Copying data files and other necessary files Changing to reduced data directory Generating file lists... Setting dispaxis... add 120904.0001.fits,dispaxis = 1 120904.0001.fits updated add 120904.0002.fits,dispaxis = 1 120904.0002.fits updated add 120904.0003.fits,dispaxis = 1 120904.0003.fits updated add 120904.0004.fits,dispaxis = 1 120904.0004.fits updated add 120904.0005.fits,dispaxis = 1 120904.0005.fits updated add 120904.0006.fits,dispaxis = 1 120904.0006.fits updated add 120904.0007.fits,dispaxis = 1 120904.0007.fits updated add 120904.0008.fits,dispaxis = 1 120904.0008.fits updated add 120904.0009.fits,dispaxis = 1 120904.0009.fits updated add 120904.0010.fits,dispaxis = 1 120904.0010.fits updated add 120904.0011.fits,dispaxis = 1 120904.0011.fits updated add 120904.0012.fits,dispaxis = 1 120904.0012.fits updated add 120904.0013.fits,dispaxis = 1 120904.0013.fits updated add 120904.0014.fits,dispaxis = 1 120904.0014.fits updated add 120904.0015.fits,dispaxis = 1 120904.0015.fits updated add 120904.0016.fits,dispaxis = 1 120904.0016.fits updated add 120904.0017.fits,dispaxis = 1 120904.0017.fits updated add 120904.0018.fits,dispaxis = 1 120904.0018.fits updated add 120904.0019.fits,dispaxis = 1 120904.0019.fits updated add 120904.0020.fits,dispaxis = 1 120904.0020.fits updated add 120904.0021.fits,dispaxis = 1 120904.0021.fits updated add 120904.0022.fits,dispaxis = 1 120904.0022.fits updated add 120904.0023.fits,dispaxis = 1 120904.0023.fits updated add 120904.0024.fits,dispaxis = 1 120904.0024.fits updated add 120904.0025.fits,dispaxis = 1 120904.0025.fits updated add 120904.0026.fits,dispaxis = 1 120904.0026.fits updated add 120904.0027.fits,dispaxis = 1 120904.0027.fits updated FIXPIX: image 120904.0005.fits with mask echmask.pl FIXPIX: image 120904.0006.fits with mask echmask.pl FIXPIX: image 120904.0007.fits with mask echmask.pl FIXPIX: image 120904.0008.fits with mask echmask.pl FIXPIX: image 120904.0009.fits with mask echmask.pl FIXPIX: image 120904.0010.fits with mask echmask.pl FIXPIX: image 120904.0021.fits with mask echmask.pl FIXPIX: image 120904.0022.fits with mask echmask.pl FIXPIX: image 120904.0023.fits with mask echmask.pl FIXPIX: image 120904.0024.fits with mask echmask.pl FIXPIX: image 120904.0025.fits with mask echmask.pl FIXPIX: image 120904.0026.fits with mask echmask.pl FIXPIX: image 120904.0027.fits with mask echmask.pl FIXPIX: image 120904.0001.fits with mask echmask.pl FIXPIX: image 120904.0002.fits with mask echmask.pl FIXPIX: image 120904.0003.fits with mask echmask.pl FIXPIX: image 120904.0004.fits with mask echmask.pl Dec 10 12:02: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Exp 120904.0011.fits 0.0 120904.0012.fits 0.0 120904.0013.fits 0.9 120904.0014.fits 0.0 120904.0015.fits 0.9 120904.0016.fits 0.0 120904.0017.fits 0.9 120904.0018.fits 0.0 120904.0019.fits 0.9 120904.0020.fits 0.0 Output image = bias_fid, ncombine = 10 Calibrating object images and flats (bias, and trimming)... 120904.0021.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] bias_fid: Dec 10 12:02 Trim data section is [200:1850,1:2048] 120904.0021.fits: Dec 10 12:02 Zero level correction image is bias_fid 120904.0022.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] 120904.0022.fits: Dec 10 12:02 Zero level correction image is bias_fid 120904.0023.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] 120904.0023.fits: Dec 10 12:02 Zero level correction image is bias_fid 120904.0024.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] 120904.0024.fits: Dec 10 12:02 Zero level correction image is bias_fid 120904.0025.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] 120904.0025.fits: Dec 10 12:02 Zero level correction image is bias_fid 120904.0026.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] 120904.0026.fits: Dec 10 12:02 Zero level correction image is bias_fid 120904.0027.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] 120904.0027.fits: Dec 10 12:02 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... 120904.0005.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] 120904.0005.fits: Dec 10 12:02 Zero level correction image is bias_fid 120904.0006.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] 120904.0006.fits: Dec 10 12:02 Zero level correction image is bias_fid 120904.0007.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] 120904.0007.fits: Dec 10 12:02 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... 120904.0008.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] 120904.0008.fits: Dec 10 12:02 Zero level correction image is bias_fid 120904.0009.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] 120904.0009.fits: Dec 10 12:02 Zero level correction image is bias_fid 120904.0010.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] 120904.0010.fits: Dec 10 12:02 Zero level correction image is bias_fid Calibrating ThAr arcs... 120904.0001.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] 120904.0001.fits: Dec 10 12:02 Zero level correction image is bias_fid 120904.0002.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] 120904.0002.fits: Dec 10 12:02 Zero level correction image is bias_fid 120904.0003.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] 120904.0003.fits: Dec 10 12:02 Zero level correction image is bias_fid 120904.0004.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] 120904.0004.fits: Dec 10 12:02 Zero level correction image is bias_fid Combining red and blue flats into separate fiducial flats... Dec 10 12:03: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp 120904.0008.fits 200.0 120904.0009.fits 200.0 120904.0010.fits 200.0 Output image = flat_blue_mean.fits, ncombine = 3 Dec 10 12:03: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp 120904.0005.fits 7.0 120904.0006.fits 7.0 120904.0007.fits 7.0 Output image = flat_red_mean.fits, ncombine = 3 Combining average red and blue flats into a superflat... IMARITH: Operation = * Operand1 = flat_red_mean.fits Operand2 = filter_redflat.fit Result = flat_red_mean_filt.fits Result pixel type = double Calculation type = double IMARITH: Operation = + Operand1 = flat_blue_mean.fits Operand2 = flat_red_mean_filt.fits Result = junk Result pixel type = double Calculation type = double IMARITH: Operation = / Operand1 = junk Operand2 = 2.0 Result = flat_fid Result pixel type = double Calculation type = double Replacement value for division by zero = 0. Resample the superflat in the y direction... flat_fid_mag.fits Magnify image flat_fid.fits to image flat_fid_mag.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 flat_fid_mag.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] flat_fid_mag.fits updated Modeling and extracting the superflat... Dec 10 12:04: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 141. Dec 10 12:04: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 140. Dec 10 12:04: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 136. Dec 10 12:04: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 135. Dec 10 12:04: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 134. Dec 10 12:04: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 133. Dec 10 12:04: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 150. Dec 10 12:04: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 149. Dec 10 12:04: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 148. Dec 10 12:04: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 120. Dec 10 12:04: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 119. Dec 10 12:04: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 114. Dec 10 12:04: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 113. Dec 10 12:04: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1633. Dec 10 12:04: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1634. Dec 10 12:04: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 102. Dec 10 12:04: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 101. Dec 10 12:04: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 94. Dec 10 12:04: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 93. Dec 10 12:04: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 92. Dec 10 12:04: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1597. Dec 10 12:04: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1598. Dec 10 12:04: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1599. Dec 10 12:04: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 138. Dec 10 12:04: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 137. Dec 10 12:04: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 95. Dec 10 12:04: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 94. Dec 10 12:04: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1580. Dec 10 12:04: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1581. Dec 10 12:04: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1582. Dec 10 12:04: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1597. Dec 10 12:04: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1598. Dec 10 12:04: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1604. Dec 10 12:04: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1605. Dec 10 12:04: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1619. Dec 10 12:04: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1620. Dec 10 12:04: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1625. Dec 10 12:04: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1626. Dec 10 12:04: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 148. Dec 10 12:04: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 147. Dec 10 12:04: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 122. Dec 10 12:04: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 121. Dec 10 12:04: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1517. Dec 10 12:04: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1518. Dec 10 12:04: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1519. Dec 10 12:04: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1548. Dec 10 12:04: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1549. Dec 10 12:04: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1550. Dec 10 12:04: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1567. Dec 10 12:04: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1568. Dec 10 12:04: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1569. Dec 10 12:04: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 159. Dec 10 12:04: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 158. Dec 10 12:04: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 79. Dec 10 12:04: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 78. Dec 10 12:04: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1523. Dec 10 12:04: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1524. Dec 10 12:04: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1525. Dec 10 12:04: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 184. Dec 10 12:04: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 183. Dec 10 12:04: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 182. Dec 10 12:04: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 141. Dec 10 12:04: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 140. Dec 10 12:04: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 139. Dec 10 12:04: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1500. Dec 10 12:04: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1501. Dec 10 12:04: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1502. Dec 10 12:04: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 271. Dec 10 12:04: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 270. Dec 10 12:04: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 269. Dec 10 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1492. Dec 10 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1493. Dec 10 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1494. Dec 10 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 185. Dec 10 12:04: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 184. Dec 10 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 166. Dec 10 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 165. Dec 10 12:04: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 164. Dec 10 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 156. Dec 10 12:04: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 155. Dec 10 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 154. Dec 10 12:04: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 153. Dec 10 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 152. Dec 10 12:04: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 151. Dec 10 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 68. Dec 10 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 67. Dec 10 12:04: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 66. Dec 10 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 64. Dec 10 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 63. Dec 10 12:04: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 62. Dec 10 12:04: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1449. Dec 10 12:04: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1450. Dec 10 12:04: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1451. Dec 10 12:04: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 278. Dec 10 12:04: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 277. Dec 10 12:04: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 250. Dec 10 12:04: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 249. Dec 10 12:04: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 248. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1429. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1430. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1448. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1449. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1454. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1455. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1469. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1470. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1483. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1484. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1498. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1499. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1500. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1501. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1502. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 269. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 268. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 267. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 224. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 223. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 222. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 221. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 198. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 197. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 196. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 184. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 183. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 182. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 178. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 177. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 176. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 151. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 150. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 149. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 111. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 110. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 107. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 106. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 92. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 91. Dec 10 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 90. Dec 10 12:04: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1321. Dec 10 12:04: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1322. Dec 10 12:04: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1396. Dec 10 12:04: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1397. Dec 10 12:04: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1405. Dec 10 12:04: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1406. Dec 10 12:04: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1407. Dec 10 12:04: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1422. Dec 10 12:04: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1423. Dec 10 12:04: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1451. Dec 10 12:04: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1452. Dec 10 12:04: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1457. Dec 10 12:04: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1458. Dec 10 12:04: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1459. Dec 10 12:04: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 270. Dec 10 12:04: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 269. Dec 10 12:04: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 268. Dec 10 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1229. Dec 10 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1230. Dec 10 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1231. Dec 10 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 307. Dec 10 12:04: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 306. Dec 10 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 252. Dec 10 12:04: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 251. Dec 10 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 250. Dec 10 12:04: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 249. Dec 10 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 230. Dec 10 12:04: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 229. Dec 10 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 214. Dec 10 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 213. Dec 10 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 212. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1278. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1279. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1280. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 572. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 571. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 570. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 410. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 409. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 408. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 403. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 402. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 401. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 375. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 374. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 363. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 362. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 361. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 360. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 328. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 327. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 285. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 284. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 231. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 230. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 225. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 224. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 220. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 219. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 218. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 183. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 182. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 174. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 173. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 172. Dec 10 12:04: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1031. Dec 10 12:04: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1032. Dec 10 12:04: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1033. Dec 10 12:04: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 500. Dec 10 12:04: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 499. Dec 10 12:04: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 469. Dec 10 12:04: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 468. Dec 10 12:04: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 467. Dec 10 12:04: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 466. Dec 10 12:04: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 465. Dec 10 12:04: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 464. Dec 10 12:04: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 407. Dec 10 12:04: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 406. Dec 10 12:04: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 405. Normalizing the superflat... flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits IMARITH: Operation = + Operand1 = nonorm_flat_fid_mag.ec.fits Operand2 = 14.34 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... 120904.0001.fits Magnify image 120904.0001.fits to image 120904.0001.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120904.0001.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120904.0001.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... 120904.0002.fits Magnify image 120904.0002.fits to image 120904.0002.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120904.0002.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120904.0002.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... 120904.0003.fits Magnify image 120904.0003.fits to image 120904.0003.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120904.0003.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120904.0003.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... 120904.0004.fits Magnify image 120904.0004.fits to image 120904.0004.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 120904.0004.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120904.0004.fits updated Applying model apertures to the arc and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120904.0021 Magnify image 120904.0021 to image 120904.0021. 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 120904.0021,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120904.0021 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120904.0021 -> noscat120904.0021 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 12:06: EXTRACT: WARNING - Aperture 102: Dec 10 12:06: Total variance weighted spectrum flux is 4648.918 Dec 10 12:06: Total unweighted spectrum flux is 1316.173 Dec 10 12:06: EXTRACT: Aperture 102 variance spectrum bias factor is 0.2831138 Dec 10 12:06: EXTRACT: WARNING - Aperture 103: Dec 10 12:06: Total variance weighted spectrum flux is 9009.736 Dec 10 12:06: Total unweighted spectrum flux is 2833.013 Dec 10 12:06: EXTRACT: Aperture 103 variance spectrum bias factor is 0.3144391 Dec 10 12:06: EXTRACT: WARNING - Aperture 104: Dec 10 12:06: Total variance weighted spectrum flux is 8724.208 Dec 10 12:06: Total unweighted spectrum flux is 2884.771 Dec 10 12:06: EXTRACT: Aperture 104 variance spectrum bias factor is 0.3306628 Dec 10 12:06: EXTRACT: WARNING - Aperture 105: Dec 10 12:06: Total variance weighted spectrum flux is 6147.236 Dec 10 12:06: Total unweighted spectrum flux is 470.7875 Dec 10 12:06: EXTRACT: Aperture 105 variance spectrum bias factor is 0.07658523 Dec 10 12:06: EXTRACT: WARNING - Aperture 106: Dec 10 12:06: Total variance weighted spectrum flux is 6359.291 Dec 10 12:06: Total unweighted spectrum flux is 1740.492 Dec 10 12:06: EXTRACT: Aperture 106 variance spectrum bias factor is 0.2736928 Dec 10 12:06: EXTRACT: WARNING - Aperture 107: Dec 10 12:06: Total variance weighted spectrum flux is 5850.109 Dec 10 12:06: Total unweighted spectrum flux is 1369.382 Dec 10 12:06: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2340781 Dec 10 12:06: EXTRACT: WARNING - Aperture 108: Dec 10 12:06: Total variance weighted spectrum flux is 5892.172 Dec 10 12:06: Total unweighted spectrum flux is 467.8525 Dec 10 12:06: EXTRACT: Aperture 108 variance spectrum bias factor is 0.07940239 Dec 10 12:06: EXTRACT: WARNING - Aperture 109: Dec 10 12:06: Total variance weighted spectrum flux is 6772.936 Dec 10 12:06: Total unweighted spectrum flux is 1089.49 Dec 10 12:06: EXTRACT: Aperture 109 variance spectrum bias factor is 0.1608593 Dec 10 12:06: EXTRACT: WARNING - Aperture 110: Dec 10 12:06: Total variance weighted spectrum flux is 3014.343 Dec 10 12:06: Total unweighted spectrum flux is 203.9091 Dec 10 12:06: EXTRACT: Aperture 110 variance spectrum bias factor is 0.06764628 Dec 10 12:06: EXTRACT: WARNING - Aperture 111: Dec 10 12:06: Total variance weighted spectrum flux is 7112.606 Dec 10 12:06: Total unweighted spectrum flux is 308.3666 Dec 10 12:06: EXTRACT: Aperture 111 variance spectrum bias factor is 0.04335494 Dec 10 12:06: EXTRACT: WARNING - Aperture 112: Dec 10 12:06: Total variance weighted spectrum flux is 4128.517 Dec 10 12:06: Total unweighted spectrum flux is 88.59737 Dec 10 12:06: EXTRACT: Aperture 112 variance spectrum bias factor is 0.02145986 Dec 10 12:06: EXTRACT: WARNING - Aperture 113: Dec 10 12:06: Total variance weighted spectrum flux is 3306.708 Dec 10 12:06: Total unweighted spectrum flux is 437.9664 Dec 10 12:06: EXTRACT: Aperture 113 variance spectrum bias factor is 0.1324479 Dec 10 12:06: EXTRACT: WARNING - Aperture 114: Dec 10 12:06: Total variance weighted spectrum flux is 4516.815 Dec 10 12:06: Total unweighted spectrum flux is 1998.086 Dec 10 12:06: EXTRACT: Aperture 114 variance spectrum bias factor is 0.4423661 Dec 10 12:06: EXTRACT: WARNING - Aperture 115: Dec 10 12:06: Total variance weighted spectrum flux is 3696.288 Dec 10 12:06: Total unweighted spectrum flux is 1260.007 Dec 10 12:06: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3408845 Resampling the object by a factor of 4 in the y direction... 120904.0022 Magnify image 120904.0022 to image 120904.0022. 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 120904.0022,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120904.0022 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120904.0022 -> noscat120904.0022 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 12:08: EXTRACT: WARNING - Aperture 92: Dec 10 12:08: Total variance weighted spectrum flux is 8943.01 Dec 10 12:08: Total unweighted spectrum flux is 2998.799 Dec 10 12:08: EXTRACT: Aperture 92 variance spectrum bias factor is 0.3353232 Dec 10 12:08: EXTRACT: WARNING - Aperture 93: Dec 10 12:08: Total variance weighted spectrum flux is 9460.673 Dec 10 12:08: Total unweighted spectrum flux is 4116.561 Dec 10 12:08: EXTRACT: Aperture 93 variance spectrum bias factor is 0.4351234 Dec 10 12:08: EXTRACT: WARNING - Aperture 95: Dec 10 12:08: Total variance weighted spectrum flux is 13089.06 Dec 10 12:08: Total unweighted spectrum flux is 6253.371 Dec 10 12:08: EXTRACT: Aperture 95 variance spectrum bias factor is 0.4777556 Dec 10 12:08: EXTRACT: WARNING - Aperture 96: Dec 10 12:08: Total variance weighted spectrum flux is 4985.232 Dec 10 12:08: Total unweighted spectrum flux is 2059.404 Dec 10 12:08: EXTRACT: Aperture 96 variance spectrum bias factor is 0.413101 Dec 10 12:08: EXTRACT: WARNING - Aperture 98: Dec 10 12:08: Total variance weighted spectrum flux is 9825.504 Dec 10 12:08: Total unweighted spectrum flux is 970.5701 Dec 10 12:08: EXTRACT: Aperture 98 variance spectrum bias factor is 0.0987807 Dec 10 12:08: EXTRACT: WARNING - Aperture 99: Dec 10 12:08: Total variance weighted spectrum flux is 11004.84 Dec 10 12:08: Total unweighted spectrum flux is 2849.375 Dec 10 12:08: EXTRACT: Aperture 99 variance spectrum bias factor is 0.25892 Dec 10 12:08: EXTRACT: WARNING - Aperture 100: Dec 10 12:08: Total variance weighted spectrum flux is 10350.95 Dec 10 12:08: Total unweighted spectrum flux is 3414.27 Dec 10 12:08: EXTRACT: Aperture 100 variance spectrum bias factor is 0.3298508 Dec 10 12:08: EXTRACT: WARNING - Aperture 101: Dec 10 12:08: Total variance weighted spectrum flux is 7251.75 Dec 10 12:08: Total unweighted spectrum flux is 2116.764 Dec 10 12:08: EXTRACT: Aperture 101 variance spectrum bias factor is 0.291897 Dec 10 12:08: EXTRACT: WARNING - Aperture 102: Dec 10 12:08: Total variance weighted spectrum flux is 7329.588 Dec 10 12:08: Total unweighted spectrum flux is 2348.219 Dec 10 12:08: EXTRACT: Aperture 102 variance spectrum bias factor is 0.3203753 Dec 10 12:08: EXTRACT: WARNING - Aperture 103: Dec 10 12:08: Total variance weighted spectrum flux is 12393.21 Dec 10 12:08: Total unweighted spectrum flux is 4440.474 Dec 10 12:08: EXTRACT: Aperture 103 variance spectrum bias factor is 0.358299 Dec 10 12:08: EXTRACT: WARNING - Aperture 104: Dec 10 12:08: Total variance weighted spectrum flux is 5530.91 Dec 10 12:08: Total unweighted spectrum flux is 983.9902 Dec 10 12:08: EXTRACT: Aperture 104 variance spectrum bias factor is 0.1779075 Dec 10 12:08: EXTRACT: WARNING - Aperture 105: Dec 10 12:08: Total variance weighted spectrum flux is 6877.641 Dec 10 12:08: Total unweighted spectrum flux is 1759.117 Dec 10 12:08: EXTRACT: Aperture 105 variance spectrum bias factor is 0.2557733 Dec 10 12:08: EXTRACT: WARNING - Aperture 106: Dec 10 12:08: Total variance weighted spectrum flux is 5581.804 Dec 10 12:08: Total unweighted spectrum flux is 411.5457 Dec 10 12:08: EXTRACT: Aperture 106 variance spectrum bias factor is 0.07372987 Dec 10 12:08: EXTRACT: WARNING - Aperture 107: Dec 10 12:08: Total variance weighted spectrum flux is 9801.729 Dec 10 12:08: Total unweighted spectrum flux is 2618.948 Dec 10 12:08: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2671925 Dec 10 12:08: EXTRACT: WARNING - Aperture 108: Dec 10 12:08: Total variance weighted spectrum flux is 7259.412 Dec 10 12:08: Total unweighted spectrum flux is 1223.277 Dec 10 12:08: EXTRACT: Aperture 108 variance spectrum bias factor is 0.1685091 Dec 10 12:08: EXTRACT: WARNING - Aperture 109: Dec 10 12:08: Total variance weighted spectrum flux is 5777.072 Dec 10 12:08: Total unweighted spectrum flux is 1331.252 Dec 10 12:08: EXTRACT: Aperture 109 variance spectrum bias factor is 0.2304372 Dec 10 12:08: EXTRACT: WARNING - Aperture 110: Dec 10 12:08: Total variance weighted spectrum flux is 7560.213 Dec 10 12:08: Total unweighted spectrum flux is 1861.947 Dec 10 12:08: EXTRACT: Aperture 110 variance spectrum bias factor is 0.2462823 Dec 10 12:08: EXTRACT: WARNING - Aperture 111: Dec 10 12:08: Total variance weighted spectrum flux is 4482.054 Dec 10 12:08: Total unweighted spectrum flux is 296.7236 Dec 10 12:08: EXTRACT: Aperture 111 variance spectrum bias factor is 0.06620258 Dec 10 12:08: EXTRACT: WARNING - Aperture 112: Dec 10 12:08: Total variance weighted spectrum flux is 5518.994 Dec 10 12:08: Total unweighted spectrum flux is 796.1092 Dec 10 12:08: EXTRACT: Aperture 112 variance spectrum bias factor is 0.144249 Dec 10 12:08: EXTRACT: WARNING - Aperture 113: Dec 10 12:08: Total variance weighted spectrum flux is 5400.275 Dec 10 12:08: Total unweighted spectrum flux is 292.1797 Dec 10 12:08: EXTRACT: Aperture 113 variance spectrum bias factor is 0.0541046 Dec 10 12:08: EXTRACT: WARNING - Aperture 114: Dec 10 12:08: Total variance weighted spectrum flux is 8469.578 Dec 10 12:08: Total unweighted spectrum flux is 746.3186 Dec 10 12:08: EXTRACT: Aperture 114 variance spectrum bias factor is 0.08811756 Dec 10 12:08: EXTRACT: WARNING - Aperture 115: Dec 10 12:08: Total variance weighted spectrum flux is 2597.007 Dec 10 12:08: Total unweighted spectrum flux is 665.2819 Dec 10 12:08: EXTRACT: Aperture 115 variance spectrum bias factor is 0.2561726 Resampling the object by a factor of 4 in the y direction... 120904.0023 Magnify image 120904.0023 to image 120904.0023. 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 120904.0023,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120904.0023 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120904.0023 -> noscat120904.0023 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 12:08: EXTRACT: WARNING - Aperture 1: Dec 10 12:08: Total variance weighted spectrum flux is 5629.934 Dec 10 12:08: Total unweighted spectrum flux is 2572.143 Dec 10 12:08: EXTRACT: Aperture 1 variance spectrum bias factor is 0.4568691 Dec 10 12:09: EXTRACT: WARNING - Aperture 86: Dec 10 12:09: Total variance weighted spectrum flux is 9258.263 Dec 10 12:09: Total unweighted spectrum flux is 3763.268 Dec 10 12:09: EXTRACT: Aperture 86 variance spectrum bias factor is 0.4064767 Dec 10 12:09: EXTRACT: WARNING - Aperture 94: Dec 10 12:09: Total variance weighted spectrum flux is 10790.47 Dec 10 12:09: Total unweighted spectrum flux is -779.3982 Dec 10 12:09: Variance spectrum bias factor ignored Dec 10 12:09: EXTRACT: WARNING - Aperture 96: Dec 10 12:09: Total variance weighted spectrum flux is 7869.349 Dec 10 12:09: Total unweighted spectrum flux is 838.2764 Dec 10 12:09: EXTRACT: Aperture 96 variance spectrum bias factor is 0.1065242 Dec 10 12:09: EXTRACT: WARNING - Aperture 97: Dec 10 12:09: Total variance weighted spectrum flux is 11320.18 Dec 10 12:09: Total unweighted spectrum flux is 4492.002 Dec 10 12:09: EXTRACT: Aperture 97 variance spectrum bias factor is 0.3968138 Dec 10 12:09: EXTRACT: WARNING - Aperture 98: Dec 10 12:09: Total variance weighted spectrum flux is 7519.154 Dec 10 12:09: Total unweighted spectrum flux is 2589.301 Dec 10 12:09: EXTRACT: Aperture 98 variance spectrum bias factor is 0.3443606 Dec 10 12:09: EXTRACT: WARNING - Aperture 99: Dec 10 12:09: Total variance weighted spectrum flux is 14688.76 Dec 10 12:09: Total unweighted spectrum flux is 5395.879 Dec 10 12:09: EXTRACT: Aperture 99 variance spectrum bias factor is 0.3673475 Dec 10 12:09: EXTRACT: WARNING - Aperture 100: Dec 10 12:09: Total variance weighted spectrum flux is 13132.27 Dec 10 12:09: Total unweighted spectrum flux is 5119.086 Dec 10 12:09: EXTRACT: Aperture 100 variance spectrum bias factor is 0.3898097 Dec 10 12:09: EXTRACT: WARNING - Aperture 101: Dec 10 12:09: Total variance weighted spectrum flux is 8687.04 Dec 10 12:09: Total unweighted spectrum flux is 4267.394 Dec 10 12:09: EXTRACT: Aperture 101 variance spectrum bias factor is 0.4912368 Dec 10 12:09: EXTRACT: WARNING - Aperture 102: Dec 10 12:09: Total variance weighted spectrum flux is 8550.316 Dec 10 12:09: Total unweighted spectrum flux is 3565.881 Dec 10 12:09: EXTRACT: Aperture 102 variance spectrum bias factor is 0.4170467 Dec 10 12:09: EXTRACT: WARNING - Aperture 103: Dec 10 12:09: Total variance weighted spectrum flux is 5684.217 Dec 10 12:09: Total unweighted spectrum flux is 2592.196 Dec 10 12:09: EXTRACT: Aperture 103 variance spectrum bias factor is 0.456034 Dec 10 12:10: EXTRACT: WARNING - Aperture 104: Dec 10 12:10: Total variance weighted spectrum flux is 10802.39 Dec 10 12:10: Total unweighted spectrum flux is 2792.454 Dec 10 12:10: EXTRACT: Aperture 104 variance spectrum bias factor is 0.2585033 Dec 10 12:10: EXTRACT: WARNING - Aperture 105: Dec 10 12:10: Total variance weighted spectrum flux is 9299.415 Dec 10 12:10: Total unweighted spectrum flux is 2788.062 Dec 10 12:10: EXTRACT: Aperture 105 variance spectrum bias factor is 0.2998105 Dec 10 12:10: EXTRACT: WARNING - Aperture 106: Dec 10 12:10: Total variance weighted spectrum flux is 5242.102 Dec 10 12:10: Total unweighted spectrum flux is 522.2509 Dec 10 12:10: EXTRACT: Aperture 106 variance spectrum bias factor is 0.09962624 Dec 10 12:10: EXTRACT: WARNING - Aperture 107: Dec 10 12:10: Total variance weighted spectrum flux is 5662.21 Dec 10 12:10: Total unweighted spectrum flux is 1028.693 Dec 10 12:10: EXTRACT: Aperture 107 variance spectrum bias factor is 0.181677 Dec 10 12:10: EXTRACT: WARNING - Aperture 108: Dec 10 12:10: Total variance weighted spectrum flux is 6735.45 Dec 10 12:10: Total unweighted spectrum flux is 3042.334 Dec 10 12:10: EXTRACT: Aperture 108 variance spectrum bias factor is 0.4516899 Dec 10 12:10: EXTRACT: WARNING - Aperture 109: Dec 10 12:10: Total variance weighted spectrum flux is 5607.062 Dec 10 12:10: Total unweighted spectrum flux is 1495.304 Dec 10 12:10: EXTRACT: Aperture 109 variance spectrum bias factor is 0.2666822 Dec 10 12:10: EXTRACT: WARNING - Aperture 110: Dec 10 12:10: Total variance weighted spectrum flux is 6273.643 Dec 10 12:10: Total unweighted spectrum flux is 2425.802 Dec 10 12:10: EXTRACT: Aperture 110 variance spectrum bias factor is 0.3866657 Dec 10 12:10: EXTRACT: WARNING - Aperture 111: Dec 10 12:10: Total variance weighted spectrum flux is 3944.073 Dec 10 12:10: Total unweighted spectrum flux is 1167.83 Dec 10 12:10: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2960975 Dec 10 12:10: EXTRACT: WARNING - Aperture 112: Dec 10 12:10: Total variance weighted spectrum flux is 3046.449 Dec 10 12:10: Total unweighted spectrum flux is 587.2772 Dec 10 12:10: EXTRACT: Aperture 112 variance spectrum bias factor is 0.1927743 Dec 10 12:10: EXTRACT: WARNING - Aperture 113: Dec 10 12:10: Total variance weighted spectrum flux is 2997.003 Dec 10 12:10: Total unweighted spectrum flux is 392.6718 Dec 10 12:10: EXTRACT: Aperture 113 variance spectrum bias factor is 0.1310215 Dec 10 12:10: EXTRACT: WARNING - Aperture 114: Dec 10 12:10: Total variance weighted spectrum flux is 2809.841 Dec 10 12:10: Total unweighted spectrum flux is 1101.23 Dec 10 12:10: EXTRACT: Aperture 114 variance spectrum bias factor is 0.3919189 Dec 10 12:10: EXTRACT: WARNING - Aperture 115: Dec 10 12:10: Total variance weighted spectrum flux is 3504.95 Dec 10 12:10: Total unweighted spectrum flux is 1319.498 Dec 10 12:10: EXTRACT: Aperture 115 variance spectrum bias factor is 0.376467 Resampling the object by a factor of 4 in the y direction... 120904.0024 Magnify image 120904.0024 to image 120904.0024. 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 120904.0024,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120904.0024 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120904.0024 -> noscat120904.0024 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 12:11: EXTRACT: WARNING - Aperture 94: Dec 10 12:11: Total variance weighted spectrum flux is 7561.413 Dec 10 12:11: Total unweighted spectrum flux is 3311.992 Dec 10 12:11: EXTRACT: Aperture 94 variance spectrum bias factor is 0.4380123 Dec 10 12:11: EXTRACT: WARNING - Aperture 95: Dec 10 12:11: Total variance weighted spectrum flux is 17290.94 Dec 10 12:11: Total unweighted spectrum flux is 7039.065 Dec 10 12:11: EXTRACT: Aperture 95 variance spectrum bias factor is 0.4070957 Dec 10 12:11: EXTRACT: WARNING - Aperture 96: Dec 10 12:11: Total variance weighted spectrum flux is 10867.28 Dec 10 12:11: Total unweighted spectrum flux is 3418.451 Dec 10 12:11: EXTRACT: Aperture 96 variance spectrum bias factor is 0.3145636 Dec 10 12:11: EXTRACT: WARNING - Aperture 97: Dec 10 12:11: Total variance weighted spectrum flux is 6847.99 Dec 10 12:11: Total unweighted spectrum flux is 2157.85 Dec 10 12:11: EXTRACT: Aperture 97 variance spectrum bias factor is 0.315107 Dec 10 12:12: EXTRACT: WARNING - Aperture 98: Dec 10 12:12: Total variance weighted spectrum flux is 7993.679 Dec 10 12:12: Total unweighted spectrum flux is 3886.556 Dec 10 12:12: EXTRACT: Aperture 98 variance spectrum bias factor is 0.4862037 Dec 10 12:12: EXTRACT: WARNING - Aperture 99: Dec 10 12:12: Total variance weighted spectrum flux is 11173.12 Dec 10 12:12: Total unweighted spectrum flux is 3838.176 Dec 10 12:12: EXTRACT: Aperture 99 variance spectrum bias factor is 0.3435187 Dec 10 12:12: EXTRACT: WARNING - Aperture 100: Dec 10 12:12: Total variance weighted spectrum flux is 6876.32 Dec 10 12:12: Total unweighted spectrum flux is -901.4239 Dec 10 12:12: Variance spectrum bias factor ignored Dec 10 12:12: EXTRACT: WARNING - Aperture 101: Dec 10 12:12: Total variance weighted spectrum flux is 7221.318 Dec 10 12:12: Total unweighted spectrum flux is 2834.199 Dec 10 12:12: EXTRACT: Aperture 101 variance spectrum bias factor is 0.3924767 Dec 10 12:12: EXTRACT: WARNING - Aperture 102: Dec 10 12:12: Total variance weighted spectrum flux is 10481.88 Dec 10 12:12: Total unweighted spectrum flux is 5182.254 Dec 10 12:12: EXTRACT: Aperture 102 variance spectrum bias factor is 0.4944013 Dec 10 12:12: EXTRACT: WARNING - Aperture 103: Dec 10 12:12: Total variance weighted spectrum flux is 9731.783 Dec 10 12:12: Total unweighted spectrum flux is 502.2507 Dec 10 12:12: EXTRACT: Aperture 103 variance spectrum bias factor is 0.05160932 Dec 10 12:12: EXTRACT: WARNING - Aperture 104: Dec 10 12:12: Total variance weighted spectrum flux is 9835.986 Dec 10 12:12: Total unweighted spectrum flux is 1672.311 Dec 10 12:12: EXTRACT: Aperture 104 variance spectrum bias factor is 0.1700196 Dec 10 12:12: EXTRACT: WARNING - Aperture 105: Dec 10 12:12: Total variance weighted spectrum flux is 12347.89 Dec 10 12:12: Total unweighted spectrum flux is 2089.666 Dec 10 12:12: EXTRACT: Aperture 105 variance spectrum bias factor is 0.1692326 Dec 10 12:12: EXTRACT: WARNING - Aperture 106: Dec 10 12:12: Total variance weighted spectrum flux is 4325.021 Dec 10 12:12: Total unweighted spectrum flux is 1634.906 Dec 10 12:12: EXTRACT: Aperture 106 variance spectrum bias factor is 0.3780112 Dec 10 12:12: EXTRACT: WARNING - Aperture 107: Dec 10 12:12: Total variance weighted spectrum flux is 10920.67 Dec 10 12:12: Total unweighted spectrum flux is 2716.573 Dec 10 12:12: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2487551 Dec 10 12:12: EXTRACT: WARNING - Aperture 108: Dec 10 12:12: Total variance weighted spectrum flux is 8547.882 Dec 10 12:12: Total unweighted spectrum flux is 1562.612 Dec 10 12:12: EXTRACT: Aperture 108 variance spectrum bias factor is 0.1828069 Dec 10 12:12: EXTRACT: WARNING - Aperture 109: Dec 10 12:12: Total variance weighted spectrum flux is 5897.793 Dec 10 12:12: Total unweighted spectrum flux is 1671.065 Dec 10 12:12: EXTRACT: Aperture 109 variance spectrum bias factor is 0.2833373 Dec 10 12:12: EXTRACT: WARNING - Aperture 110: Dec 10 12:12: Total variance weighted spectrum flux is 5526.979 Dec 10 12:12: Total unweighted spectrum flux is 777.7082 Dec 10 12:12: EXTRACT: Aperture 110 variance spectrum bias factor is 0.1407113 Dec 10 12:12: EXTRACT: WARNING - Aperture 111: Dec 10 12:12: Total variance weighted spectrum flux is 6433.708 Dec 10 12:12: Total unweighted spectrum flux is 1859.437 Dec 10 12:12: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2890148 Dec 10 12:12: EXTRACT: WARNING - Aperture 112: Dec 10 12:12: Total variance weighted spectrum flux is 3086.263 Dec 10 12:12: Total unweighted spectrum flux is 173.7965 Dec 10 12:12: EXTRACT: Aperture 112 variance spectrum bias factor is 0.05631291 Dec 10 12:12: EXTRACT: WARNING - Aperture 113: Dec 10 12:12: Total variance weighted spectrum flux is 3668.809 Dec 10 12:12: Total unweighted spectrum flux is 338.685 Dec 10 12:12: EXTRACT: Aperture 113 variance spectrum bias factor is 0.0923147 Dec 10 12:12: EXTRACT: WARNING - Aperture 114: Dec 10 12:12: Total variance weighted spectrum flux is 2352.036 Dec 10 12:12: Total unweighted spectrum flux is 104.8864 Dec 10 12:12: EXTRACT: Aperture 114 variance spectrum bias factor is 0.0445939 Dec 10 12:12: EXTRACT: WARNING - Aperture 115: Dec 10 12:12: Total variance weighted spectrum flux is 1538.905 Dec 10 12:12: Total unweighted spectrum flux is 473.7021 Dec 10 12:12: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3078178 Resampling the object by a factor of 4 in the y direction... 120904.0025 Magnify image 120904.0025 to image 120904.0025. 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 120904.0025,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120904.0025 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120904.0025 -> noscat120904.0025 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120904.0026 Magnify image 120904.0026 to image 120904.0026. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120904.0026,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120904.0026 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120904.0026 -> noscat120904.0026 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120904.0027 Magnify image 120904.0027 to image 120904.0027. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120904.0027,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120904.0027 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120904.0027 -> noscat120904.0027 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... add 120904.0001.ec.fits,REFSPEC1 = 120904.0001.ec.fits 120904.0001.ec.fits updated add 120904.0002.ec.fits,REFSPEC1 = 120904.0002.ec.fits 120904.0002.ec.fits updated add 120904.0003.ec.fits,REFSPEC1 = 120904.0003.ec.fits 120904.0003.ec.fits updated add 120904.0004.ec.fits,REFSPEC1 = 120904.0004.ec.fits 120904.0004.ec.fits updated Flatfielding extracted arcs and object spectra... parameter 120904.0001.ec.fits,UTMIDDLE already exists 120904.0001.ec.fits updated 120904.0001.ec.fits,UTMIDDLE: 07:18:16.015 -> 07:18:50.015053 120904.0001.ec.fits updated parameter 120904.0002.ec.fits,UTMIDDLE already exists 120904.0002.ec.fits updated 120904.0002.ec.fits,UTMIDDLE: 07:21:07.383 -> 07:21:41.382774 120904.0002.ec.fits updated parameter 120904.0003.ec.fits,UTMIDDLE already exists 120904.0003.ec.fits updated 120904.0003.ec.fits,UTMIDDLE: 07:24:09.908 -> 07:24:43.907768 120904.0003.ec.fits updated parameter 120904.0004.ec.fits,UTMIDDLE already exists 120904.0004.ec.fits updated 120904.0004.ec.fits,UTMIDDLE: 07:27:12.103 -> 07:27:46.103207 120904.0004.ec.fits updated parameter 120904.0021.ec.fits,UTMIDDLE already exists 120904.0021.ec.fits updated 120904.0021.ec.fits,UTMIDDLE: 09:00:06.757 -> 09:00:40.757796 120904.0021.ec.fits updated parameter 120904.0022.ec.fits,UTMIDDLE already exists 120904.0022.ec.fits updated 120904.0022.ec.fits,UTMIDDLE: 09:16:11.949 -> 09:16:45.949183 120904.0022.ec.fits updated parameter 120904.0023.ec.fits,UTMIDDLE already exists 120904.0023.ec.fits updated 120904.0023.ec.fits,UTMIDDLE: 09:37:28.552 -> 09:38:02.552416 120904.0023.ec.fits updated parameter 120904.0024.ec.fits,UTMIDDLE already exists 120904.0024.ec.fits updated 120904.0024.ec.fits,UTMIDDLE: 09:55:50.966 -> 09:56:24.966157 120904.0024.ec.fits updated parameter 120904.0025.ec.fits,UTMIDDLE already exists 120904.0025.ec.fits updated 120904.0025.ec.fits,UTMIDDLE: 10:45:11.012 -> 10:45:45.012077 120904.0025.ec.fits updated parameter 120904.0026.ec.fits,UTMIDDLE already exists 120904.0026.ec.fits updated 120904.0026.ec.fits,UTMIDDLE: 11:17:48.782 -> 11:18:22.782378 120904.0026.ec.fits updated parameter 120904.0027.ec.fits,UTMIDDLE already exists 120904.0027.ec.fits updated 120904.0027.ec.fits,UTMIDDLE: 11:41:02.669 -> 11:41:36.669054 120904.0027.ec.fits updated Setting Julian Date Keywords # Image jd hjd ljd # SETJD: Observatory parameters for Apache Point Observatory # timezone = 7 120904.0021.ec.fits 2456174.87547 2456174.87774 2456174 120904.0022.ec.fits 2456174.88664 2456174.88812 2456174 120904.0023.ec.fits 2456174.90142 2456174.90355 2456174 120904.0024.ec.fits 2456174.91418 2456174.91665 2456174 120904.0025.ec.fits 2456174.94844 2456174.94998 2456174 120904.0026.ec.fits 2456174.97110 2456174.96957 2456174 120904.0027.ec.fits 2456174.98723 2456174.98756 2456174 ECREIDENTIFY: NOAO/IRAF V2.16.1 jeanm12@tequila.nmsu.edu Tue 12:18:17 10-Dec-2013 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS 120904.0001.ec 1169/2055 1169/1169 3.18 -23.3 -4.1E-5 0.0122 120904.0002.ec 2043/2055 2043/2043 3.18 -23.3 -4.1E-5 0.00754 120904.0003.ec 2042/2055 2042/2042 3.16 -23.1 -4.1E-5 0.00763 120904.0004.ec 2046/2055 2046/2046 3.15 -23.1 -4.1E-5 0.00947 [120904.0021.ec] refspec1='120904.0004.ec' [120904.0022.ec] refspec1='120904.0004.ec' [120904.0023.ec] refspec1='120904.0004.ec' [120904.0024.ec] refspec1='120904.0004.ec' [120904.0025.ec] refspec1='120904.0004.ec' [120904.0026.ec] refspec1='120904.0004.ec' [120904.0027.ec] refspec1='120904.0004.ec' [120904.0001.ec] refspec1='120904.0001.ec' [120904.0002.ec] refspec1='120904.0002.ec' [120904.0003.ec] refspec1='120904.0003.ec' [120904.0004.ec] refspec1='120904.0004.ec' 120904.0021.ec.fits: REFSPEC1 = '120904.0004.ec 1.' 120904.0021.ec.fits: ap = 1, w1 = 10812.16, w2 = 10584., dw = -0.13827, nw = 1651 120904.0021.ec.fits: ap = 2, w1 = 10611.95, w2 = 10388.02, dw = -0.13571, nw = 1651 120904.0021.ec.fits: ap = 3, w1 = 10419.02, w2 = 10199.17, dw = -0.13325, nw = 1651 120904.0021.ec.fits: ap = 4, w1 = 10232.99, w2 = 10017.06, dw = -0.13087, nw = 1651 120904.0021.ec.fits: ap = 5, w1 = 10053.48, w2 = 9841.337, dw = -0.12857, nw = 1651 120904.0021.ec.fits: ap = 6, w1 = 9880.158, w2 = 9671.675, dw = -0.12635, nw = 1651 120904.0021.ec.fits: ap = 7, w1 = 9712.713, w2 = 9507.765, dw = -0.12421, nw = 1651 120904.0021.ec.fits: ap = 8, w1 = 9550.849, w2 = 9349.317, dw = -0.12214, nw = 1651 120904.0021.ec.fits: ap = 9, w1 = 9394.292, w2 = 9196.065, dw = -0.12014, nw = 1651 120904.0021.ec.fits: ap = 10, w1 = 9242.786, w2 = 9047.756, dw = -0.1182, nw = 1651 120904.0021.ec.fits: ap = 11, w1 = 9096.088, w2 = 8904.156, dw = -0.11632, nw = 1651 120904.0021.ec.fits: ap = 12, w1 = 8953.975, w2 = 8765.042, dw = -0.1145, nw = 1651 120904.0021.ec.fits: ap = 13, w1 = 8816.234, w2 = 8630.209, dw = -0.11274, nw = 1651 120904.0021.ec.fits: ap = 14, w1 = 8682.667, w2 = 8499.462, dw = -0.11103, nw = 1651 120904.0021.ec.fits: ap = 15, w1 = 8553.087, w2 = 8372.618, dw = -0.10938, nw = 1651 120904.0021.ec.fits: ap = 16, w1 = 8427.318, w2 = 8249.504, dw = -0.10777, nw = 1651 120904.0021.ec.fits: ap = 17, w1 = 8305.195, w2 = 8129.959, dw = -0.1062, nw = 1651 120904.0021.ec.fits: ap = 18, w1 = 8186.56, w2 = 8013.829, dw = -0.10469, nw = 1651 120904.0021.ec.fits: ap = 19, w1 = 8071.267, w2 = 7900.971, dw = -0.10321, nw = 1651 120904.0021.ec.fits: ap = 20, w1 = 7959.177, w2 = 7791.247, dw = -0.10178, nw = 1651 120904.0021.ec.fits: ap = 21, w1 = 7850.158, w2 = 7684.53, dw = -0.10038, nw = 1651 120904.0021.ec.fits: ap = 22, w1 = 7744.085, w2 = 7580.697, dw = -0.09902, nw = 1651 120904.0021.ec.fits: ap = 23, w1 = 7640.84, w2 = 7479.632, dw = -0.0977, nw = 1651 120904.0021.ec.fits: ap = 24, w1 = 7540.313, w2 = 7381.228, dw = -0.09642, nw = 1651 120904.0021.ec.fits: ap = 25, w1 = 7442.396, w2 = 7285.379, dw = -0.09516, nw = 1651 120904.0021.ec.fits: ap = 26, w1 = 7346.991, w2 = 7191.988, dw = -0.09394, nw = 1651 120904.0021.ec.fits: ap = 27, w1 = 7254., w2 = 7100.961, dw = -0.09275, nw = 1651 120904.0021.ec.fits: ap = 28, w1 = 7163.335, w2 = 7012.21, dw = -0.09159, nw = 1651 120904.0021.ec.fits: ap = 29, w1 = 7074.907, w2 = 6925.651, dw = -0.09046, nw = 1651 120904.0021.ec.fits: ap = 30, w1 = 6988.637, w2 = 6841.203, dw = -0.08935, nw = 1651 120904.0021.ec.fits: ap = 31, w1 = 6904.446, w2 = 6758.789, dw = -0.08828, nw = 1651 120904.0021.ec.fits: ap = 32, w1 = 6822.259, w2 = 6678.338, dw = -0.08722, nw = 1651 120904.0021.ec.fits: ap = 33, w1 = 6742.006, w2 = 6599.78, dw = -0.0862, nw = 1651 120904.0021.ec.fits: ap = 34, w1 = 6663.619, w2 = 6523.049, dw = -0.08519, nw = 1651 120904.0021.ec.fits: ap = 35, w1 = 6587.034, w2 = 6448.082, dw = -0.08421, nw = 1651 120904.0021.ec.fits: ap = 36, w1 = 6512.19, w2 = 6374.819, dw = -0.08326, nw = 1651 120904.0021.ec.fits: ap = 37, w1 = 6439.028, w2 = 6303.202, dw = -0.08232, nw = 1651 120904.0021.ec.fits: ap = 38, w1 = 6367.492, w2 = 6233.177, dw = -0.0814, nw = 1651 120904.0021.ec.fits: ap = 39, w1 = 6297.528, w2 = 6164.691, dw = -0.08051, nw = 1651 120904.0021.ec.fits: ap = 40, w1 = 6229.085, w2 = 6097.694, dw = -0.07963, nw = 1651 120904.0021.ec.fits: ap = 41, w1 = 6162.114, w2 = 6032.137, dw = -0.07877, nw = 1651 120904.0021.ec.fits: ap = 42, w1 = 6096.568, w2 = 5967.976, dw = -0.07793, nw = 1651 120904.0021.ec.fits: ap = 43, w1 = 6032.402, w2 = 5905.165, dw = -0.07711, nw = 1651 120904.0021.ec.fits: ap = 44, w1 = 5969.572, w2 = 5843.663, dw = -0.07631, nw = 1651 120904.0021.ec.fits: ap = 45, w1 = 5908.039, w2 = 5783.43, dw = -0.07552, nw = 1651 120904.0021.ec.fits: ap = 46, w1 = 5847.761, w2 = 5724.425, dw = -0.07475, nw = 1651 120904.0021.ec.fits: ap = 47, w1 = 5788.701, w2 = 5666.613, dw = -0.07399, nw = 1651 120904.0021.ec.fits: ap = 48, w1 = 5730.822, w2 = 5609.957, dw = -0.07325, nw = 1651 120904.0021.ec.fits: ap = 49, w1 = 5674.089, w2 = 5554.423, dw = -0.07253, nw = 1651 120904.0021.ec.fits: ap = 50, w1 = 5618.469, w2 = 5499.978, dw = -0.07181, nw = 1651 120904.0021.ec.fits: ap = 51, w1 = 5563.929, w2 = 5446.59, dw = -0.07111, nw = 1651 120904.0021.ec.fits: ap = 52, w1 = 5510.438, w2 = 5394.229, dw = -0.07043, nw = 1651 120904.0021.ec.fits: ap = 53, w1 = 5457.966, w2 = 5342.865, dw = -0.06976, nw = 1651 120904.0021.ec.fits: ap = 54, w1 = 5406.484, w2 = 5292.471, dw = -0.0691, nw = 1651 120904.0021.ec.fits: ap = 55, w1 = 5355.964, w2 = 5243.019, dw = -0.06845, nw = 1651 120904.0021.ec.fits: ap = 56, w1 = 5306.38, w2 = 5194.482, dw = -0.06782, nw = 1651 120904.0021.ec.fits: ap = 57, w1 = 5257.706, w2 = 5146.836, dw = -0.06719, nw = 1651 120904.0021.ec.fits: ap = 58, w1 = 5209.917, w2 = 5100.057, dw = -0.06658, nw = 1651 120904.0021.ec.fits: ap = 59, w1 = 5162.989, w2 = 5054.12, dw = -0.06598, nw = 1651 120904.0021.ec.fits: ap = 60, w1 = 5116.899, w2 = 5009.004, dw = -0.06539, nw = 1651 120904.0021.ec.fits: ap = 61, w1 = 5071.625, w2 = 4964.687, dw = -0.06481, nw = 1651 120904.0021.ec.fits: ap = 62, w1 = 5027.145, w2 = 4921.147, dw = -0.06424, nw = 1651 120904.0021.ec.fits: ap = 63, w1 = 4983.439, w2 = 4878.364, dw = -0.06368, nw = 1651 120904.0021.ec.fits: ap = 64, w1 = 4940.487, w2 = 4836.319, dw = -0.06313, nw = 1651 120904.0021.ec.fits: ap = 65, w1 = 4898.269, w2 = 4794.993, dw = -0.06259, nw = 1651 120904.0021.ec.fits: ap = 66, w1 = 4856.766, w2 = 4754.367, dw = -0.06206, nw = 1651 120904.0021.ec.fits: ap = 67, w1 = 4815.961, w2 = 4714.425, dw = -0.06154, nw = 1651 120904.0021.ec.fits: ap = 68, w1 = 4775.837, w2 = 4675.147, dw = -0.06102, nw = 1651 120904.0021.ec.fits: ap = 69, w1 = 4736.375, w2 = 4636.52, dw = -0.06052, nw = 1651 120904.0021.ec.fits: ap = 70, w1 = 4697.561, w2 = 4598.525, dw = -0.06002, nw = 1651 120904.0021.ec.fits: ap = 71, w1 = 4659.378, w2 = 4561.149, dw = -0.05953, nw = 1651 120904.0021.ec.fits: ap = 72, w1 = 4621.81, w2 = 4524.375, dw = -0.05905, nw = 1651 120904.0021.ec.fits: ap = 73, w1 = 4584.844, w2 = 4488.19, dw = -0.05858, nw = 1651 120904.0021.ec.fits: ap = 74, w1 = 4548.465, w2 = 4452.579, dw = -0.05811, nw = 1651 120904.0021.ec.fits: ap = 75, w1 = 4512.658, w2 = 4417.529, dw = -0.05765, nw = 1651 120904.0021.ec.fits: ap = 76, w1 = 4477.412, w2 = 4383.026, dw = -0.0572, nw = 1651 120904.0021.ec.fits: ap = 77, w1 = 4442.711, w2 = 4349.059, dw = -0.05676, nw = 1651 120904.0021.ec.fits: ap = 78, w1 = 4408.545, w2 = 4315.614, dw = -0.05632, nw = 1651 120904.0021.ec.fits: ap = 79, w1 = 4374.9, w2 = 4282.68, dw = -0.05589, nw = 1651 120904.0021.ec.fits: ap = 80, w1 = 4341.766, w2 = 4250.245, dw = -0.05547, nw = 1651 120904.0021.ec.fits: ap = 81, w1 = 4309.129, w2 = 4218.298, dw = -0.05505, nw = 1651 120904.0021.ec.fits: ap = 82, w1 = 4276.98, w2 = 4186.827, dw = -0.05464, nw = 1651 120904.0021.ec.fits: ap = 83, w1 = 4245.307, w2 = 4155.823, dw = -0.05423, nw = 1651 120904.0021.ec.fits: ap = 84, w1 = 4214.1, w2 = 4125.275, dw = -0.05383, nw = 1651 120904.0021.ec.fits: ap = 85, w1 = 4183.348, w2 = 4095.172, dw = -0.05344, nw = 1651 120904.0021.ec.fits: ap = 86, w1 = 4153.042, w2 = 4065.506, dw = -0.05305, nw = 1651 120904.0021.ec.fits: ap = 87, w1 = 4123.172, w2 = 4036.267, dw = -0.05267, nw = 1651 120904.0021.ec.fits: ap = 88, w1 = 4093.729, w2 = 4007.446, dw = -0.05229, nw = 1651 120904.0021.ec.fits: ap = 89, w1 = 4064.704, w2 = 3979.033, dw = -0.05192, nw = 1651 120904.0021.ec.fits: ap = 90, w1 = 4036.088, w2 = 3951.02, dw = -0.05156, nw = 1651 120904.0021.ec.fits: ap = 91, w1 = 4007.871, w2 = 3923.4, dw = -0.05119, nw = 1651 120904.0021.ec.fits: ap = 92, w1 = 3980.047, w2 = 3896.162, dw = -0.05084, nw = 1651 120904.0021.ec.fits: ap = 93, w1 = 3952.606, w2 = 3869.301, dw = -0.05049, nw = 1651 120904.0021.ec.fits: ap = 94, w1 = 3925.542, w2 = 3842.807, dw = -0.05014, nw = 1651 120904.0021.ec.fits: ap = 95, w1 = 3898.846, w2 = 3816.674, dw = -0.0498, nw = 1651 120904.0021.ec.fits: ap = 96, w1 = 3872.51, w2 = 3790.894, dw = -0.04946, nw = 1651 120904.0021.ec.fits: ap = 97, w1 = 3846.528, w2 = 3765.46, dw = -0.04913, nw = 1651 120904.0021.ec.fits: ap = 98, w1 = 3820.892, w2 = 3740.365, dw = -0.0488, nw = 1651 120904.0021.ec.fits: ap = 99, w1 = 3795.596, w2 = 3715.603, dw = -0.04848, nw = 1651 120904.0021.ec.fits: ap = 100, w1 = 3770.633, w2 = 3691.166, dw = -0.04816, nw = 1651 120904.0021.ec.fits: ap = 101, w1 = 3745.996, w2 = 3667.049, dw = -0.04785, nw = 1651 120904.0021.ec.fits: ap = 102, w1 = 3721.679, w2 = 3643.244, dw = -0.04754, nw = 1651 120904.0021.ec.fits: ap = 103, w1 = 3697.676, w2 = 3619.747, dw = -0.04723, nw = 1651 120904.0021.ec.fits: ap = 104, w1 = 3673.98, w2 = 3596.551, dw = -0.04693, nw = 1651 120904.0021.ec.fits: ap = 105, w1 = 3650.587, w2 = 3573.65, dw = -0.04663, nw = 1651 120904.0021.ec.fits: ap = 106, w1 = 3627.489, w2 = 3551.04, dw = -0.04633, nw = 1651 120904.0021.ec.fits: ap = 107, w1 = 3604.682, w2 = 3528.713, dw = -0.04604, nw = 1651 120904.0021.ec.fits: ap = 108, w1 = 3582.16, w2 = 3506.666, dw = -0.04575, nw = 1651 120904.0021.ec.fits: ap = 109, w1 = 3559.918, w2 = 3484.892, dw = -0.04547, nw = 1651 120904.0021.ec.fits: ap = 110, w1 = 3537.95, w2 = 3463.387, dw = -0.04519, nw = 1651 120904.0021.ec.fits: ap = 111, w1 = 3516.252, w2 = 3442.146, dw = -0.04491, nw = 1651 120904.0021.ec.fits: ap = 112, w1 = 3494.818, w2 = 3421.163, dw = -0.04464, nw = 1651 120904.0021.ec.fits: ap = 113, w1 = 3473.644, w2 = 3400.435, dw = -0.04437, nw = 1651 120904.0021.ec.fits: ap = 114, w1 = 3452.726, w2 = 3379.957, dw = -0.0441, nw = 1651 120904.0021.ec.fits: ap = 115, w1 = 3432.057, w2 = 3359.723, dw = -0.04384, nw = 1651 120904.0022.ec.fits: REFSPEC1 = '120904.0004.ec 1.' 120904.0022.ec.fits: ap = 1, w1 = 10812.16, w2 = 10584., dw = -0.13827, nw = 1651 120904.0022.ec.fits: ap = 2, w1 = 10611.95, w2 = 10388.02, dw = -0.13571, nw = 1651 120904.0022.ec.fits: ap = 3, w1 = 10419.02, w2 = 10199.17, dw = -0.13325, nw = 1651 120904.0022.ec.fits: ap = 4, w1 = 10232.99, w2 = 10017.06, dw = -0.13087, nw = 1651 120904.0022.ec.fits: ap = 5, w1 = 10053.48, w2 = 9841.337, dw = -0.12857, nw = 1651 120904.0022.ec.fits: ap = 6, w1 = 9880.158, w2 = 9671.675, dw = -0.12635, nw = 1651 120904.0022.ec.fits: ap = 7, w1 = 9712.713, w2 = 9507.765, dw = -0.12421, nw = 1651 120904.0022.ec.fits: ap = 8, w1 = 9550.849, w2 = 9349.317, dw = -0.12214, nw = 1651 120904.0022.ec.fits: ap = 9, w1 = 9394.292, w2 = 9196.065, dw = -0.12014, nw = 1651 120904.0022.ec.fits: ap = 10, w1 = 9242.786, w2 = 9047.756, dw = -0.1182, nw = 1651 120904.0022.ec.fits: ap = 11, w1 = 9096.088, w2 = 8904.156, dw = -0.11632, nw = 1651 120904.0022.ec.fits: ap = 12, w1 = 8953.975, w2 = 8765.042, dw = -0.1145, nw = 1651 120904.0022.ec.fits: ap = 13, w1 = 8816.234, w2 = 8630.209, dw = -0.11274, nw = 1651 120904.0022.ec.fits: ap = 14, w1 = 8682.667, w2 = 8499.462, dw = -0.11103, nw = 1651 120904.0022.ec.fits: ap = 15, w1 = 8553.087, w2 = 8372.618, dw = -0.10938, nw = 1651 120904.0022.ec.fits: ap = 16, w1 = 8427.318, w2 = 8249.504, dw = -0.10777, nw = 1651 120904.0022.ec.fits: ap = 17, w1 = 8305.195, w2 = 8129.959, dw = -0.1062, nw = 1651 120904.0022.ec.fits: ap = 18, w1 = 8186.56, w2 = 8013.829, dw = -0.10469, nw = 1651 120904.0022.ec.fits: ap = 19, w1 = 8071.267, w2 = 7900.971, dw = -0.10321, nw = 1651 120904.0022.ec.fits: ap = 20, w1 = 7959.177, w2 = 7791.247, dw = -0.10178, nw = 1651 120904.0022.ec.fits: ap = 21, w1 = 7850.158, w2 = 7684.53, dw = -0.10038, nw = 1651 120904.0022.ec.fits: ap = 22, w1 = 7744.085, w2 = 7580.697, dw = -0.09902, nw = 1651 120904.0022.ec.fits: ap = 23, w1 = 7640.84, w2 = 7479.632, dw = -0.0977, nw = 1651 120904.0022.ec.fits: ap = 24, w1 = 7540.313, w2 = 7381.228, dw = -0.09642, nw = 1651 120904.0022.ec.fits: ap = 25, w1 = 7442.396, w2 = 7285.379, dw = -0.09516, nw = 1651 120904.0022.ec.fits: ap = 26, w1 = 7346.991, w2 = 7191.988, dw = -0.09394, nw = 1651 120904.0022.ec.fits: ap = 27, w1 = 7254., w2 = 7100.961, dw = -0.09275, nw = 1651 120904.0022.ec.fits: ap = 28, w1 = 7163.335, w2 = 7012.21, dw = -0.09159, nw = 1651 120904.0022.ec.fits: ap = 29, w1 = 7074.907, w2 = 6925.651, dw = -0.09046, nw = 1651 120904.0022.ec.fits: ap = 30, w1 = 6988.637, w2 = 6841.203, dw = -0.08935, nw = 1651 120904.0022.ec.fits: ap = 31, w1 = 6904.446, w2 = 6758.789, dw = -0.08828, nw = 1651 120904.0022.ec.fits: ap = 32, w1 = 6822.259, w2 = 6678.338, dw = -0.08722, nw = 1651 120904.0022.ec.fits: ap = 33, w1 = 6742.006, w2 = 6599.78, dw = -0.0862, nw = 1651 120904.0022.ec.fits: ap = 34, w1 = 6663.619, w2 = 6523.049, dw = -0.08519, nw = 1651 120904.0022.ec.fits: ap = 35, w1 = 6587.034, w2 = 6448.082, dw = -0.08421, nw = 1651 120904.0022.ec.fits: ap = 36, w1 = 6512.19, w2 = 6374.819, dw = -0.08326, nw = 1651 120904.0022.ec.fits: ap = 37, w1 = 6439.028, w2 = 6303.202, dw = -0.08232, nw = 1651 120904.0022.ec.fits: ap = 38, w1 = 6367.492, w2 = 6233.177, dw = -0.0814, nw = 1651 120904.0022.ec.fits: ap = 39, w1 = 6297.528, w2 = 6164.691, dw = -0.08051, nw = 1651 120904.0022.ec.fits: ap = 40, w1 = 6229.085, w2 = 6097.694, dw = -0.07963, nw = 1651 120904.0022.ec.fits: ap = 41, w1 = 6162.114, w2 = 6032.137, dw = -0.07877, nw = 1651 120904.0022.ec.fits: ap = 42, w1 = 6096.568, w2 = 5967.976, dw = -0.07793, nw = 1651 120904.0022.ec.fits: ap = 43, w1 = 6032.402, w2 = 5905.165, dw = -0.07711, nw = 1651 120904.0022.ec.fits: ap = 44, w1 = 5969.572, w2 = 5843.663, dw = -0.07631, nw = 1651 120904.0022.ec.fits: ap = 45, w1 = 5908.039, w2 = 5783.43, dw = -0.07552, nw = 1651 120904.0022.ec.fits: ap = 46, w1 = 5847.761, w2 = 5724.425, dw = -0.07475, nw = 1651 120904.0022.ec.fits: ap = 47, w1 = 5788.701, w2 = 5666.613, dw = -0.07399, nw = 1651 120904.0022.ec.fits: ap = 48, w1 = 5730.822, w2 = 5609.957, dw = -0.07325, nw = 1651 120904.0022.ec.fits: ap = 49, w1 = 5674.089, w2 = 5554.423, dw = -0.07253, nw = 1651 120904.0022.ec.fits: ap = 50, w1 = 5618.469, w2 = 5499.978, dw = -0.07181, nw = 1651 120904.0022.ec.fits: ap = 51, w1 = 5563.929, w2 = 5446.59, dw = -0.07111, nw = 1651 120904.0022.ec.fits: ap = 52, w1 = 5510.438, w2 = 5394.229, dw = -0.07043, nw = 1651 120904.0022.ec.fits: ap = 53, w1 = 5457.966, w2 = 5342.865, dw = -0.06976, nw = 1651 120904.0022.ec.fits: ap = 54, w1 = 5406.484, w2 = 5292.471, dw = -0.0691, nw = 1651 120904.0022.ec.fits: ap = 55, w1 = 5355.964, w2 = 5243.019, dw = -0.06845, nw = 1651 120904.0022.ec.fits: ap = 56, w1 = 5306.38, w2 = 5194.482, dw = -0.06782, nw = 1651 120904.0022.ec.fits: ap = 57, w1 = 5257.706, w2 = 5146.836, dw = -0.06719, nw = 1651 120904.0022.ec.fits: ap = 58, w1 = 5209.917, w2 = 5100.057, dw = -0.06658, nw = 1651 120904.0022.ec.fits: ap = 59, w1 = 5162.989, w2 = 5054.12, dw = -0.06598, nw = 1651 120904.0022.ec.fits: ap = 60, w1 = 5116.899, w2 = 5009.004, dw = -0.06539, nw = 1651 120904.0022.ec.fits: ap = 61, w1 = 5071.625, w2 = 4964.687, dw = -0.06481, nw = 1651 120904.0022.ec.fits: ap = 62, w1 = 5027.145, w2 = 4921.147, dw = -0.06424, nw = 1651 120904.0022.ec.fits: ap = 63, w1 = 4983.439, w2 = 4878.364, dw = -0.06368, nw = 1651 120904.0022.ec.fits: ap = 64, w1 = 4940.487, w2 = 4836.319, dw = -0.06313, nw = 1651 120904.0022.ec.fits: ap = 65, w1 = 4898.269, w2 = 4794.993, dw = -0.06259, nw = 1651 120904.0022.ec.fits: ap = 66, w1 = 4856.766, w2 = 4754.367, dw = -0.06206, nw = 1651 120904.0022.ec.fits: ap = 67, w1 = 4815.961, w2 = 4714.425, dw = -0.06154, nw = 1651 120904.0022.ec.fits: ap = 68, w1 = 4775.837, w2 = 4675.147, dw = -0.06102, nw = 1651 120904.0022.ec.fits: ap = 69, w1 = 4736.375, w2 = 4636.52, dw = -0.06052, nw = 1651 120904.0022.ec.fits: ap = 70, w1 = 4697.561, w2 = 4598.525, dw = -0.06002, nw = 1651 120904.0022.ec.fits: ap = 71, w1 = 4659.378, w2 = 4561.149, dw = -0.05953, nw = 1651 120904.0022.ec.fits: ap = 72, w1 = 4621.81, w2 = 4524.375, dw = -0.05905, nw = 1651 120904.0022.ec.fits: ap = 73, w1 = 4584.844, w2 = 4488.19, dw = -0.05858, nw = 1651 120904.0022.ec.fits: ap = 74, w1 = 4548.465, w2 = 4452.579, dw = -0.05811, nw = 1651 120904.0022.ec.fits: ap = 75, w1 = 4512.658, w2 = 4417.529, dw = -0.05765, nw = 1651 120904.0022.ec.fits: ap = 76, w1 = 4477.412, w2 = 4383.026, dw = -0.0572, nw = 1651 120904.0022.ec.fits: ap = 77, w1 = 4442.711, w2 = 4349.059, dw = -0.05676, nw = 1651 120904.0022.ec.fits: ap = 78, w1 = 4408.545, w2 = 4315.614, dw = -0.05632, nw = 1651 120904.0022.ec.fits: ap = 79, w1 = 4374.9, w2 = 4282.68, dw = -0.05589, nw = 1651 120904.0022.ec.fits: ap = 80, w1 = 4341.766, w2 = 4250.245, dw = -0.05547, nw = 1651 120904.0022.ec.fits: ap = 81, w1 = 4309.129, w2 = 4218.298, dw = -0.05505, nw = 1651 120904.0022.ec.fits: ap = 82, w1 = 4276.98, w2 = 4186.827, dw = -0.05464, nw = 1651 120904.0022.ec.fits: ap = 83, w1 = 4245.307, w2 = 4155.823, dw = -0.05423, nw = 1651 120904.0022.ec.fits: ap = 84, w1 = 4214.1, w2 = 4125.275, dw = -0.05383, nw = 1651 120904.0022.ec.fits: ap = 85, w1 = 4183.348, w2 = 4095.172, dw = -0.05344, nw = 1651 120904.0022.ec.fits: ap = 86, w1 = 4153.042, w2 = 4065.506, dw = -0.05305, nw = 1651 120904.0022.ec.fits: ap = 87, w1 = 4123.172, w2 = 4036.267, dw = -0.05267, nw = 1651 120904.0022.ec.fits: ap = 88, w1 = 4093.729, w2 = 4007.446, dw = -0.05229, nw = 1651 120904.0022.ec.fits: ap = 89, w1 = 4064.704, w2 = 3979.033, dw = -0.05192, nw = 1651 120904.0022.ec.fits: ap = 90, w1 = 4036.088, w2 = 3951.02, dw = -0.05156, nw = 1651 120904.0022.ec.fits: ap = 91, w1 = 4007.871, w2 = 3923.4, dw = -0.05119, nw = 1651 120904.0022.ec.fits: ap = 92, w1 = 3980.047, w2 = 3896.162, dw = -0.05084, nw = 1651 120904.0022.ec.fits: ap = 93, w1 = 3952.606, w2 = 3869.301, dw = -0.05049, nw = 1651 120904.0022.ec.fits: ap = 94, w1 = 3925.542, w2 = 3842.807, dw = -0.05014, nw = 1651 120904.0022.ec.fits: ap = 95, w1 = 3898.846, w2 = 3816.674, dw = -0.0498, nw = 1651 120904.0022.ec.fits: ap = 96, w1 = 3872.51, w2 = 3790.894, dw = -0.04946, nw = 1651 120904.0022.ec.fits: ap = 97, w1 = 3846.528, w2 = 3765.46, dw = -0.04913, nw = 1651 120904.0022.ec.fits: ap = 98, w1 = 3820.892, w2 = 3740.365, dw = -0.0488, nw = 1651 120904.0022.ec.fits: ap = 99, w1 = 3795.596, w2 = 3715.603, dw = -0.04848, nw = 1651 120904.0022.ec.fits: ap = 100, w1 = 3770.633, w2 = 3691.166, dw = -0.04816, nw = 1651 120904.0022.ec.fits: ap = 101, w1 = 3745.996, w2 = 3667.049, dw = -0.04785, nw = 1651 120904.0022.ec.fits: ap = 102, w1 = 3721.679, w2 = 3643.244, dw = -0.04754, nw = 1651 120904.0022.ec.fits: ap = 103, w1 = 3697.676, w2 = 3619.747, dw = -0.04723, nw = 1651 120904.0022.ec.fits: ap = 104, w1 = 3673.98, w2 = 3596.551, dw = -0.04693, nw = 1651 120904.0022.ec.fits: ap = 105, w1 = 3650.587, w2 = 3573.65, dw = -0.04663, nw = 1651 120904.0022.ec.fits: ap = 106, w1 = 3627.489, w2 = 3551.04, dw = -0.04633, nw = 1651 120904.0022.ec.fits: ap = 107, w1 = 3604.682, w2 = 3528.713, dw = -0.04604, nw = 1651 120904.0022.ec.fits: ap = 108, w1 = 3582.16, w2 = 3506.666, dw = -0.04575, nw = 1651 120904.0022.ec.fits: ap = 109, w1 = 3559.918, w2 = 3484.892, dw = -0.04547, nw = 1651 120904.0022.ec.fits: ap = 110, w1 = 3537.95, w2 = 3463.387, dw = -0.04519, nw = 1651 120904.0022.ec.fits: ap = 111, w1 = 3516.252, w2 = 3442.146, dw = -0.04491, nw = 1651 120904.0022.ec.fits: ap = 112, w1 = 3494.818, w2 = 3421.163, dw = -0.04464, nw = 1651 120904.0022.ec.fits: ap = 113, w1 = 3473.644, w2 = 3400.435, dw = -0.04437, nw = 1651 120904.0022.ec.fits: ap = 114, w1 = 3452.726, w2 = 3379.957, dw = -0.0441, nw = 1651 120904.0022.ec.fits: ap = 115, w1 = 3432.057, w2 = 3359.723, dw = -0.04384, nw = 1651 120904.0023.ec.fits: REFSPEC1 = '120904.0004.ec 1.' 120904.0023.ec.fits: ap = 1, w1 = 10812.16, w2 = 10584., dw = -0.13827, nw = 1651 120904.0023.ec.fits: ap = 2, w1 = 10611.95, w2 = 10388.02, dw = -0.13571, nw = 1651 120904.0023.ec.fits: ap = 3, w1 = 10419.02, w2 = 10199.17, dw = -0.13325, nw = 1651 120904.0023.ec.fits: ap = 4, w1 = 10232.99, w2 = 10017.06, dw = -0.13087, nw = 1651 120904.0023.ec.fits: ap = 5, w1 = 10053.48, w2 = 9841.337, dw = -0.12857, nw = 1651 120904.0023.ec.fits: ap = 6, w1 = 9880.158, w2 = 9671.675, dw = -0.12635, nw = 1651 120904.0023.ec.fits: ap = 7, w1 = 9712.713, w2 = 9507.765, dw = -0.12421, nw = 1651 120904.0023.ec.fits: ap = 8, w1 = 9550.849, w2 = 9349.317, dw = -0.12214, nw = 1651 120904.0023.ec.fits: ap = 9, w1 = 9394.292, w2 = 9196.065, dw = -0.12014, nw = 1651 120904.0023.ec.fits: ap = 10, w1 = 9242.786, w2 = 9047.756, dw = -0.1182, nw = 1651 120904.0023.ec.fits: ap = 11, w1 = 9096.088, w2 = 8904.156, dw = -0.11632, nw = 1651 120904.0023.ec.fits: ap = 12, w1 = 8953.975, w2 = 8765.042, dw = -0.1145, nw = 1651 120904.0023.ec.fits: ap = 13, w1 = 8816.234, w2 = 8630.209, dw = -0.11274, nw = 1651 120904.0023.ec.fits: ap = 14, w1 = 8682.667, w2 = 8499.462, dw = -0.11103, nw = 1651 120904.0023.ec.fits: ap = 15, w1 = 8553.087, w2 = 8372.618, dw = -0.10938, nw = 1651 120904.0023.ec.fits: ap = 16, w1 = 8427.318, w2 = 8249.504, dw = -0.10777, nw = 1651 120904.0023.ec.fits: ap = 17, w1 = 8305.195, w2 = 8129.959, dw = -0.1062, nw = 1651 120904.0023.ec.fits: ap = 18, w1 = 8186.56, w2 = 8013.829, dw = -0.10469, nw = 1651 120904.0023.ec.fits: ap = 19, w1 = 8071.267, w2 = 7900.971, dw = -0.10321, nw = 1651 120904.0023.ec.fits: ap = 20, w1 = 7959.177, w2 = 7791.247, dw = -0.10178, nw = 1651 120904.0023.ec.fits: ap = 21, w1 = 7850.158, w2 = 7684.53, dw = -0.10038, nw = 1651 120904.0023.ec.fits: ap = 22, w1 = 7744.085, w2 = 7580.697, dw = -0.09902, nw = 1651 120904.0023.ec.fits: ap = 23, w1 = 7640.84, w2 = 7479.632, dw = -0.0977, nw = 1651 120904.0023.ec.fits: ap = 24, w1 = 7540.313, w2 = 7381.228, dw = -0.09642, nw = 1651 120904.0023.ec.fits: ap = 25, w1 = 7442.396, w2 = 7285.379, dw = -0.09516, nw = 1651 120904.0023.ec.fits: ap = 26, w1 = 7346.991, w2 = 7191.988, dw = -0.09394, nw = 1651 120904.0023.ec.fits: ap = 27, w1 = 7254., w2 = 7100.961, dw = -0.09275, nw = 1651 120904.0023.ec.fits: ap = 28, w1 = 7163.335, w2 = 7012.21, dw = -0.09159, nw = 1651 120904.0023.ec.fits: ap = 29, w1 = 7074.907, w2 = 6925.651, dw = -0.09046, nw = 1651 120904.0023.ec.fits: ap = 30, w1 = 6988.637, w2 = 6841.203, dw = -0.08935, nw = 1651 120904.0023.ec.fits: ap = 31, w1 = 6904.446, w2 = 6758.789, dw = -0.08828, nw = 1651 120904.0023.ec.fits: ap = 32, w1 = 6822.259, w2 = 6678.338, dw = -0.08722, nw = 1651 120904.0023.ec.fits: ap = 33, w1 = 6742.006, w2 = 6599.78, dw = -0.0862, nw = 1651 120904.0023.ec.fits: ap = 34, w1 = 6663.619, w2 = 6523.049, dw = -0.08519, nw = 1651 120904.0023.ec.fits: ap = 35, w1 = 6587.034, w2 = 6448.082, dw = -0.08421, nw = 1651 120904.0023.ec.fits: ap = 36, w1 = 6512.19, w2 = 6374.819, dw = -0.08326, nw = 1651 120904.0023.ec.fits: ap = 37, w1 = 6439.028, w2 = 6303.202, dw = -0.08232, nw = 1651 120904.0023.ec.fits: ap = 38, w1 = 6367.492, w2 = 6233.177, dw = -0.0814, nw = 1651 120904.0023.ec.fits: ap = 39, w1 = 6297.528, w2 = 6164.691, dw = -0.08051, nw = 1651 120904.0023.ec.fits: ap = 40, w1 = 6229.085, w2 = 6097.694, dw = -0.07963, nw = 1651 120904.0023.ec.fits: ap = 41, w1 = 6162.114, w2 = 6032.137, dw = -0.07877, nw = 1651 120904.0023.ec.fits: ap = 42, w1 = 6096.568, w2 = 5967.976, dw = -0.07793, nw = 1651 120904.0023.ec.fits: ap = 43, w1 = 6032.402, w2 = 5905.165, dw = -0.07711, nw = 1651 120904.0023.ec.fits: ap = 44, w1 = 5969.572, w2 = 5843.663, dw = -0.07631, nw = 1651 120904.0023.ec.fits: ap = 45, w1 = 5908.039, w2 = 5783.43, dw = -0.07552, nw = 1651 120904.0023.ec.fits: ap = 46, w1 = 5847.761, w2 = 5724.425, dw = -0.07475, nw = 1651 120904.0023.ec.fits: ap = 47, w1 = 5788.701, w2 = 5666.613, dw = -0.07399, nw = 1651 120904.0023.ec.fits: ap = 48, w1 = 5730.822, w2 = 5609.957, dw = -0.07325, nw = 1651 120904.0023.ec.fits: ap = 49, w1 = 5674.089, w2 = 5554.423, dw = -0.07253, nw = 1651 120904.0023.ec.fits: ap = 50, w1 = 5618.469, w2 = 5499.978, dw = -0.07181, nw = 1651 120904.0023.ec.fits: ap = 51, w1 = 5563.929, w2 = 5446.59, dw = -0.07111, nw = 1651 120904.0023.ec.fits: ap = 52, w1 = 5510.438, w2 = 5394.229, dw = -0.07043, nw = 1651 120904.0023.ec.fits: ap = 53, w1 = 5457.966, w2 = 5342.865, dw = -0.06976, nw = 1651 120904.0023.ec.fits: ap = 54, w1 = 5406.484, w2 = 5292.471, dw = -0.0691, nw = 1651 120904.0023.ec.fits: ap = 55, w1 = 5355.964, w2 = 5243.019, dw = -0.06845, nw = 1651 120904.0023.ec.fits: ap = 56, w1 = 5306.38, w2 = 5194.482, dw = -0.06782, nw = 1651 120904.0023.ec.fits: ap = 57, w1 = 5257.706, w2 = 5146.836, dw = -0.06719, nw = 1651 120904.0023.ec.fits: ap = 58, w1 = 5209.917, w2 = 5100.057, dw = -0.06658, nw = 1651 120904.0023.ec.fits: ap = 59, w1 = 5162.989, w2 = 5054.12, dw = -0.06598, nw = 1651 120904.0023.ec.fits: ap = 60, w1 = 5116.899, w2 = 5009.004, dw = -0.06539, nw = 1651 120904.0023.ec.fits: ap = 61, w1 = 5071.625, w2 = 4964.687, dw = -0.06481, nw = 1651 120904.0023.ec.fits: ap = 62, w1 = 5027.145, w2 = 4921.147, dw = -0.06424, nw = 1651 120904.0023.ec.fits: ap = 63, w1 = 4983.439, w2 = 4878.364, dw = -0.06368, nw = 1651 120904.0023.ec.fits: ap = 64, w1 = 4940.487, w2 = 4836.319, dw = -0.06313, nw = 1651 120904.0023.ec.fits: ap = 65, w1 = 4898.269, w2 = 4794.993, dw = -0.06259, nw = 1651 120904.0023.ec.fits: ap = 66, w1 = 4856.766, w2 = 4754.367, dw = -0.06206, nw = 1651 120904.0023.ec.fits: ap = 67, w1 = 4815.961, w2 = 4714.425, dw = -0.06154, nw = 1651 120904.0023.ec.fits: ap = 68, w1 = 4775.837, w2 = 4675.147, dw = -0.06102, nw = 1651 120904.0023.ec.fits: ap = 69, w1 = 4736.375, w2 = 4636.52, dw = -0.06052, nw = 1651 120904.0023.ec.fits: ap = 70, w1 = 4697.561, w2 = 4598.525, dw = -0.06002, nw = 1651 120904.0023.ec.fits: ap = 71, w1 = 4659.378, w2 = 4561.149, dw = -0.05953, nw = 1651 120904.0023.ec.fits: ap = 72, w1 = 4621.81, w2 = 4524.375, dw = -0.05905, nw = 1651 120904.0023.ec.fits: ap = 73, w1 = 4584.844, w2 = 4488.19, dw = -0.05858, nw = 1651 120904.0023.ec.fits: ap = 74, w1 = 4548.465, w2 = 4452.579, dw = -0.05811, nw = 1651 120904.0023.ec.fits: ap = 75, w1 = 4512.658, w2 = 4417.529, dw = -0.05765, nw = 1651 120904.0023.ec.fits: ap = 76, w1 = 4477.412, w2 = 4383.026, dw = -0.0572, nw = 1651 120904.0023.ec.fits: ap = 77, w1 = 4442.711, w2 = 4349.059, dw = -0.05676, nw = 1651 120904.0023.ec.fits: ap = 78, w1 = 4408.545, w2 = 4315.614, dw = -0.05632, nw = 1651 120904.0023.ec.fits: ap = 79, w1 = 4374.9, w2 = 4282.68, dw = -0.05589, nw = 1651 120904.0023.ec.fits: ap = 80, w1 = 4341.766, w2 = 4250.245, dw = -0.05547, nw = 1651 120904.0023.ec.fits: ap = 81, w1 = 4309.129, w2 = 4218.298, dw = -0.05505, nw = 1651 120904.0023.ec.fits: ap = 82, w1 = 4276.98, w2 = 4186.827, dw = -0.05464, nw = 1651 120904.0023.ec.fits: ap = 83, w1 = 4245.307, w2 = 4155.823, dw = -0.05423, nw = 1651 120904.0023.ec.fits: ap = 84, w1 = 4214.1, w2 = 4125.275, dw = -0.05383, nw = 1651 120904.0023.ec.fits: ap = 85, w1 = 4183.348, w2 = 4095.172, dw = -0.05344, nw = 1651 120904.0023.ec.fits: ap = 86, w1 = 4153.042, w2 = 4065.506, dw = -0.05305, nw = 1651 120904.0023.ec.fits: ap = 87, w1 = 4123.172, w2 = 4036.267, dw = -0.05267, nw = 1651 120904.0023.ec.fits: ap = 88, w1 = 4093.729, w2 = 4007.446, dw = -0.05229, nw = 1651 120904.0023.ec.fits: ap = 89, w1 = 4064.704, w2 = 3979.033, dw = -0.05192, nw = 1651 120904.0023.ec.fits: ap = 90, w1 = 4036.088, w2 = 3951.02, dw = -0.05156, nw = 1651 120904.0023.ec.fits: ap = 91, w1 = 4007.871, w2 = 3923.4, dw = -0.05119, nw = 1651 120904.0023.ec.fits: ap = 92, w1 = 3980.047, w2 = 3896.162, dw = -0.05084, nw = 1651 120904.0023.ec.fits: ap = 93, w1 = 3952.606, w2 = 3869.301, dw = -0.05049, nw = 1651 120904.0023.ec.fits: ap = 94, w1 = 3925.542, w2 = 3842.807, dw = -0.05014, nw = 1651 120904.0023.ec.fits: ap = 95, w1 = 3898.846, w2 = 3816.674, dw = -0.0498, nw = 1651 120904.0023.ec.fits: ap = 96, w1 = 3872.51, w2 = 3790.894, dw = -0.04946, nw = 1651 120904.0023.ec.fits: ap = 97, w1 = 3846.528, w2 = 3765.46, dw = -0.04913, nw = 1651 120904.0023.ec.fits: ap = 98, w1 = 3820.892, w2 = 3740.365, dw = -0.0488, nw = 1651 120904.0023.ec.fits: ap = 99, w1 = 3795.596, w2 = 3715.603, dw = -0.04848, nw = 1651 120904.0023.ec.fits: ap = 100, w1 = 3770.633, w2 = 3691.166, dw = -0.04816, nw = 1651 120904.0023.ec.fits: ap = 101, w1 = 3745.996, w2 = 3667.049, dw = -0.04785, nw = 1651 120904.0023.ec.fits: ap = 102, w1 = 3721.679, w2 = 3643.244, dw = -0.04754, nw = 1651 120904.0023.ec.fits: ap = 103, w1 = 3697.676, w2 = 3619.747, dw = -0.04723, nw = 1651 120904.0023.ec.fits: ap = 104, w1 = 3673.98, w2 = 3596.551, dw = -0.04693, nw = 1651 120904.0023.ec.fits: ap = 105, w1 = 3650.587, w2 = 3573.65, dw = -0.04663, nw = 1651 120904.0023.ec.fits: ap = 106, w1 = 3627.489, w2 = 3551.04, dw = -0.04633, nw = 1651 120904.0023.ec.fits: ap = 107, w1 = 3604.682, w2 = 3528.713, dw = -0.04604, nw = 1651 120904.0023.ec.fits: ap = 108, w1 = 3582.16, w2 = 3506.666, dw = -0.04575, nw = 1651 120904.0023.ec.fits: ap = 109, w1 = 3559.918, w2 = 3484.892, dw = -0.04547, nw = 1651 120904.0023.ec.fits: ap = 110, w1 = 3537.95, w2 = 3463.387, dw = -0.04519, nw = 1651 120904.0023.ec.fits: ap = 111, w1 = 3516.252, w2 = 3442.146, dw = -0.04491, nw = 1651 120904.0023.ec.fits: ap = 112, w1 = 3494.818, w2 = 3421.163, dw = -0.04464, nw = 1651 120904.0023.ec.fits: ap = 113, w1 = 3473.644, w2 = 3400.435, dw = -0.04437, nw = 1651 120904.0023.ec.fits: ap = 114, w1 = 3452.726, w2 = 3379.957, dw = -0.0441, nw = 1651 120904.0023.ec.fits: ap = 115, w1 = 3432.057, w2 = 3359.723, dw = -0.04384, nw = 1651 120904.0024.ec.fits: REFSPEC1 = '120904.0004.ec 1.' 120904.0024.ec.fits: ap = 1, w1 = 10812.16, w2 = 10584., dw = -0.13827, nw = 1651 120904.0024.ec.fits: ap = 2, w1 = 10611.95, w2 = 10388.02, dw = -0.13571, nw = 1651 120904.0024.ec.fits: ap = 3, w1 = 10419.02, w2 = 10199.17, dw = -0.13325, nw = 1651 120904.0024.ec.fits: ap = 4, w1 = 10232.99, w2 = 10017.06, dw = -0.13087, nw = 1651 120904.0024.ec.fits: ap = 5, w1 = 10053.48, w2 = 9841.337, dw = -0.12857, nw = 1651 120904.0024.ec.fits: ap = 6, w1 = 9880.158, w2 = 9671.675, dw = -0.12635, nw = 1651 120904.0024.ec.fits: ap = 7, w1 = 9712.713, w2 = 9507.765, dw = -0.12421, nw = 1651 120904.0024.ec.fits: ap = 8, w1 = 9550.849, w2 = 9349.317, dw = -0.12214, nw = 1651 120904.0024.ec.fits: ap = 9, w1 = 9394.292, w2 = 9196.065, dw = -0.12014, nw = 1651 120904.0024.ec.fits: ap = 10, w1 = 9242.786, w2 = 9047.756, dw = -0.1182, nw = 1651 120904.0024.ec.fits: ap = 11, w1 = 9096.088, w2 = 8904.156, dw = -0.11632, nw = 1651 120904.0024.ec.fits: ap = 12, w1 = 8953.975, w2 = 8765.042, dw = -0.1145, nw = 1651 120904.0024.ec.fits: ap = 13, w1 = 8816.234, w2 = 8630.209, dw = -0.11274, nw = 1651 120904.0024.ec.fits: ap = 14, w1 = 8682.667, w2 = 8499.462, dw = -0.11103, nw = 1651 120904.0024.ec.fits: ap = 15, w1 = 8553.087, w2 = 8372.618, dw = -0.10938, nw = 1651 120904.0024.ec.fits: ap = 16, w1 = 8427.318, w2 = 8249.504, dw = -0.10777, nw = 1651 120904.0024.ec.fits: ap = 17, w1 = 8305.195, w2 = 8129.959, dw = -0.1062, nw = 1651 120904.0024.ec.fits: ap = 18, w1 = 8186.56, w2 = 8013.829, dw = -0.10469, nw = 1651 120904.0024.ec.fits: ap = 19, w1 = 8071.267, w2 = 7900.971, dw = -0.10321, nw = 1651 120904.0024.ec.fits: ap = 20, w1 = 7959.177, w2 = 7791.247, dw = -0.10178, nw = 1651 120904.0024.ec.fits: ap = 21, w1 = 7850.158, w2 = 7684.53, dw = -0.10038, nw = 1651 120904.0024.ec.fits: ap = 22, w1 = 7744.085, w2 = 7580.697, dw = -0.09902, nw = 1651 120904.0024.ec.fits: ap = 23, w1 = 7640.84, w2 = 7479.632, dw = -0.0977, nw = 1651 120904.0024.ec.fits: ap = 24, w1 = 7540.313, w2 = 7381.228, dw = -0.09642, nw = 1651 120904.0024.ec.fits: ap = 25, w1 = 7442.396, w2 = 7285.379, dw = -0.09516, nw = 1651 120904.0024.ec.fits: ap = 26, w1 = 7346.991, w2 = 7191.988, dw = -0.09394, nw = 1651 120904.0024.ec.fits: ap = 27, w1 = 7254., w2 = 7100.961, dw = -0.09275, nw = 1651 120904.0024.ec.fits: ap = 28, w1 = 7163.335, w2 = 7012.21, dw = -0.09159, nw = 1651 120904.0024.ec.fits: ap = 29, w1 = 7074.907, w2 = 6925.651, dw = -0.09046, nw = 1651 120904.0024.ec.fits: ap = 30, w1 = 6988.637, w2 = 6841.203, dw = -0.08935, nw = 1651 120904.0024.ec.fits: ap = 31, w1 = 6904.446, w2 = 6758.789, dw = -0.08828, nw = 1651 120904.0024.ec.fits: ap = 32, w1 = 6822.259, w2 = 6678.338, dw = -0.08722, nw = 1651 120904.0024.ec.fits: ap = 33, w1 = 6742.006, w2 = 6599.78, dw = -0.0862, nw = 1651 120904.0024.ec.fits: ap = 34, w1 = 6663.619, w2 = 6523.049, dw = -0.08519, nw = 1651 120904.0024.ec.fits: ap = 35, w1 = 6587.034, w2 = 6448.082, dw = -0.08421, nw = 1651 120904.0024.ec.fits: ap = 36, w1 = 6512.19, w2 = 6374.819, dw = -0.08326, nw = 1651 120904.0024.ec.fits: ap = 37, w1 = 6439.028, w2 = 6303.202, dw = -0.08232, nw = 1651 120904.0024.ec.fits: ap = 38, w1 = 6367.492, w2 = 6233.177, dw = -0.0814, nw = 1651 120904.0024.ec.fits: ap = 39, w1 = 6297.528, w2 = 6164.691, dw = -0.08051, nw = 1651 120904.0024.ec.fits: ap = 40, w1 = 6229.085, w2 = 6097.694, dw = -0.07963, nw = 1651 120904.0024.ec.fits: ap = 41, w1 = 6162.114, w2 = 6032.137, dw = -0.07877, nw = 1651 120904.0024.ec.fits: ap = 42, w1 = 6096.568, w2 = 5967.976, dw = -0.07793, nw = 1651 120904.0024.ec.fits: ap = 43, w1 = 6032.402, w2 = 5905.165, dw = -0.07711, nw = 1651 120904.0024.ec.fits: ap = 44, w1 = 5969.572, w2 = 5843.663, dw = -0.07631, nw = 1651 120904.0024.ec.fits: ap = 45, w1 = 5908.039, w2 = 5783.43, dw = -0.07552, nw = 1651 120904.0024.ec.fits: ap = 46, w1 = 5847.761, w2 = 5724.425, dw = -0.07475, nw = 1651 120904.0024.ec.fits: ap = 47, w1 = 5788.701, w2 = 5666.613, dw = -0.07399, nw = 1651 120904.0024.ec.fits: ap = 48, w1 = 5730.822, w2 = 5609.957, dw = -0.07325, nw = 1651 120904.0024.ec.fits: ap = 49, w1 = 5674.089, w2 = 5554.423, dw = -0.07253, nw = 1651 120904.0024.ec.fits: ap = 50, w1 = 5618.469, w2 = 5499.978, dw = -0.07181, nw = 1651 120904.0024.ec.fits: ap = 51, w1 = 5563.929, w2 = 5446.59, dw = -0.07111, nw = 1651 120904.0024.ec.fits: ap = 52, w1 = 5510.438, w2 = 5394.229, dw = -0.07043, nw = 1651 120904.0024.ec.fits: ap = 53, w1 = 5457.966, w2 = 5342.865, dw = -0.06976, nw = 1651 120904.0024.ec.fits: ap = 54, w1 = 5406.484, w2 = 5292.471, dw = -0.0691, nw = 1651 120904.0024.ec.fits: ap = 55, w1 = 5355.964, w2 = 5243.019, dw = -0.06845, nw = 1651 120904.0024.ec.fits: ap = 56, w1 = 5306.38, w2 = 5194.482, dw = -0.06782, nw = 1651 120904.0024.ec.fits: ap = 57, w1 = 5257.706, w2 = 5146.836, dw = -0.06719, nw = 1651 120904.0024.ec.fits: ap = 58, w1 = 5209.917, w2 = 5100.057, dw = -0.06658, nw = 1651 120904.0024.ec.fits: ap = 59, w1 = 5162.989, w2 = 5054.12, dw = -0.06598, nw = 1651 120904.0024.ec.fits: ap = 60, w1 = 5116.899, w2 = 5009.004, dw = -0.06539, nw = 1651 120904.0024.ec.fits: ap = 61, w1 = 5071.625, w2 = 4964.687, dw = -0.06481, nw = 1651 120904.0024.ec.fits: ap = 62, w1 = 5027.145, w2 = 4921.147, dw = -0.06424, nw = 1651 120904.0024.ec.fits: ap = 63, w1 = 4983.439, w2 = 4878.364, dw = -0.06368, nw = 1651 120904.0024.ec.fits: ap = 64, w1 = 4940.487, w2 = 4836.319, dw = -0.06313, nw = 1651 120904.0024.ec.fits: ap = 65, w1 = 4898.269, w2 = 4794.993, dw = -0.06259, nw = 1651 120904.0024.ec.fits: ap = 66, w1 = 4856.766, w2 = 4754.367, dw = -0.06206, nw = 1651 120904.0024.ec.fits: ap = 67, w1 = 4815.961, w2 = 4714.425, dw = -0.06154, nw = 1651 120904.0024.ec.fits: ap = 68, w1 = 4775.837, w2 = 4675.147, dw = -0.06102, nw = 1651 120904.0024.ec.fits: ap = 69, w1 = 4736.375, w2 = 4636.52, dw = -0.06052, nw = 1651 120904.0024.ec.fits: ap = 70, w1 = 4697.561, w2 = 4598.525, dw = -0.06002, nw = 1651 120904.0024.ec.fits: ap = 71, w1 = 4659.378, w2 = 4561.149, dw = -0.05953, nw = 1651 120904.0024.ec.fits: ap = 72, w1 = 4621.81, w2 = 4524.375, dw = -0.05905, nw = 1651 120904.0024.ec.fits: ap = 73, w1 = 4584.844, w2 = 4488.19, dw = -0.05858, nw = 1651 120904.0024.ec.fits: ap = 74, w1 = 4548.465, w2 = 4452.579, dw = -0.05811, nw = 1651 120904.0024.ec.fits: ap = 75, w1 = 4512.658, w2 = 4417.529, dw = -0.05765, nw = 1651 120904.0024.ec.fits: ap = 76, w1 = 4477.412, w2 = 4383.026, dw = -0.0572, nw = 1651 120904.0024.ec.fits: ap = 77, w1 = 4442.711, w2 = 4349.059, dw = -0.05676, nw = 1651 120904.0024.ec.fits: ap = 78, w1 = 4408.545, w2 = 4315.614, dw = -0.05632, nw = 1651 120904.0024.ec.fits: ap = 79, w1 = 4374.9, w2 = 4282.68, dw = -0.05589, nw = 1651 120904.0024.ec.fits: ap = 80, w1 = 4341.766, w2 = 4250.245, dw = -0.05547, nw = 1651 120904.0024.ec.fits: ap = 81, w1 = 4309.129, w2 = 4218.298, dw = -0.05505, nw = 1651 120904.0024.ec.fits: ap = 82, w1 = 4276.98, w2 = 4186.827, dw = -0.05464, nw = 1651 120904.0024.ec.fits: ap = 83, w1 = 4245.307, w2 = 4155.823, dw = -0.05423, nw = 1651 120904.0024.ec.fits: ap = 84, w1 = 4214.1, w2 = 4125.275, dw = -0.05383, nw = 1651 120904.0024.ec.fits: ap = 85, w1 = 4183.348, w2 = 4095.172, dw = -0.05344, nw = 1651 120904.0024.ec.fits: ap = 86, w1 = 4153.042, w2 = 4065.506, dw = -0.05305, nw = 1651 120904.0024.ec.fits: ap = 87, w1 = 4123.172, w2 = 4036.267, dw = -0.05267, nw = 1651 120904.0024.ec.fits: ap = 88, w1 = 4093.729, w2 = 4007.446, dw = -0.05229, nw = 1651 120904.0024.ec.fits: ap = 89, w1 = 4064.704, w2 = 3979.033, dw = -0.05192, nw = 1651 120904.0024.ec.fits: ap = 90, w1 = 4036.088, w2 = 3951.02, dw = -0.05156, nw = 1651 120904.0024.ec.fits: ap = 91, w1 = 4007.871, w2 = 3923.4, dw = -0.05119, nw = 1651 120904.0024.ec.fits: ap = 92, w1 = 3980.047, w2 = 3896.162, dw = -0.05084, nw = 1651 120904.0024.ec.fits: ap = 93, w1 = 3952.606, w2 = 3869.301, dw = -0.05049, nw = 1651 120904.0024.ec.fits: ap = 94, w1 = 3925.542, w2 = 3842.807, dw = -0.05014, nw = 1651 120904.0024.ec.fits: ap = 95, w1 = 3898.846, w2 = 3816.674, dw = -0.0498, nw = 1651 120904.0024.ec.fits: ap = 96, w1 = 3872.51, w2 = 3790.894, dw = -0.04946, nw = 1651 120904.0024.ec.fits: ap = 97, w1 = 3846.528, w2 = 3765.46, dw = -0.04913, nw = 1651 120904.0024.ec.fits: ap = 98, w1 = 3820.892, w2 = 3740.365, dw = -0.0488, nw = 1651 120904.0024.ec.fits: ap = 99, w1 = 3795.596, w2 = 3715.603, dw = -0.04848, nw = 1651 120904.0024.ec.fits: ap = 100, w1 = 3770.633, w2 = 3691.166, dw = -0.04816, nw = 1651 120904.0024.ec.fits: ap = 101, w1 = 3745.996, w2 = 3667.049, dw = -0.04785, nw = 1651 120904.0024.ec.fits: ap = 102, w1 = 3721.679, w2 = 3643.244, dw = -0.04754, nw = 1651 120904.0024.ec.fits: ap = 103, w1 = 3697.676, w2 = 3619.747, dw = -0.04723, nw = 1651 120904.0024.ec.fits: ap = 104, w1 = 3673.98, w2 = 3596.551, dw = -0.04693, nw = 1651 120904.0024.ec.fits: ap = 105, w1 = 3650.587, w2 = 3573.65, dw = -0.04663, nw = 1651 120904.0024.ec.fits: ap = 106, w1 = 3627.489, w2 = 3551.04, dw = -0.04633, nw = 1651 120904.0024.ec.fits: ap = 107, w1 = 3604.682, w2 = 3528.713, dw = -0.04604, nw = 1651 120904.0024.ec.fits: ap = 108, w1 = 3582.16, w2 = 3506.666, dw = -0.04575, nw = 1651 120904.0024.ec.fits: ap = 109, w1 = 3559.918, w2 = 3484.892, dw = -0.04547, nw = 1651 120904.0024.ec.fits: ap = 110, w1 = 3537.95, w2 = 3463.387, dw = -0.04519, nw = 1651 120904.0024.ec.fits: ap = 111, w1 = 3516.252, w2 = 3442.146, dw = -0.04491, nw = 1651 120904.0024.ec.fits: ap = 112, w1 = 3494.818, w2 = 3421.163, dw = -0.04464, nw = 1651 120904.0024.ec.fits: ap = 113, w1 = 3473.644, w2 = 3400.435, dw = -0.04437, nw = 1651 120904.0024.ec.fits: ap = 114, w1 = 3452.726, w2 = 3379.957, dw = -0.0441, nw = 1651 120904.0024.ec.fits: ap = 115, w1 = 3432.057, w2 = 3359.723, dw = -0.04384, nw = 1651 120904.0025.ec.fits: REFSPEC1 = '120904.0004.ec 1.' 120904.0025.ec.fits: ap = 1, w1 = 10812.16, w2 = 10584., dw = -0.13827, nw = 1651 120904.0025.ec.fits: ap = 2, w1 = 10611.95, w2 = 10388.02, dw = -0.13571, nw = 1651 120904.0025.ec.fits: ap = 3, w1 = 10419.02, w2 = 10199.17, dw = -0.13325, nw = 1651 120904.0025.ec.fits: ap = 4, w1 = 10232.99, w2 = 10017.06, dw = -0.13087, nw = 1651 120904.0025.ec.fits: ap = 5, w1 = 10053.48, w2 = 9841.337, dw = -0.12857, nw = 1651 120904.0025.ec.fits: ap = 6, w1 = 9880.158, w2 = 9671.675, dw = -0.12635, nw = 1651 120904.0025.ec.fits: ap = 7, w1 = 9712.713, w2 = 9507.765, dw = -0.12421, nw = 1651 120904.0025.ec.fits: ap = 8, w1 = 9550.849, w2 = 9349.317, dw = -0.12214, nw = 1651 120904.0025.ec.fits: ap = 9, w1 = 9394.292, w2 = 9196.065, dw = -0.12014, nw = 1651 120904.0025.ec.fits: ap = 10, w1 = 9242.786, w2 = 9047.756, dw = -0.1182, nw = 1651 120904.0025.ec.fits: ap = 11, w1 = 9096.088, w2 = 8904.156, dw = -0.11632, nw = 1651 120904.0025.ec.fits: ap = 12, w1 = 8953.975, w2 = 8765.042, dw = -0.1145, nw = 1651 120904.0025.ec.fits: ap = 13, w1 = 8816.234, w2 = 8630.209, dw = -0.11274, nw = 1651 120904.0025.ec.fits: ap = 14, w1 = 8682.667, w2 = 8499.462, dw = -0.11103, nw = 1651 120904.0025.ec.fits: ap = 15, w1 = 8553.087, w2 = 8372.618, dw = -0.10938, nw = 1651 120904.0025.ec.fits: ap = 16, w1 = 8427.318, w2 = 8249.504, dw = -0.10777, nw = 1651 120904.0025.ec.fits: ap = 17, w1 = 8305.195, w2 = 8129.959, dw = -0.1062, nw = 1651 120904.0025.ec.fits: ap = 18, w1 = 8186.56, w2 = 8013.829, dw = -0.10469, nw = 1651 120904.0025.ec.fits: ap = 19, w1 = 8071.267, w2 = 7900.971, dw = -0.10321, nw = 1651 120904.0025.ec.fits: ap = 20, w1 = 7959.177, w2 = 7791.247, dw = -0.10178, nw = 1651 120904.0025.ec.fits: ap = 21, w1 = 7850.158, w2 = 7684.53, dw = -0.10038, nw = 1651 120904.0025.ec.fits: ap = 22, w1 = 7744.085, w2 = 7580.697, dw = -0.09902, nw = 1651 120904.0025.ec.fits: ap = 23, w1 = 7640.84, w2 = 7479.632, dw = -0.0977, nw = 1651 120904.0025.ec.fits: ap = 24, w1 = 7540.313, w2 = 7381.228, dw = -0.09642, nw = 1651 120904.0025.ec.fits: ap = 25, w1 = 7442.396, w2 = 7285.379, dw = -0.09516, nw = 1651 120904.0025.ec.fits: ap = 26, w1 = 7346.991, w2 = 7191.988, dw = -0.09394, nw = 1651 120904.0025.ec.fits: ap = 27, w1 = 7254., w2 = 7100.961, dw = -0.09275, nw = 1651 120904.0025.ec.fits: ap = 28, w1 = 7163.335, w2 = 7012.21, dw = -0.09159, nw = 1651 120904.0025.ec.fits: ap = 29, w1 = 7074.907, w2 = 6925.651, dw = -0.09046, nw = 1651 120904.0025.ec.fits: ap = 30, w1 = 6988.637, w2 = 6841.203, dw = -0.08935, nw = 1651 120904.0025.ec.fits: ap = 31, w1 = 6904.446, w2 = 6758.789, dw = -0.08828, nw = 1651 120904.0025.ec.fits: ap = 32, w1 = 6822.259, w2 = 6678.338, dw = -0.08722, nw = 1651 120904.0025.ec.fits: ap = 33, w1 = 6742.006, w2 = 6599.78, dw = -0.0862, nw = 1651 120904.0025.ec.fits: ap = 34, w1 = 6663.619, w2 = 6523.049, dw = -0.08519, nw = 1651 120904.0025.ec.fits: ap = 35, w1 = 6587.034, w2 = 6448.082, dw = -0.08421, nw = 1651 120904.0025.ec.fits: ap = 36, w1 = 6512.19, w2 = 6374.819, dw = -0.08326, nw = 1651 120904.0025.ec.fits: ap = 37, w1 = 6439.028, w2 = 6303.202, dw = -0.08232, nw = 1651 120904.0025.ec.fits: ap = 38, w1 = 6367.492, w2 = 6233.177, dw = -0.0814, nw = 1651 120904.0025.ec.fits: ap = 39, w1 = 6297.528, w2 = 6164.691, dw = -0.08051, nw = 1651 120904.0025.ec.fits: ap = 40, w1 = 6229.085, w2 = 6097.694, dw = -0.07963, nw = 1651 120904.0025.ec.fits: ap = 41, w1 = 6162.114, w2 = 6032.137, dw = -0.07877, nw = 1651 120904.0025.ec.fits: ap = 42, w1 = 6096.568, w2 = 5967.976, dw = -0.07793, nw = 1651 120904.0025.ec.fits: ap = 43, w1 = 6032.402, w2 = 5905.165, dw = -0.07711, nw = 1651 120904.0025.ec.fits: ap = 44, w1 = 5969.572, w2 = 5843.663, dw = -0.07631, nw = 1651 120904.0025.ec.fits: ap = 45, w1 = 5908.039, w2 = 5783.43, dw = -0.07552, nw = 1651 120904.0025.ec.fits: ap = 46, w1 = 5847.761, w2 = 5724.425, dw = -0.07475, nw = 1651 120904.0025.ec.fits: ap = 47, w1 = 5788.701, w2 = 5666.613, dw = -0.07399, nw = 1651 120904.0025.ec.fits: ap = 48, w1 = 5730.822, w2 = 5609.957, dw = -0.07325, nw = 1651 120904.0025.ec.fits: ap = 49, w1 = 5674.089, w2 = 5554.423, dw = -0.07253, nw = 1651 120904.0025.ec.fits: ap = 50, w1 = 5618.469, w2 = 5499.978, dw = -0.07181, nw = 1651 120904.0025.ec.fits: ap = 51, w1 = 5563.929, w2 = 5446.59, dw = -0.07111, nw = 1651 120904.0025.ec.fits: ap = 52, w1 = 5510.438, w2 = 5394.229, dw = -0.07043, nw = 1651 120904.0025.ec.fits: ap = 53, w1 = 5457.966, w2 = 5342.865, dw = -0.06976, nw = 1651 120904.0025.ec.fits: ap = 54, w1 = 5406.484, w2 = 5292.471, dw = -0.0691, nw = 1651 120904.0025.ec.fits: ap = 55, w1 = 5355.964, w2 = 5243.019, dw = -0.06845, nw = 1651 120904.0025.ec.fits: ap = 56, w1 = 5306.38, w2 = 5194.482, dw = -0.06782, nw = 1651 120904.0025.ec.fits: ap = 57, w1 = 5257.706, w2 = 5146.836, dw = -0.06719, nw = 1651 120904.0025.ec.fits: ap = 58, w1 = 5209.917, w2 = 5100.057, dw = -0.06658, nw = 1651 120904.0025.ec.fits: ap = 59, w1 = 5162.989, w2 = 5054.12, dw = -0.06598, nw = 1651 120904.0025.ec.fits: ap = 60, w1 = 5116.899, w2 = 5009.004, dw = -0.06539, nw = 1651 120904.0025.ec.fits: ap = 61, w1 = 5071.625, w2 = 4964.687, dw = -0.06481, nw = 1651 120904.0025.ec.fits: ap = 62, w1 = 5027.145, w2 = 4921.147, dw = -0.06424, nw = 1651 120904.0025.ec.fits: ap = 63, w1 = 4983.439, w2 = 4878.364, dw = -0.06368, nw = 1651 120904.0025.ec.fits: ap = 64, w1 = 4940.487, w2 = 4836.319, dw = -0.06313, nw = 1651 120904.0025.ec.fits: ap = 65, w1 = 4898.269, w2 = 4794.993, dw = -0.06259, nw = 1651 120904.0025.ec.fits: ap = 66, w1 = 4856.766, w2 = 4754.367, dw = -0.06206, nw = 1651 120904.0025.ec.fits: ap = 67, w1 = 4815.961, w2 = 4714.425, dw = -0.06154, nw = 1651 120904.0025.ec.fits: ap = 68, w1 = 4775.837, w2 = 4675.147, dw = -0.06102, nw = 1651 120904.0025.ec.fits: ap = 69, w1 = 4736.375, w2 = 4636.52, dw = -0.06052, nw = 1651 120904.0025.ec.fits: ap = 70, w1 = 4697.561, w2 = 4598.525, dw = -0.06002, nw = 1651 120904.0025.ec.fits: ap = 71, w1 = 4659.378, w2 = 4561.149, dw = -0.05953, nw = 1651 120904.0025.ec.fits: ap = 72, w1 = 4621.81, w2 = 4524.375, dw = -0.05905, nw = 1651 120904.0025.ec.fits: ap = 73, w1 = 4584.844, w2 = 4488.19, dw = -0.05858, nw = 1651 120904.0025.ec.fits: ap = 74, w1 = 4548.465, w2 = 4452.579, dw = -0.05811, nw = 1651 120904.0025.ec.fits: ap = 75, w1 = 4512.658, w2 = 4417.529, dw = -0.05765, nw = 1651 120904.0025.ec.fits: ap = 76, w1 = 4477.412, w2 = 4383.026, dw = -0.0572, nw = 1651 120904.0025.ec.fits: ap = 77, w1 = 4442.711, w2 = 4349.059, dw = -0.05676, nw = 1651 120904.0025.ec.fits: ap = 78, w1 = 4408.545, w2 = 4315.614, dw = -0.05632, nw = 1651 120904.0025.ec.fits: ap = 79, w1 = 4374.9, w2 = 4282.68, dw = -0.05589, nw = 1651 120904.0025.ec.fits: ap = 80, w1 = 4341.766, w2 = 4250.245, dw = -0.05547, nw = 1651 120904.0025.ec.fits: ap = 81, w1 = 4309.129, w2 = 4218.298, dw = -0.05505, nw = 1651 120904.0025.ec.fits: ap = 82, w1 = 4276.98, w2 = 4186.827, dw = -0.05464, nw = 1651 120904.0025.ec.fits: ap = 83, w1 = 4245.307, w2 = 4155.823, dw = -0.05423, nw = 1651 120904.0025.ec.fits: ap = 84, w1 = 4214.1, w2 = 4125.275, dw = -0.05383, nw = 1651 120904.0025.ec.fits: ap = 85, w1 = 4183.348, w2 = 4095.172, dw = -0.05344, nw = 1651 120904.0025.ec.fits: ap = 86, w1 = 4153.042, w2 = 4065.506, dw = -0.05305, nw = 1651 120904.0025.ec.fits: ap = 87, w1 = 4123.172, w2 = 4036.267, dw = -0.05267, nw = 1651 120904.0025.ec.fits: ap = 88, w1 = 4093.729, w2 = 4007.446, dw = -0.05229, nw = 1651 120904.0025.ec.fits: ap = 89, w1 = 4064.704, w2 = 3979.033, dw = -0.05192, nw = 1651 120904.0025.ec.fits: ap = 90, w1 = 4036.088, w2 = 3951.02, dw = -0.05156, nw = 1651 120904.0025.ec.fits: ap = 91, w1 = 4007.871, w2 = 3923.4, dw = -0.05119, nw = 1651 120904.0025.ec.fits: ap = 92, w1 = 3980.047, w2 = 3896.162, dw = -0.05084, nw = 1651 120904.0025.ec.fits: ap = 93, w1 = 3952.606, w2 = 3869.301, dw = -0.05049, nw = 1651 120904.0025.ec.fits: ap = 94, w1 = 3925.542, w2 = 3842.807, dw = -0.05014, nw = 1651 120904.0025.ec.fits: ap = 95, w1 = 3898.846, w2 = 3816.674, dw = -0.0498, nw = 1651 120904.0025.ec.fits: ap = 96, w1 = 3872.51, w2 = 3790.894, dw = -0.04946, nw = 1651 120904.0025.ec.fits: ap = 97, w1 = 3846.528, w2 = 3765.46, dw = -0.04913, nw = 1651 120904.0025.ec.fits: ap = 98, w1 = 3820.892, w2 = 3740.365, dw = -0.0488, nw = 1651 120904.0025.ec.fits: ap = 99, w1 = 3795.596, w2 = 3715.603, dw = -0.04848, nw = 1651 120904.0025.ec.fits: ap = 100, w1 = 3770.633, w2 = 3691.166, dw = -0.04816, nw = 1651 120904.0025.ec.fits: ap = 101, w1 = 3745.996, w2 = 3667.049, dw = -0.04785, nw = 1651 120904.0025.ec.fits: ap = 102, w1 = 3721.679, w2 = 3643.244, dw = -0.04754, nw = 1651 120904.0025.ec.fits: ap = 103, w1 = 3697.676, w2 = 3619.747, dw = -0.04723, nw = 1651 120904.0025.ec.fits: ap = 104, w1 = 3673.98, w2 = 3596.551, dw = -0.04693, nw = 1651 120904.0025.ec.fits: ap = 105, w1 = 3650.587, w2 = 3573.65, dw = -0.04663, nw = 1651 120904.0025.ec.fits: ap = 106, w1 = 3627.489, w2 = 3551.04, dw = -0.04633, nw = 1651 120904.0025.ec.fits: ap = 107, w1 = 3604.682, w2 = 3528.713, dw = -0.04604, nw = 1651 120904.0025.ec.fits: ap = 108, w1 = 3582.16, w2 = 3506.666, dw = -0.04575, nw = 1651 120904.0025.ec.fits: ap = 109, w1 = 3559.918, w2 = 3484.892, dw = -0.04547, nw = 1651 120904.0025.ec.fits: ap = 110, w1 = 3537.95, w2 = 3463.387, dw = -0.04519, nw = 1651 120904.0025.ec.fits: ap = 111, w1 = 3516.252, w2 = 3442.146, dw = -0.04491, nw = 1651 120904.0025.ec.fits: ap = 112, w1 = 3494.818, w2 = 3421.163, dw = -0.04464, nw = 1651 120904.0025.ec.fits: ap = 113, w1 = 3473.644, w2 = 3400.435, dw = -0.04437, nw = 1651 120904.0025.ec.fits: ap = 114, w1 = 3452.726, w2 = 3379.957, dw = -0.0441, nw = 1651 120904.0025.ec.fits: ap = 115, w1 = 3432.057, w2 = 3359.723, dw = -0.04384, nw = 1651 120904.0026.ec.fits: REFSPEC1 = '120904.0004.ec 1.' 120904.0026.ec.fits: ap = 1, w1 = 10812.16, w2 = 10584., dw = -0.13827, nw = 1651 120904.0026.ec.fits: ap = 2, w1 = 10611.95, w2 = 10388.02, dw = -0.13571, nw = 1651 120904.0026.ec.fits: ap = 3, w1 = 10419.02, w2 = 10199.17, dw = -0.13325, nw = 1651 120904.0026.ec.fits: ap = 4, w1 = 10232.99, w2 = 10017.06, dw = -0.13087, nw = 1651 120904.0026.ec.fits: ap = 5, w1 = 10053.48, w2 = 9841.337, dw = -0.12857, nw = 1651 120904.0026.ec.fits: ap = 6, w1 = 9880.158, w2 = 9671.675, dw = -0.12635, nw = 1651 120904.0026.ec.fits: ap = 7, w1 = 9712.713, w2 = 9507.765, dw = -0.12421, nw = 1651 120904.0026.ec.fits: ap = 8, w1 = 9550.849, w2 = 9349.317, dw = -0.12214, nw = 1651 120904.0026.ec.fits: ap = 9, w1 = 9394.292, w2 = 9196.065, dw = -0.12014, nw = 1651 120904.0026.ec.fits: ap = 10, w1 = 9242.786, w2 = 9047.756, dw = -0.1182, nw = 1651 120904.0026.ec.fits: ap = 11, w1 = 9096.088, w2 = 8904.156, dw = -0.11632, nw = 1651 120904.0026.ec.fits: ap = 12, w1 = 8953.975, w2 = 8765.042, dw = -0.1145, nw = 1651 120904.0026.ec.fits: ap = 13, w1 = 8816.234, w2 = 8630.209, dw = -0.11274, nw = 1651 120904.0026.ec.fits: ap = 14, w1 = 8682.667, w2 = 8499.462, dw = -0.11103, nw = 1651 120904.0026.ec.fits: ap = 15, w1 = 8553.087, w2 = 8372.618, dw = -0.10938, nw = 1651 120904.0026.ec.fits: ap = 16, w1 = 8427.318, w2 = 8249.504, dw = -0.10777, nw = 1651 120904.0026.ec.fits: ap = 17, w1 = 8305.195, w2 = 8129.959, dw = -0.1062, nw = 1651 120904.0026.ec.fits: ap = 18, w1 = 8186.56, w2 = 8013.829, dw = -0.10469, nw = 1651 120904.0026.ec.fits: ap = 19, w1 = 8071.267, w2 = 7900.971, dw = -0.10321, nw = 1651 120904.0026.ec.fits: ap = 20, w1 = 7959.177, w2 = 7791.247, dw = -0.10178, nw = 1651 120904.0026.ec.fits: ap = 21, w1 = 7850.158, w2 = 7684.53, dw = -0.10038, nw = 1651 120904.0026.ec.fits: ap = 22, w1 = 7744.085, w2 = 7580.697, dw = -0.09902, nw = 1651 120904.0026.ec.fits: ap = 23, w1 = 7640.84, w2 = 7479.632, dw = -0.0977, nw = 1651 120904.0026.ec.fits: ap = 24, w1 = 7540.313, w2 = 7381.228, dw = -0.09642, nw = 1651 120904.0026.ec.fits: ap = 25, w1 = 7442.396, w2 = 7285.379, dw = -0.09516, nw = 1651 120904.0026.ec.fits: ap = 26, w1 = 7346.991, w2 = 7191.988, dw = -0.09394, nw = 1651 120904.0026.ec.fits: ap = 27, w1 = 7254., w2 = 7100.961, dw = -0.09275, nw = 1651 120904.0026.ec.fits: ap = 28, w1 = 7163.335, w2 = 7012.21, dw = -0.09159, nw = 1651 120904.0026.ec.fits: ap = 29, w1 = 7074.907, w2 = 6925.651, dw = -0.09046, nw = 1651 120904.0026.ec.fits: ap = 30, w1 = 6988.637, w2 = 6841.203, dw = -0.08935, nw = 1651 120904.0026.ec.fits: ap = 31, w1 = 6904.446, w2 = 6758.789, dw = -0.08828, nw = 1651 120904.0026.ec.fits: ap = 32, w1 = 6822.259, w2 = 6678.338, dw = -0.08722, nw = 1651 120904.0026.ec.fits: ap = 33, w1 = 6742.006, w2 = 6599.78, dw = -0.0862, nw = 1651 120904.0026.ec.fits: ap = 34, w1 = 6663.619, w2 = 6523.049, dw = -0.08519, nw = 1651 120904.0026.ec.fits: ap = 35, w1 = 6587.034, w2 = 6448.082, dw = -0.08421, nw = 1651 120904.0026.ec.fits: ap = 36, w1 = 6512.19, w2 = 6374.819, dw = -0.08326, nw = 1651 120904.0026.ec.fits: ap = 37, w1 = 6439.028, w2 = 6303.202, dw = -0.08232, nw = 1651 120904.0026.ec.fits: ap = 38, w1 = 6367.492, w2 = 6233.177, dw = -0.0814, nw = 1651 120904.0026.ec.fits: ap = 39, w1 = 6297.528, w2 = 6164.691, dw = -0.08051, nw = 1651 120904.0026.ec.fits: ap = 40, w1 = 6229.085, w2 = 6097.694, dw = -0.07963, nw = 1651 120904.0026.ec.fits: ap = 41, w1 = 6162.114, w2 = 6032.137, dw = -0.07877, nw = 1651 120904.0026.ec.fits: ap = 42, w1 = 6096.568, w2 = 5967.976, dw = -0.07793, nw = 1651 120904.0026.ec.fits: ap = 43, w1 = 6032.402, w2 = 5905.165, dw = -0.07711, nw = 1651 120904.0026.ec.fits: ap = 44, w1 = 5969.572, w2 = 5843.663, dw = -0.07631, nw = 1651 120904.0026.ec.fits: ap = 45, w1 = 5908.039, w2 = 5783.43, dw = -0.07552, nw = 1651 120904.0026.ec.fits: ap = 46, w1 = 5847.761, w2 = 5724.425, dw = -0.07475, nw = 1651 120904.0026.ec.fits: ap = 47, w1 = 5788.701, w2 = 5666.613, dw = -0.07399, nw = 1651 120904.0026.ec.fits: ap = 48, w1 = 5730.822, w2 = 5609.957, dw = -0.07325, nw = 1651 120904.0026.ec.fits: ap = 49, w1 = 5674.089, w2 = 5554.423, dw = -0.07253, nw = 1651 120904.0026.ec.fits: ap = 50, w1 = 5618.469, w2 = 5499.978, dw = -0.07181, nw = 1651 120904.0026.ec.fits: ap = 51, w1 = 5563.929, w2 = 5446.59, dw = -0.07111, nw = 1651 120904.0026.ec.fits: ap = 52, w1 = 5510.438, w2 = 5394.229, dw = -0.07043, nw = 1651 120904.0026.ec.fits: ap = 53, w1 = 5457.966, w2 = 5342.865, dw = -0.06976, nw = 1651 120904.0026.ec.fits: ap = 54, w1 = 5406.484, w2 = 5292.471, dw = -0.0691, nw = 1651 120904.0026.ec.fits: ap = 55, w1 = 5355.964, w2 = 5243.019, dw = -0.06845, nw = 1651 120904.0026.ec.fits: ap = 56, w1 = 5306.38, w2 = 5194.482, dw = -0.06782, nw = 1651 120904.0026.ec.fits: ap = 57, w1 = 5257.706, w2 = 5146.836, dw = -0.06719, nw = 1651 120904.0026.ec.fits: ap = 58, w1 = 5209.917, w2 = 5100.057, dw = -0.06658, nw = 1651 120904.0026.ec.fits: ap = 59, w1 = 5162.989, w2 = 5054.12, dw = -0.06598, nw = 1651 120904.0026.ec.fits: ap = 60, w1 = 5116.899, w2 = 5009.004, dw = -0.06539, nw = 1651 120904.0026.ec.fits: ap = 61, w1 = 5071.625, w2 = 4964.687, dw = -0.06481, nw = 1651 120904.0026.ec.fits: ap = 62, w1 = 5027.145, w2 = 4921.147, dw = -0.06424, nw = 1651 120904.0026.ec.fits: ap = 63, w1 = 4983.439, w2 = 4878.364, dw = -0.06368, nw = 1651 120904.0026.ec.fits: ap = 64, w1 = 4940.487, w2 = 4836.319, dw = -0.06313, nw = 1651 120904.0026.ec.fits: ap = 65, w1 = 4898.269, w2 = 4794.993, dw = -0.06259, nw = 1651 120904.0026.ec.fits: ap = 66, w1 = 4856.766, w2 = 4754.367, dw = -0.06206, nw = 1651 120904.0026.ec.fits: ap = 67, w1 = 4815.961, w2 = 4714.425, dw = -0.06154, nw = 1651 120904.0026.ec.fits: ap = 68, w1 = 4775.837, w2 = 4675.147, dw = -0.06102, nw = 1651 120904.0026.ec.fits: ap = 69, w1 = 4736.375, w2 = 4636.52, dw = -0.06052, nw = 1651 120904.0026.ec.fits: ap = 70, w1 = 4697.561, w2 = 4598.525, dw = -0.06002, nw = 1651 120904.0026.ec.fits: ap = 71, w1 = 4659.378, w2 = 4561.149, dw = -0.05953, nw = 1651 120904.0026.ec.fits: ap = 72, w1 = 4621.81, w2 = 4524.375, dw = -0.05905, nw = 1651 120904.0026.ec.fits: ap = 73, w1 = 4584.844, w2 = 4488.19, dw = -0.05858, nw = 1651 120904.0026.ec.fits: ap = 74, w1 = 4548.465, w2 = 4452.579, dw = -0.05811, nw = 1651 120904.0026.ec.fits: ap = 75, w1 = 4512.658, w2 = 4417.529, dw = -0.05765, nw = 1651 120904.0026.ec.fits: ap = 76, w1 = 4477.412, w2 = 4383.026, dw = -0.0572, nw = 1651 120904.0026.ec.fits: ap = 77, w1 = 4442.711, w2 = 4349.059, dw = -0.05676, nw = 1651 120904.0026.ec.fits: ap = 78, w1 = 4408.545, w2 = 4315.614, dw = -0.05632, nw = 1651 120904.0026.ec.fits: ap = 79, w1 = 4374.9, w2 = 4282.68, dw = -0.05589, nw = 1651 120904.0026.ec.fits: ap = 80, w1 = 4341.766, w2 = 4250.245, dw = -0.05547, nw = 1651 120904.0026.ec.fits: ap = 81, w1 = 4309.129, w2 = 4218.298, dw = -0.05505, nw = 1651 120904.0026.ec.fits: ap = 82, w1 = 4276.98, w2 = 4186.827, dw = -0.05464, nw = 1651 120904.0026.ec.fits: ap = 83, w1 = 4245.307, w2 = 4155.823, dw = -0.05423, nw = 1651 120904.0026.ec.fits: ap = 84, w1 = 4214.1, w2 = 4125.275, dw = -0.05383, nw = 1651 120904.0026.ec.fits: ap = 85, w1 = 4183.348, w2 = 4095.172, dw = -0.05344, nw = 1651 120904.0026.ec.fits: ap = 86, w1 = 4153.042, w2 = 4065.506, dw = -0.05305, nw = 1651 120904.0026.ec.fits: ap = 87, w1 = 4123.172, w2 = 4036.267, dw = -0.05267, nw = 1651 120904.0026.ec.fits: ap = 88, w1 = 4093.729, w2 = 4007.446, dw = -0.05229, nw = 1651 120904.0026.ec.fits: ap = 89, w1 = 4064.704, w2 = 3979.033, dw = -0.05192, nw = 1651 120904.0026.ec.fits: ap = 90, w1 = 4036.088, w2 = 3951.02, dw = -0.05156, nw = 1651 120904.0026.ec.fits: ap = 91, w1 = 4007.871, w2 = 3923.4, dw = -0.05119, nw = 1651 120904.0026.ec.fits: ap = 92, w1 = 3980.047, w2 = 3896.162, dw = -0.05084, nw = 1651 120904.0026.ec.fits: ap = 93, w1 = 3952.606, w2 = 3869.301, dw = -0.05049, nw = 1651 120904.0026.ec.fits: ap = 94, w1 = 3925.542, w2 = 3842.807, dw = -0.05014, nw = 1651 120904.0026.ec.fits: ap = 95, w1 = 3898.846, w2 = 3816.674, dw = -0.0498, nw = 1651 120904.0026.ec.fits: ap = 96, w1 = 3872.51, w2 = 3790.894, dw = -0.04946, nw = 1651 120904.0026.ec.fits: ap = 97, w1 = 3846.528, w2 = 3765.46, dw = -0.04913, nw = 1651 120904.0026.ec.fits: ap = 98, w1 = 3820.892, w2 = 3740.365, dw = -0.0488, nw = 1651 120904.0026.ec.fits: ap = 99, w1 = 3795.596, w2 = 3715.603, dw = -0.04848, nw = 1651 120904.0026.ec.fits: ap = 100, w1 = 3770.633, w2 = 3691.166, dw = -0.04816, nw = 1651 120904.0026.ec.fits: ap = 101, w1 = 3745.996, w2 = 3667.049, dw = -0.04785, nw = 1651 120904.0026.ec.fits: ap = 102, w1 = 3721.679, w2 = 3643.244, dw = -0.04754, nw = 1651 120904.0026.ec.fits: ap = 103, w1 = 3697.676, w2 = 3619.747, dw = -0.04723, nw = 1651 120904.0026.ec.fits: ap = 104, w1 = 3673.98, w2 = 3596.551, dw = -0.04693, nw = 1651 120904.0026.ec.fits: ap = 105, w1 = 3650.587, w2 = 3573.65, dw = -0.04663, nw = 1651 120904.0026.ec.fits: ap = 106, w1 = 3627.489, w2 = 3551.04, dw = -0.04633, nw = 1651 120904.0026.ec.fits: ap = 107, w1 = 3604.682, w2 = 3528.713, dw = -0.04604, nw = 1651 120904.0026.ec.fits: ap = 108, w1 = 3582.16, w2 = 3506.666, dw = -0.04575, nw = 1651 120904.0026.ec.fits: ap = 109, w1 = 3559.918, w2 = 3484.892, dw = -0.04547, nw = 1651 120904.0026.ec.fits: ap = 110, w1 = 3537.95, w2 = 3463.387, dw = -0.04519, nw = 1651 120904.0026.ec.fits: ap = 111, w1 = 3516.252, w2 = 3442.146, dw = -0.04491, nw = 1651 120904.0026.ec.fits: ap = 112, w1 = 3494.818, w2 = 3421.163, dw = -0.04464, nw = 1651 120904.0026.ec.fits: ap = 113, w1 = 3473.644, w2 = 3400.435, dw = -0.04437, nw = 1651 120904.0026.ec.fits: ap = 114, w1 = 3452.726, w2 = 3379.957, dw = -0.0441, nw = 1651 120904.0026.ec.fits: ap = 115, w1 = 3432.057, w2 = 3359.723, dw = -0.04384, nw = 1651 120904.0027.ec.fits: REFSPEC1 = '120904.0004.ec 1.' 120904.0027.ec.fits: ap = 1, w1 = 10812.16, w2 = 10584., dw = -0.13827, nw = 1651 120904.0027.ec.fits: ap = 2, w1 = 10611.95, w2 = 10388.02, dw = -0.13571, nw = 1651 120904.0027.ec.fits: ap = 3, w1 = 10419.02, w2 = 10199.17, dw = -0.13325, nw = 1651 120904.0027.ec.fits: ap = 4, w1 = 10232.99, w2 = 10017.06, dw = -0.13087, nw = 1651 120904.0027.ec.fits: ap = 5, w1 = 10053.48, w2 = 9841.337, dw = -0.12857, nw = 1651 120904.0027.ec.fits: ap = 6, w1 = 9880.158, w2 = 9671.675, dw = -0.12635, nw = 1651 120904.0027.ec.fits: ap = 7, w1 = 9712.713, w2 = 9507.765, dw = -0.12421, nw = 1651 120904.0027.ec.fits: ap = 8, w1 = 9550.849, w2 = 9349.317, dw = -0.12214, nw = 1651 120904.0027.ec.fits: ap = 9, w1 = 9394.292, w2 = 9196.065, dw = -0.12014, nw = 1651 120904.0027.ec.fits: ap = 10, w1 = 9242.786, w2 = 9047.756, dw = -0.1182, nw = 1651 120904.0027.ec.fits: ap = 11, w1 = 9096.088, w2 = 8904.156, dw = -0.11632, nw = 1651 120904.0027.ec.fits: ap = 12, w1 = 8953.975, w2 = 8765.042, dw = -0.1145, nw = 1651 120904.0027.ec.fits: ap = 13, w1 = 8816.234, w2 = 8630.209, dw = -0.11274, nw = 1651 120904.0027.ec.fits: ap = 14, w1 = 8682.667, w2 = 8499.462, dw = -0.11103, nw = 1651 120904.0027.ec.fits: ap = 15, w1 = 8553.087, w2 = 8372.618, dw = -0.10938, nw = 1651 120904.0027.ec.fits: ap = 16, w1 = 8427.318, w2 = 8249.504, dw = -0.10777, nw = 1651 120904.0027.ec.fits: ap = 17, w1 = 8305.195, w2 = 8129.959, dw = -0.1062, nw = 1651 120904.0027.ec.fits: ap = 18, w1 = 8186.56, w2 = 8013.829, dw = -0.10469, nw = 1651 120904.0027.ec.fits: ap = 19, w1 = 8071.267, w2 = 7900.971, dw = -0.10321, nw = 1651 120904.0027.ec.fits: ap = 20, w1 = 7959.177, w2 = 7791.247, dw = -0.10178, nw = 1651 120904.0027.ec.fits: ap = 21, w1 = 7850.158, w2 = 7684.53, dw = -0.10038, nw = 1651 120904.0027.ec.fits: ap = 22, w1 = 7744.085, w2 = 7580.697, dw = -0.09902, nw = 1651 120904.0027.ec.fits: ap = 23, w1 = 7640.84, w2 = 7479.632, dw = -0.0977, nw = 1651 120904.0027.ec.fits: ap = 24, w1 = 7540.313, w2 = 7381.228, dw = -0.09642, nw = 1651 120904.0027.ec.fits: ap = 25, w1 = 7442.396, w2 = 7285.379, dw = -0.09516, nw = 1651 120904.0027.ec.fits: ap = 26, w1 = 7346.991, w2 = 7191.988, dw = -0.09394, nw = 1651 120904.0027.ec.fits: ap = 27, w1 = 7254., w2 = 7100.961, dw = -0.09275, nw = 1651 120904.0027.ec.fits: ap = 28, w1 = 7163.335, w2 = 7012.21, dw = -0.09159, nw = 1651 120904.0027.ec.fits: ap = 29, w1 = 7074.907, w2 = 6925.651, dw = -0.09046, nw = 1651 120904.0027.ec.fits: ap = 30, w1 = 6988.637, w2 = 6841.203, dw = -0.08935, nw = 1651 120904.0027.ec.fits: ap = 31, w1 = 6904.446, w2 = 6758.789, dw = -0.08828, nw = 1651 120904.0027.ec.fits: ap = 32, w1 = 6822.259, w2 = 6678.338, dw = -0.08722, nw = 1651 120904.0027.ec.fits: ap = 33, w1 = 6742.006, w2 = 6599.78, dw = -0.0862, nw = 1651 120904.0027.ec.fits: ap = 34, w1 = 6663.619, w2 = 6523.049, dw = -0.08519, nw = 1651 120904.0027.ec.fits: ap = 35, w1 = 6587.034, w2 = 6448.082, dw = -0.08421, nw = 1651 120904.0027.ec.fits: ap = 36, w1 = 6512.19, w2 = 6374.819, dw = -0.08326, nw = 1651 120904.0027.ec.fits: ap = 37, w1 = 6439.028, w2 = 6303.202, dw = -0.08232, nw = 1651 120904.0027.ec.fits: ap = 38, w1 = 6367.492, w2 = 6233.177, dw = -0.0814, nw = 1651 120904.0027.ec.fits: ap = 39, w1 = 6297.528, w2 = 6164.691, dw = -0.08051, nw = 1651 120904.0027.ec.fits: ap = 40, w1 = 6229.085, w2 = 6097.694, dw = -0.07963, nw = 1651 120904.0027.ec.fits: ap = 41, w1 = 6162.114, w2 = 6032.137, dw = -0.07877, nw = 1651 120904.0027.ec.fits: ap = 42, w1 = 6096.568, w2 = 5967.976, dw = -0.07793, nw = 1651 120904.0027.ec.fits: ap = 43, w1 = 6032.402, w2 = 5905.165, dw = -0.07711, nw = 1651 120904.0027.ec.fits: ap = 44, w1 = 5969.572, w2 = 5843.663, dw = -0.07631, nw = 1651 120904.0027.ec.fits: ap = 45, w1 = 5908.039, w2 = 5783.43, dw = -0.07552, nw = 1651 120904.0027.ec.fits: ap = 46, w1 = 5847.761, w2 = 5724.425, dw = -0.07475, nw = 1651 120904.0027.ec.fits: ap = 47, w1 = 5788.701, w2 = 5666.613, dw = -0.07399, nw = 1651 120904.0027.ec.fits: ap = 48, w1 = 5730.822, w2 = 5609.957, dw = -0.07325, nw = 1651 120904.0027.ec.fits: ap = 49, w1 = 5674.089, w2 = 5554.423, dw = -0.07253, nw = 1651 120904.0027.ec.fits: ap = 50, w1 = 5618.469, w2 = 5499.978, dw = -0.07181, nw = 1651 120904.0027.ec.fits: ap = 51, w1 = 5563.929, w2 = 5446.59, dw = -0.07111, nw = 1651 120904.0027.ec.fits: ap = 52, w1 = 5510.438, w2 = 5394.229, dw = -0.07043, nw = 1651 120904.0027.ec.fits: ap = 53, w1 = 5457.966, w2 = 5342.865, dw = -0.06976, nw = 1651 120904.0027.ec.fits: ap = 54, w1 = 5406.484, w2 = 5292.471, dw = -0.0691, nw = 1651 120904.0027.ec.fits: ap = 55, w1 = 5355.964, w2 = 5243.019, dw = -0.06845, nw = 1651 120904.0027.ec.fits: ap = 56, w1 = 5306.38, w2 = 5194.482, dw = -0.06782, nw = 1651 120904.0027.ec.fits: ap = 57, w1 = 5257.706, w2 = 5146.836, dw = -0.06719, nw = 1651 120904.0027.ec.fits: ap = 58, w1 = 5209.917, w2 = 5100.057, dw = -0.06658, nw = 1651 120904.0027.ec.fits: ap = 59, w1 = 5162.989, w2 = 5054.12, dw = -0.06598, nw = 1651 120904.0027.ec.fits: ap = 60, w1 = 5116.899, w2 = 5009.004, dw = -0.06539, nw = 1651 120904.0027.ec.fits: ap = 61, w1 = 5071.625, w2 = 4964.687, dw = -0.06481, nw = 1651 120904.0027.ec.fits: ap = 62, w1 = 5027.145, w2 = 4921.147, dw = -0.06424, nw = 1651 120904.0027.ec.fits: ap = 63, w1 = 4983.439, w2 = 4878.364, dw = -0.06368, nw = 1651 120904.0027.ec.fits: ap = 64, w1 = 4940.487, w2 = 4836.319, dw = -0.06313, nw = 1651 120904.0027.ec.fits: ap = 65, w1 = 4898.269, w2 = 4794.993, dw = -0.06259, nw = 1651 120904.0027.ec.fits: ap = 66, w1 = 4856.766, w2 = 4754.367, dw = -0.06206, nw = 1651 120904.0027.ec.fits: ap = 67, w1 = 4815.961, w2 = 4714.425, dw = -0.06154, nw = 1651 120904.0027.ec.fits: ap = 68, w1 = 4775.837, w2 = 4675.147, dw = -0.06102, nw = 1651 120904.0027.ec.fits: ap = 69, w1 = 4736.375, w2 = 4636.52, dw = -0.06052, nw = 1651 120904.0027.ec.fits: ap = 70, w1 = 4697.561, w2 = 4598.525, dw = -0.06002, nw = 1651 120904.0027.ec.fits: ap = 71, w1 = 4659.378, w2 = 4561.149, dw = -0.05953, nw = 1651 120904.0027.ec.fits: ap = 72, w1 = 4621.81, w2 = 4524.375, dw = -0.05905, nw = 1651 120904.0027.ec.fits: ap = 73, w1 = 4584.844, w2 = 4488.19, dw = -0.05858, nw = 1651 120904.0027.ec.fits: ap = 74, w1 = 4548.465, w2 = 4452.579, dw = -0.05811, nw = 1651 120904.0027.ec.fits: ap = 75, w1 = 4512.658, w2 = 4417.529, dw = -0.05765, nw = 1651 120904.0027.ec.fits: ap = 76, w1 = 4477.412, w2 = 4383.026, dw = -0.0572, nw = 1651 120904.0027.ec.fits: ap = 77, w1 = 4442.711, w2 = 4349.059, dw = -0.05676, nw = 1651 120904.0027.ec.fits: ap = 78, w1 = 4408.545, w2 = 4315.614, dw = -0.05632, nw = 1651 120904.0027.ec.fits: ap = 79, w1 = 4374.9, w2 = 4282.68, dw = -0.05589, nw = 1651 120904.0027.ec.fits: ap = 80, w1 = 4341.766, w2 = 4250.245, dw = -0.05547, nw = 1651 120904.0027.ec.fits: ap = 81, w1 = 4309.129, w2 = 4218.298, dw = -0.05505, nw = 1651 120904.0027.ec.fits: ap = 82, w1 = 4276.98, w2 = 4186.827, dw = -0.05464, nw = 1651 120904.0027.ec.fits: ap = 83, w1 = 4245.307, w2 = 4155.823, dw = -0.05423, nw = 1651 120904.0027.ec.fits: ap = 84, w1 = 4214.1, w2 = 4125.275, dw = -0.05383, nw = 1651 120904.0027.ec.fits: ap = 85, w1 = 4183.348, w2 = 4095.172, dw = -0.05344, nw = 1651 120904.0027.ec.fits: ap = 86, w1 = 4153.042, w2 = 4065.506, dw = -0.05305, nw = 1651 120904.0027.ec.fits: ap = 87, w1 = 4123.172, w2 = 4036.267, dw = -0.05267, nw = 1651 120904.0027.ec.fits: ap = 88, w1 = 4093.729, w2 = 4007.446, dw = -0.05229, nw = 1651 120904.0027.ec.fits: ap = 89, w1 = 4064.704, w2 = 3979.033, dw = -0.05192, nw = 1651 120904.0027.ec.fits: ap = 90, w1 = 4036.088, w2 = 3951.02, dw = -0.05156, nw = 1651 120904.0027.ec.fits: ap = 91, w1 = 4007.871, w2 = 3923.4, dw = -0.05119, nw = 1651 120904.0027.ec.fits: ap = 92, w1 = 3980.047, w2 = 3896.162, dw = -0.05084, nw = 1651 120904.0027.ec.fits: ap = 93, w1 = 3952.606, w2 = 3869.301, dw = -0.05049, nw = 1651 120904.0027.ec.fits: ap = 94, w1 = 3925.542, w2 = 3842.807, dw = -0.05014, nw = 1651 120904.0027.ec.fits: ap = 95, w1 = 3898.846, w2 = 3816.674, dw = -0.0498, nw = 1651 120904.0027.ec.fits: ap = 96, w1 = 3872.51, w2 = 3790.894, dw = -0.04946, nw = 1651 120904.0027.ec.fits: ap = 97, w1 = 3846.528, w2 = 3765.46, dw = -0.04913, nw = 1651 120904.0027.ec.fits: ap = 98, w1 = 3820.892, w2 = 3740.365, dw = -0.0488, nw = 1651 120904.0027.ec.fits: ap = 99, w1 = 3795.596, w2 = 3715.603, dw = -0.04848, nw = 1651 120904.0027.ec.fits: ap = 100, w1 = 3770.633, w2 = 3691.166, dw = -0.04816, nw = 1651 120904.0027.ec.fits: ap = 101, w1 = 3745.996, w2 = 3667.049, dw = -0.04785, nw = 1651 120904.0027.ec.fits: ap = 102, w1 = 3721.679, w2 = 3643.244, dw = -0.04754, nw = 1651 120904.0027.ec.fits: ap = 103, w1 = 3697.676, w2 = 3619.747, dw = -0.04723, nw = 1651 120904.0027.ec.fits: ap = 104, w1 = 3673.98, w2 = 3596.551, dw = -0.04693, nw = 1651 120904.0027.ec.fits: ap = 105, w1 = 3650.587, w2 = 3573.65, dw = -0.04663, nw = 1651 120904.0027.ec.fits: ap = 106, w1 = 3627.489, w2 = 3551.04, dw = -0.04633, nw = 1651 120904.0027.ec.fits: ap = 107, w1 = 3604.682, w2 = 3528.713, dw = -0.04604, nw = 1651 120904.0027.ec.fits: ap = 108, w1 = 3582.16, w2 = 3506.666, dw = -0.04575, nw = 1651 120904.0027.ec.fits: ap = 109, w1 = 3559.918, w2 = 3484.892, dw = -0.04547, nw = 1651 120904.0027.ec.fits: ap = 110, w1 = 3537.95, w2 = 3463.387, dw = -0.04519, nw = 1651 120904.0027.ec.fits: ap = 111, w1 = 3516.252, w2 = 3442.146, dw = -0.04491, nw = 1651 120904.0027.ec.fits: ap = 112, w1 = 3494.818, w2 = 3421.163, dw = -0.04464, nw = 1651 120904.0027.ec.fits: ap = 113, w1 = 3473.644, w2 = 3400.435, dw = -0.04437, nw = 1651 120904.0027.ec.fits: ap = 114, w1 = 3452.726, w2 = 3379.957, dw = -0.0441, nw = 1651 120904.0027.ec.fits: ap = 115, w1 = 3432.057, w2 = 3359.723, dw = -0.04384, nw = 1651 120904.0001.ec.fits: REFSPEC1 = '120904.0001.ec 1.' z120904.0001.ec.fits: ap = 1, w1 = 10812.1, w2 = 10584.05, dw = -0.13821, nw = 1651 z120904.0001.ec.fits: ap = 2, w1 = 10611.9, w2 = 10388.07, dw = -0.13566, nw = 1651 z120904.0001.ec.fits: ap = 3, w1 = 10418.98, w2 = 10199.2, dw = -0.1332, nw = 1651 z120904.0001.ec.fits: ap = 4, w1 = 10232.95, w2 = 10017.09, dw = -0.13083, nw = 1651 z120904.0001.ec.fits: ap = 5, w1 = 10053.45, w2 = 9841.361, dw = -0.12854, nw = 1651 z120904.0001.ec.fits: ap = 6, w1 = 9880.132, w2 = 9671.695, dw = -0.12633, nw = 1651 z120904.0001.ec.fits: ap = 7, w1 = 9712.692, w2 = 9507.78, dw = -0.12419, nw = 1651 z120904.0001.ec.fits: ap = 8, w1 = 9550.832, w2 = 9349.329, dw = -0.12212, nw = 1651 z120904.0001.ec.fits: ap = 9, w1 = 9394.279, w2 = 9196.074, dw = -0.12012, nw = 1651 z120904.0001.ec.fits: ap = 10, w1 = 9242.775, w2 = 9047.762, dw = -0.11819, nw = 1651 z120904.0001.ec.fits: ap = 11, w1 = 9096.08, w2 = 8904.159, dw = -0.11632, nw = 1651 z120904.0001.ec.fits: ap = 12, w1 = 8953.969, w2 = 8765.044, dw = -0.1145, nw = 1651 z120904.0001.ec.fits: ap = 13, w1 = 8816.23, w2 = 8630.209, dw = -0.11274, nw = 1651 z120904.0001.ec.fits: ap = 14, w1 = 8682.664, w2 = 8499.46, dw = -0.11103, nw = 1651 z120904.0001.ec.fits: ap = 15, w1 = 8553.086, w2 = 8372.615, dw = -0.10938, nw = 1651 z120904.0001.ec.fits: ap = 16, w1 = 8427.318, w2 = 8249.5, dw = -0.10777, nw = 1651 z120904.0001.ec.fits: ap = 17, w1 = 8305.195, w2 = 8129.954, dw = -0.10621, nw = 1651 z120904.0001.ec.fits: ap = 18, w1 = 8186.561, w2 = 8013.824, dw = -0.10469, nw = 1651 z120904.0001.ec.fits: ap = 19, w1 = 8071.269, w2 = 7900.965, dw = -0.10321, nw = 1651 z120904.0001.ec.fits: ap = 20, w1 = 7959.179, w2 = 7791.241, dw = -0.10178, nw = 1651 z120904.0001.ec.fits: ap = 21, w1 = 7850.16, w2 = 7684.523, dw = -0.10039, nw = 1651 z120904.0001.ec.fits: ap = 22, w1 = 7744.087, w2 = 7580.69, dw = -0.09903, nw = 1651 z120904.0001.ec.fits: ap = 23, w1 = 7640.843, w2 = 7479.626, dw = -0.09771, nw = 1651 z120904.0001.ec.fits: ap = 24, w1 = 7540.315, w2 = 7381.221, dw = -0.09642, nw = 1651 z120904.0001.ec.fits: ap = 25, w1 = 7442.399, w2 = 7285.373, dw = -0.09517, nw = 1651 z120904.0001.ec.fits: ap = 26, w1 = 7346.993, w2 = 7191.982, dw = -0.09395, nw = 1651 z120904.0001.ec.fits: ap = 27, w1 = 7254.002, w2 = 7100.956, dw = -0.09276, nw = 1651 z120904.0001.ec.fits: ap = 28, w1 = 7163.337, w2 = 7012.205, dw = -0.09159, nw = 1651 z120904.0001.ec.fits: ap = 29, w1 = 7074.909, w2 = 6925.646, dw = -0.09046, nw = 1651 z120904.0001.ec.fits: ap = 30, w1 = 6988.639, w2 = 6841.198, dw = -0.08936, nw = 1651 z120904.0001.ec.fits: ap = 31, w1 = 6904.447, w2 = 6758.785, dw = -0.08828, nw = 1651 z120904.0001.ec.fits: ap = 32, w1 = 6822.26, w2 = 6678.334, dw = -0.08723, nw = 1651 z120904.0001.ec.fits: ap = 33, w1 = 6742.007, w2 = 6599.776, dw = -0.0862, nw = 1651 z120904.0001.ec.fits: ap = 34, w1 = 6663.62, w2 = 6523.046, dw = -0.0852, nw = 1651 z120904.0001.ec.fits: ap = 35, w1 = 6587.035, w2 = 6448.079, dw = -0.08422, nw = 1651 z120904.0001.ec.fits: ap = 36, w1 = 6512.191, w2 = 6374.816, dw = -0.08326, nw = 1651 z120904.0001.ec.fits: ap = 37, w1 = 6439.029, w2 = 6303.2, dw = -0.08232, nw = 1651 z120904.0001.ec.fits: ap = 38, w1 = 6367.493, w2 = 6233.175, dw = -0.0814, nw = 1651 z120904.0001.ec.fits: ap = 39, w1 = 6297.529, w2 = 6164.689, dw = -0.08051, nw = 1651 z120904.0001.ec.fits: ap = 40, w1 = 6229.086, w2 = 6097.692, dw = -0.07963, nw = 1651 z120904.0001.ec.fits: ap = 41, w1 = 6162.115, w2 = 6032.136, dw = -0.07878, nw = 1651 z120904.0001.ec.fits: ap = 42, w1 = 6096.569, w2 = 5967.974, dw = -0.07794, nw = 1651 z120904.0001.ec.fits: ap = 43, w1 = 6032.402, w2 = 5905.164, dw = -0.07711, nw = 1651 z120904.0001.ec.fits: ap = 44, w1 = 5969.573, w2 = 5843.662, dw = -0.07631, nw = 1651 z120904.0001.ec.fits: ap = 45, w1 = 5908.04, w2 = 5783.428, dw = -0.07552, nw = 1651 z120904.0001.ec.fits: ap = 46, w1 = 5847.762, w2 = 5724.424, dw = -0.07475, nw = 1651 z120904.0001.ec.fits: ap = 47, w1 = 5788.702, w2 = 5666.612, dw = -0.07399, nw = 1651 z120904.0001.ec.fits: ap = 48, w1 = 5730.823, w2 = 5609.955, dw = -0.07325, nw = 1651 z120904.0001.ec.fits: ap = 49, w1 = 5674.091, w2 = 5554.421, dw = -0.07253, nw = 1651 z120904.0001.ec.fits: ap = 50, w1 = 5618.471, w2 = 5499.976, dw = -0.07181, nw = 1651 z120904.0001.ec.fits: ap = 51, w1 = 5563.931, w2 = 5446.588, dw = -0.07112, nw = 1651 z120904.0001.ec.fits: ap = 52, w1 = 5510.44, w2 = 5394.227, dw = -0.07043, nw = 1651 z120904.0001.ec.fits: ap = 53, w1 = 5457.967, w2 = 5342.863, dw = -0.06976, nw = 1651 z120904.0001.ec.fits: ap = 54, w1 = 5406.485, w2 = 5292.468, dw = -0.0691, nw = 1651 z120904.0001.ec.fits: ap = 55, w1 = 5355.966, w2 = 5243.016, dw = -0.06845, nw = 1651 z120904.0001.ec.fits: ap = 56, w1 = 5306.381, w2 = 5194.479, dw = -0.06782, nw = 1651 z120904.0001.ec.fits: ap = 57, w1 = 5257.707, w2 = 5146.833, dw = -0.0672, nw = 1651 z120904.0001.ec.fits: ap = 58, w1 = 5209.918, w2 = 5100.053, dw = -0.06658, nw = 1651 z120904.0001.ec.fits: ap = 59, w1 = 5162.989, w2 = 5054.116, dw = -0.06598, nw = 1651 z120904.0001.ec.fits: ap = 60, w1 = 5116.899, w2 = 5008.999, dw = -0.06539, nw = 1651 z120904.0001.ec.fits: ap = 61, w1 = 5071.625, w2 = 4964.681, dw = -0.06481, nw = 1651 z120904.0001.ec.fits: ap = 62, w1 = 5027.145, w2 = 4921.141, dw = -0.06424, nw = 1651 z120904.0001.ec.fits: ap = 63, w1 = 4983.438, w2 = 4878.358, dw = -0.06368, nw = 1651 z120904.0001.ec.fits: ap = 64, w1 = 4940.485, w2 = 4836.312, dw = -0.06313, nw = 1651 z120904.0001.ec.fits: ap = 65, w1 = 4898.266, w2 = 4794.986, dw = -0.06259, nw = 1651 z120904.0001.ec.fits: ap = 66, w1 = 4856.762, w2 = 4754.359, dw = -0.06206, nw = 1651 z120904.0001.ec.fits: ap = 67, w1 = 4815.956, w2 = 4714.416, dw = -0.06154, nw = 1651 z120904.0001.ec.fits: ap = 68, w1 = 4775.83, w2 = 4675.138, dw = -0.06103, nw = 1651 z120904.0001.ec.fits: ap = 69, w1 = 4736.368, w2 = 4636.51, dw = -0.06052, nw = 1651 z120904.0001.ec.fits: ap = 70, w1 = 4697.551, w2 = 4598.515, dw = -0.06002, nw = 1651 z120904.0001.ec.fits: ap = 71, w1 = 4659.367, w2 = 4561.138, dw = -0.05953, nw = 1651 z120904.0001.ec.fits: ap = 72, w1 = 4621.797, w2 = 4524.364, dw = -0.05905, nw = 1651 z120904.0001.ec.fits: ap = 73, w1 = 4584.829, w2 = 4488.178, dw = -0.05858, nw = 1651 z120904.0001.ec.fits: ap = 74, w1 = 4548.447, w2 = 4452.567, dw = -0.05811, nw = 1651 z120904.0001.ec.fits: ap = 75, w1 = 4512.638, w2 = 4417.517, dw = -0.05765, nw = 1651 z120904.0001.ec.fits: ap = 76, w1 = 4477.389, w2 = 4383.014, dw = -0.0572, nw = 1651 z120904.0001.ec.fits: ap = 77, w1 = 4442.686, w2 = 4349.047, dw = -0.05675, nw = 1651 z120904.0001.ec.fits: ap = 78, w1 = 4408.516, w2 = 4315.602, dw = -0.05631, nw = 1651 z120904.0001.ec.fits: ap = 79, w1 = 4374.868, w2 = 4282.667, dw = -0.05588, nw = 1651 z120904.0001.ec.fits: ap = 80, w1 = 4341.729, w2 = 4250.232, dw = -0.05545, nw = 1651 z120904.0001.ec.fits: ap = 81, w1 = 4309.089, w2 = 4218.285, dw = -0.05503, nw = 1651 z120904.0001.ec.fits: ap = 82, w1 = 4276.935, w2 = 4186.814, dw = -0.05462, nw = 1651 z120904.0001.ec.fits: ap = 83, w1 = 4245.257, w2 = 4155.81, dw = -0.05421, nw = 1651 z120904.0001.ec.fits: ap = 84, w1 = 4214.045, w2 = 4125.262, dw = -0.05381, nw = 1651 z120904.0001.ec.fits: ap = 85, w1 = 4183.288, w2 = 4095.16, dw = -0.05341, nw = 1651 z120904.0001.ec.fits: ap = 86, w1 = 4152.977, w2 = 4065.495, dw = -0.05302, nw = 1651 z120904.0001.ec.fits: ap = 87, w1 = 4123.101, w2 = 4036.256, dw = -0.05263, nw = 1651 z120904.0001.ec.fits: ap = 88, w1 = 4093.652, w2 = 4007.435, dw = -0.05225, nw = 1651 z120904.0001.ec.fits: ap = 89, w1 = 4064.62, w2 = 3979.023, dw = -0.05188, nw = 1651 z120904.0001.ec.fits: ap = 90, w1 = 4035.997, w2 = 3951.011, dw = -0.05151, nw = 1651 z120904.0001.ec.fits: ap = 91, w1 = 4007.773, w2 = 3923.391, dw = -0.05114, nw = 1651 z120904.0001.ec.fits: ap = 92, w1 = 3979.941, w2 = 3896.155, dw = -0.05078, nw = 1651 z120904.0001.ec.fits: ap = 93, w1 = 3952.492, w2 = 3869.295, dw = -0.05042, nw = 1651 z120904.0001.ec.fits: ap = 94, w1 = 3925.419, w2 = 3842.803, dw = -0.05007, nw = 1651 z120904.0001.ec.fits: ap = 95, w1 = 3898.713, w2 = 3816.671, dw = -0.04972, nw = 1651 z120904.0001.ec.fits: ap = 96, w1 = 3872.368, w2 = 3790.893, dw = -0.04938, nw = 1651 z120904.0001.ec.fits: ap = 97, w1 = 3846.376, w2 = 3765.461, dw = -0.04904, nw = 1651 z120904.0001.ec.fits: ap = 98, w1 = 3820.73, w2 = 3740.368, dw = -0.0487, nw = 1651 z120904.0001.ec.fits: ap = 99, w1 = 3795.423, w2 = 3715.607, dw = -0.04837, nw = 1651 z120904.0001.ec.fits: ap = 100, w1 = 3770.449, w2 = 3691.172, dw = -0.04805, nw = 1651 z120904.0001.ec.fits: ap = 101, w1 = 3745.8, w2 = 3667.057, dw = -0.04772, nw = 1651 z120904.0001.ec.fits: ap = 102, w1 = 3721.47, w2 = 3643.256, dw = -0.0474, nw = 1651 z120904.0001.ec.fits: ap = 103, w1 = 3697.454, w2 = 3619.761, dw = -0.04709, nw = 1651 z120904.0001.ec.fits: ap = 104, w1 = 3673.745, w2 = 3596.568, dw = -0.04677, nw = 1651 z120904.0001.ec.fits: ap = 105, w1 = 3650.338, w2 = 3573.671, dw = -0.04646, nw = 1651 z120904.0001.ec.fits: ap = 106, w1 = 3627.225, w2 = 3551.063, dw = -0.04616, nw = 1651 z120904.0001.ec.fits: ap = 107, w1 = 3604.403, w2 = 3528.74, dw = -0.04586, nw = 1651 z120904.0001.ec.fits: ap = 108, w1 = 3581.865, w2 = 3506.697, dw = -0.04556, nw = 1651 z120904.0001.ec.fits: ap = 109, w1 = 3559.607, w2 = 3484.927, dw = -0.04526, nw = 1651 z120904.0001.ec.fits: ap = 110, w1 = 3537.622, w2 = 3463.426, dw = -0.04497, nw = 1651 z120904.0001.ec.fits: ap = 111, w1 = 3515.906, w2 = 3442.189, dw = -0.04468, nw = 1651 z120904.0001.ec.fits: ap = 112, w1 = 3494.454, w2 = 3421.212, dw = -0.04439, nw = 1651 z120904.0001.ec.fits: ap = 113, w1 = 3473.262, w2 = 3400.489, dw = -0.0441, nw = 1651 z120904.0001.ec.fits: ap = 114, w1 = 3452.323, w2 = 3380.015, dw = -0.04382, nw = 1651 z120904.0001.ec.fits: ap = 115, w1 = 3431.635, w2 = 3359.788, dw = -0.04354, nw = 1651 120904.0002.ec.fits: REFSPEC1 = '120904.0002.ec 1.' z120904.0002.ec.fits: ap = 1, w1 = 10812.19, w2 = 10584., dw = -0.1383, nw = 1651 z120904.0002.ec.fits: ap = 2, w1 = 10611.98, w2 = 10388.02, dw = -0.13573, nw = 1651 z120904.0002.ec.fits: ap = 3, w1 = 10419.05, w2 = 10199.16, dw = -0.13326, nw = 1651 z120904.0002.ec.fits: ap = 4, w1 = 10233.01, w2 = 10017.05, dw = -0.13088, nw = 1651 z120904.0002.ec.fits: ap = 5, w1 = 10053.5, w2 = 9841.333, dw = -0.12859, nw = 1651 z120904.0002.ec.fits: ap = 6, w1 = 9880.179, w2 = 9671.671, dw = -0.12637, nw = 1651 z120904.0002.ec.fits: ap = 7, w1 = 9712.733, w2 = 9507.761, dw = -0.12423, nw = 1651 z120904.0002.ec.fits: ap = 8, w1 = 9550.868, w2 = 9349.314, dw = -0.12215, nw = 1651 z120904.0002.ec.fits: ap = 9, w1 = 9394.309, w2 = 9196.062, dw = -0.12015, nw = 1651 z120904.0002.ec.fits: ap = 10, w1 = 9242.801, w2 = 9047.754, dw = -0.11821, nw = 1651 z120904.0002.ec.fits: ap = 11, w1 = 9096.102, w2 = 8904.153, dw = -0.11633, nw = 1651 z120904.0002.ec.fits: ap = 12, w1 = 8953.988, w2 = 8765.041, dw = -0.11451, nw = 1651 z120904.0002.ec.fits: ap = 13, w1 = 8816.246, w2 = 8630.208, dw = -0.11275, nw = 1651 z120904.0002.ec.fits: ap = 14, w1 = 8682.678, w2 = 8499.461, dw = -0.11104, nw = 1651 z120904.0002.ec.fits: ap = 15, w1 = 8553.097, w2 = 8372.617, dw = -0.10938, nw = 1651 z120904.0002.ec.fits: ap = 16, w1 = 8427.326, w2 = 8249.503, dw = -0.10777, nw = 1651 z120904.0002.ec.fits: ap = 17, w1 = 8305.202, w2 = 8129.959, dw = -0.10621, nw = 1651 z120904.0002.ec.fits: ap = 18, w1 = 8186.566, w2 = 8013.829, dw = -0.10469, nw = 1651 z120904.0002.ec.fits: ap = 19, w1 = 8071.273, w2 = 7900.971, dw = -0.10321, nw = 1651 z120904.0002.ec.fits: ap = 20, w1 = 7959.181, w2 = 7791.248, dw = -0.10178, nw = 1651 z120904.0002.ec.fits: ap = 21, w1 = 7850.161, w2 = 7684.53, dw = -0.10038, nw = 1651 z120904.0002.ec.fits: ap = 22, w1 = 7744.087, w2 = 7580.697, dw = -0.09902, nw = 1651 z120904.0002.ec.fits: ap = 23, w1 = 7640.842, w2 = 7479.633, dw = -0.0977, nw = 1651 z120904.0002.ec.fits: ap = 24, w1 = 7540.314, w2 = 7381.229, dw = -0.09642, nw = 1651 z120904.0002.ec.fits: ap = 25, w1 = 7442.397, w2 = 7285.38, dw = -0.09516, nw = 1651 z120904.0002.ec.fits: ap = 26, w1 = 7346.991, w2 = 7191.989, dw = -0.09394, nw = 1651 z120904.0002.ec.fits: ap = 27, w1 = 7254., w2 = 7100.963, dw = -0.09275, nw = 1651 z120904.0002.ec.fits: ap = 28, w1 = 7163.334, w2 = 7012.212, dw = -0.09159, nw = 1651 z120904.0002.ec.fits: ap = 29, w1 = 7074.906, w2 = 6925.652, dw = -0.09046, nw = 1651 z120904.0002.ec.fits: ap = 30, w1 = 6988.635, w2 = 6841.204, dw = -0.08935, nw = 1651 z120904.0002.ec.fits: ap = 31, w1 = 6904.444, w2 = 6758.791, dw = -0.08827, nw = 1651 z120904.0002.ec.fits: ap = 32, w1 = 6822.256, w2 = 6678.34, dw = -0.08722, nw = 1651 z120904.0002.ec.fits: ap = 33, w1 = 6742.003, w2 = 6599.782, dw = -0.08619, nw = 1651 z120904.0002.ec.fits: ap = 34, w1 = 6663.616, w2 = 6523.051, dw = -0.08519, nw = 1651 z120904.0002.ec.fits: ap = 35, w1 = 6587.031, w2 = 6448.084, dw = -0.08421, nw = 1651 z120904.0002.ec.fits: ap = 36, w1 = 6512.187, w2 = 6374.821, dw = -0.08325, nw = 1651 z120904.0002.ec.fits: ap = 37, w1 = 6439.025, w2 = 6303.204, dw = -0.08232, nw = 1651 z120904.0002.ec.fits: ap = 38, w1 = 6367.488, w2 = 6233.179, dw = -0.0814, nw = 1651 z120904.0002.ec.fits: ap = 39, w1 = 6297.524, w2 = 6164.693, dw = -0.0805, nw = 1651 z120904.0002.ec.fits: ap = 40, w1 = 6229.081, w2 = 6097.696, dw = -0.07963, nw = 1651 z120904.0002.ec.fits: ap = 41, w1 = 6162.11, w2 = 6032.139, dw = -0.07877, nw = 1651 z120904.0002.ec.fits: ap = 42, w1 = 6096.564, w2 = 5967.978, dw = -0.07793, nw = 1651 z120904.0002.ec.fits: ap = 43, w1 = 6032.398, w2 = 5905.167, dw = -0.07711, nw = 1651 z120904.0002.ec.fits: ap = 44, w1 = 5969.569, w2 = 5843.665, dw = -0.07631, nw = 1651 z120904.0002.ec.fits: ap = 45, w1 = 5908.036, w2 = 5783.431, dw = -0.07552, nw = 1651 z120904.0002.ec.fits: ap = 46, w1 = 5847.758, w2 = 5724.427, dw = -0.07475, nw = 1651 z120904.0002.ec.fits: ap = 47, w1 = 5788.698, w2 = 5666.614, dw = -0.07399, nw = 1651 z120904.0002.ec.fits: ap = 48, w1 = 5730.819, w2 = 5609.958, dw = -0.07325, nw = 1651 z120904.0002.ec.fits: ap = 49, w1 = 5674.087, w2 = 5554.424, dw = -0.07252, nw = 1651 z120904.0002.ec.fits: ap = 50, w1 = 5618.467, w2 = 5499.979, dw = -0.07181, nw = 1651 z120904.0002.ec.fits: ap = 51, w1 = 5563.927, w2 = 5446.591, dw = -0.07111, nw = 1651 z120904.0002.ec.fits: ap = 52, w1 = 5510.436, w2 = 5394.23, dw = -0.07043, nw = 1651 z120904.0002.ec.fits: ap = 53, w1 = 5457.964, w2 = 5342.867, dw = -0.06976, nw = 1651 z120904.0002.ec.fits: ap = 54, w1 = 5406.482, w2 = 5292.472, dw = -0.0691, nw = 1651 z120904.0002.ec.fits: ap = 55, w1 = 5355.963, w2 = 5243.02, dw = -0.06845, nw = 1651 z120904.0002.ec.fits: ap = 56, w1 = 5306.379, w2 = 5194.483, dw = -0.06782, nw = 1651 z120904.0002.ec.fits: ap = 57, w1 = 5257.705, w2 = 5146.837, dw = -0.06719, nw = 1651 z120904.0002.ec.fits: ap = 58, w1 = 5209.916, w2 = 5100.058, dw = -0.06658, nw = 1651 z120904.0002.ec.fits: ap = 59, w1 = 5162.989, w2 = 5054.121, dw = -0.06598, nw = 1651 z120904.0002.ec.fits: ap = 60, w1 = 5116.899, w2 = 5009.005, dw = -0.06539, nw = 1651 z120904.0002.ec.fits: ap = 61, w1 = 5071.625, w2 = 4964.688, dw = -0.06481, nw = 1651 z120904.0002.ec.fits: ap = 62, w1 = 5027.145, w2 = 4921.148, dw = -0.06424, nw = 1651 z120904.0002.ec.fits: ap = 63, w1 = 4983.44, w2 = 4878.365, dw = -0.06368, nw = 1651 z120904.0002.ec.fits: ap = 64, w1 = 4940.487, w2 = 4836.32, dw = -0.06313, nw = 1651 z120904.0002.ec.fits: ap = 65, w1 = 4898.269, w2 = 4794.994, dw = -0.06259, nw = 1651 z120904.0002.ec.fits: ap = 66, w1 = 4856.767, w2 = 4754.368, dw = -0.06206, nw = 1651 z120904.0002.ec.fits: ap = 67, w1 = 4815.962, w2 = 4714.425, dw = -0.06154, nw = 1651 z120904.0002.ec.fits: ap = 68, w1 = 4775.837, w2 = 4675.148, dw = -0.06102, nw = 1651 z120904.0002.ec.fits: ap = 69, w1 = 4736.376, w2 = 4636.521, dw = -0.06052, nw = 1651 z120904.0002.ec.fits: ap = 70, w1 = 4697.561, w2 = 4598.526, dw = -0.06002, nw = 1651 z120904.0002.ec.fits: ap = 71, w1 = 4659.378, w2 = 4561.15, dw = -0.05953, nw = 1651 z120904.0002.ec.fits: ap = 72, w1 = 4621.81, w2 = 4524.376, dw = -0.05905, nw = 1651 z120904.0002.ec.fits: ap = 73, w1 = 4584.844, w2 = 4488.191, dw = -0.05858, nw = 1651 z120904.0002.ec.fits: ap = 74, w1 = 4548.464, w2 = 4452.58, dw = -0.05811, nw = 1651 z120904.0002.ec.fits: ap = 75, w1 = 4512.658, w2 = 4417.53, dw = -0.05765, nw = 1651 z120904.0002.ec.fits: ap = 76, w1 = 4477.41, w2 = 4383.028, dw = -0.0572, nw = 1651 z120904.0002.ec.fits: ap = 77, w1 = 4442.71, w2 = 4349.06, dw = -0.05676, nw = 1651 z120904.0002.ec.fits: ap = 78, w1 = 4408.543, w2 = 4315.616, dw = -0.05632, nw = 1651 z120904.0002.ec.fits: ap = 79, w1 = 4374.897, w2 = 4282.682, dw = -0.05589, nw = 1651 z120904.0002.ec.fits: ap = 80, w1 = 4341.762, w2 = 4250.247, dw = -0.05546, nw = 1651 z120904.0002.ec.fits: ap = 81, w1 = 4309.124, w2 = 4218.3, dw = -0.05505, nw = 1651 z120904.0002.ec.fits: ap = 82, w1 = 4276.974, w2 = 4186.83, dw = -0.05463, nw = 1651 z120904.0002.ec.fits: ap = 83, w1 = 4245.3, w2 = 4155.826, dw = -0.05423, nw = 1651 z120904.0002.ec.fits: ap = 84, w1 = 4214.092, w2 = 4125.278, dw = -0.05383, nw = 1651 z120904.0002.ec.fits: ap = 85, w1 = 4183.339, w2 = 4095.176, dw = -0.05343, nw = 1651 z120904.0002.ec.fits: ap = 86, w1 = 4153.032, w2 = 4065.51, dw = -0.05304, nw = 1651 z120904.0002.ec.fits: ap = 87, w1 = 4123.161, w2 = 4036.271, dw = -0.05266, nw = 1651 z120904.0002.ec.fits: ap = 88, w1 = 4093.717, w2 = 4007.45, dw = -0.05228, nw = 1651 z120904.0002.ec.fits: ap = 89, w1 = 4064.69, w2 = 3979.038, dw = -0.05191, nw = 1651 z120904.0002.ec.fits: ap = 90, w1 = 4036.072, w2 = 3951.026, dw = -0.05154, nw = 1651 z120904.0002.ec.fits: ap = 91, w1 = 4007.854, w2 = 3923.405, dw = -0.05118, nw = 1651 z120904.0002.ec.fits: ap = 92, w1 = 3980.028, w2 = 3896.169, dw = -0.05082, nw = 1651 z120904.0002.ec.fits: ap = 93, w1 = 3952.585, w2 = 3869.308, dw = -0.05047, nw = 1651 z120904.0002.ec.fits: ap = 94, w1 = 3925.519, w2 = 3842.815, dw = -0.05012, nw = 1651 z120904.0002.ec.fits: ap = 95, w1 = 3898.82, w2 = 3816.682, dw = -0.04978, nw = 1651 z120904.0002.ec.fits: ap = 96, w1 = 3872.482, w2 = 3790.903, dw = -0.04944, nw = 1651 z120904.0002.ec.fits: ap = 97, w1 = 3846.498, w2 = 3765.469, dw = -0.04911, nw = 1651 z120904.0002.ec.fits: ap = 98, w1 = 3820.859, w2 = 3740.375, dw = -0.04878, nw = 1651 z120904.0002.ec.fits: ap = 99, w1 = 3795.561, w2 = 3715.613, dw = -0.04845, nw = 1651 z120904.0002.ec.fits: ap = 100, w1 = 3770.595, w2 = 3691.177, dw = -0.04813, nw = 1651 z120904.0002.ec.fits: ap = 101, w1 = 3745.955, w2 = 3667.06, dw = -0.04781, nw = 1651 z120904.0002.ec.fits: ap = 102, w1 = 3721.635, w2 = 3643.257, dw = -0.0475, nw = 1651 z120904.0002.ec.fits: ap = 103, w1 = 3697.628, w2 = 3619.761, dw = -0.04719, nw = 1651 z120904.0002.ec.fits: ap = 104, w1 = 3673.929, w2 = 3596.565, dw = -0.04689, nw = 1651 z120904.0002.ec.fits: ap = 105, w1 = 3650.532, w2 = 3573.666, dw = -0.04659, nw = 1651 z120904.0002.ec.fits: ap = 106, w1 = 3627.431, w2 = 3551.056, dw = -0.04629, nw = 1651 z120904.0002.ec.fits: ap = 107, w1 = 3604.62, w2 = 3528.73, dw = -0.04599, nw = 1651 z120904.0002.ec.fits: ap = 108, w1 = 3582.094, w2 = 3506.684, dw = -0.0457, nw = 1651 z120904.0002.ec.fits: ap = 109, w1 = 3559.847, w2 = 3484.911, dw = -0.04542, nw = 1651 z120904.0002.ec.fits: ap = 110, w1 = 3537.875, w2 = 3463.407, dw = -0.04513, nw = 1651 z120904.0002.ec.fits: ap = 111, w1 = 3516.172, w2 = 3442.167, dw = -0.04485, nw = 1651 z120904.0002.ec.fits: ap = 112, w1 = 3494.734, w2 = 3421.186, dw = -0.04457, nw = 1651 z120904.0002.ec.fits: ap = 113, w1 = 3473.555, w2 = 3400.459, dw = -0.0443, nw = 1651 z120904.0002.ec.fits: ap = 114, w1 = 3452.631, w2 = 3379.982, dw = -0.04403, nw = 1651 z120904.0002.ec.fits: ap = 115, w1 = 3431.958, w2 = 3359.75, dw = -0.04376, nw = 1651 120904.0003.ec.fits: REFSPEC1 = '120904.0003.ec 1.' z120904.0003.ec.fits: ap = 1, w1 = 10812.14, w2 = 10583.98, dw = -0.13828, nw = 1651 z120904.0003.ec.fits: ap = 2, w1 = 10611.93, w2 = 10388., dw = -0.13572, nw = 1651 z120904.0003.ec.fits: ap = 3, w1 = 10419.01, w2 = 10199.15, dw = -0.13325, nw = 1651 z120904.0003.ec.fits: ap = 4, w1 = 10232.98, w2 = 10017.04, dw = -0.13087, nw = 1651 z120904.0003.ec.fits: ap = 5, w1 = 10053.47, w2 = 9841.323, dw = -0.12857, nw = 1651 z120904.0003.ec.fits: ap = 6, w1 = 9880.151, w2 = 9671.663, dw = -0.12636, nw = 1651 z120904.0003.ec.fits: ap = 7, w1 = 9712.708, w2 = 9507.754, dw = -0.12421, nw = 1651 z120904.0003.ec.fits: ap = 8, w1 = 9550.846, w2 = 9349.308, dw = -0.12214, nw = 1651 z120904.0003.ec.fits: ap = 9, w1 = 9394.29, w2 = 9196.057, dw = -0.12014, nw = 1651 z120904.0003.ec.fits: ap = 10, w1 = 9242.785, w2 = 9047.749, dw = -0.1182, nw = 1651 z120904.0003.ec.fits: ap = 11, w1 = 9096.088, w2 = 8904.149, dw = -0.11633, nw = 1651 z120904.0003.ec.fits: ap = 12, w1 = 8953.976, w2 = 8765.037, dw = -0.11451, nw = 1651 z120904.0003.ec.fits: ap = 13, w1 = 8816.236, w2 = 8630.204, dw = -0.11275, nw = 1651 z120904.0003.ec.fits: ap = 14, w1 = 8682.67, w2 = 8499.458, dw = -0.11104, nw = 1651 z120904.0003.ec.fits: ap = 15, w1 = 8553.09, w2 = 8372.614, dw = -0.10938, nw = 1651 z120904.0003.ec.fits: ap = 16, w1 = 8427.321, w2 = 8249.501, dw = -0.10777, nw = 1651 z120904.0003.ec.fits: ap = 17, w1 = 8305.198, w2 = 8129.956, dw = -0.10621, nw = 1651 z120904.0003.ec.fits: ap = 18, w1 = 8186.564, w2 = 8013.826, dw = -0.10469, nw = 1651 z120904.0003.ec.fits: ap = 19, w1 = 8071.271, w2 = 7900.968, dw = -0.10321, nw = 1651 z120904.0003.ec.fits: ap = 20, w1 = 7959.181, w2 = 7791.245, dw = -0.10178, nw = 1651 z120904.0003.ec.fits: ap = 21, w1 = 7850.161, w2 = 7684.527, dw = -0.10038, nw = 1651 z120904.0003.ec.fits: ap = 22, w1 = 7744.088, w2 = 7580.694, dw = -0.09903, nw = 1651 z120904.0003.ec.fits: ap = 23, w1 = 7640.844, w2 = 7479.63, dw = -0.09771, nw = 1651 z120904.0003.ec.fits: ap = 24, w1 = 7540.316, w2 = 7381.226, dw = -0.09642, nw = 1651 z120904.0003.ec.fits: ap = 25, w1 = 7442.4, w2 = 7285.377, dw = -0.09517, nw = 1651 z120904.0003.ec.fits: ap = 26, w1 = 7346.994, w2 = 7191.986, dw = -0.09394, nw = 1651 z120904.0003.ec.fits: ap = 27, w1 = 7254.003, w2 = 7100.959, dw = -0.09275, nw = 1651 z120904.0003.ec.fits: ap = 28, w1 = 7163.337, w2 = 7012.208, dw = -0.09159, nw = 1651 z120904.0003.ec.fits: ap = 29, w1 = 7074.91, w2 = 6925.649, dw = -0.09046, nw = 1651 z120904.0003.ec.fits: ap = 30, w1 = 6988.639, w2 = 6841.201, dw = -0.08936, nw = 1651 z120904.0003.ec.fits: ap = 31, w1 = 6904.448, w2 = 6758.787, dw = -0.08828, nw = 1651 z120904.0003.ec.fits: ap = 32, w1 = 6822.26, w2 = 6678.336, dw = -0.08723, nw = 1651 z120904.0003.ec.fits: ap = 33, w1 = 6742.007, w2 = 6599.778, dw = -0.0862, nw = 1651 z120904.0003.ec.fits: ap = 34, w1 = 6663.62, w2 = 6523.047, dw = -0.0852, nw = 1651 z120904.0003.ec.fits: ap = 35, w1 = 6587.035, w2 = 6448.08, dw = -0.08422, nw = 1651 z120904.0003.ec.fits: ap = 36, w1 = 6512.191, w2 = 6374.817, dw = -0.08326, nw = 1651 z120904.0003.ec.fits: ap = 37, w1 = 6439.029, w2 = 6303.2, dw = -0.08232, nw = 1651 z120904.0003.ec.fits: ap = 38, w1 = 6367.493, w2 = 6233.175, dw = -0.0814, nw = 1651 z120904.0003.ec.fits: ap = 39, w1 = 6297.528, w2 = 6164.689, dw = -0.08051, nw = 1651 z120904.0003.ec.fits: ap = 40, w1 = 6229.085, w2 = 6097.692, dw = -0.07963, nw = 1651 z120904.0003.ec.fits: ap = 41, w1 = 6162.114, w2 = 6032.135, dw = -0.07878, nw = 1651 z120904.0003.ec.fits: ap = 42, w1 = 6096.568, w2 = 5967.974, dw = -0.07794, nw = 1651 z120904.0003.ec.fits: ap = 43, w1 = 6032.402, w2 = 5905.163, dw = -0.07711, nw = 1651 z120904.0003.ec.fits: ap = 44, w1 = 5969.573, w2 = 5843.662, dw = -0.07631, nw = 1651 z120904.0003.ec.fits: ap = 45, w1 = 5908.039, w2 = 5783.428, dw = -0.07552, nw = 1651 z120904.0003.ec.fits: ap = 46, w1 = 5847.761, w2 = 5724.424, dw = -0.07475, nw = 1651 z120904.0003.ec.fits: ap = 47, w1 = 5788.701, w2 = 5666.611, dw = -0.07399, nw = 1651 z120904.0003.ec.fits: ap = 48, w1 = 5730.823, w2 = 5609.955, dw = -0.07325, nw = 1651 z120904.0003.ec.fits: ap = 49, w1 = 5674.09, w2 = 5554.422, dw = -0.07253, nw = 1651 z120904.0003.ec.fits: ap = 50, w1 = 5618.47, w2 = 5499.977, dw = -0.07181, nw = 1651 z120904.0003.ec.fits: ap = 51, w1 = 5563.93, w2 = 5446.589, dw = -0.07112, nw = 1651 z120904.0003.ec.fits: ap = 52, w1 = 5510.439, w2 = 5394.228, dw = -0.07043, nw = 1651 z120904.0003.ec.fits: ap = 53, w1 = 5457.967, w2 = 5342.865, dw = -0.06976, nw = 1651 z120904.0003.ec.fits: ap = 54, w1 = 5406.486, w2 = 5292.471, dw = -0.0691, nw = 1651 z120904.0003.ec.fits: ap = 55, w1 = 5355.966, w2 = 5243.019, dw = -0.06845, nw = 1651 z120904.0003.ec.fits: ap = 56, w1 = 5306.382, w2 = 5194.482, dw = -0.06782, nw = 1651 z120904.0003.ec.fits: ap = 57, w1 = 5257.708, w2 = 5146.837, dw = -0.06719, nw = 1651 z120904.0003.ec.fits: ap = 58, w1 = 5209.92, w2 = 5100.058, dw = -0.06658, nw = 1651 z120904.0003.ec.fits: ap = 59, w1 = 5162.992, w2 = 5054.121, dw = -0.06598, nw = 1651 z120904.0003.ec.fits: ap = 60, w1 = 5116.902, w2 = 5009.006, dw = -0.06539, nw = 1651 z120904.0003.ec.fits: ap = 61, w1 = 5071.629, w2 = 4964.688, dw = -0.06481, nw = 1651 z120904.0003.ec.fits: ap = 62, w1 = 5027.149, w2 = 4921.149, dw = -0.06424, nw = 1651 z120904.0003.ec.fits: ap = 63, w1 = 4983.443, w2 = 4878.366, dw = -0.06368, nw = 1651 z120904.0003.ec.fits: ap = 64, w1 = 4940.491, w2 = 4836.322, dw = -0.06313, nw = 1651 z120904.0003.ec.fits: ap = 65, w1 = 4898.273, w2 = 4794.996, dw = -0.06259, nw = 1651 z120904.0003.ec.fits: ap = 66, w1 = 4856.771, w2 = 4754.37, dw = -0.06206, nw = 1651 z120904.0003.ec.fits: ap = 67, w1 = 4815.967, w2 = 4714.428, dw = -0.06154, nw = 1651 z120904.0003.ec.fits: ap = 68, w1 = 4775.842, w2 = 4675.151, dw = -0.06103, nw = 1651 z120904.0003.ec.fits: ap = 69, w1 = 4736.381, w2 = 4636.523, dw = -0.06052, nw = 1651 z120904.0003.ec.fits: ap = 70, w1 = 4697.567, w2 = 4598.529, dw = -0.06002, nw = 1651 z120904.0003.ec.fits: ap = 71, w1 = 4659.384, w2 = 4561.153, dw = -0.05953, nw = 1651 z120904.0003.ec.fits: ap = 72, w1 = 4621.816, w2 = 4524.379, dw = -0.05905, nw = 1651 z120904.0003.ec.fits: ap = 73, w1 = 4584.85, w2 = 4488.194, dw = -0.05858, nw = 1651 z120904.0003.ec.fits: ap = 74, w1 = 4548.471, w2 = 4452.583, dw = -0.05811, nw = 1651 z120904.0003.ec.fits: ap = 75, w1 = 4512.665, w2 = 4417.533, dw = -0.05766, nw = 1651 z120904.0003.ec.fits: ap = 76, w1 = 4477.418, w2 = 4383.031, dw = -0.0572, nw = 1651 z120904.0003.ec.fits: ap = 77, w1 = 4442.718, w2 = 4349.064, dw = -0.05676, nw = 1651 z120904.0003.ec.fits: ap = 78, w1 = 4408.551, w2 = 4315.619, dw = -0.05632, nw = 1651 z120904.0003.ec.fits: ap = 79, w1 = 4374.906, w2 = 4282.685, dw = -0.05589, nw = 1651 z120904.0003.ec.fits: ap = 80, w1 = 4341.771, w2 = 4250.25, dw = -0.05547, nw = 1651 z120904.0003.ec.fits: ap = 81, w1 = 4309.134, w2 = 4218.303, dw = -0.05505, nw = 1651 z120904.0003.ec.fits: ap = 82, w1 = 4276.985, w2 = 4186.832, dw = -0.05464, nw = 1651 z120904.0003.ec.fits: ap = 83, w1 = 4245.311, w2 = 4155.828, dw = -0.05423, nw = 1651 z120904.0003.ec.fits: ap = 84, w1 = 4214.104, w2 = 4125.28, dw = -0.05383, nw = 1651 z120904.0003.ec.fits: ap = 85, w1 = 4183.351, w2 = 4095.177, dw = -0.05344, nw = 1651 z120904.0003.ec.fits: ap = 86, w1 = 4153.045, w2 = 4065.511, dw = -0.05305, nw = 1651 z120904.0003.ec.fits: ap = 87, w1 = 4123.175, w2 = 4036.272, dw = -0.05267, nw = 1651 z120904.0003.ec.fits: ap = 88, w1 = 4093.731, w2 = 4007.45, dw = -0.05229, nw = 1651 z120904.0003.ec.fits: ap = 89, w1 = 4064.704, w2 = 3979.037, dw = -0.05192, nw = 1651 z120904.0003.ec.fits: ap = 90, w1 = 4036.087, w2 = 3951.024, dw = -0.05155, nw = 1651 z120904.0003.ec.fits: ap = 91, w1 = 4007.87, w2 = 3923.403, dw = -0.05119, nw = 1651 z120904.0003.ec.fits: ap = 92, w1 = 3980.044, w2 = 3896.166, dw = -0.05084, nw = 1651 z120904.0003.ec.fits: ap = 93, w1 = 3952.602, w2 = 3869.304, dw = -0.05048, nw = 1651 z120904.0003.ec.fits: ap = 94, w1 = 3925.536, w2 = 3842.81, dw = -0.05014, nw = 1651 z120904.0003.ec.fits: ap = 95, w1 = 3898.839, w2 = 3816.676, dw = -0.0498, nw = 1651 z120904.0003.ec.fits: ap = 96, w1 = 3872.501, w2 = 3790.895, dw = -0.04946, nw = 1651 z120904.0003.ec.fits: ap = 97, w1 = 3846.518, w2 = 3765.461, dw = -0.04913, nw = 1651 z120904.0003.ec.fits: ap = 98, w1 = 3820.88, w2 = 3740.365, dw = -0.0488, nw = 1651 z120904.0003.ec.fits: ap = 99, w1 = 3795.582, w2 = 3715.602, dw = -0.04847, nw = 1651 z120904.0003.ec.fits: ap = 100, w1 = 3770.617, w2 = 3691.164, dw = -0.04815, nw = 1651 z120904.0003.ec.fits: ap = 101, w1 = 3745.977, w2 = 3667.046, dw = -0.04784, nw = 1651 z120904.0003.ec.fits: ap = 102, w1 = 3721.658, w2 = 3643.24, dw = -0.04753, nw = 1651 z120904.0003.ec.fits: ap = 103, w1 = 3697.652, w2 = 3619.742, dw = -0.04722, nw = 1651 z120904.0003.ec.fits: ap = 104, w1 = 3673.954, w2 = 3596.545, dw = -0.04691, nw = 1651 z120904.0003.ec.fits: ap = 105, w1 = 3650.558, w2 = 3573.643, dw = -0.04661, nw = 1651 z120904.0003.ec.fits: ap = 106, w1 = 3627.457, w2 = 3551.031, dw = -0.04632, nw = 1651 z120904.0003.ec.fits: ap = 107, w1 = 3604.647, w2 = 3528.703, dw = -0.04603, nw = 1651 z120904.0003.ec.fits: ap = 108, w1 = 3582.122, w2 = 3506.654, dw = -0.04574, nw = 1651 z120904.0003.ec.fits: ap = 109, w1 = 3559.876, w2 = 3484.879, dw = -0.04545, nw = 1651 z120904.0003.ec.fits: ap = 110, w1 = 3537.905, w2 = 3463.372, dw = -0.04517, nw = 1651 z120904.0003.ec.fits: ap = 111, w1 = 3516.203, w2 = 3442.129, dw = -0.04489, nw = 1651 z120904.0003.ec.fits: ap = 112, w1 = 3494.765, w2 = 3421.145, dw = -0.04462, nw = 1651 z120904.0003.ec.fits: ap = 113, w1 = 3473.587, w2 = 3400.415, dw = -0.04435, nw = 1651 z120904.0003.ec.fits: ap = 114, w1 = 3452.664, w2 = 3379.935, dw = -0.04408, nw = 1651 z120904.0003.ec.fits: ap = 115, w1 = 3431.991, w2 = 3359.699, dw = -0.04381, nw = 1651 120904.0004.ec.fits: REFSPEC1 = '120904.0004.ec 1.' z120904.0004.ec.fits: ap = 1, w1 = 10812.16, w2 = 10584., dw = -0.13827, nw = 1651 z120904.0004.ec.fits: ap = 2, w1 = 10611.95, w2 = 10388.02, dw = -0.13571, nw = 1651 z120904.0004.ec.fits: ap = 3, w1 = 10419.02, w2 = 10199.17, dw = -0.13325, nw = 1651 z120904.0004.ec.fits: ap = 4, w1 = 10232.99, w2 = 10017.06, dw = -0.13087, nw = 1651 z120904.0004.ec.fits: ap = 5, w1 = 10053.48, w2 = 9841.337, dw = -0.12857, nw = 1651 z120904.0004.ec.fits: ap = 6, w1 = 9880.158, w2 = 9671.675, dw = -0.12635, nw = 1651 z120904.0004.ec.fits: ap = 7, w1 = 9712.713, w2 = 9507.765, dw = -0.12421, nw = 1651 z120904.0004.ec.fits: ap = 8, w1 = 9550.849, w2 = 9349.317, dw = -0.12214, nw = 1651 z120904.0004.ec.fits: ap = 9, w1 = 9394.292, w2 = 9196.065, dw = -0.12014, nw = 1651 z120904.0004.ec.fits: ap = 10, w1 = 9242.786, w2 = 9047.756, dw = -0.1182, nw = 1651 z120904.0004.ec.fits: ap = 11, w1 = 9096.088, w2 = 8904.156, dw = -0.11632, nw = 1651 z120904.0004.ec.fits: ap = 12, w1 = 8953.975, w2 = 8765.042, dw = -0.1145, nw = 1651 z120904.0004.ec.fits: ap = 13, w1 = 8816.234, w2 = 8630.209, dw = -0.11274, nw = 1651 z120904.0004.ec.fits: ap = 14, w1 = 8682.667, w2 = 8499.462, dw = -0.11103, nw = 1651 z120904.0004.ec.fits: ap = 15, w1 = 8553.087, w2 = 8372.618, dw = -0.10938, nw = 1651 z120904.0004.ec.fits: ap = 16, w1 = 8427.318, w2 = 8249.504, dw = -0.10777, nw = 1651 z120904.0004.ec.fits: ap = 17, w1 = 8305.195, w2 = 8129.959, dw = -0.1062, nw = 1651 z120904.0004.ec.fits: ap = 18, w1 = 8186.56, w2 = 8013.829, dw = -0.10469, nw = 1651 z120904.0004.ec.fits: ap = 19, w1 = 8071.267, w2 = 7900.971, dw = -0.10321, nw = 1651 z120904.0004.ec.fits: ap = 20, w1 = 7959.177, w2 = 7791.247, dw = -0.10178, nw = 1651 z120904.0004.ec.fits: ap = 21, w1 = 7850.158, w2 = 7684.53, dw = -0.10038, nw = 1651 z120904.0004.ec.fits: ap = 22, w1 = 7744.085, w2 = 7580.697, dw = -0.09902, nw = 1651 z120904.0004.ec.fits: ap = 23, w1 = 7640.84, w2 = 7479.632, dw = -0.0977, nw = 1651 z120904.0004.ec.fits: ap = 24, w1 = 7540.313, w2 = 7381.228, dw = -0.09642, nw = 1651 z120904.0004.ec.fits: ap = 25, w1 = 7442.396, w2 = 7285.379, dw = -0.09516, nw = 1651 z120904.0004.ec.fits: ap = 26, w1 = 7346.991, w2 = 7191.988, dw = -0.09394, nw = 1651 z120904.0004.ec.fits: ap = 27, w1 = 7254., w2 = 7100.961, dw = -0.09275, nw = 1651 z120904.0004.ec.fits: ap = 28, w1 = 7163.335, w2 = 7012.21, dw = -0.09159, nw = 1651 z120904.0004.ec.fits: ap = 29, w1 = 7074.907, w2 = 6925.651, dw = -0.09046, nw = 1651 z120904.0004.ec.fits: ap = 30, w1 = 6988.637, w2 = 6841.203, dw = -0.08935, nw = 1651 z120904.0004.ec.fits: ap = 31, w1 = 6904.446, w2 = 6758.789, dw = -0.08828, nw = 1651 z120904.0004.ec.fits: ap = 32, w1 = 6822.259, w2 = 6678.338, dw = -0.08722, nw = 1651 z120904.0004.ec.fits: ap = 33, w1 = 6742.006, w2 = 6599.78, dw = -0.0862, nw = 1651 z120904.0004.ec.fits: ap = 34, w1 = 6663.619, w2 = 6523.049, dw = -0.08519, nw = 1651 z120904.0004.ec.fits: ap = 35, w1 = 6587.034, w2 = 6448.082, dw = -0.08421, nw = 1651 z120904.0004.ec.fits: ap = 36, w1 = 6512.19, w2 = 6374.819, dw = -0.08326, nw = 1651 z120904.0004.ec.fits: ap = 37, w1 = 6439.028, w2 = 6303.202, dw = -0.08232, nw = 1651 z120904.0004.ec.fits: ap = 38, w1 = 6367.492, w2 = 6233.177, dw = -0.0814, nw = 1651 z120904.0004.ec.fits: ap = 39, w1 = 6297.528, w2 = 6164.691, dw = -0.08051, nw = 1651 z120904.0004.ec.fits: ap = 40, w1 = 6229.085, w2 = 6097.694, dw = -0.07963, nw = 1651 z120904.0004.ec.fits: ap = 41, w1 = 6162.114, w2 = 6032.137, dw = -0.07877, nw = 1651 z120904.0004.ec.fits: ap = 42, w1 = 6096.568, w2 = 5967.976, dw = -0.07793, nw = 1651 z120904.0004.ec.fits: ap = 43, w1 = 6032.402, w2 = 5905.165, dw = -0.07711, nw = 1651 z120904.0004.ec.fits: ap = 44, w1 = 5969.572, w2 = 5843.663, dw = -0.07631, nw = 1651 z120904.0004.ec.fits: ap = 45, w1 = 5908.039, w2 = 5783.43, dw = -0.07552, nw = 1651 z120904.0004.ec.fits: ap = 46, w1 = 5847.761, w2 = 5724.425, dw = -0.07475, nw = 1651 z120904.0004.ec.fits: ap = 47, w1 = 5788.701, w2 = 5666.613, dw = -0.07399, nw = 1651 z120904.0004.ec.fits: ap = 48, w1 = 5730.822, w2 = 5609.957, dw = -0.07325, nw = 1651 z120904.0004.ec.fits: ap = 49, w1 = 5674.089, w2 = 5554.423, dw = -0.07253, nw = 1651 z120904.0004.ec.fits: ap = 50, w1 = 5618.469, w2 = 5499.978, dw = -0.07181, nw = 1651 z120904.0004.ec.fits: ap = 51, w1 = 5563.929, w2 = 5446.59, dw = -0.07111, nw = 1651 z120904.0004.ec.fits: ap = 52, w1 = 5510.438, w2 = 5394.229, dw = -0.07043, nw = 1651 z120904.0004.ec.fits: ap = 53, w1 = 5457.966, w2 = 5342.865, dw = -0.06976, nw = 1651 z120904.0004.ec.fits: ap = 54, w1 = 5406.484, w2 = 5292.471, dw = -0.0691, nw = 1651 z120904.0004.ec.fits: ap = 55, w1 = 5355.964, w2 = 5243.019, dw = -0.06845, nw = 1651 z120904.0004.ec.fits: ap = 56, w1 = 5306.38, w2 = 5194.482, dw = -0.06782, nw = 1651 z120904.0004.ec.fits: ap = 57, w1 = 5257.706, w2 = 5146.836, dw = -0.06719, nw = 1651 z120904.0004.ec.fits: ap = 58, w1 = 5209.917, w2 = 5100.057, dw = -0.06658, nw = 1651 z120904.0004.ec.fits: ap = 59, w1 = 5162.989, w2 = 5054.12, dw = -0.06598, nw = 1651 z120904.0004.ec.fits: ap = 60, w1 = 5116.899, w2 = 5009.004, dw = -0.06539, nw = 1651 z120904.0004.ec.fits: ap = 61, w1 = 5071.625, w2 = 4964.687, dw = -0.06481, nw = 1651 z120904.0004.ec.fits: ap = 62, w1 = 5027.145, w2 = 4921.147, dw = -0.06424, nw = 1651 z120904.0004.ec.fits: ap = 63, w1 = 4983.439, w2 = 4878.364, dw = -0.06368, nw = 1651 z120904.0004.ec.fits: ap = 64, w1 = 4940.487, w2 = 4836.319, dw = -0.06313, nw = 1651 z120904.0004.ec.fits: ap = 65, w1 = 4898.269, w2 = 4794.993, dw = -0.06259, nw = 1651 z120904.0004.ec.fits: ap = 66, w1 = 4856.766, w2 = 4754.367, dw = -0.06206, nw = 1651 z120904.0004.ec.fits: ap = 67, w1 = 4815.961, w2 = 4714.425, dw = -0.06154, nw = 1651 z120904.0004.ec.fits: ap = 68, w1 = 4775.837, w2 = 4675.147, dw = -0.06102, nw = 1651 z120904.0004.ec.fits: ap = 69, w1 = 4736.375, w2 = 4636.52, dw = -0.06052, nw = 1651 z120904.0004.ec.fits: ap = 70, w1 = 4697.561, w2 = 4598.525, dw = -0.06002, nw = 1651 z120904.0004.ec.fits: ap = 71, w1 = 4659.378, w2 = 4561.149, dw = -0.05953, nw = 1651 z120904.0004.ec.fits: ap = 72, w1 = 4621.81, w2 = 4524.375, dw = -0.05905, nw = 1651 z120904.0004.ec.fits: ap = 73, w1 = 4584.844, w2 = 4488.19, dw = -0.05858, nw = 1651 z120904.0004.ec.fits: ap = 74, w1 = 4548.465, w2 = 4452.579, dw = -0.05811, nw = 1651 z120904.0004.ec.fits: ap = 75, w1 = 4512.658, w2 = 4417.529, dw = -0.05765, nw = 1651 z120904.0004.ec.fits: ap = 76, w1 = 4477.412, w2 = 4383.026, dw = -0.0572, nw = 1651 z120904.0004.ec.fits: ap = 77, w1 = 4442.711, w2 = 4349.059, dw = -0.05676, nw = 1651 z120904.0004.ec.fits: ap = 78, w1 = 4408.545, w2 = 4315.614, dw = -0.05632, nw = 1651 z120904.0004.ec.fits: ap = 79, w1 = 4374.9, w2 = 4282.68, dw = -0.05589, nw = 1651 z120904.0004.ec.fits: ap = 80, w1 = 4341.766, w2 = 4250.245, dw = -0.05547, nw = 1651 z120904.0004.ec.fits: ap = 81, w1 = 4309.129, w2 = 4218.298, dw = -0.05505, nw = 1651 z120904.0004.ec.fits: ap = 82, w1 = 4276.98, w2 = 4186.827, dw = -0.05464, nw = 1651 z120904.0004.ec.fits: ap = 83, w1 = 4245.307, w2 = 4155.823, dw = -0.05423, nw = 1651 z120904.0004.ec.fits: ap = 84, w1 = 4214.1, w2 = 4125.275, dw = -0.05383, nw = 1651 z120904.0004.ec.fits: ap = 85, w1 = 4183.348, w2 = 4095.172, dw = -0.05344, nw = 1651 z120904.0004.ec.fits: ap = 86, w1 = 4153.042, w2 = 4065.506, dw = -0.05305, nw = 1651 z120904.0004.ec.fits: ap = 87, w1 = 4123.172, w2 = 4036.267, dw = -0.05267, nw = 1651 z120904.0004.ec.fits: ap = 88, w1 = 4093.729, w2 = 4007.446, dw = -0.05229, nw = 1651 z120904.0004.ec.fits: ap = 89, w1 = 4064.704, w2 = 3979.033, dw = -0.05192, nw = 1651 z120904.0004.ec.fits: ap = 90, w1 = 4036.088, w2 = 3951.02, dw = -0.05156, nw = 1651 z120904.0004.ec.fits: ap = 91, w1 = 4007.871, w2 = 3923.4, dw = -0.05119, nw = 1651 z120904.0004.ec.fits: ap = 92, w1 = 3980.047, w2 = 3896.162, dw = -0.05084, nw = 1651 z120904.0004.ec.fits: ap = 93, w1 = 3952.606, w2 = 3869.301, dw = -0.05049, nw = 1651 z120904.0004.ec.fits: ap = 94, w1 = 3925.542, w2 = 3842.807, dw = -0.05014, nw = 1651 z120904.0004.ec.fits: ap = 95, w1 = 3898.846, w2 = 3816.674, dw = -0.0498, nw = 1651 z120904.0004.ec.fits: ap = 96, w1 = 3872.51, w2 = 3790.894, dw = -0.04946, nw = 1651 z120904.0004.ec.fits: ap = 97, w1 = 3846.528, w2 = 3765.46, dw = -0.04913, nw = 1651 z120904.0004.ec.fits: ap = 98, w1 = 3820.892, w2 = 3740.365, dw = -0.0488, nw = 1651 z120904.0004.ec.fits: ap = 99, w1 = 3795.596, w2 = 3715.603, dw = -0.04848, nw = 1651 z120904.0004.ec.fits: ap = 100, w1 = 3770.633, w2 = 3691.166, dw = -0.04816, nw = 1651 z120904.0004.ec.fits: ap = 101, w1 = 3745.996, w2 = 3667.049, dw = -0.04785, nw = 1651 z120904.0004.ec.fits: ap = 102, w1 = 3721.679, w2 = 3643.244, dw = -0.04754, nw = 1651 z120904.0004.ec.fits: ap = 103, w1 = 3697.676, w2 = 3619.747, dw = -0.04723, nw = 1651 z120904.0004.ec.fits: ap = 104, w1 = 3673.98, w2 = 3596.551, dw = -0.04693, nw = 1651 z120904.0004.ec.fits: ap = 105, w1 = 3650.587, w2 = 3573.65, dw = -0.04663, nw = 1651 z120904.0004.ec.fits: ap = 106, w1 = 3627.489, w2 = 3551.04, dw = -0.04633, nw = 1651 z120904.0004.ec.fits: ap = 107, w1 = 3604.682, w2 = 3528.713, dw = -0.04604, nw = 1651 z120904.0004.ec.fits: ap = 108, w1 = 3582.16, w2 = 3506.666, dw = -0.04575, nw = 1651 z120904.0004.ec.fits: ap = 109, w1 = 3559.918, w2 = 3484.892, dw = -0.04547, nw = 1651 z120904.0004.ec.fits: ap = 110, w1 = 3537.95, w2 = 3463.387, dw = -0.04519, nw = 1651 z120904.0004.ec.fits: ap = 111, w1 = 3516.252, w2 = 3442.146, dw = -0.04491, nw = 1651 z120904.0004.ec.fits: ap = 112, w1 = 3494.818, w2 = 3421.163, dw = -0.04464, nw = 1651 z120904.0004.ec.fits: ap = 113, w1 = 3473.644, w2 = 3400.435, dw = -0.04437, nw = 1651 z120904.0004.ec.fits: ap = 114, w1 = 3452.726, w2 = 3379.957, dw = -0.0441, nw = 1651 z120904.0004.ec.fits: ap = 115, w1 = 3432.057, w2 = 3359.723, dw = -0.04384, nw = 1651 Continuum fitting the spectra... Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Combining spectra... Dec 10 12:19: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120904.0021.ec.fits[ 1] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 2] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 3] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 4] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 5] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 6] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 7] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 8] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 9] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 10] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 11] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 12] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 13] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 14] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 15] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 16] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 17] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 18] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 19] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 20] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 21] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 22] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 23] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 24] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 25] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 26] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 27] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 28] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 29] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 30] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 31] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 32] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 33] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 34] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 35] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 36] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 37] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 38] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 39] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 40] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 41] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 42] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 43] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 44] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 45] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 46] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 47] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 48] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 49] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 50] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 51] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 52] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 53] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 54] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 55] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 56] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 57] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 58] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 59] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 60] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 61] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 62] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 63] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 64] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 65] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 66] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 67] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 68] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 69] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 70] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 71] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 72] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 73] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 74] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 75] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 76] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 77] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 78] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 79] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 80] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 81] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 82] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 83] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 84] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 85] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 86] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 87] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 88] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 89] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 90] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 91] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 92] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 93] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 94] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 95] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 96] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 97] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 98] 720.0 1.000 0. 0.009 120904.0021.ec.fits[ 99] 720.0 1.000 0. 0.009 120904.0021.ec.fits[100] 720.0 1.000 0. 0.009 120904.0021.ec.fits[101] 720.0 1.000 0. 0.009 120904.0021.ec.fits[102] 720.0 1.000 0. 0.009 120904.0021.ec.fits[103] 720.0 1.000 0. 0.009 120904.0021.ec.fits[104] 720.0 1.000 0. 0.009 120904.0021.ec.fits[105] 720.0 1.000 0. 0.009 120904.0021.ec.fits[106] 720.0 1.000 0. 0.009 120904.0021.ec.fits[107] 720.0 1.000 0. 0.009 120904.0021.ec.fits[108] 720.0 1.000 0. 0.009 120904.0021.ec.fits[109] 720.0 1.000 0. 0.009 120904.0021.ec.fits[110] 720.0 1.000 0. 0.009 120904.0021.ec.fits[111] 720.0 1.000 0. 0.009 120904.0021.ec.fits[112] 720.0 1.000 0. 0.009 120904.0021.ec.fits[113] 720.0 1.000 0. 0.009 120904.0021.ec.fits[114] 720.0 1.000 0. 0.009 120904.0021.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum120904.0021.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.723, w2 = 10812.16, dw = 0.04383888, nw = 169997., dtype = 0 Dec 10 12:20: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120904.0022.ec.fits[ 1] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 2] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 3] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 4] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 5] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 6] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 7] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 8] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 9] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 10] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 11] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 12] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 13] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 14] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 15] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 16] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 17] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 18] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 19] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 20] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 21] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 22] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 23] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 24] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 25] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 26] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 27] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 28] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 29] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 30] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 31] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 32] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 33] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 34] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 35] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 36] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 37] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 38] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 39] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 40] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 41] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 42] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 43] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 44] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 45] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 46] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 47] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 48] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 49] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 50] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 51] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 52] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 53] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 54] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 55] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 56] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 57] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 58] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 59] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 60] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 61] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 62] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 63] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 64] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 65] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 66] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 67] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 68] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 69] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 70] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 71] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 72] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 73] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 74] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 75] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 76] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 77] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 78] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 79] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 80] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 81] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 82] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 83] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 84] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 85] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 86] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 87] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 88] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 89] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 90] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 91] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 92] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 93] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 94] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 95] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 96] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 97] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 98] 900.0 1.000 0. 0.009 120904.0022.ec.fits[ 99] 900.0 1.000 0. 0.009 120904.0022.ec.fits[100] 900.0 1.000 0. 0.009 120904.0022.ec.fits[101] 900.0 1.000 0. 0.009 120904.0022.ec.fits[102] 900.0 1.000 0. 0.009 120904.0022.ec.fits[103] 900.0 1.000 0. 0.009 120904.0022.ec.fits[104] 900.0 1.000 0. 0.009 120904.0022.ec.fits[105] 900.0 1.000 0. 0.009 120904.0022.ec.fits[106] 900.0 1.000 0. 0.009 120904.0022.ec.fits[107] 900.0 1.000 0. 0.009 120904.0022.ec.fits[108] 900.0 1.000 0. 0.009 120904.0022.ec.fits[109] 900.0 1.000 0. 0.009 120904.0022.ec.fits[110] 900.0 1.000 0. 0.009 120904.0022.ec.fits[111] 900.0 1.000 0. 0.009 120904.0022.ec.fits[112] 900.0 1.000 0. 0.009 120904.0022.ec.fits[113] 900.0 1.000 0. 0.009 120904.0022.ec.fits[114] 900.0 1.000 0. 0.009 120904.0022.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum120904.0022.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.723, w2 = 10812.16, dw = 0.04383888, nw = 169997., dtype = 0 Dec 10 12:22: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120904.0023.ec.fits[ 1] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 2] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 3] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 4] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 5] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 6] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 7] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 8] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 9] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 10] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 11] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 12] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 13] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 14] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 15] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 16] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 17] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 18] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 19] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 20] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 21] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 22] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 23] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 24] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 25] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 26] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 27] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 28] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 29] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 30] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 31] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 32] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 33] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 34] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 35] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 36] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 37] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 38] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 39] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 40] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 41] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 42] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 43] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 44] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 45] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 46] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 47] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 48] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 49] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 50] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 51] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 52] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 53] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 54] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 55] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 56] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 57] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 58] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 59] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 60] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 61] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 62] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 63] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 64] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 65] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 66] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 67] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 68] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 69] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 70] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 71] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 72] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 73] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 74] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 75] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 76] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 77] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 78] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 79] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 80] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 81] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 82] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 83] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 84] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 85] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 86] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 87] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 88] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 89] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 90] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 91] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 92] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 93] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 94] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 95] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 96] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 97] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 98] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[ 99] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[100] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[101] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[102] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[103] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[104] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[105] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[106] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[107] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[108] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[109] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[110] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[111] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[112] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[113] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[114] 1200.0 1.000 0. 0.009 120904.0023.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum120904.0023.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.723, w2 = 10812.16, dw = 0.04383888, nw = 169997., dtype = 0 Dec 10 12:23: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120904.0024.ec.fits[ 1] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 2] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 3] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 4] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 5] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 6] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 7] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 8] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 9] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 10] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 11] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 12] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 13] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 14] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 15] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 16] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 17] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 18] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 19] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 20] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 21] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 22] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 23] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 24] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 25] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 26] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 27] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 28] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 29] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 30] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 31] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 32] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 33] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 34] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 35] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 36] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 37] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 38] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 39] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 40] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 41] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 42] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 43] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 44] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 45] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 46] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 47] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 48] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 49] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 50] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 51] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 52] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 53] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 54] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 55] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 56] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 57] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 58] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 59] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 60] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 61] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 62] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 63] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 64] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 65] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 66] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 67] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 68] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 69] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 70] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 71] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 72] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 73] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 74] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 75] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 76] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 77] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 78] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 79] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 80] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 81] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 82] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 83] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 84] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 85] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 86] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 87] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 88] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 89] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 90] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 91] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 92] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 93] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 94] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 95] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 96] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 97] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 98] 600.0 1.000 0. 0.009 120904.0024.ec.fits[ 99] 600.0 1.000 0. 0.009 120904.0024.ec.fits[100] 600.0 1.000 0. 0.009 120904.0024.ec.fits[101] 600.0 1.000 0. 0.009 120904.0024.ec.fits[102] 600.0 1.000 0. 0.009 120904.0024.ec.fits[103] 600.0 1.000 0. 0.009 120904.0024.ec.fits[104] 600.0 1.000 0. 0.009 120904.0024.ec.fits[105] 600.0 1.000 0. 0.009 120904.0024.ec.fits[106] 600.0 1.000 0. 0.009 120904.0024.ec.fits[107] 600.0 1.000 0. 0.009 120904.0024.ec.fits[108] 600.0 1.000 0. 0.009 120904.0024.ec.fits[109] 600.0 1.000 0. 0.009 120904.0024.ec.fits[110] 600.0 1.000 0. 0.009 120904.0024.ec.fits[111] 600.0 1.000 0. 0.009 120904.0024.ec.fits[112] 600.0 1.000 0. 0.009 120904.0024.ec.fits[113] 600.0 1.000 0. 0.009 120904.0024.ec.fits[114] 600.0 1.000 0. 0.009 120904.0024.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sum120904.0024.ec.fits, ncombine = 115, exptime = 69000.01 w1 = 3359.723, w2 = 10812.16, dw = 0.04383888, nw = 169997., dtype = 0 Dec 10 12:25: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120904.0025.ec.fits[ 1] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 2] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 3] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 4] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 5] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 6] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 7] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 8] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 9] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 10] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 11] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 12] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 13] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 14] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 15] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 16] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 17] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 18] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 19] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 20] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 21] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 22] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 23] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 24] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 25] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 26] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 27] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 28] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 29] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 30] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 31] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 32] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 33] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 34] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 35] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 36] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 37] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 38] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 39] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 40] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 41] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 42] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 43] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 44] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 45] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 46] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 47] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 48] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 49] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 50] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 51] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 52] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 53] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 54] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 55] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 56] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 57] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 58] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 59] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 60] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 61] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 62] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 63] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 64] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 65] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 66] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 67] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 68] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 69] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 70] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 71] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 72] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 73] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 74] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 75] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 76] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 77] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 78] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 79] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 80] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 81] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 82] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 83] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 84] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 85] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 86] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 87] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 88] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 89] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 90] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 91] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 92] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 93] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 94] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 95] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 96] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 97] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 98] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[ 99] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[100] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[101] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[102] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[103] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[104] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[105] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[106] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[107] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[108] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[109] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[110] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[111] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[112] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[113] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[114] 1800.0 1.000 0. 0.009 120904.0025.ec.fits[115] 1800.0 1.000 0. 0.009 Output image = sum120904.0025.ec.fits, ncombine = 115, exptime = 207000. w1 = 3359.723, w2 = 10812.16, dw = 0.04383888, nw = 169997., dtype = 0 Dec 10 12:26: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120904.0026.ec.fits[ 1] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 2] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 3] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 4] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 5] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 6] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 7] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 8] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 9] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 10] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 11] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 12] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 13] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 14] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 15] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 16] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 17] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 18] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 19] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 20] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 21] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 22] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 23] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 24] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 25] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 26] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 27] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 28] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 29] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 30] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 31] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 32] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 33] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 34] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 35] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 36] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 37] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 38] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 39] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 40] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 41] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 42] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 43] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 44] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 45] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 46] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 47] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 48] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 49] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 50] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 51] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 52] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 53] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 54] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 55] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 56] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 57] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 58] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 59] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 60] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 61] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 62] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 63] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 64] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 65] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 66] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 67] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 68] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 69] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 70] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 71] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 72] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 73] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 74] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 75] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 76] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 77] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 78] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 79] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 80] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 81] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 82] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 83] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 84] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 85] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 86] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 87] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 88] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 89] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 90] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 91] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 92] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 93] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 94] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 95] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 96] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 97] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 98] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[ 99] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[100] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[101] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[102] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[103] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[104] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[105] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[106] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[107] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[108] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[109] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[110] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[111] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[112] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[113] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[114] 1800.0 1.000 0. 0.009 120904.0026.ec.fits[115] 1800.0 1.000 0. 0.009 Output image = sum120904.0026.ec.fits, ncombine = 115, exptime = 207000. w1 = 3359.723, w2 = 10812.16, dw = 0.04383888, nw = 169997., dtype = 0 Dec 10 12:27: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120904.0027.ec.fits[ 1] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 2] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 3] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 4] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 5] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 6] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 7] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 8] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 9] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 10] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 11] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 12] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 13] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 14] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 15] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 16] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 17] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 18] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 19] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 20] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 21] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 22] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 23] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 24] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 25] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 26] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 27] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 28] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 29] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 30] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 31] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 32] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 33] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 34] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 35] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 36] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 37] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 38] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 39] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 40] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 41] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 42] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 43] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 44] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 45] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 46] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 47] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 48] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 49] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 50] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 51] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 52] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 53] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 54] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 55] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 56] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 57] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 58] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 59] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 60] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 61] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 62] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 63] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 64] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 65] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 66] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 67] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 68] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 69] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 70] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 71] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 72] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 73] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 74] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 75] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 76] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 77] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 78] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 79] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 80] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 81] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 82] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 83] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 84] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 85] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 86] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 87] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 88] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 89] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 90] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 91] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 92] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 93] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 94] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 95] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 96] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 97] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 98] 600.0 1.000 0. 0.009 120904.0027.ec.fits[ 99] 600.0 1.000 0. 0.009 120904.0027.ec.fits[100] 600.0 1.000 0. 0.009 120904.0027.ec.fits[101] 600.0 1.000 0. 0.009 120904.0027.ec.fits[102] 600.0 1.000 0. 0.009 120904.0027.ec.fits[103] 600.0 1.000 0. 0.009 120904.0027.ec.fits[104] 600.0 1.000 0. 0.009 120904.0027.ec.fits[105] 600.0 1.000 0. 0.009 120904.0027.ec.fits[106] 600.0 1.000 0. 0.009 120904.0027.ec.fits[107] 600.0 1.000 0. 0.009 120904.0027.ec.fits[108] 600.0 1.000 0. 0.009 120904.0027.ec.fits[109] 600.0 1.000 0. 0.009 120904.0027.ec.fits[110] 600.0 1.000 0. 0.009 120904.0027.ec.fits[111] 600.0 1.000 0. 0.009 120904.0027.ec.fits[112] 600.0 1.000 0. 0.009 120904.0027.ec.fits[113] 600.0 1.000 0. 0.009 120904.0027.ec.fits[114] 600.0 1.000 0. 0.009 120904.0027.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sum120904.0027.ec.fits, ncombine = 115, exptime = 69000.01 w1 = 3359.723, w2 = 10812.16, dw = 0.04383888, nw = 169997., dtype = 0 Dec 10 12:29: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120904.0021.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[100] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[101] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[102] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[103] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[104] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[105] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[106] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[107] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[108] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[109] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[110] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[111] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[112] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[113] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[114] 720.0 1.000 0. 0.009 fitcont120904.0021.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont120904.0021.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.723, w2 = 10812.16, dw = 0.04383888, nw = 169997., dtype = 0 Dec 10 12:30: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120904.0022.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[100] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[101] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[102] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[103] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[104] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[105] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[106] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[107] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[108] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[109] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[110] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[111] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[112] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[113] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[114] 900.0 1.000 0. 0.009 fitcont120904.0022.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont120904.0022.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.723, w2 = 10812.16, dw = 0.04383888, nw = 169997., dtype = 0 Dec 10 12:31: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120904.0023.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont120904.0023.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont120904.0023.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.723, w2 = 10812.16, dw = 0.04383888, nw = 169997., dtype = 0 Dec 10 12:33: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120904.0024.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[100] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[101] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[102] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[103] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[104] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[105] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[106] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[107] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[108] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[109] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[110] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[111] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[112] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[113] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[114] 600.0 1.000 0. 0.009 fitcont120904.0024.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumfitcont120904.0024.ec.fits, ncombine = 115, exptime = 69000.01 w1 = 3359.723, w2 = 10812.16, dw = 0.04383888, nw = 169997., dtype = 0 Dec 10 12:34: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120904.0025.ec.fits[ 1] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 2] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 3] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 4] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 5] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 6] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 7] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 8] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 9] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 10] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 11] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 12] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 13] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 14] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 15] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 16] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 17] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 18] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 19] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 20] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 21] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 22] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 23] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 24] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 25] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 26] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 27] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 28] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 29] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 30] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 31] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 32] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 33] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 34] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 35] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 36] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 37] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 38] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 39] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 40] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 41] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 42] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 43] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 44] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 45] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 46] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 47] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 48] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 49] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 50] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 51] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 52] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 53] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 54] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 55] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 56] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 57] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 58] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 59] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 60] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 61] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 62] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 63] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 64] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 65] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 66] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 67] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 68] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 69] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 70] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 71] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 72] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 73] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 74] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 75] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 76] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 77] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 78] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 79] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 80] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 81] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 82] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 83] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 84] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 85] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 86] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 87] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 88] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 89] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 90] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 91] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 92] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 93] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 94] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 95] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 96] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 97] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 98] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[ 99] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[100] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[101] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[102] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[103] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[104] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[105] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[106] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[107] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[108] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[109] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[110] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[111] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[112] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[113] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[114] 1800.0 1.000 0. 0.009 fitcont120904.0025.ec.fits[115] 1800.0 1.000 0. 0.009 Output image = sumfitcont120904.0025.ec.fits, ncombine = 115, exptime = 207000. w1 = 3359.723, w2 = 10812.16, dw = 0.04383888, nw = 169997., dtype = 0 Dec 10 12:35: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120904.0026.ec.fits[ 1] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 2] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 3] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 4] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 5] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 6] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 7] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 8] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 9] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 10] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 11] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 12] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 13] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 14] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 15] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 16] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 17] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 18] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 19] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 20] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 21] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 22] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 23] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 24] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 25] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 26] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 27] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 28] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 29] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 30] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 31] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 32] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 33] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 34] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 35] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 36] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 37] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 38] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 39] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 40] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 41] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 42] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 43] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 44] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 45] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 46] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 47] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 48] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 49] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 50] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 51] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 52] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 53] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 54] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 55] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 56] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 57] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 58] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 59] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 60] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 61] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 62] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 63] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 64] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 65] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 66] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 67] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 68] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 69] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 70] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 71] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 72] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 73] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 74] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 75] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 76] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 77] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 78] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 79] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 80] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 81] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 82] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 83] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 84] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 85] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 86] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 87] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 88] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 89] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 90] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 91] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 92] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 93] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 94] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 95] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 96] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 97] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 98] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[ 99] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[100] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[101] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[102] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[103] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[104] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[105] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[106] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[107] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[108] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[109] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[110] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[111] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[112] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[113] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[114] 1800.0 1.000 0. 0.009 fitcont120904.0026.ec.fits[115] 1800.0 1.000 0. 0.009 Output image = sumfitcont120904.0026.ec.fits, ncombine = 115, exptime = 207000. w1 = 3359.723, w2 = 10812.16, dw = 0.04383888, nw = 169997., dtype = 0 Dec 10 12:36: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120904.0027.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[100] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[101] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[102] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[103] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[104] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[105] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[106] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[107] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[108] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[109] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[110] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[111] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[112] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[113] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[114] 600.0 1.000 0. 0.009 fitcont120904.0027.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumfitcont120904.0027.ec.fits, ncombine = 115, exptime = 69000.01 w1 = 3359.723, w2 = 10812.16, dw = 0.04383888, nw = 169997., dtype = 0 82799.99 fullspec120904.0021.ec.fits,EXPTIME: 82799.99 -> 719.999913043 fullspec120904.0021.ec.fits updated 103500. fullspec120904.0022.ec.fits,EXPTIME: 103500. -> 900.0 fullspec120904.0022.ec.fits updated 138000. fullspec120904.0023.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec120904.0023.ec.fits updated 69000.01 fullspec120904.0024.ec.fits,EXPTIME: 69000.01 -> 600.000086957 fullspec120904.0024.ec.fits updated 207000. fullspec120904.0025.ec.fits,EXPTIME: 207000. -> 1800.0 fullspec120904.0025.ec.fits updated 207000. fullspec120904.0026.ec.fits,EXPTIME: 207000. -> 1800.0 fullspec120904.0026.ec.fits updated 69000.01 fullspec120904.0027.ec.fits,EXPTIME: 69000.01 -> 600.000086957 fullspec120904.0027.ec.fits updated ALL DONE! Yay! (=^.^=)