Copying data files and other necessary files Changing to reduced data directory Generating file lists... Setting dispaxis... add 141016.0009.fits,dispaxis = 1 141016.0009.fits updated add 141016.0010.fits,dispaxis = 1 141016.0010.fits updated add 141016.0011.fits,dispaxis = 1 141016.0011.fits updated add 141016.0013.fits,dispaxis = 1 141016.0013.fits updated add 141016.0014.fits,dispaxis = 1 141016.0014.fits updated add 141016.0015.fits,dispaxis = 1 141016.0015.fits updated add 141016.0017.fits,dispaxis = 1 141016.0017.fits updated add 141016.0018.fits,dispaxis = 1 141016.0018.fits updated add 141016.0019.fits,dispaxis = 1 141016.0019.fits updated add 141016.0021.fits,dispaxis = 1 141016.0021.fits updated add 141016.0022.fits,dispaxis = 1 141016.0022.fits updated add 141016.0023.fits,dispaxis = 1 141016.0023.fits updated add 141016.0025.fits,dispaxis = 1 141016.0025.fits updated add 141016.0026.fits,dispaxis = 1 141016.0026.fits updated add 141016.0027.fits,dispaxis = 1 141016.0027.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.0001.fits,dispaxis = 1 EchelleFlat.0001.fits updated add EchelleFlat.0002.fits,dispaxis = 1 EchelleFlat.0002.fits updated add EchelleFlat.0003.fits,dispaxis = 1 EchelleFlat.0003.fits updated add EchelleFlatBlue.0004.fits,dispaxis = 1 EchelleFlatBlue.0004.fits updated add EchelleFlatBlue.0005.fits,dispaxis = 1 EchelleFlatBlue.0005.fits updated add EchelleFlatBlue.0006.fits,dispaxis = 1 EchelleFlatBlue.0006.fits updated add EchelleThAr.0007.fits,dispaxis = 1 EchelleThAr.0007.fits updated add EchelleThAr.0008.fits,dispaxis = 1 EchelleThAr.0008.fits updated add EchelleThAr.0012.fits,dispaxis = 1 EchelleThAr.0012.fits updated add EchelleThAr.0016.fits,dispaxis = 1 EchelleThAr.0016.fits updated add EchelleThAr.0020.fits,dispaxis = 1 EchelleThAr.0020.fits updated add EchelleThAr.0024.fits,dispaxis = 1 EchelleThAr.0024.fits updated add EchelleThAr.0028.fits,dispaxis = 1 EchelleThAr.0028.fits updated FIXPIX: image EchelleFlat.0001.fits with mask echmask.pl FIXPIX: image EchelleFlat.0002.fits with mask echmask.pl FIXPIX: image EchelleFlat.0003.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0004.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0005.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0006.fits with mask echmask.pl FIXPIX: image 141016.0009.fits with mask echmask.pl FIXPIX: image 141016.0010.fits with mask echmask.pl FIXPIX: image 141016.0011.fits with mask echmask.pl FIXPIX: image 141016.0013.fits with mask echmask.pl FIXPIX: image 141016.0014.fits with mask echmask.pl FIXPIX: image 141016.0015.fits with mask echmask.pl FIXPIX: image 141016.0017.fits with mask echmask.pl FIXPIX: image 141016.0018.fits with mask echmask.pl FIXPIX: image 141016.0019.fits with mask echmask.pl FIXPIX: image 141016.0021.fits with mask echmask.pl FIXPIX: image 141016.0022.fits with mask echmask.pl FIXPIX: image 141016.0023.fits with mask echmask.pl FIXPIX: image 141016.0025.fits with mask echmask.pl FIXPIX: image 141016.0026.fits with mask echmask.pl FIXPIX: image 141016.0027.fits with mask echmask.pl FIXPIX: image EchelleThAr.0007.fits with mask echmask.pl FIXPIX: image EchelleThAr.0008.fits with mask echmask.pl FIXPIX: image EchelleThAr.0012.fits with mask echmask.pl FIXPIX: image EchelleThAr.0016.fits with mask echmask.pl FIXPIX: image EchelleThAr.0020.fits with mask echmask.pl FIXPIX: image EchelleThAr.0024.fits with mask echmask.pl FIXPIX: image EchelleThAr.0028.fits with mask echmask.pl Oct 16 14:47: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Exp EchelleBias.0001.fits 0.0 EchelleBias.0002.fits 1.2 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)... 141016.0009.fits: Oct 16 14:47 Trim data section is [200:1850,1:2048] bias_fid: Oct 16 14:47 Trim data section is [200:1850,1:2048] 141016.0009.fits: Oct 16 14:47 Zero level correction image is bias_fid 141016.0010.fits: Oct 16 14:47 Trim data section is [200:1850,1:2048] 141016.0010.fits: Oct 16 14:47 Zero level correction image is bias_fid 141016.0011.fits: Oct 16 14:47 Trim data section is [200:1850,1:2048] 141016.0011.fits: Oct 16 14:47 Zero level correction image is bias_fid 141016.0013.fits: Oct 16 14:47 Trim data section is [200:1850,1:2048] 141016.0013.fits: Oct 16 14:47 Zero level correction image is bias_fid 141016.0014.fits: Oct 16 14:47 Trim data section is [200:1850,1:2048] 141016.0014.fits: Oct 16 14:47 Zero level correction image is bias_fid 141016.0015.fits: Oct 16 14:47 Trim data section is [200:1850,1:2048] 141016.0015.fits: Oct 16 14:47 Zero level correction image is bias_fid 141016.0017.fits: Oct 16 14:47 Trim data section is [200:1850,1:2048] 141016.0017.fits: Oct 16 14:47 Zero level correction image is bias_fid 141016.0018.fits: Oct 16 14:47 Trim data section is [200:1850,1:2048] 141016.0018.fits: Oct 16 14:47 Zero level correction image is bias_fid 141016.0019.fits: Oct 16 14:47 Trim data section is [200:1850,1:2048] 141016.0019.fits: Oct 16 14:47 Zero level correction image is bias_fid 141016.0021.fits: Oct 16 14:47 Trim data section is [200:1850,1:2048] 141016.0021.fits: Oct 16 14:47 Zero level correction image is bias_fid 141016.0022.fits: Oct 16 14:48 Trim data section is [200:1850,1:2048] 141016.0022.fits: Oct 16 14:48 Zero level correction image is bias_fid 141016.0023.fits: Oct 16 14:48 Trim data section is [200:1850,1:2048] 141016.0023.fits: Oct 16 14:48 Zero level correction image is bias_fid 141016.0025.fits: Oct 16 14:48 Trim data section is [200:1850,1:2048] 141016.0025.fits: Oct 16 14:48 Zero level correction image is bias_fid 141016.0026.fits: Oct 16 14:48 Trim data section is [200:1850,1:2048] 141016.0026.fits: Oct 16 14:48 Zero level correction image is bias_fid 141016.0027.fits: Oct 16 14:48 Trim data section is [200:1850,1:2048] 141016.0027.fits: Oct 16 14:48 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlat.0001.fits: Oct 16 14:48 Trim data section is [200:1850,1:2048] EchelleFlat.0001.fits: Oct 16 14:48 Zero level correction image is bias_fid EchelleFlat.0002.fits: Oct 16 14:48 Trim data section is [200:1850,1:2048] EchelleFlat.0002.fits: Oct 16 14:48 Zero level correction image is bias_fid EchelleFlat.0003.fits: Oct 16 14:48 Trim data section is [200:1850,1:2048] EchelleFlat.0003.fits: Oct 16 14:48 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlatBlue.0004.fits: Oct 16 14:48 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0004.fits: Oct 16 14:48 Zero level correction image is bias_fid EchelleFlatBlue.0005.fits: Oct 16 14:48 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0005.fits: Oct 16 14:48 Zero level correction image is bias_fid EchelleFlatBlue.0006.fits: Oct 16 14:48 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0006.fits: Oct 16 14:48 Zero level correction image is bias_fid Calibrating ThAr arcs... EchelleThAr.0007.fits: Oct 16 14:48 Trim data section is [200:1850,1:2048] EchelleThAr.0007.fits: Oct 16 14:48 Zero level correction image is bias_fid EchelleThAr.0008.fits: Oct 16 14:48 Trim data section is [200:1850,1:2048] EchelleThAr.0008.fits: Oct 16 14:48 Zero level correction image is bias_fid EchelleThAr.0012.fits: Oct 16 14:48 Trim data section is [200:1850,1:2048] EchelleThAr.0012.fits: Oct 16 14:48 Zero level correction image is bias_fid EchelleThAr.0016.fits: Oct 16 14:48 Trim data section is [200:1850,1:2048] EchelleThAr.0016.fits: Oct 16 14:48 Zero level correction image is bias_fid EchelleThAr.0020.fits: Oct 16 14:48 Trim data section is [200:1850,1:2048] EchelleThAr.0020.fits: Oct 16 14:48 Zero level correction image is bias_fid EchelleThAr.0024.fits: Oct 16 14:48 Trim data section is [200:1850,1:2048] EchelleThAr.0024.fits: Oct 16 14:48 Zero level correction image is bias_fid EchelleThAr.0028.fits: Oct 16 14:48 Trim data section is [200:1850,1:2048] EchelleThAr.0028.fits: Oct 16 14:48 Zero level correction image is bias_fid Combining red and blue flats into separate fiducial flats... Oct 16 14:48: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp EchelleFlatBlue.0004.fits 200.0 EchelleFlatBlue.0005.fits 200.0 EchelleFlatBlue.0006.fits 200.0 Output image = flat_blue_mean.fits, ncombine = 3 Oct 16 14:48: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp EchelleFlat.0001.fits 7.0 EchelleFlat.0002.fits 7.0 EchelleFlat.0003.fits 7.0 Output image = flat_red_mean.fits, ncombine = 3 Combining average red and blue flats into a superflat... IMARITH: Operation = * Operand1 = flat_red_mean.fits Operand2 = filter_redflat.fit Result = flat_red_mean_filt.fits Result pixel type = double Calculation type = double IMARITH: Operation = + Operand1 = flat_blue_mean.fits Operand2 = flat_red_mean_filt.fits Result = junk Result pixel type = double Calculation type = double IMARITH: Operation = / Operand1 = junk Operand2 = 2.0 Result = flat_fid Result pixel type = double Calculation type = double Replacement value for division by zero = 0. Resample the superflat in the y direction... flat_fid_mag.fits Magnify image flat_fid.fits to image flat_fid_mag.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 flat_fid_mag.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] flat_fid_mag.fits updated Modeling and extracting the superflat... Oct 16 14:48: TRACE - Trace of aperture 98 in flat_fid_mag lost at column 1624. Oct 16 14:48: TRACE - Trace of aperture 98 in flat_fid_mag recovered at column 1625. Oct 16 14:48: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1637. Oct 16 14:48: TRACE - Trace of aperture 99 in flat_fid_mag recovered at column 1638. Oct 16 14:48: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1645. Oct 16 14:48: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1646. Oct 16 14:48: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1647. Oct 16 14:48: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 99. Oct 16 14:48: TRACE - Trace of aperture 99 in flat_fid_mag recovered at column 98. Oct 16 14:48: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1610. Oct 16 14:48: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1611. Oct 16 14:48: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1612. Oct 16 14:48: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1632. Oct 16 14:48: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1633. Oct 16 14:48: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 1634. Oct 16 14:48: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 153. Oct 16 14:48: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 152. Oct 16 14:48: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 119. Oct 16 14:48: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 118. Oct 16 14:48: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 117. Oct 16 14:48: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 50. Oct 16 14:48: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 49. Oct 16 14:48: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 48. Oct 16 14:48: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1564. Oct 16 14:48: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1565. Oct 16 14:48: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1614. Oct 16 14:48: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1615. Oct 16 14:48: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1616. Oct 16 14:48: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 171. Oct 16 14:48: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 170. Oct 16 14:48: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 169. Oct 16 14:48: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 110. Oct 16 14:48: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 109. Oct 16 14:48: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 108. Oct 16 14:48: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1549. Oct 16 14:48: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1550. Oct 16 14:48: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1562. Oct 16 14:48: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1563. Oct 16 14:48: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1564. Oct 16 14:48: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1581. Oct 16 14:48: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1582. Oct 16 14:48: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1583. Oct 16 14:48: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 148. Oct 16 14:48: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 147. Oct 16 14:48: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 105. Oct 16 14:48: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 104. Oct 16 14:48: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 103. Oct 16 14:48: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 102. Oct 16 14:48: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1566. Oct 16 14:48: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1567. Oct 16 14:48: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1568. Oct 16 14:48: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1580. Oct 16 14:48: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1581. Oct 16 14:48: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1608. Oct 16 14:48: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1609. Oct 16 14:48: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1614. Oct 16 14:48: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1615. Oct 16 14:48: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1631. Oct 16 14:48: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1632. Oct 16 14:48: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1635. Oct 16 14:48: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1636. Oct 16 14:48: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 169. Oct 16 14:48: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 168. Oct 16 14:48: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 167. Oct 16 14:48: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1473. Oct 16 14:48: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1474. Oct 16 14:48: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1549. Oct 16 14:48: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1550. Oct 16 14:48: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1551. Oct 16 14:48: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 203. Oct 16 14:48: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 202. Oct 16 14:48: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 201. Oct 16 14:48: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1494. Oct 16 14:48: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1495. Oct 16 14:48: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1514. Oct 16 14:48: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1515. Oct 16 14:48: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1516. Oct 16 14:48: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1517. Oct 16 14:48: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1518. Oct 16 14:48: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1528. Oct 16 14:48: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1529. Oct 16 14:48: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1530. Oct 16 14:48: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 218. Oct 16 14:48: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 217. Oct 16 14:48: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 199. Oct 16 14:48: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 198. Oct 16 14:48: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 197. Oct 16 14:48: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 181. Oct 16 14:48: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 180. Oct 16 14:48: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 179. Oct 16 14:48: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1491. Oct 16 14:48: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1492. Oct 16 14:48: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1493. Oct 16 14:48: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 234. Oct 16 14:48: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 233. Oct 16 14:48: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 201. Oct 16 14:48: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 200. Oct 16 14:48: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 193. Oct 16 14:48: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 192. Oct 16 14:48: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 191. Oct 16 14:48: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 190. Oct 16 14:48: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 189. Oct 16 14:48: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1452. Oct 16 14:48: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1453. Oct 16 14:48: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1462. Oct 16 14:48: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1463. Oct 16 14:48: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1470. Oct 16 14:48: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1471. Oct 16 14:48: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1483. Oct 16 14:48: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1484. Oct 16 14:48: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1485. Oct 16 14:48: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 239. Oct 16 14:48: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 238. Oct 16 14:48: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 237. Oct 16 14:48: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 232. Oct 16 14:48: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 231. Oct 16 14:48: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 230. Oct 16 14:48: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1376. Oct 16 14:48: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1377. Oct 16 14:48: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1393. Oct 16 14:48: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1394. Oct 16 14:48: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1435. Oct 16 14:48: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1436. Oct 16 14:48: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1437. Oct 16 14:48: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 255. Oct 16 14:48: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 254. Oct 16 14:48: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 252. Oct 16 14:48: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 251. Oct 16 14:48: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 250. Oct 16 14:48: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1353. Oct 16 14:48: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1354. Oct 16 14:48: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1390. Oct 16 14:48: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1391. Oct 16 14:48: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1392. Oct 16 14:48: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 312. Oct 16 14:48: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 311. Oct 16 14:48: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 310. Oct 16 14:48: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 309. Oct 16 14:48: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 308. Oct 16 14:48: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 306. Oct 16 14:48: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 305. Oct 16 14:48: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 304. Oct 16 14:48: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 276. Oct 16 14:48: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 275. Oct 16 14:48: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 274. Oct 16 14:48: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 271. Oct 16 14:48: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 270. Oct 16 14:48: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 269. Oct 16 14:48: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1371. Oct 16 14:48: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1372. Oct 16 14:48: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1384. Oct 16 14:48: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1385. Oct 16 14:48: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1386. Oct 16 14:48: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 294. Oct 16 14:48: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 293. Oct 16 14:48: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 284. Oct 16 14:48: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 283. Oct 16 14:48: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 282. Oct 16 14:48: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 281. Oct 16 14:48: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 280. Oct 16 14:48: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 279. Oct 16 14:48: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1284. Oct 16 14:48: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1285. Oct 16 14:48: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1289. Oct 16 14:48: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1290. Oct 16 14:48: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1302. Oct 16 14:48: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1303. Oct 16 14:48: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1304. Oct 16 14:48: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 366. Oct 16 14:48: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 365. Oct 16 14:48: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 327. Oct 16 14:48: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 326. Oct 16 14:48: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 325. Oct 16 14:48: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1153. Oct 16 14:48: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1154. Oct 16 14:48: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1178. Oct 16 14:48: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1179. Oct 16 14:48: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1180. Oct 16 14:48: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1224. Oct 16 14:48: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1225. Oct 16 14:48: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1258. Oct 16 14:48: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1259. Oct 16 14:48: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1260. Oct 16 14:48: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 436. Oct 16 14:48: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 435. Oct 16 14:48: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 389. Oct 16 14:48: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 388. Oct 16 14:48: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 371. Oct 16 14:48: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 370. Oct 16 14:48: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 369. Oct 16 14:48: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1000. Oct 16 14:48: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1001. Oct 16 14:48: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1025. Oct 16 14:48: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1026. Oct 16 14:48: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1027. Oct 16 14:48: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1091. Oct 16 14:48: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1092. Oct 16 14:48: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1117. Oct 16 14:48: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1118. Oct 16 14:48: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1119. Oct 16 14:48: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1136. Oct 16 14:48: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1137. Oct 16 14:48: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1183. Oct 16 14:48: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1184. Oct 16 14:48: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1215. Oct 16 14:48: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1216. Oct 16 14:48: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1217. Oct 16 14:48: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 497. Oct 16 14:48: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 496. Oct 16 14:48: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 427. Oct 16 14:48: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 426. Oct 16 14:48: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 420. Oct 16 14:48: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 419. Oct 16 14:48: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 418. Oct 16 14:48: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 854. Oct 16 14:48: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 855. Oct 16 14:48: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 856. Oct 16 14:48: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1013. Oct 16 14:48: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1014. Oct 16 14:48: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1015. Oct 16 14:48: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 657. Oct 16 14:48: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 656. Oct 16 14:48: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 655. Oct 16 14:48: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 626. Oct 16 14:48: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 625. Oct 16 14:48: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 624. Normalizing the superflat... flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits IMARITH: Operation = + Operand1 = nonorm_flat_fid_mag.ec.fits Operand2 = 10.94 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.0007.fits Magnify image EchelleThAr.0007.fits to image EchelleThAr.0007.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.0007.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0007.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0008.fits Magnify image EchelleThAr.0008.fits to image EchelleThAr.0008.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.0008.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0008.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0012.fits Magnify image EchelleThAr.0012.fits to image EchelleThAr.0012.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0012.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0012.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0016.fits Magnify image EchelleThAr.0016.fits to image EchelleThAr.0016.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.0016.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0016.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.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 object by a factor of 4 in the y direction... 141016.0009 Magnify image 141016.0009 to image 141016.0009. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 141016.0009,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141016.0009 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141016.0009 -> noscat141016.0009 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 141016.0010 Magnify image 141016.0010 to image 141016.0010. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 141016.0010,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141016.0010 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141016.0010 -> noscat141016.0010 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 16 14:50: EXTRACT: WARNING - Aperture 1: Oct 16 14:50: Total variance weighted spectrum flux is 4980.061 Oct 16 14:50: Total unweighted spectrum flux is 2193.496 Oct 16 14:50: EXTRACT: Aperture 1 variance spectrum bias factor is 0.4404558 Oct 16 14:50: EXTRACT: WARNING - Aperture 109: Oct 16 14:50: Total variance weighted spectrum flux is 3383.622 Oct 16 14:50: Total unweighted spectrum flux is 1473.008 Oct 16 14:50: EXTRACT: Aperture 109 variance spectrum bias factor is 0.4353346 Oct 16 14:50: EXTRACT: WARNING - Aperture 110: Oct 16 14:50: Total variance weighted spectrum flux is 8148.189 Oct 16 14:50: Total unweighted spectrum flux is 3617.002 Oct 16 14:50: EXTRACT: Aperture 110 variance spectrum bias factor is 0.4439026 Oct 16 14:50: EXTRACT: WARNING - Aperture 112: Oct 16 14:50: Total variance weighted spectrum flux is 4862.822 Oct 16 14:50: Total unweighted spectrum flux is 2136.9 Oct 16 14:50: EXTRACT: Aperture 112 variance spectrum bias factor is 0.4394362 Oct 16 14:50: EXTRACT: WARNING - Aperture 113: Oct 16 14:50: Total variance weighted spectrum flux is 2736.204 Oct 16 14:50: Total unweighted spectrum flux is -849.4778 Oct 16 14:50: Variance spectrum bias factor ignored Oct 16 14:50: EXTRACT: WARNING - Aperture 114: Oct 16 14:50: Total variance weighted spectrum flux is 6571.648 Oct 16 14:50: Total unweighted spectrum flux is 2042.435 Oct 16 14:50: EXTRACT: Aperture 114 variance spectrum bias factor is 0.310795 Oct 16 14:50: EXTRACT: WARNING - Aperture 115: Oct 16 14:50: Total variance weighted spectrum flux is 114.1991 Oct 16 14:50: Total unweighted spectrum flux is -1476.99 Oct 16 14:50: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 141016.0011 Magnify image 141016.0011 to image 141016.0011. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 141016.0011,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141016.0011 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141016.0011 -> noscat141016.0011 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 16 14:51: EXTRACT: WARNING - Aperture 106: Oct 16 14:51: Total variance weighted spectrum flux is 9287.51 Oct 16 14:51: Total unweighted spectrum flux is 4210.708 Oct 16 14:51: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4533731 Oct 16 14:51: EXTRACT: WARNING - Aperture 109: Oct 16 14:51: Total variance weighted spectrum flux is 14024.63 Oct 16 14:51: Total unweighted spectrum flux is 6075.732 Oct 16 14:51: EXTRACT: Aperture 109 variance spectrum bias factor is 0.4332189 Oct 16 14:51: EXTRACT: WARNING - Aperture 110: Oct 16 14:51: Total variance weighted spectrum flux is 5181.282 Oct 16 14:51: Total unweighted spectrum flux is 1882.292 Oct 16 14:51: EXTRACT: Aperture 110 variance spectrum bias factor is 0.3632869 Oct 16 14:51: EXTRACT: WARNING - Aperture 111: Oct 16 14:51: Total variance weighted spectrum flux is 7599.993 Oct 16 14:51: Total unweighted spectrum flux is 2010.489 Oct 16 14:51: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2645383 Oct 16 14:51: EXTRACT: WARNING - Aperture 112: Oct 16 14:51: Total variance weighted spectrum flux is 2328.298 Oct 16 14:51: Total unweighted spectrum flux is 751.0406 Oct 16 14:51: EXTRACT: Aperture 112 variance spectrum bias factor is 0.3225706 Oct 16 14:51: EXTRACT: WARNING - Aperture 113: Oct 16 14:51: Total variance weighted spectrum flux is 4663.614 Oct 16 14:51: Total unweighted spectrum flux is 957.7946 Oct 16 14:51: EXTRACT: Aperture 113 variance spectrum bias factor is 0.205376 Oct 16 14:51: EXTRACT: WARNING - Aperture 114: Oct 16 14:51: Total variance weighted spectrum flux is 3120.721 Oct 16 14:51: Total unweighted spectrum flux is 764.3411 Oct 16 14:51: EXTRACT: Aperture 114 variance spectrum bias factor is 0.2449245 Oct 16 14:51: EXTRACT: WARNING - Aperture 115: Oct 16 14:51: Total variance weighted spectrum flux is 1443.598 Oct 16 14:51: Total unweighted spectrum flux is 544.8688 Oct 16 14:51: EXTRACT: Aperture 115 variance spectrum bias factor is 0.377438 Resampling the object by a factor of 4 in the y direction... 141016.0013 Magnify image 141016.0013 to image 141016.0013. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 141016.0013,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141016.0013 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141016.0013 -> noscat141016.0013 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 16 14:51: EXTRACT: WARNING - Aperture 113: Oct 16 14:51: Total variance weighted spectrum flux is 8463.344 Oct 16 14:51: Total unweighted spectrum flux is 3538.338 Oct 16 14:51: EXTRACT: Aperture 113 variance spectrum bias factor is 0.418078 Resampling the object by a factor of 4 in the y direction... 141016.0014 Magnify image 141016.0014 to image 141016.0014. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 141016.0014,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141016.0014 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141016.0014 -> noscat141016.0014 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 141016.0015 Magnify image 141016.0015 to image 141016.0015. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 141016.0015,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141016.0015 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141016.0015 -> noscat141016.0015 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 16 14:53: EXTRACT: WARNING - Aperture 1: Oct 16 14:53: Total variance weighted spectrum flux is 2782.419 Oct 16 14:53: Total unweighted spectrum flux is 374.222 Oct 16 14:53: EXTRACT: Aperture 1 variance spectrum bias factor is 0.1344952 Oct 16 14:53: EXTRACT: WARNING - Aperture 94: Oct 16 14:53: Total variance weighted spectrum flux is 6707.589 Oct 16 14:53: Total unweighted spectrum flux is 3077.052 Oct 16 14:53: EXTRACT: Aperture 94 variance spectrum bias factor is 0.458742 Oct 16 14:53: EXTRACT: WARNING - Aperture 102: Oct 16 14:53: Total variance weighted spectrum flux is 9593.546 Oct 16 14:53: Total unweighted spectrum flux is 3914.644 Oct 16 14:53: EXTRACT: Aperture 102 variance spectrum bias factor is 0.4080497 Oct 16 14:53: EXTRACT: WARNING - Aperture 104: Oct 16 14:53: Total variance weighted spectrum flux is 3512.141 Oct 16 14:53: Total unweighted spectrum flux is 157.7532 Oct 16 14:53: EXTRACT: Aperture 104 variance spectrum bias factor is 0.04491653 Oct 16 14:53: EXTRACT: WARNING - Aperture 106: Oct 16 14:53: Total variance weighted spectrum flux is 5237.456 Oct 16 14:53: Total unweighted spectrum flux is 1642.534 Oct 16 14:53: EXTRACT: Aperture 106 variance spectrum bias factor is 0.3136131 Oct 16 14:53: EXTRACT: WARNING - Aperture 107: Oct 16 14:53: Total variance weighted spectrum flux is 3939.96 Oct 16 14:53: Total unweighted spectrum flux is 1728.222 Oct 16 14:53: EXTRACT: Aperture 107 variance spectrum bias factor is 0.4386394 Oct 16 14:53: EXTRACT: WARNING - Aperture 108: Oct 16 14:53: Total variance weighted spectrum flux is 7427.992 Oct 16 14:53: Total unweighted spectrum flux is 2253.228 Oct 16 14:53: EXTRACT: Aperture 108 variance spectrum bias factor is 0.3033428 Oct 16 14:53: EXTRACT: WARNING - Aperture 109: Oct 16 14:53: Total variance weighted spectrum flux is 2582.735 Oct 16 14:53: Total unweighted spectrum flux is -93.39816 Oct 16 14:53: Variance spectrum bias factor ignored Oct 16 14:53: EXTRACT: WARNING - Aperture 110: Oct 16 14:53: Total variance weighted spectrum flux is 3266.947 Oct 16 14:53: Total unweighted spectrum flux is 1422.133 Oct 16 14:53: EXTRACT: Aperture 110 variance spectrum bias factor is 0.4353094 Oct 16 14:53: EXTRACT: WARNING - Aperture 111: Oct 16 14:53: Total variance weighted spectrum flux is 6262.999 Oct 16 14:53: Total unweighted spectrum flux is 1804.969 Oct 16 14:53: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2881956 Oct 16 14:53: EXTRACT: WARNING - Aperture 112: Oct 16 14:53: Total variance weighted spectrum flux is 7104.169 Oct 16 14:53: Total unweighted spectrum flux is 2016.399 Oct 16 14:53: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2838331 Oct 16 14:53: EXTRACT: WARNING - Aperture 113: Oct 16 14:53: Total variance weighted spectrum flux is 2820.139 Oct 16 14:53: Total unweighted spectrum flux is -209.2744 Oct 16 14:53: Variance spectrum bias factor ignored Oct 16 14:53: EXTRACT: WARNING - Aperture 114: Oct 16 14:53: Total variance weighted spectrum flux is 4910.104 Oct 16 14:53: Total unweighted spectrum flux is -105.4366 Oct 16 14:53: Variance spectrum bias factor ignored Oct 16 14:53: EXTRACT: WARNING - Aperture 115: Oct 16 14:53: Total variance weighted spectrum flux is 2063.481 Oct 16 14:53: Total unweighted spectrum flux is 151.1366 Oct 16 14:53: EXTRACT: Aperture 115 variance spectrum bias factor is 0.0732435 Resampling the object by a factor of 4 in the y direction... 141016.0017 Magnify image 141016.0017 to image 141016.0017. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 141016.0017,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141016.0017 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141016.0017 -> noscat141016.0017 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 16 14:53: EXTRACT: WARNING - Aperture 1: Oct 16 14:53: Total variance weighted spectrum flux is 7401.053 Oct 16 14:53: Total unweighted spectrum flux is 3374.312 Oct 16 14:53: EXTRACT: Aperture 1 variance spectrum bias factor is 0.4559233 Oct 16 14:54: EXTRACT: WARNING - Aperture 106: Oct 16 14:54: Total variance weighted spectrum flux is 14105.32 Oct 16 14:54: Total unweighted spectrum flux is 4340.408 Oct 16 14:54: EXTRACT: Aperture 106 variance spectrum bias factor is 0.3077142 Oct 16 14:54: EXTRACT: WARNING - Aperture 107: Oct 16 14:54: Total variance weighted spectrum flux is 7809.267 Oct 16 14:54: Total unweighted spectrum flux is 2711.501 Oct 16 14:54: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3472158 Oct 16 14:54: EXTRACT: WARNING - Aperture 108: Oct 16 14:54: Total variance weighted spectrum flux is 6320.379 Oct 16 14:54: Total unweighted spectrum flux is 3022.19 Oct 16 14:54: EXTRACT: Aperture 108 variance spectrum bias factor is 0.478166 Oct 16 14:54: EXTRACT: WARNING - Aperture 109: Oct 16 14:54: Total variance weighted spectrum flux is 3745.413 Oct 16 14:54: Total unweighted spectrum flux is 1612.835 Oct 16 14:54: EXTRACT: Aperture 109 variance spectrum bias factor is 0.4306161 Oct 16 14:54: EXTRACT: WARNING - Aperture 110: Oct 16 14:54: Total variance weighted spectrum flux is 7835.258 Oct 16 14:54: Total unweighted spectrum flux is 3493.787 Oct 16 14:54: EXTRACT: Aperture 110 variance spectrum bias factor is 0.4459058 Oct 16 14:54: EXTRACT: WARNING - Aperture 111: Oct 16 14:54: Total variance weighted spectrum flux is 4871.581 Oct 16 14:54: Total unweighted spectrum flux is 2191.395 Oct 16 14:54: EXTRACT: Aperture 111 variance spectrum bias factor is 0.4498324 Oct 16 14:54: EXTRACT: WARNING - Aperture 112: Oct 16 14:54: Total variance weighted spectrum flux is 4012.967 Oct 16 14:54: Total unweighted spectrum flux is -631.941 Oct 16 14:54: Variance spectrum bias factor ignored Oct 16 14:54: EXTRACT: WARNING - Aperture 113: Oct 16 14:54: Total variance weighted spectrum flux is 4747.771 Oct 16 14:54: Total unweighted spectrum flux is 716.7757 Oct 16 14:54: EXTRACT: Aperture 113 variance spectrum bias factor is 0.150971 Oct 16 14:54: EXTRACT: WARNING - Aperture 114: Oct 16 14:54: Total variance weighted spectrum flux is 8078.077 Oct 16 14:54: Total unweighted spectrum flux is 1156.606 Oct 16 14:54: EXTRACT: Aperture 114 variance spectrum bias factor is 0.1431784 Resampling the object by a factor of 4 in the y direction... 141016.0018 Magnify image 141016.0018 to image 141016.0018. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 141016.0018,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141016.0018 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141016.0018 -> noscat141016.0018 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 141016.0019 Magnify image 141016.0019 to image 141016.0019. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 141016.0019,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141016.0019 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141016.0019 -> noscat141016.0019 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 16 14:55: EXTRACT: WARNING - Aperture 1: Oct 16 14:55: Total variance weighted spectrum flux is -369.7407 Oct 16 14:55: Total unweighted spectrum flux is -7460.971 Oct 16 14:55: EXTRACT: Aperture 1 variance spectrum bias factor is 20.17893 Oct 16 14:55: EXTRACT: WARNING - Aperture 107: Oct 16 14:55: Total variance weighted spectrum flux is 14572.95 Oct 16 14:55: Total unweighted spectrum flux is 6163.282 Oct 16 14:55: EXTRACT: Aperture 107 variance spectrum bias factor is 0.4229262 Oct 16 14:55: EXTRACT: WARNING - Aperture 109: Oct 16 14:55: Total variance weighted spectrum flux is 9605.365 Oct 16 14:55: Total unweighted spectrum flux is 4056.979 Oct 16 14:55: EXTRACT: Aperture 109 variance spectrum bias factor is 0.422366 Oct 16 14:55: EXTRACT: WARNING - Aperture 112: Oct 16 14:55: Total variance weighted spectrum flux is 4973.721 Oct 16 14:55: Total unweighted spectrum flux is 2421.316 Oct 16 14:55: EXTRACT: Aperture 112 variance spectrum bias factor is 0.4868219 Oct 16 14:55: EXTRACT: WARNING - Aperture 114: Oct 16 14:55: Total variance weighted spectrum flux is 2312.343 Oct 16 14:55: Total unweighted spectrum flux is -643.3676 Oct 16 14:55: Variance spectrum bias factor ignored Oct 16 14:55: EXTRACT: WARNING - Aperture 115: Oct 16 14:55: Total variance weighted spectrum flux is 975.2361 Oct 16 14:55: Total unweighted spectrum flux is 209.6574 Oct 16 14:55: EXTRACT: Aperture 115 variance spectrum bias factor is 0.2149812 Resampling the object by a factor of 4 in the y direction... 141016.0021 Magnify image 141016.0021 to image 141016.0021. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 141016.0021,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141016.0021 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141016.0021 -> noscat141016.0021 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 16 14:56: EXTRACT: WARNING - Aperture 1: Oct 16 14:56: Total variance weighted spectrum flux is -2275.817 Oct 16 14:56: Total unweighted spectrum flux is -18868. Oct 16 14:56: EXTRACT: Aperture 1 variance spectrum bias factor is 8.290646 Oct 16 14:56: EXTRACT: WARNING - Aperture 109: Oct 16 14:56: Total variance weighted spectrum flux is 2069.458 Oct 16 14:56: Total unweighted spectrum flux is -690.7133 Oct 16 14:56: Variance spectrum bias factor ignored Oct 16 14:56: EXTRACT: WARNING - Aperture 111: Oct 16 14:56: Total variance weighted spectrum flux is 8834.57 Oct 16 14:56: Total unweighted spectrum flux is 3457.308 Oct 16 14:56: EXTRACT: Aperture 111 variance spectrum bias factor is 0.3913386 Oct 16 14:56: EXTRACT: WARNING - Aperture 113: Oct 16 14:56: Total variance weighted spectrum flux is 4294.192 Oct 16 14:56: Total unweighted spectrum flux is 1007.753 Oct 16 14:56: EXTRACT: Aperture 113 variance spectrum bias factor is 0.2346781 Oct 16 14:56: EXTRACT: WARNING - Aperture 114: Oct 16 14:56: Total variance weighted spectrum flux is 4994.471 Oct 16 14:56: Total unweighted spectrum flux is 527.026 Oct 16 14:56: EXTRACT: Aperture 114 variance spectrum bias factor is 0.1055219 Resampling the object by a factor of 4 in the y direction... 141016.0022 Magnify image 141016.0022 to image 141016.0022. 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 141016.0022,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141016.0022 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141016.0022 -> noscat141016.0022 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 16 14:57: EXTRACT: WARNING - Aperture 99: Oct 16 14:57: Total variance weighted spectrum flux is 10979.51 Oct 16 14:57: Total unweighted spectrum flux is 4884.86 Oct 16 14:57: EXTRACT: Aperture 99 variance spectrum bias factor is 0.4449067 Oct 16 14:57: EXTRACT: WARNING - Aperture 102: Oct 16 14:57: Total variance weighted spectrum flux is 10022.87 Oct 16 14:57: Total unweighted spectrum flux is 4898.632 Oct 16 14:57: EXTRACT: Aperture 102 variance spectrum bias factor is 0.4887457 Oct 16 14:57: EXTRACT: WARNING - Aperture 105: Oct 16 14:57: Total variance weighted spectrum flux is 6727.504 Oct 16 14:57: Total unweighted spectrum flux is 2980.762 Oct 16 14:57: EXTRACT: Aperture 105 variance spectrum bias factor is 0.443071 Oct 16 14:57: EXTRACT: WARNING - Aperture 106: Oct 16 14:57: Total variance weighted spectrum flux is 6371.629 Oct 16 14:57: Total unweighted spectrum flux is 1545.564 Oct 16 14:57: EXTRACT: Aperture 106 variance spectrum bias factor is 0.2425697 Oct 16 14:57: EXTRACT: WARNING - Aperture 107: Oct 16 14:57: Total variance weighted spectrum flux is 10982.79 Oct 16 14:57: Total unweighted spectrum flux is 3360.81 Oct 16 14:57: EXTRACT: Aperture 107 variance spectrum bias factor is 0.306007 Oct 16 14:57: EXTRACT: WARNING - Aperture 108: Oct 16 14:57: Total variance weighted spectrum flux is 4623.579 Oct 16 14:57: Total unweighted spectrum flux is 231.7893 Oct 16 14:57: EXTRACT: Aperture 108 variance spectrum bias factor is 0.05013202 Oct 16 14:57: EXTRACT: WARNING - Aperture 109: Oct 16 14:57: Total variance weighted spectrum flux is 7818.598 Oct 16 14:57: Total unweighted spectrum flux is 1116.436 Oct 16 14:57: EXTRACT: Aperture 109 variance spectrum bias factor is 0.1427923 Oct 16 14:57: EXTRACT: WARNING - Aperture 110: Oct 16 14:57: Total variance weighted spectrum flux is 5930.044 Oct 16 14:57: Total unweighted spectrum flux is 285.5797 Oct 16 14:57: EXTRACT: Aperture 110 variance spectrum bias factor is 0.0481581 Oct 16 14:57: EXTRACT: WARNING - Aperture 111: Oct 16 14:57: Total variance weighted spectrum flux is 7018.772 Oct 16 14:57: Total unweighted spectrum flux is -202.3123 Oct 16 14:57: Variance spectrum bias factor ignored Oct 16 14:57: EXTRACT: WARNING - Aperture 112: Oct 16 14:57: Total variance weighted spectrum flux is 3724.788 Oct 16 14:57: Total unweighted spectrum flux is 763.6837 Oct 16 14:57: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2050274 Oct 16 14:57: EXTRACT: WARNING - Aperture 113: Oct 16 14:57: Total variance weighted spectrum flux is 5359.146 Oct 16 14:57: Total unweighted spectrum flux is 1443.755 Oct 16 14:57: EXTRACT: Aperture 113 variance spectrum bias factor is 0.2694001 Oct 16 14:57: EXTRACT: WARNING - Aperture 114: Oct 16 14:57: Total variance weighted spectrum flux is 4343.007 Oct 16 14:57: Total unweighted spectrum flux is 1135.835 Oct 16 14:57: EXTRACT: Aperture 114 variance spectrum bias factor is 0.2615319 Oct 16 14:57: EXTRACT: WARNING - Aperture 115: Oct 16 14:57: Total variance weighted spectrum flux is 5824.671 Oct 16 14:57: Total unweighted spectrum flux is 2181.391 Oct 16 14:57: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3745088 Resampling the object by a factor of 4 in the y direction... 141016.0023 Magnify image 141016.0023 to image 141016.0023. 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 141016.0023,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141016.0023 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141016.0023 -> noscat141016.0023 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 16 14:57: EXTRACT: WARNING - Aperture 97: Oct 16 14:57: Total variance weighted spectrum flux is 4419.924 Oct 16 14:57: Total unweighted spectrum flux is 1319.406 Oct 16 14:57: EXTRACT: Aperture 97 variance spectrum bias factor is 0.2985132 Oct 16 14:57: EXTRACT: WARNING - Aperture 99: Oct 16 14:57: Total variance weighted spectrum flux is 8747.522 Oct 16 14:57: Total unweighted spectrum flux is 2510.435 Oct 16 14:57: EXTRACT: Aperture 99 variance spectrum bias factor is 0.2869881 Oct 16 14:57: EXTRACT: WARNING - Aperture 100: Oct 16 14:57: Total variance weighted spectrum flux is 12350.69 Oct 16 14:57: Total unweighted spectrum flux is 2442.027 Oct 16 14:57: EXTRACT: Aperture 100 variance spectrum bias factor is 0.1977239 Oct 16 14:57: EXTRACT: WARNING - Aperture 101: Oct 16 14:57: Total variance weighted spectrum flux is 7250.828 Oct 16 14:57: Total unweighted spectrum flux is 2313.766 Oct 16 14:57: EXTRACT: Aperture 101 variance spectrum bias factor is 0.3191037 Oct 16 14:57: EXTRACT: WARNING - Aperture 102: Oct 16 14:57: Total variance weighted spectrum flux is 5963.064 Oct 16 14:57: Total unweighted spectrum flux is 1066.581 Oct 16 14:57: EXTRACT: Aperture 102 variance spectrum bias factor is 0.1788646 Oct 16 14:57: EXTRACT: WARNING - Aperture 103: Oct 16 14:57: Total variance weighted spectrum flux is 8832.827 Oct 16 14:57: Total unweighted spectrum flux is 2746.296 Oct 16 14:57: EXTRACT: Aperture 103 variance spectrum bias factor is 0.3109192 Oct 16 14:57: EXTRACT: WARNING - Aperture 104: Oct 16 14:57: Total variance weighted spectrum flux is 4063.26 Oct 16 14:57: Total unweighted spectrum flux is 1414.114 Oct 16 14:57: EXTRACT: Aperture 104 variance spectrum bias factor is 0.3480244 Oct 16 14:57: EXTRACT: WARNING - Aperture 105: Oct 16 14:57: Total variance weighted spectrum flux is 6698.256 Oct 16 14:57: Total unweighted spectrum flux is 955.3972 Oct 16 14:57: EXTRACT: Aperture 105 variance spectrum bias factor is 0.1426337 Oct 16 14:57: EXTRACT: WARNING - Aperture 106: Oct 16 14:57: Total variance weighted spectrum flux is 3321.772 Oct 16 14:57: Total unweighted spectrum flux is 552.6292 Oct 16 14:57: EXTRACT: Aperture 106 variance spectrum bias factor is 0.1663658 Oct 16 14:57: EXTRACT: WARNING - Aperture 107: Oct 16 14:57: Total variance weighted spectrum flux is 8389.555 Oct 16 14:57: Total unweighted spectrum flux is 1647.434 Oct 16 14:57: EXTRACT: Aperture 107 variance spectrum bias factor is 0.1963672 Oct 16 14:57: EXTRACT: WARNING - Aperture 108: Oct 16 14:57: Total variance weighted spectrum flux is 3815.915 Oct 16 14:57: Total unweighted spectrum flux is -331.6847 Oct 16 14:57: Variance spectrum bias factor ignored Oct 16 14:57: EXTRACT: WARNING - Aperture 109: Oct 16 14:57: Total variance weighted spectrum flux is 7349.897 Oct 16 14:57: Total unweighted spectrum flux is 2513.768 Oct 16 14:57: EXTRACT: Aperture 109 variance spectrum bias factor is 0.3420141 Oct 16 14:57: EXTRACT: WARNING - Aperture 110: Oct 16 14:57: Total variance weighted spectrum flux is 2041.023 Oct 16 14:57: Total unweighted spectrum flux is -619.5365 Oct 16 14:57: Variance spectrum bias factor ignored Oct 16 14:58: EXTRACT: WARNING - Aperture 111: Oct 16 14:58: Total variance weighted spectrum flux is 2049.896 Oct 16 14:58: Total unweighted spectrum flux is -273.3495 Oct 16 14:58: Variance spectrum bias factor ignored Oct 16 14:58: EXTRACT: WARNING - Aperture 112: Oct 16 14:58: Total variance weighted spectrum flux is 5081.384 Oct 16 14:58: Total unweighted spectrum flux is 520.963 Oct 16 14:58: EXTRACT: Aperture 112 variance spectrum bias factor is 0.1025238 Oct 16 14:58: EXTRACT: WARNING - Aperture 113: Oct 16 14:58: Total variance weighted spectrum flux is 3972.522 Oct 16 14:58: Total unweighted spectrum flux is -339.7094 Oct 16 14:58: Variance spectrum bias factor ignored Oct 16 14:58: EXTRACT: WARNING - Aperture 114: Oct 16 14:58: Total variance weighted spectrum flux is 2516.004 Oct 16 14:58: Total unweighted spectrum flux is 74.98984 Oct 16 14:58: EXTRACT: Aperture 114 variance spectrum bias factor is 0.02980513 Oct 16 14:58: EXTRACT: WARNING - Aperture 115: Oct 16 14:58: Total variance weighted spectrum flux is 1786.354 Oct 16 14:58: Total unweighted spectrum flux is 657.4758 Oct 16 14:58: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3680545 Resampling the object by a factor of 4 in the y direction... 141016.0025 Magnify image 141016.0025 to image 141016.0025. 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 141016.0025,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141016.0025 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141016.0025 -> noscat141016.0025 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 16 14:58: EXTRACT: WARNING - Aperture 107: Oct 16 14:58: Total variance weighted spectrum flux is 7938.607 Oct 16 14:58: Total unweighted spectrum flux is 2843.652 Oct 16 14:58: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3582054 Oct 16 14:58: EXTRACT: WARNING - Aperture 108: Oct 16 14:58: Total variance weighted spectrum flux is 8491.204 Oct 16 14:58: Total unweighted spectrum flux is 2095.361 Oct 16 14:58: EXTRACT: Aperture 108 variance spectrum bias factor is 0.2467684 Oct 16 14:58: EXTRACT: WARNING - Aperture 109: Oct 16 14:58: Total variance weighted spectrum flux is 2918.455 Oct 16 14:58: Total unweighted spectrum flux is 1016.792 Oct 16 14:58: EXTRACT: Aperture 109 variance spectrum bias factor is 0.3484007 Oct 16 14:58: EXTRACT: WARNING - Aperture 110: Oct 16 14:58: Total variance weighted spectrum flux is 5047.611 Oct 16 14:58: Total unweighted spectrum flux is 1698.602 Oct 16 14:58: EXTRACT: Aperture 110 variance spectrum bias factor is 0.3365161 Oct 16 14:58: EXTRACT: WARNING - Aperture 111: Oct 16 14:58: Total variance weighted spectrum flux is 6381.766 Oct 16 14:58: Total unweighted spectrum flux is 1583.894 Oct 16 14:58: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2481906 Oct 16 14:58: EXTRACT: WARNING - Aperture 112: Oct 16 14:58: Total variance weighted spectrum flux is 4026.699 Oct 16 14:58: Total unweighted spectrum flux is 991.0745 Oct 16 14:58: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2461258 Oct 16 14:58: EXTRACT: WARNING - Aperture 113: Oct 16 14:58: Total variance weighted spectrum flux is 7011.814 Oct 16 14:58: Total unweighted spectrum flux is 84.03382 Oct 16 14:58: EXTRACT: Aperture 113 variance spectrum bias factor is 0.0119846 Oct 16 14:58: EXTRACT: WARNING - Aperture 114: Oct 16 14:58: Total variance weighted spectrum flux is 2011.475 Oct 16 14:58: Total unweighted spectrum flux is 504.7743 Oct 16 14:58: EXTRACT: Aperture 114 variance spectrum bias factor is 0.2509474 Resampling the object by a factor of 4 in the y direction... 141016.0026 Magnify image 141016.0026 to image 141016.0026. 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 141016.0026,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141016.0026 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141016.0026 -> noscat141016.0026 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 16 14:59: EXTRACT: WARNING - Aperture 1: Oct 16 14:59: Total variance weighted spectrum flux is 2566.19 Oct 16 14:59: Total unweighted spectrum flux is 324.4353 Oct 16 14:59: EXTRACT: Aperture 1 variance spectrum bias factor is 0.1264268 Oct 16 14:59: EXTRACT: WARNING - Aperture 2: Oct 16 14:59: Total variance weighted spectrum flux is 5969.959 Oct 16 14:59: Total unweighted spectrum flux is 2886.812 Oct 16 14:59: EXTRACT: Aperture 2 variance spectrum bias factor is 0.4835563 Oct 16 14:59: EXTRACT: WARNING - Aperture 91: Oct 16 14:59: Total variance weighted spectrum flux is 7123.268 Oct 16 14:59: Total unweighted spectrum flux is 3096.75 Oct 16 14:59: EXTRACT: Aperture 91 variance spectrum bias factor is 0.4347373 Oct 16 14:59: EXTRACT: WARNING - Aperture 92: Oct 16 14:59: Total variance weighted spectrum flux is 8405. Oct 16 14:59: Total unweighted spectrum flux is 2637.501 Oct 16 14:59: EXTRACT: Aperture 92 variance spectrum bias factor is 0.3138015 Oct 16 14:59: EXTRACT: WARNING - Aperture 93: Oct 16 14:59: Total variance weighted spectrum flux is 9809.909 Oct 16 14:59: Total unweighted spectrum flux is 1697.802 Oct 16 14:59: EXTRACT: Aperture 93 variance spectrum bias factor is 0.1730701 Oct 16 14:59: EXTRACT: WARNING - Aperture 94: Oct 16 14:59: Total variance weighted spectrum flux is 6057.039 Oct 16 14:59: Total unweighted spectrum flux is 1620.963 Oct 16 14:59: EXTRACT: Aperture 94 variance spectrum bias factor is 0.2676164 Oct 16 14:59: EXTRACT: WARNING - Aperture 95: Oct 16 14:59: Total variance weighted spectrum flux is 5379.72 Oct 16 14:59: Total unweighted spectrum flux is 338.5516 Oct 16 14:59: EXTRACT: Aperture 95 variance spectrum bias factor is 0.06293108 Oct 16 14:59: EXTRACT: WARNING - Aperture 96: Oct 16 14:59: Total variance weighted spectrum flux is 8090.186 Oct 16 14:59: Total unweighted spectrum flux is 1435.641 Oct 16 14:59: EXTRACT: Aperture 96 variance spectrum bias factor is 0.1774547 Oct 16 14:59: EXTRACT: WARNING - Aperture 97: Oct 16 14:59: Total variance weighted spectrum flux is 5539.718 Oct 16 14:59: Total unweighted spectrum flux is 508.9263 Oct 16 14:59: EXTRACT: Aperture 97 variance spectrum bias factor is 0.09186862 Oct 16 14:59: EXTRACT: WARNING - Aperture 98: Oct 16 14:59: Total variance weighted spectrum flux is 5683.176 Oct 16 14:59: Total unweighted spectrum flux is 196.6997 Oct 16 14:59: EXTRACT: Aperture 98 variance spectrum bias factor is 0.03461088 Oct 16 14:59: EXTRACT: WARNING - Aperture 99: Oct 16 14:59: Total variance weighted spectrum flux is 3616.613 Oct 16 14:59: Total unweighted spectrum flux is -36.27468 Oct 16 14:59: Variance spectrum bias factor ignored Oct 16 14:59: EXTRACT: WARNING - Aperture 100: Oct 16 14:59: Total variance weighted spectrum flux is 3001.875 Oct 16 14:59: Total unweighted spectrum flux is -476.9868 Oct 16 14:59: Variance spectrum bias factor ignored Oct 16 14:59: EXTRACT: WARNING - Aperture 101: Oct 16 14:59: Total variance weighted spectrum flux is 8979.129 Oct 16 14:59: Total unweighted spectrum flux is 290.0693 Oct 16 14:59: EXTRACT: Aperture 101 variance spectrum bias factor is 0.03230484 Oct 16 14:59: EXTRACT: WARNING - Aperture 102: Oct 16 14:59: Total variance weighted spectrum flux is 5649.112 Oct 16 14:59: Total unweighted spectrum flux is 532.5872 Oct 16 14:59: EXTRACT: Aperture 102 variance spectrum bias factor is 0.09427804 Oct 16 14:59: EXTRACT: WARNING - Aperture 103: Oct 16 14:59: Total variance weighted spectrum flux is 8548.649 Oct 16 14:59: Total unweighted spectrum flux is 910.7681 Oct 16 14:59: EXTRACT: Aperture 103 variance spectrum bias factor is 0.1065394 Oct 16 14:59: EXTRACT: WARNING - Aperture 104: Oct 16 14:59: Total variance weighted spectrum flux is 6223.188 Oct 16 14:59: Total unweighted spectrum flux is 1007.014 Oct 16 14:59: EXTRACT: Aperture 104 variance spectrum bias factor is 0.1618164 Oct 16 14:59: EXTRACT: WARNING - Aperture 105: Oct 16 14:59: Total variance weighted spectrum flux is 3230.802 Oct 16 14:59: Total unweighted spectrum flux is 612.0031 Oct 16 14:59: EXTRACT: Aperture 105 variance spectrum bias factor is 0.1894276 Oct 16 14:59: EXTRACT: WARNING - Aperture 106: Oct 16 14:59: Total variance weighted spectrum flux is 5406.636 Oct 16 14:59: Total unweighted spectrum flux is 1134.985 Oct 16 14:59: EXTRACT: Aperture 106 variance spectrum bias factor is 0.2099244 Oct 16 14:59: EXTRACT: WARNING - Aperture 107: Oct 16 14:59: Total variance weighted spectrum flux is 3287.25 Oct 16 14:59: Total unweighted spectrum flux is 328.6327 Oct 16 14:59: EXTRACT: Aperture 107 variance spectrum bias factor is 0.09997194 Oct 16 14:59: EXTRACT: WARNING - Aperture 108: Oct 16 14:59: Total variance weighted spectrum flux is 4828.709 Oct 16 14:59: Total unweighted spectrum flux is 709.8873 Oct 16 14:59: EXTRACT: Aperture 108 variance spectrum bias factor is 0.1470139 Oct 16 14:59: EXTRACT: WARNING - Aperture 109: Oct 16 14:59: Total variance weighted spectrum flux is 2325.45 Oct 16 14:59: Total unweighted spectrum flux is -365.5039 Oct 16 14:59: Variance spectrum bias factor ignored Oct 16 14:59: EXTRACT: WARNING - Aperture 110: Oct 16 14:59: Total variance weighted spectrum flux is 4682.615 Oct 16 14:59: Total unweighted spectrum flux is 147.3196 Oct 16 14:59: EXTRACT: Aperture 110 variance spectrum bias factor is 0.03146098 Oct 16 14:59: EXTRACT: WARNING - Aperture 111: Oct 16 14:59: Total variance weighted spectrum flux is 3914.648 Oct 16 14:59: Total unweighted spectrum flux is 222.3957 Oct 16 14:59: EXTRACT: Aperture 111 variance spectrum bias factor is 0.05681115 Oct 16 14:59: EXTRACT: WARNING - Aperture 112: Oct 16 14:59: Total variance weighted spectrum flux is 2641.863 Oct 16 14:59: Total unweighted spectrum flux is 614.3162 Oct 16 14:59: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2325314 Oct 16 14:59: EXTRACT: WARNING - Aperture 113: Oct 16 14:59: Total variance weighted spectrum flux is 6479.922 Oct 16 14:59: Total unweighted spectrum flux is -39.64536 Oct 16 14:59: Variance spectrum bias factor ignored Oct 16 14:59: EXTRACT: WARNING - Aperture 114: Oct 16 14:59: Total variance weighted spectrum flux is 2590.896 Oct 16 14:59: Total unweighted spectrum flux is -28.63618 Oct 16 14:59: Variance spectrum bias factor ignored Oct 16 14:59: EXTRACT: WARNING - Aperture 115: Oct 16 14:59: Total variance weighted spectrum flux is 1382.509 Oct 16 14:59: Total unweighted spectrum flux is -471.2452 Oct 16 14:59: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 141016.0027 Magnify image 141016.0027 to image 141016.0027. 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 141016.0027,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141016.0027 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141016.0027 -> noscat141016.0027 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 16 14:59: EXTRACT: WARNING - Aperture 1: Oct 16 14:59: Total variance weighted spectrum flux is 2774.816 Oct 16 14:59: Total unweighted spectrum flux is 359.4993 Oct 16 14:59: EXTRACT: Aperture 1 variance spectrum bias factor is 0.1295579 Oct 16 15:00: EXTRACT: WARNING - Aperture 98: Oct 16 15:00: Total variance weighted spectrum flux is 17065.44 Oct 16 15:00: Total unweighted spectrum flux is 6528.785 Oct 16 15:00: EXTRACT: Aperture 98 variance spectrum bias factor is 0.3825736 Oct 16 15:00: EXTRACT: WARNING - Aperture 99: Oct 16 15:00: Total variance weighted spectrum flux is 9216.43 Oct 16 15:00: Total unweighted spectrum flux is 3495.444 Oct 16 15:00: EXTRACT: Aperture 99 variance spectrum bias factor is 0.3792623 Oct 16 15:00: EXTRACT: WARNING - Aperture 100: Oct 16 15:00: Total variance weighted spectrum flux is 6058.14 Oct 16 15:00: Total unweighted spectrum flux is 1033.258 Oct 16 15:00: EXTRACT: Aperture 100 variance spectrum bias factor is 0.170557 Oct 16 15:00: EXTRACT: WARNING - Aperture 101: Oct 16 15:00: Total variance weighted spectrum flux is 7548.022 Oct 16 15:00: Total unweighted spectrum flux is 3089.59 Oct 16 15:00: EXTRACT: Aperture 101 variance spectrum bias factor is 0.4093245 Oct 16 15:00: EXTRACT: WARNING - Aperture 102: Oct 16 15:00: Total variance weighted spectrum flux is 12728.96 Oct 16 15:00: Total unweighted spectrum flux is 3731.11 Oct 16 15:00: EXTRACT: Aperture 102 variance spectrum bias factor is 0.2931197 Oct 16 15:00: EXTRACT: WARNING - Aperture 103: Oct 16 15:00: Total variance weighted spectrum flux is 14555.58 Oct 16 15:00: Total unweighted spectrum flux is 1528.777 Oct 16 15:00: EXTRACT: Aperture 103 variance spectrum bias factor is 0.1050303 Oct 16 15:00: EXTRACT: WARNING - Aperture 104: Oct 16 15:00: Total variance weighted spectrum flux is 3874.233 Oct 16 15:00: Total unweighted spectrum flux is 899.9591 Oct 16 15:00: EXTRACT: Aperture 104 variance spectrum bias factor is 0.2322935 Oct 16 15:00: EXTRACT: WARNING - Aperture 105: Oct 16 15:00: Total variance weighted spectrum flux is 9195.566 Oct 16 15:00: Total unweighted spectrum flux is 2567.062 Oct 16 15:00: EXTRACT: Aperture 105 variance spectrum bias factor is 0.279163 Oct 16 15:00: EXTRACT: WARNING - Aperture 106: Oct 16 15:00: Total variance weighted spectrum flux is 7447.58 Oct 16 15:00: Total unweighted spectrum flux is 809.7442 Oct 16 15:00: EXTRACT: Aperture 106 variance spectrum bias factor is 0.1087258 Oct 16 15:00: EXTRACT: WARNING - Aperture 107: Oct 16 15:00: Total variance weighted spectrum flux is 8863.589 Oct 16 15:00: Total unweighted spectrum flux is -452.6612 Oct 16 15:00: Variance spectrum bias factor ignored Oct 16 15:00: EXTRACT: WARNING - Aperture 108: Oct 16 15:00: Total variance weighted spectrum flux is 6662.292 Oct 16 15:00: Total unweighted spectrum flux is 785.7258 Oct 16 15:00: EXTRACT: Aperture 108 variance spectrum bias factor is 0.1179363 Oct 16 15:00: EXTRACT: WARNING - Aperture 109: Oct 16 15:00: Total variance weighted spectrum flux is 4970.707 Oct 16 15:00: Total unweighted spectrum flux is 1553.125 Oct 16 15:00: EXTRACT: Aperture 109 variance spectrum bias factor is 0.3124556 Oct 16 15:00: EXTRACT: WARNING - Aperture 110: Oct 16 15:00: Total variance weighted spectrum flux is 3004.277 Oct 16 15:00: Total unweighted spectrum flux is 769.6069 Oct 16 15:00: EXTRACT: Aperture 110 variance spectrum bias factor is 0.2561704 Oct 16 15:00: EXTRACT: WARNING - Aperture 111: Oct 16 15:00: Total variance weighted spectrum flux is 5687.367 Oct 16 15:00: Total unweighted spectrum flux is 335.6122 Oct 16 15:00: EXTRACT: Aperture 111 variance spectrum bias factor is 0.05901012 Oct 16 15:00: EXTRACT: WARNING - Aperture 112: Oct 16 15:00: Total variance weighted spectrum flux is 1843.151 Oct 16 15:00: Total unweighted spectrum flux is -51.74374 Oct 16 15:00: Variance spectrum bias factor ignored Oct 16 15:00: EXTRACT: WARNING - Aperture 113: Oct 16 15:00: Total variance weighted spectrum flux is 602.8033 Oct 16 15:00: Total unweighted spectrum flux is -369.4191 Oct 16 15:00: Variance spectrum bias factor ignored Oct 16 15:00: EXTRACT: WARNING - Aperture 114: Oct 16 15:00: Total variance weighted spectrum flux is 3164.27 Oct 16 15:00: Total unweighted spectrum flux is 812.1697 Oct 16 15:00: EXTRACT: Aperture 114 variance spectrum bias factor is 0.2566689 Oct 16 15:00: EXTRACT: WARNING - Aperture 115: Oct 16 15:00: Total variance weighted spectrum flux is 3016.597 Oct 16 15:00: Total unweighted spectrum flux is 349.0519 Oct 16 15:00: EXTRACT: Aperture 115 variance spectrum bias factor is 0.1157105 add EchelleThAr.0007.ec.fits,REFSPEC1 = EchelleThAr.0007.ec.fits EchelleThAr.0007.ec.fits updated add EchelleThAr.0008.ec.fits,REFSPEC1 = EchelleThAr.0008.ec.fits EchelleThAr.0008.ec.fits updated add EchelleThAr.0012.ec.fits,REFSPEC1 = EchelleThAr.0012.ec.fits EchelleThAr.0012.ec.fits updated add EchelleThAr.0016.ec.fits,REFSPEC1 = EchelleThAr.0016.ec.fits EchelleThAr.0016.ec.fits updated add EchelleThAr.0020.ec.fits,REFSPEC1 = EchelleThAr.0020.ec.fits EchelleThAr.0020.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 Flatfielding extracted arcs and object spectra... add EchelleThAr.0007.ec.fits,UTMIDDLE = 0 EchelleThAr.0007.ec.fits updated EchelleThAr.0007.ec.fits,UTMIDDLE: 0 -> 00:41:30.051057 EchelleThAr.0007.ec.fits updated add EchelleThAr.0008.ec.fits,UTMIDDLE = 0 EchelleThAr.0008.ec.fits updated EchelleThAr.0008.ec.fits,UTMIDDLE: 0 -> 00:44:21.613801 EchelleThAr.0008.ec.fits updated add EchelleThAr.0012.ec.fits,UTMIDDLE = 0 EchelleThAr.0012.ec.fits updated EchelleThAr.0012.ec.fits,UTMIDDLE: 0 -> 02:07:12.595781 EchelleThAr.0012.ec.fits updated add EchelleThAr.0016.ec.fits,UTMIDDLE = 0 EchelleThAr.0016.ec.fits updated EchelleThAr.0016.ec.fits,UTMIDDLE: 0 -> 03:15:14.281010 EchelleThAr.0016.ec.fits updated add EchelleThAr.0020.ec.fits,UTMIDDLE = 0 EchelleThAr.0020.ec.fits updated EchelleThAr.0020.ec.fits,UTMIDDLE: 0 -> 04:25:59.860256 EchelleThAr.0020.ec.fits updated add EchelleThAr.0024.ec.fits,UTMIDDLE = 0 EchelleThAr.0024.ec.fits updated EchelleThAr.0024.ec.fits,UTMIDDLE: 0 -> 05:40:04.240807 EchelleThAr.0024.ec.fits updated add EchelleThAr.0028.ec.fits,UTMIDDLE = 0 EchelleThAr.0028.ec.fits updated EchelleThAr.0028.ec.fits,UTMIDDLE: 0 -> 06:44:29.884762 EchelleThAr.0028.ec.fits updated add 141016.0009.ec.fits,UTMIDDLE = 0 141016.0009.ec.fits updated 141016.0009.ec.fits,UTMIDDLE: 0 -> 01:03:09.528747 141016.0009.ec.fits updated add 141016.0010.ec.fits,UTMIDDLE = 0 141016.0010.ec.fits updated 141016.0010.ec.fits,UTMIDDLE: 0 -> 01:23:14.680151 141016.0010.ec.fits updated add 141016.0011.ec.fits,UTMIDDLE = 0 141016.0011.ec.fits updated 141016.0011.ec.fits,UTMIDDLE: 0 -> 01:51:42.966705 141016.0011.ec.fits updated add 141016.0013.ec.fits,UTMIDDLE = 0 141016.0013.ec.fits updated 141016.0013.ec.fits,UTMIDDLE: 0 -> 02:17:49.936937 141016.0013.ec.fits updated add 141016.0014.ec.fits,UTMIDDLE = 0 141016.0014.ec.fits updated 141016.0014.ec.fits,UTMIDDLE: 0 -> 02:36:49.679880 141016.0014.ec.fits updated add 141016.0015.ec.fits,UTMIDDLE = 0 141016.0015.ec.fits updated 141016.0015.ec.fits,UTMIDDLE: 0 -> 02:59:43.997194 141016.0015.ec.fits updated add 141016.0017.ec.fits,UTMIDDLE = 0 141016.0017.ec.fits updated 141016.0017.ec.fits,UTMIDDLE: 0 -> 03:31:02.480215 141016.0017.ec.fits updated add 141016.0018.ec.fits,UTMIDDLE = 0 141016.0018.ec.fits updated 141016.0018.ec.fits,UTMIDDLE: 0 -> 03:53:30.619019 141016.0018.ec.fits updated add 141016.0019.ec.fits,UTMIDDLE = 0 141016.0019.ec.fits updated 141016.0019.ec.fits,UTMIDDLE: 0 -> 04:12:21.774029 141016.0019.ec.fits updated add 141016.0021.ec.fits,UTMIDDLE = 0 141016.0021.ec.fits updated 141016.0021.ec.fits,UTMIDDLE: 0 -> 04:37:07.976889 141016.0021.ec.fits updated add 141016.0022.ec.fits,UTMIDDLE = 0 141016.0022.ec.fits updated 141016.0022.ec.fits,UTMIDDLE: 0 -> 04:57:59.448022 141016.0022.ec.fits updated add 141016.0023.ec.fits,UTMIDDLE = 0 141016.0023.ec.fits updated 141016.0023.ec.fits,UTMIDDLE: 0 -> 05:24:24.325189 141016.0023.ec.fits updated add 141016.0025.ec.fits,UTMIDDLE = 0 141016.0025.ec.fits updated 141016.0025.ec.fits,UTMIDDLE: 0 -> 05:50:46.492895 141016.0025.ec.fits updated add 141016.0026.ec.fits,UTMIDDLE = 0 141016.0026.ec.fits updated 141016.0026.ec.fits,UTMIDDLE: 0 -> 06:13:10.974020 141016.0026.ec.fits updated add 141016.0027.ec.fits,UTMIDDLE = 0 141016.0027.ec.fits updated 141016.0027.ec.fits,UTMIDDLE: 0 -> 06:33:35.730878 141016.0027.ec.fits updated Setting Julian Date Keywords # Image jd hjd ljd # SETJD: Observatory parameters for Apache Point Observatory # timezone = 7 141016.0009.ec.fits 2456946.54386 2456946.54453 2456946 141016.0010.ec.fits 2456946.55781 2456946.55845 2456946 141016.0011.ec.fits 2456946.57758 2456946.57812 2456946 141016.0013.ec.fits 2456946.59572 2456946.59647 2456946 141016.0014.ec.fits 2456946.60891 2456946.61014 2456946 141016.0015.ec.fits 2456946.62481 2456946.62580 2456946 141016.0017.ec.fits 2456946.64656 2456946.64672 2456946 141016.0018.ec.fits 2456946.66216 2456946.66254 2456946 141016.0019.ec.fits 2456946.67525 2456946.67607 2456946 141016.0021.ec.fits 2456946.69245 2456946.69348 2456946 141016.0022.ec.fits 2456946.70694 2456946.70773 2456946 141016.0023.ec.fits 2456946.72528 2456946.72625 2456946 141016.0025.ec.fits 2456946.74359 2456946.74476 2456946 141016.0026.ec.fits 2456946.75915 2456946.75963 2456946 141016.0027.ec.fits 2456946.77333 2456946.77453 2456946 ECREIDENTIFY: NOAO/IRAF V2.16.1 jeanm12@tequila.nmsu.edu Thu 15:00:18 16-Oct-2014 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS EchelleThAr.0007.ec 1047/2055 1047/1047 1.07 -7.83 -1.4E-5 0.0149 EchelleThAr.0008.ec 1906/2055 1906/1906 1.14 -8.34 -1.5E-5 0.0107 EchelleThAr.0012.ec 1950/2055 1950/1950 1.39 -10.2 -1.8E-5 0.0107 EchelleThAr.0016.ec 1929/2055 1929/1929 1.11 -8.09 -1.4E-5 0.011 EchelleThAr.0020.ec 1940/2055 1940/1940 1.1 -8.05 -1.4E-5 0.0111 EchelleThAr.0024.ec 1944/2055 1944/1944 1.15 -8.46 -1.5E-5 0.0109 EchelleThAr.0028.ec 1916/2055 1916/1916 0.96 -7.03 -1.2E-5 0.0111 [141016.0009.ec] refspec1='EchelleThAr.0008.ec 0.7731002' [141016.0009.ec] refspec2='EchelleThAr.0012.ec 0.22689983' [141016.0010.ec] refspec1='EchelleThAr.0008.ec 0.53066289' [141016.0010.ec] refspec2='EchelleThAr.0012.ec 0.46933711' [141016.0011.ec] refspec1='EchelleThAr.0008.ec 0.18701115' [141016.0011.ec] refspec2='EchelleThAr.0012.ec 0.81298882' [141016.0013.ec] refspec1='EchelleThAr.0012.ec 0.84385341' [141016.0013.ec] refspec2='EchelleThAr.0016.ec 0.15614657' [141016.0014.ec] refspec1='EchelleThAr.0012.ec 0.56462002' [141016.0014.ec] refspec2='EchelleThAr.0016.ec 0.43537998' [141016.0015.ec] refspec1='EchelleThAr.0012.ec 0.2279166' [141016.0015.ec] refspec2='EchelleThAr.0016.ec 0.7720834' [141016.0017.ec] refspec1='EchelleThAr.0016.ec 0.77666199' [141016.0017.ec] refspec2='EchelleThAr.0020.ec 0.22333801' [141016.0018.ec] refspec1='EchelleThAr.0016.ec 0.45912257' [141016.0018.ec] refspec2='EchelleThAr.0020.ec 0.54087746' [141016.0019.ec] refspec1='EchelleThAr.0016.ec 0.19269131' [141016.0019.ec] refspec2='EchelleThAr.0020.ec 0.80730867' [141016.0021.ec] refspec1='EchelleThAr.0020.ec 0.8496716' [141016.0021.ec] refspec2='EchelleThAr.0024.ec 0.1503284' [141016.0022.ec] refspec1='EchelleThAr.0020.ec 0.56808656' [141016.0022.ec] refspec2='EchelleThAr.0024.ec 0.43191347' [141016.0023.ec] refspec1='EchelleThAr.0020.ec 0.21148406' [141016.0023.ec] refspec2='EchelleThAr.0024.ec 0.78851593' [141016.0025.ec] refspec1='EchelleThAr.0024.ec 0.8338564' [141016.0025.ec] refspec2='EchelleThAr.0028.ec 0.16614363' [141016.0026.ec] refspec1='EchelleThAr.0024.ec 0.48605376' [141016.0026.ec] refspec2='EchelleThAr.0028.ec 0.51394624' [141016.0027.ec] refspec1='EchelleThAr.0024.ec 0.16922249' [141016.0027.ec] refspec2='EchelleThAr.0028.ec 0.83077753' [EchelleThAr.0007.ec] refspec1='EchelleThAr.0007.ec' [EchelleThAr.0008.ec] refspec1='EchelleThAr.0008.ec' [EchelleThAr.0012.ec] refspec1='EchelleThAr.0012.ec' [EchelleThAr.0016.ec] refspec1='EchelleThAr.0016.ec' [EchelleThAr.0020.ec] refspec1='EchelleThAr.0020.ec' [EchelleThAr.0024.ec] refspec1='EchelleThAr.0024.ec' [EchelleThAr.0028.ec] refspec1='EchelleThAr.0028.ec' 141016.0009.ec.fits: REFSPEC1 = 'EchelleThAr.0008.ec 0.7731002' 141016.0009.ec.fits: REFSPEC2 = 'EchelleThAr.0012.ec 0.22689983' 141016.0009.ec.fits: ap = 1, w1 = 10811.87, w2 = 10583.75, dw = -0.13826, nw = 1651 141016.0009.ec.fits: ap = 2, w1 = 10611.67, w2 = 10387.77, dw = -0.1357, nw = 1651 141016.0009.ec.fits: ap = 3, w1 = 10418.75, w2 = 10198.92, dw = -0.13323, nw = 1651 141016.0009.ec.fits: ap = 4, w1 = 10232.72, w2 = 10016.82, dw = -0.13085, nw = 1651 141016.0009.ec.fits: ap = 5, w1 = 10053.22, w2 = 9841.1, dw = -0.12855, nw = 1651 141016.0009.ec.fits: ap = 6, w1 = 9879.9, w2 = 9671.443, dw = -0.12634, nw = 1651 141016.0009.ec.fits: ap = 7, w1 = 9712.46, w2 = 9507.536, dw = -0.1242, nw = 1651 141016.0009.ec.fits: ap = 8, w1 = 9550.601, w2 = 9349.093, dw = -0.12213, nw = 1651 141016.0009.ec.fits: ap = 9, w1 = 9394.048, w2 = 9195.845, dw = -0.12012, nw = 1651 141016.0009.ec.fits: ap = 10, w1 = 9242.545, w2 = 9047.54, dw = -0.11818, nw = 1651 141016.0009.ec.fits: ap = 11, w1 = 9095.851, w2 = 8903.944, dw = -0.11631, nw = 1651 141016.0009.ec.fits: ap = 12, w1 = 8953.741, w2 = 8764.834, dw = -0.11449, nw = 1651 141016.0009.ec.fits: ap = 13, w1 = 8816.004, w2 = 8630.005, dw = -0.11273, nw = 1651 141016.0009.ec.fits: ap = 14, w1 = 8682.441, w2 = 8499.262, dw = -0.11102, nw = 1651 141016.0009.ec.fits: ap = 15, w1 = 8552.863, w2 = 8372.42, dw = -0.10936, nw = 1651 141016.0009.ec.fits: ap = 16, w1 = 8427.097, w2 = 8249.31, dw = -0.10775, nw = 1651 141016.0009.ec.fits: ap = 17, w1 = 8304.976, w2 = 8129.767, dw = -0.10619, nw = 1651 141016.0009.ec.fits: ap = 18, w1 = 8186.344, w2 = 8013.641, dw = -0.10467, nw = 1651 141016.0009.ec.fits: ap = 19, w1 = 8071.054, w2 = 7900.786, dw = -0.10319, nw = 1651 141016.0009.ec.fits: ap = 20, w1 = 7958.966, w2 = 7791.065, dw = -0.10176, nw = 1651 141016.0009.ec.fits: ap = 21, w1 = 7849.949, w2 = 7684.351, dw = -0.10036, nw = 1651 141016.0009.ec.fits: ap = 22, w1 = 7743.879, w2 = 7580.52, dw = -0.09901, nw = 1651 141016.0009.ec.fits: ap = 23, w1 = 7640.636, w2 = 7479.458, dw = -0.09768, nw = 1651 141016.0009.ec.fits: ap = 24, w1 = 7540.111, w2 = 7381.056, dw = -0.0964, nw = 1651 141016.0009.ec.fits: ap = 25, w1 = 7442.197, w2 = 7285.21, dw = -0.09514, nw = 1651 141016.0009.ec.fits: ap = 26, w1 = 7346.793, w2 = 7191.821, dw = -0.09392, nw = 1651 141016.0009.ec.fits: ap = 27, w1 = 7253.805, w2 = 7100.797, dw = -0.09273, nw = 1651 141016.0009.ec.fits: ap = 28, w1 = 7163.141, w2 = 7012.048, dw = -0.09157, nw = 1651 141016.0009.ec.fits: ap = 29, w1 = 7074.716, w2 = 6925.49, dw = -0.09044, nw = 1651 141016.0009.ec.fits: ap = 30, w1 = 6988.448, w2 = 6841.044, dw = -0.08934, nw = 1651 141016.0009.ec.fits: ap = 31, w1 = 6904.258, w2 = 6758.633, dw = -0.08826, nw = 1651 141016.0009.ec.fits: ap = 32, w1 = 6822.073, w2 = 6678.183, dw = -0.08721, nw = 1651 141016.0009.ec.fits: ap = 33, w1 = 6741.822, w2 = 6599.627, dw = -0.08618, nw = 1651 141016.0009.ec.fits: ap = 34, w1 = 6663.438, w2 = 6522.898, dw = -0.08518, nw = 1651 141016.0009.ec.fits: ap = 35, w1 = 6586.855, w2 = 6447.932, dw = -0.0842, nw = 1651 141016.0009.ec.fits: ap = 36, w1 = 6512.013, w2 = 6374.671, dw = -0.08324, nw = 1651 141016.0009.ec.fits: ap = 37, w1 = 6438.852, w2 = 6303.055, dw = -0.0823, nw = 1651 141016.0009.ec.fits: ap = 38, w1 = 6367.318, w2 = 6233.031, dw = -0.08139, nw = 1651 141016.0009.ec.fits: ap = 39, w1 = 6297.356, w2 = 6164.547, dw = -0.08049, nw = 1651 141016.0009.ec.fits: ap = 40, w1 = 6228.915, w2 = 6097.551, dw = -0.07961, nw = 1651 141016.0009.ec.fits: ap = 41, w1 = 6161.945, w2 = 6031.995, dw = -0.07876, nw = 1651 141016.0009.ec.fits: ap = 42, w1 = 6096.401, w2 = 5967.835, dw = -0.07792, nw = 1651 141016.0009.ec.fits: ap = 43, w1 = 6032.237, w2 = 5905.026, dw = -0.0771, nw = 1651 141016.0009.ec.fits: ap = 44, w1 = 5969.409, w2 = 5843.525, dw = -0.07629, nw = 1651 141016.0009.ec.fits: ap = 45, w1 = 5907.878, w2 = 5783.292, dw = -0.07551, nw = 1651 141016.0009.ec.fits: ap = 46, w1 = 5847.601, w2 = 5724.288, dw = -0.07474, nw = 1651 141016.0009.ec.fits: ap = 47, w1 = 5788.543, w2 = 5666.477, dw = -0.07398, nw = 1651 141016.0009.ec.fits: ap = 48, w1 = 5730.666, w2 = 5609.822, dw = -0.07324, nw = 1651 141016.0009.ec.fits: ap = 49, w1 = 5673.935, w2 = 5554.289, dw = -0.07251, nw = 1651 141016.0009.ec.fits: ap = 50, w1 = 5618.317, w2 = 5499.845, dw = -0.0718, nw = 1651 141016.0009.ec.fits: ap = 51, w1 = 5563.778, w2 = 5446.458, dw = -0.0711, nw = 1651 141016.0009.ec.fits: ap = 52, w1 = 5510.289, w2 = 5394.097, dw = -0.07042, nw = 1651 141016.0009.ec.fits: ap = 53, w1 = 5457.818, w2 = 5342.735, dw = -0.06975, nw = 1651 141016.0009.ec.fits: ap = 54, w1 = 5406.338, w2 = 5292.341, dw = -0.06909, nw = 1651 141016.0009.ec.fits: ap = 55, w1 = 5355.82, w2 = 5242.889, dw = -0.06844, nw = 1651 141016.0009.ec.fits: ap = 56, w1 = 5306.237, w2 = 5194.354, dw = -0.06781, nw = 1651 141016.0009.ec.fits: ap = 57, w1 = 5257.564, w2 = 5146.709, dw = -0.06719, nw = 1651 141016.0009.ec.fits: ap = 58, w1 = 5209.777, w2 = 5099.93, dw = -0.06657, nw = 1651 141016.0009.ec.fits: ap = 59, w1 = 5162.85, w2 = 5053.994, dw = -0.06597, nw = 1651 141016.0009.ec.fits: ap = 60, w1 = 5116.761, w2 = 5008.879, dw = -0.06538, nw = 1651 141016.0009.ec.fits: ap = 61, w1 = 5071.489, w2 = 4964.562, dw = -0.0648, nw = 1651 141016.0009.ec.fits: ap = 62, w1 = 5027.01, w2 = 4921.023, dw = -0.06423, nw = 1651 141016.0009.ec.fits: ap = 63, w1 = 4983.305, w2 = 4878.241, dw = -0.06368, nw = 1651 141016.0009.ec.fits: ap = 64, w1 = 4940.354, w2 = 4836.197, dw = -0.06313, nw = 1651 141016.0009.ec.fits: ap = 65, w1 = 4898.137, w2 = 4794.871, dw = -0.06259, nw = 1651 141016.0009.ec.fits: ap = 66, w1 = 4856.635, w2 = 4754.246, dw = -0.06205, nw = 1651 141016.0009.ec.fits: ap = 67, w1 = 4815.831, w2 = 4714.304, dw = -0.06153, nw = 1651 141016.0009.ec.fits: ap = 68, w1 = 4775.707, w2 = 4675.028, dw = -0.06102, nw = 1651 141016.0009.ec.fits: ap = 69, w1 = 4736.246, w2 = 4636.401, dw = -0.06051, nw = 1651 141016.0009.ec.fits: ap = 70, w1 = 4697.432, w2 = 4598.408, dw = -0.06001, nw = 1651 141016.0009.ec.fits: ap = 71, w1 = 4659.249, w2 = 4561.032, dw = -0.05953, nw = 1651 141016.0009.ec.fits: ap = 72, w1 = 4621.683, w2 = 4524.26, dw = -0.05904, nw = 1651 141016.0009.ec.fits: ap = 73, w1 = 4584.717, w2 = 4488.075, dw = -0.05857, nw = 1651 141016.0009.ec.fits: ap = 74, w1 = 4548.337, w2 = 4452.466, dw = -0.0581, nw = 1651 141016.0009.ec.fits: ap = 75, w1 = 4512.531, w2 = 4417.417, dw = -0.05764, nw = 1651 141016.0009.ec.fits: ap = 76, w1 = 4477.284, w2 = 4382.916, dw = -0.05719, nw = 1651 141016.0009.ec.fits: ap = 77, w1 = 4442.584, w2 = 4348.95, dw = -0.05675, nw = 1651 141016.0009.ec.fits: ap = 78, w1 = 4408.417, w2 = 4315.506, dw = -0.05631, nw = 1651 141016.0009.ec.fits: ap = 79, w1 = 4374.772, w2 = 4282.574, dw = -0.05588, nw = 1651 141016.0009.ec.fits: ap = 80, w1 = 4341.636, w2 = 4250.14, dw = -0.05545, nw = 1651 141016.0009.ec.fits: ap = 81, w1 = 4308.999, w2 = 4218.194, dw = -0.05503, nw = 1651 141016.0009.ec.fits: ap = 82, w1 = 4276.848, w2 = 4186.726, dw = -0.05462, nw = 1651 141016.0009.ec.fits: ap = 83, w1 = 4245.174, w2 = 4155.723, dw = -0.05421, nw = 1651 141016.0009.ec.fits: ap = 84, w1 = 4213.966, w2 = 4125.177, dw = -0.05381, nw = 1651 141016.0009.ec.fits: ap = 85, w1 = 4183.213, w2 = 4095.076, dw = -0.05342, nw = 1651 141016.0009.ec.fits: ap = 86, w1 = 4152.905, w2 = 4065.412, dw = -0.05303, nw = 1651 141016.0009.ec.fits: ap = 87, w1 = 4123.034, w2 = 4036.175, dw = -0.05264, nw = 1651 141016.0009.ec.fits: ap = 88, w1 = 4093.589, w2 = 4007.356, dw = -0.05226, nw = 1651 141016.0009.ec.fits: ap = 89, w1 = 4064.561, w2 = 3978.946, dw = -0.05189, nw = 1651 141016.0009.ec.fits: ap = 90, w1 = 4035.942, w2 = 3950.936, dw = -0.05152, nw = 1651 141016.0009.ec.fits: ap = 91, w1 = 4007.723, w2 = 3923.317, dw = -0.05116, nw = 1651 141016.0009.ec.fits: ap = 92, w1 = 3979.896, w2 = 3896.083, dw = -0.0508, nw = 1651 141016.0009.ec.fits: ap = 93, w1 = 3952.453, w2 = 3869.224, dw = -0.05044, nw = 1651 141016.0009.ec.fits: ap = 94, w1 = 3925.385, w2 = 3842.734, dw = -0.05009, nw = 1651 141016.0009.ec.fits: ap = 95, w1 = 3898.686, w2 = 3816.604, dw = -0.04975, nw = 1651 141016.0009.ec.fits: ap = 96, w1 = 3872.346, w2 = 3790.827, dw = -0.04941, nw = 1651 141016.0009.ec.fits: ap = 97, w1 = 3846.36, w2 = 3765.396, dw = -0.04907, nw = 1651 141016.0009.ec.fits: ap = 98, w1 = 3820.721, w2 = 3740.305, dw = -0.04874, nw = 1651 141016.0009.ec.fits: ap = 99, w1 = 3795.42, w2 = 3715.546, dw = -0.04841, nw = 1651 141016.0009.ec.fits: ap = 100, w1 = 3770.453, w2 = 3691.113, dw = -0.04808, nw = 1651 141016.0009.ec.fits: ap = 101, w1 = 3745.811, w2 = 3666.999, dw = -0.04776, nw = 1651 141016.0009.ec.fits: ap = 102, w1 = 3721.489, w2 = 3643.199, dw = -0.04745, nw = 1651 141016.0009.ec.fits: ap = 103, w1 = 3697.48, w2 = 3619.706, dw = -0.04714, nw = 1651 141016.0009.ec.fits: ap = 104, w1 = 3673.779, w2 = 3596.514, dw = -0.04683, nw = 1651 141016.0009.ec.fits: ap = 105, w1 = 3650.38, w2 = 3573.618, dw = -0.04652, nw = 1651 141016.0009.ec.fits: ap = 106, w1 = 3627.276, w2 = 3551.012, dw = -0.04622, nw = 1651 141016.0009.ec.fits: ap = 107, w1 = 3604.463, w2 = 3528.691, dw = -0.04592, nw = 1651 141016.0009.ec.fits: ap = 108, w1 = 3581.934, w2 = 3506.648, dw = -0.04563, nw = 1651 141016.0009.ec.fits: ap = 109, w1 = 3559.685, w2 = 3484.88, dw = -0.04534, nw = 1651 141016.0009.ec.fits: ap = 110, w1 = 3537.71, w2 = 3463.38, dw = -0.04505, nw = 1651 141016.0009.ec.fits: ap = 111, w1 = 3516.004, w2 = 3442.144, dw = -0.04476, nw = 1651 141016.0009.ec.fits: ap = 112, w1 = 3494.562, w2 = 3421.168, dw = -0.04448, nw = 1651 141016.0009.ec.fits: ap = 113, w1 = 3473.38, w2 = 3400.446, dw = -0.0442, nw = 1651 141016.0009.ec.fits: ap = 114, w1 = 3452.453, w2 = 3379.973, dw = -0.04393, nw = 1651 141016.0009.ec.fits: ap = 115, w1 = 3431.776, w2 = 3359.746, dw = -0.04365, nw = 1651 141016.0010.ec.fits: REFSPEC1 = 'EchelleThAr.0008.ec 0.53066289' 141016.0010.ec.fits: REFSPEC2 = 'EchelleThAr.0012.ec 0.46933711' 141016.0010.ec.fits: ap = 1, w1 = 10811.9, w2 = 10583.75, dw = -0.13827, nw = 1651 141016.0010.ec.fits: ap = 2, w1 = 10611.7, w2 = 10387.77, dw = -0.13571, nw = 1651 141016.0010.ec.fits: ap = 3, w1 = 10418.77, w2 = 10198.92, dw = -0.13324, nw = 1651 141016.0010.ec.fits: ap = 4, w1 = 10232.74, w2 = 10016.82, dw = -0.13086, nw = 1651 141016.0010.ec.fits: ap = 5, w1 = 10053.23, w2 = 9841.104, dw = -0.12856, nw = 1651 141016.0010.ec.fits: ap = 6, w1 = 9879.918, w2 = 9671.448, dw = -0.12635, nw = 1651 141016.0010.ec.fits: ap = 7, w1 = 9712.476, w2 = 9507.542, dw = -0.1242, nw = 1651 141016.0010.ec.fits: ap = 8, w1 = 9550.615, w2 = 9349.099, dw = -0.12213, nw = 1651 141016.0010.ec.fits: ap = 9, w1 = 9394.062, w2 = 9195.851, dw = -0.12013, nw = 1651 141016.0010.ec.fits: ap = 10, w1 = 9242.557, w2 = 9047.547, dw = -0.11819, nw = 1651 141016.0010.ec.fits: ap = 11, w1 = 9095.863, w2 = 8903.95, dw = -0.11631, nw = 1651 141016.0010.ec.fits: ap = 12, w1 = 8953.752, w2 = 8764.841, dw = -0.11449, nw = 1651 141016.0010.ec.fits: ap = 13, w1 = 8816.014, w2 = 8630.011, dw = -0.11273, nw = 1651 141016.0010.ec.fits: ap = 14, w1 = 8682.45, w2 = 8499.268, dw = -0.11102, nw = 1651 141016.0010.ec.fits: ap = 15, w1 = 8552.872, w2 = 8372.427, dw = -0.10936, nw = 1651 141016.0010.ec.fits: ap = 16, w1 = 8427.106, w2 = 8249.316, dw = -0.10775, nw = 1651 141016.0010.ec.fits: ap = 17, w1 = 8304.984, w2 = 8129.774, dw = -0.10619, nw = 1651 141016.0010.ec.fits: ap = 18, w1 = 8186.352, w2 = 8013.647, dw = -0.10467, nw = 1651 141016.0010.ec.fits: ap = 19, w1 = 8071.062, w2 = 7900.792, dw = -0.10319, nw = 1651 141016.0010.ec.fits: ap = 20, w1 = 7958.974, w2 = 7791.071, dw = -0.10176, nw = 1651 141016.0010.ec.fits: ap = 21, w1 = 7849.957, w2 = 7684.356, dw = -0.10036, nw = 1651 141016.0010.ec.fits: ap = 22, w1 = 7743.886, w2 = 7580.526, dw = -0.09901, nw = 1651 141016.0010.ec.fits: ap = 23, w1 = 7640.644, w2 = 7479.464, dw = -0.09768, nw = 1651 141016.0010.ec.fits: ap = 24, w1 = 7540.118, w2 = 7381.061, dw = -0.0964, nw = 1651 141016.0010.ec.fits: ap = 25, w1 = 7442.204, w2 = 7285.215, dw = -0.09514, nw = 1651 141016.0010.ec.fits: ap = 26, w1 = 7346.8, w2 = 7191.826, dw = -0.09392, nw = 1651 141016.0010.ec.fits: ap = 27, w1 = 7253.812, w2 = 7100.801, dw = -0.09273, nw = 1651 141016.0010.ec.fits: ap = 28, w1 = 7163.148, w2 = 7012.052, dw = -0.09157, nw = 1651 141016.0010.ec.fits: ap = 29, w1 = 7074.723, w2 = 6925.495, dw = -0.09044, nw = 1651 141016.0010.ec.fits: ap = 30, w1 = 6988.455, w2 = 6841.048, dw = -0.08934, nw = 1651 141016.0010.ec.fits: ap = 31, w1 = 6904.266, w2 = 6758.637, dw = -0.08826, nw = 1651 141016.0010.ec.fits: ap = 32, w1 = 6822.081, w2 = 6678.187, dw = -0.08721, nw = 1651 141016.0010.ec.fits: ap = 33, w1 = 6741.829, w2 = 6599.631, dw = -0.08618, nw = 1651 141016.0010.ec.fits: ap = 34, w1 = 6663.445, w2 = 6522.901, dw = -0.08518, nw = 1651 141016.0010.ec.fits: ap = 35, w1 = 6586.862, w2 = 6447.936, dw = -0.0842, nw = 1651 141016.0010.ec.fits: ap = 36, w1 = 6512.02, w2 = 6374.674, dw = -0.08324, nw = 1651 141016.0010.ec.fits: ap = 37, w1 = 6438.859, w2 = 6303.058, dw = -0.0823, nw = 1651 141016.0010.ec.fits: ap = 38, w1 = 6367.325, w2 = 6233.034, dw = -0.08139, nw = 1651 141016.0010.ec.fits: ap = 39, w1 = 6297.363, w2 = 6164.55, dw = -0.08049, nw = 1651 141016.0010.ec.fits: ap = 40, w1 = 6228.922, w2 = 6097.554, dw = -0.07962, nw = 1651 141016.0010.ec.fits: ap = 41, w1 = 6161.952, w2 = 6031.998, dw = -0.07876, nw = 1651 141016.0010.ec.fits: ap = 42, w1 = 6096.408, w2 = 5967.838, dw = -0.07792, nw = 1651 141016.0010.ec.fits: ap = 43, w1 = 6032.244, w2 = 5905.029, dw = -0.0771, nw = 1651 141016.0010.ec.fits: ap = 44, w1 = 5969.416, w2 = 5843.528, dw = -0.0763, nw = 1651 141016.0010.ec.fits: ap = 45, w1 = 5907.884, w2 = 5783.295, dw = -0.07551, nw = 1651 141016.0010.ec.fits: ap = 46, w1 = 5847.608, w2 = 5724.292, dw = -0.07474, nw = 1651 141016.0010.ec.fits: ap = 47, w1 = 5788.55, w2 = 5666.48, dw = -0.07398, nw = 1651 141016.0010.ec.fits: ap = 48, w1 = 5730.672, w2 = 5609.825, dw = -0.07324, nw = 1651 141016.0010.ec.fits: ap = 49, w1 = 5673.941, w2 = 5554.292, dw = -0.07251, nw = 1651 141016.0010.ec.fits: ap = 50, w1 = 5618.323, w2 = 5499.848, dw = -0.0718, nw = 1651 141016.0010.ec.fits: ap = 51, w1 = 5563.784, w2 = 5446.461, dw = -0.07111, nw = 1651 141016.0010.ec.fits: ap = 52, w1 = 5510.295, w2 = 5394.101, dw = -0.07042, nw = 1651 141016.0010.ec.fits: ap = 53, w1 = 5457.824, w2 = 5342.738, dw = -0.06975, nw = 1651 141016.0010.ec.fits: ap = 54, w1 = 5406.343, w2 = 5292.345, dw = -0.06909, nw = 1651 141016.0010.ec.fits: ap = 55, w1 = 5355.825, w2 = 5242.893, dw = -0.06844, nw = 1651 141016.0010.ec.fits: ap = 56, w1 = 5306.242, w2 = 5194.358, dw = -0.06781, nw = 1651 141016.0010.ec.fits: ap = 57, w1 = 5257.569, w2 = 5146.713, dw = -0.06719, nw = 1651 141016.0010.ec.fits: ap = 58, w1 = 5209.781, w2 = 5099.934, dw = -0.06657, nw = 1651 141016.0010.ec.fits: ap = 59, w1 = 5162.855, w2 = 5053.998, dw = -0.06597, nw = 1651 141016.0010.ec.fits: ap = 60, w1 = 5116.766, w2 = 5008.883, dw = -0.06538, nw = 1651 141016.0010.ec.fits: ap = 61, w1 = 5071.493, w2 = 4964.566, dw = -0.0648, nw = 1651 141016.0010.ec.fits: ap = 62, w1 = 5027.014, w2 = 4921.027, dw = -0.06423, nw = 1651 141016.0010.ec.fits: ap = 63, w1 = 4983.309, w2 = 4878.246, dw = -0.06367, nw = 1651 141016.0010.ec.fits: ap = 64, w1 = 4940.358, w2 = 4836.201, dw = -0.06313, nw = 1651 141016.0010.ec.fits: ap = 65, w1 = 4898.141, w2 = 4794.876, dw = -0.06258, nw = 1651 141016.0010.ec.fits: ap = 66, w1 = 4856.639, w2 = 4754.251, dw = -0.06205, nw = 1651 141016.0010.ec.fits: ap = 67, w1 = 4815.835, w2 = 4714.31, dw = -0.06153, nw = 1651 141016.0010.ec.fits: ap = 68, w1 = 4775.711, w2 = 4675.033, dw = -0.06102, nw = 1651 141016.0010.ec.fits: ap = 69, w1 = 4736.25, w2 = 4636.407, dw = -0.06051, nw = 1651 141016.0010.ec.fits: ap = 70, w1 = 4697.436, w2 = 4598.413, dw = -0.06001, nw = 1651 141016.0010.ec.fits: ap = 71, w1 = 4659.253, w2 = 4561.037, dw = -0.05952, nw = 1651 141016.0010.ec.fits: ap = 72, w1 = 4621.686, w2 = 4524.265, dw = -0.05904, nw = 1651 141016.0010.ec.fits: ap = 73, w1 = 4584.72, w2 = 4488.08, dw = -0.05857, nw = 1651 141016.0010.ec.fits: ap = 74, w1 = 4548.341, w2 = 4452.471, dw = -0.0581, nw = 1651 141016.0010.ec.fits: ap = 75, w1 = 4512.535, w2 = 4417.422, dw = -0.05764, nw = 1651 141016.0010.ec.fits: ap = 76, w1 = 4477.288, w2 = 4382.921, dw = -0.05719, nw = 1651 141016.0010.ec.fits: ap = 77, w1 = 4442.588, w2 = 4348.954, dw = -0.05675, nw = 1651 141016.0010.ec.fits: ap = 78, w1 = 4408.421, w2 = 4315.511, dw = -0.05631, nw = 1651 141016.0010.ec.fits: ap = 79, w1 = 4374.776, w2 = 4282.578, dw = -0.05588, nw = 1651 141016.0010.ec.fits: ap = 80, w1 = 4341.641, w2 = 4250.144, dw = -0.05545, nw = 1651 141016.0010.ec.fits: ap = 81, w1 = 4309.004, w2 = 4218.198, dw = -0.05503, nw = 1651 141016.0010.ec.fits: ap = 82, w1 = 4276.854, w2 = 4186.729, dw = -0.05462, nw = 1651 141016.0010.ec.fits: ap = 83, w1 = 4245.181, w2 = 4155.726, dw = -0.05421, nw = 1651 141016.0010.ec.fits: ap = 84, w1 = 4213.973, w2 = 4125.179, dw = -0.05381, nw = 1651 141016.0010.ec.fits: ap = 85, w1 = 4183.22, w2 = 4095.078, dw = -0.05342, nw = 1651 141016.0010.ec.fits: ap = 86, w1 = 4152.913, w2 = 4065.414, dw = -0.05303, nw = 1651 141016.0010.ec.fits: ap = 87, w1 = 4123.042, w2 = 4036.176, dw = -0.05265, nw = 1651 141016.0010.ec.fits: ap = 88, w1 = 4093.598, w2 = 4007.356, dw = -0.05227, nw = 1651 141016.0010.ec.fits: ap = 89, w1 = 4064.571, w2 = 3978.945, dw = -0.05189, nw = 1651 141016.0010.ec.fits: ap = 90, w1 = 4035.953, w2 = 3950.934, dw = -0.05153, nw = 1651 141016.0010.ec.fits: ap = 91, w1 = 4007.735, w2 = 3923.315, dw = -0.05116, nw = 1651 141016.0010.ec.fits: ap = 92, w1 = 3979.909, w2 = 3896.08, dw = -0.05081, nw = 1651 141016.0010.ec.fits: ap = 93, w1 = 3952.467, w2 = 3869.22, dw = -0.05045, nw = 1651 141016.0010.ec.fits: ap = 94, w1 = 3925.4, w2 = 3842.729, dw = -0.0501, nw = 1651 141016.0010.ec.fits: ap = 95, w1 = 3898.702, w2 = 3816.598, dw = -0.04976, nw = 1651 141016.0010.ec.fits: ap = 96, w1 = 3872.364, w2 = 3790.819, dw = -0.04942, nw = 1651 141016.0010.ec.fits: ap = 97, w1 = 3846.379, w2 = 3765.388, dw = -0.04909, nw = 1651 141016.0010.ec.fits: ap = 98, w1 = 3820.741, w2 = 3740.295, dw = -0.04876, nw = 1651 141016.0010.ec.fits: ap = 99, w1 = 3795.442, w2 = 3715.534, dw = -0.04843, nw = 1651 141016.0010.ec.fits: ap = 100, w1 = 3770.476, w2 = 3691.1, dw = -0.04811, nw = 1651 141016.0010.ec.fits: ap = 101, w1 = 3745.836, w2 = 3666.985, dw = -0.04779, nw = 1651 141016.0010.ec.fits: ap = 102, w1 = 3721.515, w2 = 3643.183, dw = -0.04747, nw = 1651 141016.0010.ec.fits: ap = 103, w1 = 3697.509, w2 = 3619.688, dw = -0.04716, nw = 1651 141016.0010.ec.fits: ap = 104, w1 = 3673.81, w2 = 3596.495, dw = -0.04686, nw = 1651 141016.0010.ec.fits: ap = 105, w1 = 3650.412, w2 = 3573.597, dw = -0.04655, nw = 1651 141016.0010.ec.fits: ap = 106, w1 = 3627.311, w2 = 3550.989, dw = -0.04626, nw = 1651 141016.0010.ec.fits: ap = 107, w1 = 3604.499, w2 = 3528.665, dw = -0.04596, nw = 1651 141016.0010.ec.fits: ap = 108, w1 = 3581.973, w2 = 3506.62, dw = -0.04567, nw = 1651 141016.0010.ec.fits: ap = 109, w1 = 3559.726, w2 = 3484.849, dw = -0.04538, nw = 1651 141016.0010.ec.fits: ap = 110, w1 = 3537.754, w2 = 3463.347, dw = -0.04509, nw = 1651 141016.0010.ec.fits: ap = 111, w1 = 3516.051, w2 = 3442.109, dw = -0.04481, nw = 1651 141016.0010.ec.fits: ap = 112, w1 = 3494.612, w2 = 3421.13, dw = -0.04453, nw = 1651 141016.0010.ec.fits: ap = 113, w1 = 3473.433, w2 = 3400.405, dw = -0.04426, nw = 1651 141016.0010.ec.fits: ap = 114, w1 = 3452.509, w2 = 3379.93, dw = -0.04399, nw = 1651 141016.0010.ec.fits: ap = 115, w1 = 3431.834, w2 = 3359.7, dw = -0.04372, nw = 1651 141016.0011.ec.fits: REFSPEC1 = 'EchelleThAr.0008.ec 0.18701115' 141016.0011.ec.fits: REFSPEC2 = 'EchelleThAr.0012.ec 0.81298882' 141016.0011.ec.fits: ap = 1, w1 = 10811.94, w2 = 10583.75, dw = -0.1383, nw = 1651 141016.0011.ec.fits: ap = 2, w1 = 10611.73, w2 = 10387.78, dw = -0.13573, nw = 1651 141016.0011.ec.fits: ap = 3, w1 = 10418.81, w2 = 10198.93, dw = -0.13326, nw = 1651 141016.0011.ec.fits: ap = 4, w1 = 10232.77, w2 = 10016.82, dw = -0.13088, nw = 1651 141016.0011.ec.fits: ap = 5, w1 = 10053.26, w2 = 9841.11, dw = -0.12858, nw = 1651 141016.0011.ec.fits: ap = 6, w1 = 9879.943, w2 = 9671.455, dw = -0.12636, nw = 1651 141016.0011.ec.fits: ap = 7, w1 = 9712.499, w2 = 9507.55, dw = -0.12421, nw = 1651 141016.0011.ec.fits: ap = 8, w1 = 9550.636, w2 = 9349.108, dw = -0.12214, nw = 1651 141016.0011.ec.fits: ap = 9, w1 = 9394.081, w2 = 9195.86, dw = -0.12013, nw = 1651 141016.0011.ec.fits: ap = 10, w1 = 9242.575, w2 = 9047.556, dw = -0.11819, nw = 1651 141016.0011.ec.fits: ap = 11, w1 = 9095.879, w2 = 8903.96, dw = -0.11632, nw = 1651 141016.0011.ec.fits: ap = 12, w1 = 8953.768, w2 = 8764.85, dw = -0.1145, nw = 1651 141016.0011.ec.fits: ap = 13, w1 = 8816.029, w2 = 8630.021, dw = -0.11273, nw = 1651 141016.0011.ec.fits: ap = 14, w1 = 8682.464, w2 = 8499.278, dw = -0.11102, nw = 1651 141016.0011.ec.fits: ap = 15, w1 = 8552.885, w2 = 8372.436, dw = -0.10936, nw = 1651 141016.0011.ec.fits: ap = 16, w1 = 8427.118, w2 = 8249.326, dw = -0.10775, nw = 1651 141016.0011.ec.fits: ap = 17, w1 = 8304.996, w2 = 8129.783, dw = -0.10619, nw = 1651 141016.0011.ec.fits: ap = 18, w1 = 8186.364, w2 = 8013.656, dw = -0.10467, nw = 1651 141016.0011.ec.fits: ap = 19, w1 = 8071.073, w2 = 7900.801, dw = -0.1032, nw = 1651 141016.0011.ec.fits: ap = 20, w1 = 7958.985, w2 = 7791.08, dw = -0.10176, nw = 1651 141016.0011.ec.fits: ap = 21, w1 = 7849.968, w2 = 7684.365, dw = -0.10037, nw = 1651 141016.0011.ec.fits: ap = 22, w1 = 7743.897, w2 = 7580.534, dw = -0.09901, nw = 1651 141016.0011.ec.fits: ap = 23, w1 = 7640.654, w2 = 7479.472, dw = -0.09769, nw = 1651 141016.0011.ec.fits: ap = 24, w1 = 7540.129, w2 = 7381.069, dw = -0.0964, nw = 1651 141016.0011.ec.fits: ap = 25, w1 = 7442.214, w2 = 7285.222, dw = -0.09515, nw = 1651 141016.0011.ec.fits: ap = 26, w1 = 7346.811, w2 = 7191.833, dw = -0.09393, nw = 1651 141016.0011.ec.fits: ap = 27, w1 = 7253.822, w2 = 7100.808, dw = -0.09274, nw = 1651 141016.0011.ec.fits: ap = 28, w1 = 7163.159, w2 = 7012.059, dw = -0.09158, nw = 1651 141016.0011.ec.fits: ap = 29, w1 = 7074.734, w2 = 6925.501, dw = -0.09044, nw = 1651 141016.0011.ec.fits: ap = 30, w1 = 6988.465, w2 = 6841.054, dw = -0.08934, nw = 1651 141016.0011.ec.fits: ap = 31, w1 = 6904.276, w2 = 6758.642, dw = -0.08826, nw = 1651 141016.0011.ec.fits: ap = 32, w1 = 6822.091, w2 = 6678.192, dw = -0.08721, nw = 1651 141016.0011.ec.fits: ap = 33, w1 = 6741.84, w2 = 6599.636, dw = -0.08618, nw = 1651 141016.0011.ec.fits: ap = 34, w1 = 6663.455, w2 = 6522.906, dw = -0.08518, nw = 1651 141016.0011.ec.fits: ap = 35, w1 = 6586.872, w2 = 6447.94, dw = -0.0842, nw = 1651 141016.0011.ec.fits: ap = 36, w1 = 6512.03, w2 = 6374.678, dw = -0.08324, nw = 1651 141016.0011.ec.fits: ap = 37, w1 = 6438.87, w2 = 6303.063, dw = -0.08231, nw = 1651 141016.0011.ec.fits: ap = 38, w1 = 6367.335, w2 = 6233.039, dw = -0.08139, nw = 1651 141016.0011.ec.fits: ap = 39, w1 = 6297.373, w2 = 6164.554, dw = -0.0805, nw = 1651 141016.0011.ec.fits: ap = 40, w1 = 6228.932, w2 = 6097.558, dw = -0.07962, nw = 1651 141016.0011.ec.fits: ap = 41, w1 = 6161.962, w2 = 6032.003, dw = -0.07876, nw = 1651 141016.0011.ec.fits: ap = 42, w1 = 6096.418, w2 = 5967.842, dw = -0.07792, nw = 1651 141016.0011.ec.fits: ap = 43, w1 = 6032.253, w2 = 5905.033, dw = -0.0771, nw = 1651 141016.0011.ec.fits: ap = 44, w1 = 5969.426, w2 = 5843.532, dw = -0.0763, nw = 1651 141016.0011.ec.fits: ap = 45, w1 = 5907.894, w2 = 5783.299, dw = -0.07551, nw = 1651 141016.0011.ec.fits: ap = 46, w1 = 5847.617, w2 = 5724.296, dw = -0.07474, nw = 1651 141016.0011.ec.fits: ap = 47, w1 = 5788.559, w2 = 5666.484, dw = -0.07398, nw = 1651 141016.0011.ec.fits: ap = 48, w1 = 5730.681, w2 = 5609.83, dw = -0.07324, nw = 1651 141016.0011.ec.fits: ap = 49, w1 = 5673.95, w2 = 5554.297, dw = -0.07252, nw = 1651 141016.0011.ec.fits: ap = 50, w1 = 5618.331, w2 = 5499.853, dw = -0.07181, nw = 1651 141016.0011.ec.fits: ap = 51, w1 = 5563.793, w2 = 5446.466, dw = -0.07111, nw = 1651 141016.0011.ec.fits: ap = 52, w1 = 5510.303, w2 = 5394.106, dw = -0.07042, nw = 1651 141016.0011.ec.fits: ap = 53, w1 = 5457.832, w2 = 5342.743, dw = -0.06975, nw = 1651 141016.0011.ec.fits: ap = 54, w1 = 5406.351, w2 = 5292.35, dw = -0.06909, nw = 1651 141016.0011.ec.fits: ap = 55, w1 = 5355.832, w2 = 5242.899, dw = -0.06844, nw = 1651 141016.0011.ec.fits: ap = 56, w1 = 5306.25, w2 = 5194.363, dw = -0.06781, nw = 1651 141016.0011.ec.fits: ap = 57, w1 = 5257.576, w2 = 5146.718, dw = -0.06719, nw = 1651 141016.0011.ec.fits: ap = 58, w1 = 5209.788, w2 = 5099.94, dw = -0.06657, nw = 1651 141016.0011.ec.fits: ap = 59, w1 = 5162.861, w2 = 5054.004, dw = -0.06597, nw = 1651 141016.0011.ec.fits: ap = 60, w1 = 5116.772, w2 = 5008.889, dw = -0.06538, nw = 1651 141016.0011.ec.fits: ap = 61, w1 = 5071.499, w2 = 4964.573, dw = -0.0648, nw = 1651 141016.0011.ec.fits: ap = 62, w1 = 5027.02, w2 = 4921.034, dw = -0.06423, nw = 1651 141016.0011.ec.fits: ap = 63, w1 = 4983.315, w2 = 4878.252, dw = -0.06367, nw = 1651 141016.0011.ec.fits: ap = 64, w1 = 4940.364, w2 = 4836.208, dw = -0.06312, nw = 1651 141016.0011.ec.fits: ap = 65, w1 = 4898.146, w2 = 4794.883, dw = -0.06258, nw = 1651 141016.0011.ec.fits: ap = 66, w1 = 4856.644, w2 = 4754.258, dw = -0.06205, nw = 1651 141016.0011.ec.fits: ap = 67, w1 = 4815.84, w2 = 4714.317, dw = -0.06153, nw = 1651 141016.0011.ec.fits: ap = 68, w1 = 4775.716, w2 = 4675.041, dw = -0.06102, nw = 1651 141016.0011.ec.fits: ap = 69, w1 = 4736.255, w2 = 4636.414, dw = -0.06051, nw = 1651 141016.0011.ec.fits: ap = 70, w1 = 4697.441, w2 = 4598.42, dw = -0.06001, nw = 1651 141016.0011.ec.fits: ap = 71, w1 = 4659.258, w2 = 4561.045, dw = -0.05952, nw = 1651 141016.0011.ec.fits: ap = 72, w1 = 4621.692, w2 = 4524.272, dw = -0.05904, nw = 1651 141016.0011.ec.fits: ap = 73, w1 = 4584.726, w2 = 4488.088, dw = -0.05857, nw = 1651 141016.0011.ec.fits: ap = 74, w1 = 4548.347, w2 = 4452.478, dw = -0.0581, nw = 1651 141016.0011.ec.fits: ap = 75, w1 = 4512.541, w2 = 4417.429, dw = -0.05764, nw = 1651 141016.0011.ec.fits: ap = 76, w1 = 4477.294, w2 = 4382.927, dw = -0.05719, nw = 1651 141016.0011.ec.fits: ap = 77, w1 = 4442.594, w2 = 4348.961, dw = -0.05675, nw = 1651 141016.0011.ec.fits: ap = 78, w1 = 4408.428, w2 = 4315.517, dw = -0.05631, nw = 1651 141016.0011.ec.fits: ap = 79, w1 = 4374.783, w2 = 4282.583, dw = -0.05588, nw = 1651 141016.0011.ec.fits: ap = 80, w1 = 4341.648, w2 = 4250.149, dw = -0.05545, nw = 1651 141016.0011.ec.fits: ap = 81, w1 = 4309.012, w2 = 4218.203, dw = -0.05504, nw = 1651 141016.0011.ec.fits: ap = 82, w1 = 4276.863, w2 = 4186.733, dw = -0.05462, nw = 1651 141016.0011.ec.fits: ap = 83, w1 = 4245.189, w2 = 4155.73, dw = -0.05422, nw = 1651 141016.0011.ec.fits: ap = 84, w1 = 4213.982, w2 = 4125.182, dw = -0.05382, nw = 1651 141016.0011.ec.fits: ap = 85, w1 = 4183.23, w2 = 4095.08, dw = -0.05342, nw = 1651 141016.0011.ec.fits: ap = 86, w1 = 4152.924, w2 = 4065.415, dw = -0.05304, nw = 1651 141016.0011.ec.fits: ap = 87, w1 = 4123.054, w2 = 4036.177, dw = -0.05265, nw = 1651 141016.0011.ec.fits: ap = 88, w1 = 4093.611, w2 = 4007.356, dw = -0.05228, nw = 1651 141016.0011.ec.fits: ap = 89, w1 = 4064.585, w2 = 3978.944, dw = -0.0519, nw = 1651 141016.0011.ec.fits: ap = 90, w1 = 4035.969, w2 = 3950.932, dw = -0.05154, nw = 1651 141016.0011.ec.fits: ap = 91, w1 = 4007.752, w2 = 3923.312, dw = -0.05118, nw = 1651 141016.0011.ec.fits: ap = 92, w1 = 3979.927, w2 = 3896.075, dw = -0.05082, nw = 1651 141016.0011.ec.fits: ap = 93, w1 = 3952.486, w2 = 3869.214, dw = -0.05047, nw = 1651 141016.0011.ec.fits: ap = 94, w1 = 3925.421, w2 = 3842.721, dw = -0.05012, nw = 1651 141016.0011.ec.fits: ap = 95, w1 = 3898.724, w2 = 3816.588, dw = -0.04978, nw = 1651 141016.0011.ec.fits: ap = 96, w1 = 3872.388, w2 = 3790.809, dw = -0.04944, nw = 1651 141016.0011.ec.fits: ap = 97, w1 = 3846.405, w2 = 3765.375, dw = -0.04911, nw = 1651 141016.0011.ec.fits: ap = 98, w1 = 3820.769, w2 = 3740.28, dw = -0.04878, nw = 1651 141016.0011.ec.fits: ap = 99, w1 = 3795.472, w2 = 3715.518, dw = -0.04846, nw = 1651 141016.0011.ec.fits: ap = 100, w1 = 3770.508, w2 = 3691.081, dw = -0.04814, nw = 1651 141016.0011.ec.fits: ap = 101, w1 = 3745.871, w2 = 3666.964, dw = -0.04782, nw = 1651 141016.0011.ec.fits: ap = 102, w1 = 3721.553, w2 = 3643.16, dw = -0.04751, nw = 1651 141016.0011.ec.fits: ap = 103, w1 = 3697.549, w2 = 3619.663, dw = -0.0472, nw = 1651 141016.0011.ec.fits: ap = 104, w1 = 3673.853, w2 = 3596.467, dw = -0.0469, nw = 1651 141016.0011.ec.fits: ap = 105, w1 = 3650.458, w2 = 3573.566, dw = -0.0466, nw = 1651 141016.0011.ec.fits: ap = 106, w1 = 3627.359, w2 = 3550.955, dw = -0.04631, nw = 1651 141016.0011.ec.fits: ap = 107, w1 = 3604.551, w2 = 3528.628, dw = -0.04601, nw = 1651 141016.0011.ec.fits: ap = 108, w1 = 3582.029, w2 = 3506.58, dw = -0.04573, nw = 1651 141016.0011.ec.fits: ap = 109, w1 = 3559.785, w2 = 3484.806, dw = -0.04544, nw = 1651 141016.0011.ec.fits: ap = 110, w1 = 3537.817, w2 = 3463.301, dw = -0.04516, nw = 1651 141016.0011.ec.fits: ap = 111, w1 = 3516.117, w2 = 3442.059, dw = -0.04488, nw = 1651 141016.0011.ec.fits: ap = 112, w1 = 3494.683, w2 = 3421.076, dw = -0.04461, nw = 1651 141016.0011.ec.fits: ap = 113, w1 = 3473.508, w2 = 3400.348, dw = -0.04434, nw = 1651 141016.0011.ec.fits: ap = 114, w1 = 3452.588, w2 = 3379.868, dw = -0.04407, nw = 1651 141016.0011.ec.fits: ap = 115, w1 = 3431.918, w2 = 3359.634, dw = -0.04381, nw = 1651 141016.0013.ec.fits: REFSPEC1 = 'EchelleThAr.0012.ec 0.84385341' 141016.0013.ec.fits: REFSPEC2 = 'EchelleThAr.0016.ec 0.15614657' 141016.0013.ec.fits: ap = 1, w1 = 10811.95, w2 = 10583.75, dw = -0.1383, nw = 1651 141016.0013.ec.fits: ap = 2, w1 = 10611.74, w2 = 10387.78, dw = -0.13574, nw = 1651 141016.0013.ec.fits: ap = 3, w1 = 10418.81, w2 = 10198.93, dw = -0.13326, nw = 1651 141016.0013.ec.fits: ap = 4, w1 = 10232.78, w2 = 10016.82, dw = -0.13088, nw = 1651 141016.0013.ec.fits: ap = 5, w1 = 10053.27, w2 = 9841.11, dw = -0.12858, nw = 1651 141016.0013.ec.fits: ap = 6, w1 = 9879.948, w2 = 9671.454, dw = -0.12636, nw = 1651 141016.0013.ec.fits: ap = 7, w1 = 9712.503, w2 = 9507.549, dw = -0.12421, nw = 1651 141016.0013.ec.fits: ap = 8, w1 = 9550.64, w2 = 9349.107, dw = -0.12214, nw = 1651 141016.0013.ec.fits: ap = 9, w1 = 9394.084, w2 = 9195.859, dw = -0.12014, nw = 1651 141016.0013.ec.fits: ap = 10, w1 = 9242.579, w2 = 9047.556, dw = -0.1182, nw = 1651 141016.0013.ec.fits: ap = 11, w1 = 9095.883, w2 = 8903.959, dw = -0.11632, nw = 1651 141016.0013.ec.fits: ap = 12, w1 = 8953.771, w2 = 8764.849, dw = -0.1145, nw = 1651 141016.0013.ec.fits: ap = 13, w1 = 8816.031, w2 = 8630.02, dw = -0.11273, nw = 1651 141016.0013.ec.fits: ap = 14, w1 = 8682.466, w2 = 8499.276, dw = -0.11102, nw = 1651 141016.0013.ec.fits: ap = 15, w1 = 8552.887, w2 = 8372.435, dw = -0.10937, nw = 1651 141016.0013.ec.fits: ap = 16, w1 = 8427.12, w2 = 8249.324, dw = -0.10776, nw = 1651 141016.0013.ec.fits: ap = 17, w1 = 8304.998, w2 = 8129.781, dw = -0.10619, nw = 1651 141016.0013.ec.fits: ap = 18, w1 = 8186.366, w2 = 8013.655, dw = -0.10467, nw = 1651 141016.0013.ec.fits: ap = 19, w1 = 8071.075, w2 = 7900.799, dw = -0.1032, nw = 1651 141016.0013.ec.fits: ap = 20, w1 = 7958.987, w2 = 7791.078, dw = -0.10176, nw = 1651 141016.0013.ec.fits: ap = 21, w1 = 7849.969, w2 = 7684.363, dw = -0.10037, nw = 1651 141016.0013.ec.fits: ap = 22, w1 = 7743.898, w2 = 7580.532, dw = -0.09901, nw = 1651 141016.0013.ec.fits: ap = 23, w1 = 7640.656, w2 = 7479.469, dw = -0.09769, nw = 1651 141016.0013.ec.fits: ap = 24, w1 = 7540.131, w2 = 7381.067, dw = -0.0964, nw = 1651 141016.0013.ec.fits: ap = 25, w1 = 7442.216, w2 = 7285.22, dw = -0.09515, nw = 1651 141016.0013.ec.fits: ap = 26, w1 = 7346.812, w2 = 7191.831, dw = -0.09393, nw = 1651 141016.0013.ec.fits: ap = 27, w1 = 7253.824, w2 = 7100.806, dw = -0.09274, nw = 1651 141016.0013.ec.fits: ap = 28, w1 = 7163.16, w2 = 7012.056, dw = -0.09158, nw = 1651 141016.0013.ec.fits: ap = 29, w1 = 7074.735, w2 = 6925.498, dw = -0.09045, nw = 1651 141016.0013.ec.fits: ap = 30, w1 = 6988.467, w2 = 6841.052, dw = -0.08934, nw = 1651 141016.0013.ec.fits: ap = 31, w1 = 6904.278, w2 = 6758.64, dw = -0.08827, nw = 1651 141016.0013.ec.fits: ap = 32, w1 = 6822.093, w2 = 6678.19, dw = -0.08721, nw = 1651 141016.0013.ec.fits: ap = 33, w1 = 6741.841, w2 = 6599.633, dw = -0.08619, nw = 1651 141016.0013.ec.fits: ap = 34, w1 = 6663.457, w2 = 6522.904, dw = -0.08518, nw = 1651 141016.0013.ec.fits: ap = 35, w1 = 6586.874, w2 = 6447.938, dw = -0.0842, nw = 1651 141016.0013.ec.fits: ap = 36, w1 = 6512.032, w2 = 6374.676, dw = -0.08325, nw = 1651 141016.0013.ec.fits: ap = 37, w1 = 6438.871, w2 = 6303.061, dw = -0.08231, nw = 1651 141016.0013.ec.fits: ap = 38, w1 = 6367.337, w2 = 6233.037, dw = -0.08139, nw = 1651 141016.0013.ec.fits: ap = 39, w1 = 6297.374, w2 = 6164.552, dw = -0.0805, nw = 1651 141016.0013.ec.fits: ap = 40, w1 = 6228.933, w2 = 6097.556, dw = -0.07962, nw = 1651 141016.0013.ec.fits: ap = 41, w1 = 6161.964, w2 = 6032.001, dw = -0.07877, nw = 1651 141016.0013.ec.fits: ap = 42, w1 = 6096.419, w2 = 5967.84, dw = -0.07793, nw = 1651 141016.0013.ec.fits: ap = 43, w1 = 6032.255, w2 = 5905.031, dw = -0.07711, nw = 1651 141016.0013.ec.fits: ap = 44, w1 = 5969.427, w2 = 5843.53, dw = -0.0763, nw = 1651 141016.0013.ec.fits: ap = 45, w1 = 5907.895, w2 = 5783.297, dw = -0.07551, nw = 1651 141016.0013.ec.fits: ap = 46, w1 = 5847.618, w2 = 5724.294, dw = -0.07474, nw = 1651 141016.0013.ec.fits: ap = 47, w1 = 5788.56, w2 = 5666.483, dw = -0.07399, nw = 1651 141016.0013.ec.fits: ap = 48, w1 = 5730.682, w2 = 5609.828, dw = -0.07325, nw = 1651 141016.0013.ec.fits: ap = 49, w1 = 5673.951, w2 = 5554.295, dw = -0.07252, nw = 1651 141016.0013.ec.fits: ap = 50, w1 = 5618.332, w2 = 5499.851, dw = -0.07181, nw = 1651 141016.0013.ec.fits: ap = 51, w1 = 5563.793, w2 = 5446.464, dw = -0.07111, nw = 1651 141016.0013.ec.fits: ap = 52, w1 = 5510.303, w2 = 5394.104, dw = -0.07042, nw = 1651 141016.0013.ec.fits: ap = 53, w1 = 5457.832, w2 = 5342.742, dw = -0.06975, nw = 1651 141016.0013.ec.fits: ap = 54, w1 = 5406.352, w2 = 5292.349, dw = -0.06909, nw = 1651 141016.0013.ec.fits: ap = 55, w1 = 5355.833, w2 = 5242.897, dw = -0.06845, nw = 1651 141016.0013.ec.fits: ap = 56, w1 = 5306.25, w2 = 5194.362, dw = -0.06781, nw = 1651 141016.0013.ec.fits: ap = 57, w1 = 5257.577, w2 = 5146.717, dw = -0.06719, nw = 1651 141016.0013.ec.fits: ap = 58, w1 = 5209.789, w2 = 5099.939, dw = -0.06658, nw = 1651 141016.0013.ec.fits: ap = 59, w1 = 5162.862, w2 = 5054.003, dw = -0.06597, nw = 1651 141016.0013.ec.fits: ap = 60, w1 = 5116.773, w2 = 5008.888, dw = -0.06538, nw = 1651 141016.0013.ec.fits: ap = 61, w1 = 5071.499, w2 = 4964.572, dw = -0.0648, nw = 1651 141016.0013.ec.fits: ap = 62, w1 = 5027.021, w2 = 4921.033, dw = -0.06423, nw = 1651 141016.0013.ec.fits: ap = 63, w1 = 4983.315, w2 = 4878.251, dw = -0.06368, nw = 1651 141016.0013.ec.fits: ap = 64, w1 = 4940.364, w2 = 4836.208, dw = -0.06312, nw = 1651 141016.0013.ec.fits: ap = 65, w1 = 4898.146, w2 = 4794.882, dw = -0.06258, nw = 1651 141016.0013.ec.fits: ap = 66, w1 = 4856.644, w2 = 4754.258, dw = -0.06205, nw = 1651 141016.0013.ec.fits: ap = 67, w1 = 4815.84, w2 = 4714.316, dw = -0.06153, nw = 1651 141016.0013.ec.fits: ap = 68, w1 = 4775.716, w2 = 4675.04, dw = -0.06102, nw = 1651 141016.0013.ec.fits: ap = 69, w1 = 4736.255, w2 = 4636.413, dw = -0.06051, nw = 1651 141016.0013.ec.fits: ap = 70, w1 = 4697.442, w2 = 4598.42, dw = -0.06001, nw = 1651 141016.0013.ec.fits: ap = 71, w1 = 4659.259, w2 = 4561.044, dw = -0.05952, nw = 1651 141016.0013.ec.fits: ap = 72, w1 = 4621.692, w2 = 4524.271, dw = -0.05904, nw = 1651 141016.0013.ec.fits: ap = 73, w1 = 4584.727, w2 = 4488.087, dw = -0.05857, nw = 1651 141016.0013.ec.fits: ap = 74, w1 = 4548.348, w2 = 4452.477, dw = -0.0581, nw = 1651 141016.0013.ec.fits: ap = 75, w1 = 4512.542, w2 = 4417.428, dw = -0.05765, nw = 1651 141016.0013.ec.fits: ap = 76, w1 = 4477.295, w2 = 4382.926, dw = -0.05719, nw = 1651 141016.0013.ec.fits: ap = 77, w1 = 4442.596, w2 = 4348.959, dw = -0.05675, nw = 1651 141016.0013.ec.fits: ap = 78, w1 = 4408.43, w2 = 4315.515, dw = -0.05631, nw = 1651 141016.0013.ec.fits: ap = 79, w1 = 4374.785, w2 = 4282.582, dw = -0.05588, nw = 1651 141016.0013.ec.fits: ap = 80, w1 = 4341.651, w2 = 4250.148, dw = -0.05546, nw = 1651 141016.0013.ec.fits: ap = 81, w1 = 4309.015, w2 = 4218.201, dw = -0.05504, nw = 1651 141016.0013.ec.fits: ap = 82, w1 = 4276.866, w2 = 4186.731, dw = -0.05463, nw = 1651 141016.0013.ec.fits: ap = 83, w1 = 4245.193, w2 = 4155.728, dw = -0.05422, nw = 1651 141016.0013.ec.fits: ap = 84, w1 = 4213.986, w2 = 4125.18, dw = -0.05382, nw = 1651 141016.0013.ec.fits: ap = 85, w1 = 4183.235, w2 = 4095.078, dw = -0.05343, nw = 1651 141016.0013.ec.fits: ap = 86, w1 = 4152.93, w2 = 4065.413, dw = -0.05304, nw = 1651 141016.0013.ec.fits: ap = 87, w1 = 4123.06, w2 = 4036.174, dw = -0.05266, nw = 1651 141016.0013.ec.fits: ap = 88, w1 = 4093.618, w2 = 4007.353, dw = -0.05228, nw = 1651 141016.0013.ec.fits: ap = 89, w1 = 4064.593, w2 = 3978.941, dw = -0.05191, nw = 1651 141016.0013.ec.fits: ap = 90, w1 = 4035.976, w2 = 3950.928, dw = -0.05154, nw = 1651 141016.0013.ec.fits: ap = 91, w1 = 4007.761, w2 = 3923.308, dw = -0.05118, nw = 1651 141016.0013.ec.fits: ap = 92, w1 = 3979.937, w2 = 3896.071, dw = -0.05083, nw = 1651 141016.0013.ec.fits: ap = 93, w1 = 3952.497, w2 = 3869.21, dw = -0.05048, nw = 1651 141016.0013.ec.fits: ap = 94, w1 = 3925.434, w2 = 3842.717, dw = -0.05013, nw = 1651 141016.0013.ec.fits: ap = 95, w1 = 3898.737, w2 = 3816.583, dw = -0.04979, nw = 1651 141016.0013.ec.fits: ap = 96, w1 = 3872.402, w2 = 3790.803, dw = -0.04945, nw = 1651 141016.0013.ec.fits: ap = 97, w1 = 3846.42, w2 = 3765.369, dw = -0.04912, nw = 1651 141016.0013.ec.fits: ap = 98, w1 = 3820.785, w2 = 3740.274, dw = -0.04879, nw = 1651 141016.0013.ec.fits: ap = 99, w1 = 3795.49, w2 = 3715.511, dw = -0.04847, nw = 1651 141016.0013.ec.fits: ap = 100, w1 = 3770.527, w2 = 3691.074, dw = -0.04815, nw = 1651 141016.0013.ec.fits: ap = 101, w1 = 3745.891, w2 = 3666.956, dw = -0.04784, nw = 1651 141016.0013.ec.fits: ap = 102, w1 = 3721.575, w2 = 3643.152, dw = -0.04753, nw = 1651 141016.0013.ec.fits: ap = 103, w1 = 3697.572, w2 = 3619.654, dw = -0.04722, nw = 1651 141016.0013.ec.fits: ap = 104, w1 = 3673.877, w2 = 3596.457, dw = -0.04692, nw = 1651 141016.0013.ec.fits: ap = 105, w1 = 3650.484, w2 = 3573.556, dw = -0.04662, nw = 1651 141016.0013.ec.fits: ap = 106, w1 = 3627.388, w2 = 3550.944, dw = -0.04633, nw = 1651 141016.0013.ec.fits: ap = 107, w1 = 3604.581, w2 = 3528.617, dw = -0.04604, nw = 1651 141016.0013.ec.fits: ap = 108, w1 = 3582.06, w2 = 3506.568, dw = -0.04575, nw = 1651 141016.0013.ec.fits: ap = 109, w1 = 3559.819, w2 = 3484.794, dw = -0.04547, nw = 1651 141016.0013.ec.fits: ap = 110, w1 = 3537.852, w2 = 3463.287, dw = -0.04519, nw = 1651 141016.0013.ec.fits: ap = 111, w1 = 3516.155, w2 = 3442.045, dw = -0.04492, nw = 1651 141016.0013.ec.fits: ap = 112, w1 = 3494.723, w2 = 3421.061, dw = -0.04464, nw = 1651 141016.0013.ec.fits: ap = 113, w1 = 3473.55, w2 = 3400.332, dw = -0.04437, nw = 1651 141016.0013.ec.fits: ap = 114, w1 = 3452.632, w2 = 3379.852, dw = -0.04411, nw = 1651 141016.0013.ec.fits: ap = 115, w1 = 3431.965, w2 = 3359.617, dw = -0.04385, nw = 1651 141016.0014.ec.fits: REFSPEC1 = 'EchelleThAr.0012.ec 0.56462002' 141016.0014.ec.fits: REFSPEC2 = 'EchelleThAr.0016.ec 0.43537998' 141016.0014.ec.fits: ap = 1, w1 = 10811.93, w2 = 10583.75, dw = -0.13829, nw = 1651 141016.0014.ec.fits: ap = 2, w1 = 10611.72, w2 = 10387.77, dw = -0.13572, nw = 1651 141016.0014.ec.fits: ap = 3, w1 = 10418.79, w2 = 10198.92, dw = -0.13325, nw = 1651 141016.0014.ec.fits: ap = 4, w1 = 10232.76, w2 = 10016.82, dw = -0.13087, nw = 1651 141016.0014.ec.fits: ap = 5, w1 = 10053.25, w2 = 9841.103, dw = -0.12857, nw = 1651 141016.0014.ec.fits: ap = 6, w1 = 9879.932, w2 = 9671.446, dw = -0.12636, nw = 1651 141016.0014.ec.fits: ap = 7, w1 = 9712.489, w2 = 9507.54, dw = -0.12421, nw = 1651 141016.0014.ec.fits: ap = 8, w1 = 9550.627, w2 = 9349.098, dw = -0.12214, nw = 1651 141016.0014.ec.fits: ap = 9, w1 = 9394.072, w2 = 9195.849, dw = -0.12013, nw = 1651 141016.0014.ec.fits: ap = 10, w1 = 9242.567, w2 = 9047.545, dw = -0.1182, nw = 1651 141016.0014.ec.fits: ap = 11, w1 = 9095.872, w2 = 8903.948, dw = -0.11632, nw = 1651 141016.0014.ec.fits: ap = 12, w1 = 8953.76, w2 = 8764.838, dw = -0.1145, nw = 1651 141016.0014.ec.fits: ap = 13, w1 = 8816.021, w2 = 8630.008, dw = -0.11274, nw = 1651 141016.0014.ec.fits: ap = 14, w1 = 8682.456, w2 = 8499.264, dw = -0.11103, nw = 1651 141016.0014.ec.fits: ap = 15, w1 = 8552.878, w2 = 8372.423, dw = -0.10937, nw = 1651 141016.0014.ec.fits: ap = 16, w1 = 8427.111, w2 = 8249.312, dw = -0.10776, nw = 1651 141016.0014.ec.fits: ap = 17, w1 = 8304.99, w2 = 8129.769, dw = -0.10619, nw = 1651 141016.0014.ec.fits: ap = 18, w1 = 8186.358, w2 = 8013.643, dw = -0.10468, nw = 1651 141016.0014.ec.fits: ap = 19, w1 = 8071.067, w2 = 7900.787, dw = -0.1032, nw = 1651 141016.0014.ec.fits: ap = 20, w1 = 7958.979, w2 = 7791.066, dw = -0.10177, nw = 1651 141016.0014.ec.fits: ap = 21, w1 = 7849.962, w2 = 7684.351, dw = -0.10037, nw = 1651 141016.0014.ec.fits: ap = 22, w1 = 7743.891, w2 = 7580.52, dw = -0.09901, nw = 1651 141016.0014.ec.fits: ap = 23, w1 = 7640.649, w2 = 7479.458, dw = -0.09769, nw = 1651 141016.0014.ec.fits: ap = 24, w1 = 7540.124, w2 = 7381.056, dw = -0.0964, nw = 1651 141016.0014.ec.fits: ap = 25, w1 = 7442.209, w2 = 7285.209, dw = -0.09515, nw = 1651 141016.0014.ec.fits: ap = 26, w1 = 7346.806, w2 = 7191.82, dw = -0.09393, nw = 1651 141016.0014.ec.fits: ap = 27, w1 = 7253.817, w2 = 7100.795, dw = -0.09274, nw = 1651 141016.0014.ec.fits: ap = 28, w1 = 7163.154, w2 = 7012.046, dw = -0.09158, nw = 1651 141016.0014.ec.fits: ap = 29, w1 = 7074.729, w2 = 6925.489, dw = -0.09045, nw = 1651 141016.0014.ec.fits: ap = 30, w1 = 6988.46, w2 = 6841.042, dw = -0.08934, nw = 1651 141016.0014.ec.fits: ap = 31, w1 = 6904.271, w2 = 6758.63, dw = -0.08827, nw = 1651 141016.0014.ec.fits: ap = 32, w1 = 6822.086, w2 = 6678.181, dw = -0.08722, nw = 1651 141016.0014.ec.fits: ap = 33, w1 = 6741.835, w2 = 6599.624, dw = -0.08619, nw = 1651 141016.0014.ec.fits: ap = 34, w1 = 6663.45, w2 = 6522.895, dw = -0.08518, nw = 1651 141016.0014.ec.fits: ap = 35, w1 = 6586.867, w2 = 6447.929, dw = -0.0842, nw = 1651 141016.0014.ec.fits: ap = 36, w1 = 6512.025, w2 = 6374.668, dw = -0.08325, nw = 1651 141016.0014.ec.fits: ap = 37, w1 = 6438.864, w2 = 6303.052, dw = -0.08231, nw = 1651 141016.0014.ec.fits: ap = 38, w1 = 6367.33, w2 = 6233.029, dw = -0.08139, nw = 1651 141016.0014.ec.fits: ap = 39, w1 = 6297.368, w2 = 6164.544, dw = -0.0805, nw = 1651 141016.0014.ec.fits: ap = 40, w1 = 6228.926, w2 = 6097.548, dw = -0.07962, nw = 1651 141016.0014.ec.fits: ap = 41, w1 = 6161.957, w2 = 6031.993, dw = -0.07877, nw = 1651 141016.0014.ec.fits: ap = 42, w1 = 6096.412, w2 = 5967.833, dw = -0.07793, nw = 1651 141016.0014.ec.fits: ap = 43, w1 = 6032.248, w2 = 5905.023, dw = -0.07711, nw = 1651 141016.0014.ec.fits: ap = 44, w1 = 5969.42, w2 = 5843.523, dw = -0.0763, nw = 1651 141016.0014.ec.fits: ap = 45, w1 = 5907.888, w2 = 5783.29, dw = -0.07551, nw = 1651 141016.0014.ec.fits: ap = 46, w1 = 5847.612, w2 = 5724.287, dw = -0.07474, nw = 1651 141016.0014.ec.fits: ap = 47, w1 = 5788.553, w2 = 5666.475, dw = -0.07399, nw = 1651 141016.0014.ec.fits: ap = 48, w1 = 5730.675, w2 = 5609.821, dw = -0.07325, nw = 1651 141016.0014.ec.fits: ap = 49, w1 = 5673.944, w2 = 5554.288, dw = -0.07252, nw = 1651 141016.0014.ec.fits: ap = 50, w1 = 5618.325, w2 = 5499.844, dw = -0.07181, nw = 1651 141016.0014.ec.fits: ap = 51, w1 = 5563.787, w2 = 5446.457, dw = -0.07111, nw = 1651 141016.0014.ec.fits: ap = 52, w1 = 5510.297, w2 = 5394.097, dw = -0.07042, nw = 1651 141016.0014.ec.fits: ap = 53, w1 = 5457.826, w2 = 5342.734, dw = -0.06975, nw = 1651 141016.0014.ec.fits: ap = 54, w1 = 5406.345, w2 = 5292.341, dw = -0.06909, nw = 1651 141016.0014.ec.fits: ap = 55, w1 = 5355.826, w2 = 5242.89, dw = -0.06845, nw = 1651 141016.0014.ec.fits: ap = 56, w1 = 5306.244, w2 = 5194.354, dw = -0.06781, nw = 1651 141016.0014.ec.fits: ap = 57, w1 = 5257.57, w2 = 5146.71, dw = -0.06719, nw = 1651 141016.0014.ec.fits: ap = 58, w1 = 5209.782, w2 = 5099.931, dw = -0.06658, nw = 1651 141016.0014.ec.fits: ap = 59, w1 = 5162.855, w2 = 5053.996, dw = -0.06598, nw = 1651 141016.0014.ec.fits: ap = 60, w1 = 5116.767, w2 = 5008.881, dw = -0.06539, nw = 1651 141016.0014.ec.fits: ap = 61, w1 = 5071.494, w2 = 4964.564, dw = -0.06481, nw = 1651 141016.0014.ec.fits: ap = 62, w1 = 5027.015, w2 = 4921.025, dw = -0.06424, nw = 1651 141016.0014.ec.fits: ap = 63, w1 = 4983.31, w2 = 4878.243, dw = -0.06368, nw = 1651 141016.0014.ec.fits: ap = 64, w1 = 4940.358, w2 = 4836.199, dw = -0.06313, nw = 1651 141016.0014.ec.fits: ap = 65, w1 = 4898.141, w2 = 4794.874, dw = -0.06259, nw = 1651 141016.0014.ec.fits: ap = 66, w1 = 4856.639, w2 = 4754.249, dw = -0.06205, nw = 1651 141016.0014.ec.fits: ap = 67, w1 = 4815.835, w2 = 4714.308, dw = -0.06153, nw = 1651 141016.0014.ec.fits: ap = 68, w1 = 4775.711, w2 = 4675.031, dw = -0.06102, nw = 1651 141016.0014.ec.fits: ap = 69, w1 = 4736.251, w2 = 4636.405, dw = -0.06051, nw = 1651 141016.0014.ec.fits: ap = 70, w1 = 4697.437, w2 = 4598.411, dw = -0.06002, nw = 1651 141016.0014.ec.fits: ap = 71, w1 = 4659.255, w2 = 4561.035, dw = -0.05953, nw = 1651 141016.0014.ec.fits: ap = 72, w1 = 4621.688, w2 = 4524.263, dw = -0.05905, nw = 1651 141016.0014.ec.fits: ap = 73, w1 = 4584.723, w2 = 4488.078, dw = -0.05857, nw = 1651 141016.0014.ec.fits: ap = 74, w1 = 4548.344, w2 = 4452.468, dw = -0.05811, nw = 1651 141016.0014.ec.fits: ap = 75, w1 = 4512.538, w2 = 4417.419, dw = -0.05765, nw = 1651 141016.0014.ec.fits: ap = 76, w1 = 4477.292, w2 = 4382.918, dw = -0.0572, nw = 1651 141016.0014.ec.fits: ap = 77, w1 = 4442.593, w2 = 4348.951, dw = -0.05675, nw = 1651 141016.0014.ec.fits: ap = 78, w1 = 4408.427, w2 = 4315.507, dw = -0.05631, nw = 1651 141016.0014.ec.fits: ap = 79, w1 = 4374.783, w2 = 4282.574, dw = -0.05588, nw = 1651 141016.0014.ec.fits: ap = 80, w1 = 4341.649, w2 = 4250.14, dw = -0.05546, nw = 1651 141016.0014.ec.fits: ap = 81, w1 = 4309.013, w2 = 4218.194, dw = -0.05504, nw = 1651 141016.0014.ec.fits: ap = 82, w1 = 4276.864, w2 = 4186.724, dw = -0.05463, nw = 1651 141016.0014.ec.fits: ap = 83, w1 = 4245.192, w2 = 4155.721, dw = -0.05422, nw = 1651 141016.0014.ec.fits: ap = 84, w1 = 4213.985, w2 = 4125.173, dw = -0.05383, nw = 1651 141016.0014.ec.fits: ap = 85, w1 = 4183.234, w2 = 4095.072, dw = -0.05343, nw = 1651 141016.0014.ec.fits: ap = 86, w1 = 4152.929, w2 = 4065.407, dw = -0.05304, nw = 1651 141016.0014.ec.fits: ap = 87, w1 = 4123.06, w2 = 4036.169, dw = -0.05266, nw = 1651 141016.0014.ec.fits: ap = 88, w1 = 4093.617, w2 = 4007.348, dw = -0.05228, nw = 1651 141016.0014.ec.fits: ap = 89, w1 = 4064.593, w2 = 3978.936, dw = -0.05191, nw = 1651 141016.0014.ec.fits: ap = 90, w1 = 4035.976, w2 = 3950.924, dw = -0.05155, nw = 1651 141016.0014.ec.fits: ap = 91, w1 = 4007.761, w2 = 3923.305, dw = -0.05119, nw = 1651 141016.0014.ec.fits: ap = 92, w1 = 3979.937, w2 = 3896.069, dw = -0.05083, nw = 1651 141016.0014.ec.fits: ap = 93, w1 = 3952.498, w2 = 3869.208, dw = -0.05048, nw = 1651 141016.0014.ec.fits: ap = 94, w1 = 3925.434, w2 = 3842.716, dw = -0.05013, nw = 1651 141016.0014.ec.fits: ap = 95, w1 = 3898.738, w2 = 3816.583, dw = -0.04979, nw = 1651 141016.0014.ec.fits: ap = 96, w1 = 3872.403, w2 = 3790.804, dw = -0.04945, nw = 1651 141016.0014.ec.fits: ap = 97, w1 = 3846.422, w2 = 3765.371, dw = -0.04912, nw = 1651 141016.0014.ec.fits: ap = 98, w1 = 3820.787, w2 = 3740.277, dw = -0.04879, nw = 1651 141016.0014.ec.fits: ap = 99, w1 = 3795.491, w2 = 3715.515, dw = -0.04847, nw = 1651 141016.0014.ec.fits: ap = 100, w1 = 3770.529, w2 = 3691.079, dw = -0.04815, nw = 1651 141016.0014.ec.fits: ap = 101, w1 = 3745.893, w2 = 3666.963, dw = -0.04784, nw = 1651 141016.0014.ec.fits: ap = 102, w1 = 3721.577, w2 = 3643.159, dw = -0.04753, nw = 1651 141016.0014.ec.fits: ap = 103, w1 = 3697.574, w2 = 3619.663, dw = -0.04722, nw = 1651 141016.0014.ec.fits: ap = 104, w1 = 3673.88, w2 = 3596.468, dw = -0.04692, nw = 1651 141016.0014.ec.fits: ap = 105, w1 = 3650.487, w2 = 3573.568, dw = -0.04662, nw = 1651 141016.0014.ec.fits: ap = 106, w1 = 3627.39, w2 = 3550.958, dw = -0.04632, nw = 1651 141016.0014.ec.fits: ap = 107, w1 = 3604.584, w2 = 3528.632, dw = -0.04603, nw = 1651 141016.0014.ec.fits: ap = 108, w1 = 3582.063, w2 = 3506.586, dw = -0.04574, nw = 1651 141016.0014.ec.fits: ap = 109, w1 = 3559.822, w2 = 3484.813, dw = -0.04546, nw = 1651 141016.0014.ec.fits: ap = 110, w1 = 3537.855, w2 = 3463.308, dw = -0.04518, nw = 1651 141016.0014.ec.fits: ap = 111, w1 = 3516.158, w2 = 3442.068, dw = -0.0449, nw = 1651 141016.0014.ec.fits: ap = 112, w1 = 3494.725, w2 = 3421.087, dw = -0.04463, nw = 1651 141016.0014.ec.fits: ap = 113, w1 = 3473.553, w2 = 3400.359, dw = -0.04436, nw = 1651 141016.0014.ec.fits: ap = 114, w1 = 3452.635, w2 = 3379.882, dw = -0.04409, nw = 1651 141016.0014.ec.fits: ap = 115, w1 = 3431.968, w2 = 3359.649, dw = -0.04383, nw = 1651 141016.0015.ec.fits: REFSPEC1 = 'EchelleThAr.0012.ec 0.2279166' 141016.0015.ec.fits: REFSPEC2 = 'EchelleThAr.0016.ec 0.7720834' 141016.0015.ec.fits: ap = 1, w1 = 10811.9, w2 = 10583.75, dw = -0.13827, nw = 1651 141016.0015.ec.fits: ap = 2, w1 = 10611.7, w2 = 10387.77, dw = -0.13571, nw = 1651 141016.0015.ec.fits: ap = 3, w1 = 10418.77, w2 = 10198.92, dw = -0.13324, nw = 1651 141016.0015.ec.fits: ap = 4, w1 = 10232.74, w2 = 10016.81, dw = -0.13086, nw = 1651 141016.0015.ec.fits: ap = 5, w1 = 10053.23, w2 = 9841.095, dw = -0.12857, nw = 1651 141016.0015.ec.fits: ap = 6, w1 = 9879.914, w2 = 9671.437, dw = -0.12635, nw = 1651 141016.0015.ec.fits: ap = 7, w1 = 9712.472, w2 = 9507.53, dw = -0.12421, nw = 1651 141016.0015.ec.fits: ap = 8, w1 = 9550.611, w2 = 9349.086, dw = -0.12214, nw = 1651 141016.0015.ec.fits: ap = 9, w1 = 9394.057, w2 = 9195.837, dw = -0.12013, nw = 1651 141016.0015.ec.fits: ap = 10, w1 = 9242.553, w2 = 9047.532, dw = -0.11819, nw = 1651 141016.0015.ec.fits: ap = 11, w1 = 9095.858, w2 = 8903.934, dw = -0.11632, nw = 1651 141016.0015.ec.fits: ap = 12, w1 = 8953.748, w2 = 8764.824, dw = -0.1145, nw = 1651 141016.0015.ec.fits: ap = 13, w1 = 8816.01, w2 = 8629.994, dw = -0.11274, nw = 1651 141016.0015.ec.fits: ap = 14, w1 = 8682.445, w2 = 8499.25, dw = -0.11103, nw = 1651 141016.0015.ec.fits: ap = 15, w1 = 8552.868, w2 = 8372.409, dw = -0.10937, nw = 1651 141016.0015.ec.fits: ap = 16, w1 = 8427.101, w2 = 8249.298, dw = -0.10776, nw = 1651 141016.0015.ec.fits: ap = 17, w1 = 8304.98, w2 = 8129.755, dw = -0.1062, nw = 1651 141016.0015.ec.fits: ap = 18, w1 = 8186.349, w2 = 8013.629, dw = -0.10468, nw = 1651 141016.0015.ec.fits: ap = 19, w1 = 8071.058, w2 = 7900.773, dw = -0.1032, nw = 1651 141016.0015.ec.fits: ap = 20, w1 = 7958.97, w2 = 7791.052, dw = -0.10177, nw = 1651 141016.0015.ec.fits: ap = 21, w1 = 7849.953, w2 = 7684.337, dw = -0.10037, nw = 1651 141016.0015.ec.fits: ap = 22, w1 = 7743.883, w2 = 7580.507, dw = -0.09902, nw = 1651 141016.0015.ec.fits: ap = 23, w1 = 7640.641, w2 = 7479.445, dw = -0.09769, nw = 1651 141016.0015.ec.fits: ap = 24, w1 = 7540.115, w2 = 7381.043, dw = -0.09641, nw = 1651 141016.0015.ec.fits: ap = 25, w1 = 7442.201, w2 = 7285.196, dw = -0.09515, nw = 1651 141016.0015.ec.fits: ap = 26, w1 = 7346.798, w2 = 7191.807, dw = -0.09393, nw = 1651 141016.0015.ec.fits: ap = 27, w1 = 7253.809, w2 = 7100.783, dw = -0.09274, nw = 1651 141016.0015.ec.fits: ap = 28, w1 = 7163.146, w2 = 7012.034, dw = -0.09158, nw = 1651 141016.0015.ec.fits: ap = 29, w1 = 7074.721, w2 = 6925.477, dw = -0.09045, nw = 1651 141016.0015.ec.fits: ap = 30, w1 = 6988.452, w2 = 6841.03, dw = -0.08935, nw = 1651 141016.0015.ec.fits: ap = 31, w1 = 6904.263, w2 = 6758.619, dw = -0.08827, nw = 1651 141016.0015.ec.fits: ap = 32, w1 = 6822.078, w2 = 6678.17, dw = -0.08722, nw = 1651 141016.0015.ec.fits: ap = 33, w1 = 6741.827, w2 = 6599.614, dw = -0.08619, nw = 1651 141016.0015.ec.fits: ap = 34, w1 = 6663.442, w2 = 6522.884, dw = -0.08519, nw = 1651 141016.0015.ec.fits: ap = 35, w1 = 6586.859, w2 = 6447.919, dw = -0.08421, nw = 1651 141016.0015.ec.fits: ap = 36, w1 = 6512.017, w2 = 6374.658, dw = -0.08325, nw = 1651 141016.0015.ec.fits: ap = 37, w1 = 6438.856, w2 = 6303.042, dw = -0.08231, nw = 1651 141016.0015.ec.fits: ap = 38, w1 = 6367.322, w2 = 6233.019, dw = -0.0814, nw = 1651 141016.0015.ec.fits: ap = 39, w1 = 6297.359, w2 = 6164.534, dw = -0.0805, nw = 1651 141016.0015.ec.fits: ap = 40, w1 = 6228.918, w2 = 6097.538, dw = -0.07962, nw = 1651 141016.0015.ec.fits: ap = 41, w1 = 6161.949, w2 = 6031.983, dw = -0.07877, nw = 1651 141016.0015.ec.fits: ap = 42, w1 = 6096.404, w2 = 5967.823, dw = -0.07793, nw = 1651 141016.0015.ec.fits: ap = 43, w1 = 6032.24, w2 = 5905.014, dw = -0.07711, nw = 1651 141016.0015.ec.fits: ap = 44, w1 = 5969.412, w2 = 5843.514, dw = -0.0763, nw = 1651 141016.0015.ec.fits: ap = 45, w1 = 5907.88, w2 = 5783.281, dw = -0.07551, nw = 1651 141016.0015.ec.fits: ap = 46, w1 = 5847.603, w2 = 5724.278, dw = -0.07474, nw = 1651 141016.0015.ec.fits: ap = 47, w1 = 5788.545, w2 = 5666.467, dw = -0.07399, nw = 1651 141016.0015.ec.fits: ap = 48, w1 = 5730.667, w2 = 5609.812, dw = -0.07325, nw = 1651 141016.0015.ec.fits: ap = 49, w1 = 5673.936, w2 = 5554.279, dw = -0.07252, nw = 1651 141016.0015.ec.fits: ap = 50, w1 = 5618.317, w2 = 5499.835, dw = -0.07181, nw = 1651 141016.0015.ec.fits: ap = 51, w1 = 5563.779, w2 = 5446.448, dw = -0.07111, nw = 1651 141016.0015.ec.fits: ap = 52, w1 = 5510.289, w2 = 5394.088, dw = -0.07042, nw = 1651 141016.0015.ec.fits: ap = 53, w1 = 5457.818, w2 = 5342.726, dw = -0.06975, nw = 1651 141016.0015.ec.fits: ap = 54, w1 = 5406.337, w2 = 5292.332, dw = -0.06909, nw = 1651 141016.0015.ec.fits: ap = 55, w1 = 5355.819, w2 = 5242.881, dw = -0.06845, nw = 1651 141016.0015.ec.fits: ap = 56, w1 = 5306.236, w2 = 5194.345, dw = -0.06781, nw = 1651 141016.0015.ec.fits: ap = 57, w1 = 5257.563, w2 = 5146.7, dw = -0.06719, nw = 1651 141016.0015.ec.fits: ap = 58, w1 = 5209.775, w2 = 5099.922, dw = -0.06658, nw = 1651 141016.0015.ec.fits: ap = 59, w1 = 5162.848, w2 = 5053.986, dw = -0.06598, nw = 1651 141016.0015.ec.fits: ap = 60, w1 = 5116.759, w2 = 5008.871, dw = -0.06539, nw = 1651 141016.0015.ec.fits: ap = 61, w1 = 5071.486, w2 = 4964.554, dw = -0.06481, nw = 1651 141016.0015.ec.fits: ap = 62, w1 = 5027.008, w2 = 4921.015, dw = -0.06424, nw = 1651 141016.0015.ec.fits: ap = 63, w1 = 4983.303, w2 = 4878.234, dw = -0.06368, nw = 1651 141016.0015.ec.fits: ap = 64, w1 = 4940.352, w2 = 4836.19, dw = -0.06313, nw = 1651 141016.0015.ec.fits: ap = 65, w1 = 4898.134, w2 = 4794.864, dw = -0.06259, nw = 1651 141016.0015.ec.fits: ap = 66, w1 = 4856.633, w2 = 4754.239, dw = -0.06206, nw = 1651 141016.0015.ec.fits: ap = 67, w1 = 4815.829, w2 = 4714.297, dw = -0.06153, nw = 1651 141016.0015.ec.fits: ap = 68, w1 = 4775.706, w2 = 4675.021, dw = -0.06102, nw = 1651 141016.0015.ec.fits: ap = 69, w1 = 4736.245, w2 = 4636.394, dw = -0.06052, nw = 1651 141016.0015.ec.fits: ap = 70, w1 = 4697.432, w2 = 4598.401, dw = -0.06002, nw = 1651 141016.0015.ec.fits: ap = 71, w1 = 4659.249, w2 = 4561.025, dw = -0.05953, nw = 1651 141016.0015.ec.fits: ap = 72, w1 = 4621.683, w2 = 4524.252, dw = -0.05905, nw = 1651 141016.0015.ec.fits: ap = 73, w1 = 4584.718, w2 = 4488.068, dw = -0.05858, nw = 1651 141016.0015.ec.fits: ap = 74, w1 = 4548.34, w2 = 4452.458, dw = -0.05811, nw = 1651 141016.0015.ec.fits: ap = 75, w1 = 4512.534, w2 = 4417.409, dw = -0.05765, nw = 1651 141016.0015.ec.fits: ap = 76, w1 = 4477.288, w2 = 4382.908, dw = -0.0572, nw = 1651 141016.0015.ec.fits: ap = 77, w1 = 4442.589, w2 = 4348.941, dw = -0.05676, nw = 1651 141016.0015.ec.fits: ap = 78, w1 = 4408.423, w2 = 4315.498, dw = -0.05632, nw = 1651 141016.0015.ec.fits: ap = 79, w1 = 4374.78, w2 = 4282.565, dw = -0.05589, nw = 1651 141016.0015.ec.fits: ap = 80, w1 = 4341.646, w2 = 4250.131, dw = -0.05546, nw = 1651 141016.0015.ec.fits: ap = 81, w1 = 4309.01, w2 = 4218.185, dw = -0.05505, nw = 1651 141016.0015.ec.fits: ap = 82, w1 = 4276.862, w2 = 4186.715, dw = -0.05463, nw = 1651 141016.0015.ec.fits: ap = 83, w1 = 4245.189, w2 = 4155.712, dw = -0.05423, nw = 1651 141016.0015.ec.fits: ap = 84, w1 = 4213.983, w2 = 4125.165, dw = -0.05383, nw = 1651 141016.0015.ec.fits: ap = 85, w1 = 4183.232, w2 = 4095.064, dw = -0.05344, nw = 1651 141016.0015.ec.fits: ap = 86, w1 = 4152.927, w2 = 4065.4, dw = -0.05305, nw = 1651 141016.0015.ec.fits: ap = 87, w1 = 4123.059, w2 = 4036.162, dw = -0.05266, nw = 1651 141016.0015.ec.fits: ap = 88, w1 = 4093.616, w2 = 4007.342, dw = -0.05229, nw = 1651 141016.0015.ec.fits: ap = 89, w1 = 4064.592, w2 = 3978.931, dw = -0.05192, nw = 1651 141016.0015.ec.fits: ap = 90, w1 = 4035.976, w2 = 3950.92, dw = -0.05155, nw = 1651 141016.0015.ec.fits: ap = 91, w1 = 4007.761, w2 = 3923.301, dw = -0.05119, nw = 1651 141016.0015.ec.fits: ap = 92, w1 = 3979.938, w2 = 3896.065, dw = -0.05083, nw = 1651 141016.0015.ec.fits: ap = 93, w1 = 3952.498, w2 = 3869.206, dw = -0.05048, nw = 1651 141016.0015.ec.fits: ap = 94, w1 = 3925.435, w2 = 3842.714, dw = -0.05013, nw = 1651 141016.0015.ec.fits: ap = 95, w1 = 3898.739, w2 = 3816.583, dw = -0.04979, nw = 1651 141016.0015.ec.fits: ap = 96, w1 = 3872.404, w2 = 3790.805, dw = -0.04945, nw = 1651 141016.0015.ec.fits: ap = 97, w1 = 3846.423, w2 = 3765.373, dw = -0.04912, nw = 1651 141016.0015.ec.fits: ap = 98, w1 = 3820.788, w2 = 3740.28, dw = -0.04879, nw = 1651 141016.0015.ec.fits: ap = 99, w1 = 3795.493, w2 = 3715.52, dw = -0.04847, nw = 1651 141016.0015.ec.fits: ap = 100, w1 = 3770.531, w2 = 3691.085, dw = -0.04815, nw = 1651 141016.0015.ec.fits: ap = 101, w1 = 3745.895, w2 = 3666.97, dw = -0.04783, nw = 1651 141016.0015.ec.fits: ap = 102, w1 = 3721.579, w2 = 3643.168, dw = -0.04752, nw = 1651 141016.0015.ec.fits: ap = 103, w1 = 3697.577, w2 = 3619.674, dw = -0.04721, nw = 1651 141016.0015.ec.fits: ap = 104, w1 = 3673.882, w2 = 3596.48, dw = -0.04691, nw = 1651 141016.0015.ec.fits: ap = 105, w1 = 3650.49, w2 = 3573.582, dw = -0.04661, nw = 1651 141016.0015.ec.fits: ap = 106, w1 = 3627.393, w2 = 3550.974, dw = -0.04631, nw = 1651 141016.0015.ec.fits: ap = 107, w1 = 3604.587, w2 = 3528.651, dw = -0.04602, nw = 1651 141016.0015.ec.fits: ap = 108, w1 = 3582.066, w2 = 3506.606, dw = -0.04573, nw = 1651 141016.0015.ec.fits: ap = 109, w1 = 3559.825, w2 = 3484.836, dw = -0.04545, nw = 1651 141016.0015.ec.fits: ap = 110, w1 = 3537.858, w2 = 3463.334, dw = -0.04517, nw = 1651 141016.0015.ec.fits: ap = 111, w1 = 3516.161, w2 = 3442.096, dw = -0.04489, nw = 1651 141016.0015.ec.fits: ap = 112, w1 = 3494.729, w2 = 3421.117, dw = -0.04461, nw = 1651 141016.0015.ec.fits: ap = 113, w1 = 3473.556, w2 = 3400.392, dw = -0.04434, nw = 1651 141016.0015.ec.fits: ap = 114, w1 = 3452.639, w2 = 3379.918, dw = -0.04407, nw = 1651 141016.0015.ec.fits: ap = 115, w1 = 3431.971, w2 = 3359.688, dw = -0.04381, nw = 1651 141016.0017.ec.fits: REFSPEC1 = 'EchelleThAr.0016.ec 0.77666199' 141016.0017.ec.fits: REFSPEC2 = 'EchelleThAr.0020.ec 0.22333801' 141016.0017.ec.fits: ap = 1, w1 = 10811.87, w2 = 10583.74, dw = -0.13826, nw = 1651 141016.0017.ec.fits: ap = 2, w1 = 10611.67, w2 = 10387.76, dw = -0.1357, nw = 1651 141016.0017.ec.fits: ap = 3, w1 = 10418.75, w2 = 10198.91, dw = -0.13324, nw = 1651 141016.0017.ec.fits: ap = 4, w1 = 10232.72, w2 = 10016.8, dw = -0.13086, nw = 1651 141016.0017.ec.fits: ap = 5, w1 = 10053.21, w2 = 9841.086, dw = -0.12856, nw = 1651 141016.0017.ec.fits: ap = 6, w1 = 9879.899, w2 = 9671.427, dw = -0.12635, nw = 1651 141016.0017.ec.fits: ap = 7, w1 = 9712.458, w2 = 9507.52, dw = -0.12421, nw = 1651 141016.0017.ec.fits: ap = 8, w1 = 9550.599, w2 = 9349.076, dw = -0.12214, nw = 1651 141016.0017.ec.fits: ap = 9, w1 = 9394.046, w2 = 9195.827, dw = -0.12013, nw = 1651 141016.0017.ec.fits: ap = 10, w1 = 9242.542, w2 = 9047.521, dw = -0.11819, nw = 1651 141016.0017.ec.fits: ap = 11, w1 = 9095.849, w2 = 8903.923, dw = -0.11632, nw = 1651 141016.0017.ec.fits: ap = 12, w1 = 8953.74, w2 = 8764.814, dw = -0.1145, nw = 1651 141016.0017.ec.fits: ap = 13, w1 = 8816.002, w2 = 8629.984, dw = -0.11274, nw = 1651 141016.0017.ec.fits: ap = 14, w1 = 8682.438, w2 = 8499.24, dw = -0.11103, nw = 1651 141016.0017.ec.fits: ap = 15, w1 = 8552.862, w2 = 8372.399, dw = -0.10937, nw = 1651 141016.0017.ec.fits: ap = 16, w1 = 8427.096, w2 = 8249.288, dw = -0.10776, nw = 1651 141016.0017.ec.fits: ap = 17, w1 = 8304.975, w2 = 8129.746, dw = -0.1062, nw = 1651 141016.0017.ec.fits: ap = 18, w1 = 8186.343, w2 = 8013.619, dw = -0.10468, nw = 1651 141016.0017.ec.fits: ap = 19, w1 = 8071.053, w2 = 7900.763, dw = -0.10321, nw = 1651 141016.0017.ec.fits: ap = 20, w1 = 7958.965, w2 = 7791.043, dw = -0.10177, nw = 1651 141016.0017.ec.fits: ap = 21, w1 = 7849.948, w2 = 7684.328, dw = -0.10038, nw = 1651 141016.0017.ec.fits: ap = 22, w1 = 7743.878, w2 = 7580.497, dw = -0.09902, nw = 1651 141016.0017.ec.fits: ap = 23, w1 = 7640.636, w2 = 7479.436, dw = -0.0977, nw = 1651 141016.0017.ec.fits: ap = 24, w1 = 7540.111, w2 = 7381.033, dw = -0.09641, nw = 1651 141016.0017.ec.fits: ap = 25, w1 = 7442.196, w2 = 7285.186, dw = -0.09516, nw = 1651 141016.0017.ec.fits: ap = 26, w1 = 7346.792, w2 = 7191.798, dw = -0.09394, nw = 1651 141016.0017.ec.fits: ap = 27, w1 = 7253.804, w2 = 7100.774, dw = -0.09275, nw = 1651 141016.0017.ec.fits: ap = 28, w1 = 7163.14, w2 = 7012.025, dw = -0.09159, nw = 1651 141016.0017.ec.fits: ap = 29, w1 = 7074.715, w2 = 6925.468, dw = -0.09045, nw = 1651 141016.0017.ec.fits: ap = 30, w1 = 6988.447, w2 = 6841.022, dw = -0.08935, nw = 1651 141016.0017.ec.fits: ap = 31, w1 = 6904.257, w2 = 6758.61, dw = -0.08827, nw = 1651 141016.0017.ec.fits: ap = 32, w1 = 6822.072, w2 = 6678.161, dw = -0.08722, nw = 1651 141016.0017.ec.fits: ap = 33, w1 = 6741.821, w2 = 6599.605, dw = -0.08619, nw = 1651 141016.0017.ec.fits: ap = 34, w1 = 6663.436, w2 = 6522.876, dw = -0.08519, nw = 1651 141016.0017.ec.fits: ap = 35, w1 = 6586.853, w2 = 6447.911, dw = -0.08421, nw = 1651 141016.0017.ec.fits: ap = 36, w1 = 6512.011, w2 = 6374.649, dw = -0.08325, nw = 1651 141016.0017.ec.fits: ap = 37, w1 = 6438.851, w2 = 6303.034, dw = -0.08231, nw = 1651 141016.0017.ec.fits: ap = 38, w1 = 6367.316, w2 = 6233.011, dw = -0.0814, nw = 1651 141016.0017.ec.fits: ap = 39, w1 = 6297.354, w2 = 6164.526, dw = -0.0805, nw = 1651 141016.0017.ec.fits: ap = 40, w1 = 6228.912, w2 = 6097.531, dw = -0.07963, nw = 1651 141016.0017.ec.fits: ap = 41, w1 = 6161.943, w2 = 6031.976, dw = -0.07877, nw = 1651 141016.0017.ec.fits: ap = 42, w1 = 6096.399, w2 = 5967.816, dw = -0.07793, nw = 1651 141016.0017.ec.fits: ap = 43, w1 = 6032.234, w2 = 5905.007, dw = -0.07711, nw = 1651 141016.0017.ec.fits: ap = 44, w1 = 5969.406, w2 = 5843.506, dw = -0.0763, nw = 1651 141016.0017.ec.fits: ap = 45, w1 = 5907.874, w2 = 5783.274, dw = -0.07552, nw = 1651 141016.0017.ec.fits: ap = 46, w1 = 5847.598, w2 = 5724.271, dw = -0.07474, nw = 1651 141016.0017.ec.fits: ap = 47, w1 = 5788.539, w2 = 5666.46, dw = -0.07399, nw = 1651 141016.0017.ec.fits: ap = 48, w1 = 5730.662, w2 = 5609.805, dw = -0.07325, nw = 1651 141016.0017.ec.fits: ap = 49, w1 = 5673.931, w2 = 5554.272, dw = -0.07252, nw = 1651 141016.0017.ec.fits: ap = 50, w1 = 5618.312, w2 = 5499.828, dw = -0.07181, nw = 1651 141016.0017.ec.fits: ap = 51, w1 = 5563.774, w2 = 5446.441, dw = -0.07111, nw = 1651 141016.0017.ec.fits: ap = 52, w1 = 5510.284, w2 = 5394.081, dw = -0.07043, nw = 1651 141016.0017.ec.fits: ap = 53, w1 = 5457.813, w2 = 5342.719, dw = -0.06975, nw = 1651 141016.0017.ec.fits: ap = 54, w1 = 5406.332, w2 = 5292.325, dw = -0.0691, nw = 1651 141016.0017.ec.fits: ap = 55, w1 = 5355.814, w2 = 5242.874, dw = -0.06845, nw = 1651 141016.0017.ec.fits: ap = 56, w1 = 5306.231, w2 = 5194.338, dw = -0.06781, nw = 1651 141016.0017.ec.fits: ap = 57, w1 = 5257.558, w2 = 5146.694, dw = -0.06719, nw = 1651 141016.0017.ec.fits: ap = 58, w1 = 5209.771, w2 = 5099.915, dw = -0.06658, nw = 1651 141016.0017.ec.fits: ap = 59, w1 = 5162.844, w2 = 5053.979, dw = -0.06598, nw = 1651 141016.0017.ec.fits: ap = 60, w1 = 5116.755, w2 = 5008.864, dw = -0.06539, nw = 1651 141016.0017.ec.fits: ap = 61, w1 = 5071.483, w2 = 4964.548, dw = -0.06481, nw = 1651 141016.0017.ec.fits: ap = 62, w1 = 5027.004, w2 = 4921.008, dw = -0.06424, nw = 1651 141016.0017.ec.fits: ap = 63, w1 = 4983.299, w2 = 4878.227, dw = -0.06368, nw = 1651 141016.0017.ec.fits: ap = 64, w1 = 4940.348, w2 = 4836.183, dw = -0.06313, nw = 1651 141016.0017.ec.fits: ap = 65, w1 = 4898.131, w2 = 4794.857, dw = -0.06259, nw = 1651 141016.0017.ec.fits: ap = 66, w1 = 4856.631, w2 = 4754.233, dw = -0.06206, nw = 1651 141016.0017.ec.fits: ap = 67, w1 = 4815.827, w2 = 4714.291, dw = -0.06154, nw = 1651 141016.0017.ec.fits: ap = 68, w1 = 4775.703, w2 = 4675.015, dw = -0.06102, nw = 1651 141016.0017.ec.fits: ap = 69, w1 = 4736.243, w2 = 4636.388, dw = -0.06052, nw = 1651 141016.0017.ec.fits: ap = 70, w1 = 4697.43, w2 = 4598.395, dw = -0.06002, nw = 1651 141016.0017.ec.fits: ap = 71, w1 = 4659.248, w2 = 4561.019, dw = -0.05953, nw = 1651 141016.0017.ec.fits: ap = 72, w1 = 4621.681, w2 = 4524.246, dw = -0.05905, nw = 1651 141016.0017.ec.fits: ap = 73, w1 = 4584.716, w2 = 4488.062, dw = -0.05858, nw = 1651 141016.0017.ec.fits: ap = 74, w1 = 4548.338, w2 = 4452.452, dw = -0.05811, nw = 1651 141016.0017.ec.fits: ap = 75, w1 = 4512.532, w2 = 4417.403, dw = -0.05765, nw = 1651 141016.0017.ec.fits: ap = 76, w1 = 4477.287, w2 = 4382.902, dw = -0.0572, nw = 1651 141016.0017.ec.fits: ap = 77, w1 = 4442.587, w2 = 4348.936, dw = -0.05676, nw = 1651 141016.0017.ec.fits: ap = 78, w1 = 4408.422, w2 = 4315.492, dw = -0.05632, nw = 1651 141016.0017.ec.fits: ap = 79, w1 = 4374.778, w2 = 4282.559, dw = -0.05589, nw = 1651 141016.0017.ec.fits: ap = 80, w1 = 4341.644, w2 = 4250.125, dw = -0.05547, nw = 1651 141016.0017.ec.fits: ap = 81, w1 = 4309.008, w2 = 4218.179, dw = -0.05505, nw = 1651 141016.0017.ec.fits: ap = 82, w1 = 4276.859, w2 = 4186.71, dw = -0.05464, nw = 1651 141016.0017.ec.fits: ap = 83, w1 = 4245.187, w2 = 4155.707, dw = -0.05423, nw = 1651 141016.0017.ec.fits: ap = 84, w1 = 4213.981, w2 = 4125.16, dw = -0.05383, nw = 1651 141016.0017.ec.fits: ap = 85, w1 = 4183.23, w2 = 4095.059, dw = -0.05344, nw = 1651 141016.0017.ec.fits: ap = 86, w1 = 4152.924, w2 = 4065.395, dw = -0.05305, nw = 1651 141016.0017.ec.fits: ap = 87, w1 = 4123.055, w2 = 4036.157, dw = -0.05267, nw = 1651 141016.0017.ec.fits: ap = 88, w1 = 4093.613, w2 = 4007.338, dw = -0.05229, nw = 1651 141016.0017.ec.fits: ap = 89, w1 = 4064.588, w2 = 3978.927, dw = -0.05192, nw = 1651 141016.0017.ec.fits: ap = 90, w1 = 4035.972, w2 = 3950.916, dw = -0.05155, nw = 1651 141016.0017.ec.fits: ap = 91, w1 = 4007.756, w2 = 3923.297, dw = -0.05119, nw = 1651 141016.0017.ec.fits: ap = 92, w1 = 3979.932, w2 = 3896.062, dw = -0.05083, nw = 1651 141016.0017.ec.fits: ap = 93, w1 = 3952.491, w2 = 3869.203, dw = -0.05048, nw = 1651 141016.0017.ec.fits: ap = 94, w1 = 3925.427, w2 = 3842.711, dw = -0.05013, nw = 1651 141016.0017.ec.fits: ap = 95, w1 = 3898.731, w2 = 3816.58, dw = -0.04979, nw = 1651 141016.0017.ec.fits: ap = 96, w1 = 3872.395, w2 = 3790.803, dw = -0.04945, nw = 1651 141016.0017.ec.fits: ap = 97, w1 = 3846.413, w2 = 3765.371, dw = -0.04912, nw = 1651 141016.0017.ec.fits: ap = 98, w1 = 3820.778, w2 = 3740.279, dw = -0.04879, nw = 1651 141016.0017.ec.fits: ap = 99, w1 = 3795.482, w2 = 3715.519, dw = -0.04846, nw = 1651 141016.0017.ec.fits: ap = 100, w1 = 3770.517, w2 = 3691.084, dw = -0.04814, nw = 1651 141016.0017.ec.fits: ap = 101, w1 = 3745.88, w2 = 3666.969, dw = -0.04782, nw = 1651 141016.0017.ec.fits: ap = 102, w1 = 3721.563, w2 = 3643.168, dw = -0.04751, nw = 1651 141016.0017.ec.fits: ap = 103, w1 = 3697.56, w2 = 3619.674, dw = -0.0472, nw = 1651 141016.0017.ec.fits: ap = 104, w1 = 3673.864, w2 = 3596.481, dw = -0.0469, nw = 1651 141016.0017.ec.fits: ap = 105, w1 = 3650.47, w2 = 3573.584, dw = -0.0466, nw = 1651 141016.0017.ec.fits: ap = 106, w1 = 3627.372, w2 = 3550.977, dw = -0.0463, nw = 1651 141016.0017.ec.fits: ap = 107, w1 = 3604.565, w2 = 3528.654, dw = -0.04601, nw = 1651 141016.0017.ec.fits: ap = 108, w1 = 3582.042, w2 = 3506.61, dw = -0.04572, nw = 1651 141016.0017.ec.fits: ap = 109, w1 = 3559.799, w2 = 3484.84, dw = -0.04543, nw = 1651 141016.0017.ec.fits: ap = 110, w1 = 3537.831, w2 = 3463.339, dw = -0.04515, nw = 1651 141016.0017.ec.fits: ap = 111, w1 = 3516.132, w2 = 3442.102, dw = -0.04487, nw = 1651 141016.0017.ec.fits: ap = 112, w1 = 3494.698, w2 = 3421.124, dw = -0.04459, nw = 1651 141016.0017.ec.fits: ap = 113, w1 = 3473.523, w2 = 3400.401, dw = -0.04432, nw = 1651 141016.0017.ec.fits: ap = 114, w1 = 3452.602, w2 = 3379.926, dw = -0.04405, nw = 1651 141016.0017.ec.fits: ap = 115, w1 = 3431.933, w2 = 3359.697, dw = -0.04378, nw = 1651 141016.0018.ec.fits: REFSPEC1 = 'EchelleThAr.0016.ec 0.45912257' 141016.0018.ec.fits: REFSPEC2 = 'EchelleThAr.0020.ec 0.54087746' 141016.0018.ec.fits: ap = 1, w1 = 10811.86, w2 = 10583.73, dw = -0.13826, nw = 1651 141016.0018.ec.fits: ap = 2, w1 = 10611.66, w2 = 10387.75, dw = -0.1357, nw = 1651 141016.0018.ec.fits: ap = 3, w1 = 10418.74, w2 = 10198.9, dw = -0.13324, nw = 1651 141016.0018.ec.fits: ap = 4, w1 = 10232.71, w2 = 10016.8, dw = -0.13086, nw = 1651 141016.0018.ec.fits: ap = 5, w1 = 10053.21, w2 = 9841.081, dw = -0.12856, nw = 1651 141016.0018.ec.fits: ap = 6, w1 = 9879.896, w2 = 9671.423, dw = -0.12635, nw = 1651 141016.0018.ec.fits: ap = 7, w1 = 9712.456, w2 = 9507.516, dw = -0.12421, nw = 1651 141016.0018.ec.fits: ap = 8, w1 = 9550.597, w2 = 9349.073, dw = -0.12214, nw = 1651 141016.0018.ec.fits: ap = 9, w1 = 9394.045, w2 = 9195.824, dw = -0.12013, nw = 1651 141016.0018.ec.fits: ap = 10, w1 = 9242.542, w2 = 9047.519, dw = -0.1182, nw = 1651 141016.0018.ec.fits: ap = 11, w1 = 9095.849, w2 = 8903.922, dw = -0.11632, nw = 1651 141016.0018.ec.fits: ap = 12, w1 = 8953.74, w2 = 8764.813, dw = -0.1145, nw = 1651 141016.0018.ec.fits: ap = 13, w1 = 8816.003, w2 = 8629.983, dw = -0.11274, nw = 1651 141016.0018.ec.fits: ap = 14, w1 = 8682.439, w2 = 8499.239, dw = -0.11103, nw = 1651 141016.0018.ec.fits: ap = 15, w1 = 8552.863, w2 = 8372.398, dw = -0.10937, nw = 1651 141016.0018.ec.fits: ap = 16, w1 = 8427.097, w2 = 8249.288, dw = -0.10776, nw = 1651 141016.0018.ec.fits: ap = 17, w1 = 8304.976, w2 = 8129.745, dw = -0.1062, nw = 1651 141016.0018.ec.fits: ap = 18, w1 = 8186.345, w2 = 8013.619, dw = -0.10468, nw = 1651 141016.0018.ec.fits: ap = 19, w1 = 8071.055, w2 = 7900.763, dw = -0.10321, nw = 1651 141016.0018.ec.fits: ap = 20, w1 = 7958.967, w2 = 7791.042, dw = -0.10177, nw = 1651 141016.0018.ec.fits: ap = 21, w1 = 7849.95, w2 = 7684.328, dw = -0.10038, nw = 1651 141016.0018.ec.fits: ap = 22, w1 = 7743.879, w2 = 7580.497, dw = -0.09902, nw = 1651 141016.0018.ec.fits: ap = 23, w1 = 7640.637, w2 = 7479.435, dw = -0.0977, nw = 1651 141016.0018.ec.fits: ap = 24, w1 = 7540.112, w2 = 7381.033, dw = -0.09641, nw = 1651 141016.0018.ec.fits: ap = 25, w1 = 7442.197, w2 = 7285.187, dw = -0.09516, nw = 1651 141016.0018.ec.fits: ap = 26, w1 = 7346.794, w2 = 7191.798, dw = -0.09394, nw = 1651 141016.0018.ec.fits: ap = 27, w1 = 7253.805, w2 = 7100.774, dw = -0.09275, nw = 1651 141016.0018.ec.fits: ap = 28, w1 = 7163.142, w2 = 7012.025, dw = -0.09159, nw = 1651 141016.0018.ec.fits: ap = 29, w1 = 7074.716, w2 = 6925.467, dw = -0.09045, nw = 1651 141016.0018.ec.fits: ap = 30, w1 = 6988.448, w2 = 6841.021, dw = -0.08935, nw = 1651 141016.0018.ec.fits: ap = 31, w1 = 6904.258, w2 = 6758.61, dw = -0.08827, nw = 1651 141016.0018.ec.fits: ap = 32, w1 = 6822.073, w2 = 6678.161, dw = -0.08722, nw = 1651 141016.0018.ec.fits: ap = 33, w1 = 6741.822, w2 = 6599.605, dw = -0.08619, nw = 1651 141016.0018.ec.fits: ap = 34, w1 = 6663.437, w2 = 6522.876, dw = -0.08519, nw = 1651 141016.0018.ec.fits: ap = 35, w1 = 6586.854, w2 = 6447.91, dw = -0.08421, nw = 1651 141016.0018.ec.fits: ap = 36, w1 = 6512.012, w2 = 6374.649, dw = -0.08325, nw = 1651 141016.0018.ec.fits: ap = 37, w1 = 6438.851, w2 = 6303.034, dw = -0.08231, nw = 1651 141016.0018.ec.fits: ap = 38, w1 = 6367.317, w2 = 6233.01, dw = -0.0814, nw = 1651 141016.0018.ec.fits: ap = 39, w1 = 6297.355, w2 = 6164.526, dw = -0.0805, nw = 1651 141016.0018.ec.fits: ap = 40, w1 = 6228.913, w2 = 6097.53, dw = -0.07963, nw = 1651 141016.0018.ec.fits: ap = 41, w1 = 6161.944, w2 = 6031.975, dw = -0.07877, nw = 1651 141016.0018.ec.fits: ap = 42, w1 = 6096.399, w2 = 5967.815, dw = -0.07793, nw = 1651 141016.0018.ec.fits: ap = 43, w1 = 6032.235, w2 = 5905.006, dw = -0.07711, nw = 1651 141016.0018.ec.fits: ap = 44, w1 = 5969.407, w2 = 5843.506, dw = -0.0763, nw = 1651 141016.0018.ec.fits: ap = 45, w1 = 5907.875, w2 = 5783.273, dw = -0.07552, nw = 1651 141016.0018.ec.fits: ap = 46, w1 = 5847.599, w2 = 5724.27, dw = -0.07474, nw = 1651 141016.0018.ec.fits: ap = 47, w1 = 5788.54, w2 = 5666.459, dw = -0.07399, nw = 1651 141016.0018.ec.fits: ap = 48, w1 = 5730.663, w2 = 5609.804, dw = -0.07325, nw = 1651 141016.0018.ec.fits: ap = 49, w1 = 5673.932, w2 = 5554.271, dw = -0.07252, nw = 1651 141016.0018.ec.fits: ap = 50, w1 = 5618.314, w2 = 5499.827, dw = -0.07181, nw = 1651 141016.0018.ec.fits: ap = 51, w1 = 5563.775, w2 = 5446.441, dw = -0.07111, nw = 1651 141016.0018.ec.fits: ap = 52, w1 = 5510.285, w2 = 5394.081, dw = -0.07043, nw = 1651 141016.0018.ec.fits: ap = 53, w1 = 5457.815, w2 = 5342.718, dw = -0.06976, nw = 1651 141016.0018.ec.fits: ap = 54, w1 = 5406.334, w2 = 5292.325, dw = -0.0691, nw = 1651 141016.0018.ec.fits: ap = 55, w1 = 5355.816, w2 = 5242.874, dw = -0.06845, nw = 1651 141016.0018.ec.fits: ap = 56, w1 = 5306.233, w2 = 5194.338, dw = -0.06782, nw = 1651 141016.0018.ec.fits: ap = 57, w1 = 5257.561, w2 = 5146.694, dw = -0.06719, nw = 1651 141016.0018.ec.fits: ap = 58, w1 = 5209.773, w2 = 5099.915, dw = -0.06658, nw = 1651 141016.0018.ec.fits: ap = 59, w1 = 5162.846, w2 = 5053.98, dw = -0.06598, nw = 1651 141016.0018.ec.fits: ap = 60, w1 = 5116.758, w2 = 5008.865, dw = -0.06539, nw = 1651 141016.0018.ec.fits: ap = 61, w1 = 5071.485, w2 = 4964.548, dw = -0.06481, nw = 1651 141016.0018.ec.fits: ap = 62, w1 = 5027.007, w2 = 4921.009, dw = -0.06424, nw = 1651 141016.0018.ec.fits: ap = 63, w1 = 4983.302, w2 = 4878.227, dw = -0.06368, nw = 1651 141016.0018.ec.fits: ap = 64, w1 = 4940.351, w2 = 4836.183, dw = -0.06313, nw = 1651 141016.0018.ec.fits: ap = 65, w1 = 4898.134, w2 = 4794.858, dw = -0.06259, nw = 1651 141016.0018.ec.fits: ap = 66, w1 = 4856.633, w2 = 4754.234, dw = -0.06206, nw = 1651 141016.0018.ec.fits: ap = 67, w1 = 4815.83, w2 = 4714.292, dw = -0.06154, nw = 1651 141016.0018.ec.fits: ap = 68, w1 = 4775.706, w2 = 4675.016, dw = -0.06102, nw = 1651 141016.0018.ec.fits: ap = 69, w1 = 4736.246, w2 = 4636.389, dw = -0.06052, nw = 1651 141016.0018.ec.fits: ap = 70, w1 = 4697.432, w2 = 4598.396, dw = -0.06002, nw = 1651 141016.0018.ec.fits: ap = 71, w1 = 4659.25, w2 = 4561.02, dw = -0.05953, nw = 1651 141016.0018.ec.fits: ap = 72, w1 = 4621.684, w2 = 4524.248, dw = -0.05905, nw = 1651 141016.0018.ec.fits: ap = 73, w1 = 4584.718, w2 = 4488.063, dw = -0.05858, nw = 1651 141016.0018.ec.fits: ap = 74, w1 = 4548.34, w2 = 4452.453, dw = -0.05811, nw = 1651 141016.0018.ec.fits: ap = 75, w1 = 4512.534, w2 = 4417.404, dw = -0.05765, nw = 1651 141016.0018.ec.fits: ap = 76, w1 = 4477.288, w2 = 4382.903, dw = -0.0572, nw = 1651 141016.0018.ec.fits: ap = 77, w1 = 4442.588, w2 = 4348.937, dw = -0.05676, nw = 1651 141016.0018.ec.fits: ap = 78, w1 = 4408.423, w2 = 4315.493, dw = -0.05632, nw = 1651 141016.0018.ec.fits: ap = 79, w1 = 4374.778, w2 = 4282.56, dw = -0.05589, nw = 1651 141016.0018.ec.fits: ap = 80, w1 = 4341.644, w2 = 4250.126, dw = -0.05547, nw = 1651 141016.0018.ec.fits: ap = 81, w1 = 4309.008, w2 = 4218.18, dw = -0.05505, nw = 1651 141016.0018.ec.fits: ap = 82, w1 = 4276.859, w2 = 4186.711, dw = -0.05464, nw = 1651 141016.0018.ec.fits: ap = 83, w1 = 4245.186, w2 = 4155.708, dw = -0.05423, nw = 1651 141016.0018.ec.fits: ap = 84, w1 = 4213.979, w2 = 4125.161, dw = -0.05383, nw = 1651 141016.0018.ec.fits: ap = 85, w1 = 4183.227, w2 = 4095.06, dw = -0.05343, nw = 1651 141016.0018.ec.fits: ap = 86, w1 = 4152.921, w2 = 4065.395, dw = -0.05305, nw = 1651 141016.0018.ec.fits: ap = 87, w1 = 4123.051, w2 = 4036.157, dw = -0.05266, nw = 1651 141016.0018.ec.fits: ap = 88, w1 = 4093.608, w2 = 4007.337, dw = -0.05229, nw = 1651 141016.0018.ec.fits: ap = 89, w1 = 4064.582, w2 = 3978.926, dw = -0.05191, nw = 1651 141016.0018.ec.fits: ap = 90, w1 = 4035.965, w2 = 3950.915, dw = -0.05155, nw = 1651 141016.0018.ec.fits: ap = 91, w1 = 4007.748, w2 = 3923.296, dw = -0.05118, nw = 1651 141016.0018.ec.fits: ap = 92, w1 = 3979.923, w2 = 3896.06, dw = -0.05083, nw = 1651 141016.0018.ec.fits: ap = 93, w1 = 3952.481, w2 = 3869.2, dw = -0.05047, nw = 1651 141016.0018.ec.fits: ap = 94, w1 = 3925.416, w2 = 3842.708, dw = -0.05013, nw = 1651 141016.0018.ec.fits: ap = 95, w1 = 3898.718, w2 = 3816.577, dw = -0.04978, nw = 1651 141016.0018.ec.fits: ap = 96, w1 = 3872.381, w2 = 3790.799, dw = -0.04944, nw = 1651 141016.0018.ec.fits: ap = 97, w1 = 3846.398, w2 = 3765.367, dw = -0.04911, nw = 1651 141016.0018.ec.fits: ap = 98, w1 = 3820.761, w2 = 3740.274, dw = -0.04878, nw = 1651 141016.0018.ec.fits: ap = 99, w1 = 3795.463, w2 = 3715.513, dw = -0.04845, nw = 1651 141016.0018.ec.fits: ap = 100, w1 = 3770.497, w2 = 3691.078, dw = -0.04813, nw = 1651 141016.0018.ec.fits: ap = 101, w1 = 3745.859, w2 = 3666.962, dw = -0.04782, nw = 1651 141016.0018.ec.fits: ap = 102, w1 = 3721.54, w2 = 3643.16, dw = -0.0475, nw = 1651 141016.0018.ec.fits: ap = 103, w1 = 3697.534, w2 = 3619.665, dw = -0.04719, nw = 1651 141016.0018.ec.fits: ap = 104, w1 = 3673.836, w2 = 3596.471, dw = -0.04689, nw = 1651 141016.0018.ec.fits: ap = 105, w1 = 3650.44, w2 = 3573.573, dw = -0.04659, nw = 1651 141016.0018.ec.fits: ap = 106, w1 = 3627.34, w2 = 3550.965, dw = -0.04629, nw = 1651 141016.0018.ec.fits: ap = 107, w1 = 3604.53, w2 = 3528.641, dw = -0.04599, nw = 1651 141016.0018.ec.fits: ap = 108, w1 = 3582.005, w2 = 3506.596, dw = -0.0457, nw = 1651 141016.0018.ec.fits: ap = 109, w1 = 3559.759, w2 = 3484.825, dw = -0.04541, nw = 1651 141016.0018.ec.fits: ap = 110, w1 = 3537.788, w2 = 3463.323, dw = -0.04513, nw = 1651 141016.0018.ec.fits: ap = 111, w1 = 3516.086, w2 = 3442.084, dw = -0.04485, nw = 1651 141016.0018.ec.fits: ap = 112, w1 = 3494.649, w2 = 3421.105, dw = -0.04457, nw = 1651 141016.0018.ec.fits: ap = 113, w1 = 3473.471, w2 = 3400.38, dw = -0.0443, nw = 1651 141016.0018.ec.fits: ap = 114, w1 = 3452.547, w2 = 3379.904, dw = -0.04403, nw = 1651 141016.0018.ec.fits: ap = 115, w1 = 3431.875, w2 = 3359.673, dw = -0.04376, nw = 1651 141016.0019.ec.fits: REFSPEC1 = 'EchelleThAr.0016.ec 0.19269131' 141016.0019.ec.fits: REFSPEC2 = 'EchelleThAr.0020.ec 0.80730867' 141016.0019.ec.fits: ap = 1, w1 = 10811.86, w2 = 10583.72, dw = -0.13826, nw = 1651 141016.0019.ec.fits: ap = 2, w1 = 10611.66, w2 = 10387.75, dw = -0.1357, nw = 1651 141016.0019.ec.fits: ap = 3, w1 = 10418.74, w2 = 10198.9, dw = -0.13324, nw = 1651 141016.0019.ec.fits: ap = 4, w1 = 10232.71, w2 = 10016.79, dw = -0.13086, nw = 1651 141016.0019.ec.fits: ap = 5, w1 = 10053.21, w2 = 9841.076, dw = -0.12856, nw = 1651 141016.0019.ec.fits: ap = 6, w1 = 9879.893, w2 = 9671.419, dw = -0.12635, nw = 1651 141016.0019.ec.fits: ap = 7, w1 = 9712.454, w2 = 9507.513, dw = -0.12421, nw = 1651 141016.0019.ec.fits: ap = 8, w1 = 9550.596, w2 = 9349.07, dw = -0.12214, nw = 1651 141016.0019.ec.fits: ap = 9, w1 = 9394.044, w2 = 9195.822, dw = -0.12013, nw = 1651 141016.0019.ec.fits: ap = 10, w1 = 9242.542, w2 = 9047.518, dw = -0.1182, nw = 1651 141016.0019.ec.fits: ap = 11, w1 = 9095.849, w2 = 8903.921, dw = -0.11632, nw = 1651 141016.0019.ec.fits: ap = 12, w1 = 8953.74, w2 = 8764.812, dw = -0.1145, nw = 1651 141016.0019.ec.fits: ap = 13, w1 = 8816.004, w2 = 8629.982, dw = -0.11274, nw = 1651 141016.0019.ec.fits: ap = 14, w1 = 8682.44, w2 = 8499.239, dw = -0.11103, nw = 1651 141016.0019.ec.fits: ap = 15, w1 = 8552.864, w2 = 8372.398, dw = -0.10937, nw = 1651 141016.0019.ec.fits: ap = 16, w1 = 8427.098, w2 = 8249.287, dw = -0.10776, nw = 1651 141016.0019.ec.fits: ap = 17, w1 = 8304.977, w2 = 8129.745, dw = -0.1062, nw = 1651 141016.0019.ec.fits: ap = 18, w1 = 8186.346, w2 = 8013.619, dw = -0.10468, nw = 1651 141016.0019.ec.fits: ap = 19, w1 = 8071.056, w2 = 7900.763, dw = -0.10321, nw = 1651 141016.0019.ec.fits: ap = 20, w1 = 7958.968, w2 = 7791.042, dw = -0.10177, nw = 1651 141016.0019.ec.fits: ap = 21, w1 = 7849.951, w2 = 7684.328, dw = -0.10038, nw = 1651 141016.0019.ec.fits: ap = 22, w1 = 7743.881, w2 = 7580.497, dw = -0.09902, nw = 1651 141016.0019.ec.fits: ap = 23, w1 = 7640.638, w2 = 7479.435, dw = -0.0977, nw = 1651 141016.0019.ec.fits: ap = 24, w1 = 7540.113, w2 = 7381.033, dw = -0.09641, nw = 1651 141016.0019.ec.fits: ap = 25, w1 = 7442.199, w2 = 7285.187, dw = -0.09516, nw = 1651 141016.0019.ec.fits: ap = 26, w1 = 7346.795, w2 = 7191.798, dw = -0.09394, nw = 1651 141016.0019.ec.fits: ap = 27, w1 = 7253.806, w2 = 7100.773, dw = -0.09275, nw = 1651 141016.0019.ec.fits: ap = 28, w1 = 7163.143, w2 = 7012.025, dw = -0.09159, nw = 1651 141016.0019.ec.fits: ap = 29, w1 = 7074.717, w2 = 6925.467, dw = -0.09045, nw = 1651 141016.0019.ec.fits: ap = 30, w1 = 6988.449, w2 = 6841.021, dw = -0.08935, nw = 1651 141016.0019.ec.fits: ap = 31, w1 = 6904.259, w2 = 6758.61, dw = -0.08827, nw = 1651 141016.0019.ec.fits: ap = 32, w1 = 6822.074, w2 = 6678.16, dw = -0.08722, nw = 1651 141016.0019.ec.fits: ap = 33, w1 = 6741.823, w2 = 6599.604, dw = -0.08619, nw = 1651 141016.0019.ec.fits: ap = 34, w1 = 6663.438, w2 = 6522.875, dw = -0.08519, nw = 1651 141016.0019.ec.fits: ap = 35, w1 = 6586.855, w2 = 6447.91, dw = -0.08421, nw = 1651 141016.0019.ec.fits: ap = 36, w1 = 6512.013, w2 = 6374.648, dw = -0.08325, nw = 1651 141016.0019.ec.fits: ap = 37, w1 = 6438.852, w2 = 6303.033, dw = -0.08231, nw = 1651 141016.0019.ec.fits: ap = 38, w1 = 6367.318, w2 = 6233.01, dw = -0.0814, nw = 1651 141016.0019.ec.fits: ap = 39, w1 = 6297.355, w2 = 6164.525, dw = -0.0805, nw = 1651 141016.0019.ec.fits: ap = 40, w1 = 6228.914, w2 = 6097.529, dw = -0.07963, nw = 1651 141016.0019.ec.fits: ap = 41, w1 = 6161.945, w2 = 6031.975, dw = -0.07877, nw = 1651 141016.0019.ec.fits: ap = 42, w1 = 6096.4, w2 = 5967.815, dw = -0.07793, nw = 1651 141016.0019.ec.fits: ap = 43, w1 = 6032.236, w2 = 5905.005, dw = -0.07711, nw = 1651 141016.0019.ec.fits: ap = 44, w1 = 5969.408, w2 = 5843.505, dw = -0.0763, nw = 1651 141016.0019.ec.fits: ap = 45, w1 = 5907.876, w2 = 5783.272, dw = -0.07552, nw = 1651 141016.0019.ec.fits: ap = 46, w1 = 5847.6, w2 = 5724.269, dw = -0.07475, nw = 1651 141016.0019.ec.fits: ap = 47, w1 = 5788.541, w2 = 5666.458, dw = -0.07399, nw = 1651 141016.0019.ec.fits: ap = 48, w1 = 5730.664, w2 = 5609.804, dw = -0.07325, nw = 1651 141016.0019.ec.fits: ap = 49, w1 = 5673.933, w2 = 5554.271, dw = -0.07252, nw = 1651 141016.0019.ec.fits: ap = 50, w1 = 5618.315, w2 = 5499.827, dw = -0.07181, nw = 1651 141016.0019.ec.fits: ap = 51, w1 = 5563.776, w2 = 5446.44, dw = -0.07111, nw = 1651 141016.0019.ec.fits: ap = 52, w1 = 5510.287, w2 = 5394.081, dw = -0.07043, nw = 1651 141016.0019.ec.fits: ap = 53, w1 = 5457.816, w2 = 5342.718, dw = -0.06976, nw = 1651 141016.0019.ec.fits: ap = 54, w1 = 5406.336, w2 = 5292.325, dw = -0.0691, nw = 1651 141016.0019.ec.fits: ap = 55, w1 = 5355.818, w2 = 5242.874, dw = -0.06845, nw = 1651 141016.0019.ec.fits: ap = 56, w1 = 5306.235, w2 = 5194.339, dw = -0.06782, nw = 1651 141016.0019.ec.fits: ap = 57, w1 = 5257.563, w2 = 5146.694, dw = -0.06719, nw = 1651 141016.0019.ec.fits: ap = 58, w1 = 5209.775, w2 = 5099.915, dw = -0.06658, nw = 1651 141016.0019.ec.fits: ap = 59, w1 = 5162.849, w2 = 5053.98, dw = -0.06598, nw = 1651 141016.0019.ec.fits: ap = 60, w1 = 5116.76, w2 = 5008.865, dw = -0.06539, nw = 1651 141016.0019.ec.fits: ap = 61, w1 = 5071.488, w2 = 4964.549, dw = -0.06481, nw = 1651 141016.0019.ec.fits: ap = 62, w1 = 5027.009, w2 = 4921.01, dw = -0.06424, nw = 1651 141016.0019.ec.fits: ap = 63, w1 = 4983.305, w2 = 4878.228, dw = -0.06368, nw = 1651 141016.0019.ec.fits: ap = 64, w1 = 4940.353, w2 = 4836.184, dw = -0.06313, nw = 1651 141016.0019.ec.fits: ap = 65, w1 = 4898.137, w2 = 4794.859, dw = -0.06259, nw = 1651 141016.0019.ec.fits: ap = 66, w1 = 4856.636, w2 = 4754.235, dw = -0.06206, nw = 1651 141016.0019.ec.fits: ap = 67, w1 = 4815.832, w2 = 4714.293, dw = -0.06154, nw = 1651 141016.0019.ec.fits: ap = 68, w1 = 4775.708, w2 = 4675.017, dw = -0.06103, nw = 1651 141016.0019.ec.fits: ap = 69, w1 = 4736.248, w2 = 4636.39, dw = -0.06052, nw = 1651 141016.0019.ec.fits: ap = 70, w1 = 4697.434, w2 = 4598.397, dw = -0.06002, nw = 1651 141016.0019.ec.fits: ap = 71, w1 = 4659.252, w2 = 4561.021, dw = -0.05953, nw = 1651 141016.0019.ec.fits: ap = 72, w1 = 4621.686, w2 = 4524.249, dw = -0.05905, nw = 1651 141016.0019.ec.fits: ap = 73, w1 = 4584.72, w2 = 4488.064, dw = -0.05858, nw = 1651 141016.0019.ec.fits: ap = 74, w1 = 4548.342, w2 = 4452.454, dw = -0.05811, nw = 1651 141016.0019.ec.fits: ap = 75, w1 = 4512.536, w2 = 4417.406, dw = -0.05765, nw = 1651 141016.0019.ec.fits: ap = 76, w1 = 4477.289, w2 = 4382.904, dw = -0.0572, nw = 1651 141016.0019.ec.fits: ap = 77, w1 = 4442.59, w2 = 4348.938, dw = -0.05676, nw = 1651 141016.0019.ec.fits: ap = 78, w1 = 4408.423, w2 = 4315.494, dw = -0.05632, nw = 1651 141016.0019.ec.fits: ap = 79, w1 = 4374.779, w2 = 4282.561, dw = -0.05589, nw = 1651 141016.0019.ec.fits: ap = 80, w1 = 4341.644, w2 = 4250.127, dw = -0.05546, nw = 1651 141016.0019.ec.fits: ap = 81, w1 = 4309.008, w2 = 4218.181, dw = -0.05505, nw = 1651 141016.0019.ec.fits: ap = 82, w1 = 4276.858, w2 = 4186.712, dw = -0.05463, nw = 1651 141016.0019.ec.fits: ap = 83, w1 = 4245.185, w2 = 4155.708, dw = -0.05423, nw = 1651 141016.0019.ec.fits: ap = 84, w1 = 4213.977, w2 = 4125.161, dw = -0.05383, nw = 1651 141016.0019.ec.fits: ap = 85, w1 = 4183.225, w2 = 4095.06, dw = -0.05343, nw = 1651 141016.0019.ec.fits: ap = 86, w1 = 4152.918, w2 = 4065.395, dw = -0.05304, nw = 1651 141016.0019.ec.fits: ap = 87, w1 = 4123.048, w2 = 4036.157, dw = -0.05266, nw = 1651 141016.0019.ec.fits: ap = 88, w1 = 4093.604, w2 = 4007.337, dw = -0.05228, nw = 1651 141016.0019.ec.fits: ap = 89, w1 = 4064.577, w2 = 3978.925, dw = -0.05191, nw = 1651 141016.0019.ec.fits: ap = 90, w1 = 4035.959, w2 = 3950.914, dw = -0.05154, nw = 1651 141016.0019.ec.fits: ap = 91, w1 = 4007.741, w2 = 3923.295, dw = -0.05118, nw = 1651 141016.0019.ec.fits: ap = 92, w1 = 3979.915, w2 = 3896.059, dw = -0.05082, nw = 1651 141016.0019.ec.fits: ap = 93, w1 = 3952.473, w2 = 3869.198, dw = -0.05047, nw = 1651 141016.0019.ec.fits: ap = 94, w1 = 3925.406, w2 = 3842.706, dw = -0.05012, nw = 1651 141016.0019.ec.fits: ap = 95, w1 = 3898.708, w2 = 3816.574, dw = -0.04978, nw = 1651 141016.0019.ec.fits: ap = 96, w1 = 3872.37, w2 = 3790.796, dw = -0.04944, nw = 1651 141016.0019.ec.fits: ap = 97, w1 = 3846.385, w2 = 3765.363, dw = -0.0491, nw = 1651 141016.0019.ec.fits: ap = 98, w1 = 3820.747, w2 = 3740.269, dw = -0.04877, nw = 1651 141016.0019.ec.fits: ap = 99, w1 = 3795.447, w2 = 3715.508, dw = -0.04845, nw = 1651 141016.0019.ec.fits: ap = 100, w1 = 3770.481, w2 = 3691.072, dw = -0.04813, nw = 1651 141016.0019.ec.fits: ap = 101, w1 = 3745.84, w2 = 3666.956, dw = -0.04781, nw = 1651 141016.0019.ec.fits: ap = 102, w1 = 3721.52, w2 = 3643.154, dw = -0.04749, nw = 1651 141016.0019.ec.fits: ap = 103, w1 = 3697.512, w2 = 3619.658, dw = -0.04718, nw = 1651 141016.0019.ec.fits: ap = 104, w1 = 3673.813, w2 = 3596.463, dw = -0.04688, nw = 1651 141016.0019.ec.fits: ap = 105, w1 = 3650.415, w2 = 3573.564, dw = -0.04658, nw = 1651 141016.0019.ec.fits: ap = 106, w1 = 3627.312, w2 = 3550.955, dw = -0.04628, nw = 1651 141016.0019.ec.fits: ap = 107, w1 = 3604.5, w2 = 3528.63, dw = -0.04598, nw = 1651 141016.0019.ec.fits: ap = 108, w1 = 3581.973, w2 = 3506.584, dw = -0.04569, nw = 1651 141016.0019.ec.fits: ap = 109, w1 = 3559.725, w2 = 3484.812, dw = -0.0454, nw = 1651 141016.0019.ec.fits: ap = 110, w1 = 3537.752, w2 = 3463.308, dw = -0.04512, nw = 1651 141016.0019.ec.fits: ap = 111, w1 = 3516.048, w2 = 3442.069, dw = -0.04484, nw = 1651 141016.0019.ec.fits: ap = 112, w1 = 3494.608, w2 = 3421.088, dw = -0.04456, nw = 1651 141016.0019.ec.fits: ap = 113, w1 = 3473.427, w2 = 3400.362, dw = -0.04428, nw = 1651 141016.0019.ec.fits: ap = 114, w1 = 3452.501, w2 = 3379.885, dw = -0.04401, nw = 1651 141016.0019.ec.fits: ap = 115, w1 = 3431.826, w2 = 3359.653, dw = -0.04374, nw = 1651 141016.0021.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 0.8496716' 141016.0021.ec.fits: REFSPEC2 = 'EchelleThAr.0024.ec 0.1503284' 141016.0021.ec.fits: ap = 1, w1 = 10811.86, w2 = 10583.72, dw = -0.13827, nw = 1651 141016.0021.ec.fits: ap = 2, w1 = 10611.66, w2 = 10387.74, dw = -0.13571, nw = 1651 141016.0021.ec.fits: ap = 3, w1 = 10418.74, w2 = 10198.89, dw = -0.13324, nw = 1651 141016.0021.ec.fits: ap = 4, w1 = 10232.71, w2 = 10016.79, dw = -0.13086, nw = 1651 141016.0021.ec.fits: ap = 5, w1 = 10053.21, w2 = 9841.075, dw = -0.12857, nw = 1651 141016.0021.ec.fits: ap = 6, w1 = 9879.895, w2 = 9671.418, dw = -0.12635, nw = 1651 141016.0021.ec.fits: ap = 7, w1 = 9712.456, w2 = 9507.512, dw = -0.12421, nw = 1651 141016.0021.ec.fits: ap = 8, w1 = 9550.598, w2 = 9349.07, dw = -0.12214, nw = 1651 141016.0021.ec.fits: ap = 9, w1 = 9394.047, w2 = 9195.823, dw = -0.12014, nw = 1651 141016.0021.ec.fits: ap = 10, w1 = 9242.544, w2 = 9047.518, dw = -0.1182, nw = 1651 141016.0021.ec.fits: ap = 11, w1 = 9095.851, w2 = 8903.922, dw = -0.11632, nw = 1651 141016.0021.ec.fits: ap = 12, w1 = 8953.742, w2 = 8764.812, dw = -0.1145, nw = 1651 141016.0021.ec.fits: ap = 13, w1 = 8816.005, w2 = 8629.983, dw = -0.11274, nw = 1651 141016.0021.ec.fits: ap = 14, w1 = 8682.441, w2 = 8499.239, dw = -0.11103, nw = 1651 141016.0021.ec.fits: ap = 15, w1 = 8552.865, w2 = 8372.398, dw = -0.10937, nw = 1651 141016.0021.ec.fits: ap = 16, w1 = 8427.099, w2 = 8249.288, dw = -0.10776, nw = 1651 141016.0021.ec.fits: ap = 17, w1 = 8304.978, w2 = 8129.746, dw = -0.1062, nw = 1651 141016.0021.ec.fits: ap = 18, w1 = 8186.346, w2 = 8013.619, dw = -0.10468, nw = 1651 141016.0021.ec.fits: ap = 19, w1 = 8071.056, w2 = 7900.763, dw = -0.10321, nw = 1651 141016.0021.ec.fits: ap = 20, w1 = 7958.968, w2 = 7791.043, dw = -0.10177, nw = 1651 141016.0021.ec.fits: ap = 21, w1 = 7849.951, w2 = 7684.328, dw = -0.10038, nw = 1651 141016.0021.ec.fits: ap = 22, w1 = 7743.881, w2 = 7580.498, dw = -0.09902, nw = 1651 141016.0021.ec.fits: ap = 23, w1 = 7640.638, w2 = 7479.436, dw = -0.0977, nw = 1651 141016.0021.ec.fits: ap = 24, w1 = 7540.113, w2 = 7381.033, dw = -0.09641, nw = 1651 141016.0021.ec.fits: ap = 25, w1 = 7442.199, w2 = 7285.187, dw = -0.09516, nw = 1651 141016.0021.ec.fits: ap = 26, w1 = 7346.795, w2 = 7191.798, dw = -0.09394, nw = 1651 141016.0021.ec.fits: ap = 27, w1 = 7253.806, w2 = 7100.774, dw = -0.09275, nw = 1651 141016.0021.ec.fits: ap = 28, w1 = 7163.143, w2 = 7012.025, dw = -0.09159, nw = 1651 141016.0021.ec.fits: ap = 29, w1 = 7074.717, w2 = 6925.468, dw = -0.09045, nw = 1651 141016.0021.ec.fits: ap = 30, w1 = 6988.449, w2 = 6841.021, dw = -0.08935, nw = 1651 141016.0021.ec.fits: ap = 31, w1 = 6904.259, w2 = 6758.61, dw = -0.08827, nw = 1651 141016.0021.ec.fits: ap = 32, w1 = 6822.074, w2 = 6678.161, dw = -0.08722, nw = 1651 141016.0021.ec.fits: ap = 33, w1 = 6741.823, w2 = 6599.604, dw = -0.08619, nw = 1651 141016.0021.ec.fits: ap = 34, w1 = 6663.438, w2 = 6522.875, dw = -0.08519, nw = 1651 141016.0021.ec.fits: ap = 35, w1 = 6586.855, w2 = 6447.91, dw = -0.08421, nw = 1651 141016.0021.ec.fits: ap = 36, w1 = 6512.012, w2 = 6374.648, dw = -0.08325, nw = 1651 141016.0021.ec.fits: ap = 37, w1 = 6438.853, w2 = 6303.034, dw = -0.08231, nw = 1651 141016.0021.ec.fits: ap = 38, w1 = 6367.318, w2 = 6233.01, dw = -0.0814, nw = 1651 141016.0021.ec.fits: ap = 39, w1 = 6297.356, w2 = 6164.526, dw = -0.0805, nw = 1651 141016.0021.ec.fits: ap = 40, w1 = 6228.915, w2 = 6097.53, dw = -0.07963, nw = 1651 141016.0021.ec.fits: ap = 41, w1 = 6161.945, w2 = 6031.975, dw = -0.07877, nw = 1651 141016.0021.ec.fits: ap = 42, w1 = 6096.401, w2 = 5967.815, dw = -0.07793, nw = 1651 141016.0021.ec.fits: ap = 43, w1 = 6032.237, w2 = 5905.006, dw = -0.07711, nw = 1651 141016.0021.ec.fits: ap = 44, w1 = 5969.409, w2 = 5843.506, dw = -0.07631, nw = 1651 141016.0021.ec.fits: ap = 45, w1 = 5907.877, w2 = 5783.273, dw = -0.07552, nw = 1651 141016.0021.ec.fits: ap = 46, w1 = 5847.601, w2 = 5724.27, dw = -0.07475, nw = 1651 141016.0021.ec.fits: ap = 47, w1 = 5788.543, w2 = 5666.459, dw = -0.07399, nw = 1651 141016.0021.ec.fits: ap = 48, w1 = 5730.665, w2 = 5609.804, dw = -0.07325, nw = 1651 141016.0021.ec.fits: ap = 49, w1 = 5673.935, w2 = 5554.271, dw = -0.07252, nw = 1651 141016.0021.ec.fits: ap = 50, w1 = 5618.316, w2 = 5499.828, dw = -0.07181, nw = 1651 141016.0021.ec.fits: ap = 51, w1 = 5563.778, w2 = 5446.441, dw = -0.07111, nw = 1651 141016.0021.ec.fits: ap = 52, w1 = 5510.288, w2 = 5394.081, dw = -0.07043, nw = 1651 141016.0021.ec.fits: ap = 53, w1 = 5457.818, w2 = 5342.719, dw = -0.06976, nw = 1651 141016.0021.ec.fits: ap = 54, w1 = 5406.338, w2 = 5292.326, dw = -0.0691, nw = 1651 141016.0021.ec.fits: ap = 55, w1 = 5355.819, w2 = 5242.875, dw = -0.06845, nw = 1651 141016.0021.ec.fits: ap = 56, w1 = 5306.237, w2 = 5194.339, dw = -0.06782, nw = 1651 141016.0021.ec.fits: ap = 57, w1 = 5257.565, w2 = 5146.695, dw = -0.06719, nw = 1651 141016.0021.ec.fits: ap = 58, w1 = 5209.777, w2 = 5099.916, dw = -0.06658, nw = 1651 141016.0021.ec.fits: ap = 59, w1 = 5162.851, w2 = 5053.981, dw = -0.06598, nw = 1651 141016.0021.ec.fits: ap = 60, w1 = 5116.762, w2 = 5008.866, dw = -0.06539, nw = 1651 141016.0021.ec.fits: ap = 61, w1 = 5071.49, w2 = 4964.55, dw = -0.06481, nw = 1651 141016.0021.ec.fits: ap = 62, w1 = 5027.012, w2 = 4921.011, dw = -0.06424, nw = 1651 141016.0021.ec.fits: ap = 63, w1 = 4983.307, w2 = 4878.229, dw = -0.06368, nw = 1651 141016.0021.ec.fits: ap = 64, w1 = 4940.356, w2 = 4836.186, dw = -0.06313, nw = 1651 141016.0021.ec.fits: ap = 65, w1 = 4898.139, w2 = 4794.86, dw = -0.06259, nw = 1651 141016.0021.ec.fits: ap = 66, w1 = 4856.638, w2 = 4754.236, dw = -0.06206, nw = 1651 141016.0021.ec.fits: ap = 67, w1 = 4815.835, w2 = 4714.294, dw = -0.06154, nw = 1651 141016.0021.ec.fits: ap = 68, w1 = 4775.711, w2 = 4675.018, dw = -0.06103, nw = 1651 141016.0021.ec.fits: ap = 69, w1 = 4736.251, w2 = 4636.392, dw = -0.06052, nw = 1651 141016.0021.ec.fits: ap = 70, w1 = 4697.438, w2 = 4598.398, dw = -0.06002, nw = 1651 141016.0021.ec.fits: ap = 71, w1 = 4659.255, w2 = 4561.023, dw = -0.05953, nw = 1651 141016.0021.ec.fits: ap = 72, w1 = 4621.689, w2 = 4524.25, dw = -0.05905, nw = 1651 141016.0021.ec.fits: ap = 73, w1 = 4584.724, w2 = 4488.066, dw = -0.05858, nw = 1651 141016.0021.ec.fits: ap = 74, w1 = 4548.345, w2 = 4452.456, dw = -0.05811, nw = 1651 141016.0021.ec.fits: ap = 75, w1 = 4512.54, w2 = 4417.407, dw = -0.05766, nw = 1651 141016.0021.ec.fits: ap = 76, w1 = 4477.293, w2 = 4382.906, dw = -0.0572, nw = 1651 141016.0021.ec.fits: ap = 77, w1 = 4442.594, w2 = 4348.94, dw = -0.05676, nw = 1651 141016.0021.ec.fits: ap = 78, w1 = 4408.428, w2 = 4315.496, dw = -0.05632, nw = 1651 141016.0021.ec.fits: ap = 79, w1 = 4374.783, w2 = 4282.563, dw = -0.05589, nw = 1651 141016.0021.ec.fits: ap = 80, w1 = 4341.649, w2 = 4250.129, dw = -0.05547, nw = 1651 141016.0021.ec.fits: ap = 81, w1 = 4309.012, w2 = 4218.183, dw = -0.05505, nw = 1651 141016.0021.ec.fits: ap = 82, w1 = 4276.862, w2 = 4186.713, dw = -0.05464, nw = 1651 141016.0021.ec.fits: ap = 83, w1 = 4245.189, w2 = 4155.71, dw = -0.05423, nw = 1651 141016.0021.ec.fits: ap = 84, w1 = 4213.982, w2 = 4125.163, dw = -0.05383, nw = 1651 141016.0021.ec.fits: ap = 85, w1 = 4183.23, w2 = 4095.062, dw = -0.05344, nw = 1651 141016.0021.ec.fits: ap = 86, w1 = 4152.924, w2 = 4065.398, dw = -0.05305, nw = 1651 141016.0021.ec.fits: ap = 87, w1 = 4123.054, w2 = 4036.16, dw = -0.05266, nw = 1651 141016.0021.ec.fits: ap = 88, w1 = 4093.61, w2 = 4007.34, dw = -0.05228, nw = 1651 141016.0021.ec.fits: ap = 89, w1 = 4064.584, w2 = 3978.929, dw = -0.05191, nw = 1651 141016.0021.ec.fits: ap = 90, w1 = 4035.966, w2 = 3950.917, dw = -0.05154, nw = 1651 141016.0021.ec.fits: ap = 91, w1 = 4007.748, w2 = 3923.298, dw = -0.05118, nw = 1651 141016.0021.ec.fits: ap = 92, w1 = 3979.923, w2 = 3896.062, dw = -0.05082, nw = 1651 141016.0021.ec.fits: ap = 93, w1 = 3952.48, w2 = 3869.201, dw = -0.05047, nw = 1651 141016.0021.ec.fits: ap = 94, w1 = 3925.414, w2 = 3842.709, dw = -0.05012, nw = 1651 141016.0021.ec.fits: ap = 95, w1 = 3898.716, w2 = 3816.577, dw = -0.04978, nw = 1651 141016.0021.ec.fits: ap = 96, w1 = 3872.378, w2 = 3790.799, dw = -0.04944, nw = 1651 141016.0021.ec.fits: ap = 97, w1 = 3846.393, w2 = 3765.366, dw = -0.04911, nw = 1651 141016.0021.ec.fits: ap = 98, w1 = 3820.755, w2 = 3740.273, dw = -0.04878, nw = 1651 141016.0021.ec.fits: ap = 99, w1 = 3795.456, w2 = 3715.511, dw = -0.04845, nw = 1651 141016.0021.ec.fits: ap = 100, w1 = 3770.49, w2 = 3691.076, dw = -0.04813, nw = 1651 141016.0021.ec.fits: ap = 101, w1 = 3745.85, w2 = 3666.96, dw = -0.04781, nw = 1651 141016.0021.ec.fits: ap = 102, w1 = 3721.529, w2 = 3643.157, dw = -0.0475, nw = 1651 141016.0021.ec.fits: ap = 103, w1 = 3697.522, w2 = 3619.661, dw = -0.04719, nw = 1651 141016.0021.ec.fits: ap = 104, w1 = 3673.823, w2 = 3596.467, dw = -0.04688, nw = 1651 141016.0021.ec.fits: ap = 105, w1 = 3650.425, w2 = 3573.567, dw = -0.04658, nw = 1651 141016.0021.ec.fits: ap = 106, w1 = 3627.323, w2 = 3550.958, dw = -0.04628, nw = 1651 141016.0021.ec.fits: ap = 107, w1 = 3604.511, w2 = 3528.633, dw = -0.04599, nw = 1651 141016.0021.ec.fits: ap = 108, w1 = 3581.984, w2 = 3506.587, dw = -0.0457, nw = 1651 141016.0021.ec.fits: ap = 109, w1 = 3559.737, w2 = 3484.815, dw = -0.04541, nw = 1651 141016.0021.ec.fits: ap = 110, w1 = 3537.764, w2 = 3463.311, dw = -0.04512, nw = 1651 141016.0021.ec.fits: ap = 111, w1 = 3516.06, w2 = 3442.072, dw = -0.04484, nw = 1651 141016.0021.ec.fits: ap = 112, w1 = 3494.62, w2 = 3421.091, dw = -0.04456, nw = 1651 141016.0021.ec.fits: ap = 113, w1 = 3473.44, w2 = 3400.364, dw = -0.04429, nw = 1651 141016.0021.ec.fits: ap = 114, w1 = 3452.515, w2 = 3379.888, dw = -0.04402, nw = 1651 141016.0021.ec.fits: ap = 115, w1 = 3431.839, w2 = 3359.656, dw = -0.04375, nw = 1651 141016.0022.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 0.56808656' 141016.0022.ec.fits: REFSPEC2 = 'EchelleThAr.0024.ec 0.43191347' 141016.0022.ec.fits: ap = 1, w1 = 10811.88, w2 = 10583.72, dw = -0.13827, nw = 1651 141016.0022.ec.fits: ap = 2, w1 = 10611.67, w2 = 10387.75, dw = -0.13571, nw = 1651 141016.0022.ec.fits: ap = 3, w1 = 10418.75, w2 = 10198.9, dw = -0.13325, nw = 1651 141016.0022.ec.fits: ap = 4, w1 = 10232.72, w2 = 10016.79, dw = -0.13087, nw = 1651 141016.0022.ec.fits: ap = 5, w1 = 10053.22, w2 = 9841.078, dw = -0.12857, nw = 1651 141016.0022.ec.fits: ap = 6, w1 = 9879.903, w2 = 9671.421, dw = -0.12635, nw = 1651 141016.0022.ec.fits: ap = 7, w1 = 9712.462, w2 = 9507.515, dw = -0.12421, nw = 1651 141016.0022.ec.fits: ap = 8, w1 = 9550.603, w2 = 9349.072, dw = -0.12214, nw = 1651 141016.0022.ec.fits: ap = 9, w1 = 9394.051, w2 = 9195.825, dw = -0.12014, nw = 1651 141016.0022.ec.fits: ap = 10, w1 = 9242.547, w2 = 9047.52, dw = -0.1182, nw = 1651 141016.0022.ec.fits: ap = 11, w1 = 9095.853, w2 = 8903.923, dw = -0.11632, nw = 1651 141016.0022.ec.fits: ap = 12, w1 = 8953.743, w2 = 8764.814, dw = -0.1145, nw = 1651 141016.0022.ec.fits: ap = 13, w1 = 8816.006, w2 = 8629.985, dw = -0.11274, nw = 1651 141016.0022.ec.fits: ap = 14, w1 = 8682.442, w2 = 8499.241, dw = -0.11103, nw = 1651 141016.0022.ec.fits: ap = 15, w1 = 8552.865, w2 = 8372.4, dw = -0.10937, nw = 1651 141016.0022.ec.fits: ap = 16, w1 = 8427.099, w2 = 8249.29, dw = -0.10776, nw = 1651 141016.0022.ec.fits: ap = 17, w1 = 8304.978, w2 = 8129.748, dw = -0.1062, nw = 1651 141016.0022.ec.fits: ap = 18, w1 = 8186.346, w2 = 8013.621, dw = -0.10468, nw = 1651 141016.0022.ec.fits: ap = 19, w1 = 8071.056, w2 = 7900.765, dw = -0.10321, nw = 1651 141016.0022.ec.fits: ap = 20, w1 = 7958.968, w2 = 7791.045, dw = -0.10177, nw = 1651 141016.0022.ec.fits: ap = 21, w1 = 7849.951, w2 = 7684.33, dw = -0.10038, nw = 1651 141016.0022.ec.fits: ap = 22, w1 = 7743.88, w2 = 7580.5, dw = -0.09902, nw = 1651 141016.0022.ec.fits: ap = 23, w1 = 7640.638, w2 = 7479.438, dw = -0.0977, nw = 1651 141016.0022.ec.fits: ap = 24, w1 = 7540.113, w2 = 7381.036, dw = -0.09641, nw = 1651 141016.0022.ec.fits: ap = 25, w1 = 7442.198, w2 = 7285.189, dw = -0.09516, nw = 1651 141016.0022.ec.fits: ap = 26, w1 = 7346.795, w2 = 7191.801, dw = -0.09394, nw = 1651 141016.0022.ec.fits: ap = 27, w1 = 7253.806, w2 = 7100.776, dw = -0.09275, nw = 1651 141016.0022.ec.fits: ap = 28, w1 = 7163.142, w2 = 7012.027, dw = -0.09158, nw = 1651 141016.0022.ec.fits: ap = 29, w1 = 7074.717, w2 = 6925.47, dw = -0.09045, nw = 1651 141016.0022.ec.fits: ap = 30, w1 = 6988.449, w2 = 6841.024, dw = -0.08935, nw = 1651 141016.0022.ec.fits: ap = 31, w1 = 6904.259, w2 = 6758.612, dw = -0.08827, nw = 1651 141016.0022.ec.fits: ap = 32, w1 = 6822.074, w2 = 6678.163, dw = -0.08722, nw = 1651 141016.0022.ec.fits: ap = 33, w1 = 6741.823, w2 = 6599.607, dw = -0.08619, nw = 1651 141016.0022.ec.fits: ap = 34, w1 = 6663.438, w2 = 6522.878, dw = -0.08519, nw = 1651 141016.0022.ec.fits: ap = 35, w1 = 6586.855, w2 = 6447.912, dw = -0.08421, nw = 1651 141016.0022.ec.fits: ap = 36, w1 = 6512.013, w2 = 6374.651, dw = -0.08325, nw = 1651 141016.0022.ec.fits: ap = 37, w1 = 6438.853, w2 = 6303.036, dw = -0.08231, nw = 1651 141016.0022.ec.fits: ap = 38, w1 = 6367.319, w2 = 6233.013, dw = -0.0814, nw = 1651 141016.0022.ec.fits: ap = 39, w1 = 6297.357, w2 = 6164.528, dw = -0.0805, nw = 1651 141016.0022.ec.fits: ap = 40, w1 = 6228.915, w2 = 6097.532, dw = -0.07963, nw = 1651 141016.0022.ec.fits: ap = 41, w1 = 6161.946, w2 = 6031.977, dw = -0.07877, nw = 1651 141016.0022.ec.fits: ap = 42, w1 = 6096.402, w2 = 5967.817, dw = -0.07793, nw = 1651 141016.0022.ec.fits: ap = 43, w1 = 6032.237, w2 = 5905.008, dw = -0.07711, nw = 1651 141016.0022.ec.fits: ap = 44, w1 = 5969.41, w2 = 5843.508, dw = -0.0763, nw = 1651 141016.0022.ec.fits: ap = 45, w1 = 5907.878, w2 = 5783.275, dw = -0.07552, nw = 1651 141016.0022.ec.fits: ap = 46, w1 = 5847.602, w2 = 5724.272, dw = -0.07475, nw = 1651 141016.0022.ec.fits: ap = 47, w1 = 5788.543, w2 = 5666.461, dw = -0.07399, nw = 1651 141016.0022.ec.fits: ap = 48, w1 = 5730.666, w2 = 5609.806, dw = -0.07325, nw = 1651 141016.0022.ec.fits: ap = 49, w1 = 5673.935, w2 = 5554.273, dw = -0.07252, nw = 1651 141016.0022.ec.fits: ap = 50, w1 = 5618.317, w2 = 5499.829, dw = -0.07181, nw = 1651 141016.0022.ec.fits: ap = 51, w1 = 5563.779, w2 = 5446.443, dw = -0.07111, nw = 1651 141016.0022.ec.fits: ap = 52, w1 = 5510.289, w2 = 5394.083, dw = -0.07043, nw = 1651 141016.0022.ec.fits: ap = 53, w1 = 5457.819, w2 = 5342.721, dw = -0.06976, nw = 1651 141016.0022.ec.fits: ap = 54, w1 = 5406.338, w2 = 5292.327, dw = -0.0691, nw = 1651 141016.0022.ec.fits: ap = 55, w1 = 5355.82, w2 = 5242.876, dw = -0.06845, nw = 1651 141016.0022.ec.fits: ap = 56, w1 = 5306.238, w2 = 5194.341, dw = -0.06782, nw = 1651 141016.0022.ec.fits: ap = 57, w1 = 5257.566, w2 = 5146.696, dw = -0.06719, nw = 1651 141016.0022.ec.fits: ap = 58, w1 = 5209.778, w2 = 5099.918, dw = -0.06658, nw = 1651 141016.0022.ec.fits: ap = 59, w1 = 5162.852, w2 = 5053.982, dw = -0.06598, nw = 1651 141016.0022.ec.fits: ap = 60, w1 = 5116.764, w2 = 5008.867, dw = -0.06539, nw = 1651 141016.0022.ec.fits: ap = 61, w1 = 5071.491, w2 = 4964.551, dw = -0.06481, nw = 1651 141016.0022.ec.fits: ap = 62, w1 = 5027.013, w2 = 4921.012, dw = -0.06424, nw = 1651 141016.0022.ec.fits: ap = 63, w1 = 4983.309, w2 = 4878.231, dw = -0.06368, nw = 1651 141016.0022.ec.fits: ap = 64, w1 = 4940.358, w2 = 4836.187, dw = -0.06313, nw = 1651 141016.0022.ec.fits: ap = 65, w1 = 4898.141, w2 = 4794.862, dw = -0.06259, nw = 1651 141016.0022.ec.fits: ap = 66, w1 = 4856.64, w2 = 4754.237, dw = -0.06206, nw = 1651 141016.0022.ec.fits: ap = 67, w1 = 4815.837, w2 = 4714.296, dw = -0.06154, nw = 1651 141016.0022.ec.fits: ap = 68, w1 = 4775.714, w2 = 4675.02, dw = -0.06103, nw = 1651 141016.0022.ec.fits: ap = 69, w1 = 4736.254, w2 = 4636.393, dw = -0.06052, nw = 1651 141016.0022.ec.fits: ap = 70, w1 = 4697.441, w2 = 4598.4, dw = -0.06002, nw = 1651 141016.0022.ec.fits: ap = 71, w1 = 4659.259, w2 = 4561.024, dw = -0.05954, nw = 1651 141016.0022.ec.fits: ap = 72, w1 = 4621.693, w2 = 4524.252, dw = -0.05906, nw = 1651 141016.0022.ec.fits: ap = 73, w1 = 4584.728, w2 = 4488.068, dw = -0.05858, nw = 1651 141016.0022.ec.fits: ap = 74, w1 = 4548.35, w2 = 4452.458, dw = -0.05812, nw = 1651 141016.0022.ec.fits: ap = 75, w1 = 4512.545, w2 = 4417.409, dw = -0.05766, nw = 1651 141016.0022.ec.fits: ap = 76, w1 = 4477.299, w2 = 4382.908, dw = -0.05721, nw = 1651 141016.0022.ec.fits: ap = 77, w1 = 4442.6, w2 = 4348.942, dw = -0.05676, nw = 1651 141016.0022.ec.fits: ap = 78, w1 = 4408.435, w2 = 4315.499, dw = -0.05632, nw = 1651 141016.0022.ec.fits: ap = 79, w1 = 4374.791, w2 = 4282.566, dw = -0.05589, nw = 1651 141016.0022.ec.fits: ap = 80, w1 = 4341.658, w2 = 4250.132, dw = -0.05547, nw = 1651 141016.0022.ec.fits: ap = 81, w1 = 4309.022, w2 = 4218.187, dw = -0.05505, nw = 1651 141016.0022.ec.fits: ap = 82, w1 = 4276.873, w2 = 4186.717, dw = -0.05464, nw = 1651 141016.0022.ec.fits: ap = 83, w1 = 4245.201, w2 = 4155.714, dw = -0.05423, nw = 1651 141016.0022.ec.fits: ap = 84, w1 = 4213.995, w2 = 4125.168, dw = -0.05383, nw = 1651 141016.0022.ec.fits: ap = 85, w1 = 4183.244, w2 = 4095.067, dw = -0.05344, nw = 1651 141016.0022.ec.fits: ap = 86, w1 = 4152.939, w2 = 4065.403, dw = -0.05305, nw = 1651 141016.0022.ec.fits: ap = 87, w1 = 4123.07, w2 = 4036.165, dw = -0.05267, nw = 1651 141016.0022.ec.fits: ap = 88, w1 = 4093.627, w2 = 4007.346, dw = -0.05229, nw = 1651 141016.0022.ec.fits: ap = 89, w1 = 4064.603, w2 = 3978.935, dw = -0.05192, nw = 1651 141016.0022.ec.fits: ap = 90, w1 = 4035.986, w2 = 3950.924, dw = -0.05155, nw = 1651 141016.0022.ec.fits: ap = 91, w1 = 4007.77, w2 = 3923.305, dw = -0.05119, nw = 1651 141016.0022.ec.fits: ap = 92, w1 = 3979.946, w2 = 3896.069, dw = -0.05083, nw = 1651 141016.0022.ec.fits: ap = 93, w1 = 3952.505, w2 = 3869.21, dw = -0.05048, nw = 1651 141016.0022.ec.fits: ap = 94, w1 = 3925.441, w2 = 3842.718, dw = -0.05013, nw = 1651 141016.0022.ec.fits: ap = 95, w1 = 3898.744, w2 = 3816.587, dw = -0.04979, nw = 1651 141016.0022.ec.fits: ap = 96, w1 = 3872.409, w2 = 3790.809, dw = -0.04945, nw = 1651 141016.0022.ec.fits: ap = 97, w1 = 3846.426, w2 = 3765.377, dw = -0.04912, nw = 1651 141016.0022.ec.fits: ap = 98, w1 = 3820.79, w2 = 3740.285, dw = -0.04879, nw = 1651 141016.0022.ec.fits: ap = 99, w1 = 3795.494, w2 = 3715.524, dw = -0.04847, nw = 1651 141016.0022.ec.fits: ap = 100, w1 = 3770.53, w2 = 3691.09, dw = -0.04815, nw = 1651 141016.0022.ec.fits: ap = 101, w1 = 3745.892, w2 = 3666.974, dw = -0.04783, nw = 1651 141016.0022.ec.fits: ap = 102, w1 = 3721.574, w2 = 3643.173, dw = -0.04752, nw = 1651 141016.0022.ec.fits: ap = 103, w1 = 3697.57, w2 = 3619.678, dw = -0.04721, nw = 1651 141016.0022.ec.fits: ap = 104, w1 = 3673.874, w2 = 3596.484, dw = -0.0469, nw = 1651 141016.0022.ec.fits: ap = 105, w1 = 3650.479, w2 = 3573.586, dw = -0.0466, nw = 1651 141016.0022.ec.fits: ap = 106, w1 = 3627.38, w2 = 3550.978, dw = -0.0463, nw = 1651 141016.0022.ec.fits: ap = 107, w1 = 3604.572, w2 = 3528.654, dw = -0.04601, nw = 1651 141016.0022.ec.fits: ap = 108, w1 = 3582.048, w2 = 3506.609, dw = -0.04572, nw = 1651 141016.0022.ec.fits: ap = 109, w1 = 3559.804, w2 = 3484.838, dw = -0.04543, nw = 1651 141016.0022.ec.fits: ap = 110, w1 = 3537.835, w2 = 3463.336, dw = -0.04515, nw = 1651 141016.0022.ec.fits: ap = 111, w1 = 3516.135, w2 = 3442.098, dw = -0.04487, nw = 1651 141016.0022.ec.fits: ap = 112, w1 = 3494.699, w2 = 3421.119, dw = -0.04459, nw = 1651 141016.0022.ec.fits: ap = 113, w1 = 3473.523, w2 = 3400.394, dw = -0.04432, nw = 1651 141016.0022.ec.fits: ap = 114, w1 = 3452.602, w2 = 3379.918, dw = -0.04405, nw = 1651 141016.0022.ec.fits: ap = 115, w1 = 3431.931, w2 = 3359.688, dw = -0.04378, nw = 1651 141016.0023.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 0.21148406' 141016.0023.ec.fits: REFSPEC2 = 'EchelleThAr.0024.ec 0.78851593' 141016.0023.ec.fits: ap = 1, w1 = 10811.9, w2 = 10583.73, dw = -0.13828, nw = 1651 141016.0023.ec.fits: ap = 2, w1 = 10611.69, w2 = 10387.75, dw = -0.13572, nw = 1651 141016.0023.ec.fits: ap = 3, w1 = 10418.77, w2 = 10198.9, dw = -0.13325, nw = 1651 141016.0023.ec.fits: ap = 4, w1 = 10232.74, w2 = 10016.8, dw = -0.13087, nw = 1651 141016.0023.ec.fits: ap = 5, w1 = 10053.23, w2 = 9841.082, dw = -0.12857, nw = 1651 141016.0023.ec.fits: ap = 6, w1 = 9879.912, w2 = 9671.424, dw = -0.12636, nw = 1651 141016.0023.ec.fits: ap = 7, w1 = 9712.47, w2 = 9507.518, dw = -0.12421, nw = 1651 141016.0023.ec.fits: ap = 8, w1 = 9550.609, w2 = 9349.075, dw = -0.12214, nw = 1651 141016.0023.ec.fits: ap = 9, w1 = 9394.055, w2 = 9195.827, dw = -0.12014, nw = 1651 141016.0023.ec.fits: ap = 10, w1 = 9242.551, w2 = 9047.523, dw = -0.1182, nw = 1651 141016.0023.ec.fits: ap = 11, w1 = 9095.856, w2 = 8903.926, dw = -0.11632, nw = 1651 141016.0023.ec.fits: ap = 12, w1 = 8953.746, w2 = 8764.816, dw = -0.1145, nw = 1651 141016.0023.ec.fits: ap = 13, w1 = 8816.007, w2 = 8629.987, dw = -0.11274, nw = 1651 141016.0023.ec.fits: ap = 14, w1 = 8682.443, w2 = 8499.243, dw = -0.11103, nw = 1651 141016.0023.ec.fits: ap = 15, w1 = 8552.866, w2 = 8372.402, dw = -0.10937, nw = 1651 141016.0023.ec.fits: ap = 16, w1 = 8427.099, w2 = 8249.292, dw = -0.10776, nw = 1651 141016.0023.ec.fits: ap = 17, w1 = 8304.978, w2 = 8129.75, dw = -0.1062, nw = 1651 141016.0023.ec.fits: ap = 18, w1 = 8186.346, w2 = 8013.623, dw = -0.10468, nw = 1651 141016.0023.ec.fits: ap = 19, w1 = 8071.055, w2 = 7900.768, dw = -0.1032, nw = 1651 141016.0023.ec.fits: ap = 20, w1 = 7958.967, w2 = 7791.047, dw = -0.10177, nw = 1651 141016.0023.ec.fits: ap = 21, w1 = 7849.95, w2 = 7684.333, dw = -0.10037, nw = 1651 141016.0023.ec.fits: ap = 22, w1 = 7743.88, w2 = 7580.502, dw = -0.09902, nw = 1651 141016.0023.ec.fits: ap = 23, w1 = 7640.637, w2 = 7479.441, dw = -0.0977, nw = 1651 141016.0023.ec.fits: ap = 24, w1 = 7540.112, w2 = 7381.038, dw = -0.09641, nw = 1651 141016.0023.ec.fits: ap = 25, w1 = 7442.198, w2 = 7285.192, dw = -0.09516, nw = 1651 141016.0023.ec.fits: ap = 26, w1 = 7346.794, w2 = 7191.803, dw = -0.09393, nw = 1651 141016.0023.ec.fits: ap = 27, w1 = 7253.806, w2 = 7100.779, dw = -0.09274, nw = 1651 141016.0023.ec.fits: ap = 28, w1 = 7163.142, w2 = 7012.03, dw = -0.09158, nw = 1651 141016.0023.ec.fits: ap = 29, w1 = 7074.717, w2 = 6925.473, dw = -0.09045, nw = 1651 141016.0023.ec.fits: ap = 30, w1 = 6988.449, w2 = 6841.027, dw = -0.08935, nw = 1651 141016.0023.ec.fits: ap = 31, w1 = 6904.26, w2 = 6758.615, dw = -0.08827, nw = 1651 141016.0023.ec.fits: ap = 32, w1 = 6822.075, w2 = 6678.166, dw = -0.08722, nw = 1651 141016.0023.ec.fits: ap = 33, w1 = 6741.824, w2 = 6599.61, dw = -0.08619, nw = 1651 141016.0023.ec.fits: ap = 34, w1 = 6663.439, w2 = 6522.881, dw = -0.08519, nw = 1651 141016.0023.ec.fits: ap = 35, w1 = 6586.856, w2 = 6447.915, dw = -0.08421, nw = 1651 141016.0023.ec.fits: ap = 36, w1 = 6512.014, w2 = 6374.654, dw = -0.08325, nw = 1651 141016.0023.ec.fits: ap = 37, w1 = 6438.854, w2 = 6303.039, dw = -0.08231, nw = 1651 141016.0023.ec.fits: ap = 38, w1 = 6367.319, w2 = 6233.015, dw = -0.0814, nw = 1651 141016.0023.ec.fits: ap = 39, w1 = 6297.357, w2 = 6164.531, dw = -0.0805, nw = 1651 141016.0023.ec.fits: ap = 40, w1 = 6228.916, w2 = 6097.535, dw = -0.07962, nw = 1651 141016.0023.ec.fits: ap = 41, w1 = 6161.947, w2 = 6031.98, dw = -0.07877, nw = 1651 141016.0023.ec.fits: ap = 42, w1 = 6096.403, w2 = 5967.82, dw = -0.07793, nw = 1651 141016.0023.ec.fits: ap = 43, w1 = 6032.238, w2 = 5905.011, dw = -0.07711, nw = 1651 141016.0023.ec.fits: ap = 44, w1 = 5969.411, w2 = 5843.51, dw = -0.0763, nw = 1651 141016.0023.ec.fits: ap = 45, w1 = 5907.879, w2 = 5783.278, dw = -0.07552, nw = 1651 141016.0023.ec.fits: ap = 46, w1 = 5847.603, w2 = 5724.275, dw = -0.07474, nw = 1651 141016.0023.ec.fits: ap = 47, w1 = 5788.544, w2 = 5666.463, dw = -0.07399, nw = 1651 141016.0023.ec.fits: ap = 48, w1 = 5730.667, w2 = 5609.809, dw = -0.07325, nw = 1651 141016.0023.ec.fits: ap = 49, w1 = 5673.937, w2 = 5554.276, dw = -0.07252, nw = 1651 141016.0023.ec.fits: ap = 50, w1 = 5618.318, w2 = 5499.832, dw = -0.07181, nw = 1651 141016.0023.ec.fits: ap = 51, w1 = 5563.78, w2 = 5446.445, dw = -0.07111, nw = 1651 141016.0023.ec.fits: ap = 52, w1 = 5510.29, w2 = 5394.085, dw = -0.07043, nw = 1651 141016.0023.ec.fits: ap = 53, w1 = 5457.82, w2 = 5342.723, dw = -0.06976, nw = 1651 141016.0023.ec.fits: ap = 54, w1 = 5406.34, w2 = 5292.329, dw = -0.0691, nw = 1651 141016.0023.ec.fits: ap = 55, w1 = 5355.822, w2 = 5242.878, dw = -0.06845, nw = 1651 141016.0023.ec.fits: ap = 56, w1 = 5306.239, w2 = 5194.343, dw = -0.06782, nw = 1651 141016.0023.ec.fits: ap = 57, w1 = 5257.567, w2 = 5146.698, dw = -0.06719, nw = 1651 141016.0023.ec.fits: ap = 58, w1 = 5209.78, w2 = 5099.92, dw = -0.06658, nw = 1651 141016.0023.ec.fits: ap = 59, w1 = 5162.853, w2 = 5053.984, dw = -0.06598, nw = 1651 141016.0023.ec.fits: ap = 60, w1 = 5116.765, w2 = 5008.869, dw = -0.06539, nw = 1651 141016.0023.ec.fits: ap = 61, w1 = 5071.493, w2 = 4964.553, dw = -0.06481, nw = 1651 141016.0023.ec.fits: ap = 62, w1 = 5027.015, w2 = 4921.014, dw = -0.06424, nw = 1651 141016.0023.ec.fits: ap = 63, w1 = 4983.311, w2 = 4878.232, dw = -0.06368, nw = 1651 141016.0023.ec.fits: ap = 64, w1 = 4940.36, w2 = 4836.189, dw = -0.06313, nw = 1651 141016.0023.ec.fits: ap = 65, w1 = 4898.144, w2 = 4794.863, dw = -0.06259, nw = 1651 141016.0023.ec.fits: ap = 66, w1 = 4856.643, w2 = 4754.239, dw = -0.06206, nw = 1651 141016.0023.ec.fits: ap = 67, w1 = 4815.84, w2 = 4714.297, dw = -0.06154, nw = 1651 141016.0023.ec.fits: ap = 68, w1 = 4775.717, w2 = 4675.021, dw = -0.06103, nw = 1651 141016.0023.ec.fits: ap = 69, w1 = 4736.257, w2 = 4636.395, dw = -0.06052, nw = 1651 141016.0023.ec.fits: ap = 70, w1 = 4697.445, w2 = 4598.402, dw = -0.06003, nw = 1651 141016.0023.ec.fits: ap = 71, w1 = 4659.263, w2 = 4561.026, dw = -0.05954, nw = 1651 141016.0023.ec.fits: ap = 72, w1 = 4621.698, w2 = 4524.254, dw = -0.05906, nw = 1651 141016.0023.ec.fits: ap = 73, w1 = 4584.734, w2 = 4488.07, dw = -0.05858, nw = 1651 141016.0023.ec.fits: ap = 74, w1 = 4548.356, w2 = 4452.461, dw = -0.05812, nw = 1651 141016.0023.ec.fits: ap = 75, w1 = 4512.552, w2 = 4417.412, dw = -0.05766, nw = 1651 141016.0023.ec.fits: ap = 76, w1 = 4477.307, w2 = 4382.911, dw = -0.05721, nw = 1651 141016.0023.ec.fits: ap = 77, w1 = 4442.609, w2 = 4348.945, dw = -0.05677, nw = 1651 141016.0023.ec.fits: ap = 78, w1 = 4408.444, w2 = 4315.502, dw = -0.05633, nw = 1651 141016.0023.ec.fits: ap = 79, w1 = 4374.801, w2 = 4282.57, dw = -0.0559, nw = 1651 141016.0023.ec.fits: ap = 80, w1 = 4341.668, w2 = 4250.136, dw = -0.05547, nw = 1651 141016.0023.ec.fits: ap = 81, w1 = 4309.034, w2 = 4218.191, dw = -0.05506, nw = 1651 141016.0023.ec.fits: ap = 82, w1 = 4276.886, w2 = 4186.722, dw = -0.05465, nw = 1651 141016.0023.ec.fits: ap = 83, w1 = 4245.215, w2 = 4155.719, dw = -0.05424, nw = 1651 141016.0023.ec.fits: ap = 84, w1 = 4214.01, w2 = 4125.173, dw = -0.05384, nw = 1651 141016.0023.ec.fits: ap = 85, w1 = 4183.261, w2 = 4095.073, dw = -0.05345, nw = 1651 141016.0023.ec.fits: ap = 86, w1 = 4152.957, w2 = 4065.409, dw = -0.05306, nw = 1651 141016.0023.ec.fits: ap = 87, w1 = 4123.09, w2 = 4036.172, dw = -0.05268, nw = 1651 141016.0023.ec.fits: ap = 88, w1 = 4093.649, w2 = 4007.353, dw = -0.0523, nw = 1651 141016.0023.ec.fits: ap = 89, w1 = 4064.626, w2 = 3978.943, dw = -0.05193, nw = 1651 141016.0023.ec.fits: ap = 90, w1 = 4036.011, w2 = 3950.932, dw = -0.05156, nw = 1651 141016.0023.ec.fits: ap = 91, w1 = 4007.797, w2 = 3923.314, dw = -0.0512, nw = 1651 141016.0023.ec.fits: ap = 92, w1 = 3979.975, w2 = 3896.079, dw = -0.05085, nw = 1651 141016.0023.ec.fits: ap = 93, w1 = 3952.537, w2 = 3869.221, dw = -0.05049, nw = 1651 141016.0023.ec.fits: ap = 94, w1 = 3925.475, w2 = 3842.73, dw = -0.05015, nw = 1651 141016.0023.ec.fits: ap = 95, w1 = 3898.781, w2 = 3816.6, dw = -0.04981, nw = 1651 141016.0023.ec.fits: ap = 96, w1 = 3872.448, w2 = 3790.822, dw = -0.04947, nw = 1651 141016.0023.ec.fits: ap = 97, w1 = 3846.468, w2 = 3765.391, dw = -0.04914, nw = 1651 141016.0023.ec.fits: ap = 98, w1 = 3820.835, w2 = 3740.3, dw = -0.04881, nw = 1651 141016.0023.ec.fits: ap = 99, w1 = 3795.541, w2 = 3715.54, dw = -0.04849, nw = 1651 141016.0023.ec.fits: ap = 100, w1 = 3770.58, w2 = 3691.107, dw = -0.04817, nw = 1651 141016.0023.ec.fits: ap = 101, w1 = 3745.946, w2 = 3666.993, dw = -0.04785, nw = 1651 141016.0023.ec.fits: ap = 102, w1 = 3721.632, w2 = 3643.192, dw = -0.04754, nw = 1651 141016.0023.ec.fits: ap = 103, w1 = 3697.631, w2 = 3619.699, dw = -0.04723, nw = 1651 141016.0023.ec.fits: ap = 104, w1 = 3673.938, w2 = 3596.506, dw = -0.04693, nw = 1651 141016.0023.ec.fits: ap = 105, w1 = 3650.547, w2 = 3573.61, dw = -0.04663, nw = 1651 141016.0023.ec.fits: ap = 106, w1 = 3627.452, w2 = 3551.003, dw = -0.04633, nw = 1651 141016.0023.ec.fits: ap = 107, w1 = 3604.648, w2 = 3528.681, dw = -0.04604, nw = 1651 141016.0023.ec.fits: ap = 108, w1 = 3582.129, w2 = 3506.637, dw = -0.04575, nw = 1651 141016.0023.ec.fits: ap = 109, w1 = 3559.89, w2 = 3484.868, dw = -0.04547, nw = 1651 141016.0023.ec.fits: ap = 110, w1 = 3537.925, w2 = 3463.368, dw = -0.04519, nw = 1651 141016.0023.ec.fits: ap = 111, w1 = 3516.23, w2 = 3442.131, dw = -0.04491, nw = 1651 141016.0023.ec.fits: ap = 112, w1 = 3494.799, w2 = 3421.154, dw = -0.04463, nw = 1651 141016.0023.ec.fits: ap = 113, w1 = 3473.628, w2 = 3400.431, dw = -0.04436, nw = 1651 141016.0023.ec.fits: ap = 114, w1 = 3452.713, w2 = 3379.957, dw = -0.04409, nw = 1651 141016.0023.ec.fits: ap = 115, w1 = 3432.047, w2 = 3359.729, dw = -0.04383, nw = 1651 141016.0025.ec.fits: REFSPEC1 = 'EchelleThAr.0024.ec 0.8338564' 141016.0025.ec.fits: REFSPEC2 = 'EchelleThAr.0028.ec 0.16614363' 141016.0025.ec.fits: ap = 1, w1 = 10811.91, w2 = 10583.73, dw = -0.13829, nw = 1651 141016.0025.ec.fits: ap = 2, w1 = 10611.71, w2 = 10387.75, dw = -0.13573, nw = 1651 141016.0025.ec.fits: ap = 3, w1 = 10418.78, w2 = 10198.9, dw = -0.13326, nw = 1651 141016.0025.ec.fits: ap = 4, w1 = 10232.74, w2 = 10016.8, dw = -0.13088, nw = 1651 141016.0025.ec.fits: ap = 5, w1 = 10053.24, w2 = 9841.081, dw = -0.12858, nw = 1651 141016.0025.ec.fits: ap = 6, w1 = 9879.918, w2 = 9671.424, dw = -0.12636, nw = 1651 141016.0025.ec.fits: ap = 7, w1 = 9712.474, w2 = 9507.517, dw = -0.12422, nw = 1651 141016.0025.ec.fits: ap = 8, w1 = 9550.612, w2 = 9349.074, dw = -0.12214, nw = 1651 141016.0025.ec.fits: ap = 9, w1 = 9394.057, w2 = 9195.826, dw = -0.12014, nw = 1651 141016.0025.ec.fits: ap = 10, w1 = 9242.552, w2 = 9047.521, dw = -0.1182, nw = 1651 141016.0025.ec.fits: ap = 11, w1 = 9095.856, w2 = 8903.924, dw = -0.11632, nw = 1651 141016.0025.ec.fits: ap = 12, w1 = 8953.745, w2 = 8764.814, dw = -0.1145, nw = 1651 141016.0025.ec.fits: ap = 13, w1 = 8816.006, w2 = 8629.985, dw = -0.11274, nw = 1651 141016.0025.ec.fits: ap = 14, w1 = 8682.442, w2 = 8499.241, dw = -0.11103, nw = 1651 141016.0025.ec.fits: ap = 15, w1 = 8552.863, w2 = 8372.399, dw = -0.10937, nw = 1651 141016.0025.ec.fits: ap = 16, w1 = 8427.096, w2 = 8249.289, dw = -0.10776, nw = 1651 141016.0025.ec.fits: ap = 17, w1 = 8304.975, w2 = 8129.747, dw = -0.1062, nw = 1651 141016.0025.ec.fits: ap = 18, w1 = 8186.343, w2 = 8013.621, dw = -0.10468, nw = 1651 141016.0025.ec.fits: ap = 19, w1 = 8071.052, w2 = 7900.765, dw = -0.1032, nw = 1651 141016.0025.ec.fits: ap = 20, w1 = 7958.965, w2 = 7791.045, dw = -0.10177, nw = 1651 141016.0025.ec.fits: ap = 21, w1 = 7849.948, w2 = 7684.33, dw = -0.10037, nw = 1651 141016.0025.ec.fits: ap = 22, w1 = 7743.877, w2 = 7580.5, dw = -0.09902, nw = 1651 141016.0025.ec.fits: ap = 23, w1 = 7640.635, w2 = 7479.438, dw = -0.09769, nw = 1651 141016.0025.ec.fits: ap = 24, w1 = 7540.11, w2 = 7381.036, dw = -0.09641, nw = 1651 141016.0025.ec.fits: ap = 25, w1 = 7442.196, w2 = 7285.19, dw = -0.09515, nw = 1651 141016.0025.ec.fits: ap = 26, w1 = 7346.792, w2 = 7191.802, dw = -0.09393, nw = 1651 141016.0025.ec.fits: ap = 27, w1 = 7253.804, w2 = 7100.777, dw = -0.09274, nw = 1651 141016.0025.ec.fits: ap = 28, w1 = 7163.14, w2 = 7012.029, dw = -0.09158, nw = 1651 141016.0025.ec.fits: ap = 29, w1 = 7074.716, w2 = 6925.471, dw = -0.09045, nw = 1651 141016.0025.ec.fits: ap = 30, w1 = 6988.448, w2 = 6841.025, dw = -0.08935, nw = 1651 141016.0025.ec.fits: ap = 31, w1 = 6904.258, w2 = 6758.614, dw = -0.08827, nw = 1651 141016.0025.ec.fits: ap = 32, w1 = 6822.073, w2 = 6678.165, dw = -0.08722, nw = 1651 141016.0025.ec.fits: ap = 33, w1 = 6741.822, w2 = 6599.609, dw = -0.08619, nw = 1651 141016.0025.ec.fits: ap = 34, w1 = 6663.438, w2 = 6522.879, dw = -0.08519, nw = 1651 141016.0025.ec.fits: ap = 35, w1 = 6586.855, w2 = 6447.914, dw = -0.08421, nw = 1651 141016.0025.ec.fits: ap = 36, w1 = 6512.013, w2 = 6374.653, dw = -0.08325, nw = 1651 141016.0025.ec.fits: ap = 37, w1 = 6438.853, w2 = 6303.038, dw = -0.08231, nw = 1651 141016.0025.ec.fits: ap = 38, w1 = 6367.319, w2 = 6233.014, dw = -0.0814, nw = 1651 141016.0025.ec.fits: ap = 39, w1 = 6297.356, w2 = 6164.529, dw = -0.0805, nw = 1651 141016.0025.ec.fits: ap = 40, w1 = 6228.915, w2 = 6097.534, dw = -0.07963, nw = 1651 141016.0025.ec.fits: ap = 41, w1 = 6161.946, w2 = 6031.979, dw = -0.07877, nw = 1651 141016.0025.ec.fits: ap = 42, w1 = 6096.403, w2 = 5967.82, dw = -0.07793, nw = 1651 141016.0025.ec.fits: ap = 43, w1 = 6032.239, w2 = 5905.01, dw = -0.07711, nw = 1651 141016.0025.ec.fits: ap = 44, w1 = 5969.411, w2 = 5843.51, dw = -0.0763, nw = 1651 141016.0025.ec.fits: ap = 45, w1 = 5907.879, w2 = 5783.277, dw = -0.07552, nw = 1651 141016.0025.ec.fits: ap = 46, w1 = 5847.603, w2 = 5724.274, dw = -0.07474, nw = 1651 141016.0025.ec.fits: ap = 47, w1 = 5788.545, w2 = 5666.463, dw = -0.07399, nw = 1651 141016.0025.ec.fits: ap = 48, w1 = 5730.668, w2 = 5609.808, dw = -0.07325, nw = 1651 141016.0025.ec.fits: ap = 49, w1 = 5673.937, w2 = 5554.275, dw = -0.07252, nw = 1651 141016.0025.ec.fits: ap = 50, w1 = 5618.319, w2 = 5499.832, dw = -0.07181, nw = 1651 141016.0025.ec.fits: ap = 51, w1 = 5563.78, w2 = 5446.445, dw = -0.07111, nw = 1651 141016.0025.ec.fits: ap = 52, w1 = 5510.291, w2 = 5394.085, dw = -0.07043, nw = 1651 141016.0025.ec.fits: ap = 53, w1 = 5457.82, w2 = 5342.723, dw = -0.06976, nw = 1651 141016.0025.ec.fits: ap = 54, w1 = 5406.34, w2 = 5292.329, dw = -0.0691, nw = 1651 141016.0025.ec.fits: ap = 55, w1 = 5355.822, w2 = 5242.878, dw = -0.06845, nw = 1651 141016.0025.ec.fits: ap = 56, w1 = 5306.24, w2 = 5194.343, dw = -0.06782, nw = 1651 141016.0025.ec.fits: ap = 57, w1 = 5257.567, w2 = 5146.698, dw = -0.06719, nw = 1651 141016.0025.ec.fits: ap = 58, w1 = 5209.78, w2 = 5099.92, dw = -0.06658, nw = 1651 141016.0025.ec.fits: ap = 59, w1 = 5162.853, w2 = 5053.984, dw = -0.06598, nw = 1651 141016.0025.ec.fits: ap = 60, w1 = 5116.765, w2 = 5008.869, dw = -0.06539, nw = 1651 141016.0025.ec.fits: ap = 61, w1 = 5071.493, w2 = 4964.553, dw = -0.06481, nw = 1651 141016.0025.ec.fits: ap = 62, w1 = 5027.015, w2 = 4921.014, dw = -0.06424, nw = 1651 141016.0025.ec.fits: ap = 63, w1 = 4983.31, w2 = 4878.232, dw = -0.06368, nw = 1651 141016.0025.ec.fits: ap = 64, w1 = 4940.36, w2 = 4836.188, dw = -0.06313, nw = 1651 141016.0025.ec.fits: ap = 65, w1 = 4898.143, w2 = 4794.863, dw = -0.06259, nw = 1651 141016.0025.ec.fits: ap = 66, w1 = 4856.643, w2 = 4754.239, dw = -0.06206, nw = 1651 141016.0025.ec.fits: ap = 67, w1 = 4815.84, w2 = 4714.297, dw = -0.06154, nw = 1651 141016.0025.ec.fits: ap = 68, w1 = 4775.717, w2 = 4675.021, dw = -0.06103, nw = 1651 141016.0025.ec.fits: ap = 69, w1 = 4736.257, w2 = 4636.395, dw = -0.06052, nw = 1651 141016.0025.ec.fits: ap = 70, w1 = 4697.445, w2 = 4598.402, dw = -0.06003, nw = 1651 141016.0025.ec.fits: ap = 71, w1 = 4659.263, w2 = 4561.026, dw = -0.05954, nw = 1651 141016.0025.ec.fits: ap = 72, w1 = 4621.698, w2 = 4524.254, dw = -0.05906, nw = 1651 141016.0025.ec.fits: ap = 73, w1 = 4584.734, w2 = 4488.07, dw = -0.05858, nw = 1651 141016.0025.ec.fits: ap = 74, w1 = 4548.357, w2 = 4452.46, dw = -0.05812, nw = 1651 141016.0025.ec.fits: ap = 75, w1 = 4512.552, w2 = 4417.412, dw = -0.05766, nw = 1651 141016.0025.ec.fits: ap = 76, w1 = 4477.308, w2 = 4382.911, dw = -0.05721, nw = 1651 141016.0025.ec.fits: ap = 77, w1 = 4442.61, w2 = 4348.945, dw = -0.05677, nw = 1651 141016.0025.ec.fits: ap = 78, w1 = 4408.445, w2 = 4315.502, dw = -0.05633, nw = 1651 141016.0025.ec.fits: ap = 79, w1 = 4374.803, w2 = 4282.569, dw = -0.0559, nw = 1651 141016.0025.ec.fits: ap = 80, w1 = 4341.671, w2 = 4250.136, dw = -0.05548, nw = 1651 141016.0025.ec.fits: ap = 81, w1 = 4309.036, w2 = 4218.19, dw = -0.05506, nw = 1651 141016.0025.ec.fits: ap = 82, w1 = 4276.89, w2 = 4186.722, dw = -0.05465, nw = 1651 141016.0025.ec.fits: ap = 83, w1 = 4245.219, w2 = 4155.72, dw = -0.05424, nw = 1651 141016.0025.ec.fits: ap = 84, w1 = 4214.014, w2 = 4125.173, dw = -0.05384, nw = 1651 141016.0025.ec.fits: ap = 85, w1 = 4183.266, w2 = 4095.073, dw = -0.05345, nw = 1651 141016.0025.ec.fits: ap = 86, w1 = 4152.963, w2 = 4065.409, dw = -0.05306, nw = 1651 141016.0025.ec.fits: ap = 87, w1 = 4123.096, w2 = 4036.172, dw = -0.05268, nw = 1651 141016.0025.ec.fits: ap = 88, w1 = 4093.656, w2 = 4007.353, dw = -0.0523, nw = 1651 141016.0025.ec.fits: ap = 89, w1 = 4064.633, w2 = 3978.943, dw = -0.05193, nw = 1651 141016.0025.ec.fits: ap = 90, w1 = 4036.02, w2 = 3950.933, dw = -0.05157, nw = 1651 141016.0025.ec.fits: ap = 91, w1 = 4007.807, w2 = 3923.314, dw = -0.05121, nw = 1651 141016.0025.ec.fits: ap = 92, w1 = 3979.986, w2 = 3896.08, dw = -0.05085, nw = 1651 141016.0025.ec.fits: ap = 93, w1 = 3952.549, w2 = 3869.221, dw = -0.0505, nw = 1651 141016.0025.ec.fits: ap = 94, w1 = 3925.488, w2 = 3842.73, dw = -0.05016, nw = 1651 141016.0025.ec.fits: ap = 95, w1 = 3898.795, w2 = 3816.6, dw = -0.04981, nw = 1651 141016.0025.ec.fits: ap = 96, w1 = 3872.463, w2 = 3790.823, dw = -0.04948, nw = 1651 141016.0025.ec.fits: ap = 97, w1 = 3846.485, w2 = 3765.393, dw = -0.04915, nw = 1651 141016.0025.ec.fits: ap = 98, w1 = 3820.853, w2 = 3740.301, dw = -0.04882, nw = 1651 141016.0025.ec.fits: ap = 99, w1 = 3795.561, w2 = 3715.542, dw = -0.0485, nw = 1651 141016.0025.ec.fits: ap = 100, w1 = 3770.602, w2 = 3691.108, dw = -0.04818, nw = 1651 141016.0025.ec.fits: ap = 101, w1 = 3745.97, w2 = 3666.995, dw = -0.04786, nw = 1651 141016.0025.ec.fits: ap = 102, w1 = 3721.657, w2 = 3643.194, dw = -0.04755, nw = 1651 141016.0025.ec.fits: ap = 103, w1 = 3697.659, w2 = 3619.701, dw = -0.04725, nw = 1651 141016.0025.ec.fits: ap = 104, w1 = 3673.968, w2 = 3596.509, dw = -0.04694, nw = 1651 141016.0025.ec.fits: ap = 105, w1 = 3650.579, w2 = 3573.612, dw = -0.04665, nw = 1651 141016.0025.ec.fits: ap = 106, w1 = 3627.487, w2 = 3551.006, dw = -0.04635, nw = 1651 141016.0025.ec.fits: ap = 107, w1 = 3604.685, w2 = 3528.684, dw = -0.04606, nw = 1651 141016.0025.ec.fits: ap = 108, w1 = 3582.168, w2 = 3506.641, dw = -0.04577, nw = 1651 141016.0025.ec.fits: ap = 109, w1 = 3559.932, w2 = 3484.872, dw = -0.04549, nw = 1651 141016.0025.ec.fits: ap = 110, w1 = 3537.97, w2 = 3463.372, dw = -0.04521, nw = 1651 141016.0025.ec.fits: ap = 111, w1 = 3516.277, w2 = 3442.135, dw = -0.04493, nw = 1651 141016.0025.ec.fits: ap = 112, w1 = 3494.85, w2 = 3421.158, dw = -0.04466, nw = 1651 141016.0025.ec.fits: ap = 113, w1 = 3473.682, w2 = 3400.436, dw = -0.04439, nw = 1651 141016.0025.ec.fits: ap = 114, w1 = 3452.769, w2 = 3379.963, dw = -0.04413, nw = 1651 141016.0025.ec.fits: ap = 115, w1 = 3432.108, w2 = 3359.735, dw = -0.04386, nw = 1651 141016.0026.ec.fits: REFSPEC1 = 'EchelleThAr.0024.ec 0.48605376' 141016.0026.ec.fits: REFSPEC2 = 'EchelleThAr.0028.ec 0.51394624' 141016.0026.ec.fits: ap = 1, w1 = 10811.92, w2 = 10583.73, dw = -0.1383, nw = 1651 141016.0026.ec.fits: ap = 2, w1 = 10611.71, w2 = 10387.75, dw = -0.13573, nw = 1651 141016.0026.ec.fits: ap = 3, w1 = 10418.78, w2 = 10198.9, dw = -0.13326, nw = 1651 141016.0026.ec.fits: ap = 4, w1 = 10232.75, w2 = 10016.79, dw = -0.13088, nw = 1651 141016.0026.ec.fits: ap = 5, w1 = 10053.24, w2 = 9841.075, dw = -0.12858, nw = 1651 141016.0026.ec.fits: ap = 6, w1 = 9879.917, w2 = 9671.418, dw = -0.12636, nw = 1651 141016.0026.ec.fits: ap = 7, w1 = 9712.473, w2 = 9507.511, dw = -0.12422, nw = 1651 141016.0026.ec.fits: ap = 8, w1 = 9550.61, w2 = 9349.068, dw = -0.12215, nw = 1651 141016.0026.ec.fits: ap = 9, w1 = 9394.054, w2 = 9195.819, dw = -0.12014, nw = 1651 141016.0026.ec.fits: ap = 10, w1 = 9242.549, w2 = 9047.514, dw = -0.1182, nw = 1651 141016.0026.ec.fits: ap = 11, w1 = 9095.853, w2 = 8903.917, dw = -0.11632, nw = 1651 141016.0026.ec.fits: ap = 12, w1 = 8953.741, w2 = 8764.808, dw = -0.11451, nw = 1651 141016.0026.ec.fits: ap = 13, w1 = 8816.002, w2 = 8629.978, dw = -0.11274, nw = 1651 141016.0026.ec.fits: ap = 14, w1 = 8682.437, w2 = 8499.234, dw = -0.11103, nw = 1651 141016.0026.ec.fits: ap = 15, w1 = 8552.859, w2 = 8372.393, dw = -0.10937, nw = 1651 141016.0026.ec.fits: ap = 16, w1 = 8427.092, w2 = 8249.283, dw = -0.10776, nw = 1651 141016.0026.ec.fits: ap = 17, w1 = 8304.971, w2 = 8129.741, dw = -0.1062, nw = 1651 141016.0026.ec.fits: ap = 18, w1 = 8186.339, w2 = 8013.614, dw = -0.10468, nw = 1651 141016.0026.ec.fits: ap = 19, w1 = 8071.048, w2 = 7900.759, dw = -0.10321, nw = 1651 141016.0026.ec.fits: ap = 20, w1 = 7958.961, w2 = 7791.038, dw = -0.10177, nw = 1651 141016.0026.ec.fits: ap = 21, w1 = 7849.944, w2 = 7684.324, dw = -0.10038, nw = 1651 141016.0026.ec.fits: ap = 22, w1 = 7743.873, w2 = 7580.493, dw = -0.09902, nw = 1651 141016.0026.ec.fits: ap = 23, w1 = 7640.631, w2 = 7479.432, dw = -0.0977, nw = 1651 141016.0026.ec.fits: ap = 24, w1 = 7540.106, w2 = 7381.03, dw = -0.09641, nw = 1651 141016.0026.ec.fits: ap = 25, w1 = 7442.192, w2 = 7285.184, dw = -0.09516, nw = 1651 141016.0026.ec.fits: ap = 26, w1 = 7346.789, w2 = 7191.795, dw = -0.09394, nw = 1651 141016.0026.ec.fits: ap = 27, w1 = 7253.801, w2 = 7100.771, dw = -0.09275, nw = 1651 141016.0026.ec.fits: ap = 28, w1 = 7163.138, w2 = 7012.022, dw = -0.09159, nw = 1651 141016.0026.ec.fits: ap = 29, w1 = 7074.713, w2 = 6925.465, dw = -0.09045, nw = 1651 141016.0026.ec.fits: ap = 30, w1 = 6988.445, w2 = 6841.019, dw = -0.08935, nw = 1651 141016.0026.ec.fits: ap = 31, w1 = 6904.256, w2 = 6758.608, dw = -0.08827, nw = 1651 141016.0026.ec.fits: ap = 32, w1 = 6822.072, w2 = 6678.159, dw = -0.08722, nw = 1651 141016.0026.ec.fits: ap = 33, w1 = 6741.821, w2 = 6599.603, dw = -0.08619, nw = 1651 141016.0026.ec.fits: ap = 34, w1 = 6663.436, w2 = 6522.874, dw = -0.08519, nw = 1651 141016.0026.ec.fits: ap = 35, w1 = 6586.854, w2 = 6447.909, dw = -0.08421, nw = 1651 141016.0026.ec.fits: ap = 36, w1 = 6512.012, w2 = 6374.647, dw = -0.08325, nw = 1651 141016.0026.ec.fits: ap = 37, w1 = 6438.852, w2 = 6303.033, dw = -0.08231, nw = 1651 141016.0026.ec.fits: ap = 38, w1 = 6367.318, w2 = 6233.009, dw = -0.0814, nw = 1651 141016.0026.ec.fits: ap = 39, w1 = 6297.356, w2 = 6164.525, dw = -0.0805, nw = 1651 141016.0026.ec.fits: ap = 40, w1 = 6228.915, w2 = 6097.529, dw = -0.07963, nw = 1651 141016.0026.ec.fits: ap = 41, w1 = 6161.946, w2 = 6031.974, dw = -0.07877, nw = 1651 141016.0026.ec.fits: ap = 42, w1 = 6096.402, w2 = 5967.815, dw = -0.07793, nw = 1651 141016.0026.ec.fits: ap = 43, w1 = 6032.238, w2 = 5905.006, dw = -0.07711, nw = 1651 141016.0026.ec.fits: ap = 44, w1 = 5969.411, w2 = 5843.506, dw = -0.07631, nw = 1651 141016.0026.ec.fits: ap = 45, w1 = 5907.879, w2 = 5783.273, dw = -0.07552, nw = 1651 141016.0026.ec.fits: ap = 46, w1 = 5847.603, w2 = 5724.27, dw = -0.07475, nw = 1651 141016.0026.ec.fits: ap = 47, w1 = 5788.544, w2 = 5666.459, dw = -0.07399, nw = 1651 141016.0026.ec.fits: ap = 48, w1 = 5730.667, w2 = 5609.805, dw = -0.07325, nw = 1651 141016.0026.ec.fits: ap = 49, w1 = 5673.936, w2 = 5554.272, dw = -0.07252, nw = 1651 141016.0026.ec.fits: ap = 50, w1 = 5618.318, w2 = 5499.828, dw = -0.07181, nw = 1651 141016.0026.ec.fits: ap = 51, w1 = 5563.78, w2 = 5446.442, dw = -0.07111, nw = 1651 141016.0026.ec.fits: ap = 52, w1 = 5510.29, w2 = 5394.082, dw = -0.07043, nw = 1651 141016.0026.ec.fits: ap = 53, w1 = 5457.819, w2 = 5342.72, dw = -0.06976, nw = 1651 141016.0026.ec.fits: ap = 54, w1 = 5406.339, w2 = 5292.326, dw = -0.0691, nw = 1651 141016.0026.ec.fits: ap = 55, w1 = 5355.821, w2 = 5242.875, dw = -0.06845, nw = 1651 141016.0026.ec.fits: ap = 56, w1 = 5306.238, w2 = 5194.34, dw = -0.06782, nw = 1651 141016.0026.ec.fits: ap = 57, w1 = 5257.566, w2 = 5146.695, dw = -0.06719, nw = 1651 141016.0026.ec.fits: ap = 58, w1 = 5209.778, w2 = 5099.917, dw = -0.06658, nw = 1651 141016.0026.ec.fits: ap = 59, w1 = 5162.851, w2 = 5053.982, dw = -0.06598, nw = 1651 141016.0026.ec.fits: ap = 60, w1 = 5116.763, w2 = 5008.867, dw = -0.06539, nw = 1651 141016.0026.ec.fits: ap = 61, w1 = 5071.49, w2 = 4964.55, dw = -0.06481, nw = 1651 141016.0026.ec.fits: ap = 62, w1 = 5027.012, w2 = 4921.011, dw = -0.06424, nw = 1651 141016.0026.ec.fits: ap = 63, w1 = 4983.308, w2 = 4878.23, dw = -0.06368, nw = 1651 141016.0026.ec.fits: ap = 64, w1 = 4940.357, w2 = 4836.186, dw = -0.06313, nw = 1651 141016.0026.ec.fits: ap = 65, w1 = 4898.14, w2 = 4794.861, dw = -0.06259, nw = 1651 141016.0026.ec.fits: ap = 66, w1 = 4856.639, w2 = 4754.236, dw = -0.06206, nw = 1651 141016.0026.ec.fits: ap = 67, w1 = 4815.836, w2 = 4714.295, dw = -0.06154, nw = 1651 141016.0026.ec.fits: ap = 68, w1 = 4775.712, w2 = 4675.019, dw = -0.06103, nw = 1651 141016.0026.ec.fits: ap = 69, w1 = 4736.252, w2 = 4636.392, dw = -0.06052, nw = 1651 141016.0026.ec.fits: ap = 70, w1 = 4697.439, w2 = 4598.399, dw = -0.06002, nw = 1651 141016.0026.ec.fits: ap = 71, w1 = 4659.258, w2 = 4561.023, dw = -0.05954, nw = 1651 141016.0026.ec.fits: ap = 72, w1 = 4621.692, w2 = 4524.251, dw = -0.05906, nw = 1651 141016.0026.ec.fits: ap = 73, w1 = 4584.727, w2 = 4488.067, dw = -0.05858, nw = 1651 141016.0026.ec.fits: ap = 74, w1 = 4548.35, w2 = 4452.457, dw = -0.05812, nw = 1651 141016.0026.ec.fits: ap = 75, w1 = 4512.545, w2 = 4417.408, dw = -0.05766, nw = 1651 141016.0026.ec.fits: ap = 76, w1 = 4477.3, w2 = 4382.907, dw = -0.05721, nw = 1651 141016.0026.ec.fits: ap = 77, w1 = 4442.602, w2 = 4348.941, dw = -0.05676, nw = 1651 141016.0026.ec.fits: ap = 78, w1 = 4408.437, w2 = 4315.498, dw = -0.05633, nw = 1651 141016.0026.ec.fits: ap = 79, w1 = 4374.794, w2 = 4282.565, dw = -0.0559, nw = 1651 141016.0026.ec.fits: ap = 80, w1 = 4341.661, w2 = 4250.131, dw = -0.05547, nw = 1651 141016.0026.ec.fits: ap = 81, w1 = 4309.027, w2 = 4218.185, dw = -0.05506, nw = 1651 141016.0026.ec.fits: ap = 82, w1 = 4276.879, w2 = 4186.716, dw = -0.05464, nw = 1651 141016.0026.ec.fits: ap = 83, w1 = 4245.208, w2 = 4155.713, dw = -0.05424, nw = 1651 141016.0026.ec.fits: ap = 84, w1 = 4214.003, w2 = 4125.167, dw = -0.05384, nw = 1651 141016.0026.ec.fits: ap = 85, w1 = 4183.254, w2 = 4095.066, dw = -0.05345, nw = 1651 141016.0026.ec.fits: ap = 86, w1 = 4152.951, w2 = 4065.401, dw = -0.05306, nw = 1651 141016.0026.ec.fits: ap = 87, w1 = 4123.083, w2 = 4036.164, dw = -0.05268, nw = 1651 141016.0026.ec.fits: ap = 88, w1 = 4093.643, w2 = 4007.344, dw = -0.0523, nw = 1651 141016.0026.ec.fits: ap = 89, w1 = 4064.62, w2 = 3978.933, dw = -0.05193, nw = 1651 141016.0026.ec.fits: ap = 90, w1 = 4036.006, w2 = 3950.923, dw = -0.05157, nw = 1651 141016.0026.ec.fits: ap = 91, w1 = 4007.793, w2 = 3923.304, dw = -0.05121, nw = 1651 141016.0026.ec.fits: ap = 92, w1 = 3979.972, w2 = 3896.068, dw = -0.05085, nw = 1651 141016.0026.ec.fits: ap = 93, w1 = 3952.534, w2 = 3869.209, dw = -0.0505, nw = 1651 141016.0026.ec.fits: ap = 94, w1 = 3925.473, w2 = 3842.718, dw = -0.05015, nw = 1651 141016.0026.ec.fits: ap = 95, w1 = 3898.78, w2 = 3816.587, dw = -0.04981, nw = 1651 141016.0026.ec.fits: ap = 96, w1 = 3872.447, w2 = 3790.809, dw = -0.04948, nw = 1651 141016.0026.ec.fits: ap = 97, w1 = 3846.469, w2 = 3765.377, dw = -0.04915, nw = 1651 141016.0026.ec.fits: ap = 98, w1 = 3820.837, w2 = 3740.285, dw = -0.04882, nw = 1651 141016.0026.ec.fits: ap = 99, w1 = 3795.545, w2 = 3715.524, dw = -0.0485, nw = 1651 141016.0026.ec.fits: ap = 100, w1 = 3770.585, w2 = 3691.09, dw = -0.04818, nw = 1651 141016.0026.ec.fits: ap = 101, w1 = 3745.953, w2 = 3666.975, dw = -0.04787, nw = 1651 141016.0026.ec.fits: ap = 102, w1 = 3721.64, w2 = 3643.174, dw = -0.04756, nw = 1651 141016.0026.ec.fits: ap = 103, w1 = 3697.641, w2 = 3619.679, dw = -0.04725, nw = 1651 141016.0026.ec.fits: ap = 104, w1 = 3673.95, w2 = 3596.486, dw = -0.04695, nw = 1651 141016.0026.ec.fits: ap = 105, w1 = 3650.561, w2 = 3573.588, dw = -0.04665, nw = 1651 141016.0026.ec.fits: ap = 106, w1 = 3627.469, w2 = 3550.981, dw = -0.04636, nw = 1651 141016.0026.ec.fits: ap = 107, w1 = 3604.667, w2 = 3528.657, dw = -0.04607, nw = 1651 141016.0026.ec.fits: ap = 108, w1 = 3582.15, w2 = 3506.613, dw = -0.04578, nw = 1651 141016.0026.ec.fits: ap = 109, w1 = 3559.913, w2 = 3484.843, dw = -0.0455, nw = 1651 141016.0026.ec.fits: ap = 110, w1 = 3537.951, w2 = 3463.341, dw = -0.04522, nw = 1651 141016.0026.ec.fits: ap = 111, w1 = 3516.259, w2 = 3442.103, dw = -0.04494, nw = 1651 141016.0026.ec.fits: ap = 112, w1 = 3494.831, w2 = 3421.125, dw = -0.04467, nw = 1651 141016.0026.ec.fits: ap = 113, w1 = 3473.664, w2 = 3400.4, dw = -0.0444, nw = 1651 141016.0026.ec.fits: ap = 114, w1 = 3452.751, w2 = 3379.925, dw = -0.04414, nw = 1651 141016.0026.ec.fits: ap = 115, w1 = 3432.09, w2 = 3359.696, dw = -0.04387, nw = 1651 141016.0027.ec.fits: REFSPEC1 = 'EchelleThAr.0024.ec 0.16922249' 141016.0027.ec.fits: REFSPEC2 = 'EchelleThAr.0028.ec 0.83077753' 141016.0027.ec.fits: ap = 1, w1 = 10811.92, w2 = 10583.72, dw = -0.1383, nw = 1651 141016.0027.ec.fits: ap = 2, w1 = 10611.71, w2 = 10387.74, dw = -0.13574, nw = 1651 141016.0027.ec.fits: ap = 3, w1 = 10418.79, w2 = 10198.89, dw = -0.13327, nw = 1651 141016.0027.ec.fits: ap = 4, w1 = 10232.75, w2 = 10016.79, dw = -0.13089, nw = 1651 141016.0027.ec.fits: ap = 5, w1 = 10053.24, w2 = 9841.07, dw = -0.12859, nw = 1651 141016.0027.ec.fits: ap = 6, w1 = 9879.916, w2 = 9671.412, dw = -0.12637, nw = 1651 141016.0027.ec.fits: ap = 7, w1 = 9712.472, w2 = 9507.505, dw = -0.12422, nw = 1651 141016.0027.ec.fits: ap = 8, w1 = 9550.608, w2 = 9349.062, dw = -0.12215, nw = 1651 141016.0027.ec.fits: ap = 9, w1 = 9394.052, w2 = 9195.813, dw = -0.12014, nw = 1651 141016.0027.ec.fits: ap = 10, w1 = 9242.546, w2 = 9047.508, dw = -0.1182, nw = 1651 141016.0027.ec.fits: ap = 11, w1 = 9095.85, w2 = 8903.911, dw = -0.11633, nw = 1651 141016.0027.ec.fits: ap = 12, w1 = 8953.738, w2 = 8764.801, dw = -0.11451, nw = 1651 141016.0027.ec.fits: ap = 13, w1 = 8815.999, w2 = 8629.972, dw = -0.11274, nw = 1651 141016.0027.ec.fits: ap = 14, w1 = 8682.434, w2 = 8499.228, dw = -0.11103, nw = 1651 141016.0027.ec.fits: ap = 15, w1 = 8552.855, w2 = 8372.387, dw = -0.10937, nw = 1651 141016.0027.ec.fits: ap = 16, w1 = 8427.089, w2 = 8249.276, dw = -0.10776, nw = 1651 141016.0027.ec.fits: ap = 17, w1 = 8304.967, w2 = 8129.734, dw = -0.1062, nw = 1651 141016.0027.ec.fits: ap = 18, w1 = 8186.335, w2 = 8013.608, dw = -0.10468, nw = 1651 141016.0027.ec.fits: ap = 19, w1 = 8071.045, w2 = 7900.752, dw = -0.10321, nw = 1651 141016.0027.ec.fits: ap = 20, w1 = 7958.957, w2 = 7791.032, dw = -0.10177, nw = 1651 141016.0027.ec.fits: ap = 21, w1 = 7849.94, w2 = 7684.317, dw = -0.10038, nw = 1651 141016.0027.ec.fits: ap = 22, w1 = 7743.87, w2 = 7580.487, dw = -0.09902, nw = 1651 141016.0027.ec.fits: ap = 23, w1 = 7640.628, w2 = 7479.426, dw = -0.0977, nw = 1651 141016.0027.ec.fits: ap = 24, w1 = 7540.103, w2 = 7381.024, dw = -0.09641, nw = 1651 141016.0027.ec.fits: ap = 25, w1 = 7442.189, w2 = 7285.178, dw = -0.09516, nw = 1651 141016.0027.ec.fits: ap = 26, w1 = 7346.786, w2 = 7191.789, dw = -0.09394, nw = 1651 141016.0027.ec.fits: ap = 27, w1 = 7253.798, w2 = 7100.765, dw = -0.09275, nw = 1651 141016.0027.ec.fits: ap = 28, w1 = 7163.135, w2 = 7012.017, dw = -0.09159, nw = 1651 141016.0027.ec.fits: ap = 29, w1 = 7074.711, w2 = 6925.459, dw = -0.09046, nw = 1651 141016.0027.ec.fits: ap = 30, w1 = 6988.443, w2 = 6841.014, dw = -0.08935, nw = 1651 141016.0027.ec.fits: ap = 31, w1 = 6904.254, w2 = 6758.603, dw = -0.08827, nw = 1651 141016.0027.ec.fits: ap = 32, w1 = 6822.07, w2 = 6678.154, dw = -0.08722, nw = 1651 141016.0027.ec.fits: ap = 33, w1 = 6741.819, w2 = 6599.598, dw = -0.08619, nw = 1651 141016.0027.ec.fits: ap = 34, w1 = 6663.435, w2 = 6522.869, dw = -0.08519, nw = 1651 141016.0027.ec.fits: ap = 35, w1 = 6586.853, w2 = 6447.904, dw = -0.08421, nw = 1651 141016.0027.ec.fits: ap = 36, w1 = 6512.011, w2 = 6374.643, dw = -0.08325, nw = 1651 141016.0027.ec.fits: ap = 37, w1 = 6438.851, w2 = 6303.028, dw = -0.08232, nw = 1651 141016.0027.ec.fits: ap = 38, w1 = 6367.317, w2 = 6233.005, dw = -0.0814, nw = 1651 141016.0027.ec.fits: ap = 39, w1 = 6297.355, w2 = 6164.52, dw = -0.08051, nw = 1651 141016.0027.ec.fits: ap = 40, w1 = 6228.915, w2 = 6097.525, dw = -0.07963, nw = 1651 141016.0027.ec.fits: ap = 41, w1 = 6161.946, w2 = 6031.97, dw = -0.07877, nw = 1651 141016.0027.ec.fits: ap = 42, w1 = 6096.402, w2 = 5967.811, dw = -0.07793, nw = 1651 141016.0027.ec.fits: ap = 43, w1 = 6032.238, w2 = 5905.002, dw = -0.07711, nw = 1651 141016.0027.ec.fits: ap = 44, w1 = 5969.41, w2 = 5843.502, dw = -0.07631, nw = 1651 141016.0027.ec.fits: ap = 45, w1 = 5907.878, w2 = 5783.27, dw = -0.07552, nw = 1651 141016.0027.ec.fits: ap = 46, w1 = 5847.602, w2 = 5724.267, dw = -0.07475, nw = 1651 141016.0027.ec.fits: ap = 47, w1 = 5788.544, w2 = 5666.456, dw = -0.07399, nw = 1651 141016.0027.ec.fits: ap = 48, w1 = 5730.667, w2 = 5609.801, dw = -0.07325, nw = 1651 141016.0027.ec.fits: ap = 49, w1 = 5673.936, w2 = 5554.269, dw = -0.07253, nw = 1651 141016.0027.ec.fits: ap = 50, w1 = 5618.317, w2 = 5499.825, dw = -0.07181, nw = 1651 141016.0027.ec.fits: ap = 51, w1 = 5563.779, w2 = 5446.439, dw = -0.07112, nw = 1651 141016.0027.ec.fits: ap = 52, w1 = 5510.289, w2 = 5394.079, dw = -0.07043, nw = 1651 141016.0027.ec.fits: ap = 53, w1 = 5457.819, w2 = 5342.717, dw = -0.06976, nw = 1651 141016.0027.ec.fits: ap = 54, w1 = 5406.338, w2 = 5292.324, dw = -0.0691, nw = 1651 141016.0027.ec.fits: ap = 55, w1 = 5355.82, w2 = 5242.873, dw = -0.06845, nw = 1651 141016.0027.ec.fits: ap = 56, w1 = 5306.237, w2 = 5194.338, dw = -0.06782, nw = 1651 141016.0027.ec.fits: ap = 57, w1 = 5257.564, w2 = 5146.693, dw = -0.06719, nw = 1651 141016.0027.ec.fits: ap = 58, w1 = 5209.776, w2 = 5099.915, dw = -0.06658, nw = 1651 141016.0027.ec.fits: ap = 59, w1 = 5162.85, w2 = 5053.979, dw = -0.06598, nw = 1651 141016.0027.ec.fits: ap = 60, w1 = 5116.761, w2 = 5008.864, dw = -0.06539, nw = 1651 141016.0027.ec.fits: ap = 61, w1 = 5071.488, w2 = 4964.548, dw = -0.06481, nw = 1651 141016.0027.ec.fits: ap = 62, w1 = 5027.01, w2 = 4921.009, dw = -0.06424, nw = 1651 141016.0027.ec.fits: ap = 63, w1 = 4983.305, w2 = 4878.228, dw = -0.06368, nw = 1651 141016.0027.ec.fits: ap = 64, w1 = 4940.354, w2 = 4836.184, dw = -0.06313, nw = 1651 141016.0027.ec.fits: ap = 65, w1 = 4898.137, w2 = 4794.859, dw = -0.06259, nw = 1651 141016.0027.ec.fits: ap = 66, w1 = 4856.635, w2 = 4754.234, dw = -0.06206, nw = 1651 141016.0027.ec.fits: ap = 67, w1 = 4815.832, w2 = 4714.292, dw = -0.06154, nw = 1651 141016.0027.ec.fits: ap = 68, w1 = 4775.708, w2 = 4675.016, dw = -0.06103, nw = 1651 141016.0027.ec.fits: ap = 69, w1 = 4736.248, w2 = 4636.39, dw = -0.06052, nw = 1651 141016.0027.ec.fits: ap = 70, w1 = 4697.435, w2 = 4598.396, dw = -0.06002, nw = 1651 141016.0027.ec.fits: ap = 71, w1 = 4659.253, w2 = 4561.021, dw = -0.05953, nw = 1651 141016.0027.ec.fits: ap = 72, w1 = 4621.687, w2 = 4524.248, dw = -0.05905, nw = 1651 141016.0027.ec.fits: ap = 73, w1 = 4584.722, w2 = 4488.064, dw = -0.05858, nw = 1651 141016.0027.ec.fits: ap = 74, w1 = 4548.344, w2 = 4452.454, dw = -0.05812, nw = 1651 141016.0027.ec.fits: ap = 75, w1 = 4512.539, w2 = 4417.405, dw = -0.05766, nw = 1651 141016.0027.ec.fits: ap = 76, w1 = 4477.293, w2 = 4382.904, dw = -0.05721, nw = 1651 141016.0027.ec.fits: ap = 77, w1 = 4442.594, w2 = 4348.937, dw = -0.05676, nw = 1651 141016.0027.ec.fits: ap = 78, w1 = 4408.429, w2 = 4315.494, dw = -0.05632, nw = 1651 141016.0027.ec.fits: ap = 79, w1 = 4374.786, w2 = 4282.56, dw = -0.05589, nw = 1651 141016.0027.ec.fits: ap = 80, w1 = 4341.653, w2 = 4250.126, dw = -0.05547, nw = 1651 141016.0027.ec.fits: ap = 81, w1 = 4309.018, w2 = 4218.18, dw = -0.05505, nw = 1651 141016.0027.ec.fits: ap = 82, w1 = 4276.87, w2 = 4186.711, dw = -0.05464, nw = 1651 141016.0027.ec.fits: ap = 83, w1 = 4245.199, w2 = 4155.708, dw = -0.05424, nw = 1651 141016.0027.ec.fits: ap = 84, w1 = 4213.993, w2 = 4125.16, dw = -0.05384, nw = 1651 141016.0027.ec.fits: ap = 85, w1 = 4183.244, w2 = 4095.059, dw = -0.05345, nw = 1651 141016.0027.ec.fits: ap = 86, w1 = 4152.94, w2 = 4065.394, dw = -0.05306, nw = 1651 141016.0027.ec.fits: ap = 87, w1 = 4123.072, w2 = 4036.156, dw = -0.05268, nw = 1651 141016.0027.ec.fits: ap = 88, w1 = 4093.631, w2 = 4007.336, dw = -0.0523, nw = 1651 141016.0027.ec.fits: ap = 89, w1 = 4064.608, w2 = 3978.925, dw = -0.05193, nw = 1651 141016.0027.ec.fits: ap = 90, w1 = 4035.994, w2 = 3950.913, dw = -0.05156, nw = 1651 141016.0027.ec.fits: ap = 91, w1 = 4007.78, w2 = 3923.294, dw = -0.0512, nw = 1651 141016.0027.ec.fits: ap = 92, w1 = 3979.959, w2 = 3896.058, dw = -0.05085, nw = 1651 141016.0027.ec.fits: ap = 93, w1 = 3952.521, w2 = 3869.198, dw = -0.0505, nw = 1651 141016.0027.ec.fits: ap = 94, w1 = 3925.459, w2 = 3842.706, dw = -0.05015, nw = 1651 141016.0027.ec.fits: ap = 95, w1 = 3898.766, w2 = 3816.574, dw = -0.04981, nw = 1651 141016.0027.ec.fits: ap = 96, w1 = 3872.433, w2 = 3790.796, dw = -0.04948, nw = 1651 141016.0027.ec.fits: ap = 97, w1 = 3846.454, w2 = 3765.363, dw = -0.04915, nw = 1651 141016.0027.ec.fits: ap = 98, w1 = 3820.822, w2 = 3740.27, dw = -0.04882, nw = 1651 141016.0027.ec.fits: ap = 99, w1 = 3795.53, w2 = 3715.509, dw = -0.0485, nw = 1651 141016.0027.ec.fits: ap = 100, w1 = 3770.57, w2 = 3691.073, dw = -0.04818, nw = 1651 141016.0027.ec.fits: ap = 101, w1 = 3745.937, w2 = 3666.958, dw = -0.04787, nw = 1651 141016.0027.ec.fits: ap = 102, w1 = 3721.624, w2 = 3643.155, dw = -0.04756, nw = 1651 141016.0027.ec.fits: ap = 103, w1 = 3697.625, w2 = 3619.66, dw = -0.04725, nw = 1651 141016.0027.ec.fits: ap = 104, w1 = 3673.934, w2 = 3596.465, dw = -0.04695, nw = 1651 141016.0027.ec.fits: ap = 105, w1 = 3650.545, w2 = 3573.566, dw = -0.04665, nw = 1651 141016.0027.ec.fits: ap = 106, w1 = 3627.452, w2 = 3550.958, dw = -0.04636, nw = 1651 141016.0027.ec.fits: ap = 107, w1 = 3604.65, w2 = 3528.633, dw = -0.04607, nw = 1651 141016.0027.ec.fits: ap = 108, w1 = 3582.133, w2 = 3506.587, dw = -0.04579, nw = 1651 141016.0027.ec.fits: ap = 109, w1 = 3559.897, w2 = 3484.816, dw = -0.0455, nw = 1651 141016.0027.ec.fits: ap = 110, w1 = 3537.934, w2 = 3463.313, dw = -0.04523, nw = 1651 141016.0027.ec.fits: ap = 111, w1 = 3516.242, w2 = 3442.074, dw = -0.04495, nw = 1651 141016.0027.ec.fits: ap = 112, w1 = 3494.815, w2 = 3421.094, dw = -0.04468, nw = 1651 141016.0027.ec.fits: ap = 113, w1 = 3473.647, w2 = 3400.368, dw = -0.04441, nw = 1651 141016.0027.ec.fits: ap = 114, w1 = 3452.735, w2 = 3379.892, dw = -0.04415, nw = 1651 141016.0027.ec.fits: ap = 115, w1 = 3432.073, w2 = 3359.661, dw = -0.04389, nw = 1651 EchelleThAr.0007.ec.fits: REFSPEC1 = 'EchelleThAr.0007.ec 1.' zEchelleThAr.0007.ec.fits: ap = 1, w1 = 10812.09, w2 = 10583.72, dw = -0.13841, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 2, w1 = 10611.85, w2 = 10387.74, dw = -0.13582, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 3, w1 = 10418.9, w2 = 10198.9, dw = -0.13333, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 4, w1 = 10232.84, w2 = 10016.8, dw = -0.13094, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 5, w1 = 10053.31, w2 = 9841.082, dw = -0.12862, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 6, w1 = 9879.974, w2 = 9671.427, dw = -0.12639, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 7, w1 = 9712.515, w2 = 9507.523, dw = -0.12424, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 8, w1 = 9550.64, w2 = 9349.082, dw = -0.12216, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 9, w1 = 9394.073, w2 = 9195.835, dw = -0.12014, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 10, w1 = 9242.558, w2 = 9047.531, dw = -0.1182, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 11, w1 = 9095.855, w2 = 8903.936, dw = -0.11631, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 12, w1 = 8953.736, w2 = 8764.827, dw = -0.11449, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 13, w1 = 8815.992, w2 = 8629.998, dw = -0.11272, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 14, w1 = 8682.423, w2 = 8499.255, dw = -0.11101, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 15, w1 = 8552.842, w2 = 8372.414, dw = -0.10935, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 16, w1 = 8427.073, w2 = 8249.304, dw = -0.10774, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 17, w1 = 8304.95, w2 = 8129.762, dw = -0.10617, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 18, w1 = 8186.316, w2 = 8013.636, dw = -0.10465, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 19, w1 = 8071.026, w2 = 7900.78, dw = -0.10318, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 20, w1 = 7958.938, w2 = 7791.06, dw = -0.10174, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 21, w1 = 7849.922, w2 = 7684.345, dw = -0.10035, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 22, w1 = 7743.852, w2 = 7580.514, dw = -0.09899, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 23, w1 = 7640.612, w2 = 7479.453, dw = -0.09767, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 24, w1 = 7540.088, w2 = 7381.05, dw = -0.09639, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 25, w1 = 7442.176, w2 = 7285.204, dw = -0.09513, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 26, w1 = 7346.775, w2 = 7191.815, dw = -0.09392, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 27, w1 = 7253.789, w2 = 7100.79, dw = -0.09273, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 28, w1 = 7163.128, w2 = 7012.041, dw = -0.09157, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 29, w1 = 7074.706, w2 = 6925.484, dw = -0.09044, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 30, w1 = 6988.44, w2 = 6841.037, dw = -0.08934, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 31, w1 = 6904.254, w2 = 6758.626, dw = -0.08826, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 32, w1 = 6822.071, w2 = 6678.177, dw = -0.08721, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 33, w1 = 6741.823, w2 = 6599.62, dw = -0.08618, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 34, w1 = 6663.441, w2 = 6522.891, dw = -0.08518, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 35, w1 = 6586.86, w2 = 6447.926, dw = -0.0842, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 36, w1 = 6512.02, w2 = 6374.664, dw = -0.08325, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 37, w1 = 6438.862, w2 = 6303.049, dw = -0.08231, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 38, w1 = 6367.33, w2 = 6233.025, dw = -0.0814, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 39, w1 = 6297.369, w2 = 6164.541, dw = -0.0805, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 40, w1 = 6228.929, w2 = 6097.545, dw = -0.07963, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 41, w1 = 6161.962, w2 = 6031.99, dw = -0.07877, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 42, w1 = 6096.418, w2 = 5967.83, dw = -0.07793, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 43, w1 = 6032.255, w2 = 5905.021, dw = -0.07711, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 44, w1 = 5969.428, w2 = 5843.521, dw = -0.07631, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 45, w1 = 5907.896, w2 = 5783.288, dw = -0.07552, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 46, w1 = 5847.62, w2 = 5724.285, dw = -0.07475, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 47, w1 = 5788.562, w2 = 5666.474, dw = -0.07399, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 48, w1 = 5730.685, w2 = 5609.82, dw = -0.07325, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 49, w1 = 5673.953, w2 = 5554.287, dw = -0.07252, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 50, w1 = 5618.334, w2 = 5499.843, dw = -0.07181, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 51, w1 = 5563.795, w2 = 5446.457, dw = -0.07111, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 52, w1 = 5510.304, w2 = 5394.097, dw = -0.07043, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 53, w1 = 5457.832, w2 = 5342.735, dw = -0.06976, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 54, w1 = 5406.35, w2 = 5292.342, dw = -0.0691, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 55, w1 = 5355.83, w2 = 5242.891, dw = -0.06845, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 56, w1 = 5306.246, w2 = 5194.356, dw = -0.06781, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 57, w1 = 5257.571, w2 = 5146.711, dw = -0.06719, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 58, w1 = 5209.781, w2 = 5099.933, dw = -0.06657, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 59, w1 = 5162.852, w2 = 5053.998, dw = -0.06597, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 60, w1 = 5116.761, w2 = 5008.883, dw = -0.06538, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 61, w1 = 5071.486, w2 = 4964.566, dw = -0.0648, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 62, w1 = 5027.005, w2 = 4921.027, dw = -0.06423, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 63, w1 = 4983.297, w2 = 4878.246, dw = -0.06367, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 64, w1 = 4940.343, w2 = 4836.202, dw = -0.06312, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 65, w1 = 4898.123, w2 = 4794.877, dw = -0.06257, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 66, w1 = 4856.619, w2 = 4754.252, dw = -0.06204, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 67, w1 = 4815.813, w2 = 4714.31, dw = -0.06152, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 68, w1 = 4775.686, w2 = 4675.034, dw = -0.061, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 69, w1 = 4736.223, w2 = 4636.407, dw = -0.06049, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 70, w1 = 4697.407, w2 = 4598.413, dw = -0.06, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 71, w1 = 4659.222, w2 = 4561.037, dw = -0.05951, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 72, w1 = 4621.653, w2 = 4524.264, dw = -0.05902, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 73, w1 = 4584.685, w2 = 4488.079, dw = -0.05855, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 74, w1 = 4548.304, w2 = 4452.469, dw = -0.05808, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 75, w1 = 4512.496, w2 = 4417.419, dw = -0.05762, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 76, w1 = 4477.248, w2 = 4382.917, dw = -0.05717, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 77, w1 = 4442.547, w2 = 4348.95, dw = -0.05673, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 78, w1 = 4408.379, w2 = 4315.505, dw = -0.05629, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 79, w1 = 4374.734, w2 = 4282.571, dw = -0.05586, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 80, w1 = 4341.598, w2 = 4250.136, dw = -0.05543, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 81, w1 = 4308.961, w2 = 4218.189, dw = -0.05501, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 82, w1 = 4276.812, w2 = 4186.718, dw = -0.0546, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 83, w1 = 4245.139, w2 = 4155.713, dw = -0.0542, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 84, w1 = 4213.932, w2 = 4125.165, dw = -0.0538, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 85, w1 = 4183.182, w2 = 4095.062, dw = -0.05341, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 86, w1 = 4152.877, w2 = 4065.395, dw = -0.05302, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 87, w1 = 4123.009, w2 = 4036.155, dw = -0.05264, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 88, w1 = 4093.568, w2 = 4007.333, dw = -0.05226, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 89, w1 = 4064.545, w2 = 3978.919, dw = -0.05189, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 90, w1 = 4035.931, w2 = 3950.905, dw = -0.05153, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 91, w1 = 4007.718, w2 = 3923.283, dw = -0.05117, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 92, w1 = 3979.897, w2 = 3896.045, dw = -0.05082, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 93, w1 = 3952.461, w2 = 3869.182, dw = -0.05047, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 94, w1 = 3925.402, w2 = 3842.686, dw = -0.05013, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 95, w1 = 3898.711, w2 = 3816.551, dw = -0.04979, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 96, w1 = 3872.381, w2 = 3790.769, dw = -0.04946, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 97, w1 = 3846.406, w2 = 3765.333, dw = -0.04913, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 98, w1 = 3820.777, w2 = 3740.236, dw = -0.04881, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 99, w1 = 3795.489, w2 = 3715.471, dw = -0.0485, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 100, w1 = 3770.535, w2 = 3691.031, dw = -0.04818, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 101, w1 = 3745.907, w2 = 3666.911, dw = -0.04788, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 102, w1 = 3721.601, w2 = 3643.104, dw = -0.04757, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 103, w1 = 3697.608, w2 = 3619.603, dw = -0.04728, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 104, w1 = 3673.925, w2 = 3596.404, dw = -0.04698, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 105, w1 = 3650.544, w2 = 3573.499, dw = -0.04669, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 106, w1 = 3627.46, w2 = 3550.885, dw = -0.04641, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 107, w1 = 3604.667, w2 = 3528.554, dw = -0.04613, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 108, w1 = 3582.16, w2 = 3506.503, dw = -0.04585, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 109, w1 = 3559.935, w2 = 3484.724, dw = -0.04558, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 110, w1 = 3537.984, w2 = 3463.215, dw = -0.04531, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 111, w1 = 3516.304, w2 = 3441.968, dw = -0.04505, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 112, w1 = 3494.89, w2 = 3420.981, dw = -0.04479, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 113, w1 = 3473.737, w2 = 3400.248, dw = -0.04454, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 114, w1 = 3452.839, w2 = 3379.763, dw = -0.04429, nw = 1651 zEchelleThAr.0007.ec.fits: ap = 115, w1 = 3432.194, w2 = 3359.524, dw = -0.04404, nw = 1651 EchelleThAr.0008.ec.fits: REFSPEC1 = 'EchelleThAr.0008.ec 1.' zEchelleThAr.0008.ec.fits: ap = 1, w1 = 10811.85, w2 = 10583.75, dw = -0.13824, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 2, w1 = 10611.65, w2 = 10387.77, dw = -0.13568, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 3, w1 = 10418.73, w2 = 10198.92, dw = -0.13322, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 4, w1 = 10232.7, w2 = 10016.81, dw = -0.13084, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 5, w1 = 10053.2, w2 = 9841.096, dw = -0.12855, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 6, w1 = 9879.884, w2 = 9671.438, dw = -0.12633, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 7, w1 = 9712.445, w2 = 9507.531, dw = -0.12419, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 8, w1 = 9550.587, w2 = 9349.088, dw = -0.12212, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 9, w1 = 9394.035, w2 = 9195.839, dw = -0.12012, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 10, w1 = 9242.533, w2 = 9047.534, dw = -0.11818, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 11, w1 = 9095.84, w2 = 8903.937, dw = -0.1163, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 12, w1 = 8953.731, w2 = 8764.828, dw = -0.11449, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 13, w1 = 8815.994, w2 = 8629.998, dw = -0.11272, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 14, w1 = 8682.431, w2 = 8499.255, dw = -0.11102, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 15, w1 = 8552.854, w2 = 8372.414, dw = -0.10936, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 16, w1 = 8427.089, w2 = 8249.304, dw = -0.10775, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 17, w1 = 8304.968, w2 = 8129.762, dw = -0.10619, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 18, w1 = 8186.336, w2 = 8013.635, dw = -0.10467, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 19, w1 = 8071.046, w2 = 7900.78, dw = -0.10319, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 20, w1 = 7958.959, w2 = 7791.059, dw = -0.10176, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 21, w1 = 7849.942, w2 = 7684.345, dw = -0.10036, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 22, w1 = 7743.871, w2 = 7580.515, dw = -0.099, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 23, w1 = 7640.629, w2 = 7479.453, dw = -0.09768, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 24, w1 = 7540.104, w2 = 7381.051, dw = -0.0964, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 25, w1 = 7442.19, w2 = 7285.205, dw = -0.09514, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 26, w1 = 7346.786, w2 = 7191.817, dw = -0.09392, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 27, w1 = 7253.798, w2 = 7100.792, dw = -0.09273, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 28, w1 = 7163.134, w2 = 7012.044, dw = -0.09157, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 29, w1 = 7074.709, w2 = 6925.487, dw = -0.09044, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 30, w1 = 6988.441, w2 = 6841.04, dw = -0.08933, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 31, w1 = 6904.252, w2 = 6758.629, dw = -0.08826, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 32, w1 = 6822.067, w2 = 6678.18, dw = -0.0872, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 33, w1 = 6741.816, w2 = 6599.624, dw = -0.08618, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 34, w1 = 6663.431, w2 = 6522.894, dw = -0.08517, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 35, w1 = 6586.848, w2 = 6447.929, dw = -0.08419, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 36, w1 = 6512.006, w2 = 6374.667, dw = -0.08324, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 37, w1 = 6438.846, w2 = 6303.052, dw = -0.0823, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 38, w1 = 6367.311, w2 = 6233.028, dw = -0.08138, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 39, w1 = 6297.349, w2 = 6164.544, dw = -0.08049, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 40, w1 = 6228.908, w2 = 6097.548, dw = -0.07961, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 41, w1 = 6161.939, w2 = 6031.993, dw = -0.07876, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 42, w1 = 6096.395, w2 = 5967.832, dw = -0.07792, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 43, w1 = 6032.231, w2 = 5905.023, dw = -0.0771, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 44, w1 = 5969.403, w2 = 5843.522, dw = -0.07629, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 45, w1 = 5907.871, w2 = 5783.289, dw = -0.0755, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 46, w1 = 5847.595, w2 = 5724.286, dw = -0.07473, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 47, w1 = 5788.537, w2 = 5666.474, dw = -0.07398, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 48, w1 = 5730.66, w2 = 5609.819, dw = -0.07324, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 49, w1 = 5673.929, w2 = 5554.286, dw = -0.07251, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 50, w1 = 5618.311, w2 = 5499.841, dw = -0.0718, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 51, w1 = 5563.773, w2 = 5446.454, dw = -0.0711, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 52, w1 = 5510.283, w2 = 5394.094, dw = -0.07042, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 53, w1 = 5457.813, w2 = 5342.731, dw = -0.06975, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 54, w1 = 5406.333, w2 = 5292.337, dw = -0.06909, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 55, w1 = 5355.815, w2 = 5242.886, dw = -0.06844, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 56, w1 = 5306.232, w2 = 5194.35, dw = -0.06781, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 57, w1 = 5257.56, w2 = 5146.705, dw = -0.06718, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 58, w1 = 5209.772, w2 = 5099.926, dw = -0.06657, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 59, w1 = 5162.846, w2 = 5053.99, dw = -0.06597, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 60, w1 = 5116.757, w2 = 5008.875, dw = -0.06538, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 61, w1 = 5071.484, w2 = 4964.558, dw = -0.0648, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 62, w1 = 5027.006, w2 = 4921.018, dw = -0.06423, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 63, w1 = 4983.301, w2 = 4878.236, dw = -0.06368, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 64, w1 = 4940.35, w2 = 4836.192, dw = -0.06313, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 65, w1 = 4898.133, w2 = 4794.867, dw = -0.06259, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 66, w1 = 4856.631, w2 = 4754.242, dw = -0.06205, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 67, w1 = 4815.827, w2 = 4714.3, dw = -0.06153, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 68, w1 = 4775.703, w2 = 4675.024, dw = -0.06102, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 69, w1 = 4736.243, w2 = 4636.397, dw = -0.06051, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 70, w1 = 4697.429, w2 = 4598.403, dw = -0.06002, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 71, w1 = 4659.246, w2 = 4561.028, dw = -0.05953, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 72, w1 = 4621.679, w2 = 4524.255, dw = -0.05904, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 73, w1 = 4584.713, w2 = 4488.071, dw = -0.05857, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 74, w1 = 4548.334, w2 = 4452.461, dw = -0.0581, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 75, w1 = 4512.527, w2 = 4417.412, dw = -0.05765, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 76, w1 = 4477.28, w2 = 4382.912, dw = -0.05719, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 77, w1 = 4442.579, w2 = 4348.946, dw = -0.05675, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 78, w1 = 4408.413, w2 = 4315.502, dw = -0.05631, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 79, w1 = 4374.767, w2 = 4282.57, dw = -0.05588, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 80, w1 = 4341.631, w2 = 4250.137, dw = -0.05545, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 81, w1 = 4308.994, w2 = 4218.191, dw = -0.05503, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 82, w1 = 4276.843, w2 = 4186.723, dw = -0.05462, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 83, w1 = 4245.168, w2 = 4155.721, dw = -0.05421, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 84, w1 = 4213.959, w2 = 4125.175, dw = -0.05381, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 85, w1 = 4183.206, w2 = 4095.075, dw = -0.05341, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 86, w1 = 4152.898, w2 = 4065.411, dw = -0.05302, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 87, w1 = 4123.026, w2 = 4036.175, dw = -0.05264, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 88, w1 = 4093.58, w2 = 4007.356, dw = -0.05226, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 89, w1 = 4064.552, w2 = 3978.947, dw = -0.05188, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 90, w1 = 4035.932, w2 = 3950.937, dw = -0.05151, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 91, w1 = 4007.713, w2 = 3923.32, dw = -0.05115, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 92, w1 = 3979.885, w2 = 3896.086, dw = -0.05079, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 93, w1 = 3952.44, w2 = 3869.229, dw = -0.05043, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 94, w1 = 3925.371, w2 = 3842.739, dw = -0.05008, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 95, w1 = 3898.671, w2 = 3816.61, dw = -0.04973, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 96, w1 = 3872.33, w2 = 3790.834, dw = -0.04939, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 97, w1 = 3846.343, w2 = 3765.405, dw = -0.04905, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 98, w1 = 3820.702, w2 = 3740.315, dw = -0.04872, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 99, w1 = 3795.4, w2 = 3715.557, dw = -0.04839, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 100, w1 = 3770.431, w2 = 3691.125, dw = -0.04806, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 101, w1 = 3745.788, w2 = 3667.013, dw = -0.04774, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 102, w1 = 3721.464, w2 = 3643.214, dw = -0.04742, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 103, w1 = 3697.454, w2 = 3619.723, dw = -0.04711, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 104, w1 = 3673.751, w2 = 3596.533, dw = -0.0468, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 105, w1 = 3650.349, w2 = 3573.639, dw = -0.04649, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 106, w1 = 3627.244, w2 = 3551.034, dw = -0.04619, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 107, w1 = 3604.428, w2 = 3528.715, dw = -0.04589, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 108, w1 = 3581.897, w2 = 3506.674, dw = -0.04559, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 109, w1 = 3559.646, w2 = 3484.908, dw = -0.0453, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 110, w1 = 3537.668, w2 = 3463.411, dw = -0.045, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 111, w1 = 3515.96, w2 = 3442.177, dw = -0.04472, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 112, w1 = 3494.516, w2 = 3421.203, dw = -0.04443, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 113, w1 = 3473.331, w2 = 3400.484, dw = -0.04415, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 114, w1 = 3452.401, w2 = 3380.014, dw = -0.04387, nw = 1651 zEchelleThAr.0008.ec.fits: ap = 115, w1 = 3431.72, w2 = 3359.79, dw = -0.04359, nw = 1651 EchelleThAr.0012.ec.fits: REFSPEC1 = 'EchelleThAr.0012.ec 1.' zEchelleThAr.0012.ec.fits: ap = 1, w1 = 10811.96, w2 = 10583.75, dw = -0.13831, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 2, w1 = 10611.75, w2 = 10387.78, dw = -0.13574, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 3, w1 = 10418.82, w2 = 10198.93, dw = -0.13327, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 4, w1 = 10232.79, w2 = 10016.83, dw = -0.13088, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 5, w1 = 10053.28, w2 = 9841.114, dw = -0.12858, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 6, w1 = 9879.956, w2 = 9671.459, dw = -0.12636, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 7, w1 = 9712.511, w2 = 9507.554, dw = -0.12422, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 8, w1 = 9550.648, w2 = 9349.112, dw = -0.12214, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 9, w1 = 9394.091, w2 = 9195.865, dw = -0.12014, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 10, w1 = 9242.585, w2 = 9047.561, dw = -0.1182, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 11, w1 = 9095.889, w2 = 8903.965, dw = -0.11632, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 12, w1 = 8953.776, w2 = 8764.856, dw = -0.1145, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 13, w1 = 8816.037, w2 = 8630.026, dw = -0.11273, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 14, w1 = 8682.471, w2 = 8499.283, dw = -0.11102, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 15, w1 = 8552.892, w2 = 8372.442, dw = -0.10936, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 16, w1 = 8427.125, w2 = 8249.331, dw = -0.10775, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 17, w1 = 8305.003, w2 = 8129.789, dw = -0.10619, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 18, w1 = 8186.37, w2 = 8013.662, dw = -0.10467, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 19, w1 = 8071.079, w2 = 7900.806, dw = -0.1032, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 20, w1 = 7958.991, w2 = 7791.084, dw = -0.10176, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 21, w1 = 7849.973, w2 = 7684.369, dw = -0.10037, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 22, w1 = 7743.902, w2 = 7580.538, dw = -0.09901, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 23, w1 = 7640.66, w2 = 7479.476, dw = -0.09769, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 24, w1 = 7540.134, w2 = 7381.073, dw = -0.0964, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 25, w1 = 7442.22, w2 = 7285.226, dw = -0.09515, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 26, w1 = 7346.816, w2 = 7191.837, dw = -0.09393, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 27, w1 = 7253.828, w2 = 7100.811, dw = -0.09274, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 28, w1 = 7163.164, w2 = 7012.062, dw = -0.09158, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 29, w1 = 7074.739, w2 = 6925.504, dw = -0.09045, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 30, w1 = 6988.471, w2 = 6841.057, dw = -0.08934, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 31, w1 = 6904.281, w2 = 6758.645, dw = -0.08826, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 32, w1 = 6822.096, w2 = 6678.195, dw = -0.08721, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 33, w1 = 6741.845, w2 = 6599.638, dw = -0.08619, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 34, w1 = 6663.46, w2 = 6522.909, dw = -0.08518, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 35, w1 = 6586.878, w2 = 6447.943, dw = -0.0842, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 36, w1 = 6512.035, w2 = 6374.681, dw = -0.08325, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 37, w1 = 6438.875, w2 = 6303.065, dw = -0.08231, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 38, w1 = 6367.341, w2 = 6233.041, dw = -0.08139, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 39, w1 = 6297.378, w2 = 6164.556, dw = -0.0805, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 40, w1 = 6228.937, w2 = 6097.56, dw = -0.07962, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 41, w1 = 6161.968, w2 = 6032.005, dw = -0.07877, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 42, w1 = 6096.423, w2 = 5967.845, dw = -0.07793, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 43, w1 = 6032.259, w2 = 5905.035, dw = -0.07711, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 44, w1 = 5969.431, w2 = 5843.534, dw = -0.0763, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 45, w1 = 5907.899, w2 = 5783.301, dw = -0.07551, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 46, w1 = 5847.622, w2 = 5724.298, dw = -0.07474, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 47, w1 = 5788.564, w2 = 5666.487, dw = -0.07399, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 48, w1 = 5730.686, w2 = 5609.832, dw = -0.07324, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 49, w1 = 5673.955, w2 = 5554.299, dw = -0.07252, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 50, w1 = 5618.336, w2 = 5499.855, dw = -0.07181, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 51, w1 = 5563.797, w2 = 5446.468, dw = -0.07111, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 52, w1 = 5510.307, w2 = 5394.108, dw = -0.07042, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 53, w1 = 5457.836, w2 = 5342.746, dw = -0.06975, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 54, w1 = 5406.355, w2 = 5292.353, dw = -0.06909, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 55, w1 = 5355.837, w2 = 5242.902, dw = -0.06845, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 56, w1 = 5306.254, w2 = 5194.366, dw = -0.06781, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 57, w1 = 5257.58, w2 = 5146.722, dw = -0.06719, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 58, w1 = 5209.792, w2 = 5099.943, dw = -0.06658, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 59, w1 = 5162.865, w2 = 5054.008, dw = -0.06597, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 60, w1 = 5116.776, w2 = 5008.893, dw = -0.06538, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 61, w1 = 5071.503, w2 = 4964.576, dw = -0.0648, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 62, w1 = 5027.024, w2 = 4921.038, dw = -0.06423, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 63, w1 = 4983.318, w2 = 4878.256, dw = -0.06367, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 64, w1 = 4940.367, w2 = 4836.212, dw = -0.06312, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 65, w1 = 4898.149, w2 = 4794.887, dw = -0.06258, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 66, w1 = 4856.647, w2 = 4754.262, dw = -0.06205, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 67, w1 = 4815.843, w2 = 4714.321, dw = -0.06153, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 68, w1 = 4775.719, w2 = 4675.045, dw = -0.06101, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 69, w1 = 4736.258, w2 = 4636.418, dw = -0.06051, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 70, w1 = 4697.444, w2 = 4598.424, dw = -0.06001, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 71, w1 = 4659.261, w2 = 4561.049, dw = -0.05952, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 72, w1 = 4621.694, w2 = 4524.276, dw = -0.05904, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 73, w1 = 4584.729, w2 = 4488.091, dw = -0.05857, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 74, w1 = 4548.35, w2 = 4452.481, dw = -0.0581, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 75, w1 = 4512.544, w2 = 4417.432, dw = -0.05764, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 76, w1 = 4477.297, w2 = 4382.931, dw = -0.05719, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 77, w1 = 4442.597, w2 = 4348.964, dw = -0.05675, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 78, w1 = 4408.431, w2 = 4315.52, dw = -0.05631, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 79, w1 = 4374.787, w2 = 4282.587, dw = -0.05588, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 80, w1 = 4341.652, w2 = 4250.152, dw = -0.05545, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 81, w1 = 4309.016, w2 = 4218.205, dw = -0.05504, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 82, w1 = 4276.867, w2 = 4186.735, dw = -0.05463, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 83, w1 = 4245.194, w2 = 4155.732, dw = -0.05422, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 84, w1 = 4213.987, w2 = 4125.184, dw = -0.05382, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 85, w1 = 4183.236, w2 = 4095.082, dw = -0.05343, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 86, w1 = 4152.93, w2 = 4065.416, dw = -0.05304, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 87, w1 = 4123.061, w2 = 4036.177, dw = -0.05266, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 88, w1 = 4093.618, w2 = 4007.356, dw = -0.05228, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 89, w1 = 4064.593, w2 = 3978.943, dw = -0.05191, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 90, w1 = 4035.977, w2 = 3950.931, dw = -0.05154, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 91, w1 = 4007.761, w2 = 3923.31, dw = -0.05118, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 92, w1 = 3979.937, w2 = 3896.072, dw = -0.05083, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 93, w1 = 3952.497, w2 = 3869.211, dw = -0.05048, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 94, w1 = 3925.433, w2 = 3842.717, dw = -0.05013, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 95, w1 = 3898.737, w2 = 3816.583, dw = -0.04979, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 96, w1 = 3872.401, w2 = 3790.803, dw = -0.04945, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 97, w1 = 3846.42, w2 = 3765.368, dw = -0.04912, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 98, w1 = 3820.785, w2 = 3740.272, dw = -0.0488, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 99, w1 = 3795.489, w2 = 3715.509, dw = -0.04847, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 100, w1 = 3770.526, w2 = 3691.071, dw = -0.04815, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 101, w1 = 3745.89, w2 = 3666.953, dw = -0.04784, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 102, w1 = 3721.573, w2 = 3643.147, dw = -0.04753, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 103, w1 = 3697.571, w2 = 3619.649, dw = -0.04723, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 104, w1 = 3673.876, w2 = 3596.451, dw = -0.04692, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 105, w1 = 3650.483, w2 = 3573.549, dw = -0.04663, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 106, w1 = 3627.386, w2 = 3550.937, dw = -0.04633, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 107, w1 = 3604.58, w2 = 3528.608, dw = -0.04604, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 108, w1 = 3582.059, w2 = 3506.559, dw = -0.04576, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 109, w1 = 3559.817, w2 = 3484.783, dw = -0.04548, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 110, w1 = 3537.851, w2 = 3463.276, dw = -0.0452, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 111, w1 = 3516.153, w2 = 3442.032, dw = -0.04492, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 112, w1 = 3494.721, w2 = 3421.047, dw = -0.04465, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 113, w1 = 3473.548, w2 = 3400.316, dw = -0.04438, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 114, w1 = 3452.631, w2 = 3379.835, dw = -0.04412, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 115, w1 = 3431.964, w2 = 3359.599, dw = -0.04386, nw = 1651 EchelleThAr.0016.ec.fits: REFSPEC1 = 'EchelleThAr.0016.ec 1.' zEchelleThAr.0016.ec.fits: ap = 1, w1 = 10811.88, w2 = 10583.75, dw = -0.13826, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 2, w1 = 10611.68, w2 = 10387.77, dw = -0.1357, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 3, w1 = 10418.76, w2 = 10198.92, dw = -0.13324, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 4, w1 = 10232.72, w2 = 10016.81, dw = -0.13086, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 5, w1 = 10053.22, w2 = 9841.09, dw = -0.12856, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 6, w1 = 9879.902, w2 = 9671.431, dw = -0.12635, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 7, w1 = 9712.46, w2 = 9507.523, dw = -0.1242, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 8, w1 = 9550.6, w2 = 9349.079, dw = -0.12213, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 9, w1 = 9394.047, w2 = 9195.829, dw = -0.12013, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 10, w1 = 9242.543, w2 = 9047.523, dw = -0.11819, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 11, w1 = 9095.849, w2 = 8903.925, dw = -0.11632, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 12, w1 = 8953.739, w2 = 8764.815, dw = -0.1145, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 13, w1 = 8816.002, w2 = 8629.985, dw = -0.11274, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 14, w1 = 8682.438, w2 = 8499.241, dw = -0.11103, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 15, w1 = 8552.861, w2 = 8372.399, dw = -0.10937, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 16, w1 = 8427.095, w2 = 8249.288, dw = -0.10776, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 17, w1 = 8304.974, w2 = 8129.746, dw = -0.1062, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 18, w1 = 8186.342, w2 = 8013.619, dw = -0.10468, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 19, w1 = 8071.052, w2 = 7900.763, dw = -0.10321, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 20, w1 = 7958.964, w2 = 7791.043, dw = -0.10177, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 21, w1 = 7849.947, w2 = 7684.328, dw = -0.10038, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 22, w1 = 7743.877, w2 = 7580.497, dw = -0.09902, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 23, w1 = 7640.635, w2 = 7479.436, dw = -0.0977, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 24, w1 = 7540.11, w2 = 7381.034, dw = -0.09641, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 25, w1 = 7442.196, w2 = 7285.187, dw = -0.09516, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 26, w1 = 7346.792, w2 = 7191.799, dw = -0.09394, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 27, w1 = 7253.804, w2 = 7100.775, dw = -0.09274, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 28, w1 = 7163.14, w2 = 7012.026, dw = -0.09158, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 29, w1 = 7074.715, w2 = 6925.469, dw = -0.09045, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 30, w1 = 6988.447, w2 = 6841.023, dw = -0.08935, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 31, w1 = 6904.257, w2 = 6758.611, dw = -0.08827, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 32, w1 = 6822.072, w2 = 6678.162, dw = -0.08722, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 33, w1 = 6741.821, w2 = 6599.606, dw = -0.08619, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 34, w1 = 6663.436, w2 = 6522.877, dw = -0.08519, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 35, w1 = 6586.853, w2 = 6447.912, dw = -0.08421, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 36, w1 = 6512.011, w2 = 6374.651, dw = -0.08325, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 37, w1 = 6438.851, w2 = 6303.036, dw = -0.08231, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 38, w1 = 6367.316, w2 = 6233.012, dw = -0.0814, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 39, w1 = 6297.354, w2 = 6164.528, dw = -0.0805, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 40, w1 = 6228.912, w2 = 6097.532, dw = -0.07962, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 41, w1 = 6161.943, w2 = 6031.977, dw = -0.07877, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 42, w1 = 6096.399, w2 = 5967.817, dw = -0.07793, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 43, w1 = 6032.234, w2 = 5905.008, dw = -0.07711, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 44, w1 = 5969.406, w2 = 5843.507, dw = -0.0763, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 45, w1 = 5907.874, w2 = 5783.275, dw = -0.07551, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 46, w1 = 5847.598, w2 = 5724.272, dw = -0.07474, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 47, w1 = 5788.539, w2 = 5666.461, dw = -0.07399, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 48, w1 = 5730.662, w2 = 5609.806, dw = -0.07325, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 49, w1 = 5673.93, w2 = 5554.273, dw = -0.07252, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 50, w1 = 5618.312, w2 = 5499.829, dw = -0.07181, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 51, w1 = 5563.773, w2 = 5446.442, dw = -0.07111, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 52, w1 = 5510.283, w2 = 5394.082, dw = -0.07042, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 53, w1 = 5457.812, w2 = 5342.72, dw = -0.06975, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 54, w1 = 5406.332, w2 = 5292.326, dw = -0.06909, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 55, w1 = 5355.813, w2 = 5242.875, dw = -0.06845, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 56, w1 = 5306.231, w2 = 5194.339, dw = -0.06781, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 57, w1 = 5257.558, w2 = 5146.694, dw = -0.06719, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 58, w1 = 5209.77, w2 = 5099.916, dw = -0.06658, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 59, w1 = 5162.843, w2 = 5053.98, dw = -0.06598, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 60, w1 = 5116.754, w2 = 5008.865, dw = -0.06539, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 61, w1 = 5071.482, w2 = 4964.548, dw = -0.06481, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 62, w1 = 5027.003, w2 = 4921.009, dw = -0.06424, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 63, w1 = 4983.298, w2 = 4878.227, dw = -0.06368, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 64, w1 = 4940.347, w2 = 4836.183, dw = -0.06313, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 65, w1 = 4898.13, w2 = 4794.858, dw = -0.06259, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 66, w1 = 4856.629, w2 = 4754.233, dw = -0.06206, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 67, w1 = 4815.825, w2 = 4714.291, dw = -0.06154, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 68, w1 = 4775.702, w2 = 4675.014, dw = -0.06102, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 69, w1 = 4736.241, w2 = 4636.388, dw = -0.06052, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 70, w1 = 4697.428, w2 = 4598.394, dw = -0.06002, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 71, w1 = 4659.246, w2 = 4561.018, dw = -0.05953, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 72, w1 = 4621.68, w2 = 4524.245, dw = -0.05905, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 73, w1 = 4584.715, w2 = 4488.061, dw = -0.05858, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 74, w1 = 4548.336, w2 = 4452.451, dw = -0.05811, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 75, w1 = 4512.531, w2 = 4417.402, dw = -0.05765, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 76, w1 = 4477.286, w2 = 4382.901, dw = -0.0572, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 77, w1 = 4442.586, w2 = 4348.935, dw = -0.05676, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 78, w1 = 4408.421, w2 = 4315.491, dw = -0.05632, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 79, w1 = 4374.777, w2 = 4282.558, dw = -0.05589, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 80, w1 = 4341.644, w2 = 4250.124, dw = -0.05547, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 81, w1 = 4309.008, w2 = 4218.178, dw = -0.05505, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 82, w1 = 4276.86, w2 = 4186.709, dw = -0.05464, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 83, w1 = 4245.188, w2 = 4155.707, dw = -0.05423, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 84, w1 = 4213.982, w2 = 4125.16, dw = -0.05383, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 85, w1 = 4183.231, w2 = 4095.059, dw = -0.05344, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 86, w1 = 4152.927, w2 = 4065.395, dw = -0.05305, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 87, w1 = 4123.058, w2 = 4036.158, dw = -0.05267, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 88, w1 = 4093.616, w2 = 4007.338, dw = -0.05229, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 89, w1 = 4064.592, w2 = 3978.927, dw = -0.05192, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 90, w1 = 4035.976, w2 = 3950.917, dw = -0.05155, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 91, w1 = 4007.761, w2 = 3923.298, dw = -0.05119, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 92, w1 = 3979.938, w2 = 3896.063, dw = -0.05083, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 93, w1 = 3952.498, w2 = 3869.204, dw = -0.05048, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 94, w1 = 3925.435, w2 = 3842.713, dw = -0.05013, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 95, w1 = 3898.74, w2 = 3816.583, dw = -0.04979, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 96, w1 = 3872.405, w2 = 3790.805, dw = -0.04945, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 97, w1 = 3846.424, w2 = 3765.374, dw = -0.04912, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 98, w1 = 3820.79, w2 = 3740.282, dw = -0.04879, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 99, w1 = 3795.495, w2 = 3715.523, dw = -0.04847, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 100, w1 = 3770.532, w2 = 3691.089, dw = -0.04815, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 101, w1 = 3745.897, w2 = 3666.975, dw = -0.04783, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 102, w1 = 3721.581, w2 = 3643.174, dw = -0.04752, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 103, w1 = 3697.579, w2 = 3619.681, dw = -0.04721, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 104, w1 = 3673.884, w2 = 3596.489, dw = -0.04691, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 105, w1 = 3650.492, w2 = 3573.592, dw = -0.04661, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 106, w1 = 3627.395, w2 = 3550.985, dw = -0.04631, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 107, w1 = 3604.589, w2 = 3528.663, dw = -0.04602, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 108, w1 = 3582.068, w2 = 3506.62, dw = -0.04573, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 109, w1 = 3559.827, w2 = 3484.851, dw = -0.04544, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 110, w1 = 3537.861, w2 = 3463.351, dw = -0.04516, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 111, w1 = 3516.164, w2 = 3442.115, dw = -0.04488, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 112, w1 = 3494.731, w2 = 3421.138, dw = -0.0446, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 113, w1 = 3473.559, w2 = 3400.415, dw = -0.04433, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 114, w1 = 3452.641, w2 = 3379.942, dw = -0.04406, nw = 1651 zEchelleThAr.0016.ec.fits: ap = 115, w1 = 3431.974, w2 = 3359.714, dw = -0.04379, nw = 1651 EchelleThAr.0020.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' zEchelleThAr.0020.ec.fits: ap = 1, w1 = 10811.85, w2 = 10583.72, dw = -0.13826, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 2, w1 = 10611.65, w2 = 10387.74, dw = -0.1357, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 3, w1 = 10418.73, w2 = 10198.89, dw = -0.13324, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 4, w1 = 10232.71, w2 = 10016.79, dw = -0.13086, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 5, w1 = 10053.2, w2 = 9841.073, dw = -0.12856, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 6, w1 = 9879.891, w2 = 9671.417, dw = -0.12635, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 7, w1 = 9712.453, w2 = 9507.511, dw = -0.12421, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 8, w1 = 9550.595, w2 = 9349.069, dw = -0.12214, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 9, w1 = 9394.044, w2 = 9195.821, dw = -0.12014, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 10, w1 = 9242.542, w2 = 9047.517, dw = -0.1182, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 11, w1 = 9095.85, w2 = 8903.92, dw = -0.11632, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 12, w1 = 8953.741, w2 = 8764.811, dw = -0.1145, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 13, w1 = 8816.004, w2 = 8629.982, dw = -0.11274, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 14, w1 = 8682.441, w2 = 8499.238, dw = -0.11103, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 15, w1 = 8552.864, w2 = 8372.397, dw = -0.10937, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 16, w1 = 8427.099, w2 = 8249.287, dw = -0.10776, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 17, w1 = 8304.978, w2 = 8129.745, dw = -0.1062, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 18, w1 = 8186.347, w2 = 8013.618, dw = -0.10468, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 19, w1 = 8071.057, w2 = 7900.763, dw = -0.10321, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 20, w1 = 7958.969, w2 = 7791.042, dw = -0.10177, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 21, w1 = 7849.952, w2 = 7684.328, dw = -0.10038, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 22, w1 = 7743.881, w2 = 7580.497, dw = -0.09902, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 23, w1 = 7640.639, w2 = 7479.435, dw = -0.0977, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 24, w1 = 7540.114, w2 = 7381.033, dw = -0.09641, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 25, w1 = 7442.2, w2 = 7285.187, dw = -0.09516, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 26, w1 = 7346.796, w2 = 7191.798, dw = -0.09394, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 27, w1 = 7253.807, w2 = 7100.773, dw = -0.09275, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 28, w1 = 7163.143, w2 = 7012.025, dw = -0.09159, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 29, w1 = 7074.718, w2 = 6925.467, dw = -0.09046, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 30, w1 = 6988.45, w2 = 6841.021, dw = -0.08935, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 31, w1 = 6904.26, w2 = 6758.609, dw = -0.08827, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 32, w1 = 6822.075, w2 = 6678.16, dw = -0.08722, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 33, w1 = 6741.823, w2 = 6599.604, dw = -0.08619, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 34, w1 = 6663.438, w2 = 6522.875, dw = -0.08519, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 35, w1 = 6586.855, w2 = 6447.909, dw = -0.08421, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 36, w1 = 6512.013, w2 = 6374.648, dw = -0.08325, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 37, w1 = 6438.853, w2 = 6303.033, dw = -0.08232, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 38, w1 = 6367.318, w2 = 6233.009, dw = -0.0814, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 39, w1 = 6297.356, w2 = 6164.525, dw = -0.0805, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 40, w1 = 6228.914, w2 = 6097.529, dw = -0.07963, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 41, w1 = 6161.945, w2 = 6031.974, dw = -0.07877, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 42, w1 = 6096.401, w2 = 5967.814, dw = -0.07793, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 43, w1 = 6032.236, w2 = 5905.005, dw = -0.07711, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 44, w1 = 5969.409, w2 = 5843.504, dw = -0.07631, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 45, w1 = 5907.877, w2 = 5783.272, dw = -0.07552, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 46, w1 = 5847.6, w2 = 5724.269, dw = -0.07475, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 47, w1 = 5788.542, w2 = 5666.458, dw = -0.07399, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 48, w1 = 5730.665, w2 = 5609.803, dw = -0.07325, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 49, w1 = 5673.934, w2 = 5554.27, dw = -0.07252, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 50, w1 = 5618.316, w2 = 5499.827, dw = -0.07181, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 51, w1 = 5563.777, w2 = 5446.44, dw = -0.07111, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 52, w1 = 5510.288, w2 = 5394.08, dw = -0.07043, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 53, w1 = 5457.817, w2 = 5342.718, dw = -0.06976, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 54, w1 = 5406.337, w2 = 5292.325, dw = -0.0691, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 55, w1 = 5355.819, w2 = 5242.874, dw = -0.06845, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 56, w1 = 5306.237, w2 = 5194.339, dw = -0.06782, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 57, w1 = 5257.564, w2 = 5146.694, dw = -0.06719, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 58, w1 = 5209.776, w2 = 5099.916, dw = -0.06658, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 59, w1 = 5162.85, w2 = 5053.98, dw = -0.06598, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 60, w1 = 5116.762, w2 = 5008.865, dw = -0.06539, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 61, w1 = 5071.489, w2 = 4964.549, dw = -0.06481, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 62, w1 = 5027.011, w2 = 4921.01, dw = -0.06424, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 63, w1 = 4983.306, w2 = 4878.229, dw = -0.06368, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 64, w1 = 4940.355, w2 = 4836.185, dw = -0.06313, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 65, w1 = 4898.138, w2 = 4794.86, dw = -0.06259, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 66, w1 = 4856.637, w2 = 4754.235, dw = -0.06206, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 67, w1 = 4815.833, w2 = 4714.293, dw = -0.06154, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 68, w1 = 4775.71, w2 = 4675.018, dw = -0.06103, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 69, w1 = 4736.249, w2 = 4636.391, dw = -0.06052, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 70, w1 = 4697.436, w2 = 4598.397, dw = -0.06002, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 71, w1 = 4659.254, w2 = 4561.022, dw = -0.05953, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 72, w1 = 4621.687, w2 = 4524.249, dw = -0.05905, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 73, w1 = 4584.721, w2 = 4488.065, dw = -0.05858, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 74, w1 = 4548.343, w2 = 4452.455, dw = -0.05811, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 75, w1 = 4512.537, w2 = 4417.406, dw = -0.05765, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 76, w1 = 4477.29, w2 = 4382.905, dw = -0.0572, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 77, w1 = 4442.59, w2 = 4348.939, dw = -0.05676, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 78, w1 = 4408.424, w2 = 4315.495, dw = -0.05632, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 79, w1 = 4374.779, w2 = 4282.562, dw = -0.05589, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 80, w1 = 4341.644, w2 = 4250.128, dw = -0.05546, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 81, w1 = 4309.007, w2 = 4218.182, dw = -0.05505, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 82, w1 = 4276.858, w2 = 4186.712, dw = -0.05463, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 83, w1 = 4245.184, w2 = 4155.709, dw = -0.05423, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 84, w1 = 4213.976, w2 = 4125.162, dw = -0.05383, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 85, w1 = 4183.223, w2 = 4095.06, dw = -0.05343, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 86, w1 = 4152.916, w2 = 4065.395, dw = -0.05304, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 87, w1 = 4123.045, w2 = 4036.157, dw = -0.05266, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 88, w1 = 4093.601, w2 = 4007.337, dw = -0.05228, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 89, w1 = 4064.574, w2 = 3978.925, dw = -0.05191, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 90, w1 = 4035.955, w2 = 3950.913, dw = -0.05154, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 91, w1 = 4007.737, w2 = 3923.294, dw = -0.05118, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 92, w1 = 3979.91, w2 = 3896.057, dw = -0.05082, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 93, w1 = 3952.467, w2 = 3869.197, dw = -0.05047, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 94, w1 = 3925.4, w2 = 3842.704, dw = -0.05012, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 95, w1 = 3898.7, w2 = 3816.572, dw = -0.04977, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 96, w1 = 3872.361, w2 = 3790.793, dw = -0.04944, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 97, w1 = 3846.376, w2 = 3765.36, dw = -0.0491, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 98, w1 = 3820.736, w2 = 3740.266, dw = -0.04877, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 99, w1 = 3795.436, w2 = 3715.504, dw = -0.04844, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 100, w1 = 3770.469, w2 = 3691.069, dw = -0.04812, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 101, w1 = 3745.827, w2 = 3666.952, dw = -0.0478, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 102, w1 = 3721.505, w2 = 3643.149, dw = -0.04749, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 103, w1 = 3697.497, w2 = 3619.652, dw = -0.04718, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 104, w1 = 3673.796, w2 = 3596.457, dw = -0.04687, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 105, w1 = 3650.396, w2 = 3573.557, dw = -0.04657, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 106, w1 = 3627.293, w2 = 3550.948, dw = -0.04627, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 107, w1 = 3604.479, w2 = 3528.622, dw = -0.04597, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 108, w1 = 3581.95, w2 = 3506.575, dw = -0.04568, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 109, w1 = 3559.701, w2 = 3484.802, dw = -0.04539, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 110, w1 = 3537.726, w2 = 3463.298, dw = -0.04511, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 111, w1 = 3516.02, w2 = 3442.058, dw = -0.04483, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 112, w1 = 3494.578, w2 = 3421.076, dw = -0.04455, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 113, w1 = 3473.396, w2 = 3400.349, dw = -0.04427, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 114, w1 = 3452.468, w2 = 3379.871, dw = -0.044, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 115, w1 = 3431.79, w2 = 3359.639, dw = -0.04373, nw = 1651 EchelleThAr.0024.ec.fits: REFSPEC1 = 'EchelleThAr.0024.ec 1.' zEchelleThAr.0024.ec.fits: ap = 1, w1 = 10811.91, w2 = 10583.73, dw = -0.13829, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 2, w1 = 10611.7, w2 = 10387.76, dw = -0.13573, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 3, w1 = 10418.78, w2 = 10198.91, dw = -0.13326, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 4, w1 = 10232.74, w2 = 10016.8, dw = -0.13087, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 5, w1 = 10053.24, w2 = 9841.084, dw = -0.12858, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 6, w1 = 9879.918, w2 = 9671.426, dw = -0.12636, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 7, w1 = 9712.475, w2 = 9507.52, dw = -0.12421, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 8, w1 = 9550.613, w2 = 9349.077, dw = -0.12214, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 9, w1 = 9394.058, w2 = 9195.829, dw = -0.12014, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 10, w1 = 9242.553, w2 = 9047.524, dw = -0.1182, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 11, w1 = 9095.858, w2 = 8903.927, dw = -0.11632, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 12, w1 = 8953.747, w2 = 8764.818, dw = -0.1145, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 13, w1 = 8816.008, w2 = 8629.988, dw = -0.11274, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 14, w1 = 8682.444, w2 = 8499.245, dw = -0.11103, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 15, w1 = 8552.866, w2 = 8372.404, dw = -0.10937, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 16, w1 = 8427.099, w2 = 8249.293, dw = -0.10776, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 17, w1 = 8304.978, w2 = 8129.751, dw = -0.1062, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 18, w1 = 8186.346, w2 = 8013.625, dw = -0.10468, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 19, w1 = 8071.055, w2 = 7900.769, dw = -0.1032, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 20, w1 = 7958.967, w2 = 7791.049, dw = -0.10177, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 21, w1 = 7849.95, w2 = 7684.334, dw = -0.10037, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 22, w1 = 7743.879, w2 = 7580.504, dw = -0.09902, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 23, w1 = 7640.637, w2 = 7479.442, dw = -0.09769, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 24, w1 = 7540.112, w2 = 7381.04, dw = -0.09641, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 25, w1 = 7442.198, w2 = 7285.194, dw = -0.09515, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 26, w1 = 7346.794, w2 = 7191.805, dw = -0.09393, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 27, w1 = 7253.806, w2 = 7100.781, dw = -0.09274, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 28, w1 = 7163.142, w2 = 7012.032, dw = -0.09158, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 29, w1 = 7074.717, w2 = 6925.475, dw = -0.09045, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 30, w1 = 6988.449, w2 = 6841.029, dw = -0.08935, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 31, w1 = 6904.26, w2 = 6758.617, dw = -0.08827, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 32, w1 = 6822.075, w2 = 6678.168, dw = -0.08722, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 33, w1 = 6741.824, w2 = 6599.612, dw = -0.08619, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 34, w1 = 6663.439, w2 = 6522.883, dw = -0.08519, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 35, w1 = 6586.856, w2 = 6447.917, dw = -0.08421, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 36, w1 = 6512.014, w2 = 6374.656, dw = -0.08325, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 37, w1 = 6438.854, w2 = 6303.041, dw = -0.08231, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 38, w1 = 6367.32, w2 = 6233.017, dw = -0.0814, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 39, w1 = 6297.358, w2 = 6164.532, dw = -0.0805, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 40, w1 = 6228.916, w2 = 6097.537, dw = -0.07962, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 41, w1 = 6161.947, w2 = 6031.982, dw = -0.07877, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 42, w1 = 6096.403, w2 = 5967.822, dw = -0.07793, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 43, w1 = 6032.239, w2 = 5905.012, dw = -0.07711, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 44, w1 = 5969.411, w2 = 5843.512, dw = -0.0763, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 45, w1 = 5907.879, w2 = 5783.279, dw = -0.07552, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 46, w1 = 5847.603, w2 = 5724.276, dw = -0.07474, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 47, w1 = 5788.545, w2 = 5666.465, dw = -0.07399, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 48, w1 = 5730.668, w2 = 5609.81, dw = -0.07325, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 49, w1 = 5673.937, w2 = 5554.277, dw = -0.07252, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 50, w1 = 5618.319, w2 = 5499.833, dw = -0.07181, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 51, w1 = 5563.781, w2 = 5446.446, dw = -0.07111, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 52, w1 = 5510.291, w2 = 5394.087, dw = -0.07043, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 53, w1 = 5457.821, w2 = 5342.724, dw = -0.06976, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 54, w1 = 5406.34, w2 = 5292.331, dw = -0.0691, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 55, w1 = 5355.822, w2 = 5242.879, dw = -0.06845, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 56, w1 = 5306.24, w2 = 5194.344, dw = -0.06782, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 57, w1 = 5257.568, w2 = 5146.699, dw = -0.06719, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 58, w1 = 5209.78, w2 = 5099.921, dw = -0.06658, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 59, w1 = 5162.854, w2 = 5053.985, dw = -0.06598, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 60, w1 = 5116.766, w2 = 5008.87, dw = -0.06539, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 61, w1 = 5071.494, w2 = 4964.554, dw = -0.06481, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 62, w1 = 5027.016, w2 = 4921.015, dw = -0.06424, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 63, w1 = 4983.312, w2 = 4878.233, dw = -0.06368, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 64, w1 = 4940.361, w2 = 4836.19, dw = -0.06313, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 65, w1 = 4898.145, w2 = 4794.864, dw = -0.06259, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 66, w1 = 4856.645, w2 = 4754.24, dw = -0.06206, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 67, w1 = 4815.842, w2 = 4714.298, dw = -0.06154, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 68, w1 = 4775.719, w2 = 4675.023, dw = -0.06103, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 69, w1 = 4736.26, w2 = 4636.396, dw = -0.06052, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 70, w1 = 4697.447, w2 = 4598.403, dw = -0.06003, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 71, w1 = 4659.266, w2 = 4561.028, dw = -0.05954, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 72, w1 = 4621.701, w2 = 4524.255, dw = -0.05906, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 73, w1 = 4584.737, w2 = 4488.071, dw = -0.05859, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 74, w1 = 4548.36, w2 = 4452.462, dw = -0.05812, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 75, w1 = 4512.556, w2 = 4417.414, dw = -0.05766, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 76, w1 = 4477.311, w2 = 4382.913, dw = -0.05721, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 77, w1 = 4442.613, w2 = 4348.947, dw = -0.05677, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 78, w1 = 4408.449, w2 = 4315.504, dw = -0.05633, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 79, w1 = 4374.807, w2 = 4282.572, dw = -0.0559, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 80, w1 = 4341.675, w2 = 4250.138, dw = -0.05548, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 81, w1 = 4309.041, w2 = 4218.193, dw = -0.05506, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 82, w1 = 4276.894, w2 = 4186.725, dw = -0.05465, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 83, w1 = 4245.224, w2 = 4155.722, dw = -0.05424, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 84, w1 = 4214.02, w2 = 4125.176, dw = -0.05384, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 85, w1 = 4183.271, w2 = 4095.076, dw = -0.05345, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 86, w1 = 4152.968, w2 = 4065.413, dw = -0.05306, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 87, w1 = 4123.102, w2 = 4036.176, dw = -0.05268, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 88, w1 = 4093.662, w2 = 4007.357, dw = -0.05231, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 89, w1 = 4064.64, w2 = 3978.947, dw = -0.05193, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 90, w1 = 4036.026, w2 = 3950.937, dw = -0.05157, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 91, w1 = 4007.814, w2 = 3923.319, dw = -0.05121, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 92, w1 = 3979.993, w2 = 3896.085, dw = -0.05085, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 93, w1 = 3952.556, w2 = 3869.227, dw = -0.0505, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 94, w1 = 3925.495, w2 = 3842.737, dw = -0.05016, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 95, w1 = 3898.802, w2 = 3816.607, dw = -0.04982, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 96, w1 = 3872.471, w2 = 3790.83, dw = -0.04948, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 97, w1 = 3846.493, w2 = 3765.4, dw = -0.04915, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 98, w1 = 3820.861, w2 = 3740.309, dw = -0.04882, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 99, w1 = 3795.569, w2 = 3715.55, dw = -0.0485, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 100, w1 = 3770.61, w2 = 3691.117, dw = -0.04818, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 101, w1 = 3745.978, w2 = 3667.004, dw = -0.04786, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 102, w1 = 3721.666, w2 = 3643.204, dw = -0.04755, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 103, w1 = 3697.667, w2 = 3619.711, dw = -0.04725, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 104, w1 = 3673.976, w2 = 3596.52, dw = -0.04694, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 105, w1 = 3650.588, w2 = 3573.624, dw = -0.04664, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 106, w1 = 3627.495, w2 = 3551.018, dw = -0.04635, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 107, w1 = 3604.694, w2 = 3528.696, dw = -0.04606, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 108, w1 = 3582.177, w2 = 3506.654, dw = -0.04577, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 109, w1 = 3559.94, w2 = 3484.886, dw = -0.04549, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 110, w1 = 3537.978, w2 = 3463.386, dw = -0.04521, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 111, w1 = 3516.286, w2 = 3442.151, dw = -0.04493, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 112, w1 = 3494.858, w2 = 3421.175, dw = -0.04466, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 113, w1 = 3473.691, w2 = 3400.453, dw = -0.04439, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 114, w1 = 3452.778, w2 = 3379.98, dw = -0.04412, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 115, w1 = 3432.116, w2 = 3359.753, dw = -0.04386, nw = 1651 EchelleThAr.0028.ec.fits: REFSPEC1 = 'EchelleThAr.0028.ec 1.' zEchelleThAr.0028.ec.fits: ap = 1, w1 = 10811.93, w2 = 10583.72, dw = -0.13831, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 2, w1 = 10611.72, w2 = 10387.74, dw = -0.13574, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 3, w1 = 10418.79, w2 = 10198.89, dw = -0.13327, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 4, w1 = 10232.75, w2 = 10016.78, dw = -0.13089, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 5, w1 = 10053.24, w2 = 9841.067, dw = -0.12859, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 6, w1 = 9879.916, w2 = 9671.409, dw = -0.12637, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 7, w1 = 9712.471, w2 = 9507.502, dw = -0.12422, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 8, w1 = 9550.607, w2 = 9349.059, dw = -0.12215, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 9, w1 = 9394.051, w2 = 9195.81, dw = -0.12015, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 10, w1 = 9242.544, w2 = 9047.505, dw = -0.11821, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 11, w1 = 9095.848, w2 = 8903.908, dw = -0.11633, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 12, w1 = 8953.736, w2 = 8764.798, dw = -0.11451, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 13, w1 = 8815.997, w2 = 8629.969, dw = -0.11274, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 14, w1 = 8682.432, w2 = 8499.225, dw = -0.11103, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 15, w1 = 8552.853, w2 = 8372.384, dw = -0.10938, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 16, w1 = 8427.087, w2 = 8249.273, dw = -0.10777, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 17, w1 = 8304.965, w2 = 8129.731, dw = -0.1062, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 18, w1 = 8186.333, w2 = 8013.605, dw = -0.10468, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 19, w1 = 8071.043, w2 = 7900.749, dw = -0.10321, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 20, w1 = 7958.955, w2 = 7791.029, dw = -0.10177, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 21, w1 = 7849.938, w2 = 7684.314, dw = -0.10038, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 22, w1 = 7743.868, w2 = 7580.484, dw = -0.09902, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 23, w1 = 7640.626, w2 = 7479.422, dw = -0.0977, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 24, w1 = 7540.101, w2 = 7381.02, dw = -0.09641, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 25, w1 = 7442.188, w2 = 7285.174, dw = -0.09516, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 26, w1 = 7346.785, w2 = 7191.786, dw = -0.09394, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 27, w1 = 7253.797, w2 = 7100.762, dw = -0.09275, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 28, w1 = 7163.134, w2 = 7012.014, dw = -0.09159, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 29, w1 = 7074.71, w2 = 6925.456, dw = -0.09046, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 30, w1 = 6988.442, w2 = 6841.011, dw = -0.08935, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 31, w1 = 6904.253, w2 = 6758.6, dw = -0.08827, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 32, w1 = 6822.069, w2 = 6678.151, dw = -0.08722, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 33, w1 = 6741.819, w2 = 6599.595, dw = -0.0862, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 34, w1 = 6663.434, w2 = 6522.866, dw = -0.08519, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 35, w1 = 6586.852, w2 = 6447.901, dw = -0.08421, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 36, w1 = 6512.011, w2 = 6374.64, dw = -0.08325, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 37, w1 = 6438.851, w2 = 6303.026, dw = -0.08232, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 38, w1 = 6367.317, w2 = 6233.002, dw = -0.0814, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 39, w1 = 6297.355, w2 = 6164.518, dw = -0.08051, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 40, w1 = 6228.914, w2 = 6097.523, dw = -0.07963, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 41, w1 = 6161.945, w2 = 6031.968, dw = -0.07877, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 42, w1 = 6096.401, w2 = 5967.809, dw = -0.07793, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 43, w1 = 6032.237, w2 = 5905., dw = -0.07711, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 44, w1 = 5969.41, w2 = 5843.5, dw = -0.07631, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 45, w1 = 5907.878, w2 = 5783.268, dw = -0.07552, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 46, w1 = 5847.602, w2 = 5724.265, dw = -0.07475, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 47, w1 = 5788.544, w2 = 5666.454, dw = -0.07399, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 48, w1 = 5730.667, w2 = 5609.8, dw = -0.07325, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 49, w1 = 5673.936, w2 = 5554.267, dw = -0.07253, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 50, w1 = 5618.317, w2 = 5499.824, dw = -0.07181, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 51, w1 = 5563.779, w2 = 5446.437, dw = -0.07112, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 52, w1 = 5510.289, w2 = 5394.078, dw = -0.07043, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 53, w1 = 5457.818, w2 = 5342.715, dw = -0.06976, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 54, w1 = 5406.338, w2 = 5292.322, dw = -0.0691, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 55, w1 = 5355.819, w2 = 5242.871, dw = -0.06845, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 56, w1 = 5306.236, w2 = 5194.336, dw = -0.06782, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 57, w1 = 5257.564, w2 = 5146.692, dw = -0.0672, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 58, w1 = 5209.776, w2 = 5099.913, dw = -0.06658, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 59, w1 = 5162.849, w2 = 5053.978, dw = -0.06598, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 60, w1 = 5116.76, w2 = 5008.863, dw = -0.06539, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 61, w1 = 5071.487, w2 = 4964.547, dw = -0.06481, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 62, w1 = 5027.009, w2 = 4921.008, dw = -0.06424, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 63, w1 = 4983.304, w2 = 4878.227, dw = -0.06368, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 64, w1 = 4940.352, w2 = 4836.183, dw = -0.06313, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 65, w1 = 4898.135, w2 = 4794.858, dw = -0.06259, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 66, w1 = 4856.634, w2 = 4754.233, dw = -0.06206, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 67, w1 = 4815.83, w2 = 4714.291, dw = -0.06154, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 68, w1 = 4775.706, w2 = 4675.015, dw = -0.06102, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 69, w1 = 4736.246, w2 = 4636.388, dw = -0.06052, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 70, w1 = 4697.432, w2 = 4598.395, dw = -0.06002, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 71, w1 = 4659.25, w2 = 4561.019, dw = -0.05953, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 72, w1 = 4621.684, w2 = 4524.246, dw = -0.05905, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 73, w1 = 4584.719, w2 = 4488.062, dw = -0.05858, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 74, w1 = 4548.34, w2 = 4452.452, dw = -0.05811, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 75, w1 = 4512.535, w2 = 4417.403, dw = -0.05766, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 76, w1 = 4477.289, w2 = 4382.902, dw = -0.0572, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 77, w1 = 4442.59, w2 = 4348.935, dw = -0.05676, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 78, w1 = 4408.425, w2 = 4315.491, dw = -0.05632, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 79, w1 = 4374.782, w2 = 4282.558, dw = -0.05589, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 80, w1 = 4341.648, w2 = 4250.124, dw = -0.05547, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 81, w1 = 4309.013, w2 = 4218.178, dw = -0.05505, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 82, w1 = 4276.865, w2 = 4186.708, dw = -0.05464, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 83, w1 = 4245.194, w2 = 4155.705, dw = -0.05424, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 84, w1 = 4213.988, w2 = 4125.157, dw = -0.05384, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 85, w1 = 4183.238, w2 = 4095.056, dw = -0.05344, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 86, w1 = 4152.934, w2 = 4065.391, dw = -0.05306, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 87, w1 = 4123.066, w2 = 4036.152, dw = -0.05267, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 88, w1 = 4093.625, w2 = 4007.332, dw = -0.0523, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 89, w1 = 4064.602, w2 = 3978.92, dw = -0.05193, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 90, w1 = 4035.987, w2 = 3950.909, dw = -0.05156, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 91, w1 = 4007.774, w2 = 3923.289, dw = -0.0512, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 92, w1 = 3979.952, w2 = 3896.053, dw = -0.05085, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 93, w1 = 3952.514, w2 = 3869.192, dw = -0.0505, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 94, w1 = 3925.452, w2 = 3842.7, dw = -0.05015, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 95, w1 = 3898.758, w2 = 3816.567, dw = -0.04981, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 96, w1 = 3872.426, w2 = 3790.788, dw = -0.04948, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 97, w1 = 3846.447, w2 = 3765.356, dw = -0.04915, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 98, w1 = 3820.814, w2 = 3740.262, dw = -0.04882, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 99, w1 = 3795.522, w2 = 3715.5, dw = -0.0485, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 100, w1 = 3770.562, w2 = 3691.064, dw = -0.04818, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 101, w1 = 3745.929, w2 = 3666.948, dw = -0.04787, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 102, w1 = 3721.616, w2 = 3643.145, dw = -0.04756, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 103, w1 = 3697.617, w2 = 3619.649, dw = -0.04725, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 104, w1 = 3673.925, w2 = 3596.454, dw = -0.04695, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 105, w1 = 3650.536, w2 = 3573.555, dw = -0.04666, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 106, w1 = 3627.443, w2 = 3550.945, dw = -0.04636, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 107, w1 = 3604.641, w2 = 3528.62, dw = -0.04607, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 108, w1 = 3582.124, w2 = 3506.574, dw = -0.04579, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 109, w1 = 3559.888, w2 = 3484.802, dw = -0.04551, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 110, w1 = 3537.926, w2 = 3463.298, dw = -0.04523, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 111, w1 = 3516.233, w2 = 3442.058, dw = -0.04495, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 112, w1 = 3494.806, w2 = 3421.077, dw = -0.04468, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 113, w1 = 3473.638, w2 = 3400.351, dw = -0.04442, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 114, w1 = 3452.726, w2 = 3379.874, dw = -0.04415, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 115, w1 = 3432.064, w2 = 3359.642, dw = -0.04389, nw = 1651 Continuum fitting the spectra... Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Combining spectra... Oct 16 15:00: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141016.0009.ec.fits[ 1] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 2] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 3] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 4] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 5] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 6] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 7] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 8] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 9] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 10] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 11] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 12] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 13] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 14] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 15] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 16] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 17] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 18] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 19] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 20] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 21] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 22] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 23] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 24] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 25] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 26] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 27] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 28] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 29] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 30] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 31] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 32] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 33] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 34] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 35] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 36] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 37] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 38] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 39] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 40] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 41] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 42] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 43] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 44] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 45] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 46] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 47] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 48] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 49] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 50] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 51] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 52] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 53] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 54] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 55] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 56] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 57] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 58] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 59] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 60] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 61] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 62] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 63] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 64] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 65] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 66] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 67] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 68] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 69] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 70] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 71] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 72] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 73] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 74] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 75] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 76] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 77] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 78] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 79] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 80] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 81] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 82] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 83] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 84] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 85] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 86] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 87] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 88] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 89] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 90] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 91] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 92] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 93] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 94] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 95] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 96] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 97] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 98] 600.0 1.000 0. 0.009 141016.0009.ec.fits[ 99] 600.0 1.000 0. 0.009 141016.0009.ec.fits[100] 600.0 1.000 0. 0.009 141016.0009.ec.fits[101] 600.0 1.000 0. 0.009 141016.0009.ec.fits[102] 600.0 1.000 0. 0.009 141016.0009.ec.fits[103] 600.0 1.000 0. 0.009 141016.0009.ec.fits[104] 600.0 1.000 0. 0.009 141016.0009.ec.fits[105] 600.0 1.000 0. 0.009 141016.0009.ec.fits[106] 600.0 1.000 0. 0.009 141016.0009.ec.fits[107] 600.0 1.000 0. 0.009 141016.0009.ec.fits[108] 600.0 1.000 0. 0.009 141016.0009.ec.fits[109] 600.0 1.000 0. 0.009 141016.0009.ec.fits[110] 600.0 1.000 0. 0.009 141016.0009.ec.fits[111] 600.0 1.000 0. 0.009 141016.0009.ec.fits[112] 600.0 1.000 0. 0.009 141016.0009.ec.fits[113] 600.0 1.000 0. 0.009 141016.0009.ec.fits[114] 600.0 1.000 0. 0.009 141016.0009.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sum141016.0009.ec.fits, ncombine = 115, exptime = 68999.99 w1 = 3359.746, w2 = 10811.87, dw = 0.04365423, nw = 170709., dtype = 0 Oct 16 15:01: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141016.0010.ec.fits[ 1] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 2] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 3] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 4] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 5] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 6] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 7] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 8] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 9] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 10] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 11] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 12] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 13] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 14] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 15] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 16] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 17] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 18] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 19] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 20] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 21] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 22] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 23] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 24] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 25] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 26] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 27] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 28] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 29] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 30] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 31] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 32] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 33] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 34] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 35] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 36] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 37] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 38] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 39] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 40] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 41] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 42] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 43] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 44] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 45] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 46] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 47] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 48] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 49] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 50] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 51] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 52] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 53] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 54] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 55] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 56] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 57] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 58] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 59] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 60] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 61] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 62] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 63] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 64] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 65] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 66] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 67] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 68] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 69] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 70] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 71] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 72] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 73] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 74] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 75] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 76] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 77] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 78] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 79] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 80] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 81] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 82] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 83] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 84] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 85] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 86] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 87] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 88] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 89] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 90] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 91] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 92] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 93] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 94] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 95] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 96] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 97] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 98] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[ 99] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[100] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[101] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[102] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[103] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[104] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[105] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[106] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[107] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[108] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[109] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[110] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[111] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[112] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[113] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[114] 1500.0 1.000 0. 0.009 141016.0010.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum141016.0010.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.7, w2 = 10811.9, dw = 0.04371791, nw = 170462., dtype = 0 Oct 16 15:02: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141016.0011.ec.fits[ 1] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 2] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 3] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 4] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 5] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 6] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 7] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 8] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 9] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 10] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 11] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 12] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 13] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 14] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 15] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 16] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 17] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 18] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 19] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 20] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 21] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 22] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 23] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 24] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 25] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 26] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 27] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 28] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 29] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 30] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 31] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 32] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 33] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 34] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 35] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 36] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 37] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 38] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 39] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 40] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 41] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 42] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 43] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 44] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 45] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 46] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 47] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 48] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 49] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 50] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 51] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 52] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 53] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 54] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 55] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 56] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 57] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 58] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 59] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 60] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 61] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 62] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 63] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 64] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 65] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 66] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 67] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 68] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 69] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 70] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 71] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 72] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 73] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 74] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 75] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 76] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 77] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 78] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 79] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 80] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 81] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 82] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 83] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 84] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 85] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 86] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 87] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 88] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 89] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 90] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 91] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 92] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 93] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 94] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 95] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 96] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 97] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 98] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[ 99] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[100] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[101] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[102] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[103] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[104] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[105] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[106] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[107] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[108] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[109] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[110] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[111] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[112] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[113] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[114] 1500.0 1.000 0. 0.009 141016.0011.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum141016.0011.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.634, w2 = 10811.94, dw = 0.04380823, nw = 170113., dtype = 0 Oct 16 15:02: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141016.0013.ec.fits[ 1] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 2] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 3] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 4] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 5] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 6] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 7] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 8] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 9] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 10] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 11] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 12] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 13] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 14] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 15] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 16] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 17] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 18] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 19] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 20] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 21] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 22] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 23] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 24] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 25] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 26] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 27] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 28] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 29] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 30] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 31] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 32] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 33] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 34] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 35] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 36] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 37] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 38] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 39] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 40] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 41] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 42] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 43] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 44] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 45] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 46] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 47] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 48] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 49] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 50] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 51] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 52] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 53] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 54] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 55] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 56] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 57] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 58] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 59] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 60] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 61] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 62] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 63] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 64] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 65] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 66] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 67] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 68] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 69] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 70] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 71] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 72] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 73] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 74] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 75] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 76] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 77] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 78] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 79] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 80] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 81] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 82] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 83] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 84] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 85] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 86] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 87] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 88] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 89] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 90] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 91] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 92] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 93] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 94] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 95] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 96] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 97] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 98] 900.0 1.000 0. 0.009 141016.0013.ec.fits[ 99] 900.0 1.000 0. 0.009 141016.0013.ec.fits[100] 900.0 1.000 0. 0.009 141016.0013.ec.fits[101] 900.0 1.000 0. 0.009 141016.0013.ec.fits[102] 900.0 1.000 0. 0.009 141016.0013.ec.fits[103] 900.0 1.000 0. 0.009 141016.0013.ec.fits[104] 900.0 1.000 0. 0.009 141016.0013.ec.fits[105] 900.0 1.000 0. 0.009 141016.0013.ec.fits[106] 900.0 1.000 0. 0.009 141016.0013.ec.fits[107] 900.0 1.000 0. 0.009 141016.0013.ec.fits[108] 900.0 1.000 0. 0.009 141016.0013.ec.fits[109] 900.0 1.000 0. 0.009 141016.0013.ec.fits[110] 900.0 1.000 0. 0.009 141016.0013.ec.fits[111] 900.0 1.000 0. 0.009 141016.0013.ec.fits[112] 900.0 1.000 0. 0.009 141016.0013.ec.fits[113] 900.0 1.000 0. 0.009 141016.0013.ec.fits[114] 900.0 1.000 0. 0.009 141016.0013.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum141016.0013.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.617, w2 = 10811.95, dw = 0.04384756, nw = 169961., dtype = 0 Oct 16 15:03: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141016.0014.ec.fits[ 1] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 2] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 3] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 4] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 5] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 6] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 7] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 8] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 9] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 10] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 11] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 12] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 13] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 14] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 15] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 16] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 17] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 18] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 19] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 20] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 21] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 22] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 23] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 24] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 25] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 26] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 27] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 28] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 29] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 30] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 31] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 32] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 33] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 34] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 35] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 36] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 37] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 38] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 39] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 40] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 41] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 42] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 43] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 44] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 45] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 46] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 47] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 48] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 49] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 50] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 51] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 52] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 53] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 54] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 55] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 56] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 57] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 58] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 59] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 60] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 61] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 62] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 63] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 64] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 65] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 66] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 67] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 68] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 69] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 70] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 71] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 72] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 73] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 74] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 75] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 76] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 77] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 78] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 79] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 80] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 81] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 82] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 83] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 84] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 85] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 86] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 87] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 88] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 89] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 90] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 91] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 92] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 93] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 94] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 95] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 96] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 97] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 98] 900.0 1.000 0. 0.009 141016.0014.ec.fits[ 99] 900.0 1.000 0. 0.009 141016.0014.ec.fits[100] 900.0 1.000 0. 0.009 141016.0014.ec.fits[101] 900.0 1.000 0. 0.009 141016.0014.ec.fits[102] 900.0 1.000 0. 0.009 141016.0014.ec.fits[103] 900.0 1.000 0. 0.009 141016.0014.ec.fits[104] 900.0 1.000 0. 0.009 141016.0014.ec.fits[105] 900.0 1.000 0. 0.009 141016.0014.ec.fits[106] 900.0 1.000 0. 0.009 141016.0014.ec.fits[107] 900.0 1.000 0. 0.009 141016.0014.ec.fits[108] 900.0 1.000 0. 0.009 141016.0014.ec.fits[109] 900.0 1.000 0. 0.009 141016.0014.ec.fits[110] 900.0 1.000 0. 0.009 141016.0014.ec.fits[111] 900.0 1.000 0. 0.009 141016.0014.ec.fits[112] 900.0 1.000 0. 0.009 141016.0014.ec.fits[113] 900.0 1.000 0. 0.009 141016.0014.ec.fits[114] 900.0 1.000 0. 0.009 141016.0014.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum141016.0014.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.649, w2 = 10811.93, dw = 0.0438297, nw = 170029., dtype = 0 Oct 16 15:03: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141016.0015.ec.fits[ 1] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 2] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 3] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 4] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 5] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 6] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 7] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 8] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 9] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 10] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 11] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 12] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 13] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 14] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 15] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 16] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 17] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 18] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 19] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 20] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 21] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 22] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 23] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 24] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 25] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 26] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 27] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 28] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 29] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 30] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 31] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 32] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 33] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 34] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 35] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 36] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 37] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 38] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 39] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 40] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 41] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 42] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 43] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 44] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 45] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 46] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 47] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 48] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 49] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 50] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 51] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 52] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 53] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 54] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 55] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 56] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 57] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 58] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 59] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 60] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 61] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 62] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 63] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 64] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 65] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 66] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 67] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 68] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 69] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 70] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 71] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 72] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 73] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 74] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 75] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 76] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 77] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 78] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 79] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 80] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 81] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 82] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 83] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 84] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 85] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 86] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 87] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 88] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 89] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 90] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 91] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 92] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 93] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 94] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 95] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 96] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 97] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 98] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[ 99] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[100] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[101] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[102] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[103] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[104] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[105] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[106] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[107] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[108] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[109] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[110] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[111] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[112] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[113] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[114] 1500.0 1.000 0. 0.009 141016.0015.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum141016.0015.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.688, w2 = 10811.9, dw = 0.04380819, nw = 170111., dtype = 0 Oct 16 15:04: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141016.0017.ec.fits[ 1] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 2] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 3] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 4] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 5] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 6] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 7] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 8] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 9] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 10] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 11] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 12] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 13] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 14] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 15] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 16] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 17] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 18] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 19] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 20] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 21] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 22] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 23] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 24] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 25] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 26] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 27] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 28] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 29] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 30] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 31] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 32] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 33] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 34] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 35] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 36] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 37] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 38] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 39] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 40] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 41] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 42] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 43] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 44] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 45] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 46] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 47] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 48] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 49] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 50] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 51] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 52] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 53] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 54] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 55] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 56] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 57] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 58] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 59] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 60] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 61] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 62] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 63] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 64] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 65] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 66] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 67] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 68] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 69] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 70] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 71] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 72] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 73] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 74] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 75] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 76] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 77] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 78] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 79] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 80] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 81] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 82] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 83] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 84] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 85] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 86] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 87] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 88] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 89] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 90] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 91] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 92] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 93] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 94] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 95] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 96] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 97] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 98] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[ 99] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[100] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[101] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[102] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[103] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[104] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[105] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[106] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[107] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[108] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[109] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[110] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[111] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[112] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[113] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[114] 1500.0 1.000 0. 0.009 141016.0017.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum141016.0017.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.698, w2 = 10811.87, dw = 0.04377891, nw = 170224., dtype = 0 Oct 16 15:05: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141016.0018.ec.fits[ 1] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 2] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 3] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 4] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 5] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 6] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 7] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 8] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 9] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 10] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 11] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 12] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 13] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 14] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 15] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 16] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 17] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 18] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 19] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 20] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 21] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 22] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 23] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 24] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 25] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 26] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 27] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 28] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 29] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 30] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 31] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 32] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 33] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 34] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 35] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 36] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 37] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 38] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 39] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 40] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 41] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 42] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 43] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 44] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 45] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 46] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 47] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 48] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 49] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 50] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 51] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 52] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 53] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 54] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 55] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 56] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 57] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 58] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 59] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 60] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 61] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 62] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 63] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 64] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 65] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 66] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 67] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 68] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 69] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 70] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 71] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 72] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 73] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 74] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 75] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 76] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 77] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 78] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 79] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 80] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 81] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 82] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 83] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 84] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 85] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 86] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 87] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 88] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 89] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 90] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 91] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 92] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 93] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 94] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 95] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 96] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 97] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 98] 720.0 1.000 0. 0.009 141016.0018.ec.fits[ 99] 720.0 1.000 0. 0.009 141016.0018.ec.fits[100] 720.0 1.000 0. 0.009 141016.0018.ec.fits[101] 720.0 1.000 0. 0.009 141016.0018.ec.fits[102] 720.0 1.000 0. 0.009 141016.0018.ec.fits[103] 720.0 1.000 0. 0.009 141016.0018.ec.fits[104] 720.0 1.000 0. 0.009 141016.0018.ec.fits[105] 720.0 1.000 0. 0.009 141016.0018.ec.fits[106] 720.0 1.000 0. 0.009 141016.0018.ec.fits[107] 720.0 1.000 0. 0.009 141016.0018.ec.fits[108] 720.0 1.000 0. 0.009 141016.0018.ec.fits[109] 720.0 1.000 0. 0.009 141016.0018.ec.fits[110] 720.0 1.000 0. 0.009 141016.0018.ec.fits[111] 720.0 1.000 0. 0.009 141016.0018.ec.fits[112] 720.0 1.000 0. 0.009 141016.0018.ec.fits[113] 720.0 1.000 0. 0.009 141016.0018.ec.fits[114] 720.0 1.000 0. 0.009 141016.0018.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum141016.0018.ec.fits, ncombine = 115, exptime = 82800.01 w1 = 3359.673, w2 = 10811.86, dw = 0.04375817, nw = 170305., dtype = 0 Oct 16 15:05: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141016.0019.ec.fits[ 1] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 2] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 3] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 4] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 5] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 6] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 7] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 8] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 9] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 10] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 11] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 12] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 13] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 14] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 15] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 16] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 17] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 18] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 19] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 20] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 21] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 22] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 23] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 24] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 25] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 26] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 27] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 28] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 29] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 30] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 31] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 32] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 33] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 34] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 35] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 36] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 37] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 38] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 39] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 40] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 41] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 42] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 43] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 44] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 45] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 46] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 47] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 48] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 49] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 50] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 51] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 52] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 53] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 54] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 55] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 56] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 57] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 58] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 59] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 60] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 61] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 62] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 63] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 64] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 65] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 66] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 67] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 68] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 69] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 70] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 71] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 72] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 73] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 74] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 75] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 76] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 77] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 78] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 79] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 80] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 81] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 82] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 83] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 84] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 85] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 86] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 87] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 88] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 89] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 90] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 91] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 92] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 93] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 94] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 95] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 96] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 97] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 98] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[ 99] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[100] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[101] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[102] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[103] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[104] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[105] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[106] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[107] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[108] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[109] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[110] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[111] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[112] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[113] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[114] 1200.0 1.000 0. 0.009 141016.0019.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum141016.0019.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.653, w2 = 10811.86, dw = 0.04374103, nw = 170372., dtype = 0 Oct 16 15:06: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141016.0021.ec.fits[ 1] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 2] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 3] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 4] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 5] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 6] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 7] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 8] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 9] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 10] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 11] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 12] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 13] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 14] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 15] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 16] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 17] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 18] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 19] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 20] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 21] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 22] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 23] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 24] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 25] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 26] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 27] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 28] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 29] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 30] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 31] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 32] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 33] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 34] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 35] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 36] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 37] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 38] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 39] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 40] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 41] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 42] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 43] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 44] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 45] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 46] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 47] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 48] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 49] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 50] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 51] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 52] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 53] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 54] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 55] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 56] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 57] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 58] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 59] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 60] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 61] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 62] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 63] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 64] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 65] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 66] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 67] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 68] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 69] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 70] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 71] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 72] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 73] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 74] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 75] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 76] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 77] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 78] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 79] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 80] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 81] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 82] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 83] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 84] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 85] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 86] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 87] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 88] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 89] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 90] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 91] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 92] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 93] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 94] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 95] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 96] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 97] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 98] 900.0 1.000 0. 0.009 141016.0021.ec.fits[ 99] 900.0 1.000 0. 0.009 141016.0021.ec.fits[100] 900.0 1.000 0. 0.009 141016.0021.ec.fits[101] 900.0 1.000 0. 0.009 141016.0021.ec.fits[102] 900.0 1.000 0. 0.009 141016.0021.ec.fits[103] 900.0 1.000 0. 0.009 141016.0021.ec.fits[104] 900.0 1.000 0. 0.009 141016.0021.ec.fits[105] 900.0 1.000 0. 0.009 141016.0021.ec.fits[106] 900.0 1.000 0. 0.009 141016.0021.ec.fits[107] 900.0 1.000 0. 0.009 141016.0021.ec.fits[108] 900.0 1.000 0. 0.009 141016.0021.ec.fits[109] 900.0 1.000 0. 0.009 141016.0021.ec.fits[110] 900.0 1.000 0. 0.009 141016.0021.ec.fits[111] 900.0 1.000 0. 0.009 141016.0021.ec.fits[112] 900.0 1.000 0. 0.009 141016.0021.ec.fits[113] 900.0 1.000 0. 0.009 141016.0021.ec.fits[114] 900.0 1.000 0. 0.009 141016.0021.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum141016.0021.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.656, w2 = 10811.86, dw = 0.0437477, nw = 170346., dtype = 0 Oct 16 15:06: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141016.0022.ec.fits[ 1] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 2] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 3] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 4] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 5] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 6] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 7] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 8] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 9] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 10] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 11] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 12] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 13] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 14] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 15] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 16] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 17] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 18] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 19] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 20] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 21] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 22] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 23] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 24] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 25] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 26] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 27] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 28] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 29] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 30] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 31] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 32] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 33] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 34] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 35] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 36] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 37] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 38] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 39] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 40] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 41] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 42] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 43] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 44] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 45] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 46] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 47] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 48] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 49] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 50] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 51] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 52] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 53] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 54] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 55] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 56] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 57] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 58] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 59] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 60] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 61] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 62] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 63] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 64] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 65] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 66] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 67] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 68] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 69] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 70] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 71] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 72] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 73] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 74] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 75] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 76] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 77] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 78] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 79] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 80] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 81] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 82] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 83] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 84] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 85] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 86] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 87] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 88] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 89] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 90] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 91] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 92] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 93] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 94] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 95] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 96] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 97] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 98] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[ 99] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[100] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[101] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[102] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[103] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[104] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[105] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[106] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[107] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[108] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[109] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[110] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[111] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[112] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[113] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[114] 1200.0 1.000 0. 0.009 141016.0022.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum141016.0022.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.688, w2 = 10811.88, dw = 0.04378359, nw = 170206., dtype = 0 Oct 16 15:07: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141016.0023.ec.fits[ 1] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 2] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 3] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 4] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 5] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 6] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 7] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 8] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 9] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 10] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 11] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 12] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 13] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 14] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 15] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 16] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 17] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 18] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 19] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 20] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 21] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 22] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 23] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 24] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 25] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 26] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 27] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 28] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 29] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 30] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 31] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 32] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 33] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 34] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 35] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 36] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 37] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 38] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 39] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 40] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 41] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 42] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 43] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 44] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 45] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 46] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 47] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 48] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 49] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 50] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 51] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 52] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 53] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 54] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 55] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 56] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 57] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 58] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 59] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 60] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 61] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 62] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 63] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 64] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 65] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 66] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 67] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 68] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 69] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 70] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 71] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 72] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 73] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 74] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 75] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 76] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 77] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 78] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 79] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 80] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 81] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 82] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 83] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 84] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 85] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 86] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 87] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 88] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 89] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 90] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 91] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 92] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 93] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 94] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 95] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 96] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 97] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 98] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[ 99] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[100] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[101] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[102] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[103] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[104] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[105] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[106] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[107] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[108] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[109] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[110] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[111] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[112] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[113] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[114] 1500.0 1.000 0. 0.009 141016.0023.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum141016.0023.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.729, w2 = 10811.9, dw = 0.04382932, nw = 170028., dtype = 0 Oct 16 15:08: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141016.0025.ec.fits[ 1] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 2] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 3] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 4] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 5] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 6] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 7] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 8] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 9] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 10] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 11] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 12] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 13] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 14] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 15] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 16] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 17] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 18] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 19] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 20] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 21] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 22] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 23] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 24] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 25] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 26] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 27] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 28] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 29] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 30] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 31] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 32] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 33] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 34] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 35] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 36] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 37] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 38] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 39] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 40] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 41] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 42] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 43] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 44] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 45] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 46] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 47] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 48] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 49] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 50] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 51] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 52] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 53] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 54] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 55] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 56] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 57] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 58] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 59] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 60] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 61] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 62] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 63] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 64] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 65] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 66] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 67] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 68] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 69] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 70] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 71] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 72] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 73] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 74] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 75] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 76] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 77] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 78] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 79] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 80] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 81] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 82] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 83] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 84] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 85] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 86] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 87] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 88] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 89] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 90] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 91] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 92] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 93] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 94] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 95] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 96] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 97] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 98] 900.0 1.000 0. 0.009 141016.0025.ec.fits[ 99] 900.0 1.000 0. 0.009 141016.0025.ec.fits[100] 900.0 1.000 0. 0.009 141016.0025.ec.fits[101] 900.0 1.000 0. 0.009 141016.0025.ec.fits[102] 900.0 1.000 0. 0.009 141016.0025.ec.fits[103] 900.0 1.000 0. 0.009 141016.0025.ec.fits[104] 900.0 1.000 0. 0.009 141016.0025.ec.fits[105] 900.0 1.000 0. 0.009 141016.0025.ec.fits[106] 900.0 1.000 0. 0.009 141016.0025.ec.fits[107] 900.0 1.000 0. 0.009 141016.0025.ec.fits[108] 900.0 1.000 0. 0.009 141016.0025.ec.fits[109] 900.0 1.000 0. 0.009 141016.0025.ec.fits[110] 900.0 1.000 0. 0.009 141016.0025.ec.fits[111] 900.0 1.000 0. 0.009 141016.0025.ec.fits[112] 900.0 1.000 0. 0.009 141016.0025.ec.fits[113] 900.0 1.000 0. 0.009 141016.0025.ec.fits[114] 900.0 1.000 0. 0.009 141016.0025.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum141016.0025.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.735, w2 = 10811.91, dw = 0.04386239, nw = 169900., dtype = 0 Oct 16 15:08: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141016.0026.ec.fits[ 1] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 2] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 3] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 4] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 5] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 6] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 7] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 8] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 9] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 10] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 11] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 12] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 13] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 14] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 15] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 16] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 17] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 18] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 19] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 20] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 21] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 22] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 23] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 24] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 25] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 26] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 27] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 28] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 29] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 30] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 31] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 32] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 33] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 34] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 35] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 36] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 37] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 38] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 39] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 40] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 41] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 42] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 43] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 44] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 45] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 46] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 47] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 48] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 49] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 50] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 51] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 52] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 53] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 54] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 55] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 56] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 57] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 58] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 59] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 60] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 61] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 62] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 63] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 64] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 65] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 66] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 67] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 68] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 69] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 70] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 71] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 72] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 73] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 74] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 75] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 76] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 77] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 78] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 79] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 80] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 81] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 82] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 83] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 84] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 85] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 86] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 87] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 88] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 89] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 90] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 91] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 92] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 93] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 94] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 95] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 96] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 97] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 98] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[ 99] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[100] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[101] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[102] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[103] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[104] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[105] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[106] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[107] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[108] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[109] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[110] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[111] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[112] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[113] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[114] 1200.0 1.000 0. 0.009 141016.0026.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum141016.0026.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.696, w2 = 10811.92, dw = 0.0438748, nw = 169853., dtype = 0 Oct 16 15:09: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141016.0027.ec.fits[ 1] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 2] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 3] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 4] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 5] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 6] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 7] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 8] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 9] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 10] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 11] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 12] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 13] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 14] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 15] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 16] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 17] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 18] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 19] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 20] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 21] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 22] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 23] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 24] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 25] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 26] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 27] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 28] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 29] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 30] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 31] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 32] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 33] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 34] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 35] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 36] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 37] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 38] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 39] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 40] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 41] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 42] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 43] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 44] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 45] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 46] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 47] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 48] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 49] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 50] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 51] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 52] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 53] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 54] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 55] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 56] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 57] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 58] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 59] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 60] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 61] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 62] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 63] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 64] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 65] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 66] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 67] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 68] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 69] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 70] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 71] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 72] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 73] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 74] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 75] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 76] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 77] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 78] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 79] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 80] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 81] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 82] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 83] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 84] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 85] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 86] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 87] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 88] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 89] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 90] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 91] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 92] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 93] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 94] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 95] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 96] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 97] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 98] 900.0 1.000 0. 0.009 141016.0027.ec.fits[ 99] 900.0 1.000 0. 0.009 141016.0027.ec.fits[100] 900.0 1.000 0. 0.009 141016.0027.ec.fits[101] 900.0 1.000 0. 0.009 141016.0027.ec.fits[102] 900.0 1.000 0. 0.009 141016.0027.ec.fits[103] 900.0 1.000 0. 0.009 141016.0027.ec.fits[104] 900.0 1.000 0. 0.009 141016.0027.ec.fits[105] 900.0 1.000 0. 0.009 141016.0027.ec.fits[106] 900.0 1.000 0. 0.009 141016.0027.ec.fits[107] 900.0 1.000 0. 0.009 141016.0027.ec.fits[108] 900.0 1.000 0. 0.009 141016.0027.ec.fits[109] 900.0 1.000 0. 0.009 141016.0027.ec.fits[110] 900.0 1.000 0. 0.009 141016.0027.ec.fits[111] 900.0 1.000 0. 0.009 141016.0027.ec.fits[112] 900.0 1.000 0. 0.009 141016.0027.ec.fits[113] 900.0 1.000 0. 0.009 141016.0027.ec.fits[114] 900.0 1.000 0. 0.009 141016.0027.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum141016.0027.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.661, w2 = 10811.92, dw = 0.0438864, nw = 169809., dtype = 0 Oct 16 15:09: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141016.0009.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[100] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[101] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[102] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[103] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[104] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[105] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[106] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[107] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[108] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[109] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[110] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[111] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[112] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[113] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[114] 600.0 1.000 0. 0.009 fitcont141016.0009.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumfitcont141016.0009.ec.fits, ncombine = 115, exptime = 68999.99 w1 = 3359.746, w2 = 10811.87, dw = 0.04365423, nw = 170709., dtype = 0 Oct 16 15:10: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141016.0010.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont141016.0010.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont141016.0010.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.7, w2 = 10811.9, dw = 0.04371791, nw = 170462., dtype = 0 Oct 16 15:10: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141016.0011.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont141016.0011.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont141016.0011.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.634, w2 = 10811.94, dw = 0.04380823, nw = 170113., dtype = 0 Oct 16 15:11: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141016.0013.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[100] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[101] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[102] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[103] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[104] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[105] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[106] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[107] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[108] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[109] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[110] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[111] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[112] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[113] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[114] 900.0 1.000 0. 0.009 fitcont141016.0013.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont141016.0013.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.617, w2 = 10811.95, dw = 0.04384756, nw = 169961., dtype = 0 Oct 16 15:12: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141016.0014.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[100] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[101] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[102] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[103] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[104] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[105] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[106] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[107] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[108] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[109] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[110] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[111] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[112] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[113] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[114] 900.0 1.000 0. 0.009 fitcont141016.0014.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont141016.0014.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.649, w2 = 10811.93, dw = 0.0438297, nw = 170029., dtype = 0 Oct 16 15:12: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141016.0015.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont141016.0015.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont141016.0015.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.688, w2 = 10811.9, dw = 0.04380819, nw = 170111., dtype = 0 Oct 16 15:13: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141016.0017.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont141016.0017.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont141016.0017.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.698, w2 = 10811.87, dw = 0.04377891, nw = 170224., dtype = 0 Oct 16 15:13: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141016.0018.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[100] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[101] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[102] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[103] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[104] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[105] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[106] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[107] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[108] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[109] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[110] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[111] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[112] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[113] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[114] 720.0 1.000 0. 0.009 fitcont141016.0018.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont141016.0018.ec.fits, ncombine = 115, exptime = 82800.01 w1 = 3359.673, w2 = 10811.86, dw = 0.04375817, nw = 170305., dtype = 0 Oct 16 15:14: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141016.0019.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont141016.0019.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont141016.0019.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.653, w2 = 10811.86, dw = 0.04374103, nw = 170372., dtype = 0 Oct 16 15:15: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141016.0021.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[100] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[101] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[102] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[103] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[104] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[105] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[106] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[107] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[108] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[109] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[110] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[111] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[112] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[113] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[114] 900.0 1.000 0. 0.009 fitcont141016.0021.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont141016.0021.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.656, w2 = 10811.86, dw = 0.0437477, nw = 170346., dtype = 0 Oct 16 15:15: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141016.0022.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont141016.0022.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont141016.0022.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.688, w2 = 10811.88, dw = 0.04378359, nw = 170206., dtype = 0 Oct 16 15:16: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141016.0023.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont141016.0023.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont141016.0023.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.729, w2 = 10811.9, dw = 0.04382932, nw = 170028., dtype = 0 Oct 16 15:16: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141016.0025.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[100] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[101] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[102] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[103] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[104] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[105] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[106] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[107] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[108] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[109] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[110] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[111] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[112] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[113] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[114] 900.0 1.000 0. 0.009 fitcont141016.0025.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont141016.0025.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.735, w2 = 10811.91, dw = 0.04386239, nw = 169900., dtype = 0 Oct 16 15:17: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141016.0026.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont141016.0026.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont141016.0026.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.696, w2 = 10811.92, dw = 0.0438748, nw = 169853., dtype = 0 Oct 16 15:18: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141016.0027.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[100] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[101] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[102] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[103] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[104] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[105] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[106] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[107] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[108] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[109] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[110] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[111] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[112] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[113] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[114] 900.0 1.000 0. 0.009 fitcont141016.0027.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont141016.0027.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.661, w2 = 10811.92, dw = 0.0438864, nw = 169809., dtype = 0 68999.99 fullspec141016.0009.ec.fits,EXPTIME: 68999.99 -> 599.999913043 fullspec141016.0009.ec.fits updated 172500. fullspec141016.0010.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec141016.0010.ec.fits updated 172500. fullspec141016.0011.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec141016.0011.ec.fits updated 103500. fullspec141016.0013.ec.fits,EXPTIME: 103500. -> 900.0 fullspec141016.0013.ec.fits updated 103500. fullspec141016.0014.ec.fits,EXPTIME: 103500. -> 900.0 fullspec141016.0014.ec.fits updated 172500. fullspec141016.0015.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec141016.0015.ec.fits updated 172500. fullspec141016.0017.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec141016.0017.ec.fits updated 82800.01 fullspec141016.0018.ec.fits,EXPTIME: 82800.01 -> 720.000086957 fullspec141016.0018.ec.fits updated 138000. fullspec141016.0019.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec141016.0019.ec.fits updated 103500. fullspec141016.0021.ec.fits,EXPTIME: 103500. -> 900.0 fullspec141016.0021.ec.fits updated 138000. fullspec141016.0022.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec141016.0022.ec.fits updated 172500. fullspec141016.0023.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec141016.0023.ec.fits updated 103500. fullspec141016.0025.ec.fits,EXPTIME: 103500. -> 900.0 fullspec141016.0025.ec.fits updated 138000. fullspec141016.0026.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec141016.0026.ec.fits updated 103500. fullspec141016.0027.ec.fits,EXPTIME: 103500. -> 900.0 fullspec141016.0027.ec.fits updated ALL DONE! Yay! (=^.^=)