Copying data files and other necessary files Changing to reduced data directory Generating file lists... Setting dispaxis... add 150506.0022.fits,dispaxis = 1 150506.0022.fits updated add 150506.0023.fits,dispaxis = 1 150506.0023.fits updated add 150506.0025.fits,dispaxis = 1 150506.0025.fits updated add 150506.0026.fits,dispaxis = 1 150506.0026.fits updated add 150506.0027.fits,dispaxis = 1 150506.0027.fits updated add 150506.0029.fits,dispaxis = 1 150506.0029.fits updated add 150506.0030.fits,dispaxis = 1 150506.0030.fits updated add 150506.0031.fits,dispaxis = 1 150506.0031.fits updated add 150506.0032.fits,dispaxis = 1 150506.0032.fits updated add 150506.0033.fits,dispaxis = 1 150506.0033.fits updated add 150506.0034.fits,dispaxis = 1 150506.0034.fits updated add EchelleBias.0001.fits,dispaxis = 1 EchelleBias.0001.fits updated add EchelleBias.0002.fits,dispaxis = 1 EchelleBias.0002.fits updated add EchelleBias.0003.fits,dispaxis = 1 EchelleBias.0003.fits updated add EchelleBias.0004.fits,dispaxis = 1 EchelleBias.0004.fits updated add EchelleBias.0005.fits,dispaxis = 1 EchelleBias.0005.fits updated add EchelleBias.0006.fits,dispaxis = 1 EchelleBias.0006.fits updated add EchelleBias.0007.fits,dispaxis = 1 EchelleBias.0007.fits updated add EchelleBias.0008.fits,dispaxis = 1 EchelleBias.0008.fits updated add EchelleBias.0009.fits,dispaxis = 1 EchelleBias.0009.fits updated add EchelleBias.0010.fits,dispaxis = 1 EchelleBias.0010.fits updated add EchelleFlat.0011.fits,dispaxis = 1 EchelleFlat.0011.fits updated add EchelleFlat.0012.fits,dispaxis = 1 EchelleFlat.0012.fits updated add EchelleFlat.0013.fits,dispaxis = 1 EchelleFlat.0013.fits updated add EchelleFlatBlue.0014.fits,dispaxis = 1 EchelleFlatBlue.0014.fits updated add EchelleFlatBlue.0015.fits,dispaxis = 1 EchelleFlatBlue.0015.fits updated add EchelleFlatBlue.0016.fits,dispaxis = 1 EchelleFlatBlue.0016.fits updated add EchelleThAr.0017.fits,dispaxis = 1 EchelleThAr.0017.fits updated add EchelleThAr.0018.fits,dispaxis = 1 EchelleThAr.0018.fits updated add EchelleThAr.0019.fits,dispaxis = 1 EchelleThAr.0019.fits updated add EchelleThAr.0020.fits,dispaxis = 1 EchelleThAr.0020.fits updated add EchelleThAr.0021.fits,dispaxis = 1 EchelleThAr.0021.fits updated add EchelleThAr.0024.fits,dispaxis = 1 EchelleThAr.0024.fits updated add EchelleThAr.0028.fits,dispaxis = 1 EchelleThAr.0028.fits updated add EchelleThAr.0035.fits,dispaxis = 1 EchelleThAr.0035.fits updated FIXPIX: image EchelleFlat.0011.fits with mask echmask.pl FIXPIX: image EchelleFlat.0012.fits with mask echmask.pl FIXPIX: image EchelleFlat.0013.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0014.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0015.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0016.fits with mask echmask.pl FIXPIX: image 150506.0022.fits with mask echmask.pl FIXPIX: image 150506.0023.fits with mask echmask.pl FIXPIX: image 150506.0025.fits with mask echmask.pl FIXPIX: image 150506.0026.fits with mask echmask.pl FIXPIX: image 150506.0027.fits with mask echmask.pl FIXPIX: image 150506.0029.fits with mask echmask.pl FIXPIX: image 150506.0030.fits with mask echmask.pl FIXPIX: image 150506.0031.fits with mask echmask.pl FIXPIX: image 150506.0032.fits with mask echmask.pl FIXPIX: image 150506.0033.fits with mask echmask.pl FIXPIX: image 150506.0034.fits with mask echmask.pl FIXPIX: image EchelleThAr.0017.fits with mask echmask.pl FIXPIX: image EchelleThAr.0018.fits with mask echmask.pl FIXPIX: image EchelleThAr.0019.fits with mask echmask.pl FIXPIX: image EchelleThAr.0020.fits with mask echmask.pl FIXPIX: image EchelleThAr.0021.fits with mask echmask.pl FIXPIX: image EchelleThAr.0024.fits with mask echmask.pl FIXPIX: image EchelleThAr.0028.fits with mask echmask.pl FIXPIX: image EchelleThAr.0035.fits with mask echmask.pl Jun 3 2:12: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Exp EchelleBias.0001.fits 0.0 EchelleBias.0002.fits 0.9 EchelleBias.0003.fits 0.0 EchelleBias.0004.fits 0.9 EchelleBias.0005.fits 0.0 EchelleBias.0006.fits 0.9 EchelleBias.0007.fits 0.0 EchelleBias.0008.fits 0.9 EchelleBias.0009.fits 0.0 EchelleBias.0010.fits 0.9 Output image = bias_fid, ncombine = 10 Calibrating object images and flats (bias, and trimming)... 150506.0022.fits: Jun 3 2:12 Trim data section is [200:1850,1:2048] bias_fid: Jun 3 2:12 Trim data section is [200:1850,1:2048] 150506.0022.fits: Jun 3 2:12 Zero level correction image is bias_fid 150506.0023.fits: Jun 3 2:12 Trim data section is [200:1850,1:2048] 150506.0023.fits: Jun 3 2:12 Zero level correction image is bias_fid 150506.0025.fits: Jun 3 2:12 Trim data section is [200:1850,1:2048] 150506.0025.fits: Jun 3 2:12 Zero level correction image is bias_fid 150506.0026.fits: Jun 3 2:12 Trim data section is [200:1850,1:2048] 150506.0026.fits: Jun 3 2:12 Zero level correction image is bias_fid 150506.0027.fits: Jun 3 2:12 Trim data section is [200:1850,1:2048] 150506.0027.fits: Jun 3 2:12 Zero level correction image is bias_fid 150506.0029.fits: Jun 3 2:12 Trim data section is [200:1850,1:2048] 150506.0029.fits: Jun 3 2:12 Zero level correction image is bias_fid 150506.0030.fits: Jun 3 2:12 Trim data section is [200:1850,1:2048] 150506.0030.fits: Jun 3 2:12 Zero level correction image is bias_fid 150506.0031.fits: Jun 3 2:12 Trim data section is [200:1850,1:2048] 150506.0031.fits: Jun 3 2:12 Zero level correction image is bias_fid 150506.0032.fits: Jun 3 2:12 Trim data section is [200:1850,1:2048] 150506.0032.fits: Jun 3 2:12 Zero level correction image is bias_fid 150506.0033.fits: Jun 3 2:12 Trim data section is [200:1850,1:2048] 150506.0033.fits: Jun 3 2:12 Zero level correction image is bias_fid 150506.0034.fits: Jun 3 2:12 Trim data section is [200:1850,1:2048] 150506.0034.fits: Jun 3 2:12 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlat.0011.fits: Jun 3 2:12 Trim data section is [200:1850,1:2048] EchelleFlat.0011.fits: Jun 3 2:12 Zero level correction image is bias_fid EchelleFlat.0012.fits: Jun 3 2:12 Trim data section is [200:1850,1:2048] EchelleFlat.0012.fits: Jun 3 2:12 Zero level correction image is bias_fid EchelleFlat.0013.fits: Jun 3 2:12 Trim data section is [200:1850,1:2048] EchelleFlat.0013.fits: Jun 3 2:12 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlatBlue.0014.fits: Jun 3 2:12 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0014.fits: Jun 3 2:12 Zero level correction image is bias_fid EchelleFlatBlue.0015.fits: Jun 3 2:12 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0015.fits: Jun 3 2:12 Zero level correction image is bias_fid EchelleFlatBlue.0016.fits: Jun 3 2:12 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0016.fits: Jun 3 2:12 Zero level correction image is bias_fid Calibrating ThAr arcs... EchelleThAr.0017.fits: Jun 3 2:12 Trim data section is [200:1850,1:2048] EchelleThAr.0017.fits: Jun 3 2:12 Zero level correction image is bias_fid EchelleThAr.0018.fits: Jun 3 2:12 Trim data section is [200:1850,1:2048] EchelleThAr.0018.fits: Jun 3 2:12 Zero level correction image is bias_fid EchelleThAr.0019.fits: Jun 3 2:12 Trim data section is [200:1850,1:2048] EchelleThAr.0019.fits: Jun 3 2:12 Zero level correction image is bias_fid EchelleThAr.0020.fits: Jun 3 2:12 Trim data section is [200:1850,1:2048] EchelleThAr.0020.fits: Jun 3 2:12 Zero level correction image is bias_fid EchelleThAr.0021.fits: Jun 3 2:12 Trim data section is [200:1850,1:2048] EchelleThAr.0021.fits: Jun 3 2:12 Zero level correction image is bias_fid EchelleThAr.0024.fits: Jun 3 2:12 Trim data section is [200:1850,1:2048] EchelleThAr.0024.fits: Jun 3 2:12 Zero level correction image is bias_fid EchelleThAr.0028.fits: Jun 3 2:12 Trim data section is [200:1850,1:2048] EchelleThAr.0028.fits: Jun 3 2:12 Zero level correction image is bias_fid EchelleThAr.0035.fits: Jun 3 2:12 Trim data section is [200:1850,1:2048] EchelleThAr.0035.fits: Jun 3 2:12 Zero level correction image is bias_fid Combining red and blue flats into separate fiducial flats... Jun 3 2:12: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp EchelleFlatBlue.0014.fits 200.0 EchelleFlatBlue.0015.fits 200.0 EchelleFlatBlue.0016.fits 200.0 Output image = flat_blue_mean.fits, ncombine = 3 Jun 3 2:12: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp EchelleFlat.0011.fits 7.0 EchelleFlat.0012.fits 7.0 EchelleFlat.0013.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... Jun 3 2:13: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1592. Jun 3 2:13: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1593. Jun 3 2:13: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1615. Jun 3 2:13: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1616. Jun 3 2:13: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1606. Jun 3 2:13: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1607. Jun 3 2:13: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1623. Jun 3 2:13: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1624. Jun 3 2:13: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1638. Jun 3 2:13: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1639. Jun 3 2:13: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1647. Jun 3 2:13: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1648. Jun 3 2:13: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 151. Jun 3 2:13: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 150. Jun 3 2:13: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 122. Jun 3 2:13: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 121. Jun 3 2:13: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 120. Jun 3 2:13: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 112. Jun 3 2:13: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 111. Jun 3 2:13: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 96. Jun 3 2:13: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 95. Jun 3 2:13: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1585. Jun 3 2:13: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1586. Jun 3 2:13: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1587. Jun 3 2:13: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1588. Jun 3 2:13: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1589. Jun 3 2:13: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1614. Jun 3 2:13: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1615. Jun 3 2:13: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1625. Jun 3 2:13: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1626. Jun 3 2:13: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1627. Jun 3 2:13: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1647. Jun 3 2:13: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1648. Jun 3 2:13: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 158. Jun 3 2:13: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 157. Jun 3 2:13: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1546. Jun 3 2:13: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1547. Jun 3 2:13: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1567. Jun 3 2:13: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1568. Jun 3 2:13: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1569. Jun 3 2:13: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1581. Jun 3 2:13: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1582. Jun 3 2:13: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1583. Jun 3 2:13: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1588. Jun 3 2:13: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1589. Jun 3 2:13: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1591. Jun 3 2:13: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1592. Jun 3 2:13: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1598. Jun 3 2:13: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1599. Jun 3 2:13: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1600. Jun 3 2:13: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 148. Jun 3 2:13: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 147. Jun 3 2:13: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1544. Jun 3 2:13: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1545. Jun 3 2:13: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1555. Jun 3 2:13: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1556. Jun 3 2:13: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1580. Jun 3 2:13: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1581. Jun 3 2:13: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1582. Jun 3 2:13: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 151. Jun 3 2:13: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 150. Jun 3 2:13: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 129. Jun 3 2:13: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 128. Jun 3 2:13: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 127. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1511. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1512. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1542. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1543. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1608. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1609. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1610. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1611. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1612. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1613. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1614. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1615. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1620. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1621. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1624. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1625. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1626. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1627. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1630. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1631. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1632. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 158. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 157. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 156. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 155. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 154. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 151. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 150. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 147. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 146. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 133. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 132. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 131. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 120. Jun 3 2:13: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 119. Jun 3 2:13: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1485. Jun 3 2:13: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1486. Jun 3 2:13: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1490. Jun 3 2:13: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1491. Jun 3 2:13: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1497. Jun 3 2:13: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1498. Jun 3 2:13: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1499. Jun 3 2:13: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1500. Jun 3 2:13: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1532. Jun 3 2:13: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1533. Jun 3 2:13: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1541. Jun 3 2:13: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1542. Jun 3 2:13: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1547. Jun 3 2:13: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1548. Jun 3 2:13: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1549. Jun 3 2:13: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 193. Jun 3 2:13: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 192. Jun 3 2:13: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 140. Jun 3 2:13: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 139. Jun 3 2:13: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 24. Jun 3 2:13: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 23. Jun 3 2:13: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 12. Jun 3 2:13: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 11. Jun 3 2:13: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 10. Jun 3 2:13: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1407. Jun 3 2:13: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1408. Jun 3 2:13: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1497. Jun 3 2:13: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1498. Jun 3 2:13: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1562. Jun 3 2:13: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1563. Jun 3 2:13: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1564. Jun 3 2:13: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 290. Jun 3 2:13: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 289. Jun 3 2:13: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 266. Jun 3 2:13: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 265. Jun 3 2:13: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 264. Jun 3 2:13: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 237. Jun 3 2:13: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 236. Jun 3 2:13: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 235. Jun 3 2:13: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 228. Jun 3 2:13: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 227. Jun 3 2:13: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 212. Jun 3 2:13: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 211. Jun 3 2:13: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 210. Jun 3 2:13: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 184. Jun 3 2:13: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 183. Jun 3 2:13: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 168. Jun 3 2:13: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 167. Jun 3 2:13: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 134. Jun 3 2:13: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 133. Jun 3 2:13: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 125. Jun 3 2:13: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 124. Jun 3 2:13: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 123. Jun 3 2:13: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1471. Jun 3 2:13: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1472. Jun 3 2:13: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1473. Jun 3 2:13: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 327. Jun 3 2:13: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 326. Jun 3 2:13: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 325. Jun 3 2:13: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1363. Jun 3 2:13: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1364. Jun 3 2:13: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1365. Jun 3 2:13: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 233. Jun 3 2:13: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 232. Jun 3 2:13: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 215. Jun 3 2:13: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 214. Jun 3 2:13: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 145. Jun 3 2:13: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 144. Jun 3 2:13: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 137. Jun 3 2:13: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 136. Jun 3 2:13: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 135. Jun 3 2:13: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1377. Jun 3 2:13: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1378. Jun 3 2:13: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1396. Jun 3 2:13: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1397. Jun 3 2:13: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1432. Jun 3 2:13: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1433. Jun 3 2:13: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1434. Jun 3 2:13: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 327. Jun 3 2:13: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 326. Jun 3 2:13: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 324. Jun 3 2:13: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 323. Jun 3 2:13: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 267. Jun 3 2:13: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 266. Jun 3 2:13: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 265. Jun 3 2:13: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 236. Jun 3 2:13: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 235. Jun 3 2:13: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 220. Jun 3 2:13: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 219. Jun 3 2:13: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 218. Jun 3 2:13: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 217. Jun 3 2:13: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 216. Jun 3 2:13: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 210. Jun 3 2:13: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 209. Jun 3 2:13: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 203. Jun 3 2:13: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 202. Jun 3 2:13: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 201. Jun 3 2:13: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 199. Jun 3 2:13: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 198. Jun 3 2:13: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 197. Jun 3 2:13: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1211. Jun 3 2:13: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1212. Jun 3 2:13: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1217. Jun 3 2:13: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1218. Jun 3 2:13: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1323. Jun 3 2:13: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1324. Jun 3 2:13: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1326. Jun 3 2:13: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1327. Jun 3 2:13: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1339. Jun 3 2:13: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1340. Jun 3 2:13: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1360. Jun 3 2:13: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1361. Jun 3 2:13: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1362. Jun 3 2:13: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 363. Jun 3 2:13: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 362. Jun 3 2:13: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 352. Jun 3 2:13: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 351. Jun 3 2:13: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 345. Jun 3 2:13: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 344. Jun 3 2:13: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 343. Jun 3 2:13: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 266. Jun 3 2:13: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 265. Jun 3 2:13: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 214. Jun 3 2:13: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 213. Jun 3 2:13: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 212. Jun 3 2:13: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 189. Jun 3 2:13: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 188. Jun 3 2:13: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 187. Jun 3 2:13: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1067. Jun 3 2:13: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1068. Jun 3 2:13: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1183. Jun 3 2:13: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1184. Jun 3 2:13: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1189. Jun 3 2:13: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1190. Jun 3 2:13: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1192. Jun 3 2:13: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1193. Jun 3 2:13: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1220. Jun 3 2:13: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1221. Jun 3 2:13: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1222. Jun 3 2:13: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1260. Jun 3 2:13: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1261. Jun 3 2:13: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1268. Jun 3 2:13: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1269. Jun 3 2:13: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1281. Jun 3 2:13: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1282. Jun 3 2:13: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1295. Jun 3 2:13: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1296. Jun 3 2:13: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1297. Jun 3 2:13: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 426. Jun 3 2:13: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 425. Jun 3 2:13: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 405. Jun 3 2:13: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 404. Jun 3 2:13: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 381. Jun 3 2:13: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 380. Jun 3 2:13: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 379. Jun 3 2:13: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 301. Jun 3 2:13: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 300. Jun 3 2:13: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 299. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1122. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1123. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1124. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 729. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 728. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 663. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 662. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 603. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 602. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 461. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 460. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 459. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 443. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 442. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 428. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 427. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 417. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 416. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 415. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 361. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 360. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 358. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 357. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 326. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 325. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 314. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 313. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 279. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 278. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 235. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 234. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 233. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 227. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 226. Jun 3 2:13: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 225. Normalizing the superflat... flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits IMARITH: Operation = + Operand1 = nonorm_flat_fid_mag.ec.fits Operand2 = 10.25 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... EchelleThAr.0017.fits Magnify image EchelleThAr.0017.fits to image EchelleThAr.0017.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 EchelleThAr.0017.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0017.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0018.fits Magnify image EchelleThAr.0018.fits to image EchelleThAr.0018.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 EchelleThAr.0018.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0018.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0019.fits Magnify image EchelleThAr.0019.fits to image EchelleThAr.0019.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 EchelleThAr.0019.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0019.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0020.fits Magnify image EchelleThAr.0020.fits to image EchelleThAr.0020.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 EchelleThAr.0020.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0020.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0021.fits Magnify image EchelleThAr.0021.fits to image EchelleThAr.0021.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 EchelleThAr.0021.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0021.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0024.fits Magnify image EchelleThAr.0024.fits to image EchelleThAr.0024.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0024.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0024.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0028.fits Magnify image EchelleThAr.0028.fits to image EchelleThAr.0028.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 EchelleThAr.0028.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0028.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0035.fits Magnify image EchelleThAr.0035.fits to image EchelleThAr.0035.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 EchelleThAr.0035.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0035.fits updated Applying model apertures to the arc and extracting spectra... Resampling the object by a factor of 4 in the y direction... 150506.0022 Magnify image 150506.0022 to image 150506.0022. 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 150506.0022,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150506.0022 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150506.0022 -> noscat150506.0022 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 150506.0023 Magnify image 150506.0023 to image 150506.0023. 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 150506.0023,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150506.0023 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150506.0023 -> noscat150506.0023 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Jun 3 2:14: EXTRACT: WARNING - Aperture 100: Jun 3 2:14: Total variance weighted spectrum flux is 7821.756 Jun 3 2:14: Total unweighted spectrum flux is 3831.194 Jun 3 2:14: EXTRACT: Aperture 100 variance spectrum bias factor is 0.4898126 Jun 3 2:14: EXTRACT: WARNING - Aperture 103: Jun 3 2:14: Total variance weighted spectrum flux is 17152.28 Jun 3 2:14: Total unweighted spectrum flux is 8133.065 Jun 3 2:14: EXTRACT: Aperture 103 variance spectrum bias factor is 0.4741682 Jun 3 2:14: EXTRACT: WARNING - Aperture 104: Jun 3 2:14: Total variance weighted spectrum flux is 10542.52 Jun 3 2:14: Total unweighted spectrum flux is 2912.006 Jun 3 2:14: EXTRACT: Aperture 104 variance spectrum bias factor is 0.2762153 Jun 3 2:14: EXTRACT: WARNING - Aperture 105: Jun 3 2:14: Total variance weighted spectrum flux is 6730.11 Jun 3 2:14: Total unweighted spectrum flux is 2651.981 Jun 3 2:14: EXTRACT: Aperture 105 variance spectrum bias factor is 0.3940472 Jun 3 2:14: EXTRACT: WARNING - Aperture 106: Jun 3 2:14: Total variance weighted spectrum flux is 7117.702 Jun 3 2:14: Total unweighted spectrum flux is 3448.905 Jun 3 2:14: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4845532 Jun 3 2:14: EXTRACT: WARNING - Aperture 107: Jun 3 2:14: Total variance weighted spectrum flux is 5861.719 Jun 3 2:14: Total unweighted spectrum flux is 1558.882 Jun 3 2:14: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2659428 Jun 3 2:14: EXTRACT: WARNING - Aperture 109: Jun 3 2:14: Total variance weighted spectrum flux is 5846.978 Jun 3 2:14: Total unweighted spectrum flux is 1810.274 Jun 3 2:14: EXTRACT: Aperture 109 variance spectrum bias factor is 0.3096085 Jun 3 2:14: EXTRACT: WARNING - Aperture 110: Jun 3 2:14: Total variance weighted spectrum flux is 9732.563 Jun 3 2:14: Total unweighted spectrum flux is 2702.788 Jun 3 2:14: EXTRACT: Aperture 110 variance spectrum bias factor is 0.2777056 Jun 3 2:14: EXTRACT: WARNING - Aperture 111: Jun 3 2:14: Total variance weighted spectrum flux is 8756.433 Jun 3 2:14: Total unweighted spectrum flux is 1377.611 Jun 3 2:14: EXTRACT: Aperture 111 variance spectrum bias factor is 0.1573256 Jun 3 2:14: EXTRACT: WARNING - Aperture 112: Jun 3 2:14: Total variance weighted spectrum flux is 6196.186 Jun 3 2:14: Total unweighted spectrum flux is -241.0419 Jun 3 2:14: Variance spectrum bias factor ignored Jun 3 2:14: EXTRACT: WARNING - Aperture 113: Jun 3 2:14: Total variance weighted spectrum flux is 3957.568 Jun 3 2:14: Total unweighted spectrum flux is 1079.214 Jun 3 2:14: EXTRACT: Aperture 113 variance spectrum bias factor is 0.2726963 Jun 3 2:14: EXTRACT: WARNING - Aperture 114: Jun 3 2:14: Total variance weighted spectrum flux is 8497.622 Jun 3 2:14: Total unweighted spectrum flux is 2810.77 Jun 3 2:14: EXTRACT: Aperture 114 variance spectrum bias factor is 0.3307714 Jun 3 2:14: EXTRACT: WARNING - Aperture 115: Jun 3 2:14: Total variance weighted spectrum flux is 3050.274 Jun 3 2:14: Total unweighted spectrum flux is -398.7466 Jun 3 2:14: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 150506.0025 Magnify image 150506.0025 to image 150506.0025. 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 150506.0025,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150506.0025 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150506.0025 -> noscat150506.0025 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Jun 3 2:15: EXTRACT: WARNING - Aperture 100: Jun 3 2:15: Total variance weighted spectrum flux is 13534.11 Jun 3 2:15: Total unweighted spectrum flux is 6673.578 Jun 3 2:15: EXTRACT: Aperture 100 variance spectrum bias factor is 0.4930933 Jun 3 2:15: EXTRACT: WARNING - Aperture 106: Jun 3 2:15: Total variance weighted spectrum flux is 7123.182 Jun 3 2:15: Total unweighted spectrum flux is 613.9871 Jun 3 2:15: EXTRACT: Aperture 106 variance spectrum bias factor is 0.08619563 Jun 3 2:15: EXTRACT: WARNING - Aperture 107: Jun 3 2:15: Total variance weighted spectrum flux is 10627.19 Jun 3 2:15: Total unweighted spectrum flux is 444.6112 Jun 3 2:15: EXTRACT: Aperture 107 variance spectrum bias factor is 0.04183712 Jun 3 2:15: EXTRACT: WARNING - Aperture 108: Jun 3 2:15: Total variance weighted spectrum flux is 10713.82 Jun 3 2:15: Total unweighted spectrum flux is 4162.448 Jun 3 2:15: EXTRACT: Aperture 108 variance spectrum bias factor is 0.3885121 Jun 3 2:15: EXTRACT: WARNING - Aperture 109: Jun 3 2:15: Total variance weighted spectrum flux is 4441.37 Jun 3 2:15: Total unweighted spectrum flux is 1901.351 Jun 3 2:15: EXTRACT: Aperture 109 variance spectrum bias factor is 0.4281001 Jun 3 2:15: EXTRACT: WARNING - Aperture 110: Jun 3 2:15: Total variance weighted spectrum flux is 6304.036 Jun 3 2:15: Total unweighted spectrum flux is 1310.036 Jun 3 2:15: EXTRACT: Aperture 110 variance spectrum bias factor is 0.2078092 Jun 3 2:15: EXTRACT: WARNING - Aperture 111: Jun 3 2:15: Total variance weighted spectrum flux is 8276.374 Jun 3 2:15: Total unweighted spectrum flux is 1864.247 Jun 3 2:15: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2252493 Jun 3 2:15: EXTRACT: WARNING - Aperture 112: Jun 3 2:15: Total variance weighted spectrum flux is 4012.563 Jun 3 2:15: Total unweighted spectrum flux is -247.7275 Jun 3 2:15: Variance spectrum bias factor ignored Jun 3 2:15: EXTRACT: WARNING - Aperture 114: Jun 3 2:15: Total variance weighted spectrum flux is 5653.482 Jun 3 2:15: Total unweighted spectrum flux is 1605.263 Jun 3 2:15: EXTRACT: Aperture 114 variance spectrum bias factor is 0.2839424 Jun 3 2:15: EXTRACT: WARNING - Aperture 115: Jun 3 2:15: Total variance weighted spectrum flux is 3369.705 Jun 3 2:15: Total unweighted spectrum flux is 296.5614 Jun 3 2:15: EXTRACT: Aperture 115 variance spectrum bias factor is 0.08800811 Resampling the object by a factor of 4 in the y direction... 150506.0026 Magnify image 150506.0026 to image 150506.0026. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 150506.0026,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150506.0026 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150506.0026 -> noscat150506.0026 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 150506.0027 Magnify image 150506.0027 to image 150506.0027. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 150506.0027,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150506.0027 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150506.0027 -> noscat150506.0027 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Jun 3 2:16: EXTRACT: WARNING - Aperture 106: Jun 3 2:16: Total variance weighted spectrum flux is 10271.31 Jun 3 2:16: Total unweighted spectrum flux is 3185.166 Jun 3 2:16: EXTRACT: Aperture 106 variance spectrum bias factor is 0.3101031 Jun 3 2:16: EXTRACT: WARNING - Aperture 107: Jun 3 2:16: Total variance weighted spectrum flux is 10267.1 Jun 3 2:16: Total unweighted spectrum flux is 2720.385 Jun 3 2:16: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2649614 Jun 3 2:16: EXTRACT: WARNING - Aperture 108: Jun 3 2:16: Total variance weighted spectrum flux is 5229.222 Jun 3 2:16: Total unweighted spectrum flux is 1482.221 Jun 3 2:16: EXTRACT: Aperture 108 variance spectrum bias factor is 0.2834497 Jun 3 2:16: EXTRACT: WARNING - Aperture 109: Jun 3 2:16: Total variance weighted spectrum flux is 6316.123 Jun 3 2:16: Total unweighted spectrum flux is 2201.272 Jun 3 2:16: EXTRACT: Aperture 109 variance spectrum bias factor is 0.3485164 Jun 3 2:16: EXTRACT: WARNING - Aperture 110: Jun 3 2:16: Total variance weighted spectrum flux is 4096.744 Jun 3 2:16: Total unweighted spectrum flux is -256.1691 Jun 3 2:16: Variance spectrum bias factor ignored Jun 3 2:16: EXTRACT: WARNING - Aperture 111: Jun 3 2:16: Total variance weighted spectrum flux is 10242.64 Jun 3 2:16: Total unweighted spectrum flux is 3414.875 Jun 3 2:16: EXTRACT: Aperture 111 variance spectrum bias factor is 0.3333978 Jun 3 2:16: EXTRACT: WARNING - Aperture 112: Jun 3 2:16: Total variance weighted spectrum flux is 2483.043 Jun 3 2:16: Total unweighted spectrum flux is 134.3941 Jun 3 2:16: EXTRACT: Aperture 112 variance spectrum bias factor is 0.05412475 Jun 3 2:16: EXTRACT: WARNING - Aperture 113: Jun 3 2:16: Total variance weighted spectrum flux is 3065.875 Jun 3 2:16: Total unweighted spectrum flux is 1137.447 Jun 3 2:16: EXTRACT: Aperture 113 variance spectrum bias factor is 0.3710026 Jun 3 2:16: EXTRACT: WARNING - Aperture 114: Jun 3 2:16: Total variance weighted spectrum flux is 6272.799 Jun 3 2:16: Total unweighted spectrum flux is -818.6243 Jun 3 2:16: Variance spectrum bias factor ignored Jun 3 2:16: EXTRACT: WARNING - Aperture 115: Jun 3 2:16: Total variance weighted spectrum flux is 2885.774 Jun 3 2:16: Total unweighted spectrum flux is -1745.187 Jun 3 2:16: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 150506.0029 Magnify image 150506.0029 to image 150506.0029. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 150506.0029,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150506.0029 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150506.0029 -> noscat150506.0029 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Jun 3 2:17: EXTRACT: WARNING - Aperture 106: Jun 3 2:17: Total variance weighted spectrum flux is 13599.97 Jun 3 2:17: Total unweighted spectrum flux is 6072.537 Jun 3 2:17: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4465109 Jun 3 2:17: EXTRACT: WARNING - Aperture 107: Jun 3 2:17: Total variance weighted spectrum flux is 9253.731 Jun 3 2:17: Total unweighted spectrum flux is 3757.895 Jun 3 2:17: EXTRACT: Aperture 107 variance spectrum bias factor is 0.4060951 Jun 3 2:17: EXTRACT: WARNING - Aperture 108: Jun 3 2:17: Total variance weighted spectrum flux is 9258.088 Jun 3 2:17: Total unweighted spectrum flux is 3900.58 Jun 3 2:17: EXTRACT: Aperture 108 variance spectrum bias factor is 0.4213159 Jun 3 2:17: EXTRACT: WARNING - Aperture 111: Jun 3 2:17: Total variance weighted spectrum flux is 5536.823 Jun 3 2:17: Total unweighted spectrum flux is 1170.079 Jun 3 2:17: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2113268 Jun 3 2:17: EXTRACT: WARNING - Aperture 112: Jun 3 2:17: Total variance weighted spectrum flux is 6410.081 Jun 3 2:17: Total unweighted spectrum flux is 945.4804 Jun 3 2:17: EXTRACT: Aperture 112 variance spectrum bias factor is 0.147499 Jun 3 2:17: EXTRACT: WARNING - Aperture 113: Jun 3 2:17: Total variance weighted spectrum flux is 2307.57 Jun 3 2:17: Total unweighted spectrum flux is 608.3899 Jun 3 2:17: EXTRACT: Aperture 113 variance spectrum bias factor is 0.2636496 Jun 3 2:17: EXTRACT: WARNING - Aperture 114: Jun 3 2:17: Total variance weighted spectrum flux is 6024.585 Jun 3 2:17: Total unweighted spectrum flux is 2346.386 Jun 3 2:17: EXTRACT: Aperture 114 variance spectrum bias factor is 0.3894685 Jun 3 2:17: EXTRACT: WARNING - Aperture 115: Jun 3 2:17: Total variance weighted spectrum flux is 3417.069 Jun 3 2:17: Total unweighted spectrum flux is 1698.584 Jun 3 2:17: EXTRACT: Aperture 115 variance spectrum bias factor is 0.4970881 Resampling the object by a factor of 4 in the y direction... 150506.0030 Magnify image 150506.0030 to image 150506.0030. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 150506.0030,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150506.0030 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150506.0030 -> noscat150506.0030 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 150506.0031 Magnify image 150506.0031 to image 150506.0031. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 150506.0031,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150506.0031 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150506.0031 -> noscat150506.0031 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Jun 3 2:18: EXTRACT: WARNING - Aperture 1: Jun 3 2:18: Total variance weighted spectrum flux is 9136.077 Jun 3 2:18: Total unweighted spectrum flux is 4523.407 Jun 3 2:18: EXTRACT: Aperture 1 variance spectrum bias factor is 0.4951148 Jun 3 2:19: EXTRACT: WARNING - Aperture 97: Jun 3 2:19: Total variance weighted spectrum flux is 6547.22 Jun 3 2:19: Total unweighted spectrum flux is 2270.944 Jun 3 2:19: EXTRACT: Aperture 97 variance spectrum bias factor is 0.3468562 Jun 3 2:19: EXTRACT: WARNING - Aperture 104: Jun 3 2:19: Total variance weighted spectrum flux is 12114.19 Jun 3 2:19: Total unweighted spectrum flux is 5766.424 Jun 3 2:19: EXTRACT: Aperture 104 variance spectrum bias factor is 0.4760057 Jun 3 2:19: EXTRACT: WARNING - Aperture 105: Jun 3 2:19: Total variance weighted spectrum flux is 6701.585 Jun 3 2:19: Total unweighted spectrum flux is 2946.681 Jun 3 2:19: EXTRACT: Aperture 105 variance spectrum bias factor is 0.4396991 Jun 3 2:19: EXTRACT: WARNING - Aperture 106: Jun 3 2:19: Total variance weighted spectrum flux is 5832.682 Jun 3 2:19: Total unweighted spectrum flux is 1788.053 Jun 3 2:19: EXTRACT: Aperture 106 variance spectrum bias factor is 0.3065576 Jun 3 2:19: EXTRACT: WARNING - Aperture 107: Jun 3 2:19: Total variance weighted spectrum flux is 9085.839 Jun 3 2:19: Total unweighted spectrum flux is 3849.7 Jun 3 2:19: EXTRACT: Aperture 107 variance spectrum bias factor is 0.4237034 Jun 3 2:19: EXTRACT: WARNING - Aperture 108: Jun 3 2:19: Total variance weighted spectrum flux is 12152. Jun 3 2:19: Total unweighted spectrum flux is 3721.104 Jun 3 2:19: EXTRACT: Aperture 108 variance spectrum bias factor is 0.3062133 Jun 3 2:19: EXTRACT: WARNING - Aperture 109: Jun 3 2:19: Total variance weighted spectrum flux is 4612.67 Jun 3 2:19: Total unweighted spectrum flux is 286.5577 Jun 3 2:19: EXTRACT: Aperture 109 variance spectrum bias factor is 0.06212404 Jun 3 2:19: EXTRACT: WARNING - Aperture 110: Jun 3 2:19: Total variance weighted spectrum flux is 5035.369 Jun 3 2:19: Total unweighted spectrum flux is 780.7917 Jun 3 2:19: EXTRACT: Aperture 110 variance spectrum bias factor is 0.1550615 Jun 3 2:19: EXTRACT: WARNING - Aperture 111: Jun 3 2:19: Total variance weighted spectrum flux is 4244.658 Jun 3 2:19: Total unweighted spectrum flux is 70.22393 Jun 3 2:19: EXTRACT: Aperture 111 variance spectrum bias factor is 0.01654407 Jun 3 2:19: EXTRACT: WARNING - Aperture 112: Jun 3 2:19: Total variance weighted spectrum flux is 8188.785 Jun 3 2:19: Total unweighted spectrum flux is 1876.641 Jun 3 2:19: EXTRACT: Aperture 112 variance spectrum bias factor is 0.229172 Jun 3 2:19: EXTRACT: WARNING - Aperture 113: Jun 3 2:19: Total variance weighted spectrum flux is 4260.724 Jun 3 2:19: Total unweighted spectrum flux is -71.07393 Jun 3 2:19: Variance spectrum bias factor ignored Jun 3 2:19: EXTRACT: WARNING - Aperture 114: Jun 3 2:19: Total variance weighted spectrum flux is 5004.355 Jun 3 2:19: Total unweighted spectrum flux is 1579.711 Jun 3 2:19: EXTRACT: Aperture 114 variance spectrum bias factor is 0.3156673 Jun 3 2:19: EXTRACT: WARNING - Aperture 115: Jun 3 2:19: Total variance weighted spectrum flux is 1744.679 Jun 3 2:19: Total unweighted spectrum flux is -328.3909 Jun 3 2:19: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 150506.0032 Magnify image 150506.0032 to image 150506.0032. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 150506.0032,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150506.0032 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150506.0032 -> noscat150506.0032 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Jun 3 2:20: EXTRACT: WARNING - Aperture 105: Jun 3 2:20: Total variance weighted spectrum flux is 13566.49 Jun 3 2:20: Total unweighted spectrum flux is 5324.534 Jun 3 2:20: EXTRACT: Aperture 105 variance spectrum bias factor is 0.3924768 Jun 3 2:20: EXTRACT: WARNING - Aperture 106: Jun 3 2:20: Total variance weighted spectrum flux is 4555.329 Jun 3 2:20: Total unweighted spectrum flux is 1858.523 Jun 3 2:20: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4079887 Jun 3 2:20: EXTRACT: WARNING - Aperture 107: Jun 3 2:20: Total variance weighted spectrum flux is 10093.49 Jun 3 2:20: Total unweighted spectrum flux is 2688.705 Jun 3 2:20: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2663801 Jun 3 2:20: EXTRACT: WARNING - Aperture 108: Jun 3 2:20: Total variance weighted spectrum flux is 6835.484 Jun 3 2:20: Total unweighted spectrum flux is 2985.246 Jun 3 2:20: EXTRACT: Aperture 108 variance spectrum bias factor is 0.4367277 Jun 3 2:20: EXTRACT: WARNING - Aperture 110: Jun 3 2:20: Total variance weighted spectrum flux is 7241.712 Jun 3 2:20: Total unweighted spectrum flux is -958.1824 Jun 3 2:20: Variance spectrum bias factor ignored Jun 3 2:20: EXTRACT: WARNING - Aperture 111: Jun 3 2:20: Total variance weighted spectrum flux is 7866.433 Jun 3 2:20: Total unweighted spectrum flux is 2723.057 Jun 3 2:20: EXTRACT: Aperture 111 variance spectrum bias factor is 0.3461616 Jun 3 2:20: EXTRACT: WARNING - Aperture 112: Jun 3 2:20: Total variance weighted spectrum flux is 4651.123 Jun 3 2:20: Total unweighted spectrum flux is 1653.323 Jun 3 2:20: EXTRACT: Aperture 112 variance spectrum bias factor is 0.3554675 Jun 3 2:20: EXTRACT: WARNING - Aperture 113: Jun 3 2:20: Total variance weighted spectrum flux is 7331.333 Jun 3 2:20: Total unweighted spectrum flux is 287.1889 Jun 3 2:20: EXTRACT: Aperture 113 variance spectrum bias factor is 0.03917281 Jun 3 2:20: EXTRACT: WARNING - Aperture 114: Jun 3 2:20: Total variance weighted spectrum flux is 3457.087 Jun 3 2:20: Total unweighted spectrum flux is 692.7581 Jun 3 2:20: EXTRACT: Aperture 114 variance spectrum bias factor is 0.2003878 Jun 3 2:20: EXTRACT: WARNING - Aperture 115: Jun 3 2:20: Total variance weighted spectrum flux is 3477.212 Jun 3 2:20: Total unweighted spectrum flux is 684.455 Jun 3 2:20: EXTRACT: Aperture 115 variance spectrum bias factor is 0.1968402 Resampling the object by a factor of 4 in the y direction... 150506.0033 Magnify image 150506.0033 to image 150506.0033. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 150506.0033,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150506.0033 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150506.0033 -> noscat150506.0033 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Jun 3 2:20: EXTRACT: WARNING - Aperture 115: Jun 3 2:20: Total variance weighted spectrum flux is 3570.937 Jun 3 2:20: Total unweighted spectrum flux is 203.5958 Jun 3 2:20: EXTRACT: Aperture 115 variance spectrum bias factor is 0.05701468 Resampling the object by a factor of 4 in the y direction... 150506.0034 Magnify image 150506.0034 to image 150506.0034. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 150506.0034,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150506.0034 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150506.0034 -> noscat150506.0034 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... add EchelleThAr.0017.ec.fits,REFSPEC1 = EchelleThAr.0017.ec.fits EchelleThAr.0017.ec.fits updated add EchelleThAr.0018.ec.fits,REFSPEC1 = EchelleThAr.0018.ec.fits EchelleThAr.0018.ec.fits updated add EchelleThAr.0019.ec.fits,REFSPEC1 = EchelleThAr.0019.ec.fits EchelleThAr.0019.ec.fits updated add EchelleThAr.0020.ec.fits,REFSPEC1 = EchelleThAr.0020.ec.fits EchelleThAr.0020.ec.fits updated add EchelleThAr.0021.ec.fits,REFSPEC1 = EchelleThAr.0021.ec.fits EchelleThAr.0021.ec.fits updated add EchelleThAr.0024.ec.fits,REFSPEC1 = EchelleThAr.0024.ec.fits EchelleThAr.0024.ec.fits updated add EchelleThAr.0028.ec.fits,REFSPEC1 = EchelleThAr.0028.ec.fits EchelleThAr.0028.ec.fits updated add EchelleThAr.0035.ec.fits,REFSPEC1 = EchelleThAr.0035.ec.fits EchelleThAr.0035.ec.fits updated Flatfielding extracted arcs and object spectra... add EchelleThAr.0017.ec.fits,UTMIDDLE = 0 EchelleThAr.0017.ec.fits updated EchelleThAr.0017.ec.fits,UTMIDDLE: 0 -> 06:17:36.589052 EchelleThAr.0017.ec.fits updated add EchelleThAr.0018.ec.fits,UTMIDDLE = 0 EchelleThAr.0018.ec.fits updated EchelleThAr.0018.ec.fits,UTMIDDLE: 0 -> 06:20:28.163778 EchelleThAr.0018.ec.fits updated add EchelleThAr.0019.ec.fits,UTMIDDLE = 0 EchelleThAr.0019.ec.fits updated EchelleThAr.0019.ec.fits,UTMIDDLE: 0 -> 06:23:31.697236 EchelleThAr.0019.ec.fits updated add EchelleThAr.0020.ec.fits,UTMIDDLE = 0 EchelleThAr.0020.ec.fits updated EchelleThAr.0020.ec.fits,UTMIDDLE: 0 -> 06:26:34.198749 EchelleThAr.0020.ec.fits updated add EchelleThAr.0021.ec.fits,UTMIDDLE = 0 EchelleThAr.0021.ec.fits updated EchelleThAr.0021.ec.fits,UTMIDDLE: 0 -> 07:20:06.105735 EchelleThAr.0021.ec.fits updated add EchelleThAr.0024.ec.fits,UTMIDDLE = 0 EchelleThAr.0024.ec.fits updated EchelleThAr.0024.ec.fits,UTMIDDLE: 0 -> 08:04:13.383752 EchelleThAr.0024.ec.fits updated add EchelleThAr.0028.ec.fits,UTMIDDLE = 0 EchelleThAr.0028.ec.fits updated EchelleThAr.0028.ec.fits,UTMIDDLE: 0 -> 09:12:34.401786 EchelleThAr.0028.ec.fits updated add EchelleThAr.0035.ec.fits,UTMIDDLE = 0 EchelleThAr.0035.ec.fits updated EchelleThAr.0035.ec.fits,UTMIDDLE: 0 -> 11:14:20.826728 EchelleThAr.0035.ec.fits updated add 150506.0022.ec.fits,UTMIDDLE = 0 150506.0022.ec.fits updated 150506.0022.ec.fits,UTMIDDLE: 0 -> 07:24:19.157049 150506.0022.ec.fits updated add 150506.0023.ec.fits,UTMIDDLE = 0 150506.0023.ec.fits updated 150506.0023.ec.fits,UTMIDDLE: 0 -> 07:46:18.204751 150506.0023.ec.fits updated add 150506.0025.ec.fits,UTMIDDLE = 0 150506.0025.ec.fits updated 150506.0025.ec.fits,UTMIDDLE: 0 -> 08:22:10.444729 150506.0025.ec.fits updated add 150506.0026.ec.fits,UTMIDDLE = 0 150506.0026.ec.fits updated 150506.0026.ec.fits,UTMIDDLE: 0 -> 08:40:33.851794 150506.0026.ec.fits updated add 150506.0027.ec.fits,UTMIDDLE = 0 150506.0027.ec.fits updated 150506.0027.ec.fits,UTMIDDLE: 0 -> 08:56:45.954083 150506.0027.ec.fits updated add 150506.0029.ec.fits,UTMIDDLE = 0 150506.0029.ec.fits updated 150506.0029.ec.fits,UTMIDDLE: 0 -> 09:30:48.561125 150506.0029.ec.fits updated add 150506.0030.ec.fits,UTMIDDLE = 0 150506.0030.ec.fits updated 150506.0030.ec.fits,UTMIDDLE: 0 -> 09:47:26.762081 150506.0030.ec.fits updated add 150506.0031.ec.fits,UTMIDDLE = 0 150506.0031.ec.fits updated 150506.0031.ec.fits,UTMIDDLE: 0 -> 10:05:28.429104 150506.0031.ec.fits updated add 150506.0032.ec.fits,UTMIDDLE = 0 150506.0032.ec.fits updated 150506.0032.ec.fits,UTMIDDLE: 0 -> 10:35:20.502075 150506.0032.ec.fits updated add 150506.0033.ec.fits,UTMIDDLE = 0 150506.0033.ec.fits updated 150506.0033.ec.fits,UTMIDDLE: 0 -> 10:57:57.991762 150506.0033.ec.fits updated add 150506.0034.ec.fits,UTMIDDLE = 0 150506.0034.ec.fits updated 150506.0034.ec.fits,UTMIDDLE: 0 -> 11:10:51.826056 150506.0034.ec.fits updated Setting Julian Date Keywords # Image jd hjd ljd # SETJD: Observatory parameters for Apache Point Observatory # timezone = 7 150506.0022.ec.fits 2457148.80856 2457148.80986 2457148 150506.0023.ec.fits 2457148.82382 2457148.82433 2457148 150506.0025.ec.fits 2457148.84873 2457148.84924 2457148 150506.0026.ec.fits 2457148.86150 2457148.86235 2457148 150506.0027.ec.fits 2457148.87275 2457148.87310 2457148 150506.0029.ec.fits 2457148.89640 2457148.89674 2457148 150506.0030.ec.fits 2457148.90795 2457148.90717 2457148 150506.0031.ec.fits 2457148.92047 2457148.92043 2457148 150506.0032.ec.fits 2457148.94121 2457148.94128 2457148 150506.0033.ec.fits 2457148.95692 2457148.95721 2457148 150506.0034.ec.fits 2457148.96588 2457148.96719 2457148 # Image UT middle effective begin middle end updated # SETAIRMASS: Observatory parameters for Apache Point Observatory # latitude = 32:46.8 150506.0022.ec.fits 7:24:19.2 1.2453 1.2467 1.2453 1.2439 yes 150506.0023.ec.fits 7:46:18.2 1.4478 1.5272 1.4460 1.3757 yes 150506.0025.ec.fits 8:22:10.4 1.2946 1.3509 1.2933 1.2433 yes 150506.0026.ec.fits 8:40:33.8 1.2321 1.2329 1.2321 1.2314 yes 150506.0027.ec.fits 8:56:46.0 1.2087 1.2445 1.2080 1.1756 yes 150506.0029.ec.fits 9:30:48.6 1.1286 1.1544 1.1281 1.1049 yes 150506.0030.ec.fits 9:47:26.8 1.2455 1.2470 1.2454 1.2439 yes 150506.0031.ec.fits 10:05:28.4 1.0967 1.1148 1.0963 1.0802 yes 150506.0032.ec.fits 10:35:20.5 1.0530 1.0660 1.0527 1.0415 yes 150506.0033.ec.fits 10:57:58.0 1.0259 1.0300 1.0258 1.0222 yes 150506.0034.ec.fits 11:10:51.8 1.0371 1.0368 1.0371 1.0374 yes ECREIDENTIFY: NOAO/IRAF V2.16.1 jeanm12@tequila.nmsu.edu Wed 02:21:44 03-Jun-2015 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS EchelleThAr.0017.ec 906/2055 906/906 -2.76 20.3 3.58E-5 0.013 EchelleThAr.0018.ec 1767/2055 1767/1767 -2.78 20.4 3.60E-5 0.012 EchelleThAr.0019.ec 1736/2055 1736/1736 -2.77 20.4 3.59E-5 0.0117 EchelleThAr.0020.ec 1731/2055 1731/1731 -2.79 20.5 3.61E-5 0.0112 EchelleThAr.0021.ec 1893/2055 1893/1893 -2.85 20.9 3.69E-5 0.0106 EchelleThAr.0024.ec 1879/2055 1879/1879 -2.8 20.5 3.62E-5 0.0101 EchelleThAr.0028.ec 1826/2055 1826/1826 -2.83 20.8 3.66E-5 0.0113 EchelleThAr.0035.ec 1801/2055 1801/1801 -3.09 22.7 4.00E-5 0.011 [150506.0022.ec] refspec1='EchelleThAr.0017.ec' [150506.0023.ec] refspec1='EchelleThAr.0017.ec' [150506.0025.ec] refspec1='EchelleThAr.0017.ec' [150506.0026.ec] refspec1='EchelleThAr.0017.ec' [150506.0027.ec] refspec1='EchelleThAr.0017.ec' [150506.0029.ec] refspec1='EchelleThAr.0017.ec' [150506.0030.ec] refspec1='EchelleThAr.0017.ec' [150506.0031.ec] refspec1='EchelleThAr.0017.ec' [150506.0032.ec] refspec1='EchelleThAr.0017.ec' [150506.0033.ec] refspec1='EchelleThAr.0017.ec' [150506.0034.ec] refspec1='EchelleThAr.0017.ec' [EchelleThAr.0017.ec] refspec1='EchelleThAr.0017.ec' [EchelleThAr.0018.ec] refspec1='EchelleThAr.0018.ec' [EchelleThAr.0019.ec] refspec1='EchelleThAr.0019.ec' [EchelleThAr.0020.ec] refspec1='EchelleThAr.0020.ec' [EchelleThAr.0021.ec] refspec1='EchelleThAr.0021.ec' [EchelleThAr.0024.ec] refspec1='EchelleThAr.0024.ec' [EchelleThAr.0028.ec] refspec1='EchelleThAr.0028.ec' [EchelleThAr.0035.ec] refspec1='EchelleThAr.0035.ec' 150506.0022.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' 150506.0022.ec.fits: ap = 1, w1 = 10811.35, w2 = 10583.14, dw = -0.13831, nw = 1651 150506.0022.ec.fits: ap = 2, w1 = 10611.16, w2 = 10387.18, dw = -0.13575, nw = 1651 150506.0022.ec.fits: ap = 3, w1 = 10418.24, w2 = 10198.34, dw = -0.13327, nw = 1651 150506.0022.ec.fits: ap = 4, w1 = 10232.22, w2 = 10016.25, dw = -0.13089, nw = 1651 150506.0022.ec.fits: ap = 5, w1 = 10052.72, w2 = 9840.549, dw = -0.12859, nw = 1651 150506.0022.ec.fits: ap = 6, w1 = 9879.416, w2 = 9670.905, dw = -0.12637, nw = 1651 150506.0022.ec.fits: ap = 7, w1 = 9711.983, w2 = 9507.012, dw = -0.12423, nw = 1651 150506.0022.ec.fits: ap = 8, w1 = 9550.131, w2 = 9348.581, dw = -0.12215, nw = 1651 150506.0022.ec.fits: ap = 9, w1 = 9393.586, w2 = 9195.344, dw = -0.12015, nw = 1651 150506.0022.ec.fits: ap = 10, w1 = 9242.09, w2 = 9047.049, dw = -0.11821, nw = 1651 150506.0022.ec.fits: ap = 11, w1 = 9095.403, w2 = 8903.463, dw = -0.11633, nw = 1651 150506.0022.ec.fits: ap = 12, w1 = 8953.301, w2 = 8764.363, dw = -0.11451, nw = 1651 150506.0022.ec.fits: ap = 13, w1 = 8815.57, w2 = 8629.542, dw = -0.11274, nw = 1651 150506.0022.ec.fits: ap = 14, w1 = 8682.013, w2 = 8498.807, dw = -0.11103, nw = 1651 150506.0022.ec.fits: ap = 15, w1 = 8552.442, w2 = 8371.974, dw = -0.10937, nw = 1651 150506.0022.ec.fits: ap = 16, w1 = 8426.683, w2 = 8248.871, dw = -0.10776, nw = 1651 150506.0022.ec.fits: ap = 17, w1 = 8304.568, w2 = 8129.336, dw = -0.1062, nw = 1651 150506.0022.ec.fits: ap = 18, w1 = 8185.942, w2 = 8013.216, dw = -0.10468, nw = 1651 150506.0022.ec.fits: ap = 19, w1 = 8070.658, w2 = 7900.367, dw = -0.10321, nw = 1651 150506.0022.ec.fits: ap = 20, w1 = 7958.576, w2 = 7790.652, dw = -0.10177, nw = 1651 150506.0022.ec.fits: ap = 21, w1 = 7849.565, w2 = 7683.943, dw = -0.10038, nw = 1651 150506.0022.ec.fits: ap = 22, w1 = 7743.5, w2 = 7580.118, dw = -0.09902, nw = 1651 150506.0022.ec.fits: ap = 23, w1 = 7640.263, w2 = 7479.062, dw = -0.0977, nw = 1651 150506.0022.ec.fits: ap = 24, w1 = 7539.743, w2 = 7380.664, dw = -0.09641, nw = 1651 150506.0022.ec.fits: ap = 25, w1 = 7441.833, w2 = 7284.823, dw = -0.09516, nw = 1651 150506.0022.ec.fits: ap = 26, w1 = 7346.434, w2 = 7191.438, dw = -0.09394, nw = 1651 150506.0022.ec.fits: ap = 27, w1 = 7253.451, w2 = 7100.418, dw = -0.09275, nw = 1651 150506.0022.ec.fits: ap = 28, w1 = 7162.792, w2 = 7011.673, dw = -0.09159, nw = 1651 150506.0022.ec.fits: ap = 29, w1 = 7074.371, w2 = 6925.12, dw = -0.09046, nw = 1651 150506.0022.ec.fits: ap = 30, w1 = 6988.107, w2 = 6840.677, dw = -0.08935, nw = 1651 150506.0022.ec.fits: ap = 31, w1 = 6903.921, w2 = 6758.269, dw = -0.08827, nw = 1651 150506.0022.ec.fits: ap = 32, w1 = 6821.74, w2 = 6677.823, dw = -0.08722, nw = 1651 150506.0022.ec.fits: ap = 33, w1 = 6741.492, w2 = 6599.27, dw = -0.0862, nw = 1651 150506.0022.ec.fits: ap = 34, w1 = 6663.111, w2 = 6522.544, dw = -0.08519, nw = 1651 150506.0022.ec.fits: ap = 35, w1 = 6586.532, w2 = 6447.582, dw = -0.08421, nw = 1651 150506.0022.ec.fits: ap = 36, w1 = 6511.693, w2 = 6374.323, dw = -0.08325, nw = 1651 150506.0022.ec.fits: ap = 37, w1 = 6438.536, w2 = 6302.71, dw = -0.08232, nw = 1651 150506.0022.ec.fits: ap = 38, w1 = 6367.004, w2 = 6232.689, dw = -0.0814, nw = 1651 150506.0022.ec.fits: ap = 39, w1 = 6297.045, w2 = 6164.207, dw = -0.08051, nw = 1651 150506.0022.ec.fits: ap = 40, w1 = 6228.607, w2 = 6097.214, dw = -0.07963, nw = 1651 150506.0022.ec.fits: ap = 41, w1 = 6161.64, w2 = 6031.661, dw = -0.07878, nw = 1651 150506.0022.ec.fits: ap = 42, w1 = 6096.098, w2 = 5967.504, dw = -0.07794, nw = 1651 150506.0022.ec.fits: ap = 43, w1 = 6031.937, w2 = 5904.697, dw = -0.07712, nw = 1651 150506.0022.ec.fits: ap = 44, w1 = 5969.112, w2 = 5843.198, dw = -0.07631, nw = 1651 150506.0022.ec.fits: ap = 45, w1 = 5907.582, w2 = 5782.968, dw = -0.07552, nw = 1651 150506.0022.ec.fits: ap = 46, w1 = 5847.308, w2 = 5723.967, dw = -0.07475, nw = 1651 150506.0022.ec.fits: ap = 47, w1 = 5788.252, w2 = 5666.158, dw = -0.074, nw = 1651 150506.0022.ec.fits: ap = 48, w1 = 5730.377, w2 = 5609.505, dw = -0.07326, nw = 1651 150506.0022.ec.fits: ap = 49, w1 = 5673.648, w2 = 5553.974, dw = -0.07253, nw = 1651 150506.0022.ec.fits: ap = 50, w1 = 5618.032, w2 = 5499.532, dw = -0.07182, nw = 1651 150506.0022.ec.fits: ap = 51, w1 = 5563.495, w2 = 5446.148, dw = -0.07112, nw = 1651 150506.0022.ec.fits: ap = 52, w1 = 5510.008, w2 = 5393.79, dw = -0.07043, nw = 1651 150506.0022.ec.fits: ap = 53, w1 = 5457.539, w2 = 5342.43, dw = -0.06976, nw = 1651 150506.0022.ec.fits: ap = 54, w1 = 5406.06, w2 = 5292.039, dw = -0.0691, nw = 1651 150506.0022.ec.fits: ap = 55, w1 = 5355.544, w2 = 5242.589, dw = -0.06846, nw = 1651 150506.0022.ec.fits: ap = 56, w1 = 5305.964, w2 = 5194.056, dw = -0.06782, nw = 1651 150506.0022.ec.fits: ap = 57, w1 = 5257.293, w2 = 5146.414, dw = -0.0672, nw = 1651 150506.0022.ec.fits: ap = 58, w1 = 5209.507, w2 = 5099.637, dw = -0.06659, nw = 1651 150506.0022.ec.fits: ap = 59, w1 = 5162.582, w2 = 5053.704, dw = -0.06599, nw = 1651 150506.0022.ec.fits: ap = 60, w1 = 5116.496, w2 = 5008.591, dw = -0.0654, nw = 1651 150506.0022.ec.fits: ap = 61, w1 = 5071.225, w2 = 4964.277, dw = -0.06482, nw = 1651 150506.0022.ec.fits: ap = 62, w1 = 5026.749, w2 = 4920.741, dw = -0.06425, nw = 1651 150506.0022.ec.fits: ap = 63, w1 = 4983.046, w2 = 4877.962, dw = -0.06369, nw = 1651 150506.0022.ec.fits: ap = 64, w1 = 4940.097, w2 = 4835.92, dw = -0.06314, nw = 1651 150506.0022.ec.fits: ap = 65, w1 = 4897.882, w2 = 4794.598, dw = -0.0626, nw = 1651 150506.0022.ec.fits: ap = 66, w1 = 4856.383, w2 = 4753.976, dw = -0.06207, nw = 1651 150506.0022.ec.fits: ap = 67, w1 = 4815.582, w2 = 4714.037, dw = -0.06154, nw = 1651 150506.0022.ec.fits: ap = 68, w1 = 4775.461, w2 = 4674.763, dw = -0.06103, nw = 1651 150506.0022.ec.fits: ap = 69, w1 = 4736.003, w2 = 4636.14, dw = -0.06052, nw = 1651 150506.0022.ec.fits: ap = 70, w1 = 4697.192, w2 = 4598.149, dw = -0.06003, nw = 1651 150506.0022.ec.fits: ap = 71, w1 = 4659.012, w2 = 4560.777, dw = -0.05954, nw = 1651 150506.0022.ec.fits: ap = 72, w1 = 4621.449, w2 = 4524.007, dw = -0.05906, nw = 1651 150506.0022.ec.fits: ap = 73, w1 = 4584.486, w2 = 4487.826, dw = -0.05858, nw = 1651 150506.0022.ec.fits: ap = 74, w1 = 4548.111, w2 = 4452.22, dw = -0.05812, nw = 1651 150506.0022.ec.fits: ap = 75, w1 = 4512.308, w2 = 4417.175, dw = -0.05766, nw = 1651 150506.0022.ec.fits: ap = 76, w1 = 4477.065, w2 = 4382.677, dw = -0.05721, nw = 1651 150506.0022.ec.fits: ap = 77, w1 = 4442.369, w2 = 4348.714, dw = -0.05676, nw = 1651 150506.0022.ec.fits: ap = 78, w1 = 4408.207, w2 = 4315.275, dw = -0.05632, nw = 1651 150506.0022.ec.fits: ap = 79, w1 = 4374.566, w2 = 4282.346, dw = -0.05589, nw = 1651 150506.0022.ec.fits: ap = 80, w1 = 4341.436, w2 = 4249.916, dw = -0.05547, nw = 1651 150506.0022.ec.fits: ap = 81, w1 = 4308.803, w2 = 4217.974, dw = -0.05505, nw = 1651 150506.0022.ec.fits: ap = 82, w1 = 4276.659, w2 = 4186.509, dw = -0.05464, nw = 1651 150506.0022.ec.fits: ap = 83, w1 = 4244.99, w2 = 4155.511, dw = -0.05423, nw = 1651 150506.0022.ec.fits: ap = 84, w1 = 4213.788, w2 = 4124.968, dw = -0.05383, nw = 1651 150506.0022.ec.fits: ap = 85, w1 = 4183.041, w2 = 4094.872, dw = -0.05344, nw = 1651 150506.0022.ec.fits: ap = 86, w1 = 4152.74, w2 = 4065.212, dw = -0.05305, nw = 1651 150506.0022.ec.fits: ap = 87, w1 = 4122.875, w2 = 4035.979, dw = -0.05266, nw = 1651 150506.0022.ec.fits: ap = 88, w1 = 4093.438, w2 = 4007.165, dw = -0.05229, nw = 1651 150506.0022.ec.fits: ap = 89, w1 = 4064.418, w2 = 3978.759, dw = -0.05191, nw = 1651 150506.0022.ec.fits: ap = 90, w1 = 4035.807, w2 = 3950.753, dw = -0.05155, nw = 1651 150506.0022.ec.fits: ap = 91, w1 = 4007.596, w2 = 3923.14, dw = -0.05119, nw = 1651 150506.0022.ec.fits: ap = 92, w1 = 3979.778, w2 = 3895.91, dw = -0.05083, nw = 1651 150506.0022.ec.fits: ap = 93, w1 = 3952.343, w2 = 3869.056, dw = -0.05048, nw = 1651 150506.0022.ec.fits: ap = 94, w1 = 3925.285, w2 = 3842.57, dw = -0.05013, nw = 1651 150506.0022.ec.fits: ap = 95, w1 = 3898.595, w2 = 3816.445, dw = -0.04979, nw = 1651 150506.0022.ec.fits: ap = 96, w1 = 3872.266, w2 = 3790.673, dw = -0.04945, nw = 1651 150506.0022.ec.fits: ap = 97, w1 = 3846.29, w2 = 3765.248, dw = -0.04912, nw = 1651 150506.0022.ec.fits: ap = 98, w1 = 3820.662, w2 = 3740.161, dw = -0.04879, nw = 1651 150506.0022.ec.fits: ap = 99, w1 = 3795.373, w2 = 3715.408, dw = -0.04846, nw = 1651 150506.0022.ec.fits: ap = 100, w1 = 3770.417, w2 = 3690.98, dw = -0.04814, nw = 1651 150506.0022.ec.fits: ap = 101, w1 = 3745.787, w2 = 3666.872, dw = -0.04783, nw = 1651 150506.0022.ec.fits: ap = 102, w1 = 3721.478, w2 = 3643.077, dw = -0.04752, nw = 1651 150506.0022.ec.fits: ap = 103, w1 = 3697.483, w2 = 3619.589, dw = -0.04721, nw = 1651 150506.0022.ec.fits: ap = 104, w1 = 3673.795, w2 = 3596.403, dw = -0.0469, nw = 1651 150506.0022.ec.fits: ap = 105, w1 = 3650.41, w2 = 3573.513, dw = -0.0466, nw = 1651 150506.0022.ec.fits: ap = 106, w1 = 3627.321, w2 = 3550.913, dw = -0.04631, nw = 1651 150506.0022.ec.fits: ap = 107, w1 = 3604.523, w2 = 3528.597, dw = -0.04602, nw = 1651 150506.0022.ec.fits: ap = 108, w1 = 3582.01, w2 = 3506.56, dw = -0.04573, nw = 1651 150506.0022.ec.fits: ap = 109, w1 = 3559.777, w2 = 3484.798, dw = -0.04544, nw = 1651 150506.0022.ec.fits: ap = 110, w1 = 3537.819, w2 = 3463.304, dw = -0.04516, nw = 1651 150506.0022.ec.fits: ap = 111, w1 = 3516.131, w2 = 3442.075, dw = -0.04488, nw = 1651 150506.0022.ec.fits: ap = 112, w1 = 3494.707, w2 = 3421.105, dw = -0.04461, nw = 1651 150506.0022.ec.fits: ap = 113, w1 = 3473.544, w2 = 3400.389, dw = -0.04434, nw = 1651 150506.0022.ec.fits: ap = 114, w1 = 3452.636, w2 = 3379.923, dw = -0.04407, nw = 1651 150506.0022.ec.fits: ap = 115, w1 = 3431.978, w2 = 3359.703, dw = -0.0438, nw = 1651 150506.0023.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' 150506.0023.ec.fits: ap = 1, w1 = 10811.35, w2 = 10583.14, dw = -0.13831, nw = 1651 150506.0023.ec.fits: ap = 2, w1 = 10611.16, w2 = 10387.18, dw = -0.13575, nw = 1651 150506.0023.ec.fits: ap = 3, w1 = 10418.24, w2 = 10198.34, dw = -0.13327, nw = 1651 150506.0023.ec.fits: ap = 4, w1 = 10232.22, w2 = 10016.25, dw = -0.13089, nw = 1651 150506.0023.ec.fits: ap = 5, w1 = 10052.72, w2 = 9840.549, dw = -0.12859, nw = 1651 150506.0023.ec.fits: ap = 6, w1 = 9879.416, w2 = 9670.905, dw = -0.12637, nw = 1651 150506.0023.ec.fits: ap = 7, w1 = 9711.983, w2 = 9507.012, dw = -0.12423, nw = 1651 150506.0023.ec.fits: ap = 8, w1 = 9550.131, w2 = 9348.581, dw = -0.12215, nw = 1651 150506.0023.ec.fits: ap = 9, w1 = 9393.586, w2 = 9195.344, dw = -0.12015, nw = 1651 150506.0023.ec.fits: ap = 10, w1 = 9242.09, w2 = 9047.049, dw = -0.11821, nw = 1651 150506.0023.ec.fits: ap = 11, w1 = 9095.403, w2 = 8903.463, dw = -0.11633, nw = 1651 150506.0023.ec.fits: ap = 12, w1 = 8953.301, w2 = 8764.363, dw = -0.11451, nw = 1651 150506.0023.ec.fits: ap = 13, w1 = 8815.57, w2 = 8629.542, dw = -0.11274, nw = 1651 150506.0023.ec.fits: ap = 14, w1 = 8682.013, w2 = 8498.807, dw = -0.11103, nw = 1651 150506.0023.ec.fits: ap = 15, w1 = 8552.442, w2 = 8371.974, dw = -0.10937, nw = 1651 150506.0023.ec.fits: ap = 16, w1 = 8426.683, w2 = 8248.871, dw = -0.10776, nw = 1651 150506.0023.ec.fits: ap = 17, w1 = 8304.568, w2 = 8129.336, dw = -0.1062, nw = 1651 150506.0023.ec.fits: ap = 18, w1 = 8185.942, w2 = 8013.216, dw = -0.10468, nw = 1651 150506.0023.ec.fits: ap = 19, w1 = 8070.658, w2 = 7900.367, dw = -0.10321, nw = 1651 150506.0023.ec.fits: ap = 20, w1 = 7958.576, w2 = 7790.652, dw = -0.10177, nw = 1651 150506.0023.ec.fits: ap = 21, w1 = 7849.565, w2 = 7683.943, dw = -0.10038, nw = 1651 150506.0023.ec.fits: ap = 22, w1 = 7743.5, w2 = 7580.118, dw = -0.09902, nw = 1651 150506.0023.ec.fits: ap = 23, w1 = 7640.263, w2 = 7479.062, dw = -0.0977, nw = 1651 150506.0023.ec.fits: ap = 24, w1 = 7539.743, w2 = 7380.664, dw = -0.09641, nw = 1651 150506.0023.ec.fits: ap = 25, w1 = 7441.833, w2 = 7284.823, dw = -0.09516, nw = 1651 150506.0023.ec.fits: ap = 26, w1 = 7346.434, w2 = 7191.438, dw = -0.09394, nw = 1651 150506.0023.ec.fits: ap = 27, w1 = 7253.451, w2 = 7100.418, dw = -0.09275, nw = 1651 150506.0023.ec.fits: ap = 28, w1 = 7162.792, w2 = 7011.673, dw = -0.09159, nw = 1651 150506.0023.ec.fits: ap = 29, w1 = 7074.371, w2 = 6925.12, dw = -0.09046, nw = 1651 150506.0023.ec.fits: ap = 30, w1 = 6988.107, w2 = 6840.677, dw = -0.08935, nw = 1651 150506.0023.ec.fits: ap = 31, w1 = 6903.921, w2 = 6758.269, dw = -0.08827, nw = 1651 150506.0023.ec.fits: ap = 32, w1 = 6821.74, w2 = 6677.823, dw = -0.08722, nw = 1651 150506.0023.ec.fits: ap = 33, w1 = 6741.492, w2 = 6599.27, dw = -0.0862, nw = 1651 150506.0023.ec.fits: ap = 34, w1 = 6663.111, w2 = 6522.544, dw = -0.08519, nw = 1651 150506.0023.ec.fits: ap = 35, w1 = 6586.532, w2 = 6447.582, dw = -0.08421, nw = 1651 150506.0023.ec.fits: ap = 36, w1 = 6511.693, w2 = 6374.323, dw = -0.08325, nw = 1651 150506.0023.ec.fits: ap = 37, w1 = 6438.536, w2 = 6302.71, dw = -0.08232, nw = 1651 150506.0023.ec.fits: ap = 38, w1 = 6367.004, w2 = 6232.689, dw = -0.0814, nw = 1651 150506.0023.ec.fits: ap = 39, w1 = 6297.045, w2 = 6164.207, dw = -0.08051, nw = 1651 150506.0023.ec.fits: ap = 40, w1 = 6228.607, w2 = 6097.214, dw = -0.07963, nw = 1651 150506.0023.ec.fits: ap = 41, w1 = 6161.64, w2 = 6031.661, dw = -0.07878, nw = 1651 150506.0023.ec.fits: ap = 42, w1 = 6096.098, w2 = 5967.504, dw = -0.07794, nw = 1651 150506.0023.ec.fits: ap = 43, w1 = 6031.937, w2 = 5904.697, dw = -0.07712, nw = 1651 150506.0023.ec.fits: ap = 44, w1 = 5969.112, w2 = 5843.198, dw = -0.07631, nw = 1651 150506.0023.ec.fits: ap = 45, w1 = 5907.582, w2 = 5782.968, dw = -0.07552, nw = 1651 150506.0023.ec.fits: ap = 46, w1 = 5847.308, w2 = 5723.967, dw = -0.07475, nw = 1651 150506.0023.ec.fits: ap = 47, w1 = 5788.252, w2 = 5666.158, dw = -0.074, nw = 1651 150506.0023.ec.fits: ap = 48, w1 = 5730.377, w2 = 5609.505, dw = -0.07326, nw = 1651 150506.0023.ec.fits: ap = 49, w1 = 5673.648, w2 = 5553.974, dw = -0.07253, nw = 1651 150506.0023.ec.fits: ap = 50, w1 = 5618.032, w2 = 5499.532, dw = -0.07182, nw = 1651 150506.0023.ec.fits: ap = 51, w1 = 5563.495, w2 = 5446.148, dw = -0.07112, nw = 1651 150506.0023.ec.fits: ap = 52, w1 = 5510.008, w2 = 5393.79, dw = -0.07043, nw = 1651 150506.0023.ec.fits: ap = 53, w1 = 5457.539, w2 = 5342.43, dw = -0.06976, nw = 1651 150506.0023.ec.fits: ap = 54, w1 = 5406.06, w2 = 5292.039, dw = -0.0691, nw = 1651 150506.0023.ec.fits: ap = 55, w1 = 5355.544, w2 = 5242.589, dw = -0.06846, nw = 1651 150506.0023.ec.fits: ap = 56, w1 = 5305.964, w2 = 5194.056, dw = -0.06782, nw = 1651 150506.0023.ec.fits: ap = 57, w1 = 5257.293, w2 = 5146.414, dw = -0.0672, nw = 1651 150506.0023.ec.fits: ap = 58, w1 = 5209.507, w2 = 5099.637, dw = -0.06659, nw = 1651 150506.0023.ec.fits: ap = 59, w1 = 5162.582, w2 = 5053.704, dw = -0.06599, nw = 1651 150506.0023.ec.fits: ap = 60, w1 = 5116.496, w2 = 5008.591, dw = -0.0654, nw = 1651 150506.0023.ec.fits: ap = 61, w1 = 5071.225, w2 = 4964.277, dw = -0.06482, nw = 1651 150506.0023.ec.fits: ap = 62, w1 = 5026.749, w2 = 4920.741, dw = -0.06425, nw = 1651 150506.0023.ec.fits: ap = 63, w1 = 4983.046, w2 = 4877.962, dw = -0.06369, nw = 1651 150506.0023.ec.fits: ap = 64, w1 = 4940.097, w2 = 4835.92, dw = -0.06314, nw = 1651 150506.0023.ec.fits: ap = 65, w1 = 4897.882, w2 = 4794.598, dw = -0.0626, nw = 1651 150506.0023.ec.fits: ap = 66, w1 = 4856.383, w2 = 4753.976, dw = -0.06207, nw = 1651 150506.0023.ec.fits: ap = 67, w1 = 4815.582, w2 = 4714.037, dw = -0.06154, nw = 1651 150506.0023.ec.fits: ap = 68, w1 = 4775.461, w2 = 4674.763, dw = -0.06103, nw = 1651 150506.0023.ec.fits: ap = 69, w1 = 4736.003, w2 = 4636.14, dw = -0.06052, nw = 1651 150506.0023.ec.fits: ap = 70, w1 = 4697.192, w2 = 4598.149, dw = -0.06003, nw = 1651 150506.0023.ec.fits: ap = 71, w1 = 4659.012, w2 = 4560.777, dw = -0.05954, nw = 1651 150506.0023.ec.fits: ap = 72, w1 = 4621.449, w2 = 4524.007, dw = -0.05906, nw = 1651 150506.0023.ec.fits: ap = 73, w1 = 4584.486, w2 = 4487.826, dw = -0.05858, nw = 1651 150506.0023.ec.fits: ap = 74, w1 = 4548.111, w2 = 4452.22, dw = -0.05812, nw = 1651 150506.0023.ec.fits: ap = 75, w1 = 4512.308, w2 = 4417.175, dw = -0.05766, nw = 1651 150506.0023.ec.fits: ap = 76, w1 = 4477.065, w2 = 4382.677, dw = -0.05721, nw = 1651 150506.0023.ec.fits: ap = 77, w1 = 4442.369, w2 = 4348.714, dw = -0.05676, nw = 1651 150506.0023.ec.fits: ap = 78, w1 = 4408.207, w2 = 4315.275, dw = -0.05632, nw = 1651 150506.0023.ec.fits: ap = 79, w1 = 4374.566, w2 = 4282.346, dw = -0.05589, nw = 1651 150506.0023.ec.fits: ap = 80, w1 = 4341.436, w2 = 4249.916, dw = -0.05547, nw = 1651 150506.0023.ec.fits: ap = 81, w1 = 4308.803, w2 = 4217.974, dw = -0.05505, nw = 1651 150506.0023.ec.fits: ap = 82, w1 = 4276.659, w2 = 4186.509, dw = -0.05464, nw = 1651 150506.0023.ec.fits: ap = 83, w1 = 4244.99, w2 = 4155.511, dw = -0.05423, nw = 1651 150506.0023.ec.fits: ap = 84, w1 = 4213.788, w2 = 4124.968, dw = -0.05383, nw = 1651 150506.0023.ec.fits: ap = 85, w1 = 4183.041, w2 = 4094.872, dw = -0.05344, nw = 1651 150506.0023.ec.fits: ap = 86, w1 = 4152.74, w2 = 4065.212, dw = -0.05305, nw = 1651 150506.0023.ec.fits: ap = 87, w1 = 4122.875, w2 = 4035.979, dw = -0.05266, nw = 1651 150506.0023.ec.fits: ap = 88, w1 = 4093.438, w2 = 4007.165, dw = -0.05229, nw = 1651 150506.0023.ec.fits: ap = 89, w1 = 4064.418, w2 = 3978.759, dw = -0.05191, nw = 1651 150506.0023.ec.fits: ap = 90, w1 = 4035.807, w2 = 3950.753, dw = -0.05155, nw = 1651 150506.0023.ec.fits: ap = 91, w1 = 4007.596, w2 = 3923.14, dw = -0.05119, nw = 1651 150506.0023.ec.fits: ap = 92, w1 = 3979.778, w2 = 3895.91, dw = -0.05083, nw = 1651 150506.0023.ec.fits: ap = 93, w1 = 3952.343, w2 = 3869.056, dw = -0.05048, nw = 1651 150506.0023.ec.fits: ap = 94, w1 = 3925.285, w2 = 3842.57, dw = -0.05013, nw = 1651 150506.0023.ec.fits: ap = 95, w1 = 3898.595, w2 = 3816.445, dw = -0.04979, nw = 1651 150506.0023.ec.fits: ap = 96, w1 = 3872.266, w2 = 3790.673, dw = -0.04945, nw = 1651 150506.0023.ec.fits: ap = 97, w1 = 3846.29, w2 = 3765.248, dw = -0.04912, nw = 1651 150506.0023.ec.fits: ap = 98, w1 = 3820.662, w2 = 3740.161, dw = -0.04879, nw = 1651 150506.0023.ec.fits: ap = 99, w1 = 3795.373, w2 = 3715.408, dw = -0.04846, nw = 1651 150506.0023.ec.fits: ap = 100, w1 = 3770.417, w2 = 3690.98, dw = -0.04814, nw = 1651 150506.0023.ec.fits: ap = 101, w1 = 3745.787, w2 = 3666.872, dw = -0.04783, nw = 1651 150506.0023.ec.fits: ap = 102, w1 = 3721.478, w2 = 3643.077, dw = -0.04752, nw = 1651 150506.0023.ec.fits: ap = 103, w1 = 3697.483, w2 = 3619.589, dw = -0.04721, nw = 1651 150506.0023.ec.fits: ap = 104, w1 = 3673.795, w2 = 3596.403, dw = -0.0469, nw = 1651 150506.0023.ec.fits: ap = 105, w1 = 3650.41, w2 = 3573.513, dw = -0.0466, nw = 1651 150506.0023.ec.fits: ap = 106, w1 = 3627.321, w2 = 3550.913, dw = -0.04631, nw = 1651 150506.0023.ec.fits: ap = 107, w1 = 3604.523, w2 = 3528.597, dw = -0.04602, nw = 1651 150506.0023.ec.fits: ap = 108, w1 = 3582.01, w2 = 3506.56, dw = -0.04573, nw = 1651 150506.0023.ec.fits: ap = 109, w1 = 3559.777, w2 = 3484.798, dw = -0.04544, nw = 1651 150506.0023.ec.fits: ap = 110, w1 = 3537.819, w2 = 3463.304, dw = -0.04516, nw = 1651 150506.0023.ec.fits: ap = 111, w1 = 3516.131, w2 = 3442.075, dw = -0.04488, nw = 1651 150506.0023.ec.fits: ap = 112, w1 = 3494.707, w2 = 3421.105, dw = -0.04461, nw = 1651 150506.0023.ec.fits: ap = 113, w1 = 3473.544, w2 = 3400.389, dw = -0.04434, nw = 1651 150506.0023.ec.fits: ap = 114, w1 = 3452.636, w2 = 3379.923, dw = -0.04407, nw = 1651 150506.0023.ec.fits: ap = 115, w1 = 3431.978, w2 = 3359.703, dw = -0.0438, nw = 1651 150506.0025.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' 150506.0025.ec.fits: ap = 1, w1 = 10811.35, w2 = 10583.14, dw = -0.13831, nw = 1651 150506.0025.ec.fits: ap = 2, w1 = 10611.16, w2 = 10387.18, dw = -0.13575, nw = 1651 150506.0025.ec.fits: ap = 3, w1 = 10418.24, w2 = 10198.34, dw = -0.13327, nw = 1651 150506.0025.ec.fits: ap = 4, w1 = 10232.22, w2 = 10016.25, dw = -0.13089, nw = 1651 150506.0025.ec.fits: ap = 5, w1 = 10052.72, w2 = 9840.549, dw = -0.12859, nw = 1651 150506.0025.ec.fits: ap = 6, w1 = 9879.416, w2 = 9670.905, dw = -0.12637, nw = 1651 150506.0025.ec.fits: ap = 7, w1 = 9711.983, w2 = 9507.012, dw = -0.12423, nw = 1651 150506.0025.ec.fits: ap = 8, w1 = 9550.131, w2 = 9348.581, dw = -0.12215, nw = 1651 150506.0025.ec.fits: ap = 9, w1 = 9393.586, w2 = 9195.344, dw = -0.12015, nw = 1651 150506.0025.ec.fits: ap = 10, w1 = 9242.09, w2 = 9047.049, dw = -0.11821, nw = 1651 150506.0025.ec.fits: ap = 11, w1 = 9095.403, w2 = 8903.463, dw = -0.11633, nw = 1651 150506.0025.ec.fits: ap = 12, w1 = 8953.301, w2 = 8764.363, dw = -0.11451, nw = 1651 150506.0025.ec.fits: ap = 13, w1 = 8815.57, w2 = 8629.542, dw = -0.11274, nw = 1651 150506.0025.ec.fits: ap = 14, w1 = 8682.013, w2 = 8498.807, dw = -0.11103, nw = 1651 150506.0025.ec.fits: ap = 15, w1 = 8552.442, w2 = 8371.974, dw = -0.10937, nw = 1651 150506.0025.ec.fits: ap = 16, w1 = 8426.683, w2 = 8248.871, dw = -0.10776, nw = 1651 150506.0025.ec.fits: ap = 17, w1 = 8304.568, w2 = 8129.336, dw = -0.1062, nw = 1651 150506.0025.ec.fits: ap = 18, w1 = 8185.942, w2 = 8013.216, dw = -0.10468, nw = 1651 150506.0025.ec.fits: ap = 19, w1 = 8070.658, w2 = 7900.367, dw = -0.10321, nw = 1651 150506.0025.ec.fits: ap = 20, w1 = 7958.576, w2 = 7790.652, dw = -0.10177, nw = 1651 150506.0025.ec.fits: ap = 21, w1 = 7849.565, w2 = 7683.943, dw = -0.10038, nw = 1651 150506.0025.ec.fits: ap = 22, w1 = 7743.5, w2 = 7580.118, dw = -0.09902, nw = 1651 150506.0025.ec.fits: ap = 23, w1 = 7640.263, w2 = 7479.062, dw = -0.0977, nw = 1651 150506.0025.ec.fits: ap = 24, w1 = 7539.743, w2 = 7380.664, dw = -0.09641, nw = 1651 150506.0025.ec.fits: ap = 25, w1 = 7441.833, w2 = 7284.823, dw = -0.09516, nw = 1651 150506.0025.ec.fits: ap = 26, w1 = 7346.434, w2 = 7191.438, dw = -0.09394, nw = 1651 150506.0025.ec.fits: ap = 27, w1 = 7253.451, w2 = 7100.418, dw = -0.09275, nw = 1651 150506.0025.ec.fits: ap = 28, w1 = 7162.792, w2 = 7011.673, dw = -0.09159, nw = 1651 150506.0025.ec.fits: ap = 29, w1 = 7074.371, w2 = 6925.12, dw = -0.09046, nw = 1651 150506.0025.ec.fits: ap = 30, w1 = 6988.107, w2 = 6840.677, dw = -0.08935, nw = 1651 150506.0025.ec.fits: ap = 31, w1 = 6903.921, w2 = 6758.269, dw = -0.08827, nw = 1651 150506.0025.ec.fits: ap = 32, w1 = 6821.74, w2 = 6677.823, dw = -0.08722, nw = 1651 150506.0025.ec.fits: ap = 33, w1 = 6741.492, w2 = 6599.27, dw = -0.0862, nw = 1651 150506.0025.ec.fits: ap = 34, w1 = 6663.111, w2 = 6522.544, dw = -0.08519, nw = 1651 150506.0025.ec.fits: ap = 35, w1 = 6586.532, w2 = 6447.582, dw = -0.08421, nw = 1651 150506.0025.ec.fits: ap = 36, w1 = 6511.693, w2 = 6374.323, dw = -0.08325, nw = 1651 150506.0025.ec.fits: ap = 37, w1 = 6438.536, w2 = 6302.71, dw = -0.08232, nw = 1651 150506.0025.ec.fits: ap = 38, w1 = 6367.004, w2 = 6232.689, dw = -0.0814, nw = 1651 150506.0025.ec.fits: ap = 39, w1 = 6297.045, w2 = 6164.207, dw = -0.08051, nw = 1651 150506.0025.ec.fits: ap = 40, w1 = 6228.607, w2 = 6097.214, dw = -0.07963, nw = 1651 150506.0025.ec.fits: ap = 41, w1 = 6161.64, w2 = 6031.661, dw = -0.07878, nw = 1651 150506.0025.ec.fits: ap = 42, w1 = 6096.098, w2 = 5967.504, dw = -0.07794, nw = 1651 150506.0025.ec.fits: ap = 43, w1 = 6031.937, w2 = 5904.697, dw = -0.07712, nw = 1651 150506.0025.ec.fits: ap = 44, w1 = 5969.112, w2 = 5843.198, dw = -0.07631, nw = 1651 150506.0025.ec.fits: ap = 45, w1 = 5907.582, w2 = 5782.968, dw = -0.07552, nw = 1651 150506.0025.ec.fits: ap = 46, w1 = 5847.308, w2 = 5723.967, dw = -0.07475, nw = 1651 150506.0025.ec.fits: ap = 47, w1 = 5788.252, w2 = 5666.158, dw = -0.074, nw = 1651 150506.0025.ec.fits: ap = 48, w1 = 5730.377, w2 = 5609.505, dw = -0.07326, nw = 1651 150506.0025.ec.fits: ap = 49, w1 = 5673.648, w2 = 5553.974, dw = -0.07253, nw = 1651 150506.0025.ec.fits: ap = 50, w1 = 5618.032, w2 = 5499.532, dw = -0.07182, nw = 1651 150506.0025.ec.fits: ap = 51, w1 = 5563.495, w2 = 5446.148, dw = -0.07112, nw = 1651 150506.0025.ec.fits: ap = 52, w1 = 5510.008, w2 = 5393.79, dw = -0.07043, nw = 1651 150506.0025.ec.fits: ap = 53, w1 = 5457.539, w2 = 5342.43, dw = -0.06976, nw = 1651 150506.0025.ec.fits: ap = 54, w1 = 5406.06, w2 = 5292.039, dw = -0.0691, nw = 1651 150506.0025.ec.fits: ap = 55, w1 = 5355.544, w2 = 5242.589, dw = -0.06846, nw = 1651 150506.0025.ec.fits: ap = 56, w1 = 5305.964, w2 = 5194.056, dw = -0.06782, nw = 1651 150506.0025.ec.fits: ap = 57, w1 = 5257.293, w2 = 5146.414, dw = -0.0672, nw = 1651 150506.0025.ec.fits: ap = 58, w1 = 5209.507, w2 = 5099.637, dw = -0.06659, nw = 1651 150506.0025.ec.fits: ap = 59, w1 = 5162.582, w2 = 5053.704, dw = -0.06599, nw = 1651 150506.0025.ec.fits: ap = 60, w1 = 5116.496, w2 = 5008.591, dw = -0.0654, nw = 1651 150506.0025.ec.fits: ap = 61, w1 = 5071.225, w2 = 4964.277, dw = -0.06482, nw = 1651 150506.0025.ec.fits: ap = 62, w1 = 5026.749, w2 = 4920.741, dw = -0.06425, nw = 1651 150506.0025.ec.fits: ap = 63, w1 = 4983.046, w2 = 4877.962, dw = -0.06369, nw = 1651 150506.0025.ec.fits: ap = 64, w1 = 4940.097, w2 = 4835.92, dw = -0.06314, nw = 1651 150506.0025.ec.fits: ap = 65, w1 = 4897.882, w2 = 4794.598, dw = -0.0626, nw = 1651 150506.0025.ec.fits: ap = 66, w1 = 4856.383, w2 = 4753.976, dw = -0.06207, nw = 1651 150506.0025.ec.fits: ap = 67, w1 = 4815.582, w2 = 4714.037, dw = -0.06154, nw = 1651 150506.0025.ec.fits: ap = 68, w1 = 4775.461, w2 = 4674.763, dw = -0.06103, nw = 1651 150506.0025.ec.fits: ap = 69, w1 = 4736.003, w2 = 4636.14, dw = -0.06052, nw = 1651 150506.0025.ec.fits: ap = 70, w1 = 4697.192, w2 = 4598.149, dw = -0.06003, nw = 1651 150506.0025.ec.fits: ap = 71, w1 = 4659.012, w2 = 4560.777, dw = -0.05954, nw = 1651 150506.0025.ec.fits: ap = 72, w1 = 4621.449, w2 = 4524.007, dw = -0.05906, nw = 1651 150506.0025.ec.fits: ap = 73, w1 = 4584.486, w2 = 4487.826, dw = -0.05858, nw = 1651 150506.0025.ec.fits: ap = 74, w1 = 4548.111, w2 = 4452.22, dw = -0.05812, nw = 1651 150506.0025.ec.fits: ap = 75, w1 = 4512.308, w2 = 4417.175, dw = -0.05766, nw = 1651 150506.0025.ec.fits: ap = 76, w1 = 4477.065, w2 = 4382.677, dw = -0.05721, nw = 1651 150506.0025.ec.fits: ap = 77, w1 = 4442.369, w2 = 4348.714, dw = -0.05676, nw = 1651 150506.0025.ec.fits: ap = 78, w1 = 4408.207, w2 = 4315.275, dw = -0.05632, nw = 1651 150506.0025.ec.fits: ap = 79, w1 = 4374.566, w2 = 4282.346, dw = -0.05589, nw = 1651 150506.0025.ec.fits: ap = 80, w1 = 4341.436, w2 = 4249.916, dw = -0.05547, nw = 1651 150506.0025.ec.fits: ap = 81, w1 = 4308.803, w2 = 4217.974, dw = -0.05505, nw = 1651 150506.0025.ec.fits: ap = 82, w1 = 4276.659, w2 = 4186.509, dw = -0.05464, nw = 1651 150506.0025.ec.fits: ap = 83, w1 = 4244.99, w2 = 4155.511, dw = -0.05423, nw = 1651 150506.0025.ec.fits: ap = 84, w1 = 4213.788, w2 = 4124.968, dw = -0.05383, nw = 1651 150506.0025.ec.fits: ap = 85, w1 = 4183.041, w2 = 4094.872, dw = -0.05344, nw = 1651 150506.0025.ec.fits: ap = 86, w1 = 4152.74, w2 = 4065.212, dw = -0.05305, nw = 1651 150506.0025.ec.fits: ap = 87, w1 = 4122.875, w2 = 4035.979, dw = -0.05266, nw = 1651 150506.0025.ec.fits: ap = 88, w1 = 4093.438, w2 = 4007.165, dw = -0.05229, nw = 1651 150506.0025.ec.fits: ap = 89, w1 = 4064.418, w2 = 3978.759, dw = -0.05191, nw = 1651 150506.0025.ec.fits: ap = 90, w1 = 4035.807, w2 = 3950.753, dw = -0.05155, nw = 1651 150506.0025.ec.fits: ap = 91, w1 = 4007.596, w2 = 3923.14, dw = -0.05119, nw = 1651 150506.0025.ec.fits: ap = 92, w1 = 3979.778, w2 = 3895.91, dw = -0.05083, nw = 1651 150506.0025.ec.fits: ap = 93, w1 = 3952.343, w2 = 3869.056, dw = -0.05048, nw = 1651 150506.0025.ec.fits: ap = 94, w1 = 3925.285, w2 = 3842.57, dw = -0.05013, nw = 1651 150506.0025.ec.fits: ap = 95, w1 = 3898.595, w2 = 3816.445, dw = -0.04979, nw = 1651 150506.0025.ec.fits: ap = 96, w1 = 3872.266, w2 = 3790.673, dw = -0.04945, nw = 1651 150506.0025.ec.fits: ap = 97, w1 = 3846.29, w2 = 3765.248, dw = -0.04912, nw = 1651 150506.0025.ec.fits: ap = 98, w1 = 3820.662, w2 = 3740.161, dw = -0.04879, nw = 1651 150506.0025.ec.fits: ap = 99, w1 = 3795.373, w2 = 3715.408, dw = -0.04846, nw = 1651 150506.0025.ec.fits: ap = 100, w1 = 3770.417, w2 = 3690.98, dw = -0.04814, nw = 1651 150506.0025.ec.fits: ap = 101, w1 = 3745.787, w2 = 3666.872, dw = -0.04783, nw = 1651 150506.0025.ec.fits: ap = 102, w1 = 3721.478, w2 = 3643.077, dw = -0.04752, nw = 1651 150506.0025.ec.fits: ap = 103, w1 = 3697.483, w2 = 3619.589, dw = -0.04721, nw = 1651 150506.0025.ec.fits: ap = 104, w1 = 3673.795, w2 = 3596.403, dw = -0.0469, nw = 1651 150506.0025.ec.fits: ap = 105, w1 = 3650.41, w2 = 3573.513, dw = -0.0466, nw = 1651 150506.0025.ec.fits: ap = 106, w1 = 3627.321, w2 = 3550.913, dw = -0.04631, nw = 1651 150506.0025.ec.fits: ap = 107, w1 = 3604.523, w2 = 3528.597, dw = -0.04602, nw = 1651 150506.0025.ec.fits: ap = 108, w1 = 3582.01, w2 = 3506.56, dw = -0.04573, nw = 1651 150506.0025.ec.fits: ap = 109, w1 = 3559.777, w2 = 3484.798, dw = -0.04544, nw = 1651 150506.0025.ec.fits: ap = 110, w1 = 3537.819, w2 = 3463.304, dw = -0.04516, nw = 1651 150506.0025.ec.fits: ap = 111, w1 = 3516.131, w2 = 3442.075, dw = -0.04488, nw = 1651 150506.0025.ec.fits: ap = 112, w1 = 3494.707, w2 = 3421.105, dw = -0.04461, nw = 1651 150506.0025.ec.fits: ap = 113, w1 = 3473.544, w2 = 3400.389, dw = -0.04434, nw = 1651 150506.0025.ec.fits: ap = 114, w1 = 3452.636, w2 = 3379.923, dw = -0.04407, nw = 1651 150506.0025.ec.fits: ap = 115, w1 = 3431.978, w2 = 3359.703, dw = -0.0438, nw = 1651 150506.0026.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' 150506.0026.ec.fits: ap = 1, w1 = 10811.35, w2 = 10583.14, dw = -0.13831, nw = 1651 150506.0026.ec.fits: ap = 2, w1 = 10611.16, w2 = 10387.18, dw = -0.13575, nw = 1651 150506.0026.ec.fits: ap = 3, w1 = 10418.24, w2 = 10198.34, dw = -0.13327, nw = 1651 150506.0026.ec.fits: ap = 4, w1 = 10232.22, w2 = 10016.25, dw = -0.13089, nw = 1651 150506.0026.ec.fits: ap = 5, w1 = 10052.72, w2 = 9840.549, dw = -0.12859, nw = 1651 150506.0026.ec.fits: ap = 6, w1 = 9879.416, w2 = 9670.905, dw = -0.12637, nw = 1651 150506.0026.ec.fits: ap = 7, w1 = 9711.983, w2 = 9507.012, dw = -0.12423, nw = 1651 150506.0026.ec.fits: ap = 8, w1 = 9550.131, w2 = 9348.581, dw = -0.12215, nw = 1651 150506.0026.ec.fits: ap = 9, w1 = 9393.586, w2 = 9195.344, dw = -0.12015, nw = 1651 150506.0026.ec.fits: ap = 10, w1 = 9242.09, w2 = 9047.049, dw = -0.11821, nw = 1651 150506.0026.ec.fits: ap = 11, w1 = 9095.403, w2 = 8903.463, dw = -0.11633, nw = 1651 150506.0026.ec.fits: ap = 12, w1 = 8953.301, w2 = 8764.363, dw = -0.11451, nw = 1651 150506.0026.ec.fits: ap = 13, w1 = 8815.57, w2 = 8629.542, dw = -0.11274, nw = 1651 150506.0026.ec.fits: ap = 14, w1 = 8682.013, w2 = 8498.807, dw = -0.11103, nw = 1651 150506.0026.ec.fits: ap = 15, w1 = 8552.442, w2 = 8371.974, dw = -0.10937, nw = 1651 150506.0026.ec.fits: ap = 16, w1 = 8426.683, w2 = 8248.871, dw = -0.10776, nw = 1651 150506.0026.ec.fits: ap = 17, w1 = 8304.568, w2 = 8129.336, dw = -0.1062, nw = 1651 150506.0026.ec.fits: ap = 18, w1 = 8185.942, w2 = 8013.216, dw = -0.10468, nw = 1651 150506.0026.ec.fits: ap = 19, w1 = 8070.658, w2 = 7900.367, dw = -0.10321, nw = 1651 150506.0026.ec.fits: ap = 20, w1 = 7958.576, w2 = 7790.652, dw = -0.10177, nw = 1651 150506.0026.ec.fits: ap = 21, w1 = 7849.565, w2 = 7683.943, dw = -0.10038, nw = 1651 150506.0026.ec.fits: ap = 22, w1 = 7743.5, w2 = 7580.118, dw = -0.09902, nw = 1651 150506.0026.ec.fits: ap = 23, w1 = 7640.263, w2 = 7479.062, dw = -0.0977, nw = 1651 150506.0026.ec.fits: ap = 24, w1 = 7539.743, w2 = 7380.664, dw = -0.09641, nw = 1651 150506.0026.ec.fits: ap = 25, w1 = 7441.833, w2 = 7284.823, dw = -0.09516, nw = 1651 150506.0026.ec.fits: ap = 26, w1 = 7346.434, w2 = 7191.438, dw = -0.09394, nw = 1651 150506.0026.ec.fits: ap = 27, w1 = 7253.451, w2 = 7100.418, dw = -0.09275, nw = 1651 150506.0026.ec.fits: ap = 28, w1 = 7162.792, w2 = 7011.673, dw = -0.09159, nw = 1651 150506.0026.ec.fits: ap = 29, w1 = 7074.371, w2 = 6925.12, dw = -0.09046, nw = 1651 150506.0026.ec.fits: ap = 30, w1 = 6988.107, w2 = 6840.677, dw = -0.08935, nw = 1651 150506.0026.ec.fits: ap = 31, w1 = 6903.921, w2 = 6758.269, dw = -0.08827, nw = 1651 150506.0026.ec.fits: ap = 32, w1 = 6821.74, w2 = 6677.823, dw = -0.08722, nw = 1651 150506.0026.ec.fits: ap = 33, w1 = 6741.492, w2 = 6599.27, dw = -0.0862, nw = 1651 150506.0026.ec.fits: ap = 34, w1 = 6663.111, w2 = 6522.544, dw = -0.08519, nw = 1651 150506.0026.ec.fits: ap = 35, w1 = 6586.532, w2 = 6447.582, dw = -0.08421, nw = 1651 150506.0026.ec.fits: ap = 36, w1 = 6511.693, w2 = 6374.323, dw = -0.08325, nw = 1651 150506.0026.ec.fits: ap = 37, w1 = 6438.536, w2 = 6302.71, dw = -0.08232, nw = 1651 150506.0026.ec.fits: ap = 38, w1 = 6367.004, w2 = 6232.689, dw = -0.0814, nw = 1651 150506.0026.ec.fits: ap = 39, w1 = 6297.045, w2 = 6164.207, dw = -0.08051, nw = 1651 150506.0026.ec.fits: ap = 40, w1 = 6228.607, w2 = 6097.214, dw = -0.07963, nw = 1651 150506.0026.ec.fits: ap = 41, w1 = 6161.64, w2 = 6031.661, dw = -0.07878, nw = 1651 150506.0026.ec.fits: ap = 42, w1 = 6096.098, w2 = 5967.504, dw = -0.07794, nw = 1651 150506.0026.ec.fits: ap = 43, w1 = 6031.937, w2 = 5904.697, dw = -0.07712, nw = 1651 150506.0026.ec.fits: ap = 44, w1 = 5969.112, w2 = 5843.198, dw = -0.07631, nw = 1651 150506.0026.ec.fits: ap = 45, w1 = 5907.582, w2 = 5782.968, dw = -0.07552, nw = 1651 150506.0026.ec.fits: ap = 46, w1 = 5847.308, w2 = 5723.967, dw = -0.07475, nw = 1651 150506.0026.ec.fits: ap = 47, w1 = 5788.252, w2 = 5666.158, dw = -0.074, nw = 1651 150506.0026.ec.fits: ap = 48, w1 = 5730.377, w2 = 5609.505, dw = -0.07326, nw = 1651 150506.0026.ec.fits: ap = 49, w1 = 5673.648, w2 = 5553.974, dw = -0.07253, nw = 1651 150506.0026.ec.fits: ap = 50, w1 = 5618.032, w2 = 5499.532, dw = -0.07182, nw = 1651 150506.0026.ec.fits: ap = 51, w1 = 5563.495, w2 = 5446.148, dw = -0.07112, nw = 1651 150506.0026.ec.fits: ap = 52, w1 = 5510.008, w2 = 5393.79, dw = -0.07043, nw = 1651 150506.0026.ec.fits: ap = 53, w1 = 5457.539, w2 = 5342.43, dw = -0.06976, nw = 1651 150506.0026.ec.fits: ap = 54, w1 = 5406.06, w2 = 5292.039, dw = -0.0691, nw = 1651 150506.0026.ec.fits: ap = 55, w1 = 5355.544, w2 = 5242.589, dw = -0.06846, nw = 1651 150506.0026.ec.fits: ap = 56, w1 = 5305.964, w2 = 5194.056, dw = -0.06782, nw = 1651 150506.0026.ec.fits: ap = 57, w1 = 5257.293, w2 = 5146.414, dw = -0.0672, nw = 1651 150506.0026.ec.fits: ap = 58, w1 = 5209.507, w2 = 5099.637, dw = -0.06659, nw = 1651 150506.0026.ec.fits: ap = 59, w1 = 5162.582, w2 = 5053.704, dw = -0.06599, nw = 1651 150506.0026.ec.fits: ap = 60, w1 = 5116.496, w2 = 5008.591, dw = -0.0654, nw = 1651 150506.0026.ec.fits: ap = 61, w1 = 5071.225, w2 = 4964.277, dw = -0.06482, nw = 1651 150506.0026.ec.fits: ap = 62, w1 = 5026.749, w2 = 4920.741, dw = -0.06425, nw = 1651 150506.0026.ec.fits: ap = 63, w1 = 4983.046, w2 = 4877.962, dw = -0.06369, nw = 1651 150506.0026.ec.fits: ap = 64, w1 = 4940.097, w2 = 4835.92, dw = -0.06314, nw = 1651 150506.0026.ec.fits: ap = 65, w1 = 4897.882, w2 = 4794.598, dw = -0.0626, nw = 1651 150506.0026.ec.fits: ap = 66, w1 = 4856.383, w2 = 4753.976, dw = -0.06207, nw = 1651 150506.0026.ec.fits: ap = 67, w1 = 4815.582, w2 = 4714.037, dw = -0.06154, nw = 1651 150506.0026.ec.fits: ap = 68, w1 = 4775.461, w2 = 4674.763, dw = -0.06103, nw = 1651 150506.0026.ec.fits: ap = 69, w1 = 4736.003, w2 = 4636.14, dw = -0.06052, nw = 1651 150506.0026.ec.fits: ap = 70, w1 = 4697.192, w2 = 4598.149, dw = -0.06003, nw = 1651 150506.0026.ec.fits: ap = 71, w1 = 4659.012, w2 = 4560.777, dw = -0.05954, nw = 1651 150506.0026.ec.fits: ap = 72, w1 = 4621.449, w2 = 4524.007, dw = -0.05906, nw = 1651 150506.0026.ec.fits: ap = 73, w1 = 4584.486, w2 = 4487.826, dw = -0.05858, nw = 1651 150506.0026.ec.fits: ap = 74, w1 = 4548.111, w2 = 4452.22, dw = -0.05812, nw = 1651 150506.0026.ec.fits: ap = 75, w1 = 4512.308, w2 = 4417.175, dw = -0.05766, nw = 1651 150506.0026.ec.fits: ap = 76, w1 = 4477.065, w2 = 4382.677, dw = -0.05721, nw = 1651 150506.0026.ec.fits: ap = 77, w1 = 4442.369, w2 = 4348.714, dw = -0.05676, nw = 1651 150506.0026.ec.fits: ap = 78, w1 = 4408.207, w2 = 4315.275, dw = -0.05632, nw = 1651 150506.0026.ec.fits: ap = 79, w1 = 4374.566, w2 = 4282.346, dw = -0.05589, nw = 1651 150506.0026.ec.fits: ap = 80, w1 = 4341.436, w2 = 4249.916, dw = -0.05547, nw = 1651 150506.0026.ec.fits: ap = 81, w1 = 4308.803, w2 = 4217.974, dw = -0.05505, nw = 1651 150506.0026.ec.fits: ap = 82, w1 = 4276.659, w2 = 4186.509, dw = -0.05464, nw = 1651 150506.0026.ec.fits: ap = 83, w1 = 4244.99, w2 = 4155.511, dw = -0.05423, nw = 1651 150506.0026.ec.fits: ap = 84, w1 = 4213.788, w2 = 4124.968, dw = -0.05383, nw = 1651 150506.0026.ec.fits: ap = 85, w1 = 4183.041, w2 = 4094.872, dw = -0.05344, nw = 1651 150506.0026.ec.fits: ap = 86, w1 = 4152.74, w2 = 4065.212, dw = -0.05305, nw = 1651 150506.0026.ec.fits: ap = 87, w1 = 4122.875, w2 = 4035.979, dw = -0.05266, nw = 1651 150506.0026.ec.fits: ap = 88, w1 = 4093.438, w2 = 4007.165, dw = -0.05229, nw = 1651 150506.0026.ec.fits: ap = 89, w1 = 4064.418, w2 = 3978.759, dw = -0.05191, nw = 1651 150506.0026.ec.fits: ap = 90, w1 = 4035.807, w2 = 3950.753, dw = -0.05155, nw = 1651 150506.0026.ec.fits: ap = 91, w1 = 4007.596, w2 = 3923.14, dw = -0.05119, nw = 1651 150506.0026.ec.fits: ap = 92, w1 = 3979.778, w2 = 3895.91, dw = -0.05083, nw = 1651 150506.0026.ec.fits: ap = 93, w1 = 3952.343, w2 = 3869.056, dw = -0.05048, nw = 1651 150506.0026.ec.fits: ap = 94, w1 = 3925.285, w2 = 3842.57, dw = -0.05013, nw = 1651 150506.0026.ec.fits: ap = 95, w1 = 3898.595, w2 = 3816.445, dw = -0.04979, nw = 1651 150506.0026.ec.fits: ap = 96, w1 = 3872.266, w2 = 3790.673, dw = -0.04945, nw = 1651 150506.0026.ec.fits: ap = 97, w1 = 3846.29, w2 = 3765.248, dw = -0.04912, nw = 1651 150506.0026.ec.fits: ap = 98, w1 = 3820.662, w2 = 3740.161, dw = -0.04879, nw = 1651 150506.0026.ec.fits: ap = 99, w1 = 3795.373, w2 = 3715.408, dw = -0.04846, nw = 1651 150506.0026.ec.fits: ap = 100, w1 = 3770.417, w2 = 3690.98, dw = -0.04814, nw = 1651 150506.0026.ec.fits: ap = 101, w1 = 3745.787, w2 = 3666.872, dw = -0.04783, nw = 1651 150506.0026.ec.fits: ap = 102, w1 = 3721.478, w2 = 3643.077, dw = -0.04752, nw = 1651 150506.0026.ec.fits: ap = 103, w1 = 3697.483, w2 = 3619.589, dw = -0.04721, nw = 1651 150506.0026.ec.fits: ap = 104, w1 = 3673.795, w2 = 3596.403, dw = -0.0469, nw = 1651 150506.0026.ec.fits: ap = 105, w1 = 3650.41, w2 = 3573.513, dw = -0.0466, nw = 1651 150506.0026.ec.fits: ap = 106, w1 = 3627.321, w2 = 3550.913, dw = -0.04631, nw = 1651 150506.0026.ec.fits: ap = 107, w1 = 3604.523, w2 = 3528.597, dw = -0.04602, nw = 1651 150506.0026.ec.fits: ap = 108, w1 = 3582.01, w2 = 3506.56, dw = -0.04573, nw = 1651 150506.0026.ec.fits: ap = 109, w1 = 3559.777, w2 = 3484.798, dw = -0.04544, nw = 1651 150506.0026.ec.fits: ap = 110, w1 = 3537.819, w2 = 3463.304, dw = -0.04516, nw = 1651 150506.0026.ec.fits: ap = 111, w1 = 3516.131, w2 = 3442.075, dw = -0.04488, nw = 1651 150506.0026.ec.fits: ap = 112, w1 = 3494.707, w2 = 3421.105, dw = -0.04461, nw = 1651 150506.0026.ec.fits: ap = 113, w1 = 3473.544, w2 = 3400.389, dw = -0.04434, nw = 1651 150506.0026.ec.fits: ap = 114, w1 = 3452.636, w2 = 3379.923, dw = -0.04407, nw = 1651 150506.0026.ec.fits: ap = 115, w1 = 3431.978, w2 = 3359.703, dw = -0.0438, nw = 1651 150506.0027.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' 150506.0027.ec.fits: ap = 1, w1 = 10811.35, w2 = 10583.14, dw = -0.13831, nw = 1651 150506.0027.ec.fits: ap = 2, w1 = 10611.16, w2 = 10387.18, dw = -0.13575, nw = 1651 150506.0027.ec.fits: ap = 3, w1 = 10418.24, w2 = 10198.34, dw = -0.13327, nw = 1651 150506.0027.ec.fits: ap = 4, w1 = 10232.22, w2 = 10016.25, dw = -0.13089, nw = 1651 150506.0027.ec.fits: ap = 5, w1 = 10052.72, w2 = 9840.549, dw = -0.12859, nw = 1651 150506.0027.ec.fits: ap = 6, w1 = 9879.416, w2 = 9670.905, dw = -0.12637, nw = 1651 150506.0027.ec.fits: ap = 7, w1 = 9711.983, w2 = 9507.012, dw = -0.12423, nw = 1651 150506.0027.ec.fits: ap = 8, w1 = 9550.131, w2 = 9348.581, dw = -0.12215, nw = 1651 150506.0027.ec.fits: ap = 9, w1 = 9393.586, w2 = 9195.344, dw = -0.12015, nw = 1651 150506.0027.ec.fits: ap = 10, w1 = 9242.09, w2 = 9047.049, dw = -0.11821, nw = 1651 150506.0027.ec.fits: ap = 11, w1 = 9095.403, w2 = 8903.463, dw = -0.11633, nw = 1651 150506.0027.ec.fits: ap = 12, w1 = 8953.301, w2 = 8764.363, dw = -0.11451, nw = 1651 150506.0027.ec.fits: ap = 13, w1 = 8815.57, w2 = 8629.542, dw = -0.11274, nw = 1651 150506.0027.ec.fits: ap = 14, w1 = 8682.013, w2 = 8498.807, dw = -0.11103, nw = 1651 150506.0027.ec.fits: ap = 15, w1 = 8552.442, w2 = 8371.974, dw = -0.10937, nw = 1651 150506.0027.ec.fits: ap = 16, w1 = 8426.683, w2 = 8248.871, dw = -0.10776, nw = 1651 150506.0027.ec.fits: ap = 17, w1 = 8304.568, w2 = 8129.336, dw = -0.1062, nw = 1651 150506.0027.ec.fits: ap = 18, w1 = 8185.942, w2 = 8013.216, dw = -0.10468, nw = 1651 150506.0027.ec.fits: ap = 19, w1 = 8070.658, w2 = 7900.367, dw = -0.10321, nw = 1651 150506.0027.ec.fits: ap = 20, w1 = 7958.576, w2 = 7790.652, dw = -0.10177, nw = 1651 150506.0027.ec.fits: ap = 21, w1 = 7849.565, w2 = 7683.943, dw = -0.10038, nw = 1651 150506.0027.ec.fits: ap = 22, w1 = 7743.5, w2 = 7580.118, dw = -0.09902, nw = 1651 150506.0027.ec.fits: ap = 23, w1 = 7640.263, w2 = 7479.062, dw = -0.0977, nw = 1651 150506.0027.ec.fits: ap = 24, w1 = 7539.743, w2 = 7380.664, dw = -0.09641, nw = 1651 150506.0027.ec.fits: ap = 25, w1 = 7441.833, w2 = 7284.823, dw = -0.09516, nw = 1651 150506.0027.ec.fits: ap = 26, w1 = 7346.434, w2 = 7191.438, dw = -0.09394, nw = 1651 150506.0027.ec.fits: ap = 27, w1 = 7253.451, w2 = 7100.418, dw = -0.09275, nw = 1651 150506.0027.ec.fits: ap = 28, w1 = 7162.792, w2 = 7011.673, dw = -0.09159, nw = 1651 150506.0027.ec.fits: ap = 29, w1 = 7074.371, w2 = 6925.12, dw = -0.09046, nw = 1651 150506.0027.ec.fits: ap = 30, w1 = 6988.107, w2 = 6840.677, dw = -0.08935, nw = 1651 150506.0027.ec.fits: ap = 31, w1 = 6903.921, w2 = 6758.269, dw = -0.08827, nw = 1651 150506.0027.ec.fits: ap = 32, w1 = 6821.74, w2 = 6677.823, dw = -0.08722, nw = 1651 150506.0027.ec.fits: ap = 33, w1 = 6741.492, w2 = 6599.27, dw = -0.0862, nw = 1651 150506.0027.ec.fits: ap = 34, w1 = 6663.111, w2 = 6522.544, dw = -0.08519, nw = 1651 150506.0027.ec.fits: ap = 35, w1 = 6586.532, w2 = 6447.582, dw = -0.08421, nw = 1651 150506.0027.ec.fits: ap = 36, w1 = 6511.693, w2 = 6374.323, dw = -0.08325, nw = 1651 150506.0027.ec.fits: ap = 37, w1 = 6438.536, w2 = 6302.71, dw = -0.08232, nw = 1651 150506.0027.ec.fits: ap = 38, w1 = 6367.004, w2 = 6232.689, dw = -0.0814, nw = 1651 150506.0027.ec.fits: ap = 39, w1 = 6297.045, w2 = 6164.207, dw = -0.08051, nw = 1651 150506.0027.ec.fits: ap = 40, w1 = 6228.607, w2 = 6097.214, dw = -0.07963, nw = 1651 150506.0027.ec.fits: ap = 41, w1 = 6161.64, w2 = 6031.661, dw = -0.07878, nw = 1651 150506.0027.ec.fits: ap = 42, w1 = 6096.098, w2 = 5967.504, dw = -0.07794, nw = 1651 150506.0027.ec.fits: ap = 43, w1 = 6031.937, w2 = 5904.697, dw = -0.07712, nw = 1651 150506.0027.ec.fits: ap = 44, w1 = 5969.112, w2 = 5843.198, dw = -0.07631, nw = 1651 150506.0027.ec.fits: ap = 45, w1 = 5907.582, w2 = 5782.968, dw = -0.07552, nw = 1651 150506.0027.ec.fits: ap = 46, w1 = 5847.308, w2 = 5723.967, dw = -0.07475, nw = 1651 150506.0027.ec.fits: ap = 47, w1 = 5788.252, w2 = 5666.158, dw = -0.074, nw = 1651 150506.0027.ec.fits: ap = 48, w1 = 5730.377, w2 = 5609.505, dw = -0.07326, nw = 1651 150506.0027.ec.fits: ap = 49, w1 = 5673.648, w2 = 5553.974, dw = -0.07253, nw = 1651 150506.0027.ec.fits: ap = 50, w1 = 5618.032, w2 = 5499.532, dw = -0.07182, nw = 1651 150506.0027.ec.fits: ap = 51, w1 = 5563.495, w2 = 5446.148, dw = -0.07112, nw = 1651 150506.0027.ec.fits: ap = 52, w1 = 5510.008, w2 = 5393.79, dw = -0.07043, nw = 1651 150506.0027.ec.fits: ap = 53, w1 = 5457.539, w2 = 5342.43, dw = -0.06976, nw = 1651 150506.0027.ec.fits: ap = 54, w1 = 5406.06, w2 = 5292.039, dw = -0.0691, nw = 1651 150506.0027.ec.fits: ap = 55, w1 = 5355.544, w2 = 5242.589, dw = -0.06846, nw = 1651 150506.0027.ec.fits: ap = 56, w1 = 5305.964, w2 = 5194.056, dw = -0.06782, nw = 1651 150506.0027.ec.fits: ap = 57, w1 = 5257.293, w2 = 5146.414, dw = -0.0672, nw = 1651 150506.0027.ec.fits: ap = 58, w1 = 5209.507, w2 = 5099.637, dw = -0.06659, nw = 1651 150506.0027.ec.fits: ap = 59, w1 = 5162.582, w2 = 5053.704, dw = -0.06599, nw = 1651 150506.0027.ec.fits: ap = 60, w1 = 5116.496, w2 = 5008.591, dw = -0.0654, nw = 1651 150506.0027.ec.fits: ap = 61, w1 = 5071.225, w2 = 4964.277, dw = -0.06482, nw = 1651 150506.0027.ec.fits: ap = 62, w1 = 5026.749, w2 = 4920.741, dw = -0.06425, nw = 1651 150506.0027.ec.fits: ap = 63, w1 = 4983.046, w2 = 4877.962, dw = -0.06369, nw = 1651 150506.0027.ec.fits: ap = 64, w1 = 4940.097, w2 = 4835.92, dw = -0.06314, nw = 1651 150506.0027.ec.fits: ap = 65, w1 = 4897.882, w2 = 4794.598, dw = -0.0626, nw = 1651 150506.0027.ec.fits: ap = 66, w1 = 4856.383, w2 = 4753.976, dw = -0.06207, nw = 1651 150506.0027.ec.fits: ap = 67, w1 = 4815.582, w2 = 4714.037, dw = -0.06154, nw = 1651 150506.0027.ec.fits: ap = 68, w1 = 4775.461, w2 = 4674.763, dw = -0.06103, nw = 1651 150506.0027.ec.fits: ap = 69, w1 = 4736.003, w2 = 4636.14, dw = -0.06052, nw = 1651 150506.0027.ec.fits: ap = 70, w1 = 4697.192, w2 = 4598.149, dw = -0.06003, nw = 1651 150506.0027.ec.fits: ap = 71, w1 = 4659.012, w2 = 4560.777, dw = -0.05954, nw = 1651 150506.0027.ec.fits: ap = 72, w1 = 4621.449, w2 = 4524.007, dw = -0.05906, nw = 1651 150506.0027.ec.fits: ap = 73, w1 = 4584.486, w2 = 4487.826, dw = -0.05858, nw = 1651 150506.0027.ec.fits: ap = 74, w1 = 4548.111, w2 = 4452.22, dw = -0.05812, nw = 1651 150506.0027.ec.fits: ap = 75, w1 = 4512.308, w2 = 4417.175, dw = -0.05766, nw = 1651 150506.0027.ec.fits: ap = 76, w1 = 4477.065, w2 = 4382.677, dw = -0.05721, nw = 1651 150506.0027.ec.fits: ap = 77, w1 = 4442.369, w2 = 4348.714, dw = -0.05676, nw = 1651 150506.0027.ec.fits: ap = 78, w1 = 4408.207, w2 = 4315.275, dw = -0.05632, nw = 1651 150506.0027.ec.fits: ap = 79, w1 = 4374.566, w2 = 4282.346, dw = -0.05589, nw = 1651 150506.0027.ec.fits: ap = 80, w1 = 4341.436, w2 = 4249.916, dw = -0.05547, nw = 1651 150506.0027.ec.fits: ap = 81, w1 = 4308.803, w2 = 4217.974, dw = -0.05505, nw = 1651 150506.0027.ec.fits: ap = 82, w1 = 4276.659, w2 = 4186.509, dw = -0.05464, nw = 1651 150506.0027.ec.fits: ap = 83, w1 = 4244.99, w2 = 4155.511, dw = -0.05423, nw = 1651 150506.0027.ec.fits: ap = 84, w1 = 4213.788, w2 = 4124.968, dw = -0.05383, nw = 1651 150506.0027.ec.fits: ap = 85, w1 = 4183.041, w2 = 4094.872, dw = -0.05344, nw = 1651 150506.0027.ec.fits: ap = 86, w1 = 4152.74, w2 = 4065.212, dw = -0.05305, nw = 1651 150506.0027.ec.fits: ap = 87, w1 = 4122.875, w2 = 4035.979, dw = -0.05266, nw = 1651 150506.0027.ec.fits: ap = 88, w1 = 4093.438, w2 = 4007.165, dw = -0.05229, nw = 1651 150506.0027.ec.fits: ap = 89, w1 = 4064.418, w2 = 3978.759, dw = -0.05191, nw = 1651 150506.0027.ec.fits: ap = 90, w1 = 4035.807, w2 = 3950.753, dw = -0.05155, nw = 1651 150506.0027.ec.fits: ap = 91, w1 = 4007.596, w2 = 3923.14, dw = -0.05119, nw = 1651 150506.0027.ec.fits: ap = 92, w1 = 3979.778, w2 = 3895.91, dw = -0.05083, nw = 1651 150506.0027.ec.fits: ap = 93, w1 = 3952.343, w2 = 3869.056, dw = -0.05048, nw = 1651 150506.0027.ec.fits: ap = 94, w1 = 3925.285, w2 = 3842.57, dw = -0.05013, nw = 1651 150506.0027.ec.fits: ap = 95, w1 = 3898.595, w2 = 3816.445, dw = -0.04979, nw = 1651 150506.0027.ec.fits: ap = 96, w1 = 3872.266, w2 = 3790.673, dw = -0.04945, nw = 1651 150506.0027.ec.fits: ap = 97, w1 = 3846.29, w2 = 3765.248, dw = -0.04912, nw = 1651 150506.0027.ec.fits: ap = 98, w1 = 3820.662, w2 = 3740.161, dw = -0.04879, nw = 1651 150506.0027.ec.fits: ap = 99, w1 = 3795.373, w2 = 3715.408, dw = -0.04846, nw = 1651 150506.0027.ec.fits: ap = 100, w1 = 3770.417, w2 = 3690.98, dw = -0.04814, nw = 1651 150506.0027.ec.fits: ap = 101, w1 = 3745.787, w2 = 3666.872, dw = -0.04783, nw = 1651 150506.0027.ec.fits: ap = 102, w1 = 3721.478, w2 = 3643.077, dw = -0.04752, nw = 1651 150506.0027.ec.fits: ap = 103, w1 = 3697.483, w2 = 3619.589, dw = -0.04721, nw = 1651 150506.0027.ec.fits: ap = 104, w1 = 3673.795, w2 = 3596.403, dw = -0.0469, nw = 1651 150506.0027.ec.fits: ap = 105, w1 = 3650.41, w2 = 3573.513, dw = -0.0466, nw = 1651 150506.0027.ec.fits: ap = 106, w1 = 3627.321, w2 = 3550.913, dw = -0.04631, nw = 1651 150506.0027.ec.fits: ap = 107, w1 = 3604.523, w2 = 3528.597, dw = -0.04602, nw = 1651 150506.0027.ec.fits: ap = 108, w1 = 3582.01, w2 = 3506.56, dw = -0.04573, nw = 1651 150506.0027.ec.fits: ap = 109, w1 = 3559.777, w2 = 3484.798, dw = -0.04544, nw = 1651 150506.0027.ec.fits: ap = 110, w1 = 3537.819, w2 = 3463.304, dw = -0.04516, nw = 1651 150506.0027.ec.fits: ap = 111, w1 = 3516.131, w2 = 3442.075, dw = -0.04488, nw = 1651 150506.0027.ec.fits: ap = 112, w1 = 3494.707, w2 = 3421.105, dw = -0.04461, nw = 1651 150506.0027.ec.fits: ap = 113, w1 = 3473.544, w2 = 3400.389, dw = -0.04434, nw = 1651 150506.0027.ec.fits: ap = 114, w1 = 3452.636, w2 = 3379.923, dw = -0.04407, nw = 1651 150506.0027.ec.fits: ap = 115, w1 = 3431.978, w2 = 3359.703, dw = -0.0438, nw = 1651 150506.0029.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' 150506.0029.ec.fits: ap = 1, w1 = 10811.35, w2 = 10583.14, dw = -0.13831, nw = 1651 150506.0029.ec.fits: ap = 2, w1 = 10611.16, w2 = 10387.18, dw = -0.13575, nw = 1651 150506.0029.ec.fits: ap = 3, w1 = 10418.24, w2 = 10198.34, dw = -0.13327, nw = 1651 150506.0029.ec.fits: ap = 4, w1 = 10232.22, w2 = 10016.25, dw = -0.13089, nw = 1651 150506.0029.ec.fits: ap = 5, w1 = 10052.72, w2 = 9840.549, dw = -0.12859, nw = 1651 150506.0029.ec.fits: ap = 6, w1 = 9879.416, w2 = 9670.905, dw = -0.12637, nw = 1651 150506.0029.ec.fits: ap = 7, w1 = 9711.983, w2 = 9507.012, dw = -0.12423, nw = 1651 150506.0029.ec.fits: ap = 8, w1 = 9550.131, w2 = 9348.581, dw = -0.12215, nw = 1651 150506.0029.ec.fits: ap = 9, w1 = 9393.586, w2 = 9195.344, dw = -0.12015, nw = 1651 150506.0029.ec.fits: ap = 10, w1 = 9242.09, w2 = 9047.049, dw = -0.11821, nw = 1651 150506.0029.ec.fits: ap = 11, w1 = 9095.403, w2 = 8903.463, dw = -0.11633, nw = 1651 150506.0029.ec.fits: ap = 12, w1 = 8953.301, w2 = 8764.363, dw = -0.11451, nw = 1651 150506.0029.ec.fits: ap = 13, w1 = 8815.57, w2 = 8629.542, dw = -0.11274, nw = 1651 150506.0029.ec.fits: ap = 14, w1 = 8682.013, w2 = 8498.807, dw = -0.11103, nw = 1651 150506.0029.ec.fits: ap = 15, w1 = 8552.442, w2 = 8371.974, dw = -0.10937, nw = 1651 150506.0029.ec.fits: ap = 16, w1 = 8426.683, w2 = 8248.871, dw = -0.10776, nw = 1651 150506.0029.ec.fits: ap = 17, w1 = 8304.568, w2 = 8129.336, dw = -0.1062, nw = 1651 150506.0029.ec.fits: ap = 18, w1 = 8185.942, w2 = 8013.216, dw = -0.10468, nw = 1651 150506.0029.ec.fits: ap = 19, w1 = 8070.658, w2 = 7900.367, dw = -0.10321, nw = 1651 150506.0029.ec.fits: ap = 20, w1 = 7958.576, w2 = 7790.652, dw = -0.10177, nw = 1651 150506.0029.ec.fits: ap = 21, w1 = 7849.565, w2 = 7683.943, dw = -0.10038, nw = 1651 150506.0029.ec.fits: ap = 22, w1 = 7743.5, w2 = 7580.118, dw = -0.09902, nw = 1651 150506.0029.ec.fits: ap = 23, w1 = 7640.263, w2 = 7479.062, dw = -0.0977, nw = 1651 150506.0029.ec.fits: ap = 24, w1 = 7539.743, w2 = 7380.664, dw = -0.09641, nw = 1651 150506.0029.ec.fits: ap = 25, w1 = 7441.833, w2 = 7284.823, dw = -0.09516, nw = 1651 150506.0029.ec.fits: ap = 26, w1 = 7346.434, w2 = 7191.438, dw = -0.09394, nw = 1651 150506.0029.ec.fits: ap = 27, w1 = 7253.451, w2 = 7100.418, dw = -0.09275, nw = 1651 150506.0029.ec.fits: ap = 28, w1 = 7162.792, w2 = 7011.673, dw = -0.09159, nw = 1651 150506.0029.ec.fits: ap = 29, w1 = 7074.371, w2 = 6925.12, dw = -0.09046, nw = 1651 150506.0029.ec.fits: ap = 30, w1 = 6988.107, w2 = 6840.677, dw = -0.08935, nw = 1651 150506.0029.ec.fits: ap = 31, w1 = 6903.921, w2 = 6758.269, dw = -0.08827, nw = 1651 150506.0029.ec.fits: ap = 32, w1 = 6821.74, w2 = 6677.823, dw = -0.08722, nw = 1651 150506.0029.ec.fits: ap = 33, w1 = 6741.492, w2 = 6599.27, dw = -0.0862, nw = 1651 150506.0029.ec.fits: ap = 34, w1 = 6663.111, w2 = 6522.544, dw = -0.08519, nw = 1651 150506.0029.ec.fits: ap = 35, w1 = 6586.532, w2 = 6447.582, dw = -0.08421, nw = 1651 150506.0029.ec.fits: ap = 36, w1 = 6511.693, w2 = 6374.323, dw = -0.08325, nw = 1651 150506.0029.ec.fits: ap = 37, w1 = 6438.536, w2 = 6302.71, dw = -0.08232, nw = 1651 150506.0029.ec.fits: ap = 38, w1 = 6367.004, w2 = 6232.689, dw = -0.0814, nw = 1651 150506.0029.ec.fits: ap = 39, w1 = 6297.045, w2 = 6164.207, dw = -0.08051, nw = 1651 150506.0029.ec.fits: ap = 40, w1 = 6228.607, w2 = 6097.214, dw = -0.07963, nw = 1651 150506.0029.ec.fits: ap = 41, w1 = 6161.64, w2 = 6031.661, dw = -0.07878, nw = 1651 150506.0029.ec.fits: ap = 42, w1 = 6096.098, w2 = 5967.504, dw = -0.07794, nw = 1651 150506.0029.ec.fits: ap = 43, w1 = 6031.937, w2 = 5904.697, dw = -0.07712, nw = 1651 150506.0029.ec.fits: ap = 44, w1 = 5969.112, w2 = 5843.198, dw = -0.07631, nw = 1651 150506.0029.ec.fits: ap = 45, w1 = 5907.582, w2 = 5782.968, dw = -0.07552, nw = 1651 150506.0029.ec.fits: ap = 46, w1 = 5847.308, w2 = 5723.967, dw = -0.07475, nw = 1651 150506.0029.ec.fits: ap = 47, w1 = 5788.252, w2 = 5666.158, dw = -0.074, nw = 1651 150506.0029.ec.fits: ap = 48, w1 = 5730.377, w2 = 5609.505, dw = -0.07326, nw = 1651 150506.0029.ec.fits: ap = 49, w1 = 5673.648, w2 = 5553.974, dw = -0.07253, nw = 1651 150506.0029.ec.fits: ap = 50, w1 = 5618.032, w2 = 5499.532, dw = -0.07182, nw = 1651 150506.0029.ec.fits: ap = 51, w1 = 5563.495, w2 = 5446.148, dw = -0.07112, nw = 1651 150506.0029.ec.fits: ap = 52, w1 = 5510.008, w2 = 5393.79, dw = -0.07043, nw = 1651 150506.0029.ec.fits: ap = 53, w1 = 5457.539, w2 = 5342.43, dw = -0.06976, nw = 1651 150506.0029.ec.fits: ap = 54, w1 = 5406.06, w2 = 5292.039, dw = -0.0691, nw = 1651 150506.0029.ec.fits: ap = 55, w1 = 5355.544, w2 = 5242.589, dw = -0.06846, nw = 1651 150506.0029.ec.fits: ap = 56, w1 = 5305.964, w2 = 5194.056, dw = -0.06782, nw = 1651 150506.0029.ec.fits: ap = 57, w1 = 5257.293, w2 = 5146.414, dw = -0.0672, nw = 1651 150506.0029.ec.fits: ap = 58, w1 = 5209.507, w2 = 5099.637, dw = -0.06659, nw = 1651 150506.0029.ec.fits: ap = 59, w1 = 5162.582, w2 = 5053.704, dw = -0.06599, nw = 1651 150506.0029.ec.fits: ap = 60, w1 = 5116.496, w2 = 5008.591, dw = -0.0654, nw = 1651 150506.0029.ec.fits: ap = 61, w1 = 5071.225, w2 = 4964.277, dw = -0.06482, nw = 1651 150506.0029.ec.fits: ap = 62, w1 = 5026.749, w2 = 4920.741, dw = -0.06425, nw = 1651 150506.0029.ec.fits: ap = 63, w1 = 4983.046, w2 = 4877.962, dw = -0.06369, nw = 1651 150506.0029.ec.fits: ap = 64, w1 = 4940.097, w2 = 4835.92, dw = -0.06314, nw = 1651 150506.0029.ec.fits: ap = 65, w1 = 4897.882, w2 = 4794.598, dw = -0.0626, nw = 1651 150506.0029.ec.fits: ap = 66, w1 = 4856.383, w2 = 4753.976, dw = -0.06207, nw = 1651 150506.0029.ec.fits: ap = 67, w1 = 4815.582, w2 = 4714.037, dw = -0.06154, nw = 1651 150506.0029.ec.fits: ap = 68, w1 = 4775.461, w2 = 4674.763, dw = -0.06103, nw = 1651 150506.0029.ec.fits: ap = 69, w1 = 4736.003, w2 = 4636.14, dw = -0.06052, nw = 1651 150506.0029.ec.fits: ap = 70, w1 = 4697.192, w2 = 4598.149, dw = -0.06003, nw = 1651 150506.0029.ec.fits: ap = 71, w1 = 4659.012, w2 = 4560.777, dw = -0.05954, nw = 1651 150506.0029.ec.fits: ap = 72, w1 = 4621.449, w2 = 4524.007, dw = -0.05906, nw = 1651 150506.0029.ec.fits: ap = 73, w1 = 4584.486, w2 = 4487.826, dw = -0.05858, nw = 1651 150506.0029.ec.fits: ap = 74, w1 = 4548.111, w2 = 4452.22, dw = -0.05812, nw = 1651 150506.0029.ec.fits: ap = 75, w1 = 4512.308, w2 = 4417.175, dw = -0.05766, nw = 1651 150506.0029.ec.fits: ap = 76, w1 = 4477.065, w2 = 4382.677, dw = -0.05721, nw = 1651 150506.0029.ec.fits: ap = 77, w1 = 4442.369, w2 = 4348.714, dw = -0.05676, nw = 1651 150506.0029.ec.fits: ap = 78, w1 = 4408.207, w2 = 4315.275, dw = -0.05632, nw = 1651 150506.0029.ec.fits: ap = 79, w1 = 4374.566, w2 = 4282.346, dw = -0.05589, nw = 1651 150506.0029.ec.fits: ap = 80, w1 = 4341.436, w2 = 4249.916, dw = -0.05547, nw = 1651 150506.0029.ec.fits: ap = 81, w1 = 4308.803, w2 = 4217.974, dw = -0.05505, nw = 1651 150506.0029.ec.fits: ap = 82, w1 = 4276.659, w2 = 4186.509, dw = -0.05464, nw = 1651 150506.0029.ec.fits: ap = 83, w1 = 4244.99, w2 = 4155.511, dw = -0.05423, nw = 1651 150506.0029.ec.fits: ap = 84, w1 = 4213.788, w2 = 4124.968, dw = -0.05383, nw = 1651 150506.0029.ec.fits: ap = 85, w1 = 4183.041, w2 = 4094.872, dw = -0.05344, nw = 1651 150506.0029.ec.fits: ap = 86, w1 = 4152.74, w2 = 4065.212, dw = -0.05305, nw = 1651 150506.0029.ec.fits: ap = 87, w1 = 4122.875, w2 = 4035.979, dw = -0.05266, nw = 1651 150506.0029.ec.fits: ap = 88, w1 = 4093.438, w2 = 4007.165, dw = -0.05229, nw = 1651 150506.0029.ec.fits: ap = 89, w1 = 4064.418, w2 = 3978.759, dw = -0.05191, nw = 1651 150506.0029.ec.fits: ap = 90, w1 = 4035.807, w2 = 3950.753, dw = -0.05155, nw = 1651 150506.0029.ec.fits: ap = 91, w1 = 4007.596, w2 = 3923.14, dw = -0.05119, nw = 1651 150506.0029.ec.fits: ap = 92, w1 = 3979.778, w2 = 3895.91, dw = -0.05083, nw = 1651 150506.0029.ec.fits: ap = 93, w1 = 3952.343, w2 = 3869.056, dw = -0.05048, nw = 1651 150506.0029.ec.fits: ap = 94, w1 = 3925.285, w2 = 3842.57, dw = -0.05013, nw = 1651 150506.0029.ec.fits: ap = 95, w1 = 3898.595, w2 = 3816.445, dw = -0.04979, nw = 1651 150506.0029.ec.fits: ap = 96, w1 = 3872.266, w2 = 3790.673, dw = -0.04945, nw = 1651 150506.0029.ec.fits: ap = 97, w1 = 3846.29, w2 = 3765.248, dw = -0.04912, nw = 1651 150506.0029.ec.fits: ap = 98, w1 = 3820.662, w2 = 3740.161, dw = -0.04879, nw = 1651 150506.0029.ec.fits: ap = 99, w1 = 3795.373, w2 = 3715.408, dw = -0.04846, nw = 1651 150506.0029.ec.fits: ap = 100, w1 = 3770.417, w2 = 3690.98, dw = -0.04814, nw = 1651 150506.0029.ec.fits: ap = 101, w1 = 3745.787, w2 = 3666.872, dw = -0.04783, nw = 1651 150506.0029.ec.fits: ap = 102, w1 = 3721.478, w2 = 3643.077, dw = -0.04752, nw = 1651 150506.0029.ec.fits: ap = 103, w1 = 3697.483, w2 = 3619.589, dw = -0.04721, nw = 1651 150506.0029.ec.fits: ap = 104, w1 = 3673.795, w2 = 3596.403, dw = -0.0469, nw = 1651 150506.0029.ec.fits: ap = 105, w1 = 3650.41, w2 = 3573.513, dw = -0.0466, nw = 1651 150506.0029.ec.fits: ap = 106, w1 = 3627.321, w2 = 3550.913, dw = -0.04631, nw = 1651 150506.0029.ec.fits: ap = 107, w1 = 3604.523, w2 = 3528.597, dw = -0.04602, nw = 1651 150506.0029.ec.fits: ap = 108, w1 = 3582.01, w2 = 3506.56, dw = -0.04573, nw = 1651 150506.0029.ec.fits: ap = 109, w1 = 3559.777, w2 = 3484.798, dw = -0.04544, nw = 1651 150506.0029.ec.fits: ap = 110, w1 = 3537.819, w2 = 3463.304, dw = -0.04516, nw = 1651 150506.0029.ec.fits: ap = 111, w1 = 3516.131, w2 = 3442.075, dw = -0.04488, nw = 1651 150506.0029.ec.fits: ap = 112, w1 = 3494.707, w2 = 3421.105, dw = -0.04461, nw = 1651 150506.0029.ec.fits: ap = 113, w1 = 3473.544, w2 = 3400.389, dw = -0.04434, nw = 1651 150506.0029.ec.fits: ap = 114, w1 = 3452.636, w2 = 3379.923, dw = -0.04407, nw = 1651 150506.0029.ec.fits: ap = 115, w1 = 3431.978, w2 = 3359.703, dw = -0.0438, nw = 1651 150506.0030.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' 150506.0030.ec.fits: ap = 1, w1 = 10811.35, w2 = 10583.14, dw = -0.13831, nw = 1651 150506.0030.ec.fits: ap = 2, w1 = 10611.16, w2 = 10387.18, dw = -0.13575, nw = 1651 150506.0030.ec.fits: ap = 3, w1 = 10418.24, w2 = 10198.34, dw = -0.13327, nw = 1651 150506.0030.ec.fits: ap = 4, w1 = 10232.22, w2 = 10016.25, dw = -0.13089, nw = 1651 150506.0030.ec.fits: ap = 5, w1 = 10052.72, w2 = 9840.549, dw = -0.12859, nw = 1651 150506.0030.ec.fits: ap = 6, w1 = 9879.416, w2 = 9670.905, dw = -0.12637, nw = 1651 150506.0030.ec.fits: ap = 7, w1 = 9711.983, w2 = 9507.012, dw = -0.12423, nw = 1651 150506.0030.ec.fits: ap = 8, w1 = 9550.131, w2 = 9348.581, dw = -0.12215, nw = 1651 150506.0030.ec.fits: ap = 9, w1 = 9393.586, w2 = 9195.344, dw = -0.12015, nw = 1651 150506.0030.ec.fits: ap = 10, w1 = 9242.09, w2 = 9047.049, dw = -0.11821, nw = 1651 150506.0030.ec.fits: ap = 11, w1 = 9095.403, w2 = 8903.463, dw = -0.11633, nw = 1651 150506.0030.ec.fits: ap = 12, w1 = 8953.301, w2 = 8764.363, dw = -0.11451, nw = 1651 150506.0030.ec.fits: ap = 13, w1 = 8815.57, w2 = 8629.542, dw = -0.11274, nw = 1651 150506.0030.ec.fits: ap = 14, w1 = 8682.013, w2 = 8498.807, dw = -0.11103, nw = 1651 150506.0030.ec.fits: ap = 15, w1 = 8552.442, w2 = 8371.974, dw = -0.10937, nw = 1651 150506.0030.ec.fits: ap = 16, w1 = 8426.683, w2 = 8248.871, dw = -0.10776, nw = 1651 150506.0030.ec.fits: ap = 17, w1 = 8304.568, w2 = 8129.336, dw = -0.1062, nw = 1651 150506.0030.ec.fits: ap = 18, w1 = 8185.942, w2 = 8013.216, dw = -0.10468, nw = 1651 150506.0030.ec.fits: ap = 19, w1 = 8070.658, w2 = 7900.367, dw = -0.10321, nw = 1651 150506.0030.ec.fits: ap = 20, w1 = 7958.576, w2 = 7790.652, dw = -0.10177, nw = 1651 150506.0030.ec.fits: ap = 21, w1 = 7849.565, w2 = 7683.943, dw = -0.10038, nw = 1651 150506.0030.ec.fits: ap = 22, w1 = 7743.5, w2 = 7580.118, dw = -0.09902, nw = 1651 150506.0030.ec.fits: ap = 23, w1 = 7640.263, w2 = 7479.062, dw = -0.0977, nw = 1651 150506.0030.ec.fits: ap = 24, w1 = 7539.743, w2 = 7380.664, dw = -0.09641, nw = 1651 150506.0030.ec.fits: ap = 25, w1 = 7441.833, w2 = 7284.823, dw = -0.09516, nw = 1651 150506.0030.ec.fits: ap = 26, w1 = 7346.434, w2 = 7191.438, dw = -0.09394, nw = 1651 150506.0030.ec.fits: ap = 27, w1 = 7253.451, w2 = 7100.418, dw = -0.09275, nw = 1651 150506.0030.ec.fits: ap = 28, w1 = 7162.792, w2 = 7011.673, dw = -0.09159, nw = 1651 150506.0030.ec.fits: ap = 29, w1 = 7074.371, w2 = 6925.12, dw = -0.09046, nw = 1651 150506.0030.ec.fits: ap = 30, w1 = 6988.107, w2 = 6840.677, dw = -0.08935, nw = 1651 150506.0030.ec.fits: ap = 31, w1 = 6903.921, w2 = 6758.269, dw = -0.08827, nw = 1651 150506.0030.ec.fits: ap = 32, w1 = 6821.74, w2 = 6677.823, dw = -0.08722, nw = 1651 150506.0030.ec.fits: ap = 33, w1 = 6741.492, w2 = 6599.27, dw = -0.0862, nw = 1651 150506.0030.ec.fits: ap = 34, w1 = 6663.111, w2 = 6522.544, dw = -0.08519, nw = 1651 150506.0030.ec.fits: ap = 35, w1 = 6586.532, w2 = 6447.582, dw = -0.08421, nw = 1651 150506.0030.ec.fits: ap = 36, w1 = 6511.693, w2 = 6374.323, dw = -0.08325, nw = 1651 150506.0030.ec.fits: ap = 37, w1 = 6438.536, w2 = 6302.71, dw = -0.08232, nw = 1651 150506.0030.ec.fits: ap = 38, w1 = 6367.004, w2 = 6232.689, dw = -0.0814, nw = 1651 150506.0030.ec.fits: ap = 39, w1 = 6297.045, w2 = 6164.207, dw = -0.08051, nw = 1651 150506.0030.ec.fits: ap = 40, w1 = 6228.607, w2 = 6097.214, dw = -0.07963, nw = 1651 150506.0030.ec.fits: ap = 41, w1 = 6161.64, w2 = 6031.661, dw = -0.07878, nw = 1651 150506.0030.ec.fits: ap = 42, w1 = 6096.098, w2 = 5967.504, dw = -0.07794, nw = 1651 150506.0030.ec.fits: ap = 43, w1 = 6031.937, w2 = 5904.697, dw = -0.07712, nw = 1651 150506.0030.ec.fits: ap = 44, w1 = 5969.112, w2 = 5843.198, dw = -0.07631, nw = 1651 150506.0030.ec.fits: ap = 45, w1 = 5907.582, w2 = 5782.968, dw = -0.07552, nw = 1651 150506.0030.ec.fits: ap = 46, w1 = 5847.308, w2 = 5723.967, dw = -0.07475, nw = 1651 150506.0030.ec.fits: ap = 47, w1 = 5788.252, w2 = 5666.158, dw = -0.074, nw = 1651 150506.0030.ec.fits: ap = 48, w1 = 5730.377, w2 = 5609.505, dw = -0.07326, nw = 1651 150506.0030.ec.fits: ap = 49, w1 = 5673.648, w2 = 5553.974, dw = -0.07253, nw = 1651 150506.0030.ec.fits: ap = 50, w1 = 5618.032, w2 = 5499.532, dw = -0.07182, nw = 1651 150506.0030.ec.fits: ap = 51, w1 = 5563.495, w2 = 5446.148, dw = -0.07112, nw = 1651 150506.0030.ec.fits: ap = 52, w1 = 5510.008, w2 = 5393.79, dw = -0.07043, nw = 1651 150506.0030.ec.fits: ap = 53, w1 = 5457.539, w2 = 5342.43, dw = -0.06976, nw = 1651 150506.0030.ec.fits: ap = 54, w1 = 5406.06, w2 = 5292.039, dw = -0.0691, nw = 1651 150506.0030.ec.fits: ap = 55, w1 = 5355.544, w2 = 5242.589, dw = -0.06846, nw = 1651 150506.0030.ec.fits: ap = 56, w1 = 5305.964, w2 = 5194.056, dw = -0.06782, nw = 1651 150506.0030.ec.fits: ap = 57, w1 = 5257.293, w2 = 5146.414, dw = -0.0672, nw = 1651 150506.0030.ec.fits: ap = 58, w1 = 5209.507, w2 = 5099.637, dw = -0.06659, nw = 1651 150506.0030.ec.fits: ap = 59, w1 = 5162.582, w2 = 5053.704, dw = -0.06599, nw = 1651 150506.0030.ec.fits: ap = 60, w1 = 5116.496, w2 = 5008.591, dw = -0.0654, nw = 1651 150506.0030.ec.fits: ap = 61, w1 = 5071.225, w2 = 4964.277, dw = -0.06482, nw = 1651 150506.0030.ec.fits: ap = 62, w1 = 5026.749, w2 = 4920.741, dw = -0.06425, nw = 1651 150506.0030.ec.fits: ap = 63, w1 = 4983.046, w2 = 4877.962, dw = -0.06369, nw = 1651 150506.0030.ec.fits: ap = 64, w1 = 4940.097, w2 = 4835.92, dw = -0.06314, nw = 1651 150506.0030.ec.fits: ap = 65, w1 = 4897.882, w2 = 4794.598, dw = -0.0626, nw = 1651 150506.0030.ec.fits: ap = 66, w1 = 4856.383, w2 = 4753.976, dw = -0.06207, nw = 1651 150506.0030.ec.fits: ap = 67, w1 = 4815.582, w2 = 4714.037, dw = -0.06154, nw = 1651 150506.0030.ec.fits: ap = 68, w1 = 4775.461, w2 = 4674.763, dw = -0.06103, nw = 1651 150506.0030.ec.fits: ap = 69, w1 = 4736.003, w2 = 4636.14, dw = -0.06052, nw = 1651 150506.0030.ec.fits: ap = 70, w1 = 4697.192, w2 = 4598.149, dw = -0.06003, nw = 1651 150506.0030.ec.fits: ap = 71, w1 = 4659.012, w2 = 4560.777, dw = -0.05954, nw = 1651 150506.0030.ec.fits: ap = 72, w1 = 4621.449, w2 = 4524.007, dw = -0.05906, nw = 1651 150506.0030.ec.fits: ap = 73, w1 = 4584.486, w2 = 4487.826, dw = -0.05858, nw = 1651 150506.0030.ec.fits: ap = 74, w1 = 4548.111, w2 = 4452.22, dw = -0.05812, nw = 1651 150506.0030.ec.fits: ap = 75, w1 = 4512.308, w2 = 4417.175, dw = -0.05766, nw = 1651 150506.0030.ec.fits: ap = 76, w1 = 4477.065, w2 = 4382.677, dw = -0.05721, nw = 1651 150506.0030.ec.fits: ap = 77, w1 = 4442.369, w2 = 4348.714, dw = -0.05676, nw = 1651 150506.0030.ec.fits: ap = 78, w1 = 4408.207, w2 = 4315.275, dw = -0.05632, nw = 1651 150506.0030.ec.fits: ap = 79, w1 = 4374.566, w2 = 4282.346, dw = -0.05589, nw = 1651 150506.0030.ec.fits: ap = 80, w1 = 4341.436, w2 = 4249.916, dw = -0.05547, nw = 1651 150506.0030.ec.fits: ap = 81, w1 = 4308.803, w2 = 4217.974, dw = -0.05505, nw = 1651 150506.0030.ec.fits: ap = 82, w1 = 4276.659, w2 = 4186.509, dw = -0.05464, nw = 1651 150506.0030.ec.fits: ap = 83, w1 = 4244.99, w2 = 4155.511, dw = -0.05423, nw = 1651 150506.0030.ec.fits: ap = 84, w1 = 4213.788, w2 = 4124.968, dw = -0.05383, nw = 1651 150506.0030.ec.fits: ap = 85, w1 = 4183.041, w2 = 4094.872, dw = -0.05344, nw = 1651 150506.0030.ec.fits: ap = 86, w1 = 4152.74, w2 = 4065.212, dw = -0.05305, nw = 1651 150506.0030.ec.fits: ap = 87, w1 = 4122.875, w2 = 4035.979, dw = -0.05266, nw = 1651 150506.0030.ec.fits: ap = 88, w1 = 4093.438, w2 = 4007.165, dw = -0.05229, nw = 1651 150506.0030.ec.fits: ap = 89, w1 = 4064.418, w2 = 3978.759, dw = -0.05191, nw = 1651 150506.0030.ec.fits: ap = 90, w1 = 4035.807, w2 = 3950.753, dw = -0.05155, nw = 1651 150506.0030.ec.fits: ap = 91, w1 = 4007.596, w2 = 3923.14, dw = -0.05119, nw = 1651 150506.0030.ec.fits: ap = 92, w1 = 3979.778, w2 = 3895.91, dw = -0.05083, nw = 1651 150506.0030.ec.fits: ap = 93, w1 = 3952.343, w2 = 3869.056, dw = -0.05048, nw = 1651 150506.0030.ec.fits: ap = 94, w1 = 3925.285, w2 = 3842.57, dw = -0.05013, nw = 1651 150506.0030.ec.fits: ap = 95, w1 = 3898.595, w2 = 3816.445, dw = -0.04979, nw = 1651 150506.0030.ec.fits: ap = 96, w1 = 3872.266, w2 = 3790.673, dw = -0.04945, nw = 1651 150506.0030.ec.fits: ap = 97, w1 = 3846.29, w2 = 3765.248, dw = -0.04912, nw = 1651 150506.0030.ec.fits: ap = 98, w1 = 3820.662, w2 = 3740.161, dw = -0.04879, nw = 1651 150506.0030.ec.fits: ap = 99, w1 = 3795.373, w2 = 3715.408, dw = -0.04846, nw = 1651 150506.0030.ec.fits: ap = 100, w1 = 3770.417, w2 = 3690.98, dw = -0.04814, nw = 1651 150506.0030.ec.fits: ap = 101, w1 = 3745.787, w2 = 3666.872, dw = -0.04783, nw = 1651 150506.0030.ec.fits: ap = 102, w1 = 3721.478, w2 = 3643.077, dw = -0.04752, nw = 1651 150506.0030.ec.fits: ap = 103, w1 = 3697.483, w2 = 3619.589, dw = -0.04721, nw = 1651 150506.0030.ec.fits: ap = 104, w1 = 3673.795, w2 = 3596.403, dw = -0.0469, nw = 1651 150506.0030.ec.fits: ap = 105, w1 = 3650.41, w2 = 3573.513, dw = -0.0466, nw = 1651 150506.0030.ec.fits: ap = 106, w1 = 3627.321, w2 = 3550.913, dw = -0.04631, nw = 1651 150506.0030.ec.fits: ap = 107, w1 = 3604.523, w2 = 3528.597, dw = -0.04602, nw = 1651 150506.0030.ec.fits: ap = 108, w1 = 3582.01, w2 = 3506.56, dw = -0.04573, nw = 1651 150506.0030.ec.fits: ap = 109, w1 = 3559.777, w2 = 3484.798, dw = -0.04544, nw = 1651 150506.0030.ec.fits: ap = 110, w1 = 3537.819, w2 = 3463.304, dw = -0.04516, nw = 1651 150506.0030.ec.fits: ap = 111, w1 = 3516.131, w2 = 3442.075, dw = -0.04488, nw = 1651 150506.0030.ec.fits: ap = 112, w1 = 3494.707, w2 = 3421.105, dw = -0.04461, nw = 1651 150506.0030.ec.fits: ap = 113, w1 = 3473.544, w2 = 3400.389, dw = -0.04434, nw = 1651 150506.0030.ec.fits: ap = 114, w1 = 3452.636, w2 = 3379.923, dw = -0.04407, nw = 1651 150506.0030.ec.fits: ap = 115, w1 = 3431.978, w2 = 3359.703, dw = -0.0438, nw = 1651 150506.0031.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' 150506.0031.ec.fits: ap = 1, w1 = 10811.35, w2 = 10583.14, dw = -0.13831, nw = 1651 150506.0031.ec.fits: ap = 2, w1 = 10611.16, w2 = 10387.18, dw = -0.13575, nw = 1651 150506.0031.ec.fits: ap = 3, w1 = 10418.24, w2 = 10198.34, dw = -0.13327, nw = 1651 150506.0031.ec.fits: ap = 4, w1 = 10232.22, w2 = 10016.25, dw = -0.13089, nw = 1651 150506.0031.ec.fits: ap = 5, w1 = 10052.72, w2 = 9840.549, dw = -0.12859, nw = 1651 150506.0031.ec.fits: ap = 6, w1 = 9879.416, w2 = 9670.905, dw = -0.12637, nw = 1651 150506.0031.ec.fits: ap = 7, w1 = 9711.983, w2 = 9507.012, dw = -0.12423, nw = 1651 150506.0031.ec.fits: ap = 8, w1 = 9550.131, w2 = 9348.581, dw = -0.12215, nw = 1651 150506.0031.ec.fits: ap = 9, w1 = 9393.586, w2 = 9195.344, dw = -0.12015, nw = 1651 150506.0031.ec.fits: ap = 10, w1 = 9242.09, w2 = 9047.049, dw = -0.11821, nw = 1651 150506.0031.ec.fits: ap = 11, w1 = 9095.403, w2 = 8903.463, dw = -0.11633, nw = 1651 150506.0031.ec.fits: ap = 12, w1 = 8953.301, w2 = 8764.363, dw = -0.11451, nw = 1651 150506.0031.ec.fits: ap = 13, w1 = 8815.57, w2 = 8629.542, dw = -0.11274, nw = 1651 150506.0031.ec.fits: ap = 14, w1 = 8682.013, w2 = 8498.807, dw = -0.11103, nw = 1651 150506.0031.ec.fits: ap = 15, w1 = 8552.442, w2 = 8371.974, dw = -0.10937, nw = 1651 150506.0031.ec.fits: ap = 16, w1 = 8426.683, w2 = 8248.871, dw = -0.10776, nw = 1651 150506.0031.ec.fits: ap = 17, w1 = 8304.568, w2 = 8129.336, dw = -0.1062, nw = 1651 150506.0031.ec.fits: ap = 18, w1 = 8185.942, w2 = 8013.216, dw = -0.10468, nw = 1651 150506.0031.ec.fits: ap = 19, w1 = 8070.658, w2 = 7900.367, dw = -0.10321, nw = 1651 150506.0031.ec.fits: ap = 20, w1 = 7958.576, w2 = 7790.652, dw = -0.10177, nw = 1651 150506.0031.ec.fits: ap = 21, w1 = 7849.565, w2 = 7683.943, dw = -0.10038, nw = 1651 150506.0031.ec.fits: ap = 22, w1 = 7743.5, w2 = 7580.118, dw = -0.09902, nw = 1651 150506.0031.ec.fits: ap = 23, w1 = 7640.263, w2 = 7479.062, dw = -0.0977, nw = 1651 150506.0031.ec.fits: ap = 24, w1 = 7539.743, w2 = 7380.664, dw = -0.09641, nw = 1651 150506.0031.ec.fits: ap = 25, w1 = 7441.833, w2 = 7284.823, dw = -0.09516, nw = 1651 150506.0031.ec.fits: ap = 26, w1 = 7346.434, w2 = 7191.438, dw = -0.09394, nw = 1651 150506.0031.ec.fits: ap = 27, w1 = 7253.451, w2 = 7100.418, dw = -0.09275, nw = 1651 150506.0031.ec.fits: ap = 28, w1 = 7162.792, w2 = 7011.673, dw = -0.09159, nw = 1651 150506.0031.ec.fits: ap = 29, w1 = 7074.371, w2 = 6925.12, dw = -0.09046, nw = 1651 150506.0031.ec.fits: ap = 30, w1 = 6988.107, w2 = 6840.677, dw = -0.08935, nw = 1651 150506.0031.ec.fits: ap = 31, w1 = 6903.921, w2 = 6758.269, dw = -0.08827, nw = 1651 150506.0031.ec.fits: ap = 32, w1 = 6821.74, w2 = 6677.823, dw = -0.08722, nw = 1651 150506.0031.ec.fits: ap = 33, w1 = 6741.492, w2 = 6599.27, dw = -0.0862, nw = 1651 150506.0031.ec.fits: ap = 34, w1 = 6663.111, w2 = 6522.544, dw = -0.08519, nw = 1651 150506.0031.ec.fits: ap = 35, w1 = 6586.532, w2 = 6447.582, dw = -0.08421, nw = 1651 150506.0031.ec.fits: ap = 36, w1 = 6511.693, w2 = 6374.323, dw = -0.08325, nw = 1651 150506.0031.ec.fits: ap = 37, w1 = 6438.536, w2 = 6302.71, dw = -0.08232, nw = 1651 150506.0031.ec.fits: ap = 38, w1 = 6367.004, w2 = 6232.689, dw = -0.0814, nw = 1651 150506.0031.ec.fits: ap = 39, w1 = 6297.045, w2 = 6164.207, dw = -0.08051, nw = 1651 150506.0031.ec.fits: ap = 40, w1 = 6228.607, w2 = 6097.214, dw = -0.07963, nw = 1651 150506.0031.ec.fits: ap = 41, w1 = 6161.64, w2 = 6031.661, dw = -0.07878, nw = 1651 150506.0031.ec.fits: ap = 42, w1 = 6096.098, w2 = 5967.504, dw = -0.07794, nw = 1651 150506.0031.ec.fits: ap = 43, w1 = 6031.937, w2 = 5904.697, dw = -0.07712, nw = 1651 150506.0031.ec.fits: ap = 44, w1 = 5969.112, w2 = 5843.198, dw = -0.07631, nw = 1651 150506.0031.ec.fits: ap = 45, w1 = 5907.582, w2 = 5782.968, dw = -0.07552, nw = 1651 150506.0031.ec.fits: ap = 46, w1 = 5847.308, w2 = 5723.967, dw = -0.07475, nw = 1651 150506.0031.ec.fits: ap = 47, w1 = 5788.252, w2 = 5666.158, dw = -0.074, nw = 1651 150506.0031.ec.fits: ap = 48, w1 = 5730.377, w2 = 5609.505, dw = -0.07326, nw = 1651 150506.0031.ec.fits: ap = 49, w1 = 5673.648, w2 = 5553.974, dw = -0.07253, nw = 1651 150506.0031.ec.fits: ap = 50, w1 = 5618.032, w2 = 5499.532, dw = -0.07182, nw = 1651 150506.0031.ec.fits: ap = 51, w1 = 5563.495, w2 = 5446.148, dw = -0.07112, nw = 1651 150506.0031.ec.fits: ap = 52, w1 = 5510.008, w2 = 5393.79, dw = -0.07043, nw = 1651 150506.0031.ec.fits: ap = 53, w1 = 5457.539, w2 = 5342.43, dw = -0.06976, nw = 1651 150506.0031.ec.fits: ap = 54, w1 = 5406.06, w2 = 5292.039, dw = -0.0691, nw = 1651 150506.0031.ec.fits: ap = 55, w1 = 5355.544, w2 = 5242.589, dw = -0.06846, nw = 1651 150506.0031.ec.fits: ap = 56, w1 = 5305.964, w2 = 5194.056, dw = -0.06782, nw = 1651 150506.0031.ec.fits: ap = 57, w1 = 5257.293, w2 = 5146.414, dw = -0.0672, nw = 1651 150506.0031.ec.fits: ap = 58, w1 = 5209.507, w2 = 5099.637, dw = -0.06659, nw = 1651 150506.0031.ec.fits: ap = 59, w1 = 5162.582, w2 = 5053.704, dw = -0.06599, nw = 1651 150506.0031.ec.fits: ap = 60, w1 = 5116.496, w2 = 5008.591, dw = -0.0654, nw = 1651 150506.0031.ec.fits: ap = 61, w1 = 5071.225, w2 = 4964.277, dw = -0.06482, nw = 1651 150506.0031.ec.fits: ap = 62, w1 = 5026.749, w2 = 4920.741, dw = -0.06425, nw = 1651 150506.0031.ec.fits: ap = 63, w1 = 4983.046, w2 = 4877.962, dw = -0.06369, nw = 1651 150506.0031.ec.fits: ap = 64, w1 = 4940.097, w2 = 4835.92, dw = -0.06314, nw = 1651 150506.0031.ec.fits: ap = 65, w1 = 4897.882, w2 = 4794.598, dw = -0.0626, nw = 1651 150506.0031.ec.fits: ap = 66, w1 = 4856.383, w2 = 4753.976, dw = -0.06207, nw = 1651 150506.0031.ec.fits: ap = 67, w1 = 4815.582, w2 = 4714.037, dw = -0.06154, nw = 1651 150506.0031.ec.fits: ap = 68, w1 = 4775.461, w2 = 4674.763, dw = -0.06103, nw = 1651 150506.0031.ec.fits: ap = 69, w1 = 4736.003, w2 = 4636.14, dw = -0.06052, nw = 1651 150506.0031.ec.fits: ap = 70, w1 = 4697.192, w2 = 4598.149, dw = -0.06003, nw = 1651 150506.0031.ec.fits: ap = 71, w1 = 4659.012, w2 = 4560.777, dw = -0.05954, nw = 1651 150506.0031.ec.fits: ap = 72, w1 = 4621.449, w2 = 4524.007, dw = -0.05906, nw = 1651 150506.0031.ec.fits: ap = 73, w1 = 4584.486, w2 = 4487.826, dw = -0.05858, nw = 1651 150506.0031.ec.fits: ap = 74, w1 = 4548.111, w2 = 4452.22, dw = -0.05812, nw = 1651 150506.0031.ec.fits: ap = 75, w1 = 4512.308, w2 = 4417.175, dw = -0.05766, nw = 1651 150506.0031.ec.fits: ap = 76, w1 = 4477.065, w2 = 4382.677, dw = -0.05721, nw = 1651 150506.0031.ec.fits: ap = 77, w1 = 4442.369, w2 = 4348.714, dw = -0.05676, nw = 1651 150506.0031.ec.fits: ap = 78, w1 = 4408.207, w2 = 4315.275, dw = -0.05632, nw = 1651 150506.0031.ec.fits: ap = 79, w1 = 4374.566, w2 = 4282.346, dw = -0.05589, nw = 1651 150506.0031.ec.fits: ap = 80, w1 = 4341.436, w2 = 4249.916, dw = -0.05547, nw = 1651 150506.0031.ec.fits: ap = 81, w1 = 4308.803, w2 = 4217.974, dw = -0.05505, nw = 1651 150506.0031.ec.fits: ap = 82, w1 = 4276.659, w2 = 4186.509, dw = -0.05464, nw = 1651 150506.0031.ec.fits: ap = 83, w1 = 4244.99, w2 = 4155.511, dw = -0.05423, nw = 1651 150506.0031.ec.fits: ap = 84, w1 = 4213.788, w2 = 4124.968, dw = -0.05383, nw = 1651 150506.0031.ec.fits: ap = 85, w1 = 4183.041, w2 = 4094.872, dw = -0.05344, nw = 1651 150506.0031.ec.fits: ap = 86, w1 = 4152.74, w2 = 4065.212, dw = -0.05305, nw = 1651 150506.0031.ec.fits: ap = 87, w1 = 4122.875, w2 = 4035.979, dw = -0.05266, nw = 1651 150506.0031.ec.fits: ap = 88, w1 = 4093.438, w2 = 4007.165, dw = -0.05229, nw = 1651 150506.0031.ec.fits: ap = 89, w1 = 4064.418, w2 = 3978.759, dw = -0.05191, nw = 1651 150506.0031.ec.fits: ap = 90, w1 = 4035.807, w2 = 3950.753, dw = -0.05155, nw = 1651 150506.0031.ec.fits: ap = 91, w1 = 4007.596, w2 = 3923.14, dw = -0.05119, nw = 1651 150506.0031.ec.fits: ap = 92, w1 = 3979.778, w2 = 3895.91, dw = -0.05083, nw = 1651 150506.0031.ec.fits: ap = 93, w1 = 3952.343, w2 = 3869.056, dw = -0.05048, nw = 1651 150506.0031.ec.fits: ap = 94, w1 = 3925.285, w2 = 3842.57, dw = -0.05013, nw = 1651 150506.0031.ec.fits: ap = 95, w1 = 3898.595, w2 = 3816.445, dw = -0.04979, nw = 1651 150506.0031.ec.fits: ap = 96, w1 = 3872.266, w2 = 3790.673, dw = -0.04945, nw = 1651 150506.0031.ec.fits: ap = 97, w1 = 3846.29, w2 = 3765.248, dw = -0.04912, nw = 1651 150506.0031.ec.fits: ap = 98, w1 = 3820.662, w2 = 3740.161, dw = -0.04879, nw = 1651 150506.0031.ec.fits: ap = 99, w1 = 3795.373, w2 = 3715.408, dw = -0.04846, nw = 1651 150506.0031.ec.fits: ap = 100, w1 = 3770.417, w2 = 3690.98, dw = -0.04814, nw = 1651 150506.0031.ec.fits: ap = 101, w1 = 3745.787, w2 = 3666.872, dw = -0.04783, nw = 1651 150506.0031.ec.fits: ap = 102, w1 = 3721.478, w2 = 3643.077, dw = -0.04752, nw = 1651 150506.0031.ec.fits: ap = 103, w1 = 3697.483, w2 = 3619.589, dw = -0.04721, nw = 1651 150506.0031.ec.fits: ap = 104, w1 = 3673.795, w2 = 3596.403, dw = -0.0469, nw = 1651 150506.0031.ec.fits: ap = 105, w1 = 3650.41, w2 = 3573.513, dw = -0.0466, nw = 1651 150506.0031.ec.fits: ap = 106, w1 = 3627.321, w2 = 3550.913, dw = -0.04631, nw = 1651 150506.0031.ec.fits: ap = 107, w1 = 3604.523, w2 = 3528.597, dw = -0.04602, nw = 1651 150506.0031.ec.fits: ap = 108, w1 = 3582.01, w2 = 3506.56, dw = -0.04573, nw = 1651 150506.0031.ec.fits: ap = 109, w1 = 3559.777, w2 = 3484.798, dw = -0.04544, nw = 1651 150506.0031.ec.fits: ap = 110, w1 = 3537.819, w2 = 3463.304, dw = -0.04516, nw = 1651 150506.0031.ec.fits: ap = 111, w1 = 3516.131, w2 = 3442.075, dw = -0.04488, nw = 1651 150506.0031.ec.fits: ap = 112, w1 = 3494.707, w2 = 3421.105, dw = -0.04461, nw = 1651 150506.0031.ec.fits: ap = 113, w1 = 3473.544, w2 = 3400.389, dw = -0.04434, nw = 1651 150506.0031.ec.fits: ap = 114, w1 = 3452.636, w2 = 3379.923, dw = -0.04407, nw = 1651 150506.0031.ec.fits: ap = 115, w1 = 3431.978, w2 = 3359.703, dw = -0.0438, nw = 1651 150506.0032.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' 150506.0032.ec.fits: ap = 1, w1 = 10811.35, w2 = 10583.14, dw = -0.13831, nw = 1651 150506.0032.ec.fits: ap = 2, w1 = 10611.16, w2 = 10387.18, dw = -0.13575, nw = 1651 150506.0032.ec.fits: ap = 3, w1 = 10418.24, w2 = 10198.34, dw = -0.13327, nw = 1651 150506.0032.ec.fits: ap = 4, w1 = 10232.22, w2 = 10016.25, dw = -0.13089, nw = 1651 150506.0032.ec.fits: ap = 5, w1 = 10052.72, w2 = 9840.549, dw = -0.12859, nw = 1651 150506.0032.ec.fits: ap = 6, w1 = 9879.416, w2 = 9670.905, dw = -0.12637, nw = 1651 150506.0032.ec.fits: ap = 7, w1 = 9711.983, w2 = 9507.012, dw = -0.12423, nw = 1651 150506.0032.ec.fits: ap = 8, w1 = 9550.131, w2 = 9348.581, dw = -0.12215, nw = 1651 150506.0032.ec.fits: ap = 9, w1 = 9393.586, w2 = 9195.344, dw = -0.12015, nw = 1651 150506.0032.ec.fits: ap = 10, w1 = 9242.09, w2 = 9047.049, dw = -0.11821, nw = 1651 150506.0032.ec.fits: ap = 11, w1 = 9095.403, w2 = 8903.463, dw = -0.11633, nw = 1651 150506.0032.ec.fits: ap = 12, w1 = 8953.301, w2 = 8764.363, dw = -0.11451, nw = 1651 150506.0032.ec.fits: ap = 13, w1 = 8815.57, w2 = 8629.542, dw = -0.11274, nw = 1651 150506.0032.ec.fits: ap = 14, w1 = 8682.013, w2 = 8498.807, dw = -0.11103, nw = 1651 150506.0032.ec.fits: ap = 15, w1 = 8552.442, w2 = 8371.974, dw = -0.10937, nw = 1651 150506.0032.ec.fits: ap = 16, w1 = 8426.683, w2 = 8248.871, dw = -0.10776, nw = 1651 150506.0032.ec.fits: ap = 17, w1 = 8304.568, w2 = 8129.336, dw = -0.1062, nw = 1651 150506.0032.ec.fits: ap = 18, w1 = 8185.942, w2 = 8013.216, dw = -0.10468, nw = 1651 150506.0032.ec.fits: ap = 19, w1 = 8070.658, w2 = 7900.367, dw = -0.10321, nw = 1651 150506.0032.ec.fits: ap = 20, w1 = 7958.576, w2 = 7790.652, dw = -0.10177, nw = 1651 150506.0032.ec.fits: ap = 21, w1 = 7849.565, w2 = 7683.943, dw = -0.10038, nw = 1651 150506.0032.ec.fits: ap = 22, w1 = 7743.5, w2 = 7580.118, dw = -0.09902, nw = 1651 150506.0032.ec.fits: ap = 23, w1 = 7640.263, w2 = 7479.062, dw = -0.0977, nw = 1651 150506.0032.ec.fits: ap = 24, w1 = 7539.743, w2 = 7380.664, dw = -0.09641, nw = 1651 150506.0032.ec.fits: ap = 25, w1 = 7441.833, w2 = 7284.823, dw = -0.09516, nw = 1651 150506.0032.ec.fits: ap = 26, w1 = 7346.434, w2 = 7191.438, dw = -0.09394, nw = 1651 150506.0032.ec.fits: ap = 27, w1 = 7253.451, w2 = 7100.418, dw = -0.09275, nw = 1651 150506.0032.ec.fits: ap = 28, w1 = 7162.792, w2 = 7011.673, dw = -0.09159, nw = 1651 150506.0032.ec.fits: ap = 29, w1 = 7074.371, w2 = 6925.12, dw = -0.09046, nw = 1651 150506.0032.ec.fits: ap = 30, w1 = 6988.107, w2 = 6840.677, dw = -0.08935, nw = 1651 150506.0032.ec.fits: ap = 31, w1 = 6903.921, w2 = 6758.269, dw = -0.08827, nw = 1651 150506.0032.ec.fits: ap = 32, w1 = 6821.74, w2 = 6677.823, dw = -0.08722, nw = 1651 150506.0032.ec.fits: ap = 33, w1 = 6741.492, w2 = 6599.27, dw = -0.0862, nw = 1651 150506.0032.ec.fits: ap = 34, w1 = 6663.111, w2 = 6522.544, dw = -0.08519, nw = 1651 150506.0032.ec.fits: ap = 35, w1 = 6586.532, w2 = 6447.582, dw = -0.08421, nw = 1651 150506.0032.ec.fits: ap = 36, w1 = 6511.693, w2 = 6374.323, dw = -0.08325, nw = 1651 150506.0032.ec.fits: ap = 37, w1 = 6438.536, w2 = 6302.71, dw = -0.08232, nw = 1651 150506.0032.ec.fits: ap = 38, w1 = 6367.004, w2 = 6232.689, dw = -0.0814, nw = 1651 150506.0032.ec.fits: ap = 39, w1 = 6297.045, w2 = 6164.207, dw = -0.08051, nw = 1651 150506.0032.ec.fits: ap = 40, w1 = 6228.607, w2 = 6097.214, dw = -0.07963, nw = 1651 150506.0032.ec.fits: ap = 41, w1 = 6161.64, w2 = 6031.661, dw = -0.07878, nw = 1651 150506.0032.ec.fits: ap = 42, w1 = 6096.098, w2 = 5967.504, dw = -0.07794, nw = 1651 150506.0032.ec.fits: ap = 43, w1 = 6031.937, w2 = 5904.697, dw = -0.07712, nw = 1651 150506.0032.ec.fits: ap = 44, w1 = 5969.112, w2 = 5843.198, dw = -0.07631, nw = 1651 150506.0032.ec.fits: ap = 45, w1 = 5907.582, w2 = 5782.968, dw = -0.07552, nw = 1651 150506.0032.ec.fits: ap = 46, w1 = 5847.308, w2 = 5723.967, dw = -0.07475, nw = 1651 150506.0032.ec.fits: ap = 47, w1 = 5788.252, w2 = 5666.158, dw = -0.074, nw = 1651 150506.0032.ec.fits: ap = 48, w1 = 5730.377, w2 = 5609.505, dw = -0.07326, nw = 1651 150506.0032.ec.fits: ap = 49, w1 = 5673.648, w2 = 5553.974, dw = -0.07253, nw = 1651 150506.0032.ec.fits: ap = 50, w1 = 5618.032, w2 = 5499.532, dw = -0.07182, nw = 1651 150506.0032.ec.fits: ap = 51, w1 = 5563.495, w2 = 5446.148, dw = -0.07112, nw = 1651 150506.0032.ec.fits: ap = 52, w1 = 5510.008, w2 = 5393.79, dw = -0.07043, nw = 1651 150506.0032.ec.fits: ap = 53, w1 = 5457.539, w2 = 5342.43, dw = -0.06976, nw = 1651 150506.0032.ec.fits: ap = 54, w1 = 5406.06, w2 = 5292.039, dw = -0.0691, nw = 1651 150506.0032.ec.fits: ap = 55, w1 = 5355.544, w2 = 5242.589, dw = -0.06846, nw = 1651 150506.0032.ec.fits: ap = 56, w1 = 5305.964, w2 = 5194.056, dw = -0.06782, nw = 1651 150506.0032.ec.fits: ap = 57, w1 = 5257.293, w2 = 5146.414, dw = -0.0672, nw = 1651 150506.0032.ec.fits: ap = 58, w1 = 5209.507, w2 = 5099.637, dw = -0.06659, nw = 1651 150506.0032.ec.fits: ap = 59, w1 = 5162.582, w2 = 5053.704, dw = -0.06599, nw = 1651 150506.0032.ec.fits: ap = 60, w1 = 5116.496, w2 = 5008.591, dw = -0.0654, nw = 1651 150506.0032.ec.fits: ap = 61, w1 = 5071.225, w2 = 4964.277, dw = -0.06482, nw = 1651 150506.0032.ec.fits: ap = 62, w1 = 5026.749, w2 = 4920.741, dw = -0.06425, nw = 1651 150506.0032.ec.fits: ap = 63, w1 = 4983.046, w2 = 4877.962, dw = -0.06369, nw = 1651 150506.0032.ec.fits: ap = 64, w1 = 4940.097, w2 = 4835.92, dw = -0.06314, nw = 1651 150506.0032.ec.fits: ap = 65, w1 = 4897.882, w2 = 4794.598, dw = -0.0626, nw = 1651 150506.0032.ec.fits: ap = 66, w1 = 4856.383, w2 = 4753.976, dw = -0.06207, nw = 1651 150506.0032.ec.fits: ap = 67, w1 = 4815.582, w2 = 4714.037, dw = -0.06154, nw = 1651 150506.0032.ec.fits: ap = 68, w1 = 4775.461, w2 = 4674.763, dw = -0.06103, nw = 1651 150506.0032.ec.fits: ap = 69, w1 = 4736.003, w2 = 4636.14, dw = -0.06052, nw = 1651 150506.0032.ec.fits: ap = 70, w1 = 4697.192, w2 = 4598.149, dw = -0.06003, nw = 1651 150506.0032.ec.fits: ap = 71, w1 = 4659.012, w2 = 4560.777, dw = -0.05954, nw = 1651 150506.0032.ec.fits: ap = 72, w1 = 4621.449, w2 = 4524.007, dw = -0.05906, nw = 1651 150506.0032.ec.fits: ap = 73, w1 = 4584.486, w2 = 4487.826, dw = -0.05858, nw = 1651 150506.0032.ec.fits: ap = 74, w1 = 4548.111, w2 = 4452.22, dw = -0.05812, nw = 1651 150506.0032.ec.fits: ap = 75, w1 = 4512.308, w2 = 4417.175, dw = -0.05766, nw = 1651 150506.0032.ec.fits: ap = 76, w1 = 4477.065, w2 = 4382.677, dw = -0.05721, nw = 1651 150506.0032.ec.fits: ap = 77, w1 = 4442.369, w2 = 4348.714, dw = -0.05676, nw = 1651 150506.0032.ec.fits: ap = 78, w1 = 4408.207, w2 = 4315.275, dw = -0.05632, nw = 1651 150506.0032.ec.fits: ap = 79, w1 = 4374.566, w2 = 4282.346, dw = -0.05589, nw = 1651 150506.0032.ec.fits: ap = 80, w1 = 4341.436, w2 = 4249.916, dw = -0.05547, nw = 1651 150506.0032.ec.fits: ap = 81, w1 = 4308.803, w2 = 4217.974, dw = -0.05505, nw = 1651 150506.0032.ec.fits: ap = 82, w1 = 4276.659, w2 = 4186.509, dw = -0.05464, nw = 1651 150506.0032.ec.fits: ap = 83, w1 = 4244.99, w2 = 4155.511, dw = -0.05423, nw = 1651 150506.0032.ec.fits: ap = 84, w1 = 4213.788, w2 = 4124.968, dw = -0.05383, nw = 1651 150506.0032.ec.fits: ap = 85, w1 = 4183.041, w2 = 4094.872, dw = -0.05344, nw = 1651 150506.0032.ec.fits: ap = 86, w1 = 4152.74, w2 = 4065.212, dw = -0.05305, nw = 1651 150506.0032.ec.fits: ap = 87, w1 = 4122.875, w2 = 4035.979, dw = -0.05266, nw = 1651 150506.0032.ec.fits: ap = 88, w1 = 4093.438, w2 = 4007.165, dw = -0.05229, nw = 1651 150506.0032.ec.fits: ap = 89, w1 = 4064.418, w2 = 3978.759, dw = -0.05191, nw = 1651 150506.0032.ec.fits: ap = 90, w1 = 4035.807, w2 = 3950.753, dw = -0.05155, nw = 1651 150506.0032.ec.fits: ap = 91, w1 = 4007.596, w2 = 3923.14, dw = -0.05119, nw = 1651 150506.0032.ec.fits: ap = 92, w1 = 3979.778, w2 = 3895.91, dw = -0.05083, nw = 1651 150506.0032.ec.fits: ap = 93, w1 = 3952.343, w2 = 3869.056, dw = -0.05048, nw = 1651 150506.0032.ec.fits: ap = 94, w1 = 3925.285, w2 = 3842.57, dw = -0.05013, nw = 1651 150506.0032.ec.fits: ap = 95, w1 = 3898.595, w2 = 3816.445, dw = -0.04979, nw = 1651 150506.0032.ec.fits: ap = 96, w1 = 3872.266, w2 = 3790.673, dw = -0.04945, nw = 1651 150506.0032.ec.fits: ap = 97, w1 = 3846.29, w2 = 3765.248, dw = -0.04912, nw = 1651 150506.0032.ec.fits: ap = 98, w1 = 3820.662, w2 = 3740.161, dw = -0.04879, nw = 1651 150506.0032.ec.fits: ap = 99, w1 = 3795.373, w2 = 3715.408, dw = -0.04846, nw = 1651 150506.0032.ec.fits: ap = 100, w1 = 3770.417, w2 = 3690.98, dw = -0.04814, nw = 1651 150506.0032.ec.fits: ap = 101, w1 = 3745.787, w2 = 3666.872, dw = -0.04783, nw = 1651 150506.0032.ec.fits: ap = 102, w1 = 3721.478, w2 = 3643.077, dw = -0.04752, nw = 1651 150506.0032.ec.fits: ap = 103, w1 = 3697.483, w2 = 3619.589, dw = -0.04721, nw = 1651 150506.0032.ec.fits: ap = 104, w1 = 3673.795, w2 = 3596.403, dw = -0.0469, nw = 1651 150506.0032.ec.fits: ap = 105, w1 = 3650.41, w2 = 3573.513, dw = -0.0466, nw = 1651 150506.0032.ec.fits: ap = 106, w1 = 3627.321, w2 = 3550.913, dw = -0.04631, nw = 1651 150506.0032.ec.fits: ap = 107, w1 = 3604.523, w2 = 3528.597, dw = -0.04602, nw = 1651 150506.0032.ec.fits: ap = 108, w1 = 3582.01, w2 = 3506.56, dw = -0.04573, nw = 1651 150506.0032.ec.fits: ap = 109, w1 = 3559.777, w2 = 3484.798, dw = -0.04544, nw = 1651 150506.0032.ec.fits: ap = 110, w1 = 3537.819, w2 = 3463.304, dw = -0.04516, nw = 1651 150506.0032.ec.fits: ap = 111, w1 = 3516.131, w2 = 3442.075, dw = -0.04488, nw = 1651 150506.0032.ec.fits: ap = 112, w1 = 3494.707, w2 = 3421.105, dw = -0.04461, nw = 1651 150506.0032.ec.fits: ap = 113, w1 = 3473.544, w2 = 3400.389, dw = -0.04434, nw = 1651 150506.0032.ec.fits: ap = 114, w1 = 3452.636, w2 = 3379.923, dw = -0.04407, nw = 1651 150506.0032.ec.fits: ap = 115, w1 = 3431.978, w2 = 3359.703, dw = -0.0438, nw = 1651 150506.0033.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' 150506.0033.ec.fits: ap = 1, w1 = 10811.35, w2 = 10583.14, dw = -0.13831, nw = 1651 150506.0033.ec.fits: ap = 2, w1 = 10611.16, w2 = 10387.18, dw = -0.13575, nw = 1651 150506.0033.ec.fits: ap = 3, w1 = 10418.24, w2 = 10198.34, dw = -0.13327, nw = 1651 150506.0033.ec.fits: ap = 4, w1 = 10232.22, w2 = 10016.25, dw = -0.13089, nw = 1651 150506.0033.ec.fits: ap = 5, w1 = 10052.72, w2 = 9840.549, dw = -0.12859, nw = 1651 150506.0033.ec.fits: ap = 6, w1 = 9879.416, w2 = 9670.905, dw = -0.12637, nw = 1651 150506.0033.ec.fits: ap = 7, w1 = 9711.983, w2 = 9507.012, dw = -0.12423, nw = 1651 150506.0033.ec.fits: ap = 8, w1 = 9550.131, w2 = 9348.581, dw = -0.12215, nw = 1651 150506.0033.ec.fits: ap = 9, w1 = 9393.586, w2 = 9195.344, dw = -0.12015, nw = 1651 150506.0033.ec.fits: ap = 10, w1 = 9242.09, w2 = 9047.049, dw = -0.11821, nw = 1651 150506.0033.ec.fits: ap = 11, w1 = 9095.403, w2 = 8903.463, dw = -0.11633, nw = 1651 150506.0033.ec.fits: ap = 12, w1 = 8953.301, w2 = 8764.363, dw = -0.11451, nw = 1651 150506.0033.ec.fits: ap = 13, w1 = 8815.57, w2 = 8629.542, dw = -0.11274, nw = 1651 150506.0033.ec.fits: ap = 14, w1 = 8682.013, w2 = 8498.807, dw = -0.11103, nw = 1651 150506.0033.ec.fits: ap = 15, w1 = 8552.442, w2 = 8371.974, dw = -0.10937, nw = 1651 150506.0033.ec.fits: ap = 16, w1 = 8426.683, w2 = 8248.871, dw = -0.10776, nw = 1651 150506.0033.ec.fits: ap = 17, w1 = 8304.568, w2 = 8129.336, dw = -0.1062, nw = 1651 150506.0033.ec.fits: ap = 18, w1 = 8185.942, w2 = 8013.216, dw = -0.10468, nw = 1651 150506.0033.ec.fits: ap = 19, w1 = 8070.658, w2 = 7900.367, dw = -0.10321, nw = 1651 150506.0033.ec.fits: ap = 20, w1 = 7958.576, w2 = 7790.652, dw = -0.10177, nw = 1651 150506.0033.ec.fits: ap = 21, w1 = 7849.565, w2 = 7683.943, dw = -0.10038, nw = 1651 150506.0033.ec.fits: ap = 22, w1 = 7743.5, w2 = 7580.118, dw = -0.09902, nw = 1651 150506.0033.ec.fits: ap = 23, w1 = 7640.263, w2 = 7479.062, dw = -0.0977, nw = 1651 150506.0033.ec.fits: ap = 24, w1 = 7539.743, w2 = 7380.664, dw = -0.09641, nw = 1651 150506.0033.ec.fits: ap = 25, w1 = 7441.833, w2 = 7284.823, dw = -0.09516, nw = 1651 150506.0033.ec.fits: ap = 26, w1 = 7346.434, w2 = 7191.438, dw = -0.09394, nw = 1651 150506.0033.ec.fits: ap = 27, w1 = 7253.451, w2 = 7100.418, dw = -0.09275, nw = 1651 150506.0033.ec.fits: ap = 28, w1 = 7162.792, w2 = 7011.673, dw = -0.09159, nw = 1651 150506.0033.ec.fits: ap = 29, w1 = 7074.371, w2 = 6925.12, dw = -0.09046, nw = 1651 150506.0033.ec.fits: ap = 30, w1 = 6988.107, w2 = 6840.677, dw = -0.08935, nw = 1651 150506.0033.ec.fits: ap = 31, w1 = 6903.921, w2 = 6758.269, dw = -0.08827, nw = 1651 150506.0033.ec.fits: ap = 32, w1 = 6821.74, w2 = 6677.823, dw = -0.08722, nw = 1651 150506.0033.ec.fits: ap = 33, w1 = 6741.492, w2 = 6599.27, dw = -0.0862, nw = 1651 150506.0033.ec.fits: ap = 34, w1 = 6663.111, w2 = 6522.544, dw = -0.08519, nw = 1651 150506.0033.ec.fits: ap = 35, w1 = 6586.532, w2 = 6447.582, dw = -0.08421, nw = 1651 150506.0033.ec.fits: ap = 36, w1 = 6511.693, w2 = 6374.323, dw = -0.08325, nw = 1651 150506.0033.ec.fits: ap = 37, w1 = 6438.536, w2 = 6302.71, dw = -0.08232, nw = 1651 150506.0033.ec.fits: ap = 38, w1 = 6367.004, w2 = 6232.689, dw = -0.0814, nw = 1651 150506.0033.ec.fits: ap = 39, w1 = 6297.045, w2 = 6164.207, dw = -0.08051, nw = 1651 150506.0033.ec.fits: ap = 40, w1 = 6228.607, w2 = 6097.214, dw = -0.07963, nw = 1651 150506.0033.ec.fits: ap = 41, w1 = 6161.64, w2 = 6031.661, dw = -0.07878, nw = 1651 150506.0033.ec.fits: ap = 42, w1 = 6096.098, w2 = 5967.504, dw = -0.07794, nw = 1651 150506.0033.ec.fits: ap = 43, w1 = 6031.937, w2 = 5904.697, dw = -0.07712, nw = 1651 150506.0033.ec.fits: ap = 44, w1 = 5969.112, w2 = 5843.198, dw = -0.07631, nw = 1651 150506.0033.ec.fits: ap = 45, w1 = 5907.582, w2 = 5782.968, dw = -0.07552, nw = 1651 150506.0033.ec.fits: ap = 46, w1 = 5847.308, w2 = 5723.967, dw = -0.07475, nw = 1651 150506.0033.ec.fits: ap = 47, w1 = 5788.252, w2 = 5666.158, dw = -0.074, nw = 1651 150506.0033.ec.fits: ap = 48, w1 = 5730.377, w2 = 5609.505, dw = -0.07326, nw = 1651 150506.0033.ec.fits: ap = 49, w1 = 5673.648, w2 = 5553.974, dw = -0.07253, nw = 1651 150506.0033.ec.fits: ap = 50, w1 = 5618.032, w2 = 5499.532, dw = -0.07182, nw = 1651 150506.0033.ec.fits: ap = 51, w1 = 5563.495, w2 = 5446.148, dw = -0.07112, nw = 1651 150506.0033.ec.fits: ap = 52, w1 = 5510.008, w2 = 5393.79, dw = -0.07043, nw = 1651 150506.0033.ec.fits: ap = 53, w1 = 5457.539, w2 = 5342.43, dw = -0.06976, nw = 1651 150506.0033.ec.fits: ap = 54, w1 = 5406.06, w2 = 5292.039, dw = -0.0691, nw = 1651 150506.0033.ec.fits: ap = 55, w1 = 5355.544, w2 = 5242.589, dw = -0.06846, nw = 1651 150506.0033.ec.fits: ap = 56, w1 = 5305.964, w2 = 5194.056, dw = -0.06782, nw = 1651 150506.0033.ec.fits: ap = 57, w1 = 5257.293, w2 = 5146.414, dw = -0.0672, nw = 1651 150506.0033.ec.fits: ap = 58, w1 = 5209.507, w2 = 5099.637, dw = -0.06659, nw = 1651 150506.0033.ec.fits: ap = 59, w1 = 5162.582, w2 = 5053.704, dw = -0.06599, nw = 1651 150506.0033.ec.fits: ap = 60, w1 = 5116.496, w2 = 5008.591, dw = -0.0654, nw = 1651 150506.0033.ec.fits: ap = 61, w1 = 5071.225, w2 = 4964.277, dw = -0.06482, nw = 1651 150506.0033.ec.fits: ap = 62, w1 = 5026.749, w2 = 4920.741, dw = -0.06425, nw = 1651 150506.0033.ec.fits: ap = 63, w1 = 4983.046, w2 = 4877.962, dw = -0.06369, nw = 1651 150506.0033.ec.fits: ap = 64, w1 = 4940.097, w2 = 4835.92, dw = -0.06314, nw = 1651 150506.0033.ec.fits: ap = 65, w1 = 4897.882, w2 = 4794.598, dw = -0.0626, nw = 1651 150506.0033.ec.fits: ap = 66, w1 = 4856.383, w2 = 4753.976, dw = -0.06207, nw = 1651 150506.0033.ec.fits: ap = 67, w1 = 4815.582, w2 = 4714.037, dw = -0.06154, nw = 1651 150506.0033.ec.fits: ap = 68, w1 = 4775.461, w2 = 4674.763, dw = -0.06103, nw = 1651 150506.0033.ec.fits: ap = 69, w1 = 4736.003, w2 = 4636.14, dw = -0.06052, nw = 1651 150506.0033.ec.fits: ap = 70, w1 = 4697.192, w2 = 4598.149, dw = -0.06003, nw = 1651 150506.0033.ec.fits: ap = 71, w1 = 4659.012, w2 = 4560.777, dw = -0.05954, nw = 1651 150506.0033.ec.fits: ap = 72, w1 = 4621.449, w2 = 4524.007, dw = -0.05906, nw = 1651 150506.0033.ec.fits: ap = 73, w1 = 4584.486, w2 = 4487.826, dw = -0.05858, nw = 1651 150506.0033.ec.fits: ap = 74, w1 = 4548.111, w2 = 4452.22, dw = -0.05812, nw = 1651 150506.0033.ec.fits: ap = 75, w1 = 4512.308, w2 = 4417.175, dw = -0.05766, nw = 1651 150506.0033.ec.fits: ap = 76, w1 = 4477.065, w2 = 4382.677, dw = -0.05721, nw = 1651 150506.0033.ec.fits: ap = 77, w1 = 4442.369, w2 = 4348.714, dw = -0.05676, nw = 1651 150506.0033.ec.fits: ap = 78, w1 = 4408.207, w2 = 4315.275, dw = -0.05632, nw = 1651 150506.0033.ec.fits: ap = 79, w1 = 4374.566, w2 = 4282.346, dw = -0.05589, nw = 1651 150506.0033.ec.fits: ap = 80, w1 = 4341.436, w2 = 4249.916, dw = -0.05547, nw = 1651 150506.0033.ec.fits: ap = 81, w1 = 4308.803, w2 = 4217.974, dw = -0.05505, nw = 1651 150506.0033.ec.fits: ap = 82, w1 = 4276.659, w2 = 4186.509, dw = -0.05464, nw = 1651 150506.0033.ec.fits: ap = 83, w1 = 4244.99, w2 = 4155.511, dw = -0.05423, nw = 1651 150506.0033.ec.fits: ap = 84, w1 = 4213.788, w2 = 4124.968, dw = -0.05383, nw = 1651 150506.0033.ec.fits: ap = 85, w1 = 4183.041, w2 = 4094.872, dw = -0.05344, nw = 1651 150506.0033.ec.fits: ap = 86, w1 = 4152.74, w2 = 4065.212, dw = -0.05305, nw = 1651 150506.0033.ec.fits: ap = 87, w1 = 4122.875, w2 = 4035.979, dw = -0.05266, nw = 1651 150506.0033.ec.fits: ap = 88, w1 = 4093.438, w2 = 4007.165, dw = -0.05229, nw = 1651 150506.0033.ec.fits: ap = 89, w1 = 4064.418, w2 = 3978.759, dw = -0.05191, nw = 1651 150506.0033.ec.fits: ap = 90, w1 = 4035.807, w2 = 3950.753, dw = -0.05155, nw = 1651 150506.0033.ec.fits: ap = 91, w1 = 4007.596, w2 = 3923.14, dw = -0.05119, nw = 1651 150506.0033.ec.fits: ap = 92, w1 = 3979.778, w2 = 3895.91, dw = -0.05083, nw = 1651 150506.0033.ec.fits: ap = 93, w1 = 3952.343, w2 = 3869.056, dw = -0.05048, nw = 1651 150506.0033.ec.fits: ap = 94, w1 = 3925.285, w2 = 3842.57, dw = -0.05013, nw = 1651 150506.0033.ec.fits: ap = 95, w1 = 3898.595, w2 = 3816.445, dw = -0.04979, nw = 1651 150506.0033.ec.fits: ap = 96, w1 = 3872.266, w2 = 3790.673, dw = -0.04945, nw = 1651 150506.0033.ec.fits: ap = 97, w1 = 3846.29, w2 = 3765.248, dw = -0.04912, nw = 1651 150506.0033.ec.fits: ap = 98, w1 = 3820.662, w2 = 3740.161, dw = -0.04879, nw = 1651 150506.0033.ec.fits: ap = 99, w1 = 3795.373, w2 = 3715.408, dw = -0.04846, nw = 1651 150506.0033.ec.fits: ap = 100, w1 = 3770.417, w2 = 3690.98, dw = -0.04814, nw = 1651 150506.0033.ec.fits: ap = 101, w1 = 3745.787, w2 = 3666.872, dw = -0.04783, nw = 1651 150506.0033.ec.fits: ap = 102, w1 = 3721.478, w2 = 3643.077, dw = -0.04752, nw = 1651 150506.0033.ec.fits: ap = 103, w1 = 3697.483, w2 = 3619.589, dw = -0.04721, nw = 1651 150506.0033.ec.fits: ap = 104, w1 = 3673.795, w2 = 3596.403, dw = -0.0469, nw = 1651 150506.0033.ec.fits: ap = 105, w1 = 3650.41, w2 = 3573.513, dw = -0.0466, nw = 1651 150506.0033.ec.fits: ap = 106, w1 = 3627.321, w2 = 3550.913, dw = -0.04631, nw = 1651 150506.0033.ec.fits: ap = 107, w1 = 3604.523, w2 = 3528.597, dw = -0.04602, nw = 1651 150506.0033.ec.fits: ap = 108, w1 = 3582.01, w2 = 3506.56, dw = -0.04573, nw = 1651 150506.0033.ec.fits: ap = 109, w1 = 3559.777, w2 = 3484.798, dw = -0.04544, nw = 1651 150506.0033.ec.fits: ap = 110, w1 = 3537.819, w2 = 3463.304, dw = -0.04516, nw = 1651 150506.0033.ec.fits: ap = 111, w1 = 3516.131, w2 = 3442.075, dw = -0.04488, nw = 1651 150506.0033.ec.fits: ap = 112, w1 = 3494.707, w2 = 3421.105, dw = -0.04461, nw = 1651 150506.0033.ec.fits: ap = 113, w1 = 3473.544, w2 = 3400.389, dw = -0.04434, nw = 1651 150506.0033.ec.fits: ap = 114, w1 = 3452.636, w2 = 3379.923, dw = -0.04407, nw = 1651 150506.0033.ec.fits: ap = 115, w1 = 3431.978, w2 = 3359.703, dw = -0.0438, nw = 1651 150506.0034.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' 150506.0034.ec.fits: ap = 1, w1 = 10811.35, w2 = 10583.14, dw = -0.13831, nw = 1651 150506.0034.ec.fits: ap = 2, w1 = 10611.16, w2 = 10387.18, dw = -0.13575, nw = 1651 150506.0034.ec.fits: ap = 3, w1 = 10418.24, w2 = 10198.34, dw = -0.13327, nw = 1651 150506.0034.ec.fits: ap = 4, w1 = 10232.22, w2 = 10016.25, dw = -0.13089, nw = 1651 150506.0034.ec.fits: ap = 5, w1 = 10052.72, w2 = 9840.549, dw = -0.12859, nw = 1651 150506.0034.ec.fits: ap = 6, w1 = 9879.416, w2 = 9670.905, dw = -0.12637, nw = 1651 150506.0034.ec.fits: ap = 7, w1 = 9711.983, w2 = 9507.012, dw = -0.12423, nw = 1651 150506.0034.ec.fits: ap = 8, w1 = 9550.131, w2 = 9348.581, dw = -0.12215, nw = 1651 150506.0034.ec.fits: ap = 9, w1 = 9393.586, w2 = 9195.344, dw = -0.12015, nw = 1651 150506.0034.ec.fits: ap = 10, w1 = 9242.09, w2 = 9047.049, dw = -0.11821, nw = 1651 150506.0034.ec.fits: ap = 11, w1 = 9095.403, w2 = 8903.463, dw = -0.11633, nw = 1651 150506.0034.ec.fits: ap = 12, w1 = 8953.301, w2 = 8764.363, dw = -0.11451, nw = 1651 150506.0034.ec.fits: ap = 13, w1 = 8815.57, w2 = 8629.542, dw = -0.11274, nw = 1651 150506.0034.ec.fits: ap = 14, w1 = 8682.013, w2 = 8498.807, dw = -0.11103, nw = 1651 150506.0034.ec.fits: ap = 15, w1 = 8552.442, w2 = 8371.974, dw = -0.10937, nw = 1651 150506.0034.ec.fits: ap = 16, w1 = 8426.683, w2 = 8248.871, dw = -0.10776, nw = 1651 150506.0034.ec.fits: ap = 17, w1 = 8304.568, w2 = 8129.336, dw = -0.1062, nw = 1651 150506.0034.ec.fits: ap = 18, w1 = 8185.942, w2 = 8013.216, dw = -0.10468, nw = 1651 150506.0034.ec.fits: ap = 19, w1 = 8070.658, w2 = 7900.367, dw = -0.10321, nw = 1651 150506.0034.ec.fits: ap = 20, w1 = 7958.576, w2 = 7790.652, dw = -0.10177, nw = 1651 150506.0034.ec.fits: ap = 21, w1 = 7849.565, w2 = 7683.943, dw = -0.10038, nw = 1651 150506.0034.ec.fits: ap = 22, w1 = 7743.5, w2 = 7580.118, dw = -0.09902, nw = 1651 150506.0034.ec.fits: ap = 23, w1 = 7640.263, w2 = 7479.062, dw = -0.0977, nw = 1651 150506.0034.ec.fits: ap = 24, w1 = 7539.743, w2 = 7380.664, dw = -0.09641, nw = 1651 150506.0034.ec.fits: ap = 25, w1 = 7441.833, w2 = 7284.823, dw = -0.09516, nw = 1651 150506.0034.ec.fits: ap = 26, w1 = 7346.434, w2 = 7191.438, dw = -0.09394, nw = 1651 150506.0034.ec.fits: ap = 27, w1 = 7253.451, w2 = 7100.418, dw = -0.09275, nw = 1651 150506.0034.ec.fits: ap = 28, w1 = 7162.792, w2 = 7011.673, dw = -0.09159, nw = 1651 150506.0034.ec.fits: ap = 29, w1 = 7074.371, w2 = 6925.12, dw = -0.09046, nw = 1651 150506.0034.ec.fits: ap = 30, w1 = 6988.107, w2 = 6840.677, dw = -0.08935, nw = 1651 150506.0034.ec.fits: ap = 31, w1 = 6903.921, w2 = 6758.269, dw = -0.08827, nw = 1651 150506.0034.ec.fits: ap = 32, w1 = 6821.74, w2 = 6677.823, dw = -0.08722, nw = 1651 150506.0034.ec.fits: ap = 33, w1 = 6741.492, w2 = 6599.27, dw = -0.0862, nw = 1651 150506.0034.ec.fits: ap = 34, w1 = 6663.111, w2 = 6522.544, dw = -0.08519, nw = 1651 150506.0034.ec.fits: ap = 35, w1 = 6586.532, w2 = 6447.582, dw = -0.08421, nw = 1651 150506.0034.ec.fits: ap = 36, w1 = 6511.693, w2 = 6374.323, dw = -0.08325, nw = 1651 150506.0034.ec.fits: ap = 37, w1 = 6438.536, w2 = 6302.71, dw = -0.08232, nw = 1651 150506.0034.ec.fits: ap = 38, w1 = 6367.004, w2 = 6232.689, dw = -0.0814, nw = 1651 150506.0034.ec.fits: ap = 39, w1 = 6297.045, w2 = 6164.207, dw = -0.08051, nw = 1651 150506.0034.ec.fits: ap = 40, w1 = 6228.607, w2 = 6097.214, dw = -0.07963, nw = 1651 150506.0034.ec.fits: ap = 41, w1 = 6161.64, w2 = 6031.661, dw = -0.07878, nw = 1651 150506.0034.ec.fits: ap = 42, w1 = 6096.098, w2 = 5967.504, dw = -0.07794, nw = 1651 150506.0034.ec.fits: ap = 43, w1 = 6031.937, w2 = 5904.697, dw = -0.07712, nw = 1651 150506.0034.ec.fits: ap = 44, w1 = 5969.112, w2 = 5843.198, dw = -0.07631, nw = 1651 150506.0034.ec.fits: ap = 45, w1 = 5907.582, w2 = 5782.968, dw = -0.07552, nw = 1651 150506.0034.ec.fits: ap = 46, w1 = 5847.308, w2 = 5723.967, dw = -0.07475, nw = 1651 150506.0034.ec.fits: ap = 47, w1 = 5788.252, w2 = 5666.158, dw = -0.074, nw = 1651 150506.0034.ec.fits: ap = 48, w1 = 5730.377, w2 = 5609.505, dw = -0.07326, nw = 1651 150506.0034.ec.fits: ap = 49, w1 = 5673.648, w2 = 5553.974, dw = -0.07253, nw = 1651 150506.0034.ec.fits: ap = 50, w1 = 5618.032, w2 = 5499.532, dw = -0.07182, nw = 1651 150506.0034.ec.fits: ap = 51, w1 = 5563.495, w2 = 5446.148, dw = -0.07112, nw = 1651 150506.0034.ec.fits: ap = 52, w1 = 5510.008, w2 = 5393.79, dw = -0.07043, nw = 1651 150506.0034.ec.fits: ap = 53, w1 = 5457.539, w2 = 5342.43, dw = -0.06976, nw = 1651 150506.0034.ec.fits: ap = 54, w1 = 5406.06, w2 = 5292.039, dw = -0.0691, nw = 1651 150506.0034.ec.fits: ap = 55, w1 = 5355.544, w2 = 5242.589, dw = -0.06846, nw = 1651 150506.0034.ec.fits: ap = 56, w1 = 5305.964, w2 = 5194.056, dw = -0.06782, nw = 1651 150506.0034.ec.fits: ap = 57, w1 = 5257.293, w2 = 5146.414, dw = -0.0672, nw = 1651 150506.0034.ec.fits: ap = 58, w1 = 5209.507, w2 = 5099.637, dw = -0.06659, nw = 1651 150506.0034.ec.fits: ap = 59, w1 = 5162.582, w2 = 5053.704, dw = -0.06599, nw = 1651 150506.0034.ec.fits: ap = 60, w1 = 5116.496, w2 = 5008.591, dw = -0.0654, nw = 1651 150506.0034.ec.fits: ap = 61, w1 = 5071.225, w2 = 4964.277, dw = -0.06482, nw = 1651 150506.0034.ec.fits: ap = 62, w1 = 5026.749, w2 = 4920.741, dw = -0.06425, nw = 1651 150506.0034.ec.fits: ap = 63, w1 = 4983.046, w2 = 4877.962, dw = -0.06369, nw = 1651 150506.0034.ec.fits: ap = 64, w1 = 4940.097, w2 = 4835.92, dw = -0.06314, nw = 1651 150506.0034.ec.fits: ap = 65, w1 = 4897.882, w2 = 4794.598, dw = -0.0626, nw = 1651 150506.0034.ec.fits: ap = 66, w1 = 4856.383, w2 = 4753.976, dw = -0.06207, nw = 1651 150506.0034.ec.fits: ap = 67, w1 = 4815.582, w2 = 4714.037, dw = -0.06154, nw = 1651 150506.0034.ec.fits: ap = 68, w1 = 4775.461, w2 = 4674.763, dw = -0.06103, nw = 1651 150506.0034.ec.fits: ap = 69, w1 = 4736.003, w2 = 4636.14, dw = -0.06052, nw = 1651 150506.0034.ec.fits: ap = 70, w1 = 4697.192, w2 = 4598.149, dw = -0.06003, nw = 1651 150506.0034.ec.fits: ap = 71, w1 = 4659.012, w2 = 4560.777, dw = -0.05954, nw = 1651 150506.0034.ec.fits: ap = 72, w1 = 4621.449, w2 = 4524.007, dw = -0.05906, nw = 1651 150506.0034.ec.fits: ap = 73, w1 = 4584.486, w2 = 4487.826, dw = -0.05858, nw = 1651 150506.0034.ec.fits: ap = 74, w1 = 4548.111, w2 = 4452.22, dw = -0.05812, nw = 1651 150506.0034.ec.fits: ap = 75, w1 = 4512.308, w2 = 4417.175, dw = -0.05766, nw = 1651 150506.0034.ec.fits: ap = 76, w1 = 4477.065, w2 = 4382.677, dw = -0.05721, nw = 1651 150506.0034.ec.fits: ap = 77, w1 = 4442.369, w2 = 4348.714, dw = -0.05676, nw = 1651 150506.0034.ec.fits: ap = 78, w1 = 4408.207, w2 = 4315.275, dw = -0.05632, nw = 1651 150506.0034.ec.fits: ap = 79, w1 = 4374.566, w2 = 4282.346, dw = -0.05589, nw = 1651 150506.0034.ec.fits: ap = 80, w1 = 4341.436, w2 = 4249.916, dw = -0.05547, nw = 1651 150506.0034.ec.fits: ap = 81, w1 = 4308.803, w2 = 4217.974, dw = -0.05505, nw = 1651 150506.0034.ec.fits: ap = 82, w1 = 4276.659, w2 = 4186.509, dw = -0.05464, nw = 1651 150506.0034.ec.fits: ap = 83, w1 = 4244.99, w2 = 4155.511, dw = -0.05423, nw = 1651 150506.0034.ec.fits: ap = 84, w1 = 4213.788, w2 = 4124.968, dw = -0.05383, nw = 1651 150506.0034.ec.fits: ap = 85, w1 = 4183.041, w2 = 4094.872, dw = -0.05344, nw = 1651 150506.0034.ec.fits: ap = 86, w1 = 4152.74, w2 = 4065.212, dw = -0.05305, nw = 1651 150506.0034.ec.fits: ap = 87, w1 = 4122.875, w2 = 4035.979, dw = -0.05266, nw = 1651 150506.0034.ec.fits: ap = 88, w1 = 4093.438, w2 = 4007.165, dw = -0.05229, nw = 1651 150506.0034.ec.fits: ap = 89, w1 = 4064.418, w2 = 3978.759, dw = -0.05191, nw = 1651 150506.0034.ec.fits: ap = 90, w1 = 4035.807, w2 = 3950.753, dw = -0.05155, nw = 1651 150506.0034.ec.fits: ap = 91, w1 = 4007.596, w2 = 3923.14, dw = -0.05119, nw = 1651 150506.0034.ec.fits: ap = 92, w1 = 3979.778, w2 = 3895.91, dw = -0.05083, nw = 1651 150506.0034.ec.fits: ap = 93, w1 = 3952.343, w2 = 3869.056, dw = -0.05048, nw = 1651 150506.0034.ec.fits: ap = 94, w1 = 3925.285, w2 = 3842.57, dw = -0.05013, nw = 1651 150506.0034.ec.fits: ap = 95, w1 = 3898.595, w2 = 3816.445, dw = -0.04979, nw = 1651 150506.0034.ec.fits: ap = 96, w1 = 3872.266, w2 = 3790.673, dw = -0.04945, nw = 1651 150506.0034.ec.fits: ap = 97, w1 = 3846.29, w2 = 3765.248, dw = -0.04912, nw = 1651 150506.0034.ec.fits: ap = 98, w1 = 3820.662, w2 = 3740.161, dw = -0.04879, nw = 1651 150506.0034.ec.fits: ap = 99, w1 = 3795.373, w2 = 3715.408, dw = -0.04846, nw = 1651 150506.0034.ec.fits: ap = 100, w1 = 3770.417, w2 = 3690.98, dw = -0.04814, nw = 1651 150506.0034.ec.fits: ap = 101, w1 = 3745.787, w2 = 3666.872, dw = -0.04783, nw = 1651 150506.0034.ec.fits: ap = 102, w1 = 3721.478, w2 = 3643.077, dw = -0.04752, nw = 1651 150506.0034.ec.fits: ap = 103, w1 = 3697.483, w2 = 3619.589, dw = -0.04721, nw = 1651 150506.0034.ec.fits: ap = 104, w1 = 3673.795, w2 = 3596.403, dw = -0.0469, nw = 1651 150506.0034.ec.fits: ap = 105, w1 = 3650.41, w2 = 3573.513, dw = -0.0466, nw = 1651 150506.0034.ec.fits: ap = 106, w1 = 3627.321, w2 = 3550.913, dw = -0.04631, nw = 1651 150506.0034.ec.fits: ap = 107, w1 = 3604.523, w2 = 3528.597, dw = -0.04602, nw = 1651 150506.0034.ec.fits: ap = 108, w1 = 3582.01, w2 = 3506.56, dw = -0.04573, nw = 1651 150506.0034.ec.fits: ap = 109, w1 = 3559.777, w2 = 3484.798, dw = -0.04544, nw = 1651 150506.0034.ec.fits: ap = 110, w1 = 3537.819, w2 = 3463.304, dw = -0.04516, nw = 1651 150506.0034.ec.fits: ap = 111, w1 = 3516.131, w2 = 3442.075, dw = -0.04488, nw = 1651 150506.0034.ec.fits: ap = 112, w1 = 3494.707, w2 = 3421.105, dw = -0.04461, nw = 1651 150506.0034.ec.fits: ap = 113, w1 = 3473.544, w2 = 3400.389, dw = -0.04434, nw = 1651 150506.0034.ec.fits: ap = 114, w1 = 3452.636, w2 = 3379.923, dw = -0.04407, nw = 1651 150506.0034.ec.fits: ap = 115, w1 = 3431.978, w2 = 3359.703, dw = -0.0438, nw = 1651 EchelleThAr.0017.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' zEchelleThAr.0017.ec.fits: ap = 1, w1 = 10811.35, w2 = 10583.14, dw = -0.13831, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 2, w1 = 10611.16, w2 = 10387.18, dw = -0.13575, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 3, w1 = 10418.24, w2 = 10198.34, dw = -0.13327, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 4, w1 = 10232.22, w2 = 10016.25, dw = -0.13089, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 5, w1 = 10052.72, w2 = 9840.549, dw = -0.12859, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 6, w1 = 9879.416, w2 = 9670.905, dw = -0.12637, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 7, w1 = 9711.983, w2 = 9507.012, dw = -0.12423, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 8, w1 = 9550.131, w2 = 9348.581, dw = -0.12215, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 9, w1 = 9393.586, w2 = 9195.344, dw = -0.12015, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 10, w1 = 9242.09, w2 = 9047.049, dw = -0.11821, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 11, w1 = 9095.403, w2 = 8903.463, dw = -0.11633, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 12, w1 = 8953.301, w2 = 8764.363, dw = -0.11451, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 13, w1 = 8815.57, w2 = 8629.542, dw = -0.11274, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 14, w1 = 8682.013, w2 = 8498.807, dw = -0.11103, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 15, w1 = 8552.442, w2 = 8371.974, dw = -0.10937, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 16, w1 = 8426.683, w2 = 8248.871, dw = -0.10776, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 17, w1 = 8304.568, w2 = 8129.336, dw = -0.1062, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 18, w1 = 8185.942, w2 = 8013.216, dw = -0.10468, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 19, w1 = 8070.658, w2 = 7900.367, dw = -0.10321, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 20, w1 = 7958.576, w2 = 7790.652, dw = -0.10177, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 21, w1 = 7849.565, w2 = 7683.943, dw = -0.10038, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 22, w1 = 7743.5, w2 = 7580.118, dw = -0.09902, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 23, w1 = 7640.263, w2 = 7479.062, dw = -0.0977, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 24, w1 = 7539.743, w2 = 7380.664, dw = -0.09641, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 25, w1 = 7441.833, w2 = 7284.823, dw = -0.09516, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 26, w1 = 7346.434, w2 = 7191.438, dw = -0.09394, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 27, w1 = 7253.451, w2 = 7100.418, dw = -0.09275, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 28, w1 = 7162.792, w2 = 7011.673, dw = -0.09159, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 29, w1 = 7074.371, w2 = 6925.12, dw = -0.09046, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 30, w1 = 6988.107, w2 = 6840.677, dw = -0.08935, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 31, w1 = 6903.921, w2 = 6758.269, dw = -0.08827, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 32, w1 = 6821.74, w2 = 6677.823, dw = -0.08722, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 33, w1 = 6741.492, w2 = 6599.27, dw = -0.0862, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 34, w1 = 6663.111, w2 = 6522.544, dw = -0.08519, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 35, w1 = 6586.532, w2 = 6447.582, dw = -0.08421, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 36, w1 = 6511.693, w2 = 6374.323, dw = -0.08325, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 37, w1 = 6438.536, w2 = 6302.71, dw = -0.08232, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 38, w1 = 6367.004, w2 = 6232.689, dw = -0.0814, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 39, w1 = 6297.045, w2 = 6164.207, dw = -0.08051, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 40, w1 = 6228.607, w2 = 6097.214, dw = -0.07963, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 41, w1 = 6161.64, w2 = 6031.661, dw = -0.07878, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 42, w1 = 6096.098, w2 = 5967.504, dw = -0.07794, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 43, w1 = 6031.937, w2 = 5904.697, dw = -0.07712, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 44, w1 = 5969.112, w2 = 5843.198, dw = -0.07631, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 45, w1 = 5907.582, w2 = 5782.968, dw = -0.07552, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 46, w1 = 5847.308, w2 = 5723.967, dw = -0.07475, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 47, w1 = 5788.252, w2 = 5666.158, dw = -0.074, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 48, w1 = 5730.377, w2 = 5609.505, dw = -0.07326, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 49, w1 = 5673.648, w2 = 5553.974, dw = -0.07253, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 50, w1 = 5618.032, w2 = 5499.532, dw = -0.07182, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 51, w1 = 5563.495, w2 = 5446.148, dw = -0.07112, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 52, w1 = 5510.008, w2 = 5393.79, dw = -0.07043, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 53, w1 = 5457.539, w2 = 5342.43, dw = -0.06976, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 54, w1 = 5406.06, w2 = 5292.039, dw = -0.0691, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 55, w1 = 5355.544, w2 = 5242.589, dw = -0.06846, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 56, w1 = 5305.964, w2 = 5194.056, dw = -0.06782, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 57, w1 = 5257.293, w2 = 5146.414, dw = -0.0672, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 58, w1 = 5209.507, w2 = 5099.637, dw = -0.06659, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 59, w1 = 5162.582, w2 = 5053.704, dw = -0.06599, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 60, w1 = 5116.496, w2 = 5008.591, dw = -0.0654, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 61, w1 = 5071.225, w2 = 4964.277, dw = -0.06482, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 62, w1 = 5026.749, w2 = 4920.741, dw = -0.06425, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 63, w1 = 4983.046, w2 = 4877.962, dw = -0.06369, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 64, w1 = 4940.097, w2 = 4835.92, dw = -0.06314, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 65, w1 = 4897.882, w2 = 4794.598, dw = -0.0626, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 66, w1 = 4856.383, w2 = 4753.976, dw = -0.06207, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 67, w1 = 4815.582, w2 = 4714.037, dw = -0.06154, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 68, w1 = 4775.461, w2 = 4674.763, dw = -0.06103, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 69, w1 = 4736.003, w2 = 4636.14, dw = -0.06052, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 70, w1 = 4697.192, w2 = 4598.149, dw = -0.06003, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 71, w1 = 4659.012, w2 = 4560.777, dw = -0.05954, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 72, w1 = 4621.449, w2 = 4524.007, dw = -0.05906, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 73, w1 = 4584.486, w2 = 4487.826, dw = -0.05858, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 74, w1 = 4548.111, w2 = 4452.22, dw = -0.05812, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 75, w1 = 4512.308, w2 = 4417.175, dw = -0.05766, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 76, w1 = 4477.065, w2 = 4382.677, dw = -0.05721, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 77, w1 = 4442.369, w2 = 4348.714, dw = -0.05676, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 78, w1 = 4408.207, w2 = 4315.275, dw = -0.05632, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 79, w1 = 4374.566, w2 = 4282.346, dw = -0.05589, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 80, w1 = 4341.436, w2 = 4249.916, dw = -0.05547, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 81, w1 = 4308.803, w2 = 4217.974, dw = -0.05505, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 82, w1 = 4276.659, w2 = 4186.509, dw = -0.05464, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 83, w1 = 4244.99, w2 = 4155.511, dw = -0.05423, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 84, w1 = 4213.788, w2 = 4124.968, dw = -0.05383, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 85, w1 = 4183.041, w2 = 4094.872, dw = -0.05344, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 86, w1 = 4152.74, w2 = 4065.212, dw = -0.05305, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 87, w1 = 4122.875, w2 = 4035.979, dw = -0.05266, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 88, w1 = 4093.438, w2 = 4007.165, dw = -0.05229, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 89, w1 = 4064.418, w2 = 3978.759, dw = -0.05191, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 90, w1 = 4035.807, w2 = 3950.753, dw = -0.05155, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 91, w1 = 4007.596, w2 = 3923.14, dw = -0.05119, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 92, w1 = 3979.778, w2 = 3895.91, dw = -0.05083, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 93, w1 = 3952.343, w2 = 3869.056, dw = -0.05048, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 94, w1 = 3925.285, w2 = 3842.57, dw = -0.05013, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 95, w1 = 3898.595, w2 = 3816.445, dw = -0.04979, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 96, w1 = 3872.266, w2 = 3790.673, dw = -0.04945, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 97, w1 = 3846.29, w2 = 3765.248, dw = -0.04912, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 98, w1 = 3820.662, w2 = 3740.161, dw = -0.04879, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 99, w1 = 3795.373, w2 = 3715.408, dw = -0.04846, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 100, w1 = 3770.417, w2 = 3690.98, dw = -0.04814, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 101, w1 = 3745.787, w2 = 3666.872, dw = -0.04783, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 102, w1 = 3721.478, w2 = 3643.077, dw = -0.04752, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 103, w1 = 3697.483, w2 = 3619.589, dw = -0.04721, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 104, w1 = 3673.795, w2 = 3596.403, dw = -0.0469, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 105, w1 = 3650.41, w2 = 3573.513, dw = -0.0466, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 106, w1 = 3627.321, w2 = 3550.913, dw = -0.04631, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 107, w1 = 3604.523, w2 = 3528.597, dw = -0.04602, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 108, w1 = 3582.01, w2 = 3506.56, dw = -0.04573, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 109, w1 = 3559.777, w2 = 3484.798, dw = -0.04544, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 110, w1 = 3537.819, w2 = 3463.304, dw = -0.04516, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 111, w1 = 3516.131, w2 = 3442.075, dw = -0.04488, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 112, w1 = 3494.707, w2 = 3421.105, dw = -0.04461, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 113, w1 = 3473.544, w2 = 3400.389, dw = -0.04434, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 114, w1 = 3452.636, w2 = 3379.923, dw = -0.04407, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 115, w1 = 3431.978, w2 = 3359.703, dw = -0.0438, nw = 1651 EchelleThAr.0018.ec.fits: REFSPEC1 = 'EchelleThAr.0018.ec 1.' zEchelleThAr.0018.ec.fits: ap = 1, w1 = 10811.36, w2 = 10583.17, dw = -0.13829, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 2, w1 = 10611.17, w2 = 10387.21, dw = -0.13573, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 3, w1 = 10418.25, w2 = 10198.37, dw = -0.13327, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 4, w1 = 10232.23, w2 = 10016.27, dw = -0.13089, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 5, w1 = 10052.73, w2 = 9840.563, dw = -0.12859, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 6, w1 = 9879.427, w2 = 9670.914, dw = -0.12637, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 7, w1 = 9711.994, w2 = 9507.017, dw = -0.12423, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 8, w1 = 9550.142, w2 = 9348.582, dw = -0.12216, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 9, w1 = 9393.596, w2 = 9195.342, dw = -0.12015, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 10, w1 = 9242.1, w2 = 9047.046, dw = -0.11821, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 11, w1 = 9095.413, w2 = 8903.457, dw = -0.11634, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 12, w1 = 8953.31, w2 = 8764.355, dw = -0.11452, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 13, w1 = 8815.579, w2 = 8629.533, dw = -0.11276, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 14, w1 = 8682.021, w2 = 8498.796, dw = -0.11105, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 15, w1 = 8552.451, w2 = 8371.962, dw = -0.10939, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 16, w1 = 8426.691, w2 = 8248.858, dw = -0.10778, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 17, w1 = 8304.576, w2 = 8129.323, dw = -0.10621, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 18, w1 = 8185.949, w2 = 8013.203, dw = -0.10469, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 19, w1 = 8070.665, w2 = 7900.354, dw = -0.10322, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 20, w1 = 7958.583, w2 = 7790.639, dw = -0.10178, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 21, w1 = 7849.571, w2 = 7683.93, dw = -0.10039, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 22, w1 = 7743.506, w2 = 7580.106, dw = -0.09903, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 23, w1 = 7640.269, w2 = 7479.049, dw = -0.09771, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 24, w1 = 7539.748, w2 = 7380.653, dw = -0.09642, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 25, w1 = 7441.839, w2 = 7284.812, dw = -0.09517, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 26, w1 = 7346.44, w2 = 7191.428, dw = -0.09395, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 27, w1 = 7253.456, w2 = 7100.409, dw = -0.09276, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 28, w1 = 7162.797, w2 = 7011.665, dw = -0.0916, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 29, w1 = 7074.376, w2 = 6925.112, dw = -0.09046, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 30, w1 = 6988.112, w2 = 6840.671, dw = -0.08936, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 31, w1 = 6903.927, w2 = 6758.264, dw = -0.08828, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 32, w1 = 6821.746, w2 = 6677.819, dw = -0.08723, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 33, w1 = 6741.499, w2 = 6599.267, dw = -0.0862, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 34, w1 = 6663.118, w2 = 6522.542, dw = -0.0852, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 35, w1 = 6586.539, w2 = 6447.58, dw = -0.08422, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 36, w1 = 6511.701, w2 = 6374.323, dw = -0.08326, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 37, w1 = 6438.544, w2 = 6302.711, dw = -0.08232, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 38, w1 = 6367.013, w2 = 6232.691, dw = -0.08141, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 39, w1 = 6297.054, w2 = 6164.21, dw = -0.08051, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 40, w1 = 6228.616, w2 = 6097.218, dw = -0.07964, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 41, w1 = 6161.65, w2 = 6031.666, dw = -0.07878, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 42, w1 = 6096.109, w2 = 5967.51, dw = -0.07794, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 43, w1 = 6031.948, w2 = 5904.704, dw = -0.07712, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 44, w1 = 5969.123, w2 = 5843.206, dw = -0.07631, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 45, w1 = 5907.594, w2 = 5782.976, dw = -0.07553, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 46, w1 = 5847.321, w2 = 5723.976, dw = -0.07475, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 47, w1 = 5788.266, w2 = 5666.168, dw = -0.074, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 48, w1 = 5730.391, w2 = 5609.516, dw = -0.07326, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 49, w1 = 5673.663, w2 = 5553.985, dw = -0.07253, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 50, w1 = 5618.047, w2 = 5499.544, dw = -0.07182, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 51, w1 = 5563.511, w2 = 5446.16, dw = -0.07112, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 52, w1 = 5510.024, w2 = 5393.803, dw = -0.07044, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 53, w1 = 5457.556, w2 = 5342.442, dw = -0.06977, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 54, w1 = 5406.078, w2 = 5292.051, dw = -0.06911, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 55, w1 = 5355.562, w2 = 5242.602, dw = -0.06846, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 56, w1 = 5305.982, w2 = 5194.069, dw = -0.06783, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 57, w1 = 5257.311, w2 = 5146.427, dw = -0.0672, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 58, w1 = 5209.526, w2 = 5099.65, dw = -0.06659, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 59, w1 = 5162.602, w2 = 5053.717, dw = -0.06599, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 60, w1 = 5116.515, w2 = 5008.604, dw = -0.0654, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 61, w1 = 5071.244, w2 = 4964.289, dw = -0.06482, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 62, w1 = 5026.768, w2 = 4920.752, dw = -0.06425, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 63, w1 = 4983.065, w2 = 4877.972, dw = -0.06369, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 64, w1 = 4940.116, w2 = 4835.93, dw = -0.06314, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 65, w1 = 4897.901, w2 = 4794.607, dw = -0.0626, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 66, w1 = 4856.401, w2 = 4753.984, dw = -0.06207, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 67, w1 = 4815.599, w2 = 4714.044, dw = -0.06155, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 68, w1 = 4775.477, w2 = 4674.77, dw = -0.06103, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 69, w1 = 4736.018, w2 = 4636.145, dw = -0.06053, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 70, w1 = 4697.207, w2 = 4598.153, dw = -0.06003, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 71, w1 = 4659.026, w2 = 4560.779, dw = -0.05954, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 72, w1 = 4621.461, w2 = 4524.008, dw = -0.05906, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 73, w1 = 4584.497, w2 = 4487.826, dw = -0.05859, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 74, w1 = 4548.12, w2 = 4452.218, dw = -0.05812, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 75, w1 = 4512.315, w2 = 4417.171, dw = -0.05766, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 76, w1 = 4477.071, w2 = 4382.671, dw = -0.05721, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 77, w1 = 4442.372, w2 = 4348.707, dw = -0.05677, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 78, w1 = 4408.208, w2 = 4315.265, dw = -0.05633, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 79, w1 = 4374.564, w2 = 4282.333, dw = -0.0559, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 80, w1 = 4341.431, w2 = 4249.901, dw = -0.05547, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 81, w1 = 4308.796, w2 = 4217.957, dw = -0.05505, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 82, w1 = 4276.648, w2 = 4186.49, dw = -0.05464, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 83, w1 = 4244.976, w2 = 4155.489, dw = -0.05423, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 84, w1 = 4213.77, w2 = 4124.943, dw = -0.05383, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 85, w1 = 4183.019, w2 = 4094.844, dw = -0.05344, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 86, w1 = 4152.714, w2 = 4065.182, dw = -0.05305, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 87, w1 = 4122.845, w2 = 4035.946, dw = -0.05267, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 88, w1 = 4093.403, w2 = 4007.128, dw = -0.05229, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 89, w1 = 4064.378, w2 = 3978.719, dw = -0.05191, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 90, w1 = 4035.761, w2 = 3950.71, dw = -0.05155, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 91, w1 = 4007.545, w2 = 3923.093, dw = -0.05118, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 92, w1 = 3979.721, w2 = 3895.859, dw = -0.05083, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 93, w1 = 3952.28, w2 = 3869.002, dw = -0.05047, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 94, w1 = 3925.215, w2 = 3842.512, dw = -0.05012, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 95, w1 = 3898.519, w2 = 3816.383, dw = -0.04978, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 96, w1 = 3872.182, w2 = 3790.608, dw = -0.04944, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 97, w1 = 3846.2, w2 = 3765.178, dw = -0.0491, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 98, w1 = 3820.563, w2 = 3740.087, dw = -0.04877, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 99, w1 = 3795.266, w2 = 3715.329, dw = -0.04845, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 100, w1 = 3770.302, w2 = 3690.897, dw = -0.04812, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 101, w1 = 3745.663, w2 = 3666.785, dw = -0.04781, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 102, w1 = 3721.345, w2 = 3642.985, dw = -0.04749, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 103, w1 = 3697.34, w2 = 3619.493, dw = -0.04718, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 104, w1 = 3673.643, w2 = 3596.303, dw = -0.04687, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 105, w1 = 3650.247, w2 = 3573.407, dw = -0.04657, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 106, w1 = 3627.147, w2 = 3550.802, dw = -0.04627, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 107, w1 = 3604.338, w2 = 3528.481, dw = -0.04597, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 108, w1 = 3581.813, w2 = 3506.44, dw = -0.04568, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 109, w1 = 3559.568, w2 = 3484.672, dw = -0.04539, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 110, w1 = 3537.598, w2 = 3463.173, dw = -0.04511, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 111, w1 = 3515.897, w2 = 3441.938, dw = -0.04482, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 112, w1 = 3494.46, w2 = 3420.963, dw = -0.04454, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 113, w1 = 3473.282, w2 = 3400.241, dw = -0.04427, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 114, w1 = 3452.36, w2 = 3379.77, dw = -0.04399, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 115, w1 = 3431.688, w2 = 3359.544, dw = -0.04372, nw = 1651 EchelleThAr.0019.ec.fits: REFSPEC1 = 'EchelleThAr.0019.ec 1.' zEchelleThAr.0019.ec.fits: ap = 1, w1 = 10811.36, w2 = 10583.2, dw = -0.13828, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 2, w1 = 10611.17, w2 = 10387.24, dw = -0.13572, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 3, w1 = 10418.26, w2 = 10198.4, dw = -0.13325, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 4, w1 = 10232.23, w2 = 10016.3, dw = -0.13087, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 5, w1 = 10052.74, w2 = 9840.591, dw = -0.12857, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 6, w1 = 9879.43, w2 = 9670.941, dw = -0.12636, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 7, w1 = 9711.997, w2 = 9507.043, dw = -0.12421, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 8, w1 = 9550.145, w2 = 9348.607, dw = -0.12214, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 9, w1 = 9393.599, w2 = 9195.366, dw = -0.12014, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 10, w1 = 9242.103, w2 = 9047.068, dw = -0.1182, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 11, w1 = 9095.416, w2 = 8903.477, dw = -0.11633, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 12, w1 = 8953.313, w2 = 8764.374, dw = -0.11451, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 13, w1 = 8815.582, w2 = 8629.551, dw = -0.11275, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 14, w1 = 8682.024, w2 = 8498.813, dw = -0.11104, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 15, w1 = 8552.453, w2 = 8371.977, dw = -0.10938, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 16, w1 = 8426.693, w2 = 8248.872, dw = -0.10777, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 17, w1 = 8304.578, w2 = 8129.336, dw = -0.10621, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 18, w1 = 8185.952, w2 = 8013.214, dw = -0.10469, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 19, w1 = 8070.668, w2 = 7900.364, dw = -0.10321, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 20, w1 = 7958.585, w2 = 7790.648, dw = -0.10178, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 21, w1 = 7849.574, w2 = 7683.938, dw = -0.10039, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 22, w1 = 7743.508, w2 = 7580.112, dw = -0.09903, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 23, w1 = 7640.271, w2 = 7479.055, dw = -0.09771, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 24, w1 = 7539.751, w2 = 7380.657, dw = -0.09642, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 25, w1 = 7441.841, w2 = 7284.816, dw = -0.09517, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 26, w1 = 7346.442, w2 = 7191.431, dw = -0.09395, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 27, w1 = 7253.458, w2 = 7100.411, dw = -0.09276, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 28, w1 = 7162.799, w2 = 7011.666, dw = -0.0916, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 29, w1 = 7074.378, w2 = 6925.113, dw = -0.09046, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 30, w1 = 6988.114, w2 = 6840.671, dw = -0.08936, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 31, w1 = 6903.929, w2 = 6758.264, dw = -0.08828, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 32, w1 = 6821.748, w2 = 6677.818, dw = -0.08723, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 33, w1 = 6741.5, w2 = 6599.266, dw = -0.0862, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 34, w1 = 6663.119, w2 = 6522.541, dw = -0.0852, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 35, w1 = 6586.54, w2 = 6447.579, dw = -0.08422, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 36, w1 = 6511.701, w2 = 6374.321, dw = -0.08326, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 37, w1 = 6438.544, w2 = 6302.71, dw = -0.08232, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 38, w1 = 6367.013, w2 = 6232.69, dw = -0.08141, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 39, w1 = 6297.054, w2 = 6164.209, dw = -0.08051, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 40, w1 = 6228.616, w2 = 6097.216, dw = -0.07964, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 41, w1 = 6161.65, w2 = 6031.665, dw = -0.07878, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 42, w1 = 6096.108, w2 = 5967.508, dw = -0.07794, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 43, w1 = 6031.947, w2 = 5904.703, dw = -0.07712, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 44, w1 = 5969.122, w2 = 5843.205, dw = -0.07631, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 45, w1 = 5907.593, w2 = 5782.976, dw = -0.07553, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 46, w1 = 5847.319, w2 = 5723.976, dw = -0.07475, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 47, w1 = 5788.264, w2 = 5666.168, dw = -0.074, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 48, w1 = 5730.389, w2 = 5609.517, dw = -0.07326, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 49, w1 = 5673.66, w2 = 5553.987, dw = -0.07253, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 50, w1 = 5618.044, w2 = 5499.546, dw = -0.07182, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 51, w1 = 5563.508, w2 = 5446.163, dw = -0.07112, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 52, w1 = 5510.021, w2 = 5393.806, dw = -0.07043, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 53, w1 = 5457.552, w2 = 5342.446, dw = -0.06976, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 54, w1 = 5406.074, w2 = 5292.056, dw = -0.0691, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 55, w1 = 5355.558, w2 = 5242.608, dw = -0.06845, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 56, w1 = 5305.977, w2 = 5194.075, dw = -0.06782, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 57, w1 = 5257.306, w2 = 5146.433, dw = -0.0672, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 58, w1 = 5209.521, w2 = 5099.657, dw = -0.06658, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 59, w1 = 5162.596, w2 = 5053.725, dw = -0.06598, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 60, w1 = 5116.509, w2 = 5008.612, dw = -0.06539, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 61, w1 = 5071.238, w2 = 4964.298, dw = -0.06481, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 62, w1 = 5026.762, w2 = 4920.762, dw = -0.06424, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 63, w1 = 4983.059, w2 = 4877.982, dw = -0.06368, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 64, w1 = 4940.109, w2 = 4835.941, dw = -0.06313, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 65, w1 = 4897.894, w2 = 4794.618, dw = -0.06259, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 66, w1 = 4856.394, w2 = 4753.996, dw = -0.06206, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 67, w1 = 4815.592, w2 = 4714.056, dw = -0.06154, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 68, w1 = 4775.47, w2 = 4674.782, dw = -0.06102, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 69, w1 = 4736.011, w2 = 4636.157, dw = -0.06052, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 70, w1 = 4697.199, w2 = 4598.166, dw = -0.06002, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 71, w1 = 4659.018, w2 = 4560.792, dw = -0.05953, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 72, w1 = 4621.453, w2 = 4524.021, dw = -0.05905, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 73, w1 = 4584.489, w2 = 4487.839, dw = -0.05858, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 74, w1 = 4548.112, w2 = 4452.231, dw = -0.05811, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 75, w1 = 4512.308, w2 = 4417.183, dw = -0.05765, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 76, w1 = 4477.063, w2 = 4382.684, dw = -0.0572, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 77, w1 = 4442.365, w2 = 4348.719, dw = -0.05676, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 78, w1 = 4408.2, w2 = 4315.276, dw = -0.05632, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 79, w1 = 4374.557, w2 = 4282.345, dw = -0.05589, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 80, w1 = 4341.424, w2 = 4249.912, dw = -0.05546, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 81, w1 = 4308.789, w2 = 4217.967, dw = -0.05504, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 82, w1 = 4276.641, w2 = 4186.498, dw = -0.05463, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 83, w1 = 4244.97, w2 = 4155.496, dw = -0.05423, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 84, w1 = 4213.764, w2 = 4124.95, dw = -0.05383, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 85, w1 = 4183.014, w2 = 4094.85, dw = -0.05343, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 86, w1 = 4152.709, w2 = 4065.185, dw = -0.05304, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 87, w1 = 4122.841, w2 = 4035.948, dw = -0.05266, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 88, w1 = 4093.399, w2 = 4007.128, dw = -0.05229, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 89, w1 = 4064.374, w2 = 3978.717, dw = -0.05191, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 90, w1 = 4035.759, w2 = 3950.706, dw = -0.05155, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 91, w1 = 4007.543, w2 = 3923.087, dw = -0.05119, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 92, w1 = 3979.72, w2 = 3895.851, dw = -0.05083, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 93, w1 = 3952.28, w2 = 3868.991, dw = -0.05048, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 94, w1 = 3925.216, w2 = 3842.498, dw = -0.05013, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 95, w1 = 3898.52, w2 = 3816.366, dw = -0.04979, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 96, w1 = 3872.185, w2 = 3790.587, dw = -0.04945, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 97, w1 = 3846.203, w2 = 3765.154, dw = -0.04912, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 98, w1 = 3820.567, w2 = 3740.06, dw = -0.04879, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 99, w1 = 3795.272, w2 = 3715.298, dw = -0.04847, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 100, w1 = 3770.308, w2 = 3690.862, dw = -0.04815, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 101, w1 = 3745.671, w2 = 3666.745, dw = -0.04783, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 102, w1 = 3721.354, w2 = 3642.941, dw = -0.04752, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 103, w1 = 3697.351, w2 = 3619.444, dw = -0.04722, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 104, w1 = 3673.655, w2 = 3596.248, dw = -0.04691, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 105, w1 = 3650.261, w2 = 3573.348, dw = -0.04661, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 106, w1 = 3627.163, w2 = 3550.737, dw = -0.04632, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 107, w1 = 3604.355, w2 = 3528.41, dw = -0.04603, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 108, w1 = 3581.832, w2 = 3506.362, dw = -0.04574, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 109, w1 = 3559.589, w2 = 3484.588, dw = -0.04546, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 110, w1 = 3537.62, w2 = 3463.083, dw = -0.04517, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 111, w1 = 3515.921, w2 = 3441.841, dw = -0.0449, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 112, w1 = 3494.486, w2 = 3420.858, dw = -0.04462, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 113, w1 = 3473.311, w2 = 3400.129, dw = -0.04435, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 114, w1 = 3452.391, w2 = 3379.649, dw = -0.04409, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 115, w1 = 3431.721, w2 = 3359.415, dw = -0.04382, nw = 1651 EchelleThAr.0020.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' zEchelleThAr.0020.ec.fits: ap = 1, w1 = 10811.36, w2 = 10583.14, dw = -0.13831, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 2, w1 = 10611.17, w2 = 10387.18, dw = -0.13575, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 3, w1 = 10418.25, w2 = 10198.34, dw = -0.13328, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 4, w1 = 10232.23, w2 = 10016.25, dw = -0.1309, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 5, w1 = 10052.73, w2 = 9840.544, dw = -0.1286, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 6, w1 = 9879.426, w2 = 9670.898, dw = -0.12638, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 7, w1 = 9711.994, w2 = 9507.003, dw = -0.12424, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 8, w1 = 9550.141, w2 = 9348.571, dw = -0.12216, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 9, w1 = 9393.596, w2 = 9195.333, dw = -0.12016, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 10, w1 = 9242.099, w2 = 9047.038, dw = -0.11822, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 11, w1 = 9095.412, w2 = 8903.451, dw = -0.11634, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 12, w1 = 8953.309, w2 = 8764.35, dw = -0.11452, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 13, w1 = 8815.578, w2 = 8629.529, dw = -0.11276, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 14, w1 = 8682.02, w2 = 8498.794, dw = -0.11105, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 15, w1 = 8552.449, w2 = 8371.961, dw = -0.10939, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 16, w1 = 8426.689, w2 = 8248.858, dw = -0.10778, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 17, w1 = 8304.574, w2 = 8129.323, dw = -0.10621, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 18, w1 = 8185.947, w2 = 8013.204, dw = -0.10469, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 19, w1 = 8070.663, w2 = 7900.355, dw = -0.10322, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 20, w1 = 7958.58, w2 = 7790.641, dw = -0.10178, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 21, w1 = 7849.568, w2 = 7683.933, dw = -0.10039, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 22, w1 = 7743.503, w2 = 7580.108, dw = -0.09903, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 23, w1 = 7640.265, w2 = 7479.052, dw = -0.09771, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 24, w1 = 7539.745, w2 = 7380.656, dw = -0.09642, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 25, w1 = 7441.835, w2 = 7284.815, dw = -0.09516, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 26, w1 = 7346.436, w2 = 7191.431, dw = -0.09394, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 27, w1 = 7253.452, w2 = 7100.412, dw = -0.09275, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 28, w1 = 7162.793, w2 = 7011.668, dw = -0.09159, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 29, w1 = 7074.372, w2 = 6925.115, dw = -0.09046, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 30, w1 = 6988.108, w2 = 6840.673, dw = -0.08935, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 31, w1 = 6903.923, w2 = 6758.266, dw = -0.08828, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 32, w1 = 6821.742, w2 = 6677.821, dw = -0.08722, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 33, w1 = 6741.494, w2 = 6599.269, dw = -0.0862, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 34, w1 = 6663.113, w2 = 6522.543, dw = -0.08519, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 35, w1 = 6586.534, w2 = 6447.582, dw = -0.08421, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 36, w1 = 6511.695, w2 = 6374.324, dw = -0.08326, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 37, w1 = 6438.539, w2 = 6302.712, dw = -0.08232, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 38, w1 = 6367.008, w2 = 6232.692, dw = -0.0814, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 39, w1 = 6297.049, w2 = 6164.21, dw = -0.08051, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 40, w1 = 6228.611, w2 = 6097.218, dw = -0.07963, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 41, w1 = 6161.645, w2 = 6031.666, dw = -0.07878, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 42, w1 = 6096.104, w2 = 5967.509, dw = -0.07794, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 43, w1 = 6031.943, w2 = 5904.702, dw = -0.07712, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 44, w1 = 5969.118, w2 = 5843.205, dw = -0.07631, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 45, w1 = 5907.589, w2 = 5782.975, dw = -0.07552, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 46, w1 = 5847.316, w2 = 5723.974, dw = -0.07475, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 47, w1 = 5788.26, w2 = 5666.166, dw = -0.074, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 48, w1 = 5730.386, w2 = 5609.513, dw = -0.07326, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 49, w1 = 5673.658, w2 = 5553.983, dw = -0.07253, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 50, w1 = 5618.042, w2 = 5499.541, dw = -0.07182, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 51, w1 = 5563.507, w2 = 5446.157, dw = -0.07112, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 52, w1 = 5510.02, w2 = 5393.799, dw = -0.07044, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 53, w1 = 5457.552, w2 = 5342.439, dw = -0.06977, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 54, w1 = 5406.074, w2 = 5292.048, dw = -0.06911, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 55, w1 = 5355.558, w2 = 5242.599, dw = -0.06846, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 56, w1 = 5305.978, w2 = 5194.066, dw = -0.06783, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 57, w1 = 5257.308, w2 = 5146.423, dw = -0.0672, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 58, w1 = 5209.523, w2 = 5099.647, dw = -0.06659, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 59, w1 = 5162.599, w2 = 5053.714, dw = -0.06599, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 60, w1 = 5116.512, w2 = 5008.601, dw = -0.0654, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 61, w1 = 5071.242, w2 = 4964.286, dw = -0.06482, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 62, w1 = 5026.766, w2 = 4920.749, dw = -0.06425, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 63, w1 = 4983.063, w2 = 4877.97, dw = -0.06369, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 64, w1 = 4940.115, w2 = 4835.928, dw = -0.06314, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 65, w1 = 4897.9, w2 = 4794.605, dw = -0.0626, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 66, w1 = 4856.401, w2 = 4753.983, dw = -0.06207, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 67, w1 = 4815.599, w2 = 4714.043, dw = -0.06155, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 68, w1 = 4775.478, w2 = 4674.769, dw = -0.06104, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 69, w1 = 4736.019, w2 = 4636.145, dw = -0.06053, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 70, w1 = 4697.208, w2 = 4598.154, dw = -0.06003, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 71, w1 = 4659.028, w2 = 4560.78, dw = -0.05954, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 72, w1 = 4621.463, w2 = 4524.01, dw = -0.05906, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 73, w1 = 4584.5, w2 = 4487.828, dw = -0.05859, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 74, w1 = 4548.124, w2 = 4452.221, dw = -0.05812, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 75, w1 = 4512.32, w2 = 4417.174, dw = -0.05766, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 76, w1 = 4477.076, w2 = 4382.676, dw = -0.05721, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 77, w1 = 4442.378, w2 = 4348.712, dw = -0.05677, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 78, w1 = 4408.214, w2 = 4315.271, dw = -0.05633, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 79, w1 = 4374.572, w2 = 4282.341, dw = -0.0559, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 80, w1 = 4341.439, w2 = 4249.91, dw = -0.05547, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 81, w1 = 4308.805, w2 = 4217.967, dw = -0.05505, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 82, w1 = 4276.657, w2 = 4186.5, dw = -0.05464, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 83, w1 = 4244.986, w2 = 4155.5, dw = -0.05423, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 84, w1 = 4213.781, w2 = 4124.956, dw = -0.05383, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 85, w1 = 4183.031, w2 = 4094.859, dw = -0.05344, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 86, w1 = 4152.727, w2 = 4065.197, dw = -0.05305, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 87, w1 = 4122.859, w2 = 4035.963, dw = -0.05266, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 88, w1 = 4093.417, w2 = 4007.146, dw = -0.05229, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 89, w1 = 4064.393, w2 = 3978.739, dw = -0.05191, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 90, w1 = 4035.778, w2 = 3950.731, dw = -0.05154, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 91, w1 = 4007.563, w2 = 3923.116, dw = -0.05118, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 92, w1 = 3979.74, w2 = 3895.884, dw = -0.05082, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 93, w1 = 3952.3, w2 = 3869.028, dw = -0.05047, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 94, w1 = 3925.236, w2 = 3842.541, dw = -0.05012, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 95, w1 = 3898.541, w2 = 3816.414, dw = -0.04977, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 96, w1 = 3872.206, w2 = 3790.64, dw = -0.04943, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 97, w1 = 3846.224, w2 = 3765.212, dw = -0.0491, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 98, w1 = 3820.589, w2 = 3740.123, dw = -0.04877, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 99, w1 = 3795.293, w2 = 3715.368, dw = -0.04844, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 100, w1 = 3770.33, w2 = 3690.938, dw = -0.04812, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 101, w1 = 3745.693, w2 = 3666.827, dw = -0.0478, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 102, w1 = 3721.376, w2 = 3643.03, dw = -0.04748, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 103, w1 = 3697.372, w2 = 3619.54, dw = -0.04717, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 104, w1 = 3673.676, w2 = 3596.352, dw = -0.04686, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 105, w1 = 3650.282, w2 = 3573.459, dw = -0.04656, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 106, w1 = 3627.184, w2 = 3550.856, dw = -0.04626, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 107, w1 = 3604.376, w2 = 3528.538, dw = -0.04596, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 108, w1 = 3581.853, w2 = 3506.499, dw = -0.04567, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 109, w1 = 3559.609, w2 = 3484.734, dw = -0.04538, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 110, w1 = 3537.64, w2 = 3463.238, dw = -0.04509, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 111, w1 = 3515.94, w2 = 3442.006, dw = -0.04481, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 112, w1 = 3494.505, w2 = 3421.033, dw = -0.04453, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 113, w1 = 3473.329, w2 = 3400.314, dw = -0.04425, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 114, w1 = 3452.408, w2 = 3379.846, dw = -0.04398, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 115, w1 = 3431.738, w2 = 3359.622, dw = -0.04371, nw = 1651 EchelleThAr.0021.ec.fits: REFSPEC1 = 'EchelleThAr.0021.ec 1.' zEchelleThAr.0021.ec.fits: ap = 1, w1 = 10811.43, w2 = 10583.14, dw = -0.13836, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 2, w1 = 10611.23, w2 = 10387.18, dw = -0.13579, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 3, w1 = 10418.3, w2 = 10198.34, dw = -0.13331, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 4, w1 = 10232.27, w2 = 10016.25, dw = -0.13092, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 5, w1 = 10052.76, w2 = 9840.542, dw = -0.12862, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 6, w1 = 9879.448, w2 = 9670.896, dw = -0.12639, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 7, w1 = 9712.008, w2 = 9507.001, dw = -0.12425, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 8, w1 = 9550.15, w2 = 9348.568, dw = -0.12217, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 9, w1 = 9393.599, w2 = 9195.329, dw = -0.12016, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 10, w1 = 9242.099, w2 = 9047.034, dw = -0.11822, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 11, w1 = 9095.408, w2 = 8903.446, dw = -0.11634, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 12, w1 = 8953.302, w2 = 8764.344, dw = -0.11452, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 13, w1 = 8815.569, w2 = 8629.523, dw = -0.11275, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 14, w1 = 8682.009, w2 = 8498.787, dw = -0.11104, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 15, w1 = 8552.437, w2 = 8371.953, dw = -0.10938, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 16, w1 = 8426.676, w2 = 8248.85, dw = -0.10777, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 17, w1 = 8304.56, w2 = 8129.315, dw = -0.10621, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 18, w1 = 8185.933, w2 = 8013.195, dw = -0.10469, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 19, w1 = 8070.648, w2 = 7900.346, dw = -0.10321, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 20, w1 = 7958.566, w2 = 7790.631, dw = -0.10178, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 21, w1 = 7849.555, w2 = 7683.922, dw = -0.10038, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 22, w1 = 7743.489, w2 = 7580.097, dw = -0.09903, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 23, w1 = 7640.253, w2 = 7479.041, dw = -0.0977, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 24, w1 = 7539.733, w2 = 7380.644, dw = -0.09642, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 25, w1 = 7441.825, w2 = 7284.803, dw = -0.09516, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 26, w1 = 7346.426, w2 = 7191.42, dw = -0.09394, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 27, w1 = 7253.444, w2 = 7100.4, dw = -0.09275, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 28, w1 = 7162.785, w2 = 7011.656, dw = -0.09159, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 29, w1 = 7074.366, w2 = 6925.103, dw = -0.09046, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 30, w1 = 6988.102, w2 = 6840.661, dw = -0.08936, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 31, w1 = 6903.918, w2 = 6758.255, dw = -0.08828, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 32, w1 = 6821.738, w2 = 6677.81, dw = -0.08723, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 33, w1 = 6741.492, w2 = 6599.258, dw = -0.0862, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 34, w1 = 6663.112, w2 = 6522.533, dw = -0.0852, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 35, w1 = 6586.534, w2 = 6447.571, dw = -0.08422, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 36, w1 = 6511.696, w2 = 6374.314, dw = -0.08326, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 37, w1 = 6438.54, w2 = 6302.703, dw = -0.08233, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 38, w1 = 6367.01, w2 = 6232.683, dw = -0.08141, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 39, w1 = 6297.052, w2 = 6164.202, dw = -0.08052, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 40, w1 = 6228.614, w2 = 6097.21, dw = -0.07964, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 41, w1 = 6161.649, w2 = 6031.658, dw = -0.07878, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 42, w1 = 6096.108, w2 = 5967.502, dw = -0.07794, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 43, w1 = 6031.948, w2 = 5904.696, dw = -0.07712, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 44, w1 = 5969.123, w2 = 5843.199, dw = -0.07632, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 45, w1 = 5907.595, w2 = 5782.97, dw = -0.07553, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 46, w1 = 5847.322, w2 = 5723.97, dw = -0.07476, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 47, w1 = 5788.266, w2 = 5666.162, dw = -0.074, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 48, w1 = 5730.392, w2 = 5609.51, dw = -0.07326, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 49, w1 = 5673.664, w2 = 5553.981, dw = -0.07254, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 50, w1 = 5618.048, w2 = 5499.54, dw = -0.07182, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 51, w1 = 5563.512, w2 = 5446.156, dw = -0.07112, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 52, w1 = 5510.025, w2 = 5393.799, dw = -0.07044, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 53, w1 = 5457.556, w2 = 5342.44, dw = -0.06977, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 54, w1 = 5406.078, w2 = 5292.049, dw = -0.06911, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 55, w1 = 5355.562, w2 = 5242.601, dw = -0.06846, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 56, w1 = 5305.981, w2 = 5194.068, dw = -0.06783, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 57, w1 = 5257.31, w2 = 5146.426, dw = -0.0672, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 58, w1 = 5209.524, w2 = 5099.65, dw = -0.06659, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 59, w1 = 5162.599, w2 = 5053.717, dw = -0.06599, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 60, w1 = 5116.513, w2 = 5008.605, dw = -0.0654, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 61, w1 = 5071.241, w2 = 4964.291, dw = -0.06482, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 62, w1 = 5026.765, w2 = 4920.754, dw = -0.06425, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 63, w1 = 4983.061, w2 = 4877.975, dw = -0.06369, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 64, w1 = 4940.112, w2 = 4835.933, dw = -0.06314, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 65, w1 = 4897.896, w2 = 4794.61, dw = -0.0626, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 66, w1 = 4856.396, w2 = 4753.987, dw = -0.06207, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 67, w1 = 4815.594, w2 = 4714.047, dw = -0.06154, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 68, w1 = 4775.472, w2 = 4674.773, dw = -0.06103, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 69, w1 = 4736.013, w2 = 4636.148, dw = -0.06052, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 70, w1 = 4697.2, w2 = 4598.157, dw = -0.06003, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 71, w1 = 4659.02, w2 = 4560.783, dw = -0.05954, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 72, w1 = 4621.455, w2 = 4524.011, dw = -0.05906, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 73, w1 = 4584.491, w2 = 4487.829, dw = -0.05858, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 74, w1 = 4548.114, w2 = 4452.22, dw = -0.05812, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 75, w1 = 4512.31, w2 = 4417.173, dw = -0.05766, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 76, w1 = 4477.065, w2 = 4382.673, dw = -0.05721, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 77, w1 = 4442.367, w2 = 4348.707, dw = -0.05676, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 78, w1 = 4408.203, w2 = 4315.265, dw = -0.05633, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 79, w1 = 4374.561, w2 = 4282.333, dw = -0.0559, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 80, w1 = 4341.429, w2 = 4249.9, dw = -0.05547, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 81, w1 = 4308.795, w2 = 4217.954, dw = -0.05505, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 82, w1 = 4276.648, w2 = 4186.486, dw = -0.05464, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 83, w1 = 4244.977, w2 = 4155.483, dw = -0.05424, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 84, w1 = 4213.773, w2 = 4124.936, dw = -0.05384, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 85, w1 = 4183.024, w2 = 4094.836, dw = -0.05345, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 86, w1 = 4152.721, w2 = 4065.171, dw = -0.05306, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 87, w1 = 4122.854, w2 = 4035.933, dw = -0.05268, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 88, w1 = 4093.414, w2 = 4007.113, dw = -0.0523, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 89, w1 = 4064.392, w2 = 3978.701, dw = -0.05193, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 90, w1 = 4035.779, w2 = 3950.69, dw = -0.05157, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 91, w1 = 4007.566, w2 = 3923.07, dw = -0.05121, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 92, w1 = 3979.746, w2 = 3895.834, dw = -0.05086, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 93, w1 = 3952.309, w2 = 3868.973, dw = -0.05051, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 94, w1 = 3925.248, w2 = 3842.48, dw = -0.05016, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 95, w1 = 3898.556, w2 = 3816.347, dw = -0.04982, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 96, w1 = 3872.225, w2 = 3790.568, dw = -0.04949, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 97, w1 = 3846.247, w2 = 3765.134, dw = -0.04916, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 98, w1 = 3820.616, w2 = 3740.039, dw = -0.04883, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 99, w1 = 3795.325, w2 = 3715.277, dw = -0.04851, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 100, w1 = 3770.367, w2 = 3690.84, dw = -0.0482, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 101, w1 = 3745.735, w2 = 3666.722, dw = -0.04789, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 102, w1 = 3721.424, w2 = 3642.917, dw = -0.04758, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 103, w1 = 3697.426, w2 = 3619.42, dw = -0.04728, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 104, w1 = 3673.737, w2 = 3596.223, dw = -0.04698, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 105, w1 = 3650.349, w2 = 3573.321, dw = -0.04668, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 106, w1 = 3627.258, w2 = 3550.71, dw = -0.04639, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 107, w1 = 3604.458, w2 = 3528.382, dw = -0.04611, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 108, w1 = 3581.943, w2 = 3506.333, dw = -0.04582, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 109, w1 = 3559.709, w2 = 3484.558, dw = -0.04555, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 110, w1 = 3537.749, w2 = 3463.052, dw = -0.04527, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 111, w1 = 3516.059, w2 = 3441.809, dw = -0.045, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 112, w1 = 3494.634, w2 = 3420.825, dw = -0.04473, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 113, w1 = 3473.469, w2 = 3400.095, dw = -0.04447, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 114, w1 = 3452.559, w2 = 3379.614, dw = -0.04421, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 115, w1 = 3431.9, w2 = 3359.378, dw = -0.04395, nw = 1651 EchelleThAr.0024.ec.fits: REFSPEC1 = 'EchelleThAr.0024.ec 1.' zEchelleThAr.0024.ec.fits: ap = 1, w1 = 10811.44, w2 = 10583.21, dw = -0.13833, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 2, w1 = 10611.24, w2 = 10387.24, dw = -0.13576, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 3, w1 = 10418.32, w2 = 10198.39, dw = -0.13329, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 4, w1 = 10232.28, w2 = 10016.29, dw = -0.1309, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 5, w1 = 10052.78, w2 = 9840.582, dw = -0.1286, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 6, w1 = 9879.464, w2 = 9670.931, dw = -0.12638, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 7, w1 = 9712.024, w2 = 9507.03, dw = -0.12424, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 8, w1 = 9550.166, w2 = 9348.594, dw = -0.12217, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 9, w1 = 9393.615, w2 = 9195.352, dw = -0.12016, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 10, w1 = 9242.115, w2 = 9047.053, dw = -0.11822, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 11, w1 = 9095.424, w2 = 8903.462, dw = -0.11634, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 12, w1 = 8953.317, w2 = 8764.359, dw = -0.11452, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 13, w1 = 8815.583, w2 = 8629.536, dw = -0.11276, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 14, w1 = 8682.023, w2 = 8498.798, dw = -0.11105, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 15, w1 = 8552.45, w2 = 8371.963, dw = -0.10939, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 16, w1 = 8426.689, w2 = 8248.859, dw = -0.10778, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 17, w1 = 8304.572, w2 = 8129.322, dw = -0.10621, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 18, w1 = 8185.945, w2 = 8013.201, dw = -0.10469, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 19, w1 = 8070.66, w2 = 7900.352, dw = -0.10322, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 20, w1 = 7958.577, w2 = 7790.637, dw = -0.10178, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 21, w1 = 7849.565, w2 = 7683.928, dw = -0.10039, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 22, w1 = 7743.499, w2 = 7580.103, dw = -0.09903, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 23, w1 = 7640.262, w2 = 7479.046, dw = -0.09771, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 24, w1 = 7539.742, w2 = 7380.649, dw = -0.09642, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 25, w1 = 7441.832, w2 = 7284.808, dw = -0.09517, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 26, w1 = 7346.434, w2 = 7191.425, dw = -0.09394, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 27, w1 = 7253.45, w2 = 7100.405, dw = -0.09275, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 28, w1 = 7162.791, w2 = 7011.661, dw = -0.09159, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 29, w1 = 7074.371, w2 = 6925.109, dw = -0.09046, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 30, w1 = 6988.108, w2 = 6840.667, dw = -0.08936, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 31, w1 = 6903.923, w2 = 6758.26, dw = -0.08828, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 32, w1 = 6821.742, w2 = 6677.815, dw = -0.08723, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 33, w1 = 6741.496, w2 = 6599.264, dw = -0.0862, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 34, w1 = 6663.115, w2 = 6522.539, dw = -0.0852, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 35, w1 = 6586.537, w2 = 6447.577, dw = -0.08422, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 36, w1 = 6511.699, w2 = 6374.32, dw = -0.08326, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 37, w1 = 6438.542, w2 = 6302.709, dw = -0.08232, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 38, w1 = 6367.012, w2 = 6232.689, dw = -0.08141, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 39, w1 = 6297.053, w2 = 6164.208, dw = -0.08051, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 40, w1 = 6228.616, w2 = 6097.216, dw = -0.07964, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 41, w1 = 6161.65, w2 = 6031.664, dw = -0.07878, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 42, w1 = 6096.109, w2 = 5967.507, dw = -0.07794, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 43, w1 = 6031.948, w2 = 5904.701, dw = -0.07712, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 44, w1 = 5969.124, w2 = 5843.204, dw = -0.07632, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 45, w1 = 5907.595, w2 = 5782.974, dw = -0.07553, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 46, w1 = 5847.322, w2 = 5723.974, dw = -0.07476, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 47, w1 = 5788.266, w2 = 5666.166, dw = -0.074, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 48, w1 = 5730.392, w2 = 5609.514, dw = -0.07326, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 49, w1 = 5673.664, w2 = 5553.984, dw = -0.07253, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 50, w1 = 5618.048, w2 = 5499.543, dw = -0.07182, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 51, w1 = 5563.512, w2 = 5446.158, dw = -0.07112, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 52, w1 = 5510.025, w2 = 5393.801, dw = -0.07044, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 53, w1 = 5457.556, w2 = 5342.441, dw = -0.06977, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 54, w1 = 5406.078, w2 = 5292.05, dw = -0.06911, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 55, w1 = 5355.562, w2 = 5242.601, dw = -0.06846, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 56, w1 = 5305.981, w2 = 5194.068, dw = -0.06783, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 57, w1 = 5257.311, w2 = 5146.425, dw = -0.0672, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 58, w1 = 5209.525, w2 = 5099.649, dw = -0.06659, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 59, w1 = 5162.6, w2 = 5053.715, dw = -0.06599, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 60, w1 = 5116.513, w2 = 5008.602, dw = -0.0654, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 61, w1 = 5071.242, w2 = 4964.288, dw = -0.06482, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 62, w1 = 5026.766, w2 = 4920.751, dw = -0.06425, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 63, w1 = 4983.063, w2 = 4877.971, dw = -0.06369, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 64, w1 = 4940.113, w2 = 4835.929, dw = -0.06314, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 65, w1 = 4897.898, w2 = 4794.605, dw = -0.0626, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 66, w1 = 4856.398, w2 = 4753.983, dw = -0.06207, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 67, w1 = 4815.596, w2 = 4714.042, dw = -0.06155, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 68, w1 = 4775.474, w2 = 4674.768, dw = -0.06103, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 69, w1 = 4736.015, w2 = 4636.143, dw = -0.06053, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 70, w1 = 4697.203, w2 = 4598.152, dw = -0.06003, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 71, w1 = 4659.022, w2 = 4560.778, dw = -0.05954, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 72, w1 = 4621.458, w2 = 4524.007, dw = -0.05906, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 73, w1 = 4584.494, w2 = 4487.825, dw = -0.05859, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 74, w1 = 4548.117, w2 = 4452.217, dw = -0.05812, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 75, w1 = 4512.313, w2 = 4417.169, dw = -0.05766, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 76, w1 = 4477.069, w2 = 4382.67, dw = -0.05721, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 77, w1 = 4442.371, w2 = 4348.706, dw = -0.05677, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 78, w1 = 4408.207, w2 = 4315.264, dw = -0.05633, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 79, w1 = 4374.565, w2 = 4282.333, dw = -0.0559, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 80, w1 = 4341.433, w2 = 4249.901, dw = -0.05547, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 81, w1 = 4308.799, w2 = 4217.957, dw = -0.05506, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 82, w1 = 4276.652, w2 = 4186.49, dw = -0.05464, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 83, w1 = 4244.982, w2 = 4155.489, dw = -0.05424, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 84, w1 = 4213.777, w2 = 4124.945, dw = -0.05384, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 85, w1 = 4183.028, w2 = 4094.846, dw = -0.05344, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 86, w1 = 4152.725, w2 = 4065.184, dw = -0.05306, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 87, w1 = 4122.858, w2 = 4035.949, dw = -0.05267, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 88, w1 = 4093.418, w2 = 4007.131, dw = -0.0523, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 89, w1 = 4064.396, w2 = 3978.723, dw = -0.05192, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 90, w1 = 4035.783, w2 = 3950.714, dw = -0.05156, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 91, w1 = 4007.57, w2 = 3923.098, dw = -0.0512, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 92, w1 = 3979.749, w2 = 3895.866, dw = -0.05084, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 93, w1 = 3952.312, w2 = 3869.009, dw = -0.05049, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 94, w1 = 3925.251, w2 = 3842.52, dw = -0.05014, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 95, w1 = 3898.558, w2 = 3816.392, dw = -0.0498, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 96, w1 = 3872.226, w2 = 3790.617, dw = -0.04946, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 97, w1 = 3846.248, w2 = 3765.189, dw = -0.04913, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 98, w1 = 3820.617, w2 = 3740.1, dw = -0.0488, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 99, w1 = 3795.325, w2 = 3715.343, dw = -0.04847, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 100, w1 = 3770.366, w2 = 3690.912, dw = -0.04815, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 101, w1 = 3745.734, w2 = 3666.801, dw = -0.04784, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 102, w1 = 3721.422, w2 = 3643.003, dw = -0.04753, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 103, w1 = 3697.424, w2 = 3619.512, dw = -0.04722, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 104, w1 = 3673.733, w2 = 3596.323, dw = -0.04692, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 105, w1 = 3650.345, w2 = 3573.43, dw = -0.04662, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 106, w1 = 3627.253, w2 = 3550.826, dw = -0.04632, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 107, w1 = 3604.452, w2 = 3528.508, dw = -0.04603, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 108, w1 = 3581.936, w2 = 3506.468, dw = -0.04574, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 109, w1 = 3559.7, w2 = 3484.702, dw = -0.04545, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 110, w1 = 3537.739, w2 = 3463.206, dw = -0.04517, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 111, w1 = 3516.047, w2 = 3441.973, dw = -0.04489, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 112, w1 = 3494.621, w2 = 3421., dw = -0.04462, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 113, w1 = 3473.454, w2 = 3400.281, dw = -0.04435, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 114, w1 = 3452.543, w2 = 3379.812, dw = -0.04408, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 115, w1 = 3431.882, w2 = 3359.589, dw = -0.04381, nw = 1651 EchelleThAr.0028.ec.fits: REFSPEC1 = 'EchelleThAr.0028.ec 1.' zEchelleThAr.0028.ec.fits: ap = 1, w1 = 10811.38, w2 = 10583.14, dw = -0.13832, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 2, w1 = 10611.18, w2 = 10387.18, dw = -0.13576, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 3, w1 = 10418.27, w2 = 10198.35, dw = -0.13328, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 4, w1 = 10232.24, w2 = 10016.25, dw = -0.1309, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 5, w1 = 10052.74, w2 = 9840.55, dw = -0.1286, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 6, w1 = 9879.431, w2 = 9670.904, dw = -0.12638, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 7, w1 = 9711.996, w2 = 9507.009, dw = -0.12423, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 8, w1 = 9550.143, w2 = 9348.576, dw = -0.12216, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 9, w1 = 9393.596, w2 = 9195.338, dw = -0.12016, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 10, w1 = 9242.099, w2 = 9047.042, dw = -0.11822, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 11, w1 = 9095.411, w2 = 8903.454, dw = -0.11634, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 12, w1 = 8953.307, w2 = 8764.352, dw = -0.11452, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 13, w1 = 8815.576, w2 = 8629.531, dw = -0.11275, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 14, w1 = 8682.018, w2 = 8498.795, dw = -0.11104, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 15, w1 = 8552.447, w2 = 8371.961, dw = -0.10939, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 16, w1 = 8426.686, w2 = 8248.857, dw = -0.10778, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 17, w1 = 8304.571, w2 = 8129.321, dw = -0.10621, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 18, w1 = 8185.945, w2 = 8013.201, dw = -0.10469, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 19, w1 = 8070.661, w2 = 7900.351, dw = -0.10322, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 20, w1 = 7958.579, w2 = 7790.636, dw = -0.10178, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 21, w1 = 7849.567, w2 = 7683.927, dw = -0.10039, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 22, w1 = 7743.502, w2 = 7580.101, dw = -0.09903, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 23, w1 = 7640.265, w2 = 7479.045, dw = -0.09771, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 24, w1 = 7539.745, w2 = 7380.647, dw = -0.09642, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 25, w1 = 7441.836, w2 = 7284.806, dw = -0.09517, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 26, w1 = 7346.437, w2 = 7191.421, dw = -0.09395, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 27, w1 = 7253.454, w2 = 7100.401, dw = -0.09276, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 28, w1 = 7162.795, w2 = 7011.657, dw = -0.0916, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 29, w1 = 7074.375, w2 = 6925.104, dw = -0.09047, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 30, w1 = 6988.111, w2 = 6840.662, dw = -0.08936, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 31, w1 = 6903.926, w2 = 6758.254, dw = -0.08829, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 32, w1 = 6821.745, w2 = 6677.809, dw = -0.08723, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 33, w1 = 6741.498, w2 = 6599.257, dw = -0.08621, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 34, w1 = 6663.117, w2 = 6522.531, dw = -0.0852, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 35, w1 = 6586.538, w2 = 6447.569, dw = -0.08422, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 36, w1 = 6511.7, w2 = 6374.312, dw = -0.08327, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 37, w1 = 6438.543, w2 = 6302.7, dw = -0.08233, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 38, w1 = 6367.012, w2 = 6232.68, dw = -0.08141, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 39, w1 = 6297.054, w2 = 6164.199, dw = -0.08052, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 40, w1 = 6228.616, w2 = 6097.207, dw = -0.07964, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 41, w1 = 6161.65, w2 = 6031.655, dw = -0.07878, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 42, w1 = 6096.108, w2 = 5967.498, dw = -0.07795, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 43, w1 = 6031.947, w2 = 5904.693, dw = -0.07712, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 44, w1 = 5969.123, w2 = 5843.195, dw = -0.07632, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 45, w1 = 5907.593, w2 = 5782.966, dw = -0.07553, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 46, w1 = 5847.32, w2 = 5723.966, dw = -0.07476, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 47, w1 = 5788.264, w2 = 5666.158, dw = -0.074, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 48, w1 = 5730.39, w2 = 5609.507, dw = -0.07326, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 49, w1 = 5673.661, w2 = 5553.977, dw = -0.07254, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 50, w1 = 5618.045, w2 = 5499.536, dw = -0.07182, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 51, w1 = 5563.509, w2 = 5446.153, dw = -0.07113, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 52, w1 = 5510.022, w2 = 5393.796, dw = -0.07044, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 53, w1 = 5457.554, w2 = 5342.437, dw = -0.06977, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 54, w1 = 5406.076, w2 = 5292.047, dw = -0.06911, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 55, w1 = 5355.56, w2 = 5242.599, dw = -0.06846, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 56, w1 = 5305.979, w2 = 5194.066, dw = -0.06783, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 57, w1 = 5257.309, w2 = 5146.424, dw = -0.0672, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 58, w1 = 5209.523, w2 = 5099.649, dw = -0.06659, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 59, w1 = 5162.599, w2 = 5053.717, dw = -0.06599, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 60, w1 = 5116.512, w2 = 5008.604, dw = -0.0654, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 61, w1 = 5071.242, w2 = 4964.291, dw = -0.06482, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 62, w1 = 5026.765, w2 = 4920.755, dw = -0.06425, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 63, w1 = 4983.063, w2 = 4877.976, dw = -0.06369, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 64, w1 = 4940.114, w2 = 4835.935, dw = -0.06314, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 65, w1 = 4897.899, w2 = 4794.613, dw = -0.0626, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 66, w1 = 4856.4, w2 = 4753.991, dw = -0.06207, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 67, w1 = 4815.598, w2 = 4714.052, dw = -0.06154, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 68, w1 = 4775.477, w2 = 4674.778, dw = -0.06103, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 69, w1 = 4736.018, w2 = 4636.154, dw = -0.06052, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 70, w1 = 4697.207, w2 = 4598.164, dw = -0.06003, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 71, w1 = 4659.027, w2 = 4560.791, dw = -0.05954, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 72, w1 = 4621.463, w2 = 4524.02, dw = -0.05906, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 73, w1 = 4584.5, w2 = 4487.839, dw = -0.05858, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 74, w1 = 4548.124, w2 = 4452.231, dw = -0.05812, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 75, w1 = 4512.321, w2 = 4417.185, dw = -0.05766, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 76, w1 = 4477.078, w2 = 4382.686, dw = -0.05721, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 77, w1 = 4442.381, w2 = 4348.722, dw = -0.05676, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 78, w1 = 4408.217, w2 = 4315.28, dw = -0.05633, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 79, w1 = 4374.576, w2 = 4282.349, dw = -0.0559, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 80, w1 = 4341.445, w2 = 4249.917, dw = -0.05547, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 81, w1 = 4308.812, w2 = 4217.973, dw = -0.05505, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 82, w1 = 4276.666, w2 = 4186.506, dw = -0.05464, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 83, w1 = 4244.996, w2 = 4155.505, dw = -0.05424, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 84, w1 = 4213.793, w2 = 4124.959, dw = -0.05384, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 85, w1 = 4183.045, w2 = 4094.86, dw = -0.05345, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 86, w1 = 4152.742, w2 = 4065.197, dw = -0.05306, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 87, w1 = 4122.876, w2 = 4035.96, dw = -0.05268, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 88, w1 = 4093.437, w2 = 4007.141, dw = -0.0523, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 89, w1 = 4064.416, w2 = 3978.731, dw = -0.05193, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 90, w1 = 4035.803, w2 = 3950.721, dw = -0.05156, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 91, w1 = 4007.591, w2 = 3923.103, dw = -0.0512, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 92, w1 = 3979.771, w2 = 3895.868, dw = -0.05085, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 93, w1 = 3952.334, w2 = 3869.009, dw = -0.0505, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 94, w1 = 3925.274, w2 = 3842.518, dw = -0.05016, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 95, w1 = 3898.582, w2 = 3816.387, dw = -0.04982, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 96, w1 = 3872.251, w2 = 3790.609, dw = -0.04948, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 97, w1 = 3846.274, w2 = 3765.177, dw = -0.04915, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 98, w1 = 3820.643, w2 = 3740.084, dw = -0.04882, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 99, w1 = 3795.352, w2 = 3715.323, dw = -0.0485, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 100, w1 = 3770.393, w2 = 3690.888, dw = -0.04819, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 101, w1 = 3745.762, w2 = 3666.772, dw = -0.04787, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 102, w1 = 3721.45, w2 = 3642.969, dw = -0.04756, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 103, w1 = 3697.452, w2 = 3619.473, dw = -0.04726, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 104, w1 = 3673.762, w2 = 3596.278, dw = -0.04696, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 105, w1 = 3650.374, w2 = 3573.378, dw = -0.04666, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 106, w1 = 3627.282, w2 = 3550.769, dw = -0.04637, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 107, w1 = 3604.481, w2 = 3528.443, dw = -0.04608, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 108, w1 = 3581.965, w2 = 3506.396, dw = -0.0458, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 109, w1 = 3559.729, w2 = 3484.623, dw = -0.04552, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 110, w1 = 3537.768, w2 = 3463.118, dw = -0.04524, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 111, w1 = 3516.076, w2 = 3441.877, dw = -0.04497, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 112, w1 = 3494.649, w2 = 3420.895, dw = -0.0447, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 113, w1 = 3473.482, w2 = 3400.167, dw = -0.04443, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 114, w1 = 3452.571, w2 = 3379.688, dw = -0.04417, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 115, w1 = 3431.91, w2 = 3359.455, dw = -0.04391, nw = 1651 EchelleThAr.0035.ec.fits: REFSPEC1 = 'EchelleThAr.0035.ec 1.' zEchelleThAr.0035.ec.fits: ap = 1, w1 = 10811.33, w2 = 10583.12, dw = -0.13831, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 2, w1 = 10611.14, w2 = 10387.16, dw = -0.13574, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 3, w1 = 10418.23, w2 = 10198.32, dw = -0.13327, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 4, w1 = 10232.2, w2 = 10016.23, dw = -0.13089, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 5, w1 = 10052.71, w2 = 9840.523, dw = -0.1286, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 6, w1 = 9879.4, w2 = 9670.876, dw = -0.12638, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 7, w1 = 9711.968, w2 = 9506.98, dw = -0.12424, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 8, w1 = 9550.116, w2 = 9348.546, dw = -0.12216, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 9, w1 = 9393.571, w2 = 9195.307, dw = -0.12016, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 10, w1 = 9242.075, w2 = 9047.011, dw = -0.11822, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 11, w1 = 9095.388, w2 = 8903.423, dw = -0.11634, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 12, w1 = 8953.285, w2 = 8764.321, dw = -0.11452, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 13, w1 = 8815.554, w2 = 8629.499, dw = -0.11276, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 14, w1 = 8681.997, w2 = 8498.763, dw = -0.11105, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 15, w1 = 8552.427, w2 = 8371.929, dw = -0.10939, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 16, w1 = 8426.667, w2 = 8248.826, dw = -0.10778, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 17, w1 = 8304.552, w2 = 8129.291, dw = -0.10622, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 18, w1 = 8185.926, w2 = 8013.171, dw = -0.1047, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 19, w1 = 8070.641, w2 = 7900.321, dw = -0.10322, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 20, w1 = 7958.559, w2 = 7790.607, dw = -0.10179, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 21, w1 = 7849.548, w2 = 7683.898, dw = -0.10039, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 22, w1 = 7743.482, w2 = 7580.073, dw = -0.09904, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 23, w1 = 7640.245, w2 = 7479.017, dw = -0.09771, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 24, w1 = 7539.725, w2 = 7380.621, dw = -0.09643, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 25, w1 = 7441.816, w2 = 7284.78, dw = -0.09517, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 26, w1 = 7346.417, w2 = 7191.396, dw = -0.09395, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 27, w1 = 7253.433, w2 = 7100.377, dw = -0.09276, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 28, w1 = 7162.774, w2 = 7011.633, dw = -0.0916, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 29, w1 = 7074.353, w2 = 6925.081, dw = -0.09047, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 30, w1 = 6988.089, w2 = 6840.639, dw = -0.08936, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 31, w1 = 6903.904, w2 = 6758.232, dw = -0.08829, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 32, w1 = 6821.723, w2 = 6677.788, dw = -0.08723, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 33, w1 = 6741.476, w2 = 6599.236, dw = -0.08621, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 34, w1 = 6663.095, w2 = 6522.511, dw = -0.0852, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 35, w1 = 6586.516, w2 = 6447.55, dw = -0.08422, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 36, w1 = 6511.678, w2 = 6374.293, dw = -0.08326, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 37, w1 = 6438.521, w2 = 6302.682, dw = -0.08233, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 38, w1 = 6366.99, w2 = 6232.662, dw = -0.08141, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 39, w1 = 6297.031, w2 = 6164.182, dw = -0.08052, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 40, w1 = 6228.594, w2 = 6097.19, dw = -0.07964, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 41, w1 = 6161.628, w2 = 6031.639, dw = -0.07878, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 42, w1 = 6096.087, w2 = 5967.483, dw = -0.07794, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 43, w1 = 6031.925, w2 = 5904.677, dw = -0.07712, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 44, w1 = 5969.101, w2 = 5843.18, dw = -0.07632, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 45, w1 = 5907.572, w2 = 5782.951, dw = -0.07553, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 46, w1 = 5847.299, w2 = 5723.952, dw = -0.07476, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 47, w1 = 5788.243, w2 = 5666.144, dw = -0.074, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 48, w1 = 5730.369, w2 = 5609.493, dw = -0.07326, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 49, w1 = 5673.641, w2 = 5553.963, dw = -0.07253, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 50, w1 = 5618.025, w2 = 5499.523, dw = -0.07182, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 51, w1 = 5563.489, w2 = 5446.139, dw = -0.07112, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 52, w1 = 5510.002, w2 = 5393.783, dw = -0.07044, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 53, w1 = 5457.534, w2 = 5342.424, dw = -0.06976, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 54, w1 = 5406.056, w2 = 5292.033, dw = -0.0691, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 55, w1 = 5355.54, w2 = 5242.585, dw = -0.06846, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 56, w1 = 5305.96, w2 = 5194.053, dw = -0.06782, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 57, w1 = 5257.29, w2 = 5146.411, dw = -0.0672, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 58, w1 = 5209.504, w2 = 5099.635, dw = -0.06659, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 59, w1 = 5162.58, w2 = 5053.703, dw = -0.06599, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 60, w1 = 5116.493, w2 = 5008.59, dw = -0.0654, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 61, w1 = 5071.223, w2 = 4964.277, dw = -0.06482, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 62, w1 = 5026.746, w2 = 4920.74, dw = -0.06425, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 63, w1 = 4983.043, w2 = 4877.961, dw = -0.06369, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 64, w1 = 4940.094, w2 = 4835.92, dw = -0.06314, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 65, w1 = 4897.879, w2 = 4794.597, dw = -0.06259, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 66, w1 = 4856.379, w2 = 4753.975, dw = -0.06206, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 67, w1 = 4815.577, w2 = 4714.035, dw = -0.06154, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 68, w1 = 4775.455, w2 = 4674.762, dw = -0.06103, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 69, w1 = 4735.996, w2 = 4636.137, dw = -0.06052, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 70, w1 = 4697.184, w2 = 4598.146, dw = -0.06002, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 71, w1 = 4659.004, w2 = 4560.772, dw = -0.05953, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 72, w1 = 4621.439, w2 = 4524.002, dw = -0.05905, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 73, w1 = 4584.475, w2 = 4487.819, dw = -0.05858, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 74, w1 = 4548.097, w2 = 4452.211, dw = -0.05811, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 75, w1 = 4512.293, w2 = 4417.164, dw = -0.05765, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 76, w1 = 4477.048, w2 = 4382.665, dw = -0.0572, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 77, w1 = 4442.349, w2 = 4348.7, dw = -0.05676, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 78, w1 = 4408.184, w2 = 4315.258, dw = -0.05632, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 79, w1 = 4374.541, w2 = 4282.327, dw = -0.05589, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 80, w1 = 4341.408, w2 = 4249.894, dw = -0.05546, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 81, w1 = 4308.772, w2 = 4217.949, dw = -0.05504, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 82, w1 = 4276.624, w2 = 4186.481, dw = -0.05463, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 83, w1 = 4244.952, w2 = 4155.479, dw = -0.05423, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 84, w1 = 4213.745, w2 = 4124.933, dw = -0.05383, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 85, w1 = 4182.994, w2 = 4094.833, dw = -0.05343, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 86, w1 = 4152.689, w2 = 4065.169, dw = -0.05304, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 87, w1 = 4122.819, w2 = 4035.932, dw = -0.05266, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 88, w1 = 4093.376, w2 = 4007.113, dw = -0.05228, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 89, w1 = 4064.351, w2 = 3978.702, dw = -0.05191, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 90, w1 = 4035.734, w2 = 3950.691, dw = -0.05154, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 91, w1 = 4007.518, w2 = 3923.073, dw = -0.05118, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 92, w1 = 3979.693, w2 = 3895.837, dw = -0.05082, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 93, w1 = 3952.252, w2 = 3868.977, dw = -0.05047, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 94, w1 = 3925.186, w2 = 3842.485, dw = -0.05012, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 95, w1 = 3898.489, w2 = 3816.354, dw = -0.04978, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 96, w1 = 3872.152, w2 = 3790.575, dw = -0.04944, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 97, w1 = 3846.168, w2 = 3765.143, dw = -0.04911, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 98, w1 = 3820.531, w2 = 3740.049, dw = -0.04878, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 99, w1 = 3795.233, w2 = 3715.288, dw = -0.04845, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 100, w1 = 3770.268, w2 = 3690.852, dw = -0.04813, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 101, w1 = 3745.629, w2 = 3666.736, dw = -0.04781, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 102, w1 = 3721.309, w2 = 3642.932, dw = -0.0475, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 103, w1 = 3697.304, w2 = 3619.436, dw = -0.04719, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 104, w1 = 3673.605, w2 = 3596.241, dw = -0.04689, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 105, w1 = 3650.209, w2 = 3573.341, dw = -0.04659, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 106, w1 = 3627.108, w2 = 3550.731, dw = -0.04629, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 107, w1 = 3604.297, w2 = 3528.405, dw = -0.046, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 108, w1 = 3581.772, w2 = 3506.358, dw = -0.04571, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 109, w1 = 3559.526, w2 = 3484.585, dw = -0.04542, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 110, w1 = 3537.554, w2 = 3463.08, dw = -0.04514, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 111, w1 = 3515.851, w2 = 3441.839, dw = -0.04486, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 112, w1 = 3494.413, w2 = 3420.857, dw = -0.04458, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 113, w1 = 3473.234, w2 = 3400.129, dw = -0.04431, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 114, w1 = 3452.31, w2 = 3379.65, dw = -0.04404, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 115, w1 = 3431.637, w2 = 3359.416, dw = -0.04377, 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... Jun 3 2:22: SCOMBINE combine = sum blank = 0. 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150506.0022.ec.fits[ 45] 60.0 1.000 0. 0.009 150506.0022.ec.fits[ 46] 60.0 1.000 0. 0.009 150506.0022.ec.fits[ 47] 60.0 1.000 0. 0.009 150506.0022.ec.fits[ 48] 60.0 1.000 0. 0.009 150506.0022.ec.fits[ 49] 60.0 1.000 0. 0.009 150506.0022.ec.fits[ 50] 60.0 1.000 0. 0.009 150506.0022.ec.fits[ 51] 60.0 1.000 0. 0.009 150506.0022.ec.fits[ 52] 60.0 1.000 0. 0.009 150506.0022.ec.fits[ 53] 60.0 1.000 0. 0.009 150506.0022.ec.fits[ 54] 60.0 1.000 0. 0.009 150506.0022.ec.fits[ 55] 60.0 1.000 0. 0.009 150506.0022.ec.fits[ 56] 60.0 1.000 0. 0.009 150506.0022.ec.fits[ 57] 60.0 1.000 0. 0.009 150506.0022.ec.fits[ 58] 60.0 1.000 0. 0.009 150506.0022.ec.fits[ 59] 60.0 1.000 0. 0.009 150506.0022.ec.fits[ 60] 60.0 1.000 0. 0.009 150506.0022.ec.fits[ 61] 60.0 1.000 0. 0.009 150506.0022.ec.fits[ 62] 60.0 1.000 0. 0.009 150506.0022.ec.fits[ 63] 60.0 1.000 0. 0.009 150506.0022.ec.fits[ 64] 60.0 1.000 0. 0.009 150506.0022.ec.fits[ 65] 60.0 1.000 0. 0.009 150506.0022.ec.fits[ 66] 60.0 1.000 0. 0.009 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150506.0022.ec.fits[ 89] 60.0 1.000 0. 0.009 150506.0022.ec.fits[ 90] 60.0 1.000 0. 0.009 150506.0022.ec.fits[ 91] 60.0 1.000 0. 0.009 150506.0022.ec.fits[ 92] 60.0 1.000 0. 0.009 150506.0022.ec.fits[ 93] 60.0 1.000 0. 0.009 150506.0022.ec.fits[ 94] 60.0 1.000 0. 0.009 150506.0022.ec.fits[ 95] 60.0 1.000 0. 0.009 150506.0022.ec.fits[ 96] 60.0 1.000 0. 0.009 150506.0022.ec.fits[ 97] 60.0 1.000 0. 0.009 150506.0022.ec.fits[ 98] 60.0 1.000 0. 0.009 150506.0022.ec.fits[ 99] 60.0 1.000 0. 0.009 150506.0022.ec.fits[100] 60.0 1.000 0. 0.009 150506.0022.ec.fits[101] 60.0 1.000 0. 0.009 150506.0022.ec.fits[102] 60.0 1.000 0. 0.009 150506.0022.ec.fits[103] 60.0 1.000 0. 0.009 150506.0022.ec.fits[104] 60.0 1.000 0. 0.009 150506.0022.ec.fits[105] 60.0 1.000 0. 0.009 150506.0022.ec.fits[106] 60.0 1.000 0. 0.009 150506.0022.ec.fits[107] 60.0 1.000 0. 0.009 150506.0022.ec.fits[108] 60.0 1.000 0. 0.009 150506.0022.ec.fits[109] 60.0 1.000 0. 0.009 150506.0022.ec.fits[110] 60.0 1.000 0. 0.009 150506.0022.ec.fits[111] 60.0 1.000 0. 0.009 150506.0022.ec.fits[112] 60.0 1.000 0. 0.009 150506.0022.ec.fits[113] 60.0 1.000 0. 0.009 150506.0022.ec.fits[114] 60.0 1.000 0. 0.009 150506.0022.ec.fits[115] 60.0 1.000 0. 0.009 Output image = sum150506.0022.ec.fits, ncombine = 115, exptime = 6900.004 w1 = 3359.703, w2 = 10811.35, dw = 0.04380333, nw = 170117., dtype = 0 Jun 3 2:22: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 150506.0023.ec.fits[ 1] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 2] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 3] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 4] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 5] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 6] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 7] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 8] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 9] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 10] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 11] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 12] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 13] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 14] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 15] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 16] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 17] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 18] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 19] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 20] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 21] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 22] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 23] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 24] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 25] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 26] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 27] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 28] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 29] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 30] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 31] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 32] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 33] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 34] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 35] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 36] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 37] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 38] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 39] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 40] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 41] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 42] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 43] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 44] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 45] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 46] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 47] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 48] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 49] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 50] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 51] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 52] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 53] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 54] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 55] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 56] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 57] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 58] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 59] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 60] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 61] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 62] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 63] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 64] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 65] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 66] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 67] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 68] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 69] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 70] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 71] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 72] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 73] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 74] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 75] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 76] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 77] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 78] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 79] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 80] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 81] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 82] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 83] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 84] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 85] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 86] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 87] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 88] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 89] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 90] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 91] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 92] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 93] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 94] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 95] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 96] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 97] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 98] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[ 99] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[100] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[101] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[102] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[103] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[104] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[105] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[106] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[107] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[108] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[109] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[110] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[111] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[112] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[113] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[114] 1800.0 1.000 0. 0.009 150506.0023.ec.fits[115] 1800.0 1.000 0. 0.009 Output image = sum150506.0023.ec.fits, ncombine = 115, exptime = 207000. w1 = 3359.703, w2 = 10811.35, dw = 0.04380333, nw = 170117., dtype = 0 Jun 3 2:23: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 150506.0025.ec.fits[ 1] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 2] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 3] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 4] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 5] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 6] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 7] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 8] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 9] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 10] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 11] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 12] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 13] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 14] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 15] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 16] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 17] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 18] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 19] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 20] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 21] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 22] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 23] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 24] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 25] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 26] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 27] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 28] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 29] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 30] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 31] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 32] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 33] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 34] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 35] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 36] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 37] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 38] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 39] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 40] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 41] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 42] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 43] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 44] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 45] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 46] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 47] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 48] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 49] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 50] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 51] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 52] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 53] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 54] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 55] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 56] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 57] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 58] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 59] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 60] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 61] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 62] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 63] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 64] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 65] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 66] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 67] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 68] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 69] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 70] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 71] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 72] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 73] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 74] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 75] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 76] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 77] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 78] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 79] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 80] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 81] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 82] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 83] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 84] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 85] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 86] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 87] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 88] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 89] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 90] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 91] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 92] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 93] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 94] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 95] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 96] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 97] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 98] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[ 99] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[100] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[101] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[102] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[103] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[104] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[105] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[106] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[107] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[108] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[109] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[110] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[111] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[112] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[113] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[114] 1800.0 1.000 0. 0.009 150506.0025.ec.fits[115] 1800.0 1.000 0. 0.009 Output image = sum150506.0025.ec.fits, ncombine = 115, exptime = 207000. w1 = 3359.703, w2 = 10811.35, dw = 0.04380333, nw = 170117., dtype = 0 Jun 3 2:24: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 150506.0026.ec.fits[ 1] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 2] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 3] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 4] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 5] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 6] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 7] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 8] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 9] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 10] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 11] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 12] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 13] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 14] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 15] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 16] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 17] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 18] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 19] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 20] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 21] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 22] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 23] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 24] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 25] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 26] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 27] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 28] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 29] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 30] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 31] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 32] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 33] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 34] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 35] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 36] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 37] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 38] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 39] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 40] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 41] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 42] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 43] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 44] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 45] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 46] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 47] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 48] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 49] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 50] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 51] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 52] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 53] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 54] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 55] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 56] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 57] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 58] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 59] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 60] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 61] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 62] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 63] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 64] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 65] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 66] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 67] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 68] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 69] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 70] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 71] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 72] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 73] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 74] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 75] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 76] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 77] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 78] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 79] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 80] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 81] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 82] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 83] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 84] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 85] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 86] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 87] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 88] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 89] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 90] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 91] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 92] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 93] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 94] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 95] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 96] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 97] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 98] 30.0 1.000 0. 0.009 150506.0026.ec.fits[ 99] 30.0 1.000 0. 0.009 150506.0026.ec.fits[100] 30.0 1.000 0. 0.009 150506.0026.ec.fits[101] 30.0 1.000 0. 0.009 150506.0026.ec.fits[102] 30.0 1.000 0. 0.009 150506.0026.ec.fits[103] 30.0 1.000 0. 0.009 150506.0026.ec.fits[104] 30.0 1.000 0. 0.009 150506.0026.ec.fits[105] 30.0 1.000 0. 0.009 150506.0026.ec.fits[106] 30.0 1.000 0. 0.009 150506.0026.ec.fits[107] 30.0 1.000 0. 0.009 150506.0026.ec.fits[108] 30.0 1.000 0. 0.009 150506.0026.ec.fits[109] 30.0 1.000 0. 0.009 150506.0026.ec.fits[110] 30.0 1.000 0. 0.009 150506.0026.ec.fits[111] 30.0 1.000 0. 0.009 150506.0026.ec.fits[112] 30.0 1.000 0. 0.009 150506.0026.ec.fits[113] 30.0 1.000 0. 0.009 150506.0026.ec.fits[114] 30.0 1.000 0. 0.009 150506.0026.ec.fits[115] 30.0 1.000 0. 0.009 Output image = sum150506.0026.ec.fits, ncombine = 115, exptime = 3449.95 w1 = 3359.703, w2 = 10811.35, dw = 0.04380333, nw = 170117., dtype = 0 Jun 3 2:24: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 150506.0027.ec.fits[ 1] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 2] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 3] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 4] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 5] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 6] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 7] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 8] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 9] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 10] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 11] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 12] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 13] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 14] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 15] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 16] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 17] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 18] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 19] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 20] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 21] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 22] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 23] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 24] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 25] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 26] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 27] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 28] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 29] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 30] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 31] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 32] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 33] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 34] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 35] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 36] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 37] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 38] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 39] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 40] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 41] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 42] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 43] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 44] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 45] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 46] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 47] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 48] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 49] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 50] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 51] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 52] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 53] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 54] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 55] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 56] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 57] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 58] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 59] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 60] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 61] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 62] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 63] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 64] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 65] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 66] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 67] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 68] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 69] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 70] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 71] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 72] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 73] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 74] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 75] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 76] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 77] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 78] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 79] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 80] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 81] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 82] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 83] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 84] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 85] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 86] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 87] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 88] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 89] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 90] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 91] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 92] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 93] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 94] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 95] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 96] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 97] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 98] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[ 99] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[100] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[101] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[102] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[103] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[104] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[105] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[106] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[107] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[108] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[109] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[110] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[111] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[112] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[113] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[114] 1500.0 1.000 0. 0.009 150506.0027.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum150506.0027.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.703, w2 = 10811.35, dw = 0.04380333, nw = 170117., dtype = 0 Jun 3 2:25: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 150506.0029.ec.fits[ 1] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 2] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 3] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 4] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 5] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 6] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 7] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 8] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 9] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 10] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 11] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 12] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 13] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 14] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 15] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 16] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 17] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 18] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 19] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 20] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 21] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 22] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 23] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 24] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 25] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 26] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 27] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 28] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 29] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 30] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 31] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 32] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 33] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 34] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 35] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 36] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 37] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 38] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 39] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 40] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 41] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 42] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 43] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 44] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 45] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 46] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 47] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 48] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 49] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 50] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 51] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 52] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 53] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 54] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 55] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 56] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 57] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 58] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 59] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 60] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 61] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 62] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 63] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 64] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 65] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 66] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 67] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 68] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 69] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 70] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 71] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 72] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 73] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 74] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 75] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 76] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 77] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 78] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 79] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 80] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 81] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 82] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 83] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 84] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 85] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 86] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 87] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 88] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 89] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 90] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 91] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 92] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 93] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 94] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 95] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 96] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 97] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 98] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[ 99] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[100] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[101] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[102] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[103] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[104] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[105] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[106] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[107] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[108] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[109] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[110] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[111] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[112] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[113] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[114] 1500.0 1.000 0. 0.009 150506.0029.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum150506.0029.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.703, w2 = 10811.35, dw = 0.04380333, nw = 170117., dtype = 0 Jun 3 2:25: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 150506.0030.ec.fits[ 1] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 2] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 3] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 4] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 5] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 6] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 7] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 8] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 9] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 10] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 11] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 12] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 13] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 14] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 15] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 16] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 17] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 18] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 19] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 20] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 21] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 22] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 23] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 24] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 25] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 26] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 27] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 28] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 29] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 30] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 31] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 32] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 33] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 34] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 35] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 36] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 37] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 38] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 39] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 40] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 41] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 42] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 43] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 44] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 45] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 46] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 47] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 48] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 49] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 50] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 51] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 52] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 53] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 54] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 55] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 56] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 57] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 58] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 59] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 60] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 61] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 62] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 63] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 64] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 65] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 66] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 67] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 68] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 69] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 70] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 71] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 72] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 73] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 74] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 75] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 76] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 77] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 78] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 79] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 80] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 81] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 82] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 83] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 84] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 85] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 86] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 87] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 88] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 89] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 90] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 91] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 92] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 93] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 94] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 95] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 96] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 97] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 98] 60.0 1.000 0. 0.009 150506.0030.ec.fits[ 99] 60.0 1.000 0. 0.009 150506.0030.ec.fits[100] 60.0 1.000 0. 0.009 150506.0030.ec.fits[101] 60.0 1.000 0. 0.009 150506.0030.ec.fits[102] 60.0 1.000 0. 0.009 150506.0030.ec.fits[103] 60.0 1.000 0. 0.009 150506.0030.ec.fits[104] 60.0 1.000 0. 0.009 150506.0030.ec.fits[105] 60.0 1.000 0. 0.009 150506.0030.ec.fits[106] 60.0 1.000 0. 0.009 150506.0030.ec.fits[107] 60.0 1.000 0. 0.009 150506.0030.ec.fits[108] 60.0 1.000 0. 0.009 150506.0030.ec.fits[109] 60.0 1.000 0. 0.009 150506.0030.ec.fits[110] 60.0 1.000 0. 0.009 150506.0030.ec.fits[111] 60.0 1.000 0. 0.009 150506.0030.ec.fits[112] 60.0 1.000 0. 0.009 150506.0030.ec.fits[113] 60.0 1.000 0. 0.009 150506.0030.ec.fits[114] 60.0 1.000 0. 0.009 150506.0030.ec.fits[115] 60.0 1.000 0. 0.009 Output image = sum150506.0030.ec.fits, ncombine = 115, exptime = 6900.013 w1 = 3359.703, w2 = 10811.35, dw = 0.04380333, nw = 170117., dtype = 0 Jun 3 2:26: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 150506.0031.ec.fits[ 1] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 2] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 3] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 4] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 5] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 6] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 7] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 8] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 9] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 10] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 11] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 12] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 13] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 14] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 15] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 16] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 17] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 18] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 19] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 20] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 21] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 22] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 23] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 24] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 25] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 26] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 27] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 28] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 29] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 30] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 31] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 32] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 33] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 34] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 35] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 36] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 37] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 38] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 39] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 40] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 41] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 42] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 43] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 44] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 45] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 46] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 47] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 48] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 49] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 50] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 51] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 52] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 53] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 54] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 55] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 56] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 57] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 58] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 59] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 60] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 61] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 62] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 63] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 64] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 65] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 66] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 67] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 68] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 69] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 70] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 71] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 72] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 73] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 74] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 75] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 76] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 77] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 78] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 79] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 80] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 81] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 82] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 83] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 84] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 85] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 86] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 87] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 88] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 89] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 90] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 91] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 92] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 93] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 94] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 95] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 96] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 97] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 98] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[ 99] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[100] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[101] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[102] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[103] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[104] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[105] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[106] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[107] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[108] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[109] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[110] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[111] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[112] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[113] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[114] 1500.0 1.000 0. 0.009 150506.0031.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum150506.0031.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.703, w2 = 10811.35, dw = 0.04380333, nw = 170117., dtype = 0 Jun 3 2:26: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 150506.0032.ec.fits[ 1] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 2] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 3] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 4] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 5] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 6] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 7] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 8] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 9] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 10] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 11] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 12] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 13] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 14] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 15] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 16] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 17] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 18] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 19] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 20] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 21] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 22] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 23] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 24] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 25] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 26] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 27] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 28] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 29] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 30] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 31] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 32] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 33] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 34] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 35] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 36] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 37] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 38] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 39] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 40] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 41] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 42] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 43] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 44] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 45] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 46] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 47] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 48] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 49] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 50] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 51] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 52] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 53] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 54] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 55] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 56] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 57] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 58] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 59] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 60] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 61] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 62] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 63] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 64] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 65] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 66] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 67] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 68] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 69] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 70] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 71] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 72] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 73] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 74] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 75] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 76] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 77] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 78] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 79] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 80] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 81] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 82] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 83] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 84] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 85] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 86] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 87] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 88] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 89] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 90] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 91] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 92] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 93] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 94] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 95] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 96] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 97] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 98] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[ 99] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[100] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[101] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[102] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[103] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[104] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[105] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[106] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[107] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[108] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[109] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[110] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[111] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[112] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[113] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[114] 1500.0 1.000 0. 0.009 150506.0032.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum150506.0032.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.703, w2 = 10811.35, dw = 0.04380333, nw = 170117., dtype = 0 Jun 3 2:27: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 150506.0033.ec.fits[ 1] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 2] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 3] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 4] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 5] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 6] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 7] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 8] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 9] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 10] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 11] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 12] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 13] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 14] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 15] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 16] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 17] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 18] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 19] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 20] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 21] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 22] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 23] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 24] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 25] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 26] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 27] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 28] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 29] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 30] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 31] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 32] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 33] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 34] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 35] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 36] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 37] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 38] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 39] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 40] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 41] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 42] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 43] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 44] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 45] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 46] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 47] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 48] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 49] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 50] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 51] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 52] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 53] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 54] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 55] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 56] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 57] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 58] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 59] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 60] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 61] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 62] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 63] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 64] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 65] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 66] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 67] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 68] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 69] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 70] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 71] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 72] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 73] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 74] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 75] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 76] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 77] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 78] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 79] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 80] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 81] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 82] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 83] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 84] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 85] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 86] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 87] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 88] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 89] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 90] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 91] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 92] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 93] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 94] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 95] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 96] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 97] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 98] 900.0 1.000 0. 0.009 150506.0033.ec.fits[ 99] 900.0 1.000 0. 0.009 150506.0033.ec.fits[100] 900.0 1.000 0. 0.009 150506.0033.ec.fits[101] 900.0 1.000 0. 0.009 150506.0033.ec.fits[102] 900.0 1.000 0. 0.009 150506.0033.ec.fits[103] 900.0 1.000 0. 0.009 150506.0033.ec.fits[104] 900.0 1.000 0. 0.009 150506.0033.ec.fits[105] 900.0 1.000 0. 0.009 150506.0033.ec.fits[106] 900.0 1.000 0. 0.009 150506.0033.ec.fits[107] 900.0 1.000 0. 0.009 150506.0033.ec.fits[108] 900.0 1.000 0. 0.009 150506.0033.ec.fits[109] 900.0 1.000 0. 0.009 150506.0033.ec.fits[110] 900.0 1.000 0. 0.009 150506.0033.ec.fits[111] 900.0 1.000 0. 0.009 150506.0033.ec.fits[112] 900.0 1.000 0. 0.009 150506.0033.ec.fits[113] 900.0 1.000 0. 0.009 150506.0033.ec.fits[114] 900.0 1.000 0. 0.009 150506.0033.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum150506.0033.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.703, w2 = 10811.35, dw = 0.04380333, nw = 170117., dtype = 0 Jun 3 2:28: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 150506.0034.ec.fits[ 1] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 2] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 3] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 4] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 5] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 6] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 7] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 8] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 9] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 10] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 11] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 12] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 13] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 14] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 15] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 16] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 17] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 18] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 19] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 20] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 21] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 22] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 23] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 24] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 25] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 26] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 27] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 28] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 29] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 30] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 31] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 32] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 33] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 34] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 35] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 36] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 37] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 38] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 39] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 40] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 41] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 42] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 43] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 44] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 45] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 46] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 47] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 48] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 49] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 50] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 51] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 52] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 53] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 54] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 55] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 56] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 57] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 58] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 59] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 60] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 61] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 62] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 63] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 64] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 65] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 66] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 67] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 68] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 69] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 70] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 71] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 72] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 73] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 74] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 75] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 76] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 77] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 78] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 79] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 80] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 81] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 82] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 83] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 84] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 85] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 86] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 87] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 88] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 89] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 90] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 91] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 92] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 93] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 94] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 95] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 96] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 97] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 98] 60.0 1.000 0. 0.009 150506.0034.ec.fits[ 99] 60.0 1.000 0. 0.009 150506.0034.ec.fits[100] 60.0 1.000 0. 0.009 150506.0034.ec.fits[101] 60.0 1.000 0. 0.009 150506.0034.ec.fits[102] 60.0 1.000 0. 0.009 150506.0034.ec.fits[103] 60.0 1.000 0. 0.009 150506.0034.ec.fits[104] 60.0 1.000 0. 0.009 150506.0034.ec.fits[105] 60.0 1.000 0. 0.009 150506.0034.ec.fits[106] 60.0 1.000 0. 0.009 150506.0034.ec.fits[107] 60.0 1.000 0. 0.009 150506.0034.ec.fits[108] 60.0 1.000 0. 0.009 150506.0034.ec.fits[109] 60.0 1.000 0. 0.009 150506.0034.ec.fits[110] 60.0 1.000 0. 0.009 150506.0034.ec.fits[111] 60.0 1.000 0. 0.009 150506.0034.ec.fits[112] 60.0 1.000 0. 0.009 150506.0034.ec.fits[113] 60.0 1.000 0. 0.009 150506.0034.ec.fits[114] 60.0 1.000 0. 0.009 150506.0034.ec.fits[115] 60.0 1.000 0. 0.009 Output image = sum150506.0034.ec.fits, ncombine = 115, exptime = 6900.004 w1 = 3359.703, w2 = 10811.35, dw = 0.04380333, nw = 170117., dtype = 0 Jun 3 2:28: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150506.0022.ec.fits[ 1] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 2] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 3] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 4] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 5] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 6] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 7] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 8] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 9] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 10] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 11] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 12] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 13] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 14] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 15] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 16] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 17] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 18] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 19] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 20] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 21] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 22] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 23] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 24] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 25] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 26] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 27] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 28] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 29] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 30] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 31] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 32] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 33] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 34] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 35] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 36] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 37] 60.0 1.000 0. 0.009 fitcont150506.0022.ec.fits[ 38] 60.0 1.000 0. 0.009 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fitcont150506.0022.ec.fits[115] 60.0 1.000 0. 0.009 Output image = sumfitcont150506.0022.ec.fits, ncombine = 115, exptime = 6900.004 w1 = 3359.703, w2 = 10811.35, dw = 0.04380333, nw = 170117., dtype = 0 Jun 3 2:29: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150506.0023.ec.fits[ 1] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 2] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 3] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 4] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 5] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 6] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 7] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 8] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 9] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 10] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 11] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 12] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 13] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 14] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 15] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 16] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 17] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 18] 1800.0 1.000 0. 0.009 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74] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 75] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 76] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 77] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 78] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 79] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 80] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 81] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 82] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 83] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 84] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 85] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 86] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 87] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 88] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 89] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 90] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 91] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 92] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 93] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 94] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 95] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 96] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 97] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 98] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[ 99] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[100] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[101] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[102] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[103] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[104] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[105] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[106] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[107] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[108] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[109] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[110] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[111] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[112] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[113] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[114] 1800.0 1.000 0. 0.009 fitcont150506.0023.ec.fits[115] 1800.0 1.000 0. 0.009 Output image = sumfitcont150506.0023.ec.fits, ncombine = 115, exptime = 207000. w1 = 3359.703, w2 = 10811.35, dw = 0.04380333, nw = 170117., dtype = 0 Jun 3 2:29: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150506.0025.ec.fits[ 1] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 2] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 3] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 4] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 5] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 6] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 7] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 8] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 9] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 10] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 11] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 12] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 13] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 14] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 15] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 16] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 17] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 18] 1800.0 1.000 0. 0.009 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37] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 38] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 39] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 40] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 41] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 42] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 43] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 44] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 45] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 46] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 47] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 48] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 49] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 50] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 51] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 52] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 53] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 54] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 55] 1800.0 1.000 0. 0.009 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fitcont150506.0025.ec.fits[ 93] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 94] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 95] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 96] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 97] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 98] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[ 99] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[100] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[101] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[102] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[103] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[104] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[105] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[106] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[107] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[108] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[109] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[110] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[111] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[112] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[113] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[114] 1800.0 1.000 0. 0.009 fitcont150506.0025.ec.fits[115] 1800.0 1.000 0. 0.009 Output image = sumfitcont150506.0025.ec.fits, ncombine = 115, exptime = 207000. w1 = 3359.703, w2 = 10811.35, dw = 0.04380333, nw = 170117., dtype = 0 Jun 3 2:30: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150506.0026.ec.fits[ 1] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 2] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 3] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 4] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 5] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 6] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 7] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 8] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 9] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 10] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 11] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 12] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 13] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 14] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 15] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 16] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 17] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 18] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 19] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 20] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 21] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 22] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 23] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 24] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 25] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 26] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 27] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 28] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 29] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 30] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 31] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 32] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 33] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 34] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 35] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 36] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 37] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 38] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 39] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 40] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 41] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 42] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 43] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 44] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 45] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 46] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 47] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 48] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 49] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 50] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 51] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 52] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 53] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 54] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 55] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 56] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 57] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 58] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 59] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 60] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 61] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 62] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 63] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 64] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 65] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 66] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 67] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 68] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 69] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 70] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 71] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 72] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 73] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 74] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 75] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 76] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 77] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 78] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 79] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 80] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 81] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 82] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 83] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 84] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 85] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 86] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 87] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 88] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 89] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 90] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 91] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 92] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 93] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 94] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 95] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 96] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 97] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 98] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[ 99] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[100] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[101] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[102] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[103] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[104] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[105] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[106] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[107] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[108] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[109] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[110] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[111] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[112] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[113] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[114] 30.0 1.000 0. 0.009 fitcont150506.0026.ec.fits[115] 30.0 1.000 0. 0.009 Output image = sumfitcont150506.0026.ec.fits, ncombine = 115, exptime = 3449.95 w1 = 3359.703, w2 = 10811.35, dw = 0.04380333, nw = 170117., dtype = 0 Jun 3 2:30: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150506.0027.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 18] 1500.0 1.000 0. 0.009 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37] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont150506.0027.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont150506.0027.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.703, w2 = 10811.35, dw = 0.04380333, nw = 170117., dtype = 0 Jun 3 2:31: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150506.0029.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont150506.0029.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont150506.0029.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont150506.0029.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont150506.0029.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont150506.0029.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont150506.0029.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont150506.0029.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont150506.0029.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont150506.0029.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont150506.0029.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont150506.0029.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont150506.0029.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont150506.0029.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont150506.0029.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont150506.0029.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont150506.0029.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont150506.0029.ec.fits[ 18] 1500.0 1.000 0. 0.009 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fitcont150506.0029.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont150506.0029.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont150506.0029.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont150506.0029.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont150506.0029.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont150506.0029.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.703, w2 = 10811.35, dw = 0.04380333, nw = 170117., dtype = 0 Jun 3 2:32: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150506.0030.ec.fits[ 1] 60.0 1.000 0. 0.009 fitcont150506.0030.ec.fits[ 2] 60.0 1.000 0. 0.009 fitcont150506.0030.ec.fits[ 3] 60.0 1.000 0. 0.009 fitcont150506.0030.ec.fits[ 4] 60.0 1.000 0. 0.009 fitcont150506.0030.ec.fits[ 5] 60.0 1.000 0. 0.009 fitcont150506.0030.ec.fits[ 6] 60.0 1.000 0. 0.009 fitcont150506.0030.ec.fits[ 7] 60.0 1.000 0. 0.009 fitcont150506.0030.ec.fits[ 8] 60.0 1.000 0. 0.009 fitcont150506.0030.ec.fits[ 9] 60.0 1.000 0. 0.009 fitcont150506.0030.ec.fits[ 10] 60.0 1.000 0. 0.009 fitcont150506.0030.ec.fits[ 11] 60.0 1.000 0. 0.009 fitcont150506.0030.ec.fits[ 12] 60.0 1.000 0. 0.009 fitcont150506.0030.ec.fits[ 13] 60.0 1.000 0. 0.009 fitcont150506.0030.ec.fits[ 14] 60.0 1.000 0. 0.009 fitcont150506.0030.ec.fits[ 15] 60.0 1.000 0. 0.009 fitcont150506.0030.ec.fits[ 16] 60.0 1.000 0. 0.009 fitcont150506.0030.ec.fits[ 17] 60.0 1.000 0. 0.009 fitcont150506.0030.ec.fits[ 18] 60.0 1.000 0. 0.009 fitcont150506.0030.ec.fits[ 19] 60.0 1.000 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fitcont150506.0030.ec.fits[115] 60.0 1.000 0. 0.009 Output image = sumfitcont150506.0030.ec.fits, ncombine = 115, exptime = 6900.013 w1 = 3359.703, w2 = 10811.35, dw = 0.04380333, nw = 170117., dtype = 0 Jun 3 2:32: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150506.0031.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 18] 1500.0 1.000 0. 0.009 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fitcont150506.0031.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont150506.0031.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont150506.0031.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.703, w2 = 10811.35, dw = 0.04380333, nw = 170117., dtype = 0 Jun 3 2:33: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150506.0032.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont150506.0032.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont150506.0032.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.703, w2 = 10811.35, dw = 0.04380333, nw = 170117., dtype = 0 Jun 3 2:33: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150506.0033.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[100] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[101] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[102] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[103] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[104] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[105] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[106] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[107] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[108] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[109] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[110] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[111] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[112] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[113] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[114] 900.0 1.000 0. 0.009 fitcont150506.0033.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont150506.0033.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.703, w2 = 10811.35, dw = 0.04380333, nw = 170117., dtype = 0 Jun 3 2:34: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150506.0034.ec.fits[ 1] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 2] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 3] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 4] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 5] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 6] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 7] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 8] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 9] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 10] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 11] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 12] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 13] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 14] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 15] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 16] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 17] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 18] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 19] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 20] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 21] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 22] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 23] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 24] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 25] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 26] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 27] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 28] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 29] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 30] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 31] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 32] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 33] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 34] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 35] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 36] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 37] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 38] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 39] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 40] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 41] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 42] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 43] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 44] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 45] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 46] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 47] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 48] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 49] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 50] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 51] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 52] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 53] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 54] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 55] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 56] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 57] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 58] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 59] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 60] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 61] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 62] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 63] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 64] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 65] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 66] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 67] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 68] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 69] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 70] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 71] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 72] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 73] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 74] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 75] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 76] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 77] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 78] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 79] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 80] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 81] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 82] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 83] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 84] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 85] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 86] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 87] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 88] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 89] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 90] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 91] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 92] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 93] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 94] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 95] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 96] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 97] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 98] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[ 99] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[100] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[101] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[102] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[103] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[104] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[105] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[106] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[107] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[108] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[109] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[110] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[111] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[112] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[113] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[114] 60.0 1.000 0. 0.009 fitcont150506.0034.ec.fits[115] 60.0 1.000 0. 0.009 Output image = sumfitcont150506.0034.ec.fits, ncombine = 115, exptime = 6900.004 w1 = 3359.703, w2 = 10811.35, dw = 0.04380333, nw = 170117., dtype = 0 fullspec150506.0022.ec.fits 6900.004 fullspec150506.0022.ec.fits,EXPTIME: 6900.004 -> 60.0000347826 fullspec150506.0022.ec.fits updated fullspec150506.0023.ec.fits 207000. fullspec150506.0023.ec.fits,EXPTIME: 207000. -> 1800.0 fullspec150506.0023.ec.fits updated fullspec150506.0025.ec.fits 207000. fullspec150506.0025.ec.fits,EXPTIME: 207000. -> 1800.0 fullspec150506.0025.ec.fits updated fullspec150506.0026.ec.fits 3449.95 fullspec150506.0026.ec.fits,EXPTIME: 3449.95 -> 29.9995652174 fullspec150506.0026.ec.fits updated fullspec150506.0027.ec.fits 172500. fullspec150506.0027.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec150506.0027.ec.fits updated fullspec150506.0029.ec.fits 172500. fullspec150506.0029.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec150506.0029.ec.fits updated fullspec150506.0030.ec.fits 6900.013 fullspec150506.0030.ec.fits,EXPTIME: 6900.013 -> 60.0001130435 fullspec150506.0030.ec.fits updated fullspec150506.0031.ec.fits 172500. fullspec150506.0031.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec150506.0031.ec.fits updated fullspec150506.0032.ec.fits 172500. fullspec150506.0032.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec150506.0032.ec.fits updated fullspec150506.0033.ec.fits 103500. fullspec150506.0033.ec.fits,EXPTIME: 103500. -> 900.0 fullspec150506.0033.ec.fits updated fullspec150506.0034.ec.fits 6900.004 fullspec150506.0034.ec.fits,EXPTIME: 6900.004 -> 60.0000347826 fullspec150506.0034.ec.fits updated ALL DONE! Yay! (=^.^=)