Copying data files and other necessary files Changing to reduced data directory Generating file lists... Setting dispaxis... add A0V.0001.fits,dispaxis = 1 A0V.0001.fits updated add A0V.0002.fits,dispaxis = 1 A0V.0002.fits updated add A0V.0003.fits,dispaxis = 1 A0V.0003.fits updated add A0V.0004.fits,dispaxis = 1 A0V.0004.fits updated add A0V.0005.fits,dispaxis = 1 A0V.0005.fits updated add A0V.0006.fits,dispaxis = 1 A0V.0006.fits updated add A0V.0007.fits,dispaxis = 1 A0V.0007.fits updated add A0V.0008.fits,dispaxis = 1 A0V.0008.fits updated add A0V.0009.fits,dispaxis = 1 A0V.0009.fits updated add A0V.0010.fits,dispaxis = 1 A0V.0010.fits updated add A0V.0011.fits,dispaxis = 1 A0V.0011.fits updated add A0V.0012.fits,dispaxis = 1 A0V.0012.fits updated add A0V.0013.fits,dispaxis = 1 A0V.0013.fits updated add Bias.0031.fits,dispaxis = 1 Bias.0031.fits updated add Bias.0032.fits,dispaxis = 1 Bias.0032.fits updated add Bias.0033.fits,dispaxis = 1 Bias.0033.fits updated add Bias.0034.fits,dispaxis = 1 Bias.0034.fits updated add Bias.0035.fits,dispaxis = 1 Bias.0035.fits updated add Flat.0025.fits,dispaxis = 1 Flat.0025.fits updated add Flat.0026.fits,dispaxis = 1 Flat.0026.fits updated add Flat.0027.fits,dispaxis = 1 Flat.0027.fits updated add FlatBlue.0028.fits,dispaxis = 1 FlatBlue.0028.fits updated add FlatBlue.0029.fits,dispaxis = 1 FlatBlue.0029.fits updated add FlatBlue.0030.fits,dispaxis = 1 FlatBlue.0030.fits updated add ThAr.0023.fits,dispaxis = 1 ThAr.0023.fits updated add ThAr.0024.fits,dispaxis = 1 ThAr.0024.fits updated add Venus_day.0014.fits,dispaxis = 1 Venus_day.0014.fits updated add Venus_day.0015.fits,dispaxis = 1 Venus_day.0015.fits updated add Venus_day.0016.fits,dispaxis = 1 Venus_day.0016.fits updated add Venus_day.0017.fits,dispaxis = 1 Venus_day.0017.fits updated add Venus_day.0021.fits,dispaxis = 1 Venus_day.0021.fits updated add Venus_day.0022.fits,dispaxis = 1 Venus_day.0022.fits updated add Venus_night.0018.fits,dispaxis = 1 Venus_night.0018.fits updated add Venus_night.0019.fits,dispaxis = 1 Venus_night.0019.fits updated add sky.0020.fits,dispaxis = 1 sky.0020.fits updated Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. FIXPIX: image Flat.0025.fits with mask echmask.pl Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. FIXPIX: image Flat.0026.fits with mask echmask.pl Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. FIXPIX: image Flat.0027.fits with mask echmask.pl Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. FIXPIX: image FlatBlue.0028.fits with mask echmask.pl Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. FIXPIX: image FlatBlue.0029.fits with mask echmask.pl Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. FIXPIX: image FlatBlue.0030.fits with mask echmask.pl FIXPIX: image A0V.0001.fits with mask echmask.pl FIXPIX: image A0V.0002.fits with mask echmask.pl FIXPIX: image A0V.0003.fits with mask echmask.pl FIXPIX: image A0V.0004.fits with mask echmask.pl FIXPIX: image A0V.0005.fits with mask echmask.pl FIXPIX: image A0V.0006.fits with mask echmask.pl FIXPIX: image A0V.0007.fits with mask echmask.pl FIXPIX: image A0V.0008.fits with mask echmask.pl FIXPIX: image A0V.0009.fits with mask echmask.pl FIXPIX: image A0V.0010.fits with mask echmask.pl FIXPIX: image A0V.0011.fits with mask echmask.pl FIXPIX: image A0V.0012.fits with mask echmask.pl FIXPIX: image A0V.0013.fits with mask echmask.pl FIXPIX: image Venus_day.0014.fits with mask echmask.pl FIXPIX: image Venus_day.0015.fits with mask echmask.pl FIXPIX: image Venus_day.0016.fits with mask echmask.pl FIXPIX: image Venus_day.0017.fits with mask echmask.pl FIXPIX: image Venus_day.0021.fits with mask echmask.pl FIXPIX: image Venus_day.0022.fits with mask echmask.pl FIXPIX: image Venus_night.0018.fits with mask echmask.pl FIXPIX: image Venus_night.0019.fits with mask echmask.pl FIXPIX: image sky.0020.fits with mask echmask.pl Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. FIXPIX: image ThAr.0023.fits with mask echmask.pl Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. FIXPIX: image ThAr.0024.fits with mask echmask.pl Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. Nov 29 23:47: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Exp Bias.0031.fits 0.0 Bias.0032.fits 0.0 Bias.0033.fits 1.2 Bias.0034.fits 0.0 Bias.0035.fits 0.9 Output image = bias_fid, ncombine = 5 Calibrating object images and flats (bias, and trimming)... A0V.0001.fits: Nov 29 23:47 Trim data section is [200:1850,1:2048] Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. bias_fid: Nov 29 23:47 Trim data section is [200:1850,1:2048] A0V.0001.fits: Nov 29 23:47 Zero level correction image is bias_fid A0V.0002.fits: Nov 29 23:47 Trim data section is [200:1850,1:2048] A0V.0002.fits: Nov 29 23:47 Zero level correction image is bias_fid A0V.0003.fits: Nov 29 23:47 Trim data section is [200:1850,1:2048] A0V.0003.fits: Nov 29 23:47 Zero level correction image is bias_fid A0V.0004.fits: Nov 29 23:47 Trim data section is [200:1850,1:2048] A0V.0004.fits: Nov 29 23:47 Zero level correction image is bias_fid A0V.0005.fits: Nov 29 23:47 Trim data section is [200:1850,1:2048] A0V.0005.fits: Nov 29 23:47 Zero level correction image is bias_fid A0V.0006.fits: Nov 29 23:47 Trim data section is [200:1850,1:2048] A0V.0006.fits: Nov 29 23:47 Zero level correction image is bias_fid A0V.0007.fits: Nov 29 23:47 Trim data section is [200:1850,1:2048] A0V.0007.fits: Nov 29 23:47 Zero level correction image is bias_fid A0V.0008.fits: Nov 29 23:47 Trim data section is [200:1850,1:2048] A0V.0008.fits: Nov 29 23:47 Zero level correction image is bias_fid A0V.0009.fits: Nov 29 23:47 Trim data section is [200:1850,1:2048] A0V.0009.fits: Nov 29 23:47 Zero level correction image is bias_fid A0V.0010.fits: Nov 29 23:47 Trim data section is [200:1850,1:2048] A0V.0010.fits: Nov 29 23:47 Zero level correction image is bias_fid A0V.0011.fits: Nov 29 23:47 Trim data section is [200:1850,1:2048] A0V.0011.fits: Nov 29 23:47 Zero level correction image is bias_fid A0V.0012.fits: Nov 29 23:47 Trim data section is [200:1850,1:2048] A0V.0012.fits: Nov 29 23:47 Zero level correction image is bias_fid A0V.0013.fits: Nov 29 23:47 Trim data section is [200:1850,1:2048] A0V.0013.fits: Nov 29 23:47 Zero level correction image is bias_fid Venus_day.0014.fits: Nov 29 23:47 Trim data section is [200:1850,1:2048] Venus_day.0014.fits: Nov 29 23:47 Zero level correction image is bias_fid Venus_day.0015.fits: Nov 29 23:47 Trim data section is [200:1850,1:2048] Venus_day.0015.fits: Nov 29 23:47 Zero level correction image is bias_fid Venus_day.0016.fits: Nov 29 23:47 Trim data section is [200:1850,1:2048] Venus_day.0016.fits: Nov 29 23:47 Zero level correction image is bias_fid Venus_day.0017.fits: Nov 29 23:47 Trim data section is [200:1850,1:2048] Venus_day.0017.fits: Nov 29 23:47 Zero level correction image is bias_fid Venus_day.0021.fits: Nov 29 23:47 Trim data section is [200:1850,1:2048] Venus_day.0021.fits: Nov 29 23:47 Zero level correction image is bias_fid Venus_day.0022.fits: Nov 29 23:47 Trim data section is [200:1850,1:2048] Venus_day.0022.fits: Nov 29 23:47 Zero level correction image is bias_fid Venus_night.0018.fits: Nov 29 23:47 Trim data section is [200:1850,1:2048] Venus_night.0018.fits: Nov 29 23:47 Zero level correction image is bias_fid Venus_night.0019.fits: Nov 29 23:47 Trim data section is [200:1850,1:2048] Venus_night.0019.fits: Nov 29 23:47 Zero level correction image is bias_fid sky.0020.fits: Nov 29 23:47 Trim data section is [200:1850,1:2048] sky.0020.fits: Nov 29 23:47 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. Flat.0025.fits: Nov 29 23:47 Trim data section is [200:1850,1:2048] Flat.0025.fits: Nov 29 23:47 Zero level correction image is bias_fid Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. Flat.0026.fits: Nov 29 23:47 Trim data section is [200:1850,1:2048] Flat.0026.fits: Nov 29 23:47 Zero level correction image is bias_fid Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. Flat.0027.fits: Nov 29 23:47 Trim data section is [200:1850,1:2048] Flat.0027.fits: Nov 29 23:47 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. FlatBlue.0028.fits: Nov 29 23:47 Trim data section is [200:1850,1:2048] FlatBlue.0028.fits: Nov 29 23:47 Zero level correction image is bias_fid Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. FlatBlue.0029.fits: Nov 29 23:47 Trim data section is [200:1850,1:2048] FlatBlue.0029.fits: Nov 29 23:47 Zero level correction image is bias_fid Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. FlatBlue.0030.fits: Nov 29 23:47 Trim data section is [200:1850,1:2048] FlatBlue.0030.fits: Nov 29 23:47 Zero level correction image is bias_fid Calibrating ThAr arcs... Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. ThAr.0023.fits: Nov 29 23:47 Trim data section is [200:1850,1:2048] ThAr.0023.fits: Nov 29 23:47 Zero level correction image is bias_fid Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. ThAr.0024.fits: Nov 29 23:47 Trim data section is [200:1850,1:2048] ThAr.0024.fits: Nov 29 23:47 Zero level correction image is bias_fid Combining red and blue flats into separate fiducial flats... Nov 29 23:49: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp FlatBlue.0028.fits 200.0 FlatBlue.0029.fits 200.0 FlatBlue.0030.fits 200.0 Output image = flat_blue_mean.fits, ncombine = 3 Nov 29 23:49: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp Flat.0025.fits 7.0 Flat.0026.fits 7.0 Flat.0027.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... Nov 29 23:49: TRACE - Trace of aperture 98 in flat_fid_mag lost at column 1630. Nov 29 23:49: TRACE - Trace of aperture 98 in flat_fid_mag recovered at column 1631. Nov 29 23:49: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1594. Nov 29 23:49: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1595. Nov 29 23:49: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1596. Nov 29 23:49: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1622. Nov 29 23:49: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1623. Nov 29 23:49: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 131. Nov 29 23:49: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 130. Nov 29 23:49: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 129. Nov 29 23:49: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 87. Nov 29 23:49: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 86. Nov 29 23:49: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 85. Nov 29 23:49: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1592. Nov 29 23:49: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1593. Nov 29 23:49: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1599. Nov 29 23:49: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1600. Nov 29 23:49: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1601. Nov 29 23:49: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1602. Nov 29 23:49: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1607. Nov 29 23:49: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1608. Nov 29 23:49: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1609. Nov 29 23:49: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1610. Nov 29 23:49: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1611. Nov 29 23:49: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1612. Nov 29 23:49: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 178. Nov 29 23:49: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 177. Nov 29 23:49: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 176. Nov 29 23:49: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 170. Nov 29 23:49: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 169. Nov 29 23:49: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 168. Nov 29 23:49: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1583. Nov 29 23:49: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1584. Nov 29 23:49: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1585. Nov 29 23:49: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1586. Nov 29 23:49: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1587. Nov 29 23:49: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1591. Nov 29 23:49: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1592. Nov 29 23:49: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1593. Nov 29 23:49: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1609. Nov 29 23:49: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1610. Nov 29 23:49: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1611. Nov 29 23:49: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1612. Nov 29 23:49: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1613. Nov 29 23:49: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 164. Nov 29 23:49: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 163. Nov 29 23:49: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 128. Nov 29 23:49: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 127. Nov 29 23:49: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1549. Nov 29 23:49: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1550. Nov 29 23:49: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1551. Nov 29 23:49: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1577. Nov 29 23:49: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1578. Nov 29 23:49: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1579. Nov 29 23:49: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1580. Nov 29 23:49: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1582. Nov 29 23:49: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1583. Nov 29 23:49: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1584. Nov 29 23:49: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1613. Nov 29 23:49: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1614. Nov 29 23:49: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1615. Nov 29 23:49: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1616. Nov 29 23:49: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1617. Nov 29 23:49: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1632. Nov 29 23:49: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1633. Nov 29 23:49: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1649. Nov 29 23:49: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1650. Nov 29 23:49: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1651. Nov 29 23:49: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 208. Nov 29 23:49: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 207. Nov 29 23:49: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 111. Nov 29 23:49: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 110. Nov 29 23:49: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1582. Nov 29 23:49: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1583. Nov 29 23:49: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1584. Nov 29 23:49: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1585. Nov 29 23:49: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1586. Nov 29 23:49: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1598. Nov 29 23:49: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1599. Nov 29 23:49: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1600. Nov 29 23:49: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1605. Nov 29 23:49: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1606. Nov 29 23:49: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1607. Nov 29 23:49: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1616. Nov 29 23:49: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1617. Nov 29 23:49: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1639. Nov 29 23:49: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1640. Nov 29 23:49: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1641. Nov 29 23:49: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 191. Nov 29 23:49: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 190. Nov 29 23:49: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 109. Nov 29 23:49: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 108. Nov 29 23:49: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 106. Nov 29 23:49: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 105. Nov 29 23:49: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 104. Nov 29 23:49: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 36. Nov 29 23:49: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 35. Nov 29 23:49: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 34. Nov 29 23:49: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1494. Nov 29 23:49: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1495. Nov 29 23:49: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1508. Nov 29 23:49: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1509. Nov 29 23:49: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1510. Nov 29 23:49: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1522. Nov 29 23:49: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1523. Nov 29 23:49: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1536. Nov 29 23:49: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1537. Nov 29 23:49: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1538. Nov 29 23:49: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 245. Nov 29 23:49: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 244. Nov 29 23:49: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 195. Nov 29 23:49: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 194. Nov 29 23:49: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 151. Nov 29 23:49: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 150. Nov 29 23:49: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 139. Nov 29 23:49: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 138. Nov 29 23:49: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 128. Nov 29 23:49: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 127. Nov 29 23:49: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 119. Nov 29 23:49: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 118. Nov 29 23:49: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 85. Nov 29 23:49: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 84. Nov 29 23:49: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1451. Nov 29 23:49: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1452. Nov 29 23:49: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1499. Nov 29 23:49: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1500. Nov 29 23:49: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1505. Nov 29 23:49: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1506. Nov 29 23:49: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1507. Nov 29 23:49: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 199. Nov 29 23:49: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 198. Nov 29 23:49: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 195. Nov 29 23:49: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 194. Nov 29 23:49: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 175. Nov 29 23:49: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 174. Nov 29 23:49: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 161. Nov 29 23:49: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 160. Nov 29 23:49: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 123. Nov 29 23:49: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 122. Nov 29 23:49: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 94. Nov 29 23:49: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 93. Nov 29 23:49: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1452. Nov 29 23:49: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1453. Nov 29 23:49: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1460. Nov 29 23:49: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1461. Nov 29 23:49: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1462. Nov 29 23:49: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 262. Nov 29 23:49: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 261. Nov 29 23:49: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 260. Nov 29 23:49: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1394. Nov 29 23:49: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1395. Nov 29 23:49: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1407. Nov 29 23:49: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1408. Nov 29 23:49: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1427. Nov 29 23:49: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1428. Nov 29 23:49: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1452. Nov 29 23:49: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1453. Nov 29 23:49: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1454. Nov 29 23:49: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 290. Nov 29 23:49: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 289. Nov 29 23:49: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 288. Nov 29 23:49: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1256. Nov 29 23:49: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1257. Nov 29 23:49: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1304. Nov 29 23:49: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1305. Nov 29 23:49: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1306. Nov 29 23:49: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1422. Nov 29 23:49: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1423. Nov 29 23:49: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1424. Nov 29 23:49: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 336. Nov 29 23:49: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 335. Nov 29 23:49: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 334. Nov 29 23:49: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 279. Nov 29 23:49: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 278. Nov 29 23:49: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 277. Nov 29 23:49: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 235. Nov 29 23:49: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 234. Nov 29 23:49: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 233. Nov 29 23:49: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1340. Nov 29 23:49: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1341. Nov 29 23:49: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1342. Nov 29 23:49: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1348. Nov 29 23:49: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1349. Nov 29 23:49: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1369. Nov 29 23:49: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1370. Nov 29 23:49: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1371. Nov 29 23:49: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 392. Nov 29 23:49: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 391. Nov 29 23:49: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 349. Nov 29 23:49: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 348. Nov 29 23:49: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 347. Nov 29 23:49: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 319. Nov 29 23:49: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 318. Nov 29 23:49: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 284. Nov 29 23:49: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 283. Nov 29 23:49: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 261. Nov 29 23:49: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 260. Nov 29 23:49: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 259. Nov 29 23:49: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 253. Nov 29 23:49: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 252. Nov 29 23:49: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 239. Nov 29 23:49: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 238. Nov 29 23:49: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 222. Nov 29 23:49: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 221. Nov 29 23:49: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 195. Nov 29 23:49: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 194. Nov 29 23:49: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 193. Nov 29 23:49: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1193. Nov 29 23:49: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1194. Nov 29 23:49: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1195. Nov 29 23:49: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1218. Nov 29 23:49: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1219. Nov 29 23:49: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1220. Nov 29 23:49: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 503. Nov 29 23:49: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 502. Nov 29 23:49: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 444. Nov 29 23:49: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 443. Nov 29 23:49: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 351. Nov 29 23:49: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 350. Nov 29 23:49: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 333. Nov 29 23:49: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 332. Nov 29 23:49: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 302. Nov 29 23:49: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 301. Nov 29 23:49: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 300. Nov 29 23:49: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1000. Nov 29 23:49: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1001. Nov 29 23:49: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1002. Nov 29 23:49: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1022. Nov 29 23:49: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1023. Nov 29 23:49: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1039. Nov 29 23:49: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1040. Nov 29 23:49: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1041. Nov 29 23:49: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 474. Nov 29 23:49: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 473. Nov 29 23:49: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 465. Nov 29 23:49: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 464. Nov 29 23:49: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 463. Nov 29 23:49: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 449. Nov 29 23:49: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 448. Nov 29 23:49: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 391. Nov 29 23:49: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 390. Nov 29 23:49: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 389. Nov 29 23:49: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 373. Nov 29 23:49: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 372. Nov 29 23:49: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 371. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 857. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 858. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 954. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 955. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 956. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 961. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 962. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 965. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 966. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 967. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 573. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 572. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 571. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 506. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 505. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 504. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 435. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 434. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 421. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 420. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 376. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 375. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 364. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 363. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 362. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 361. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 353. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 352. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 350. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 349. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 327. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 326. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 306. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 305. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 302. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 301. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 300. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 297. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 296. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 287. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 286. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 285. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 284. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 272. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 271. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 243. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 242. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 212. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 211. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 210. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 206. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 205. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 199. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 198. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 176. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 175. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 174. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 158. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 157. Nov 29 23:49: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 156. Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Normalizing the superflat... flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits IMARITH: Operation = + Operand1 = nonorm_flat_fid_mag.ec.fits Operand2 = 23.02 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.0023.fits Magnify image ThAr.0023.fits to image ThAr.0023.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.0023.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr.0023.fits updated Applying model apertures to the arc and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Resampling the arc by a factor of 4 in the y direction... ThAr.0024.fits Magnify image ThAr.0024.fits to image ThAr.0024.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.0024.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr.0024.fits updated Applying model apertures to the arc and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Resampling the object by a factor of 4 in the y direction... A0V.0001 Magnify image A0V.0001 to image A0V.0001. 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.0001,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] A0V.0001 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... A0V.0001 -> noscatA0V.0001 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Nov 29 23:50: EXTRACT: WARNING - Aperture 113: Nov 29 23:50: Total variance weighted spectrum flux is 4913.451 Nov 29 23:50: Total unweighted spectrum flux is 1545.437 Nov 29 23:50: EXTRACT: Aperture 113 variance spectrum bias factor is 0.3145319 Nov 29 23:50: EXTRACT: WARNING - Aperture 114: Nov 29 23:50: Total variance weighted spectrum flux is 2129.075 Nov 29 23:50: Total unweighted spectrum flux is 589.8707 Nov 29 23:50: EXTRACT: Aperture 114 variance spectrum bias factor is 0.2770548 Nov 29 23:50: EXTRACT: WARNING - Aperture 115: Nov 29 23:50: Total variance weighted spectrum flux is 8524.783 Nov 29 23:50: Total unweighted spectrum flux is 1806.33 Nov 29 23:50: EXTRACT: Aperture 115 variance spectrum bias factor is 0.2118916 Resampling the object by a factor of 4 in the y direction... A0V.0002 Magnify image A0V.0002 to image A0V.0002. 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.0002,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] A0V.0002 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... A0V.0002 -> noscatA0V.0002 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Resampling the object by a factor of 4 in the y direction... A0V.0003 Magnify image A0V.0003 to image A0V.0003. 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.0003,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] A0V.0003 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... A0V.0003 -> noscatA0V.0003 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Resampling the object by a factor of 4 in the y direction... A0V.0004 Magnify image A0V.0004 to image A0V.0004. 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.0004,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] A0V.0004 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... A0V.0004 -> noscatA0V.0004 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Nov 29 23:52: EXTRACT: WARNING - Aperture 115: Nov 29 23:52: Total variance weighted spectrum flux is 30339. Nov 29 23:52: Total unweighted spectrum flux is 14603.75 Nov 29 23:52: EXTRACT: Aperture 115 variance spectrum bias factor is 0.4813524 Resampling the object by a factor of 4 in the y direction... A0V.0005 Magnify image A0V.0005 to image A0V.0005. 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.0005,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] A0V.0005 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... A0V.0005 -> noscatA0V.0005 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Resampling the object by a factor of 4 in the y direction... A0V.0006 Magnify image A0V.0006 to image A0V.0006. 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.0006,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] A0V.0006 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... A0V.0006 -> noscatA0V.0006 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Nov 29 23:53: EXTRACT: WARNING - Aperture 105: Nov 29 23:53: Total variance weighted spectrum flux is 27029.27 Nov 29 23:53: Total unweighted spectrum flux is 12504.85 Nov 29 23:53: EXTRACT: Aperture 105 variance spectrum bias factor is 0.462641 Nov 29 23:53: EXTRACT: WARNING - Aperture 107: Nov 29 23:53: Total variance weighted spectrum flux is 9071.297 Nov 29 23:53: Total unweighted spectrum flux is 3003.301 Nov 29 23:53: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3310773 Nov 29 23:53: EXTRACT: WARNING - Aperture 108: Nov 29 23:53: Total variance weighted spectrum flux is 19231.92 Nov 29 23:53: Total unweighted spectrum flux is 9278.295 Nov 29 23:53: EXTRACT: Aperture 108 variance spectrum bias factor is 0.4824425 Nov 29 23:53: EXTRACT: WARNING - Aperture 110: Nov 29 23:53: Total variance weighted spectrum flux is 6998.772 Nov 29 23:53: Total unweighted spectrum flux is 2064.883 Nov 29 23:53: EXTRACT: Aperture 110 variance spectrum bias factor is 0.295035 Nov 29 23:53: EXTRACT: WARNING - Aperture 111: Nov 29 23:53: Total variance weighted spectrum flux is 25504.29 Nov 29 23:53: Total unweighted spectrum flux is 10300.93 Nov 29 23:53: EXTRACT: Aperture 111 variance spectrum bias factor is 0.4038902 Nov 29 23:53: EXTRACT: WARNING - Aperture 112: Nov 29 23:53: Total variance weighted spectrum flux is 18532.98 Nov 29 23:53: Total unweighted spectrum flux is -1561.554 Nov 29 23:53: Variance spectrum bias factor ignored Nov 29 23:53: EXTRACT: WARNING - Aperture 113: Nov 29 23:53: Total variance weighted spectrum flux is 7932.671 Nov 29 23:53: Total unweighted spectrum flux is 502.1686 Nov 29 23:53: EXTRACT: Aperture 113 variance spectrum bias factor is 0.06330385 Nov 29 23:53: EXTRACT: WARNING - Aperture 114: Nov 29 23:53: Total variance weighted spectrum flux is 6293.224 Nov 29 23:53: Total unweighted spectrum flux is 1789.276 Nov 29 23:53: EXTRACT: Aperture 114 variance spectrum bias factor is 0.2843179 Nov 29 23:53: EXTRACT: WARNING - Aperture 115: Nov 29 23:53: Total variance weighted spectrum flux is 8875.913 Nov 29 23:53: Total unweighted spectrum flux is -1849.231 Nov 29 23:53: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... A0V.0007 Magnify image A0V.0007 to image A0V.0007. 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.0007,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] A0V.0007 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... A0V.0007 -> noscatA0V.0007 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Nov 29 23:54: EXTRACT: WARNING - Aperture 105: Nov 29 23:54: Total variance weighted spectrum flux is 18746.46 Nov 29 23:54: Total unweighted spectrum flux is 8033.752 Nov 29 23:54: EXTRACT: Aperture 105 variance spectrum bias factor is 0.4285478 Nov 29 23:54: EXTRACT: WARNING - Aperture 107: Nov 29 23:54: Total variance weighted spectrum flux is 12901.24 Nov 29 23:54: Total unweighted spectrum flux is 6176.847 Nov 29 23:54: EXTRACT: Aperture 107 variance spectrum bias factor is 0.4787792 Nov 29 23:54: EXTRACT: WARNING - Aperture 108: Nov 29 23:54: Total variance weighted spectrum flux is 15801.13 Nov 29 23:54: Total unweighted spectrum flux is 7014.578 Nov 29 23:54: EXTRACT: Aperture 108 variance spectrum bias factor is 0.4439289 Nov 29 23:54: EXTRACT: WARNING - Aperture 109: Nov 29 23:54: Total variance weighted spectrum flux is 14007.57 Nov 29 23:54: Total unweighted spectrum flux is 4208.004 Nov 29 23:54: EXTRACT: Aperture 109 variance spectrum bias factor is 0.3004092 Nov 29 23:54: EXTRACT: WARNING - Aperture 110: Nov 29 23:54: Total variance weighted spectrum flux is 14100.38 Nov 29 23:54: Total unweighted spectrum flux is 3319.114 Nov 29 23:54: EXTRACT: Aperture 110 variance spectrum bias factor is 0.2353918 Nov 29 23:54: EXTRACT: WARNING - Aperture 111: Nov 29 23:54: Total variance weighted spectrum flux is 11506.13 Nov 29 23:54: Total unweighted spectrum flux is 2375.708 Nov 29 23:54: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2064732 Nov 29 23:54: EXTRACT: WARNING - Aperture 112: Nov 29 23:54: Total variance weighted spectrum flux is 4416.019 Nov 29 23:54: Total unweighted spectrum flux is 1279.084 Nov 29 23:54: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2896464 Nov 29 23:54: EXTRACT: WARNING - Aperture 113: Nov 29 23:54: Total variance weighted spectrum flux is 4655.812 Nov 29 23:54: Total unweighted spectrum flux is -554.5342 Nov 29 23:54: Variance spectrum bias factor ignored Nov 29 23:54: EXTRACT: WARNING - Aperture 114: Nov 29 23:54: Total variance weighted spectrum flux is 5322.356 Nov 29 23:54: Total unweighted spectrum flux is 2261.125 Nov 29 23:54: EXTRACT: Aperture 114 variance spectrum bias factor is 0.4248354 Nov 29 23:54: EXTRACT: WARNING - Aperture 115: Nov 29 23:54: Total variance weighted spectrum flux is 5064.525 Nov 29 23:54: Total unweighted spectrum flux is -345.1239 Nov 29 23:54: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... A0V.0008 Magnify image A0V.0008 to image A0V.0008. 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.0008,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] A0V.0008 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... A0V.0008 -> noscatA0V.0008 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Nov 29 23:55: EXTRACT: WARNING - Aperture 105: Nov 29 23:55: Total variance weighted spectrum flux is 10172.59 Nov 29 23:55: Total unweighted spectrum flux is -703.8757 Nov 29 23:55: Variance spectrum bias factor ignored Nov 29 23:55: EXTRACT: WARNING - Aperture 109: Nov 29 23:55: Total variance weighted spectrum flux is 20618.2 Nov 29 23:55: Total unweighted spectrum flux is 7190.958 Nov 29 23:55: EXTRACT: Aperture 109 variance spectrum bias factor is 0.3487676 Nov 29 23:55: EXTRACT: WARNING - Aperture 110: Nov 29 23:55: Total variance weighted spectrum flux is 6572.586 Nov 29 23:55: Total unweighted spectrum flux is 2440.281 Nov 29 23:55: EXTRACT: Aperture 110 variance spectrum bias factor is 0.3712818 Nov 29 23:55: EXTRACT: WARNING - Aperture 111: Nov 29 23:55: Total variance weighted spectrum flux is 7814.951 Nov 29 23:55: Total unweighted spectrum flux is 3854.37 Nov 29 23:55: EXTRACT: Aperture 111 variance spectrum bias factor is 0.4932046 Nov 29 23:55: EXTRACT: WARNING - Aperture 112: Nov 29 23:55: Total variance weighted spectrum flux is 7467.84 Nov 29 23:55: Total unweighted spectrum flux is 567.8036 Nov 29 23:55: EXTRACT: Aperture 112 variance spectrum bias factor is 0.07603317 Nov 29 23:55: EXTRACT: WARNING - Aperture 113: Nov 29 23:55: Total variance weighted spectrum flux is 4758.122 Nov 29 23:55: Total unweighted spectrum flux is -1038.179 Nov 29 23:55: Variance spectrum bias factor ignored Nov 29 23:55: EXTRACT: WARNING - Aperture 114: Nov 29 23:55: Total variance weighted spectrum flux is 3842.993 Nov 29 23:55: Total unweighted spectrum flux is 1661.148 Nov 29 23:55: EXTRACT: Aperture 114 variance spectrum bias factor is 0.4322538 Nov 29 23:55: EXTRACT: WARNING - Aperture 115: Nov 29 23:55: Total variance weighted spectrum flux is 5155.271 Nov 29 23:55: Total unweighted spectrum flux is -509.2014 Nov 29 23:55: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... A0V.0009 Magnify image A0V.0009 to image A0V.0009. 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.0009,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] A0V.0009 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... A0V.0009 -> noscatA0V.0009 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Nov 29 23:56: EXTRACT: WARNING - Aperture 108: Nov 29 23:56: Total variance weighted spectrum flux is 13725.58 Nov 29 23:56: Total unweighted spectrum flux is 6697.013 Nov 29 23:56: EXTRACT: Aperture 108 variance spectrum bias factor is 0.4879221 Nov 29 23:56: EXTRACT: WARNING - Aperture 110: Nov 29 23:56: Total variance weighted spectrum flux is 17826.49 Nov 29 23:56: Total unweighted spectrum flux is -3787.157 Nov 29 23:56: Variance spectrum bias factor ignored Nov 29 23:56: EXTRACT: WARNING - Aperture 111: Nov 29 23:56: Total variance weighted spectrum flux is 5713.502 Nov 29 23:56: Total unweighted spectrum flux is 1015.989 Nov 29 23:56: EXTRACT: Aperture 111 variance spectrum bias factor is 0.1778225 Nov 29 23:56: EXTRACT: WARNING - Aperture 112: Nov 29 23:56: Total variance weighted spectrum flux is 6979.217 Nov 29 23:56: Total unweighted spectrum flux is 2649.285 Nov 29 23:56: EXTRACT: Aperture 112 variance spectrum bias factor is 0.3795964 Nov 29 23:56: EXTRACT: WARNING - Aperture 113: Nov 29 23:56: Total variance weighted spectrum flux is 5060.711 Nov 29 23:56: Total unweighted spectrum flux is -1385.427 Nov 29 23:56: Variance spectrum bias factor ignored Nov 29 23:56: EXTRACT: WARNING - Aperture 114: Nov 29 23:56: Total variance weighted spectrum flux is 2749.128 Nov 29 23:56: Total unweighted spectrum flux is -1186.936 Nov 29 23:56: Variance spectrum bias factor ignored Nov 29 23:56: EXTRACT: WARNING - Aperture 115: Nov 29 23:56: Total variance weighted spectrum flux is 12453.38 Nov 29 23:56: Total unweighted spectrum flux is -601.2738 Nov 29 23:56: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... A0V.0010 Magnify image A0V.0010 to image A0V.0010. 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.0010,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] A0V.0010 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... A0V.0010 -> noscatA0V.0010 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Nov 29 23:56: EXTRACT: WARNING - Aperture 86: Nov 29 23:56: Total variance weighted spectrum flux is 3011.423 Nov 29 23:56: Total unweighted spectrum flux is 213.2466 Nov 29 23:56: EXTRACT: Aperture 86 variance spectrum bias factor is 0.07081258 Nov 29 23:56: EXTRACT: WARNING - Aperture 87: Nov 29 23:56: Total variance weighted spectrum flux is 8970.063 Nov 29 23:56: Total unweighted spectrum flux is 2287.708 Nov 29 23:56: EXTRACT: Aperture 87 variance spectrum bias factor is 0.2550382 Nov 29 23:56: EXTRACT: WARNING - Aperture 88: Nov 29 23:56: Total variance weighted spectrum flux is 7858.539 Nov 29 23:56: Total unweighted spectrum flux is 2696.548 Nov 29 23:56: EXTRACT: Aperture 88 variance spectrum bias factor is 0.3431361 Nov 29 23:56: EXTRACT: WARNING - Aperture 89: Nov 29 23:56: Total variance weighted spectrum flux is 9448.614 Nov 29 23:56: Total unweighted spectrum flux is 1469.464 Nov 29 23:56: EXTRACT: Aperture 89 variance spectrum bias factor is 0.1555216 Nov 29 23:56: EXTRACT: WARNING - Aperture 90: Nov 29 23:56: Total variance weighted spectrum flux is 5583.937 Nov 29 23:56: Total unweighted spectrum flux is 1331.988 Nov 29 23:56: EXTRACT: Aperture 90 variance spectrum bias factor is 0.2385392 Nov 29 23:56: EXTRACT: WARNING - Aperture 91: Nov 29 23:56: Total variance weighted spectrum flux is 3544.978 Nov 29 23:56: Total unweighted spectrum flux is 642.2161 Nov 29 23:56: EXTRACT: Aperture 91 variance spectrum bias factor is 0.1811622 Nov 29 23:56: EXTRACT: WARNING - Aperture 92: Nov 29 23:56: Total variance weighted spectrum flux is 8431.927 Nov 29 23:56: Total unweighted spectrum flux is 2751.668 Nov 29 23:56: EXTRACT: Aperture 92 variance spectrum bias factor is 0.3263392 Nov 29 23:56: EXTRACT: WARNING - Aperture 93: Nov 29 23:56: Total variance weighted spectrum flux is 3847.241 Nov 29 23:56: Total unweighted spectrum flux is 894.7017 Nov 29 23:56: EXTRACT: Aperture 93 variance spectrum bias factor is 0.2325567 Nov 29 23:56: EXTRACT: WARNING - Aperture 94: Nov 29 23:56: Total variance weighted spectrum flux is 6737.169 Nov 29 23:56: Total unweighted spectrum flux is 441.7509 Nov 29 23:56: EXTRACT: Aperture 94 variance spectrum bias factor is 0.06556921 Nov 29 23:56: EXTRACT: WARNING - Aperture 95: Nov 29 23:56: Total variance weighted spectrum flux is 8787.41 Nov 29 23:56: Total unweighted spectrum flux is -468.9142 Nov 29 23:56: Variance spectrum bias factor ignored Nov 29 23:56: EXTRACT: WARNING - Aperture 96: Nov 29 23:56: Total variance weighted spectrum flux is 5356.511 Nov 29 23:56: Total unweighted spectrum flux is 983.9387 Nov 29 23:56: EXTRACT: Aperture 96 variance spectrum bias factor is 0.1836902 Nov 29 23:56: EXTRACT: WARNING - Aperture 97: Nov 29 23:56: Total variance weighted spectrum flux is 9591.489 Nov 29 23:56: Total unweighted spectrum flux is 659.0325 Nov 29 23:56: EXTRACT: Aperture 97 variance spectrum bias factor is 0.06871013 Nov 29 23:56: EXTRACT: WARNING - Aperture 98: Nov 29 23:56: Total variance weighted spectrum flux is 7371.276 Nov 29 23:56: Total unweighted spectrum flux is 1480.587 Nov 29 23:56: EXTRACT: Aperture 98 variance spectrum bias factor is 0.200859 Nov 29 23:56: EXTRACT: WARNING - Aperture 99: Nov 29 23:56: Total variance weighted spectrum flux is 9916.889 Nov 29 23:56: Total unweighted spectrum flux is 377.738 Nov 29 23:56: EXTRACT: Aperture 99 variance spectrum bias factor is 0.03809037 Nov 29 23:56: EXTRACT: WARNING - Aperture 100: Nov 29 23:56: Total variance weighted spectrum flux is 8646.406 Nov 29 23:56: Total unweighted spectrum flux is 290.1645 Nov 29 23:56: EXTRACT: Aperture 100 variance spectrum bias factor is 0.03355897 Nov 29 23:56: EXTRACT: WARNING - Aperture 101: Nov 29 23:56: Total variance weighted spectrum flux is 3747.601 Nov 29 23:56: Total unweighted spectrum flux is 783.5184 Nov 29 23:56: EXTRACT: Aperture 101 variance spectrum bias factor is 0.209072 Nov 29 23:56: EXTRACT: WARNING - Aperture 102: Nov 29 23:56: Total variance weighted spectrum flux is 7927.72 Nov 29 23:56: Total unweighted spectrum flux is 1283.457 Nov 29 23:56: EXTRACT: Aperture 102 variance spectrum bias factor is 0.1618948 Nov 29 23:56: EXTRACT: WARNING - Aperture 103: Nov 29 23:56: Total variance weighted spectrum flux is 6647.114 Nov 29 23:56: Total unweighted spectrum flux is -206.1977 Nov 29 23:56: Variance spectrum bias factor ignored Nov 29 23:56: EXTRACT: WARNING - Aperture 104: Nov 29 23:56: Total variance weighted spectrum flux is 2791.391 Nov 29 23:56: Total unweighted spectrum flux is -754.809 Nov 29 23:56: Variance spectrum bias factor ignored Nov 29 23:56: EXTRACT: WARNING - Aperture 105: Nov 29 23:56: Total variance weighted spectrum flux is 9953.673 Nov 29 23:56: Total unweighted spectrum flux is 621.1899 Nov 29 23:56: EXTRACT: Aperture 105 variance spectrum bias factor is 0.06240811 Nov 29 23:57: EXTRACT: WARNING - Aperture 106: Nov 29 23:57: Total variance weighted spectrum flux is 7581.7 Nov 29 23:57: Total unweighted spectrum flux is 491.4345 Nov 29 23:57: EXTRACT: Aperture 106 variance spectrum bias factor is 0.06481851 Nov 29 23:57: EXTRACT: WARNING - Aperture 107: Nov 29 23:57: Total variance weighted spectrum flux is 3489.657 Nov 29 23:57: Total unweighted spectrum flux is 434.2399 Nov 29 23:57: EXTRACT: Aperture 107 variance spectrum bias factor is 0.1244363 Nov 29 23:57: EXTRACT: WARNING - Aperture 108: Nov 29 23:57: Total variance weighted spectrum flux is 5219.194 Nov 29 23:57: Total unweighted spectrum flux is -1031.757 Nov 29 23:57: Variance spectrum bias factor ignored Nov 29 23:57: EXTRACT: WARNING - Aperture 109: Nov 29 23:57: Total variance weighted spectrum flux is 2580.931 Nov 29 23:57: Total unweighted spectrum flux is -115.617 Nov 29 23:57: Variance spectrum bias factor ignored Nov 29 23:57: EXTRACT: WARNING - Aperture 110: Nov 29 23:57: Total variance weighted spectrum flux is 2265.66 Nov 29 23:57: Total unweighted spectrum flux is -374.7782 Nov 29 23:57: Variance spectrum bias factor ignored Nov 29 23:57: EXTRACT: WARNING - Aperture 111: Nov 29 23:57: Total variance weighted spectrum flux is 3667.576 Nov 29 23:57: Total unweighted spectrum flux is 338.7903 Nov 29 23:57: EXTRACT: Aperture 111 variance spectrum bias factor is 0.09237444 Nov 29 23:57: EXTRACT: WARNING - Aperture 112: Nov 29 23:57: Total variance weighted spectrum flux is 7143.926 Nov 29 23:57: Total unweighted spectrum flux is 2359.011 Nov 29 23:57: EXTRACT: Aperture 112 variance spectrum bias factor is 0.3302122 Nov 29 23:57: EXTRACT: WARNING - Aperture 113: Nov 29 23:57: Total variance weighted spectrum flux is 2690.824 Nov 29 23:57: Total unweighted spectrum flux is -2.32716 Nov 29 23:57: Variance spectrum bias factor ignored Nov 29 23:57: EXTRACT: WARNING - Aperture 114: Nov 29 23:57: Total variance weighted spectrum flux is 2210.129 Nov 29 23:57: Total unweighted spectrum flux is -176.8831 Nov 29 23:57: Variance spectrum bias factor ignored Nov 29 23:57: EXTRACT: WARNING - Aperture 115: Nov 29 23:57: Total variance weighted spectrum flux is 2281.006 Nov 29 23:57: Total unweighted spectrum flux is 23.27996 Nov 29 23:57: EXTRACT: Aperture 115 variance spectrum bias factor is 0.01020601 Resampling the object by a factor of 4 in the y direction... A0V.0011 Magnify image A0V.0011 to image A0V.0011. 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.0011,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] A0V.0011 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... A0V.0011 -> noscatA0V.0011 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Nov 29 23:57: EXTRACT: WARNING - Aperture 100: Nov 29 23:57: Total variance weighted spectrum flux is 13403.48 Nov 29 23:57: Total unweighted spectrum flux is 4052.021 Nov 29 23:57: EXTRACT: Aperture 100 variance spectrum bias factor is 0.3023111 Nov 29 23:57: EXTRACT: WARNING - Aperture 102: Nov 29 23:57: Total variance weighted spectrum flux is 8381.11 Nov 29 23:57: Total unweighted spectrum flux is 2012.764 Nov 29 23:57: EXTRACT: Aperture 102 variance spectrum bias factor is 0.2401548 Nov 29 23:57: EXTRACT: WARNING - Aperture 103: Nov 29 23:57: Total variance weighted spectrum flux is 15655.12 Nov 29 23:57: Total unweighted spectrum flux is 6601.227 Nov 29 23:57: EXTRACT: Aperture 103 variance spectrum bias factor is 0.4216658 Nov 29 23:57: EXTRACT: WARNING - Aperture 104: Nov 29 23:57: Total variance weighted spectrum flux is 10191.71 Nov 29 23:57: Total unweighted spectrum flux is 2065.667 Nov 29 23:57: EXTRACT: Aperture 104 variance spectrum bias factor is 0.2026812 Nov 29 23:57: EXTRACT: WARNING - Aperture 105: Nov 29 23:57: Total variance weighted spectrum flux is 4688.994 Nov 29 23:57: Total unweighted spectrum flux is -126.731 Nov 29 23:57: Variance spectrum bias factor ignored Nov 29 23:57: EXTRACT: WARNING - Aperture 106: Nov 29 23:57: Total variance weighted spectrum flux is 10333.04 Nov 29 23:57: Total unweighted spectrum flux is -1031.391 Nov 29 23:57: Variance spectrum bias factor ignored Nov 29 23:57: EXTRACT: WARNING - Aperture 107: Nov 29 23:57: Total variance weighted spectrum flux is 15584.69 Nov 29 23:57: Total unweighted spectrum flux is 1585.188 Nov 29 23:57: EXTRACT: Aperture 107 variance spectrum bias factor is 0.1017144 Nov 29 23:57: EXTRACT: WARNING - Aperture 108: Nov 29 23:57: Total variance weighted spectrum flux is 4257.398 Nov 29 23:57: Total unweighted spectrum flux is -157.6951 Nov 29 23:57: Variance spectrum bias factor ignored Nov 29 23:57: EXTRACT: WARNING - Aperture 109: Nov 29 23:57: Total variance weighted spectrum flux is 8328.728 Nov 29 23:57: Total unweighted spectrum flux is 234.9201 Nov 29 23:57: EXTRACT: Aperture 109 variance spectrum bias factor is 0.028206 Nov 29 23:57: EXTRACT: WARNING - Aperture 110: Nov 29 23:57: Total variance weighted spectrum flux is 8149.616 Nov 29 23:57: Total unweighted spectrum flux is -245.3512 Nov 29 23:57: Variance spectrum bias factor ignored Nov 29 23:57: EXTRACT: WARNING - Aperture 111: Nov 29 23:57: Total variance weighted spectrum flux is 7054.303 Nov 29 23:57: Total unweighted spectrum flux is 1514.93 Nov 29 23:57: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2147527 Nov 29 23:57: EXTRACT: WARNING - Aperture 112: Nov 29 23:57: Total variance weighted spectrum flux is 4992.424 Nov 29 23:57: Total unweighted spectrum flux is -54.28922 Nov 29 23:57: Variance spectrum bias factor ignored Nov 29 23:57: EXTRACT: WARNING - Aperture 113: Nov 29 23:57: Total variance weighted spectrum flux is 5971.878 Nov 29 23:57: Total unweighted spectrum flux is 90.6545 Nov 29 23:57: EXTRACT: Aperture 113 variance spectrum bias factor is 0.01518023 Nov 29 23:57: EXTRACT: WARNING - Aperture 114: Nov 29 23:57: Total variance weighted spectrum flux is 456.8195 Nov 29 23:57: Total unweighted spectrum flux is -863.1092 Nov 29 23:57: Variance spectrum bias factor ignored Nov 29 23:57: EXTRACT: WARNING - Aperture 115: Nov 29 23:57: Total variance weighted spectrum flux is 7888.187 Nov 29 23:57: Total unweighted spectrum flux is -6169.833 Nov 29 23:57: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... A0V.0012 Magnify image A0V.0012 to image A0V.0012. 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.0012,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] A0V.0012 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... A0V.0012 -> noscatA0V.0012 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Nov 29 23:58: EXTRACT: WARNING - Aperture 102: Nov 29 23:58: Total variance weighted spectrum flux is 13360.91 Nov 29 23:58: Total unweighted spectrum flux is 5018.881 Nov 29 23:58: EXTRACT: Aperture 102 variance spectrum bias factor is 0.375639 Nov 29 23:58: EXTRACT: WARNING - Aperture 103: Nov 29 23:58: Total variance weighted spectrum flux is 14589.53 Nov 29 23:58: Total unweighted spectrum flux is 4749.23 Nov 29 23:58: EXTRACT: Aperture 103 variance spectrum bias factor is 0.3255231 Nov 29 23:58: EXTRACT: WARNING - Aperture 104: Nov 29 23:58: Total variance weighted spectrum flux is 6251.629 Nov 29 23:58: Total unweighted spectrum flux is 2286.18 Nov 29 23:58: EXTRACT: Aperture 104 variance spectrum bias factor is 0.3656935 Nov 29 23:58: EXTRACT: WARNING - Aperture 105: Nov 29 23:58: Total variance weighted spectrum flux is 16223.55 Nov 29 23:58: Total unweighted spectrum flux is 4656.63 Nov 29 23:58: EXTRACT: Aperture 105 variance spectrum bias factor is 0.2870291 Nov 29 23:58: EXTRACT: WARNING - Aperture 106: Nov 29 23:58: Total variance weighted spectrum flux is 9909.202 Nov 29 23:58: Total unweighted spectrum flux is 2368.36 Nov 29 23:58: EXTRACT: Aperture 106 variance spectrum bias factor is 0.2390061 Nov 29 23:58: EXTRACT: WARNING - Aperture 107: Nov 29 23:58: Total variance weighted spectrum flux is 9067.184 Nov 29 23:58: Total unweighted spectrum flux is 3449.646 Nov 29 23:58: EXTRACT: Aperture 107 variance spectrum bias factor is 0.380454 Nov 29 23:58: EXTRACT: WARNING - Aperture 108: Nov 29 23:58: Total variance weighted spectrum flux is 12971.55 Nov 29 23:58: Total unweighted spectrum flux is 2063.356 Nov 29 23:58: EXTRACT: Aperture 108 variance spectrum bias factor is 0.1590678 Nov 29 23:58: EXTRACT: WARNING - Aperture 109: Nov 29 23:58: Total variance weighted spectrum flux is 5663.688 Nov 29 23:58: Total unweighted spectrum flux is -968.0127 Nov 29 23:58: Variance spectrum bias factor ignored Nov 29 23:58: EXTRACT: WARNING - Aperture 110: Nov 29 23:58: Total variance weighted spectrum flux is 3994.669 Nov 29 23:58: Total unweighted spectrum flux is -473.7196 Nov 29 23:58: Variance spectrum bias factor ignored Nov 29 23:58: EXTRACT: WARNING - Aperture 111: Nov 29 23:58: Total variance weighted spectrum flux is 12491.66 Nov 29 23:58: Total unweighted spectrum flux is 1060.013 Nov 29 23:58: EXTRACT: Aperture 111 variance spectrum bias factor is 0.08485762 Nov 29 23:58: EXTRACT: WARNING - Aperture 112: Nov 29 23:58: Total variance weighted spectrum flux is 10584.92 Nov 29 23:58: Total unweighted spectrum flux is 1726.428 Nov 29 23:58: EXTRACT: Aperture 112 variance spectrum bias factor is 0.1631027 Nov 29 23:58: EXTRACT: WARNING - Aperture 113: Nov 29 23:58: Total variance weighted spectrum flux is 2614.123 Nov 29 23:58: Total unweighted spectrum flux is -366.865 Nov 29 23:58: Variance spectrum bias factor ignored Nov 29 23:58: EXTRACT: WARNING - Aperture 115: Nov 29 23:58: Total variance weighted spectrum flux is 3674.22 Nov 29 23:58: Total unweighted spectrum flux is -1235.669 Nov 29 23:58: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... A0V.0013 Magnify image A0V.0013 to image A0V.0013. 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.0013,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] A0V.0013 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... A0V.0013 -> noscatA0V.0013 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Nov 29 23:59: EXTRACT: WARNING - Aperture 104: Nov 29 23:59: Total variance weighted spectrum flux is 6595.214 Nov 29 23:59: Total unweighted spectrum flux is 2489.833 Nov 29 23:59: EXTRACT: Aperture 104 variance spectrum bias factor is 0.3775212 Nov 29 23:59: EXTRACT: WARNING - Aperture 105: Nov 29 23:59: Total variance weighted spectrum flux is 11227.96 Nov 29 23:59: Total unweighted spectrum flux is 4815.621 Nov 29 23:59: EXTRACT: Aperture 105 variance spectrum bias factor is 0.4288956 Nov 29 23:59: EXTRACT: WARNING - Aperture 106: Nov 29 23:59: Total variance weighted spectrum flux is 8896.273 Nov 29 23:59: Total unweighted spectrum flux is 219.1618 Nov 29 23:59: EXTRACT: Aperture 106 variance spectrum bias factor is 0.02463523 Nov 29 23:59: EXTRACT: WARNING - Aperture 107: Nov 29 23:59: Total variance weighted spectrum flux is 8962.667 Nov 29 23:59: Total unweighted spectrum flux is 980.2438 Nov 29 23:59: EXTRACT: Aperture 107 variance spectrum bias factor is 0.1093697 Nov 29 23:59: EXTRACT: WARNING - Aperture 108: Nov 29 23:59: Total variance weighted spectrum flux is 8317.272 Nov 29 23:59: Total unweighted spectrum flux is 2025.445 Nov 29 23:59: EXTRACT: Aperture 108 variance spectrum bias factor is 0.2435227 Nov 29 23:59: EXTRACT: WARNING - Aperture 109: Nov 29 23:59: Total variance weighted spectrum flux is 11415.06 Nov 29 23:59: Total unweighted spectrum flux is 2975.929 Nov 29 23:59: EXTRACT: Aperture 109 variance spectrum bias factor is 0.2607021 Nov 29 23:59: EXTRACT: WARNING - Aperture 110: Nov 29 23:59: Total variance weighted spectrum flux is 7955.041 Nov 29 23:59: Total unweighted spectrum flux is 2430.208 Nov 29 23:59: EXTRACT: Aperture 110 variance spectrum bias factor is 0.3054928 Nov 29 23:59: EXTRACT: WARNING - Aperture 111: Nov 29 23:59: Total variance weighted spectrum flux is 6162.88 Nov 29 23:59: Total unweighted spectrum flux is 683.5137 Nov 29 23:59: EXTRACT: Aperture 111 variance spectrum bias factor is 0.1109082 Nov 29 23:59: EXTRACT: WARNING - Aperture 112: Nov 29 23:59: Total variance weighted spectrum flux is 1019.59 Nov 29 23:59: Total unweighted spectrum flux is 87.23944 Nov 29 23:59: EXTRACT: Aperture 112 variance spectrum bias factor is 0.08556329 Nov 29 23:59: EXTRACT: WARNING - Aperture 113: Nov 29 23:59: Total variance weighted spectrum flux is 3333.217 Nov 29 23:59: Total unweighted spectrum flux is 987.7595 Nov 29 23:59: EXTRACT: Aperture 113 variance spectrum bias factor is 0.2963382 Nov 29 23:59: EXTRACT: WARNING - Aperture 114: Nov 29 23:59: Total variance weighted spectrum flux is 3120.484 Nov 29 23:59: Total unweighted spectrum flux is 202.926 Nov 29 23:59: EXTRACT: Aperture 114 variance spectrum bias factor is 0.06503028 Nov 29 23:59: EXTRACT: WARNING - Aperture 115: Nov 29 23:59: Total variance weighted spectrum flux is 3743.532 Nov 29 23:59: Total unweighted spectrum flux is -628.0511 Nov 29 23:59: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... Venus_day.0014 Magnify image Venus_day.0014 to image Venus_day.0014. 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.0014,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] Venus_day.0014 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... Venus_day.0014 -> noscatVenus_day.0014 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Nov 30 0:00: EXTRACT: WARNING - Aperture 104: Nov 30 0:00: Total variance weighted spectrum flux is 10872.22 Nov 30 0:00: Total unweighted spectrum flux is 4285.764 Nov 30 0:00: EXTRACT: Aperture 104 variance spectrum bias factor is 0.3941941 Nov 30 0:00: EXTRACT: WARNING - Aperture 105: Nov 30 0:00: Total variance weighted spectrum flux is 25278.15 Nov 30 0:00: Total unweighted spectrum flux is 8067.231 Nov 30 0:00: EXTRACT: Aperture 105 variance spectrum bias factor is 0.3191385 Nov 30 0:00: EXTRACT: WARNING - Aperture 106: Nov 30 0:00: Total variance weighted spectrum flux is 15125.18 Nov 30 0:00: Total unweighted spectrum flux is 4056.014 Nov 30 0:00: EXTRACT: Aperture 106 variance spectrum bias factor is 0.2681631 Nov 30 0:00: EXTRACT: WARNING - Aperture 107: Nov 30 0:00: Total variance weighted spectrum flux is 9924.627 Nov 30 0:00: Total unweighted spectrum flux is 4319.694 Nov 30 0:00: EXTRACT: Aperture 107 variance spectrum bias factor is 0.43525 Nov 30 0:00: EXTRACT: WARNING - Aperture 108: Nov 30 0:00: Total variance weighted spectrum flux is 28748.39 Nov 30 0:00: Total unweighted spectrum flux is 7462.831 Nov 30 0:00: EXTRACT: Aperture 108 variance spectrum bias factor is 0.2595913 Nov 30 0:00: EXTRACT: WARNING - Aperture 109: Nov 30 0:00: Total variance weighted spectrum flux is 13750.37 Nov 30 0:00: Total unweighted spectrum flux is 3413.65 Nov 30 0:00: EXTRACT: Aperture 109 variance spectrum bias factor is 0.2482588 Nov 30 0:00: EXTRACT: WARNING - Aperture 110: Nov 30 0:00: Total variance weighted spectrum flux is 23185.88 Nov 30 0:00: Total unweighted spectrum flux is 6995.938 Nov 30 0:00: EXTRACT: Aperture 110 variance spectrum bias factor is 0.3017327 Nov 30 0:00: EXTRACT: WARNING - Aperture 111: Nov 30 0:00: Total variance weighted spectrum flux is 10811.08 Nov 30 0:00: Total unweighted spectrum flux is -31.68782 Nov 30 0:00: Variance spectrum bias factor ignored Nov 30 0:00: EXTRACT: WARNING - Aperture 112: Nov 30 0:00: Total variance weighted spectrum flux is 9148.768 Nov 30 0:00: Total unweighted spectrum flux is -1910.517 Nov 30 0:00: Variance spectrum bias factor ignored Nov 30 0:00: EXTRACT: WARNING - Aperture 113: Nov 30 0:00: Total variance weighted spectrum flux is 1612.336 Nov 30 0:00: Total unweighted spectrum flux is -4744.146 Nov 30 0:00: Variance spectrum bias factor ignored Nov 30 0:00: EXTRACT: WARNING - Aperture 114: Nov 30 0:00: Total variance weighted spectrum flux is 6503.961 Nov 30 0:00: Total unweighted spectrum flux is 1656.973 Nov 30 0:00: EXTRACT: Aperture 114 variance spectrum bias factor is 0.2547637 Nov 30 0:00: EXTRACT: WARNING - Aperture 115: Nov 30 0:00: Total variance weighted spectrum flux is 7943.408 Nov 30 0:00: Total unweighted spectrum flux is -826.5812 Nov 30 0:00: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... Venus_day.0015 Magnify image Venus_day.0015 to image Venus_day.0015. 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.0015,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] Venus_day.0015 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... Venus_day.0015 -> noscatVenus_day.0015 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Nov 30 0:00: EXTRACT: WARNING - Aperture 100: Nov 30 0:00: Total variance weighted spectrum flux is 17059.57 Nov 30 0:00: Total unweighted spectrum flux is 7220.846 Nov 30 0:00: EXTRACT: Aperture 100 variance spectrum bias factor is 0.4232723 Nov 30 0:00: EXTRACT: WARNING - Aperture 103: Nov 30 0:00: Total variance weighted spectrum flux is 7093.286 Nov 30 0:00: Total unweighted spectrum flux is 3152.92 Nov 30 0:00: EXTRACT: Aperture 103 variance spectrum bias factor is 0.4444935 Nov 30 0:00: EXTRACT: WARNING - Aperture 104: Nov 30 0:00: Total variance weighted spectrum flux is 6321.683 Nov 30 0:00: Total unweighted spectrum flux is 977.6407 Nov 30 0:00: EXTRACT: Aperture 104 variance spectrum bias factor is 0.1546488 Nov 30 0:00: EXTRACT: WARNING - Aperture 105: Nov 30 0:00: Total variance weighted spectrum flux is 18108.5 Nov 30 0:00: Total unweighted spectrum flux is 5815.398 Nov 30 0:00: EXTRACT: Aperture 105 variance spectrum bias factor is 0.3211419 Nov 30 0:00: EXTRACT: WARNING - Aperture 106: Nov 30 0:00: Total variance weighted spectrum flux is 10177.81 Nov 30 0:00: Total unweighted spectrum flux is 1433.574 Nov 30 0:00: EXTRACT: Aperture 106 variance spectrum bias factor is 0.1408529 Nov 30 0:00: EXTRACT: WARNING - Aperture 107: Nov 30 0:00: Total variance weighted spectrum flux is 13676.83 Nov 30 0:00: Total unweighted spectrum flux is -1775.821 Nov 30 0:00: Variance spectrum bias factor ignored Nov 30 0:00: EXTRACT: WARNING - Aperture 109: Nov 30 0:00: Total variance weighted spectrum flux is 4344.414 Nov 30 0:00: Total unweighted spectrum flux is -158.7419 Nov 30 0:00: Variance spectrum bias factor ignored Nov 30 0:00: EXTRACT: WARNING - Aperture 110: Nov 30 0:00: Total variance weighted spectrum flux is 7758.146 Nov 30 0:00: Total unweighted spectrum flux is -279.0857 Nov 30 0:00: Variance spectrum bias factor ignored Nov 30 0:00: EXTRACT: WARNING - Aperture 111: Nov 30 0:00: Total variance weighted spectrum flux is 5062.329 Nov 30 0:00: Total unweighted spectrum flux is 592.3165 Nov 30 0:00: EXTRACT: Aperture 111 variance spectrum bias factor is 0.1170047 Nov 30 0:00: EXTRACT: WARNING - Aperture 112: Nov 30 0:00: Total variance weighted spectrum flux is 7787.74 Nov 30 0:00: Total unweighted spectrum flux is 2164.218 Nov 30 0:00: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2779007 Nov 30 0:00: EXTRACT: WARNING - Aperture 113: Nov 30 0:00: Total variance weighted spectrum flux is 11812.15 Nov 30 0:00: Total unweighted spectrum flux is -5313.758 Nov 30 0:00: Variance spectrum bias factor ignored Nov 30 0:00: EXTRACT: WARNING - Aperture 114: Nov 30 0:00: Total variance weighted spectrum flux is 2384.228 Nov 30 0:00: Total unweighted spectrum flux is -244.4073 Nov 30 0:00: Variance spectrum bias factor ignored Nov 30 0:00: EXTRACT: WARNING - Aperture 115: Nov 30 0:00: Total variance weighted spectrum flux is 4845.438 Nov 30 0:00: Total unweighted spectrum flux is -1148.006 Nov 30 0:00: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... Venus_day.0016 Magnify image Venus_day.0016 to image Venus_day.0016. 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.0016,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] Venus_day.0016 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... Venus_day.0016 -> noscatVenus_day.0016 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Nov 30 0:01: EXTRACT: WARNING - Aperture 106: Nov 30 0:01: Total variance weighted spectrum flux is 17149.64 Nov 30 0:01: Total unweighted spectrum flux is 8074.339 Nov 30 0:01: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4708167 Nov 30 0:01: EXTRACT: WARNING - Aperture 107: Nov 30 0:01: Total variance weighted spectrum flux is 19877.22 Nov 30 0:01: Total unweighted spectrum flux is 9619.036 Nov 30 0:01: EXTRACT: Aperture 107 variance spectrum bias factor is 0.4839227 Nov 30 0:01: EXTRACT: WARNING - Aperture 108: Nov 30 0:01: Total variance weighted spectrum flux is 8225.917 Nov 30 0:01: Total unweighted spectrum flux is 162.852 Nov 30 0:01: EXTRACT: Aperture 108 variance spectrum bias factor is 0.01979743 Nov 30 0:01: EXTRACT: WARNING - Aperture 109: Nov 30 0:01: Total variance weighted spectrum flux is 15451.66 Nov 30 0:01: Total unweighted spectrum flux is 5493.283 Nov 30 0:01: EXTRACT: Aperture 109 variance spectrum bias factor is 0.355514 Nov 30 0:01: EXTRACT: WARNING - Aperture 110: Nov 30 0:01: Total variance weighted spectrum flux is 10453.79 Nov 30 0:01: Total unweighted spectrum flux is 4318.801 Nov 30 0:01: EXTRACT: Aperture 110 variance spectrum bias factor is 0.4131325 Nov 30 0:01: EXTRACT: WARNING - Aperture 111: Nov 30 0:01: Total variance weighted spectrum flux is 6046.769 Nov 30 0:01: Total unweighted spectrum flux is 2192.853 Nov 30 0:01: EXTRACT: Aperture 111 variance spectrum bias factor is 0.3626487 Nov 30 0:01: EXTRACT: WARNING - Aperture 112: Nov 30 0:01: Total variance weighted spectrum flux is 8316.042 Nov 30 0:01: Total unweighted spectrum flux is 1800.127 Nov 30 0:01: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2164644 Nov 30 0:01: EXTRACT: WARNING - Aperture 113: Nov 30 0:01: Total variance weighted spectrum flux is 5464.579 Nov 30 0:01: Total unweighted spectrum flux is -5162.758 Nov 30 0:01: Variance spectrum bias factor ignored Nov 30 0:01: EXTRACT: WARNING - Aperture 114: Nov 30 0:01: Total variance weighted spectrum flux is 4588.543 Nov 30 0:01: Total unweighted spectrum flux is 1712.129 Nov 30 0:01: EXTRACT: Aperture 114 variance spectrum bias factor is 0.3731313 Nov 30 0:01: EXTRACT: WARNING - Aperture 115: Nov 30 0:01: Total variance weighted spectrum flux is 11749.62 Nov 30 0:01: Total unweighted spectrum flux is -4528.753 Nov 30 0:01: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... Venus_day.0017 Magnify image Venus_day.0017 to image Venus_day.0017. 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.0017,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] Venus_day.0017 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... Venus_day.0017 -> noscatVenus_day.0017 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Nov 30 0:02: EXTRACT: WARNING - Aperture 110: Nov 30 0:02: Total variance weighted spectrum flux is 9487.41 Nov 30 0:02: Total unweighted spectrum flux is -2032.745 Nov 30 0:02: Variance spectrum bias factor ignored Nov 30 0:02: EXTRACT: WARNING - Aperture 111: Nov 30 0:02: Total variance weighted spectrum flux is 12594.46 Nov 30 0:02: Total unweighted spectrum flux is 4541.27 Nov 30 0:02: EXTRACT: Aperture 111 variance spectrum bias factor is 0.3605768 Nov 30 0:02: EXTRACT: WARNING - Aperture 112: Nov 30 0:02: Total variance weighted spectrum flux is 9357.269 Nov 30 0:02: Total unweighted spectrum flux is 2055.686 Nov 30 0:02: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2196887 Nov 30 0:02: EXTRACT: WARNING - Aperture 113: Nov 30 0:02: Total variance weighted spectrum flux is 11302.69 Nov 30 0:02: Total unweighted spectrum flux is 2603.853 Nov 30 0:02: EXTRACT: Aperture 113 variance spectrum bias factor is 0.2303746 Nov 30 0:02: EXTRACT: WARNING - Aperture 115: Nov 30 0:02: Total variance weighted spectrum flux is 12199.91 Nov 30 0:02: Total unweighted spectrum flux is -1295.375 Nov 30 0:02: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... Venus_day.0021 Magnify image Venus_day.0021 to image Venus_day.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 Venus_day.0021,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] Venus_day.0021 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... Venus_day.0021 -> noscatVenus_day.0021 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. 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... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Resampling the object by a factor of 4 in the y direction... Venus_night.0018 Magnify image Venus_night.0018 to image Venus_night.0018. 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.0018,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] Venus_night.0018 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... Venus_night.0018 -> noscatVenus_night.0018 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Resampling the object by a factor of 4 in the y direction... Venus_night.0019 Magnify image Venus_night.0019 to image Venus_night.0019. 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.0019,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] Venus_night.0019 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... Venus_night.0019 -> noscatVenus_night.0019 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Resampling the object by a factor of 4 in the y direction... sky.0020 Magnify image sky.0020 to image sky.0020. 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 sky.0020,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] sky.0020 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... sky.0020 -> noscatsky.0020 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. add ThAr.0023.ec.fits,REFSPEC1 = ThAr.0023.ec.fits ThAr.0023.ec.fits updated add ThAr.0024.ec.fits,REFSPEC1 = ThAr.0024.ec.fits ThAr.0024.ec.fits updated Flatfielding extracted arcs and object spectra... add ThAr.0023.ec.fits,UTMIDDLE = 0 ThAr.0023.ec.fits updated ThAr.0023.ec.fits,UTMIDDLE: 0 -> 12:25:44.763749 ThAr.0023.ec.fits updated add ThAr.0024.ec.fits,UTMIDDLE = 0 ThAr.0024.ec.fits updated ThAr.0024.ec.fits,UTMIDDLE: 0 -> 12:29:03.791019 ThAr.0024.ec.fits updated add A0V.0001.ec.fits,UTMIDDLE = 0 A0V.0001.ec.fits updated A0V.0001.ec.fits,UTMIDDLE: 0 -> 10:30:04.594246 A0V.0001.ec.fits updated add A0V.0002.ec.fits,UTMIDDLE = 0 A0V.0002.ec.fits updated A0V.0002.ec.fits,UTMIDDLE: 0 -> 10:35:14.991771 A0V.0002.ec.fits updated add A0V.0003.ec.fits,UTMIDDLE = 0 A0V.0003.ec.fits updated A0V.0003.ec.fits,UTMIDDLE: 0 -> 10:42:41.582774 A0V.0003.ec.fits updated add A0V.0004.ec.fits,UTMIDDLE = 0 A0V.0004.ec.fits updated A0V.0004.ec.fits,UTMIDDLE: 0 -> 10:48:13.890761 A0V.0004.ec.fits updated add A0V.0005.ec.fits,UTMIDDLE = 0 A0V.0005.ec.fits updated A0V.0005.ec.fits,UTMIDDLE: 0 -> 10:53:46.168208 A0V.0005.ec.fits updated add A0V.0006.ec.fits,UTMIDDLE = 0 A0V.0006.ec.fits updated A0V.0006.ec.fits,UTMIDDLE: 0 -> 11:03:05.391753 A0V.0006.ec.fits updated add A0V.0007.ec.fits,UTMIDDLE = 0 A0V.0007.ec.fits updated A0V.0007.ec.fits,UTMIDDLE: 0 -> 11:08:10.386025 A0V.0007.ec.fits updated add A0V.0008.ec.fits,UTMIDDLE = 0 A0V.0008.ec.fits updated A0V.0008.ec.fits,UTMIDDLE: 0 -> 11:13:00.724196 A0V.0008.ec.fits updated add A0V.0009.ec.fits,UTMIDDLE = 0 A0V.0009.ec.fits updated A0V.0009.ec.fits,UTMIDDLE: 0 -> 11:17:34.144124 A0V.0009.ec.fits updated add A0V.0010.ec.fits,UTMIDDLE = 0 A0V.0010.ec.fits updated A0V.0010.ec.fits,UTMIDDLE: 0 -> 11:21:54.858993 A0V.0010.ec.fits updated add A0V.0011.ec.fits,UTMIDDLE = 0 A0V.0011.ec.fits updated A0V.0011.ec.fits,UTMIDDLE: 0 -> 11:26:48.138735 A0V.0011.ec.fits updated add A0V.0012.ec.fits,UTMIDDLE = 0 A0V.0012.ec.fits updated A0V.0012.ec.fits,UTMIDDLE: 0 -> 11:32:38.384781 A0V.0012.ec.fits updated add A0V.0013.ec.fits,UTMIDDLE = 0 A0V.0013.ec.fits updated A0V.0013.ec.fits,UTMIDDLE: 0 -> 11:38:12.064772 A0V.0013.ec.fits updated add Venus_day.0014.ec.fits,UTMIDDLE = 0 Venus_day.0014.ec.fits updated Venus_day.0014.ec.fits,UTMIDDLE: 0 -> 11:43:00.667396 Venus_day.0014.ec.fits updated add Venus_day.0015.ec.fits,UTMIDDLE = 0 Venus_day.0015.ec.fits updated Venus_day.0015.ec.fits,UTMIDDLE: 0 -> 11:45:50.207390 Venus_day.0015.ec.fits updated add Venus_day.0016.ec.fits,UTMIDDLE = 0 Venus_day.0016.ec.fits updated Venus_day.0016.ec.fits,UTMIDDLE: 0 -> 11:48:34.884437 Venus_day.0016.ec.fits updated add Venus_day.0017.ec.fits,UTMIDDLE = 0 Venus_day.0017.ec.fits updated Venus_day.0017.ec.fits,UTMIDDLE: 0 -> 11:51:22.122426 Venus_day.0017.ec.fits updated add Venus_day.0021.ec.fits,UTMIDDLE = 0 Venus_day.0021.ec.fits updated Venus_day.0021.ec.fits,UTMIDDLE: 0 -> 12:20:08.984466 Venus_day.0021.ec.fits updated add Venus_day.0022.ec.fits,UTMIDDLE = 0 Venus_day.0022.ec.fits updated Venus_day.0022.ec.fits,UTMIDDLE: 0 -> 12:22:44.521382 Venus_day.0022.ec.fits updated add Venus_night.0018.ec.fits,UTMIDDLE = 0 Venus_night.0018.ec.fits updated Venus_night.0018.ec.fits,UTMIDDLE: 0 -> 11:59:44.196030 Venus_night.0018.ec.fits updated add Venus_night.0019.ec.fits,UTMIDDLE = 0 Venus_night.0019.ec.fits updated Venus_night.0019.ec.fits,UTMIDDLE: 0 -> 12:10:52.460721 Venus_night.0019.ec.fits updated add sky.0020.ec.fits,UTMIDDLE = 0 sky.0020.ec.fits updated sky.0020.ec.fits,UTMIDDLE: 0 -> 12:17:15.595766 sky.0020.ec.fits updated Setting Julian Date Keywords # Image jd hjd ljd # SETJD: Observatory parameters for Apache Point Observatory # timezone = 7 A0V.0001.ec.fits 2457859.93755 2457859.93574 2457859 A0V.0002.ec.fits 2457859.94115 2457859.93934 2457859 A0V.0003.ec.fits 2457859.94631 2457859.94451 2457859 A0V.0004.ec.fits 2457859.95016 2457859.94835 2457859 A0V.0005.ec.fits 2457859.95401 2457859.95220 2457859 A0V.0006.ec.fits 2457859.96048 2457859.95677 2457859 A0V.0007.ec.fits 2457859.96401 2457859.96030 2457859 A0V.0008.ec.fits 2457859.96737 2457859.96366 2457859 A0V.0009.ec.fits 2457859.97053 2457859.96683 2457859 A0V.0010.ec.fits 2457859.97355 2457859.96991 2457859 A0V.0011.ec.fits 2457859.97695 2457859.97331 2457859 A0V.0012.ec.fits 2457859.98100 2457859.97736 2457859 A0V.0013.ec.fits 2457859.98486 2457859.98122 2457859 Venus_day.0014.ec.fits 2457859.98820 2457859.98319 2457859 Venus_day.0015.ec.fits 2457859.99016 2457859.98515 2457859 Venus_day.0016.ec.fits 2457859.99207 2457859.98706 2457859 Venus_day.0017.ec.fits 2457859.99401 2457859.98899 2457859 Venus_day.0021.ec.fits 2457860.01399 2457860.00898 2457859 Venus_day.0022.ec.fits 2457860.01579 2457860.01078 2457859 Venus_night.0018.ec.fits 2457859.99982 2457859.99480 2457859 Venus_night.0019.ec.fits 2457860.00755 2457860.00254 2457859 sky.0020.ec.fits 2457860.01199 2457860.00697 2457859 ECREIDENTIFY: NOAO/IRAF V2.16.1 candaceg@denebola.nmsu.edu Thu 00:06:32 30-Nov-2017 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS ThAr.0023.ec 1907/2055 1907/1907 -0.757 5.58 9.86E-6 0.0104 ThAr.0024.ec 2040/2055 2040/2040 -0.761 5.61 9.91E-6 0.00765 [A0V.0001.ec] refspec1='ThAr.0023.ec' [A0V.0002.ec] refspec1='ThAr.0023.ec' [A0V.0003.ec] refspec1='ThAr.0023.ec' [A0V.0004.ec] refspec1='ThAr.0023.ec' [A0V.0005.ec] refspec1='ThAr.0023.ec' [A0V.0006.ec] refspec1='ThAr.0023.ec' [A0V.0007.ec] refspec1='ThAr.0023.ec' [A0V.0008.ec] refspec1='ThAr.0023.ec' [A0V.0009.ec] refspec1='ThAr.0023.ec' [A0V.0010.ec] refspec1='ThAr.0023.ec' [A0V.0011.ec] refspec1='ThAr.0023.ec' [A0V.0012.ec] refspec1='ThAr.0023.ec' [A0V.0013.ec] refspec1='ThAr.0023.ec' [Venus_day.0014.ec] refspec1='ThAr.0023.ec' [Venus_day.0015.ec] refspec1='ThAr.0023.ec' [Venus_day.0016.ec] refspec1='ThAr.0023.ec' [Venus_day.0017.ec] refspec1='ThAr.0023.ec' [Venus_day.0021.ec] refspec1='ThAr.0023.ec' [Venus_day.0022.ec] refspec1='ThAr.0023.ec' [Venus_night.0018.ec] refspec1='ThAr.0023.ec' [Venus_night.0019.ec] refspec1='ThAr.0023.ec' [sky.0020.ec] refspec1='ThAr.0023.ec' [ThAr.0023.ec] refspec1='ThAr.0023.ec' [ThAr.0024.ec] refspec1='ThAr.0024.ec' A0V.0001.ec.fits: REFSPEC1 = 'ThAr.0023.ec 1.' A0V.0001.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.46, dw = -0.1383, nw = 1651 A0V.0001.ec.fits: ap = 2, w1 = 10611.46, w2 = 10387.49, dw = -0.13574, nw = 1651 A0V.0001.ec.fits: ap = 3, w1 = 10418.54, w2 = 10198.64, dw = -0.13327, nw = 1651 A0V.0001.ec.fits: ap = 4, w1 = 10232.51, w2 = 10016.54, dw = -0.13089, nw = 1651 A0V.0001.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.829, dw = -0.12859, nw = 1651 A0V.0001.ec.fits: ap = 6, w1 = 9879.694, w2 = 9671.176, dw = -0.12637, nw = 1651 A0V.0001.ec.fits: ap = 7, w1 = 9712.255, w2 = 9507.273, dw = -0.12423, nw = 1651 A0V.0001.ec.fits: ap = 8, w1 = 9550.397, w2 = 9348.834, dw = -0.12216, nw = 1651 A0V.0001.ec.fits: ap = 9, w1 = 9393.846, w2 = 9195.589, dw = -0.12016, nw = 1651 A0V.0001.ec.fits: ap = 10, w1 = 9242.345, w2 = 9047.287, dw = -0.11822, nw = 1651 A0V.0001.ec.fits: ap = 11, w1 = 9095.654, w2 = 8903.694, dw = -0.11634, nw = 1651 A0V.0001.ec.fits: ap = 12, w1 = 8953.546, w2 = 8764.587, dw = -0.11452, nw = 1651 A0V.0001.ec.fits: ap = 13, w1 = 8815.811, w2 = 8629.761, dw = -0.11276, nw = 1651 A0V.0001.ec.fits: ap = 14, w1 = 8682.25, w2 = 8499.021, dw = -0.11105, nw = 1651 A0V.0001.ec.fits: ap = 15, w1 = 8552.676, w2 = 8372.183, dw = -0.10939, nw = 1651 A0V.0001.ec.fits: ap = 16, w1 = 8426.912, w2 = 8249.075, dw = -0.10778, nw = 1651 A0V.0001.ec.fits: ap = 17, w1 = 8304.794, w2 = 8129.536, dw = -0.10622, nw = 1651 A0V.0001.ec.fits: ap = 18, w1 = 8186.165, w2 = 8013.412, dw = -0.1047, nw = 1651 A0V.0001.ec.fits: ap = 19, w1 = 8070.877, w2 = 7900.559, dw = -0.10322, nw = 1651 A0V.0001.ec.fits: ap = 20, w1 = 7958.792, w2 = 7790.841, dw = -0.10179, nw = 1651 A0V.0001.ec.fits: ap = 21, w1 = 7849.778, w2 = 7684.129, dw = -0.10039, nw = 1651 A0V.0001.ec.fits: ap = 22, w1 = 7743.71, w2 = 7580.301, dw = -0.09904, nw = 1651 A0V.0001.ec.fits: ap = 23, w1 = 7640.47, w2 = 7479.242, dw = -0.09771, nw = 1651 A0V.0001.ec.fits: ap = 24, w1 = 7539.947, w2 = 7380.842, dw = -0.09643, nw = 1651 A0V.0001.ec.fits: ap = 25, w1 = 7442.036, w2 = 7284.998, dw = -0.09517, nw = 1651 A0V.0001.ec.fits: ap = 26, w1 = 7346.634, w2 = 7191.612, dw = -0.09395, nw = 1651 A0V.0001.ec.fits: ap = 27, w1 = 7253.648, w2 = 7100.59, dw = -0.09276, nw = 1651 A0V.0001.ec.fits: ap = 28, w1 = 7162.987, w2 = 7011.843, dw = -0.0916, nw = 1651 A0V.0001.ec.fits: ap = 29, w1 = 7074.564, w2 = 6925.288, dw = -0.09047, nw = 1651 A0V.0001.ec.fits: ap = 30, w1 = 6988.298, w2 = 6840.844, dw = -0.08937, nw = 1651 A0V.0001.ec.fits: ap = 31, w1 = 6904.11, w2 = 6758.434, dw = -0.08829, nw = 1651 A0V.0001.ec.fits: ap = 32, w1 = 6821.927, w2 = 6677.987, dw = -0.08724, nw = 1651 A0V.0001.ec.fits: ap = 33, w1 = 6741.678, w2 = 6599.433, dw = -0.08621, nw = 1651 A0V.0001.ec.fits: ap = 34, w1 = 6663.295, w2 = 6522.706, dw = -0.08521, nw = 1651 A0V.0001.ec.fits: ap = 35, w1 = 6586.713, w2 = 6447.742, dw = -0.08423, nw = 1651 A0V.0001.ec.fits: ap = 36, w1 = 6511.873, w2 = 6374.482, dw = -0.08327, nw = 1651 A0V.0001.ec.fits: ap = 37, w1 = 6438.714, w2 = 6302.869, dw = -0.08233, nw = 1651 A0V.0001.ec.fits: ap = 38, w1 = 6367.181, w2 = 6232.847, dw = -0.08141, nw = 1651 A0V.0001.ec.fits: ap = 39, w1 = 6297.22, w2 = 6164.364, dw = -0.08052, nw = 1651 A0V.0001.ec.fits: ap = 40, w1 = 6228.78, w2 = 6097.37, dw = -0.07964, nw = 1651 A0V.0001.ec.fits: ap = 41, w1 = 6161.812, w2 = 6031.817, dw = -0.07878, nw = 1651 A0V.0001.ec.fits: ap = 42, w1 = 6096.269, w2 = 5967.659, dw = -0.07795, nw = 1651 A0V.0001.ec.fits: ap = 43, w1 = 6032.105, w2 = 5904.851, dw = -0.07712, nw = 1651 A0V.0001.ec.fits: ap = 44, w1 = 5969.279, w2 = 5843.352, dw = -0.07632, nw = 1651 A0V.0001.ec.fits: ap = 45, w1 = 5907.748, w2 = 5783.121, dw = -0.07553, nw = 1651 A0V.0001.ec.fits: ap = 46, w1 = 5847.473, w2 = 5724.119, dw = -0.07476, nw = 1651 A0V.0001.ec.fits: ap = 47, w1 = 5788.415, w2 = 5666.309, dw = -0.074, nw = 1651 A0V.0001.ec.fits: ap = 48, w1 = 5730.539, w2 = 5609.656, dw = -0.07326, nw = 1651 A0V.0001.ec.fits: ap = 49, w1 = 5673.808, w2 = 5554.124, dw = -0.07254, nw = 1651 A0V.0001.ec.fits: ap = 50, w1 = 5618.191, w2 = 5499.682, dw = -0.07182, nw = 1651 A0V.0001.ec.fits: ap = 51, w1 = 5563.653, w2 = 5446.296, dw = -0.07113, nw = 1651 A0V.0001.ec.fits: ap = 52, w1 = 5510.164, w2 = 5393.938, dw = -0.07044, nw = 1651 A0V.0001.ec.fits: ap = 53, w1 = 5457.694, w2 = 5342.577, dw = -0.06977, nw = 1651 A0V.0001.ec.fits: ap = 54, w1 = 5406.214, w2 = 5292.184, dw = -0.06911, nw = 1651 A0V.0001.ec.fits: ap = 55, w1 = 5355.697, w2 = 5242.734, dw = -0.06846, nw = 1651 A0V.0001.ec.fits: ap = 56, w1 = 5306.115, w2 = 5194.2, dw = -0.06783, nw = 1651 A0V.0001.ec.fits: ap = 57, w1 = 5257.442, w2 = 5146.557, dw = -0.0672, nw = 1651 A0V.0001.ec.fits: ap = 58, w1 = 5209.655, w2 = 5099.779, dw = -0.06659, nw = 1651 A0V.0001.ec.fits: ap = 59, w1 = 5162.729, w2 = 5053.845, dw = -0.06599, nw = 1651 A0V.0001.ec.fits: ap = 60, w1 = 5116.642, w2 = 5008.731, dw = -0.0654, nw = 1651 A0V.0001.ec.fits: ap = 61, w1 = 5071.369, w2 = 4964.416, dw = -0.06482, nw = 1651 A0V.0001.ec.fits: ap = 62, w1 = 5026.892, w2 = 4920.878, dw = -0.06425, nw = 1651 A0V.0001.ec.fits: ap = 63, w1 = 4983.188, w2 = 4878.097, dw = -0.06369, nw = 1651 A0V.0001.ec.fits: ap = 64, w1 = 4940.237, w2 = 4836.054, dw = -0.06314, nw = 1651 A0V.0001.ec.fits: ap = 65, w1 = 4898.021, w2 = 4794.73, dw = -0.0626, nw = 1651 A0V.0001.ec.fits: ap = 66, w1 = 4856.521, w2 = 4754.106, dw = -0.06207, nw = 1651 A0V.0001.ec.fits: ap = 67, w1 = 4815.718, w2 = 4714.166, dw = -0.06155, nw = 1651 A0V.0001.ec.fits: ap = 68, w1 = 4775.595, w2 = 4674.891, dw = -0.06103, nw = 1651 A0V.0001.ec.fits: ap = 69, w1 = 4736.136, w2 = 4636.265, dw = -0.06053, nw = 1651 A0V.0001.ec.fits: ap = 70, w1 = 4697.324, w2 = 4598.272, dw = -0.06003, nw = 1651 A0V.0001.ec.fits: ap = 71, w1 = 4659.142, w2 = 4560.898, dw = -0.05954, nw = 1651 A0V.0001.ec.fits: ap = 72, w1 = 4621.577, w2 = 4524.126, dw = -0.05906, nw = 1651 A0V.0001.ec.fits: ap = 73, w1 = 4584.613, w2 = 4487.943, dw = -0.05859, nw = 1651 A0V.0001.ec.fits: ap = 74, w1 = 4548.236, w2 = 4452.334, dw = -0.05812, nw = 1651 A0V.0001.ec.fits: ap = 75, w1 = 4512.432, w2 = 4417.286, dw = -0.05766, nw = 1651 A0V.0001.ec.fits: ap = 76, w1 = 4477.188, w2 = 4382.786, dw = -0.05721, nw = 1651 A0V.0001.ec.fits: ap = 77, w1 = 4442.49, w2 = 4348.821, dw = -0.05677, nw = 1651 A0V.0001.ec.fits: ap = 78, w1 = 4408.326, w2 = 4315.378, dw = -0.05633, nw = 1651 A0V.0001.ec.fits: ap = 79, w1 = 4374.684, w2 = 4282.447, dw = -0.0559, nw = 1651 A0V.0001.ec.fits: ap = 80, w1 = 4341.552, w2 = 4250.014, dw = -0.05548, nw = 1651 A0V.0001.ec.fits: ap = 81, w1 = 4308.918, w2 = 4218.069, dw = -0.05506, nw = 1651 A0V.0001.ec.fits: ap = 82, w1 = 4276.772, w2 = 4186.601, dw = -0.05465, nw = 1651 A0V.0001.ec.fits: ap = 83, w1 = 4245.102, w2 = 4155.599, dw = -0.05424, nw = 1651 A0V.0001.ec.fits: ap = 84, w1 = 4213.898, w2 = 4125.053, dw = -0.05385, nw = 1651 A0V.0001.ec.fits: ap = 85, w1 = 4183.149, w2 = 4094.953, dw = -0.05345, nw = 1651 A0V.0001.ec.fits: ap = 86, w1 = 4152.847, w2 = 4065.289, dw = -0.05306, nw = 1651 A0V.0001.ec.fits: ap = 87, w1 = 4122.98, w2 = 4036.053, dw = -0.05268, nw = 1651 A0V.0001.ec.fits: ap = 88, w1 = 4093.541, w2 = 4007.234, dw = -0.05231, nw = 1651 A0V.0001.ec.fits: ap = 89, w1 = 4064.519, w2 = 3978.824, dw = -0.05194, nw = 1651 A0V.0001.ec.fits: ap = 90, w1 = 4035.906, w2 = 3950.814, dw = -0.05157, nw = 1651 A0V.0001.ec.fits: ap = 91, w1 = 4007.694, w2 = 3923.196, dw = -0.05121, nw = 1651 A0V.0001.ec.fits: ap = 92, w1 = 3979.874, w2 = 3895.962, dw = -0.05086, nw = 1651 A0V.0001.ec.fits: ap = 93, w1 = 3952.437, w2 = 3869.104, dw = -0.05051, nw = 1651 A0V.0001.ec.fits: ap = 94, w1 = 3925.377, w2 = 3842.613, dw = -0.05016, nw = 1651 A0V.0001.ec.fits: ap = 95, w1 = 3898.685, w2 = 3816.483, dw = -0.04982, nw = 1651 A0V.0001.ec.fits: ap = 96, w1 = 3872.354, w2 = 3790.706, dw = -0.04948, nw = 1651 A0V.0001.ec.fits: ap = 97, w1 = 3846.377, w2 = 3765.276, dw = -0.04915, nw = 1651 A0V.0001.ec.fits: ap = 98, w1 = 3820.747, w2 = 3740.184, dw = -0.04883, nw = 1651 A0V.0001.ec.fits: ap = 99, w1 = 3795.456, w2 = 3715.425, dw = -0.0485, nw = 1651 A0V.0001.ec.fits: ap = 100, w1 = 3770.498, w2 = 3690.992, dw = -0.04819, nw = 1651 A0V.0001.ec.fits: ap = 101, w1 = 3745.867, w2 = 3666.878, dw = -0.04787, nw = 1651 A0V.0001.ec.fits: ap = 102, w1 = 3721.555, w2 = 3643.077, dw = -0.04756, nw = 1651 A0V.0001.ec.fits: ap = 103, w1 = 3697.558, w2 = 3619.584, dw = -0.04726, nw = 1651 A0V.0001.ec.fits: ap = 104, w1 = 3673.869, w2 = 3596.392, dw = -0.04696, nw = 1651 A0V.0001.ec.fits: ap = 105, w1 = 3650.482, w2 = 3573.495, dw = -0.04666, nw = 1651 A0V.0001.ec.fits: ap = 106, w1 = 3627.391, w2 = 3550.888, dw = -0.04636, nw = 1651 A0V.0001.ec.fits: ap = 107, w1 = 3604.59, w2 = 3528.566, dw = -0.04608, nw = 1651 A0V.0001.ec.fits: ap = 108, w1 = 3582.076, w2 = 3506.523, dw = -0.04579, nw = 1651 A0V.0001.ec.fits: ap = 109, w1 = 3559.841, w2 = 3484.754, dw = -0.04551, nw = 1651 A0V.0001.ec.fits: ap = 110, w1 = 3537.88, w2 = 3463.253, dw = -0.04523, nw = 1651 A0V.0001.ec.fits: ap = 111, w1 = 3516.19, w2 = 3442.017, dw = -0.04495, nw = 1651 A0V.0001.ec.fits: ap = 112, w1 = 3494.765, w2 = 3421.039, dw = -0.04468, nw = 1651 A0V.0001.ec.fits: ap = 113, w1 = 3473.599, w2 = 3400.316, dw = -0.04441, nw = 1651 A0V.0001.ec.fits: ap = 114, w1 = 3452.689, w2 = 3379.843, dw = -0.04415, nw = 1651 A0V.0001.ec.fits: ap = 115, w1 = 3432.029, w2 = 3359.615, dw = -0.04389, nw = 1651 A0V.0002.ec.fits: REFSPEC1 = 'ThAr.0023.ec 1.' A0V.0002.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.46, dw = -0.1383, nw = 1651 A0V.0002.ec.fits: ap = 2, w1 = 10611.46, w2 = 10387.49, dw = -0.13574, nw = 1651 A0V.0002.ec.fits: ap = 3, w1 = 10418.54, w2 = 10198.64, dw = -0.13327, nw = 1651 A0V.0002.ec.fits: ap = 4, w1 = 10232.51, w2 = 10016.54, dw = -0.13089, nw = 1651 A0V.0002.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.829, dw = -0.12859, nw = 1651 A0V.0002.ec.fits: ap = 6, w1 = 9879.694, w2 = 9671.176, dw = -0.12637, nw = 1651 A0V.0002.ec.fits: ap = 7, w1 = 9712.255, w2 = 9507.273, dw = -0.12423, nw = 1651 A0V.0002.ec.fits: ap = 8, w1 = 9550.397, w2 = 9348.834, dw = -0.12216, nw = 1651 A0V.0002.ec.fits: ap = 9, w1 = 9393.846, w2 = 9195.589, dw = -0.12016, nw = 1651 A0V.0002.ec.fits: ap = 10, w1 = 9242.345, w2 = 9047.287, dw = -0.11822, nw = 1651 A0V.0002.ec.fits: ap = 11, w1 = 9095.654, w2 = 8903.694, dw = -0.11634, nw = 1651 A0V.0002.ec.fits: ap = 12, w1 = 8953.546, w2 = 8764.587, dw = -0.11452, nw = 1651 A0V.0002.ec.fits: ap = 13, w1 = 8815.811, w2 = 8629.761, dw = -0.11276, nw = 1651 A0V.0002.ec.fits: ap = 14, w1 = 8682.25, w2 = 8499.021, dw = -0.11105, nw = 1651 A0V.0002.ec.fits: ap = 15, w1 = 8552.676, w2 = 8372.183, dw = -0.10939, nw = 1651 A0V.0002.ec.fits: ap = 16, w1 = 8426.912, w2 = 8249.075, dw = -0.10778, nw = 1651 A0V.0002.ec.fits: ap = 17, w1 = 8304.794, w2 = 8129.536, dw = -0.10622, nw = 1651 A0V.0002.ec.fits: ap = 18, w1 = 8186.165, w2 = 8013.412, dw = -0.1047, nw = 1651 A0V.0002.ec.fits: ap = 19, w1 = 8070.877, w2 = 7900.559, dw = -0.10322, nw = 1651 A0V.0002.ec.fits: ap = 20, w1 = 7958.792, w2 = 7790.841, dw = -0.10179, nw = 1651 A0V.0002.ec.fits: ap = 21, w1 = 7849.778, w2 = 7684.129, dw = -0.10039, nw = 1651 A0V.0002.ec.fits: ap = 22, w1 = 7743.71, w2 = 7580.301, dw = -0.09904, nw = 1651 A0V.0002.ec.fits: ap = 23, w1 = 7640.47, w2 = 7479.242, dw = -0.09771, nw = 1651 A0V.0002.ec.fits: ap = 24, w1 = 7539.947, w2 = 7380.842, dw = -0.09643, nw = 1651 A0V.0002.ec.fits: ap = 25, w1 = 7442.036, w2 = 7284.998, dw = -0.09517, nw = 1651 A0V.0002.ec.fits: ap = 26, w1 = 7346.634, w2 = 7191.612, dw = -0.09395, nw = 1651 A0V.0002.ec.fits: ap = 27, w1 = 7253.648, w2 = 7100.59, dw = -0.09276, nw = 1651 A0V.0002.ec.fits: ap = 28, w1 = 7162.987, w2 = 7011.843, dw = -0.0916, nw = 1651 A0V.0002.ec.fits: ap = 29, w1 = 7074.564, w2 = 6925.288, dw = -0.09047, nw = 1651 A0V.0002.ec.fits: ap = 30, w1 = 6988.298, w2 = 6840.844, dw = -0.08937, nw = 1651 A0V.0002.ec.fits: ap = 31, w1 = 6904.11, w2 = 6758.434, dw = -0.08829, nw = 1651 A0V.0002.ec.fits: ap = 32, w1 = 6821.927, w2 = 6677.987, dw = -0.08724, nw = 1651 A0V.0002.ec.fits: ap = 33, w1 = 6741.678, w2 = 6599.433, dw = -0.08621, nw = 1651 A0V.0002.ec.fits: ap = 34, w1 = 6663.295, w2 = 6522.706, dw = -0.08521, nw = 1651 A0V.0002.ec.fits: ap = 35, w1 = 6586.713, w2 = 6447.742, dw = -0.08423, nw = 1651 A0V.0002.ec.fits: ap = 36, w1 = 6511.873, w2 = 6374.482, dw = -0.08327, nw = 1651 A0V.0002.ec.fits: ap = 37, w1 = 6438.714, w2 = 6302.869, dw = -0.08233, nw = 1651 A0V.0002.ec.fits: ap = 38, w1 = 6367.181, w2 = 6232.847, dw = -0.08141, nw = 1651 A0V.0002.ec.fits: ap = 39, w1 = 6297.22, w2 = 6164.364, dw = -0.08052, nw = 1651 A0V.0002.ec.fits: ap = 40, w1 = 6228.78, w2 = 6097.37, dw = -0.07964, nw = 1651 A0V.0002.ec.fits: ap = 41, w1 = 6161.812, w2 = 6031.817, dw = -0.07878, nw = 1651 A0V.0002.ec.fits: ap = 42, w1 = 6096.269, w2 = 5967.659, dw = -0.07795, nw = 1651 A0V.0002.ec.fits: ap = 43, w1 = 6032.105, w2 = 5904.851, dw = -0.07712, nw = 1651 A0V.0002.ec.fits: ap = 44, w1 = 5969.279, w2 = 5843.352, dw = -0.07632, nw = 1651 A0V.0002.ec.fits: ap = 45, w1 = 5907.748, w2 = 5783.121, dw = -0.07553, nw = 1651 A0V.0002.ec.fits: ap = 46, w1 = 5847.473, w2 = 5724.119, dw = -0.07476, nw = 1651 A0V.0002.ec.fits: ap = 47, w1 = 5788.415, w2 = 5666.309, dw = -0.074, nw = 1651 A0V.0002.ec.fits: ap = 48, w1 = 5730.539, w2 = 5609.656, dw = -0.07326, nw = 1651 A0V.0002.ec.fits: ap = 49, w1 = 5673.808, w2 = 5554.124, dw = -0.07254, nw = 1651 A0V.0002.ec.fits: ap = 50, w1 = 5618.191, w2 = 5499.682, dw = -0.07182, nw = 1651 A0V.0002.ec.fits: ap = 51, w1 = 5563.653, w2 = 5446.296, dw = -0.07113, nw = 1651 A0V.0002.ec.fits: ap = 52, w1 = 5510.164, w2 = 5393.938, dw = -0.07044, nw = 1651 A0V.0002.ec.fits: ap = 53, w1 = 5457.694, w2 = 5342.577, dw = -0.06977, nw = 1651 A0V.0002.ec.fits: ap = 54, w1 = 5406.214, w2 = 5292.184, dw = -0.06911, nw = 1651 A0V.0002.ec.fits: ap = 55, w1 = 5355.697, w2 = 5242.734, dw = -0.06846, nw = 1651 A0V.0002.ec.fits: ap = 56, w1 = 5306.115, w2 = 5194.2, dw = -0.06783, nw = 1651 A0V.0002.ec.fits: ap = 57, w1 = 5257.442, w2 = 5146.557, dw = -0.0672, nw = 1651 A0V.0002.ec.fits: ap = 58, w1 = 5209.655, w2 = 5099.779, dw = -0.06659, nw = 1651 A0V.0002.ec.fits: ap = 59, w1 = 5162.729, w2 = 5053.845, dw = -0.06599, nw = 1651 A0V.0002.ec.fits: ap = 60, w1 = 5116.642, w2 = 5008.731, dw = -0.0654, nw = 1651 A0V.0002.ec.fits: ap = 61, w1 = 5071.369, w2 = 4964.416, dw = -0.06482, nw = 1651 A0V.0002.ec.fits: ap = 62, w1 = 5026.892, w2 = 4920.878, dw = -0.06425, nw = 1651 A0V.0002.ec.fits: ap = 63, w1 = 4983.188, w2 = 4878.097, dw = -0.06369, nw = 1651 A0V.0002.ec.fits: ap = 64, w1 = 4940.237, w2 = 4836.054, dw = -0.06314, nw = 1651 A0V.0002.ec.fits: ap = 65, w1 = 4898.021, w2 = 4794.73, dw = -0.0626, nw = 1651 A0V.0002.ec.fits: ap = 66, w1 = 4856.521, w2 = 4754.106, dw = -0.06207, nw = 1651 A0V.0002.ec.fits: ap = 67, w1 = 4815.718, w2 = 4714.166, dw = -0.06155, nw = 1651 A0V.0002.ec.fits: ap = 68, w1 = 4775.595, w2 = 4674.891, dw = -0.06103, nw = 1651 A0V.0002.ec.fits: ap = 69, w1 = 4736.136, w2 = 4636.265, dw = -0.06053, nw = 1651 A0V.0002.ec.fits: ap = 70, w1 = 4697.324, w2 = 4598.272, dw = -0.06003, nw = 1651 A0V.0002.ec.fits: ap = 71, w1 = 4659.142, w2 = 4560.898, dw = -0.05954, nw = 1651 A0V.0002.ec.fits: ap = 72, w1 = 4621.577, w2 = 4524.126, dw = -0.05906, nw = 1651 A0V.0002.ec.fits: ap = 73, w1 = 4584.613, w2 = 4487.943, dw = -0.05859, nw = 1651 A0V.0002.ec.fits: ap = 74, w1 = 4548.236, w2 = 4452.334, dw = -0.05812, nw = 1651 A0V.0002.ec.fits: ap = 75, w1 = 4512.432, w2 = 4417.286, dw = -0.05766, nw = 1651 A0V.0002.ec.fits: ap = 76, w1 = 4477.188, w2 = 4382.786, dw = -0.05721, nw = 1651 A0V.0002.ec.fits: ap = 77, w1 = 4442.49, w2 = 4348.821, dw = -0.05677, nw = 1651 A0V.0002.ec.fits: ap = 78, w1 = 4408.326, w2 = 4315.378, dw = -0.05633, nw = 1651 A0V.0002.ec.fits: ap = 79, w1 = 4374.684, w2 = 4282.447, dw = -0.0559, nw = 1651 A0V.0002.ec.fits: ap = 80, w1 = 4341.552, w2 = 4250.014, dw = -0.05548, nw = 1651 A0V.0002.ec.fits: ap = 81, w1 = 4308.918, w2 = 4218.069, dw = -0.05506, nw = 1651 A0V.0002.ec.fits: ap = 82, w1 = 4276.772, w2 = 4186.601, dw = -0.05465, nw = 1651 A0V.0002.ec.fits: ap = 83, w1 = 4245.102, w2 = 4155.599, dw = -0.05424, nw = 1651 A0V.0002.ec.fits: ap = 84, w1 = 4213.898, w2 = 4125.053, dw = -0.05385, nw = 1651 A0V.0002.ec.fits: ap = 85, w1 = 4183.149, w2 = 4094.953, dw = -0.05345, nw = 1651 A0V.0002.ec.fits: ap = 86, w1 = 4152.847, w2 = 4065.289, dw = -0.05306, nw = 1651 A0V.0002.ec.fits: ap = 87, w1 = 4122.98, w2 = 4036.053, dw = -0.05268, nw = 1651 A0V.0002.ec.fits: ap = 88, w1 = 4093.541, w2 = 4007.234, dw = -0.05231, nw = 1651 A0V.0002.ec.fits: ap = 89, w1 = 4064.519, w2 = 3978.824, dw = -0.05194, nw = 1651 A0V.0002.ec.fits: ap = 90, w1 = 4035.906, w2 = 3950.814, dw = -0.05157, nw = 1651 A0V.0002.ec.fits: ap = 91, w1 = 4007.694, w2 = 3923.196, dw = -0.05121, nw = 1651 A0V.0002.ec.fits: ap = 92, w1 = 3979.874, w2 = 3895.962, dw = -0.05086, nw = 1651 A0V.0002.ec.fits: ap = 93, w1 = 3952.437, w2 = 3869.104, dw = -0.05051, nw = 1651 A0V.0002.ec.fits: ap = 94, w1 = 3925.377, w2 = 3842.613, dw = -0.05016, nw = 1651 A0V.0002.ec.fits: ap = 95, w1 = 3898.685, w2 = 3816.483, dw = -0.04982, nw = 1651 A0V.0002.ec.fits: ap = 96, w1 = 3872.354, w2 = 3790.706, dw = -0.04948, nw = 1651 A0V.0002.ec.fits: ap = 97, w1 = 3846.377, w2 = 3765.276, dw = -0.04915, nw = 1651 A0V.0002.ec.fits: ap = 98, w1 = 3820.747, w2 = 3740.184, dw = -0.04883, nw = 1651 A0V.0002.ec.fits: ap = 99, w1 = 3795.456, w2 = 3715.425, dw = -0.0485, nw = 1651 A0V.0002.ec.fits: ap = 100, w1 = 3770.498, w2 = 3690.992, dw = -0.04819, nw = 1651 A0V.0002.ec.fits: ap = 101, w1 = 3745.867, w2 = 3666.878, dw = -0.04787, nw = 1651 A0V.0002.ec.fits: ap = 102, w1 = 3721.555, w2 = 3643.077, dw = -0.04756, nw = 1651 A0V.0002.ec.fits: ap = 103, w1 = 3697.558, w2 = 3619.584, dw = -0.04726, nw = 1651 A0V.0002.ec.fits: ap = 104, w1 = 3673.869, w2 = 3596.392, dw = -0.04696, nw = 1651 A0V.0002.ec.fits: ap = 105, w1 = 3650.482, w2 = 3573.495, dw = -0.04666, nw = 1651 A0V.0002.ec.fits: ap = 106, w1 = 3627.391, w2 = 3550.888, dw = -0.04636, nw = 1651 A0V.0002.ec.fits: ap = 107, w1 = 3604.59, w2 = 3528.566, dw = -0.04608, nw = 1651 A0V.0002.ec.fits: ap = 108, w1 = 3582.076, w2 = 3506.523, dw = -0.04579, nw = 1651 A0V.0002.ec.fits: ap = 109, w1 = 3559.841, w2 = 3484.754, dw = -0.04551, nw = 1651 A0V.0002.ec.fits: ap = 110, w1 = 3537.88, w2 = 3463.253, dw = -0.04523, nw = 1651 A0V.0002.ec.fits: ap = 111, w1 = 3516.19, w2 = 3442.017, dw = -0.04495, nw = 1651 A0V.0002.ec.fits: ap = 112, w1 = 3494.765, w2 = 3421.039, dw = -0.04468, nw = 1651 A0V.0002.ec.fits: ap = 113, w1 = 3473.599, w2 = 3400.316, dw = -0.04441, nw = 1651 A0V.0002.ec.fits: ap = 114, w1 = 3452.689, w2 = 3379.843, dw = -0.04415, nw = 1651 A0V.0002.ec.fits: ap = 115, w1 = 3432.029, w2 = 3359.615, dw = -0.04389, nw = 1651 A0V.0003.ec.fits: REFSPEC1 = 'ThAr.0023.ec 1.' A0V.0003.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.46, dw = -0.1383, nw = 1651 A0V.0003.ec.fits: ap = 2, w1 = 10611.46, w2 = 10387.49, dw = -0.13574, nw = 1651 A0V.0003.ec.fits: ap = 3, w1 = 10418.54, w2 = 10198.64, dw = -0.13327, nw = 1651 A0V.0003.ec.fits: ap = 4, w1 = 10232.51, w2 = 10016.54, dw = -0.13089, nw = 1651 A0V.0003.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.829, dw = -0.12859, nw = 1651 A0V.0003.ec.fits: ap = 6, w1 = 9879.694, w2 = 9671.176, dw = -0.12637, nw = 1651 A0V.0003.ec.fits: ap = 7, w1 = 9712.255, w2 = 9507.273, dw = -0.12423, nw = 1651 A0V.0003.ec.fits: ap = 8, w1 = 9550.397, w2 = 9348.834, dw = -0.12216, nw = 1651 A0V.0003.ec.fits: ap = 9, w1 = 9393.846, w2 = 9195.589, dw = -0.12016, nw = 1651 A0V.0003.ec.fits: ap = 10, w1 = 9242.345, w2 = 9047.287, dw = -0.11822, nw = 1651 A0V.0003.ec.fits: ap = 11, w1 = 9095.654, w2 = 8903.694, dw = -0.11634, nw = 1651 A0V.0003.ec.fits: ap = 12, w1 = 8953.546, w2 = 8764.587, dw = -0.11452, nw = 1651 A0V.0003.ec.fits: ap = 13, w1 = 8815.811, w2 = 8629.761, dw = -0.11276, nw = 1651 A0V.0003.ec.fits: ap = 14, w1 = 8682.25, w2 = 8499.021, dw = -0.11105, nw = 1651 A0V.0003.ec.fits: ap = 15, w1 = 8552.676, w2 = 8372.183, dw = -0.10939, nw = 1651 A0V.0003.ec.fits: ap = 16, w1 = 8426.912, w2 = 8249.075, dw = -0.10778, nw = 1651 A0V.0003.ec.fits: ap = 17, w1 = 8304.794, w2 = 8129.536, dw = -0.10622, nw = 1651 A0V.0003.ec.fits: ap = 18, w1 = 8186.165, w2 = 8013.412, dw = -0.1047, nw = 1651 A0V.0003.ec.fits: ap = 19, w1 = 8070.877, w2 = 7900.559, dw = -0.10322, nw = 1651 A0V.0003.ec.fits: ap = 20, w1 = 7958.792, w2 = 7790.841, dw = -0.10179, nw = 1651 A0V.0003.ec.fits: ap = 21, w1 = 7849.778, w2 = 7684.129, dw = -0.10039, nw = 1651 A0V.0003.ec.fits: ap = 22, w1 = 7743.71, w2 = 7580.301, dw = -0.09904, nw = 1651 A0V.0003.ec.fits: ap = 23, w1 = 7640.47, w2 = 7479.242, dw = -0.09771, nw = 1651 A0V.0003.ec.fits: ap = 24, w1 = 7539.947, w2 = 7380.842, dw = -0.09643, nw = 1651 A0V.0003.ec.fits: ap = 25, w1 = 7442.036, w2 = 7284.998, dw = -0.09517, nw = 1651 A0V.0003.ec.fits: ap = 26, w1 = 7346.634, w2 = 7191.612, dw = -0.09395, nw = 1651 A0V.0003.ec.fits: ap = 27, w1 = 7253.648, w2 = 7100.59, dw = -0.09276, nw = 1651 A0V.0003.ec.fits: ap = 28, w1 = 7162.987, w2 = 7011.843, dw = -0.0916, nw = 1651 A0V.0003.ec.fits: ap = 29, w1 = 7074.564, w2 = 6925.288, dw = -0.09047, nw = 1651 A0V.0003.ec.fits: ap = 30, w1 = 6988.298, w2 = 6840.844, dw = -0.08937, nw = 1651 A0V.0003.ec.fits: ap = 31, w1 = 6904.11, w2 = 6758.434, dw = -0.08829, nw = 1651 A0V.0003.ec.fits: ap = 32, w1 = 6821.927, w2 = 6677.987, dw = -0.08724, nw = 1651 A0V.0003.ec.fits: ap = 33, w1 = 6741.678, w2 = 6599.433, dw = -0.08621, nw = 1651 A0V.0003.ec.fits: ap = 34, w1 = 6663.295, w2 = 6522.706, dw = -0.08521, nw = 1651 A0V.0003.ec.fits: ap = 35, w1 = 6586.713, w2 = 6447.742, dw = -0.08423, nw = 1651 A0V.0003.ec.fits: ap = 36, w1 = 6511.873, w2 = 6374.482, dw = -0.08327, nw = 1651 A0V.0003.ec.fits: ap = 37, w1 = 6438.714, w2 = 6302.869, dw = -0.08233, nw = 1651 A0V.0003.ec.fits: ap = 38, w1 = 6367.181, w2 = 6232.847, dw = -0.08141, nw = 1651 A0V.0003.ec.fits: ap = 39, w1 = 6297.22, w2 = 6164.364, dw = -0.08052, nw = 1651 A0V.0003.ec.fits: ap = 40, w1 = 6228.78, w2 = 6097.37, dw = -0.07964, nw = 1651 A0V.0003.ec.fits: ap = 41, w1 = 6161.812, w2 = 6031.817, dw = -0.07878, nw = 1651 A0V.0003.ec.fits: ap = 42, w1 = 6096.269, w2 = 5967.659, dw = -0.07795, nw = 1651 A0V.0003.ec.fits: ap = 43, w1 = 6032.105, w2 = 5904.851, dw = -0.07712, nw = 1651 A0V.0003.ec.fits: ap = 44, w1 = 5969.279, w2 = 5843.352, dw = -0.07632, nw = 1651 A0V.0003.ec.fits: ap = 45, w1 = 5907.748, w2 = 5783.121, dw = -0.07553, nw = 1651 A0V.0003.ec.fits: ap = 46, w1 = 5847.473, w2 = 5724.119, dw = -0.07476, nw = 1651 A0V.0003.ec.fits: ap = 47, w1 = 5788.415, w2 = 5666.309, dw = -0.074, nw = 1651 A0V.0003.ec.fits: ap = 48, w1 = 5730.539, w2 = 5609.656, dw = -0.07326, nw = 1651 A0V.0003.ec.fits: ap = 49, w1 = 5673.808, w2 = 5554.124, dw = -0.07254, nw = 1651 A0V.0003.ec.fits: ap = 50, w1 = 5618.191, w2 = 5499.682, dw = -0.07182, nw = 1651 A0V.0003.ec.fits: ap = 51, w1 = 5563.653, w2 = 5446.296, dw = -0.07113, nw = 1651 A0V.0003.ec.fits: ap = 52, w1 = 5510.164, w2 = 5393.938, dw = -0.07044, nw = 1651 A0V.0003.ec.fits: ap = 53, w1 = 5457.694, w2 = 5342.577, dw = -0.06977, nw = 1651 A0V.0003.ec.fits: ap = 54, w1 = 5406.214, w2 = 5292.184, dw = -0.06911, nw = 1651 A0V.0003.ec.fits: ap = 55, w1 = 5355.697, w2 = 5242.734, dw = -0.06846, nw = 1651 A0V.0003.ec.fits: ap = 56, w1 = 5306.115, w2 = 5194.2, dw = -0.06783, nw = 1651 A0V.0003.ec.fits: ap = 57, w1 = 5257.442, w2 = 5146.557, dw = -0.0672, nw = 1651 A0V.0003.ec.fits: ap = 58, w1 = 5209.655, w2 = 5099.779, dw = -0.06659, nw = 1651 A0V.0003.ec.fits: ap = 59, w1 = 5162.729, w2 = 5053.845, dw = -0.06599, nw = 1651 A0V.0003.ec.fits: ap = 60, w1 = 5116.642, w2 = 5008.731, dw = -0.0654, nw = 1651 A0V.0003.ec.fits: ap = 61, w1 = 5071.369, w2 = 4964.416, dw = -0.06482, nw = 1651 A0V.0003.ec.fits: ap = 62, w1 = 5026.892, w2 = 4920.878, dw = -0.06425, nw = 1651 A0V.0003.ec.fits: ap = 63, w1 = 4983.188, w2 = 4878.097, dw = -0.06369, nw = 1651 A0V.0003.ec.fits: ap = 64, w1 = 4940.237, w2 = 4836.054, dw = -0.06314, nw = 1651 A0V.0003.ec.fits: ap = 65, w1 = 4898.021, w2 = 4794.73, dw = -0.0626, nw = 1651 A0V.0003.ec.fits: ap = 66, w1 = 4856.521, w2 = 4754.106, dw = -0.06207, nw = 1651 A0V.0003.ec.fits: ap = 67, w1 = 4815.718, w2 = 4714.166, dw = -0.06155, nw = 1651 A0V.0003.ec.fits: ap = 68, w1 = 4775.595, w2 = 4674.891, dw = -0.06103, nw = 1651 A0V.0003.ec.fits: ap = 69, w1 = 4736.136, w2 = 4636.265, dw = -0.06053, nw = 1651 A0V.0003.ec.fits: ap = 70, w1 = 4697.324, w2 = 4598.272, dw = -0.06003, nw = 1651 A0V.0003.ec.fits: ap = 71, w1 = 4659.142, w2 = 4560.898, dw = -0.05954, nw = 1651 A0V.0003.ec.fits: ap = 72, w1 = 4621.577, w2 = 4524.126, dw = -0.05906, nw = 1651 A0V.0003.ec.fits: ap = 73, w1 = 4584.613, w2 = 4487.943, dw = -0.05859, nw = 1651 A0V.0003.ec.fits: ap = 74, w1 = 4548.236, w2 = 4452.334, dw = -0.05812, nw = 1651 A0V.0003.ec.fits: ap = 75, w1 = 4512.432, w2 = 4417.286, dw = -0.05766, nw = 1651 A0V.0003.ec.fits: ap = 76, w1 = 4477.188, w2 = 4382.786, dw = -0.05721, nw = 1651 A0V.0003.ec.fits: ap = 77, w1 = 4442.49, w2 = 4348.821, dw = -0.05677, nw = 1651 A0V.0003.ec.fits: ap = 78, w1 = 4408.326, w2 = 4315.378, dw = -0.05633, nw = 1651 A0V.0003.ec.fits: ap = 79, w1 = 4374.684, w2 = 4282.447, dw = -0.0559, nw = 1651 A0V.0003.ec.fits: ap = 80, w1 = 4341.552, w2 = 4250.014, dw = -0.05548, nw = 1651 A0V.0003.ec.fits: ap = 81, w1 = 4308.918, w2 = 4218.069, dw = -0.05506, nw = 1651 A0V.0003.ec.fits: ap = 82, w1 = 4276.772, w2 = 4186.601, dw = -0.05465, nw = 1651 A0V.0003.ec.fits: ap = 83, w1 = 4245.102, w2 = 4155.599, dw = -0.05424, nw = 1651 A0V.0003.ec.fits: ap = 84, w1 = 4213.898, w2 = 4125.053, dw = -0.05385, nw = 1651 A0V.0003.ec.fits: ap = 85, w1 = 4183.149, w2 = 4094.953, dw = -0.05345, nw = 1651 A0V.0003.ec.fits: ap = 86, w1 = 4152.847, w2 = 4065.289, dw = -0.05306, nw = 1651 A0V.0003.ec.fits: ap = 87, w1 = 4122.98, w2 = 4036.053, dw = -0.05268, nw = 1651 A0V.0003.ec.fits: ap = 88, w1 = 4093.541, w2 = 4007.234, dw = -0.05231, nw = 1651 A0V.0003.ec.fits: ap = 89, w1 = 4064.519, w2 = 3978.824, dw = -0.05194, nw = 1651 A0V.0003.ec.fits: ap = 90, w1 = 4035.906, w2 = 3950.814, dw = -0.05157, nw = 1651 A0V.0003.ec.fits: ap = 91, w1 = 4007.694, w2 = 3923.196, dw = -0.05121, nw = 1651 A0V.0003.ec.fits: ap = 92, w1 = 3979.874, w2 = 3895.962, dw = -0.05086, nw = 1651 A0V.0003.ec.fits: ap = 93, w1 = 3952.437, w2 = 3869.104, dw = -0.05051, nw = 1651 A0V.0003.ec.fits: ap = 94, w1 = 3925.377, w2 = 3842.613, dw = -0.05016, nw = 1651 A0V.0003.ec.fits: ap = 95, w1 = 3898.685, w2 = 3816.483, dw = -0.04982, nw = 1651 A0V.0003.ec.fits: ap = 96, w1 = 3872.354, w2 = 3790.706, dw = -0.04948, nw = 1651 A0V.0003.ec.fits: ap = 97, w1 = 3846.377, w2 = 3765.276, dw = -0.04915, nw = 1651 A0V.0003.ec.fits: ap = 98, w1 = 3820.747, w2 = 3740.184, dw = -0.04883, nw = 1651 A0V.0003.ec.fits: ap = 99, w1 = 3795.456, w2 = 3715.425, dw = -0.0485, nw = 1651 A0V.0003.ec.fits: ap = 100, w1 = 3770.498, w2 = 3690.992, dw = -0.04819, nw = 1651 A0V.0003.ec.fits: ap = 101, w1 = 3745.867, w2 = 3666.878, dw = -0.04787, nw = 1651 A0V.0003.ec.fits: ap = 102, w1 = 3721.555, w2 = 3643.077, dw = -0.04756, nw = 1651 A0V.0003.ec.fits: ap = 103, w1 = 3697.558, w2 = 3619.584, dw = -0.04726, nw = 1651 A0V.0003.ec.fits: ap = 104, w1 = 3673.869, w2 = 3596.392, dw = -0.04696, nw = 1651 A0V.0003.ec.fits: ap = 105, w1 = 3650.482, w2 = 3573.495, dw = -0.04666, nw = 1651 A0V.0003.ec.fits: ap = 106, w1 = 3627.391, w2 = 3550.888, dw = -0.04636, nw = 1651 A0V.0003.ec.fits: ap = 107, w1 = 3604.59, w2 = 3528.566, dw = -0.04608, nw = 1651 A0V.0003.ec.fits: ap = 108, w1 = 3582.076, w2 = 3506.523, dw = -0.04579, nw = 1651 A0V.0003.ec.fits: ap = 109, w1 = 3559.841, w2 = 3484.754, dw = -0.04551, nw = 1651 A0V.0003.ec.fits: ap = 110, w1 = 3537.88, w2 = 3463.253, dw = -0.04523, nw = 1651 A0V.0003.ec.fits: ap = 111, w1 = 3516.19, w2 = 3442.017, dw = -0.04495, nw = 1651 A0V.0003.ec.fits: ap = 112, w1 = 3494.765, w2 = 3421.039, dw = -0.04468, nw = 1651 A0V.0003.ec.fits: ap = 113, w1 = 3473.599, w2 = 3400.316, dw = -0.04441, nw = 1651 A0V.0003.ec.fits: ap = 114, w1 = 3452.689, w2 = 3379.843, dw = -0.04415, nw = 1651 A0V.0003.ec.fits: ap = 115, w1 = 3432.029, w2 = 3359.615, dw = -0.04389, nw = 1651 A0V.0004.ec.fits: REFSPEC1 = 'ThAr.0023.ec 1.' A0V.0004.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.46, dw = -0.1383, nw = 1651 A0V.0004.ec.fits: ap = 2, w1 = 10611.46, w2 = 10387.49, dw = -0.13574, nw = 1651 A0V.0004.ec.fits: ap = 3, w1 = 10418.54, w2 = 10198.64, dw = -0.13327, nw = 1651 A0V.0004.ec.fits: ap = 4, w1 = 10232.51, w2 = 10016.54, dw = -0.13089, nw = 1651 A0V.0004.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.829, dw = -0.12859, nw = 1651 A0V.0004.ec.fits: ap = 6, w1 = 9879.694, w2 = 9671.176, dw = -0.12637, nw = 1651 A0V.0004.ec.fits: ap = 7, w1 = 9712.255, w2 = 9507.273, dw = -0.12423, nw = 1651 A0V.0004.ec.fits: ap = 8, w1 = 9550.397, w2 = 9348.834, dw = -0.12216, nw = 1651 A0V.0004.ec.fits: ap = 9, w1 = 9393.846, w2 = 9195.589, dw = -0.12016, nw = 1651 A0V.0004.ec.fits: ap = 10, w1 = 9242.345, w2 = 9047.287, dw = -0.11822, nw = 1651 A0V.0004.ec.fits: ap = 11, w1 = 9095.654, w2 = 8903.694, dw = -0.11634, nw = 1651 A0V.0004.ec.fits: ap = 12, w1 = 8953.546, w2 = 8764.587, dw = -0.11452, nw = 1651 A0V.0004.ec.fits: ap = 13, w1 = 8815.811, w2 = 8629.761, dw = -0.11276, nw = 1651 A0V.0004.ec.fits: ap = 14, w1 = 8682.25, w2 = 8499.021, dw = -0.11105, nw = 1651 A0V.0004.ec.fits: ap = 15, w1 = 8552.676, w2 = 8372.183, dw = -0.10939, nw = 1651 A0V.0004.ec.fits: ap = 16, w1 = 8426.912, w2 = 8249.075, dw = -0.10778, nw = 1651 A0V.0004.ec.fits: ap = 17, w1 = 8304.794, w2 = 8129.536, dw = -0.10622, nw = 1651 A0V.0004.ec.fits: ap = 18, w1 = 8186.165, w2 = 8013.412, dw = -0.1047, nw = 1651 A0V.0004.ec.fits: ap = 19, w1 = 8070.877, w2 = 7900.559, dw = -0.10322, nw = 1651 A0V.0004.ec.fits: ap = 20, w1 = 7958.792, w2 = 7790.841, dw = -0.10179, nw = 1651 A0V.0004.ec.fits: ap = 21, w1 = 7849.778, w2 = 7684.129, dw = -0.10039, nw = 1651 A0V.0004.ec.fits: ap = 22, w1 = 7743.71, w2 = 7580.301, dw = -0.09904, nw = 1651 A0V.0004.ec.fits: ap = 23, w1 = 7640.47, w2 = 7479.242, dw = -0.09771, nw = 1651 A0V.0004.ec.fits: ap = 24, w1 = 7539.947, w2 = 7380.842, dw = -0.09643, nw = 1651 A0V.0004.ec.fits: ap = 25, w1 = 7442.036, w2 = 7284.998, dw = -0.09517, nw = 1651 A0V.0004.ec.fits: ap = 26, w1 = 7346.634, w2 = 7191.612, dw = -0.09395, nw = 1651 A0V.0004.ec.fits: ap = 27, w1 = 7253.648, w2 = 7100.59, dw = -0.09276, nw = 1651 A0V.0004.ec.fits: ap = 28, w1 = 7162.987, w2 = 7011.843, dw = -0.0916, nw = 1651 A0V.0004.ec.fits: ap = 29, w1 = 7074.564, w2 = 6925.288, dw = -0.09047, nw = 1651 A0V.0004.ec.fits: ap = 30, w1 = 6988.298, w2 = 6840.844, dw = -0.08937, nw = 1651 A0V.0004.ec.fits: ap = 31, w1 = 6904.11, w2 = 6758.434, dw = -0.08829, nw = 1651 A0V.0004.ec.fits: ap = 32, w1 = 6821.927, w2 = 6677.987, dw = -0.08724, nw = 1651 A0V.0004.ec.fits: ap = 33, w1 = 6741.678, w2 = 6599.433, dw = -0.08621, nw = 1651 A0V.0004.ec.fits: ap = 34, w1 = 6663.295, w2 = 6522.706, dw = -0.08521, nw = 1651 A0V.0004.ec.fits: ap = 35, w1 = 6586.713, w2 = 6447.742, dw = -0.08423, nw = 1651 A0V.0004.ec.fits: ap = 36, w1 = 6511.873, w2 = 6374.482, dw = -0.08327, nw = 1651 A0V.0004.ec.fits: ap = 37, w1 = 6438.714, w2 = 6302.869, dw = -0.08233, nw = 1651 A0V.0004.ec.fits: ap = 38, w1 = 6367.181, w2 = 6232.847, dw = -0.08141, nw = 1651 A0V.0004.ec.fits: ap = 39, w1 = 6297.22, w2 = 6164.364, dw = -0.08052, nw = 1651 A0V.0004.ec.fits: ap = 40, w1 = 6228.78, w2 = 6097.37, dw = -0.07964, nw = 1651 A0V.0004.ec.fits: ap = 41, w1 = 6161.812, w2 = 6031.817, dw = -0.07878, nw = 1651 A0V.0004.ec.fits: ap = 42, w1 = 6096.269, w2 = 5967.659, dw = -0.07795, nw = 1651 A0V.0004.ec.fits: ap = 43, w1 = 6032.105, w2 = 5904.851, dw = -0.07712, nw = 1651 A0V.0004.ec.fits: ap = 44, w1 = 5969.279, w2 = 5843.352, dw = -0.07632, nw = 1651 A0V.0004.ec.fits: ap = 45, w1 = 5907.748, w2 = 5783.121, dw = -0.07553, nw = 1651 A0V.0004.ec.fits: ap = 46, w1 = 5847.473, w2 = 5724.119, dw = -0.07476, nw = 1651 A0V.0004.ec.fits: ap = 47, w1 = 5788.415, w2 = 5666.309, dw = -0.074, nw = 1651 A0V.0004.ec.fits: ap = 48, w1 = 5730.539, w2 = 5609.656, dw = -0.07326, nw = 1651 A0V.0004.ec.fits: ap = 49, w1 = 5673.808, w2 = 5554.124, dw = -0.07254, nw = 1651 A0V.0004.ec.fits: ap = 50, w1 = 5618.191, w2 = 5499.682, dw = -0.07182, nw = 1651 A0V.0004.ec.fits: ap = 51, w1 = 5563.653, w2 = 5446.296, dw = -0.07113, nw = 1651 A0V.0004.ec.fits: ap = 52, w1 = 5510.164, w2 = 5393.938, dw = -0.07044, nw = 1651 A0V.0004.ec.fits: ap = 53, w1 = 5457.694, w2 = 5342.577, dw = -0.06977, nw = 1651 A0V.0004.ec.fits: ap = 54, w1 = 5406.214, w2 = 5292.184, dw = -0.06911, nw = 1651 A0V.0004.ec.fits: ap = 55, w1 = 5355.697, w2 = 5242.734, dw = -0.06846, nw = 1651 A0V.0004.ec.fits: ap = 56, w1 = 5306.115, w2 = 5194.2, dw = -0.06783, nw = 1651 A0V.0004.ec.fits: ap = 57, w1 = 5257.442, w2 = 5146.557, dw = -0.0672, nw = 1651 A0V.0004.ec.fits: ap = 58, w1 = 5209.655, w2 = 5099.779, dw = -0.06659, nw = 1651 A0V.0004.ec.fits: ap = 59, w1 = 5162.729, w2 = 5053.845, dw = -0.06599, nw = 1651 A0V.0004.ec.fits: ap = 60, w1 = 5116.642, w2 = 5008.731, dw = -0.0654, nw = 1651 A0V.0004.ec.fits: ap = 61, w1 = 5071.369, w2 = 4964.416, dw = -0.06482, nw = 1651 A0V.0004.ec.fits: ap = 62, w1 = 5026.892, w2 = 4920.878, dw = -0.06425, nw = 1651 A0V.0004.ec.fits: ap = 63, w1 = 4983.188, w2 = 4878.097, dw = -0.06369, nw = 1651 A0V.0004.ec.fits: ap = 64, w1 = 4940.237, w2 = 4836.054, dw = -0.06314, nw = 1651 A0V.0004.ec.fits: ap = 65, w1 = 4898.021, w2 = 4794.73, dw = -0.0626, nw = 1651 A0V.0004.ec.fits: ap = 66, w1 = 4856.521, w2 = 4754.106, dw = -0.06207, nw = 1651 A0V.0004.ec.fits: ap = 67, w1 = 4815.718, w2 = 4714.166, dw = -0.06155, nw = 1651 A0V.0004.ec.fits: ap = 68, w1 = 4775.595, w2 = 4674.891, dw = -0.06103, nw = 1651 A0V.0004.ec.fits: ap = 69, w1 = 4736.136, w2 = 4636.265, dw = -0.06053, nw = 1651 A0V.0004.ec.fits: ap = 70, w1 = 4697.324, w2 = 4598.272, dw = -0.06003, nw = 1651 A0V.0004.ec.fits: ap = 71, w1 = 4659.142, w2 = 4560.898, dw = -0.05954, nw = 1651 A0V.0004.ec.fits: ap = 72, w1 = 4621.577, w2 = 4524.126, dw = -0.05906, nw = 1651 A0V.0004.ec.fits: ap = 73, w1 = 4584.613, w2 = 4487.943, dw = -0.05859, nw = 1651 A0V.0004.ec.fits: ap = 74, w1 = 4548.236, w2 = 4452.334, dw = -0.05812, nw = 1651 A0V.0004.ec.fits: ap = 75, w1 = 4512.432, w2 = 4417.286, dw = -0.05766, nw = 1651 A0V.0004.ec.fits: ap = 76, w1 = 4477.188, w2 = 4382.786, dw = -0.05721, nw = 1651 A0V.0004.ec.fits: ap = 77, w1 = 4442.49, w2 = 4348.821, dw = -0.05677, nw = 1651 A0V.0004.ec.fits: ap = 78, w1 = 4408.326, w2 = 4315.378, dw = -0.05633, nw = 1651 A0V.0004.ec.fits: ap = 79, w1 = 4374.684, w2 = 4282.447, dw = -0.0559, nw = 1651 A0V.0004.ec.fits: ap = 80, w1 = 4341.552, w2 = 4250.014, dw = -0.05548, nw = 1651 A0V.0004.ec.fits: ap = 81, w1 = 4308.918, w2 = 4218.069, dw = -0.05506, nw = 1651 A0V.0004.ec.fits: ap = 82, w1 = 4276.772, w2 = 4186.601, dw = -0.05465, nw = 1651 A0V.0004.ec.fits: ap = 83, w1 = 4245.102, w2 = 4155.599, dw = -0.05424, nw = 1651 A0V.0004.ec.fits: ap = 84, w1 = 4213.898, w2 = 4125.053, dw = -0.05385, nw = 1651 A0V.0004.ec.fits: ap = 85, w1 = 4183.149, w2 = 4094.953, dw = -0.05345, nw = 1651 A0V.0004.ec.fits: ap = 86, w1 = 4152.847, w2 = 4065.289, dw = -0.05306, nw = 1651 A0V.0004.ec.fits: ap = 87, w1 = 4122.98, w2 = 4036.053, dw = -0.05268, nw = 1651 A0V.0004.ec.fits: ap = 88, w1 = 4093.541, w2 = 4007.234, dw = -0.05231, nw = 1651 A0V.0004.ec.fits: ap = 89, w1 = 4064.519, w2 = 3978.824, dw = -0.05194, nw = 1651 A0V.0004.ec.fits: ap = 90, w1 = 4035.906, w2 = 3950.814, dw = -0.05157, nw = 1651 A0V.0004.ec.fits: ap = 91, w1 = 4007.694, w2 = 3923.196, dw = -0.05121, nw = 1651 A0V.0004.ec.fits: ap = 92, w1 = 3979.874, w2 = 3895.962, dw = -0.05086, nw = 1651 A0V.0004.ec.fits: ap = 93, w1 = 3952.437, w2 = 3869.104, dw = -0.05051, nw = 1651 A0V.0004.ec.fits: ap = 94, w1 = 3925.377, w2 = 3842.613, dw = -0.05016, nw = 1651 A0V.0004.ec.fits: ap = 95, w1 = 3898.685, w2 = 3816.483, dw = -0.04982, nw = 1651 A0V.0004.ec.fits: ap = 96, w1 = 3872.354, w2 = 3790.706, dw = -0.04948, nw = 1651 A0V.0004.ec.fits: ap = 97, w1 = 3846.377, w2 = 3765.276, dw = -0.04915, nw = 1651 A0V.0004.ec.fits: ap = 98, w1 = 3820.747, w2 = 3740.184, dw = -0.04883, nw = 1651 A0V.0004.ec.fits: ap = 99, w1 = 3795.456, w2 = 3715.425, dw = -0.0485, nw = 1651 A0V.0004.ec.fits: ap = 100, w1 = 3770.498, w2 = 3690.992, dw = -0.04819, nw = 1651 A0V.0004.ec.fits: ap = 101, w1 = 3745.867, w2 = 3666.878, dw = -0.04787, nw = 1651 A0V.0004.ec.fits: ap = 102, w1 = 3721.555, w2 = 3643.077, dw = -0.04756, nw = 1651 A0V.0004.ec.fits: ap = 103, w1 = 3697.558, w2 = 3619.584, dw = -0.04726, nw = 1651 A0V.0004.ec.fits: ap = 104, w1 = 3673.869, w2 = 3596.392, dw = -0.04696, nw = 1651 A0V.0004.ec.fits: ap = 105, w1 = 3650.482, w2 = 3573.495, dw = -0.04666, nw = 1651 A0V.0004.ec.fits: ap = 106, w1 = 3627.391, w2 = 3550.888, dw = -0.04636, nw = 1651 A0V.0004.ec.fits: ap = 107, w1 = 3604.59, w2 = 3528.566, dw = -0.04608, nw = 1651 A0V.0004.ec.fits: ap = 108, w1 = 3582.076, w2 = 3506.523, dw = -0.04579, nw = 1651 A0V.0004.ec.fits: ap = 109, w1 = 3559.841, w2 = 3484.754, dw = -0.04551, nw = 1651 A0V.0004.ec.fits: ap = 110, w1 = 3537.88, w2 = 3463.253, dw = -0.04523, nw = 1651 A0V.0004.ec.fits: ap = 111, w1 = 3516.19, w2 = 3442.017, dw = -0.04495, nw = 1651 A0V.0004.ec.fits: ap = 112, w1 = 3494.765, w2 = 3421.039, dw = -0.04468, nw = 1651 A0V.0004.ec.fits: ap = 113, w1 = 3473.599, w2 = 3400.316, dw = -0.04441, nw = 1651 A0V.0004.ec.fits: ap = 114, w1 = 3452.689, w2 = 3379.843, dw = -0.04415, nw = 1651 A0V.0004.ec.fits: ap = 115, w1 = 3432.029, w2 = 3359.615, dw = -0.04389, nw = 1651 A0V.0005.ec.fits: REFSPEC1 = 'ThAr.0023.ec 1.' A0V.0005.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.46, dw = -0.1383, nw = 1651 A0V.0005.ec.fits: ap = 2, w1 = 10611.46, w2 = 10387.49, dw = -0.13574, nw = 1651 A0V.0005.ec.fits: ap = 3, w1 = 10418.54, w2 = 10198.64, dw = -0.13327, nw = 1651 A0V.0005.ec.fits: ap = 4, w1 = 10232.51, w2 = 10016.54, dw = -0.13089, nw = 1651 A0V.0005.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.829, dw = -0.12859, nw = 1651 A0V.0005.ec.fits: ap = 6, w1 = 9879.694, w2 = 9671.176, dw = -0.12637, nw = 1651 A0V.0005.ec.fits: ap = 7, w1 = 9712.255, w2 = 9507.273, dw = -0.12423, nw = 1651 A0V.0005.ec.fits: ap = 8, w1 = 9550.397, w2 = 9348.834, dw = -0.12216, nw = 1651 A0V.0005.ec.fits: ap = 9, w1 = 9393.846, w2 = 9195.589, dw = -0.12016, nw = 1651 A0V.0005.ec.fits: ap = 10, w1 = 9242.345, w2 = 9047.287, dw = -0.11822, nw = 1651 A0V.0005.ec.fits: ap = 11, w1 = 9095.654, w2 = 8903.694, dw = -0.11634, nw = 1651 A0V.0005.ec.fits: ap = 12, w1 = 8953.546, w2 = 8764.587, dw = -0.11452, nw = 1651 A0V.0005.ec.fits: ap = 13, w1 = 8815.811, w2 = 8629.761, dw = -0.11276, nw = 1651 A0V.0005.ec.fits: ap = 14, w1 = 8682.25, w2 = 8499.021, dw = -0.11105, nw = 1651 A0V.0005.ec.fits: ap = 15, w1 = 8552.676, w2 = 8372.183, dw = -0.10939, nw = 1651 A0V.0005.ec.fits: ap = 16, w1 = 8426.912, w2 = 8249.075, dw = -0.10778, nw = 1651 A0V.0005.ec.fits: ap = 17, w1 = 8304.794, w2 = 8129.536, dw = -0.10622, nw = 1651 A0V.0005.ec.fits: ap = 18, w1 = 8186.165, w2 = 8013.412, dw = -0.1047, nw = 1651 A0V.0005.ec.fits: ap = 19, w1 = 8070.877, w2 = 7900.559, dw = -0.10322, nw = 1651 A0V.0005.ec.fits: ap = 20, w1 = 7958.792, w2 = 7790.841, dw = -0.10179, nw = 1651 A0V.0005.ec.fits: ap = 21, w1 = 7849.778, w2 = 7684.129, dw = -0.10039, nw = 1651 A0V.0005.ec.fits: ap = 22, w1 = 7743.71, w2 = 7580.301, dw = -0.09904, nw = 1651 A0V.0005.ec.fits: ap = 23, w1 = 7640.47, w2 = 7479.242, dw = -0.09771, nw = 1651 A0V.0005.ec.fits: ap = 24, w1 = 7539.947, w2 = 7380.842, dw = -0.09643, nw = 1651 A0V.0005.ec.fits: ap = 25, w1 = 7442.036, w2 = 7284.998, dw = -0.09517, nw = 1651 A0V.0005.ec.fits: ap = 26, w1 = 7346.634, w2 = 7191.612, dw = -0.09395, nw = 1651 A0V.0005.ec.fits: ap = 27, w1 = 7253.648, w2 = 7100.59, dw = -0.09276, nw = 1651 A0V.0005.ec.fits: ap = 28, w1 = 7162.987, w2 = 7011.843, dw = -0.0916, nw = 1651 A0V.0005.ec.fits: ap = 29, w1 = 7074.564, w2 = 6925.288, dw = -0.09047, nw = 1651 A0V.0005.ec.fits: ap = 30, w1 = 6988.298, w2 = 6840.844, dw = -0.08937, nw = 1651 A0V.0005.ec.fits: ap = 31, w1 = 6904.11, w2 = 6758.434, dw = -0.08829, nw = 1651 A0V.0005.ec.fits: ap = 32, w1 = 6821.927, w2 = 6677.987, dw = -0.08724, nw = 1651 A0V.0005.ec.fits: ap = 33, w1 = 6741.678, w2 = 6599.433, dw = -0.08621, nw = 1651 A0V.0005.ec.fits: ap = 34, w1 = 6663.295, w2 = 6522.706, dw = -0.08521, nw = 1651 A0V.0005.ec.fits: ap = 35, w1 = 6586.713, w2 = 6447.742, dw = -0.08423, nw = 1651 A0V.0005.ec.fits: ap = 36, w1 = 6511.873, w2 = 6374.482, dw = -0.08327, nw = 1651 A0V.0005.ec.fits: ap = 37, w1 = 6438.714, w2 = 6302.869, dw = -0.08233, nw = 1651 A0V.0005.ec.fits: ap = 38, w1 = 6367.181, w2 = 6232.847, dw = -0.08141, nw = 1651 A0V.0005.ec.fits: ap = 39, w1 = 6297.22, w2 = 6164.364, dw = -0.08052, nw = 1651 A0V.0005.ec.fits: ap = 40, w1 = 6228.78, w2 = 6097.37, dw = -0.07964, nw = 1651 A0V.0005.ec.fits: ap = 41, w1 = 6161.812, w2 = 6031.817, dw = -0.07878, nw = 1651 A0V.0005.ec.fits: ap = 42, w1 = 6096.269, w2 = 5967.659, dw = -0.07795, nw = 1651 A0V.0005.ec.fits: ap = 43, w1 = 6032.105, w2 = 5904.851, dw = -0.07712, nw = 1651 A0V.0005.ec.fits: ap = 44, w1 = 5969.279, w2 = 5843.352, dw = -0.07632, nw = 1651 A0V.0005.ec.fits: ap = 45, w1 = 5907.748, w2 = 5783.121, dw = -0.07553, nw = 1651 A0V.0005.ec.fits: ap = 46, w1 = 5847.473, w2 = 5724.119, dw = -0.07476, nw = 1651 A0V.0005.ec.fits: ap = 47, w1 = 5788.415, w2 = 5666.309, dw = -0.074, nw = 1651 A0V.0005.ec.fits: ap = 48, w1 = 5730.539, w2 = 5609.656, dw = -0.07326, nw = 1651 A0V.0005.ec.fits: ap = 49, w1 = 5673.808, w2 = 5554.124, dw = -0.07254, nw = 1651 A0V.0005.ec.fits: ap = 50, w1 = 5618.191, w2 = 5499.682, dw = -0.07182, nw = 1651 A0V.0005.ec.fits: ap = 51, w1 = 5563.653, w2 = 5446.296, dw = -0.07113, nw = 1651 A0V.0005.ec.fits: ap = 52, w1 = 5510.164, w2 = 5393.938, dw = -0.07044, nw = 1651 A0V.0005.ec.fits: ap = 53, w1 = 5457.694, w2 = 5342.577, dw = -0.06977, nw = 1651 A0V.0005.ec.fits: ap = 54, w1 = 5406.214, w2 = 5292.184, dw = -0.06911, nw = 1651 A0V.0005.ec.fits: ap = 55, w1 = 5355.697, w2 = 5242.734, dw = -0.06846, nw = 1651 A0V.0005.ec.fits: ap = 56, w1 = 5306.115, w2 = 5194.2, dw = -0.06783, nw = 1651 A0V.0005.ec.fits: ap = 57, w1 = 5257.442, w2 = 5146.557, dw = -0.0672, nw = 1651 A0V.0005.ec.fits: ap = 58, w1 = 5209.655, w2 = 5099.779, dw = -0.06659, nw = 1651 A0V.0005.ec.fits: ap = 59, w1 = 5162.729, w2 = 5053.845, dw = -0.06599, nw = 1651 A0V.0005.ec.fits: ap = 60, w1 = 5116.642, w2 = 5008.731, dw = -0.0654, nw = 1651 A0V.0005.ec.fits: ap = 61, w1 = 5071.369, w2 = 4964.416, dw = -0.06482, nw = 1651 A0V.0005.ec.fits: ap = 62, w1 = 5026.892, w2 = 4920.878, dw = -0.06425, nw = 1651 A0V.0005.ec.fits: ap = 63, w1 = 4983.188, w2 = 4878.097, dw = -0.06369, nw = 1651 A0V.0005.ec.fits: ap = 64, w1 = 4940.237, w2 = 4836.054, dw = -0.06314, nw = 1651 A0V.0005.ec.fits: ap = 65, w1 = 4898.021, w2 = 4794.73, dw = -0.0626, nw = 1651 A0V.0005.ec.fits: ap = 66, w1 = 4856.521, w2 = 4754.106, dw = -0.06207, nw = 1651 A0V.0005.ec.fits: ap = 67, w1 = 4815.718, w2 = 4714.166, dw = -0.06155, nw = 1651 A0V.0005.ec.fits: ap = 68, w1 = 4775.595, w2 = 4674.891, dw = -0.06103, nw = 1651 A0V.0005.ec.fits: ap = 69, w1 = 4736.136, w2 = 4636.265, dw = -0.06053, nw = 1651 A0V.0005.ec.fits: ap = 70, w1 = 4697.324, w2 = 4598.272, dw = -0.06003, nw = 1651 A0V.0005.ec.fits: ap = 71, w1 = 4659.142, w2 = 4560.898, dw = -0.05954, nw = 1651 A0V.0005.ec.fits: ap = 72, w1 = 4621.577, w2 = 4524.126, dw = -0.05906, nw = 1651 A0V.0005.ec.fits: ap = 73, w1 = 4584.613, w2 = 4487.943, dw = -0.05859, nw = 1651 A0V.0005.ec.fits: ap = 74, w1 = 4548.236, w2 = 4452.334, dw = -0.05812, nw = 1651 A0V.0005.ec.fits: ap = 75, w1 = 4512.432, w2 = 4417.286, dw = -0.05766, nw = 1651 A0V.0005.ec.fits: ap = 76, w1 = 4477.188, w2 = 4382.786, dw = -0.05721, nw = 1651 A0V.0005.ec.fits: ap = 77, w1 = 4442.49, w2 = 4348.821, dw = -0.05677, nw = 1651 A0V.0005.ec.fits: ap = 78, w1 = 4408.326, w2 = 4315.378, dw = -0.05633, nw = 1651 A0V.0005.ec.fits: ap = 79, w1 = 4374.684, w2 = 4282.447, dw = -0.0559, nw = 1651 A0V.0005.ec.fits: ap = 80, w1 = 4341.552, w2 = 4250.014, dw = -0.05548, nw = 1651 A0V.0005.ec.fits: ap = 81, w1 = 4308.918, w2 = 4218.069, dw = -0.05506, nw = 1651 A0V.0005.ec.fits: ap = 82, w1 = 4276.772, w2 = 4186.601, dw = -0.05465, nw = 1651 A0V.0005.ec.fits: ap = 83, w1 = 4245.102, w2 = 4155.599, dw = -0.05424, nw = 1651 A0V.0005.ec.fits: ap = 84, w1 = 4213.898, w2 = 4125.053, dw = -0.05385, nw = 1651 A0V.0005.ec.fits: ap = 85, w1 = 4183.149, w2 = 4094.953, dw = -0.05345, nw = 1651 A0V.0005.ec.fits: ap = 86, w1 = 4152.847, w2 = 4065.289, dw = -0.05306, nw = 1651 A0V.0005.ec.fits: ap = 87, w1 = 4122.98, w2 = 4036.053, dw = -0.05268, nw = 1651 A0V.0005.ec.fits: ap = 88, w1 = 4093.541, w2 = 4007.234, dw = -0.05231, nw = 1651 A0V.0005.ec.fits: ap = 89, w1 = 4064.519, w2 = 3978.824, dw = -0.05194, nw = 1651 A0V.0005.ec.fits: ap = 90, w1 = 4035.906, w2 = 3950.814, dw = -0.05157, nw = 1651 A0V.0005.ec.fits: ap = 91, w1 = 4007.694, w2 = 3923.196, dw = -0.05121, nw = 1651 A0V.0005.ec.fits: ap = 92, w1 = 3979.874, w2 = 3895.962, dw = -0.05086, nw = 1651 A0V.0005.ec.fits: ap = 93, w1 = 3952.437, w2 = 3869.104, dw = -0.05051, nw = 1651 A0V.0005.ec.fits: ap = 94, w1 = 3925.377, w2 = 3842.613, dw = -0.05016, nw = 1651 A0V.0005.ec.fits: ap = 95, w1 = 3898.685, w2 = 3816.483, dw = -0.04982, nw = 1651 A0V.0005.ec.fits: ap = 96, w1 = 3872.354, w2 = 3790.706, dw = -0.04948, nw = 1651 A0V.0005.ec.fits: ap = 97, w1 = 3846.377, w2 = 3765.276, dw = -0.04915, nw = 1651 A0V.0005.ec.fits: ap = 98, w1 = 3820.747, w2 = 3740.184, dw = -0.04883, nw = 1651 A0V.0005.ec.fits: ap = 99, w1 = 3795.456, w2 = 3715.425, dw = -0.0485, nw = 1651 A0V.0005.ec.fits: ap = 100, w1 = 3770.498, w2 = 3690.992, dw = -0.04819, nw = 1651 A0V.0005.ec.fits: ap = 101, w1 = 3745.867, w2 = 3666.878, dw = -0.04787, nw = 1651 A0V.0005.ec.fits: ap = 102, w1 = 3721.555, w2 = 3643.077, dw = -0.04756, nw = 1651 A0V.0005.ec.fits: ap = 103, w1 = 3697.558, w2 = 3619.584, dw = -0.04726, nw = 1651 A0V.0005.ec.fits: ap = 104, w1 = 3673.869, w2 = 3596.392, dw = -0.04696, nw = 1651 A0V.0005.ec.fits: ap = 105, w1 = 3650.482, w2 = 3573.495, dw = -0.04666, nw = 1651 A0V.0005.ec.fits: ap = 106, w1 = 3627.391, w2 = 3550.888, dw = -0.04636, nw = 1651 A0V.0005.ec.fits: ap = 107, w1 = 3604.59, w2 = 3528.566, dw = -0.04608, nw = 1651 A0V.0005.ec.fits: ap = 108, w1 = 3582.076, w2 = 3506.523, dw = -0.04579, nw = 1651 A0V.0005.ec.fits: ap = 109, w1 = 3559.841, w2 = 3484.754, dw = -0.04551, nw = 1651 A0V.0005.ec.fits: ap = 110, w1 = 3537.88, w2 = 3463.253, dw = -0.04523, nw = 1651 A0V.0005.ec.fits: ap = 111, w1 = 3516.19, w2 = 3442.017, dw = -0.04495, nw = 1651 A0V.0005.ec.fits: ap = 112, w1 = 3494.765, w2 = 3421.039, dw = -0.04468, nw = 1651 A0V.0005.ec.fits: ap = 113, w1 = 3473.599, w2 = 3400.316, dw = -0.04441, nw = 1651 A0V.0005.ec.fits: ap = 114, w1 = 3452.689, w2 = 3379.843, dw = -0.04415, nw = 1651 A0V.0005.ec.fits: ap = 115, w1 = 3432.029, w2 = 3359.615, dw = -0.04389, nw = 1651 A0V.0006.ec.fits: REFSPEC1 = 'ThAr.0023.ec 1.' A0V.0006.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.46, dw = -0.1383, nw = 1651 A0V.0006.ec.fits: ap = 2, w1 = 10611.46, w2 = 10387.49, dw = -0.13574, nw = 1651 A0V.0006.ec.fits: ap = 3, w1 = 10418.54, w2 = 10198.64, dw = -0.13327, nw = 1651 A0V.0006.ec.fits: ap = 4, w1 = 10232.51, w2 = 10016.54, dw = -0.13089, nw = 1651 A0V.0006.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.829, dw = -0.12859, nw = 1651 A0V.0006.ec.fits: ap = 6, w1 = 9879.694, w2 = 9671.176, dw = -0.12637, nw = 1651 A0V.0006.ec.fits: ap = 7, w1 = 9712.255, w2 = 9507.273, dw = -0.12423, nw = 1651 A0V.0006.ec.fits: ap = 8, w1 = 9550.397, w2 = 9348.834, dw = -0.12216, nw = 1651 A0V.0006.ec.fits: ap = 9, w1 = 9393.846, w2 = 9195.589, dw = -0.12016, nw = 1651 A0V.0006.ec.fits: ap = 10, w1 = 9242.345, w2 = 9047.287, dw = -0.11822, nw = 1651 A0V.0006.ec.fits: ap = 11, w1 = 9095.654, w2 = 8903.694, dw = -0.11634, nw = 1651 A0V.0006.ec.fits: ap = 12, w1 = 8953.546, w2 = 8764.587, dw = -0.11452, nw = 1651 A0V.0006.ec.fits: ap = 13, w1 = 8815.811, w2 = 8629.761, dw = -0.11276, nw = 1651 A0V.0006.ec.fits: ap = 14, w1 = 8682.25, w2 = 8499.021, dw = -0.11105, nw = 1651 A0V.0006.ec.fits: ap = 15, w1 = 8552.676, w2 = 8372.183, dw = -0.10939, nw = 1651 A0V.0006.ec.fits: ap = 16, w1 = 8426.912, w2 = 8249.075, dw = -0.10778, nw = 1651 A0V.0006.ec.fits: ap = 17, w1 = 8304.794, w2 = 8129.536, dw = -0.10622, nw = 1651 A0V.0006.ec.fits: ap = 18, w1 = 8186.165, w2 = 8013.412, dw = -0.1047, nw = 1651 A0V.0006.ec.fits: ap = 19, w1 = 8070.877, w2 = 7900.559, dw = -0.10322, nw = 1651 A0V.0006.ec.fits: ap = 20, w1 = 7958.792, w2 = 7790.841, dw = -0.10179, nw = 1651 A0V.0006.ec.fits: ap = 21, w1 = 7849.778, w2 = 7684.129, dw = -0.10039, nw = 1651 A0V.0006.ec.fits: ap = 22, w1 = 7743.71, w2 = 7580.301, dw = -0.09904, nw = 1651 A0V.0006.ec.fits: ap = 23, w1 = 7640.47, w2 = 7479.242, dw = -0.09771, nw = 1651 A0V.0006.ec.fits: ap = 24, w1 = 7539.947, w2 = 7380.842, dw = -0.09643, nw = 1651 A0V.0006.ec.fits: ap = 25, w1 = 7442.036, w2 = 7284.998, dw = -0.09517, nw = 1651 A0V.0006.ec.fits: ap = 26, w1 = 7346.634, w2 = 7191.612, dw = -0.09395, nw = 1651 A0V.0006.ec.fits: ap = 27, w1 = 7253.648, w2 = 7100.59, dw = -0.09276, nw = 1651 A0V.0006.ec.fits: ap = 28, w1 = 7162.987, w2 = 7011.843, dw = -0.0916, nw = 1651 A0V.0006.ec.fits: ap = 29, w1 = 7074.564, w2 = 6925.288, dw = -0.09047, nw = 1651 A0V.0006.ec.fits: ap = 30, w1 = 6988.298, w2 = 6840.844, dw = -0.08937, nw = 1651 A0V.0006.ec.fits: ap = 31, w1 = 6904.11, w2 = 6758.434, dw = -0.08829, nw = 1651 A0V.0006.ec.fits: ap = 32, w1 = 6821.927, w2 = 6677.987, dw = -0.08724, nw = 1651 A0V.0006.ec.fits: ap = 33, w1 = 6741.678, w2 = 6599.433, dw = -0.08621, nw = 1651 A0V.0006.ec.fits: ap = 34, w1 = 6663.295, w2 = 6522.706, dw = -0.08521, nw = 1651 A0V.0006.ec.fits: ap = 35, w1 = 6586.713, w2 = 6447.742, dw = -0.08423, nw = 1651 A0V.0006.ec.fits: ap = 36, w1 = 6511.873, w2 = 6374.482, dw = -0.08327, nw = 1651 A0V.0006.ec.fits: ap = 37, w1 = 6438.714, w2 = 6302.869, dw = -0.08233, nw = 1651 A0V.0006.ec.fits: ap = 38, w1 = 6367.181, w2 = 6232.847, dw = -0.08141, nw = 1651 A0V.0006.ec.fits: ap = 39, w1 = 6297.22, w2 = 6164.364, dw = -0.08052, nw = 1651 A0V.0006.ec.fits: ap = 40, w1 = 6228.78, w2 = 6097.37, dw = -0.07964, nw = 1651 A0V.0006.ec.fits: ap = 41, w1 = 6161.812, w2 = 6031.817, dw = -0.07878, nw = 1651 A0V.0006.ec.fits: ap = 42, w1 = 6096.269, w2 = 5967.659, dw = -0.07795, nw = 1651 A0V.0006.ec.fits: ap = 43, w1 = 6032.105, w2 = 5904.851, dw = -0.07712, nw = 1651 A0V.0006.ec.fits: ap = 44, w1 = 5969.279, w2 = 5843.352, dw = -0.07632, nw = 1651 A0V.0006.ec.fits: ap = 45, w1 = 5907.748, w2 = 5783.121, dw = -0.07553, nw = 1651 A0V.0006.ec.fits: ap = 46, w1 = 5847.473, w2 = 5724.119, dw = -0.07476, nw = 1651 A0V.0006.ec.fits: ap = 47, w1 = 5788.415, w2 = 5666.309, dw = -0.074, nw = 1651 A0V.0006.ec.fits: ap = 48, w1 = 5730.539, w2 = 5609.656, dw = -0.07326, nw = 1651 A0V.0006.ec.fits: ap = 49, w1 = 5673.808, w2 = 5554.124, dw = -0.07254, nw = 1651 A0V.0006.ec.fits: ap = 50, w1 = 5618.191, w2 = 5499.682, dw = -0.07182, nw = 1651 A0V.0006.ec.fits: ap = 51, w1 = 5563.653, w2 = 5446.296, dw = -0.07113, nw = 1651 A0V.0006.ec.fits: ap = 52, w1 = 5510.164, w2 = 5393.938, dw = -0.07044, nw = 1651 A0V.0006.ec.fits: ap = 53, w1 = 5457.694, w2 = 5342.577, dw = -0.06977, nw = 1651 A0V.0006.ec.fits: ap = 54, w1 = 5406.214, w2 = 5292.184, dw = -0.06911, nw = 1651 A0V.0006.ec.fits: ap = 55, w1 = 5355.697, w2 = 5242.734, dw = -0.06846, nw = 1651 A0V.0006.ec.fits: ap = 56, w1 = 5306.115, w2 = 5194.2, dw = -0.06783, nw = 1651 A0V.0006.ec.fits: ap = 57, w1 = 5257.442, w2 = 5146.557, dw = -0.0672, nw = 1651 A0V.0006.ec.fits: ap = 58, w1 = 5209.655, w2 = 5099.779, dw = -0.06659, nw = 1651 A0V.0006.ec.fits: ap = 59, w1 = 5162.729, w2 = 5053.845, dw = -0.06599, nw = 1651 A0V.0006.ec.fits: ap = 60, w1 = 5116.642, w2 = 5008.731, dw = -0.0654, nw = 1651 A0V.0006.ec.fits: ap = 61, w1 = 5071.369, w2 = 4964.416, dw = -0.06482, nw = 1651 A0V.0006.ec.fits: ap = 62, w1 = 5026.892, w2 = 4920.878, dw = -0.06425, nw = 1651 A0V.0006.ec.fits: ap = 63, w1 = 4983.188, w2 = 4878.097, dw = -0.06369, nw = 1651 A0V.0006.ec.fits: ap = 64, w1 = 4940.237, w2 = 4836.054, dw = -0.06314, nw = 1651 A0V.0006.ec.fits: ap = 65, w1 = 4898.021, w2 = 4794.73, dw = -0.0626, nw = 1651 A0V.0006.ec.fits: ap = 66, w1 = 4856.521, w2 = 4754.106, dw = -0.06207, nw = 1651 A0V.0006.ec.fits: ap = 67, w1 = 4815.718, w2 = 4714.166, dw = -0.06155, nw = 1651 A0V.0006.ec.fits: ap = 68, w1 = 4775.595, w2 = 4674.891, dw = -0.06103, nw = 1651 A0V.0006.ec.fits: ap = 69, w1 = 4736.136, w2 = 4636.265, dw = -0.06053, nw = 1651 A0V.0006.ec.fits: ap = 70, w1 = 4697.324, w2 = 4598.272, dw = -0.06003, nw = 1651 A0V.0006.ec.fits: ap = 71, w1 = 4659.142, w2 = 4560.898, dw = -0.05954, nw = 1651 A0V.0006.ec.fits: ap = 72, w1 = 4621.577, w2 = 4524.126, dw = -0.05906, nw = 1651 A0V.0006.ec.fits: ap = 73, w1 = 4584.613, w2 = 4487.943, dw = -0.05859, nw = 1651 A0V.0006.ec.fits: ap = 74, w1 = 4548.236, w2 = 4452.334, dw = -0.05812, nw = 1651 A0V.0006.ec.fits: ap = 75, w1 = 4512.432, w2 = 4417.286, dw = -0.05766, nw = 1651 A0V.0006.ec.fits: ap = 76, w1 = 4477.188, w2 = 4382.786, dw = -0.05721, nw = 1651 A0V.0006.ec.fits: ap = 77, w1 = 4442.49, w2 = 4348.821, dw = -0.05677, nw = 1651 A0V.0006.ec.fits: ap = 78, w1 = 4408.326, w2 = 4315.378, dw = -0.05633, nw = 1651 A0V.0006.ec.fits: ap = 79, w1 = 4374.684, w2 = 4282.447, dw = -0.0559, nw = 1651 A0V.0006.ec.fits: ap = 80, w1 = 4341.552, w2 = 4250.014, dw = -0.05548, nw = 1651 A0V.0006.ec.fits: ap = 81, w1 = 4308.918, w2 = 4218.069, dw = -0.05506, nw = 1651 A0V.0006.ec.fits: ap = 82, w1 = 4276.772, w2 = 4186.601, dw = -0.05465, nw = 1651 A0V.0006.ec.fits: ap = 83, w1 = 4245.102, w2 = 4155.599, dw = -0.05424, nw = 1651 A0V.0006.ec.fits: ap = 84, w1 = 4213.898, w2 = 4125.053, dw = -0.05385, nw = 1651 A0V.0006.ec.fits: ap = 85, w1 = 4183.149, w2 = 4094.953, dw = -0.05345, nw = 1651 A0V.0006.ec.fits: ap = 86, w1 = 4152.847, w2 = 4065.289, dw = -0.05306, nw = 1651 A0V.0006.ec.fits: ap = 87, w1 = 4122.98, w2 = 4036.053, dw = -0.05268, nw = 1651 A0V.0006.ec.fits: ap = 88, w1 = 4093.541, w2 = 4007.234, dw = -0.05231, nw = 1651 A0V.0006.ec.fits: ap = 89, w1 = 4064.519, w2 = 3978.824, dw = -0.05194, nw = 1651 A0V.0006.ec.fits: ap = 90, w1 = 4035.906, w2 = 3950.814, dw = -0.05157, nw = 1651 A0V.0006.ec.fits: ap = 91, w1 = 4007.694, w2 = 3923.196, dw = -0.05121, nw = 1651 A0V.0006.ec.fits: ap = 92, w1 = 3979.874, w2 = 3895.962, dw = -0.05086, nw = 1651 A0V.0006.ec.fits: ap = 93, w1 = 3952.437, w2 = 3869.104, dw = -0.05051, nw = 1651 A0V.0006.ec.fits: ap = 94, w1 = 3925.377, w2 = 3842.613, dw = -0.05016, nw = 1651 A0V.0006.ec.fits: ap = 95, w1 = 3898.685, w2 = 3816.483, dw = -0.04982, nw = 1651 A0V.0006.ec.fits: ap = 96, w1 = 3872.354, w2 = 3790.706, dw = -0.04948, nw = 1651 A0V.0006.ec.fits: ap = 97, w1 = 3846.377, w2 = 3765.276, dw = -0.04915, nw = 1651 A0V.0006.ec.fits: ap = 98, w1 = 3820.747, w2 = 3740.184, dw = -0.04883, nw = 1651 A0V.0006.ec.fits: ap = 99, w1 = 3795.456, w2 = 3715.425, dw = -0.0485, nw = 1651 A0V.0006.ec.fits: ap = 100, w1 = 3770.498, w2 = 3690.992, dw = -0.04819, nw = 1651 A0V.0006.ec.fits: ap = 101, w1 = 3745.867, w2 = 3666.878, dw = -0.04787, nw = 1651 A0V.0006.ec.fits: ap = 102, w1 = 3721.555, w2 = 3643.077, dw = -0.04756, nw = 1651 A0V.0006.ec.fits: ap = 103, w1 = 3697.558, w2 = 3619.584, dw = -0.04726, nw = 1651 A0V.0006.ec.fits: ap = 104, w1 = 3673.869, w2 = 3596.392, dw = -0.04696, nw = 1651 A0V.0006.ec.fits: ap = 105, w1 = 3650.482, w2 = 3573.495, dw = -0.04666, nw = 1651 A0V.0006.ec.fits: ap = 106, w1 = 3627.391, w2 = 3550.888, dw = -0.04636, nw = 1651 A0V.0006.ec.fits: ap = 107, w1 = 3604.59, w2 = 3528.566, dw = -0.04608, nw = 1651 A0V.0006.ec.fits: ap = 108, w1 = 3582.076, w2 = 3506.523, dw = -0.04579, nw = 1651 A0V.0006.ec.fits: ap = 109, w1 = 3559.841, w2 = 3484.754, dw = -0.04551, nw = 1651 A0V.0006.ec.fits: ap = 110, w1 = 3537.88, w2 = 3463.253, dw = -0.04523, nw = 1651 A0V.0006.ec.fits: ap = 111, w1 = 3516.19, w2 = 3442.017, dw = -0.04495, nw = 1651 A0V.0006.ec.fits: ap = 112, w1 = 3494.765, w2 = 3421.039, dw = -0.04468, nw = 1651 A0V.0006.ec.fits: ap = 113, w1 = 3473.599, w2 = 3400.316, dw = -0.04441, nw = 1651 A0V.0006.ec.fits: ap = 114, w1 = 3452.689, w2 = 3379.843, dw = -0.04415, nw = 1651 A0V.0006.ec.fits: ap = 115, w1 = 3432.029, w2 = 3359.615, dw = -0.04389, nw = 1651 A0V.0007.ec.fits: REFSPEC1 = 'ThAr.0023.ec 1.' A0V.0007.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.46, dw = -0.1383, nw = 1651 A0V.0007.ec.fits: ap = 2, w1 = 10611.46, w2 = 10387.49, dw = -0.13574, nw = 1651 A0V.0007.ec.fits: ap = 3, w1 = 10418.54, w2 = 10198.64, dw = -0.13327, nw = 1651 A0V.0007.ec.fits: ap = 4, w1 = 10232.51, w2 = 10016.54, dw = -0.13089, nw = 1651 A0V.0007.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.829, dw = -0.12859, nw = 1651 A0V.0007.ec.fits: ap = 6, w1 = 9879.694, w2 = 9671.176, dw = -0.12637, nw = 1651 A0V.0007.ec.fits: ap = 7, w1 = 9712.255, w2 = 9507.273, dw = -0.12423, nw = 1651 A0V.0007.ec.fits: ap = 8, w1 = 9550.397, w2 = 9348.834, dw = -0.12216, nw = 1651 A0V.0007.ec.fits: ap = 9, w1 = 9393.846, w2 = 9195.589, dw = -0.12016, nw = 1651 A0V.0007.ec.fits: ap = 10, w1 = 9242.345, w2 = 9047.287, dw = -0.11822, nw = 1651 A0V.0007.ec.fits: ap = 11, w1 = 9095.654, w2 = 8903.694, dw = -0.11634, nw = 1651 A0V.0007.ec.fits: ap = 12, w1 = 8953.546, w2 = 8764.587, dw = -0.11452, nw = 1651 A0V.0007.ec.fits: ap = 13, w1 = 8815.811, w2 = 8629.761, dw = -0.11276, nw = 1651 A0V.0007.ec.fits: ap = 14, w1 = 8682.25, w2 = 8499.021, dw = -0.11105, nw = 1651 A0V.0007.ec.fits: ap = 15, w1 = 8552.676, w2 = 8372.183, dw = -0.10939, nw = 1651 A0V.0007.ec.fits: ap = 16, w1 = 8426.912, w2 = 8249.075, dw = -0.10778, nw = 1651 A0V.0007.ec.fits: ap = 17, w1 = 8304.794, w2 = 8129.536, dw = -0.10622, nw = 1651 A0V.0007.ec.fits: ap = 18, w1 = 8186.165, w2 = 8013.412, dw = -0.1047, nw = 1651 A0V.0007.ec.fits: ap = 19, w1 = 8070.877, w2 = 7900.559, dw = -0.10322, nw = 1651 A0V.0007.ec.fits: ap = 20, w1 = 7958.792, w2 = 7790.841, dw = -0.10179, nw = 1651 A0V.0007.ec.fits: ap = 21, w1 = 7849.778, w2 = 7684.129, dw = -0.10039, nw = 1651 A0V.0007.ec.fits: ap = 22, w1 = 7743.71, w2 = 7580.301, dw = -0.09904, nw = 1651 A0V.0007.ec.fits: ap = 23, w1 = 7640.47, w2 = 7479.242, dw = -0.09771, nw = 1651 A0V.0007.ec.fits: ap = 24, w1 = 7539.947, w2 = 7380.842, dw = -0.09643, nw = 1651 A0V.0007.ec.fits: ap = 25, w1 = 7442.036, w2 = 7284.998, dw = -0.09517, nw = 1651 A0V.0007.ec.fits: ap = 26, w1 = 7346.634, w2 = 7191.612, dw = -0.09395, nw = 1651 A0V.0007.ec.fits: ap = 27, w1 = 7253.648, w2 = 7100.59, dw = -0.09276, nw = 1651 A0V.0007.ec.fits: ap = 28, w1 = 7162.987, w2 = 7011.843, dw = -0.0916, nw = 1651 A0V.0007.ec.fits: ap = 29, w1 = 7074.564, w2 = 6925.288, dw = -0.09047, nw = 1651 A0V.0007.ec.fits: ap = 30, w1 = 6988.298, w2 = 6840.844, dw = -0.08937, nw = 1651 A0V.0007.ec.fits: ap = 31, w1 = 6904.11, w2 = 6758.434, dw = -0.08829, nw = 1651 A0V.0007.ec.fits: ap = 32, w1 = 6821.927, w2 = 6677.987, dw = -0.08724, nw = 1651 A0V.0007.ec.fits: ap = 33, w1 = 6741.678, w2 = 6599.433, dw = -0.08621, nw = 1651 A0V.0007.ec.fits: ap = 34, w1 = 6663.295, w2 = 6522.706, dw = -0.08521, nw = 1651 A0V.0007.ec.fits: ap = 35, w1 = 6586.713, w2 = 6447.742, dw = -0.08423, nw = 1651 A0V.0007.ec.fits: ap = 36, w1 = 6511.873, w2 = 6374.482, dw = -0.08327, nw = 1651 A0V.0007.ec.fits: ap = 37, w1 = 6438.714, w2 = 6302.869, dw = -0.08233, nw = 1651 A0V.0007.ec.fits: ap = 38, w1 = 6367.181, w2 = 6232.847, dw = -0.08141, nw = 1651 A0V.0007.ec.fits: ap = 39, w1 = 6297.22, w2 = 6164.364, dw = -0.08052, nw = 1651 A0V.0007.ec.fits: ap = 40, w1 = 6228.78, w2 = 6097.37, dw = -0.07964, nw = 1651 A0V.0007.ec.fits: ap = 41, w1 = 6161.812, w2 = 6031.817, dw = -0.07878, nw = 1651 A0V.0007.ec.fits: ap = 42, w1 = 6096.269, w2 = 5967.659, dw = -0.07795, nw = 1651 A0V.0007.ec.fits: ap = 43, w1 = 6032.105, w2 = 5904.851, dw = -0.07712, nw = 1651 A0V.0007.ec.fits: ap = 44, w1 = 5969.279, w2 = 5843.352, dw = -0.07632, nw = 1651 A0V.0007.ec.fits: ap = 45, w1 = 5907.748, w2 = 5783.121, dw = -0.07553, nw = 1651 A0V.0007.ec.fits: ap = 46, w1 = 5847.473, w2 = 5724.119, dw = -0.07476, nw = 1651 A0V.0007.ec.fits: ap = 47, w1 = 5788.415, w2 = 5666.309, dw = -0.074, nw = 1651 A0V.0007.ec.fits: ap = 48, w1 = 5730.539, w2 = 5609.656, dw = -0.07326, nw = 1651 A0V.0007.ec.fits: ap = 49, w1 = 5673.808, w2 = 5554.124, dw = -0.07254, nw = 1651 A0V.0007.ec.fits: ap = 50, w1 = 5618.191, w2 = 5499.682, dw = -0.07182, nw = 1651 A0V.0007.ec.fits: ap = 51, w1 = 5563.653, w2 = 5446.296, dw = -0.07113, nw = 1651 A0V.0007.ec.fits: ap = 52, w1 = 5510.164, w2 = 5393.938, dw = -0.07044, nw = 1651 A0V.0007.ec.fits: ap = 53, w1 = 5457.694, w2 = 5342.577, dw = -0.06977, nw = 1651 A0V.0007.ec.fits: ap = 54, w1 = 5406.214, w2 = 5292.184, dw = -0.06911, nw = 1651 A0V.0007.ec.fits: ap = 55, w1 = 5355.697, w2 = 5242.734, dw = -0.06846, nw = 1651 A0V.0007.ec.fits: ap = 56, w1 = 5306.115, w2 = 5194.2, dw = -0.06783, nw = 1651 A0V.0007.ec.fits: ap = 57, w1 = 5257.442, w2 = 5146.557, dw = -0.0672, nw = 1651 A0V.0007.ec.fits: ap = 58, w1 = 5209.655, w2 = 5099.779, dw = -0.06659, nw = 1651 A0V.0007.ec.fits: ap = 59, w1 = 5162.729, w2 = 5053.845, dw = -0.06599, nw = 1651 A0V.0007.ec.fits: ap = 60, w1 = 5116.642, w2 = 5008.731, dw = -0.0654, nw = 1651 A0V.0007.ec.fits: ap = 61, w1 = 5071.369, w2 = 4964.416, dw = -0.06482, nw = 1651 A0V.0007.ec.fits: ap = 62, w1 = 5026.892, w2 = 4920.878, dw = -0.06425, nw = 1651 A0V.0007.ec.fits: ap = 63, w1 = 4983.188, w2 = 4878.097, dw = -0.06369, nw = 1651 A0V.0007.ec.fits: ap = 64, w1 = 4940.237, w2 = 4836.054, dw = -0.06314, nw = 1651 A0V.0007.ec.fits: ap = 65, w1 = 4898.021, w2 = 4794.73, dw = -0.0626, nw = 1651 A0V.0007.ec.fits: ap = 66, w1 = 4856.521, w2 = 4754.106, dw = -0.06207, nw = 1651 A0V.0007.ec.fits: ap = 67, w1 = 4815.718, w2 = 4714.166, dw = -0.06155, nw = 1651 A0V.0007.ec.fits: ap = 68, w1 = 4775.595, w2 = 4674.891, dw = -0.06103, nw = 1651 A0V.0007.ec.fits: ap = 69, w1 = 4736.136, w2 = 4636.265, dw = -0.06053, nw = 1651 A0V.0007.ec.fits: ap = 70, w1 = 4697.324, w2 = 4598.272, dw = -0.06003, nw = 1651 A0V.0007.ec.fits: ap = 71, w1 = 4659.142, w2 = 4560.898, dw = -0.05954, nw = 1651 A0V.0007.ec.fits: ap = 72, w1 = 4621.577, w2 = 4524.126, dw = -0.05906, nw = 1651 A0V.0007.ec.fits: ap = 73, w1 = 4584.613, w2 = 4487.943, dw = -0.05859, nw = 1651 A0V.0007.ec.fits: ap = 74, w1 = 4548.236, w2 = 4452.334, dw = -0.05812, nw = 1651 A0V.0007.ec.fits: ap = 75, w1 = 4512.432, w2 = 4417.286, dw = -0.05766, nw = 1651 A0V.0007.ec.fits: ap = 76, w1 = 4477.188, w2 = 4382.786, dw = -0.05721, nw = 1651 A0V.0007.ec.fits: ap = 77, w1 = 4442.49, w2 = 4348.821, dw = -0.05677, nw = 1651 A0V.0007.ec.fits: ap = 78, w1 = 4408.326, w2 = 4315.378, dw = -0.05633, nw = 1651 A0V.0007.ec.fits: ap = 79, w1 = 4374.684, w2 = 4282.447, dw = -0.0559, nw = 1651 A0V.0007.ec.fits: ap = 80, w1 = 4341.552, w2 = 4250.014, dw = -0.05548, nw = 1651 A0V.0007.ec.fits: ap = 81, w1 = 4308.918, w2 = 4218.069, dw = -0.05506, nw = 1651 A0V.0007.ec.fits: ap = 82, w1 = 4276.772, w2 = 4186.601, dw = -0.05465, nw = 1651 A0V.0007.ec.fits: ap = 83, w1 = 4245.102, w2 = 4155.599, dw = -0.05424, nw = 1651 A0V.0007.ec.fits: ap = 84, w1 = 4213.898, w2 = 4125.053, dw = -0.05385, nw = 1651 A0V.0007.ec.fits: ap = 85, w1 = 4183.149, w2 = 4094.953, dw = -0.05345, nw = 1651 A0V.0007.ec.fits: ap = 86, w1 = 4152.847, w2 = 4065.289, dw = -0.05306, nw = 1651 A0V.0007.ec.fits: ap = 87, w1 = 4122.98, w2 = 4036.053, dw = -0.05268, nw = 1651 A0V.0007.ec.fits: ap = 88, w1 = 4093.541, w2 = 4007.234, dw = -0.05231, nw = 1651 A0V.0007.ec.fits: ap = 89, w1 = 4064.519, w2 = 3978.824, dw = -0.05194, nw = 1651 A0V.0007.ec.fits: ap = 90, w1 = 4035.906, w2 = 3950.814, dw = -0.05157, nw = 1651 A0V.0007.ec.fits: ap = 91, w1 = 4007.694, w2 = 3923.196, dw = -0.05121, nw = 1651 A0V.0007.ec.fits: ap = 92, w1 = 3979.874, w2 = 3895.962, dw = -0.05086, nw = 1651 A0V.0007.ec.fits: ap = 93, w1 = 3952.437, w2 = 3869.104, dw = -0.05051, nw = 1651 A0V.0007.ec.fits: ap = 94, w1 = 3925.377, w2 = 3842.613, dw = -0.05016, nw = 1651 A0V.0007.ec.fits: ap = 95, w1 = 3898.685, w2 = 3816.483, dw = -0.04982, nw = 1651 A0V.0007.ec.fits: ap = 96, w1 = 3872.354, w2 = 3790.706, dw = -0.04948, nw = 1651 A0V.0007.ec.fits: ap = 97, w1 = 3846.377, w2 = 3765.276, dw = -0.04915, nw = 1651 A0V.0007.ec.fits: ap = 98, w1 = 3820.747, w2 = 3740.184, dw = -0.04883, nw = 1651 A0V.0007.ec.fits: ap = 99, w1 = 3795.456, w2 = 3715.425, dw = -0.0485, nw = 1651 A0V.0007.ec.fits: ap = 100, w1 = 3770.498, w2 = 3690.992, dw = -0.04819, nw = 1651 A0V.0007.ec.fits: ap = 101, w1 = 3745.867, w2 = 3666.878, dw = -0.04787, nw = 1651 A0V.0007.ec.fits: ap = 102, w1 = 3721.555, w2 = 3643.077, dw = -0.04756, nw = 1651 A0V.0007.ec.fits: ap = 103, w1 = 3697.558, w2 = 3619.584, dw = -0.04726, nw = 1651 A0V.0007.ec.fits: ap = 104, w1 = 3673.869, w2 = 3596.392, dw = -0.04696, nw = 1651 A0V.0007.ec.fits: ap = 105, w1 = 3650.482, w2 = 3573.495, dw = -0.04666, nw = 1651 A0V.0007.ec.fits: ap = 106, w1 = 3627.391, w2 = 3550.888, dw = -0.04636, nw = 1651 A0V.0007.ec.fits: ap = 107, w1 = 3604.59, w2 = 3528.566, dw = -0.04608, nw = 1651 A0V.0007.ec.fits: ap = 108, w1 = 3582.076, w2 = 3506.523, dw = -0.04579, nw = 1651 A0V.0007.ec.fits: ap = 109, w1 = 3559.841, w2 = 3484.754, dw = -0.04551, nw = 1651 A0V.0007.ec.fits: ap = 110, w1 = 3537.88, w2 = 3463.253, dw = -0.04523, nw = 1651 A0V.0007.ec.fits: ap = 111, w1 = 3516.19, w2 = 3442.017, dw = -0.04495, nw = 1651 A0V.0007.ec.fits: ap = 112, w1 = 3494.765, w2 = 3421.039, dw = -0.04468, nw = 1651 A0V.0007.ec.fits: ap = 113, w1 = 3473.599, w2 = 3400.316, dw = -0.04441, nw = 1651 A0V.0007.ec.fits: ap = 114, w1 = 3452.689, w2 = 3379.843, dw = -0.04415, nw = 1651 A0V.0007.ec.fits: ap = 115, w1 = 3432.029, w2 = 3359.615, dw = -0.04389, nw = 1651 A0V.0008.ec.fits: REFSPEC1 = 'ThAr.0023.ec 1.' A0V.0008.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.46, dw = -0.1383, nw = 1651 A0V.0008.ec.fits: ap = 2, w1 = 10611.46, w2 = 10387.49, dw = -0.13574, nw = 1651 A0V.0008.ec.fits: ap = 3, w1 = 10418.54, w2 = 10198.64, dw = -0.13327, nw = 1651 A0V.0008.ec.fits: ap = 4, w1 = 10232.51, w2 = 10016.54, dw = -0.13089, nw = 1651 A0V.0008.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.829, dw = -0.12859, nw = 1651 A0V.0008.ec.fits: ap = 6, w1 = 9879.694, w2 = 9671.176, dw = -0.12637, nw = 1651 A0V.0008.ec.fits: ap = 7, w1 = 9712.255, w2 = 9507.273, dw = -0.12423, nw = 1651 A0V.0008.ec.fits: ap = 8, w1 = 9550.397, w2 = 9348.834, dw = -0.12216, nw = 1651 A0V.0008.ec.fits: ap = 9, w1 = 9393.846, w2 = 9195.589, dw = -0.12016, nw = 1651 A0V.0008.ec.fits: ap = 10, w1 = 9242.345, w2 = 9047.287, dw = -0.11822, nw = 1651 A0V.0008.ec.fits: ap = 11, w1 = 9095.654, w2 = 8903.694, dw = -0.11634, nw = 1651 A0V.0008.ec.fits: ap = 12, w1 = 8953.546, w2 = 8764.587, dw = -0.11452, nw = 1651 A0V.0008.ec.fits: ap = 13, w1 = 8815.811, w2 = 8629.761, dw = -0.11276, nw = 1651 A0V.0008.ec.fits: ap = 14, w1 = 8682.25, w2 = 8499.021, dw = -0.11105, nw = 1651 A0V.0008.ec.fits: ap = 15, w1 = 8552.676, w2 = 8372.183, dw = -0.10939, nw = 1651 A0V.0008.ec.fits: ap = 16, w1 = 8426.912, w2 = 8249.075, dw = -0.10778, nw = 1651 A0V.0008.ec.fits: ap = 17, w1 = 8304.794, w2 = 8129.536, dw = -0.10622, nw = 1651 A0V.0008.ec.fits: ap = 18, w1 = 8186.165, w2 = 8013.412, dw = -0.1047, nw = 1651 A0V.0008.ec.fits: ap = 19, w1 = 8070.877, w2 = 7900.559, dw = -0.10322, nw = 1651 A0V.0008.ec.fits: ap = 20, w1 = 7958.792, w2 = 7790.841, dw = -0.10179, nw = 1651 A0V.0008.ec.fits: ap = 21, w1 = 7849.778, w2 = 7684.129, dw = -0.10039, nw = 1651 A0V.0008.ec.fits: ap = 22, w1 = 7743.71, w2 = 7580.301, dw = -0.09904, nw = 1651 A0V.0008.ec.fits: ap = 23, w1 = 7640.47, w2 = 7479.242, dw = -0.09771, nw = 1651 A0V.0008.ec.fits: ap = 24, w1 = 7539.947, w2 = 7380.842, dw = -0.09643, nw = 1651 A0V.0008.ec.fits: ap = 25, w1 = 7442.036, w2 = 7284.998, dw = -0.09517, nw = 1651 A0V.0008.ec.fits: ap = 26, w1 = 7346.634, w2 = 7191.612, dw = -0.09395, nw = 1651 A0V.0008.ec.fits: ap = 27, w1 = 7253.648, w2 = 7100.59, dw = -0.09276, nw = 1651 A0V.0008.ec.fits: ap = 28, w1 = 7162.987, w2 = 7011.843, dw = -0.0916, nw = 1651 A0V.0008.ec.fits: ap = 29, w1 = 7074.564, w2 = 6925.288, dw = -0.09047, nw = 1651 A0V.0008.ec.fits: ap = 30, w1 = 6988.298, w2 = 6840.844, dw = -0.08937, nw = 1651 A0V.0008.ec.fits: ap = 31, w1 = 6904.11, w2 = 6758.434, dw = -0.08829, nw = 1651 A0V.0008.ec.fits: ap = 32, w1 = 6821.927, w2 = 6677.987, dw = -0.08724, nw = 1651 A0V.0008.ec.fits: ap = 33, w1 = 6741.678, w2 = 6599.433, dw = -0.08621, nw = 1651 A0V.0008.ec.fits: ap = 34, w1 = 6663.295, w2 = 6522.706, dw = -0.08521, nw = 1651 A0V.0008.ec.fits: ap = 35, w1 = 6586.713, w2 = 6447.742, dw = -0.08423, nw = 1651 A0V.0008.ec.fits: ap = 36, w1 = 6511.873, w2 = 6374.482, dw = -0.08327, nw = 1651 A0V.0008.ec.fits: ap = 37, w1 = 6438.714, w2 = 6302.869, dw = -0.08233, nw = 1651 A0V.0008.ec.fits: ap = 38, w1 = 6367.181, w2 = 6232.847, dw = -0.08141, nw = 1651 A0V.0008.ec.fits: ap = 39, w1 = 6297.22, w2 = 6164.364, dw = -0.08052, nw = 1651 A0V.0008.ec.fits: ap = 40, w1 = 6228.78, w2 = 6097.37, dw = -0.07964, nw = 1651 A0V.0008.ec.fits: ap = 41, w1 = 6161.812, w2 = 6031.817, dw = -0.07878, nw = 1651 A0V.0008.ec.fits: ap = 42, w1 = 6096.269, w2 = 5967.659, dw = -0.07795, nw = 1651 A0V.0008.ec.fits: ap = 43, w1 = 6032.105, w2 = 5904.851, dw = -0.07712, nw = 1651 A0V.0008.ec.fits: ap = 44, w1 = 5969.279, w2 = 5843.352, dw = -0.07632, nw = 1651 A0V.0008.ec.fits: ap = 45, w1 = 5907.748, w2 = 5783.121, dw = -0.07553, nw = 1651 A0V.0008.ec.fits: ap = 46, w1 = 5847.473, w2 = 5724.119, dw = -0.07476, nw = 1651 A0V.0008.ec.fits: ap = 47, w1 = 5788.415, w2 = 5666.309, dw = -0.074, nw = 1651 A0V.0008.ec.fits: ap = 48, w1 = 5730.539, w2 = 5609.656, dw = -0.07326, nw = 1651 A0V.0008.ec.fits: ap = 49, w1 = 5673.808, w2 = 5554.124, dw = -0.07254, nw = 1651 A0V.0008.ec.fits: ap = 50, w1 = 5618.191, w2 = 5499.682, dw = -0.07182, nw = 1651 A0V.0008.ec.fits: ap = 51, w1 = 5563.653, w2 = 5446.296, dw = -0.07113, nw = 1651 A0V.0008.ec.fits: ap = 52, w1 = 5510.164, w2 = 5393.938, dw = -0.07044, nw = 1651 A0V.0008.ec.fits: ap = 53, w1 = 5457.694, w2 = 5342.577, dw = -0.06977, nw = 1651 A0V.0008.ec.fits: ap = 54, w1 = 5406.214, w2 = 5292.184, dw = -0.06911, nw = 1651 A0V.0008.ec.fits: ap = 55, w1 = 5355.697, w2 = 5242.734, dw = -0.06846, nw = 1651 A0V.0008.ec.fits: ap = 56, w1 = 5306.115, w2 = 5194.2, dw = -0.06783, nw = 1651 A0V.0008.ec.fits: ap = 57, w1 = 5257.442, w2 = 5146.557, dw = -0.0672, nw = 1651 A0V.0008.ec.fits: ap = 58, w1 = 5209.655, w2 = 5099.779, dw = -0.06659, nw = 1651 A0V.0008.ec.fits: ap = 59, w1 = 5162.729, w2 = 5053.845, dw = -0.06599, nw = 1651 A0V.0008.ec.fits: ap = 60, w1 = 5116.642, w2 = 5008.731, dw = -0.0654, nw = 1651 A0V.0008.ec.fits: ap = 61, w1 = 5071.369, w2 = 4964.416, dw = -0.06482, nw = 1651 A0V.0008.ec.fits: ap = 62, w1 = 5026.892, w2 = 4920.878, dw = -0.06425, nw = 1651 A0V.0008.ec.fits: ap = 63, w1 = 4983.188, w2 = 4878.097, dw = -0.06369, nw = 1651 A0V.0008.ec.fits: ap = 64, w1 = 4940.237, w2 = 4836.054, dw = -0.06314, nw = 1651 A0V.0008.ec.fits: ap = 65, w1 = 4898.021, w2 = 4794.73, dw = -0.0626, nw = 1651 A0V.0008.ec.fits: ap = 66, w1 = 4856.521, w2 = 4754.106, dw = -0.06207, nw = 1651 A0V.0008.ec.fits: ap = 67, w1 = 4815.718, w2 = 4714.166, dw = -0.06155, nw = 1651 A0V.0008.ec.fits: ap = 68, w1 = 4775.595, w2 = 4674.891, dw = -0.06103, nw = 1651 A0V.0008.ec.fits: ap = 69, w1 = 4736.136, w2 = 4636.265, dw = -0.06053, nw = 1651 A0V.0008.ec.fits: ap = 70, w1 = 4697.324, w2 = 4598.272, dw = -0.06003, nw = 1651 A0V.0008.ec.fits: ap = 71, w1 = 4659.142, w2 = 4560.898, dw = -0.05954, nw = 1651 A0V.0008.ec.fits: ap = 72, w1 = 4621.577, w2 = 4524.126, dw = -0.05906, nw = 1651 A0V.0008.ec.fits: ap = 73, w1 = 4584.613, w2 = 4487.943, dw = -0.05859, nw = 1651 A0V.0008.ec.fits: ap = 74, w1 = 4548.236, w2 = 4452.334, dw = -0.05812, nw = 1651 A0V.0008.ec.fits: ap = 75, w1 = 4512.432, w2 = 4417.286, dw = -0.05766, nw = 1651 A0V.0008.ec.fits: ap = 76, w1 = 4477.188, w2 = 4382.786, dw = -0.05721, nw = 1651 A0V.0008.ec.fits: ap = 77, w1 = 4442.49, w2 = 4348.821, dw = -0.05677, nw = 1651 A0V.0008.ec.fits: ap = 78, w1 = 4408.326, w2 = 4315.378, dw = -0.05633, nw = 1651 A0V.0008.ec.fits: ap = 79, w1 = 4374.684, w2 = 4282.447, dw = -0.0559, nw = 1651 A0V.0008.ec.fits: ap = 80, w1 = 4341.552, w2 = 4250.014, dw = -0.05548, nw = 1651 A0V.0008.ec.fits: ap = 81, w1 = 4308.918, w2 = 4218.069, dw = -0.05506, nw = 1651 A0V.0008.ec.fits: ap = 82, w1 = 4276.772, w2 = 4186.601, dw = -0.05465, nw = 1651 A0V.0008.ec.fits: ap = 83, w1 = 4245.102, w2 = 4155.599, dw = -0.05424, nw = 1651 A0V.0008.ec.fits: ap = 84, w1 = 4213.898, w2 = 4125.053, dw = -0.05385, nw = 1651 A0V.0008.ec.fits: ap = 85, w1 = 4183.149, w2 = 4094.953, dw = -0.05345, nw = 1651 A0V.0008.ec.fits: ap = 86, w1 = 4152.847, w2 = 4065.289, dw = -0.05306, nw = 1651 A0V.0008.ec.fits: ap = 87, w1 = 4122.98, w2 = 4036.053, dw = -0.05268, nw = 1651 A0V.0008.ec.fits: ap = 88, w1 = 4093.541, w2 = 4007.234, dw = -0.05231, nw = 1651 A0V.0008.ec.fits: ap = 89, w1 = 4064.519, w2 = 3978.824, dw = -0.05194, nw = 1651 A0V.0008.ec.fits: ap = 90, w1 = 4035.906, w2 = 3950.814, dw = -0.05157, nw = 1651 A0V.0008.ec.fits: ap = 91, w1 = 4007.694, w2 = 3923.196, dw = -0.05121, nw = 1651 A0V.0008.ec.fits: ap = 92, w1 = 3979.874, w2 = 3895.962, dw = -0.05086, nw = 1651 A0V.0008.ec.fits: ap = 93, w1 = 3952.437, w2 = 3869.104, dw = -0.05051, nw = 1651 A0V.0008.ec.fits: ap = 94, w1 = 3925.377, w2 = 3842.613, dw = -0.05016, nw = 1651 A0V.0008.ec.fits: ap = 95, w1 = 3898.685, w2 = 3816.483, dw = -0.04982, nw = 1651 A0V.0008.ec.fits: ap = 96, w1 = 3872.354, w2 = 3790.706, dw = -0.04948, nw = 1651 A0V.0008.ec.fits: ap = 97, w1 = 3846.377, w2 = 3765.276, dw = -0.04915, nw = 1651 A0V.0008.ec.fits: ap = 98, w1 = 3820.747, w2 = 3740.184, dw = -0.04883, nw = 1651 A0V.0008.ec.fits: ap = 99, w1 = 3795.456, w2 = 3715.425, dw = -0.0485, nw = 1651 A0V.0008.ec.fits: ap = 100, w1 = 3770.498, w2 = 3690.992, dw = -0.04819, nw = 1651 A0V.0008.ec.fits: ap = 101, w1 = 3745.867, w2 = 3666.878, dw = -0.04787, nw = 1651 A0V.0008.ec.fits: ap = 102, w1 = 3721.555, w2 = 3643.077, dw = -0.04756, nw = 1651 A0V.0008.ec.fits: ap = 103, w1 = 3697.558, w2 = 3619.584, dw = -0.04726, nw = 1651 A0V.0008.ec.fits: ap = 104, w1 = 3673.869, w2 = 3596.392, dw = -0.04696, nw = 1651 A0V.0008.ec.fits: ap = 105, w1 = 3650.482, w2 = 3573.495, dw = -0.04666, nw = 1651 A0V.0008.ec.fits: ap = 106, w1 = 3627.391, w2 = 3550.888, dw = -0.04636, nw = 1651 A0V.0008.ec.fits: ap = 107, w1 = 3604.59, w2 = 3528.566, dw = -0.04608, nw = 1651 A0V.0008.ec.fits: ap = 108, w1 = 3582.076, w2 = 3506.523, dw = -0.04579, nw = 1651 A0V.0008.ec.fits: ap = 109, w1 = 3559.841, w2 = 3484.754, dw = -0.04551, nw = 1651 A0V.0008.ec.fits: ap = 110, w1 = 3537.88, w2 = 3463.253, dw = -0.04523, nw = 1651 A0V.0008.ec.fits: ap = 111, w1 = 3516.19, w2 = 3442.017, dw = -0.04495, nw = 1651 A0V.0008.ec.fits: ap = 112, w1 = 3494.765, w2 = 3421.039, dw = -0.04468, nw = 1651 A0V.0008.ec.fits: ap = 113, w1 = 3473.599, w2 = 3400.316, dw = -0.04441, nw = 1651 A0V.0008.ec.fits: ap = 114, w1 = 3452.689, w2 = 3379.843, dw = -0.04415, nw = 1651 A0V.0008.ec.fits: ap = 115, w1 = 3432.029, w2 = 3359.615, dw = -0.04389, nw = 1651 A0V.0009.ec.fits: REFSPEC1 = 'ThAr.0023.ec 1.' A0V.0009.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.46, dw = -0.1383, nw = 1651 A0V.0009.ec.fits: ap = 2, w1 = 10611.46, w2 = 10387.49, dw = -0.13574, nw = 1651 A0V.0009.ec.fits: ap = 3, w1 = 10418.54, w2 = 10198.64, dw = -0.13327, nw = 1651 A0V.0009.ec.fits: ap = 4, w1 = 10232.51, w2 = 10016.54, dw = -0.13089, nw = 1651 A0V.0009.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.829, dw = -0.12859, nw = 1651 A0V.0009.ec.fits: ap = 6, w1 = 9879.694, w2 = 9671.176, dw = -0.12637, nw = 1651 A0V.0009.ec.fits: ap = 7, w1 = 9712.255, w2 = 9507.273, dw = -0.12423, nw = 1651 A0V.0009.ec.fits: ap = 8, w1 = 9550.397, w2 = 9348.834, dw = -0.12216, nw = 1651 A0V.0009.ec.fits: ap = 9, w1 = 9393.846, w2 = 9195.589, dw = -0.12016, nw = 1651 A0V.0009.ec.fits: ap = 10, w1 = 9242.345, w2 = 9047.287, dw = -0.11822, nw = 1651 A0V.0009.ec.fits: ap = 11, w1 = 9095.654, w2 = 8903.694, dw = -0.11634, nw = 1651 A0V.0009.ec.fits: ap = 12, w1 = 8953.546, w2 = 8764.587, dw = -0.11452, nw = 1651 A0V.0009.ec.fits: ap = 13, w1 = 8815.811, w2 = 8629.761, dw = -0.11276, nw = 1651 A0V.0009.ec.fits: ap = 14, w1 = 8682.25, w2 = 8499.021, dw = -0.11105, nw = 1651 A0V.0009.ec.fits: ap = 15, w1 = 8552.676, w2 = 8372.183, dw = -0.10939, nw = 1651 A0V.0009.ec.fits: ap = 16, w1 = 8426.912, w2 = 8249.075, dw = -0.10778, nw = 1651 A0V.0009.ec.fits: ap = 17, w1 = 8304.794, w2 = 8129.536, dw = -0.10622, nw = 1651 A0V.0009.ec.fits: ap = 18, w1 = 8186.165, w2 = 8013.412, dw = -0.1047, nw = 1651 A0V.0009.ec.fits: ap = 19, w1 = 8070.877, w2 = 7900.559, dw = -0.10322, nw = 1651 A0V.0009.ec.fits: ap = 20, w1 = 7958.792, w2 = 7790.841, dw = -0.10179, nw = 1651 A0V.0009.ec.fits: ap = 21, w1 = 7849.778, w2 = 7684.129, dw = -0.10039, nw = 1651 A0V.0009.ec.fits: ap = 22, w1 = 7743.71, w2 = 7580.301, dw = -0.09904, nw = 1651 A0V.0009.ec.fits: ap = 23, w1 = 7640.47, w2 = 7479.242, dw = -0.09771, nw = 1651 A0V.0009.ec.fits: ap = 24, w1 = 7539.947, w2 = 7380.842, dw = -0.09643, nw = 1651 A0V.0009.ec.fits: ap = 25, w1 = 7442.036, w2 = 7284.998, dw = -0.09517, nw = 1651 A0V.0009.ec.fits: ap = 26, w1 = 7346.634, w2 = 7191.612, dw = -0.09395, nw = 1651 A0V.0009.ec.fits: ap = 27, w1 = 7253.648, w2 = 7100.59, dw = -0.09276, nw = 1651 A0V.0009.ec.fits: ap = 28, w1 = 7162.987, w2 = 7011.843, dw = -0.0916, nw = 1651 A0V.0009.ec.fits: ap = 29, w1 = 7074.564, w2 = 6925.288, dw = -0.09047, nw = 1651 A0V.0009.ec.fits: ap = 30, w1 = 6988.298, w2 = 6840.844, dw = -0.08937, nw = 1651 A0V.0009.ec.fits: ap = 31, w1 = 6904.11, w2 = 6758.434, dw = -0.08829, nw = 1651 A0V.0009.ec.fits: ap = 32, w1 = 6821.927, w2 = 6677.987, dw = -0.08724, nw = 1651 A0V.0009.ec.fits: ap = 33, w1 = 6741.678, w2 = 6599.433, dw = -0.08621, nw = 1651 A0V.0009.ec.fits: ap = 34, w1 = 6663.295, w2 = 6522.706, dw = -0.08521, nw = 1651 A0V.0009.ec.fits: ap = 35, w1 = 6586.713, w2 = 6447.742, dw = -0.08423, nw = 1651 A0V.0009.ec.fits: ap = 36, w1 = 6511.873, w2 = 6374.482, dw = -0.08327, nw = 1651 A0V.0009.ec.fits: ap = 37, w1 = 6438.714, w2 = 6302.869, dw = -0.08233, nw = 1651 A0V.0009.ec.fits: ap = 38, w1 = 6367.181, w2 = 6232.847, dw = -0.08141, nw = 1651 A0V.0009.ec.fits: ap = 39, w1 = 6297.22, w2 = 6164.364, dw = -0.08052, nw = 1651 A0V.0009.ec.fits: ap = 40, w1 = 6228.78, w2 = 6097.37, dw = -0.07964, nw = 1651 A0V.0009.ec.fits: ap = 41, w1 = 6161.812, w2 = 6031.817, dw = -0.07878, nw = 1651 A0V.0009.ec.fits: ap = 42, w1 = 6096.269, w2 = 5967.659, dw = -0.07795, nw = 1651 A0V.0009.ec.fits: ap = 43, w1 = 6032.105, w2 = 5904.851, dw = -0.07712, nw = 1651 A0V.0009.ec.fits: ap = 44, w1 = 5969.279, w2 = 5843.352, dw = -0.07632, nw = 1651 A0V.0009.ec.fits: ap = 45, w1 = 5907.748, w2 = 5783.121, dw = -0.07553, nw = 1651 A0V.0009.ec.fits: ap = 46, w1 = 5847.473, w2 = 5724.119, dw = -0.07476, nw = 1651 A0V.0009.ec.fits: ap = 47, w1 = 5788.415, w2 = 5666.309, dw = -0.074, nw = 1651 A0V.0009.ec.fits: ap = 48, w1 = 5730.539, w2 = 5609.656, dw = -0.07326, nw = 1651 A0V.0009.ec.fits: ap = 49, w1 = 5673.808, w2 = 5554.124, dw = -0.07254, nw = 1651 A0V.0009.ec.fits: ap = 50, w1 = 5618.191, w2 = 5499.682, dw = -0.07182, nw = 1651 A0V.0009.ec.fits: ap = 51, w1 = 5563.653, w2 = 5446.296, dw = -0.07113, nw = 1651 A0V.0009.ec.fits: ap = 52, w1 = 5510.164, w2 = 5393.938, dw = -0.07044, nw = 1651 A0V.0009.ec.fits: ap = 53, w1 = 5457.694, w2 = 5342.577, dw = -0.06977, nw = 1651 A0V.0009.ec.fits: ap = 54, w1 = 5406.214, w2 = 5292.184, dw = -0.06911, nw = 1651 A0V.0009.ec.fits: ap = 55, w1 = 5355.697, w2 = 5242.734, dw = -0.06846, nw = 1651 A0V.0009.ec.fits: ap = 56, w1 = 5306.115, w2 = 5194.2, dw = -0.06783, nw = 1651 A0V.0009.ec.fits: ap = 57, w1 = 5257.442, w2 = 5146.557, dw = -0.0672, nw = 1651 A0V.0009.ec.fits: ap = 58, w1 = 5209.655, w2 = 5099.779, dw = -0.06659, nw = 1651 A0V.0009.ec.fits: ap = 59, w1 = 5162.729, w2 = 5053.845, dw = -0.06599, nw = 1651 A0V.0009.ec.fits: ap = 60, w1 = 5116.642, w2 = 5008.731, dw = -0.0654, nw = 1651 A0V.0009.ec.fits: ap = 61, w1 = 5071.369, w2 = 4964.416, dw = -0.06482, nw = 1651 A0V.0009.ec.fits: ap = 62, w1 = 5026.892, w2 = 4920.878, dw = -0.06425, nw = 1651 A0V.0009.ec.fits: ap = 63, w1 = 4983.188, w2 = 4878.097, dw = -0.06369, nw = 1651 A0V.0009.ec.fits: ap = 64, w1 = 4940.237, w2 = 4836.054, dw = -0.06314, nw = 1651 A0V.0009.ec.fits: ap = 65, w1 = 4898.021, w2 = 4794.73, dw = -0.0626, nw = 1651 A0V.0009.ec.fits: ap = 66, w1 = 4856.521, w2 = 4754.106, dw = -0.06207, nw = 1651 A0V.0009.ec.fits: ap = 67, w1 = 4815.718, w2 = 4714.166, dw = -0.06155, nw = 1651 A0V.0009.ec.fits: ap = 68, w1 = 4775.595, w2 = 4674.891, dw = -0.06103, nw = 1651 A0V.0009.ec.fits: ap = 69, w1 = 4736.136, w2 = 4636.265, dw = -0.06053, nw = 1651 A0V.0009.ec.fits: ap = 70, w1 = 4697.324, w2 = 4598.272, dw = -0.06003, nw = 1651 A0V.0009.ec.fits: ap = 71, w1 = 4659.142, w2 = 4560.898, dw = -0.05954, nw = 1651 A0V.0009.ec.fits: ap = 72, w1 = 4621.577, w2 = 4524.126, dw = -0.05906, nw = 1651 A0V.0009.ec.fits: ap = 73, w1 = 4584.613, w2 = 4487.943, dw = -0.05859, nw = 1651 A0V.0009.ec.fits: ap = 74, w1 = 4548.236, w2 = 4452.334, dw = -0.05812, nw = 1651 A0V.0009.ec.fits: ap = 75, w1 = 4512.432, w2 = 4417.286, dw = -0.05766, nw = 1651 A0V.0009.ec.fits: ap = 76, w1 = 4477.188, w2 = 4382.786, dw = -0.05721, nw = 1651 A0V.0009.ec.fits: ap = 77, w1 = 4442.49, w2 = 4348.821, dw = -0.05677, nw = 1651 A0V.0009.ec.fits: ap = 78, w1 = 4408.326, w2 = 4315.378, dw = -0.05633, nw = 1651 A0V.0009.ec.fits: ap = 79, w1 = 4374.684, w2 = 4282.447, dw = -0.0559, nw = 1651 A0V.0009.ec.fits: ap = 80, w1 = 4341.552, w2 = 4250.014, dw = -0.05548, nw = 1651 A0V.0009.ec.fits: ap = 81, w1 = 4308.918, w2 = 4218.069, dw = -0.05506, nw = 1651 A0V.0009.ec.fits: ap = 82, w1 = 4276.772, w2 = 4186.601, dw = -0.05465, nw = 1651 A0V.0009.ec.fits: ap = 83, w1 = 4245.102, w2 = 4155.599, dw = -0.05424, nw = 1651 A0V.0009.ec.fits: ap = 84, w1 = 4213.898, w2 = 4125.053, dw = -0.05385, nw = 1651 A0V.0009.ec.fits: ap = 85, w1 = 4183.149, w2 = 4094.953, dw = -0.05345, nw = 1651 A0V.0009.ec.fits: ap = 86, w1 = 4152.847, w2 = 4065.289, dw = -0.05306, nw = 1651 A0V.0009.ec.fits: ap = 87, w1 = 4122.98, w2 = 4036.053, dw = -0.05268, nw = 1651 A0V.0009.ec.fits: ap = 88, w1 = 4093.541, w2 = 4007.234, dw = -0.05231, nw = 1651 A0V.0009.ec.fits: ap = 89, w1 = 4064.519, w2 = 3978.824, dw = -0.05194, nw = 1651 A0V.0009.ec.fits: ap = 90, w1 = 4035.906, w2 = 3950.814, dw = -0.05157, nw = 1651 A0V.0009.ec.fits: ap = 91, w1 = 4007.694, w2 = 3923.196, dw = -0.05121, nw = 1651 A0V.0009.ec.fits: ap = 92, w1 = 3979.874, w2 = 3895.962, dw = -0.05086, nw = 1651 A0V.0009.ec.fits: ap = 93, w1 = 3952.437, w2 = 3869.104, dw = -0.05051, nw = 1651 A0V.0009.ec.fits: ap = 94, w1 = 3925.377, w2 = 3842.613, dw = -0.05016, nw = 1651 A0V.0009.ec.fits: ap = 95, w1 = 3898.685, w2 = 3816.483, dw = -0.04982, nw = 1651 A0V.0009.ec.fits: ap = 96, w1 = 3872.354, w2 = 3790.706, dw = -0.04948, nw = 1651 A0V.0009.ec.fits: ap = 97, w1 = 3846.377, w2 = 3765.276, dw = -0.04915, nw = 1651 A0V.0009.ec.fits: ap = 98, w1 = 3820.747, w2 = 3740.184, dw = -0.04883, nw = 1651 A0V.0009.ec.fits: ap = 99, w1 = 3795.456, w2 = 3715.425, dw = -0.0485, nw = 1651 A0V.0009.ec.fits: ap = 100, w1 = 3770.498, w2 = 3690.992, dw = -0.04819, nw = 1651 A0V.0009.ec.fits: ap = 101, w1 = 3745.867, w2 = 3666.878, dw = -0.04787, nw = 1651 A0V.0009.ec.fits: ap = 102, w1 = 3721.555, w2 = 3643.077, dw = -0.04756, nw = 1651 A0V.0009.ec.fits: ap = 103, w1 = 3697.558, w2 = 3619.584, dw = -0.04726, nw = 1651 A0V.0009.ec.fits: ap = 104, w1 = 3673.869, w2 = 3596.392, dw = -0.04696, nw = 1651 A0V.0009.ec.fits: ap = 105, w1 = 3650.482, w2 = 3573.495, dw = -0.04666, nw = 1651 A0V.0009.ec.fits: ap = 106, w1 = 3627.391, w2 = 3550.888, dw = -0.04636, nw = 1651 A0V.0009.ec.fits: ap = 107, w1 = 3604.59, w2 = 3528.566, dw = -0.04608, nw = 1651 A0V.0009.ec.fits: ap = 108, w1 = 3582.076, w2 = 3506.523, dw = -0.04579, nw = 1651 A0V.0009.ec.fits: ap = 109, w1 = 3559.841, w2 = 3484.754, dw = -0.04551, nw = 1651 A0V.0009.ec.fits: ap = 110, w1 = 3537.88, w2 = 3463.253, dw = -0.04523, nw = 1651 A0V.0009.ec.fits: ap = 111, w1 = 3516.19, w2 = 3442.017, dw = -0.04495, nw = 1651 A0V.0009.ec.fits: ap = 112, w1 = 3494.765, w2 = 3421.039, dw = -0.04468, nw = 1651 A0V.0009.ec.fits: ap = 113, w1 = 3473.599, w2 = 3400.316, dw = -0.04441, nw = 1651 A0V.0009.ec.fits: ap = 114, w1 = 3452.689, w2 = 3379.843, dw = -0.04415, nw = 1651 A0V.0009.ec.fits: ap = 115, w1 = 3432.029, w2 = 3359.615, dw = -0.04389, nw = 1651 A0V.0010.ec.fits: REFSPEC1 = 'ThAr.0023.ec 1.' A0V.0010.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.46, dw = -0.1383, nw = 1651 A0V.0010.ec.fits: ap = 2, w1 = 10611.46, w2 = 10387.49, dw = -0.13574, nw = 1651 A0V.0010.ec.fits: ap = 3, w1 = 10418.54, w2 = 10198.64, dw = -0.13327, nw = 1651 A0V.0010.ec.fits: ap = 4, w1 = 10232.51, w2 = 10016.54, dw = -0.13089, nw = 1651 A0V.0010.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.829, dw = -0.12859, nw = 1651 A0V.0010.ec.fits: ap = 6, w1 = 9879.694, w2 = 9671.176, dw = -0.12637, nw = 1651 A0V.0010.ec.fits: ap = 7, w1 = 9712.255, w2 = 9507.273, dw = -0.12423, nw = 1651 A0V.0010.ec.fits: ap = 8, w1 = 9550.397, w2 = 9348.834, dw = -0.12216, nw = 1651 A0V.0010.ec.fits: ap = 9, w1 = 9393.846, w2 = 9195.589, dw = -0.12016, nw = 1651 A0V.0010.ec.fits: ap = 10, w1 = 9242.345, w2 = 9047.287, dw = -0.11822, nw = 1651 A0V.0010.ec.fits: ap = 11, w1 = 9095.654, w2 = 8903.694, dw = -0.11634, nw = 1651 A0V.0010.ec.fits: ap = 12, w1 = 8953.546, w2 = 8764.587, dw = -0.11452, nw = 1651 A0V.0010.ec.fits: ap = 13, w1 = 8815.811, w2 = 8629.761, dw = -0.11276, nw = 1651 A0V.0010.ec.fits: ap = 14, w1 = 8682.25, w2 = 8499.021, dw = -0.11105, nw = 1651 A0V.0010.ec.fits: ap = 15, w1 = 8552.676, w2 = 8372.183, dw = -0.10939, nw = 1651 A0V.0010.ec.fits: ap = 16, w1 = 8426.912, w2 = 8249.075, dw = -0.10778, nw = 1651 A0V.0010.ec.fits: ap = 17, w1 = 8304.794, w2 = 8129.536, dw = -0.10622, nw = 1651 A0V.0010.ec.fits: ap = 18, w1 = 8186.165, w2 = 8013.412, dw = -0.1047, nw = 1651 A0V.0010.ec.fits: ap = 19, w1 = 8070.877, w2 = 7900.559, dw = -0.10322, nw = 1651 A0V.0010.ec.fits: ap = 20, w1 = 7958.792, w2 = 7790.841, dw = -0.10179, nw = 1651 A0V.0010.ec.fits: ap = 21, w1 = 7849.778, w2 = 7684.129, dw = -0.10039, nw = 1651 A0V.0010.ec.fits: ap = 22, w1 = 7743.71, w2 = 7580.301, dw = -0.09904, nw = 1651 A0V.0010.ec.fits: ap = 23, w1 = 7640.47, w2 = 7479.242, dw = -0.09771, nw = 1651 A0V.0010.ec.fits: ap = 24, w1 = 7539.947, w2 = 7380.842, dw = -0.09643, nw = 1651 A0V.0010.ec.fits: ap = 25, w1 = 7442.036, w2 = 7284.998, dw = -0.09517, nw = 1651 A0V.0010.ec.fits: ap = 26, w1 = 7346.634, w2 = 7191.612, dw = -0.09395, nw = 1651 A0V.0010.ec.fits: ap = 27, w1 = 7253.648, w2 = 7100.59, dw = -0.09276, nw = 1651 A0V.0010.ec.fits: ap = 28, w1 = 7162.987, w2 = 7011.843, dw = -0.0916, nw = 1651 A0V.0010.ec.fits: ap = 29, w1 = 7074.564, w2 = 6925.288, dw = -0.09047, nw = 1651 A0V.0010.ec.fits: ap = 30, w1 = 6988.298, w2 = 6840.844, dw = -0.08937, nw = 1651 A0V.0010.ec.fits: ap = 31, w1 = 6904.11, w2 = 6758.434, dw = -0.08829, nw = 1651 A0V.0010.ec.fits: ap = 32, w1 = 6821.927, w2 = 6677.987, dw = -0.08724, nw = 1651 A0V.0010.ec.fits: ap = 33, w1 = 6741.678, w2 = 6599.433, dw = -0.08621, nw = 1651 A0V.0010.ec.fits: ap = 34, w1 = 6663.295, w2 = 6522.706, dw = -0.08521, nw = 1651 A0V.0010.ec.fits: ap = 35, w1 = 6586.713, w2 = 6447.742, dw = -0.08423, nw = 1651 A0V.0010.ec.fits: ap = 36, w1 = 6511.873, w2 = 6374.482, dw = -0.08327, nw = 1651 A0V.0010.ec.fits: ap = 37, w1 = 6438.714, w2 = 6302.869, dw = -0.08233, nw = 1651 A0V.0010.ec.fits: ap = 38, w1 = 6367.181, w2 = 6232.847, dw = -0.08141, nw = 1651 A0V.0010.ec.fits: ap = 39, w1 = 6297.22, w2 = 6164.364, dw = -0.08052, nw = 1651 A0V.0010.ec.fits: ap = 40, w1 = 6228.78, w2 = 6097.37, dw = -0.07964, nw = 1651 A0V.0010.ec.fits: ap = 41, w1 = 6161.812, w2 = 6031.817, dw = -0.07878, nw = 1651 A0V.0010.ec.fits: ap = 42, w1 = 6096.269, w2 = 5967.659, dw = -0.07795, nw = 1651 A0V.0010.ec.fits: ap = 43, w1 = 6032.105, w2 = 5904.851, dw = -0.07712, nw = 1651 A0V.0010.ec.fits: ap = 44, w1 = 5969.279, w2 = 5843.352, dw = -0.07632, nw = 1651 A0V.0010.ec.fits: ap = 45, w1 = 5907.748, w2 = 5783.121, dw = -0.07553, nw = 1651 A0V.0010.ec.fits: ap = 46, w1 = 5847.473, w2 = 5724.119, dw = -0.07476, nw = 1651 A0V.0010.ec.fits: ap = 47, w1 = 5788.415, w2 = 5666.309, dw = -0.074, nw = 1651 A0V.0010.ec.fits: ap = 48, w1 = 5730.539, w2 = 5609.656, dw = -0.07326, nw = 1651 A0V.0010.ec.fits: ap = 49, w1 = 5673.808, w2 = 5554.124, dw = -0.07254, nw = 1651 A0V.0010.ec.fits: ap = 50, w1 = 5618.191, w2 = 5499.682, dw = -0.07182, nw = 1651 A0V.0010.ec.fits: ap = 51, w1 = 5563.653, w2 = 5446.296, dw = -0.07113, nw = 1651 A0V.0010.ec.fits: ap = 52, w1 = 5510.164, w2 = 5393.938, dw = -0.07044, nw = 1651 A0V.0010.ec.fits: ap = 53, w1 = 5457.694, w2 = 5342.577, dw = -0.06977, nw = 1651 A0V.0010.ec.fits: ap = 54, w1 = 5406.214, w2 = 5292.184, dw = -0.06911, nw = 1651 A0V.0010.ec.fits: ap = 55, w1 = 5355.697, w2 = 5242.734, dw = -0.06846, nw = 1651 A0V.0010.ec.fits: ap = 56, w1 = 5306.115, w2 = 5194.2, dw = -0.06783, nw = 1651 A0V.0010.ec.fits: ap = 57, w1 = 5257.442, w2 = 5146.557, dw = -0.0672, nw = 1651 A0V.0010.ec.fits: ap = 58, w1 = 5209.655, w2 = 5099.779, dw = -0.06659, nw = 1651 A0V.0010.ec.fits: ap = 59, w1 = 5162.729, w2 = 5053.845, dw = -0.06599, nw = 1651 A0V.0010.ec.fits: ap = 60, w1 = 5116.642, w2 = 5008.731, dw = -0.0654, nw = 1651 A0V.0010.ec.fits: ap = 61, w1 = 5071.369, w2 = 4964.416, dw = -0.06482, nw = 1651 A0V.0010.ec.fits: ap = 62, w1 = 5026.892, w2 = 4920.878, dw = -0.06425, nw = 1651 A0V.0010.ec.fits: ap = 63, w1 = 4983.188, w2 = 4878.097, dw = -0.06369, nw = 1651 A0V.0010.ec.fits: ap = 64, w1 = 4940.237, w2 = 4836.054, dw = -0.06314, nw = 1651 A0V.0010.ec.fits: ap = 65, w1 = 4898.021, w2 = 4794.73, dw = -0.0626, nw = 1651 A0V.0010.ec.fits: ap = 66, w1 = 4856.521, w2 = 4754.106, dw = -0.06207, nw = 1651 A0V.0010.ec.fits: ap = 67, w1 = 4815.718, w2 = 4714.166, dw = -0.06155, nw = 1651 A0V.0010.ec.fits: ap = 68, w1 = 4775.595, w2 = 4674.891, dw = -0.06103, nw = 1651 A0V.0010.ec.fits: ap = 69, w1 = 4736.136, w2 = 4636.265, dw = -0.06053, nw = 1651 A0V.0010.ec.fits: ap = 70, w1 = 4697.324, w2 = 4598.272, dw = -0.06003, nw = 1651 A0V.0010.ec.fits: ap = 71, w1 = 4659.142, w2 = 4560.898, dw = -0.05954, nw = 1651 A0V.0010.ec.fits: ap = 72, w1 = 4621.577, w2 = 4524.126, dw = -0.05906, nw = 1651 A0V.0010.ec.fits: ap = 73, w1 = 4584.613, w2 = 4487.943, dw = -0.05859, nw = 1651 A0V.0010.ec.fits: ap = 74, w1 = 4548.236, w2 = 4452.334, dw = -0.05812, nw = 1651 A0V.0010.ec.fits: ap = 75, w1 = 4512.432, w2 = 4417.286, dw = -0.05766, nw = 1651 A0V.0010.ec.fits: ap = 76, w1 = 4477.188, w2 = 4382.786, dw = -0.05721, nw = 1651 A0V.0010.ec.fits: ap = 77, w1 = 4442.49, w2 = 4348.821, dw = -0.05677, nw = 1651 A0V.0010.ec.fits: ap = 78, w1 = 4408.326, w2 = 4315.378, dw = -0.05633, nw = 1651 A0V.0010.ec.fits: ap = 79, w1 = 4374.684, w2 = 4282.447, dw = -0.0559, nw = 1651 A0V.0010.ec.fits: ap = 80, w1 = 4341.552, w2 = 4250.014, dw = -0.05548, nw = 1651 A0V.0010.ec.fits: ap = 81, w1 = 4308.918, w2 = 4218.069, dw = -0.05506, nw = 1651 A0V.0010.ec.fits: ap = 82, w1 = 4276.772, w2 = 4186.601, dw = -0.05465, nw = 1651 A0V.0010.ec.fits: ap = 83, w1 = 4245.102, w2 = 4155.599, dw = -0.05424, nw = 1651 A0V.0010.ec.fits: ap = 84, w1 = 4213.898, w2 = 4125.053, dw = -0.05385, nw = 1651 A0V.0010.ec.fits: ap = 85, w1 = 4183.149, w2 = 4094.953, dw = -0.05345, nw = 1651 A0V.0010.ec.fits: ap = 86, w1 = 4152.847, w2 = 4065.289, dw = -0.05306, nw = 1651 A0V.0010.ec.fits: ap = 87, w1 = 4122.98, w2 = 4036.053, dw = -0.05268, nw = 1651 A0V.0010.ec.fits: ap = 88, w1 = 4093.541, w2 = 4007.234, dw = -0.05231, nw = 1651 A0V.0010.ec.fits: ap = 89, w1 = 4064.519, w2 = 3978.824, dw = -0.05194, nw = 1651 A0V.0010.ec.fits: ap = 90, w1 = 4035.906, w2 = 3950.814, dw = -0.05157, nw = 1651 A0V.0010.ec.fits: ap = 91, w1 = 4007.694, w2 = 3923.196, dw = -0.05121, nw = 1651 A0V.0010.ec.fits: ap = 92, w1 = 3979.874, w2 = 3895.962, dw = -0.05086, nw = 1651 A0V.0010.ec.fits: ap = 93, w1 = 3952.437, w2 = 3869.104, dw = -0.05051, nw = 1651 A0V.0010.ec.fits: ap = 94, w1 = 3925.377, w2 = 3842.613, dw = -0.05016, nw = 1651 A0V.0010.ec.fits: ap = 95, w1 = 3898.685, w2 = 3816.483, dw = -0.04982, nw = 1651 A0V.0010.ec.fits: ap = 96, w1 = 3872.354, w2 = 3790.706, dw = -0.04948, nw = 1651 A0V.0010.ec.fits: ap = 97, w1 = 3846.377, w2 = 3765.276, dw = -0.04915, nw = 1651 A0V.0010.ec.fits: ap = 98, w1 = 3820.747, w2 = 3740.184, dw = -0.04883, nw = 1651 A0V.0010.ec.fits: ap = 99, w1 = 3795.456, w2 = 3715.425, dw = -0.0485, nw = 1651 A0V.0010.ec.fits: ap = 100, w1 = 3770.498, w2 = 3690.992, dw = -0.04819, nw = 1651 A0V.0010.ec.fits: ap = 101, w1 = 3745.867, w2 = 3666.878, dw = -0.04787, nw = 1651 A0V.0010.ec.fits: ap = 102, w1 = 3721.555, w2 = 3643.077, dw = -0.04756, nw = 1651 A0V.0010.ec.fits: ap = 103, w1 = 3697.558, w2 = 3619.584, dw = -0.04726, nw = 1651 A0V.0010.ec.fits: ap = 104, w1 = 3673.869, w2 = 3596.392, dw = -0.04696, nw = 1651 A0V.0010.ec.fits: ap = 105, w1 = 3650.482, w2 = 3573.495, dw = -0.04666, nw = 1651 A0V.0010.ec.fits: ap = 106, w1 = 3627.391, w2 = 3550.888, dw = -0.04636, nw = 1651 A0V.0010.ec.fits: ap = 107, w1 = 3604.59, w2 = 3528.566, dw = -0.04608, nw = 1651 A0V.0010.ec.fits: ap = 108, w1 = 3582.076, w2 = 3506.523, dw = -0.04579, nw = 1651 A0V.0010.ec.fits: ap = 109, w1 = 3559.841, w2 = 3484.754, dw = -0.04551, nw = 1651 A0V.0010.ec.fits: ap = 110, w1 = 3537.88, w2 = 3463.253, dw = -0.04523, nw = 1651 A0V.0010.ec.fits: ap = 111, w1 = 3516.19, w2 = 3442.017, dw = -0.04495, nw = 1651 A0V.0010.ec.fits: ap = 112, w1 = 3494.765, w2 = 3421.039, dw = -0.04468, nw = 1651 A0V.0010.ec.fits: ap = 113, w1 = 3473.599, w2 = 3400.316, dw = -0.04441, nw = 1651 A0V.0010.ec.fits: ap = 114, w1 = 3452.689, w2 = 3379.843, dw = -0.04415, nw = 1651 A0V.0010.ec.fits: ap = 115, w1 = 3432.029, w2 = 3359.615, dw = -0.04389, nw = 1651 A0V.0011.ec.fits: REFSPEC1 = 'ThAr.0023.ec 1.' A0V.0011.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.46, dw = -0.1383, nw = 1651 A0V.0011.ec.fits: ap = 2, w1 = 10611.46, w2 = 10387.49, dw = -0.13574, nw = 1651 A0V.0011.ec.fits: ap = 3, w1 = 10418.54, w2 = 10198.64, dw = -0.13327, nw = 1651 A0V.0011.ec.fits: ap = 4, w1 = 10232.51, w2 = 10016.54, dw = -0.13089, nw = 1651 A0V.0011.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.829, dw = -0.12859, nw = 1651 A0V.0011.ec.fits: ap = 6, w1 = 9879.694, w2 = 9671.176, dw = -0.12637, nw = 1651 A0V.0011.ec.fits: ap = 7, w1 = 9712.255, w2 = 9507.273, dw = -0.12423, nw = 1651 A0V.0011.ec.fits: ap = 8, w1 = 9550.397, w2 = 9348.834, dw = -0.12216, nw = 1651 A0V.0011.ec.fits: ap = 9, w1 = 9393.846, w2 = 9195.589, dw = -0.12016, nw = 1651 A0V.0011.ec.fits: ap = 10, w1 = 9242.345, w2 = 9047.287, dw = -0.11822, nw = 1651 A0V.0011.ec.fits: ap = 11, w1 = 9095.654, w2 = 8903.694, dw = -0.11634, nw = 1651 A0V.0011.ec.fits: ap = 12, w1 = 8953.546, w2 = 8764.587, dw = -0.11452, nw = 1651 A0V.0011.ec.fits: ap = 13, w1 = 8815.811, w2 = 8629.761, dw = -0.11276, nw = 1651 A0V.0011.ec.fits: ap = 14, w1 = 8682.25, w2 = 8499.021, dw = -0.11105, nw = 1651 A0V.0011.ec.fits: ap = 15, w1 = 8552.676, w2 = 8372.183, dw = -0.10939, nw = 1651 A0V.0011.ec.fits: ap = 16, w1 = 8426.912, w2 = 8249.075, dw = -0.10778, nw = 1651 A0V.0011.ec.fits: ap = 17, w1 = 8304.794, w2 = 8129.536, dw = -0.10622, nw = 1651 A0V.0011.ec.fits: ap = 18, w1 = 8186.165, w2 = 8013.412, dw = -0.1047, nw = 1651 A0V.0011.ec.fits: ap = 19, w1 = 8070.877, w2 = 7900.559, dw = -0.10322, nw = 1651 A0V.0011.ec.fits: ap = 20, w1 = 7958.792, w2 = 7790.841, dw = -0.10179, nw = 1651 A0V.0011.ec.fits: ap = 21, w1 = 7849.778, w2 = 7684.129, dw = -0.10039, nw = 1651 A0V.0011.ec.fits: ap = 22, w1 = 7743.71, w2 = 7580.301, dw = -0.09904, nw = 1651 A0V.0011.ec.fits: ap = 23, w1 = 7640.47, w2 = 7479.242, dw = -0.09771, nw = 1651 A0V.0011.ec.fits: ap = 24, w1 = 7539.947, w2 = 7380.842, dw = -0.09643, nw = 1651 A0V.0011.ec.fits: ap = 25, w1 = 7442.036, w2 = 7284.998, dw = -0.09517, nw = 1651 A0V.0011.ec.fits: ap = 26, w1 = 7346.634, w2 = 7191.612, dw = -0.09395, nw = 1651 A0V.0011.ec.fits: ap = 27, w1 = 7253.648, w2 = 7100.59, dw = -0.09276, nw = 1651 A0V.0011.ec.fits: ap = 28, w1 = 7162.987, w2 = 7011.843, dw = -0.0916, nw = 1651 A0V.0011.ec.fits: ap = 29, w1 = 7074.564, w2 = 6925.288, dw = -0.09047, nw = 1651 A0V.0011.ec.fits: ap = 30, w1 = 6988.298, w2 = 6840.844, dw = -0.08937, nw = 1651 A0V.0011.ec.fits: ap = 31, w1 = 6904.11, w2 = 6758.434, dw = -0.08829, nw = 1651 A0V.0011.ec.fits: ap = 32, w1 = 6821.927, w2 = 6677.987, dw = -0.08724, nw = 1651 A0V.0011.ec.fits: ap = 33, w1 = 6741.678, w2 = 6599.433, dw = -0.08621, nw = 1651 A0V.0011.ec.fits: ap = 34, w1 = 6663.295, w2 = 6522.706, dw = -0.08521, nw = 1651 A0V.0011.ec.fits: ap = 35, w1 = 6586.713, w2 = 6447.742, dw = -0.08423, nw = 1651 A0V.0011.ec.fits: ap = 36, w1 = 6511.873, w2 = 6374.482, dw = -0.08327, nw = 1651 A0V.0011.ec.fits: ap = 37, w1 = 6438.714, w2 = 6302.869, dw = -0.08233, nw = 1651 A0V.0011.ec.fits: ap = 38, w1 = 6367.181, w2 = 6232.847, dw = -0.08141, nw = 1651 A0V.0011.ec.fits: ap = 39, w1 = 6297.22, w2 = 6164.364, dw = -0.08052, nw = 1651 A0V.0011.ec.fits: ap = 40, w1 = 6228.78, w2 = 6097.37, dw = -0.07964, nw = 1651 A0V.0011.ec.fits: ap = 41, w1 = 6161.812, w2 = 6031.817, dw = -0.07878, nw = 1651 A0V.0011.ec.fits: ap = 42, w1 = 6096.269, w2 = 5967.659, dw = -0.07795, nw = 1651 A0V.0011.ec.fits: ap = 43, w1 = 6032.105, w2 = 5904.851, dw = -0.07712, nw = 1651 A0V.0011.ec.fits: ap = 44, w1 = 5969.279, w2 = 5843.352, dw = -0.07632, nw = 1651 A0V.0011.ec.fits: ap = 45, w1 = 5907.748, w2 = 5783.121, dw = -0.07553, nw = 1651 A0V.0011.ec.fits: ap = 46, w1 = 5847.473, w2 = 5724.119, dw = -0.07476, nw = 1651 A0V.0011.ec.fits: ap = 47, w1 = 5788.415, w2 = 5666.309, dw = -0.074, nw = 1651 A0V.0011.ec.fits: ap = 48, w1 = 5730.539, w2 = 5609.656, dw = -0.07326, nw = 1651 A0V.0011.ec.fits: ap = 49, w1 = 5673.808, w2 = 5554.124, dw = -0.07254, nw = 1651 A0V.0011.ec.fits: ap = 50, w1 = 5618.191, w2 = 5499.682, dw = -0.07182, nw = 1651 A0V.0011.ec.fits: ap = 51, w1 = 5563.653, w2 = 5446.296, dw = -0.07113, nw = 1651 A0V.0011.ec.fits: ap = 52, w1 = 5510.164, w2 = 5393.938, dw = -0.07044, nw = 1651 A0V.0011.ec.fits: ap = 53, w1 = 5457.694, w2 = 5342.577, dw = -0.06977, nw = 1651 A0V.0011.ec.fits: ap = 54, w1 = 5406.214, w2 = 5292.184, dw = -0.06911, nw = 1651 A0V.0011.ec.fits: ap = 55, w1 = 5355.697, w2 = 5242.734, dw = -0.06846, nw = 1651 A0V.0011.ec.fits: ap = 56, w1 = 5306.115, w2 = 5194.2, dw = -0.06783, nw = 1651 A0V.0011.ec.fits: ap = 57, w1 = 5257.442, w2 = 5146.557, dw = -0.0672, nw = 1651 A0V.0011.ec.fits: ap = 58, w1 = 5209.655, w2 = 5099.779, dw = -0.06659, nw = 1651 A0V.0011.ec.fits: ap = 59, w1 = 5162.729, w2 = 5053.845, dw = -0.06599, nw = 1651 A0V.0011.ec.fits: ap = 60, w1 = 5116.642, w2 = 5008.731, dw = -0.0654, nw = 1651 A0V.0011.ec.fits: ap = 61, w1 = 5071.369, w2 = 4964.416, dw = -0.06482, nw = 1651 A0V.0011.ec.fits: ap = 62, w1 = 5026.892, w2 = 4920.878, dw = -0.06425, nw = 1651 A0V.0011.ec.fits: ap = 63, w1 = 4983.188, w2 = 4878.097, dw = -0.06369, nw = 1651 A0V.0011.ec.fits: ap = 64, w1 = 4940.237, w2 = 4836.054, dw = -0.06314, nw = 1651 A0V.0011.ec.fits: ap = 65, w1 = 4898.021, w2 = 4794.73, dw = -0.0626, nw = 1651 A0V.0011.ec.fits: ap = 66, w1 = 4856.521, w2 = 4754.106, dw = -0.06207, nw = 1651 A0V.0011.ec.fits: ap = 67, w1 = 4815.718, w2 = 4714.166, dw = -0.06155, nw = 1651 A0V.0011.ec.fits: ap = 68, w1 = 4775.595, w2 = 4674.891, dw = -0.06103, nw = 1651 A0V.0011.ec.fits: ap = 69, w1 = 4736.136, w2 = 4636.265, dw = -0.06053, nw = 1651 A0V.0011.ec.fits: ap = 70, w1 = 4697.324, w2 = 4598.272, dw = -0.06003, nw = 1651 A0V.0011.ec.fits: ap = 71, w1 = 4659.142, w2 = 4560.898, dw = -0.05954, nw = 1651 A0V.0011.ec.fits: ap = 72, w1 = 4621.577, w2 = 4524.126, dw = -0.05906, nw = 1651 A0V.0011.ec.fits: ap = 73, w1 = 4584.613, w2 = 4487.943, dw = -0.05859, nw = 1651 A0V.0011.ec.fits: ap = 74, w1 = 4548.236, w2 = 4452.334, dw = -0.05812, nw = 1651 A0V.0011.ec.fits: ap = 75, w1 = 4512.432, w2 = 4417.286, dw = -0.05766, nw = 1651 A0V.0011.ec.fits: ap = 76, w1 = 4477.188, w2 = 4382.786, dw = -0.05721, nw = 1651 A0V.0011.ec.fits: ap = 77, w1 = 4442.49, w2 = 4348.821, dw = -0.05677, nw = 1651 A0V.0011.ec.fits: ap = 78, w1 = 4408.326, w2 = 4315.378, dw = -0.05633, nw = 1651 A0V.0011.ec.fits: ap = 79, w1 = 4374.684, w2 = 4282.447, dw = -0.0559, nw = 1651 A0V.0011.ec.fits: ap = 80, w1 = 4341.552, w2 = 4250.014, dw = -0.05548, nw = 1651 A0V.0011.ec.fits: ap = 81, w1 = 4308.918, w2 = 4218.069, dw = -0.05506, nw = 1651 A0V.0011.ec.fits: ap = 82, w1 = 4276.772, w2 = 4186.601, dw = -0.05465, nw = 1651 A0V.0011.ec.fits: ap = 83, w1 = 4245.102, w2 = 4155.599, dw = -0.05424, nw = 1651 A0V.0011.ec.fits: ap = 84, w1 = 4213.898, w2 = 4125.053, dw = -0.05385, nw = 1651 A0V.0011.ec.fits: ap = 85, w1 = 4183.149, w2 = 4094.953, dw = -0.05345, nw = 1651 A0V.0011.ec.fits: ap = 86, w1 = 4152.847, w2 = 4065.289, dw = -0.05306, nw = 1651 A0V.0011.ec.fits: ap = 87, w1 = 4122.98, w2 = 4036.053, dw = -0.05268, nw = 1651 A0V.0011.ec.fits: ap = 88, w1 = 4093.541, w2 = 4007.234, dw = -0.05231, nw = 1651 A0V.0011.ec.fits: ap = 89, w1 = 4064.519, w2 = 3978.824, dw = -0.05194, nw = 1651 A0V.0011.ec.fits: ap = 90, w1 = 4035.906, w2 = 3950.814, dw = -0.05157, nw = 1651 A0V.0011.ec.fits: ap = 91, w1 = 4007.694, w2 = 3923.196, dw = -0.05121, nw = 1651 A0V.0011.ec.fits: ap = 92, w1 = 3979.874, w2 = 3895.962, dw = -0.05086, nw = 1651 A0V.0011.ec.fits: ap = 93, w1 = 3952.437, w2 = 3869.104, dw = -0.05051, nw = 1651 A0V.0011.ec.fits: ap = 94, w1 = 3925.377, w2 = 3842.613, dw = -0.05016, nw = 1651 A0V.0011.ec.fits: ap = 95, w1 = 3898.685, w2 = 3816.483, dw = -0.04982, nw = 1651 A0V.0011.ec.fits: ap = 96, w1 = 3872.354, w2 = 3790.706, dw = -0.04948, nw = 1651 A0V.0011.ec.fits: ap = 97, w1 = 3846.377, w2 = 3765.276, dw = -0.04915, nw = 1651 A0V.0011.ec.fits: ap = 98, w1 = 3820.747, w2 = 3740.184, dw = -0.04883, nw = 1651 A0V.0011.ec.fits: ap = 99, w1 = 3795.456, w2 = 3715.425, dw = -0.0485, nw = 1651 A0V.0011.ec.fits: ap = 100, w1 = 3770.498, w2 = 3690.992, dw = -0.04819, nw = 1651 A0V.0011.ec.fits: ap = 101, w1 = 3745.867, w2 = 3666.878, dw = -0.04787, nw = 1651 A0V.0011.ec.fits: ap = 102, w1 = 3721.555, w2 = 3643.077, dw = -0.04756, nw = 1651 A0V.0011.ec.fits: ap = 103, w1 = 3697.558, w2 = 3619.584, dw = -0.04726, nw = 1651 A0V.0011.ec.fits: ap = 104, w1 = 3673.869, w2 = 3596.392, dw = -0.04696, nw = 1651 A0V.0011.ec.fits: ap = 105, w1 = 3650.482, w2 = 3573.495, dw = -0.04666, nw = 1651 A0V.0011.ec.fits: ap = 106, w1 = 3627.391, w2 = 3550.888, dw = -0.04636, nw = 1651 A0V.0011.ec.fits: ap = 107, w1 = 3604.59, w2 = 3528.566, dw = -0.04608, nw = 1651 A0V.0011.ec.fits: ap = 108, w1 = 3582.076, w2 = 3506.523, dw = -0.04579, nw = 1651 A0V.0011.ec.fits: ap = 109, w1 = 3559.841, w2 = 3484.754, dw = -0.04551, nw = 1651 A0V.0011.ec.fits: ap = 110, w1 = 3537.88, w2 = 3463.253, dw = -0.04523, nw = 1651 A0V.0011.ec.fits: ap = 111, w1 = 3516.19, w2 = 3442.017, dw = -0.04495, nw = 1651 A0V.0011.ec.fits: ap = 112, w1 = 3494.765, w2 = 3421.039, dw = -0.04468, nw = 1651 A0V.0011.ec.fits: ap = 113, w1 = 3473.599, w2 = 3400.316, dw = -0.04441, nw = 1651 A0V.0011.ec.fits: ap = 114, w1 = 3452.689, w2 = 3379.843, dw = -0.04415, nw = 1651 A0V.0011.ec.fits: ap = 115, w1 = 3432.029, w2 = 3359.615, dw = -0.04389, nw = 1651 A0V.0012.ec.fits: REFSPEC1 = 'ThAr.0023.ec 1.' A0V.0012.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.46, dw = -0.1383, nw = 1651 A0V.0012.ec.fits: ap = 2, w1 = 10611.46, w2 = 10387.49, dw = -0.13574, nw = 1651 A0V.0012.ec.fits: ap = 3, w1 = 10418.54, w2 = 10198.64, dw = -0.13327, nw = 1651 A0V.0012.ec.fits: ap = 4, w1 = 10232.51, w2 = 10016.54, dw = -0.13089, nw = 1651 A0V.0012.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.829, dw = -0.12859, nw = 1651 A0V.0012.ec.fits: ap = 6, w1 = 9879.694, w2 = 9671.176, dw = -0.12637, nw = 1651 A0V.0012.ec.fits: ap = 7, w1 = 9712.255, w2 = 9507.273, dw = -0.12423, nw = 1651 A0V.0012.ec.fits: ap = 8, w1 = 9550.397, w2 = 9348.834, dw = -0.12216, nw = 1651 A0V.0012.ec.fits: ap = 9, w1 = 9393.846, w2 = 9195.589, dw = -0.12016, nw = 1651 A0V.0012.ec.fits: ap = 10, w1 = 9242.345, w2 = 9047.287, dw = -0.11822, nw = 1651 A0V.0012.ec.fits: ap = 11, w1 = 9095.654, w2 = 8903.694, dw = -0.11634, nw = 1651 A0V.0012.ec.fits: ap = 12, w1 = 8953.546, w2 = 8764.587, dw = -0.11452, nw = 1651 A0V.0012.ec.fits: ap = 13, w1 = 8815.811, w2 = 8629.761, dw = -0.11276, nw = 1651 A0V.0012.ec.fits: ap = 14, w1 = 8682.25, w2 = 8499.021, dw = -0.11105, nw = 1651 A0V.0012.ec.fits: ap = 15, w1 = 8552.676, w2 = 8372.183, dw = -0.10939, nw = 1651 A0V.0012.ec.fits: ap = 16, w1 = 8426.912, w2 = 8249.075, dw = -0.10778, nw = 1651 A0V.0012.ec.fits: ap = 17, w1 = 8304.794, w2 = 8129.536, dw = -0.10622, nw = 1651 A0V.0012.ec.fits: ap = 18, w1 = 8186.165, w2 = 8013.412, dw = -0.1047, nw = 1651 A0V.0012.ec.fits: ap = 19, w1 = 8070.877, w2 = 7900.559, dw = -0.10322, nw = 1651 A0V.0012.ec.fits: ap = 20, w1 = 7958.792, w2 = 7790.841, dw = -0.10179, nw = 1651 A0V.0012.ec.fits: ap = 21, w1 = 7849.778, w2 = 7684.129, dw = -0.10039, nw = 1651 A0V.0012.ec.fits: ap = 22, w1 = 7743.71, w2 = 7580.301, dw = -0.09904, nw = 1651 A0V.0012.ec.fits: ap = 23, w1 = 7640.47, w2 = 7479.242, dw = -0.09771, nw = 1651 A0V.0012.ec.fits: ap = 24, w1 = 7539.947, w2 = 7380.842, dw = -0.09643, nw = 1651 A0V.0012.ec.fits: ap = 25, w1 = 7442.036, w2 = 7284.998, dw = -0.09517, nw = 1651 A0V.0012.ec.fits: ap = 26, w1 = 7346.634, w2 = 7191.612, dw = -0.09395, nw = 1651 A0V.0012.ec.fits: ap = 27, w1 = 7253.648, w2 = 7100.59, dw = -0.09276, nw = 1651 A0V.0012.ec.fits: ap = 28, w1 = 7162.987, w2 = 7011.843, dw = -0.0916, nw = 1651 A0V.0012.ec.fits: ap = 29, w1 = 7074.564, w2 = 6925.288, dw = -0.09047, nw = 1651 A0V.0012.ec.fits: ap = 30, w1 = 6988.298, w2 = 6840.844, dw = -0.08937, nw = 1651 A0V.0012.ec.fits: ap = 31, w1 = 6904.11, w2 = 6758.434, dw = -0.08829, nw = 1651 A0V.0012.ec.fits: ap = 32, w1 = 6821.927, w2 = 6677.987, dw = -0.08724, nw = 1651 A0V.0012.ec.fits: ap = 33, w1 = 6741.678, w2 = 6599.433, dw = -0.08621, nw = 1651 A0V.0012.ec.fits: ap = 34, w1 = 6663.295, w2 = 6522.706, dw = -0.08521, nw = 1651 A0V.0012.ec.fits: ap = 35, w1 = 6586.713, w2 = 6447.742, dw = -0.08423, nw = 1651 A0V.0012.ec.fits: ap = 36, w1 = 6511.873, w2 = 6374.482, dw = -0.08327, nw = 1651 A0V.0012.ec.fits: ap = 37, w1 = 6438.714, w2 = 6302.869, dw = -0.08233, nw = 1651 A0V.0012.ec.fits: ap = 38, w1 = 6367.181, w2 = 6232.847, dw = -0.08141, nw = 1651 A0V.0012.ec.fits: ap = 39, w1 = 6297.22, w2 = 6164.364, dw = -0.08052, nw = 1651 A0V.0012.ec.fits: ap = 40, w1 = 6228.78, w2 = 6097.37, dw = -0.07964, nw = 1651 A0V.0012.ec.fits: ap = 41, w1 = 6161.812, w2 = 6031.817, dw = -0.07878, nw = 1651 A0V.0012.ec.fits: ap = 42, w1 = 6096.269, w2 = 5967.659, dw = -0.07795, nw = 1651 A0V.0012.ec.fits: ap = 43, w1 = 6032.105, w2 = 5904.851, dw = -0.07712, nw = 1651 A0V.0012.ec.fits: ap = 44, w1 = 5969.279, w2 = 5843.352, dw = -0.07632, nw = 1651 A0V.0012.ec.fits: ap = 45, w1 = 5907.748, w2 = 5783.121, dw = -0.07553, nw = 1651 A0V.0012.ec.fits: ap = 46, w1 = 5847.473, w2 = 5724.119, dw = -0.07476, nw = 1651 A0V.0012.ec.fits: ap = 47, w1 = 5788.415, w2 = 5666.309, dw = -0.074, nw = 1651 A0V.0012.ec.fits: ap = 48, w1 = 5730.539, w2 = 5609.656, dw = -0.07326, nw = 1651 A0V.0012.ec.fits: ap = 49, w1 = 5673.808, w2 = 5554.124, dw = -0.07254, nw = 1651 A0V.0012.ec.fits: ap = 50, w1 = 5618.191, w2 = 5499.682, dw = -0.07182, nw = 1651 A0V.0012.ec.fits: ap = 51, w1 = 5563.653, w2 = 5446.296, dw = -0.07113, nw = 1651 A0V.0012.ec.fits: ap = 52, w1 = 5510.164, w2 = 5393.938, dw = -0.07044, nw = 1651 A0V.0012.ec.fits: ap = 53, w1 = 5457.694, w2 = 5342.577, dw = -0.06977, nw = 1651 A0V.0012.ec.fits: ap = 54, w1 = 5406.214, w2 = 5292.184, dw = -0.06911, nw = 1651 A0V.0012.ec.fits: ap = 55, w1 = 5355.697, w2 = 5242.734, dw = -0.06846, nw = 1651 A0V.0012.ec.fits: ap = 56, w1 = 5306.115, w2 = 5194.2, dw = -0.06783, nw = 1651 A0V.0012.ec.fits: ap = 57, w1 = 5257.442, w2 = 5146.557, dw = -0.0672, nw = 1651 A0V.0012.ec.fits: ap = 58, w1 = 5209.655, w2 = 5099.779, dw = -0.06659, nw = 1651 A0V.0012.ec.fits: ap = 59, w1 = 5162.729, w2 = 5053.845, dw = -0.06599, nw = 1651 A0V.0012.ec.fits: ap = 60, w1 = 5116.642, w2 = 5008.731, dw = -0.0654, nw = 1651 A0V.0012.ec.fits: ap = 61, w1 = 5071.369, w2 = 4964.416, dw = -0.06482, nw = 1651 A0V.0012.ec.fits: ap = 62, w1 = 5026.892, w2 = 4920.878, dw = -0.06425, nw = 1651 A0V.0012.ec.fits: ap = 63, w1 = 4983.188, w2 = 4878.097, dw = -0.06369, nw = 1651 A0V.0012.ec.fits: ap = 64, w1 = 4940.237, w2 = 4836.054, dw = -0.06314, nw = 1651 A0V.0012.ec.fits: ap = 65, w1 = 4898.021, w2 = 4794.73, dw = -0.0626, nw = 1651 A0V.0012.ec.fits: ap = 66, w1 = 4856.521, w2 = 4754.106, dw = -0.06207, nw = 1651 A0V.0012.ec.fits: ap = 67, w1 = 4815.718, w2 = 4714.166, dw = -0.06155, nw = 1651 A0V.0012.ec.fits: ap = 68, w1 = 4775.595, w2 = 4674.891, dw = -0.06103, nw = 1651 A0V.0012.ec.fits: ap = 69, w1 = 4736.136, w2 = 4636.265, dw = -0.06053, nw = 1651 A0V.0012.ec.fits: ap = 70, w1 = 4697.324, w2 = 4598.272, dw = -0.06003, nw = 1651 A0V.0012.ec.fits: ap = 71, w1 = 4659.142, w2 = 4560.898, dw = -0.05954, nw = 1651 A0V.0012.ec.fits: ap = 72, w1 = 4621.577, w2 = 4524.126, dw = -0.05906, nw = 1651 A0V.0012.ec.fits: ap = 73, w1 = 4584.613, w2 = 4487.943, dw = -0.05859, nw = 1651 A0V.0012.ec.fits: ap = 74, w1 = 4548.236, w2 = 4452.334, dw = -0.05812, nw = 1651 A0V.0012.ec.fits: ap = 75, w1 = 4512.432, w2 = 4417.286, dw = -0.05766, nw = 1651 A0V.0012.ec.fits: ap = 76, w1 = 4477.188, w2 = 4382.786, dw = -0.05721, nw = 1651 A0V.0012.ec.fits: ap = 77, w1 = 4442.49, w2 = 4348.821, dw = -0.05677, nw = 1651 A0V.0012.ec.fits: ap = 78, w1 = 4408.326, w2 = 4315.378, dw = -0.05633, nw = 1651 A0V.0012.ec.fits: ap = 79, w1 = 4374.684, w2 = 4282.447, dw = -0.0559, nw = 1651 A0V.0012.ec.fits: ap = 80, w1 = 4341.552, w2 = 4250.014, dw = -0.05548, nw = 1651 A0V.0012.ec.fits: ap = 81, w1 = 4308.918, w2 = 4218.069, dw = -0.05506, nw = 1651 A0V.0012.ec.fits: ap = 82, w1 = 4276.772, w2 = 4186.601, dw = -0.05465, nw = 1651 A0V.0012.ec.fits: ap = 83, w1 = 4245.102, w2 = 4155.599, dw = -0.05424, nw = 1651 A0V.0012.ec.fits: ap = 84, w1 = 4213.898, w2 = 4125.053, dw = -0.05385, nw = 1651 A0V.0012.ec.fits: ap = 85, w1 = 4183.149, w2 = 4094.953, dw = -0.05345, nw = 1651 A0V.0012.ec.fits: ap = 86, w1 = 4152.847, w2 = 4065.289, dw = -0.05306, nw = 1651 A0V.0012.ec.fits: ap = 87, w1 = 4122.98, w2 = 4036.053, dw = -0.05268, nw = 1651 A0V.0012.ec.fits: ap = 88, w1 = 4093.541, w2 = 4007.234, dw = -0.05231, nw = 1651 A0V.0012.ec.fits: ap = 89, w1 = 4064.519, w2 = 3978.824, dw = -0.05194, nw = 1651 A0V.0012.ec.fits: ap = 90, w1 = 4035.906, w2 = 3950.814, dw = -0.05157, nw = 1651 A0V.0012.ec.fits: ap = 91, w1 = 4007.694, w2 = 3923.196, dw = -0.05121, nw = 1651 A0V.0012.ec.fits: ap = 92, w1 = 3979.874, w2 = 3895.962, dw = -0.05086, nw = 1651 A0V.0012.ec.fits: ap = 93, w1 = 3952.437, w2 = 3869.104, dw = -0.05051, nw = 1651 A0V.0012.ec.fits: ap = 94, w1 = 3925.377, w2 = 3842.613, dw = -0.05016, nw = 1651 A0V.0012.ec.fits: ap = 95, w1 = 3898.685, w2 = 3816.483, dw = -0.04982, nw = 1651 A0V.0012.ec.fits: ap = 96, w1 = 3872.354, w2 = 3790.706, dw = -0.04948, nw = 1651 A0V.0012.ec.fits: ap = 97, w1 = 3846.377, w2 = 3765.276, dw = -0.04915, nw = 1651 A0V.0012.ec.fits: ap = 98, w1 = 3820.747, w2 = 3740.184, dw = -0.04883, nw = 1651 A0V.0012.ec.fits: ap = 99, w1 = 3795.456, w2 = 3715.425, dw = -0.0485, nw = 1651 A0V.0012.ec.fits: ap = 100, w1 = 3770.498, w2 = 3690.992, dw = -0.04819, nw = 1651 A0V.0012.ec.fits: ap = 101, w1 = 3745.867, w2 = 3666.878, dw = -0.04787, nw = 1651 A0V.0012.ec.fits: ap = 102, w1 = 3721.555, w2 = 3643.077, dw = -0.04756, nw = 1651 A0V.0012.ec.fits: ap = 103, w1 = 3697.558, w2 = 3619.584, dw = -0.04726, nw = 1651 A0V.0012.ec.fits: ap = 104, w1 = 3673.869, w2 = 3596.392, dw = -0.04696, nw = 1651 A0V.0012.ec.fits: ap = 105, w1 = 3650.482, w2 = 3573.495, dw = -0.04666, nw = 1651 A0V.0012.ec.fits: ap = 106, w1 = 3627.391, w2 = 3550.888, dw = -0.04636, nw = 1651 A0V.0012.ec.fits: ap = 107, w1 = 3604.59, w2 = 3528.566, dw = -0.04608, nw = 1651 A0V.0012.ec.fits: ap = 108, w1 = 3582.076, w2 = 3506.523, dw = -0.04579, nw = 1651 A0V.0012.ec.fits: ap = 109, w1 = 3559.841, w2 = 3484.754, dw = -0.04551, nw = 1651 A0V.0012.ec.fits: ap = 110, w1 = 3537.88, w2 = 3463.253, dw = -0.04523, nw = 1651 A0V.0012.ec.fits: ap = 111, w1 = 3516.19, w2 = 3442.017, dw = -0.04495, nw = 1651 A0V.0012.ec.fits: ap = 112, w1 = 3494.765, w2 = 3421.039, dw = -0.04468, nw = 1651 A0V.0012.ec.fits: ap = 113, w1 = 3473.599, w2 = 3400.316, dw = -0.04441, nw = 1651 A0V.0012.ec.fits: ap = 114, w1 = 3452.689, w2 = 3379.843, dw = -0.04415, nw = 1651 A0V.0012.ec.fits: ap = 115, w1 = 3432.029, w2 = 3359.615, dw = -0.04389, nw = 1651 A0V.0013.ec.fits: REFSPEC1 = 'ThAr.0023.ec 1.' A0V.0013.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.46, dw = -0.1383, nw = 1651 A0V.0013.ec.fits: ap = 2, w1 = 10611.46, w2 = 10387.49, dw = -0.13574, nw = 1651 A0V.0013.ec.fits: ap = 3, w1 = 10418.54, w2 = 10198.64, dw = -0.13327, nw = 1651 A0V.0013.ec.fits: ap = 4, w1 = 10232.51, w2 = 10016.54, dw = -0.13089, nw = 1651 A0V.0013.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.829, dw = -0.12859, nw = 1651 A0V.0013.ec.fits: ap = 6, w1 = 9879.694, w2 = 9671.176, dw = -0.12637, nw = 1651 A0V.0013.ec.fits: ap = 7, w1 = 9712.255, w2 = 9507.273, dw = -0.12423, nw = 1651 A0V.0013.ec.fits: ap = 8, w1 = 9550.397, w2 = 9348.834, dw = -0.12216, nw = 1651 A0V.0013.ec.fits: ap = 9, w1 = 9393.846, w2 = 9195.589, dw = -0.12016, nw = 1651 A0V.0013.ec.fits: ap = 10, w1 = 9242.345, w2 = 9047.287, dw = -0.11822, nw = 1651 A0V.0013.ec.fits: ap = 11, w1 = 9095.654, w2 = 8903.694, dw = -0.11634, nw = 1651 A0V.0013.ec.fits: ap = 12, w1 = 8953.546, w2 = 8764.587, dw = -0.11452, nw = 1651 A0V.0013.ec.fits: ap = 13, w1 = 8815.811, w2 = 8629.761, dw = -0.11276, nw = 1651 A0V.0013.ec.fits: ap = 14, w1 = 8682.25, w2 = 8499.021, dw = -0.11105, nw = 1651 A0V.0013.ec.fits: ap = 15, w1 = 8552.676, w2 = 8372.183, dw = -0.10939, nw = 1651 A0V.0013.ec.fits: ap = 16, w1 = 8426.912, w2 = 8249.075, dw = -0.10778, nw = 1651 A0V.0013.ec.fits: ap = 17, w1 = 8304.794, w2 = 8129.536, dw = -0.10622, nw = 1651 A0V.0013.ec.fits: ap = 18, w1 = 8186.165, w2 = 8013.412, dw = -0.1047, nw = 1651 A0V.0013.ec.fits: ap = 19, w1 = 8070.877, w2 = 7900.559, dw = -0.10322, nw = 1651 A0V.0013.ec.fits: ap = 20, w1 = 7958.792, w2 = 7790.841, dw = -0.10179, nw = 1651 A0V.0013.ec.fits: ap = 21, w1 = 7849.778, w2 = 7684.129, dw = -0.10039, nw = 1651 A0V.0013.ec.fits: ap = 22, w1 = 7743.71, w2 = 7580.301, dw = -0.09904, nw = 1651 A0V.0013.ec.fits: ap = 23, w1 = 7640.47, w2 = 7479.242, dw = -0.09771, nw = 1651 A0V.0013.ec.fits: ap = 24, w1 = 7539.947, w2 = 7380.842, dw = -0.09643, nw = 1651 A0V.0013.ec.fits: ap = 25, w1 = 7442.036, w2 = 7284.998, dw = -0.09517, nw = 1651 A0V.0013.ec.fits: ap = 26, w1 = 7346.634, w2 = 7191.612, dw = -0.09395, nw = 1651 A0V.0013.ec.fits: ap = 27, w1 = 7253.648, w2 = 7100.59, dw = -0.09276, nw = 1651 A0V.0013.ec.fits: ap = 28, w1 = 7162.987, w2 = 7011.843, dw = -0.0916, nw = 1651 A0V.0013.ec.fits: ap = 29, w1 = 7074.564, w2 = 6925.288, dw = -0.09047, nw = 1651 A0V.0013.ec.fits: ap = 30, w1 = 6988.298, w2 = 6840.844, dw = -0.08937, nw = 1651 A0V.0013.ec.fits: ap = 31, w1 = 6904.11, w2 = 6758.434, dw = -0.08829, nw = 1651 A0V.0013.ec.fits: ap = 32, w1 = 6821.927, w2 = 6677.987, dw = -0.08724, nw = 1651 A0V.0013.ec.fits: ap = 33, w1 = 6741.678, w2 = 6599.433, dw = -0.08621, nw = 1651 A0V.0013.ec.fits: ap = 34, w1 = 6663.295, w2 = 6522.706, dw = -0.08521, nw = 1651 A0V.0013.ec.fits: ap = 35, w1 = 6586.713, w2 = 6447.742, dw = -0.08423, nw = 1651 A0V.0013.ec.fits: ap = 36, w1 = 6511.873, w2 = 6374.482, dw = -0.08327, nw = 1651 A0V.0013.ec.fits: ap = 37, w1 = 6438.714, w2 = 6302.869, dw = -0.08233, nw = 1651 A0V.0013.ec.fits: ap = 38, w1 = 6367.181, w2 = 6232.847, dw = -0.08141, nw = 1651 A0V.0013.ec.fits: ap = 39, w1 = 6297.22, w2 = 6164.364, dw = -0.08052, nw = 1651 A0V.0013.ec.fits: ap = 40, w1 = 6228.78, w2 = 6097.37, dw = -0.07964, nw = 1651 A0V.0013.ec.fits: ap = 41, w1 = 6161.812, w2 = 6031.817, dw = -0.07878, nw = 1651 A0V.0013.ec.fits: ap = 42, w1 = 6096.269, w2 = 5967.659, dw = -0.07795, nw = 1651 A0V.0013.ec.fits: ap = 43, w1 = 6032.105, w2 = 5904.851, dw = -0.07712, nw = 1651 A0V.0013.ec.fits: ap = 44, w1 = 5969.279, w2 = 5843.352, dw = -0.07632, nw = 1651 A0V.0013.ec.fits: ap = 45, w1 = 5907.748, w2 = 5783.121, dw = -0.07553, nw = 1651 A0V.0013.ec.fits: ap = 46, w1 = 5847.473, w2 = 5724.119, dw = -0.07476, nw = 1651 A0V.0013.ec.fits: ap = 47, w1 = 5788.415, w2 = 5666.309, dw = -0.074, nw = 1651 A0V.0013.ec.fits: ap = 48, w1 = 5730.539, w2 = 5609.656, dw = -0.07326, nw = 1651 A0V.0013.ec.fits: ap = 49, w1 = 5673.808, w2 = 5554.124, dw = -0.07254, nw = 1651 A0V.0013.ec.fits: ap = 50, w1 = 5618.191, w2 = 5499.682, dw = -0.07182, nw = 1651 A0V.0013.ec.fits: ap = 51, w1 = 5563.653, w2 = 5446.296, dw = -0.07113, nw = 1651 A0V.0013.ec.fits: ap = 52, w1 = 5510.164, w2 = 5393.938, dw = -0.07044, nw = 1651 A0V.0013.ec.fits: ap = 53, w1 = 5457.694, w2 = 5342.577, dw = -0.06977, nw = 1651 A0V.0013.ec.fits: ap = 54, w1 = 5406.214, w2 = 5292.184, dw = -0.06911, nw = 1651 A0V.0013.ec.fits: ap = 55, w1 = 5355.697, w2 = 5242.734, dw = -0.06846, nw = 1651 A0V.0013.ec.fits: ap = 56, w1 = 5306.115, w2 = 5194.2, dw = -0.06783, nw = 1651 A0V.0013.ec.fits: ap = 57, w1 = 5257.442, w2 = 5146.557, dw = -0.0672, nw = 1651 A0V.0013.ec.fits: ap = 58, w1 = 5209.655, w2 = 5099.779, dw = -0.06659, nw = 1651 A0V.0013.ec.fits: ap = 59, w1 = 5162.729, w2 = 5053.845, dw = -0.06599, nw = 1651 A0V.0013.ec.fits: ap = 60, w1 = 5116.642, w2 = 5008.731, dw = -0.0654, nw = 1651 A0V.0013.ec.fits: ap = 61, w1 = 5071.369, w2 = 4964.416, dw = -0.06482, nw = 1651 A0V.0013.ec.fits: ap = 62, w1 = 5026.892, w2 = 4920.878, dw = -0.06425, nw = 1651 A0V.0013.ec.fits: ap = 63, w1 = 4983.188, w2 = 4878.097, dw = -0.06369, nw = 1651 A0V.0013.ec.fits: ap = 64, w1 = 4940.237, w2 = 4836.054, dw = -0.06314, nw = 1651 A0V.0013.ec.fits: ap = 65, w1 = 4898.021, w2 = 4794.73, dw = -0.0626, nw = 1651 A0V.0013.ec.fits: ap = 66, w1 = 4856.521, w2 = 4754.106, dw = -0.06207, nw = 1651 A0V.0013.ec.fits: ap = 67, w1 = 4815.718, w2 = 4714.166, dw = -0.06155, nw = 1651 A0V.0013.ec.fits: ap = 68, w1 = 4775.595, w2 = 4674.891, dw = -0.06103, nw = 1651 A0V.0013.ec.fits: ap = 69, w1 = 4736.136, w2 = 4636.265, dw = -0.06053, nw = 1651 A0V.0013.ec.fits: ap = 70, w1 = 4697.324, w2 = 4598.272, dw = -0.06003, nw = 1651 A0V.0013.ec.fits: ap = 71, w1 = 4659.142, w2 = 4560.898, dw = -0.05954, nw = 1651 A0V.0013.ec.fits: ap = 72, w1 = 4621.577, w2 = 4524.126, dw = -0.05906, nw = 1651 A0V.0013.ec.fits: ap = 73, w1 = 4584.613, w2 = 4487.943, dw = -0.05859, nw = 1651 A0V.0013.ec.fits: ap = 74, w1 = 4548.236, w2 = 4452.334, dw = -0.05812, nw = 1651 A0V.0013.ec.fits: ap = 75, w1 = 4512.432, w2 = 4417.286, dw = -0.05766, nw = 1651 A0V.0013.ec.fits: ap = 76, w1 = 4477.188, w2 = 4382.786, dw = -0.05721, nw = 1651 A0V.0013.ec.fits: ap = 77, w1 = 4442.49, w2 = 4348.821, dw = -0.05677, nw = 1651 A0V.0013.ec.fits: ap = 78, w1 = 4408.326, w2 = 4315.378, dw = -0.05633, nw = 1651 A0V.0013.ec.fits: ap = 79, w1 = 4374.684, w2 = 4282.447, dw = -0.0559, nw = 1651 A0V.0013.ec.fits: ap = 80, w1 = 4341.552, w2 = 4250.014, dw = -0.05548, nw = 1651 A0V.0013.ec.fits: ap = 81, w1 = 4308.918, w2 = 4218.069, dw = -0.05506, nw = 1651 A0V.0013.ec.fits: ap = 82, w1 = 4276.772, w2 = 4186.601, dw = -0.05465, nw = 1651 A0V.0013.ec.fits: ap = 83, w1 = 4245.102, w2 = 4155.599, dw = -0.05424, nw = 1651 A0V.0013.ec.fits: ap = 84, w1 = 4213.898, w2 = 4125.053, dw = -0.05385, nw = 1651 A0V.0013.ec.fits: ap = 85, w1 = 4183.149, w2 = 4094.953, dw = -0.05345, nw = 1651 A0V.0013.ec.fits: ap = 86, w1 = 4152.847, w2 = 4065.289, dw = -0.05306, nw = 1651 A0V.0013.ec.fits: ap = 87, w1 = 4122.98, w2 = 4036.053, dw = -0.05268, nw = 1651 A0V.0013.ec.fits: ap = 88, w1 = 4093.541, w2 = 4007.234, dw = -0.05231, nw = 1651 A0V.0013.ec.fits: ap = 89, w1 = 4064.519, w2 = 3978.824, dw = -0.05194, nw = 1651 A0V.0013.ec.fits: ap = 90, w1 = 4035.906, w2 = 3950.814, dw = -0.05157, nw = 1651 A0V.0013.ec.fits: ap = 91, w1 = 4007.694, w2 = 3923.196, dw = -0.05121, nw = 1651 A0V.0013.ec.fits: ap = 92, w1 = 3979.874, w2 = 3895.962, dw = -0.05086, nw = 1651 A0V.0013.ec.fits: ap = 93, w1 = 3952.437, w2 = 3869.104, dw = -0.05051, nw = 1651 A0V.0013.ec.fits: ap = 94, w1 = 3925.377, w2 = 3842.613, dw = -0.05016, nw = 1651 A0V.0013.ec.fits: ap = 95, w1 = 3898.685, w2 = 3816.483, dw = -0.04982, nw = 1651 A0V.0013.ec.fits: ap = 96, w1 = 3872.354, w2 = 3790.706, dw = -0.04948, nw = 1651 A0V.0013.ec.fits: ap = 97, w1 = 3846.377, w2 = 3765.276, dw = -0.04915, nw = 1651 A0V.0013.ec.fits: ap = 98, w1 = 3820.747, w2 = 3740.184, dw = -0.04883, nw = 1651 A0V.0013.ec.fits: ap = 99, w1 = 3795.456, w2 = 3715.425, dw = -0.0485, nw = 1651 A0V.0013.ec.fits: ap = 100, w1 = 3770.498, w2 = 3690.992, dw = -0.04819, nw = 1651 A0V.0013.ec.fits: ap = 101, w1 = 3745.867, w2 = 3666.878, dw = -0.04787, nw = 1651 A0V.0013.ec.fits: ap = 102, w1 = 3721.555, w2 = 3643.077, dw = -0.04756, nw = 1651 A0V.0013.ec.fits: ap = 103, w1 = 3697.558, w2 = 3619.584, dw = -0.04726, nw = 1651 A0V.0013.ec.fits: ap = 104, w1 = 3673.869, w2 = 3596.392, dw = -0.04696, nw = 1651 A0V.0013.ec.fits: ap = 105, w1 = 3650.482, w2 = 3573.495, dw = -0.04666, nw = 1651 A0V.0013.ec.fits: ap = 106, w1 = 3627.391, w2 = 3550.888, dw = -0.04636, nw = 1651 A0V.0013.ec.fits: ap = 107, w1 = 3604.59, w2 = 3528.566, dw = -0.04608, nw = 1651 A0V.0013.ec.fits: ap = 108, w1 = 3582.076, w2 = 3506.523, dw = -0.04579, nw = 1651 A0V.0013.ec.fits: ap = 109, w1 = 3559.841, w2 = 3484.754, dw = -0.04551, nw = 1651 A0V.0013.ec.fits: ap = 110, w1 = 3537.88, w2 = 3463.253, dw = -0.04523, nw = 1651 A0V.0013.ec.fits: ap = 111, w1 = 3516.19, w2 = 3442.017, dw = -0.04495, nw = 1651 A0V.0013.ec.fits: ap = 112, w1 = 3494.765, w2 = 3421.039, dw = -0.04468, nw = 1651 A0V.0013.ec.fits: ap = 113, w1 = 3473.599, w2 = 3400.316, dw = -0.04441, nw = 1651 A0V.0013.ec.fits: ap = 114, w1 = 3452.689, w2 = 3379.843, dw = -0.04415, nw = 1651 A0V.0013.ec.fits: ap = 115, w1 = 3432.029, w2 = 3359.615, dw = -0.04389, nw = 1651 Venus_day.0014.ec.fits: REFSPEC1 = 'ThAr.0023.ec 1.' Venus_day.0014.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.46, dw = -0.1383, nw = 1651 Venus_day.0014.ec.fits: ap = 2, w1 = 10611.46, w2 = 10387.49, dw = -0.13574, nw = 1651 Venus_day.0014.ec.fits: ap = 3, w1 = 10418.54, w2 = 10198.64, dw = -0.13327, nw = 1651 Venus_day.0014.ec.fits: ap = 4, w1 = 10232.51, w2 = 10016.54, dw = -0.13089, nw = 1651 Venus_day.0014.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.829, dw = -0.12859, nw = 1651 Venus_day.0014.ec.fits: ap = 6, w1 = 9879.694, w2 = 9671.176, dw = -0.12637, nw = 1651 Venus_day.0014.ec.fits: ap = 7, w1 = 9712.255, w2 = 9507.273, dw = -0.12423, nw = 1651 Venus_day.0014.ec.fits: ap = 8, w1 = 9550.397, w2 = 9348.834, dw = -0.12216, nw = 1651 Venus_day.0014.ec.fits: ap = 9, w1 = 9393.846, w2 = 9195.589, dw = -0.12016, nw = 1651 Venus_day.0014.ec.fits: ap = 10, w1 = 9242.345, w2 = 9047.287, dw = -0.11822, nw = 1651 Venus_day.0014.ec.fits: ap = 11, w1 = 9095.654, w2 = 8903.694, dw = -0.11634, nw = 1651 Venus_day.0014.ec.fits: ap = 12, w1 = 8953.546, w2 = 8764.587, dw = -0.11452, nw = 1651 Venus_day.0014.ec.fits: ap = 13, w1 = 8815.811, w2 = 8629.761, dw = -0.11276, nw = 1651 Venus_day.0014.ec.fits: ap = 14, w1 = 8682.25, w2 = 8499.021, dw = -0.11105, nw = 1651 Venus_day.0014.ec.fits: ap = 15, w1 = 8552.676, w2 = 8372.183, dw = -0.10939, nw = 1651 Venus_day.0014.ec.fits: ap = 16, w1 = 8426.912, w2 = 8249.075, dw = -0.10778, nw = 1651 Venus_day.0014.ec.fits: ap = 17, w1 = 8304.794, w2 = 8129.536, dw = -0.10622, nw = 1651 Venus_day.0014.ec.fits: ap = 18, w1 = 8186.165, w2 = 8013.412, dw = -0.1047, nw = 1651 Venus_day.0014.ec.fits: ap = 19, w1 = 8070.877, w2 = 7900.559, dw = -0.10322, nw = 1651 Venus_day.0014.ec.fits: ap = 20, w1 = 7958.792, w2 = 7790.841, dw = -0.10179, nw = 1651 Venus_day.0014.ec.fits: ap = 21, w1 = 7849.778, w2 = 7684.129, dw = -0.10039, nw = 1651 Venus_day.0014.ec.fits: ap = 22, w1 = 7743.71, w2 = 7580.301, dw = -0.09904, nw = 1651 Venus_day.0014.ec.fits: ap = 23, w1 = 7640.47, w2 = 7479.242, dw = -0.09771, nw = 1651 Venus_day.0014.ec.fits: ap = 24, w1 = 7539.947, w2 = 7380.842, dw = -0.09643, nw = 1651 Venus_day.0014.ec.fits: ap = 25, w1 = 7442.036, w2 = 7284.998, dw = -0.09517, nw = 1651 Venus_day.0014.ec.fits: ap = 26, w1 = 7346.634, w2 = 7191.612, dw = -0.09395, nw = 1651 Venus_day.0014.ec.fits: ap = 27, w1 = 7253.648, w2 = 7100.59, dw = -0.09276, nw = 1651 Venus_day.0014.ec.fits: ap = 28, w1 = 7162.987, w2 = 7011.843, dw = -0.0916, nw = 1651 Venus_day.0014.ec.fits: ap = 29, w1 = 7074.564, w2 = 6925.288, dw = -0.09047, nw = 1651 Venus_day.0014.ec.fits: ap = 30, w1 = 6988.298, w2 = 6840.844, dw = -0.08937, nw = 1651 Venus_day.0014.ec.fits: ap = 31, w1 = 6904.11, w2 = 6758.434, dw = -0.08829, nw = 1651 Venus_day.0014.ec.fits: ap = 32, w1 = 6821.927, w2 = 6677.987, dw = -0.08724, nw = 1651 Venus_day.0014.ec.fits: ap = 33, w1 = 6741.678, w2 = 6599.433, dw = -0.08621, nw = 1651 Venus_day.0014.ec.fits: ap = 34, w1 = 6663.295, w2 = 6522.706, dw = -0.08521, nw = 1651 Venus_day.0014.ec.fits: ap = 35, w1 = 6586.713, w2 = 6447.742, dw = -0.08423, nw = 1651 Venus_day.0014.ec.fits: ap = 36, w1 = 6511.873, w2 = 6374.482, dw = -0.08327, nw = 1651 Venus_day.0014.ec.fits: ap = 37, w1 = 6438.714, w2 = 6302.869, dw = -0.08233, nw = 1651 Venus_day.0014.ec.fits: ap = 38, w1 = 6367.181, w2 = 6232.847, dw = -0.08141, nw = 1651 Venus_day.0014.ec.fits: ap = 39, w1 = 6297.22, w2 = 6164.364, dw = -0.08052, nw = 1651 Venus_day.0014.ec.fits: ap = 40, w1 = 6228.78, w2 = 6097.37, dw = -0.07964, nw = 1651 Venus_day.0014.ec.fits: ap = 41, w1 = 6161.812, w2 = 6031.817, dw = -0.07878, nw = 1651 Venus_day.0014.ec.fits: ap = 42, w1 = 6096.269, w2 = 5967.659, dw = -0.07795, nw = 1651 Venus_day.0014.ec.fits: ap = 43, w1 = 6032.105, w2 = 5904.851, dw = -0.07712, nw = 1651 Venus_day.0014.ec.fits: ap = 44, w1 = 5969.279, w2 = 5843.352, dw = -0.07632, nw = 1651 Venus_day.0014.ec.fits: ap = 45, w1 = 5907.748, w2 = 5783.121, dw = -0.07553, nw = 1651 Venus_day.0014.ec.fits: ap = 46, w1 = 5847.473, w2 = 5724.119, dw = -0.07476, nw = 1651 Venus_day.0014.ec.fits: ap = 47, w1 = 5788.415, w2 = 5666.309, dw = -0.074, nw = 1651 Venus_day.0014.ec.fits: ap = 48, w1 = 5730.539, w2 = 5609.656, dw = -0.07326, nw = 1651 Venus_day.0014.ec.fits: ap = 49, w1 = 5673.808, w2 = 5554.124, dw = -0.07254, nw = 1651 Venus_day.0014.ec.fits: ap = 50, w1 = 5618.191, w2 = 5499.682, dw = -0.07182, nw = 1651 Venus_day.0014.ec.fits: ap = 51, w1 = 5563.653, w2 = 5446.296, dw = -0.07113, nw = 1651 Venus_day.0014.ec.fits: ap = 52, w1 = 5510.164, w2 = 5393.938, dw = -0.07044, nw = 1651 Venus_day.0014.ec.fits: ap = 53, w1 = 5457.694, w2 = 5342.577, dw = -0.06977, nw = 1651 Venus_day.0014.ec.fits: ap = 54, w1 = 5406.214, w2 = 5292.184, dw = -0.06911, nw = 1651 Venus_day.0014.ec.fits: ap = 55, w1 = 5355.697, w2 = 5242.734, dw = -0.06846, nw = 1651 Venus_day.0014.ec.fits: ap = 56, w1 = 5306.115, w2 = 5194.2, dw = -0.06783, nw = 1651 Venus_day.0014.ec.fits: ap = 57, w1 = 5257.442, w2 = 5146.557, dw = -0.0672, nw = 1651 Venus_day.0014.ec.fits: ap = 58, w1 = 5209.655, w2 = 5099.779, dw = -0.06659, nw = 1651 Venus_day.0014.ec.fits: ap = 59, w1 = 5162.729, w2 = 5053.845, dw = -0.06599, nw = 1651 Venus_day.0014.ec.fits: ap = 60, w1 = 5116.642, w2 = 5008.731, dw = -0.0654, nw = 1651 Venus_day.0014.ec.fits: ap = 61, w1 = 5071.369, w2 = 4964.416, dw = -0.06482, nw = 1651 Venus_day.0014.ec.fits: ap = 62, w1 = 5026.892, w2 = 4920.878, dw = -0.06425, nw = 1651 Venus_day.0014.ec.fits: ap = 63, w1 = 4983.188, w2 = 4878.097, dw = -0.06369, nw = 1651 Venus_day.0014.ec.fits: ap = 64, w1 = 4940.237, w2 = 4836.054, dw = -0.06314, nw = 1651 Venus_day.0014.ec.fits: ap = 65, w1 = 4898.021, w2 = 4794.73, dw = -0.0626, nw = 1651 Venus_day.0014.ec.fits: ap = 66, w1 = 4856.521, w2 = 4754.106, dw = -0.06207, nw = 1651 Venus_day.0014.ec.fits: ap = 67, w1 = 4815.718, w2 = 4714.166, dw = -0.06155, nw = 1651 Venus_day.0014.ec.fits: ap = 68, w1 = 4775.595, w2 = 4674.891, dw = -0.06103, nw = 1651 Venus_day.0014.ec.fits: ap = 69, w1 = 4736.136, w2 = 4636.265, dw = -0.06053, nw = 1651 Venus_day.0014.ec.fits: ap = 70, w1 = 4697.324, w2 = 4598.272, dw = -0.06003, nw = 1651 Venus_day.0014.ec.fits: ap = 71, w1 = 4659.142, w2 = 4560.898, dw = -0.05954, nw = 1651 Venus_day.0014.ec.fits: ap = 72, w1 = 4621.577, w2 = 4524.126, dw = -0.05906, nw = 1651 Venus_day.0014.ec.fits: ap = 73, w1 = 4584.613, w2 = 4487.943, dw = -0.05859, nw = 1651 Venus_day.0014.ec.fits: ap = 74, w1 = 4548.236, w2 = 4452.334, dw = -0.05812, nw = 1651 Venus_day.0014.ec.fits: ap = 75, w1 = 4512.432, w2 = 4417.286, dw = -0.05766, nw = 1651 Venus_day.0014.ec.fits: ap = 76, w1 = 4477.188, w2 = 4382.786, dw = -0.05721, nw = 1651 Venus_day.0014.ec.fits: ap = 77, w1 = 4442.49, w2 = 4348.821, dw = -0.05677, nw = 1651 Venus_day.0014.ec.fits: ap = 78, w1 = 4408.326, w2 = 4315.378, dw = -0.05633, nw = 1651 Venus_day.0014.ec.fits: ap = 79, w1 = 4374.684, w2 = 4282.447, dw = -0.0559, nw = 1651 Venus_day.0014.ec.fits: ap = 80, w1 = 4341.552, w2 = 4250.014, dw = -0.05548, nw = 1651 Venus_day.0014.ec.fits: ap = 81, w1 = 4308.918, w2 = 4218.069, dw = -0.05506, nw = 1651 Venus_day.0014.ec.fits: ap = 82, w1 = 4276.772, w2 = 4186.601, dw = -0.05465, nw = 1651 Venus_day.0014.ec.fits: ap = 83, w1 = 4245.102, w2 = 4155.599, dw = -0.05424, nw = 1651 Venus_day.0014.ec.fits: ap = 84, w1 = 4213.898, w2 = 4125.053, dw = -0.05385, nw = 1651 Venus_day.0014.ec.fits: ap = 85, w1 = 4183.149, w2 = 4094.953, dw = -0.05345, nw = 1651 Venus_day.0014.ec.fits: ap = 86, w1 = 4152.847, w2 = 4065.289, dw = -0.05306, nw = 1651 Venus_day.0014.ec.fits: ap = 87, w1 = 4122.98, w2 = 4036.053, dw = -0.05268, nw = 1651 Venus_day.0014.ec.fits: ap = 88, w1 = 4093.541, w2 = 4007.234, dw = -0.05231, nw = 1651 Venus_day.0014.ec.fits: ap = 89, w1 = 4064.519, w2 = 3978.824, dw = -0.05194, nw = 1651 Venus_day.0014.ec.fits: ap = 90, w1 = 4035.906, w2 = 3950.814, dw = -0.05157, nw = 1651 Venus_day.0014.ec.fits: ap = 91, w1 = 4007.694, w2 = 3923.196, dw = -0.05121, nw = 1651 Venus_day.0014.ec.fits: ap = 92, w1 = 3979.874, w2 = 3895.962, dw = -0.05086, nw = 1651 Venus_day.0014.ec.fits: ap = 93, w1 = 3952.437, w2 = 3869.104, dw = -0.05051, nw = 1651 Venus_day.0014.ec.fits: ap = 94, w1 = 3925.377, w2 = 3842.613, dw = -0.05016, nw = 1651 Venus_day.0014.ec.fits: ap = 95, w1 = 3898.685, w2 = 3816.483, dw = -0.04982, nw = 1651 Venus_day.0014.ec.fits: ap = 96, w1 = 3872.354, w2 = 3790.706, dw = -0.04948, nw = 1651 Venus_day.0014.ec.fits: ap = 97, w1 = 3846.377, w2 = 3765.276, dw = -0.04915, nw = 1651 Venus_day.0014.ec.fits: ap = 98, w1 = 3820.747, w2 = 3740.184, dw = -0.04883, nw = 1651 Venus_day.0014.ec.fits: ap = 99, w1 = 3795.456, w2 = 3715.425, dw = -0.0485, nw = 1651 Venus_day.0014.ec.fits: ap = 100, w1 = 3770.498, w2 = 3690.992, dw = -0.04819, nw = 1651 Venus_day.0014.ec.fits: ap = 101, w1 = 3745.867, w2 = 3666.878, dw = -0.04787, nw = 1651 Venus_day.0014.ec.fits: ap = 102, w1 = 3721.555, w2 = 3643.077, dw = -0.04756, nw = 1651 Venus_day.0014.ec.fits: ap = 103, w1 = 3697.558, w2 = 3619.584, dw = -0.04726, nw = 1651 Venus_day.0014.ec.fits: ap = 104, w1 = 3673.869, w2 = 3596.392, dw = -0.04696, nw = 1651 Venus_day.0014.ec.fits: ap = 105, w1 = 3650.482, w2 = 3573.495, dw = -0.04666, nw = 1651 Venus_day.0014.ec.fits: ap = 106, w1 = 3627.391, w2 = 3550.888, dw = -0.04636, nw = 1651 Venus_day.0014.ec.fits: ap = 107, w1 = 3604.59, w2 = 3528.566, dw = -0.04608, nw = 1651 Venus_day.0014.ec.fits: ap = 108, w1 = 3582.076, w2 = 3506.523, dw = -0.04579, nw = 1651 Venus_day.0014.ec.fits: ap = 109, w1 = 3559.841, w2 = 3484.754, dw = -0.04551, nw = 1651 Venus_day.0014.ec.fits: ap = 110, w1 = 3537.88, w2 = 3463.253, dw = -0.04523, nw = 1651 Venus_day.0014.ec.fits: ap = 111, w1 = 3516.19, w2 = 3442.017, dw = -0.04495, nw = 1651 Venus_day.0014.ec.fits: ap = 112, w1 = 3494.765, w2 = 3421.039, dw = -0.04468, nw = 1651 Venus_day.0014.ec.fits: ap = 113, w1 = 3473.599, w2 = 3400.316, dw = -0.04441, nw = 1651 Venus_day.0014.ec.fits: ap = 114, w1 = 3452.689, w2 = 3379.843, dw = -0.04415, nw = 1651 Venus_day.0014.ec.fits: ap = 115, w1 = 3432.029, w2 = 3359.615, dw = -0.04389, nw = 1651 Venus_day.0015.ec.fits: REFSPEC1 = 'ThAr.0023.ec 1.' Venus_day.0015.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.46, dw = -0.1383, nw = 1651 Venus_day.0015.ec.fits: ap = 2, w1 = 10611.46, w2 = 10387.49, dw = -0.13574, nw = 1651 Venus_day.0015.ec.fits: ap = 3, w1 = 10418.54, w2 = 10198.64, dw = -0.13327, nw = 1651 Venus_day.0015.ec.fits: ap = 4, w1 = 10232.51, w2 = 10016.54, dw = -0.13089, nw = 1651 Venus_day.0015.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.829, dw = -0.12859, nw = 1651 Venus_day.0015.ec.fits: ap = 6, w1 = 9879.694, w2 = 9671.176, dw = -0.12637, nw = 1651 Venus_day.0015.ec.fits: ap = 7, w1 = 9712.255, w2 = 9507.273, dw = -0.12423, nw = 1651 Venus_day.0015.ec.fits: ap = 8, w1 = 9550.397, w2 = 9348.834, dw = -0.12216, nw = 1651 Venus_day.0015.ec.fits: ap = 9, w1 = 9393.846, w2 = 9195.589, dw = -0.12016, nw = 1651 Venus_day.0015.ec.fits: ap = 10, w1 = 9242.345, w2 = 9047.287, dw = -0.11822, nw = 1651 Venus_day.0015.ec.fits: ap = 11, w1 = 9095.654, w2 = 8903.694, dw = -0.11634, nw = 1651 Venus_day.0015.ec.fits: ap = 12, w1 = 8953.546, w2 = 8764.587, dw = -0.11452, nw = 1651 Venus_day.0015.ec.fits: ap = 13, w1 = 8815.811, w2 = 8629.761, dw = -0.11276, nw = 1651 Venus_day.0015.ec.fits: ap = 14, w1 = 8682.25, w2 = 8499.021, dw = -0.11105, nw = 1651 Venus_day.0015.ec.fits: ap = 15, w1 = 8552.676, w2 = 8372.183, dw = -0.10939, nw = 1651 Venus_day.0015.ec.fits: ap = 16, w1 = 8426.912, w2 = 8249.075, dw = -0.10778, nw = 1651 Venus_day.0015.ec.fits: ap = 17, w1 = 8304.794, w2 = 8129.536, dw = -0.10622, nw = 1651 Venus_day.0015.ec.fits: ap = 18, w1 = 8186.165, w2 = 8013.412, dw = -0.1047, nw = 1651 Venus_day.0015.ec.fits: ap = 19, w1 = 8070.877, w2 = 7900.559, dw = -0.10322, nw = 1651 Venus_day.0015.ec.fits: ap = 20, w1 = 7958.792, w2 = 7790.841, dw = -0.10179, nw = 1651 Venus_day.0015.ec.fits: ap = 21, w1 = 7849.778, w2 = 7684.129, dw = -0.10039, nw = 1651 Venus_day.0015.ec.fits: ap = 22, w1 = 7743.71, w2 = 7580.301, dw = -0.09904, nw = 1651 Venus_day.0015.ec.fits: ap = 23, w1 = 7640.47, w2 = 7479.242, dw = -0.09771, nw = 1651 Venus_day.0015.ec.fits: ap = 24, w1 = 7539.947, w2 = 7380.842, dw = -0.09643, nw = 1651 Venus_day.0015.ec.fits: ap = 25, w1 = 7442.036, w2 = 7284.998, dw = -0.09517, nw = 1651 Venus_day.0015.ec.fits: ap = 26, w1 = 7346.634, w2 = 7191.612, dw = -0.09395, nw = 1651 Venus_day.0015.ec.fits: ap = 27, w1 = 7253.648, w2 = 7100.59, dw = -0.09276, nw = 1651 Venus_day.0015.ec.fits: ap = 28, w1 = 7162.987, w2 = 7011.843, dw = -0.0916, nw = 1651 Venus_day.0015.ec.fits: ap = 29, w1 = 7074.564, w2 = 6925.288, dw = -0.09047, nw = 1651 Venus_day.0015.ec.fits: ap = 30, w1 = 6988.298, w2 = 6840.844, dw = -0.08937, nw = 1651 Venus_day.0015.ec.fits: ap = 31, w1 = 6904.11, w2 = 6758.434, dw = -0.08829, nw = 1651 Venus_day.0015.ec.fits: ap = 32, w1 = 6821.927, w2 = 6677.987, dw = -0.08724, nw = 1651 Venus_day.0015.ec.fits: ap = 33, w1 = 6741.678, w2 = 6599.433, dw = -0.08621, nw = 1651 Venus_day.0015.ec.fits: ap = 34, w1 = 6663.295, w2 = 6522.706, dw = -0.08521, nw = 1651 Venus_day.0015.ec.fits: ap = 35, w1 = 6586.713, w2 = 6447.742, dw = -0.08423, nw = 1651 Venus_day.0015.ec.fits: ap = 36, w1 = 6511.873, w2 = 6374.482, dw = -0.08327, nw = 1651 Venus_day.0015.ec.fits: ap = 37, w1 = 6438.714, w2 = 6302.869, dw = -0.08233, nw = 1651 Venus_day.0015.ec.fits: ap = 38, w1 = 6367.181, w2 = 6232.847, dw = -0.08141, nw = 1651 Venus_day.0015.ec.fits: ap = 39, w1 = 6297.22, w2 = 6164.364, dw = -0.08052, nw = 1651 Venus_day.0015.ec.fits: ap = 40, w1 = 6228.78, w2 = 6097.37, dw = -0.07964, nw = 1651 Venus_day.0015.ec.fits: ap = 41, w1 = 6161.812, w2 = 6031.817, dw = -0.07878, nw = 1651 Venus_day.0015.ec.fits: ap = 42, w1 = 6096.269, w2 = 5967.659, dw = -0.07795, nw = 1651 Venus_day.0015.ec.fits: ap = 43, w1 = 6032.105, w2 = 5904.851, dw = -0.07712, nw = 1651 Venus_day.0015.ec.fits: ap = 44, w1 = 5969.279, w2 = 5843.352, dw = -0.07632, nw = 1651 Venus_day.0015.ec.fits: ap = 45, w1 = 5907.748, w2 = 5783.121, dw = -0.07553, nw = 1651 Venus_day.0015.ec.fits: ap = 46, w1 = 5847.473, w2 = 5724.119, dw = -0.07476, nw = 1651 Venus_day.0015.ec.fits: ap = 47, w1 = 5788.415, w2 = 5666.309, dw = -0.074, nw = 1651 Venus_day.0015.ec.fits: ap = 48, w1 = 5730.539, w2 = 5609.656, dw = -0.07326, nw = 1651 Venus_day.0015.ec.fits: ap = 49, w1 = 5673.808, w2 = 5554.124, dw = -0.07254, nw = 1651 Venus_day.0015.ec.fits: ap = 50, w1 = 5618.191, w2 = 5499.682, dw = -0.07182, nw = 1651 Venus_day.0015.ec.fits: ap = 51, w1 = 5563.653, w2 = 5446.296, dw = -0.07113, nw = 1651 Venus_day.0015.ec.fits: ap = 52, w1 = 5510.164, w2 = 5393.938, dw = -0.07044, nw = 1651 Venus_day.0015.ec.fits: ap = 53, w1 = 5457.694, w2 = 5342.577, dw = -0.06977, nw = 1651 Venus_day.0015.ec.fits: ap = 54, w1 = 5406.214, w2 = 5292.184, dw = -0.06911, nw = 1651 Venus_day.0015.ec.fits: ap = 55, w1 = 5355.697, w2 = 5242.734, dw = -0.06846, nw = 1651 Venus_day.0015.ec.fits: ap = 56, w1 = 5306.115, w2 = 5194.2, dw = -0.06783, nw = 1651 Venus_day.0015.ec.fits: ap = 57, w1 = 5257.442, w2 = 5146.557, dw = -0.0672, nw = 1651 Venus_day.0015.ec.fits: ap = 58, w1 = 5209.655, w2 = 5099.779, dw = -0.06659, nw = 1651 Venus_day.0015.ec.fits: ap = 59, w1 = 5162.729, w2 = 5053.845, dw = -0.06599, nw = 1651 Venus_day.0015.ec.fits: ap = 60, w1 = 5116.642, w2 = 5008.731, dw = -0.0654, nw = 1651 Venus_day.0015.ec.fits: ap = 61, w1 = 5071.369, w2 = 4964.416, dw = -0.06482, nw = 1651 Venus_day.0015.ec.fits: ap = 62, w1 = 5026.892, w2 = 4920.878, dw = -0.06425, nw = 1651 Venus_day.0015.ec.fits: ap = 63, w1 = 4983.188, w2 = 4878.097, dw = -0.06369, nw = 1651 Venus_day.0015.ec.fits: ap = 64, w1 = 4940.237, w2 = 4836.054, dw = -0.06314, nw = 1651 Venus_day.0015.ec.fits: ap = 65, w1 = 4898.021, w2 = 4794.73, dw = -0.0626, nw = 1651 Venus_day.0015.ec.fits: ap = 66, w1 = 4856.521, w2 = 4754.106, dw = -0.06207, nw = 1651 Venus_day.0015.ec.fits: ap = 67, w1 = 4815.718, w2 = 4714.166, dw = -0.06155, nw = 1651 Venus_day.0015.ec.fits: ap = 68, w1 = 4775.595, w2 = 4674.891, dw = -0.06103, nw = 1651 Venus_day.0015.ec.fits: ap = 69, w1 = 4736.136, w2 = 4636.265, dw = -0.06053, nw = 1651 Venus_day.0015.ec.fits: ap = 70, w1 = 4697.324, w2 = 4598.272, dw = -0.06003, nw = 1651 Venus_day.0015.ec.fits: ap = 71, w1 = 4659.142, w2 = 4560.898, dw = -0.05954, nw = 1651 Venus_day.0015.ec.fits: ap = 72, w1 = 4621.577, w2 = 4524.126, dw = -0.05906, nw = 1651 Venus_day.0015.ec.fits: ap = 73, w1 = 4584.613, w2 = 4487.943, dw = -0.05859, nw = 1651 Venus_day.0015.ec.fits: ap = 74, w1 = 4548.236, w2 = 4452.334, dw = -0.05812, nw = 1651 Venus_day.0015.ec.fits: ap = 75, w1 = 4512.432, w2 = 4417.286, dw = -0.05766, nw = 1651 Venus_day.0015.ec.fits: ap = 76, w1 = 4477.188, w2 = 4382.786, dw = -0.05721, nw = 1651 Venus_day.0015.ec.fits: ap = 77, w1 = 4442.49, w2 = 4348.821, dw = -0.05677, nw = 1651 Venus_day.0015.ec.fits: ap = 78, w1 = 4408.326, w2 = 4315.378, dw = -0.05633, nw = 1651 Venus_day.0015.ec.fits: ap = 79, w1 = 4374.684, w2 = 4282.447, dw = -0.0559, nw = 1651 Venus_day.0015.ec.fits: ap = 80, w1 = 4341.552, w2 = 4250.014, dw = -0.05548, nw = 1651 Venus_day.0015.ec.fits: ap = 81, w1 = 4308.918, w2 = 4218.069, dw = -0.05506, nw = 1651 Venus_day.0015.ec.fits: ap = 82, w1 = 4276.772, w2 = 4186.601, dw = -0.05465, nw = 1651 Venus_day.0015.ec.fits: ap = 83, w1 = 4245.102, w2 = 4155.599, dw = -0.05424, nw = 1651 Venus_day.0015.ec.fits: ap = 84, w1 = 4213.898, w2 = 4125.053, dw = -0.05385, nw = 1651 Venus_day.0015.ec.fits: ap = 85, w1 = 4183.149, w2 = 4094.953, dw = -0.05345, nw = 1651 Venus_day.0015.ec.fits: ap = 86, w1 = 4152.847, w2 = 4065.289, dw = -0.05306, nw = 1651 Venus_day.0015.ec.fits: ap = 87, w1 = 4122.98, w2 = 4036.053, dw = -0.05268, nw = 1651 Venus_day.0015.ec.fits: ap = 88, w1 = 4093.541, w2 = 4007.234, dw = -0.05231, nw = 1651 Venus_day.0015.ec.fits: ap = 89, w1 = 4064.519, w2 = 3978.824, dw = -0.05194, nw = 1651 Venus_day.0015.ec.fits: ap = 90, w1 = 4035.906, w2 = 3950.814, dw = -0.05157, nw = 1651 Venus_day.0015.ec.fits: ap = 91, w1 = 4007.694, w2 = 3923.196, dw = -0.05121, nw = 1651 Venus_day.0015.ec.fits: ap = 92, w1 = 3979.874, w2 = 3895.962, dw = -0.05086, nw = 1651 Venus_day.0015.ec.fits: ap = 93, w1 = 3952.437, w2 = 3869.104, dw = -0.05051, nw = 1651 Venus_day.0015.ec.fits: ap = 94, w1 = 3925.377, w2 = 3842.613, dw = -0.05016, nw = 1651 Venus_day.0015.ec.fits: ap = 95, w1 = 3898.685, w2 = 3816.483, dw = -0.04982, nw = 1651 Venus_day.0015.ec.fits: ap = 96, w1 = 3872.354, w2 = 3790.706, dw = -0.04948, nw = 1651 Venus_day.0015.ec.fits: ap = 97, w1 = 3846.377, w2 = 3765.276, dw = -0.04915, nw = 1651 Venus_day.0015.ec.fits: ap = 98, w1 = 3820.747, w2 = 3740.184, dw = -0.04883, nw = 1651 Venus_day.0015.ec.fits: ap = 99, w1 = 3795.456, w2 = 3715.425, dw = -0.0485, nw = 1651 Venus_day.0015.ec.fits: ap = 100, w1 = 3770.498, w2 = 3690.992, dw = -0.04819, nw = 1651 Venus_day.0015.ec.fits: ap = 101, w1 = 3745.867, w2 = 3666.878, dw = -0.04787, nw = 1651 Venus_day.0015.ec.fits: ap = 102, w1 = 3721.555, w2 = 3643.077, dw = -0.04756, nw = 1651 Venus_day.0015.ec.fits: ap = 103, w1 = 3697.558, w2 = 3619.584, dw = -0.04726, nw = 1651 Venus_day.0015.ec.fits: ap = 104, w1 = 3673.869, w2 = 3596.392, dw = -0.04696, nw = 1651 Venus_day.0015.ec.fits: ap = 105, w1 = 3650.482, w2 = 3573.495, dw = -0.04666, nw = 1651 Venus_day.0015.ec.fits: ap = 106, w1 = 3627.391, w2 = 3550.888, dw = -0.04636, nw = 1651 Venus_day.0015.ec.fits: ap = 107, w1 = 3604.59, w2 = 3528.566, dw = -0.04608, nw = 1651 Venus_day.0015.ec.fits: ap = 108, w1 = 3582.076, w2 = 3506.523, dw = -0.04579, nw = 1651 Venus_day.0015.ec.fits: ap = 109, w1 = 3559.841, w2 = 3484.754, dw = -0.04551, nw = 1651 Venus_day.0015.ec.fits: ap = 110, w1 = 3537.88, w2 = 3463.253, dw = -0.04523, nw = 1651 Venus_day.0015.ec.fits: ap = 111, w1 = 3516.19, w2 = 3442.017, dw = -0.04495, nw = 1651 Venus_day.0015.ec.fits: ap = 112, w1 = 3494.765, w2 = 3421.039, dw = -0.04468, nw = 1651 Venus_day.0015.ec.fits: ap = 113, w1 = 3473.599, w2 = 3400.316, dw = -0.04441, nw = 1651 Venus_day.0015.ec.fits: ap = 114, w1 = 3452.689, w2 = 3379.843, dw = -0.04415, nw = 1651 Venus_day.0015.ec.fits: ap = 115, w1 = 3432.029, w2 = 3359.615, dw = -0.04389, nw = 1651 Venus_day.0016.ec.fits: REFSPEC1 = 'ThAr.0023.ec 1.' Venus_day.0016.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.46, dw = -0.1383, nw = 1651 Venus_day.0016.ec.fits: ap = 2, w1 = 10611.46, w2 = 10387.49, dw = -0.13574, nw = 1651 Venus_day.0016.ec.fits: ap = 3, w1 = 10418.54, w2 = 10198.64, dw = -0.13327, nw = 1651 Venus_day.0016.ec.fits: ap = 4, w1 = 10232.51, w2 = 10016.54, dw = -0.13089, nw = 1651 Venus_day.0016.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.829, dw = -0.12859, nw = 1651 Venus_day.0016.ec.fits: ap = 6, w1 = 9879.694, w2 = 9671.176, dw = -0.12637, nw = 1651 Venus_day.0016.ec.fits: ap = 7, w1 = 9712.255, w2 = 9507.273, dw = -0.12423, nw = 1651 Venus_day.0016.ec.fits: ap = 8, w1 = 9550.397, w2 = 9348.834, dw = -0.12216, nw = 1651 Venus_day.0016.ec.fits: ap = 9, w1 = 9393.846, w2 = 9195.589, dw = -0.12016, nw = 1651 Venus_day.0016.ec.fits: ap = 10, w1 = 9242.345, w2 = 9047.287, dw = -0.11822, nw = 1651 Venus_day.0016.ec.fits: ap = 11, w1 = 9095.654, w2 = 8903.694, dw = -0.11634, nw = 1651 Venus_day.0016.ec.fits: ap = 12, w1 = 8953.546, w2 = 8764.587, dw = -0.11452, nw = 1651 Venus_day.0016.ec.fits: ap = 13, w1 = 8815.811, w2 = 8629.761, dw = -0.11276, nw = 1651 Venus_day.0016.ec.fits: ap = 14, w1 = 8682.25, w2 = 8499.021, dw = -0.11105, nw = 1651 Venus_day.0016.ec.fits: ap = 15, w1 = 8552.676, w2 = 8372.183, dw = -0.10939, nw = 1651 Venus_day.0016.ec.fits: ap = 16, w1 = 8426.912, w2 = 8249.075, dw = -0.10778, nw = 1651 Venus_day.0016.ec.fits: ap = 17, w1 = 8304.794, w2 = 8129.536, dw = -0.10622, nw = 1651 Venus_day.0016.ec.fits: ap = 18, w1 = 8186.165, w2 = 8013.412, dw = -0.1047, nw = 1651 Venus_day.0016.ec.fits: ap = 19, w1 = 8070.877, w2 = 7900.559, dw = -0.10322, nw = 1651 Venus_day.0016.ec.fits: ap = 20, w1 = 7958.792, w2 = 7790.841, dw = -0.10179, nw = 1651 Venus_day.0016.ec.fits: ap = 21, w1 = 7849.778, w2 = 7684.129, dw = -0.10039, nw = 1651 Venus_day.0016.ec.fits: ap = 22, w1 = 7743.71, w2 = 7580.301, dw = -0.09904, nw = 1651 Venus_day.0016.ec.fits: ap = 23, w1 = 7640.47, w2 = 7479.242, dw = -0.09771, nw = 1651 Venus_day.0016.ec.fits: ap = 24, w1 = 7539.947, w2 = 7380.842, dw = -0.09643, nw = 1651 Venus_day.0016.ec.fits: ap = 25, w1 = 7442.036, w2 = 7284.998, dw = -0.09517, nw = 1651 Venus_day.0016.ec.fits: ap = 26, w1 = 7346.634, w2 = 7191.612, dw = -0.09395, nw = 1651 Venus_day.0016.ec.fits: ap = 27, w1 = 7253.648, w2 = 7100.59, dw = -0.09276, nw = 1651 Venus_day.0016.ec.fits: ap = 28, w1 = 7162.987, w2 = 7011.843, dw = -0.0916, nw = 1651 Venus_day.0016.ec.fits: ap = 29, w1 = 7074.564, w2 = 6925.288, dw = -0.09047, nw = 1651 Venus_day.0016.ec.fits: ap = 30, w1 = 6988.298, w2 = 6840.844, dw = -0.08937, nw = 1651 Venus_day.0016.ec.fits: ap = 31, w1 = 6904.11, w2 = 6758.434, dw = -0.08829, nw = 1651 Venus_day.0016.ec.fits: ap = 32, w1 = 6821.927, w2 = 6677.987, dw = -0.08724, nw = 1651 Venus_day.0016.ec.fits: ap = 33, w1 = 6741.678, w2 = 6599.433, dw = -0.08621, nw = 1651 Venus_day.0016.ec.fits: ap = 34, w1 = 6663.295, w2 = 6522.706, dw = -0.08521, nw = 1651 Venus_day.0016.ec.fits: ap = 35, w1 = 6586.713, w2 = 6447.742, dw = -0.08423, nw = 1651 Venus_day.0016.ec.fits: ap = 36, w1 = 6511.873, w2 = 6374.482, dw = -0.08327, nw = 1651 Venus_day.0016.ec.fits: ap = 37, w1 = 6438.714, w2 = 6302.869, dw = -0.08233, nw = 1651 Venus_day.0016.ec.fits: ap = 38, w1 = 6367.181, w2 = 6232.847, dw = -0.08141, nw = 1651 Venus_day.0016.ec.fits: ap = 39, w1 = 6297.22, w2 = 6164.364, dw = -0.08052, nw = 1651 Venus_day.0016.ec.fits: ap = 40, w1 = 6228.78, w2 = 6097.37, dw = -0.07964, nw = 1651 Venus_day.0016.ec.fits: ap = 41, w1 = 6161.812, w2 = 6031.817, dw = -0.07878, nw = 1651 Venus_day.0016.ec.fits: ap = 42, w1 = 6096.269, w2 = 5967.659, dw = -0.07795, nw = 1651 Venus_day.0016.ec.fits: ap = 43, w1 = 6032.105, w2 = 5904.851, dw = -0.07712, nw = 1651 Venus_day.0016.ec.fits: ap = 44, w1 = 5969.279, w2 = 5843.352, dw = -0.07632, nw = 1651 Venus_day.0016.ec.fits: ap = 45, w1 = 5907.748, w2 = 5783.121, dw = -0.07553, nw = 1651 Venus_day.0016.ec.fits: ap = 46, w1 = 5847.473, w2 = 5724.119, dw = -0.07476, nw = 1651 Venus_day.0016.ec.fits: ap = 47, w1 = 5788.415, w2 = 5666.309, dw = -0.074, nw = 1651 Venus_day.0016.ec.fits: ap = 48, w1 = 5730.539, w2 = 5609.656, dw = -0.07326, nw = 1651 Venus_day.0016.ec.fits: ap = 49, w1 = 5673.808, w2 = 5554.124, dw = -0.07254, nw = 1651 Venus_day.0016.ec.fits: ap = 50, w1 = 5618.191, w2 = 5499.682, dw = -0.07182, nw = 1651 Venus_day.0016.ec.fits: ap = 51, w1 = 5563.653, w2 = 5446.296, dw = -0.07113, nw = 1651 Venus_day.0016.ec.fits: ap = 52, w1 = 5510.164, w2 = 5393.938, dw = -0.07044, nw = 1651 Venus_day.0016.ec.fits: ap = 53, w1 = 5457.694, w2 = 5342.577, dw = -0.06977, nw = 1651 Venus_day.0016.ec.fits: ap = 54, w1 = 5406.214, w2 = 5292.184, dw = -0.06911, nw = 1651 Venus_day.0016.ec.fits: ap = 55, w1 = 5355.697, w2 = 5242.734, dw = -0.06846, nw = 1651 Venus_day.0016.ec.fits: ap = 56, w1 = 5306.115, w2 = 5194.2, dw = -0.06783, nw = 1651 Venus_day.0016.ec.fits: ap = 57, w1 = 5257.442, w2 = 5146.557, dw = -0.0672, nw = 1651 Venus_day.0016.ec.fits: ap = 58, w1 = 5209.655, w2 = 5099.779, dw = -0.06659, nw = 1651 Venus_day.0016.ec.fits: ap = 59, w1 = 5162.729, w2 = 5053.845, dw = -0.06599, nw = 1651 Venus_day.0016.ec.fits: ap = 60, w1 = 5116.642, w2 = 5008.731, dw = -0.0654, nw = 1651 Venus_day.0016.ec.fits: ap = 61, w1 = 5071.369, w2 = 4964.416, dw = -0.06482, nw = 1651 Venus_day.0016.ec.fits: ap = 62, w1 = 5026.892, w2 = 4920.878, dw = -0.06425, nw = 1651 Venus_day.0016.ec.fits: ap = 63, w1 = 4983.188, w2 = 4878.097, dw = -0.06369, nw = 1651 Venus_day.0016.ec.fits: ap = 64, w1 = 4940.237, w2 = 4836.054, dw = -0.06314, nw = 1651 Venus_day.0016.ec.fits: ap = 65, w1 = 4898.021, w2 = 4794.73, dw = -0.0626, nw = 1651 Venus_day.0016.ec.fits: ap = 66, w1 = 4856.521, w2 = 4754.106, dw = -0.06207, nw = 1651 Venus_day.0016.ec.fits: ap = 67, w1 = 4815.718, w2 = 4714.166, dw = -0.06155, nw = 1651 Venus_day.0016.ec.fits: ap = 68, w1 = 4775.595, w2 = 4674.891, dw = -0.06103, nw = 1651 Venus_day.0016.ec.fits: ap = 69, w1 = 4736.136, w2 = 4636.265, dw = -0.06053, nw = 1651 Venus_day.0016.ec.fits: ap = 70, w1 = 4697.324, w2 = 4598.272, dw = -0.06003, nw = 1651 Venus_day.0016.ec.fits: ap = 71, w1 = 4659.142, w2 = 4560.898, dw = -0.05954, nw = 1651 Venus_day.0016.ec.fits: ap = 72, w1 = 4621.577, w2 = 4524.126, dw = -0.05906, nw = 1651 Venus_day.0016.ec.fits: ap = 73, w1 = 4584.613, w2 = 4487.943, dw = -0.05859, nw = 1651 Venus_day.0016.ec.fits: ap = 74, w1 = 4548.236, w2 = 4452.334, dw = -0.05812, nw = 1651 Venus_day.0016.ec.fits: ap = 75, w1 = 4512.432, w2 = 4417.286, dw = -0.05766, nw = 1651 Venus_day.0016.ec.fits: ap = 76, w1 = 4477.188, w2 = 4382.786, dw = -0.05721, nw = 1651 Venus_day.0016.ec.fits: ap = 77, w1 = 4442.49, w2 = 4348.821, dw = -0.05677, nw = 1651 Venus_day.0016.ec.fits: ap = 78, w1 = 4408.326, w2 = 4315.378, dw = -0.05633, nw = 1651 Venus_day.0016.ec.fits: ap = 79, w1 = 4374.684, w2 = 4282.447, dw = -0.0559, nw = 1651 Venus_day.0016.ec.fits: ap = 80, w1 = 4341.552, w2 = 4250.014, dw = -0.05548, nw = 1651 Venus_day.0016.ec.fits: ap = 81, w1 = 4308.918, w2 = 4218.069, dw = -0.05506, nw = 1651 Venus_day.0016.ec.fits: ap = 82, w1 = 4276.772, w2 = 4186.601, dw = -0.05465, nw = 1651 Venus_day.0016.ec.fits: ap = 83, w1 = 4245.102, w2 = 4155.599, dw = -0.05424, nw = 1651 Venus_day.0016.ec.fits: ap = 84, w1 = 4213.898, w2 = 4125.053, dw = -0.05385, nw = 1651 Venus_day.0016.ec.fits: ap = 85, w1 = 4183.149, w2 = 4094.953, dw = -0.05345, nw = 1651 Venus_day.0016.ec.fits: ap = 86, w1 = 4152.847, w2 = 4065.289, dw = -0.05306, nw = 1651 Venus_day.0016.ec.fits: ap = 87, w1 = 4122.98, w2 = 4036.053, dw = -0.05268, nw = 1651 Venus_day.0016.ec.fits: ap = 88, w1 = 4093.541, w2 = 4007.234, dw = -0.05231, nw = 1651 Venus_day.0016.ec.fits: ap = 89, w1 = 4064.519, w2 = 3978.824, dw = -0.05194, nw = 1651 Venus_day.0016.ec.fits: ap = 90, w1 = 4035.906, w2 = 3950.814, dw = -0.05157, nw = 1651 Venus_day.0016.ec.fits: ap = 91, w1 = 4007.694, w2 = 3923.196, dw = -0.05121, nw = 1651 Venus_day.0016.ec.fits: ap = 92, w1 = 3979.874, w2 = 3895.962, dw = -0.05086, nw = 1651 Venus_day.0016.ec.fits: ap = 93, w1 = 3952.437, w2 = 3869.104, dw = -0.05051, nw = 1651 Venus_day.0016.ec.fits: ap = 94, w1 = 3925.377, w2 = 3842.613, dw = -0.05016, nw = 1651 Venus_day.0016.ec.fits: ap = 95, w1 = 3898.685, w2 = 3816.483, dw = -0.04982, nw = 1651 Venus_day.0016.ec.fits: ap = 96, w1 = 3872.354, w2 = 3790.706, dw = -0.04948, nw = 1651 Venus_day.0016.ec.fits: ap = 97, w1 = 3846.377, w2 = 3765.276, dw = -0.04915, nw = 1651 Venus_day.0016.ec.fits: ap = 98, w1 = 3820.747, w2 = 3740.184, dw = -0.04883, nw = 1651 Venus_day.0016.ec.fits: ap = 99, w1 = 3795.456, w2 = 3715.425, dw = -0.0485, nw = 1651 Venus_day.0016.ec.fits: ap = 100, w1 = 3770.498, w2 = 3690.992, dw = -0.04819, nw = 1651 Venus_day.0016.ec.fits: ap = 101, w1 = 3745.867, w2 = 3666.878, dw = -0.04787, nw = 1651 Venus_day.0016.ec.fits: ap = 102, w1 = 3721.555, w2 = 3643.077, dw = -0.04756, nw = 1651 Venus_day.0016.ec.fits: ap = 103, w1 = 3697.558, w2 = 3619.584, dw = -0.04726, nw = 1651 Venus_day.0016.ec.fits: ap = 104, w1 = 3673.869, w2 = 3596.392, dw = -0.04696, nw = 1651 Venus_day.0016.ec.fits: ap = 105, w1 = 3650.482, w2 = 3573.495, dw = -0.04666, nw = 1651 Venus_day.0016.ec.fits: ap = 106, w1 = 3627.391, w2 = 3550.888, dw = -0.04636, nw = 1651 Venus_day.0016.ec.fits: ap = 107, w1 = 3604.59, w2 = 3528.566, dw = -0.04608, nw = 1651 Venus_day.0016.ec.fits: ap = 108, w1 = 3582.076, w2 = 3506.523, dw = -0.04579, nw = 1651 Venus_day.0016.ec.fits: ap = 109, w1 = 3559.841, w2 = 3484.754, dw = -0.04551, nw = 1651 Venus_day.0016.ec.fits: ap = 110, w1 = 3537.88, w2 = 3463.253, dw = -0.04523, nw = 1651 Venus_day.0016.ec.fits: ap = 111, w1 = 3516.19, w2 = 3442.017, dw = -0.04495, nw = 1651 Venus_day.0016.ec.fits: ap = 112, w1 = 3494.765, w2 = 3421.039, dw = -0.04468, nw = 1651 Venus_day.0016.ec.fits: ap = 113, w1 = 3473.599, w2 = 3400.316, dw = -0.04441, nw = 1651 Venus_day.0016.ec.fits: ap = 114, w1 = 3452.689, w2 = 3379.843, dw = -0.04415, nw = 1651 Venus_day.0016.ec.fits: ap = 115, w1 = 3432.029, w2 = 3359.615, dw = -0.04389, nw = 1651 Venus_day.0017.ec.fits: REFSPEC1 = 'ThAr.0023.ec 1.' Venus_day.0017.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.46, dw = -0.1383, nw = 1651 Venus_day.0017.ec.fits: ap = 2, w1 = 10611.46, w2 = 10387.49, dw = -0.13574, nw = 1651 Venus_day.0017.ec.fits: ap = 3, w1 = 10418.54, w2 = 10198.64, dw = -0.13327, nw = 1651 Venus_day.0017.ec.fits: ap = 4, w1 = 10232.51, w2 = 10016.54, dw = -0.13089, nw = 1651 Venus_day.0017.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.829, dw = -0.12859, nw = 1651 Venus_day.0017.ec.fits: ap = 6, w1 = 9879.694, w2 = 9671.176, dw = -0.12637, nw = 1651 Venus_day.0017.ec.fits: ap = 7, w1 = 9712.255, w2 = 9507.273, dw = -0.12423, nw = 1651 Venus_day.0017.ec.fits: ap = 8, w1 = 9550.397, w2 = 9348.834, dw = -0.12216, nw = 1651 Venus_day.0017.ec.fits: ap = 9, w1 = 9393.846, w2 = 9195.589, dw = -0.12016, nw = 1651 Venus_day.0017.ec.fits: ap = 10, w1 = 9242.345, w2 = 9047.287, dw = -0.11822, nw = 1651 Venus_day.0017.ec.fits: ap = 11, w1 = 9095.654, w2 = 8903.694, dw = -0.11634, nw = 1651 Venus_day.0017.ec.fits: ap = 12, w1 = 8953.546, w2 = 8764.587, dw = -0.11452, nw = 1651 Venus_day.0017.ec.fits: ap = 13, w1 = 8815.811, w2 = 8629.761, dw = -0.11276, nw = 1651 Venus_day.0017.ec.fits: ap = 14, w1 = 8682.25, w2 = 8499.021, dw = -0.11105, nw = 1651 Venus_day.0017.ec.fits: ap = 15, w1 = 8552.676, w2 = 8372.183, dw = -0.10939, nw = 1651 Venus_day.0017.ec.fits: ap = 16, w1 = 8426.912, w2 = 8249.075, dw = -0.10778, nw = 1651 Venus_day.0017.ec.fits: ap = 17, w1 = 8304.794, w2 = 8129.536, dw = -0.10622, nw = 1651 Venus_day.0017.ec.fits: ap = 18, w1 = 8186.165, w2 = 8013.412, dw = -0.1047, nw = 1651 Venus_day.0017.ec.fits: ap = 19, w1 = 8070.877, w2 = 7900.559, dw = -0.10322, nw = 1651 Venus_day.0017.ec.fits: ap = 20, w1 = 7958.792, w2 = 7790.841, dw = -0.10179, nw = 1651 Venus_day.0017.ec.fits: ap = 21, w1 = 7849.778, w2 = 7684.129, dw = -0.10039, nw = 1651 Venus_day.0017.ec.fits: ap = 22, w1 = 7743.71, w2 = 7580.301, dw = -0.09904, nw = 1651 Venus_day.0017.ec.fits: ap = 23, w1 = 7640.47, w2 = 7479.242, dw = -0.09771, nw = 1651 Venus_day.0017.ec.fits: ap = 24, w1 = 7539.947, w2 = 7380.842, dw = -0.09643, nw = 1651 Venus_day.0017.ec.fits: ap = 25, w1 = 7442.036, w2 = 7284.998, dw = -0.09517, nw = 1651 Venus_day.0017.ec.fits: ap = 26, w1 = 7346.634, w2 = 7191.612, dw = -0.09395, nw = 1651 Venus_day.0017.ec.fits: ap = 27, w1 = 7253.648, w2 = 7100.59, dw = -0.09276, nw = 1651 Venus_day.0017.ec.fits: ap = 28, w1 = 7162.987, w2 = 7011.843, dw = -0.0916, nw = 1651 Venus_day.0017.ec.fits: ap = 29, w1 = 7074.564, w2 = 6925.288, dw = -0.09047, nw = 1651 Venus_day.0017.ec.fits: ap = 30, w1 = 6988.298, w2 = 6840.844, dw = -0.08937, nw = 1651 Venus_day.0017.ec.fits: ap = 31, w1 = 6904.11, w2 = 6758.434, dw = -0.08829, nw = 1651 Venus_day.0017.ec.fits: ap = 32, w1 = 6821.927, w2 = 6677.987, dw = -0.08724, nw = 1651 Venus_day.0017.ec.fits: ap = 33, w1 = 6741.678, w2 = 6599.433, dw = -0.08621, nw = 1651 Venus_day.0017.ec.fits: ap = 34, w1 = 6663.295, w2 = 6522.706, dw = -0.08521, nw = 1651 Venus_day.0017.ec.fits: ap = 35, w1 = 6586.713, w2 = 6447.742, dw = -0.08423, nw = 1651 Venus_day.0017.ec.fits: ap = 36, w1 = 6511.873, w2 = 6374.482, dw = -0.08327, nw = 1651 Venus_day.0017.ec.fits: ap = 37, w1 = 6438.714, w2 = 6302.869, dw = -0.08233, nw = 1651 Venus_day.0017.ec.fits: ap = 38, w1 = 6367.181, w2 = 6232.847, dw = -0.08141, nw = 1651 Venus_day.0017.ec.fits: ap = 39, w1 = 6297.22, w2 = 6164.364, dw = -0.08052, nw = 1651 Venus_day.0017.ec.fits: ap = 40, w1 = 6228.78, w2 = 6097.37, dw = -0.07964, nw = 1651 Venus_day.0017.ec.fits: ap = 41, w1 = 6161.812, w2 = 6031.817, dw = -0.07878, nw = 1651 Venus_day.0017.ec.fits: ap = 42, w1 = 6096.269, w2 = 5967.659, dw = -0.07795, nw = 1651 Venus_day.0017.ec.fits: ap = 43, w1 = 6032.105, w2 = 5904.851, dw = -0.07712, nw = 1651 Venus_day.0017.ec.fits: ap = 44, w1 = 5969.279, w2 = 5843.352, dw = -0.07632, nw = 1651 Venus_day.0017.ec.fits: ap = 45, w1 = 5907.748, w2 = 5783.121, dw = -0.07553, nw = 1651 Venus_day.0017.ec.fits: ap = 46, w1 = 5847.473, w2 = 5724.119, dw = -0.07476, nw = 1651 Venus_day.0017.ec.fits: ap = 47, w1 = 5788.415, w2 = 5666.309, dw = -0.074, nw = 1651 Venus_day.0017.ec.fits: ap = 48, w1 = 5730.539, w2 = 5609.656, dw = -0.07326, nw = 1651 Venus_day.0017.ec.fits: ap = 49, w1 = 5673.808, w2 = 5554.124, dw = -0.07254, nw = 1651 Venus_day.0017.ec.fits: ap = 50, w1 = 5618.191, w2 = 5499.682, dw = -0.07182, nw = 1651 Venus_day.0017.ec.fits: ap = 51, w1 = 5563.653, w2 = 5446.296, dw = -0.07113, nw = 1651 Venus_day.0017.ec.fits: ap = 52, w1 = 5510.164, w2 = 5393.938, dw = -0.07044, nw = 1651 Venus_day.0017.ec.fits: ap = 53, w1 = 5457.694, w2 = 5342.577, dw = -0.06977, nw = 1651 Venus_day.0017.ec.fits: ap = 54, w1 = 5406.214, w2 = 5292.184, dw = -0.06911, nw = 1651 Venus_day.0017.ec.fits: ap = 55, w1 = 5355.697, w2 = 5242.734, dw = -0.06846, nw = 1651 Venus_day.0017.ec.fits: ap = 56, w1 = 5306.115, w2 = 5194.2, dw = -0.06783, nw = 1651 Venus_day.0017.ec.fits: ap = 57, w1 = 5257.442, w2 = 5146.557, dw = -0.0672, nw = 1651 Venus_day.0017.ec.fits: ap = 58, w1 = 5209.655, w2 = 5099.779, dw = -0.06659, nw = 1651 Venus_day.0017.ec.fits: ap = 59, w1 = 5162.729, w2 = 5053.845, dw = -0.06599, nw = 1651 Venus_day.0017.ec.fits: ap = 60, w1 = 5116.642, w2 = 5008.731, dw = -0.0654, nw = 1651 Venus_day.0017.ec.fits: ap = 61, w1 = 5071.369, w2 = 4964.416, dw = -0.06482, nw = 1651 Venus_day.0017.ec.fits: ap = 62, w1 = 5026.892, w2 = 4920.878, dw = -0.06425, nw = 1651 Venus_day.0017.ec.fits: ap = 63, w1 = 4983.188, w2 = 4878.097, dw = -0.06369, nw = 1651 Venus_day.0017.ec.fits: ap = 64, w1 = 4940.237, w2 = 4836.054, dw = -0.06314, nw = 1651 Venus_day.0017.ec.fits: ap = 65, w1 = 4898.021, w2 = 4794.73, dw = -0.0626, nw = 1651 Venus_day.0017.ec.fits: ap = 66, w1 = 4856.521, w2 = 4754.106, dw = -0.06207, nw = 1651 Venus_day.0017.ec.fits: ap = 67, w1 = 4815.718, w2 = 4714.166, dw = -0.06155, nw = 1651 Venus_day.0017.ec.fits: ap = 68, w1 = 4775.595, w2 = 4674.891, dw = -0.06103, nw = 1651 Venus_day.0017.ec.fits: ap = 69, w1 = 4736.136, w2 = 4636.265, dw = -0.06053, nw = 1651 Venus_day.0017.ec.fits: ap = 70, w1 = 4697.324, w2 = 4598.272, dw = -0.06003, nw = 1651 Venus_day.0017.ec.fits: ap = 71, w1 = 4659.142, w2 = 4560.898, dw = -0.05954, nw = 1651 Venus_day.0017.ec.fits: ap = 72, w1 = 4621.577, w2 = 4524.126, dw = -0.05906, nw = 1651 Venus_day.0017.ec.fits: ap = 73, w1 = 4584.613, w2 = 4487.943, dw = -0.05859, nw = 1651 Venus_day.0017.ec.fits: ap = 74, w1 = 4548.236, w2 = 4452.334, dw = -0.05812, nw = 1651 Venus_day.0017.ec.fits: ap = 75, w1 = 4512.432, w2 = 4417.286, dw = -0.05766, nw = 1651 Venus_day.0017.ec.fits: ap = 76, w1 = 4477.188, w2 = 4382.786, dw = -0.05721, nw = 1651 Venus_day.0017.ec.fits: ap = 77, w1 = 4442.49, w2 = 4348.821, dw = -0.05677, nw = 1651 Venus_day.0017.ec.fits: ap = 78, w1 = 4408.326, w2 = 4315.378, dw = -0.05633, nw = 1651 Venus_day.0017.ec.fits: ap = 79, w1 = 4374.684, w2 = 4282.447, dw = -0.0559, nw = 1651 Venus_day.0017.ec.fits: ap = 80, w1 = 4341.552, w2 = 4250.014, dw = -0.05548, nw = 1651 Venus_day.0017.ec.fits: ap = 81, w1 = 4308.918, w2 = 4218.069, dw = -0.05506, nw = 1651 Venus_day.0017.ec.fits: ap = 82, w1 = 4276.772, w2 = 4186.601, dw = -0.05465, nw = 1651 Venus_day.0017.ec.fits: ap = 83, w1 = 4245.102, w2 = 4155.599, dw = -0.05424, nw = 1651 Venus_day.0017.ec.fits: ap = 84, w1 = 4213.898, w2 = 4125.053, dw = -0.05385, nw = 1651 Venus_day.0017.ec.fits: ap = 85, w1 = 4183.149, w2 = 4094.953, dw = -0.05345, nw = 1651 Venus_day.0017.ec.fits: ap = 86, w1 = 4152.847, w2 = 4065.289, dw = -0.05306, nw = 1651 Venus_day.0017.ec.fits: ap = 87, w1 = 4122.98, w2 = 4036.053, dw = -0.05268, nw = 1651 Venus_day.0017.ec.fits: ap = 88, w1 = 4093.541, w2 = 4007.234, dw = -0.05231, nw = 1651 Venus_day.0017.ec.fits: ap = 89, w1 = 4064.519, w2 = 3978.824, dw = -0.05194, nw = 1651 Venus_day.0017.ec.fits: ap = 90, w1 = 4035.906, w2 = 3950.814, dw = -0.05157, nw = 1651 Venus_day.0017.ec.fits: ap = 91, w1 = 4007.694, w2 = 3923.196, dw = -0.05121, nw = 1651 Venus_day.0017.ec.fits: ap = 92, w1 = 3979.874, w2 = 3895.962, dw = -0.05086, nw = 1651 Venus_day.0017.ec.fits: ap = 93, w1 = 3952.437, w2 = 3869.104, dw = -0.05051, nw = 1651 Venus_day.0017.ec.fits: ap = 94, w1 = 3925.377, w2 = 3842.613, dw = -0.05016, nw = 1651 Venus_day.0017.ec.fits: ap = 95, w1 = 3898.685, w2 = 3816.483, dw = -0.04982, nw = 1651 Venus_day.0017.ec.fits: ap = 96, w1 = 3872.354, w2 = 3790.706, dw = -0.04948, nw = 1651 Venus_day.0017.ec.fits: ap = 97, w1 = 3846.377, w2 = 3765.276, dw = -0.04915, nw = 1651 Venus_day.0017.ec.fits: ap = 98, w1 = 3820.747, w2 = 3740.184, dw = -0.04883, nw = 1651 Venus_day.0017.ec.fits: ap = 99, w1 = 3795.456, w2 = 3715.425, dw = -0.0485, nw = 1651 Venus_day.0017.ec.fits: ap = 100, w1 = 3770.498, w2 = 3690.992, dw = -0.04819, nw = 1651 Venus_day.0017.ec.fits: ap = 101, w1 = 3745.867, w2 = 3666.878, dw = -0.04787, nw = 1651 Venus_day.0017.ec.fits: ap = 102, w1 = 3721.555, w2 = 3643.077, dw = -0.04756, nw = 1651 Venus_day.0017.ec.fits: ap = 103, w1 = 3697.558, w2 = 3619.584, dw = -0.04726, nw = 1651 Venus_day.0017.ec.fits: ap = 104, w1 = 3673.869, w2 = 3596.392, dw = -0.04696, nw = 1651 Venus_day.0017.ec.fits: ap = 105, w1 = 3650.482, w2 = 3573.495, dw = -0.04666, nw = 1651 Venus_day.0017.ec.fits: ap = 106, w1 = 3627.391, w2 = 3550.888, dw = -0.04636, nw = 1651 Venus_day.0017.ec.fits: ap = 107, w1 = 3604.59, w2 = 3528.566, dw = -0.04608, nw = 1651 Venus_day.0017.ec.fits: ap = 108, w1 = 3582.076, w2 = 3506.523, dw = -0.04579, nw = 1651 Venus_day.0017.ec.fits: ap = 109, w1 = 3559.841, w2 = 3484.754, dw = -0.04551, nw = 1651 Venus_day.0017.ec.fits: ap = 110, w1 = 3537.88, w2 = 3463.253, dw = -0.04523, nw = 1651 Venus_day.0017.ec.fits: ap = 111, w1 = 3516.19, w2 = 3442.017, dw = -0.04495, nw = 1651 Venus_day.0017.ec.fits: ap = 112, w1 = 3494.765, w2 = 3421.039, dw = -0.04468, nw = 1651 Venus_day.0017.ec.fits: ap = 113, w1 = 3473.599, w2 = 3400.316, dw = -0.04441, nw = 1651 Venus_day.0017.ec.fits: ap = 114, w1 = 3452.689, w2 = 3379.843, dw = -0.04415, nw = 1651 Venus_day.0017.ec.fits: ap = 115, w1 = 3432.029, w2 = 3359.615, dw = -0.04389, nw = 1651 Venus_day.0021.ec.fits: REFSPEC1 = 'ThAr.0023.ec 1.' Venus_day.0021.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.46, dw = -0.1383, nw = 1651 Venus_day.0021.ec.fits: ap = 2, w1 = 10611.46, w2 = 10387.49, dw = -0.13574, nw = 1651 Venus_day.0021.ec.fits: ap = 3, w1 = 10418.54, w2 = 10198.64, dw = -0.13327, nw = 1651 Venus_day.0021.ec.fits: ap = 4, w1 = 10232.51, w2 = 10016.54, dw = -0.13089, nw = 1651 Venus_day.0021.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.829, dw = -0.12859, nw = 1651 Venus_day.0021.ec.fits: ap = 6, w1 = 9879.694, w2 = 9671.176, dw = -0.12637, nw = 1651 Venus_day.0021.ec.fits: ap = 7, w1 = 9712.255, w2 = 9507.273, dw = -0.12423, nw = 1651 Venus_day.0021.ec.fits: ap = 8, w1 = 9550.397, w2 = 9348.834, dw = -0.12216, nw = 1651 Venus_day.0021.ec.fits: ap = 9, w1 = 9393.846, w2 = 9195.589, dw = -0.12016, nw = 1651 Venus_day.0021.ec.fits: ap = 10, w1 = 9242.345, w2 = 9047.287, dw = -0.11822, nw = 1651 Venus_day.0021.ec.fits: ap = 11, w1 = 9095.654, w2 = 8903.694, dw = -0.11634, nw = 1651 Venus_day.0021.ec.fits: ap = 12, w1 = 8953.546, w2 = 8764.587, dw = -0.11452, nw = 1651 Venus_day.0021.ec.fits: ap = 13, w1 = 8815.811, w2 = 8629.761, dw = -0.11276, nw = 1651 Venus_day.0021.ec.fits: ap = 14, w1 = 8682.25, w2 = 8499.021, dw = -0.11105, nw = 1651 Venus_day.0021.ec.fits: ap = 15, w1 = 8552.676, w2 = 8372.183, dw = -0.10939, nw = 1651 Venus_day.0021.ec.fits: ap = 16, w1 = 8426.912, w2 = 8249.075, dw = -0.10778, nw = 1651 Venus_day.0021.ec.fits: ap = 17, w1 = 8304.794, w2 = 8129.536, dw = -0.10622, nw = 1651 Venus_day.0021.ec.fits: ap = 18, w1 = 8186.165, w2 = 8013.412, dw = -0.1047, nw = 1651 Venus_day.0021.ec.fits: ap = 19, w1 = 8070.877, w2 = 7900.559, dw = -0.10322, nw = 1651 Venus_day.0021.ec.fits: ap = 20, w1 = 7958.792, w2 = 7790.841, dw = -0.10179, nw = 1651 Venus_day.0021.ec.fits: ap = 21, w1 = 7849.778, w2 = 7684.129, dw = -0.10039, nw = 1651 Venus_day.0021.ec.fits: ap = 22, w1 = 7743.71, w2 = 7580.301, dw = -0.09904, nw = 1651 Venus_day.0021.ec.fits: ap = 23, w1 = 7640.47, w2 = 7479.242, dw = -0.09771, nw = 1651 Venus_day.0021.ec.fits: ap = 24, w1 = 7539.947, w2 = 7380.842, dw = -0.09643, nw = 1651 Venus_day.0021.ec.fits: ap = 25, w1 = 7442.036, w2 = 7284.998, dw = -0.09517, nw = 1651 Venus_day.0021.ec.fits: ap = 26, w1 = 7346.634, w2 = 7191.612, dw = -0.09395, nw = 1651 Venus_day.0021.ec.fits: ap = 27, w1 = 7253.648, w2 = 7100.59, dw = -0.09276, nw = 1651 Venus_day.0021.ec.fits: ap = 28, w1 = 7162.987, w2 = 7011.843, dw = -0.0916, nw = 1651 Venus_day.0021.ec.fits: ap = 29, w1 = 7074.564, w2 = 6925.288, dw = -0.09047, nw = 1651 Venus_day.0021.ec.fits: ap = 30, w1 = 6988.298, w2 = 6840.844, dw = -0.08937, nw = 1651 Venus_day.0021.ec.fits: ap = 31, w1 = 6904.11, w2 = 6758.434, dw = -0.08829, nw = 1651 Venus_day.0021.ec.fits: ap = 32, w1 = 6821.927, w2 = 6677.987, dw = -0.08724, nw = 1651 Venus_day.0021.ec.fits: ap = 33, w1 = 6741.678, w2 = 6599.433, dw = -0.08621, nw = 1651 Venus_day.0021.ec.fits: ap = 34, w1 = 6663.295, w2 = 6522.706, dw = -0.08521, nw = 1651 Venus_day.0021.ec.fits: ap = 35, w1 = 6586.713, w2 = 6447.742, dw = -0.08423, nw = 1651 Venus_day.0021.ec.fits: ap = 36, w1 = 6511.873, w2 = 6374.482, dw = -0.08327, nw = 1651 Venus_day.0021.ec.fits: ap = 37, w1 = 6438.714, w2 = 6302.869, dw = -0.08233, nw = 1651 Venus_day.0021.ec.fits: ap = 38, w1 = 6367.181, w2 = 6232.847, dw = -0.08141, nw = 1651 Venus_day.0021.ec.fits: ap = 39, w1 = 6297.22, w2 = 6164.364, dw = -0.08052, nw = 1651 Venus_day.0021.ec.fits: ap = 40, w1 = 6228.78, w2 = 6097.37, dw = -0.07964, nw = 1651 Venus_day.0021.ec.fits: ap = 41, w1 = 6161.812, w2 = 6031.817, dw = -0.07878, nw = 1651 Venus_day.0021.ec.fits: ap = 42, w1 = 6096.269, w2 = 5967.659, dw = -0.07795, nw = 1651 Venus_day.0021.ec.fits: ap = 43, w1 = 6032.105, w2 = 5904.851, dw = -0.07712, nw = 1651 Venus_day.0021.ec.fits: ap = 44, w1 = 5969.279, w2 = 5843.352, dw = -0.07632, nw = 1651 Venus_day.0021.ec.fits: ap = 45, w1 = 5907.748, w2 = 5783.121, dw = -0.07553, nw = 1651 Venus_day.0021.ec.fits: ap = 46, w1 = 5847.473, w2 = 5724.119, dw = -0.07476, nw = 1651 Venus_day.0021.ec.fits: ap = 47, w1 = 5788.415, w2 = 5666.309, dw = -0.074, nw = 1651 Venus_day.0021.ec.fits: ap = 48, w1 = 5730.539, w2 = 5609.656, dw = -0.07326, nw = 1651 Venus_day.0021.ec.fits: ap = 49, w1 = 5673.808, w2 = 5554.124, dw = -0.07254, nw = 1651 Venus_day.0021.ec.fits: ap = 50, w1 = 5618.191, w2 = 5499.682, dw = -0.07182, nw = 1651 Venus_day.0021.ec.fits: ap = 51, w1 = 5563.653, w2 = 5446.296, dw = -0.07113, nw = 1651 Venus_day.0021.ec.fits: ap = 52, w1 = 5510.164, w2 = 5393.938, dw = -0.07044, nw = 1651 Venus_day.0021.ec.fits: ap = 53, w1 = 5457.694, w2 = 5342.577, dw = -0.06977, nw = 1651 Venus_day.0021.ec.fits: ap = 54, w1 = 5406.214, w2 = 5292.184, dw = -0.06911, nw = 1651 Venus_day.0021.ec.fits: ap = 55, w1 = 5355.697, w2 = 5242.734, dw = -0.06846, nw = 1651 Venus_day.0021.ec.fits: ap = 56, w1 = 5306.115, w2 = 5194.2, dw = -0.06783, nw = 1651 Venus_day.0021.ec.fits: ap = 57, w1 = 5257.442, w2 = 5146.557, dw = -0.0672, nw = 1651 Venus_day.0021.ec.fits: ap = 58, w1 = 5209.655, w2 = 5099.779, dw = -0.06659, nw = 1651 Venus_day.0021.ec.fits: ap = 59, w1 = 5162.729, w2 = 5053.845, dw = -0.06599, nw = 1651 Venus_day.0021.ec.fits: ap = 60, w1 = 5116.642, w2 = 5008.731, dw = -0.0654, nw = 1651 Venus_day.0021.ec.fits: ap = 61, w1 = 5071.369, w2 = 4964.416, dw = -0.06482, nw = 1651 Venus_day.0021.ec.fits: ap = 62, w1 = 5026.892, w2 = 4920.878, dw = -0.06425, nw = 1651 Venus_day.0021.ec.fits: ap = 63, w1 = 4983.188, w2 = 4878.097, dw = -0.06369, nw = 1651 Venus_day.0021.ec.fits: ap = 64, w1 = 4940.237, w2 = 4836.054, dw = -0.06314, nw = 1651 Venus_day.0021.ec.fits: ap = 65, w1 = 4898.021, w2 = 4794.73, dw = -0.0626, nw = 1651 Venus_day.0021.ec.fits: ap = 66, w1 = 4856.521, w2 = 4754.106, dw = -0.06207, nw = 1651 Venus_day.0021.ec.fits: ap = 67, w1 = 4815.718, w2 = 4714.166, dw = -0.06155, nw = 1651 Venus_day.0021.ec.fits: ap = 68, w1 = 4775.595, w2 = 4674.891, dw = -0.06103, nw = 1651 Venus_day.0021.ec.fits: ap = 69, w1 = 4736.136, w2 = 4636.265, dw = -0.06053, nw = 1651 Venus_day.0021.ec.fits: ap = 70, w1 = 4697.324, w2 = 4598.272, dw = -0.06003, nw = 1651 Venus_day.0021.ec.fits: ap = 71, w1 = 4659.142, w2 = 4560.898, dw = -0.05954, nw = 1651 Venus_day.0021.ec.fits: ap = 72, w1 = 4621.577, w2 = 4524.126, dw = -0.05906, nw = 1651 Venus_day.0021.ec.fits: ap = 73, w1 = 4584.613, w2 = 4487.943, dw = -0.05859, nw = 1651 Venus_day.0021.ec.fits: ap = 74, w1 = 4548.236, w2 = 4452.334, dw = -0.05812, nw = 1651 Venus_day.0021.ec.fits: ap = 75, w1 = 4512.432, w2 = 4417.286, dw = -0.05766, nw = 1651 Venus_day.0021.ec.fits: ap = 76, w1 = 4477.188, w2 = 4382.786, dw = -0.05721, nw = 1651 Venus_day.0021.ec.fits: ap = 77, w1 = 4442.49, w2 = 4348.821, dw = -0.05677, nw = 1651 Venus_day.0021.ec.fits: ap = 78, w1 = 4408.326, w2 = 4315.378, dw = -0.05633, nw = 1651 Venus_day.0021.ec.fits: ap = 79, w1 = 4374.684, w2 = 4282.447, dw = -0.0559, nw = 1651 Venus_day.0021.ec.fits: ap = 80, w1 = 4341.552, w2 = 4250.014, dw = -0.05548, nw = 1651 Venus_day.0021.ec.fits: ap = 81, w1 = 4308.918, w2 = 4218.069, dw = -0.05506, nw = 1651 Venus_day.0021.ec.fits: ap = 82, w1 = 4276.772, w2 = 4186.601, dw = -0.05465, nw = 1651 Venus_day.0021.ec.fits: ap = 83, w1 = 4245.102, w2 = 4155.599, dw = -0.05424, nw = 1651 Venus_day.0021.ec.fits: ap = 84, w1 = 4213.898, w2 = 4125.053, dw = -0.05385, nw = 1651 Venus_day.0021.ec.fits: ap = 85, w1 = 4183.149, w2 = 4094.953, dw = -0.05345, nw = 1651 Venus_day.0021.ec.fits: ap = 86, w1 = 4152.847, w2 = 4065.289, dw = -0.05306, nw = 1651 Venus_day.0021.ec.fits: ap = 87, w1 = 4122.98, w2 = 4036.053, dw = -0.05268, nw = 1651 Venus_day.0021.ec.fits: ap = 88, w1 = 4093.541, w2 = 4007.234, dw = -0.05231, nw = 1651 Venus_day.0021.ec.fits: ap = 89, w1 = 4064.519, w2 = 3978.824, dw = -0.05194, nw = 1651 Venus_day.0021.ec.fits: ap = 90, w1 = 4035.906, w2 = 3950.814, dw = -0.05157, nw = 1651 Venus_day.0021.ec.fits: ap = 91, w1 = 4007.694, w2 = 3923.196, dw = -0.05121, nw = 1651 Venus_day.0021.ec.fits: ap = 92, w1 = 3979.874, w2 = 3895.962, dw = -0.05086, nw = 1651 Venus_day.0021.ec.fits: ap = 93, w1 = 3952.437, w2 = 3869.104, dw = -0.05051, nw = 1651 Venus_day.0021.ec.fits: ap = 94, w1 = 3925.377, w2 = 3842.613, dw = -0.05016, nw = 1651 Venus_day.0021.ec.fits: ap = 95, w1 = 3898.685, w2 = 3816.483, dw = -0.04982, nw = 1651 Venus_day.0021.ec.fits: ap = 96, w1 = 3872.354, w2 = 3790.706, dw = -0.04948, nw = 1651 Venus_day.0021.ec.fits: ap = 97, w1 = 3846.377, w2 = 3765.276, dw = -0.04915, nw = 1651 Venus_day.0021.ec.fits: ap = 98, w1 = 3820.747, w2 = 3740.184, dw = -0.04883, nw = 1651 Venus_day.0021.ec.fits: ap = 99, w1 = 3795.456, w2 = 3715.425, dw = -0.0485, nw = 1651 Venus_day.0021.ec.fits: ap = 100, w1 = 3770.498, w2 = 3690.992, dw = -0.04819, nw = 1651 Venus_day.0021.ec.fits: ap = 101, w1 = 3745.867, w2 = 3666.878, dw = -0.04787, nw = 1651 Venus_day.0021.ec.fits: ap = 102, w1 = 3721.555, w2 = 3643.077, dw = -0.04756, nw = 1651 Venus_day.0021.ec.fits: ap = 103, w1 = 3697.558, w2 = 3619.584, dw = -0.04726, nw = 1651 Venus_day.0021.ec.fits: ap = 104, w1 = 3673.869, w2 = 3596.392, dw = -0.04696, nw = 1651 Venus_day.0021.ec.fits: ap = 105, w1 = 3650.482, w2 = 3573.495, dw = -0.04666, nw = 1651 Venus_day.0021.ec.fits: ap = 106, w1 = 3627.391, w2 = 3550.888, dw = -0.04636, nw = 1651 Venus_day.0021.ec.fits: ap = 107, w1 = 3604.59, w2 = 3528.566, dw = -0.04608, nw = 1651 Venus_day.0021.ec.fits: ap = 108, w1 = 3582.076, w2 = 3506.523, dw = -0.04579, nw = 1651 Venus_day.0021.ec.fits: ap = 109, w1 = 3559.841, w2 = 3484.754, dw = -0.04551, nw = 1651 Venus_day.0021.ec.fits: ap = 110, w1 = 3537.88, w2 = 3463.253, dw = -0.04523, nw = 1651 Venus_day.0021.ec.fits: ap = 111, w1 = 3516.19, w2 = 3442.017, dw = -0.04495, nw = 1651 Venus_day.0021.ec.fits: ap = 112, w1 = 3494.765, w2 = 3421.039, dw = -0.04468, nw = 1651 Venus_day.0021.ec.fits: ap = 113, w1 = 3473.599, w2 = 3400.316, dw = -0.04441, nw = 1651 Venus_day.0021.ec.fits: ap = 114, w1 = 3452.689, w2 = 3379.843, dw = -0.04415, nw = 1651 Venus_day.0021.ec.fits: ap = 115, w1 = 3432.029, w2 = 3359.615, dw = -0.04389, nw = 1651 Venus_day.0022.ec.fits: REFSPEC1 = 'ThAr.0023.ec 1.' Venus_day.0022.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.46, dw = -0.1383, nw = 1651 Venus_day.0022.ec.fits: ap = 2, w1 = 10611.46, w2 = 10387.49, dw = -0.13574, nw = 1651 Venus_day.0022.ec.fits: ap = 3, w1 = 10418.54, w2 = 10198.64, dw = -0.13327, nw = 1651 Venus_day.0022.ec.fits: ap = 4, w1 = 10232.51, w2 = 10016.54, dw = -0.13089, nw = 1651 Venus_day.0022.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.829, dw = -0.12859, nw = 1651 Venus_day.0022.ec.fits: ap = 6, w1 = 9879.694, w2 = 9671.176, dw = -0.12637, nw = 1651 Venus_day.0022.ec.fits: ap = 7, w1 = 9712.255, w2 = 9507.273, dw = -0.12423, nw = 1651 Venus_day.0022.ec.fits: ap = 8, w1 = 9550.397, w2 = 9348.834, dw = -0.12216, nw = 1651 Venus_day.0022.ec.fits: ap = 9, w1 = 9393.846, w2 = 9195.589, dw = -0.12016, nw = 1651 Venus_day.0022.ec.fits: ap = 10, w1 = 9242.345, w2 = 9047.287, dw = -0.11822, nw = 1651 Venus_day.0022.ec.fits: ap = 11, w1 = 9095.654, w2 = 8903.694, dw = -0.11634, nw = 1651 Venus_day.0022.ec.fits: ap = 12, w1 = 8953.546, w2 = 8764.587, dw = -0.11452, nw = 1651 Venus_day.0022.ec.fits: ap = 13, w1 = 8815.811, w2 = 8629.761, dw = -0.11276, nw = 1651 Venus_day.0022.ec.fits: ap = 14, w1 = 8682.25, w2 = 8499.021, dw = -0.11105, nw = 1651 Venus_day.0022.ec.fits: ap = 15, w1 = 8552.676, w2 = 8372.183, dw = -0.10939, nw = 1651 Venus_day.0022.ec.fits: ap = 16, w1 = 8426.912, w2 = 8249.075, dw = -0.10778, nw = 1651 Venus_day.0022.ec.fits: ap = 17, w1 = 8304.794, w2 = 8129.536, dw = -0.10622, nw = 1651 Venus_day.0022.ec.fits: ap = 18, w1 = 8186.165, w2 = 8013.412, dw = -0.1047, nw = 1651 Venus_day.0022.ec.fits: ap = 19, w1 = 8070.877, w2 = 7900.559, dw = -0.10322, nw = 1651 Venus_day.0022.ec.fits: ap = 20, w1 = 7958.792, w2 = 7790.841, dw = -0.10179, nw = 1651 Venus_day.0022.ec.fits: ap = 21, w1 = 7849.778, w2 = 7684.129, dw = -0.10039, nw = 1651 Venus_day.0022.ec.fits: ap = 22, w1 = 7743.71, w2 = 7580.301, dw = -0.09904, nw = 1651 Venus_day.0022.ec.fits: ap = 23, w1 = 7640.47, w2 = 7479.242, dw = -0.09771, nw = 1651 Venus_day.0022.ec.fits: ap = 24, w1 = 7539.947, w2 = 7380.842, dw = -0.09643, nw = 1651 Venus_day.0022.ec.fits: ap = 25, w1 = 7442.036, w2 = 7284.998, dw = -0.09517, nw = 1651 Venus_day.0022.ec.fits: ap = 26, w1 = 7346.634, w2 = 7191.612, dw = -0.09395, nw = 1651 Venus_day.0022.ec.fits: ap = 27, w1 = 7253.648, w2 = 7100.59, dw = -0.09276, nw = 1651 Venus_day.0022.ec.fits: ap = 28, w1 = 7162.987, w2 = 7011.843, dw = -0.0916, nw = 1651 Venus_day.0022.ec.fits: ap = 29, w1 = 7074.564, w2 = 6925.288, dw = -0.09047, nw = 1651 Venus_day.0022.ec.fits: ap = 30, w1 = 6988.298, w2 = 6840.844, dw = -0.08937, nw = 1651 Venus_day.0022.ec.fits: ap = 31, w1 = 6904.11, w2 = 6758.434, dw = -0.08829, nw = 1651 Venus_day.0022.ec.fits: ap = 32, w1 = 6821.927, w2 = 6677.987, dw = -0.08724, nw = 1651 Venus_day.0022.ec.fits: ap = 33, w1 = 6741.678, w2 = 6599.433, dw = -0.08621, nw = 1651 Venus_day.0022.ec.fits: ap = 34, w1 = 6663.295, w2 = 6522.706, dw = -0.08521, nw = 1651 Venus_day.0022.ec.fits: ap = 35, w1 = 6586.713, w2 = 6447.742, dw = -0.08423, nw = 1651 Venus_day.0022.ec.fits: ap = 36, w1 = 6511.873, w2 = 6374.482, dw = -0.08327, nw = 1651 Venus_day.0022.ec.fits: ap = 37, w1 = 6438.714, w2 = 6302.869, dw = -0.08233, nw = 1651 Venus_day.0022.ec.fits: ap = 38, w1 = 6367.181, w2 = 6232.847, dw = -0.08141, nw = 1651 Venus_day.0022.ec.fits: ap = 39, w1 = 6297.22, w2 = 6164.364, dw = -0.08052, nw = 1651 Venus_day.0022.ec.fits: ap = 40, w1 = 6228.78, w2 = 6097.37, dw = -0.07964, nw = 1651 Venus_day.0022.ec.fits: ap = 41, w1 = 6161.812, w2 = 6031.817, dw = -0.07878, nw = 1651 Venus_day.0022.ec.fits: ap = 42, w1 = 6096.269, w2 = 5967.659, dw = -0.07795, nw = 1651 Venus_day.0022.ec.fits: ap = 43, w1 = 6032.105, w2 = 5904.851, dw = -0.07712, nw = 1651 Venus_day.0022.ec.fits: ap = 44, w1 = 5969.279, w2 = 5843.352, dw = -0.07632, nw = 1651 Venus_day.0022.ec.fits: ap = 45, w1 = 5907.748, w2 = 5783.121, dw = -0.07553, nw = 1651 Venus_day.0022.ec.fits: ap = 46, w1 = 5847.473, w2 = 5724.119, dw = -0.07476, nw = 1651 Venus_day.0022.ec.fits: ap = 47, w1 = 5788.415, w2 = 5666.309, dw = -0.074, nw = 1651 Venus_day.0022.ec.fits: ap = 48, w1 = 5730.539, w2 = 5609.656, dw = -0.07326, nw = 1651 Venus_day.0022.ec.fits: ap = 49, w1 = 5673.808, w2 = 5554.124, dw = -0.07254, nw = 1651 Venus_day.0022.ec.fits: ap = 50, w1 = 5618.191, w2 = 5499.682, dw = -0.07182, nw = 1651 Venus_day.0022.ec.fits: ap = 51, w1 = 5563.653, w2 = 5446.296, dw = -0.07113, nw = 1651 Venus_day.0022.ec.fits: ap = 52, w1 = 5510.164, w2 = 5393.938, dw = -0.07044, nw = 1651 Venus_day.0022.ec.fits: ap = 53, w1 = 5457.694, w2 = 5342.577, dw = -0.06977, nw = 1651 Venus_day.0022.ec.fits: ap = 54, w1 = 5406.214, w2 = 5292.184, dw = -0.06911, nw = 1651 Venus_day.0022.ec.fits: ap = 55, w1 = 5355.697, w2 = 5242.734, dw = -0.06846, nw = 1651 Venus_day.0022.ec.fits: ap = 56, w1 = 5306.115, w2 = 5194.2, dw = -0.06783, nw = 1651 Venus_day.0022.ec.fits: ap = 57, w1 = 5257.442, w2 = 5146.557, dw = -0.0672, nw = 1651 Venus_day.0022.ec.fits: ap = 58, w1 = 5209.655, w2 = 5099.779, dw = -0.06659, nw = 1651 Venus_day.0022.ec.fits: ap = 59, w1 = 5162.729, w2 = 5053.845, dw = -0.06599, nw = 1651 Venus_day.0022.ec.fits: ap = 60, w1 = 5116.642, w2 = 5008.731, dw = -0.0654, nw = 1651 Venus_day.0022.ec.fits: ap = 61, w1 = 5071.369, w2 = 4964.416, dw = -0.06482, nw = 1651 Venus_day.0022.ec.fits: ap = 62, w1 = 5026.892, w2 = 4920.878, dw = -0.06425, nw = 1651 Venus_day.0022.ec.fits: ap = 63, w1 = 4983.188, w2 = 4878.097, dw = -0.06369, nw = 1651 Venus_day.0022.ec.fits: ap = 64, w1 = 4940.237, w2 = 4836.054, dw = -0.06314, nw = 1651 Venus_day.0022.ec.fits: ap = 65, w1 = 4898.021, w2 = 4794.73, dw = -0.0626, nw = 1651 Venus_day.0022.ec.fits: ap = 66, w1 = 4856.521, w2 = 4754.106, dw = -0.06207, nw = 1651 Venus_day.0022.ec.fits: ap = 67, w1 = 4815.718, w2 = 4714.166, dw = -0.06155, nw = 1651 Venus_day.0022.ec.fits: ap = 68, w1 = 4775.595, w2 = 4674.891, dw = -0.06103, nw = 1651 Venus_day.0022.ec.fits: ap = 69, w1 = 4736.136, w2 = 4636.265, dw = -0.06053, nw = 1651 Venus_day.0022.ec.fits: ap = 70, w1 = 4697.324, w2 = 4598.272, dw = -0.06003, nw = 1651 Venus_day.0022.ec.fits: ap = 71, w1 = 4659.142, w2 = 4560.898, dw = -0.05954, nw = 1651 Venus_day.0022.ec.fits: ap = 72, w1 = 4621.577, w2 = 4524.126, dw = -0.05906, nw = 1651 Venus_day.0022.ec.fits: ap = 73, w1 = 4584.613, w2 = 4487.943, dw = -0.05859, nw = 1651 Venus_day.0022.ec.fits: ap = 74, w1 = 4548.236, w2 = 4452.334, dw = -0.05812, nw = 1651 Venus_day.0022.ec.fits: ap = 75, w1 = 4512.432, w2 = 4417.286, dw = -0.05766, nw = 1651 Venus_day.0022.ec.fits: ap = 76, w1 = 4477.188, w2 = 4382.786, dw = -0.05721, nw = 1651 Venus_day.0022.ec.fits: ap = 77, w1 = 4442.49, w2 = 4348.821, dw = -0.05677, nw = 1651 Venus_day.0022.ec.fits: ap = 78, w1 = 4408.326, w2 = 4315.378, dw = -0.05633, nw = 1651 Venus_day.0022.ec.fits: ap = 79, w1 = 4374.684, w2 = 4282.447, dw = -0.0559, nw = 1651 Venus_day.0022.ec.fits: ap = 80, w1 = 4341.552, w2 = 4250.014, dw = -0.05548, nw = 1651 Venus_day.0022.ec.fits: ap = 81, w1 = 4308.918, w2 = 4218.069, dw = -0.05506, nw = 1651 Venus_day.0022.ec.fits: ap = 82, w1 = 4276.772, w2 = 4186.601, dw = -0.05465, nw = 1651 Venus_day.0022.ec.fits: ap = 83, w1 = 4245.102, w2 = 4155.599, dw = -0.05424, nw = 1651 Venus_day.0022.ec.fits: ap = 84, w1 = 4213.898, w2 = 4125.053, dw = -0.05385, nw = 1651 Venus_day.0022.ec.fits: ap = 85, w1 = 4183.149, w2 = 4094.953, dw = -0.05345, nw = 1651 Venus_day.0022.ec.fits: ap = 86, w1 = 4152.847, w2 = 4065.289, dw = -0.05306, nw = 1651 Venus_day.0022.ec.fits: ap = 87, w1 = 4122.98, w2 = 4036.053, dw = -0.05268, nw = 1651 Venus_day.0022.ec.fits: ap = 88, w1 = 4093.541, w2 = 4007.234, dw = -0.05231, nw = 1651 Venus_day.0022.ec.fits: ap = 89, w1 = 4064.519, w2 = 3978.824, dw = -0.05194, nw = 1651 Venus_day.0022.ec.fits: ap = 90, w1 = 4035.906, w2 = 3950.814, dw = -0.05157, nw = 1651 Venus_day.0022.ec.fits: ap = 91, w1 = 4007.694, w2 = 3923.196, dw = -0.05121, nw = 1651 Venus_day.0022.ec.fits: ap = 92, w1 = 3979.874, w2 = 3895.962, dw = -0.05086, nw = 1651 Venus_day.0022.ec.fits: ap = 93, w1 = 3952.437, w2 = 3869.104, dw = -0.05051, nw = 1651 Venus_day.0022.ec.fits: ap = 94, w1 = 3925.377, w2 = 3842.613, dw = -0.05016, nw = 1651 Venus_day.0022.ec.fits: ap = 95, w1 = 3898.685, w2 = 3816.483, dw = -0.04982, nw = 1651 Venus_day.0022.ec.fits: ap = 96, w1 = 3872.354, w2 = 3790.706, dw = -0.04948, nw = 1651 Venus_day.0022.ec.fits: ap = 97, w1 = 3846.377, w2 = 3765.276, dw = -0.04915, nw = 1651 Venus_day.0022.ec.fits: ap = 98, w1 = 3820.747, w2 = 3740.184, dw = -0.04883, nw = 1651 Venus_day.0022.ec.fits: ap = 99, w1 = 3795.456, w2 = 3715.425, dw = -0.0485, nw = 1651 Venus_day.0022.ec.fits: ap = 100, w1 = 3770.498, w2 = 3690.992, dw = -0.04819, nw = 1651 Venus_day.0022.ec.fits: ap = 101, w1 = 3745.867, w2 = 3666.878, dw = -0.04787, nw = 1651 Venus_day.0022.ec.fits: ap = 102, w1 = 3721.555, w2 = 3643.077, dw = -0.04756, nw = 1651 Venus_day.0022.ec.fits: ap = 103, w1 = 3697.558, w2 = 3619.584, dw = -0.04726, nw = 1651 Venus_day.0022.ec.fits: ap = 104, w1 = 3673.869, w2 = 3596.392, dw = -0.04696, nw = 1651 Venus_day.0022.ec.fits: ap = 105, w1 = 3650.482, w2 = 3573.495, dw = -0.04666, nw = 1651 Venus_day.0022.ec.fits: ap = 106, w1 = 3627.391, w2 = 3550.888, dw = -0.04636, nw = 1651 Venus_day.0022.ec.fits: ap = 107, w1 = 3604.59, w2 = 3528.566, dw = -0.04608, nw = 1651 Venus_day.0022.ec.fits: ap = 108, w1 = 3582.076, w2 = 3506.523, dw = -0.04579, nw = 1651 Venus_day.0022.ec.fits: ap = 109, w1 = 3559.841, w2 = 3484.754, dw = -0.04551, nw = 1651 Venus_day.0022.ec.fits: ap = 110, w1 = 3537.88, w2 = 3463.253, dw = -0.04523, nw = 1651 Venus_day.0022.ec.fits: ap = 111, w1 = 3516.19, w2 = 3442.017, dw = -0.04495, nw = 1651 Venus_day.0022.ec.fits: ap = 112, w1 = 3494.765, w2 = 3421.039, dw = -0.04468, nw = 1651 Venus_day.0022.ec.fits: ap = 113, w1 = 3473.599, w2 = 3400.316, dw = -0.04441, nw = 1651 Venus_day.0022.ec.fits: ap = 114, w1 = 3452.689, w2 = 3379.843, dw = -0.04415, nw = 1651 Venus_day.0022.ec.fits: ap = 115, w1 = 3432.029, w2 = 3359.615, dw = -0.04389, nw = 1651 Venus_night.0018.ec.fits: REFSPEC1 = 'ThAr.0023.ec 1.' Venus_night.0018.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.46, dw = -0.1383, nw = 1651 Venus_night.0018.ec.fits: ap = 2, w1 = 10611.46, w2 = 10387.49, dw = -0.13574, nw = 1651 Venus_night.0018.ec.fits: ap = 3, w1 = 10418.54, w2 = 10198.64, dw = -0.13327, nw = 1651 Venus_night.0018.ec.fits: ap = 4, w1 = 10232.51, w2 = 10016.54, dw = -0.13089, nw = 1651 Venus_night.0018.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.829, dw = -0.12859, nw = 1651 Venus_night.0018.ec.fits: ap = 6, w1 = 9879.694, w2 = 9671.176, dw = -0.12637, nw = 1651 Venus_night.0018.ec.fits: ap = 7, w1 = 9712.255, w2 = 9507.273, dw = -0.12423, nw = 1651 Venus_night.0018.ec.fits: ap = 8, w1 = 9550.397, w2 = 9348.834, dw = -0.12216, nw = 1651 Venus_night.0018.ec.fits: ap = 9, w1 = 9393.846, w2 = 9195.589, dw = -0.12016, nw = 1651 Venus_night.0018.ec.fits: ap = 10, w1 = 9242.345, w2 = 9047.287, dw = -0.11822, nw = 1651 Venus_night.0018.ec.fits: ap = 11, w1 = 9095.654, w2 = 8903.694, dw = -0.11634, nw = 1651 Venus_night.0018.ec.fits: ap = 12, w1 = 8953.546, w2 = 8764.587, dw = -0.11452, nw = 1651 Venus_night.0018.ec.fits: ap = 13, w1 = 8815.811, w2 = 8629.761, dw = -0.11276, nw = 1651 Venus_night.0018.ec.fits: ap = 14, w1 = 8682.25, w2 = 8499.021, dw = -0.11105, nw = 1651 Venus_night.0018.ec.fits: ap = 15, w1 = 8552.676, w2 = 8372.183, dw = -0.10939, nw = 1651 Venus_night.0018.ec.fits: ap = 16, w1 = 8426.912, w2 = 8249.075, dw = -0.10778, nw = 1651 Venus_night.0018.ec.fits: ap = 17, w1 = 8304.794, w2 = 8129.536, dw = -0.10622, nw = 1651 Venus_night.0018.ec.fits: ap = 18, w1 = 8186.165, w2 = 8013.412, dw = -0.1047, nw = 1651 Venus_night.0018.ec.fits: ap = 19, w1 = 8070.877, w2 = 7900.559, dw = -0.10322, nw = 1651 Venus_night.0018.ec.fits: ap = 20, w1 = 7958.792, w2 = 7790.841, dw = -0.10179, nw = 1651 Venus_night.0018.ec.fits: ap = 21, w1 = 7849.778, w2 = 7684.129, dw = -0.10039, nw = 1651 Venus_night.0018.ec.fits: ap = 22, w1 = 7743.71, w2 = 7580.301, dw = -0.09904, nw = 1651 Venus_night.0018.ec.fits: ap = 23, w1 = 7640.47, w2 = 7479.242, dw = -0.09771, nw = 1651 Venus_night.0018.ec.fits: ap = 24, w1 = 7539.947, w2 = 7380.842, dw = -0.09643, nw = 1651 Venus_night.0018.ec.fits: ap = 25, w1 = 7442.036, w2 = 7284.998, dw = -0.09517, nw = 1651 Venus_night.0018.ec.fits: ap = 26, w1 = 7346.634, w2 = 7191.612, dw = -0.09395, nw = 1651 Venus_night.0018.ec.fits: ap = 27, w1 = 7253.648, w2 = 7100.59, dw = -0.09276, nw = 1651 Venus_night.0018.ec.fits: ap = 28, w1 = 7162.987, w2 = 7011.843, dw = -0.0916, nw = 1651 Venus_night.0018.ec.fits: ap = 29, w1 = 7074.564, w2 = 6925.288, dw = -0.09047, nw = 1651 Venus_night.0018.ec.fits: ap = 30, w1 = 6988.298, w2 = 6840.844, dw = -0.08937, nw = 1651 Venus_night.0018.ec.fits: ap = 31, w1 = 6904.11, w2 = 6758.434, dw = -0.08829, nw = 1651 Venus_night.0018.ec.fits: ap = 32, w1 = 6821.927, w2 = 6677.987, dw = -0.08724, nw = 1651 Venus_night.0018.ec.fits: ap = 33, w1 = 6741.678, w2 = 6599.433, dw = -0.08621, nw = 1651 Venus_night.0018.ec.fits: ap = 34, w1 = 6663.295, w2 = 6522.706, dw = -0.08521, nw = 1651 Venus_night.0018.ec.fits: ap = 35, w1 = 6586.713, w2 = 6447.742, dw = -0.08423, nw = 1651 Venus_night.0018.ec.fits: ap = 36, w1 = 6511.873, w2 = 6374.482, dw = -0.08327, nw = 1651 Venus_night.0018.ec.fits: ap = 37, w1 = 6438.714, w2 = 6302.869, dw = -0.08233, nw = 1651 Venus_night.0018.ec.fits: ap = 38, w1 = 6367.181, w2 = 6232.847, dw = -0.08141, nw = 1651 Venus_night.0018.ec.fits: ap = 39, w1 = 6297.22, w2 = 6164.364, dw = -0.08052, nw = 1651 Venus_night.0018.ec.fits: ap = 40, w1 = 6228.78, w2 = 6097.37, dw = -0.07964, nw = 1651 Venus_night.0018.ec.fits: ap = 41, w1 = 6161.812, w2 = 6031.817, dw = -0.07878, nw = 1651 Venus_night.0018.ec.fits: ap = 42, w1 = 6096.269, w2 = 5967.659, dw = -0.07795, nw = 1651 Venus_night.0018.ec.fits: ap = 43, w1 = 6032.105, w2 = 5904.851, dw = -0.07712, nw = 1651 Venus_night.0018.ec.fits: ap = 44, w1 = 5969.279, w2 = 5843.352, dw = -0.07632, nw = 1651 Venus_night.0018.ec.fits: ap = 45, w1 = 5907.748, w2 = 5783.121, dw = -0.07553, nw = 1651 Venus_night.0018.ec.fits: ap = 46, w1 = 5847.473, w2 = 5724.119, dw = -0.07476, nw = 1651 Venus_night.0018.ec.fits: ap = 47, w1 = 5788.415, w2 = 5666.309, dw = -0.074, nw = 1651 Venus_night.0018.ec.fits: ap = 48, w1 = 5730.539, w2 = 5609.656, dw = -0.07326, nw = 1651 Venus_night.0018.ec.fits: ap = 49, w1 = 5673.808, w2 = 5554.124, dw = -0.07254, nw = 1651 Venus_night.0018.ec.fits: ap = 50, w1 = 5618.191, w2 = 5499.682, dw = -0.07182, nw = 1651 Venus_night.0018.ec.fits: ap = 51, w1 = 5563.653, w2 = 5446.296, dw = -0.07113, nw = 1651 Venus_night.0018.ec.fits: ap = 52, w1 = 5510.164, w2 = 5393.938, dw = -0.07044, nw = 1651 Venus_night.0018.ec.fits: ap = 53, w1 = 5457.694, w2 = 5342.577, dw = -0.06977, nw = 1651 Venus_night.0018.ec.fits: ap = 54, w1 = 5406.214, w2 = 5292.184, dw = -0.06911, nw = 1651 Venus_night.0018.ec.fits: ap = 55, w1 = 5355.697, w2 = 5242.734, dw = -0.06846, nw = 1651 Venus_night.0018.ec.fits: ap = 56, w1 = 5306.115, w2 = 5194.2, dw = -0.06783, nw = 1651 Venus_night.0018.ec.fits: ap = 57, w1 = 5257.442, w2 = 5146.557, dw = -0.0672, nw = 1651 Venus_night.0018.ec.fits: ap = 58, w1 = 5209.655, w2 = 5099.779, dw = -0.06659, nw = 1651 Venus_night.0018.ec.fits: ap = 59, w1 = 5162.729, w2 = 5053.845, dw = -0.06599, nw = 1651 Venus_night.0018.ec.fits: ap = 60, w1 = 5116.642, w2 = 5008.731, dw = -0.0654, nw = 1651 Venus_night.0018.ec.fits: ap = 61, w1 = 5071.369, w2 = 4964.416, dw = -0.06482, nw = 1651 Venus_night.0018.ec.fits: ap = 62, w1 = 5026.892, w2 = 4920.878, dw = -0.06425, nw = 1651 Venus_night.0018.ec.fits: ap = 63, w1 = 4983.188, w2 = 4878.097, dw = -0.06369, nw = 1651 Venus_night.0018.ec.fits: ap = 64, w1 = 4940.237, w2 = 4836.054, dw = -0.06314, nw = 1651 Venus_night.0018.ec.fits: ap = 65, w1 = 4898.021, w2 = 4794.73, dw = -0.0626, nw = 1651 Venus_night.0018.ec.fits: ap = 66, w1 = 4856.521, w2 = 4754.106, dw = -0.06207, nw = 1651 Venus_night.0018.ec.fits: ap = 67, w1 = 4815.718, w2 = 4714.166, dw = -0.06155, nw = 1651 Venus_night.0018.ec.fits: ap = 68, w1 = 4775.595, w2 = 4674.891, dw = -0.06103, nw = 1651 Venus_night.0018.ec.fits: ap = 69, w1 = 4736.136, w2 = 4636.265, dw = -0.06053, nw = 1651 Venus_night.0018.ec.fits: ap = 70, w1 = 4697.324, w2 = 4598.272, dw = -0.06003, nw = 1651 Venus_night.0018.ec.fits: ap = 71, w1 = 4659.142, w2 = 4560.898, dw = -0.05954, nw = 1651 Venus_night.0018.ec.fits: ap = 72, w1 = 4621.577, w2 = 4524.126, dw = -0.05906, nw = 1651 Venus_night.0018.ec.fits: ap = 73, w1 = 4584.613, w2 = 4487.943, dw = -0.05859, nw = 1651 Venus_night.0018.ec.fits: ap = 74, w1 = 4548.236, w2 = 4452.334, dw = -0.05812, nw = 1651 Venus_night.0018.ec.fits: ap = 75, w1 = 4512.432, w2 = 4417.286, dw = -0.05766, nw = 1651 Venus_night.0018.ec.fits: ap = 76, w1 = 4477.188, w2 = 4382.786, dw = -0.05721, nw = 1651 Venus_night.0018.ec.fits: ap = 77, w1 = 4442.49, w2 = 4348.821, dw = -0.05677, nw = 1651 Venus_night.0018.ec.fits: ap = 78, w1 = 4408.326, w2 = 4315.378, dw = -0.05633, nw = 1651 Venus_night.0018.ec.fits: ap = 79, w1 = 4374.684, w2 = 4282.447, dw = -0.0559, nw = 1651 Venus_night.0018.ec.fits: ap = 80, w1 = 4341.552, w2 = 4250.014, dw = -0.05548, nw = 1651 Venus_night.0018.ec.fits: ap = 81, w1 = 4308.918, w2 = 4218.069, dw = -0.05506, nw = 1651 Venus_night.0018.ec.fits: ap = 82, w1 = 4276.772, w2 = 4186.601, dw = -0.05465, nw = 1651 Venus_night.0018.ec.fits: ap = 83, w1 = 4245.102, w2 = 4155.599, dw = -0.05424, nw = 1651 Venus_night.0018.ec.fits: ap = 84, w1 = 4213.898, w2 = 4125.053, dw = -0.05385, nw = 1651 Venus_night.0018.ec.fits: ap = 85, w1 = 4183.149, w2 = 4094.953, dw = -0.05345, nw = 1651 Venus_night.0018.ec.fits: ap = 86, w1 = 4152.847, w2 = 4065.289, dw = -0.05306, nw = 1651 Venus_night.0018.ec.fits: ap = 87, w1 = 4122.98, w2 = 4036.053, dw = -0.05268, nw = 1651 Venus_night.0018.ec.fits: ap = 88, w1 = 4093.541, w2 = 4007.234, dw = -0.05231, nw = 1651 Venus_night.0018.ec.fits: ap = 89, w1 = 4064.519, w2 = 3978.824, dw = -0.05194, nw = 1651 Venus_night.0018.ec.fits: ap = 90, w1 = 4035.906, w2 = 3950.814, dw = -0.05157, nw = 1651 Venus_night.0018.ec.fits: ap = 91, w1 = 4007.694, w2 = 3923.196, dw = -0.05121, nw = 1651 Venus_night.0018.ec.fits: ap = 92, w1 = 3979.874, w2 = 3895.962, dw = -0.05086, nw = 1651 Venus_night.0018.ec.fits: ap = 93, w1 = 3952.437, w2 = 3869.104, dw = -0.05051, nw = 1651 Venus_night.0018.ec.fits: ap = 94, w1 = 3925.377, w2 = 3842.613, dw = -0.05016, nw = 1651 Venus_night.0018.ec.fits: ap = 95, w1 = 3898.685, w2 = 3816.483, dw = -0.04982, nw = 1651 Venus_night.0018.ec.fits: ap = 96, w1 = 3872.354, w2 = 3790.706, dw = -0.04948, nw = 1651 Venus_night.0018.ec.fits: ap = 97, w1 = 3846.377, w2 = 3765.276, dw = -0.04915, nw = 1651 Venus_night.0018.ec.fits: ap = 98, w1 = 3820.747, w2 = 3740.184, dw = -0.04883, nw = 1651 Venus_night.0018.ec.fits: ap = 99, w1 = 3795.456, w2 = 3715.425, dw = -0.0485, nw = 1651 Venus_night.0018.ec.fits: ap = 100, w1 = 3770.498, w2 = 3690.992, dw = -0.04819, nw = 1651 Venus_night.0018.ec.fits: ap = 101, w1 = 3745.867, w2 = 3666.878, dw = -0.04787, nw = 1651 Venus_night.0018.ec.fits: ap = 102, w1 = 3721.555, w2 = 3643.077, dw = -0.04756, nw = 1651 Venus_night.0018.ec.fits: ap = 103, w1 = 3697.558, w2 = 3619.584, dw = -0.04726, nw = 1651 Venus_night.0018.ec.fits: ap = 104, w1 = 3673.869, w2 = 3596.392, dw = -0.04696, nw = 1651 Venus_night.0018.ec.fits: ap = 105, w1 = 3650.482, w2 = 3573.495, dw = -0.04666, nw = 1651 Venus_night.0018.ec.fits: ap = 106, w1 = 3627.391, w2 = 3550.888, dw = -0.04636, nw = 1651 Venus_night.0018.ec.fits: ap = 107, w1 = 3604.59, w2 = 3528.566, dw = -0.04608, nw = 1651 Venus_night.0018.ec.fits: ap = 108, w1 = 3582.076, w2 = 3506.523, dw = -0.04579, nw = 1651 Venus_night.0018.ec.fits: ap = 109, w1 = 3559.841, w2 = 3484.754, dw = -0.04551, nw = 1651 Venus_night.0018.ec.fits: ap = 110, w1 = 3537.88, w2 = 3463.253, dw = -0.04523, nw = 1651 Venus_night.0018.ec.fits: ap = 111, w1 = 3516.19, w2 = 3442.017, dw = -0.04495, nw = 1651 Venus_night.0018.ec.fits: ap = 112, w1 = 3494.765, w2 = 3421.039, dw = -0.04468, nw = 1651 Venus_night.0018.ec.fits: ap = 113, w1 = 3473.599, w2 = 3400.316, dw = -0.04441, nw = 1651 Venus_night.0018.ec.fits: ap = 114, w1 = 3452.689, w2 = 3379.843, dw = -0.04415, nw = 1651 Venus_night.0018.ec.fits: ap = 115, w1 = 3432.029, w2 = 3359.615, dw = -0.04389, nw = 1651 Venus_night.0019.ec.fits: REFSPEC1 = 'ThAr.0023.ec 1.' Venus_night.0019.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.46, dw = -0.1383, nw = 1651 Venus_night.0019.ec.fits: ap = 2, w1 = 10611.46, w2 = 10387.49, dw = -0.13574, nw = 1651 Venus_night.0019.ec.fits: ap = 3, w1 = 10418.54, w2 = 10198.64, dw = -0.13327, nw = 1651 Venus_night.0019.ec.fits: ap = 4, w1 = 10232.51, w2 = 10016.54, dw = -0.13089, nw = 1651 Venus_night.0019.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.829, dw = -0.12859, nw = 1651 Venus_night.0019.ec.fits: ap = 6, w1 = 9879.694, w2 = 9671.176, dw = -0.12637, nw = 1651 Venus_night.0019.ec.fits: ap = 7, w1 = 9712.255, w2 = 9507.273, dw = -0.12423, nw = 1651 Venus_night.0019.ec.fits: ap = 8, w1 = 9550.397, w2 = 9348.834, dw = -0.12216, nw = 1651 Venus_night.0019.ec.fits: ap = 9, w1 = 9393.846, w2 = 9195.589, dw = -0.12016, nw = 1651 Venus_night.0019.ec.fits: ap = 10, w1 = 9242.345, w2 = 9047.287, dw = -0.11822, nw = 1651 Venus_night.0019.ec.fits: ap = 11, w1 = 9095.654, w2 = 8903.694, dw = -0.11634, nw = 1651 Venus_night.0019.ec.fits: ap = 12, w1 = 8953.546, w2 = 8764.587, dw = -0.11452, nw = 1651 Venus_night.0019.ec.fits: ap = 13, w1 = 8815.811, w2 = 8629.761, dw = -0.11276, nw = 1651 Venus_night.0019.ec.fits: ap = 14, w1 = 8682.25, w2 = 8499.021, dw = -0.11105, nw = 1651 Venus_night.0019.ec.fits: ap = 15, w1 = 8552.676, w2 = 8372.183, dw = -0.10939, nw = 1651 Venus_night.0019.ec.fits: ap = 16, w1 = 8426.912, w2 = 8249.075, dw = -0.10778, nw = 1651 Venus_night.0019.ec.fits: ap = 17, w1 = 8304.794, w2 = 8129.536, dw = -0.10622, nw = 1651 Venus_night.0019.ec.fits: ap = 18, w1 = 8186.165, w2 = 8013.412, dw = -0.1047, nw = 1651 Venus_night.0019.ec.fits: ap = 19, w1 = 8070.877, w2 = 7900.559, dw = -0.10322, nw = 1651 Venus_night.0019.ec.fits: ap = 20, w1 = 7958.792, w2 = 7790.841, dw = -0.10179, nw = 1651 Venus_night.0019.ec.fits: ap = 21, w1 = 7849.778, w2 = 7684.129, dw = -0.10039, nw = 1651 Venus_night.0019.ec.fits: ap = 22, w1 = 7743.71, w2 = 7580.301, dw = -0.09904, nw = 1651 Venus_night.0019.ec.fits: ap = 23, w1 = 7640.47, w2 = 7479.242, dw = -0.09771, nw = 1651 Venus_night.0019.ec.fits: ap = 24, w1 = 7539.947, w2 = 7380.842, dw = -0.09643, nw = 1651 Venus_night.0019.ec.fits: ap = 25, w1 = 7442.036, w2 = 7284.998, dw = -0.09517, nw = 1651 Venus_night.0019.ec.fits: ap = 26, w1 = 7346.634, w2 = 7191.612, dw = -0.09395, nw = 1651 Venus_night.0019.ec.fits: ap = 27, w1 = 7253.648, w2 = 7100.59, dw = -0.09276, nw = 1651 Venus_night.0019.ec.fits: ap = 28, w1 = 7162.987, w2 = 7011.843, dw = -0.0916, nw = 1651 Venus_night.0019.ec.fits: ap = 29, w1 = 7074.564, w2 = 6925.288, dw = -0.09047, nw = 1651 Venus_night.0019.ec.fits: ap = 30, w1 = 6988.298, w2 = 6840.844, dw = -0.08937, nw = 1651 Venus_night.0019.ec.fits: ap = 31, w1 = 6904.11, w2 = 6758.434, dw = -0.08829, nw = 1651 Venus_night.0019.ec.fits: ap = 32, w1 = 6821.927, w2 = 6677.987, dw = -0.08724, nw = 1651 Venus_night.0019.ec.fits: ap = 33, w1 = 6741.678, w2 = 6599.433, dw = -0.08621, nw = 1651 Venus_night.0019.ec.fits: ap = 34, w1 = 6663.295, w2 = 6522.706, dw = -0.08521, nw = 1651 Venus_night.0019.ec.fits: ap = 35, w1 = 6586.713, w2 = 6447.742, dw = -0.08423, nw = 1651 Venus_night.0019.ec.fits: ap = 36, w1 = 6511.873, w2 = 6374.482, dw = -0.08327, nw = 1651 Venus_night.0019.ec.fits: ap = 37, w1 = 6438.714, w2 = 6302.869, dw = -0.08233, nw = 1651 Venus_night.0019.ec.fits: ap = 38, w1 = 6367.181, w2 = 6232.847, dw = -0.08141, nw = 1651 Venus_night.0019.ec.fits: ap = 39, w1 = 6297.22, w2 = 6164.364, dw = -0.08052, nw = 1651 Venus_night.0019.ec.fits: ap = 40, w1 = 6228.78, w2 = 6097.37, dw = -0.07964, nw = 1651 Venus_night.0019.ec.fits: ap = 41, w1 = 6161.812, w2 = 6031.817, dw = -0.07878, nw = 1651 Venus_night.0019.ec.fits: ap = 42, w1 = 6096.269, w2 = 5967.659, dw = -0.07795, nw = 1651 Venus_night.0019.ec.fits: ap = 43, w1 = 6032.105, w2 = 5904.851, dw = -0.07712, nw = 1651 Venus_night.0019.ec.fits: ap = 44, w1 = 5969.279, w2 = 5843.352, dw = -0.07632, nw = 1651 Venus_night.0019.ec.fits: ap = 45, w1 = 5907.748, w2 = 5783.121, dw = -0.07553, nw = 1651 Venus_night.0019.ec.fits: ap = 46, w1 = 5847.473, w2 = 5724.119, dw = -0.07476, nw = 1651 Venus_night.0019.ec.fits: ap = 47, w1 = 5788.415, w2 = 5666.309, dw = -0.074, nw = 1651 Venus_night.0019.ec.fits: ap = 48, w1 = 5730.539, w2 = 5609.656, dw = -0.07326, nw = 1651 Venus_night.0019.ec.fits: ap = 49, w1 = 5673.808, w2 = 5554.124, dw = -0.07254, nw = 1651 Venus_night.0019.ec.fits: ap = 50, w1 = 5618.191, w2 = 5499.682, dw = -0.07182, nw = 1651 Venus_night.0019.ec.fits: ap = 51, w1 = 5563.653, w2 = 5446.296, dw = -0.07113, nw = 1651 Venus_night.0019.ec.fits: ap = 52, w1 = 5510.164, w2 = 5393.938, dw = -0.07044, nw = 1651 Venus_night.0019.ec.fits: ap = 53, w1 = 5457.694, w2 = 5342.577, dw = -0.06977, nw = 1651 Venus_night.0019.ec.fits: ap = 54, w1 = 5406.214, w2 = 5292.184, dw = -0.06911, nw = 1651 Venus_night.0019.ec.fits: ap = 55, w1 = 5355.697, w2 = 5242.734, dw = -0.06846, nw = 1651 Venus_night.0019.ec.fits: ap = 56, w1 = 5306.115, w2 = 5194.2, dw = -0.06783, nw = 1651 Venus_night.0019.ec.fits: ap = 57, w1 = 5257.442, w2 = 5146.557, dw = -0.0672, nw = 1651 Venus_night.0019.ec.fits: ap = 58, w1 = 5209.655, w2 = 5099.779, dw = -0.06659, nw = 1651 Venus_night.0019.ec.fits: ap = 59, w1 = 5162.729, w2 = 5053.845, dw = -0.06599, nw = 1651 Venus_night.0019.ec.fits: ap = 60, w1 = 5116.642, w2 = 5008.731, dw = -0.0654, nw = 1651 Venus_night.0019.ec.fits: ap = 61, w1 = 5071.369, w2 = 4964.416, dw = -0.06482, nw = 1651 Venus_night.0019.ec.fits: ap = 62, w1 = 5026.892, w2 = 4920.878, dw = -0.06425, nw = 1651 Venus_night.0019.ec.fits: ap = 63, w1 = 4983.188, w2 = 4878.097, dw = -0.06369, nw = 1651 Venus_night.0019.ec.fits: ap = 64, w1 = 4940.237, w2 = 4836.054, dw = -0.06314, nw = 1651 Venus_night.0019.ec.fits: ap = 65, w1 = 4898.021, w2 = 4794.73, dw = -0.0626, nw = 1651 Venus_night.0019.ec.fits: ap = 66, w1 = 4856.521, w2 = 4754.106, dw = -0.06207, nw = 1651 Venus_night.0019.ec.fits: ap = 67, w1 = 4815.718, w2 = 4714.166, dw = -0.06155, nw = 1651 Venus_night.0019.ec.fits: ap = 68, w1 = 4775.595, w2 = 4674.891, dw = -0.06103, nw = 1651 Venus_night.0019.ec.fits: ap = 69, w1 = 4736.136, w2 = 4636.265, dw = -0.06053, nw = 1651 Venus_night.0019.ec.fits: ap = 70, w1 = 4697.324, w2 = 4598.272, dw = -0.06003, nw = 1651 Venus_night.0019.ec.fits: ap = 71, w1 = 4659.142, w2 = 4560.898, dw = -0.05954, nw = 1651 Venus_night.0019.ec.fits: ap = 72, w1 = 4621.577, w2 = 4524.126, dw = -0.05906, nw = 1651 Venus_night.0019.ec.fits: ap = 73, w1 = 4584.613, w2 = 4487.943, dw = -0.05859, nw = 1651 Venus_night.0019.ec.fits: ap = 74, w1 = 4548.236, w2 = 4452.334, dw = -0.05812, nw = 1651 Venus_night.0019.ec.fits: ap = 75, w1 = 4512.432, w2 = 4417.286, dw = -0.05766, nw = 1651 Venus_night.0019.ec.fits: ap = 76, w1 = 4477.188, w2 = 4382.786, dw = -0.05721, nw = 1651 Venus_night.0019.ec.fits: ap = 77, w1 = 4442.49, w2 = 4348.821, dw = -0.05677, nw = 1651 Venus_night.0019.ec.fits: ap = 78, w1 = 4408.326, w2 = 4315.378, dw = -0.05633, nw = 1651 Venus_night.0019.ec.fits: ap = 79, w1 = 4374.684, w2 = 4282.447, dw = -0.0559, nw = 1651 Venus_night.0019.ec.fits: ap = 80, w1 = 4341.552, w2 = 4250.014, dw = -0.05548, nw = 1651 Venus_night.0019.ec.fits: ap = 81, w1 = 4308.918, w2 = 4218.069, dw = -0.05506, nw = 1651 Venus_night.0019.ec.fits: ap = 82, w1 = 4276.772, w2 = 4186.601, dw = -0.05465, nw = 1651 Venus_night.0019.ec.fits: ap = 83, w1 = 4245.102, w2 = 4155.599, dw = -0.05424, nw = 1651 Venus_night.0019.ec.fits: ap = 84, w1 = 4213.898, w2 = 4125.053, dw = -0.05385, nw = 1651 Venus_night.0019.ec.fits: ap = 85, w1 = 4183.149, w2 = 4094.953, dw = -0.05345, nw = 1651 Venus_night.0019.ec.fits: ap = 86, w1 = 4152.847, w2 = 4065.289, dw = -0.05306, nw = 1651 Venus_night.0019.ec.fits: ap = 87, w1 = 4122.98, w2 = 4036.053, dw = -0.05268, nw = 1651 Venus_night.0019.ec.fits: ap = 88, w1 = 4093.541, w2 = 4007.234, dw = -0.05231, nw = 1651 Venus_night.0019.ec.fits: ap = 89, w1 = 4064.519, w2 = 3978.824, dw = -0.05194, nw = 1651 Venus_night.0019.ec.fits: ap = 90, w1 = 4035.906, w2 = 3950.814, dw = -0.05157, nw = 1651 Venus_night.0019.ec.fits: ap = 91, w1 = 4007.694, w2 = 3923.196, dw = -0.05121, nw = 1651 Venus_night.0019.ec.fits: ap = 92, w1 = 3979.874, w2 = 3895.962, dw = -0.05086, nw = 1651 Venus_night.0019.ec.fits: ap = 93, w1 = 3952.437, w2 = 3869.104, dw = -0.05051, nw = 1651 Venus_night.0019.ec.fits: ap = 94, w1 = 3925.377, w2 = 3842.613, dw = -0.05016, nw = 1651 Venus_night.0019.ec.fits: ap = 95, w1 = 3898.685, w2 = 3816.483, dw = -0.04982, nw = 1651 Venus_night.0019.ec.fits: ap = 96, w1 = 3872.354, w2 = 3790.706, dw = -0.04948, nw = 1651 Venus_night.0019.ec.fits: ap = 97, w1 = 3846.377, w2 = 3765.276, dw = -0.04915, nw = 1651 Venus_night.0019.ec.fits: ap = 98, w1 = 3820.747, w2 = 3740.184, dw = -0.04883, nw = 1651 Venus_night.0019.ec.fits: ap = 99, w1 = 3795.456, w2 = 3715.425, dw = -0.0485, nw = 1651 Venus_night.0019.ec.fits: ap = 100, w1 = 3770.498, w2 = 3690.992, dw = -0.04819, nw = 1651 Venus_night.0019.ec.fits: ap = 101, w1 = 3745.867, w2 = 3666.878, dw = -0.04787, nw = 1651 Venus_night.0019.ec.fits: ap = 102, w1 = 3721.555, w2 = 3643.077, dw = -0.04756, nw = 1651 Venus_night.0019.ec.fits: ap = 103, w1 = 3697.558, w2 = 3619.584, dw = -0.04726, nw = 1651 Venus_night.0019.ec.fits: ap = 104, w1 = 3673.869, w2 = 3596.392, dw = -0.04696, nw = 1651 Venus_night.0019.ec.fits: ap = 105, w1 = 3650.482, w2 = 3573.495, dw = -0.04666, nw = 1651 Venus_night.0019.ec.fits: ap = 106, w1 = 3627.391, w2 = 3550.888, dw = -0.04636, nw = 1651 Venus_night.0019.ec.fits: ap = 107, w1 = 3604.59, w2 = 3528.566, dw = -0.04608, nw = 1651 Venus_night.0019.ec.fits: ap = 108, w1 = 3582.076, w2 = 3506.523, dw = -0.04579, nw = 1651 Venus_night.0019.ec.fits: ap = 109, w1 = 3559.841, w2 = 3484.754, dw = -0.04551, nw = 1651 Venus_night.0019.ec.fits: ap = 110, w1 = 3537.88, w2 = 3463.253, dw = -0.04523, nw = 1651 Venus_night.0019.ec.fits: ap = 111, w1 = 3516.19, w2 = 3442.017, dw = -0.04495, nw = 1651 Venus_night.0019.ec.fits: ap = 112, w1 = 3494.765, w2 = 3421.039, dw = -0.04468, nw = 1651 Venus_night.0019.ec.fits: ap = 113, w1 = 3473.599, w2 = 3400.316, dw = -0.04441, nw = 1651 Venus_night.0019.ec.fits: ap = 114, w1 = 3452.689, w2 = 3379.843, dw = -0.04415, nw = 1651 Venus_night.0019.ec.fits: ap = 115, w1 = 3432.029, w2 = 3359.615, dw = -0.04389, nw = 1651 sky.0020.ec.fits: REFSPEC1 = 'ThAr.0023.ec 1.' sky.0020.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.46, dw = -0.1383, nw = 1651 sky.0020.ec.fits: ap = 2, w1 = 10611.46, w2 = 10387.49, dw = -0.13574, nw = 1651 sky.0020.ec.fits: ap = 3, w1 = 10418.54, w2 = 10198.64, dw = -0.13327, nw = 1651 sky.0020.ec.fits: ap = 4, w1 = 10232.51, w2 = 10016.54, dw = -0.13089, nw = 1651 sky.0020.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.829, dw = -0.12859, nw = 1651 sky.0020.ec.fits: ap = 6, w1 = 9879.694, w2 = 9671.176, dw = -0.12637, nw = 1651 sky.0020.ec.fits: ap = 7, w1 = 9712.255, w2 = 9507.273, dw = -0.12423, nw = 1651 sky.0020.ec.fits: ap = 8, w1 = 9550.397, w2 = 9348.834, dw = -0.12216, nw = 1651 sky.0020.ec.fits: ap = 9, w1 = 9393.846, w2 = 9195.589, dw = -0.12016, nw = 1651 sky.0020.ec.fits: ap = 10, w1 = 9242.345, w2 = 9047.287, dw = -0.11822, nw = 1651 sky.0020.ec.fits: ap = 11, w1 = 9095.654, w2 = 8903.694, dw = -0.11634, nw = 1651 sky.0020.ec.fits: ap = 12, w1 = 8953.546, w2 = 8764.587, dw = -0.11452, nw = 1651 sky.0020.ec.fits: ap = 13, w1 = 8815.811, w2 = 8629.761, dw = -0.11276, nw = 1651 sky.0020.ec.fits: ap = 14, w1 = 8682.25, w2 = 8499.021, dw = -0.11105, nw = 1651 sky.0020.ec.fits: ap = 15, w1 = 8552.676, w2 = 8372.183, dw = -0.10939, nw = 1651 sky.0020.ec.fits: ap = 16, w1 = 8426.912, w2 = 8249.075, dw = -0.10778, nw = 1651 sky.0020.ec.fits: ap = 17, w1 = 8304.794, w2 = 8129.536, dw = -0.10622, nw = 1651 sky.0020.ec.fits: ap = 18, w1 = 8186.165, w2 = 8013.412, dw = -0.1047, nw = 1651 sky.0020.ec.fits: ap = 19, w1 = 8070.877, w2 = 7900.559, dw = -0.10322, nw = 1651 sky.0020.ec.fits: ap = 20, w1 = 7958.792, w2 = 7790.841, dw = -0.10179, nw = 1651 sky.0020.ec.fits: ap = 21, w1 = 7849.778, w2 = 7684.129, dw = -0.10039, nw = 1651 sky.0020.ec.fits: ap = 22, w1 = 7743.71, w2 = 7580.301, dw = -0.09904, nw = 1651 sky.0020.ec.fits: ap = 23, w1 = 7640.47, w2 = 7479.242, dw = -0.09771, nw = 1651 sky.0020.ec.fits: ap = 24, w1 = 7539.947, w2 = 7380.842, dw = -0.09643, nw = 1651 sky.0020.ec.fits: ap = 25, w1 = 7442.036, w2 = 7284.998, dw = -0.09517, nw = 1651 sky.0020.ec.fits: ap = 26, w1 = 7346.634, w2 = 7191.612, dw = -0.09395, nw = 1651 sky.0020.ec.fits: ap = 27, w1 = 7253.648, w2 = 7100.59, dw = -0.09276, nw = 1651 sky.0020.ec.fits: ap = 28, w1 = 7162.987, w2 = 7011.843, dw = -0.0916, nw = 1651 sky.0020.ec.fits: ap = 29, w1 = 7074.564, w2 = 6925.288, dw = -0.09047, nw = 1651 sky.0020.ec.fits: ap = 30, w1 = 6988.298, w2 = 6840.844, dw = -0.08937, nw = 1651 sky.0020.ec.fits: ap = 31, w1 = 6904.11, w2 = 6758.434, dw = -0.08829, nw = 1651 sky.0020.ec.fits: ap = 32, w1 = 6821.927, w2 = 6677.987, dw = -0.08724, nw = 1651 sky.0020.ec.fits: ap = 33, w1 = 6741.678, w2 = 6599.433, dw = -0.08621, nw = 1651 sky.0020.ec.fits: ap = 34, w1 = 6663.295, w2 = 6522.706, dw = -0.08521, nw = 1651 sky.0020.ec.fits: ap = 35, w1 = 6586.713, w2 = 6447.742, dw = -0.08423, nw = 1651 sky.0020.ec.fits: ap = 36, w1 = 6511.873, w2 = 6374.482, dw = -0.08327, nw = 1651 sky.0020.ec.fits: ap = 37, w1 = 6438.714, w2 = 6302.869, dw = -0.08233, nw = 1651 sky.0020.ec.fits: ap = 38, w1 = 6367.181, w2 = 6232.847, dw = -0.08141, nw = 1651 sky.0020.ec.fits: ap = 39, w1 = 6297.22, w2 = 6164.364, dw = -0.08052, nw = 1651 sky.0020.ec.fits: ap = 40, w1 = 6228.78, w2 = 6097.37, dw = -0.07964, nw = 1651 sky.0020.ec.fits: ap = 41, w1 = 6161.812, w2 = 6031.817, dw = -0.07878, nw = 1651 sky.0020.ec.fits: ap = 42, w1 = 6096.269, w2 = 5967.659, dw = -0.07795, nw = 1651 sky.0020.ec.fits: ap = 43, w1 = 6032.105, w2 = 5904.851, dw = -0.07712, nw = 1651 sky.0020.ec.fits: ap = 44, w1 = 5969.279, w2 = 5843.352, dw = -0.07632, nw = 1651 sky.0020.ec.fits: ap = 45, w1 = 5907.748, w2 = 5783.121, dw = -0.07553, nw = 1651 sky.0020.ec.fits: ap = 46, w1 = 5847.473, w2 = 5724.119, dw = -0.07476, nw = 1651 sky.0020.ec.fits: ap = 47, w1 = 5788.415, w2 = 5666.309, dw = -0.074, nw = 1651 sky.0020.ec.fits: ap = 48, w1 = 5730.539, w2 = 5609.656, dw = -0.07326, nw = 1651 sky.0020.ec.fits: ap = 49, w1 = 5673.808, w2 = 5554.124, dw = -0.07254, nw = 1651 sky.0020.ec.fits: ap = 50, w1 = 5618.191, w2 = 5499.682, dw = -0.07182, nw = 1651 sky.0020.ec.fits: ap = 51, w1 = 5563.653, w2 = 5446.296, dw = -0.07113, nw = 1651 sky.0020.ec.fits: ap = 52, w1 = 5510.164, w2 = 5393.938, dw = -0.07044, nw = 1651 sky.0020.ec.fits: ap = 53, w1 = 5457.694, w2 = 5342.577, dw = -0.06977, nw = 1651 sky.0020.ec.fits: ap = 54, w1 = 5406.214, w2 = 5292.184, dw = -0.06911, nw = 1651 sky.0020.ec.fits: ap = 55, w1 = 5355.697, w2 = 5242.734, dw = -0.06846, nw = 1651 sky.0020.ec.fits: ap = 56, w1 = 5306.115, w2 = 5194.2, dw = -0.06783, nw = 1651 sky.0020.ec.fits: ap = 57, w1 = 5257.442, w2 = 5146.557, dw = -0.0672, nw = 1651 sky.0020.ec.fits: ap = 58, w1 = 5209.655, w2 = 5099.779, dw = -0.06659, nw = 1651 sky.0020.ec.fits: ap = 59, w1 = 5162.729, w2 = 5053.845, dw = -0.06599, nw = 1651 sky.0020.ec.fits: ap = 60, w1 = 5116.642, w2 = 5008.731, dw = -0.0654, nw = 1651 sky.0020.ec.fits: ap = 61, w1 = 5071.369, w2 = 4964.416, dw = -0.06482, nw = 1651 sky.0020.ec.fits: ap = 62, w1 = 5026.892, w2 = 4920.878, dw = -0.06425, nw = 1651 sky.0020.ec.fits: ap = 63, w1 = 4983.188, w2 = 4878.097, dw = -0.06369, nw = 1651 sky.0020.ec.fits: ap = 64, w1 = 4940.237, w2 = 4836.054, dw = -0.06314, nw = 1651 sky.0020.ec.fits: ap = 65, w1 = 4898.021, w2 = 4794.73, dw = -0.0626, nw = 1651 sky.0020.ec.fits: ap = 66, w1 = 4856.521, w2 = 4754.106, dw = -0.06207, nw = 1651 sky.0020.ec.fits: ap = 67, w1 = 4815.718, w2 = 4714.166, dw = -0.06155, nw = 1651 sky.0020.ec.fits: ap = 68, w1 = 4775.595, w2 = 4674.891, dw = -0.06103, nw = 1651 sky.0020.ec.fits: ap = 69, w1 = 4736.136, w2 = 4636.265, dw = -0.06053, nw = 1651 sky.0020.ec.fits: ap = 70, w1 = 4697.324, w2 = 4598.272, dw = -0.06003, nw = 1651 sky.0020.ec.fits: ap = 71, w1 = 4659.142, w2 = 4560.898, dw = -0.05954, nw = 1651 sky.0020.ec.fits: ap = 72, w1 = 4621.577, w2 = 4524.126, dw = -0.05906, nw = 1651 sky.0020.ec.fits: ap = 73, w1 = 4584.613, w2 = 4487.943, dw = -0.05859, nw = 1651 sky.0020.ec.fits: ap = 74, w1 = 4548.236, w2 = 4452.334, dw = -0.05812, nw = 1651 sky.0020.ec.fits: ap = 75, w1 = 4512.432, w2 = 4417.286, dw = -0.05766, nw = 1651 sky.0020.ec.fits: ap = 76, w1 = 4477.188, w2 = 4382.786, dw = -0.05721, nw = 1651 sky.0020.ec.fits: ap = 77, w1 = 4442.49, w2 = 4348.821, dw = -0.05677, nw = 1651 sky.0020.ec.fits: ap = 78, w1 = 4408.326, w2 = 4315.378, dw = -0.05633, nw = 1651 sky.0020.ec.fits: ap = 79, w1 = 4374.684, w2 = 4282.447, dw = -0.0559, nw = 1651 sky.0020.ec.fits: ap = 80, w1 = 4341.552, w2 = 4250.014, dw = -0.05548, nw = 1651 sky.0020.ec.fits: ap = 81, w1 = 4308.918, w2 = 4218.069, dw = -0.05506, nw = 1651 sky.0020.ec.fits: ap = 82, w1 = 4276.772, w2 = 4186.601, dw = -0.05465, nw = 1651 sky.0020.ec.fits: ap = 83, w1 = 4245.102, w2 = 4155.599, dw = -0.05424, nw = 1651 sky.0020.ec.fits: ap = 84, w1 = 4213.898, w2 = 4125.053, dw = -0.05385, nw = 1651 sky.0020.ec.fits: ap = 85, w1 = 4183.149, w2 = 4094.953, dw = -0.05345, nw = 1651 sky.0020.ec.fits: ap = 86, w1 = 4152.847, w2 = 4065.289, dw = -0.05306, nw = 1651 sky.0020.ec.fits: ap = 87, w1 = 4122.98, w2 = 4036.053, dw = -0.05268, nw = 1651 sky.0020.ec.fits: ap = 88, w1 = 4093.541, w2 = 4007.234, dw = -0.05231, nw = 1651 sky.0020.ec.fits: ap = 89, w1 = 4064.519, w2 = 3978.824, dw = -0.05194, nw = 1651 sky.0020.ec.fits: ap = 90, w1 = 4035.906, w2 = 3950.814, dw = -0.05157, nw = 1651 sky.0020.ec.fits: ap = 91, w1 = 4007.694, w2 = 3923.196, dw = -0.05121, nw = 1651 sky.0020.ec.fits: ap = 92, w1 = 3979.874, w2 = 3895.962, dw = -0.05086, nw = 1651 sky.0020.ec.fits: ap = 93, w1 = 3952.437, w2 = 3869.104, dw = -0.05051, nw = 1651 sky.0020.ec.fits: ap = 94, w1 = 3925.377, w2 = 3842.613, dw = -0.05016, nw = 1651 sky.0020.ec.fits: ap = 95, w1 = 3898.685, w2 = 3816.483, dw = -0.04982, nw = 1651 sky.0020.ec.fits: ap = 96, w1 = 3872.354, w2 = 3790.706, dw = -0.04948, nw = 1651 sky.0020.ec.fits: ap = 97, w1 = 3846.377, w2 = 3765.276, dw = -0.04915, nw = 1651 sky.0020.ec.fits: ap = 98, w1 = 3820.747, w2 = 3740.184, dw = -0.04883, nw = 1651 sky.0020.ec.fits: ap = 99, w1 = 3795.456, w2 = 3715.425, dw = -0.0485, nw = 1651 sky.0020.ec.fits: ap = 100, w1 = 3770.498, w2 = 3690.992, dw = -0.04819, nw = 1651 sky.0020.ec.fits: ap = 101, w1 = 3745.867, w2 = 3666.878, dw = -0.04787, nw = 1651 sky.0020.ec.fits: ap = 102, w1 = 3721.555, w2 = 3643.077, dw = -0.04756, nw = 1651 sky.0020.ec.fits: ap = 103, w1 = 3697.558, w2 = 3619.584, dw = -0.04726, nw = 1651 sky.0020.ec.fits: ap = 104, w1 = 3673.869, w2 = 3596.392, dw = -0.04696, nw = 1651 sky.0020.ec.fits: ap = 105, w1 = 3650.482, w2 = 3573.495, dw = -0.04666, nw = 1651 sky.0020.ec.fits: ap = 106, w1 = 3627.391, w2 = 3550.888, dw = -0.04636, nw = 1651 sky.0020.ec.fits: ap = 107, w1 = 3604.59, w2 = 3528.566, dw = -0.04608, nw = 1651 sky.0020.ec.fits: ap = 108, w1 = 3582.076, w2 = 3506.523, dw = -0.04579, nw = 1651 sky.0020.ec.fits: ap = 109, w1 = 3559.841, w2 = 3484.754, dw = -0.04551, nw = 1651 sky.0020.ec.fits: ap = 110, w1 = 3537.88, w2 = 3463.253, dw = -0.04523, nw = 1651 sky.0020.ec.fits: ap = 111, w1 = 3516.19, w2 = 3442.017, dw = -0.04495, nw = 1651 sky.0020.ec.fits: ap = 112, w1 = 3494.765, w2 = 3421.039, dw = -0.04468, nw = 1651 sky.0020.ec.fits: ap = 113, w1 = 3473.599, w2 = 3400.316, dw = -0.04441, nw = 1651 sky.0020.ec.fits: ap = 114, w1 = 3452.689, w2 = 3379.843, dw = -0.04415, nw = 1651 sky.0020.ec.fits: ap = 115, w1 = 3432.029, w2 = 3359.615, dw = -0.04389, nw = 1651 ThAr.0023.ec.fits: REFSPEC1 = 'ThAr.0023.ec 1.' zThAr.0023.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.46, dw = -0.1383, nw = 1651 zThAr.0023.ec.fits: ap = 2, w1 = 10611.46, w2 = 10387.49, dw = -0.13574, nw = 1651 zThAr.0023.ec.fits: ap = 3, w1 = 10418.54, w2 = 10198.64, dw = -0.13327, nw = 1651 zThAr.0023.ec.fits: ap = 4, w1 = 10232.51, w2 = 10016.54, dw = -0.13089, nw = 1651 zThAr.0023.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.829, dw = -0.12859, nw = 1651 zThAr.0023.ec.fits: ap = 6, w1 = 9879.694, w2 = 9671.176, dw = -0.12637, nw = 1651 zThAr.0023.ec.fits: ap = 7, w1 = 9712.255, w2 = 9507.273, dw = -0.12423, nw = 1651 zThAr.0023.ec.fits: ap = 8, w1 = 9550.397, w2 = 9348.834, dw = -0.12216, nw = 1651 zThAr.0023.ec.fits: ap = 9, w1 = 9393.846, w2 = 9195.589, dw = -0.12016, nw = 1651 zThAr.0023.ec.fits: ap = 10, w1 = 9242.345, w2 = 9047.287, dw = -0.11822, nw = 1651 zThAr.0023.ec.fits: ap = 11, w1 = 9095.654, w2 = 8903.694, dw = -0.11634, nw = 1651 zThAr.0023.ec.fits: ap = 12, w1 = 8953.546, w2 = 8764.587, dw = -0.11452, nw = 1651 zThAr.0023.ec.fits: ap = 13, w1 = 8815.811, w2 = 8629.761, dw = -0.11276, nw = 1651 zThAr.0023.ec.fits: ap = 14, w1 = 8682.25, w2 = 8499.021, dw = -0.11105, nw = 1651 zThAr.0023.ec.fits: ap = 15, w1 = 8552.676, w2 = 8372.183, dw = -0.10939, nw = 1651 zThAr.0023.ec.fits: ap = 16, w1 = 8426.912, w2 = 8249.075, dw = -0.10778, nw = 1651 zThAr.0023.ec.fits: ap = 17, w1 = 8304.794, w2 = 8129.536, dw = -0.10622, nw = 1651 zThAr.0023.ec.fits: ap = 18, w1 = 8186.165, w2 = 8013.412, dw = -0.1047, nw = 1651 zThAr.0023.ec.fits: ap = 19, w1 = 8070.877, w2 = 7900.559, dw = -0.10322, nw = 1651 zThAr.0023.ec.fits: ap = 20, w1 = 7958.792, w2 = 7790.841, dw = -0.10179, nw = 1651 zThAr.0023.ec.fits: ap = 21, w1 = 7849.778, w2 = 7684.129, dw = -0.10039, nw = 1651 zThAr.0023.ec.fits: ap = 22, w1 = 7743.71, w2 = 7580.301, dw = -0.09904, nw = 1651 zThAr.0023.ec.fits: ap = 23, w1 = 7640.47, w2 = 7479.242, dw = -0.09771, nw = 1651 zThAr.0023.ec.fits: ap = 24, w1 = 7539.947, w2 = 7380.842, dw = -0.09643, nw = 1651 zThAr.0023.ec.fits: ap = 25, w1 = 7442.036, w2 = 7284.998, dw = -0.09517, nw = 1651 zThAr.0023.ec.fits: ap = 26, w1 = 7346.634, w2 = 7191.612, dw = -0.09395, nw = 1651 zThAr.0023.ec.fits: ap = 27, w1 = 7253.648, w2 = 7100.59, dw = -0.09276, nw = 1651 zThAr.0023.ec.fits: ap = 28, w1 = 7162.987, w2 = 7011.843, dw = -0.0916, nw = 1651 zThAr.0023.ec.fits: ap = 29, w1 = 7074.564, w2 = 6925.288, dw = -0.09047, nw = 1651 zThAr.0023.ec.fits: ap = 30, w1 = 6988.298, w2 = 6840.844, dw = -0.08937, nw = 1651 zThAr.0023.ec.fits: ap = 31, w1 = 6904.11, w2 = 6758.434, dw = -0.08829, nw = 1651 zThAr.0023.ec.fits: ap = 32, w1 = 6821.927, w2 = 6677.987, dw = -0.08724, nw = 1651 zThAr.0023.ec.fits: ap = 33, w1 = 6741.678, w2 = 6599.433, dw = -0.08621, nw = 1651 zThAr.0023.ec.fits: ap = 34, w1 = 6663.295, w2 = 6522.706, dw = -0.08521, nw = 1651 zThAr.0023.ec.fits: ap = 35, w1 = 6586.713, w2 = 6447.742, dw = -0.08423, nw = 1651 zThAr.0023.ec.fits: ap = 36, w1 = 6511.873, w2 = 6374.482, dw = -0.08327, nw = 1651 zThAr.0023.ec.fits: ap = 37, w1 = 6438.714, w2 = 6302.869, dw = -0.08233, nw = 1651 zThAr.0023.ec.fits: ap = 38, w1 = 6367.181, w2 = 6232.847, dw = -0.08141, nw = 1651 zThAr.0023.ec.fits: ap = 39, w1 = 6297.22, w2 = 6164.364, dw = -0.08052, nw = 1651 zThAr.0023.ec.fits: ap = 40, w1 = 6228.78, w2 = 6097.37, dw = -0.07964, nw = 1651 zThAr.0023.ec.fits: ap = 41, w1 = 6161.812, w2 = 6031.817, dw = -0.07878, nw = 1651 zThAr.0023.ec.fits: ap = 42, w1 = 6096.269, w2 = 5967.659, dw = -0.07795, nw = 1651 zThAr.0023.ec.fits: ap = 43, w1 = 6032.105, w2 = 5904.851, dw = -0.07712, nw = 1651 zThAr.0023.ec.fits: ap = 44, w1 = 5969.279, w2 = 5843.352, dw = -0.07632, nw = 1651 zThAr.0023.ec.fits: ap = 45, w1 = 5907.748, w2 = 5783.121, dw = -0.07553, nw = 1651 zThAr.0023.ec.fits: ap = 46, w1 = 5847.473, w2 = 5724.119, dw = -0.07476, nw = 1651 zThAr.0023.ec.fits: ap = 47, w1 = 5788.415, w2 = 5666.309, dw = -0.074, nw = 1651 zThAr.0023.ec.fits: ap = 48, w1 = 5730.539, w2 = 5609.656, dw = -0.07326, nw = 1651 zThAr.0023.ec.fits: ap = 49, w1 = 5673.808, w2 = 5554.124, dw = -0.07254, nw = 1651 zThAr.0023.ec.fits: ap = 50, w1 = 5618.191, w2 = 5499.682, dw = -0.07182, nw = 1651 zThAr.0023.ec.fits: ap = 51, w1 = 5563.653, w2 = 5446.296, dw = -0.07113, nw = 1651 zThAr.0023.ec.fits: ap = 52, w1 = 5510.164, w2 = 5393.938, dw = -0.07044, nw = 1651 zThAr.0023.ec.fits: ap = 53, w1 = 5457.694, w2 = 5342.577, dw = -0.06977, nw = 1651 zThAr.0023.ec.fits: ap = 54, w1 = 5406.214, w2 = 5292.184, dw = -0.06911, nw = 1651 zThAr.0023.ec.fits: ap = 55, w1 = 5355.697, w2 = 5242.734, dw = -0.06846, nw = 1651 zThAr.0023.ec.fits: ap = 56, w1 = 5306.115, w2 = 5194.2, dw = -0.06783, nw = 1651 zThAr.0023.ec.fits: ap = 57, w1 = 5257.442, w2 = 5146.557, dw = -0.0672, nw = 1651 zThAr.0023.ec.fits: ap = 58, w1 = 5209.655, w2 = 5099.779, dw = -0.06659, nw = 1651 zThAr.0023.ec.fits: ap = 59, w1 = 5162.729, w2 = 5053.845, dw = -0.06599, nw = 1651 zThAr.0023.ec.fits: ap = 60, w1 = 5116.642, w2 = 5008.731, dw = -0.0654, nw = 1651 zThAr.0023.ec.fits: ap = 61, w1 = 5071.369, w2 = 4964.416, dw = -0.06482, nw = 1651 zThAr.0023.ec.fits: ap = 62, w1 = 5026.892, w2 = 4920.878, dw = -0.06425, nw = 1651 zThAr.0023.ec.fits: ap = 63, w1 = 4983.188, w2 = 4878.097, dw = -0.06369, nw = 1651 zThAr.0023.ec.fits: ap = 64, w1 = 4940.237, w2 = 4836.054, dw = -0.06314, nw = 1651 zThAr.0023.ec.fits: ap = 65, w1 = 4898.021, w2 = 4794.73, dw = -0.0626, nw = 1651 zThAr.0023.ec.fits: ap = 66, w1 = 4856.521, w2 = 4754.106, dw = -0.06207, nw = 1651 zThAr.0023.ec.fits: ap = 67, w1 = 4815.718, w2 = 4714.166, dw = -0.06155, nw = 1651 zThAr.0023.ec.fits: ap = 68, w1 = 4775.595, w2 = 4674.891, dw = -0.06103, nw = 1651 zThAr.0023.ec.fits: ap = 69, w1 = 4736.136, w2 = 4636.265, dw = -0.06053, nw = 1651 zThAr.0023.ec.fits: ap = 70, w1 = 4697.324, w2 = 4598.272, dw = -0.06003, nw = 1651 zThAr.0023.ec.fits: ap = 71, w1 = 4659.142, w2 = 4560.898, dw = -0.05954, nw = 1651 zThAr.0023.ec.fits: ap = 72, w1 = 4621.577, w2 = 4524.126, dw = -0.05906, nw = 1651 zThAr.0023.ec.fits: ap = 73, w1 = 4584.613, w2 = 4487.943, dw = -0.05859, nw = 1651 zThAr.0023.ec.fits: ap = 74, w1 = 4548.236, w2 = 4452.334, dw = -0.05812, nw = 1651 zThAr.0023.ec.fits: ap = 75, w1 = 4512.432, w2 = 4417.286, dw = -0.05766, nw = 1651 zThAr.0023.ec.fits: ap = 76, w1 = 4477.188, w2 = 4382.786, dw = -0.05721, nw = 1651 zThAr.0023.ec.fits: ap = 77, w1 = 4442.49, w2 = 4348.821, dw = -0.05677, nw = 1651 zThAr.0023.ec.fits: ap = 78, w1 = 4408.326, w2 = 4315.378, dw = -0.05633, nw = 1651 zThAr.0023.ec.fits: ap = 79, w1 = 4374.684, w2 = 4282.447, dw = -0.0559, nw = 1651 zThAr.0023.ec.fits: ap = 80, w1 = 4341.552, w2 = 4250.014, dw = -0.05548, nw = 1651 zThAr.0023.ec.fits: ap = 81, w1 = 4308.918, w2 = 4218.069, dw = -0.05506, nw = 1651 zThAr.0023.ec.fits: ap = 82, w1 = 4276.772, w2 = 4186.601, dw = -0.05465, nw = 1651 zThAr.0023.ec.fits: ap = 83, w1 = 4245.102, w2 = 4155.599, dw = -0.05424, nw = 1651 zThAr.0023.ec.fits: ap = 84, w1 = 4213.898, w2 = 4125.053, dw = -0.05385, nw = 1651 zThAr.0023.ec.fits: ap = 85, w1 = 4183.149, w2 = 4094.953, dw = -0.05345, nw = 1651 zThAr.0023.ec.fits: ap = 86, w1 = 4152.847, w2 = 4065.289, dw = -0.05306, nw = 1651 zThAr.0023.ec.fits: ap = 87, w1 = 4122.98, w2 = 4036.053, dw = -0.05268, nw = 1651 zThAr.0023.ec.fits: ap = 88, w1 = 4093.541, w2 = 4007.234, dw = -0.05231, nw = 1651 zThAr.0023.ec.fits: ap = 89, w1 = 4064.519, w2 = 3978.824, dw = -0.05194, nw = 1651 zThAr.0023.ec.fits: ap = 90, w1 = 4035.906, w2 = 3950.814, dw = -0.05157, nw = 1651 zThAr.0023.ec.fits: ap = 91, w1 = 4007.694, w2 = 3923.196, dw = -0.05121, nw = 1651 zThAr.0023.ec.fits: ap = 92, w1 = 3979.874, w2 = 3895.962, dw = -0.05086, nw = 1651 zThAr.0023.ec.fits: ap = 93, w1 = 3952.437, w2 = 3869.104, dw = -0.05051, nw = 1651 zThAr.0023.ec.fits: ap = 94, w1 = 3925.377, w2 = 3842.613, dw = -0.05016, nw = 1651 zThAr.0023.ec.fits: ap = 95, w1 = 3898.685, w2 = 3816.483, dw = -0.04982, nw = 1651 zThAr.0023.ec.fits: ap = 96, w1 = 3872.354, w2 = 3790.706, dw = -0.04948, nw = 1651 zThAr.0023.ec.fits: ap = 97, w1 = 3846.377, w2 = 3765.276, dw = -0.04915, nw = 1651 zThAr.0023.ec.fits: ap = 98, w1 = 3820.747, w2 = 3740.184, dw = -0.04883, nw = 1651 zThAr.0023.ec.fits: ap = 99, w1 = 3795.456, w2 = 3715.425, dw = -0.0485, nw = 1651 zThAr.0023.ec.fits: ap = 100, w1 = 3770.498, w2 = 3690.992, dw = -0.04819, nw = 1651 zThAr.0023.ec.fits: ap = 101, w1 = 3745.867, w2 = 3666.878, dw = -0.04787, nw = 1651 zThAr.0023.ec.fits: ap = 102, w1 = 3721.555, w2 = 3643.077, dw = -0.04756, nw = 1651 zThAr.0023.ec.fits: ap = 103, w1 = 3697.558, w2 = 3619.584, dw = -0.04726, nw = 1651 zThAr.0023.ec.fits: ap = 104, w1 = 3673.869, w2 = 3596.392, dw = -0.04696, nw = 1651 zThAr.0023.ec.fits: ap = 105, w1 = 3650.482, w2 = 3573.495, dw = -0.04666, nw = 1651 zThAr.0023.ec.fits: ap = 106, w1 = 3627.391, w2 = 3550.888, dw = -0.04636, nw = 1651 zThAr.0023.ec.fits: ap = 107, w1 = 3604.59, w2 = 3528.566, dw = -0.04608, nw = 1651 zThAr.0023.ec.fits: ap = 108, w1 = 3582.076, w2 = 3506.523, dw = -0.04579, nw = 1651 zThAr.0023.ec.fits: ap = 109, w1 = 3559.841, w2 = 3484.754, dw = -0.04551, nw = 1651 zThAr.0023.ec.fits: ap = 110, w1 = 3537.88, w2 = 3463.253, dw = -0.04523, nw = 1651 zThAr.0023.ec.fits: ap = 111, w1 = 3516.19, w2 = 3442.017, dw = -0.04495, nw = 1651 zThAr.0023.ec.fits: ap = 112, w1 = 3494.765, w2 = 3421.039, dw = -0.04468, nw = 1651 zThAr.0023.ec.fits: ap = 113, w1 = 3473.599, w2 = 3400.316, dw = -0.04441, nw = 1651 zThAr.0023.ec.fits: ap = 114, w1 = 3452.689, w2 = 3379.843, dw = -0.04415, nw = 1651 zThAr.0023.ec.fits: ap = 115, w1 = 3432.029, w2 = 3359.615, dw = -0.04389, nw = 1651 ThAr.0024.ec.fits: REFSPEC1 = 'ThAr.0024.ec 1.' zThAr.0024.ec.fits: ap = 1, w1 = 10811.62, w2 = 10583.44, dw = -0.13829, nw = 1651 zThAr.0024.ec.fits: ap = 2, w1 = 10611.42, w2 = 10387.47, dw = -0.13573, nw = 1651 zThAr.0024.ec.fits: ap = 3, w1 = 10418.51, w2 = 10198.62, dw = -0.13327, nw = 1651 zThAr.0024.ec.fits: ap = 4, w1 = 10232.49, w2 = 10016.52, dw = -0.13089, nw = 1651 zThAr.0024.ec.fits: ap = 5, w1 = 10052.99, w2 = 9840.813, dw = -0.12859, nw = 1651 zThAr.0024.ec.fits: ap = 6, w1 = 9879.677, w2 = 9671.161, dw = -0.12637, nw = 1651 zThAr.0024.ec.fits: ap = 7, w1 = 9712.242, w2 = 9507.26, dw = -0.12423, nw = 1651 zThAr.0024.ec.fits: ap = 8, w1 = 9550.387, w2 = 9348.822, dw = -0.12216, nw = 1651 zThAr.0024.ec.fits: ap = 9, w1 = 9393.839, w2 = 9195.578, dw = -0.12016, nw = 1651 zThAr.0024.ec.fits: ap = 10, w1 = 9242.34, w2 = 9047.278, dw = -0.11822, nw = 1651 zThAr.0024.ec.fits: ap = 11, w1 = 9095.651, w2 = 8903.685, dw = -0.11634, nw = 1651 zThAr.0024.ec.fits: ap = 12, w1 = 8953.545, w2 = 8764.58, dw = -0.11452, nw = 1651 zThAr.0024.ec.fits: ap = 13, w1 = 8815.811, w2 = 8629.754, dw = -0.11276, nw = 1651 zThAr.0024.ec.fits: ap = 14, w1 = 8682.251, w2 = 8499.014, dw = -0.11105, nw = 1651 zThAr.0024.ec.fits: ap = 15, w1 = 8552.677, w2 = 8372.176, dw = -0.10939, nw = 1651 zThAr.0024.ec.fits: ap = 16, w1 = 8426.914, w2 = 8249.069, dw = -0.10779, nw = 1651 zThAr.0024.ec.fits: ap = 17, w1 = 8304.797, w2 = 8129.53, dw = -0.10622, nw = 1651 zThAr.0024.ec.fits: ap = 18, w1 = 8186.168, w2 = 8013.406, dw = -0.1047, nw = 1651 zThAr.0024.ec.fits: ap = 19, w1 = 8070.88, w2 = 7900.554, dw = -0.10323, nw = 1651 zThAr.0024.ec.fits: ap = 20, w1 = 7958.795, w2 = 7790.836, dw = -0.10179, nw = 1651 zThAr.0024.ec.fits: ap = 21, w1 = 7849.781, w2 = 7684.124, dw = -0.1004, nw = 1651 zThAr.0024.ec.fits: ap = 22, w1 = 7743.713, w2 = 7580.296, dw = -0.09904, nw = 1651 zThAr.0024.ec.fits: ap = 23, w1 = 7640.473, w2 = 7479.237, dw = -0.09772, nw = 1651 zThAr.0024.ec.fits: ap = 24, w1 = 7539.95, w2 = 7380.837, dw = -0.09643, nw = 1651 zThAr.0024.ec.fits: ap = 25, w1 = 7442.038, w2 = 7284.993, dw = -0.09518, nw = 1651 zThAr.0024.ec.fits: ap = 26, w1 = 7346.636, w2 = 7191.607, dw = -0.09396, nw = 1651 zThAr.0024.ec.fits: ap = 27, w1 = 7253.65, w2 = 7100.584, dw = -0.09277, nw = 1651 zThAr.0024.ec.fits: ap = 28, w1 = 7162.988, w2 = 7011.838, dw = -0.09161, nw = 1651 zThAr.0024.ec.fits: ap = 29, w1 = 7074.565, w2 = 6925.283, dw = -0.09047, nw = 1651 zThAr.0024.ec.fits: ap = 30, w1 = 6988.298, w2 = 6840.838, dw = -0.08937, nw = 1651 zThAr.0024.ec.fits: ap = 31, w1 = 6904.11, w2 = 6758.429, dw = -0.08829, nw = 1651 zThAr.0024.ec.fits: ap = 32, w1 = 6821.927, w2 = 6677.982, dw = -0.08724, nw = 1651 zThAr.0024.ec.fits: ap = 33, w1 = 6741.677, w2 = 6599.428, dw = -0.08621, nw = 1651 zThAr.0024.ec.fits: ap = 34, w1 = 6663.294, w2 = 6522.701, dw = -0.08521, nw = 1651 zThAr.0024.ec.fits: ap = 35, w1 = 6586.712, w2 = 6447.737, dw = -0.08423, nw = 1651 zThAr.0024.ec.fits: ap = 36, w1 = 6511.872, w2 = 6374.478, dw = -0.08327, nw = 1651 zThAr.0024.ec.fits: ap = 37, w1 = 6438.713, w2 = 6302.865, dw = -0.08233, nw = 1651 zThAr.0024.ec.fits: ap = 38, w1 = 6367.18, w2 = 6232.843, dw = -0.08142, nw = 1651 zThAr.0024.ec.fits: ap = 39, w1 = 6297.219, w2 = 6164.36, dw = -0.08052, nw = 1651 zThAr.0024.ec.fits: ap = 40, w1 = 6228.779, w2 = 6097.366, dw = -0.07964, nw = 1651 zThAr.0024.ec.fits: ap = 41, w1 = 6161.811, w2 = 6031.813, dw = -0.07879, nw = 1651 zThAr.0024.ec.fits: ap = 42, w1 = 6096.268, w2 = 5967.655, dw = -0.07795, nw = 1651 zThAr.0024.ec.fits: ap = 43, w1 = 6032.104, w2 = 5904.848, dw = -0.07713, nw = 1651 zThAr.0024.ec.fits: ap = 44, w1 = 5969.278, w2 = 5843.349, dw = -0.07632, nw = 1651 zThAr.0024.ec.fits: ap = 45, w1 = 5907.747, w2 = 5783.118, dw = -0.07553, nw = 1651 zThAr.0024.ec.fits: ap = 46, w1 = 5847.472, w2 = 5724.117, dw = -0.07476, nw = 1651 zThAr.0024.ec.fits: ap = 47, w1 = 5788.415, w2 = 5666.307, dw = -0.074, nw = 1651 zThAr.0024.ec.fits: ap = 48, w1 = 5730.539, w2 = 5609.654, dw = -0.07326, nw = 1651 zThAr.0024.ec.fits: ap = 49, w1 = 5673.809, w2 = 5554.123, dw = -0.07254, nw = 1651 zThAr.0024.ec.fits: ap = 50, w1 = 5618.191, w2 = 5499.681, dw = -0.07182, nw = 1651 zThAr.0024.ec.fits: ap = 51, w1 = 5563.654, w2 = 5446.296, dw = -0.07113, nw = 1651 zThAr.0024.ec.fits: ap = 52, w1 = 5510.166, w2 = 5393.938, dw = -0.07044, nw = 1651 zThAr.0024.ec.fits: ap = 53, w1 = 5457.696, w2 = 5342.577, dw = -0.06977, nw = 1651 zThAr.0024.ec.fits: ap = 54, w1 = 5406.216, w2 = 5292.185, dw = -0.06911, nw = 1651 zThAr.0024.ec.fits: ap = 55, w1 = 5355.699, w2 = 5242.736, dw = -0.06846, nw = 1651 zThAr.0024.ec.fits: ap = 56, w1 = 5306.118, w2 = 5194.202, dw = -0.06783, nw = 1651 zThAr.0024.ec.fits: ap = 57, w1 = 5257.446, w2 = 5146.559, dw = -0.0672, nw = 1651 zThAr.0024.ec.fits: ap = 58, w1 = 5209.659, w2 = 5099.782, dw = -0.06659, nw = 1651 zThAr.0024.ec.fits: ap = 59, w1 = 5162.734, w2 = 5053.848, dw = -0.06599, nw = 1651 zThAr.0024.ec.fits: ap = 60, w1 = 5116.646, w2 = 5008.734, dw = -0.0654, nw = 1651 zThAr.0024.ec.fits: ap = 61, w1 = 5071.374, w2 = 4964.419, dw = -0.06482, nw = 1651 zThAr.0024.ec.fits: ap = 62, w1 = 5026.897, w2 = 4920.882, dw = -0.06425, nw = 1651 zThAr.0024.ec.fits: ap = 63, w1 = 4983.193, w2 = 4878.102, dw = -0.06369, nw = 1651 zThAr.0024.ec.fits: ap = 64, w1 = 4940.242, w2 = 4836.059, dw = -0.06314, nw = 1651 zThAr.0024.ec.fits: ap = 65, w1 = 4898.026, w2 = 4794.735, dw = -0.0626, nw = 1651 zThAr.0024.ec.fits: ap = 66, w1 = 4856.526, w2 = 4754.112, dw = -0.06207, nw = 1651 zThAr.0024.ec.fits: ap = 67, w1 = 4815.723, w2 = 4714.171, dw = -0.06155, nw = 1651 zThAr.0024.ec.fits: ap = 68, w1 = 4775.6, w2 = 4674.897, dw = -0.06103, nw = 1651 zThAr.0024.ec.fits: ap = 69, w1 = 4736.14, w2 = 4636.271, dw = -0.06053, nw = 1651 zThAr.0024.ec.fits: ap = 70, w1 = 4697.327, w2 = 4598.279, dw = -0.06003, nw = 1651 zThAr.0024.ec.fits: ap = 71, w1 = 4659.146, w2 = 4560.904, dw = -0.05954, nw = 1651 zThAr.0024.ec.fits: ap = 72, w1 = 4621.58, w2 = 4524.133, dw = -0.05906, nw = 1651 zThAr.0024.ec.fits: ap = 73, w1 = 4584.615, w2 = 4487.95, dw = -0.05859, nw = 1651 zThAr.0024.ec.fits: ap = 74, w1 = 4548.237, w2 = 4452.341, dw = -0.05812, nw = 1651 zThAr.0024.ec.fits: ap = 75, w1 = 4512.432, w2 = 4417.293, dw = -0.05766, nw = 1651 zThAr.0024.ec.fits: ap = 76, w1 = 4477.187, w2 = 4382.793, dw = -0.05721, nw = 1651 zThAr.0024.ec.fits: ap = 77, w1 = 4442.487, w2 = 4348.827, dw = -0.05676, nw = 1651 zThAr.0024.ec.fits: ap = 78, w1 = 4408.322, w2 = 4315.384, dw = -0.05633, nw = 1651 zThAr.0024.ec.fits: ap = 79, w1 = 4374.678, w2 = 4282.452, dw = -0.05589, nw = 1651 zThAr.0024.ec.fits: ap = 80, w1 = 4341.544, w2 = 4250.019, dw = -0.05547, nw = 1651 zThAr.0024.ec.fits: ap = 81, w1 = 4308.908, w2 = 4218.073, dw = -0.05505, nw = 1651 zThAr.0024.ec.fits: ap = 82, w1 = 4276.759, w2 = 4186.605, dw = -0.05464, nw = 1651 zThAr.0024.ec.fits: ap = 83, w1 = 4245.087, w2 = 4155.602, dw = -0.05423, nw = 1651 zThAr.0024.ec.fits: ap = 84, w1 = 4213.88, w2 = 4125.056, dw = -0.05383, nw = 1651 zThAr.0024.ec.fits: ap = 85, w1 = 4183.129, w2 = 4094.955, dw = -0.05344, nw = 1651 zThAr.0024.ec.fits: ap = 86, w1 = 4152.823, w2 = 4065.291, dw = -0.05305, nw = 1651 zThAr.0024.ec.fits: ap = 87, w1 = 4122.953, w2 = 4036.053, dw = -0.05267, nw = 1651 zThAr.0024.ec.fits: ap = 88, w1 = 4093.51, w2 = 4007.233, dw = -0.05229, nw = 1651 zThAr.0024.ec.fits: ap = 89, w1 = 4064.484, w2 = 3978.822, dw = -0.05192, nw = 1651 zThAr.0024.ec.fits: ap = 90, w1 = 4035.867, w2 = 3950.811, dw = -0.05155, nw = 1651 zThAr.0024.ec.fits: ap = 91, w1 = 4007.65, w2 = 3923.191, dw = -0.05119, nw = 1651 zThAr.0024.ec.fits: ap = 92, w1 = 3979.825, w2 = 3895.956, dw = -0.05083, nw = 1651 zThAr.0024.ec.fits: ap = 93, w1 = 3952.383, w2 = 3869.095, dw = -0.05048, nw = 1651 zThAr.0024.ec.fits: ap = 94, w1 = 3925.318, w2 = 3842.603, dw = -0.05013, nw = 1651 zThAr.0024.ec.fits: ap = 95, w1 = 3898.62, w2 = 3816.471, dw = -0.04979, nw = 1651 zThAr.0024.ec.fits: ap = 96, w1 = 3872.283, w2 = 3790.692, dw = -0.04945, nw = 1651 zThAr.0024.ec.fits: ap = 97, w1 = 3846.299, w2 = 3765.259, dw = -0.04911, nw = 1651 zThAr.0024.ec.fits: ap = 98, w1 = 3820.662, w2 = 3740.165, dw = -0.04879, nw = 1651 zThAr.0024.ec.fits: ap = 99, w1 = 3795.363, w2 = 3715.404, dw = -0.04846, nw = 1651 zThAr.0024.ec.fits: ap = 100, w1 = 3770.398, w2 = 3690.968, dw = -0.04814, nw = 1651 zThAr.0024.ec.fits: ap = 101, w1 = 3745.758, w2 = 3666.851, dw = -0.04782, nw = 1651 zThAr.0024.ec.fits: ap = 102, w1 = 3721.439, w2 = 3643.048, dw = -0.04751, nw = 1651 zThAr.0024.ec.fits: ap = 103, w1 = 3697.433, w2 = 3619.551, dw = -0.0472, nw = 1651 zThAr.0024.ec.fits: ap = 104, w1 = 3673.734, w2 = 3596.356, dw = -0.0469, nw = 1651 zThAr.0024.ec.fits: ap = 105, w1 = 3650.337, w2 = 3573.456, dw = -0.04659, nw = 1651 zThAr.0024.ec.fits: ap = 106, w1 = 3627.236, w2 = 3550.845, dw = -0.0463, nw = 1651 zThAr.0024.ec.fits: ap = 107, w1 = 3604.425, w2 = 3528.519, dw = -0.046, nw = 1651 zThAr.0024.ec.fits: ap = 108, w1 = 3581.899, w2 = 3506.472, dw = -0.04571, nw = 1651 zThAr.0024.ec.fits: ap = 109, w1 = 3559.653, w2 = 3484.699, dw = -0.04543, nw = 1651 zThAr.0024.ec.fits: ap = 110, w1 = 3537.681, w2 = 3463.194, dw = -0.04514, nw = 1651 zThAr.0024.ec.fits: ap = 111, w1 = 3515.978, w2 = 3441.953, dw = -0.04486, nw = 1651 zThAr.0024.ec.fits: ap = 112, w1 = 3494.539, w2 = 3420.971, dw = -0.04459, nw = 1651 zThAr.0024.ec.fits: ap = 113, w1 = 3473.36, w2 = 3400.242, dw = -0.04431, nw = 1651 zThAr.0024.ec.fits: ap = 114, w1 = 3452.436, w2 = 3379.764, dw = -0.04404, nw = 1651 zThAr.0024.ec.fits: ap = 115, w1 = 3431.762, w2 = 3359.53, dw = -0.04378, 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 Singular solution Combining spectra... Nov 30 0:07: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight A0V.0001.ec.fits[ 1] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 2] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 3] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 4] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 5] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 6] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 7] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 8] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 9] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 10] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 11] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 12] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 13] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 14] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 15] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 16] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 17] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 18] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 19] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 20] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 21] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 22] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 23] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 24] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 25] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 26] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 27] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 28] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 29] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 30] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 31] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 32] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 33] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 34] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 35] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 36] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 37] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 38] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 39] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 40] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 41] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 42] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 43] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 44] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 45] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 46] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 47] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 48] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 49] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 50] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 51] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 52] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 53] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 54] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 55] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 56] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 57] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 58] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 59] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 60] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 61] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 62] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 63] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 64] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 65] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 66] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 67] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 68] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 69] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 70] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 71] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 72] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 73] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 74] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 75] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 76] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 77] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 78] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 79] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 80] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 81] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 82] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 83] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 84] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 85] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 86] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 87] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 88] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 89] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 90] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 91] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 92] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 93] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 94] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 95] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 96] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 97] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 98] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[ 99] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[100] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[101] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[102] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[103] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[104] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[105] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[106] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[107] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[108] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[109] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[110] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[111] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[112] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[113] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[114] 30.0 1.000 0. 0.009 A0V.0001.ec.fits[115] 30.0 1.000 0. 0.009 Output image = sumA0V.0001.ec.fits, ncombine = 115, exptime = 3450.056 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:07: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight A0V.0002.ec.fits[ 1] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 2] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 3] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 4] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 5] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 6] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 7] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 8] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 9] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 10] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 11] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 12] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 13] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 14] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 15] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 16] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 17] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 18] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 19] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 20] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 21] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 22] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 23] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 24] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 25] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 26] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 27] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 28] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 29] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 30] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 31] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 32] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 33] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 34] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 35] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 36] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 37] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 38] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 39] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 40] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 41] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 42] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 43] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 44] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 45] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 46] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 47] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 48] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 49] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 50] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 51] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 52] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 53] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 54] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 55] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 56] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 57] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 58] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 59] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 60] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 61] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 62] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 63] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 64] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 65] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 66] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 67] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 68] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 69] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 70] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 71] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 72] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 73] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 74] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 75] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 76] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 77] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 78] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 79] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 80] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 81] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 82] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 83] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 84] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 85] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 86] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 87] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 88] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 89] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 90] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 91] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 92] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 93] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 94] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 95] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 96] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 97] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 98] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[ 99] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[100] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[101] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[102] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[103] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[104] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[105] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[106] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[107] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[108] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[109] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[110] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[111] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[112] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[113] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[114] 180.0 1.000 0. 0.009 A0V.0002.ec.fits[115] 180.0 1.000 0. 0.009 Output image = sumA0V.0002.ec.fits, ncombine = 115, exptime = 20699.98 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:08: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight A0V.0003.ec.fits[ 1] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 2] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 3] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 4] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 5] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 6] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 7] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 8] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 9] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 10] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 11] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 12] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 13] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 14] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 15] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 16] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 17] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 18] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 19] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 20] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 21] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 22] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 23] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 24] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 25] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 26] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 27] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 28] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 29] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 30] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 31] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 32] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 33] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 34] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 35] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 36] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 37] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 38] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 39] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 40] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 41] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 42] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 43] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 44] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 45] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 46] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 47] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 48] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 49] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 50] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 51] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 52] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 53] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 54] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 55] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 56] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 57] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 58] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 59] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 60] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 61] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 62] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 63] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 64] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 65] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 66] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 67] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 68] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 69] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 70] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 71] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 72] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 73] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 74] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 75] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 76] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 77] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 78] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 79] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 80] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 81] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 82] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 83] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 84] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 85] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 86] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 87] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 88] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 89] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 90] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 91] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 92] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 93] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 94] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 95] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 96] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 97] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 98] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[ 99] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[100] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[101] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[102] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[103] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[104] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[105] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[106] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[107] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[108] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[109] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[110] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[111] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[112] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[113] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[114] 180.0 1.000 0. 0.009 A0V.0003.ec.fits[115] 180.0 1.000 0. 0.009 Output image = sumA0V.0003.ec.fits, ncombine = 115, exptime = 20699.98 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:08: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight A0V.0004.ec.fits[ 1] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 2] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 3] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 4] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 5] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 6] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 7] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 8] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 9] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 10] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 11] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 12] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 13] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 14] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 15] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 16] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 17] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 18] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 19] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 20] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 21] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 22] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 23] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 24] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 25] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 26] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 27] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 28] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 29] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 30] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 31] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 32] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 33] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 34] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 35] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 36] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 37] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 38] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 39] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 40] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 41] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 42] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 43] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 44] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 45] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 46] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 47] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 48] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 49] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 50] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 51] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 52] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 53] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 54] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 55] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 56] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 57] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 58] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 59] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 60] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 61] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 62] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 63] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 64] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 65] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 66] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 67] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 68] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 69] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 70] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 71] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 72] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 73] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 74] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 75] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 76] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 77] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 78] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 79] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 80] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 81] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 82] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 83] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 84] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 85] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 86] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 87] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 88] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 89] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 90] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 91] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 92] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 93] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 94] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 95] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 96] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 97] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 98] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[ 99] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[100] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[101] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[102] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[103] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[104] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[105] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[106] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[107] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[108] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[109] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[110] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[111] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[112] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[113] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[114] 180.0 1.000 0. 0.009 A0V.0004.ec.fits[115] 180.0 1.000 0. 0.009 Output image = sumA0V.0004.ec.fits, ncombine = 115, exptime = 20699.98 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:09: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight A0V.0005.ec.fits[ 1] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 2] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 3] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 4] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 5] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 6] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 7] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 8] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 9] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 10] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 11] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 12] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 13] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 14] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 15] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 16] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 17] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 18] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 19] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 20] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 21] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 22] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 23] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 24] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 25] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 26] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 27] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 28] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 29] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 30] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 31] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 32] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 33] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 34] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 35] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 36] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 37] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 38] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 39] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 40] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 41] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 42] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 43] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 44] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 45] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 46] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 47] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 48] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 49] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 50] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 51] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 52] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 53] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 54] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 55] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 56] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 57] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 58] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 59] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 60] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 61] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 62] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 63] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 64] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 65] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 66] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 67] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 68] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 69] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 70] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 71] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 72] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 73] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 74] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 75] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 76] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 77] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 78] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 79] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 80] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 81] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 82] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 83] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 84] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 85] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 86] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 87] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 88] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 89] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 90] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 91] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 92] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 93] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 94] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 95] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 96] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 97] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 98] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[ 99] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[100] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[101] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[102] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[103] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[104] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[105] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[106] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[107] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[108] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[109] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[110] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[111] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[112] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[113] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[114] 180.0 1.000 0. 0.009 A0V.0005.ec.fits[115] 180.0 1.000 0. 0.009 Output image = sumA0V.0005.ec.fits, ncombine = 115, exptime = 20700.02 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:09: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight A0V.0006.ec.fits[ 1] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 2] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 3] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 4] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 5] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 6] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 7] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 8] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 9] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 10] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 11] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 12] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 13] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 14] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 15] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 16] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 17] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 18] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 19] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 20] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 21] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 22] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 23] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 24] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 25] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 26] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 27] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 28] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 29] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 30] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 31] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 32] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 33] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 34] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 35] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 36] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 37] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 38] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 39] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 40] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 41] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 42] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 43] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 44] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 45] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 46] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 47] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 48] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 49] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 50] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 51] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 52] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 53] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 54] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 55] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 56] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 57] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 58] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 59] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 60] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 61] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 62] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 63] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 64] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 65] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 66] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 67] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 68] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 69] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 70] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 71] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 72] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 73] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 74] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 75] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 76] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 77] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 78] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 79] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 80] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 81] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 82] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 83] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 84] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 85] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 86] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 87] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 88] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 89] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 90] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 91] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 92] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 93] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 94] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 95] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 96] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 97] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 98] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[ 99] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[100] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[101] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[102] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[103] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[104] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[105] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[106] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[107] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[108] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[109] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[110] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[111] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[112] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[113] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[114] 180.0 1.000 0. 0.009 A0V.0006.ec.fits[115] 180.0 1.000 0. 0.009 Output image = sumA0V.0006.ec.fits, ncombine = 115, exptime = 20699.98 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:10: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight A0V.0007.ec.fits[ 1] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 2] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 3] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 4] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 5] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 6] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 7] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 8] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 9] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 10] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 11] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 12] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 13] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 14] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 15] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 16] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 17] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 18] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 19] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 20] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 21] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 22] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 23] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 24] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 25] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 26] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 27] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 28] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 29] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 30] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 31] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 32] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 33] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 34] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 35] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 36] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 37] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 38] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 39] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 40] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 41] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 42] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 43] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 44] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 45] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 46] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 47] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 48] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 49] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 50] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 51] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 52] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 53] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 54] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 55] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 56] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 57] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 58] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 59] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 60] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 61] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 62] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 63] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 64] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 65] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 66] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 67] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 68] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 69] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 70] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 71] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 72] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 73] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 74] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 75] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 76] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 77] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 78] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 79] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 80] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 81] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 82] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 83] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 84] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 85] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 86] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 87] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 88] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 89] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 90] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 91] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 92] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 93] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 94] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 95] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 96] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 97] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 98] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[ 99] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[100] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[101] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[102] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[103] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[104] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[105] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[106] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[107] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[108] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[109] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[110] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[111] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[112] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[113] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[114] 120.9 1.000 0. 0.009 A0V.0007.ec.fits[115] 120.9 1.000 0. 0.009 Output image = sumA0V.0007.ec.fits, ncombine = 115, exptime = 13903.74 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:11: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight A0V.0008.ec.fits[ 1] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 2] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 3] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 4] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 5] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 6] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 7] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 8] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 9] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 10] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 11] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 12] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 13] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 14] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 15] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 16] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 17] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 18] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 19] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 20] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 21] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 22] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 23] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 24] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 25] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 26] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 27] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 28] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 29] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 30] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 31] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 32] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 33] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 34] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 35] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 36] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 37] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 38] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 39] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 40] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 41] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 42] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 43] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 44] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 45] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 46] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 47] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 48] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 49] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 50] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 51] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 52] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 53] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 54] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 55] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 56] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 57] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 58] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 59] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 60] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 61] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 62] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 63] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 64] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 65] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 66] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 67] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 68] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 69] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 70] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 71] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 72] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 73] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 74] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 75] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 76] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 77] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 78] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 79] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 80] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 81] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 82] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 83] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 84] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 85] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 86] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 87] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 88] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 89] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 90] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 91] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 92] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 93] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 94] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 95] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 96] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 97] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 98] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[ 99] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[100] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[101] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[102] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[103] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[104] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[105] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[106] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[107] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[108] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[109] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[110] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[111] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[112] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[113] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[114] 120.0 1.000 0. 0.009 A0V.0008.ec.fits[115] 120.0 1.000 0. 0.009 Output image = sumA0V.0008.ec.fits, ncombine = 115, exptime = 13800.03 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:11: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight A0V.0009.ec.fits[ 1] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 2] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 3] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 4] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 5] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 6] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 7] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 8] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 9] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 10] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 11] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 12] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 13] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 14] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 15] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 16] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 17] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 18] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 19] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 20] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 21] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 22] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 23] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 24] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 25] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 26] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 27] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 28] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 29] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 30] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 31] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 32] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 33] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 34] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 35] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 36] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 37] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 38] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 39] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 40] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 41] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 42] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 43] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 44] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 45] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 46] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 47] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 48] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 49] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 50] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 51] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 52] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 53] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 54] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 55] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 56] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 57] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 58] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 59] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 60] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 61] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 62] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 63] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 64] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 65] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 66] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 67] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 68] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 69] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 70] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 71] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 72] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 73] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 74] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 75] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 76] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 77] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 78] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 79] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 80] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 81] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 82] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 83] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 84] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 85] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 86] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 87] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 88] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 89] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 90] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 91] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 92] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 93] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 94] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 95] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 96] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 97] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 98] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[ 99] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[100] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[101] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[102] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[103] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[104] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[105] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[106] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[107] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[108] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[109] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[110] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[111] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[112] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[113] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[114] 120.0 1.000 0. 0.009 A0V.0009.ec.fits[115] 120.0 1.000 0. 0.009 Output image = sumA0V.0009.ec.fits, ncombine = 115, exptime = 13800.01 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:12: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight A0V.0010.ec.fits[ 1] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 2] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 3] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 4] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 5] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 6] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 7] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 8] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 9] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 10] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 11] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 12] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 13] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 14] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 15] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 16] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 17] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 18] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 19] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 20] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 21] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 22] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 23] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 24] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 25] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 26] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 27] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 28] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 29] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 30] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 31] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 32] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 33] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 34] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 35] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 36] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 37] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 38] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 39] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 40] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 41] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 42] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 43] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 44] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 45] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 46] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 47] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 48] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 49] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 50] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 51] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 52] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 53] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 54] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 55] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 56] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 57] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 58] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 59] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 60] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 61] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 62] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 63] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 64] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 65] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 66] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 67] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 68] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 69] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 70] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 71] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 72] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 73] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 74] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 75] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 76] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 77] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 78] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 79] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 80] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 81] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 82] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 83] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 84] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 85] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 86] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 87] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 88] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 89] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 90] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 91] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 92] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 93] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 94] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 95] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 96] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 97] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 98] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[ 99] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[100] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[101] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[102] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[103] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[104] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[105] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[106] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[107] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[108] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[109] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[110] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[111] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[112] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[113] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[114] 8.0 1.000 0. 0.009 A0V.0010.ec.fits[115] 8.0 1.000 0. 0.009 Output image = sumA0V.0010.ec.fits, ncombine = 115, exptime = 919.9995 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:12: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight A0V.0011.ec.fits[ 1] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 2] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 3] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 4] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 5] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 6] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 7] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 8] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 9] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 10] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 11] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 12] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 13] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 14] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 15] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 16] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 17] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 18] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 19] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 20] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 21] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 22] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 23] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 24] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 25] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 26] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 27] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 28] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 29] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 30] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 31] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 32] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 33] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 34] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 35] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 36] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 37] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 38] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 39] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 40] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 41] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 42] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 43] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 44] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 45] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 46] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 47] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 48] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 49] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 50] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 51] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 52] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 53] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 54] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 55] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 56] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 57] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 58] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 59] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 60] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 61] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 62] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 63] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 64] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 65] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 66] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 67] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 68] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 69] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 70] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 71] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 72] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 73] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 74] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 75] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 76] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 77] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 78] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 79] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 80] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 81] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 82] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 83] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 84] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 85] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 86] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 87] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 88] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 89] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 90] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 91] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 92] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 93] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 94] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 95] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 96] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 97] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 98] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[ 99] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[100] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[101] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[102] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[103] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[104] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[105] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[106] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[107] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[108] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[109] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[110] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[111] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[112] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[113] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[114] 180.0 1.000 0. 0.009 A0V.0011.ec.fits[115] 180.0 1.000 0. 0.009 Output image = sumA0V.0011.ec.fits, ncombine = 115, exptime = 20699.93 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:13: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight A0V.0012.ec.fits[ 1] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 2] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 3] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 4] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 5] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 6] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 7] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 8] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 9] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 10] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 11] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 12] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 13] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 14] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 15] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 16] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 17] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 18] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 19] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 20] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 21] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 22] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 23] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 24] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 25] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 26] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 27] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 28] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 29] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 30] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 31] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 32] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 33] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 34] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 35] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 36] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 37] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 38] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 39] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 40] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 41] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 42] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 43] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 44] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 45] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 46] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 47] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 48] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 49] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 50] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 51] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 52] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 53] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 54] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 55] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 56] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 57] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 58] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 59] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 60] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 61] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 62] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 63] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 64] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 65] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 66] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 67] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 68] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 69] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 70] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 71] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 72] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 73] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 74] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 75] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 76] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 77] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 78] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 79] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 80] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 81] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 82] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 83] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 84] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 85] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 86] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 87] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 88] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 89] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 90] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 91] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 92] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 93] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 94] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 95] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 96] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 97] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 98] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[ 99] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[100] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[101] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[102] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[103] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[104] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[105] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[106] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[107] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[108] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[109] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[110] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[111] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[112] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[113] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[114] 180.0 1.000 0. 0.009 A0V.0012.ec.fits[115] 180.0 1.000 0. 0.009 Output image = sumA0V.0012.ec.fits, ncombine = 115, exptime = 20699.98 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:13: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight A0V.0013.ec.fits[ 1] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 2] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 3] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 4] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 5] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 6] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 7] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 8] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 9] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 10] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 11] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 12] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 13] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 14] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 15] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 16] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 17] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 18] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 19] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 20] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 21] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 22] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 23] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 24] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 25] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 26] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 27] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 28] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 29] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 30] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 31] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 32] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 33] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 34] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 35] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 36] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 37] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 38] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 39] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 40] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 41] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 42] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 43] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 44] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 45] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 46] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 47] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 48] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 49] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 50] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 51] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 52] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 53] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 54] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 55] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 56] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 57] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 58] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 59] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 60] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 61] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 62] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 63] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 64] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 65] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 66] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 67] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 68] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 69] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 70] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 71] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 72] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 73] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 74] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 75] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 76] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 77] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 78] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 79] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 80] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 81] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 82] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 83] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 84] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 85] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 86] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 87] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 88] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 89] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 90] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 91] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 92] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 93] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 94] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 95] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 96] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 97] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 98] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[ 99] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[100] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[101] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[102] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[103] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[104] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[105] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[106] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[107] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[108] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[109] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[110] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[111] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[112] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[113] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[114] 180.0 1.000 0. 0.009 A0V.0013.ec.fits[115] 180.0 1.000 0. 0.009 Output image = sumA0V.0013.ec.fits, ncombine = 115, exptime = 20699.98 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:14: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight Venus_day.0014.ec.fits[ 1] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 2] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 3] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 4] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 5] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 6] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 7] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 8] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 9] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 10] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 11] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 12] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 13] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 14] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 15] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 16] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 17] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 18] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 19] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 20] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 21] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 22] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 23] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 24] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 25] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 26] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 27] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 28] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 29] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 30] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 31] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 32] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 33] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 34] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 35] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 36] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 37] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 38] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 39] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 40] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 41] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 42] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 43] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 44] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 45] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 46] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 47] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 48] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 49] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 50] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 51] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 52] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 53] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 54] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 55] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 56] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 57] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 58] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 59] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 60] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 61] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 62] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 63] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 64] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 65] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 66] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 67] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 68] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 69] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 70] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 71] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 72] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 73] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 74] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 75] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 76] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 77] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 78] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 79] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 80] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 81] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 82] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 83] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 84] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 85] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 86] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 87] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 88] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 89] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 90] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 91] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 92] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 93] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 94] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 95] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 96] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 97] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 98] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[ 99] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[100] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[101] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[102] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[103] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[104] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[105] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[106] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[107] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[108] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[109] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[110] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[111] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[112] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[113] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[114] 2.0 1.000 0. 0.009 Venus_day.0014.ec.fits[115] 2.0 1.000 0. 0.009 Output image = sumVenus_day.0014.ec.fits, ncombine = 115, exptime = 230.0912 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:15: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight Venus_day.0015.ec.fits[ 1] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 2] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 3] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 4] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 5] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 6] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 7] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 8] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 9] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 10] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 11] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 12] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 13] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 14] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 15] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 16] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 17] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 18] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 19] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 20] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 21] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 22] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 23] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 24] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 25] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 26] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 27] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 28] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 29] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 30] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 31] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 32] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 33] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 34] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 35] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 36] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 37] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 38] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 39] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 40] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 41] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 42] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 43] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 44] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 45] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 46] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 47] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 48] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 49] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 50] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 51] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 52] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 53] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 54] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 55] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 56] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 57] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 58] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 59] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 60] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 61] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 62] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 63] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 64] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 65] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 66] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 67] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 68] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 69] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 70] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 71] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 72] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 73] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 74] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 75] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 76] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 77] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 78] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 79] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 80] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 81] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 82] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 83] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 84] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 85] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 86] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 87] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 88] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 89] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 90] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 91] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 92] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 93] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 94] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 95] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 96] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 97] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 98] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[ 99] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[100] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[101] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[102] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[103] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[104] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[105] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[106] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[107] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[108] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[109] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[110] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[111] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[112] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[113] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[114] 0.5 1.000 0. 0.009 Venus_day.0015.ec.fits[115] 0.5 1.000 0. 0.009 Output image = sumVenus_day.0015.ec.fits, ncombine = 115, exptime = 57.58952 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:15: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight Venus_day.0016.ec.fits[ 1] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 2] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 3] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 4] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 5] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 6] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 7] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 8] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 9] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 10] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 11] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 12] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 13] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 14] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 15] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 16] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 17] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 18] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 19] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 20] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 21] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 22] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 23] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 24] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 25] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 26] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 27] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 28] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 29] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 30] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 31] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 32] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 33] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 34] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 35] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 36] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 37] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 38] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 39] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 40] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 41] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 42] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 43] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 44] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 45] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 46] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 47] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 48] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 49] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 50] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 51] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 52] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 53] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 54] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 55] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 56] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 57] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 58] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 59] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 60] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 61] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 62] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 63] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 64] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 65] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 66] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 67] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 68] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 69] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 70] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 71] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 72] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 73] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 74] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 75] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 76] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 77] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 78] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 79] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 80] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 81] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 82] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 83] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 84] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 85] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 86] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 87] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 88] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 89] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 90] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 91] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 92] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 93] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 94] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 95] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 96] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 97] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 98] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[ 99] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[100] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[101] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[102] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[103] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[104] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[105] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[106] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[107] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[108] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[109] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[110] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[111] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[112] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[113] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[114] 0.5 1.000 0. 0.009 Venus_day.0016.ec.fits[115] 0.5 1.000 0. 0.009 Output image = sumVenus_day.0016.ec.fits, ncombine = 115, exptime = 57.60045 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:16: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight Venus_day.0017.ec.fits[ 1] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 2] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 3] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 4] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 5] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 6] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 7] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 8] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 9] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 10] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 11] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 12] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 13] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 14] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 15] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 16] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 17] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 18] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 19] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 20] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 21] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 22] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 23] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 24] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 25] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 26] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 27] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 28] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 29] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 30] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 31] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 32] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 33] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 34] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 35] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 36] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 37] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 38] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 39] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 40] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 41] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 42] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 43] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 44] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 45] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 46] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 47] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 48] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 49] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 50] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 51] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 52] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 53] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 54] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 55] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 56] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 57] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 58] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 59] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 60] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 61] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 62] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 63] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 64] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 65] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 66] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 67] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 68] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 69] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 70] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 71] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 72] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 73] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 74] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 75] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 76] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 77] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 78] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 79] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 80] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 81] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 82] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 83] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 84] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 85] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 86] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 87] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 88] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 89] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 90] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 91] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 92] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 93] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 94] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 95] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 96] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 97] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 98] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[ 99] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[100] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[101] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[102] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[103] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[104] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[105] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[106] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[107] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[108] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[109] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[110] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[111] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[112] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[113] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[114] 0.5 1.000 0. 0.009 Venus_day.0017.ec.fits[115] 0.5 1.000 0. 0.009 Output image = sumVenus_day.0017.ec.fits, ncombine = 115, exptime = 57.59794 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:16: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight Venus_day.0021.ec.fits[ 1] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 2] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 3] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 4] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 5] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 6] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 7] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 8] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 9] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 10] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 11] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 12] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 13] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 14] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 15] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 16] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 17] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 18] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 19] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 20] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 21] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 22] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 23] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 24] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 25] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 26] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 27] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 28] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 29] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 30] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 31] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 32] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 33] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 34] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 35] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 36] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 37] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 38] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 39] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 40] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 41] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 42] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 43] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 44] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 45] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 46] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 47] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 48] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 49] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 50] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 51] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 52] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 53] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 54] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 55] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 56] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 57] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 58] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 59] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 60] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 61] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 62] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 63] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 64] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 65] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 66] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 67] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 68] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 69] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 70] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 71] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 72] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 73] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 74] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 75] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 76] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 77] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 78] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 79] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 80] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 81] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 82] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 83] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 84] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 85] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 86] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 87] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 88] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 89] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 90] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 91] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 92] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 93] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 94] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 95] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 96] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 97] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 98] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[ 99] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[100] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[101] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[102] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[103] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[104] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[105] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[106] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[107] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[108] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[109] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[110] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[111] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[112] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[113] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[114] 0.5 1.000 0. 0.009 Venus_day.0021.ec.fits[115] 0.5 1.000 0. 0.009 Output image = sumVenus_day.0021.ec.fits, ncombine = 115, exptime = 57.60704 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:17: 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 = 57.58777 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:17: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight Venus_night.0018.ec.fits[ 1] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 2] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 3] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 4] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 5] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 6] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 7] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 8] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 9] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 10] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 11] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 12] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 13] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 14] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 15] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 16] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 17] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 18] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 19] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 20] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 21] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 22] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 23] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 24] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 25] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 26] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 27] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 28] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 29] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 30] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 31] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 32] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 33] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 34] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 35] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 36] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 37] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 38] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 39] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 40] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 41] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 42] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 43] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 44] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 45] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 46] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 47] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 48] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 49] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 50] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 51] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 52] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 53] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 54] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 55] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 56] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 57] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 58] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 59] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 60] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 61] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 62] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 63] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 64] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 65] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 66] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 67] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 68] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 69] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 70] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 71] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 72] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 73] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 74] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 75] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 76] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 77] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 78] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 79] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 80] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 81] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 82] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 83] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 84] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 85] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 86] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 87] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 88] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 89] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 90] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 91] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 92] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 93] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 94] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 95] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 96] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 97] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 98] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[ 99] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[100] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[101] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[102] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[103] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[104] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[105] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[106] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[107] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[108] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[109] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[110] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[111] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[112] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[113] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[114] 600.0 1.000 0. 0.009 Venus_night.0018.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumVenus_night.0018.ec.fits, ncombine = 115, exptime = 69000.01 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:18: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight Venus_night.0019.ec.fits[ 1] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 2] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 3] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 4] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 5] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 6] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 7] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 8] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 9] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 10] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 11] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 12] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 13] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 14] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 15] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 16] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 17] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 18] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 19] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 20] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 21] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 22] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 23] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 24] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 25] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 26] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 27] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 28] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 29] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 30] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 31] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 32] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 33] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 34] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 35] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 36] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 37] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 38] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 39] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 40] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 41] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 42] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 43] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 44] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 45] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 46] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 47] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 48] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 49] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 50] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 51] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 52] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 53] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 54] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 55] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 56] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 57] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 58] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 59] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 60] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 61] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 62] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 63] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 64] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 65] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 66] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 67] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 68] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 69] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 70] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 71] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 72] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 73] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 74] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 75] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 76] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 77] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 78] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 79] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 80] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 81] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 82] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 83] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 84] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 85] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 86] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 87] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 88] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 89] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 90] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 91] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 92] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 93] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 94] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 95] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 96] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 97] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 98] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[ 99] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[100] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[101] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[102] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[103] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[104] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[105] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[106] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[107] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[108] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[109] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[110] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[111] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[112] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[113] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[114] 401.2 1.000 0. 0.009 Venus_night.0019.ec.fits[115] 401.2 1.000 0. 0.009 Output image = sumVenus_night.0019.ec.fits, ncombine = 115, exptime = 46137.91 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:19: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight sky.0020.ec.fits[ 1] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 2] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 3] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 4] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 5] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 6] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 7] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 8] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 9] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 10] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 11] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 12] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 13] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 14] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 15] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 16] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 17] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 18] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 19] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 20] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 21] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 22] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 23] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 24] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 25] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 26] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 27] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 28] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 29] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 30] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 31] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 32] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 33] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 34] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 35] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 36] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 37] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 38] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 39] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 40] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 41] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 42] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 43] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 44] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 45] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 46] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 47] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 48] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 49] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 50] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 51] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 52] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 53] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 54] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 55] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 56] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 57] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 58] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 59] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 60] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 61] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 62] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 63] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 64] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 65] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 66] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 67] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 68] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 69] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 70] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 71] 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sky.0020.ec.fits[ 95] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 96] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 97] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 98] 30.0 1.000 0. 0.009 sky.0020.ec.fits[ 99] 30.0 1.000 0. 0.009 sky.0020.ec.fits[100] 30.0 1.000 0. 0.009 sky.0020.ec.fits[101] 30.0 1.000 0. 0.009 sky.0020.ec.fits[102] 30.0 1.000 0. 0.009 sky.0020.ec.fits[103] 30.0 1.000 0. 0.009 sky.0020.ec.fits[104] 30.0 1.000 0. 0.009 sky.0020.ec.fits[105] 30.0 1.000 0. 0.009 sky.0020.ec.fits[106] 30.0 1.000 0. 0.009 sky.0020.ec.fits[107] 30.0 1.000 0. 0.009 sky.0020.ec.fits[108] 30.0 1.000 0. 0.009 sky.0020.ec.fits[109] 30.0 1.000 0. 0.009 sky.0020.ec.fits[110] 30.0 1.000 0. 0.009 sky.0020.ec.fits[111] 30.0 1.000 0. 0.009 sky.0020.ec.fits[112] 30.0 1.000 0. 0.009 sky.0020.ec.fits[113] 30.0 1.000 0. 0.009 sky.0020.ec.fits[114] 30.0 1.000 0. 0.009 sky.0020.ec.fits[115] 30.0 1.000 0. 0.009 Output image = sumsky.0020.ec.fits, ncombine = 115, exptime = 3449.944 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:19: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontA0V.0001.ec.fits[ 1] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[ 2] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[ 3] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[ 4] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[ 5] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[ 6] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[ 7] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[ 8] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[ 9] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[ 10] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[ 11] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[ 12] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[ 13] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[ 14] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[ 15] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[ 16] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[ 17] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[ 18] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[ 19] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[ 20] 30.0 1.000 0. 0.009 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fitcontA0V.0001.ec.fits[101] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[102] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[103] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[104] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[105] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[106] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[107] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[108] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[109] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[110] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[111] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[112] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[113] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[114] 30.0 1.000 0. 0.009 fitcontA0V.0001.ec.fits[115] 30.0 1.000 0. 0.009 Output image = sumfitcontA0V.0001.ec.fits, ncombine = 115, exptime = 3450.056 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:20: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontA0V.0002.ec.fits[ 1] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 2] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 3] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 4] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 5] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 6] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 7] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 8] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 9] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 10] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 11] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 12] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 13] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 14] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 15] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 16] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 17] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 18] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 19] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 20] 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180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 61] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 62] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 63] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 64] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 65] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 66] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 67] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 68] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 69] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 70] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 71] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 72] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 73] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 74] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 75] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 76] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 77] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 78] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 79] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[ 80] 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180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[101] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[102] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[103] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[104] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[105] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[106] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[107] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[108] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[109] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[110] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[111] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[112] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[113] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[114] 180.0 1.000 0. 0.009 fitcontA0V.0002.ec.fits[115] 180.0 1.000 0. 0.009 Output image = sumfitcontA0V.0002.ec.fits, ncombine = 115, exptime = 20699.98 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:20: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontA0V.0003.ec.fits[ 1] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 2] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 3] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 4] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 5] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 6] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 7] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 8] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 9] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 10] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 11] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 12] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 13] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 14] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 15] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 16] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 17] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 18] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 19] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 20] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 21] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 22] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 23] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 24] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 25] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 26] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 27] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 28] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 29] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 30] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 31] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 32] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 33] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 34] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 35] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 36] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 37] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 38] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 39] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 40] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 41] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 42] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 43] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 44] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 45] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 46] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 47] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 48] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 49] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 50] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 51] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 52] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 53] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 54] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 55] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 56] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 57] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 58] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 59] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 60] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 61] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 62] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 63] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 64] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 65] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 66] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 67] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 68] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 69] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 70] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 71] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 72] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 73] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 74] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 75] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 76] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 77] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 78] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 79] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 80] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 81] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 82] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 83] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 84] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 85] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 86] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 87] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 88] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 89] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 90] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 91] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 92] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 93] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 94] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 95] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 96] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 97] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 98] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[ 99] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[100] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[101] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[102] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[103] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[104] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[105] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[106] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[107] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[108] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[109] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[110] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[111] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[112] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[113] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[114] 180.0 1.000 0. 0.009 fitcontA0V.0003.ec.fits[115] 180.0 1.000 0. 0.009 Output image = sumfitcontA0V.0003.ec.fits, ncombine = 115, exptime = 20699.98 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:21: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontA0V.0004.ec.fits[ 1] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 2] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 3] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 4] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 5] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 6] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 7] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 8] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 9] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 10] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 11] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 12] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 13] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 14] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 15] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 16] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 17] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 18] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 19] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 20] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 21] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 22] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 23] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 24] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 25] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 26] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 27] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 28] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 29] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 30] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 31] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 32] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 33] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 34] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 35] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 36] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 37] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 38] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 39] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 40] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 41] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 42] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 43] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 44] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 45] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 46] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 47] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 48] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 49] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 50] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 51] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 52] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 53] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 54] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 55] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 56] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 57] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 58] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 59] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 60] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 61] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 62] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 63] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 64] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 65] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 66] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 67] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 68] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 69] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 70] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 71] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 72] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 73] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 74] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 75] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 76] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 77] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 78] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 79] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 80] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 81] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 82] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 83] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 84] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 85] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 86] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 87] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 88] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 89] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 90] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 91] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 92] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 93] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 94] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 95] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 96] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 97] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 98] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[ 99] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[100] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[101] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[102] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[103] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[104] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[105] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[106] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[107] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[108] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[109] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[110] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[111] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[112] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[113] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[114] 180.0 1.000 0. 0.009 fitcontA0V.0004.ec.fits[115] 180.0 1.000 0. 0.009 Output image = sumfitcontA0V.0004.ec.fits, ncombine = 115, exptime = 20699.98 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:21: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontA0V.0005.ec.fits[ 1] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 2] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 3] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 4] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 5] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 6] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 7] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 8] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 9] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 10] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 11] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 12] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 13] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 14] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 15] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 16] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 17] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 18] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 19] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 20] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 21] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 22] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 23] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 24] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 25] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 26] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 27] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 28] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 29] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 30] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 31] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 32] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 33] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 34] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 35] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 36] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 37] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 38] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 39] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 40] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 41] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 42] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 43] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 44] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 45] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 46] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 47] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 48] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 49] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 50] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 51] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 52] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 53] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 54] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 55] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 56] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 57] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 58] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 59] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 60] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 61] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 62] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 63] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 64] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 65] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 66] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 67] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 68] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 69] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 70] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 71] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 72] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 73] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 74] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 75] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 76] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 77] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 78] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 79] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 80] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 81] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 82] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 83] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 84] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 85] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 86] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 87] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 88] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 89] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 90] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 91] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 92] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 93] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 94] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 95] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 96] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 97] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 98] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[ 99] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[100] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[101] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[102] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[103] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[104] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[105] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[106] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[107] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[108] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[109] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[110] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[111] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[112] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[113] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[114] 180.0 1.000 0. 0.009 fitcontA0V.0005.ec.fits[115] 180.0 1.000 0. 0.009 Output image = sumfitcontA0V.0005.ec.fits, ncombine = 115, exptime = 20700.02 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:22: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontA0V.0006.ec.fits[ 1] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 2] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 3] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 4] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 5] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 6] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 7] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 8] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 9] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 10] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 11] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 12] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 13] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 14] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 15] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 16] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 17] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 18] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 19] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 20] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 21] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 22] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 23] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 24] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 25] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 26] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 27] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 28] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 29] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 30] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 31] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 32] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 33] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 34] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 35] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 36] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 37] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 38] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 39] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 40] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 41] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 42] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 43] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 44] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 45] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 46] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 47] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 48] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 49] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 50] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 51] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 52] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 53] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 54] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 55] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 56] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 57] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 58] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 59] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 60] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 61] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 62] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 63] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 64] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 65] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 66] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 67] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 68] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 69] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 70] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 71] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 72] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 73] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 74] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 75] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 76] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 77] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 78] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 79] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 80] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 81] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 82] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 83] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 84] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 85] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 86] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 87] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 88] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 89] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 90] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 91] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 92] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 93] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 94] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 95] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 96] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 97] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 98] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[ 99] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[100] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[101] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[102] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[103] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[104] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[105] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[106] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[107] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[108] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[109] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[110] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[111] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[112] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[113] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[114] 180.0 1.000 0. 0.009 fitcontA0V.0006.ec.fits[115] 180.0 1.000 0. 0.009 Output image = sumfitcontA0V.0006.ec.fits, ncombine = 115, exptime = 20699.98 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:23: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontA0V.0007.ec.fits[ 1] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 2] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 3] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 4] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 5] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 6] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 7] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 8] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 9] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 10] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 11] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 12] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 13] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 14] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 15] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 16] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 17] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 18] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 19] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 20] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 21] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 22] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 23] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 24] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 25] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 26] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 27] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 28] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 29] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 30] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 31] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 32] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 33] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 34] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 35] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 36] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 37] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 38] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 39] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 40] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 41] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 42] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 43] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 44] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 45] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 46] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 47] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 48] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 49] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 50] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 51] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 52] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 53] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 54] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 55] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 56] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 57] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 58] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 59] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 60] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 61] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 62] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 63] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 64] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 65] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 66] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 67] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 68] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 69] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 70] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 71] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 72] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 73] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 74] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 75] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 76] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 77] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 78] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 79] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 80] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 81] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 82] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 83] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 84] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 85] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 86] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 87] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 88] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 89] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 90] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 91] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 92] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 93] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 94] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 95] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 96] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 97] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 98] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[ 99] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[100] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[101] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[102] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[103] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[104] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[105] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[106] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[107] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[108] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[109] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[110] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[111] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[112] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[113] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[114] 120.9 1.000 0. 0.009 fitcontA0V.0007.ec.fits[115] 120.9 1.000 0. 0.009 Output image = sumfitcontA0V.0007.ec.fits, ncombine = 115, exptime = 13903.74 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:23: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontA0V.0008.ec.fits[ 1] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 2] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 3] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 4] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 5] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 6] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 7] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 8] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 9] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 10] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 11] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 12] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 13] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 14] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 15] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 16] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 17] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 18] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 19] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 20] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 21] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 22] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 23] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 24] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 25] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 26] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 27] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 28] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 29] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 30] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 31] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 32] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 33] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 34] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 35] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 36] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 37] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 38] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 39] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 40] 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120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 61] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 62] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 63] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 64] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 65] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 66] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 67] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 68] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 69] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 70] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 71] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 72] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 73] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 74] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 75] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 76] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 77] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 78] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 79] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 80] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 81] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 82] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 83] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 84] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 85] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 86] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 87] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 88] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 89] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 90] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 91] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 92] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 93] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 94] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 95] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 96] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 97] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 98] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[ 99] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[100] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[101] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[102] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[103] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[104] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[105] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[106] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[107] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[108] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[109] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[110] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[111] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[112] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[113] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[114] 120.0 1.000 0. 0.009 fitcontA0V.0008.ec.fits[115] 120.0 1.000 0. 0.009 Output image = sumfitcontA0V.0008.ec.fits, ncombine = 115, exptime = 13800.03 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:24: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontA0V.0009.ec.fits[ 1] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 2] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 3] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 4] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 5] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 6] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 7] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 8] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 9] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 10] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 11] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 12] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 13] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 14] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 15] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 16] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 17] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 18] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 19] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 20] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 21] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 22] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 23] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 24] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 25] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 26] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 27] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 28] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 29] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 30] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 31] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 32] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 33] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 34] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 35] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 36] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 37] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 38] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 39] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 40] 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120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 61] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 62] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 63] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 64] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 65] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 66] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 67] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 68] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 69] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 70] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 71] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 72] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 73] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 74] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 75] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 76] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 77] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 78] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 79] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 80] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 81] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 82] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 83] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 84] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 85] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 86] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 87] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 88] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 89] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 90] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 91] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 92] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 93] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 94] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 95] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 96] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 97] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 98] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[ 99] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[100] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[101] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[102] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[103] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[104] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[105] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[106] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[107] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[108] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[109] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[110] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[111] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[112] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[113] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[114] 120.0 1.000 0. 0.009 fitcontA0V.0009.ec.fits[115] 120.0 1.000 0. 0.009 Output image = sumfitcontA0V.0009.ec.fits, ncombine = 115, exptime = 13800.01 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:24: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontA0V.0010.ec.fits[ 1] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 2] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 3] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 4] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 5] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 6] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 7] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 8] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 9] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 10] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 11] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 12] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 13] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 14] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 15] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 16] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 17] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 18] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 19] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 20] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 21] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 22] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 23] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 24] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 25] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 26] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 27] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 28] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 29] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 30] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 31] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 32] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 33] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 34] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 35] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 36] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 37] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 38] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 39] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 40] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 41] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 42] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 43] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 44] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 45] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 46] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 47] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 48] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 49] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 50] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 51] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 52] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 53] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 54] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 55] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 56] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 57] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 58] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 59] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 60] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 61] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 62] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 63] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 64] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 65] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 66] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 67] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 68] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 69] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 70] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 71] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 72] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 73] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 74] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 75] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 76] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 77] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 78] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 79] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 80] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 81] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 82] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 83] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 84] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 85] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 86] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 87] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 88] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 89] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 90] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 91] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 92] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 93] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 94] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 95] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 96] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 97] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 98] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[ 99] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[100] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[101] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[102] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[103] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[104] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[105] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[106] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[107] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[108] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[109] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[110] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[111] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[112] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[113] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[114] 8.0 1.000 0. 0.009 fitcontA0V.0010.ec.fits[115] 8.0 1.000 0. 0.009 Output image = sumfitcontA0V.0010.ec.fits, ncombine = 115, exptime = 919.9995 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:25: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontA0V.0011.ec.fits[ 1] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 2] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 3] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 4] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 5] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 6] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 7] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 8] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 9] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 10] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 11] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 12] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 13] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 14] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 15] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 16] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 17] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 18] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 19] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 20] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 21] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 22] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 23] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 24] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 25] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 26] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 27] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 28] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 29] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 30] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 31] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 32] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 33] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 34] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 35] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 36] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 37] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 38] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 39] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 40] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 41] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 42] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 43] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 44] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 45] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 46] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 47] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 48] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 49] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 50] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 51] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 52] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 53] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 54] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 55] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 56] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 57] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 58] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 59] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 60] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 61] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 62] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 63] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 64] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 65] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 66] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 67] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 68] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 69] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 70] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 71] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 72] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 73] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 74] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 75] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 76] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 77] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 78] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 79] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 80] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 81] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 82] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 83] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 84] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 85] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 86] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 87] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 88] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 89] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 90] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 91] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 92] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 93] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 94] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 95] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 96] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 97] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 98] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[ 99] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[100] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[101] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[102] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[103] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[104] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[105] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[106] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[107] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[108] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[109] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[110] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[111] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[112] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[113] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[114] 180.0 1.000 0. 0.009 fitcontA0V.0011.ec.fits[115] 180.0 1.000 0. 0.009 Output image = sumfitcontA0V.0011.ec.fits, ncombine = 115, exptime = 20699.93 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:25: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontA0V.0012.ec.fits[ 1] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 2] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 3] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 4] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 5] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 6] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 7] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 8] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 9] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 10] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 11] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 12] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 13] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 14] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 15] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 16] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 17] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 18] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 19] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 20] 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180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 61] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 62] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 63] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 64] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 65] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 66] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 67] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 68] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 69] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 70] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 71] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 72] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 73] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 74] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 75] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 76] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 77] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 78] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 79] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 80] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 81] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 82] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 83] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 84] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 85] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 86] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 87] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 88] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 89] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 90] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 91] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 92] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 93] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 94] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 95] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 96] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 97] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 98] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[ 99] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[100] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[101] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[102] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[103] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[104] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[105] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[106] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[107] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[108] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[109] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[110] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[111] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[112] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[113] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[114] 180.0 1.000 0. 0.009 fitcontA0V.0012.ec.fits[115] 180.0 1.000 0. 0.009 Output image = sumfitcontA0V.0012.ec.fits, ncombine = 115, exptime = 20699.98 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:26: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontA0V.0013.ec.fits[ 1] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 2] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 3] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 4] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 5] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 6] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 7] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 8] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 9] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 10] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 11] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 12] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 13] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 14] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 15] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 16] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 17] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 18] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 19] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 20] 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180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 81] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 82] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 83] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 84] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 85] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 86] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 87] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 88] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 89] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 90] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 91] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 92] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 93] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 94] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 95] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 96] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 97] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 98] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[ 99] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[100] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[101] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[102] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[103] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[104] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[105] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[106] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[107] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[108] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[109] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[110] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[111] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[112] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[113] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[114] 180.0 1.000 0. 0.009 fitcontA0V.0013.ec.fits[115] 180.0 1.000 0. 0.009 Output image = sumfitcontA0V.0013.ec.fits, ncombine = 115, exptime = 20699.98 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:26: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontVenus_day.0014.ec.fits[ 1] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 2] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 3] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 4] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 5] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 6] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 7] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 8] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 9] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 10] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 11] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 12] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 13] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 14] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 15] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 16] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 17] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 18] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 19] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 20] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 21] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 22] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 23] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 24] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 25] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 26] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 27] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 28] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 29] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 30] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 31] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 32] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 33] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 34] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 35] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 36] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 37] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 38] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 39] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 40] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 41] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 42] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 43] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 44] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 45] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 46] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 47] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 48] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 49] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 50] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 51] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 52] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 53] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 54] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 55] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 56] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 57] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 58] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 59] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 60] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 61] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 62] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 63] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 64] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 65] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 66] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 67] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 68] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 69] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 70] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 71] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 72] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 73] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 74] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 75] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 76] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 77] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 78] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 79] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 80] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 81] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 82] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 83] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 84] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 85] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 86] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 87] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 88] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 89] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 90] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 91] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 92] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 93] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 94] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 95] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 96] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 97] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 98] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[ 99] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[100] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[101] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[102] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[103] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[104] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[105] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[106] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[107] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[108] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[109] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[110] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[111] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[112] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[113] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[114] 2.0 1.000 0. 0.009 fitcontVenus_day.0014.ec.fits[115] 2.0 1.000 0. 0.009 Output image = sumfitcontVenus_day.0014.ec.fits, ncombine = 115, exptime = 230.0912 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:27: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontVenus_day.0015.ec.fits[ 1] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 2] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 3] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 4] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 5] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 6] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 7] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 8] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 9] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 10] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 11] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 12] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 13] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 14] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 15] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 16] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 17] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 18] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 19] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 20] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 21] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 22] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 23] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 24] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 25] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 26] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 27] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 28] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 29] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 30] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 31] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 32] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 33] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 34] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 35] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 36] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 37] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 38] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 39] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 40] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 41] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 42] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 43] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 44] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 45] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 46] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 47] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 48] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 49] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 50] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 51] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 52] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 53] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 54] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 55] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 56] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 57] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 58] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 59] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 60] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 61] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 62] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 63] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 64] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 65] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 66] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 67] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 68] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 69] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 70] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 71] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 72] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 73] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 74] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 75] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 76] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 77] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 78] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 79] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 80] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 81] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 82] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 83] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 84] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 85] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 86] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 87] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 88] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 89] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 90] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 91] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 92] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 93] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 94] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 95] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 96] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 97] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 98] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[ 99] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[100] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[101] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[102] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[103] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[104] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[105] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[106] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[107] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[108] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[109] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[110] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[111] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[112] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[113] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[114] 0.5 1.000 0. 0.009 fitcontVenus_day.0015.ec.fits[115] 0.5 1.000 0. 0.009 Output image = sumfitcontVenus_day.0015.ec.fits, ncombine = 115, exptime = 57.58952 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:28: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontVenus_day.0016.ec.fits[ 1] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 2] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 3] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 4] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 5] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 6] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 7] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 8] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 9] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 10] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 11] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 12] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 13] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 14] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 15] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 16] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 17] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 18] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 19] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 20] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 21] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 22] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 23] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 24] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 25] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 26] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 27] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 28] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 29] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 30] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 31] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 32] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 33] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 34] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 35] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 36] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 37] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 38] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 39] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 40] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 41] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 42] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 43] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 44] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 45] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 46] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 47] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 48] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 49] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 50] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 51] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 52] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 53] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 54] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 55] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 56] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 57] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 58] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 59] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 60] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 61] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 62] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 63] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 64] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 65] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 66] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 67] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 68] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 69] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 70] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 71] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 72] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 73] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 74] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 75] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 76] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 77] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 78] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 79] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 80] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 81] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 82] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 83] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 84] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 85] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 86] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 87] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 88] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 89] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 90] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 91] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 92] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 93] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 94] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 95] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 96] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 97] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 98] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[ 99] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[100] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[101] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[102] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[103] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[104] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[105] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[106] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[107] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[108] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[109] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[110] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[111] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[112] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[113] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[114] 0.5 1.000 0. 0.009 fitcontVenus_day.0016.ec.fits[115] 0.5 1.000 0. 0.009 Output image = sumfitcontVenus_day.0016.ec.fits, ncombine = 115, exptime = 57.60045 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:28: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontVenus_day.0017.ec.fits[ 1] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 2] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 3] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 4] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 5] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 6] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 7] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 8] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 9] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 10] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 11] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 12] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 13] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 14] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 15] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 16] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 17] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 18] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 19] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 20] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 21] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 22] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 23] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 24] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 25] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 26] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 27] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 28] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 29] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 30] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 31] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 32] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 33] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 34] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 35] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 36] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 37] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 38] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 39] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 40] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 41] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 42] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 43] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 44] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 45] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 46] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 47] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 48] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 49] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 50] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 51] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 52] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 53] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 54] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 55] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 56] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 57] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 58] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 59] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 60] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 61] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 62] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 63] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 64] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 65] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 66] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 67] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 68] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 69] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 70] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 71] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 72] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 73] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 74] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 75] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 76] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 77] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 78] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 79] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 80] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 81] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 82] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 83] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 84] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 85] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 86] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 87] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 88] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 89] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 90] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 91] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 92] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 93] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 94] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 95] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 96] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 97] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 98] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[ 99] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[100] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[101] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[102] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[103] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[104] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[105] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[106] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[107] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[108] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[109] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[110] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[111] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[112] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[113] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[114] 0.5 1.000 0. 0.009 fitcontVenus_day.0017.ec.fits[115] 0.5 1.000 0. 0.009 Output image = sumfitcontVenus_day.0017.ec.fits, ncombine = 115, exptime = 57.59794 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:29: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontVenus_day.0021.ec.fits[ 1] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 2] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 3] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 4] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 5] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 6] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 7] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 8] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 9] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 10] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 11] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 12] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 13] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 14] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 15] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 16] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 17] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 18] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 19] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 20] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 21] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 22] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 23] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 24] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 25] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 26] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 27] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 28] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 29] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 30] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 31] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 32] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 33] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 34] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 35] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 36] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 37] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 38] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 39] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 40] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 41] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 42] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 43] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 44] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 45] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 46] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 47] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 48] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 49] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 50] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 51] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 52] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 53] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 54] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 55] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 56] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 57] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 58] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 59] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 60] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 61] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 62] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 63] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 64] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 65] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 66] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 67] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 68] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 69] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 70] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 71] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 72] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 73] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 74] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 75] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 76] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 77] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 78] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 79] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 80] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 81] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 82] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 83] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 84] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 85] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 86] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 87] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 88] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 89] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 90] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 91] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 92] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 93] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 94] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 95] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 96] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 97] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 98] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[ 99] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[100] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[101] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[102] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[103] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[104] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[105] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[106] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[107] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[108] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[109] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[110] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[111] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[112] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[113] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[114] 0.5 1.000 0. 0.009 fitcontVenus_day.0021.ec.fits[115] 0.5 1.000 0. 0.009 Output image = sumfitcontVenus_day.0021.ec.fits, ncombine = 115, exptime = 57.60704 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:29: 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 = 57.58777 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:30: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontVenus_night.0018.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[100] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[101] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[102] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[103] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[104] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[105] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[106] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[107] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[108] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[109] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[110] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[111] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[112] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[113] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[114] 600.0 1.000 0. 0.009 fitcontVenus_night.0018.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumfitcontVenus_night.0018.ec.fits, ncombine = 115, exptime = 69000.01 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:30: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontVenus_night.0019.ec.fits[ 1] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 2] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 3] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 4] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 5] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 6] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 7] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 8] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 9] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 10] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 11] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 12] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 13] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 14] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 15] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 16] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 17] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 18] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 19] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 20] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 21] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 22] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 23] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 24] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 25] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 26] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 27] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 28] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 29] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 30] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 31] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 32] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 33] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 34] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 35] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 36] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 37] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 38] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 39] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 40] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 41] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 42] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 43] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 44] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 45] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 46] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 47] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 48] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 49] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 50] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 51] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 52] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 53] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 54] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 55] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 56] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 57] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 58] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 59] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 60] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 61] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 62] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 63] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 64] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 65] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 66] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 67] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 68] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 69] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 70] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 71] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 72] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 73] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 74] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 75] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 76] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 77] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 78] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 79] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 80] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 81] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 82] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 83] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 84] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 85] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 86] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 87] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 88] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 89] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 90] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 91] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 92] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 93] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 94] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 95] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 96] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 97] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 98] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 99] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[100] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[101] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[102] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[103] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[104] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[105] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[106] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[107] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[108] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[109] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[110] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[111] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[112] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[113] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[114] 401.2 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[115] 401.2 1.000 0. 0.009 Output image = sumfitcontVenus_night.0019.ec.fits, ncombine = 115, exptime = 46137.91 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 Nov 30 0:31: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontsky.0020.ec.fits[ 1] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 2] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 3] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 4] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 5] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 6] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 7] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 8] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 9] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 10] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 11] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 12] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 13] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 14] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 15] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 16] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 17] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 18] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 19] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 20] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 21] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 22] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 23] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 24] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 25] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 26] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 27] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 28] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 29] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 30] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 31] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 32] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 33] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 34] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 35] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 36] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 37] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 38] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 39] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 40] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 41] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 42] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 43] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 44] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 45] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 46] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 47] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 48] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 49] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 50] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 51] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 52] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 53] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 54] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 55] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 56] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 57] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 58] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 59] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 60] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 61] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 62] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 63] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 64] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 65] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 66] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 67] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 68] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 69] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 70] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 71] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 72] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 73] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 74] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 75] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 76] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 77] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 78] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 79] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 80] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 81] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 82] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 83] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 84] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 85] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 86] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 87] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 88] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 89] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 90] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 91] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 92] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 93] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 94] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 95] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 96] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 97] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 98] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[ 99] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[100] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[101] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[102] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[103] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[104] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[105] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[106] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[107] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[108] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[109] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[110] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[111] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[112] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[113] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[114] 30.0 1.000 0. 0.009 fitcontsky.0020.ec.fits[115] 30.0 1.000 0. 0.009 Output image = sumfitcontsky.0020.ec.fits, ncombine = 115, exptime = 3449.944 w1 = 3359.615, w2 = 10811.66, dw = 0.04388773, nw = 169799., dtype = 0 fullspecA0V.0001.ec.fits,EXPTIME: 3450.056 -> 30.0004869565 fullspecA0V.0001.ec.fits updated fullspecA0V.0002.ec.fits,EXPTIME: 20699.98 -> 179.999826087 fullspecA0V.0002.ec.fits updated fullspecA0V.0003.ec.fits,EXPTIME: 20699.98 -> 179.999826087 fullspecA0V.0003.ec.fits updated fullspecA0V.0004.ec.fits,EXPTIME: 20699.98 -> 179.999826087 fullspecA0V.0004.ec.fits updated fullspecA0V.0005.ec.fits,EXPTIME: 20700.02 -> 180.000173913 fullspecA0V.0005.ec.fits updated fullspecA0V.0006.ec.fits,EXPTIME: 20699.98 -> 179.999826087 fullspecA0V.0006.ec.fits updated fullspecA0V.0007.ec.fits,EXPTIME: 13903.74 -> 120.902086957 fullspecA0V.0007.ec.fits updated fullspecA0V.0008.ec.fits,EXPTIME: 13800.03 -> 120.00026087 fullspecA0V.0008.ec.fits updated fullspecA0V.0009.ec.fits,EXPTIME: 13800.01 -> 120.000086957 fullspecA0V.0009.ec.fits updated fullspecA0V.0010.ec.fits,EXPTIME: 919.9995 -> 7.99999565217 fullspecA0V.0010.ec.fits updated fullspecA0V.0011.ec.fits,EXPTIME: 20699.93 -> 179.999391304 fullspecA0V.0011.ec.fits updated fullspecA0V.0012.ec.fits,EXPTIME: 20699.98 -> 179.999826087 fullspecA0V.0012.ec.fits updated fullspecA0V.0013.ec.fits,EXPTIME: 20699.98 -> 179.999826087 fullspecA0V.0013.ec.fits updated fullspecVenus_day.0014.ec.fits,EXPTIME: 230.0912 -> 2.00079304348 fullspecVenus_day.0014.ec.fits updated fullspecVenus_day.0015.ec.fits,EXPTIME: 57.58952 -> 0.500778434783 fullspecVenus_day.0015.ec.fits updated fullspecVenus_day.0016.ec.fits,EXPTIME: 57.60045 -> 0.500873478261 fullspecVenus_day.0016.ec.fits updated fullspecVenus_day.0017.ec.fits,EXPTIME: 57.59794 -> 0.500851652174 fullspecVenus_day.0017.ec.fits updated fullspecVenus_day.0021.ec.fits,EXPTIME: 57.60704 -> 0.500930782609 fullspecVenus_day.0021.ec.fits updated fullspecVenus_day.0022.ec.fits,EXPTIME: 57.58777 -> 0.500763217391 fullspecVenus_day.0022.ec.fits updated fullspecVenus_night.0018.ec.fits,EXPTIME: 69000.01 -> 600.000086957 fullspecVenus_night.0018.ec.fits updated fullspecVenus_night.0019.ec.fits,EXPTIME: 46137.91 -> 401.199217391 fullspecVenus_night.0019.ec.fits updated fullspecsky.0020.ec.fits,EXPTIME: 3449.944 -> 29.9995130435 fullspecsky.0020.ec.fits updated ALL DONE! Yay! (=^.^=)