dw = -0.0977, nw = 1651 Venu_day.0037.ec.fits: ap = 24, w1 = 7539.604, w2 = 7380.521, dw = -0.09641, nw = 1651 Venu_day.0037.ec.fits: ap = 25, w1 = 7441.697, w2 = 7284.681, dw = -0.09516, nw = 1651 Venu_day.0037.ec.fits: ap = 26, w1 = 7346.3, w2 = 7191.299, dw = -0.09394, nw = 1651 Venu_day.0037.ec.fits: ap = 27, w1 = 7253.318, w2 = 7100.281, dw = -0.09275, nw = 1651 Venu_day.0037.ec.fits: ap = 28, w1 = 7162.661, w2 = 7011.539, dw = -0.09159, nw = 1651 Venu_day.0037.ec.fits: ap = 29, w1 = 7074.242, w2 = 6924.988, dw = -0.09046, nw = 1651 Venu_day.0037.ec.fits: ap = 30, w1 = 6987.98, w2 = 6840.548, dw = -0.08935, nw = 1651 Venu_day.0037.ec.fits: ap = 31, w1 = 6903.796, w2 = 6758.142, dw = -0.08827, nw = 1651 Venu_day.0037.ec.fits: ap = 32, w1 = 6821.616, w2 = 6677.699, dw = -0.08722, nw = 1651 Venu_day.0037.ec.fits: ap = 33, w1 = 6741.371, w2 = 6599.148, dw = -0.0862, nw = 1651 Venu_day.0037.ec.fits: ap = 34, w1 = 6662.991, w2 = 6522.425, dw = -0.08519, nw = 1651 Venu_day.0037.ec.fits: ap = 35, w1 = 6586.413, w2 = 6447.465, dw = -0.08421, nw = 1651 Venu_day.0037.ec.fits: ap = 36, w1 = 6511.576, w2 = 6374.209, dw = -0.08325, nw = 1651 Venu_day.0037.ec.fits: ap = 37, w1 = 6438.421, w2 = 6302.599, dw = -0.08232, nw = 1651 Venu_day.0037.ec.fits: ap = 38, w1 = 6366.891, w2 = 6232.58, dw = -0.0814, nw = 1651 Venu_day.0037.ec.fits: ap = 39, w1 = 6296.933, w2 = 6164.101, dw = -0.0805, nw = 1651 Venu_day.0037.ec.fits: ap = 40, w1 = 6228.496, w2 = 6097.11, dw = -0.07963, nw = 1651 Venu_day.0037.ec.fits: ap = 41, w1 = 6161.531, w2 = 6031.56, dw = -0.07877, nw = 1651 Venu_day.0037.ec.fits: ap = 42, w1 = 6095.991, w2 = 5967.404, dw = -0.07793, nw = 1651 Venu_day.0037.ec.fits: ap = 43, w1 = 6031.831, w2 = 5904.599, dw = -0.07711, nw = 1651 Venu_day.0037.ec.fits: ap = 44, w1 = 5969.007, w2 = 5843.103, dw = -0.07631, nw = 1651 Venu_day.0037.ec.fits: ap = 45, w1 = 5907.479, w2 = 5782.875, dw = -0.07552, nw = 1651 Venu_day.0037.ec.fits: ap = 46, w1 = 5847.206, w2 = 5723.876, dw = -0.07475, nw = 1651 Venu_day.0037.ec.fits: ap = 47, w1 = 5788.152, w2 = 5666.069, dw = -0.07399, nw = 1651 Venu_day.0037.ec.fits: ap = 48, w1 = 5730.278, w2 = 5609.418, dw = -0.07325, nw = 1651 Venu_day.0037.ec.fits: ap = 49, w1 = 5673.55, w2 = 5553.889, dw = -0.07252, nw = 1651 Venu_day.0037.ec.fits: ap = 50, w1 = 5617.935, w2 = 5499.449, dw = -0.07181, nw = 1651 Venu_day.0037.ec.fits: ap = 51, w1 = 5563.4, w2 = 5446.066, dw = -0.07111, nw = 1651 Venu_day.0037.ec.fits: ap = 52, w1 = 5509.914, w2 = 5393.71, dw = -0.07043, nw = 1651 Venu_day.0037.ec.fits: ap = 53, w1 = 5457.446, w2 = 5342.351, dw = -0.06975, nw = 1651 Venu_day.0037.ec.fits: ap = 54, w1 = 5405.969, w2 = 5291.961, dw = -0.0691, nw = 1651 Venu_day.0037.ec.fits: ap = 55, w1 = 5355.453, w2 = 5242.514, dw = -0.06845, nw = 1651 Venu_day.0037.ec.fits: ap = 56, w1 = 5305.874, w2 = 5193.982, dw = -0.06781, nw = 1651 Venu_day.0037.ec.fits: ap = 57, w1 = 5257.204, w2 = 5146.34, dw = -0.06719, nw = 1651 Venu_day.0037.ec.fits: ap = 58, w1 = 5209.419, w2 = 5099.565, dw = -0.06658, nw = 1651 Venu_day.0037.ec.fits: ap = 59, w1 = 5162.495, w2 = 5053.633, dw = -0.06598, nw = 1651 Venu_day.0037.ec.fits: ap = 60, w1 = 5116.409, w2 = 5008.521, dw = -0.06539, nw = 1651 Venu_day.0037.ec.fits: ap = 61, w1 = 5071.139, w2 = 4964.208, dw = -0.06481, nw = 1651 Venu_day.0037.ec.fits: ap = 62, w1 = 5026.663, w2 = 4920.672, dw = -0.06424, nw = 1651 Venu_day.0037.ec.fits: ap = 63, w1 = 4982.961, w2 = 4877.894, dw = -0.06368, nw = 1651 Venu_day.0037.ec.fits: ap = 64, w1 = 4940.012, w2 = 4835.853, dw = -0.06313, nw = 1651 Venu_day.0037.ec.fits: ap = 65, w1 = 4897.798, w2 = 4794.531, dw = -0.06259, nw = 1651 Venu_day.0037.ec.fits: ap = 66, w1 = 4856.299, w2 = 4753.91, dw = -0.06205, nw = 1651 Venu_day.0037.ec.fits: ap = 67, w1 = 4815.497, w2 = 4713.971, dw = -0.06153, nw = 1651 Venu_day.0037.ec.fits: ap = 68, w1 = 4775.376, w2 = 4674.699, dw = -0.06102, nw = 1651 Venu_day.0037.ec.fits: ap = 69, w1 = 4735.918, w2 = 4636.075, dw = -0.06051, nw = 1651 Venu_day.0037.ec.fits: ap = 70, w1 = 4697.107, w2 = 4598.085, dw = -0.06001, nw = 1651 Venu_day.0037.ec.fits: ap = 71, w1 = 4658.926, w2 = 4560.713, dw = -0.05952, nw = 1651 Venu_day.0037.ec.fits: ap = 72, w1 = 4621.362, w2 = 4523.944, dw = -0.05904, nw = 1651 Venu_day.0037.ec.fits: ap = 73, w1 = 4584.399, w2 = 4487.763, dw = -0.05857, nw = 1651 Venu_day.0037.ec.fits: ap = 74, w1 = 4548.022, w2 = 4452.156, dw = -0.0581, nw = 1651 Venu_day.0037.ec.fits: ap = 75, w1 = 4512.219, w2 = 4417.111, dw = -0.05764, nw = 1651 Venu_day.0037.ec.fits: ap = 76, w1 = 4476.974, w2 = 4382.613, dw = -0.05719, nw = 1651 Venu_day.0037.ec.fits: ap = 77, w1 = 4442.277, w2 = 4348.651, dw = -0.05674, nw = 1651 Venu_day.0037.ec.fits: ap = 78, w1 = 4408.113, w2 = 4315.211, dw = -0.0563, nw = 1651 Venu_day.0037.ec.fits: ap = 79, w1 = 4374.47, w2 = 4282.282, dw = -0.05587, nw = 1651 Venu_day.0037.ec.fits: ap = 80, w1 = 4341.338, w2 = 4249.852, dw = -0.05545, nw = 1651 Venu_day.0037.ec.fits: ap = 81, w1 = 4308.703, w2 = 4217.91, dw = -0.05503, nw = 1651 Venu_day.0037.ec.fits: ap = 82, w1 = 4276.556, w2 = 4186.445, dw = -0.05461, nw = 1651 Venu_day.0037.ec.fits: ap = 83, w1 = 4244.885, w2 = 4155.446, dw = -0.05421, nw = 1651 Venu_day.0037.ec.fits: ap = 84, w1 = 4213.68, w2 = 4124.904, dw = -0.0538, nw = 1651 Venu_day.0037.ec.fits: ap = 85, w1 = 4182.93, w2 = 4094.807, dw = -0.05341, nw = 1651 Venu_day.0037.ec.fits: ap = 86, w1 = 4152.626, w2 = 4065.147, dw = -0.05302, nw = 1651 Venu_day.0037.ec.fits: ap = 87, w1 = 4122.758, w2 = 4035.914, dw = -0.05263, nw = 1651 Venu_day.0037.ec.fits: ap = 88, w1 = 4093.316, w2 = 4007.099, dw = -0.05225, nw = 1651 Venu_day.0037.ec.fits: ap = 89, w1 = 4064.292, w2 = 3978.693, dw = -0.05188, nw = 1651 Venu_day.0037.ec.fits: ap = 90, w1 = 4035.677, w2 = 3950.687, dw = -0.05151, nw = 1651 Venu_day.0037.ec.fits: ap = 91, w1 = 4007.462, w2 = 3923.073, dw = -0.05114, nw = 1651 Venu_day.0037.ec.fits: ap = 92, w1 = 3979.638, w2 = 3895.843, dw = -0.05078, nw = 1651 Venu_day.0037.ec.fits: ap = 93, w1 = 3952.199, w2 = 3868.989, dw = -0.05043, nw = 1651 Venu_day.0037.ec.fits: ap = 94, w1 = 3925.135, w2 = 3842.503, dw = -0.05008, nw = 1651 Venu_day.0037.ec.fits: ap = 95, w1 = 3898.439, w2 = 3816.378, dw = -0.04973, nw = 1651 Venu_day.0037.ec.fits: ap = 96, w1 = 3872.104, w2 = 3790.606, dw = -0.04939, nw = 1651 Venu_day.0037.ec.fits: ap = 97, w1 = 3846.123, w2 = 3765.18, dw = -0.04906, nw = 1651 Venu_day.0037.ec.fits: ap = 98, w1 = 3820.487, w2 = 3740.094, dw = -0.04872, nw = 1651 Venu_day.0037.ec.fits: ap = 99, w1 = 3795.191, w2 = 3715.34, dw = -0.04839, nw = 1651 Venu_day.0037.ec.fits: ap = 100, w1 = 3770.228, w2 = 3690.913, dw = -0.04807, nw = 1651 Venu_day.0037.ec.fits: ap = 101, w1 = 3745.591, w2 = 3666.805, dw = -0.04775, nw = 1651 Venu_day.0037.ec.fits: ap = 102, w1 = 3721.274, w2 = 3643.01, dw = -0.04743, nw = 1651 Venu_day.0037.ec.fits: ap = 103, w1 = 3697.271, w2 = 3619.523, dw = -0.04712, nw = 1651 Venu_day.0037.ec.fits: ap = 104, w1 = 3673.575, w2 = 3596.337, dw = -0.04681, nw = 1651 Venu_day.0037.ec.fits: ap = 105, w1 = 3650.181, w2 = 3573.447, dw = -0.04651, nw = 1651 Venu_day.0037.ec.fits: ap = 106, w1 = 3627.082, w2 = 3550.847, dw = -0.0462, nw = 1651 Venu_day.0037.ec.fits: ap = 107, w1 = 3604.274, w2 = 3528.532, dw = -0.0459, nw = 1651 Venu_day.0037.ec.fits: ap = 108, w1 = 3581.751, w2 = 3506.496, dw = -0.04561, nw = 1651 Venu_day.0037.ec.fits: ap = 109, w1 = 3559.508, w2 = 3484.735, dw = -0.04532, nw = 1651 Venu_day.0037.ec.fits: ap = 110, w1 = 3537.539, w2 = 3463.242, dw = -0.04503, nw = 1651 Venu_day.0037.ec.fits: ap = 111, w1 = 3515.84, w2 = 3442.014, dw = -0.04474, nw = 1651 Venu_day.0037.ec.fits: ap = 112, w1 = 3494.404, w2 = 3421.044, dw = -0.04446, nw = 1651 Venu_day.0037.ec.fits: ap = 113, w1 = 3473.229, w2 = 3400.33, dw = -0.04418, nw = 1651 Venu_day.0037.ec.fits: ap = 114, w1 = 3452.308, w2 = 3379.865, dw = -0.0439, nw = 1651 Venu_day.0037.ec.fits: ap = 115, w1 = 3431.638, w2 = 3359.646, dw = -0.04363, nw = 1651 Venu_night.0035.ec.fits: REFSPEC1 = 'ThAr.0015.ec 1.' Venu_night.0035.ec.fits: ap = 1, w1 = 10811.12, w2 = 10583.03, dw = -0.13823, nw = 1651 Venu_night.0035.ec.fits: ap = 2, w1 = 10610.93, w2 = 10387.06, dw = -0.13568, nw = 1651 Venu_night.0035.ec.fits: ap = 3, w1 = 10418.03, w2 = 10198.22, dw = -0.13322, nw = 1651 Venu_night.0035.ec.fits: ap = 4, w1 = 10232.01, w2 = 10016.12, dw = -0.13084, nw = 1651 Venu_night.0035.ec.fits: ap = 5, w1 = 10052.52, w2 = 9840.416, dw = -0.12855, nw = 1651 Venu_night.0035.ec.fits: ap = 6, w1 = 9879.219, w2 = 9670.767, dw = -0.12633, nw = 1651 Venu_night.0035.ec.fits: ap = 7, w1 = 9711.791, w2 = 9506.869, dw = -0.12419, nw = 1651 Venu_night.0035.ec.fits: ap = 8, w1 = 9549.944, w2 = 9348.435, dw = -0.12213, nw = 1651 Venu_night.0035.ec.fits: ap = 9, w1 = 9393.403, w2 = 9195.195, dw = -0.12013, nw = 1651 Venu_night.0035.ec.fits: ap = 10, w1 = 9241.912, w2 = 9046.899, dw = -0.11819, nw = 1651 Venu_night.0035.ec.fits: ap = 11, w1 = 9095.229, w2 = 8903.31, dw = -0.11631, nw = 1651 Venu_night.0035.ec.fits: ap = 12, w1 = 8953.13, w2 = 8764.209, dw = -0.1145, nw = 1651 Venu_night.0035.ec.fits: ap = 13, w1 = 8815.403, w2 = 8629.387, dw = -0.11274, nw = 1651 Venu_night.0035.ec.fits: ap = 14, w1 = 8681.849, w2 = 8498.652, dw = -0.11103, nw = 1651 Venu_night.0035.ec.fits: ap = 15, w1 = 8552.282, w2 = 8371.819, dw = -0.10937, nw = 1651 Venu_night.0035.ec.fits: ap = 16, w1 = 8426.525, w2 = 8248.716, dw = -0.10776, nw = 1651 Venu_night.0035.ec.fits: ap = 17, w1 = 8304.413, w2 = 8129.182, dw = -0.1062, nw = 1651 Venu_night.0035.ec.fits: ap = 18, w1 = 8185.79, w2 = 8013.063, dw = -0.10468, nw = 1651 Venu_night.0035.ec.fits: ap = 19, w1 = 8070.509, w2 = 7900.215, dw = -0.10321, nw = 1651 Venu_night.0035.ec.fits: ap = 20, w1 = 7958.429, w2 = 7790.501, dw = -0.10177, nw = 1651 Venu_night.0035.ec.fits: ap = 21, w1 = 7849.42, w2 = 7683.794, dw = -0.10038, nw = 1651 Venu_night.0035.ec.fits: ap = 22, w1 = 7743.357, w2 = 7579.971, dw = -0.09902, nw = 1651 Venu_night.0035.ec.fits: ap = 23, w1 = 7640.122, w2 = 7478.916, dw = -0.0977, nw = 1651 Venu_night.0035.ec.fits: ap = 24, w1 = 7539.604, w2 = 7380.521, dw = -0.09641, nw = 1651 Venu_night.0035.ec.fits: ap = 25, w1 = 7441.697, w2 = 7284.681, dw = -0.09516, nw = 1651 Venu_night.0035.ec.fits: ap = 26, w1 = 7346.3, w2 = 7191.299, dw = -0.09394, nw = 1651 Venu_night.0035.ec.fits: ap = 27, w1 = 7253.318, w2 = 7100.281, dw = -0.09275, nw = 1651 Venu_night.0035.ec.fits: ap = 28, w1 = 7162.661, w2 = 7011.539, dw = -0.09159, nw = 1651 Venu_night.0035.ec.fits: ap = 29, w1 = 7074.242, w2 = 6924.988, dw = -0.09046, nw = 1651 Venu_night.0035.ec.fits: ap = 30, w1 = 6987.98, w2 = 6840.548, dw = -0.08935, nw = 1651 Venu_night.0035.ec.fits: ap = 31, w1 = 6903.796, w2 = 6758.142, dw = -0.08827, nw = 1651 Venu_night.0035.ec.fits: ap = 32, w1 = 6821.616, w2 = 6677.699, dw = -0.08722, nw = 1651 Venu_night.0035.ec.fits: ap = 33, w1 = 6741.371, w2 = 6599.148, dw = -0.0862, nw = 1651 Venu_night.0035.ec.fits: ap = 34, w1 = 6662.991, w2 = 6522.425, dw = -0.08519, nw = 1651 Venu_night.0035.ec.fits: ap = 35, w1 = 6586.413, w2 = 6447.465, dw = -0.08421, nw = 1651 Venu_night.0035.ec.fits: ap = 36, w1 = 6511.576, w2 = 6374.209, dw = -0.08325, nw = 1651 Venu_night.0035.ec.fits: ap = 37, w1 = 6438.421, w2 = 6302.599, dw = -0.08232, nw = 1651 Venu_night.0035.ec.fits: ap = 38, w1 = 6366.891, w2 = 6232.58, dw = -0.0814, nw = 1651 Venu_night.0035.ec.fits: ap = 39, w1 = 6296.933, w2 = 6164.101, dw = -0.0805, nw = 1651 Venu_night.0035.ec.fits: ap = 40, w1 = 6228.496, w2 = 6097.11, dw = -0.07963, nw = 1651 Venu_night.0035.ec.fits: ap = 41, w1 = 6161.531, w2 = 6031.56, dw = -0.07877, nw = 1651 Venu_night.0035.ec.fits: ap = 42, w1 = 6095.991, w2 = 5967.404, dw = -0.07793, nw = 1651 Venu_night.0035.ec.fits: ap = 43, w1 = 6031.831, w2 = 5904.599, dw = -0.07711, nw = 1651 Venu_night.0035.ec.fits: ap = 44, w1 = 5969.007, w2 = 5843.103, dw = -0.07631, nw = 1651 Venu_night.0035.ec.fits: ap = 45, w1 = 5907.479, w2 = 5782.875, dw = -0.07552, nw = 1651 Venu_night.0035.ec.fits: ap = 46, w1 = 5847.206, w2 = 5723.876, dw = -0.07475, nw = 1651 Venu_night.0035.ec.fits: ap = 47, w1 = 5788.152, w2 = 5666.069, dw = -0.07399, nw = 1651 Venu_night.0035.ec.fits: ap = 48, w1 = 5730.278, w2 = 5609.418, dw = -0.07325, nw = 1651 Venu_night.0035.ec.fits: ap = 49, w1 = 5673.55, w2 = 5553.889, dw = -0.07252, nw = 1651 Venu_night.0035.ec.fits: ap = 50, w1 = 5617.935, w2 = 5499.449, dw = -0.07181, nw = 1651 Venu_night.0035.ec.fits: ap = 51, w1 = 5563.4, w2 = 5446.066, dw = -0.07111, nw = 1651 Venu_night.0035.ec.fits: ap = 52, w1 = 5509.914, w2 = 5393.71, dw = -0.07043, nw = 1651 Venu_night.0035.ec.fits: ap = 53, w1 = 5457.446, w2 = 5342.351, dw = -0.06975, nw = 1651 Venu_night.0035.ec.fits: ap = 54, w1 = 5405.969, w2 = 5291.961, dw = -0.0691, nw = 1651 Venu_night.0035.ec.fits: ap = 55, w1 = 5355.453, w2 = 5242.514, dw = -0.06845, nw = 1651 Venu_night.0035.ec.fits: ap = 56, w1 = 5305.874, w2 = 5193.982, dw = -0.06781, nw = 1651 Venu_night.0035.ec.fits: ap = 57, w1 = 5257.204, w2 = 5146.34, dw = -0.06719, nw = 1651 Venu_night.0035.ec.fits: ap = 58, w1 = 5209.419, w2 = 5099.565, dw = -0.06658, nw = 1651 Venu_night.0035.ec.fits: ap = 59, w1 = 5162.495, w2 = 5053.633, dw = -0.06598, nw = 1651 Venu_night.0035.ec.fits: ap = 60, w1 = 5116.409, w2 = 5008.521, dw = -0.06539, nw = 1651 Venu_night.0035.ec.fits: ap = 61, w1 = 5071.139, w2 = 4964.208, dw = -0.06481, nw = 1651 Venu_night.0035.ec.fits: ap = 62, w1 = 5026.663, w2 = 4920.672, dw = -0.06424, nw = 1651 Venu_night.0035.ec.fits: ap = 63, w1 = 4982.961, w2 = 4877.894, dw = -0.06368, nw = 1651 Venu_night.0035.ec.fits: ap = 64, w1 = 4940.012, w2 = 4835.853, dw = -0.06313, nw = 1651 Venu_night.0035.ec.fits: ap = 65, w1 = 4897.798, w2 = 4794.531, dw = -0.06259, nw = 1651 Venu_night.0035.ec.fits: ap = 66, w1 = 4856.299, w2 = 4753.91, dw = -0.06205, nw = 1651 Venu_night.0035.ec.fits: ap = 67, w1 = 4815.497, w2 = 4713.971, dw = -0.06153, nw = 1651 Venu_night.0035.ec.fits: ap = 68, w1 = 4775.376, w2 = 4674.699, dw = -0.06102, nw = 1651 Venu_night.0035.ec.fits: ap = 69, w1 = 4735.918, w2 = 4636.075, dw = -0.06051, nw = 1651 Venu_night.0035.ec.fits: ap = 70, w1 = 4697.107, w2 = 4598.085, dw = -0.06001, nw = 1651 Venu_night.0035.ec.fits: ap = 71, w1 = 4658.926, w2 = 4560.713, dw = -0.05952, nw = 1651 Venu_night.0035.ec.fits: ap = 72, w1 = 4621.362, w2 = 4523.944, dw = -0.05904, nw = 1651 Venu_night.0035.ec.fits: ap = 73, w1 = 4584.399, w2 = 4487.763, dw = -0.05857, nw = 1651 Venu_night.0035.ec.fits: ap = 74, w1 = 4548.022, w2 = 4452.156, dw = -0.0581, nw = 1651 Venu_night.0035.ec.fits: ap = 75, w1 = 4512.219, w2 = 4417.111, dw = -0.05764, nw = 1651 Venu_night.0035.ec.fits: ap = 76, w1 = 4476.974, w2 = 4382.613, dw = -0.05719, nw = 1651 Venu_night.0035.ec.fits: ap = 77, w1 = 4442.277, w2 = 4348.651, dw = -0.05674, nw = 1651 Venu_night.0035.ec.fits: ap = 78, w1 = 4408.113, w2 = 4315.211, dw = -0.0563, nw = 1651 Venu_night.0035.ec.fits: ap = 79, w1 = 4374.47, w2 = 4282.282, dw = -0.05587, nw = 1651 Venu_night.0035.ec.fits: ap = 80, w1 = 4341.338, w2 = 4249.852, dw = -0.05545, nw = 1651 Venu_night.0035.ec.fits: ap = 81, w1 = 4308.703, w2 = 4217.91, dw = -0.05503, nw = 1651 Venu_night.0035.ec.fits: ap = 82, w1 = 4276.556, w2 = 4186.445, dw = -0.05461, nw = 1651 Venu_night.0035.ec.fits: ap = 83, w1 = 4244.885, w2 = 4155.446, dw = -0.05421, nw = 1651 Venu_night.0035.ec.fits: ap = 84, w1 = 4213.68, w2 = 4124.904, dw = -0.0538, nw = 1651 Venu_night.0035.ec.fits: ap = 85, w1 = 4182.93, w2 = 4094.807, dw = -0.05341, nw = 1651 Venu_night.0035.ec.fits: ap = 86, w1 = 4152.626, w2 = 4065.147, dw = -0.05302, nw = 1651 Venu_night.0035.ec.fits: ap = 87, w1 = 4122.758, w2 = 4035.914, dw = -0.05263, nw = 1651 Venu_night.0035.ec.fits: ap = 88, w1 = 4093.316, w2 = 4007.099, dw = -0.05225, nw = 1651 Venu_night.0035.ec.fits: ap = 89, w1 = 4064.292, w2 = 3978.693, dw = -0.05188, nw = 1651 Venu_night.0035.ec.fits: ap = 90, w1 = 4035.677, w2 = 3950.687, dw = -0.05151, nw = 1651 Venu_night.0035.ec.fits: ap = 91, w1 = 4007.462, w2 = 3923.073, dw = -0.05114, nw = 1651 Venu_night.0035.ec.fits: ap = 92, w1 = 3979.638, w2 = 3895.843, dw = -0.05078, nw = 1651 Venu_night.0035.ec.fits: ap = 93, w1 = 3952.199, w2 = 3868.989, dw = -0.05043, nw = 1651 Venu_night.0035.ec.fits: ap = 94, w1 = 3925.135, w2 = 3842.503, dw = -0.05008, nw = 1651 Venu_night.0035.ec.fits: ap = 95, w1 = 3898.439, w2 = 3816.378, dw = -0.04973, nw = 1651 Venu_night.0035.ec.fits: ap = 96, w1 = 3872.104, w2 = 3790.606, dw = -0.04939, nw = 1651 Venu_night.0035.ec.fits: ap = 97, w1 = 3846.123, w2 = 3765.18, dw = -0.04906, nw = 1651 Venu_night.0035.ec.fits: ap = 98, w1 = 3820.487, w2 = 3740.094, dw = -0.04872, nw = 1651 Venu_night.0035.ec.fits: ap = 99, w1 = 3795.191, w2 = 3715.34, dw = -0.04839, nw = 1651 Venu_night.0035.ec.fits: ap = 100, w1 = 3770.228, w2 = 3690.913, dw = -0.04807, nw = 1651 Venu_night.0035.ec.fits: ap = 101, w1 = 3745.591, w2 = 3666.805, dw = -0.04775, nw = 1651 Venu_night.0035.ec.fits: ap = 102, w1 = 3721.274, w2 = 3643.01, dw = -0.04743, nw = 1651 Venu_night.0035.ec.fits: ap = 103, w1 = 3697.271, w2 = 3619.523, dw = -0.04712, nw = 1651 Venu_night.0035.ec.fits: ap = 104, w1 = 3673.575, w2 = 3596.337, dw = -0.04681, nw = 1651 Venu_night.0035.ec.fits: ap = 105, w1 = 3650.181, w2 = 3573.447, dw = -0.04651, nw = 1651 Venu_night.0035.ec.fits: ap = 106, w1 = 3627.082, w2 = 3550.847, dw = -0.0462, nw = 1651 Venu_night.0035.ec.fits: ap = 107, w1 = 3604.274, w2 = 3528.532, dw = -0.0459, nw = 1651 Venu_night.0035.ec.fits: ap = 108, w1 = 3581.751, w2 = 3506.496, dw = -0.04561, nw = 1651 Venu_night.0035.ec.fits: ap = 109, w1 = 3559.508, w2 = 3484.735, dw = -0.04532, nw = 1651 Venu_night.0035.ec.fits: ap = 110, w1 = 3537.539, w2 = 3463.242, dw = -0.04503, nw = 1651 Venu_night.0035.ec.fits: ap = 111, w1 = 3515.84, w2 = 3442.014, dw = -0.04474, nw = 1651 Venu_night.0035.ec.fits: ap = 112, w1 = 3494.404, w2 = 3421.044, dw = -0.04446, nw = 1651 Venu_night.0035.ec.fits: ap = 113, w1 = 3473.229, w2 = 3400.33, dw = -0.04418, nw = 1651 Venu_night.0035.ec.fits: ap = 114, w1 = 3452.308, w2 = 3379.865, dw = -0.0439, nw = 1651 Venu_night.0035.ec.fits: ap = 115, w1 = 3431.638, w2 = 3359.646, dw = -0.04363, nw = 1651 Venus_day.0022.ec.fits: REFSPEC1 = 'ThAr.0015.ec 1.' Venus_day.0022.ec.fits: ap = 1, w1 = 10811.12, w2 = 10583.03, dw = -0.13823, nw = 1651 Venus_day.0022.ec.fits: ap = 2, w1 = 10610.93, w2 = 10387.06, dw = -0.13568, nw = 1651 Venus_day.0022.ec.fits: ap = 3, w1 = 10418.03, w2 = 10198.22, dw = -0.13322, nw = 1651 Venus_day.0022.ec.fits: ap = 4, w1 = 10232.01, w2 = 10016.12, dw = -0.13084, nw = 1651 Venus_day.0022.ec.fits: ap = 5, w1 = 10052.52, w2 = 9840.416, dw = -0.12855, nw = 1651 Venus_day.0022.ec.fits: ap = 6, w1 = 9879.219, w2 = 9670.767, dw = -0.12633, nw = 1651 Venus_day.0022.ec.fits: ap = 7, w1 = 9711.791, w2 = 9506.869, dw = -0.12419, nw = 1651 Venus_day.0022.ec.fits: ap = 8, w1 = 9549.944, w2 = 9348.435, dw = -0.12213, nw = 1651 Venus_day.0022.ec.fits: ap = 9, w1 = 9393.403, w2 = 9195.195, dw = -0.12013, nw = 1651 Venus_day.0022.ec.fits: ap = 10, w1 = 9241.912, w2 = 9046.899, dw = -0.11819, nw = 1651 Venus_day.0022.ec.fits: ap = 11, w1 = 9095.229, w2 = 8903.31, dw = -0.11631, nw = 1651 Venus_day.0022.ec.fits: ap = 12, w1 = 8953.13, w2 = 8764.209, dw = -0.1145, nw = 1651 Venus_day.0022.ec.fits: ap = 13, w1 = 8815.403, w2 = 8629.387, dw = -0.11274, nw = 1651 Venus_day.0022.ec.fits: ap = 14, w1 = 8681.849, w2 = 8498.652, dw = -0.11103, nw = 1651 Venus_day.0022.ec.fits: ap = 15, w1 = 8552.282, w2 = 8371.819, dw = -0.10937, nw = 1651 Venus_day.0022.ec.fits: ap = 16, w1 = 8426.525, w2 = 8248.716, dw = -0.10776, nw = 1651 Venus_day.0022.ec.fits: ap = 17, w1 = 8304.413, w2 = 8129.182, dw = -0.1062, nw = 1651 Venus_day.0022.ec.fits: ap = 18, w1 = 8185.79, w2 = 8013.063, dw = -0.10468, nw = 1651 Venus_day.0022.ec.fits: ap = 19, w1 = 8070.509, w2 = 7900.215, dw = -0.10321, nw = 1651 Venus_day.0022.ec.fits: ap = 20, w1 = 7958.429, w2 = 7790.501, dw = -0.10177, nw = 1651 Venus_day.0022.ec.fits: ap = 21, w1 = 7849.42, w2 = 7683.794, dw = -0.10038, nw = 1651 Venus_day.0022.ec.fits: ap = 22, w1 = 7743.357, w2 = 7579.971, dw = -0.09902, nw = 1651 Venus_day.0022.ec.fits: ap = 23, w1 = 7640.122, w2 = 7478.916, dw = -0.0977, nw = 1651 Venus_day.0022.ec.fits: ap = 24, w1 = 7539.604, w2 = 7380.521, dw = -0.09641, nw = 1651 Venus_day.0022.ec.fits: ap = 25, w1 = 7441.697, w2 = 7284.681, dw = -0.09516, nw = 1651 Venus_day.0022.ec.fits: ap = 26, w1 = 7346.3, w2 = 7191.299, dw = -0.09394, nw = 1651 Venus_day.0022.ec.fits: ap = 27, w1 = 7253.318, w2 = 7100.281, dw = -0.09275, nw = 1651 Venus_day.0022.ec.fits: ap = 28, w1 = 7162.661, w2 = 7011.539, dw = -0.09159, nw = 1651 Venus_day.0022.ec.fits: ap = 29, w1 = 7074.242, w2 = 6924.988, dw = -0.09046, nw = 1651 Venus_day.0022.ec.fits: ap = 30, w1 = 6987.98, w2 = 6840.548, dw = -0.08935, nw = 1651 Venus_day.0022.ec.fits: ap = 31, w1 = 6903.796, w2 = 6758.142, dw = -0.08827, nw = 1651 Venus_day.0022.ec.fits: ap = 32, w1 = 6821.616, w2 = 6677.699, dw = -0.08722, nw = 1651 Venus_day.0022.ec.fits: ap = 33, w1 = 6741.371, w2 = 6599.148, dw = -0.0862, nw = 1651 Venus_day.0022.ec.fits: ap = 34, w1 = 6662.991, w2 = 6522.425, dw = -0.08519, nw = 1651 Venus_day.0022.ec.fits: ap = 35, w1 = 6586.413, w2 = 6447.465, dw = -0.08421, nw = 1651 Venus_day.0022.ec.fits: ap = 36, w1 = 6511.576, w2 = 6374.209, dw = -0.08325, nw = 1651 Venus_day.0022.ec.fits: ap = 37, w1 = 6438.421, w2 = 6302.599, dw = -0.08232, nw = 1651 Venus_day.0022.ec.fits: ap = 38, w1 = 6366.891, w2 = 6232.58, dw = -0.0814, nw = 1651 Venus_day.0022.ec.fits: ap = 39, w1 = 6296.933, w2 = 6164.101, dw = -0.0805, nw = 1651 Venus_day.0022.ec.fits: ap = 40, w1 = 6228.496, w2 = 6097.11, dw = -0.07963, nw = 1651 Venus_day.0022.ec.fits: ap = 41, w1 = 6161.531, w2 = 6031.56, dw = -0.07877, nw = 1651 Venus_day.0022.ec.fits: ap = 42, w1 = 6095.991, w2 = 5967.404, dw = -0.07793, nw = 1651 Venus_day.0022.ec.fits: ap = 43, w1 = 6031.831, w2 = 5904.599, dw = -0.07711, nw = 1651 Venus_day.0022.ec.fits: ap = 44, w1 = 5969.007, w2 = 5843.103, dw = -0.07631, nw = 1651 Venus_day.0022.ec.fits: ap = 45, w1 = 5907.479, w2 = 5782.875, dw = -0.07552, nw = 1651 Venus_day.0022.ec.fits: ap = 46, w1 = 5847.206, w2 = 5723.876, dw = -0.07475, nw = 1651 Venus_day.0022.ec.fits: ap = 47, w1 = 5788.152, w2 = 5666.069, dw = -0.07399, nw = 1651 Venus_day.0022.ec.fits: ap = 48, w1 = 5730.278, w2 = 5609.418, dw = -0.07325, nw = 1651 Venus_day.0022.ec.fits: ap = 49, w1 = 5673.55, w2 = 5553.889, dw = -0.07252, nw = 1651 Venus_day.0022.ec.fits: ap = 50, w1 = 5617.935, w2 = 5499.449, dw = -0.07181, nw = 1651 Venus_day.0022.ec.fits: ap = 51, w1 = 5563.4, w2 = 5446.066, dw = -0.07111, nw = 1651 Venus_day.0022.ec.fits: ap = 52, w1 = 5509.914, w2 = 5393.71, dw = -0.07043, nw = 1651 Venus_day.0022.ec.fits: ap = 53, w1 = 5457.446, w2 = 5342.351, dw = -0.06975, nw = 1651 Venus_day.0022.ec.fits: ap = 54, w1 = 5405.969, w2 = 5291.961, dw = -0.0691, nw = 1651 Venus_day.0022.ec.fits: ap = 55, w1 = 5355.453, w2 = 5242.514, dw = -0.06845, nw = 1651 Venus_day.0022.ec.fits: ap = 56, w1 = 5305.874, w2 = 5193.982, dw = -0.06781, nw = 1651 Venus_day.0022.ec.fits: ap = 57, w1 = 5257.204, w2 = 5146.34, dw = -0.06719, nw = 1651 Venus_day.0022.ec.fits: ap = 58, w1 = 5209.419, w2 = 5099.565, dw = -0.06658, nw = 1651 Venus_day.0022.ec.fits: ap = 59, w1 = 5162.495, w2 = 5053.633, dw = -0.06598, nw = 1651 Venus_day.0022.ec.fits: ap = 60, w1 = 5116.409, w2 = 5008.521, dw = -0.06539, nw = 1651 Venus_day.0022.ec.fits: ap = 61, w1 = 5071.139, w2 = 4964.208, dw = -0.06481, nw = 1651 Venus_day.0022.ec.fits: ap = 62, w1 = 5026.663, w2 = 4920.672, dw = -0.06424, nw = 1651 Venus_day.0022.ec.fits: ap = 63, w1 = 4982.961, w2 = 4877.894, dw = -0.06368, nw = 1651 Venus_day.0022.ec.fits: ap = 64, w1 = 4940.012, w2 = 4835.853, dw = -0.06313, nw = 1651 Venus_day.0022.ec.fits: ap = 65, w1 = 4897.798, w2 = 4794.531, dw = -0.06259, nw = 1651 Venus_day.0022.ec.fits: ap = 66, w1 = 4856.299, w2 = 4753.91, dw = -0.06205, nw = 1651 Venus_day.0022.ec.fits: ap = 67, w1 = 4815.497, w2 = 4713.971, dw = -0.06153, nw = 1651 Venus_day.0022.ec.fits: ap = 68, w1 = 4775.376, w2 = 4674.699, dw = -0.06102, nw = 1651 Venus_day.0022.ec.fits: ap = 69, w1 = 4735.918, w2 = 4636.075, dw = -0.06051, nw = 1651 Venus_day.0022.ec.fits: ap = 70, w1 = 4697.107, w2 = 4598.085, dw = -0.06001, nw = 1651 Venus_day.0022.ec.fits: ap = 71, w1 = 4658.926, w2 = 4560.713, dw = -0.05952, nw = 1651 Venus_day.0022.ec.fits: ap = 72, w1 = 4621.362, w2 = 4523.944, dw = -0.05904, nw = 1651 Venus_day.0022.ec.fits: ap = 73, w1 = 4584.399, w2 = 4487.763, dw = -0.05857, nw = 1651 Venus_day.0022.ec.fits: ap = 74, w1 = 4548.022, w2 = 4452.156, dw = -0.0581, nw = 1651 Venus_day.0022.ec.fits: ap = 75, w1 = 4512.219, w2 = 4417.111, dw = -0.05764, nw = 1651 Venus_day.0022.ec.fits: ap = 76, w1 = 4476.974, w2 = 4382.613, dw = -0.05719, nw = 1651 Venus_day.0022.ec.fits: ap = 77, w1 = 4442.277, w2 = 4348.651, dw = -0.05674, nw = 1651 Venus_day.0022.ec.fits: ap = 78, w1 = 4408.113, w2 = 4315.211, dw = -0.0563, nw = 1651 Venus_day.0022.ec.fits: ap = 79, w1 = 4374.47, w2 = 4282.282, dw = -0.05587, nw = 1651 Venus_day.0022.ec.fits: ap = 80, w1 = 4341.338, w2 = 4249.852, dw = -0.05545, nw = 1651 Venus_day.0022.ec.fits: ap = 81, w1 = 4308.703, w2 = 4217.91, dw = -0.05503, nw = 1651 Venus_day.0022.ec.fits: ap = 82, w1 = 4276.556, w2 = 4186.445, dw = -0.05461, nw = 1651 Venus_day.0022.ec.fits: ap = 83, w1 = 4244.885, w2 = 4155.446, dw = -0.05421, nw = 1651 Venus_day.0022.ec.fits: ap = 84, w1 = 4213.68, w2 = 4124.904, dw = -0.0538, nw = 1651 Venus_day.0022.ec.fits: ap = 85, w1 = 4182.93, w2 = 4094.807, dw = -0.05341, nw = 1651 Venus_day.0022.ec.fits: ap = 86, w1 = 4152.626, w2 = 4065.147, dw = -0.05302, nw = 1651 Venus_day.0022.ec.fits: ap = 87, w1 = 4122.758, w2 = 4035.914, dw = -0.05263, nw = 1651 Venus_day.0022.ec.fits: ap = 88, w1 = 4093.316, w2 = 4007.099, dw = -0.05225, nw = 1651 Venus_day.0022.ec.fits: ap = 89, w1 = 4064.292, w2 = 3978.693, dw = -0.05188, nw = 1651 Venus_day.0022.ec.fits: ap = 90, w1 = 4035.677, w2 = 3950.687, dw = -0.05151, nw = 1651 Venus_day.0022.ec.fits: ap = 91, w1 = 4007.462, w2 = 3923.073, dw = -0.05114, nw = 1651 Venus_day.0022.ec.fits: ap = 92, w1 = 3979.638, w2 = 3895.843, dw = -0.05078, nw = 1651 Venus_day.0022.ec.fits: ap = 93, w1 = 3952.199, w2 = 3868.989, dw = -0.05043, nw = 1651 Venus_day.0022.ec.fits: ap = 94, w1 = 3925.135, w2 = 3842.503, dw = -0.05008, nw = 1651 Venus_day.0022.ec.fits: ap = 95, w1 = 3898.439, w2 = 3816.378, dw = -0.04973, nw = 1651 Venus_day.0022.ec.fits: ap = 96, w1 = 3872.104, w2 = 3790.606, dw = -0.04939, nw = 1651 Venus_day.0022.ec.fits: ap = 97, w1 = 3846.123, w2 = 3765.18, dw = -0.04906, nw = 1651 Venus_day.0022.ec.fits: ap = 98, w1 = 3820.487, w2 = 3740.094, dw = -0.04872, nw = 1651 Venus_day.0022.ec.fits: ap = 99, w1 = 3795.191, w2 = 3715.34, dw = -0.04839, nw = 1651 Venus_day.0022.ec.fits: ap = 100, w1 = 3770.228, w2 = 3690.913, dw = -0.04807, nw = 1651 Venus_day.0022.ec.fits: ap = 101, w1 = 3745.591, w2 = 3666.805, dw = -0.04775, nw = 1651 Venus_day.0022.ec.fits: ap = 102, w1 = 3721.274, w2 = 3643.01, dw = -0.04743, nw = 1651 Venus_day.0022.ec.fits: ap = 103, w1 = 3697.271, w2 = 3619.523, dw = -0.04712, nw = 1651 Venus_day.0022.ec.fits: ap = 104, w1 = 3673.575, w2 = 3596.337, dw = -0.04681, nw = 1651 Venus_day.0022.ec.fits: ap = 105, w1 = 3650.181, w2 = 3573.447, dw = -0.04651, nw = 1651 Venus_day.0022.ec.fits: ap = 106, w1 = 3627.082, w2 = 3550.847, dw = -0.0462, nw = 1651 Venus_day.0022.ec.fits: ap = 107, w1 = 3604.274, w2 = 3528.532, dw = -0.0459, nw = 1651 Venus_day.0022.ec.fits: ap = 108, w1 = 3581.751, w2 = 3506.496, dw = -0.04561, nw = 1651 Venus_day.0022.ec.fits: ap = 109, w1 = 3559.508, w2 = 3484.735, dw = -0.04532, nw = 1651 Venus_day.0022.ec.fits: ap = 110, w1 = 3537.539, w2 = 3463.242, dw = -0.04503, nw = 1651 Venus_day.0022.ec.fits: ap = 111, w1 = 3515.84, w2 = 3442.014, dw = -0.04474, nw = 1651 Venus_day.0022.ec.fits: ap = 112, w1 = 3494.404, w2 = 3421.044, dw = -0.04446, nw = 1651 Venus_day.0022.ec.fits: ap = 113, w1 = 3473.229, w2 = 3400.33, dw = -0.04418, nw = 1651 Venus_day.0022.ec.fits: ap = 114, w1 = 3452.308, w2 = 3379.865, dw = -0.0439, nw = 1651 Venus_day.0022.ec.fits: ap = 115, w1 = 3431.638, w2 = 3359.646, dw = -0.04363, nw = 1651 Venus_day.0024.ec.fits: REFSPEC1 = 'ThAr.0015.ec 1.' Venus_day.0024.ec.fits: ap = 1, w1 = 10811.12, w2 = 10583.03, dw = -0.13823, nw = 1651 Venus_day.0024.ec.fits: ap = 2, w1 = 10610.93, w2 = 10387.06, dw = -0.13568, nw = 1651 Venus_day.0024.ec.fits: ap = 3, w1 = 10418.03, w2 = 10198.22, dw = -0.13322, nw = 1651 Venus_day.0024.ec.fits: ap = 4, w1 = 10232.01, w2 = 10016.12, dw = -0.13084, nw = 1651 Venus_day.0024.ec.fits: ap = 5, w1 = 10052.52, w2 = 9840.416, dw = -0.12855, nw = 1651 Venus_day.0024.ec.fits: ap = 6, w1 = 9879.219, w2 = 9670.767, dw = -0.12633, nw = 1651 Venus_day.0024.ec.fits: ap = 7, w1 = 9711.791, w2 = 9506.869, dw = -0.12419, nw = 1651 Venus_day.0024.ec.fits: ap = 8, w1 = 9549.944, w2 = 9348.435, dw = -0.12213, nw = 1651 Venus_day.0024.ec.fits: ap = 9, w1 = 9393.403, w2 = 9195.195, dw = -0.12013, nw = 1651 Venus_day.0024.ec.fits: ap = 10, w1 = 9241.912, w2 = 9046.899, dw = -0.11819, nw = 1651 Venus_day.0024.ec.fits: ap = 11, w1 = 9095.229, w2 = 8903.31, dw = -0.11631, nw = 1651 Venus_day.0024.ec.fits: ap = 12, w1 = 8953.13, w2 = 8764.209, dw = -0.1145, nw = 1651 Venus_day.0024.ec.fits: ap = 13, w1 = 8815.403, w2 = 8629.387, dw = -0.11274, nw = 1651 Venus_day.0024.ec.fits: ap = 14, w1 = 8681.849, w2 = 8498.652, dw = -0.11103, nw = 1651 Venus_day.0024.ec.fits: ap = 15, w1 = 8552.282, w2 = 8371.819, dw = -0.10937, nw = 1651 Venus_day.0024.ec.fits: ap = 16, w1 = 8426.525, w2 = 8248.716, dw = -0.10776, nw = 1651 Venus_day.0024.ec.fits: ap = 17, w1 = 8304.413, w2 = 8129.182, dw = -0.1062, nw = 1651 Venus_day.0024.ec.fits: ap = 18, w1 = 8185.79, w2 = 8013.063, dw = -0.10468, nw = 1651 Venus_day.0024.ec.fits: ap = 19, w1 = 8070.509, w2 = 7900.215, dw = -0.10321, nw = 1651 Venus_day.0024.ec.fits: ap = 20, w1 = 7958.429, w2 = 7790.501, dw = -0.10177, nw = 1651 Venus_day.0024.ec.fits: ap = 21, w1 = 7849.42, w2 = 7683.794, dw = -0.10038, nw = 1651 Venus_day.0024.ec.fits: ap = 22, w1 = 7743.357, w2 = 7579.971, dw = -0.09902, nw = 1651 Venus_day.0024.ec.fits: ap = 23, w1 = 7640.122, w2 = 7478.916, dw = -0.0977, nw = 1651 Venus_day.0024.ec.fits: ap = 24, w1 = 7539.604, w2 = 7380.521, dw = -0.09641, nw = 1651 Venus_day.0024.ec.fits: ap = 25, w1 = 7441.697, w2 = 7284.681, dw = -0.09516, nw = 1651 Venus_day.0024.ec.fits: ap = 26, w1 = 7346.3, w2 = 7191.299, dw = -0.09394, nw = 1651 Venus_day.0024.ec.fits: ap = 27, w1 = 7253.318, w2 = 7100.281, dw = -0.09275, nw = 1651 Venus_day.0024.ec.fits: ap = 28, w1 = 7162.661, w2 = 7011.539, dw = -0.09159, nw = 1651 Venus_day.0024.ec.fits: ap = 29, w1 = 7074.242, w2 = 6924.988, dw = -0.09046, nw = 1651 Venus_day.0024.ec.fits: ap = 30, w1 = 6987.98, w2 = 6840.548, dw = -0.08935, nw = 1651 Venus_day.0024.ec.fits: ap = 31, w1 = 6903.796, w2 = 6758.142, dw = -0.08827, nw = 1651 Venus_day.0024.ec.fits: ap = 32, w1 = 6821.616, w2 = 6677.699, dw = -0.08722, nw = 1651 Venus_day.0024.ec.fits: ap = 33, w1 = 6741.371, w2 = 6599.148, dw = -0.0862, nw = 1651 Venus_day.0024.ec.fits: ap = 34, w1 = 6662.991, w2 = 6522.425, dw = -0.08519, nw = 1651 Venus_day.0024.ec.fits: ap = 35, w1 = 6586.413, w2 = 6447.465, dw = -0.08421, nw = 1651 Venus_day.0024.ec.fits: ap = 36, w1 = 6511.576, w2 = 6374.209, dw = -0.08325, nw = 1651 Venus_day.0024.ec.fits: ap = 37, w1 = 6438.421, w2 = 6302.599, dw = -0.08232, nw = 1651 Venus_day.0024.ec.fits: ap = 38, w1 = 6366.891, w2 = 6232.58, dw = -0.0814, nw = 1651 Venus_day.0024.ec.fits: ap = 39, w1 = 6296.933, w2 = 6164.101, dw = -0.0805, nw = 1651 Venus_day.0024.ec.fits: ap = 40, w1 = 6228.496, w2 = 6097.11, dw = -0.07963, nw = 1651 Venus_day.0024.ec.fits: ap = 41, w1 = 6161.531, w2 = 6031.56, dw = -0.07877, nw = 1651 Venus_day.0024.ec.fits: ap = 42, w1 = 6095.991, w2 = 5967.404, dw = -0.07793, nw = 1651 Venus_day.0024.ec.fits: ap = 43, w1 = 6031.831, w2 = 5904.599, dw = -0.07711, nw = 1651 Venus_day.0024.ec.fits: ap = 44, w1 = 5969.007, w2 = 5843.103, dw = -0.07631, nw = 1651 Venus_day.0024.ec.fits: ap = 45, w1 = 5907.479, w2 = 5782.875, dw = -0.07552, nw = 1651 Venus_day.0024.ec.fits: ap = 46, w1 = 5847.206, w2 = 5723.876, dw = -0.07475, nw = 1651 Venus_day.0024.ec.fits: ap = 47, w1 = 5788.152, w2 = 5666.069, dw = -0.07399, nw = 1651 Venus_day.0024.ec.fits: ap = 48, w1 = 5730.278, w2 = 5609.418, dw = -0.07325, nw = 1651 Venus_day.0024.ec.fits: ap = 49, w1 = 5673.55, w2 = 5553.889, dw = -0.07252, nw = 1651 Venus_day.0024.ec.fits: ap = 50, w1 = 5617.935, w2 = 5499.449, dw = -0.07181, nw = 1651 Venus_day.0024.ec.fits: ap = 51, w1 = 5563.4, w2 = 5446.066, dw = -0.07111, nw = 1651 Venus_day.0024.ec.fits: ap = 52, w1 = 5509.914, w2 = 5393.71, dw = -0.07043, nw = 1651 Venus_day.0024.ec.fits: ap = 53, w1 = 5457.446, w2 = 5342.351, dw = -0.06975, nw = 1651 Venus_day.0024.ec.fits: ap = 54, w1 = 5405.969, w2 = 5291.961, dw = -0.0691, nw = 1651 Venus_day.0024.ec.fits: ap = 55, w1 = 5355.453, w2 = 5242.514, dw = -0.06845, nw = 1651 Venus_day.0024.ec.fits: ap = 56, w1 = 5305.874, w2 = 5193.982, dw = -0.06781, nw = 1651 Venus_day.0024.ec.fits: ap = 57, w1 = 5257.204, w2 = 5146.34, dw = -0.06719, nw = 1651 Venus_day.0024.ec.fits: ap = 58, w1 = 5209.419, w2 = 5099.565, dw = -0.06658, nw = 1651 Venus_day.0024.ec.fits: ap = 59, w1 = 5162.495, w2 = 5053.633, dw = -0.06598, nw = 1651 Venus_day.0024.ec.fits: ap = 60, w1 = 5116.409, w2 = 5008.521, dw = -0.06539, nw = 1651 Venus_day.0024.ec.fits: ap = 61, w1 = 5071.139, w2 = 4964.208, dw = -0.06481, nw = 1651 Venus_day.0024.ec.fits: ap = 62, w1 = 5026.663, w2 = 4920.672, dw = -0.06424, nw = 1651 Venus_day.0024.ec.fits: ap = 63, w1 = 4982.961, w2 = 4877.894, dw = -0.06368, nw = 1651 Venus_day.0024.ec.fits: ap = 64, w1 = 4940.012, w2 = 4835.853, dw = -0.06313, nw = 1651 Venus_day.0024.ec.fits: ap = 65, w1 = 4897.798, w2 = 4794.531, dw = -0.06259, nw = 1651 Venus_day.0024.ec.fits: ap = 66, w1 = 4856.299, w2 = 4753.91, dw = -0.06205, nw = 1651 Venus_day.0024.ec.fits: ap = 67, w1 = 4815.497, w2 = 4713.971, dw = -0.06153, nw = 1651 Venus_day.0024.ec.fits: ap = 68, w1 = 4775.376, w2 = 4674.699, dw = -0.06102, nw = 1651 Venus_day.0024.ec.fits: ap = 69, w1 = 4735.918, w2 = 4636.075, dw = -0.06051, nw = 1651 Venus_day.0024.ec.fits: ap = 70, w1 = 4697.107, w2 = 4598.085, dw = -0.06001, nw = 1651 Venus_day.0024.ec.fits: ap = 71, w1 = 4658.926, w2 = 4560.713, dw = -0.05952, nw = 1651 Venus_day.0024.ec.fits: ap = 72, w1 = 4621.362, w2 = 4523.944, dw = -0.05904, nw = 1651 Venus_day.0024.ec.fits: ap = 73, w1 = 4584.399, w2 = 4487.763, dw = -0.05857, nw = 1651 Venus_day.0024.ec.fits: ap = 74, w1 = 4548.022, w2 = 4452.156, dw = -0.0581, nw = 1651 Venus_day.0024.ec.fits: ap = 75, w1 = 4512.219, w2 = 4417.111, dw = -0.05764, nw = 1651 Venus_day.0024.ec.fits: ap = 76, w1 = 4476.974, w2 = 4382.613, dw = -0.05719, nw = 1651 Venus_day.0024.ec.fits: ap = 77, w1 = 4442.277, w2 = 4348.651, dw = -0.05674, nw = 1651 Venus_day.0024.ec.fits: ap = 78, w1 = 4408.113, w2 = 4315.211, dw = -0.0563, nw = 1651 Venus_day.0024.ec.fits: ap = 79, w1 = 4374.47, w2 = 4282.282, dw = -0.05587, nw = 1651 Venus_day.0024.ec.fits: ap = 80, w1 = 4341.338, w2 = 4249.852, dw = -0.05545, nw = 1651 Venus_day.0024.ec.fits: ap = 81, w1 = 4308.703, w2 = 4217.91, dw = -0.05503, nw = 1651 Venus_day.0024.ec.fits: ap = 82, w1 = 4276.556, w2 = 4186.445, dw = -0.05461, nw = 1651 Venus_day.0024.ec.fits: ap = 83, w1 = 4244.885, w2 = 4155.446, dw = -0.05421, nw = 1651 Venus_day.0024.ec.fits: ap = 84, w1 = 4213.68, w2 = 4124.904, dw = -0.0538, nw = 1651 Venus_day.0024.ec.fits: ap = 85, w1 = 4182.93, w2 = 4094.807, dw = -0.05341, nw = 1651 Venus_day.0024.ec.fits: ap = 86, w1 = 4152.626, w2 = 4065.147, dw = -0.05302, nw = 1651 Venus_day.0024.ec.fits: ap = 87, w1 = 4122.758, w2 = 4035.914, dw = -0.05263, nw = 1651 Venus_day.0024.ec.fits: ap = 88, w1 = 4093.316, w2 = 4007.099, dw = -0.05225, nw = 1651 Venus_day.0024.ec.fits: ap = 89, w1 = 4064.292, w2 = 3978.693, dw = -0.05188, nw = 1651 Venus_day.0024.ec.fits: ap = 90, w1 = 4035.677, w2 = 3950.687, dw = -0.05151, nw = 1651 Venus_day.0024.ec.fits: ap = 91, w1 = 4007.462, w2 = 3923.073, dw = -0.05114, nw = 1651 Venus_day.0024.ec.fits: ap = 92, w1 = 3979.638, w2 = 3895.843, dw = -0.05078, nw = 1651 Venus_day.0024.ec.fits: ap = 93, w1 = 3952.199, w2 = 3868.989, dw = -0.05043, nw = 1651 Venus_day.0024.ec.fits: ap = 94, w1 = 3925.135, w2 = 3842.503, dw = -0.05008, nw = 1651 Venus_day.0024.ec.fits: ap = 95, w1 = 3898.439, w2 = 3816.378, dw = -0.04973, nw = 1651 Venus_day.0024.ec.fits: ap = 96, w1 = 3872.104, w2 = 3790.606, dw = -0.04939, nw = 1651 Venus_day.0024.ec.fits: ap = 97, w1 = 3846.123, w2 = 3765.18, dw = -0.04906, nw = 1651 Venus_day.0024.ec.fits: ap = 98, w1 = 3820.487, w2 = 3740.094, dw = -0.04872, nw = 1651 Venus_day.0024.ec.fits: ap = 99, w1 = 3795.191, w2 = 3715.34, dw = -0.04839, nw = 1651 Venus_day.0024.ec.fits: ap = 100, w1 = 3770.228, w2 = 3690.913, dw = -0.04807, nw = 1651 Venus_day.0024.ec.fits: ap = 101, w1 = 3745.591, w2 = 3666.805, dw = -0.04775, nw = 1651 Venus_day.0024.ec.fits: ap = 102, w1 = 3721.274, w2 = 3643.01, dw = -0.04743, nw = 1651 Venus_day.0024.ec.fits: ap = 103, w1 = 3697.271, w2 = 3619.523, dw = -0.04712, nw = 1651 Venus_day.0024.ec.fits: ap = 104, w1 = 3673.575, w2 = 3596.337, dw = -0.04681, nw = 1651 Venus_day.0024.ec.fits: ap = 105, w1 = 3650.181, w2 = 3573.447, dw = -0.04651, nw = 1651 Venus_day.0024.ec.fits: ap = 106, w1 = 3627.082, w2 = 3550.847, dw = -0.0462, nw = 1651 Venus_day.0024.ec.fits: ap = 107, w1 = 3604.274, w2 = 3528.532, dw = -0.0459, nw = 1651 Venus_day.0024.ec.fits: ap = 108, w1 = 3581.751, w2 = 3506.496, dw = -0.04561, nw = 1651 Venus_day.0024.ec.fits: ap = 109, w1 = 3559.508, w2 = 3484.735, dw = -0.04532, nw = 1651 Venus_day.0024.ec.fits: ap = 110, w1 = 3537.539, w2 = 3463.242, dw = -0.04503, nw = 1651 Venus_day.0024.ec.fits: ap = 111, w1 = 3515.84, w2 = 3442.014, dw = -0.04474, nw = 1651 Venus_day.0024.ec.fits: ap = 112, w1 = 3494.404, w2 = 3421.044, dw = -0.04446, nw = 1651 Venus_day.0024.ec.fits: ap = 113, w1 = 3473.229, w2 = 3400.33, dw = -0.04418, nw = 1651 Venus_day.0024.ec.fits: ap = 114, w1 = 3452.308, w2 = 3379.865, dw = -0.0439, nw = 1651 Venus_day.0024.ec.fits: ap = 115, w1 = 3431.638, w2 = 3359.646, dw = -0.04363, nw = 1651 Venus_day.0025.ec.fits: REFSPEC1 = 'ThAr.0015.ec 1.' Venus_day.0025.ec.fits: ap = 1, w1 = 10811.12, w2 = 10583.03, dw = -0.13823, nw = 1651 Venus_day.0025.ec.fits: ap = 2, w1 = 10610.93, w2 = 10387.06, dw = -0.13568, nw = 1651 Venus_day.0025.ec.fits: ap = 3, w1 = 10418.03, w2 = 10198.22, dw = -0.13322, nw = 1651 Venus_day.0025.ec.fits: ap = 4, w1 = 10232.01, w2 = 10016.12, dw = -0.13084, nw = 1651 Venus_day.0025.ec.fits: ap = 5, w1 = 10052.52, w2 = 9840.416, dw = -0.12855, nw = 1651 Venus_day.0025.ec.fits: ap = 6, w1 = 9879.219, w2 = 9670.767, dw = -0.12633, nw = 1651 Venus_day.0025.ec.fits: ap = 7, w1 = 9711.791, w2 = 9506.869, dw = -0.12419, nw = 1651 Venus_day.0025.ec.fits: ap = 8, w1 = 9549.944, w2 = 9348.435, dw = -0.12213, nw = 1651 Venus_day.0025.ec.fits: ap = 9, w1 = 9393.403, w2 = 9195.195, dw = -0.12013, nw = 1651 Venus_day.0025.ec.fits: ap = 10, w1 = 9241.912, w2 = 9046.899, dw = -0.11819, nw = 1651 Venus_day.0025.ec.fits: ap = 11, w1 = 9095.229, w2 = 8903.31, dw = -0.11631, nw = 1651 Venus_day.0025.ec.fits: ap = 12, w1 = 8953.13, w2 = 8764.209, dw = -0.1145, nw = 1651 Venus_day.0025.ec.fits: ap = 13, w1 = 8815.403, w2 = 8629.387, dw = -0.11274, nw = 1651 Venus_day.0025.ec.fits: ap = 14, w1 = 8681.849, w2 = 8498.652, dw = -0.11103, nw = 1651 Venus_day.0025.ec.fits: ap = 15, w1 = 8552.282, w2 = 8371.819, dw = -0.10937, nw = 1651 Venus_day.0025.ec.fits: ap = 16, w1 = 8426.525, w2 = 8248.716, dw = -0.10776, nw = 1651 Venus_day.0025.ec.fits: ap = 17, w1 = 8304.413, w2 = 8129.182, dw = -0.1062, nw = 1651 Venus_day.0025.ec.fits: ap = 18, w1 = 8185.79, w2 = 8013.063, dw = -0.10468, nw = 1651 Venus_day.0025.ec.fits: ap = 19, w1 = 8070.509, w2 = 7900.215, dw = -0.10321, nw = 1651 Venus_day.0025.ec.fits: ap = 20, w1 = 7958.429, w2 = 7790.501, dw = -0.10177, nw = 1651 Venus_day.0025.ec.fits: ap = 21, w1 = 7849.42, w2 = 7683.794, dw = -0.10038, nw = 1651 Venus_day.0025.ec.fits: ap = 22, w1 = 7743.357, w2 = 7579.971, dw = -0.09902, nw = 1651 Venus_day.0025.ec.fits: ap = 23, w1 = 7640.122, w2 = 7478.916, dw = -0.0977, nw = 1651 Venus_day.0025.ec.fits: ap = 24, w1 = 7539.604, w2 = 7380.521, dw = -0.09641, nw = 1651 Venus_day.0025.ec.fits: ap = 25, w1 = 7441.697, w2 = 7284.681, dw = -0.09516, nw = 1651 Venus_day.0025.ec.fits: ap = 26, w1 = 7346.3, w2 = 7191.299, dw = -0.09394, nw = 1651 Venus_day.0025.ec.fits: ap = 27, w1 = 7253.318, w2 = 7100.281, dw = -0.09275, nw = 1651 Venus_day.0025.ec.fits: ap = 28, w1 = 7162.661, w2 = 7011.539, dw = -0.09159, nw = 1651 Venus_day.0025.ec.fits: ap = 29, w1 = 7074.242, w2 = 6924.988, dw = -0.09046, nw = 1651 Venus_day.0025.ec.fits: ap = 30, w1 = 6987.98, w2 = 6840.548, dw = -0.08935, nw = 1651 Venus_day.0025.ec.fits: ap = 31, w1 = 6903.796, w2 = 6758.142, dw = -0.08827, nw = 1651 Venus_day.0025.ec.fits: ap = 32, w1 = 6821.616, w2 = 6677.699, dw = -0.08722, nw = 1651 Venus_day.0025.ec.fits: ap = 33, w1 = 6741.371, w2 = 6599.148, dw = -0.0862, nw = 1651 Venus_day.0025.ec.fits: ap = 34, w1 = 6662.991, w2 = 6522.425, dw = -0.08519, nw = 1651 Venus_day.0025.ec.fits: ap = 35, w1 = 6586.413, w2 = 6447.465, dw = -0.08421, nw = 1651 Venus_day.0025.ec.fits: ap = 36, w1 = 6511.576, w2 = 6374.209, dw = -0.08325, nw = 1651 Venus_day.0025.ec.fits: ap = 37, w1 = 6438.421, w2 = 6302.599, dw = -0.08232, nw = 1651 Venus_day.0025.ec.fits: ap = 38, w1 = 6366.891, w2 = 6232.58, dw = -0.0814, nw = 1651 Venus_day.0025.ec.fits: ap = 39, w1 = 6296.933, w2 = 6164.101, dw = -0.0805, nw = 1651 Venus_day.0025.ec.fits: ap = 40, w1 = 6228.496, w2 = 6097.11, dw = -0.07963, nw = 1651 Venus_day.0025.ec.fits: ap = 41, w1 = 6161.531, w2 = 6031.56, dw = -0.07877, nw = 1651 Venus_day.0025.ec.fits: ap = 42, w1 = 6095.991, w2 = 5967.404, dw = -0.07793, nw = 1651 Venus_day.0025.ec.fits: ap = 43, w1 = 6031.831, w2 = 5904.599, dw = -0.07711, nw = 1651 Venus_day.0025.ec.fits: ap = 44, w1 = 5969.007, w2 = 5843.103, dw = -0.07631, nw = 1651 Venus_day.0025.ec.fits: ap = 45, w1 = 5907.479, w2 = 5782.875, dw = -0.07552, nw = 1651 Venus_day.0025.ec.fits: ap = 46, w1 = 5847.206, w2 = 5723.876, dw = -0.07475, nw = 1651 Venus_day.0025.ec.fits: ap = 47, w1 = 5788.152, w2 = 5666.069, dw = -0.07399, nw = 1651 Venus_day.0025.ec.fits: ap = 48, w1 = 5730.278, w2 = 5609.418, dw = -0.07325, nw = 1651 Venus_day.0025.ec.fits: ap = 49, w1 = 5673.55, w2 = 5553.889, dw = -0.07252, nw = 1651 Venus_day.0025.ec.fits: ap = 50, w1 = 5617.935, w2 = 5499.449, dw = -0.07181, nw = 1651 Venus_day.0025.ec.fits: ap = 51, w1 = 5563.4, w2 = 5446.066, dw = -0.07111, nw = 1651 Venus_day.0025.ec.fits: ap = 52, w1 = 5509.914, w2 = 5393.71, dw = -0.07043, nw = 1651 Venus_day.0025.ec.fits: ap = 53, w1 = 5457.446, w2 = 5342.351, dw = -0.06975, nw = 1651 Venus_day.0025.ec.fits: ap = 54, w1 = 5405.969, w2 = 5291.961, dw = -0.0691, nw = 1651 Venus_day.0025.ec.fits: ap = 55, w1 = 5355.453, w2 = 5242.514, dw = -0.06845, nw = 1651 Venus_day.0025.ec.fits: ap = 56, w1 = 5305.874, w2 = 5193.982, dw = -0.06781, nw = 1651 Venus_day.0025.ec.fits: ap = 57, w1 = 5257.204, w2 = 5146.34, dw = -0.06719, nw = 1651 Venus_day.0025.ec.fits: ap = 58, w1 = 5209.419, w2 = 5099.565, dw = -0.06658, nw = 1651 Venus_day.0025.ec.fits: ap = 59, w1 = 5162.495, w2 = 5053.633, dw = -0.06598, nw = 1651 Venus_day.0025.ec.fits: ap = 60, w1 = 5116.409, w2 = 5008.521, dw = -0.06539, nw = 1651 Venus_day.0025.ec.fits: ap = 61, w1 = 5071.139, w2 = 4964.208, dw = -0.06481, nw = 1651 Venus_day.0025.ec.fits: ap = 62, w1 = 5026.663, w2 = 4920.672, dw = -0.06424, nw = 1651 Venus_day.0025.ec.fits: ap = 63, w1 = 4982.961, w2 = 4877.894, dw = -0.06368, nw = 1651 Venus_day.0025.ec.fits: ap = 64, w1 = 4940.012, w2 = 4835.853, dw = -0.06313, nw = 1651 Venus_day.0025.ec.fits: ap = 65, w1 = 4897.798, w2 = 4794.531, dw = -0.06259, nw = 1651 Venus_day.0025.ec.fits: ap = 66, w1 = 4856.299, w2 = 4753.91, dw = -0.06205, nw = 1651 Venus_day.0025.ec.fits: ap = 67, w1 = 4815.497, w2 = 4713.971, dw = -0.06153, nw = 1651 Venus_day.0025.ec.fits: ap = 68, w1 = 4775.376, w2 = 4674.699, dw = -0.06102, nw = 1651 Venus_day.0025.ec.fits: ap = 69, w1 = 4735.918, w2 = 4636.075, dw = -0.06051, nw = 1651 Venus_day.0025.ec.fits: ap = 70, w1 = 4697.107, w2 = 4598.085, dw = -0.06001, nw = 1651 Venus_day.0025.ec.fits: ap = 71, w1 = 4658.926, w2 = 4560.713, dw = -0.05952, nw = 1651 Venus_day.0025.ec.fits: ap = 72, w1 = 4621.362, w2 = 4523.944, dw = -0.05904, nw = 1651 Venus_day.0025.ec.fits: ap = 73, w1 = 4584.399, w2 = 4487.763, dw = -0.05857, nw = 1651 Venus_day.0025.ec.fits: ap = 74, w1 = 4548.022, w2 = 4452.156, dw = -0.0581, nw = 1651 Venus_day.0025.ec.fits: ap = 75, w1 = 4512.219, w2 = 4417.111, dw = -0.05764, nw = 1651 Venus_day.0025.ec.fits: ap = 76, w1 = 4476.974, w2 = 4382.613, dw = -0.05719, nw = 1651 Venus_day.0025.ec.fits: ap = 77, w1 = 4442.277, w2 = 4348.651, dw = -0.05674, nw = 1651 Venus_day.0025.ec.fits: ap = 78, w1 = 4408.113, w2 = 4315.211, dw = -0.0563, nw = 1651 Venus_day.0025.ec.fits: ap = 79, w1 = 4374.47, w2 = 4282.282, dw = -0.05587, nw = 1651 Venus_day.0025.ec.fits: ap = 80, w1 = 4341.338, w2 = 4249.852, dw = -0.05545, nw = 1651 Venus_day.0025.ec.fits: ap = 81, w1 = 4308.703, w2 = 4217.91, dw = -0.05503, nw = 1651 Venus_day.0025.ec.fits: ap = 82, w1 = 4276.556, w2 = 4186.445, dw = -0.05461, nw = 1651 Venus_day.0025.ec.fits: ap = 83, w1 = 4244.885, w2 = 4155.446, dw = -0.05421, nw = 1651 Venus_day.0025.ec.fits: ap = 84, w1 = 4213.68, w2 = 4124.904, dw = -0.0538, nw = 1651 Venus_day.0025.ec.fits: ap = 85, w1 = 4182.93, w2 = 4094.807, dw = -0.05341, nw = 1651 Venus_day.0025.ec.fits: ap = 86, w1 = 4152.626, w2 = 4065.147, dw = -0.05302, nw = 1651 Venus_day.0025.ec.fits: ap = 87, w1 = 4122.758, w2 = 4035.914, dw = -0.05263, nw = 1651 Venus_day.0025.ec.fits: ap = 88, w1 = 4093.316, w2 = 4007.099, dw = -0.05225, nw = 1651 Venus_day.0025.ec.fits: ap = 89, w1 = 4064.292, w2 = 3978.693, dw = -0.05188, nw = 1651 Venus_day.0025.ec.fits: ap = 90, w1 = 4035.677, w2 = 3950.687, dw = -0.05151, nw = 1651 Venus_day.0025.ec.fits: ap = 91, w1 = 4007.462, w2 = 3923.073, dw = -0.05114, nw = 1651 Venus_day.0025.ec.fits: ap = 92, w1 = 3979.638, w2 = 3895.843, dw = -0.05078, nw = 1651 Venus_day.0025.ec.fits: ap = 93, w1 = 3952.199, w2 = 3868.989, dw = -0.05043, nw = 1651 Venus_day.0025.ec.fits: ap = 94, w1 = 3925.135, w2 = 3842.503, dw = -0.05008, nw = 1651 Venus_day.0025.ec.fits: ap = 95, w1 = 3898.439, w2 = 3816.378, dw = -0.04973, nw = 1651 Venus_day.0025.ec.fits: ap = 96, w1 = 3872.104, w2 = 3790.606, dw = -0.04939, nw = 1651 Venus_day.0025.ec.fits: ap = 97, w1 = 3846.123, w2 = 3765.18, dw = -0.04906, nw = 1651 Venus_day.0025.ec.fits: ap = 98, w1 = 3820.487, w2 = 3740.094, dw = -0.04872, nw = 1651 Venus_day.0025.ec.fits: ap = 99, w1 = 3795.191, w2 = 3715.34, dw = -0.04839, nw = 1651 Venus_day.0025.ec.fits: ap = 100, w1 = 3770.228, w2 = 3690.913, dw = -0.04807, nw = 1651 Venus_day.0025.ec.fits: ap = 101, w1 = 3745.591, w2 = 3666.805, dw = -0.04775, nw = 1651 Venus_day.0025.ec.fits: ap = 102, w1 = 3721.274, w2 = 3643.01, dw = -0.04743, nw = 1651 Venus_day.0025.ec.fits: ap = 103, w1 = 3697.271, w2 = 3619.523, dw = -0.04712, nw = 1651 Venus_day.0025.ec.fits: ap = 104, w1 = 3673.575, w2 = 3596.337, dw = -0.04681, nw = 1651 Venus_day.0025.ec.fits: ap = 105, w1 = 3650.181, w2 = 3573.447, dw = -0.04651, nw = 1651 Venus_day.0025.ec.fits: ap = 106, w1 = 3627.082, w2 = 3550.847, dw = -0.0462, nw = 1651 Venus_day.0025.ec.fits: ap = 107, w1 = 3604.274, w2 = 3528.532, dw = -0.0459, nw = 1651 Venus_day.0025.ec.fits: ap = 108, w1 = 3581.751, w2 = 3506.496, dw = -0.04561, nw = 1651 Venus_day.0025.ec.fits: ap = 109, w1 = 3559.508, w2 = 3484.735, dw = -0.04532, nw = 1651 Venus_day.0025.ec.fits: ap = 110, w1 = 3537.539, w2 = 3463.242, dw = -0.04503, nw = 1651 Venus_day.0025.ec.fits: ap = 111, w1 = 3515.84, w2 = 3442.014, dw = -0.04474, nw = 1651 Venus_day.0025.ec.fits: ap = 112, w1 = 3494.404, w2 = 3421.044, dw = -0.04446, nw = 1651 Venus_day.0025.ec.fits: ap = 113, w1 = 3473.229, w2 = 3400.33, dw = -0.04418, nw = 1651 Venus_day.0025.ec.fits: ap = 114, w1 = 3452.308, w2 = 3379.865, dw = -0.0439, nw = 1651 Venus_day.0025.ec.fits: ap = 115, w1 = 3431.638, w2 = 3359.646, dw = -0.04363, nw = 1651 Venus_day.0027.ec.fits: REFSPEC1 = 'ThAr.0015.ec 1.' Venus_day.0027.ec.fits: ap = 1, w1 = 10811.12, w2 = 10583.03, dw = -0.13823, nw = 1651 Venus_day.0027.ec.fits: ap = 2, w1 = 10610.93, w2 = 10387.06, dw = -0.13568, nw = 1651 Venus_day.0027.ec.fits: ap = 3, w1 = 10418.03, w2 = 10198.22, dw = -0.13322, nw = 1651 Venus_day.0027.ec.fits: ap = 4, w1 = 10232.01, w2 = 10016.12, dw = -0.13084, nw = 1651 Venus_day.0027.ec.fits: ap = 5, w1 = 10052.52, w2 = 9840.416, dw = -0.12855, nw = 1651 Venus_day.0027.ec.fits: ap = 6, w1 = 9879.219, w2 = 9670.767, dw = -0.12633, nw = 1651 Venus_day.0027.ec.fits: ap = 7, w1 = 9711.791, w2 = 9506.869, dw = -0.12419, nw = 1651 Venus_day.0027.ec.fits: ap = 8, w1 = 9549.944, w2 = 9348.435, dw = -0.12213, nw = 1651 Venus_day.0027.ec.fits: ap = 9, w1 = 9393.403, w2 = 9195.195, dw = -0.12013, nw = 1651 Venus_day.0027.ec.fits: ap = 10, w1 = 9241.912, w2 = 9046.899, dw = -0.11819, nw = 1651 Venus_day.0027.ec.fits: ap = 11, w1 = 9095.229, w2 = 8903.31, dw = -0.11631, nw = 1651 Venus_day.0027.ec.fits: ap = 12, w1 = 8953.13, w2 = 8764.209, dw = -0.1145, nw = 1651 Venus_day.0027.ec.fits: ap = 13, w1 = 8815.403, w2 = 8629.387, dw = -0.11274, nw = 1651 Venus_day.0027.ec.fits: ap = 14, w1 = 8681.849, w2 = 8498.652, dw = -0.11103, nw = 1651 Venus_day.0027.ec.fits: ap = 15, w1 = 8552.282, w2 = 8371.819, dw = -0.10937, nw = 1651 Venus_day.0027.ec.fits: ap = 16, w1 = 8426.525, w2 = 8248.716, dw = -0.10776, nw = 1651 Venus_day.0027.ec.fits: ap = 17, w1 = 8304.413, w2 = 8129.182, dw = -0.1062, nw = 1651 Venus_day.0027.ec.fits: ap = 18, w1 = 8185.79, w2 = 8013.063, dw = -0.10468, nw = 1651 Venus_day.0027.ec.fits: ap = 19, w1 = 8070.509, w2 = 7900.215, dw = -0.10321, nw = 1651 Venus_day.0027.ec.fits: ap = 20, w1 = 7958.429, w2 = 7790.501, dw = -0.10177, nw = 1651 Venus_day.0027.ec.fits: ap = 21, w1 = 7849.42, w2 = 7683.794, dw = -0.10038, nw = 1651 Venus_day.0027.ec.fits: ap = 22, w1 = 7743.357, w2 = 7579.971, dw = -0.09902, nw = 1651 Venus_day.0027.ec.fits: ap = 23, w1 = 7640.122, w2 = 7478.916, dw = -0.0977, nw = 1651 Venus_day.0027.ec.fits: ap = 24, w1 = 7539.604, w2 = 7380.521, dw = -0.09641, nw = 1651 Venus_day.0027.ec.fits: ap = 25, w1 = 7441.697, w2 = 7284.681, dw = -0.09516, nw = 1651 Venus_day.0027.ec.fits: ap = 26, w1 = 7346.3, w2 = 7191.299, dw = -0.09394, nw = 1651 Venus_day.0027.ec.fits: ap = 27, w1 = 7253.318, w2 = 7100.281, dw = -0.09275, nw = 1651 Venus_day.0027.ec.fits: ap = 28, w1 = 7162.661, w2 = 7011.539, dw = -0.09159, nw = 1651 Venus_day.0027.ec.fits: ap = 29, w1 = 7074.242, w2 = 6924.988, dw = -0.09046, nw = 1651 Venus_day.0027.ec.fits: ap = 30, w1 = 6987.98, w2 = 6840.548, dw = -0.08935, nw = 1651 Venus_day.0027.ec.fits: ap = 31, w1 = 6903.796, w2 = 6758.142, dw = -0.08827, nw = 1651 Venus_day.0027.ec.fits: ap = 32, w1 = 6821.616, w2 = 6677.699, dw = -0.08722, nw = 1651 Venus_day.0027.ec.fits: ap = 33, w1 = 6741.371, w2 = 6599.148, dw = -0.0862, nw = 1651 Venus_day.0027.ec.fits: ap = 34, w1 = 6662.991, w2 = 6522.425, dw = -0.08519, nw = 1651 Venus_day.0027.ec.fits: ap = 35, w1 = 6586.413, w2 = 6447.465, dw = -0.08421, nw = 1651 Venus_day.0027.ec.fits: ap = 36, w1 = 6511.576, w2 = 6374.209, dw = -0.08325, nw = 1651 Venus_day.0027.ec.fits: ap = 37, w1 = 6438.421, w2 = 6302.599, dw = -0.08232, nw = 1651 Venus_day.0027.ec.fits: ap = 38, w1 = 6366.891, w2 = 6232.58, dw = -0.0814, nw = 1651 Venus_day.0027.ec.fits: ap = 39, w1 = 6296.933, w2 = 6164.101, dw = -0.0805, nw = 1651 Venus_day.0027.ec.fits: ap = 40, w1 = 6228.496, w2 = 6097.11, dw = -0.07963, nw = 1651 Venus_day.0027.ec.fits: ap = 41, w1 = 6161.531, w2 = 6031.56, dw = -0.07877, nw = 1651 Venus_day.0027.ec.fits: ap = 42, w1 = 6095.991, w2 = 5967.404, dw = -0.07793, nw = 1651 Venus_day.0027.ec.fits: ap = 43, w1 = 6031.831, w2 = 5904.599, dw = -0.07711, nw = 1651 Venus_day.0027.ec.fits: ap = 44, w1 = 5969.007, w2 = 5843.103, dw = -0.07631, nw = 1651 Venus_day.0027.ec.fits: ap = 45, w1 = 5907.479, w2 = 5782.875, dw = -0.07552, nw = 1651 Venus_day.0027.ec.fits: ap = 46, w1 = 5847.206, w2 = 5723.876, dw = -0.07475, nw = 1651 Venus_day.0027.ec.fits: ap = 47, w1 = 5788.152, w2 = 5666.069, dw = -0.07399, nw = 1651 Venus_day.0027.ec.fits: ap = 48, w1 = 5730.278, w2 = 5609.418, dw = -0.07325, nw = 1651 Venus_day.0027.ec.fits: ap = 49, w1 = 5673.55, w2 = 5553.889, dw = -0.07252, nw = 1651 Venus_day.0027.ec.fits: ap = 50, w1 = 5617.935, w2 = 5499.449, dw = -0.07181, nw = 1651 Venus_day.0027.ec.fits: ap = 51, w1 = 5563.4, w2 = 5446.066, dw = -0.07111, nw = 1651 Venus_day.0027.ec.fits: ap = 52, w1 = 5509.914, w2 = 5393.71, dw = -0.07043, nw = 1651 Venus_day.0027.ec.fits: ap = 53, w1 = 5457.446, w2 = 5342.351, dw = -0.06975, nw = 1651 Venus_day.0027.ec.fits: ap = 54, w1 = 5405.969, w2 = 5291.961, dw = -0.0691, nw = 1651 Venus_day.0027.ec.fits: ap = 55, w1 = 5355.453, w2 = 5242.514, dw = -0.06845, nw = 1651 Venus_day.0027.ec.fits: ap = 56, w1 = 5305.874, w2 = 5193.982, dw = -0.06781, nw = 1651 Venus_day.0027.ec.fits: ap = 57, w1 = 5257.204, w2 = 5146.34, dw = -0.06719, nw = 1651 Venus_day.0027.ec.fits: ap = 58, w1 = 5209.419, w2 = 5099.565, dw = -0.06658, nw = 1651 Venus_day.0027.ec.fits: ap = 59, w1 = 5162.495, w2 = 5053.633, dw = -0.06598, nw = 1651 Venus_day.0027.ec.fits: ap = 60, w1 = 5116.409, w2 = 5008.521, dw = -0.06539, nw = 1651 Venus_day.0027.ec.fits: ap = 61, w1 = 5071.139, w2 = 4964.208, dw = -0.06481, nw = 1651 Venus_day.0027.ec.fits: ap = 62, w1 = 5026.663, w2 = 4920.672, dw = -0.06424, nw = 1651 Venus_day.0027.ec.fits: ap = 63, w1 = 4982.961, w2 = 4877.894, dw = -0.06368, nw = 1651 Venus_day.0027.ec.fits: ap = 64, w1 = 4940.012, w2 = 4835.853, dw = -0.06313, nw = 1651 Venus_day.0027.ec.fits: ap = 65, w1 = 4897.798, w2 = 4794.531, dw = -0.06259, nw = 1651 Venus_day.0027.ec.fits: ap = 66, w1 = 4856.299, w2 = 4753.91, dw = -0.06205, nw = 1651 Venus_day.0027.ec.fits: ap = 67, w1 = 4815.497, w2 = 4713.971, dw = -0.06153, nw = 1651 Venus_day.0027.ec.fits: ap = 68, w1 = 4775.376, w2 = 4674.699, dw = -0.06102, nw = 1651 Venus_day.0027.ec.fits: ap = 69, w1 = 4735.918, w2 = 4636.075, dw = -0.06051, nw = 1651 Venus_day.0027.ec.fits: ap = 70, w1 = 4697.107, w2 = 4598.085, dw = -0.06001, nw = 1651 Venus_day.0027.ec.fits: ap = 71, w1 = 4658.926, w2 = 4560.713, dw = -0.05952, nw = 1651 Venus_day.0027.ec.fits: ap = 72, w1 = 4621.362, w2 = 4523.944, dw = -0.05904, nw = 1651 Venus_day.0027.ec.fits: ap = 73, w1 = 4584.399, w2 = 4487.763, dw = -0.05857, nw = 1651 Venus_day.0027.ec.fits: ap = 74, w1 = 4548.022, w2 = 4452.156, dw = -0.0581, nw = 1651 Venus_day.0027.ec.fits: ap = 75, w1 = 4512.219, w2 = 4417.111, dw = -0.05764, nw = 1651 Venus_day.0027.ec.fits: ap = 76, w1 = 4476.974, w2 = 4382.613, dw = -0.05719, nw = 1651 Venus_day.0027.ec.fits: ap = 77, w1 = 4442.277, w2 = 4348.651, dw = -0.05674, nw = 1651 Venus_day.0027.ec.fits: ap = 78, w1 = 4408.113, w2 = 4315.211, dw = -0.0563, nw = 1651 Venus_day.0027.ec.fits: ap = 79, w1 = 4374.47, w2 = 4282.282, dw = -0.05587, nw = 1651 Venus_day.0027.ec.fits: ap = 80, w1 = 4341.338, w2 = 4249.852, dw = -0.05545, nw = 1651 Venus_day.0027.ec.fits: ap = 81, w1 = 4308.703, w2 = 4217.91, dw = -0.05503, nw = 1651 Venus_day.0027.ec.fits: ap = 82, w1 = 4276.556, w2 = 4186.445, dw = -0.05461, nw = 1651 Venus_day.0027.ec.fits: ap = 83, w1 = 4244.885, w2 = 4155.446, dw = -0.05421, nw = 1651 Venus_day.0027.ec.fits: ap = 84, w1 = 4213.68, w2 = 4124.904, dw = -0.0538, nw = 1651 Venus_day.0027.ec.fits: ap = 85, w1 = 4182.93, w2 = 4094.807, dw = -0.05341, nw = 1651 Venus_day.0027.ec.fits: ap = 86, w1 = 4152.626, w2 = 4065.147, dw = -0.05302, nw = 1651 Venus_day.0027.ec.fits: ap = 87, w1 = 4122.758, w2 = 4035.914, dw = -0.05263, nw = 1651 Venus_day.0027.ec.fits: ap = 88, w1 = 4093.316, w2 = 4007.099, dw = -0.05225, nw = 1651 Venus_day.0027.ec.fits: ap = 89, w1 = 4064.292, w2 = 3978.693, dw = -0.05188, nw = 1651 Venus_day.0027.ec.fits: ap = 90, w1 = 4035.677, w2 = 3950.687, dw = -0.05151, nw = 1651 Venus_day.0027.ec.fits: ap = 91, w1 = 4007.462, w2 = 3923.073, dw = -0.05114, nw = 1651 Venus_day.0027.ec.fits: ap = 92, w1 = 3979.638, w2 = 3895.843, dw = -0.05078, nw = 1651 Venus_day.0027.ec.fits: ap = 93, w1 = 3952.199, w2 = 3868.989, dw = -0.05043, nw = 1651 Venus_day.0027.ec.fits: ap = 94, w1 = 3925.135, w2 = 3842.503, dw = -0.05008, nw = 1651 Venus_day.0027.ec.fits: ap = 95, w1 = 3898.439, w2 = 3816.378, dw = -0.04973, nw = 1651 Venus_day.0027.ec.fits: ap = 96, w1 = 3872.104, w2 = 3790.606, dw = -0.04939, nw = 1651 Venus_day.0027.ec.fits: ap = 97, w1 = 3846.123, w2 = 3765.18, dw = -0.04906, nw = 1651 Venus_day.0027.ec.fits: ap = 98, w1 = 3820.487, w2 = 3740.094, dw = -0.04872, nw = 1651 Venus_day.0027.ec.fits: ap = 99, w1 = 3795.191, w2 = 3715.34, dw = -0.04839, nw = 1651 Venus_day.0027.ec.fits: ap = 100, w1 = 3770.228, w2 = 3690.913, dw = -0.04807, nw = 1651 Venus_day.0027.ec.fits: ap = 101, w1 = 3745.591, w2 = 3666.805, dw = -0.04775, nw = 1651 Venus_day.0027.ec.fits: ap = 102, w1 = 3721.274, w2 = 3643.01, dw = -0.04743, nw = 1651 Venus_day.0027.ec.fits: ap = 103, w1 = 3697.271, w2 = 3619.523, dw = -0.04712, nw = 1651 Venus_day.0027.ec.fits: ap = 104, w1 = 3673.575, w2 = 3596.337, dw = -0.04681, nw = 1651 Venus_day.0027.ec.fits: ap = 105, w1 = 3650.181, w2 = 3573.447, dw = -0.04651, nw = 1651 Venus_day.0027.ec.fits: ap = 106, w1 = 3627.082, w2 = 3550.847, dw = -0.0462, nw = 1651 Venus_day.0027.ec.fits: ap = 107, w1 = 3604.274, w2 = 3528.532, dw = -0.0459, nw = 1651 Venus_day.0027.ec.fits: ap = 108, w1 = 3581.751, w2 = 3506.496, dw = -0.04561, nw = 1651 Venus_day.0027.ec.fits: ap = 109, w1 = 3559.508, w2 = 3484.735, dw = -0.04532, nw = 1651 Venus_day.0027.ec.fits: ap = 110, w1 = 3537.539, w2 = 3463.242, dw = -0.04503, nw = 1651 Venus_day.0027.ec.fits: ap = 111, w1 = 3515.84, w2 = 3442.014, dw = -0.04474, nw = 1651 Venus_day.0027.ec.fits: ap = 112, w1 = 3494.404, w2 = 3421.044, dw = -0.04446, nw = 1651 Venus_day.0027.ec.fits: ap = 113, w1 = 3473.229, w2 = 3400.33, dw = -0.04418, nw = 1651 Venus_day.0027.ec.fits: ap = 114, w1 = 3452.308, w2 = 3379.865, dw = -0.0439, nw = 1651 Venus_day.0027.ec.fits: ap = 115, w1 = 3431.638, w2 = 3359.646, dw = -0.04363, nw = 1651 Venus_day.0029.ec.fits: REFSPEC1 = 'ThAr.0015.ec 1.' Venus_day.0029.ec.fits: ap = 1, w1 = 10811.12, w2 = 10583.03, dw = -0.13823, nw = 1651 Venus_day.0029.ec.fits: ap = 2, w1 = 10610.93, w2 = 10387.06, dw = -0.13568, nw = 1651 Venus_day.0029.ec.fits: ap = 3, w1 = 10418.03, w2 = 10198.22, dw = -0.13322, nw = 1651 Venus_day.0029.ec.fits: ap = 4, w1 = 10232.01, w2 = 10016.12, dw = -0.13084, nw = 1651 Venus_day.0029.ec.fits: ap = 5, w1 = 10052.52, w2 = 9840.416, dw = -0.12855, nw = 1651 Venus_day.0029.ec.fits: ap = 6, w1 = 9879.219, w2 = 9670.767, dw = -0.12633, nw = 1651 Venus_day.0029.ec.fits: ap = 7, w1 = 9711.791, w2 = 9506.869, dw = -0.12419, nw = 1651 Venus_day.0029.ec.fits: ap = 8, w1 = 9549.944, w2 = 9348.435, dw = -0.12213, nw = 1651 Venus_day.0029.ec.fits: ap = 9, w1 = 9393.403, w2 = 9195.195, dw = -0.12013, nw = 1651 Venus_day.0029.ec.fits: ap = 10, w1 = 9241.912, w2 = 9046.899, dw = -0.11819, nw = 1651 Venus_day.0029.ec.fits: ap = 11, w1 = 9095.229, w2 = 8903.31, dw = -0.11631, nw = 1651 Venus_day.0029.ec.fits: ap = 12, w1 = 8953.13, w2 = 8764.209, dw = -0.1145, nw = 1651 Venus_day.0029.ec.fits: ap = 13, w1 = 8815.403, w2 = 8629.387, dw = -0.11274, nw = 1651 Venus_day.0029.ec.fits: ap = 14, w1 = 8681.849, w2 = 8498.652, dw = -0.11103, nw = 1651 Venus_day.0029.ec.fits: ap = 15, w1 = 8552.282, w2 = 8371.819, dw = -0.10937, nw = 1651 Venus_day.0029.ec.fits: ap = 16, w1 = 8426.525, w2 = 8248.716, dw = -0.10776, nw = 1651 Venus_day.0029.ec.fits: ap = 17, w1 = 8304.413, w2 = 8129.182, dw = -0.1062, nw = 1651 Venus_day.0029.ec.fits: ap = 18, w1 = 8185.79, w2 = 8013.063, dw = -0.10468, nw = 1651 Venus_day.0029.ec.fits: ap = 19, w1 = 8070.509, w2 = 7900.215, dw = -0.10321, nw = 1651 Venus_day.0029.ec.fits: ap = 20, w1 = 7958.429, w2 = 7790.501, dw = -0.10177, nw = 1651 Venus_day.0029.ec.fits: ap = 21, w1 = 7849.42, w2 = 7683.794, dw = -0.10038, nw = 1651 Venus_day.0029.ec.fits: ap = 22, w1 = 7743.357, w2 = 7579.971, dw = -0.09902, nw = 1651 Venus_day.0029.ec.fits: ap = 23, w1 = 7640.122, w2 = 7478.916, dw = -0.0977, nw = 1651 Venus_day.0029.ec.fits: ap = 24, w1 = 7539.604, w2 = 7380.521, dw = -0.09641, nw = 1651 Venus_day.0029.ec.fits: ap = 25, w1 = 7441.697, w2 = 7284.681, dw = -0.09516, nw = 1651 Venus_day.0029.ec.fits: ap = 26, w1 = 7346.3, w2 = 7191.299, dw = -0.09394, nw = 1651 Venus_day.0029.ec.fits: ap = 27, w1 = 7253.318, w2 = 7100.281, dw = -0.09275, nw = 1651 Venus_day.0029.ec.fits: ap = 28, w1 = 7162.661, w2 = 7011.539, dw = -0.09159, nw = 1651 Venus_day.0029.ec.fits: ap = 29, w1 = 7074.242, w2 = 6924.988, dw = -0.09046, nw = 1651 Venus_day.0029.ec.fits: ap = 30, w1 = 6987.98, w2 = 6840.548, dw = -0.08935, nw = 1651 Venus_day.0029.ec.fits: ap = 31, w1 = 6903.796, w2 = 6758.142, dw = -0.08827, nw = 1651 Venus_day.0029.ec.fits: ap = 32, w1 = 6821.616, w2 = 6677.699, dw = -0.08722, nw = 1651 Venus_day.0029.ec.fits: ap = 33, w1 = 6741.371, w2 = 6599.148, dw = -0.0862, nw = 1651 Venus_day.0029.ec.fits: ap = 34, w1 = 6662.991, w2 = 6522.425, dw = -0.08519, nw = 1651 Venus_day.0029.ec.fits: ap = 35, w1 = 6586.413, w2 = 6447.465, dw = -0.08421, nw = 1651 Venus_day.0029.ec.fits: ap = 36, w1 = 6511.576, w2 = 6374.209, dw = -0.08325, nw = 1651 Venus_day.0029.ec.fits: ap = 37, w1 = 6438.421, w2 = 6302.599, dw = -0.08232, nw = 1651 Venus_day.0029.ec.fits: ap = 38, w1 = 6366.891, w2 = 6232.58, dw = -0.0814, nw = 1651 Venus_day.0029.ec.fits: ap = 39, w1 = 6296.933, w2 = 6164.101, dw = -0.0805, nw = 1651 Venus_day.0029.ec.fits: ap = 40, w1 = 6228.496, w2 = 6097.11, dw = -0.07963, nw = 1651 Venus_day.0029.ec.fits: ap = 41, w1 = 6161.531, w2 = 6031.56, dw = -0.07877, nw = 1651 Venus_day.0029.ec.fits: ap = 42, w1 = 6095.991, w2 = 5967.404, dw = -0.07793, nw = 1651 Venus_day.0029.ec.fits: ap = 43, w1 = 6031.831, w2 = 5904.599, dw = -0.07711, nw = 1651 Venus_day.0029.ec.fits: ap = 44, w1 = 5969.007, w2 = 5843.103, dw = -0.07631, nw = 1651 Venus_day.0029.ec.fits: ap = 45, w1 = 5907.479, w2 = 5782.875, dw = -0.07552, nw = 1651 Venus_day.0029.ec.fits: ap = 46, w1 = 5847.206, w2 = 5723.876, dw = -0.07475, nw = 1651 Venus_day.0029.ec.fits: ap = 47, w1 = 5788.152, w2 = 5666.069, dw = -0.07399, nw = 1651 Venus_day.0029.ec.fits: ap = 48, w1 = 5730.278, w2 = 5609.418, dw = -0.07325, nw = 1651 Venus_day.0029.ec.fits: ap = 49, w1 = 5673.55, w2 = 5553.889, dw = -0.07252, nw = 1651 Venus_day.0029.ec.fits: ap = 50, w1 = 5617.935, w2 = 5499.449, dw = -0.07181, nw = 1651 Venus_day.0029.ec.fits: ap = 51, w1 = 5563.4, w2 = 5446.066, dw = -0.07111, nw = 1651 Venus_day.0029.ec.fits: ap = 52, w1 = 5509.914, w2 = 5393.71, dw = -0.07043, nw = 1651 Venus_day.0029.ec.fits: ap = 53, w1 = 5457.446, w2 = 5342.351, dw = -0.06975, nw = 1651 Venus_day.0029.ec.fits: ap = 54, w1 = 5405.969, w2 = 5291.961, dw = -0.0691, nw = 1651 Venus_day.0029.ec.fits: ap = 55, w1 = 5355.453, w2 = 5242.514, dw = -0.06845, nw = 1651 Venus_day.0029.ec.fits: ap = 56, w1 = 5305.874, w2 = 5193.982, dw = -0.06781, nw = 1651 Venus_day.0029.ec.fits: ap = 57, w1 = 5257.204, w2 = 5146.34, dw = -0.06719, nw = 1651 Venus_day.0029.ec.fits: ap = 58, w1 = 5209.419, w2 = 5099.565, dw = -0.06658, nw = 1651 Venus_day.0029.ec.fits: ap = 59, w1 = 5162.495, w2 = 5053.633, dw = -0.06598, nw = 1651 Venus_day.0029.ec.fits: ap = 60, w1 = 5116.409, w2 = 5008.521, dw = -0.06539, nw = 1651 Venus_day.0029.ec.fits: ap = 61, w1 = 5071.139, w2 = 4964.208, dw = -0.06481, nw = 1651 Venus_day.0029.ec.fits: ap = 62, w1 = 5026.663, w2 = 4920.672, dw = -0.06424, nw = 1651 Venus_day.0029.ec.fits: ap = 63, w1 = 4982.961, w2 = 4877.894, dw = -0.06368, nw = 1651 Venus_day.0029.ec.fits: ap = 64, w1 = 4940.012, w2 = 4835.853, dw = -0.06313, nw = 1651 Venus_day.0029.ec.fits: ap = 65, w1 = 4897.798, w2 = 4794.531, dw = -0.06259, nw = 1651 Venus_day.0029.ec.fits: ap = 66, w1 = 4856.299, w2 = 4753.91, dw = -0.06205, nw = 1651 Venus_day.0029.ec.fits: ap = 67, w1 = 4815.497, w2 = 4713.971, dw = -0.06153, nw = 1651 Venus_day.0029.ec.fits: ap = 68, w1 = 4775.376, w2 = 4674.699, dw = -0.06102, nw = 1651 Venus_day.0029.ec.fits: ap = 69, w1 = 4735.918, w2 = 4636.075, dw = -0.06051, nw = 1651 Venus_day.0029.ec.fits: ap = 70, w1 = 4697.107, w2 = 4598.085, dw = -0.06001, nw = 1651 Venus_day.0029.ec.fits: ap = 71, w1 = 4658.926, w2 = 4560.713, dw = -0.05952, nw = 1651 Venus_day.0029.ec.fits: ap = 72, w1 = 4621.362, w2 = 4523.944, dw = -0.05904, nw = 1651 Venus_day.0029.ec.fits: ap = 73, w1 = 4584.399, w2 = 4487.763, dw = -0.05857, nw = 1651 Venus_day.0029.ec.fits: ap = 74, w1 = 4548.022, w2 = 4452.156, dw = -0.0581, nw = 1651 Venus_day.0029.ec.fits: ap = 75, w1 = 4512.219, w2 = 4417.111, dw = -0.05764, nw = 1651 Venus_day.0029.ec.fits: ap = 76, w1 = 4476.974, w2 = 4382.613, dw = -0.05719, nw = 1651 Venus_day.0029.ec.fits: ap = 77, w1 = 4442.277, w2 = 4348.651, dw = -0.05674, nw = 1651 Venus_day.0029.ec.fits: ap = 78, w1 = 4408.113, w2 = 4315.211, dw = -0.0563, nw = 1651 Venus_day.0029.ec.fits: ap = 79, w1 = 4374.47, w2 = 4282.282, dw = -0.05587, nw = 1651 Venus_day.0029.ec.fits: ap = 80, w1 = 4341.338, w2 = 4249.852, dw = -0.05545, nw = 1651 Venus_day.0029.ec.fits: ap = 81, w1 = 4308.703, w2 = 4217.91, dw = -0.05503, nw = 1651 Venus_day.0029.ec.fits: ap = 82, w1 = 4276.556, w2 = 4186.445, dw = -0.05461, nw = 1651 Venus_day.0029.ec.fits: ap = 83, w1 = 4244.885, w2 = 4155.446, dw = -0.05421, nw = 1651 Venus_day.0029.ec.fits: ap = 84, w1 = 4213.68, w2 = 4124.904, dw = -0.0538, nw = 1651 Venus_day.0029.ec.fits: ap = 85, w1 = 4182.93, w2 = 4094.807, dw = -0.05341, nw = 1651 Venus_day.0029.ec.fits: ap = 86, w1 = 4152.626, w2 = 4065.147, dw = -0.05302, nw = 1651 Venus_day.0029.ec.fits: ap = 87, w1 = 4122.758, w2 = 4035.914, dw = -0.05263, nw = 1651 Venus_day.0029.ec.fits: ap = 88, w1 = 4093.316, w2 = 4007.099, dw = -0.05225, nw = 1651 Venus_day.0029.ec.fits: ap = 89, w1 = 4064.292, w2 = 3978.693, dw = -0.05188, nw = 1651 Venus_day.0029.ec.fits: ap = 90, w1 = 4035.677, w2 = 3950.687, dw = -0.05151, nw = 1651 Venus_day.0029.ec.fits: ap = 91, w1 = 4007.462, w2 = 3923.073, dw = -0.05114, nw = 1651 Venus_day.0029.ec.fits: ap = 92, w1 = 3979.638, w2 = 3895.843, dw = -0.05078, nw = 1651 Venus_day.0029.ec.fits: ap = 93, w1 = 3952.199, w2 = 3868.989, dw = -0.05043, nw = 1651 Venus_day.0029.ec.fits: ap = 94, w1 = 3925.135, w2 = 3842.503, dw = -0.05008, nw = 1651 Venus_day.0029.ec.fits: ap = 95, w1 = 3898.439, w2 = 3816.378, dw = -0.04973, nw = 1651 Venus_day.0029.ec.fits: ap = 96, w1 = 3872.104, w2 = 3790.606, dw = -0.04939, nw = 1651 Venus_day.0029.ec.fits: ap = 97, w1 = 3846.123, w2 = 3765.18, dw = -0.04906, nw = 1651 Venus_day.0029.ec.fits: ap = 98, w1 = 3820.487, w2 = 3740.094, dw = -0.04872, nw = 1651 Venus_day.0029.ec.fits: ap = 99, w1 = 3795.191, w2 = 3715.34, dw = -0.04839, nw = 1651 Venus_day.0029.ec.fits: ap = 100, w1 = 3770.228, w2 = 3690.913, dw = -0.04807, nw = 1651 Venus_day.0029.ec.fits: ap = 101, w1 = 3745.591, w2 = 3666.805, dw = -0.04775, nw = 1651 Venus_day.0029.ec.fits: ap = 102, w1 = 3721.274, w2 = 3643.01, dw = -0.04743, nw = 1651 Venus_day.0029.ec.fits: ap = 103, w1 = 3697.271, w2 = 3619.523, dw = -0.04712, nw = 1651 Venus_day.0029.ec.fits: ap = 104, w1 = 3673.575, w2 = 3596.337, dw = -0.04681, nw = 1651 Venus_day.0029.ec.fits: ap = 105, w1 = 3650.181, w2 = 3573.447, dw = -0.04651, nw = 1651 Venus_day.0029.ec.fits: ap = 106, w1 = 3627.082, w2 = 3550.847, dw = -0.0462, nw = 1651 Venus_day.0029.ec.fits: ap = 107, w1 = 3604.274, w2 = 3528.532, dw = -0.0459, nw = 1651 Venus_day.0029.ec.fits: ap = 108, w1 = 3581.751, w2 = 3506.496, dw = -0.04561, nw = 1651 Venus_day.0029.ec.fits: ap = 109, w1 = 3559.508, w2 = 3484.735, dw = -0.04532, nw = 1651 Venus_day.0029.ec.fits: ap = 110, w1 = 3537.539, w2 = 3463.242, dw = -0.04503, nw = 1651 Venus_day.0029.ec.fits: ap = 111, w1 = 3515.84, w2 = 3442.014, dw = -0.04474, nw = 1651 Venus_day.0029.ec.fits: ap = 112, w1 = 3494.404, w2 = 3421.044, dw = -0.04446, nw = 1651 Venus_day.0029.ec.fits: ap = 113, w1 = 3473.229, w2 = 3400.33, dw = -0.04418, nw = 1651 Venus_day.0029.ec.fits: ap = 114, w1 = 3452.308, w2 = 3379.865, dw = -0.0439, nw = 1651 Venus_day.0029.ec.fits: ap = 115, w1 = 3431.638, w2 = 3359.646, dw = -0.04363, nw = 1651 Venus_day.0030.ec.fits: REFSPEC1 = 'ThAr.0015.ec 1.' Venus_day.0030.ec.fits: ap = 1, w1 = 10811.12, w2 = 10583.03, dw = -0.13823, nw = 1651 Venus_day.0030.ec.fits: ap = 2, w1 = 10610.93, w2 = 10387.06, dw = -0.13568, nw = 1651 Venus_day.0030.ec.fits: ap = 3, w1 = 10418.03, w2 = 10198.22, dw = -0.13322, nw = 1651 Venus_day.0030.ec.fits: ap = 4, w1 = 10232.01, w2 = 10016.12, dw = -0.13084, nw = 1651 Venus_day.0030.ec.fits: ap = 5, w1 = 10052.52, w2 = 9840.416, dw = -0.12855, nw = 1651 Venus_day.0030.ec.fits: ap = 6, w1 = 9879.219, w2 = 9670.767, dw = -0.12633, nw = 1651 Venus_day.0030.ec.fits: ap = 7, w1 = 9711.791, w2 = 9506.869, dw = -0.12419, nw = 1651 Venus_day.0030.ec.fits: ap = 8, w1 = 9549.944, w2 = 9348.435, dw = -0.12213, nw = 1651 Venus_day.0030.ec.fits: ap = 9, w1 = 9393.403, w2 = 9195.195, dw = -0.12013, nw = 1651 Venus_day.0030.ec.fits: ap = 10, w1 = 9241.912, w2 = 9046.899, dw = -0.11819, nw = 1651 Venus_day.0030.ec.fits: ap = 11, w1 = 9095.229, w2 = 8903.31, dw = -0.11631, nw = 1651 Venus_day.0030.ec.fits: ap = 12, w1 = 8953.13, w2 = 8764.209, dw = -0.1145, nw = 1651 Venus_day.0030.ec.fits: ap = 13, w1 = 8815.403, w2 = 8629.387, dw = -0.11274, nw = 1651 Venus_day.0030.ec.fits: ap = 14, w1 = 8681.849, w2 = 8498.652, dw = -0.11103, nw = 1651 Venus_day.0030.ec.fits: ap = 15, w1 = 8552.282, w2 = 8371.819, dw = -0.10937, nw = 1651 Venus_day.0030.ec.fits: ap = 16, w1 = 8426.525, w2 = 8248.716, dw = -0.10776, nw = 1651 Venus_day.0030.ec.fits: ap = 17, w1 = 8304.413, w2 = 8129.182, dw = -0.1062, nw = 1651 Venus_day.0030.ec.fits: ap = 18, w1 = 8185.79, w2 = 8013.063, dw = -0.10468, nw = 1651 Venus_day.0030.ec.fits: ap = 19, w1 = 8070.509, w2 = 7900.215, dw = -0.10321, nw = 1651 Venus_day.0030.ec.fits: ap = 20, w1 = 7958.429, w2 = 7790.501, dw = -0.10177, nw = 1651 Venus_day.0030.ec.fits: ap = 21, w1 = 7849.42, w2 = 7683.794, dw = -0.10038, nw = 1651 Venus_day.0030.ec.fits: ap = 22, w1 = 7743.357, w2 = 7579.971, dw = -0.09902, nw = 1651 Venus_day.0030.ec.fits: ap = 23, w1 = 7640.122, w2 = 7478.916, dw = -0.0977, nw = 1651 Venus_day.0030.ec.fits: ap = 24, w1 = 7539.604, w2 = 7380.521, dw = -0.09641, nw = 1651 Venus_day.0030.ec.fits: ap = 25, w1 = 7441.697, w2 = 7284.681, dw = -0.09516, nw = 1651 Venus_day.0030.ec.fits: ap = 26, w1 = 7346.3, w2 = 7191.299, dw = -0.09394, nw = 1651 Venus_day.0030.ec.fits: ap = 27, w1 = 7253.318, w2 = 7100.281, dw = -0.09275, nw = 1651 Venus_day.0030.ec.fits: ap = 28, w1 = 7162.661, w2 = 7011.539, dw = -0.09159, nw = 1651 Venus_day.0030.ec.fits: ap = 29, w1 = 7074.242, w2 = 6924.988, dw = -0.09046, nw = 1651 Venus_day.0030.ec.fits: ap = 30, w1 = 6987.98, w2 = 6840.548, dw = -0.08935, nw = 1651 Venus_day.0030.ec.fits: ap = 31, w1 = 6903.796, w2 = 6758.142, dw = -0.08827, nw = 1651 Venus_day.0030.ec.fits: ap = 32, w1 = 6821.616, w2 = 6677.699, dw = -0.08722, nw = 1651 Venus_day.0030.ec.fits: ap = 33, w1 = 6741.371, w2 = 6599.148, dw = -0.0862, nw = 1651 Venus_day.0030.ec.fits: ap = 34, w1 = 6662.991, w2 = 6522.425, dw = -0.08519, nw = 1651 Venus_day.0030.ec.fits: ap = 35, w1 = 6586.413, w2 = 6447.465, dw = -0.08421, nw = 1651 Venus_day.0030.ec.fits: ap = 36, w1 = 6511.576, w2 = 6374.209, dw = -0.08325, nw = 1651 Venus_day.0030.ec.fits: ap = 37, w1 = 6438.421, w2 = 6302.599, dw = -0.08232, nw = 1651 Venus_day.0030.ec.fits: ap = 38, w1 = 6366.891, w2 = 6232.58, dw = -0.0814, nw = 1651 Venus_day.0030.ec.fits: ap = 39, w1 = 6296.933, w2 = 6164.101, dw = -0.0805, nw = 1651 Venus_day.0030.ec.fits: ap = 40, w1 = 6228.496, w2 = 6097.11, dw = -0.07963, nw = 1651 Venus_day.0030.ec.fits: ap = 41, w1 = 6161.531, w2 = 6031.56, dw = -0.07877, nw = 1651 Venus_day.0030.ec.fits: ap = 42, w1 = 6095.991, w2 = 5967.404, dw = -0.07793, nw = 1651 Venus_day.0030.ec.fits: ap = 43, w1 = 6031.831, w2 = 5904.599, dw = -0.07711, nw = 1651 Venus_day.0030.ec.fits: ap = 44, w1 = 5969.007, w2 = 5843.103, dw = -0.07631, nw = 1651 Venus_day.0030.ec.fits: ap = 45, w1 = 5907.479, w2 = 5782.875, dw = -0.07552, nw = 1651 Venus_day.0030.ec.fits: ap = 46, w1 = 5847.206, w2 = 5723.876, dw = -0.07475, nw = 1651 Venus_day.0030.ec.fits: ap = 47, w1 = 5788.152, w2 = 5666.069, dw = -0.07399, nw = 1651 Venus_day.0030.ec.fits: ap = 48, w1 = 5730.278, w2 = 5609.418, dw = -0.07325, nw = 1651 Venus_day.0030.ec.fits: ap = 49, w1 = 5673.55, w2 = 5553.889, dw = -0.07252, nw = 1651 Venus_day.0030.ec.fits: ap = 50, w1 = 5617.935, w2 = 5499.449, dw = -0.07181, nw = 1651 Venus_day.0030.ec.fits: ap = 51, w1 = 5563.4, w2 = 5446.066, dw = -0.07111, nw = 1651 Venus_day.0030.ec.fits: ap = 52, w1 = 5509.914, w2 = 5393.71, dw = -0.07043, nw = 1651 Venus_day.0030.ec.fits: ap = 53, w1 = 5457.446, w2 = 5342.351, dw = -0.06975, nw = 1651 Venus_day.0030.ec.fits: ap = 54, w1 = 5405.969, w2 = 5291.961, dw = -0.0691, nw = 1651 Venus_day.0030.ec.fits: ap = 55, w1 = 5355.453, w2 = 5242.514, dw = -0.06845, nw = 1651 Venus_day.0030.ec.fits: ap = 56, w1 = 5305.874, w2 = 5193.982, dw = -0.06781, nw = 1651 Venus_day.0030.ec.fits: ap = 57, w1 = 5257.204, w2 = 5146.34, dw = -0.06719, nw = 1651 Venus_day.0030.ec.fits: ap = 58, w1 = 5209.419, w2 = 5099.565, dw = -0.06658, nw = 1651 Venus_day.0030.ec.fits: ap = 59, w1 = 5162.495, w2 = 5053.633, dw = -0.06598, nw = 1651 Venus_day.0030.ec.fits: ap = 60, w1 = 5116.409, w2 = 5008.521, dw = -0.06539, nw = 1651 Venus_day.0030.ec.fits: ap = 61, w1 = 5071.139, w2 = 4964.208, dw = -0.06481, nw = 1651 Venus_day.0030.ec.fits: ap = 62, w1 = 5026.663, w2 = 4920.672, dw = -0.06424, nw = 1651 Venus_day.0030.ec.fits: ap = 63, w1 = 4982.961, w2 = 4877.894, dw = -0.06368, nw = 1651 Venus_day.0030.ec.fits: ap = 64, w1 = 4940.012, w2 = 4835.853, dw = -0.06313, nw = 1651 Venus_day.0030.ec.fits: ap = 65, w1 = 4897.798, w2 = 4794.531, dw = -0.06259, nw = 1651 Venus_day.0030.ec.fits: ap = 66, w1 = 4856.299, w2 = 4753.91, dw = -0.06205, nw = 1651 Venus_day.0030.ec.fits: ap = 67, w1 = 4815.497, w2 = 4713.971, dw = -0.06153, nw = 1651 Venus_day.0030.ec.fits: ap = 68, w1 = 4775.376, w2 = 4674.699, dw = -0.06102, nw = 1651 Venus_day.0030.ec.fits: ap = 69, w1 = 4735.918, w2 = 4636.075, dw = -0.06051, nw = 1651 Venus_day.0030.ec.fits: ap = 70, w1 = 4697.107, w2 = 4598.085, dw = -0.06001, nw = 1651 Venus_day.0030.ec.fits: ap = 71, w1 = 4658.926, w2 = 4560.713, dw = -0.05952, nw = 1651 Venus_day.0030.ec.fits: ap = 72, w1 = 4621.362, w2 = 4523.944, dw = -0.05904, nw = 1651 Venus_day.0030.ec.fits: ap = 73, w1 = 4584.399, w2 = 4487.763, dw = -0.05857, nw = 1651 Venus_day.0030.ec.fits: ap = 74, w1 = 4548.022, w2 = 4452.156, dw = -0.0581, nw = 1651 Venus_day.0030.ec.fits: ap = 75, w1 = 4512.219, w2 = 4417.111, dw = -0.05764, nw = 1651 Venus_day.0030.ec.fits: ap = 76, w1 = 4476.974, w2 = 4382.613, dw = -0.05719, nw = 1651 Venus_day.0030.ec.fits: ap = 77, w1 = 4442.277, w2 = 4348.651, dw = -0.05674, nw = 1651 Venus_day.0030.ec.fits: ap = 78, w1 = 4408.113, w2 = 4315.211, dw = -0.0563, nw = 1651 Venus_day.0030.ec.fits: ap = 79, w1 = 4374.47, w2 = 4282.282, dw = -0.05587, nw = 1651 Venus_day.0030.ec.fits: ap = 80, w1 = 4341.338, w2 = 4249.852, dw = -0.05545, nw = 1651 Venus_day.0030.ec.fits: ap = 81, w1 = 4308.703, w2 = 4217.91, dw = -0.05503, nw = 1651 Venus_day.0030.ec.fits: ap = 82, w1 = 4276.556, w2 = 4186.445, dw = -0.05461, nw = 1651 Venus_day.0030.ec.fits: ap = 83, w1 = 4244.885, w2 = 4155.446, dw = -0.05421, nw = 1651 Venus_day.0030.ec.fits: ap = 84, w1 = 4213.68, w2 = 4124.904, dw = -0.0538, nw = 1651 Venus_day.0030.ec.fits: ap = 85, w1 = 4182.93, w2 = 4094.807, dw = -0.05341, nw = 1651 Venus_day.0030.ec.fits: ap = 86, w1 = 4152.626, w2 = 4065.147, dw = -0.05302, nw = 1651 Venus_day.0030.ec.fits: ap = 87, w1 = 4122.758, w2 = 4035.914, dw = -0.05263, nw = 1651 Venus_day.0030.ec.fits: ap = 88, w1 = 4093.316, w2 = 4007.099, dw = -0.05225, nw = 1651 Venus_day.0030.ec.fits: ap = 89, w1 = 4064.292, w2 = 3978.693, dw = -0.05188, nw = 1651 Venus_day.0030.ec.fits: ap = 90, w1 = 4035.677, w2 = 3950.687, dw = -0.05151, nw = 1651 Venus_day.0030.ec.fits: ap = 91, w1 = 4007.462, w2 = 3923.073, dw = -0.05114, nw = 1651 Venus_day.0030.ec.fits: ap = 92, w1 = 3979.638, w2 = 3895.843, dw = -0.05078, nw = 1651 Venus_day.0030.ec.fits: ap = 93, w1 = 3952.199, w2 = 3868.989, dw = -0.05043, nw = 1651 Venus_day.0030.ec.fits: ap = 94, w1 = 3925.135, w2 = 3842.503, dw = -0.05008, nw = 1651 Venus_day.0030.ec.fits: ap = 95, w1 = 3898.439, w2 = 3816.378, dw = -0.04973, nw = 1651 Venus_day.0030.ec.fits: ap = 96, w1 = 3872.104, w2 = 3790.606, dw = -0.04939, nw = 1651 Venus_day.0030.ec.fits: ap = 97, w1 = 3846.123, w2 = 3765.18, dw = -0.04906, nw = 1651 Venus_day.0030.ec.fits: ap = 98, w1 = 3820.487, w2 = 3740.094, dw = -0.04872, nw = 1651 Venus_day.0030.ec.fits: ap = 99, w1 = 3795.191, w2 = 3715.34, dw = -0.04839, nw = 1651 Venus_day.0030.ec.fits: ap = 100, w1 = 3770.228, w2 = 3690.913, dw = -0.04807, nw = 1651 Venus_day.0030.ec.fits: ap = 101, w1 = 3745.591, w2 = 3666.805, dw = -0.04775, nw = 1651 Venus_day.0030.ec.fits: ap = 102, w1 = 3721.274, w2 = 3643.01, dw = -0.04743, nw = 1651 Venus_day.0030.ec.fits: ap = 103, w1 = 3697.271, w2 = 3619.523, dw = -0.04712, nw = 1651 Venus_day.0030.ec.fits: ap = 104, w1 = 3673.575, w2 = 3596.337, dw = -0.04681, nw = 1651 Venus_day.0030.ec.fits: ap = 105, w1 = 3650.181, w2 = 3573.447, dw = -0.04651, nw = 1651 Venus_day.0030.ec.fits: ap = 106, w1 = 3627.082, w2 = 3550.847, dw = -0.0462, nw = 1651 Venus_day.0030.ec.fits: ap = 107, w1 = 3604.274, w2 = 3528.532, dw = -0.0459, nw = 1651 Venus_day.0030.ec.fits: ap = 108, w1 = 3581.751, w2 = 3506.496, dw = -0.04561, nw = 1651 Venus_day.0030.ec.fits: ap = 109, w1 = 3559.508, w2 = 3484.735, dw = -0.04532, nw = 1651 Venus_day.0030.ec.fits: ap = 110, w1 = 3537.539, w2 = 3463.242, dw = -0.04503, nw = 1651 Venus_day.0030.ec.fits: ap = 111, w1 = 3515.84, w2 = 3442.014, dw = -0.04474, nw = 1651 Venus_day.0030.ec.fits: ap = 112, w1 = 3494.404, w2 = 3421.044, dw = -0.04446, nw = 1651 Venus_day.0030.ec.fits: ap = 113, w1 = 3473.229, w2 = 3400.33, dw = -0.04418, nw = 1651 Venus_day.0030.ec.fits: ap = 114, w1 = 3452.308, w2 = 3379.865, dw = -0.0439, nw = 1651 Venus_day.0030.ec.fits: ap = 115, w1 = 3431.638, w2 = 3359.646, dw = -0.04363, nw = 1651 Venus_day.0038.ec.fits: REFSPEC1 = 'ThAr.0015.ec 1.' Venus_day.0038.ec.fits: ap = 1, w1 = 10811.12, w2 = 10583.03, dw = -0.13823, nw = 1651 Venus_day.0038.ec.fits: ap = 2, w1 = 10610.93, w2 = 10387.06, dw = -0.13568, nw = 1651 Venus_day.0038.ec.fits: ap = 3, w1 = 10418.03, w2 = 10198.22, dw = -0.13322, nw = 1651 Venus_day.0038.ec.fits: ap = 4, w1 = 10232.01, w2 = 10016.12, dw = -0.13084, nw = 1651 Venus_day.0038.ec.fits: ap = 5, w1 = 10052.52, w2 = 9840.416, dw = -0.12855, nw = 1651 Venus_day.0038.ec.fits: ap = 6, w1 = 9879.219, w2 = 9670.767, dw = -0.12633, nw = 1651 Venus_day.0038.ec.fits: ap = 7, w1 = 9711.791, w2 = 9506.869, dw = -0.12419, nw = 1651 Venus_day.0038.ec.fits: ap = 8, w1 = 9549.944, w2 = 9348.435, dw = -0.12213, nw = 1651 Venus_day.0038.ec.fits: ap = 9, w1 = 9393.403, w2 = 9195.195, dw = -0.12013, nw = 1651 Venus_day.0038.ec.fits: ap = 10, w1 = 9241.912, w2 = 9046.899, dw = -0.11819, nw = 1651 Venus_day.0038.ec.fits: ap = 11, w1 = 9095.229, w2 = 8903.31, dw = -0.11631, nw = 1651 Venus_day.0038.ec.fits: ap = 12, w1 = 8953.13, w2 = 8764.209, dw = -0.1145, nw = 1651 Venus_day.0038.ec.fits: ap = 13, w1 = 8815.403, w2 = 8629.387, dw = -0.11274, nw = 1651 Venus_day.0038.ec.fits: ap = 14, w1 = 8681.849, w2 = 8498.652, dw = -0.11103, nw = 1651 Venus_day.0038.ec.fits: ap = 15, w1 = 8552.282, w2 = 8371.819, dw = -0.10937, nw = 1651 Venus_day.0038.ec.fits: ap = 16, w1 = 8426.525, w2 = 8248.716, dw = -0.10776, nw = 1651 Venus_day.0038.ec.fits: ap = 17, w1 = 8304.413, w2 = 8129.182, dw = -0.1062, nw = 1651 Venus_day.0038.ec.fits: ap = 18, w1 = 8185.79, w2 = 8013.063, dw = -0.10468, nw = 1651 Venus_day.0038.ec.fits: ap = 19, w1 = 8070.509, w2 = 7900.215, dw = -0.10321, nw = 1651 Venus_day.0038.ec.fits: ap = 20, w1 = 7958.429, w2 = 7790.501, dw = -0.10177, nw = 1651 Venus_day.0038.ec.fits: ap = 21, w1 = 7849.42, w2 = 7683.794, dw = -0.10038, nw = 1651 Venus_day.0038.ec.fits: ap = 22, w1 = 7743.357, w2 = 7579.971, dw = -0.09902, nw = 1651 Venus_day.0038.ec.fits: ap = 23, w1 = 7640.122, w2 = 7478.916, dw = -0.0977, nw = 1651 Venus_day.0038.ec.fits: ap = 24, w1 = 7539.604, w2 = 7380.521, dw = -0.09641, nw = 1651 Venus_day.0038.ec.fits: ap = 25, w1 = 7441.697, w2 = 7284.681, dw = -0.09516, nw = 1651 Venus_day.0038.ec.fits: ap = 26, w1 = 7346.3, w2 = 7191.299, dw = -0.09394, nw = 1651 Venus_day.0038.ec.fits: ap = 27, w1 = 7253.318, w2 = 7100.281, dw = -0.09275, nw = 1651 Venus_day.0038.ec.fits: ap = 28, w1 = 7162.661, w2 = 7011.539, dw = -0.09159, nw = 1651 Venus_day.0038.ec.fits: ap = 29, w1 = 7074.242, w2 = 6924.988, dw = -0.09046, nw = 1651 Venus_day.0038.ec.fits: ap = 30, w1 = 6987.98, w2 = 6840.548, dw = -0.08935, nw = 1651 Venus_day.0038.ec.fits: ap = 31, w1 = 6903.796, w2 = 6758.142, dw = -0.08827, nw = 1651 Venus_day.0038.ec.fits: ap = 32, w1 = 6821.616, w2 = 6677.699, dw = -0.08722, nw = 1651 Venus_day.0038.ec.fits: ap = 33, w1 = 6741.371, w2 = 6599.148, dw = -0.0862, nw = 1651 Venus_day.0038.ec.fits: ap = 34, w1 = 6662.991, w2 = 6522.425, dw = -0.08519, nw = 1651 Venus_day.0038.ec.fits: ap = 35, w1 = 6586.413, w2 = 6447.465, dw = -0.08421, nw = 1651 Venus_day.0038.ec.fits: ap = 36, w1 = 6511.576, w2 = 6374.209, dw = -0.08325, nw = 1651 Venus_day.0038.ec.fits: ap = 37, w1 = 6438.421, w2 = 6302.599, dw = -0.08232, nw = 1651 Venus_day.0038.ec.fits: ap = 38, w1 = 6366.891, w2 = 6232.58, dw = -0.0814, nw = 1651 Venus_day.0038.ec.fits: ap = 39, w1 = 6296.933, w2 = 6164.101, dw = -0.0805, nw = 1651 Venus_day.0038.ec.fits: ap = 40, w1 = 6228.496, w2 = 6097.11, dw = -0.07963, nw = 1651 Venus_day.0038.ec.fits: ap = 41, w1 = 6161.531, w2 = 6031.56, dw = -0.07877, nw = 1651 Venus_day.0038.ec.fits: ap = 42, w1 = 6095.991, w2 = 5967.404, dw = -0.07793, nw = 1651 Venus_day.0038.ec.fits: ap = 43, w1 = 6031.831, w2 = 5904.599, dw = -0.07711, nw = 1651 Venus_day.0038.ec.fits: ap = 44, w1 = 5969.007, w2 = 5843.103, dw = -0.07631, nw = 1651 Venus_day.0038.ec.fits: ap = 45, w1 = 5907.479, w2 = 5782.875, dw = -0.07552, nw = 1651 Venus_day.0038.ec.fits: ap = 46, w1 = 5847.206, w2 = 5723.876, dw = -0.07475, nw = 1651 Venus_day.0038.ec.fits: ap = 47, w1 = 5788.152, w2 = 5666.069, dw = -0.07399, nw = 1651 Venus_day.0038.ec.fits: ap = 48, w1 = 5730.278, w2 = 5609.418, dw = -0.07325, nw = 1651 Venus_day.0038.ec.fits: ap = 49, w1 = 5673.55, w2 = 5553.889, dw = -0.07252, nw = 1651 Venus_day.0038.ec.fits: ap = 50, w1 = 5617.935, w2 = 5499.449, dw = -0.07181, nw = 1651 Venus_day.0038.ec.fits: ap = 51, w1 = 5563.4, w2 = 5446.066, dw = -0.07111, nw = 1651 Venus_day.0038.ec.fits: ap = 52, w1 = 5509.914, w2 = 5393.71, dw = -0.07043, nw = 1651 Venus_day.0038.ec.fits: ap = 53, w1 = 5457.446, w2 = 5342.351, dw = -0.06975, nw = 1651 Venus_day.0038.ec.fits: ap = 54, w1 = 5405.969, w2 = 5291.961, dw = -0.0691, nw = 1651 Venus_day.0038.ec.fits: ap = 55, w1 = 5355.453, w2 = 5242.514, dw = -0.06845, nw = 1651 Venus_day.0038.ec.fits: ap = 56, w1 = 5305.874, w2 = 5193.982, dw = -0.06781, nw = 1651 Venus_day.0038.ec.fits: ap = 57, w1 = 5257.204, w2 = 5146.34, dw = -0.06719, nw = 1651 Venus_day.0038.ec.fits: ap = 58, w1 = 5209.419, w2 = 5099.565, dw = -0.06658, nw = 1651 Venus_day.0038.ec.fits: ap = 59, w1 = 5162.495, w2 = 5053.633, dw = -0.06598, nw = 1651 Venus_day.0038.ec.fits: ap = 60, w1 = 5116.409, w2 = 5008.521, dw = -0.06539, nw = 1651 Venus_day.0038.ec.fits: ap = 61, w1 = 5071.139, w2 = 4964.208, dw = -0.06481, nw = 1651 Venus_day.0038.ec.fits: ap = 62, w1 = 5026.663, w2 = 4920.672, dw = -0.06424, nw = 1651 Venus_day.0038.ec.fits: ap = 63, w1 = 4982.961, w2 = 4877.894, dw = -0.06368, nw = 1651 Venus_day.0038.ec.fits: ap = 64, w1 = 4940.012, w2 = 4835.853, dw = -0.06313, nw = 1651 Venus_day.0038.ec.fits: ap = 65, w1 = 4897.798, w2 = 4794.531, dw = -0.06259, nw = 1651 Venus_day.0038.ec.fits: ap = 66, w1 = 4856.299, w2 = 4753.91, dw = -0.06205, nw = 1651 Venus_day.0038.ec.fits: ap = 67, w1 = 4815.497, w2 = 4713.971, dw = -0.06153, nw = 1651 Venus_day.0038.ec.fits: ap = 68, w1 = 4775.376, w2 = 4674.699, dw = -0.06102, nw = 1651 Venus_day.0038.ec.fits: ap = 69, w1 = 4735.918, w2 = 4636.075, dw = -0.06051, nw = 1651 Venus_day.0038.ec.fits: ap = 70, w1 = 4697.107, w2 = 4598.085, dw = -0.06001, nw = 1651 Venus_day.0038.ec.fits: ap = 71, w1 = 4658.926, w2 = 4560.713, dw = -0.05952, nw = 1651 Venus_day.0038.ec.fits: ap = 72, w1 = 4621.362, w2 = 4523.944, dw = -0.05904, nw = 1651 Venus_day.0038.ec.fits: ap = 73, w1 = 4584.399, w2 = 4487.763, dw = -0.05857, nw = 1651 Venus_day.0038.ec.fits: ap = 74, w1 = 4548.022, w2 = 4452.156, dw = -0.0581, nw = 1651 Venus_day.0038.ec.fits: ap = 75, w1 = 4512.219, w2 = 4417.111, dw = -0.05764, nw = 1651 Venus_day.0038.ec.fits: ap = 76, w1 = 4476.974, w2 = 4382.613, dw = -0.05719, nw = 1651 Venus_day.0038.ec.fits: ap = 77, w1 = 4442.277, w2 = 4348.651, dw = -0.05674, nw = 1651 Venus_day.0038.ec.fits: ap = 78, w1 = 4408.113, w2 = 4315.211, dw = -0.0563, nw = 1651 Venus_day.0038.ec.fits: ap = 79, w1 = 4374.47, w2 = 4282.282, dw = -0.05587, nw = 1651 Venus_day.0038.ec.fits: ap = 80, w1 = 4341.338, w2 = 4249.852, dw = -0.05545, nw = 1651 Venus_day.0038.ec.fits: ap = 81, w1 = 4308.703, w2 = 4217.91, dw = -0.05503, nw = 1651 Venus_day.0038.ec.fits: ap = 82, w1 = 4276.556, w2 = 4186.445, dw = -0.05461, nw = 1651 Venus_day.0038.ec.fits: ap = 83, w1 = 4244.885, w2 = 4155.446, dw = -0.05421, nw = 1651 Venus_day.0038.ec.fits: ap = 84, w1 = 4213.68, w2 = 4124.904, dw = -0.0538, nw = 1651 Venus_day.0038.ec.fits: ap = 85, w1 = 4182.93, w2 = 4094.807, dw = -0.05341, nw = 1651 Venus_day.0038.ec.fits: ap = 86, w1 = 4152.626, w2 = 4065.147, dw = -0.05302, nw = 1651 Venus_day.0038.ec.fits: ap = 87, w1 = 4122.758, w2 = 4035.914, dw = -0.05263, nw = 1651 Venus_day.0038.ec.fits: ap = 88, w1 = 4093.316, w2 = 4007.099, dw = -0.05225, nw = 1651 Venus_day.0038.ec.fits: ap = 89, w1 = 4064.292, w2 = 3978.693, dw = -0.05188, nw = 1651 Venus_day.0038.ec.fits: ap = 90, w1 = 4035.677, w2 = 3950.687, dw = -0.05151, nw = 1651 Venus_day.0038.ec.fits: ap = 91, w1 = 4007.462, w2 = 3923.073, dw = -0.05114, nw = 1651 Venus_day.0038.ec.fits: ap = 92, w1 = 3979.638, w2 = 3895.843, dw = -0.05078, nw = 1651 Venus_day.0038.ec.fits: ap = 93, w1 = 3952.199, w2 = 3868.989, dw = -0.05043, nw = 1651 Venus_day.0038.ec.fits: ap = 94, w1 = 3925.135, w2 = 3842.503, dw = -0.05008, nw = 1651 Venus_day.0038.ec.fits: ap = 95, w1 = 3898.439, w2 = 3816.378, dw = -0.04973, nw = 1651 Venus_day.0038.ec.fits: ap = 96, w1 = 3872.104, w2 = 3790.606, dw = -0.04939, nw = 1651 Venus_day.0038.ec.fits: ap = 97, w1 = 3846.123, w2 = 3765.18, dw = -0.04906, nw = 1651 Venus_day.0038.ec.fits: ap = 98, w1 = 3820.487, w2 = 3740.094, dw = -0.04872, nw = 1651 Venus_day.0038.ec.fits: ap = 99, w1 = 3795.191, w2 = 3715.34, dw = -0.04839, nw = 1651 Venus_day.0038.ec.fits: ap = 100, w1 = 3770.228, w2 = 3690.913, dw = -0.04807, nw = 1651 Venus_day.0038.ec.fits: ap = 101, w1 = 3745.591, w2 = 3666.805, dw = -0.04775, nw = 1651 Venus_day.0038.ec.fits: ap = 102, w1 = 3721.274, w2 = 3643.01, dw = -0.04743, nw = 1651 Venus_day.0038.ec.fits: ap = 103, w1 = 3697.271, w2 = 3619.523, dw = -0.04712, nw = 1651 Venus_day.0038.ec.fits: ap = 104, w1 = 3673.575, w2 = 3596.337, dw = -0.04681, nw = 1651 Venus_day.0038.ec.fits: ap = 105, w1 = 3650.181, w2 = 3573.447, dw = -0.04651, nw = 1651 Venus_day.0038.ec.fits: ap = 106, w1 = 3627.082, w2 = 3550.847, dw = -0.0462, nw = 1651 Venus_day.0038.ec.fits: ap = 107, w1 = 3604.274, w2 = 3528.532, dw = -0.0459, nw = 1651 Venus_day.0038.ec.fits: ap = 108, w1 = 3581.751, w2 = 3506.496, dw = -0.04561, nw = 1651 Venus_day.0038.ec.fits: ap = 109, w1 = 3559.508, w2 = 3484.735, dw = -0.04532, nw = 1651 Venus_day.0038.ec.fits: ap = 110, w1 = 3537.539, w2 = 3463.242, dw = -0.04503, nw = 1651 Venus_day.0038.ec.fits: ap = 111, w1 = 3515.84, w2 = 3442.014, dw = -0.04474, nw = 1651 Venus_day.0038.ec.fits: ap = 112, w1 = 3494.404, w2 = 3421.044, dw = -0.04446, nw = 1651 Venus_day.0038.ec.fits: ap = 113, w1 = 3473.229, w2 = 3400.33, dw = -0.04418, nw = 1651 Venus_day.0038.ec.fits: ap = 114, w1 = 3452.308, w2 = 3379.865, dw = -0.0439, nw = 1651 Venus_day.0038.ec.fits: ap = 115, w1 = 3431.638, w2 = 3359.646, dw = -0.04363, nw = 1651 Venus_day.0042.ec.fits: REFSPEC1 = 'ThAr.0015.ec 1.' Venus_day.0042.ec.fits: ap = 1, w1 = 10811.12, w2 = 10583.03, dw = -0.13823, nw = 1651 Venus_day.0042.ec.fits: ap = 2, w1 = 10610.93, w2 = 10387.06, dw = -0.13568, nw = 1651 Venus_day.0042.ec.fits: ap = 3, w1 = 10418.03, w2 = 10198.22, dw = -0.13322, nw = 1651 Venus_day.0042.ec.fits: ap = 4, w1 = 10232.01, w2 = 10016.12, dw = -0.13084, nw = 1651 Venus_day.0042.ec.fits: ap = 5, w1 = 10052.52, w2 = 9840.416, dw = -0.12855, nw = 1651 Venus_day.0042.ec.fits: ap = 6, w1 = 9879.219, w2 = 9670.767, dw = -0.12633, nw = 1651 Venus_day.0042.ec.fits: ap = 7, w1 = 9711.791, w2 = 9506.869, dw = -0.12419, nw = 1651 Venus_day.0042.ec.fits: ap = 8, w1 = 9549.944, w2 = 9348.435, dw = -0.12213, nw = 1651 Venus_day.0042.ec.fits: ap = 9, w1 = 9393.403, w2 = 9195.195, dw = -0.12013, nw = 1651 Venus_day.0042.ec.fits: ap = 10, w1 = 9241.912, w2 = 9046.899, dw = -0.11819, nw = 1651 Venus_day.0042.ec.fits: ap = 11, w1 = 9095.229, w2 = 8903.31, dw = -0.11631, nw = 1651 Venus_day.0042.ec.fits: ap = 12, w1 = 8953.13, w2 = 8764.209, dw = -0.1145, nw = 1651 Venus_day.0042.ec.fits: ap = 13, w1 = 8815.403, w2 = 8629.387, dw = -0.11274, nw = 1651 Venus_day.0042.ec.fits: ap = 14, w1 = 8681.849, w2 = 8498.652, dw = -0.11103, nw = 1651 Venus_day.0042.ec.fits: ap = 15, w1 = 8552.282, w2 = 8371.819, dw = -0.10937, nw = 1651 Venus_day.0042.ec.fits: ap = 16, w1 = 8426.525, w2 = 8248.716, dw = -0.10776, nw = 1651 Venus_day.0042.ec.fits: ap = 17, w1 = 8304.413, w2 = 8129.182, dw = -0.1062, nw = 1651 Venus_day.0042.ec.fits: ap = 18, w1 = 8185.79, w2 = 8013.063, dw = -0.10468, nw = 1651 Venus_day.0042.ec.fits: ap = 19, w1 = 8070.509, w2 = 7900.215, dw = -0.10321, nw = 1651 Venus_day.0042.ec.fits: ap = 20, w1 = 7958.429, w2 = 7790.501, dw = -0.10177, nw = 1651 Venus_day.0042.ec.fits: ap = 21, w1 = 7849.42, w2 = 7683.794, dw = -0.10038, nw = 1651 Venus_day.0042.ec.fits: ap = 22, w1 = 7743.357, w2 = 7579.971, dw = -0.09902, nw = 1651 Venus_day.0042.ec.fits: ap = 23, w1 = 7640.122, w2 = 7478.916, dw = -0.0977, nw = 1651 Venus_day.0042.ec.fits: ap = 24, w1 = 7539.604, w2 = 7380.521, dw = -0.09641, nw = 1651 Venus_day.0042.ec.fits: ap = 25, w1 = 7441.697, w2 = 7284.681, dw = -0.09516, nw = 1651 Venus_day.0042.ec.fits: ap = 26, w1 = 7346.3, w2 = 7191.299, dw = -0.09394, nw = 1651 Venus_day.0042.ec.fits: ap = 27, w1 = 7253.318, w2 = 7100.281, dw = -0.09275, nw = 1651 Venus_day.0042.ec.fits: ap = 28, w1 = 7162.661, w2 = 7011.539, dw = -0.09159, nw = 1651 Venus_day.0042.ec.fits: ap = 29, w1 = 7074.242, w2 = 6924.988, dw = -0.09046, nw = 1651 Venus_day.0042.ec.fits: ap = 30, w1 = 6987.98, w2 = 6840.548, dw = -0.08935, nw = 1651 Venus_day.0042.ec.fits: ap = 31, w1 = 6903.796, w2 = 6758.142, dw = -0.08827, nw = 1651 Venus_day.0042.ec.fits: ap = 32, w1 = 6821.616, w2 = 6677.699, dw = -0.08722, nw = 1651 Venus_day.0042.ec.fits: ap = 33, w1 = 6741.371, w2 = 6599.148, dw = -0.0862, nw = 1651 Venus_day.0042.ec.fits: ap = 34, w1 = 6662.991, w2 = 6522.425, dw = -0.08519, nw = 1651 Venus_day.0042.ec.fits: ap = 35, w1 = 6586.413, w2 = 6447.465, dw = -0.08421, nw = 1651 Venus_day.0042.ec.fits: ap = 36, w1 = 6511.576, w2 = 6374.209, dw = -0.08325, nw = 1651 Venus_day.0042.ec.fits: ap = 37, w1 = 6438.421, w2 = 6302.599, dw = -0.08232, nw = 1651 Venus_day.0042.ec.fits: ap = 38, w1 = 6366.891, w2 = 6232.58, dw = -0.0814, nw = 1651 Venus_day.0042.ec.fits: ap = 39, w1 = 6296.933, w2 = 6164.101, dw = -0.0805, nw = 1651 Venus_day.0042.ec.fits: ap = 40, w1 = 6228.496, w2 = 6097.11, dw = -0.07963, nw = 1651 Venus_day.0042.ec.fits: ap = 41, w1 = 6161.531, w2 = 6031.56, dw = -0.07877, nw = 1651 Venus_day.0042.ec.fits: ap = 42, w1 = 6095.991, w2 = 5967.404, dw = -0.07793, nw = 1651 Venus_day.0042.ec.fits: ap = 43, w1 = 6031.831, w2 = 5904.599, dw = -0.07711, nw = 1651 Venus_day.0042.ec.fits: ap = 44, w1 = 5969.007, w2 = 5843.103, dw = -0.07631, nw = 1651 Venus_day.0042.ec.fits: ap = 45, w1 = 5907.479, w2 = 5782.875, dw = -0.07552, nw = 1651 Venus_day.0042.ec.fits: ap = 46, w1 = 5847.206, w2 = 5723.876, dw = -0.07475, nw = 1651 Venus_day.0042.ec.fits: ap = 47, w1 = 5788.152, w2 = 5666.069, dw = -0.07399, nw = 1651 Venus_day.0042.ec.fits: ap = 48, w1 = 5730.278, w2 = 5609.418, dw = -0.07325, nw = 1651 Venus_day.0042.ec.fits: ap = 49, w1 = 5673.55, w2 = 5553.889, dw = -0.07252, nw = 1651 Venus_day.0042.ec.fits: ap = 50, w1 = 5617.935, w2 = 5499.449, dw = -0.07181, nw = 1651 Venus_day.0042.ec.fits: ap = 51, w1 = 5563.4, w2 = 5446.066, dw = -0.07111, nw = 1651 Venus_day.0042.ec.fits: ap = 52, w1 = 5509.914, w2 = 5393.71, dw = -0.07043, nw = 1651 Venus_day.0042.ec.fits: ap = 53, w1 = 5457.446, w2 = 5342.351, dw = -0.06975, nw = 1651 Venus_day.0042.ec.fits: ap = 54, w1 = 5405.969, w2 = 5291.961, dw = -0.0691, nw = 1651 Venus_day.0042.ec.fits: ap = 55, w1 = 5355.453, w2 = 5242.514, dw = -0.06845, nw = 1651 Venus_day.0042.ec.fits: ap = 56, w1 = 5305.874, w2 = 5193.982, dw = -0.06781, nw = 1651 Venus_day.0042.ec.fits: ap = 57, w1 = 5257.204, w2 = 5146.34, dw = -0.06719, nw = 1651 Venus_day.0042.ec.fits: ap = 58, w1 = 5209.419, w2 = 5099.565, dw = -0.06658, nw = 1651 Venus_day.0042.ec.fits: ap = 59, w1 = 5162.495, w2 = 5053.633, dw = -0.06598, nw = 1651 Venus_day.0042.ec.fits: ap = 60, w1 = 5116.409, w2 = 5008.521, dw = -0.06539, nw = 1651 Venus_day.0042.ec.fits: ap = 61, w1 = 5071.139, w2 = 4964.208, dw = -0.06481, nw = 1651 Venus_day.0042.ec.fits: ap = 62, w1 = 5026.663, w2 = 4920.672, dw = -0.06424, nw = 1651 Venus_day.0042.ec.fits: ap = 63, w1 = 4982.961, w2 = 4877.894, dw = -0.06368, nw = 1651 Venus_day.0042.ec.fits: ap = 64, w1 = 4940.012, w2 = 4835.853, dw = -0.06313, nw = 1651 Venus_day.0042.ec.fits: ap = 65, w1 = 4897.798, w2 = 4794.531, dw = -0.06259, nw = 1651 Venus_day.0042.ec.fits: ap = 66, w1 = 4856.299, w2 = 4753.91, dw = -0.06205, nw = 1651 Venus_day.0042.ec.fits: ap = 67, w1 = 4815.497, w2 = 4713.971, dw = -0.06153, nw = 1651 Venus_day.0042.ec.fits: ap = 68, w1 = 4775.376, w2 = 4674.699, dw = -0.06102, nw = 1651 Venus_day.0042.ec.fits: ap = 69, w1 = 4735.918, w2 = 4636.075, dw = -0.06051, nw = 1651 Venus_day.0042.ec.fits: ap = 70, w1 = 4697.107, w2 = 4598.085, dw = -0.06001, nw = 1651 Venus_day.0042.ec.fits: ap = 71, w1 = 4658.926, w2 = 4560.713, dw = -0.05952, nw = 1651 Venus_day.0042.ec.fits: ap = 72, w1 = 4621.362, w2 = 4523.944, dw = -0.05904, nw = 1651 Venus_day.0042.ec.fits: ap = 73, w1 = 4584.399, w2 = 4487.763, dw = -0.05857, nw = 1651 Venus_day.0042.ec.fits: ap = 74, w1 = 4548.022, w2 = 4452.156, dw = -0.0581, nw = 1651 Venus_day.0042.ec.fits: ap = 75, w1 = 4512.219, w2 = 4417.111, dw = -0.05764, nw = 1651 Venus_day.0042.ec.fits: ap = 76, w1 = 4476.974, w2 = 4382.613, dw = -0.05719, nw = 1651 Venus_day.0042.ec.fits: ap = 77, w1 = 4442.277, w2 = 4348.651, dw = -0.05674, nw = 1651 Venus_day.0042.ec.fits: ap = 78, w1 = 4408.113, w2 = 4315.211, dw = -0.0563, nw = 1651 Venus_day.0042.ec.fits: ap = 79, w1 = 4374.47, w2 = 4282.282, dw = -0.05587, nw = 1651 Venus_day.0042.ec.fits: ap = 80, w1 = 4341.338, w2 = 4249.852, dw = -0.05545, nw = 1651 Venus_day.0042.ec.fits: ap = 81, w1 = 4308.703, w2 = 4217.91, dw = -0.05503, nw = 1651 Venus_day.0042.ec.fits: ap = 82, w1 = 4276.556, w2 = 4186.445, dw = -0.05461, nw = 1651 Venus_day.0042.ec.fits: ap = 83, w1 = 4244.885, w2 = 4155.446, dw = -0.05421, nw = 1651 Venus_day.0042.ec.fits: ap = 84, w1 = 4213.68, w2 = 4124.904, dw = -0.0538, nw = 1651 Venus_day.0042.ec.fits: ap = 85, w1 = 4182.93, w2 = 4094.807, dw = -0.05341, nw = 1651 Venus_day.0042.ec.fits: ap = 86, w1 = 4152.626, w2 = 4065.147, dw = -0.05302, nw = 1651 Venus_day.0042.ec.fits: ap = 87, w1 = 4122.758, w2 = 4035.914, dw = -0.05263, nw = 1651 Venus_day.0042.ec.fits: ap = 88, w1 = 4093.316, w2 = 4007.099, dw = -0.05225, nw = 1651 Venus_day.0042.ec.fits: ap = 89, w1 = 4064.292, w2 = 3978.693, dw = -0.05188, nw = 1651 Venus_day.0042.ec.fits: ap = 90, w1 = 4035.677, w2 = 3950.687, dw = -0.05151, nw = 1651 Venus_day.0042.ec.fits: ap = 91, w1 = 4007.462, w2 = 3923.073, dw = -0.05114, nw = 1651 Venus_day.0042.ec.fits: ap = 92, w1 = 3979.638, w2 = 3895.843, dw = -0.05078, nw = 1651 Venus_day.0042.ec.fits: ap = 93, w1 = 3952.199, w2 = 3868.989, dw = -0.05043, nw = 1651 Venus_day.0042.ec.fits: ap = 94, w1 = 3925.135, w2 = 3842.503, dw = -0.05008, nw = 1651 Venus_day.0042.ec.fits: ap = 95, w1 = 3898.439, w2 = 3816.378, dw = -0.04973, nw = 1651 Venus_day.0042.ec.fits: ap = 96, w1 = 3872.104, w2 = 3790.606, dw = -0.04939, nw = 1651 Venus_day.0042.ec.fits: ap = 97, w1 = 3846.123, w2 = 3765.18, dw = -0.04906, nw = 1651 Venus_day.0042.ec.fits: ap = 98, w1 = 3820.487, w2 = 3740.094, dw = -0.04872, nw = 1651 Venus_day.0042.ec.fits: ap = 99, w1 = 3795.191, w2 = 3715.34, dw = -0.04839, nw = 1651 Venus_day.0042.ec.fits: ap = 100, w1 = 3770.228, w2 = 3690.913, dw = -0.04807, nw = 1651 Venus_day.0042.ec.fits: ap = 101, w1 = 3745.591, w2 = 3666.805, dw = -0.04775, nw = 1651 Venus_day.0042.ec.fits: ap = 102, w1 = 3721.274, w2 = 3643.01, dw = -0.04743, nw = 1651 Venus_day.0042.ec.fits: ap = 103, w1 = 3697.271, w2 = 3619.523, dw = -0.04712, nw = 1651 Venus_day.0042.ec.fits: ap = 104, w1 = 3673.575, w2 = 3596.337, dw = -0.04681, nw = 1651 Venus_day.0042.ec.fits: ap = 105, w1 = 3650.181, w2 = 3573.447, dw = -0.04651, nw = 1651 Venus_day.0042.ec.fits: ap = 106, w1 = 3627.082, w2 = 3550.847, dw = -0.0462, nw = 1651 Venus_day.0042.ec.fits: ap = 107, w1 = 3604.274, w2 = 3528.532, dw = -0.0459, nw = 1651 Venus_day.0042.ec.fits: ap = 108, w1 = 3581.751, w2 = 3506.496, dw = -0.04561, nw = 1651 Venus_day.0042.ec.fits: ap = 109, w1 = 3559.508, w2 = 3484.735, dw = -0.04532, nw = 1651 Venus_day.0042.ec.fits: ap = 110, w1 = 3537.539, w2 = 3463.242, dw = -0.04503, nw = 1651 Venus_day.0042.ec.fits: ap = 111, w1 = 3515.84, w2 = 3442.014, dw = -0.04474, nw = 1651 Venus_day.0042.ec.fits: ap = 112, w1 = 3494.404, w2 = 3421.044, dw = -0.04446, nw = 1651 Venus_day.0042.ec.fits: ap = 113, w1 = 3473.229, w2 = 3400.33, dw = -0.04418, nw = 1651 Venus_day.0042.ec.fits: ap = 114, w1 = 3452.308, w2 = 3379.865, dw = -0.0439, nw = 1651 Venus_day.0042.ec.fits: ap = 115, w1 = 3431.638, w2 = 3359.646, dw = -0.04363, nw = 1651 Venus_night.0023.ec.fits: REFSPEC1 = 'ThAr.0015.ec 1.' Venus_night.0023.ec.fits: ap = 1, w1 = 10811.12, w2 = 10583.03, dw = -0.13823, nw = 1651 Venus_night.0023.ec.fits: ap = 2, w1 = 10610.93, w2 = 10387.06, dw = -0.13568, nw = 1651 Venus_night.0023.ec.fits: ap = 3, w1 = 10418.03, w2 = 10198.22, dw = -0.13322, nw = 1651 Venus_night.0023.ec.fits: ap = 4, w1 = 10232.01, w2 = 10016.12, dw = -0.13084, nw = 1651 Venus_night.0023.ec.fits: ap = 5, w1 = 10052.52, w2 = 9840.416, dw = -0.12855, nw = 1651 Venus_night.0023.ec.fits: ap = 6, w1 = 9879.219, w2 = 9670.767, dw = -0.12633, nw = 1651 Venus_night.0023.ec.fits: ap = 7, w1 = 9711.791, w2 = 9506.869, dw = -0.12419, nw = 1651 Venus_night.0023.ec.fits: ap = 8, w1 = 9549.944, w2 = 9348.435, dw = -0.12213, nw = 1651 Venus_night.0023.ec.fits: ap = 9, w1 = 9393.403, w2 = 9195.195, dw = -0.12013, nw = 1651 Venus_night.0023.ec.fits: ap = 10, w1 = 9241.912, w2 = 9046.899, dw = -0.11819, nw = 1651 Venus_night.0023.ec.fits: ap = 11, w1 = 9095.229, w2 = 8903.31, dw = -0.11631, nw = 1651 Venus_night.0023.ec.fits: ap = 12, w1 = 8953.13, w2 = 8764.209, dw = -0.1145, nw = 1651 Venus_night.0023.ec.fits: ap = 13, w1 = 8815.403, w2 = 8629.387, dw = -0.11274, nw = 1651 Venus_night.0023.ec.fits: ap = 14, w1 = 8681.849, w2 = 8498.652, dw = -0.11103, nw = 1651 Venus_night.0023.ec.fits: ap = 15, w1 = 8552.282, w2 = 8371.819, dw = -0.10937, nw = 1651 Venus_night.0023.ec.fits: ap = 16, w1 = 8426.525, w2 = 8248.716, dw = -0.10776, nw = 1651 Venus_night.0023.ec.fits: ap = 17, w1 = 8304.413, w2 = 8129.182, dw = -0.1062, nw = 1651 Venus_night.0023.ec.fits: ap = 18, w1 = 8185.79, w2 = 8013.063, dw = -0.10468, nw = 1651 Venus_night.0023.ec.fits: ap = 19, w1 = 8070.509, w2 = 7900.215, dw = -0.10321, nw = 1651 Venus_night.0023.ec.fits: ap = 20, w1 = 7958.429, w2 = 7790.501, dw = -0.10177, nw = 1651 Venus_night.0023.ec.fits: ap = 21, w1 = 7849.42, w2 = 7683.794, dw = -0.10038, nw = 1651 Venus_night.0023.ec.fits: ap = 22, w1 = 7743.357, w2 = 7579.971, dw = -0.09902, nw = 1651 Venus_night.0023.ec.fits: ap = 23, w1 = 7640.122, w2 = 7478.916, dw = -0.0977, nw = 1651 Venus_night.0023.ec.fits: ap = 24, w1 = 7539.604, w2 = 7380.521, dw = -0.09641, nw = 1651 Venus_night.0023.ec.fits: ap = 25, w1 = 7441.697, w2 = 7284.681, dw = -0.09516, nw = 1651 Venus_night.0023.ec.fits: ap = 26, w1 = 7346.3, w2 = 7191.299, dw = -0.09394, nw = 1651 Venus_night.0023.ec.fits: ap = 27, w1 = 7253.318, w2 = 7100.281, dw = -0.09275, nw = 1651 Venus_night.0023.ec.fits: ap = 28, w1 = 7162.661, w2 = 7011.539, dw = -0.09159, nw = 1651 Venus_night.0023.ec.fits: ap = 29, w1 = 7074.242, w2 = 6924.988, dw = -0.09046, nw = 1651 Venus_night.0023.ec.fits: ap = 30, w1 = 6987.98, w2 = 6840.548, dw = -0.08935, nw = 1651 Venus_night.0023.ec.fits: ap = 31, w1 = 6903.796, w2 = 6758.142, dw = -0.08827, nw = 1651 Venus_night.0023.ec.fits: ap = 32, w1 = 6821.616, w2 = 6677.699, dw = -0.08722, nw = 1651 Venus_night.0023.ec.fits: ap = 33, w1 = 6741.371, w2 = 6599.148, dw = -0.0862, nw = 1651 Venus_night.0023.ec.fits: ap = 34, w1 = 6662.991, w2 = 6522.425, dw = -0.08519, nw = 1651 Venus_night.0023.ec.fits: ap = 35, w1 = 6586.413, w2 = 6447.465, dw = -0.08421, nw = 1651 Venus_night.0023.ec.fits: ap = 36, w1 = 6511.576, w2 = 6374.209, dw = -0.08325, nw = 1651 Venus_night.0023.ec.fits: ap = 37, w1 = 6438.421, w2 = 6302.599, dw = -0.08232, nw = 1651 Venus_night.0023.ec.fits: ap = 38, w1 = 6366.891, w2 = 6232.58, dw = -0.0814, nw = 1651 Venus_night.0023.ec.fits: ap = 39, w1 = 6296.933, w2 = 6164.101, dw = -0.0805, nw = 1651 Venus_night.0023.ec.fits: ap = 40, w1 = 6228.496, w2 = 6097.11, dw = -0.07963, nw = 1651 Venus_night.0023.ec.fits: ap = 41, w1 = 6161.531, w2 = 6031.56, dw = -0.07877, nw = 1651 Venus_night.0023.ec.fits: ap = 42, w1 = 6095.991, w2 = 5967.404, dw = -0.07793, nw = 1651 Venus_night.0023.ec.fits: ap = 43, w1 = 6031.831, w2 = 5904.599, dw = -0.07711, nw = 1651 Venus_night.0023.ec.fits: ap = 44, w1 = 5969.007, w2 = 5843.103, dw = -0.07631, nw = 1651 Venus_night.0023.ec.fits: ap = 45, w1 = 5907.479, w2 = 5782.875, dw = -0.07552, nw = 1651 Venus_night.0023.ec.fits: ap = 46, w1 = 5847.206, w2 = 5723.876, dw = -0.07475, nw = 1651 Venus_night.0023.ec.fits: ap = 47, w1 = 5788.152, w2 = 5666.069, dw = -0.07399, nw = 1651 Venus_night.0023.ec.fits: ap = 48, w1 = 5730.278, w2 = 5609.418, dw = -0.07325, nw = 1651 Venus_night.0023.ec.fits: ap = 49, w1 = 5673.55, w2 = 5553.889, dw = -0.07252, nw = 1651 Venus_night.0023.ec.fits: ap = 50, w1 = 5617.935, w2 = 5499.449, dw = -0.07181, nw = 1651 Venus_night.0023.ec.fits: ap = 51, w1 = 5563.4, w2 = 5446.066, dw = -0.07111, nw = 1651 Venus_night.0023.ec.fits: ap = 52, w1 = 5509.914, w2 = 5393.71, dw = -0.07043, nw = 1651 Venus_night.0023.ec.fits: ap = 53, w1 = 5457.446, w2 = 5342.351, dw = -0.06975, nw = 1651 Venus_night.0023.ec.fits: ap = 54, w1 = 5405.969, w2 = 5291.961, dw = -0.0691, nw = 1651 Venus_night.0023.ec.fits: ap = 55, w1 = 5355.453, w2 = 5242.514, dw = -0.06845, nw = 1651 Venus_night.0023.ec.fits: ap = 56, w1 = 5305.874, w2 = 5193.982, dw = -0.06781, nw = 1651 Venus_night.0023.ec.fits: ap = 57, w1 = 5257.204, w2 = 5146.34, dw = -0.06719, nw = 1651 Venus_night.0023.ec.fits: ap = 58, w1 = 5209.419, w2 = 5099.565, dw = -0.06658, nw = 1651 Venus_night.0023.ec.fits: ap = 59, w1 = 5162.495, w2 = 5053.633, dw = -0.06598, nw = 1651 Venus_night.0023.ec.fits: ap = 60, w1 = 5116.409, w2 = 5008.521, dw = -0.06539, nw = 1651 Venus_night.0023.ec.fits: ap = 61, w1 = 5071.139, w2 = 4964.208, dw = -0.06481, nw = 1651 Venus_night.0023.ec.fits: ap = 62, w1 = 5026.663, w2 = 4920.672, dw = -0.06424, nw = 1651 Venus_night.0023.ec.fits: ap = 63, w1 = 4982.961, w2 = 4877.894, dw = -0.06368, nw = 1651 Venus_night.0023.ec.fits: ap = 64, w1 = 4940.012, w2 = 4835.853, dw = -0.06313, nw = 1651 Venus_night.0023.ec.fits: ap = 65, w1 = 4897.798, w2 = 4794.531, dw = -0.06259, nw = 1651 Venus_night.0023.ec.fits: ap = 66, w1 = 4856.299, w2 = 4753.91, dw = -0.06205, nw = 1651 Venus_night.0023.ec.fits: ap = 67, w1 = 4815.497, w2 = 4713.971, dw = -0.06153, nw = 1651 Venus_night.0023.ec.fits: ap = 68, w1 = 4775.376, w2 = 4674.699, dw = -0.06102, nw = 1651 Venus_night.0023.ec.fits: ap = 69, w1 = 4735.918, w2 = 4636.075, dw = -0.06051, nw = 1651 Venus_night.0023.ec.fits: ap = 70, w1 = 4697.107, w2 = 4598.085, dw = -0.06001, nw = 1651 Venus_night.0023.ec.fits: ap = 71, w1 = 4658.926, w2 = 4560.713, dw = -0.05952, nw = 1651 Venus_night.0023.ec.fits: ap = 72, w1 = 4621.362, w2 = 4523.944, dw = -0.05904, nw = 1651 Venus_night.0023.ec.fits: ap = 73, w1 = 4584.399, w2 = 4487.763, dw = -0.05857, nw = 1651 Venus_night.0023.ec.fits: ap = 74, w1 = 4548.022, w2 = 4452.156, dw = -0.0581, nw = 1651 Venus_night.0023.ec.fits: ap = 75, w1 = 4512.219, w2 = 4417.111, dw = -0.05764, nw = 1651 Venus_night.0023.ec.fits: ap = 76, w1 = 4476.974, w2 = 4382.613, dw = -0.05719, nw = 1651 Venus_night.0023.ec.fits: ap = 77, w1 = 4442.277, w2 = 4348.651, dw = -0.05674, nw = 1651 Venus_night.0023.ec.fits: ap = 78, w1 = 4408.113, w2 = 4315.211, dw = -0.0563, nw = 1651 Venus_night.0023.ec.fits: ap = 79, w1 = 4374.47, w2 = 4282.282, dw = -0.05587, nw = 1651 Venus_night.0023.ec.fits: ap = 80, w1 = 4341.338, w2 = 4249.852, dw = -0.05545, nw = 1651 Venus_night.0023.ec.fits: ap = 81, w1 = 4308.703, w2 = 4217.91, dw = -0.05503, nw = 1651 Venus_night.0023.ec.fits: ap = 82, w1 = 4276.556, w2 = 4186.445, dw = -0.05461, nw = 1651 Venus_night.0023.ec.fits: ap = 83, w1 = 4244.885, w2 = 4155.446, dw = -0.05421, nw = 1651 Venus_night.0023.ec.fits: ap = 84, w1 = 4213.68, w2 = 4124.904, dw = -0.0538, nw = 1651 Venus_night.0023.ec.fits: ap = 85, w1 = 4182.93, w2 = 4094.807, dw = -0.05341, nw = 1651 Venus_night.0023.ec.fits: ap = 86, w1 = 4152.626, w2 = 4065.147, dw = -0.05302, nw = 1651 Venus_night.0023.ec.fits: ap = 87, w1 = 4122.758, w2 = 4035.914, dw = -0.05263, nw = 1651 Venus_night.0023.ec.fits: ap = 88, w1 = 4093.316, w2 = 4007.099, dw = -0.05225, nw = 1651 Venus_night.0023.ec.fits: ap = 89, w1 = 4064.292, w2 = 3978.693, dw = -0.05188, nw = 1651 Venus_night.0023.ec.fits: ap = 90, w1 = 4035.677, w2 = 3950.687, dw = -0.05151, nw = 1651 Venus_night.0023.ec.fits: ap = 91, w1 = 4007.462, w2 = 3923.073, dw = -0.05114, nw = 1651 Venus_night.0023.ec.fits: ap = 92, w1 = 3979.638, w2 = 3895.843, dw = -0.05078, nw = 1651 Venus_night.0023.ec.fits: ap = 93, w1 = 3952.199, w2 = 3868.989, dw = -0.05043, nw = 1651 Venus_night.0023.ec.fits: ap = 94, w1 = 3925.135, w2 = 3842.503, dw = -0.05008, nw = 1651 Venus_night.0023.ec.fits: ap = 95, w1 = 3898.439, w2 = 3816.378, dw = -0.04973, nw = 1651 Venus_night.0023.ec.fits: ap = 96, w1 = 3872.104, w2 = 3790.606, dw = -0.04939, nw = 1651 Venus_night.0023.ec.fits: ap = 97, w1 = 3846.123, w2 = 3765.18, dw = -0.04906, nw = 1651 Venus_night.0023.ec.fits: ap = 98, w1 = 3820.487, w2 = 3740.094, dw = -0.04872, nw = 1651 Venus_night.0023.ec.fits: ap = 99, w1 = 3795.191, w2 = 3715.34, dw = -0.04839, nw = 1651 Venus_night.0023.ec.fits: ap = 100, w1 = 3770.228, w2 = 3690.913, dw = -0.04807, nw = 1651 Venus_night.0023.ec.fits: ap = 101, w1 = 3745.591, w2 = 3666.805, dw = -0.04775, nw = 1651 Venus_night.0023.ec.fits: ap = 102, w1 = 3721.274, w2 = 3643.01, dw = -0.04743, nw = 1651 Venus_night.0023.ec.fits: ap = 103, w1 = 3697.271, w2 = 3619.523, dw = -0.04712, nw = 1651 Venus_night.0023.ec.fits: ap = 104, w1 = 3673.575, w2 = 3596.337, dw = -0.04681, nw = 1651 Venus_night.0023.ec.fits: ap = 105, w1 = 3650.181, w2 = 3573.447, dw = -0.04651, nw = 1651 Venus_night.0023.ec.fits: ap = 106, w1 = 3627.082, w2 = 3550.847, dw = -0.0462, nw = 1651 Venus_night.0023.ec.fits: ap = 107, w1 = 3604.274, w2 = 3528.532, dw = -0.0459, nw = 1651 Venus_night.0023.ec.fits: ap = 108, w1 = 3581.751, w2 = 3506.496, dw = -0.04561, nw = 1651 Venus_night.0023.ec.fits: ap = 109, w1 = 3559.508, w2 = 3484.735, dw = -0.04532, nw = 1651 Venus_night.0023.ec.fits: ap = 110, w1 = 3537.539, w2 = 3463.242, dw = -0.04503, nw = 1651 Venus_night.0023.ec.fits: ap = 111, w1 = 3515.84, w2 = 3442.014, dw = -0.04474, nw = 1651 Venus_night.0023.ec.fits: ap = 112, w1 = 3494.404, w2 = 3421.044, dw = -0.04446, nw = 1651 Venus_night.0023.ec.fits: ap = 113, w1 = 3473.229, w2 = 3400.33, dw = -0.04418, nw = 1651 Venus_night.0023.ec.fits: ap = 114, w1 = 3452.308, w2 = 3379.865, dw = -0.0439, nw = 1651 Venus_night.0023.ec.fits: ap = 115, w1 = 3431.638, w2 = 3359.646, dw = -0.04363, nw = 1651 Venus_night.0028.ec.fits: REFSPEC1 = 'ThAr.0015.ec 1.' Venus_night.0028.ec.fits: ap = 1, w1 = 10811.12, w2 = 10583.03, dw = -0.13823, nw = 1651 Venus_night.0028.ec.fits: ap = 2, w1 = 10610.93, w2 = 10387.06, dw = -0.13568, nw = 1651 Venus_night.0028.ec.fits: ap = 3, w1 = 10418.03, w2 = 10198.22, dw = -0.13322, nw = 1651 Venus_night.0028.ec.fits: ap = 4, w1 = 10232.01, w2 = 10016.12, dw = -0.13084, nw = 1651 Venus_night.0028.ec.fits: ap = 5, w1 = 10052.52, w2 = 9840.416, dw = -0.12855, nw = 1651 Venus_night.0028.ec.fits: ap = 6, w1 = 9879.219, w2 = 9670.767, dw = -0.12633, nw = 1651 Venus_night.0028.ec.fits: ap = 7, w1 = 9711.791, w2 = 9506.869, dw = -0.12419, nw = 1651 Venus_night.0028.ec.fits: ap = 8, w1 = 9549.944, w2 = 9348.435, dw = -0.12213, nw = 1651 Venus_night.0028.ec.fits: ap = 9, w1 = 9393.403, w2 = 9195.195, dw = -0.12013, nw = 1651 Venus_night.0028.ec.fits: ap = 10, w1 = 9241.912, w2 = 9046.899, dw = -0.11819, nw = 1651 Venus_night.0028.ec.fits: ap = 11, w1 = 9095.229, w2 = 8903.31, dw = -0.11631, nw = 1651 Venus_night.0028.ec.fits: ap = 12, w1 = 8953.13, w2 = 8764.209, dw = -0.1145, nw = 1651 Venus_night.0028.ec.fits: ap = 13, w1 = 8815.403, w2 = 8629.387, dw = -0.11274, nw = 1651 Venus_night.0028.ec.fits: ap = 14, w1 = 8681.849, w2 = 8498.652, dw = -0.11103, nw = 1651 Venus_night.0028.ec.fits: ap = 15, w1 = 8552.282, w2 = 8371.819, dw = -0.10937, nw = 1651 Venus_night.0028.ec.fits: ap = 16, w1 = 8426.525, w2 = 8248.716, dw = -0.10776, nw = 1651 Venus_night.0028.ec.fits: ap = 17, w1 = 8304.413, w2 = 8129.182, dw = -0.1062, nw = 1651 Venus_night.0028.ec.fits: ap = 18, w1 = 8185.79, w2 = 8013.063, dw = -0.10468, nw = 1651 Venus_night.0028.ec.fits: ap = 19, w1 = 8070.509, w2 = 7900.215, dw = -0.10321, nw = 1651 Venus_night.0028.ec.fits: ap = 20, w1 = 7958.429, w2 = 7790.501, dw = -0.10177, nw = 1651 Venus_night.0028.ec.fits: ap = 21, w1 = 7849.42, w2 = 7683.794, dw = -0.10038, nw = 1651 Venus_night.0028.ec.fits: ap = 22, w1 = 7743.357, w2 = 7579.971, dw = -0.09902, nw = 1651 Venus_night.0028.ec.fits: ap = 23, w1 = 7640.122, w2 = 7478.916, dw = -0.0977, nw = 1651 Venus_night.0028.ec.fits: ap = 24, w1 = 7539.604, w2 = 7380.521, dw = -0.09641, nw = 1651 Venus_night.0028.ec.fits: ap = 25, w1 = 7441.697, w2 = 7284.681, dw = -0.09516, nw = 1651 Venus_night.0028.ec.fits: ap = 26, w1 = 7346.3, w2 = 7191.299, dw = -0.09394, nw = 1651 Venus_night.0028.ec.fits: ap = 27, w1 = 7253.318, w2 = 7100.281, dw = -0.09275, nw = 1651 Venus_night.0028.ec.fits: ap = 28, w1 = 7162.661, w2 = 7011.539, dw = -0.09159, nw = 1651 Venus_night.0028.ec.fits: ap = 29, w1 = 7074.242, w2 = 6924.988, dw = -0.09046, nw = 1651 Venus_night.0028.ec.fits: ap = 30, w1 = 6987.98, w2 = 6840.548, dw = -0.08935, nw = 1651 Venus_night.0028.ec.fits: ap = 31, w1 = 6903.796, w2 = 6758.142, dw = -0.08827, nw = 1651 Venus_night.0028.ec.fits: ap = 32, w1 = 6821.616, w2 = 6677.699, dw = -0.08722, nw = 1651 Venus_night.0028.ec.fits: ap = 33, w1 = 6741.371, w2 = 6599.148, dw = -0.0862, nw = 1651 Venus_night.0028.ec.fits: ap = 34, w1 = 6662.991, w2 = 6522.425, dw = -0.08519, nw = 1651 Venus_night.0028.ec.fits: ap = 35, w1 = 6586.413, w2 = 6447.465, dw = -0.08421, nw = 1651 Venus_night.0028.ec.fits: ap = 36, w1 = 6511.576, w2 = 6374.209, dw = -0.08325, nw = 1651 Venus_night.0028.ec.fits: ap = 37, w1 = 6438.421, w2 = 6302.599, dw = -0.08232, nw = 1651 Venus_night.0028.ec.fits: ap = 38, w1 = 6366.891, w2 = 6232.58, dw = -0.0814, nw = 1651 Venus_night.0028.ec.fits: ap = 39, w1 = 6296.933, w2 = 6164.101, dw = -0.0805, nw = 1651 Venus_night.0028.ec.fits: ap = 40, w1 = 6228.496, w2 = 6097.11, dw = -0.07963, nw = 1651 Venus_night.0028.ec.fits: ap = 41, w1 = 6161.531, w2 = 6031.56, dw = -0.07877, nw = 1651 Venus_night.0028.ec.fits: ap = 42, w1 = 6095.991, w2 = 5967.404, dw = -0.07793, nw = 1651 Venus_night.0028.ec.fits: ap = 43, w1 = 6031.831, w2 = 5904.599, dw = -0.07711, nw = 1651 Venus_night.0028.ec.fits: ap = 44, w1 = 5969.007, w2 = 5843.103, dw = -0.07631, nw = 1651 Venus_night.0028.ec.fits: ap = 45, w1 = 5907.479, w2 = 5782.875, dw = -0.07552, nw = 1651 Venus_night.0028.ec.fits: ap = 46, w1 = 5847.206, w2 = 5723.876, dw = -0.07475, nw = 1651 Venus_night.0028.ec.fits: ap = 47, w1 = 5788.152, w2 = 5666.069, dw = -0.07399, nw = 1651 Venus_night.0028.ec.fits: ap = 48, w1 = 5730.278, w2 = 5609.418, dw = -0.07325, nw = 1651 Venus_night.0028.ec.fits: ap = 49, w1 = 5673.55, w2 = 5553.889, dw = -0.07252, nw = 1651 Venus_night.0028.ec.fits: ap = 50, w1 = 5617.935, w2 = 5499.449, dw = -0.07181, nw = 1651 Venus_night.0028.ec.fits: ap = 51, w1 = 5563.4, w2 = 5446.066, dw = -0.07111, nw = 1651 Venus_night.0028.ec.fits: ap = 52, w1 = 5509.914, w2 = 5393.71, dw = -0.07043, nw = 1651 Venus_night.0028.ec.fits: ap = 53, w1 = 5457.446, w2 = 5342.351, dw = -0.06975, nw = 1651 Venus_night.0028.ec.fits: ap = 54, w1 = 5405.969, w2 = 5291.961, dw = -0.0691, nw = 1651 Venus_night.0028.ec.fits: ap = 55, w1 = 5355.453, w2 = 5242.514, dw = -0.06845, nw = 1651 Venus_night.0028.ec.fits: ap = 56, w1 = 5305.874, w2 = 5193.982, dw = -0.06781, nw = 1651 Venus_night.0028.ec.fits: ap = 57, w1 = 5257.204, w2 = 5146.34, dw = -0.06719, nw = 1651 Venus_night.0028.ec.fits: ap = 58, w1 = 5209.419, w2 = 5099.565, dw = -0.06658, nw = 1651 Venus_night.0028.ec.fits: ap = 59, w1 = 5162.495, w2 = 5053.633, dw = -0.06598, nw = 1651 Venus_night.0028.ec.fits: ap = 60, w1 = 5116.409, w2 = 5008.521, dw = -0.06539, nw = 1651 Venus_night.0028.ec.fits: ap = 61, w1 = 5071.139, w2 = 4964.208, dw = -0.06481, nw = 1651 Venus_night.0028.ec.fits: ap = 62, w1 = 5026.663, w2 = 4920.672, dw = -0.06424, nw = 1651 Venus_night.0028.ec.fits: ap = 63, w1 = 4982.961, w2 = 4877.894, dw = -0.06368, nw = 1651 Venus_night.0028.ec.fits: ap = 64, w1 = 4940.012, w2 = 4835.853, dw = -0.06313, nw = 1651 Venus_night.0028.ec.fits: ap = 65, w1 = 4897.798, w2 = 4794.531, dw = -0.06259, nw = 1651 Venus_night.0028.ec.fits: ap = 66, w1 = 4856.299, w2 = 4753.91, dw = -0.06205, nw = 1651 Venus_night.0028.ec.fits: ap = 67, w1 = 4815.497, w2 = 4713.971, dw = -0.06153, nw = 1651 Venus_night.0028.ec.fits: ap = 68, w1 = 4775.376, w2 = 4674.699, dw = -0.06102, nw = 1651 Venus_night.0028.ec.fits: ap = 69, w1 = 4735.918, w2 = 4636.075, dw = -0.06051, nw = 1651 Venus_night.0028.ec.fits: ap = 70, w1 = 4697.107, w2 = 4598.085, dw = -0.06001, nw = 1651 Venus_night.0028.ec.fits: ap = 71, w1 = 4658.926, w2 = 4560.713, dw = -0.05952, nw = 1651 Venus_night.0028.ec.fits: ap = 72, w1 = 4621.362, w2 = 4523.944, dw = -0.05904, nw = 1651 Venus_night.0028.ec.fits: ap = 73, w1 = 4584.399, w2 = 4487.763, dw = -0.05857, nw = 1651 Venus_night.0028.ec.fits: ap = 74, w1 = 4548.022, w2 = 4452.156, dw = -0.0581, nw = 1651 Venus_night.0028.ec.fits: ap = 75, w1 = 4512.219, w2 = 4417.111, dw = -0.05764, nw = 1651 Venus_night.0028.ec.fits: ap = 76, w1 = 4476.974, w2 = 4382.613, dw = -0.05719, nw = 1651 Venus_night.0028.ec.fits: ap = 77, w1 = 4442.277, w2 = 4348.651, dw = -0.05674, nw = 1651 Venus_night.0028.ec.fits: ap = 78, w1 = 4408.113, w2 = 4315.211, dw = -0.0563, nw = 1651 Venus_night.0028.ec.fits: ap = 79, w1 = 4374.47, w2 = 4282.282, dw = -0.05587, nw = 1651 Venus_night.0028.ec.fits: ap = 80, w1 = 4341.338, w2 = 4249.852, dw = -0.05545, nw = 1651 Venus_night.0028.ec.fits: ap = 81, w1 = 4308.703, w2 = 4217.91, dw = -0.05503, nw = 1651 Venus_night.0028.ec.fits: ap = 82, w1 = 4276.556, w2 = 4186.445, dw = -0.05461, nw = 1651 Venus_night.0028.ec.fits: ap = 83, w1 = 4244.885, w2 = 4155.446, dw = -0.05421, nw = 1651 Venus_night.0028.ec.fits: ap = 84, w1 = 4213.68, w2 = 4124.904, dw = -0.0538, nw = 1651 Venus_night.0028.ec.fits: ap = 85, w1 = 4182.93, w2 = 4094.807, dw = -0.05341, nw = 1651 Venus_night.0028.ec.fits: ap = 86, w1 = 4152.626, w2 = 4065.147, dw = -0.05302, nw = 1651 Venus_night.0028.ec.fits: ap = 87, w1 = 4122.758, w2 = 4035.914, dw = -0.05263, nw = 1651 Venus_night.0028.ec.fits: ap = 88, w1 = 4093.316, w2 = 4007.099, dw = -0.05225, nw = 1651 Venus_night.0028.ec.fits: ap = 89, w1 = 4064.292, w2 = 3978.693, dw = -0.05188, nw = 1651 Venus_night.0028.ec.fits: ap = 90, w1 = 4035.677, w2 = 3950.687, dw = -0.05151, nw = 1651 Venus_night.0028.ec.fits: ap = 91, w1 = 4007.462, w2 = 3923.073, dw = -0.05114, nw = 1651 Venus_night.0028.ec.fits: ap = 92, w1 = 3979.638, w2 = 3895.843, dw = -0.05078, nw = 1651 Venus_night.0028.ec.fits: ap = 93, w1 = 3952.199, w2 = 3868.989, dw = -0.05043, nw = 1651 Venus_night.0028.ec.fits: ap = 94, w1 = 3925.135, w2 = 3842.503, dw = -0.05008, nw = 1651 Venus_night.0028.ec.fits: ap = 95, w1 = 3898.439, w2 = 3816.378, dw = -0.04973, nw = 1651 Venus_night.0028.ec.fits: ap = 96, w1 = 3872.104, w2 = 3790.606, dw = -0.04939, nw = 1651 Venus_night.0028.ec.fits: ap = 97, w1 = 3846.123, w2 = 3765.18, dw = -0.04906, nw = 1651 Venus_night.0028.ec.fits: ap = 98, w1 = 3820.487, w2 = 3740.094, dw = -0.04872, nw = 1651 Venus_night.0028.ec.fits: ap = 99, w1 = 3795.191, w2 = 3715.34, dw = -0.04839, nw = 1651 Venus_night.0028.ec.fits: ap = 100, w1 = 3770.228, w2 = 3690.913, dw = -0.04807, nw = 1651 Venus_night.0028.ec.fits: ap = 101, w1 = 3745.591, w2 = 3666.805, dw = -0.04775, nw = 1651 Venus_night.0028.ec.fits: ap = 102, w1 = 3721.274, w2 = 3643.01, dw = -0.04743, nw = 1651 Venus_night.0028.ec.fits: ap = 103, w1 = 3697.271, w2 = 3619.523, dw = -0.04712, nw = 1651 Venus_night.0028.ec.fits: ap = 104, w1 = 3673.575, w2 = 3596.337, dw = -0.04681, nw = 1651 Venus_night.0028.ec.fits: ap = 105, w1 = 3650.181, w2 = 3573.447, dw = -0.04651, nw = 1651 Venus_night.0028.ec.fits: ap = 106, w1 = 3627.082, w2 = 3550.847, dw = -0.0462, nw = 1651 Venus_night.0028.ec.fits: ap = 107, w1 = 3604.274, w2 = 3528.532, dw = -0.0459, nw = 1651 Venus_night.0028.ec.fits: ap = 108, w1 = 3581.751, w2 = 3506.496, dw = -0.04561, nw = 1651 Venus_night.0028.ec.fits: ap = 109, w1 = 3559.508, w2 = 3484.735, dw = -0.04532, nw = 1651 Venus_night.0028.ec.fits: ap = 110, w1 = 3537.539, w2 = 3463.242, dw = -0.04503, nw = 1651 Venus_night.0028.ec.fits: ap = 111, w1 = 3515.84, w2 = 3442.014, dw = -0.04474, nw = 1651 Venus_night.0028.ec.fits: ap = 112, w1 = 3494.404, w2 = 3421.044, dw = -0.04446, nw = 1651 Venus_night.0028.ec.fits: ap = 113, w1 = 3473.229, w2 = 3400.33, dw = -0.04418, nw = 1651 Venus_night.0028.ec.fits: ap = 114, w1 = 3452.308, w2 = 3379.865, dw = -0.0439, nw = 1651 Venus_night.0028.ec.fits: ap = 115, w1 = 3431.638, w2 = 3359.646, dw = -0.04363, nw = 1651 Venus_night.0041.ec.fits: REFSPEC1 = 'ThAr.0015.ec 1.' Venus_night.0041.ec.fits: ap = 1, w1 = 10811.12, w2 = 10583.03, dw = -0.13823, nw = 1651 Venus_night.0041.ec.fits: ap = 2, w1 = 10610.93, w2 = 10387.06, dw = -0.13568, nw = 1651 Venus_night.0041.ec.fits: ap = 3, w1 = 10418.03, w2 = 10198.22, dw = -0.13322, nw = 1651 Venus_night.0041.ec.fits: ap = 4, w1 = 10232.01, w2 = 10016.12, dw = -0.13084, nw = 1651 Venus_night.0041.ec.fits: ap = 5, w1 = 10052.52, w2 = 9840.416, dw = -0.12855, nw = 1651 Venus_night.0041.ec.fits: ap = 6, w1 = 9879.219, w2 = 9670.767, dw = -0.12633, nw = 1651 Venus_night.0041.ec.fits: ap = 7, w1 = 9711.791, w2 = 9506.869, dw = -0.12419, nw = 1651 Venus_night.0041.ec.fits: ap = 8, w1 = 9549.944, w2 = 9348.435, dw = -0.12213, nw = 1651 Venus_night.0041.ec.fits: ap = 9, w1 = 9393.403, w2 = 9195.195, dw = -0.12013, nw = 1651 Venus_night.0041.ec.fits: ap = 10, w1 = 9241.912, w2 = 9046.899, dw = -0.11819, nw = 1651 Venus_night.0041.ec.fits: ap = 11, w1 = 9095.229, w2 = 8903.31, dw = -0.11631, nw = 1651 Venus_night.0041.ec.fits: ap = 12, w1 = 8953.13, w2 = 8764.209, dw = -0.1145, nw = 1651 Venus_night.0041.ec.fits: ap = 13, w1 = 8815.403, w2 = 8629.387, dw = -0.11274, nw = 1651 Venus_night.0041.ec.fits: ap = 14, w1 = 8681.849, w2 = 8498.652, dw = -0.11103, nw = 1651 Venus_night.0041.ec.fits: ap = 15, w1 = 8552.282, w2 = 8371.819, dw = -0.10937, nw = 1651 Venus_night.0041.ec.fits: ap = 16, w1 = 8426.525, w2 = 8248.716, dw = -0.10776, nw = 1651 Venus_night.0041.ec.fits: ap = 17, w1 = 8304.413, w2 = 8129.182, dw = -0.1062, nw = 1651 Venus_night.0041.ec.fits: ap = 18, w1 = 8185.79, w2 = 8013.063, dw = -0.10468, nw = 1651 Venus_night.0041.ec.fits: ap = 19, w1 = 8070.509, w2 = 7900.215, dw = -0.10321, nw = 1651 Venus_night.0041.ec.fits: ap = 20, w1 = 7958.429, w2 = 7790.501, dw = -0.10177, nw = 1651 Venus_night.0041.ec.fits: ap = 21, w1 = 7849.42, w2 = 7683.794, dw = -0.10038, nw = 1651 Venus_night.0041.ec.fits: ap = 22, w1 = 7743.357, w2 = 7579.971, dw = -0.09902, nw = 1651 Venus_night.0041.ec.fits: ap = 23, w1 = 7640.122, w2 = 7478.916, dw = -0.0977, nw = 1651 Venus_night.0041.ec.fits: ap = 24, w1 = 7539.604, w2 = 7380.521, dw = -0.09641, nw = 1651 Venus_night.0041.ec.fits: ap = 25, w1 = 7441.697, w2 = 7284.681, dw = -0.09516, nw = 1651 Venus_night.0041.ec.fits: ap = 26, w1 = 7346.3, w2 = 7191.299, dw = -0.09394, nw = 1651 Venus_night.0041.ec.fits: ap = 27, w1 = 7253.318, w2 = 7100.281, dw = -0.09275, nw = 1651 Venus_night.0041.ec.fits: ap = 28, w1 = 7162.661, w2 = 7011.539, dw = -0.09159, nw = 1651 Venus_night.0041.ec.fits: ap = 29, w1 = 7074.242, w2 = 6924.988, dw = -0.09046, nw = 1651 Venus_night.0041.ec.fits: ap = 30, w1 = 6987.98, w2 = 6840.548, dw = -0.08935, nw = 1651 Venus_night.0041.ec.fits: ap = 31, w1 = 6903.796, w2 = 6758.142, dw = -0.08827, nw = 1651 Venus_night.0041.ec.fits: ap = 32, w1 = 6821.616, w2 = 6677.699, dw = -0.08722, nw = 1651 Venus_night.0041.ec.fits: ap = 33, w1 = 6741.371, w2 = 6599.148, dw = -0.0862, nw = 1651 Venus_night.0041.ec.fits: ap = 34, w1 = 6662.991, w2 = 6522.425, dw = -0.08519, nw = 1651 Venus_night.0041.ec.fits: ap = 35, w1 = 6586.413, w2 = 6447.465, dw = -0.08421, nw = 1651 Venus_night.0041.ec.fits: ap = 36, w1 = 6511.576, w2 = 6374.209, dw = -0.08325, nw = 1651 Venus_night.0041.ec.fits: ap = 37, w1 = 6438.421, w2 = 6302.599, dw = -0.08232, nw = 1651 Venus_night.0041.ec.fits: ap = 38, w1 = 6366.891, w2 = 6232.58, dw = -0.0814, nw = 1651 Venus_night.0041.ec.fits: ap = 39, w1 = 6296.933, w2 = 6164.101, dw = -0.0805, nw = 1651 Venus_night.0041.ec.fits: ap = 40, w1 = 6228.496, w2 = 6097.11, dw = -0.07963, nw = 1651 Venus_night.0041.ec.fits: ap = 41, w1 = 6161.531, w2 = 6031.56, dw = -0.07877, nw = 1651 Venus_night.0041.ec.fits: ap = 42, w1 = 6095.991, w2 = 5967.404, dw = -0.07793, nw = 1651 Venus_night.0041.ec.fits: ap = 43, w1 = 6031.831, w2 = 5904.599, dw = -0.07711, nw = 1651 Venus_night.0041.ec.fits: ap = 44, w1 = 5969.007, w2 = 5843.103, dw = -0.07631, nw = 1651 Venus_night.0041.ec.fits: ap = 45, w1 = 5907.479, w2 = 5782.875, dw = -0.07552, nw = 1651 Venus_night.0041.ec.fits: ap = 46, w1 = 5847.206, w2 = 5723.876, dw = -0.07475, nw = 1651 Venus_night.0041.ec.fits: ap = 47, w1 = 5788.152, w2 = 5666.069, dw = -0.07399, nw = 1651 Venus_night.0041.ec.fits: ap = 48, w1 = 5730.278, w2 = 5609.418, dw = -0.07325, nw = 1651 Venus_night.0041.ec.fits: ap = 49, w1 = 5673.55, w2 = 5553.889, dw = -0.07252, nw = 1651 Venus_night.0041.ec.fits: ap = 50, w1 = 5617.935, w2 = 5499.449, dw = -0.07181, nw = 1651 Venus_night.0041.ec.fits: ap = 51, w1 = 5563.4, w2 = 5446.066, dw = -0.07111, nw = 1651 Venus_night.0041.ec.fits: ap = 52, w1 = 5509.914, w2 = 5393.71, dw = -0.07043, nw = 1651 Venus_night.0041.ec.fits: ap = 53, w1 = 5457.446, w2 = 5342.351, dw = -0.06975, nw = 1651 Venus_night.0041.ec.fits: ap = 54, w1 = 5405.969, w2 = 5291.961, dw = -0.0691, nw = 1651 Venus_night.0041.ec.fits: ap = 55, w1 = 5355.453, w2 = 5242.514, dw = -0.06845, nw = 1651 Venus_night.0041.ec.fits: ap = 56, w1 = 5305.874, w2 = 5193.982, dw = -0.06781, nw = 1651 Venus_night.0041.ec.fits: ap = 57, w1 = 5257.204, w2 = 5146.34, dw = -0.06719, nw = 1651 Venus_night.0041.ec.fits: ap = 58, w1 = 5209.419, w2 = 5099.565, dw = -0.06658, nw = 1651 Venus_night.0041.ec.fits: ap = 59, w1 = 5162.495, w2 = 5053.633, dw = -0.06598, nw = 1651 Venus_night.0041.ec.fits: ap = 60, w1 = 5116.409, w2 = 5008.521, dw = -0.06539, nw = 1651 Venus_night.0041.ec.fits: ap = 61, w1 = 5071.139, w2 = 4964.208, dw = -0.06481, nw = 1651 Venus_night.0041.ec.fits: ap = 62, w1 = 5026.663, w2 = 4920.672, dw = -0.06424, nw = 1651 Venus_night.0041.ec.fits: ap = 63, w1 = 4982.961, w2 = 4877.894, dw = -0.06368, nw = 1651 Venus_night.0041.ec.fits: ap = 64, w1 = 4940.012, w2 = 4835.853, dw = -0.06313, nw = 1651 Venus_night.0041.ec.fits: ap = 65, w1 = 4897.798, w2 = 4794.531, dw = -0.06259, nw = 1651 Venus_night.0041.ec.fits: ap = 66, w1 = 4856.299, w2 = 4753.91, dw = -0.06205, nw = 1651 Venus_night.0041.ec.fits: ap = 67, w1 = 4815.497, w2 = 4713.971, dw = -0.06153, nw = 1651 Venus_night.0041.ec.fits: ap = 68, w1 = 4775.376, w2 = 4674.699, dw = -0.06102, nw = 1651 Venus_night.0041.ec.fits: ap = 69, w1 = 4735.918, w2 = 4636.075, dw = -0.06051, nw = 1651 Venus_night.0041.ec.fits: ap = 70, w1 = 4697.107, w2 = 4598.085, dw = -0.06001, nw = 1651 Venus_night.0041.ec.fits: ap = 71, w1 = 4658.926, w2 = 4560.713, dw = -0.05952, nw = 1651 Venus_night.0041.ec.fits: ap = 72, w1 = 4621.362, w2 = 4523.944, dw = -0.05904, nw = 1651 Venus_night.0041.ec.fits: ap = 73, w1 = 4584.399, w2 = 4487.763, dw = -0.05857, nw = 1651 Venus_night.0041.ec.fits: ap = 74, w1 = 4548.022, w2 = 4452.156, dw = -0.0581, nw = 1651 Venus_night.0041.ec.fits: ap = 75, w1 = 4512.219, w2 = 4417.111, dw = -0.05764, nw = 1651 Venus_night.0041.ec.fits: ap = 76, w1 = 4476.974, w2 = 4382.613, dw = -0.05719, nw = 1651 Venus_night.0041.ec.fits: ap = 77, w1 = 4442.277, w2 = 4348.651, dw = -0.05674, nw = 1651 Venus_night.0041.ec.fits: ap = 78, w1 = 4408.113, w2 = 4315.211, dw = -0.0563, nw = 1651 Venus_night.0041.ec.fits: ap = 79, w1 = 4374.47, w2 = 4282.282, dw = -0.05587, nw = 1651 Venus_night.0041.ec.fits: ap = 80, w1 = 4341.338, w2 = 4249.852, dw = -0.05545, nw = 1651 Venus_night.0041.ec.fits: ap = 81, w1 = 4308.703, w2 = 4217.91, dw = -0.05503, nw = 1651 Venus_night.0041.ec.fits: ap = 82, w1 = 4276.556, w2 = 4186.445, dw = -0.05461, nw = 1651 Venus_night.0041.ec.fits: ap = 83, w1 = 4244.885, w2 = 4155.446, dw = -0.05421, nw = 1651 Venus_night.0041.ec.fits: ap = 84, w1 = 4213.68, w2 = 4124.904, dw = -0.0538, nw = 1651 Venus_night.0041.ec.fits: ap = 85, w1 = 4182.93, w2 = 4094.807, dw = -0.05341, nw = 1651 Venus_night.0041.ec.fits: ap = 86, w1 = 4152.626, w2 = 4065.147, dw = -0.05302, nw = 1651 Venus_night.0041.ec.fits: ap = 87, w1 = 4122.758, w2 = 4035.914, dw = -0.05263, nw = 1651 Venus_night.0041.ec.fits: ap = 88, w1 = 4093.316, w2 = 4007.099, dw = -0.05225, nw = 1651 Venus_night.0041.ec.fits: ap = 89, w1 = 4064.292, w2 = 3978.693, dw = -0.05188, nw = 1651 Venus_night.0041.ec.fits: ap = 90, w1 = 4035.677, w2 = 3950.687, dw = -0.05151, nw = 1651 Venus_night.0041.ec.fits: ap = 91, w1 = 4007.462, w2 = 3923.073, dw = -0.05114, nw = 1651 Venus_night.0041.ec.fits: ap = 92, w1 = 3979.638, w2 = 3895.843, dw = -0.05078, nw = 1651 Venus_night.0041.ec.fits: ap = 93, w1 = 3952.199, w2 = 3868.989, dw = -0.05043, nw = 1651 Venus_night.0041.ec.fits: ap = 94, w1 = 3925.135, w2 = 3842.503, dw = -0.05008, nw = 1651 Venus_night.0041.ec.fits: ap = 95, w1 = 3898.439, w2 = 3816.378, dw = -0.04973, nw = 1651 Venus_night.0041.ec.fits: ap = 96, w1 = 3872.104, w2 = 3790.606, dw = -0.04939, nw = 1651 Venus_night.0041.ec.fits: ap = 97, w1 = 3846.123, w2 = 3765.18, dw = -0.04906, nw = 1651 Venus_night.0041.ec.fits: ap = 98, w1 = 3820.487, w2 = 3740.094, dw = -0.04872, nw = 1651 Venus_night.0041.ec.fits: ap = 99, w1 = 3795.191, w2 = 3715.34, dw = -0.04839, nw = 1651 Venus_night.0041.ec.fits: ap = 100, w1 = 3770.228, w2 = 3690.913, dw = -0.04807, nw = 1651 Venus_night.0041.ec.fits: ap = 101, w1 = 3745.591, w2 = 3666.805, dw = -0.04775, nw = 1651 Venus_night.0041.ec.fits: ap = 102, w1 = 3721.274, w2 = 3643.01, dw = -0.04743, nw = 1651 Venus_night.0041.ec.fits: ap = 103, w1 = 3697.271, w2 = 3619.523, dw = -0.04712, nw = 1651 Venus_night.0041.ec.fits: ap = 104, w1 = 3673.575, w2 = 3596.337, dw = -0.04681, nw = 1651 Venus_night.0041.ec.fits: ap = 105, w1 = 3650.181, w2 = 3573.447, dw = -0.04651, nw = 1651 Venus_night.0041.ec.fits: ap = 106, w1 = 3627.082, w2 = 3550.847, dw = -0.0462, nw = 1651 Venus_night.0041.ec.fits: ap = 107, w1 = 3604.274, w2 = 3528.532, dw = -0.0459, nw = 1651 Venus_night.0041.ec.fits: ap = 108, w1 = 3581.751, w2 = 3506.496, dw = -0.04561, nw = 1651 Venus_night.0041.ec.fits: ap = 109, w1 = 3559.508, w2 = 3484.735, dw = -0.04532, nw = 1651 Venus_night.0041.ec.fits: ap = 110, w1 = 3537.539, w2 = 3463.242, dw = -0.04503, nw = 1651 Venus_night.0041.ec.fits: ap = 111, w1 = 3515.84, w2 = 3442.014, dw = -0.04474, nw = 1651 Venus_night.0041.ec.fits: ap = 112, w1 = 3494.404, w2 = 3421.044, dw = -0.04446, nw = 1651 Venus_night.0041.ec.fits: ap = 113, w1 = 3473.229, w2 = 3400.33, dw = -0.04418, nw = 1651 Venus_night.0041.ec.fits: ap = 114, w1 = 3452.308, w2 = 3379.865, dw = -0.0439, nw = 1651 Venus_night.0041.ec.fits: ap = 115, w1 = 3431.638, w2 = 3359.646, dw = -0.04363, nw = 1651 ThAr.0013.ec.fits: REFSPEC1 = 'ThAr.0013.ec 1.' zThAr.0013.ec.fits: ap = 1, w1 = 10811.13, w2 = 10582.97, dw = -0.13828, nw = 1651 zThAr.0013.ec.fits: ap = 2, w1 = 10610.94, w2 = 10387.01, dw = -0.13572, nw = 1651 zThAr.0013.ec.fits: ap = 3, w1 = 10418.03, w2 = 10198.17, dw = -0.13325, nw = 1651 zThAr.0013.ec.fits: ap = 4, w1 = 10232.01, w2 = 10016.08, dw = -0.13087, nw = 1651 zThAr.0013.ec.fits: ap = 5, w1 = 10052.52, w2 = 9840.375, dw = -0.12857, nw = 1651 zThAr.0013.ec.fits: ap = 6, w1 = 9879.21, w2 = 9670.73, dw = -0.12635, nw = 1651 zThAr.0013.ec.fits: ap = 7, w1 = 9711.779, w2 = 9506.836, dw = -0.12421, nw = 1651 zThAr.0013.ec.fits: ap = 8, w1 = 9549.929, w2 = 9348.405, dw = -0.12214, nw = 1651 zThAr.0013.ec.fits: ap = 9, w1 = 9393.386, w2 = 9195.168, dw = -0.12013, nw = 1651 zThAr.0013.ec.fits: ap = 10, w1 = 9241.892, w2 = 9046.874, dw = -0.11819, nw = 1651 zThAr.0013.ec.fits: ap = 11, w1 = 9095.208, w2 = 8903.288, dw = -0.11632, nw = 1651 zThAr.0013.ec.fits: ap = 12, w1 = 8953.107, w2 = 8764.188, dw = -0.1145, nw = 1651 zThAr.0013.ec.fits: ap = 13, w1 = 8815.379, w2 = 8629.369, dw = -0.11273, nw = 1651 zThAr.0013.ec.fits: ap = 14, w1 = 8681.824, w2 = 8498.635, dw = -0.11102, nw = 1651 zThAr.0013.ec.fits: ap = 15, w1 = 8552.256, w2 = 8371.803, dw = -0.10937, nw = 1651 zThAr.0013.ec.fits: ap = 16, w1 = 8426.499, w2 = 8248.701, dw = -0.10776, nw = 1651 zThAr.0013.ec.fits: ap = 17, w1 = 8304.387, w2 = 8129.168, dw = -0.10619, nw = 1651 zThAr.0013.ec.fits: ap = 18, w1 = 8185.763, w2 = 8013.05, dw = -0.10467, nw = 1651 zThAr.0013.ec.fits: ap = 19, w1 = 8070.482, w2 = 7900.203, dw = -0.1032, nw = 1651 zThAr.0013.ec.fits: ap = 20, w1 = 7958.402, w2 = 7790.49, dw = -0.10176, nw = 1651 zThAr.0013.ec.fits: ap = 21, w1 = 7849.393, w2 = 7683.783, dw = -0.10037, nw = 1651 zThAr.0013.ec.fits: ap = 22, w1 = 7743.331, w2 = 7579.96, dw = -0.09901, nw = 1651 zThAr.0013.ec.fits: ap = 23, w1 = 7640.097, w2 = 7478.906, dw = -0.09769, nw = 1651 zThAr.0013.ec.fits: ap = 24, w1 = 7539.579, w2 = 7380.511, dw = -0.0964, nw = 1651 zThAr.0013.ec.fits: ap = 25, w1 = 7441.673, w2 = 7284.672, dw = -0.09515, nw = 1651 zThAr.0013.ec.fits: ap = 26, w1 = 7346.276, w2 = 7191.29, dw = -0.09393, nw = 1651 zThAr.0013.ec.fits: ap = 27, w1 = 7253.295, w2 = 7100.272, dw = -0.09274, nw = 1651 zThAr.0013.ec.fits: ap = 28, w1 = 7162.639, w2 = 7011.53, dw = -0.09158, nw = 1651 zThAr.0013.ec.fits: ap = 29, w1 = 7074.221, w2 = 6924.979, dw = -0.09045, nw = 1651 zThAr.0013.ec.fits: ap = 30, w1 = 6987.96, w2 = 6840.539, dw = -0.08935, nw = 1651 zThAr.0013.ec.fits: ap = 31, w1 = 6903.777, w2 = 6758.134, dw = -0.08827, nw = 1651 zThAr.0013.ec.fits: ap = 32, w1 = 6821.598, w2 = 6677.69, dw = -0.08722, nw = 1651 zThAr.0013.ec.fits: ap = 33, w1 = 6741.354, w2 = 6599.14, dw = -0.08619, nw = 1651 zThAr.0013.ec.fits: ap = 34, w1 = 6662.975, w2 = 6522.416, dw = -0.08519, nw = 1651 zThAr.0013.ec.fits: ap = 35, w1 = 6586.399, w2 = 6447.456, dw = -0.08421, nw = 1651 zThAr.0013.ec.fits: ap = 36, w1 = 6511.562, w2 = 6374.2, dw = -0.08325, nw = 1651 zThAr.0013.ec.fits: ap = 37, w1 = 6438.408, w2 = 6302.59, dw = -0.08231, nw = 1651 zThAr.0013.ec.fits: ap = 38, w1 = 6366.879, w2 = 6232.572, dw = -0.0814, nw = 1651 zThAr.0013.ec.fits: ap = 39, w1 = 6296.922, w2 = 6164.092, dw = -0.0805, nw = 1651 zThAr.0013.ec.fits: ap = 40, w1 = 6228.487, w2 = 6097.101, dw = -0.07963, nw = 1651 zThAr.0013.ec.fits: ap = 41, w1 = 6161.522, w2 = 6031.551, dw = -0.07877, nw = 1651 zThAr.0013.ec.fits: ap = 42, w1 = 6095.983, w2 = 5967.396, dw = -0.07793, nw = 1651 zThAr.0013.ec.fits: ap = 43, w1 = 6031.824, w2 = 5904.591, dw = -0.07711, nw = 1651 zThAr.0013.ec.fits: ap = 44, w1 = 5969.001, w2 = 5843.095, dw = -0.07631, nw = 1651 zThAr.0013.ec.fits: ap = 45, w1 = 5907.474, w2 = 5782.866, dw = -0.07552, nw = 1651 zThAr.0013.ec.fits: ap = 46, w1 = 5847.202, w2 = 5723.867, dw = -0.07475, nw = 1651 zThAr.0013.ec.fits: ap = 47, w1 = 5788.148, w2 = 5666.06, dw = -0.07399, nw = 1651 zThAr.0013.ec.fits: ap = 48, w1 = 5730.275, w2 = 5609.409, dw = -0.07325, nw = 1651 zThAr.0013.ec.fits: ap = 49, w1 = 5673.548, w2 = 5553.88, dw = -0.07253, nw = 1651 zThAr.0013.ec.fits: ap = 50, w1 = 5617.933, w2 = 5499.44, dw = -0.07181, nw = 1651 zThAr.0013.ec.fits: ap = 51, w1 = 5563.398, w2 = 5446.057, dw = -0.07112, nw = 1651 zThAr.0013.ec.fits: ap = 52, w1 = 5509.912, w2 = 5393.701, dw = -0.07043, nw = 1651 zThAr.0013.ec.fits: ap = 53, w1 = 5457.445, w2 = 5342.342, dw = -0.06976, nw = 1651 zThAr.0013.ec.fits: ap = 54, w1 = 5405.967, w2 = 5291.952, dw = -0.0691, nw = 1651 zThAr.0013.ec.fits: ap = 55, w1 = 5355.452, w2 = 5242.503, dw = -0.06845, nw = 1651 zThAr.0013.ec.fits: ap = 56, w1 = 5305.872, w2 = 5193.971, dw = -0.06782, nw = 1651 zThAr.0013.ec.fits: ap = 57, w1 = 5257.202, w2 = 5146.329, dw = -0.0672, nw = 1651 zThAr.0013.ec.fits: ap = 58, w1 = 5209.417, w2 = 5099.554, dw = -0.06658, nw = 1651 zThAr.0013.ec.fits: ap = 59, w1 = 5162.493, w2 = 5053.621, dw = -0.06598, nw = 1651 zThAr.0013.ec.fits: ap = 60, w1 = 5116.406, w2 = 5008.509, dw = -0.06539, nw = 1651 zThAr.0013.ec.fits: ap = 61, w1 = 5071.136, w2 = 4964.195, dw = -0.06481, nw = 1651 zThAr.0013.ec.fits: ap = 62, w1 = 5026.659, w2 = 4920.658, dw = -0.06424, nw = 1651 zThAr.0013.ec.fits: ap = 63, w1 = 4982.956, w2 = 4877.879, dw = -0.06368, nw = 1651 zThAr.0013.ec.fits: ap = 64, w1 = 4940.006, w2 = 4835.837, dw = -0.06313, nw = 1651 zThAr.0013.ec.fits: ap = 65, w1 = 4897.791, w2 = 4794.514, dw = -0.06259, nw = 1651 zThAr.0013.ec.fits: ap = 66, w1 = 4856.29, w2 = 4753.891, dw = -0.06206, nw = 1651 zThAr.0013.ec.fits: ap = 67, w1 = 4815.488, w2 = 4713.951, dw = -0.06154, nw = 1651 zThAr.0013.ec.fits: ap = 68, w1 = 4775.365, w2 = 4674.677, dw = -0.06102, nw = 1651 zThAr.0013.ec.fits: ap = 69, w1 = 4735.905, w2 = 4636.052, dw = -0.06052, nw = 1651 zThAr.0013.ec.fits: ap = 70, w1 = 4697.092, w2 = 4598.06, dw = -0.06002, nw = 1651 zThAr.0013.ec.fits: ap = 71, w1 = 4658.91, w2 = 4560.686, dw = -0.05953, nw = 1651 zThAr.0013.ec.fits: ap = 72, w1 = 4621.344, w2 = 4523.915, dw = -0.05905, nw = 1651 zThAr.0013.ec.fits: ap = 73, w1 = 4584.378, w2 = 4487.732, dw = -0.05857, nw = 1651 zThAr.0013.ec.fits: ap = 74, w1 = 4547.999, w2 = 4452.123, dw = -0.05811, nw = 1651 zThAr.0013.ec.fits: ap = 75, w1 = 4512.193, w2 = 4417.075, dw = -0.05765, nw = 1651 zThAr.0013.ec.fits: ap = 76, w1 = 4476.946, w2 = 4382.575, dw = -0.0572, nw = 1651 zThAr.0013.ec.fits: ap = 77, w1 = 4442.246, w2 = 4348.609, dw = -0.05675, nw = 1651 zThAr.0013.ec.fits: ap = 78, w1 = 4408.079, w2 = 4315.166, dw = -0.05631, nw = 1651 zThAr.0013.ec.fits: ap = 79, w1 = 4374.434, w2 = 4282.234, dw = -0.05588, nw = 1651 zThAr.0013.ec.fits: ap = 80, w1 = 4341.298, w2 = 4249.8, dw = -0.05545, nw = 1651 zThAr.0013.ec.fits: ap = 81, w1 = 4308.66, w2 = 4217.854, dw = -0.05503, nw = 1651 zThAr.0013.ec.fits: ap = 82, w1 = 4276.509, w2 = 4186.385, dw = -0.05462, nw = 1651 zThAr.0013.ec.fits: ap = 83, w1 = 4244.834, w2 = 4155.382, dw = -0.05421, nw = 1651 zThAr.0013.ec.fits: ap = 84, w1 = 4213.625, w2 = 4124.835, dw = -0.05381, nw = 1651 zThAr.0013.ec.fits: ap = 85, w1 = 4182.871, w2 = 4094.734, dw = -0.05342, nw = 1651 zThAr.0013.ec.fits: ap = 86, w1 = 4152.563, w2 = 4065.069, dw = -0.05303, nw = 1651 zThAr.0013.ec.fits: ap = 87, w1 = 4122.69, w2 = 4035.831, dw = -0.05264, nw = 1651 zThAr.0013.ec.fits: ap = 88, w1 = 4093.244, w2 = 4007.01, dw = -0.05226, nw = 1651 zThAr.0013.ec.fits: ap = 89, w1 = 4064.216, w2 = 3978.598, dw = -0.05189, nw = 1651 zThAr.0013.ec.fits: ap = 90, w1 = 4035.595, w2 = 3950.587, dw = -0.05152, nw = 1651 zThAr.0013.ec.fits: ap = 91, w1 = 4007.375, w2 = 3922.966, dw = -0.05116, nw = 1651 zThAr.0013.ec.fits: ap = 92, w1 = 3979.547, w2 = 3895.73, dw = -0.0508, nw = 1651 zThAr.0013.ec.fits: ap = 93, w1 = 3952.102, w2 = 3868.869, dw = -0.05044, nw = 1651 zThAr.0013.ec.fits: ap = 94, w1 = 3925.032, w2 = 3842.375, dw = -0.05009, nw = 1651 zThAr.0013.ec.fits: ap = 95, w1 = 3898.331, w2 = 3816.243, dw = -0.04975, nw = 1651 zThAr.0013.ec.fits: ap = 96, w1 = 3871.99, w2 = 3790.463, dw = -0.04941, nw = 1651 zThAr.0013.ec.fits: ap = 97, w1 = 3846.002, w2 = 3765.029, dw = -0.04907, nw = 1651 zThAr.0013.ec.fits: ap = 98, w1 = 3820.36, w2 = 3739.934, dw = -0.04874, nw = 1651 zThAr.0013.ec.fits: ap = 99, w1 = 3795.058, w2 = 3715.171, dw = -0.04842, nw = 1651 zThAr.0013.ec.fits: ap = 100, w1 = 3770.088, w2 = 3690.734, dw = -0.04809, nw = 1651 zThAr.0013.ec.fits: ap = 101, w1 = 3745.444, w2 = 3666.616, dw = -0.04777, nw = 1651 zThAr.0013.ec.fits: ap = 102, w1 = 3721.12, w2 = 3642.811, dw = -0.04746, nw = 1651 zThAr.0013.ec.fits: ap = 103, w1 = 3697.109, w2 = 3619.314, dw = -0.04715, nw = 1651 zThAr.0013.ec.fits: ap = 104, w1 = 3673.405, w2 = 3596.117, dw = -0.04684, nw = 1651 zThAr.0013.ec.fits: ap = 105, w1 = 3650.003, w2 = 3573.216, dw = -0.04654, nw = 1651 zThAr.0013.ec.fits: ap = 106, w1 = 3626.897, w2 = 3550.604, dw = -0.04624, nw = 1651 zThAr.0013.ec.fits: ap = 107, w1 = 3604.081, w2 = 3528.277, dw = -0.04594, nw = 1651 zThAr.0013.ec.fits: ap = 108, w1 = 3581.55, w2 = 3506.228, dw = -0.04565, nw = 1651 zThAr.0013.ec.fits: ap = 109, w1 = 3559.298, w2 = 3484.453, dw = -0.04536, nw = 1651 zThAr.0013.ec.fits: ap = 110, w1 = 3537.32, w2 = 3462.947, dw = -0.04507, nw = 1651 zThAr.0013.ec.fits: ap = 111, w1 = 3515.612, w2 = 3441.705, dw = -0.04479, nw = 1651 zThAr.0013.ec.fits: ap = 112, w1 = 3494.168, w2 = 3420.721, dw = -0.04451, nw = 1651 zThAr.0013.ec.fits: ap = 113, w1 = 3472.983, w2 = 3399.992, dw = -0.04424, nw = 1651 zThAr.0013.ec.fits: ap = 114, w1 = 3452.052, w2 = 3379.511, dw = -0.04396, nw = 1651 zThAr.0013.ec.fits: ap = 115, w1 = 3431.372, w2 = 3359.276, dw = -0.04369, nw = 1651 ThAr.0014.ec.fits: REFSPEC1 = 'ThAr.0014.ec 1.' zThAr.0014.ec.fits: ap = 1, w1 = 10811.18, w2 = 10583., dw = -0.13829, nw = 1651 zThAr.0014.ec.fits: ap = 2, w1 = 10610.99, w2 = 10387.03, dw = -0.13573, nw = 1651 zThAr.0014.ec.fits: ap = 3, w1 = 10418.07, w2 = 10198.19, dw = -0.13326, nw = 1651 zThAr.0014.ec.fits: ap = 4, w1 = 10232.05, w2 = 10016.1, dw = -0.13088, nw = 1651 zThAr.0014.ec.fits: ap = 5, w1 = 10052.55, w2 = 9840.392, dw = -0.12858, nw = 1651 zThAr.0014.ec.fits: ap = 6, w1 = 9879.242, w2 = 9670.745, dw = -0.12636, nw = 1651 zThAr.0014.ec.fits: ap = 7, w1 = 9711.809, w2 = 9506.849, dw = -0.12422, nw = 1651 zThAr.0014.ec.fits: ap = 8, w1 = 9549.957, w2 = 9348.417, dw = -0.12215, nw = 1651 zThAr.0014.ec.fits: ap = 9, w1 = 9393.412, w2 = 9195.178, dw = -0.12014, nw = 1651 zThAr.0014.ec.fits: ap = 10, w1 = 9241.916, w2 = 9046.883, dw = -0.1182, nw = 1651 zThAr.0014.ec.fits: ap = 11, w1 = 9095.23, w2 = 8903.296, dw = -0.11632, nw = 1651 zThAr.0014.ec.fits: ap = 12, w1 = 8953.128, w2 = 8764.197, dw = -0.1145, nw = 1651 zThAr.0014.ec.fits: ap = 13, w1 = 8815.399, w2 = 8629.377, dw = -0.11274, nw = 1651 zThAr.0014.ec.fits: ap = 14, w1 = 8681.843, w2 = 8498.642, dw = -0.11103, nw = 1651 zThAr.0014.ec.fits: ap = 15, w1 = 8552.274, w2 = 8371.811, dw = -0.10937, nw = 1651 zThAr.0014.ec.fits: ap = 16, w1 = 8426.516, w2 = 8248.709, dw = -0.10776, nw = 1651 zThAr.0014.ec.fits: ap = 17, w1 = 8304.403, w2 = 8129.176, dw = -0.1062, nw = 1651 zThAr.0014.ec.fits: ap = 18, w1 = 8185.779, w2 = 8013.058, dw = -0.10468, nw = 1651 zThAr.0014.ec.fits: ap = 19, w1 = 8070.497, w2 = 7900.211, dw = -0.1032, nw = 1651 zThAr.0014.ec.fits: ap = 20, w1 = 7958.416, w2 = 7790.499, dw = -0.10177, nw = 1651 zThAr.0014.ec.fits: ap = 21, w1 = 7849.407, w2 = 7683.792, dw = -0.10037, nw = 1651 zThAr.0014.ec.fits: ap = 22, w1 = 7743.344, w2 = 7579.97, dw = -0.09901, nw = 1651 zThAr.0014.ec.fits: ap = 23, w1 = 7640.109, w2 = 7478.916, dw = -0.09769, nw = 1651 zThAr.0014.ec.fits: ap = 24, w1 = 7539.591, w2 = 7380.521, dw = -0.09641, nw = 1651 zThAr.0014.ec.fits: ap = 25, w1 = 7441.684, w2 = 7284.682, dw = -0.09515, nw = 1651 zThAr.0014.ec.fits: ap = 26, w1 = 7346.288, w2 = 7191.3, dw = -0.09393, nw = 1651 zThAr.0014.ec.fits: ap = 27, w1 = 7253.306, w2 = 7100.283, dw = -0.09274, nw = 1651 zThAr.0014.ec.fits: ap = 28, w1 = 7162.65, w2 = 7011.541, dw = -0.09158, nw = 1651 zThAr.0014.ec.fits: ap = 29, w1 = 7074.231, w2 = 6924.99, dw = -0.09045, nw = 1651 zThAr.0014.ec.fits: ap = 30, w1 = 6987.969, w2 = 6840.55, dw = -0.08935, nw = 1651 zThAr.0014.ec.fits: ap = 31, w1 = 6903.786, w2 = 6758.145, dw = -0.08827, nw = 1651 zThAr.0014.ec.fits: ap = 32, w1 = 6821.607, w2 = 6677.701, dw = -0.08722, nw = 1651 zThAr.0014.ec.fits: ap = 33, w1 = 6741.362, w2 = 6599.151, dw = -0.08619, nw = 1651 zThAr.0014.ec.fits: ap = 34, w1 = 6662.983, w2 = 6522.427, dw = -0.08519, nw = 1651 zThAr.0014.ec.fits: ap = 35, w1 = 6586.406, w2 = 6447.467, dw = -0.08421, nw = 1651 zThAr.0014.ec.fits: ap = 36, w1 = 6511.57, w2 = 6374.211, dw = -0.08325, nw = 1651 zThAr.0014.ec.fits: ap = 37, w1 = 6438.415, w2 = 6302.601, dw = -0.08231, nw = 1651 zThAr.0014.ec.fits: ap = 38, w1 = 6366.886, w2 = 6232.582, dw = -0.0814, nw = 1651 zThAr.0014.ec.fits: ap = 39, w1 = 6296.928, w2 = 6164.102, dw = -0.0805, nw = 1651 zThAr.0014.ec.fits: ap = 40, w1 = 6228.492, w2 = 6097.111, dw = -0.07963, nw = 1651 zThAr.0014.ec.fits: ap = 41, w1 = 6161.528, w2 = 6031.56, dw = -0.07877, nw = 1651 zThAr.0014.ec.fits: ap = 42, w1 = 6095.988, w2 = 5967.405, dw = -0.07793, nw = 1651 zThAr.0014.ec.fits: ap = 43, w1 = 6031.828, w2 = 5904.6, dw = -0.07711, nw = 1651 zThAr.0014.ec.fits: ap = 44, w1 = 5969.005, w2 = 5843.103, dw = -0.0763, nw = 1651 zThAr.0014.ec.fits: ap = 45, w1 = 5907.477, w2 = 5782.874, dw = -0.07552, nw = 1651 zThAr.0014.ec.fits: ap = 46, w1 = 5847.205, w2 = 5723.875, dw = -0.07475, nw = 1651 zThAr.0014.ec.fits: ap = 47, w1 = 5788.151, w2 = 5666.067, dw = -0.07399, nw = 1651 zThAr.0014.ec.fits: ap = 48, w1 = 5730.277, w2 = 5609.416, dw = -0.07325, nw = 1651 zThAr.0014.ec.fits: ap = 49, w1 = 5673.55, w2 = 5553.887, dw = -0.07252, nw = 1651 zThAr.0014.ec.fits: ap = 50, w1 = 5617.935, w2 = 5499.446, dw = -0.07181, nw = 1651 zThAr.0014.ec.fits: ap = 51, w1 = 5563.4, w2 = 5446.063, dw = -0.07111, nw = 1651 zThAr.0014.ec.fits: ap = 52, w1 = 5509.914, w2 = 5393.707, dw = -0.07043, nw = 1651 zThAr.0014.ec.fits: ap = 53, w1 = 5457.446, w2 = 5342.347, dw = -0.06976, nw = 1651 zThAr.0014.ec.fits: ap = 54, w1 = 5405.969, w2 = 5291.957, dw = -0.0691, nw = 1651 zThAr.0014.ec.fits: ap = 55, w1 = 5355.454, w2 = 5242.509, dw = -0.06845, nw = 1651 zThAr.0014.ec.fits: ap = 56, w1 = 5305.874, w2 = 5193.977, dw = -0.06782, nw = 1651 zThAr.0014.ec.fits: ap = 57, w1 = 5257.204, w2 = 5146.335, dw = -0.06719, nw = 1651 zThAr.0014.ec.fits: ap = 58, w1 = 5209.419, w2 = 5099.56, dw = -0.06658, nw = 1651 zThAr.0014.ec.fits: ap = 59, w1 = 5162.495, w2 = 5053.628, dw = -0.06598, nw = 1651 zThAr.0014.ec.fits: ap = 60, w1 = 5116.409, w2 = 5008.516, dw = -0.06539, nw = 1651 zThAr.0014.ec.fits: ap = 61, w1 = 5071.139, w2 = 4964.202, dw = -0.06481, nw = 1651 zThAr.0014.ec.fits: ap = 62, w1 = 5026.663, w2 = 4920.667, dw = -0.06424, nw = 1651 zThAr.0014.ec.fits: ap = 63, w1 = 4982.961, w2 = 4877.888, dw = -0.06368, nw = 1651 zThAr.0014.ec.fits: ap = 64, w1 = 4940.012, w2 = 4835.848, dw = -0.06313, nw = 1651 zThAr.0014.ec.fits: ap = 65, w1 = 4897.797, w2 = 4794.526, dw = -0.06259, nw = 1651 zThAr.0014.ec.fits: ap = 66, w1 = 4856.298, w2 = 4753.905, dw = -0.06206, nw = 1651 zThAr.0014.ec.fits: ap = 67, w1 = 4815.496, w2 = 4713.967, dw = -0.06153, nw = 1651 zThAr.0014.ec.fits: ap = 68, w1 = 4775.375, w2 = 4674.694, dw = -0.06102, nw = 1651 zThAr.0014.ec.fits: ap = 69, w1 = 4735.916, w2 = 4636.071, dw = -0.06051, nw = 1651 zThAr.0014.ec.fits: ap = 70, w1 = 4697.105, w2 = 4598.082, dw = -0.06001, nw = 1651 zThAr.0014.ec.fits: ap = 71, w1 = 4658.925, w2 = 4560.71, dw = -0.05952, nw = 1651 zThAr.0014.ec.fits: ap = 72, w1 = 4621.36, w2 = 4523.942, dw = -0.05904, nw = 1651 zThAr.0014.ec.fits: ap = 73, w1 = 4584.397, w2 = 4487.762, dw = -0.05857, nw = 1651 zThAr.0014.ec.fits: ap = 74, w1 = 4548.02, w2 = 4452.157, dw = -0.0581, nw = 1651 zThAr.0014.ec.fits: ap = 75, w1 = 4512.217, w2 = 4417.112, dw = -0.05764, nw = 1651 zThAr.0014.ec.fits: ap = 76, w1 = 4476.972, w2 = 4382.616, dw = -0.05719, nw = 1651 zThAr.0014.ec.fits: ap = 77, w1 = 4442.275, w2 = 4348.655, dw = -0.05674, nw = 1651 zThAr.0014.ec.fits: ap = 78, w1 = 4408.111, w2 = 4315.216, dw = -0.0563, nw = 1651 zThAr.0014.ec.fits: ap = 79, w1 = 4374.469, w2 = 4282.289, dw = -0.05587, nw = 1651 zThAr.0014.ec.fits: ap = 80, w1 = 4341.337, w2 = 4249.861, dw = -0.05544, nw = 1651 zThAr.0014.ec.fits: ap = 81, w1 = 4308.703, w2 = 4217.921, dw = -0.05502, nw = 1651 zThAr.0014.ec.fits: ap = 82, w1 = 4276.556, w2 = 4186.458, dw = -0.0546, nw = 1651 zThAr.0014.ec.fits: ap = 83, w1 = 4244.885, w2 = 4155.461, dw = -0.0542, nw = 1651 zThAr.0014.ec.fits: ap = 84, w1 = 4213.68, w2 = 4124.921, dw = -0.05379, nw = 1651 zThAr.0014.ec.fits: ap = 85, w1 = 4182.931, w2 = 4094.827, dw = -0.0534, nw = 1651 zThAr.0014.ec.fits: ap = 86, w1 = 4152.628, w2 = 4065.17, dw = -0.053, nw = 1651 zThAr.0014.ec.fits: ap = 87, w1 = 4122.76, w2 = 4035.94, dw = -0.05262, nw = 1651 zThAr.0014.ec.fits: ap = 88, w1 = 4093.32, w2 = 4007.128, dw = -0.05224, nw = 1651 zThAr.0014.ec.fits: ap = 89, w1 = 4064.297, w2 = 3978.725, dw = -0.05186, nw = 1651 zThAr.0014.ec.fits: ap = 90, w1 = 4035.683, w2 = 3950.722, dw = -0.05149, nw = 1651 zThAr.0014.ec.fits: ap = 91, w1 = 4007.469, w2 = 3923.112, dw = -0.05113, nw = 1651 zThAr.0014.ec.fits: ap = 92, w1 = 3979.647, w2 = 3895.886, dw = -0.05076, nw = 1651 zThAr.0014.ec.fits: ap = 93, w1 = 3952.209, w2 = 3869.036, dw = -0.05041, nw = 1651 zThAr.0014.ec.fits: ap = 94, w1 = 3925.147, w2 = 3842.554, dw = -0.05006, nw = 1651 zThAr.0014.ec.fits: ap = 95, w1 = 3898.454, w2 = 3816.434, dw = -0.04971, nw = 1651 zThAr.0014.ec.fits: ap = 96, w1 = 3872.121, w2 = 3790.666, dw = -0.04937, nw = 1651 zThAr.0014.ec.fits: ap = 97, w1 = 3846.142, w2 = 3765.246, dw = -0.04903, nw = 1651 zThAr.0014.ec.fits: ap = 98, w1 = 3820.509, w2 = 3740.165, dw = -0.04869, nw = 1651 zThAr.0014.ec.fits: ap = 99, w1 = 3795.215, w2 = 3715.416, dw = -0.04836, nw = 1651 zThAr.0014.ec.fits: ap = 100, w1 = 3770.255, w2 = 3690.994, dw = -0.04804, nw = 1651 zThAr.0014.ec.fits: ap = 101, w1 = 3745.621, w2 = 3666.892, dw = -0.04771, nw = 1651 zThAr.0014.ec.fits: ap = 102, w1 = 3721.307, w2 = 3643.104, dw = -0.0474, nw = 1651 zThAr.0014.ec.fits: ap = 103, w1 = 3697.307, w2 = 3619.623, dw = -0.04708, nw = 1651 zThAr.0014.ec.fits: ap = 104, w1 = 3673.615, w2 = 3596.444, dw = -0.04677, nw = 1651 zThAr.0014.ec.fits: ap = 105, w1 = 3650.224, w2 = 3573.561, dw = -0.04646, nw = 1651 zThAr.0014.ec.fits: ap = 106, w1 = 3627.13, w2 = 3550.968, dw = -0.04616, nw = 1651 zThAr.0014.ec.fits: ap = 107, w1 = 3604.327, w2 = 3528.66, dw = -0.04586, nw = 1651 zThAr.0014.ec.fits: ap = 108, w1 = 3581.808, w2 = 3506.632, dw = -0.04556, nw = 1651 zThAr.0014.ec.fits: ap = 109, w1 = 3559.57, w2 = 3484.879, dw = -0.04527, nw = 1651 zThAr.0014.ec.fits: ap = 110, w1 = 3537.606, w2 = 3463.394, dw = -0.04498, nw = 1651 zThAr.0014.ec.fits: ap = 111, w1 = 3515.912, w2 = 3442.175, dw = -0.04469, nw = 1651 zThAr.0014.ec.fits: ap = 112, w1 = 3494.482, w2 = 3421.214, dw = -0.0444, nw = 1651 zThAr.0014.ec.fits: ap = 113, w1 = 3473.312, w2 = 3400.509, dw = -0.04412, nw = 1651 zThAr.0014.ec.fits: ap = 114, w1 = 3452.398, w2 = 3380.054, dw = -0.04384, nw = 1651 zThAr.0014.ec.fits: ap = 115, w1 = 3431.734, w2 = 3359.845, dw = -0.04357, nw = 1651 ThAr.0015.ec.fits: REFSPEC1 = 'ThAr.0015.ec 1.' zThAr.0015.ec.fits: ap = 1, w1 = 10811.12, w2 = 10583.03, dw = -0.13823, nw = 1651 zThAr.0015.ec.fits: ap = 2, w1 = 10610.93, w2 = 10387.06, dw = -0.13568, nw = 1651 zThAr.0015.ec.fits: ap = 3, w1 = 10418.03, w2 = 10198.22, dw = -0.13322, nw = 1651 zThAr.0015.ec.fits: ap = 4, w1 = 10232.01, w2 = 10016.12, dw = -0.13084, nw = 1651 zThAr.0015.ec.fits: ap = 5, w1 = 10052.52, w2 = 9840.416, dw = -0.12855, nw = 1651 zThAr.0015.ec.fits: ap = 6, w1 = 9879.219, w2 = 9670.767, dw = -0.12633, nw = 1651 zThAr.0015.ec.fits: ap = 7, w1 = 9711.791, w2 = 9506.869, dw = -0.12419, nw = 1651 zThAr.0015.ec.fits: ap = 8, w1 = 9549.944, w2 = 9348.435, dw = -0.12213, nw = 1651 zThAr.0015.ec.fits: ap = 9, w1 = 9393.403, w2 = 9195.195, dw = -0.12013, nw = 1651 zThAr.0015.ec.fits: ap = 10, w1 = 9241.912, w2 = 9046.899, dw = -0.11819, nw = 1651 zThAr.0015.ec.fits: ap = 11, w1 = 9095.229, w2 = 8903.31, dw = -0.11631, nw = 1651 zThAr.0015.ec.fits: ap = 12, w1 = 8953.13, w2 = 8764.209, dw = -0.1145, nw = 1651 zThAr.0015.ec.fits: ap = 13, w1 = 8815.403, w2 = 8629.387, dw = -0.11274, nw = 1651 zThAr.0015.ec.fits: ap = 14, w1 = 8681.849, w2 = 8498.652, dw = -0.11103, nw = 1651 zThAr.0015.ec.fits: ap = 15, w1 = 8552.282, w2 = 8371.819, dw = -0.10937, nw = 1651 zThAr.0015.ec.fits: ap = 16, w1 = 8426.525, w2 = 8248.716, dw = -0.10776, nw = 1651 zThAr.0015.ec.fits: ap = 17, w1 = 8304.413, w2 = 8129.182, dw = -0.1062, nw = 1651 zThAr.0015.ec.fits: ap = 18, w1 = 8185.79, w2 = 8013.063, dw = -0.10468, nw = 1651 zThAr.0015.ec.fits: ap = 19, w1 = 8070.509, w2 = 7900.215, dw = -0.10321, nw = 1651 zThAr.0015.ec.fits: ap = 20, w1 = 7958.429, w2 = 7790.501, dw = -0.10177, nw = 1651 zThAr.0015.ec.fits: ap = 21, w1 = 7849.42, w2 = 7683.794, dw = -0.10038, nw = 1651 zThAr.0015.ec.fits: ap = 22, w1 = 7743.357, w2 = 7579.971, dw = -0.09902, nw = 1651 zThAr.0015.ec.fits: ap = 23, w1 = 7640.122, w2 = 7478.916, dw = -0.0977, nw = 1651 zThAr.0015.ec.fits: ap = 24, w1 = 7539.604, w2 = 7380.521, dw = -0.09641, nw = 1651 zThAr.0015.ec.fits: ap = 25, w1 = 7441.697, w2 = 7284.681, dw = -0.09516, nw = 1651 zThAr.0015.ec.fits: ap = 26, w1 = 7346.3, w2 = 7191.299, dw = -0.09394, nw = 1651 zThAr.0015.ec.fits: ap = 27, w1 = 7253.318, w2 = 7100.281, dw = -0.09275, nw = 1651 zThAr.0015.ec.fits: ap = 28, w1 = 7162.661, w2 = 7011.539, dw = -0.09159, nw = 1651 zThAr.0015.ec.fits: ap = 29, w1 = 7074.242, w2 = 6924.988, dw = -0.09046, nw = 1651 zThAr.0015.ec.fits: ap = 30, w1 = 6987.98, w2 = 6840.548, dw = -0.08935, nw = 1651 zThAr.0015.ec.fits: ap = 31, w1 = 6903.796, w2 = 6758.142, dw = -0.08827, nw = 1651 zThAr.0015.ec.fits: ap = 32, w1 = 6821.616, w2 = 6677.699, dw = -0.08722, nw = 1651 zThAr.0015.ec.fits: ap = 33, w1 = 6741.371, w2 = 6599.148, dw = -0.0862, nw = 1651 zThAr.0015.ec.fits: ap = 34, w1 = 6662.991, w2 = 6522.425, dw = -0.08519, nw = 1651 zThAr.0015.ec.fits: ap = 35, w1 = 6586.413, w2 = 6447.465, dw = -0.08421, nw = 1651 zThAr.0015.ec.fits: ap = 36, w1 = 6511.576, w2 = 6374.209, dw = -0.08325, nw = 1651 zThAr.0015.ec.fits: ap = 37, w1 = 6438.421, w2 = 6302.599, dw = -0.08232, nw = 1651 zThAr.0015.ec.fits: ap = 38, w1 = 6366.891, w2 = 6232.58, dw = -0.0814, nw = 1651 zThAr.0015.ec.fits: ap = 39, w1 = 6296.933, w2 = 6164.101, dw = -0.0805, nw = 1651 zThAr.0015.ec.fits: ap = 40, w1 = 6228.496, w2 = 6097.11, dw = -0.07963, nw = 1651 zThAr.0015.ec.fits: ap = 41, w1 = 6161.531, w2 = 6031.56, dw = -0.07877, nw = 1651 zThAr.0015.ec.fits: ap = 42, w1 = 6095.991, w2 = 5967.404, dw = -0.07793, nw = 1651 zThAr.0015.ec.fits: ap = 43, w1 = 6031.831, w2 = 5904.599, dw = -0.07711, nw = 1651 zThAr.0015.ec.fits: ap = 44, w1 = 5969.007, w2 = 5843.103, dw = -0.07631, nw = 1651 zThAr.0015.ec.fits: ap = 45, w1 = 5907.479, w2 = 5782.875, dw = -0.07552, nw = 1651 zThAr.0015.ec.fits: ap = 46, w1 = 5847.206, w2 = 5723.876, dw = -0.07475, nw = 1651 zThAr.0015.ec.fits: ap = 47, w1 = 5788.152, w2 = 5666.069, dw = -0.07399, nw = 1651 zThAr.0015.ec.fits: ap = 48, w1 = 5730.278, w2 = 5609.418, dw = -0.07325, nw = 1651 zThAr.0015.ec.fits: ap = 49, w1 = 5673.55, w2 = 5553.889, dw = -0.07252, nw = 1651 zThAr.0015.ec.fits: ap = 50, w1 = 5617.935, w2 = 5499.449, dw = -0.07181, nw = 1651 zThAr.0015.ec.fits: ap = 51, w1 = 5563.4, w2 = 5446.066, dw = -0.07111, nw = 1651 zThAr.0015.ec.fits: ap = 52, w1 = 5509.914, w2 = 5393.71, dw = -0.07043, nw = 1651 zThAr.0015.ec.fits: ap = 53, w1 = 5457.446, w2 = 5342.351, dw = -0.06975, nw = 1651 zThAr.0015.ec.fits: ap = 54, w1 = 5405.969, w2 = 5291.961, dw = -0.0691, nw = 1651 zThAr.0015.ec.fits: ap = 55, w1 = 5355.453, w2 = 5242.514, dw = -0.06845, nw = 1651 zThAr.0015.ec.fits: ap = 56, w1 = 5305.874, w2 = 5193.982, dw = -0.06781, nw = 1651 zThAr.0015.ec.fits: ap = 57, w1 = 5257.204, w2 = 5146.34, dw = -0.06719, nw = 1651 zThAr.0015.ec.fits: ap = 58, w1 = 5209.419, w2 = 5099.565, dw = -0.06658, nw = 1651 zThAr.0015.ec.fits: ap = 59, w1 = 5162.495, w2 = 5053.633, dw = -0.06598, nw = 1651 zThAr.0015.ec.fits: ap = 60, w1 = 5116.409, w2 = 5008.521, dw = -0.06539, nw = 1651 zThAr.0015.ec.fits: ap = 61, w1 = 5071.139, w2 = 4964.208, dw = -0.06481, nw = 1651 zThAr.0015.ec.fits: ap = 62, w1 = 5026.663, w2 = 4920.672, dw = -0.06424, nw = 1651 zThAr.0015.ec.fits: ap = 63, w1 = 4982.961, w2 = 4877.894, dw = -0.06368, nw = 1651 zThAr.0015.ec.fits: ap = 64, w1 = 4940.012, w2 = 4835.853, dw = -0.06313, nw = 1651 zThAr.0015.ec.fits: ap = 65, w1 = 4897.798, w2 = 4794.531, dw = -0.06259, nw = 1651 zThAr.0015.ec.fits: ap = 66, w1 = 4856.299, w2 = 4753.91, dw = -0.06205, nw = 1651 zThAr.0015.ec.fits: ap = 67, w1 = 4815.497, w2 = 4713.971, dw = -0.06153, nw = 1651 zThAr.0015.ec.fits: ap = 68, w1 = 4775.376, w2 = 4674.699, dw = -0.06102, nw = 1651 zThAr.0015.ec.fits: ap = 69, w1 = 4735.918, w2 = 4636.075, dw = -0.06051, nw = 1651 zThAr.0015.ec.fits: ap = 70, w1 = 4697.107, w2 = 4598.085, dw = -0.06001, nw = 1651 zThAr.0015.ec.fits: ap = 71, w1 = 4658.926, w2 = 4560.713, dw = -0.05952, nw = 1651 zThAr.0015.ec.fits: ap = 72, w1 = 4621.362, w2 = 4523.944, dw = -0.05904, nw = 1651 zThAr.0015.ec.fits: ap = 73, w1 = 4584.399, w2 = 4487.763, dw = -0.05857, nw = 1651 zThAr.0015.ec.fits: ap = 74, w1 = 4548.022, w2 = 4452.156, dw = -0.0581, nw = 1651 zThAr.0015.ec.fits: ap = 75, w1 = 4512.219, w2 = 4417.111, dw = -0.05764, nw = 1651 zThAr.0015.ec.fits: ap = 76, w1 = 4476.974, w2 = 4382.613, dw = -0.05719, nw = 1651 zThAr.0015.ec.fits: ap = 77, w1 = 4442.277, w2 = 4348.651, dw = -0.05674, nw = 1651 zThAr.0015.ec.fits: ap = 78, w1 = 4408.113, w2 = 4315.211, dw = -0.0563, nw = 1651 zThAr.0015.ec.fits: ap = 79, w1 = 4374.47, w2 = 4282.282, dw = -0.05587, nw = 1651 zThAr.0015.ec.fits: ap = 80, w1 = 4341.338, w2 = 4249.852, dw = -0.05545, nw = 1651 zThAr.0015.ec.fits: ap = 81, w1 = 4308.703, w2 = 4217.91, dw = -0.05503, nw = 1651 zThAr.0015.ec.fits: ap = 82, w1 = 4276.556, w2 = 4186.445, dw = -0.05461, nw = 1651 zThAr.0015.ec.fits: ap = 83, w1 = 4244.885, w2 = 4155.446, dw = -0.05421, nw = 1651 zThAr.0015.ec.fits: ap = 84, w1 = 4213.68, w2 = 4124.904, dw = -0.0538, nw = 1651 zThAr.0015.ec.fits: ap = 85, w1 = 4182.93, w2 = 4094.807, dw = -0.05341, nw = 1651 zThAr.0015.ec.fits: ap = 86, w1 = 4152.626, w2 = 4065.147, dw = -0.05302, nw = 1651 zThAr.0015.ec.fits: ap = 87, w1 = 4122.758, w2 = 4035.914, dw = -0.05263, nw = 1651 zThAr.0015.ec.fits: ap = 88, w1 = 4093.316, w2 = 4007.099, dw = -0.05225, nw = 1651 zThAr.0015.ec.fits: ap = 89, w1 = 4064.292, w2 = 3978.693, dw = -0.05188, nw = 1651 zThAr.0015.ec.fits: ap = 90, w1 = 4035.677, w2 = 3950.687, dw = -0.05151, nw = 1651 zThAr.0015.ec.fits: ap = 91, w1 = 4007.462, w2 = 3923.073, dw = -0.05114, nw = 1651 zThAr.0015.ec.fits: ap = 92, w1 = 3979.638, w2 = 3895.843, dw = -0.05078, nw = 1651 zThAr.0015.ec.fits: ap = 93, w1 = 3952.199, w2 = 3868.989, dw = -0.05043, nw = 1651 zThAr.0015.ec.fits: ap = 94, w1 = 3925.135, w2 = 3842.503, dw = -0.05008, nw = 1651 zThAr.0015.ec.fits: ap = 95, w1 = 3898.439, w2 = 3816.378, dw = -0.04973, nw = 1651 zThAr.0015.ec.fits: ap = 96, w1 = 3872.104, w2 = 3790.606, dw = -0.04939, nw = 1651 zThAr.0015.ec.fits: ap = 97, w1 = 3846.123, w2 = 3765.18, dw = -0.04906, nw = 1651 zThAr.0015.ec.fits: ap = 98, w1 = 3820.487, w2 = 3740.094, dw = -0.04872, nw = 1651 zThAr.0015.ec.fits: ap = 99, w1 = 3795.191, w2 = 3715.34, dw = -0.04839, nw = 1651 zThAr.0015.ec.fits: ap = 100, w1 = 3770.228, w2 = 3690.913, dw = -0.04807, nw = 1651 zThAr.0015.ec.fits: ap = 101, w1 = 3745.591, w2 = 3666.805, dw = -0.04775, nw = 1651 zThAr.0015.ec.fits: ap = 102, w1 = 3721.274, w2 = 3643.01, dw = -0.04743, nw = 1651 zThAr.0015.ec.fits: ap = 103, w1 = 3697.271, w2 = 3619.523, dw = -0.04712, nw = 1651 zThAr.0015.ec.fits: ap = 104, w1 = 3673.575, w2 = 3596.337, dw = -0.04681, nw = 1651 zThAr.0015.ec.fits: ap = 105, w1 = 3650.181, w2 = 3573.447, dw = -0.04651, nw = 1651 zThAr.0015.ec.fits: ap = 106, w1 = 3627.082, w2 = 3550.847, dw = -0.0462, nw = 1651 zThAr.0015.ec.fits: ap = 107, w1 = 3604.274, w2 = 3528.532, dw = -0.0459, nw = 1651 zThAr.0015.ec.fits: ap = 108, w1 = 3581.751, w2 = 3506.496, dw = -0.04561, nw = 1651 zThAr.0015.ec.fits: ap = 109, w1 = 3559.508, w2 = 3484.735, dw = -0.04532, nw = 1651 zThAr.0015.ec.fits: ap = 110, w1 = 3537.539, w2 = 3463.242, dw = -0.04503, nw = 1651 zThAr.0015.ec.fits: ap = 111, w1 = 3515.84, w2 = 3442.014, dw = -0.04474, nw = 1651 zThAr.0015.ec.fits: ap = 112, w1 = 3494.404, w2 = 3421.044, dw = -0.04446, nw = 1651 zThAr.0015.ec.fits: ap = 113, w1 = 3473.229, w2 = 3400.33, dw = -0.04418, nw = 1651 zThAr.0015.ec.fits: ap = 114, w1 = 3452.308, w2 = 3379.865, dw = -0.0439, nw = 1651 zThAr.0015.ec.fits: ap = 115, w1 = 3431.638, w2 = 3359.646, dw = -0.04363, nw = 1651 ThAr_blue.0010.ec.fits: REFSPEC1 = 'ThAr_blue.0010.ec 1.' zThAr_blue.0010.ec.fits: ap = 1, w1 = 10811.08, w2 = 10582.88, dw = -0.1383, nw = 1651 zThAr_blue.0010.ec.fits: ap = 2, w1 = 10610.89, w2 = 10386.92, dw = -0.13574, nw = 1651 zThAr_blue.0010.ec.fits: ap = 3, w1 = 10417.98, w2 = 10198.09, dw = -0.13327, nw = 1651 zThAr_blue.0010.ec.fits: ap = 4, w1 = 10231.96, w2 = 10016., dw = -0.13089, nw = 1651 zThAr_blue.0010.ec.fits: ap = 5, w1 = 10052.47, w2 = 9840.297, dw = -0.12859, nw = 1651 zThAr_blue.0010.ec.fits: ap = 6, w1 = 9879.162, w2 = 9670.654, dw = -0.12637, nw = 1651 zThAr_blue.0010.ec.fits: ap = 7, w1 = 9711.732, w2 = 9506.762, dw = -0.12422, nw = 1651 zThAr_blue.0010.ec.fits: ap = 8, w1 = 9549.884, w2 = 9348.333, dw = -0.12215, nw = 1651 zThAr_blue.0010.ec.fits: ap = 9, w1 = 9393.341, w2 = 9195.098, dw = -0.12015, nw = 1651 zThAr_blue.0010.ec.fits: ap = 10, w1 = 9241.849, w2 = 9046.806, dw = -0.11821, nw = 1651 zThAr_blue.0010.ec.fits: ap = 11, w1 = 9095.165, w2 = 8903.221, dw = -0.11633, nw = 1651 zThAr_blue.0010.ec.fits: ap = 12, w1 = 8953.065, w2 = 8764.123, dw = -0.11451, nw = 1651 zThAr_blue.0010.ec.fits: ap = 13, w1 = 8815.337, w2 = 8629.305, dw = -0.11275, nw = 1651 zThAr_blue.0010.ec.fits: ap = 14, w1 = 8681.783, w2 = 8498.572, dw = -0.11104, nw = 1651 zThAr_blue.0010.ec.fits: ap = 15, w1 = 8552.216, w2 = 8371.742, dw = -0.10938, nw = 1651 zThAr_blue.0010.ec.fits: ap = 16, w1 = 8426.459, w2 = 8248.641, dw = -0.10777, nw = 1651 zThAr_blue.0010.ec.fits: ap = 17, w1 = 8304.347, w2 = 8129.109, dw = -0.1062, nw = 1651 zThAr_blue.0010.ec.fits: ap = 18, w1 = 8185.724, w2 = 8012.992, dw = -0.10469, nw = 1651 zThAr_blue.0010.ec.fits: ap = 19, w1 = 8070.443, w2 = 7900.145, dw = -0.10321, nw = 1651 zThAr_blue.0010.ec.fits: ap = 20, w1 = 7958.363, w2 = 7790.433, dw = -0.10178, nw = 1651 zThAr_blue.0010.ec.fits: ap = 21, w1 = 7849.355, w2 = 7683.727, dw = -0.10038, nw = 1651 zThAr_blue.0010.ec.fits: ap = 22, w1 = 7743.292, w2 = 7579.905, dw = -0.09902, nw = 1651 zThAr_blue.0010.ec.fits: ap = 23, w1 = 7640.058, w2 = 7478.851, dw = -0.0977, nw = 1651 zThAr_blue.0010.ec.fits: ap = 24, w1 = 7539.541, w2 = 7380.457, dw = -0.09641, nw = 1651 zThAr_blue.0010.ec.fits: ap = 25, w1 = 7441.634, w2 = 7284.618, dw = -0.09516, nw = 1651 zThAr_blue.0010.ec.fits: ap = 26, w1 = 7346.238, w2 = 7191.237, dw = -0.09394, nw = 1651 zThAr_blue.0010.ec.fits: ap = 27, w1 = 7253.256, w2 = 7100.22, dw = -0.09275, nw = 1651 zThAr_blue.0010.ec.fits: ap = 28, w1 = 7162.6, w2 = 7011.478, dw = -0.09159, nw = 1651 zThAr_blue.0010.ec.fits: ap = 29, w1 = 7074.182, w2 = 6924.927, dw = -0.09046, nw = 1651 zThAr_blue.0010.ec.fits: ap = 30, w1 = 6987.92, w2 = 6840.488, dw = -0.08935, nw = 1651 zThAr_blue.0010.ec.fits: ap = 31, w1 = 6903.737, w2 = 6758.083, dw = -0.08828, nw = 1651 zThAr_blue.0010.ec.fits: ap = 32, w1 = 6821.558, w2 = 6677.64, dw = -0.08722, nw = 1651 zThAr_blue.0010.ec.fits: ap = 33, w1 = 6741.313, w2 = 6599.09, dw = -0.0862, nw = 1651 zThAr_blue.0010.ec.fits: ap = 34, w1 = 6662.935, w2 = 6522.367, dw = -0.08519, nw = 1651 zThAr_blue.0010.ec.fits: ap = 35, w1 = 6586.358, w2 = 6447.407, dw = -0.08421, nw = 1651 zThAr_blue.0010.ec.fits: ap = 36, w1 = 6511.521, w2 = 6374.152, dw = -0.08325, nw = 1651 zThAr_blue.0010.ec.fits: ap = 37, w1 = 6438.366, w2 = 6302.542, dw = -0.08232, nw = 1651 zThAr_blue.0010.ec.fits: ap = 38, w1 = 6366.837, w2 = 6232.524, dw = -0.0814, nw = 1651 zThAr_blue.0010.ec.fits: ap = 39, w1 = 6296.88, w2 = 6164.045, dw = -0.08051, nw = 1651 zThAr_blue.0010.ec.fits: ap = 40, w1 = 6228.444, w2 = 6097.054, dw = -0.07963, nw = 1651 zThAr_blue.0010.ec.fits: ap = 41, w1 = 6161.48, w2 = 6031.505, dw = -0.07877, nw = 1651 zThAr_blue.0010.ec.fits: ap = 42, w1 = 6095.94, w2 = 5967.35, dw = -0.07793, nw = 1651 zThAr_blue.0010.ec.fits: ap = 43, w1 = 6031.781, w2 = 5904.546, dw = -0.07711, nw = 1651 zThAr_blue.0010.ec.fits: ap = 44, w1 = 5968.958, w2 = 5843.05, dw = -0.07631, nw = 1651 zThAr_blue.0010.ec.fits: ap = 45, w1 = 5907.43, w2 = 5782.822, dw = -0.07552, nw = 1651 zThAr_blue.0010.ec.fits: ap = 46, w1 = 5847.158, w2 = 5723.824, dw = -0.07475, nw = 1651 zThAr_blue.0010.ec.fits: ap = 47, w1 = 5788.104, w2 = 5666.017, dw = -0.07399, nw = 1651 zThAr_blue.0010.ec.fits: ap = 48, w1 = 5730.231, w2 = 5609.367, dw = -0.07325, nw = 1651 zThAr_blue.0010.ec.fits: ap = 49, w1 = 5673.504, w2 = 5553.838, dw = -0.07252, nw = 1651 zThAr_blue.0010.ec.fits: ap = 50, w1 = 5617.889, w2 = 5499.399, dw = -0.07181, nw = 1651 zThAr_blue.0010.ec.fits: ap = 51, w1 = 5563.355, w2 = 5446.017, dw = -0.07111, nw = 1651 zThAr_blue.0010.ec.fits: ap = 52, w1 = 5509.869, w2 = 5393.661, dw = -0.07043, nw = 1651 zThAr_blue.0010.ec.fits: ap = 53, w1 = 5457.402, w2 = 5342.302, dw = -0.06976, nw = 1651 zThAr_blue.0010.ec.fits: ap = 54, w1 = 5405.925, w2 = 5291.913, dw = -0.0691, nw = 1651 zThAr_blue.0010.ec.fits: ap = 55, w1 = 5355.41, w2 = 5242.466, dw = -0.06845, nw = 1651 zThAr_blue.0010.ec.fits: ap = 56, w1 = 5305.831, w2 = 5193.934, dw = -0.06782, nw = 1651 zThAr_blue.0010.ec.fits: ap = 57, w1 = 5257.161, w2 = 5146.294, dw = -0.06719, nw = 1651 zThAr_blue.0010.ec.fits: ap = 58, w1 = 5209.377, w2 = 5099.519, dw = -0.06658, nw = 1651 zThAr_blue.0010.ec.fits: ap = 59, w1 = 5162.454, w2 = 5053.587, dw = -0.06598, nw = 1651 zThAr_blue.0010.ec.fits: ap = 60, w1 = 5116.368, w2 = 5008.476, dw = -0.06539, nw = 1651 zThAr_blue.0010.ec.fits: ap = 61, w1 = 5071.098, w2 = 4964.163, dw = -0.06481, nw = 1651 zThAr_blue.0010.ec.fits: ap = 62, w1 = 5026.623, w2 = 4920.627, dw = -0.06424, nw = 1651 zThAr_blue.0010.ec.fits: ap = 63, w1 = 4982.921, w2 = 4877.849, dw = -0.06368, nw = 1651 zThAr_blue.0010.ec.fits: ap = 64, w1 = 4939.973, w2 = 4835.809, dw = -0.06313, nw = 1651 zThAr_blue.0010.ec.fits: ap = 65, w1 = 4897.758, w2 = 4794.487, dw = -0.06259, nw = 1651 zThAr_blue.0010.ec.fits: ap = 66, w1 = 4856.26, w2 = 4753.865, dw = -0.06206, nw = 1651 zThAr_blue.0010.ec.fits: ap = 67, w1 = 4815.459, w2 = 4713.927, dw = -0.06153, nw = 1651 zThAr_blue.0010.ec.fits: ap = 68, w1 = 4775.338, w2 = 4674.654, dw = -0.06102, nw = 1651 zThAr_blue.0010.ec.fits: ap = 69, w1 = 4735.88, w2 = 4636.03, dw = -0.06052, nw = 1651 zThAr_blue.0010.ec.fits: ap = 70, w1 = 4697.069, w2 = 4598.04, dw = -0.06002, nw = 1651 zThAr_blue.0010.ec.fits: ap = 71, w1 = 4658.889, w2 = 4560.667, dw = -0.05953, nw = 1651 zThAr_blue.0010.ec.fits: ap = 72, w1 = 4621.325, w2 = 4523.897, dw = -0.05905, nw = 1651 zThAr_blue.0010.ec.fits: ap = 73, w1 = 4584.362, w2 = 4487.716, dw = -0.05857, nw = 1651 zThAr_blue.0010.ec.fits: ap = 74, w1 = 4547.986, w2 = 4452.109, dw = -0.05811, nw = 1651 zThAr_blue.0010.ec.fits: ap = 75, w1 = 4512.183, w2 = 4417.062, dw = -0.05765, nw = 1651 zThAr_blue.0010.ec.fits: ap = 76, w1 = 4476.939, w2 = 4382.564, dw = -0.0572, nw = 1651 zThAr_blue.0010.ec.fits: ap = 77, w1 = 4442.242, w2 = 4348.6, dw = -0.05675, nw = 1651 zThAr_blue.0010.ec.fits: ap = 78, w1 = 4408.079, w2 = 4315.159, dw = -0.05632, nw = 1651 zThAr_blue.0010.ec.fits: ap = 79, w1 = 4374.437, w2 = 4282.228, dw = -0.05588, nw = 1651 zThAr_blue.0010.ec.fits: ap = 80, w1 = 4341.305, w2 = 4249.797, dw = -0.05546, nw = 1651 zThAr_blue.0010.ec.fits: ap = 81, w1 = 4308.671, w2 = 4217.853, dw = -0.05504, nw = 1651 zThAr_blue.0010.ec.fits: ap = 82, w1 = 4276.525, w2 = 4186.386, dw = -0.05463, nw = 1651 zThAr_blue.0010.ec.fits: ap = 83, w1 = 4244.854, w2 = 4155.385, dw = -0.05422, nw = 1651 zThAr_blue.0010.ec.fits: ap = 84, w1 = 4213.65, w2 = 4124.84, dw = -0.05382, nw = 1651 zThAr_blue.0010.ec.fits: ap = 85, w1 = 4182.9, w2 = 4094.741, dw = -0.05343, nw = 1651 zThAr_blue.0010.ec.fits: ap = 86, w1 = 4152.597, w2 = 4065.078, dw = -0.05304, nw = 1651 zThAr_blue.0010.ec.fits: ap = 87, w1 = 4122.73, w2 = 4035.842, dw = -0.05266, nw = 1651 zThAr_blue.0010.ec.fits: ap = 88, w1 = 4093.289, w2 = 4007.024, dw = -0.05228, nw = 1651 zThAr_blue.0010.ec.fits: ap = 89, w1 = 4064.266, w2 = 3978.614, dw = -0.05191, nw = 1651 zThAr_blue.0010.ec.fits: ap = 90, w1 = 4035.652, w2 = 3950.605, dw = -0.05154, nw = 1651 zThAr_blue.0010.ec.fits: ap = 91, w1 = 4007.438, w2 = 3922.987, dw = -0.05118, nw = 1651 zThAr_blue.0010.ec.fits: ap = 92, w1 = 3979.616, w2 = 3895.753, dw = -0.05083, nw = 1651 zThAr_blue.0010.ec.fits: ap = 93, w1 = 3952.177, w2 = 3868.894, dw = -0.05047, nw = 1651 zThAr_blue.0010.ec.fits: ap = 94, w1 = 3925.115, w2 = 3842.404, dw = -0.05013, nw = 1651 zThAr_blue.0010.ec.fits: ap = 95, w1 = 3898.421, w2 = 3816.273, dw = -0.04979, nw = 1651 zThAr_blue.0010.ec.fits: ap = 96, w1 = 3872.087, w2 = 3790.496, dw = -0.04945, nw = 1651 zThAr_blue.0010.ec.fits: ap = 97, w1 = 3846.107, w2 = 3765.065, dw = -0.04912, nw = 1651 zThAr_blue.0010.ec.fits: ap = 98, w1 = 3820.473, w2 = 3739.973, dw = -0.04879, nw = 1651 zThAr_blue.0010.ec.fits: ap = 99, w1 = 3795.179, w2 = 3715.213, dw = -0.04846, nw = 1651 zThAr_blue.0010.ec.fits: ap = 100, w1 = 3770.218, w2 = 3690.779, dw = -0.04814, nw = 1651 zThAr_blue.0010.ec.fits: ap = 101, w1 = 3745.583, w2 = 3666.664, dw = -0.04783, nw = 1651 zThAr_blue.0010.ec.fits: ap = 102, w1 = 3721.268, w2 = 3642.862, dw = -0.04752, nw = 1651 zThAr_blue.0010.ec.fits: ap = 103, w1 = 3697.266, w2 = 3619.368, dw = -0.04721, nw = 1651 zThAr_blue.0010.ec.fits: ap = 104, w1 = 3673.572, w2 = 3596.174, dw = -0.04691, nw = 1651 zThAr_blue.0010.ec.fits: ap = 105, w1 = 3650.18, w2 = 3573.276, dw = -0.04661, nw = 1651 zThAr_blue.0010.ec.fits: ap = 106, w1 = 3627.085, w2 = 3550.668, dw = -0.04631, nw = 1651 zThAr_blue.0010.ec.fits: ap = 107, w1 = 3604.279, w2 = 3528.344, dw = -0.04602, nw = 1651 zThAr_blue.0010.ec.fits: ap = 108, w1 = 3581.759, w2 = 3506.298, dw = -0.04573, nw = 1651 zThAr_blue.0010.ec.fits: ap = 109, w1 = 3559.518, w2 = 3484.527, dw = -0.04545, nw = 1651 zThAr_blue.0010.ec.fits: ap = 110, w1 = 3537.552, w2 = 3463.024, dw = -0.04517, nw = 1651 zThAr_blue.0010.ec.fits: ap = 111, w1 = 3515.855, w2 = 3441.785, dw = -0.04489, nw = 1651 zThAr_blue.0010.ec.fits: ap = 112, w1 = 3494.423, w2 = 3420.805, dw = -0.04462, nw = 1651 zThAr_blue.0010.ec.fits: ap = 113, w1 = 3473.251, w2 = 3400.079, dw = -0.04435, nw = 1651 zThAr_blue.0010.ec.fits: ap = 114, w1 = 3452.334, w2 = 3379.603, dw = -0.04408, nw = 1651 zThAr_blue.0010.ec.fits: ap = 115, w1 = 3431.667, w2 = 3359.371, dw = -0.04382, nw = 1651 ThAr_blue.0011.ec.fits: REFSPEC1 = 'ThAr_blue.0011.ec 1.' zThAr_blue.0011.ec.fits: ap = 1, w1 = 10811.11, w2 = 10582.93, dw = -0.13829, nw = 1651 zThAr_blue.0011.ec.fits: ap = 2, w1 = 10610.92, w2 = 10386.97, dw = -0.13573, nw = 1651 zThAr_blue.0011.ec.fits: ap = 3, w1 = 10418.01, w2 = 10198.13, dw = -0.13326, nw = 1651 zThAr_blue.0011.ec.fits: ap = 4, w1 = 10231.99, w2 = 10016.04, dw = -0.13088, nw = 1651 zThAr_blue.0011.ec.fits: ap = 5, w1 = 10052.49, w2 = 9840.337, dw = -0.12858, nw = 1651 zThAr_blue.0011.ec.fits: ap = 6, w1 = 9879.187, w2 = 9670.692, dw = -0.12636, nw = 1651 zThAr_blue.0011.ec.fits: ap = 7, w1 = 9711.756, w2 = 9506.797, dw = -0.12422, nw = 1651 zThAr_blue.0011.ec.fits: ap = 8, w1 = 9549.907, w2 = 9348.365, dw = -0.12215, nw = 1651 zThAr_blue.0011.ec.fits: ap = 9, w1 = 9393.363, w2 = 9195.128, dw = -0.12014, nw = 1651 zThAr_blue.0011.ec.fits: ap = 10, w1 = 9241.87, w2 = 9046.834, dw = -0.1182, nw = 1651 zThAr_blue.0011.ec.fits: ap = 11, w1 = 9095.186, w2 = 8903.247, dw = -0.11633, nw = 1651 zThAr_blue.0011.ec.fits: ap = 12, w1 = 8953.085, w2 = 8764.148, dw = -0.11451, nw = 1651 zThAr_blue.0011.ec.fits: ap = 13, w1 = 8815.357, w2 = 8629.328, dw = -0.11274, nw = 1651 zThAr_blue.0011.ec.fits: ap = 14, w1 = 8681.802, w2 = 8498.594, dw = -0.11104, nw = 1651 zThAr_blue.0011.ec.fits: ap = 15, w1 = 8552.234, w2 = 8371.762, dw = -0.10938, nw = 1651 zThAr_blue.0011.ec.fits: ap = 16, w1 = 8426.476, w2 = 8248.661, dw = -0.10777, nw = 1651 zThAr_blue.0011.ec.fits: ap = 17, w1 = 8304.364, w2 = 8129.127, dw = -0.1062, nw = 1651 zThAr_blue.0011.ec.fits: ap = 18, w1 = 8185.741, w2 = 8013.009, dw = -0.10469, nw = 1651 zThAr_blue.0011.ec.fits: ap = 19, w1 = 8070.459, w2 = 7900.162, dw = -0.10321, nw = 1651 zThAr_blue.0011.ec.fits: ap = 20, w1 = 7958.379, w2 = 7790.45, dw = -0.10178, nw = 1651 zThAr_blue.0011.ec.fits: ap = 21, w1 = 7849.37, w2 = 7683.743, dw = -0.10038, nw = 1651 zThAr_blue.0011.ec.fits: ap = 22, w1 = 7743.307, w2 = 7579.92, dw = -0.09902, nw = 1651 zThAr_blue.0011.ec.fits: ap = 23, w1 = 7640.072, w2 = 7478.866, dw = -0.0977, nw = 1651 zThAr_blue.0011.ec.fits: ap = 24, w1 = 7539.554, w2 = 7380.471, dw = -0.09641, nw = 1651 zThAr_blue.0011.ec.fits: ap = 25, w1 = 7441.647, w2 = 7284.632, dw = -0.09516, nw = 1651 zThAr_blue.0011.ec.fits: ap = 26, w1 = 7346.251, w2 = 7191.251, dw = -0.09394, nw = 1651 zThAr_blue.0011.ec.fits: ap = 27, w1 = 7253.269, w2 = 7100.233, dw = -0.09275, nw = 1651 zThAr_blue.0011.ec.fits: ap = 28, w1 = 7162.612, w2 = 7011.491, dw = -0.09159, nw = 1651 zThAr_blue.0011.ec.fits: ap = 29, w1 = 7074.194, w2 = 6924.94, dw = -0.09046, nw = 1651 zThAr_blue.0011.ec.fits: ap = 30, w1 = 6987.932, w2 = 6840.501, dw = -0.08935, nw = 1651 zThAr_blue.0011.ec.fits: ap = 31, w1 = 6903.749, w2 = 6758.096, dw = -0.08827, nw = 1651 zThAr_blue.0011.ec.fits: ap = 32, w1 = 6821.57, w2 = 6677.653, dw = -0.08722, nw = 1651 zThAr_blue.0011.ec.fits: ap = 33, w1 = 6741.324, w2 = 6599.102, dw = -0.0862, nw = 1651 zThAr_blue.0011.ec.fits: ap = 34, w1 = 6662.945, w2 = 6522.379, dw = -0.08519, nw = 1651 zThAr_blue.0011.ec.fits: ap = 35, w1 = 6586.368, w2 = 6447.42, dw = -0.08421, nw = 1651 zThAr_blue.0011.ec.fits: ap = 36, w1 = 6511.531, w2 = 6374.164, dw = -0.08325, nw = 1651 zThAr_blue.0011.ec.fits: ap = 37, w1 = 6438.376, w2 = 6302.554, dw = -0.08232, nw = 1651 zThAr_blue.0011.ec.fits: ap = 38, w1 = 6366.847, w2 = 6232.536, dw = -0.0814, nw = 1651 zThAr_blue.0011.ec.fits: ap = 39, w1 = 6296.89, w2 = 6164.057, dw = -0.0805, nw = 1651 zThAr_blue.0011.ec.fits: ap = 40, w1 = 6228.453, w2 = 6097.066, dw = -0.07963, nw = 1651 zThAr_blue.0011.ec.fits: ap = 41, w1 = 6161.489, w2 = 6031.516, dw = -0.07877, nw = 1651 zThAr_blue.0011.ec.fits: ap = 42, w1 = 6095.949, w2 = 5967.361, dw = -0.07793, nw = 1651 zThAr_blue.0011.ec.fits: ap = 43, w1 = 6031.789, w2 = 5904.557, dw = -0.07711, nw = 1651 zThAr_blue.0011.ec.fits: ap = 44, w1 = 5968.966, w2 = 5843.061, dw = -0.07631, nw = 1651 zThAr_blue.0011.ec.fits: ap = 45, w1 = 5907.438, w2 = 5782.833, dw = -0.07552, nw = 1651 zThAr_blue.0011.ec.fits: ap = 46, w1 = 5847.166, w2 = 5723.835, dw = -0.07475, nw = 1651 zThAr_blue.0011.ec.fits: ap = 47, w1 = 5788.112, w2 = 5666.028, dw = -0.07399, nw = 1651 zThAr_blue.0011.ec.fits: ap = 48, w1 = 5730.239, w2 = 5609.378, dw = -0.07325, nw = 1651 zThAr_blue.0011.ec.fits: ap = 49, w1 = 5673.512, w2 = 5553.849, dw = -0.07252, nw = 1651 zThAr_blue.0011.ec.fits: ap = 50, w1 = 5617.897, w2 = 5499.41, dw = -0.07181, nw = 1651 zThAr_blue.0011.ec.fits: ap = 51, w1 = 5563.362, w2 = 5446.027, dw = -0.07111, nw = 1651 zThAr_blue.0011.ec.fits: ap = 52, w1 = 5509.876, w2 = 5393.672, dw = -0.07043, nw = 1651 zThAr_blue.0011.ec.fits: ap = 53, w1 = 5457.409, w2 = 5342.313, dw = -0.06976, nw = 1651 zThAr_blue.0011.ec.fits: ap = 54, w1 = 5405.932, w2 = 5291.924, dw = -0.0691, nw = 1651 zThAr_blue.0011.ec.fits: ap = 55, w1 = 5355.417, w2 = 5242.477, dw = -0.06845, nw = 1651 zThAr_blue.0011.ec.fits: ap = 56, w1 = 5305.838, w2 = 5193.945, dw = -0.06781, nw = 1651 zThAr_blue.0011.ec.fits: ap = 57, w1 = 5257.169, w2 = 5146.304, dw = -0.06719, nw = 1651 zThAr_blue.0011.ec.fits: ap = 58, w1 = 5209.384, w2 = 5099.529, dw = -0.06658, nw = 1651 zThAr_blue.0011.ec.fits: ap = 59, w1 = 5162.461, w2 = 5053.598, dw = -0.06598, nw = 1651 zThAr_blue.0011.ec.fits: ap = 60, w1 = 5116.375, w2 = 5008.486, dw = -0.06539, nw = 1651 zThAr_blue.0011.ec.fits: ap = 61, w1 = 5071.106, w2 = 4964.173, dw = -0.06481, nw = 1651 zThAr_blue.0011.ec.fits: ap = 62, w1 = 5026.63, w2 = 4920.638, dw = -0.06424, nw = 1651 zThAr_blue.0011.ec.fits: ap = 63, w1 = 4982.928, w2 = 4877.86, dw = -0.06368, nw = 1651 zThAr_blue.0011.ec.fits: ap = 64, w1 = 4939.98, w2 = 4835.819, dw = -0.06313, nw = 1651 zThAr_blue.0011.ec.fits: ap = 65, w1 = 4897.766, w2 = 4794.497, dw = -0.06259, nw = 1651 zThAr_blue.0011.ec.fits: ap = 66, w1 = 4856.268, w2 = 4753.876, dw = -0.06206, nw = 1651 zThAr_blue.0011.ec.fits: ap = 67, w1 = 4815.467, w2 = 4713.938, dw = -0.06153, nw = 1651 zThAr_blue.0011.ec.fits: ap = 68, w1 = 4775.346, w2 = 4674.665, dw = -0.06102, nw = 1651 zThAr_blue.0011.ec.fits: ap = 69, w1 = 4735.889, w2 = 4636.041, dw = -0.06051, nw = 1651 zThAr_blue.0011.ec.fits: ap = 70, w1 = 4697.078, w2 = 4598.051, dw = -0.06002, nw = 1651 zThAr_blue.0011.ec.fits: ap = 71, w1 = 4658.899, w2 = 4560.679, dw = -0.05953, nw = 1651 zThAr_blue.0011.ec.fits: ap = 72, w1 = 4621.335, w2 = 4523.909, dw = -0.05905, nw = 1651 zThAr_blue.0011.ec.fits: ap = 73, w1 = 4584.373, w2 = 4487.728, dw = -0.05857, nw = 1651 zThAr_blue.0011.ec.fits: ap = 74, w1 = 4547.997, w2 = 4452.121, dw = -0.05811, nw = 1651 zThAr_blue.0011.ec.fits: ap = 75, w1 = 4512.194, w2 = 4417.076, dw = -0.05765, nw = 1651 zThAr_blue.0011.ec.fits: ap = 76, w1 = 4476.951, w2 = 4382.577, dw = -0.0572, nw = 1651 zThAr_blue.0011.ec.fits: ap = 77, w1 = 4442.254, w2 = 4348.614, dw = -0.05675, nw = 1651 zThAr_blue.0011.ec.fits: ap = 78, w1 = 4408.091, w2 = 4315.174, dw = -0.05631, nw = 1651 zThAr_blue.0011.ec.fits: ap = 79, w1 = 4374.45, w2 = 4282.244, dw = -0.05588, nw = 1651 zThAr_blue.0011.ec.fits: ap = 80, w1 = 4341.319, w2 = 4249.813, dw = -0.05546, nw = 1651 zThAr_blue.0011.ec.fits: ap = 81, w1 = 4308.686, w2 = 4217.87, dw = -0.05504, nw = 1651 zThAr_blue.0011.ec.fits: ap = 82, w1 = 4276.54, w2 = 4186.403, dw = -0.05463, nw = 1651 zThAr_blue.0011.ec.fits: ap = 83, w1 = 4244.87, w2 = 4155.403, dw = -0.05422, nw = 1651 zThAr_blue.0011.ec.fits: ap = 84, w1 = 4213.667, w2 = 4124.859, dw = -0.05382, nw = 1651 zThAr_blue.0011.ec.fits: ap = 85, w1 = 4182.919, w2 = 4094.761, dw = -0.05343, nw = 1651 zThAr_blue.0011.ec.fits: ap = 86, w1 = 4152.616, w2 = 4065.099, dw = -0.05304, nw = 1651 zThAr_blue.0011.ec.fits: ap = 87, w1 = 4122.75, w2 = 4035.865, dw = -0.05266, nw = 1651 zThAr_blue.0011.ec.fits: ap = 88, w1 = 4093.31, w2 = 4007.047, dw = -0.05228, nw = 1651 zThAr_blue.0011.ec.fits: ap = 89, w1 = 4064.288, w2 = 3978.639, dw = -0.05191, nw = 1651 zThAr_blue.0011.ec.fits: ap = 90, w1 = 4035.675, w2 = 3950.631, dw = -0.05154, nw = 1651 zThAr_blue.0011.ec.fits: ap = 91, w1 = 4007.462, w2 = 3923.015, dw = -0.05118, nw = 1651 zThAr_blue.0011.ec.fits: ap = 92, w1 = 3979.642, w2 = 3895.782, dw = -0.05082, nw = 1651 zThAr_blue.0011.ec.fits: ap = 93, w1 = 3952.204, w2 = 3868.925, dw = -0.05047, nw = 1651 zThAr_blue.0011.ec.fits: ap = 94, w1 = 3925.143, w2 = 3842.436, dw = -0.05013, nw = 1651 zThAr_blue.0011.ec.fits: ap = 95, w1 = 3898.45, w2 = 3816.308, dw = -0.04978, nw = 1651 zThAr_blue.0011.ec.fits: ap = 96, w1 = 3872.118, w2 = 3790.533, dw = -0.04945, nw = 1651 zThAr_blue.0011.ec.fits: ap = 97, w1 = 3846.14, w2 = 3765.104, dw = -0.04911, nw = 1651 zThAr_blue.0011.ec.fits: ap = 98, w1 = 3820.508, w2 = 3740.014, dw = -0.04878, nw = 1651 zThAr_blue.0011.ec.fits: ap = 99, w1 = 3795.215, w2 = 3715.256, dw = -0.04846, nw = 1651 zThAr_blue.0011.ec.fits: ap = 100, w1 = 3770.256, w2 = 3690.824, dw = -0.04814, nw = 1651 zThAr_blue.0011.ec.fits: ap = 101, w1 = 3745.622, w2 = 3666.712, dw = -0.04782, nw = 1651 zThAr_blue.0011.ec.fits: ap = 102, w1 = 3721.309, w2 = 3642.913, dw = -0.04751, nw = 1651 zThAr_blue.0011.ec.fits: ap = 103, w1 = 3697.31, w2 = 3619.421, dw = -0.04721, nw = 1651 zThAr_blue.0011.ec.fits: ap = 104, w1 = 3673.618, w2 = 3596.23, dw = -0.0469, nw = 1651 zThAr_blue.0011.ec.fits: ap = 105, w1 = 3650.228, w2 = 3573.335, dw = -0.0466, nw = 1651 zThAr_blue.0011.ec.fits: ap = 106, w1 = 3627.134, w2 = 3550.73, dw = -0.04631, nw = 1651 zThAr_blue.0011.ec.fits: ap = 107, w1 = 3604.331, w2 = 3528.409, dw = -0.04601, nw = 1651 zThAr_blue.0011.ec.fits: ap = 108, w1 = 3581.813, w2 = 3506.367, dw = -0.04572, nw = 1651 zThAr_blue.0011.ec.fits: ap = 109, w1 = 3559.575, w2 = 3484.599, dw = -0.04544, nw = 1651 zThAr_blue.0011.ec.fits: ap = 110, w1 = 3537.611, w2 = 3463.1, dw = -0.04516, nw = 1651 zThAr_blue.0011.ec.fits: ap = 111, w1 = 3515.917, w2 = 3441.865, dw = -0.04488, nw = 1651 zThAr_blue.0011.ec.fits: ap = 112, w1 = 3494.488, w2 = 3420.888, dw = -0.04461, nw = 1651 zThAr_blue.0011.ec.fits: ap = 113, w1 = 3473.318, w2 = 3400.167, dw = -0.04433, nw = 1651 zThAr_blue.0011.ec.fits: ap = 114, w1 = 3452.403, w2 = 3379.694, dw = -0.04407, nw = 1651 zThAr_blue.0011.ec.fits: ap = 115, w1 = 3431.74, w2 = 3359.468, dw = -0.0438, nw = 1651 ThAr_blue.0012.ec.fits: REFSPEC1 = 'ThAr_blue.0012.ec 1.' zThAr_blue.0012.ec.fits: ap = 1, w1 = 10811.12, w2 = 10582.96, dw = -0.13828, nw = 1651 zThAr_blue.0012.ec.fits: ap = 2, w1 = 10610.93, w2 = 10386.99, dw = -0.13572, nw = 1651 zThAr_blue.0012.ec.fits: ap = 3, w1 = 10418.02, w2 = 10198.16, dw = -0.13325, nw = 1651 zThAr_blue.0012.ec.fits: ap = 4, w1 = 10232., w2 = 10016.06, dw = -0.13087, nw = 1651 zThAr_blue.0012.ec.fits: ap = 5, w1 = 10052.51, w2 = 9840.358, dw = -0.12857, nw = 1651 zThAr_blue.0012.ec.fits: ap = 6, w1 = 9879.2, w2 = 9670.712, dw = -0.12636, nw = 1651 zThAr_blue.0012.ec.fits: ap = 7, w1 = 9711.77, w2 = 9506.817, dw = -0.12421, nw = 1651 zThAr_blue.0012.ec.fits: ap = 8, w1 = 9549.92, w2 = 9348.385, dw = -0.12214, nw = 1651 zThAr_blue.0012.ec.fits: ap = 9, w1 = 9393.377, w2 = 9195.147, dw = -0.12014, nw = 1651 zThAr_blue.0012.ec.fits: ap = 10, w1 = 9241.883, w2 = 9046.853, dw = -0.1182, nw = 1651 zThAr_blue.0012.ec.fits: ap = 11, w1 = 9095.199, w2 = 8903.266, dw = -0.11632, nw = 1651 zThAr_blue.0012.ec.fits: ap = 12, w1 = 8953.098, w2 = 8764.166, dw = -0.1145, nw = 1651 zThAr_blue.0012.ec.fits: ap = 13, w1 = 8815.37, w2 = 8629.346, dw = -0.11274, nw = 1651 zThAr_blue.0012.ec.fits: ap = 14, w1 = 8681.815, w2 = 8498.612, dw = -0.11103, nw = 1651 zThAr_blue.0012.ec.fits: ap = 15, w1 = 8552.247, w2 = 8371.78, dw = -0.10937, nw = 1651 zThAr_blue.0012.ec.fits: ap = 16, w1 = 8426.49, w2 = 8248.678, dw = -0.10776, nw = 1651 zThAr_blue.0012.ec.fits: ap = 17, w1 = 8304.378, w2 = 8129.145, dw = -0.1062, nw = 1651 zThAr_blue.0012.ec.fits: ap = 18, w1 = 8185.755, w2 = 8013.027, dw = -0.10468, nw = 1651 zThAr_blue.0012.ec.fits: ap = 19, w1 = 8070.473, w2 = 7900.18, dw = -0.10321, nw = 1651 zThAr_blue.0012.ec.fits: ap = 20, w1 = 7958.393, w2 = 7790.467, dw = -0.10177, nw = 1651 zThAr_blue.0012.ec.fits: ap = 21, w1 = 7849.384, w2 = 7683.76, dw = -0.10038, nw = 1651 zThAr_blue.0012.ec.fits: ap = 22, w1 = 7743.322, w2 = 7579.938, dw = -0.09902, nw = 1651 zThAr_blue.0012.ec.fits: ap = 23, w1 = 7640.087, w2 = 7478.884, dw = -0.0977, nw = 1651 zThAr_blue.0012.ec.fits: ap = 24, w1 = 7539.57, w2 = 7380.489, dw = -0.09641, nw = 1651 zThAr_blue.0012.ec.fits: ap = 25, w1 = 7441.663, w2 = 7284.65, dw = -0.09516, nw = 1651 zThAr_blue.0012.ec.fits: ap = 26, w1 = 7346.267, w2 = 7191.268, dw = -0.09394, nw = 1651 zThAr_blue.0012.ec.fits: ap = 27, w1 = 7253.285, w2 = 7100.251, dw = -0.09275, nw = 1651 zThAr_blue.0012.ec.fits: ap = 28, w1 = 7162.628, w2 = 7011.509, dw = -0.09159, nw = 1651 zThAr_blue.0012.ec.fits: ap = 29, w1 = 7074.21, w2 = 6924.958, dw = -0.09046, nw = 1651 zThAr_blue.0012.ec.fits: ap = 30, w1 = 6987.948, w2 = 6840.518, dw = -0.08935, nw = 1651 zThAr_blue.0012.ec.fits: ap = 31, w1 = 6903.765, w2 = 6758.113, dw = -0.08827, nw = 1651 zThAr_blue.0012.ec.fits: ap = 32, w1 = 6821.587, w2 = 6677.67, dw = -0.08722, nw = 1651 zThAr_blue.0012.ec.fits: ap = 33, w1 = 6741.341, w2 = 6599.12, dw = -0.08619, nw = 1651 zThAr_blue.0012.ec.fits: ap = 34, w1 = 6662.963, w2 = 6522.396, dw = -0.08519, nw = 1651 zThAr_blue.0012.ec.fits: ap = 35, w1 = 6586.385, w2 = 6447.437, dw = -0.08421, nw = 1651 zThAr_blue.0012.ec.fits: ap = 36, w1 = 6511.549, w2 = 6374.181, dw = -0.08325, nw = 1651 zThAr_blue.0012.ec.fits: ap = 37, w1 = 6438.394, w2 = 6302.571, dw = -0.08232, nw = 1651 zThAr_blue.0012.ec.fits: ap = 38, w1 = 6366.865, w2 = 6232.553, dw = -0.0814, nw = 1651 zThAr_blue.0012.ec.fits: ap = 39, w1 = 6296.908, w2 = 6164.074, dw = -0.08051, nw = 1651 zThAr_blue.0012.ec.fits: ap = 40, w1 = 6228.471, w2 = 6097.083, dw = -0.07963, nw = 1651 zThAr_blue.0012.ec.fits: ap = 41, w1 = 6161.507, w2 = 6031.533, dw = -0.07877, nw = 1651 zThAr_blue.0012.ec.fits: ap = 42, w1 = 6095.967, w2 = 5967.378, dw = -0.07793, nw = 1651 zThAr_blue.0012.ec.fits: ap = 43, w1 = 6031.807, w2 = 5904.574, dw = -0.07711, nw = 1651 zThAr_blue.0012.ec.fits: ap = 44, w1 = 5968.984, w2 = 5843.078, dw = -0.07631, nw = 1651 zThAr_blue.0012.ec.fits: ap = 45, w1 = 5907.457, w2 = 5782.85, dw = -0.07552, nw = 1651 zThAr_blue.0012.ec.fits: ap = 46, w1 = 5847.185, w2 = 5723.851, dw = -0.07475, nw = 1651 zThAr_blue.0012.ec.fits: ap = 47, w1 = 5788.13, w2 = 5666.044, dw = -0.07399, nw = 1651 zThAr_blue.0012.ec.fits: ap = 48, w1 = 5730.257, w2 = 5609.394, dw = -0.07325, nw = 1651 zThAr_blue.0012.ec.fits: ap = 49, w1 = 5673.53, w2 = 5553.865, dw = -0.07252, nw = 1651 zThAr_blue.0012.ec.fits: ap = 50, w1 = 5617.915, w2 = 5499.425, dw = -0.07181, nw = 1651 zThAr_blue.0012.ec.fits: ap = 51, w1 = 5563.38, w2 = 5446.043, dw = -0.07111, nw = 1651 zThAr_blue.0012.ec.fits: ap = 52, w1 = 5509.894, w2 = 5393.687, dw = -0.07043, nw = 1651 zThAr_blue.0012.ec.fits: ap = 53, w1 = 5457.427, w2 = 5342.328, dw = -0.06976, nw = 1651 zThAr_blue.0012.ec.fits: ap = 54, w1 = 5405.95, w2 = 5291.939, dw = -0.0691, nw = 1651 zThAr_blue.0012.ec.fits: ap = 55, w1 = 5355.435, w2 = 5242.491, dw = -0.06845, nw = 1651 zThAr_blue.0012.ec.fits: ap = 56, w1 = 5305.855, w2 = 5193.959, dw = -0.06782, nw = 1651 zThAr_blue.0012.ec.fits: ap = 57, w1 = 5257.186, w2 = 5146.318, dw = -0.06719, nw = 1651 zThAr_blue.0012.ec.fits: ap = 58, w1 = 5209.401, w2 = 5099.543, dw = -0.06658, nw = 1651 zThAr_blue.0012.ec.fits: ap = 59, w1 = 5162.477, w2 = 5053.611, dw = -0.06598, nw = 1651 zThAr_blue.0012.ec.fits: ap = 60, w1 = 5116.392, w2 = 5008.499, dw = -0.06539, nw = 1651 zThAr_blue.0012.ec.fits: ap = 61, w1 = 5071.122, w2 = 4964.186, dw = -0.06481, nw = 1651 zThAr_blue.0012.ec.fits: ap = 62, w1 = 5026.646, w2 = 4920.65, dw = -0.06424, nw = 1651 zThAr_blue.0012.ec.fits: ap = 63, w1 = 4982.944, w2 = 4877.871, dw = -0.06368, nw = 1651 zThAr_blue.0012.ec.fits: ap = 64, w1 = 4939.995, w2 = 4835.83, dw = -0.06313, nw = 1651 zThAr_blue.0012.ec.fits: ap = 65, w1 = 4897.781, w2 = 4794.508, dw = -0.06259, nw = 1651 zThAr_blue.0012.ec.fits: ap = 66, w1 = 4856.282, w2 = 4753.886, dw = -0.06206, nw = 1651 zThAr_blue.0012.ec.fits: ap = 67, w1 = 4815.481, w2 = 4713.947, dw = -0.06154, nw = 1651 zThAr_blue.0012.ec.fits: ap = 68, w1 = 4775.36, w2 = 4674.674, dw = -0.06102, nw = 1651 zThAr_blue.0012.ec.fits: ap = 69, w1 = 4735.902, w2 = 4636.05, dw = -0.06052, nw = 1651 zThAr_blue.0012.ec.fits: ap = 70, w1 = 4697.091, w2 = 4598.06, dw = -0.06002, nw = 1651 zThAr_blue.0012.ec.fits: ap = 71, w1 = 4658.911, w2 = 4560.687, dw = -0.05953, nw = 1651 zThAr_blue.0012.ec.fits: ap = 72, w1 = 4621.347, w2 = 4523.917, dw = -0.05905, nw = 1651 zThAr_blue.0012.ec.fits: ap = 73, w1 = 4584.384, w2 = 4487.735, dw = -0.05858, nw = 1651 zThAr_blue.0012.ec.fits: ap = 74, w1 = 4548.008, w2 = 4452.128, dw = -0.05811, nw = 1651 zThAr_blue.0012.ec.fits: ap = 75, w1 = 4512.205, w2 = 4417.081, dw = -0.05765, nw = 1651 zThAr_blue.0012.ec.fits: ap = 76, w1 = 4476.961, w2 = 4382.583, dw = -0.0572, nw = 1651 zThAr_blue.0012.ec.fits: ap = 77, w1 = 4442.264, w2 = 4348.619, dw = -0.05675, nw = 1651 zThAr_blue.0012.ec.fits: ap = 78, w1 = 4408.1, w2 = 4315.178, dw = -0.05632, nw = 1651 zThAr_blue.0012.ec.fits: ap = 79, w1 = 4374.459, w2 = 4282.247, dw = -0.05589, nw = 1651 zThAr_blue.0012.ec.fits: ap = 80, w1 = 4341.327, w2 = 4249.815, dw = -0.05546, nw = 1651 zThAr_blue.0012.ec.fits: ap = 81, w1 = 4308.693, w2 = 4217.872, dw = -0.05504, nw = 1651 zThAr_blue.0012.ec.fits: ap = 82, w1 = 4276.546, w2 = 4186.405, dw = -0.05463, nw = 1651 zThAr_blue.0012.ec.fits: ap = 83, w1 = 4244.876, w2 = 4155.404, dw = -0.05423, nw = 1651 zThAr_blue.0012.ec.fits: ap = 84, w1 = 4213.672, w2 = 4124.859, dw = -0.05383, nw = 1651 zThAr_blue.0012.ec.fits: ap = 85, w1 = 4182.923, w2 = 4094.761, dw = -0.05343, nw = 1651 zThAr_blue.0012.ec.fits: ap = 86, w1 = 4152.62, w2 = 4065.098, dw = -0.05304, nw = 1651 zThAr_blue.0012.ec.fits: ap = 87, w1 = 4122.753, w2 = 4035.863, dw = -0.05266, nw = 1651 zThAr_blue.0012.ec.fits: ap = 88, w1 = 4093.312, w2 = 4007.045, dw = -0.05228, nw = 1651 zThAr_blue.0012.ec.fits: ap = 89, w1 = 4064.29, w2 = 3978.636, dw = -0.05191, nw = 1651 zThAr_blue.0012.ec.fits: ap = 90, w1 = 4035.676, w2 = 3950.627, dw = -0.05154, nw = 1651 zThAr_blue.0012.ec.fits: ap = 91, w1 = 4007.462, w2 = 3923.01, dw = -0.05118, nw = 1651 zThAr_blue.0012.ec.fits: ap = 92, w1 = 3979.641, w2 = 3895.777, dw = -0.05083, nw = 1651 zThAr_blue.0012.ec.fits: ap = 93, w1 = 3952.203, w2 = 3868.919, dw = -0.05047, nw = 1651 zThAr_blue.0012.ec.fits: ap = 94, w1 = 3925.141, w2 = 3842.43, dw = -0.05013, nw = 1651 zThAr_blue.0012.ec.fits: ap = 95, w1 = 3898.447, w2 = 3816.301, dw = -0.04979, nw = 1651 zThAr_blue.0012.ec.fits: ap = 96, w1 = 3872.114, w2 = 3790.525, dw = -0.04945, nw = 1651 zThAr_blue.0012.ec.fits: ap = 97, w1 = 3846.135, w2 = 3765.095, dw = -0.04912, nw = 1651 zThAr_blue.0012.ec.fits: ap = 98, w1 = 3820.502, w2 = 3740.004, dw = -0.04879, nw = 1651 zThAr_blue.0012.ec.fits: ap = 99, w1 = 3795.208, w2 = 3715.246, dw = -0.04846, nw = 1651 zThAr_blue.0012.ec.fits: ap = 100, w1 = 3770.248, w2 = 3690.813, dw = -0.04814, nw = 1651 zThAr_blue.0012.ec.fits: ap = 101, w1 = 3745.614, w2 = 3666.7, dw = -0.04783, nw = 1651 zThAr_blue.0012.ec.fits: ap = 102, w1 = 3721.299, w2 = 3642.9, dw = -0.04751, nw = 1651 zThAr_blue.0012.ec.fits: ap = 103, w1 = 3697.299, w2 = 3619.407, dw = -0.04721, nw = 1651 zThAr_blue.0012.ec.fits: ap = 104, w1 = 3673.606, w2 = 3596.216, dw = -0.0469, nw = 1651 zThAr_blue.0012.ec.fits: ap = 105, w1 = 3650.215, w2 = 3573.32, dw = -0.0466, nw = 1651 zThAr_blue.0012.ec.fits: ap = 106, w1 = 3627.121, w2 = 3550.714, dw = -0.04631, nw = 1651 zThAr_blue.0012.ec.fits: ap = 107, w1 = 3604.317, w2 = 3528.392, dw = -0.04601, nw = 1651 zThAr_blue.0012.ec.fits: ap = 108, w1 = 3581.798, w2 = 3506.35, dw = -0.04573, nw = 1651 zThAr_blue.0012.ec.fits: ap = 109, w1 = 3559.558, w2 = 3484.581, dw = -0.04544, nw = 1651 zThAr_blue.0012.ec.fits: ap = 110, w1 = 3537.594, w2 = 3463.081, dw = -0.04516, nw = 1651 zThAr_blue.0012.ec.fits: ap = 111, w1 = 3515.899, w2 = 3441.845, dw = -0.04488, nw = 1651 zThAr_blue.0012.ec.fits: ap = 112, w1 = 3494.468, w2 = 3420.868, dw = -0.04461, nw = 1651 zThAr_blue.0012.ec.fits: ap = 113, w1 = 3473.297, w2 = 3400.145, dw = -0.04433, nw = 1651 zThAr_blue.0012.ec.fits: ap = 114, w1 = 3452.382, w2 = 3379.672, dw = -0.04407, nw = 1651 zThAr_blue.0012.ec.fits: ap = 115, w1 = 3431.717, w2 = 3359.445, dw = -0.0438, nw = 1651 Continuum fitting the spectra... Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Combining spectra... Dec 30 20:52: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight A0V.0021.ec.fits[ 1] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 2] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 3] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 4] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 5] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 6] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 7] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 8] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 9] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 10] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 11] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 12] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 13] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 14] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 15] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 16] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 17] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 18] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 19] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 20] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 21] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 22] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 23] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 24] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 25] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 26] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 27] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 28] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 29] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 30] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 31] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 32] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 33] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 34] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 35] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 36] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 37] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 38] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 39] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 40] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 41] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 42] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 43] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 44] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 45] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 46] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 47] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 48] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 49] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 50] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 51] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 52] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 53] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 54] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 55] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 56] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 57] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 58] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 59] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 60] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 61] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 62] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 63] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 64] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 65] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 66] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 67] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 68] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 69] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 70] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 71] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 72] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 73] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 74] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 75] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 76] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 77] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 78] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 79] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 80] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 81] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 82] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 83] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 84] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 85] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 86] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 87] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 88] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 89] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 90] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 91] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 92] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 93] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 94] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 95] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 96] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 97] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 98] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[ 99] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[100] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[101] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[102] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[103] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[104] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[105] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[106] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[107] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[108] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[109] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[110] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[111] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[112] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[113] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[114] 60.0 1.000 0. 0.009 A0V.0021.ec.fits[115] 60.0 1.000 0. 0.009 Output image = sumA0V.0021.ec.fits, ncombine = 115, exptime = 6900.019 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 20:53: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight A0V.0026.ec.fits[ 1] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 2] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 3] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 4] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 5] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 6] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 7] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 8] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 9] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 10] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 11] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 12] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 13] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 14] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 15] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 16] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 17] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 18] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 19] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 20] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 21] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 22] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 23] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 24] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 25] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 26] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 27] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 28] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 29] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 30] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 31] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 32] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 33] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 34] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 35] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 36] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 37] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 38] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 39] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 40] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 41] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 42] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 43] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 44] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 45] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 46] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 47] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 48] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 49] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 50] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 51] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 52] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 53] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 54] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 55] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 56] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 57] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 58] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 59] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 60] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 61] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 62] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 63] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 64] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 65] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 66] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 67] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 68] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 69] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 70] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 71] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 72] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 73] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 74] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 75] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 76] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 77] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 78] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 79] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 80] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 81] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 82] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 83] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 84] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 85] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 86] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 87] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 88] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 89] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 90] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 91] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 92] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 93] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 94] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 95] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 96] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 97] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 98] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[ 99] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[100] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[101] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[102] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[103] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[104] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[105] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[106] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[107] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[108] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[109] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[110] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[111] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[112] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[113] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[114] 60.0 1.000 0. 0.009 A0V.0026.ec.fits[115] 60.0 1.000 0. 0.009 Output image = sumA0V.0026.ec.fits, ncombine = 115, exptime = 6900.002 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 20:54: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight A0V.0031.ec.fits[ 1] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 2] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 3] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 4] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 5] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 6] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 7] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 8] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 9] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 10] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 11] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 12] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 13] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 14] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 15] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 16] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 17] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 18] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 19] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 20] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 21] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 22] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 23] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 24] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 25] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 26] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 27] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 28] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 29] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 30] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 31] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 32] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 33] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 34] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 35] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 36] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 37] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 38] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 39] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 40] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 41] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 42] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 43] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 44] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 45] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 46] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 47] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 48] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 49] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 50] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 51] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 52] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 53] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 54] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 55] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 56] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 57] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 58] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 59] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 60] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 61] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 62] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 63] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 64] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 65] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 66] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 67] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 68] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 69] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 70] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 71] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 72] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 73] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 74] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 75] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 76] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 77] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 78] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 79] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 80] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 81] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 82] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 83] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 84] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 85] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 86] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 87] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 88] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 89] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 90] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 91] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 92] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 93] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 94] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 95] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 96] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 97] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 98] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[ 99] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[100] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[101] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[102] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[103] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[104] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[105] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[106] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[107] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[108] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[109] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[110] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[111] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[112] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[113] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[114] 120.0 1.000 0. 0.009 A0V.0031.ec.fits[115] 120.0 1.000 0. 0.009 Output image = sumA0V.0031.ec.fits, ncombine = 115, exptime = 13800.03 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 20:55: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight A0V.0040.ec.fits[ 1] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 2] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 3] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 4] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 5] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 6] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 7] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 8] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 9] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 10] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 11] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 12] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 13] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 14] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 15] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 16] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 17] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 18] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 19] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 20] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 21] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 22] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 23] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 24] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 25] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 26] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 27] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 28] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 29] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 30] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 31] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 32] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 33] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 34] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 35] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 36] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 37] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 38] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 39] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 40] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 41] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 42] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 43] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 44] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 45] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 46] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 47] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 48] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 49] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 50] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 51] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 52] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 53] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 54] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 55] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 56] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 57] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 58] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 59] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 60] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 61] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 62] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 63] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 64] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 65] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 66] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 67] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 68] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 69] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 70] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 71] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 72] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 73] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 74] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 75] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 76] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 77] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 78] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 79] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 80] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 81] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 82] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 83] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 84] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 85] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 86] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 87] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 88] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 89] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 90] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 91] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 92] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 93] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 94] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 95] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 96] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 97] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 98] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[ 99] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[100] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[101] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[102] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[103] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[104] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[105] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[106] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[107] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[108] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[109] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[110] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[111] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[112] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[113] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[114] 120.0 1.000 0. 0.009 A0V.0040.ec.fits[115] 120.0 1.000 0. 0.009 Output image = sumA0V.0040.ec.fits, ncombine = 115, exptime = 13800.04 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 20:56: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight Venu_day.0032.ec.fits[ 1] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 2] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 3] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 4] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 5] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 6] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 7] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 8] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 9] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 10] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 11] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 12] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 13] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 14] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 15] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 16] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 17] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 18] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 19] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 20] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 21] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 22] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 23] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 24] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 25] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 26] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 27] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 28] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 29] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 30] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 31] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 32] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 33] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 34] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 35] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 36] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 37] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 38] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 39] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 40] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 41] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 42] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 43] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 44] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 45] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 46] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 47] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 48] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 49] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 50] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 51] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 52] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 53] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 54] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 55] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 56] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 57] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 58] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 59] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 60] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 61] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 62] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 63] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 64] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 65] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 66] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 67] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 68] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 69] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 70] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 71] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 72] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 73] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 74] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 75] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 76] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 77] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 78] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 79] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 80] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 81] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 82] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 83] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 84] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 85] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 86] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 87] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 88] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 89] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 90] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 91] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 92] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 93] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 94] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 95] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 96] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 97] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 98] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[ 99] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[100] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[101] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[102] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[103] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[104] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[105] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[106] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[107] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[108] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[109] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[110] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[111] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[112] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[113] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[114] 1.6 1.000 0. 0.009 Venu_day.0032.ec.fits[115] 1.6 1.000 0. 0.009 Output image = sumVenu_day.0032.ec.fits, ncombine = 115, exptime = 186.0478 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 20:57: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight Venu_day.0033.ec.fits[ 1] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 2] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 3] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 4] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 5] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 6] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 7] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 8] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 9] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 10] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 11] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 12] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 13] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 14] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 15] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 16] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 17] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 18] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 19] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 20] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 21] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 22] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 23] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 24] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 25] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 26] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 27] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 28] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 29] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 30] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 31] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 32] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 33] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 34] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 35] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 36] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 37] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 38] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 39] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 40] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 41] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 42] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 43] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 44] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 45] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 46] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 47] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 48] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 49] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 50] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 51] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 52] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 53] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 54] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 55] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 56] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 57] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 58] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 59] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 60] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 61] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 62] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 63] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 64] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 65] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 66] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 67] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 68] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 69] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 70] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 71] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 72] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 73] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 74] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 75] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 76] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 77] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 78] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 79] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 80] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 81] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 82] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 83] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 84] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 85] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 86] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 87] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 88] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 89] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 90] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 91] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 92] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 93] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 94] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 95] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 96] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 97] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 98] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[ 99] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[100] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[101] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[102] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[103] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[104] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[105] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[106] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[107] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[108] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[109] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[110] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[111] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[112] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[113] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[114] 0.5 1.000 0. 0.009 Venu_day.0033.ec.fits[115] 0.5 1.000 0. 0.009 Output image = sumVenu_day.0033.ec.fits, ncombine = 115, exptime = 57.47628 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 20:58: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight Venu_day.0034.ec.fits[ 1] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 2] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 3] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 4] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 5] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 6] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 7] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 8] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 9] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 10] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 11] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 12] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 13] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 14] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 15] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 16] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 17] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 18] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 19] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 20] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 21] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 22] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 23] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 24] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 25] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 26] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 27] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 28] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 29] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 30] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 31] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 32] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 33] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 34] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 35] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 36] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 37] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 38] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 39] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 40] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 41] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 42] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 43] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 44] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 45] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 46] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 47] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 48] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 49] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 50] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 51] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 52] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 53] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 54] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 55] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 56] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 57] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 58] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 59] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 60] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 61] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 62] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 63] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 64] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 65] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 66] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 67] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 68] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 69] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 70] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 71] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 72] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 73] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 74] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 75] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 76] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 77] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 78] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 79] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 80] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 81] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 82] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 83] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 84] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 85] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 86] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 87] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 88] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 89] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 90] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 91] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 92] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 93] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 94] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 95] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 96] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 97] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 98] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[ 99] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[100] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[101] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[102] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[103] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[104] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[105] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[106] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[107] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[108] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[109] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[110] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[111] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[112] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[113] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[114] 0.5 1.000 0. 0.009 Venu_day.0034.ec.fits[115] 0.5 1.000 0. 0.009 Output image = sumVenu_day.0034.ec.fits, ncombine = 115, exptime = 57.58061 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 20:59: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight Venu_day.0036.ec.fits[ 1] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 2] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 3] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 4] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 5] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 6] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 7] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 8] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 9] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 10] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 11] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 12] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 13] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 14] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 15] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 16] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 17] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 18] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 19] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 20] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 21] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 22] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 23] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 24] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 25] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 26] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 27] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 28] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 29] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 30] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 31] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 32] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 33] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 34] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 35] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 36] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 37] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 38] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 39] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 40] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 41] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 42] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 43] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 44] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 45] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 46] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 47] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 48] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 49] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 50] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 51] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 52] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 53] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 54] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 55] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 56] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 57] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 58] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 59] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 60] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 61] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 62] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 63] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 64] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 65] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 66] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 67] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 68] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 69] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 70] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 71] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 72] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 73] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 74] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 75] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 76] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 77] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 78] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 79] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 80] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 81] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 82] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 83] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 84] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 85] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 86] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 87] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 88] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 89] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 90] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 91] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 92] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 93] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 94] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 95] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 96] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 97] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 98] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[ 99] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[100] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[101] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[102] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[103] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[104] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[105] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[106] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[107] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[108] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[109] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[110] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[111] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[112] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[113] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[114] 1.6 1.000 0. 0.009 Venu_day.0036.ec.fits[115] 1.6 1.000 0. 0.009 Output image = sumVenu_day.0036.ec.fits, ncombine = 115, exptime = 186.154 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:00: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight Venu_day.0037.ec.fits[ 1] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 2] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 3] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 4] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 5] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 6] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 7] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 8] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 9] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 10] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 11] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 12] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 13] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 14] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 15] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 16] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 17] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 18] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 19] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 20] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 21] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 22] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 23] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 24] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 25] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 26] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 27] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 28] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 29] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 30] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 31] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 32] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 33] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 34] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 35] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 36] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 37] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 38] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 39] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 40] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 41] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 42] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 43] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 44] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 45] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 46] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 47] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 48] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 49] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 50] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 51] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 52] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 53] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 54] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 55] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 56] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 57] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 58] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 59] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 60] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 61] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 62] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 63] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 64] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 65] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 66] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 67] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 68] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 69] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 70] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 71] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 72] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 73] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 74] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 75] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 76] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 77] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 78] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 79] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 80] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 81] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 82] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 83] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 84] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 85] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 86] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 87] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 88] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 89] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 90] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 91] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 92] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 93] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 94] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 95] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 96] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 97] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 98] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[ 99] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[100] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[101] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[102] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[103] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[104] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[105] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[106] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[107] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[108] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[109] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[110] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[111] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[112] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[113] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[114] 0.5 1.000 0. 0.009 Venu_day.0037.ec.fits[115] 0.5 1.000 0. 0.009 Output image = sumVenu_day.0037.ec.fits, ncombine = 115, exptime = 57.46375 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:01: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight Venu_night.0035.ec.fits[ 1] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 2] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 3] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 4] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 5] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 6] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 7] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 8] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 9] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 10] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 11] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 12] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 13] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 14] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 15] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 16] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 17] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 18] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 19] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 20] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 21] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 22] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 23] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 24] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 25] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 26] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 27] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 28] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 29] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 30] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 31] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 32] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 33] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 34] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 35] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 36] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 37] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 38] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 39] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 40] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 41] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 42] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 43] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 44] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 45] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 46] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 47] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 48] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 49] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 50] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 51] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 52] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 53] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 54] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 55] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 56] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 57] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 58] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 59] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 60] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 61] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 62] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 63] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 64] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 65] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 66] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 67] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 68] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 69] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 70] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 71] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 72] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 73] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 74] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 75] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 76] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 77] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 78] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 79] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 80] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 81] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 82] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 83] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 84] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 85] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 86] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 87] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 88] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 89] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 90] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 91] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 92] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 93] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 94] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 95] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 96] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 97] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 98] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[ 99] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[100] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[101] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[102] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[103] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[104] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[105] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[106] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[107] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[108] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[109] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[110] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[111] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[112] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[113] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[114] 600.0 1.000 0. 0.009 Venu_night.0035.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumVenu_night.0035.ec.fits, ncombine = 115, exptime = 69000.14 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:02: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight Venus_day.0022.ec.fits[ 1] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 2] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 3] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 4] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 5] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 6] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 7] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 8] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 9] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 10] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 11] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 12] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 13] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 14] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 15] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 16] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 17] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 18] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 19] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 20] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 21] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 22] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 23] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 24] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 25] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 26] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 27] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 28] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 29] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 30] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 31] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 32] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 33] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 34] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 35] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 36] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 37] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 38] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 39] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 40] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 41] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 42] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 43] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 44] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 45] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 46] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 47] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 48] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 49] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 50] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 51] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 52] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 53] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 54] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 55] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 56] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 57] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 58] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 59] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 60] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 61] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 62] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 63] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 64] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 65] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 66] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 67] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 68] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 69] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 70] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 71] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 72] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 73] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 74] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 75] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 76] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 77] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 78] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 79] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 80] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 81] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 82] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 83] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 84] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 85] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 86] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 87] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 88] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 89] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 90] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 91] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 92] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 93] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 94] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 95] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 96] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 97] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 98] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[ 99] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[100] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[101] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[102] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[103] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[104] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[105] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[106] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[107] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[108] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[109] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[110] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[111] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[112] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[113] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[114] 0.5 1.000 0. 0.009 Venus_day.0022.ec.fits[115] 0.5 1.000 0. 0.009 Output image = sumVenus_day.0022.ec.fits, ncombine = 115, exptime = 57.47077 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:02: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight Venus_day.0024.ec.fits[ 1] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 2] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 3] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 4] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 5] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 6] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 7] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 8] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 9] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 10] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 11] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 12] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 13] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 14] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 15] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 16] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 17] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 18] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 19] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 20] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 21] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 22] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 23] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 24] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 25] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 26] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 27] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 28] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 29] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 30] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 31] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 32] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 33] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 34] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 35] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 36] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 37] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 38] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 39] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 40] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 41] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 42] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 43] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 44] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 45] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 46] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 47] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 48] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 49] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 50] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 51] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 52] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 53] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 54] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 55] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 56] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 57] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 58] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 59] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 60] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 61] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 62] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 63] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 64] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 65] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 66] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 67] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 68] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 69] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 70] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 71] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 72] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 73] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 74] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 75] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 76] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 77] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 78] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 79] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 80] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 81] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 82] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 83] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 84] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 85] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 86] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 87] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 88] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 89] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 90] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 91] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 92] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 93] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 94] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 95] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 96] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 97] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 98] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[ 99] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[100] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[101] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[102] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[103] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[104] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[105] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[106] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[107] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[108] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[109] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[110] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[111] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[112] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[113] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[114] 0.5 1.000 0. 0.009 Venus_day.0024.ec.fits[115] 0.5 1.000 0. 0.009 Output image = sumVenus_day.0024.ec.fits, ncombine = 115, exptime = 57.46885 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:03: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight Venus_day.0025.ec.fits[ 1] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 2] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 3] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 4] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 5] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 6] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 7] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 8] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 9] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 10] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 11] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 12] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 13] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 14] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 15] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 16] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 17] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 18] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 19] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 20] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 21] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 22] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 23] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 24] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 25] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 26] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 27] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 28] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 29] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 30] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 31] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 32] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 33] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 34] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 35] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 36] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 37] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 38] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 39] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 40] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 41] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 42] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 43] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 44] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 45] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 46] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 47] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 48] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 49] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 50] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 51] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 52] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 53] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 54] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 55] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 56] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 57] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 58] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 59] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 60] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 61] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 62] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 63] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 64] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 65] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 66] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 67] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 68] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 69] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 70] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 71] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 72] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 73] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 74] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 75] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 76] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 77] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 78] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 79] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 80] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 81] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 82] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 83] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 84] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 85] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 86] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 87] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 88] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 89] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 90] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 91] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 92] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 93] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 94] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 95] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 96] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 97] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 98] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[ 99] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[100] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[101] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[102] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[103] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[104] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[105] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[106] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[107] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[108] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[109] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[110] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[111] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[112] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[113] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[114] 0.5 1.000 0. 0.009 Venus_day.0025.ec.fits[115] 0.5 1.000 0. 0.009 Output image = sumVenus_day.0025.ec.fits, ncombine = 115, exptime = 57.45986 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:04: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight Venus_day.0027.ec.fits[ 1] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 2] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 3] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 4] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 5] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 6] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 7] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 8] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 9] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 10] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 11] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 12] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 13] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 14] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 15] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 16] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 17] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 18] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 19] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 20] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 21] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 22] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 23] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 24] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 25] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 26] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 27] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 28] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 29] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 30] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 31] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 32] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 33] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 34] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 35] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 36] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 37] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 38] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 39] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 40] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 41] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 42] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 43] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 44] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 45] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 46] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 47] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 48] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 49] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 50] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 51] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 52] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 53] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 54] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 55] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 56] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 57] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 58] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 59] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 60] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 61] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 62] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 63] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 64] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 65] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 66] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 67] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 68] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 69] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 70] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 71] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 72] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 73] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 74] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 75] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 76] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 77] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 78] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 79] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 80] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 81] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 82] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 83] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 84] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 85] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 86] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 87] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 88] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 89] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 90] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 91] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 92] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 93] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 94] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 95] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 96] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 97] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 98] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[ 99] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[100] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[101] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[102] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[103] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[104] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[105] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[106] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[107] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[108] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[109] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[110] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[111] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[112] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[113] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[114] 0.5 1.000 0. 0.009 Venus_day.0027.ec.fits[115] 0.5 1.000 0. 0.009 Output image = sumVenus_day.0027.ec.fits, ncombine = 115, exptime = 57.57957 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:05: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight Venus_day.0029.ec.fits[ 1] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 2] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 3] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 4] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 5] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 6] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 7] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 8] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 9] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 10] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 11] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 12] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 13] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 14] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 15] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 16] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 17] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 18] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 19] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 20] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 21] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 22] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 23] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 24] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 25] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 26] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 27] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 28] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 29] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 30] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 31] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 32] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 33] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 34] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 35] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 36] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 37] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 38] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 39] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 40] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 41] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 42] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 43] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 44] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 45] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 46] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 47] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 48] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 49] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 50] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 51] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 52] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 53] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 54] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 55] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 56] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 57] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 58] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 59] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 60] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 61] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 62] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 63] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 64] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 65] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 66] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 67] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 68] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 69] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 70] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 71] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 72] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 73] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 74] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 75] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 76] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 77] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 78] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 79] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 80] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 81] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 82] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 83] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 84] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 85] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 86] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 87] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 88] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 89] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 90] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 91] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 92] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 93] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 94] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 95] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 96] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 97] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 98] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[ 99] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[100] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[101] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[102] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[103] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[104] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[105] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[106] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[107] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[108] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[109] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[110] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[111] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[112] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[113] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[114] 0.5 1.000 0. 0.009 Venus_day.0029.ec.fits[115] 0.5 1.000 0. 0.009 Output image = sumVenus_day.0029.ec.fits, ncombine = 115, exptime = 57.46241 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:06: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight Venus_day.0030.ec.fits[ 1] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 2] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 3] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 4] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 5] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 6] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 7] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 8] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 9] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 10] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 11] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 12] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 13] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 14] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 15] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 16] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 17] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 18] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 19] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 20] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 21] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 22] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 23] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 24] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 25] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 26] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 27] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 28] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 29] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 30] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 31] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 32] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 33] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 34] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 35] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 36] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 37] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 38] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 39] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 40] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 41] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 42] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 43] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 44] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 45] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 46] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 47] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 48] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 49] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 50] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 51] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 52] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 53] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 54] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 55] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 56] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 57] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 58] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 59] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 60] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 61] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 62] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 63] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 64] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 65] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 66] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 67] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 68] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 69] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 70] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 71] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 72] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 73] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 74] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 75] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 76] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 77] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 78] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 79] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 80] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 81] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 82] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 83] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 84] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 85] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 86] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 87] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 88] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 89] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 90] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 91] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 92] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 93] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 94] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 95] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 96] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 97] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 98] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[ 99] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[100] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[101] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[102] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[103] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[104] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[105] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[106] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[107] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[108] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[109] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[110] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[111] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[112] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[113] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[114] 0.5 1.000 0. 0.009 Venus_day.0030.ec.fits[115] 0.5 1.000 0. 0.009 Output image = sumVenus_day.0030.ec.fits, ncombine = 115, exptime = 57.58867 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:07: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight Venus_day.0038.ec.fits[ 1] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 2] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 3] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 4] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 5] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 6] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 7] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 8] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 9] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 10] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 11] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 12] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 13] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 14] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 15] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 16] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 17] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 18] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 19] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 20] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 21] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 22] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 23] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 24] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 25] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 26] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 27] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 28] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 29] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 30] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 31] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 32] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 33] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 34] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 35] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 36] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 37] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 38] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 39] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 40] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 41] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 42] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 43] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 44] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 45] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 46] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 47] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 48] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 49] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 50] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 51] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 52] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 53] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 54] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 55] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 56] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 57] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 58] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 59] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 60] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 61] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 62] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 63] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 64] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 65] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 66] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 67] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 68] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 69] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 70] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 71] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 72] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 73] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 74] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 75] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 76] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 77] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 78] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 79] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 80] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 81] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 82] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 83] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 84] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 85] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 86] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 87] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 88] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 89] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 90] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 91] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 92] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 93] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 94] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 95] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 96] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 97] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 98] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[ 99] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[100] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[101] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[102] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[103] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[104] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[105] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[106] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[107] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[108] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[109] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[110] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[111] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[112] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[113] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[114] 0.5 1.000 0. 0.009 Venus_day.0038.ec.fits[115] 0.5 1.000 0. 0.009 Output image = sumVenus_day.0038.ec.fits, ncombine = 115, exptime = 57.57208 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:08: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight Venus_day.0042.ec.fits[ 1] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 2] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 3] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 4] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 5] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 6] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 7] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 8] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 9] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 10] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 11] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 12] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 13] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 14] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 15] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 16] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 17] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 18] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 19] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 20] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 21] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 22] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 23] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 24] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 25] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 26] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 27] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 28] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 29] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 30] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 31] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 32] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 33] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 34] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 35] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 36] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 37] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 38] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 39] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 40] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 41] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 42] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 43] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 44] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 45] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 46] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 47] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 48] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 49] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 50] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 51] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 52] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 53] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 54] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 55] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 56] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 57] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 58] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 59] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 60] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 61] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 62] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 63] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 64] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 65] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 66] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 67] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 68] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 69] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 70] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 71] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 72] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 73] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 74] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 75] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 76] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 77] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 78] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 79] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 80] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 81] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 82] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 83] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 84] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 85] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 86] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 87] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 88] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 89] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 90] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 91] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 92] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 93] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 94] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 95] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 96] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 97] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 98] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[ 99] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[100] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[101] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[102] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[103] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[104] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[105] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[106] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[107] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[108] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[109] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[110] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[111] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[112] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[113] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[114] 0.5 1.000 0. 0.009 Venus_day.0042.ec.fits[115] 0.5 1.000 0. 0.009 Output image = sumVenus_day.0042.ec.fits, ncombine = 115, exptime = 57.58681 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:09: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight Venus_night.0023.ec.fits[ 1] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 2] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 3] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 4] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 5] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 6] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 7] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 8] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 9] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 10] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 11] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 12] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 13] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 14] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 15] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 16] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 17] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 18] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 19] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 20] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 21] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 22] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 23] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 24] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 25] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 26] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 27] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 28] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 29] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 30] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 31] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 32] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 33] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 34] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 35] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 36] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 37] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 38] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 39] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 40] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 41] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 42] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 43] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 44] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 45] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 46] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 47] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 48] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 49] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 50] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 51] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 52] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 53] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 54] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 55] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 56] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 57] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 58] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 59] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 60] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 61] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 62] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 63] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 64] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 65] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 66] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 67] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 68] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 69] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 70] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 71] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 72] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 73] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 74] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 75] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 76] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 77] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 78] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 79] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 80] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 81] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 82] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 83] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 84] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 85] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 86] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 87] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 88] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 89] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 90] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 91] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 92] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 93] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 94] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 95] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 96] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 97] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 98] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[ 99] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[100] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[101] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[102] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[103] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[104] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[105] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[106] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[107] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[108] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[109] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[110] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[111] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[112] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[113] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[114] 600.0 1.000 0. 0.009 Venus_night.0023.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumVenus_night.0023.ec.fits, ncombine = 115, exptime = 69000.14 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:10: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight Venus_night.0028.ec.fits[ 1] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 2] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 3] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 4] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 5] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 6] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 7] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 8] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 9] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 10] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 11] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 12] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 13] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 14] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 15] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 16] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 17] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 18] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 19] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 20] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 21] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 22] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 23] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 24] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 25] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 26] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 27] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 28] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 29] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 30] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 31] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 32] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 33] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 34] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 35] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 36] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 37] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 38] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 39] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 40] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 41] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 42] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 43] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 44] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 45] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 46] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 47] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 48] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 49] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 50] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 51] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 52] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 53] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 54] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 55] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 56] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 57] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 58] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 59] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 60] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 61] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 62] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 63] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 64] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 65] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 66] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 67] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 68] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 69] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 70] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 71] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 72] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 73] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 74] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 75] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 76] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 77] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 78] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 79] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 80] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 81] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 82] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 83] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 84] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 85] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 86] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 87] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 88] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 89] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 90] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 91] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 92] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 93] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 94] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 95] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 96] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 97] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 98] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[ 99] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[100] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[101] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[102] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[103] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[104] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[105] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[106] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[107] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[108] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[109] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[110] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[111] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[112] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[113] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[114] 60.0 1.000 0. 0.009 Venus_night.0028.ec.fits[115] 60.0 1.000 0. 0.009 Output image = sumVenus_night.0028.ec.fits, ncombine = 115, exptime = 6900.002 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:11: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight Venus_night.0041.ec.fits[ 1] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 2] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 3] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 4] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 5] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 6] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 7] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 8] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 9] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 10] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 11] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 12] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 13] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 14] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 15] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 16] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 17] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 18] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 19] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 20] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 21] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 22] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 23] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 24] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 25] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 26] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 27] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 28] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 29] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 30] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 31] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 32] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 33] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 34] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 35] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 36] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 37] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 38] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 39] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 40] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 41] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 42] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 43] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 44] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 45] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 46] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 47] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 48] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 49] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 50] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 51] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 52] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 53] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 54] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 55] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 56] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 57] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 58] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 59] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 60] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 61] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 62] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 63] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 64] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 65] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 66] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 67] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 68] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 69] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 70] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 71] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 72] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 73] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 74] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 75] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 76] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 77] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 78] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 79] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 80] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 81] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 82] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 83] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 84] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 85] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 86] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 87] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 88] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 89] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 90] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 91] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 92] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 93] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 94] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 95] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 96] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 97] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 98] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[ 99] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[100] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[101] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[102] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[103] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[104] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[105] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[106] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[107] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[108] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[109] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[110] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[111] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[112] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[113] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[114] 600.0 1.000 0. 0.009 Venus_night.0041.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumVenus_night.0041.ec.fits, ncombine = 115, exptime = 69000.02 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:12: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontA0V.0021.ec.fits[ 1] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 2] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 3] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 4] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 5] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 6] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 7] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 8] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 9] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 10] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 11] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 12] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 13] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 14] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 15] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 16] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 17] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 18] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 19] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 20] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 21] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 22] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 23] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 24] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 25] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 26] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 27] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 28] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 29] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 30] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 31] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 32] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 33] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 34] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 35] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 36] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 37] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 38] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 39] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 40] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 41] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 42] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 43] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 44] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 45] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 46] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 47] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 48] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 49] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 50] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 51] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 52] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 53] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 54] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 55] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 56] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 57] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 58] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 59] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 60] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 61] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 62] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 63] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 64] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 65] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 66] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 67] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 68] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 69] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 70] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 71] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 72] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 73] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 74] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 75] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 76] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 77] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 78] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 79] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 80] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 81] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 82] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 83] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 84] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 85] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 86] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 87] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 88] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 89] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 90] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 91] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 92] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 93] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 94] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 95] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 96] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 97] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 98] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[ 99] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[100] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[101] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[102] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[103] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[104] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[105] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[106] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[107] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[108] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[109] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[110] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[111] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[112] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[113] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[114] 60.0 1.000 0. 0.009 fitcontA0V.0021.ec.fits[115] 60.0 1.000 0. 0.009 Output image = sumfitcontA0V.0021.ec.fits, ncombine = 115, exptime = 6900.019 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:13: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontA0V.0026.ec.fits[ 1] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 2] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 3] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 4] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 5] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 6] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 7] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 8] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 9] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 10] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 11] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 12] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 13] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 14] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 15] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 16] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 17] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 18] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 19] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 20] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 21] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 22] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 23] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 24] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 25] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 26] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 27] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 28] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 29] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 30] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 31] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 32] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 33] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 34] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 35] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 36] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 37] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 38] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 39] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 40] 60.0 1.000 0. 0.009 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fitcontA0V.0026.ec.fits[ 61] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 62] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 63] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 64] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 65] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 66] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 67] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 68] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 69] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 70] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 71] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 72] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 73] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 74] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 75] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 76] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 77] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 78] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 79] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 80] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 81] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 82] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 83] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 84] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 85] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 86] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 87] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 88] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 89] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 90] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 91] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 92] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 93] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 94] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 95] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 96] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 97] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 98] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[ 99] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[100] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[101] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[102] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[103] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[104] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[105] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[106] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[107] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[108] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[109] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[110] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[111] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[112] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[113] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[114] 60.0 1.000 0. 0.009 fitcontA0V.0026.ec.fits[115] 60.0 1.000 0. 0.009 Output image = sumfitcontA0V.0026.ec.fits, ncombine = 115, exptime = 6900.002 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:14: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontA0V.0031.ec.fits[ 1] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 2] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 3] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 4] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 5] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 6] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 7] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 8] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 9] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 10] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 11] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 12] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 13] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 14] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 15] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 16] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 17] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 18] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 19] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 20] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 21] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 22] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 23] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 24] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 25] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 26] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 27] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 28] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 29] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 30] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 31] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 32] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 33] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 34] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 35] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 36] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 37] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 38] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 39] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[ 40] 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120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[101] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[102] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[103] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[104] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[105] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[106] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[107] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[108] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[109] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[110] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[111] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[112] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[113] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[114] 120.0 1.000 0. 0.009 fitcontA0V.0031.ec.fits[115] 120.0 1.000 0. 0.009 Output image = sumfitcontA0V.0031.ec.fits, ncombine = 115, exptime = 13800.03 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:14: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontA0V.0040.ec.fits[ 1] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 2] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 3] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 4] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 5] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 6] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 7] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 8] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 9] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 10] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 11] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 12] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 13] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 14] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 15] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 16] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 17] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 18] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 19] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 20] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 21] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 22] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 23] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 24] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 25] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 26] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 27] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 28] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 29] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 30] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 31] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 32] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 33] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 34] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 35] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 36] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 37] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 38] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 39] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 40] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 41] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 42] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 43] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 44] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 45] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 46] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 47] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 48] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 49] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 50] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 51] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 52] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 53] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 54] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 55] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 56] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 57] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 58] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 59] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 60] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 61] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 62] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 63] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 64] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 65] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 66] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 67] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 68] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 69] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 70] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 71] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 72] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 73] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 74] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 75] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 76] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 77] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 78] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 79] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 80] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 81] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 82] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 83] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 84] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 85] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 86] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 87] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 88] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 89] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 90] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 91] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 92] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 93] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 94] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 95] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 96] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 97] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 98] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[ 99] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[100] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[101] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[102] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[103] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[104] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[105] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[106] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[107] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[108] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[109] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[110] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[111] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[112] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[113] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[114] 120.0 1.000 0. 0.009 fitcontA0V.0040.ec.fits[115] 120.0 1.000 0. 0.009 Output image = sumfitcontA0V.0040.ec.fits, ncombine = 115, exptime = 13800.04 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:15: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontVenu_day.0032.ec.fits[ 1] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 2] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 3] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 4] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 5] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 6] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 7] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 8] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 9] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 10] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 11] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 12] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 13] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 14] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 15] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 16] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 17] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 18] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 19] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 20] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 21] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 22] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 23] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 24] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 25] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 26] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 27] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 28] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 29] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 30] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 31] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 32] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 33] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 34] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 35] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 36] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 37] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 38] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 39] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 40] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 41] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 42] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 43] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 44] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 45] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 46] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 47] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 48] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 49] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 50] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 51] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 52] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 53] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 54] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 55] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 56] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 57] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 58] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 59] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 60] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 61] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 62] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 63] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 64] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 65] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 66] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 67] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 68] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 69] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 70] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 71] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 72] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 73] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 74] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 75] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 76] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 77] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 78] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 79] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 80] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 81] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 82] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 83] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 84] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 85] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 86] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 87] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 88] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 89] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 90] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 91] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 92] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 93] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 94] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 95] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 96] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 97] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 98] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[ 99] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[100] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[101] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[102] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[103] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[104] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[105] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[106] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[107] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[108] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[109] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[110] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[111] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[112] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[113] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[114] 1.6 1.000 0. 0.009 fitcontVenu_day.0032.ec.fits[115] 1.6 1.000 0. 0.009 Output image = sumfitcontVenu_day.0032.ec.fits, ncombine = 115, exptime = 186.0478 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:16: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontVenu_day.0033.ec.fits[ 1] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 2] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 3] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 4] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 5] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 6] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 7] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 8] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 9] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 10] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 11] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 12] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 13] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 14] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 15] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 16] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 17] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 18] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 19] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 20] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 21] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 22] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 23] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 24] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 25] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 26] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 27] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 28] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 29] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 30] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 31] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 32] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 33] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 34] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 35] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 36] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 37] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 38] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 39] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 40] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 41] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 42] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 43] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 44] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 45] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 46] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 47] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 48] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 49] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 50] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 51] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 52] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 53] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 54] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 55] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 56] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 57] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 58] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 59] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 60] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 61] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 62] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 63] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 64] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 65] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 66] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 67] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 68] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 69] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 70] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 71] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 72] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 73] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 74] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 75] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 76] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 77] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 78] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 79] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 80] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 81] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 82] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 83] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 84] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 85] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 86] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 87] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 88] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 89] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 90] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 91] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 92] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 93] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 94] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 95] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 96] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 97] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 98] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[ 99] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[100] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[101] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[102] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[103] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[104] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[105] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[106] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[107] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[108] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[109] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[110] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[111] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[112] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[113] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[114] 0.5 1.000 0. 0.009 fitcontVenu_day.0033.ec.fits[115] 0.5 1.000 0. 0.009 Output image = sumfitcontVenu_day.0033.ec.fits, ncombine = 115, exptime = 57.47628 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:17: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontVenu_day.0034.ec.fits[ 1] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 2] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 3] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 4] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 5] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 6] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 7] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 8] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 9] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 10] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 11] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 12] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 13] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 14] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 15] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 16] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 17] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 18] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 19] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 20] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 21] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 22] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 23] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 24] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 25] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 26] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 27] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 28] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 29] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 30] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 31] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 32] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 33] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 34] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 35] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 36] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 37] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 38] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 39] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 40] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 41] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 42] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 43] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 44] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 45] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 46] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 47] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 48] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 49] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 50] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 51] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 52] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 53] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 54] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 55] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 56] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 57] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 58] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 59] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 60] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 61] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 62] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 63] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 64] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 65] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 66] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 67] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 68] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 69] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 70] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 71] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 72] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 73] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 74] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 75] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 76] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 77] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 78] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 79] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 80] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 81] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 82] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 83] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 84] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 85] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 86] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 87] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 88] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 89] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 90] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 91] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 92] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 93] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 94] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 95] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 96] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 97] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 98] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[ 99] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[100] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[101] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[102] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[103] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[104] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[105] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[106] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[107] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[108] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[109] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[110] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[111] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[112] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[113] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[114] 0.5 1.000 0. 0.009 fitcontVenu_day.0034.ec.fits[115] 0.5 1.000 0. 0.009 Output image = sumfitcontVenu_day.0034.ec.fits, ncombine = 115, exptime = 57.58061 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:18: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontVenu_day.0036.ec.fits[ 1] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 2] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 3] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 4] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 5] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 6] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 7] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 8] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 9] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 10] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 11] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 12] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 13] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 14] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 15] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 16] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 17] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 18] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 19] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 20] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 21] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 22] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 23] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 24] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 25] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 26] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 27] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 28] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 29] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 30] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 31] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 32] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 33] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 34] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 35] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 36] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 37] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 38] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 39] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 40] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 41] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 42] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 43] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 44] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 45] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 46] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 47] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 48] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 49] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 50] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 51] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 52] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 53] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 54] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 55] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 56] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 57] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 58] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 59] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 60] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 61] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 62] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 63] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 64] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 65] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 66] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 67] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 68] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 69] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 70] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 71] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 72] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 73] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 74] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 75] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 76] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 77] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 78] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 79] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 80] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 81] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 82] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 83] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 84] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 85] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 86] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 87] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 88] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 89] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 90] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 91] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 92] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 93] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 94] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 95] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 96] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 97] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 98] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[ 99] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[100] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[101] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[102] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[103] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[104] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[105] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[106] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[107] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[108] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[109] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[110] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[111] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[112] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[113] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[114] 1.6 1.000 0. 0.009 fitcontVenu_day.0036.ec.fits[115] 1.6 1.000 0. 0.009 Output image = sumfitcontVenu_day.0036.ec.fits, ncombine = 115, exptime = 186.154 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:19: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontVenu_day.0037.ec.fits[ 1] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 2] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 3] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 4] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 5] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 6] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 7] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 8] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 9] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 10] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 11] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 12] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 13] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 14] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 15] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 16] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 17] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 18] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 19] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 20] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 21] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 22] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 23] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 24] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 25] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 26] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 27] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 28] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 29] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 30] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 31] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 32] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 33] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 34] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 35] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 36] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 37] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 38] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 39] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 40] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 41] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 42] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 43] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 44] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 45] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 46] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 47] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 48] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 49] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 50] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 51] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 52] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 53] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 54] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 55] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 56] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 57] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 58] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 59] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 60] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 61] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 62] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 63] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 64] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 65] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 66] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 67] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 68] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 69] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 70] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 71] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 72] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 73] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 74] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 75] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 76] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 77] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 78] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 79] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 80] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 81] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 82] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 83] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 84] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 85] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 86] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 87] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 88] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 89] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 90] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 91] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 92] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 93] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 94] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 95] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 96] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 97] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 98] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[ 99] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[100] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[101] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[102] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[103] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[104] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[105] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[106] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[107] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[108] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[109] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[110] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[111] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[112] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[113] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[114] 0.5 1.000 0. 0.009 fitcontVenu_day.0037.ec.fits[115] 0.5 1.000 0. 0.009 Output image = sumfitcontVenu_day.0037.ec.fits, ncombine = 115, exptime = 57.46375 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:20: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontVenu_night.0035.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[100] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[101] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[102] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[103] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[104] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[105] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[106] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[107] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[108] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[109] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[110] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[111] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[112] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[113] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[114] 600.0 1.000 0. 0.009 fitcontVenu_night.0035.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumfitcontVenu_night.0035.ec.fits, ncombine = 115, exptime = 69000.14 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:21: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontVenus_day.0022.ec.fits[ 1] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 2] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 3] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 4] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 5] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 6] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 7] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 8] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 9] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 10] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 11] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 12] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 13] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 14] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 15] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 16] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 17] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 18] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 19] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 20] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 21] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 22] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 23] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 24] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 25] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 26] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 27] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 28] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 29] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 30] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 31] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 32] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 33] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 34] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 35] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 36] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 37] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 38] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 39] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 40] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 41] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 42] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 43] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 44] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 45] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 46] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 47] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 48] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 49] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 50] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 51] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 52] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 53] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 54] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 55] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 56] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 57] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 58] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 59] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 60] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 61] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 62] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 63] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 64] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 65] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 66] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 67] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 68] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 69] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 70] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 71] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 72] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 73] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 74] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 75] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 76] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 77] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 78] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 79] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 80] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 81] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 82] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 83] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 84] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 85] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 86] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 87] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 88] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 89] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 90] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 91] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 92] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 93] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 94] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 95] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 96] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 97] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 98] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 99] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[100] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[101] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[102] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[103] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[104] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[105] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[106] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[107] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[108] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[109] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[110] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[111] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[112] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[113] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[114] 0.5 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[115] 0.5 1.000 0. 0.009 Output image = sumfitcontVenus_day.0022.ec.fits, ncombine = 115, exptime = 57.47077 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:22: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontVenus_day.0024.ec.fits[ 1] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 2] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 3] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 4] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 5] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 6] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 7] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 8] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 9] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 10] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 11] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 12] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 13] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 14] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 15] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 16] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 17] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 18] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 19] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 20] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 21] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 22] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 23] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 24] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 25] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 26] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 27] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 28] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 29] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 30] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 31] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 32] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 33] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 34] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 35] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 36] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 37] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 38] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 39] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 40] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 41] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 42] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 43] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 44] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 45] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 46] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 47] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 48] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 49] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 50] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 51] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 52] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 53] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 54] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 55] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 56] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 57] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 58] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 59] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 60] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 61] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 62] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 63] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 64] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 65] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 66] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 67] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 68] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 69] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 70] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 71] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 72] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 73] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 74] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 75] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 76] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 77] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 78] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 79] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 80] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 81] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 82] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 83] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 84] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 85] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 86] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 87] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 88] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 89] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 90] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 91] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 92] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 93] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 94] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 95] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 96] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 97] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 98] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[ 99] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[100] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[101] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[102] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[103] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[104] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[105] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[106] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[107] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[108] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[109] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[110] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[111] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[112] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[113] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[114] 0.5 1.000 0. 0.009 fitcontVenus_day.0024.ec.fits[115] 0.5 1.000 0. 0.009 Output image = sumfitcontVenus_day.0024.ec.fits, ncombine = 115, exptime = 57.46885 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:23: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontVenus_day.0025.ec.fits[ 1] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 2] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 3] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 4] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 5] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 6] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 7] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 8] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 9] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 10] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 11] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 12] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 13] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 14] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 15] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 16] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 17] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 18] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 19] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 20] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 21] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 22] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 23] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 24] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 25] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 26] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 27] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 28] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 29] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 30] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 31] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 32] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 33] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 34] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 35] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 36] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 37] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 38] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 39] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 40] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 41] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 42] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 43] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 44] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 45] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 46] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 47] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 48] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 49] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 50] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 51] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 52] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 53] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 54] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 55] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 56] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 57] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 58] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 59] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 60] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 61] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 62] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 63] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 64] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 65] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 66] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 67] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 68] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 69] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 70] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 71] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 72] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 73] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 74] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 75] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 76] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 77] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 78] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 79] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 80] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 81] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 82] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 83] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 84] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 85] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 86] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 87] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 88] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 89] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 90] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 91] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 92] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 93] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 94] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 95] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 96] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 97] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 98] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[ 99] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[100] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[101] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[102] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[103] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[104] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[105] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[106] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[107] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[108] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[109] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[110] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[111] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[112] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[113] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[114] 0.5 1.000 0. 0.009 fitcontVenus_day.0025.ec.fits[115] 0.5 1.000 0. 0.009 Output image = sumfitcontVenus_day.0025.ec.fits, ncombine = 115, exptime = 57.45986 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:24: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontVenus_day.0027.ec.fits[ 1] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 2] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 3] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 4] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 5] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 6] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 7] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 8] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 9] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 10] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 11] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 12] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 13] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 14] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 15] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 16] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 17] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 18] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 19] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 20] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 21] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 22] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 23] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 24] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 25] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 26] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 27] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 28] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 29] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 30] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 31] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 32] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 33] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 34] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 35] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 36] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 37] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 38] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 39] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 40] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 41] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 42] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 43] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 44] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 45] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 46] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 47] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 48] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 49] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 50] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 51] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 52] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 53] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 54] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 55] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 56] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 57] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 58] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 59] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 60] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 61] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 62] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 63] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 64] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 65] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 66] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 67] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 68] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 69] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 70] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 71] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 72] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 73] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 74] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 75] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 76] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 77] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 78] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 79] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 80] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 81] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 82] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 83] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 84] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 85] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 86] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 87] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 88] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 89] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 90] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 91] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 92] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 93] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 94] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 95] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 96] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 97] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 98] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[ 99] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[100] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[101] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[102] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[103] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[104] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[105] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[106] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[107] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[108] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[109] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[110] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[111] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[112] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[113] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[114] 0.5 1.000 0. 0.009 fitcontVenus_day.0027.ec.fits[115] 0.5 1.000 0. 0.009 Output image = sumfitcontVenus_day.0027.ec.fits, ncombine = 115, exptime = 57.57957 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:25: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontVenus_day.0029.ec.fits[ 1] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 2] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 3] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 4] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 5] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 6] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 7] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 8] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 9] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 10] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 11] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 12] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 13] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 14] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 15] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 16] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 17] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 18] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 19] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 20] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 21] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 22] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 23] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 24] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 25] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 26] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 27] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 28] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 29] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 30] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 31] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 32] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 33] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 34] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 35] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 36] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 37] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 38] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 39] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 40] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 41] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 42] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 43] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 44] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 45] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 46] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 47] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 48] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 49] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 50] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 51] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 52] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 53] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 54] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 55] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 56] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 57] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 58] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 59] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 60] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 61] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 62] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 63] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 64] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 65] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 66] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 67] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 68] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 69] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 70] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 71] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 72] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 73] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 74] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 75] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 76] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 77] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 78] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 79] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 80] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 81] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 82] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 83] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 84] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 85] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 86] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 87] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 88] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 89] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 90] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 91] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 92] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 93] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 94] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 95] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 96] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 97] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 98] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[ 99] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[100] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[101] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[102] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[103] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[104] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[105] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[106] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[107] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[108] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[109] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[110] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[111] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[112] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[113] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[114] 0.5 1.000 0. 0.009 fitcontVenus_day.0029.ec.fits[115] 0.5 1.000 0. 0.009 Output image = sumfitcontVenus_day.0029.ec.fits, ncombine = 115, exptime = 57.46241 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:26: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontVenus_day.0030.ec.fits[ 1] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 2] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 3] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 4] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 5] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 6] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 7] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 8] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 9] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 10] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 11] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 12] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 13] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 14] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 15] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 16] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 17] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 18] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 19] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 20] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 21] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 22] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 23] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 24] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 25] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 26] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 27] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 28] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 29] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 30] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 31] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 32] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 33] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 34] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 35] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 36] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 37] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 38] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 39] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 40] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 41] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 42] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 43] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 44] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 45] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 46] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 47] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 48] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 49] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 50] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 51] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 52] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 53] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 54] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 55] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 56] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 57] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 58] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 59] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 60] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 61] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 62] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 63] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 64] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 65] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 66] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 67] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 68] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 69] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 70] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 71] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 72] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 73] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 74] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 75] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 76] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 77] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 78] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 79] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 80] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 81] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 82] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 83] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 84] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 85] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 86] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 87] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 88] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 89] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 90] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 91] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 92] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 93] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 94] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 95] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 96] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 97] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 98] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[ 99] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[100] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[101] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[102] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[103] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[104] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[105] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[106] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[107] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[108] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[109] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[110] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[111] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[112] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[113] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[114] 0.5 1.000 0. 0.009 fitcontVenus_day.0030.ec.fits[115] 0.5 1.000 0. 0.009 Output image = sumfitcontVenus_day.0030.ec.fits, ncombine = 115, exptime = 57.58867 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:26: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontVenus_day.0038.ec.fits[ 1] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 2] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 3] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 4] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 5] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 6] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 7] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 8] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 9] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 10] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 11] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 12] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 13] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 14] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 15] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 16] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 17] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 18] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 19] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 20] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 21] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 22] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 23] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 24] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 25] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 26] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 27] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 28] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 29] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 30] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 31] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 32] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 33] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 34] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 35] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 36] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 37] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 38] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 39] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 40] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 41] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 42] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 43] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 44] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 45] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 46] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 47] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 48] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 49] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 50] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 51] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 52] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 53] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 54] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 55] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 56] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 57] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 58] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 59] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 60] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 61] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 62] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 63] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 64] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 65] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 66] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 67] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 68] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 69] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 70] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 71] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 72] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 73] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 74] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 75] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 76] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 77] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 78] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 79] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 80] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 81] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 82] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 83] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 84] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 85] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 86] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 87] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 88] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 89] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 90] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 91] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 92] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 93] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 94] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 95] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 96] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 97] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 98] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[ 99] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[100] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[101] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[102] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[103] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[104] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[105] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[106] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[107] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[108] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[109] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[110] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[111] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[112] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[113] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[114] 0.5 1.000 0. 0.009 fitcontVenus_day.0038.ec.fits[115] 0.5 1.000 0. 0.009 Output image = sumfitcontVenus_day.0038.ec.fits, ncombine = 115, exptime = 57.57208 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:27: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontVenus_day.0042.ec.fits[ 1] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 2] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 3] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 4] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 5] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 6] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 7] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 8] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 9] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 10] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 11] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 12] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 13] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 14] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 15] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 16] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 17] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 18] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 19] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 20] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 21] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 22] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 23] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 24] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 25] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 26] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 27] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 28] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 29] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 30] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 31] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 32] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 33] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 34] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 35] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 36] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 37] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 38] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 39] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 40] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 41] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 42] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 43] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 44] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 45] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 46] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 47] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 48] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 49] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 50] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 51] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 52] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 53] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 54] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 55] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 56] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 57] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 58] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 59] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 60] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 61] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 62] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 63] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 64] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 65] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 66] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 67] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 68] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 69] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 70] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 71] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 72] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 73] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 74] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 75] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 76] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 77] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 78] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 79] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 80] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 81] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 82] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 83] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 84] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 85] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 86] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 87] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 88] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 89] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 90] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 91] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 92] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 93] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 94] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 95] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 96] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 97] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 98] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[ 99] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[100] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[101] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[102] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[103] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[104] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[105] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[106] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[107] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[108] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[109] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[110] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[111] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[112] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[113] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[114] 0.5 1.000 0. 0.009 fitcontVenus_day.0042.ec.fits[115] 0.5 1.000 0. 0.009 Output image = sumfitcontVenus_day.0042.ec.fits, ncombine = 115, exptime = 57.58681 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:28: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontVenus_night.0023.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[100] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[101] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[102] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[103] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[104] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[105] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[106] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[107] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[108] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[109] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[110] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[111] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[112] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[113] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[114] 600.0 1.000 0. 0.009 fitcontVenus_night.0023.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumfitcontVenus_night.0023.ec.fits, ncombine = 115, exptime = 69000.14 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:29: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontVenus_night.0028.ec.fits[ 1] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 2] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 3] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 4] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 5] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 6] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 7] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 8] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 9] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 10] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 11] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 12] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 13] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 14] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 15] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 16] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 17] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 18] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 19] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 20] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 21] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 22] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 23] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 24] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 25] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 26] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 27] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 28] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 29] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 30] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 31] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 32] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 33] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 34] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 35] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 36] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 37] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 38] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 39] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 40] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 41] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 42] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 43] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 44] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 45] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 46] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 47] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 48] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 49] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 50] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 51] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 52] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 53] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 54] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 55] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 56] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 57] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 58] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 59] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 60] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 61] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 62] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 63] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 64] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 65] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 66] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 67] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 68] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 69] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 70] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 71] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 72] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 73] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 74] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 75] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 76] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 77] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 78] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 79] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 80] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 81] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 82] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 83] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 84] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 85] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 86] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 87] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 88] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 89] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 90] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 91] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 92] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 93] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 94] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 95] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 96] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 97] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 98] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[ 99] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[100] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[101] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[102] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[103] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[104] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[105] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[106] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[107] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[108] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[109] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[110] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[111] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[112] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[113] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[114] 60.0 1.000 0. 0.009 fitcontVenus_night.0028.ec.fits[115] 60.0 1.000 0. 0.009 Output image = sumfitcontVenus_night.0028.ec.fits, ncombine = 115, exptime = 6900.002 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 Dec 30 21:30: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontVenus_night.0041.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[100] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[101] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[102] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[103] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[104] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[105] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[106] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[107] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[108] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[109] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[110] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[111] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[112] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[113] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[114] 600.0 1.000 0. 0.009 fitcontVenus_night.0041.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumfitcontVenus_night.0041.ec.fits, ncombine = 115, exptime = 69000.02 w1 = 3359.646, w2 = 10811.12, dw = 0.04363123, nw = 170784., dtype = 0 fullspecA0V.0021.ec.fits,EXPTIME: 6900.019 -> 60.0001652174 fullspecA0V.0021.ec.fits updated fullspecA0V.0026.ec.fits,EXPTIME: 6900.002 -> 60.0000173913 fullspecA0V.0026.ec.fits updated fullspecA0V.0031.ec.fits,EXPTIME: 13800.03 -> 120.00026087 fullspecA0V.0031.ec.fits updated fullspecA0V.0040.ec.fits,EXPTIME: 13800.04 -> 120.000347826 fullspecA0V.0040.ec.fits updated fullspecVenu_day.0032.ec.fits,EXPTIME: 186.0478 -> 1.61780695652 fullspecVenu_day.0032.ec.fits updated fullspecVenu_day.0033.ec.fits,EXPTIME: 57.47628 -> 0.49979373913 fullspecVenu_day.0033.ec.fits updated fullspecVenu_day.0034.ec.fits,EXPTIME: 57.58061 -> 0.500700956522 fullspecVenu_day.0034.ec.fits updated fullspecVenu_day.0036.ec.fits,EXPTIME: 186.154 -> 1.61873043478 fullspecVenu_day.0036.ec.fits updated fullspecVenu_day.0037.ec.fits,EXPTIME: 57.46375 -> 0.499684782609 fullspecVenu_day.0037.ec.fits updated fullspecVenu_night.0035.ec.fits,EXPTIME: 69000.14 -> 600.001217391 fullspecVenu_night.0035.ec.fits updated fullspecVenus_day.0022.ec.fits,EXPTIME: 57.47077 -> 0.499745826087 fullspecVenus_day.0022.ec.fits updated fullspecVenus_day.0024.ec.fits,EXPTIME: 57.46885 -> 0.499729130435 fullspecVenus_day.0024.ec.fits updated fullspecVenus_day.0025.ec.fits,EXPTIME: 57.45986 -> 0.499650956522 fullspecVenus_day.0025.ec.fits updated fullspecVenus_day.0027.ec.fits,EXPTIME: 57.57957 -> 0.500691913043 fullspecVenus_day.0027.ec.fits updated fullspecVenus_day.0029.ec.fits,EXPTIME: 57.46241 -> 0.499673130435 fullspecVenus_day.0029.ec.fits updated fullspecVenus_day.0030.ec.fits,EXPTIME: 57.58867 -> 0.500771043478 fullspecVenus_day.0030.ec.fits updated fullspecVenus_day.0038.ec.fits,EXPTIME: 57.57208 -> 0.500626782609 fullspecVenus_day.0038.ec.fits updated fullspecVenus_day.0042.ec.fits,EXPTIME: 57.58681 -> 0.500754869565 fullspecVenus_day.0042.ec.fits updated fullspecVenus_night.0023.ec.fits,EXPTIME: 69000.14 -> 600.001217391 fullspecVenus_night.0023.ec.fits updated fullspecVenus_night.0028.ec.fits,EXPTIME: 6900.002 -> 60.0000173913 fullspecVenus_night.0028.ec.fits updated fullspecVenus_night.0041.ec.fits,EXPTIME: 69000.02 -> 600.000173913 fullspecVenus_night.0041.ec.fits updated ALL DONE! Yay! (=^.^=)