Copying data files and other necessary files Changing to reduced data directory Generating file lists... Setting dispaxis... add 120826.0001.fits,dispaxis = 1 120826.0001.fits updated add 120826.0002.fits,dispaxis = 1 120826.0002.fits updated add 120826.0003.fits,dispaxis = 1 120826.0003.fits updated add 120826.0005.fits,dispaxis = 1 120826.0005.fits updated add 120826.0006.fits,dispaxis = 1 120826.0006.fits updated add 120826.0007.fits,dispaxis = 1 120826.0007.fits updated add 120826.0008.fits,dispaxis = 1 120826.0008.fits updated add 120826.0009.fits,dispaxis = 1 120826.0009.fits updated add 120826.0010.fits,dispaxis = 1 120826.0010.fits updated add 120826.0011.fits,dispaxis = 1 120826.0011.fits updated add 120826.0012.fits,dispaxis = 1 120826.0012.fits updated add 120826.0013.fits,dispaxis = 1 120826.0013.fits updated add 120826.0014.fits,dispaxis = 1 120826.0014.fits updated add 120826.0015.fits,dispaxis = 1 120826.0015.fits updated add 120826.0016.fits,dispaxis = 1 120826.0016.fits updated add 120826.0017.fits,dispaxis = 1 120826.0017.fits updated add 120826.0018.fits,dispaxis = 1 120826.0018.fits updated add 120826.0019.fits,dispaxis = 1 120826.0019.fits updated add 120826.0020.fits,dispaxis = 1 120826.0020.fits updated add 120826.0021.fits,dispaxis = 1 120826.0021.fits updated add 120826.0022.fits,dispaxis = 1 120826.0022.fits updated add 120826.0023.fits,dispaxis = 1 120826.0023.fits updated add 120826.0024.fits,dispaxis = 1 120826.0024.fits updated add 120826.0025.fits,dispaxis = 1 120826.0025.fits updated add 120826.0026.fits,dispaxis = 1 120826.0026.fits updated add 120826.0027.fits,dispaxis = 1 120826.0027.fits updated add 120826.0028.fits,dispaxis = 1 120826.0028.fits updated add 120826.0029.fits,dispaxis = 1 120826.0029.fits updated add 120826.0030.fits,dispaxis = 1 120826.0030.fits updated add 120826.0031.fits,dispaxis = 1 120826.0031.fits updated FIXPIX: image 120826.0010.fits with mask echmask.pl FIXPIX: image 120826.0011.fits with mask echmask.pl FIXPIX: image 120826.0012.fits with mask echmask.pl FIXPIX: image 120826.0013.fits with mask echmask.pl FIXPIX: image 120826.0014.fits with mask echmask.pl FIXPIX: image 120826.0015.fits with mask echmask.pl FIXPIX: image 120826.0001.fits with mask echmask.pl FIXPIX: image 120826.0002.fits with mask echmask.pl FIXPIX: image 120826.0003.fits with mask echmask.pl FIXPIX: image 120826.0005.fits with mask echmask.pl FIXPIX: image 120826.0026.fits with mask echmask.pl FIXPIX: image 120826.0027.fits with mask echmask.pl FIXPIX: image 120826.0028.fits with mask echmask.pl FIXPIX: image 120826.0029.fits with mask echmask.pl FIXPIX: image 120826.0030.fits with mask echmask.pl FIXPIX: image 120826.0031.fits with mask echmask.pl FIXPIX: image 120826.0006.fits with mask echmask.pl FIXPIX: image 120826.0007.fits with mask echmask.pl FIXPIX: image 120826.0008.fits with mask echmask.pl FIXPIX: image 120826.0009.fits with mask echmask.pl Dec 10 12:56: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Exp 120826.0016.fits 0.0 120826.0017.fits 0.0 120826.0018.fits 0.9 120826.0019.fits 0.0 120826.0020.fits 0.9 120826.0021.fits 0.0 120826.0022.fits 0.9 120826.0023.fits 0.0 120826.0024.fits 0.9 120826.0025.fits 0.0 Output image = bias_fid, ncombine = 10 Calibrating object images and flats (bias, and trimming)... 120826.0001.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] bias_fid: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120826.0001.fits: Dec 10 12:56 Zero level correction image is bias_fid 120826.0002.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120826.0002.fits: Dec 10 12:56 Zero level correction image is bias_fid 120826.0003.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120826.0003.fits: Dec 10 12:56 Zero level correction image is bias_fid 120826.0005.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120826.0005.fits: Dec 10 12:56 Zero level correction image is bias_fid 120826.0026.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120826.0026.fits: Dec 10 12:56 Zero level correction image is bias_fid 120826.0027.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120826.0027.fits: Dec 10 12:56 Zero level correction image is bias_fid 120826.0028.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120826.0028.fits: Dec 10 12:56 Zero level correction image is bias_fid 120826.0029.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120826.0029.fits: Dec 10 12:56 Zero level correction image is bias_fid 120826.0030.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120826.0030.fits: Dec 10 12:56 Zero level correction image is bias_fid 120826.0031.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120826.0031.fits: Dec 10 12:56 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... 120826.0010.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120826.0010.fits: Dec 10 12:56 Zero level correction image is bias_fid 120826.0011.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120826.0011.fits: Dec 10 12:56 Zero level correction image is bias_fid 120826.0012.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120826.0012.fits: Dec 10 12:56 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... 120826.0013.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120826.0013.fits: Dec 10 12:56 Zero level correction image is bias_fid 120826.0014.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120826.0014.fits: Dec 10 12:56 Zero level correction image is bias_fid 120826.0015.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120826.0015.fits: Dec 10 12:56 Zero level correction image is bias_fid Calibrating ThAr arcs... 120826.0006.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120826.0006.fits: Dec 10 12:56 Zero level correction image is bias_fid 120826.0007.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120826.0007.fits: Dec 10 12:56 Zero level correction image is bias_fid 120826.0008.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120826.0008.fits: Dec 10 12:56 Zero level correction image is bias_fid 120826.0009.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120826.0009.fits: Dec 10 12:56 Zero level correction image is bias_fid Combining red and blue flats into separate fiducial flats... Dec 10 12:57: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp 120826.0013.fits 200.0 120826.0014.fits 200.0 120826.0015.fits 200.0 Output image = flat_blue_mean.fits, ncombine = 3 Dec 10 12:57: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp 120826.0010.fits 7.0 120826.0011.fits 7.0 120826.0012.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 12:57: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1615. Dec 10 12:57: TRACE - Trace of aperture 99 in flat_fid_mag recovered at column 1616. Dec 10 12:57: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1576. Dec 10 12:57: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1577. Dec 10 12:57: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1622. Dec 10 12:57: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1623. Dec 10 12:57: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1624. Dec 10 12:57: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1583. Dec 10 12:57: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 1584. Dec 10 12:57: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1598. Dec 10 12:57: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 1599. Dec 10 12:57: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1634. Dec 10 12:57: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1635. Dec 10 12:57: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1636. Dec 10 12:57: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 146. Dec 10 12:57: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 145. Dec 10 12:57: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1577. Dec 10 12:57: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1578. Dec 10 12:57: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1625. Dec 10 12:57: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1626. Dec 10 12:57: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1561. Dec 10 12:57: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1562. Dec 10 12:57: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1592. Dec 10 12:57: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1593. Dec 10 12:57: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1595. Dec 10 12:57: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1596. Dec 10 12:57: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1597. Dec 10 12:57: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 167. Dec 10 12:57: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 166. Dec 10 12:57: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1558. Dec 10 12:57: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1559. Dec 10 12:57: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1633. Dec 10 12:57: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1634. Dec 10 12:57: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1635. Dec 10 12:57: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1637. Dec 10 12:57: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1638. Dec 10 12:57: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 124. Dec 10 12:57: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 123. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1494. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1495. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1543. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1544. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1545. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1546. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1583. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1584. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1645. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1646. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1647. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1551. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1552. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1553. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 160. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 159. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 156. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 155. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 154. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 147. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 146. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 145. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 137. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 136. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 135. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 86. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 85. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 84. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1476. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1477. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1543. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1544. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1545. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 196. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 195. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 194. Dec 10 12:57: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1501. Dec 10 12:57: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1502. Dec 10 12:57: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1512. Dec 10 12:57: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1513. Dec 10 12:57: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1514. Dec 10 12:57: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1530. Dec 10 12:57: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1531. Dec 10 12:57: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1534. Dec 10 12:57: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1535. Dec 10 12:57: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1542. Dec 10 12:57: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1543. Dec 10 12:57: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1609. Dec 10 12:57: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1610. Dec 10 12:57: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1619. Dec 10 12:57: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1620. Dec 10 12:57: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1626. Dec 10 12:57: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1627. Dec 10 12:57: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1628. Dec 10 12:57: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1633. Dec 10 12:57: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1634. Dec 10 12:57: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 197. Dec 10 12:57: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 196. Dec 10 12:57: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 150. Dec 10 12:57: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 149. Dec 10 12:57: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 116. Dec 10 12:57: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 115. Dec 10 12:57: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 93. Dec 10 12:57: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 92. Dec 10 12:57: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 68. Dec 10 12:57: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 67. Dec 10 12:57: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 45. Dec 10 12:57: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 44. Dec 10 12:57: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1343. Dec 10 12:57: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1344. Dec 10 12:57: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1476. Dec 10 12:57: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1477. Dec 10 12:57: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1478. Dec 10 12:57: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 206. Dec 10 12:57: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 205. Dec 10 12:57: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 164. Dec 10 12:57: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 163. Dec 10 12:57: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 149. Dec 10 12:57: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 148. Dec 10 12:57: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 138. Dec 10 12:57: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 137. Dec 10 12:57: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 135. Dec 10 12:57: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 134. Dec 10 12:57: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 133. Dec 10 12:57: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1385. Dec 10 12:57: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1386. Dec 10 12:57: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1387. Dec 10 12:57: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 224. Dec 10 12:57: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 223. Dec 10 12:57: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 222. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1261. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1262. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1324. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1325. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1326. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1361. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1362. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1382. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1383. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1384. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1385. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1386. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 254. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 253. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 252. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 245. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 244. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 193. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 192. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 189. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 188. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 187. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 186. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 185. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 183. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 182. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 181. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 178. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 177. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 171. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 170. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 169. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 145. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 144. Dec 10 12:57: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 143. Dec 10 12:57: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1282. Dec 10 12:57: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1283. Dec 10 12:57: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1334. Dec 10 12:57: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1335. Dec 10 12:57: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1336. Dec 10 12:57: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 307. Dec 10 12:57: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 306. Dec 10 12:57: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 305. Dec 10 12:57: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 273. Dec 10 12:57: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 272. Dec 10 12:57: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 270. Dec 10 12:57: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 269. Dec 10 12:57: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 268. Dec 10 12:57: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1235. Dec 10 12:57: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1236. Dec 10 12:57: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1237. Dec 10 12:57: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1238. Dec 10 12:57: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1239. Dec 10 12:57: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 258. Dec 10 12:57: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 257. Dec 10 12:57: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 256. Dec 10 12:57: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 253. Dec 10 12:57: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 252. Dec 10 12:57: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 251. Dec 10 12:57: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 236. Dec 10 12:57: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 235. Dec 10 12:57: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 228. Dec 10 12:57: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 227. Dec 10 12:57: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 216. Dec 10 12:57: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 215. Dec 10 12:57: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 214. Dec 10 12:57: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 178. Dec 10 12:57: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 177. Dec 10 12:57: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 170. Dec 10 12:57: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 169. Dec 10 12:57: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 168. Dec 10 12:57: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 145. Dec 10 12:57: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 144. Dec 10 12:57: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 143. Dec 10 12:57: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 140. Dec 10 12:57: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 139. Dec 10 12:57: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 138. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1123. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1124. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1128. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1129. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1130. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1227. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1228. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1242. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1243. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1244. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1304. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1305. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1306. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1307. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1308. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1338. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1339. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1378. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1379. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1380. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1399. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1400. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1419. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1420. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1421. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1428. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1429. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1430. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1440. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1441. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1447. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1448. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1450. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1451. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1459. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1460. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1464. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1465. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1466. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 425. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 424. Dec 10 12:57: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 423. Dec 10 12:57: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 892. Dec 10 12:57: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 893. Dec 10 12:57: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 894. Dec 10 12:57: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 674. Dec 10 12:57: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 673. Dec 10 12:57: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 672. Dec 10 12:57: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 526. Dec 10 12:57: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 525. Dec 10 12:57: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 444. Dec 10 12:57: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 443. Dec 10 12:57: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 442. Normalizing the superflat... flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits IMARITH: Operation = + Operand1 = nonorm_flat_fid_mag.ec.fits Operand2 = 16.3 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... 120826.0006.fits Magnify image 120826.0006.fits to image 120826.0006.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 120826.0006.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120826.0006.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... 120826.0007.fits Magnify image 120826.0007.fits to image 120826.0007.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120826.0007.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120826.0007.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... 120826.0008.fits Magnify image 120826.0008.fits to image 120826.0008.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120826.0008.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120826.0008.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... 120826.0009.fits Magnify image 120826.0009.fits to image 120826.0009.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 120826.0009.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120826.0009.fits updated Applying model apertures to the arc and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120826.0001 Magnify image 120826.0001 to image 120826.0001. 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 120826.0001,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120826.0001 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120826.0001 -> noscat120826.0001 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120826.0002 Magnify image 120826.0002 to image 120826.0002. 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 120826.0002,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120826.0002 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120826.0002 -> noscat120826.0002 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 13:00: EXTRACT: WARNING - Aperture 1: Dec 10 13:00: Total variance weighted spectrum flux is 4255.355 Dec 10 13:00: Total unweighted spectrum flux is -1603.579 Dec 10 13:00: Variance spectrum bias factor ignored Dec 10 13:00: EXTRACT: WARNING - Aperture 2: Dec 10 13:00: Total variance weighted spectrum flux is 8844.222 Dec 10 13:00: Total unweighted spectrum flux is 4056.25 Dec 10 13:00: EXTRACT: Aperture 2 variance spectrum bias factor is 0.4586328 Dec 10 13:01: EXTRACT: WARNING - Aperture 100: Dec 10 13:01: Total variance weighted spectrum flux is 16785.46 Dec 10 13:01: Total unweighted spectrum flux is 8087.343 Dec 10 13:01: EXTRACT: Aperture 100 variance spectrum bias factor is 0.4818064 Dec 10 13:01: EXTRACT: WARNING - Aperture 102: Dec 10 13:01: Total variance weighted spectrum flux is 12637.41 Dec 10 13:01: Total unweighted spectrum flux is 6225.759 Dec 10 13:01: EXTRACT: Aperture 102 variance spectrum bias factor is 0.4926453 Dec 10 13:01: EXTRACT: WARNING - Aperture 104: Dec 10 13:01: Total variance weighted spectrum flux is 7954.917 Dec 10 13:01: Total unweighted spectrum flux is 3364.746 Dec 10 13:01: EXTRACT: Aperture 104 variance spectrum bias factor is 0.4229769 Dec 10 13:01: EXTRACT: WARNING - Aperture 105: Dec 10 13:01: Total variance weighted spectrum flux is 8806.218 Dec 10 13:01: Total unweighted spectrum flux is 2021.276 Dec 10 13:01: EXTRACT: Aperture 105 variance spectrum bias factor is 0.2295283 Dec 10 13:01: EXTRACT: WARNING - Aperture 106: Dec 10 13:01: Total variance weighted spectrum flux is 9520.197 Dec 10 13:01: Total unweighted spectrum flux is 1326.535 Dec 10 13:01: EXTRACT: Aperture 106 variance spectrum bias factor is 0.139339 Dec 10 13:01: EXTRACT: WARNING - Aperture 107: Dec 10 13:01: Total variance weighted spectrum flux is 7300.326 Dec 10 13:01: Total unweighted spectrum flux is 1202.574 Dec 10 13:01: EXTRACT: Aperture 107 variance spectrum bias factor is 0.1647289 Dec 10 13:01: EXTRACT: WARNING - Aperture 108: Dec 10 13:01: Total variance weighted spectrum flux is 5669.058 Dec 10 13:01: Total unweighted spectrum flux is 271.363 Dec 10 13:01: EXTRACT: Aperture 108 variance spectrum bias factor is 0.04786739 Dec 10 13:01: EXTRACT: WARNING - Aperture 109: Dec 10 13:01: Total variance weighted spectrum flux is 5788.183 Dec 10 13:01: Total unweighted spectrum flux is -614.4883 Dec 10 13:01: Variance spectrum bias factor ignored Dec 10 13:01: EXTRACT: WARNING - Aperture 110: Dec 10 13:01: Total variance weighted spectrum flux is 6406.395 Dec 10 13:01: Total unweighted spectrum flux is -243.6457 Dec 10 13:01: Variance spectrum bias factor ignored Dec 10 13:01: EXTRACT: WARNING - Aperture 111: Dec 10 13:01: Total variance weighted spectrum flux is 2081.957 Dec 10 13:01: Total unweighted spectrum flux is -71.75753 Dec 10 13:01: Variance spectrum bias factor ignored Dec 10 13:02: EXTRACT: WARNING - Aperture 112: Dec 10 13:02: Total variance weighted spectrum flux is 5834.895 Dec 10 13:02: Total unweighted spectrum flux is 1405.692 Dec 10 13:02: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2409112 Dec 10 13:02: EXTRACT: WARNING - Aperture 113: Dec 10 13:02: Total variance weighted spectrum flux is 3703.553 Dec 10 13:02: Total unweighted spectrum flux is 1580.696 Dec 10 13:02: EXTRACT: Aperture 113 variance spectrum bias factor is 0.4268053 Dec 10 13:02: EXTRACT: WARNING - Aperture 114: Dec 10 13:02: Total variance weighted spectrum flux is 6174.795 Dec 10 13:02: Total unweighted spectrum flux is 534.4948 Dec 10 13:02: EXTRACT: Aperture 114 variance spectrum bias factor is 0.08656073 Dec 10 13:02: EXTRACT: WARNING - Aperture 115: Dec 10 13:02: Total variance weighted spectrum flux is 35.49834 Dec 10 13:02: Total unweighted spectrum flux is -523.3024 Dec 10 13:02: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 120826.0003 Magnify image 120826.0003 to image 120826.0003. 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 120826.0003,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120826.0003 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120826.0003 -> noscat120826.0003 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120826.0005 Magnify image 120826.0005 to image 120826.0005. 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 120826.0005,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120826.0005 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120826.0005 -> noscat120826.0005 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 13:04: EXTRACT: WARNING - Aperture 1: Dec 10 13:04: Total variance weighted spectrum flux is 3144.466 Dec 10 13:04: Total unweighted spectrum flux is -1063.217 Dec 10 13:04: Variance spectrum bias factor ignored Dec 10 13:04: EXTRACT: WARNING - Aperture 2: Dec 10 13:04: Total variance weighted spectrum flux is 5005.995 Dec 10 13:04: Total unweighted spectrum flux is 1663.009 Dec 10 13:04: EXTRACT: Aperture 2 variance spectrum bias factor is 0.3322035 Dec 10 13:05: EXTRACT: WARNING - Aperture 83: Dec 10 13:05: Total variance weighted spectrum flux is 8756.618 Dec 10 13:05: Total unweighted spectrum flux is 3754.543 Dec 10 13:05: EXTRACT: Aperture 83 variance spectrum bias factor is 0.4287663 Dec 10 13:05: EXTRACT: WARNING - Aperture 86: Dec 10 13:05: Total variance weighted spectrum flux is 12557.46 Dec 10 13:05: Total unweighted spectrum flux is 6218.667 Dec 10 13:05: EXTRACT: Aperture 86 variance spectrum bias factor is 0.495217 Dec 10 13:05: EXTRACT: WARNING - Aperture 88: Dec 10 13:05: Total variance weighted spectrum flux is 11612.02 Dec 10 13:05: Total unweighted spectrum flux is 4558.122 Dec 10 13:05: EXTRACT: Aperture 88 variance spectrum bias factor is 0.3925349 Dec 10 13:05: EXTRACT: WARNING - Aperture 89: Dec 10 13:05: Total variance weighted spectrum flux is 10421.02 Dec 10 13:05: Total unweighted spectrum flux is 5071.166 Dec 10 13:05: EXTRACT: Aperture 89 variance spectrum bias factor is 0.4866284 Dec 10 13:05: EXTRACT: WARNING - Aperture 90: Dec 10 13:05: Total variance weighted spectrum flux is 7485.152 Dec 10 13:05: Total unweighted spectrum flux is 3417.336 Dec 10 13:05: EXTRACT: Aperture 90 variance spectrum bias factor is 0.4565486 Dec 10 13:05: EXTRACT: WARNING - Aperture 91: Dec 10 13:05: Total variance weighted spectrum flux is 6324.235 Dec 10 13:05: Total unweighted spectrum flux is 1791.52 Dec 10 13:05: EXTRACT: Aperture 91 variance spectrum bias factor is 0.2832785 Dec 10 13:05: EXTRACT: WARNING - Aperture 92: Dec 10 13:05: Total variance weighted spectrum flux is 11502.25 Dec 10 13:05: Total unweighted spectrum flux is 3810.975 Dec 10 13:05: EXTRACT: Aperture 92 variance spectrum bias factor is 0.3313243 Dec 10 13:05: EXTRACT: WARNING - Aperture 93: Dec 10 13:05: Total variance weighted spectrum flux is 7379.189 Dec 10 13:05: Total unweighted spectrum flux is 1199.332 Dec 10 13:05: EXTRACT: Aperture 93 variance spectrum bias factor is 0.1625289 Dec 10 13:05: EXTRACT: WARNING - Aperture 94: Dec 10 13:05: Total variance weighted spectrum flux is 7794.142 Dec 10 13:05: Total unweighted spectrum flux is 1584.644 Dec 10 13:05: EXTRACT: Aperture 94 variance spectrum bias factor is 0.2033122 Dec 10 13:05: EXTRACT: WARNING - Aperture 95: Dec 10 13:05: Total variance weighted spectrum flux is 5335.819 Dec 10 13:05: Total unweighted spectrum flux is -81.62803 Dec 10 13:05: Variance spectrum bias factor ignored Dec 10 13:05: EXTRACT: WARNING - Aperture 96: Dec 10 13:05: Total variance weighted spectrum flux is 7788.453 Dec 10 13:05: Total unweighted spectrum flux is 742.8337 Dec 10 13:05: EXTRACT: Aperture 96 variance spectrum bias factor is 0.09537629 Dec 10 13:05: EXTRACT: WARNING - Aperture 97: Dec 10 13:05: Total variance weighted spectrum flux is 8810.804 Dec 10 13:05: Total unweighted spectrum flux is 1941.681 Dec 10 13:05: EXTRACT: Aperture 97 variance spectrum bias factor is 0.220375 Dec 10 13:05: EXTRACT: WARNING - Aperture 98: Dec 10 13:05: Total variance weighted spectrum flux is 7826.338 Dec 10 13:05: Total unweighted spectrum flux is 996.4485 Dec 10 13:05: EXTRACT: Aperture 98 variance spectrum bias factor is 0.1273199 Dec 10 13:05: EXTRACT: WARNING - Aperture 99: Dec 10 13:05: Total variance weighted spectrum flux is 6791.127 Dec 10 13:05: Total unweighted spectrum flux is 2051.521 Dec 10 13:05: EXTRACT: Aperture 99 variance spectrum bias factor is 0.3020884 Dec 10 13:05: EXTRACT: WARNING - Aperture 100: Dec 10 13:05: Total variance weighted spectrum flux is 5742.866 Dec 10 13:05: Total unweighted spectrum flux is 161.7071 Dec 10 13:05: EXTRACT: Aperture 100 variance spectrum bias factor is 0.02815791 Dec 10 13:05: EXTRACT: WARNING - Aperture 101: Dec 10 13:05: Total variance weighted spectrum flux is 5398.432 Dec 10 13:05: Total unweighted spectrum flux is 254.7609 Dec 10 13:05: EXTRACT: Aperture 101 variance spectrum bias factor is 0.04719166 Dec 10 13:05: EXTRACT: WARNING - Aperture 102: Dec 10 13:05: Total variance weighted spectrum flux is 6945.85 Dec 10 13:05: Total unweighted spectrum flux is -244.6599 Dec 10 13:05: Variance spectrum bias factor ignored Dec 10 13:05: EXTRACT: WARNING - Aperture 103: Dec 10 13:05: Total variance weighted spectrum flux is 6333.157 Dec 10 13:05: Total unweighted spectrum flux is 1011.226 Dec 10 13:05: EXTRACT: Aperture 103 variance spectrum bias factor is 0.1596717 Dec 10 13:05: EXTRACT: WARNING - Aperture 104: Dec 10 13:05: Total variance weighted spectrum flux is 6412.594 Dec 10 13:05: Total unweighted spectrum flux is 1312.511 Dec 10 13:05: EXTRACT: Aperture 104 variance spectrum bias factor is 0.2046771 Dec 10 13:05: EXTRACT: WARNING - Aperture 105: Dec 10 13:05: Total variance weighted spectrum flux is 3406.004 Dec 10 13:05: Total unweighted spectrum flux is -147.7213 Dec 10 13:05: Variance spectrum bias factor ignored Dec 10 13:06: EXTRACT: WARNING - Aperture 106: Dec 10 13:06: Total variance weighted spectrum flux is 10096.58 Dec 10 13:06: Total unweighted spectrum flux is 515.0345 Dec 10 13:06: EXTRACT: Aperture 106 variance spectrum bias factor is 0.05101079 Dec 10 13:06: EXTRACT: WARNING - Aperture 107: Dec 10 13:06: Total variance weighted spectrum flux is 4261.563 Dec 10 13:06: Total unweighted spectrum flux is -1148.003 Dec 10 13:06: Variance spectrum bias factor ignored Dec 10 13:06: EXTRACT: WARNING - Aperture 108: Dec 10 13:06: Total variance weighted spectrum flux is 11378.7 Dec 10 13:06: Total unweighted spectrum flux is -955.7778 Dec 10 13:06: Variance spectrum bias factor ignored Dec 10 13:06: EXTRACT: WARNING - Aperture 109: Dec 10 13:06: Total variance weighted spectrum flux is 6410.459 Dec 10 13:06: Total unweighted spectrum flux is -470.9883 Dec 10 13:06: Variance spectrum bias factor ignored Dec 10 13:06: EXTRACT: WARNING - Aperture 110: Dec 10 13:06: Total variance weighted spectrum flux is 4486.807 Dec 10 13:06: Total unweighted spectrum flux is -810.703 Dec 10 13:06: Variance spectrum bias factor ignored Dec 10 13:06: EXTRACT: WARNING - Aperture 111: Dec 10 13:06: Total variance weighted spectrum flux is 5386.795 Dec 10 13:06: Total unweighted spectrum flux is 190.159 Dec 10 13:06: EXTRACT: Aperture 111 variance spectrum bias factor is 0.03530094 Dec 10 13:06: EXTRACT: WARNING - Aperture 112: Dec 10 13:06: Total variance weighted spectrum flux is 3400.928 Dec 10 13:06: Total unweighted spectrum flux is -338.9652 Dec 10 13:06: Variance spectrum bias factor ignored Dec 10 13:06: EXTRACT: WARNING - Aperture 113: Dec 10 13:06: Total variance weighted spectrum flux is 1716.369 Dec 10 13:06: Total unweighted spectrum flux is -281.9158 Dec 10 13:06: Variance spectrum bias factor ignored Dec 10 13:06: EXTRACT: WARNING - Aperture 114: Dec 10 13:06: Total variance weighted spectrum flux is 6073.137 Dec 10 13:06: Total unweighted spectrum flux is 717.9921 Dec 10 13:06: EXTRACT: Aperture 114 variance spectrum bias factor is 0.1182243 Resampling the object by a factor of 4 in the y direction... 120826.0026 Magnify image 120826.0026 to image 120826.0026. 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 120826.0026,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120826.0026 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120826.0026 -> noscat120826.0026 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 13:07: EXTRACT: WARNING - Aperture 100: Dec 10 13:07: Total variance weighted spectrum flux is 18602.51 Dec 10 13:07: Total unweighted spectrum flux is 9133.031 Dec 10 13:07: EXTRACT: Aperture 100 variance spectrum bias factor is 0.4909568 Dec 10 13:07: EXTRACT: WARNING - Aperture 102: Dec 10 13:07: Total variance weighted spectrum flux is 18196.78 Dec 10 13:07: Total unweighted spectrum flux is 8739.873 Dec 10 13:07: EXTRACT: Aperture 102 variance spectrum bias factor is 0.4802977 Dec 10 13:07: EXTRACT: WARNING - Aperture 105: Dec 10 13:07: Total variance weighted spectrum flux is 9016.68 Dec 10 13:07: Total unweighted spectrum flux is 2304.115 Dec 10 13:07: EXTRACT: Aperture 105 variance spectrum bias factor is 0.2555392 Dec 10 13:07: EXTRACT: WARNING - Aperture 106: Dec 10 13:07: Total variance weighted spectrum flux is 9994.625 Dec 10 13:07: Total unweighted spectrum flux is 2382.195 Dec 10 13:07: EXTRACT: Aperture 106 variance spectrum bias factor is 0.2383476 Dec 10 13:07: EXTRACT: WARNING - Aperture 107: Dec 10 13:07: Total variance weighted spectrum flux is 4649.683 Dec 10 13:07: Total unweighted spectrum flux is -280.6805 Dec 10 13:07: Variance spectrum bias factor ignored Dec 10 13:07: EXTRACT: WARNING - Aperture 108: Dec 10 13:07: Total variance weighted spectrum flux is 4411.783 Dec 10 13:07: Total unweighted spectrum flux is 1098.287 Dec 10 13:07: EXTRACT: Aperture 108 variance spectrum bias factor is 0.2489441 Dec 10 13:07: EXTRACT: WARNING - Aperture 109: Dec 10 13:07: Total variance weighted spectrum flux is 6727.201 Dec 10 13:07: Total unweighted spectrum flux is 393.2682 Dec 10 13:07: EXTRACT: Aperture 109 variance spectrum bias factor is 0.05845942 Dec 10 13:07: EXTRACT: WARNING - Aperture 110: Dec 10 13:07: Total variance weighted spectrum flux is 5786.72 Dec 10 13:07: Total unweighted spectrum flux is 1122.171 Dec 10 13:07: EXTRACT: Aperture 110 variance spectrum bias factor is 0.1939218 Dec 10 13:07: EXTRACT: WARNING - Aperture 111: Dec 10 13:07: Total variance weighted spectrum flux is 3020.992 Dec 10 13:07: Total unweighted spectrum flux is 712.8639 Dec 10 13:07: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2359702 Dec 10 13:07: EXTRACT: WARNING - Aperture 112: Dec 10 13:07: Total variance weighted spectrum flux is 1892.743 Dec 10 13:07: Total unweighted spectrum flux is -61.5256 Dec 10 13:07: Variance spectrum bias factor ignored Dec 10 13:07: EXTRACT: WARNING - Aperture 113: Dec 10 13:07: Total variance weighted spectrum flux is 3029.41 Dec 10 13:07: Total unweighted spectrum flux is 415.3693 Dec 10 13:07: EXTRACT: Aperture 113 variance spectrum bias factor is 0.1371123 Dec 10 13:07: EXTRACT: WARNING - Aperture 114: Dec 10 13:07: Total variance weighted spectrum flux is 11700.74 Dec 10 13:07: Total unweighted spectrum flux is 899.7469 Dec 10 13:07: EXTRACT: Aperture 114 variance spectrum bias factor is 0.07689661 Dec 10 13:07: EXTRACT: WARNING - Aperture 115: Dec 10 13:07: Total variance weighted spectrum flux is 2005.529 Dec 10 13:07: Total unweighted spectrum flux is 416.2396 Dec 10 13:07: EXTRACT: Aperture 115 variance spectrum bias factor is 0.207546 Resampling the object by a factor of 4 in the y direction... 120826.0027 Magnify image 120826.0027 to image 120826.0027. 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 120826.0027,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120826.0027 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120826.0027 -> noscat120826.0027 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 13:09: EXTRACT: WARNING - Aperture 97: Dec 10 13:09: Total variance weighted spectrum flux is 5333.947 Dec 10 13:09: Total unweighted spectrum flux is 2282.067 Dec 10 13:09: EXTRACT: Aperture 97 variance spectrum bias factor is 0.4278384 Dec 10 13:09: EXTRACT: WARNING - Aperture 99: Dec 10 13:09: Total variance weighted spectrum flux is 7689.058 Dec 10 13:09: Total unweighted spectrum flux is 2950.032 Dec 10 13:09: EXTRACT: Aperture 99 variance spectrum bias factor is 0.3836662 Dec 10 13:09: EXTRACT: WARNING - Aperture 101: Dec 10 13:09: Total variance weighted spectrum flux is 11982.71 Dec 10 13:09: Total unweighted spectrum flux is 3715.428 Dec 10 13:09: EXTRACT: Aperture 101 variance spectrum bias factor is 0.3100658 Dec 10 13:09: EXTRACT: WARNING - Aperture 102: Dec 10 13:09: Total variance weighted spectrum flux is 8090.175 Dec 10 13:09: Total unweighted spectrum flux is 3884.316 Dec 10 13:09: EXTRACT: Aperture 102 variance spectrum bias factor is 0.4801276 Dec 10 13:09: EXTRACT: WARNING - Aperture 103: Dec 10 13:09: Total variance weighted spectrum flux is 9212.263 Dec 10 13:09: Total unweighted spectrum flux is 2884.492 Dec 10 13:09: EXTRACT: Aperture 103 variance spectrum bias factor is 0.3131144 Dec 10 13:09: EXTRACT: WARNING - Aperture 104: Dec 10 13:09: Total variance weighted spectrum flux is 10882.7 Dec 10 13:09: Total unweighted spectrum flux is 1306.81 Dec 10 13:09: EXTRACT: Aperture 104 variance spectrum bias factor is 0.1200814 Dec 10 13:09: EXTRACT: WARNING - Aperture 105: Dec 10 13:09: Total variance weighted spectrum flux is 6925.655 Dec 10 13:09: Total unweighted spectrum flux is 1777.349 Dec 10 13:09: EXTRACT: Aperture 105 variance spectrum bias factor is 0.2566326 Dec 10 13:09: EXTRACT: WARNING - Aperture 106: Dec 10 13:09: Total variance weighted spectrum flux is 5489.62 Dec 10 13:09: Total unweighted spectrum flux is 46.66615 Dec 10 13:09: EXTRACT: Aperture 106 variance spectrum bias factor is 0.008500799 Dec 10 13:09: EXTRACT: WARNING - Aperture 107: Dec 10 13:09: Total variance weighted spectrum flux is 12502.39 Dec 10 13:09: Total unweighted spectrum flux is 532.2801 Dec 10 13:09: EXTRACT: Aperture 107 variance spectrum bias factor is 0.04257426 Dec 10 13:09: EXTRACT: WARNING - Aperture 108: Dec 10 13:09: Total variance weighted spectrum flux is 6379.217 Dec 10 13:09: Total unweighted spectrum flux is 125.9263 Dec 10 13:09: EXTRACT: Aperture 108 variance spectrum bias factor is 0.01974009 Dec 10 13:09: EXTRACT: WARNING - Aperture 109: Dec 10 13:09: Total variance weighted spectrum flux is 7501.872 Dec 10 13:09: Total unweighted spectrum flux is 29.63885 Dec 10 13:09: EXTRACT: Aperture 109 variance spectrum bias factor is 0.003950861 Dec 10 13:09: EXTRACT: WARNING - Aperture 110: Dec 10 13:09: Total variance weighted spectrum flux is 7371.957 Dec 10 13:09: Total unweighted spectrum flux is 482.8544 Dec 10 13:09: EXTRACT: Aperture 110 variance spectrum bias factor is 0.06549881 Dec 10 13:09: EXTRACT: WARNING - Aperture 111: Dec 10 13:09: Total variance weighted spectrum flux is 5349.967 Dec 10 13:09: Total unweighted spectrum flux is 517.149 Dec 10 13:09: EXTRACT: Aperture 111 variance spectrum bias factor is 0.09666396 Dec 10 13:09: EXTRACT: WARNING - Aperture 112: Dec 10 13:09: Total variance weighted spectrum flux is 3125.158 Dec 10 13:09: Total unweighted spectrum flux is -5.408112 Dec 10 13:09: Variance spectrum bias factor ignored Dec 10 13:09: EXTRACT: WARNING - Aperture 113: Dec 10 13:09: Total variance weighted spectrum flux is 4180.965 Dec 10 13:09: Total unweighted spectrum flux is 1825.162 Dec 10 13:09: EXTRACT: Aperture 113 variance spectrum bias factor is 0.4365408 Dec 10 13:09: EXTRACT: WARNING - Aperture 114: Dec 10 13:09: Total variance weighted spectrum flux is 5140.252 Dec 10 13:09: Total unweighted spectrum flux is 342.2683 Dec 10 13:09: EXTRACT: Aperture 114 variance spectrum bias factor is 0.0665859 Dec 10 13:09: EXTRACT: WARNING - Aperture 115: Dec 10 13:09: Total variance weighted spectrum flux is -254.881 Dec 10 13:09: Total unweighted spectrum flux is -848.5734 Dec 10 13:09: EXTRACT: Aperture 115 variance spectrum bias factor is 3.329292 Resampling the object by a factor of 4 in the y direction... 120826.0028 Magnify image 120826.0028 to image 120826.0028. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120826.0028,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120826.0028 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120826.0028 -> noscat120826.0028 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 13:10: EXTRACT: WARNING - Aperture 1: Dec 10 13:10: Total variance weighted spectrum flux is 3964.345 Dec 10 13:10: Total unweighted spectrum flux is 1965.702 Dec 10 13:10: EXTRACT: Aperture 1 variance spectrum bias factor is 0.4958453 Dec 10 13:11: EXTRACT: WARNING - Aperture 95: Dec 10 13:11: Total variance weighted spectrum flux is 4272.45 Dec 10 13:11: Total unweighted spectrum flux is 649.3512 Dec 10 13:11: EXTRACT: Aperture 95 variance spectrum bias factor is 0.1519857 Dec 10 13:11: EXTRACT: WARNING - Aperture 96: Dec 10 13:11: Total variance weighted spectrum flux is 6608.296 Dec 10 13:11: Total unweighted spectrum flux is 2539.964 Dec 10 13:11: EXTRACT: Aperture 96 variance spectrum bias factor is 0.3843599 Dec 10 13:11: EXTRACT: WARNING - Aperture 97: Dec 10 13:11: Total variance weighted spectrum flux is 6099.305 Dec 10 13:11: Total unweighted spectrum flux is 1257.707 Dec 10 13:11: EXTRACT: Aperture 97 variance spectrum bias factor is 0.2062049 Dec 10 13:11: EXTRACT: WARNING - Aperture 98: Dec 10 13:11: Total variance weighted spectrum flux is 12086.53 Dec 10 13:11: Total unweighted spectrum flux is 4093.782 Dec 10 13:11: EXTRACT: Aperture 98 variance spectrum bias factor is 0.3387061 Dec 10 13:11: EXTRACT: WARNING - Aperture 99: Dec 10 13:11: Total variance weighted spectrum flux is 14558.28 Dec 10 13:11: Total unweighted spectrum flux is 3795.074 Dec 10 13:11: EXTRACT: Aperture 99 variance spectrum bias factor is 0.2606815 Dec 10 13:11: EXTRACT: WARNING - Aperture 100: Dec 10 13:11: Total variance weighted spectrum flux is 7907.232 Dec 10 13:11: Total unweighted spectrum flux is 779.497 Dec 10 13:11: EXTRACT: Aperture 100 variance spectrum bias factor is 0.09858026 Dec 10 13:11: EXTRACT: WARNING - Aperture 101: Dec 10 13:11: Total variance weighted spectrum flux is 4193.506 Dec 10 13:11: Total unweighted spectrum flux is 1020.044 Dec 10 13:11: EXTRACT: Aperture 101 variance spectrum bias factor is 0.2432438 Dec 10 13:11: EXTRACT: WARNING - Aperture 102: Dec 10 13:11: Total variance weighted spectrum flux is 5672.248 Dec 10 13:11: Total unweighted spectrum flux is -632.2595 Dec 10 13:11: Variance spectrum bias factor ignored Dec 10 13:11: EXTRACT: WARNING - Aperture 103: Dec 10 13:11: Total variance weighted spectrum flux is 6846.541 Dec 10 13:11: Total unweighted spectrum flux is 2278.103 Dec 10 13:11: EXTRACT: Aperture 103 variance spectrum bias factor is 0.3327378 Dec 10 13:11: EXTRACT: WARNING - Aperture 104: Dec 10 13:11: Total variance weighted spectrum flux is 8523.988 Dec 10 13:11: Total unweighted spectrum flux is 1215.028 Dec 10 13:11: EXTRACT: Aperture 104 variance spectrum bias factor is 0.1425422 Dec 10 13:11: EXTRACT: WARNING - Aperture 105: Dec 10 13:11: Total variance weighted spectrum flux is 6112.078 Dec 10 13:11: Total unweighted spectrum flux is 244.1456 Dec 10 13:11: EXTRACT: Aperture 105 variance spectrum bias factor is 0.03994477 Dec 10 13:11: EXTRACT: WARNING - Aperture 106: Dec 10 13:11: Total variance weighted spectrum flux is 5148.981 Dec 10 13:11: Total unweighted spectrum flux is 570.2776 Dec 10 13:11: EXTRACT: Aperture 106 variance spectrum bias factor is 0.1107554 Dec 10 13:11: EXTRACT: WARNING - Aperture 107: Dec 10 13:11: Total variance weighted spectrum flux is 6918.011 Dec 10 13:11: Total unweighted spectrum flux is -47.43848 Dec 10 13:11: Variance spectrum bias factor ignored Dec 10 13:11: EXTRACT: WARNING - Aperture 108: Dec 10 13:11: Total variance weighted spectrum flux is 9577.185 Dec 10 13:11: Total unweighted spectrum flux is -717.4996 Dec 10 13:11: Variance spectrum bias factor ignored Dec 10 13:11: EXTRACT: WARNING - Aperture 109: Dec 10 13:11: Total variance weighted spectrum flux is 4753.671 Dec 10 13:11: Total unweighted spectrum flux is 444.7339 Dec 10 13:11: EXTRACT: Aperture 109 variance spectrum bias factor is 0.09355587 Dec 10 13:11: EXTRACT: WARNING - Aperture 110: Dec 10 13:11: Total variance weighted spectrum flux is 5890.109 Dec 10 13:11: Total unweighted spectrum flux is 993.2855 Dec 10 13:11: EXTRACT: Aperture 110 variance spectrum bias factor is 0.1686362 Dec 10 13:11: EXTRACT: WARNING - Aperture 111: Dec 10 13:11: Total variance weighted spectrum flux is 1072.271 Dec 10 13:11: Total unweighted spectrum flux is -123.1222 Dec 10 13:11: Variance spectrum bias factor ignored Dec 10 13:11: EXTRACT: WARNING - Aperture 112: Dec 10 13:11: Total variance weighted spectrum flux is 6626.018 Dec 10 13:11: Total unweighted spectrum flux is 945.8674 Dec 10 13:11: EXTRACT: Aperture 112 variance spectrum bias factor is 0.1427505 Dec 10 13:11: EXTRACT: WARNING - Aperture 113: Dec 10 13:11: Total variance weighted spectrum flux is 3673.758 Dec 10 13:11: Total unweighted spectrum flux is 644.8939 Dec 10 13:11: EXTRACT: Aperture 113 variance spectrum bias factor is 0.1755407 Dec 10 13:11: EXTRACT: WARNING - Aperture 114: Dec 10 13:11: Total variance weighted spectrum flux is 6035.158 Dec 10 13:11: Total unweighted spectrum flux is -564.7253 Dec 10 13:11: Variance spectrum bias factor ignored Dec 10 13:11: EXTRACT: WARNING - Aperture 115: Dec 10 13:11: Total variance weighted spectrum flux is 135.6602 Dec 10 13:11: Total unweighted spectrum flux is -231.9897 Dec 10 13:11: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 120826.0029 Magnify image 120826.0029 to image 120826.0029. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120826.0029,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120826.0029 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120826.0029 -> noscat120826.0029 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 13:13: EXTRACT: WARNING - Aperture 93: Dec 10 13:13: Total variance weighted spectrum flux is 9676.26 Dec 10 13:13: Total unweighted spectrum flux is 3974.436 Dec 10 13:13: EXTRACT: Aperture 93 variance spectrum bias factor is 0.410741 Dec 10 13:13: EXTRACT: WARNING - Aperture 95: Dec 10 13:13: Total variance weighted spectrum flux is 8369.016 Dec 10 13:13: Total unweighted spectrum flux is 3880.083 Dec 10 13:13: EXTRACT: Aperture 95 variance spectrum bias factor is 0.4636248 Dec 10 13:13: EXTRACT: WARNING - Aperture 96: Dec 10 13:13: Total variance weighted spectrum flux is 5834.983 Dec 10 13:13: Total unweighted spectrum flux is -52.43424 Dec 10 13:13: Variance spectrum bias factor ignored Dec 10 13:13: EXTRACT: WARNING - Aperture 97: Dec 10 13:13: Total variance weighted spectrum flux is 9488.039 Dec 10 13:13: Total unweighted spectrum flux is -227.9403 Dec 10 13:13: Variance spectrum bias factor ignored Dec 10 13:13: EXTRACT: WARNING - Aperture 98: Dec 10 13:13: Total variance weighted spectrum flux is 6251.937 Dec 10 13:13: Total unweighted spectrum flux is 1357.82 Dec 10 13:13: EXTRACT: Aperture 98 variance spectrum bias factor is 0.2171839 Dec 10 13:13: EXTRACT: WARNING - Aperture 99: Dec 10 13:13: Total variance weighted spectrum flux is 8949.568 Dec 10 13:13: Total unweighted spectrum flux is 1954.376 Dec 10 13:13: EXTRACT: Aperture 99 variance spectrum bias factor is 0.2183766 Dec 10 13:13: EXTRACT: WARNING - Aperture 100: Dec 10 13:13: Total variance weighted spectrum flux is 5833.182 Dec 10 13:13: Total unweighted spectrum flux is 131.4936 Dec 10 13:13: EXTRACT: Aperture 100 variance spectrum bias factor is 0.02254235 Dec 10 13:13: EXTRACT: WARNING - Aperture 101: Dec 10 13:13: Total variance weighted spectrum flux is 5735.105 Dec 10 13:13: Total unweighted spectrum flux is 639.3443 Dec 10 13:13: EXTRACT: Aperture 101 variance spectrum bias factor is 0.1114791 Dec 10 13:13: EXTRACT: WARNING - Aperture 102: Dec 10 13:13: Total variance weighted spectrum flux is 7744.119 Dec 10 13:13: Total unweighted spectrum flux is 53.71081 Dec 10 13:13: EXTRACT: Aperture 102 variance spectrum bias factor is 0.00693569 Dec 10 13:13: EXTRACT: WARNING - Aperture 103: Dec 10 13:13: Total variance weighted spectrum flux is 5677.724 Dec 10 13:13: Total unweighted spectrum flux is 619.5588 Dec 10 13:13: EXTRACT: Aperture 103 variance spectrum bias factor is 0.109121 Dec 10 13:13: EXTRACT: WARNING - Aperture 104: Dec 10 13:13: Total variance weighted spectrum flux is 6184.153 Dec 10 13:13: Total unweighted spectrum flux is 528.8219 Dec 10 13:13: EXTRACT: Aperture 104 variance spectrum bias factor is 0.08551242 Dec 10 13:13: EXTRACT: WARNING - Aperture 105: Dec 10 13:13: Total variance weighted spectrum flux is 8155.621 Dec 10 13:13: Total unweighted spectrum flux is 84.35524 Dec 10 13:13: EXTRACT: Aperture 105 variance spectrum bias factor is 0.0103432 Dec 10 13:13: EXTRACT: WARNING - Aperture 106: Dec 10 13:13: Total variance weighted spectrum flux is 3970.445 Dec 10 13:13: Total unweighted spectrum flux is 416.2942 Dec 10 13:13: EXTRACT: Aperture 106 variance spectrum bias factor is 0.1048482 Dec 10 13:13: EXTRACT: WARNING - Aperture 107: Dec 10 13:13: Total variance weighted spectrum flux is 11376.45 Dec 10 13:13: Total unweighted spectrum flux is 1481.189 Dec 10 13:13: EXTRACT: Aperture 107 variance spectrum bias factor is 0.1301979 Dec 10 13:13: EXTRACT: WARNING - Aperture 108: Dec 10 13:13: Total variance weighted spectrum flux is 10033.05 Dec 10 13:13: Total unweighted spectrum flux is -507.0518 Dec 10 13:13: Variance spectrum bias factor ignored Dec 10 13:13: EXTRACT: WARNING - Aperture 109: Dec 10 13:13: Total variance weighted spectrum flux is 6308.463 Dec 10 13:13: Total unweighted spectrum flux is -11.83808 Dec 10 13:13: Variance spectrum bias factor ignored Dec 10 13:13: EXTRACT: WARNING - Aperture 110: Dec 10 13:13: Total variance weighted spectrum flux is 4865.297 Dec 10 13:13: Total unweighted spectrum flux is -394.6217 Dec 10 13:13: Variance spectrum bias factor ignored Dec 10 13:13: EXTRACT: WARNING - Aperture 111: Dec 10 13:13: Total variance weighted spectrum flux is 6155.048 Dec 10 13:13: Total unweighted spectrum flux is -1180.651 Dec 10 13:13: Variance spectrum bias factor ignored Dec 10 13:13: EXTRACT: WARNING - Aperture 112: Dec 10 13:13: Total variance weighted spectrum flux is 2286.873 Dec 10 13:13: Total unweighted spectrum flux is 60.58924 Dec 10 13:13: EXTRACT: Aperture 112 variance spectrum bias factor is 0.02649436 Dec 10 13:13: EXTRACT: WARNING - Aperture 113: Dec 10 13:13: Total variance weighted spectrum flux is 3538.999 Dec 10 13:13: Total unweighted spectrum flux is 390.5078 Dec 10 13:13: EXTRACT: Aperture 113 variance spectrum bias factor is 0.1103442 Dec 10 13:13: EXTRACT: WARNING - Aperture 114: Dec 10 13:13: Total variance weighted spectrum flux is 7115.646 Dec 10 13:13: Total unweighted spectrum flux is 826.5453 Dec 10 13:13: EXTRACT: Aperture 114 variance spectrum bias factor is 0.1161589 Dec 10 13:13: EXTRACT: WARNING - Aperture 115: Dec 10 13:13: Total variance weighted spectrum flux is 385.6762 Dec 10 13:13: Total unweighted spectrum flux is -1111.181 Dec 10 13:13: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 120826.0030 Magnify image 120826.0030 to image 120826.0030. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120826.0030,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120826.0030 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120826.0030 -> noscat120826.0030 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 13:14: EXTRACT: WARNING - Aperture 94: Dec 10 13:14: Total variance weighted spectrum flux is 10869.58 Dec 10 13:14: Total unweighted spectrum flux is 3639.893 Dec 10 13:14: EXTRACT: Aperture 94 variance spectrum bias factor is 0.3348698 Dec 10 13:14: EXTRACT: WARNING - Aperture 95: Dec 10 13:14: Total variance weighted spectrum flux is 7975.151 Dec 10 13:14: Total unweighted spectrum flux is 1320.275 Dec 10 13:14: EXTRACT: Aperture 95 variance spectrum bias factor is 0.1655485 Dec 10 13:14: EXTRACT: WARNING - Aperture 96: Dec 10 13:14: Total variance weighted spectrum flux is 5984.25 Dec 10 13:14: Total unweighted spectrum flux is 1173.552 Dec 10 13:14: EXTRACT: Aperture 96 variance spectrum bias factor is 0.1961068 Dec 10 13:14: EXTRACT: WARNING - Aperture 97: Dec 10 13:14: Total variance weighted spectrum flux is 10658.29 Dec 10 13:14: Total unweighted spectrum flux is 1252.414 Dec 10 13:14: EXTRACT: Aperture 97 variance spectrum bias factor is 0.1175061 Dec 10 13:14: EXTRACT: WARNING - Aperture 98: Dec 10 13:14: Total variance weighted spectrum flux is 8644.375 Dec 10 13:14: Total unweighted spectrum flux is 2466.273 Dec 10 13:14: EXTRACT: Aperture 98 variance spectrum bias factor is 0.2853038 Dec 10 13:14: EXTRACT: WARNING - Aperture 99: Dec 10 13:14: Total variance weighted spectrum flux is 10042.8 Dec 10 13:14: Total unweighted spectrum flux is 1524.072 Dec 10 13:14: EXTRACT: Aperture 99 variance spectrum bias factor is 0.1517577 Dec 10 13:14: EXTRACT: WARNING - Aperture 100: Dec 10 13:14: Total variance weighted spectrum flux is 5277.9 Dec 10 13:14: Total unweighted spectrum flux is 27.36384 Dec 10 13:14: EXTRACT: Aperture 100 variance spectrum bias factor is 0.005184607 Dec 10 13:14: EXTRACT: WARNING - Aperture 101: Dec 10 13:14: Total variance weighted spectrum flux is 7337.313 Dec 10 13:14: Total unweighted spectrum flux is -57.32029 Dec 10 13:14: Variance spectrum bias factor ignored Dec 10 13:14: EXTRACT: WARNING - Aperture 102: Dec 10 13:14: Total variance weighted spectrum flux is 5707.195 Dec 10 13:14: Total unweighted spectrum flux is 401.87 Dec 10 13:14: EXTRACT: Aperture 102 variance spectrum bias factor is 0.07041462 Dec 10 13:14: EXTRACT: WARNING - Aperture 103: Dec 10 13:14: Total variance weighted spectrum flux is 5587.27 Dec 10 13:14: Total unweighted spectrum flux is 1001.67 Dec 10 13:14: EXTRACT: Aperture 103 variance spectrum bias factor is 0.1792772 Dec 10 13:14: EXTRACT: WARNING - Aperture 104: Dec 10 13:14: Total variance weighted spectrum flux is 3485.35 Dec 10 13:14: Total unweighted spectrum flux is -201.3707 Dec 10 13:14: Variance spectrum bias factor ignored Dec 10 13:14: EXTRACT: WARNING - Aperture 105: Dec 10 13:14: Total variance weighted spectrum flux is 5724.885 Dec 10 13:14: Total unweighted spectrum flux is -551.3014 Dec 10 13:14: Variance spectrum bias factor ignored Dec 10 13:14: EXTRACT: WARNING - Aperture 106: Dec 10 13:14: Total variance weighted spectrum flux is 6746.07 Dec 10 13:14: Total unweighted spectrum flux is -753.1622 Dec 10 13:14: Variance spectrum bias factor ignored Dec 10 13:14: EXTRACT: WARNING - Aperture 107: Dec 10 13:14: Total variance weighted spectrum flux is 6289.89 Dec 10 13:14: Total unweighted spectrum flux is -539.9957 Dec 10 13:14: Variance spectrum bias factor ignored Dec 10 13:15: EXTRACT: WARNING - Aperture 108: Dec 10 13:15: Total variance weighted spectrum flux is 3307.227 Dec 10 13:15: Total unweighted spectrum flux is -1060.082 Dec 10 13:15: Variance spectrum bias factor ignored Dec 10 13:15: EXTRACT: WARNING - Aperture 109: Dec 10 13:15: Total variance weighted spectrum flux is 7678.046 Dec 10 13:15: Total unweighted spectrum flux is 1069.088 Dec 10 13:15: EXTRACT: Aperture 109 variance spectrum bias factor is 0.1392395 Dec 10 13:15: EXTRACT: WARNING - Aperture 110: Dec 10 13:15: Total variance weighted spectrum flux is 5752.763 Dec 10 13:15: Total unweighted spectrum flux is 375.3685 Dec 10 13:15: EXTRACT: Aperture 110 variance spectrum bias factor is 0.06525011 Dec 10 13:15: EXTRACT: WARNING - Aperture 111: Dec 10 13:15: Total variance weighted spectrum flux is 4119.469 Dec 10 13:15: Total unweighted spectrum flux is 174.8147 Dec 10 13:15: EXTRACT: Aperture 111 variance spectrum bias factor is 0.04243622 Dec 10 13:15: EXTRACT: WARNING - Aperture 112: Dec 10 13:15: Total variance weighted spectrum flux is 3314.123 Dec 10 13:15: Total unweighted spectrum flux is -920.7682 Dec 10 13:15: Variance spectrum bias factor ignored Dec 10 13:15: EXTRACT: WARNING - Aperture 113: Dec 10 13:15: Total variance weighted spectrum flux is 5025.176 Dec 10 13:15: Total unweighted spectrum flux is 1340.351 Dec 10 13:15: EXTRACT: Aperture 113 variance spectrum bias factor is 0.2667271 Dec 10 13:15: EXTRACT: WARNING - Aperture 114: Dec 10 13:15: Total variance weighted spectrum flux is 9577.25 Dec 10 13:15: Total unweighted spectrum flux is 765.054 Dec 10 13:15: EXTRACT: Aperture 114 variance spectrum bias factor is 0.07988243 Dec 10 13:15: EXTRACT: WARNING - Aperture 115: Dec 10 13:15: Total variance weighted spectrum flux is -8.826636 Dec 10 13:15: Total unweighted spectrum flux is -715.0605 Dec 10 13:15: EXTRACT: Aperture 115 variance spectrum bias factor is 81.01167 Resampling the object by a factor of 4 in the y direction... 120826.0031 Magnify image 120826.0031 to image 120826.0031. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120826.0031,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120826.0031 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120826.0031 -> noscat120826.0031 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 13:16: EXTRACT: WARNING - Aperture 96: Dec 10 13:16: Total variance weighted spectrum flux is 13782.63 Dec 10 13:16: Total unweighted spectrum flux is 6681.362 Dec 10 13:16: EXTRACT: Aperture 96 variance spectrum bias factor is 0.484767 Dec 10 13:16: EXTRACT: WARNING - Aperture 99: Dec 10 13:16: Total variance weighted spectrum flux is 6612.395 Dec 10 13:16: Total unweighted spectrum flux is 764.2855 Dec 10 13:16: EXTRACT: Aperture 99 variance spectrum bias factor is 0.1155838 Dec 10 13:16: EXTRACT: WARNING - Aperture 100: Dec 10 13:16: Total variance weighted spectrum flux is 4495.827 Dec 10 13:16: Total unweighted spectrum flux is 1501.914 Dec 10 13:16: EXTRACT: Aperture 100 variance spectrum bias factor is 0.3340685 Dec 10 13:16: EXTRACT: WARNING - Aperture 101: Dec 10 13:16: Total variance weighted spectrum flux is 7672.02 Dec 10 13:16: Total unweighted spectrum flux is 2111.914 Dec 10 13:16: EXTRACT: Aperture 101 variance spectrum bias factor is 0.2752748 Dec 10 13:16: EXTRACT: WARNING - Aperture 102: Dec 10 13:16: Total variance weighted spectrum flux is 4823.422 Dec 10 13:16: Total unweighted spectrum flux is 1386.131 Dec 10 13:16: EXTRACT: Aperture 102 variance spectrum bias factor is 0.2873751 Dec 10 13:16: EXTRACT: WARNING - Aperture 103: Dec 10 13:16: Total variance weighted spectrum flux is 13549.12 Dec 10 13:16: Total unweighted spectrum flux is 3312.124 Dec 10 13:16: EXTRACT: Aperture 103 variance spectrum bias factor is 0.2444531 Dec 10 13:16: EXTRACT: WARNING - Aperture 104: Dec 10 13:16: Total variance weighted spectrum flux is 4916.334 Dec 10 13:16: Total unweighted spectrum flux is 1825.962 Dec 10 13:16: EXTRACT: Aperture 104 variance spectrum bias factor is 0.3714073 Dec 10 13:16: EXTRACT: WARNING - Aperture 105: Dec 10 13:16: Total variance weighted spectrum flux is 6437.291 Dec 10 13:16: Total unweighted spectrum flux is 1054.759 Dec 10 13:16: EXTRACT: Aperture 105 variance spectrum bias factor is 0.1638514 Dec 10 13:16: EXTRACT: WARNING - Aperture 106: Dec 10 13:16: Total variance weighted spectrum flux is 5813.131 Dec 10 13:16: Total unweighted spectrum flux is 762.706 Dec 10 13:16: EXTRACT: Aperture 106 variance spectrum bias factor is 0.131204 Dec 10 13:16: EXTRACT: WARNING - Aperture 107: Dec 10 13:16: Total variance weighted spectrum flux is 5470.502 Dec 10 13:16: Total unweighted spectrum flux is 1271.898 Dec 10 13:16: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2325012 Dec 10 13:16: EXTRACT: WARNING - Aperture 108: Dec 10 13:16: Total variance weighted spectrum flux is 3849.852 Dec 10 13:16: Total unweighted spectrum flux is -401.5843 Dec 10 13:16: Variance spectrum bias factor ignored Dec 10 13:16: EXTRACT: WARNING - Aperture 109: Dec 10 13:16: Total variance weighted spectrum flux is 5534.195 Dec 10 13:16: Total unweighted spectrum flux is 517.3643 Dec 10 13:16: EXTRACT: Aperture 109 variance spectrum bias factor is 0.09348501 Dec 10 13:16: EXTRACT: WARNING - Aperture 110: Dec 10 13:16: Total variance weighted spectrum flux is 8953.462 Dec 10 13:16: Total unweighted spectrum flux is 692.3896 Dec 10 13:16: EXTRACT: Aperture 110 variance spectrum bias factor is 0.07733205 Dec 10 13:16: EXTRACT: WARNING - Aperture 111: Dec 10 13:16: Total variance weighted spectrum flux is 2401.209 Dec 10 13:16: Total unweighted spectrum flux is -22.3799 Dec 10 13:16: Variance spectrum bias factor ignored Dec 10 13:16: EXTRACT: WARNING - Aperture 112: Dec 10 13:16: Total variance weighted spectrum flux is 3626.767 Dec 10 13:16: Total unweighted spectrum flux is -308.433 Dec 10 13:16: Variance spectrum bias factor ignored Dec 10 13:16: EXTRACT: WARNING - Aperture 113: Dec 10 13:16: Total variance weighted spectrum flux is 1107.863 Dec 10 13:16: Total unweighted spectrum flux is -881.0621 Dec 10 13:16: Variance spectrum bias factor ignored Dec 10 13:16: EXTRACT: WARNING - Aperture 114: Dec 10 13:16: Total variance weighted spectrum flux is -224.7117 Dec 10 13:16: Total unweighted spectrum flux is -23.72515 Dec 10 13:16: EXTRACT: Aperture 114 variance spectrum bias factor is 0.1055804 Dec 10 13:16: EXTRACT: WARNING - Aperture 115: Dec 10 13:16: Total variance weighted spectrum flux is 126.7415 Dec 10 13:16: Total unweighted spectrum flux is -1137.473 Dec 10 13:16: Variance spectrum bias factor ignored add 120826.0006.ec.fits,REFSPEC1 = 120826.0006.ec.fits 120826.0006.ec.fits updated add 120826.0007.ec.fits,REFSPEC1 = 120826.0007.ec.fits 120826.0007.ec.fits updated add 120826.0008.ec.fits,REFSPEC1 = 120826.0008.ec.fits 120826.0008.ec.fits updated add 120826.0009.ec.fits,REFSPEC1 = 120826.0009.ec.fits 120826.0009.ec.fits updated Flatfielding extracted arcs and object spectra... parameter 120826.0006.ec.fits,UTMIDDLE already exists 120826.0006.ec.fits updated 120826.0006.ec.fits,UTMIDDLE: 07:53:41.186 -> 07:54:15.185997 120826.0006.ec.fits updated parameter 120826.0007.ec.fits,UTMIDDLE already exists 120826.0007.ec.fits updated 120826.0007.ec.fits,UTMIDDLE: 07:56:32.484 -> 07:57:06.483739 120826.0007.ec.fits updated parameter 120826.0008.ec.fits,UTMIDDLE already exists 120826.0008.ec.fits updated 120826.0008.ec.fits,UTMIDDLE: 07:59:35.027 -> 08:00:09.026827 120826.0008.ec.fits updated parameter 120826.0009.ec.fits,UTMIDDLE already exists 120826.0009.ec.fits updated 120826.0009.ec.fits,UTMIDDLE: 08:02:37.406 -> 08:03:11.405720 120826.0009.ec.fits updated parameter 120826.0001.ec.fits,UTMIDDLE already exists 120826.0001.ec.fits updated 120826.0001.ec.fits,UTMIDDLE: 06:15:11.322 -> 06:15:45.322044 120826.0001.ec.fits updated parameter 120826.0002.ec.fits,UTMIDDLE already exists 120826.0002.ec.fits updated 120826.0002.ec.fits,UTMIDDLE: 06:30:32.366 -> 06:31:06.366154 120826.0002.ec.fits updated parameter 120826.0003.ec.fits,UTMIDDLE already exists 120826.0003.ec.fits updated 120826.0003.ec.fits,UTMIDDLE: 06:47:44.738 -> 06:48:18.738778 120826.0003.ec.fits updated parameter 120826.0005.ec.fits,UTMIDDLE already exists 120826.0005.ec.fits updated 120826.0005.ec.fits,UTMIDDLE: 07:07:05.941 -> 07:07:39.940956 120826.0005.ec.fits updated parameter 120826.0026.ec.fits,UTMIDDLE already exists 120826.0026.ec.fits updated 120826.0026.ec.fits,UTMIDDLE: 09:16:32.299 -> 09:17:06.299024 120826.0026.ec.fits updated parameter 120826.0027.ec.fits,UTMIDDLE already exists 120826.0027.ec.fits updated 120826.0027.ec.fits,UTMIDDLE: 09:40:10.928 -> 09:40:44.927926 120826.0027.ec.fits updated parameter 120826.0028.ec.fits,UTMIDDLE already exists 120826.0028.ec.fits updated 120826.0028.ec.fits,UTMIDDLE: 09:57:49.728 -> 09:58:23.727887 120826.0028.ec.fits updated parameter 120826.0029.ec.fits,UTMIDDLE already exists 120826.0029.ec.fits updated 120826.0029.ec.fits,UTMIDDLE: 10:14:20.175 -> 10:14:54.174850 120826.0029.ec.fits updated parameter 120826.0030.ec.fits,UTMIDDLE already exists 120826.0030.ec.fits updated 120826.0030.ec.fits,UTMIDDLE: 10:26:54.805 -> 10:27:28.805335 120826.0030.ec.fits updated parameter 120826.0031.ec.fits,UTMIDDLE already exists 120826.0031.ec.fits updated 120826.0031.ec.fits,UTMIDDLE: 10:39:29.141 -> 10:40:03.140784 120826.0031.ec.fits updated Setting Julian Date Keywords # Image jd hjd ljd # SETJD: Observatory parameters for Apache Point Observatory # timezone = 7 120826.0001.ec.fits 2456165.76094 2456165.76339 2456165 120826.0002.ec.fits 2456165.77160 2456165.77383 2456165 120826.0003.ec.fits 2456165.78355 2456165.78612 2456165 120826.0005.ec.fits 2456165.79699 2456165.79936 2456165 120826.0026.ec.fits 2456165.88688 2456165.88925 2456165 120826.0027.ec.fits 2456165.90330 2456165.90603 2456165 120826.0028.ec.fits 2456165.91555 2456165.91800 2456165 120826.0029.ec.fits 2456165.92702 2456165.92946 2456165 120826.0030.ec.fits 2456165.93575 2456165.93798 2456165 120826.0031.ec.fits 2456165.94448 2456165.94705 2456165 ECREIDENTIFY: NOAO/IRAF V2.16.1 jeanm12@tequila.nmsu.edu Tue 13:16:49 10-Dec-2013 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS 120826.0006.ec 1115/2055 1115/1115 1.28 -9.33 -1.6E-5 0.0132 120826.0007.ec 2042/2055 2042/2042 1.27 -9.26 -1.6E-5 0.00738 120826.0008.ec 2043/2055 2043/2043 1.26 -9.24 -1.6E-5 0.00695 120826.0009.ec 2050/2055 2050/2050 1.26 -9.2 -1.6E-5 0.00688 [120826.0001.ec] refspec1='120826.0006.ec' [120826.0002.ec] refspec1='120826.0006.ec' [120826.0003.ec] refspec1='120826.0006.ec' [120826.0005.ec] refspec1='120826.0006.ec' [120826.0026.ec] refspec1='120826.0009.ec' [120826.0027.ec] refspec1='120826.0009.ec' [120826.0028.ec] refspec1='120826.0009.ec' [120826.0029.ec] refspec1='120826.0009.ec' [120826.0030.ec] refspec1='120826.0009.ec' [120826.0031.ec] refspec1='120826.0009.ec' [120826.0006.ec] refspec1='120826.0006.ec' [120826.0007.ec] refspec1='120826.0007.ec' [120826.0008.ec] refspec1='120826.0008.ec' [120826.0009.ec] refspec1='120826.0009.ec' 120826.0001.ec.fits: REFSPEC1 = '120826.0006.ec 1.' 120826.0001.ec.fits: ap = 1, w1 = 10811.96, w2 = 10583.69, dw = -0.13835, nw = 1651 120826.0001.ec.fits: ap = 2, w1 = 10611.75, w2 = 10387.72, dw = -0.13578, nw = 1651 120826.0001.ec.fits: ap = 3, w1 = 10418.82, w2 = 10198.88, dw = -0.1333, nw = 1651 120826.0001.ec.fits: ap = 4, w1 = 10232.79, w2 = 10016.78, dw = -0.13091, nw = 1651 120826.0001.ec.fits: ap = 5, w1 = 10053.28, w2 = 9841.069, dw = -0.12861, nw = 1651 120826.0001.ec.fits: ap = 6, w1 = 9879.958, w2 = 9671.417, dw = -0.12639, nw = 1651 120826.0001.ec.fits: ap = 7, w1 = 9712.513, w2 = 9507.516, dw = -0.12424, nw = 1651 120826.0001.ec.fits: ap = 8, w1 = 9550.65, w2 = 9349.077, dw = -0.12217, nw = 1651 120826.0001.ec.fits: ap = 9, w1 = 9394.094, w2 = 9195.832, dw = -0.12016, nw = 1651 120826.0001.ec.fits: ap = 10, w1 = 9242.589, w2 = 9047.53, dw = -0.11822, nw = 1651 120826.0001.ec.fits: ap = 11, w1 = 9095.892, w2 = 8903.936, dw = -0.11634, nw = 1651 120826.0001.ec.fits: ap = 12, w1 = 8953.78, w2 = 8764.829, dw = -0.11452, nw = 1651 120826.0001.ec.fits: ap = 13, w1 = 8816.041, w2 = 8630.002, dw = -0.11275, nw = 1651 120826.0001.ec.fits: ap = 14, w1 = 8682.476, w2 = 8499.26, dw = -0.11104, nw = 1651 120826.0001.ec.fits: ap = 15, w1 = 8552.897, w2 = 8372.42, dw = -0.10938, nw = 1651 120826.0001.ec.fits: ap = 16, w1 = 8427.13, w2 = 8249.31, dw = -0.10777, nw = 1651 120826.0001.ec.fits: ap = 17, w1 = 8305.008, w2 = 8129.769, dw = -0.10621, nw = 1651 120826.0001.ec.fits: ap = 18, w1 = 8186.375, w2 = 8013.643, dw = -0.10469, nw = 1651 120826.0001.ec.fits: ap = 19, w1 = 8071.084, w2 = 7900.788, dw = -0.10321, nw = 1651 120826.0001.ec.fits: ap = 20, w1 = 7958.996, w2 = 7791.068, dw = -0.10177, nw = 1651 120826.0001.ec.fits: ap = 21, w1 = 7849.978, w2 = 7684.353, dw = -0.10038, nw = 1651 120826.0001.ec.fits: ap = 22, w1 = 7743.907, w2 = 7580.522, dw = -0.09902, nw = 1651 120826.0001.ec.fits: ap = 23, w1 = 7640.664, w2 = 7479.46, dw = -0.0977, nw = 1651 120826.0001.ec.fits: ap = 24, w1 = 7540.138, w2 = 7381.058, dw = -0.09641, nw = 1651 120826.0001.ec.fits: ap = 25, w1 = 7442.223, w2 = 7285.211, dw = -0.09516, nw = 1651 120826.0001.ec.fits: ap = 26, w1 = 7346.819, w2 = 7191.822, dw = -0.09394, nw = 1651 120826.0001.ec.fits: ap = 27, w1 = 7253.83, w2 = 7100.797, dw = -0.09275, nw = 1651 120826.0001.ec.fits: ap = 28, w1 = 7163.166, w2 = 7012.047, dw = -0.09159, nw = 1651 120826.0001.ec.fits: ap = 29, w1 = 7074.741, w2 = 6925.489, dw = -0.09046, nw = 1651 120826.0001.ec.fits: ap = 30, w1 = 6988.472, w2 = 6841.042, dw = -0.08935, nw = 1651 120826.0001.ec.fits: ap = 31, w1 = 6904.282, w2 = 6758.63, dw = -0.08827, nw = 1651 120826.0001.ec.fits: ap = 32, w1 = 6822.096, w2 = 6678.18, dw = -0.08722, nw = 1651 120826.0001.ec.fits: ap = 33, w1 = 6741.845, w2 = 6599.623, dw = -0.08619, nw = 1651 120826.0001.ec.fits: ap = 34, w1 = 6663.459, w2 = 6522.893, dw = -0.08519, nw = 1651 120826.0001.ec.fits: ap = 35, w1 = 6586.876, w2 = 6447.927, dw = -0.08421, nw = 1651 120826.0001.ec.fits: ap = 36, w1 = 6512.033, w2 = 6374.665, dw = -0.08325, nw = 1651 120826.0001.ec.fits: ap = 37, w1 = 6438.872, w2 = 6303.049, dw = -0.08232, nw = 1651 120826.0001.ec.fits: ap = 38, w1 = 6367.337, w2 = 6233.024, dw = -0.0814, nw = 1651 120826.0001.ec.fits: ap = 39, w1 = 6297.374, w2 = 6164.539, dw = -0.08051, nw = 1651 120826.0001.ec.fits: ap = 40, w1 = 6228.932, w2 = 6097.543, dw = -0.07963, nw = 1651 120826.0001.ec.fits: ap = 41, w1 = 6161.962, w2 = 6031.987, dw = -0.07877, nw = 1651 120826.0001.ec.fits: ap = 42, w1 = 6096.416, w2 = 5967.826, dw = -0.07793, nw = 1651 120826.0001.ec.fits: ap = 43, w1 = 6032.251, w2 = 5905.016, dw = -0.07711, nw = 1651 120826.0001.ec.fits: ap = 44, w1 = 5969.423, w2 = 5843.515, dw = -0.07631, nw = 1651 120826.0001.ec.fits: ap = 45, w1 = 5907.89, w2 = 5783.282, dw = -0.07552, nw = 1651 120826.0001.ec.fits: ap = 46, w1 = 5847.613, w2 = 5724.279, dw = -0.07475, nw = 1651 120826.0001.ec.fits: ap = 47, w1 = 5788.554, w2 = 5666.467, dw = -0.07399, nw = 1651 120826.0001.ec.fits: ap = 48, w1 = 5730.676, w2 = 5609.812, dw = -0.07325, nw = 1651 120826.0001.ec.fits: ap = 49, w1 = 5673.944, w2 = 5554.278, dw = -0.07252, nw = 1651 120826.0001.ec.fits: ap = 50, w1 = 5618.324, w2 = 5499.834, dw = -0.07181, nw = 1651 120826.0001.ec.fits: ap = 51, w1 = 5563.785, w2 = 5446.447, dw = -0.07111, nw = 1651 120826.0001.ec.fits: ap = 52, w1 = 5510.294, w2 = 5394.087, dw = -0.07043, nw = 1651 120826.0001.ec.fits: ap = 53, w1 = 5457.823, w2 = 5342.725, dw = -0.06976, nw = 1651 120826.0001.ec.fits: ap = 54, w1 = 5406.342, w2 = 5292.331, dw = -0.0691, nw = 1651 120826.0001.ec.fits: ap = 55, w1 = 5355.823, w2 = 5242.88, dw = -0.06845, nw = 1651 120826.0001.ec.fits: ap = 56, w1 = 5306.239, w2 = 5194.344, dw = -0.06782, nw = 1651 120826.0001.ec.fits: ap = 57, w1 = 5257.566, w2 = 5146.7, dw = -0.06719, nw = 1651 120826.0001.ec.fits: ap = 58, w1 = 5209.777, w2 = 5099.921, dw = -0.06658, nw = 1651 120826.0001.ec.fits: ap = 59, w1 = 5162.85, w2 = 5053.986, dw = -0.06598, nw = 1651 120826.0001.ec.fits: ap = 60, w1 = 5116.761, w2 = 5008.871, dw = -0.06539, nw = 1651 120826.0001.ec.fits: ap = 61, w1 = 5071.488, w2 = 4964.555, dw = -0.06481, nw = 1651 120826.0001.ec.fits: ap = 62, w1 = 5027.009, w2 = 4921.016, dw = -0.06424, nw = 1651 120826.0001.ec.fits: ap = 63, w1 = 4983.304, w2 = 4878.235, dw = -0.06368, nw = 1651 120826.0001.ec.fits: ap = 64, w1 = 4940.352, w2 = 4836.191, dw = -0.06313, nw = 1651 120826.0001.ec.fits: ap = 65, w1 = 4898.135, w2 = 4794.866, dw = -0.06259, nw = 1651 120826.0001.ec.fits: ap = 66, w1 = 4856.634, w2 = 4754.242, dw = -0.06206, nw = 1651 120826.0001.ec.fits: ap = 67, w1 = 4815.83, w2 = 4714.301, dw = -0.06153, nw = 1651 120826.0001.ec.fits: ap = 68, w1 = 4775.706, w2 = 4675.026, dw = -0.06102, nw = 1651 120826.0001.ec.fits: ap = 69, w1 = 4736.246, w2 = 4636.399, dw = -0.06051, nw = 1651 120826.0001.ec.fits: ap = 70, w1 = 4697.433, w2 = 4598.407, dw = -0.06002, nw = 1651 120826.0001.ec.fits: ap = 71, w1 = 4659.251, w2 = 4561.032, dw = -0.05953, nw = 1651 120826.0001.ec.fits: ap = 72, w1 = 4621.685, w2 = 4524.26, dw = -0.05905, nw = 1651 120826.0001.ec.fits: ap = 73, w1 = 4584.72, w2 = 4488.076, dw = -0.05857, nw = 1651 120826.0001.ec.fits: ap = 74, w1 = 4548.343, w2 = 4452.467, dw = -0.05811, nw = 1651 120826.0001.ec.fits: ap = 75, w1 = 4512.538, w2 = 4417.419, dw = -0.05765, nw = 1651 120826.0001.ec.fits: ap = 76, w1 = 4477.293, w2 = 4382.919, dw = -0.0572, nw = 1651 120826.0001.ec.fits: ap = 77, w1 = 4442.595, w2 = 4348.953, dw = -0.05675, nw = 1651 120826.0001.ec.fits: ap = 78, w1 = 4408.43, w2 = 4315.51, dw = -0.05632, nw = 1651 120826.0001.ec.fits: ap = 79, w1 = 4374.788, w2 = 4282.578, dw = -0.05588, nw = 1651 120826.0001.ec.fits: ap = 80, w1 = 4341.655, w2 = 4250.145, dw = -0.05546, nw = 1651 120826.0001.ec.fits: ap = 81, w1 = 4309.021, w2 = 4218.2, dw = -0.05504, nw = 1651 120826.0001.ec.fits: ap = 82, w1 = 4276.874, w2 = 4186.732, dw = -0.05463, nw = 1651 120826.0001.ec.fits: ap = 83, w1 = 4245.204, w2 = 4155.73, dw = -0.05423, nw = 1651 120826.0001.ec.fits: ap = 84, w1 = 4214., w2 = 4125.184, dw = -0.05383, nw = 1651 120826.0001.ec.fits: ap = 85, w1 = 4183.251, w2 = 4095.084, dw = -0.05343, nw = 1651 120826.0001.ec.fits: ap = 86, w1 = 4152.948, w2 = 4065.42, dw = -0.05305, nw = 1651 120826.0001.ec.fits: ap = 87, w1 = 4123.082, w2 = 4036.183, dw = -0.05267, nw = 1651 120826.0001.ec.fits: ap = 88, w1 = 4093.642, w2 = 4007.364, dw = -0.05229, nw = 1651 120826.0001.ec.fits: ap = 89, w1 = 4064.621, w2 = 3978.953, dw = -0.05192, nw = 1651 120826.0001.ec.fits: ap = 90, w1 = 4036.008, w2 = 3950.943, dw = -0.05155, nw = 1651 120826.0001.ec.fits: ap = 91, w1 = 4007.796, w2 = 3923.325, dw = -0.05119, nw = 1651 120826.0001.ec.fits: ap = 92, w1 = 3979.976, w2 = 3896.09, dw = -0.05084, nw = 1651 120826.0001.ec.fits: ap = 93, w1 = 3952.54, w2 = 3869.231, dw = -0.05049, nw = 1651 120826.0001.ec.fits: ap = 94, w1 = 3925.48, w2 = 3842.74, dw = -0.05015, nw = 1651 120826.0001.ec.fits: ap = 95, w1 = 3898.789, w2 = 3816.61, dw = -0.04981, nw = 1651 120826.0001.ec.fits: ap = 96, w1 = 3872.458, w2 = 3790.832, dw = -0.04947, nw = 1651 120826.0001.ec.fits: ap = 97, w1 = 3846.481, w2 = 3765.401, dw = -0.04914, nw = 1651 120826.0001.ec.fits: ap = 98, w1 = 3820.851, w2 = 3740.308, dw = -0.04881, nw = 1651 120826.0001.ec.fits: ap = 99, w1 = 3795.561, w2 = 3715.548, dw = -0.04849, nw = 1651 120826.0001.ec.fits: ap = 100, w1 = 3770.604, w2 = 3691.114, dw = -0.04818, nw = 1651 120826.0001.ec.fits: ap = 101, w1 = 3745.973, w2 = 3666.999, dw = -0.04786, nw = 1651 120826.0001.ec.fits: ap = 102, w1 = 3721.663, w2 = 3643.197, dw = -0.04756, nw = 1651 120826.0001.ec.fits: ap = 103, w1 = 3697.667, w2 = 3619.702, dw = -0.04725, nw = 1651 120826.0001.ec.fits: ap = 104, w1 = 3673.978, w2 = 3596.509, dw = -0.04695, nw = 1651 120826.0001.ec.fits: ap = 105, w1 = 3650.592, w2 = 3573.611, dw = -0.04666, nw = 1651 120826.0001.ec.fits: ap = 106, w1 = 3627.502, w2 = 3551.002, dw = -0.04636, nw = 1651 120826.0001.ec.fits: ap = 107, w1 = 3604.703, w2 = 3528.678, dw = -0.04608, nw = 1651 120826.0001.ec.fits: ap = 108, w1 = 3582.189, w2 = 3506.633, dw = -0.04579, nw = 1651 120826.0001.ec.fits: ap = 109, w1 = 3559.956, w2 = 3484.862, dw = -0.04551, nw = 1651 120826.0001.ec.fits: ap = 110, w1 = 3537.997, w2 = 3463.359, dw = -0.04523, nw = 1651 120826.0001.ec.fits: ap = 111, w1 = 3516.308, w2 = 3442.121, dw = -0.04496, nw = 1651 120826.0001.ec.fits: ap = 112, w1 = 3494.884, w2 = 3421.141, dw = -0.04469, nw = 1651 120826.0001.ec.fits: ap = 113, w1 = 3473.72, w2 = 3400.415, dw = -0.04443, nw = 1651 120826.0001.ec.fits: ap = 114, w1 = 3452.812, w2 = 3379.939, dw = -0.04417, nw = 1651 120826.0001.ec.fits: ap = 115, w1 = 3432.154, w2 = 3359.708, dw = -0.04391, nw = 1651 120826.0002.ec.fits: REFSPEC1 = '120826.0006.ec 1.' 120826.0002.ec.fits: ap = 1, w1 = 10811.96, w2 = 10583.69, dw = -0.13835, nw = 1651 120826.0002.ec.fits: ap = 2, w1 = 10611.75, w2 = 10387.72, dw = -0.13578, nw = 1651 120826.0002.ec.fits: ap = 3, w1 = 10418.82, w2 = 10198.88, dw = -0.1333, nw = 1651 120826.0002.ec.fits: ap = 4, w1 = 10232.79, w2 = 10016.78, dw = -0.13091, nw = 1651 120826.0002.ec.fits: ap = 5, w1 = 10053.28, w2 = 9841.069, dw = -0.12861, nw = 1651 120826.0002.ec.fits: ap = 6, w1 = 9879.958, w2 = 9671.417, dw = -0.12639, nw = 1651 120826.0002.ec.fits: ap = 7, w1 = 9712.513, w2 = 9507.516, dw = -0.12424, nw = 1651 120826.0002.ec.fits: ap = 8, w1 = 9550.65, w2 = 9349.077, dw = -0.12217, nw = 1651 120826.0002.ec.fits: ap = 9, w1 = 9394.094, w2 = 9195.832, dw = -0.12016, nw = 1651 120826.0002.ec.fits: ap = 10, w1 = 9242.589, w2 = 9047.53, dw = -0.11822, nw = 1651 120826.0002.ec.fits: ap = 11, w1 = 9095.892, w2 = 8903.936, dw = -0.11634, nw = 1651 120826.0002.ec.fits: ap = 12, w1 = 8953.78, w2 = 8764.829, dw = -0.11452, nw = 1651 120826.0002.ec.fits: ap = 13, w1 = 8816.041, w2 = 8630.002, dw = -0.11275, nw = 1651 120826.0002.ec.fits: ap = 14, w1 = 8682.476, w2 = 8499.26, dw = -0.11104, nw = 1651 120826.0002.ec.fits: ap = 15, w1 = 8552.897, w2 = 8372.42, dw = -0.10938, nw = 1651 120826.0002.ec.fits: ap = 16, w1 = 8427.13, w2 = 8249.31, dw = -0.10777, nw = 1651 120826.0002.ec.fits: ap = 17, w1 = 8305.008, w2 = 8129.769, dw = -0.10621, nw = 1651 120826.0002.ec.fits: ap = 18, w1 = 8186.375, w2 = 8013.643, dw = -0.10469, nw = 1651 120826.0002.ec.fits: ap = 19, w1 = 8071.084, w2 = 7900.788, dw = -0.10321, nw = 1651 120826.0002.ec.fits: ap = 20, w1 = 7958.996, w2 = 7791.068, dw = -0.10177, nw = 1651 120826.0002.ec.fits: ap = 21, w1 = 7849.978, w2 = 7684.353, dw = -0.10038, nw = 1651 120826.0002.ec.fits: ap = 22, w1 = 7743.907, w2 = 7580.522, dw = -0.09902, nw = 1651 120826.0002.ec.fits: ap = 23, w1 = 7640.664, w2 = 7479.46, dw = -0.0977, nw = 1651 120826.0002.ec.fits: ap = 24, w1 = 7540.138, w2 = 7381.058, dw = -0.09641, nw = 1651 120826.0002.ec.fits: ap = 25, w1 = 7442.223, w2 = 7285.211, dw = -0.09516, nw = 1651 120826.0002.ec.fits: ap = 26, w1 = 7346.819, w2 = 7191.822, dw = -0.09394, nw = 1651 120826.0002.ec.fits: ap = 27, w1 = 7253.83, w2 = 7100.797, dw = -0.09275, nw = 1651 120826.0002.ec.fits: ap = 28, w1 = 7163.166, w2 = 7012.047, dw = -0.09159, nw = 1651 120826.0002.ec.fits: ap = 29, w1 = 7074.741, w2 = 6925.489, dw = -0.09046, nw = 1651 120826.0002.ec.fits: ap = 30, w1 = 6988.472, w2 = 6841.042, dw = -0.08935, nw = 1651 120826.0002.ec.fits: ap = 31, w1 = 6904.282, w2 = 6758.63, dw = -0.08827, nw = 1651 120826.0002.ec.fits: ap = 32, w1 = 6822.096, w2 = 6678.18, dw = -0.08722, nw = 1651 120826.0002.ec.fits: ap = 33, w1 = 6741.845, w2 = 6599.623, dw = -0.08619, nw = 1651 120826.0002.ec.fits: ap = 34, w1 = 6663.459, w2 = 6522.893, dw = -0.08519, nw = 1651 120826.0002.ec.fits: ap = 35, w1 = 6586.876, w2 = 6447.927, dw = -0.08421, nw = 1651 120826.0002.ec.fits: ap = 36, w1 = 6512.033, w2 = 6374.665, dw = -0.08325, nw = 1651 120826.0002.ec.fits: ap = 37, w1 = 6438.872, w2 = 6303.049, dw = -0.08232, nw = 1651 120826.0002.ec.fits: ap = 38, w1 = 6367.337, w2 = 6233.024, dw = -0.0814, nw = 1651 120826.0002.ec.fits: ap = 39, w1 = 6297.374, w2 = 6164.539, dw = -0.08051, nw = 1651 120826.0002.ec.fits: ap = 40, w1 = 6228.932, w2 = 6097.543, dw = -0.07963, nw = 1651 120826.0002.ec.fits: ap = 41, w1 = 6161.962, w2 = 6031.987, dw = -0.07877, nw = 1651 120826.0002.ec.fits: ap = 42, w1 = 6096.416, w2 = 5967.826, dw = -0.07793, nw = 1651 120826.0002.ec.fits: ap = 43, w1 = 6032.251, w2 = 5905.016, dw = -0.07711, nw = 1651 120826.0002.ec.fits: ap = 44, w1 = 5969.423, w2 = 5843.515, dw = -0.07631, nw = 1651 120826.0002.ec.fits: ap = 45, w1 = 5907.89, w2 = 5783.282, dw = -0.07552, nw = 1651 120826.0002.ec.fits: ap = 46, w1 = 5847.613, w2 = 5724.279, dw = -0.07475, nw = 1651 120826.0002.ec.fits: ap = 47, w1 = 5788.554, w2 = 5666.467, dw = -0.07399, nw = 1651 120826.0002.ec.fits: ap = 48, w1 = 5730.676, w2 = 5609.812, dw = -0.07325, nw = 1651 120826.0002.ec.fits: ap = 49, w1 = 5673.944, w2 = 5554.278, dw = -0.07252, nw = 1651 120826.0002.ec.fits: ap = 50, w1 = 5618.324, w2 = 5499.834, dw = -0.07181, nw = 1651 120826.0002.ec.fits: ap = 51, w1 = 5563.785, w2 = 5446.447, dw = -0.07111, nw = 1651 120826.0002.ec.fits: ap = 52, w1 = 5510.294, w2 = 5394.087, dw = -0.07043, nw = 1651 120826.0002.ec.fits: ap = 53, w1 = 5457.823, w2 = 5342.725, dw = -0.06976, nw = 1651 120826.0002.ec.fits: ap = 54, w1 = 5406.342, w2 = 5292.331, dw = -0.0691, nw = 1651 120826.0002.ec.fits: ap = 55, w1 = 5355.823, w2 = 5242.88, dw = -0.06845, nw = 1651 120826.0002.ec.fits: ap = 56, w1 = 5306.239, w2 = 5194.344, dw = -0.06782, nw = 1651 120826.0002.ec.fits: ap = 57, w1 = 5257.566, w2 = 5146.7, dw = -0.06719, nw = 1651 120826.0002.ec.fits: ap = 58, w1 = 5209.777, w2 = 5099.921, dw = -0.06658, nw = 1651 120826.0002.ec.fits: ap = 59, w1 = 5162.85, w2 = 5053.986, dw = -0.06598, nw = 1651 120826.0002.ec.fits: ap = 60, w1 = 5116.761, w2 = 5008.871, dw = -0.06539, nw = 1651 120826.0002.ec.fits: ap = 61, w1 = 5071.488, w2 = 4964.555, dw = -0.06481, nw = 1651 120826.0002.ec.fits: ap = 62, w1 = 5027.009, w2 = 4921.016, dw = -0.06424, nw = 1651 120826.0002.ec.fits: ap = 63, w1 = 4983.304, w2 = 4878.235, dw = -0.06368, nw = 1651 120826.0002.ec.fits: ap = 64, w1 = 4940.352, w2 = 4836.191, dw = -0.06313, nw = 1651 120826.0002.ec.fits: ap = 65, w1 = 4898.135, w2 = 4794.866, dw = -0.06259, nw = 1651 120826.0002.ec.fits: ap = 66, w1 = 4856.634, w2 = 4754.242, dw = -0.06206, nw = 1651 120826.0002.ec.fits: ap = 67, w1 = 4815.83, w2 = 4714.301, dw = -0.06153, nw = 1651 120826.0002.ec.fits: ap = 68, w1 = 4775.706, w2 = 4675.026, dw = -0.06102, nw = 1651 120826.0002.ec.fits: ap = 69, w1 = 4736.246, w2 = 4636.399, dw = -0.06051, nw = 1651 120826.0002.ec.fits: ap = 70, w1 = 4697.433, w2 = 4598.407, dw = -0.06002, nw = 1651 120826.0002.ec.fits: ap = 71, w1 = 4659.251, w2 = 4561.032, dw = -0.05953, nw = 1651 120826.0002.ec.fits: ap = 72, w1 = 4621.685, w2 = 4524.26, dw = -0.05905, nw = 1651 120826.0002.ec.fits: ap = 73, w1 = 4584.72, w2 = 4488.076, dw = -0.05857, nw = 1651 120826.0002.ec.fits: ap = 74, w1 = 4548.343, w2 = 4452.467, dw = -0.05811, nw = 1651 120826.0002.ec.fits: ap = 75, w1 = 4512.538, w2 = 4417.419, dw = -0.05765, nw = 1651 120826.0002.ec.fits: ap = 76, w1 = 4477.293, w2 = 4382.919, dw = -0.0572, nw = 1651 120826.0002.ec.fits: ap = 77, w1 = 4442.595, w2 = 4348.953, dw = -0.05675, nw = 1651 120826.0002.ec.fits: ap = 78, w1 = 4408.43, w2 = 4315.51, dw = -0.05632, nw = 1651 120826.0002.ec.fits: ap = 79, w1 = 4374.788, w2 = 4282.578, dw = -0.05588, nw = 1651 120826.0002.ec.fits: ap = 80, w1 = 4341.655, w2 = 4250.145, dw = -0.05546, nw = 1651 120826.0002.ec.fits: ap = 81, w1 = 4309.021, w2 = 4218.2, dw = -0.05504, nw = 1651 120826.0002.ec.fits: ap = 82, w1 = 4276.874, w2 = 4186.732, dw = -0.05463, nw = 1651 120826.0002.ec.fits: ap = 83, w1 = 4245.204, w2 = 4155.73, dw = -0.05423, nw = 1651 120826.0002.ec.fits: ap = 84, w1 = 4214., w2 = 4125.184, dw = -0.05383, nw = 1651 120826.0002.ec.fits: ap = 85, w1 = 4183.251, w2 = 4095.084, dw = -0.05343, nw = 1651 120826.0002.ec.fits: ap = 86, w1 = 4152.948, w2 = 4065.42, dw = -0.05305, nw = 1651 120826.0002.ec.fits: ap = 87, w1 = 4123.082, w2 = 4036.183, dw = -0.05267, nw = 1651 120826.0002.ec.fits: ap = 88, w1 = 4093.642, w2 = 4007.364, dw = -0.05229, nw = 1651 120826.0002.ec.fits: ap = 89, w1 = 4064.621, w2 = 3978.953, dw = -0.05192, nw = 1651 120826.0002.ec.fits: ap = 90, w1 = 4036.008, w2 = 3950.943, dw = -0.05155, nw = 1651 120826.0002.ec.fits: ap = 91, w1 = 4007.796, w2 = 3923.325, dw = -0.05119, nw = 1651 120826.0002.ec.fits: ap = 92, w1 = 3979.976, w2 = 3896.09, dw = -0.05084, nw = 1651 120826.0002.ec.fits: ap = 93, w1 = 3952.54, w2 = 3869.231, dw = -0.05049, nw = 1651 120826.0002.ec.fits: ap = 94, w1 = 3925.48, w2 = 3842.74, dw = -0.05015, nw = 1651 120826.0002.ec.fits: ap = 95, w1 = 3898.789, w2 = 3816.61, dw = -0.04981, nw = 1651 120826.0002.ec.fits: ap = 96, w1 = 3872.458, w2 = 3790.832, dw = -0.04947, nw = 1651 120826.0002.ec.fits: ap = 97, w1 = 3846.481, w2 = 3765.401, dw = -0.04914, nw = 1651 120826.0002.ec.fits: ap = 98, w1 = 3820.851, w2 = 3740.308, dw = -0.04881, nw = 1651 120826.0002.ec.fits: ap = 99, w1 = 3795.561, w2 = 3715.548, dw = -0.04849, nw = 1651 120826.0002.ec.fits: ap = 100, w1 = 3770.604, w2 = 3691.114, dw = -0.04818, nw = 1651 120826.0002.ec.fits: ap = 101, w1 = 3745.973, w2 = 3666.999, dw = -0.04786, nw = 1651 120826.0002.ec.fits: ap = 102, w1 = 3721.663, w2 = 3643.197, dw = -0.04756, nw = 1651 120826.0002.ec.fits: ap = 103, w1 = 3697.667, w2 = 3619.702, dw = -0.04725, nw = 1651 120826.0002.ec.fits: ap = 104, w1 = 3673.978, w2 = 3596.509, dw = -0.04695, nw = 1651 120826.0002.ec.fits: ap = 105, w1 = 3650.592, w2 = 3573.611, dw = -0.04666, nw = 1651 120826.0002.ec.fits: ap = 106, w1 = 3627.502, w2 = 3551.002, dw = -0.04636, nw = 1651 120826.0002.ec.fits: ap = 107, w1 = 3604.703, w2 = 3528.678, dw = -0.04608, nw = 1651 120826.0002.ec.fits: ap = 108, w1 = 3582.189, w2 = 3506.633, dw = -0.04579, nw = 1651 120826.0002.ec.fits: ap = 109, w1 = 3559.956, w2 = 3484.862, dw = -0.04551, nw = 1651 120826.0002.ec.fits: ap = 110, w1 = 3537.997, w2 = 3463.359, dw = -0.04523, nw = 1651 120826.0002.ec.fits: ap = 111, w1 = 3516.308, w2 = 3442.121, dw = -0.04496, nw = 1651 120826.0002.ec.fits: ap = 112, w1 = 3494.884, w2 = 3421.141, dw = -0.04469, nw = 1651 120826.0002.ec.fits: ap = 113, w1 = 3473.72, w2 = 3400.415, dw = -0.04443, nw = 1651 120826.0002.ec.fits: ap = 114, w1 = 3452.812, w2 = 3379.939, dw = -0.04417, nw = 1651 120826.0002.ec.fits: ap = 115, w1 = 3432.154, w2 = 3359.708, dw = -0.04391, nw = 1651 120826.0003.ec.fits: REFSPEC1 = '120826.0006.ec 1.' 120826.0003.ec.fits: ap = 1, w1 = 10811.96, w2 = 10583.69, dw = -0.13835, nw = 1651 120826.0003.ec.fits: ap = 2, w1 = 10611.75, w2 = 10387.72, dw = -0.13578, nw = 1651 120826.0003.ec.fits: ap = 3, w1 = 10418.82, w2 = 10198.88, dw = -0.1333, nw = 1651 120826.0003.ec.fits: ap = 4, w1 = 10232.79, w2 = 10016.78, dw = -0.13091, nw = 1651 120826.0003.ec.fits: ap = 5, w1 = 10053.28, w2 = 9841.069, dw = -0.12861, nw = 1651 120826.0003.ec.fits: ap = 6, w1 = 9879.958, w2 = 9671.417, dw = -0.12639, nw = 1651 120826.0003.ec.fits: ap = 7, w1 = 9712.513, w2 = 9507.516, dw = -0.12424, nw = 1651 120826.0003.ec.fits: ap = 8, w1 = 9550.65, w2 = 9349.077, dw = -0.12217, nw = 1651 120826.0003.ec.fits: ap = 9, w1 = 9394.094, w2 = 9195.832, dw = -0.12016, nw = 1651 120826.0003.ec.fits: ap = 10, w1 = 9242.589, w2 = 9047.53, dw = -0.11822, nw = 1651 120826.0003.ec.fits: ap = 11, w1 = 9095.892, w2 = 8903.936, dw = -0.11634, nw = 1651 120826.0003.ec.fits: ap = 12, w1 = 8953.78, w2 = 8764.829, dw = -0.11452, nw = 1651 120826.0003.ec.fits: ap = 13, w1 = 8816.041, w2 = 8630.002, dw = -0.11275, nw = 1651 120826.0003.ec.fits: ap = 14, w1 = 8682.476, w2 = 8499.26, dw = -0.11104, nw = 1651 120826.0003.ec.fits: ap = 15, w1 = 8552.897, w2 = 8372.42, dw = -0.10938, nw = 1651 120826.0003.ec.fits: ap = 16, w1 = 8427.13, w2 = 8249.31, dw = -0.10777, nw = 1651 120826.0003.ec.fits: ap = 17, w1 = 8305.008, w2 = 8129.769, dw = -0.10621, nw = 1651 120826.0003.ec.fits: ap = 18, w1 = 8186.375, w2 = 8013.643, dw = -0.10469, nw = 1651 120826.0003.ec.fits: ap = 19, w1 = 8071.084, w2 = 7900.788, dw = -0.10321, nw = 1651 120826.0003.ec.fits: ap = 20, w1 = 7958.996, w2 = 7791.068, dw = -0.10177, nw = 1651 120826.0003.ec.fits: ap = 21, w1 = 7849.978, w2 = 7684.353, dw = -0.10038, nw = 1651 120826.0003.ec.fits: ap = 22, w1 = 7743.907, w2 = 7580.522, dw = -0.09902, nw = 1651 120826.0003.ec.fits: ap = 23, w1 = 7640.664, w2 = 7479.46, dw = -0.0977, nw = 1651 120826.0003.ec.fits: ap = 24, w1 = 7540.138, w2 = 7381.058, dw = -0.09641, nw = 1651 120826.0003.ec.fits: ap = 25, w1 = 7442.223, w2 = 7285.211, dw = -0.09516, nw = 1651 120826.0003.ec.fits: ap = 26, w1 = 7346.819, w2 = 7191.822, dw = -0.09394, nw = 1651 120826.0003.ec.fits: ap = 27, w1 = 7253.83, w2 = 7100.797, dw = -0.09275, nw = 1651 120826.0003.ec.fits: ap = 28, w1 = 7163.166, w2 = 7012.047, dw = -0.09159, nw = 1651 120826.0003.ec.fits: ap = 29, w1 = 7074.741, w2 = 6925.489, dw = -0.09046, nw = 1651 120826.0003.ec.fits: ap = 30, w1 = 6988.472, w2 = 6841.042, dw = -0.08935, nw = 1651 120826.0003.ec.fits: ap = 31, w1 = 6904.282, w2 = 6758.63, dw = -0.08827, nw = 1651 120826.0003.ec.fits: ap = 32, w1 = 6822.096, w2 = 6678.18, dw = -0.08722, nw = 1651 120826.0003.ec.fits: ap = 33, w1 = 6741.845, w2 = 6599.623, dw = -0.08619, nw = 1651 120826.0003.ec.fits: ap = 34, w1 = 6663.459, w2 = 6522.893, dw = -0.08519, nw = 1651 120826.0003.ec.fits: ap = 35, w1 = 6586.876, w2 = 6447.927, dw = -0.08421, nw = 1651 120826.0003.ec.fits: ap = 36, w1 = 6512.033, w2 = 6374.665, dw = -0.08325, nw = 1651 120826.0003.ec.fits: ap = 37, w1 = 6438.872, w2 = 6303.049, dw = -0.08232, nw = 1651 120826.0003.ec.fits: ap = 38, w1 = 6367.337, w2 = 6233.024, dw = -0.0814, nw = 1651 120826.0003.ec.fits: ap = 39, w1 = 6297.374, w2 = 6164.539, dw = -0.08051, nw = 1651 120826.0003.ec.fits: ap = 40, w1 = 6228.932, w2 = 6097.543, dw = -0.07963, nw = 1651 120826.0003.ec.fits: ap = 41, w1 = 6161.962, w2 = 6031.987, dw = -0.07877, nw = 1651 120826.0003.ec.fits: ap = 42, w1 = 6096.416, w2 = 5967.826, dw = -0.07793, nw = 1651 120826.0003.ec.fits: ap = 43, w1 = 6032.251, w2 = 5905.016, dw = -0.07711, nw = 1651 120826.0003.ec.fits: ap = 44, w1 = 5969.423, w2 = 5843.515, dw = -0.07631, nw = 1651 120826.0003.ec.fits: ap = 45, w1 = 5907.89, w2 = 5783.282, dw = -0.07552, nw = 1651 120826.0003.ec.fits: ap = 46, w1 = 5847.613, w2 = 5724.279, dw = -0.07475, nw = 1651 120826.0003.ec.fits: ap = 47, w1 = 5788.554, w2 = 5666.467, dw = -0.07399, nw = 1651 120826.0003.ec.fits: ap = 48, w1 = 5730.676, w2 = 5609.812, dw = -0.07325, nw = 1651 120826.0003.ec.fits: ap = 49, w1 = 5673.944, w2 = 5554.278, dw = -0.07252, nw = 1651 120826.0003.ec.fits: ap = 50, w1 = 5618.324, w2 = 5499.834, dw = -0.07181, nw = 1651 120826.0003.ec.fits: ap = 51, w1 = 5563.785, w2 = 5446.447, dw = -0.07111, nw = 1651 120826.0003.ec.fits: ap = 52, w1 = 5510.294, w2 = 5394.087, dw = -0.07043, nw = 1651 120826.0003.ec.fits: ap = 53, w1 = 5457.823, w2 = 5342.725, dw = -0.06976, nw = 1651 120826.0003.ec.fits: ap = 54, w1 = 5406.342, w2 = 5292.331, dw = -0.0691, nw = 1651 120826.0003.ec.fits: ap = 55, w1 = 5355.823, w2 = 5242.88, dw = -0.06845, nw = 1651 120826.0003.ec.fits: ap = 56, w1 = 5306.239, w2 = 5194.344, dw = -0.06782, nw = 1651 120826.0003.ec.fits: ap = 57, w1 = 5257.566, w2 = 5146.7, dw = -0.06719, nw = 1651 120826.0003.ec.fits: ap = 58, w1 = 5209.777, w2 = 5099.921, dw = -0.06658, nw = 1651 120826.0003.ec.fits: ap = 59, w1 = 5162.85, w2 = 5053.986, dw = -0.06598, nw = 1651 120826.0003.ec.fits: ap = 60, w1 = 5116.761, w2 = 5008.871, dw = -0.06539, nw = 1651 120826.0003.ec.fits: ap = 61, w1 = 5071.488, w2 = 4964.555, dw = -0.06481, nw = 1651 120826.0003.ec.fits: ap = 62, w1 = 5027.009, w2 = 4921.016, dw = -0.06424, nw = 1651 120826.0003.ec.fits: ap = 63, w1 = 4983.304, w2 = 4878.235, dw = -0.06368, nw = 1651 120826.0003.ec.fits: ap = 64, w1 = 4940.352, w2 = 4836.191, dw = -0.06313, nw = 1651 120826.0003.ec.fits: ap = 65, w1 = 4898.135, w2 = 4794.866, dw = -0.06259, nw = 1651 120826.0003.ec.fits: ap = 66, w1 = 4856.634, w2 = 4754.242, dw = -0.06206, nw = 1651 120826.0003.ec.fits: ap = 67, w1 = 4815.83, w2 = 4714.301, dw = -0.06153, nw = 1651 120826.0003.ec.fits: ap = 68, w1 = 4775.706, w2 = 4675.026, dw = -0.06102, nw = 1651 120826.0003.ec.fits: ap = 69, w1 = 4736.246, w2 = 4636.399, dw = -0.06051, nw = 1651 120826.0003.ec.fits: ap = 70, w1 = 4697.433, w2 = 4598.407, dw = -0.06002, nw = 1651 120826.0003.ec.fits: ap = 71, w1 = 4659.251, w2 = 4561.032, dw = -0.05953, nw = 1651 120826.0003.ec.fits: ap = 72, w1 = 4621.685, w2 = 4524.26, dw = -0.05905, nw = 1651 120826.0003.ec.fits: ap = 73, w1 = 4584.72, w2 = 4488.076, dw = -0.05857, nw = 1651 120826.0003.ec.fits: ap = 74, w1 = 4548.343, w2 = 4452.467, dw = -0.05811, nw = 1651 120826.0003.ec.fits: ap = 75, w1 = 4512.538, w2 = 4417.419, dw = -0.05765, nw = 1651 120826.0003.ec.fits: ap = 76, w1 = 4477.293, w2 = 4382.919, dw = -0.0572, nw = 1651 120826.0003.ec.fits: ap = 77, w1 = 4442.595, w2 = 4348.953, dw = -0.05675, nw = 1651 120826.0003.ec.fits: ap = 78, w1 = 4408.43, w2 = 4315.51, dw = -0.05632, nw = 1651 120826.0003.ec.fits: ap = 79, w1 = 4374.788, w2 = 4282.578, dw = -0.05588, nw = 1651 120826.0003.ec.fits: ap = 80, w1 = 4341.655, w2 = 4250.145, dw = -0.05546, nw = 1651 120826.0003.ec.fits: ap = 81, w1 = 4309.021, w2 = 4218.2, dw = -0.05504, nw = 1651 120826.0003.ec.fits: ap = 82, w1 = 4276.874, w2 = 4186.732, dw = -0.05463, nw = 1651 120826.0003.ec.fits: ap = 83, w1 = 4245.204, w2 = 4155.73, dw = -0.05423, nw = 1651 120826.0003.ec.fits: ap = 84, w1 = 4214., w2 = 4125.184, dw = -0.05383, nw = 1651 120826.0003.ec.fits: ap = 85, w1 = 4183.251, w2 = 4095.084, dw = -0.05343, nw = 1651 120826.0003.ec.fits: ap = 86, w1 = 4152.948, w2 = 4065.42, dw = -0.05305, nw = 1651 120826.0003.ec.fits: ap = 87, w1 = 4123.082, w2 = 4036.183, dw = -0.05267, nw = 1651 120826.0003.ec.fits: ap = 88, w1 = 4093.642, w2 = 4007.364, dw = -0.05229, nw = 1651 120826.0003.ec.fits: ap = 89, w1 = 4064.621, w2 = 3978.953, dw = -0.05192, nw = 1651 120826.0003.ec.fits: ap = 90, w1 = 4036.008, w2 = 3950.943, dw = -0.05155, nw = 1651 120826.0003.ec.fits: ap = 91, w1 = 4007.796, w2 = 3923.325, dw = -0.05119, nw = 1651 120826.0003.ec.fits: ap = 92, w1 = 3979.976, w2 = 3896.09, dw = -0.05084, nw = 1651 120826.0003.ec.fits: ap = 93, w1 = 3952.54, w2 = 3869.231, dw = -0.05049, nw = 1651 120826.0003.ec.fits: ap = 94, w1 = 3925.48, w2 = 3842.74, dw = -0.05015, nw = 1651 120826.0003.ec.fits: ap = 95, w1 = 3898.789, w2 = 3816.61, dw = -0.04981, nw = 1651 120826.0003.ec.fits: ap = 96, w1 = 3872.458, w2 = 3790.832, dw = -0.04947, nw = 1651 120826.0003.ec.fits: ap = 97, w1 = 3846.481, w2 = 3765.401, dw = -0.04914, nw = 1651 120826.0003.ec.fits: ap = 98, w1 = 3820.851, w2 = 3740.308, dw = -0.04881, nw = 1651 120826.0003.ec.fits: ap = 99, w1 = 3795.561, w2 = 3715.548, dw = -0.04849, nw = 1651 120826.0003.ec.fits: ap = 100, w1 = 3770.604, w2 = 3691.114, dw = -0.04818, nw = 1651 120826.0003.ec.fits: ap = 101, w1 = 3745.973, w2 = 3666.999, dw = -0.04786, nw = 1651 120826.0003.ec.fits: ap = 102, w1 = 3721.663, w2 = 3643.197, dw = -0.04756, nw = 1651 120826.0003.ec.fits: ap = 103, w1 = 3697.667, w2 = 3619.702, dw = -0.04725, nw = 1651 120826.0003.ec.fits: ap = 104, w1 = 3673.978, w2 = 3596.509, dw = -0.04695, nw = 1651 120826.0003.ec.fits: ap = 105, w1 = 3650.592, w2 = 3573.611, dw = -0.04666, nw = 1651 120826.0003.ec.fits: ap = 106, w1 = 3627.502, w2 = 3551.002, dw = -0.04636, nw = 1651 120826.0003.ec.fits: ap = 107, w1 = 3604.703, w2 = 3528.678, dw = -0.04608, nw = 1651 120826.0003.ec.fits: ap = 108, w1 = 3582.189, w2 = 3506.633, dw = -0.04579, nw = 1651 120826.0003.ec.fits: ap = 109, w1 = 3559.956, w2 = 3484.862, dw = -0.04551, nw = 1651 120826.0003.ec.fits: ap = 110, w1 = 3537.997, w2 = 3463.359, dw = -0.04523, nw = 1651 120826.0003.ec.fits: ap = 111, w1 = 3516.308, w2 = 3442.121, dw = -0.04496, nw = 1651 120826.0003.ec.fits: ap = 112, w1 = 3494.884, w2 = 3421.141, dw = -0.04469, nw = 1651 120826.0003.ec.fits: ap = 113, w1 = 3473.72, w2 = 3400.415, dw = -0.04443, nw = 1651 120826.0003.ec.fits: ap = 114, w1 = 3452.812, w2 = 3379.939, dw = -0.04417, nw = 1651 120826.0003.ec.fits: ap = 115, w1 = 3432.154, w2 = 3359.708, dw = -0.04391, nw = 1651 120826.0005.ec.fits: REFSPEC1 = '120826.0006.ec 1.' 120826.0005.ec.fits: ap = 1, w1 = 10811.96, w2 = 10583.69, dw = -0.13835, nw = 1651 120826.0005.ec.fits: ap = 2, w1 = 10611.75, w2 = 10387.72, dw = -0.13578, nw = 1651 120826.0005.ec.fits: ap = 3, w1 = 10418.82, w2 = 10198.88, dw = -0.1333, nw = 1651 120826.0005.ec.fits: ap = 4, w1 = 10232.79, w2 = 10016.78, dw = -0.13091, nw = 1651 120826.0005.ec.fits: ap = 5, w1 = 10053.28, w2 = 9841.069, dw = -0.12861, nw = 1651 120826.0005.ec.fits: ap = 6, w1 = 9879.958, w2 = 9671.417, dw = -0.12639, nw = 1651 120826.0005.ec.fits: ap = 7, w1 = 9712.513, w2 = 9507.516, dw = -0.12424, nw = 1651 120826.0005.ec.fits: ap = 8, w1 = 9550.65, w2 = 9349.077, dw = -0.12217, nw = 1651 120826.0005.ec.fits: ap = 9, w1 = 9394.094, w2 = 9195.832, dw = -0.12016, nw = 1651 120826.0005.ec.fits: ap = 10, w1 = 9242.589, w2 = 9047.53, dw = -0.11822, nw = 1651 120826.0005.ec.fits: ap = 11, w1 = 9095.892, w2 = 8903.936, dw = -0.11634, nw = 1651 120826.0005.ec.fits: ap = 12, w1 = 8953.78, w2 = 8764.829, dw = -0.11452, nw = 1651 120826.0005.ec.fits: ap = 13, w1 = 8816.041, w2 = 8630.002, dw = -0.11275, nw = 1651 120826.0005.ec.fits: ap = 14, w1 = 8682.476, w2 = 8499.26, dw = -0.11104, nw = 1651 120826.0005.ec.fits: ap = 15, w1 = 8552.897, w2 = 8372.42, dw = -0.10938, nw = 1651 120826.0005.ec.fits: ap = 16, w1 = 8427.13, w2 = 8249.31, dw = -0.10777, nw = 1651 120826.0005.ec.fits: ap = 17, w1 = 8305.008, w2 = 8129.769, dw = -0.10621, nw = 1651 120826.0005.ec.fits: ap = 18, w1 = 8186.375, w2 = 8013.643, dw = -0.10469, nw = 1651 120826.0005.ec.fits: ap = 19, w1 = 8071.084, w2 = 7900.788, dw = -0.10321, nw = 1651 120826.0005.ec.fits: ap = 20, w1 = 7958.996, w2 = 7791.068, dw = -0.10177, nw = 1651 120826.0005.ec.fits: ap = 21, w1 = 7849.978, w2 = 7684.353, dw = -0.10038, nw = 1651 120826.0005.ec.fits: ap = 22, w1 = 7743.907, w2 = 7580.522, dw = -0.09902, nw = 1651 120826.0005.ec.fits: ap = 23, w1 = 7640.664, w2 = 7479.46, dw = -0.0977, nw = 1651 120826.0005.ec.fits: ap = 24, w1 = 7540.138, w2 = 7381.058, dw = -0.09641, nw = 1651 120826.0005.ec.fits: ap = 25, w1 = 7442.223, w2 = 7285.211, dw = -0.09516, nw = 1651 120826.0005.ec.fits: ap = 26, w1 = 7346.819, w2 = 7191.822, dw = -0.09394, nw = 1651 120826.0005.ec.fits: ap = 27, w1 = 7253.83, w2 = 7100.797, dw = -0.09275, nw = 1651 120826.0005.ec.fits: ap = 28, w1 = 7163.166, w2 = 7012.047, dw = -0.09159, nw = 1651 120826.0005.ec.fits: ap = 29, w1 = 7074.741, w2 = 6925.489, dw = -0.09046, nw = 1651 120826.0005.ec.fits: ap = 30, w1 = 6988.472, w2 = 6841.042, dw = -0.08935, nw = 1651 120826.0005.ec.fits: ap = 31, w1 = 6904.282, w2 = 6758.63, dw = -0.08827, nw = 1651 120826.0005.ec.fits: ap = 32, w1 = 6822.096, w2 = 6678.18, dw = -0.08722, nw = 1651 120826.0005.ec.fits: ap = 33, w1 = 6741.845, w2 = 6599.623, dw = -0.08619, nw = 1651 120826.0005.ec.fits: ap = 34, w1 = 6663.459, w2 = 6522.893, dw = -0.08519, nw = 1651 120826.0005.ec.fits: ap = 35, w1 = 6586.876, w2 = 6447.927, dw = -0.08421, nw = 1651 120826.0005.ec.fits: ap = 36, w1 = 6512.033, w2 = 6374.665, dw = -0.08325, nw = 1651 120826.0005.ec.fits: ap = 37, w1 = 6438.872, w2 = 6303.049, dw = -0.08232, nw = 1651 120826.0005.ec.fits: ap = 38, w1 = 6367.337, w2 = 6233.024, dw = -0.0814, nw = 1651 120826.0005.ec.fits: ap = 39, w1 = 6297.374, w2 = 6164.539, dw = -0.08051, nw = 1651 120826.0005.ec.fits: ap = 40, w1 = 6228.932, w2 = 6097.543, dw = -0.07963, nw = 1651 120826.0005.ec.fits: ap = 41, w1 = 6161.962, w2 = 6031.987, dw = -0.07877, nw = 1651 120826.0005.ec.fits: ap = 42, w1 = 6096.416, w2 = 5967.826, dw = -0.07793, nw = 1651 120826.0005.ec.fits: ap = 43, w1 = 6032.251, w2 = 5905.016, dw = -0.07711, nw = 1651 120826.0005.ec.fits: ap = 44, w1 = 5969.423, w2 = 5843.515, dw = -0.07631, nw = 1651 120826.0005.ec.fits: ap = 45, w1 = 5907.89, w2 = 5783.282, dw = -0.07552, nw = 1651 120826.0005.ec.fits: ap = 46, w1 = 5847.613, w2 = 5724.279, dw = -0.07475, nw = 1651 120826.0005.ec.fits: ap = 47, w1 = 5788.554, w2 = 5666.467, dw = -0.07399, nw = 1651 120826.0005.ec.fits: ap = 48, w1 = 5730.676, w2 = 5609.812, dw = -0.07325, nw = 1651 120826.0005.ec.fits: ap = 49, w1 = 5673.944, w2 = 5554.278, dw = -0.07252, nw = 1651 120826.0005.ec.fits: ap = 50, w1 = 5618.324, w2 = 5499.834, dw = -0.07181, nw = 1651 120826.0005.ec.fits: ap = 51, w1 = 5563.785, w2 = 5446.447, dw = -0.07111, nw = 1651 120826.0005.ec.fits: ap = 52, w1 = 5510.294, w2 = 5394.087, dw = -0.07043, nw = 1651 120826.0005.ec.fits: ap = 53, w1 = 5457.823, w2 = 5342.725, dw = -0.06976, nw = 1651 120826.0005.ec.fits: ap = 54, w1 = 5406.342, w2 = 5292.331, dw = -0.0691, nw = 1651 120826.0005.ec.fits: ap = 55, w1 = 5355.823, w2 = 5242.88, dw = -0.06845, nw = 1651 120826.0005.ec.fits: ap = 56, w1 = 5306.239, w2 = 5194.344, dw = -0.06782, nw = 1651 120826.0005.ec.fits: ap = 57, w1 = 5257.566, w2 = 5146.7, dw = -0.06719, nw = 1651 120826.0005.ec.fits: ap = 58, w1 = 5209.777, w2 = 5099.921, dw = -0.06658, nw = 1651 120826.0005.ec.fits: ap = 59, w1 = 5162.85, w2 = 5053.986, dw = -0.06598, nw = 1651 120826.0005.ec.fits: ap = 60, w1 = 5116.761, w2 = 5008.871, dw = -0.06539, nw = 1651 120826.0005.ec.fits: ap = 61, w1 = 5071.488, w2 = 4964.555, dw = -0.06481, nw = 1651 120826.0005.ec.fits: ap = 62, w1 = 5027.009, w2 = 4921.016, dw = -0.06424, nw = 1651 120826.0005.ec.fits: ap = 63, w1 = 4983.304, w2 = 4878.235, dw = -0.06368, nw = 1651 120826.0005.ec.fits: ap = 64, w1 = 4940.352, w2 = 4836.191, dw = -0.06313, nw = 1651 120826.0005.ec.fits: ap = 65, w1 = 4898.135, w2 = 4794.866, dw = -0.06259, nw = 1651 120826.0005.ec.fits: ap = 66, w1 = 4856.634, w2 = 4754.242, dw = -0.06206, nw = 1651 120826.0005.ec.fits: ap = 67, w1 = 4815.83, w2 = 4714.301, dw = -0.06153, nw = 1651 120826.0005.ec.fits: ap = 68, w1 = 4775.706, w2 = 4675.026, dw = -0.06102, nw = 1651 120826.0005.ec.fits: ap = 69, w1 = 4736.246, w2 = 4636.399, dw = -0.06051, nw = 1651 120826.0005.ec.fits: ap = 70, w1 = 4697.433, w2 = 4598.407, dw = -0.06002, nw = 1651 120826.0005.ec.fits: ap = 71, w1 = 4659.251, w2 = 4561.032, dw = -0.05953, nw = 1651 120826.0005.ec.fits: ap = 72, w1 = 4621.685, w2 = 4524.26, dw = -0.05905, nw = 1651 120826.0005.ec.fits: ap = 73, w1 = 4584.72, w2 = 4488.076, dw = -0.05857, nw = 1651 120826.0005.ec.fits: ap = 74, w1 = 4548.343, w2 = 4452.467, dw = -0.05811, nw = 1651 120826.0005.ec.fits: ap = 75, w1 = 4512.538, w2 = 4417.419, dw = -0.05765, nw = 1651 120826.0005.ec.fits: ap = 76, w1 = 4477.293, w2 = 4382.919, dw = -0.0572, nw = 1651 120826.0005.ec.fits: ap = 77, w1 = 4442.595, w2 = 4348.953, dw = -0.05675, nw = 1651 120826.0005.ec.fits: ap = 78, w1 = 4408.43, w2 = 4315.51, dw = -0.05632, nw = 1651 120826.0005.ec.fits: ap = 79, w1 = 4374.788, w2 = 4282.578, dw = -0.05588, nw = 1651 120826.0005.ec.fits: ap = 80, w1 = 4341.655, w2 = 4250.145, dw = -0.05546, nw = 1651 120826.0005.ec.fits: ap = 81, w1 = 4309.021, w2 = 4218.2, dw = -0.05504, nw = 1651 120826.0005.ec.fits: ap = 82, w1 = 4276.874, w2 = 4186.732, dw = -0.05463, nw = 1651 120826.0005.ec.fits: ap = 83, w1 = 4245.204, w2 = 4155.73, dw = -0.05423, nw = 1651 120826.0005.ec.fits: ap = 84, w1 = 4214., w2 = 4125.184, dw = -0.05383, nw = 1651 120826.0005.ec.fits: ap = 85, w1 = 4183.251, w2 = 4095.084, dw = -0.05343, nw = 1651 120826.0005.ec.fits: ap = 86, w1 = 4152.948, w2 = 4065.42, dw = -0.05305, nw = 1651 120826.0005.ec.fits: ap = 87, w1 = 4123.082, w2 = 4036.183, dw = -0.05267, nw = 1651 120826.0005.ec.fits: ap = 88, w1 = 4093.642, w2 = 4007.364, dw = -0.05229, nw = 1651 120826.0005.ec.fits: ap = 89, w1 = 4064.621, w2 = 3978.953, dw = -0.05192, nw = 1651 120826.0005.ec.fits: ap = 90, w1 = 4036.008, w2 = 3950.943, dw = -0.05155, nw = 1651 120826.0005.ec.fits: ap = 91, w1 = 4007.796, w2 = 3923.325, dw = -0.05119, nw = 1651 120826.0005.ec.fits: ap = 92, w1 = 3979.976, w2 = 3896.09, dw = -0.05084, nw = 1651 120826.0005.ec.fits: ap = 93, w1 = 3952.54, w2 = 3869.231, dw = -0.05049, nw = 1651 120826.0005.ec.fits: ap = 94, w1 = 3925.48, w2 = 3842.74, dw = -0.05015, nw = 1651 120826.0005.ec.fits: ap = 95, w1 = 3898.789, w2 = 3816.61, dw = -0.04981, nw = 1651 120826.0005.ec.fits: ap = 96, w1 = 3872.458, w2 = 3790.832, dw = -0.04947, nw = 1651 120826.0005.ec.fits: ap = 97, w1 = 3846.481, w2 = 3765.401, dw = -0.04914, nw = 1651 120826.0005.ec.fits: ap = 98, w1 = 3820.851, w2 = 3740.308, dw = -0.04881, nw = 1651 120826.0005.ec.fits: ap = 99, w1 = 3795.561, w2 = 3715.548, dw = -0.04849, nw = 1651 120826.0005.ec.fits: ap = 100, w1 = 3770.604, w2 = 3691.114, dw = -0.04818, nw = 1651 120826.0005.ec.fits: ap = 101, w1 = 3745.973, w2 = 3666.999, dw = -0.04786, nw = 1651 120826.0005.ec.fits: ap = 102, w1 = 3721.663, w2 = 3643.197, dw = -0.04756, nw = 1651 120826.0005.ec.fits: ap = 103, w1 = 3697.667, w2 = 3619.702, dw = -0.04725, nw = 1651 120826.0005.ec.fits: ap = 104, w1 = 3673.978, w2 = 3596.509, dw = -0.04695, nw = 1651 120826.0005.ec.fits: ap = 105, w1 = 3650.592, w2 = 3573.611, dw = -0.04666, nw = 1651 120826.0005.ec.fits: ap = 106, w1 = 3627.502, w2 = 3551.002, dw = -0.04636, nw = 1651 120826.0005.ec.fits: ap = 107, w1 = 3604.703, w2 = 3528.678, dw = -0.04608, nw = 1651 120826.0005.ec.fits: ap = 108, w1 = 3582.189, w2 = 3506.633, dw = -0.04579, nw = 1651 120826.0005.ec.fits: ap = 109, w1 = 3559.956, w2 = 3484.862, dw = -0.04551, nw = 1651 120826.0005.ec.fits: ap = 110, w1 = 3537.997, w2 = 3463.359, dw = -0.04523, nw = 1651 120826.0005.ec.fits: ap = 111, w1 = 3516.308, w2 = 3442.121, dw = -0.04496, nw = 1651 120826.0005.ec.fits: ap = 112, w1 = 3494.884, w2 = 3421.141, dw = -0.04469, nw = 1651 120826.0005.ec.fits: ap = 113, w1 = 3473.72, w2 = 3400.415, dw = -0.04443, nw = 1651 120826.0005.ec.fits: ap = 114, w1 = 3452.812, w2 = 3379.939, dw = -0.04417, nw = 1651 120826.0005.ec.fits: ap = 115, w1 = 3432.154, w2 = 3359.708, dw = -0.04391, nw = 1651 120826.0026.ec.fits: REFSPEC1 = '120826.0009.ec 1.' 120826.0026.ec.fits: ap = 1, w1 = 10811.92, w2 = 10583.74, dw = -0.13829, nw = 1651 120826.0026.ec.fits: ap = 2, w1 = 10611.72, w2 = 10387.76, dw = -0.13573, nw = 1651 120826.0026.ec.fits: ap = 3, w1 = 10418.79, w2 = 10198.91, dw = -0.13326, nw = 1651 120826.0026.ec.fits: ap = 4, w1 = 10232.75, w2 = 10016.8, dw = -0.13088, nw = 1651 120826.0026.ec.fits: ap = 5, w1 = 10053.25, w2 = 9841.087, dw = -0.12858, nw = 1651 120826.0026.ec.fits: ap = 6, w1 = 9879.928, w2 = 9671.429, dw = -0.12636, nw = 1651 120826.0026.ec.fits: ap = 7, w1 = 9712.485, w2 = 9507.522, dw = -0.12422, nw = 1651 120826.0026.ec.fits: ap = 8, w1 = 9550.624, w2 = 9349.079, dw = -0.12215, nw = 1651 120826.0026.ec.fits: ap = 9, w1 = 9394.069, w2 = 9195.83, dw = -0.12014, nw = 1651 120826.0026.ec.fits: ap = 10, w1 = 9242.564, w2 = 9047.525, dw = -0.11821, nw = 1651 120826.0026.ec.fits: ap = 11, w1 = 9095.869, w2 = 8903.928, dw = -0.11633, nw = 1651 120826.0026.ec.fits: ap = 12, w1 = 8953.759, w2 = 8764.818, dw = -0.11451, nw = 1651 120826.0026.ec.fits: ap = 13, w1 = 8816.02, w2 = 8629.989, dw = -0.11275, nw = 1651 120826.0026.ec.fits: ap = 14, w1 = 8682.456, w2 = 8499.245, dw = -0.11104, nw = 1651 120826.0026.ec.fits: ap = 15, w1 = 8552.879, w2 = 8372.404, dw = -0.10938, nw = 1651 120826.0026.ec.fits: ap = 16, w1 = 8427.112, w2 = 8249.294, dw = -0.10777, nw = 1651 120826.0026.ec.fits: ap = 17, w1 = 8304.991, w2 = 8129.751, dw = -0.10621, nw = 1651 120826.0026.ec.fits: ap = 18, w1 = 8186.359, w2 = 8013.625, dw = -0.10469, nw = 1651 120826.0026.ec.fits: ap = 19, w1 = 8071.069, w2 = 7900.769, dw = -0.10321, nw = 1651 120826.0026.ec.fits: ap = 20, w1 = 7958.982, w2 = 7791.049, dw = -0.10178, nw = 1651 120826.0026.ec.fits: ap = 21, w1 = 7849.965, w2 = 7684.334, dw = -0.10038, nw = 1651 120826.0026.ec.fits: ap = 22, w1 = 7743.895, w2 = 7580.504, dw = -0.09902, nw = 1651 120826.0026.ec.fits: ap = 23, w1 = 7640.653, w2 = 7479.443, dw = -0.0977, nw = 1651 120826.0026.ec.fits: ap = 24, w1 = 7540.128, w2 = 7381.041, dw = -0.09642, nw = 1651 120826.0026.ec.fits: ap = 25, w1 = 7442.214, w2 = 7285.194, dw = -0.09516, nw = 1651 120826.0026.ec.fits: ap = 26, w1 = 7346.811, w2 = 7191.806, dw = -0.09394, nw = 1651 120826.0026.ec.fits: ap = 27, w1 = 7253.823, w2 = 7100.782, dw = -0.09275, nw = 1651 120826.0026.ec.fits: ap = 28, w1 = 7163.16, w2 = 7012.033, dw = -0.09159, nw = 1651 120826.0026.ec.fits: ap = 29, w1 = 7074.735, w2 = 6925.476, dw = -0.09046, nw = 1651 120826.0026.ec.fits: ap = 30, w1 = 6988.467, w2 = 6841.03, dw = -0.08936, nw = 1651 120826.0026.ec.fits: ap = 31, w1 = 6904.278, w2 = 6758.619, dw = -0.08828, nw = 1651 120826.0026.ec.fits: ap = 32, w1 = 6822.093, w2 = 6678.17, dw = -0.08723, nw = 1651 120826.0026.ec.fits: ap = 33, w1 = 6741.842, w2 = 6599.614, dw = -0.0862, nw = 1651 120826.0026.ec.fits: ap = 34, w1 = 6663.458, w2 = 6522.885, dw = -0.0852, nw = 1651 120826.0026.ec.fits: ap = 35, w1 = 6586.875, w2 = 6447.92, dw = -0.08422, nw = 1651 120826.0026.ec.fits: ap = 36, w1 = 6512.033, w2 = 6374.658, dw = -0.08326, nw = 1651 120826.0026.ec.fits: ap = 37, w1 = 6438.873, w2 = 6303.043, dw = -0.08232, nw = 1651 120826.0026.ec.fits: ap = 38, w1 = 6367.339, w2 = 6233.02, dw = -0.08141, nw = 1651 120826.0026.ec.fits: ap = 39, w1 = 6297.377, w2 = 6164.535, dw = -0.08051, nw = 1651 120826.0026.ec.fits: ap = 40, w1 = 6228.935, w2 = 6097.54, dw = -0.07963, nw = 1651 120826.0026.ec.fits: ap = 41, w1 = 6161.966, w2 = 6031.985, dw = -0.07878, nw = 1651 120826.0026.ec.fits: ap = 42, w1 = 6096.422, w2 = 5967.825, dw = -0.07794, nw = 1651 120826.0026.ec.fits: ap = 43, w1 = 6032.257, w2 = 5905.016, dw = -0.07712, nw = 1651 120826.0026.ec.fits: ap = 44, w1 = 5969.43, w2 = 5843.515, dw = -0.07631, nw = 1651 120826.0026.ec.fits: ap = 45, w1 = 5907.898, w2 = 5783.283, dw = -0.07552, nw = 1651 120826.0026.ec.fits: ap = 46, w1 = 5847.621, w2 = 5724.28, dw = -0.07475, nw = 1651 120826.0026.ec.fits: ap = 47, w1 = 5788.563, w2 = 5666.468, dw = -0.074, nw = 1651 120826.0026.ec.fits: ap = 48, w1 = 5730.685, w2 = 5609.814, dw = -0.07326, nw = 1651 120826.0026.ec.fits: ap = 49, w1 = 5673.954, w2 = 5554.281, dw = -0.07253, nw = 1651 120826.0026.ec.fits: ap = 50, w1 = 5618.335, w2 = 5499.837, dw = -0.07182, nw = 1651 120826.0026.ec.fits: ap = 51, w1 = 5563.796, w2 = 5446.45, dw = -0.07112, nw = 1651 120826.0026.ec.fits: ap = 52, w1 = 5510.306, w2 = 5394.09, dw = -0.07043, nw = 1651 120826.0026.ec.fits: ap = 53, w1 = 5457.835, w2 = 5342.728, dw = -0.06976, nw = 1651 120826.0026.ec.fits: ap = 54, w1 = 5406.355, w2 = 5292.334, dw = -0.0691, nw = 1651 120826.0026.ec.fits: ap = 55, w1 = 5355.836, w2 = 5242.883, dw = -0.06846, nw = 1651 120826.0026.ec.fits: ap = 56, w1 = 5306.253, w2 = 5194.348, dw = -0.06782, nw = 1651 120826.0026.ec.fits: ap = 57, w1 = 5257.58, w2 = 5146.703, dw = -0.0672, nw = 1651 120826.0026.ec.fits: ap = 58, w1 = 5209.792, w2 = 5099.924, dw = -0.06659, nw = 1651 120826.0026.ec.fits: ap = 59, w1 = 5162.865, w2 = 5053.989, dw = -0.06599, nw = 1651 120826.0026.ec.fits: ap = 60, w1 = 5116.776, w2 = 5008.874, dw = -0.0654, nw = 1651 120826.0026.ec.fits: ap = 61, w1 = 5071.503, w2 = 4964.557, dw = -0.06482, nw = 1651 120826.0026.ec.fits: ap = 62, w1 = 5027.024, w2 = 4921.018, dw = -0.06425, nw = 1651 120826.0026.ec.fits: ap = 63, w1 = 4983.319, w2 = 4878.237, dw = -0.06369, nw = 1651 120826.0026.ec.fits: ap = 64, w1 = 4940.367, w2 = 4836.193, dw = -0.06314, nw = 1651 120826.0026.ec.fits: ap = 65, w1 = 4898.15, w2 = 4794.867, dw = -0.0626, nw = 1651 120826.0026.ec.fits: ap = 66, w1 = 4856.648, w2 = 4754.243, dw = -0.06206, nw = 1651 120826.0026.ec.fits: ap = 67, w1 = 4815.844, w2 = 4714.301, dw = -0.06154, nw = 1651 120826.0026.ec.fits: ap = 68, w1 = 4775.72, w2 = 4675.025, dw = -0.06103, nw = 1651 120826.0026.ec.fits: ap = 69, w1 = 4736.26, w2 = 4636.398, dw = -0.06052, nw = 1651 120826.0026.ec.fits: ap = 70, w1 = 4697.446, w2 = 4598.405, dw = -0.06002, nw = 1651 120826.0026.ec.fits: ap = 71, w1 = 4659.264, w2 = 4561.03, dw = -0.05954, nw = 1651 120826.0026.ec.fits: ap = 72, w1 = 4621.697, w2 = 4524.257, dw = -0.05905, nw = 1651 120826.0026.ec.fits: ap = 73, w1 = 4584.732, w2 = 4488.073, dw = -0.05858, nw = 1651 120826.0026.ec.fits: ap = 74, w1 = 4548.353, w2 = 4452.463, dw = -0.05812, nw = 1651 120826.0026.ec.fits: ap = 75, w1 = 4512.548, w2 = 4417.415, dw = -0.05766, nw = 1651 120826.0026.ec.fits: ap = 76, w1 = 4477.302, w2 = 4382.914, dw = -0.0572, nw = 1651 120826.0026.ec.fits: ap = 77, w1 = 4442.602, w2 = 4348.948, dw = -0.05676, nw = 1651 120826.0026.ec.fits: ap = 78, w1 = 4408.437, w2 = 4315.504, dw = -0.05632, nw = 1651 120826.0026.ec.fits: ap = 79, w1 = 4374.793, w2 = 4282.572, dw = -0.05589, nw = 1651 120826.0026.ec.fits: ap = 80, w1 = 4341.659, w2 = 4250.138, dw = -0.05547, nw = 1651 120826.0026.ec.fits: ap = 81, w1 = 4309.023, w2 = 4218.193, dw = -0.05505, nw = 1651 120826.0026.ec.fits: ap = 82, w1 = 4276.875, w2 = 4186.724, dw = -0.05464, nw = 1651 120826.0026.ec.fits: ap = 83, w1 = 4245.203, w2 = 4155.721, dw = -0.05423, nw = 1651 120826.0026.ec.fits: ap = 84, w1 = 4213.996, w2 = 4125.175, dw = -0.05383, nw = 1651 120826.0026.ec.fits: ap = 85, w1 = 4183.246, w2 = 4095.075, dw = -0.05344, nw = 1651 120826.0026.ec.fits: ap = 86, w1 = 4152.941, w2 = 4065.411, dw = -0.05305, nw = 1651 120826.0026.ec.fits: ap = 87, w1 = 4123.072, w2 = 4036.174, dw = -0.05267, nw = 1651 120826.0026.ec.fits: ap = 88, w1 = 4093.63, w2 = 4007.354, dw = -0.05229, nw = 1651 120826.0026.ec.fits: ap = 89, w1 = 4064.606, w2 = 3978.944, dw = -0.05192, nw = 1651 120826.0026.ec.fits: ap = 90, w1 = 4035.991, w2 = 3950.934, dw = -0.05155, nw = 1651 120826.0026.ec.fits: ap = 91, w1 = 4007.776, w2 = 3923.316, dw = -0.05119, nw = 1651 120826.0026.ec.fits: ap = 92, w1 = 3979.953, w2 = 3896.081, dw = -0.05083, nw = 1651 120826.0026.ec.fits: ap = 93, w1 = 3952.514, w2 = 3869.222, dw = -0.05048, nw = 1651 120826.0026.ec.fits: ap = 94, w1 = 3925.451, w2 = 3842.732, dw = -0.05013, nw = 1651 120826.0026.ec.fits: ap = 95, w1 = 3898.756, w2 = 3816.602, dw = -0.04979, nw = 1651 120826.0026.ec.fits: ap = 96, w1 = 3872.422, w2 = 3790.825, dw = -0.04945, nw = 1651 120826.0026.ec.fits: ap = 97, w1 = 3846.442, w2 = 3765.394, dw = -0.04912, nw = 1651 120826.0026.ec.fits: ap = 98, w1 = 3820.808, w2 = 3740.302, dw = -0.04879, nw = 1651 120826.0026.ec.fits: ap = 99, w1 = 3795.514, w2 = 3715.543, dw = -0.04847, nw = 1651 120826.0026.ec.fits: ap = 100, w1 = 3770.552, w2 = 3691.11, dw = -0.04815, nw = 1651 120826.0026.ec.fits: ap = 101, w1 = 3745.917, w2 = 3666.996, dw = -0.04783, nw = 1651 120826.0026.ec.fits: ap = 102, w1 = 3721.603, w2 = 3643.196, dw = -0.04752, nw = 1651 120826.0026.ec.fits: ap = 103, w1 = 3697.602, w2 = 3619.703, dw = -0.04721, nw = 1651 120826.0026.ec.fits: ap = 104, w1 = 3673.908, w2 = 3596.511, dw = -0.04691, nw = 1651 120826.0026.ec.fits: ap = 105, w1 = 3650.517, w2 = 3573.615, dw = -0.04661, nw = 1651 120826.0026.ec.fits: ap = 106, w1 = 3627.422, w2 = 3551.008, dw = -0.04631, nw = 1651 120826.0026.ec.fits: ap = 107, w1 = 3604.618, w2 = 3528.686, dw = -0.04602, nw = 1651 120826.0026.ec.fits: ap = 108, w1 = 3582.098, w2 = 3506.644, dw = -0.04573, nw = 1651 120826.0026.ec.fits: ap = 109, w1 = 3559.859, w2 = 3484.875, dw = -0.04544, nw = 1651 120826.0026.ec.fits: ap = 110, w1 = 3537.894, w2 = 3463.375, dw = -0.04516, nw = 1651 120826.0026.ec.fits: ap = 111, w1 = 3516.199, w2 = 3442.139, dw = -0.04488, nw = 1651 120826.0026.ec.fits: ap = 112, w1 = 3494.769, w2 = 3421.163, dw = -0.04461, nw = 1651 120826.0026.ec.fits: ap = 113, w1 = 3473.598, w2 = 3400.44, dw = -0.04434, nw = 1651 120826.0026.ec.fits: ap = 114, w1 = 3452.683, w2 = 3379.968, dw = -0.04407, nw = 1651 120826.0026.ec.fits: ap = 115, w1 = 3432.018, w2 = 3359.74, dw = -0.0438, nw = 1651 120826.0027.ec.fits: REFSPEC1 = '120826.0009.ec 1.' 120826.0027.ec.fits: ap = 1, w1 = 10811.92, w2 = 10583.74, dw = -0.13829, nw = 1651 120826.0027.ec.fits: ap = 2, w1 = 10611.72, w2 = 10387.76, dw = -0.13573, nw = 1651 120826.0027.ec.fits: ap = 3, w1 = 10418.79, w2 = 10198.91, dw = -0.13326, nw = 1651 120826.0027.ec.fits: ap = 4, w1 = 10232.75, w2 = 10016.8, dw = -0.13088, nw = 1651 120826.0027.ec.fits: ap = 5, w1 = 10053.25, w2 = 9841.087, dw = -0.12858, nw = 1651 120826.0027.ec.fits: ap = 6, w1 = 9879.928, w2 = 9671.429, dw = -0.12636, nw = 1651 120826.0027.ec.fits: ap = 7, w1 = 9712.485, w2 = 9507.522, dw = -0.12422, nw = 1651 120826.0027.ec.fits: ap = 8, w1 = 9550.624, w2 = 9349.079, dw = -0.12215, nw = 1651 120826.0027.ec.fits: ap = 9, w1 = 9394.069, w2 = 9195.83, dw = -0.12014, nw = 1651 120826.0027.ec.fits: ap = 10, w1 = 9242.564, w2 = 9047.525, dw = -0.11821, nw = 1651 120826.0027.ec.fits: ap = 11, w1 = 9095.869, w2 = 8903.928, dw = -0.11633, nw = 1651 120826.0027.ec.fits: ap = 12, w1 = 8953.759, w2 = 8764.818, dw = -0.11451, nw = 1651 120826.0027.ec.fits: ap = 13, w1 = 8816.02, w2 = 8629.989, dw = -0.11275, nw = 1651 120826.0027.ec.fits: ap = 14, w1 = 8682.456, w2 = 8499.245, dw = -0.11104, nw = 1651 120826.0027.ec.fits: ap = 15, w1 = 8552.879, w2 = 8372.404, dw = -0.10938, nw = 1651 120826.0027.ec.fits: ap = 16, w1 = 8427.112, w2 = 8249.294, dw = -0.10777, nw = 1651 120826.0027.ec.fits: ap = 17, w1 = 8304.991, w2 = 8129.751, dw = -0.10621, nw = 1651 120826.0027.ec.fits: ap = 18, w1 = 8186.359, w2 = 8013.625, dw = -0.10469, nw = 1651 120826.0027.ec.fits: ap = 19, w1 = 8071.069, w2 = 7900.769, dw = -0.10321, nw = 1651 120826.0027.ec.fits: ap = 20, w1 = 7958.982, w2 = 7791.049, dw = -0.10178, nw = 1651 120826.0027.ec.fits: ap = 21, w1 = 7849.965, w2 = 7684.334, dw = -0.10038, nw = 1651 120826.0027.ec.fits: ap = 22, w1 = 7743.895, w2 = 7580.504, dw = -0.09902, nw = 1651 120826.0027.ec.fits: ap = 23, w1 = 7640.653, w2 = 7479.443, dw = -0.0977, nw = 1651 120826.0027.ec.fits: ap = 24, w1 = 7540.128, w2 = 7381.041, dw = -0.09642, nw = 1651 120826.0027.ec.fits: ap = 25, w1 = 7442.214, w2 = 7285.194, dw = -0.09516, nw = 1651 120826.0027.ec.fits: ap = 26, w1 = 7346.811, w2 = 7191.806, dw = -0.09394, nw = 1651 120826.0027.ec.fits: ap = 27, w1 = 7253.823, w2 = 7100.782, dw = -0.09275, nw = 1651 120826.0027.ec.fits: ap = 28, w1 = 7163.16, w2 = 7012.033, dw = -0.09159, nw = 1651 120826.0027.ec.fits: ap = 29, w1 = 7074.735, w2 = 6925.476, dw = -0.09046, nw = 1651 120826.0027.ec.fits: ap = 30, w1 = 6988.467, w2 = 6841.03, dw = -0.08936, nw = 1651 120826.0027.ec.fits: ap = 31, w1 = 6904.278, w2 = 6758.619, dw = -0.08828, nw = 1651 120826.0027.ec.fits: ap = 32, w1 = 6822.093, w2 = 6678.17, dw = -0.08723, nw = 1651 120826.0027.ec.fits: ap = 33, w1 = 6741.842, w2 = 6599.614, dw = -0.0862, nw = 1651 120826.0027.ec.fits: ap = 34, w1 = 6663.458, w2 = 6522.885, dw = -0.0852, nw = 1651 120826.0027.ec.fits: ap = 35, w1 = 6586.875, w2 = 6447.92, dw = -0.08422, nw = 1651 120826.0027.ec.fits: ap = 36, w1 = 6512.033, w2 = 6374.658, dw = -0.08326, nw = 1651 120826.0027.ec.fits: ap = 37, w1 = 6438.873, w2 = 6303.043, dw = -0.08232, nw = 1651 120826.0027.ec.fits: ap = 38, w1 = 6367.339, w2 = 6233.02, dw = -0.08141, nw = 1651 120826.0027.ec.fits: ap = 39, w1 = 6297.377, w2 = 6164.535, dw = -0.08051, nw = 1651 120826.0027.ec.fits: ap = 40, w1 = 6228.935, w2 = 6097.54, dw = -0.07963, nw = 1651 120826.0027.ec.fits: ap = 41, w1 = 6161.966, w2 = 6031.985, dw = -0.07878, nw = 1651 120826.0027.ec.fits: ap = 42, w1 = 6096.422, w2 = 5967.825, dw = -0.07794, nw = 1651 120826.0027.ec.fits: ap = 43, w1 = 6032.257, w2 = 5905.016, dw = -0.07712, nw = 1651 120826.0027.ec.fits: ap = 44, w1 = 5969.43, w2 = 5843.515, dw = -0.07631, nw = 1651 120826.0027.ec.fits: ap = 45, w1 = 5907.898, w2 = 5783.283, dw = -0.07552, nw = 1651 120826.0027.ec.fits: ap = 46, w1 = 5847.621, w2 = 5724.28, dw = -0.07475, nw = 1651 120826.0027.ec.fits: ap = 47, w1 = 5788.563, w2 = 5666.468, dw = -0.074, nw = 1651 120826.0027.ec.fits: ap = 48, w1 = 5730.685, w2 = 5609.814, dw = -0.07326, nw = 1651 120826.0027.ec.fits: ap = 49, w1 = 5673.954, w2 = 5554.281, dw = -0.07253, nw = 1651 120826.0027.ec.fits: ap = 50, w1 = 5618.335, w2 = 5499.837, dw = -0.07182, nw = 1651 120826.0027.ec.fits: ap = 51, w1 = 5563.796, w2 = 5446.45, dw = -0.07112, nw = 1651 120826.0027.ec.fits: ap = 52, w1 = 5510.306, w2 = 5394.09, dw = -0.07043, nw = 1651 120826.0027.ec.fits: ap = 53, w1 = 5457.835, w2 = 5342.728, dw = -0.06976, nw = 1651 120826.0027.ec.fits: ap = 54, w1 = 5406.355, w2 = 5292.334, dw = -0.0691, nw = 1651 120826.0027.ec.fits: ap = 55, w1 = 5355.836, w2 = 5242.883, dw = -0.06846, nw = 1651 120826.0027.ec.fits: ap = 56, w1 = 5306.253, w2 = 5194.348, dw = -0.06782, nw = 1651 120826.0027.ec.fits: ap = 57, w1 = 5257.58, w2 = 5146.703, dw = -0.0672, nw = 1651 120826.0027.ec.fits: ap = 58, w1 = 5209.792, w2 = 5099.924, dw = -0.06659, nw = 1651 120826.0027.ec.fits: ap = 59, w1 = 5162.865, w2 = 5053.989, dw = -0.06599, nw = 1651 120826.0027.ec.fits: ap = 60, w1 = 5116.776, w2 = 5008.874, dw = -0.0654, nw = 1651 120826.0027.ec.fits: ap = 61, w1 = 5071.503, w2 = 4964.557, dw = -0.06482, nw = 1651 120826.0027.ec.fits: ap = 62, w1 = 5027.024, w2 = 4921.018, dw = -0.06425, nw = 1651 120826.0027.ec.fits: ap = 63, w1 = 4983.319, w2 = 4878.237, dw = -0.06369, nw = 1651 120826.0027.ec.fits: ap = 64, w1 = 4940.367, w2 = 4836.193, dw = -0.06314, nw = 1651 120826.0027.ec.fits: ap = 65, w1 = 4898.15, w2 = 4794.867, dw = -0.0626, nw = 1651 120826.0027.ec.fits: ap = 66, w1 = 4856.648, w2 = 4754.243, dw = -0.06206, nw = 1651 120826.0027.ec.fits: ap = 67, w1 = 4815.844, w2 = 4714.301, dw = -0.06154, nw = 1651 120826.0027.ec.fits: ap = 68, w1 = 4775.72, w2 = 4675.025, dw = -0.06103, nw = 1651 120826.0027.ec.fits: ap = 69, w1 = 4736.26, w2 = 4636.398, dw = -0.06052, nw = 1651 120826.0027.ec.fits: ap = 70, w1 = 4697.446, w2 = 4598.405, dw = -0.06002, nw = 1651 120826.0027.ec.fits: ap = 71, w1 = 4659.264, w2 = 4561.03, dw = -0.05954, nw = 1651 120826.0027.ec.fits: ap = 72, w1 = 4621.697, w2 = 4524.257, dw = -0.05905, nw = 1651 120826.0027.ec.fits: ap = 73, w1 = 4584.732, w2 = 4488.073, dw = -0.05858, nw = 1651 120826.0027.ec.fits: ap = 74, w1 = 4548.353, w2 = 4452.463, dw = -0.05812, nw = 1651 120826.0027.ec.fits: ap = 75, w1 = 4512.548, w2 = 4417.415, dw = -0.05766, nw = 1651 120826.0027.ec.fits: ap = 76, w1 = 4477.302, w2 = 4382.914, dw = -0.0572, nw = 1651 120826.0027.ec.fits: ap = 77, w1 = 4442.602, w2 = 4348.948, dw = -0.05676, nw = 1651 120826.0027.ec.fits: ap = 78, w1 = 4408.437, w2 = 4315.504, dw = -0.05632, nw = 1651 120826.0027.ec.fits: ap = 79, w1 = 4374.793, w2 = 4282.572, dw = -0.05589, nw = 1651 120826.0027.ec.fits: ap = 80, w1 = 4341.659, w2 = 4250.138, dw = -0.05547, nw = 1651 120826.0027.ec.fits: ap = 81, w1 = 4309.023, w2 = 4218.193, dw = -0.05505, nw = 1651 120826.0027.ec.fits: ap = 82, w1 = 4276.875, w2 = 4186.724, dw = -0.05464, nw = 1651 120826.0027.ec.fits: ap = 83, w1 = 4245.203, w2 = 4155.721, dw = -0.05423, nw = 1651 120826.0027.ec.fits: ap = 84, w1 = 4213.996, w2 = 4125.175, dw = -0.05383, nw = 1651 120826.0027.ec.fits: ap = 85, w1 = 4183.246, w2 = 4095.075, dw = -0.05344, nw = 1651 120826.0027.ec.fits: ap = 86, w1 = 4152.941, w2 = 4065.411, dw = -0.05305, nw = 1651 120826.0027.ec.fits: ap = 87, w1 = 4123.072, w2 = 4036.174, dw = -0.05267, nw = 1651 120826.0027.ec.fits: ap = 88, w1 = 4093.63, w2 = 4007.354, dw = -0.05229, nw = 1651 120826.0027.ec.fits: ap = 89, w1 = 4064.606, w2 = 3978.944, dw = -0.05192, nw = 1651 120826.0027.ec.fits: ap = 90, w1 = 4035.991, w2 = 3950.934, dw = -0.05155, nw = 1651 120826.0027.ec.fits: ap = 91, w1 = 4007.776, w2 = 3923.316, dw = -0.05119, nw = 1651 120826.0027.ec.fits: ap = 92, w1 = 3979.953, w2 = 3896.081, dw = -0.05083, nw = 1651 120826.0027.ec.fits: ap = 93, w1 = 3952.514, w2 = 3869.222, dw = -0.05048, nw = 1651 120826.0027.ec.fits: ap = 94, w1 = 3925.451, w2 = 3842.732, dw = -0.05013, nw = 1651 120826.0027.ec.fits: ap = 95, w1 = 3898.756, w2 = 3816.602, dw = -0.04979, nw = 1651 120826.0027.ec.fits: ap = 96, w1 = 3872.422, w2 = 3790.825, dw = -0.04945, nw = 1651 120826.0027.ec.fits: ap = 97, w1 = 3846.442, w2 = 3765.394, dw = -0.04912, nw = 1651 120826.0027.ec.fits: ap = 98, w1 = 3820.808, w2 = 3740.302, dw = -0.04879, nw = 1651 120826.0027.ec.fits: ap = 99, w1 = 3795.514, w2 = 3715.543, dw = -0.04847, nw = 1651 120826.0027.ec.fits: ap = 100, w1 = 3770.552, w2 = 3691.11, dw = -0.04815, nw = 1651 120826.0027.ec.fits: ap = 101, w1 = 3745.917, w2 = 3666.996, dw = -0.04783, nw = 1651 120826.0027.ec.fits: ap = 102, w1 = 3721.603, w2 = 3643.196, dw = -0.04752, nw = 1651 120826.0027.ec.fits: ap = 103, w1 = 3697.602, w2 = 3619.703, dw = -0.04721, nw = 1651 120826.0027.ec.fits: ap = 104, w1 = 3673.908, w2 = 3596.511, dw = -0.04691, nw = 1651 120826.0027.ec.fits: ap = 105, w1 = 3650.517, w2 = 3573.615, dw = -0.04661, nw = 1651 120826.0027.ec.fits: ap = 106, w1 = 3627.422, w2 = 3551.008, dw = -0.04631, nw = 1651 120826.0027.ec.fits: ap = 107, w1 = 3604.618, w2 = 3528.686, dw = -0.04602, nw = 1651 120826.0027.ec.fits: ap = 108, w1 = 3582.098, w2 = 3506.644, dw = -0.04573, nw = 1651 120826.0027.ec.fits: ap = 109, w1 = 3559.859, w2 = 3484.875, dw = -0.04544, nw = 1651 120826.0027.ec.fits: ap = 110, w1 = 3537.894, w2 = 3463.375, dw = -0.04516, nw = 1651 120826.0027.ec.fits: ap = 111, w1 = 3516.199, w2 = 3442.139, dw = -0.04488, nw = 1651 120826.0027.ec.fits: ap = 112, w1 = 3494.769, w2 = 3421.163, dw = -0.04461, nw = 1651 120826.0027.ec.fits: ap = 113, w1 = 3473.598, w2 = 3400.44, dw = -0.04434, nw = 1651 120826.0027.ec.fits: ap = 114, w1 = 3452.683, w2 = 3379.968, dw = -0.04407, nw = 1651 120826.0027.ec.fits: ap = 115, w1 = 3432.018, w2 = 3359.74, dw = -0.0438, nw = 1651 120826.0028.ec.fits: REFSPEC1 = '120826.0009.ec 1.' 120826.0028.ec.fits: ap = 1, w1 = 10811.92, w2 = 10583.74, dw = -0.13829, nw = 1651 120826.0028.ec.fits: ap = 2, w1 = 10611.72, w2 = 10387.76, dw = -0.13573, nw = 1651 120826.0028.ec.fits: ap = 3, w1 = 10418.79, w2 = 10198.91, dw = -0.13326, nw = 1651 120826.0028.ec.fits: ap = 4, w1 = 10232.75, w2 = 10016.8, dw = -0.13088, nw = 1651 120826.0028.ec.fits: ap = 5, w1 = 10053.25, w2 = 9841.087, dw = -0.12858, nw = 1651 120826.0028.ec.fits: ap = 6, w1 = 9879.928, w2 = 9671.429, dw = -0.12636, nw = 1651 120826.0028.ec.fits: ap = 7, w1 = 9712.485, w2 = 9507.522, dw = -0.12422, nw = 1651 120826.0028.ec.fits: ap = 8, w1 = 9550.624, w2 = 9349.079, dw = -0.12215, nw = 1651 120826.0028.ec.fits: ap = 9, w1 = 9394.069, w2 = 9195.83, dw = -0.12014, nw = 1651 120826.0028.ec.fits: ap = 10, w1 = 9242.564, w2 = 9047.525, dw = -0.11821, nw = 1651 120826.0028.ec.fits: ap = 11, w1 = 9095.869, w2 = 8903.928, dw = -0.11633, nw = 1651 120826.0028.ec.fits: ap = 12, w1 = 8953.759, w2 = 8764.818, dw = -0.11451, nw = 1651 120826.0028.ec.fits: ap = 13, w1 = 8816.02, w2 = 8629.989, dw = -0.11275, nw = 1651 120826.0028.ec.fits: ap = 14, w1 = 8682.456, w2 = 8499.245, dw = -0.11104, nw = 1651 120826.0028.ec.fits: ap = 15, w1 = 8552.879, w2 = 8372.404, dw = -0.10938, nw = 1651 120826.0028.ec.fits: ap = 16, w1 = 8427.112, w2 = 8249.294, dw = -0.10777, nw = 1651 120826.0028.ec.fits: ap = 17, w1 = 8304.991, w2 = 8129.751, dw = -0.10621, nw = 1651 120826.0028.ec.fits: ap = 18, w1 = 8186.359, w2 = 8013.625, dw = -0.10469, nw = 1651 120826.0028.ec.fits: ap = 19, w1 = 8071.069, w2 = 7900.769, dw = -0.10321, nw = 1651 120826.0028.ec.fits: ap = 20, w1 = 7958.982, w2 = 7791.049, dw = -0.10178, nw = 1651 120826.0028.ec.fits: ap = 21, w1 = 7849.965, w2 = 7684.334, dw = -0.10038, nw = 1651 120826.0028.ec.fits: ap = 22, w1 = 7743.895, w2 = 7580.504, dw = -0.09902, nw = 1651 120826.0028.ec.fits: ap = 23, w1 = 7640.653, w2 = 7479.443, dw = -0.0977, nw = 1651 120826.0028.ec.fits: ap = 24, w1 = 7540.128, w2 = 7381.041, dw = -0.09642, nw = 1651 120826.0028.ec.fits: ap = 25, w1 = 7442.214, w2 = 7285.194, dw = -0.09516, nw = 1651 120826.0028.ec.fits: ap = 26, w1 = 7346.811, w2 = 7191.806, dw = -0.09394, nw = 1651 120826.0028.ec.fits: ap = 27, w1 = 7253.823, w2 = 7100.782, dw = -0.09275, nw = 1651 120826.0028.ec.fits: ap = 28, w1 = 7163.16, w2 = 7012.033, dw = -0.09159, nw = 1651 120826.0028.ec.fits: ap = 29, w1 = 7074.735, w2 = 6925.476, dw = -0.09046, nw = 1651 120826.0028.ec.fits: ap = 30, w1 = 6988.467, w2 = 6841.03, dw = -0.08936, nw = 1651 120826.0028.ec.fits: ap = 31, w1 = 6904.278, w2 = 6758.619, dw = -0.08828, nw = 1651 120826.0028.ec.fits: ap = 32, w1 = 6822.093, w2 = 6678.17, dw = -0.08723, nw = 1651 120826.0028.ec.fits: ap = 33, w1 = 6741.842, w2 = 6599.614, dw = -0.0862, nw = 1651 120826.0028.ec.fits: ap = 34, w1 = 6663.458, w2 = 6522.885, dw = -0.0852, nw = 1651 120826.0028.ec.fits: ap = 35, w1 = 6586.875, w2 = 6447.92, dw = -0.08422, nw = 1651 120826.0028.ec.fits: ap = 36, w1 = 6512.033, w2 = 6374.658, dw = -0.08326, nw = 1651 120826.0028.ec.fits: ap = 37, w1 = 6438.873, w2 = 6303.043, dw = -0.08232, nw = 1651 120826.0028.ec.fits: ap = 38, w1 = 6367.339, w2 = 6233.02, dw = -0.08141, nw = 1651 120826.0028.ec.fits: ap = 39, w1 = 6297.377, w2 = 6164.535, dw = -0.08051, nw = 1651 120826.0028.ec.fits: ap = 40, w1 = 6228.935, w2 = 6097.54, dw = -0.07963, nw = 1651 120826.0028.ec.fits: ap = 41, w1 = 6161.966, w2 = 6031.985, dw = -0.07878, nw = 1651 120826.0028.ec.fits: ap = 42, w1 = 6096.422, w2 = 5967.825, dw = -0.07794, nw = 1651 120826.0028.ec.fits: ap = 43, w1 = 6032.257, w2 = 5905.016, dw = -0.07712, nw = 1651 120826.0028.ec.fits: ap = 44, w1 = 5969.43, w2 = 5843.515, dw = -0.07631, nw = 1651 120826.0028.ec.fits: ap = 45, w1 = 5907.898, w2 = 5783.283, dw = -0.07552, nw = 1651 120826.0028.ec.fits: ap = 46, w1 = 5847.621, w2 = 5724.28, dw = -0.07475, nw = 1651 120826.0028.ec.fits: ap = 47, w1 = 5788.563, w2 = 5666.468, dw = -0.074, nw = 1651 120826.0028.ec.fits: ap = 48, w1 = 5730.685, w2 = 5609.814, dw = -0.07326, nw = 1651 120826.0028.ec.fits: ap = 49, w1 = 5673.954, w2 = 5554.281, dw = -0.07253, nw = 1651 120826.0028.ec.fits: ap = 50, w1 = 5618.335, w2 = 5499.837, dw = -0.07182, nw = 1651 120826.0028.ec.fits: ap = 51, w1 = 5563.796, w2 = 5446.45, dw = -0.07112, nw = 1651 120826.0028.ec.fits: ap = 52, w1 = 5510.306, w2 = 5394.09, dw = -0.07043, nw = 1651 120826.0028.ec.fits: ap = 53, w1 = 5457.835, w2 = 5342.728, dw = -0.06976, nw = 1651 120826.0028.ec.fits: ap = 54, w1 = 5406.355, w2 = 5292.334, dw = -0.0691, nw = 1651 120826.0028.ec.fits: ap = 55, w1 = 5355.836, w2 = 5242.883, dw = -0.06846, nw = 1651 120826.0028.ec.fits: ap = 56, w1 = 5306.253, w2 = 5194.348, dw = -0.06782, nw = 1651 120826.0028.ec.fits: ap = 57, w1 = 5257.58, w2 = 5146.703, dw = -0.0672, nw = 1651 120826.0028.ec.fits: ap = 58, w1 = 5209.792, w2 = 5099.924, dw = -0.06659, nw = 1651 120826.0028.ec.fits: ap = 59, w1 = 5162.865, w2 = 5053.989, dw = -0.06599, nw = 1651 120826.0028.ec.fits: ap = 60, w1 = 5116.776, w2 = 5008.874, dw = -0.0654, nw = 1651 120826.0028.ec.fits: ap = 61, w1 = 5071.503, w2 = 4964.557, dw = -0.06482, nw = 1651 120826.0028.ec.fits: ap = 62, w1 = 5027.024, w2 = 4921.018, dw = -0.06425, nw = 1651 120826.0028.ec.fits: ap = 63, w1 = 4983.319, w2 = 4878.237, dw = -0.06369, nw = 1651 120826.0028.ec.fits: ap = 64, w1 = 4940.367, w2 = 4836.193, dw = -0.06314, nw = 1651 120826.0028.ec.fits: ap = 65, w1 = 4898.15, w2 = 4794.867, dw = -0.0626, nw = 1651 120826.0028.ec.fits: ap = 66, w1 = 4856.648, w2 = 4754.243, dw = -0.06206, nw = 1651 120826.0028.ec.fits: ap = 67, w1 = 4815.844, w2 = 4714.301, dw = -0.06154, nw = 1651 120826.0028.ec.fits: ap = 68, w1 = 4775.72, w2 = 4675.025, dw = -0.06103, nw = 1651 120826.0028.ec.fits: ap = 69, w1 = 4736.26, w2 = 4636.398, dw = -0.06052, nw = 1651 120826.0028.ec.fits: ap = 70, w1 = 4697.446, w2 = 4598.405, dw = -0.06002, nw = 1651 120826.0028.ec.fits: ap = 71, w1 = 4659.264, w2 = 4561.03, dw = -0.05954, nw = 1651 120826.0028.ec.fits: ap = 72, w1 = 4621.697, w2 = 4524.257, dw = -0.05905, nw = 1651 120826.0028.ec.fits: ap = 73, w1 = 4584.732, w2 = 4488.073, dw = -0.05858, nw = 1651 120826.0028.ec.fits: ap = 74, w1 = 4548.353, w2 = 4452.463, dw = -0.05812, nw = 1651 120826.0028.ec.fits: ap = 75, w1 = 4512.548, w2 = 4417.415, dw = -0.05766, nw = 1651 120826.0028.ec.fits: ap = 76, w1 = 4477.302, w2 = 4382.914, dw = -0.0572, nw = 1651 120826.0028.ec.fits: ap = 77, w1 = 4442.602, w2 = 4348.948, dw = -0.05676, nw = 1651 120826.0028.ec.fits: ap = 78, w1 = 4408.437, w2 = 4315.504, dw = -0.05632, nw = 1651 120826.0028.ec.fits: ap = 79, w1 = 4374.793, w2 = 4282.572, dw = -0.05589, nw = 1651 120826.0028.ec.fits: ap = 80, w1 = 4341.659, w2 = 4250.138, dw = -0.05547, nw = 1651 120826.0028.ec.fits: ap = 81, w1 = 4309.023, w2 = 4218.193, dw = -0.05505, nw = 1651 120826.0028.ec.fits: ap = 82, w1 = 4276.875, w2 = 4186.724, dw = -0.05464, nw = 1651 120826.0028.ec.fits: ap = 83, w1 = 4245.203, w2 = 4155.721, dw = -0.05423, nw = 1651 120826.0028.ec.fits: ap = 84, w1 = 4213.996, w2 = 4125.175, dw = -0.05383, nw = 1651 120826.0028.ec.fits: ap = 85, w1 = 4183.246, w2 = 4095.075, dw = -0.05344, nw = 1651 120826.0028.ec.fits: ap = 86, w1 = 4152.941, w2 = 4065.411, dw = -0.05305, nw = 1651 120826.0028.ec.fits: ap = 87, w1 = 4123.072, w2 = 4036.174, dw = -0.05267, nw = 1651 120826.0028.ec.fits: ap = 88, w1 = 4093.63, w2 = 4007.354, dw = -0.05229, nw = 1651 120826.0028.ec.fits: ap = 89, w1 = 4064.606, w2 = 3978.944, dw = -0.05192, nw = 1651 120826.0028.ec.fits: ap = 90, w1 = 4035.991, w2 = 3950.934, dw = -0.05155, nw = 1651 120826.0028.ec.fits: ap = 91, w1 = 4007.776, w2 = 3923.316, dw = -0.05119, nw = 1651 120826.0028.ec.fits: ap = 92, w1 = 3979.953, w2 = 3896.081, dw = -0.05083, nw = 1651 120826.0028.ec.fits: ap = 93, w1 = 3952.514, w2 = 3869.222, dw = -0.05048, nw = 1651 120826.0028.ec.fits: ap = 94, w1 = 3925.451, w2 = 3842.732, dw = -0.05013, nw = 1651 120826.0028.ec.fits: ap = 95, w1 = 3898.756, w2 = 3816.602, dw = -0.04979, nw = 1651 120826.0028.ec.fits: ap = 96, w1 = 3872.422, w2 = 3790.825, dw = -0.04945, nw = 1651 120826.0028.ec.fits: ap = 97, w1 = 3846.442, w2 = 3765.394, dw = -0.04912, nw = 1651 120826.0028.ec.fits: ap = 98, w1 = 3820.808, w2 = 3740.302, dw = -0.04879, nw = 1651 120826.0028.ec.fits: ap = 99, w1 = 3795.514, w2 = 3715.543, dw = -0.04847, nw = 1651 120826.0028.ec.fits: ap = 100, w1 = 3770.552, w2 = 3691.11, dw = -0.04815, nw = 1651 120826.0028.ec.fits: ap = 101, w1 = 3745.917, w2 = 3666.996, dw = -0.04783, nw = 1651 120826.0028.ec.fits: ap = 102, w1 = 3721.603, w2 = 3643.196, dw = -0.04752, nw = 1651 120826.0028.ec.fits: ap = 103, w1 = 3697.602, w2 = 3619.703, dw = -0.04721, nw = 1651 120826.0028.ec.fits: ap = 104, w1 = 3673.908, w2 = 3596.511, dw = -0.04691, nw = 1651 120826.0028.ec.fits: ap = 105, w1 = 3650.517, w2 = 3573.615, dw = -0.04661, nw = 1651 120826.0028.ec.fits: ap = 106, w1 = 3627.422, w2 = 3551.008, dw = -0.04631, nw = 1651 120826.0028.ec.fits: ap = 107, w1 = 3604.618, w2 = 3528.686, dw = -0.04602, nw = 1651 120826.0028.ec.fits: ap = 108, w1 = 3582.098, w2 = 3506.644, dw = -0.04573, nw = 1651 120826.0028.ec.fits: ap = 109, w1 = 3559.859, w2 = 3484.875, dw = -0.04544, nw = 1651 120826.0028.ec.fits: ap = 110, w1 = 3537.894, w2 = 3463.375, dw = -0.04516, nw = 1651 120826.0028.ec.fits: ap = 111, w1 = 3516.199, w2 = 3442.139, dw = -0.04488, nw = 1651 120826.0028.ec.fits: ap = 112, w1 = 3494.769, w2 = 3421.163, dw = -0.04461, nw = 1651 120826.0028.ec.fits: ap = 113, w1 = 3473.598, w2 = 3400.44, dw = -0.04434, nw = 1651 120826.0028.ec.fits: ap = 114, w1 = 3452.683, w2 = 3379.968, dw = -0.04407, nw = 1651 120826.0028.ec.fits: ap = 115, w1 = 3432.018, w2 = 3359.74, dw = -0.0438, nw = 1651 120826.0029.ec.fits: REFSPEC1 = '120826.0009.ec 1.' 120826.0029.ec.fits: ap = 1, w1 = 10811.92, w2 = 10583.74, dw = -0.13829, nw = 1651 120826.0029.ec.fits: ap = 2, w1 = 10611.72, w2 = 10387.76, dw = -0.13573, nw = 1651 120826.0029.ec.fits: ap = 3, w1 = 10418.79, w2 = 10198.91, dw = -0.13326, nw = 1651 120826.0029.ec.fits: ap = 4, w1 = 10232.75, w2 = 10016.8, dw = -0.13088, nw = 1651 120826.0029.ec.fits: ap = 5, w1 = 10053.25, w2 = 9841.087, dw = -0.12858, nw = 1651 120826.0029.ec.fits: ap = 6, w1 = 9879.928, w2 = 9671.429, dw = -0.12636, nw = 1651 120826.0029.ec.fits: ap = 7, w1 = 9712.485, w2 = 9507.522, dw = -0.12422, nw = 1651 120826.0029.ec.fits: ap = 8, w1 = 9550.624, w2 = 9349.079, dw = -0.12215, nw = 1651 120826.0029.ec.fits: ap = 9, w1 = 9394.069, w2 = 9195.83, dw = -0.12014, nw = 1651 120826.0029.ec.fits: ap = 10, w1 = 9242.564, w2 = 9047.525, dw = -0.11821, nw = 1651 120826.0029.ec.fits: ap = 11, w1 = 9095.869, w2 = 8903.928, dw = -0.11633, nw = 1651 120826.0029.ec.fits: ap = 12, w1 = 8953.759, w2 = 8764.818, dw = -0.11451, nw = 1651 120826.0029.ec.fits: ap = 13, w1 = 8816.02, w2 = 8629.989, dw = -0.11275, nw = 1651 120826.0029.ec.fits: ap = 14, w1 = 8682.456, w2 = 8499.245, dw = -0.11104, nw = 1651 120826.0029.ec.fits: ap = 15, w1 = 8552.879, w2 = 8372.404, dw = -0.10938, nw = 1651 120826.0029.ec.fits: ap = 16, w1 = 8427.112, w2 = 8249.294, dw = -0.10777, nw = 1651 120826.0029.ec.fits: ap = 17, w1 = 8304.991, w2 = 8129.751, dw = -0.10621, nw = 1651 120826.0029.ec.fits: ap = 18, w1 = 8186.359, w2 = 8013.625, dw = -0.10469, nw = 1651 120826.0029.ec.fits: ap = 19, w1 = 8071.069, w2 = 7900.769, dw = -0.10321, nw = 1651 120826.0029.ec.fits: ap = 20, w1 = 7958.982, w2 = 7791.049, dw = -0.10178, nw = 1651 120826.0029.ec.fits: ap = 21, w1 = 7849.965, w2 = 7684.334, dw = -0.10038, nw = 1651 120826.0029.ec.fits: ap = 22, w1 = 7743.895, w2 = 7580.504, dw = -0.09902, nw = 1651 120826.0029.ec.fits: ap = 23, w1 = 7640.653, w2 = 7479.443, dw = -0.0977, nw = 1651 120826.0029.ec.fits: ap = 24, w1 = 7540.128, w2 = 7381.041, dw = -0.09642, nw = 1651 120826.0029.ec.fits: ap = 25, w1 = 7442.214, w2 = 7285.194, dw = -0.09516, nw = 1651 120826.0029.ec.fits: ap = 26, w1 = 7346.811, w2 = 7191.806, dw = -0.09394, nw = 1651 120826.0029.ec.fits: ap = 27, w1 = 7253.823, w2 = 7100.782, dw = -0.09275, nw = 1651 120826.0029.ec.fits: ap = 28, w1 = 7163.16, w2 = 7012.033, dw = -0.09159, nw = 1651 120826.0029.ec.fits: ap = 29, w1 = 7074.735, w2 = 6925.476, dw = -0.09046, nw = 1651 120826.0029.ec.fits: ap = 30, w1 = 6988.467, w2 = 6841.03, dw = -0.08936, nw = 1651 120826.0029.ec.fits: ap = 31, w1 = 6904.278, w2 = 6758.619, dw = -0.08828, nw = 1651 120826.0029.ec.fits: ap = 32, w1 = 6822.093, w2 = 6678.17, dw = -0.08723, nw = 1651 120826.0029.ec.fits: ap = 33, w1 = 6741.842, w2 = 6599.614, dw = -0.0862, nw = 1651 120826.0029.ec.fits: ap = 34, w1 = 6663.458, w2 = 6522.885, dw = -0.0852, nw = 1651 120826.0029.ec.fits: ap = 35, w1 = 6586.875, w2 = 6447.92, dw = -0.08422, nw = 1651 120826.0029.ec.fits: ap = 36, w1 = 6512.033, w2 = 6374.658, dw = -0.08326, nw = 1651 120826.0029.ec.fits: ap = 37, w1 = 6438.873, w2 = 6303.043, dw = -0.08232, nw = 1651 120826.0029.ec.fits: ap = 38, w1 = 6367.339, w2 = 6233.02, dw = -0.08141, nw = 1651 120826.0029.ec.fits: ap = 39, w1 = 6297.377, w2 = 6164.535, dw = -0.08051, nw = 1651 120826.0029.ec.fits: ap = 40, w1 = 6228.935, w2 = 6097.54, dw = -0.07963, nw = 1651 120826.0029.ec.fits: ap = 41, w1 = 6161.966, w2 = 6031.985, dw = -0.07878, nw = 1651 120826.0029.ec.fits: ap = 42, w1 = 6096.422, w2 = 5967.825, dw = -0.07794, nw = 1651 120826.0029.ec.fits: ap = 43, w1 = 6032.257, w2 = 5905.016, dw = -0.07712, nw = 1651 120826.0029.ec.fits: ap = 44, w1 = 5969.43, w2 = 5843.515, dw = -0.07631, nw = 1651 120826.0029.ec.fits: ap = 45, w1 = 5907.898, w2 = 5783.283, dw = -0.07552, nw = 1651 120826.0029.ec.fits: ap = 46, w1 = 5847.621, w2 = 5724.28, dw = -0.07475, nw = 1651 120826.0029.ec.fits: ap = 47, w1 = 5788.563, w2 = 5666.468, dw = -0.074, nw = 1651 120826.0029.ec.fits: ap = 48, w1 = 5730.685, w2 = 5609.814, dw = -0.07326, nw = 1651 120826.0029.ec.fits: ap = 49, w1 = 5673.954, w2 = 5554.281, dw = -0.07253, nw = 1651 120826.0029.ec.fits: ap = 50, w1 = 5618.335, w2 = 5499.837, dw = -0.07182, nw = 1651 120826.0029.ec.fits: ap = 51, w1 = 5563.796, w2 = 5446.45, dw = -0.07112, nw = 1651 120826.0029.ec.fits: ap = 52, w1 = 5510.306, w2 = 5394.09, dw = -0.07043, nw = 1651 120826.0029.ec.fits: ap = 53, w1 = 5457.835, w2 = 5342.728, dw = -0.06976, nw = 1651 120826.0029.ec.fits: ap = 54, w1 = 5406.355, w2 = 5292.334, dw = -0.0691, nw = 1651 120826.0029.ec.fits: ap = 55, w1 = 5355.836, w2 = 5242.883, dw = -0.06846, nw = 1651 120826.0029.ec.fits: ap = 56, w1 = 5306.253, w2 = 5194.348, dw = -0.06782, nw = 1651 120826.0029.ec.fits: ap = 57, w1 = 5257.58, w2 = 5146.703, dw = -0.0672, nw = 1651 120826.0029.ec.fits: ap = 58, w1 = 5209.792, w2 = 5099.924, dw = -0.06659, nw = 1651 120826.0029.ec.fits: ap = 59, w1 = 5162.865, w2 = 5053.989, dw = -0.06599, nw = 1651 120826.0029.ec.fits: ap = 60, w1 = 5116.776, w2 = 5008.874, dw = -0.0654, nw = 1651 120826.0029.ec.fits: ap = 61, w1 = 5071.503, w2 = 4964.557, dw = -0.06482, nw = 1651 120826.0029.ec.fits: ap = 62, w1 = 5027.024, w2 = 4921.018, dw = -0.06425, nw = 1651 120826.0029.ec.fits: ap = 63, w1 = 4983.319, w2 = 4878.237, dw = -0.06369, nw = 1651 120826.0029.ec.fits: ap = 64, w1 = 4940.367, w2 = 4836.193, dw = -0.06314, nw = 1651 120826.0029.ec.fits: ap = 65, w1 = 4898.15, w2 = 4794.867, dw = -0.0626, nw = 1651 120826.0029.ec.fits: ap = 66, w1 = 4856.648, w2 = 4754.243, dw = -0.06206, nw = 1651 120826.0029.ec.fits: ap = 67, w1 = 4815.844, w2 = 4714.301, dw = -0.06154, nw = 1651 120826.0029.ec.fits: ap = 68, w1 = 4775.72, w2 = 4675.025, dw = -0.06103, nw = 1651 120826.0029.ec.fits: ap = 69, w1 = 4736.26, w2 = 4636.398, dw = -0.06052, nw = 1651 120826.0029.ec.fits: ap = 70, w1 = 4697.446, w2 = 4598.405, dw = -0.06002, nw = 1651 120826.0029.ec.fits: ap = 71, w1 = 4659.264, w2 = 4561.03, dw = -0.05954, nw = 1651 120826.0029.ec.fits: ap = 72, w1 = 4621.697, w2 = 4524.257, dw = -0.05905, nw = 1651 120826.0029.ec.fits: ap = 73, w1 = 4584.732, w2 = 4488.073, dw = -0.05858, nw = 1651 120826.0029.ec.fits: ap = 74, w1 = 4548.353, w2 = 4452.463, dw = -0.05812, nw = 1651 120826.0029.ec.fits: ap = 75, w1 = 4512.548, w2 = 4417.415, dw = -0.05766, nw = 1651 120826.0029.ec.fits: ap = 76, w1 = 4477.302, w2 = 4382.914, dw = -0.0572, nw = 1651 120826.0029.ec.fits: ap = 77, w1 = 4442.602, w2 = 4348.948, dw = -0.05676, nw = 1651 120826.0029.ec.fits: ap = 78, w1 = 4408.437, w2 = 4315.504, dw = -0.05632, nw = 1651 120826.0029.ec.fits: ap = 79, w1 = 4374.793, w2 = 4282.572, dw = -0.05589, nw = 1651 120826.0029.ec.fits: ap = 80, w1 = 4341.659, w2 = 4250.138, dw = -0.05547, nw = 1651 120826.0029.ec.fits: ap = 81, w1 = 4309.023, w2 = 4218.193, dw = -0.05505, nw = 1651 120826.0029.ec.fits: ap = 82, w1 = 4276.875, w2 = 4186.724, dw = -0.05464, nw = 1651 120826.0029.ec.fits: ap = 83, w1 = 4245.203, w2 = 4155.721, dw = -0.05423, nw = 1651 120826.0029.ec.fits: ap = 84, w1 = 4213.996, w2 = 4125.175, dw = -0.05383, nw = 1651 120826.0029.ec.fits: ap = 85, w1 = 4183.246, w2 = 4095.075, dw = -0.05344, nw = 1651 120826.0029.ec.fits: ap = 86, w1 = 4152.941, w2 = 4065.411, dw = -0.05305, nw = 1651 120826.0029.ec.fits: ap = 87, w1 = 4123.072, w2 = 4036.174, dw = -0.05267, nw = 1651 120826.0029.ec.fits: ap = 88, w1 = 4093.63, w2 = 4007.354, dw = -0.05229, nw = 1651 120826.0029.ec.fits: ap = 89, w1 = 4064.606, w2 = 3978.944, dw = -0.05192, nw = 1651 120826.0029.ec.fits: ap = 90, w1 = 4035.991, w2 = 3950.934, dw = -0.05155, nw = 1651 120826.0029.ec.fits: ap = 91, w1 = 4007.776, w2 = 3923.316, dw = -0.05119, nw = 1651 120826.0029.ec.fits: ap = 92, w1 = 3979.953, w2 = 3896.081, dw = -0.05083, nw = 1651 120826.0029.ec.fits: ap = 93, w1 = 3952.514, w2 = 3869.222, dw = -0.05048, nw = 1651 120826.0029.ec.fits: ap = 94, w1 = 3925.451, w2 = 3842.732, dw = -0.05013, nw = 1651 120826.0029.ec.fits: ap = 95, w1 = 3898.756, w2 = 3816.602, dw = -0.04979, nw = 1651 120826.0029.ec.fits: ap = 96, w1 = 3872.422, w2 = 3790.825, dw = -0.04945, nw = 1651 120826.0029.ec.fits: ap = 97, w1 = 3846.442, w2 = 3765.394, dw = -0.04912, nw = 1651 120826.0029.ec.fits: ap = 98, w1 = 3820.808, w2 = 3740.302, dw = -0.04879, nw = 1651 120826.0029.ec.fits: ap = 99, w1 = 3795.514, w2 = 3715.543, dw = -0.04847, nw = 1651 120826.0029.ec.fits: ap = 100, w1 = 3770.552, w2 = 3691.11, dw = -0.04815, nw = 1651 120826.0029.ec.fits: ap = 101, w1 = 3745.917, w2 = 3666.996, dw = -0.04783, nw = 1651 120826.0029.ec.fits: ap = 102, w1 = 3721.603, w2 = 3643.196, dw = -0.04752, nw = 1651 120826.0029.ec.fits: ap = 103, w1 = 3697.602, w2 = 3619.703, dw = -0.04721, nw = 1651 120826.0029.ec.fits: ap = 104, w1 = 3673.908, w2 = 3596.511, dw = -0.04691, nw = 1651 120826.0029.ec.fits: ap = 105, w1 = 3650.517, w2 = 3573.615, dw = -0.04661, nw = 1651 120826.0029.ec.fits: ap = 106, w1 = 3627.422, w2 = 3551.008, dw = -0.04631, nw = 1651 120826.0029.ec.fits: ap = 107, w1 = 3604.618, w2 = 3528.686, dw = -0.04602, nw = 1651 120826.0029.ec.fits: ap = 108, w1 = 3582.098, w2 = 3506.644, dw = -0.04573, nw = 1651 120826.0029.ec.fits: ap = 109, w1 = 3559.859, w2 = 3484.875, dw = -0.04544, nw = 1651 120826.0029.ec.fits: ap = 110, w1 = 3537.894, w2 = 3463.375, dw = -0.04516, nw = 1651 120826.0029.ec.fits: ap = 111, w1 = 3516.199, w2 = 3442.139, dw = -0.04488, nw = 1651 120826.0029.ec.fits: ap = 112, w1 = 3494.769, w2 = 3421.163, dw = -0.04461, nw = 1651 120826.0029.ec.fits: ap = 113, w1 = 3473.598, w2 = 3400.44, dw = -0.04434, nw = 1651 120826.0029.ec.fits: ap = 114, w1 = 3452.683, w2 = 3379.968, dw = -0.04407, nw = 1651 120826.0029.ec.fits: ap = 115, w1 = 3432.018, w2 = 3359.74, dw = -0.0438, nw = 1651 120826.0030.ec.fits: REFSPEC1 = '120826.0009.ec 1.' 120826.0030.ec.fits: ap = 1, w1 = 10811.92, w2 = 10583.74, dw = -0.13829, nw = 1651 120826.0030.ec.fits: ap = 2, w1 = 10611.72, w2 = 10387.76, dw = -0.13573, nw = 1651 120826.0030.ec.fits: ap = 3, w1 = 10418.79, w2 = 10198.91, dw = -0.13326, nw = 1651 120826.0030.ec.fits: ap = 4, w1 = 10232.75, w2 = 10016.8, dw = -0.13088, nw = 1651 120826.0030.ec.fits: ap = 5, w1 = 10053.25, w2 = 9841.087, dw = -0.12858, nw = 1651 120826.0030.ec.fits: ap = 6, w1 = 9879.928, w2 = 9671.429, dw = -0.12636, nw = 1651 120826.0030.ec.fits: ap = 7, w1 = 9712.485, w2 = 9507.522, dw = -0.12422, nw = 1651 120826.0030.ec.fits: ap = 8, w1 = 9550.624, w2 = 9349.079, dw = -0.12215, nw = 1651 120826.0030.ec.fits: ap = 9, w1 = 9394.069, w2 = 9195.83, dw = -0.12014, nw = 1651 120826.0030.ec.fits: ap = 10, w1 = 9242.564, w2 = 9047.525, dw = -0.11821, nw = 1651 120826.0030.ec.fits: ap = 11, w1 = 9095.869, w2 = 8903.928, dw = -0.11633, nw = 1651 120826.0030.ec.fits: ap = 12, w1 = 8953.759, w2 = 8764.818, dw = -0.11451, nw = 1651 120826.0030.ec.fits: ap = 13, w1 = 8816.02, w2 = 8629.989, dw = -0.11275, nw = 1651 120826.0030.ec.fits: ap = 14, w1 = 8682.456, w2 = 8499.245, dw = -0.11104, nw = 1651 120826.0030.ec.fits: ap = 15, w1 = 8552.879, w2 = 8372.404, dw = -0.10938, nw = 1651 120826.0030.ec.fits: ap = 16, w1 = 8427.112, w2 = 8249.294, dw = -0.10777, nw = 1651 120826.0030.ec.fits: ap = 17, w1 = 8304.991, w2 = 8129.751, dw = -0.10621, nw = 1651 120826.0030.ec.fits: ap = 18, w1 = 8186.359, w2 = 8013.625, dw = -0.10469, nw = 1651 120826.0030.ec.fits: ap = 19, w1 = 8071.069, w2 = 7900.769, dw = -0.10321, nw = 1651 120826.0030.ec.fits: ap = 20, w1 = 7958.982, w2 = 7791.049, dw = -0.10178, nw = 1651 120826.0030.ec.fits: ap = 21, w1 = 7849.965, w2 = 7684.334, dw = -0.10038, nw = 1651 120826.0030.ec.fits: ap = 22, w1 = 7743.895, w2 = 7580.504, dw = -0.09902, nw = 1651 120826.0030.ec.fits: ap = 23, w1 = 7640.653, w2 = 7479.443, dw = -0.0977, nw = 1651 120826.0030.ec.fits: ap = 24, w1 = 7540.128, w2 = 7381.041, dw = -0.09642, nw = 1651 120826.0030.ec.fits: ap = 25, w1 = 7442.214, w2 = 7285.194, dw = -0.09516, nw = 1651 120826.0030.ec.fits: ap = 26, w1 = 7346.811, w2 = 7191.806, dw = -0.09394, nw = 1651 120826.0030.ec.fits: ap = 27, w1 = 7253.823, w2 = 7100.782, dw = -0.09275, nw = 1651 120826.0030.ec.fits: ap = 28, w1 = 7163.16, w2 = 7012.033, dw = -0.09159, nw = 1651 120826.0030.ec.fits: ap = 29, w1 = 7074.735, w2 = 6925.476, dw = -0.09046, nw = 1651 120826.0030.ec.fits: ap = 30, w1 = 6988.467, w2 = 6841.03, dw = -0.08936, nw = 1651 120826.0030.ec.fits: ap = 31, w1 = 6904.278, w2 = 6758.619, dw = -0.08828, nw = 1651 120826.0030.ec.fits: ap = 32, w1 = 6822.093, w2 = 6678.17, dw = -0.08723, nw = 1651 120826.0030.ec.fits: ap = 33, w1 = 6741.842, w2 = 6599.614, dw = -0.0862, nw = 1651 120826.0030.ec.fits: ap = 34, w1 = 6663.458, w2 = 6522.885, dw = -0.0852, nw = 1651 120826.0030.ec.fits: ap = 35, w1 = 6586.875, w2 = 6447.92, dw = -0.08422, nw = 1651 120826.0030.ec.fits: ap = 36, w1 = 6512.033, w2 = 6374.658, dw = -0.08326, nw = 1651 120826.0030.ec.fits: ap = 37, w1 = 6438.873, w2 = 6303.043, dw = -0.08232, nw = 1651 120826.0030.ec.fits: ap = 38, w1 = 6367.339, w2 = 6233.02, dw = -0.08141, nw = 1651 120826.0030.ec.fits: ap = 39, w1 = 6297.377, w2 = 6164.535, dw = -0.08051, nw = 1651 120826.0030.ec.fits: ap = 40, w1 = 6228.935, w2 = 6097.54, dw = -0.07963, nw = 1651 120826.0030.ec.fits: ap = 41, w1 = 6161.966, w2 = 6031.985, dw = -0.07878, nw = 1651 120826.0030.ec.fits: ap = 42, w1 = 6096.422, w2 = 5967.825, dw = -0.07794, nw = 1651 120826.0030.ec.fits: ap = 43, w1 = 6032.257, w2 = 5905.016, dw = -0.07712, nw = 1651 120826.0030.ec.fits: ap = 44, w1 = 5969.43, w2 = 5843.515, dw = -0.07631, nw = 1651 120826.0030.ec.fits: ap = 45, w1 = 5907.898, w2 = 5783.283, dw = -0.07552, nw = 1651 120826.0030.ec.fits: ap = 46, w1 = 5847.621, w2 = 5724.28, dw = -0.07475, nw = 1651 120826.0030.ec.fits: ap = 47, w1 = 5788.563, w2 = 5666.468, dw = -0.074, nw = 1651 120826.0030.ec.fits: ap = 48, w1 = 5730.685, w2 = 5609.814, dw = -0.07326, nw = 1651 120826.0030.ec.fits: ap = 49, w1 = 5673.954, w2 = 5554.281, dw = -0.07253, nw = 1651 120826.0030.ec.fits: ap = 50, w1 = 5618.335, w2 = 5499.837, dw = -0.07182, nw = 1651 120826.0030.ec.fits: ap = 51, w1 = 5563.796, w2 = 5446.45, dw = -0.07112, nw = 1651 120826.0030.ec.fits: ap = 52, w1 = 5510.306, w2 = 5394.09, dw = -0.07043, nw = 1651 120826.0030.ec.fits: ap = 53, w1 = 5457.835, w2 = 5342.728, dw = -0.06976, nw = 1651 120826.0030.ec.fits: ap = 54, w1 = 5406.355, w2 = 5292.334, dw = -0.0691, nw = 1651 120826.0030.ec.fits: ap = 55, w1 = 5355.836, w2 = 5242.883, dw = -0.06846, nw = 1651 120826.0030.ec.fits: ap = 56, w1 = 5306.253, w2 = 5194.348, dw = -0.06782, nw = 1651 120826.0030.ec.fits: ap = 57, w1 = 5257.58, w2 = 5146.703, dw = -0.0672, nw = 1651 120826.0030.ec.fits: ap = 58, w1 = 5209.792, w2 = 5099.924, dw = -0.06659, nw = 1651 120826.0030.ec.fits: ap = 59, w1 = 5162.865, w2 = 5053.989, dw = -0.06599, nw = 1651 120826.0030.ec.fits: ap = 60, w1 = 5116.776, w2 = 5008.874, dw = -0.0654, nw = 1651 120826.0030.ec.fits: ap = 61, w1 = 5071.503, w2 = 4964.557, dw = -0.06482, nw = 1651 120826.0030.ec.fits: ap = 62, w1 = 5027.024, w2 = 4921.018, dw = -0.06425, nw = 1651 120826.0030.ec.fits: ap = 63, w1 = 4983.319, w2 = 4878.237, dw = -0.06369, nw = 1651 120826.0030.ec.fits: ap = 64, w1 = 4940.367, w2 = 4836.193, dw = -0.06314, nw = 1651 120826.0030.ec.fits: ap = 65, w1 = 4898.15, w2 = 4794.867, dw = -0.0626, nw = 1651 120826.0030.ec.fits: ap = 66, w1 = 4856.648, w2 = 4754.243, dw = -0.06206, nw = 1651 120826.0030.ec.fits: ap = 67, w1 = 4815.844, w2 = 4714.301, dw = -0.06154, nw = 1651 120826.0030.ec.fits: ap = 68, w1 = 4775.72, w2 = 4675.025, dw = -0.06103, nw = 1651 120826.0030.ec.fits: ap = 69, w1 = 4736.26, w2 = 4636.398, dw = -0.06052, nw = 1651 120826.0030.ec.fits: ap = 70, w1 = 4697.446, w2 = 4598.405, dw = -0.06002, nw = 1651 120826.0030.ec.fits: ap = 71, w1 = 4659.264, w2 = 4561.03, dw = -0.05954, nw = 1651 120826.0030.ec.fits: ap = 72, w1 = 4621.697, w2 = 4524.257, dw = -0.05905, nw = 1651 120826.0030.ec.fits: ap = 73, w1 = 4584.732, w2 = 4488.073, dw = -0.05858, nw = 1651 120826.0030.ec.fits: ap = 74, w1 = 4548.353, w2 = 4452.463, dw = -0.05812, nw = 1651 120826.0030.ec.fits: ap = 75, w1 = 4512.548, w2 = 4417.415, dw = -0.05766, nw = 1651 120826.0030.ec.fits: ap = 76, w1 = 4477.302, w2 = 4382.914, dw = -0.0572, nw = 1651 120826.0030.ec.fits: ap = 77, w1 = 4442.602, w2 = 4348.948, dw = -0.05676, nw = 1651 120826.0030.ec.fits: ap = 78, w1 = 4408.437, w2 = 4315.504, dw = -0.05632, nw = 1651 120826.0030.ec.fits: ap = 79, w1 = 4374.793, w2 = 4282.572, dw = -0.05589, nw = 1651 120826.0030.ec.fits: ap = 80, w1 = 4341.659, w2 = 4250.138, dw = -0.05547, nw = 1651 120826.0030.ec.fits: ap = 81, w1 = 4309.023, w2 = 4218.193, dw = -0.05505, nw = 1651 120826.0030.ec.fits: ap = 82, w1 = 4276.875, w2 = 4186.724, dw = -0.05464, nw = 1651 120826.0030.ec.fits: ap = 83, w1 = 4245.203, w2 = 4155.721, dw = -0.05423, nw = 1651 120826.0030.ec.fits: ap = 84, w1 = 4213.996, w2 = 4125.175, dw = -0.05383, nw = 1651 120826.0030.ec.fits: ap = 85, w1 = 4183.246, w2 = 4095.075, dw = -0.05344, nw = 1651 120826.0030.ec.fits: ap = 86, w1 = 4152.941, w2 = 4065.411, dw = -0.05305, nw = 1651 120826.0030.ec.fits: ap = 87, w1 = 4123.072, w2 = 4036.174, dw = -0.05267, nw = 1651 120826.0030.ec.fits: ap = 88, w1 = 4093.63, w2 = 4007.354, dw = -0.05229, nw = 1651 120826.0030.ec.fits: ap = 89, w1 = 4064.606, w2 = 3978.944, dw = -0.05192, nw = 1651 120826.0030.ec.fits: ap = 90, w1 = 4035.991, w2 = 3950.934, dw = -0.05155, nw = 1651 120826.0030.ec.fits: ap = 91, w1 = 4007.776, w2 = 3923.316, dw = -0.05119, nw = 1651 120826.0030.ec.fits: ap = 92, w1 = 3979.953, w2 = 3896.081, dw = -0.05083, nw = 1651 120826.0030.ec.fits: ap = 93, w1 = 3952.514, w2 = 3869.222, dw = -0.05048, nw = 1651 120826.0030.ec.fits: ap = 94, w1 = 3925.451, w2 = 3842.732, dw = -0.05013, nw = 1651 120826.0030.ec.fits: ap = 95, w1 = 3898.756, w2 = 3816.602, dw = -0.04979, nw = 1651 120826.0030.ec.fits: ap = 96, w1 = 3872.422, w2 = 3790.825, dw = -0.04945, nw = 1651 120826.0030.ec.fits: ap = 97, w1 = 3846.442, w2 = 3765.394, dw = -0.04912, nw = 1651 120826.0030.ec.fits: ap = 98, w1 = 3820.808, w2 = 3740.302, dw = -0.04879, nw = 1651 120826.0030.ec.fits: ap = 99, w1 = 3795.514, w2 = 3715.543, dw = -0.04847, nw = 1651 120826.0030.ec.fits: ap = 100, w1 = 3770.552, w2 = 3691.11, dw = -0.04815, nw = 1651 120826.0030.ec.fits: ap = 101, w1 = 3745.917, w2 = 3666.996, dw = -0.04783, nw = 1651 120826.0030.ec.fits: ap = 102, w1 = 3721.603, w2 = 3643.196, dw = -0.04752, nw = 1651 120826.0030.ec.fits: ap = 103, w1 = 3697.602, w2 = 3619.703, dw = -0.04721, nw = 1651 120826.0030.ec.fits: ap = 104, w1 = 3673.908, w2 = 3596.511, dw = -0.04691, nw = 1651 120826.0030.ec.fits: ap = 105, w1 = 3650.517, w2 = 3573.615, dw = -0.04661, nw = 1651 120826.0030.ec.fits: ap = 106, w1 = 3627.422, w2 = 3551.008, dw = -0.04631, nw = 1651 120826.0030.ec.fits: ap = 107, w1 = 3604.618, w2 = 3528.686, dw = -0.04602, nw = 1651 120826.0030.ec.fits: ap = 108, w1 = 3582.098, w2 = 3506.644, dw = -0.04573, nw = 1651 120826.0030.ec.fits: ap = 109, w1 = 3559.859, w2 = 3484.875, dw = -0.04544, nw = 1651 120826.0030.ec.fits: ap = 110, w1 = 3537.894, w2 = 3463.375, dw = -0.04516, nw = 1651 120826.0030.ec.fits: ap = 111, w1 = 3516.199, w2 = 3442.139, dw = -0.04488, nw = 1651 120826.0030.ec.fits: ap = 112, w1 = 3494.769, w2 = 3421.163, dw = -0.04461, nw = 1651 120826.0030.ec.fits: ap = 113, w1 = 3473.598, w2 = 3400.44, dw = -0.04434, nw = 1651 120826.0030.ec.fits: ap = 114, w1 = 3452.683, w2 = 3379.968, dw = -0.04407, nw = 1651 120826.0030.ec.fits: ap = 115, w1 = 3432.018, w2 = 3359.74, dw = -0.0438, nw = 1651 120826.0031.ec.fits: REFSPEC1 = '120826.0009.ec 1.' 120826.0031.ec.fits: ap = 1, w1 = 10811.92, w2 = 10583.74, dw = -0.13829, nw = 1651 120826.0031.ec.fits: ap = 2, w1 = 10611.72, w2 = 10387.76, dw = -0.13573, nw = 1651 120826.0031.ec.fits: ap = 3, w1 = 10418.79, w2 = 10198.91, dw = -0.13326, nw = 1651 120826.0031.ec.fits: ap = 4, w1 = 10232.75, w2 = 10016.8, dw = -0.13088, nw = 1651 120826.0031.ec.fits: ap = 5, w1 = 10053.25, w2 = 9841.087, dw = -0.12858, nw = 1651 120826.0031.ec.fits: ap = 6, w1 = 9879.928, w2 = 9671.429, dw = -0.12636, nw = 1651 120826.0031.ec.fits: ap = 7, w1 = 9712.485, w2 = 9507.522, dw = -0.12422, nw = 1651 120826.0031.ec.fits: ap = 8, w1 = 9550.624, w2 = 9349.079, dw = -0.12215, nw = 1651 120826.0031.ec.fits: ap = 9, w1 = 9394.069, w2 = 9195.83, dw = -0.12014, nw = 1651 120826.0031.ec.fits: ap = 10, w1 = 9242.564, w2 = 9047.525, dw = -0.11821, nw = 1651 120826.0031.ec.fits: ap = 11, w1 = 9095.869, w2 = 8903.928, dw = -0.11633, nw = 1651 120826.0031.ec.fits: ap = 12, w1 = 8953.759, w2 = 8764.818, dw = -0.11451, nw = 1651 120826.0031.ec.fits: ap = 13, w1 = 8816.02, w2 = 8629.989, dw = -0.11275, nw = 1651 120826.0031.ec.fits: ap = 14, w1 = 8682.456, w2 = 8499.245, dw = -0.11104, nw = 1651 120826.0031.ec.fits: ap = 15, w1 = 8552.879, w2 = 8372.404, dw = -0.10938, nw = 1651 120826.0031.ec.fits: ap = 16, w1 = 8427.112, w2 = 8249.294, dw = -0.10777, nw = 1651 120826.0031.ec.fits: ap = 17, w1 = 8304.991, w2 = 8129.751, dw = -0.10621, nw = 1651 120826.0031.ec.fits: ap = 18, w1 = 8186.359, w2 = 8013.625, dw = -0.10469, nw = 1651 120826.0031.ec.fits: ap = 19, w1 = 8071.069, w2 = 7900.769, dw = -0.10321, nw = 1651 120826.0031.ec.fits: ap = 20, w1 = 7958.982, w2 = 7791.049, dw = -0.10178, nw = 1651 120826.0031.ec.fits: ap = 21, w1 = 7849.965, w2 = 7684.334, dw = -0.10038, nw = 1651 120826.0031.ec.fits: ap = 22, w1 = 7743.895, w2 = 7580.504, dw = -0.09902, nw = 1651 120826.0031.ec.fits: ap = 23, w1 = 7640.653, w2 = 7479.443, dw = -0.0977, nw = 1651 120826.0031.ec.fits: ap = 24, w1 = 7540.128, w2 = 7381.041, dw = -0.09642, nw = 1651 120826.0031.ec.fits: ap = 25, w1 = 7442.214, w2 = 7285.194, dw = -0.09516, nw = 1651 120826.0031.ec.fits: ap = 26, w1 = 7346.811, w2 = 7191.806, dw = -0.09394, nw = 1651 120826.0031.ec.fits: ap = 27, w1 = 7253.823, w2 = 7100.782, dw = -0.09275, nw = 1651 120826.0031.ec.fits: ap = 28, w1 = 7163.16, w2 = 7012.033, dw = -0.09159, nw = 1651 120826.0031.ec.fits: ap = 29, w1 = 7074.735, w2 = 6925.476, dw = -0.09046, nw = 1651 120826.0031.ec.fits: ap = 30, w1 = 6988.467, w2 = 6841.03, dw = -0.08936, nw = 1651 120826.0031.ec.fits: ap = 31, w1 = 6904.278, w2 = 6758.619, dw = -0.08828, nw = 1651 120826.0031.ec.fits: ap = 32, w1 = 6822.093, w2 = 6678.17, dw = -0.08723, nw = 1651 120826.0031.ec.fits: ap = 33, w1 = 6741.842, w2 = 6599.614, dw = -0.0862, nw = 1651 120826.0031.ec.fits: ap = 34, w1 = 6663.458, w2 = 6522.885, dw = -0.0852, nw = 1651 120826.0031.ec.fits: ap = 35, w1 = 6586.875, w2 = 6447.92, dw = -0.08422, nw = 1651 120826.0031.ec.fits: ap = 36, w1 = 6512.033, w2 = 6374.658, dw = -0.08326, nw = 1651 120826.0031.ec.fits: ap = 37, w1 = 6438.873, w2 = 6303.043, dw = -0.08232, nw = 1651 120826.0031.ec.fits: ap = 38, w1 = 6367.339, w2 = 6233.02, dw = -0.08141, nw = 1651 120826.0031.ec.fits: ap = 39, w1 = 6297.377, w2 = 6164.535, dw = -0.08051, nw = 1651 120826.0031.ec.fits: ap = 40, w1 = 6228.935, w2 = 6097.54, dw = -0.07963, nw = 1651 120826.0031.ec.fits: ap = 41, w1 = 6161.966, w2 = 6031.985, dw = -0.07878, nw = 1651 120826.0031.ec.fits: ap = 42, w1 = 6096.422, w2 = 5967.825, dw = -0.07794, nw = 1651 120826.0031.ec.fits: ap = 43, w1 = 6032.257, w2 = 5905.016, dw = -0.07712, nw = 1651 120826.0031.ec.fits: ap = 44, w1 = 5969.43, w2 = 5843.515, dw = -0.07631, nw = 1651 120826.0031.ec.fits: ap = 45, w1 = 5907.898, w2 = 5783.283, dw = -0.07552, nw = 1651 120826.0031.ec.fits: ap = 46, w1 = 5847.621, w2 = 5724.28, dw = -0.07475, nw = 1651 120826.0031.ec.fits: ap = 47, w1 = 5788.563, w2 = 5666.468, dw = -0.074, nw = 1651 120826.0031.ec.fits: ap = 48, w1 = 5730.685, w2 = 5609.814, dw = -0.07326, nw = 1651 120826.0031.ec.fits: ap = 49, w1 = 5673.954, w2 = 5554.281, dw = -0.07253, nw = 1651 120826.0031.ec.fits: ap = 50, w1 = 5618.335, w2 = 5499.837, dw = -0.07182, nw = 1651 120826.0031.ec.fits: ap = 51, w1 = 5563.796, w2 = 5446.45, dw = -0.07112, nw = 1651 120826.0031.ec.fits: ap = 52, w1 = 5510.306, w2 = 5394.09, dw = -0.07043, nw = 1651 120826.0031.ec.fits: ap = 53, w1 = 5457.835, w2 = 5342.728, dw = -0.06976, nw = 1651 120826.0031.ec.fits: ap = 54, w1 = 5406.355, w2 = 5292.334, dw = -0.0691, nw = 1651 120826.0031.ec.fits: ap = 55, w1 = 5355.836, w2 = 5242.883, dw = -0.06846, nw = 1651 120826.0031.ec.fits: ap = 56, w1 = 5306.253, w2 = 5194.348, dw = -0.06782, nw = 1651 120826.0031.ec.fits: ap = 57, w1 = 5257.58, w2 = 5146.703, dw = -0.0672, nw = 1651 120826.0031.ec.fits: ap = 58, w1 = 5209.792, w2 = 5099.924, dw = -0.06659, nw = 1651 120826.0031.ec.fits: ap = 59, w1 = 5162.865, w2 = 5053.989, dw = -0.06599, nw = 1651 120826.0031.ec.fits: ap = 60, w1 = 5116.776, w2 = 5008.874, dw = -0.0654, nw = 1651 120826.0031.ec.fits: ap = 61, w1 = 5071.503, w2 = 4964.557, dw = -0.06482, nw = 1651 120826.0031.ec.fits: ap = 62, w1 = 5027.024, w2 = 4921.018, dw = -0.06425, nw = 1651 120826.0031.ec.fits: ap = 63, w1 = 4983.319, w2 = 4878.237, dw = -0.06369, nw = 1651 120826.0031.ec.fits: ap = 64, w1 = 4940.367, w2 = 4836.193, dw = -0.06314, nw = 1651 120826.0031.ec.fits: ap = 65, w1 = 4898.15, w2 = 4794.867, dw = -0.0626, nw = 1651 120826.0031.ec.fits: ap = 66, w1 = 4856.648, w2 = 4754.243, dw = -0.06206, nw = 1651 120826.0031.ec.fits: ap = 67, w1 = 4815.844, w2 = 4714.301, dw = -0.06154, nw = 1651 120826.0031.ec.fits: ap = 68, w1 = 4775.72, w2 = 4675.025, dw = -0.06103, nw = 1651 120826.0031.ec.fits: ap = 69, w1 = 4736.26, w2 = 4636.398, dw = -0.06052, nw = 1651 120826.0031.ec.fits: ap = 70, w1 = 4697.446, w2 = 4598.405, dw = -0.06002, nw = 1651 120826.0031.ec.fits: ap = 71, w1 = 4659.264, w2 = 4561.03, dw = -0.05954, nw = 1651 120826.0031.ec.fits: ap = 72, w1 = 4621.697, w2 = 4524.257, dw = -0.05905, nw = 1651 120826.0031.ec.fits: ap = 73, w1 = 4584.732, w2 = 4488.073, dw = -0.05858, nw = 1651 120826.0031.ec.fits: ap = 74, w1 = 4548.353, w2 = 4452.463, dw = -0.05812, nw = 1651 120826.0031.ec.fits: ap = 75, w1 = 4512.548, w2 = 4417.415, dw = -0.05766, nw = 1651 120826.0031.ec.fits: ap = 76, w1 = 4477.302, w2 = 4382.914, dw = -0.0572, nw = 1651 120826.0031.ec.fits: ap = 77, w1 = 4442.602, w2 = 4348.948, dw = -0.05676, nw = 1651 120826.0031.ec.fits: ap = 78, w1 = 4408.437, w2 = 4315.504, dw = -0.05632, nw = 1651 120826.0031.ec.fits: ap = 79, w1 = 4374.793, w2 = 4282.572, dw = -0.05589, nw = 1651 120826.0031.ec.fits: ap = 80, w1 = 4341.659, w2 = 4250.138, dw = -0.05547, nw = 1651 120826.0031.ec.fits: ap = 81, w1 = 4309.023, w2 = 4218.193, dw = -0.05505, nw = 1651 120826.0031.ec.fits: ap = 82, w1 = 4276.875, w2 = 4186.724, dw = -0.05464, nw = 1651 120826.0031.ec.fits: ap = 83, w1 = 4245.203, w2 = 4155.721, dw = -0.05423, nw = 1651 120826.0031.ec.fits: ap = 84, w1 = 4213.996, w2 = 4125.175, dw = -0.05383, nw = 1651 120826.0031.ec.fits: ap = 85, w1 = 4183.246, w2 = 4095.075, dw = -0.05344, nw = 1651 120826.0031.ec.fits: ap = 86, w1 = 4152.941, w2 = 4065.411, dw = -0.05305, nw = 1651 120826.0031.ec.fits: ap = 87, w1 = 4123.072, w2 = 4036.174, dw = -0.05267, nw = 1651 120826.0031.ec.fits: ap = 88, w1 = 4093.63, w2 = 4007.354, dw = -0.05229, nw = 1651 120826.0031.ec.fits: ap = 89, w1 = 4064.606, w2 = 3978.944, dw = -0.05192, nw = 1651 120826.0031.ec.fits: ap = 90, w1 = 4035.991, w2 = 3950.934, dw = -0.05155, nw = 1651 120826.0031.ec.fits: ap = 91, w1 = 4007.776, w2 = 3923.316, dw = -0.05119, nw = 1651 120826.0031.ec.fits: ap = 92, w1 = 3979.953, w2 = 3896.081, dw = -0.05083, nw = 1651 120826.0031.ec.fits: ap = 93, w1 = 3952.514, w2 = 3869.222, dw = -0.05048, nw = 1651 120826.0031.ec.fits: ap = 94, w1 = 3925.451, w2 = 3842.732, dw = -0.05013, nw = 1651 120826.0031.ec.fits: ap = 95, w1 = 3898.756, w2 = 3816.602, dw = -0.04979, nw = 1651 120826.0031.ec.fits: ap = 96, w1 = 3872.422, w2 = 3790.825, dw = -0.04945, nw = 1651 120826.0031.ec.fits: ap = 97, w1 = 3846.442, w2 = 3765.394, dw = -0.04912, nw = 1651 120826.0031.ec.fits: ap = 98, w1 = 3820.808, w2 = 3740.302, dw = -0.04879, nw = 1651 120826.0031.ec.fits: ap = 99, w1 = 3795.514, w2 = 3715.543, dw = -0.04847, nw = 1651 120826.0031.ec.fits: ap = 100, w1 = 3770.552, w2 = 3691.11, dw = -0.04815, nw = 1651 120826.0031.ec.fits: ap = 101, w1 = 3745.917, w2 = 3666.996, dw = -0.04783, nw = 1651 120826.0031.ec.fits: ap = 102, w1 = 3721.603, w2 = 3643.196, dw = -0.04752, nw = 1651 120826.0031.ec.fits: ap = 103, w1 = 3697.602, w2 = 3619.703, dw = -0.04721, nw = 1651 120826.0031.ec.fits: ap = 104, w1 = 3673.908, w2 = 3596.511, dw = -0.04691, nw = 1651 120826.0031.ec.fits: ap = 105, w1 = 3650.517, w2 = 3573.615, dw = -0.04661, nw = 1651 120826.0031.ec.fits: ap = 106, w1 = 3627.422, w2 = 3551.008, dw = -0.04631, nw = 1651 120826.0031.ec.fits: ap = 107, w1 = 3604.618, w2 = 3528.686, dw = -0.04602, nw = 1651 120826.0031.ec.fits: ap = 108, w1 = 3582.098, w2 = 3506.644, dw = -0.04573, nw = 1651 120826.0031.ec.fits: ap = 109, w1 = 3559.859, w2 = 3484.875, dw = -0.04544, nw = 1651 120826.0031.ec.fits: ap = 110, w1 = 3537.894, w2 = 3463.375, dw = -0.04516, nw = 1651 120826.0031.ec.fits: ap = 111, w1 = 3516.199, w2 = 3442.139, dw = -0.04488, nw = 1651 120826.0031.ec.fits: ap = 112, w1 = 3494.769, w2 = 3421.163, dw = -0.04461, nw = 1651 120826.0031.ec.fits: ap = 113, w1 = 3473.598, w2 = 3400.44, dw = -0.04434, nw = 1651 120826.0031.ec.fits: ap = 114, w1 = 3452.683, w2 = 3379.968, dw = -0.04407, nw = 1651 120826.0031.ec.fits: ap = 115, w1 = 3432.018, w2 = 3359.74, dw = -0.0438, nw = 1651 120826.0006.ec.fits: REFSPEC1 = '120826.0006.ec 1.' z120826.0006.ec.fits: ap = 1, w1 = 10811.96, w2 = 10583.69, dw = -0.13835, nw = 1651 z120826.0006.ec.fits: ap = 2, w1 = 10611.75, w2 = 10387.72, dw = -0.13578, nw = 1651 z120826.0006.ec.fits: ap = 3, w1 = 10418.82, w2 = 10198.88, dw = -0.1333, nw = 1651 z120826.0006.ec.fits: ap = 4, w1 = 10232.79, w2 = 10016.78, dw = -0.13091, nw = 1651 z120826.0006.ec.fits: ap = 5, w1 = 10053.28, w2 = 9841.069, dw = -0.12861, nw = 1651 z120826.0006.ec.fits: ap = 6, w1 = 9879.958, w2 = 9671.417, dw = -0.12639, nw = 1651 z120826.0006.ec.fits: ap = 7, w1 = 9712.513, w2 = 9507.516, dw = -0.12424, nw = 1651 z120826.0006.ec.fits: ap = 8, w1 = 9550.65, w2 = 9349.077, dw = -0.12217, nw = 1651 z120826.0006.ec.fits: ap = 9, w1 = 9394.094, w2 = 9195.832, dw = -0.12016, nw = 1651 z120826.0006.ec.fits: ap = 10, w1 = 9242.589, w2 = 9047.53, dw = -0.11822, nw = 1651 z120826.0006.ec.fits: ap = 11, w1 = 9095.892, w2 = 8903.936, dw = -0.11634, nw = 1651 z120826.0006.ec.fits: ap = 12, w1 = 8953.78, w2 = 8764.829, dw = -0.11452, nw = 1651 z120826.0006.ec.fits: ap = 13, w1 = 8816.041, w2 = 8630.002, dw = -0.11275, nw = 1651 z120826.0006.ec.fits: ap = 14, w1 = 8682.476, w2 = 8499.26, dw = -0.11104, nw = 1651 z120826.0006.ec.fits: ap = 15, w1 = 8552.897, w2 = 8372.42, dw = -0.10938, nw = 1651 z120826.0006.ec.fits: ap = 16, w1 = 8427.13, w2 = 8249.31, dw = -0.10777, nw = 1651 z120826.0006.ec.fits: ap = 17, w1 = 8305.008, w2 = 8129.769, dw = -0.10621, nw = 1651 z120826.0006.ec.fits: ap = 18, w1 = 8186.375, w2 = 8013.643, dw = -0.10469, nw = 1651 z120826.0006.ec.fits: ap = 19, w1 = 8071.084, w2 = 7900.788, dw = -0.10321, nw = 1651 z120826.0006.ec.fits: ap = 20, w1 = 7958.996, w2 = 7791.068, dw = -0.10177, nw = 1651 z120826.0006.ec.fits: ap = 21, w1 = 7849.978, w2 = 7684.353, dw = -0.10038, nw = 1651 z120826.0006.ec.fits: ap = 22, w1 = 7743.907, w2 = 7580.522, dw = -0.09902, nw = 1651 z120826.0006.ec.fits: ap = 23, w1 = 7640.664, w2 = 7479.46, dw = -0.0977, nw = 1651 z120826.0006.ec.fits: ap = 24, w1 = 7540.138, w2 = 7381.058, dw = -0.09641, nw = 1651 z120826.0006.ec.fits: ap = 25, w1 = 7442.223, w2 = 7285.211, dw = -0.09516, nw = 1651 z120826.0006.ec.fits: ap = 26, w1 = 7346.819, w2 = 7191.822, dw = -0.09394, nw = 1651 z120826.0006.ec.fits: ap = 27, w1 = 7253.83, w2 = 7100.797, dw = -0.09275, nw = 1651 z120826.0006.ec.fits: ap = 28, w1 = 7163.166, w2 = 7012.047, dw = -0.09159, nw = 1651 z120826.0006.ec.fits: ap = 29, w1 = 7074.741, w2 = 6925.489, dw = -0.09046, nw = 1651 z120826.0006.ec.fits: ap = 30, w1 = 6988.472, w2 = 6841.042, dw = -0.08935, nw = 1651 z120826.0006.ec.fits: ap = 31, w1 = 6904.282, w2 = 6758.63, dw = -0.08827, nw = 1651 z120826.0006.ec.fits: ap = 32, w1 = 6822.096, w2 = 6678.18, dw = -0.08722, nw = 1651 z120826.0006.ec.fits: ap = 33, w1 = 6741.845, w2 = 6599.623, dw = -0.08619, nw = 1651 z120826.0006.ec.fits: ap = 34, w1 = 6663.459, w2 = 6522.893, dw = -0.08519, nw = 1651 z120826.0006.ec.fits: ap = 35, w1 = 6586.876, w2 = 6447.927, dw = -0.08421, nw = 1651 z120826.0006.ec.fits: ap = 36, w1 = 6512.033, w2 = 6374.665, dw = -0.08325, nw = 1651 z120826.0006.ec.fits: ap = 37, w1 = 6438.872, w2 = 6303.049, dw = -0.08232, nw = 1651 z120826.0006.ec.fits: ap = 38, w1 = 6367.337, w2 = 6233.024, dw = -0.0814, nw = 1651 z120826.0006.ec.fits: ap = 39, w1 = 6297.374, w2 = 6164.539, dw = -0.08051, nw = 1651 z120826.0006.ec.fits: ap = 40, w1 = 6228.932, w2 = 6097.543, dw = -0.07963, nw = 1651 z120826.0006.ec.fits: ap = 41, w1 = 6161.962, w2 = 6031.987, dw = -0.07877, nw = 1651 z120826.0006.ec.fits: ap = 42, w1 = 6096.416, w2 = 5967.826, dw = -0.07793, nw = 1651 z120826.0006.ec.fits: ap = 43, w1 = 6032.251, w2 = 5905.016, dw = -0.07711, nw = 1651 z120826.0006.ec.fits: ap = 44, w1 = 5969.423, w2 = 5843.515, dw = -0.07631, nw = 1651 z120826.0006.ec.fits: ap = 45, w1 = 5907.89, w2 = 5783.282, dw = -0.07552, nw = 1651 z120826.0006.ec.fits: ap = 46, w1 = 5847.613, w2 = 5724.279, dw = -0.07475, nw = 1651 z120826.0006.ec.fits: ap = 47, w1 = 5788.554, w2 = 5666.467, dw = -0.07399, nw = 1651 z120826.0006.ec.fits: ap = 48, w1 = 5730.676, w2 = 5609.812, dw = -0.07325, nw = 1651 z120826.0006.ec.fits: ap = 49, w1 = 5673.944, w2 = 5554.278, dw = -0.07252, nw = 1651 z120826.0006.ec.fits: ap = 50, w1 = 5618.324, w2 = 5499.834, dw = -0.07181, nw = 1651 z120826.0006.ec.fits: ap = 51, w1 = 5563.785, w2 = 5446.447, dw = -0.07111, nw = 1651 z120826.0006.ec.fits: ap = 52, w1 = 5510.294, w2 = 5394.087, dw = -0.07043, nw = 1651 z120826.0006.ec.fits: ap = 53, w1 = 5457.823, w2 = 5342.725, dw = -0.06976, nw = 1651 z120826.0006.ec.fits: ap = 54, w1 = 5406.342, w2 = 5292.331, dw = -0.0691, nw = 1651 z120826.0006.ec.fits: ap = 55, w1 = 5355.823, w2 = 5242.88, dw = -0.06845, nw = 1651 z120826.0006.ec.fits: ap = 56, w1 = 5306.239, w2 = 5194.344, dw = -0.06782, nw = 1651 z120826.0006.ec.fits: ap = 57, w1 = 5257.566, w2 = 5146.7, dw = -0.06719, nw = 1651 z120826.0006.ec.fits: ap = 58, w1 = 5209.777, w2 = 5099.921, dw = -0.06658, nw = 1651 z120826.0006.ec.fits: ap = 59, w1 = 5162.85, w2 = 5053.986, dw = -0.06598, nw = 1651 z120826.0006.ec.fits: ap = 60, w1 = 5116.761, w2 = 5008.871, dw = -0.06539, nw = 1651 z120826.0006.ec.fits: ap = 61, w1 = 5071.488, w2 = 4964.555, dw = -0.06481, nw = 1651 z120826.0006.ec.fits: ap = 62, w1 = 5027.009, w2 = 4921.016, dw = -0.06424, nw = 1651 z120826.0006.ec.fits: ap = 63, w1 = 4983.304, w2 = 4878.235, dw = -0.06368, nw = 1651 z120826.0006.ec.fits: ap = 64, w1 = 4940.352, w2 = 4836.191, dw = -0.06313, nw = 1651 z120826.0006.ec.fits: ap = 65, w1 = 4898.135, w2 = 4794.866, dw = -0.06259, nw = 1651 z120826.0006.ec.fits: ap = 66, w1 = 4856.634, w2 = 4754.242, dw = -0.06206, nw = 1651 z120826.0006.ec.fits: ap = 67, w1 = 4815.83, w2 = 4714.301, dw = -0.06153, nw = 1651 z120826.0006.ec.fits: ap = 68, w1 = 4775.706, w2 = 4675.026, dw = -0.06102, nw = 1651 z120826.0006.ec.fits: ap = 69, w1 = 4736.246, w2 = 4636.399, dw = -0.06051, nw = 1651 z120826.0006.ec.fits: ap = 70, w1 = 4697.433, w2 = 4598.407, dw = -0.06002, nw = 1651 z120826.0006.ec.fits: ap = 71, w1 = 4659.251, w2 = 4561.032, dw = -0.05953, nw = 1651 z120826.0006.ec.fits: ap = 72, w1 = 4621.685, w2 = 4524.26, dw = -0.05905, nw = 1651 z120826.0006.ec.fits: ap = 73, w1 = 4584.72, w2 = 4488.076, dw = -0.05857, nw = 1651 z120826.0006.ec.fits: ap = 74, w1 = 4548.343, w2 = 4452.467, dw = -0.05811, nw = 1651 z120826.0006.ec.fits: ap = 75, w1 = 4512.538, w2 = 4417.419, dw = -0.05765, nw = 1651 z120826.0006.ec.fits: ap = 76, w1 = 4477.293, w2 = 4382.919, dw = -0.0572, nw = 1651 z120826.0006.ec.fits: ap = 77, w1 = 4442.595, w2 = 4348.953, dw = -0.05675, nw = 1651 z120826.0006.ec.fits: ap = 78, w1 = 4408.43, w2 = 4315.51, dw = -0.05632, nw = 1651 z120826.0006.ec.fits: ap = 79, w1 = 4374.788, w2 = 4282.578, dw = -0.05588, nw = 1651 z120826.0006.ec.fits: ap = 80, w1 = 4341.655, w2 = 4250.145, dw = -0.05546, nw = 1651 z120826.0006.ec.fits: ap = 81, w1 = 4309.021, w2 = 4218.2, dw = -0.05504, nw = 1651 z120826.0006.ec.fits: ap = 82, w1 = 4276.874, w2 = 4186.732, dw = -0.05463, nw = 1651 z120826.0006.ec.fits: ap = 83, w1 = 4245.204, w2 = 4155.73, dw = -0.05423, nw = 1651 z120826.0006.ec.fits: ap = 84, w1 = 4214., w2 = 4125.184, dw = -0.05383, nw = 1651 z120826.0006.ec.fits: ap = 85, w1 = 4183.251, w2 = 4095.084, dw = -0.05343, nw = 1651 z120826.0006.ec.fits: ap = 86, w1 = 4152.948, w2 = 4065.42, dw = -0.05305, nw = 1651 z120826.0006.ec.fits: ap = 87, w1 = 4123.082, w2 = 4036.183, dw = -0.05267, nw = 1651 z120826.0006.ec.fits: ap = 88, w1 = 4093.642, w2 = 4007.364, dw = -0.05229, nw = 1651 z120826.0006.ec.fits: ap = 89, w1 = 4064.621, w2 = 3978.953, dw = -0.05192, nw = 1651 z120826.0006.ec.fits: ap = 90, w1 = 4036.008, w2 = 3950.943, dw = -0.05155, nw = 1651 z120826.0006.ec.fits: ap = 91, w1 = 4007.796, w2 = 3923.325, dw = -0.05119, nw = 1651 z120826.0006.ec.fits: ap = 92, w1 = 3979.976, w2 = 3896.09, dw = -0.05084, nw = 1651 z120826.0006.ec.fits: ap = 93, w1 = 3952.54, w2 = 3869.231, dw = -0.05049, nw = 1651 z120826.0006.ec.fits: ap = 94, w1 = 3925.48, w2 = 3842.74, dw = -0.05015, nw = 1651 z120826.0006.ec.fits: ap = 95, w1 = 3898.789, w2 = 3816.61, dw = -0.04981, nw = 1651 z120826.0006.ec.fits: ap = 96, w1 = 3872.458, w2 = 3790.832, dw = -0.04947, nw = 1651 z120826.0006.ec.fits: ap = 97, w1 = 3846.481, w2 = 3765.401, dw = -0.04914, nw = 1651 z120826.0006.ec.fits: ap = 98, w1 = 3820.851, w2 = 3740.308, dw = -0.04881, nw = 1651 z120826.0006.ec.fits: ap = 99, w1 = 3795.561, w2 = 3715.548, dw = -0.04849, nw = 1651 z120826.0006.ec.fits: ap = 100, w1 = 3770.604, w2 = 3691.114, dw = -0.04818, nw = 1651 z120826.0006.ec.fits: ap = 101, w1 = 3745.973, w2 = 3666.999, dw = -0.04786, nw = 1651 z120826.0006.ec.fits: ap = 102, w1 = 3721.663, w2 = 3643.197, dw = -0.04756, nw = 1651 z120826.0006.ec.fits: ap = 103, w1 = 3697.667, w2 = 3619.702, dw = -0.04725, nw = 1651 z120826.0006.ec.fits: ap = 104, w1 = 3673.978, w2 = 3596.509, dw = -0.04695, nw = 1651 z120826.0006.ec.fits: ap = 105, w1 = 3650.592, w2 = 3573.611, dw = -0.04666, nw = 1651 z120826.0006.ec.fits: ap = 106, w1 = 3627.502, w2 = 3551.002, dw = -0.04636, nw = 1651 z120826.0006.ec.fits: ap = 107, w1 = 3604.703, w2 = 3528.678, dw = -0.04608, nw = 1651 z120826.0006.ec.fits: ap = 108, w1 = 3582.189, w2 = 3506.633, dw = -0.04579, nw = 1651 z120826.0006.ec.fits: ap = 109, w1 = 3559.956, w2 = 3484.862, dw = -0.04551, nw = 1651 z120826.0006.ec.fits: ap = 110, w1 = 3537.997, w2 = 3463.359, dw = -0.04523, nw = 1651 z120826.0006.ec.fits: ap = 111, w1 = 3516.308, w2 = 3442.121, dw = -0.04496, nw = 1651 z120826.0006.ec.fits: ap = 112, w1 = 3494.884, w2 = 3421.141, dw = -0.04469, nw = 1651 z120826.0006.ec.fits: ap = 113, w1 = 3473.72, w2 = 3400.415, dw = -0.04443, nw = 1651 z120826.0006.ec.fits: ap = 114, w1 = 3452.812, w2 = 3379.939, dw = -0.04417, nw = 1651 z120826.0006.ec.fits: ap = 115, w1 = 3432.154, w2 = 3359.708, dw = -0.04391, nw = 1651 120826.0007.ec.fits: REFSPEC1 = '120826.0007.ec 1.' z120826.0007.ec.fits: ap = 1, w1 = 10811.91, w2 = 10583.74, dw = -0.13828, nw = 1651 z120826.0007.ec.fits: ap = 2, w1 = 10611.71, w2 = 10387.77, dw = -0.13572, nw = 1651 z120826.0007.ec.fits: ap = 3, w1 = 10418.79, w2 = 10198.91, dw = -0.13326, nw = 1651 z120826.0007.ec.fits: ap = 4, w1 = 10232.76, w2 = 10016.81, dw = -0.13088, nw = 1651 z120826.0007.ec.fits: ap = 5, w1 = 10053.25, w2 = 9841.089, dw = -0.12858, nw = 1651 z120826.0007.ec.fits: ap = 6, w1 = 9879.935, w2 = 9671.431, dw = -0.12637, nw = 1651 z120826.0007.ec.fits: ap = 7, w1 = 9712.493, w2 = 9507.523, dw = -0.12422, nw = 1651 z120826.0007.ec.fits: ap = 8, w1 = 9550.633, w2 = 9349.079, dw = -0.12215, nw = 1651 z120826.0007.ec.fits: ap = 9, w1 = 9394.079, w2 = 9195.83, dw = -0.12015, nw = 1651 z120826.0007.ec.fits: ap = 10, w1 = 9242.575, w2 = 9047.525, dw = -0.11821, nw = 1651 z120826.0007.ec.fits: ap = 11, w1 = 9095.881, w2 = 8903.927, dw = -0.11634, nw = 1651 z120826.0007.ec.fits: ap = 12, w1 = 8953.77, w2 = 8764.817, dw = -0.11452, nw = 1651 z120826.0007.ec.fits: ap = 13, w1 = 8816.032, w2 = 8629.987, dw = -0.11275, nw = 1651 z120826.0007.ec.fits: ap = 14, w1 = 8682.468, w2 = 8499.243, dw = -0.11105, nw = 1651 z120826.0007.ec.fits: ap = 15, w1 = 8552.89, w2 = 8372.402, dw = -0.10939, nw = 1651 z120826.0007.ec.fits: ap = 16, w1 = 8427.124, w2 = 8249.291, dw = -0.10778, nw = 1651 z120826.0007.ec.fits: ap = 17, w1 = 8305.002, w2 = 8129.749, dw = -0.10621, nw = 1651 z120826.0007.ec.fits: ap = 18, w1 = 8186.37, w2 = 8013.623, dw = -0.1047, nw = 1651 z120826.0007.ec.fits: ap = 19, w1 = 8071.079, w2 = 7900.767, dw = -0.10322, nw = 1651 z120826.0007.ec.fits: ap = 20, w1 = 7958.991, w2 = 7791.047, dw = -0.10178, nw = 1651 z120826.0007.ec.fits: ap = 21, w1 = 7849.974, w2 = 7684.332, dw = -0.10039, nw = 1651 z120826.0007.ec.fits: ap = 22, w1 = 7743.903, w2 = 7580.502, dw = -0.09903, nw = 1651 z120826.0007.ec.fits: ap = 23, w1 = 7640.66, w2 = 7479.44, dw = -0.09771, nw = 1651 z120826.0007.ec.fits: ap = 24, w1 = 7540.135, w2 = 7381.038, dw = -0.09642, nw = 1651 z120826.0007.ec.fits: ap = 25, w1 = 7442.22, w2 = 7285.192, dw = -0.09517, nw = 1651 z120826.0007.ec.fits: ap = 26, w1 = 7346.816, w2 = 7191.804, dw = -0.09395, nw = 1651 z120826.0007.ec.fits: ap = 27, w1 = 7253.828, w2 = 7100.78, dw = -0.09276, nw = 1651 z120826.0007.ec.fits: ap = 28, w1 = 7163.164, w2 = 7012.031, dw = -0.0916, nw = 1651 z120826.0007.ec.fits: ap = 29, w1 = 7074.738, w2 = 6925.474, dw = -0.09046, nw = 1651 z120826.0007.ec.fits: ap = 30, w1 = 6988.47, w2 = 6841.028, dw = -0.08936, nw = 1651 z120826.0007.ec.fits: ap = 31, w1 = 6904.28, w2 = 6758.617, dw = -0.08828, nw = 1651 z120826.0007.ec.fits: ap = 32, w1 = 6822.095, w2 = 6678.168, dw = -0.08723, nw = 1651 z120826.0007.ec.fits: ap = 33, w1 = 6741.843, w2 = 6599.613, dw = -0.0862, nw = 1651 z120826.0007.ec.fits: ap = 34, w1 = 6663.458, w2 = 6522.884, dw = -0.0852, nw = 1651 z120826.0007.ec.fits: ap = 35, w1 = 6586.875, w2 = 6447.919, dw = -0.08422, nw = 1651 z120826.0007.ec.fits: ap = 36, w1 = 6512.032, w2 = 6374.658, dw = -0.08326, nw = 1651 z120826.0007.ec.fits: ap = 37, w1 = 6438.872, w2 = 6303.043, dw = -0.08232, nw = 1651 z120826.0007.ec.fits: ap = 38, w1 = 6367.337, w2 = 6233.02, dw = -0.0814, nw = 1651 z120826.0007.ec.fits: ap = 39, w1 = 6297.375, w2 = 6164.535, dw = -0.08051, nw = 1651 z120826.0007.ec.fits: ap = 40, w1 = 6228.933, w2 = 6097.54, dw = -0.07963, nw = 1651 z120826.0007.ec.fits: ap = 41, w1 = 6161.964, w2 = 6031.985, dw = -0.07877, nw = 1651 z120826.0007.ec.fits: ap = 42, w1 = 6096.419, w2 = 5967.826, dw = -0.07794, nw = 1651 z120826.0007.ec.fits: ap = 43, w1 = 6032.254, w2 = 5905.017, dw = -0.07711, nw = 1651 z120826.0007.ec.fits: ap = 44, w1 = 5969.427, w2 = 5843.516, dw = -0.07631, nw = 1651 z120826.0007.ec.fits: ap = 45, w1 = 5907.894, w2 = 5783.284, dw = -0.07552, nw = 1651 z120826.0007.ec.fits: ap = 46, w1 = 5847.618, w2 = 5724.281, dw = -0.07475, nw = 1651 z120826.0007.ec.fits: ap = 47, w1 = 5788.559, w2 = 5666.47, dw = -0.07399, nw = 1651 z120826.0007.ec.fits: ap = 48, w1 = 5730.682, w2 = 5609.816, dw = -0.07325, nw = 1651 z120826.0007.ec.fits: ap = 49, w1 = 5673.951, w2 = 5554.283, dw = -0.07253, nw = 1651 z120826.0007.ec.fits: ap = 50, w1 = 5618.332, w2 = 5499.839, dw = -0.07181, nw = 1651 z120826.0007.ec.fits: ap = 51, w1 = 5563.794, w2 = 5446.453, dw = -0.07112, nw = 1651 z120826.0007.ec.fits: ap = 52, w1 = 5510.304, w2 = 5394.093, dw = -0.07043, nw = 1651 z120826.0007.ec.fits: ap = 53, w1 = 5457.833, w2 = 5342.731, dw = -0.06976, nw = 1651 z120826.0007.ec.fits: ap = 54, w1 = 5406.352, w2 = 5292.338, dw = -0.0691, nw = 1651 z120826.0007.ec.fits: ap = 55, w1 = 5355.834, w2 = 5242.887, dw = -0.06845, nw = 1651 z120826.0007.ec.fits: ap = 56, w1 = 5306.251, w2 = 5194.351, dw = -0.06782, nw = 1651 z120826.0007.ec.fits: ap = 57, w1 = 5257.579, w2 = 5146.707, dw = -0.0672, nw = 1651 z120826.0007.ec.fits: ap = 58, w1 = 5209.791, w2 = 5099.928, dw = -0.06658, nw = 1651 z120826.0007.ec.fits: ap = 59, w1 = 5162.864, w2 = 5053.993, dw = -0.06598, nw = 1651 z120826.0007.ec.fits: ap = 60, w1 = 5116.776, w2 = 5008.878, dw = -0.06539, nw = 1651 z120826.0007.ec.fits: ap = 61, w1 = 5071.503, w2 = 4964.561, dw = -0.06481, nw = 1651 z120826.0007.ec.fits: ap = 62, w1 = 5027.024, w2 = 4921.023, dw = -0.06424, nw = 1651 z120826.0007.ec.fits: ap = 63, w1 = 4983.32, w2 = 4878.241, dw = -0.06368, nw = 1651 z120826.0007.ec.fits: ap = 64, w1 = 4940.368, w2 = 4836.197, dw = -0.06313, nw = 1651 z120826.0007.ec.fits: ap = 65, w1 = 4898.152, w2 = 4794.872, dw = -0.06259, nw = 1651 z120826.0007.ec.fits: ap = 66, w1 = 4856.65, w2 = 4754.247, dw = -0.06206, nw = 1651 z120826.0007.ec.fits: ap = 67, w1 = 4815.847, w2 = 4714.305, dw = -0.06154, nw = 1651 z120826.0007.ec.fits: ap = 68, w1 = 4775.723, w2 = 4675.029, dw = -0.06103, nw = 1651 z120826.0007.ec.fits: ap = 69, w1 = 4736.263, w2 = 4636.402, dw = -0.06052, nw = 1651 z120826.0007.ec.fits: ap = 70, w1 = 4697.449, w2 = 4598.409, dw = -0.06002, nw = 1651 z120826.0007.ec.fits: ap = 71, w1 = 4659.267, w2 = 4561.033, dw = -0.05954, nw = 1651 z120826.0007.ec.fits: ap = 72, w1 = 4621.701, w2 = 4524.261, dw = -0.05905, nw = 1651 z120826.0007.ec.fits: ap = 73, w1 = 4584.736, w2 = 4488.076, dw = -0.05858, nw = 1651 z120826.0007.ec.fits: ap = 74, w1 = 4548.357, w2 = 4452.467, dw = -0.05812, nw = 1651 z120826.0007.ec.fits: ap = 75, w1 = 4512.552, w2 = 4417.418, dw = -0.05766, nw = 1651 z120826.0007.ec.fits: ap = 76, w1 = 4477.306, w2 = 4382.916, dw = -0.05721, nw = 1651 z120826.0007.ec.fits: ap = 77, w1 = 4442.606, w2 = 4348.95, dw = -0.05676, nw = 1651 z120826.0007.ec.fits: ap = 78, w1 = 4408.441, w2 = 4315.506, dw = -0.05632, nw = 1651 z120826.0007.ec.fits: ap = 79, w1 = 4374.797, w2 = 4282.573, dw = -0.05589, nw = 1651 z120826.0007.ec.fits: ap = 80, w1 = 4341.663, w2 = 4250.139, dw = -0.05547, nw = 1651 z120826.0007.ec.fits: ap = 81, w1 = 4309.027, w2 = 4218.193, dw = -0.05505, nw = 1651 z120826.0007.ec.fits: ap = 82, w1 = 4276.878, w2 = 4186.724, dw = -0.05464, nw = 1651 z120826.0007.ec.fits: ap = 83, w1 = 4245.205, w2 = 4155.721, dw = -0.05423, nw = 1651 z120826.0007.ec.fits: ap = 84, w1 = 4213.999, w2 = 4125.174, dw = -0.05383, nw = 1651 z120826.0007.ec.fits: ap = 85, w1 = 4183.248, w2 = 4095.073, dw = -0.05344, nw = 1651 z120826.0007.ec.fits: ap = 86, w1 = 4152.942, w2 = 4065.408, dw = -0.05305, nw = 1651 z120826.0007.ec.fits: ap = 87, w1 = 4123.073, w2 = 4036.171, dw = -0.05267, nw = 1651 z120826.0007.ec.fits: ap = 88, w1 = 4093.63, w2 = 4007.351, dw = -0.05229, nw = 1651 z120826.0007.ec.fits: ap = 89, w1 = 4064.605, w2 = 3978.94, dw = -0.05192, nw = 1651 z120826.0007.ec.fits: ap = 90, w1 = 4035.988, w2 = 3950.929, dw = -0.05155, nw = 1651 z120826.0007.ec.fits: ap = 91, w1 = 4007.772, w2 = 3923.31, dw = -0.05119, nw = 1651 z120826.0007.ec.fits: ap = 92, w1 = 3979.948, w2 = 3896.074, dw = -0.05083, nw = 1651 z120826.0007.ec.fits: ap = 93, w1 = 3952.507, w2 = 3869.214, dw = -0.05048, nw = 1651 z120826.0007.ec.fits: ap = 94, w1 = 3925.442, w2 = 3842.723, dw = -0.05013, nw = 1651 z120826.0007.ec.fits: ap = 95, w1 = 3898.746, w2 = 3816.592, dw = -0.04979, nw = 1651 z120826.0007.ec.fits: ap = 96, w1 = 3872.41, w2 = 3790.814, dw = -0.04945, nw = 1651 z120826.0007.ec.fits: ap = 97, w1 = 3846.427, w2 = 3765.382, dw = -0.04912, nw = 1651 z120826.0007.ec.fits: ap = 98, w1 = 3820.791, w2 = 3740.289, dw = -0.04879, nw = 1651 z120826.0007.ec.fits: ap = 99, w1 = 3795.494, w2 = 3715.528, dw = -0.04846, nw = 1651 z120826.0007.ec.fits: ap = 100, w1 = 3770.53, w2 = 3691.094, dw = -0.04814, nw = 1651 z120826.0007.ec.fits: ap = 101, w1 = 3745.893, w2 = 3666.979, dw = -0.04783, nw = 1651 z120826.0007.ec.fits: ap = 102, w1 = 3721.575, w2 = 3643.177, dw = -0.04751, nw = 1651 z120826.0007.ec.fits: ap = 103, w1 = 3697.571, w2 = 3619.682, dw = -0.04721, nw = 1651 z120826.0007.ec.fits: ap = 104, w1 = 3673.874, w2 = 3596.489, dw = -0.0469, nw = 1651 z120826.0007.ec.fits: ap = 105, w1 = 3650.479, w2 = 3573.591, dw = -0.0466, nw = 1651 z120826.0007.ec.fits: ap = 106, w1 = 3627.381, w2 = 3550.983, dw = -0.0463, nw = 1651 z120826.0007.ec.fits: ap = 107, w1 = 3604.572, w2 = 3528.66, dw = -0.04601, nw = 1651 z120826.0007.ec.fits: ap = 108, w1 = 3582.049, w2 = 3506.615, dw = -0.04572, nw = 1651 z120826.0007.ec.fits: ap = 109, w1 = 3559.805, w2 = 3484.845, dw = -0.04543, nw = 1651 z120826.0007.ec.fits: ap = 110, w1 = 3537.836, w2 = 3463.343, dw = -0.04515, nw = 1651 z120826.0007.ec.fits: ap = 111, w1 = 3516.136, w2 = 3442.105, dw = -0.04487, nw = 1651 z120826.0007.ec.fits: ap = 112, w1 = 3494.7, w2 = 3421.126, dw = -0.04459, nw = 1651 z120826.0007.ec.fits: ap = 113, w1 = 3473.524, w2 = 3400.402, dw = -0.04432, nw = 1651 z120826.0007.ec.fits: ap = 114, w1 = 3452.603, w2 = 3379.927, dw = -0.04405, nw = 1651 z120826.0007.ec.fits: ap = 115, w1 = 3431.933, w2 = 3359.698, dw = -0.04378, nw = 1651 120826.0008.ec.fits: REFSPEC1 = '120826.0008.ec 1.' z120826.0008.ec.fits: ap = 1, w1 = 10811.97, w2 = 10583.73, dw = -0.13833, nw = 1651 z120826.0008.ec.fits: ap = 2, w1 = 10611.76, w2 = 10387.76, dw = -0.13576, nw = 1651 z120826.0008.ec.fits: ap = 3, w1 = 10418.83, w2 = 10198.91, dw = -0.13329, nw = 1651 z120826.0008.ec.fits: ap = 4, w1 = 10232.79, w2 = 10016.8, dw = -0.1309, nw = 1651 z120826.0008.ec.fits: ap = 5, w1 = 10053.28, w2 = 9841.084, dw = -0.1286, nw = 1651 z120826.0008.ec.fits: ap = 6, w1 = 9879.957, w2 = 9671.426, dw = -0.12638, nw = 1651 z120826.0008.ec.fits: ap = 7, w1 = 9712.511, w2 = 9507.52, dw = -0.12424, nw = 1651 z120826.0008.ec.fits: ap = 8, w1 = 9550.647, w2 = 9349.077, dw = -0.12216, nw = 1651 z120826.0008.ec.fits: ap = 9, w1 = 9394.089, w2 = 9195.828, dw = -0.12016, nw = 1651 z120826.0008.ec.fits: ap = 10, w1 = 9242.582, w2 = 9047.523, dw = -0.11822, nw = 1651 z120826.0008.ec.fits: ap = 11, w1 = 9095.885, w2 = 8903.927, dw = -0.11634, nw = 1651 z120826.0008.ec.fits: ap = 12, w1 = 8953.772, w2 = 8764.817, dw = -0.11452, nw = 1651 z120826.0008.ec.fits: ap = 13, w1 = 8816.032, w2 = 8629.988, dw = -0.11275, nw = 1651 z120826.0008.ec.fits: ap = 14, w1 = 8682.466, w2 = 8499.244, dw = -0.11104, nw = 1651 z120826.0008.ec.fits: ap = 15, w1 = 8552.887, w2 = 8372.403, dw = -0.10938, nw = 1651 z120826.0008.ec.fits: ap = 16, w1 = 8427.12, w2 = 8249.293, dw = -0.10777, nw = 1651 z120826.0008.ec.fits: ap = 17, w1 = 8304.998, w2 = 8129.751, dw = -0.10621, nw = 1651 z120826.0008.ec.fits: ap = 18, w1 = 8186.365, w2 = 8013.624, dw = -0.10469, nw = 1651 z120826.0008.ec.fits: ap = 19, w1 = 8071.074, w2 = 7900.769, dw = -0.10322, nw = 1651 z120826.0008.ec.fits: ap = 20, w1 = 7958.985, w2 = 7791.049, dw = -0.10178, nw = 1651 z120826.0008.ec.fits: ap = 21, w1 = 7849.968, w2 = 7684.334, dw = -0.10038, nw = 1651 z120826.0008.ec.fits: ap = 22, w1 = 7743.897, w2 = 7580.504, dw = -0.09903, nw = 1651 z120826.0008.ec.fits: ap = 23, w1 = 7640.655, w2 = 7479.442, dw = -0.0977, nw = 1651 z120826.0008.ec.fits: ap = 24, w1 = 7540.129, w2 = 7381.04, dw = -0.09642, nw = 1651 z120826.0008.ec.fits: ap = 25, w1 = 7442.215, w2 = 7285.194, dw = -0.09516, nw = 1651 z120826.0008.ec.fits: ap = 26, w1 = 7346.811, w2 = 7191.806, dw = -0.09394, nw = 1651 z120826.0008.ec.fits: ap = 27, w1 = 7253.823, w2 = 7100.782, dw = -0.09275, nw = 1651 z120826.0008.ec.fits: ap = 28, w1 = 7163.159, w2 = 7012.033, dw = -0.09159, nw = 1651 z120826.0008.ec.fits: ap = 29, w1 = 7074.734, w2 = 6925.476, dw = -0.09046, nw = 1651 z120826.0008.ec.fits: ap = 30, w1 = 6988.466, w2 = 6841.03, dw = -0.08936, nw = 1651 z120826.0008.ec.fits: ap = 31, w1 = 6904.277, w2 = 6758.619, dw = -0.08828, nw = 1651 z120826.0008.ec.fits: ap = 32, w1 = 6822.092, w2 = 6678.17, dw = -0.08723, nw = 1651 z120826.0008.ec.fits: ap = 33, w1 = 6741.841, w2 = 6599.614, dw = -0.0862, nw = 1651 z120826.0008.ec.fits: ap = 34, w1 = 6663.456, w2 = 6522.885, dw = -0.08519, nw = 1651 z120826.0008.ec.fits: ap = 35, w1 = 6586.874, w2 = 6447.92, dw = -0.08421, nw = 1651 z120826.0008.ec.fits: ap = 36, w1 = 6512.032, w2 = 6374.658, dw = -0.08326, nw = 1651 z120826.0008.ec.fits: ap = 37, w1 = 6438.871, w2 = 6303.043, dw = -0.08232, nw = 1651 z120826.0008.ec.fits: ap = 38, w1 = 6367.337, w2 = 6233.02, dw = -0.0814, nw = 1651 z120826.0008.ec.fits: ap = 39, w1 = 6297.375, w2 = 6164.535, dw = -0.08051, nw = 1651 z120826.0008.ec.fits: ap = 40, w1 = 6228.934, w2 = 6097.54, dw = -0.07963, nw = 1651 z120826.0008.ec.fits: ap = 41, w1 = 6161.964, w2 = 6031.985, dw = -0.07878, nw = 1651 z120826.0008.ec.fits: ap = 42, w1 = 6096.42, w2 = 5967.825, dw = -0.07794, nw = 1651 z120826.0008.ec.fits: ap = 43, w1 = 6032.255, w2 = 5905.016, dw = -0.07711, nw = 1651 z120826.0008.ec.fits: ap = 44, w1 = 5969.428, w2 = 5843.515, dw = -0.07631, nw = 1651 z120826.0008.ec.fits: ap = 45, w1 = 5907.896, w2 = 5783.283, dw = -0.07552, nw = 1651 z120826.0008.ec.fits: ap = 46, w1 = 5847.619, w2 = 5724.28, dw = -0.07475, nw = 1651 z120826.0008.ec.fits: ap = 47, w1 = 5788.561, w2 = 5666.469, dw = -0.074, nw = 1651 z120826.0008.ec.fits: ap = 48, w1 = 5730.683, w2 = 5609.814, dw = -0.07325, nw = 1651 z120826.0008.ec.fits: ap = 49, w1 = 5673.952, w2 = 5554.281, dw = -0.07253, nw = 1651 z120826.0008.ec.fits: ap = 50, w1 = 5618.333, w2 = 5499.837, dw = -0.07182, nw = 1651 z120826.0008.ec.fits: ap = 51, w1 = 5563.795, w2 = 5446.451, dw = -0.07112, nw = 1651 z120826.0008.ec.fits: ap = 52, w1 = 5510.305, w2 = 5394.091, dw = -0.07043, nw = 1651 z120826.0008.ec.fits: ap = 53, w1 = 5457.834, w2 = 5342.728, dw = -0.06976, nw = 1651 z120826.0008.ec.fits: ap = 54, w1 = 5406.353, w2 = 5292.335, dw = -0.0691, nw = 1651 z120826.0008.ec.fits: ap = 55, w1 = 5355.835, w2 = 5242.884, dw = -0.06845, nw = 1651 z120826.0008.ec.fits: ap = 56, w1 = 5306.252, w2 = 5194.349, dw = -0.06782, nw = 1651 z120826.0008.ec.fits: ap = 57, w1 = 5257.579, w2 = 5146.704, dw = -0.0672, nw = 1651 z120826.0008.ec.fits: ap = 58, w1 = 5209.791, w2 = 5099.925, dw = -0.06659, nw = 1651 z120826.0008.ec.fits: ap = 59, w1 = 5162.864, w2 = 5053.99, dw = -0.06598, nw = 1651 z120826.0008.ec.fits: ap = 60, w1 = 5116.775, w2 = 5008.875, dw = -0.06539, nw = 1651 z120826.0008.ec.fits: ap = 61, w1 = 5071.502, w2 = 4964.558, dw = -0.06481, nw = 1651 z120826.0008.ec.fits: ap = 62, w1 = 5027.024, w2 = 4921.02, dw = -0.06424, nw = 1651 z120826.0008.ec.fits: ap = 63, w1 = 4983.319, w2 = 4878.238, dw = -0.06369, nw = 1651 z120826.0008.ec.fits: ap = 64, w1 = 4940.367, w2 = 4836.194, dw = -0.06314, nw = 1651 z120826.0008.ec.fits: ap = 65, w1 = 4898.15, w2 = 4794.869, dw = -0.06259, nw = 1651 z120826.0008.ec.fits: ap = 66, w1 = 4856.649, w2 = 4754.244, dw = -0.06206, nw = 1651 z120826.0008.ec.fits: ap = 67, w1 = 4815.845, w2 = 4714.303, dw = -0.06154, nw = 1651 z120826.0008.ec.fits: ap = 68, w1 = 4775.722, w2 = 4675.027, dw = -0.06103, nw = 1651 z120826.0008.ec.fits: ap = 69, w1 = 4736.262, w2 = 4636.4, dw = -0.06052, nw = 1651 z120826.0008.ec.fits: ap = 70, w1 = 4697.448, w2 = 4598.407, dw = -0.06003, nw = 1651 z120826.0008.ec.fits: ap = 71, w1 = 4659.266, w2 = 4561.031, dw = -0.05954, nw = 1651 z120826.0008.ec.fits: ap = 72, w1 = 4621.7, w2 = 4524.259, dw = -0.05906, nw = 1651 z120826.0008.ec.fits: ap = 73, w1 = 4584.736, w2 = 4488.075, dw = -0.05858, nw = 1651 z120826.0008.ec.fits: ap = 74, w1 = 4548.358, w2 = 4452.465, dw = -0.05812, nw = 1651 z120826.0008.ec.fits: ap = 75, w1 = 4512.553, w2 = 4417.416, dw = -0.05766, nw = 1651 z120826.0008.ec.fits: ap = 76, w1 = 4477.308, w2 = 4382.915, dw = -0.05721, nw = 1651 z120826.0008.ec.fits: ap = 77, w1 = 4442.609, w2 = 4348.949, dw = -0.05676, nw = 1651 z120826.0008.ec.fits: ap = 78, w1 = 4408.444, w2 = 4315.506, dw = -0.05633, nw = 1651 z120826.0008.ec.fits: ap = 79, w1 = 4374.801, w2 = 4282.573, dw = -0.0559, nw = 1651 z120826.0008.ec.fits: ap = 80, w1 = 4341.668, w2 = 4250.14, dw = -0.05547, nw = 1651 z120826.0008.ec.fits: ap = 81, w1 = 4309.034, w2 = 4218.194, dw = -0.05505, nw = 1651 z120826.0008.ec.fits: ap = 82, w1 = 4276.886, w2 = 4186.725, dw = -0.05464, nw = 1651 z120826.0008.ec.fits: ap = 83, w1 = 4245.215, w2 = 4155.722, dw = -0.05424, nw = 1651 z120826.0008.ec.fits: ap = 84, w1 = 4214.01, w2 = 4125.176, dw = -0.05384, nw = 1651 z120826.0008.ec.fits: ap = 85, w1 = 4183.261, w2 = 4095.075, dw = -0.05345, nw = 1651 z120826.0008.ec.fits: ap = 86, w1 = 4152.958, w2 = 4065.411, dw = -0.05306, nw = 1651 z120826.0008.ec.fits: ap = 87, w1 = 4123.091, w2 = 4036.174, dw = -0.05268, nw = 1651 z120826.0008.ec.fits: ap = 88, w1 = 4093.65, w2 = 4007.355, dw = -0.0523, nw = 1651 z120826.0008.ec.fits: ap = 89, w1 = 4064.628, w2 = 3978.944, dw = -0.05193, nw = 1651 z120826.0008.ec.fits: ap = 90, w1 = 4036.014, w2 = 3950.934, dw = -0.05156, nw = 1651 z120826.0008.ec.fits: ap = 91, w1 = 4007.801, w2 = 3923.315, dw = -0.0512, nw = 1651 z120826.0008.ec.fits: ap = 92, w1 = 3979.98, w2 = 3896.08, dw = -0.05085, nw = 1651 z120826.0008.ec.fits: ap = 93, w1 = 3952.543, w2 = 3869.221, dw = -0.0505, nw = 1651 z120826.0008.ec.fits: ap = 94, w1 = 3925.482, w2 = 3842.73, dw = -0.05015, nw = 1651 z120826.0008.ec.fits: ap = 95, w1 = 3898.789, w2 = 3816.6, dw = -0.04981, nw = 1651 z120826.0008.ec.fits: ap = 96, w1 = 3872.458, w2 = 3790.823, dw = -0.04948, nw = 1651 z120826.0008.ec.fits: ap = 97, w1 = 3846.48, w2 = 3765.391, dw = -0.04914, nw = 1651 z120826.0008.ec.fits: ap = 98, w1 = 3820.848, w2 = 3740.299, dw = -0.04882, nw = 1651 z120826.0008.ec.fits: ap = 99, w1 = 3795.557, w2 = 3715.54, dw = -0.0485, nw = 1651 z120826.0008.ec.fits: ap = 100, w1 = 3770.598, w2 = 3691.106, dw = -0.04818, nw = 1651 z120826.0008.ec.fits: ap = 101, w1 = 3745.966, w2 = 3666.992, dw = -0.04786, nw = 1651 z120826.0008.ec.fits: ap = 102, w1 = 3721.654, w2 = 3643.191, dw = -0.04755, nw = 1651 z120826.0008.ec.fits: ap = 103, w1 = 3697.656, w2 = 3619.697, dw = -0.04725, nw = 1651 z120826.0008.ec.fits: ap = 104, w1 = 3673.967, w2 = 3596.505, dw = -0.04695, nw = 1651 z120826.0008.ec.fits: ap = 105, w1 = 3650.579, w2 = 3573.608, dw = -0.04665, nw = 1651 z120826.0008.ec.fits: ap = 106, w1 = 3627.487, w2 = 3551.001, dw = -0.04636, nw = 1651 z120826.0008.ec.fits: ap = 107, w1 = 3604.686, w2 = 3528.679, dw = -0.04607, nw = 1651 z120826.0008.ec.fits: ap = 108, w1 = 3582.171, w2 = 3506.635, dw = -0.04578, nw = 1651 z120826.0008.ec.fits: ap = 109, w1 = 3559.935, w2 = 3484.866, dw = -0.0455, nw = 1651 z120826.0008.ec.fits: ap = 110, w1 = 3537.975, w2 = 3463.365, dw = -0.04522, nw = 1651 z120826.0008.ec.fits: ap = 111, w1 = 3516.284, w2 = 3442.128, dw = -0.04494, nw = 1651 z120826.0008.ec.fits: ap = 112, w1 = 3494.858, w2 = 3421.151, dw = -0.04467, nw = 1651 z120826.0008.ec.fits: ap = 113, w1 = 3473.692, w2 = 3400.427, dw = -0.0444, nw = 1651 z120826.0008.ec.fits: ap = 114, w1 = 3452.781, w2 = 3379.954, dw = -0.04414, nw = 1651 z120826.0008.ec.fits: ap = 115, w1 = 3432.122, w2 = 3359.726, dw = -0.04388, nw = 1651 120826.0009.ec.fits: REFSPEC1 = '120826.0009.ec 1.' z120826.0009.ec.fits: ap = 1, w1 = 10811.92, w2 = 10583.74, dw = -0.13829, nw = 1651 z120826.0009.ec.fits: ap = 2, w1 = 10611.72, w2 = 10387.76, dw = -0.13573, nw = 1651 z120826.0009.ec.fits: ap = 3, w1 = 10418.79, w2 = 10198.91, dw = -0.13326, nw = 1651 z120826.0009.ec.fits: ap = 4, w1 = 10232.75, w2 = 10016.8, dw = -0.13088, nw = 1651 z120826.0009.ec.fits: ap = 5, w1 = 10053.25, w2 = 9841.087, dw = -0.12858, nw = 1651 z120826.0009.ec.fits: ap = 6, w1 = 9879.928, w2 = 9671.429, dw = -0.12636, nw = 1651 z120826.0009.ec.fits: ap = 7, w1 = 9712.485, w2 = 9507.522, dw = -0.12422, nw = 1651 z120826.0009.ec.fits: ap = 8, w1 = 9550.624, w2 = 9349.079, dw = -0.12215, nw = 1651 z120826.0009.ec.fits: ap = 9, w1 = 9394.069, w2 = 9195.83, dw = -0.12014, nw = 1651 z120826.0009.ec.fits: ap = 10, w1 = 9242.564, w2 = 9047.525, dw = -0.11821, nw = 1651 z120826.0009.ec.fits: ap = 11, w1 = 9095.869, w2 = 8903.928, dw = -0.11633, nw = 1651 z120826.0009.ec.fits: ap = 12, w1 = 8953.759, w2 = 8764.818, dw = -0.11451, nw = 1651 z120826.0009.ec.fits: ap = 13, w1 = 8816.02, w2 = 8629.989, dw = -0.11275, nw = 1651 z120826.0009.ec.fits: ap = 14, w1 = 8682.456, w2 = 8499.245, dw = -0.11104, nw = 1651 z120826.0009.ec.fits: ap = 15, w1 = 8552.879, w2 = 8372.404, dw = -0.10938, nw = 1651 z120826.0009.ec.fits: ap = 16, w1 = 8427.112, w2 = 8249.294, dw = -0.10777, nw = 1651 z120826.0009.ec.fits: ap = 17, w1 = 8304.991, w2 = 8129.751, dw = -0.10621, nw = 1651 z120826.0009.ec.fits: ap = 18, w1 = 8186.359, w2 = 8013.625, dw = -0.10469, nw = 1651 z120826.0009.ec.fits: ap = 19, w1 = 8071.069, w2 = 7900.769, dw = -0.10321, nw = 1651 z120826.0009.ec.fits: ap = 20, w1 = 7958.982, w2 = 7791.049, dw = -0.10178, nw = 1651 z120826.0009.ec.fits: ap = 21, w1 = 7849.965, w2 = 7684.334, dw = -0.10038, nw = 1651 z120826.0009.ec.fits: ap = 22, w1 = 7743.895, w2 = 7580.504, dw = -0.09902, nw = 1651 z120826.0009.ec.fits: ap = 23, w1 = 7640.653, w2 = 7479.443, dw = -0.0977, nw = 1651 z120826.0009.ec.fits: ap = 24, w1 = 7540.128, w2 = 7381.041, dw = -0.09642, nw = 1651 z120826.0009.ec.fits: ap = 25, w1 = 7442.214, w2 = 7285.194, dw = -0.09516, nw = 1651 z120826.0009.ec.fits: ap = 26, w1 = 7346.811, w2 = 7191.806, dw = -0.09394, nw = 1651 z120826.0009.ec.fits: ap = 27, w1 = 7253.823, w2 = 7100.782, dw = -0.09275, nw = 1651 z120826.0009.ec.fits: ap = 28, w1 = 7163.16, w2 = 7012.033, dw = -0.09159, nw = 1651 z120826.0009.ec.fits: ap = 29, w1 = 7074.735, w2 = 6925.476, dw = -0.09046, nw = 1651 z120826.0009.ec.fits: ap = 30, w1 = 6988.467, w2 = 6841.03, dw = -0.08936, nw = 1651 z120826.0009.ec.fits: ap = 31, w1 = 6904.278, w2 = 6758.619, dw = -0.08828, nw = 1651 z120826.0009.ec.fits: ap = 32, w1 = 6822.093, w2 = 6678.17, dw = -0.08723, nw = 1651 z120826.0009.ec.fits: ap = 33, w1 = 6741.842, w2 = 6599.614, dw = -0.0862, nw = 1651 z120826.0009.ec.fits: ap = 34, w1 = 6663.458, w2 = 6522.885, dw = -0.0852, nw = 1651 z120826.0009.ec.fits: ap = 35, w1 = 6586.875, w2 = 6447.92, dw = -0.08422, nw = 1651 z120826.0009.ec.fits: ap = 36, w1 = 6512.033, w2 = 6374.658, dw = -0.08326, nw = 1651 z120826.0009.ec.fits: ap = 37, w1 = 6438.873, w2 = 6303.043, dw = -0.08232, nw = 1651 z120826.0009.ec.fits: ap = 38, w1 = 6367.339, w2 = 6233.02, dw = -0.08141, nw = 1651 z120826.0009.ec.fits: ap = 39, w1 = 6297.377, w2 = 6164.535, dw = -0.08051, nw = 1651 z120826.0009.ec.fits: ap = 40, w1 = 6228.935, w2 = 6097.54, dw = -0.07963, nw = 1651 z120826.0009.ec.fits: ap = 41, w1 = 6161.966, w2 = 6031.985, dw = -0.07878, nw = 1651 z120826.0009.ec.fits: ap = 42, w1 = 6096.422, w2 = 5967.825, dw = -0.07794, nw = 1651 z120826.0009.ec.fits: ap = 43, w1 = 6032.257, w2 = 5905.016, dw = -0.07712, nw = 1651 z120826.0009.ec.fits: ap = 44, w1 = 5969.43, w2 = 5843.515, dw = -0.07631, nw = 1651 z120826.0009.ec.fits: ap = 45, w1 = 5907.898, w2 = 5783.283, dw = -0.07552, nw = 1651 z120826.0009.ec.fits: ap = 46, w1 = 5847.621, w2 = 5724.28, dw = -0.07475, nw = 1651 z120826.0009.ec.fits: ap = 47, w1 = 5788.563, w2 = 5666.468, dw = -0.074, nw = 1651 z120826.0009.ec.fits: ap = 48, w1 = 5730.685, w2 = 5609.814, dw = -0.07326, nw = 1651 z120826.0009.ec.fits: ap = 49, w1 = 5673.954, w2 = 5554.281, dw = -0.07253, nw = 1651 z120826.0009.ec.fits: ap = 50, w1 = 5618.335, w2 = 5499.837, dw = -0.07182, nw = 1651 z120826.0009.ec.fits: ap = 51, w1 = 5563.796, w2 = 5446.45, dw = -0.07112, nw = 1651 z120826.0009.ec.fits: ap = 52, w1 = 5510.306, w2 = 5394.09, dw = -0.07043, nw = 1651 z120826.0009.ec.fits: ap = 53, w1 = 5457.835, w2 = 5342.728, dw = -0.06976, nw = 1651 z120826.0009.ec.fits: ap = 54, w1 = 5406.355, w2 = 5292.334, dw = -0.0691, nw = 1651 z120826.0009.ec.fits: ap = 55, w1 = 5355.836, w2 = 5242.883, dw = -0.06846, nw = 1651 z120826.0009.ec.fits: ap = 56, w1 = 5306.253, w2 = 5194.348, dw = -0.06782, nw = 1651 z120826.0009.ec.fits: ap = 57, w1 = 5257.58, w2 = 5146.703, dw = -0.0672, nw = 1651 z120826.0009.ec.fits: ap = 58, w1 = 5209.792, w2 = 5099.924, dw = -0.06659, nw = 1651 z120826.0009.ec.fits: ap = 59, w1 = 5162.865, w2 = 5053.989, dw = -0.06599, nw = 1651 z120826.0009.ec.fits: ap = 60, w1 = 5116.776, w2 = 5008.874, dw = -0.0654, nw = 1651 z120826.0009.ec.fits: ap = 61, w1 = 5071.503, w2 = 4964.557, dw = -0.06482, nw = 1651 z120826.0009.ec.fits: ap = 62, w1 = 5027.024, w2 = 4921.018, dw = -0.06425, nw = 1651 z120826.0009.ec.fits: ap = 63, w1 = 4983.319, w2 = 4878.237, dw = -0.06369, nw = 1651 z120826.0009.ec.fits: ap = 64, w1 = 4940.367, w2 = 4836.193, dw = -0.06314, nw = 1651 z120826.0009.ec.fits: ap = 65, w1 = 4898.15, w2 = 4794.867, dw = -0.0626, nw = 1651 z120826.0009.ec.fits: ap = 66, w1 = 4856.648, w2 = 4754.243, dw = -0.06206, nw = 1651 z120826.0009.ec.fits: ap = 67, w1 = 4815.844, w2 = 4714.301, dw = -0.06154, nw = 1651 z120826.0009.ec.fits: ap = 68, w1 = 4775.72, w2 = 4675.025, dw = -0.06103, nw = 1651 z120826.0009.ec.fits: ap = 69, w1 = 4736.26, w2 = 4636.398, dw = -0.06052, nw = 1651 z120826.0009.ec.fits: ap = 70, w1 = 4697.446, w2 = 4598.405, dw = -0.06002, nw = 1651 z120826.0009.ec.fits: ap = 71, w1 = 4659.264, w2 = 4561.03, dw = -0.05954, nw = 1651 z120826.0009.ec.fits: ap = 72, w1 = 4621.697, w2 = 4524.257, dw = -0.05905, nw = 1651 z120826.0009.ec.fits: ap = 73, w1 = 4584.732, w2 = 4488.073, dw = -0.05858, nw = 1651 z120826.0009.ec.fits: ap = 74, w1 = 4548.353, w2 = 4452.463, dw = -0.05812, nw = 1651 z120826.0009.ec.fits: ap = 75, w1 = 4512.548, w2 = 4417.415, dw = -0.05766, nw = 1651 z120826.0009.ec.fits: ap = 76, w1 = 4477.302, w2 = 4382.914, dw = -0.0572, nw = 1651 z120826.0009.ec.fits: ap = 77, w1 = 4442.602, w2 = 4348.948, dw = -0.05676, nw = 1651 z120826.0009.ec.fits: ap = 78, w1 = 4408.437, w2 = 4315.504, dw = -0.05632, nw = 1651 z120826.0009.ec.fits: ap = 79, w1 = 4374.793, w2 = 4282.572, dw = -0.05589, nw = 1651 z120826.0009.ec.fits: ap = 80, w1 = 4341.659, w2 = 4250.138, dw = -0.05547, nw = 1651 z120826.0009.ec.fits: ap = 81, w1 = 4309.023, w2 = 4218.193, dw = -0.05505, nw = 1651 z120826.0009.ec.fits: ap = 82, w1 = 4276.875, w2 = 4186.724, dw = -0.05464, nw = 1651 z120826.0009.ec.fits: ap = 83, w1 = 4245.203, w2 = 4155.721, dw = -0.05423, nw = 1651 z120826.0009.ec.fits: ap = 84, w1 = 4213.996, w2 = 4125.175, dw = -0.05383, nw = 1651 z120826.0009.ec.fits: ap = 85, w1 = 4183.246, w2 = 4095.075, dw = -0.05344, nw = 1651 z120826.0009.ec.fits: ap = 86, w1 = 4152.941, w2 = 4065.411, dw = -0.05305, nw = 1651 z120826.0009.ec.fits: ap = 87, w1 = 4123.072, w2 = 4036.174, dw = -0.05267, nw = 1651 z120826.0009.ec.fits: ap = 88, w1 = 4093.63, w2 = 4007.354, dw = -0.05229, nw = 1651 z120826.0009.ec.fits: ap = 89, w1 = 4064.606, w2 = 3978.944, dw = -0.05192, nw = 1651 z120826.0009.ec.fits: ap = 90, w1 = 4035.991, w2 = 3950.934, dw = -0.05155, nw = 1651 z120826.0009.ec.fits: ap = 91, w1 = 4007.776, w2 = 3923.316, dw = -0.05119, nw = 1651 z120826.0009.ec.fits: ap = 92, w1 = 3979.953, w2 = 3896.081, dw = -0.05083, nw = 1651 z120826.0009.ec.fits: ap = 93, w1 = 3952.514, w2 = 3869.222, dw = -0.05048, nw = 1651 z120826.0009.ec.fits: ap = 94, w1 = 3925.451, w2 = 3842.732, dw = -0.05013, nw = 1651 z120826.0009.ec.fits: ap = 95, w1 = 3898.756, w2 = 3816.602, dw = -0.04979, nw = 1651 z120826.0009.ec.fits: ap = 96, w1 = 3872.422, w2 = 3790.825, dw = -0.04945, nw = 1651 z120826.0009.ec.fits: ap = 97, w1 = 3846.442, w2 = 3765.394, dw = -0.04912, nw = 1651 z120826.0009.ec.fits: ap = 98, w1 = 3820.808, w2 = 3740.302, dw = -0.04879, nw = 1651 z120826.0009.ec.fits: ap = 99, w1 = 3795.514, w2 = 3715.543, dw = -0.04847, nw = 1651 z120826.0009.ec.fits: ap = 100, w1 = 3770.552, w2 = 3691.11, dw = -0.04815, nw = 1651 z120826.0009.ec.fits: ap = 101, w1 = 3745.917, w2 = 3666.996, dw = -0.04783, nw = 1651 z120826.0009.ec.fits: ap = 102, w1 = 3721.603, w2 = 3643.196, dw = -0.04752, nw = 1651 z120826.0009.ec.fits: ap = 103, w1 = 3697.602, w2 = 3619.703, dw = -0.04721, nw = 1651 z120826.0009.ec.fits: ap = 104, w1 = 3673.908, w2 = 3596.511, dw = -0.04691, nw = 1651 z120826.0009.ec.fits: ap = 105, w1 = 3650.517, w2 = 3573.615, dw = -0.04661, nw = 1651 z120826.0009.ec.fits: ap = 106, w1 = 3627.422, w2 = 3551.008, dw = -0.04631, nw = 1651 z120826.0009.ec.fits: ap = 107, w1 = 3604.618, w2 = 3528.686, dw = -0.04602, nw = 1651 z120826.0009.ec.fits: ap = 108, w1 = 3582.098, w2 = 3506.644, dw = -0.04573, nw = 1651 z120826.0009.ec.fits: ap = 109, w1 = 3559.859, w2 = 3484.875, dw = -0.04544, nw = 1651 z120826.0009.ec.fits: ap = 110, w1 = 3537.894, w2 = 3463.375, dw = -0.04516, nw = 1651 z120826.0009.ec.fits: ap = 111, w1 = 3516.199, w2 = 3442.139, dw = -0.04488, nw = 1651 z120826.0009.ec.fits: ap = 112, w1 = 3494.769, w2 = 3421.163, dw = -0.04461, nw = 1651 z120826.0009.ec.fits: ap = 113, w1 = 3473.598, w2 = 3400.44, dw = -0.04434, nw = 1651 z120826.0009.ec.fits: ap = 114, w1 = 3452.683, w2 = 3379.968, dw = -0.04407, nw = 1651 z120826.0009.ec.fits: ap = 115, w1 = 3432.018, w2 = 3359.74, dw = -0.0438, nw = 1651 Continuum fitting the spectra... Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Combining spectra... Dec 10 13:18: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120826.0001.ec.fits[ 1] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 2] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 3] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 4] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 5] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 6] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 7] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 8] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 9] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 10] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 11] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 12] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 13] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 14] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 15] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 16] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 17] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 18] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 19] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 20] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 21] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 22] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 23] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 24] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 25] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 26] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 27] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 28] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 29] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 30] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 31] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 32] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 33] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 34] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 35] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 36] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 37] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 38] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 39] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 40] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 41] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 42] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 43] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 44] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 45] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 46] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 47] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 48] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 49] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 50] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 51] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 52] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 53] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 54] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 55] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 56] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 57] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 58] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 59] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 60] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 61] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 62] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 63] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 64] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 65] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 66] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 67] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 68] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 69] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 70] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 71] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 72] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 73] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 74] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 75] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 76] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 77] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 78] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 79] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 80] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 81] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 82] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 83] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 84] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 85] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 86] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 87] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 88] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 89] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 90] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 91] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 92] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 93] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 94] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 95] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 96] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 97] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 98] 720.0 1.000 0. 0.009 120826.0001.ec.fits[ 99] 720.0 1.000 0. 0.009 120826.0001.ec.fits[100] 720.0 1.000 0. 0.009 120826.0001.ec.fits[101] 720.0 1.000 0. 0.009 120826.0001.ec.fits[102] 720.0 1.000 0. 0.009 120826.0001.ec.fits[103] 720.0 1.000 0. 0.009 120826.0001.ec.fits[104] 720.0 1.000 0. 0.009 120826.0001.ec.fits[105] 720.0 1.000 0. 0.009 120826.0001.ec.fits[106] 720.0 1.000 0. 0.009 120826.0001.ec.fits[107] 720.0 1.000 0. 0.009 120826.0001.ec.fits[108] 720.0 1.000 0. 0.009 120826.0001.ec.fits[109] 720.0 1.000 0. 0.009 120826.0001.ec.fits[110] 720.0 1.000 0. 0.009 120826.0001.ec.fits[111] 720.0 1.000 0. 0.009 120826.0001.ec.fits[112] 720.0 1.000 0. 0.009 120826.0001.ec.fits[113] 720.0 1.000 0. 0.009 120826.0001.ec.fits[114] 720.0 1.000 0. 0.009 120826.0001.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum120826.0001.ec.fits, ncombine = 115, exptime = 82800.01 w1 = 3359.708, w2 = 10811.96, dw = 0.04390676, nw = 169730., dtype = 0 Dec 10 13:19: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120826.0002.ec.fits[ 1] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 2] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 3] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 4] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 5] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 6] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 7] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 8] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 9] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 10] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 11] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 12] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 13] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 14] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 15] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 16] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 17] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 18] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 19] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 20] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 21] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 22] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 23] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 24] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 25] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 26] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 27] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 28] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 29] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 30] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 31] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 32] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 33] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 34] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 35] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 36] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 37] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 38] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 39] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 40] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 41] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 42] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 43] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 44] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 45] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 46] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 47] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 48] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 49] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 50] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 51] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 52] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 53] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 54] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 55] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 56] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 57] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 58] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 59] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 60] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 61] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 62] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 63] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 64] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 65] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 66] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 67] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 68] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 69] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 70] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 71] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 72] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 73] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 74] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 75] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 76] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 77] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 78] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 79] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 80] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 81] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 82] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 83] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 84] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 85] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 86] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 87] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 88] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 89] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 90] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 91] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 92] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 93] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 94] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 95] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 96] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 97] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 98] 720.0 1.000 0. 0.009 120826.0002.ec.fits[ 99] 720.0 1.000 0. 0.009 120826.0002.ec.fits[100] 720.0 1.000 0. 0.009 120826.0002.ec.fits[101] 720.0 1.000 0. 0.009 120826.0002.ec.fits[102] 720.0 1.000 0. 0.009 120826.0002.ec.fits[103] 720.0 1.000 0. 0.009 120826.0002.ec.fits[104] 720.0 1.000 0. 0.009 120826.0002.ec.fits[105] 720.0 1.000 0. 0.009 120826.0002.ec.fits[106] 720.0 1.000 0. 0.009 120826.0002.ec.fits[107] 720.0 1.000 0. 0.009 120826.0002.ec.fits[108] 720.0 1.000 0. 0.009 120826.0002.ec.fits[109] 720.0 1.000 0. 0.009 120826.0002.ec.fits[110] 720.0 1.000 0. 0.009 120826.0002.ec.fits[111] 720.0 1.000 0. 0.009 120826.0002.ec.fits[112] 720.0 1.000 0. 0.009 120826.0002.ec.fits[113] 720.0 1.000 0. 0.009 120826.0002.ec.fits[114] 720.0 1.000 0. 0.009 120826.0002.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum120826.0002.ec.fits, ncombine = 115, exptime = 82800.01 w1 = 3359.708, w2 = 10811.96, dw = 0.04390676, nw = 169730., dtype = 0 Dec 10 13:20: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120826.0003.ec.fits[ 1] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 2] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 3] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 4] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 5] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 6] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 7] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 8] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 9] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 10] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 11] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 12] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 13] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 14] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 15] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 16] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 17] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 18] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 19] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 20] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 21] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 22] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 23] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 24] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 25] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 26] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 27] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 28] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 29] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 30] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 31] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 32] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 33] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 34] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 35] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 36] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 37] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 38] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 39] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 40] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 41] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 42] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 43] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 44] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 45] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 46] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 47] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 48] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 49] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 50] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 51] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 52] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 53] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 54] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 55] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 56] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 57] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 58] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 59] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 60] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 61] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 62] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 63] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 64] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 65] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 66] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 67] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 68] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 69] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 70] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 71] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 72] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 73] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 74] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 75] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 76] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 77] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 78] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 79] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 80] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 81] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 82] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 83] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 84] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 85] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 86] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 87] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 88] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 89] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 90] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 91] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 92] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 93] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 94] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 95] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 96] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 97] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 98] 720.0 1.000 0. 0.009 120826.0003.ec.fits[ 99] 720.0 1.000 0. 0.009 120826.0003.ec.fits[100] 720.0 1.000 0. 0.009 120826.0003.ec.fits[101] 720.0 1.000 0. 0.009 120826.0003.ec.fits[102] 720.0 1.000 0. 0.009 120826.0003.ec.fits[103] 720.0 1.000 0. 0.009 120826.0003.ec.fits[104] 720.0 1.000 0. 0.009 120826.0003.ec.fits[105] 720.0 1.000 0. 0.009 120826.0003.ec.fits[106] 720.0 1.000 0. 0.009 120826.0003.ec.fits[107] 720.0 1.000 0. 0.009 120826.0003.ec.fits[108] 720.0 1.000 0. 0.009 120826.0003.ec.fits[109] 720.0 1.000 0. 0.009 120826.0003.ec.fits[110] 720.0 1.000 0. 0.009 120826.0003.ec.fits[111] 720.0 1.000 0. 0.009 120826.0003.ec.fits[112] 720.0 1.000 0. 0.009 120826.0003.ec.fits[113] 720.0 1.000 0. 0.009 120826.0003.ec.fits[114] 720.0 1.000 0. 0.009 120826.0003.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum120826.0003.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.708, w2 = 10811.96, dw = 0.04390676, nw = 169730., dtype = 0 Dec 10 13:21: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120826.0005.ec.fits[ 1] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 2] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 3] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 4] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 5] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 6] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 7] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 8] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 9] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 10] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 11] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 12] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 13] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 14] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 15] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 16] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 17] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 18] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 19] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 20] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 21] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 22] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 23] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 24] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 25] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 26] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 27] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 28] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 29] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 30] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 31] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 32] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 33] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 34] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 35] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 36] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 37] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 38] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 39] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 40] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 41] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 42] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 43] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 44] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 45] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 46] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 47] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 48] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 49] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 50] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 51] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 52] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 53] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 54] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 55] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 56] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 57] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 58] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 59] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 60] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 61] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 62] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 63] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 64] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 65] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 66] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 67] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 68] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 69] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 70] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 71] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 72] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 73] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 74] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 75] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 76] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 77] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 78] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 79] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 80] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 81] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 82] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 83] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 84] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 85] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 86] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 87] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 88] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 89] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 90] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 91] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 92] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 93] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 94] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 95] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 96] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 97] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 98] 900.0 1.000 0. 0.009 120826.0005.ec.fits[ 99] 900.0 1.000 0. 0.009 120826.0005.ec.fits[100] 900.0 1.000 0. 0.009 120826.0005.ec.fits[101] 900.0 1.000 0. 0.009 120826.0005.ec.fits[102] 900.0 1.000 0. 0.009 120826.0005.ec.fits[103] 900.0 1.000 0. 0.009 120826.0005.ec.fits[104] 900.0 1.000 0. 0.009 120826.0005.ec.fits[105] 900.0 1.000 0. 0.009 120826.0005.ec.fits[106] 900.0 1.000 0. 0.009 120826.0005.ec.fits[107] 900.0 1.000 0. 0.009 120826.0005.ec.fits[108] 900.0 1.000 0. 0.009 120826.0005.ec.fits[109] 900.0 1.000 0. 0.009 120826.0005.ec.fits[110] 900.0 1.000 0. 0.009 120826.0005.ec.fits[111] 900.0 1.000 0. 0.009 120826.0005.ec.fits[112] 900.0 1.000 0. 0.009 120826.0005.ec.fits[113] 900.0 1.000 0. 0.009 120826.0005.ec.fits[114] 900.0 1.000 0. 0.009 120826.0005.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum120826.0005.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.708, w2 = 10811.96, dw = 0.04390676, nw = 169730., dtype = 0 Dec 10 13:22: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120826.0026.ec.fits[ 1] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 2] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 3] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 4] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 5] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 6] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 7] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 8] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 9] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 10] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 11] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 12] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 13] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 14] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 15] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 16] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 17] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 18] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 19] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 20] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 21] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 22] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 23] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 24] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 25] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 26] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 27] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 28] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 29] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 30] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 31] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 32] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 33] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 34] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 35] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 36] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 37] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 38] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 39] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 40] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 41] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 42] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 43] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 44] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 45] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 46] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 47] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 48] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 49] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 50] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 51] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 52] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 53] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 54] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 55] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 56] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 57] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 58] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 59] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 60] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 61] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 62] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 63] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 64] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 65] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 66] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 67] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 68] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 69] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 70] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 71] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 72] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 73] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 74] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 75] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 76] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 77] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 78] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 79] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 80] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 81] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 82] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 83] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 84] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 85] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 86] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 87] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 88] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 89] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 90] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 91] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 92] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 93] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 94] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 95] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 96] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 97] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 98] 900.0 1.000 0. 0.009 120826.0026.ec.fits[ 99] 900.0 1.000 0. 0.009 120826.0026.ec.fits[100] 900.0 1.000 0. 0.009 120826.0026.ec.fits[101] 900.0 1.000 0. 0.009 120826.0026.ec.fits[102] 900.0 1.000 0. 0.009 120826.0026.ec.fits[103] 900.0 1.000 0. 0.009 120826.0026.ec.fits[104] 900.0 1.000 0. 0.009 120826.0026.ec.fits[105] 900.0 1.000 0. 0.009 120826.0026.ec.fits[106] 900.0 1.000 0. 0.009 120826.0026.ec.fits[107] 900.0 1.000 0. 0.009 120826.0026.ec.fits[108] 900.0 1.000 0. 0.009 120826.0026.ec.fits[109] 900.0 1.000 0. 0.009 120826.0026.ec.fits[110] 900.0 1.000 0. 0.009 120826.0026.ec.fits[111] 900.0 1.000 0. 0.009 120826.0026.ec.fits[112] 900.0 1.000 0. 0.009 120826.0026.ec.fits[113] 900.0 1.000 0. 0.009 120826.0026.ec.fits[114] 900.0 1.000 0. 0.009 120826.0026.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum120826.0026.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.74, w2 = 10811.92, dw = 0.04380466, nw = 170124., dtype = 0 Dec 10 13:24: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120826.0027.ec.fits[ 1] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 2] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 3] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 4] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 5] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 6] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 7] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 8] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 9] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 10] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 11] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 12] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 13] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 14] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 15] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 16] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 17] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 18] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 19] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 20] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 21] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 22] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 23] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 24] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 25] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 26] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 27] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 28] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 29] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 30] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 31] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 32] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 33] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 34] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 35] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 36] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 37] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 38] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 39] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 40] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 41] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 42] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 43] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 44] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 45] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 46] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 47] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 48] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 49] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 50] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 51] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 52] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 53] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 54] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 55] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 56] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 57] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 58] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 59] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 60] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 61] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 62] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 63] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 64] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 65] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 66] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 67] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 68] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 69] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 70] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 71] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 72] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 73] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 74] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 75] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 76] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 77] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 78] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 79] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 80] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 81] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 82] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 83] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 84] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 85] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 86] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 87] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 88] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 89] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 90] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 91] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 92] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 93] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 94] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 95] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 96] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 97] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 98] 900.0 1.000 0. 0.009 120826.0027.ec.fits[ 99] 900.0 1.000 0. 0.009 120826.0027.ec.fits[100] 900.0 1.000 0. 0.009 120826.0027.ec.fits[101] 900.0 1.000 0. 0.009 120826.0027.ec.fits[102] 900.0 1.000 0. 0.009 120826.0027.ec.fits[103] 900.0 1.000 0. 0.009 120826.0027.ec.fits[104] 900.0 1.000 0. 0.009 120826.0027.ec.fits[105] 900.0 1.000 0. 0.009 120826.0027.ec.fits[106] 900.0 1.000 0. 0.009 120826.0027.ec.fits[107] 900.0 1.000 0. 0.009 120826.0027.ec.fits[108] 900.0 1.000 0. 0.009 120826.0027.ec.fits[109] 900.0 1.000 0. 0.009 120826.0027.ec.fits[110] 900.0 1.000 0. 0.009 120826.0027.ec.fits[111] 900.0 1.000 0. 0.009 120826.0027.ec.fits[112] 900.0 1.000 0. 0.009 120826.0027.ec.fits[113] 900.0 1.000 0. 0.009 120826.0027.ec.fits[114] 900.0 1.000 0. 0.009 120826.0027.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum120826.0027.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.74, w2 = 10811.92, dw = 0.04380466, nw = 170124., dtype = 0 Dec 10 13:25: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120826.0028.ec.fits[ 1] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 2] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 3] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 4] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 5] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 6] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 7] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 8] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 9] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 10] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 11] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 12] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 13] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 14] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 15] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 16] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 17] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 18] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 19] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 20] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 21] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 22] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 23] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 24] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 25] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 26] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 27] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 28] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 29] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 30] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 31] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 32] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 33] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 34] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 35] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 36] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 37] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 38] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 39] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 40] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 41] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 42] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 43] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 44] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 45] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 46] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 47] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 48] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 49] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 50] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 51] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 52] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 53] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 54] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 55] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 56] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 57] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 58] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 59] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 60] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 61] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 62] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 63] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 64] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 65] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 66] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 67] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 68] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 69] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 70] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 71] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 72] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 73] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 74] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 75] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 76] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 77] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 78] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 79] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 80] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 81] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 82] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 83] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 84] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 85] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 86] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 87] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 88] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 89] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 90] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 91] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 92] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 93] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 94] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 95] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 96] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 97] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 98] 900.0 1.000 0. 0.009 120826.0028.ec.fits[ 99] 900.0 1.000 0. 0.009 120826.0028.ec.fits[100] 900.0 1.000 0. 0.009 120826.0028.ec.fits[101] 900.0 1.000 0. 0.009 120826.0028.ec.fits[102] 900.0 1.000 0. 0.009 120826.0028.ec.fits[103] 900.0 1.000 0. 0.009 120826.0028.ec.fits[104] 900.0 1.000 0. 0.009 120826.0028.ec.fits[105] 900.0 1.000 0. 0.009 120826.0028.ec.fits[106] 900.0 1.000 0. 0.009 120826.0028.ec.fits[107] 900.0 1.000 0. 0.009 120826.0028.ec.fits[108] 900.0 1.000 0. 0.009 120826.0028.ec.fits[109] 900.0 1.000 0. 0.009 120826.0028.ec.fits[110] 900.0 1.000 0. 0.009 120826.0028.ec.fits[111] 900.0 1.000 0. 0.009 120826.0028.ec.fits[112] 900.0 1.000 0. 0.009 120826.0028.ec.fits[113] 900.0 1.000 0. 0.009 120826.0028.ec.fits[114] 900.0 1.000 0. 0.009 120826.0028.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum120826.0028.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.74, w2 = 10811.92, dw = 0.04380466, nw = 170124., dtype = 0 Dec 10 13:26: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120826.0029.ec.fits[ 1] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 2] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 3] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 4] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 5] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 6] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 7] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 8] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 9] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 10] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 11] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 12] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 13] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 14] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 15] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 16] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 17] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 18] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 19] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 20] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 21] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 22] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 23] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 24] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 25] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 26] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 27] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 28] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 29] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 30] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 31] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 32] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 33] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 34] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 35] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 36] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 37] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 38] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 39] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 40] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 41] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 42] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 43] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 44] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 45] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 46] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 47] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 48] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 49] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 50] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 51] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 52] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 53] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 54] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 55] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 56] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 57] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 58] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 59] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 60] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 61] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 62] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 63] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 64] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 65] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 66] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 67] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 68] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 69] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 70] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 71] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 72] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 73] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 74] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 75] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 76] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 77] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 78] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 79] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 80] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 81] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 82] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 83] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 84] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 85] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 86] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 87] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 88] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 89] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 90] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 91] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 92] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 93] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 94] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 95] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 96] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 97] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 98] 600.0 1.000 0. 0.009 120826.0029.ec.fits[ 99] 600.0 1.000 0. 0.009 120826.0029.ec.fits[100] 600.0 1.000 0. 0.009 120826.0029.ec.fits[101] 600.0 1.000 0. 0.009 120826.0029.ec.fits[102] 600.0 1.000 0. 0.009 120826.0029.ec.fits[103] 600.0 1.000 0. 0.009 120826.0029.ec.fits[104] 600.0 1.000 0. 0.009 120826.0029.ec.fits[105] 600.0 1.000 0. 0.009 120826.0029.ec.fits[106] 600.0 1.000 0. 0.009 120826.0029.ec.fits[107] 600.0 1.000 0. 0.009 120826.0029.ec.fits[108] 600.0 1.000 0. 0.009 120826.0029.ec.fits[109] 600.0 1.000 0. 0.009 120826.0029.ec.fits[110] 600.0 1.000 0. 0.009 120826.0029.ec.fits[111] 600.0 1.000 0. 0.009 120826.0029.ec.fits[112] 600.0 1.000 0. 0.009 120826.0029.ec.fits[113] 600.0 1.000 0. 0.009 120826.0029.ec.fits[114] 600.0 1.000 0. 0.009 120826.0029.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sum120826.0029.ec.fits, ncombine = 115, exptime = 68999.99 w1 = 3359.74, w2 = 10811.92, dw = 0.04380466, nw = 170124., dtype = 0 Dec 10 13:27: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120826.0030.ec.fits[ 1] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 2] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 3] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 4] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 5] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 6] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 7] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 8] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 9] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 10] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 11] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 12] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 13] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 14] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 15] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 16] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 17] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 18] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 19] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 20] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 21] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 22] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 23] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 24] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 25] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 26] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 27] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 28] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 29] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 30] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 31] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 32] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 33] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 34] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 35] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 36] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 37] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 38] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 39] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 40] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 41] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 42] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 43] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 44] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 45] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 46] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 47] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 48] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 49] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 50] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 51] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 52] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 53] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 54] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 55] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 56] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 57] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 58] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 59] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 60] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 61] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 62] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 63] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 64] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 65] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 66] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 67] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 68] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 69] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 70] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 71] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 72] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 73] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 74] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 75] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 76] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 77] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 78] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 79] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 80] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 81] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 82] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 83] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 84] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 85] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 86] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 87] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 88] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 89] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 90] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 91] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 92] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 93] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 94] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 95] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 96] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 97] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 98] 600.0 1.000 0. 0.009 120826.0030.ec.fits[ 99] 600.0 1.000 0. 0.009 120826.0030.ec.fits[100] 600.0 1.000 0. 0.009 120826.0030.ec.fits[101] 600.0 1.000 0. 0.009 120826.0030.ec.fits[102] 600.0 1.000 0. 0.009 120826.0030.ec.fits[103] 600.0 1.000 0. 0.009 120826.0030.ec.fits[104] 600.0 1.000 0. 0.009 120826.0030.ec.fits[105] 600.0 1.000 0. 0.009 120826.0030.ec.fits[106] 600.0 1.000 0. 0.009 120826.0030.ec.fits[107] 600.0 1.000 0. 0.009 120826.0030.ec.fits[108] 600.0 1.000 0. 0.009 120826.0030.ec.fits[109] 600.0 1.000 0. 0.009 120826.0030.ec.fits[110] 600.0 1.000 0. 0.009 120826.0030.ec.fits[111] 600.0 1.000 0. 0.009 120826.0030.ec.fits[112] 600.0 1.000 0. 0.009 120826.0030.ec.fits[113] 600.0 1.000 0. 0.009 120826.0030.ec.fits[114] 600.0 1.000 0. 0.009 120826.0030.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sum120826.0030.ec.fits, ncombine = 115, exptime = 69000.02 w1 = 3359.74, w2 = 10811.92, dw = 0.04380466, nw = 170124., dtype = 0 Dec 10 13:28: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120826.0031.ec.fits[ 1] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 2] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 3] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 4] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 5] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 6] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 7] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 8] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 9] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 10] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 11] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 12] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 13] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 14] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 15] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 16] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 17] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 18] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 19] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 20] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 21] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 22] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 23] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 24] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 25] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 26] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 27] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 28] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 29] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 30] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 31] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 32] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 33] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 34] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 35] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 36] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 37] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 38] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 39] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 40] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 41] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 42] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 43] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 44] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 45] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 46] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 47] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 48] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 49] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 50] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 51] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 52] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 53] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 54] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 55] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 56] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 57] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 58] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 59] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 60] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 61] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 62] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 63] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 64] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 65] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 66] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 67] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 68] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 69] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 70] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 71] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 72] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 73] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 74] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 75] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 76] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 77] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 78] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 79] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 80] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 81] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 82] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 83] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 84] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 85] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 86] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 87] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 88] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 89] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 90] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 91] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 92] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 93] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 94] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 95] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 96] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 97] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 98] 600.0 1.000 0. 0.009 120826.0031.ec.fits[ 99] 600.0 1.000 0. 0.009 120826.0031.ec.fits[100] 600.0 1.000 0. 0.009 120826.0031.ec.fits[101] 600.0 1.000 0. 0.009 120826.0031.ec.fits[102] 600.0 1.000 0. 0.009 120826.0031.ec.fits[103] 600.0 1.000 0. 0.009 120826.0031.ec.fits[104] 600.0 1.000 0. 0.009 120826.0031.ec.fits[105] 600.0 1.000 0. 0.009 120826.0031.ec.fits[106] 600.0 1.000 0. 0.009 120826.0031.ec.fits[107] 600.0 1.000 0. 0.009 120826.0031.ec.fits[108] 600.0 1.000 0. 0.009 120826.0031.ec.fits[109] 600.0 1.000 0. 0.009 120826.0031.ec.fits[110] 600.0 1.000 0. 0.009 120826.0031.ec.fits[111] 600.0 1.000 0. 0.009 120826.0031.ec.fits[112] 600.0 1.000 0. 0.009 120826.0031.ec.fits[113] 600.0 1.000 0. 0.009 120826.0031.ec.fits[114] 600.0 1.000 0. 0.009 120826.0031.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sum120826.0031.ec.fits, ncombine = 115, exptime = 68999.99 w1 = 3359.74, w2 = 10811.92, dw = 0.04380466, nw = 170124., dtype = 0 Dec 10 13:28: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120826.0001.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[100] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[101] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[102] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[103] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[104] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[105] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[106] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[107] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[108] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[109] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[110] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[111] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[112] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[113] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[114] 720.0 1.000 0. 0.009 fitcont120826.0001.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont120826.0001.ec.fits, ncombine = 115, exptime = 82800.01 w1 = 3359.708, w2 = 10811.96, dw = 0.04390676, nw = 169730., dtype = 0 Dec 10 13:29: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120826.0002.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[100] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[101] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[102] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[103] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[104] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[105] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[106] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[107] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[108] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[109] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[110] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[111] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[112] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[113] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[114] 720.0 1.000 0. 0.009 fitcont120826.0002.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont120826.0002.ec.fits, ncombine = 115, exptime = 82800.01 w1 = 3359.708, w2 = 10811.96, dw = 0.04390676, nw = 169730., dtype = 0 Dec 10 13:30: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120826.0003.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[100] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[101] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[102] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[103] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[104] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[105] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[106] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[107] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[108] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[109] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[110] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[111] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[112] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[113] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[114] 720.0 1.000 0. 0.009 fitcont120826.0003.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont120826.0003.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.708, w2 = 10811.96, dw = 0.04390676, nw = 169730., dtype = 0 Dec 10 13:31: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120826.0005.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[100] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[101] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[102] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[103] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[104] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[105] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[106] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[107] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[108] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[109] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[110] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[111] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[112] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[113] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[114] 900.0 1.000 0. 0.009 fitcont120826.0005.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont120826.0005.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.708, w2 = 10811.96, dw = 0.04390676, nw = 169730., dtype = 0 Dec 10 13:32: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120826.0026.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[100] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[101] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[102] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[103] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[104] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[105] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[106] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[107] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[108] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[109] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[110] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[111] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[112] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[113] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[114] 900.0 1.000 0. 0.009 fitcont120826.0026.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont120826.0026.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.74, w2 = 10811.92, dw = 0.04380466, nw = 170124., dtype = 0 Dec 10 13:32: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120826.0027.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[100] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[101] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[102] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[103] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[104] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[105] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[106] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[107] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[108] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[109] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[110] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[111] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[112] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[113] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[114] 900.0 1.000 0. 0.009 fitcont120826.0027.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont120826.0027.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.74, w2 = 10811.92, dw = 0.04380466, nw = 170124., dtype = 0 Dec 10 13:33: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120826.0028.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[100] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[101] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[102] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[103] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[104] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[105] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[106] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[107] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[108] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[109] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[110] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[111] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[112] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[113] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[114] 900.0 1.000 0. 0.009 fitcont120826.0028.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont120826.0028.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.74, w2 = 10811.92, dw = 0.04380466, nw = 170124., dtype = 0 Dec 10 13:34: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120826.0029.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[100] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[101] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[102] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[103] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[104] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[105] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[106] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[107] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[108] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[109] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[110] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[111] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[112] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[113] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[114] 600.0 1.000 0. 0.009 fitcont120826.0029.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumfitcont120826.0029.ec.fits, ncombine = 115, exptime = 68999.99 w1 = 3359.74, w2 = 10811.92, dw = 0.04380466, nw = 170124., dtype = 0 Dec 10 13:35: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120826.0030.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[100] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[101] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[102] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[103] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[104] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[105] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[106] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[107] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[108] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[109] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[110] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[111] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[112] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[113] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[114] 600.0 1.000 0. 0.009 fitcont120826.0030.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumfitcont120826.0030.ec.fits, ncombine = 115, exptime = 69000.02 w1 = 3359.74, w2 = 10811.92, dw = 0.04380466, nw = 170124., dtype = 0 Dec 10 13:35: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120826.0031.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[100] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[101] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[102] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[103] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[104] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[105] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[106] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[107] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[108] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[109] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[110] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[111] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[112] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[113] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[114] 600.0 1.000 0. 0.009 fitcont120826.0031.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumfitcont120826.0031.ec.fits, ncombine = 115, exptime = 68999.99 w1 = 3359.74, w2 = 10811.92, dw = 0.04380466, nw = 170124., dtype = 0 82800.01 fullspec120826.0001.ec.fits,EXPTIME: 82800.01 -> 720.000086957 fullspec120826.0001.ec.fits updated 82800.01 fullspec120826.0002.ec.fits,EXPTIME: 82800.01 -> 720.000086957 fullspec120826.0002.ec.fits updated 82799.99 fullspec120826.0003.ec.fits,EXPTIME: 82799.99 -> 719.999913043 fullspec120826.0003.ec.fits updated 103500. fullspec120826.0005.ec.fits,EXPTIME: 103500. -> 900.0 fullspec120826.0005.ec.fits updated 103500. fullspec120826.0026.ec.fits,EXPTIME: 103500. -> 900.0 fullspec120826.0026.ec.fits updated 103500. fullspec120826.0027.ec.fits,EXPTIME: 103500. -> 900.0 fullspec120826.0027.ec.fits updated 103500. fullspec120826.0028.ec.fits,EXPTIME: 103500. -> 900.0 fullspec120826.0028.ec.fits updated 68999.99 fullspec120826.0029.ec.fits,EXPTIME: 68999.99 -> 599.999913043 fullspec120826.0029.ec.fits updated 69000.02 fullspec120826.0030.ec.fits,EXPTIME: 69000.02 -> 600.000173913 fullspec120826.0030.ec.fits updated 68999.99 fullspec120826.0031.ec.fits,EXPTIME: 68999.99 -> 599.999913043 fullspec120826.0031.ec.fits updated ALL DONE! Yay! (=^.^=)