Copying data files and other necessary files Changing to reduced data directory Generating file lists... Setting dispaxis... add 130613.0021.fits,dispaxis = 1 130613.0021.fits updated add 130613.0022.fits,dispaxis = 1 130613.0022.fits updated add 130613.0023.fits,dispaxis = 1 130613.0023.fits updated add 130613.0024.fits,dispaxis = 1 130613.0024.fits updated add 130613.0025.fits,dispaxis = 1 130613.0025.fits updated add 130613.0027.fits,dispaxis = 1 130613.0027.fits updated add 130613.0028.fits,dispaxis = 1 130613.0028.fits updated add 130613.0029.fits,dispaxis = 1 130613.0029.fits updated add 130613.0031.fits,dispaxis = 1 130613.0031.fits updated add 130613.0032.fits,dispaxis = 1 130613.0032.fits updated add EchelleBias.0001.fits,dispaxis = 1 EchelleBias.0001.fits updated add EchelleBias.0002.fits,dispaxis = 1 EchelleBias.0002.fits updated add EchelleBias.0003.fits,dispaxis = 1 EchelleBias.0003.fits updated add EchelleBias.0004.fits,dispaxis = 1 EchelleBias.0004.fits updated add EchelleBias.0005.fits,dispaxis = 1 EchelleBias.0005.fits updated add EchelleBias.0006.fits,dispaxis = 1 EchelleBias.0006.fits updated add EchelleBias.0007.fits,dispaxis = 1 EchelleBias.0007.fits updated add EchelleBias.0008.fits,dispaxis = 1 EchelleBias.0008.fits updated add EchelleBias.0009.fits,dispaxis = 1 EchelleBias.0009.fits updated add EchelleBias.0010.fits,dispaxis = 1 EchelleBias.0010.fits updated add EchelleFlat.0011.fits,dispaxis = 1 EchelleFlat.0011.fits updated add EchelleFlat.0012.fits,dispaxis = 1 EchelleFlat.0012.fits updated add EchelleFlat.0013.fits,dispaxis = 1 EchelleFlat.0013.fits updated add EchelleFlatBlue.0014.fits,dispaxis = 1 EchelleFlatBlue.0014.fits updated add EchelleFlatBlue.0015.fits,dispaxis = 1 EchelleFlatBlue.0015.fits updated add EchelleFlatBlue.0016.fits,dispaxis = 1 EchelleFlatBlue.0016.fits updated add EchelleThAr.0017.fits,dispaxis = 1 EchelleThAr.0017.fits updated add EchelleThAr.0018.fits,dispaxis = 1 EchelleThAr.0018.fits updated add EchelleThAr.0019.fits,dispaxis = 1 EchelleThAr.0019.fits updated add EchelleThAr.0020.fits,dispaxis = 1 EchelleThAr.0020.fits updated FIXPIX: image EchelleFlat.0011.fits with mask echmask.pl FIXPIX: image EchelleFlat.0012.fits with mask echmask.pl FIXPIX: image EchelleFlat.0013.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0014.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0015.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0016.fits with mask echmask.pl FIXPIX: image 130613.0021.fits with mask echmask.pl FIXPIX: image 130613.0022.fits with mask echmask.pl FIXPIX: image 130613.0023.fits with mask echmask.pl FIXPIX: image 130613.0024.fits with mask echmask.pl FIXPIX: image 130613.0025.fits with mask echmask.pl FIXPIX: image 130613.0027.fits with mask echmask.pl FIXPIX: image 130613.0028.fits with mask echmask.pl FIXPIX: image 130613.0029.fits with mask echmask.pl FIXPIX: image 130613.0031.fits with mask echmask.pl FIXPIX: image 130613.0032.fits with mask echmask.pl FIXPIX: image EchelleThAr.0017.fits with mask echmask.pl FIXPIX: image EchelleThAr.0018.fits with mask echmask.pl FIXPIX: image EchelleThAr.0019.fits with mask echmask.pl FIXPIX: image EchelleThAr.0020.fits with mask echmask.pl Dec 10 11:13: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Exp EchelleBias.0001.fits 0.0 EchelleBias.0002.fits 0.9 EchelleBias.0003.fits 0.0 EchelleBias.0004.fits 0.0 EchelleBias.0005.fits 0.0 EchelleBias.0006.fits 0.9 EchelleBias.0007.fits 0.0 EchelleBias.0008.fits 0.0 EchelleBias.0009.fits 0.0 EchelleBias.0010.fits 0.9 Output image = bias_fid, ncombine = 10 Calibrating object images and flats (bias, and trimming)... 130613.0021.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] bias_fid: Dec 10 11:13 Trim data section is [200:1850,1:2048] 130613.0021.fits: Dec 10 11:13 Zero level correction image is bias_fid 130613.0022.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] 130613.0022.fits: Dec 10 11:13 Zero level correction image is bias_fid 130613.0023.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] 130613.0023.fits: Dec 10 11:13 Zero level correction image is bias_fid 130613.0024.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] 130613.0024.fits: Dec 10 11:13 Zero level correction image is bias_fid 130613.0025.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] 130613.0025.fits: Dec 10 11:13 Zero level correction image is bias_fid 130613.0027.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] 130613.0027.fits: Dec 10 11:13 Zero level correction image is bias_fid 130613.0028.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] 130613.0028.fits: Dec 10 11:13 Zero level correction image is bias_fid 130613.0029.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] 130613.0029.fits: Dec 10 11:13 Zero level correction image is bias_fid 130613.0031.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] 130613.0031.fits: Dec 10 11:13 Zero level correction image is bias_fid 130613.0032.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] 130613.0032.fits: Dec 10 11:13 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlat.0011.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] EchelleFlat.0011.fits: Dec 10 11:13 Zero level correction image is bias_fid EchelleFlat.0012.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] EchelleFlat.0012.fits: Dec 10 11:13 Zero level correction image is bias_fid EchelleFlat.0013.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] EchelleFlat.0013.fits: Dec 10 11:13 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlatBlue.0014.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0014.fits: Dec 10 11:13 Zero level correction image is bias_fid EchelleFlatBlue.0015.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0015.fits: Dec 10 11:13 Zero level correction image is bias_fid EchelleFlatBlue.0016.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0016.fits: Dec 10 11:13 Zero level correction image is bias_fid Calibrating ThAr arcs... EchelleThAr.0017.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] EchelleThAr.0017.fits: Dec 10 11:13 Zero level correction image is bias_fid EchelleThAr.0018.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] EchelleThAr.0018.fits: Dec 10 11:13 Zero level correction image is bias_fid EchelleThAr.0019.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] EchelleThAr.0019.fits: Dec 10 11:13 Zero level correction image is bias_fid EchelleThAr.0020.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] EchelleThAr.0020.fits: Dec 10 11:13 Zero level correction image is bias_fid Combining red and blue flats into separate fiducial flats... Dec 10 11:14: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp EchelleFlatBlue.0014.fits 200.0 EchelleFlatBlue.0015.fits 200.0 EchelleFlatBlue.0016.fits 200.0 Output image = flat_blue_mean.fits, ncombine = 3 Dec 10 11:14: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp EchelleFlat.0011.fits 7.0 EchelleFlat.0012.fits 7.0 EchelleFlat.0013.fits 7.0 Output image = flat_red_mean.fits, ncombine = 3 Combining average red and blue flats into a superflat... IMARITH: Operation = * Operand1 = flat_red_mean.fits Operand2 = filter_redflat.fit Result = flat_red_mean_filt.fits Result pixel type = double Calculation type = double IMARITH: Operation = + Operand1 = flat_blue_mean.fits Operand2 = flat_red_mean_filt.fits Result = junk Result pixel type = double Calculation type = double IMARITH: Operation = / Operand1 = junk Operand2 = 2.0 Result = flat_fid Result pixel type = double Calculation type = double Replacement value for division by zero = 0. Resample the superflat in the y direction... flat_fid_mag.fits Magnify image flat_fid.fits to image flat_fid_mag.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 flat_fid_mag.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] flat_fid_mag.fits updated Modeling and extracting the superflat... Dec 10 11:14: TRACE - Trace of aperture 97 in flat_fid_mag lost at column 90. Dec 10 11:14: TRACE - Trace of aperture 97 in flat_fid_mag recovered at column 89. Dec 10 11:14: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 124. Dec 10 11:14: TRACE - Trace of aperture 99 in flat_fid_mag recovered at column 123. Dec 10 11:14: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1591. Dec 10 11:14: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1592. Dec 10 11:14: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1593. Dec 10 11:14: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 170. Dec 10 11:14: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 169. Dec 10 11:14: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1570. Dec 10 11:14: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1571. Dec 10 11:14: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1572. Dec 10 11:14: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 125. Dec 10 11:14: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 124. Dec 10 11:14: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1573. Dec 10 11:14: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1574. Dec 10 11:14: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1606. Dec 10 11:14: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1607. Dec 10 11:14: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1608. Dec 10 11:14: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 116. Dec 10 11:14: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 115. Dec 10 11:14: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 114. Dec 10 11:14: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1534. Dec 10 11:14: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1535. Dec 10 11:14: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1536. Dec 10 11:14: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 127. Dec 10 11:14: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 126. Dec 10 11:14: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 89. Dec 10 11:14: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 88. Dec 10 11:14: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1532. Dec 10 11:14: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1533. Dec 10 11:14: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1534. Dec 10 11:14: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 184. Dec 10 11:14: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 183. Dec 10 11:14: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 182. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1466. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1467. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1472. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1473. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1474. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1541. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1542. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1605. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1606. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1610. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1611. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1612. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1627. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1628. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1641. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1642. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1643. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 196. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 195. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 194. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 165. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 164. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 163. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 153. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 152. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 151. Dec 10 11:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1524. Dec 10 11:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1525. Dec 10 11:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1526. Dec 10 11:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 188. Dec 10 11:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 187. Dec 10 11:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 186. Dec 10 11:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1476. Dec 10 11:14: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1477. Dec 10 11:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1511. Dec 10 11:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1512. Dec 10 11:14: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1513. Dec 10 11:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1526. Dec 10 11:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1527. Dec 10 11:14: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1528. Dec 10 11:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1531. Dec 10 11:14: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1532. Dec 10 11:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1543. Dec 10 11:14: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1544. Dec 10 11:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1553. Dec 10 11:14: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1554. Dec 10 11:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1605. Dec 10 11:14: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1606. Dec 10 11:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1615. Dec 10 11:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1616. Dec 10 11:14: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1617. Dec 10 11:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1619. Dec 10 11:14: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1620. Dec 10 11:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1623. Dec 10 11:14: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1624. Dec 10 11:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 238. Dec 10 11:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 237. Dec 10 11:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 236. Dec 10 11:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1483. Dec 10 11:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1484. Dec 10 11:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1485. Dec 10 11:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 271. Dec 10 11:14: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 270. Dec 10 11:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 242. Dec 10 11:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 241. Dec 10 11:14: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 240. Dec 10 11:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 215. Dec 10 11:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 214. Dec 10 11:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 213. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1392. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1393. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1406. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1407. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1452. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1453. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1483. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1484. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1485. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1486. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1487. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 250. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 249. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 217. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 216. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 215. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 211. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 210. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 209. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1320. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1321. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1332. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1333. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1336. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1337. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1389. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1390. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1434. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1435. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1500. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1501. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1515. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1516. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1517. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1524. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1525. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1526. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 284. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 283. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 226. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 225. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 224. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 223. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 221. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 220. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 219. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 213. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 212. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 190. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 189. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 188. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 187. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 186. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 179. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 178. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 177. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 160. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 159. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 158. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 157. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 156. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 135. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 134. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 133. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1348. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1349. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1355. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1356. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1373. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1374. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1375. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1376. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1408. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1409. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1450. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1451. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1452. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 343. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 342. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 341. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 331. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 330. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 329. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 270. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 269. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 266. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 265. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 262. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 261. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 258. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 257. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 231. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 230. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 228. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 227. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 210. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 209. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 202. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 201. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 182. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 181. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 180. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1280. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1281. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1309. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1310. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1316. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1317. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1318. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1355. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1356. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1371. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1372. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1373. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 387. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 386. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 377. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 376. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 367. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 366. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 365. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 364. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 363. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 362. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 326. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 325. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 300. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 299. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 298. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 297. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 296. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 295. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1116. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1117. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1302. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1303. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1304. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1307. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1308. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1310. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1311. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1336. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1337. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1350. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1351. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1352. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1355. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1356. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1357. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 360. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 359. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 352. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 351. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 340. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 339. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 337. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 336. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 317. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 316. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 315. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 306. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 305. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 304. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 291. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 290. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 289. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 845. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 846. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1092. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1093. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1094. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1096. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1097. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1157. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1158. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1171. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1172. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1180. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1181. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1182. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1183. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1195. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1196. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1197. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 468. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 467. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 466. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 465. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 464. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 878. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 879. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 880. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 892. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 893. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 923. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 924. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 925. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 926. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 963. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 964. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 977. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 978. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1017. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1018. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1051. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1052. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1060. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1061. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1062. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1092. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1093. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1102. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1103. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1168. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1169. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1207. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1208. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1226. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1227. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1235. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1236. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1237. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 665. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 664. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 663. Normalizing the superflat... flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits IMARITH: Operation = + Operand1 = nonorm_flat_fid_mag.ec.fits Operand2 = 18.96 Result = nonorm_flat_fid_mag_bias.fits Result pixel type = real Calculation type = real Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0017.fits Magnify image EchelleThAr.0017.fits to image EchelleThAr.0017.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0017.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0017.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0018.fits Magnify image EchelleThAr.0018.fits to image EchelleThAr.0018.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0018.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0018.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0019.fits Magnify image EchelleThAr.0019.fits to image EchelleThAr.0019.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0019.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0019.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0020.fits Magnify image EchelleThAr.0020.fits to image EchelleThAr.0020.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0020.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0020.fits updated Applying model apertures to the arc and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130613.0021 Magnify image 130613.0021 to image 130613.0021. 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 130613.0021,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130613.0021 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130613.0021 -> noscat130613.0021 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 11:16: EXTRACT: WARNING - Aperture 99: Dec 10 11:16: Total variance weighted spectrum flux is 16917.26 Dec 10 11:16: Total unweighted spectrum flux is 7160.68 Dec 10 11:16: EXTRACT: Aperture 99 variance spectrum bias factor is 0.4232765 Dec 10 11:16: EXTRACT: WARNING - Aperture 106: Dec 10 11:16: Total variance weighted spectrum flux is 15983.69 Dec 10 11:16: Total unweighted spectrum flux is 7342.467 Dec 10 11:16: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4593726 Dec 10 11:16: EXTRACT: WARNING - Aperture 107: Dec 10 11:16: Total variance weighted spectrum flux is 10219.62 Dec 10 11:16: Total unweighted spectrum flux is 4073.186 Dec 10 11:16: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3985655 Dec 10 11:16: EXTRACT: WARNING - Aperture 111: Dec 10 11:16: Total variance weighted spectrum flux is 3878.664 Dec 10 11:16: Total unweighted spectrum flux is 1037.37 Dec 10 11:16: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2674553 Dec 10 11:16: EXTRACT: WARNING - Aperture 112: Dec 10 11:16: Total variance weighted spectrum flux is 6810.288 Dec 10 11:16: Total unweighted spectrum flux is 3061.361 Dec 10 11:16: EXTRACT: Aperture 112 variance spectrum bias factor is 0.4495201 Dec 10 11:16: EXTRACT: WARNING - Aperture 113: Dec 10 11:16: Total variance weighted spectrum flux is 8071.854 Dec 10 11:16: Total unweighted spectrum flux is 4032.816 Dec 10 11:16: EXTRACT: Aperture 113 variance spectrum bias factor is 0.4996145 Dec 10 11:16: EXTRACT: WARNING - Aperture 115: Dec 10 11:16: Total variance weighted spectrum flux is 5219.493 Dec 10 11:16: Total unweighted spectrum flux is 1900.832 Dec 10 11:16: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3641794 Resampling the object by a factor of 4 in the y direction... 130613.0022 Magnify image 130613.0022 to image 130613.0022. 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 130613.0022,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130613.0022 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130613.0022 -> noscat130613.0022 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 11:18: EXTRACT: WARNING - Aperture 107: Dec 10 11:18: Total variance weighted spectrum flux is 6382.441 Dec 10 11:18: Total unweighted spectrum flux is 2674.969 Dec 10 11:18: EXTRACT: Aperture 107 variance spectrum bias factor is 0.4191138 Dec 10 11:18: EXTRACT: WARNING - Aperture 108: Dec 10 11:18: Total variance weighted spectrum flux is 8977.353 Dec 10 11:18: Total unweighted spectrum flux is 1266.479 Dec 10 11:18: EXTRACT: Aperture 108 variance spectrum bias factor is 0.1410749 Dec 10 11:18: EXTRACT: WARNING - Aperture 110: Dec 10 11:18: Total variance weighted spectrum flux is 3585.884 Dec 10 11:18: Total unweighted spectrum flux is -94.76368 Dec 10 11:18: Variance spectrum bias factor ignored Dec 10 11:18: EXTRACT: WARNING - Aperture 111: Dec 10 11:18: Total variance weighted spectrum flux is 11458.49 Dec 10 11:18: Total unweighted spectrum flux is 2532.044 Dec 10 11:18: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2209754 Dec 10 11:18: EXTRACT: WARNING - Aperture 112: Dec 10 11:18: Total variance weighted spectrum flux is 9728.565 Dec 10 11:18: Total unweighted spectrum flux is 2080.569 Dec 10 11:18: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2138618 Dec 10 11:18: EXTRACT: WARNING - Aperture 113: Dec 10 11:18: Total variance weighted spectrum flux is 9025.917 Dec 10 11:18: Total unweighted spectrum flux is 3237.575 Dec 10 11:18: EXTRACT: Aperture 113 variance spectrum bias factor is 0.3586976 Dec 10 11:18: EXTRACT: WARNING - Aperture 114: Dec 10 11:18: Total variance weighted spectrum flux is 2376.349 Dec 10 11:18: Total unweighted spectrum flux is 823.5184 Dec 10 11:18: EXTRACT: Aperture 114 variance spectrum bias factor is 0.3465478 Dec 10 11:18: EXTRACT: WARNING - Aperture 115: Dec 10 11:18: Total variance weighted spectrum flux is 4566.733 Dec 10 11:18: Total unweighted spectrum flux is -971.0068 Dec 10 11:18: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 130613.0023 Magnify image 130613.0023 to image 130613.0023. 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 130613.0023,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130613.0023 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130613.0023 -> noscat130613.0023 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 11:20: EXTRACT: WARNING - Aperture 107: Dec 10 11:20: Total variance weighted spectrum flux is 7124.501 Dec 10 11:20: Total unweighted spectrum flux is 3465.443 Dec 10 11:20: EXTRACT: Aperture 107 variance spectrum bias factor is 0.486412 Dec 10 11:20: EXTRACT: WARNING - Aperture 112: Dec 10 11:20: Total variance weighted spectrum flux is 16022.06 Dec 10 11:20: Total unweighted spectrum flux is 7178.304 Dec 10 11:20: EXTRACT: Aperture 112 variance spectrum bias factor is 0.4480264 Dec 10 11:20: EXTRACT: WARNING - Aperture 114: Dec 10 11:20: Total variance weighted spectrum flux is 4569.024 Dec 10 11:20: Total unweighted spectrum flux is 1611.053 Dec 10 11:20: EXTRACT: Aperture 114 variance spectrum bias factor is 0.3526033 Resampling the object by a factor of 4 in the y direction... 130613.0024 Magnify image 130613.0024 to image 130613.0024. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 130613.0024,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130613.0024 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130613.0024 -> noscat130613.0024 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130613.0025 Magnify image 130613.0025 to image 130613.0025. 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 130613.0025,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130613.0025 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130613.0025 -> noscat130613.0025 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 11:23: EXTRACT: WARNING - Aperture 96: Dec 10 11:23: Total variance weighted spectrum flux is 5783.731 Dec 10 11:23: Total unweighted spectrum flux is 763.2527 Dec 10 11:23: EXTRACT: Aperture 96 variance spectrum bias factor is 0.1319654 Dec 10 11:23: EXTRACT: WARNING - Aperture 98: Dec 10 11:23: Total variance weighted spectrum flux is 29976.98 Dec 10 11:23: Total unweighted spectrum flux is 14681.77 Dec 10 11:23: EXTRACT: Aperture 98 variance spectrum bias factor is 0.4897682 Dec 10 11:23: EXTRACT: WARNING - Aperture 99: Dec 10 11:23: Total variance weighted spectrum flux is 7280.823 Dec 10 11:23: Total unweighted spectrum flux is 2966.34 Dec 10 11:23: EXTRACT: Aperture 99 variance spectrum bias factor is 0.4074182 Dec 10 11:23: EXTRACT: WARNING - Aperture 100: Dec 10 11:23: Total variance weighted spectrum flux is 18933.74 Dec 10 11:23: Total unweighted spectrum flux is 9150.58 Dec 10 11:23: EXTRACT: Aperture 100 variance spectrum bias factor is 0.4832949 Dec 10 11:23: EXTRACT: WARNING - Aperture 105: Dec 10 11:23: Total variance weighted spectrum flux is -101.4001 Dec 10 11:23: Total unweighted spectrum flux is 34.33446 Dec 10 11:23: Variance spectrum bias factor ignored Dec 10 11:23: EXTRACT: WARNING - Aperture 106: Dec 10 11:23: Total variance weighted spectrum flux is 4667.458 Dec 10 11:23: Total unweighted spectrum flux is 589.7087 Dec 10 11:23: EXTRACT: Aperture 106 variance spectrum bias factor is 0.1263447 Dec 10 11:23: EXTRACT: WARNING - Aperture 107: Dec 10 11:23: Total variance weighted spectrum flux is 12513.47 Dec 10 11:23: Total unweighted spectrum flux is 2492.43 Dec 10 11:23: EXTRACT: Aperture 107 variance spectrum bias factor is 0.1991797 Dec 10 11:23: EXTRACT: WARNING - Aperture 108: Dec 10 11:23: Total variance weighted spectrum flux is 14954.07 Dec 10 11:23: Total unweighted spectrum flux is 3752.755 Dec 10 11:23: EXTRACT: Aperture 108 variance spectrum bias factor is 0.2509522 Dec 10 11:23: EXTRACT: WARNING - Aperture 109: Dec 10 11:23: Total variance weighted spectrum flux is 7425.773 Dec 10 11:23: Total unweighted spectrum flux is 891.3508 Dec 10 11:23: EXTRACT: Aperture 109 variance spectrum bias factor is 0.1200348 Dec 10 11:23: EXTRACT: WARNING - Aperture 110: Dec 10 11:23: Total variance weighted spectrum flux is 12552.04 Dec 10 11:23: Total unweighted spectrum flux is -1076.824 Dec 10 11:23: Variance spectrum bias factor ignored Dec 10 11:23: EXTRACT: WARNING - Aperture 111: Dec 10 11:23: Total variance weighted spectrum flux is 7379.005 Dec 10 11:23: Total unweighted spectrum flux is 1735.843 Dec 10 11:23: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2352408 Dec 10 11:23: EXTRACT: WARNING - Aperture 112: Dec 10 11:23: Total variance weighted spectrum flux is 7104.935 Dec 10 11:23: Total unweighted spectrum flux is -729.9344 Dec 10 11:23: Variance spectrum bias factor ignored Dec 10 11:23: EXTRACT: WARNING - Aperture 113: Dec 10 11:23: Total variance weighted spectrum flux is 3753.387 Dec 10 11:23: Total unweighted spectrum flux is 201.9007 Dec 10 11:23: EXTRACT: Aperture 113 variance spectrum bias factor is 0.05379159 Dec 10 11:23: EXTRACT: WARNING - Aperture 114: Dec 10 11:23: Total variance weighted spectrum flux is 3135.71 Dec 10 11:23: Total unweighted spectrum flux is 1343.813 Dec 10 11:23: EXTRACT: Aperture 114 variance spectrum bias factor is 0.4285515 Dec 10 11:23: EXTRACT: WARNING - Aperture 115: Dec 10 11:23: Total variance weighted spectrum flux is 6407.688 Dec 10 11:23: Total unweighted spectrum flux is 385.6342 Dec 10 11:23: EXTRACT: Aperture 115 variance spectrum bias factor is 0.06018305 Resampling the object by a factor of 4 in the y direction... 130613.0027 Magnify image 130613.0027 to image 130613.0027. 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 130613.0027,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130613.0027 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130613.0027 -> noscat130613.0027 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 11:24: EXTRACT: WARNING - Aperture 1: Dec 10 11:24: Total variance weighted spectrum flux is 5618.677 Dec 10 11:24: Total unweighted spectrum flux is 2719.201 Dec 10 11:24: EXTRACT: Aperture 1 variance spectrum bias factor is 0.4839575 Dec 10 11:25: EXTRACT: WARNING - Aperture 105: Dec 10 11:25: Total variance weighted spectrum flux is 13496.6 Dec 10 11:25: Total unweighted spectrum flux is 4411.432 Dec 10 11:25: EXTRACT: Aperture 105 variance spectrum bias factor is 0.3268549 Dec 10 11:25: EXTRACT: WARNING - Aperture 106: Dec 10 11:25: Total variance weighted spectrum flux is 16101.28 Dec 10 11:25: Total unweighted spectrum flux is 6581.209 Dec 10 11:25: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4087382 Dec 10 11:25: EXTRACT: WARNING - Aperture 107: Dec 10 11:25: Total variance weighted spectrum flux is 6492.156 Dec 10 11:25: Total unweighted spectrum flux is 1967.844 Dec 10 11:25: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3031111 Dec 10 11:25: EXTRACT: WARNING - Aperture 108: Dec 10 11:25: Total variance weighted spectrum flux is 15423.84 Dec 10 11:25: Total unweighted spectrum flux is 5282.783 Dec 10 11:25: EXTRACT: Aperture 108 variance spectrum bias factor is 0.3425077 Dec 10 11:25: EXTRACT: WARNING - Aperture 109: Dec 10 11:25: Total variance weighted spectrum flux is 14667.99 Dec 10 11:25: Total unweighted spectrum flux is 5904.445 Dec 10 11:25: EXTRACT: Aperture 109 variance spectrum bias factor is 0.4025394 Dec 10 11:25: EXTRACT: WARNING - Aperture 110: Dec 10 11:25: Total variance weighted spectrum flux is 13717.27 Dec 10 11:25: Total unweighted spectrum flux is 2695.365 Dec 10 11:25: EXTRACT: Aperture 110 variance spectrum bias factor is 0.1964943 Dec 10 11:25: EXTRACT: WARNING - Aperture 111: Dec 10 11:25: Total variance weighted spectrum flux is 12648.88 Dec 10 11:25: Total unweighted spectrum flux is -472.1497 Dec 10 11:25: Variance spectrum bias factor ignored Dec 10 11:25: EXTRACT: WARNING - Aperture 112: Dec 10 11:25: Total variance weighted spectrum flux is 6399.045 Dec 10 11:25: Total unweighted spectrum flux is 1887.799 Dec 10 11:25: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2950126 Dec 10 11:25: EXTRACT: WARNING - Aperture 113: Dec 10 11:25: Total variance weighted spectrum flux is 9786.339 Dec 10 11:25: Total unweighted spectrum flux is 450.6697 Dec 10 11:25: EXTRACT: Aperture 113 variance spectrum bias factor is 0.0460509 Dec 10 11:25: EXTRACT: WARNING - Aperture 115: Dec 10 11:25: Total variance weighted spectrum flux is 8472.754 Dec 10 11:25: Total unweighted spectrum flux is 1220.183 Dec 10 11:25: EXTRACT: Aperture 115 variance spectrum bias factor is 0.1440126 Resampling the object by a factor of 4 in the y direction... 130613.0028 Magnify image 130613.0028 to image 130613.0028. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 130613.0028,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130613.0028 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130613.0028 -> noscat130613.0028 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 11:27: EXTRACT: WARNING - Aperture 107: Dec 10 11:27: Total variance weighted spectrum flux is 9068.282 Dec 10 11:27: Total unweighted spectrum flux is 2528.315 Dec 10 11:27: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2788086 Dec 10 11:27: EXTRACT: WARNING - Aperture 111: Dec 10 11:27: Total variance weighted spectrum flux is 7465.278 Dec 10 11:27: Total unweighted spectrum flux is 2211.804 Dec 10 11:27: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2962788 Dec 10 11:27: EXTRACT: WARNING - Aperture 112: Dec 10 11:27: Total variance weighted spectrum flux is 11462.04 Dec 10 11:27: Total unweighted spectrum flux is 4336.96 Dec 10 11:27: EXTRACT: Aperture 112 variance spectrum bias factor is 0.378376 Dec 10 11:27: EXTRACT: WARNING - Aperture 113: Dec 10 11:27: Total variance weighted spectrum flux is 5332.821 Dec 10 11:27: Total unweighted spectrum flux is 711.6034 Dec 10 11:27: EXTRACT: Aperture 113 variance spectrum bias factor is 0.1334385 Dec 10 11:27: EXTRACT: WARNING - Aperture 114: Dec 10 11:27: Total variance weighted spectrum flux is 5191.687 Dec 10 11:27: Total unweighted spectrum flux is 1562.096 Dec 10 11:27: EXTRACT: Aperture 114 variance spectrum bias factor is 0.3008841 Dec 10 11:27: EXTRACT: WARNING - Aperture 115: Dec 10 11:27: Total variance weighted spectrum flux is 7275.971 Dec 10 11:27: Total unweighted spectrum flux is 3184.874 Dec 10 11:27: EXTRACT: Aperture 115 variance spectrum bias factor is 0.4377249 Resampling the object by a factor of 4 in the y direction... 130613.0029 Magnify image 130613.0029 to image 130613.0029. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 130613.0029,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130613.0029 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130613.0029 -> noscat130613.0029 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130613.0031 Magnify image 130613.0031 to image 130613.0031. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 130613.0031,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130613.0031 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130613.0031 -> noscat130613.0031 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 11:30: EXTRACT: WARNING - Aperture 114: Dec 10 11:30: Total variance weighted spectrum flux is 5294.499 Dec 10 11:30: Total unweighted spectrum flux is 2201.229 Dec 10 11:30: EXTRACT: Aperture 114 variance spectrum bias factor is 0.4157577 Resampling the object by a factor of 4 in the y direction... 130613.0032 Magnify image 130613.0032 to image 130613.0032. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 130613.0032,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130613.0032 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130613.0032 -> noscat130613.0032 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... add EchelleThAr.0017.ec.fits,REFSPEC1 = EchelleThAr.0017.ec.fits EchelleThAr.0017.ec.fits updated add EchelleThAr.0018.ec.fits,REFSPEC1 = EchelleThAr.0018.ec.fits EchelleThAr.0018.ec.fits updated add EchelleThAr.0019.ec.fits,REFSPEC1 = EchelleThAr.0019.ec.fits EchelleThAr.0019.ec.fits updated add EchelleThAr.0020.ec.fits,REFSPEC1 = EchelleThAr.0020.ec.fits EchelleThAr.0020.ec.fits updated Flatfielding extracted arcs and object spectra... parameter EchelleThAr.0017.ec.fits,UTMIDDLE already exists EchelleThAr.0017.ec.fits updated EchelleThAr.0017.ec.fits,UTMIDDLE: 06:54:23.639 -> 06:54:57.639013 EchelleThAr.0017.ec.fits updated parameter EchelleThAr.0018.ec.fits,UTMIDDLE already exists EchelleThAr.0018.ec.fits updated EchelleThAr.0018.ec.fits,UTMIDDLE: 06:57:14.669 -> 06:57:48.669220 EchelleThAr.0018.ec.fits updated parameter EchelleThAr.0019.ec.fits,UTMIDDLE already exists EchelleThAr.0019.ec.fits updated EchelleThAr.0019.ec.fits,UTMIDDLE: 07:00:17.900 -> 07:00:51.899719 EchelleThAr.0019.ec.fits updated parameter EchelleThAr.0020.ec.fits,UTMIDDLE already exists EchelleThAr.0020.ec.fits updated EchelleThAr.0020.ec.fits,UTMIDDLE: 07:03:20.052 -> 07:03:54.051780 EchelleThAr.0020.ec.fits updated parameter 130613.0021.ec.fits,UTMIDDLE already exists 130613.0021.ec.fits updated 130613.0021.ec.fits,UTMIDDLE: 07:28:23.198 -> 07:28:57.198904 130613.0021.ec.fits updated parameter 130613.0022.ec.fits,UTMIDDLE already exists 130613.0022.ec.fits updated 130613.0022.ec.fits,UTMIDDLE: 07:46:15.528 -> 07:46:49.527870 130613.0022.ec.fits updated parameter 130613.0023.ec.fits,UTMIDDLE already exists 130613.0023.ec.fits updated 130613.0023.ec.fits,UTMIDDLE: 08:04:32.712 -> 08:05:06.711955 130613.0023.ec.fits updated parameter 130613.0024.ec.fits,UTMIDDLE already exists 130613.0024.ec.fits updated 130613.0024.ec.fits,UTMIDDLE: 08:19:58.019 -> 08:20:32.019800 130613.0024.ec.fits updated parameter 130613.0025.ec.fits,UTMIDDLE already exists 130613.0025.ec.fits updated 130613.0025.ec.fits,UTMIDDLE: 08:42:01.537 -> 08:42:35.537756 130613.0025.ec.fits updated parameter 130613.0027.ec.fits,UTMIDDLE already exists 130613.0027.ec.fits updated 130613.0027.ec.fits,UTMIDDLE: 09:29:16.012 -> 09:29:50.011807 130613.0027.ec.fits updated parameter 130613.0028.ec.fits,UTMIDDLE already exists 130613.0028.ec.fits updated 130613.0028.ec.fits,UTMIDDLE: 09:55:13.219 -> 09:55:47.218959 130613.0028.ec.fits updated parameter 130613.0029.ec.fits,UTMIDDLE already exists 130613.0029.ec.fits updated 130613.0029.ec.fits,UTMIDDLE: 10:13:31.613 -> 10:14:05.612936 130613.0029.ec.fits updated parameter 130613.0031.ec.fits,UTMIDDLE already exists 130613.0031.ec.fits updated 130613.0031.ec.fits,UTMIDDLE: 10:44:27.796 -> 10:45:01.795758 130613.0031.ec.fits updated parameter 130613.0032.ec.fits,UTMIDDLE already exists 130613.0032.ec.fits updated 130613.0032.ec.fits,UTMIDDLE: 10:57:29.320 -> 10:58:03.319753 130613.0032.ec.fits updated Setting Julian Date Keywords # Image jd hjd ljd # SETJD: Observatory parameters for Apache Point Observatory # timezone = 7 130613.0021.ec.fits 2456456.81177 2456456.81314 2456456 130613.0022.ec.fits 2456456.82418 2456456.82592 2456456 130613.0023.ec.fits 2456456.83688 2456456.83814 2456456 130613.0024.ec.fits 2456456.84759 2456456.84923 2456456 130613.0025.ec.fits 2456456.86291 2456456.86469 2456456 130613.0027.ec.fits 2456456.89572 2456456.89777 2456456 130613.0028.ec.fits 2456456.91374 2456456.91557 2456456 130613.0029.ec.fits 2456456.92645 2456456.92848 2456456 130613.0031.ec.fits 2456456.94794 2456456.94965 2456456 130613.0032.ec.fits 2456456.95698 2456456.95825 2456456 ECREIDENTIFY: NOAO/IRAF V2.16.1 jeanm12@tequila.nmsu.edu Tue 11:32:04 10-Dec-2013 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS EchelleThAr.0017.ec 1012/2055 1012/1012 4.04 -29.6 -5.2E-5 0.0138 EchelleThAr.0018.ec 1991/2055 1991/1991 4.04 -29.6 -5.2E-5 0.0107 EchelleThAr.0019.ec 2006/2055 2006/2006 4.02 -29.5 -5.2E-5 0.01 EchelleThAr.0020.ec 2010/2055 2010/2010 3.99 -29.3 -5.2E-5 0.00979 [130613.0021.ec] refspec1='EchelleThAr.0020.ec' [130613.0022.ec] refspec1='EchelleThAr.0020.ec' [130613.0023.ec] refspec1='EchelleThAr.0020.ec' [130613.0024.ec] refspec1='EchelleThAr.0020.ec' [130613.0025.ec] refspec1='EchelleThAr.0020.ec' [130613.0027.ec] refspec1='EchelleThAr.0020.ec' [130613.0028.ec] refspec1='EchelleThAr.0020.ec' [130613.0029.ec] refspec1='EchelleThAr.0020.ec' [130613.0031.ec] refspec1='EchelleThAr.0020.ec' [130613.0032.ec] refspec1='EchelleThAr.0020.ec' [EchelleThAr.0017.ec] refspec1='EchelleThAr.0017.ec' [EchelleThAr.0018.ec] refspec1='EchelleThAr.0018.ec' [EchelleThAr.0019.ec] refspec1='EchelleThAr.0019.ec' [EchelleThAr.0020.ec] refspec1='EchelleThAr.0020.ec' 130613.0021.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' 130613.0021.ec.fits: ap = 1, w1 = 10812.33, w2 = 10584.15, dw = -0.13829, nw = 1651 130613.0021.ec.fits: ap = 2, w1 = 10612.11, w2 = 10388.16, dw = -0.13573, nw = 1651 130613.0021.ec.fits: ap = 3, w1 = 10419.17, w2 = 10199.29, dw = -0.13326, nw = 1651 130613.0021.ec.fits: ap = 4, w1 = 10233.12, w2 = 10017.18, dw = -0.13088, nw = 1651 130613.0021.ec.fits: ap = 5, w1 = 10053.61, w2 = 9841.452, dw = -0.12858, nw = 1651 130613.0021.ec.fits: ap = 6, w1 = 9880.279, w2 = 9671.786, dw = -0.12636, nw = 1651 130613.0021.ec.fits: ap = 7, w1 = 9712.827, w2 = 9507.871, dw = -0.12422, nw = 1651 130613.0021.ec.fits: ap = 8, w1 = 9550.957, w2 = 9349.419, dw = -0.12214, nw = 1651 130613.0021.ec.fits: ap = 9, w1 = 9394.395, w2 = 9196.164, dw = -0.12014, nw = 1651 130613.0021.ec.fits: ap = 10, w1 = 9242.883, w2 = 9047.852, dw = -0.1182, nw = 1651 130613.0021.ec.fits: ap = 11, w1 = 9096.181, w2 = 8904.248, dw = -0.11632, nw = 1651 130613.0021.ec.fits: ap = 12, w1 = 8954.064, w2 = 8765.132, dw = -0.1145, nw = 1651 130613.0021.ec.fits: ap = 13, w1 = 8816.32, w2 = 8630.297, dw = -0.11274, nw = 1651 130613.0021.ec.fits: ap = 14, w1 = 8682.75, w2 = 8499.548, dw = -0.11103, nw = 1651 130613.0021.ec.fits: ap = 15, w1 = 8553.167, w2 = 8372.702, dw = -0.10937, nw = 1651 130613.0021.ec.fits: ap = 16, w1 = 8427.396, w2 = 8249.587, dw = -0.10776, nw = 1651 130613.0021.ec.fits: ap = 17, w1 = 8305.27, w2 = 8130.04, dw = -0.1062, nw = 1651 130613.0021.ec.fits: ap = 18, w1 = 8186.634, w2 = 8013.909, dw = -0.10468, nw = 1651 130613.0021.ec.fits: ap = 19, w1 = 8071.34, w2 = 7901.049, dw = -0.10321, nw = 1651 130613.0021.ec.fits: ap = 20, w1 = 7959.248, w2 = 7791.325, dw = -0.10177, nw = 1651 130613.0021.ec.fits: ap = 21, w1 = 7850.228, w2 = 7684.607, dw = -0.10038, nw = 1651 130613.0021.ec.fits: ap = 22, w1 = 7744.154, w2 = 7580.773, dw = -0.09902, nw = 1651 130613.0021.ec.fits: ap = 23, w1 = 7640.909, w2 = 7479.708, dw = -0.0977, nw = 1651 130613.0021.ec.fits: ap = 24, w1 = 7540.381, w2 = 7381.302, dw = -0.09641, nw = 1651 130613.0021.ec.fits: ap = 25, w1 = 7442.464, w2 = 7285.453, dw = -0.09516, nw = 1651 130613.0021.ec.fits: ap = 26, w1 = 7347.058, w2 = 7192.062, dw = -0.09394, nw = 1651 130613.0021.ec.fits: ap = 27, w1 = 7254.067, w2 = 7101.034, dw = -0.09275, nw = 1651 130613.0021.ec.fits: ap = 28, w1 = 7163.401, w2 = 7012.283, dw = -0.09159, nw = 1651 130613.0021.ec.fits: ap = 29, w1 = 7074.974, w2 = 6925.723, dw = -0.09045, nw = 1651 130613.0021.ec.fits: ap = 30, w1 = 6988.703, w2 = 6841.274, dw = -0.08935, nw = 1651 130613.0021.ec.fits: ap = 31, w1 = 6904.512, w2 = 6758.861, dw = -0.08827, nw = 1651 130613.0021.ec.fits: ap = 32, w1 = 6822.325, w2 = 6678.409, dw = -0.08722, nw = 1651 130613.0021.ec.fits: ap = 33, w1 = 6742.071, w2 = 6599.851, dw = -0.08619, nw = 1651 130613.0021.ec.fits: ap = 34, w1 = 6663.685, w2 = 6523.119, dw = -0.08519, nw = 1651 130613.0021.ec.fits: ap = 35, w1 = 6587.1, w2 = 6448.152, dw = -0.08421, nw = 1651 130613.0021.ec.fits: ap = 36, w1 = 6512.256, w2 = 6374.888, dw = -0.08325, nw = 1651 130613.0021.ec.fits: ap = 37, w1 = 6439.093, w2 = 6303.271, dw = -0.08232, nw = 1651 130613.0021.ec.fits: ap = 38, w1 = 6367.557, w2 = 6233.245, dw = -0.0814, nw = 1651 130613.0021.ec.fits: ap = 39, w1 = 6297.593, w2 = 6164.759, dw = -0.08051, nw = 1651 130613.0021.ec.fits: ap = 40, w1 = 6229.15, w2 = 6097.761, dw = -0.07963, nw = 1651 130613.0021.ec.fits: ap = 41, w1 = 6162.179, w2 = 6032.204, dw = -0.07877, nw = 1651 130613.0021.ec.fits: ap = 42, w1 = 6096.632, w2 = 5968.042, dw = -0.07793, nw = 1651 130613.0021.ec.fits: ap = 43, w1 = 6032.466, w2 = 5905.231, dw = -0.07711, nw = 1651 130613.0021.ec.fits: ap = 44, w1 = 5969.636, w2 = 5843.729, dw = -0.07631, nw = 1651 130613.0021.ec.fits: ap = 45, w1 = 5908.102, w2 = 5783.494, dw = -0.07552, nw = 1651 130613.0021.ec.fits: ap = 46, w1 = 5847.824, w2 = 5724.489, dw = -0.07475, nw = 1651 130613.0021.ec.fits: ap = 47, w1 = 5788.763, w2 = 5666.676, dw = -0.07399, nw = 1651 130613.0021.ec.fits: ap = 48, w1 = 5730.884, w2 = 5610.02, dw = -0.07325, nw = 1651 130613.0021.ec.fits: ap = 49, w1 = 5674.151, w2 = 5554.485, dw = -0.07252, nw = 1651 130613.0021.ec.fits: ap = 50, w1 = 5618.53, w2 = 5500.039, dw = -0.07181, nw = 1651 130613.0021.ec.fits: ap = 51, w1 = 5563.99, w2 = 5446.651, dw = -0.07111, nw = 1651 130613.0021.ec.fits: ap = 52, w1 = 5510.498, w2 = 5394.289, dw = -0.07043, nw = 1651 130613.0021.ec.fits: ap = 53, w1 = 5458.025, w2 = 5342.925, dw = -0.06976, nw = 1651 130613.0021.ec.fits: ap = 54, w1 = 5406.543, w2 = 5292.53, dw = -0.0691, nw = 1651 130613.0021.ec.fits: ap = 55, w1 = 5356.022, w2 = 5243.077, dw = -0.06845, nw = 1651 130613.0021.ec.fits: ap = 56, w1 = 5306.437, w2 = 5194.54, dw = -0.06782, nw = 1651 130613.0021.ec.fits: ap = 57, w1 = 5257.762, w2 = 5146.893, dw = -0.06719, nw = 1651 130613.0021.ec.fits: ap = 58, w1 = 5209.973, w2 = 5100.113, dw = -0.06658, nw = 1651 130613.0021.ec.fits: ap = 59, w1 = 5163.044, w2 = 5054.176, dw = -0.06598, nw = 1651 130613.0021.ec.fits: ap = 60, w1 = 5116.953, w2 = 5009.059, dw = -0.06539, nw = 1651 130613.0021.ec.fits: ap = 61, w1 = 5071.678, w2 = 4964.741, dw = -0.06481, nw = 1651 130613.0021.ec.fits: ap = 62, w1 = 5027.198, w2 = 4921.2, dw = -0.06424, nw = 1651 130613.0021.ec.fits: ap = 63, w1 = 4983.491, w2 = 4878.417, dw = -0.06368, nw = 1651 130613.0021.ec.fits: ap = 64, w1 = 4940.538, w2 = 4836.371, dw = -0.06313, nw = 1651 130613.0021.ec.fits: ap = 65, w1 = 4898.319, w2 = 4795.045, dw = -0.06259, nw = 1651 130613.0021.ec.fits: ap = 66, w1 = 4856.815, w2 = 4754.418, dw = -0.06206, nw = 1651 130613.0021.ec.fits: ap = 67, w1 = 4816.01, w2 = 4714.475, dw = -0.06154, nw = 1651 130613.0021.ec.fits: ap = 68, w1 = 4775.884, w2 = 4675.198, dw = -0.06102, nw = 1651 130613.0021.ec.fits: ap = 69, w1 = 4736.422, w2 = 4636.569, dw = -0.06052, nw = 1651 130613.0021.ec.fits: ap = 70, w1 = 4697.607, w2 = 4598.575, dw = -0.06002, nw = 1651 130613.0021.ec.fits: ap = 71, w1 = 4659.423, w2 = 4561.198, dw = -0.05953, nw = 1651 130613.0021.ec.fits: ap = 72, w1 = 4621.855, w2 = 4524.424, dw = -0.05905, nw = 1651 130613.0021.ec.fits: ap = 73, w1 = 4584.888, w2 = 4488.238, dw = -0.05858, nw = 1651 130613.0021.ec.fits: ap = 74, w1 = 4548.508, w2 = 4452.627, dw = -0.05811, nw = 1651 130613.0021.ec.fits: ap = 75, w1 = 4512.701, w2 = 4417.577, dw = -0.05765, nw = 1651 130613.0021.ec.fits: ap = 76, w1 = 4477.454, w2 = 4383.075, dw = -0.0572, nw = 1651 130613.0021.ec.fits: ap = 77, w1 = 4442.753, w2 = 4349.108, dw = -0.05675, nw = 1651 130613.0021.ec.fits: ap = 78, w1 = 4408.587, w2 = 4315.663, dw = -0.05632, nw = 1651 130613.0021.ec.fits: ap = 79, w1 = 4374.942, w2 = 4282.73, dw = -0.05589, nw = 1651 130613.0021.ec.fits: ap = 80, w1 = 4341.807, w2 = 4250.295, dw = -0.05546, nw = 1651 130613.0021.ec.fits: ap = 81, w1 = 4309.17, w2 = 4218.348, dw = -0.05504, nw = 1651 130613.0021.ec.fits: ap = 82, w1 = 4277.02, w2 = 4186.878, dw = -0.05463, nw = 1651 130613.0021.ec.fits: ap = 83, w1 = 4245.348, w2 = 4155.875, dw = -0.05423, nw = 1651 130613.0021.ec.fits: ap = 84, w1 = 4214.141, w2 = 4125.328, dw = -0.05383, nw = 1651 130613.0021.ec.fits: ap = 85, w1 = 4183.389, w2 = 4095.226, dw = -0.05343, nw = 1651 130613.0021.ec.fits: ap = 86, w1 = 4153.084, w2 = 4065.561, dw = -0.05304, nw = 1651 130613.0021.ec.fits: ap = 87, w1 = 4123.215, w2 = 4036.324, dw = -0.05266, nw = 1651 130613.0021.ec.fits: ap = 88, w1 = 4093.772, w2 = 4007.504, dw = -0.05228, nw = 1651 130613.0021.ec.fits: ap = 89, w1 = 4064.748, w2 = 3979.093, dw = -0.05191, nw = 1651 130613.0021.ec.fits: ap = 90, w1 = 4036.132, w2 = 3951.082, dw = -0.05155, nw = 1651 130613.0021.ec.fits: ap = 91, w1 = 4007.917, w2 = 3923.463, dw = -0.05118, nw = 1651 130613.0021.ec.fits: ap = 92, w1 = 3980.094, w2 = 3896.228, dw = -0.05083, nw = 1651 130613.0021.ec.fits: ap = 93, w1 = 3952.655, w2 = 3869.369, dw = -0.05048, nw = 1651 130613.0021.ec.fits: ap = 94, w1 = 3925.592, w2 = 3842.878, dw = -0.05013, nw = 1651 130613.0021.ec.fits: ap = 95, w1 = 3898.898, w2 = 3816.748, dw = -0.04979, nw = 1651 130613.0021.ec.fits: ap = 96, w1 = 3872.564, w2 = 3790.97, dw = -0.04945, nw = 1651 130613.0021.ec.fits: ap = 97, w1 = 3846.584, w2 = 3765.54, dw = -0.04912, nw = 1651 130613.0021.ec.fits: ap = 98, w1 = 3820.951, w2 = 3740.448, dw = -0.04879, nw = 1651 130613.0021.ec.fits: ap = 99, w1 = 3795.657, w2 = 3715.689, dw = -0.04847, nw = 1651 130613.0021.ec.fits: ap = 100, w1 = 3770.697, w2 = 3691.256, dw = -0.04815, nw = 1651 130613.0021.ec.fits: ap = 101, w1 = 3746.063, w2 = 3667.142, dw = -0.04783, nw = 1651 130613.0021.ec.fits: ap = 102, w1 = 3721.749, w2 = 3643.342, dw = -0.04752, nw = 1651 130613.0021.ec.fits: ap = 103, w1 = 3697.75, w2 = 3619.849, dw = -0.04721, nw = 1651 130613.0021.ec.fits: ap = 104, w1 = 3674.058, w2 = 3596.658, dw = -0.04691, nw = 1651 130613.0021.ec.fits: ap = 105, w1 = 3650.668, w2 = 3573.762, dw = -0.04661, nw = 1651 130613.0021.ec.fits: ap = 106, w1 = 3627.575, w2 = 3551.157, dw = -0.04631, nw = 1651 130613.0021.ec.fits: ap = 107, w1 = 3604.773, w2 = 3528.836, dw = -0.04602, nw = 1651 130613.0021.ec.fits: ap = 108, w1 = 3582.256, w2 = 3506.794, dw = -0.04573, nw = 1651 130613.0021.ec.fits: ap = 109, w1 = 3560.018, w2 = 3485.026, dw = -0.04545, nw = 1651 130613.0021.ec.fits: ap = 110, w1 = 3538.056, w2 = 3463.528, dw = -0.04517, nw = 1651 130613.0021.ec.fits: ap = 111, w1 = 3516.364, w2 = 3442.293, dw = -0.04489, nw = 1651 130613.0021.ec.fits: ap = 112, w1 = 3494.936, w2 = 3421.318, dw = -0.04462, nw = 1651 130613.0021.ec.fits: ap = 113, w1 = 3473.769, w2 = 3400.597, dw = -0.04435, nw = 1651 130613.0021.ec.fits: ap = 114, w1 = 3452.857, w2 = 3380.126, dw = -0.04408, nw = 1651 130613.0021.ec.fits: ap = 115, w1 = 3432.195, w2 = 3359.9, dw = -0.04382, nw = 1651 130613.0022.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' 130613.0022.ec.fits: ap = 1, w1 = 10812.33, w2 = 10584.15, dw = -0.13829, nw = 1651 130613.0022.ec.fits: ap = 2, w1 = 10612.11, w2 = 10388.16, dw = -0.13573, nw = 1651 130613.0022.ec.fits: ap = 3, w1 = 10419.17, w2 = 10199.29, dw = -0.13326, nw = 1651 130613.0022.ec.fits: ap = 4, w1 = 10233.12, w2 = 10017.18, dw = -0.13088, nw = 1651 130613.0022.ec.fits: ap = 5, w1 = 10053.61, w2 = 9841.452, dw = -0.12858, nw = 1651 130613.0022.ec.fits: ap = 6, w1 = 9880.279, w2 = 9671.786, dw = -0.12636, nw = 1651 130613.0022.ec.fits: ap = 7, w1 = 9712.827, w2 = 9507.871, dw = -0.12422, nw = 1651 130613.0022.ec.fits: ap = 8, w1 = 9550.957, w2 = 9349.419, dw = -0.12214, nw = 1651 130613.0022.ec.fits: ap = 9, w1 = 9394.395, w2 = 9196.164, dw = -0.12014, nw = 1651 130613.0022.ec.fits: ap = 10, w1 = 9242.883, w2 = 9047.852, dw = -0.1182, nw = 1651 130613.0022.ec.fits: ap = 11, w1 = 9096.181, w2 = 8904.248, dw = -0.11632, nw = 1651 130613.0022.ec.fits: ap = 12, w1 = 8954.064, w2 = 8765.132, dw = -0.1145, nw = 1651 130613.0022.ec.fits: ap = 13, w1 = 8816.32, w2 = 8630.297, dw = -0.11274, nw = 1651 130613.0022.ec.fits: ap = 14, w1 = 8682.75, w2 = 8499.548, dw = -0.11103, nw = 1651 130613.0022.ec.fits: ap = 15, w1 = 8553.167, w2 = 8372.702, dw = -0.10937, nw = 1651 130613.0022.ec.fits: ap = 16, w1 = 8427.396, w2 = 8249.587, dw = -0.10776, nw = 1651 130613.0022.ec.fits: ap = 17, w1 = 8305.27, w2 = 8130.04, dw = -0.1062, nw = 1651 130613.0022.ec.fits: ap = 18, w1 = 8186.634, w2 = 8013.909, dw = -0.10468, nw = 1651 130613.0022.ec.fits: ap = 19, w1 = 8071.34, w2 = 7901.049, dw = -0.10321, nw = 1651 130613.0022.ec.fits: ap = 20, w1 = 7959.248, w2 = 7791.325, dw = -0.10177, nw = 1651 130613.0022.ec.fits: ap = 21, w1 = 7850.228, w2 = 7684.607, dw = -0.10038, nw = 1651 130613.0022.ec.fits: ap = 22, w1 = 7744.154, w2 = 7580.773, dw = -0.09902, nw = 1651 130613.0022.ec.fits: ap = 23, w1 = 7640.909, w2 = 7479.708, dw = -0.0977, nw = 1651 130613.0022.ec.fits: ap = 24, w1 = 7540.381, w2 = 7381.302, dw = -0.09641, nw = 1651 130613.0022.ec.fits: ap = 25, w1 = 7442.464, w2 = 7285.453, dw = -0.09516, nw = 1651 130613.0022.ec.fits: ap = 26, w1 = 7347.058, w2 = 7192.062, dw = -0.09394, nw = 1651 130613.0022.ec.fits: ap = 27, w1 = 7254.067, w2 = 7101.034, dw = -0.09275, nw = 1651 130613.0022.ec.fits: ap = 28, w1 = 7163.401, w2 = 7012.283, dw = -0.09159, nw = 1651 130613.0022.ec.fits: ap = 29, w1 = 7074.974, w2 = 6925.723, dw = -0.09045, nw = 1651 130613.0022.ec.fits: ap = 30, w1 = 6988.703, w2 = 6841.274, dw = -0.08935, nw = 1651 130613.0022.ec.fits: ap = 31, w1 = 6904.512, w2 = 6758.861, dw = -0.08827, nw = 1651 130613.0022.ec.fits: ap = 32, w1 = 6822.325, w2 = 6678.409, dw = -0.08722, nw = 1651 130613.0022.ec.fits: ap = 33, w1 = 6742.071, w2 = 6599.851, dw = -0.08619, nw = 1651 130613.0022.ec.fits: ap = 34, w1 = 6663.685, w2 = 6523.119, dw = -0.08519, nw = 1651 130613.0022.ec.fits: ap = 35, w1 = 6587.1, w2 = 6448.152, dw = -0.08421, nw = 1651 130613.0022.ec.fits: ap = 36, w1 = 6512.256, w2 = 6374.888, dw = -0.08325, nw = 1651 130613.0022.ec.fits: ap = 37, w1 = 6439.093, w2 = 6303.271, dw = -0.08232, nw = 1651 130613.0022.ec.fits: ap = 38, w1 = 6367.557, w2 = 6233.245, dw = -0.0814, nw = 1651 130613.0022.ec.fits: ap = 39, w1 = 6297.593, w2 = 6164.759, dw = -0.08051, nw = 1651 130613.0022.ec.fits: ap = 40, w1 = 6229.15, w2 = 6097.761, dw = -0.07963, nw = 1651 130613.0022.ec.fits: ap = 41, w1 = 6162.179, w2 = 6032.204, dw = -0.07877, nw = 1651 130613.0022.ec.fits: ap = 42, w1 = 6096.632, w2 = 5968.042, dw = -0.07793, nw = 1651 130613.0022.ec.fits: ap = 43, w1 = 6032.466, w2 = 5905.231, dw = -0.07711, nw = 1651 130613.0022.ec.fits: ap = 44, w1 = 5969.636, w2 = 5843.729, dw = -0.07631, nw = 1651 130613.0022.ec.fits: ap = 45, w1 = 5908.102, w2 = 5783.494, dw = -0.07552, nw = 1651 130613.0022.ec.fits: ap = 46, w1 = 5847.824, w2 = 5724.489, dw = -0.07475, nw = 1651 130613.0022.ec.fits: ap = 47, w1 = 5788.763, w2 = 5666.676, dw = -0.07399, nw = 1651 130613.0022.ec.fits: ap = 48, w1 = 5730.884, w2 = 5610.02, dw = -0.07325, nw = 1651 130613.0022.ec.fits: ap = 49, w1 = 5674.151, w2 = 5554.485, dw = -0.07252, nw = 1651 130613.0022.ec.fits: ap = 50, w1 = 5618.53, w2 = 5500.039, dw = -0.07181, nw = 1651 130613.0022.ec.fits: ap = 51, w1 = 5563.99, w2 = 5446.651, dw = -0.07111, nw = 1651 130613.0022.ec.fits: ap = 52, w1 = 5510.498, w2 = 5394.289, dw = -0.07043, nw = 1651 130613.0022.ec.fits: ap = 53, w1 = 5458.025, w2 = 5342.925, dw = -0.06976, nw = 1651 130613.0022.ec.fits: ap = 54, w1 = 5406.543, w2 = 5292.53, dw = -0.0691, nw = 1651 130613.0022.ec.fits: ap = 55, w1 = 5356.022, w2 = 5243.077, dw = -0.06845, nw = 1651 130613.0022.ec.fits: ap = 56, w1 = 5306.437, w2 = 5194.54, dw = -0.06782, nw = 1651 130613.0022.ec.fits: ap = 57, w1 = 5257.762, w2 = 5146.893, dw = -0.06719, nw = 1651 130613.0022.ec.fits: ap = 58, w1 = 5209.973, w2 = 5100.113, dw = -0.06658, nw = 1651 130613.0022.ec.fits: ap = 59, w1 = 5163.044, w2 = 5054.176, dw = -0.06598, nw = 1651 130613.0022.ec.fits: ap = 60, w1 = 5116.953, w2 = 5009.059, dw = -0.06539, nw = 1651 130613.0022.ec.fits: ap = 61, w1 = 5071.678, w2 = 4964.741, dw = -0.06481, nw = 1651 130613.0022.ec.fits: ap = 62, w1 = 5027.198, w2 = 4921.2, dw = -0.06424, nw = 1651 130613.0022.ec.fits: ap = 63, w1 = 4983.491, w2 = 4878.417, dw = -0.06368, nw = 1651 130613.0022.ec.fits: ap = 64, w1 = 4940.538, w2 = 4836.371, dw = -0.06313, nw = 1651 130613.0022.ec.fits: ap = 65, w1 = 4898.319, w2 = 4795.045, dw = -0.06259, nw = 1651 130613.0022.ec.fits: ap = 66, w1 = 4856.815, w2 = 4754.418, dw = -0.06206, nw = 1651 130613.0022.ec.fits: ap = 67, w1 = 4816.01, w2 = 4714.475, dw = -0.06154, nw = 1651 130613.0022.ec.fits: ap = 68, w1 = 4775.884, w2 = 4675.198, dw = -0.06102, nw = 1651 130613.0022.ec.fits: ap = 69, w1 = 4736.422, w2 = 4636.569, dw = -0.06052, nw = 1651 130613.0022.ec.fits: ap = 70, w1 = 4697.607, w2 = 4598.575, dw = -0.06002, nw = 1651 130613.0022.ec.fits: ap = 71, w1 = 4659.423, w2 = 4561.198, dw = -0.05953, nw = 1651 130613.0022.ec.fits: ap = 72, w1 = 4621.855, w2 = 4524.424, dw = -0.05905, nw = 1651 130613.0022.ec.fits: ap = 73, w1 = 4584.888, w2 = 4488.238, dw = -0.05858, nw = 1651 130613.0022.ec.fits: ap = 74, w1 = 4548.508, w2 = 4452.627, dw = -0.05811, nw = 1651 130613.0022.ec.fits: ap = 75, w1 = 4512.701, w2 = 4417.577, dw = -0.05765, nw = 1651 130613.0022.ec.fits: ap = 76, w1 = 4477.454, w2 = 4383.075, dw = -0.0572, nw = 1651 130613.0022.ec.fits: ap = 77, w1 = 4442.753, w2 = 4349.108, dw = -0.05675, nw = 1651 130613.0022.ec.fits: ap = 78, w1 = 4408.587, w2 = 4315.663, dw = -0.05632, nw = 1651 130613.0022.ec.fits: ap = 79, w1 = 4374.942, w2 = 4282.73, dw = -0.05589, nw = 1651 130613.0022.ec.fits: ap = 80, w1 = 4341.807, w2 = 4250.295, dw = -0.05546, nw = 1651 130613.0022.ec.fits: ap = 81, w1 = 4309.17, w2 = 4218.348, dw = -0.05504, nw = 1651 130613.0022.ec.fits: ap = 82, w1 = 4277.02, w2 = 4186.878, dw = -0.05463, nw = 1651 130613.0022.ec.fits: ap = 83, w1 = 4245.348, w2 = 4155.875, dw = -0.05423, nw = 1651 130613.0022.ec.fits: ap = 84, w1 = 4214.141, w2 = 4125.328, dw = -0.05383, nw = 1651 130613.0022.ec.fits: ap = 85, w1 = 4183.389, w2 = 4095.226, dw = -0.05343, nw = 1651 130613.0022.ec.fits: ap = 86, w1 = 4153.084, w2 = 4065.561, dw = -0.05304, nw = 1651 130613.0022.ec.fits: ap = 87, w1 = 4123.215, w2 = 4036.324, dw = -0.05266, nw = 1651 130613.0022.ec.fits: ap = 88, w1 = 4093.772, w2 = 4007.504, dw = -0.05228, nw = 1651 130613.0022.ec.fits: ap = 89, w1 = 4064.748, w2 = 3979.093, dw = -0.05191, nw = 1651 130613.0022.ec.fits: ap = 90, w1 = 4036.132, w2 = 3951.082, dw = -0.05155, nw = 1651 130613.0022.ec.fits: ap = 91, w1 = 4007.917, w2 = 3923.463, dw = -0.05118, nw = 1651 130613.0022.ec.fits: ap = 92, w1 = 3980.094, w2 = 3896.228, dw = -0.05083, nw = 1651 130613.0022.ec.fits: ap = 93, w1 = 3952.655, w2 = 3869.369, dw = -0.05048, nw = 1651 130613.0022.ec.fits: ap = 94, w1 = 3925.592, w2 = 3842.878, dw = -0.05013, nw = 1651 130613.0022.ec.fits: ap = 95, w1 = 3898.898, w2 = 3816.748, dw = -0.04979, nw = 1651 130613.0022.ec.fits: ap = 96, w1 = 3872.564, w2 = 3790.97, dw = -0.04945, nw = 1651 130613.0022.ec.fits: ap = 97, w1 = 3846.584, w2 = 3765.54, dw = -0.04912, nw = 1651 130613.0022.ec.fits: ap = 98, w1 = 3820.951, w2 = 3740.448, dw = -0.04879, nw = 1651 130613.0022.ec.fits: ap = 99, w1 = 3795.657, w2 = 3715.689, dw = -0.04847, nw = 1651 130613.0022.ec.fits: ap = 100, w1 = 3770.697, w2 = 3691.256, dw = -0.04815, nw = 1651 130613.0022.ec.fits: ap = 101, w1 = 3746.063, w2 = 3667.142, dw = -0.04783, nw = 1651 130613.0022.ec.fits: ap = 102, w1 = 3721.749, w2 = 3643.342, dw = -0.04752, nw = 1651 130613.0022.ec.fits: ap = 103, w1 = 3697.75, w2 = 3619.849, dw = -0.04721, nw = 1651 130613.0022.ec.fits: ap = 104, w1 = 3674.058, w2 = 3596.658, dw = -0.04691, nw = 1651 130613.0022.ec.fits: ap = 105, w1 = 3650.668, w2 = 3573.762, dw = -0.04661, nw = 1651 130613.0022.ec.fits: ap = 106, w1 = 3627.575, w2 = 3551.157, dw = -0.04631, nw = 1651 130613.0022.ec.fits: ap = 107, w1 = 3604.773, w2 = 3528.836, dw = -0.04602, nw = 1651 130613.0022.ec.fits: ap = 108, w1 = 3582.256, w2 = 3506.794, dw = -0.04573, nw = 1651 130613.0022.ec.fits: ap = 109, w1 = 3560.018, w2 = 3485.026, dw = -0.04545, nw = 1651 130613.0022.ec.fits: ap = 110, w1 = 3538.056, w2 = 3463.528, dw = -0.04517, nw = 1651 130613.0022.ec.fits: ap = 111, w1 = 3516.364, w2 = 3442.293, dw = -0.04489, nw = 1651 130613.0022.ec.fits: ap = 112, w1 = 3494.936, w2 = 3421.318, dw = -0.04462, nw = 1651 130613.0022.ec.fits: ap = 113, w1 = 3473.769, w2 = 3400.597, dw = -0.04435, nw = 1651 130613.0022.ec.fits: ap = 114, w1 = 3452.857, w2 = 3380.126, dw = -0.04408, nw = 1651 130613.0022.ec.fits: ap = 115, w1 = 3432.195, w2 = 3359.9, dw = -0.04382, nw = 1651 130613.0023.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' 130613.0023.ec.fits: ap = 1, w1 = 10812.33, w2 = 10584.15, dw = -0.13829, nw = 1651 130613.0023.ec.fits: ap = 2, w1 = 10612.11, w2 = 10388.16, dw = -0.13573, nw = 1651 130613.0023.ec.fits: ap = 3, w1 = 10419.17, w2 = 10199.29, dw = -0.13326, nw = 1651 130613.0023.ec.fits: ap = 4, w1 = 10233.12, w2 = 10017.18, dw = -0.13088, nw = 1651 130613.0023.ec.fits: ap = 5, w1 = 10053.61, w2 = 9841.452, dw = -0.12858, nw = 1651 130613.0023.ec.fits: ap = 6, w1 = 9880.279, w2 = 9671.786, dw = -0.12636, nw = 1651 130613.0023.ec.fits: ap = 7, w1 = 9712.827, w2 = 9507.871, dw = -0.12422, nw = 1651 130613.0023.ec.fits: ap = 8, w1 = 9550.957, w2 = 9349.419, dw = -0.12214, nw = 1651 130613.0023.ec.fits: ap = 9, w1 = 9394.395, w2 = 9196.164, dw = -0.12014, nw = 1651 130613.0023.ec.fits: ap = 10, w1 = 9242.883, w2 = 9047.852, dw = -0.1182, nw = 1651 130613.0023.ec.fits: ap = 11, w1 = 9096.181, w2 = 8904.248, dw = -0.11632, nw = 1651 130613.0023.ec.fits: ap = 12, w1 = 8954.064, w2 = 8765.132, dw = -0.1145, nw = 1651 130613.0023.ec.fits: ap = 13, w1 = 8816.32, w2 = 8630.297, dw = -0.11274, nw = 1651 130613.0023.ec.fits: ap = 14, w1 = 8682.75, w2 = 8499.548, dw = -0.11103, nw = 1651 130613.0023.ec.fits: ap = 15, w1 = 8553.167, w2 = 8372.702, dw = -0.10937, nw = 1651 130613.0023.ec.fits: ap = 16, w1 = 8427.396, w2 = 8249.587, dw = -0.10776, nw = 1651 130613.0023.ec.fits: ap = 17, w1 = 8305.27, w2 = 8130.04, dw = -0.1062, nw = 1651 130613.0023.ec.fits: ap = 18, w1 = 8186.634, w2 = 8013.909, dw = -0.10468, nw = 1651 130613.0023.ec.fits: ap = 19, w1 = 8071.34, w2 = 7901.049, dw = -0.10321, nw = 1651 130613.0023.ec.fits: ap = 20, w1 = 7959.248, w2 = 7791.325, dw = -0.10177, nw = 1651 130613.0023.ec.fits: ap = 21, w1 = 7850.228, w2 = 7684.607, dw = -0.10038, nw = 1651 130613.0023.ec.fits: ap = 22, w1 = 7744.154, w2 = 7580.773, dw = -0.09902, nw = 1651 130613.0023.ec.fits: ap = 23, w1 = 7640.909, w2 = 7479.708, dw = -0.0977, nw = 1651 130613.0023.ec.fits: ap = 24, w1 = 7540.381, w2 = 7381.302, dw = -0.09641, nw = 1651 130613.0023.ec.fits: ap = 25, w1 = 7442.464, w2 = 7285.453, dw = -0.09516, nw = 1651 130613.0023.ec.fits: ap = 26, w1 = 7347.058, w2 = 7192.062, dw = -0.09394, nw = 1651 130613.0023.ec.fits: ap = 27, w1 = 7254.067, w2 = 7101.034, dw = -0.09275, nw = 1651 130613.0023.ec.fits: ap = 28, w1 = 7163.401, w2 = 7012.283, dw = -0.09159, nw = 1651 130613.0023.ec.fits: ap = 29, w1 = 7074.974, w2 = 6925.723, dw = -0.09045, nw = 1651 130613.0023.ec.fits: ap = 30, w1 = 6988.703, w2 = 6841.274, dw = -0.08935, nw = 1651 130613.0023.ec.fits: ap = 31, w1 = 6904.512, w2 = 6758.861, dw = -0.08827, nw = 1651 130613.0023.ec.fits: ap = 32, w1 = 6822.325, w2 = 6678.409, dw = -0.08722, nw = 1651 130613.0023.ec.fits: ap = 33, w1 = 6742.071, w2 = 6599.851, dw = -0.08619, nw = 1651 130613.0023.ec.fits: ap = 34, w1 = 6663.685, w2 = 6523.119, dw = -0.08519, nw = 1651 130613.0023.ec.fits: ap = 35, w1 = 6587.1, w2 = 6448.152, dw = -0.08421, nw = 1651 130613.0023.ec.fits: ap = 36, w1 = 6512.256, w2 = 6374.888, dw = -0.08325, nw = 1651 130613.0023.ec.fits: ap = 37, w1 = 6439.093, w2 = 6303.271, dw = -0.08232, nw = 1651 130613.0023.ec.fits: ap = 38, w1 = 6367.557, w2 = 6233.245, dw = -0.0814, nw = 1651 130613.0023.ec.fits: ap = 39, w1 = 6297.593, w2 = 6164.759, dw = -0.08051, nw = 1651 130613.0023.ec.fits: ap = 40, w1 = 6229.15, w2 = 6097.761, dw = -0.07963, nw = 1651 130613.0023.ec.fits: ap = 41, w1 = 6162.179, w2 = 6032.204, dw = -0.07877, nw = 1651 130613.0023.ec.fits: ap = 42, w1 = 6096.632, w2 = 5968.042, dw = -0.07793, nw = 1651 130613.0023.ec.fits: ap = 43, w1 = 6032.466, w2 = 5905.231, dw = -0.07711, nw = 1651 130613.0023.ec.fits: ap = 44, w1 = 5969.636, w2 = 5843.729, dw = -0.07631, nw = 1651 130613.0023.ec.fits: ap = 45, w1 = 5908.102, w2 = 5783.494, dw = -0.07552, nw = 1651 130613.0023.ec.fits: ap = 46, w1 = 5847.824, w2 = 5724.489, dw = -0.07475, nw = 1651 130613.0023.ec.fits: ap = 47, w1 = 5788.763, w2 = 5666.676, dw = -0.07399, nw = 1651 130613.0023.ec.fits: ap = 48, w1 = 5730.884, w2 = 5610.02, dw = -0.07325, nw = 1651 130613.0023.ec.fits: ap = 49, w1 = 5674.151, w2 = 5554.485, dw = -0.07252, nw = 1651 130613.0023.ec.fits: ap = 50, w1 = 5618.53, w2 = 5500.039, dw = -0.07181, nw = 1651 130613.0023.ec.fits: ap = 51, w1 = 5563.99, w2 = 5446.651, dw = -0.07111, nw = 1651 130613.0023.ec.fits: ap = 52, w1 = 5510.498, w2 = 5394.289, dw = -0.07043, nw = 1651 130613.0023.ec.fits: ap = 53, w1 = 5458.025, w2 = 5342.925, dw = -0.06976, nw = 1651 130613.0023.ec.fits: ap = 54, w1 = 5406.543, w2 = 5292.53, dw = -0.0691, nw = 1651 130613.0023.ec.fits: ap = 55, w1 = 5356.022, w2 = 5243.077, dw = -0.06845, nw = 1651 130613.0023.ec.fits: ap = 56, w1 = 5306.437, w2 = 5194.54, dw = -0.06782, nw = 1651 130613.0023.ec.fits: ap = 57, w1 = 5257.762, w2 = 5146.893, dw = -0.06719, nw = 1651 130613.0023.ec.fits: ap = 58, w1 = 5209.973, w2 = 5100.113, dw = -0.06658, nw = 1651 130613.0023.ec.fits: ap = 59, w1 = 5163.044, w2 = 5054.176, dw = -0.06598, nw = 1651 130613.0023.ec.fits: ap = 60, w1 = 5116.953, w2 = 5009.059, dw = -0.06539, nw = 1651 130613.0023.ec.fits: ap = 61, w1 = 5071.678, w2 = 4964.741, dw = -0.06481, nw = 1651 130613.0023.ec.fits: ap = 62, w1 = 5027.198, w2 = 4921.2, dw = -0.06424, nw = 1651 130613.0023.ec.fits: ap = 63, w1 = 4983.491, w2 = 4878.417, dw = -0.06368, nw = 1651 130613.0023.ec.fits: ap = 64, w1 = 4940.538, w2 = 4836.371, dw = -0.06313, nw = 1651 130613.0023.ec.fits: ap = 65, w1 = 4898.319, w2 = 4795.045, dw = -0.06259, nw = 1651 130613.0023.ec.fits: ap = 66, w1 = 4856.815, w2 = 4754.418, dw = -0.06206, nw = 1651 130613.0023.ec.fits: ap = 67, w1 = 4816.01, w2 = 4714.475, dw = -0.06154, nw = 1651 130613.0023.ec.fits: ap = 68, w1 = 4775.884, w2 = 4675.198, dw = -0.06102, nw = 1651 130613.0023.ec.fits: ap = 69, w1 = 4736.422, w2 = 4636.569, dw = -0.06052, nw = 1651 130613.0023.ec.fits: ap = 70, w1 = 4697.607, w2 = 4598.575, dw = -0.06002, nw = 1651 130613.0023.ec.fits: ap = 71, w1 = 4659.423, w2 = 4561.198, dw = -0.05953, nw = 1651 130613.0023.ec.fits: ap = 72, w1 = 4621.855, w2 = 4524.424, dw = -0.05905, nw = 1651 130613.0023.ec.fits: ap = 73, w1 = 4584.888, w2 = 4488.238, dw = -0.05858, nw = 1651 130613.0023.ec.fits: ap = 74, w1 = 4548.508, w2 = 4452.627, dw = -0.05811, nw = 1651 130613.0023.ec.fits: ap = 75, w1 = 4512.701, w2 = 4417.577, dw = -0.05765, nw = 1651 130613.0023.ec.fits: ap = 76, w1 = 4477.454, w2 = 4383.075, dw = -0.0572, nw = 1651 130613.0023.ec.fits: ap = 77, w1 = 4442.753, w2 = 4349.108, dw = -0.05675, nw = 1651 130613.0023.ec.fits: ap = 78, w1 = 4408.587, w2 = 4315.663, dw = -0.05632, nw = 1651 130613.0023.ec.fits: ap = 79, w1 = 4374.942, w2 = 4282.73, dw = -0.05589, nw = 1651 130613.0023.ec.fits: ap = 80, w1 = 4341.807, w2 = 4250.295, dw = -0.05546, nw = 1651 130613.0023.ec.fits: ap = 81, w1 = 4309.17, w2 = 4218.348, dw = -0.05504, nw = 1651 130613.0023.ec.fits: ap = 82, w1 = 4277.02, w2 = 4186.878, dw = -0.05463, nw = 1651 130613.0023.ec.fits: ap = 83, w1 = 4245.348, w2 = 4155.875, dw = -0.05423, nw = 1651 130613.0023.ec.fits: ap = 84, w1 = 4214.141, w2 = 4125.328, dw = -0.05383, nw = 1651 130613.0023.ec.fits: ap = 85, w1 = 4183.389, w2 = 4095.226, dw = -0.05343, nw = 1651 130613.0023.ec.fits: ap = 86, w1 = 4153.084, w2 = 4065.561, dw = -0.05304, nw = 1651 130613.0023.ec.fits: ap = 87, w1 = 4123.215, w2 = 4036.324, dw = -0.05266, nw = 1651 130613.0023.ec.fits: ap = 88, w1 = 4093.772, w2 = 4007.504, dw = -0.05228, nw = 1651 130613.0023.ec.fits: ap = 89, w1 = 4064.748, w2 = 3979.093, dw = -0.05191, nw = 1651 130613.0023.ec.fits: ap = 90, w1 = 4036.132, w2 = 3951.082, dw = -0.05155, nw = 1651 130613.0023.ec.fits: ap = 91, w1 = 4007.917, w2 = 3923.463, dw = -0.05118, nw = 1651 130613.0023.ec.fits: ap = 92, w1 = 3980.094, w2 = 3896.228, dw = -0.05083, nw = 1651 130613.0023.ec.fits: ap = 93, w1 = 3952.655, w2 = 3869.369, dw = -0.05048, nw = 1651 130613.0023.ec.fits: ap = 94, w1 = 3925.592, w2 = 3842.878, dw = -0.05013, nw = 1651 130613.0023.ec.fits: ap = 95, w1 = 3898.898, w2 = 3816.748, dw = -0.04979, nw = 1651 130613.0023.ec.fits: ap = 96, w1 = 3872.564, w2 = 3790.97, dw = -0.04945, nw = 1651 130613.0023.ec.fits: ap = 97, w1 = 3846.584, w2 = 3765.54, dw = -0.04912, nw = 1651 130613.0023.ec.fits: ap = 98, w1 = 3820.951, w2 = 3740.448, dw = -0.04879, nw = 1651 130613.0023.ec.fits: ap = 99, w1 = 3795.657, w2 = 3715.689, dw = -0.04847, nw = 1651 130613.0023.ec.fits: ap = 100, w1 = 3770.697, w2 = 3691.256, dw = -0.04815, nw = 1651 130613.0023.ec.fits: ap = 101, w1 = 3746.063, w2 = 3667.142, dw = -0.04783, nw = 1651 130613.0023.ec.fits: ap = 102, w1 = 3721.749, w2 = 3643.342, dw = -0.04752, nw = 1651 130613.0023.ec.fits: ap = 103, w1 = 3697.75, w2 = 3619.849, dw = -0.04721, nw = 1651 130613.0023.ec.fits: ap = 104, w1 = 3674.058, w2 = 3596.658, dw = -0.04691, nw = 1651 130613.0023.ec.fits: ap = 105, w1 = 3650.668, w2 = 3573.762, dw = -0.04661, nw = 1651 130613.0023.ec.fits: ap = 106, w1 = 3627.575, w2 = 3551.157, dw = -0.04631, nw = 1651 130613.0023.ec.fits: ap = 107, w1 = 3604.773, w2 = 3528.836, dw = -0.04602, nw = 1651 130613.0023.ec.fits: ap = 108, w1 = 3582.256, w2 = 3506.794, dw = -0.04573, nw = 1651 130613.0023.ec.fits: ap = 109, w1 = 3560.018, w2 = 3485.026, dw = -0.04545, nw = 1651 130613.0023.ec.fits: ap = 110, w1 = 3538.056, w2 = 3463.528, dw = -0.04517, nw = 1651 130613.0023.ec.fits: ap = 111, w1 = 3516.364, w2 = 3442.293, dw = -0.04489, nw = 1651 130613.0023.ec.fits: ap = 112, w1 = 3494.936, w2 = 3421.318, dw = -0.04462, nw = 1651 130613.0023.ec.fits: ap = 113, w1 = 3473.769, w2 = 3400.597, dw = -0.04435, nw = 1651 130613.0023.ec.fits: ap = 114, w1 = 3452.857, w2 = 3380.126, dw = -0.04408, nw = 1651 130613.0023.ec.fits: ap = 115, w1 = 3432.195, w2 = 3359.9, dw = -0.04382, nw = 1651 130613.0024.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' 130613.0024.ec.fits: ap = 1, w1 = 10812.33, w2 = 10584.15, dw = -0.13829, nw = 1651 130613.0024.ec.fits: ap = 2, w1 = 10612.11, w2 = 10388.16, dw = -0.13573, nw = 1651 130613.0024.ec.fits: ap = 3, w1 = 10419.17, w2 = 10199.29, dw = -0.13326, nw = 1651 130613.0024.ec.fits: ap = 4, w1 = 10233.12, w2 = 10017.18, dw = -0.13088, nw = 1651 130613.0024.ec.fits: ap = 5, w1 = 10053.61, w2 = 9841.452, dw = -0.12858, nw = 1651 130613.0024.ec.fits: ap = 6, w1 = 9880.279, w2 = 9671.786, dw = -0.12636, nw = 1651 130613.0024.ec.fits: ap = 7, w1 = 9712.827, w2 = 9507.871, dw = -0.12422, nw = 1651 130613.0024.ec.fits: ap = 8, w1 = 9550.957, w2 = 9349.419, dw = -0.12214, nw = 1651 130613.0024.ec.fits: ap = 9, w1 = 9394.395, w2 = 9196.164, dw = -0.12014, nw = 1651 130613.0024.ec.fits: ap = 10, w1 = 9242.883, w2 = 9047.852, dw = -0.1182, nw = 1651 130613.0024.ec.fits: ap = 11, w1 = 9096.181, w2 = 8904.248, dw = -0.11632, nw = 1651 130613.0024.ec.fits: ap = 12, w1 = 8954.064, w2 = 8765.132, dw = -0.1145, nw = 1651 130613.0024.ec.fits: ap = 13, w1 = 8816.32, w2 = 8630.297, dw = -0.11274, nw = 1651 130613.0024.ec.fits: ap = 14, w1 = 8682.75, w2 = 8499.548, dw = -0.11103, nw = 1651 130613.0024.ec.fits: ap = 15, w1 = 8553.167, w2 = 8372.702, dw = -0.10937, nw = 1651 130613.0024.ec.fits: ap = 16, w1 = 8427.396, w2 = 8249.587, dw = -0.10776, nw = 1651 130613.0024.ec.fits: ap = 17, w1 = 8305.27, w2 = 8130.04, dw = -0.1062, nw = 1651 130613.0024.ec.fits: ap = 18, w1 = 8186.634, w2 = 8013.909, dw = -0.10468, nw = 1651 130613.0024.ec.fits: ap = 19, w1 = 8071.34, w2 = 7901.049, dw = -0.10321, nw = 1651 130613.0024.ec.fits: ap = 20, w1 = 7959.248, w2 = 7791.325, dw = -0.10177, nw = 1651 130613.0024.ec.fits: ap = 21, w1 = 7850.228, w2 = 7684.607, dw = -0.10038, nw = 1651 130613.0024.ec.fits: ap = 22, w1 = 7744.154, w2 = 7580.773, dw = -0.09902, nw = 1651 130613.0024.ec.fits: ap = 23, w1 = 7640.909, w2 = 7479.708, dw = -0.0977, nw = 1651 130613.0024.ec.fits: ap = 24, w1 = 7540.381, w2 = 7381.302, dw = -0.09641, nw = 1651 130613.0024.ec.fits: ap = 25, w1 = 7442.464, w2 = 7285.453, dw = -0.09516, nw = 1651 130613.0024.ec.fits: ap = 26, w1 = 7347.058, w2 = 7192.062, dw = -0.09394, nw = 1651 130613.0024.ec.fits: ap = 27, w1 = 7254.067, w2 = 7101.034, dw = -0.09275, nw = 1651 130613.0024.ec.fits: ap = 28, w1 = 7163.401, w2 = 7012.283, dw = -0.09159, nw = 1651 130613.0024.ec.fits: ap = 29, w1 = 7074.974, w2 = 6925.723, dw = -0.09045, nw = 1651 130613.0024.ec.fits: ap = 30, w1 = 6988.703, w2 = 6841.274, dw = -0.08935, nw = 1651 130613.0024.ec.fits: ap = 31, w1 = 6904.512, w2 = 6758.861, dw = -0.08827, nw = 1651 130613.0024.ec.fits: ap = 32, w1 = 6822.325, w2 = 6678.409, dw = -0.08722, nw = 1651 130613.0024.ec.fits: ap = 33, w1 = 6742.071, w2 = 6599.851, dw = -0.08619, nw = 1651 130613.0024.ec.fits: ap = 34, w1 = 6663.685, w2 = 6523.119, dw = -0.08519, nw = 1651 130613.0024.ec.fits: ap = 35, w1 = 6587.1, w2 = 6448.152, dw = -0.08421, nw = 1651 130613.0024.ec.fits: ap = 36, w1 = 6512.256, w2 = 6374.888, dw = -0.08325, nw = 1651 130613.0024.ec.fits: ap = 37, w1 = 6439.093, w2 = 6303.271, dw = -0.08232, nw = 1651 130613.0024.ec.fits: ap = 38, w1 = 6367.557, w2 = 6233.245, dw = -0.0814, nw = 1651 130613.0024.ec.fits: ap = 39, w1 = 6297.593, w2 = 6164.759, dw = -0.08051, nw = 1651 130613.0024.ec.fits: ap = 40, w1 = 6229.15, w2 = 6097.761, dw = -0.07963, nw = 1651 130613.0024.ec.fits: ap = 41, w1 = 6162.179, w2 = 6032.204, dw = -0.07877, nw = 1651 130613.0024.ec.fits: ap = 42, w1 = 6096.632, w2 = 5968.042, dw = -0.07793, nw = 1651 130613.0024.ec.fits: ap = 43, w1 = 6032.466, w2 = 5905.231, dw = -0.07711, nw = 1651 130613.0024.ec.fits: ap = 44, w1 = 5969.636, w2 = 5843.729, dw = -0.07631, nw = 1651 130613.0024.ec.fits: ap = 45, w1 = 5908.102, w2 = 5783.494, dw = -0.07552, nw = 1651 130613.0024.ec.fits: ap = 46, w1 = 5847.824, w2 = 5724.489, dw = -0.07475, nw = 1651 130613.0024.ec.fits: ap = 47, w1 = 5788.763, w2 = 5666.676, dw = -0.07399, nw = 1651 130613.0024.ec.fits: ap = 48, w1 = 5730.884, w2 = 5610.02, dw = -0.07325, nw = 1651 130613.0024.ec.fits: ap = 49, w1 = 5674.151, w2 = 5554.485, dw = -0.07252, nw = 1651 130613.0024.ec.fits: ap = 50, w1 = 5618.53, w2 = 5500.039, dw = -0.07181, nw = 1651 130613.0024.ec.fits: ap = 51, w1 = 5563.99, w2 = 5446.651, dw = -0.07111, nw = 1651 130613.0024.ec.fits: ap = 52, w1 = 5510.498, w2 = 5394.289, dw = -0.07043, nw = 1651 130613.0024.ec.fits: ap = 53, w1 = 5458.025, w2 = 5342.925, dw = -0.06976, nw = 1651 130613.0024.ec.fits: ap = 54, w1 = 5406.543, w2 = 5292.53, dw = -0.0691, nw = 1651 130613.0024.ec.fits: ap = 55, w1 = 5356.022, w2 = 5243.077, dw = -0.06845, nw = 1651 130613.0024.ec.fits: ap = 56, w1 = 5306.437, w2 = 5194.54, dw = -0.06782, nw = 1651 130613.0024.ec.fits: ap = 57, w1 = 5257.762, w2 = 5146.893, dw = -0.06719, nw = 1651 130613.0024.ec.fits: ap = 58, w1 = 5209.973, w2 = 5100.113, dw = -0.06658, nw = 1651 130613.0024.ec.fits: ap = 59, w1 = 5163.044, w2 = 5054.176, dw = -0.06598, nw = 1651 130613.0024.ec.fits: ap = 60, w1 = 5116.953, w2 = 5009.059, dw = -0.06539, nw = 1651 130613.0024.ec.fits: ap = 61, w1 = 5071.678, w2 = 4964.741, dw = -0.06481, nw = 1651 130613.0024.ec.fits: ap = 62, w1 = 5027.198, w2 = 4921.2, dw = -0.06424, nw = 1651 130613.0024.ec.fits: ap = 63, w1 = 4983.491, w2 = 4878.417, dw = -0.06368, nw = 1651 130613.0024.ec.fits: ap = 64, w1 = 4940.538, w2 = 4836.371, dw = -0.06313, nw = 1651 130613.0024.ec.fits: ap = 65, w1 = 4898.319, w2 = 4795.045, dw = -0.06259, nw = 1651 130613.0024.ec.fits: ap = 66, w1 = 4856.815, w2 = 4754.418, dw = -0.06206, nw = 1651 130613.0024.ec.fits: ap = 67, w1 = 4816.01, w2 = 4714.475, dw = -0.06154, nw = 1651 130613.0024.ec.fits: ap = 68, w1 = 4775.884, w2 = 4675.198, dw = -0.06102, nw = 1651 130613.0024.ec.fits: ap = 69, w1 = 4736.422, w2 = 4636.569, dw = -0.06052, nw = 1651 130613.0024.ec.fits: ap = 70, w1 = 4697.607, w2 = 4598.575, dw = -0.06002, nw = 1651 130613.0024.ec.fits: ap = 71, w1 = 4659.423, w2 = 4561.198, dw = -0.05953, nw = 1651 130613.0024.ec.fits: ap = 72, w1 = 4621.855, w2 = 4524.424, dw = -0.05905, nw = 1651 130613.0024.ec.fits: ap = 73, w1 = 4584.888, w2 = 4488.238, dw = -0.05858, nw = 1651 130613.0024.ec.fits: ap = 74, w1 = 4548.508, w2 = 4452.627, dw = -0.05811, nw = 1651 130613.0024.ec.fits: ap = 75, w1 = 4512.701, w2 = 4417.577, dw = -0.05765, nw = 1651 130613.0024.ec.fits: ap = 76, w1 = 4477.454, w2 = 4383.075, dw = -0.0572, nw = 1651 130613.0024.ec.fits: ap = 77, w1 = 4442.753, w2 = 4349.108, dw = -0.05675, nw = 1651 130613.0024.ec.fits: ap = 78, w1 = 4408.587, w2 = 4315.663, dw = -0.05632, nw = 1651 130613.0024.ec.fits: ap = 79, w1 = 4374.942, w2 = 4282.73, dw = -0.05589, nw = 1651 130613.0024.ec.fits: ap = 80, w1 = 4341.807, w2 = 4250.295, dw = -0.05546, nw = 1651 130613.0024.ec.fits: ap = 81, w1 = 4309.17, w2 = 4218.348, dw = -0.05504, nw = 1651 130613.0024.ec.fits: ap = 82, w1 = 4277.02, w2 = 4186.878, dw = -0.05463, nw = 1651 130613.0024.ec.fits: ap = 83, w1 = 4245.348, w2 = 4155.875, dw = -0.05423, nw = 1651 130613.0024.ec.fits: ap = 84, w1 = 4214.141, w2 = 4125.328, dw = -0.05383, nw = 1651 130613.0024.ec.fits: ap = 85, w1 = 4183.389, w2 = 4095.226, dw = -0.05343, nw = 1651 130613.0024.ec.fits: ap = 86, w1 = 4153.084, w2 = 4065.561, dw = -0.05304, nw = 1651 130613.0024.ec.fits: ap = 87, w1 = 4123.215, w2 = 4036.324, dw = -0.05266, nw = 1651 130613.0024.ec.fits: ap = 88, w1 = 4093.772, w2 = 4007.504, dw = -0.05228, nw = 1651 130613.0024.ec.fits: ap = 89, w1 = 4064.748, w2 = 3979.093, dw = -0.05191, nw = 1651 130613.0024.ec.fits: ap = 90, w1 = 4036.132, w2 = 3951.082, dw = -0.05155, nw = 1651 130613.0024.ec.fits: ap = 91, w1 = 4007.917, w2 = 3923.463, dw = -0.05118, nw = 1651 130613.0024.ec.fits: ap = 92, w1 = 3980.094, w2 = 3896.228, dw = -0.05083, nw = 1651 130613.0024.ec.fits: ap = 93, w1 = 3952.655, w2 = 3869.369, dw = -0.05048, nw = 1651 130613.0024.ec.fits: ap = 94, w1 = 3925.592, w2 = 3842.878, dw = -0.05013, nw = 1651 130613.0024.ec.fits: ap = 95, w1 = 3898.898, w2 = 3816.748, dw = -0.04979, nw = 1651 130613.0024.ec.fits: ap = 96, w1 = 3872.564, w2 = 3790.97, dw = -0.04945, nw = 1651 130613.0024.ec.fits: ap = 97, w1 = 3846.584, w2 = 3765.54, dw = -0.04912, nw = 1651 130613.0024.ec.fits: ap = 98, w1 = 3820.951, w2 = 3740.448, dw = -0.04879, nw = 1651 130613.0024.ec.fits: ap = 99, w1 = 3795.657, w2 = 3715.689, dw = -0.04847, nw = 1651 130613.0024.ec.fits: ap = 100, w1 = 3770.697, w2 = 3691.256, dw = -0.04815, nw = 1651 130613.0024.ec.fits: ap = 101, w1 = 3746.063, w2 = 3667.142, dw = -0.04783, nw = 1651 130613.0024.ec.fits: ap = 102, w1 = 3721.749, w2 = 3643.342, dw = -0.04752, nw = 1651 130613.0024.ec.fits: ap = 103, w1 = 3697.75, w2 = 3619.849, dw = -0.04721, nw = 1651 130613.0024.ec.fits: ap = 104, w1 = 3674.058, w2 = 3596.658, dw = -0.04691, nw = 1651 130613.0024.ec.fits: ap = 105, w1 = 3650.668, w2 = 3573.762, dw = -0.04661, nw = 1651 130613.0024.ec.fits: ap = 106, w1 = 3627.575, w2 = 3551.157, dw = -0.04631, nw = 1651 130613.0024.ec.fits: ap = 107, w1 = 3604.773, w2 = 3528.836, dw = -0.04602, nw = 1651 130613.0024.ec.fits: ap = 108, w1 = 3582.256, w2 = 3506.794, dw = -0.04573, nw = 1651 130613.0024.ec.fits: ap = 109, w1 = 3560.018, w2 = 3485.026, dw = -0.04545, nw = 1651 130613.0024.ec.fits: ap = 110, w1 = 3538.056, w2 = 3463.528, dw = -0.04517, nw = 1651 130613.0024.ec.fits: ap = 111, w1 = 3516.364, w2 = 3442.293, dw = -0.04489, nw = 1651 130613.0024.ec.fits: ap = 112, w1 = 3494.936, w2 = 3421.318, dw = -0.04462, nw = 1651 130613.0024.ec.fits: ap = 113, w1 = 3473.769, w2 = 3400.597, dw = -0.04435, nw = 1651 130613.0024.ec.fits: ap = 114, w1 = 3452.857, w2 = 3380.126, dw = -0.04408, nw = 1651 130613.0024.ec.fits: ap = 115, w1 = 3432.195, w2 = 3359.9, dw = -0.04382, nw = 1651 130613.0025.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' 130613.0025.ec.fits: ap = 1, w1 = 10812.33, w2 = 10584.15, dw = -0.13829, nw = 1651 130613.0025.ec.fits: ap = 2, w1 = 10612.11, w2 = 10388.16, dw = -0.13573, nw = 1651 130613.0025.ec.fits: ap = 3, w1 = 10419.17, w2 = 10199.29, dw = -0.13326, nw = 1651 130613.0025.ec.fits: ap = 4, w1 = 10233.12, w2 = 10017.18, dw = -0.13088, nw = 1651 130613.0025.ec.fits: ap = 5, w1 = 10053.61, w2 = 9841.452, dw = -0.12858, nw = 1651 130613.0025.ec.fits: ap = 6, w1 = 9880.279, w2 = 9671.786, dw = -0.12636, nw = 1651 130613.0025.ec.fits: ap = 7, w1 = 9712.827, w2 = 9507.871, dw = -0.12422, nw = 1651 130613.0025.ec.fits: ap = 8, w1 = 9550.957, w2 = 9349.419, dw = -0.12214, nw = 1651 130613.0025.ec.fits: ap = 9, w1 = 9394.395, w2 = 9196.164, dw = -0.12014, nw = 1651 130613.0025.ec.fits: ap = 10, w1 = 9242.883, w2 = 9047.852, dw = -0.1182, nw = 1651 130613.0025.ec.fits: ap = 11, w1 = 9096.181, w2 = 8904.248, dw = -0.11632, nw = 1651 130613.0025.ec.fits: ap = 12, w1 = 8954.064, w2 = 8765.132, dw = -0.1145, nw = 1651 130613.0025.ec.fits: ap = 13, w1 = 8816.32, w2 = 8630.297, dw = -0.11274, nw = 1651 130613.0025.ec.fits: ap = 14, w1 = 8682.75, w2 = 8499.548, dw = -0.11103, nw = 1651 130613.0025.ec.fits: ap = 15, w1 = 8553.167, w2 = 8372.702, dw = -0.10937, nw = 1651 130613.0025.ec.fits: ap = 16, w1 = 8427.396, w2 = 8249.587, dw = -0.10776, nw = 1651 130613.0025.ec.fits: ap = 17, w1 = 8305.27, w2 = 8130.04, dw = -0.1062, nw = 1651 130613.0025.ec.fits: ap = 18, w1 = 8186.634, w2 = 8013.909, dw = -0.10468, nw = 1651 130613.0025.ec.fits: ap = 19, w1 = 8071.34, w2 = 7901.049, dw = -0.10321, nw = 1651 130613.0025.ec.fits: ap = 20, w1 = 7959.248, w2 = 7791.325, dw = -0.10177, nw = 1651 130613.0025.ec.fits: ap = 21, w1 = 7850.228, w2 = 7684.607, dw = -0.10038, nw = 1651 130613.0025.ec.fits: ap = 22, w1 = 7744.154, w2 = 7580.773, dw = -0.09902, nw = 1651 130613.0025.ec.fits: ap = 23, w1 = 7640.909, w2 = 7479.708, dw = -0.0977, nw = 1651 130613.0025.ec.fits: ap = 24, w1 = 7540.381, w2 = 7381.302, dw = -0.09641, nw = 1651 130613.0025.ec.fits: ap = 25, w1 = 7442.464, w2 = 7285.453, dw = -0.09516, nw = 1651 130613.0025.ec.fits: ap = 26, w1 = 7347.058, w2 = 7192.062, dw = -0.09394, nw = 1651 130613.0025.ec.fits: ap = 27, w1 = 7254.067, w2 = 7101.034, dw = -0.09275, nw = 1651 130613.0025.ec.fits: ap = 28, w1 = 7163.401, w2 = 7012.283, dw = -0.09159, nw = 1651 130613.0025.ec.fits: ap = 29, w1 = 7074.974, w2 = 6925.723, dw = -0.09045, nw = 1651 130613.0025.ec.fits: ap = 30, w1 = 6988.703, w2 = 6841.274, dw = -0.08935, nw = 1651 130613.0025.ec.fits: ap = 31, w1 = 6904.512, w2 = 6758.861, dw = -0.08827, nw = 1651 130613.0025.ec.fits: ap = 32, w1 = 6822.325, w2 = 6678.409, dw = -0.08722, nw = 1651 130613.0025.ec.fits: ap = 33, w1 = 6742.071, w2 = 6599.851, dw = -0.08619, nw = 1651 130613.0025.ec.fits: ap = 34, w1 = 6663.685, w2 = 6523.119, dw = -0.08519, nw = 1651 130613.0025.ec.fits: ap = 35, w1 = 6587.1, w2 = 6448.152, dw = -0.08421, nw = 1651 130613.0025.ec.fits: ap = 36, w1 = 6512.256, w2 = 6374.888, dw = -0.08325, nw = 1651 130613.0025.ec.fits: ap = 37, w1 = 6439.093, w2 = 6303.271, dw = -0.08232, nw = 1651 130613.0025.ec.fits: ap = 38, w1 = 6367.557, w2 = 6233.245, dw = -0.0814, nw = 1651 130613.0025.ec.fits: ap = 39, w1 = 6297.593, w2 = 6164.759, dw = -0.08051, nw = 1651 130613.0025.ec.fits: ap = 40, w1 = 6229.15, w2 = 6097.761, dw = -0.07963, nw = 1651 130613.0025.ec.fits: ap = 41, w1 = 6162.179, w2 = 6032.204, dw = -0.07877, nw = 1651 130613.0025.ec.fits: ap = 42, w1 = 6096.632, w2 = 5968.042, dw = -0.07793, nw = 1651 130613.0025.ec.fits: ap = 43, w1 = 6032.466, w2 = 5905.231, dw = -0.07711, nw = 1651 130613.0025.ec.fits: ap = 44, w1 = 5969.636, w2 = 5843.729, dw = -0.07631, nw = 1651 130613.0025.ec.fits: ap = 45, w1 = 5908.102, w2 = 5783.494, dw = -0.07552, nw = 1651 130613.0025.ec.fits: ap = 46, w1 = 5847.824, w2 = 5724.489, dw = -0.07475, nw = 1651 130613.0025.ec.fits: ap = 47, w1 = 5788.763, w2 = 5666.676, dw = -0.07399, nw = 1651 130613.0025.ec.fits: ap = 48, w1 = 5730.884, w2 = 5610.02, dw = -0.07325, nw = 1651 130613.0025.ec.fits: ap = 49, w1 = 5674.151, w2 = 5554.485, dw = -0.07252, nw = 1651 130613.0025.ec.fits: ap = 50, w1 = 5618.53, w2 = 5500.039, dw = -0.07181, nw = 1651 130613.0025.ec.fits: ap = 51, w1 = 5563.99, w2 = 5446.651, dw = -0.07111, nw = 1651 130613.0025.ec.fits: ap = 52, w1 = 5510.498, w2 = 5394.289, dw = -0.07043, nw = 1651 130613.0025.ec.fits: ap = 53, w1 = 5458.025, w2 = 5342.925, dw = -0.06976, nw = 1651 130613.0025.ec.fits: ap = 54, w1 = 5406.543, w2 = 5292.53, dw = -0.0691, nw = 1651 130613.0025.ec.fits: ap = 55, w1 = 5356.022, w2 = 5243.077, dw = -0.06845, nw = 1651 130613.0025.ec.fits: ap = 56, w1 = 5306.437, w2 = 5194.54, dw = -0.06782, nw = 1651 130613.0025.ec.fits: ap = 57, w1 = 5257.762, w2 = 5146.893, dw = -0.06719, nw = 1651 130613.0025.ec.fits: ap = 58, w1 = 5209.973, w2 = 5100.113, dw = -0.06658, nw = 1651 130613.0025.ec.fits: ap = 59, w1 = 5163.044, w2 = 5054.176, dw = -0.06598, nw = 1651 130613.0025.ec.fits: ap = 60, w1 = 5116.953, w2 = 5009.059, dw = -0.06539, nw = 1651 130613.0025.ec.fits: ap = 61, w1 = 5071.678, w2 = 4964.741, dw = -0.06481, nw = 1651 130613.0025.ec.fits: ap = 62, w1 = 5027.198, w2 = 4921.2, dw = -0.06424, nw = 1651 130613.0025.ec.fits: ap = 63, w1 = 4983.491, w2 = 4878.417, dw = -0.06368, nw = 1651 130613.0025.ec.fits: ap = 64, w1 = 4940.538, w2 = 4836.371, dw = -0.06313, nw = 1651 130613.0025.ec.fits: ap = 65, w1 = 4898.319, w2 = 4795.045, dw = -0.06259, nw = 1651 130613.0025.ec.fits: ap = 66, w1 = 4856.815, w2 = 4754.418, dw = -0.06206, nw = 1651 130613.0025.ec.fits: ap = 67, w1 = 4816.01, w2 = 4714.475, dw = -0.06154, nw = 1651 130613.0025.ec.fits: ap = 68, w1 = 4775.884, w2 = 4675.198, dw = -0.06102, nw = 1651 130613.0025.ec.fits: ap = 69, w1 = 4736.422, w2 = 4636.569, dw = -0.06052, nw = 1651 130613.0025.ec.fits: ap = 70, w1 = 4697.607, w2 = 4598.575, dw = -0.06002, nw = 1651 130613.0025.ec.fits: ap = 71, w1 = 4659.423, w2 = 4561.198, dw = -0.05953, nw = 1651 130613.0025.ec.fits: ap = 72, w1 = 4621.855, w2 = 4524.424, dw = -0.05905, nw = 1651 130613.0025.ec.fits: ap = 73, w1 = 4584.888, w2 = 4488.238, dw = -0.05858, nw = 1651 130613.0025.ec.fits: ap = 74, w1 = 4548.508, w2 = 4452.627, dw = -0.05811, nw = 1651 130613.0025.ec.fits: ap = 75, w1 = 4512.701, w2 = 4417.577, dw = -0.05765, nw = 1651 130613.0025.ec.fits: ap = 76, w1 = 4477.454, w2 = 4383.075, dw = -0.0572, nw = 1651 130613.0025.ec.fits: ap = 77, w1 = 4442.753, w2 = 4349.108, dw = -0.05675, nw = 1651 130613.0025.ec.fits: ap = 78, w1 = 4408.587, w2 = 4315.663, dw = -0.05632, nw = 1651 130613.0025.ec.fits: ap = 79, w1 = 4374.942, w2 = 4282.73, dw = -0.05589, nw = 1651 130613.0025.ec.fits: ap = 80, w1 = 4341.807, w2 = 4250.295, dw = -0.05546, nw = 1651 130613.0025.ec.fits: ap = 81, w1 = 4309.17, w2 = 4218.348, dw = -0.05504, nw = 1651 130613.0025.ec.fits: ap = 82, w1 = 4277.02, w2 = 4186.878, dw = -0.05463, nw = 1651 130613.0025.ec.fits: ap = 83, w1 = 4245.348, w2 = 4155.875, dw = -0.05423, nw = 1651 130613.0025.ec.fits: ap = 84, w1 = 4214.141, w2 = 4125.328, dw = -0.05383, nw = 1651 130613.0025.ec.fits: ap = 85, w1 = 4183.389, w2 = 4095.226, dw = -0.05343, nw = 1651 130613.0025.ec.fits: ap = 86, w1 = 4153.084, w2 = 4065.561, dw = -0.05304, nw = 1651 130613.0025.ec.fits: ap = 87, w1 = 4123.215, w2 = 4036.324, dw = -0.05266, nw = 1651 130613.0025.ec.fits: ap = 88, w1 = 4093.772, w2 = 4007.504, dw = -0.05228, nw = 1651 130613.0025.ec.fits: ap = 89, w1 = 4064.748, w2 = 3979.093, dw = -0.05191, nw = 1651 130613.0025.ec.fits: ap = 90, w1 = 4036.132, w2 = 3951.082, dw = -0.05155, nw = 1651 130613.0025.ec.fits: ap = 91, w1 = 4007.917, w2 = 3923.463, dw = -0.05118, nw = 1651 130613.0025.ec.fits: ap = 92, w1 = 3980.094, w2 = 3896.228, dw = -0.05083, nw = 1651 130613.0025.ec.fits: ap = 93, w1 = 3952.655, w2 = 3869.369, dw = -0.05048, nw = 1651 130613.0025.ec.fits: ap = 94, w1 = 3925.592, w2 = 3842.878, dw = -0.05013, nw = 1651 130613.0025.ec.fits: ap = 95, w1 = 3898.898, w2 = 3816.748, dw = -0.04979, nw = 1651 130613.0025.ec.fits: ap = 96, w1 = 3872.564, w2 = 3790.97, dw = -0.04945, nw = 1651 130613.0025.ec.fits: ap = 97, w1 = 3846.584, w2 = 3765.54, dw = -0.04912, nw = 1651 130613.0025.ec.fits: ap = 98, w1 = 3820.951, w2 = 3740.448, dw = -0.04879, nw = 1651 130613.0025.ec.fits: ap = 99, w1 = 3795.657, w2 = 3715.689, dw = -0.04847, nw = 1651 130613.0025.ec.fits: ap = 100, w1 = 3770.697, w2 = 3691.256, dw = -0.04815, nw = 1651 130613.0025.ec.fits: ap = 101, w1 = 3746.063, w2 = 3667.142, dw = -0.04783, nw = 1651 130613.0025.ec.fits: ap = 102, w1 = 3721.749, w2 = 3643.342, dw = -0.04752, nw = 1651 130613.0025.ec.fits: ap = 103, w1 = 3697.75, w2 = 3619.849, dw = -0.04721, nw = 1651 130613.0025.ec.fits: ap = 104, w1 = 3674.058, w2 = 3596.658, dw = -0.04691, nw = 1651 130613.0025.ec.fits: ap = 105, w1 = 3650.668, w2 = 3573.762, dw = -0.04661, nw = 1651 130613.0025.ec.fits: ap = 106, w1 = 3627.575, w2 = 3551.157, dw = -0.04631, nw = 1651 130613.0025.ec.fits: ap = 107, w1 = 3604.773, w2 = 3528.836, dw = -0.04602, nw = 1651 130613.0025.ec.fits: ap = 108, w1 = 3582.256, w2 = 3506.794, dw = -0.04573, nw = 1651 130613.0025.ec.fits: ap = 109, w1 = 3560.018, w2 = 3485.026, dw = -0.04545, nw = 1651 130613.0025.ec.fits: ap = 110, w1 = 3538.056, w2 = 3463.528, dw = -0.04517, nw = 1651 130613.0025.ec.fits: ap = 111, w1 = 3516.364, w2 = 3442.293, dw = -0.04489, nw = 1651 130613.0025.ec.fits: ap = 112, w1 = 3494.936, w2 = 3421.318, dw = -0.04462, nw = 1651 130613.0025.ec.fits: ap = 113, w1 = 3473.769, w2 = 3400.597, dw = -0.04435, nw = 1651 130613.0025.ec.fits: ap = 114, w1 = 3452.857, w2 = 3380.126, dw = -0.04408, nw = 1651 130613.0025.ec.fits: ap = 115, w1 = 3432.195, w2 = 3359.9, dw = -0.04382, nw = 1651 130613.0027.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' 130613.0027.ec.fits: ap = 1, w1 = 10812.33, w2 = 10584.15, dw = -0.13829, nw = 1651 130613.0027.ec.fits: ap = 2, w1 = 10612.11, w2 = 10388.16, dw = -0.13573, nw = 1651 130613.0027.ec.fits: ap = 3, w1 = 10419.17, w2 = 10199.29, dw = -0.13326, nw = 1651 130613.0027.ec.fits: ap = 4, w1 = 10233.12, w2 = 10017.18, dw = -0.13088, nw = 1651 130613.0027.ec.fits: ap = 5, w1 = 10053.61, w2 = 9841.452, dw = -0.12858, nw = 1651 130613.0027.ec.fits: ap = 6, w1 = 9880.279, w2 = 9671.786, dw = -0.12636, nw = 1651 130613.0027.ec.fits: ap = 7, w1 = 9712.827, w2 = 9507.871, dw = -0.12422, nw = 1651 130613.0027.ec.fits: ap = 8, w1 = 9550.957, w2 = 9349.419, dw = -0.12214, nw = 1651 130613.0027.ec.fits: ap = 9, w1 = 9394.395, w2 = 9196.164, dw = -0.12014, nw = 1651 130613.0027.ec.fits: ap = 10, w1 = 9242.883, w2 = 9047.852, dw = -0.1182, nw = 1651 130613.0027.ec.fits: ap = 11, w1 = 9096.181, w2 = 8904.248, dw = -0.11632, nw = 1651 130613.0027.ec.fits: ap = 12, w1 = 8954.064, w2 = 8765.132, dw = -0.1145, nw = 1651 130613.0027.ec.fits: ap = 13, w1 = 8816.32, w2 = 8630.297, dw = -0.11274, nw = 1651 130613.0027.ec.fits: ap = 14, w1 = 8682.75, w2 = 8499.548, dw = -0.11103, nw = 1651 130613.0027.ec.fits: ap = 15, w1 = 8553.167, w2 = 8372.702, dw = -0.10937, nw = 1651 130613.0027.ec.fits: ap = 16, w1 = 8427.396, w2 = 8249.587, dw = -0.10776, nw = 1651 130613.0027.ec.fits: ap = 17, w1 = 8305.27, w2 = 8130.04, dw = -0.1062, nw = 1651 130613.0027.ec.fits: ap = 18, w1 = 8186.634, w2 = 8013.909, dw = -0.10468, nw = 1651 130613.0027.ec.fits: ap = 19, w1 = 8071.34, w2 = 7901.049, dw = -0.10321, nw = 1651 130613.0027.ec.fits: ap = 20, w1 = 7959.248, w2 = 7791.325, dw = -0.10177, nw = 1651 130613.0027.ec.fits: ap = 21, w1 = 7850.228, w2 = 7684.607, dw = -0.10038, nw = 1651 130613.0027.ec.fits: ap = 22, w1 = 7744.154, w2 = 7580.773, dw = -0.09902, nw = 1651 130613.0027.ec.fits: ap = 23, w1 = 7640.909, w2 = 7479.708, dw = -0.0977, nw = 1651 130613.0027.ec.fits: ap = 24, w1 = 7540.381, w2 = 7381.302, dw = -0.09641, nw = 1651 130613.0027.ec.fits: ap = 25, w1 = 7442.464, w2 = 7285.453, dw = -0.09516, nw = 1651 130613.0027.ec.fits: ap = 26, w1 = 7347.058, w2 = 7192.062, dw = -0.09394, nw = 1651 130613.0027.ec.fits: ap = 27, w1 = 7254.067, w2 = 7101.034, dw = -0.09275, nw = 1651 130613.0027.ec.fits: ap = 28, w1 = 7163.401, w2 = 7012.283, dw = -0.09159, nw = 1651 130613.0027.ec.fits: ap = 29, w1 = 7074.974, w2 = 6925.723, dw = -0.09045, nw = 1651 130613.0027.ec.fits: ap = 30, w1 = 6988.703, w2 = 6841.274, dw = -0.08935, nw = 1651 130613.0027.ec.fits: ap = 31, w1 = 6904.512, w2 = 6758.861, dw = -0.08827, nw = 1651 130613.0027.ec.fits: ap = 32, w1 = 6822.325, w2 = 6678.409, dw = -0.08722, nw = 1651 130613.0027.ec.fits: ap = 33, w1 = 6742.071, w2 = 6599.851, dw = -0.08619, nw = 1651 130613.0027.ec.fits: ap = 34, w1 = 6663.685, w2 = 6523.119, dw = -0.08519, nw = 1651 130613.0027.ec.fits: ap = 35, w1 = 6587.1, w2 = 6448.152, dw = -0.08421, nw = 1651 130613.0027.ec.fits: ap = 36, w1 = 6512.256, w2 = 6374.888, dw = -0.08325, nw = 1651 130613.0027.ec.fits: ap = 37, w1 = 6439.093, w2 = 6303.271, dw = -0.08232, nw = 1651 130613.0027.ec.fits: ap = 38, w1 = 6367.557, w2 = 6233.245, dw = -0.0814, nw = 1651 130613.0027.ec.fits: ap = 39, w1 = 6297.593, w2 = 6164.759, dw = -0.08051, nw = 1651 130613.0027.ec.fits: ap = 40, w1 = 6229.15, w2 = 6097.761, dw = -0.07963, nw = 1651 130613.0027.ec.fits: ap = 41, w1 = 6162.179, w2 = 6032.204, dw = -0.07877, nw = 1651 130613.0027.ec.fits: ap = 42, w1 = 6096.632, w2 = 5968.042, dw = -0.07793, nw = 1651 130613.0027.ec.fits: ap = 43, w1 = 6032.466, w2 = 5905.231, dw = -0.07711, nw = 1651 130613.0027.ec.fits: ap = 44, w1 = 5969.636, w2 = 5843.729, dw = -0.07631, nw = 1651 130613.0027.ec.fits: ap = 45, w1 = 5908.102, w2 = 5783.494, dw = -0.07552, nw = 1651 130613.0027.ec.fits: ap = 46, w1 = 5847.824, w2 = 5724.489, dw = -0.07475, nw = 1651 130613.0027.ec.fits: ap = 47, w1 = 5788.763, w2 = 5666.676, dw = -0.07399, nw = 1651 130613.0027.ec.fits: ap = 48, w1 = 5730.884, w2 = 5610.02, dw = -0.07325, nw = 1651 130613.0027.ec.fits: ap = 49, w1 = 5674.151, w2 = 5554.485, dw = -0.07252, nw = 1651 130613.0027.ec.fits: ap = 50, w1 = 5618.53, w2 = 5500.039, dw = -0.07181, nw = 1651 130613.0027.ec.fits: ap = 51, w1 = 5563.99, w2 = 5446.651, dw = -0.07111, nw = 1651 130613.0027.ec.fits: ap = 52, w1 = 5510.498, w2 = 5394.289, dw = -0.07043, nw = 1651 130613.0027.ec.fits: ap = 53, w1 = 5458.025, w2 = 5342.925, dw = -0.06976, nw = 1651 130613.0027.ec.fits: ap = 54, w1 = 5406.543, w2 = 5292.53, dw = -0.0691, nw = 1651 130613.0027.ec.fits: ap = 55, w1 = 5356.022, w2 = 5243.077, dw = -0.06845, nw = 1651 130613.0027.ec.fits: ap = 56, w1 = 5306.437, w2 = 5194.54, dw = -0.06782, nw = 1651 130613.0027.ec.fits: ap = 57, w1 = 5257.762, w2 = 5146.893, dw = -0.06719, nw = 1651 130613.0027.ec.fits: ap = 58, w1 = 5209.973, w2 = 5100.113, dw = -0.06658, nw = 1651 130613.0027.ec.fits: ap = 59, w1 = 5163.044, w2 = 5054.176, dw = -0.06598, nw = 1651 130613.0027.ec.fits: ap = 60, w1 = 5116.953, w2 = 5009.059, dw = -0.06539, nw = 1651 130613.0027.ec.fits: ap = 61, w1 = 5071.678, w2 = 4964.741, dw = -0.06481, nw = 1651 130613.0027.ec.fits: ap = 62, w1 = 5027.198, w2 = 4921.2, dw = -0.06424, nw = 1651 130613.0027.ec.fits: ap = 63, w1 = 4983.491, w2 = 4878.417, dw = -0.06368, nw = 1651 130613.0027.ec.fits: ap = 64, w1 = 4940.538, w2 = 4836.371, dw = -0.06313, nw = 1651 130613.0027.ec.fits: ap = 65, w1 = 4898.319, w2 = 4795.045, dw = -0.06259, nw = 1651 130613.0027.ec.fits: ap = 66, w1 = 4856.815, w2 = 4754.418, dw = -0.06206, nw = 1651 130613.0027.ec.fits: ap = 67, w1 = 4816.01, w2 = 4714.475, dw = -0.06154, nw = 1651 130613.0027.ec.fits: ap = 68, w1 = 4775.884, w2 = 4675.198, dw = -0.06102, nw = 1651 130613.0027.ec.fits: ap = 69, w1 = 4736.422, w2 = 4636.569, dw = -0.06052, nw = 1651 130613.0027.ec.fits: ap = 70, w1 = 4697.607, w2 = 4598.575, dw = -0.06002, nw = 1651 130613.0027.ec.fits: ap = 71, w1 = 4659.423, w2 = 4561.198, dw = -0.05953, nw = 1651 130613.0027.ec.fits: ap = 72, w1 = 4621.855, w2 = 4524.424, dw = -0.05905, nw = 1651 130613.0027.ec.fits: ap = 73, w1 = 4584.888, w2 = 4488.238, dw = -0.05858, nw = 1651 130613.0027.ec.fits: ap = 74, w1 = 4548.508, w2 = 4452.627, dw = -0.05811, nw = 1651 130613.0027.ec.fits: ap = 75, w1 = 4512.701, w2 = 4417.577, dw = -0.05765, nw = 1651 130613.0027.ec.fits: ap = 76, w1 = 4477.454, w2 = 4383.075, dw = -0.0572, nw = 1651 130613.0027.ec.fits: ap = 77, w1 = 4442.753, w2 = 4349.108, dw = -0.05675, nw = 1651 130613.0027.ec.fits: ap = 78, w1 = 4408.587, w2 = 4315.663, dw = -0.05632, nw = 1651 130613.0027.ec.fits: ap = 79, w1 = 4374.942, w2 = 4282.73, dw = -0.05589, nw = 1651 130613.0027.ec.fits: ap = 80, w1 = 4341.807, w2 = 4250.295, dw = -0.05546, nw = 1651 130613.0027.ec.fits: ap = 81, w1 = 4309.17, w2 = 4218.348, dw = -0.05504, nw = 1651 130613.0027.ec.fits: ap = 82, w1 = 4277.02, w2 = 4186.878, dw = -0.05463, nw = 1651 130613.0027.ec.fits: ap = 83, w1 = 4245.348, w2 = 4155.875, dw = -0.05423, nw = 1651 130613.0027.ec.fits: ap = 84, w1 = 4214.141, w2 = 4125.328, dw = -0.05383, nw = 1651 130613.0027.ec.fits: ap = 85, w1 = 4183.389, w2 = 4095.226, dw = -0.05343, nw = 1651 130613.0027.ec.fits: ap = 86, w1 = 4153.084, w2 = 4065.561, dw = -0.05304, nw = 1651 130613.0027.ec.fits: ap = 87, w1 = 4123.215, w2 = 4036.324, dw = -0.05266, nw = 1651 130613.0027.ec.fits: ap = 88, w1 = 4093.772, w2 = 4007.504, dw = -0.05228, nw = 1651 130613.0027.ec.fits: ap = 89, w1 = 4064.748, w2 = 3979.093, dw = -0.05191, nw = 1651 130613.0027.ec.fits: ap = 90, w1 = 4036.132, w2 = 3951.082, dw = -0.05155, nw = 1651 130613.0027.ec.fits: ap = 91, w1 = 4007.917, w2 = 3923.463, dw = -0.05118, nw = 1651 130613.0027.ec.fits: ap = 92, w1 = 3980.094, w2 = 3896.228, dw = -0.05083, nw = 1651 130613.0027.ec.fits: ap = 93, w1 = 3952.655, w2 = 3869.369, dw = -0.05048, nw = 1651 130613.0027.ec.fits: ap = 94, w1 = 3925.592, w2 = 3842.878, dw = -0.05013, nw = 1651 130613.0027.ec.fits: ap = 95, w1 = 3898.898, w2 = 3816.748, dw = -0.04979, nw = 1651 130613.0027.ec.fits: ap = 96, w1 = 3872.564, w2 = 3790.97, dw = -0.04945, nw = 1651 130613.0027.ec.fits: ap = 97, w1 = 3846.584, w2 = 3765.54, dw = -0.04912, nw = 1651 130613.0027.ec.fits: ap = 98, w1 = 3820.951, w2 = 3740.448, dw = -0.04879, nw = 1651 130613.0027.ec.fits: ap = 99, w1 = 3795.657, w2 = 3715.689, dw = -0.04847, nw = 1651 130613.0027.ec.fits: ap = 100, w1 = 3770.697, w2 = 3691.256, dw = -0.04815, nw = 1651 130613.0027.ec.fits: ap = 101, w1 = 3746.063, w2 = 3667.142, dw = -0.04783, nw = 1651 130613.0027.ec.fits: ap = 102, w1 = 3721.749, w2 = 3643.342, dw = -0.04752, nw = 1651 130613.0027.ec.fits: ap = 103, w1 = 3697.75, w2 = 3619.849, dw = -0.04721, nw = 1651 130613.0027.ec.fits: ap = 104, w1 = 3674.058, w2 = 3596.658, dw = -0.04691, nw = 1651 130613.0027.ec.fits: ap = 105, w1 = 3650.668, w2 = 3573.762, dw = -0.04661, nw = 1651 130613.0027.ec.fits: ap = 106, w1 = 3627.575, w2 = 3551.157, dw = -0.04631, nw = 1651 130613.0027.ec.fits: ap = 107, w1 = 3604.773, w2 = 3528.836, dw = -0.04602, nw = 1651 130613.0027.ec.fits: ap = 108, w1 = 3582.256, w2 = 3506.794, dw = -0.04573, nw = 1651 130613.0027.ec.fits: ap = 109, w1 = 3560.018, w2 = 3485.026, dw = -0.04545, nw = 1651 130613.0027.ec.fits: ap = 110, w1 = 3538.056, w2 = 3463.528, dw = -0.04517, nw = 1651 130613.0027.ec.fits: ap = 111, w1 = 3516.364, w2 = 3442.293, dw = -0.04489, nw = 1651 130613.0027.ec.fits: ap = 112, w1 = 3494.936, w2 = 3421.318, dw = -0.04462, nw = 1651 130613.0027.ec.fits: ap = 113, w1 = 3473.769, w2 = 3400.597, dw = -0.04435, nw = 1651 130613.0027.ec.fits: ap = 114, w1 = 3452.857, w2 = 3380.126, dw = -0.04408, nw = 1651 130613.0027.ec.fits: ap = 115, w1 = 3432.195, w2 = 3359.9, dw = -0.04382, nw = 1651 130613.0028.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' 130613.0028.ec.fits: ap = 1, w1 = 10812.33, w2 = 10584.15, dw = -0.13829, nw = 1651 130613.0028.ec.fits: ap = 2, w1 = 10612.11, w2 = 10388.16, dw = -0.13573, nw = 1651 130613.0028.ec.fits: ap = 3, w1 = 10419.17, w2 = 10199.29, dw = -0.13326, nw = 1651 130613.0028.ec.fits: ap = 4, w1 = 10233.12, w2 = 10017.18, dw = -0.13088, nw = 1651 130613.0028.ec.fits: ap = 5, w1 = 10053.61, w2 = 9841.452, dw = -0.12858, nw = 1651 130613.0028.ec.fits: ap = 6, w1 = 9880.279, w2 = 9671.786, dw = -0.12636, nw = 1651 130613.0028.ec.fits: ap = 7, w1 = 9712.827, w2 = 9507.871, dw = -0.12422, nw = 1651 130613.0028.ec.fits: ap = 8, w1 = 9550.957, w2 = 9349.419, dw = -0.12214, nw = 1651 130613.0028.ec.fits: ap = 9, w1 = 9394.395, w2 = 9196.164, dw = -0.12014, nw = 1651 130613.0028.ec.fits: ap = 10, w1 = 9242.883, w2 = 9047.852, dw = -0.1182, nw = 1651 130613.0028.ec.fits: ap = 11, w1 = 9096.181, w2 = 8904.248, dw = -0.11632, nw = 1651 130613.0028.ec.fits: ap = 12, w1 = 8954.064, w2 = 8765.132, dw = -0.1145, nw = 1651 130613.0028.ec.fits: ap = 13, w1 = 8816.32, w2 = 8630.297, dw = -0.11274, nw = 1651 130613.0028.ec.fits: ap = 14, w1 = 8682.75, w2 = 8499.548, dw = -0.11103, nw = 1651 130613.0028.ec.fits: ap = 15, w1 = 8553.167, w2 = 8372.702, dw = -0.10937, nw = 1651 130613.0028.ec.fits: ap = 16, w1 = 8427.396, w2 = 8249.587, dw = -0.10776, nw = 1651 130613.0028.ec.fits: ap = 17, w1 = 8305.27, w2 = 8130.04, dw = -0.1062, nw = 1651 130613.0028.ec.fits: ap = 18, w1 = 8186.634, w2 = 8013.909, dw = -0.10468, nw = 1651 130613.0028.ec.fits: ap = 19, w1 = 8071.34, w2 = 7901.049, dw = -0.10321, nw = 1651 130613.0028.ec.fits: ap = 20, w1 = 7959.248, w2 = 7791.325, dw = -0.10177, nw = 1651 130613.0028.ec.fits: ap = 21, w1 = 7850.228, w2 = 7684.607, dw = -0.10038, nw = 1651 130613.0028.ec.fits: ap = 22, w1 = 7744.154, w2 = 7580.773, dw = -0.09902, nw = 1651 130613.0028.ec.fits: ap = 23, w1 = 7640.909, w2 = 7479.708, dw = -0.0977, nw = 1651 130613.0028.ec.fits: ap = 24, w1 = 7540.381, w2 = 7381.302, dw = -0.09641, nw = 1651 130613.0028.ec.fits: ap = 25, w1 = 7442.464, w2 = 7285.453, dw = -0.09516, nw = 1651 130613.0028.ec.fits: ap = 26, w1 = 7347.058, w2 = 7192.062, dw = -0.09394, nw = 1651 130613.0028.ec.fits: ap = 27, w1 = 7254.067, w2 = 7101.034, dw = -0.09275, nw = 1651 130613.0028.ec.fits: ap = 28, w1 = 7163.401, w2 = 7012.283, dw = -0.09159, nw = 1651 130613.0028.ec.fits: ap = 29, w1 = 7074.974, w2 = 6925.723, dw = -0.09045, nw = 1651 130613.0028.ec.fits: ap = 30, w1 = 6988.703, w2 = 6841.274, dw = -0.08935, nw = 1651 130613.0028.ec.fits: ap = 31, w1 = 6904.512, w2 = 6758.861, dw = -0.08827, nw = 1651 130613.0028.ec.fits: ap = 32, w1 = 6822.325, w2 = 6678.409, dw = -0.08722, nw = 1651 130613.0028.ec.fits: ap = 33, w1 = 6742.071, w2 = 6599.851, dw = -0.08619, nw = 1651 130613.0028.ec.fits: ap = 34, w1 = 6663.685, w2 = 6523.119, dw = -0.08519, nw = 1651 130613.0028.ec.fits: ap = 35, w1 = 6587.1, w2 = 6448.152, dw = -0.08421, nw = 1651 130613.0028.ec.fits: ap = 36, w1 = 6512.256, w2 = 6374.888, dw = -0.08325, nw = 1651 130613.0028.ec.fits: ap = 37, w1 = 6439.093, w2 = 6303.271, dw = -0.08232, nw = 1651 130613.0028.ec.fits: ap = 38, w1 = 6367.557, w2 = 6233.245, dw = -0.0814, nw = 1651 130613.0028.ec.fits: ap = 39, w1 = 6297.593, w2 = 6164.759, dw = -0.08051, nw = 1651 130613.0028.ec.fits: ap = 40, w1 = 6229.15, w2 = 6097.761, dw = -0.07963, nw = 1651 130613.0028.ec.fits: ap = 41, w1 = 6162.179, w2 = 6032.204, dw = -0.07877, nw = 1651 130613.0028.ec.fits: ap = 42, w1 = 6096.632, w2 = 5968.042, dw = -0.07793, nw = 1651 130613.0028.ec.fits: ap = 43, w1 = 6032.466, w2 = 5905.231, dw = -0.07711, nw = 1651 130613.0028.ec.fits: ap = 44, w1 = 5969.636, w2 = 5843.729, dw = -0.07631, nw = 1651 130613.0028.ec.fits: ap = 45, w1 = 5908.102, w2 = 5783.494, dw = -0.07552, nw = 1651 130613.0028.ec.fits: ap = 46, w1 = 5847.824, w2 = 5724.489, dw = -0.07475, nw = 1651 130613.0028.ec.fits: ap = 47, w1 = 5788.763, w2 = 5666.676, dw = -0.07399, nw = 1651 130613.0028.ec.fits: ap = 48, w1 = 5730.884, w2 = 5610.02, dw = -0.07325, nw = 1651 130613.0028.ec.fits: ap = 49, w1 = 5674.151, w2 = 5554.485, dw = -0.07252, nw = 1651 130613.0028.ec.fits: ap = 50, w1 = 5618.53, w2 = 5500.039, dw = -0.07181, nw = 1651 130613.0028.ec.fits: ap = 51, w1 = 5563.99, w2 = 5446.651, dw = -0.07111, nw = 1651 130613.0028.ec.fits: ap = 52, w1 = 5510.498, w2 = 5394.289, dw = -0.07043, nw = 1651 130613.0028.ec.fits: ap = 53, w1 = 5458.025, w2 = 5342.925, dw = -0.06976, nw = 1651 130613.0028.ec.fits: ap = 54, w1 = 5406.543, w2 = 5292.53, dw = -0.0691, nw = 1651 130613.0028.ec.fits: ap = 55, w1 = 5356.022, w2 = 5243.077, dw = -0.06845, nw = 1651 130613.0028.ec.fits: ap = 56, w1 = 5306.437, w2 = 5194.54, dw = -0.06782, nw = 1651 130613.0028.ec.fits: ap = 57, w1 = 5257.762, w2 = 5146.893, dw = -0.06719, nw = 1651 130613.0028.ec.fits: ap = 58, w1 = 5209.973, w2 = 5100.113, dw = -0.06658, nw = 1651 130613.0028.ec.fits: ap = 59, w1 = 5163.044, w2 = 5054.176, dw = -0.06598, nw = 1651 130613.0028.ec.fits: ap = 60, w1 = 5116.953, w2 = 5009.059, dw = -0.06539, nw = 1651 130613.0028.ec.fits: ap = 61, w1 = 5071.678, w2 = 4964.741, dw = -0.06481, nw = 1651 130613.0028.ec.fits: ap = 62, w1 = 5027.198, w2 = 4921.2, dw = -0.06424, nw = 1651 130613.0028.ec.fits: ap = 63, w1 = 4983.491, w2 = 4878.417, dw = -0.06368, nw = 1651 130613.0028.ec.fits: ap = 64, w1 = 4940.538, w2 = 4836.371, dw = -0.06313, nw = 1651 130613.0028.ec.fits: ap = 65, w1 = 4898.319, w2 = 4795.045, dw = -0.06259, nw = 1651 130613.0028.ec.fits: ap = 66, w1 = 4856.815, w2 = 4754.418, dw = -0.06206, nw = 1651 130613.0028.ec.fits: ap = 67, w1 = 4816.01, w2 = 4714.475, dw = -0.06154, nw = 1651 130613.0028.ec.fits: ap = 68, w1 = 4775.884, w2 = 4675.198, dw = -0.06102, nw = 1651 130613.0028.ec.fits: ap = 69, w1 = 4736.422, w2 = 4636.569, dw = -0.06052, nw = 1651 130613.0028.ec.fits: ap = 70, w1 = 4697.607, w2 = 4598.575, dw = -0.06002, nw = 1651 130613.0028.ec.fits: ap = 71, w1 = 4659.423, w2 = 4561.198, dw = -0.05953, nw = 1651 130613.0028.ec.fits: ap = 72, w1 = 4621.855, w2 = 4524.424, dw = -0.05905, nw = 1651 130613.0028.ec.fits: ap = 73, w1 = 4584.888, w2 = 4488.238, dw = -0.05858, nw = 1651 130613.0028.ec.fits: ap = 74, w1 = 4548.508, w2 = 4452.627, dw = -0.05811, nw = 1651 130613.0028.ec.fits: ap = 75, w1 = 4512.701, w2 = 4417.577, dw = -0.05765, nw = 1651 130613.0028.ec.fits: ap = 76, w1 = 4477.454, w2 = 4383.075, dw = -0.0572, nw = 1651 130613.0028.ec.fits: ap = 77, w1 = 4442.753, w2 = 4349.108, dw = -0.05675, nw = 1651 130613.0028.ec.fits: ap = 78, w1 = 4408.587, w2 = 4315.663, dw = -0.05632, nw = 1651 130613.0028.ec.fits: ap = 79, w1 = 4374.942, w2 = 4282.73, dw = -0.05589, nw = 1651 130613.0028.ec.fits: ap = 80, w1 = 4341.807, w2 = 4250.295, dw = -0.05546, nw = 1651 130613.0028.ec.fits: ap = 81, w1 = 4309.17, w2 = 4218.348, dw = -0.05504, nw = 1651 130613.0028.ec.fits: ap = 82, w1 = 4277.02, w2 = 4186.878, dw = -0.05463, nw = 1651 130613.0028.ec.fits: ap = 83, w1 = 4245.348, w2 = 4155.875, dw = -0.05423, nw = 1651 130613.0028.ec.fits: ap = 84, w1 = 4214.141, w2 = 4125.328, dw = -0.05383, nw = 1651 130613.0028.ec.fits: ap = 85, w1 = 4183.389, w2 = 4095.226, dw = -0.05343, nw = 1651 130613.0028.ec.fits: ap = 86, w1 = 4153.084, w2 = 4065.561, dw = -0.05304, nw = 1651 130613.0028.ec.fits: ap = 87, w1 = 4123.215, w2 = 4036.324, dw = -0.05266, nw = 1651 130613.0028.ec.fits: ap = 88, w1 = 4093.772, w2 = 4007.504, dw = -0.05228, nw = 1651 130613.0028.ec.fits: ap = 89, w1 = 4064.748, w2 = 3979.093, dw = -0.05191, nw = 1651 130613.0028.ec.fits: ap = 90, w1 = 4036.132, w2 = 3951.082, dw = -0.05155, nw = 1651 130613.0028.ec.fits: ap = 91, w1 = 4007.917, w2 = 3923.463, dw = -0.05118, nw = 1651 130613.0028.ec.fits: ap = 92, w1 = 3980.094, w2 = 3896.228, dw = -0.05083, nw = 1651 130613.0028.ec.fits: ap = 93, w1 = 3952.655, w2 = 3869.369, dw = -0.05048, nw = 1651 130613.0028.ec.fits: ap = 94, w1 = 3925.592, w2 = 3842.878, dw = -0.05013, nw = 1651 130613.0028.ec.fits: ap = 95, w1 = 3898.898, w2 = 3816.748, dw = -0.04979, nw = 1651 130613.0028.ec.fits: ap = 96, w1 = 3872.564, w2 = 3790.97, dw = -0.04945, nw = 1651 130613.0028.ec.fits: ap = 97, w1 = 3846.584, w2 = 3765.54, dw = -0.04912, nw = 1651 130613.0028.ec.fits: ap = 98, w1 = 3820.951, w2 = 3740.448, dw = -0.04879, nw = 1651 130613.0028.ec.fits: ap = 99, w1 = 3795.657, w2 = 3715.689, dw = -0.04847, nw = 1651 130613.0028.ec.fits: ap = 100, w1 = 3770.697, w2 = 3691.256, dw = -0.04815, nw = 1651 130613.0028.ec.fits: ap = 101, w1 = 3746.063, w2 = 3667.142, dw = -0.04783, nw = 1651 130613.0028.ec.fits: ap = 102, w1 = 3721.749, w2 = 3643.342, dw = -0.04752, nw = 1651 130613.0028.ec.fits: ap = 103, w1 = 3697.75, w2 = 3619.849, dw = -0.04721, nw = 1651 130613.0028.ec.fits: ap = 104, w1 = 3674.058, w2 = 3596.658, dw = -0.04691, nw = 1651 130613.0028.ec.fits: ap = 105, w1 = 3650.668, w2 = 3573.762, dw = -0.04661, nw = 1651 130613.0028.ec.fits: ap = 106, w1 = 3627.575, w2 = 3551.157, dw = -0.04631, nw = 1651 130613.0028.ec.fits: ap = 107, w1 = 3604.773, w2 = 3528.836, dw = -0.04602, nw = 1651 130613.0028.ec.fits: ap = 108, w1 = 3582.256, w2 = 3506.794, dw = -0.04573, nw = 1651 130613.0028.ec.fits: ap = 109, w1 = 3560.018, w2 = 3485.026, dw = -0.04545, nw = 1651 130613.0028.ec.fits: ap = 110, w1 = 3538.056, w2 = 3463.528, dw = -0.04517, nw = 1651 130613.0028.ec.fits: ap = 111, w1 = 3516.364, w2 = 3442.293, dw = -0.04489, nw = 1651 130613.0028.ec.fits: ap = 112, w1 = 3494.936, w2 = 3421.318, dw = -0.04462, nw = 1651 130613.0028.ec.fits: ap = 113, w1 = 3473.769, w2 = 3400.597, dw = -0.04435, nw = 1651 130613.0028.ec.fits: ap = 114, w1 = 3452.857, w2 = 3380.126, dw = -0.04408, nw = 1651 130613.0028.ec.fits: ap = 115, w1 = 3432.195, w2 = 3359.9, dw = -0.04382, nw = 1651 130613.0029.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' 130613.0029.ec.fits: ap = 1, w1 = 10812.33, w2 = 10584.15, dw = -0.13829, nw = 1651 130613.0029.ec.fits: ap = 2, w1 = 10612.11, w2 = 10388.16, dw = -0.13573, nw = 1651 130613.0029.ec.fits: ap = 3, w1 = 10419.17, w2 = 10199.29, dw = -0.13326, nw = 1651 130613.0029.ec.fits: ap = 4, w1 = 10233.12, w2 = 10017.18, dw = -0.13088, nw = 1651 130613.0029.ec.fits: ap = 5, w1 = 10053.61, w2 = 9841.452, dw = -0.12858, nw = 1651 130613.0029.ec.fits: ap = 6, w1 = 9880.279, w2 = 9671.786, dw = -0.12636, nw = 1651 130613.0029.ec.fits: ap = 7, w1 = 9712.827, w2 = 9507.871, dw = -0.12422, nw = 1651 130613.0029.ec.fits: ap = 8, w1 = 9550.957, w2 = 9349.419, dw = -0.12214, nw = 1651 130613.0029.ec.fits: ap = 9, w1 = 9394.395, w2 = 9196.164, dw = -0.12014, nw = 1651 130613.0029.ec.fits: ap = 10, w1 = 9242.883, w2 = 9047.852, dw = -0.1182, nw = 1651 130613.0029.ec.fits: ap = 11, w1 = 9096.181, w2 = 8904.248, dw = -0.11632, nw = 1651 130613.0029.ec.fits: ap = 12, w1 = 8954.064, w2 = 8765.132, dw = -0.1145, nw = 1651 130613.0029.ec.fits: ap = 13, w1 = 8816.32, w2 = 8630.297, dw = -0.11274, nw = 1651 130613.0029.ec.fits: ap = 14, w1 = 8682.75, w2 = 8499.548, dw = -0.11103, nw = 1651 130613.0029.ec.fits: ap = 15, w1 = 8553.167, w2 = 8372.702, dw = -0.10937, nw = 1651 130613.0029.ec.fits: ap = 16, w1 = 8427.396, w2 = 8249.587, dw = -0.10776, nw = 1651 130613.0029.ec.fits: ap = 17, w1 = 8305.27, w2 = 8130.04, dw = -0.1062, nw = 1651 130613.0029.ec.fits: ap = 18, w1 = 8186.634, w2 = 8013.909, dw = -0.10468, nw = 1651 130613.0029.ec.fits: ap = 19, w1 = 8071.34, w2 = 7901.049, dw = -0.10321, nw = 1651 130613.0029.ec.fits: ap = 20, w1 = 7959.248, w2 = 7791.325, dw = -0.10177, nw = 1651 130613.0029.ec.fits: ap = 21, w1 = 7850.228, w2 = 7684.607, dw = -0.10038, nw = 1651 130613.0029.ec.fits: ap = 22, w1 = 7744.154, w2 = 7580.773, dw = -0.09902, nw = 1651 130613.0029.ec.fits: ap = 23, w1 = 7640.909, w2 = 7479.708, dw = -0.0977, nw = 1651 130613.0029.ec.fits: ap = 24, w1 = 7540.381, w2 = 7381.302, dw = -0.09641, nw = 1651 130613.0029.ec.fits: ap = 25, w1 = 7442.464, w2 = 7285.453, dw = -0.09516, nw = 1651 130613.0029.ec.fits: ap = 26, w1 = 7347.058, w2 = 7192.062, dw = -0.09394, nw = 1651 130613.0029.ec.fits: ap = 27, w1 = 7254.067, w2 = 7101.034, dw = -0.09275, nw = 1651 130613.0029.ec.fits: ap = 28, w1 = 7163.401, w2 = 7012.283, dw = -0.09159, nw = 1651 130613.0029.ec.fits: ap = 29, w1 = 7074.974, w2 = 6925.723, dw = -0.09045, nw = 1651 130613.0029.ec.fits: ap = 30, w1 = 6988.703, w2 = 6841.274, dw = -0.08935, nw = 1651 130613.0029.ec.fits: ap = 31, w1 = 6904.512, w2 = 6758.861, dw = -0.08827, nw = 1651 130613.0029.ec.fits: ap = 32, w1 = 6822.325, w2 = 6678.409, dw = -0.08722, nw = 1651 130613.0029.ec.fits: ap = 33, w1 = 6742.071, w2 = 6599.851, dw = -0.08619, nw = 1651 130613.0029.ec.fits: ap = 34, w1 = 6663.685, w2 = 6523.119, dw = -0.08519, nw = 1651 130613.0029.ec.fits: ap = 35, w1 = 6587.1, w2 = 6448.152, dw = -0.08421, nw = 1651 130613.0029.ec.fits: ap = 36, w1 = 6512.256, w2 = 6374.888, dw = -0.08325, nw = 1651 130613.0029.ec.fits: ap = 37, w1 = 6439.093, w2 = 6303.271, dw = -0.08232, nw = 1651 130613.0029.ec.fits: ap = 38, w1 = 6367.557, w2 = 6233.245, dw = -0.0814, nw = 1651 130613.0029.ec.fits: ap = 39, w1 = 6297.593, w2 = 6164.759, dw = -0.08051, nw = 1651 130613.0029.ec.fits: ap = 40, w1 = 6229.15, w2 = 6097.761, dw = -0.07963, nw = 1651 130613.0029.ec.fits: ap = 41, w1 = 6162.179, w2 = 6032.204, dw = -0.07877, nw = 1651 130613.0029.ec.fits: ap = 42, w1 = 6096.632, w2 = 5968.042, dw = -0.07793, nw = 1651 130613.0029.ec.fits: ap = 43, w1 = 6032.466, w2 = 5905.231, dw = -0.07711, nw = 1651 130613.0029.ec.fits: ap = 44, w1 = 5969.636, w2 = 5843.729, dw = -0.07631, nw = 1651 130613.0029.ec.fits: ap = 45, w1 = 5908.102, w2 = 5783.494, dw = -0.07552, nw = 1651 130613.0029.ec.fits: ap = 46, w1 = 5847.824, w2 = 5724.489, dw = -0.07475, nw = 1651 130613.0029.ec.fits: ap = 47, w1 = 5788.763, w2 = 5666.676, dw = -0.07399, nw = 1651 130613.0029.ec.fits: ap = 48, w1 = 5730.884, w2 = 5610.02, dw = -0.07325, nw = 1651 130613.0029.ec.fits: ap = 49, w1 = 5674.151, w2 = 5554.485, dw = -0.07252, nw = 1651 130613.0029.ec.fits: ap = 50, w1 = 5618.53, w2 = 5500.039, dw = -0.07181, nw = 1651 130613.0029.ec.fits: ap = 51, w1 = 5563.99, w2 = 5446.651, dw = -0.07111, nw = 1651 130613.0029.ec.fits: ap = 52, w1 = 5510.498, w2 = 5394.289, dw = -0.07043, nw = 1651 130613.0029.ec.fits: ap = 53, w1 = 5458.025, w2 = 5342.925, dw = -0.06976, nw = 1651 130613.0029.ec.fits: ap = 54, w1 = 5406.543, w2 = 5292.53, dw = -0.0691, nw = 1651 130613.0029.ec.fits: ap = 55, w1 = 5356.022, w2 = 5243.077, dw = -0.06845, nw = 1651 130613.0029.ec.fits: ap = 56, w1 = 5306.437, w2 = 5194.54, dw = -0.06782, nw = 1651 130613.0029.ec.fits: ap = 57, w1 = 5257.762, w2 = 5146.893, dw = -0.06719, nw = 1651 130613.0029.ec.fits: ap = 58, w1 = 5209.973, w2 = 5100.113, dw = -0.06658, nw = 1651 130613.0029.ec.fits: ap = 59, w1 = 5163.044, w2 = 5054.176, dw = -0.06598, nw = 1651 130613.0029.ec.fits: ap = 60, w1 = 5116.953, w2 = 5009.059, dw = -0.06539, nw = 1651 130613.0029.ec.fits: ap = 61, w1 = 5071.678, w2 = 4964.741, dw = -0.06481, nw = 1651 130613.0029.ec.fits: ap = 62, w1 = 5027.198, w2 = 4921.2, dw = -0.06424, nw = 1651 130613.0029.ec.fits: ap = 63, w1 = 4983.491, w2 = 4878.417, dw = -0.06368, nw = 1651 130613.0029.ec.fits: ap = 64, w1 = 4940.538, w2 = 4836.371, dw = -0.06313, nw = 1651 130613.0029.ec.fits: ap = 65, w1 = 4898.319, w2 = 4795.045, dw = -0.06259, nw = 1651 130613.0029.ec.fits: ap = 66, w1 = 4856.815, w2 = 4754.418, dw = -0.06206, nw = 1651 130613.0029.ec.fits: ap = 67, w1 = 4816.01, w2 = 4714.475, dw = -0.06154, nw = 1651 130613.0029.ec.fits: ap = 68, w1 = 4775.884, w2 = 4675.198, dw = -0.06102, nw = 1651 130613.0029.ec.fits: ap = 69, w1 = 4736.422, w2 = 4636.569, dw = -0.06052, nw = 1651 130613.0029.ec.fits: ap = 70, w1 = 4697.607, w2 = 4598.575, dw = -0.06002, nw = 1651 130613.0029.ec.fits: ap = 71, w1 = 4659.423, w2 = 4561.198, dw = -0.05953, nw = 1651 130613.0029.ec.fits: ap = 72, w1 = 4621.855, w2 = 4524.424, dw = -0.05905, nw = 1651 130613.0029.ec.fits: ap = 73, w1 = 4584.888, w2 = 4488.238, dw = -0.05858, nw = 1651 130613.0029.ec.fits: ap = 74, w1 = 4548.508, w2 = 4452.627, dw = -0.05811, nw = 1651 130613.0029.ec.fits: ap = 75, w1 = 4512.701, w2 = 4417.577, dw = -0.05765, nw = 1651 130613.0029.ec.fits: ap = 76, w1 = 4477.454, w2 = 4383.075, dw = -0.0572, nw = 1651 130613.0029.ec.fits: ap = 77, w1 = 4442.753, w2 = 4349.108, dw = -0.05675, nw = 1651 130613.0029.ec.fits: ap = 78, w1 = 4408.587, w2 = 4315.663, dw = -0.05632, nw = 1651 130613.0029.ec.fits: ap = 79, w1 = 4374.942, w2 = 4282.73, dw = -0.05589, nw = 1651 130613.0029.ec.fits: ap = 80, w1 = 4341.807, w2 = 4250.295, dw = -0.05546, nw = 1651 130613.0029.ec.fits: ap = 81, w1 = 4309.17, w2 = 4218.348, dw = -0.05504, nw = 1651 130613.0029.ec.fits: ap = 82, w1 = 4277.02, w2 = 4186.878, dw = -0.05463, nw = 1651 130613.0029.ec.fits: ap = 83, w1 = 4245.348, w2 = 4155.875, dw = -0.05423, nw = 1651 130613.0029.ec.fits: ap = 84, w1 = 4214.141, w2 = 4125.328, dw = -0.05383, nw = 1651 130613.0029.ec.fits: ap = 85, w1 = 4183.389, w2 = 4095.226, dw = -0.05343, nw = 1651 130613.0029.ec.fits: ap = 86, w1 = 4153.084, w2 = 4065.561, dw = -0.05304, nw = 1651 130613.0029.ec.fits: ap = 87, w1 = 4123.215, w2 = 4036.324, dw = -0.05266, nw = 1651 130613.0029.ec.fits: ap = 88, w1 = 4093.772, w2 = 4007.504, dw = -0.05228, nw = 1651 130613.0029.ec.fits: ap = 89, w1 = 4064.748, w2 = 3979.093, dw = -0.05191, nw = 1651 130613.0029.ec.fits: ap = 90, w1 = 4036.132, w2 = 3951.082, dw = -0.05155, nw = 1651 130613.0029.ec.fits: ap = 91, w1 = 4007.917, w2 = 3923.463, dw = -0.05118, nw = 1651 130613.0029.ec.fits: ap = 92, w1 = 3980.094, w2 = 3896.228, dw = -0.05083, nw = 1651 130613.0029.ec.fits: ap = 93, w1 = 3952.655, w2 = 3869.369, dw = -0.05048, nw = 1651 130613.0029.ec.fits: ap = 94, w1 = 3925.592, w2 = 3842.878, dw = -0.05013, nw = 1651 130613.0029.ec.fits: ap = 95, w1 = 3898.898, w2 = 3816.748, dw = -0.04979, nw = 1651 130613.0029.ec.fits: ap = 96, w1 = 3872.564, w2 = 3790.97, dw = -0.04945, nw = 1651 130613.0029.ec.fits: ap = 97, w1 = 3846.584, w2 = 3765.54, dw = -0.04912, nw = 1651 130613.0029.ec.fits: ap = 98, w1 = 3820.951, w2 = 3740.448, dw = -0.04879, nw = 1651 130613.0029.ec.fits: ap = 99, w1 = 3795.657, w2 = 3715.689, dw = -0.04847, nw = 1651 130613.0029.ec.fits: ap = 100, w1 = 3770.697, w2 = 3691.256, dw = -0.04815, nw = 1651 130613.0029.ec.fits: ap = 101, w1 = 3746.063, w2 = 3667.142, dw = -0.04783, nw = 1651 130613.0029.ec.fits: ap = 102, w1 = 3721.749, w2 = 3643.342, dw = -0.04752, nw = 1651 130613.0029.ec.fits: ap = 103, w1 = 3697.75, w2 = 3619.849, dw = -0.04721, nw = 1651 130613.0029.ec.fits: ap = 104, w1 = 3674.058, w2 = 3596.658, dw = -0.04691, nw = 1651 130613.0029.ec.fits: ap = 105, w1 = 3650.668, w2 = 3573.762, dw = -0.04661, nw = 1651 130613.0029.ec.fits: ap = 106, w1 = 3627.575, w2 = 3551.157, dw = -0.04631, nw = 1651 130613.0029.ec.fits: ap = 107, w1 = 3604.773, w2 = 3528.836, dw = -0.04602, nw = 1651 130613.0029.ec.fits: ap = 108, w1 = 3582.256, w2 = 3506.794, dw = -0.04573, nw = 1651 130613.0029.ec.fits: ap = 109, w1 = 3560.018, w2 = 3485.026, dw = -0.04545, nw = 1651 130613.0029.ec.fits: ap = 110, w1 = 3538.056, w2 = 3463.528, dw = -0.04517, nw = 1651 130613.0029.ec.fits: ap = 111, w1 = 3516.364, w2 = 3442.293, dw = -0.04489, nw = 1651 130613.0029.ec.fits: ap = 112, w1 = 3494.936, w2 = 3421.318, dw = -0.04462, nw = 1651 130613.0029.ec.fits: ap = 113, w1 = 3473.769, w2 = 3400.597, dw = -0.04435, nw = 1651 130613.0029.ec.fits: ap = 114, w1 = 3452.857, w2 = 3380.126, dw = -0.04408, nw = 1651 130613.0029.ec.fits: ap = 115, w1 = 3432.195, w2 = 3359.9, dw = -0.04382, nw = 1651 130613.0031.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' 130613.0031.ec.fits: ap = 1, w1 = 10812.33, w2 = 10584.15, dw = -0.13829, nw = 1651 130613.0031.ec.fits: ap = 2, w1 = 10612.11, w2 = 10388.16, dw = -0.13573, nw = 1651 130613.0031.ec.fits: ap = 3, w1 = 10419.17, w2 = 10199.29, dw = -0.13326, nw = 1651 130613.0031.ec.fits: ap = 4, w1 = 10233.12, w2 = 10017.18, dw = -0.13088, nw = 1651 130613.0031.ec.fits: ap = 5, w1 = 10053.61, w2 = 9841.452, dw = -0.12858, nw = 1651 130613.0031.ec.fits: ap = 6, w1 = 9880.279, w2 = 9671.786, dw = -0.12636, nw = 1651 130613.0031.ec.fits: ap = 7, w1 = 9712.827, w2 = 9507.871, dw = -0.12422, nw = 1651 130613.0031.ec.fits: ap = 8, w1 = 9550.957, w2 = 9349.419, dw = -0.12214, nw = 1651 130613.0031.ec.fits: ap = 9, w1 = 9394.395, w2 = 9196.164, dw = -0.12014, nw = 1651 130613.0031.ec.fits: ap = 10, w1 = 9242.883, w2 = 9047.852, dw = -0.1182, nw = 1651 130613.0031.ec.fits: ap = 11, w1 = 9096.181, w2 = 8904.248, dw = -0.11632, nw = 1651 130613.0031.ec.fits: ap = 12, w1 = 8954.064, w2 = 8765.132, dw = -0.1145, nw = 1651 130613.0031.ec.fits: ap = 13, w1 = 8816.32, w2 = 8630.297, dw = -0.11274, nw = 1651 130613.0031.ec.fits: ap = 14, w1 = 8682.75, w2 = 8499.548, dw = -0.11103, nw = 1651 130613.0031.ec.fits: ap = 15, w1 = 8553.167, w2 = 8372.702, dw = -0.10937, nw = 1651 130613.0031.ec.fits: ap = 16, w1 = 8427.396, w2 = 8249.587, dw = -0.10776, nw = 1651 130613.0031.ec.fits: ap = 17, w1 = 8305.27, w2 = 8130.04, dw = -0.1062, nw = 1651 130613.0031.ec.fits: ap = 18, w1 = 8186.634, w2 = 8013.909, dw = -0.10468, nw = 1651 130613.0031.ec.fits: ap = 19, w1 = 8071.34, w2 = 7901.049, dw = -0.10321, nw = 1651 130613.0031.ec.fits: ap = 20, w1 = 7959.248, w2 = 7791.325, dw = -0.10177, nw = 1651 130613.0031.ec.fits: ap = 21, w1 = 7850.228, w2 = 7684.607, dw = -0.10038, nw = 1651 130613.0031.ec.fits: ap = 22, w1 = 7744.154, w2 = 7580.773, dw = -0.09902, nw = 1651 130613.0031.ec.fits: ap = 23, w1 = 7640.909, w2 = 7479.708, dw = -0.0977, nw = 1651 130613.0031.ec.fits: ap = 24, w1 = 7540.381, w2 = 7381.302, dw = -0.09641, nw = 1651 130613.0031.ec.fits: ap = 25, w1 = 7442.464, w2 = 7285.453, dw = -0.09516, nw = 1651 130613.0031.ec.fits: ap = 26, w1 = 7347.058, w2 = 7192.062, dw = -0.09394, nw = 1651 130613.0031.ec.fits: ap = 27, w1 = 7254.067, w2 = 7101.034, dw = -0.09275, nw = 1651 130613.0031.ec.fits: ap = 28, w1 = 7163.401, w2 = 7012.283, dw = -0.09159, nw = 1651 130613.0031.ec.fits: ap = 29, w1 = 7074.974, w2 = 6925.723, dw = -0.09045, nw = 1651 130613.0031.ec.fits: ap = 30, w1 = 6988.703, w2 = 6841.274, dw = -0.08935, nw = 1651 130613.0031.ec.fits: ap = 31, w1 = 6904.512, w2 = 6758.861, dw = -0.08827, nw = 1651 130613.0031.ec.fits: ap = 32, w1 = 6822.325, w2 = 6678.409, dw = -0.08722, nw = 1651 130613.0031.ec.fits: ap = 33, w1 = 6742.071, w2 = 6599.851, dw = -0.08619, nw = 1651 130613.0031.ec.fits: ap = 34, w1 = 6663.685, w2 = 6523.119, dw = -0.08519, nw = 1651 130613.0031.ec.fits: ap = 35, w1 = 6587.1, w2 = 6448.152, dw = -0.08421, nw = 1651 130613.0031.ec.fits: ap = 36, w1 = 6512.256, w2 = 6374.888, dw = -0.08325, nw = 1651 130613.0031.ec.fits: ap = 37, w1 = 6439.093, w2 = 6303.271, dw = -0.08232, nw = 1651 130613.0031.ec.fits: ap = 38, w1 = 6367.557, w2 = 6233.245, dw = -0.0814, nw = 1651 130613.0031.ec.fits: ap = 39, w1 = 6297.593, w2 = 6164.759, dw = -0.08051, nw = 1651 130613.0031.ec.fits: ap = 40, w1 = 6229.15, w2 = 6097.761, dw = -0.07963, nw = 1651 130613.0031.ec.fits: ap = 41, w1 = 6162.179, w2 = 6032.204, dw = -0.07877, nw = 1651 130613.0031.ec.fits: ap = 42, w1 = 6096.632, w2 = 5968.042, dw = -0.07793, nw = 1651 130613.0031.ec.fits: ap = 43, w1 = 6032.466, w2 = 5905.231, dw = -0.07711, nw = 1651 130613.0031.ec.fits: ap = 44, w1 = 5969.636, w2 = 5843.729, dw = -0.07631, nw = 1651 130613.0031.ec.fits: ap = 45, w1 = 5908.102, w2 = 5783.494, dw = -0.07552, nw = 1651 130613.0031.ec.fits: ap = 46, w1 = 5847.824, w2 = 5724.489, dw = -0.07475, nw = 1651 130613.0031.ec.fits: ap = 47, w1 = 5788.763, w2 = 5666.676, dw = -0.07399, nw = 1651 130613.0031.ec.fits: ap = 48, w1 = 5730.884, w2 = 5610.02, dw = -0.07325, nw = 1651 130613.0031.ec.fits: ap = 49, w1 = 5674.151, w2 = 5554.485, dw = -0.07252, nw = 1651 130613.0031.ec.fits: ap = 50, w1 = 5618.53, w2 = 5500.039, dw = -0.07181, nw = 1651 130613.0031.ec.fits: ap = 51, w1 = 5563.99, w2 = 5446.651, dw = -0.07111, nw = 1651 130613.0031.ec.fits: ap = 52, w1 = 5510.498, w2 = 5394.289, dw = -0.07043, nw = 1651 130613.0031.ec.fits: ap = 53, w1 = 5458.025, w2 = 5342.925, dw = -0.06976, nw = 1651 130613.0031.ec.fits: ap = 54, w1 = 5406.543, w2 = 5292.53, dw = -0.0691, nw = 1651 130613.0031.ec.fits: ap = 55, w1 = 5356.022, w2 = 5243.077, dw = -0.06845, nw = 1651 130613.0031.ec.fits: ap = 56, w1 = 5306.437, w2 = 5194.54, dw = -0.06782, nw = 1651 130613.0031.ec.fits: ap = 57, w1 = 5257.762, w2 = 5146.893, dw = -0.06719, nw = 1651 130613.0031.ec.fits: ap = 58, w1 = 5209.973, w2 = 5100.113, dw = -0.06658, nw = 1651 130613.0031.ec.fits: ap = 59, w1 = 5163.044, w2 = 5054.176, dw = -0.06598, nw = 1651 130613.0031.ec.fits: ap = 60, w1 = 5116.953, w2 = 5009.059, dw = -0.06539, nw = 1651 130613.0031.ec.fits: ap = 61, w1 = 5071.678, w2 = 4964.741, dw = -0.06481, nw = 1651 130613.0031.ec.fits: ap = 62, w1 = 5027.198, w2 = 4921.2, dw = -0.06424, nw = 1651 130613.0031.ec.fits: ap = 63, w1 = 4983.491, w2 = 4878.417, dw = -0.06368, nw = 1651 130613.0031.ec.fits: ap = 64, w1 = 4940.538, w2 = 4836.371, dw = -0.06313, nw = 1651 130613.0031.ec.fits: ap = 65, w1 = 4898.319, w2 = 4795.045, dw = -0.06259, nw = 1651 130613.0031.ec.fits: ap = 66, w1 = 4856.815, w2 = 4754.418, dw = -0.06206, nw = 1651 130613.0031.ec.fits: ap = 67, w1 = 4816.01, w2 = 4714.475, dw = -0.06154, nw = 1651 130613.0031.ec.fits: ap = 68, w1 = 4775.884, w2 = 4675.198, dw = -0.06102, nw = 1651 130613.0031.ec.fits: ap = 69, w1 = 4736.422, w2 = 4636.569, dw = -0.06052, nw = 1651 130613.0031.ec.fits: ap = 70, w1 = 4697.607, w2 = 4598.575, dw = -0.06002, nw = 1651 130613.0031.ec.fits: ap = 71, w1 = 4659.423, w2 = 4561.198, dw = -0.05953, nw = 1651 130613.0031.ec.fits: ap = 72, w1 = 4621.855, w2 = 4524.424, dw = -0.05905, nw = 1651 130613.0031.ec.fits: ap = 73, w1 = 4584.888, w2 = 4488.238, dw = -0.05858, nw = 1651 130613.0031.ec.fits: ap = 74, w1 = 4548.508, w2 = 4452.627, dw = -0.05811, nw = 1651 130613.0031.ec.fits: ap = 75, w1 = 4512.701, w2 = 4417.577, dw = -0.05765, nw = 1651 130613.0031.ec.fits: ap = 76, w1 = 4477.454, w2 = 4383.075, dw = -0.0572, nw = 1651 130613.0031.ec.fits: ap = 77, w1 = 4442.753, w2 = 4349.108, dw = -0.05675, nw = 1651 130613.0031.ec.fits: ap = 78, w1 = 4408.587, w2 = 4315.663, dw = -0.05632, nw = 1651 130613.0031.ec.fits: ap = 79, w1 = 4374.942, w2 = 4282.73, dw = -0.05589, nw = 1651 130613.0031.ec.fits: ap = 80, w1 = 4341.807, w2 = 4250.295, dw = -0.05546, nw = 1651 130613.0031.ec.fits: ap = 81, w1 = 4309.17, w2 = 4218.348, dw = -0.05504, nw = 1651 130613.0031.ec.fits: ap = 82, w1 = 4277.02, w2 = 4186.878, dw = -0.05463, nw = 1651 130613.0031.ec.fits: ap = 83, w1 = 4245.348, w2 = 4155.875, dw = -0.05423, nw = 1651 130613.0031.ec.fits: ap = 84, w1 = 4214.141, w2 = 4125.328, dw = -0.05383, nw = 1651 130613.0031.ec.fits: ap = 85, w1 = 4183.389, w2 = 4095.226, dw = -0.05343, nw = 1651 130613.0031.ec.fits: ap = 86, w1 = 4153.084, w2 = 4065.561, dw = -0.05304, nw = 1651 130613.0031.ec.fits: ap = 87, w1 = 4123.215, w2 = 4036.324, dw = -0.05266, nw = 1651 130613.0031.ec.fits: ap = 88, w1 = 4093.772, w2 = 4007.504, dw = -0.05228, nw = 1651 130613.0031.ec.fits: ap = 89, w1 = 4064.748, w2 = 3979.093, dw = -0.05191, nw = 1651 130613.0031.ec.fits: ap = 90, w1 = 4036.132, w2 = 3951.082, dw = -0.05155, nw = 1651 130613.0031.ec.fits: ap = 91, w1 = 4007.917, w2 = 3923.463, dw = -0.05118, nw = 1651 130613.0031.ec.fits: ap = 92, w1 = 3980.094, w2 = 3896.228, dw = -0.05083, nw = 1651 130613.0031.ec.fits: ap = 93, w1 = 3952.655, w2 = 3869.369, dw = -0.05048, nw = 1651 130613.0031.ec.fits: ap = 94, w1 = 3925.592, w2 = 3842.878, dw = -0.05013, nw = 1651 130613.0031.ec.fits: ap = 95, w1 = 3898.898, w2 = 3816.748, dw = -0.04979, nw = 1651 130613.0031.ec.fits: ap = 96, w1 = 3872.564, w2 = 3790.97, dw = -0.04945, nw = 1651 130613.0031.ec.fits: ap = 97, w1 = 3846.584, w2 = 3765.54, dw = -0.04912, nw = 1651 130613.0031.ec.fits: ap = 98, w1 = 3820.951, w2 = 3740.448, dw = -0.04879, nw = 1651 130613.0031.ec.fits: ap = 99, w1 = 3795.657, w2 = 3715.689, dw = -0.04847, nw = 1651 130613.0031.ec.fits: ap = 100, w1 = 3770.697, w2 = 3691.256, dw = -0.04815, nw = 1651 130613.0031.ec.fits: ap = 101, w1 = 3746.063, w2 = 3667.142, dw = -0.04783, nw = 1651 130613.0031.ec.fits: ap = 102, w1 = 3721.749, w2 = 3643.342, dw = -0.04752, nw = 1651 130613.0031.ec.fits: ap = 103, w1 = 3697.75, w2 = 3619.849, dw = -0.04721, nw = 1651 130613.0031.ec.fits: ap = 104, w1 = 3674.058, w2 = 3596.658, dw = -0.04691, nw = 1651 130613.0031.ec.fits: ap = 105, w1 = 3650.668, w2 = 3573.762, dw = -0.04661, nw = 1651 130613.0031.ec.fits: ap = 106, w1 = 3627.575, w2 = 3551.157, dw = -0.04631, nw = 1651 130613.0031.ec.fits: ap = 107, w1 = 3604.773, w2 = 3528.836, dw = -0.04602, nw = 1651 130613.0031.ec.fits: ap = 108, w1 = 3582.256, w2 = 3506.794, dw = -0.04573, nw = 1651 130613.0031.ec.fits: ap = 109, w1 = 3560.018, w2 = 3485.026, dw = -0.04545, nw = 1651 130613.0031.ec.fits: ap = 110, w1 = 3538.056, w2 = 3463.528, dw = -0.04517, nw = 1651 130613.0031.ec.fits: ap = 111, w1 = 3516.364, w2 = 3442.293, dw = -0.04489, nw = 1651 130613.0031.ec.fits: ap = 112, w1 = 3494.936, w2 = 3421.318, dw = -0.04462, nw = 1651 130613.0031.ec.fits: ap = 113, w1 = 3473.769, w2 = 3400.597, dw = -0.04435, nw = 1651 130613.0031.ec.fits: ap = 114, w1 = 3452.857, w2 = 3380.126, dw = -0.04408, nw = 1651 130613.0031.ec.fits: ap = 115, w1 = 3432.195, w2 = 3359.9, dw = -0.04382, nw = 1651 130613.0032.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' 130613.0032.ec.fits: ap = 1, w1 = 10812.33, w2 = 10584.15, dw = -0.13829, nw = 1651 130613.0032.ec.fits: ap = 2, w1 = 10612.11, w2 = 10388.16, dw = -0.13573, nw = 1651 130613.0032.ec.fits: ap = 3, w1 = 10419.17, w2 = 10199.29, dw = -0.13326, nw = 1651 130613.0032.ec.fits: ap = 4, w1 = 10233.12, w2 = 10017.18, dw = -0.13088, nw = 1651 130613.0032.ec.fits: ap = 5, w1 = 10053.61, w2 = 9841.452, dw = -0.12858, nw = 1651 130613.0032.ec.fits: ap = 6, w1 = 9880.279, w2 = 9671.786, dw = -0.12636, nw = 1651 130613.0032.ec.fits: ap = 7, w1 = 9712.827, w2 = 9507.871, dw = -0.12422, nw = 1651 130613.0032.ec.fits: ap = 8, w1 = 9550.957, w2 = 9349.419, dw = -0.12214, nw = 1651 130613.0032.ec.fits: ap = 9, w1 = 9394.395, w2 = 9196.164, dw = -0.12014, nw = 1651 130613.0032.ec.fits: ap = 10, w1 = 9242.883, w2 = 9047.852, dw = -0.1182, nw = 1651 130613.0032.ec.fits: ap = 11, w1 = 9096.181, w2 = 8904.248, dw = -0.11632, nw = 1651 130613.0032.ec.fits: ap = 12, w1 = 8954.064, w2 = 8765.132, dw = -0.1145, nw = 1651 130613.0032.ec.fits: ap = 13, w1 = 8816.32, w2 = 8630.297, dw = -0.11274, nw = 1651 130613.0032.ec.fits: ap = 14, w1 = 8682.75, w2 = 8499.548, dw = -0.11103, nw = 1651 130613.0032.ec.fits: ap = 15, w1 = 8553.167, w2 = 8372.702, dw = -0.10937, nw = 1651 130613.0032.ec.fits: ap = 16, w1 = 8427.396, w2 = 8249.587, dw = -0.10776, nw = 1651 130613.0032.ec.fits: ap = 17, w1 = 8305.27, w2 = 8130.04, dw = -0.1062, nw = 1651 130613.0032.ec.fits: ap = 18, w1 = 8186.634, w2 = 8013.909, dw = -0.10468, nw = 1651 130613.0032.ec.fits: ap = 19, w1 = 8071.34, w2 = 7901.049, dw = -0.10321, nw = 1651 130613.0032.ec.fits: ap = 20, w1 = 7959.248, w2 = 7791.325, dw = -0.10177, nw = 1651 130613.0032.ec.fits: ap = 21, w1 = 7850.228, w2 = 7684.607, dw = -0.10038, nw = 1651 130613.0032.ec.fits: ap = 22, w1 = 7744.154, w2 = 7580.773, dw = -0.09902, nw = 1651 130613.0032.ec.fits: ap = 23, w1 = 7640.909, w2 = 7479.708, dw = -0.0977, nw = 1651 130613.0032.ec.fits: ap = 24, w1 = 7540.381, w2 = 7381.302, dw = -0.09641, nw = 1651 130613.0032.ec.fits: ap = 25, w1 = 7442.464, w2 = 7285.453, dw = -0.09516, nw = 1651 130613.0032.ec.fits: ap = 26, w1 = 7347.058, w2 = 7192.062, dw = -0.09394, nw = 1651 130613.0032.ec.fits: ap = 27, w1 = 7254.067, w2 = 7101.034, dw = -0.09275, nw = 1651 130613.0032.ec.fits: ap = 28, w1 = 7163.401, w2 = 7012.283, dw = -0.09159, nw = 1651 130613.0032.ec.fits: ap = 29, w1 = 7074.974, w2 = 6925.723, dw = -0.09045, nw = 1651 130613.0032.ec.fits: ap = 30, w1 = 6988.703, w2 = 6841.274, dw = -0.08935, nw = 1651 130613.0032.ec.fits: ap = 31, w1 = 6904.512, w2 = 6758.861, dw = -0.08827, nw = 1651 130613.0032.ec.fits: ap = 32, w1 = 6822.325, w2 = 6678.409, dw = -0.08722, nw = 1651 130613.0032.ec.fits: ap = 33, w1 = 6742.071, w2 = 6599.851, dw = -0.08619, nw = 1651 130613.0032.ec.fits: ap = 34, w1 = 6663.685, w2 = 6523.119, dw = -0.08519, nw = 1651 130613.0032.ec.fits: ap = 35, w1 = 6587.1, w2 = 6448.152, dw = -0.08421, nw = 1651 130613.0032.ec.fits: ap = 36, w1 = 6512.256, w2 = 6374.888, dw = -0.08325, nw = 1651 130613.0032.ec.fits: ap = 37, w1 = 6439.093, w2 = 6303.271, dw = -0.08232, nw = 1651 130613.0032.ec.fits: ap = 38, w1 = 6367.557, w2 = 6233.245, dw = -0.0814, nw = 1651 130613.0032.ec.fits: ap = 39, w1 = 6297.593, w2 = 6164.759, dw = -0.08051, nw = 1651 130613.0032.ec.fits: ap = 40, w1 = 6229.15, w2 = 6097.761, dw = -0.07963, nw = 1651 130613.0032.ec.fits: ap = 41, w1 = 6162.179, w2 = 6032.204, dw = -0.07877, nw = 1651 130613.0032.ec.fits: ap = 42, w1 = 6096.632, w2 = 5968.042, dw = -0.07793, nw = 1651 130613.0032.ec.fits: ap = 43, w1 = 6032.466, w2 = 5905.231, dw = -0.07711, nw = 1651 130613.0032.ec.fits: ap = 44, w1 = 5969.636, w2 = 5843.729, dw = -0.07631, nw = 1651 130613.0032.ec.fits: ap = 45, w1 = 5908.102, w2 = 5783.494, dw = -0.07552, nw = 1651 130613.0032.ec.fits: ap = 46, w1 = 5847.824, w2 = 5724.489, dw = -0.07475, nw = 1651 130613.0032.ec.fits: ap = 47, w1 = 5788.763, w2 = 5666.676, dw = -0.07399, nw = 1651 130613.0032.ec.fits: ap = 48, w1 = 5730.884, w2 = 5610.02, dw = -0.07325, nw = 1651 130613.0032.ec.fits: ap = 49, w1 = 5674.151, w2 = 5554.485, dw = -0.07252, nw = 1651 130613.0032.ec.fits: ap = 50, w1 = 5618.53, w2 = 5500.039, dw = -0.07181, nw = 1651 130613.0032.ec.fits: ap = 51, w1 = 5563.99, w2 = 5446.651, dw = -0.07111, nw = 1651 130613.0032.ec.fits: ap = 52, w1 = 5510.498, w2 = 5394.289, dw = -0.07043, nw = 1651 130613.0032.ec.fits: ap = 53, w1 = 5458.025, w2 = 5342.925, dw = -0.06976, nw = 1651 130613.0032.ec.fits: ap = 54, w1 = 5406.543, w2 = 5292.53, dw = -0.0691, nw = 1651 130613.0032.ec.fits: ap = 55, w1 = 5356.022, w2 = 5243.077, dw = -0.06845, nw = 1651 130613.0032.ec.fits: ap = 56, w1 = 5306.437, w2 = 5194.54, dw = -0.06782, nw = 1651 130613.0032.ec.fits: ap = 57, w1 = 5257.762, w2 = 5146.893, dw = -0.06719, nw = 1651 130613.0032.ec.fits: ap = 58, w1 = 5209.973, w2 = 5100.113, dw = -0.06658, nw = 1651 130613.0032.ec.fits: ap = 59, w1 = 5163.044, w2 = 5054.176, dw = -0.06598, nw = 1651 130613.0032.ec.fits: ap = 60, w1 = 5116.953, w2 = 5009.059, dw = -0.06539, nw = 1651 130613.0032.ec.fits: ap = 61, w1 = 5071.678, w2 = 4964.741, dw = -0.06481, nw = 1651 130613.0032.ec.fits: ap = 62, w1 = 5027.198, w2 = 4921.2, dw = -0.06424, nw = 1651 130613.0032.ec.fits: ap = 63, w1 = 4983.491, w2 = 4878.417, dw = -0.06368, nw = 1651 130613.0032.ec.fits: ap = 64, w1 = 4940.538, w2 = 4836.371, dw = -0.06313, nw = 1651 130613.0032.ec.fits: ap = 65, w1 = 4898.319, w2 = 4795.045, dw = -0.06259, nw = 1651 130613.0032.ec.fits: ap = 66, w1 = 4856.815, w2 = 4754.418, dw = -0.06206, nw = 1651 130613.0032.ec.fits: ap = 67, w1 = 4816.01, w2 = 4714.475, dw = -0.06154, nw = 1651 130613.0032.ec.fits: ap = 68, w1 = 4775.884, w2 = 4675.198, dw = -0.06102, nw = 1651 130613.0032.ec.fits: ap = 69, w1 = 4736.422, w2 = 4636.569, dw = -0.06052, nw = 1651 130613.0032.ec.fits: ap = 70, w1 = 4697.607, w2 = 4598.575, dw = -0.06002, nw = 1651 130613.0032.ec.fits: ap = 71, w1 = 4659.423, w2 = 4561.198, dw = -0.05953, nw = 1651 130613.0032.ec.fits: ap = 72, w1 = 4621.855, w2 = 4524.424, dw = -0.05905, nw = 1651 130613.0032.ec.fits: ap = 73, w1 = 4584.888, w2 = 4488.238, dw = -0.05858, nw = 1651 130613.0032.ec.fits: ap = 74, w1 = 4548.508, w2 = 4452.627, dw = -0.05811, nw = 1651 130613.0032.ec.fits: ap = 75, w1 = 4512.701, w2 = 4417.577, dw = -0.05765, nw = 1651 130613.0032.ec.fits: ap = 76, w1 = 4477.454, w2 = 4383.075, dw = -0.0572, nw = 1651 130613.0032.ec.fits: ap = 77, w1 = 4442.753, w2 = 4349.108, dw = -0.05675, nw = 1651 130613.0032.ec.fits: ap = 78, w1 = 4408.587, w2 = 4315.663, dw = -0.05632, nw = 1651 130613.0032.ec.fits: ap = 79, w1 = 4374.942, w2 = 4282.73, dw = -0.05589, nw = 1651 130613.0032.ec.fits: ap = 80, w1 = 4341.807, w2 = 4250.295, dw = -0.05546, nw = 1651 130613.0032.ec.fits: ap = 81, w1 = 4309.17, w2 = 4218.348, dw = -0.05504, nw = 1651 130613.0032.ec.fits: ap = 82, w1 = 4277.02, w2 = 4186.878, dw = -0.05463, nw = 1651 130613.0032.ec.fits: ap = 83, w1 = 4245.348, w2 = 4155.875, dw = -0.05423, nw = 1651 130613.0032.ec.fits: ap = 84, w1 = 4214.141, w2 = 4125.328, dw = -0.05383, nw = 1651 130613.0032.ec.fits: ap = 85, w1 = 4183.389, w2 = 4095.226, dw = -0.05343, nw = 1651 130613.0032.ec.fits: ap = 86, w1 = 4153.084, w2 = 4065.561, dw = -0.05304, nw = 1651 130613.0032.ec.fits: ap = 87, w1 = 4123.215, w2 = 4036.324, dw = -0.05266, nw = 1651 130613.0032.ec.fits: ap = 88, w1 = 4093.772, w2 = 4007.504, dw = -0.05228, nw = 1651 130613.0032.ec.fits: ap = 89, w1 = 4064.748, w2 = 3979.093, dw = -0.05191, nw = 1651 130613.0032.ec.fits: ap = 90, w1 = 4036.132, w2 = 3951.082, dw = -0.05155, nw = 1651 130613.0032.ec.fits: ap = 91, w1 = 4007.917, w2 = 3923.463, dw = -0.05118, nw = 1651 130613.0032.ec.fits: ap = 92, w1 = 3980.094, w2 = 3896.228, dw = -0.05083, nw = 1651 130613.0032.ec.fits: ap = 93, w1 = 3952.655, w2 = 3869.369, dw = -0.05048, nw = 1651 130613.0032.ec.fits: ap = 94, w1 = 3925.592, w2 = 3842.878, dw = -0.05013, nw = 1651 130613.0032.ec.fits: ap = 95, w1 = 3898.898, w2 = 3816.748, dw = -0.04979, nw = 1651 130613.0032.ec.fits: ap = 96, w1 = 3872.564, w2 = 3790.97, dw = -0.04945, nw = 1651 130613.0032.ec.fits: ap = 97, w1 = 3846.584, w2 = 3765.54, dw = -0.04912, nw = 1651 130613.0032.ec.fits: ap = 98, w1 = 3820.951, w2 = 3740.448, dw = -0.04879, nw = 1651 130613.0032.ec.fits: ap = 99, w1 = 3795.657, w2 = 3715.689, dw = -0.04847, nw = 1651 130613.0032.ec.fits: ap = 100, w1 = 3770.697, w2 = 3691.256, dw = -0.04815, nw = 1651 130613.0032.ec.fits: ap = 101, w1 = 3746.063, w2 = 3667.142, dw = -0.04783, nw = 1651 130613.0032.ec.fits: ap = 102, w1 = 3721.749, w2 = 3643.342, dw = -0.04752, nw = 1651 130613.0032.ec.fits: ap = 103, w1 = 3697.75, w2 = 3619.849, dw = -0.04721, nw = 1651 130613.0032.ec.fits: ap = 104, w1 = 3674.058, w2 = 3596.658, dw = -0.04691, nw = 1651 130613.0032.ec.fits: ap = 105, w1 = 3650.668, w2 = 3573.762, dw = -0.04661, nw = 1651 130613.0032.ec.fits: ap = 106, w1 = 3627.575, w2 = 3551.157, dw = -0.04631, nw = 1651 130613.0032.ec.fits: ap = 107, w1 = 3604.773, w2 = 3528.836, dw = -0.04602, nw = 1651 130613.0032.ec.fits: ap = 108, w1 = 3582.256, w2 = 3506.794, dw = -0.04573, nw = 1651 130613.0032.ec.fits: ap = 109, w1 = 3560.018, w2 = 3485.026, dw = -0.04545, nw = 1651 130613.0032.ec.fits: ap = 110, w1 = 3538.056, w2 = 3463.528, dw = -0.04517, nw = 1651 130613.0032.ec.fits: ap = 111, w1 = 3516.364, w2 = 3442.293, dw = -0.04489, nw = 1651 130613.0032.ec.fits: ap = 112, w1 = 3494.936, w2 = 3421.318, dw = -0.04462, nw = 1651 130613.0032.ec.fits: ap = 113, w1 = 3473.769, w2 = 3400.597, dw = -0.04435, nw = 1651 130613.0032.ec.fits: ap = 114, w1 = 3452.857, w2 = 3380.126, dw = -0.04408, nw = 1651 130613.0032.ec.fits: ap = 115, w1 = 3432.195, w2 = 3359.9, dw = -0.04382, nw = 1651 EchelleThAr.0017.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' zEchelleThAr.0017.ec.fits: ap = 1, w1 = 10812.13, w2 = 10584.12, dw = -0.13819, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 2, w1 = 10611.94, w2 = 10388.13, dw = -0.13564, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 3, w1 = 10419.04, w2 = 10199.28, dw = -0.13319, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 4, w1 = 10233.01, w2 = 10017.17, dw = -0.13082, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 5, w1 = 10053.52, w2 = 9841.443, dw = -0.12853, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 6, w1 = 9880.211, w2 = 9671.78, dw = -0.12632, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 7, w1 = 9712.777, w2 = 9507.869, dw = -0.12419, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 8, w1 = 9550.922, w2 = 9349.42, dw = -0.12212, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 9, w1 = 9394.372, w2 = 9196.167, dw = -0.12012, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 10, w1 = 9242.872, w2 = 9047.857, dw = -0.11819, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 11, w1 = 9096.179, w2 = 8904.255, dw = -0.11632, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 12, w1 = 8954.069, w2 = 8765.141, dw = -0.1145, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 13, w1 = 8816.331, w2 = 8630.307, dw = -0.11274, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 14, w1 = 8682.766, w2 = 8499.559, dw = -0.11103, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 15, w1 = 8553.187, w2 = 8372.714, dw = -0.10938, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 16, w1 = 8427.419, w2 = 8249.599, dw = -0.10777, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 17, w1 = 8305.295, w2 = 8130.053, dw = -0.10621, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 18, w1 = 8186.66, w2 = 8013.922, dw = -0.10469, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 19, w1 = 8071.366, w2 = 7901.063, dw = -0.10321, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 20, w1 = 7959.274, w2 = 7791.339, dw = -0.10178, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 21, w1 = 7850.252, w2 = 7684.62, dw = -0.10038, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 22, w1 = 7744.177, w2 = 7580.786, dw = -0.09902, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 23, w1 = 7640.93, w2 = 7479.721, dw = -0.0977, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 24, w1 = 7540.399, w2 = 7381.316, dw = -0.09641, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 25, w1 = 7442.48, w2 = 7285.466, dw = -0.09516, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 26, w1 = 7347.071, w2 = 7192.074, dw = -0.09394, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 27, w1 = 7254.077, w2 = 7101.047, dw = -0.09275, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 28, w1 = 7163.408, w2 = 7012.295, dw = -0.09158, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 29, w1 = 7074.977, w2 = 6925.734, dw = -0.09045, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 30, w1 = 6988.703, w2 = 6841.285, dw = -0.08934, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 31, w1 = 6904.508, w2 = 6758.871, dw = -0.08827, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 32, w1 = 6822.318, w2 = 6678.419, dw = -0.08721, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 33, w1 = 6742.062, w2 = 6599.86, dw = -0.08618, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 34, w1 = 6663.672, w2 = 6523.128, dw = -0.08518, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 35, w1 = 6587.084, w2 = 6448.16, dw = -0.0842, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 36, w1 = 6512.236, w2 = 6374.896, dw = -0.08324, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 37, w1 = 6439.071, w2 = 6303.278, dw = -0.0823, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 38, w1 = 6367.532, w2 = 6233.252, dw = -0.08138, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 39, w1 = 6297.565, w2 = 6164.765, dw = -0.08049, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 40, w1 = 6229.12, w2 = 6097.766, dw = -0.07961, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 41, w1 = 6162.146, w2 = 6032.209, dw = -0.07875, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 42, w1 = 6096.598, w2 = 5968.047, dw = -0.07791, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 43, w1 = 6032.43, w2 = 5905.235, dw = -0.07709, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 44, w1 = 5969.599, w2 = 5843.732, dw = -0.07628, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 45, w1 = 5908.063, w2 = 5783.497, dw = -0.07549, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 46, w1 = 5847.784, w2 = 5724.492, dw = -0.07472, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 47, w1 = 5788.722, w2 = 5666.679, dw = -0.07397, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 48, w1 = 5730.842, w2 = 5610.022, dw = -0.07322, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 49, w1 = 5674.109, w2 = 5554.487, dw = -0.0725, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 50, w1 = 5618.488, w2 = 5500.041, dw = -0.07179, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 51, w1 = 5563.947, w2 = 5446.652, dw = -0.07109, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 52, w1 = 5510.455, w2 = 5394.29, dw = -0.0704, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 53, w1 = 5457.983, w2 = 5342.925, dw = -0.06973, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 54, w1 = 5406.501, w2 = 5292.53, dw = -0.06907, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 55, w1 = 5355.981, w2 = 5243.077, dw = -0.06843, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 56, w1 = 5306.397, w2 = 5194.54, dw = -0.06779, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 57, w1 = 5257.723, w2 = 5146.893, dw = -0.06717, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 58, w1 = 5209.935, w2 = 5100.113, dw = -0.06656, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 59, w1 = 5163.007, w2 = 5054.175, dw = -0.06596, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 60, w1 = 5116.918, w2 = 5009.058, dw = -0.06537, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 61, w1 = 5071.645, w2 = 4964.74, dw = -0.06479, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 62, w1 = 5027.166, w2 = 4921.2, dw = -0.06422, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 63, w1 = 4983.461, w2 = 4878.416, dw = -0.06366, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 64, w1 = 4940.51, w2 = 4836.371, dw = -0.06311, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 65, w1 = 4898.293, w2 = 4795.044, dw = -0.06258, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 66, w1 = 4856.792, w2 = 4754.418, dw = -0.06204, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 67, w1 = 4815.988, w2 = 4714.474, dw = -0.06152, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 68, w1 = 4775.865, w2 = 4675.197, dw = -0.06101, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 69, w1 = 4736.405, w2 = 4636.569, dw = -0.06051, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 70, w1 = 4697.592, w2 = 4598.574, dw = -0.06001, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 71, w1 = 4659.41, w2 = 4561.197, dw = -0.05952, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 72, w1 = 4621.844, w2 = 4524.423, dw = -0.05904, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 73, w1 = 4584.88, w2 = 4488.237, dw = -0.05857, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 74, w1 = 4548.502, w2 = 4452.626, dw = -0.05811, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 75, w1 = 4512.697, w2 = 4417.576, dw = -0.05765, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 76, w1 = 4477.452, w2 = 4383.074, dw = -0.0572, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 77, w1 = 4442.753, w2 = 4349.106, dw = -0.05676, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 78, w1 = 4408.587, w2 = 4315.662, dw = -0.05632, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 79, w1 = 4374.944, w2 = 4282.728, dw = -0.05589, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 80, w1 = 4341.81, w2 = 4250.293, dw = -0.05546, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 81, w1 = 4309.174, w2 = 4218.346, dw = -0.05505, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 82, w1 = 4277.026, w2 = 4186.876, dw = -0.05464, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 83, w1 = 4245.353, w2 = 4155.872, dw = -0.05423, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 84, w1 = 4214.146, w2 = 4125.324, dw = -0.05383, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 85, w1 = 4183.395, w2 = 4095.223, dw = -0.05344, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 86, w1 = 4153.089, w2 = 4065.557, dw = -0.05305, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 87, w1 = 4123.219, w2 = 4036.319, dw = -0.05267, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 88, w1 = 4093.776, w2 = 4007.498, dw = -0.05229, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 89, w1 = 4064.75, w2 = 3979.087, dw = -0.05192, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 90, w1 = 4036.132, w2 = 3951.075, dw = -0.05155, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 91, w1 = 4007.915, w2 = 3923.456, dw = -0.05119, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 92, w1 = 3980.089, w2 = 3896.22, dw = -0.05083, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 93, w1 = 3952.646, w2 = 3869.36, dw = -0.05048, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 94, w1 = 3925.579, w2 = 3842.868, dw = -0.05013, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 95, w1 = 3898.881, w2 = 3816.736, dw = -0.04978, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 96, w1 = 3872.542, w2 = 3790.958, dw = -0.04944, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 97, w1 = 3846.557, w2 = 3765.526, dw = -0.04911, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 98, w1 = 3820.917, w2 = 3740.433, dw = -0.04878, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 99, w1 = 3795.617, w2 = 3715.672, dw = -0.04845, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 100, w1 = 3770.649, w2 = 3691.237, dw = -0.04813, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 101, w1 = 3746.007, w2 = 3667.122, dw = -0.04781, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 102, w1 = 3721.685, w2 = 3643.321, dw = -0.04749, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 103, w1 = 3697.675, w2 = 3619.826, dw = -0.04718, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 104, w1 = 3673.973, w2 = 3596.633, dw = -0.04687, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 105, w1 = 3650.572, w2 = 3573.735, dw = -0.04657, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 106, w1 = 3627.467, w2 = 3551.127, dw = -0.04627, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 107, w1 = 3604.652, w2 = 3528.804, dw = -0.04597, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 108, w1 = 3582.121, w2 = 3506.759, dw = -0.04567, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 109, w1 = 3559.87, w2 = 3484.989, dw = -0.04538, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 110, w1 = 3537.892, w2 = 3463.488, dw = -0.04509, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 111, w1 = 3516.183, w2 = 3442.25, dw = -0.04481, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 112, w1 = 3494.738, w2 = 3421.272, dw = -0.04453, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 113, w1 = 3473.552, w2 = 3400.547, dw = -0.04425, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 114, w1 = 3452.621, w2 = 3380.073, dw = -0.04397, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 115, w1 = 3431.939, w2 = 3359.844, dw = -0.04369, nw = 1651 EchelleThAr.0018.ec.fits: REFSPEC1 = 'EchelleThAr.0018.ec 1.' zEchelleThAr.0018.ec.fits: ap = 1, w1 = 10812.26, w2 = 10584.14, dw = -0.13826, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 2, w1 = 10612.06, w2 = 10388.15, dw = -0.1357, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 3, w1 = 10419.13, w2 = 10199.29, dw = -0.13324, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 4, w1 = 10233.09, w2 = 10017.17, dw = -0.13086, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 5, w1 = 10053.58, w2 = 9841.447, dw = -0.12856, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 6, w1 = 9880.256, w2 = 9671.781, dw = -0.12635, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 7, w1 = 9712.81, w2 = 9507.867, dw = -0.12421, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 8, w1 = 9550.945, w2 = 9349.416, dw = -0.12214, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 9, w1 = 9394.386, w2 = 9196.161, dw = -0.12014, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 10, w1 = 9242.878, w2 = 9047.85, dw = -0.1182, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 11, w1 = 9096.179, w2 = 8904.247, dw = -0.11632, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 12, w1 = 8954.065, w2 = 8765.132, dw = -0.1145, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 13, w1 = 8816.323, w2 = 8630.297, dw = -0.11274, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 14, w1 = 8682.755, w2 = 8499.549, dw = -0.11103, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 15, w1 = 8553.174, w2 = 8372.703, dw = -0.10938, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 16, w1 = 8427.403, w2 = 8249.588, dw = -0.10777, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 17, w1 = 8305.279, w2 = 8130.042, dw = -0.1062, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 18, w1 = 8186.643, w2 = 8013.912, dw = -0.10469, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 19, w1 = 8071.349, w2 = 7901.053, dw = -0.10321, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 20, w1 = 7959.258, w2 = 7791.329, dw = -0.10178, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 21, w1 = 7850.238, w2 = 7684.611, dw = -0.10038, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 22, w1 = 7744.164, w2 = 7580.777, dw = -0.09902, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 23, w1 = 7640.919, w2 = 7479.713, dw = -0.0977, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 24, w1 = 7540.39, w2 = 7381.308, dw = -0.09641, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 25, w1 = 7442.473, w2 = 7285.459, dw = -0.09516, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 26, w1 = 7347.067, w2 = 7192.068, dw = -0.09394, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 27, w1 = 7254.075, w2 = 7101.041, dw = -0.09275, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 28, w1 = 7163.409, w2 = 7012.29, dw = -0.09159, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 29, w1 = 7074.981, w2 = 6925.73, dw = -0.09045, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 30, w1 = 6988.71, w2 = 6841.282, dw = -0.08935, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 31, w1 = 6904.518, w2 = 6758.868, dw = -0.08827, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 32, w1 = 6822.33, w2 = 6678.417, dw = -0.08722, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 33, w1 = 6742.077, w2 = 6599.859, dw = -0.08619, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 34, w1 = 6663.69, w2 = 6523.128, dw = -0.08519, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 35, w1 = 6587.104, w2 = 6448.16, dw = -0.08421, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 36, w1 = 6512.26, w2 = 6374.897, dw = -0.08325, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 37, w1 = 6439.097, w2 = 6303.28, dw = -0.08231, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 38, w1 = 6367.56, w2 = 6233.254, dw = -0.0814, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 39, w1 = 6297.596, w2 = 6164.768, dw = -0.0805, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 40, w1 = 6229.152, w2 = 6097.77, dw = -0.07963, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 41, w1 = 6162.181, w2 = 6032.213, dw = -0.07877, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 42, w1 = 6096.634, w2 = 5968.052, dw = -0.07793, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 43, w1 = 6032.468, w2 = 5905.24, dw = -0.07711, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 44, w1 = 5969.638, w2 = 5843.738, dw = -0.0763, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 45, w1 = 5908.104, w2 = 5783.503, dw = -0.07552, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 46, w1 = 5847.826, w2 = 5724.498, dw = -0.07474, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 47, w1 = 5788.766, w2 = 5666.685, dw = -0.07399, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 48, w1 = 5730.886, w2 = 5610.029, dw = -0.07325, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 49, w1 = 5674.153, w2 = 5554.494, dw = -0.07252, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 50, w1 = 5618.533, w2 = 5500.048, dw = -0.07181, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 51, w1 = 5563.993, w2 = 5446.659, dw = -0.07111, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 52, w1 = 5510.501, w2 = 5394.298, dw = -0.07043, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 53, w1 = 5458.029, w2 = 5342.933, dw = -0.06975, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 54, w1 = 5406.546, w2 = 5292.538, dw = -0.0691, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 55, w1 = 5356.026, w2 = 5243.085, dw = -0.06845, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 56, w1 = 5306.442, w2 = 5194.547, dw = -0.06781, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 57, w1 = 5257.768, w2 = 5146.901, dw = -0.06719, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 58, w1 = 5209.978, w2 = 5100.12, dw = -0.06658, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 59, w1 = 5163.05, w2 = 5054.183, dw = -0.06598, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 60, w1 = 5116.96, w2 = 5009.066, dw = -0.06539, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 61, w1 = 5071.685, w2 = 4964.747, dw = -0.06481, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 62, w1 = 5027.205, w2 = 4921.207, dw = -0.06424, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 63, w1 = 4983.499, w2 = 4878.423, dw = -0.06368, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 64, w1 = 4940.546, w2 = 4836.377, dw = -0.06313, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 65, w1 = 4898.327, w2 = 4795.05, dw = -0.06259, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 66, w1 = 4856.825, w2 = 4754.424, dw = -0.06206, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 67, w1 = 4816.019, w2 = 4714.48, dw = -0.06154, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 68, w1 = 4775.894, w2 = 4675.202, dw = -0.06103, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 69, w1 = 4736.432, w2 = 4636.574, dw = -0.06052, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 70, w1 = 4697.617, w2 = 4598.579, dw = -0.06002, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 71, w1 = 4659.434, w2 = 4561.201, dw = -0.05953, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 72, w1 = 4621.866, w2 = 4524.427, dw = -0.05905, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 73, w1 = 4584.899, w2 = 4488.241, dw = -0.05858, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 74, w1 = 4548.519, w2 = 4452.63, dw = -0.05811, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 75, w1 = 4512.712, w2 = 4417.58, dw = -0.05766, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 76, w1 = 4477.465, w2 = 4383.077, dw = -0.0572, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 77, w1 = 4442.764, w2 = 4349.11, dw = -0.05676, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 78, w1 = 4408.596, w2 = 4315.665, dw = -0.05632, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 79, w1 = 4374.951, w2 = 4282.731, dw = -0.05589, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 80, w1 = 4341.815, w2 = 4250.296, dw = -0.05547, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 81, w1 = 4309.178, w2 = 4218.349, dw = -0.05505, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 82, w1 = 4277.027, w2 = 4186.878, dw = -0.05464, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 83, w1 = 4245.353, w2 = 4155.875, dw = -0.05423, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 84, w1 = 4214.145, w2 = 4125.327, dw = -0.05383, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 85, w1 = 4183.393, w2 = 4095.225, dw = -0.05343, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 86, w1 = 4153.086, w2 = 4065.56, dw = -0.05305, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 87, w1 = 4123.215, w2 = 4036.322, dw = -0.05266, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 88, w1 = 4093.77, w2 = 4007.502, dw = -0.05228, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 89, w1 = 4064.744, w2 = 3979.09, dw = -0.05191, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 90, w1 = 4036.126, w2 = 3951.079, dw = -0.05154, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 91, w1 = 4007.908, w2 = 3923.46, dw = -0.05118, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 92, w1 = 3980.082, w2 = 3896.225, dw = -0.05082, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 93, w1 = 3952.64, w2 = 3869.366, dw = -0.05047, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 94, w1 = 3925.574, w2 = 3842.874, dw = -0.05012, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 95, w1 = 3898.876, w2 = 3816.744, dw = -0.04978, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 96, w1 = 3872.539, w2 = 3790.966, dw = -0.04944, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 97, w1 = 3846.555, w2 = 3765.535, dw = -0.0491, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 98, w1 = 3820.917, w2 = 3740.443, dw = -0.04877, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 99, w1 = 3795.619, w2 = 3715.684, dw = -0.04845, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 100, w1 = 3770.654, w2 = 3691.251, dw = -0.04812, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 101, w1 = 3746.015, w2 = 3667.137, dw = -0.0478, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 102, w1 = 3721.696, w2 = 3643.337, dw = -0.04749, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 103, w1 = 3697.69, w2 = 3619.844, dw = -0.04718, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 104, w1 = 3673.992, w2 = 3596.652, dw = -0.04687, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 105, w1 = 3650.596, w2 = 3573.756, dw = -0.04657, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 106, w1 = 3627.496, w2 = 3551.151, dw = -0.04627, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 107, w1 = 3604.686, w2 = 3528.83, dw = -0.04597, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 108, w1 = 3582.161, w2 = 3506.788, dw = -0.04568, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 109, w1 = 3559.916, w2 = 3485.02, dw = -0.04539, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 110, w1 = 3537.946, w2 = 3463.521, dw = -0.04511, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 111, w1 = 3516.244, w2 = 3442.286, dw = -0.04482, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 112, w1 = 3494.808, w2 = 3421.311, dw = -0.04454, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 113, w1 = 3473.631, w2 = 3400.59, dw = -0.04427, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 114, w1 = 3452.708, w2 = 3380.119, dw = -0.04399, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 115, w1 = 3432.037, w2 = 3359.894, dw = -0.04372, nw = 1651 EchelleThAr.0019.ec.fits: REFSPEC1 = 'EchelleThAr.0019.ec 1.' zEchelleThAr.0019.ec.fits: ap = 1, w1 = 10812.26, w2 = 10584.13, dw = -0.13827, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 2, w1 = 10612.05, w2 = 10388.14, dw = -0.13571, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 3, w1 = 10419.12, w2 = 10199.28, dw = -0.13324, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 4, w1 = 10233.08, w2 = 10017.17, dw = -0.13086, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 5, w1 = 10053.57, w2 = 9841.443, dw = -0.12856, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 6, w1 = 9880.25, w2 = 9671.779, dw = -0.12635, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 7, w1 = 9712.803, w2 = 9507.866, dw = -0.1242, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 8, w1 = 9550.938, w2 = 9349.416, dw = -0.12213, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 9, w1 = 9394.379, w2 = 9196.162, dw = -0.12013, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 10, w1 = 9242.871, w2 = 9047.851, dw = -0.11819, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 11, w1 = 9096.172, w2 = 8904.248, dw = -0.11632, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 12, w1 = 8954.058, w2 = 8765.134, dw = -0.1145, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 13, w1 = 8816.316, w2 = 8630.299, dw = -0.11274, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 14, w1 = 8682.748, w2 = 8499.551, dw = -0.11103, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 15, w1 = 8553.168, w2 = 8372.705, dw = -0.10937, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 16, w1 = 8427.398, w2 = 8249.59, dw = -0.10776, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 17, w1 = 8305.274, w2 = 8130.044, dw = -0.1062, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 18, w1 = 8186.638, w2 = 8013.913, dw = -0.10468, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 19, w1 = 8071.345, w2 = 7901.054, dw = -0.10321, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 20, w1 = 7959.254, w2 = 7791.329, dw = -0.10177, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 21, w1 = 7850.235, w2 = 7684.611, dw = -0.10038, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 22, w1 = 7744.161, w2 = 7580.777, dw = -0.09902, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 23, w1 = 7640.917, w2 = 7479.712, dw = -0.0977, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 24, w1 = 7540.389, w2 = 7381.307, dw = -0.09641, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 25, w1 = 7442.472, w2 = 7285.457, dw = -0.09516, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 26, w1 = 7347.066, w2 = 7192.065, dw = -0.09394, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 27, w1 = 7254.075, w2 = 7101.038, dw = -0.09275, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 28, w1 = 7163.409, w2 = 7012.287, dw = -0.09159, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 29, w1 = 7074.982, w2 = 6925.726, dw = -0.09046, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 30, w1 = 6988.711, w2 = 6841.278, dw = -0.08935, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 31, w1 = 6904.519, w2 = 6758.864, dw = -0.08828, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 32, w1 = 6822.332, w2 = 6678.412, dw = -0.08722, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 33, w1 = 6742.079, w2 = 6599.853, dw = -0.0862, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 34, w1 = 6663.692, w2 = 6523.122, dw = -0.08519, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 35, w1 = 6587.107, w2 = 6448.154, dw = -0.08421, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 36, w1 = 6512.263, w2 = 6374.89, dw = -0.08326, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 37, w1 = 6439.1, w2 = 6303.273, dw = -0.08232, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 38, w1 = 6367.563, w2 = 6233.247, dw = -0.0814, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 39, w1 = 6297.599, w2 = 6164.76, dw = -0.08051, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 40, w1 = 6229.156, w2 = 6097.763, dw = -0.07963, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 41, w1 = 6162.184, w2 = 6032.206, dw = -0.07877, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 42, w1 = 6096.638, w2 = 5968.044, dw = -0.07794, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 43, w1 = 6032.471, w2 = 5905.232, dw = -0.07711, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 44, w1 = 5969.642, w2 = 5843.73, dw = -0.07631, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 45, w1 = 5908.107, w2 = 5783.495, dw = -0.07552, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 46, w1 = 5847.829, w2 = 5724.49, dw = -0.07475, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 47, w1 = 5788.769, w2 = 5666.677, dw = -0.07399, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 48, w1 = 5730.889, w2 = 5610.021, dw = -0.07325, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 49, w1 = 5674.156, w2 = 5554.486, dw = -0.07253, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 50, w1 = 5618.536, w2 = 5500.04, dw = -0.07182, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 51, w1 = 5563.995, w2 = 5446.652, dw = -0.07112, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 52, w1 = 5510.503, w2 = 5394.29, dw = -0.07043, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 53, w1 = 5458.031, w2 = 5342.926, dw = -0.06976, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 54, w1 = 5406.548, w2 = 5292.531, dw = -0.0691, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 55, w1 = 5356.028, w2 = 5243.078, dw = -0.06845, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 56, w1 = 5306.443, w2 = 5194.541, dw = -0.06782, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 57, w1 = 5257.769, w2 = 5146.895, dw = -0.0672, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 58, w1 = 5209.979, w2 = 5100.115, dw = -0.06658, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 59, w1 = 5163.051, w2 = 5054.178, dw = -0.06598, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 60, w1 = 5116.96, w2 = 5009.061, dw = -0.06539, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 61, w1 = 5071.686, w2 = 4964.743, dw = -0.06481, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 62, w1 = 5027.205, w2 = 4921.203, dw = -0.06424, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 63, w1 = 4983.499, w2 = 4878.42, dw = -0.06368, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 64, w1 = 4940.546, w2 = 4836.374, dw = -0.06313, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 65, w1 = 4898.327, w2 = 4795.048, dw = -0.06259, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 66, w1 = 4856.824, w2 = 4754.422, dw = -0.06206, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 67, w1 = 4816.019, w2 = 4714.478, dw = -0.06154, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 68, w1 = 4775.894, w2 = 4675.201, dw = -0.06103, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 69, w1 = 4736.432, w2 = 4636.573, dw = -0.06052, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 70, w1 = 4697.617, w2 = 4598.578, dw = -0.06002, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 71, w1 = 4659.434, w2 = 4561.202, dw = -0.05953, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 72, w1 = 4621.866, w2 = 4524.428, dw = -0.05905, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 73, w1 = 4584.9, w2 = 4488.242, dw = -0.05858, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 74, w1 = 4548.52, w2 = 4452.631, dw = -0.05811, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 75, w1 = 4512.713, w2 = 4417.581, dw = -0.05766, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 76, w1 = 4477.466, w2 = 4383.079, dw = -0.0572, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 77, w1 = 4442.766, w2 = 4349.112, dw = -0.05676, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 78, w1 = 4408.6, w2 = 4315.667, dw = -0.05632, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 79, w1 = 4374.955, w2 = 4282.734, dw = -0.05589, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 80, w1 = 4341.82, w2 = 4250.299, dw = -0.05547, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 81, w1 = 4309.183, w2 = 4218.352, dw = -0.05505, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 82, w1 = 4277.034, w2 = 4186.882, dw = -0.05464, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 83, w1 = 4245.361, w2 = 4155.878, dw = -0.05423, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 84, w1 = 4214.154, w2 = 4125.331, dw = -0.05383, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 85, w1 = 4183.403, w2 = 4095.229, dw = -0.05344, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 86, w1 = 4153.097, w2 = 4065.564, dw = -0.05305, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 87, w1 = 4123.228, w2 = 4036.326, dw = -0.05267, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 88, w1 = 4093.785, w2 = 4007.505, dw = -0.05229, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 89, w1 = 4064.76, w2 = 3979.094, dw = -0.05192, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 90, w1 = 4036.144, w2 = 3951.082, dw = -0.05155, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 91, w1 = 4007.929, w2 = 3923.463, dw = -0.05119, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 92, w1 = 3980.105, w2 = 3896.227, dw = -0.05083, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 93, w1 = 3952.665, w2 = 3869.367, dw = -0.05048, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 94, w1 = 3925.601, w2 = 3842.876, dw = -0.05014, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 95, w1 = 3898.906, w2 = 3816.744, dw = -0.0498, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 96, w1 = 3872.571, w2 = 3790.966, dw = -0.04946, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 97, w1 = 3846.591, w2 = 3765.534, dw = -0.04913, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 98, w1 = 3820.956, w2 = 3740.442, dw = -0.0488, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 99, w1 = 3795.661, w2 = 3715.681, dw = -0.04847, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 100, w1 = 3770.699, w2 = 3691.247, dw = -0.04815, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 101, w1 = 3746.064, w2 = 3667.132, dw = -0.04784, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 102, w1 = 3721.749, w2 = 3643.33, dw = -0.04753, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 103, w1 = 3697.747, w2 = 3619.836, dw = -0.04722, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 104, w1 = 3674.054, w2 = 3596.643, dw = -0.04692, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 105, w1 = 3650.662, w2 = 3573.746, dw = -0.04662, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 106, w1 = 3627.566, w2 = 3551.138, dw = -0.04632, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 107, w1 = 3604.761, w2 = 3528.815, dw = -0.04603, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 108, w1 = 3582.242, w2 = 3506.771, dw = -0.04574, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 109, w1 = 3560.002, w2 = 3485.002, dw = -0.04545, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 110, w1 = 3538.037, w2 = 3463.501, dw = -0.04517, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 111, w1 = 3516.341, w2 = 3442.264, dw = -0.0449, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 112, w1 = 3494.911, w2 = 3421.286, dw = -0.04462, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 113, w1 = 3473.74, w2 = 3400.562, dw = -0.04435, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 114, w1 = 3452.824, w2 = 3380.088, dw = -0.04408, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 115, w1 = 3432.159, w2 = 3359.86, dw = -0.04382, nw = 1651 EchelleThAr.0020.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' zEchelleThAr.0020.ec.fits: ap = 1, w1 = 10812.33, w2 = 10584.15, dw = -0.13829, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 2, w1 = 10612.11, w2 = 10388.16, dw = -0.13573, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 3, w1 = 10419.17, w2 = 10199.29, dw = -0.13326, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 4, w1 = 10233.12, w2 = 10017.18, dw = -0.13088, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 5, w1 = 10053.61, w2 = 9841.452, dw = -0.12858, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 6, w1 = 9880.279, w2 = 9671.786, dw = -0.12636, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 7, w1 = 9712.827, w2 = 9507.871, dw = -0.12422, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 8, w1 = 9550.957, w2 = 9349.419, dw = -0.12214, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 9, w1 = 9394.395, w2 = 9196.164, dw = -0.12014, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 10, w1 = 9242.883, w2 = 9047.852, dw = -0.1182, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 11, w1 = 9096.181, w2 = 8904.248, dw = -0.11632, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 12, w1 = 8954.064, w2 = 8765.132, dw = -0.1145, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 13, w1 = 8816.32, w2 = 8630.297, dw = -0.11274, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 14, w1 = 8682.75, w2 = 8499.548, dw = -0.11103, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 15, w1 = 8553.167, w2 = 8372.702, dw = -0.10937, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 16, w1 = 8427.396, w2 = 8249.587, dw = -0.10776, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 17, w1 = 8305.27, w2 = 8130.04, dw = -0.1062, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 18, w1 = 8186.634, w2 = 8013.909, dw = -0.10468, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 19, w1 = 8071.34, w2 = 7901.049, dw = -0.10321, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 20, w1 = 7959.248, w2 = 7791.325, dw = -0.10177, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 21, w1 = 7850.228, w2 = 7684.607, dw = -0.10038, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 22, w1 = 7744.154, w2 = 7580.773, dw = -0.09902, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 23, w1 = 7640.909, w2 = 7479.708, dw = -0.0977, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 24, w1 = 7540.381, w2 = 7381.302, dw = -0.09641, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 25, w1 = 7442.464, w2 = 7285.453, dw = -0.09516, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 26, w1 = 7347.058, w2 = 7192.062, dw = -0.09394, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 27, w1 = 7254.067, w2 = 7101.034, dw = -0.09275, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 28, w1 = 7163.401, w2 = 7012.283, dw = -0.09159, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 29, w1 = 7074.974, w2 = 6925.723, dw = -0.09045, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 30, w1 = 6988.703, w2 = 6841.274, dw = -0.08935, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 31, w1 = 6904.512, w2 = 6758.861, dw = -0.08827, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 32, w1 = 6822.325, w2 = 6678.409, dw = -0.08722, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 33, w1 = 6742.071, w2 = 6599.851, dw = -0.08619, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 34, w1 = 6663.685, w2 = 6523.119, dw = -0.08519, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 35, w1 = 6587.1, w2 = 6448.152, dw = -0.08421, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 36, w1 = 6512.256, w2 = 6374.888, dw = -0.08325, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 37, w1 = 6439.093, w2 = 6303.271, dw = -0.08232, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 38, w1 = 6367.557, w2 = 6233.245, dw = -0.0814, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 39, w1 = 6297.593, w2 = 6164.759, dw = -0.08051, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 40, w1 = 6229.15, w2 = 6097.761, dw = -0.07963, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 41, w1 = 6162.179, w2 = 6032.204, dw = -0.07877, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 42, w1 = 6096.632, w2 = 5968.042, dw = -0.07793, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 43, w1 = 6032.466, w2 = 5905.231, dw = -0.07711, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 44, w1 = 5969.636, w2 = 5843.729, dw = -0.07631, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 45, w1 = 5908.102, w2 = 5783.494, dw = -0.07552, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 46, w1 = 5847.824, w2 = 5724.489, dw = -0.07475, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 47, w1 = 5788.763, w2 = 5666.676, dw = -0.07399, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 48, w1 = 5730.884, w2 = 5610.02, dw = -0.07325, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 49, w1 = 5674.151, w2 = 5554.485, dw = -0.07252, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 50, w1 = 5618.53, w2 = 5500.039, dw = -0.07181, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 51, w1 = 5563.99, w2 = 5446.651, dw = -0.07111, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 52, w1 = 5510.498, w2 = 5394.289, dw = -0.07043, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 53, w1 = 5458.025, w2 = 5342.925, dw = -0.06976, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 54, w1 = 5406.543, w2 = 5292.53, dw = -0.0691, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 55, w1 = 5356.022, w2 = 5243.077, dw = -0.06845, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 56, w1 = 5306.437, w2 = 5194.54, dw = -0.06782, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 57, w1 = 5257.762, w2 = 5146.893, dw = -0.06719, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 58, w1 = 5209.973, w2 = 5100.113, dw = -0.06658, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 59, w1 = 5163.044, w2 = 5054.176, dw = -0.06598, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 60, w1 = 5116.953, w2 = 5009.059, dw = -0.06539, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 61, w1 = 5071.678, w2 = 4964.741, dw = -0.06481, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 62, w1 = 5027.198, w2 = 4921.2, dw = -0.06424, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 63, w1 = 4983.491, w2 = 4878.417, dw = -0.06368, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 64, w1 = 4940.538, w2 = 4836.371, dw = -0.06313, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 65, w1 = 4898.319, w2 = 4795.045, dw = -0.06259, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 66, w1 = 4856.815, w2 = 4754.418, dw = -0.06206, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 67, w1 = 4816.01, w2 = 4714.475, dw = -0.06154, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 68, w1 = 4775.884, w2 = 4675.198, dw = -0.06102, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 69, w1 = 4736.422, w2 = 4636.569, dw = -0.06052, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 70, w1 = 4697.607, w2 = 4598.575, dw = -0.06002, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 71, w1 = 4659.423, w2 = 4561.198, dw = -0.05953, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 72, w1 = 4621.855, w2 = 4524.424, dw = -0.05905, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 73, w1 = 4584.888, w2 = 4488.238, dw = -0.05858, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 74, w1 = 4548.508, w2 = 4452.627, dw = -0.05811, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 75, w1 = 4512.701, w2 = 4417.577, dw = -0.05765, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 76, w1 = 4477.454, w2 = 4383.075, dw = -0.0572, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 77, w1 = 4442.753, w2 = 4349.108, dw = -0.05675, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 78, w1 = 4408.587, w2 = 4315.663, dw = -0.05632, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 79, w1 = 4374.942, w2 = 4282.73, dw = -0.05589, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 80, w1 = 4341.807, w2 = 4250.295, dw = -0.05546, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 81, w1 = 4309.17, w2 = 4218.348, dw = -0.05504, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 82, w1 = 4277.02, w2 = 4186.878, dw = -0.05463, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 83, w1 = 4245.348, w2 = 4155.875, dw = -0.05423, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 84, w1 = 4214.141, w2 = 4125.328, dw = -0.05383, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 85, w1 = 4183.389, w2 = 4095.226, dw = -0.05343, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 86, w1 = 4153.084, w2 = 4065.561, dw = -0.05304, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 87, w1 = 4123.215, w2 = 4036.324, dw = -0.05266, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 88, w1 = 4093.772, w2 = 4007.504, dw = -0.05228, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 89, w1 = 4064.748, w2 = 3979.093, dw = -0.05191, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 90, w1 = 4036.132, w2 = 3951.082, dw = -0.05155, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 91, w1 = 4007.917, w2 = 3923.463, dw = -0.05118, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 92, w1 = 3980.094, w2 = 3896.228, dw = -0.05083, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 93, w1 = 3952.655, w2 = 3869.369, dw = -0.05048, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 94, w1 = 3925.592, w2 = 3842.878, dw = -0.05013, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 95, w1 = 3898.898, w2 = 3816.748, dw = -0.04979, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 96, w1 = 3872.564, w2 = 3790.97, dw = -0.04945, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 97, w1 = 3846.584, w2 = 3765.54, dw = -0.04912, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 98, w1 = 3820.951, w2 = 3740.448, dw = -0.04879, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 99, w1 = 3795.657, w2 = 3715.689, dw = -0.04847, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 100, w1 = 3770.697, w2 = 3691.256, dw = -0.04815, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 101, w1 = 3746.063, w2 = 3667.142, dw = -0.04783, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 102, w1 = 3721.749, w2 = 3643.342, dw = -0.04752, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 103, w1 = 3697.75, w2 = 3619.849, dw = -0.04721, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 104, w1 = 3674.058, w2 = 3596.658, dw = -0.04691, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 105, w1 = 3650.668, w2 = 3573.762, dw = -0.04661, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 106, w1 = 3627.575, w2 = 3551.157, dw = -0.04631, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 107, w1 = 3604.773, w2 = 3528.836, dw = -0.04602, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 108, w1 = 3582.256, w2 = 3506.794, dw = -0.04573, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 109, w1 = 3560.018, w2 = 3485.026, dw = -0.04545, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 110, w1 = 3538.056, w2 = 3463.528, dw = -0.04517, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 111, w1 = 3516.364, w2 = 3442.293, dw = -0.04489, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 112, w1 = 3494.936, w2 = 3421.318, dw = -0.04462, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 113, w1 = 3473.769, w2 = 3400.597, dw = -0.04435, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 114, w1 = 3452.857, w2 = 3380.126, dw = -0.04408, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 115, w1 = 3432.195, w2 = 3359.9, dw = -0.04382, 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 Combining spectra... Dec 10 11:33: SCOMBINE combine = sum blank = 0. 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1.000 0. 0.009 130613.0021.ec.fits[ 44] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 45] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 46] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 47] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 48] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 49] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 50] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 51] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 52] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 53] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 54] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 55] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 56] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 57] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 58] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 59] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 60] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 61] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 62] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 63] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 64] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 65] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 66] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 67] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 68] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 69] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 70] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 71] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 72] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 73] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 74] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 75] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 76] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 77] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 78] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 79] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 80] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 81] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 82] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 83] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 84] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 85] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 86] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 87] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 88] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 89] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 90] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 91] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 92] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 93] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 94] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 95] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 96] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 97] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 98] 900.0 1.000 0. 0.009 130613.0021.ec.fits[ 99] 900.0 1.000 0. 0.009 130613.0021.ec.fits[100] 900.0 1.000 0. 0.009 130613.0021.ec.fits[101] 900.0 1.000 0. 0.009 130613.0021.ec.fits[102] 900.0 1.000 0. 0.009 130613.0021.ec.fits[103] 900.0 1.000 0. 0.009 130613.0021.ec.fits[104] 900.0 1.000 0. 0.009 130613.0021.ec.fits[105] 900.0 1.000 0. 0.009 130613.0021.ec.fits[106] 900.0 1.000 0. 0.009 130613.0021.ec.fits[107] 900.0 1.000 0. 0.009 130613.0021.ec.fits[108] 900.0 1.000 0. 0.009 130613.0021.ec.fits[109] 900.0 1.000 0. 0.009 130613.0021.ec.fits[110] 900.0 1.000 0. 0.009 130613.0021.ec.fits[111] 900.0 1.000 0. 0.009 130613.0021.ec.fits[112] 900.0 1.000 0. 0.009 130613.0021.ec.fits[113] 900.0 1.000 0. 0.009 130613.0021.ec.fits[114] 900.0 1.000 0. 0.009 130613.0021.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum130613.0021.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.9, w2 = 10812.33, dw = 0.04381512, nw = 170089., dtype = 0 Dec 10 11:34: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130613.0022.ec.fits[ 1] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 2] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 3] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 4] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 5] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 6] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 7] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 8] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 9] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 10] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 11] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 12] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 13] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 14] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 15] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 16] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 17] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 18] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 19] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 20] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 21] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 22] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 23] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 24] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 25] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 26] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 27] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 28] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 29] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 30] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 31] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 32] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 33] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 34] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 35] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 36] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 37] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 38] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 39] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 40] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 41] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 42] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 43] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 44] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 45] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 46] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 47] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 48] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 49] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 50] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 51] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 52] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 53] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 54] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 55] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 56] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 57] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 58] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 59] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 60] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 61] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 62] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 63] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 64] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 65] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 66] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 67] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 68] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 69] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 70] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 71] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 72] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 73] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 74] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 75] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 76] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 77] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 78] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 79] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 80] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 81] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 82] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 83] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 84] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 85] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 86] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 87] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 88] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 89] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 90] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 91] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 92] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 93] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 94] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 95] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 96] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 97] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 98] 900.0 1.000 0. 0.009 130613.0022.ec.fits[ 99] 900.0 1.000 0. 0.009 130613.0022.ec.fits[100] 900.0 1.000 0. 0.009 130613.0022.ec.fits[101] 900.0 1.000 0. 0.009 130613.0022.ec.fits[102] 900.0 1.000 0. 0.009 130613.0022.ec.fits[103] 900.0 1.000 0. 0.009 130613.0022.ec.fits[104] 900.0 1.000 0. 0.009 130613.0022.ec.fits[105] 900.0 1.000 0. 0.009 130613.0022.ec.fits[106] 900.0 1.000 0. 0.009 130613.0022.ec.fits[107] 900.0 1.000 0. 0.009 130613.0022.ec.fits[108] 900.0 1.000 0. 0.009 130613.0022.ec.fits[109] 900.0 1.000 0. 0.009 130613.0022.ec.fits[110] 900.0 1.000 0. 0.009 130613.0022.ec.fits[111] 900.0 1.000 0. 0.009 130613.0022.ec.fits[112] 900.0 1.000 0. 0.009 130613.0022.ec.fits[113] 900.0 1.000 0. 0.009 130613.0022.ec.fits[114] 900.0 1.000 0. 0.009 130613.0022.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum130613.0022.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.9, w2 = 10812.33, dw = 0.04381512, nw = 170089., dtype = 0 Dec 10 11:35: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130613.0023.ec.fits[ 1] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 2] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 3] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 4] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 5] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 6] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 7] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 8] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 9] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 10] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 11] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 12] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 13] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 14] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 15] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 16] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 17] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 18] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 19] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 20] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 21] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 22] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 23] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 24] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 25] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 26] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 27] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 28] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 29] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 30] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 31] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 32] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 33] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 34] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 35] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 36] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 37] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 38] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 39] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 40] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 41] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 42] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 43] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 44] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 45] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 46] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 47] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 48] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 49] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 50] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 51] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 52] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 53] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 54] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 55] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 56] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 57] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 58] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 59] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 60] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 61] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 62] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 63] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 64] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 65] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 66] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 67] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 68] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 69] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 70] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 71] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 72] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 73] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 74] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 75] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 76] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 77] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 78] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 79] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 80] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 81] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 82] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 83] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 84] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 85] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 86] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 87] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 88] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 89] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 90] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 91] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 92] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 93] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 94] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 95] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 96] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 97] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 98] 900.0 1.000 0. 0.009 130613.0023.ec.fits[ 99] 900.0 1.000 0. 0.009 130613.0023.ec.fits[100] 900.0 1.000 0. 0.009 130613.0023.ec.fits[101] 900.0 1.000 0. 0.009 130613.0023.ec.fits[102] 900.0 1.000 0. 0.009 130613.0023.ec.fits[103] 900.0 1.000 0. 0.009 130613.0023.ec.fits[104] 900.0 1.000 0. 0.009 130613.0023.ec.fits[105] 900.0 1.000 0. 0.009 130613.0023.ec.fits[106] 900.0 1.000 0. 0.009 130613.0023.ec.fits[107] 900.0 1.000 0. 0.009 130613.0023.ec.fits[108] 900.0 1.000 0. 0.009 130613.0023.ec.fits[109] 900.0 1.000 0. 0.009 130613.0023.ec.fits[110] 900.0 1.000 0. 0.009 130613.0023.ec.fits[111] 900.0 1.000 0. 0.009 130613.0023.ec.fits[112] 900.0 1.000 0. 0.009 130613.0023.ec.fits[113] 900.0 1.000 0. 0.009 130613.0023.ec.fits[114] 900.0 1.000 0. 0.009 130613.0023.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum130613.0023.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.9, w2 = 10812.33, dw = 0.04381512, nw = 170089., dtype = 0 Dec 10 11:36: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130613.0024.ec.fits[ 1] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 2] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 3] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 4] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 5] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 6] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 7] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 8] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 9] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 10] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 11] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 12] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 13] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 14] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 15] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 16] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 17] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 18] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 19] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 20] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 21] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 22] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 23] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 24] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 25] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 26] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 27] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 28] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 29] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 30] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 31] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 32] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 33] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 34] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 35] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 36] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 37] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 38] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 39] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 40] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 41] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 42] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 43] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 44] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 45] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 46] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 47] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 48] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 49] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 50] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 51] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 52] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 53] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 54] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 55] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 56] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 57] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 58] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 59] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 60] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 61] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 62] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 63] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 64] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 65] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 66] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 67] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 68] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 69] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 70] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 71] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 72] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 73] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 74] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 75] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 76] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 77] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 78] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 79] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 80] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 81] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 82] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 83] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 84] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 85] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 86] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 87] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 88] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 89] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 90] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 91] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 92] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 93] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 94] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 95] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 96] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 97] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 98] 601.8 1.000 0. 0.009 130613.0024.ec.fits[ 99] 601.8 1.000 0. 0.009 130613.0024.ec.fits[100] 601.8 1.000 0. 0.009 130613.0024.ec.fits[101] 601.8 1.000 0. 0.009 130613.0024.ec.fits[102] 601.8 1.000 0. 0.009 130613.0024.ec.fits[103] 601.8 1.000 0. 0.009 130613.0024.ec.fits[104] 601.8 1.000 0. 0.009 130613.0024.ec.fits[105] 601.8 1.000 0. 0.009 130613.0024.ec.fits[106] 601.8 1.000 0. 0.009 130613.0024.ec.fits[107] 601.8 1.000 0. 0.009 130613.0024.ec.fits[108] 601.8 1.000 0. 0.009 130613.0024.ec.fits[109] 601.8 1.000 0. 0.009 130613.0024.ec.fits[110] 601.8 1.000 0. 0.009 130613.0024.ec.fits[111] 601.8 1.000 0. 0.009 130613.0024.ec.fits[112] 601.8 1.000 0. 0.009 130613.0024.ec.fits[113] 601.8 1.000 0. 0.009 130613.0024.ec.fits[114] 601.8 1.000 0. 0.009 130613.0024.ec.fits[115] 601.8 1.000 0. 0.009 Output image = sum130613.0024.ec.fits, ncombine = 115, exptime = 69211.71 w1 = 3359.9, w2 = 10812.33, dw = 0.04381512, nw = 170089., dtype = 0 Dec 10 11:37: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130613.0025.ec.fits[ 1] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 2] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 3] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 4] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 5] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 6] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 7] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 8] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 9] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 10] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 11] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 12] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 13] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 14] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 15] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 16] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 17] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 18] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 19] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 20] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 21] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 22] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 23] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 24] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 25] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 26] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 27] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 28] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 29] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 30] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 31] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 32] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 33] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 34] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 35] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 36] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 37] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 38] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 39] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 40] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 41] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 42] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 43] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 44] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 45] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 46] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 47] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 48] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 49] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 50] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 51] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 52] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 53] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 54] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 55] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 56] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 57] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 58] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 59] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 60] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 61] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 62] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 63] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 64] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 65] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 66] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 67] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 68] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 69] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 70] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 71] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 72] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 73] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 74] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 75] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 76] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 77] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 78] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 79] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 80] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 81] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 82] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 83] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 84] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 85] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 86] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 87] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 88] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 89] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 90] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 91] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 92] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 93] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 94] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 95] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 96] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 97] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 98] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[ 99] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[100] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[101] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[102] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[103] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[104] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[105] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[106] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[107] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[108] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[109] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[110] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[111] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[112] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[113] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[114] 1500.0 1.000 0. 0.009 130613.0025.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum130613.0025.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.9, w2 = 10812.33, dw = 0.04381512, nw = 170089., dtype = 0 Dec 10 11:38: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130613.0027.ec.fits[ 1] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 2] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 3] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 4] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 5] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 6] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 7] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 8] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 9] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 10] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 11] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 12] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 13] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 14] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 15] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 16] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 17] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 18] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 19] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 20] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 21] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 22] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 23] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 24] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 25] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 26] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 27] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 28] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 29] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 30] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 31] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 32] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 33] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 34] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 35] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 36] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 37] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 38] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 39] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 40] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 41] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 42] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 43] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 44] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 45] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 46] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 47] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 48] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 49] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 50] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 51] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 52] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 53] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 54] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 55] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 56] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 57] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 58] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 59] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 60] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 61] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 62] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 63] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 64] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 65] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 66] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 67] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 68] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 69] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 70] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 71] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 72] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 73] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 74] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 75] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 76] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 77] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 78] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 79] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 80] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 81] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 82] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 83] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 84] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 85] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 86] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 87] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 88] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 89] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 90] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 91] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 92] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 93] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 94] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 95] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 96] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 97] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 98] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[ 99] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[100] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[101] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[102] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[103] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[104] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[105] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[106] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[107] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[108] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[109] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[110] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[111] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[112] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[113] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[114] 1500.0 1.000 0. 0.009 130613.0027.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum130613.0027.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.9, w2 = 10812.33, dw = 0.04381512, nw = 170089., dtype = 0 Dec 10 11:39: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130613.0028.ec.fits[ 1] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 2] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 3] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 4] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 5] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 6] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 7] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 8] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 9] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 10] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 11] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 12] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 13] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 14] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 15] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 16] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 17] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 18] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 19] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 20] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 21] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 22] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 23] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 24] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 25] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 26] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 27] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 28] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 29] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 30] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 31] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 32] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 33] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 34] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 35] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 36] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 37] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 38] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 39] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 40] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 41] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 42] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 43] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 44] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 45] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 46] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 47] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 48] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 49] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 50] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 51] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 52] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 53] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 54] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 55] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 56] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 57] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 58] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 59] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 60] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 61] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 62] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 63] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 64] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 65] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 66] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 67] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 68] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 69] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 70] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 71] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 72] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 73] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 74] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 75] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 76] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 77] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 78] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 79] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 80] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 81] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 82] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 83] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 84] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 85] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 86] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 87] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 88] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 89] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 90] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 91] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 92] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 93] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 94] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 95] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 96] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 97] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 98] 900.0 1.000 0. 0.009 130613.0028.ec.fits[ 99] 900.0 1.000 0. 0.009 130613.0028.ec.fits[100] 900.0 1.000 0. 0.009 130613.0028.ec.fits[101] 900.0 1.000 0. 0.009 130613.0028.ec.fits[102] 900.0 1.000 0. 0.009 130613.0028.ec.fits[103] 900.0 1.000 0. 0.009 130613.0028.ec.fits[104] 900.0 1.000 0. 0.009 130613.0028.ec.fits[105] 900.0 1.000 0. 0.009 130613.0028.ec.fits[106] 900.0 1.000 0. 0.009 130613.0028.ec.fits[107] 900.0 1.000 0. 0.009 130613.0028.ec.fits[108] 900.0 1.000 0. 0.009 130613.0028.ec.fits[109] 900.0 1.000 0. 0.009 130613.0028.ec.fits[110] 900.0 1.000 0. 0.009 130613.0028.ec.fits[111] 900.0 1.000 0. 0.009 130613.0028.ec.fits[112] 900.0 1.000 0. 0.009 130613.0028.ec.fits[113] 900.0 1.000 0. 0.009 130613.0028.ec.fits[114] 900.0 1.000 0. 0.009 130613.0028.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum130613.0028.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.9, w2 = 10812.33, dw = 0.04381512, nw = 170089., dtype = 0 Dec 10 11:40: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130613.0029.ec.fits[ 1] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 2] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 3] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 4] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 5] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 6] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 7] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 8] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 9] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 10] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 11] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 12] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 13] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 14] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 15] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 16] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 17] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 18] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 19] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 20] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 21] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 22] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 23] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 24] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 25] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 26] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 27] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 28] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 29] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 30] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 31] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 32] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 33] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 34] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 35] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 36] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 37] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 38] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 39] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 40] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 41] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 42] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 43] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 44] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 45] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 46] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 47] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 48] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 49] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 50] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 51] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 52] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 53] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 54] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 55] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 56] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 57] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 58] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 59] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 60] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 61] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 62] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 63] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 64] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 65] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 66] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 67] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 68] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 69] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 70] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 71] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 72] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 73] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 74] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 75] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 76] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 77] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 78] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 79] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 80] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 81] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 82] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 83] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 84] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 85] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 86] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 87] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 88] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 89] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 90] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 91] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 92] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 93] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 94] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 95] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 96] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 97] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 98] 900.0 1.000 0. 0.009 130613.0029.ec.fits[ 99] 900.0 1.000 0. 0.009 130613.0029.ec.fits[100] 900.0 1.000 0. 0.009 130613.0029.ec.fits[101] 900.0 1.000 0. 0.009 130613.0029.ec.fits[102] 900.0 1.000 0. 0.009 130613.0029.ec.fits[103] 900.0 1.000 0. 0.009 130613.0029.ec.fits[104] 900.0 1.000 0. 0.009 130613.0029.ec.fits[105] 900.0 1.000 0. 0.009 130613.0029.ec.fits[106] 900.0 1.000 0. 0.009 130613.0029.ec.fits[107] 900.0 1.000 0. 0.009 130613.0029.ec.fits[108] 900.0 1.000 0. 0.009 130613.0029.ec.fits[109] 900.0 1.000 0. 0.009 130613.0029.ec.fits[110] 900.0 1.000 0. 0.009 130613.0029.ec.fits[111] 900.0 1.000 0. 0.009 130613.0029.ec.fits[112] 900.0 1.000 0. 0.009 130613.0029.ec.fits[113] 900.0 1.000 0. 0.009 130613.0029.ec.fits[114] 900.0 1.000 0. 0.009 130613.0029.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum130613.0029.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.9, w2 = 10812.33, dw = 0.04381512, nw = 170089., dtype = 0 Dec 10 11:40: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130613.0031.ec.fits[ 1] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 2] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 3] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 4] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 5] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 6] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 7] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 8] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 9] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 10] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 11] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 12] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 13] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 14] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 15] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 16] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 17] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 18] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 19] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 20] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 21] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 22] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 23] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 24] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 25] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 26] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 27] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 28] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 29] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 30] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 31] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 32] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 33] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 34] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 35] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 36] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 37] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 38] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 39] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 40] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 41] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 42] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 43] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 44] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 45] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 46] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 47] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 48] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 49] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 50] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 51] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 52] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 53] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 54] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 55] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 56] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 57] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 58] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 59] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 60] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 61] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 62] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 63] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 64] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 65] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 66] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 67] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 68] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 69] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 70] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 71] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 72] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 73] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 74] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 75] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 76] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 77] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 78] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 79] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 80] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 81] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 82] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 83] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 84] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 85] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 86] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 87] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 88] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 89] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 90] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 91] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 92] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 93] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 94] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 95] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 96] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 97] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 98] 600.0 1.000 0. 0.009 130613.0031.ec.fits[ 99] 600.0 1.000 0. 0.009 130613.0031.ec.fits[100] 600.0 1.000 0. 0.009 130613.0031.ec.fits[101] 600.0 1.000 0. 0.009 130613.0031.ec.fits[102] 600.0 1.000 0. 0.009 130613.0031.ec.fits[103] 600.0 1.000 0. 0.009 130613.0031.ec.fits[104] 600.0 1.000 0. 0.009 130613.0031.ec.fits[105] 600.0 1.000 0. 0.009 130613.0031.ec.fits[106] 600.0 1.000 0. 0.009 130613.0031.ec.fits[107] 600.0 1.000 0. 0.009 130613.0031.ec.fits[108] 600.0 1.000 0. 0.009 130613.0031.ec.fits[109] 600.0 1.000 0. 0.009 130613.0031.ec.fits[110] 600.0 1.000 0. 0.009 130613.0031.ec.fits[111] 600.0 1.000 0. 0.009 130613.0031.ec.fits[112] 600.0 1.000 0. 0.009 130613.0031.ec.fits[113] 600.0 1.000 0. 0.009 130613.0031.ec.fits[114] 600.0 1.000 0. 0.009 130613.0031.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sum130613.0031.ec.fits, ncombine = 115, exptime = 68999.99 w1 = 3359.9, w2 = 10812.33, dw = 0.04381512, nw = 170089., dtype = 0 Dec 10 11:41: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130613.0032.ec.fits[ 1] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 2] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 3] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 4] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 5] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 6] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 7] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 8] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 9] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 10] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 11] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 12] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 13] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 14] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 15] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 16] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 17] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 18] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 19] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 20] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 21] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 22] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 23] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 24] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 25] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 26] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 27] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 28] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 29] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 30] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 31] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 32] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 33] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 34] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 35] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 36] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 37] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 38] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 39] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 40] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 41] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 42] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 43] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 44] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 45] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 46] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 47] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 48] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 49] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 50] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 51] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 52] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 53] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 54] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 55] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 56] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 57] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 58] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 59] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 60] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 61] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 62] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 63] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 64] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 65] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 66] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 67] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 68] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 69] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 70] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 71] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 72] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 73] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 74] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 75] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 76] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 77] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 78] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 79] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 80] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 81] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 82] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 83] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 84] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 85] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 86] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 87] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 88] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 89] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 90] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 91] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 92] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 93] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 94] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 95] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 96] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 97] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 98] 600.0 1.000 0. 0.009 130613.0032.ec.fits[ 99] 600.0 1.000 0. 0.009 130613.0032.ec.fits[100] 600.0 1.000 0. 0.009 130613.0032.ec.fits[101] 600.0 1.000 0. 0.009 130613.0032.ec.fits[102] 600.0 1.000 0. 0.009 130613.0032.ec.fits[103] 600.0 1.000 0. 0.009 130613.0032.ec.fits[104] 600.0 1.000 0. 0.009 130613.0032.ec.fits[105] 600.0 1.000 0. 0.009 130613.0032.ec.fits[106] 600.0 1.000 0. 0.009 130613.0032.ec.fits[107] 600.0 1.000 0. 0.009 130613.0032.ec.fits[108] 600.0 1.000 0. 0.009 130613.0032.ec.fits[109] 600.0 1.000 0. 0.009 130613.0032.ec.fits[110] 600.0 1.000 0. 0.009 130613.0032.ec.fits[111] 600.0 1.000 0. 0.009 130613.0032.ec.fits[112] 600.0 1.000 0. 0.009 130613.0032.ec.fits[113] 600.0 1.000 0. 0.009 130613.0032.ec.fits[114] 600.0 1.000 0. 0.009 130613.0032.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sum130613.0032.ec.fits, ncombine = 115, exptime = 68999.99 w1 = 3359.9, w2 = 10812.33, dw = 0.04381512, nw = 170089., dtype = 0 Dec 10 11:42: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130613.0021.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[100] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[101] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[102] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[103] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[104] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[105] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[106] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[107] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[108] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[109] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[110] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[111] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[112] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[113] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[114] 900.0 1.000 0. 0.009 fitcont130613.0021.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont130613.0021.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.9, w2 = 10812.33, dw = 0.04381512, nw = 170089., dtype = 0 Dec 10 11:42: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130613.0022.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[100] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[101] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[102] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[103] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[104] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[105] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[106] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[107] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[108] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[109] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[110] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[111] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[112] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[113] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[114] 900.0 1.000 0. 0.009 fitcont130613.0022.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont130613.0022.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.9, w2 = 10812.33, dw = 0.04381512, nw = 170089., dtype = 0 Dec 10 11:43: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130613.0023.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[100] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[101] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[102] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[103] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[104] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[105] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[106] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[107] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[108] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[109] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[110] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[111] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[112] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[113] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[114] 900.0 1.000 0. 0.009 fitcont130613.0023.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont130613.0023.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.9, w2 = 10812.33, dw = 0.04381512, nw = 170089., dtype = 0 Dec 10 11:43: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130613.0024.ec.fits[ 1] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 2] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 3] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 4] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 5] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 6] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 7] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 8] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 9] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 10] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 11] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 12] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 13] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 14] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 15] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 16] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 17] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 18] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 19] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 20] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 21] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 22] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 23] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 24] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 25] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 26] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 27] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 28] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 29] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 30] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 31] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 32] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 33] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 34] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 35] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 36] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 37] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 38] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 39] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 40] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 41] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 42] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 43] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 44] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 45] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 46] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 47] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 48] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 49] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 50] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 51] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 52] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 53] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 54] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 55] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 56] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 57] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 58] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 59] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 60] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 61] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 62] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 63] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 64] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 65] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 66] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 67] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 68] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 69] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 70] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 71] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 72] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 73] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 74] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 75] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 76] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 77] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 78] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 79] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 80] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 81] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 82] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 83] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 84] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 85] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 86] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 87] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 88] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 89] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 90] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 91] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 92] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 93] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 94] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 95] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 96] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 97] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 98] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[ 99] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[100] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[101] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[102] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[103] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[104] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[105] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[106] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[107] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[108] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[109] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[110] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[111] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[112] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[113] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[114] 601.8 1.000 0. 0.009 fitcont130613.0024.ec.fits[115] 601.8 1.000 0. 0.009 Output image = sumfitcont130613.0024.ec.fits, ncombine = 115, exptime = 69211.71 w1 = 3359.9, w2 = 10812.33, dw = 0.04381512, nw = 170089., dtype = 0 Dec 10 11:44: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130613.0025.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont130613.0025.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont130613.0025.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.9, w2 = 10812.33, dw = 0.04381512, nw = 170089., dtype = 0 Dec 10 11:44: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130613.0027.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont130613.0027.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont130613.0027.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.9, w2 = 10812.33, dw = 0.04381512, nw = 170089., dtype = 0 Dec 10 11:45: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130613.0028.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[100] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[101] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[102] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[103] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[104] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[105] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[106] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[107] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[108] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[109] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[110] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[111] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[112] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[113] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[114] 900.0 1.000 0. 0.009 fitcont130613.0028.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont130613.0028.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.9, w2 = 10812.33, dw = 0.04381512, nw = 170089., dtype = 0 Dec 10 11:46: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130613.0029.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[100] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[101] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[102] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[103] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[104] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[105] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[106] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[107] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[108] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[109] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[110] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[111] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[112] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[113] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[114] 900.0 1.000 0. 0.009 fitcont130613.0029.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont130613.0029.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.9, w2 = 10812.33, dw = 0.04381512, nw = 170089., dtype = 0 Dec 10 11:46: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130613.0031.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[100] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[101] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[102] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[103] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[104] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[105] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[106] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[107] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[108] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[109] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[110] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[111] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[112] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[113] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[114] 600.0 1.000 0. 0.009 fitcont130613.0031.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumfitcont130613.0031.ec.fits, ncombine = 115, exptime = 68999.99 w1 = 3359.9, w2 = 10812.33, dw = 0.04381512, nw = 170089., dtype = 0 Dec 10 11:47: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130613.0032.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[100] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[101] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[102] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[103] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[104] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[105] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[106] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[107] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[108] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[109] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[110] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[111] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[112] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[113] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[114] 600.0 1.000 0. 0.009 fitcont130613.0032.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumfitcont130613.0032.ec.fits, ncombine = 115, exptime = 68999.99 w1 = 3359.9, w2 = 10812.33, dw = 0.04381512, nw = 170089., dtype = 0 103500. fullspec130613.0021.ec.fits,EXPTIME: 103500. -> 900.0 fullspec130613.0021.ec.fits updated 103500. fullspec130613.0022.ec.fits,EXPTIME: 103500. -> 900.0 fullspec130613.0022.ec.fits updated 103500. fullspec130613.0023.ec.fits,EXPTIME: 103500. -> 900.0 fullspec130613.0023.ec.fits updated 69211.71 fullspec130613.0024.ec.fits,EXPTIME: 69211.71 -> 601.840956522 fullspec130613.0024.ec.fits updated 172500. fullspec130613.0025.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec130613.0025.ec.fits updated 172500. fullspec130613.0027.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec130613.0027.ec.fits updated 103500. fullspec130613.0028.ec.fits,EXPTIME: 103500. -> 900.0 fullspec130613.0028.ec.fits updated 103500. fullspec130613.0029.ec.fits,EXPTIME: 103500. -> 900.0 fullspec130613.0029.ec.fits updated 68999.99 fullspec130613.0031.ec.fits,EXPTIME: 68999.99 -> 599.999913043 fullspec130613.0031.ec.fits updated 68999.99 fullspec130613.0032.ec.fits,EXPTIME: 68999.99 -> 599.999913043 fullspec130613.0032.ec.fits updated ALL DONE! Yay! (=^.^=)