Copying data files and other necessary files Changing to reduced data directory Generating file lists... Setting dispaxis... add 151025.0018.fits,dispaxis = 1 151025.0018.fits updated add 151025.0019.fits,dispaxis = 1 151025.0019.fits updated add 151025.0020.fits,dispaxis = 1 151025.0020.fits updated add 151025.0021.fits,dispaxis = 1 151025.0021.fits updated add 151025.0022.fits,dispaxis = 1 151025.0022.fits updated add 151025.0023.fits,dispaxis = 1 151025.0023.fits updated add 151025.0024.fits,dispaxis = 1 151025.0024.fits updated add 151025.0025.fits,dispaxis = 1 151025.0025.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.0026.fits,dispaxis = 1 EchelleThAr.0026.fits updated Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. FIXPIX: image EchelleFlat.0011.fits with mask echmask.pl Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. FIXPIX: image EchelleFlat.0012.fits with mask echmask.pl Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. FIXPIX: image EchelleFlat.0013.fits with mask echmask.pl Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. FIXPIX: image EchelleFlatBlue.0014.fits with mask echmask.pl Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. FIXPIX: image EchelleFlatBlue.0015.fits with mask echmask.pl Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. FIXPIX: image EchelleFlatBlue.0016.fits with mask echmask.pl FIXPIX: image 151025.0018.fits with mask echmask.pl FIXPIX: image 151025.0019.fits with mask echmask.pl FIXPIX: image 151025.0020.fits with mask echmask.pl FIXPIX: image 151025.0021.fits with mask echmask.pl FIXPIX: image 151025.0022.fits with mask echmask.pl FIXPIX: image 151025.0023.fits with mask echmask.pl FIXPIX: image 151025.0024.fits with mask echmask.pl FIXPIX: image 151025.0025.fits with mask echmask.pl FIXPIX: image EchelleThAr.0017.fits with mask echmask.pl Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. FIXPIX: image EchelleThAr.0026.fits with mask echmask.pl Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. Oct 26 11:22: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Exp EchelleBias.0001.fits 0.0 EchelleBias.0002.fits 0.0 EchelleBias.0003.fits 0.0 EchelleBias.0004.fits 0.4 EchelleBias.0005.fits 0.0 EchelleBias.0006.fits 2.4 EchelleBias.0007.fits 0.0 EchelleBias.0008.fits 0.4 EchelleBias.0009.fits 0.0 EchelleBias.0010.fits 2.4 Output image = bias_fid, ncombine = 10 Calibrating object images and flats (bias, and trimming)... 151025.0018.fits: Oct 26 11:22 Trim data section is [200:1850,1:2048] Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. bias_fid: Oct 26 11:22 Trim data section is [200:1850,1:2048] 151025.0018.fits: Oct 26 11:22 Zero level correction image is bias_fid 151025.0019.fits: Oct 26 11:22 Trim data section is [200:1850,1:2048] 151025.0019.fits: Oct 26 11:22 Zero level correction image is bias_fid 151025.0020.fits: Oct 26 11:22 Trim data section is [200:1850,1:2048] 151025.0020.fits: Oct 26 11:22 Zero level correction image is bias_fid 151025.0021.fits: Oct 26 11:22 Trim data section is [200:1850,1:2048] 151025.0021.fits: Oct 26 11:22 Zero level correction image is bias_fid 151025.0022.fits: Oct 26 11:22 Trim data section is [200:1850,1:2048] 151025.0022.fits: Oct 26 11:22 Zero level correction image is bias_fid 151025.0023.fits: Oct 26 11:22 Trim data section is [200:1850,1:2048] 151025.0023.fits: Oct 26 11:22 Zero level correction image is bias_fid 151025.0024.fits: Oct 26 11:22 Trim data section is [200:1850,1:2048] 151025.0024.fits: Oct 26 11:22 Zero level correction image is bias_fid 151025.0025.fits: Oct 26 11:22 Trim data section is [200:1850,1:2048] 151025.0025.fits: Oct 26 11:22 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. EchelleFlat.0011.fits: Oct 26 11:22 Trim data section is [200:1850,1:2048] EchelleFlat.0011.fits: Oct 26 11:22 Zero level correction image is bias_fid Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. EchelleFlat.0012.fits: Oct 26 11:22 Trim data section is [200:1850,1:2048] EchelleFlat.0012.fits: Oct 26 11:22 Zero level correction image is bias_fid Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. EchelleFlat.0013.fits: Oct 26 11:22 Trim data section is [200:1850,1:2048] EchelleFlat.0013.fits: Oct 26 11:22 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. EchelleFlatBlue.0014.fits: Oct 26 11:22 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0014.fits: Oct 26 11:22 Zero level correction image is bias_fid Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. EchelleFlatBlue.0015.fits: Oct 26 11:22 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0015.fits: Oct 26 11:22 Zero level correction image is bias_fid Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. EchelleFlatBlue.0016.fits: Oct 26 11:22 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0016.fits: Oct 26 11:22 Zero level correction image is bias_fid Calibrating ThAr arcs... EchelleThAr.0017.fits: Oct 26 11:22 Trim data section is [200:1850,1:2048] EchelleThAr.0017.fits: Oct 26 11:22 Zero level correction image is bias_fid Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. EchelleThAr.0026.fits: Oct 26 11:22 Trim data section is [200:1850,1:2048] EchelleThAr.0026.fits: Oct 26 11:22 Zero level correction image is bias_fid Combining red and blue flats into separate fiducial flats... Oct 26 11:22: 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 Oct 26 11:22: 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... Oct 26 11:22: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1638. Oct 26 11:22: TRACE - Trace of aperture 99 in flat_fid_mag recovered at column 1639. Oct 26 11:22: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1644. Oct 26 11:22: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1645. Oct 26 11:22: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 126. Oct 26 11:22: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 125. Oct 26 11:22: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1535. Oct 26 11:22: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1536. Oct 26 11:22: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1537. Oct 26 11:22: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1599. Oct 26 11:22: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1600. Oct 26 11:22: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 167. Oct 26 11:22: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 166. Oct 26 11:22: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1572. Oct 26 11:22: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1573. Oct 26 11:22: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1574. Oct 26 11:22: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 178. Oct 26 11:22: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 177. Oct 26 11:22: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 138. Oct 26 11:22: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 137. Oct 26 11:22: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 127. Oct 26 11:22: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 126. Oct 26 11:22: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 125. Oct 26 11:22: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1498. Oct 26 11:22: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1499. Oct 26 11:22: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1558. Oct 26 11:22: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1559. Oct 26 11:22: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1615. Oct 26 11:22: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1616. Oct 26 11:22: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1649. Oct 26 11:22: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1650. Oct 26 11:22: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1651. Oct 26 11:22: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 184. Oct 26 11:22: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 183. Oct 26 11:22: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 182. Oct 26 11:22: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 181. Oct 26 11:22: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 180. Oct 26 11:22: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 48. Oct 26 11:22: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 47. Oct 26 11:22: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1547. Oct 26 11:22: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1548. Oct 26 11:22: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1549. Oct 26 11:22: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1561. Oct 26 11:22: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1562. Oct 26 11:22: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1563. Oct 26 11:22: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1587. Oct 26 11:22: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1588. Oct 26 11:22: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1589. Oct 26 11:22: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 206. Oct 26 11:22: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 205. Oct 26 11:22: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 135. Oct 26 11:22: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 134. Oct 26 11:22: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 133. Oct 26 11:22: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1548. Oct 26 11:22: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1549. Oct 26 11:22: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1550. Oct 26 11:22: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1551. Oct 26 11:22: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1570. Oct 26 11:22: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1571. Oct 26 11:22: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1574. Oct 26 11:22: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1575. Oct 26 11:22: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1576. Oct 26 11:22: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 200. Oct 26 11:22: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 199. Oct 26 11:22: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 198. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1439. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1440. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1517. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1518. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1519. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1528. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1529. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1530. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1551. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1552. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1553. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 257. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 256. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 239. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 238. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 237. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 200. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 199. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 157. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 156. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 119. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 118. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 117. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 116. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 115. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 114. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 95. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 94. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 93. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 82. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 81. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 43. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 42. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 39. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 38. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 34. Oct 26 11:22: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 33. Oct 26 11:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1485. Oct 26 11:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1486. Oct 26 11:22: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1487. Oct 26 11:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1496. Oct 26 11:22: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1497. Oct 26 11:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1570. Oct 26 11:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1571. Oct 26 11:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1572. Oct 26 11:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 232. Oct 26 11:22: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 231. Oct 26 11:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 221. Oct 26 11:22: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 220. Oct 26 11:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 208. Oct 26 11:22: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 207. Oct 26 11:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 196. Oct 26 11:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 195. Oct 26 11:22: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 194. Oct 26 11:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 180. Oct 26 11:22: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 179. Oct 26 11:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 172. Oct 26 11:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 171. Oct 26 11:22: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 170. Oct 26 11:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 169. Oct 26 11:22: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 168. Oct 26 11:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 162. Oct 26 11:22: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 161. Oct 26 11:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 137. Oct 26 11:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 136. Oct 26 11:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 135. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1339. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1340. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1341. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1384. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1385. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1386. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1407. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1408. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1409. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 320. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 319. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 289. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 288. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 272. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 271. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 236. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 235. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 224. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 223. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 222. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 132. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 131. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 130. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 129. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 123. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 122. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 108. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 107. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 106. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 104. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 103. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 8. Oct 26 11:22: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 7. Oct 26 11:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1338. Oct 26 11:22: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1339. Oct 26 11:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1400. Oct 26 11:22: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1401. Oct 26 11:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1402. Oct 26 11:22: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1403. Oct 26 11:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1437. Oct 26 11:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1438. Oct 26 11:22: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1439. Oct 26 11:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1442. Oct 26 11:22: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1443. Oct 26 11:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1444. Oct 26 11:22: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1445. Oct 26 11:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1454. Oct 26 11:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1455. Oct 26 11:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1456. Oct 26 11:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 183. Oct 26 11:22: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 182. Oct 26 11:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 149. Oct 26 11:22: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 148. Oct 26 11:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 145. Oct 26 11:22: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 144. Oct 26 11:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 137. Oct 26 11:22: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 136. Oct 26 11:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 130. Oct 26 11:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 129. Oct 26 11:22: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 128. Oct 26 11:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 122. Oct 26 11:22: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 121. Oct 26 11:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 100. Oct 26 11:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 99. Oct 26 11:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 98. Oct 26 11:22: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1356. Oct 26 11:22: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1357. Oct 26 11:22: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1358. Oct 26 11:22: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1359. Oct 26 11:22: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1360. Oct 26 11:22: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 357. Oct 26 11:22: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 356. Oct 26 11:22: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 348. Oct 26 11:22: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 347. Oct 26 11:22: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 324. Oct 26 11:22: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 323. Oct 26 11:22: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 314. Oct 26 11:22: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 313. Oct 26 11:22: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 287. Oct 26 11:22: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 286. Oct 26 11:22: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 285. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1134. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1135. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1231. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1232. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1240. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1241. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1315. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1316. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1317. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1340. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1341. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1342. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1346. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1347. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1348. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1349. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1355. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1356. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1360. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1361. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1366. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1367. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1378. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1379. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1384. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1385. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1389. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1390. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1391. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 424. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 423. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 345. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 344. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 343. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 276. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 275. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 262. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 261. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 260. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 244. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 243. Oct 26 11:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 242. Oct 26 11:22: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1022. Oct 26 11:22: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1023. Oct 26 11:22: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1126. Oct 26 11:22: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1127. Oct 26 11:22: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1128. Oct 26 11:22: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 668. Oct 26 11:22: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 667. Oct 26 11:22: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 397. Oct 26 11:22: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 396. Oct 26 11:22: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 395. Oct 26 11:22: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 394. Oct 26 11:22: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 371. Oct 26 11:22: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 370. Oct 26 11:22: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 339. Oct 26 11:22: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 338. Oct 26 11:22: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 337. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 870. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 871. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 872. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 910. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 911. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 930. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 931. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 932. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 952. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 953. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 976. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 977. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1033. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1034. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1043. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1044. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1085. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1086. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1098. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1099. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1100. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 804. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 803. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 802. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 734. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 733. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 693. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 692. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 545. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 544. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 536. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 535. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 528. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 527. Oct 26 11:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 526. Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Normalizing the superflat... flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits IMARITH: Operation = + Operand1 = nonorm_flat_fid_mag.ec.fits Operand2 = 13.05 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... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0026.fits Magnify image EchelleThAr.0026.fits to image EchelleThAr.0026.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0026.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0026.fits updated Applying model apertures to the arc and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Resampling the object by a factor of 4 in the y direction... 151025.0018 Magnify image 151025.0018 to image 151025.0018. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 151025.0018,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 151025.0018 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 151025.0018 -> noscat151025.0018 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Resampling the object by a factor of 4 in the y direction... 151025.0019 Magnify image 151025.0019 to image 151025.0019. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 151025.0019,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 151025.0019 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 151025.0019 -> noscat151025.0019 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Oct 26 11:24: EXTRACT: WARNING - Aperture 106: Oct 26 11:24: Total variance weighted spectrum flux is 7650.333 Oct 26 11:24: Total unweighted spectrum flux is 3746.767 Oct 26 11:24: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4897521 Oct 26 11:24: EXTRACT: WARNING - Aperture 109: Oct 26 11:24: Total variance weighted spectrum flux is 8906.997 Oct 26 11:24: Total unweighted spectrum flux is 3517.544 Oct 26 11:24: EXTRACT: Aperture 109 variance spectrum bias factor is 0.3949192 Oct 26 11:24: EXTRACT: WARNING - Aperture 110: Oct 26 11:24: Total variance weighted spectrum flux is 3971.722 Oct 26 11:24: Total unweighted spectrum flux is 1858.541 Oct 26 11:24: EXTRACT: Aperture 110 variance spectrum bias factor is 0.4679434 Oct 26 11:24: EXTRACT: WARNING - Aperture 111: Oct 26 11:24: Total variance weighted spectrum flux is 5900.368 Oct 26 11:24: Total unweighted spectrum flux is 2711.307 Oct 26 11:24: EXTRACT: Aperture 111 variance spectrum bias factor is 0.4595149 Oct 26 11:24: EXTRACT: WARNING - Aperture 112: Oct 26 11:24: Total variance weighted spectrum flux is 6192.785 Oct 26 11:24: Total unweighted spectrum flux is 1687.736 Oct 26 11:24: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2725326 Oct 26 11:24: EXTRACT: WARNING - Aperture 113: Oct 26 11:24: Total variance weighted spectrum flux is 2967.006 Oct 26 11:24: Total unweighted spectrum flux is 956.6741 Oct 26 11:24: EXTRACT: Aperture 113 variance spectrum bias factor is 0.3224376 Oct 26 11:24: EXTRACT: WARNING - Aperture 114: Oct 26 11:24: Total variance weighted spectrum flux is 689.9838 Oct 26 11:24: Total unweighted spectrum flux is -596.1569 Oct 26 11:24: Variance spectrum bias factor ignored Oct 26 11:24: EXTRACT: WARNING - Aperture 115: Oct 26 11:24: Total variance weighted spectrum flux is 4406.999 Oct 26 11:24: Total unweighted spectrum flux is 1922.77 Oct 26 11:24: EXTRACT: Aperture 115 variance spectrum bias factor is 0.4362992 Resampling the object by a factor of 4 in the y direction... 151025.0020 Magnify image 151025.0020 to image 151025.0020. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 151025.0020,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 151025.0020 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 151025.0020 -> noscat151025.0020 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Oct 26 11:25: EXTRACT: WARNING - Aperture 112: Oct 26 11:25: Total variance weighted spectrum flux is 3041.629 Oct 26 11:25: Total unweighted spectrum flux is 1342.198 Oct 26 11:25: EXTRACT: Aperture 112 variance spectrum bias factor is 0.4412761 Resampling the object by a factor of 4 in the y direction... 151025.0021 Magnify image 151025.0021 to image 151025.0021. 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 151025.0021,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 151025.0021 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 151025.0021 -> noscat151025.0021 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Oct 26 11:26: EXTRACT: WARNING - Aperture 107: Oct 26 11:26: Total variance weighted spectrum flux is 10359.46 Oct 26 11:26: Total unweighted spectrum flux is 4948.78 Oct 26 11:26: EXTRACT: Aperture 107 variance spectrum bias factor is 0.4777062 Oct 26 11:26: EXTRACT: WARNING - Aperture 110: Oct 26 11:26: Total variance weighted spectrum flux is 3920.449 Oct 26 11:26: Total unweighted spectrum flux is 1812.334 Oct 26 11:26: EXTRACT: Aperture 110 variance spectrum bias factor is 0.4622771 Oct 26 11:26: EXTRACT: WARNING - Aperture 113: Oct 26 11:26: Total variance weighted spectrum flux is 5096.873 Oct 26 11:26: Total unweighted spectrum flux is 2389.736 Oct 26 11:26: EXTRACT: Aperture 113 variance spectrum bias factor is 0.4688632 Resampling the object by a factor of 4 in the y direction... 151025.0022 Magnify image 151025.0022 to image 151025.0022. 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 151025.0022,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 151025.0022 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 151025.0022 -> noscat151025.0022 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Oct 26 11:27: EXTRACT: WARNING - Aperture 102: Oct 26 11:27: Total variance weighted spectrum flux is 9728.181 Oct 26 11:27: Total unweighted spectrum flux is 2125.894 Oct 26 11:27: EXTRACT: Aperture 102 variance spectrum bias factor is 0.2185294 Oct 26 11:27: EXTRACT: WARNING - Aperture 105: Oct 26 11:27: Total variance weighted spectrum flux is 5352.685 Oct 26 11:27: Total unweighted spectrum flux is 2629.142 Oct 26 11:27: EXTRACT: Aperture 105 variance spectrum bias factor is 0.491182 Oct 26 11:27: EXTRACT: WARNING - Aperture 107: Oct 26 11:27: Total variance weighted spectrum flux is 7133.728 Oct 26 11:27: Total unweighted spectrum flux is 3212.685 Oct 26 11:27: EXTRACT: Aperture 107 variance spectrum bias factor is 0.4503515 Oct 26 11:27: EXTRACT: WARNING - Aperture 108: Oct 26 11:27: Total variance weighted spectrum flux is 10049.57 Oct 26 11:27: Total unweighted spectrum flux is 4400.857 Oct 26 11:27: EXTRACT: Aperture 108 variance spectrum bias factor is 0.4379148 Oct 26 11:27: EXTRACT: WARNING - Aperture 109: Oct 26 11:27: Total variance weighted spectrum flux is 3410.153 Oct 26 11:27: Total unweighted spectrum flux is 728.1345 Oct 26 11:27: EXTRACT: Aperture 109 variance spectrum bias factor is 0.2135196 Oct 26 11:27: EXTRACT: WARNING - Aperture 110: Oct 26 11:27: Total variance weighted spectrum flux is 2839.446 Oct 26 11:27: Total unweighted spectrum flux is 910.1941 Oct 26 11:27: EXTRACT: Aperture 110 variance spectrum bias factor is 0.3205534 Oct 26 11:27: EXTRACT: WARNING - Aperture 111: Oct 26 11:27: Total variance weighted spectrum flux is 4944.976 Oct 26 11:27: Total unweighted spectrum flux is 1820.774 Oct 26 11:27: EXTRACT: Aperture 111 variance spectrum bias factor is 0.3682067 Oct 26 11:27: EXTRACT: WARNING - Aperture 112: Oct 26 11:27: Total variance weighted spectrum flux is 2644.294 Oct 26 11:27: Total unweighted spectrum flux is 940.3948 Oct 26 11:27: EXTRACT: Aperture 112 variance spectrum bias factor is 0.3556317 Oct 26 11:27: EXTRACT: WARNING - Aperture 113: Oct 26 11:27: Total variance weighted spectrum flux is 5412.472 Oct 26 11:27: Total unweighted spectrum flux is -519.3779 Oct 26 11:27: Variance spectrum bias factor ignored Oct 26 11:27: EXTRACT: WARNING - Aperture 115: Oct 26 11:27: Total variance weighted spectrum flux is 3190.776 Oct 26 11:27: Total unweighted spectrum flux is 101.8777 Oct 26 11:27: EXTRACT: Aperture 115 variance spectrum bias factor is 0.03192883 Resampling the object by a factor of 4 in the y direction... 151025.0023 Magnify image 151025.0023 to image 151025.0023. 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 151025.0023,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 151025.0023 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 151025.0023 -> noscat151025.0023 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Oct 26 11:27: EXTRACT: WARNING - Aperture 109: Oct 26 11:27: Total variance weighted spectrum flux is 2761.354 Oct 26 11:27: Total unweighted spectrum flux is -1110.878 Oct 26 11:27: Variance spectrum bias factor ignored Oct 26 11:27: EXTRACT: WARNING - Aperture 112: Oct 26 11:27: Total variance weighted spectrum flux is 5229.273 Oct 26 11:27: Total unweighted spectrum flux is 2178.576 Oct 26 11:27: EXTRACT: Aperture 112 variance spectrum bias factor is 0.4166117 Oct 26 11:27: EXTRACT: WARNING - Aperture 113: Oct 26 11:27: Total variance weighted spectrum flux is 11200.45 Oct 26 11:27: Total unweighted spectrum flux is 4507.253 Oct 26 11:27: EXTRACT: Aperture 113 variance spectrum bias factor is 0.4024171 Resampling the object by a factor of 4 in the y direction... 151025.0024 Magnify image 151025.0024 to image 151025.0024. 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 151025.0024,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 151025.0024 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 151025.0024 -> noscat151025.0024 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 26 11:28: EXTRACT: WARNING - Aperture 1: Oct 26 11:28: Total variance weighted spectrum flux is 3382.272 Oct 26 11:28: Total unweighted spectrum flux is -11.05858 Oct 26 11:28: Variance spectrum bias factor ignored Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Oct 26 11:28: EXTRACT: WARNING - Aperture 94: Oct 26 11:28: Total variance weighted spectrum flux is 7082.997 Oct 26 11:28: Total unweighted spectrum flux is 3323.911 Oct 26 11:28: EXTRACT: Aperture 94 variance spectrum bias factor is 0.4692803 Oct 26 11:28: EXTRACT: WARNING - Aperture 103: Oct 26 11:28: Total variance weighted spectrum flux is 14551.19 Oct 26 11:28: Total unweighted spectrum flux is 6023.887 Oct 26 11:28: EXTRACT: Aperture 103 variance spectrum bias factor is 0.413979 Oct 26 11:28: EXTRACT: WARNING - Aperture 104: Oct 26 11:28: Total variance weighted spectrum flux is 15572.47 Oct 26 11:28: Total unweighted spectrum flux is 7408.517 Oct 26 11:28: EXTRACT: Aperture 104 variance spectrum bias factor is 0.4757445 Oct 26 11:28: EXTRACT: WARNING - Aperture 105: Oct 26 11:28: Total variance weighted spectrum flux is 12686.99 Oct 26 11:28: Total unweighted spectrum flux is 5618.91 Oct 26 11:28: EXTRACT: Aperture 105 variance spectrum bias factor is 0.4428876 Oct 26 11:28: EXTRACT: WARNING - Aperture 106: Oct 26 11:28: Total variance weighted spectrum flux is 8598.579 Oct 26 11:28: Total unweighted spectrum flux is 3676.516 Oct 26 11:28: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4275725 Oct 26 11:28: EXTRACT: WARNING - Aperture 107: Oct 26 11:28: Total variance weighted spectrum flux is 6568.408 Oct 26 11:28: Total unweighted spectrum flux is 3254.537 Oct 26 11:28: EXTRACT: Aperture 107 variance spectrum bias factor is 0.4954834 Oct 26 11:28: EXTRACT: WARNING - Aperture 108: Oct 26 11:28: Total variance weighted spectrum flux is 9018.468 Oct 26 11:28: Total unweighted spectrum flux is 3375.35 Oct 26 11:28: EXTRACT: Aperture 108 variance spectrum bias factor is 0.3742709 Oct 26 11:28: EXTRACT: WARNING - Aperture 109: Oct 26 11:28: Total variance weighted spectrum flux is 4141.035 Oct 26 11:28: Total unweighted spectrum flux is 1634.78 Oct 26 11:28: EXTRACT: Aperture 109 variance spectrum bias factor is 0.3947757 Oct 26 11:28: EXTRACT: WARNING - Aperture 110: Oct 26 11:28: Total variance weighted spectrum flux is 5505.455 Oct 26 11:28: Total unweighted spectrum flux is 2299.214 Oct 26 11:28: EXTRACT: Aperture 110 variance spectrum bias factor is 0.4176247 Oct 26 11:28: EXTRACT: WARNING - Aperture 111: Oct 26 11:28: Total variance weighted spectrum flux is 2895.786 Oct 26 11:28: Total unweighted spectrum flux is 618.3064 Oct 26 11:28: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2135194 Oct 26 11:28: EXTRACT: WARNING - Aperture 112: Oct 26 11:28: Total variance weighted spectrum flux is 4261.266 Oct 26 11:28: Total unweighted spectrum flux is 1336.439 Oct 26 11:28: EXTRACT: Aperture 112 variance spectrum bias factor is 0.3136249 Oct 26 11:28: EXTRACT: WARNING - Aperture 113: Oct 26 11:28: Total variance weighted spectrum flux is 8976.578 Oct 26 11:28: Total unweighted spectrum flux is 1956.25 Oct 26 11:28: EXTRACT: Aperture 113 variance spectrum bias factor is 0.2179282 Oct 26 11:28: EXTRACT: WARNING - Aperture 114: Oct 26 11:28: Total variance weighted spectrum flux is 4142.21 Oct 26 11:28: Total unweighted spectrum flux is 1839.31 Oct 26 11:28: EXTRACT: Aperture 114 variance spectrum bias factor is 0.4440407 Oct 26 11:28: EXTRACT: WARNING - Aperture 115: Oct 26 11:28: Total variance weighted spectrum flux is 2708.846 Oct 26 11:28: Total unweighted spectrum flux is 1219.182 Oct 26 11:28: EXTRACT: Aperture 115 variance spectrum bias factor is 0.4500745 Resampling the object by a factor of 4 in the y direction... 151025.0025 Magnify image 151025.0025 to image 151025.0025. 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 151025.0025,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 151025.0025 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 151025.0025 -> noscat151025.0025 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Oct 26 11:29: EXTRACT: WARNING - Aperture 100: Oct 26 11:29: Total variance weighted spectrum flux is 7592.458 Oct 26 11:29: Total unweighted spectrum flux is 3393.611 Oct 26 11:29: EXTRACT: Aperture 100 variance spectrum bias factor is 0.4469714 Oct 26 11:29: EXTRACT: WARNING - Aperture 104: Oct 26 11:29: Total variance weighted spectrum flux is 9995.802 Oct 26 11:29: Total unweighted spectrum flux is 4865.659 Oct 26 11:29: EXTRACT: Aperture 104 variance spectrum bias factor is 0.4867703 Oct 26 11:29: EXTRACT: WARNING - Aperture 105: Oct 26 11:29: Total variance weighted spectrum flux is 10731.8 Oct 26 11:29: Total unweighted spectrum flux is 4616.32 Oct 26 11:29: EXTRACT: Aperture 105 variance spectrum bias factor is 0.4301534 Oct 26 11:29: EXTRACT: WARNING - Aperture 106: Oct 26 11:29: Total variance weighted spectrum flux is 5242.62 Oct 26 11:29: Total unweighted spectrum flux is 986.0308 Oct 26 11:29: EXTRACT: Aperture 106 variance spectrum bias factor is 0.1880798 Oct 26 11:29: EXTRACT: WARNING - Aperture 107: Oct 26 11:29: Total variance weighted spectrum flux is 8110.299 Oct 26 11:29: Total unweighted spectrum flux is 2466.805 Oct 26 11:29: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3041571 Oct 26 11:29: EXTRACT: WARNING - Aperture 108: Oct 26 11:29: Total variance weighted spectrum flux is 11512.65 Oct 26 11:29: Total unweighted spectrum flux is 4159.554 Oct 26 11:29: EXTRACT: Aperture 108 variance spectrum bias factor is 0.3613029 Oct 26 11:29: EXTRACT: WARNING - Aperture 109: Oct 26 11:29: Total variance weighted spectrum flux is 5524.174 Oct 26 11:29: Total unweighted spectrum flux is 1646.505 Oct 26 11:29: EXTRACT: Aperture 109 variance spectrum bias factor is 0.2980545 Oct 26 11:29: EXTRACT: WARNING - Aperture 110: Oct 26 11:29: Total variance weighted spectrum flux is 8816.93 Oct 26 11:29: Total unweighted spectrum flux is 3147.145 Oct 26 11:29: EXTRACT: Aperture 110 variance spectrum bias factor is 0.3569435 Oct 26 11:29: EXTRACT: WARNING - Aperture 111: Oct 26 11:29: Total variance weighted spectrum flux is 6015.978 Oct 26 11:29: Total unweighted spectrum flux is -205.7802 Oct 26 11:29: Variance spectrum bias factor ignored Oct 26 11:29: EXTRACT: WARNING - Aperture 112: Oct 26 11:29: Total variance weighted spectrum flux is 5795.562 Oct 26 11:29: Total unweighted spectrum flux is 1506.045 Oct 26 11:29: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2598619 Oct 26 11:29: EXTRACT: WARNING - Aperture 113: Oct 26 11:29: Total variance weighted spectrum flux is 6412.648 Oct 26 11:29: Total unweighted spectrum flux is 773.7509 Oct 26 11:29: EXTRACT: Aperture 113 variance spectrum bias factor is 0.1206601 Oct 26 11:29: EXTRACT: WARNING - Aperture 114: Oct 26 11:29: Total variance weighted spectrum flux is 1270.204 Oct 26 11:29: Total unweighted spectrum flux is -34.86032 Oct 26 11:29: Variance spectrum bias factor ignored Oct 26 11:29: EXTRACT: WARNING - Aperture 115: Oct 26 11:29: Total variance weighted spectrum flux is 3409.991 Oct 26 11:29: Total unweighted spectrum flux is 376.6297 Oct 26 11:29: EXTRACT: Aperture 115 variance spectrum bias factor is 0.1104489 add EchelleThAr.0017.ec.fits,REFSPEC1 = EchelleThAr.0017.ec.fits EchelleThAr.0017.ec.fits updated add EchelleThAr.0026.ec.fits,REFSPEC1 = EchelleThAr.0026.ec.fits EchelleThAr.0026.ec.fits updated Flatfielding extracted arcs and object spectra... add EchelleThAr.0017.ec.fits,UTMIDDLE = 0 EchelleThAr.0017.ec.fits updated EchelleThAr.0017.ec.fits,UTMIDDLE: 0 -> 00:58:26.693800 EchelleThAr.0017.ec.fits updated add EchelleThAr.0026.ec.fits,UTMIDDLE = 0 EchelleThAr.0026.ec.fits updated EchelleThAr.0026.ec.fits,UTMIDDLE: 0 -> 06:07:15.359815 EchelleThAr.0026.ec.fits updated add 151025.0018.ec.fits,UTMIDDLE = 0 151025.0018.ec.fits updated 151025.0018.ec.fits,UTMIDDLE: 0 -> 01:14:45.981098 151025.0018.ec.fits updated add 151025.0019.ec.fits,UTMIDDLE = 0 151025.0019.ec.fits updated 151025.0019.ec.fits,UTMIDDLE: 0 -> 01:40:18.112163 151025.0019.ec.fits updated add 151025.0020.ec.fits,UTMIDDLE = 0 151025.0020.ec.fits updated 151025.0020.ec.fits,UTMIDDLE: 0 -> 02:00:33.623968 151025.0020.ec.fits updated add 151025.0021.ec.fits,UTMIDDLE = 0 151025.0021.ec.fits updated 151025.0021.ec.fits,UTMIDDLE: 0 -> 02:19:42.907468 151025.0021.ec.fits updated add 151025.0022.ec.fits,UTMIDDLE = 0 151025.0022.ec.fits updated 151025.0022.ec.fits,UTMIDDLE: 0 -> 02:42:18.029754 151025.0022.ec.fits updated add 151025.0023.ec.fits,UTMIDDLE = 0 151025.0023.ec.fits updated 151025.0023.ec.fits,UTMIDDLE: 0 -> 03:07:35.541054 151025.0023.ec.fits updated add 151025.0024.ec.fits,UTMIDDLE = 0 151025.0024.ec.fits updated 151025.0024.ec.fits,UTMIDDLE: 0 -> 05:34:10.036742 151025.0024.ec.fits updated add 151025.0025.ec.fits,UTMIDDLE = 0 151025.0025.ec.fits updated 151025.0025.ec.fits,UTMIDDLE: 0 -> 05:56:48.574895 151025.0025.ec.fits updated Setting Julian Date Keywords # Image jd hjd ljd # SETJD: Observatory parameters for Apache Point Observatory # timezone = 7 151025.0018.ec.fits 2457320.55192 2457320.55223 2457320 151025.0019.ec.fits 2457320.56965 2457320.57005 2457320 151025.0020.ec.fits 2457320.58372 2457320.58456 2457320 151025.0021.ec.fits 2457320.59702 2457320.59769 2457320 151025.0022.ec.fits 2457320.61271 2457320.61329 2457320 151025.0023.ec.fits 2457320.63027 2457320.63064 2457320 151025.0024.ec.fits 2457320.73206 2457320.73218 2457320 151025.0025.ec.fits 2457320.74778 2457320.74862 2457320 # Image UT middle effective begin middle end updated # SETAIRMASS: Observatory parameters for Apache Point Observatory # latitude = 32:46.8 151025.0018.ec.fits 1:14:46.0 1.0409 1.0344 1.0407 1.0483 yes 151025.0019.ec.fits 1:40:18.1 1.0405 1.0316 1.0403 1.0504 yes 151025.0020.ec.fits 2:00:33.6 1.0506 1.0441 1.0505 1.0576 yes 151025.0021.ec.fits 2:19:42.9 1.0864 1.0768 1.0863 1.0966 yes 151025.0022.ec.fits 2:42:18.0 1.1210 1.0997 1.1205 1.1442 yes 151025.0023.ec.fits 3:07:35.5 1.1999 1.1751 1.1995 1.2263 yes 151025.0024.ec.fits 5:34:10.0 2.1708 2.0184 2.1666 2.3400 yes 151025.0025.ec.fits 5:56:48.6 1.9299 1.8632 1.9290 2.0001 yes ECREIDENTIFY: NOAO/IRAF V2.16.1 jeanm12@tequila.nmsu.edu Mon 11:29:28 26-Oct-2015 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS EchelleThAr.0017.ec 1618/2055 1618/1618 -2.42 17.7 3.13E-5 0.014 EchelleThAr.0026.ec 1687/2055 1687/1687 -2.57 18.9 3.33E-5 0.0137 [151025.0018.ec] refspec1='EchelleThAr.0017.ec' [151025.0019.ec] refspec1='EchelleThAr.0017.ec' [151025.0020.ec] refspec1='EchelleThAr.0017.ec' [151025.0021.ec] refspec1='EchelleThAr.0017.ec' [151025.0022.ec] refspec1='EchelleThAr.0017.ec' [151025.0023.ec] refspec1='EchelleThAr.0017.ec' [151025.0024.ec] refspec1='EchelleThAr.0017.ec' [151025.0025.ec] refspec1='EchelleThAr.0017.ec' [EchelleThAr.0017.ec] refspec1='EchelleThAr.0017.ec' [EchelleThAr.0026.ec] refspec1='EchelleThAr.0026.ec' 151025.0018.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' 151025.0018.ec.fits: ap = 1, w1 = 10811.42, w2 = 10583.27, dw = -0.13827, nw = 1651 151025.0018.ec.fits: ap = 2, w1 = 10611.23, w2 = 10387.3, dw = -0.13571, nw = 1651 151025.0018.ec.fits: ap = 3, w1 = 10418.31, w2 = 10198.46, dw = -0.13324, nw = 1651 151025.0018.ec.fits: ap = 4, w1 = 10232.28, w2 = 10016.36, dw = -0.13086, nw = 1651 151025.0018.ec.fits: ap = 5, w1 = 10052.78, w2 = 9840.653, dw = -0.12856, nw = 1651 151025.0018.ec.fits: ap = 6, w1 = 9879.472, w2 = 9671.002, dw = -0.12635, nw = 1651 151025.0018.ec.fits: ap = 7, w1 = 9712.037, w2 = 9507.102, dw = -0.1242, nw = 1651 151025.0018.ec.fits: ap = 8, w1 = 9550.183, w2 = 9348.665, dw = -0.12213, nw = 1651 151025.0018.ec.fits: ap = 9, w1 = 9393.635, w2 = 9195.423, dw = -0.12013, nw = 1651 151025.0018.ec.fits: ap = 10, w1 = 9242.138, w2 = 9047.123, dw = -0.11819, nw = 1651 151025.0018.ec.fits: ap = 11, w1 = 9095.449, w2 = 8903.532, dw = -0.11631, nw = 1651 151025.0018.ec.fits: ap = 12, w1 = 8953.345, w2 = 8764.428, dw = -0.1145, nw = 1651 151025.0018.ec.fits: ap = 13, w1 = 8815.613, w2 = 8629.603, dw = -0.11273, nw = 1651 151025.0018.ec.fits: ap = 14, w1 = 8682.054, w2 = 8498.865, dw = -0.11102, nw = 1651 151025.0018.ec.fits: ap = 15, w1 = 8552.483, w2 = 8372.028, dw = -0.10937, nw = 1651 151025.0018.ec.fits: ap = 16, w1 = 8426.722, w2 = 8248.923, dw = -0.10776, nw = 1651 151025.0018.ec.fits: ap = 17, w1 = 8304.606, w2 = 8129.385, dw = -0.10619, nw = 1651 151025.0018.ec.fits: ap = 18, w1 = 8185.98, w2 = 8013.263, dw = -0.10468, nw = 1651 151025.0018.ec.fits: ap = 19, w1 = 8070.695, w2 = 7900.412, dw = -0.1032, nw = 1651 151025.0018.ec.fits: ap = 20, w1 = 7958.612, w2 = 7790.695, dw = -0.10177, nw = 1651 151025.0018.ec.fits: ap = 21, w1 = 7849.6, w2 = 7683.985, dw = -0.10037, nw = 1651 151025.0018.ec.fits: ap = 22, w1 = 7743.534, w2 = 7580.159, dw = -0.09902, nw = 1651 151025.0018.ec.fits: ap = 23, w1 = 7640.297, w2 = 7479.101, dw = -0.09769, nw = 1651 151025.0018.ec.fits: ap = 24, w1 = 7539.776, w2 = 7380.703, dw = -0.09641, nw = 1651 151025.0018.ec.fits: ap = 25, w1 = 7441.867, w2 = 7284.86, dw = -0.09516, nw = 1651 151025.0018.ec.fits: ap = 26, w1 = 7346.468, w2 = 7191.475, dw = -0.09393, nw = 1651 151025.0018.ec.fits: ap = 27, w1 = 7253.484, w2 = 7100.455, dw = -0.09274, nw = 1651 151025.0018.ec.fits: ap = 28, w1 = 7162.824, w2 = 7011.71, dw = -0.09158, nw = 1651 151025.0018.ec.fits: ap = 29, w1 = 7074.403, w2 = 6925.156, dw = -0.09045, nw = 1651 151025.0018.ec.fits: ap = 30, w1 = 6988.139, w2 = 6840.713, dw = -0.08935, nw = 1651 151025.0018.ec.fits: ap = 31, w1 = 6903.954, w2 = 6758.305, dw = -0.08827, nw = 1651 151025.0018.ec.fits: ap = 32, w1 = 6821.773, w2 = 6677.86, dw = -0.08722, nw = 1651 151025.0018.ec.fits: ap = 33, w1 = 6741.525, w2 = 6599.307, dw = -0.08619, nw = 1651 151025.0018.ec.fits: ap = 34, w1 = 6663.144, w2 = 6522.581, dw = -0.08519, nw = 1651 151025.0018.ec.fits: ap = 35, w1 = 6586.565, w2 = 6447.619, dw = -0.08421, nw = 1651 151025.0018.ec.fits: ap = 36, w1 = 6511.726, w2 = 6374.361, dw = -0.08325, nw = 1651 151025.0018.ec.fits: ap = 37, w1 = 6438.569, w2 = 6302.749, dw = -0.08232, nw = 1651 151025.0018.ec.fits: ap = 38, w1 = 6367.038, w2 = 6232.728, dw = -0.0814, nw = 1651 151025.0018.ec.fits: ap = 39, w1 = 6297.078, w2 = 6164.247, dw = -0.0805, nw = 1651 151025.0018.ec.fits: ap = 40, w1 = 6228.64, w2 = 6097.254, dw = -0.07963, nw = 1651 151025.0018.ec.fits: ap = 41, w1 = 6161.674, w2 = 6031.702, dw = -0.07877, nw = 1651 151025.0018.ec.fits: ap = 42, w1 = 6096.132, w2 = 5967.545, dw = -0.07793, nw = 1651 151025.0018.ec.fits: ap = 43, w1 = 6031.97, w2 = 5904.739, dw = -0.07711, nw = 1651 151025.0018.ec.fits: ap = 44, w1 = 5969.145, w2 = 5843.241, dw = -0.07631, nw = 1651 151025.0018.ec.fits: ap = 45, w1 = 5907.616, w2 = 5783.012, dw = -0.07552, nw = 1651 151025.0018.ec.fits: ap = 46, w1 = 5847.342, w2 = 5724.012, dw = -0.07475, nw = 1651 151025.0018.ec.fits: ap = 47, w1 = 5788.286, w2 = 5666.203, dw = -0.07399, nw = 1651 151025.0018.ec.fits: ap = 48, w1 = 5730.411, w2 = 5609.551, dw = -0.07325, nw = 1651 151025.0018.ec.fits: ap = 49, w1 = 5673.682, w2 = 5554.021, dw = -0.07252, nw = 1651 151025.0018.ec.fits: ap = 50, w1 = 5618.065, w2 = 5499.58, dw = -0.07181, nw = 1651 151025.0018.ec.fits: ap = 51, w1 = 5563.529, w2 = 5446.196, dw = -0.07111, nw = 1651 151025.0018.ec.fits: ap = 52, w1 = 5510.041, w2 = 5393.839, dw = -0.07043, nw = 1651 151025.0018.ec.fits: ap = 53, w1 = 5457.572, w2 = 5342.479, dw = -0.06975, nw = 1651 151025.0018.ec.fits: ap = 54, w1 = 5406.093, w2 = 5292.088, dw = -0.06909, nw = 1651 151025.0018.ec.fits: ap = 55, w1 = 5355.577, w2 = 5242.639, dw = -0.06845, nw = 1651 151025.0018.ec.fits: ap = 56, w1 = 5305.996, w2 = 5194.106, dw = -0.06781, nw = 1651 151025.0018.ec.fits: ap = 57, w1 = 5257.325, w2 = 5146.464, dw = -0.06719, nw = 1651 151025.0018.ec.fits: ap = 58, w1 = 5209.538, w2 = 5099.687, dw = -0.06658, nw = 1651 151025.0018.ec.fits: ap = 59, w1 = 5162.613, w2 = 5053.754, dw = -0.06598, nw = 1651 151025.0018.ec.fits: ap = 60, w1 = 5116.526, w2 = 5008.641, dw = -0.06538, nw = 1651 151025.0018.ec.fits: ap = 61, w1 = 5071.254, w2 = 4964.327, dw = -0.0648, nw = 1651 151025.0018.ec.fits: ap = 62, w1 = 5026.777, w2 = 4920.79, dw = -0.06423, nw = 1651 151025.0018.ec.fits: ap = 63, w1 = 4983.073, w2 = 4878.01, dw = -0.06367, nw = 1651 151025.0018.ec.fits: ap = 64, w1 = 4940.123, w2 = 4835.968, dw = -0.06312, nw = 1651 151025.0018.ec.fits: ap = 65, w1 = 4897.908, w2 = 4794.645, dw = -0.06258, nw = 1651 151025.0018.ec.fits: ap = 66, w1 = 4856.407, w2 = 4754.022, dw = -0.06205, nw = 1651 151025.0018.ec.fits: ap = 67, w1 = 4815.604, w2 = 4714.082, dw = -0.06153, nw = 1651 151025.0018.ec.fits: ap = 68, w1 = 4775.482, w2 = 4674.808, dw = -0.06101, nw = 1651 151025.0018.ec.fits: ap = 69, w1 = 4736.022, w2 = 4636.183, dw = -0.06051, nw = 1651 151025.0018.ec.fits: ap = 70, w1 = 4697.21, w2 = 4598.191, dw = -0.06001, nw = 1651 151025.0018.ec.fits: ap = 71, w1 = 4659.028, w2 = 4560.817, dw = -0.05952, nw = 1651 151025.0018.ec.fits: ap = 72, w1 = 4621.463, w2 = 4524.045, dw = -0.05904, nw = 1651 151025.0018.ec.fits: ap = 73, w1 = 4584.498, w2 = 4487.863, dw = -0.05857, nw = 1651 151025.0018.ec.fits: ap = 74, w1 = 4548.12, w2 = 4452.254, dw = -0.0581, nw = 1651 151025.0018.ec.fits: ap = 75, w1 = 4512.316, w2 = 4417.206, dw = -0.05764, nw = 1651 151025.0018.ec.fits: ap = 76, w1 = 4477.07, w2 = 4382.706, dw = -0.05719, nw = 1651 151025.0018.ec.fits: ap = 77, w1 = 4442.372, w2 = 4348.741, dw = -0.05675, nw = 1651 151025.0018.ec.fits: ap = 78, w1 = 4408.207, w2 = 4315.298, dw = -0.05631, nw = 1651 151025.0018.ec.fits: ap = 79, w1 = 4374.563, w2 = 4282.366, dw = -0.05588, nw = 1651 151025.0018.ec.fits: ap = 80, w1 = 4341.43, w2 = 4249.933, dw = -0.05545, nw = 1651 151025.0018.ec.fits: ap = 81, w1 = 4308.794, w2 = 4217.987, dw = -0.05503, nw = 1651 151025.0018.ec.fits: ap = 82, w1 = 4276.646, w2 = 4186.519, dw = -0.05462, nw = 1651 151025.0018.ec.fits: ap = 83, w1 = 4244.974, w2 = 4155.516, dw = -0.05422, nw = 1651 151025.0018.ec.fits: ap = 84, w1 = 4213.768, w2 = 4124.97, dw = -0.05382, nw = 1651 151025.0018.ec.fits: ap = 85, w1 = 4183.017, w2 = 4094.869, dw = -0.05342, nw = 1651 151025.0018.ec.fits: ap = 86, w1 = 4152.713, w2 = 4065.204, dw = -0.05304, nw = 1651 151025.0018.ec.fits: ap = 87, w1 = 4122.844, w2 = 4035.967, dw = -0.05265, nw = 1651 151025.0018.ec.fits: ap = 88, w1 = 4093.402, w2 = 4007.147, dw = -0.05228, nw = 1651 151025.0018.ec.fits: ap = 89, w1 = 4064.377, w2 = 3978.735, dw = -0.0519, nw = 1651 151025.0018.ec.fits: ap = 90, w1 = 4035.762, w2 = 3950.724, dw = -0.05154, nw = 1651 151025.0018.ec.fits: ap = 91, w1 = 4007.546, w2 = 3923.104, dw = -0.05118, nw = 1651 151025.0018.ec.fits: ap = 92, w1 = 3979.723, w2 = 3895.868, dw = -0.05082, nw = 1651 151025.0018.ec.fits: ap = 93, w1 = 3952.283, w2 = 3869.008, dw = -0.05047, nw = 1651 151025.0018.ec.fits: ap = 94, w1 = 3925.219, w2 = 3842.515, dw = -0.05012, nw = 1651 151025.0018.ec.fits: ap = 95, w1 = 3898.523, w2 = 3816.383, dw = -0.04978, nw = 1651 151025.0018.ec.fits: ap = 96, w1 = 3872.188, w2 = 3790.604, dw = -0.04945, nw = 1651 151025.0018.ec.fits: ap = 97, w1 = 3846.207, w2 = 3765.17, dw = -0.04911, nw = 1651 151025.0018.ec.fits: ap = 98, w1 = 3820.572, w2 = 3740.076, dw = -0.04879, nw = 1651 151025.0018.ec.fits: ap = 99, w1 = 3795.276, w2 = 3715.314, dw = -0.04846, nw = 1651 151025.0018.ec.fits: ap = 100, w1 = 3770.314, w2 = 3690.878, dw = -0.04814, nw = 1651 151025.0018.ec.fits: ap = 101, w1 = 3745.678, w2 = 3666.761, dw = -0.04783, nw = 1651 151025.0018.ec.fits: ap = 102, w1 = 3721.361, w2 = 3642.957, dw = -0.04752, nw = 1651 151025.0018.ec.fits: ap = 103, w1 = 3697.358, w2 = 3619.46, dw = -0.04721, nw = 1651 151025.0018.ec.fits: ap = 104, w1 = 3673.664, w2 = 3596.264, dw = -0.04691, nw = 1651 151025.0018.ec.fits: ap = 105, w1 = 3650.27, w2 = 3573.363, dw = -0.04661, nw = 1651 151025.0018.ec.fits: ap = 106, w1 = 3627.173, w2 = 3550.752, dw = -0.04632, nw = 1651 151025.0018.ec.fits: ap = 107, w1 = 3604.367, w2 = 3528.426, dw = -0.04603, nw = 1651 151025.0018.ec.fits: ap = 108, w1 = 3581.845, w2 = 3506.378, dw = -0.04574, nw = 1651 151025.0018.ec.fits: ap = 109, w1 = 3559.604, w2 = 3484.604, dw = -0.04545, nw = 1651 151025.0018.ec.fits: ap = 110, w1 = 3537.637, w2 = 3463.098, dw = -0.04517, nw = 1651 151025.0018.ec.fits: ap = 111, w1 = 3515.939, w2 = 3441.857, dw = -0.0449, nw = 1651 151025.0018.ec.fits: ap = 112, w1 = 3494.506, w2 = 3420.874, dw = -0.04463, nw = 1651 151025.0018.ec.fits: ap = 113, w1 = 3473.333, w2 = 3400.145, dw = -0.04436, nw = 1651 151025.0018.ec.fits: ap = 114, w1 = 3452.414, w2 = 3379.665, dw = -0.04409, nw = 1651 151025.0018.ec.fits: ap = 115, w1 = 3431.747, w2 = 3359.431, dw = -0.04383, nw = 1651 151025.0019.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' 151025.0019.ec.fits: ap = 1, w1 = 10811.42, w2 = 10583.27, dw = -0.13827, nw = 1651 151025.0019.ec.fits: ap = 2, w1 = 10611.23, w2 = 10387.3, dw = -0.13571, nw = 1651 151025.0019.ec.fits: ap = 3, w1 = 10418.31, w2 = 10198.46, dw = -0.13324, nw = 1651 151025.0019.ec.fits: ap = 4, w1 = 10232.28, w2 = 10016.36, dw = -0.13086, nw = 1651 151025.0019.ec.fits: ap = 5, w1 = 10052.78, w2 = 9840.653, dw = -0.12856, nw = 1651 151025.0019.ec.fits: ap = 6, w1 = 9879.472, w2 = 9671.002, dw = -0.12635, nw = 1651 151025.0019.ec.fits: ap = 7, w1 = 9712.037, w2 = 9507.102, dw = -0.1242, nw = 1651 151025.0019.ec.fits: ap = 8, w1 = 9550.183, w2 = 9348.665, dw = -0.12213, nw = 1651 151025.0019.ec.fits: ap = 9, w1 = 9393.635, w2 = 9195.423, dw = -0.12013, nw = 1651 151025.0019.ec.fits: ap = 10, w1 = 9242.138, w2 = 9047.123, dw = -0.11819, nw = 1651 151025.0019.ec.fits: ap = 11, w1 = 9095.449, w2 = 8903.532, dw = -0.11631, nw = 1651 151025.0019.ec.fits: ap = 12, w1 = 8953.345, w2 = 8764.428, dw = -0.1145, nw = 1651 151025.0019.ec.fits: ap = 13, w1 = 8815.613, w2 = 8629.603, dw = -0.11273, nw = 1651 151025.0019.ec.fits: ap = 14, w1 = 8682.054, w2 = 8498.865, dw = -0.11102, nw = 1651 151025.0019.ec.fits: ap = 15, w1 = 8552.483, w2 = 8372.028, dw = -0.10937, nw = 1651 151025.0019.ec.fits: ap = 16, w1 = 8426.722, w2 = 8248.923, dw = -0.10776, nw = 1651 151025.0019.ec.fits: ap = 17, w1 = 8304.606, w2 = 8129.385, dw = -0.10619, nw = 1651 151025.0019.ec.fits: ap = 18, w1 = 8185.98, w2 = 8013.263, dw = -0.10468, nw = 1651 151025.0019.ec.fits: ap = 19, w1 = 8070.695, w2 = 7900.412, dw = -0.1032, nw = 1651 151025.0019.ec.fits: ap = 20, w1 = 7958.612, w2 = 7790.695, dw = -0.10177, nw = 1651 151025.0019.ec.fits: ap = 21, w1 = 7849.6, w2 = 7683.985, dw = -0.10037, nw = 1651 151025.0019.ec.fits: ap = 22, w1 = 7743.534, w2 = 7580.159, dw = -0.09902, nw = 1651 151025.0019.ec.fits: ap = 23, w1 = 7640.297, w2 = 7479.101, dw = -0.09769, nw = 1651 151025.0019.ec.fits: ap = 24, w1 = 7539.776, w2 = 7380.703, dw = -0.09641, nw = 1651 151025.0019.ec.fits: ap = 25, w1 = 7441.867, w2 = 7284.86, dw = -0.09516, nw = 1651 151025.0019.ec.fits: ap = 26, w1 = 7346.468, w2 = 7191.475, dw = -0.09393, nw = 1651 151025.0019.ec.fits: ap = 27, w1 = 7253.484, w2 = 7100.455, dw = -0.09274, nw = 1651 151025.0019.ec.fits: ap = 28, w1 = 7162.824, w2 = 7011.71, dw = -0.09158, nw = 1651 151025.0019.ec.fits: ap = 29, w1 = 7074.403, w2 = 6925.156, dw = -0.09045, nw = 1651 151025.0019.ec.fits: ap = 30, w1 = 6988.139, w2 = 6840.713, dw = -0.08935, nw = 1651 151025.0019.ec.fits: ap = 31, w1 = 6903.954, w2 = 6758.305, dw = -0.08827, nw = 1651 151025.0019.ec.fits: ap = 32, w1 = 6821.773, w2 = 6677.86, dw = -0.08722, nw = 1651 151025.0019.ec.fits: ap = 33, w1 = 6741.525, w2 = 6599.307, dw = -0.08619, nw = 1651 151025.0019.ec.fits: ap = 34, w1 = 6663.144, w2 = 6522.581, dw = -0.08519, nw = 1651 151025.0019.ec.fits: ap = 35, w1 = 6586.565, w2 = 6447.619, dw = -0.08421, nw = 1651 151025.0019.ec.fits: ap = 36, w1 = 6511.726, w2 = 6374.361, dw = -0.08325, nw = 1651 151025.0019.ec.fits: ap = 37, w1 = 6438.569, w2 = 6302.749, dw = -0.08232, nw = 1651 151025.0019.ec.fits: ap = 38, w1 = 6367.038, w2 = 6232.728, dw = -0.0814, nw = 1651 151025.0019.ec.fits: ap = 39, w1 = 6297.078, w2 = 6164.247, dw = -0.0805, nw = 1651 151025.0019.ec.fits: ap = 40, w1 = 6228.64, w2 = 6097.254, dw = -0.07963, nw = 1651 151025.0019.ec.fits: ap = 41, w1 = 6161.674, w2 = 6031.702, dw = -0.07877, nw = 1651 151025.0019.ec.fits: ap = 42, w1 = 6096.132, w2 = 5967.545, dw = -0.07793, nw = 1651 151025.0019.ec.fits: ap = 43, w1 = 6031.97, w2 = 5904.739, dw = -0.07711, nw = 1651 151025.0019.ec.fits: ap = 44, w1 = 5969.145, w2 = 5843.241, dw = -0.07631, nw = 1651 151025.0019.ec.fits: ap = 45, w1 = 5907.616, w2 = 5783.012, dw = -0.07552, nw = 1651 151025.0019.ec.fits: ap = 46, w1 = 5847.342, w2 = 5724.012, dw = -0.07475, nw = 1651 151025.0019.ec.fits: ap = 47, w1 = 5788.286, w2 = 5666.203, dw = -0.07399, nw = 1651 151025.0019.ec.fits: ap = 48, w1 = 5730.411, w2 = 5609.551, dw = -0.07325, nw = 1651 151025.0019.ec.fits: ap = 49, w1 = 5673.682, w2 = 5554.021, dw = -0.07252, nw = 1651 151025.0019.ec.fits: ap = 50, w1 = 5618.065, w2 = 5499.58, dw = -0.07181, nw = 1651 151025.0019.ec.fits: ap = 51, w1 = 5563.529, w2 = 5446.196, dw = -0.07111, nw = 1651 151025.0019.ec.fits: ap = 52, w1 = 5510.041, w2 = 5393.839, dw = -0.07043, nw = 1651 151025.0019.ec.fits: ap = 53, w1 = 5457.572, w2 = 5342.479, dw = -0.06975, nw = 1651 151025.0019.ec.fits: ap = 54, w1 = 5406.093, w2 = 5292.088, dw = -0.06909, nw = 1651 151025.0019.ec.fits: ap = 55, w1 = 5355.577, w2 = 5242.639, dw = -0.06845, nw = 1651 151025.0019.ec.fits: ap = 56, w1 = 5305.996, w2 = 5194.106, dw = -0.06781, nw = 1651 151025.0019.ec.fits: ap = 57, w1 = 5257.325, w2 = 5146.464, dw = -0.06719, nw = 1651 151025.0019.ec.fits: ap = 58, w1 = 5209.538, w2 = 5099.687, dw = -0.06658, nw = 1651 151025.0019.ec.fits: ap = 59, w1 = 5162.613, w2 = 5053.754, dw = -0.06598, nw = 1651 151025.0019.ec.fits: ap = 60, w1 = 5116.526, w2 = 5008.641, dw = -0.06538, nw = 1651 151025.0019.ec.fits: ap = 61, w1 = 5071.254, w2 = 4964.327, dw = -0.0648, nw = 1651 151025.0019.ec.fits: ap = 62, w1 = 5026.777, w2 = 4920.79, dw = -0.06423, nw = 1651 151025.0019.ec.fits: ap = 63, w1 = 4983.073, w2 = 4878.01, dw = -0.06367, nw = 1651 151025.0019.ec.fits: ap = 64, w1 = 4940.123, w2 = 4835.968, dw = -0.06312, nw = 1651 151025.0019.ec.fits: ap = 65, w1 = 4897.908, w2 = 4794.645, dw = -0.06258, nw = 1651 151025.0019.ec.fits: ap = 66, w1 = 4856.407, w2 = 4754.022, dw = -0.06205, nw = 1651 151025.0019.ec.fits: ap = 67, w1 = 4815.604, w2 = 4714.082, dw = -0.06153, nw = 1651 151025.0019.ec.fits: ap = 68, w1 = 4775.482, w2 = 4674.808, dw = -0.06101, nw = 1651 151025.0019.ec.fits: ap = 69, w1 = 4736.022, w2 = 4636.183, dw = -0.06051, nw = 1651 151025.0019.ec.fits: ap = 70, w1 = 4697.21, w2 = 4598.191, dw = -0.06001, nw = 1651 151025.0019.ec.fits: ap = 71, w1 = 4659.028, w2 = 4560.817, dw = -0.05952, nw = 1651 151025.0019.ec.fits: ap = 72, w1 = 4621.463, w2 = 4524.045, dw = -0.05904, nw = 1651 151025.0019.ec.fits: ap = 73, w1 = 4584.498, w2 = 4487.863, dw = -0.05857, nw = 1651 151025.0019.ec.fits: ap = 74, w1 = 4548.12, w2 = 4452.254, dw = -0.0581, nw = 1651 151025.0019.ec.fits: ap = 75, w1 = 4512.316, w2 = 4417.206, dw = -0.05764, nw = 1651 151025.0019.ec.fits: ap = 76, w1 = 4477.07, w2 = 4382.706, dw = -0.05719, nw = 1651 151025.0019.ec.fits: ap = 77, w1 = 4442.372, w2 = 4348.741, dw = -0.05675, nw = 1651 151025.0019.ec.fits: ap = 78, w1 = 4408.207, w2 = 4315.298, dw = -0.05631, nw = 1651 151025.0019.ec.fits: ap = 79, w1 = 4374.563, w2 = 4282.366, dw = -0.05588, nw = 1651 151025.0019.ec.fits: ap = 80, w1 = 4341.43, w2 = 4249.933, dw = -0.05545, nw = 1651 151025.0019.ec.fits: ap = 81, w1 = 4308.794, w2 = 4217.987, dw = -0.05503, nw = 1651 151025.0019.ec.fits: ap = 82, w1 = 4276.646, w2 = 4186.519, dw = -0.05462, nw = 1651 151025.0019.ec.fits: ap = 83, w1 = 4244.974, w2 = 4155.516, dw = -0.05422, nw = 1651 151025.0019.ec.fits: ap = 84, w1 = 4213.768, w2 = 4124.97, dw = -0.05382, nw = 1651 151025.0019.ec.fits: ap = 85, w1 = 4183.017, w2 = 4094.869, dw = -0.05342, nw = 1651 151025.0019.ec.fits: ap = 86, w1 = 4152.713, w2 = 4065.204, dw = -0.05304, nw = 1651 151025.0019.ec.fits: ap = 87, w1 = 4122.844, w2 = 4035.967, dw = -0.05265, nw = 1651 151025.0019.ec.fits: ap = 88, w1 = 4093.402, w2 = 4007.147, dw = -0.05228, nw = 1651 151025.0019.ec.fits: ap = 89, w1 = 4064.377, w2 = 3978.735, dw = -0.0519, nw = 1651 151025.0019.ec.fits: ap = 90, w1 = 4035.762, w2 = 3950.724, dw = -0.05154, nw = 1651 151025.0019.ec.fits: ap = 91, w1 = 4007.546, w2 = 3923.104, dw = -0.05118, nw = 1651 151025.0019.ec.fits: ap = 92, w1 = 3979.723, w2 = 3895.868, dw = -0.05082, nw = 1651 151025.0019.ec.fits: ap = 93, w1 = 3952.283, w2 = 3869.008, dw = -0.05047, nw = 1651 151025.0019.ec.fits: ap = 94, w1 = 3925.219, w2 = 3842.515, dw = -0.05012, nw = 1651 151025.0019.ec.fits: ap = 95, w1 = 3898.523, w2 = 3816.383, dw = -0.04978, nw = 1651 151025.0019.ec.fits: ap = 96, w1 = 3872.188, w2 = 3790.604, dw = -0.04945, nw = 1651 151025.0019.ec.fits: ap = 97, w1 = 3846.207, w2 = 3765.17, dw = -0.04911, nw = 1651 151025.0019.ec.fits: ap = 98, w1 = 3820.572, w2 = 3740.076, dw = -0.04879, nw = 1651 151025.0019.ec.fits: ap = 99, w1 = 3795.276, w2 = 3715.314, dw = -0.04846, nw = 1651 151025.0019.ec.fits: ap = 100, w1 = 3770.314, w2 = 3690.878, dw = -0.04814, nw = 1651 151025.0019.ec.fits: ap = 101, w1 = 3745.678, w2 = 3666.761, dw = -0.04783, nw = 1651 151025.0019.ec.fits: ap = 102, w1 = 3721.361, w2 = 3642.957, dw = -0.04752, nw = 1651 151025.0019.ec.fits: ap = 103, w1 = 3697.358, w2 = 3619.46, dw = -0.04721, nw = 1651 151025.0019.ec.fits: ap = 104, w1 = 3673.664, w2 = 3596.264, dw = -0.04691, nw = 1651 151025.0019.ec.fits: ap = 105, w1 = 3650.27, w2 = 3573.363, dw = -0.04661, nw = 1651 151025.0019.ec.fits: ap = 106, w1 = 3627.173, w2 = 3550.752, dw = -0.04632, nw = 1651 151025.0019.ec.fits: ap = 107, w1 = 3604.367, w2 = 3528.426, dw = -0.04603, nw = 1651 151025.0019.ec.fits: ap = 108, w1 = 3581.845, w2 = 3506.378, dw = -0.04574, nw = 1651 151025.0019.ec.fits: ap = 109, w1 = 3559.604, w2 = 3484.604, dw = -0.04545, nw = 1651 151025.0019.ec.fits: ap = 110, w1 = 3537.637, w2 = 3463.098, dw = -0.04517, nw = 1651 151025.0019.ec.fits: ap = 111, w1 = 3515.939, w2 = 3441.857, dw = -0.0449, nw = 1651 151025.0019.ec.fits: ap = 112, w1 = 3494.506, w2 = 3420.874, dw = -0.04463, nw = 1651 151025.0019.ec.fits: ap = 113, w1 = 3473.333, w2 = 3400.145, dw = -0.04436, nw = 1651 151025.0019.ec.fits: ap = 114, w1 = 3452.414, w2 = 3379.665, dw = -0.04409, nw = 1651 151025.0019.ec.fits: ap = 115, w1 = 3431.747, w2 = 3359.431, dw = -0.04383, nw = 1651 151025.0020.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' 151025.0020.ec.fits: ap = 1, w1 = 10811.42, w2 = 10583.27, dw = -0.13827, nw = 1651 151025.0020.ec.fits: ap = 2, w1 = 10611.23, w2 = 10387.3, dw = -0.13571, nw = 1651 151025.0020.ec.fits: ap = 3, w1 = 10418.31, w2 = 10198.46, dw = -0.13324, nw = 1651 151025.0020.ec.fits: ap = 4, w1 = 10232.28, w2 = 10016.36, dw = -0.13086, nw = 1651 151025.0020.ec.fits: ap = 5, w1 = 10052.78, w2 = 9840.653, dw = -0.12856, nw = 1651 151025.0020.ec.fits: ap = 6, w1 = 9879.472, w2 = 9671.002, dw = -0.12635, nw = 1651 151025.0020.ec.fits: ap = 7, w1 = 9712.037, w2 = 9507.102, dw = -0.1242, nw = 1651 151025.0020.ec.fits: ap = 8, w1 = 9550.183, w2 = 9348.665, dw = -0.12213, nw = 1651 151025.0020.ec.fits: ap = 9, w1 = 9393.635, w2 = 9195.423, dw = -0.12013, nw = 1651 151025.0020.ec.fits: ap = 10, w1 = 9242.138, w2 = 9047.123, dw = -0.11819, nw = 1651 151025.0020.ec.fits: ap = 11, w1 = 9095.449, w2 = 8903.532, dw = -0.11631, nw = 1651 151025.0020.ec.fits: ap = 12, w1 = 8953.345, w2 = 8764.428, dw = -0.1145, nw = 1651 151025.0020.ec.fits: ap = 13, w1 = 8815.613, w2 = 8629.603, dw = -0.11273, nw = 1651 151025.0020.ec.fits: ap = 14, w1 = 8682.054, w2 = 8498.865, dw = -0.11102, nw = 1651 151025.0020.ec.fits: ap = 15, w1 = 8552.483, w2 = 8372.028, dw = -0.10937, nw = 1651 151025.0020.ec.fits: ap = 16, w1 = 8426.722, w2 = 8248.923, dw = -0.10776, nw = 1651 151025.0020.ec.fits: ap = 17, w1 = 8304.606, w2 = 8129.385, dw = -0.10619, nw = 1651 151025.0020.ec.fits: ap = 18, w1 = 8185.98, w2 = 8013.263, dw = -0.10468, nw = 1651 151025.0020.ec.fits: ap = 19, w1 = 8070.695, w2 = 7900.412, dw = -0.1032, nw = 1651 151025.0020.ec.fits: ap = 20, w1 = 7958.612, w2 = 7790.695, dw = -0.10177, nw = 1651 151025.0020.ec.fits: ap = 21, w1 = 7849.6, w2 = 7683.985, dw = -0.10037, nw = 1651 151025.0020.ec.fits: ap = 22, w1 = 7743.534, w2 = 7580.159, dw = -0.09902, nw = 1651 151025.0020.ec.fits: ap = 23, w1 = 7640.297, w2 = 7479.101, dw = -0.09769, nw = 1651 151025.0020.ec.fits: ap = 24, w1 = 7539.776, w2 = 7380.703, dw = -0.09641, nw = 1651 151025.0020.ec.fits: ap = 25, w1 = 7441.867, w2 = 7284.86, dw = -0.09516, nw = 1651 151025.0020.ec.fits: ap = 26, w1 = 7346.468, w2 = 7191.475, dw = -0.09393, nw = 1651 151025.0020.ec.fits: ap = 27, w1 = 7253.484, w2 = 7100.455, dw = -0.09274, nw = 1651 151025.0020.ec.fits: ap = 28, w1 = 7162.824, w2 = 7011.71, dw = -0.09158, nw = 1651 151025.0020.ec.fits: ap = 29, w1 = 7074.403, w2 = 6925.156, dw = -0.09045, nw = 1651 151025.0020.ec.fits: ap = 30, w1 = 6988.139, w2 = 6840.713, dw = -0.08935, nw = 1651 151025.0020.ec.fits: ap = 31, w1 = 6903.954, w2 = 6758.305, dw = -0.08827, nw = 1651 151025.0020.ec.fits: ap = 32, w1 = 6821.773, w2 = 6677.86, dw = -0.08722, nw = 1651 151025.0020.ec.fits: ap = 33, w1 = 6741.525, w2 = 6599.307, dw = -0.08619, nw = 1651 151025.0020.ec.fits: ap = 34, w1 = 6663.144, w2 = 6522.581, dw = -0.08519, nw = 1651 151025.0020.ec.fits: ap = 35, w1 = 6586.565, w2 = 6447.619, dw = -0.08421, nw = 1651 151025.0020.ec.fits: ap = 36, w1 = 6511.726, w2 = 6374.361, dw = -0.08325, nw = 1651 151025.0020.ec.fits: ap = 37, w1 = 6438.569, w2 = 6302.749, dw = -0.08232, nw = 1651 151025.0020.ec.fits: ap = 38, w1 = 6367.038, w2 = 6232.728, dw = -0.0814, nw = 1651 151025.0020.ec.fits: ap = 39, w1 = 6297.078, w2 = 6164.247, dw = -0.0805, nw = 1651 151025.0020.ec.fits: ap = 40, w1 = 6228.64, w2 = 6097.254, dw = -0.07963, nw = 1651 151025.0020.ec.fits: ap = 41, w1 = 6161.674, w2 = 6031.702, dw = -0.07877, nw = 1651 151025.0020.ec.fits: ap = 42, w1 = 6096.132, w2 = 5967.545, dw = -0.07793, nw = 1651 151025.0020.ec.fits: ap = 43, w1 = 6031.97, w2 = 5904.739, dw = -0.07711, nw = 1651 151025.0020.ec.fits: ap = 44, w1 = 5969.145, w2 = 5843.241, dw = -0.07631, nw = 1651 151025.0020.ec.fits: ap = 45, w1 = 5907.616, w2 = 5783.012, dw = -0.07552, nw = 1651 151025.0020.ec.fits: ap = 46, w1 = 5847.342, w2 = 5724.012, dw = -0.07475, nw = 1651 151025.0020.ec.fits: ap = 47, w1 = 5788.286, w2 = 5666.203, dw = -0.07399, nw = 1651 151025.0020.ec.fits: ap = 48, w1 = 5730.411, w2 = 5609.551, dw = -0.07325, nw = 1651 151025.0020.ec.fits: ap = 49, w1 = 5673.682, w2 = 5554.021, dw = -0.07252, nw = 1651 151025.0020.ec.fits: ap = 50, w1 = 5618.065, w2 = 5499.58, dw = -0.07181, nw = 1651 151025.0020.ec.fits: ap = 51, w1 = 5563.529, w2 = 5446.196, dw = -0.07111, nw = 1651 151025.0020.ec.fits: ap = 52, w1 = 5510.041, w2 = 5393.839, dw = -0.07043, nw = 1651 151025.0020.ec.fits: ap = 53, w1 = 5457.572, w2 = 5342.479, dw = -0.06975, nw = 1651 151025.0020.ec.fits: ap = 54, w1 = 5406.093, w2 = 5292.088, dw = -0.06909, nw = 1651 151025.0020.ec.fits: ap = 55, w1 = 5355.577, w2 = 5242.639, dw = -0.06845, nw = 1651 151025.0020.ec.fits: ap = 56, w1 = 5305.996, w2 = 5194.106, dw = -0.06781, nw = 1651 151025.0020.ec.fits: ap = 57, w1 = 5257.325, w2 = 5146.464, dw = -0.06719, nw = 1651 151025.0020.ec.fits: ap = 58, w1 = 5209.538, w2 = 5099.687, dw = -0.06658, nw = 1651 151025.0020.ec.fits: ap = 59, w1 = 5162.613, w2 = 5053.754, dw = -0.06598, nw = 1651 151025.0020.ec.fits: ap = 60, w1 = 5116.526, w2 = 5008.641, dw = -0.06538, nw = 1651 151025.0020.ec.fits: ap = 61, w1 = 5071.254, w2 = 4964.327, dw = -0.0648, nw = 1651 151025.0020.ec.fits: ap = 62, w1 = 5026.777, w2 = 4920.79, dw = -0.06423, nw = 1651 151025.0020.ec.fits: ap = 63, w1 = 4983.073, w2 = 4878.01, dw = -0.06367, nw = 1651 151025.0020.ec.fits: ap = 64, w1 = 4940.123, w2 = 4835.968, dw = -0.06312, nw = 1651 151025.0020.ec.fits: ap = 65, w1 = 4897.908, w2 = 4794.645, dw = -0.06258, nw = 1651 151025.0020.ec.fits: ap = 66, w1 = 4856.407, w2 = 4754.022, dw = -0.06205, nw = 1651 151025.0020.ec.fits: ap = 67, w1 = 4815.604, w2 = 4714.082, dw = -0.06153, nw = 1651 151025.0020.ec.fits: ap = 68, w1 = 4775.482, w2 = 4674.808, dw = -0.06101, nw = 1651 151025.0020.ec.fits: ap = 69, w1 = 4736.022, w2 = 4636.183, dw = -0.06051, nw = 1651 151025.0020.ec.fits: ap = 70, w1 = 4697.21, w2 = 4598.191, dw = -0.06001, nw = 1651 151025.0020.ec.fits: ap = 71, w1 = 4659.028, w2 = 4560.817, dw = -0.05952, nw = 1651 151025.0020.ec.fits: ap = 72, w1 = 4621.463, w2 = 4524.045, dw = -0.05904, nw = 1651 151025.0020.ec.fits: ap = 73, w1 = 4584.498, w2 = 4487.863, dw = -0.05857, nw = 1651 151025.0020.ec.fits: ap = 74, w1 = 4548.12, w2 = 4452.254, dw = -0.0581, nw = 1651 151025.0020.ec.fits: ap = 75, w1 = 4512.316, w2 = 4417.206, dw = -0.05764, nw = 1651 151025.0020.ec.fits: ap = 76, w1 = 4477.07, w2 = 4382.706, dw = -0.05719, nw = 1651 151025.0020.ec.fits: ap = 77, w1 = 4442.372, w2 = 4348.741, dw = -0.05675, nw = 1651 151025.0020.ec.fits: ap = 78, w1 = 4408.207, w2 = 4315.298, dw = -0.05631, nw = 1651 151025.0020.ec.fits: ap = 79, w1 = 4374.563, w2 = 4282.366, dw = -0.05588, nw = 1651 151025.0020.ec.fits: ap = 80, w1 = 4341.43, w2 = 4249.933, dw = -0.05545, nw = 1651 151025.0020.ec.fits: ap = 81, w1 = 4308.794, w2 = 4217.987, dw = -0.05503, nw = 1651 151025.0020.ec.fits: ap = 82, w1 = 4276.646, w2 = 4186.519, dw = -0.05462, nw = 1651 151025.0020.ec.fits: ap = 83, w1 = 4244.974, w2 = 4155.516, dw = -0.05422, nw = 1651 151025.0020.ec.fits: ap = 84, w1 = 4213.768, w2 = 4124.97, dw = -0.05382, nw = 1651 151025.0020.ec.fits: ap = 85, w1 = 4183.017, w2 = 4094.869, dw = -0.05342, nw = 1651 151025.0020.ec.fits: ap = 86, w1 = 4152.713, w2 = 4065.204, dw = -0.05304, nw = 1651 151025.0020.ec.fits: ap = 87, w1 = 4122.844, w2 = 4035.967, dw = -0.05265, nw = 1651 151025.0020.ec.fits: ap = 88, w1 = 4093.402, w2 = 4007.147, dw = -0.05228, nw = 1651 151025.0020.ec.fits: ap = 89, w1 = 4064.377, w2 = 3978.735, dw = -0.0519, nw = 1651 151025.0020.ec.fits: ap = 90, w1 = 4035.762, w2 = 3950.724, dw = -0.05154, nw = 1651 151025.0020.ec.fits: ap = 91, w1 = 4007.546, w2 = 3923.104, dw = -0.05118, nw = 1651 151025.0020.ec.fits: ap = 92, w1 = 3979.723, w2 = 3895.868, dw = -0.05082, nw = 1651 151025.0020.ec.fits: ap = 93, w1 = 3952.283, w2 = 3869.008, dw = -0.05047, nw = 1651 151025.0020.ec.fits: ap = 94, w1 = 3925.219, w2 = 3842.515, dw = -0.05012, nw = 1651 151025.0020.ec.fits: ap = 95, w1 = 3898.523, w2 = 3816.383, dw = -0.04978, nw = 1651 151025.0020.ec.fits: ap = 96, w1 = 3872.188, w2 = 3790.604, dw = -0.04945, nw = 1651 151025.0020.ec.fits: ap = 97, w1 = 3846.207, w2 = 3765.17, dw = -0.04911, nw = 1651 151025.0020.ec.fits: ap = 98, w1 = 3820.572, w2 = 3740.076, dw = -0.04879, nw = 1651 151025.0020.ec.fits: ap = 99, w1 = 3795.276, w2 = 3715.314, dw = -0.04846, nw = 1651 151025.0020.ec.fits: ap = 100, w1 = 3770.314, w2 = 3690.878, dw = -0.04814, nw = 1651 151025.0020.ec.fits: ap = 101, w1 = 3745.678, w2 = 3666.761, dw = -0.04783, nw = 1651 151025.0020.ec.fits: ap = 102, w1 = 3721.361, w2 = 3642.957, dw = -0.04752, nw = 1651 151025.0020.ec.fits: ap = 103, w1 = 3697.358, w2 = 3619.46, dw = -0.04721, nw = 1651 151025.0020.ec.fits: ap = 104, w1 = 3673.664, w2 = 3596.264, dw = -0.04691, nw = 1651 151025.0020.ec.fits: ap = 105, w1 = 3650.27, w2 = 3573.363, dw = -0.04661, nw = 1651 151025.0020.ec.fits: ap = 106, w1 = 3627.173, w2 = 3550.752, dw = -0.04632, nw = 1651 151025.0020.ec.fits: ap = 107, w1 = 3604.367, w2 = 3528.426, dw = -0.04603, nw = 1651 151025.0020.ec.fits: ap = 108, w1 = 3581.845, w2 = 3506.378, dw = -0.04574, nw = 1651 151025.0020.ec.fits: ap = 109, w1 = 3559.604, w2 = 3484.604, dw = -0.04545, nw = 1651 151025.0020.ec.fits: ap = 110, w1 = 3537.637, w2 = 3463.098, dw = -0.04517, nw = 1651 151025.0020.ec.fits: ap = 111, w1 = 3515.939, w2 = 3441.857, dw = -0.0449, nw = 1651 151025.0020.ec.fits: ap = 112, w1 = 3494.506, w2 = 3420.874, dw = -0.04463, nw = 1651 151025.0020.ec.fits: ap = 113, w1 = 3473.333, w2 = 3400.145, dw = -0.04436, nw = 1651 151025.0020.ec.fits: ap = 114, w1 = 3452.414, w2 = 3379.665, dw = -0.04409, nw = 1651 151025.0020.ec.fits: ap = 115, w1 = 3431.747, w2 = 3359.431, dw = -0.04383, nw = 1651 151025.0021.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' 151025.0021.ec.fits: ap = 1, w1 = 10811.42, w2 = 10583.27, dw = -0.13827, nw = 1651 151025.0021.ec.fits: ap = 2, w1 = 10611.23, w2 = 10387.3, dw = -0.13571, nw = 1651 151025.0021.ec.fits: ap = 3, w1 = 10418.31, w2 = 10198.46, dw = -0.13324, nw = 1651 151025.0021.ec.fits: ap = 4, w1 = 10232.28, w2 = 10016.36, dw = -0.13086, nw = 1651 151025.0021.ec.fits: ap = 5, w1 = 10052.78, w2 = 9840.653, dw = -0.12856, nw = 1651 151025.0021.ec.fits: ap = 6, w1 = 9879.472, w2 = 9671.002, dw = -0.12635, nw = 1651 151025.0021.ec.fits: ap = 7, w1 = 9712.037, w2 = 9507.102, dw = -0.1242, nw = 1651 151025.0021.ec.fits: ap = 8, w1 = 9550.183, w2 = 9348.665, dw = -0.12213, nw = 1651 151025.0021.ec.fits: ap = 9, w1 = 9393.635, w2 = 9195.423, dw = -0.12013, nw = 1651 151025.0021.ec.fits: ap = 10, w1 = 9242.138, w2 = 9047.123, dw = -0.11819, nw = 1651 151025.0021.ec.fits: ap = 11, w1 = 9095.449, w2 = 8903.532, dw = -0.11631, nw = 1651 151025.0021.ec.fits: ap = 12, w1 = 8953.345, w2 = 8764.428, dw = -0.1145, nw = 1651 151025.0021.ec.fits: ap = 13, w1 = 8815.613, w2 = 8629.603, dw = -0.11273, nw = 1651 151025.0021.ec.fits: ap = 14, w1 = 8682.054, w2 = 8498.865, dw = -0.11102, nw = 1651 151025.0021.ec.fits: ap = 15, w1 = 8552.483, w2 = 8372.028, dw = -0.10937, nw = 1651 151025.0021.ec.fits: ap = 16, w1 = 8426.722, w2 = 8248.923, dw = -0.10776, nw = 1651 151025.0021.ec.fits: ap = 17, w1 = 8304.606, w2 = 8129.385, dw = -0.10619, nw = 1651 151025.0021.ec.fits: ap = 18, w1 = 8185.98, w2 = 8013.263, dw = -0.10468, nw = 1651 151025.0021.ec.fits: ap = 19, w1 = 8070.695, w2 = 7900.412, dw = -0.1032, nw = 1651 151025.0021.ec.fits: ap = 20, w1 = 7958.612, w2 = 7790.695, dw = -0.10177, nw = 1651 151025.0021.ec.fits: ap = 21, w1 = 7849.6, w2 = 7683.985, dw = -0.10037, nw = 1651 151025.0021.ec.fits: ap = 22, w1 = 7743.534, w2 = 7580.159, dw = -0.09902, nw = 1651 151025.0021.ec.fits: ap = 23, w1 = 7640.297, w2 = 7479.101, dw = -0.09769, nw = 1651 151025.0021.ec.fits: ap = 24, w1 = 7539.776, w2 = 7380.703, dw = -0.09641, nw = 1651 151025.0021.ec.fits: ap = 25, w1 = 7441.867, w2 = 7284.86, dw = -0.09516, nw = 1651 151025.0021.ec.fits: ap = 26, w1 = 7346.468, w2 = 7191.475, dw = -0.09393, nw = 1651 151025.0021.ec.fits: ap = 27, w1 = 7253.484, w2 = 7100.455, dw = -0.09274, nw = 1651 151025.0021.ec.fits: ap = 28, w1 = 7162.824, w2 = 7011.71, dw = -0.09158, nw = 1651 151025.0021.ec.fits: ap = 29, w1 = 7074.403, w2 = 6925.156, dw = -0.09045, nw = 1651 151025.0021.ec.fits: ap = 30, w1 = 6988.139, w2 = 6840.713, dw = -0.08935, nw = 1651 151025.0021.ec.fits: ap = 31, w1 = 6903.954, w2 = 6758.305, dw = -0.08827, nw = 1651 151025.0021.ec.fits: ap = 32, w1 = 6821.773, w2 = 6677.86, dw = -0.08722, nw = 1651 151025.0021.ec.fits: ap = 33, w1 = 6741.525, w2 = 6599.307, dw = -0.08619, nw = 1651 151025.0021.ec.fits: ap = 34, w1 = 6663.144, w2 = 6522.581, dw = -0.08519, nw = 1651 151025.0021.ec.fits: ap = 35, w1 = 6586.565, w2 = 6447.619, dw = -0.08421, nw = 1651 151025.0021.ec.fits: ap = 36, w1 = 6511.726, w2 = 6374.361, dw = -0.08325, nw = 1651 151025.0021.ec.fits: ap = 37, w1 = 6438.569, w2 = 6302.749, dw = -0.08232, nw = 1651 151025.0021.ec.fits: ap = 38, w1 = 6367.038, w2 = 6232.728, dw = -0.0814, nw = 1651 151025.0021.ec.fits: ap = 39, w1 = 6297.078, w2 = 6164.247, dw = -0.0805, nw = 1651 151025.0021.ec.fits: ap = 40, w1 = 6228.64, w2 = 6097.254, dw = -0.07963, nw = 1651 151025.0021.ec.fits: ap = 41, w1 = 6161.674, w2 = 6031.702, dw = -0.07877, nw = 1651 151025.0021.ec.fits: ap = 42, w1 = 6096.132, w2 = 5967.545, dw = -0.07793, nw = 1651 151025.0021.ec.fits: ap = 43, w1 = 6031.97, w2 = 5904.739, dw = -0.07711, nw = 1651 151025.0021.ec.fits: ap = 44, w1 = 5969.145, w2 = 5843.241, dw = -0.07631, nw = 1651 151025.0021.ec.fits: ap = 45, w1 = 5907.616, w2 = 5783.012, dw = -0.07552, nw = 1651 151025.0021.ec.fits: ap = 46, w1 = 5847.342, w2 = 5724.012, dw = -0.07475, nw = 1651 151025.0021.ec.fits: ap = 47, w1 = 5788.286, w2 = 5666.203, dw = -0.07399, nw = 1651 151025.0021.ec.fits: ap = 48, w1 = 5730.411, w2 = 5609.551, dw = -0.07325, nw = 1651 151025.0021.ec.fits: ap = 49, w1 = 5673.682, w2 = 5554.021, dw = -0.07252, nw = 1651 151025.0021.ec.fits: ap = 50, w1 = 5618.065, w2 = 5499.58, dw = -0.07181, nw = 1651 151025.0021.ec.fits: ap = 51, w1 = 5563.529, w2 = 5446.196, dw = -0.07111, nw = 1651 151025.0021.ec.fits: ap = 52, w1 = 5510.041, w2 = 5393.839, dw = -0.07043, nw = 1651 151025.0021.ec.fits: ap = 53, w1 = 5457.572, w2 = 5342.479, dw = -0.06975, nw = 1651 151025.0021.ec.fits: ap = 54, w1 = 5406.093, w2 = 5292.088, dw = -0.06909, nw = 1651 151025.0021.ec.fits: ap = 55, w1 = 5355.577, w2 = 5242.639, dw = -0.06845, nw = 1651 151025.0021.ec.fits: ap = 56, w1 = 5305.996, w2 = 5194.106, dw = -0.06781, nw = 1651 151025.0021.ec.fits: ap = 57, w1 = 5257.325, w2 = 5146.464, dw = -0.06719, nw = 1651 151025.0021.ec.fits: ap = 58, w1 = 5209.538, w2 = 5099.687, dw = -0.06658, nw = 1651 151025.0021.ec.fits: ap = 59, w1 = 5162.613, w2 = 5053.754, dw = -0.06598, nw = 1651 151025.0021.ec.fits: ap = 60, w1 = 5116.526, w2 = 5008.641, dw = -0.06538, nw = 1651 151025.0021.ec.fits: ap = 61, w1 = 5071.254, w2 = 4964.327, dw = -0.0648, nw = 1651 151025.0021.ec.fits: ap = 62, w1 = 5026.777, w2 = 4920.79, dw = -0.06423, nw = 1651 151025.0021.ec.fits: ap = 63, w1 = 4983.073, w2 = 4878.01, dw = -0.06367, nw = 1651 151025.0021.ec.fits: ap = 64, w1 = 4940.123, w2 = 4835.968, dw = -0.06312, nw = 1651 151025.0021.ec.fits: ap = 65, w1 = 4897.908, w2 = 4794.645, dw = -0.06258, nw = 1651 151025.0021.ec.fits: ap = 66, w1 = 4856.407, w2 = 4754.022, dw = -0.06205, nw = 1651 151025.0021.ec.fits: ap = 67, w1 = 4815.604, w2 = 4714.082, dw = -0.06153, nw = 1651 151025.0021.ec.fits: ap = 68, w1 = 4775.482, w2 = 4674.808, dw = -0.06101, nw = 1651 151025.0021.ec.fits: ap = 69, w1 = 4736.022, w2 = 4636.183, dw = -0.06051, nw = 1651 151025.0021.ec.fits: ap = 70, w1 = 4697.21, w2 = 4598.191, dw = -0.06001, nw = 1651 151025.0021.ec.fits: ap = 71, w1 = 4659.028, w2 = 4560.817, dw = -0.05952, nw = 1651 151025.0021.ec.fits: ap = 72, w1 = 4621.463, w2 = 4524.045, dw = -0.05904, nw = 1651 151025.0021.ec.fits: ap = 73, w1 = 4584.498, w2 = 4487.863, dw = -0.05857, nw = 1651 151025.0021.ec.fits: ap = 74, w1 = 4548.12, w2 = 4452.254, dw = -0.0581, nw = 1651 151025.0021.ec.fits: ap = 75, w1 = 4512.316, w2 = 4417.206, dw = -0.05764, nw = 1651 151025.0021.ec.fits: ap = 76, w1 = 4477.07, w2 = 4382.706, dw = -0.05719, nw = 1651 151025.0021.ec.fits: ap = 77, w1 = 4442.372, w2 = 4348.741, dw = -0.05675, nw = 1651 151025.0021.ec.fits: ap = 78, w1 = 4408.207, w2 = 4315.298, dw = -0.05631, nw = 1651 151025.0021.ec.fits: ap = 79, w1 = 4374.563, w2 = 4282.366, dw = -0.05588, nw = 1651 151025.0021.ec.fits: ap = 80, w1 = 4341.43, w2 = 4249.933, dw = -0.05545, nw = 1651 151025.0021.ec.fits: ap = 81, w1 = 4308.794, w2 = 4217.987, dw = -0.05503, nw = 1651 151025.0021.ec.fits: ap = 82, w1 = 4276.646, w2 = 4186.519, dw = -0.05462, nw = 1651 151025.0021.ec.fits: ap = 83, w1 = 4244.974, w2 = 4155.516, dw = -0.05422, nw = 1651 151025.0021.ec.fits: ap = 84, w1 = 4213.768, w2 = 4124.97, dw = -0.05382, nw = 1651 151025.0021.ec.fits: ap = 85, w1 = 4183.017, w2 = 4094.869, dw = -0.05342, nw = 1651 151025.0021.ec.fits: ap = 86, w1 = 4152.713, w2 = 4065.204, dw = -0.05304, nw = 1651 151025.0021.ec.fits: ap = 87, w1 = 4122.844, w2 = 4035.967, dw = -0.05265, nw = 1651 151025.0021.ec.fits: ap = 88, w1 = 4093.402, w2 = 4007.147, dw = -0.05228, nw = 1651 151025.0021.ec.fits: ap = 89, w1 = 4064.377, w2 = 3978.735, dw = -0.0519, nw = 1651 151025.0021.ec.fits: ap = 90, w1 = 4035.762, w2 = 3950.724, dw = -0.05154, nw = 1651 151025.0021.ec.fits: ap = 91, w1 = 4007.546, w2 = 3923.104, dw = -0.05118, nw = 1651 151025.0021.ec.fits: ap = 92, w1 = 3979.723, w2 = 3895.868, dw = -0.05082, nw = 1651 151025.0021.ec.fits: ap = 93, w1 = 3952.283, w2 = 3869.008, dw = -0.05047, nw = 1651 151025.0021.ec.fits: ap = 94, w1 = 3925.219, w2 = 3842.515, dw = -0.05012, nw = 1651 151025.0021.ec.fits: ap = 95, w1 = 3898.523, w2 = 3816.383, dw = -0.04978, nw = 1651 151025.0021.ec.fits: ap = 96, w1 = 3872.188, w2 = 3790.604, dw = -0.04945, nw = 1651 151025.0021.ec.fits: ap = 97, w1 = 3846.207, w2 = 3765.17, dw = -0.04911, nw = 1651 151025.0021.ec.fits: ap = 98, w1 = 3820.572, w2 = 3740.076, dw = -0.04879, nw = 1651 151025.0021.ec.fits: ap = 99, w1 = 3795.276, w2 = 3715.314, dw = -0.04846, nw = 1651 151025.0021.ec.fits: ap = 100, w1 = 3770.314, w2 = 3690.878, dw = -0.04814, nw = 1651 151025.0021.ec.fits: ap = 101, w1 = 3745.678, w2 = 3666.761, dw = -0.04783, nw = 1651 151025.0021.ec.fits: ap = 102, w1 = 3721.361, w2 = 3642.957, dw = -0.04752, nw = 1651 151025.0021.ec.fits: ap = 103, w1 = 3697.358, w2 = 3619.46, dw = -0.04721, nw = 1651 151025.0021.ec.fits: ap = 104, w1 = 3673.664, w2 = 3596.264, dw = -0.04691, nw = 1651 151025.0021.ec.fits: ap = 105, w1 = 3650.27, w2 = 3573.363, dw = -0.04661, nw = 1651 151025.0021.ec.fits: ap = 106, w1 = 3627.173, w2 = 3550.752, dw = -0.04632, nw = 1651 151025.0021.ec.fits: ap = 107, w1 = 3604.367, w2 = 3528.426, dw = -0.04603, nw = 1651 151025.0021.ec.fits: ap = 108, w1 = 3581.845, w2 = 3506.378, dw = -0.04574, nw = 1651 151025.0021.ec.fits: ap = 109, w1 = 3559.604, w2 = 3484.604, dw = -0.04545, nw = 1651 151025.0021.ec.fits: ap = 110, w1 = 3537.637, w2 = 3463.098, dw = -0.04517, nw = 1651 151025.0021.ec.fits: ap = 111, w1 = 3515.939, w2 = 3441.857, dw = -0.0449, nw = 1651 151025.0021.ec.fits: ap = 112, w1 = 3494.506, w2 = 3420.874, dw = -0.04463, nw = 1651 151025.0021.ec.fits: ap = 113, w1 = 3473.333, w2 = 3400.145, dw = -0.04436, nw = 1651 151025.0021.ec.fits: ap = 114, w1 = 3452.414, w2 = 3379.665, dw = -0.04409, nw = 1651 151025.0021.ec.fits: ap = 115, w1 = 3431.747, w2 = 3359.431, dw = -0.04383, nw = 1651 151025.0022.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' 151025.0022.ec.fits: ap = 1, w1 = 10811.42, w2 = 10583.27, dw = -0.13827, nw = 1651 151025.0022.ec.fits: ap = 2, w1 = 10611.23, w2 = 10387.3, dw = -0.13571, nw = 1651 151025.0022.ec.fits: ap = 3, w1 = 10418.31, w2 = 10198.46, dw = -0.13324, nw = 1651 151025.0022.ec.fits: ap = 4, w1 = 10232.28, w2 = 10016.36, dw = -0.13086, nw = 1651 151025.0022.ec.fits: ap = 5, w1 = 10052.78, w2 = 9840.653, dw = -0.12856, nw = 1651 151025.0022.ec.fits: ap = 6, w1 = 9879.472, w2 = 9671.002, dw = -0.12635, nw = 1651 151025.0022.ec.fits: ap = 7, w1 = 9712.037, w2 = 9507.102, dw = -0.1242, nw = 1651 151025.0022.ec.fits: ap = 8, w1 = 9550.183, w2 = 9348.665, dw = -0.12213, nw = 1651 151025.0022.ec.fits: ap = 9, w1 = 9393.635, w2 = 9195.423, dw = -0.12013, nw = 1651 151025.0022.ec.fits: ap = 10, w1 = 9242.138, w2 = 9047.123, dw = -0.11819, nw = 1651 151025.0022.ec.fits: ap = 11, w1 = 9095.449, w2 = 8903.532, dw = -0.11631, nw = 1651 151025.0022.ec.fits: ap = 12, w1 = 8953.345, w2 = 8764.428, dw = -0.1145, nw = 1651 151025.0022.ec.fits: ap = 13, w1 = 8815.613, w2 = 8629.603, dw = -0.11273, nw = 1651 151025.0022.ec.fits: ap = 14, w1 = 8682.054, w2 = 8498.865, dw = -0.11102, nw = 1651 151025.0022.ec.fits: ap = 15, w1 = 8552.483, w2 = 8372.028, dw = -0.10937, nw = 1651 151025.0022.ec.fits: ap = 16, w1 = 8426.722, w2 = 8248.923, dw = -0.10776, nw = 1651 151025.0022.ec.fits: ap = 17, w1 = 8304.606, w2 = 8129.385, dw = -0.10619, nw = 1651 151025.0022.ec.fits: ap = 18, w1 = 8185.98, w2 = 8013.263, dw = -0.10468, nw = 1651 151025.0022.ec.fits: ap = 19, w1 = 8070.695, w2 = 7900.412, dw = -0.1032, nw = 1651 151025.0022.ec.fits: ap = 20, w1 = 7958.612, w2 = 7790.695, dw = -0.10177, nw = 1651 151025.0022.ec.fits: ap = 21, w1 = 7849.6, w2 = 7683.985, dw = -0.10037, nw = 1651 151025.0022.ec.fits: ap = 22, w1 = 7743.534, w2 = 7580.159, dw = -0.09902, nw = 1651 151025.0022.ec.fits: ap = 23, w1 = 7640.297, w2 = 7479.101, dw = -0.09769, nw = 1651 151025.0022.ec.fits: ap = 24, w1 = 7539.776, w2 = 7380.703, dw = -0.09641, nw = 1651 151025.0022.ec.fits: ap = 25, w1 = 7441.867, w2 = 7284.86, dw = -0.09516, nw = 1651 151025.0022.ec.fits: ap = 26, w1 = 7346.468, w2 = 7191.475, dw = -0.09393, nw = 1651 151025.0022.ec.fits: ap = 27, w1 = 7253.484, w2 = 7100.455, dw = -0.09274, nw = 1651 151025.0022.ec.fits: ap = 28, w1 = 7162.824, w2 = 7011.71, dw = -0.09158, nw = 1651 151025.0022.ec.fits: ap = 29, w1 = 7074.403, w2 = 6925.156, dw = -0.09045, nw = 1651 151025.0022.ec.fits: ap = 30, w1 = 6988.139, w2 = 6840.713, dw = -0.08935, nw = 1651 151025.0022.ec.fits: ap = 31, w1 = 6903.954, w2 = 6758.305, dw = -0.08827, nw = 1651 151025.0022.ec.fits: ap = 32, w1 = 6821.773, w2 = 6677.86, dw = -0.08722, nw = 1651 151025.0022.ec.fits: ap = 33, w1 = 6741.525, w2 = 6599.307, dw = -0.08619, nw = 1651 151025.0022.ec.fits: ap = 34, w1 = 6663.144, w2 = 6522.581, dw = -0.08519, nw = 1651 151025.0022.ec.fits: ap = 35, w1 = 6586.565, w2 = 6447.619, dw = -0.08421, nw = 1651 151025.0022.ec.fits: ap = 36, w1 = 6511.726, w2 = 6374.361, dw = -0.08325, nw = 1651 151025.0022.ec.fits: ap = 37, w1 = 6438.569, w2 = 6302.749, dw = -0.08232, nw = 1651 151025.0022.ec.fits: ap = 38, w1 = 6367.038, w2 = 6232.728, dw = -0.0814, nw = 1651 151025.0022.ec.fits: ap = 39, w1 = 6297.078, w2 = 6164.247, dw = -0.0805, nw = 1651 151025.0022.ec.fits: ap = 40, w1 = 6228.64, w2 = 6097.254, dw = -0.07963, nw = 1651 151025.0022.ec.fits: ap = 41, w1 = 6161.674, w2 = 6031.702, dw = -0.07877, nw = 1651 151025.0022.ec.fits: ap = 42, w1 = 6096.132, w2 = 5967.545, dw = -0.07793, nw = 1651 151025.0022.ec.fits: ap = 43, w1 = 6031.97, w2 = 5904.739, dw = -0.07711, nw = 1651 151025.0022.ec.fits: ap = 44, w1 = 5969.145, w2 = 5843.241, dw = -0.07631, nw = 1651 151025.0022.ec.fits: ap = 45, w1 = 5907.616, w2 = 5783.012, dw = -0.07552, nw = 1651 151025.0022.ec.fits: ap = 46, w1 = 5847.342, w2 = 5724.012, dw = -0.07475, nw = 1651 151025.0022.ec.fits: ap = 47, w1 = 5788.286, w2 = 5666.203, dw = -0.07399, nw = 1651 151025.0022.ec.fits: ap = 48, w1 = 5730.411, w2 = 5609.551, dw = -0.07325, nw = 1651 151025.0022.ec.fits: ap = 49, w1 = 5673.682, w2 = 5554.021, dw = -0.07252, nw = 1651 151025.0022.ec.fits: ap = 50, w1 = 5618.065, w2 = 5499.58, dw = -0.07181, nw = 1651 151025.0022.ec.fits: ap = 51, w1 = 5563.529, w2 = 5446.196, dw = -0.07111, nw = 1651 151025.0022.ec.fits: ap = 52, w1 = 5510.041, w2 = 5393.839, dw = -0.07043, nw = 1651 151025.0022.ec.fits: ap = 53, w1 = 5457.572, w2 = 5342.479, dw = -0.06975, nw = 1651 151025.0022.ec.fits: ap = 54, w1 = 5406.093, w2 = 5292.088, dw = -0.06909, nw = 1651 151025.0022.ec.fits: ap = 55, w1 = 5355.577, w2 = 5242.639, dw = -0.06845, nw = 1651 151025.0022.ec.fits: ap = 56, w1 = 5305.996, w2 = 5194.106, dw = -0.06781, nw = 1651 151025.0022.ec.fits: ap = 57, w1 = 5257.325, w2 = 5146.464, dw = -0.06719, nw = 1651 151025.0022.ec.fits: ap = 58, w1 = 5209.538, w2 = 5099.687, dw = -0.06658, nw = 1651 151025.0022.ec.fits: ap = 59, w1 = 5162.613, w2 = 5053.754, dw = -0.06598, nw = 1651 151025.0022.ec.fits: ap = 60, w1 = 5116.526, w2 = 5008.641, dw = -0.06538, nw = 1651 151025.0022.ec.fits: ap = 61, w1 = 5071.254, w2 = 4964.327, dw = -0.0648, nw = 1651 151025.0022.ec.fits: ap = 62, w1 = 5026.777, w2 = 4920.79, dw = -0.06423, nw = 1651 151025.0022.ec.fits: ap = 63, w1 = 4983.073, w2 = 4878.01, dw = -0.06367, nw = 1651 151025.0022.ec.fits: ap = 64, w1 = 4940.123, w2 = 4835.968, dw = -0.06312, nw = 1651 151025.0022.ec.fits: ap = 65, w1 = 4897.908, w2 = 4794.645, dw = -0.06258, nw = 1651 151025.0022.ec.fits: ap = 66, w1 = 4856.407, w2 = 4754.022, dw = -0.06205, nw = 1651 151025.0022.ec.fits: ap = 67, w1 = 4815.604, w2 = 4714.082, dw = -0.06153, nw = 1651 151025.0022.ec.fits: ap = 68, w1 = 4775.482, w2 = 4674.808, dw = -0.06101, nw = 1651 151025.0022.ec.fits: ap = 69, w1 = 4736.022, w2 = 4636.183, dw = -0.06051, nw = 1651 151025.0022.ec.fits: ap = 70, w1 = 4697.21, w2 = 4598.191, dw = -0.06001, nw = 1651 151025.0022.ec.fits: ap = 71, w1 = 4659.028, w2 = 4560.817, dw = -0.05952, nw = 1651 151025.0022.ec.fits: ap = 72, w1 = 4621.463, w2 = 4524.045, dw = -0.05904, nw = 1651 151025.0022.ec.fits: ap = 73, w1 = 4584.498, w2 = 4487.863, dw = -0.05857, nw = 1651 151025.0022.ec.fits: ap = 74, w1 = 4548.12, w2 = 4452.254, dw = -0.0581, nw = 1651 151025.0022.ec.fits: ap = 75, w1 = 4512.316, w2 = 4417.206, dw = -0.05764, nw = 1651 151025.0022.ec.fits: ap = 76, w1 = 4477.07, w2 = 4382.706, dw = -0.05719, nw = 1651 151025.0022.ec.fits: ap = 77, w1 = 4442.372, w2 = 4348.741, dw = -0.05675, nw = 1651 151025.0022.ec.fits: ap = 78, w1 = 4408.207, w2 = 4315.298, dw = -0.05631, nw = 1651 151025.0022.ec.fits: ap = 79, w1 = 4374.563, w2 = 4282.366, dw = -0.05588, nw = 1651 151025.0022.ec.fits: ap = 80, w1 = 4341.43, w2 = 4249.933, dw = -0.05545, nw = 1651 151025.0022.ec.fits: ap = 81, w1 = 4308.794, w2 = 4217.987, dw = -0.05503, nw = 1651 151025.0022.ec.fits: ap = 82, w1 = 4276.646, w2 = 4186.519, dw = -0.05462, nw = 1651 151025.0022.ec.fits: ap = 83, w1 = 4244.974, w2 = 4155.516, dw = -0.05422, nw = 1651 151025.0022.ec.fits: ap = 84, w1 = 4213.768, w2 = 4124.97, dw = -0.05382, nw = 1651 151025.0022.ec.fits: ap = 85, w1 = 4183.017, w2 = 4094.869, dw = -0.05342, nw = 1651 151025.0022.ec.fits: ap = 86, w1 = 4152.713, w2 = 4065.204, dw = -0.05304, nw = 1651 151025.0022.ec.fits: ap = 87, w1 = 4122.844, w2 = 4035.967, dw = -0.05265, nw = 1651 151025.0022.ec.fits: ap = 88, w1 = 4093.402, w2 = 4007.147, dw = -0.05228, nw = 1651 151025.0022.ec.fits: ap = 89, w1 = 4064.377, w2 = 3978.735, dw = -0.0519, nw = 1651 151025.0022.ec.fits: ap = 90, w1 = 4035.762, w2 = 3950.724, dw = -0.05154, nw = 1651 151025.0022.ec.fits: ap = 91, w1 = 4007.546, w2 = 3923.104, dw = -0.05118, nw = 1651 151025.0022.ec.fits: ap = 92, w1 = 3979.723, w2 = 3895.868, dw = -0.05082, nw = 1651 151025.0022.ec.fits: ap = 93, w1 = 3952.283, w2 = 3869.008, dw = -0.05047, nw = 1651 151025.0022.ec.fits: ap = 94, w1 = 3925.219, w2 = 3842.515, dw = -0.05012, nw = 1651 151025.0022.ec.fits: ap = 95, w1 = 3898.523, w2 = 3816.383, dw = -0.04978, nw = 1651 151025.0022.ec.fits: ap = 96, w1 = 3872.188, w2 = 3790.604, dw = -0.04945, nw = 1651 151025.0022.ec.fits: ap = 97, w1 = 3846.207, w2 = 3765.17, dw = -0.04911, nw = 1651 151025.0022.ec.fits: ap = 98, w1 = 3820.572, w2 = 3740.076, dw = -0.04879, nw = 1651 151025.0022.ec.fits: ap = 99, w1 = 3795.276, w2 = 3715.314, dw = -0.04846, nw = 1651 151025.0022.ec.fits: ap = 100, w1 = 3770.314, w2 = 3690.878, dw = -0.04814, nw = 1651 151025.0022.ec.fits: ap = 101, w1 = 3745.678, w2 = 3666.761, dw = -0.04783, nw = 1651 151025.0022.ec.fits: ap = 102, w1 = 3721.361, w2 = 3642.957, dw = -0.04752, nw = 1651 151025.0022.ec.fits: ap = 103, w1 = 3697.358, w2 = 3619.46, dw = -0.04721, nw = 1651 151025.0022.ec.fits: ap = 104, w1 = 3673.664, w2 = 3596.264, dw = -0.04691, nw = 1651 151025.0022.ec.fits: ap = 105, w1 = 3650.27, w2 = 3573.363, dw = -0.04661, nw = 1651 151025.0022.ec.fits: ap = 106, w1 = 3627.173, w2 = 3550.752, dw = -0.04632, nw = 1651 151025.0022.ec.fits: ap = 107, w1 = 3604.367, w2 = 3528.426, dw = -0.04603, nw = 1651 151025.0022.ec.fits: ap = 108, w1 = 3581.845, w2 = 3506.378, dw = -0.04574, nw = 1651 151025.0022.ec.fits: ap = 109, w1 = 3559.604, w2 = 3484.604, dw = -0.04545, nw = 1651 151025.0022.ec.fits: ap = 110, w1 = 3537.637, w2 = 3463.098, dw = -0.04517, nw = 1651 151025.0022.ec.fits: ap = 111, w1 = 3515.939, w2 = 3441.857, dw = -0.0449, nw = 1651 151025.0022.ec.fits: ap = 112, w1 = 3494.506, w2 = 3420.874, dw = -0.04463, nw = 1651 151025.0022.ec.fits: ap = 113, w1 = 3473.333, w2 = 3400.145, dw = -0.04436, nw = 1651 151025.0022.ec.fits: ap = 114, w1 = 3452.414, w2 = 3379.665, dw = -0.04409, nw = 1651 151025.0022.ec.fits: ap = 115, w1 = 3431.747, w2 = 3359.431, dw = -0.04383, nw = 1651 151025.0023.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' 151025.0023.ec.fits: ap = 1, w1 = 10811.42, w2 = 10583.27, dw = -0.13827, nw = 1651 151025.0023.ec.fits: ap = 2, w1 = 10611.23, w2 = 10387.3, dw = -0.13571, nw = 1651 151025.0023.ec.fits: ap = 3, w1 = 10418.31, w2 = 10198.46, dw = -0.13324, nw = 1651 151025.0023.ec.fits: ap = 4, w1 = 10232.28, w2 = 10016.36, dw = -0.13086, nw = 1651 151025.0023.ec.fits: ap = 5, w1 = 10052.78, w2 = 9840.653, dw = -0.12856, nw = 1651 151025.0023.ec.fits: ap = 6, w1 = 9879.472, w2 = 9671.002, dw = -0.12635, nw = 1651 151025.0023.ec.fits: ap = 7, w1 = 9712.037, w2 = 9507.102, dw = -0.1242, nw = 1651 151025.0023.ec.fits: ap = 8, w1 = 9550.183, w2 = 9348.665, dw = -0.12213, nw = 1651 151025.0023.ec.fits: ap = 9, w1 = 9393.635, w2 = 9195.423, dw = -0.12013, nw = 1651 151025.0023.ec.fits: ap = 10, w1 = 9242.138, w2 = 9047.123, dw = -0.11819, nw = 1651 151025.0023.ec.fits: ap = 11, w1 = 9095.449, w2 = 8903.532, dw = -0.11631, nw = 1651 151025.0023.ec.fits: ap = 12, w1 = 8953.345, w2 = 8764.428, dw = -0.1145, nw = 1651 151025.0023.ec.fits: ap = 13, w1 = 8815.613, w2 = 8629.603, dw = -0.11273, nw = 1651 151025.0023.ec.fits: ap = 14, w1 = 8682.054, w2 = 8498.865, dw = -0.11102, nw = 1651 151025.0023.ec.fits: ap = 15, w1 = 8552.483, w2 = 8372.028, dw = -0.10937, nw = 1651 151025.0023.ec.fits: ap = 16, w1 = 8426.722, w2 = 8248.923, dw = -0.10776, nw = 1651 151025.0023.ec.fits: ap = 17, w1 = 8304.606, w2 = 8129.385, dw = -0.10619, nw = 1651 151025.0023.ec.fits: ap = 18, w1 = 8185.98, w2 = 8013.263, dw = -0.10468, nw = 1651 151025.0023.ec.fits: ap = 19, w1 = 8070.695, w2 = 7900.412, dw = -0.1032, nw = 1651 151025.0023.ec.fits: ap = 20, w1 = 7958.612, w2 = 7790.695, dw = -0.10177, nw = 1651 151025.0023.ec.fits: ap = 21, w1 = 7849.6, w2 = 7683.985, dw = -0.10037, nw = 1651 151025.0023.ec.fits: ap = 22, w1 = 7743.534, w2 = 7580.159, dw = -0.09902, nw = 1651 151025.0023.ec.fits: ap = 23, w1 = 7640.297, w2 = 7479.101, dw = -0.09769, nw = 1651 151025.0023.ec.fits: ap = 24, w1 = 7539.776, w2 = 7380.703, dw = -0.09641, nw = 1651 151025.0023.ec.fits: ap = 25, w1 = 7441.867, w2 = 7284.86, dw = -0.09516, nw = 1651 151025.0023.ec.fits: ap = 26, w1 = 7346.468, w2 = 7191.475, dw = -0.09393, nw = 1651 151025.0023.ec.fits: ap = 27, w1 = 7253.484, w2 = 7100.455, dw = -0.09274, nw = 1651 151025.0023.ec.fits: ap = 28, w1 = 7162.824, w2 = 7011.71, dw = -0.09158, nw = 1651 151025.0023.ec.fits: ap = 29, w1 = 7074.403, w2 = 6925.156, dw = -0.09045, nw = 1651 151025.0023.ec.fits: ap = 30, w1 = 6988.139, w2 = 6840.713, dw = -0.08935, nw = 1651 151025.0023.ec.fits: ap = 31, w1 = 6903.954, w2 = 6758.305, dw = -0.08827, nw = 1651 151025.0023.ec.fits: ap = 32, w1 = 6821.773, w2 = 6677.86, dw = -0.08722, nw = 1651 151025.0023.ec.fits: ap = 33, w1 = 6741.525, w2 = 6599.307, dw = -0.08619, nw = 1651 151025.0023.ec.fits: ap = 34, w1 = 6663.144, w2 = 6522.581, dw = -0.08519, nw = 1651 151025.0023.ec.fits: ap = 35, w1 = 6586.565, w2 = 6447.619, dw = -0.08421, nw = 1651 151025.0023.ec.fits: ap = 36, w1 = 6511.726, w2 = 6374.361, dw = -0.08325, nw = 1651 151025.0023.ec.fits: ap = 37, w1 = 6438.569, w2 = 6302.749, dw = -0.08232, nw = 1651 151025.0023.ec.fits: ap = 38, w1 = 6367.038, w2 = 6232.728, dw = -0.0814, nw = 1651 151025.0023.ec.fits: ap = 39, w1 = 6297.078, w2 = 6164.247, dw = -0.0805, nw = 1651 151025.0023.ec.fits: ap = 40, w1 = 6228.64, w2 = 6097.254, dw = -0.07963, nw = 1651 151025.0023.ec.fits: ap = 41, w1 = 6161.674, w2 = 6031.702, dw = -0.07877, nw = 1651 151025.0023.ec.fits: ap = 42, w1 = 6096.132, w2 = 5967.545, dw = -0.07793, nw = 1651 151025.0023.ec.fits: ap = 43, w1 = 6031.97, w2 = 5904.739, dw = -0.07711, nw = 1651 151025.0023.ec.fits: ap = 44, w1 = 5969.145, w2 = 5843.241, dw = -0.07631, nw = 1651 151025.0023.ec.fits: ap = 45, w1 = 5907.616, w2 = 5783.012, dw = -0.07552, nw = 1651 151025.0023.ec.fits: ap = 46, w1 = 5847.342, w2 = 5724.012, dw = -0.07475, nw = 1651 151025.0023.ec.fits: ap = 47, w1 = 5788.286, w2 = 5666.203, dw = -0.07399, nw = 1651 151025.0023.ec.fits: ap = 48, w1 = 5730.411, w2 = 5609.551, dw = -0.07325, nw = 1651 151025.0023.ec.fits: ap = 49, w1 = 5673.682, w2 = 5554.021, dw = -0.07252, nw = 1651 151025.0023.ec.fits: ap = 50, w1 = 5618.065, w2 = 5499.58, dw = -0.07181, nw = 1651 151025.0023.ec.fits: ap = 51, w1 = 5563.529, w2 = 5446.196, dw = -0.07111, nw = 1651 151025.0023.ec.fits: ap = 52, w1 = 5510.041, w2 = 5393.839, dw = -0.07043, nw = 1651 151025.0023.ec.fits: ap = 53, w1 = 5457.572, w2 = 5342.479, dw = -0.06975, nw = 1651 151025.0023.ec.fits: ap = 54, w1 = 5406.093, w2 = 5292.088, dw = -0.06909, nw = 1651 151025.0023.ec.fits: ap = 55, w1 = 5355.577, w2 = 5242.639, dw = -0.06845, nw = 1651 151025.0023.ec.fits: ap = 56, w1 = 5305.996, w2 = 5194.106, dw = -0.06781, nw = 1651 151025.0023.ec.fits: ap = 57, w1 = 5257.325, w2 = 5146.464, dw = -0.06719, nw = 1651 151025.0023.ec.fits: ap = 58, w1 = 5209.538, w2 = 5099.687, dw = -0.06658, nw = 1651 151025.0023.ec.fits: ap = 59, w1 = 5162.613, w2 = 5053.754, dw = -0.06598, nw = 1651 151025.0023.ec.fits: ap = 60, w1 = 5116.526, w2 = 5008.641, dw = -0.06538, nw = 1651 151025.0023.ec.fits: ap = 61, w1 = 5071.254, w2 = 4964.327, dw = -0.0648, nw = 1651 151025.0023.ec.fits: ap = 62, w1 = 5026.777, w2 = 4920.79, dw = -0.06423, nw = 1651 151025.0023.ec.fits: ap = 63, w1 = 4983.073, w2 = 4878.01, dw = -0.06367, nw = 1651 151025.0023.ec.fits: ap = 64, w1 = 4940.123, w2 = 4835.968, dw = -0.06312, nw = 1651 151025.0023.ec.fits: ap = 65, w1 = 4897.908, w2 = 4794.645, dw = -0.06258, nw = 1651 151025.0023.ec.fits: ap = 66, w1 = 4856.407, w2 = 4754.022, dw = -0.06205, nw = 1651 151025.0023.ec.fits: ap = 67, w1 = 4815.604, w2 = 4714.082, dw = -0.06153, nw = 1651 151025.0023.ec.fits: ap = 68, w1 = 4775.482, w2 = 4674.808, dw = -0.06101, nw = 1651 151025.0023.ec.fits: ap = 69, w1 = 4736.022, w2 = 4636.183, dw = -0.06051, nw = 1651 151025.0023.ec.fits: ap = 70, w1 = 4697.21, w2 = 4598.191, dw = -0.06001, nw = 1651 151025.0023.ec.fits: ap = 71, w1 = 4659.028, w2 = 4560.817, dw = -0.05952, nw = 1651 151025.0023.ec.fits: ap = 72, w1 = 4621.463, w2 = 4524.045, dw = -0.05904, nw = 1651 151025.0023.ec.fits: ap = 73, w1 = 4584.498, w2 = 4487.863, dw = -0.05857, nw = 1651 151025.0023.ec.fits: ap = 74, w1 = 4548.12, w2 = 4452.254, dw = -0.0581, nw = 1651 151025.0023.ec.fits: ap = 75, w1 = 4512.316, w2 = 4417.206, dw = -0.05764, nw = 1651 151025.0023.ec.fits: ap = 76, w1 = 4477.07, w2 = 4382.706, dw = -0.05719, nw = 1651 151025.0023.ec.fits: ap = 77, w1 = 4442.372, w2 = 4348.741, dw = -0.05675, nw = 1651 151025.0023.ec.fits: ap = 78, w1 = 4408.207, w2 = 4315.298, dw = -0.05631, nw = 1651 151025.0023.ec.fits: ap = 79, w1 = 4374.563, w2 = 4282.366, dw = -0.05588, nw = 1651 151025.0023.ec.fits: ap = 80, w1 = 4341.43, w2 = 4249.933, dw = -0.05545, nw = 1651 151025.0023.ec.fits: ap = 81, w1 = 4308.794, w2 = 4217.987, dw = -0.05503, nw = 1651 151025.0023.ec.fits: ap = 82, w1 = 4276.646, w2 = 4186.519, dw = -0.05462, nw = 1651 151025.0023.ec.fits: ap = 83, w1 = 4244.974, w2 = 4155.516, dw = -0.05422, nw = 1651 151025.0023.ec.fits: ap = 84, w1 = 4213.768, w2 = 4124.97, dw = -0.05382, nw = 1651 151025.0023.ec.fits: ap = 85, w1 = 4183.017, w2 = 4094.869, dw = -0.05342, nw = 1651 151025.0023.ec.fits: ap = 86, w1 = 4152.713, w2 = 4065.204, dw = -0.05304, nw = 1651 151025.0023.ec.fits: ap = 87, w1 = 4122.844, w2 = 4035.967, dw = -0.05265, nw = 1651 151025.0023.ec.fits: ap = 88, w1 = 4093.402, w2 = 4007.147, dw = -0.05228, nw = 1651 151025.0023.ec.fits: ap = 89, w1 = 4064.377, w2 = 3978.735, dw = -0.0519, nw = 1651 151025.0023.ec.fits: ap = 90, w1 = 4035.762, w2 = 3950.724, dw = -0.05154, nw = 1651 151025.0023.ec.fits: ap = 91, w1 = 4007.546, w2 = 3923.104, dw = -0.05118, nw = 1651 151025.0023.ec.fits: ap = 92, w1 = 3979.723, w2 = 3895.868, dw = -0.05082, nw = 1651 151025.0023.ec.fits: ap = 93, w1 = 3952.283, w2 = 3869.008, dw = -0.05047, nw = 1651 151025.0023.ec.fits: ap = 94, w1 = 3925.219, w2 = 3842.515, dw = -0.05012, nw = 1651 151025.0023.ec.fits: ap = 95, w1 = 3898.523, w2 = 3816.383, dw = -0.04978, nw = 1651 151025.0023.ec.fits: ap = 96, w1 = 3872.188, w2 = 3790.604, dw = -0.04945, nw = 1651 151025.0023.ec.fits: ap = 97, w1 = 3846.207, w2 = 3765.17, dw = -0.04911, nw = 1651 151025.0023.ec.fits: ap = 98, w1 = 3820.572, w2 = 3740.076, dw = -0.04879, nw = 1651 151025.0023.ec.fits: ap = 99, w1 = 3795.276, w2 = 3715.314, dw = -0.04846, nw = 1651 151025.0023.ec.fits: ap = 100, w1 = 3770.314, w2 = 3690.878, dw = -0.04814, nw = 1651 151025.0023.ec.fits: ap = 101, w1 = 3745.678, w2 = 3666.761, dw = -0.04783, nw = 1651 151025.0023.ec.fits: ap = 102, w1 = 3721.361, w2 = 3642.957, dw = -0.04752, nw = 1651 151025.0023.ec.fits: ap = 103, w1 = 3697.358, w2 = 3619.46, dw = -0.04721, nw = 1651 151025.0023.ec.fits: ap = 104, w1 = 3673.664, w2 = 3596.264, dw = -0.04691, nw = 1651 151025.0023.ec.fits: ap = 105, w1 = 3650.27, w2 = 3573.363, dw = -0.04661, nw = 1651 151025.0023.ec.fits: ap = 106, w1 = 3627.173, w2 = 3550.752, dw = -0.04632, nw = 1651 151025.0023.ec.fits: ap = 107, w1 = 3604.367, w2 = 3528.426, dw = -0.04603, nw = 1651 151025.0023.ec.fits: ap = 108, w1 = 3581.845, w2 = 3506.378, dw = -0.04574, nw = 1651 151025.0023.ec.fits: ap = 109, w1 = 3559.604, w2 = 3484.604, dw = -0.04545, nw = 1651 151025.0023.ec.fits: ap = 110, w1 = 3537.637, w2 = 3463.098, dw = -0.04517, nw = 1651 151025.0023.ec.fits: ap = 111, w1 = 3515.939, w2 = 3441.857, dw = -0.0449, nw = 1651 151025.0023.ec.fits: ap = 112, w1 = 3494.506, w2 = 3420.874, dw = -0.04463, nw = 1651 151025.0023.ec.fits: ap = 113, w1 = 3473.333, w2 = 3400.145, dw = -0.04436, nw = 1651 151025.0023.ec.fits: ap = 114, w1 = 3452.414, w2 = 3379.665, dw = -0.04409, nw = 1651 151025.0023.ec.fits: ap = 115, w1 = 3431.747, w2 = 3359.431, dw = -0.04383, nw = 1651 151025.0024.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' 151025.0024.ec.fits: ap = 1, w1 = 10811.42, w2 = 10583.27, dw = -0.13827, nw = 1651 151025.0024.ec.fits: ap = 2, w1 = 10611.23, w2 = 10387.3, dw = -0.13571, nw = 1651 151025.0024.ec.fits: ap = 3, w1 = 10418.31, w2 = 10198.46, dw = -0.13324, nw = 1651 151025.0024.ec.fits: ap = 4, w1 = 10232.28, w2 = 10016.36, dw = -0.13086, nw = 1651 151025.0024.ec.fits: ap = 5, w1 = 10052.78, w2 = 9840.653, dw = -0.12856, nw = 1651 151025.0024.ec.fits: ap = 6, w1 = 9879.472, w2 = 9671.002, dw = -0.12635, nw = 1651 151025.0024.ec.fits: ap = 7, w1 = 9712.037, w2 = 9507.102, dw = -0.1242, nw = 1651 151025.0024.ec.fits: ap = 8, w1 = 9550.183, w2 = 9348.665, dw = -0.12213, nw = 1651 151025.0024.ec.fits: ap = 9, w1 = 9393.635, w2 = 9195.423, dw = -0.12013, nw = 1651 151025.0024.ec.fits: ap = 10, w1 = 9242.138, w2 = 9047.123, dw = -0.11819, nw = 1651 151025.0024.ec.fits: ap = 11, w1 = 9095.449, w2 = 8903.532, dw = -0.11631, nw = 1651 151025.0024.ec.fits: ap = 12, w1 = 8953.345, w2 = 8764.428, dw = -0.1145, nw = 1651 151025.0024.ec.fits: ap = 13, w1 = 8815.613, w2 = 8629.603, dw = -0.11273, nw = 1651 151025.0024.ec.fits: ap = 14, w1 = 8682.054, w2 = 8498.865, dw = -0.11102, nw = 1651 151025.0024.ec.fits: ap = 15, w1 = 8552.483, w2 = 8372.028, dw = -0.10937, nw = 1651 151025.0024.ec.fits: ap = 16, w1 = 8426.722, w2 = 8248.923, dw = -0.10776, nw = 1651 151025.0024.ec.fits: ap = 17, w1 = 8304.606, w2 = 8129.385, dw = -0.10619, nw = 1651 151025.0024.ec.fits: ap = 18, w1 = 8185.98, w2 = 8013.263, dw = -0.10468, nw = 1651 151025.0024.ec.fits: ap = 19, w1 = 8070.695, w2 = 7900.412, dw = -0.1032, nw = 1651 151025.0024.ec.fits: ap = 20, w1 = 7958.612, w2 = 7790.695, dw = -0.10177, nw = 1651 151025.0024.ec.fits: ap = 21, w1 = 7849.6, w2 = 7683.985, dw = -0.10037, nw = 1651 151025.0024.ec.fits: ap = 22, w1 = 7743.534, w2 = 7580.159, dw = -0.09902, nw = 1651 151025.0024.ec.fits: ap = 23, w1 = 7640.297, w2 = 7479.101, dw = -0.09769, nw = 1651 151025.0024.ec.fits: ap = 24, w1 = 7539.776, w2 = 7380.703, dw = -0.09641, nw = 1651 151025.0024.ec.fits: ap = 25, w1 = 7441.867, w2 = 7284.86, dw = -0.09516, nw = 1651 151025.0024.ec.fits: ap = 26, w1 = 7346.468, w2 = 7191.475, dw = -0.09393, nw = 1651 151025.0024.ec.fits: ap = 27, w1 = 7253.484, w2 = 7100.455, dw = -0.09274, nw = 1651 151025.0024.ec.fits: ap = 28, w1 = 7162.824, w2 = 7011.71, dw = -0.09158, nw = 1651 151025.0024.ec.fits: ap = 29, w1 = 7074.403, w2 = 6925.156, dw = -0.09045, nw = 1651 151025.0024.ec.fits: ap = 30, w1 = 6988.139, w2 = 6840.713, dw = -0.08935, nw = 1651 151025.0024.ec.fits: ap = 31, w1 = 6903.954, w2 = 6758.305, dw = -0.08827, nw = 1651 151025.0024.ec.fits: ap = 32, w1 = 6821.773, w2 = 6677.86, dw = -0.08722, nw = 1651 151025.0024.ec.fits: ap = 33, w1 = 6741.525, w2 = 6599.307, dw = -0.08619, nw = 1651 151025.0024.ec.fits: ap = 34, w1 = 6663.144, w2 = 6522.581, dw = -0.08519, nw = 1651 151025.0024.ec.fits: ap = 35, w1 = 6586.565, w2 = 6447.619, dw = -0.08421, nw = 1651 151025.0024.ec.fits: ap = 36, w1 = 6511.726, w2 = 6374.361, dw = -0.08325, nw = 1651 151025.0024.ec.fits: ap = 37, w1 = 6438.569, w2 = 6302.749, dw = -0.08232, nw = 1651 151025.0024.ec.fits: ap = 38, w1 = 6367.038, w2 = 6232.728, dw = -0.0814, nw = 1651 151025.0024.ec.fits: ap = 39, w1 = 6297.078, w2 = 6164.247, dw = -0.0805, nw = 1651 151025.0024.ec.fits: ap = 40, w1 = 6228.64, w2 = 6097.254, dw = -0.07963, nw = 1651 151025.0024.ec.fits: ap = 41, w1 = 6161.674, w2 = 6031.702, dw = -0.07877, nw = 1651 151025.0024.ec.fits: ap = 42, w1 = 6096.132, w2 = 5967.545, dw = -0.07793, nw = 1651 151025.0024.ec.fits: ap = 43, w1 = 6031.97, w2 = 5904.739, dw = -0.07711, nw = 1651 151025.0024.ec.fits: ap = 44, w1 = 5969.145, w2 = 5843.241, dw = -0.07631, nw = 1651 151025.0024.ec.fits: ap = 45, w1 = 5907.616, w2 = 5783.012, dw = -0.07552, nw = 1651 151025.0024.ec.fits: ap = 46, w1 = 5847.342, w2 = 5724.012, dw = -0.07475, nw = 1651 151025.0024.ec.fits: ap = 47, w1 = 5788.286, w2 = 5666.203, dw = -0.07399, nw = 1651 151025.0024.ec.fits: ap = 48, w1 = 5730.411, w2 = 5609.551, dw = -0.07325, nw = 1651 151025.0024.ec.fits: ap = 49, w1 = 5673.682, w2 = 5554.021, dw = -0.07252, nw = 1651 151025.0024.ec.fits: ap = 50, w1 = 5618.065, w2 = 5499.58, dw = -0.07181, nw = 1651 151025.0024.ec.fits: ap = 51, w1 = 5563.529, w2 = 5446.196, dw = -0.07111, nw = 1651 151025.0024.ec.fits: ap = 52, w1 = 5510.041, w2 = 5393.839, dw = -0.07043, nw = 1651 151025.0024.ec.fits: ap = 53, w1 = 5457.572, w2 = 5342.479, dw = -0.06975, nw = 1651 151025.0024.ec.fits: ap = 54, w1 = 5406.093, w2 = 5292.088, dw = -0.06909, nw = 1651 151025.0024.ec.fits: ap = 55, w1 = 5355.577, w2 = 5242.639, dw = -0.06845, nw = 1651 151025.0024.ec.fits: ap = 56, w1 = 5305.996, w2 = 5194.106, dw = -0.06781, nw = 1651 151025.0024.ec.fits: ap = 57, w1 = 5257.325, w2 = 5146.464, dw = -0.06719, nw = 1651 151025.0024.ec.fits: ap = 58, w1 = 5209.538, w2 = 5099.687, dw = -0.06658, nw = 1651 151025.0024.ec.fits: ap = 59, w1 = 5162.613, w2 = 5053.754, dw = -0.06598, nw = 1651 151025.0024.ec.fits: ap = 60, w1 = 5116.526, w2 = 5008.641, dw = -0.06538, nw = 1651 151025.0024.ec.fits: ap = 61, w1 = 5071.254, w2 = 4964.327, dw = -0.0648, nw = 1651 151025.0024.ec.fits: ap = 62, w1 = 5026.777, w2 = 4920.79, dw = -0.06423, nw = 1651 151025.0024.ec.fits: ap = 63, w1 = 4983.073, w2 = 4878.01, dw = -0.06367, nw = 1651 151025.0024.ec.fits: ap = 64, w1 = 4940.123, w2 = 4835.968, dw = -0.06312, nw = 1651 151025.0024.ec.fits: ap = 65, w1 = 4897.908, w2 = 4794.645, dw = -0.06258, nw = 1651 151025.0024.ec.fits: ap = 66, w1 = 4856.407, w2 = 4754.022, dw = -0.06205, nw = 1651 151025.0024.ec.fits: ap = 67, w1 = 4815.604, w2 = 4714.082, dw = -0.06153, nw = 1651 151025.0024.ec.fits: ap = 68, w1 = 4775.482, w2 = 4674.808, dw = -0.06101, nw = 1651 151025.0024.ec.fits: ap = 69, w1 = 4736.022, w2 = 4636.183, dw = -0.06051, nw = 1651 151025.0024.ec.fits: ap = 70, w1 = 4697.21, w2 = 4598.191, dw = -0.06001, nw = 1651 151025.0024.ec.fits: ap = 71, w1 = 4659.028, w2 = 4560.817, dw = -0.05952, nw = 1651 151025.0024.ec.fits: ap = 72, w1 = 4621.463, w2 = 4524.045, dw = -0.05904, nw = 1651 151025.0024.ec.fits: ap = 73, w1 = 4584.498, w2 = 4487.863, dw = -0.05857, nw = 1651 151025.0024.ec.fits: ap = 74, w1 = 4548.12, w2 = 4452.254, dw = -0.0581, nw = 1651 151025.0024.ec.fits: ap = 75, w1 = 4512.316, w2 = 4417.206, dw = -0.05764, nw = 1651 151025.0024.ec.fits: ap = 76, w1 = 4477.07, w2 = 4382.706, dw = -0.05719, nw = 1651 151025.0024.ec.fits: ap = 77, w1 = 4442.372, w2 = 4348.741, dw = -0.05675, nw = 1651 151025.0024.ec.fits: ap = 78, w1 = 4408.207, w2 = 4315.298, dw = -0.05631, nw = 1651 151025.0024.ec.fits: ap = 79, w1 = 4374.563, w2 = 4282.366, dw = -0.05588, nw = 1651 151025.0024.ec.fits: ap = 80, w1 = 4341.43, w2 = 4249.933, dw = -0.05545, nw = 1651 151025.0024.ec.fits: ap = 81, w1 = 4308.794, w2 = 4217.987, dw = -0.05503, nw = 1651 151025.0024.ec.fits: ap = 82, w1 = 4276.646, w2 = 4186.519, dw = -0.05462, nw = 1651 151025.0024.ec.fits: ap = 83, w1 = 4244.974, w2 = 4155.516, dw = -0.05422, nw = 1651 151025.0024.ec.fits: ap = 84, w1 = 4213.768, w2 = 4124.97, dw = -0.05382, nw = 1651 151025.0024.ec.fits: ap = 85, w1 = 4183.017, w2 = 4094.869, dw = -0.05342, nw = 1651 151025.0024.ec.fits: ap = 86, w1 = 4152.713, w2 = 4065.204, dw = -0.05304, nw = 1651 151025.0024.ec.fits: ap = 87, w1 = 4122.844, w2 = 4035.967, dw = -0.05265, nw = 1651 151025.0024.ec.fits: ap = 88, w1 = 4093.402, w2 = 4007.147, dw = -0.05228, nw = 1651 151025.0024.ec.fits: ap = 89, w1 = 4064.377, w2 = 3978.735, dw = -0.0519, nw = 1651 151025.0024.ec.fits: ap = 90, w1 = 4035.762, w2 = 3950.724, dw = -0.05154, nw = 1651 151025.0024.ec.fits: ap = 91, w1 = 4007.546, w2 = 3923.104, dw = -0.05118, nw = 1651 151025.0024.ec.fits: ap = 92, w1 = 3979.723, w2 = 3895.868, dw = -0.05082, nw = 1651 151025.0024.ec.fits: ap = 93, w1 = 3952.283, w2 = 3869.008, dw = -0.05047, nw = 1651 151025.0024.ec.fits: ap = 94, w1 = 3925.219, w2 = 3842.515, dw = -0.05012, nw = 1651 151025.0024.ec.fits: ap = 95, w1 = 3898.523, w2 = 3816.383, dw = -0.04978, nw = 1651 151025.0024.ec.fits: ap = 96, w1 = 3872.188, w2 = 3790.604, dw = -0.04945, nw = 1651 151025.0024.ec.fits: ap = 97, w1 = 3846.207, w2 = 3765.17, dw = -0.04911, nw = 1651 151025.0024.ec.fits: ap = 98, w1 = 3820.572, w2 = 3740.076, dw = -0.04879, nw = 1651 151025.0024.ec.fits: ap = 99, w1 = 3795.276, w2 = 3715.314, dw = -0.04846, nw = 1651 151025.0024.ec.fits: ap = 100, w1 = 3770.314, w2 = 3690.878, dw = -0.04814, nw = 1651 151025.0024.ec.fits: ap = 101, w1 = 3745.678, w2 = 3666.761, dw = -0.04783, nw = 1651 151025.0024.ec.fits: ap = 102, w1 = 3721.361, w2 = 3642.957, dw = -0.04752, nw = 1651 151025.0024.ec.fits: ap = 103, w1 = 3697.358, w2 = 3619.46, dw = -0.04721, nw = 1651 151025.0024.ec.fits: ap = 104, w1 = 3673.664, w2 = 3596.264, dw = -0.04691, nw = 1651 151025.0024.ec.fits: ap = 105, w1 = 3650.27, w2 = 3573.363, dw = -0.04661, nw = 1651 151025.0024.ec.fits: ap = 106, w1 = 3627.173, w2 = 3550.752, dw = -0.04632, nw = 1651 151025.0024.ec.fits: ap = 107, w1 = 3604.367, w2 = 3528.426, dw = -0.04603, nw = 1651 151025.0024.ec.fits: ap = 108, w1 = 3581.845, w2 = 3506.378, dw = -0.04574, nw = 1651 151025.0024.ec.fits: ap = 109, w1 = 3559.604, w2 = 3484.604, dw = -0.04545, nw = 1651 151025.0024.ec.fits: ap = 110, w1 = 3537.637, w2 = 3463.098, dw = -0.04517, nw = 1651 151025.0024.ec.fits: ap = 111, w1 = 3515.939, w2 = 3441.857, dw = -0.0449, nw = 1651 151025.0024.ec.fits: ap = 112, w1 = 3494.506, w2 = 3420.874, dw = -0.04463, nw = 1651 151025.0024.ec.fits: ap = 113, w1 = 3473.333, w2 = 3400.145, dw = -0.04436, nw = 1651 151025.0024.ec.fits: ap = 114, w1 = 3452.414, w2 = 3379.665, dw = -0.04409, nw = 1651 151025.0024.ec.fits: ap = 115, w1 = 3431.747, w2 = 3359.431, dw = -0.04383, nw = 1651 151025.0025.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' 151025.0025.ec.fits: ap = 1, w1 = 10811.42, w2 = 10583.27, dw = -0.13827, nw = 1651 151025.0025.ec.fits: ap = 2, w1 = 10611.23, w2 = 10387.3, dw = -0.13571, nw = 1651 151025.0025.ec.fits: ap = 3, w1 = 10418.31, w2 = 10198.46, dw = -0.13324, nw = 1651 151025.0025.ec.fits: ap = 4, w1 = 10232.28, w2 = 10016.36, dw = -0.13086, nw = 1651 151025.0025.ec.fits: ap = 5, w1 = 10052.78, w2 = 9840.653, dw = -0.12856, nw = 1651 151025.0025.ec.fits: ap = 6, w1 = 9879.472, w2 = 9671.002, dw = -0.12635, nw = 1651 151025.0025.ec.fits: ap = 7, w1 = 9712.037, w2 = 9507.102, dw = -0.1242, nw = 1651 151025.0025.ec.fits: ap = 8, w1 = 9550.183, w2 = 9348.665, dw = -0.12213, nw = 1651 151025.0025.ec.fits: ap = 9, w1 = 9393.635, w2 = 9195.423, dw = -0.12013, nw = 1651 151025.0025.ec.fits: ap = 10, w1 = 9242.138, w2 = 9047.123, dw = -0.11819, nw = 1651 151025.0025.ec.fits: ap = 11, w1 = 9095.449, w2 = 8903.532, dw = -0.11631, nw = 1651 151025.0025.ec.fits: ap = 12, w1 = 8953.345, w2 = 8764.428, dw = -0.1145, nw = 1651 151025.0025.ec.fits: ap = 13, w1 = 8815.613, w2 = 8629.603, dw = -0.11273, nw = 1651 151025.0025.ec.fits: ap = 14, w1 = 8682.054, w2 = 8498.865, dw = -0.11102, nw = 1651 151025.0025.ec.fits: ap = 15, w1 = 8552.483, w2 = 8372.028, dw = -0.10937, nw = 1651 151025.0025.ec.fits: ap = 16, w1 = 8426.722, w2 = 8248.923, dw = -0.10776, nw = 1651 151025.0025.ec.fits: ap = 17, w1 = 8304.606, w2 = 8129.385, dw = -0.10619, nw = 1651 151025.0025.ec.fits: ap = 18, w1 = 8185.98, w2 = 8013.263, dw = -0.10468, nw = 1651 151025.0025.ec.fits: ap = 19, w1 = 8070.695, w2 = 7900.412, dw = -0.1032, nw = 1651 151025.0025.ec.fits: ap = 20, w1 = 7958.612, w2 = 7790.695, dw = -0.10177, nw = 1651 151025.0025.ec.fits: ap = 21, w1 = 7849.6, w2 = 7683.985, dw = -0.10037, nw = 1651 151025.0025.ec.fits: ap = 22, w1 = 7743.534, w2 = 7580.159, dw = -0.09902, nw = 1651 151025.0025.ec.fits: ap = 23, w1 = 7640.297, w2 = 7479.101, dw = -0.09769, nw = 1651 151025.0025.ec.fits: ap = 24, w1 = 7539.776, w2 = 7380.703, dw = -0.09641, nw = 1651 151025.0025.ec.fits: ap = 25, w1 = 7441.867, w2 = 7284.86, dw = -0.09516, nw = 1651 151025.0025.ec.fits: ap = 26, w1 = 7346.468, w2 = 7191.475, dw = -0.09393, nw = 1651 151025.0025.ec.fits: ap = 27, w1 = 7253.484, w2 = 7100.455, dw = -0.09274, nw = 1651 151025.0025.ec.fits: ap = 28, w1 = 7162.824, w2 = 7011.71, dw = -0.09158, nw = 1651 151025.0025.ec.fits: ap = 29, w1 = 7074.403, w2 = 6925.156, dw = -0.09045, nw = 1651 151025.0025.ec.fits: ap = 30, w1 = 6988.139, w2 = 6840.713, dw = -0.08935, nw = 1651 151025.0025.ec.fits: ap = 31, w1 = 6903.954, w2 = 6758.305, dw = -0.08827, nw = 1651 151025.0025.ec.fits: ap = 32, w1 = 6821.773, w2 = 6677.86, dw = -0.08722, nw = 1651 151025.0025.ec.fits: ap = 33, w1 = 6741.525, w2 = 6599.307, dw = -0.08619, nw = 1651 151025.0025.ec.fits: ap = 34, w1 = 6663.144, w2 = 6522.581, dw = -0.08519, nw = 1651 151025.0025.ec.fits: ap = 35, w1 = 6586.565, w2 = 6447.619, dw = -0.08421, nw = 1651 151025.0025.ec.fits: ap = 36, w1 = 6511.726, w2 = 6374.361, dw = -0.08325, nw = 1651 151025.0025.ec.fits: ap = 37, w1 = 6438.569, w2 = 6302.749, dw = -0.08232, nw = 1651 151025.0025.ec.fits: ap = 38, w1 = 6367.038, w2 = 6232.728, dw = -0.0814, nw = 1651 151025.0025.ec.fits: ap = 39, w1 = 6297.078, w2 = 6164.247, dw = -0.0805, nw = 1651 151025.0025.ec.fits: ap = 40, w1 = 6228.64, w2 = 6097.254, dw = -0.07963, nw = 1651 151025.0025.ec.fits: ap = 41, w1 = 6161.674, w2 = 6031.702, dw = -0.07877, nw = 1651 151025.0025.ec.fits: ap = 42, w1 = 6096.132, w2 = 5967.545, dw = -0.07793, nw = 1651 151025.0025.ec.fits: ap = 43, w1 = 6031.97, w2 = 5904.739, dw = -0.07711, nw = 1651 151025.0025.ec.fits: ap = 44, w1 = 5969.145, w2 = 5843.241, dw = -0.07631, nw = 1651 151025.0025.ec.fits: ap = 45, w1 = 5907.616, w2 = 5783.012, dw = -0.07552, nw = 1651 151025.0025.ec.fits: ap = 46, w1 = 5847.342, w2 = 5724.012, dw = -0.07475, nw = 1651 151025.0025.ec.fits: ap = 47, w1 = 5788.286, w2 = 5666.203, dw = -0.07399, nw = 1651 151025.0025.ec.fits: ap = 48, w1 = 5730.411, w2 = 5609.551, dw = -0.07325, nw = 1651 151025.0025.ec.fits: ap = 49, w1 = 5673.682, w2 = 5554.021, dw = -0.07252, nw = 1651 151025.0025.ec.fits: ap = 50, w1 = 5618.065, w2 = 5499.58, dw = -0.07181, nw = 1651 151025.0025.ec.fits: ap = 51, w1 = 5563.529, w2 = 5446.196, dw = -0.07111, nw = 1651 151025.0025.ec.fits: ap = 52, w1 = 5510.041, w2 = 5393.839, dw = -0.07043, nw = 1651 151025.0025.ec.fits: ap = 53, w1 = 5457.572, w2 = 5342.479, dw = -0.06975, nw = 1651 151025.0025.ec.fits: ap = 54, w1 = 5406.093, w2 = 5292.088, dw = -0.06909, nw = 1651 151025.0025.ec.fits: ap = 55, w1 = 5355.577, w2 = 5242.639, dw = -0.06845, nw = 1651 151025.0025.ec.fits: ap = 56, w1 = 5305.996, w2 = 5194.106, dw = -0.06781, nw = 1651 151025.0025.ec.fits: ap = 57, w1 = 5257.325, w2 = 5146.464, dw = -0.06719, nw = 1651 151025.0025.ec.fits: ap = 58, w1 = 5209.538, w2 = 5099.687, dw = -0.06658, nw = 1651 151025.0025.ec.fits: ap = 59, w1 = 5162.613, w2 = 5053.754, dw = -0.06598, nw = 1651 151025.0025.ec.fits: ap = 60, w1 = 5116.526, w2 = 5008.641, dw = -0.06538, nw = 1651 151025.0025.ec.fits: ap = 61, w1 = 5071.254, w2 = 4964.327, dw = -0.0648, nw = 1651 151025.0025.ec.fits: ap = 62, w1 = 5026.777, w2 = 4920.79, dw = -0.06423, nw = 1651 151025.0025.ec.fits: ap = 63, w1 = 4983.073, w2 = 4878.01, dw = -0.06367, nw = 1651 151025.0025.ec.fits: ap = 64, w1 = 4940.123, w2 = 4835.968, dw = -0.06312, nw = 1651 151025.0025.ec.fits: ap = 65, w1 = 4897.908, w2 = 4794.645, dw = -0.06258, nw = 1651 151025.0025.ec.fits: ap = 66, w1 = 4856.407, w2 = 4754.022, dw = -0.06205, nw = 1651 151025.0025.ec.fits: ap = 67, w1 = 4815.604, w2 = 4714.082, dw = -0.06153, nw = 1651 151025.0025.ec.fits: ap = 68, w1 = 4775.482, w2 = 4674.808, dw = -0.06101, nw = 1651 151025.0025.ec.fits: ap = 69, w1 = 4736.022, w2 = 4636.183, dw = -0.06051, nw = 1651 151025.0025.ec.fits: ap = 70, w1 = 4697.21, w2 = 4598.191, dw = -0.06001, nw = 1651 151025.0025.ec.fits: ap = 71, w1 = 4659.028, w2 = 4560.817, dw = -0.05952, nw = 1651 151025.0025.ec.fits: ap = 72, w1 = 4621.463, w2 = 4524.045, dw = -0.05904, nw = 1651 151025.0025.ec.fits: ap = 73, w1 = 4584.498, w2 = 4487.863, dw = -0.05857, nw = 1651 151025.0025.ec.fits: ap = 74, w1 = 4548.12, w2 = 4452.254, dw = -0.0581, nw = 1651 151025.0025.ec.fits: ap = 75, w1 = 4512.316, w2 = 4417.206, dw = -0.05764, nw = 1651 151025.0025.ec.fits: ap = 76, w1 = 4477.07, w2 = 4382.706, dw = -0.05719, nw = 1651 151025.0025.ec.fits: ap = 77, w1 = 4442.372, w2 = 4348.741, dw = -0.05675, nw = 1651 151025.0025.ec.fits: ap = 78, w1 = 4408.207, w2 = 4315.298, dw = -0.05631, nw = 1651 151025.0025.ec.fits: ap = 79, w1 = 4374.563, w2 = 4282.366, dw = -0.05588, nw = 1651 151025.0025.ec.fits: ap = 80, w1 = 4341.43, w2 = 4249.933, dw = -0.05545, nw = 1651 151025.0025.ec.fits: ap = 81, w1 = 4308.794, w2 = 4217.987, dw = -0.05503, nw = 1651 151025.0025.ec.fits: ap = 82, w1 = 4276.646, w2 = 4186.519, dw = -0.05462, nw = 1651 151025.0025.ec.fits: ap = 83, w1 = 4244.974, w2 = 4155.516, dw = -0.05422, nw = 1651 151025.0025.ec.fits: ap = 84, w1 = 4213.768, w2 = 4124.97, dw = -0.05382, nw = 1651 151025.0025.ec.fits: ap = 85, w1 = 4183.017, w2 = 4094.869, dw = -0.05342, nw = 1651 151025.0025.ec.fits: ap = 86, w1 = 4152.713, w2 = 4065.204, dw = -0.05304, nw = 1651 151025.0025.ec.fits: ap = 87, w1 = 4122.844, w2 = 4035.967, dw = -0.05265, nw = 1651 151025.0025.ec.fits: ap = 88, w1 = 4093.402, w2 = 4007.147, dw = -0.05228, nw = 1651 151025.0025.ec.fits: ap = 89, w1 = 4064.377, w2 = 3978.735, dw = -0.0519, nw = 1651 151025.0025.ec.fits: ap = 90, w1 = 4035.762, w2 = 3950.724, dw = -0.05154, nw = 1651 151025.0025.ec.fits: ap = 91, w1 = 4007.546, w2 = 3923.104, dw = -0.05118, nw = 1651 151025.0025.ec.fits: ap = 92, w1 = 3979.723, w2 = 3895.868, dw = -0.05082, nw = 1651 151025.0025.ec.fits: ap = 93, w1 = 3952.283, w2 = 3869.008, dw = -0.05047, nw = 1651 151025.0025.ec.fits: ap = 94, w1 = 3925.219, w2 = 3842.515, dw = -0.05012, nw = 1651 151025.0025.ec.fits: ap = 95, w1 = 3898.523, w2 = 3816.383, dw = -0.04978, nw = 1651 151025.0025.ec.fits: ap = 96, w1 = 3872.188, w2 = 3790.604, dw = -0.04945, nw = 1651 151025.0025.ec.fits: ap = 97, w1 = 3846.207, w2 = 3765.17, dw = -0.04911, nw = 1651 151025.0025.ec.fits: ap = 98, w1 = 3820.572, w2 = 3740.076, dw = -0.04879, nw = 1651 151025.0025.ec.fits: ap = 99, w1 = 3795.276, w2 = 3715.314, dw = -0.04846, nw = 1651 151025.0025.ec.fits: ap = 100, w1 = 3770.314, w2 = 3690.878, dw = -0.04814, nw = 1651 151025.0025.ec.fits: ap = 101, w1 = 3745.678, w2 = 3666.761, dw = -0.04783, nw = 1651 151025.0025.ec.fits: ap = 102, w1 = 3721.361, w2 = 3642.957, dw = -0.04752, nw = 1651 151025.0025.ec.fits: ap = 103, w1 = 3697.358, w2 = 3619.46, dw = -0.04721, nw = 1651 151025.0025.ec.fits: ap = 104, w1 = 3673.664, w2 = 3596.264, dw = -0.04691, nw = 1651 151025.0025.ec.fits: ap = 105, w1 = 3650.27, w2 = 3573.363, dw = -0.04661, nw = 1651 151025.0025.ec.fits: ap = 106, w1 = 3627.173, w2 = 3550.752, dw = -0.04632, nw = 1651 151025.0025.ec.fits: ap = 107, w1 = 3604.367, w2 = 3528.426, dw = -0.04603, nw = 1651 151025.0025.ec.fits: ap = 108, w1 = 3581.845, w2 = 3506.378, dw = -0.04574, nw = 1651 151025.0025.ec.fits: ap = 109, w1 = 3559.604, w2 = 3484.604, dw = -0.04545, nw = 1651 151025.0025.ec.fits: ap = 110, w1 = 3537.637, w2 = 3463.098, dw = -0.04517, nw = 1651 151025.0025.ec.fits: ap = 111, w1 = 3515.939, w2 = 3441.857, dw = -0.0449, nw = 1651 151025.0025.ec.fits: ap = 112, w1 = 3494.506, w2 = 3420.874, dw = -0.04463, nw = 1651 151025.0025.ec.fits: ap = 113, w1 = 3473.333, w2 = 3400.145, dw = -0.04436, nw = 1651 151025.0025.ec.fits: ap = 114, w1 = 3452.414, w2 = 3379.665, dw = -0.04409, nw = 1651 151025.0025.ec.fits: ap = 115, w1 = 3431.747, w2 = 3359.431, dw = -0.04383, nw = 1651 EchelleThAr.0017.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' zEchelleThAr.0017.ec.fits: ap = 1, w1 = 10811.42, w2 = 10583.27, dw = -0.13827, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 2, w1 = 10611.23, w2 = 10387.3, dw = -0.13571, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 3, w1 = 10418.31, w2 = 10198.46, dw = -0.13324, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 4, w1 = 10232.28, w2 = 10016.36, dw = -0.13086, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 5, w1 = 10052.78, w2 = 9840.653, dw = -0.12856, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 6, w1 = 9879.472, w2 = 9671.002, dw = -0.12635, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 7, w1 = 9712.037, w2 = 9507.102, dw = -0.1242, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 8, w1 = 9550.183, w2 = 9348.665, dw = -0.12213, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 9, w1 = 9393.635, w2 = 9195.423, dw = -0.12013, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 10, w1 = 9242.138, w2 = 9047.123, dw = -0.11819, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 11, w1 = 9095.449, w2 = 8903.532, dw = -0.11631, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 12, w1 = 8953.345, w2 = 8764.428, dw = -0.1145, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 13, w1 = 8815.613, w2 = 8629.603, dw = -0.11273, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 14, w1 = 8682.054, w2 = 8498.865, dw = -0.11102, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 15, w1 = 8552.483, w2 = 8372.028, dw = -0.10937, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 16, w1 = 8426.722, w2 = 8248.923, dw = -0.10776, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 17, w1 = 8304.606, w2 = 8129.385, dw = -0.10619, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 18, w1 = 8185.98, w2 = 8013.263, dw = -0.10468, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 19, w1 = 8070.695, w2 = 7900.412, dw = -0.1032, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 20, w1 = 7958.612, w2 = 7790.695, dw = -0.10177, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 21, w1 = 7849.6, w2 = 7683.985, dw = -0.10037, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 22, w1 = 7743.534, w2 = 7580.159, dw = -0.09902, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 23, w1 = 7640.297, w2 = 7479.101, dw = -0.09769, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 24, w1 = 7539.776, w2 = 7380.703, dw = -0.09641, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 25, w1 = 7441.867, w2 = 7284.86, dw = -0.09516, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 26, w1 = 7346.468, w2 = 7191.475, dw = -0.09393, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 27, w1 = 7253.484, w2 = 7100.455, dw = -0.09274, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 28, w1 = 7162.824, w2 = 7011.71, dw = -0.09158, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 29, w1 = 7074.403, w2 = 6925.156, dw = -0.09045, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 30, w1 = 6988.139, w2 = 6840.713, dw = -0.08935, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 31, w1 = 6903.954, w2 = 6758.305, dw = -0.08827, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 32, w1 = 6821.773, w2 = 6677.86, dw = -0.08722, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 33, w1 = 6741.525, w2 = 6599.307, dw = -0.08619, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 34, w1 = 6663.144, w2 = 6522.581, dw = -0.08519, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 35, w1 = 6586.565, w2 = 6447.619, dw = -0.08421, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 36, w1 = 6511.726, w2 = 6374.361, dw = -0.08325, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 37, w1 = 6438.569, w2 = 6302.749, dw = -0.08232, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 38, w1 = 6367.038, w2 = 6232.728, dw = -0.0814, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 39, w1 = 6297.078, w2 = 6164.247, dw = -0.0805, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 40, w1 = 6228.64, w2 = 6097.254, dw = -0.07963, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 41, w1 = 6161.674, w2 = 6031.702, dw = -0.07877, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 42, w1 = 6096.132, w2 = 5967.545, dw = -0.07793, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 43, w1 = 6031.97, w2 = 5904.739, dw = -0.07711, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 44, w1 = 5969.145, w2 = 5843.241, dw = -0.07631, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 45, w1 = 5907.616, w2 = 5783.012, dw = -0.07552, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 46, w1 = 5847.342, w2 = 5724.012, dw = -0.07475, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 47, w1 = 5788.286, w2 = 5666.203, dw = -0.07399, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 48, w1 = 5730.411, w2 = 5609.551, dw = -0.07325, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 49, w1 = 5673.682, w2 = 5554.021, dw = -0.07252, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 50, w1 = 5618.065, w2 = 5499.58, dw = -0.07181, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 51, w1 = 5563.529, w2 = 5446.196, dw = -0.07111, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 52, w1 = 5510.041, w2 = 5393.839, dw = -0.07043, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 53, w1 = 5457.572, w2 = 5342.479, dw = -0.06975, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 54, w1 = 5406.093, w2 = 5292.088, dw = -0.06909, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 55, w1 = 5355.577, w2 = 5242.639, dw = -0.06845, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 56, w1 = 5305.996, w2 = 5194.106, dw = -0.06781, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 57, w1 = 5257.325, w2 = 5146.464, dw = -0.06719, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 58, w1 = 5209.538, w2 = 5099.687, dw = -0.06658, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 59, w1 = 5162.613, w2 = 5053.754, dw = -0.06598, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 60, w1 = 5116.526, w2 = 5008.641, dw = -0.06538, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 61, w1 = 5071.254, w2 = 4964.327, dw = -0.0648, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 62, w1 = 5026.777, w2 = 4920.79, dw = -0.06423, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 63, w1 = 4983.073, w2 = 4878.01, dw = -0.06367, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 64, w1 = 4940.123, w2 = 4835.968, dw = -0.06312, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 65, w1 = 4897.908, w2 = 4794.645, dw = -0.06258, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 66, w1 = 4856.407, w2 = 4754.022, dw = -0.06205, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 67, w1 = 4815.604, w2 = 4714.082, dw = -0.06153, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 68, w1 = 4775.482, w2 = 4674.808, dw = -0.06101, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 69, w1 = 4736.022, w2 = 4636.183, dw = -0.06051, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 70, w1 = 4697.21, w2 = 4598.191, dw = -0.06001, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 71, w1 = 4659.028, w2 = 4560.817, dw = -0.05952, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 72, w1 = 4621.463, w2 = 4524.045, dw = -0.05904, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 73, w1 = 4584.498, w2 = 4487.863, dw = -0.05857, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 74, w1 = 4548.12, w2 = 4452.254, dw = -0.0581, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 75, w1 = 4512.316, w2 = 4417.206, dw = -0.05764, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 76, w1 = 4477.07, w2 = 4382.706, dw = -0.05719, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 77, w1 = 4442.372, w2 = 4348.741, dw = -0.05675, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 78, w1 = 4408.207, w2 = 4315.298, dw = -0.05631, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 79, w1 = 4374.563, w2 = 4282.366, dw = -0.05588, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 80, w1 = 4341.43, w2 = 4249.933, dw = -0.05545, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 81, w1 = 4308.794, w2 = 4217.987, dw = -0.05503, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 82, w1 = 4276.646, w2 = 4186.519, dw = -0.05462, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 83, w1 = 4244.974, w2 = 4155.516, dw = -0.05422, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 84, w1 = 4213.768, w2 = 4124.97, dw = -0.05382, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 85, w1 = 4183.017, w2 = 4094.869, dw = -0.05342, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 86, w1 = 4152.713, w2 = 4065.204, dw = -0.05304, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 87, w1 = 4122.844, w2 = 4035.967, dw = -0.05265, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 88, w1 = 4093.402, w2 = 4007.147, dw = -0.05228, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 89, w1 = 4064.377, w2 = 3978.735, dw = -0.0519, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 90, w1 = 4035.762, w2 = 3950.724, dw = -0.05154, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 91, w1 = 4007.546, w2 = 3923.104, dw = -0.05118, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 92, w1 = 3979.723, w2 = 3895.868, dw = -0.05082, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 93, w1 = 3952.283, w2 = 3869.008, dw = -0.05047, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 94, w1 = 3925.219, w2 = 3842.515, dw = -0.05012, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 95, w1 = 3898.523, w2 = 3816.383, dw = -0.04978, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 96, w1 = 3872.188, w2 = 3790.604, dw = -0.04945, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 97, w1 = 3846.207, w2 = 3765.17, dw = -0.04911, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 98, w1 = 3820.572, w2 = 3740.076, dw = -0.04879, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 99, w1 = 3795.276, w2 = 3715.314, dw = -0.04846, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 100, w1 = 3770.314, w2 = 3690.878, dw = -0.04814, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 101, w1 = 3745.678, w2 = 3666.761, dw = -0.04783, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 102, w1 = 3721.361, w2 = 3642.957, dw = -0.04752, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 103, w1 = 3697.358, w2 = 3619.46, dw = -0.04721, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 104, w1 = 3673.664, w2 = 3596.264, dw = -0.04691, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 105, w1 = 3650.27, w2 = 3573.363, dw = -0.04661, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 106, w1 = 3627.173, w2 = 3550.752, dw = -0.04632, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 107, w1 = 3604.367, w2 = 3528.426, dw = -0.04603, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 108, w1 = 3581.845, w2 = 3506.378, dw = -0.04574, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 109, w1 = 3559.604, w2 = 3484.604, dw = -0.04545, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 110, w1 = 3537.637, w2 = 3463.098, dw = -0.04517, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 111, w1 = 3515.939, w2 = 3441.857, dw = -0.0449, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 112, w1 = 3494.506, w2 = 3420.874, dw = -0.04463, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 113, w1 = 3473.333, w2 = 3400.145, dw = -0.04436, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 114, w1 = 3452.414, w2 = 3379.665, dw = -0.04409, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 115, w1 = 3431.747, w2 = 3359.431, dw = -0.04383, nw = 1651 EchelleThAr.0026.ec.fits: REFSPEC1 = 'EchelleThAr.0026.ec 1.' zEchelleThAr.0026.ec.fits: ap = 1, w1 = 10811.42, w2 = 10583.2, dw = -0.13832, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 2, w1 = 10611.22, w2 = 10387.24, dw = -0.13575, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 3, w1 = 10418.31, w2 = 10198.4, dw = -0.13328, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 4, w1 = 10232.28, w2 = 10016.31, dw = -0.13089, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 5, w1 = 10052.78, w2 = 9840.605, dw = -0.12859, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 6, w1 = 9879.473, w2 = 9670.959, dw = -0.12637, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 7, w1 = 9712.038, w2 = 9507.064, dw = -0.12423, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 8, w1 = 9550.184, w2 = 9348.631, dw = -0.12215, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 9, w1 = 9393.637, w2 = 9195.392, dw = -0.12015, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 10, w1 = 9242.139, w2 = 9047.096, dw = -0.11821, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 11, w1 = 9095.451, w2 = 8903.507, dw = -0.11633, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 12, w1 = 8953.346, w2 = 8764.405, dw = -0.11451, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 13, w1 = 8815.614, w2 = 8629.582, dw = -0.11275, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 14, w1 = 8682.056, w2 = 8498.845, dw = -0.11104, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 15, w1 = 8552.484, w2 = 8372.01, dw = -0.10938, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 16, w1 = 8426.723, w2 = 8248.905, dw = -0.10777, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 17, w1 = 8304.607, w2 = 8129.368, dw = -0.10621, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 18, w1 = 8185.98, w2 = 8013.247, dw = -0.10469, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 19, w1 = 8070.695, w2 = 7900.396, dw = -0.10321, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 20, w1 = 7958.612, w2 = 7790.68, dw = -0.10178, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 21, w1 = 7849.599, w2 = 7683.969, dw = -0.10038, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 22, w1 = 7743.533, w2 = 7580.143, dw = -0.09902, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 23, w1 = 7640.296, w2 = 7479.085, dw = -0.0977, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 24, w1 = 7539.775, w2 = 7380.686, dw = -0.09642, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 25, w1 = 7441.865, w2 = 7284.844, dw = -0.09516, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 26, w1 = 7346.465, w2 = 7191.458, dw = -0.09394, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 27, w1 = 7253.481, w2 = 7100.437, dw = -0.09275, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 28, w1 = 7162.821, w2 = 7011.691, dw = -0.09159, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 29, w1 = 7074.4, w2 = 6925.137, dw = -0.09046, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 30, w1 = 6988.135, w2 = 6840.694, dw = -0.08936, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 31, w1 = 6903.949, w2 = 6758.285, dw = -0.08828, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 32, w1 = 6821.768, w2 = 6677.839, dw = -0.08723, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 33, w1 = 6741.52, w2 = 6599.285, dw = -0.0862, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 34, w1 = 6663.138, w2 = 6522.559, dw = -0.0852, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 35, w1 = 6586.559, w2 = 6447.596, dw = -0.08422, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 36, w1 = 6511.72, w2 = 6374.337, dw = -0.08326, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 37, w1 = 6438.562, w2 = 6302.725, dw = -0.08233, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 38, w1 = 6367.031, w2 = 6232.704, dw = -0.08141, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 39, w1 = 6297.071, w2 = 6164.222, dw = -0.08051, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 40, w1 = 6228.633, w2 = 6097.228, dw = -0.07964, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 41, w1 = 6161.666, w2 = 6031.676, dw = -0.07878, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 42, w1 = 6096.124, w2 = 5967.519, dw = -0.07794, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 43, w1 = 6031.962, w2 = 5904.712, dw = -0.07712, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 44, w1 = 5969.137, w2 = 5843.214, dw = -0.07632, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 45, w1 = 5907.608, w2 = 5782.984, dw = -0.07553, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 46, w1 = 5847.334, w2 = 5723.983, dw = -0.07476, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 47, w1 = 5788.278, w2 = 5666.175, dw = -0.074, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 48, w1 = 5730.403, w2 = 5609.523, dw = -0.07326, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 49, w1 = 5673.674, w2 = 5553.992, dw = -0.07253, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 50, w1 = 5618.057, w2 = 5499.551, dw = -0.07182, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 51, w1 = 5563.521, w2 = 5446.167, dw = -0.07112, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 52, w1 = 5510.033, w2 = 5393.81, dw = -0.07044, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 53, w1 = 5457.565, w2 = 5342.45, dw = -0.06977, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 54, w1 = 5406.086, w2 = 5292.059, dw = -0.06911, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 55, w1 = 5355.57, w2 = 5242.61, dw = -0.06846, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 56, w1 = 5305.989, w2 = 5194.078, dw = -0.06782, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 57, w1 = 5257.318, w2 = 5146.435, dw = -0.0672, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 58, w1 = 5209.532, w2 = 5099.66, dw = -0.06659, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 59, w1 = 5162.607, w2 = 5053.727, dw = -0.06599, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 60, w1 = 5116.52, w2 = 5008.614, dw = -0.0654, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 61, w1 = 5071.249, w2 = 4964.3, dw = -0.06482, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 62, w1 = 5026.773, w2 = 4920.764, dw = -0.06425, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 63, w1 = 4983.07, w2 = 4877.984, dw = -0.06369, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 64, w1 = 4940.12, w2 = 4835.943, dw = -0.06314, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 65, w1 = 4897.905, w2 = 4794.62, dw = -0.0626, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 66, w1 = 4856.405, w2 = 4753.998, dw = -0.06207, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 67, w1 = 4815.603, w2 = 4714.058, dw = -0.06154, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 68, w1 = 4775.481, w2 = 4674.785, dw = -0.06103, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 69, w1 = 4736.023, w2 = 4636.16, dw = -0.06052, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 70, w1 = 4697.211, w2 = 4598.169, dw = -0.06003, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 71, w1 = 4659.03, w2 = 4560.795, dw = -0.05954, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 72, w1 = 4621.466, w2 = 4524.025, dw = -0.05906, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 73, w1 = 4584.502, w2 = 4487.843, dw = -0.05858, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 74, w1 = 4548.126, w2 = 4452.235, dw = -0.05812, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 75, w1 = 4512.322, w2 = 4417.188, dw = -0.05766, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 76, w1 = 4477.078, w2 = 4382.688, dw = -0.05721, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 77, w1 = 4442.38, w2 = 4348.724, dw = -0.05676, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 78, w1 = 4408.217, w2 = 4315.281, dw = -0.05632, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 79, w1 = 4374.574, w2 = 4282.35, dw = -0.05589, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 80, w1 = 4341.442, w2 = 4249.917, dw = -0.05547, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 81, w1 = 4308.808, w2 = 4217.972, dw = -0.05505, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 82, w1 = 4276.662, w2 = 4186.504, dw = -0.05464, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 83, w1 = 4244.991, w2 = 4155.502, dw = -0.05424, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 84, w1 = 4213.787, w2 = 4124.956, dw = -0.05384, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 85, w1 = 4183.038, w2 = 4094.856, dw = -0.05344, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 86, w1 = 4152.734, w2 = 4065.192, dw = -0.05306, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 87, w1 = 4122.867, w2 = 4035.954, dw = -0.05267, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 88, w1 = 4093.427, w2 = 4007.134, dw = -0.0523, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 89, w1 = 4064.404, w2 = 3978.723, dw = -0.05193, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 90, w1 = 4035.79, w2 = 3950.712, dw = -0.05156, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 91, w1 = 4007.577, w2 = 3923.093, dw = -0.0512, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 92, w1 = 3979.755, w2 = 3895.856, dw = -0.05085, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 93, w1 = 3952.317, w2 = 3868.996, dw = -0.0505, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 94, w1 = 3925.256, w2 = 3842.503, dw = -0.05015, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 95, w1 = 3898.562, w2 = 3816.371, dw = -0.04981, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 96, w1 = 3872.229, w2 = 3790.591, dw = -0.04948, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 97, w1 = 3846.25, w2 = 3765.157, dw = -0.04915, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 98, w1 = 3820.617, w2 = 3740.062, dw = -0.04882, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 99, w1 = 3795.324, w2 = 3715.3, dw = -0.0485, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 100, w1 = 3770.364, w2 = 3690.863, dw = -0.04818, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 101, w1 = 3745.73, w2 = 3666.745, dw = -0.04787, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 102, w1 = 3721.416, w2 = 3642.94, dw = -0.04756, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 103, w1 = 3697.416, w2 = 3619.442, dw = -0.04726, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 104, w1 = 3673.723, w2 = 3596.244, dw = -0.04696, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 105, w1 = 3650.333, w2 = 3573.342, dw = -0.04666, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 106, w1 = 3627.238, w2 = 3550.73, dw = -0.04637, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 107, w1 = 3604.435, w2 = 3528.402, dw = -0.04608, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 108, w1 = 3581.916, w2 = 3506.352, dw = -0.0458, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 109, w1 = 3559.677, w2 = 3484.576, dw = -0.04552, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 110, w1 = 3537.713, w2 = 3463.068, dw = -0.04524, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 111, w1 = 3516.018, w2 = 3441.824, dw = -0.04497, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 112, w1 = 3494.588, w2 = 3420.839, dw = -0.0447, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 113, w1 = 3473.417, w2 = 3400.107, dw = -0.04443, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 114, w1 = 3452.502, w2 = 3379.625, dw = -0.04417, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 115, w1 = 3431.838, w2 = 3359.388, dw = -0.04391, nw = 1651 Continuum fitting the spectra... Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Combining spectra... Oct 26 11:30: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 151025.0018.ec.fits[ 1] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 2] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 3] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 4] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 5] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 6] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 7] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 8] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 9] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 10] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 11] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 12] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 13] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 14] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 15] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 16] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 17] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 18] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 19] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 20] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 21] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 22] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 23] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 24] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 25] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 26] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 27] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 28] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 29] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 30] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 31] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 32] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 33] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 34] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 35] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 36] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 37] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 38] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 39] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 40] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 41] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 42] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 43] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 44] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 45] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 46] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 47] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 48] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 49] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 50] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 51] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 52] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 53] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 54] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 55] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 56] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 57] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 58] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 59] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 60] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 61] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 62] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 63] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 64] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 65] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 66] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 67] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 68] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 69] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 70] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 71] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 72] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 73] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 74] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 75] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 76] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 77] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 78] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 79] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 80] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 81] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 82] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 83] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 84] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 85] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 86] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 87] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 88] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 89] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 90] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 91] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 92] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 93] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 94] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 95] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 96] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 97] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 98] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[ 99] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[100] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[101] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[102] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[103] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[104] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[105] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[106] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[107] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[108] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[109] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[110] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[111] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[112] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[113] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[114] 1200.0 1.000 0. 0.009 151025.0018.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum151025.0018.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.431, w2 = 10811.42, dw = 0.0438275, nw = 170031., dtype = 0 Oct 26 11:30: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 151025.0019.ec.fits[ 1] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 2] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 3] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 4] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 5] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 6] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 7] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 8] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 9] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 10] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 11] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 12] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 13] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 14] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 15] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 16] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 17] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 18] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 19] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 20] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 21] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 22] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 23] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 24] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 25] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 26] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 27] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 28] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 29] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 30] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 31] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 32] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 33] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 34] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 35] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 36] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 37] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 38] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 39] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 40] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 41] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 42] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 43] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 44] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 45] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 46] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 47] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 48] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 49] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 50] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 51] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 52] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 53] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 54] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 55] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 56] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 57] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 58] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 59] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 60] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 61] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 62] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 63] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 64] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 65] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 66] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 67] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 68] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 69] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 70] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 71] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 72] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 73] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 74] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 75] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 76] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 77] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 78] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 79] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 80] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 81] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 82] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 83] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 84] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 85] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 86] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 87] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 88] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 89] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 90] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 91] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 92] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 93] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 94] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 95] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 96] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 97] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 98] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[ 99] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[100] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[101] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[102] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[103] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[104] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[105] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[106] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[107] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[108] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[109] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[110] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[111] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[112] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[113] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[114] 1200.0 1.000 0. 0.009 151025.0019.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum151025.0019.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.431, w2 = 10811.42, dw = 0.0438275, nw = 170031., dtype = 0 Oct 26 11:31: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 151025.0020.ec.fits[ 1] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 2] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 3] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 4] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 5] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 6] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 7] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 8] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 9] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 10] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 11] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 12] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 13] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 14] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 15] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 16] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 17] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 18] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 19] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 20] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 21] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 22] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 23] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 24] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 25] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 26] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 27] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 28] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 29] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 30] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 31] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 32] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 33] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 34] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 35] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 36] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 37] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 38] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 39] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 40] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 41] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 42] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 43] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 44] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 45] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 46] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 47] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 48] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 49] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 50] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 51] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 52] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 53] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 54] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 55] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 56] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 57] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 58] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 59] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 60] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 61] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 62] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 63] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 64] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 65] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 66] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 67] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 68] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 69] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 70] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 71] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 72] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 73] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 74] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 75] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 76] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 77] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 78] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 79] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 80] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 81] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 82] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 83] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 84] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 85] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 86] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 87] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 88] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 89] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 90] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 91] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 92] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 93] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 94] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 95] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 96] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 97] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 98] 900.0 1.000 0. 0.009 151025.0020.ec.fits[ 99] 900.0 1.000 0. 0.009 151025.0020.ec.fits[100] 900.0 1.000 0. 0.009 151025.0020.ec.fits[101] 900.0 1.000 0. 0.009 151025.0020.ec.fits[102] 900.0 1.000 0. 0.009 151025.0020.ec.fits[103] 900.0 1.000 0. 0.009 151025.0020.ec.fits[104] 900.0 1.000 0. 0.009 151025.0020.ec.fits[105] 900.0 1.000 0. 0.009 151025.0020.ec.fits[106] 900.0 1.000 0. 0.009 151025.0020.ec.fits[107] 900.0 1.000 0. 0.009 151025.0020.ec.fits[108] 900.0 1.000 0. 0.009 151025.0020.ec.fits[109] 900.0 1.000 0. 0.009 151025.0020.ec.fits[110] 900.0 1.000 0. 0.009 151025.0020.ec.fits[111] 900.0 1.000 0. 0.009 151025.0020.ec.fits[112] 900.0 1.000 0. 0.009 151025.0020.ec.fits[113] 900.0 1.000 0. 0.009 151025.0020.ec.fits[114] 900.0 1.000 0. 0.009 151025.0020.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum151025.0020.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.431, w2 = 10811.42, dw = 0.0438275, nw = 170031., dtype = 0 Oct 26 11:31: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 151025.0021.ec.fits[ 1] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 2] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 3] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 4] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 5] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 6] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 7] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 8] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 9] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 10] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 11] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 12] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 13] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 14] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 15] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 16] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 17] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 18] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 19] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 20] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 21] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 22] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 23] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 24] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 25] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 26] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 27] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 28] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 29] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 30] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 31] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 32] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 33] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 34] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 35] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 36] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 37] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 38] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 39] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 40] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 41] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 42] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 43] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 44] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 45] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 46] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 47] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 48] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 49] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 50] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 51] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 52] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 53] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 54] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 55] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 56] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 57] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 58] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 59] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 60] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 61] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 62] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 63] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 64] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 65] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 66] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 67] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 68] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 69] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 70] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 71] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 72] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 73] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 74] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 75] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 76] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 77] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 78] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 79] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 80] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 81] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 82] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 83] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 84] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 85] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 86] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 87] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 88] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 89] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 90] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 91] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 92] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 93] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 94] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 95] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 96] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 97] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 98] 900.0 1.000 0. 0.009 151025.0021.ec.fits[ 99] 900.0 1.000 0. 0.009 151025.0021.ec.fits[100] 900.0 1.000 0. 0.009 151025.0021.ec.fits[101] 900.0 1.000 0. 0.009 151025.0021.ec.fits[102] 900.0 1.000 0. 0.009 151025.0021.ec.fits[103] 900.0 1.000 0. 0.009 151025.0021.ec.fits[104] 900.0 1.000 0. 0.009 151025.0021.ec.fits[105] 900.0 1.000 0. 0.009 151025.0021.ec.fits[106] 900.0 1.000 0. 0.009 151025.0021.ec.fits[107] 900.0 1.000 0. 0.009 151025.0021.ec.fits[108] 900.0 1.000 0. 0.009 151025.0021.ec.fits[109] 900.0 1.000 0. 0.009 151025.0021.ec.fits[110] 900.0 1.000 0. 0.009 151025.0021.ec.fits[111] 900.0 1.000 0. 0.009 151025.0021.ec.fits[112] 900.0 1.000 0. 0.009 151025.0021.ec.fits[113] 900.0 1.000 0. 0.009 151025.0021.ec.fits[114] 900.0 1.000 0. 0.009 151025.0021.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum151025.0021.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.431, w2 = 10811.42, dw = 0.0438275, nw = 170031., dtype = 0 Oct 26 11:32: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 151025.0022.ec.fits[ 1] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 2] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 3] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 4] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 5] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 6] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 7] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 8] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 9] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 10] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 11] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 12] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 13] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 14] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 15] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 16] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 17] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 18] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 19] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 20] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 21] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 22] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 23] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 24] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 25] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 26] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 27] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 28] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 29] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 30] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 31] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 32] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 33] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 34] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 35] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 36] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 37] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 38] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 39] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 40] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 41] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 42] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 43] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 44] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 45] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 46] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 47] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 48] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 49] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 50] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 51] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 52] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 53] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 54] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 55] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 56] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 57] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 58] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 59] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 60] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 61] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 62] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 63] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 64] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 65] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 66] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 67] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 68] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 69] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 70] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 71] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 72] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 73] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 74] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 75] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 76] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 77] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 78] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 79] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 80] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 81] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 82] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 83] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 84] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 85] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 86] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 87] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 88] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 89] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 90] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 91] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 92] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 93] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 94] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 95] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 96] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 97] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 98] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[ 99] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[100] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[101] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[102] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[103] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[104] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[105] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[106] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[107] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[108] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[109] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[110] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[111] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[112] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[113] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[114] 1500.0 1.000 0. 0.009 151025.0022.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum151025.0022.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.431, w2 = 10811.42, dw = 0.0438275, nw = 170031., dtype = 0 Oct 26 11:32: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 151025.0023.ec.fits[ 1] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 2] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 3] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 4] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 5] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 6] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 7] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 8] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 9] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 10] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 11] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 12] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 13] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 14] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 15] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 16] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 17] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 18] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 19] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 20] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 21] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 22] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 23] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 24] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 25] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 26] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 27] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 28] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 29] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 30] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 31] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 32] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 33] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 34] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 35] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 36] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 37] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 38] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 39] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 40] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 41] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 42] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 43] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 44] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 45] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 46] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 47] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 48] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 49] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 50] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 51] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 52] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 53] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 54] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 55] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 56] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 57] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 58] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 59] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 60] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 61] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 62] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 63] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 64] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 65] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 66] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 67] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 68] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 69] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 70] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 71] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 72] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 73] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 74] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 75] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 76] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 77] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 78] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 79] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 80] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 81] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 82] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 83] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 84] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 85] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 86] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 87] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 88] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 89] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 90] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 91] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 92] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 93] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 94] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 95] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 96] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 97] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 98] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[ 99] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[100] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[101] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[102] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[103] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[104] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[105] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[106] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[107] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[108] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[109] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[110] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[111] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[112] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[113] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[114] 1200.0 1.000 0. 0.009 151025.0023.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum151025.0023.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.431, w2 = 10811.42, dw = 0.0438275, nw = 170031., dtype = 0 Oct 26 11:33: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 151025.0024.ec.fits[ 1] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 2] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 3] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 4] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 5] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 6] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 7] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 8] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 9] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 10] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 11] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 12] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 13] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 14] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 15] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 16] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 17] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 18] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 19] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 20] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 21] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 22] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 23] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 24] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 25] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 26] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 27] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 28] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 29] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 30] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 31] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 32] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 33] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 34] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 35] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 36] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 37] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 38] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 39] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 40] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 41] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 42] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 43] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 44] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 45] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 46] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 47] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 48] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 49] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 50] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 51] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 52] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 53] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 54] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 55] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 56] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 57] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 58] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 59] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 60] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 61] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 62] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 63] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 64] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 65] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 66] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 67] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 68] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 69] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 70] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 71] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 72] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 73] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 74] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 75] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 76] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 77] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 78] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 79] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 80] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 81] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 82] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 83] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 84] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 85] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 86] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 87] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 88] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 89] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 90] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 91] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 92] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 93] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 94] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 95] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 96] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 97] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 98] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[ 99] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[100] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[101] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[102] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[103] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[104] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[105] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[106] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[107] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[108] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[109] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[110] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[111] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[112] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[113] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[114] 1500.0 1.000 0. 0.009 151025.0024.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum151025.0024.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.431, w2 = 10811.42, dw = 0.0438275, nw = 170031., dtype = 0 Oct 26 11:34: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 151025.0025.ec.fits[ 1] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 2] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 3] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 4] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 5] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 6] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 7] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 8] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 9] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 10] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 11] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 12] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 13] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 14] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 15] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 16] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 17] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 18] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 19] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 20] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 21] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 22] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 23] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 24] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 25] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 26] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 27] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 28] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 29] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 30] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 31] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 32] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 33] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 34] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 35] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 36] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 37] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 38] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 39] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 40] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 41] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 42] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 43] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 44] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 45] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 46] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 47] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 48] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 49] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 50] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 51] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 52] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 53] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 54] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 55] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 56] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 57] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 58] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 59] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 60] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 61] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 62] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 63] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 64] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 65] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 66] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 67] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 68] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 69] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 70] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 71] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 72] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 73] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 74] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 75] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 76] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 77] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 78] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 79] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 80] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 81] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 82] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 83] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 84] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 85] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 86] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 87] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 88] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 89] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 90] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 91] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 92] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 93] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 94] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 95] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 96] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 97] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 98] 900.0 1.000 0. 0.009 151025.0025.ec.fits[ 99] 900.0 1.000 0. 0.009 151025.0025.ec.fits[100] 900.0 1.000 0. 0.009 151025.0025.ec.fits[101] 900.0 1.000 0. 0.009 151025.0025.ec.fits[102] 900.0 1.000 0. 0.009 151025.0025.ec.fits[103] 900.0 1.000 0. 0.009 151025.0025.ec.fits[104] 900.0 1.000 0. 0.009 151025.0025.ec.fits[105] 900.0 1.000 0. 0.009 151025.0025.ec.fits[106] 900.0 1.000 0. 0.009 151025.0025.ec.fits[107] 900.0 1.000 0. 0.009 151025.0025.ec.fits[108] 900.0 1.000 0. 0.009 151025.0025.ec.fits[109] 900.0 1.000 0. 0.009 151025.0025.ec.fits[110] 900.0 1.000 0. 0.009 151025.0025.ec.fits[111] 900.0 1.000 0. 0.009 151025.0025.ec.fits[112] 900.0 1.000 0. 0.009 151025.0025.ec.fits[113] 900.0 1.000 0. 0.009 151025.0025.ec.fits[114] 900.0 1.000 0. 0.009 151025.0025.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum151025.0025.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.431, w2 = 10811.42, dw = 0.0438275, nw = 170031., dtype = 0 Oct 26 11:34: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont151025.0018.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont151025.0018.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont151025.0018.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.431, w2 = 10811.42, dw = 0.0438275, nw = 170031., dtype = 0 Oct 26 11:35: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont151025.0019.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont151025.0019.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont151025.0019.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.431, w2 = 10811.42, dw = 0.0438275, nw = 170031., dtype = 0 Oct 26 11:35: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont151025.0020.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[100] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[101] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[102] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[103] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[104] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[105] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[106] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[107] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[108] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[109] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[110] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[111] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[112] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[113] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[114] 900.0 1.000 0. 0.009 fitcont151025.0020.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont151025.0020.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.431, w2 = 10811.42, dw = 0.0438275, nw = 170031., dtype = 0 Oct 26 11:36: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont151025.0021.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[100] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[101] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[102] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[103] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[104] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[105] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[106] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[107] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[108] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[109] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[110] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[111] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[112] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[113] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[114] 900.0 1.000 0. 0.009 fitcont151025.0021.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont151025.0021.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.431, w2 = 10811.42, dw = 0.0438275, nw = 170031., dtype = 0 Oct 26 11:36: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont151025.0022.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont151025.0022.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont151025.0022.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.431, w2 = 10811.42, dw = 0.0438275, nw = 170031., dtype = 0 Oct 26 11:37: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont151025.0023.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont151025.0023.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont151025.0023.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.431, w2 = 10811.42, dw = 0.0438275, nw = 170031., dtype = 0 Oct 26 11:37: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont151025.0024.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont151025.0024.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont151025.0024.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.431, w2 = 10811.42, dw = 0.0438275, nw = 170031., dtype = 0 Oct 26 11:38: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont151025.0025.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[100] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[101] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[102] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[103] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[104] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[105] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[106] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[107] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[108] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[109] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[110] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[111] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[112] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[113] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[114] 900.0 1.000 0. 0.009 fitcont151025.0025.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont151025.0025.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.431, w2 = 10811.42, dw = 0.0438275, nw = 170031., dtype = 0 fullspec151025.0018.ec.fits 138000. fullspec151025.0018.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec151025.0018.ec.fits updated fullspec151025.0019.ec.fits 138000. fullspec151025.0019.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec151025.0019.ec.fits updated fullspec151025.0020.ec.fits 103500. fullspec151025.0020.ec.fits,EXPTIME: 103500. -> 900.0 fullspec151025.0020.ec.fits updated fullspec151025.0021.ec.fits 103500. fullspec151025.0021.ec.fits,EXPTIME: 103500. -> 900.0 fullspec151025.0021.ec.fits updated fullspec151025.0022.ec.fits 172500. fullspec151025.0022.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec151025.0022.ec.fits updated fullspec151025.0023.ec.fits 138000. fullspec151025.0023.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec151025.0023.ec.fits updated fullspec151025.0024.ec.fits 172500. fullspec151025.0024.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec151025.0024.ec.fits updated fullspec151025.0025.ec.fits 103500. fullspec151025.0025.ec.fits,EXPTIME: 103500. -> 900.0 fullspec151025.0025.ec.fits updated ALL DONE! Yay! (=^.^=)