Copying data files and other necessary files Changing to reduced data directory Generating file lists... Setting dispaxis... add Bias.0010.fits,dispaxis = 1 Bias.0010.fits updated add Bias.0011.fits,dispaxis = 1 Bias.0011.fits updated add Bias.0012.fits,dispaxis = 1 Bias.0012.fits updated add Bias.0013.fits,dispaxis = 1 Bias.0013.fits updated add Bias.0014.fits,dispaxis = 1 Bias.0014.fits updated add Flat.0004.fits,dispaxis = 1 Flat.0004.fits updated add Flat.0005.fits,dispaxis = 1 Flat.0005.fits updated add Flat.0006.fits,dispaxis = 1 Flat.0006.fits updated add FlatBlue.0007.fits,dispaxis = 1 FlatBlue.0007.fits updated add FlatBlue.0008.fits,dispaxis = 1 FlatBlue.0008.fits updated add FlatBlue.0009.fits,dispaxis = 1 FlatBlue.0009.fits updated add ThAr.0001.fits,dispaxis = 1 ThAr.0001.fits updated add ThAr.0002.fits,dispaxis = 1 ThAr.0002.fits updated add ThAr.0003.fits,dispaxis = 1 ThAr.0003.fits updated add ThAr.0026.fits,dispaxis = 1 ThAr.0026.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_day.0023.fits,dispaxis = 1 Venus_day.0023.fits updated add Venus_night.0015.fits,dispaxis = 1 Venus_night.0015.fits updated add Venus_night.0016.fits,dispaxis = 1 Venus_night.0016.fits updated add Venus_night.0017.fits,dispaxis = 1 Venus_night.0017.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 Venus_night.0020.fits,dispaxis = 1 Venus_night.0020.fits updated add sky.0024.fits,dispaxis = 1 sky.0024.fits updated add sky.0025.fits,dispaxis = 1 sky.0025.fits updated FIXPIX: image Flat.0004.fits with mask echmask.pl FIXPIX: image Flat.0005.fits with mask echmask.pl FIXPIX: image Flat.0006.fits with mask echmask.pl FIXPIX: image FlatBlue.0007.fits with mask echmask.pl FIXPIX: image FlatBlue.0008.fits with mask echmask.pl FIXPIX: image FlatBlue.0009.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_day.0023.fits with mask echmask.pl FIXPIX: image Venus_night.0015.fits with mask echmask.pl FIXPIX: image Venus_night.0016.fits with mask echmask.pl FIXPIX: image Venus_night.0017.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 Venus_night.0020.fits with mask echmask.pl FIXPIX: image sky.0024.fits with mask echmask.pl FIXPIX: image sky.0025.fits with mask echmask.pl FIXPIX: image ThAr.0001.fits with mask echmask.pl FIXPIX: image ThAr.0002.fits with mask echmask.pl FIXPIX: image ThAr.0003.fits with mask echmask.pl Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. FIXPIX: image ThAr.0026.fits with mask echmask.pl May 17 23:53: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Exp Bias.0010.fits 0.0 Bias.0011.fits 0.0 Bias.0012.fits 1.5 Bias.0013.fits 0.0 Bias.0014.fits 1.0 Output image = bias_fid, ncombine = 5 Calibrating object images and flats (bias, and trimming)... Venus_day.0021.fits: May 17 23:53 Trim data section is [200:1850,1:2048] bias_fid: May 17 23:53 Trim data section is [200:1850,1:2048] Venus_day.0021.fits: May 17 23:53 Zero level correction image is bias_fid Venus_day.0022.fits: May 17 23:53 Trim data section is [200:1850,1:2048] Venus_day.0022.fits: May 17 23:53 Zero level correction image is bias_fid Venus_day.0023.fits: May 17 23:53 Trim data section is [200:1850,1:2048] Venus_day.0023.fits: May 17 23:53 Zero level correction image is bias_fid Venus_night.0015.fits: May 17 23:53 Trim data section is [200:1850,1:2048] Venus_night.0015.fits: May 17 23:53 Zero level correction image is bias_fid Venus_night.0016.fits: May 17 23:53 Trim data section is [200:1850,1:2048] Venus_night.0016.fits: May 17 23:53 Zero level correction image is bias_fid Venus_night.0017.fits: May 17 23:53 Trim data section is [200:1850,1:2048] Venus_night.0017.fits: May 17 23:53 Zero level correction image is bias_fid Venus_night.0018.fits: May 17 23:53 Trim data section is [200:1850,1:2048] Venus_night.0018.fits: May 17 23:53 Zero level correction image is bias_fid Venus_night.0019.fits: May 17 23:53 Trim data section is [200:1850,1:2048] Venus_night.0019.fits: May 17 23:53 Zero level correction image is bias_fid Venus_night.0020.fits: May 17 23:53 Trim data section is [200:1850,1:2048] Venus_night.0020.fits: May 17 23:53 Zero level correction image is bias_fid sky.0024.fits: May 17 23:53 Trim data section is [200:1850,1:2048] sky.0024.fits: May 17 23:53 Zero level correction image is bias_fid sky.0025.fits: May 17 23:53 Trim data section is [200:1850,1:2048] sky.0025.fits: May 17 23:53 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... Flat.0004.fits: May 17 23:53 Trim data section is [200:1850,1:2048] Flat.0004.fits: May 17 23:53 Zero level correction image is bias_fid Flat.0005.fits: May 17 23:53 Trim data section is [200:1850,1:2048] Flat.0005.fits: May 17 23:53 Zero level correction image is bias_fid Flat.0006.fits: May 17 23:53 Trim data section is [200:1850,1:2048] Flat.0006.fits: May 17 23:53 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... FlatBlue.0007.fits: May 17 23:53 Trim data section is [200:1850,1:2048] FlatBlue.0007.fits: May 17 23:53 Zero level correction image is bias_fid FlatBlue.0008.fits: May 17 23:53 Trim data section is [200:1850,1:2048] FlatBlue.0008.fits: May 17 23:53 Zero level correction image is bias_fid FlatBlue.0009.fits: May 17 23:53 Trim data section is [200:1850,1:2048] FlatBlue.0009.fits: May 17 23:53 Zero level correction image is bias_fid Calibrating ThAr arcs... ThAr.0001.fits: May 17 23:53 Trim data section is [200:1850,1:2048] ThAr.0001.fits: May 17 23:53 Zero level correction image is bias_fid ThAr.0002.fits: May 17 23:53 Trim data section is [200:1850,1:2048] ThAr.0002.fits: May 17 23:53 Zero level correction image is bias_fid ThAr.0003.fits: May 17 23:53 Trim data section is [200:1850,1:2048] ThAr.0003.fits: May 17 23:53 Zero level correction image is bias_fid Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. ThAr.0026.fits: May 17 23:53 Trim data section is [200:1850,1:2048] ThAr.0026.fits: May 17 23:53 Zero level correction image is bias_fid Combining red and blue flats into separate fiducial flats... May 17 23:55: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp FlatBlue.0007.fits 200.0 FlatBlue.0008.fits 200.0 FlatBlue.0009.fits 200.0 Output image = flat_blue_mean.fits, ncombine = 3 May 17 23:55: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp Flat.0004.fits 7.0 Flat.0005.fits 7.0 Flat.0006.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... May 17 23:55: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1639. May 17 23:55: TRACE - Trace of aperture 99 in flat_fid_mag recovered at column 1640. May 17 23:55: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1628. May 17 23:55: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1629. May 17 23:55: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1641. May 17 23:55: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1642. May 17 23:55: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1643. May 17 23:55: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1551. May 17 23:55: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1552. May 17 23:55: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1555. May 17 23:55: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1556. May 17 23:55: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1576. May 17 23:55: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1577. May 17 23:55: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1578. May 17 23:55: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 120. May 17 23:55: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 119. May 17 23:55: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 110. May 17 23:55: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 109. May 17 23:55: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1535. May 17 23:55: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1536. May 17 23:55: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1563. May 17 23:55: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1564. May 17 23:55: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1565. May 17 23:55: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1591. May 17 23:55: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1592. May 17 23:55: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1619. May 17 23:55: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1620. May 17 23:55: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1633. May 17 23:55: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1634. May 17 23:55: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1643. May 17 23:55: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1644. May 17 23:55: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1645. May 17 23:55: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 158. May 17 23:55: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 157. May 17 23:55: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1560. May 17 23:55: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1561. May 17 23:55: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1562. May 17 23:55: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 126. May 17 23:55: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 125. May 17 23:55: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1524. May 17 23:55: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1525. May 17 23:55: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1526. May 17 23:55: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1556. May 17 23:55: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1557. May 17 23:55: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1558. May 17 23:55: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 163. May 17 23:55: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 162. May 17 23:55: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 68. May 17 23:55: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 67. May 17 23:55: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1464. May 17 23:55: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1465. May 17 23:55: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1466. May 17 23:55: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1467. May 17 23:55: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1544. May 17 23:55: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1545. May 17 23:55: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1578. May 17 23:55: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1579. May 17 23:55: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1580. May 17 23:55: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1592. May 17 23:55: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1593. May 17 23:55: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1594. May 17 23:55: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1601. May 17 23:55: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1602. May 17 23:55: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1612. May 17 23:55: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1613. May 17 23:55: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1614. May 17 23:55: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1615. May 17 23:55: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1636. May 17 23:55: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1637. May 17 23:55: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1638. May 17 23:55: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 149. May 17 23:55: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 148. May 17 23:55: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 147. May 17 23:55: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1525. May 17 23:55: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1526. May 17 23:55: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1533. May 17 23:55: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1534. May 17 23:55: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1539. May 17 23:55: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1540. May 17 23:55: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1576. May 17 23:55: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1577. May 17 23:55: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1578. May 17 23:55: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 181. May 17 23:55: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 180. May 17 23:55: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 179. May 17 23:55: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 178. May 17 23:55: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 155. May 17 23:55: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 154. May 17 23:55: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 153. May 17 23:55: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 152. May 17 23:55: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 151. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1415. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1416. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1461. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1462. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1463. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1479. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1480. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1481. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1482. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1503. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1504. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1521. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1522. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1523. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1527. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1528. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1529. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1548. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1549. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1554. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1555. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1558. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1559. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1567. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1568. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1569. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 182. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 181. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 176. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 175. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 174. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 173. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 143. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 142. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 141. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 133. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 132. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 131. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 120. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 119. May 17 23:55: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 118. May 17 23:55: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1373. May 17 23:55: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1374. May 17 23:55: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1375. May 17 23:55: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1390. May 17 23:55: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1391. May 17 23:55: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1395. May 17 23:55: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1396. May 17 23:55: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1409. May 17 23:55: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1410. May 17 23:55: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1411. May 17 23:55: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1445. May 17 23:55: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1446. May 17 23:55: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1459. May 17 23:55: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1460. May 17 23:55: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1484. May 17 23:55: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1485. May 17 23:55: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1486. May 17 23:55: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 177. May 17 23:55: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 176. May 17 23:55: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 175. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1365. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1366. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1410. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1411. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1417. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1418. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1436. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1437. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1453. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1454. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1460. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1461. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1462. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1463. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1507. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1508. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1516. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1517. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1518. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1519. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1520. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 238. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 237. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 236. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 233. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 232. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 201. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 200. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 194. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 193. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 184. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 183. May 17 23:55: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 182. May 17 23:55: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1206. May 17 23:55: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1207. May 17 23:55: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1208. May 17 23:55: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 340. May 17 23:55: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 339. May 17 23:55: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 296. May 17 23:55: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 295. May 17 23:55: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 294. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1192. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1193. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1194. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1274. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1275. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1279. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1280. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1307. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1308. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1338. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1339. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1340. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1349. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1350. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1409. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1410. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1418. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1419. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1420. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1421. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1422. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1426. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1427. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1470. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1471. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1472. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1473. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1474. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1478. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1479. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1480. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 273. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 272. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 271. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 261. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 260. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 257. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 256. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 243. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 242. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 211. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 210. May 17 23:55: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 209. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1107. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1108. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1109. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 438. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 437. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 425. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 424. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 397. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 396. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 395. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 378. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 377. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 350. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 349. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 323. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 322. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 321. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 320. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 319. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 301. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 300. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 262. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 261. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 258. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 257. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 252. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 251. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 230. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 229. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 228. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 221. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 220. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 219. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 207. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 206. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 172. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 171. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 147. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 146. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 115. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 114. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 113. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 101. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 100. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 85. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 84. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 83. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 77. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 76. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 73. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 72. May 17 23:55: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 71. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 909. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 910. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1005. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1006. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1200. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1201. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1206. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1207. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1208. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1209. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1215. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1216. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1217. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1220. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1221. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1228. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1229. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1230. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 769. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 768. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 767. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 389. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 388. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 365. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 364. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 349. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 348. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 339. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 338. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 327. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 326. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 302. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 301. May 17 23:55: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 300. May 17 23:55: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 849. May 17 23:55: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 850. May 17 23:55: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 851. May 17 23:55: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 941. May 17 23:55: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 942. May 17 23:55: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1073. May 17 23:55: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1074. May 17 23:55: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1076. May 17 23:55: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1077. May 17 23:55: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1078. May 17 23:55: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 800. May 17 23:55: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 799. May 17 23:55: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 775. May 17 23:55: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 774. May 17 23:55: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 655. May 17 23:55: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 654. May 17 23:55: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 652. May 17 23:55: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 651. May 17 23:55: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 594. May 17 23:55: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 593. May 17 23:55: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 592. 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 = 14.61 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.0001.fits Magnify image ThAr.0001.fits to image ThAr.0001.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.0001.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr.0001.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.0002.fits Magnify image ThAr.0002.fits to image ThAr.0002.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.0002.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr.0002.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.0003.fits Magnify image ThAr.0003.fits to image ThAr.0003.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.0003.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr.0003.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.0026.fits Magnify image ThAr.0026.fits to image ThAr.0026.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.0026.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr.0026.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... 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_day.0023 Magnify image Venus_day.0023 to image Venus_day.0023. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 Venus_day.0023,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] Venus_day.0023 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... Venus_day.0023 -> noscatVenus_day.0023 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.0015 Magnify image Venus_night.0015 to image Venus_night.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_night.0015,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] Venus_night.0015 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... Venus_night.0015 -> noscatVenus_night.0015 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.0016 Magnify image Venus_night.0016 to image Venus_night.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_night.0016,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] Venus_night.0016 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... Venus_night.0016 -> noscatVenus_night.0016 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.0017 Magnify image Venus_night.0017 to image Venus_night.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_night.0017,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] Venus_night.0017 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... Venus_night.0017 -> noscatVenus_night.0017 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... Venus_night.0020 Magnify image Venus_night.0020 to image Venus_night.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 Venus_night.0020,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] Venus_night.0020 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... Venus_night.0020 -> noscatVenus_night.0020 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.0024 Magnify image sky.0024 to image sky.0024. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 sky.0024,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] sky.0024 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... sky.0024 -> noscatsky.0024 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.0025 Magnify image sky.0025 to image sky.0025. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 sky.0025,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] sky.0025 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... sky.0025 -> noscatsky.0025 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. add ThAr.0001.ec.fits,REFSPEC1 = ThAr.0001.ec.fits ThAr.0001.ec.fits updated add ThAr.0002.ec.fits,REFSPEC1 = ThAr.0002.ec.fits ThAr.0002.ec.fits updated add ThAr.0003.ec.fits,REFSPEC1 = ThAr.0003.ec.fits ThAr.0003.ec.fits updated add ThAr.0026.ec.fits,REFSPEC1 = ThAr.0026.ec.fits ThAr.0026.ec.fits updated Flatfielding extracted arcs and object spectra... add ThAr.0001.ec.fits,UTMIDDLE = 0 ThAr.0001.ec.fits updated ThAr.0001.ec.fits,UTMIDDLE: 0 -> 10:43:33.743152 ThAr.0001.ec.fits updated add ThAr.0002.ec.fits,UTMIDDLE = 0 ThAr.0002.ec.fits updated ThAr.0002.ec.fits,UTMIDDLE: 0 -> 10:46:37.327108 ThAr.0002.ec.fits updated add ThAr.0003.ec.fits,UTMIDDLE = 0 ThAr.0003.ec.fits updated ThAr.0003.ec.fits,UTMIDDLE: 0 -> 10:49:40.892062 ThAr.0003.ec.fits updated add ThAr.0026.ec.fits,UTMIDDLE = 0 ThAr.0026.ec.fits updated ThAr.0026.ec.fits,UTMIDDLE: 0 -> 13:31:33.645100 ThAr.0026.ec.fits updated add Venus_day.0021.ec.fits,UTMIDDLE = 0 Venus_day.0021.ec.fits updated Venus_day.0021.ec.fits,UTMIDDLE: 0 -> 13:02:41.410216 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 -> 13:05:16.602249 Venus_day.0022.ec.fits updated add Venus_day.0023.ec.fits,UTMIDDLE = 0 Venus_day.0023.ec.fits updated Venus_day.0023.ec.fits,UTMIDDLE: 0 -> 13:07:51.044251 Venus_day.0023.ec.fits updated add Venus_night.0015.ec.fits,UTMIDDLE = 0 Venus_night.0015.ec.fits updated Venus_night.0015.ec.fits,UTMIDDLE: 0 -> 11:52:07.518582 Venus_night.0015.ec.fits updated add Venus_night.0016.ec.fits,UTMIDDLE = 0 Venus_night.0016.ec.fits updated Venus_night.0016.ec.fits,UTMIDDLE: 0 -> 12:04:43.355036 Venus_night.0016.ec.fits updated add Venus_night.0017.ec.fits,UTMIDDLE = 0 Venus_night.0017.ec.fits updated Venus_night.0017.ec.fits,UTMIDDLE: 0 -> 12:17:16.971086 Venus_night.0017.ec.fits updated add Venus_night.0018.ec.fits,UTMIDDLE = 0 Venus_night.0018.ec.fits updated Venus_night.0018.ec.fits,UTMIDDLE: 0 -> 12:29:51.366760 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 -> 12:42:24.943335 Venus_night.0019.ec.fits updated add Venus_night.0020.ec.fits,UTMIDDLE = 0 Venus_night.0020.ec.fits updated Venus_night.0020.ec.fits,UTMIDDLE: 0 -> 12:54:59.416072 Venus_night.0020.ec.fits updated add sky.0024.ec.fits,UTMIDDLE = 0 sky.0024.ec.fits updated sky.0024.ec.fits,UTMIDDLE: 0 -> 13:16:11.245108 sky.0024.ec.fits updated add sky.0025.ec.fits,UTMIDDLE = 0 sky.0025.ec.fits updated sky.0025.ec.fits,UTMIDDLE: 0 -> 13:25:34.078008 sky.0025.ec.fits updated Setting Julian Date Keywords # Image jd hjd ljd # SETJD: Observatory parameters for Apache Point Observatory # timezone = 7 Venus_day.0021.ec.fits 2459637.04353 2459637.03945 2459636 Venus_day.0022.ec.fits 2459637.04533 2459637.04125 2459636 Venus_day.0023.ec.fits 2459637.04712 2459637.04304 2459636 Venus_night.0015.ec.fits 2459636.99453 2459636.99045 2459636 Venus_night.0016.ec.fits 2459637.00328 2459636.99920 2459636 Venus_night.0017.ec.fits 2459637.01200 2459637.00792 2459636 Venus_night.0018.ec.fits 2459637.02073 2459637.01665 2459636 Venus_night.0019.ec.fits 2459637.02946 2459637.02537 2459636 Venus_night.0020.ec.fits 2459637.03819 2459637.03411 2459636 sky.0024.ec.fits 2459637.05291 2459637.04883 2459636 sky.0025.ec.fits 2459637.05942 2459637.05534 2459636 ECREIDENTIFY: NOAO/IRAF V2.16.1 candaceg@denebola.nmsu.edu Wed 00:04:31 18-May-2022 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS ThAr.0001.ec 1772/2055 1772/1772 -4.24 31.1 5.49E-5 0.0132 ThAr.0002.ec 1841/2055 1841/1841 -4.29 31.5 5.55E-5 0.0118 ThAr.0003.ec 1842/2055 1842/1842 -4.31 31.6 5.58E-5 0.0115 ThAr.0026.ec 1716/2055 1716/1716 -4.19 30.7 5.42E-5 0.013 [Venus_day.0021.ec] refspec1='ThAr.0003.ec 0.17834644' [Venus_day.0021.ec] refspec2='ThAr.0026.ec 0.82165354' [Venus_day.0022.ec] refspec1='ThAr.0003.ec 0.16236827' [Venus_day.0022.ec] refspec2='ThAr.0026.ec 0.83763176' [Venus_day.0023.ec] refspec1='ThAr.0003.ec 0.14646731' [Venus_day.0023.ec] refspec2='ThAr.0026.ec 0.85353267' [Venus_night.0015.ec] refspec1='ThAr.0003.ec 0.61425698' [Venus_night.0015.ec] refspec2='ThAr.0026.ec 0.38574299' [Venus_night.0016.ec] refspec1='ThAr.0003.ec 0.53643805' [Venus_night.0016.ec] refspec2='ThAr.0026.ec 0.46356198' [Venus_night.0017.ec] refspec1='ThAr.0003.ec 0.45884767' [Venus_night.0017.ec] refspec2='ThAr.0026.ec 0.54115236' [Venus_night.0018.ec] refspec1='ThAr.0003.ec 0.38117704' [Venus_night.0018.ec] refspec2='ThAr.0026.ec 0.61882299' [Venus_night.0019.ec] refspec1='ThAr.0003.ec 0.30359071' [Venus_night.0019.ec] refspec2='ThAr.0026.ec 0.69640929' [Venus_night.0020.ec] refspec1='ThAr.0003.ec 0.22591215' [Venus_night.0020.ec] refspec2='ThAr.0026.ec 0.77408785' [sky.0024.ec] refspec1='ThAr.0003.ec 0.094967924' [sky.0024.ec] refspec2='ThAr.0026.ec 0.9050321' [sky.0025.ec] refspec1='ThAr.0003.ec 0.037020102' [sky.0025.ec] refspec2='ThAr.0026.ec 0.96297991' [ThAr.0001.ec] refspec1='ThAr.0001.ec' [ThAr.0002.ec] refspec1='ThAr.0002.ec' [ThAr.0003.ec] refspec1='ThAr.0003.ec' [ThAr.0026.ec] refspec1='ThAr.0026.ec' Venus_day.0021.ec.fits: REFSPEC1 = 'ThAr.0003.ec 0.17834644' Venus_day.0021.ec.fits: REFSPEC2 = 'ThAr.0026.ec 0.82165354' Venus_day.0021.ec.fits: ap = 1, w1 = 10811.14, w2 = 10582.96, dw = -0.13829, nw = 1651 Venus_day.0021.ec.fits: ap = 2, w1 = 10610.96, w2 = 10387., dw = -0.13573, nw = 1651 Venus_day.0021.ec.fits: ap = 3, w1 = 10418.05, w2 = 10198.16, dw = -0.13327, nw = 1651 Venus_day.0021.ec.fits: ap = 4, w1 = 10232.03, w2 = 10016.07, dw = -0.13089, nw = 1651 Venus_day.0021.ec.fits: ap = 5, w1 = 10052.54, w2 = 9840.368, dw = -0.12859, nw = 1651 Venus_day.0021.ec.fits: ap = 6, w1 = 9879.241, w2 = 9670.724, dw = -0.12637, nw = 1651 Venus_day.0021.ec.fits: ap = 7, w1 = 9711.813, w2 = 9506.829, dw = -0.12423, nw = 1651 Venus_day.0021.ec.fits: ap = 8, w1 = 9549.965, w2 = 9348.398, dw = -0.12216, nw = 1651 Venus_day.0021.ec.fits: ap = 9, w1 = 9393.424, w2 = 9195.161, dw = -0.12016, nw = 1651 Venus_day.0021.ec.fits: ap = 10, w1 = 9241.932, w2 = 9046.867, dw = -0.11822, nw = 1651 Venus_day.0021.ec.fits: ap = 11, w1 = 9095.249, w2 = 8903.281, dw = -0.11634, nw = 1651 Venus_day.0021.ec.fits: ap = 12, w1 = 8953.15, w2 = 8764.182, dw = -0.11453, nw = 1651 Venus_day.0021.ec.fits: ap = 13, w1 = 8815.422, w2 = 8629.362, dw = -0.11276, nw = 1651 Venus_day.0021.ec.fits: ap = 14, w1 = 8681.868, w2 = 8498.628, dw = -0.11105, nw = 1651 Venus_day.0021.ec.fits: ap = 15, w1 = 8552.3, w2 = 8371.797, dw = -0.1094, nw = 1651 Venus_day.0021.ec.fits: ap = 16, w1 = 8426.543, w2 = 8248.695, dw = -0.10779, nw = 1651 Venus_day.0021.ec.fits: ap = 17, w1 = 8304.431, w2 = 8129.162, dw = -0.10622, nw = 1651 Venus_day.0021.ec.fits: ap = 18, w1 = 8185.808, w2 = 8013.044, dw = -0.10471, nw = 1651 Venus_day.0021.ec.fits: ap = 19, w1 = 8070.526, w2 = 7900.197, dw = -0.10323, nw = 1651 Venus_day.0021.ec.fits: ap = 20, w1 = 7958.446, w2 = 7790.484, dw = -0.10179, nw = 1651 Venus_day.0021.ec.fits: ap = 21, w1 = 7849.437, w2 = 7683.778, dw = -0.1004, nw = 1651 Venus_day.0021.ec.fits: ap = 22, w1 = 7743.374, w2 = 7579.955, dw = -0.09904, nw = 1651 Venus_day.0021.ec.fits: ap = 23, w1 = 7640.139, w2 = 7478.901, dw = -0.09772, nw = 1651 Venus_day.0021.ec.fits: ap = 24, w1 = 7539.62, w2 = 7380.506, dw = -0.09643, nw = 1651 Venus_day.0021.ec.fits: ap = 25, w1 = 7441.712, w2 = 7284.667, dw = -0.09518, nw = 1651 Venus_day.0021.ec.fits: ap = 26, w1 = 7346.315, w2 = 7191.285, dw = -0.09396, nw = 1651 Venus_day.0021.ec.fits: ap = 27, w1 = 7253.333, w2 = 7100.267, dw = -0.09277, nw = 1651 Venus_day.0021.ec.fits: ap = 28, w1 = 7162.675, w2 = 7011.525, dw = -0.09161, nw = 1651 Venus_day.0021.ec.fits: ap = 29, w1 = 7074.256, w2 = 6924.974, dw = -0.09047, nw = 1651 Venus_day.0021.ec.fits: ap = 30, w1 = 6987.993, w2 = 6840.534, dw = -0.08937, nw = 1651 Venus_day.0021.ec.fits: ap = 31, w1 = 6903.809, w2 = 6758.128, dw = -0.08829, nw = 1651 Venus_day.0021.ec.fits: ap = 32, w1 = 6821.629, w2 = 6677.685, dw = -0.08724, nw = 1651 Venus_day.0021.ec.fits: ap = 33, w1 = 6741.383, w2 = 6599.135, dw = -0.08621, nw = 1651 Venus_day.0021.ec.fits: ap = 34, w1 = 6663.003, w2 = 6522.411, dw = -0.08521, nw = 1651 Venus_day.0021.ec.fits: ap = 35, w1 = 6586.425, w2 = 6447.451, dw = -0.08423, nw = 1651 Venus_day.0021.ec.fits: ap = 36, w1 = 6511.588, w2 = 6374.195, dw = -0.08327, nw = 1651 Venus_day.0021.ec.fits: ap = 37, w1 = 6438.432, w2 = 6302.585, dw = -0.08233, nw = 1651 Venus_day.0021.ec.fits: ap = 38, w1 = 6366.902, w2 = 6232.567, dw = -0.08142, nw = 1651 Venus_day.0021.ec.fits: ap = 39, w1 = 6296.944, w2 = 6164.087, dw = -0.08052, nw = 1651 Venus_day.0021.ec.fits: ap = 40, w1 = 6228.506, w2 = 6097.096, dw = -0.07964, nw = 1651 Venus_day.0021.ec.fits: ap = 41, w1 = 6161.541, w2 = 6031.546, dw = -0.07878, nw = 1651 Venus_day.0021.ec.fits: ap = 42, w1 = 6096.001, w2 = 5967.39, dw = -0.07795, nw = 1651 Venus_day.0021.ec.fits: ap = 43, w1 = 6031.84, w2 = 5904.586, dw = -0.07712, nw = 1651 Venus_day.0021.ec.fits: ap = 44, w1 = 5969.016, w2 = 5843.09, dw = -0.07632, nw = 1651 Venus_day.0021.ec.fits: ap = 45, w1 = 5907.488, w2 = 5782.861, dw = -0.07553, nw = 1651 Venus_day.0021.ec.fits: ap = 46, w1 = 5847.215, w2 = 5723.862, dw = -0.07476, nw = 1651 Venus_day.0021.ec.fits: ap = 47, w1 = 5788.16, w2 = 5666.055, dw = -0.074, nw = 1651 Venus_day.0021.ec.fits: ap = 48, w1 = 5730.286, w2 = 5609.405, dw = -0.07326, nw = 1651 Venus_day.0021.ec.fits: ap = 49, w1 = 5673.558, w2 = 5553.876, dw = -0.07254, nw = 1651 Venus_day.0021.ec.fits: ap = 50, w1 = 5617.943, w2 = 5499.436, dw = -0.07182, nw = 1651 Venus_day.0021.ec.fits: ap = 51, w1 = 5563.408, w2 = 5446.053, dw = -0.07112, nw = 1651 Venus_day.0021.ec.fits: ap = 52, w1 = 5509.921, w2 = 5393.696, dw = -0.07044, nw = 1651 Venus_day.0021.ec.fits: ap = 53, w1 = 5457.454, w2 = 5342.338, dw = -0.06977, nw = 1651 Venus_day.0021.ec.fits: ap = 54, w1 = 5405.976, w2 = 5291.948, dw = -0.06911, nw = 1651 Venus_day.0021.ec.fits: ap = 55, w1 = 5355.461, w2 = 5242.5, dw = -0.06846, nw = 1651 Venus_day.0021.ec.fits: ap = 56, w1 = 5305.882, w2 = 5193.968, dw = -0.06783, nw = 1651 Venus_day.0021.ec.fits: ap = 57, w1 = 5257.212, w2 = 5146.327, dw = -0.0672, nw = 1651 Venus_day.0021.ec.fits: ap = 58, w1 = 5209.427, w2 = 5099.552, dw = -0.06659, nw = 1651 Venus_day.0021.ec.fits: ap = 59, w1 = 5162.503, w2 = 5053.619, dw = -0.06599, nw = 1651 Venus_day.0021.ec.fits: ap = 60, w1 = 5116.418, w2 = 5008.508, dw = -0.0654, nw = 1651 Venus_day.0021.ec.fits: ap = 61, w1 = 5071.148, w2 = 4964.194, dw = -0.06482, nw = 1651 Venus_day.0021.ec.fits: ap = 62, w1 = 5026.672, w2 = 4920.658, dw = -0.06425, nw = 1651 Venus_day.0021.ec.fits: ap = 63, w1 = 4982.971, w2 = 4877.88, dw = -0.06369, nw = 1651 Venus_day.0021.ec.fits: ap = 64, w1 = 4940.022, w2 = 4835.839, dw = -0.06314, nw = 1651 Venus_day.0021.ec.fits: ap = 65, w1 = 4897.808, w2 = 4794.517, dw = -0.0626, nw = 1651 Venus_day.0021.ec.fits: ap = 66, w1 = 4856.31, w2 = 4753.895, dw = -0.06207, nw = 1651 Venus_day.0021.ec.fits: ap = 67, w1 = 4815.509, w2 = 4713.956, dw = -0.06155, nw = 1651 Venus_day.0021.ec.fits: ap = 68, w1 = 4775.389, w2 = 4674.683, dw = -0.06103, nw = 1651 Venus_day.0021.ec.fits: ap = 69, w1 = 4735.931, w2 = 4636.059, dw = -0.06053, nw = 1651 Venus_day.0021.ec.fits: ap = 70, w1 = 4697.121, w2 = 4598.068, dw = -0.06003, nw = 1651 Venus_day.0021.ec.fits: ap = 71, w1 = 4658.942, w2 = 4560.696, dw = -0.05954, nw = 1651 Venus_day.0021.ec.fits: ap = 72, w1 = 4621.379, w2 = 4523.926, dw = -0.05906, nw = 1651 Venus_day.0021.ec.fits: ap = 73, w1 = 4584.416, w2 = 4487.744, dw = -0.05859, nw = 1651 Venus_day.0021.ec.fits: ap = 74, w1 = 4548.041, w2 = 4452.137, dw = -0.05812, nw = 1651 Venus_day.0021.ec.fits: ap = 75, w1 = 4512.239, w2 = 4417.091, dw = -0.05767, nw = 1651 Venus_day.0021.ec.fits: ap = 76, w1 = 4476.996, w2 = 4382.592, dw = -0.05721, nw = 1651 Venus_day.0021.ec.fits: ap = 77, w1 = 4442.3, w2 = 4348.629, dw = -0.05677, nw = 1651 Venus_day.0021.ec.fits: ap = 78, w1 = 4408.138, w2 = 4315.188, dw = -0.05633, nw = 1651 Venus_day.0021.ec.fits: ap = 79, w1 = 4374.497, w2 = 4282.258, dw = -0.0559, nw = 1651 Venus_day.0021.ec.fits: ap = 80, w1 = 4341.366, w2 = 4249.827, dw = -0.05548, nw = 1651 Venus_day.0021.ec.fits: ap = 81, w1 = 4308.734, w2 = 4217.883, dw = -0.05506, nw = 1651 Venus_day.0021.ec.fits: ap = 82, w1 = 4276.589, w2 = 4186.417, dw = -0.05465, nw = 1651 Venus_day.0021.ec.fits: ap = 83, w1 = 4244.92, w2 = 4155.416, dw = -0.05424, nw = 1651 Venus_day.0021.ec.fits: ap = 84, w1 = 4213.717, w2 = 4124.872, dw = -0.05385, nw = 1651 Venus_day.0021.ec.fits: ap = 85, w1 = 4182.969, w2 = 4094.774, dw = -0.05345, nw = 1651 Venus_day.0021.ec.fits: ap = 86, w1 = 4152.668, w2 = 4065.112, dw = -0.05306, nw = 1651 Venus_day.0021.ec.fits: ap = 87, w1 = 4122.802, w2 = 4035.877, dw = -0.05268, nw = 1651 Venus_day.0021.ec.fits: ap = 88, w1 = 4093.363, w2 = 4007.059, dw = -0.05231, nw = 1651 Venus_day.0021.ec.fits: ap = 89, w1 = 4064.342, w2 = 3978.651, dw = -0.05193, nw = 1651 Venus_day.0021.ec.fits: ap = 90, w1 = 4035.73, w2 = 3950.643, dw = -0.05157, nw = 1651 Venus_day.0021.ec.fits: ap = 91, w1 = 4007.518, w2 = 3923.027, dw = -0.05121, nw = 1651 Venus_day.0021.ec.fits: ap = 92, w1 = 3979.698, w2 = 3895.794, dw = -0.05085, nw = 1651 Venus_day.0021.ec.fits: ap = 93, w1 = 3952.262, w2 = 3868.937, dw = -0.0505, nw = 1651 Venus_day.0021.ec.fits: ap = 94, w1 = 3925.202, w2 = 3842.448, dw = -0.05015, nw = 1651 Venus_day.0021.ec.fits: ap = 95, w1 = 3898.51, w2 = 3816.32, dw = -0.04981, nw = 1651 Venus_day.0021.ec.fits: ap = 96, w1 = 3872.179, w2 = 3790.544, dw = -0.04948, nw = 1651 Venus_day.0021.ec.fits: ap = 97, w1 = 3846.202, w2 = 3765.115, dw = -0.04914, nw = 1651 Venus_day.0021.ec.fits: ap = 98, w1 = 3820.571, w2 = 3740.025, dw = -0.04882, nw = 1651 Venus_day.0021.ec.fits: ap = 99, w1 = 3795.279, w2 = 3715.268, dw = -0.04849, nw = 1651 Venus_day.0021.ec.fits: ap = 100, w1 = 3770.32, w2 = 3690.836, dw = -0.04817, nw = 1651 Venus_day.0021.ec.fits: ap = 101, w1 = 3745.688, w2 = 3666.724, dw = -0.04786, nw = 1651 Venus_day.0021.ec.fits: ap = 102, w1 = 3721.376, w2 = 3642.925, dw = -0.04755, nw = 1651 Venus_day.0021.ec.fits: ap = 103, w1 = 3697.378, w2 = 3619.433, dw = -0.04724, nw = 1651 Venus_day.0021.ec.fits: ap = 104, w1 = 3673.687, w2 = 3596.242, dw = -0.04694, nw = 1651 Venus_day.0021.ec.fits: ap = 105, w1 = 3650.298, w2 = 3573.347, dw = -0.04664, nw = 1651 Venus_day.0021.ec.fits: ap = 106, w1 = 3627.206, w2 = 3550.742, dw = -0.04634, nw = 1651 Venus_day.0021.ec.fits: ap = 107, w1 = 3604.404, w2 = 3528.422, dw = -0.04605, nw = 1651 Venus_day.0021.ec.fits: ap = 108, w1 = 3581.887, w2 = 3506.38, dw = -0.04576, nw = 1651 Venus_day.0021.ec.fits: ap = 109, w1 = 3559.649, w2 = 3484.612, dw = -0.04548, nw = 1651 Venus_day.0021.ec.fits: ap = 110, w1 = 3537.687, w2 = 3463.114, dw = -0.0452, nw = 1651 Venus_day.0021.ec.fits: ap = 111, w1 = 3515.994, w2 = 3441.879, dw = -0.04492, nw = 1651 Venus_day.0021.ec.fits: ap = 112, w1 = 3494.566, w2 = 3420.903, dw = -0.04464, nw = 1651 Venus_day.0021.ec.fits: ap = 113, w1 = 3473.397, w2 = 3400.181, dw = -0.04437, nw = 1651 Venus_day.0021.ec.fits: ap = 114, w1 = 3452.484, w2 = 3379.71, dw = -0.04411, nw = 1651 Venus_day.0021.ec.fits: ap = 115, w1 = 3431.821, w2 = 3359.483, dw = -0.04384, nw = 1651 Venus_day.0022.ec.fits: REFSPEC1 = 'ThAr.0003.ec 0.16236827' Venus_day.0022.ec.fits: REFSPEC2 = 'ThAr.0026.ec 0.83763176' Venus_day.0022.ec.fits: ap = 1, w1 = 10811.14, w2 = 10582.96, dw = -0.13829, nw = 1651 Venus_day.0022.ec.fits: ap = 2, w1 = 10610.96, w2 = 10387., dw = -0.13573, nw = 1651 Venus_day.0022.ec.fits: ap = 3, w1 = 10418.05, w2 = 10198.16, dw = -0.13327, nw = 1651 Venus_day.0022.ec.fits: ap = 4, w1 = 10232.03, w2 = 10016.07, dw = -0.13089, nw = 1651 Venus_day.0022.ec.fits: ap = 5, w1 = 10052.54, w2 = 9840.369, dw = -0.12859, nw = 1651 Venus_day.0022.ec.fits: ap = 6, w1 = 9879.241, w2 = 9670.724, dw = -0.12637, nw = 1651 Venus_day.0022.ec.fits: ap = 7, w1 = 9711.813, w2 = 9506.829, dw = -0.12423, nw = 1651 Venus_day.0022.ec.fits: ap = 8, w1 = 9549.965, w2 = 9348.398, dw = -0.12216, nw = 1651 Venus_day.0022.ec.fits: ap = 9, w1 = 9393.424, w2 = 9195.161, dw = -0.12016, nw = 1651 Venus_day.0022.ec.fits: ap = 10, w1 = 9241.932, w2 = 9046.867, dw = -0.11822, nw = 1651 Venus_day.0022.ec.fits: ap = 11, w1 = 9095.249, w2 = 8903.281, dw = -0.11634, nw = 1651 Venus_day.0022.ec.fits: ap = 12, w1 = 8953.15, w2 = 8764.182, dw = -0.11453, nw = 1651 Venus_day.0022.ec.fits: ap = 13, w1 = 8815.422, w2 = 8629.362, dw = -0.11276, nw = 1651 Venus_day.0022.ec.fits: ap = 14, w1 = 8681.868, w2 = 8498.628, dw = -0.11105, nw = 1651 Venus_day.0022.ec.fits: ap = 15, w1 = 8552.3, w2 = 8371.797, dw = -0.1094, nw = 1651 Venus_day.0022.ec.fits: ap = 16, w1 = 8426.543, w2 = 8248.695, dw = -0.10779, nw = 1651 Venus_day.0022.ec.fits: ap = 17, w1 = 8304.431, w2 = 8129.162, dw = -0.10622, nw = 1651 Venus_day.0022.ec.fits: ap = 18, w1 = 8185.808, w2 = 8013.044, dw = -0.10471, nw = 1651 Venus_day.0022.ec.fits: ap = 19, w1 = 8070.526, w2 = 7900.197, dw = -0.10323, nw = 1651 Venus_day.0022.ec.fits: ap = 20, w1 = 7958.446, w2 = 7790.485, dw = -0.10179, nw = 1651 Venus_day.0022.ec.fits: ap = 21, w1 = 7849.437, w2 = 7683.778, dw = -0.1004, nw = 1651 Venus_day.0022.ec.fits: ap = 22, w1 = 7743.374, w2 = 7579.955, dw = -0.09904, nw = 1651 Venus_day.0022.ec.fits: ap = 23, w1 = 7640.139, w2 = 7478.901, dw = -0.09772, nw = 1651 Venus_day.0022.ec.fits: ap = 24, w1 = 7539.62, w2 = 7380.506, dw = -0.09643, nw = 1651 Venus_day.0022.ec.fits: ap = 25, w1 = 7441.713, w2 = 7284.667, dw = -0.09518, nw = 1651 Venus_day.0022.ec.fits: ap = 26, w1 = 7346.315, w2 = 7191.285, dw = -0.09396, nw = 1651 Venus_day.0022.ec.fits: ap = 27, w1 = 7253.333, w2 = 7100.267, dw = -0.09277, nw = 1651 Venus_day.0022.ec.fits: ap = 28, w1 = 7162.675, w2 = 7011.525, dw = -0.09161, nw = 1651 Venus_day.0022.ec.fits: ap = 29, w1 = 7074.256, w2 = 6924.974, dw = -0.09047, nw = 1651 Venus_day.0022.ec.fits: ap = 30, w1 = 6987.993, w2 = 6840.534, dw = -0.08937, nw = 1651 Venus_day.0022.ec.fits: ap = 31, w1 = 6903.809, w2 = 6758.129, dw = -0.08829, nw = 1651 Venus_day.0022.ec.fits: ap = 32, w1 = 6821.63, w2 = 6677.685, dw = -0.08724, nw = 1651 Venus_day.0022.ec.fits: ap = 33, w1 = 6741.383, w2 = 6599.135, dw = -0.08621, nw = 1651 Venus_day.0022.ec.fits: ap = 34, w1 = 6663.004, w2 = 6522.411, dw = -0.08521, nw = 1651 Venus_day.0022.ec.fits: ap = 35, w1 = 6586.425, w2 = 6447.451, dw = -0.08423, nw = 1651 Venus_day.0022.ec.fits: ap = 36, w1 = 6511.588, w2 = 6374.195, dw = -0.08327, nw = 1651 Venus_day.0022.ec.fits: ap = 37, w1 = 6438.432, w2 = 6302.585, dw = -0.08233, nw = 1651 Venus_day.0022.ec.fits: ap = 38, w1 = 6366.902, w2 = 6232.567, dw = -0.08142, nw = 1651 Venus_day.0022.ec.fits: ap = 39, w1 = 6296.944, w2 = 6164.087, dw = -0.08052, nw = 1651 Venus_day.0022.ec.fits: ap = 40, w1 = 6228.507, w2 = 6097.096, dw = -0.07964, nw = 1651 Venus_day.0022.ec.fits: ap = 41, w1 = 6161.541, w2 = 6031.546, dw = -0.07878, nw = 1651 Venus_day.0022.ec.fits: ap = 42, w1 = 6096.001, w2 = 5967.391, dw = -0.07795, nw = 1651 Venus_day.0022.ec.fits: ap = 43, w1 = 6031.84, w2 = 5904.586, dw = -0.07712, nw = 1651 Venus_day.0022.ec.fits: ap = 44, w1 = 5969.016, w2 = 5843.09, dw = -0.07632, nw = 1651 Venus_day.0022.ec.fits: ap = 45, w1 = 5907.488, w2 = 5782.861, dw = -0.07553, nw = 1651 Venus_day.0022.ec.fits: ap = 46, w1 = 5847.215, w2 = 5723.862, dw = -0.07476, nw = 1651 Venus_day.0022.ec.fits: ap = 47, w1 = 5788.16, w2 = 5666.055, dw = -0.074, nw = 1651 Venus_day.0022.ec.fits: ap = 48, w1 = 5730.286, w2 = 5609.405, dw = -0.07326, nw = 1651 Venus_day.0022.ec.fits: ap = 49, w1 = 5673.558, w2 = 5553.876, dw = -0.07254, nw = 1651 Venus_day.0022.ec.fits: ap = 50, w1 = 5617.943, w2 = 5499.436, dw = -0.07182, nw = 1651 Venus_day.0022.ec.fits: ap = 51, w1 = 5563.408, w2 = 5446.053, dw = -0.07112, nw = 1651 Venus_day.0022.ec.fits: ap = 52, w1 = 5509.921, w2 = 5393.697, dw = -0.07044, nw = 1651 Venus_day.0022.ec.fits: ap = 53, w1 = 5457.454, w2 = 5342.338, dw = -0.06977, nw = 1651 Venus_day.0022.ec.fits: ap = 54, w1 = 5405.976, w2 = 5291.948, dw = -0.06911, nw = 1651 Venus_day.0022.ec.fits: ap = 55, w1 = 5355.461, w2 = 5242.5, dw = -0.06846, nw = 1651 Venus_day.0022.ec.fits: ap = 56, w1 = 5305.882, w2 = 5193.968, dw = -0.06783, nw = 1651 Venus_day.0022.ec.fits: ap = 57, w1 = 5257.212, w2 = 5146.327, dw = -0.0672, nw = 1651 Venus_day.0022.ec.fits: ap = 58, w1 = 5209.427, w2 = 5099.552, dw = -0.06659, nw = 1651 Venus_day.0022.ec.fits: ap = 59, w1 = 5162.503, w2 = 5053.619, dw = -0.06599, nw = 1651 Venus_day.0022.ec.fits: ap = 60, w1 = 5116.418, w2 = 5008.508, dw = -0.0654, nw = 1651 Venus_day.0022.ec.fits: ap = 61, w1 = 5071.148, w2 = 4964.194, dw = -0.06482, nw = 1651 Venus_day.0022.ec.fits: ap = 62, w1 = 5026.672, w2 = 4920.658, dw = -0.06425, nw = 1651 Venus_day.0022.ec.fits: ap = 63, w1 = 4982.971, w2 = 4877.88, dw = -0.06369, nw = 1651 Venus_day.0022.ec.fits: ap = 64, w1 = 4940.022, w2 = 4835.839, dw = -0.06314, nw = 1651 Venus_day.0022.ec.fits: ap = 65, w1 = 4897.808, w2 = 4794.517, dw = -0.0626, nw = 1651 Venus_day.0022.ec.fits: ap = 66, w1 = 4856.31, w2 = 4753.895, dw = -0.06207, nw = 1651 Venus_day.0022.ec.fits: ap = 67, w1 = 4815.509, w2 = 4713.956, dw = -0.06155, nw = 1651 Venus_day.0022.ec.fits: ap = 68, w1 = 4775.389, w2 = 4674.683, dw = -0.06103, nw = 1651 Venus_day.0022.ec.fits: ap = 69, w1 = 4735.931, w2 = 4636.059, dw = -0.06053, nw = 1651 Venus_day.0022.ec.fits: ap = 70, w1 = 4697.121, w2 = 4598.068, dw = -0.06003, nw = 1651 Venus_day.0022.ec.fits: ap = 71, w1 = 4658.942, w2 = 4560.696, dw = -0.05954, nw = 1651 Venus_day.0022.ec.fits: ap = 72, w1 = 4621.379, w2 = 4523.926, dw = -0.05906, nw = 1651 Venus_day.0022.ec.fits: ap = 73, w1 = 4584.417, w2 = 4487.744, dw = -0.05859, nw = 1651 Venus_day.0022.ec.fits: ap = 74, w1 = 4548.041, w2 = 4452.137, dw = -0.05812, nw = 1651 Venus_day.0022.ec.fits: ap = 75, w1 = 4512.239, w2 = 4417.091, dw = -0.05767, nw = 1651 Venus_day.0022.ec.fits: ap = 76, w1 = 4476.996, w2 = 4382.592, dw = -0.05721, nw = 1651 Venus_day.0022.ec.fits: ap = 77, w1 = 4442.3, w2 = 4348.629, dw = -0.05677, nw = 1651 Venus_day.0022.ec.fits: ap = 78, w1 = 4408.138, w2 = 4315.188, dw = -0.05633, nw = 1651 Venus_day.0022.ec.fits: ap = 79, w1 = 4374.497, w2 = 4282.258, dw = -0.0559, nw = 1651 Venus_day.0022.ec.fits: ap = 80, w1 = 4341.367, w2 = 4249.827, dw = -0.05548, nw = 1651 Venus_day.0022.ec.fits: ap = 81, w1 = 4308.734, w2 = 4217.883, dw = -0.05506, nw = 1651 Venus_day.0022.ec.fits: ap = 82, w1 = 4276.589, w2 = 4186.417, dw = -0.05465, nw = 1651 Venus_day.0022.ec.fits: ap = 83, w1 = 4244.92, w2 = 4155.416, dw = -0.05424, nw = 1651 Venus_day.0022.ec.fits: ap = 84, w1 = 4213.717, w2 = 4124.872, dw = -0.05385, nw = 1651 Venus_day.0022.ec.fits: ap = 85, w1 = 4182.97, w2 = 4094.774, dw = -0.05345, nw = 1651 Venus_day.0022.ec.fits: ap = 86, w1 = 4152.668, w2 = 4065.112, dw = -0.05306, nw = 1651 Venus_day.0022.ec.fits: ap = 87, w1 = 4122.803, w2 = 4035.877, dw = -0.05268, nw = 1651 Venus_day.0022.ec.fits: ap = 88, w1 = 4093.364, w2 = 4007.06, dw = -0.05231, nw = 1651 Venus_day.0022.ec.fits: ap = 89, w1 = 4064.343, w2 = 3978.651, dw = -0.05193, nw = 1651 Venus_day.0022.ec.fits: ap = 90, w1 = 4035.731, w2 = 3950.643, dw = -0.05157, nw = 1651 Venus_day.0022.ec.fits: ap = 91, w1 = 4007.52, w2 = 3923.027, dw = -0.05121, nw = 1651 Venus_day.0022.ec.fits: ap = 92, w1 = 3979.7, w2 = 3895.794, dw = -0.05085, nw = 1651 Venus_day.0022.ec.fits: ap = 93, w1 = 3952.264, w2 = 3868.937, dw = -0.0505, nw = 1651 Venus_day.0022.ec.fits: ap = 94, w1 = 3925.204, w2 = 3842.449, dw = -0.05015, nw = 1651 Venus_day.0022.ec.fits: ap = 95, w1 = 3898.512, w2 = 3816.32, dw = -0.04981, nw = 1651 Venus_day.0022.ec.fits: ap = 96, w1 = 3872.181, w2 = 3790.545, dw = -0.04948, nw = 1651 Venus_day.0022.ec.fits: ap = 97, w1 = 3846.203, w2 = 3765.116, dw = -0.04914, nw = 1651 Venus_day.0022.ec.fits: ap = 98, w1 = 3820.573, w2 = 3740.026, dw = -0.04882, nw = 1651 Venus_day.0022.ec.fits: ap = 99, w1 = 3795.281, w2 = 3715.268, dw = -0.04849, nw = 1651 Venus_day.0022.ec.fits: ap = 100, w1 = 3770.323, w2 = 3690.837, dw = -0.04817, nw = 1651 Venus_day.0022.ec.fits: ap = 101, w1 = 3745.691, w2 = 3666.725, dw = -0.04786, nw = 1651 Venus_day.0022.ec.fits: ap = 102, w1 = 3721.379, w2 = 3642.926, dw = -0.04755, nw = 1651 Venus_day.0022.ec.fits: ap = 103, w1 = 3697.381, w2 = 3619.434, dw = -0.04724, nw = 1651 Venus_day.0022.ec.fits: ap = 104, w1 = 3673.69, w2 = 3596.244, dw = -0.04694, nw = 1651 Venus_day.0022.ec.fits: ap = 105, w1 = 3650.302, w2 = 3573.349, dw = -0.04664, nw = 1651 Venus_day.0022.ec.fits: ap = 106, w1 = 3627.209, w2 = 3550.744, dw = -0.04634, nw = 1651 Venus_day.0022.ec.fits: ap = 107, w1 = 3604.407, w2 = 3528.423, dw = -0.04605, nw = 1651 Venus_day.0022.ec.fits: ap = 108, w1 = 3581.891, w2 = 3506.382, dw = -0.04576, nw = 1651 Venus_day.0022.ec.fits: ap = 109, w1 = 3559.654, w2 = 3484.614, dw = -0.04548, nw = 1651 Venus_day.0022.ec.fits: ap = 110, w1 = 3537.692, w2 = 3463.115, dw = -0.0452, nw = 1651 Venus_day.0022.ec.fits: ap = 111, w1 = 3515.999, w2 = 3441.881, dw = -0.04492, nw = 1651 Venus_day.0022.ec.fits: ap = 112, w1 = 3494.571, w2 = 3420.905, dw = -0.04465, nw = 1651 Venus_day.0022.ec.fits: ap = 113, w1 = 3473.402, w2 = 3400.184, dw = -0.04438, nw = 1651 Venus_day.0022.ec.fits: ap = 114, w1 = 3452.489, w2 = 3379.712, dw = -0.04411, nw = 1651 Venus_day.0022.ec.fits: ap = 115, w1 = 3431.827, w2 = 3359.486, dw = -0.04384, nw = 1651 Venus_day.0023.ec.fits: REFSPEC1 = 'ThAr.0003.ec 0.14646731' Venus_day.0023.ec.fits: REFSPEC2 = 'ThAr.0026.ec 0.85353267' Venus_day.0023.ec.fits: ap = 1, w1 = 10811.15, w2 = 10582.96, dw = -0.13829, nw = 1651 Venus_day.0023.ec.fits: ap = 2, w1 = 10610.96, w2 = 10387., dw = -0.13573, nw = 1651 Venus_day.0023.ec.fits: ap = 3, w1 = 10418.05, w2 = 10198.16, dw = -0.13327, nw = 1651 Venus_day.0023.ec.fits: ap = 4, w1 = 10232.03, w2 = 10016.07, dw = -0.13089, nw = 1651 Venus_day.0023.ec.fits: ap = 5, w1 = 10052.54, w2 = 9840.369, dw = -0.12859, nw = 1651 Venus_day.0023.ec.fits: ap = 6, w1 = 9879.241, w2 = 9670.724, dw = -0.12637, nw = 1651 Venus_day.0023.ec.fits: ap = 7, w1 = 9711.813, w2 = 9506.83, dw = -0.12423, nw = 1651 Venus_day.0023.ec.fits: ap = 8, w1 = 9549.965, w2 = 9348.398, dw = -0.12216, nw = 1651 Venus_day.0023.ec.fits: ap = 9, w1 = 9393.424, w2 = 9195.161, dw = -0.12016, nw = 1651 Venus_day.0023.ec.fits: ap = 10, w1 = 9241.932, w2 = 9046.867, dw = -0.11822, nw = 1651 Venus_day.0023.ec.fits: ap = 11, w1 = 9095.249, w2 = 8903.281, dw = -0.11634, nw = 1651 Venus_day.0023.ec.fits: ap = 12, w1 = 8953.15, w2 = 8764.182, dw = -0.11453, nw = 1651 Venus_day.0023.ec.fits: ap = 13, w1 = 8815.422, w2 = 8629.362, dw = -0.11276, nw = 1651 Venus_day.0023.ec.fits: ap = 14, w1 = 8681.868, w2 = 8498.628, dw = -0.11105, nw = 1651 Venus_day.0023.ec.fits: ap = 15, w1 = 8552.3, w2 = 8371.797, dw = -0.1094, nw = 1651 Venus_day.0023.ec.fits: ap = 16, w1 = 8426.543, w2 = 8248.695, dw = -0.10779, nw = 1651 Venus_day.0023.ec.fits: ap = 17, w1 = 8304.431, w2 = 8129.162, dw = -0.10622, nw = 1651 Venus_day.0023.ec.fits: ap = 18, w1 = 8185.808, w2 = 8013.044, dw = -0.10471, nw = 1651 Venus_day.0023.ec.fits: ap = 19, w1 = 8070.526, w2 = 7900.197, dw = -0.10323, nw = 1651 Venus_day.0023.ec.fits: ap = 20, w1 = 7958.446, w2 = 7790.485, dw = -0.10179, nw = 1651 Venus_day.0023.ec.fits: ap = 21, w1 = 7849.437, w2 = 7683.778, dw = -0.1004, nw = 1651 Venus_day.0023.ec.fits: ap = 22, w1 = 7743.374, w2 = 7579.955, dw = -0.09904, nw = 1651 Venus_day.0023.ec.fits: ap = 23, w1 = 7640.139, w2 = 7478.901, dw = -0.09772, nw = 1651 Venus_day.0023.ec.fits: ap = 24, w1 = 7539.62, w2 = 7380.506, dw = -0.09643, nw = 1651 Venus_day.0023.ec.fits: ap = 25, w1 = 7441.713, w2 = 7284.667, dw = -0.09518, nw = 1651 Venus_day.0023.ec.fits: ap = 26, w1 = 7346.315, w2 = 7191.285, dw = -0.09396, nw = 1651 Venus_day.0023.ec.fits: ap = 27, w1 = 7253.333, w2 = 7100.267, dw = -0.09277, nw = 1651 Venus_day.0023.ec.fits: ap = 28, w1 = 7162.676, w2 = 7011.525, dw = -0.09161, nw = 1651 Venus_day.0023.ec.fits: ap = 29, w1 = 7074.256, w2 = 6924.974, dw = -0.09047, nw = 1651 Venus_day.0023.ec.fits: ap = 30, w1 = 6987.994, w2 = 6840.534, dw = -0.08937, nw = 1651 Venus_day.0023.ec.fits: ap = 31, w1 = 6903.809, w2 = 6758.129, dw = -0.08829, nw = 1651 Venus_day.0023.ec.fits: ap = 32, w1 = 6821.63, w2 = 6677.685, dw = -0.08724, nw = 1651 Venus_day.0023.ec.fits: ap = 33, w1 = 6741.384, w2 = 6599.135, dw = -0.08621, nw = 1651 Venus_day.0023.ec.fits: ap = 34, w1 = 6663.004, w2 = 6522.411, dw = -0.08521, nw = 1651 Venus_day.0023.ec.fits: ap = 35, w1 = 6586.426, w2 = 6447.451, dw = -0.08423, nw = 1651 Venus_day.0023.ec.fits: ap = 36, w1 = 6511.588, w2 = 6374.195, dw = -0.08327, nw = 1651 Venus_day.0023.ec.fits: ap = 37, w1 = 6438.432, w2 = 6302.585, dw = -0.08233, nw = 1651 Venus_day.0023.ec.fits: ap = 38, w1 = 6366.902, w2 = 6232.567, dw = -0.08142, nw = 1651 Venus_day.0023.ec.fits: ap = 39, w1 = 6296.944, w2 = 6164.087, dw = -0.08052, nw = 1651 Venus_day.0023.ec.fits: ap = 40, w1 = 6228.507, w2 = 6097.096, dw = -0.07964, nw = 1651 Venus_day.0023.ec.fits: ap = 41, w1 = 6161.541, w2 = 6031.546, dw = -0.07878, nw = 1651 Venus_day.0023.ec.fits: ap = 42, w1 = 6096.001, w2 = 5967.391, dw = -0.07795, nw = 1651 Venus_day.0023.ec.fits: ap = 43, w1 = 6031.84, w2 = 5904.586, dw = -0.07712, nw = 1651 Venus_day.0023.ec.fits: ap = 44, w1 = 5969.016, w2 = 5843.09, dw = -0.07632, nw = 1651 Venus_day.0023.ec.fits: ap = 45, w1 = 5907.488, w2 = 5782.861, dw = -0.07553, nw = 1651 Venus_day.0023.ec.fits: ap = 46, w1 = 5847.215, w2 = 5723.863, dw = -0.07476, nw = 1651 Venus_day.0023.ec.fits: ap = 47, w1 = 5788.16, w2 = 5666.055, dw = -0.074, nw = 1651 Venus_day.0023.ec.fits: ap = 48, w1 = 5730.286, w2 = 5609.405, dw = -0.07326, nw = 1651 Venus_day.0023.ec.fits: ap = 49, w1 = 5673.559, w2 = 5553.876, dw = -0.07253, nw = 1651 Venus_day.0023.ec.fits: ap = 50, w1 = 5617.943, w2 = 5499.436, dw = -0.07182, nw = 1651 Venus_day.0023.ec.fits: ap = 51, w1 = 5563.408, w2 = 5446.053, dw = -0.07112, nw = 1651 Venus_day.0023.ec.fits: ap = 52, w1 = 5509.921, w2 = 5393.697, dw = -0.07044, nw = 1651 Venus_day.0023.ec.fits: ap = 53, w1 = 5457.454, w2 = 5342.338, dw = -0.06977, nw = 1651 Venus_day.0023.ec.fits: ap = 54, w1 = 5405.976, w2 = 5291.948, dw = -0.06911, nw = 1651 Venus_day.0023.ec.fits: ap = 55, w1 = 5355.461, w2 = 5242.5, dw = -0.06846, nw = 1651 Venus_day.0023.ec.fits: ap = 56, w1 = 5305.882, w2 = 5193.968, dw = -0.06783, nw = 1651 Venus_day.0023.ec.fits: ap = 57, w1 = 5257.212, w2 = 5146.327, dw = -0.0672, nw = 1651 Venus_day.0023.ec.fits: ap = 58, w1 = 5209.427, w2 = 5099.552, dw = -0.06659, nw = 1651 Venus_day.0023.ec.fits: ap = 59, w1 = 5162.503, w2 = 5053.619, dw = -0.06599, nw = 1651 Venus_day.0023.ec.fits: ap = 60, w1 = 5116.418, w2 = 5008.508, dw = -0.0654, nw = 1651 Venus_day.0023.ec.fits: ap = 61, w1 = 5071.148, w2 = 4964.194, dw = -0.06482, nw = 1651 Venus_day.0023.ec.fits: ap = 62, w1 = 5026.672, w2 = 4920.658, dw = -0.06425, nw = 1651 Venus_day.0023.ec.fits: ap = 63, w1 = 4982.971, w2 = 4877.88, dw = -0.06369, nw = 1651 Venus_day.0023.ec.fits: ap = 64, w1 = 4940.022, w2 = 4835.839, dw = -0.06314, nw = 1651 Venus_day.0023.ec.fits: ap = 65, w1 = 4897.808, w2 = 4794.517, dw = -0.0626, nw = 1651 Venus_day.0023.ec.fits: ap = 66, w1 = 4856.31, w2 = 4753.895, dw = -0.06207, nw = 1651 Venus_day.0023.ec.fits: ap = 67, w1 = 4815.509, w2 = 4713.956, dw = -0.06155, nw = 1651 Venus_day.0023.ec.fits: ap = 68, w1 = 4775.389, w2 = 4674.683, dw = -0.06103, nw = 1651 Venus_day.0023.ec.fits: ap = 69, w1 = 4735.931, w2 = 4636.059, dw = -0.06053, nw = 1651 Venus_day.0023.ec.fits: ap = 70, w1 = 4697.121, w2 = 4598.068, dw = -0.06003, nw = 1651 Venus_day.0023.ec.fits: ap = 71, w1 = 4658.942, w2 = 4560.695, dw = -0.05954, nw = 1651 Venus_day.0023.ec.fits: ap = 72, w1 = 4621.379, w2 = 4523.926, dw = -0.05906, nw = 1651 Venus_day.0023.ec.fits: ap = 73, w1 = 4584.417, w2 = 4487.744, dw = -0.05859, nw = 1651 Venus_day.0023.ec.fits: ap = 74, w1 = 4548.041, w2 = 4452.137, dw = -0.05812, nw = 1651 Venus_day.0023.ec.fits: ap = 75, w1 = 4512.239, w2 = 4417.091, dw = -0.05767, nw = 1651 Venus_day.0023.ec.fits: ap = 76, w1 = 4476.996, w2 = 4382.592, dw = -0.05721, nw = 1651 Venus_day.0023.ec.fits: ap = 77, w1 = 4442.3, w2 = 4348.629, dw = -0.05677, nw = 1651 Venus_day.0023.ec.fits: ap = 78, w1 = 4408.138, w2 = 4315.188, dw = -0.05633, nw = 1651 Venus_day.0023.ec.fits: ap = 79, w1 = 4374.498, w2 = 4282.258, dw = -0.0559, nw = 1651 Venus_day.0023.ec.fits: ap = 80, w1 = 4341.367, w2 = 4249.827, dw = -0.05548, nw = 1651 Venus_day.0023.ec.fits: ap = 81, w1 = 4308.735, w2 = 4217.883, dw = -0.05506, nw = 1651 Venus_day.0023.ec.fits: ap = 82, w1 = 4276.59, w2 = 4186.417, dw = -0.05465, nw = 1651 Venus_day.0023.ec.fits: ap = 83, w1 = 4244.921, w2 = 4155.417, dw = -0.05424, nw = 1651 Venus_day.0023.ec.fits: ap = 84, w1 = 4213.718, w2 = 4124.872, dw = -0.05385, nw = 1651 Venus_day.0023.ec.fits: ap = 85, w1 = 4182.971, w2 = 4094.774, dw = -0.05345, nw = 1651 Venus_day.0023.ec.fits: ap = 86, w1 = 4152.669, w2 = 4065.112, dw = -0.05306, nw = 1651 Venus_day.0023.ec.fits: ap = 87, w1 = 4122.804, w2 = 4035.877, dw = -0.05268, nw = 1651 Venus_day.0023.ec.fits: ap = 88, w1 = 4093.365, w2 = 4007.06, dw = -0.05231, nw = 1651 Venus_day.0023.ec.fits: ap = 89, w1 = 4064.344, w2 = 3978.652, dw = -0.05193, nw = 1651 Venus_day.0023.ec.fits: ap = 90, w1 = 4035.732, w2 = 3950.644, dw = -0.05157, nw = 1651 Venus_day.0023.ec.fits: ap = 91, w1 = 4007.521, w2 = 3923.027, dw = -0.05121, nw = 1651 Venus_day.0023.ec.fits: ap = 92, w1 = 3979.701, w2 = 3895.795, dw = -0.05085, nw = 1651 Venus_day.0023.ec.fits: ap = 93, w1 = 3952.265, w2 = 3868.938, dw = -0.0505, nw = 1651 Venus_day.0023.ec.fits: ap = 94, w1 = 3925.205, w2 = 3842.449, dw = -0.05016, nw = 1651 Venus_day.0023.ec.fits: ap = 95, w1 = 3898.513, w2 = 3816.321, dw = -0.04981, nw = 1651 Venus_day.0023.ec.fits: ap = 96, w1 = 3872.183, w2 = 3790.546, dw = -0.04948, nw = 1651 Venus_day.0023.ec.fits: ap = 97, w1 = 3846.205, w2 = 3765.117, dw = -0.04914, nw = 1651 Venus_day.0023.ec.fits: ap = 98, w1 = 3820.575, w2 = 3740.027, dw = -0.04882, nw = 1651 Venus_day.0023.ec.fits: ap = 99, w1 = 3795.284, w2 = 3715.269, dw = -0.04849, nw = 1651 Venus_day.0023.ec.fits: ap = 100, w1 = 3770.325, w2 = 3690.838, dw = -0.04817, nw = 1651 Venus_day.0023.ec.fits: ap = 101, w1 = 3745.693, w2 = 3666.725, dw = -0.04786, nw = 1651 Venus_day.0023.ec.fits: ap = 102, w1 = 3721.382, w2 = 3642.927, dw = -0.04755, nw = 1651 Venus_day.0023.ec.fits: ap = 103, w1 = 3697.384, w2 = 3619.435, dw = -0.04724, nw = 1651 Venus_day.0023.ec.fits: ap = 104, w1 = 3673.693, w2 = 3596.245, dw = -0.04694, nw = 1651 Venus_day.0023.ec.fits: ap = 105, w1 = 3650.305, w2 = 3573.35, dw = -0.04664, nw = 1651 Venus_day.0023.ec.fits: ap = 106, w1 = 3627.213, w2 = 3550.745, dw = -0.04634, nw = 1651 Venus_day.0023.ec.fits: ap = 107, w1 = 3604.411, w2 = 3528.424, dw = -0.04605, nw = 1651 Venus_day.0023.ec.fits: ap = 108, w1 = 3581.895, w2 = 3506.383, dw = -0.04576, nw = 1651 Venus_day.0023.ec.fits: ap = 109, w1 = 3559.658, w2 = 3484.616, dw = -0.04548, nw = 1651 Venus_day.0023.ec.fits: ap = 110, w1 = 3537.696, w2 = 3463.117, dw = -0.0452, nw = 1651 Venus_day.0023.ec.fits: ap = 111, w1 = 3516.004, w2 = 3441.882, dw = -0.04492, nw = 1651 Venus_day.0023.ec.fits: ap = 112, w1 = 3494.576, w2 = 3420.907, dw = -0.04465, nw = 1651 Venus_day.0023.ec.fits: ap = 113, w1 = 3473.408, w2 = 3400.186, dw = -0.04438, nw = 1651 Venus_day.0023.ec.fits: ap = 114, w1 = 3452.495, w2 = 3379.714, dw = -0.04411, nw = 1651 Venus_day.0023.ec.fits: ap = 115, w1 = 3431.833, w2 = 3359.488, dw = -0.04385, nw = 1651 Venus_night.0015.ec.fits: REFSPEC1 = 'ThAr.0003.ec 0.61425698' Venus_night.0015.ec.fits: REFSPEC2 = 'ThAr.0026.ec 0.38574299' Venus_night.0015.ec.fits: ap = 1, w1 = 10811.13, w2 = 10582.96, dw = -0.13829, nw = 1651 Venus_night.0015.ec.fits: ap = 2, w1 = 10610.95, w2 = 10387., dw = -0.13573, nw = 1651 Venus_night.0015.ec.fits: ap = 3, w1 = 10418.04, w2 = 10198.16, dw = -0.13326, nw = 1651 Venus_night.0015.ec.fits: ap = 4, w1 = 10232.03, w2 = 10016.07, dw = -0.13088, nw = 1651 Venus_night.0015.ec.fits: ap = 5, w1 = 10052.54, w2 = 9840.366, dw = -0.12859, nw = 1651 Venus_night.0015.ec.fits: ap = 6, w1 = 9879.236, w2 = 9670.722, dw = -0.12637, nw = 1651 Venus_night.0015.ec.fits: ap = 7, w1 = 9711.809, w2 = 9506.828, dw = -0.12423, nw = 1651 Venus_night.0015.ec.fits: ap = 8, w1 = 9549.962, w2 = 9348.397, dw = -0.12216, nw = 1651 Venus_night.0015.ec.fits: ap = 9, w1 = 9393.422, w2 = 9195.16, dw = -0.12016, nw = 1651 Venus_night.0015.ec.fits: ap = 10, w1 = 9241.931, w2 = 9046.867, dw = -0.11822, nw = 1651 Venus_night.0015.ec.fits: ap = 11, w1 = 9095.248, w2 = 8903.281, dw = -0.11634, nw = 1651 Venus_night.0015.ec.fits: ap = 12, w1 = 8953.149, w2 = 8764.181, dw = -0.11453, nw = 1651 Venus_night.0015.ec.fits: ap = 13, w1 = 8815.422, w2 = 8629.362, dw = -0.11276, nw = 1651 Venus_night.0015.ec.fits: ap = 14, w1 = 8681.868, w2 = 8498.628, dw = -0.11105, nw = 1651 Venus_night.0015.ec.fits: ap = 15, w1 = 8552.3, w2 = 8371.796, dw = -0.1094, nw = 1651 Venus_night.0015.ec.fits: ap = 16, w1 = 8426.543, w2 = 8248.695, dw = -0.10779, nw = 1651 Venus_night.0015.ec.fits: ap = 17, w1 = 8304.431, w2 = 8129.162, dw = -0.10622, nw = 1651 Venus_night.0015.ec.fits: ap = 18, w1 = 8185.808, w2 = 8013.043, dw = -0.10471, nw = 1651 Venus_night.0015.ec.fits: ap = 19, w1 = 8070.526, w2 = 7900.196, dw = -0.10323, nw = 1651 Venus_night.0015.ec.fits: ap = 20, w1 = 7958.446, w2 = 7790.483, dw = -0.1018, nw = 1651 Venus_night.0015.ec.fits: ap = 21, w1 = 7849.436, w2 = 7683.776, dw = -0.1004, nw = 1651 Venus_night.0015.ec.fits: ap = 22, w1 = 7743.373, w2 = 7579.954, dw = -0.09904, nw = 1651 Venus_night.0015.ec.fits: ap = 23, w1 = 7640.137, w2 = 7478.899, dw = -0.09772, nw = 1651 Venus_night.0015.ec.fits: ap = 24, w1 = 7539.619, w2 = 7380.504, dw = -0.09643, nw = 1651 Venus_night.0015.ec.fits: ap = 25, w1 = 7441.711, w2 = 7284.665, dw = -0.09518, nw = 1651 Venus_night.0015.ec.fits: ap = 26, w1 = 7346.313, w2 = 7191.283, dw = -0.09396, nw = 1651 Venus_night.0015.ec.fits: ap = 27, w1 = 7253.331, w2 = 7100.265, dw = -0.09277, nw = 1651 Venus_night.0015.ec.fits: ap = 28, w1 = 7162.673, w2 = 7011.522, dw = -0.09161, nw = 1651 Venus_night.0015.ec.fits: ap = 29, w1 = 7074.254, w2 = 6924.971, dw = -0.09047, nw = 1651 Venus_night.0015.ec.fits: ap = 30, w1 = 6987.991, w2 = 6840.531, dw = -0.08937, nw = 1651 Venus_night.0015.ec.fits: ap = 31, w1 = 6903.807, w2 = 6758.126, dw = -0.08829, nw = 1651 Venus_night.0015.ec.fits: ap = 32, w1 = 6821.627, w2 = 6677.682, dw = -0.08724, nw = 1651 Venus_night.0015.ec.fits: ap = 33, w1 = 6741.381, w2 = 6599.132, dw = -0.08621, nw = 1651 Venus_night.0015.ec.fits: ap = 34, w1 = 6663.001, w2 = 6522.408, dw = -0.08521, nw = 1651 Venus_night.0015.ec.fits: ap = 35, w1 = 6586.422, w2 = 6447.448, dw = -0.08423, nw = 1651 Venus_night.0015.ec.fits: ap = 36, w1 = 6511.585, w2 = 6374.192, dw = -0.08327, nw = 1651 Venus_night.0015.ec.fits: ap = 37, w1 = 6438.429, w2 = 6302.582, dw = -0.08233, nw = 1651 Venus_night.0015.ec.fits: ap = 38, w1 = 6366.899, w2 = 6232.563, dw = -0.08142, nw = 1651 Venus_night.0015.ec.fits: ap = 39, w1 = 6296.941, w2 = 6164.084, dw = -0.08052, nw = 1651 Venus_night.0015.ec.fits: ap = 40, w1 = 6228.504, w2 = 6097.093, dw = -0.07964, nw = 1651 Venus_night.0015.ec.fits: ap = 41, w1 = 6161.538, w2 = 6031.543, dw = -0.07879, nw = 1651 Venus_night.0015.ec.fits: ap = 42, w1 = 6095.998, w2 = 5967.388, dw = -0.07795, nw = 1651 Venus_night.0015.ec.fits: ap = 43, w1 = 6031.837, w2 = 5904.583, dw = -0.07712, nw = 1651 Venus_night.0015.ec.fits: ap = 44, w1 = 5969.014, w2 = 5843.087, dw = -0.07632, nw = 1651 Venus_night.0015.ec.fits: ap = 45, w1 = 5907.485, w2 = 5782.859, dw = -0.07553, nw = 1651 Venus_night.0015.ec.fits: ap = 46, w1 = 5847.213, w2 = 5723.86, dw = -0.07476, nw = 1651 Venus_night.0015.ec.fits: ap = 47, w1 = 5788.158, w2 = 5666.053, dw = -0.074, nw = 1651 Venus_night.0015.ec.fits: ap = 48, w1 = 5730.284, w2 = 5609.402, dw = -0.07326, nw = 1651 Venus_night.0015.ec.fits: ap = 49, w1 = 5673.557, w2 = 5553.873, dw = -0.07254, nw = 1651 Venus_night.0015.ec.fits: ap = 50, w1 = 5617.942, w2 = 5499.434, dw = -0.07182, nw = 1651 Venus_night.0015.ec.fits: ap = 51, w1 = 5563.407, w2 = 5446.051, dw = -0.07112, nw = 1651 Venus_night.0015.ec.fits: ap = 52, w1 = 5509.921, w2 = 5393.695, dw = -0.07044, nw = 1651 Venus_night.0015.ec.fits: ap = 53, w1 = 5457.453, w2 = 5342.336, dw = -0.06977, nw = 1651 Venus_night.0015.ec.fits: ap = 54, w1 = 5405.976, w2 = 5291.947, dw = -0.06911, nw = 1651 Venus_night.0015.ec.fits: ap = 55, w1 = 5355.461, w2 = 5242.499, dw = -0.06846, nw = 1651 Venus_night.0015.ec.fits: ap = 56, w1 = 5305.882, w2 = 5193.967, dw = -0.06783, nw = 1651 Venus_night.0015.ec.fits: ap = 57, w1 = 5257.212, w2 = 5146.326, dw = -0.0672, nw = 1651 Venus_night.0015.ec.fits: ap = 58, w1 = 5209.427, w2 = 5099.551, dw = -0.06659, nw = 1651 Venus_night.0015.ec.fits: ap = 59, w1 = 5162.504, w2 = 5053.619, dw = -0.06599, nw = 1651 Venus_night.0015.ec.fits: ap = 60, w1 = 5116.418, w2 = 5008.507, dw = -0.0654, nw = 1651 Venus_night.0015.ec.fits: ap = 61, w1 = 5071.149, w2 = 4964.194, dw = -0.06482, nw = 1651 Venus_night.0015.ec.fits: ap = 62, w1 = 5026.673, w2 = 4920.658, dw = -0.06425, nw = 1651 Venus_night.0015.ec.fits: ap = 63, w1 = 4982.971, w2 = 4877.88, dw = -0.06369, nw = 1651 Venus_night.0015.ec.fits: ap = 64, w1 = 4940.023, w2 = 4835.839, dw = -0.06314, nw = 1651 Venus_night.0015.ec.fits: ap = 65, w1 = 4897.809, w2 = 4794.517, dw = -0.0626, nw = 1651 Venus_night.0015.ec.fits: ap = 66, w1 = 4856.31, w2 = 4753.895, dw = -0.06207, nw = 1651 Venus_night.0015.ec.fits: ap = 67, w1 = 4815.509, w2 = 4713.957, dw = -0.06155, nw = 1651 Venus_night.0015.ec.fits: ap = 68, w1 = 4775.389, w2 = 4674.683, dw = -0.06103, nw = 1651 Venus_night.0015.ec.fits: ap = 69, w1 = 4735.931, w2 = 4636.06, dw = -0.06053, nw = 1651 Venus_night.0015.ec.fits: ap = 70, w1 = 4697.12, w2 = 4598.069, dw = -0.06003, nw = 1651 Venus_night.0015.ec.fits: ap = 71, w1 = 4658.941, w2 = 4560.696, dw = -0.05954, nw = 1651 Venus_night.0015.ec.fits: ap = 72, w1 = 4621.377, w2 = 4523.926, dw = -0.05906, nw = 1651 Venus_night.0015.ec.fits: ap = 73, w1 = 4584.414, w2 = 4487.745, dw = -0.05859, nw = 1651 Venus_night.0015.ec.fits: ap = 74, w1 = 4548.038, w2 = 4452.137, dw = -0.05812, nw = 1651 Venus_night.0015.ec.fits: ap = 75, w1 = 4512.235, w2 = 4417.091, dw = -0.05766, nw = 1651 Venus_night.0015.ec.fits: ap = 76, w1 = 4476.991, w2 = 4382.592, dw = -0.05721, nw = 1651 Venus_night.0015.ec.fits: ap = 77, w1 = 4442.294, w2 = 4348.629, dw = -0.05677, nw = 1651 Venus_night.0015.ec.fits: ap = 78, w1 = 4408.131, w2 = 4315.187, dw = -0.05633, nw = 1651 Venus_night.0015.ec.fits: ap = 79, w1 = 4374.489, w2 = 4282.257, dw = -0.0559, nw = 1651 Venus_night.0015.ec.fits: ap = 80, w1 = 4341.357, w2 = 4249.825, dw = -0.05547, nw = 1651 Venus_night.0015.ec.fits: ap = 81, w1 = 4308.723, w2 = 4217.881, dw = -0.05506, nw = 1651 Venus_night.0015.ec.fits: ap = 82, w1 = 4276.576, w2 = 4186.414, dw = -0.05464, nw = 1651 Venus_night.0015.ec.fits: ap = 83, w1 = 4244.906, w2 = 4155.414, dw = -0.05424, nw = 1651 Venus_night.0015.ec.fits: ap = 84, w1 = 4213.701, w2 = 4124.869, dw = -0.05384, nw = 1651 Venus_night.0015.ec.fits: ap = 85, w1 = 4182.952, w2 = 4094.77, dw = -0.05344, nw = 1651 Venus_night.0015.ec.fits: ap = 86, w1 = 4152.648, w2 = 4065.107, dw = -0.05306, nw = 1651 Venus_night.0015.ec.fits: ap = 87, w1 = 4122.78, w2 = 4035.871, dw = -0.05267, nw = 1651 Venus_night.0015.ec.fits: ap = 88, w1 = 4093.339, w2 = 4007.053, dw = -0.05229, nw = 1651 Venus_night.0015.ec.fits: ap = 89, w1 = 4064.315, w2 = 3978.644, dw = -0.05192, nw = 1651 Venus_night.0015.ec.fits: ap = 90, w1 = 4035.701, w2 = 3950.635, dw = -0.05156, nw = 1651 Venus_night.0015.ec.fits: ap = 91, w1 = 4007.486, w2 = 3923.018, dw = -0.05119, nw = 1651 Venus_night.0015.ec.fits: ap = 92, w1 = 3979.663, w2 = 3895.784, dw = -0.05084, nw = 1651 Venus_night.0015.ec.fits: ap = 93, w1 = 3952.224, w2 = 3868.925, dw = -0.05048, nw = 1651 Venus_night.0015.ec.fits: ap = 94, w1 = 3925.16, w2 = 3842.435, dw = -0.05014, nw = 1651 Venus_night.0015.ec.fits: ap = 95, w1 = 3898.465, w2 = 3816.305, dw = -0.04979, nw = 1651 Venus_night.0015.ec.fits: ap = 96, w1 = 3872.13, w2 = 3790.529, dw = -0.04946, nw = 1651 Venus_night.0015.ec.fits: ap = 97, w1 = 3846.148, w2 = 3765.098, dw = -0.04912, nw = 1651 Venus_night.0015.ec.fits: ap = 98, w1 = 3820.513, w2 = 3740.006, dw = -0.04879, nw = 1651 Venus_night.0015.ec.fits: ap = 99, w1 = 3795.217, w2 = 3715.247, dw = -0.04847, nw = 1651 Venus_night.0015.ec.fits: ap = 100, w1 = 3770.254, w2 = 3690.813, dw = -0.04815, nw = 1651 Venus_night.0015.ec.fits: ap = 101, w1 = 3745.617, w2 = 3666.699, dw = -0.04783, nw = 1651 Venus_night.0015.ec.fits: ap = 102, w1 = 3721.3, w2 = 3642.898, dw = -0.04752, nw = 1651 Venus_night.0015.ec.fits: ap = 103, w1 = 3697.296, w2 = 3619.404, dw = -0.04721, nw = 1651 Venus_night.0015.ec.fits: ap = 104, w1 = 3673.6, w2 = 3596.211, dw = -0.0469, nw = 1651 Venus_night.0015.ec.fits: ap = 105, w1 = 3650.206, w2 = 3573.314, dw = -0.0466, nw = 1651 Venus_night.0015.ec.fits: ap = 106, w1 = 3627.107, w2 = 3550.707, dw = -0.0463, nw = 1651 Venus_night.0015.ec.fits: ap = 107, w1 = 3604.299, w2 = 3528.383, dw = -0.04601, nw = 1651 Venus_night.0015.ec.fits: ap = 108, w1 = 3581.775, w2 = 3506.339, dw = -0.04572, nw = 1651 Venus_night.0015.ec.fits: ap = 109, w1 = 3559.532, w2 = 3484.569, dw = -0.04543, nw = 1651 Venus_night.0015.ec.fits: ap = 110, w1 = 3537.562, w2 = 3463.067, dw = -0.04515, nw = 1651 Venus_night.0015.ec.fits: ap = 111, w1 = 3515.862, w2 = 3441.829, dw = -0.04487, nw = 1651 Venus_night.0015.ec.fits: ap = 112, w1 = 3494.426, w2 = 3420.85, dw = -0.04459, nw = 1651 Venus_night.0015.ec.fits: ap = 113, w1 = 3473.249, w2 = 3400.125, dw = -0.04432, nw = 1651 Venus_night.0015.ec.fits: ap = 114, w1 = 3452.328, w2 = 3379.65, dw = -0.04405, nw = 1651 Venus_night.0015.ec.fits: ap = 115, w1 = 3431.657, w2 = 3359.42, dw = -0.04378, nw = 1651 Venus_night.0016.ec.fits: REFSPEC1 = 'ThAr.0003.ec 0.53643805' Venus_night.0016.ec.fits: REFSPEC2 = 'ThAr.0026.ec 0.46356198' Venus_night.0016.ec.fits: ap = 1, w1 = 10811.13, w2 = 10582.96, dw = -0.13829, nw = 1651 Venus_night.0016.ec.fits: ap = 2, w1 = 10610.95, w2 = 10387., dw = -0.13573, nw = 1651 Venus_night.0016.ec.fits: ap = 3, w1 = 10418.04, w2 = 10198.16, dw = -0.13326, nw = 1651 Venus_night.0016.ec.fits: ap = 4, w1 = 10232.03, w2 = 10016.07, dw = -0.13088, nw = 1651 Venus_night.0016.ec.fits: ap = 5, w1 = 10052.54, w2 = 9840.366, dw = -0.12859, nw = 1651 Venus_night.0016.ec.fits: ap = 6, w1 = 9879.237, w2 = 9670.722, dw = -0.12637, nw = 1651 Venus_night.0016.ec.fits: ap = 7, w1 = 9711.81, w2 = 9506.828, dw = -0.12423, nw = 1651 Venus_night.0016.ec.fits: ap = 8, w1 = 9549.963, w2 = 9348.397, dw = -0.12216, nw = 1651 Venus_night.0016.ec.fits: ap = 9, w1 = 9393.422, w2 = 9195.161, dw = -0.12016, nw = 1651 Venus_night.0016.ec.fits: ap = 10, w1 = 9241.931, w2 = 9046.867, dw = -0.11822, nw = 1651 Venus_night.0016.ec.fits: ap = 11, w1 = 9095.248, w2 = 8903.281, dw = -0.11634, nw = 1651 Venus_night.0016.ec.fits: ap = 12, w1 = 8953.149, w2 = 8764.181, dw = -0.11453, nw = 1651 Venus_night.0016.ec.fits: ap = 13, w1 = 8815.422, w2 = 8629.362, dw = -0.11276, nw = 1651 Venus_night.0016.ec.fits: ap = 14, w1 = 8681.868, w2 = 8498.628, dw = -0.11105, nw = 1651 Venus_night.0016.ec.fits: ap = 15, w1 = 8552.3, w2 = 8371.796, dw = -0.1094, nw = 1651 Venus_night.0016.ec.fits: ap = 16, w1 = 8426.543, w2 = 8248.695, dw = -0.10779, nw = 1651 Venus_night.0016.ec.fits: ap = 17, w1 = 8304.431, w2 = 8129.162, dw = -0.10622, nw = 1651 Venus_night.0016.ec.fits: ap = 18, w1 = 8185.808, w2 = 8013.044, dw = -0.10471, nw = 1651 Venus_night.0016.ec.fits: ap = 19, w1 = 8070.526, w2 = 7900.196, dw = -0.10323, nw = 1651 Venus_night.0016.ec.fits: ap = 20, w1 = 7958.446, w2 = 7790.484, dw = -0.1018, nw = 1651 Venus_night.0016.ec.fits: ap = 21, w1 = 7849.436, w2 = 7683.777, dw = -0.1004, nw = 1651 Venus_night.0016.ec.fits: ap = 22, w1 = 7743.373, w2 = 7579.954, dw = -0.09904, nw = 1651 Venus_night.0016.ec.fits: ap = 23, w1 = 7640.138, w2 = 7478.899, dw = -0.09772, nw = 1651 Venus_night.0016.ec.fits: ap = 24, w1 = 7539.619, w2 = 7380.504, dw = -0.09643, nw = 1651 Venus_night.0016.ec.fits: ap = 25, w1 = 7441.711, w2 = 7284.665, dw = -0.09518, nw = 1651 Venus_night.0016.ec.fits: ap = 26, w1 = 7346.314, w2 = 7191.283, dw = -0.09396, nw = 1651 Venus_night.0016.ec.fits: ap = 27, w1 = 7253.331, w2 = 7100.265, dw = -0.09277, nw = 1651 Venus_night.0016.ec.fits: ap = 28, w1 = 7162.674, w2 = 7011.523, dw = -0.09161, nw = 1651 Venus_night.0016.ec.fits: ap = 29, w1 = 7074.254, w2 = 6924.972, dw = -0.09047, nw = 1651 Venus_night.0016.ec.fits: ap = 30, w1 = 6987.991, w2 = 6840.532, dw = -0.08937, nw = 1651 Venus_night.0016.ec.fits: ap = 31, w1 = 6903.807, w2 = 6758.126, dw = -0.08829, nw = 1651 Venus_night.0016.ec.fits: ap = 32, w1 = 6821.627, w2 = 6677.683, dw = -0.08724, nw = 1651 Venus_night.0016.ec.fits: ap = 33, w1 = 6741.381, w2 = 6599.132, dw = -0.08621, nw = 1651 Venus_night.0016.ec.fits: ap = 34, w1 = 6663.001, w2 = 6522.409, dw = -0.08521, nw = 1651 Venus_night.0016.ec.fits: ap = 35, w1 = 6586.423, w2 = 6447.449, dw = -0.08423, nw = 1651 Venus_night.0016.ec.fits: ap = 36, w1 = 6511.585, w2 = 6374.193, dw = -0.08327, nw = 1651 Venus_night.0016.ec.fits: ap = 37, w1 = 6438.429, w2 = 6302.583, dw = -0.08233, nw = 1651 Venus_night.0016.ec.fits: ap = 38, w1 = 6366.899, w2 = 6232.564, dw = -0.08142, nw = 1651 Venus_night.0016.ec.fits: ap = 39, w1 = 6296.941, w2 = 6164.084, dw = -0.08052, nw = 1651 Venus_night.0016.ec.fits: ap = 40, w1 = 6228.504, w2 = 6097.094, dw = -0.07964, nw = 1651 Venus_night.0016.ec.fits: ap = 41, w1 = 6161.539, w2 = 6031.543, dw = -0.07879, nw = 1651 Venus_night.0016.ec.fits: ap = 42, w1 = 6095.998, w2 = 5967.388, dw = -0.07795, nw = 1651 Venus_night.0016.ec.fits: ap = 43, w1 = 6031.838, w2 = 5904.583, dw = -0.07712, nw = 1651 Venus_night.0016.ec.fits: ap = 44, w1 = 5969.014, w2 = 5843.087, dw = -0.07632, nw = 1651 Venus_night.0016.ec.fits: ap = 45, w1 = 5907.486, w2 = 5782.859, dw = -0.07553, nw = 1651 Venus_night.0016.ec.fits: ap = 46, w1 = 5847.213, w2 = 5723.86, dw = -0.07476, nw = 1651 Venus_night.0016.ec.fits: ap = 47, w1 = 5788.158, w2 = 5666.053, dw = -0.074, nw = 1651 Venus_night.0016.ec.fits: ap = 48, w1 = 5730.285, w2 = 5609.403, dw = -0.07326, nw = 1651 Venus_night.0016.ec.fits: ap = 49, w1 = 5673.557, w2 = 5553.874, dw = -0.07254, nw = 1651 Venus_night.0016.ec.fits: ap = 50, w1 = 5617.942, w2 = 5499.434, dw = -0.07182, nw = 1651 Venus_night.0016.ec.fits: ap = 51, w1 = 5563.407, w2 = 5446.051, dw = -0.07112, nw = 1651 Venus_night.0016.ec.fits: ap = 52, w1 = 5509.921, w2 = 5393.695, dw = -0.07044, nw = 1651 Venus_night.0016.ec.fits: ap = 53, w1 = 5457.453, w2 = 5342.336, dw = -0.06977, nw = 1651 Venus_night.0016.ec.fits: ap = 54, w1 = 5405.976, w2 = 5291.947, dw = -0.06911, nw = 1651 Venus_night.0016.ec.fits: ap = 55, w1 = 5355.461, w2 = 5242.499, dw = -0.06846, nw = 1651 Venus_night.0016.ec.fits: ap = 56, w1 = 5305.882, w2 = 5193.967, dw = -0.06783, nw = 1651 Venus_night.0016.ec.fits: ap = 57, w1 = 5257.212, w2 = 5146.326, dw = -0.0672, nw = 1651 Venus_night.0016.ec.fits: ap = 58, w1 = 5209.427, w2 = 5099.551, dw = -0.06659, nw = 1651 Venus_night.0016.ec.fits: ap = 59, w1 = 5162.504, w2 = 5053.619, dw = -0.06599, nw = 1651 Venus_night.0016.ec.fits: ap = 60, w1 = 5116.418, w2 = 5008.507, dw = -0.0654, nw = 1651 Venus_night.0016.ec.fits: ap = 61, w1 = 5071.148, w2 = 4964.194, dw = -0.06482, nw = 1651 Venus_night.0016.ec.fits: ap = 62, w1 = 5026.673, w2 = 4920.658, dw = -0.06425, nw = 1651 Venus_night.0016.ec.fits: ap = 63, w1 = 4982.971, w2 = 4877.88, dw = -0.06369, nw = 1651 Venus_night.0016.ec.fits: ap = 64, w1 = 4940.023, w2 = 4835.839, dw = -0.06314, nw = 1651 Venus_night.0016.ec.fits: ap = 65, w1 = 4897.809, w2 = 4794.517, dw = -0.0626, nw = 1651 Venus_night.0016.ec.fits: ap = 66, w1 = 4856.31, w2 = 4753.895, dw = -0.06207, nw = 1651 Venus_night.0016.ec.fits: ap = 67, w1 = 4815.509, w2 = 4713.956, dw = -0.06155, nw = 1651 Venus_night.0016.ec.fits: ap = 68, w1 = 4775.389, w2 = 4674.683, dw = -0.06103, nw = 1651 Venus_night.0016.ec.fits: ap = 69, w1 = 4735.931, w2 = 4636.059, dw = -0.06053, nw = 1651 Venus_night.0016.ec.fits: ap = 70, w1 = 4697.12, w2 = 4598.069, dw = -0.06003, nw = 1651 Venus_night.0016.ec.fits: ap = 71, w1 = 4658.941, w2 = 4560.696, dw = -0.05954, nw = 1651 Venus_night.0016.ec.fits: ap = 72, w1 = 4621.377, w2 = 4523.926, dw = -0.05906, nw = 1651 Venus_night.0016.ec.fits: ap = 73, w1 = 4584.414, w2 = 4487.745, dw = -0.05859, nw = 1651 Venus_night.0016.ec.fits: ap = 74, w1 = 4548.039, w2 = 4452.137, dw = -0.05812, nw = 1651 Venus_night.0016.ec.fits: ap = 75, w1 = 4512.236, w2 = 4417.091, dw = -0.05766, nw = 1651 Venus_night.0016.ec.fits: ap = 76, w1 = 4476.992, w2 = 4382.592, dw = -0.05721, nw = 1651 Venus_night.0016.ec.fits: ap = 77, w1 = 4442.295, w2 = 4348.629, dw = -0.05677, nw = 1651 Venus_night.0016.ec.fits: ap = 78, w1 = 4408.132, w2 = 4315.188, dw = -0.05633, nw = 1651 Venus_night.0016.ec.fits: ap = 79, w1 = 4374.491, w2 = 4282.257, dw = -0.0559, nw = 1651 Venus_night.0016.ec.fits: ap = 80, w1 = 4341.359, w2 = 4249.825, dw = -0.05547, nw = 1651 Venus_night.0016.ec.fits: ap = 81, w1 = 4308.725, w2 = 4217.882, dw = -0.05506, nw = 1651 Venus_night.0016.ec.fits: ap = 82, w1 = 4276.579, w2 = 4186.415, dw = -0.05464, nw = 1651 Venus_night.0016.ec.fits: ap = 83, w1 = 4244.908, w2 = 4155.414, dw = -0.05424, nw = 1651 Venus_night.0016.ec.fits: ap = 84, w1 = 4213.704, w2 = 4124.869, dw = -0.05384, nw = 1651 Venus_night.0016.ec.fits: ap = 85, w1 = 4182.955, w2 = 4094.771, dw = -0.05345, nw = 1651 Venus_night.0016.ec.fits: ap = 86, w1 = 4152.652, w2 = 4065.108, dw = -0.05306, nw = 1651 Venus_night.0016.ec.fits: ap = 87, w1 = 4122.784, w2 = 4035.872, dw = -0.05267, nw = 1651 Venus_night.0016.ec.fits: ap = 88, w1 = 4093.343, w2 = 4007.054, dw = -0.0523, nw = 1651 Venus_night.0016.ec.fits: ap = 89, w1 = 4064.32, w2 = 3978.645, dw = -0.05192, nw = 1651 Venus_night.0016.ec.fits: ap = 90, w1 = 4035.706, w2 = 3950.636, dw = -0.05156, nw = 1651 Venus_night.0016.ec.fits: ap = 91, w1 = 4007.492, w2 = 3923.019, dw = -0.0512, nw = 1651 Venus_night.0016.ec.fits: ap = 92, w1 = 3979.669, w2 = 3895.785, dw = -0.05084, nw = 1651 Venus_night.0016.ec.fits: ap = 93, w1 = 3952.231, w2 = 3868.927, dw = -0.05049, nw = 1651 Venus_night.0016.ec.fits: ap = 94, w1 = 3925.168, w2 = 3842.437, dw = -0.05014, nw = 1651 Venus_night.0016.ec.fits: ap = 95, w1 = 3898.473, w2 = 3816.308, dw = -0.0498, nw = 1651 Venus_night.0016.ec.fits: ap = 96, w1 = 3872.139, w2 = 3790.531, dw = -0.04946, nw = 1651 Venus_night.0016.ec.fits: ap = 97, w1 = 3846.158, w2 = 3765.101, dw = -0.04913, nw = 1651 Venus_night.0016.ec.fits: ap = 98, w1 = 3820.523, w2 = 3740.01, dw = -0.0488, nw = 1651 Venus_night.0016.ec.fits: ap = 99, w1 = 3795.228, w2 = 3715.251, dw = -0.04847, nw = 1651 Venus_night.0016.ec.fits: ap = 100, w1 = 3770.266, w2 = 3690.817, dw = -0.04815, nw = 1651 Venus_night.0016.ec.fits: ap = 101, w1 = 3745.63, w2 = 3666.704, dw = -0.04783, nw = 1651 Venus_night.0016.ec.fits: ap = 102, w1 = 3721.314, w2 = 3642.903, dw = -0.04752, nw = 1651 Venus_night.0016.ec.fits: ap = 103, w1 = 3697.311, w2 = 3619.409, dw = -0.04721, nw = 1651 Venus_night.0016.ec.fits: ap = 104, w1 = 3673.616, w2 = 3596.217, dw = -0.04691, nw = 1651 Venus_night.0016.ec.fits: ap = 105, w1 = 3650.222, w2 = 3573.32, dw = -0.04661, nw = 1651 Venus_night.0016.ec.fits: ap = 106, w1 = 3627.125, w2 = 3550.713, dw = -0.04631, nw = 1651 Venus_night.0016.ec.fits: ap = 107, w1 = 3604.318, w2 = 3528.39, dw = -0.04602, nw = 1651 Venus_night.0016.ec.fits: ap = 108, w1 = 3581.795, w2 = 3506.346, dw = -0.04573, nw = 1651 Venus_night.0016.ec.fits: ap = 109, w1 = 3559.553, w2 = 3484.576, dw = -0.04544, nw = 1651 Venus_night.0016.ec.fits: ap = 110, w1 = 3537.584, w2 = 3463.075, dw = -0.04516, nw = 1651 Venus_night.0016.ec.fits: ap = 111, w1 = 3515.885, w2 = 3441.838, dw = -0.04488, nw = 1651 Venus_night.0016.ec.fits: ap = 112, w1 = 3494.451, w2 = 3420.859, dw = -0.0446, nw = 1651 Venus_night.0016.ec.fits: ap = 113, w1 = 3473.276, w2 = 3400.135, dw = -0.04433, nw = 1651 Venus_night.0016.ec.fits: ap = 114, w1 = 3452.356, w2 = 3379.661, dw = -0.04406, nw = 1651 Venus_night.0016.ec.fits: ap = 115, w1 = 3431.686, w2 = 3359.431, dw = -0.04379, nw = 1651 Venus_night.0017.ec.fits: REFSPEC1 = 'ThAr.0003.ec 0.45884767' Venus_night.0017.ec.fits: REFSPEC2 = 'ThAr.0026.ec 0.54115236' Venus_night.0017.ec.fits: ap = 1, w1 = 10811.13, w2 = 10582.96, dw = -0.13829, nw = 1651 Venus_night.0017.ec.fits: ap = 2, w1 = 10610.95, w2 = 10387., dw = -0.13573, nw = 1651 Venus_night.0017.ec.fits: ap = 3, w1 = 10418.05, w2 = 10198.16, dw = -0.13326, nw = 1651 Venus_night.0017.ec.fits: ap = 4, w1 = 10232.03, w2 = 10016.07, dw = -0.13088, nw = 1651 Venus_night.0017.ec.fits: ap = 5, w1 = 10052.54, w2 = 9840.367, dw = -0.12859, nw = 1651 Venus_night.0017.ec.fits: ap = 6, w1 = 9879.238, w2 = 9670.722, dw = -0.12637, nw = 1651 Venus_night.0017.ec.fits: ap = 7, w1 = 9711.81, w2 = 9506.828, dw = -0.12423, nw = 1651 Venus_night.0017.ec.fits: ap = 8, w1 = 9549.963, w2 = 9348.397, dw = -0.12216, nw = 1651 Venus_night.0017.ec.fits: ap = 9, w1 = 9393.423, w2 = 9195.161, dw = -0.12016, nw = 1651 Venus_night.0017.ec.fits: ap = 10, w1 = 9241.931, w2 = 9046.867, dw = -0.11822, nw = 1651 Venus_night.0017.ec.fits: ap = 11, w1 = 9095.248, w2 = 8903.281, dw = -0.11634, nw = 1651 Venus_night.0017.ec.fits: ap = 12, w1 = 8953.149, w2 = 8764.182, dw = -0.11453, nw = 1651 Venus_night.0017.ec.fits: ap = 13, w1 = 8815.422, w2 = 8629.362, dw = -0.11276, nw = 1651 Venus_night.0017.ec.fits: ap = 14, w1 = 8681.868, w2 = 8498.628, dw = -0.11105, nw = 1651 Venus_night.0017.ec.fits: ap = 15, w1 = 8552.3, w2 = 8371.796, dw = -0.1094, nw = 1651 Venus_night.0017.ec.fits: ap = 16, w1 = 8426.543, w2 = 8248.695, dw = -0.10779, nw = 1651 Venus_night.0017.ec.fits: ap = 17, w1 = 8304.431, w2 = 8129.162, dw = -0.10622, nw = 1651 Venus_night.0017.ec.fits: ap = 18, w1 = 8185.808, w2 = 8013.044, dw = -0.10471, nw = 1651 Venus_night.0017.ec.fits: ap = 19, w1 = 8070.526, w2 = 7900.196, dw = -0.10323, nw = 1651 Venus_night.0017.ec.fits: ap = 20, w1 = 7958.446, w2 = 7790.484, dw = -0.1018, nw = 1651 Venus_night.0017.ec.fits: ap = 21, w1 = 7849.436, w2 = 7683.777, dw = -0.1004, nw = 1651 Venus_night.0017.ec.fits: ap = 22, w1 = 7743.373, w2 = 7579.954, dw = -0.09904, nw = 1651 Venus_night.0017.ec.fits: ap = 23, w1 = 7640.138, w2 = 7478.9, dw = -0.09772, nw = 1651 Venus_night.0017.ec.fits: ap = 24, w1 = 7539.619, w2 = 7380.505, dw = -0.09643, nw = 1651 Venus_night.0017.ec.fits: ap = 25, w1 = 7441.711, w2 = 7284.665, dw = -0.09518, nw = 1651 Venus_night.0017.ec.fits: ap = 26, w1 = 7346.314, w2 = 7191.283, dw = -0.09396, nw = 1651 Venus_night.0017.ec.fits: ap = 27, w1 = 7253.332, w2 = 7100.266, dw = -0.09277, nw = 1651 Venus_night.0017.ec.fits: ap = 28, w1 = 7162.674, w2 = 7011.523, dw = -0.09161, nw = 1651 Venus_night.0017.ec.fits: ap = 29, w1 = 7074.255, w2 = 6924.972, dw = -0.09047, nw = 1651 Venus_night.0017.ec.fits: ap = 30, w1 = 6987.992, w2 = 6840.532, dw = -0.08937, nw = 1651 Venus_night.0017.ec.fits: ap = 31, w1 = 6903.808, w2 = 6758.127, dw = -0.08829, nw = 1651 Venus_night.0017.ec.fits: ap = 32, w1 = 6821.628, w2 = 6677.683, dw = -0.08724, nw = 1651 Venus_night.0017.ec.fits: ap = 33, w1 = 6741.382, w2 = 6599.133, dw = -0.08621, nw = 1651 Venus_night.0017.ec.fits: ap = 34, w1 = 6663.002, w2 = 6522.409, dw = -0.08521, nw = 1651 Venus_night.0017.ec.fits: ap = 35, w1 = 6586.423, w2 = 6447.449, dw = -0.08423, nw = 1651 Venus_night.0017.ec.fits: ap = 36, w1 = 6511.586, w2 = 6374.193, dw = -0.08327, nw = 1651 Venus_night.0017.ec.fits: ap = 37, w1 = 6438.43, w2 = 6302.583, dw = -0.08233, nw = 1651 Venus_night.0017.ec.fits: ap = 38, w1 = 6366.9, w2 = 6232.565, dw = -0.08142, nw = 1651 Venus_night.0017.ec.fits: ap = 39, w1 = 6296.942, w2 = 6164.085, dw = -0.08052, nw = 1651 Venus_night.0017.ec.fits: ap = 40, w1 = 6228.505, w2 = 6097.094, dw = -0.07964, nw = 1651 Venus_night.0017.ec.fits: ap = 41, w1 = 6161.539, w2 = 6031.544, dw = -0.07879, nw = 1651 Venus_night.0017.ec.fits: ap = 42, w1 = 6095.999, w2 = 5967.389, dw = -0.07795, nw = 1651 Venus_night.0017.ec.fits: ap = 43, w1 = 6031.838, w2 = 5904.584, dw = -0.07712, nw = 1651 Venus_night.0017.ec.fits: ap = 44, w1 = 5969.015, w2 = 5843.088, dw = -0.07632, nw = 1651 Venus_night.0017.ec.fits: ap = 45, w1 = 5907.486, w2 = 5782.86, dw = -0.07553, nw = 1651 Venus_night.0017.ec.fits: ap = 46, w1 = 5847.214, w2 = 5723.861, dw = -0.07476, nw = 1651 Venus_night.0017.ec.fits: ap = 47, w1 = 5788.159, w2 = 5666.054, dw = -0.074, nw = 1651 Venus_night.0017.ec.fits: ap = 48, w1 = 5730.285, w2 = 5609.403, dw = -0.07326, nw = 1651 Venus_night.0017.ec.fits: ap = 49, w1 = 5673.557, w2 = 5553.874, dw = -0.07254, nw = 1651 Venus_night.0017.ec.fits: ap = 50, w1 = 5617.942, w2 = 5499.434, dw = -0.07182, nw = 1651 Venus_night.0017.ec.fits: ap = 51, w1 = 5563.407, w2 = 5446.052, dw = -0.07112, nw = 1651 Venus_night.0017.ec.fits: ap = 52, w1 = 5509.921, w2 = 5393.695, dw = -0.07044, nw = 1651 Venus_night.0017.ec.fits: ap = 53, w1 = 5457.453, w2 = 5342.337, dw = -0.06977, nw = 1651 Venus_night.0017.ec.fits: ap = 54, w1 = 5405.976, w2 = 5291.947, dw = -0.06911, nw = 1651 Venus_night.0017.ec.fits: ap = 55, w1 = 5355.461, w2 = 5242.499, dw = -0.06846, nw = 1651 Venus_night.0017.ec.fits: ap = 56, w1 = 5305.882, w2 = 5193.968, dw = -0.06783, nw = 1651 Venus_night.0017.ec.fits: ap = 57, w1 = 5257.212, w2 = 5146.326, dw = -0.0672, nw = 1651 Venus_night.0017.ec.fits: ap = 58, w1 = 5209.427, w2 = 5099.551, dw = -0.06659, nw = 1651 Venus_night.0017.ec.fits: ap = 59, w1 = 5162.504, w2 = 5053.619, dw = -0.06599, nw = 1651 Venus_night.0017.ec.fits: ap = 60, w1 = 5116.418, w2 = 5008.507, dw = -0.0654, nw = 1651 Venus_night.0017.ec.fits: ap = 61, w1 = 5071.148, w2 = 4964.194, dw = -0.06482, nw = 1651 Venus_night.0017.ec.fits: ap = 62, w1 = 5026.673, w2 = 4920.658, dw = -0.06425, nw = 1651 Venus_night.0017.ec.fits: ap = 63, w1 = 4982.971, w2 = 4877.88, dw = -0.06369, nw = 1651 Venus_night.0017.ec.fits: ap = 64, w1 = 4940.023, w2 = 4835.839, dw = -0.06314, nw = 1651 Venus_night.0017.ec.fits: ap = 65, w1 = 4897.809, w2 = 4794.517, dw = -0.0626, nw = 1651 Venus_night.0017.ec.fits: ap = 66, w1 = 4856.31, w2 = 4753.895, dw = -0.06207, nw = 1651 Venus_night.0017.ec.fits: ap = 67, w1 = 4815.509, w2 = 4713.956, dw = -0.06155, nw = 1651 Venus_night.0017.ec.fits: ap = 68, w1 = 4775.389, w2 = 4674.683, dw = -0.06103, nw = 1651 Venus_night.0017.ec.fits: ap = 69, w1 = 4735.931, w2 = 4636.059, dw = -0.06053, nw = 1651 Venus_night.0017.ec.fits: ap = 70, w1 = 4697.12, w2 = 4598.069, dw = -0.06003, nw = 1651 Venus_night.0017.ec.fits: ap = 71, w1 = 4658.941, w2 = 4560.696, dw = -0.05954, nw = 1651 Venus_night.0017.ec.fits: ap = 72, w1 = 4621.377, w2 = 4523.926, dw = -0.05906, nw = 1651 Venus_night.0017.ec.fits: ap = 73, w1 = 4584.415, w2 = 4487.744, dw = -0.05859, nw = 1651 Venus_night.0017.ec.fits: ap = 74, w1 = 4548.039, w2 = 4452.137, dw = -0.05812, nw = 1651 Venus_night.0017.ec.fits: ap = 75, w1 = 4512.236, w2 = 4417.091, dw = -0.05766, nw = 1651 Venus_night.0017.ec.fits: ap = 76, w1 = 4476.993, w2 = 4382.592, dw = -0.05721, nw = 1651 Venus_night.0017.ec.fits: ap = 77, w1 = 4442.296, w2 = 4348.629, dw = -0.05677, nw = 1651 Venus_night.0017.ec.fits: ap = 78, w1 = 4408.133, w2 = 4315.188, dw = -0.05633, nw = 1651 Venus_night.0017.ec.fits: ap = 79, w1 = 4374.492, w2 = 4282.257, dw = -0.0559, nw = 1651 Venus_night.0017.ec.fits: ap = 80, w1 = 4341.36, w2 = 4249.826, dw = -0.05548, nw = 1651 Venus_night.0017.ec.fits: ap = 81, w1 = 4308.727, w2 = 4217.882, dw = -0.05506, nw = 1651 Venus_night.0017.ec.fits: ap = 82, w1 = 4276.581, w2 = 4186.415, dw = -0.05465, nw = 1651 Venus_night.0017.ec.fits: ap = 83, w1 = 4244.911, w2 = 4155.415, dw = -0.05424, nw = 1651 Venus_night.0017.ec.fits: ap = 84, w1 = 4213.707, w2 = 4124.87, dw = -0.05384, nw = 1651 Venus_night.0017.ec.fits: ap = 85, w1 = 4182.958, w2 = 4094.771, dw = -0.05345, nw = 1651 Venus_night.0017.ec.fits: ap = 86, w1 = 4152.655, w2 = 4065.109, dw = -0.05306, nw = 1651 Venus_night.0017.ec.fits: ap = 87, w1 = 4122.788, w2 = 4035.873, dw = -0.05268, nw = 1651 Venus_night.0017.ec.fits: ap = 88, w1 = 4093.347, w2 = 4007.055, dw = -0.0523, nw = 1651 Venus_night.0017.ec.fits: ap = 89, w1 = 4064.325, w2 = 3978.646, dw = -0.05193, nw = 1651 Venus_night.0017.ec.fits: ap = 90, w1 = 4035.711, w2 = 3950.638, dw = -0.05156, nw = 1651 Venus_night.0017.ec.fits: ap = 91, w1 = 4007.498, w2 = 3923.021, dw = -0.0512, nw = 1651 Venus_night.0017.ec.fits: ap = 92, w1 = 3979.676, w2 = 3895.787, dw = -0.05084, nw = 1651 Venus_night.0017.ec.fits: ap = 93, w1 = 3952.237, w2 = 3868.93, dw = -0.05049, nw = 1651 Venus_night.0017.ec.fits: ap = 94, w1 = 3925.175, w2 = 3842.44, dw = -0.05014, nw = 1651 Venus_night.0017.ec.fits: ap = 95, w1 = 3898.481, w2 = 3816.31, dw = -0.0498, nw = 1651 Venus_night.0017.ec.fits: ap = 96, w1 = 3872.147, w2 = 3790.534, dw = -0.04946, nw = 1651 Venus_night.0017.ec.fits: ap = 97, w1 = 3846.167, w2 = 3765.104, dw = -0.04913, nw = 1651 Venus_night.0017.ec.fits: ap = 98, w1 = 3820.534, w2 = 3740.013, dw = -0.0488, nw = 1651 Venus_night.0017.ec.fits: ap = 99, w1 = 3795.239, w2 = 3715.254, dw = -0.04848, nw = 1651 Venus_night.0017.ec.fits: ap = 100, w1 = 3770.278, w2 = 3690.821, dw = -0.04816, nw = 1651 Venus_night.0017.ec.fits: ap = 101, w1 = 3745.643, w2 = 3666.708, dw = -0.04784, nw = 1651 Venus_night.0017.ec.fits: ap = 102, w1 = 3721.327, w2 = 3642.908, dw = -0.04753, nw = 1651 Venus_night.0017.ec.fits: ap = 103, w1 = 3697.325, w2 = 3619.414, dw = -0.04722, nw = 1651 Venus_night.0017.ec.fits: ap = 104, w1 = 3673.631, w2 = 3596.222, dw = -0.04691, nw = 1651 Venus_night.0017.ec.fits: ap = 105, w1 = 3650.239, w2 = 3573.326, dw = -0.04661, nw = 1651 Venus_night.0017.ec.fits: ap = 106, w1 = 3627.142, w2 = 3550.719, dw = -0.04632, nw = 1651 Venus_night.0017.ec.fits: ap = 107, w1 = 3604.336, w2 = 3528.397, dw = -0.04602, nw = 1651 Venus_night.0017.ec.fits: ap = 108, w1 = 3581.815, w2 = 3506.354, dw = -0.04573, nw = 1651 Venus_night.0017.ec.fits: ap = 109, w1 = 3559.574, w2 = 3484.584, dw = -0.04545, nw = 1651 Venus_night.0017.ec.fits: ap = 110, w1 = 3537.607, w2 = 3463.084, dw = -0.04517, nw = 1651 Venus_night.0017.ec.fits: ap = 111, w1 = 3515.909, w2 = 3441.847, dw = -0.04489, nw = 1651 Venus_night.0017.ec.fits: ap = 112, w1 = 3494.476, w2 = 3420.869, dw = -0.04461, nw = 1651 Venus_night.0017.ec.fits: ap = 113, w1 = 3473.302, w2 = 3400.145, dw = -0.04434, nw = 1651 Venus_night.0017.ec.fits: ap = 114, w1 = 3452.383, w2 = 3379.671, dw = -0.04407, nw = 1651 Venus_night.0017.ec.fits: ap = 115, w1 = 3431.715, w2 = 3359.442, dw = -0.0438, nw = 1651 Venus_night.0018.ec.fits: REFSPEC1 = 'ThAr.0003.ec 0.38117704' Venus_night.0018.ec.fits: REFSPEC2 = 'ThAr.0026.ec 0.61882299' Venus_night.0018.ec.fits: ap = 1, w1 = 10811.14, w2 = 10582.96, dw = -0.13829, nw = 1651 Venus_night.0018.ec.fits: ap = 2, w1 = 10610.95, w2 = 10387., dw = -0.13573, nw = 1651 Venus_night.0018.ec.fits: ap = 3, w1 = 10418.05, w2 = 10198.16, dw = -0.13326, nw = 1651 Venus_night.0018.ec.fits: ap = 4, w1 = 10232.03, w2 = 10016.07, dw = -0.13088, nw = 1651 Venus_night.0018.ec.fits: ap = 5, w1 = 10052.54, w2 = 9840.367, dw = -0.12859, nw = 1651 Venus_night.0018.ec.fits: ap = 6, w1 = 9879.238, w2 = 9670.723, dw = -0.12637, nw = 1651 Venus_night.0018.ec.fits: ap = 7, w1 = 9711.811, w2 = 9506.829, dw = -0.12423, nw = 1651 Venus_night.0018.ec.fits: ap = 8, w1 = 9549.964, w2 = 9348.398, dw = -0.12216, nw = 1651 Venus_night.0018.ec.fits: ap = 9, w1 = 9393.423, w2 = 9195.161, dw = -0.12016, nw = 1651 Venus_night.0018.ec.fits: ap = 10, w1 = 9241.931, w2 = 9046.867, dw = -0.11822, nw = 1651 Venus_night.0018.ec.fits: ap = 11, w1 = 9095.249, w2 = 8903.281, dw = -0.11634, nw = 1651 Venus_night.0018.ec.fits: ap = 12, w1 = 8953.149, w2 = 8764.182, dw = -0.11453, nw = 1651 Venus_night.0018.ec.fits: ap = 13, w1 = 8815.422, w2 = 8629.362, dw = -0.11276, nw = 1651 Venus_night.0018.ec.fits: ap = 14, w1 = 8681.868, w2 = 8498.628, dw = -0.11105, nw = 1651 Venus_night.0018.ec.fits: ap = 15, w1 = 8552.3, w2 = 8371.797, dw = -0.1094, nw = 1651 Venus_night.0018.ec.fits: ap = 16, w1 = 8426.543, w2 = 8248.695, dw = -0.10779, nw = 1651 Venus_night.0018.ec.fits: ap = 17, w1 = 8304.431, w2 = 8129.162, dw = -0.10622, nw = 1651 Venus_night.0018.ec.fits: ap = 18, w1 = 8185.808, w2 = 8013.044, dw = -0.10471, nw = 1651 Venus_night.0018.ec.fits: ap = 19, w1 = 8070.526, w2 = 7900.197, dw = -0.10323, nw = 1651 Venus_night.0018.ec.fits: ap = 20, w1 = 7958.446, w2 = 7790.484, dw = -0.1018, nw = 1651 Venus_night.0018.ec.fits: ap = 21, w1 = 7849.436, w2 = 7683.777, dw = -0.1004, nw = 1651 Venus_night.0018.ec.fits: ap = 22, w1 = 7743.373, w2 = 7579.954, dw = -0.09904, nw = 1651 Venus_night.0018.ec.fits: ap = 23, w1 = 7640.138, w2 = 7478.9, dw = -0.09772, nw = 1651 Venus_night.0018.ec.fits: ap = 24, w1 = 7539.619, w2 = 7380.505, dw = -0.09643, nw = 1651 Venus_night.0018.ec.fits: ap = 25, w1 = 7441.712, w2 = 7284.666, dw = -0.09518, nw = 1651 Venus_night.0018.ec.fits: ap = 26, w1 = 7346.314, w2 = 7191.284, dw = -0.09396, nw = 1651 Venus_night.0018.ec.fits: ap = 27, w1 = 7253.332, w2 = 7100.266, dw = -0.09277, nw = 1651 Venus_night.0018.ec.fits: ap = 28, w1 = 7162.674, w2 = 7011.524, dw = -0.09161, nw = 1651 Venus_night.0018.ec.fits: ap = 29, w1 = 7074.255, w2 = 6924.973, dw = -0.09047, nw = 1651 Venus_night.0018.ec.fits: ap = 30, w1 = 6987.992, w2 = 6840.533, dw = -0.08937, nw = 1651 Venus_night.0018.ec.fits: ap = 31, w1 = 6903.808, w2 = 6758.127, dw = -0.08829, nw = 1651 Venus_night.0018.ec.fits: ap = 32, w1 = 6821.628, w2 = 6677.684, dw = -0.08724, nw = 1651 Venus_night.0018.ec.fits: ap = 33, w1 = 6741.382, w2 = 6599.133, dw = -0.08621, nw = 1651 Venus_night.0018.ec.fits: ap = 34, w1 = 6663.002, w2 = 6522.41, dw = -0.08521, nw = 1651 Venus_night.0018.ec.fits: ap = 35, w1 = 6586.424, w2 = 6447.45, dw = -0.08423, nw = 1651 Venus_night.0018.ec.fits: ap = 36, w1 = 6511.586, w2 = 6374.194, dw = -0.08327, nw = 1651 Venus_night.0018.ec.fits: ap = 37, w1 = 6438.43, w2 = 6302.584, dw = -0.08233, nw = 1651 Venus_night.0018.ec.fits: ap = 38, w1 = 6366.9, w2 = 6232.565, dw = -0.08142, nw = 1651 Venus_night.0018.ec.fits: ap = 39, w1 = 6296.942, w2 = 6164.086, dw = -0.08052, nw = 1651 Venus_night.0018.ec.fits: ap = 40, w1 = 6228.505, w2 = 6097.095, dw = -0.07964, nw = 1651 Venus_night.0018.ec.fits: ap = 41, w1 = 6161.54, w2 = 6031.544, dw = -0.07879, nw = 1651 Venus_night.0018.ec.fits: ap = 42, w1 = 6095.999, w2 = 5967.389, dw = -0.07795, nw = 1651 Venus_night.0018.ec.fits: ap = 43, w1 = 6031.839, w2 = 5904.584, dw = -0.07712, nw = 1651 Venus_night.0018.ec.fits: ap = 44, w1 = 5969.015, w2 = 5843.088, dw = -0.07632, nw = 1651 Venus_night.0018.ec.fits: ap = 45, w1 = 5907.487, w2 = 5782.86, dw = -0.07553, nw = 1651 Venus_night.0018.ec.fits: ap = 46, w1 = 5847.214, w2 = 5723.861, dw = -0.07476, nw = 1651 Venus_night.0018.ec.fits: ap = 47, w1 = 5788.159, w2 = 5666.054, dw = -0.074, nw = 1651 Venus_night.0018.ec.fits: ap = 48, w1 = 5730.285, w2 = 5609.403, dw = -0.07326, nw = 1651 Venus_night.0018.ec.fits: ap = 49, w1 = 5673.558, w2 = 5553.875, dw = -0.07254, nw = 1651 Venus_night.0018.ec.fits: ap = 50, w1 = 5617.943, w2 = 5499.435, dw = -0.07182, nw = 1651 Venus_night.0018.ec.fits: ap = 51, w1 = 5563.407, w2 = 5446.052, dw = -0.07112, nw = 1651 Venus_night.0018.ec.fits: ap = 52, w1 = 5509.921, w2 = 5393.696, dw = -0.07044, nw = 1651 Venus_night.0018.ec.fits: ap = 53, w1 = 5457.454, w2 = 5342.337, dw = -0.06977, nw = 1651 Venus_night.0018.ec.fits: ap = 54, w1 = 5405.976, w2 = 5291.947, dw = -0.06911, nw = 1651 Venus_night.0018.ec.fits: ap = 55, w1 = 5355.461, w2 = 5242.5, dw = -0.06846, nw = 1651 Venus_night.0018.ec.fits: ap = 56, w1 = 5305.882, w2 = 5193.968, dw = -0.06783, nw = 1651 Venus_night.0018.ec.fits: ap = 57, w1 = 5257.212, w2 = 5146.326, dw = -0.0672, nw = 1651 Venus_night.0018.ec.fits: ap = 58, w1 = 5209.427, w2 = 5099.551, dw = -0.06659, nw = 1651 Venus_night.0018.ec.fits: ap = 59, w1 = 5162.504, w2 = 5053.619, dw = -0.06599, nw = 1651 Venus_night.0018.ec.fits: ap = 60, w1 = 5116.418, w2 = 5008.507, dw = -0.0654, nw = 1651 Venus_night.0018.ec.fits: ap = 61, w1 = 5071.148, w2 = 4964.194, dw = -0.06482, nw = 1651 Venus_night.0018.ec.fits: ap = 62, w1 = 5026.673, w2 = 4920.658, dw = -0.06425, nw = 1651 Venus_night.0018.ec.fits: ap = 63, w1 = 4982.971, w2 = 4877.88, dw = -0.06369, nw = 1651 Venus_night.0018.ec.fits: ap = 64, w1 = 4940.023, w2 = 4835.839, dw = -0.06314, nw = 1651 Venus_night.0018.ec.fits: ap = 65, w1 = 4897.809, w2 = 4794.517, dw = -0.0626, nw = 1651 Venus_night.0018.ec.fits: ap = 66, w1 = 4856.31, w2 = 4753.895, dw = -0.06207, nw = 1651 Venus_night.0018.ec.fits: ap = 67, w1 = 4815.509, w2 = 4713.956, dw = -0.06155, nw = 1651 Venus_night.0018.ec.fits: ap = 68, w1 = 4775.389, w2 = 4674.683, dw = -0.06103, nw = 1651 Venus_night.0018.ec.fits: ap = 69, w1 = 4735.931, w2 = 4636.059, dw = -0.06053, nw = 1651 Venus_night.0018.ec.fits: ap = 70, w1 = 4697.121, w2 = 4598.069, dw = -0.06003, nw = 1651 Venus_night.0018.ec.fits: ap = 71, w1 = 4658.941, w2 = 4560.696, dw = -0.05954, nw = 1651 Venus_night.0018.ec.fits: ap = 72, w1 = 4621.378, w2 = 4523.926, dw = -0.05906, nw = 1651 Venus_night.0018.ec.fits: ap = 73, w1 = 4584.415, w2 = 4487.744, dw = -0.05859, nw = 1651 Venus_night.0018.ec.fits: ap = 74, w1 = 4548.04, w2 = 4452.137, dw = -0.05812, nw = 1651 Venus_night.0018.ec.fits: ap = 75, w1 = 4512.237, w2 = 4417.091, dw = -0.05766, nw = 1651 Venus_night.0018.ec.fits: ap = 76, w1 = 4476.994, w2 = 4382.592, dw = -0.05721, nw = 1651 Venus_night.0018.ec.fits: ap = 77, w1 = 4442.297, w2 = 4348.629, dw = -0.05677, nw = 1651 Venus_night.0018.ec.fits: ap = 78, w1 = 4408.134, w2 = 4315.188, dw = -0.05633, nw = 1651 Venus_night.0018.ec.fits: ap = 79, w1 = 4374.493, w2 = 4282.257, dw = -0.0559, nw = 1651 Venus_night.0018.ec.fits: ap = 80, w1 = 4341.362, w2 = 4249.826, dw = -0.05548, nw = 1651 Venus_night.0018.ec.fits: ap = 81, w1 = 4308.729, w2 = 4217.882, dw = -0.05506, nw = 1651 Venus_night.0018.ec.fits: ap = 82, w1 = 4276.583, w2 = 4186.416, dw = -0.05465, nw = 1651 Venus_night.0018.ec.fits: ap = 83, w1 = 4244.913, w2 = 4155.415, dw = -0.05424, nw = 1651 Venus_night.0018.ec.fits: ap = 84, w1 = 4213.709, w2 = 4124.871, dw = -0.05384, nw = 1651 Venus_night.0018.ec.fits: ap = 85, w1 = 4182.961, w2 = 4094.772, dw = -0.05345, nw = 1651 Venus_night.0018.ec.fits: ap = 86, w1 = 4152.659, w2 = 4065.11, dw = -0.05306, nw = 1651 Venus_night.0018.ec.fits: ap = 87, w1 = 4122.792, w2 = 4035.874, dw = -0.05268, nw = 1651 Venus_night.0018.ec.fits: ap = 88, w1 = 4093.352, w2 = 4007.056, dw = -0.0523, nw = 1651 Venus_night.0018.ec.fits: ap = 89, w1 = 4064.33, w2 = 3978.648, dw = -0.05193, nw = 1651 Venus_night.0018.ec.fits: ap = 90, w1 = 4035.716, w2 = 3950.639, dw = -0.05156, nw = 1651 Venus_night.0018.ec.fits: ap = 91, w1 = 4007.503, w2 = 3923.023, dw = -0.0512, nw = 1651 Venus_night.0018.ec.fits: ap = 92, w1 = 3979.682, w2 = 3895.789, dw = -0.05084, nw = 1651 Venus_night.0018.ec.fits: ap = 93, w1 = 3952.244, w2 = 3868.932, dw = -0.05049, nw = 1651 Venus_night.0018.ec.fits: ap = 94, w1 = 3925.183, w2 = 3842.442, dw = -0.05015, nw = 1651 Venus_night.0018.ec.fits: ap = 95, w1 = 3898.489, w2 = 3816.313, dw = -0.0498, nw = 1651 Venus_night.0018.ec.fits: ap = 96, w1 = 3872.156, w2 = 3790.537, dw = -0.04947, nw = 1651 Venus_night.0018.ec.fits: ap = 97, w1 = 3846.177, w2 = 3765.107, dw = -0.04913, nw = 1651 Venus_night.0018.ec.fits: ap = 98, w1 = 3820.544, w2 = 3740.016, dw = -0.0488, nw = 1651 Venus_night.0018.ec.fits: ap = 99, w1 = 3795.25, w2 = 3715.258, dw = -0.04848, nw = 1651 Venus_night.0018.ec.fits: ap = 100, w1 = 3770.29, w2 = 3690.825, dw = -0.04816, nw = 1651 Venus_night.0018.ec.fits: ap = 101, w1 = 3745.655, w2 = 3666.712, dw = -0.04784, nw = 1651 Venus_night.0018.ec.fits: ap = 102, w1 = 3721.341, w2 = 3642.912, dw = -0.04753, nw = 1651 Venus_night.0018.ec.fits: ap = 103, w1 = 3697.34, w2 = 3619.42, dw = -0.04722, nw = 1651 Venus_night.0018.ec.fits: ap = 104, w1 = 3673.647, w2 = 3596.228, dw = -0.04692, nw = 1651 Venus_night.0018.ec.fits: ap = 105, w1 = 3650.255, w2 = 3573.332, dw = -0.04662, nw = 1651 Venus_night.0018.ec.fits: ap = 106, w1 = 3627.16, w2 = 3550.726, dw = -0.04632, nw = 1651 Venus_night.0018.ec.fits: ap = 107, w1 = 3604.355, w2 = 3528.404, dw = -0.04603, nw = 1651 Venus_night.0018.ec.fits: ap = 108, w1 = 3581.835, w2 = 3506.361, dw = -0.04574, nw = 1651 Venus_night.0018.ec.fits: ap = 109, w1 = 3559.595, w2 = 3484.592, dw = -0.04546, nw = 1651 Venus_night.0018.ec.fits: ap = 110, w1 = 3537.629, w2 = 3463.092, dw = -0.04517, nw = 1651 Venus_night.0018.ec.fits: ap = 111, w1 = 3515.932, w2 = 3441.856, dw = -0.0449, nw = 1651 Venus_night.0018.ec.fits: ap = 112, w1 = 3494.501, w2 = 3420.878, dw = -0.04462, nw = 1651 Venus_night.0018.ec.fits: ap = 113, w1 = 3473.328, w2 = 3400.155, dw = -0.04435, nw = 1651 Venus_night.0018.ec.fits: ap = 114, w1 = 3452.411, w2 = 3379.682, dw = -0.04408, nw = 1651 Venus_night.0018.ec.fits: ap = 115, w1 = 3431.744, w2 = 3359.454, dw = -0.04381, nw = 1651 Venus_night.0019.ec.fits: REFSPEC1 = 'ThAr.0003.ec 0.30359071' Venus_night.0019.ec.fits: REFSPEC2 = 'ThAr.0026.ec 0.69640929' Venus_night.0019.ec.fits: ap = 1, w1 = 10811.14, w2 = 10582.96, dw = -0.13829, nw = 1651 Venus_night.0019.ec.fits: ap = 2, w1 = 10610.95, w2 = 10387., dw = -0.13573, nw = 1651 Venus_night.0019.ec.fits: ap = 3, w1 = 10418.05, w2 = 10198.16, dw = -0.13326, nw = 1651 Venus_night.0019.ec.fits: ap = 4, w1 = 10232.03, w2 = 10016.07, dw = -0.13089, nw = 1651 Venus_night.0019.ec.fits: ap = 5, w1 = 10052.54, w2 = 9840.368, dw = -0.12859, nw = 1651 Venus_night.0019.ec.fits: ap = 6, w1 = 9879.239, w2 = 9670.723, dw = -0.12637, nw = 1651 Venus_night.0019.ec.fits: ap = 7, w1 = 9711.812, w2 = 9506.829, dw = -0.12423, nw = 1651 Venus_night.0019.ec.fits: ap = 8, w1 = 9549.964, w2 = 9348.398, dw = -0.12216, nw = 1651 Venus_night.0019.ec.fits: ap = 9, w1 = 9393.423, w2 = 9195.161, dw = -0.12016, nw = 1651 Venus_night.0019.ec.fits: ap = 10, w1 = 9241.932, w2 = 9046.867, dw = -0.11822, nw = 1651 Venus_night.0019.ec.fits: ap = 11, w1 = 9095.249, w2 = 8903.281, dw = -0.11634, nw = 1651 Venus_night.0019.ec.fits: ap = 12, w1 = 8953.149, w2 = 8764.182, dw = -0.11453, nw = 1651 Venus_night.0019.ec.fits: ap = 13, w1 = 8815.422, w2 = 8629.362, dw = -0.11276, nw = 1651 Venus_night.0019.ec.fits: ap = 14, w1 = 8681.868, w2 = 8498.628, dw = -0.11105, nw = 1651 Venus_night.0019.ec.fits: ap = 15, w1 = 8552.3, w2 = 8371.797, dw = -0.1094, nw = 1651 Venus_night.0019.ec.fits: ap = 16, w1 = 8426.543, w2 = 8248.695, dw = -0.10779, nw = 1651 Venus_night.0019.ec.fits: ap = 17, w1 = 8304.431, w2 = 8129.162, dw = -0.10622, nw = 1651 Venus_night.0019.ec.fits: ap = 18, w1 = 8185.808, w2 = 8013.044, dw = -0.10471, nw = 1651 Venus_night.0019.ec.fits: ap = 19, w1 = 8070.526, w2 = 7900.197, dw = -0.10323, nw = 1651 Venus_night.0019.ec.fits: ap = 20, w1 = 7958.446, w2 = 7790.484, dw = -0.1018, nw = 1651 Venus_night.0019.ec.fits: ap = 21, w1 = 7849.437, w2 = 7683.777, dw = -0.1004, nw = 1651 Venus_night.0019.ec.fits: ap = 22, w1 = 7743.373, w2 = 7579.955, dw = -0.09904, nw = 1651 Venus_night.0019.ec.fits: ap = 23, w1 = 7640.138, w2 = 7478.9, dw = -0.09772, nw = 1651 Venus_night.0019.ec.fits: ap = 24, w1 = 7539.62, w2 = 7380.505, dw = -0.09643, nw = 1651 Venus_night.0019.ec.fits: ap = 25, w1 = 7441.712, w2 = 7284.666, dw = -0.09518, nw = 1651 Venus_night.0019.ec.fits: ap = 26, w1 = 7346.315, w2 = 7191.284, dw = -0.09396, nw = 1651 Venus_night.0019.ec.fits: ap = 27, w1 = 7253.332, w2 = 7100.266, dw = -0.09277, nw = 1651 Venus_night.0019.ec.fits: ap = 28, w1 = 7162.675, w2 = 7011.524, dw = -0.09161, nw = 1651 Venus_night.0019.ec.fits: ap = 29, w1 = 7074.255, w2 = 6924.973, dw = -0.09047, nw = 1651 Venus_night.0019.ec.fits: ap = 30, w1 = 6987.993, w2 = 6840.533, dw = -0.08937, nw = 1651 Venus_night.0019.ec.fits: ap = 31, w1 = 6903.808, w2 = 6758.128, dw = -0.08829, nw = 1651 Venus_night.0019.ec.fits: ap = 32, w1 = 6821.629, w2 = 6677.684, dw = -0.08724, nw = 1651 Venus_night.0019.ec.fits: ap = 33, w1 = 6741.383, w2 = 6599.134, dw = -0.08621, nw = 1651 Venus_night.0019.ec.fits: ap = 34, w1 = 6663.003, w2 = 6522.41, dw = -0.08521, nw = 1651 Venus_night.0019.ec.fits: ap = 35, w1 = 6586.425, w2 = 6447.45, dw = -0.08423, nw = 1651 Venus_night.0019.ec.fits: ap = 36, w1 = 6511.587, w2 = 6374.194, dw = -0.08327, nw = 1651 Venus_night.0019.ec.fits: ap = 37, w1 = 6438.431, w2 = 6302.584, dw = -0.08233, nw = 1651 Venus_night.0019.ec.fits: ap = 38, w1 = 6366.901, w2 = 6232.566, dw = -0.08142, nw = 1651 Venus_night.0019.ec.fits: ap = 39, w1 = 6296.943, w2 = 6164.086, dw = -0.08052, nw = 1651 Venus_night.0019.ec.fits: ap = 40, w1 = 6228.506, w2 = 6097.095, dw = -0.07964, nw = 1651 Venus_night.0019.ec.fits: ap = 41, w1 = 6161.54, w2 = 6031.545, dw = -0.07879, nw = 1651 Venus_night.0019.ec.fits: ap = 42, w1 = 6096., w2 = 5967.39, dw = -0.07795, nw = 1651 Venus_night.0019.ec.fits: ap = 43, w1 = 6031.839, w2 = 5904.585, dw = -0.07712, nw = 1651 Venus_night.0019.ec.fits: ap = 44, w1 = 5969.015, w2 = 5843.089, dw = -0.07632, nw = 1651 Venus_night.0019.ec.fits: ap = 45, w1 = 5907.487, w2 = 5782.861, dw = -0.07553, nw = 1651 Venus_night.0019.ec.fits: ap = 46, w1 = 5847.214, w2 = 5723.862, dw = -0.07476, nw = 1651 Venus_night.0019.ec.fits: ap = 47, w1 = 5788.159, w2 = 5666.055, dw = -0.074, nw = 1651 Venus_night.0019.ec.fits: ap = 48, w1 = 5730.286, w2 = 5609.404, dw = -0.07326, nw = 1651 Venus_night.0019.ec.fits: ap = 49, w1 = 5673.558, w2 = 5553.875, dw = -0.07254, nw = 1651 Venus_night.0019.ec.fits: ap = 50, w1 = 5617.943, w2 = 5499.435, dw = -0.07182, nw = 1651 Venus_night.0019.ec.fits: ap = 51, w1 = 5563.407, w2 = 5446.052, dw = -0.07112, nw = 1651 Venus_night.0019.ec.fits: ap = 52, w1 = 5509.921, w2 = 5393.696, dw = -0.07044, nw = 1651 Venus_night.0019.ec.fits: ap = 53, w1 = 5457.454, w2 = 5342.337, dw = -0.06977, nw = 1651 Venus_night.0019.ec.fits: ap = 54, w1 = 5405.976, w2 = 5291.948, dw = -0.06911, nw = 1651 Venus_night.0019.ec.fits: ap = 55, w1 = 5355.461, w2 = 5242.5, dw = -0.06846, nw = 1651 Venus_night.0019.ec.fits: ap = 56, w1 = 5305.882, w2 = 5193.968, dw = -0.06783, nw = 1651 Venus_night.0019.ec.fits: ap = 57, w1 = 5257.212, w2 = 5146.327, dw = -0.0672, nw = 1651 Venus_night.0019.ec.fits: ap = 58, w1 = 5209.427, w2 = 5099.551, dw = -0.06659, nw = 1651 Venus_night.0019.ec.fits: ap = 59, w1 = 5162.503, w2 = 5053.619, dw = -0.06599, nw = 1651 Venus_night.0019.ec.fits: ap = 60, w1 = 5116.418, w2 = 5008.507, dw = -0.0654, nw = 1651 Venus_night.0019.ec.fits: ap = 61, w1 = 5071.148, w2 = 4964.194, dw = -0.06482, nw = 1651 Venus_night.0019.ec.fits: ap = 62, w1 = 5026.673, w2 = 4920.658, dw = -0.06425, nw = 1651 Venus_night.0019.ec.fits: ap = 63, w1 = 4982.971, w2 = 4877.88, dw = -0.06369, nw = 1651 Venus_night.0019.ec.fits: ap = 64, w1 = 4940.023, w2 = 4835.839, dw = -0.06314, nw = 1651 Venus_night.0019.ec.fits: ap = 65, w1 = 4897.809, w2 = 4794.517, dw = -0.0626, nw = 1651 Venus_night.0019.ec.fits: ap = 66, w1 = 4856.31, w2 = 4753.895, dw = -0.06207, nw = 1651 Venus_night.0019.ec.fits: ap = 67, w1 = 4815.509, w2 = 4713.956, dw = -0.06155, nw = 1651 Venus_night.0019.ec.fits: ap = 68, w1 = 4775.389, w2 = 4674.683, dw = -0.06103, nw = 1651 Venus_night.0019.ec.fits: ap = 69, w1 = 4735.931, w2 = 4636.059, dw = -0.06053, nw = 1651 Venus_night.0019.ec.fits: ap = 70, w1 = 4697.121, w2 = 4598.068, dw = -0.06003, nw = 1651 Venus_night.0019.ec.fits: ap = 71, w1 = 4658.941, w2 = 4560.696, dw = -0.05954, nw = 1651 Venus_night.0019.ec.fits: ap = 72, w1 = 4621.378, w2 = 4523.926, dw = -0.05906, nw = 1651 Venus_night.0019.ec.fits: ap = 73, w1 = 4584.416, w2 = 4487.744, dw = -0.05859, nw = 1651 Venus_night.0019.ec.fits: ap = 74, w1 = 4548.04, w2 = 4452.137, dw = -0.05812, nw = 1651 Venus_night.0019.ec.fits: ap = 75, w1 = 4512.238, w2 = 4417.091, dw = -0.05766, nw = 1651 Venus_night.0019.ec.fits: ap = 76, w1 = 4476.995, w2 = 4382.592, dw = -0.05721, nw = 1651 Venus_night.0019.ec.fits: ap = 77, w1 = 4442.298, w2 = 4348.629, dw = -0.05677, nw = 1651 Venus_night.0019.ec.fits: ap = 78, w1 = 4408.136, w2 = 4315.188, dw = -0.05633, nw = 1651 Venus_night.0019.ec.fits: ap = 79, w1 = 4374.495, w2 = 4282.257, dw = -0.0559, nw = 1651 Venus_night.0019.ec.fits: ap = 80, w1 = 4341.364, w2 = 4249.826, dw = -0.05548, nw = 1651 Venus_night.0019.ec.fits: ap = 81, w1 = 4308.731, w2 = 4217.883, dw = -0.05506, nw = 1651 Venus_night.0019.ec.fits: ap = 82, w1 = 4276.585, w2 = 4186.416, dw = -0.05465, nw = 1651 Venus_night.0019.ec.fits: ap = 83, w1 = 4244.916, w2 = 4155.416, dw = -0.05424, nw = 1651 Venus_night.0019.ec.fits: ap = 84, w1 = 4213.712, w2 = 4124.871, dw = -0.05384, nw = 1651 Venus_night.0019.ec.fits: ap = 85, w1 = 4182.964, w2 = 4094.773, dw = -0.05345, nw = 1651 Venus_night.0019.ec.fits: ap = 86, w1 = 4152.662, w2 = 4065.111, dw = -0.05306, nw = 1651 Venus_night.0019.ec.fits: ap = 87, w1 = 4122.796, w2 = 4035.875, dw = -0.05268, nw = 1651 Venus_night.0019.ec.fits: ap = 88, w1 = 4093.356, w2 = 4007.058, dw = -0.0523, nw = 1651 Venus_night.0019.ec.fits: ap = 89, w1 = 4064.334, w2 = 3978.649, dw = -0.05193, nw = 1651 Venus_night.0019.ec.fits: ap = 90, w1 = 4035.722, w2 = 3950.641, dw = -0.05156, nw = 1651 Venus_night.0019.ec.fits: ap = 91, w1 = 4007.509, w2 = 3923.024, dw = -0.0512, nw = 1651 Venus_night.0019.ec.fits: ap = 92, w1 = 3979.688, w2 = 3895.791, dw = -0.05085, nw = 1651 Venus_night.0019.ec.fits: ap = 93, w1 = 3952.251, w2 = 3868.934, dw = -0.0505, nw = 1651 Venus_night.0019.ec.fits: ap = 94, w1 = 3925.19, w2 = 3842.444, dw = -0.05015, nw = 1651 Venus_night.0019.ec.fits: ap = 95, w1 = 3898.497, w2 = 3816.316, dw = -0.04981, nw = 1651 Venus_night.0019.ec.fits: ap = 96, w1 = 3872.165, w2 = 3790.54, dw = -0.04947, nw = 1651 Venus_night.0019.ec.fits: ap = 97, w1 = 3846.186, w2 = 3765.11, dw = -0.04914, nw = 1651 Venus_night.0019.ec.fits: ap = 98, w1 = 3820.554, w2 = 3740.02, dw = -0.04881, nw = 1651 Venus_night.0019.ec.fits: ap = 99, w1 = 3795.261, w2 = 3715.262, dw = -0.04848, nw = 1651 Venus_night.0019.ec.fits: ap = 100, w1 = 3770.301, w2 = 3690.829, dw = -0.04816, nw = 1651 Venus_night.0019.ec.fits: ap = 101, w1 = 3745.668, w2 = 3666.717, dw = -0.04785, nw = 1651 Venus_night.0019.ec.fits: ap = 102, w1 = 3721.354, w2 = 3642.917, dw = -0.04754, nw = 1651 Venus_night.0019.ec.fits: ap = 103, w1 = 3697.354, w2 = 3619.425, dw = -0.04723, nw = 1651 Venus_night.0019.ec.fits: ap = 104, w1 = 3673.662, w2 = 3596.233, dw = -0.04693, nw = 1651 Venus_night.0019.ec.fits: ap = 105, w1 = 3650.272, w2 = 3573.338, dw = -0.04663, nw = 1651 Venus_night.0019.ec.fits: ap = 106, w1 = 3627.177, w2 = 3550.732, dw = -0.04633, nw = 1651 Venus_night.0019.ec.fits: ap = 107, w1 = 3604.373, w2 = 3528.411, dw = -0.04604, nw = 1651 Venus_night.0019.ec.fits: ap = 108, w1 = 3581.855, w2 = 3506.368, dw = -0.04575, nw = 1651 Venus_night.0019.ec.fits: ap = 109, w1 = 3559.616, w2 = 3484.6, dw = -0.04546, nw = 1651 Venus_night.0019.ec.fits: ap = 110, w1 = 3537.651, w2 = 3463.1, dw = -0.04518, nw = 1651 Venus_night.0019.ec.fits: ap = 111, w1 = 3515.956, w2 = 3441.864, dw = -0.0449, nw = 1651 Venus_night.0019.ec.fits: ap = 112, w1 = 3494.525, w2 = 3420.888, dw = -0.04463, nw = 1651 Venus_night.0019.ec.fits: ap = 113, w1 = 3473.355, w2 = 3400.165, dw = -0.04436, nw = 1651 Venus_night.0019.ec.fits: ap = 114, w1 = 3452.439, w2 = 3379.693, dw = -0.04409, nw = 1651 Venus_night.0019.ec.fits: ap = 115, w1 = 3431.774, w2 = 3359.465, dw = -0.04382, nw = 1651 Venus_night.0020.ec.fits: REFSPEC1 = 'ThAr.0003.ec 0.22591215' Venus_night.0020.ec.fits: REFSPEC2 = 'ThAr.0026.ec 0.77408785' Venus_night.0020.ec.fits: ap = 1, w1 = 10811.14, w2 = 10582.96, dw = -0.13829, nw = 1651 Venus_night.0020.ec.fits: ap = 2, w1 = 10610.96, w2 = 10387., dw = -0.13573, nw = 1651 Venus_night.0020.ec.fits: ap = 3, w1 = 10418.05, w2 = 10198.16, dw = -0.13326, nw = 1651 Venus_night.0020.ec.fits: ap = 4, w1 = 10232.03, w2 = 10016.07, dw = -0.13089, nw = 1651 Venus_night.0020.ec.fits: ap = 5, w1 = 10052.54, w2 = 9840.368, dw = -0.12859, nw = 1651 Venus_night.0020.ec.fits: ap = 6, w1 = 9879.24, w2 = 9670.723, dw = -0.12637, nw = 1651 Venus_night.0020.ec.fits: ap = 7, w1 = 9711.812, w2 = 9506.829, dw = -0.12423, nw = 1651 Venus_night.0020.ec.fits: ap = 8, w1 = 9549.965, w2 = 9348.398, dw = -0.12216, nw = 1651 Venus_night.0020.ec.fits: ap = 9, w1 = 9393.424, w2 = 9195.161, dw = -0.12016, nw = 1651 Venus_night.0020.ec.fits: ap = 10, w1 = 9241.932, w2 = 9046.867, dw = -0.11822, nw = 1651 Venus_night.0020.ec.fits: ap = 11, w1 = 9095.249, w2 = 8903.281, dw = -0.11634, nw = 1651 Venus_night.0020.ec.fits: ap = 12, w1 = 8953.149, w2 = 8764.182, dw = -0.11453, nw = 1651 Venus_night.0020.ec.fits: ap = 13, w1 = 8815.422, w2 = 8629.362, dw = -0.11276, nw = 1651 Venus_night.0020.ec.fits: ap = 14, w1 = 8681.868, w2 = 8498.628, dw = -0.11105, nw = 1651 Venus_night.0020.ec.fits: ap = 15, w1 = 8552.3, w2 = 8371.797, dw = -0.1094, nw = 1651 Venus_night.0020.ec.fits: ap = 16, w1 = 8426.543, w2 = 8248.695, dw = -0.10779, nw = 1651 Venus_night.0020.ec.fits: ap = 17, w1 = 8304.431, w2 = 8129.162, dw = -0.10622, nw = 1651 Venus_night.0020.ec.fits: ap = 18, w1 = 8185.808, w2 = 8013.044, dw = -0.10471, nw = 1651 Venus_night.0020.ec.fits: ap = 19, w1 = 8070.526, w2 = 7900.197, dw = -0.10323, nw = 1651 Venus_night.0020.ec.fits: ap = 20, w1 = 7958.446, w2 = 7790.484, dw = -0.10179, nw = 1651 Venus_night.0020.ec.fits: ap = 21, w1 = 7849.437, w2 = 7683.778, dw = -0.1004, nw = 1651 Venus_night.0020.ec.fits: ap = 22, w1 = 7743.373, w2 = 7579.955, dw = -0.09904, nw = 1651 Venus_night.0020.ec.fits: ap = 23, w1 = 7640.138, w2 = 7478.901, dw = -0.09772, nw = 1651 Venus_night.0020.ec.fits: ap = 24, w1 = 7539.62, w2 = 7380.506, dw = -0.09643, nw = 1651 Venus_night.0020.ec.fits: ap = 25, w1 = 7441.712, w2 = 7284.666, dw = -0.09518, nw = 1651 Venus_night.0020.ec.fits: ap = 26, w1 = 7346.315, w2 = 7191.285, dw = -0.09396, nw = 1651 Venus_night.0020.ec.fits: ap = 27, w1 = 7253.333, w2 = 7100.267, dw = -0.09277, nw = 1651 Venus_night.0020.ec.fits: ap = 28, w1 = 7162.675, w2 = 7011.525, dw = -0.09161, nw = 1651 Venus_night.0020.ec.fits: ap = 29, w1 = 7074.256, w2 = 6924.974, dw = -0.09047, nw = 1651 Venus_night.0020.ec.fits: ap = 30, w1 = 6987.993, w2 = 6840.533, dw = -0.08937, nw = 1651 Venus_night.0020.ec.fits: ap = 31, w1 = 6903.809, w2 = 6758.128, dw = -0.08829, nw = 1651 Venus_night.0020.ec.fits: ap = 32, w1 = 6821.629, w2 = 6677.685, dw = -0.08724, nw = 1651 Venus_night.0020.ec.fits: ap = 33, w1 = 6741.383, w2 = 6599.134, dw = -0.08621, nw = 1651 Venus_night.0020.ec.fits: ap = 34, w1 = 6663.003, w2 = 6522.411, dw = -0.08521, nw = 1651 Venus_night.0020.ec.fits: ap = 35, w1 = 6586.425, w2 = 6447.451, dw = -0.08423, nw = 1651 Venus_night.0020.ec.fits: ap = 36, w1 = 6511.587, w2 = 6374.195, dw = -0.08327, nw = 1651 Venus_night.0020.ec.fits: ap = 37, w1 = 6438.431, w2 = 6302.585, dw = -0.08233, nw = 1651 Venus_night.0020.ec.fits: ap = 38, w1 = 6366.901, w2 = 6232.566, dw = -0.08142, nw = 1651 Venus_night.0020.ec.fits: ap = 39, w1 = 6296.943, w2 = 6164.087, dw = -0.08052, nw = 1651 Venus_night.0020.ec.fits: ap = 40, w1 = 6228.506, w2 = 6097.096, dw = -0.07964, nw = 1651 Venus_night.0020.ec.fits: ap = 41, w1 = 6161.541, w2 = 6031.546, dw = -0.07879, nw = 1651 Venus_night.0020.ec.fits: ap = 42, w1 = 6096., w2 = 5967.39, dw = -0.07795, nw = 1651 Venus_night.0020.ec.fits: ap = 43, w1 = 6031.84, w2 = 5904.585, dw = -0.07712, nw = 1651 Venus_night.0020.ec.fits: ap = 44, w1 = 5969.016, w2 = 5843.089, dw = -0.07632, nw = 1651 Venus_night.0020.ec.fits: ap = 45, w1 = 5907.487, w2 = 5782.861, dw = -0.07553, nw = 1651 Venus_night.0020.ec.fits: ap = 46, w1 = 5847.215, w2 = 5723.862, dw = -0.07476, nw = 1651 Venus_night.0020.ec.fits: ap = 47, w1 = 5788.16, w2 = 5666.055, dw = -0.074, nw = 1651 Venus_night.0020.ec.fits: ap = 48, w1 = 5730.286, w2 = 5609.404, dw = -0.07326, nw = 1651 Venus_night.0020.ec.fits: ap = 49, w1 = 5673.558, w2 = 5553.875, dw = -0.07254, nw = 1651 Venus_night.0020.ec.fits: ap = 50, w1 = 5617.943, w2 = 5499.435, dw = -0.07182, nw = 1651 Venus_night.0020.ec.fits: ap = 51, w1 = 5563.408, w2 = 5446.052, dw = -0.07112, nw = 1651 Venus_night.0020.ec.fits: ap = 52, w1 = 5509.921, w2 = 5393.696, dw = -0.07044, nw = 1651 Venus_night.0020.ec.fits: ap = 53, w1 = 5457.454, w2 = 5342.337, dw = -0.06977, nw = 1651 Venus_night.0020.ec.fits: ap = 54, w1 = 5405.976, w2 = 5291.948, dw = -0.06911, nw = 1651 Venus_night.0020.ec.fits: ap = 55, w1 = 5355.461, w2 = 5242.5, dw = -0.06846, nw = 1651 Venus_night.0020.ec.fits: ap = 56, w1 = 5305.882, w2 = 5193.968, dw = -0.06783, nw = 1651 Venus_night.0020.ec.fits: ap = 57, w1 = 5257.212, w2 = 5146.327, dw = -0.0672, nw = 1651 Venus_night.0020.ec.fits: ap = 58, w1 = 5209.427, w2 = 5099.552, dw = -0.06659, nw = 1651 Venus_night.0020.ec.fits: ap = 59, w1 = 5162.503, w2 = 5053.619, dw = -0.06599, nw = 1651 Venus_night.0020.ec.fits: ap = 60, w1 = 5116.418, w2 = 5008.507, dw = -0.0654, nw = 1651 Venus_night.0020.ec.fits: ap = 61, w1 = 5071.148, w2 = 4964.194, dw = -0.06482, nw = 1651 Venus_night.0020.ec.fits: ap = 62, w1 = 5026.673, w2 = 4920.658, dw = -0.06425, nw = 1651 Venus_night.0020.ec.fits: ap = 63, w1 = 4982.971, w2 = 4877.88, dw = -0.06369, nw = 1651 Venus_night.0020.ec.fits: ap = 64, w1 = 4940.022, w2 = 4835.839, dw = -0.06314, nw = 1651 Venus_night.0020.ec.fits: ap = 65, w1 = 4897.808, w2 = 4794.517, dw = -0.0626, nw = 1651 Venus_night.0020.ec.fits: ap = 66, w1 = 4856.31, w2 = 4753.895, dw = -0.06207, nw = 1651 Venus_night.0020.ec.fits: ap = 67, w1 = 4815.509, w2 = 4713.956, dw = -0.06155, nw = 1651 Venus_night.0020.ec.fits: ap = 68, w1 = 4775.389, w2 = 4674.683, dw = -0.06103, nw = 1651 Venus_night.0020.ec.fits: ap = 69, w1 = 4735.931, w2 = 4636.059, dw = -0.06053, nw = 1651 Venus_night.0020.ec.fits: ap = 70, w1 = 4697.121, w2 = 4598.068, dw = -0.06003, nw = 1651 Venus_night.0020.ec.fits: ap = 71, w1 = 4658.942, w2 = 4560.696, dw = -0.05954, nw = 1651 Venus_night.0020.ec.fits: ap = 72, w1 = 4621.378, w2 = 4523.926, dw = -0.05906, nw = 1651 Venus_night.0020.ec.fits: ap = 73, w1 = 4584.416, w2 = 4487.744, dw = -0.05859, nw = 1651 Venus_night.0020.ec.fits: ap = 74, w1 = 4548.041, w2 = 4452.137, dw = -0.05812, nw = 1651 Venus_night.0020.ec.fits: ap = 75, w1 = 4512.238, w2 = 4417.091, dw = -0.05767, nw = 1651 Venus_night.0020.ec.fits: ap = 76, w1 = 4476.996, w2 = 4382.592, dw = -0.05721, nw = 1651 Venus_night.0020.ec.fits: ap = 77, w1 = 4442.299, w2 = 4348.629, dw = -0.05677, nw = 1651 Venus_night.0020.ec.fits: ap = 78, w1 = 4408.137, w2 = 4315.188, dw = -0.05633, nw = 1651 Venus_night.0020.ec.fits: ap = 79, w1 = 4374.496, w2 = 4282.258, dw = -0.0559, nw = 1651 Venus_night.0020.ec.fits: ap = 80, w1 = 4341.365, w2 = 4249.826, dw = -0.05548, nw = 1651 Venus_night.0020.ec.fits: ap = 81, w1 = 4308.733, w2 = 4217.883, dw = -0.05506, nw = 1651 Venus_night.0020.ec.fits: ap = 82, w1 = 4276.587, w2 = 4186.416, dw = -0.05465, nw = 1651 Venus_night.0020.ec.fits: ap = 83, w1 = 4244.918, w2 = 4155.416, dw = -0.05424, nw = 1651 Venus_night.0020.ec.fits: ap = 84, w1 = 4213.715, w2 = 4124.872, dw = -0.05384, nw = 1651 Venus_night.0020.ec.fits: ap = 85, w1 = 4182.967, w2 = 4094.773, dw = -0.05345, nw = 1651 Venus_night.0020.ec.fits: ap = 86, w1 = 4152.666, w2 = 4065.111, dw = -0.05306, nw = 1651 Venus_night.0020.ec.fits: ap = 87, w1 = 4122.8, w2 = 4035.876, dw = -0.05268, nw = 1651 Venus_night.0020.ec.fits: ap = 88, w1 = 4093.361, w2 = 4007.059, dw = -0.0523, nw = 1651 Venus_night.0020.ec.fits: ap = 89, w1 = 4064.339, w2 = 3978.65, dw = -0.05193, nw = 1651 Venus_night.0020.ec.fits: ap = 90, w1 = 4035.727, w2 = 3950.642, dw = -0.05157, nw = 1651 Venus_night.0020.ec.fits: ap = 91, w1 = 4007.515, w2 = 3923.026, dw = -0.05121, nw = 1651 Venus_night.0020.ec.fits: ap = 92, w1 = 3979.694, w2 = 3895.793, dw = -0.05085, nw = 1651 Venus_night.0020.ec.fits: ap = 93, w1 = 3952.258, w2 = 3868.936, dw = -0.0505, nw = 1651 Venus_night.0020.ec.fits: ap = 94, w1 = 3925.197, w2 = 3842.447, dw = -0.05015, nw = 1651 Venus_night.0020.ec.fits: ap = 95, w1 = 3898.505, w2 = 3816.318, dw = -0.04981, nw = 1651 Venus_night.0020.ec.fits: ap = 96, w1 = 3872.174, w2 = 3790.543, dw = -0.04947, nw = 1651 Venus_night.0020.ec.fits: ap = 97, w1 = 3846.196, w2 = 3765.113, dw = -0.04914, nw = 1651 Venus_night.0020.ec.fits: ap = 98, w1 = 3820.564, w2 = 3740.023, dw = -0.04881, nw = 1651 Venus_night.0020.ec.fits: ap = 99, w1 = 3795.272, w2 = 3715.265, dw = -0.04849, nw = 1651 Venus_night.0020.ec.fits: ap = 100, w1 = 3770.313, w2 = 3690.833, dw = -0.04817, nw = 1651 Venus_night.0020.ec.fits: ap = 101, w1 = 3745.681, w2 = 3666.721, dw = -0.04785, nw = 1651 Venus_night.0020.ec.fits: ap = 102, w1 = 3721.368, w2 = 3642.922, dw = -0.04754, nw = 1651 Venus_night.0020.ec.fits: ap = 103, w1 = 3697.369, w2 = 3619.43, dw = -0.04724, nw = 1651 Venus_night.0020.ec.fits: ap = 104, w1 = 3673.678, w2 = 3596.239, dw = -0.04693, nw = 1651 Venus_night.0020.ec.fits: ap = 105, w1 = 3650.288, w2 = 3573.344, dw = -0.04663, nw = 1651 Venus_night.0020.ec.fits: ap = 106, w1 = 3627.195, w2 = 3550.738, dw = -0.04634, nw = 1651 Venus_night.0020.ec.fits: ap = 107, w1 = 3604.392, w2 = 3528.417, dw = -0.04605, nw = 1651 Venus_night.0020.ec.fits: ap = 108, w1 = 3581.874, w2 = 3506.376, dw = -0.04576, nw = 1651 Venus_night.0020.ec.fits: ap = 109, w1 = 3559.637, w2 = 3484.608, dw = -0.04547, nw = 1651 Venus_night.0020.ec.fits: ap = 110, w1 = 3537.673, w2 = 3463.109, dw = -0.04519, nw = 1651 Venus_night.0020.ec.fits: ap = 111, w1 = 3515.98, w2 = 3441.873, dw = -0.04491, nw = 1651 Venus_night.0020.ec.fits: ap = 112, w1 = 3494.55, w2 = 3420.897, dw = -0.04464, nw = 1651 Venus_night.0020.ec.fits: ap = 113, w1 = 3473.381, w2 = 3400.175, dw = -0.04437, nw = 1651 Venus_night.0020.ec.fits: ap = 114, w1 = 3452.467, w2 = 3379.703, dw = -0.0441, nw = 1651 Venus_night.0020.ec.fits: ap = 115, w1 = 3431.803, w2 = 3359.476, dw = -0.04383, nw = 1651 sky.0024.ec.fits: REFSPEC1 = 'ThAr.0003.ec 0.094967924' sky.0024.ec.fits: REFSPEC2 = 'ThAr.0026.ec 0.9050321' sky.0024.ec.fits: ap = 1, w1 = 10811.15, w2 = 10582.96, dw = -0.13829, nw = 1651 sky.0024.ec.fits: ap = 2, w1 = 10610.96, w2 = 10387., dw = -0.13573, nw = 1651 sky.0024.ec.fits: ap = 3, w1 = 10418.05, w2 = 10198.17, dw = -0.13327, nw = 1651 sky.0024.ec.fits: ap = 4, w1 = 10232.04, w2 = 10016.07, dw = -0.13089, nw = 1651 sky.0024.ec.fits: ap = 5, w1 = 10052.54, w2 = 9840.369, dw = -0.12859, nw = 1651 sky.0024.ec.fits: ap = 6, w1 = 9879.242, w2 = 9670.724, dw = -0.12637, nw = 1651 sky.0024.ec.fits: ap = 7, w1 = 9711.813, w2 = 9506.83, dw = -0.12423, nw = 1651 sky.0024.ec.fits: ap = 8, w1 = 9549.966, w2 = 9348.398, dw = -0.12216, nw = 1651 sky.0024.ec.fits: ap = 9, w1 = 9393.424, w2 = 9195.161, dw = -0.12016, nw = 1651 sky.0024.ec.fits: ap = 10, w1 = 9241.932, w2 = 9046.867, dw = -0.11822, nw = 1651 sky.0024.ec.fits: ap = 11, w1 = 9095.249, w2 = 8903.281, dw = -0.11634, nw = 1651 sky.0024.ec.fits: ap = 12, w1 = 8953.15, w2 = 8764.182, dw = -0.11453, nw = 1651 sky.0024.ec.fits: ap = 13, w1 = 8815.422, w2 = 8629.362, dw = -0.11276, nw = 1651 sky.0024.ec.fits: ap = 14, w1 = 8681.868, w2 = 8498.628, dw = -0.11105, nw = 1651 sky.0024.ec.fits: ap = 15, w1 = 8552.3, w2 = 8371.797, dw = -0.1094, nw = 1651 sky.0024.ec.fits: ap = 16, w1 = 8426.543, w2 = 8248.696, dw = -0.10779, nw = 1651 sky.0024.ec.fits: ap = 17, w1 = 8304.431, w2 = 8129.162, dw = -0.10622, nw = 1651 sky.0024.ec.fits: ap = 18, w1 = 8185.808, w2 = 8013.044, dw = -0.10471, nw = 1651 sky.0024.ec.fits: ap = 19, w1 = 8070.526, w2 = 7900.197, dw = -0.10323, nw = 1651 sky.0024.ec.fits: ap = 20, w1 = 7958.446, w2 = 7790.485, dw = -0.10179, nw = 1651 sky.0024.ec.fits: ap = 21, w1 = 7849.437, w2 = 7683.778, dw = -0.1004, nw = 1651 sky.0024.ec.fits: ap = 22, w1 = 7743.374, w2 = 7579.955, dw = -0.09904, nw = 1651 sky.0024.ec.fits: ap = 23, w1 = 7640.139, w2 = 7478.901, dw = -0.09772, nw = 1651 sky.0024.ec.fits: ap = 24, w1 = 7539.62, w2 = 7380.506, dw = -0.09643, nw = 1651 sky.0024.ec.fits: ap = 25, w1 = 7441.713, w2 = 7284.667, dw = -0.09518, nw = 1651 sky.0024.ec.fits: ap = 26, w1 = 7346.316, w2 = 7191.285, dw = -0.09396, nw = 1651 sky.0024.ec.fits: ap = 27, w1 = 7253.333, w2 = 7100.268, dw = -0.09277, nw = 1651 sky.0024.ec.fits: ap = 28, w1 = 7162.676, w2 = 7011.525, dw = -0.09161, nw = 1651 sky.0024.ec.fits: ap = 29, w1 = 7074.257, w2 = 6924.974, dw = -0.09047, nw = 1651 sky.0024.ec.fits: ap = 30, w1 = 6987.994, w2 = 6840.534, dw = -0.08937, nw = 1651 sky.0024.ec.fits: ap = 31, w1 = 6903.81, w2 = 6758.129, dw = -0.08829, nw = 1651 sky.0024.ec.fits: ap = 32, w1 = 6821.63, w2 = 6677.686, dw = -0.08724, nw = 1651 sky.0024.ec.fits: ap = 33, w1 = 6741.384, w2 = 6599.135, dw = -0.08621, nw = 1651 sky.0024.ec.fits: ap = 34, w1 = 6663.004, w2 = 6522.412, dw = -0.08521, nw = 1651 sky.0024.ec.fits: ap = 35, w1 = 6586.426, w2 = 6447.452, dw = -0.08423, nw = 1651 sky.0024.ec.fits: ap = 36, w1 = 6511.588, w2 = 6374.196, dw = -0.08327, nw = 1651 sky.0024.ec.fits: ap = 37, w1 = 6438.432, w2 = 6302.586, dw = -0.08233, nw = 1651 sky.0024.ec.fits: ap = 38, w1 = 6366.902, w2 = 6232.567, dw = -0.08142, nw = 1651 sky.0024.ec.fits: ap = 39, w1 = 6296.944, w2 = 6164.088, dw = -0.08052, nw = 1651 sky.0024.ec.fits: ap = 40, w1 = 6228.507, w2 = 6097.097, dw = -0.07964, nw = 1651 sky.0024.ec.fits: ap = 41, w1 = 6161.542, w2 = 6031.546, dw = -0.07878, nw = 1651 sky.0024.ec.fits: ap = 42, w1 = 6096.001, w2 = 5967.391, dw = -0.07795, nw = 1651 sky.0024.ec.fits: ap = 43, w1 = 6031.84, w2 = 5904.586, dw = -0.07712, nw = 1651 sky.0024.ec.fits: ap = 44, w1 = 5969.017, w2 = 5843.09, dw = -0.07632, nw = 1651 sky.0024.ec.fits: ap = 45, w1 = 5907.488, w2 = 5782.862, dw = -0.07553, nw = 1651 sky.0024.ec.fits: ap = 46, w1 = 5847.215, w2 = 5723.863, dw = -0.07476, nw = 1651 sky.0024.ec.fits: ap = 47, w1 = 5788.16, w2 = 5666.056, dw = -0.074, nw = 1651 sky.0024.ec.fits: ap = 48, w1 = 5730.286, w2 = 5609.405, dw = -0.07326, nw = 1651 sky.0024.ec.fits: ap = 49, w1 = 5673.559, w2 = 5553.876, dw = -0.07253, nw = 1651 sky.0024.ec.fits: ap = 50, w1 = 5617.943, w2 = 5499.436, dw = -0.07182, nw = 1651 sky.0024.ec.fits: ap = 51, w1 = 5563.408, w2 = 5446.053, dw = -0.07112, nw = 1651 sky.0024.ec.fits: ap = 52, w1 = 5509.922, w2 = 5393.697, dw = -0.07044, nw = 1651 sky.0024.ec.fits: ap = 53, w1 = 5457.454, w2 = 5342.338, dw = -0.06977, nw = 1651 sky.0024.ec.fits: ap = 54, w1 = 5405.976, w2 = 5291.948, dw = -0.06911, nw = 1651 sky.0024.ec.fits: ap = 55, w1 = 5355.461, w2 = 5242.5, dw = -0.06846, nw = 1651 sky.0024.ec.fits: ap = 56, w1 = 5305.882, w2 = 5193.968, dw = -0.06783, nw = 1651 sky.0024.ec.fits: ap = 57, w1 = 5257.212, w2 = 5146.327, dw = -0.0672, nw = 1651 sky.0024.ec.fits: ap = 58, w1 = 5209.427, w2 = 5099.552, dw = -0.06659, nw = 1651 sky.0024.ec.fits: ap = 59, w1 = 5162.503, w2 = 5053.62, dw = -0.06599, nw = 1651 sky.0024.ec.fits: ap = 60, w1 = 5116.418, w2 = 5008.508, dw = -0.0654, nw = 1651 sky.0024.ec.fits: ap = 61, w1 = 5071.148, w2 = 4964.194, dw = -0.06482, nw = 1651 sky.0024.ec.fits: ap = 62, w1 = 5026.672, w2 = 4920.658, dw = -0.06425, nw = 1651 sky.0024.ec.fits: ap = 63, w1 = 4982.97, w2 = 4877.88, dw = -0.06369, nw = 1651 sky.0024.ec.fits: ap = 64, w1 = 4940.022, w2 = 4835.839, dw = -0.06314, nw = 1651 sky.0024.ec.fits: ap = 65, w1 = 4897.808, w2 = 4794.517, dw = -0.0626, nw = 1651 sky.0024.ec.fits: ap = 66, w1 = 4856.31, w2 = 4753.895, dw = -0.06207, nw = 1651 sky.0024.ec.fits: ap = 67, w1 = 4815.509, w2 = 4713.956, dw = -0.06155, nw = 1651 sky.0024.ec.fits: ap = 68, w1 = 4775.389, w2 = 4674.683, dw = -0.06103, nw = 1651 sky.0024.ec.fits: ap = 69, w1 = 4735.931, w2 = 4636.059, dw = -0.06053, nw = 1651 sky.0024.ec.fits: ap = 70, w1 = 4697.121, w2 = 4598.068, dw = -0.06003, nw = 1651 sky.0024.ec.fits: ap = 71, w1 = 4658.942, w2 = 4560.695, dw = -0.05954, nw = 1651 sky.0024.ec.fits: ap = 72, w1 = 4621.379, w2 = 4523.926, dw = -0.05906, nw = 1651 sky.0024.ec.fits: ap = 73, w1 = 4584.417, w2 = 4487.744, dw = -0.05859, nw = 1651 sky.0024.ec.fits: ap = 74, w1 = 4548.042, w2 = 4452.137, dw = -0.05812, nw = 1651 sky.0024.ec.fits: ap = 75, w1 = 4512.24, w2 = 4417.091, dw = -0.05767, nw = 1651 sky.0024.ec.fits: ap = 76, w1 = 4476.997, w2 = 4382.592, dw = -0.05721, nw = 1651 sky.0024.ec.fits: ap = 77, w1 = 4442.301, w2 = 4348.629, dw = -0.05677, nw = 1651 sky.0024.ec.fits: ap = 78, w1 = 4408.139, w2 = 4315.188, dw = -0.05633, nw = 1651 sky.0024.ec.fits: ap = 79, w1 = 4374.499, w2 = 4282.258, dw = -0.0559, nw = 1651 sky.0024.ec.fits: ap = 80, w1 = 4341.368, w2 = 4249.827, dw = -0.05548, nw = 1651 sky.0024.ec.fits: ap = 81, w1 = 4308.736, w2 = 4217.883, dw = -0.05506, nw = 1651 sky.0024.ec.fits: ap = 82, w1 = 4276.591, w2 = 4186.417, dw = -0.05465, nw = 1651 sky.0024.ec.fits: ap = 83, w1 = 4244.922, w2 = 4155.417, dw = -0.05425, nw = 1651 sky.0024.ec.fits: ap = 84, w1 = 4213.72, w2 = 4124.873, dw = -0.05385, nw = 1651 sky.0024.ec.fits: ap = 85, w1 = 4182.973, w2 = 4094.775, dw = -0.05345, nw = 1651 sky.0024.ec.fits: ap = 86, w1 = 4152.671, w2 = 4065.113, dw = -0.05307, nw = 1651 sky.0024.ec.fits: ap = 87, w1 = 4122.806, w2 = 4035.878, dw = -0.05268, nw = 1651 sky.0024.ec.fits: ap = 88, w1 = 4093.368, w2 = 4007.061, dw = -0.05231, nw = 1651 sky.0024.ec.fits: ap = 89, w1 = 4064.347, w2 = 3978.653, dw = -0.05194, nw = 1651 sky.0024.ec.fits: ap = 90, w1 = 4035.736, w2 = 3950.645, dw = -0.05157, nw = 1651 sky.0024.ec.fits: ap = 91, w1 = 4007.524, w2 = 3923.029, dw = -0.05121, nw = 1651 sky.0024.ec.fits: ap = 92, w1 = 3979.705, w2 = 3895.796, dw = -0.05085, nw = 1651 sky.0024.ec.fits: ap = 93, w1 = 3952.27, w2 = 3868.939, dw = -0.0505, nw = 1651 sky.0024.ec.fits: ap = 94, w1 = 3925.21, w2 = 3842.451, dw = -0.05016, nw = 1651 sky.0024.ec.fits: ap = 95, w1 = 3898.519, w2 = 3816.322, dw = -0.04982, nw = 1651 sky.0024.ec.fits: ap = 96, w1 = 3872.188, w2 = 3790.547, dw = -0.04948, nw = 1651 sky.0024.ec.fits: ap = 97, w1 = 3846.212, w2 = 3765.119, dw = -0.04915, nw = 1651 sky.0024.ec.fits: ap = 98, w1 = 3820.581, w2 = 3740.029, dw = -0.04882, nw = 1651 sky.0024.ec.fits: ap = 99, w1 = 3795.291, w2 = 3715.272, dw = -0.0485, nw = 1651 sky.0024.ec.fits: ap = 100, w1 = 3770.333, w2 = 3690.84, dw = -0.04818, nw = 1651 sky.0024.ec.fits: ap = 101, w1 = 3745.702, w2 = 3666.728, dw = -0.04786, nw = 1651 sky.0024.ec.fits: ap = 102, w1 = 3721.391, w2 = 3642.93, dw = -0.04755, nw = 1651 sky.0024.ec.fits: ap = 103, w1 = 3697.393, w2 = 3619.438, dw = -0.04725, nw = 1651 sky.0024.ec.fits: ap = 104, w1 = 3673.704, w2 = 3596.248, dw = -0.04694, nw = 1651 sky.0024.ec.fits: ap = 105, w1 = 3650.316, w2 = 3573.354, dw = -0.04664, nw = 1651 sky.0024.ec.fits: ap = 106, w1 = 3627.224, w2 = 3550.749, dw = -0.04635, nw = 1651 sky.0024.ec.fits: ap = 107, w1 = 3604.424, w2 = 3528.429, dw = -0.04606, nw = 1651 sky.0024.ec.fits: ap = 108, w1 = 3581.908, w2 = 3506.388, dw = -0.04577, nw = 1651 sky.0024.ec.fits: ap = 109, w1 = 3559.672, w2 = 3484.621, dw = -0.04549, nw = 1651 sky.0024.ec.fits: ap = 110, w1 = 3537.711, w2 = 3463.123, dw = -0.0452, nw = 1651 sky.0024.ec.fits: ap = 111, w1 = 3516.019, w2 = 3441.888, dw = -0.04493, nw = 1651 sky.0024.ec.fits: ap = 112, w1 = 3494.592, w2 = 3420.913, dw = -0.04465, nw = 1651 sky.0024.ec.fits: ap = 113, w1 = 3473.425, w2 = 3400.192, dw = -0.04438, nw = 1651 sky.0024.ec.fits: ap = 114, w1 = 3452.513, w2 = 3379.721, dw = -0.04412, nw = 1651 sky.0024.ec.fits: ap = 115, w1 = 3431.852, w2 = 3359.495, dw = -0.04385, nw = 1651 sky.0025.ec.fits: REFSPEC1 = 'ThAr.0003.ec 0.037020102' sky.0025.ec.fits: REFSPEC2 = 'ThAr.0026.ec 0.96297991' sky.0025.ec.fits: ap = 1, w1 = 10811.15, w2 = 10582.96, dw = -0.13829, nw = 1651 sky.0025.ec.fits: ap = 2, w1 = 10610.96, w2 = 10387., dw = -0.13573, nw = 1651 sky.0025.ec.fits: ap = 3, w1 = 10418.05, w2 = 10198.17, dw = -0.13327, nw = 1651 sky.0025.ec.fits: ap = 4, w1 = 10232.04, w2 = 10016.07, dw = -0.13089, nw = 1651 sky.0025.ec.fits: ap = 5, w1 = 10052.54, w2 = 9840.369, dw = -0.12859, nw = 1651 sky.0025.ec.fits: ap = 6, w1 = 9879.242, w2 = 9670.724, dw = -0.12637, nw = 1651 sky.0025.ec.fits: ap = 7, w1 = 9711.814, w2 = 9506.83, dw = -0.12423, nw = 1651 sky.0025.ec.fits: ap = 8, w1 = 9549.966, w2 = 9348.399, dw = -0.12216, nw = 1651 sky.0025.ec.fits: ap = 9, w1 = 9393.424, w2 = 9195.162, dw = -0.12016, nw = 1651 sky.0025.ec.fits: ap = 10, w1 = 9241.932, w2 = 9046.868, dw = -0.11822, nw = 1651 sky.0025.ec.fits: ap = 11, w1 = 9095.249, w2 = 8903.281, dw = -0.11634, nw = 1651 sky.0025.ec.fits: ap = 12, w1 = 8953.15, w2 = 8764.182, dw = -0.11453, nw = 1651 sky.0025.ec.fits: ap = 13, w1 = 8815.422, w2 = 8629.363, dw = -0.11276, nw = 1651 sky.0025.ec.fits: ap = 14, w1 = 8681.868, w2 = 8498.628, dw = -0.11105, nw = 1651 sky.0025.ec.fits: ap = 15, w1 = 8552.3, w2 = 8371.797, dw = -0.1094, nw = 1651 sky.0025.ec.fits: ap = 16, w1 = 8426.543, w2 = 8248.696, dw = -0.10779, nw = 1651 sky.0025.ec.fits: ap = 17, w1 = 8304.431, w2 = 8129.162, dw = -0.10622, nw = 1651 sky.0025.ec.fits: ap = 18, w1 = 8185.808, w2 = 8013.044, dw = -0.10471, nw = 1651 sky.0025.ec.fits: ap = 19, w1 = 8070.526, w2 = 7900.197, dw = -0.10323, nw = 1651 sky.0025.ec.fits: ap = 20, w1 = 7958.446, w2 = 7790.485, dw = -0.10179, nw = 1651 sky.0025.ec.fits: ap = 21, w1 = 7849.437, w2 = 7683.778, dw = -0.1004, nw = 1651 sky.0025.ec.fits: ap = 22, w1 = 7743.374, w2 = 7579.955, dw = -0.09904, nw = 1651 sky.0025.ec.fits: ap = 23, w1 = 7640.139, w2 = 7478.901, dw = -0.09772, nw = 1651 sky.0025.ec.fits: ap = 24, w1 = 7539.621, w2 = 7380.506, dw = -0.09643, nw = 1651 sky.0025.ec.fits: ap = 25, w1 = 7441.713, w2 = 7284.667, dw = -0.09518, nw = 1651 sky.0025.ec.fits: ap = 26, w1 = 7346.316, w2 = 7191.285, dw = -0.09396, nw = 1651 sky.0025.ec.fits: ap = 27, w1 = 7253.334, w2 = 7100.268, dw = -0.09277, nw = 1651 sky.0025.ec.fits: ap = 28, w1 = 7162.676, w2 = 7011.526, dw = -0.09161, nw = 1651 sky.0025.ec.fits: ap = 29, w1 = 7074.257, w2 = 6924.975, dw = -0.09047, nw = 1651 sky.0025.ec.fits: ap = 30, w1 = 6987.994, w2 = 6840.535, dw = -0.08937, nw = 1651 sky.0025.ec.fits: ap = 31, w1 = 6903.81, w2 = 6758.129, dw = -0.08829, nw = 1651 sky.0025.ec.fits: ap = 32, w1 = 6821.63, w2 = 6677.686, dw = -0.08724, nw = 1651 sky.0025.ec.fits: ap = 33, w1 = 6741.384, w2 = 6599.136, dw = -0.08621, nw = 1651 sky.0025.ec.fits: ap = 34, w1 = 6663.004, w2 = 6522.412, dw = -0.08521, nw = 1651 sky.0025.ec.fits: ap = 35, w1 = 6586.426, w2 = 6447.452, dw = -0.08423, nw = 1651 sky.0025.ec.fits: ap = 36, w1 = 6511.589, w2 = 6374.196, dw = -0.08327, nw = 1651 sky.0025.ec.fits: ap = 37, w1 = 6438.433, w2 = 6302.586, dw = -0.08233, nw = 1651 sky.0025.ec.fits: ap = 38, w1 = 6366.903, w2 = 6232.568, dw = -0.08142, nw = 1651 sky.0025.ec.fits: ap = 39, w1 = 6296.945, w2 = 6164.088, dw = -0.08052, nw = 1651 sky.0025.ec.fits: ap = 40, w1 = 6228.507, w2 = 6097.097, dw = -0.07964, nw = 1651 sky.0025.ec.fits: ap = 41, w1 = 6161.542, w2 = 6031.547, dw = -0.07878, nw = 1651 sky.0025.ec.fits: ap = 42, w1 = 6096.001, w2 = 5967.391, dw = -0.07795, nw = 1651 sky.0025.ec.fits: ap = 43, w1 = 6031.841, w2 = 5904.587, dw = -0.07712, nw = 1651 sky.0025.ec.fits: ap = 44, w1 = 5969.017, w2 = 5843.09, dw = -0.07632, nw = 1651 sky.0025.ec.fits: ap = 45, w1 = 5907.488, w2 = 5782.862, dw = -0.07553, nw = 1651 sky.0025.ec.fits: ap = 46, w1 = 5847.216, w2 = 5723.863, dw = -0.07476, nw = 1651 sky.0025.ec.fits: ap = 47, w1 = 5788.161, w2 = 5666.056, dw = -0.074, nw = 1651 sky.0025.ec.fits: ap = 48, w1 = 5730.287, w2 = 5609.405, dw = -0.07326, nw = 1651 sky.0025.ec.fits: ap = 49, w1 = 5673.559, w2 = 5553.876, dw = -0.07253, nw = 1651 sky.0025.ec.fits: ap = 50, w1 = 5617.943, w2 = 5499.436, dw = -0.07182, nw = 1651 sky.0025.ec.fits: ap = 51, w1 = 5563.408, w2 = 5446.053, dw = -0.07112, nw = 1651 sky.0025.ec.fits: ap = 52, w1 = 5509.922, w2 = 5393.697, dw = -0.07044, nw = 1651 sky.0025.ec.fits: ap = 53, w1 = 5457.454, w2 = 5342.338, dw = -0.06977, nw = 1651 sky.0025.ec.fits: ap = 54, w1 = 5405.976, w2 = 5291.948, dw = -0.06911, nw = 1651 sky.0025.ec.fits: ap = 55, w1 = 5355.461, w2 = 5242.501, dw = -0.06846, nw = 1651 sky.0025.ec.fits: ap = 56, w1 = 5305.882, w2 = 5193.968, dw = -0.06783, nw = 1651 sky.0025.ec.fits: ap = 57, w1 = 5257.212, w2 = 5146.327, dw = -0.0672, nw = 1651 sky.0025.ec.fits: ap = 58, w1 = 5209.427, w2 = 5099.552, dw = -0.06659, nw = 1651 sky.0025.ec.fits: ap = 59, w1 = 5162.503, w2 = 5053.62, dw = -0.06599, nw = 1651 sky.0025.ec.fits: ap = 60, w1 = 5116.418, w2 = 5008.508, dw = -0.0654, nw = 1651 sky.0025.ec.fits: ap = 61, w1 = 5071.148, w2 = 4964.194, dw = -0.06482, nw = 1651 sky.0025.ec.fits: ap = 62, w1 = 5026.672, w2 = 4920.658, dw = -0.06425, nw = 1651 sky.0025.ec.fits: ap = 63, w1 = 4982.97, w2 = 4877.88, dw = -0.06369, nw = 1651 sky.0025.ec.fits: ap = 64, w1 = 4940.022, w2 = 4835.839, dw = -0.06314, nw = 1651 sky.0025.ec.fits: ap = 65, w1 = 4897.808, w2 = 4794.516, dw = -0.0626, nw = 1651 sky.0025.ec.fits: ap = 66, w1 = 4856.31, w2 = 4753.895, dw = -0.06207, nw = 1651 sky.0025.ec.fits: ap = 67, w1 = 4815.509, w2 = 4713.956, dw = -0.06155, nw = 1651 sky.0025.ec.fits: ap = 68, w1 = 4775.389, w2 = 4674.683, dw = -0.06103, nw = 1651 sky.0025.ec.fits: ap = 69, w1 = 4735.931, w2 = 4636.059, dw = -0.06053, nw = 1651 sky.0025.ec.fits: ap = 70, w1 = 4697.121, w2 = 4598.068, dw = -0.06003, nw = 1651 sky.0025.ec.fits: ap = 71, w1 = 4658.942, w2 = 4560.695, dw = -0.05954, nw = 1651 sky.0025.ec.fits: ap = 72, w1 = 4621.379, w2 = 4523.925, dw = -0.05906, nw = 1651 sky.0025.ec.fits: ap = 73, w1 = 4584.417, w2 = 4487.744, dw = -0.05859, nw = 1651 sky.0025.ec.fits: ap = 74, w1 = 4548.042, w2 = 4452.137, dw = -0.05812, nw = 1651 sky.0025.ec.fits: ap = 75, w1 = 4512.24, w2 = 4417.091, dw = -0.05767, nw = 1651 sky.0025.ec.fits: ap = 76, w1 = 4476.998, w2 = 4382.592, dw = -0.05722, nw = 1651 sky.0025.ec.fits: ap = 77, w1 = 4442.302, w2 = 4348.629, dw = -0.05677, nw = 1651 sky.0025.ec.fits: ap = 78, w1 = 4408.14, w2 = 4315.188, dw = -0.05633, nw = 1651 sky.0025.ec.fits: ap = 79, w1 = 4374.5, w2 = 4282.258, dw = -0.0559, nw = 1651 sky.0025.ec.fits: ap = 80, w1 = 4341.369, w2 = 4249.827, dw = -0.05548, nw = 1651 sky.0025.ec.fits: ap = 81, w1 = 4308.737, w2 = 4217.884, dw = -0.05506, nw = 1651 sky.0025.ec.fits: ap = 82, w1 = 4276.593, w2 = 4186.417, dw = -0.05465, nw = 1651 sky.0025.ec.fits: ap = 83, w1 = 4244.924, w2 = 4155.417, dw = -0.05425, nw = 1651 sky.0025.ec.fits: ap = 84, w1 = 4213.722, w2 = 4124.873, dw = -0.05385, nw = 1651 sky.0025.ec.fits: ap = 85, w1 = 4182.975, w2 = 4094.775, dw = -0.05345, nw = 1651 sky.0025.ec.fits: ap = 86, w1 = 4152.674, w2 = 4065.113, dw = -0.05307, nw = 1651 sky.0025.ec.fits: ap = 87, w1 = 4122.809, w2 = 4035.879, dw = -0.05269, nw = 1651 sky.0025.ec.fits: ap = 88, w1 = 4093.371, w2 = 4007.062, dw = -0.05231, nw = 1651 sky.0025.ec.fits: ap = 89, w1 = 4064.351, w2 = 3978.654, dw = -0.05194, nw = 1651 sky.0025.ec.fits: ap = 90, w1 = 4035.74, w2 = 3950.646, dw = -0.05157, nw = 1651 sky.0025.ec.fits: ap = 91, w1 = 4007.529, w2 = 3923.03, dw = -0.05121, nw = 1651 sky.0025.ec.fits: ap = 92, w1 = 3979.71, w2 = 3895.797, dw = -0.05086, nw = 1651 sky.0025.ec.fits: ap = 93, w1 = 3952.275, w2 = 3868.941, dw = -0.05051, nw = 1651 sky.0025.ec.fits: ap = 94, w1 = 3925.216, w2 = 3842.452, dw = -0.05016, nw = 1651 sky.0025.ec.fits: ap = 95, w1 = 3898.525, w2 = 3816.324, dw = -0.04982, nw = 1651 sky.0025.ec.fits: ap = 96, w1 = 3872.195, w2 = 3790.55, dw = -0.04948, nw = 1651 sky.0025.ec.fits: ap = 97, w1 = 3846.219, w2 = 3765.121, dw = -0.04915, nw = 1651 sky.0025.ec.fits: ap = 98, w1 = 3820.589, w2 = 3740.031, dw = -0.04882, nw = 1651 sky.0025.ec.fits: ap = 99, w1 = 3795.299, w2 = 3715.274, dw = -0.0485, nw = 1651 sky.0025.ec.fits: ap = 100, w1 = 3770.342, w2 = 3690.843, dw = -0.04818, nw = 1651 sky.0025.ec.fits: ap = 101, w1 = 3745.711, w2 = 3666.732, dw = -0.04787, nw = 1651 sky.0025.ec.fits: ap = 102, w1 = 3721.401, w2 = 3642.933, dw = -0.04756, nw = 1651 sky.0025.ec.fits: ap = 103, w1 = 3697.404, w2 = 3619.442, dw = -0.04725, nw = 1651 sky.0025.ec.fits: ap = 104, w1 = 3673.715, w2 = 3596.252, dw = -0.04695, nw = 1651 sky.0025.ec.fits: ap = 105, w1 = 3650.328, w2 = 3573.358, dw = -0.04665, nw = 1651 sky.0025.ec.fits: ap = 106, w1 = 3627.238, w2 = 3550.754, dw = -0.04635, nw = 1651 sky.0025.ec.fits: ap = 107, w1 = 3604.438, w2 = 3528.434, dw = -0.04606, nw = 1651 sky.0025.ec.fits: ap = 108, w1 = 3581.923, w2 = 3506.393, dw = -0.04578, nw = 1651 sky.0025.ec.fits: ap = 109, w1 = 3559.688, w2 = 3484.627, dw = -0.04549, nw = 1651 sky.0025.ec.fits: ap = 110, w1 = 3537.727, w2 = 3463.129, dw = -0.04521, nw = 1651 sky.0025.ec.fits: ap = 111, w1 = 3516.037, w2 = 3441.895, dw = -0.04493, nw = 1651 sky.0025.ec.fits: ap = 112, w1 = 3494.611, w2 = 3420.92, dw = -0.04466, nw = 1651 sky.0025.ec.fits: ap = 113, w1 = 3473.445, w2 = 3400.2, dw = -0.04439, nw = 1651 sky.0025.ec.fits: ap = 114, w1 = 3452.534, w2 = 3379.729, dw = -0.04412, nw = 1651 sky.0025.ec.fits: ap = 115, w1 = 3431.874, w2 = 3359.504, dw = -0.04386, nw = 1651 ThAr.0001.ec.fits: REFSPEC1 = 'ThAr.0001.ec 1.' zThAr.0001.ec.fits: ap = 1, w1 = 10811.19, w2 = 10582.96, dw = -0.13832, nw = 1651 zThAr.0001.ec.fits: ap = 2, w1 = 10611., w2 = 10387., dw = -0.13576, nw = 1651 zThAr.0001.ec.fits: ap = 3, w1 = 10418.09, w2 = 10198.16, dw = -0.13329, nw = 1651 zThAr.0001.ec.fits: ap = 4, w1 = 10232.07, w2 = 10016.07, dw = -0.13091, nw = 1651 zThAr.0001.ec.fits: ap = 5, w1 = 10052.57, w2 = 9840.372, dw = -0.12861, nw = 1651 zThAr.0001.ec.fits: ap = 6, w1 = 9879.269, w2 = 9670.729, dw = -0.12639, nw = 1651 zThAr.0001.ec.fits: ap = 7, w1 = 9711.838, w2 = 9506.836, dw = -0.12424, nw = 1651 zThAr.0001.ec.fits: ap = 8, w1 = 9549.988, w2 = 9348.405, dw = -0.12217, nw = 1651 zThAr.0001.ec.fits: ap = 9, w1 = 9393.444, w2 = 9195.169, dw = -0.12017, nw = 1651 zThAr.0001.ec.fits: ap = 10, w1 = 9241.949, w2 = 9046.875, dw = -0.11823, nw = 1651 zThAr.0001.ec.fits: ap = 11, w1 = 9095.264, w2 = 8903.289, dw = -0.11635, nw = 1651 zThAr.0001.ec.fits: ap = 12, w1 = 8953.162, w2 = 8764.19, dw = -0.11453, nw = 1651 zThAr.0001.ec.fits: ap = 13, w1 = 8815.432, w2 = 8629.37, dw = -0.11276, nw = 1651 zThAr.0001.ec.fits: ap = 14, w1 = 8681.876, w2 = 8498.635, dw = -0.11105, nw = 1651 zThAr.0001.ec.fits: ap = 15, w1 = 8552.306, w2 = 8371.803, dw = -0.1094, nw = 1651 zThAr.0001.ec.fits: ap = 16, w1 = 8426.547, w2 = 8248.701, dw = -0.10779, nw = 1651 zThAr.0001.ec.fits: ap = 17, w1 = 8304.433, w2 = 8129.167, dw = -0.10622, nw = 1651 zThAr.0001.ec.fits: ap = 18, w1 = 8185.808, w2 = 8013.049, dw = -0.1047, nw = 1651 zThAr.0001.ec.fits: ap = 19, w1 = 8070.524, w2 = 7900.201, dw = -0.10323, nw = 1651 zThAr.0001.ec.fits: ap = 20, w1 = 7958.443, w2 = 7790.487, dw = -0.10179, nw = 1651 zThAr.0001.ec.fits: ap = 21, w1 = 7849.432, w2 = 7683.78, dw = -0.1004, nw = 1651 zThAr.0001.ec.fits: ap = 22, w1 = 7743.367, w2 = 7579.956, dw = -0.09904, nw = 1651 zThAr.0001.ec.fits: ap = 23, w1 = 7640.131, w2 = 7478.901, dw = -0.09772, nw = 1651 zThAr.0001.ec.fits: ap = 24, w1 = 7539.611, w2 = 7380.505, dw = -0.09643, nw = 1651 zThAr.0001.ec.fits: ap = 25, w1 = 7441.703, w2 = 7284.665, dw = -0.09517, nw = 1651 zThAr.0001.ec.fits: ap = 26, w1 = 7346.305, w2 = 7191.283, dw = -0.09395, nw = 1651 zThAr.0001.ec.fits: ap = 27, w1 = 7253.322, w2 = 7100.264, dw = -0.09276, nw = 1651 zThAr.0001.ec.fits: ap = 28, w1 = 7162.663, w2 = 7011.521, dw = -0.0916, nw = 1651 zThAr.0001.ec.fits: ap = 29, w1 = 7074.243, w2 = 6924.97, dw = -0.09047, nw = 1651 zThAr.0001.ec.fits: ap = 30, w1 = 6987.98, w2 = 6840.529, dw = -0.08936, nw = 1651 zThAr.0001.ec.fits: ap = 31, w1 = 6903.795, w2 = 6758.123, dw = -0.08829, nw = 1651 zThAr.0001.ec.fits: ap = 32, w1 = 6821.615, w2 = 6677.679, dw = -0.08723, nw = 1651 zThAr.0001.ec.fits: ap = 33, w1 = 6741.369, w2 = 6599.129, dw = -0.08621, nw = 1651 zThAr.0001.ec.fits: ap = 34, w1 = 6662.989, w2 = 6522.405, dw = -0.0852, nw = 1651 zThAr.0001.ec.fits: ap = 35, w1 = 6586.411, w2 = 6447.445, dw = -0.08422, nw = 1651 zThAr.0001.ec.fits: ap = 36, w1 = 6511.573, w2 = 6374.188, dw = -0.08326, nw = 1651 zThAr.0001.ec.fits: ap = 37, w1 = 6438.417, w2 = 6302.578, dw = -0.08233, nw = 1651 zThAr.0001.ec.fits: ap = 38, w1 = 6366.887, w2 = 6232.559, dw = -0.08141, nw = 1651 zThAr.0001.ec.fits: ap = 39, w1 = 6296.929, w2 = 6164.08, dw = -0.08051, nw = 1651 zThAr.0001.ec.fits: ap = 40, w1 = 6228.492, w2 = 6097.089, dw = -0.07964, nw = 1651 zThAr.0001.ec.fits: ap = 41, w1 = 6161.527, w2 = 6031.539, dw = -0.07878, nw = 1651 zThAr.0001.ec.fits: ap = 42, w1 = 6095.987, w2 = 5967.384, dw = -0.07794, nw = 1651 zThAr.0001.ec.fits: ap = 43, w1 = 6031.827, w2 = 5904.579, dw = -0.07712, nw = 1651 zThAr.0001.ec.fits: ap = 44, w1 = 5969.004, w2 = 5843.083, dw = -0.07632, nw = 1651 zThAr.0001.ec.fits: ap = 45, w1 = 5907.476, w2 = 5782.855, dw = -0.07553, nw = 1651 zThAr.0001.ec.fits: ap = 46, w1 = 5847.203, w2 = 5723.857, dw = -0.07476, nw = 1651 zThAr.0001.ec.fits: ap = 47, w1 = 5788.149, w2 = 5666.05, dw = -0.074, nw = 1651 zThAr.0001.ec.fits: ap = 48, w1 = 5730.276, w2 = 5609.4, dw = -0.07326, nw = 1651 zThAr.0001.ec.fits: ap = 49, w1 = 5673.549, w2 = 5553.871, dw = -0.07253, nw = 1651 zThAr.0001.ec.fits: ap = 50, w1 = 5617.934, w2 = 5499.432, dw = -0.07182, nw = 1651 zThAr.0001.ec.fits: ap = 51, w1 = 5563.399, w2 = 5446.049, dw = -0.07112, nw = 1651 zThAr.0001.ec.fits: ap = 52, w1 = 5509.913, w2 = 5393.694, dw = -0.07044, nw = 1651 zThAr.0001.ec.fits: ap = 53, w1 = 5457.446, w2 = 5342.335, dw = -0.06976, nw = 1651 zThAr.0001.ec.fits: ap = 54, w1 = 5405.97, w2 = 5291.946, dw = -0.06911, nw = 1651 zThAr.0001.ec.fits: ap = 55, w1 = 5355.455, w2 = 5242.499, dw = -0.06846, nw = 1651 zThAr.0001.ec.fits: ap = 56, w1 = 5305.876, w2 = 5193.968, dw = -0.06782, nw = 1651 zThAr.0001.ec.fits: ap = 57, w1 = 5257.207, w2 = 5146.327, dw = -0.0672, nw = 1651 zThAr.0001.ec.fits: ap = 58, w1 = 5209.423, w2 = 5099.552, dw = -0.06659, nw = 1651 zThAr.0001.ec.fits: ap = 59, w1 = 5162.499, w2 = 5053.621, dw = -0.06599, nw = 1651 zThAr.0001.ec.fits: ap = 60, w1 = 5116.414, w2 = 5008.509, dw = -0.0654, nw = 1651 zThAr.0001.ec.fits: ap = 61, w1 = 5071.145, w2 = 4964.196, dw = -0.06482, nw = 1651 zThAr.0001.ec.fits: ap = 62, w1 = 5026.67, w2 = 4920.661, dw = -0.06425, nw = 1651 zThAr.0001.ec.fits: ap = 63, w1 = 4982.968, w2 = 4877.883, dw = -0.06369, nw = 1651 zThAr.0001.ec.fits: ap = 64, w1 = 4940.02, w2 = 4835.842, dw = -0.06314, nw = 1651 zThAr.0001.ec.fits: ap = 65, w1 = 4897.806, w2 = 4794.52, dw = -0.0626, nw = 1651 zThAr.0001.ec.fits: ap = 66, w1 = 4856.308, w2 = 4753.899, dw = -0.06207, nw = 1651 zThAr.0001.ec.fits: ap = 67, w1 = 4815.507, w2 = 4713.96, dw = -0.06154, nw = 1651 zThAr.0001.ec.fits: ap = 68, w1 = 4775.387, w2 = 4674.687, dw = -0.06103, nw = 1651 zThAr.0001.ec.fits: ap = 69, w1 = 4735.929, w2 = 4636.063, dw = -0.06052, nw = 1651 zThAr.0001.ec.fits: ap = 70, w1 = 4697.119, w2 = 4598.073, dw = -0.06003, nw = 1651 zThAr.0001.ec.fits: ap = 71, w1 = 4658.939, w2 = 4560.7, dw = -0.05954, nw = 1651 zThAr.0001.ec.fits: ap = 72, w1 = 4621.375, w2 = 4523.93, dw = -0.05906, nw = 1651 zThAr.0001.ec.fits: ap = 73, w1 = 4584.413, w2 = 4487.748, dw = -0.05858, nw = 1651 zThAr.0001.ec.fits: ap = 74, w1 = 4548.037, w2 = 4452.14, dw = -0.05812, nw = 1651 zThAr.0001.ec.fits: ap = 75, w1 = 4512.233, w2 = 4417.093, dw = -0.05766, nw = 1651 zThAr.0001.ec.fits: ap = 76, w1 = 4476.99, w2 = 4382.594, dw = -0.05721, nw = 1651 zThAr.0001.ec.fits: ap = 77, w1 = 4442.292, w2 = 4348.63, dw = -0.05677, nw = 1651 zThAr.0001.ec.fits: ap = 78, w1 = 4408.129, w2 = 4315.188, dw = -0.05633, nw = 1651 zThAr.0001.ec.fits: ap = 79, w1 = 4374.487, w2 = 4282.256, dw = -0.0559, nw = 1651 zThAr.0001.ec.fits: ap = 80, w1 = 4341.354, w2 = 4249.823, dw = -0.05547, nw = 1651 zThAr.0001.ec.fits: ap = 81, w1 = 4308.72, w2 = 4217.878, dw = -0.05506, nw = 1651 zThAr.0001.ec.fits: ap = 82, w1 = 4276.573, w2 = 4186.41, dw = -0.05464, nw = 1651 zThAr.0001.ec.fits: ap = 83, w1 = 4244.902, w2 = 4155.408, dw = -0.05424, nw = 1651 zThAr.0001.ec.fits: ap = 84, w1 = 4213.697, w2 = 4124.861, dw = -0.05384, nw = 1651 zThAr.0001.ec.fits: ap = 85, w1 = 4182.947, w2 = 4094.761, dw = -0.05345, nw = 1651 zThAr.0001.ec.fits: ap = 86, w1 = 4152.642, w2 = 4065.096, dw = -0.05306, nw = 1651 zThAr.0001.ec.fits: ap = 87, w1 = 4122.774, w2 = 4035.858, dw = -0.05268, nw = 1651 zThAr.0001.ec.fits: ap = 88, w1 = 4093.332, w2 = 4007.038, dw = -0.0523, nw = 1651 zThAr.0001.ec.fits: ap = 89, w1 = 4064.308, w2 = 3978.626, dw = -0.05193, nw = 1651 zThAr.0001.ec.fits: ap = 90, w1 = 4035.692, w2 = 3950.614, dw = -0.05156, nw = 1651 zThAr.0001.ec.fits: ap = 91, w1 = 4007.476, w2 = 3922.994, dw = -0.0512, nw = 1651 zThAr.0001.ec.fits: ap = 92, w1 = 3979.652, w2 = 3895.757, dw = -0.05085, nw = 1651 zThAr.0001.ec.fits: ap = 93, w1 = 3952.212, w2 = 3868.896, dw = -0.05049, nw = 1651 zThAr.0001.ec.fits: ap = 94, w1 = 3925.147, w2 = 3842.402, dw = -0.05015, nw = 1651 zThAr.0001.ec.fits: ap = 95, w1 = 3898.45, w2 = 3816.269, dw = -0.04981, nw = 1651 zThAr.0001.ec.fits: ap = 96, w1 = 3872.114, w2 = 3790.488, dw = -0.04947, nw = 1651 zThAr.0001.ec.fits: ap = 97, w1 = 3846.131, w2 = 3765.054, dw = -0.04914, nw = 1651 zThAr.0001.ec.fits: ap = 98, w1 = 3820.495, w2 = 3739.958, dw = -0.04881, nw = 1651 zThAr.0001.ec.fits: ap = 99, w1 = 3795.197, w2 = 3715.194, dw = -0.04849, nw = 1651 zThAr.0001.ec.fits: ap = 100, w1 = 3770.233, w2 = 3690.755, dw = -0.04817, nw = 1651 zThAr.0001.ec.fits: ap = 101, w1 = 3745.594, w2 = 3666.636, dw = -0.04785, nw = 1651 zThAr.0001.ec.fits: ap = 102, w1 = 3721.275, w2 = 3642.83, dw = -0.04754, nw = 1651 zThAr.0001.ec.fits: ap = 103, w1 = 3697.269, w2 = 3619.33, dw = -0.04724, nw = 1651 zThAr.0001.ec.fits: ap = 104, w1 = 3673.571, w2 = 3596.132, dw = -0.04693, nw = 1651 zThAr.0001.ec.fits: ap = 105, w1 = 3650.175, w2 = 3573.228, dw = -0.04663, nw = 1651 zThAr.0001.ec.fits: ap = 106, w1 = 3627.074, w2 = 3550.614, dw = -0.04634, nw = 1651 zThAr.0001.ec.fits: ap = 107, w1 = 3604.264, w2 = 3528.284, dw = -0.04605, nw = 1651 zThAr.0001.ec.fits: ap = 108, w1 = 3581.738, w2 = 3506.233, dw = -0.04576, nw = 1651 zThAr.0001.ec.fits: ap = 109, w1 = 3559.492, w2 = 3484.455, dw = -0.04548, nw = 1651 zThAr.0001.ec.fits: ap = 110, w1 = 3537.52, w2 = 3462.946, dw = -0.0452, nw = 1651 zThAr.0001.ec.fits: ap = 111, w1 = 3515.817, w2 = 3441.7, dw = -0.04492, nw = 1651 zThAr.0001.ec.fits: ap = 112, w1 = 3494.379, w2 = 3420.712, dw = -0.04465, nw = 1651 zThAr.0001.ec.fits: ap = 113, w1 = 3473.199, w2 = 3399.979, dw = -0.04438, nw = 1651 zThAr.0001.ec.fits: ap = 114, w1 = 3452.275, w2 = 3379.495, dw = -0.04411, nw = 1651 zThAr.0001.ec.fits: ap = 115, w1 = 3431.601, w2 = 3359.255, dw = -0.04385, nw = 1651 ThAr.0002.ec.fits: REFSPEC1 = 'ThAr.0002.ec 1.' zThAr.0002.ec.fits: ap = 1, w1 = 10811.13, w2 = 10582.97, dw = -0.13828, nw = 1651 zThAr.0002.ec.fits: ap = 2, w1 = 10610.94, w2 = 10387.01, dw = -0.13572, nw = 1651 zThAr.0002.ec.fits: ap = 3, w1 = 10418.04, w2 = 10198.17, dw = -0.13325, nw = 1651 zThAr.0002.ec.fits: ap = 4, w1 = 10232.02, w2 = 10016.07, dw = -0.13088, nw = 1651 zThAr.0002.ec.fits: ap = 5, w1 = 10052.53, w2 = 9840.369, dw = -0.12858, nw = 1651 zThAr.0002.ec.fits: ap = 6, w1 = 9879.226, w2 = 9670.723, dw = -0.12637, nw = 1651 zThAr.0002.ec.fits: ap = 7, w1 = 9711.798, w2 = 9506.828, dw = -0.12422, nw = 1651 zThAr.0002.ec.fits: ap = 8, w1 = 9549.951, w2 = 9348.396, dw = -0.12215, nw = 1651 zThAr.0002.ec.fits: ap = 9, w1 = 9393.41, w2 = 9195.158, dw = -0.12015, nw = 1651 zThAr.0002.ec.fits: ap = 10, w1 = 9241.919, w2 = 9046.863, dw = -0.11822, nw = 1651 zThAr.0002.ec.fits: ap = 11, w1 = 9095.236, w2 = 8903.276, dw = -0.11634, nw = 1651 zThAr.0002.ec.fits: ap = 12, w1 = 8953.137, w2 = 8764.176, dw = -0.11452, nw = 1651 zThAr.0002.ec.fits: ap = 13, w1 = 8815.41, w2 = 8629.357, dw = -0.11276, nw = 1651 zThAr.0002.ec.fits: ap = 14, w1 = 8681.856, w2 = 8498.622, dw = -0.11105, nw = 1651 zThAr.0002.ec.fits: ap = 15, w1 = 8552.289, w2 = 8371.79, dw = -0.10939, nw = 1651 zThAr.0002.ec.fits: ap = 16, w1 = 8426.532, w2 = 8248.689, dw = -0.10778, nw = 1651 zThAr.0002.ec.fits: ap = 17, w1 = 8304.42, w2 = 8129.155, dw = -0.10622, nw = 1651 zThAr.0002.ec.fits: ap = 18, w1 = 8185.797, w2 = 8013.037, dw = -0.1047, nw = 1651 zThAr.0002.ec.fits: ap = 19, w1 = 8070.516, w2 = 7900.19, dw = -0.10323, nw = 1651 zThAr.0002.ec.fits: ap = 20, w1 = 7958.436, w2 = 7790.477, dw = -0.10179, nw = 1651 zThAr.0002.ec.fits: ap = 21, w1 = 7849.427, w2 = 7683.77, dw = -0.1004, nw = 1651 zThAr.0002.ec.fits: ap = 22, w1 = 7743.364, w2 = 7579.948, dw = -0.09904, nw = 1651 zThAr.0002.ec.fits: ap = 23, w1 = 7640.13, w2 = 7478.893, dw = -0.09772, nw = 1651 zThAr.0002.ec.fits: ap = 24, w1 = 7539.611, w2 = 7380.499, dw = -0.09643, nw = 1651 zThAr.0002.ec.fits: ap = 25, w1 = 7441.704, w2 = 7284.66, dw = -0.09518, nw = 1651 zThAr.0002.ec.fits: ap = 26, w1 = 7346.307, w2 = 7191.278, dw = -0.09396, nw = 1651 zThAr.0002.ec.fits: ap = 27, w1 = 7253.326, w2 = 7100.26, dw = -0.09277, nw = 1651 zThAr.0002.ec.fits: ap = 28, w1 = 7162.668, w2 = 7011.518, dw = -0.09161, nw = 1651 zThAr.0002.ec.fits: ap = 29, w1 = 7074.249, w2 = 6924.968, dw = -0.09047, nw = 1651 zThAr.0002.ec.fits: ap = 30, w1 = 6987.987, w2 = 6840.528, dw = -0.08937, nw = 1651 zThAr.0002.ec.fits: ap = 31, w1 = 6903.803, w2 = 6758.123, dw = -0.08829, nw = 1651 zThAr.0002.ec.fits: ap = 32, w1 = 6821.624, w2 = 6677.68, dw = -0.08724, nw = 1651 zThAr.0002.ec.fits: ap = 33, w1 = 6741.378, w2 = 6599.13, dw = -0.08621, nw = 1651 zThAr.0002.ec.fits: ap = 34, w1 = 6662.999, w2 = 6522.406, dw = -0.08521, nw = 1651 zThAr.0002.ec.fits: ap = 35, w1 = 6586.421, w2 = 6447.447, dw = -0.08423, nw = 1651 zThAr.0002.ec.fits: ap = 36, w1 = 6511.584, w2 = 6374.191, dw = -0.08327, nw = 1651 zThAr.0002.ec.fits: ap = 37, w1 = 6438.428, w2 = 6302.581, dw = -0.08233, nw = 1651 zThAr.0002.ec.fits: ap = 38, w1 = 6366.899, w2 = 6232.563, dw = -0.08142, nw = 1651 zThAr.0002.ec.fits: ap = 39, w1 = 6296.941, w2 = 6164.084, dw = -0.08052, nw = 1651 zThAr.0002.ec.fits: ap = 40, w1 = 6228.504, w2 = 6097.093, dw = -0.07964, nw = 1651 zThAr.0002.ec.fits: ap = 41, w1 = 6161.539, w2 = 6031.543, dw = -0.07879, nw = 1651 zThAr.0002.ec.fits: ap = 42, w1 = 6095.999, w2 = 5967.388, dw = -0.07795, nw = 1651 zThAr.0002.ec.fits: ap = 43, w1 = 6031.839, w2 = 5904.584, dw = -0.07712, nw = 1651 zThAr.0002.ec.fits: ap = 44, w1 = 5969.015, w2 = 5843.088, dw = -0.07632, nw = 1651 zThAr.0002.ec.fits: ap = 45, w1 = 5907.487, w2 = 5782.86, dw = -0.07553, nw = 1651 zThAr.0002.ec.fits: ap = 46, w1 = 5847.214, w2 = 5723.861, dw = -0.07476, nw = 1651 zThAr.0002.ec.fits: ap = 47, w1 = 5788.159, w2 = 5666.055, dw = -0.074, nw = 1651 zThAr.0002.ec.fits: ap = 48, w1 = 5730.286, w2 = 5609.404, dw = -0.07326, nw = 1651 zThAr.0002.ec.fits: ap = 49, w1 = 5673.558, w2 = 5553.876, dw = -0.07253, nw = 1651 zThAr.0002.ec.fits: ap = 50, w1 = 5617.943, w2 = 5499.436, dw = -0.07182, nw = 1651 zThAr.0002.ec.fits: ap = 51, w1 = 5563.408, w2 = 5446.053, dw = -0.07112, nw = 1651 zThAr.0002.ec.fits: ap = 52, w1 = 5509.921, w2 = 5393.697, dw = -0.07044, nw = 1651 zThAr.0002.ec.fits: ap = 53, w1 = 5457.453, w2 = 5342.338, dw = -0.06977, nw = 1651 zThAr.0002.ec.fits: ap = 54, w1 = 5405.976, w2 = 5291.949, dw = -0.06911, nw = 1651 zThAr.0002.ec.fits: ap = 55, w1 = 5355.46, w2 = 5242.501, dw = -0.06846, nw = 1651 zThAr.0002.ec.fits: ap = 56, w1 = 5305.881, w2 = 5193.969, dw = -0.06783, nw = 1651 zThAr.0002.ec.fits: ap = 57, w1 = 5257.211, w2 = 5146.328, dw = -0.0672, nw = 1651 zThAr.0002.ec.fits: ap = 58, w1 = 5209.425, w2 = 5099.553, dw = -0.06659, nw = 1651 zThAr.0002.ec.fits: ap = 59, w1 = 5162.501, w2 = 5053.621, dw = -0.06599, nw = 1651 zThAr.0002.ec.fits: ap = 60, w1 = 5116.415, w2 = 5008.509, dw = -0.0654, nw = 1651 zThAr.0002.ec.fits: ap = 61, w1 = 5071.145, w2 = 4964.196, dw = -0.06482, nw = 1651 zThAr.0002.ec.fits: ap = 62, w1 = 5026.669, w2 = 4920.66, dw = -0.06425, nw = 1651 zThAr.0002.ec.fits: ap = 63, w1 = 4982.966, w2 = 4877.881, dw = -0.06369, nw = 1651 zThAr.0002.ec.fits: ap = 64, w1 = 4940.017, w2 = 4835.84, dw = -0.06314, nw = 1651 zThAr.0002.ec.fits: ap = 65, w1 = 4897.802, w2 = 4794.518, dw = -0.0626, nw = 1651 zThAr.0002.ec.fits: ap = 66, w1 = 4856.303, w2 = 4753.896, dw = -0.06206, nw = 1651 zThAr.0002.ec.fits: ap = 67, w1 = 4815.501, w2 = 4713.957, dw = -0.06154, nw = 1651 zThAr.0002.ec.fits: ap = 68, w1 = 4775.379, w2 = 4674.683, dw = -0.06103, nw = 1651 zThAr.0002.ec.fits: ap = 69, w1 = 4735.921, w2 = 4636.059, dw = -0.06052, nw = 1651 zThAr.0002.ec.fits: ap = 70, w1 = 4697.109, w2 = 4598.068, dw = -0.06002, nw = 1651 zThAr.0002.ec.fits: ap = 71, w1 = 4658.928, w2 = 4560.695, dw = -0.05954, nw = 1651 zThAr.0002.ec.fits: ap = 72, w1 = 4621.363, w2 = 4523.925, dw = -0.05905, nw = 1651 zThAr.0002.ec.fits: ap = 73, w1 = 4584.399, w2 = 4487.743, dw = -0.05858, nw = 1651 zThAr.0002.ec.fits: ap = 74, w1 = 4548.022, w2 = 4452.135, dw = -0.05811, nw = 1651 zThAr.0002.ec.fits: ap = 75, w1 = 4512.218, w2 = 4417.088, dw = -0.05765, nw = 1651 zThAr.0002.ec.fits: ap = 76, w1 = 4476.973, w2 = 4382.589, dw = -0.0572, nw = 1651 zThAr.0002.ec.fits: ap = 77, w1 = 4442.275, w2 = 4348.625, dw = -0.05676, nw = 1651 zThAr.0002.ec.fits: ap = 78, w1 = 4408.11, w2 = 4315.184, dw = -0.05632, nw = 1651 zThAr.0002.ec.fits: ap = 79, w1 = 4374.467, w2 = 4282.253, dw = -0.05589, nw = 1651 zThAr.0002.ec.fits: ap = 80, w1 = 4341.334, w2 = 4249.821, dw = -0.05546, nw = 1651 zThAr.0002.ec.fits: ap = 81, w1 = 4308.699, w2 = 4217.877, dw = -0.05504, nw = 1651 zThAr.0002.ec.fits: ap = 82, w1 = 4276.55, w2 = 4186.409, dw = -0.05463, nw = 1651 zThAr.0002.ec.fits: ap = 83, w1 = 4244.878, w2 = 4155.408, dw = -0.05422, nw = 1651 zThAr.0002.ec.fits: ap = 84, w1 = 4213.672, w2 = 4124.863, dw = -0.05382, nw = 1651 zThAr.0002.ec.fits: ap = 85, w1 = 4182.921, w2 = 4094.764, dw = -0.05343, nw = 1651 zThAr.0002.ec.fits: ap = 86, w1 = 4152.616, w2 = 4065.101, dw = -0.05304, nw = 1651 zThAr.0002.ec.fits: ap = 87, w1 = 4122.747, w2 = 4035.864, dw = -0.05266, nw = 1651 zThAr.0002.ec.fits: ap = 88, w1 = 4093.304, w2 = 4007.046, dw = -0.05228, nw = 1651 zThAr.0002.ec.fits: ap = 89, w1 = 4064.279, w2 = 3978.636, dw = -0.0519, nw = 1651 zThAr.0002.ec.fits: ap = 90, w1 = 4035.663, w2 = 3950.627, dw = -0.05154, nw = 1651 zThAr.0002.ec.fits: ap = 91, w1 = 4007.446, w2 = 3923.009, dw = -0.05117, nw = 1651 zThAr.0002.ec.fits: ap = 92, w1 = 3979.622, w2 = 3895.775, dw = -0.05082, nw = 1651 zThAr.0002.ec.fits: ap = 93, w1 = 3952.181, w2 = 3868.917, dw = -0.05046, nw = 1651 zThAr.0002.ec.fits: ap = 94, w1 = 3925.116, w2 = 3842.426, dw = -0.05011, nw = 1651 zThAr.0002.ec.fits: ap = 95, w1 = 3898.419, w2 = 3816.296, dw = -0.04977, nw = 1651 zThAr.0002.ec.fits: ap = 96, w1 = 3872.082, w2 = 3790.52, dw = -0.04943, nw = 1651 zThAr.0002.ec.fits: ap = 97, w1 = 3846.099, w2 = 3765.089, dw = -0.0491, nw = 1651 zThAr.0002.ec.fits: ap = 98, w1 = 3820.463, w2 = 3739.997, dw = -0.04877, nw = 1651 zThAr.0002.ec.fits: ap = 99, w1 = 3795.165, w2 = 3715.238, dw = -0.04844, nw = 1651 zThAr.0002.ec.fits: ap = 100, w1 = 3770.2, w2 = 3690.804, dw = -0.04812, nw = 1651 zThAr.0002.ec.fits: ap = 101, w1 = 3745.562, w2 = 3666.69, dw = -0.0478, nw = 1651 zThAr.0002.ec.fits: ap = 102, w1 = 3721.243, w2 = 3642.889, dw = -0.04749, nw = 1651 zThAr.0002.ec.fits: ap = 103, w1 = 3697.238, w2 = 3619.395, dw = -0.04718, nw = 1651 zThAr.0002.ec.fits: ap = 104, w1 = 3673.54, w2 = 3596.203, dw = -0.04687, nw = 1651 zThAr.0002.ec.fits: ap = 105, w1 = 3650.144, w2 = 3573.305, dw = -0.04657, nw = 1651 zThAr.0002.ec.fits: ap = 106, w1 = 3627.044, w2 = 3550.698, dw = -0.04627, nw = 1651 zThAr.0002.ec.fits: ap = 107, w1 = 3604.234, w2 = 3528.375, dw = -0.04597, nw = 1651 zThAr.0002.ec.fits: ap = 108, w1 = 3581.709, w2 = 3506.331, dw = -0.04568, nw = 1651 zThAr.0002.ec.fits: ap = 109, w1 = 3559.463, w2 = 3484.561, dw = -0.0454, nw = 1651 zThAr.0002.ec.fits: ap = 110, w1 = 3537.492, w2 = 3463.06, dw = -0.04511, nw = 1651 zThAr.0002.ec.fits: ap = 111, w1 = 3515.79, w2 = 3441.823, dw = -0.04483, nw = 1651 zThAr.0002.ec.fits: ap = 112, w1 = 3494.353, w2 = 3420.844, dw = -0.04455, nw = 1651 zThAr.0002.ec.fits: ap = 113, w1 = 3473.175, w2 = 3400.12, dw = -0.04428, nw = 1651 zThAr.0002.ec.fits: ap = 114, w1 = 3452.252, w2 = 3379.645, dw = -0.044, nw = 1651 zThAr.0002.ec.fits: ap = 115, w1 = 3431.579, w2 = 3359.416, dw = -0.04374, nw = 1651 ThAr.0003.ec.fits: REFSPEC1 = 'ThAr.0003.ec 1.' zThAr.0003.ec.fits: ap = 1, w1 = 10811.12, w2 = 10582.95, dw = -0.13828, nw = 1651 zThAr.0003.ec.fits: ap = 2, w1 = 10610.94, w2 = 10386.99, dw = -0.13572, nw = 1651 zThAr.0003.ec.fits: ap = 3, w1 = 10418.03, w2 = 10198.16, dw = -0.13326, nw = 1651 zThAr.0003.ec.fits: ap = 4, w1 = 10232.02, w2 = 10016.07, dw = -0.13088, nw = 1651 zThAr.0003.ec.fits: ap = 5, w1 = 10052.53, w2 = 9840.364, dw = -0.12859, nw = 1651 zThAr.0003.ec.fits: ap = 6, w1 = 9879.232, w2 = 9670.72, dw = -0.12637, nw = 1651 zThAr.0003.ec.fits: ap = 7, w1 = 9711.806, w2 = 9506.827, dw = -0.12423, nw = 1651 zThAr.0003.ec.fits: ap = 8, w1 = 9549.96, w2 = 9348.396, dw = -0.12216, nw = 1651 zThAr.0003.ec.fits: ap = 9, w1 = 9393.42, w2 = 9195.16, dw = -0.12016, nw = 1651 zThAr.0003.ec.fits: ap = 10, w1 = 9241.929, w2 = 9046.866, dw = -0.11822, nw = 1651 zThAr.0003.ec.fits: ap = 11, w1 = 9095.247, w2 = 8903.28, dw = -0.11634, nw = 1651 zThAr.0003.ec.fits: ap = 12, w1 = 8953.149, w2 = 8764.181, dw = -0.11453, nw = 1651 zThAr.0003.ec.fits: ap = 13, w1 = 8815.422, w2 = 8629.362, dw = -0.11276, nw = 1651 zThAr.0003.ec.fits: ap = 14, w1 = 8681.868, w2 = 8498.628, dw = -0.11105, nw = 1651 zThAr.0003.ec.fits: ap = 15, w1 = 8552.3, w2 = 8371.796, dw = -0.1094, nw = 1651 zThAr.0003.ec.fits: ap = 16, w1 = 8426.543, w2 = 8248.694, dw = -0.10779, nw = 1651 zThAr.0003.ec.fits: ap = 17, w1 = 8304.431, w2 = 8129.161, dw = -0.10622, nw = 1651 zThAr.0003.ec.fits: ap = 18, w1 = 8185.808, w2 = 8013.043, dw = -0.10471, nw = 1651 zThAr.0003.ec.fits: ap = 19, w1 = 8070.525, w2 = 7900.195, dw = -0.10323, nw = 1651 zThAr.0003.ec.fits: ap = 20, w1 = 7958.445, w2 = 7790.482, dw = -0.1018, nw = 1651 zThAr.0003.ec.fits: ap = 21, w1 = 7849.436, w2 = 7683.775, dw = -0.1004, nw = 1651 zThAr.0003.ec.fits: ap = 22, w1 = 7743.372, w2 = 7579.952, dw = -0.09904, nw = 1651 zThAr.0003.ec.fits: ap = 23, w1 = 7640.136, w2 = 7478.898, dw = -0.09772, nw = 1651 zThAr.0003.ec.fits: ap = 24, w1 = 7539.618, w2 = 7380.502, dw = -0.09643, nw = 1651 zThAr.0003.ec.fits: ap = 25, w1 = 7441.71, w2 = 7284.663, dw = -0.09518, nw = 1651 zThAr.0003.ec.fits: ap = 26, w1 = 7346.312, w2 = 7191.281, dw = -0.09396, nw = 1651 zThAr.0003.ec.fits: ap = 27, w1 = 7253.329, w2 = 7100.263, dw = -0.09277, nw = 1651 zThAr.0003.ec.fits: ap = 28, w1 = 7162.671, w2 = 7011.52, dw = -0.09161, nw = 1651 zThAr.0003.ec.fits: ap = 29, w1 = 7074.252, w2 = 6924.969, dw = -0.09047, nw = 1651 zThAr.0003.ec.fits: ap = 30, w1 = 6987.989, w2 = 6840.529, dw = -0.08937, nw = 1651 zThAr.0003.ec.fits: ap = 31, w1 = 6903.804, w2 = 6758.123, dw = -0.08829, nw = 1651 zThAr.0003.ec.fits: ap = 32, w1 = 6821.624, w2 = 6677.68, dw = -0.08724, nw = 1651 zThAr.0003.ec.fits: ap = 33, w1 = 6741.378, w2 = 6599.129, dw = -0.08621, nw = 1651 zThAr.0003.ec.fits: ap = 34, w1 = 6662.998, w2 = 6522.405, dw = -0.08521, nw = 1651 zThAr.0003.ec.fits: ap = 35, w1 = 6586.42, w2 = 6447.445, dw = -0.08423, nw = 1651 zThAr.0003.ec.fits: ap = 36, w1 = 6511.582, w2 = 6374.189, dw = -0.08327, nw = 1651 zThAr.0003.ec.fits: ap = 37, w1 = 6438.426, w2 = 6302.579, dw = -0.08233, nw = 1651 zThAr.0003.ec.fits: ap = 38, w1 = 6366.896, w2 = 6232.561, dw = -0.08142, nw = 1651 zThAr.0003.ec.fits: ap = 39, w1 = 6296.938, w2 = 6164.081, dw = -0.08052, nw = 1651 zThAr.0003.ec.fits: ap = 40, w1 = 6228.501, w2 = 6097.09, dw = -0.07964, nw = 1651 zThAr.0003.ec.fits: ap = 41, w1 = 6161.536, w2 = 6031.54, dw = -0.07879, nw = 1651 zThAr.0003.ec.fits: ap = 42, w1 = 6095.996, w2 = 5967.385, dw = -0.07795, nw = 1651 zThAr.0003.ec.fits: ap = 43, w1 = 6031.835, w2 = 5904.58, dw = -0.07712, nw = 1651 zThAr.0003.ec.fits: ap = 44, w1 = 5969.012, w2 = 5843.084, dw = -0.07632, nw = 1651 zThAr.0003.ec.fits: ap = 45, w1 = 5907.483, w2 = 5782.856, dw = -0.07553, nw = 1651 zThAr.0003.ec.fits: ap = 46, w1 = 5847.211, w2 = 5723.858, dw = -0.07476, nw = 1651 zThAr.0003.ec.fits: ap = 47, w1 = 5788.156, w2 = 5666.051, dw = -0.074, nw = 1651 zThAr.0003.ec.fits: ap = 48, w1 = 5730.283, w2 = 5609.4, dw = -0.07326, nw = 1651 zThAr.0003.ec.fits: ap = 49, w1 = 5673.556, w2 = 5553.872, dw = -0.07254, nw = 1651 zThAr.0003.ec.fits: ap = 50, w1 = 5617.941, w2 = 5499.432, dw = -0.07182, nw = 1651 zThAr.0003.ec.fits: ap = 51, w1 = 5563.406, w2 = 5446.049, dw = -0.07113, nw = 1651 zThAr.0003.ec.fits: ap = 52, w1 = 5509.92, w2 = 5393.693, dw = -0.07044, nw = 1651 zThAr.0003.ec.fits: ap = 53, w1 = 5457.453, w2 = 5342.335, dw = -0.06977, nw = 1651 zThAr.0003.ec.fits: ap = 54, w1 = 5405.976, w2 = 5291.945, dw = -0.06911, nw = 1651 zThAr.0003.ec.fits: ap = 55, w1 = 5355.461, w2 = 5242.498, dw = -0.06846, nw = 1651 zThAr.0003.ec.fits: ap = 56, w1 = 5305.881, w2 = 5193.966, dw = -0.06783, nw = 1651 zThAr.0003.ec.fits: ap = 57, w1 = 5257.212, w2 = 5146.325, dw = -0.0672, nw = 1651 zThAr.0003.ec.fits: ap = 58, w1 = 5209.428, w2 = 5099.551, dw = -0.06659, nw = 1651 zThAr.0003.ec.fits: ap = 59, w1 = 5162.504, w2 = 5053.619, dw = -0.06599, nw = 1651 zThAr.0003.ec.fits: ap = 60, w1 = 5116.419, w2 = 5008.507, dw = -0.0654, nw = 1651 zThAr.0003.ec.fits: ap = 61, w1 = 5071.149, w2 = 4964.194, dw = -0.06482, nw = 1651 zThAr.0003.ec.fits: ap = 62, w1 = 5026.674, w2 = 4920.658, dw = -0.06425, nw = 1651 zThAr.0003.ec.fits: ap = 63, w1 = 4982.972, w2 = 4877.88, dw = -0.06369, nw = 1651 zThAr.0003.ec.fits: ap = 64, w1 = 4940.023, w2 = 4835.839, dw = -0.06314, nw = 1651 zThAr.0003.ec.fits: ap = 65, w1 = 4897.809, w2 = 4794.517, dw = -0.0626, nw = 1651 zThAr.0003.ec.fits: ap = 66, w1 = 4856.311, w2 = 4753.896, dw = -0.06207, nw = 1651 zThAr.0003.ec.fits: ap = 67, w1 = 4815.51, w2 = 4713.957, dw = -0.06155, nw = 1651 zThAr.0003.ec.fits: ap = 68, w1 = 4775.388, w2 = 4674.684, dw = -0.06103, nw = 1651 zThAr.0003.ec.fits: ap = 69, w1 = 4735.931, w2 = 4636.06, dw = -0.06053, nw = 1651 zThAr.0003.ec.fits: ap = 70, w1 = 4697.119, w2 = 4598.069, dw = -0.06003, nw = 1651 zThAr.0003.ec.fits: ap = 71, w1 = 4658.939, w2 = 4560.697, dw = -0.05954, nw = 1651 zThAr.0003.ec.fits: ap = 72, w1 = 4621.375, w2 = 4523.927, dw = -0.05906, nw = 1651 zThAr.0003.ec.fits: ap = 73, w1 = 4584.412, w2 = 4487.745, dw = -0.05859, nw = 1651 zThAr.0003.ec.fits: ap = 74, w1 = 4548.035, w2 = 4452.138, dw = -0.05812, nw = 1651 zThAr.0003.ec.fits: ap = 75, w1 = 4512.232, w2 = 4417.091, dw = -0.05766, nw = 1651 zThAr.0003.ec.fits: ap = 76, w1 = 4476.987, w2 = 4382.592, dw = -0.05721, nw = 1651 zThAr.0003.ec.fits: ap = 77, w1 = 4442.289, w2 = 4348.628, dw = -0.05676, nw = 1651 zThAr.0003.ec.fits: ap = 78, w1 = 4408.125, w2 = 4315.187, dw = -0.05633, nw = 1651 zThAr.0003.ec.fits: ap = 79, w1 = 4374.482, w2 = 4282.256, dw = -0.05589, nw = 1651 zThAr.0003.ec.fits: ap = 80, w1 = 4341.349, w2 = 4249.824, dw = -0.05547, nw = 1651 zThAr.0003.ec.fits: ap = 81, w1 = 4308.714, w2 = 4217.88, dw = -0.05505, nw = 1651 zThAr.0003.ec.fits: ap = 82, w1 = 4276.566, w2 = 4186.412, dw = -0.05464, nw = 1651 zThAr.0003.ec.fits: ap = 83, w1 = 4244.894, w2 = 4155.411, dw = -0.05423, nw = 1651 zThAr.0003.ec.fits: ap = 84, w1 = 4213.687, w2 = 4124.866, dw = -0.05383, nw = 1651 zThAr.0003.ec.fits: ap = 85, w1 = 4182.936, w2 = 4094.766, dw = -0.05344, nw = 1651 zThAr.0003.ec.fits: ap = 86, w1 = 4152.631, w2 = 4065.103, dw = -0.05305, nw = 1651 zThAr.0003.ec.fits: ap = 87, w1 = 4122.761, w2 = 4035.867, dw = -0.05266, nw = 1651 zThAr.0003.ec.fits: ap = 88, w1 = 4093.318, w2 = 4007.048, dw = -0.05228, nw = 1651 zThAr.0003.ec.fits: ap = 89, w1 = 4064.292, w2 = 3978.638, dw = -0.05191, nw = 1651 zThAr.0003.ec.fits: ap = 90, w1 = 4035.675, w2 = 3950.627, dw = -0.05154, nw = 1651 zThAr.0003.ec.fits: ap = 91, w1 = 4007.457, w2 = 3923.009, dw = -0.05118, nw = 1651 zThAr.0003.ec.fits: ap = 92, w1 = 3979.632, w2 = 3895.774, dw = -0.05082, nw = 1651 zThAr.0003.ec.fits: ap = 93, w1 = 3952.19, w2 = 3868.915, dw = -0.05047, nw = 1651 zThAr.0003.ec.fits: ap = 94, w1 = 3925.123, w2 = 3842.424, dw = -0.05012, nw = 1651 zThAr.0003.ec.fits: ap = 95, w1 = 3898.425, w2 = 3816.293, dw = -0.04978, nw = 1651 zThAr.0003.ec.fits: ap = 96, w1 = 3872.086, w2 = 3790.515, dw = -0.04944, nw = 1651 zThAr.0003.ec.fits: ap = 97, w1 = 3846.101, w2 = 3765.082, dw = -0.0491, nw = 1651 zThAr.0003.ec.fits: ap = 98, w1 = 3820.463, w2 = 3739.989, dw = -0.04877, nw = 1651 zThAr.0003.ec.fits: ap = 99, w1 = 3795.163, w2 = 3715.229, dw = -0.04845, nw = 1651 zThAr.0003.ec.fits: ap = 100, w1 = 3770.196, w2 = 3690.793, dw = -0.04812, nw = 1651 zThAr.0003.ec.fits: ap = 101, w1 = 3745.554, w2 = 3666.677, dw = -0.0478, nw = 1651 zThAr.0003.ec.fits: ap = 102, w1 = 3721.233, w2 = 3642.875, dw = -0.04749, nw = 1651 zThAr.0003.ec.fits: ap = 103, w1 = 3697.224, w2 = 3619.379, dw = -0.04718, nw = 1651 zThAr.0003.ec.fits: ap = 104, w1 = 3673.523, w2 = 3596.184, dw = -0.04687, nw = 1651 zThAr.0003.ec.fits: ap = 105, w1 = 3650.124, w2 = 3573.285, dw = -0.04657, nw = 1651 zThAr.0003.ec.fits: ap = 106, w1 = 3627.02, w2 = 3550.675, dw = -0.04627, nw = 1651 zThAr.0003.ec.fits: ap = 107, w1 = 3604.206, w2 = 3528.349, dw = -0.04597, nw = 1651 zThAr.0003.ec.fits: ap = 108, w1 = 3581.677, w2 = 3506.303, dw = -0.04568, nw = 1651 zThAr.0003.ec.fits: ap = 109, w1 = 3559.427, w2 = 3484.53, dw = -0.04539, nw = 1651 zThAr.0003.ec.fits: ap = 110, w1 = 3537.451, w2 = 3463.025, dw = -0.04511, nw = 1651 zThAr.0003.ec.fits: ap = 111, w1 = 3515.745, w2 = 3441.785, dw = -0.04482, nw = 1651 zThAr.0003.ec.fits: ap = 112, w1 = 3494.302, w2 = 3420.803, dw = -0.04454, nw = 1651 zThAr.0003.ec.fits: ap = 113, w1 = 3473.119, w2 = 3400.075, dw = -0.04427, nw = 1651 zThAr.0003.ec.fits: ap = 114, w1 = 3452.19, w2 = 3379.597, dw = -0.044, nw = 1651 zThAr.0003.ec.fits: ap = 115, w1 = 3431.511, w2 = 3359.364, dw = -0.04373, nw = 1651 ThAr.0026.ec.fits: REFSPEC1 = 'ThAr.0026.ec 1.' zThAr.0026.ec.fits: ap = 1, w1 = 10811.15, w2 = 10582.97, dw = -0.13829, nw = 1651 zThAr.0026.ec.fits: ap = 2, w1 = 10610.96, w2 = 10387., dw = -0.13573, nw = 1651 zThAr.0026.ec.fits: ap = 3, w1 = 10418.06, w2 = 10198.17, dw = -0.13327, nw = 1651 zThAr.0026.ec.fits: ap = 4, w1 = 10232.04, w2 = 10016.07, dw = -0.13089, nw = 1651 zThAr.0026.ec.fits: ap = 5, w1 = 10052.55, w2 = 9840.37, dw = -0.12859, nw = 1651 zThAr.0026.ec.fits: ap = 6, w1 = 9879.243, w2 = 9670.724, dw = -0.12637, nw = 1651 zThAr.0026.ec.fits: ap = 7, w1 = 9711.814, w2 = 9506.83, dw = -0.12423, nw = 1651 zThAr.0026.ec.fits: ap = 8, w1 = 9549.966, w2 = 9348.399, dw = -0.12216, nw = 1651 zThAr.0026.ec.fits: ap = 9, w1 = 9393.425, w2 = 9195.162, dw = -0.12016, nw = 1651 zThAr.0026.ec.fits: ap = 10, w1 = 9241.932, w2 = 9046.868, dw = -0.11822, nw = 1651 zThAr.0026.ec.fits: ap = 11, w1 = 9095.249, w2 = 8903.281, dw = -0.11634, nw = 1651 zThAr.0026.ec.fits: ap = 12, w1 = 8953.15, w2 = 8764.182, dw = -0.11453, nw = 1651 zThAr.0026.ec.fits: ap = 13, w1 = 8815.422, w2 = 8629.363, dw = -0.11276, nw = 1651 zThAr.0026.ec.fits: ap = 14, w1 = 8681.868, w2 = 8498.629, dw = -0.11105, nw = 1651 zThAr.0026.ec.fits: ap = 15, w1 = 8552.3, w2 = 8371.797, dw = -0.1094, nw = 1651 zThAr.0026.ec.fits: ap = 16, w1 = 8426.543, w2 = 8248.696, dw = -0.10779, nw = 1651 zThAr.0026.ec.fits: ap = 17, w1 = 8304.431, w2 = 8129.162, dw = -0.10622, nw = 1651 zThAr.0026.ec.fits: ap = 18, w1 = 8185.808, w2 = 8013.044, dw = -0.10471, nw = 1651 zThAr.0026.ec.fits: ap = 19, w1 = 8070.526, w2 = 7900.197, dw = -0.10323, nw = 1651 zThAr.0026.ec.fits: ap = 20, w1 = 7958.446, w2 = 7790.485, dw = -0.10179, nw = 1651 zThAr.0026.ec.fits: ap = 21, w1 = 7849.437, w2 = 7683.778, dw = -0.1004, nw = 1651 zThAr.0026.ec.fits: ap = 22, w1 = 7743.374, w2 = 7579.955, dw = -0.09904, nw = 1651 zThAr.0026.ec.fits: ap = 23, w1 = 7640.139, w2 = 7478.901, dw = -0.09772, nw = 1651 zThAr.0026.ec.fits: ap = 24, w1 = 7539.621, w2 = 7380.507, dw = -0.09643, nw = 1651 zThAr.0026.ec.fits: ap = 25, w1 = 7441.713, w2 = 7284.667, dw = -0.09518, nw = 1651 zThAr.0026.ec.fits: ap = 26, w1 = 7346.316, w2 = 7191.286, dw = -0.09396, nw = 1651 zThAr.0026.ec.fits: ap = 27, w1 = 7253.334, w2 = 7100.268, dw = -0.09277, nw = 1651 zThAr.0026.ec.fits: ap = 28, w1 = 7162.676, w2 = 7011.526, dw = -0.09161, nw = 1651 zThAr.0026.ec.fits: ap = 29, w1 = 7074.257, w2 = 6924.975, dw = -0.09047, nw = 1651 zThAr.0026.ec.fits: ap = 30, w1 = 6987.994, w2 = 6840.535, dw = -0.08937, nw = 1651 zThAr.0026.ec.fits: ap = 31, w1 = 6903.81, w2 = 6758.13, dw = -0.08829, nw = 1651 zThAr.0026.ec.fits: ap = 32, w1 = 6821.631, w2 = 6677.686, dw = -0.08724, nw = 1651 zThAr.0026.ec.fits: ap = 33, w1 = 6741.385, w2 = 6599.136, dw = -0.08621, nw = 1651 zThAr.0026.ec.fits: ap = 34, w1 = 6663.005, w2 = 6522.412, dw = -0.08521, nw = 1651 zThAr.0026.ec.fits: ap = 35, w1 = 6586.427, w2 = 6447.453, dw = -0.08423, nw = 1651 zThAr.0026.ec.fits: ap = 36, w1 = 6511.589, w2 = 6374.196, dw = -0.08327, nw = 1651 zThAr.0026.ec.fits: ap = 37, w1 = 6438.433, w2 = 6302.586, dw = -0.08233, nw = 1651 zThAr.0026.ec.fits: ap = 38, w1 = 6366.903, w2 = 6232.568, dw = -0.08142, nw = 1651 zThAr.0026.ec.fits: ap = 39, w1 = 6296.945, w2 = 6164.088, dw = -0.08052, nw = 1651 zThAr.0026.ec.fits: ap = 40, w1 = 6228.508, w2 = 6097.097, dw = -0.07964, nw = 1651 zThAr.0026.ec.fits: ap = 41, w1 = 6161.542, w2 = 6031.547, dw = -0.07878, nw = 1651 zThAr.0026.ec.fits: ap = 42, w1 = 6096.002, w2 = 5967.392, dw = -0.07795, nw = 1651 zThAr.0026.ec.fits: ap = 43, w1 = 6031.841, w2 = 5904.587, dw = -0.07712, nw = 1651 zThAr.0026.ec.fits: ap = 44, w1 = 5969.017, w2 = 5843.091, dw = -0.07632, nw = 1651 zThAr.0026.ec.fits: ap = 45, w1 = 5907.489, w2 = 5782.862, dw = -0.07553, nw = 1651 zThAr.0026.ec.fits: ap = 46, w1 = 5847.216, w2 = 5723.863, dw = -0.07476, nw = 1651 zThAr.0026.ec.fits: ap = 47, w1 = 5788.161, w2 = 5666.056, dw = -0.074, nw = 1651 zThAr.0026.ec.fits: ap = 48, w1 = 5730.287, w2 = 5609.405, dw = -0.07326, nw = 1651 zThAr.0026.ec.fits: ap = 49, w1 = 5673.559, w2 = 5553.876, dw = -0.07253, nw = 1651 zThAr.0026.ec.fits: ap = 50, w1 = 5617.944, w2 = 5499.436, dw = -0.07182, nw = 1651 zThAr.0026.ec.fits: ap = 51, w1 = 5563.408, w2 = 5446.053, dw = -0.07112, nw = 1651 zThAr.0026.ec.fits: ap = 52, w1 = 5509.922, w2 = 5393.697, dw = -0.07044, nw = 1651 zThAr.0026.ec.fits: ap = 53, w1 = 5457.454, w2 = 5342.338, dw = -0.06977, nw = 1651 zThAr.0026.ec.fits: ap = 54, w1 = 5405.976, w2 = 5291.948, dw = -0.06911, nw = 1651 zThAr.0026.ec.fits: ap = 55, w1 = 5355.461, w2 = 5242.501, dw = -0.06846, nw = 1651 zThAr.0026.ec.fits: ap = 56, w1 = 5305.882, w2 = 5193.969, dw = -0.06783, nw = 1651 zThAr.0026.ec.fits: ap = 57, w1 = 5257.212, w2 = 5146.327, dw = -0.0672, nw = 1651 zThAr.0026.ec.fits: ap = 58, w1 = 5209.427, w2 = 5099.552, dw = -0.06659, nw = 1651 zThAr.0026.ec.fits: ap = 59, w1 = 5162.503, w2 = 5053.62, dw = -0.06599, nw = 1651 zThAr.0026.ec.fits: ap = 60, w1 = 5116.418, w2 = 5008.508, dw = -0.0654, nw = 1651 zThAr.0026.ec.fits: ap = 61, w1 = 5071.148, w2 = 4964.194, dw = -0.06482, nw = 1651 zThAr.0026.ec.fits: ap = 62, w1 = 5026.672, w2 = 4920.658, dw = -0.06425, nw = 1651 zThAr.0026.ec.fits: ap = 63, w1 = 4982.97, w2 = 4877.88, dw = -0.06369, nw = 1651 zThAr.0026.ec.fits: ap = 64, w1 = 4940.022, w2 = 4835.839, dw = -0.06314, nw = 1651 zThAr.0026.ec.fits: ap = 65, w1 = 4897.808, w2 = 4794.516, dw = -0.0626, nw = 1651 zThAr.0026.ec.fits: ap = 66, w1 = 4856.31, w2 = 4753.895, dw = -0.06207, nw = 1651 zThAr.0026.ec.fits: ap = 67, w1 = 4815.509, w2 = 4713.956, dw = -0.06155, nw = 1651 zThAr.0026.ec.fits: ap = 68, w1 = 4775.389, w2 = 4674.683, dw = -0.06103, nw = 1651 zThAr.0026.ec.fits: ap = 69, w1 = 4735.931, w2 = 4636.059, dw = -0.06053, nw = 1651 zThAr.0026.ec.fits: ap = 70, w1 = 4697.121, w2 = 4598.068, dw = -0.06003, nw = 1651 zThAr.0026.ec.fits: ap = 71, w1 = 4658.942, w2 = 4560.695, dw = -0.05954, nw = 1651 zThAr.0026.ec.fits: ap = 72, w1 = 4621.379, w2 = 4523.925, dw = -0.05906, nw = 1651 zThAr.0026.ec.fits: ap = 73, w1 = 4584.417, w2 = 4487.744, dw = -0.05859, nw = 1651 zThAr.0026.ec.fits: ap = 74, w1 = 4548.042, w2 = 4452.137, dw = -0.05812, nw = 1651 zThAr.0026.ec.fits: ap = 75, w1 = 4512.24, w2 = 4417.091, dw = -0.05767, nw = 1651 zThAr.0026.ec.fits: ap = 76, w1 = 4476.998, w2 = 4382.592, dw = -0.05722, nw = 1651 zThAr.0026.ec.fits: ap = 77, w1 = 4442.302, w2 = 4348.629, dw = -0.05677, nw = 1651 zThAr.0026.ec.fits: ap = 78, w1 = 4408.14, w2 = 4315.188, dw = -0.05633, nw = 1651 zThAr.0026.ec.fits: ap = 79, w1 = 4374.5, w2 = 4282.258, dw = -0.0559, nw = 1651 zThAr.0026.ec.fits: ap = 80, w1 = 4341.37, w2 = 4249.827, dw = -0.05548, nw = 1651 zThAr.0026.ec.fits: ap = 81, w1 = 4308.738, w2 = 4217.884, dw = -0.05506, nw = 1651 zThAr.0026.ec.fits: ap = 82, w1 = 4276.594, w2 = 4186.418, dw = -0.05465, nw = 1651 zThAr.0026.ec.fits: ap = 83, w1 = 4244.925, w2 = 4155.418, dw = -0.05425, nw = 1651 zThAr.0026.ec.fits: ap = 84, w1 = 4213.723, w2 = 4124.874, dw = -0.05385, nw = 1651 zThAr.0026.ec.fits: ap = 85, w1 = 4182.976, w2 = 4094.776, dw = -0.05346, nw = 1651 zThAr.0026.ec.fits: ap = 86, w1 = 4152.676, w2 = 4065.114, dw = -0.05307, nw = 1651 zThAr.0026.ec.fits: ap = 87, w1 = 4122.811, w2 = 4035.879, dw = -0.05269, nw = 1651 zThAr.0026.ec.fits: ap = 88, w1 = 4093.373, w2 = 4007.062, dw = -0.05231, nw = 1651 zThAr.0026.ec.fits: ap = 89, w1 = 4064.353, w2 = 3978.654, dw = -0.05194, nw = 1651 zThAr.0026.ec.fits: ap = 90, w1 = 4035.742, w2 = 3950.646, dw = -0.05157, nw = 1651 zThAr.0026.ec.fits: ap = 91, w1 = 4007.531, w2 = 3923.031, dw = -0.05121, nw = 1651 zThAr.0026.ec.fits: ap = 92, w1 = 3979.713, w2 = 3895.798, dw = -0.05086, nw = 1651 zThAr.0026.ec.fits: ap = 93, w1 = 3952.278, w2 = 3868.942, dw = -0.05051, nw = 1651 zThAr.0026.ec.fits: ap = 94, w1 = 3925.219, w2 = 3842.453, dw = -0.05016, nw = 1651 zThAr.0026.ec.fits: ap = 95, w1 = 3898.529, w2 = 3816.326, dw = -0.04982, nw = 1651 zThAr.0026.ec.fits: ap = 96, w1 = 3872.199, w2 = 3790.551, dw = -0.04948, nw = 1651 zThAr.0026.ec.fits: ap = 97, w1 = 3846.223, w2 = 3765.122, dw = -0.04915, nw = 1651 zThAr.0026.ec.fits: ap = 98, w1 = 3820.594, w2 = 3740.033, dw = -0.04882, nw = 1651 zThAr.0026.ec.fits: ap = 99, w1 = 3795.304, w2 = 3715.276, dw = -0.0485, nw = 1651 zThAr.0026.ec.fits: ap = 100, w1 = 3770.348, w2 = 3690.845, dw = -0.04818, nw = 1651 zThAr.0026.ec.fits: ap = 101, w1 = 3745.717, w2 = 3666.734, dw = -0.04787, nw = 1651 zThAr.0026.ec.fits: ap = 102, w1 = 3721.407, w2 = 3642.936, dw = -0.04756, nw = 1651 zThAr.0026.ec.fits: ap = 103, w1 = 3697.411, w2 = 3619.445, dw = -0.04725, nw = 1651 zThAr.0026.ec.fits: ap = 104, w1 = 3673.723, w2 = 3596.255, dw = -0.04695, nw = 1651 zThAr.0026.ec.fits: ap = 105, w1 = 3650.336, w2 = 3573.361, dw = -0.04665, nw = 1651 zThAr.0026.ec.fits: ap = 106, w1 = 3627.246, w2 = 3550.757, dw = -0.04636, nw = 1651 zThAr.0026.ec.fits: ap = 107, w1 = 3604.446, w2 = 3528.437, dw = -0.04607, nw = 1651 zThAr.0026.ec.fits: ap = 108, w1 = 3581.932, w2 = 3506.397, dw = -0.04578, nw = 1651 zThAr.0026.ec.fits: ap = 109, w1 = 3559.698, w2 = 3484.63, dw = -0.0455, nw = 1651 zThAr.0026.ec.fits: ap = 110, w1 = 3537.738, w2 = 3463.133, dw = -0.04522, nw = 1651 zThAr.0026.ec.fits: ap = 111, w1 = 3516.048, w2 = 3441.899, dw = -0.04494, nw = 1651 zThAr.0026.ec.fits: ap = 112, w1 = 3494.623, w2 = 3420.925, dw = -0.04467, nw = 1651 zThAr.0026.ec.fits: ap = 113, w1 = 3473.457, w2 = 3400.205, dw = -0.0444, nw = 1651 zThAr.0026.ec.fits: ap = 114, w1 = 3452.547, w2 = 3379.734, dw = -0.04413, nw = 1651 zThAr.0026.ec.fits: ap = 115, w1 = 3431.888, w2 = 3359.509, dw = -0.04387, 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 Combining spectra... May 18 0:05: 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 = 57.54957 w1 = 3359.483, w2 = 10811.14, dw = 0.04384104, nw = 169971., dtype = 0 May 18 0:05: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight Venus_day.0022.ec.fits[ 1] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 2] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 3] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 4] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 5] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 6] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 7] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 8] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 9] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 10] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 11] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 12] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 13] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 14] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 15] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 16] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 17] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 18] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 19] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 20] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 21] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 22] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 23] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 24] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 25] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 26] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 27] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 28] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 29] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 30] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 31] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 32] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 33] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 34] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 35] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 36] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 37] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 38] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 39] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 40] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 41] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 42] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 43] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 44] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 45] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 46] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 47] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 48] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 49] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 50] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 51] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 52] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 53] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 54] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 55] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 56] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 57] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 58] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 59] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 60] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 61] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 62] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 63] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 64] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 65] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 66] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 67] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 68] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 69] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 70] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 71] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 72] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 73] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 74] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 75] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 76] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 77] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 78] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 79] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 80] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 81] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 82] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 83] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 84] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 85] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 86] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 87] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 88] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 89] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 90] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 91] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 92] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 93] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 94] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 95] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 96] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 97] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 98] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[ 99] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[100] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[101] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[102] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[103] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[104] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[105] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[106] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[107] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[108] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[109] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[110] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[111] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[112] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[113] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[114] 1.0 1.000 0. 0.009 Venus_day.0022.ec.fits[115] 1.0 1.000 0. 0.009 Output image = sumVenus_day.0022.ec.fits, ncombine = 115, exptime = 115.2875 w1 = 3359.486, w2 = 10811.14, dw = 0.04384309, nw = 169963., dtype = 0 May 18 0:06: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight Venus_day.0023.ec.fits[ 1] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 2] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 3] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 4] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 5] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 6] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 7] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 8] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 9] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 10] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 11] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 12] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 13] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 14] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 15] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 16] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 17] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 18] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 19] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 20] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 21] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 22] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 23] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 24] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 25] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 26] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 27] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 28] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 29] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 30] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 31] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 32] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 33] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 34] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 35] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 36] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 37] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 38] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 39] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 40] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 41] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 42] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 43] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 44] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 45] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 46] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 47] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 48] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 49] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 50] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 51] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 52] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 53] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 54] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 55] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 56] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 57] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 58] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 59] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 60] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 61] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 62] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 63] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 64] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 65] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 66] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 67] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 68] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 69] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 70] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 71] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 72] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 73] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 74] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 75] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 76] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 77] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 78] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 79] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 80] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 81] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 82] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 83] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 84] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 85] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 86] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 87] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 88] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 89] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 90] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 91] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 92] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 93] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 94] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 95] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 96] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 97] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 98] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[ 99] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[100] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[101] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[102] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[103] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[104] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[105] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[106] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[107] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[108] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[109] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[110] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[111] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[112] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[113] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[114] 0.5 1.000 0. 0.009 Venus_day.0023.ec.fits[115] 0.5 1.000 0. 0.009 Output image = sumVenus_day.0023.ec.fits, ncombine = 115, exptime = 57.55788 w1 = 3359.488, w2 = 10811.15, dw = 0.0438454, nw = 169954., dtype = 0 May 18 0:06: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight Venus_night.0015.ec.fits[ 1] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 2] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 3] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 4] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 5] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 6] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 7] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 8] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 9] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 10] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 11] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 12] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 13] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 14] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 15] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 16] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 17] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 18] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 19] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 20] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 21] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 22] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 23] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 24] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 25] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 26] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 27] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 28] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 29] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 30] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 31] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 32] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 33] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 34] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 35] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 36] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 37] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 38] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 39] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 40] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 41] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 42] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 43] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 44] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 45] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 46] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 47] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 48] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 49] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 50] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 51] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 52] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 53] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 54] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 55] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 56] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 57] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 58] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 59] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 60] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 61] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 62] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 63] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 64] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 65] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 66] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 67] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 68] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 69] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 70] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 71] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 72] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 73] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 74] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 75] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 76] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 77] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 78] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 79] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 80] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 81] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 82] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 83] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 84] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 85] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 86] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 87] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 88] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 89] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 90] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 91] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 92] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 93] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 94] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 95] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 96] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 97] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 98] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[ 99] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[100] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[101] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[102] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[103] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[104] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[105] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[106] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[107] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[108] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[109] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[110] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[111] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[112] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[113] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[114] 600.0 1.000 0. 0.009 Venus_night.0015.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumVenus_night.0015.ec.fits, ncombine = 115, exptime = 69000.09 w1 = 3359.42, w2 = 10811.13, dw = 0.04377976, nw = 170210., dtype = 0 May 18 0:07: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight Venus_night.0016.ec.fits[ 1] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 2] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 3] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 4] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 5] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 6] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 7] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 8] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 9] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 10] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 11] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 12] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 13] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 14] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 15] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 16] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 17] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 18] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 19] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 20] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 21] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 22] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 23] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 24] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 25] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 26] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 27] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 28] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 29] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 30] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 31] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 32] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 33] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 34] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 35] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 36] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 37] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 38] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 39] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 40] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 41] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 42] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 43] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 44] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 45] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 46] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 47] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 48] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 49] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 50] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 51] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 52] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 53] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 54] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 55] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 56] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 57] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 58] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 59] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 60] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 61] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 62] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 63] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 64] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 65] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 66] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 67] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 68] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 69] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 70] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 71] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 72] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 73] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 74] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 75] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 76] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 77] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 78] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 79] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 80] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 81] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 82] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 83] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 84] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 85] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 86] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 87] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 88] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 89] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 90] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 91] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 92] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 93] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 94] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 95] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 96] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 97] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 98] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[ 99] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[100] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[101] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[102] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[103] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[104] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[105] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[106] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[107] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[108] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[109] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[110] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[111] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[112] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[113] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[114] 600.0 1.000 0. 0.009 Venus_night.0016.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumVenus_night.0016.ec.fits, ncombine = 115, exptime = 69000.01 w1 = 3359.431, w2 = 10811.13, dw = 0.04379077, nw = 170167., dtype = 0 May 18 0:07: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight Venus_night.0017.ec.fits[ 1] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 2] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 3] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 4] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 5] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 6] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 7] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 8] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 9] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 10] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 11] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 12] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 13] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 14] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 15] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 16] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 17] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 18] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 19] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 20] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 21] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 22] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 23] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 24] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 25] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 26] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 27] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 28] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 29] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 30] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 31] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 32] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 33] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 34] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 35] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 36] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 37] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 38] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 39] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 40] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 41] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 42] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 43] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 44] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 45] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 46] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 47] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 48] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 49] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 50] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 51] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 52] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 53] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 54] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 55] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 56] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 57] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 58] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 59] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 60] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 61] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 62] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 63] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 64] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 65] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 66] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 67] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 68] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 69] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 70] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 71] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 72] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 73] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 74] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 75] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 76] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 77] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 78] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 79] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 80] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 81] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 82] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 83] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 84] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 85] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 86] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 87] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 88] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 89] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 90] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 91] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 92] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 93] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 94] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 95] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 96] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 97] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 98] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[ 99] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[100] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[101] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[102] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[103] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[104] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[105] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[106] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[107] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[108] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[109] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[110] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[111] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[112] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[113] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[114] 600.0 1.000 0. 0.009 Venus_night.0017.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumVenus_night.0017.ec.fits, ncombine = 115, exptime = 69000.01 w1 = 3359.442, w2 = 10811.13, dw = 0.04380153, nw = 170125., dtype = 0 May 18 0:08: 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 = 68999.99 w1 = 3359.454, w2 = 10811.14, dw = 0.04381256, nw = 170082., dtype = 0 May 18 0:08: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight Venus_night.0019.ec.fits[ 1] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 2] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 3] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 4] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 5] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 6] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 7] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 8] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 9] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 10] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 11] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 12] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 13] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 14] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 15] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 16] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 17] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 18] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 19] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 20] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 21] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 22] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 23] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 24] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 25] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 26] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 27] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 28] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 29] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 30] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 31] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 32] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 33] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 34] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 35] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 36] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 37] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 38] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 39] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 40] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 41] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 42] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 43] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 44] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 45] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 46] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 47] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 48] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 49] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 50] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 51] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 52] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 53] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 54] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 55] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 56] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 57] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 58] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 59] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 60] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 61] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 62] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 63] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 64] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 65] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 66] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 67] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 68] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 69] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 70] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 71] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 72] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 73] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 74] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 75] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 76] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 77] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 78] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 79] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 80] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 81] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 82] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 83] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 84] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 85] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 86] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 87] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 88] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 89] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 90] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 91] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 92] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 93] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 94] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 95] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 96] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 97] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 98] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[ 99] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[100] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[101] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[102] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[103] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[104] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[105] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[106] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[107] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[108] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[109] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[110] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[111] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[112] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[113] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[114] 600.0 1.000 0. 0.009 Venus_night.0019.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumVenus_night.0019.ec.fits, ncombine = 115, exptime = 69000.02 w1 = 3359.465, w2 = 10811.14, dw = 0.04382333, nw = 170040., dtype = 0 May 18 0:09: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight Venus_night.0020.ec.fits[ 1] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 2] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 3] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 4] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 5] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 6] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 7] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 8] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 9] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 10] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 11] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 12] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 13] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 14] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 15] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 16] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 17] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 18] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 19] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 20] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 21] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 22] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 23] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 24] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 25] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 26] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 27] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 28] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 29] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 30] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 31] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 32] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 33] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 34] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 35] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 36] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 37] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 38] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 39] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 40] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 41] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 42] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 43] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 44] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 45] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 46] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 47] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 48] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 49] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 50] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 51] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 52] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 53] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 54] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 55] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 56] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 57] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 58] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 59] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 60] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 61] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 62] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 63] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 64] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 65] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 66] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 67] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 68] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 69] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 70] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 71] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 72] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 73] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 74] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 75] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 76] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 77] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 78] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 79] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 80] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 81] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 82] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 83] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 84] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 85] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 86] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 87] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 88] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 89] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 90] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 91] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 92] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 93] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 94] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 95] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 96] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 97] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 98] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[ 99] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[100] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[101] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[102] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[103] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[104] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[105] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[106] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[107] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[108] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[109] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[110] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[111] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[112] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[113] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[114] 600.0 1.000 0. 0.009 Venus_night.0020.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumVenus_night.0020.ec.fits, ncombine = 115, exptime = 69000.01 w1 = 3359.476, w2 = 10811.14, dw = 0.0438341, nw = 169998., dtype = 0 May 18 0:09: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight sky.0024.ec.fits[ 1] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 2] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 3] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 4] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 5] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 6] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 7] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 8] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 9] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 10] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 11] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 12] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 13] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 14] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 15] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 16] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 17] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 18] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 19] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 20] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 21] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 22] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 23] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 24] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 25] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 26] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 27] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 28] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 29] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 30] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 31] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 32] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 33] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 34] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 35] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 36] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 37] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 38] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 39] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 40] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 41] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 42] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 43] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 44] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 45] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 46] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 47] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 48] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 49] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 50] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 51] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 52] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 53] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 54] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 55] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 56] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 57] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 58] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 59] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 60] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 61] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 62] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 63] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 64] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 65] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 66] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 67] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 68] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 69] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 70] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 71] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 72] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 73] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 74] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 75] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 76] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 77] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 78] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 79] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 80] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 81] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 82] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 83] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 84] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 85] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 86] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 87] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 88] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 89] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 90] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 91] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 92] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 93] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 94] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 95] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 96] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 97] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 98] 600.0 1.000 0. 0.009 sky.0024.ec.fits[ 99] 600.0 1.000 0. 0.009 sky.0024.ec.fits[100] 600.0 1.000 0. 0.009 sky.0024.ec.fits[101] 600.0 1.000 0. 0.009 sky.0024.ec.fits[102] 600.0 1.000 0. 0.009 sky.0024.ec.fits[103] 600.0 1.000 0. 0.009 sky.0024.ec.fits[104] 600.0 1.000 0. 0.009 sky.0024.ec.fits[105] 600.0 1.000 0. 0.009 sky.0024.ec.fits[106] 600.0 1.000 0. 0.009 sky.0024.ec.fits[107] 600.0 1.000 0. 0.009 sky.0024.ec.fits[108] 600.0 1.000 0. 0.009 sky.0024.ec.fits[109] 600.0 1.000 0. 0.009 sky.0024.ec.fits[110] 600.0 1.000 0. 0.009 sky.0024.ec.fits[111] 600.0 1.000 0. 0.009 sky.0024.ec.fits[112] 600.0 1.000 0. 0.009 sky.0024.ec.fits[113] 600.0 1.000 0. 0.009 sky.0024.ec.fits[114] 600.0 1.000 0. 0.009 sky.0024.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumsky.0024.ec.fits, ncombine = 115, exptime = 69000.01 w1 = 3359.495, w2 = 10811.15, dw = 0.04385259, nw = 169926., dtype = 0 May 18 0:10: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight sky.0025.ec.fits[ 1] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 2] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 3] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 4] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 5] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 6] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 7] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 8] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 9] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 10] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 11] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 12] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 13] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 14] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 15] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 16] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 17] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 18] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 19] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 20] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 21] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 22] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 23] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 24] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 25] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 26] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 27] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 28] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 29] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 30] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 31] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 32] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 33] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 34] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 35] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 36] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 37] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 38] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 39] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 40] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 41] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 42] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 43] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 44] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 45] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 46] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 47] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 48] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 49] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 50] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 51] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 52] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 53] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 54] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 55] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 56] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 57] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 58] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 59] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 60] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 61] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 62] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 63] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 64] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 65] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 66] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 67] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 68] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 69] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 70] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 71] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 72] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 73] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 74] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 75] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 76] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 77] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 78] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 79] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 80] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 81] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 82] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 83] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 84] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 85] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 86] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 87] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 88] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 89] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 90] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 91] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 92] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 93] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 94] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 95] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 96] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 97] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 98] 200.0 1.000 0. 0.009 sky.0025.ec.fits[ 99] 200.0 1.000 0. 0.009 sky.0025.ec.fits[100] 200.0 1.000 0. 0.009 sky.0025.ec.fits[101] 200.0 1.000 0. 0.009 sky.0025.ec.fits[102] 200.0 1.000 0. 0.009 sky.0025.ec.fits[103] 200.0 1.000 0. 0.009 sky.0025.ec.fits[104] 200.0 1.000 0. 0.009 sky.0025.ec.fits[105] 200.0 1.000 0. 0.009 sky.0025.ec.fits[106] 200.0 1.000 0. 0.009 sky.0025.ec.fits[107] 200.0 1.000 0. 0.009 sky.0025.ec.fits[108] 200.0 1.000 0. 0.009 sky.0025.ec.fits[109] 200.0 1.000 0. 0.009 sky.0025.ec.fits[110] 200.0 1.000 0. 0.009 sky.0025.ec.fits[111] 200.0 1.000 0. 0.009 sky.0025.ec.fits[112] 200.0 1.000 0. 0.009 sky.0025.ec.fits[113] 200.0 1.000 0. 0.009 sky.0025.ec.fits[114] 200.0 1.000 0. 0.009 sky.0025.ec.fits[115] 200.0 1.000 0. 0.009 Output image = sumsky.0025.ec.fits, ncombine = 115, exptime = 23000. w1 = 3359.504, w2 = 10811.15, dw = 0.04386055, nw = 169895., dtype = 0 May 18 0:11: 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 = 57.54957 w1 = 3359.483, w2 = 10811.14, dw = 0.04384104, nw = 169971., dtype = 0 May 18 0:11: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontVenus_day.0022.ec.fits[ 1] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 2] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 3] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 4] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 5] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 6] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 7] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 8] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 9] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 10] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 11] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 12] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 13] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 14] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 15] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 16] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 17] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 18] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 19] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 20] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 21] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 22] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 23] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 24] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 25] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 26] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 27] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 28] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 29] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 30] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 31] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 32] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 33] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 34] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 35] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 36] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 37] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 38] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 39] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 40] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 41] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 42] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 43] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 44] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 45] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 46] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 47] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 48] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 49] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 50] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 51] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 52] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 53] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 54] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 55] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 56] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 57] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 58] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 59] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 60] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 61] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 62] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 63] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 64] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 65] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 66] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 67] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 68] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 69] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 70] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 71] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 72] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 73] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 74] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 75] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 76] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 77] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 78] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 79] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 80] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 81] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 82] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 83] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 84] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 85] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 86] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 87] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 88] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 89] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 90] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 91] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 92] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 93] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 94] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 95] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 96] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 97] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 98] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[ 99] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[100] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[101] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[102] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[103] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[104] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[105] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[106] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[107] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[108] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[109] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[110] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[111] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[112] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[113] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[114] 1.0 1.000 0. 0.009 fitcontVenus_day.0022.ec.fits[115] 1.0 1.000 0. 0.009 Output image = sumfitcontVenus_day.0022.ec.fits, ncombine = 115, exptime = 115.2875 w1 = 3359.486, w2 = 10811.14, dw = 0.04384309, nw = 169963., dtype = 0 May 18 0:12: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontVenus_day.0023.ec.fits[ 1] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 2] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 3] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 4] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 5] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 6] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 7] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 8] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 9] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 10] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 11] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 12] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 13] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 14] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 15] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 16] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 17] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 18] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 19] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 20] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 21] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 22] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 23] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 24] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 25] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 26] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 27] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 28] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 29] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 30] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 31] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 32] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 33] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 34] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 35] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 36] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 37] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 38] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 39] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 40] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 41] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 42] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 43] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 44] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 45] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 46] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 47] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 48] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 49] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 50] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 51] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 52] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 53] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 54] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 55] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 56] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 57] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 58] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 59] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 60] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 61] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 62] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 63] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 64] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 65] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 66] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 67] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 68] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 69] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 70] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 71] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 72] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 73] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 74] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 75] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 76] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 77] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 78] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 79] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 80] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 81] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 82] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 83] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 84] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 85] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 86] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 87] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 88] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 89] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 90] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 91] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 92] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 93] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 94] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 95] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 96] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 97] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 98] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[ 99] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[100] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[101] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[102] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[103] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[104] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[105] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[106] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[107] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[108] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[109] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[110] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[111] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[112] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[113] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[114] 0.5 1.000 0. 0.009 fitcontVenus_day.0023.ec.fits[115] 0.5 1.000 0. 0.009 Output image = sumfitcontVenus_day.0023.ec.fits, ncombine = 115, exptime = 57.55788 w1 = 3359.488, w2 = 10811.15, dw = 0.0438454, nw = 169954., dtype = 0 May 18 0:12: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontVenus_night.0015.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[100] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[101] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[102] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[103] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[104] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[105] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[106] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[107] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[108] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[109] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[110] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[111] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[112] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[113] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[114] 600.0 1.000 0. 0.009 fitcontVenus_night.0015.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumfitcontVenus_night.0015.ec.fits, ncombine = 115, exptime = 69000.09 w1 = 3359.42, w2 = 10811.13, dw = 0.04377976, nw = 170210., dtype = 0 May 18 0:13: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontVenus_night.0016.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[100] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[101] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[102] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[103] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[104] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[105] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[106] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[107] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[108] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[109] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[110] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[111] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[112] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[113] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[114] 600.0 1.000 0. 0.009 fitcontVenus_night.0016.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumfitcontVenus_night.0016.ec.fits, ncombine = 115, exptime = 69000.01 w1 = 3359.431, w2 = 10811.13, dw = 0.04379077, nw = 170167., dtype = 0 May 18 0:13: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontVenus_night.0017.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[100] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[101] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[102] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[103] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[104] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[105] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[106] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[107] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[108] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[109] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[110] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[111] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[112] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[113] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[114] 600.0 1.000 0. 0.009 fitcontVenus_night.0017.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumfitcontVenus_night.0017.ec.fits, ncombine = 115, exptime = 69000.01 w1 = 3359.442, w2 = 10811.13, dw = 0.04380153, nw = 170125., dtype = 0 May 18 0:14: 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 = 68999.99 w1 = 3359.454, w2 = 10811.14, dw = 0.04381256, nw = 170082., dtype = 0 May 18 0:14: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontVenus_night.0019.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[100] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[101] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[102] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[103] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[104] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[105] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[106] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[107] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[108] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[109] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[110] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[111] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[112] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[113] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[114] 600.0 1.000 0. 0.009 fitcontVenus_night.0019.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumfitcontVenus_night.0019.ec.fits, ncombine = 115, exptime = 69000.02 w1 = 3359.465, w2 = 10811.14, dw = 0.04382333, nw = 170040., dtype = 0 May 18 0:15: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontVenus_night.0020.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[100] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[101] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[102] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[103] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[104] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[105] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[106] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[107] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[108] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[109] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[110] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[111] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[112] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[113] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[114] 600.0 1.000 0. 0.009 fitcontVenus_night.0020.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumfitcontVenus_night.0020.ec.fits, ncombine = 115, exptime = 69000.01 w1 = 3359.476, w2 = 10811.14, dw = 0.0438341, nw = 169998., dtype = 0 May 18 0:15: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontsky.0024.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[100] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[101] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[102] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[103] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[104] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[105] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[106] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[107] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[108] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[109] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[110] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[111] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[112] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[113] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[114] 600.0 1.000 0. 0.009 fitcontsky.0024.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumfitcontsky.0024.ec.fits, ncombine = 115, exptime = 69000.01 w1 = 3359.495, w2 = 10811.15, dw = 0.04385259, nw = 169926., dtype = 0 May 18 0:16: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcontsky.0025.ec.fits[ 1] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 2] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 3] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 4] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 5] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 6] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 7] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 8] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 9] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 10] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 11] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 12] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 13] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 14] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 15] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 16] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 17] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 18] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 19] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 20] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 21] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 22] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 23] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 24] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 25] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 26] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 27] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 28] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 29] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 30] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 31] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 32] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 33] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 34] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 35] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 36] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 37] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 38] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 39] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 40] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 41] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 42] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 43] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 44] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 45] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 46] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 47] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 48] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 49] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 50] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 51] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 52] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 53] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 54] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 55] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 56] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 57] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 58] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 59] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 60] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 61] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 62] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 63] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 64] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 65] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 66] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 67] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 68] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 69] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 70] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 71] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 72] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 73] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 74] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 75] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 76] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 77] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 78] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 79] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 80] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 81] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 82] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 83] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 84] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 85] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 86] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 87] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 88] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 89] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 90] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 91] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 92] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 93] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 94] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 95] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 96] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 97] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 98] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[ 99] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[100] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[101] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[102] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[103] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[104] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[105] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[106] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[107] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[108] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[109] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[110] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[111] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[112] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[113] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[114] 200.0 1.000 0. 0.009 fitcontsky.0025.ec.fits[115] 200.0 1.000 0. 0.009 Output image = sumfitcontsky.0025.ec.fits, ncombine = 115, exptime = 23000. w1 = 3359.504, w2 = 10811.15, dw = 0.04386055, nw = 169895., dtype = 0 fullspecVenus_day.0021.ec.fits,EXPTIME: 57.54957 -> 0.500431043478 fullspecVenus_day.0021.ec.fits updated fullspecVenus_day.0022.ec.fits,EXPTIME: 115.2875 -> 1.0025 fullspecVenus_day.0022.ec.fits updated fullspecVenus_day.0023.ec.fits,EXPTIME: 57.55788 -> 0.500503304348 fullspecVenus_day.0023.ec.fits updated fullspecVenus_night.0015.ec.fits,EXPTIME: 69000.09 -> 600.000782609 fullspecVenus_night.0015.ec.fits updated fullspecVenus_night.0016.ec.fits,EXPTIME: 69000.01 -> 600.000086957 fullspecVenus_night.0016.ec.fits updated fullspecVenus_night.0017.ec.fits,EXPTIME: 69000.01 -> 600.000086957 fullspecVenus_night.0017.ec.fits updated fullspecVenus_night.0018.ec.fits,EXPTIME: 68999.99 -> 599.999913043 fullspecVenus_night.0018.ec.fits updated fullspecVenus_night.0019.ec.fits,EXPTIME: 69000.02 -> 600.000173913 fullspecVenus_night.0019.ec.fits updated fullspecVenus_night.0020.ec.fits,EXPTIME: 69000.01 -> 600.000086957 fullspecVenus_night.0020.ec.fits updated fullspecsky.0024.ec.fits,EXPTIME: 69000.01 -> 600.000086957 fullspecsky.0024.ec.fits updated fullspecsky.0025.ec.fits,EXPTIME: 23000. -> 200.0 fullspecsky.0025.ec.fits updated ALL DONE! Yay! (=^.^=)