Copying data files and other necessary files Changing to reduced data directory Generating file lists... Setting dispaxis... add 150930.0013.fits,dispaxis = 1 150930.0013.fits updated add 150930.0014.fits,dispaxis = 1 150930.0014.fits updated add 150930.0015.fits,dispaxis = 1 150930.0015.fits updated add 150930.0016.fits,dispaxis = 1 150930.0016.fits updated add 150930.0018.fits,dispaxis = 1 150930.0018.fits updated add 150930.0021.fits,dispaxis = 1 150930.0021.fits updated add 150930.0022.fits,dispaxis = 1 150930.0022.fits updated add 150930.0023.fits,dispaxis = 1 150930.0023.fits updated add 150930.0024.fits,dispaxis = 1 150930.0024.fits updated add 150930.0026.fits,dispaxis = 1 150930.0026.fits updated add 150930.0027.fits,dispaxis = 1 150930.0027.fits updated add EchelleBias.0001.fits,dispaxis = 1 EchelleBias.0001.fits updated add EchelleBias.0002.fits,dispaxis = 1 EchelleBias.0002.fits updated add EchelleBias.0003.fits,dispaxis = 1 EchelleBias.0003.fits updated add EchelleBias.0004.fits,dispaxis = 1 EchelleBias.0004.fits updated add EchelleBias.0005.fits,dispaxis = 1 EchelleBias.0005.fits updated add EchelleBias.0006.fits,dispaxis = 1 EchelleBias.0006.fits updated add EchelleBias.0007.fits,dispaxis = 1 EchelleBias.0007.fits updated add EchelleBias.0008.fits,dispaxis = 1 EchelleBias.0008.fits updated add EchelleFlat.0009.fits,dispaxis = 1 EchelleFlat.0009.fits updated add EchelleFlat.0010.fits,dispaxis = 1 EchelleFlat.0010.fits updated add EchelleFlat.0011.fits,dispaxis = 1 EchelleFlat.0011.fits updated add EchelleFlatBlue.0021.fits,dispaxis = 1 EchelleFlatBlue.0021.fits updated add EchelleFlatBlue.0022.fits,dispaxis = 1 EchelleFlatBlue.0022.fits updated add EchelleFlatBlue.0023.fits,dispaxis = 1 EchelleFlatBlue.0023.fits updated add EchelleFlatBlue.0024.fits,dispaxis = 1 EchelleFlatBlue.0024.fits updated add EchelleFlatBlue.0025.fits,dispaxis = 1 EchelleFlatBlue.0025.fits updated add EchelleThAr.0012.fits,dispaxis = 1 EchelleThAr.0012.fits updated add EchelleThAr.0017.fits,dispaxis = 1 EchelleThAr.0017.fits updated add EchelleThAr.0025.fits,dispaxis = 1 EchelleThAr.0025.fits updated add EchelleThAr.0028.fits,dispaxis = 1 EchelleThAr.0028.fits updated Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. FIXPIX: image EchelleFlat.0009.fits with mask echmask.pl Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. FIXPIX: image EchelleFlat.0010.fits with mask echmask.pl FIXPIX: image EchelleFlat.0011.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0021.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0022.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0023.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0024.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0025.fits with mask echmask.pl FIXPIX: image 150930.0013.fits with mask echmask.pl FIXPIX: image 150930.0014.fits with mask echmask.pl FIXPIX: image 150930.0015.fits with mask echmask.pl FIXPIX: image 150930.0016.fits with mask echmask.pl FIXPIX: image 150930.0018.fits with mask echmask.pl FIXPIX: image 150930.0021.fits with mask echmask.pl FIXPIX: image 150930.0022.fits with mask echmask.pl FIXPIX: image 150930.0023.fits with mask echmask.pl FIXPIX: image 150930.0024.fits with mask echmask.pl FIXPIX: image 150930.0026.fits with mask echmask.pl FIXPIX: image 150930.0027.fits with mask echmask.pl FIXPIX: image EchelleThAr.0012.fits with mask echmask.pl FIXPIX: image EchelleThAr.0017.fits with mask echmask.pl FIXPIX: image EchelleThAr.0025.fits with mask echmask.pl Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. FIXPIX: image EchelleThAr.0028.fits with mask echmask.pl Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. Nov 10 14:22: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Exp EchelleBias.0001.fits 0.0 EchelleBias.0002.fits 0.4 EchelleBias.0003.fits 0.0 EchelleBias.0004.fits 2.4 EchelleBias.0005.fits 0.0 EchelleBias.0006.fits 0.4 EchelleBias.0007.fits 0.0 EchelleBias.0008.fits 2.4 Output image = bias_fid, ncombine = 8 Calibrating object images and flats (bias, and trimming)... 150930.0013.fits: Nov 10 14:22 Trim data section is [200:1850,1:2048] Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. bias_fid: Nov 10 14:22 Trim data section is [200:1850,1:2048] 150930.0013.fits: Nov 10 14:22 Zero level correction image is bias_fid 150930.0014.fits: Nov 10 14:22 Trim data section is [200:1850,1:2048] 150930.0014.fits: Nov 10 14:22 Zero level correction image is bias_fid 150930.0015.fits: Nov 10 14:22 Trim data section is [200:1850,1:2048] 150930.0015.fits: Nov 10 14:22 Zero level correction image is bias_fid 150930.0016.fits: Nov 10 14:22 Trim data section is [200:1850,1:2048] 150930.0016.fits: Nov 10 14:22 Zero level correction image is bias_fid 150930.0018.fits: Nov 10 14:22 Trim data section is [200:1850,1:2048] 150930.0018.fits: Nov 10 14:22 Zero level correction image is bias_fid 150930.0021.fits: Nov 10 14:22 Trim data section is [200:1850,1:2048] 150930.0021.fits: Nov 10 14:22 Zero level correction image is bias_fid 150930.0022.fits: Nov 10 14:22 Trim data section is [200:1850,1:2048] 150930.0022.fits: Nov 10 14:22 Zero level correction image is bias_fid 150930.0023.fits: Nov 10 14:22 Trim data section is [200:1850,1:2048] 150930.0023.fits: Nov 10 14:22 Zero level correction image is bias_fid 150930.0024.fits: Nov 10 14:22 Trim data section is [200:1850,1:2048] 150930.0024.fits: Nov 10 14:22 Zero level correction image is bias_fid 150930.0026.fits: Nov 10 14:22 Trim data section is [200:1850,1:2048] 150930.0026.fits: Nov 10 14:22 Zero level correction image is bias_fid 150930.0027.fits: Nov 10 14:22 Trim data section is [200:1850,1:2048] 150930.0027.fits: Nov 10 14:22 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. EchelleFlat.0009.fits: Nov 10 14:22 Trim data section is [200:1850,1:2048] EchelleFlat.0009.fits: Nov 10 14:22 Zero level correction image is bias_fid Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. EchelleFlat.0010.fits: Nov 10 14:22 Trim data section is [200:1850,1:2048] EchelleFlat.0010.fits: Nov 10 14:22 Zero level correction image is bias_fid EchelleFlat.0011.fits: Nov 10 14:22 Trim data section is [200:1850,1:2048] EchelleFlat.0011.fits: Nov 10 14:22 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlatBlue.0021.fits: Nov 10 14:22 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0021.fits: Nov 10 14:22 Zero level correction image is bias_fid EchelleFlatBlue.0022.fits: Nov 10 14:22 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0022.fits: Nov 10 14:22 Zero level correction image is bias_fid EchelleFlatBlue.0023.fits: Nov 10 14:22 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0023.fits: Nov 10 14:22 Zero level correction image is bias_fid EchelleFlatBlue.0024.fits: Nov 10 14:22 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0024.fits: Nov 10 14:22 Zero level correction image is bias_fid EchelleFlatBlue.0025.fits: Nov 10 14:22 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0025.fits: Nov 10 14:22 Zero level correction image is bias_fid Calibrating ThAr arcs... EchelleThAr.0012.fits: Nov 10 14:22 Trim data section is [200:1850,1:2048] EchelleThAr.0012.fits: Nov 10 14:22 Zero level correction image is bias_fid EchelleThAr.0017.fits: Nov 10 14:22 Trim data section is [200:1850,1:2048] EchelleThAr.0017.fits: Nov 10 14:22 Zero level correction image is bias_fid EchelleThAr.0025.fits: Nov 10 14:22 Trim data section is [200:1850,1:2048] EchelleThAr.0025.fits: Nov 10 14:22 Zero level correction image is bias_fid Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. EchelleThAr.0028.fits: Nov 10 14:22 Trim data section is [200:1850,1:2048] EchelleThAr.0028.fits: Nov 10 14:22 Zero level correction image is bias_fid Combining red and blue flats into separate fiducial flats... Nov 10 14:22: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp EchelleFlatBlue.0021.fits 200.0 EchelleFlatBlue.0022.fits 200.0 EchelleFlatBlue.0023.fits 200.0 EchelleFlatBlue.0024.fits 200.0 EchelleFlatBlue.0025.fits 200.0 Output image = flat_blue_mean.fits, ncombine = 5 Nov 10 14:22: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp EchelleFlat.0009.fits 7.0 EchelleFlat.0010.fits 7.0 EchelleFlat.0011.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... Nov 10 14:22: TRACE - Trace of aperture 97 in flat_fid_mag lost at column 1622. Nov 10 14:22: TRACE - Trace of aperture 97 in flat_fid_mag recovered at column 1623. Nov 10 14:22: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1591. Nov 10 14:22: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1592. Nov 10 14:22: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1647. Nov 10 14:22: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1648. Nov 10 14:22: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 156. Nov 10 14:22: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 155. Nov 10 14:22: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1555. Nov 10 14:22: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1556. Nov 10 14:22: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1581. Nov 10 14:22: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1582. Nov 10 14:22: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1583. Nov 10 14:22: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1600. Nov 10 14:22: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1601. Nov 10 14:22: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1554. Nov 10 14:22: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1555. Nov 10 14:22: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 139. Nov 10 14:22: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 138. Nov 10 14:22: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1632. Nov 10 14:22: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1633. Nov 10 14:22: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 138. Nov 10 14:22: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 137. Nov 10 14:22: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 136. Nov 10 14:22: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1579. Nov 10 14:22: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1580. Nov 10 14:22: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1581. Nov 10 14:22: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1606. Nov 10 14:22: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1607. Nov 10 14:22: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1608. Nov 10 14:22: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 176. Nov 10 14:22: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 175. Nov 10 14:22: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 154. Nov 10 14:22: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 153. Nov 10 14:22: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 144. Nov 10 14:22: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 143. Nov 10 14:22: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 142. Nov 10 14:22: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 128. Nov 10 14:22: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 127. Nov 10 14:22: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1502. Nov 10 14:22: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1503. Nov 10 14:22: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1524. Nov 10 14:22: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1525. Nov 10 14:22: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1529. Nov 10 14:22: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1530. Nov 10 14:22: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1587. Nov 10 14:22: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1588. Nov 10 14:22: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1607. Nov 10 14:22: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1608. Nov 10 14:22: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1609. Nov 10 14:22: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 170. Nov 10 14:22: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 169. Nov 10 14:22: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 155. Nov 10 14:22: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 154. Nov 10 14:22: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 153. Nov 10 14:22: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1484. Nov 10 14:22: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1485. Nov 10 14:22: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1501. Nov 10 14:22: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1502. Nov 10 14:22: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1540. Nov 10 14:22: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1541. Nov 10 14:22: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1559. Nov 10 14:22: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1560. Nov 10 14:22: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1579. Nov 10 14:22: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1580. Nov 10 14:22: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1581. Nov 10 14:22: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 193. Nov 10 14:22: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 192. Nov 10 14:22: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 157. Nov 10 14:22: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 156. Nov 10 14:22: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 142. Nov 10 14:22: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 141. Nov 10 14:22: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 122. Nov 10 14:22: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 121. Nov 10 14:22: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 85. Nov 10 14:22: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 84. Nov 10 14:22: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 83. Nov 10 14:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1503. Nov 10 14:22: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1504. Nov 10 14:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1547. Nov 10 14:22: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1548. Nov 10 14:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1569. Nov 10 14:22: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1570. Nov 10 14:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1579. Nov 10 14:22: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1580. Nov 10 14:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1583. Nov 10 14:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1584. Nov 10 14:22: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1585. Nov 10 14:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1594. Nov 10 14:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1595. Nov 10 14:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1596. Nov 10 14:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 207. Nov 10 14:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 206. Nov 10 14:22: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 205. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1500. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1501. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1502. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1503. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1504. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1509. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1510. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1513. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1514. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1516. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1517. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1518. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1522. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1523. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1552. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1553. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1554. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1556. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1557. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1558. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1565. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1566. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1582. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1583. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1584. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 268. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 267. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 231. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 230. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 229. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 224. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 223. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 222. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 214. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 213. Nov 10 14:22: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 212. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1363. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1364. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1389. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1390. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1423. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1424. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1449. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1450. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1475. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1476. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1477. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1484. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1485. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1486. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1487. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1488. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 286. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 285. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 284. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 271. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 270. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 265. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 264. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 263. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 261. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 260. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 246. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 245. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 215. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 214. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 213. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 212. Nov 10 14:22: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 211. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1322. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1323. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1324. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1325. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1364. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1365. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1366. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1367. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1368. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1374. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1375. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1376. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1377. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1441. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1442. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1443. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1474. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1475. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1476. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1477. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1481. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1482. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1483. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1484. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1489. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1490. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1491. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 297. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 296. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 239. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 238. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 226. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 225. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 224. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 223. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 184. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 183. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 156. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 155. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 154. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 143. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 142. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 141. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 134. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 133. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 129. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 128. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 111. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 110. Nov 10 14:22: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 109. Nov 10 14:22: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1258. Nov 10 14:22: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1259. Nov 10 14:22: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1340. Nov 10 14:22: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1341. Nov 10 14:22: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1342. Nov 10 14:22: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1361. Nov 10 14:22: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1362. Nov 10 14:22: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1363. Nov 10 14:22: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1418. Nov 10 14:22: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1419. Nov 10 14:22: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1420. Nov 10 14:22: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1430. Nov 10 14:22: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1431. Nov 10 14:22: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1468. Nov 10 14:22: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1469. Nov 10 14:22: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1470. Nov 10 14:22: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 246. Nov 10 14:22: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 245. Nov 10 14:22: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 244. Nov 10 14:22: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 243. Nov 10 14:22: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 241. Nov 10 14:22: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 240. Nov 10 14:22: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 239. Nov 10 14:22: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 230. Nov 10 14:22: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 229. Nov 10 14:22: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 228. Nov 10 14:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1130. Nov 10 14:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1131. Nov 10 14:22: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1132. Nov 10 14:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1252. Nov 10 14:22: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1253. Nov 10 14:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1327. Nov 10 14:22: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1328. Nov 10 14:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1361. Nov 10 14:22: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1362. Nov 10 14:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1364. Nov 10 14:22: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1365. Nov 10 14:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1434. Nov 10 14:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1435. Nov 10 14:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1436. Nov 10 14:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 440. Nov 10 14:22: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 439. Nov 10 14:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 337. Nov 10 14:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 336. Nov 10 14:22: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 335. Nov 10 14:22: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1204. Nov 10 14:22: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1205. Nov 10 14:22: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1206. Nov 10 14:22: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1207. Nov 10 14:22: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1208. Nov 10 14:22: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1302. Nov 10 14:22: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1303. Nov 10 14:22: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1304. Nov 10 14:22: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 374. Nov 10 14:22: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 373. Nov 10 14:22: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 325. Nov 10 14:22: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 324. Nov 10 14:22: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 315. Nov 10 14:22: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 314. Nov 10 14:22: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 311. Nov 10 14:22: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 310. Nov 10 14:22: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 300. Nov 10 14:22: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 299. Nov 10 14:22: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 297. Nov 10 14:22: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 296. Nov 10 14:22: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 292. Nov 10 14:22: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 291. Nov 10 14:22: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 275. Nov 10 14:22: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 274. Nov 10 14:22: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 273. Nov 10 14:22: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 259. Nov 10 14:22: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 258. Nov 10 14:22: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 257. Nov 10 14:22: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 249. Nov 10 14:22: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 248. Nov 10 14:22: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 247. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 988. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 989. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1090. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1091. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1134. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1135. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1136. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1174. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1175. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1241. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1242. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1243. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1266. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1267. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1268. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1285. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1286. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1290. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1291. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1292. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1316. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1317. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1328. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1329. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1330. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1374. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1375. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1378. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1379. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1380. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 742. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 741. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 733. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 732. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 731. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 493. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 492. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 491. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 482. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 481. Nov 10 14:22: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 480. Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Normalizing the superflat... flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits IMARITH: Operation = + Operand1 = nonorm_flat_fid_mag.ec.fits Operand2 = 12.89 Result = nonorm_flat_fid_mag_bias.fits Result pixel type = real Calculation type = real Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0012.fits Magnify image EchelleThAr.0012.fits to image EchelleThAr.0012.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0012.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0012.fits updated Applying model apertures to the arc and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0017.fits Magnify image EchelleThAr.0017.fits to image EchelleThAr.0017.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0017.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0017.fits updated Applying model apertures to the arc and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0025.fits Magnify image EchelleThAr.0025.fits to image EchelleThAr.0025.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0025.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0025.fits updated Applying model apertures to the arc and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0028.fits Magnify image EchelleThAr.0028.fits to image EchelleThAr.0028.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0028.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0028.fits updated Applying model apertures to the arc and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Resampling the object by a factor of 4 in the y direction... 150930.0013 Magnify image 150930.0013 to image 150930.0013. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 150930.0013,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150930.0013 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150930.0013 -> noscat150930.0013 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Resampling the object by a factor of 4 in the y direction... 150930.0014 Magnify image 150930.0014 to image 150930.0014. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 150930.0014,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150930.0014 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150930.0014 -> noscat150930.0014 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Resampling the object by a factor of 4 in the y direction... 150930.0015 Magnify image 150930.0015 to image 150930.0015. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 150930.0015,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150930.0015 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150930.0015 -> noscat150930.0015 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Nov 10 14:25: EXTRACT: WARNING - Aperture 107: Nov 10 14:25: Total variance weighted spectrum flux is 15272.76 Nov 10 14:25: Total unweighted spectrum flux is 7549.042 Nov 10 14:25: EXTRACT: Aperture 107 variance spectrum bias factor is 0.4942815 Nov 10 14:25: EXTRACT: WARNING - Aperture 110: Nov 10 14:25: Total variance weighted spectrum flux is 11981.31 Nov 10 14:25: Total unweighted spectrum flux is 5242.519 Nov 10 14:25: EXTRACT: Aperture 110 variance spectrum bias factor is 0.4375582 Nov 10 14:25: EXTRACT: WARNING - Aperture 112: Nov 10 14:25: Total variance weighted spectrum flux is 6652.978 Nov 10 14:25: Total unweighted spectrum flux is 3238.428 Nov 10 14:25: EXTRACT: Aperture 112 variance spectrum bias factor is 0.4867637 Nov 10 14:25: EXTRACT: WARNING - Aperture 113: Nov 10 14:25: Total variance weighted spectrum flux is 11024.6 Nov 10 14:25: Total unweighted spectrum flux is 3414.325 Nov 10 14:25: EXTRACT: Aperture 113 variance spectrum bias factor is 0.3097006 Nov 10 14:25: EXTRACT: WARNING - Aperture 114: Nov 10 14:25: Total variance weighted spectrum flux is 6556.794 Nov 10 14:25: Total unweighted spectrum flux is 3217.444 Nov 10 14:25: EXTRACT: Aperture 114 variance spectrum bias factor is 0.4907038 Nov 10 14:25: EXTRACT: WARNING - Aperture 115: Nov 10 14:25: Total variance weighted spectrum flux is 6815.592 Nov 10 14:25: Total unweighted spectrum flux is 2137.566 Nov 10 14:25: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3136288 Resampling the object by a factor of 4 in the y direction... 150930.0016 Magnify image 150930.0016 to image 150930.0016. 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 150930.0016,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150930.0016 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150930.0016 -> noscat150930.0016 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Nov 10 14:26: EXTRACT: WARNING - Aperture 105: Nov 10 14:26: Total variance weighted spectrum flux is 9563.106 Nov 10 14:26: Total unweighted spectrum flux is 3503.62 Nov 10 14:26: EXTRACT: Aperture 105 variance spectrum bias factor is 0.3663684 Nov 10 14:26: EXTRACT: WARNING - Aperture 106: Nov 10 14:26: Total variance weighted spectrum flux is 4649.783 Nov 10 14:26: Total unweighted spectrum flux is 2096.721 Nov 10 14:26: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4509289 Nov 10 14:26: EXTRACT: WARNING - Aperture 107: Nov 10 14:26: Total variance weighted spectrum flux is 4235.508 Nov 10 14:26: Total unweighted spectrum flux is 1699.118 Nov 10 14:26: EXTRACT: Aperture 107 variance spectrum bias factor is 0.4011604 Nov 10 14:26: EXTRACT: WARNING - Aperture 108: Nov 10 14:26: Total variance weighted spectrum flux is 9617.244 Nov 10 14:26: Total unweighted spectrum flux is 3837.386 Nov 10 14:26: EXTRACT: Aperture 108 variance spectrum bias factor is 0.399011 Nov 10 14:26: EXTRACT: WARNING - Aperture 109: Nov 10 14:26: Total variance weighted spectrum flux is 3820.245 Nov 10 14:26: Total unweighted spectrum flux is 1412.391 Nov 10 14:26: EXTRACT: Aperture 109 variance spectrum bias factor is 0.3697123 Nov 10 14:26: EXTRACT: WARNING - Aperture 110: Nov 10 14:26: Total variance weighted spectrum flux is 8476.789 Nov 10 14:26: Total unweighted spectrum flux is 1218.951 Nov 10 14:26: EXTRACT: Aperture 110 variance spectrum bias factor is 0.1437987 Nov 10 14:26: EXTRACT: WARNING - Aperture 111: Nov 10 14:26: Total variance weighted spectrum flux is 5462.259 Nov 10 14:26: Total unweighted spectrum flux is 2227.004 Nov 10 14:26: EXTRACT: Aperture 111 variance spectrum bias factor is 0.4077076 Nov 10 14:26: EXTRACT: WARNING - Aperture 112: Nov 10 14:26: Total variance weighted spectrum flux is 8363.144 Nov 10 14:26: Total unweighted spectrum flux is 1960.978 Nov 10 14:26: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2344786 Nov 10 14:26: EXTRACT: WARNING - Aperture 113: Nov 10 14:26: Total variance weighted spectrum flux is 3074.228 Nov 10 14:26: Total unweighted spectrum flux is 504.4668 Nov 10 14:26: EXTRACT: Aperture 113 variance spectrum bias factor is 0.1640954 Nov 10 14:26: EXTRACT: WARNING - Aperture 114: Nov 10 14:26: Total variance weighted spectrum flux is 4679.27 Nov 10 14:26: Total unweighted spectrum flux is 436.3548 Nov 10 14:26: EXTRACT: Aperture 114 variance spectrum bias factor is 0.09325274 Nov 10 14:26: EXTRACT: WARNING - Aperture 115: Nov 10 14:26: Total variance weighted spectrum flux is 4941.763 Nov 10 14:26: Total unweighted spectrum flux is 1575.342 Nov 10 14:26: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3187813 Resampling the object by a factor of 4 in the y direction... 150930.0018 Magnify image 150930.0018 to image 150930.0018. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 150930.0018,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150930.0018 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150930.0018 -> noscat150930.0018 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Nov 10 14:26: EXTRACT: WARNING - Aperture 109: Nov 10 14:26: Total variance weighted spectrum flux is 17686.16 Nov 10 14:26: Total unweighted spectrum flux is 7891.236 Nov 10 14:26: EXTRACT: Aperture 109 variance spectrum bias factor is 0.4461814 Nov 10 14:26: EXTRACT: WARNING - Aperture 110: Nov 10 14:26: Total variance weighted spectrum flux is 10491.59 Nov 10 14:26: Total unweighted spectrum flux is 4515.573 Nov 10 14:26: EXTRACT: Aperture 110 variance spectrum bias factor is 0.4303994 Nov 10 14:26: EXTRACT: WARNING - Aperture 112: Nov 10 14:26: Total variance weighted spectrum flux is 13418.44 Nov 10 14:26: Total unweighted spectrum flux is 3819.999 Nov 10 14:26: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2846828 Nov 10 14:26: EXTRACT: WARNING - Aperture 115: Nov 10 14:26: Total variance weighted spectrum flux is 2975.928 Nov 10 14:26: Total unweighted spectrum flux is 740.9089 Nov 10 14:26: EXTRACT: Aperture 115 variance spectrum bias factor is 0.2489673 Resampling the object by a factor of 4 in the y direction... 150930.0021 Magnify image 150930.0021 to image 150930.0021. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 150930.0021,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150930.0021 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150930.0021 -> noscat150930.0021 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Nov 10 14:27: EXTRACT: WARNING - Aperture 106: Nov 10 14:27: Total variance weighted spectrum flux is 7882.44 Nov 10 14:27: Total unweighted spectrum flux is 3768.876 Nov 10 14:27: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4781357 Nov 10 14:27: EXTRACT: WARNING - Aperture 107: Nov 10 14:27: Total variance weighted spectrum flux is 13961.19 Nov 10 14:27: Total unweighted spectrum flux is 5356.25 Nov 10 14:27: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3836528 Nov 10 14:27: EXTRACT: WARNING - Aperture 108: Nov 10 14:27: Total variance weighted spectrum flux is 10849.58 Nov 10 14:27: Total unweighted spectrum flux is 4764.627 Nov 10 14:27: EXTRACT: Aperture 108 variance spectrum bias factor is 0.439153 Nov 10 14:27: EXTRACT: WARNING - Aperture 109: Nov 10 14:27: Total variance weighted spectrum flux is 6755.563 Nov 10 14:27: Total unweighted spectrum flux is 2684.635 Nov 10 14:27: EXTRACT: Aperture 109 variance spectrum bias factor is 0.3973961 Nov 10 14:27: EXTRACT: WARNING - Aperture 111: Nov 10 14:27: Total variance weighted spectrum flux is 8978.319 Nov 10 14:27: Total unweighted spectrum flux is 4081.756 Nov 10 14:27: EXTRACT: Aperture 111 variance spectrum bias factor is 0.4546236 Nov 10 14:27: EXTRACT: WARNING - Aperture 112: Nov 10 14:27: Total variance weighted spectrum flux is 4334.608 Nov 10 14:27: Total unweighted spectrum flux is 520.7899 Nov 10 14:27: EXTRACT: Aperture 112 variance spectrum bias factor is 0.1201469 Nov 10 14:27: EXTRACT: WARNING - Aperture 113: Nov 10 14:27: Total variance weighted spectrum flux is 9788.85 Nov 10 14:27: Total unweighted spectrum flux is 3691.33 Nov 10 14:27: EXTRACT: Aperture 113 variance spectrum bias factor is 0.3770954 Nov 10 14:27: EXTRACT: WARNING - Aperture 114: Nov 10 14:27: Total variance weighted spectrum flux is 3437.198 Nov 10 14:27: Total unweighted spectrum flux is 443.1727 Nov 10 14:27: EXTRACT: Aperture 114 variance spectrum bias factor is 0.1289343 Nov 10 14:27: EXTRACT: WARNING - Aperture 115: Nov 10 14:27: Total variance weighted spectrum flux is 5478.573 Nov 10 14:27: Total unweighted spectrum flux is 45.25174 Nov 10 14:27: EXTRACT: Aperture 115 variance spectrum bias factor is 0.008259768 Resampling the object by a factor of 4 in the y direction... 150930.0022 Magnify image 150930.0022 to image 150930.0022. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 150930.0022,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150930.0022 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150930.0022 -> noscat150930.0022 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Nov 10 14:27: EXTRACT: WARNING - Aperture 1: Nov 10 14:27: Total variance weighted spectrum flux is 4215.728 Nov 10 14:27: Total unweighted spectrum flux is 835.8046 Nov 10 14:27: EXTRACT: Aperture 1 variance spectrum bias factor is 0.1982587 Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Nov 10 14:28: EXTRACT: WARNING - Aperture 95: Nov 10 14:28: Total variance weighted spectrum flux is 10801.51 Nov 10 14:28: Total unweighted spectrum flux is 3730.722 Nov 10 14:28: EXTRACT: Aperture 95 variance spectrum bias factor is 0.345389 Nov 10 14:28: EXTRACT: WARNING - Aperture 100: Nov 10 14:28: Total variance weighted spectrum flux is 4502.676 Nov 10 14:28: Total unweighted spectrum flux is 1676.316 Nov 10 14:28: EXTRACT: Aperture 100 variance spectrum bias factor is 0.3722933 Nov 10 14:28: EXTRACT: WARNING - Aperture 101: Nov 10 14:28: Total variance weighted spectrum flux is 6923.229 Nov 10 14:28: Total unweighted spectrum flux is 2560.336 Nov 10 14:28: EXTRACT: Aperture 101 variance spectrum bias factor is 0.3698182 Nov 10 14:28: EXTRACT: WARNING - Aperture 102: Nov 10 14:28: Total variance weighted spectrum flux is 4388.358 Nov 10 14:28: Total unweighted spectrum flux is 1072.906 Nov 10 14:28: EXTRACT: Aperture 102 variance spectrum bias factor is 0.2444893 Nov 10 14:28: EXTRACT: WARNING - Aperture 103: Nov 10 14:28: Total variance weighted spectrum flux is 8885.785 Nov 10 14:28: Total unweighted spectrum flux is 2562.945 Nov 10 14:28: EXTRACT: Aperture 103 variance spectrum bias factor is 0.288432 Nov 10 14:28: EXTRACT: WARNING - Aperture 104: Nov 10 14:28: Total variance weighted spectrum flux is 7063.919 Nov 10 14:28: Total unweighted spectrum flux is 1926.116 Nov 10 14:28: EXTRACT: Aperture 104 variance spectrum bias factor is 0.2726696 Nov 10 14:28: EXTRACT: WARNING - Aperture 105: Nov 10 14:28: Total variance weighted spectrum flux is 13061.87 Nov 10 14:28: Total unweighted spectrum flux is 3754.352 Nov 10 14:28: EXTRACT: Aperture 105 variance spectrum bias factor is 0.2874283 Nov 10 14:28: EXTRACT: WARNING - Aperture 106: Nov 10 14:28: Total variance weighted spectrum flux is 6176.319 Nov 10 14:28: Total unweighted spectrum flux is 1734.897 Nov 10 14:28: EXTRACT: Aperture 106 variance spectrum bias factor is 0.2808951 Nov 10 14:28: EXTRACT: WARNING - Aperture 107: Nov 10 14:28: Total variance weighted spectrum flux is 6025.242 Nov 10 14:28: Total unweighted spectrum flux is -2011.279 Nov 10 14:28: Variance spectrum bias factor ignored Nov 10 14:28: EXTRACT: WARNING - Aperture 108: Nov 10 14:28: Total variance weighted spectrum flux is 5096.862 Nov 10 14:28: Total unweighted spectrum flux is 1410.071 Nov 10 14:28: EXTRACT: Aperture 108 variance spectrum bias factor is 0.2766547 Nov 10 14:28: EXTRACT: WARNING - Aperture 109: Nov 10 14:28: Total variance weighted spectrum flux is 5762.479 Nov 10 14:28: Total unweighted spectrum flux is 1022.557 Nov 10 14:28: EXTRACT: Aperture 109 variance spectrum bias factor is 0.1774509 Nov 10 14:28: EXTRACT: WARNING - Aperture 110: Nov 10 14:28: Total variance weighted spectrum flux is 7964.921 Nov 10 14:28: Total unweighted spectrum flux is 694.7695 Nov 10 14:28: EXTRACT: Aperture 110 variance spectrum bias factor is 0.08722868 Nov 10 14:28: EXTRACT: WARNING - Aperture 111: Nov 10 14:28: Total variance weighted spectrum flux is 5651.381 Nov 10 14:28: Total unweighted spectrum flux is 1847.522 Nov 10 14:28: EXTRACT: Aperture 111 variance spectrum bias factor is 0.3269152 Nov 10 14:28: EXTRACT: WARNING - Aperture 112: Nov 10 14:28: Total variance weighted spectrum flux is 7506.844 Nov 10 14:28: Total unweighted spectrum flux is 2514.754 Nov 10 14:28: EXTRACT: Aperture 112 variance spectrum bias factor is 0.3349948 Nov 10 14:28: EXTRACT: WARNING - Aperture 113: Nov 10 14:28: Total variance weighted spectrum flux is 5307.586 Nov 10 14:28: Total unweighted spectrum flux is 1432.485 Nov 10 14:28: EXTRACT: Aperture 113 variance spectrum bias factor is 0.2698938 Nov 10 14:28: EXTRACT: WARNING - Aperture 114: Nov 10 14:28: Total variance weighted spectrum flux is 6834.32 Nov 10 14:28: Total unweighted spectrum flux is 1477.489 Nov 10 14:28: EXTRACT: Aperture 114 variance spectrum bias factor is 0.2161867 Nov 10 14:28: EXTRACT: WARNING - Aperture 115: Nov 10 14:28: Total variance weighted spectrum flux is 4264.551 Nov 10 14:28: Total unweighted spectrum flux is -554.8005 Nov 10 14:28: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 150930.0023 Magnify image 150930.0023 to image 150930.0023. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 150930.0023,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150930.0023 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150930.0023 -> noscat150930.0023 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Nov 10 14:28: EXTRACT: WARNING - Aperture 1: Nov 10 14:28: Total variance weighted spectrum flux is 6230.227 Nov 10 14:28: Total unweighted spectrum flux is 1748.344 Nov 10 14:28: EXTRACT: Aperture 1 variance spectrum bias factor is 0.2806228 Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Nov 10 14:29: EXTRACT: WARNING - Aperture 95: Nov 10 14:29: Total variance weighted spectrum flux is 14369.43 Nov 10 14:29: Total unweighted spectrum flux is 6592.41 Nov 10 14:29: EXTRACT: Aperture 95 variance spectrum bias factor is 0.4587802 Nov 10 14:29: EXTRACT: WARNING - Aperture 96: Nov 10 14:29: Total variance weighted spectrum flux is 9548.681 Nov 10 14:29: Total unweighted spectrum flux is 4458.478 Nov 10 14:29: EXTRACT: Aperture 96 variance spectrum bias factor is 0.4669208 Nov 10 14:29: EXTRACT: WARNING - Aperture 99: Nov 10 14:29: Total variance weighted spectrum flux is 4569.545 Nov 10 14:29: Total unweighted spectrum flux is -523.4819 Nov 10 14:29: Variance spectrum bias factor ignored Nov 10 14:29: EXTRACT: WARNING - Aperture 100: Nov 10 14:29: Total variance weighted spectrum flux is 13178.03 Nov 10 14:29: Total unweighted spectrum flux is 5105.442 Nov 10 14:29: EXTRACT: Aperture 100 variance spectrum bias factor is 0.3874208 Nov 10 14:29: EXTRACT: WARNING - Aperture 101: Nov 10 14:29: Total variance weighted spectrum flux is 5509.802 Nov 10 14:29: Total unweighted spectrum flux is 304.8946 Nov 10 14:29: EXTRACT: Aperture 101 variance spectrum bias factor is 0.05533677 Nov 10 14:29: EXTRACT: WARNING - Aperture 103: Nov 10 14:29: Total variance weighted spectrum flux is 12200.71 Nov 10 14:29: Total unweighted spectrum flux is 3470.425 Nov 10 14:29: EXTRACT: Aperture 103 variance spectrum bias factor is 0.2844446 Nov 10 14:29: EXTRACT: WARNING - Aperture 104: Nov 10 14:29: Total variance weighted spectrum flux is 12125.66 Nov 10 14:29: Total unweighted spectrum flux is 5364.229 Nov 10 14:29: EXTRACT: Aperture 104 variance spectrum bias factor is 0.4423864 Nov 10 14:29: EXTRACT: WARNING - Aperture 105: Nov 10 14:29: Total variance weighted spectrum flux is 6246.557 Nov 10 14:29: Total unweighted spectrum flux is 857.554 Nov 10 14:29: EXTRACT: Aperture 105 variance spectrum bias factor is 0.1372843 Nov 10 14:29: EXTRACT: WARNING - Aperture 106: Nov 10 14:29: Total variance weighted spectrum flux is 9642.343 Nov 10 14:29: Total unweighted spectrum flux is 3129.466 Nov 10 14:29: EXTRACT: Aperture 106 variance spectrum bias factor is 0.3245545 Nov 10 14:29: EXTRACT: WARNING - Aperture 108: Nov 10 14:29: Total variance weighted spectrum flux is 7669.641 Nov 10 14:29: Total unweighted spectrum flux is 1721.936 Nov 10 14:29: EXTRACT: Aperture 108 variance spectrum bias factor is 0.2245132 Nov 10 14:29: EXTRACT: WARNING - Aperture 109: Nov 10 14:29: Total variance weighted spectrum flux is 11459.08 Nov 10 14:29: Total unweighted spectrum flux is 2544.053 Nov 10 14:29: EXTRACT: Aperture 109 variance spectrum bias factor is 0.222012 Nov 10 14:29: EXTRACT: WARNING - Aperture 110: Nov 10 14:29: Total variance weighted spectrum flux is 6519.742 Nov 10 14:29: Total unweighted spectrum flux is 1342.352 Nov 10 14:29: EXTRACT: Aperture 110 variance spectrum bias factor is 0.2058904 Nov 10 14:29: EXTRACT: WARNING - Aperture 111: Nov 10 14:29: Total variance weighted spectrum flux is 6562.611 Nov 10 14:29: Total unweighted spectrum flux is 1482.571 Nov 10 14:29: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2259117 Nov 10 14:29: EXTRACT: WARNING - Aperture 112: Nov 10 14:29: Total variance weighted spectrum flux is 7304.879 Nov 10 14:29: Total unweighted spectrum flux is 2072.358 Nov 10 14:29: EXTRACT: Aperture 112 variance spectrum bias factor is 0.283695 Nov 10 14:29: EXTRACT: WARNING - Aperture 113: Nov 10 14:29: Total variance weighted spectrum flux is 5019.431 Nov 10 14:29: Total unweighted spectrum flux is 1425.553 Nov 10 14:29: EXTRACT: Aperture 113 variance spectrum bias factor is 0.2840068 Nov 10 14:29: EXTRACT: WARNING - Aperture 114: Nov 10 14:29: Total variance weighted spectrum flux is 2454.226 Nov 10 14:29: Total unweighted spectrum flux is 989.4839 Nov 10 14:29: EXTRACT: Aperture 114 variance spectrum bias factor is 0.4031755 Nov 10 14:29: EXTRACT: WARNING - Aperture 115: Nov 10 14:29: Total variance weighted spectrum flux is 6379.081 Nov 10 14:29: Total unweighted spectrum flux is 1974.779 Nov 10 14:29: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3095711 Resampling the object by a factor of 4 in the y direction... 150930.0024 Magnify image 150930.0024 to image 150930.0024. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 150930.0024,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150930.0024 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150930.0024 -> noscat150930.0024 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Nov 10 14:30: EXTRACT: WARNING - Aperture 103: Nov 10 14:30: Total variance weighted spectrum flux is 11150.96 Nov 10 14:30: Total unweighted spectrum flux is 5071.051 Nov 10 14:30: EXTRACT: Aperture 103 variance spectrum bias factor is 0.4547636 Nov 10 14:30: EXTRACT: WARNING - Aperture 106: Nov 10 14:30: Total variance weighted spectrum flux is 8191.85 Nov 10 14:30: Total unweighted spectrum flux is 3559.313 Nov 10 14:30: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4344944 Nov 10 14:30: EXTRACT: WARNING - Aperture 107: Nov 10 14:30: Total variance weighted spectrum flux is 5773.933 Nov 10 14:30: Total unweighted spectrum flux is 1258.826 Nov 10 14:30: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2180188 Nov 10 14:30: EXTRACT: WARNING - Aperture 108: Nov 10 14:30: Total variance weighted spectrum flux is 4952.198 Nov 10 14:30: Total unweighted spectrum flux is 2180.18 Nov 10 14:30: EXTRACT: Aperture 108 variance spectrum bias factor is 0.440245 Nov 10 14:30: EXTRACT: WARNING - Aperture 109: Nov 10 14:30: Total variance weighted spectrum flux is 8833.375 Nov 10 14:30: Total unweighted spectrum flux is 3294.799 Nov 10 14:30: EXTRACT: Aperture 109 variance spectrum bias factor is 0.3729944 Nov 10 14:30: EXTRACT: WARNING - Aperture 110: Nov 10 14:30: Total variance weighted spectrum flux is 6244.777 Nov 10 14:30: Total unweighted spectrum flux is 2613.301 Nov 10 14:30: EXTRACT: Aperture 110 variance spectrum bias factor is 0.4184778 Nov 10 14:30: EXTRACT: WARNING - Aperture 111: Nov 10 14:30: Total variance weighted spectrum flux is 6384.139 Nov 10 14:30: Total unweighted spectrum flux is 2835.226 Nov 10 14:30: EXTRACT: Aperture 111 variance spectrum bias factor is 0.4441047 Nov 10 14:30: EXTRACT: WARNING - Aperture 112: Nov 10 14:30: Total variance weighted spectrum flux is 4857.038 Nov 10 14:30: Total unweighted spectrum flux is 215.0538 Nov 10 14:30: EXTRACT: Aperture 112 variance spectrum bias factor is 0.04427674 Nov 10 14:30: EXTRACT: WARNING - Aperture 113: Nov 10 14:30: Total variance weighted spectrum flux is 6404.586 Nov 10 14:30: Total unweighted spectrum flux is 429.8706 Nov 10 14:30: EXTRACT: Aperture 113 variance spectrum bias factor is 0.06711919 Nov 10 14:30: EXTRACT: WARNING - Aperture 114: Nov 10 14:30: Total variance weighted spectrum flux is 2644.901 Nov 10 14:30: Total unweighted spectrum flux is 1125.188 Nov 10 14:30: EXTRACT: Aperture 114 variance spectrum bias factor is 0.4254178 Nov 10 14:30: EXTRACT: WARNING - Aperture 115: Nov 10 14:30: Total variance weighted spectrum flux is 1223.96 Nov 10 14:30: Total unweighted spectrum flux is 85.55428 Nov 10 14:30: EXTRACT: Aperture 115 variance spectrum bias factor is 0.06989957 Resampling the object by a factor of 4 in the y direction... 150930.0026 Magnify image 150930.0026 to image 150930.0026. 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 150930.0026,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150930.0026 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150930.0026 -> noscat150930.0026 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Resampling the object by a factor of 4 in the y direction... 150930.0027 Magnify image 150930.0027 to image 150930.0027. 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 150930.0027,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150930.0027 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150930.0027 -> noscat150930.0027 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Nov 10 14:31: EXTRACT: WARNING - Aperture 112: Nov 10 14:31: Total variance weighted spectrum flux is 13401.25 Nov 10 14:31: Total unweighted spectrum flux is 6356.114 Nov 10 14:31: EXTRACT: Aperture 112 variance spectrum bias factor is 0.4742927 Nov 10 14:31: EXTRACT: WARNING - Aperture 113: Nov 10 14:31: Total variance weighted spectrum flux is 5744.037 Nov 10 14:31: Total unweighted spectrum flux is 1524.051 Nov 10 14:31: EXTRACT: Aperture 113 variance spectrum bias factor is 0.2653275 Nov 10 14:31: EXTRACT: WARNING - Aperture 114: Nov 10 14:31: Total variance weighted spectrum flux is 6160.7 Nov 10 14:31: Total unweighted spectrum flux is 1645.396 Nov 10 14:31: EXTRACT: Aperture 114 variance spectrum bias factor is 0.2670793 Nov 10 14:31: EXTRACT: WARNING - Aperture 115: Nov 10 14:31: Total variance weighted spectrum flux is 4549.196 Nov 10 14:31: Total unweighted spectrum flux is 1251.301 Nov 10 14:31: EXTRACT: Aperture 115 variance spectrum bias factor is 0.2750597 add EchelleThAr.0012.ec.fits,REFSPEC1 = EchelleThAr.0012.ec.fits EchelleThAr.0012.ec.fits updated add EchelleThAr.0017.ec.fits,REFSPEC1 = EchelleThAr.0017.ec.fits EchelleThAr.0017.ec.fits updated add EchelleThAr.0025.ec.fits,REFSPEC1 = EchelleThAr.0025.ec.fits EchelleThAr.0025.ec.fits updated add EchelleThAr.0028.ec.fits,REFSPEC1 = EchelleThAr.0028.ec.fits EchelleThAr.0028.ec.fits updated Flatfielding extracted arcs and object spectra... add EchelleThAr.0012.ec.fits,UTMIDDLE = 0 EchelleThAr.0012.ec.fits updated EchelleThAr.0012.ec.fits,UTMIDDLE: 0 -> 01:05:05.900234 EchelleThAr.0012.ec.fits updated add EchelleThAr.0017.ec.fits,UTMIDDLE = 0 EchelleThAr.0017.ec.fits updated EchelleThAr.0017.ec.fits,UTMIDDLE: 0 -> 02:41:59.789245 EchelleThAr.0017.ec.fits updated add EchelleThAr.0025.ec.fits,UTMIDDLE = 0 EchelleThAr.0025.ec.fits updated EchelleThAr.0025.ec.fits,UTMIDDLE: 0 -> 04:36:46.296763 EchelleThAr.0025.ec.fits updated add EchelleThAr.0028.ec.fits,UTMIDDLE = 0 EchelleThAr.0028.ec.fits updated EchelleThAr.0028.ec.fits,UTMIDDLE: 0 -> 05:02:52.400794 EchelleThAr.0028.ec.fits updated add 150930.0013.ec.fits,UTMIDDLE = 0 150930.0013.ec.fits updated 150930.0013.ec.fits,UTMIDDLE: 0 -> 01:08:43.520057 150930.0013.ec.fits updated add 150930.0014.ec.fits,UTMIDDLE = 0 150930.0014.ec.fits updated 150930.0014.ec.fits,UTMIDDLE: 0 -> 01:26:07.152344 150930.0014.ec.fits updated add 150930.0015.ec.fits,UTMIDDLE = 0 150930.0015.ec.fits updated 150930.0015.ec.fits,UTMIDDLE: 0 -> 01:51:46.849960 150930.0015.ec.fits updated add 150930.0016.ec.fits,UTMIDDLE = 0 150930.0016.ec.fits updated 150930.0016.ec.fits,UTMIDDLE: 0 -> 02:19:18.974965 150930.0016.ec.fits updated add 150930.0018.ec.fits,UTMIDDLE = 0 150930.0018.ec.fits updated 150930.0018.ec.fits,UTMIDDLE: 0 -> 02:52:35.298808 150930.0018.ec.fits updated add 150930.0021.ec.fits,UTMIDDLE = 0 150930.0021.ec.fits updated 150930.0021.ec.fits,UTMIDDLE: 0 -> 03:16:59.328360 150930.0021.ec.fits updated add 150930.0022.ec.fits,UTMIDDLE = 0 150930.0022.ec.fits updated 150930.0022.ec.fits,UTMIDDLE: 0 -> 03:42:46.204846 150930.0022.ec.fits updated add 150930.0023.ec.fits,UTMIDDLE = 0 150930.0023.ec.fits updated 150930.0023.ec.fits,UTMIDDLE: 0 -> 04:03:02.646745 150930.0023.ec.fits updated add 150930.0024.ec.fits,UTMIDDLE = 0 150930.0024.ec.fits updated 150930.0024.ec.fits,UTMIDDLE: 0 -> 04:23:47.866813 150930.0024.ec.fits updated add 150930.0026.ec.fits,UTMIDDLE = 0 150930.0026.ec.fits updated 150930.0026.ec.fits,UTMIDDLE: 0 -> 04:41:21.754113 150930.0026.ec.fits updated add 150930.0027.ec.fits,UTMIDDLE = 0 150930.0027.ec.fits updated 150930.0027.ec.fits,UTMIDDLE: 0 -> 04:52:18.705780 150930.0027.ec.fits updated Setting Julian Date Keywords # Image jd hjd ljd # SETJD: Observatory parameters for Apache Point Observatory # timezone = 7 150930.0013.ec.fits 2457295.54773 2457295.55040 2457295 150930.0014.ec.fits 2457295.55980 2457295.56123 2457295 150930.0015.ec.fits 2457295.57763 2457295.57884 2457295 150930.0016.ec.fits 2457295.59675 2457295.59796 2457295 150930.0018.ec.fits 2457295.61985 2457295.62168 2457295 150930.0021.ec.fits 2457295.63680 2457295.63836 2457295 150930.0022.ec.fits 2457295.65470 2457295.65551 2457295 150930.0023.ec.fits 2457295.66878 2457295.67003 2457295 150930.0024.ec.fits 2457295.68319 2457295.68472 2457295 150930.0026.ec.fits 2457295.69539 2457295.69806 2457295 150930.0027.ec.fits 2457295.70299 2457295.70492 2457295 # Image UT middle effective begin middle end updated # SETAIRMASS: Observatory parameters for Apache Point Observatory # latitude = 32:46.8 150930.0013.ec.fits 1:08:43.5 1.1036 1.1045 1.1036 1.1027 yes 150930.0014.ec.fits 1:26:07.1 1.0230 1.0279 1.0228 1.0190 yes 150930.0015.ec.fits 1:51:46.9 1.0092 1.0094 1.0089 1.0103 yes 150930.0016.ec.fits 2:19:19.0 1.0150 1.0108 1.0146 1.0204 yes 150930.0018.ec.fits 2:52:35.3 1.0229 1.0209 1.0228 1.0255 yes 150930.0021.ec.fits 3:16:59.3 1.0390 1.0303 1.0388 1.0487 yes 150930.0022.ec.fits 3:42:46.2 1.1361 1.1178 1.1358 1.1557 yes 150930.0023.ec.fits 4:03:02.6 1.1270 1.1129 1.1268 1.1417 yes 150930.0024.ec.fits 4:23:47.9 1.1386 1.1185 1.1382 1.1601 yes 150930.0026.ec.fits 4:41:21.8 1.0618 1.0611 1.0618 1.0624 yes 150930.0027.ec.fits 4:52:18.7 1.1511 1.1352 1.1509 1.1678 yes ECREIDENTIFY: NOAO/IRAF V2.16.1 jeanm12@tequila.nmsu.edu Tue 14:31:41 10-Nov-2015 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS EchelleThAr.0012.ec 1734/2055 1734/1734 3.29 -24.1 -4.3E-5 0.0124 EchelleThAr.0017.ec 1677/2055 1677/1677 3.4 -24.9 -4.4E-5 0.0127 EchelleThAr.0025.ec 1688/2055 1688/1688 3.14 -23. -4.1E-5 0.012 EchelleThAr.0028.ec 1667/2055 1667/1667 3. -22. -3.9E-5 0.0138 [150930.0013.ec] refspec1='EchelleThAr.0012.ec' [150930.0014.ec] refspec1='EchelleThAr.0012.ec' [150930.0015.ec] refspec1='EchelleThAr.0012.ec' [150930.0016.ec] refspec1='EchelleThAr.0012.ec' [150930.0018.ec] refspec1='EchelleThAr.0012.ec' [150930.0021.ec] refspec1='EchelleThAr.0012.ec' [150930.0022.ec] refspec1='EchelleThAr.0012.ec' [150930.0023.ec] refspec1='EchelleThAr.0012.ec' [150930.0024.ec] refspec1='EchelleThAr.0012.ec' [150930.0026.ec] refspec1='EchelleThAr.0012.ec' [150930.0027.ec] refspec1='EchelleThAr.0012.ec' [EchelleThAr.0012.ec] refspec1='EchelleThAr.0012.ec' [EchelleThAr.0017.ec] refspec1='EchelleThAr.0017.ec' [EchelleThAr.0025.ec] refspec1='EchelleThAr.0025.ec' [EchelleThAr.0028.ec] refspec1='EchelleThAr.0028.ec' 150930.0013.ec.fits: REFSPEC1 = 'EchelleThAr.0012.ec 1.' 150930.0013.ec.fits: ap = 1, w1 = 10812.1, w2 = 10583.97, dw = -0.13826, nw = 1651 150930.0013.ec.fits: ap = 2, w1 = 10611.91, w2 = 10388., dw = -0.1357, nw = 1651 150930.0013.ec.fits: ap = 3, w1 = 10418.99, w2 = 10199.16, dw = -0.13323, nw = 1651 150930.0013.ec.fits: ap = 4, w1 = 10232.96, w2 = 10017.05, dw = -0.13085, nw = 1651 150930.0013.ec.fits: ap = 5, w1 = 10053.46, w2 = 9841.341, dw = -0.12855, nw = 1651 150930.0013.ec.fits: ap = 6, w1 = 9880.141, w2 = 9671.685, dw = -0.12634, nw = 1651 150930.0013.ec.fits: ap = 7, w1 = 9712.702, w2 = 9507.78, dw = -0.12419, nw = 1651 150930.0013.ec.fits: ap = 8, w1 = 9550.842, w2 = 9349.338, dw = -0.12212, nw = 1651 150930.0013.ec.fits: ap = 9, w1 = 9394.289, w2 = 9196.09, dw = -0.12012, nw = 1651 150930.0013.ec.fits: ap = 10, w1 = 9242.785, w2 = 9047.784, dw = -0.11818, nw = 1651 150930.0013.ec.fits: ap = 11, w1 = 9096.09, w2 = 8904.187, dw = -0.11631, nw = 1651 150930.0013.ec.fits: ap = 12, w1 = 8953.979, w2 = 8765.076, dw = -0.11449, nw = 1651 150930.0013.ec.fits: ap = 13, w1 = 8816.24, w2 = 8630.245, dw = -0.11272, nw = 1651 150930.0013.ec.fits: ap = 14, w1 = 8682.674, w2 = 8499.499, dw = -0.11102, nw = 1651 150930.0013.ec.fits: ap = 15, w1 = 8553.095, w2 = 8372.656, dw = -0.10936, nw = 1651 150930.0013.ec.fits: ap = 16, w1 = 8427.327, w2 = 8249.544, dw = -0.10775, nw = 1651 150930.0013.ec.fits: ap = 17, w1 = 8305.204, w2 = 8129.999, dw = -0.10618, nw = 1651 150930.0013.ec.fits: ap = 18, w1 = 8186.569, w2 = 8013.87, dw = -0.10467, nw = 1651 150930.0013.ec.fits: ap = 19, w1 = 8071.277, w2 = 7901.011, dw = -0.10319, nw = 1651 150930.0013.ec.fits: ap = 20, w1 = 7959.186, w2 = 7791.288, dw = -0.10176, nw = 1651 150930.0013.ec.fits: ap = 21, w1 = 7850.166, w2 = 7684.57, dw = -0.10036, nw = 1651 150930.0013.ec.fits: ap = 22, w1 = 7744.093, w2 = 7580.737, dw = -0.099, nw = 1651 150930.0013.ec.fits: ap = 23, w1 = 7640.848, w2 = 7479.672, dw = -0.09768, nw = 1651 150930.0013.ec.fits: ap = 24, w1 = 7540.32, w2 = 7381.266, dw = -0.0964, nw = 1651 150930.0013.ec.fits: ap = 25, w1 = 7442.403, w2 = 7285.417, dw = -0.09514, nw = 1651 150930.0013.ec.fits: ap = 26, w1 = 7346.996, w2 = 7192.025, dw = -0.09392, nw = 1651 150930.0013.ec.fits: ap = 27, w1 = 7254.005, w2 = 7100.998, dw = -0.09273, nw = 1651 150930.0013.ec.fits: ap = 28, w1 = 7163.338, w2 = 7012.246, dw = -0.09157, nw = 1651 150930.0013.ec.fits: ap = 29, w1 = 7074.91, w2 = 6925.685, dw = -0.09044, nw = 1651 150930.0013.ec.fits: ap = 30, w1 = 6988.639, w2 = 6841.236, dw = -0.08934, nw = 1651 150930.0013.ec.fits: ap = 31, w1 = 6904.447, w2 = 6758.822, dw = -0.08826, nw = 1651 150930.0013.ec.fits: ap = 32, w1 = 6822.259, w2 = 6678.369, dw = -0.08721, nw = 1651 150930.0013.ec.fits: ap = 33, w1 = 6742.005, w2 = 6599.81, dw = -0.08618, nw = 1651 150930.0013.ec.fits: ap = 34, w1 = 6663.617, w2 = 6523.078, dw = -0.08518, nw = 1651 150930.0013.ec.fits: ap = 35, w1 = 6587.032, w2 = 6448.11, dw = -0.08419, nw = 1651 150930.0013.ec.fits: ap = 36, w1 = 6512.187, w2 = 6374.846, dw = -0.08324, nw = 1651 150930.0013.ec.fits: ap = 37, w1 = 6439.024, w2 = 6303.228, dw = -0.0823, nw = 1651 150930.0013.ec.fits: ap = 38, w1 = 6367.487, w2 = 6233.202, dw = -0.08139, nw = 1651 150930.0013.ec.fits: ap = 39, w1 = 6297.523, w2 = 6164.715, dw = -0.08049, nw = 1651 150930.0013.ec.fits: ap = 40, w1 = 6229.079, w2 = 6097.717, dw = -0.07961, nw = 1651 150930.0013.ec.fits: ap = 41, w1 = 6162.108, w2 = 6032.16, dw = -0.07876, nw = 1651 150930.0013.ec.fits: ap = 42, w1 = 6096.561, w2 = 5967.997, dw = -0.07792, nw = 1651 150930.0013.ec.fits: ap = 43, w1 = 6032.395, w2 = 5905.186, dw = -0.0771, nw = 1651 150930.0013.ec.fits: ap = 44, w1 = 5969.565, w2 = 5843.683, dw = -0.07629, nw = 1651 150930.0013.ec.fits: ap = 45, w1 = 5908.031, w2 = 5783.449, dw = -0.0755, nw = 1651 150930.0013.ec.fits: ap = 46, w1 = 5847.753, w2 = 5724.444, dw = -0.07473, nw = 1651 150930.0013.ec.fits: ap = 47, w1 = 5788.693, w2 = 5666.631, dw = -0.07398, nw = 1651 150930.0013.ec.fits: ap = 48, w1 = 5730.814, w2 = 5609.974, dw = -0.07324, nw = 1651 150930.0013.ec.fits: ap = 49, w1 = 5674.081, w2 = 5554.44, dw = -0.07251, nw = 1651 150930.0013.ec.fits: ap = 50, w1 = 5618.461, w2 = 5499.994, dw = -0.0718, nw = 1651 150930.0013.ec.fits: ap = 51, w1 = 5563.921, w2 = 5446.606, dw = -0.0711, nw = 1651 150930.0013.ec.fits: ap = 52, w1 = 5510.43, w2 = 5394.245, dw = -0.07042, nw = 1651 150930.0013.ec.fits: ap = 53, w1 = 5457.957, w2 = 5342.881, dw = -0.06974, nw = 1651 150930.0013.ec.fits: ap = 54, w1 = 5406.475, w2 = 5292.486, dw = -0.06908, nw = 1651 150930.0013.ec.fits: ap = 55, w1 = 5355.956, w2 = 5243.033, dw = -0.06844, nw = 1651 150930.0013.ec.fits: ap = 56, w1 = 5306.372, w2 = 5194.497, dw = -0.0678, nw = 1651 150930.0013.ec.fits: ap = 57, w1 = 5257.698, w2 = 5146.851, dw = -0.06718, nw = 1651 150930.0013.ec.fits: ap = 58, w1 = 5209.909, w2 = 5100.071, dw = -0.06657, nw = 1651 150930.0013.ec.fits: ap = 59, w1 = 5162.981, w2 = 5054.135, dw = -0.06597, nw = 1651 150930.0013.ec.fits: ap = 60, w1 = 5116.891, w2 = 5009.018, dw = -0.06538, nw = 1651 150930.0013.ec.fits: ap = 61, w1 = 5071.617, w2 = 4964.701, dw = -0.0648, nw = 1651 150930.0013.ec.fits: ap = 62, w1 = 5027.137, w2 = 4921.161, dw = -0.06423, nw = 1651 150930.0013.ec.fits: ap = 63, w1 = 4983.431, w2 = 4878.378, dw = -0.06367, nw = 1651 150930.0013.ec.fits: ap = 64, w1 = 4940.478, w2 = 4836.333, dw = -0.06312, nw = 1651 150930.0013.ec.fits: ap = 65, w1 = 4898.26, w2 = 4795.006, dw = -0.06258, nw = 1651 150930.0013.ec.fits: ap = 66, w1 = 4856.757, w2 = 4754.381, dw = -0.06205, nw = 1651 150930.0013.ec.fits: ap = 67, w1 = 4815.952, w2 = 4714.438, dw = -0.06152, nw = 1651 150930.0013.ec.fits: ap = 68, w1 = 4775.826, w2 = 4675.16, dw = -0.06101, nw = 1651 150930.0013.ec.fits: ap = 69, w1 = 4736.364, w2 = 4636.532, dw = -0.0605, nw = 1651 150930.0013.ec.fits: ap = 70, w1 = 4697.549, w2 = 4598.538, dw = -0.06001, nw = 1651 150930.0013.ec.fits: ap = 71, w1 = 4659.365, w2 = 4561.161, dw = -0.05952, nw = 1651 150930.0013.ec.fits: ap = 72, w1 = 4621.797, w2 = 4524.387, dw = -0.05904, nw = 1651 150930.0013.ec.fits: ap = 73, w1 = 4584.83, w2 = 4488.201, dw = -0.05856, nw = 1651 150930.0013.ec.fits: ap = 74, w1 = 4548.449, w2 = 4452.59, dw = -0.0581, nw = 1651 150930.0013.ec.fits: ap = 75, w1 = 4512.641, w2 = 4417.539, dw = -0.05764, nw = 1651 150930.0013.ec.fits: ap = 76, w1 = 4477.393, w2 = 4383.036, dw = -0.05719, nw = 1651 150930.0013.ec.fits: ap = 77, w1 = 4442.691, w2 = 4349.068, dw = -0.05674, nw = 1651 150930.0013.ec.fits: ap = 78, w1 = 4408.523, w2 = 4315.623, dw = -0.0563, nw = 1651 150930.0013.ec.fits: ap = 79, w1 = 4374.876, w2 = 4282.688, dw = -0.05587, nw = 1651 150930.0013.ec.fits: ap = 80, w1 = 4341.739, w2 = 4250.252, dw = -0.05545, nw = 1651 150930.0013.ec.fits: ap = 81, w1 = 4309.1, w2 = 4218.303, dw = -0.05503, nw = 1651 150930.0013.ec.fits: ap = 82, w1 = 4276.948, w2 = 4186.832, dw = -0.05462, nw = 1651 150930.0013.ec.fits: ap = 83, w1 = 4245.272, w2 = 4155.826, dw = -0.05421, nw = 1651 150930.0013.ec.fits: ap = 84, w1 = 4214.061, w2 = 4125.277, dw = -0.05381, nw = 1651 150930.0013.ec.fits: ap = 85, w1 = 4183.306, w2 = 4095.173, dw = -0.05341, nw = 1651 150930.0013.ec.fits: ap = 86, w1 = 4152.996, w2 = 4065.505, dw = -0.05302, nw = 1651 150930.0013.ec.fits: ap = 87, w1 = 4123.123, w2 = 4036.264, dw = -0.05264, nw = 1651 150930.0013.ec.fits: ap = 88, w1 = 4093.675, w2 = 4007.441, dw = -0.05226, nw = 1651 150930.0013.ec.fits: ap = 89, w1 = 4064.645, w2 = 3979.026, dw = -0.05189, nw = 1651 150930.0013.ec.fits: ap = 90, w1 = 4036.024, w2 = 3951.011, dw = -0.05152, nw = 1651 150930.0013.ec.fits: ap = 91, w1 = 4007.802, w2 = 3923.388, dw = -0.05116, nw = 1651 150930.0013.ec.fits: ap = 92, w1 = 3979.972, w2 = 3896.148, dw = -0.0508, nw = 1651 150930.0013.ec.fits: ap = 93, w1 = 3952.525, w2 = 3869.284, dw = -0.05045, nw = 1651 150930.0013.ec.fits: ap = 94, w1 = 3925.454, w2 = 3842.787, dw = -0.0501, nw = 1651 150930.0013.ec.fits: ap = 95, w1 = 3898.751, w2 = 3816.651, dw = -0.04976, nw = 1651 150930.0013.ec.fits: ap = 96, w1 = 3872.408, w2 = 3790.868, dw = -0.04942, nw = 1651 150930.0013.ec.fits: ap = 97, w1 = 3846.419, w2 = 3765.43, dw = -0.04908, nw = 1651 150930.0013.ec.fits: ap = 98, w1 = 3820.775, w2 = 3740.331, dw = -0.04875, nw = 1651 150930.0013.ec.fits: ap = 99, w1 = 3795.471, w2 = 3715.564, dw = -0.04843, nw = 1651 150930.0013.ec.fits: ap = 100, w1 = 3770.499, w2 = 3691.123, dw = -0.04811, nw = 1651 150930.0013.ec.fits: ap = 101, w1 = 3745.852, w2 = 3667.001, dw = -0.04779, nw = 1651 150930.0013.ec.fits: ap = 102, w1 = 3721.526, w2 = 3643.192, dw = -0.04748, nw = 1651 150930.0013.ec.fits: ap = 103, w1 = 3697.512, w2 = 3619.689, dw = -0.04717, nw = 1651 150930.0013.ec.fits: ap = 104, w1 = 3673.806, w2 = 3596.488, dw = -0.04686, nw = 1651 150930.0013.ec.fits: ap = 105, w1 = 3650.401, w2 = 3573.581, dw = -0.04656, nw = 1651 150930.0013.ec.fits: ap = 106, w1 = 3627.292, w2 = 3550.964, dw = -0.04626, nw = 1651 150930.0013.ec.fits: ap = 107, w1 = 3604.472, w2 = 3528.632, dw = -0.04596, nw = 1651 150930.0013.ec.fits: ap = 108, w1 = 3581.937, w2 = 3506.577, dw = -0.04567, nw = 1651 150930.0013.ec.fits: ap = 109, w1 = 3559.682, w2 = 3484.797, dw = -0.04539, nw = 1651 150930.0013.ec.fits: ap = 110, w1 = 3537.7, w2 = 3463.284, dw = -0.0451, nw = 1651 150930.0013.ec.fits: ap = 111, w1 = 3515.988, w2 = 3442.035, dw = -0.04482, nw = 1651 150930.0013.ec.fits: ap = 112, w1 = 3494.539, w2 = 3421.045, dw = -0.04454, nw = 1651 150930.0013.ec.fits: ap = 113, w1 = 3473.349, w2 = 3400.308, dw = -0.04427, nw = 1651 150930.0013.ec.fits: ap = 114, w1 = 3452.414, w2 = 3379.821, dw = -0.044, nw = 1651 150930.0013.ec.fits: ap = 115, w1 = 3431.729, w2 = 3359.578, dw = -0.04373, nw = 1651 150930.0014.ec.fits: REFSPEC1 = 'EchelleThAr.0012.ec 1.' 150930.0014.ec.fits: ap = 1, w1 = 10812.1, w2 = 10583.97, dw = -0.13826, nw = 1651 150930.0014.ec.fits: ap = 2, w1 = 10611.91, w2 = 10388., dw = -0.1357, nw = 1651 150930.0014.ec.fits: ap = 3, w1 = 10418.99, w2 = 10199.16, dw = -0.13323, nw = 1651 150930.0014.ec.fits: ap = 4, w1 = 10232.96, w2 = 10017.05, dw = -0.13085, nw = 1651 150930.0014.ec.fits: ap = 5, w1 = 10053.46, w2 = 9841.341, dw = -0.12855, nw = 1651 150930.0014.ec.fits: ap = 6, w1 = 9880.141, w2 = 9671.685, dw = -0.12634, nw = 1651 150930.0014.ec.fits: ap = 7, w1 = 9712.702, w2 = 9507.78, dw = -0.12419, nw = 1651 150930.0014.ec.fits: ap = 8, w1 = 9550.842, w2 = 9349.338, dw = -0.12212, nw = 1651 150930.0014.ec.fits: ap = 9, w1 = 9394.289, w2 = 9196.09, dw = -0.12012, nw = 1651 150930.0014.ec.fits: ap = 10, w1 = 9242.785, w2 = 9047.784, dw = -0.11818, nw = 1651 150930.0014.ec.fits: ap = 11, w1 = 9096.09, w2 = 8904.187, dw = -0.11631, nw = 1651 150930.0014.ec.fits: ap = 12, w1 = 8953.979, w2 = 8765.076, dw = -0.11449, nw = 1651 150930.0014.ec.fits: ap = 13, w1 = 8816.24, w2 = 8630.245, dw = -0.11272, nw = 1651 150930.0014.ec.fits: ap = 14, w1 = 8682.674, w2 = 8499.499, dw = -0.11102, nw = 1651 150930.0014.ec.fits: ap = 15, w1 = 8553.095, w2 = 8372.656, dw = -0.10936, nw = 1651 150930.0014.ec.fits: ap = 16, w1 = 8427.327, w2 = 8249.544, dw = -0.10775, nw = 1651 150930.0014.ec.fits: ap = 17, w1 = 8305.204, w2 = 8129.999, dw = -0.10618, nw = 1651 150930.0014.ec.fits: ap = 18, w1 = 8186.569, w2 = 8013.87, dw = -0.10467, nw = 1651 150930.0014.ec.fits: ap = 19, w1 = 8071.277, w2 = 7901.011, dw = -0.10319, nw = 1651 150930.0014.ec.fits: ap = 20, w1 = 7959.186, w2 = 7791.288, dw = -0.10176, nw = 1651 150930.0014.ec.fits: ap = 21, w1 = 7850.166, w2 = 7684.57, dw = -0.10036, nw = 1651 150930.0014.ec.fits: ap = 22, w1 = 7744.093, w2 = 7580.737, dw = -0.099, nw = 1651 150930.0014.ec.fits: ap = 23, w1 = 7640.848, w2 = 7479.672, dw = -0.09768, nw = 1651 150930.0014.ec.fits: ap = 24, w1 = 7540.32, w2 = 7381.266, dw = -0.0964, nw = 1651 150930.0014.ec.fits: ap = 25, w1 = 7442.403, w2 = 7285.417, dw = -0.09514, nw = 1651 150930.0014.ec.fits: ap = 26, w1 = 7346.996, w2 = 7192.025, dw = -0.09392, nw = 1651 150930.0014.ec.fits: ap = 27, w1 = 7254.005, w2 = 7100.998, dw = -0.09273, nw = 1651 150930.0014.ec.fits: ap = 28, w1 = 7163.338, w2 = 7012.246, dw = -0.09157, nw = 1651 150930.0014.ec.fits: ap = 29, w1 = 7074.91, w2 = 6925.685, dw = -0.09044, nw = 1651 150930.0014.ec.fits: ap = 30, w1 = 6988.639, w2 = 6841.236, dw = -0.08934, nw = 1651 150930.0014.ec.fits: ap = 31, w1 = 6904.447, w2 = 6758.822, dw = -0.08826, nw = 1651 150930.0014.ec.fits: ap = 32, w1 = 6822.259, w2 = 6678.369, dw = -0.08721, nw = 1651 150930.0014.ec.fits: ap = 33, w1 = 6742.005, w2 = 6599.81, dw = -0.08618, nw = 1651 150930.0014.ec.fits: ap = 34, w1 = 6663.617, w2 = 6523.078, dw = -0.08518, nw = 1651 150930.0014.ec.fits: ap = 35, w1 = 6587.032, w2 = 6448.11, dw = -0.08419, nw = 1651 150930.0014.ec.fits: ap = 36, w1 = 6512.187, w2 = 6374.846, dw = -0.08324, nw = 1651 150930.0014.ec.fits: ap = 37, w1 = 6439.024, w2 = 6303.228, dw = -0.0823, nw = 1651 150930.0014.ec.fits: ap = 38, w1 = 6367.487, w2 = 6233.202, dw = -0.08139, nw = 1651 150930.0014.ec.fits: ap = 39, w1 = 6297.523, w2 = 6164.715, dw = -0.08049, nw = 1651 150930.0014.ec.fits: ap = 40, w1 = 6229.079, w2 = 6097.717, dw = -0.07961, nw = 1651 150930.0014.ec.fits: ap = 41, w1 = 6162.108, w2 = 6032.16, dw = -0.07876, nw = 1651 150930.0014.ec.fits: ap = 42, w1 = 6096.561, w2 = 5967.997, dw = -0.07792, nw = 1651 150930.0014.ec.fits: ap = 43, w1 = 6032.395, w2 = 5905.186, dw = -0.0771, nw = 1651 150930.0014.ec.fits: ap = 44, w1 = 5969.565, w2 = 5843.683, dw = -0.07629, nw = 1651 150930.0014.ec.fits: ap = 45, w1 = 5908.031, w2 = 5783.449, dw = -0.0755, nw = 1651 150930.0014.ec.fits: ap = 46, w1 = 5847.753, w2 = 5724.444, dw = -0.07473, nw = 1651 150930.0014.ec.fits: ap = 47, w1 = 5788.693, w2 = 5666.631, dw = -0.07398, nw = 1651 150930.0014.ec.fits: ap = 48, w1 = 5730.814, w2 = 5609.974, dw = -0.07324, nw = 1651 150930.0014.ec.fits: ap = 49, w1 = 5674.081, w2 = 5554.44, dw = -0.07251, nw = 1651 150930.0014.ec.fits: ap = 50, w1 = 5618.461, w2 = 5499.994, dw = -0.0718, nw = 1651 150930.0014.ec.fits: ap = 51, w1 = 5563.921, w2 = 5446.606, dw = -0.0711, nw = 1651 150930.0014.ec.fits: ap = 52, w1 = 5510.43, w2 = 5394.245, dw = -0.07042, nw = 1651 150930.0014.ec.fits: ap = 53, w1 = 5457.957, w2 = 5342.881, dw = -0.06974, nw = 1651 150930.0014.ec.fits: ap = 54, w1 = 5406.475, w2 = 5292.486, dw = -0.06908, nw = 1651 150930.0014.ec.fits: ap = 55, w1 = 5355.956, w2 = 5243.033, dw = -0.06844, nw = 1651 150930.0014.ec.fits: ap = 56, w1 = 5306.372, w2 = 5194.497, dw = -0.0678, nw = 1651 150930.0014.ec.fits: ap = 57, w1 = 5257.698, w2 = 5146.851, dw = -0.06718, nw = 1651 150930.0014.ec.fits: ap = 58, w1 = 5209.909, w2 = 5100.071, dw = -0.06657, nw = 1651 150930.0014.ec.fits: ap = 59, w1 = 5162.981, w2 = 5054.135, dw = -0.06597, nw = 1651 150930.0014.ec.fits: ap = 60, w1 = 5116.891, w2 = 5009.018, dw = -0.06538, nw = 1651 150930.0014.ec.fits: ap = 61, w1 = 5071.617, w2 = 4964.701, dw = -0.0648, nw = 1651 150930.0014.ec.fits: ap = 62, w1 = 5027.137, w2 = 4921.161, dw = -0.06423, nw = 1651 150930.0014.ec.fits: ap = 63, w1 = 4983.431, w2 = 4878.378, dw = -0.06367, nw = 1651 150930.0014.ec.fits: ap = 64, w1 = 4940.478, w2 = 4836.333, dw = -0.06312, nw = 1651 150930.0014.ec.fits: ap = 65, w1 = 4898.26, w2 = 4795.006, dw = -0.06258, nw = 1651 150930.0014.ec.fits: ap = 66, w1 = 4856.757, w2 = 4754.381, dw = -0.06205, nw = 1651 150930.0014.ec.fits: ap = 67, w1 = 4815.952, w2 = 4714.438, dw = -0.06152, nw = 1651 150930.0014.ec.fits: ap = 68, w1 = 4775.826, w2 = 4675.16, dw = -0.06101, nw = 1651 150930.0014.ec.fits: ap = 69, w1 = 4736.364, w2 = 4636.532, dw = -0.0605, nw = 1651 150930.0014.ec.fits: ap = 70, w1 = 4697.549, w2 = 4598.538, dw = -0.06001, nw = 1651 150930.0014.ec.fits: ap = 71, w1 = 4659.365, w2 = 4561.161, dw = -0.05952, nw = 1651 150930.0014.ec.fits: ap = 72, w1 = 4621.797, w2 = 4524.387, dw = -0.05904, nw = 1651 150930.0014.ec.fits: ap = 73, w1 = 4584.83, w2 = 4488.201, dw = -0.05856, nw = 1651 150930.0014.ec.fits: ap = 74, w1 = 4548.449, w2 = 4452.59, dw = -0.0581, nw = 1651 150930.0014.ec.fits: ap = 75, w1 = 4512.641, w2 = 4417.539, dw = -0.05764, nw = 1651 150930.0014.ec.fits: ap = 76, w1 = 4477.393, w2 = 4383.036, dw = -0.05719, nw = 1651 150930.0014.ec.fits: ap = 77, w1 = 4442.691, w2 = 4349.068, dw = -0.05674, nw = 1651 150930.0014.ec.fits: ap = 78, w1 = 4408.523, w2 = 4315.623, dw = -0.0563, nw = 1651 150930.0014.ec.fits: ap = 79, w1 = 4374.876, w2 = 4282.688, dw = -0.05587, nw = 1651 150930.0014.ec.fits: ap = 80, w1 = 4341.739, w2 = 4250.252, dw = -0.05545, nw = 1651 150930.0014.ec.fits: ap = 81, w1 = 4309.1, w2 = 4218.303, dw = -0.05503, nw = 1651 150930.0014.ec.fits: ap = 82, w1 = 4276.948, w2 = 4186.832, dw = -0.05462, nw = 1651 150930.0014.ec.fits: ap = 83, w1 = 4245.272, w2 = 4155.826, dw = -0.05421, nw = 1651 150930.0014.ec.fits: ap = 84, w1 = 4214.061, w2 = 4125.277, dw = -0.05381, nw = 1651 150930.0014.ec.fits: ap = 85, w1 = 4183.306, w2 = 4095.173, dw = -0.05341, nw = 1651 150930.0014.ec.fits: ap = 86, w1 = 4152.996, w2 = 4065.505, dw = -0.05302, nw = 1651 150930.0014.ec.fits: ap = 87, w1 = 4123.123, w2 = 4036.264, dw = -0.05264, nw = 1651 150930.0014.ec.fits: ap = 88, w1 = 4093.675, w2 = 4007.441, dw = -0.05226, nw = 1651 150930.0014.ec.fits: ap = 89, w1 = 4064.645, w2 = 3979.026, dw = -0.05189, nw = 1651 150930.0014.ec.fits: ap = 90, w1 = 4036.024, w2 = 3951.011, dw = -0.05152, nw = 1651 150930.0014.ec.fits: ap = 91, w1 = 4007.802, w2 = 3923.388, dw = -0.05116, nw = 1651 150930.0014.ec.fits: ap = 92, w1 = 3979.972, w2 = 3896.148, dw = -0.0508, nw = 1651 150930.0014.ec.fits: ap = 93, w1 = 3952.525, w2 = 3869.284, dw = -0.05045, nw = 1651 150930.0014.ec.fits: ap = 94, w1 = 3925.454, w2 = 3842.787, dw = -0.0501, nw = 1651 150930.0014.ec.fits: ap = 95, w1 = 3898.751, w2 = 3816.651, dw = -0.04976, nw = 1651 150930.0014.ec.fits: ap = 96, w1 = 3872.408, w2 = 3790.868, dw = -0.04942, nw = 1651 150930.0014.ec.fits: ap = 97, w1 = 3846.419, w2 = 3765.43, dw = -0.04908, nw = 1651 150930.0014.ec.fits: ap = 98, w1 = 3820.775, w2 = 3740.331, dw = -0.04875, nw = 1651 150930.0014.ec.fits: ap = 99, w1 = 3795.471, w2 = 3715.564, dw = -0.04843, nw = 1651 150930.0014.ec.fits: ap = 100, w1 = 3770.499, w2 = 3691.123, dw = -0.04811, nw = 1651 150930.0014.ec.fits: ap = 101, w1 = 3745.852, w2 = 3667.001, dw = -0.04779, nw = 1651 150930.0014.ec.fits: ap = 102, w1 = 3721.526, w2 = 3643.192, dw = -0.04748, nw = 1651 150930.0014.ec.fits: ap = 103, w1 = 3697.512, w2 = 3619.689, dw = -0.04717, nw = 1651 150930.0014.ec.fits: ap = 104, w1 = 3673.806, w2 = 3596.488, dw = -0.04686, nw = 1651 150930.0014.ec.fits: ap = 105, w1 = 3650.401, w2 = 3573.581, dw = -0.04656, nw = 1651 150930.0014.ec.fits: ap = 106, w1 = 3627.292, w2 = 3550.964, dw = -0.04626, nw = 1651 150930.0014.ec.fits: ap = 107, w1 = 3604.472, w2 = 3528.632, dw = -0.04596, nw = 1651 150930.0014.ec.fits: ap = 108, w1 = 3581.937, w2 = 3506.577, dw = -0.04567, nw = 1651 150930.0014.ec.fits: ap = 109, w1 = 3559.682, w2 = 3484.797, dw = -0.04539, nw = 1651 150930.0014.ec.fits: ap = 110, w1 = 3537.7, w2 = 3463.284, dw = -0.0451, nw = 1651 150930.0014.ec.fits: ap = 111, w1 = 3515.988, w2 = 3442.035, dw = -0.04482, nw = 1651 150930.0014.ec.fits: ap = 112, w1 = 3494.539, w2 = 3421.045, dw = -0.04454, nw = 1651 150930.0014.ec.fits: ap = 113, w1 = 3473.349, w2 = 3400.308, dw = -0.04427, nw = 1651 150930.0014.ec.fits: ap = 114, w1 = 3452.414, w2 = 3379.821, dw = -0.044, nw = 1651 150930.0014.ec.fits: ap = 115, w1 = 3431.729, w2 = 3359.578, dw = -0.04373, nw = 1651 150930.0015.ec.fits: REFSPEC1 = 'EchelleThAr.0012.ec 1.' 150930.0015.ec.fits: ap = 1, w1 = 10812.1, w2 = 10583.97, dw = -0.13826, nw = 1651 150930.0015.ec.fits: ap = 2, w1 = 10611.91, w2 = 10388., dw = -0.1357, nw = 1651 150930.0015.ec.fits: ap = 3, w1 = 10418.99, w2 = 10199.16, dw = -0.13323, nw = 1651 150930.0015.ec.fits: ap = 4, w1 = 10232.96, w2 = 10017.05, dw = -0.13085, nw = 1651 150930.0015.ec.fits: ap = 5, w1 = 10053.46, w2 = 9841.341, dw = -0.12855, nw = 1651 150930.0015.ec.fits: ap = 6, w1 = 9880.141, w2 = 9671.685, dw = -0.12634, nw = 1651 150930.0015.ec.fits: ap = 7, w1 = 9712.702, w2 = 9507.78, dw = -0.12419, nw = 1651 150930.0015.ec.fits: ap = 8, w1 = 9550.842, w2 = 9349.338, dw = -0.12212, nw = 1651 150930.0015.ec.fits: ap = 9, w1 = 9394.289, w2 = 9196.09, dw = -0.12012, nw = 1651 150930.0015.ec.fits: ap = 10, w1 = 9242.785, w2 = 9047.784, dw = -0.11818, nw = 1651 150930.0015.ec.fits: ap = 11, w1 = 9096.09, w2 = 8904.187, dw = -0.11631, nw = 1651 150930.0015.ec.fits: ap = 12, w1 = 8953.979, w2 = 8765.076, dw = -0.11449, nw = 1651 150930.0015.ec.fits: ap = 13, w1 = 8816.24, w2 = 8630.245, dw = -0.11272, nw = 1651 150930.0015.ec.fits: ap = 14, w1 = 8682.674, w2 = 8499.499, dw = -0.11102, nw = 1651 150930.0015.ec.fits: ap = 15, w1 = 8553.095, w2 = 8372.656, dw = -0.10936, nw = 1651 150930.0015.ec.fits: ap = 16, w1 = 8427.327, w2 = 8249.544, dw = -0.10775, nw = 1651 150930.0015.ec.fits: ap = 17, w1 = 8305.204, w2 = 8129.999, dw = -0.10618, nw = 1651 150930.0015.ec.fits: ap = 18, w1 = 8186.569, w2 = 8013.87, dw = -0.10467, nw = 1651 150930.0015.ec.fits: ap = 19, w1 = 8071.277, w2 = 7901.011, dw = -0.10319, nw = 1651 150930.0015.ec.fits: ap = 20, w1 = 7959.186, w2 = 7791.288, dw = -0.10176, nw = 1651 150930.0015.ec.fits: ap = 21, w1 = 7850.166, w2 = 7684.57, dw = -0.10036, nw = 1651 150930.0015.ec.fits: ap = 22, w1 = 7744.093, w2 = 7580.737, dw = -0.099, nw = 1651 150930.0015.ec.fits: ap = 23, w1 = 7640.848, w2 = 7479.672, dw = -0.09768, nw = 1651 150930.0015.ec.fits: ap = 24, w1 = 7540.32, w2 = 7381.266, dw = -0.0964, nw = 1651 150930.0015.ec.fits: ap = 25, w1 = 7442.403, w2 = 7285.417, dw = -0.09514, nw = 1651 150930.0015.ec.fits: ap = 26, w1 = 7346.996, w2 = 7192.025, dw = -0.09392, nw = 1651 150930.0015.ec.fits: ap = 27, w1 = 7254.005, w2 = 7100.998, dw = -0.09273, nw = 1651 150930.0015.ec.fits: ap = 28, w1 = 7163.338, w2 = 7012.246, dw = -0.09157, nw = 1651 150930.0015.ec.fits: ap = 29, w1 = 7074.91, w2 = 6925.685, dw = -0.09044, nw = 1651 150930.0015.ec.fits: ap = 30, w1 = 6988.639, w2 = 6841.236, dw = -0.08934, nw = 1651 150930.0015.ec.fits: ap = 31, w1 = 6904.447, w2 = 6758.822, dw = -0.08826, nw = 1651 150930.0015.ec.fits: ap = 32, w1 = 6822.259, w2 = 6678.369, dw = -0.08721, nw = 1651 150930.0015.ec.fits: ap = 33, w1 = 6742.005, w2 = 6599.81, dw = -0.08618, nw = 1651 150930.0015.ec.fits: ap = 34, w1 = 6663.617, w2 = 6523.078, dw = -0.08518, nw = 1651 150930.0015.ec.fits: ap = 35, w1 = 6587.032, w2 = 6448.11, dw = -0.08419, nw = 1651 150930.0015.ec.fits: ap = 36, w1 = 6512.187, w2 = 6374.846, dw = -0.08324, nw = 1651 150930.0015.ec.fits: ap = 37, w1 = 6439.024, w2 = 6303.228, dw = -0.0823, nw = 1651 150930.0015.ec.fits: ap = 38, w1 = 6367.487, w2 = 6233.202, dw = -0.08139, nw = 1651 150930.0015.ec.fits: ap = 39, w1 = 6297.523, w2 = 6164.715, dw = -0.08049, nw = 1651 150930.0015.ec.fits: ap = 40, w1 = 6229.079, w2 = 6097.717, dw = -0.07961, nw = 1651 150930.0015.ec.fits: ap = 41, w1 = 6162.108, w2 = 6032.16, dw = -0.07876, nw = 1651 150930.0015.ec.fits: ap = 42, w1 = 6096.561, w2 = 5967.997, dw = -0.07792, nw = 1651 150930.0015.ec.fits: ap = 43, w1 = 6032.395, w2 = 5905.186, dw = -0.0771, nw = 1651 150930.0015.ec.fits: ap = 44, w1 = 5969.565, w2 = 5843.683, dw = -0.07629, nw = 1651 150930.0015.ec.fits: ap = 45, w1 = 5908.031, w2 = 5783.449, dw = -0.0755, nw = 1651 150930.0015.ec.fits: ap = 46, w1 = 5847.753, w2 = 5724.444, dw = -0.07473, nw = 1651 150930.0015.ec.fits: ap = 47, w1 = 5788.693, w2 = 5666.631, dw = -0.07398, nw = 1651 150930.0015.ec.fits: ap = 48, w1 = 5730.814, w2 = 5609.974, dw = -0.07324, nw = 1651 150930.0015.ec.fits: ap = 49, w1 = 5674.081, w2 = 5554.44, dw = -0.07251, nw = 1651 150930.0015.ec.fits: ap = 50, w1 = 5618.461, w2 = 5499.994, dw = -0.0718, nw = 1651 150930.0015.ec.fits: ap = 51, w1 = 5563.921, w2 = 5446.606, dw = -0.0711, nw = 1651 150930.0015.ec.fits: ap = 52, w1 = 5510.43, w2 = 5394.245, dw = -0.07042, nw = 1651 150930.0015.ec.fits: ap = 53, w1 = 5457.957, w2 = 5342.881, dw = -0.06974, nw = 1651 150930.0015.ec.fits: ap = 54, w1 = 5406.475, w2 = 5292.486, dw = -0.06908, nw = 1651 150930.0015.ec.fits: ap = 55, w1 = 5355.956, w2 = 5243.033, dw = -0.06844, nw = 1651 150930.0015.ec.fits: ap = 56, w1 = 5306.372, w2 = 5194.497, dw = -0.0678, nw = 1651 150930.0015.ec.fits: ap = 57, w1 = 5257.698, w2 = 5146.851, dw = -0.06718, nw = 1651 150930.0015.ec.fits: ap = 58, w1 = 5209.909, w2 = 5100.071, dw = -0.06657, nw = 1651 150930.0015.ec.fits: ap = 59, w1 = 5162.981, w2 = 5054.135, dw = -0.06597, nw = 1651 150930.0015.ec.fits: ap = 60, w1 = 5116.891, w2 = 5009.018, dw = -0.06538, nw = 1651 150930.0015.ec.fits: ap = 61, w1 = 5071.617, w2 = 4964.701, dw = -0.0648, nw = 1651 150930.0015.ec.fits: ap = 62, w1 = 5027.137, w2 = 4921.161, dw = -0.06423, nw = 1651 150930.0015.ec.fits: ap = 63, w1 = 4983.431, w2 = 4878.378, dw = -0.06367, nw = 1651 150930.0015.ec.fits: ap = 64, w1 = 4940.478, w2 = 4836.333, dw = -0.06312, nw = 1651 150930.0015.ec.fits: ap = 65, w1 = 4898.26, w2 = 4795.006, dw = -0.06258, nw = 1651 150930.0015.ec.fits: ap = 66, w1 = 4856.757, w2 = 4754.381, dw = -0.06205, nw = 1651 150930.0015.ec.fits: ap = 67, w1 = 4815.952, w2 = 4714.438, dw = -0.06152, nw = 1651 150930.0015.ec.fits: ap = 68, w1 = 4775.826, w2 = 4675.16, dw = -0.06101, nw = 1651 150930.0015.ec.fits: ap = 69, w1 = 4736.364, w2 = 4636.532, dw = -0.0605, nw = 1651 150930.0015.ec.fits: ap = 70, w1 = 4697.549, w2 = 4598.538, dw = -0.06001, nw = 1651 150930.0015.ec.fits: ap = 71, w1 = 4659.365, w2 = 4561.161, dw = -0.05952, nw = 1651 150930.0015.ec.fits: ap = 72, w1 = 4621.797, w2 = 4524.387, dw = -0.05904, nw = 1651 150930.0015.ec.fits: ap = 73, w1 = 4584.83, w2 = 4488.201, dw = -0.05856, nw = 1651 150930.0015.ec.fits: ap = 74, w1 = 4548.449, w2 = 4452.59, dw = -0.0581, nw = 1651 150930.0015.ec.fits: ap = 75, w1 = 4512.641, w2 = 4417.539, dw = -0.05764, nw = 1651 150930.0015.ec.fits: ap = 76, w1 = 4477.393, w2 = 4383.036, dw = -0.05719, nw = 1651 150930.0015.ec.fits: ap = 77, w1 = 4442.691, w2 = 4349.068, dw = -0.05674, nw = 1651 150930.0015.ec.fits: ap = 78, w1 = 4408.523, w2 = 4315.623, dw = -0.0563, nw = 1651 150930.0015.ec.fits: ap = 79, w1 = 4374.876, w2 = 4282.688, dw = -0.05587, nw = 1651 150930.0015.ec.fits: ap = 80, w1 = 4341.739, w2 = 4250.252, dw = -0.05545, nw = 1651 150930.0015.ec.fits: ap = 81, w1 = 4309.1, w2 = 4218.303, dw = -0.05503, nw = 1651 150930.0015.ec.fits: ap = 82, w1 = 4276.948, w2 = 4186.832, dw = -0.05462, nw = 1651 150930.0015.ec.fits: ap = 83, w1 = 4245.272, w2 = 4155.826, dw = -0.05421, nw = 1651 150930.0015.ec.fits: ap = 84, w1 = 4214.061, w2 = 4125.277, dw = -0.05381, nw = 1651 150930.0015.ec.fits: ap = 85, w1 = 4183.306, w2 = 4095.173, dw = -0.05341, nw = 1651 150930.0015.ec.fits: ap = 86, w1 = 4152.996, w2 = 4065.505, dw = -0.05302, nw = 1651 150930.0015.ec.fits: ap = 87, w1 = 4123.123, w2 = 4036.264, dw = -0.05264, nw = 1651 150930.0015.ec.fits: ap = 88, w1 = 4093.675, w2 = 4007.441, dw = -0.05226, nw = 1651 150930.0015.ec.fits: ap = 89, w1 = 4064.645, w2 = 3979.026, dw = -0.05189, nw = 1651 150930.0015.ec.fits: ap = 90, w1 = 4036.024, w2 = 3951.011, dw = -0.05152, nw = 1651 150930.0015.ec.fits: ap = 91, w1 = 4007.802, w2 = 3923.388, dw = -0.05116, nw = 1651 150930.0015.ec.fits: ap = 92, w1 = 3979.972, w2 = 3896.148, dw = -0.0508, nw = 1651 150930.0015.ec.fits: ap = 93, w1 = 3952.525, w2 = 3869.284, dw = -0.05045, nw = 1651 150930.0015.ec.fits: ap = 94, w1 = 3925.454, w2 = 3842.787, dw = -0.0501, nw = 1651 150930.0015.ec.fits: ap = 95, w1 = 3898.751, w2 = 3816.651, dw = -0.04976, nw = 1651 150930.0015.ec.fits: ap = 96, w1 = 3872.408, w2 = 3790.868, dw = -0.04942, nw = 1651 150930.0015.ec.fits: ap = 97, w1 = 3846.419, w2 = 3765.43, dw = -0.04908, nw = 1651 150930.0015.ec.fits: ap = 98, w1 = 3820.775, w2 = 3740.331, dw = -0.04875, nw = 1651 150930.0015.ec.fits: ap = 99, w1 = 3795.471, w2 = 3715.564, dw = -0.04843, nw = 1651 150930.0015.ec.fits: ap = 100, w1 = 3770.499, w2 = 3691.123, dw = -0.04811, nw = 1651 150930.0015.ec.fits: ap = 101, w1 = 3745.852, w2 = 3667.001, dw = -0.04779, nw = 1651 150930.0015.ec.fits: ap = 102, w1 = 3721.526, w2 = 3643.192, dw = -0.04748, nw = 1651 150930.0015.ec.fits: ap = 103, w1 = 3697.512, w2 = 3619.689, dw = -0.04717, nw = 1651 150930.0015.ec.fits: ap = 104, w1 = 3673.806, w2 = 3596.488, dw = -0.04686, nw = 1651 150930.0015.ec.fits: ap = 105, w1 = 3650.401, w2 = 3573.581, dw = -0.04656, nw = 1651 150930.0015.ec.fits: ap = 106, w1 = 3627.292, w2 = 3550.964, dw = -0.04626, nw = 1651 150930.0015.ec.fits: ap = 107, w1 = 3604.472, w2 = 3528.632, dw = -0.04596, nw = 1651 150930.0015.ec.fits: ap = 108, w1 = 3581.937, w2 = 3506.577, dw = -0.04567, nw = 1651 150930.0015.ec.fits: ap = 109, w1 = 3559.682, w2 = 3484.797, dw = -0.04539, nw = 1651 150930.0015.ec.fits: ap = 110, w1 = 3537.7, w2 = 3463.284, dw = -0.0451, nw = 1651 150930.0015.ec.fits: ap = 111, w1 = 3515.988, w2 = 3442.035, dw = -0.04482, nw = 1651 150930.0015.ec.fits: ap = 112, w1 = 3494.539, w2 = 3421.045, dw = -0.04454, nw = 1651 150930.0015.ec.fits: ap = 113, w1 = 3473.349, w2 = 3400.308, dw = -0.04427, nw = 1651 150930.0015.ec.fits: ap = 114, w1 = 3452.414, w2 = 3379.821, dw = -0.044, nw = 1651 150930.0015.ec.fits: ap = 115, w1 = 3431.729, w2 = 3359.578, dw = -0.04373, nw = 1651 150930.0016.ec.fits: REFSPEC1 = 'EchelleThAr.0012.ec 1.' 150930.0016.ec.fits: ap = 1, w1 = 10812.1, w2 = 10583.97, dw = -0.13826, nw = 1651 150930.0016.ec.fits: ap = 2, w1 = 10611.91, w2 = 10388., dw = -0.1357, nw = 1651 150930.0016.ec.fits: ap = 3, w1 = 10418.99, w2 = 10199.16, dw = -0.13323, nw = 1651 150930.0016.ec.fits: ap = 4, w1 = 10232.96, w2 = 10017.05, dw = -0.13085, nw = 1651 150930.0016.ec.fits: ap = 5, w1 = 10053.46, w2 = 9841.341, dw = -0.12855, nw = 1651 150930.0016.ec.fits: ap = 6, w1 = 9880.141, w2 = 9671.685, dw = -0.12634, nw = 1651 150930.0016.ec.fits: ap = 7, w1 = 9712.702, w2 = 9507.78, dw = -0.12419, nw = 1651 150930.0016.ec.fits: ap = 8, w1 = 9550.842, w2 = 9349.338, dw = -0.12212, nw = 1651 150930.0016.ec.fits: ap = 9, w1 = 9394.289, w2 = 9196.09, dw = -0.12012, nw = 1651 150930.0016.ec.fits: ap = 10, w1 = 9242.785, w2 = 9047.784, dw = -0.11818, nw = 1651 150930.0016.ec.fits: ap = 11, w1 = 9096.09, w2 = 8904.187, dw = -0.11631, nw = 1651 150930.0016.ec.fits: ap = 12, w1 = 8953.979, w2 = 8765.076, dw = -0.11449, nw = 1651 150930.0016.ec.fits: ap = 13, w1 = 8816.24, w2 = 8630.245, dw = -0.11272, nw = 1651 150930.0016.ec.fits: ap = 14, w1 = 8682.674, w2 = 8499.499, dw = -0.11102, nw = 1651 150930.0016.ec.fits: ap = 15, w1 = 8553.095, w2 = 8372.656, dw = -0.10936, nw = 1651 150930.0016.ec.fits: ap = 16, w1 = 8427.327, w2 = 8249.544, dw = -0.10775, nw = 1651 150930.0016.ec.fits: ap = 17, w1 = 8305.204, w2 = 8129.999, dw = -0.10618, nw = 1651 150930.0016.ec.fits: ap = 18, w1 = 8186.569, w2 = 8013.87, dw = -0.10467, nw = 1651 150930.0016.ec.fits: ap = 19, w1 = 8071.277, w2 = 7901.011, dw = -0.10319, nw = 1651 150930.0016.ec.fits: ap = 20, w1 = 7959.186, w2 = 7791.288, dw = -0.10176, nw = 1651 150930.0016.ec.fits: ap = 21, w1 = 7850.166, w2 = 7684.57, dw = -0.10036, nw = 1651 150930.0016.ec.fits: ap = 22, w1 = 7744.093, w2 = 7580.737, dw = -0.099, nw = 1651 150930.0016.ec.fits: ap = 23, w1 = 7640.848, w2 = 7479.672, dw = -0.09768, nw = 1651 150930.0016.ec.fits: ap = 24, w1 = 7540.32, w2 = 7381.266, dw = -0.0964, nw = 1651 150930.0016.ec.fits: ap = 25, w1 = 7442.403, w2 = 7285.417, dw = -0.09514, nw = 1651 150930.0016.ec.fits: ap = 26, w1 = 7346.996, w2 = 7192.025, dw = -0.09392, nw = 1651 150930.0016.ec.fits: ap = 27, w1 = 7254.005, w2 = 7100.998, dw = -0.09273, nw = 1651 150930.0016.ec.fits: ap = 28, w1 = 7163.338, w2 = 7012.246, dw = -0.09157, nw = 1651 150930.0016.ec.fits: ap = 29, w1 = 7074.91, w2 = 6925.685, dw = -0.09044, nw = 1651 150930.0016.ec.fits: ap = 30, w1 = 6988.639, w2 = 6841.236, dw = -0.08934, nw = 1651 150930.0016.ec.fits: ap = 31, w1 = 6904.447, w2 = 6758.822, dw = -0.08826, nw = 1651 150930.0016.ec.fits: ap = 32, w1 = 6822.259, w2 = 6678.369, dw = -0.08721, nw = 1651 150930.0016.ec.fits: ap = 33, w1 = 6742.005, w2 = 6599.81, dw = -0.08618, nw = 1651 150930.0016.ec.fits: ap = 34, w1 = 6663.617, w2 = 6523.078, dw = -0.08518, nw = 1651 150930.0016.ec.fits: ap = 35, w1 = 6587.032, w2 = 6448.11, dw = -0.08419, nw = 1651 150930.0016.ec.fits: ap = 36, w1 = 6512.187, w2 = 6374.846, dw = -0.08324, nw = 1651 150930.0016.ec.fits: ap = 37, w1 = 6439.024, w2 = 6303.228, dw = -0.0823, nw = 1651 150930.0016.ec.fits: ap = 38, w1 = 6367.487, w2 = 6233.202, dw = -0.08139, nw = 1651 150930.0016.ec.fits: ap = 39, w1 = 6297.523, w2 = 6164.715, dw = -0.08049, nw = 1651 150930.0016.ec.fits: ap = 40, w1 = 6229.079, w2 = 6097.717, dw = -0.07961, nw = 1651 150930.0016.ec.fits: ap = 41, w1 = 6162.108, w2 = 6032.16, dw = -0.07876, nw = 1651 150930.0016.ec.fits: ap = 42, w1 = 6096.561, w2 = 5967.997, dw = -0.07792, nw = 1651 150930.0016.ec.fits: ap = 43, w1 = 6032.395, w2 = 5905.186, dw = -0.0771, nw = 1651 150930.0016.ec.fits: ap = 44, w1 = 5969.565, w2 = 5843.683, dw = -0.07629, nw = 1651 150930.0016.ec.fits: ap = 45, w1 = 5908.031, w2 = 5783.449, dw = -0.0755, nw = 1651 150930.0016.ec.fits: ap = 46, w1 = 5847.753, w2 = 5724.444, dw = -0.07473, nw = 1651 150930.0016.ec.fits: ap = 47, w1 = 5788.693, w2 = 5666.631, dw = -0.07398, nw = 1651 150930.0016.ec.fits: ap = 48, w1 = 5730.814, w2 = 5609.974, dw = -0.07324, nw = 1651 150930.0016.ec.fits: ap = 49, w1 = 5674.081, w2 = 5554.44, dw = -0.07251, nw = 1651 150930.0016.ec.fits: ap = 50, w1 = 5618.461, w2 = 5499.994, dw = -0.0718, nw = 1651 150930.0016.ec.fits: ap = 51, w1 = 5563.921, w2 = 5446.606, dw = -0.0711, nw = 1651 150930.0016.ec.fits: ap = 52, w1 = 5510.43, w2 = 5394.245, dw = -0.07042, nw = 1651 150930.0016.ec.fits: ap = 53, w1 = 5457.957, w2 = 5342.881, dw = -0.06974, nw = 1651 150930.0016.ec.fits: ap = 54, w1 = 5406.475, w2 = 5292.486, dw = -0.06908, nw = 1651 150930.0016.ec.fits: ap = 55, w1 = 5355.956, w2 = 5243.033, dw = -0.06844, nw = 1651 150930.0016.ec.fits: ap = 56, w1 = 5306.372, w2 = 5194.497, dw = -0.0678, nw = 1651 150930.0016.ec.fits: ap = 57, w1 = 5257.698, w2 = 5146.851, dw = -0.06718, nw = 1651 150930.0016.ec.fits: ap = 58, w1 = 5209.909, w2 = 5100.071, dw = -0.06657, nw = 1651 150930.0016.ec.fits: ap = 59, w1 = 5162.981, w2 = 5054.135, dw = -0.06597, nw = 1651 150930.0016.ec.fits: ap = 60, w1 = 5116.891, w2 = 5009.018, dw = -0.06538, nw = 1651 150930.0016.ec.fits: ap = 61, w1 = 5071.617, w2 = 4964.701, dw = -0.0648, nw = 1651 150930.0016.ec.fits: ap = 62, w1 = 5027.137, w2 = 4921.161, dw = -0.06423, nw = 1651 150930.0016.ec.fits: ap = 63, w1 = 4983.431, w2 = 4878.378, dw = -0.06367, nw = 1651 150930.0016.ec.fits: ap = 64, w1 = 4940.478, w2 = 4836.333, dw = -0.06312, nw = 1651 150930.0016.ec.fits: ap = 65, w1 = 4898.26, w2 = 4795.006, dw = -0.06258, nw = 1651 150930.0016.ec.fits: ap = 66, w1 = 4856.757, w2 = 4754.381, dw = -0.06205, nw = 1651 150930.0016.ec.fits: ap = 67, w1 = 4815.952, w2 = 4714.438, dw = -0.06152, nw = 1651 150930.0016.ec.fits: ap = 68, w1 = 4775.826, w2 = 4675.16, dw = -0.06101, nw = 1651 150930.0016.ec.fits: ap = 69, w1 = 4736.364, w2 = 4636.532, dw = -0.0605, nw = 1651 150930.0016.ec.fits: ap = 70, w1 = 4697.549, w2 = 4598.538, dw = -0.06001, nw = 1651 150930.0016.ec.fits: ap = 71, w1 = 4659.365, w2 = 4561.161, dw = -0.05952, nw = 1651 150930.0016.ec.fits: ap = 72, w1 = 4621.797, w2 = 4524.387, dw = -0.05904, nw = 1651 150930.0016.ec.fits: ap = 73, w1 = 4584.83, w2 = 4488.201, dw = -0.05856, nw = 1651 150930.0016.ec.fits: ap = 74, w1 = 4548.449, w2 = 4452.59, dw = -0.0581, nw = 1651 150930.0016.ec.fits: ap = 75, w1 = 4512.641, w2 = 4417.539, dw = -0.05764, nw = 1651 150930.0016.ec.fits: ap = 76, w1 = 4477.393, w2 = 4383.036, dw = -0.05719, nw = 1651 150930.0016.ec.fits: ap = 77, w1 = 4442.691, w2 = 4349.068, dw = -0.05674, nw = 1651 150930.0016.ec.fits: ap = 78, w1 = 4408.523, w2 = 4315.623, dw = -0.0563, nw = 1651 150930.0016.ec.fits: ap = 79, w1 = 4374.876, w2 = 4282.688, dw = -0.05587, nw = 1651 150930.0016.ec.fits: ap = 80, w1 = 4341.739, w2 = 4250.252, dw = -0.05545, nw = 1651 150930.0016.ec.fits: ap = 81, w1 = 4309.1, w2 = 4218.303, dw = -0.05503, nw = 1651 150930.0016.ec.fits: ap = 82, w1 = 4276.948, w2 = 4186.832, dw = -0.05462, nw = 1651 150930.0016.ec.fits: ap = 83, w1 = 4245.272, w2 = 4155.826, dw = -0.05421, nw = 1651 150930.0016.ec.fits: ap = 84, w1 = 4214.061, w2 = 4125.277, dw = -0.05381, nw = 1651 150930.0016.ec.fits: ap = 85, w1 = 4183.306, w2 = 4095.173, dw = -0.05341, nw = 1651 150930.0016.ec.fits: ap = 86, w1 = 4152.996, w2 = 4065.505, dw = -0.05302, nw = 1651 150930.0016.ec.fits: ap = 87, w1 = 4123.123, w2 = 4036.264, dw = -0.05264, nw = 1651 150930.0016.ec.fits: ap = 88, w1 = 4093.675, w2 = 4007.441, dw = -0.05226, nw = 1651 150930.0016.ec.fits: ap = 89, w1 = 4064.645, w2 = 3979.026, dw = -0.05189, nw = 1651 150930.0016.ec.fits: ap = 90, w1 = 4036.024, w2 = 3951.011, dw = -0.05152, nw = 1651 150930.0016.ec.fits: ap = 91, w1 = 4007.802, w2 = 3923.388, dw = -0.05116, nw = 1651 150930.0016.ec.fits: ap = 92, w1 = 3979.972, w2 = 3896.148, dw = -0.0508, nw = 1651 150930.0016.ec.fits: ap = 93, w1 = 3952.525, w2 = 3869.284, dw = -0.05045, nw = 1651 150930.0016.ec.fits: ap = 94, w1 = 3925.454, w2 = 3842.787, dw = -0.0501, nw = 1651 150930.0016.ec.fits: ap = 95, w1 = 3898.751, w2 = 3816.651, dw = -0.04976, nw = 1651 150930.0016.ec.fits: ap = 96, w1 = 3872.408, w2 = 3790.868, dw = -0.04942, nw = 1651 150930.0016.ec.fits: ap = 97, w1 = 3846.419, w2 = 3765.43, dw = -0.04908, nw = 1651 150930.0016.ec.fits: ap = 98, w1 = 3820.775, w2 = 3740.331, dw = -0.04875, nw = 1651 150930.0016.ec.fits: ap = 99, w1 = 3795.471, w2 = 3715.564, dw = -0.04843, nw = 1651 150930.0016.ec.fits: ap = 100, w1 = 3770.499, w2 = 3691.123, dw = -0.04811, nw = 1651 150930.0016.ec.fits: ap = 101, w1 = 3745.852, w2 = 3667.001, dw = -0.04779, nw = 1651 150930.0016.ec.fits: ap = 102, w1 = 3721.526, w2 = 3643.192, dw = -0.04748, nw = 1651 150930.0016.ec.fits: ap = 103, w1 = 3697.512, w2 = 3619.689, dw = -0.04717, nw = 1651 150930.0016.ec.fits: ap = 104, w1 = 3673.806, w2 = 3596.488, dw = -0.04686, nw = 1651 150930.0016.ec.fits: ap = 105, w1 = 3650.401, w2 = 3573.581, dw = -0.04656, nw = 1651 150930.0016.ec.fits: ap = 106, w1 = 3627.292, w2 = 3550.964, dw = -0.04626, nw = 1651 150930.0016.ec.fits: ap = 107, w1 = 3604.472, w2 = 3528.632, dw = -0.04596, nw = 1651 150930.0016.ec.fits: ap = 108, w1 = 3581.937, w2 = 3506.577, dw = -0.04567, nw = 1651 150930.0016.ec.fits: ap = 109, w1 = 3559.682, w2 = 3484.797, dw = -0.04539, nw = 1651 150930.0016.ec.fits: ap = 110, w1 = 3537.7, w2 = 3463.284, dw = -0.0451, nw = 1651 150930.0016.ec.fits: ap = 111, w1 = 3515.988, w2 = 3442.035, dw = -0.04482, nw = 1651 150930.0016.ec.fits: ap = 112, w1 = 3494.539, w2 = 3421.045, dw = -0.04454, nw = 1651 150930.0016.ec.fits: ap = 113, w1 = 3473.349, w2 = 3400.308, dw = -0.04427, nw = 1651 150930.0016.ec.fits: ap = 114, w1 = 3452.414, w2 = 3379.821, dw = -0.044, nw = 1651 150930.0016.ec.fits: ap = 115, w1 = 3431.729, w2 = 3359.578, dw = -0.04373, nw = 1651 150930.0018.ec.fits: REFSPEC1 = 'EchelleThAr.0012.ec 1.' 150930.0018.ec.fits: ap = 1, w1 = 10812.1, w2 = 10583.97, dw = -0.13826, nw = 1651 150930.0018.ec.fits: ap = 2, w1 = 10611.91, w2 = 10388., dw = -0.1357, nw = 1651 150930.0018.ec.fits: ap = 3, w1 = 10418.99, w2 = 10199.16, dw = -0.13323, nw = 1651 150930.0018.ec.fits: ap = 4, w1 = 10232.96, w2 = 10017.05, dw = -0.13085, nw = 1651 150930.0018.ec.fits: ap = 5, w1 = 10053.46, w2 = 9841.341, dw = -0.12855, nw = 1651 150930.0018.ec.fits: ap = 6, w1 = 9880.141, w2 = 9671.685, dw = -0.12634, nw = 1651 150930.0018.ec.fits: ap = 7, w1 = 9712.702, w2 = 9507.78, dw = -0.12419, nw = 1651 150930.0018.ec.fits: ap = 8, w1 = 9550.842, w2 = 9349.338, dw = -0.12212, nw = 1651 150930.0018.ec.fits: ap = 9, w1 = 9394.289, w2 = 9196.09, dw = -0.12012, nw = 1651 150930.0018.ec.fits: ap = 10, w1 = 9242.785, w2 = 9047.784, dw = -0.11818, nw = 1651 150930.0018.ec.fits: ap = 11, w1 = 9096.09, w2 = 8904.187, dw = -0.11631, nw = 1651 150930.0018.ec.fits: ap = 12, w1 = 8953.979, w2 = 8765.076, dw = -0.11449, nw = 1651 150930.0018.ec.fits: ap = 13, w1 = 8816.24, w2 = 8630.245, dw = -0.11272, nw = 1651 150930.0018.ec.fits: ap = 14, w1 = 8682.674, w2 = 8499.499, dw = -0.11102, nw = 1651 150930.0018.ec.fits: ap = 15, w1 = 8553.095, w2 = 8372.656, dw = -0.10936, nw = 1651 150930.0018.ec.fits: ap = 16, w1 = 8427.327, w2 = 8249.544, dw = -0.10775, nw = 1651 150930.0018.ec.fits: ap = 17, w1 = 8305.204, w2 = 8129.999, dw = -0.10618, nw = 1651 150930.0018.ec.fits: ap = 18, w1 = 8186.569, w2 = 8013.87, dw = -0.10467, nw = 1651 150930.0018.ec.fits: ap = 19, w1 = 8071.277, w2 = 7901.011, dw = -0.10319, nw = 1651 150930.0018.ec.fits: ap = 20, w1 = 7959.186, w2 = 7791.288, dw = -0.10176, nw = 1651 150930.0018.ec.fits: ap = 21, w1 = 7850.166, w2 = 7684.57, dw = -0.10036, nw = 1651 150930.0018.ec.fits: ap = 22, w1 = 7744.093, w2 = 7580.737, dw = -0.099, nw = 1651 150930.0018.ec.fits: ap = 23, w1 = 7640.848, w2 = 7479.672, dw = -0.09768, nw = 1651 150930.0018.ec.fits: ap = 24, w1 = 7540.32, w2 = 7381.266, dw = -0.0964, nw = 1651 150930.0018.ec.fits: ap = 25, w1 = 7442.403, w2 = 7285.417, dw = -0.09514, nw = 1651 150930.0018.ec.fits: ap = 26, w1 = 7346.996, w2 = 7192.025, dw = -0.09392, nw = 1651 150930.0018.ec.fits: ap = 27, w1 = 7254.005, w2 = 7100.998, dw = -0.09273, nw = 1651 150930.0018.ec.fits: ap = 28, w1 = 7163.338, w2 = 7012.246, dw = -0.09157, nw = 1651 150930.0018.ec.fits: ap = 29, w1 = 7074.91, w2 = 6925.685, dw = -0.09044, nw = 1651 150930.0018.ec.fits: ap = 30, w1 = 6988.639, w2 = 6841.236, dw = -0.08934, nw = 1651 150930.0018.ec.fits: ap = 31, w1 = 6904.447, w2 = 6758.822, dw = -0.08826, nw = 1651 150930.0018.ec.fits: ap = 32, w1 = 6822.259, w2 = 6678.369, dw = -0.08721, nw = 1651 150930.0018.ec.fits: ap = 33, w1 = 6742.005, w2 = 6599.81, dw = -0.08618, nw = 1651 150930.0018.ec.fits: ap = 34, w1 = 6663.617, w2 = 6523.078, dw = -0.08518, nw = 1651 150930.0018.ec.fits: ap = 35, w1 = 6587.032, w2 = 6448.11, dw = -0.08419, nw = 1651 150930.0018.ec.fits: ap = 36, w1 = 6512.187, w2 = 6374.846, dw = -0.08324, nw = 1651 150930.0018.ec.fits: ap = 37, w1 = 6439.024, w2 = 6303.228, dw = -0.0823, nw = 1651 150930.0018.ec.fits: ap = 38, w1 = 6367.487, w2 = 6233.202, dw = -0.08139, nw = 1651 150930.0018.ec.fits: ap = 39, w1 = 6297.523, w2 = 6164.715, dw = -0.08049, nw = 1651 150930.0018.ec.fits: ap = 40, w1 = 6229.079, w2 = 6097.717, dw = -0.07961, nw = 1651 150930.0018.ec.fits: ap = 41, w1 = 6162.108, w2 = 6032.16, dw = -0.07876, nw = 1651 150930.0018.ec.fits: ap = 42, w1 = 6096.561, w2 = 5967.997, dw = -0.07792, nw = 1651 150930.0018.ec.fits: ap = 43, w1 = 6032.395, w2 = 5905.186, dw = -0.0771, nw = 1651 150930.0018.ec.fits: ap = 44, w1 = 5969.565, w2 = 5843.683, dw = -0.07629, nw = 1651 150930.0018.ec.fits: ap = 45, w1 = 5908.031, w2 = 5783.449, dw = -0.0755, nw = 1651 150930.0018.ec.fits: ap = 46, w1 = 5847.753, w2 = 5724.444, dw = -0.07473, nw = 1651 150930.0018.ec.fits: ap = 47, w1 = 5788.693, w2 = 5666.631, dw = -0.07398, nw = 1651 150930.0018.ec.fits: ap = 48, w1 = 5730.814, w2 = 5609.974, dw = -0.07324, nw = 1651 150930.0018.ec.fits: ap = 49, w1 = 5674.081, w2 = 5554.44, dw = -0.07251, nw = 1651 150930.0018.ec.fits: ap = 50, w1 = 5618.461, w2 = 5499.994, dw = -0.0718, nw = 1651 150930.0018.ec.fits: ap = 51, w1 = 5563.921, w2 = 5446.606, dw = -0.0711, nw = 1651 150930.0018.ec.fits: ap = 52, w1 = 5510.43, w2 = 5394.245, dw = -0.07042, nw = 1651 150930.0018.ec.fits: ap = 53, w1 = 5457.957, w2 = 5342.881, dw = -0.06974, nw = 1651 150930.0018.ec.fits: ap = 54, w1 = 5406.475, w2 = 5292.486, dw = -0.06908, nw = 1651 150930.0018.ec.fits: ap = 55, w1 = 5355.956, w2 = 5243.033, dw = -0.06844, nw = 1651 150930.0018.ec.fits: ap = 56, w1 = 5306.372, w2 = 5194.497, dw = -0.0678, nw = 1651 150930.0018.ec.fits: ap = 57, w1 = 5257.698, w2 = 5146.851, dw = -0.06718, nw = 1651 150930.0018.ec.fits: ap = 58, w1 = 5209.909, w2 = 5100.071, dw = -0.06657, nw = 1651 150930.0018.ec.fits: ap = 59, w1 = 5162.981, w2 = 5054.135, dw = -0.06597, nw = 1651 150930.0018.ec.fits: ap = 60, w1 = 5116.891, w2 = 5009.018, dw = -0.06538, nw = 1651 150930.0018.ec.fits: ap = 61, w1 = 5071.617, w2 = 4964.701, dw = -0.0648, nw = 1651 150930.0018.ec.fits: ap = 62, w1 = 5027.137, w2 = 4921.161, dw = -0.06423, nw = 1651 150930.0018.ec.fits: ap = 63, w1 = 4983.431, w2 = 4878.378, dw = -0.06367, nw = 1651 150930.0018.ec.fits: ap = 64, w1 = 4940.478, w2 = 4836.333, dw = -0.06312, nw = 1651 150930.0018.ec.fits: ap = 65, w1 = 4898.26, w2 = 4795.006, dw = -0.06258, nw = 1651 150930.0018.ec.fits: ap = 66, w1 = 4856.757, w2 = 4754.381, dw = -0.06205, nw = 1651 150930.0018.ec.fits: ap = 67, w1 = 4815.952, w2 = 4714.438, dw = -0.06152, nw = 1651 150930.0018.ec.fits: ap = 68, w1 = 4775.826, w2 = 4675.16, dw = -0.06101, nw = 1651 150930.0018.ec.fits: ap = 69, w1 = 4736.364, w2 = 4636.532, dw = -0.0605, nw = 1651 150930.0018.ec.fits: ap = 70, w1 = 4697.549, w2 = 4598.538, dw = -0.06001, nw = 1651 150930.0018.ec.fits: ap = 71, w1 = 4659.365, w2 = 4561.161, dw = -0.05952, nw = 1651 150930.0018.ec.fits: ap = 72, w1 = 4621.797, w2 = 4524.387, dw = -0.05904, nw = 1651 150930.0018.ec.fits: ap = 73, w1 = 4584.83, w2 = 4488.201, dw = -0.05856, nw = 1651 150930.0018.ec.fits: ap = 74, w1 = 4548.449, w2 = 4452.59, dw = -0.0581, nw = 1651 150930.0018.ec.fits: ap = 75, w1 = 4512.641, w2 = 4417.539, dw = -0.05764, nw = 1651 150930.0018.ec.fits: ap = 76, w1 = 4477.393, w2 = 4383.036, dw = -0.05719, nw = 1651 150930.0018.ec.fits: ap = 77, w1 = 4442.691, w2 = 4349.068, dw = -0.05674, nw = 1651 150930.0018.ec.fits: ap = 78, w1 = 4408.523, w2 = 4315.623, dw = -0.0563, nw = 1651 150930.0018.ec.fits: ap = 79, w1 = 4374.876, w2 = 4282.688, dw = -0.05587, nw = 1651 150930.0018.ec.fits: ap = 80, w1 = 4341.739, w2 = 4250.252, dw = -0.05545, nw = 1651 150930.0018.ec.fits: ap = 81, w1 = 4309.1, w2 = 4218.303, dw = -0.05503, nw = 1651 150930.0018.ec.fits: ap = 82, w1 = 4276.948, w2 = 4186.832, dw = -0.05462, nw = 1651 150930.0018.ec.fits: ap = 83, w1 = 4245.272, w2 = 4155.826, dw = -0.05421, nw = 1651 150930.0018.ec.fits: ap = 84, w1 = 4214.061, w2 = 4125.277, dw = -0.05381, nw = 1651 150930.0018.ec.fits: ap = 85, w1 = 4183.306, w2 = 4095.173, dw = -0.05341, nw = 1651 150930.0018.ec.fits: ap = 86, w1 = 4152.996, w2 = 4065.505, dw = -0.05302, nw = 1651 150930.0018.ec.fits: ap = 87, w1 = 4123.123, w2 = 4036.264, dw = -0.05264, nw = 1651 150930.0018.ec.fits: ap = 88, w1 = 4093.675, w2 = 4007.441, dw = -0.05226, nw = 1651 150930.0018.ec.fits: ap = 89, w1 = 4064.645, w2 = 3979.026, dw = -0.05189, nw = 1651 150930.0018.ec.fits: ap = 90, w1 = 4036.024, w2 = 3951.011, dw = -0.05152, nw = 1651 150930.0018.ec.fits: ap = 91, w1 = 4007.802, w2 = 3923.388, dw = -0.05116, nw = 1651 150930.0018.ec.fits: ap = 92, w1 = 3979.972, w2 = 3896.148, dw = -0.0508, nw = 1651 150930.0018.ec.fits: ap = 93, w1 = 3952.525, w2 = 3869.284, dw = -0.05045, nw = 1651 150930.0018.ec.fits: ap = 94, w1 = 3925.454, w2 = 3842.787, dw = -0.0501, nw = 1651 150930.0018.ec.fits: ap = 95, w1 = 3898.751, w2 = 3816.651, dw = -0.04976, nw = 1651 150930.0018.ec.fits: ap = 96, w1 = 3872.408, w2 = 3790.868, dw = -0.04942, nw = 1651 150930.0018.ec.fits: ap = 97, w1 = 3846.419, w2 = 3765.43, dw = -0.04908, nw = 1651 150930.0018.ec.fits: ap = 98, w1 = 3820.775, w2 = 3740.331, dw = -0.04875, nw = 1651 150930.0018.ec.fits: ap = 99, w1 = 3795.471, w2 = 3715.564, dw = -0.04843, nw = 1651 150930.0018.ec.fits: ap = 100, w1 = 3770.499, w2 = 3691.123, dw = -0.04811, nw = 1651 150930.0018.ec.fits: ap = 101, w1 = 3745.852, w2 = 3667.001, dw = -0.04779, nw = 1651 150930.0018.ec.fits: ap = 102, w1 = 3721.526, w2 = 3643.192, dw = -0.04748, nw = 1651 150930.0018.ec.fits: ap = 103, w1 = 3697.512, w2 = 3619.689, dw = -0.04717, nw = 1651 150930.0018.ec.fits: ap = 104, w1 = 3673.806, w2 = 3596.488, dw = -0.04686, nw = 1651 150930.0018.ec.fits: ap = 105, w1 = 3650.401, w2 = 3573.581, dw = -0.04656, nw = 1651 150930.0018.ec.fits: ap = 106, w1 = 3627.292, w2 = 3550.964, dw = -0.04626, nw = 1651 150930.0018.ec.fits: ap = 107, w1 = 3604.472, w2 = 3528.632, dw = -0.04596, nw = 1651 150930.0018.ec.fits: ap = 108, w1 = 3581.937, w2 = 3506.577, dw = -0.04567, nw = 1651 150930.0018.ec.fits: ap = 109, w1 = 3559.682, w2 = 3484.797, dw = -0.04539, nw = 1651 150930.0018.ec.fits: ap = 110, w1 = 3537.7, w2 = 3463.284, dw = -0.0451, nw = 1651 150930.0018.ec.fits: ap = 111, w1 = 3515.988, w2 = 3442.035, dw = -0.04482, nw = 1651 150930.0018.ec.fits: ap = 112, w1 = 3494.539, w2 = 3421.045, dw = -0.04454, nw = 1651 150930.0018.ec.fits: ap = 113, w1 = 3473.349, w2 = 3400.308, dw = -0.04427, nw = 1651 150930.0018.ec.fits: ap = 114, w1 = 3452.414, w2 = 3379.821, dw = -0.044, nw = 1651 150930.0018.ec.fits: ap = 115, w1 = 3431.729, w2 = 3359.578, dw = -0.04373, nw = 1651 150930.0021.ec.fits: REFSPEC1 = 'EchelleThAr.0012.ec 1.' 150930.0021.ec.fits: ap = 1, w1 = 10812.1, w2 = 10583.97, dw = -0.13826, nw = 1651 150930.0021.ec.fits: ap = 2, w1 = 10611.91, w2 = 10388., dw = -0.1357, nw = 1651 150930.0021.ec.fits: ap = 3, w1 = 10418.99, w2 = 10199.16, dw = -0.13323, nw = 1651 150930.0021.ec.fits: ap = 4, w1 = 10232.96, w2 = 10017.05, dw = -0.13085, nw = 1651 150930.0021.ec.fits: ap = 5, w1 = 10053.46, w2 = 9841.341, dw = -0.12855, nw = 1651 150930.0021.ec.fits: ap = 6, w1 = 9880.141, w2 = 9671.685, dw = -0.12634, nw = 1651 150930.0021.ec.fits: ap = 7, w1 = 9712.702, w2 = 9507.78, dw = -0.12419, nw = 1651 150930.0021.ec.fits: ap = 8, w1 = 9550.842, w2 = 9349.338, dw = -0.12212, nw = 1651 150930.0021.ec.fits: ap = 9, w1 = 9394.289, w2 = 9196.09, dw = -0.12012, nw = 1651 150930.0021.ec.fits: ap = 10, w1 = 9242.785, w2 = 9047.784, dw = -0.11818, nw = 1651 150930.0021.ec.fits: ap = 11, w1 = 9096.09, w2 = 8904.187, dw = -0.11631, nw = 1651 150930.0021.ec.fits: ap = 12, w1 = 8953.979, w2 = 8765.076, dw = -0.11449, nw = 1651 150930.0021.ec.fits: ap = 13, w1 = 8816.24, w2 = 8630.245, dw = -0.11272, nw = 1651 150930.0021.ec.fits: ap = 14, w1 = 8682.674, w2 = 8499.499, dw = -0.11102, nw = 1651 150930.0021.ec.fits: ap = 15, w1 = 8553.095, w2 = 8372.656, dw = -0.10936, nw = 1651 150930.0021.ec.fits: ap = 16, w1 = 8427.327, w2 = 8249.544, dw = -0.10775, nw = 1651 150930.0021.ec.fits: ap = 17, w1 = 8305.204, w2 = 8129.999, dw = -0.10618, nw = 1651 150930.0021.ec.fits: ap = 18, w1 = 8186.569, w2 = 8013.87, dw = -0.10467, nw = 1651 150930.0021.ec.fits: ap = 19, w1 = 8071.277, w2 = 7901.011, dw = -0.10319, nw = 1651 150930.0021.ec.fits: ap = 20, w1 = 7959.186, w2 = 7791.288, dw = -0.10176, nw = 1651 150930.0021.ec.fits: ap = 21, w1 = 7850.166, w2 = 7684.57, dw = -0.10036, nw = 1651 150930.0021.ec.fits: ap = 22, w1 = 7744.093, w2 = 7580.737, dw = -0.099, nw = 1651 150930.0021.ec.fits: ap = 23, w1 = 7640.848, w2 = 7479.672, dw = -0.09768, nw = 1651 150930.0021.ec.fits: ap = 24, w1 = 7540.32, w2 = 7381.266, dw = -0.0964, nw = 1651 150930.0021.ec.fits: ap = 25, w1 = 7442.403, w2 = 7285.417, dw = -0.09514, nw = 1651 150930.0021.ec.fits: ap = 26, w1 = 7346.996, w2 = 7192.025, dw = -0.09392, nw = 1651 150930.0021.ec.fits: ap = 27, w1 = 7254.005, w2 = 7100.998, dw = -0.09273, nw = 1651 150930.0021.ec.fits: ap = 28, w1 = 7163.338, w2 = 7012.246, dw = -0.09157, nw = 1651 150930.0021.ec.fits: ap = 29, w1 = 7074.91, w2 = 6925.685, dw = -0.09044, nw = 1651 150930.0021.ec.fits: ap = 30, w1 = 6988.639, w2 = 6841.236, dw = -0.08934, nw = 1651 150930.0021.ec.fits: ap = 31, w1 = 6904.447, w2 = 6758.822, dw = -0.08826, nw = 1651 150930.0021.ec.fits: ap = 32, w1 = 6822.259, w2 = 6678.369, dw = -0.08721, nw = 1651 150930.0021.ec.fits: ap = 33, w1 = 6742.005, w2 = 6599.81, dw = -0.08618, nw = 1651 150930.0021.ec.fits: ap = 34, w1 = 6663.617, w2 = 6523.078, dw = -0.08518, nw = 1651 150930.0021.ec.fits: ap = 35, w1 = 6587.032, w2 = 6448.11, dw = -0.08419, nw = 1651 150930.0021.ec.fits: ap = 36, w1 = 6512.187, w2 = 6374.846, dw = -0.08324, nw = 1651 150930.0021.ec.fits: ap = 37, w1 = 6439.024, w2 = 6303.228, dw = -0.0823, nw = 1651 150930.0021.ec.fits: ap = 38, w1 = 6367.487, w2 = 6233.202, dw = -0.08139, nw = 1651 150930.0021.ec.fits: ap = 39, w1 = 6297.523, w2 = 6164.715, dw = -0.08049, nw = 1651 150930.0021.ec.fits: ap = 40, w1 = 6229.079, w2 = 6097.717, dw = -0.07961, nw = 1651 150930.0021.ec.fits: ap = 41, w1 = 6162.108, w2 = 6032.16, dw = -0.07876, nw = 1651 150930.0021.ec.fits: ap = 42, w1 = 6096.561, w2 = 5967.997, dw = -0.07792, nw = 1651 150930.0021.ec.fits: ap = 43, w1 = 6032.395, w2 = 5905.186, dw = -0.0771, nw = 1651 150930.0021.ec.fits: ap = 44, w1 = 5969.565, w2 = 5843.683, dw = -0.07629, nw = 1651 150930.0021.ec.fits: ap = 45, w1 = 5908.031, w2 = 5783.449, dw = -0.0755, nw = 1651 150930.0021.ec.fits: ap = 46, w1 = 5847.753, w2 = 5724.444, dw = -0.07473, nw = 1651 150930.0021.ec.fits: ap = 47, w1 = 5788.693, w2 = 5666.631, dw = -0.07398, nw = 1651 150930.0021.ec.fits: ap = 48, w1 = 5730.814, w2 = 5609.974, dw = -0.07324, nw = 1651 150930.0021.ec.fits: ap = 49, w1 = 5674.081, w2 = 5554.44, dw = -0.07251, nw = 1651 150930.0021.ec.fits: ap = 50, w1 = 5618.461, w2 = 5499.994, dw = -0.0718, nw = 1651 150930.0021.ec.fits: ap = 51, w1 = 5563.921, w2 = 5446.606, dw = -0.0711, nw = 1651 150930.0021.ec.fits: ap = 52, w1 = 5510.43, w2 = 5394.245, dw = -0.07042, nw = 1651 150930.0021.ec.fits: ap = 53, w1 = 5457.957, w2 = 5342.881, dw = -0.06974, nw = 1651 150930.0021.ec.fits: ap = 54, w1 = 5406.475, w2 = 5292.486, dw = -0.06908, nw = 1651 150930.0021.ec.fits: ap = 55, w1 = 5355.956, w2 = 5243.033, dw = -0.06844, nw = 1651 150930.0021.ec.fits: ap = 56, w1 = 5306.372, w2 = 5194.497, dw = -0.0678, nw = 1651 150930.0021.ec.fits: ap = 57, w1 = 5257.698, w2 = 5146.851, dw = -0.06718, nw = 1651 150930.0021.ec.fits: ap = 58, w1 = 5209.909, w2 = 5100.071, dw = -0.06657, nw = 1651 150930.0021.ec.fits: ap = 59, w1 = 5162.981, w2 = 5054.135, dw = -0.06597, nw = 1651 150930.0021.ec.fits: ap = 60, w1 = 5116.891, w2 = 5009.018, dw = -0.06538, nw = 1651 150930.0021.ec.fits: ap = 61, w1 = 5071.617, w2 = 4964.701, dw = -0.0648, nw = 1651 150930.0021.ec.fits: ap = 62, w1 = 5027.137, w2 = 4921.161, dw = -0.06423, nw = 1651 150930.0021.ec.fits: ap = 63, w1 = 4983.431, w2 = 4878.378, dw = -0.06367, nw = 1651 150930.0021.ec.fits: ap = 64, w1 = 4940.478, w2 = 4836.333, dw = -0.06312, nw = 1651 150930.0021.ec.fits: ap = 65, w1 = 4898.26, w2 = 4795.006, dw = -0.06258, nw = 1651 150930.0021.ec.fits: ap = 66, w1 = 4856.757, w2 = 4754.381, dw = -0.06205, nw = 1651 150930.0021.ec.fits: ap = 67, w1 = 4815.952, w2 = 4714.438, dw = -0.06152, nw = 1651 150930.0021.ec.fits: ap = 68, w1 = 4775.826, w2 = 4675.16, dw = -0.06101, nw = 1651 150930.0021.ec.fits: ap = 69, w1 = 4736.364, w2 = 4636.532, dw = -0.0605, nw = 1651 150930.0021.ec.fits: ap = 70, w1 = 4697.549, w2 = 4598.538, dw = -0.06001, nw = 1651 150930.0021.ec.fits: ap = 71, w1 = 4659.365, w2 = 4561.161, dw = -0.05952, nw = 1651 150930.0021.ec.fits: ap = 72, w1 = 4621.797, w2 = 4524.387, dw = -0.05904, nw = 1651 150930.0021.ec.fits: ap = 73, w1 = 4584.83, w2 = 4488.201, dw = -0.05856, nw = 1651 150930.0021.ec.fits: ap = 74, w1 = 4548.449, w2 = 4452.59, dw = -0.0581, nw = 1651 150930.0021.ec.fits: ap = 75, w1 = 4512.641, w2 = 4417.539, dw = -0.05764, nw = 1651 150930.0021.ec.fits: ap = 76, w1 = 4477.393, w2 = 4383.036, dw = -0.05719, nw = 1651 150930.0021.ec.fits: ap = 77, w1 = 4442.691, w2 = 4349.068, dw = -0.05674, nw = 1651 150930.0021.ec.fits: ap = 78, w1 = 4408.523, w2 = 4315.623, dw = -0.0563, nw = 1651 150930.0021.ec.fits: ap = 79, w1 = 4374.876, w2 = 4282.688, dw = -0.05587, nw = 1651 150930.0021.ec.fits: ap = 80, w1 = 4341.739, w2 = 4250.252, dw = -0.05545, nw = 1651 150930.0021.ec.fits: ap = 81, w1 = 4309.1, w2 = 4218.303, dw = -0.05503, nw = 1651 150930.0021.ec.fits: ap = 82, w1 = 4276.948, w2 = 4186.832, dw = -0.05462, nw = 1651 150930.0021.ec.fits: ap = 83, w1 = 4245.272, w2 = 4155.826, dw = -0.05421, nw = 1651 150930.0021.ec.fits: ap = 84, w1 = 4214.061, w2 = 4125.277, dw = -0.05381, nw = 1651 150930.0021.ec.fits: ap = 85, w1 = 4183.306, w2 = 4095.173, dw = -0.05341, nw = 1651 150930.0021.ec.fits: ap = 86, w1 = 4152.996, w2 = 4065.505, dw = -0.05302, nw = 1651 150930.0021.ec.fits: ap = 87, w1 = 4123.123, w2 = 4036.264, dw = -0.05264, nw = 1651 150930.0021.ec.fits: ap = 88, w1 = 4093.675, w2 = 4007.441, dw = -0.05226, nw = 1651 150930.0021.ec.fits: ap = 89, w1 = 4064.645, w2 = 3979.026, dw = -0.05189, nw = 1651 150930.0021.ec.fits: ap = 90, w1 = 4036.024, w2 = 3951.011, dw = -0.05152, nw = 1651 150930.0021.ec.fits: ap = 91, w1 = 4007.802, w2 = 3923.388, dw = -0.05116, nw = 1651 150930.0021.ec.fits: ap = 92, w1 = 3979.972, w2 = 3896.148, dw = -0.0508, nw = 1651 150930.0021.ec.fits: ap = 93, w1 = 3952.525, w2 = 3869.284, dw = -0.05045, nw = 1651 150930.0021.ec.fits: ap = 94, w1 = 3925.454, w2 = 3842.787, dw = -0.0501, nw = 1651 150930.0021.ec.fits: ap = 95, w1 = 3898.751, w2 = 3816.651, dw = -0.04976, nw = 1651 150930.0021.ec.fits: ap = 96, w1 = 3872.408, w2 = 3790.868, dw = -0.04942, nw = 1651 150930.0021.ec.fits: ap = 97, w1 = 3846.419, w2 = 3765.43, dw = -0.04908, nw = 1651 150930.0021.ec.fits: ap = 98, w1 = 3820.775, w2 = 3740.331, dw = -0.04875, nw = 1651 150930.0021.ec.fits: ap = 99, w1 = 3795.471, w2 = 3715.564, dw = -0.04843, nw = 1651 150930.0021.ec.fits: ap = 100, w1 = 3770.499, w2 = 3691.123, dw = -0.04811, nw = 1651 150930.0021.ec.fits: ap = 101, w1 = 3745.852, w2 = 3667.001, dw = -0.04779, nw = 1651 150930.0021.ec.fits: ap = 102, w1 = 3721.526, w2 = 3643.192, dw = -0.04748, nw = 1651 150930.0021.ec.fits: ap = 103, w1 = 3697.512, w2 = 3619.689, dw = -0.04717, nw = 1651 150930.0021.ec.fits: ap = 104, w1 = 3673.806, w2 = 3596.488, dw = -0.04686, nw = 1651 150930.0021.ec.fits: ap = 105, w1 = 3650.401, w2 = 3573.581, dw = -0.04656, nw = 1651 150930.0021.ec.fits: ap = 106, w1 = 3627.292, w2 = 3550.964, dw = -0.04626, nw = 1651 150930.0021.ec.fits: ap = 107, w1 = 3604.472, w2 = 3528.632, dw = -0.04596, nw = 1651 150930.0021.ec.fits: ap = 108, w1 = 3581.937, w2 = 3506.577, dw = -0.04567, nw = 1651 150930.0021.ec.fits: ap = 109, w1 = 3559.682, w2 = 3484.797, dw = -0.04539, nw = 1651 150930.0021.ec.fits: ap = 110, w1 = 3537.7, w2 = 3463.284, dw = -0.0451, nw = 1651 150930.0021.ec.fits: ap = 111, w1 = 3515.988, w2 = 3442.035, dw = -0.04482, nw = 1651 150930.0021.ec.fits: ap = 112, w1 = 3494.539, w2 = 3421.045, dw = -0.04454, nw = 1651 150930.0021.ec.fits: ap = 113, w1 = 3473.349, w2 = 3400.308, dw = -0.04427, nw = 1651 150930.0021.ec.fits: ap = 114, w1 = 3452.414, w2 = 3379.821, dw = -0.044, nw = 1651 150930.0021.ec.fits: ap = 115, w1 = 3431.729, w2 = 3359.578, dw = -0.04373, nw = 1651 150930.0022.ec.fits: REFSPEC1 = 'EchelleThAr.0012.ec 1.' 150930.0022.ec.fits: ap = 1, w1 = 10812.1, w2 = 10583.97, dw = -0.13826, nw = 1651 150930.0022.ec.fits: ap = 2, w1 = 10611.91, w2 = 10388., dw = -0.1357, nw = 1651 150930.0022.ec.fits: ap = 3, w1 = 10418.99, w2 = 10199.16, dw = -0.13323, nw = 1651 150930.0022.ec.fits: ap = 4, w1 = 10232.96, w2 = 10017.05, dw = -0.13085, nw = 1651 150930.0022.ec.fits: ap = 5, w1 = 10053.46, w2 = 9841.341, dw = -0.12855, nw = 1651 150930.0022.ec.fits: ap = 6, w1 = 9880.141, w2 = 9671.685, dw = -0.12634, nw = 1651 150930.0022.ec.fits: ap = 7, w1 = 9712.702, w2 = 9507.78, dw = -0.12419, nw = 1651 150930.0022.ec.fits: ap = 8, w1 = 9550.842, w2 = 9349.338, dw = -0.12212, nw = 1651 150930.0022.ec.fits: ap = 9, w1 = 9394.289, w2 = 9196.09, dw = -0.12012, nw = 1651 150930.0022.ec.fits: ap = 10, w1 = 9242.785, w2 = 9047.784, dw = -0.11818, nw = 1651 150930.0022.ec.fits: ap = 11, w1 = 9096.09, w2 = 8904.187, dw = -0.11631, nw = 1651 150930.0022.ec.fits: ap = 12, w1 = 8953.979, w2 = 8765.076, dw = -0.11449, nw = 1651 150930.0022.ec.fits: ap = 13, w1 = 8816.24, w2 = 8630.245, dw = -0.11272, nw = 1651 150930.0022.ec.fits: ap = 14, w1 = 8682.674, w2 = 8499.499, dw = -0.11102, nw = 1651 150930.0022.ec.fits: ap = 15, w1 = 8553.095, w2 = 8372.656, dw = -0.10936, nw = 1651 150930.0022.ec.fits: ap = 16, w1 = 8427.327, w2 = 8249.544, dw = -0.10775, nw = 1651 150930.0022.ec.fits: ap = 17, w1 = 8305.204, w2 = 8129.999, dw = -0.10618, nw = 1651 150930.0022.ec.fits: ap = 18, w1 = 8186.569, w2 = 8013.87, dw = -0.10467, nw = 1651 150930.0022.ec.fits: ap = 19, w1 = 8071.277, w2 = 7901.011, dw = -0.10319, nw = 1651 150930.0022.ec.fits: ap = 20, w1 = 7959.186, w2 = 7791.288, dw = -0.10176, nw = 1651 150930.0022.ec.fits: ap = 21, w1 = 7850.166, w2 = 7684.57, dw = -0.10036, nw = 1651 150930.0022.ec.fits: ap = 22, w1 = 7744.093, w2 = 7580.737, dw = -0.099, nw = 1651 150930.0022.ec.fits: ap = 23, w1 = 7640.848, w2 = 7479.672, dw = -0.09768, nw = 1651 150930.0022.ec.fits: ap = 24, w1 = 7540.32, w2 = 7381.266, dw = -0.0964, nw = 1651 150930.0022.ec.fits: ap = 25, w1 = 7442.403, w2 = 7285.417, dw = -0.09514, nw = 1651 150930.0022.ec.fits: ap = 26, w1 = 7346.996, w2 = 7192.025, dw = -0.09392, nw = 1651 150930.0022.ec.fits: ap = 27, w1 = 7254.005, w2 = 7100.998, dw = -0.09273, nw = 1651 150930.0022.ec.fits: ap = 28, w1 = 7163.338, w2 = 7012.246, dw = -0.09157, nw = 1651 150930.0022.ec.fits: ap = 29, w1 = 7074.91, w2 = 6925.685, dw = -0.09044, nw = 1651 150930.0022.ec.fits: ap = 30, w1 = 6988.639, w2 = 6841.236, dw = -0.08934, nw = 1651 150930.0022.ec.fits: ap = 31, w1 = 6904.447, w2 = 6758.822, dw = -0.08826, nw = 1651 150930.0022.ec.fits: ap = 32, w1 = 6822.259, w2 = 6678.369, dw = -0.08721, nw = 1651 150930.0022.ec.fits: ap = 33, w1 = 6742.005, w2 = 6599.81, dw = -0.08618, nw = 1651 150930.0022.ec.fits: ap = 34, w1 = 6663.617, w2 = 6523.078, dw = -0.08518, nw = 1651 150930.0022.ec.fits: ap = 35, w1 = 6587.032, w2 = 6448.11, dw = -0.08419, nw = 1651 150930.0022.ec.fits: ap = 36, w1 = 6512.187, w2 = 6374.846, dw = -0.08324, nw = 1651 150930.0022.ec.fits: ap = 37, w1 = 6439.024, w2 = 6303.228, dw = -0.0823, nw = 1651 150930.0022.ec.fits: ap = 38, w1 = 6367.487, w2 = 6233.202, dw = -0.08139, nw = 1651 150930.0022.ec.fits: ap = 39, w1 = 6297.523, w2 = 6164.715, dw = -0.08049, nw = 1651 150930.0022.ec.fits: ap = 40, w1 = 6229.079, w2 = 6097.717, dw = -0.07961, nw = 1651 150930.0022.ec.fits: ap = 41, w1 = 6162.108, w2 = 6032.16, dw = -0.07876, nw = 1651 150930.0022.ec.fits: ap = 42, w1 = 6096.561, w2 = 5967.997, dw = -0.07792, nw = 1651 150930.0022.ec.fits: ap = 43, w1 = 6032.395, w2 = 5905.186, dw = -0.0771, nw = 1651 150930.0022.ec.fits: ap = 44, w1 = 5969.565, w2 = 5843.683, dw = -0.07629, nw = 1651 150930.0022.ec.fits: ap = 45, w1 = 5908.031, w2 = 5783.449, dw = -0.0755, nw = 1651 150930.0022.ec.fits: ap = 46, w1 = 5847.753, w2 = 5724.444, dw = -0.07473, nw = 1651 150930.0022.ec.fits: ap = 47, w1 = 5788.693, w2 = 5666.631, dw = -0.07398, nw = 1651 150930.0022.ec.fits: ap = 48, w1 = 5730.814, w2 = 5609.974, dw = -0.07324, nw = 1651 150930.0022.ec.fits: ap = 49, w1 = 5674.081, w2 = 5554.44, dw = -0.07251, nw = 1651 150930.0022.ec.fits: ap = 50, w1 = 5618.461, w2 = 5499.994, dw = -0.0718, nw = 1651 150930.0022.ec.fits: ap = 51, w1 = 5563.921, w2 = 5446.606, dw = -0.0711, nw = 1651 150930.0022.ec.fits: ap = 52, w1 = 5510.43, w2 = 5394.245, dw = -0.07042, nw = 1651 150930.0022.ec.fits: ap = 53, w1 = 5457.957, w2 = 5342.881, dw = -0.06974, nw = 1651 150930.0022.ec.fits: ap = 54, w1 = 5406.475, w2 = 5292.486, dw = -0.06908, nw = 1651 150930.0022.ec.fits: ap = 55, w1 = 5355.956, w2 = 5243.033, dw = -0.06844, nw = 1651 150930.0022.ec.fits: ap = 56, w1 = 5306.372, w2 = 5194.497, dw = -0.0678, nw = 1651 150930.0022.ec.fits: ap = 57, w1 = 5257.698, w2 = 5146.851, dw = -0.06718, nw = 1651 150930.0022.ec.fits: ap = 58, w1 = 5209.909, w2 = 5100.071, dw = -0.06657, nw = 1651 150930.0022.ec.fits: ap = 59, w1 = 5162.981, w2 = 5054.135, dw = -0.06597, nw = 1651 150930.0022.ec.fits: ap = 60, w1 = 5116.891, w2 = 5009.018, dw = -0.06538, nw = 1651 150930.0022.ec.fits: ap = 61, w1 = 5071.617, w2 = 4964.701, dw = -0.0648, nw = 1651 150930.0022.ec.fits: ap = 62, w1 = 5027.137, w2 = 4921.161, dw = -0.06423, nw = 1651 150930.0022.ec.fits: ap = 63, w1 = 4983.431, w2 = 4878.378, dw = -0.06367, nw = 1651 150930.0022.ec.fits: ap = 64, w1 = 4940.478, w2 = 4836.333, dw = -0.06312, nw = 1651 150930.0022.ec.fits: ap = 65, w1 = 4898.26, w2 = 4795.006, dw = -0.06258, nw = 1651 150930.0022.ec.fits: ap = 66, w1 = 4856.757, w2 = 4754.381, dw = -0.06205, nw = 1651 150930.0022.ec.fits: ap = 67, w1 = 4815.952, w2 = 4714.438, dw = -0.06152, nw = 1651 150930.0022.ec.fits: ap = 68, w1 = 4775.826, w2 = 4675.16, dw = -0.06101, nw = 1651 150930.0022.ec.fits: ap = 69, w1 = 4736.364, w2 = 4636.532, dw = -0.0605, nw = 1651 150930.0022.ec.fits: ap = 70, w1 = 4697.549, w2 = 4598.538, dw = -0.06001, nw = 1651 150930.0022.ec.fits: ap = 71, w1 = 4659.365, w2 = 4561.161, dw = -0.05952, nw = 1651 150930.0022.ec.fits: ap = 72, w1 = 4621.797, w2 = 4524.387, dw = -0.05904, nw = 1651 150930.0022.ec.fits: ap = 73, w1 = 4584.83, w2 = 4488.201, dw = -0.05856, nw = 1651 150930.0022.ec.fits: ap = 74, w1 = 4548.449, w2 = 4452.59, dw = -0.0581, nw = 1651 150930.0022.ec.fits: ap = 75, w1 = 4512.641, w2 = 4417.539, dw = -0.05764, nw = 1651 150930.0022.ec.fits: ap = 76, w1 = 4477.393, w2 = 4383.036, dw = -0.05719, nw = 1651 150930.0022.ec.fits: ap = 77, w1 = 4442.691, w2 = 4349.068, dw = -0.05674, nw = 1651 150930.0022.ec.fits: ap = 78, w1 = 4408.523, w2 = 4315.623, dw = -0.0563, nw = 1651 150930.0022.ec.fits: ap = 79, w1 = 4374.876, w2 = 4282.688, dw = -0.05587, nw = 1651 150930.0022.ec.fits: ap = 80, w1 = 4341.739, w2 = 4250.252, dw = -0.05545, nw = 1651 150930.0022.ec.fits: ap = 81, w1 = 4309.1, w2 = 4218.303, dw = -0.05503, nw = 1651 150930.0022.ec.fits: ap = 82, w1 = 4276.948, w2 = 4186.832, dw = -0.05462, nw = 1651 150930.0022.ec.fits: ap = 83, w1 = 4245.272, w2 = 4155.826, dw = -0.05421, nw = 1651 150930.0022.ec.fits: ap = 84, w1 = 4214.061, w2 = 4125.277, dw = -0.05381, nw = 1651 150930.0022.ec.fits: ap = 85, w1 = 4183.306, w2 = 4095.173, dw = -0.05341, nw = 1651 150930.0022.ec.fits: ap = 86, w1 = 4152.996, w2 = 4065.505, dw = -0.05302, nw = 1651 150930.0022.ec.fits: ap = 87, w1 = 4123.123, w2 = 4036.264, dw = -0.05264, nw = 1651 150930.0022.ec.fits: ap = 88, w1 = 4093.675, w2 = 4007.441, dw = -0.05226, nw = 1651 150930.0022.ec.fits: ap = 89, w1 = 4064.645, w2 = 3979.026, dw = -0.05189, nw = 1651 150930.0022.ec.fits: ap = 90, w1 = 4036.024, w2 = 3951.011, dw = -0.05152, nw = 1651 150930.0022.ec.fits: ap = 91, w1 = 4007.802, w2 = 3923.388, dw = -0.05116, nw = 1651 150930.0022.ec.fits: ap = 92, w1 = 3979.972, w2 = 3896.148, dw = -0.0508, nw = 1651 150930.0022.ec.fits: ap = 93, w1 = 3952.525, w2 = 3869.284, dw = -0.05045, nw = 1651 150930.0022.ec.fits: ap = 94, w1 = 3925.454, w2 = 3842.787, dw = -0.0501, nw = 1651 150930.0022.ec.fits: ap = 95, w1 = 3898.751, w2 = 3816.651, dw = -0.04976, nw = 1651 150930.0022.ec.fits: ap = 96, w1 = 3872.408, w2 = 3790.868, dw = -0.04942, nw = 1651 150930.0022.ec.fits: ap = 97, w1 = 3846.419, w2 = 3765.43, dw = -0.04908, nw = 1651 150930.0022.ec.fits: ap = 98, w1 = 3820.775, w2 = 3740.331, dw = -0.04875, nw = 1651 150930.0022.ec.fits: ap = 99, w1 = 3795.471, w2 = 3715.564, dw = -0.04843, nw = 1651 150930.0022.ec.fits: ap = 100, w1 = 3770.499, w2 = 3691.123, dw = -0.04811, nw = 1651 150930.0022.ec.fits: ap = 101, w1 = 3745.852, w2 = 3667.001, dw = -0.04779, nw = 1651 150930.0022.ec.fits: ap = 102, w1 = 3721.526, w2 = 3643.192, dw = -0.04748, nw = 1651 150930.0022.ec.fits: ap = 103, w1 = 3697.512, w2 = 3619.689, dw = -0.04717, nw = 1651 150930.0022.ec.fits: ap = 104, w1 = 3673.806, w2 = 3596.488, dw = -0.04686, nw = 1651 150930.0022.ec.fits: ap = 105, w1 = 3650.401, w2 = 3573.581, dw = -0.04656, nw = 1651 150930.0022.ec.fits: ap = 106, w1 = 3627.292, w2 = 3550.964, dw = -0.04626, nw = 1651 150930.0022.ec.fits: ap = 107, w1 = 3604.472, w2 = 3528.632, dw = -0.04596, nw = 1651 150930.0022.ec.fits: ap = 108, w1 = 3581.937, w2 = 3506.577, dw = -0.04567, nw = 1651 150930.0022.ec.fits: ap = 109, w1 = 3559.682, w2 = 3484.797, dw = -0.04539, nw = 1651 150930.0022.ec.fits: ap = 110, w1 = 3537.7, w2 = 3463.284, dw = -0.0451, nw = 1651 150930.0022.ec.fits: ap = 111, w1 = 3515.988, w2 = 3442.035, dw = -0.04482, nw = 1651 150930.0022.ec.fits: ap = 112, w1 = 3494.539, w2 = 3421.045, dw = -0.04454, nw = 1651 150930.0022.ec.fits: ap = 113, w1 = 3473.349, w2 = 3400.308, dw = -0.04427, nw = 1651 150930.0022.ec.fits: ap = 114, w1 = 3452.414, w2 = 3379.821, dw = -0.044, nw = 1651 150930.0022.ec.fits: ap = 115, w1 = 3431.729, w2 = 3359.578, dw = -0.04373, nw = 1651 150930.0023.ec.fits: REFSPEC1 = 'EchelleThAr.0012.ec 1.' 150930.0023.ec.fits: ap = 1, w1 = 10812.1, w2 = 10583.97, dw = -0.13826, nw = 1651 150930.0023.ec.fits: ap = 2, w1 = 10611.91, w2 = 10388., dw = -0.1357, nw = 1651 150930.0023.ec.fits: ap = 3, w1 = 10418.99, w2 = 10199.16, dw = -0.13323, nw = 1651 150930.0023.ec.fits: ap = 4, w1 = 10232.96, w2 = 10017.05, dw = -0.13085, nw = 1651 150930.0023.ec.fits: ap = 5, w1 = 10053.46, w2 = 9841.341, dw = -0.12855, nw = 1651 150930.0023.ec.fits: ap = 6, w1 = 9880.141, w2 = 9671.685, dw = -0.12634, nw = 1651 150930.0023.ec.fits: ap = 7, w1 = 9712.702, w2 = 9507.78, dw = -0.12419, nw = 1651 150930.0023.ec.fits: ap = 8, w1 = 9550.842, w2 = 9349.338, dw = -0.12212, nw = 1651 150930.0023.ec.fits: ap = 9, w1 = 9394.289, w2 = 9196.09, dw = -0.12012, nw = 1651 150930.0023.ec.fits: ap = 10, w1 = 9242.785, w2 = 9047.784, dw = -0.11818, nw = 1651 150930.0023.ec.fits: ap = 11, w1 = 9096.09, w2 = 8904.187, dw = -0.11631, nw = 1651 150930.0023.ec.fits: ap = 12, w1 = 8953.979, w2 = 8765.076, dw = -0.11449, nw = 1651 150930.0023.ec.fits: ap = 13, w1 = 8816.24, w2 = 8630.245, dw = -0.11272, nw = 1651 150930.0023.ec.fits: ap = 14, w1 = 8682.674, w2 = 8499.499, dw = -0.11102, nw = 1651 150930.0023.ec.fits: ap = 15, w1 = 8553.095, w2 = 8372.656, dw = -0.10936, nw = 1651 150930.0023.ec.fits: ap = 16, w1 = 8427.327, w2 = 8249.544, dw = -0.10775, nw = 1651 150930.0023.ec.fits: ap = 17, w1 = 8305.204, w2 = 8129.999, dw = -0.10618, nw = 1651 150930.0023.ec.fits: ap = 18, w1 = 8186.569, w2 = 8013.87, dw = -0.10467, nw = 1651 150930.0023.ec.fits: ap = 19, w1 = 8071.277, w2 = 7901.011, dw = -0.10319, nw = 1651 150930.0023.ec.fits: ap = 20, w1 = 7959.186, w2 = 7791.288, dw = -0.10176, nw = 1651 150930.0023.ec.fits: ap = 21, w1 = 7850.166, w2 = 7684.57, dw = -0.10036, nw = 1651 150930.0023.ec.fits: ap = 22, w1 = 7744.093, w2 = 7580.737, dw = -0.099, nw = 1651 150930.0023.ec.fits: ap = 23, w1 = 7640.848, w2 = 7479.672, dw = -0.09768, nw = 1651 150930.0023.ec.fits: ap = 24, w1 = 7540.32, w2 = 7381.266, dw = -0.0964, nw = 1651 150930.0023.ec.fits: ap = 25, w1 = 7442.403, w2 = 7285.417, dw = -0.09514, nw = 1651 150930.0023.ec.fits: ap = 26, w1 = 7346.996, w2 = 7192.025, dw = -0.09392, nw = 1651 150930.0023.ec.fits: ap = 27, w1 = 7254.005, w2 = 7100.998, dw = -0.09273, nw = 1651 150930.0023.ec.fits: ap = 28, w1 = 7163.338, w2 = 7012.246, dw = -0.09157, nw = 1651 150930.0023.ec.fits: ap = 29, w1 = 7074.91, w2 = 6925.685, dw = -0.09044, nw = 1651 150930.0023.ec.fits: ap = 30, w1 = 6988.639, w2 = 6841.236, dw = -0.08934, nw = 1651 150930.0023.ec.fits: ap = 31, w1 = 6904.447, w2 = 6758.822, dw = -0.08826, nw = 1651 150930.0023.ec.fits: ap = 32, w1 = 6822.259, w2 = 6678.369, dw = -0.08721, nw = 1651 150930.0023.ec.fits: ap = 33, w1 = 6742.005, w2 = 6599.81, dw = -0.08618, nw = 1651 150930.0023.ec.fits: ap = 34, w1 = 6663.617, w2 = 6523.078, dw = -0.08518, nw = 1651 150930.0023.ec.fits: ap = 35, w1 = 6587.032, w2 = 6448.11, dw = -0.08419, nw = 1651 150930.0023.ec.fits: ap = 36, w1 = 6512.187, w2 = 6374.846, dw = -0.08324, nw = 1651 150930.0023.ec.fits: ap = 37, w1 = 6439.024, w2 = 6303.228, dw = -0.0823, nw = 1651 150930.0023.ec.fits: ap = 38, w1 = 6367.487, w2 = 6233.202, dw = -0.08139, nw = 1651 150930.0023.ec.fits: ap = 39, w1 = 6297.523, w2 = 6164.715, dw = -0.08049, nw = 1651 150930.0023.ec.fits: ap = 40, w1 = 6229.079, w2 = 6097.717, dw = -0.07961, nw = 1651 150930.0023.ec.fits: ap = 41, w1 = 6162.108, w2 = 6032.16, dw = -0.07876, nw = 1651 150930.0023.ec.fits: ap = 42, w1 = 6096.561, w2 = 5967.997, dw = -0.07792, nw = 1651 150930.0023.ec.fits: ap = 43, w1 = 6032.395, w2 = 5905.186, dw = -0.0771, nw = 1651 150930.0023.ec.fits: ap = 44, w1 = 5969.565, w2 = 5843.683, dw = -0.07629, nw = 1651 150930.0023.ec.fits: ap = 45, w1 = 5908.031, w2 = 5783.449, dw = -0.0755, nw = 1651 150930.0023.ec.fits: ap = 46, w1 = 5847.753, w2 = 5724.444, dw = -0.07473, nw = 1651 150930.0023.ec.fits: ap = 47, w1 = 5788.693, w2 = 5666.631, dw = -0.07398, nw = 1651 150930.0023.ec.fits: ap = 48, w1 = 5730.814, w2 = 5609.974, dw = -0.07324, nw = 1651 150930.0023.ec.fits: ap = 49, w1 = 5674.081, w2 = 5554.44, dw = -0.07251, nw = 1651 150930.0023.ec.fits: ap = 50, w1 = 5618.461, w2 = 5499.994, dw = -0.0718, nw = 1651 150930.0023.ec.fits: ap = 51, w1 = 5563.921, w2 = 5446.606, dw = -0.0711, nw = 1651 150930.0023.ec.fits: ap = 52, w1 = 5510.43, w2 = 5394.245, dw = -0.07042, nw = 1651 150930.0023.ec.fits: ap = 53, w1 = 5457.957, w2 = 5342.881, dw = -0.06974, nw = 1651 150930.0023.ec.fits: ap = 54, w1 = 5406.475, w2 = 5292.486, dw = -0.06908, nw = 1651 150930.0023.ec.fits: ap = 55, w1 = 5355.956, w2 = 5243.033, dw = -0.06844, nw = 1651 150930.0023.ec.fits: ap = 56, w1 = 5306.372, w2 = 5194.497, dw = -0.0678, nw = 1651 150930.0023.ec.fits: ap = 57, w1 = 5257.698, w2 = 5146.851, dw = -0.06718, nw = 1651 150930.0023.ec.fits: ap = 58, w1 = 5209.909, w2 = 5100.071, dw = -0.06657, nw = 1651 150930.0023.ec.fits: ap = 59, w1 = 5162.981, w2 = 5054.135, dw = -0.06597, nw = 1651 150930.0023.ec.fits: ap = 60, w1 = 5116.891, w2 = 5009.018, dw = -0.06538, nw = 1651 150930.0023.ec.fits: ap = 61, w1 = 5071.617, w2 = 4964.701, dw = -0.0648, nw = 1651 150930.0023.ec.fits: ap = 62, w1 = 5027.137, w2 = 4921.161, dw = -0.06423, nw = 1651 150930.0023.ec.fits: ap = 63, w1 = 4983.431, w2 = 4878.378, dw = -0.06367, nw = 1651 150930.0023.ec.fits: ap = 64, w1 = 4940.478, w2 = 4836.333, dw = -0.06312, nw = 1651 150930.0023.ec.fits: ap = 65, w1 = 4898.26, w2 = 4795.006, dw = -0.06258, nw = 1651 150930.0023.ec.fits: ap = 66, w1 = 4856.757, w2 = 4754.381, dw = -0.06205, nw = 1651 150930.0023.ec.fits: ap = 67, w1 = 4815.952, w2 = 4714.438, dw = -0.06152, nw = 1651 150930.0023.ec.fits: ap = 68, w1 = 4775.826, w2 = 4675.16, dw = -0.06101, nw = 1651 150930.0023.ec.fits: ap = 69, w1 = 4736.364, w2 = 4636.532, dw = -0.0605, nw = 1651 150930.0023.ec.fits: ap = 70, w1 = 4697.549, w2 = 4598.538, dw = -0.06001, nw = 1651 150930.0023.ec.fits: ap = 71, w1 = 4659.365, w2 = 4561.161, dw = -0.05952, nw = 1651 150930.0023.ec.fits: ap = 72, w1 = 4621.797, w2 = 4524.387, dw = -0.05904, nw = 1651 150930.0023.ec.fits: ap = 73, w1 = 4584.83, w2 = 4488.201, dw = -0.05856, nw = 1651 150930.0023.ec.fits: ap = 74, w1 = 4548.449, w2 = 4452.59, dw = -0.0581, nw = 1651 150930.0023.ec.fits: ap = 75, w1 = 4512.641, w2 = 4417.539, dw = -0.05764, nw = 1651 150930.0023.ec.fits: ap = 76, w1 = 4477.393, w2 = 4383.036, dw = -0.05719, nw = 1651 150930.0023.ec.fits: ap = 77, w1 = 4442.691, w2 = 4349.068, dw = -0.05674, nw = 1651 150930.0023.ec.fits: ap = 78, w1 = 4408.523, w2 = 4315.623, dw = -0.0563, nw = 1651 150930.0023.ec.fits: ap = 79, w1 = 4374.876, w2 = 4282.688, dw = -0.05587, nw = 1651 150930.0023.ec.fits: ap = 80, w1 = 4341.739, w2 = 4250.252, dw = -0.05545, nw = 1651 150930.0023.ec.fits: ap = 81, w1 = 4309.1, w2 = 4218.303, dw = -0.05503, nw = 1651 150930.0023.ec.fits: ap = 82, w1 = 4276.948, w2 = 4186.832, dw = -0.05462, nw = 1651 150930.0023.ec.fits: ap = 83, w1 = 4245.272, w2 = 4155.826, dw = -0.05421, nw = 1651 150930.0023.ec.fits: ap = 84, w1 = 4214.061, w2 = 4125.277, dw = -0.05381, nw = 1651 150930.0023.ec.fits: ap = 85, w1 = 4183.306, w2 = 4095.173, dw = -0.05341, nw = 1651 150930.0023.ec.fits: ap = 86, w1 = 4152.996, w2 = 4065.505, dw = -0.05302, nw = 1651 150930.0023.ec.fits: ap = 87, w1 = 4123.123, w2 = 4036.264, dw = -0.05264, nw = 1651 150930.0023.ec.fits: ap = 88, w1 = 4093.675, w2 = 4007.441, dw = -0.05226, nw = 1651 150930.0023.ec.fits: ap = 89, w1 = 4064.645, w2 = 3979.026, dw = -0.05189, nw = 1651 150930.0023.ec.fits: ap = 90, w1 = 4036.024, w2 = 3951.011, dw = -0.05152, nw = 1651 150930.0023.ec.fits: ap = 91, w1 = 4007.802, w2 = 3923.388, dw = -0.05116, nw = 1651 150930.0023.ec.fits: ap = 92, w1 = 3979.972, w2 = 3896.148, dw = -0.0508, nw = 1651 150930.0023.ec.fits: ap = 93, w1 = 3952.525, w2 = 3869.284, dw = -0.05045, nw = 1651 150930.0023.ec.fits: ap = 94, w1 = 3925.454, w2 = 3842.787, dw = -0.0501, nw = 1651 150930.0023.ec.fits: ap = 95, w1 = 3898.751, w2 = 3816.651, dw = -0.04976, nw = 1651 150930.0023.ec.fits: ap = 96, w1 = 3872.408, w2 = 3790.868, dw = -0.04942, nw = 1651 150930.0023.ec.fits: ap = 97, w1 = 3846.419, w2 = 3765.43, dw = -0.04908, nw = 1651 150930.0023.ec.fits: ap = 98, w1 = 3820.775, w2 = 3740.331, dw = -0.04875, nw = 1651 150930.0023.ec.fits: ap = 99, w1 = 3795.471, w2 = 3715.564, dw = -0.04843, nw = 1651 150930.0023.ec.fits: ap = 100, w1 = 3770.499, w2 = 3691.123, dw = -0.04811, nw = 1651 150930.0023.ec.fits: ap = 101, w1 = 3745.852, w2 = 3667.001, dw = -0.04779, nw = 1651 150930.0023.ec.fits: ap = 102, w1 = 3721.526, w2 = 3643.192, dw = -0.04748, nw = 1651 150930.0023.ec.fits: ap = 103, w1 = 3697.512, w2 = 3619.689, dw = -0.04717, nw = 1651 150930.0023.ec.fits: ap = 104, w1 = 3673.806, w2 = 3596.488, dw = -0.04686, nw = 1651 150930.0023.ec.fits: ap = 105, w1 = 3650.401, w2 = 3573.581, dw = -0.04656, nw = 1651 150930.0023.ec.fits: ap = 106, w1 = 3627.292, w2 = 3550.964, dw = -0.04626, nw = 1651 150930.0023.ec.fits: ap = 107, w1 = 3604.472, w2 = 3528.632, dw = -0.04596, nw = 1651 150930.0023.ec.fits: ap = 108, w1 = 3581.937, w2 = 3506.577, dw = -0.04567, nw = 1651 150930.0023.ec.fits: ap = 109, w1 = 3559.682, w2 = 3484.797, dw = -0.04539, nw = 1651 150930.0023.ec.fits: ap = 110, w1 = 3537.7, w2 = 3463.284, dw = -0.0451, nw = 1651 150930.0023.ec.fits: ap = 111, w1 = 3515.988, w2 = 3442.035, dw = -0.04482, nw = 1651 150930.0023.ec.fits: ap = 112, w1 = 3494.539, w2 = 3421.045, dw = -0.04454, nw = 1651 150930.0023.ec.fits: ap = 113, w1 = 3473.349, w2 = 3400.308, dw = -0.04427, nw = 1651 150930.0023.ec.fits: ap = 114, w1 = 3452.414, w2 = 3379.821, dw = -0.044, nw = 1651 150930.0023.ec.fits: ap = 115, w1 = 3431.729, w2 = 3359.578, dw = -0.04373, nw = 1651 150930.0024.ec.fits: REFSPEC1 = 'EchelleThAr.0012.ec 1.' 150930.0024.ec.fits: ap = 1, w1 = 10812.1, w2 = 10583.97, dw = -0.13826, nw = 1651 150930.0024.ec.fits: ap = 2, w1 = 10611.91, w2 = 10388., dw = -0.1357, nw = 1651 150930.0024.ec.fits: ap = 3, w1 = 10418.99, w2 = 10199.16, dw = -0.13323, nw = 1651 150930.0024.ec.fits: ap = 4, w1 = 10232.96, w2 = 10017.05, dw = -0.13085, nw = 1651 150930.0024.ec.fits: ap = 5, w1 = 10053.46, w2 = 9841.341, dw = -0.12855, nw = 1651 150930.0024.ec.fits: ap = 6, w1 = 9880.141, w2 = 9671.685, dw = -0.12634, nw = 1651 150930.0024.ec.fits: ap = 7, w1 = 9712.702, w2 = 9507.78, dw = -0.12419, nw = 1651 150930.0024.ec.fits: ap = 8, w1 = 9550.842, w2 = 9349.338, dw = -0.12212, nw = 1651 150930.0024.ec.fits: ap = 9, w1 = 9394.289, w2 = 9196.09, dw = -0.12012, nw = 1651 150930.0024.ec.fits: ap = 10, w1 = 9242.785, w2 = 9047.784, dw = -0.11818, nw = 1651 150930.0024.ec.fits: ap = 11, w1 = 9096.09, w2 = 8904.187, dw = -0.11631, nw = 1651 150930.0024.ec.fits: ap = 12, w1 = 8953.979, w2 = 8765.076, dw = -0.11449, nw = 1651 150930.0024.ec.fits: ap = 13, w1 = 8816.24, w2 = 8630.245, dw = -0.11272, nw = 1651 150930.0024.ec.fits: ap = 14, w1 = 8682.674, w2 = 8499.499, dw = -0.11102, nw = 1651 150930.0024.ec.fits: ap = 15, w1 = 8553.095, w2 = 8372.656, dw = -0.10936, nw = 1651 150930.0024.ec.fits: ap = 16, w1 = 8427.327, w2 = 8249.544, dw = -0.10775, nw = 1651 150930.0024.ec.fits: ap = 17, w1 = 8305.204, w2 = 8129.999, dw = -0.10618, nw = 1651 150930.0024.ec.fits: ap = 18, w1 = 8186.569, w2 = 8013.87, dw = -0.10467, nw = 1651 150930.0024.ec.fits: ap = 19, w1 = 8071.277, w2 = 7901.011, dw = -0.10319, nw = 1651 150930.0024.ec.fits: ap = 20, w1 = 7959.186, w2 = 7791.288, dw = -0.10176, nw = 1651 150930.0024.ec.fits: ap = 21, w1 = 7850.166, w2 = 7684.57, dw = -0.10036, nw = 1651 150930.0024.ec.fits: ap = 22, w1 = 7744.093, w2 = 7580.737, dw = -0.099, nw = 1651 150930.0024.ec.fits: ap = 23, w1 = 7640.848, w2 = 7479.672, dw = -0.09768, nw = 1651 150930.0024.ec.fits: ap = 24, w1 = 7540.32, w2 = 7381.266, dw = -0.0964, nw = 1651 150930.0024.ec.fits: ap = 25, w1 = 7442.403, w2 = 7285.417, dw = -0.09514, nw = 1651 150930.0024.ec.fits: ap = 26, w1 = 7346.996, w2 = 7192.025, dw = -0.09392, nw = 1651 150930.0024.ec.fits: ap = 27, w1 = 7254.005, w2 = 7100.998, dw = -0.09273, nw = 1651 150930.0024.ec.fits: ap = 28, w1 = 7163.338, w2 = 7012.246, dw = -0.09157, nw = 1651 150930.0024.ec.fits: ap = 29, w1 = 7074.91, w2 = 6925.685, dw = -0.09044, nw = 1651 150930.0024.ec.fits: ap = 30, w1 = 6988.639, w2 = 6841.236, dw = -0.08934, nw = 1651 150930.0024.ec.fits: ap = 31, w1 = 6904.447, w2 = 6758.822, dw = -0.08826, nw = 1651 150930.0024.ec.fits: ap = 32, w1 = 6822.259, w2 = 6678.369, dw = -0.08721, nw = 1651 150930.0024.ec.fits: ap = 33, w1 = 6742.005, w2 = 6599.81, dw = -0.08618, nw = 1651 150930.0024.ec.fits: ap = 34, w1 = 6663.617, w2 = 6523.078, dw = -0.08518, nw = 1651 150930.0024.ec.fits: ap = 35, w1 = 6587.032, w2 = 6448.11, dw = -0.08419, nw = 1651 150930.0024.ec.fits: ap = 36, w1 = 6512.187, w2 = 6374.846, dw = -0.08324, nw = 1651 150930.0024.ec.fits: ap = 37, w1 = 6439.024, w2 = 6303.228, dw = -0.0823, nw = 1651 150930.0024.ec.fits: ap = 38, w1 = 6367.487, w2 = 6233.202, dw = -0.08139, nw = 1651 150930.0024.ec.fits: ap = 39, w1 = 6297.523, w2 = 6164.715, dw = -0.08049, nw = 1651 150930.0024.ec.fits: ap = 40, w1 = 6229.079, w2 = 6097.717, dw = -0.07961, nw = 1651 150930.0024.ec.fits: ap = 41, w1 = 6162.108, w2 = 6032.16, dw = -0.07876, nw = 1651 150930.0024.ec.fits: ap = 42, w1 = 6096.561, w2 = 5967.997, dw = -0.07792, nw = 1651 150930.0024.ec.fits: ap = 43, w1 = 6032.395, w2 = 5905.186, dw = -0.0771, nw = 1651 150930.0024.ec.fits: ap = 44, w1 = 5969.565, w2 = 5843.683, dw = -0.07629, nw = 1651 150930.0024.ec.fits: ap = 45, w1 = 5908.031, w2 = 5783.449, dw = -0.0755, nw = 1651 150930.0024.ec.fits: ap = 46, w1 = 5847.753, w2 = 5724.444, dw = -0.07473, nw = 1651 150930.0024.ec.fits: ap = 47, w1 = 5788.693, w2 = 5666.631, dw = -0.07398, nw = 1651 150930.0024.ec.fits: ap = 48, w1 = 5730.814, w2 = 5609.974, dw = -0.07324, nw = 1651 150930.0024.ec.fits: ap = 49, w1 = 5674.081, w2 = 5554.44, dw = -0.07251, nw = 1651 150930.0024.ec.fits: ap = 50, w1 = 5618.461, w2 = 5499.994, dw = -0.0718, nw = 1651 150930.0024.ec.fits: ap = 51, w1 = 5563.921, w2 = 5446.606, dw = -0.0711, nw = 1651 150930.0024.ec.fits: ap = 52, w1 = 5510.43, w2 = 5394.245, dw = -0.07042, nw = 1651 150930.0024.ec.fits: ap = 53, w1 = 5457.957, w2 = 5342.881, dw = -0.06974, nw = 1651 150930.0024.ec.fits: ap = 54, w1 = 5406.475, w2 = 5292.486, dw = -0.06908, nw = 1651 150930.0024.ec.fits: ap = 55, w1 = 5355.956, w2 = 5243.033, dw = -0.06844, nw = 1651 150930.0024.ec.fits: ap = 56, w1 = 5306.372, w2 = 5194.497, dw = -0.0678, nw = 1651 150930.0024.ec.fits: ap = 57, w1 = 5257.698, w2 = 5146.851, dw = -0.06718, nw = 1651 150930.0024.ec.fits: ap = 58, w1 = 5209.909, w2 = 5100.071, dw = -0.06657, nw = 1651 150930.0024.ec.fits: ap = 59, w1 = 5162.981, w2 = 5054.135, dw = -0.06597, nw = 1651 150930.0024.ec.fits: ap = 60, w1 = 5116.891, w2 = 5009.018, dw = -0.06538, nw = 1651 150930.0024.ec.fits: ap = 61, w1 = 5071.617, w2 = 4964.701, dw = -0.0648, nw = 1651 150930.0024.ec.fits: ap = 62, w1 = 5027.137, w2 = 4921.161, dw = -0.06423, nw = 1651 150930.0024.ec.fits: ap = 63, w1 = 4983.431, w2 = 4878.378, dw = -0.06367, nw = 1651 150930.0024.ec.fits: ap = 64, w1 = 4940.478, w2 = 4836.333, dw = -0.06312, nw = 1651 150930.0024.ec.fits: ap = 65, w1 = 4898.26, w2 = 4795.006, dw = -0.06258, nw = 1651 150930.0024.ec.fits: ap = 66, w1 = 4856.757, w2 = 4754.381, dw = -0.06205, nw = 1651 150930.0024.ec.fits: ap = 67, w1 = 4815.952, w2 = 4714.438, dw = -0.06152, nw = 1651 150930.0024.ec.fits: ap = 68, w1 = 4775.826, w2 = 4675.16, dw = -0.06101, nw = 1651 150930.0024.ec.fits: ap = 69, w1 = 4736.364, w2 = 4636.532, dw = -0.0605, nw = 1651 150930.0024.ec.fits: ap = 70, w1 = 4697.549, w2 = 4598.538, dw = -0.06001, nw = 1651 150930.0024.ec.fits: ap = 71, w1 = 4659.365, w2 = 4561.161, dw = -0.05952, nw = 1651 150930.0024.ec.fits: ap = 72, w1 = 4621.797, w2 = 4524.387, dw = -0.05904, nw = 1651 150930.0024.ec.fits: ap = 73, w1 = 4584.83, w2 = 4488.201, dw = -0.05856, nw = 1651 150930.0024.ec.fits: ap = 74, w1 = 4548.449, w2 = 4452.59, dw = -0.0581, nw = 1651 150930.0024.ec.fits: ap = 75, w1 = 4512.641, w2 = 4417.539, dw = -0.05764, nw = 1651 150930.0024.ec.fits: ap = 76, w1 = 4477.393, w2 = 4383.036, dw = -0.05719, nw = 1651 150930.0024.ec.fits: ap = 77, w1 = 4442.691, w2 = 4349.068, dw = -0.05674, nw = 1651 150930.0024.ec.fits: ap = 78, w1 = 4408.523, w2 = 4315.623, dw = -0.0563, nw = 1651 150930.0024.ec.fits: ap = 79, w1 = 4374.876, w2 = 4282.688, dw = -0.05587, nw = 1651 150930.0024.ec.fits: ap = 80, w1 = 4341.739, w2 = 4250.252, dw = -0.05545, nw = 1651 150930.0024.ec.fits: ap = 81, w1 = 4309.1, w2 = 4218.303, dw = -0.05503, nw = 1651 150930.0024.ec.fits: ap = 82, w1 = 4276.948, w2 = 4186.832, dw = -0.05462, nw = 1651 150930.0024.ec.fits: ap = 83, w1 = 4245.272, w2 = 4155.826, dw = -0.05421, nw = 1651 150930.0024.ec.fits: ap = 84, w1 = 4214.061, w2 = 4125.277, dw = -0.05381, nw = 1651 150930.0024.ec.fits: ap = 85, w1 = 4183.306, w2 = 4095.173, dw = -0.05341, nw = 1651 150930.0024.ec.fits: ap = 86, w1 = 4152.996, w2 = 4065.505, dw = -0.05302, nw = 1651 150930.0024.ec.fits: ap = 87, w1 = 4123.123, w2 = 4036.264, dw = -0.05264, nw = 1651 150930.0024.ec.fits: ap = 88, w1 = 4093.675, w2 = 4007.441, dw = -0.05226, nw = 1651 150930.0024.ec.fits: ap = 89, w1 = 4064.645, w2 = 3979.026, dw = -0.05189, nw = 1651 150930.0024.ec.fits: ap = 90, w1 = 4036.024, w2 = 3951.011, dw = -0.05152, nw = 1651 150930.0024.ec.fits: ap = 91, w1 = 4007.802, w2 = 3923.388, dw = -0.05116, nw = 1651 150930.0024.ec.fits: ap = 92, w1 = 3979.972, w2 = 3896.148, dw = -0.0508, nw = 1651 150930.0024.ec.fits: ap = 93, w1 = 3952.525, w2 = 3869.284, dw = -0.05045, nw = 1651 150930.0024.ec.fits: ap = 94, w1 = 3925.454, w2 = 3842.787, dw = -0.0501, nw = 1651 150930.0024.ec.fits: ap = 95, w1 = 3898.751, w2 = 3816.651, dw = -0.04976, nw = 1651 150930.0024.ec.fits: ap = 96, w1 = 3872.408, w2 = 3790.868, dw = -0.04942, nw = 1651 150930.0024.ec.fits: ap = 97, w1 = 3846.419, w2 = 3765.43, dw = -0.04908, nw = 1651 150930.0024.ec.fits: ap = 98, w1 = 3820.775, w2 = 3740.331, dw = -0.04875, nw = 1651 150930.0024.ec.fits: ap = 99, w1 = 3795.471, w2 = 3715.564, dw = -0.04843, nw = 1651 150930.0024.ec.fits: ap = 100, w1 = 3770.499, w2 = 3691.123, dw = -0.04811, nw = 1651 150930.0024.ec.fits: ap = 101, w1 = 3745.852, w2 = 3667.001, dw = -0.04779, nw = 1651 150930.0024.ec.fits: ap = 102, w1 = 3721.526, w2 = 3643.192, dw = -0.04748, nw = 1651 150930.0024.ec.fits: ap = 103, w1 = 3697.512, w2 = 3619.689, dw = -0.04717, nw = 1651 150930.0024.ec.fits: ap = 104, w1 = 3673.806, w2 = 3596.488, dw = -0.04686, nw = 1651 150930.0024.ec.fits: ap = 105, w1 = 3650.401, w2 = 3573.581, dw = -0.04656, nw = 1651 150930.0024.ec.fits: ap = 106, w1 = 3627.292, w2 = 3550.964, dw = -0.04626, nw = 1651 150930.0024.ec.fits: ap = 107, w1 = 3604.472, w2 = 3528.632, dw = -0.04596, nw = 1651 150930.0024.ec.fits: ap = 108, w1 = 3581.937, w2 = 3506.577, dw = -0.04567, nw = 1651 150930.0024.ec.fits: ap = 109, w1 = 3559.682, w2 = 3484.797, dw = -0.04539, nw = 1651 150930.0024.ec.fits: ap = 110, w1 = 3537.7, w2 = 3463.284, dw = -0.0451, nw = 1651 150930.0024.ec.fits: ap = 111, w1 = 3515.988, w2 = 3442.035, dw = -0.04482, nw = 1651 150930.0024.ec.fits: ap = 112, w1 = 3494.539, w2 = 3421.045, dw = -0.04454, nw = 1651 150930.0024.ec.fits: ap = 113, w1 = 3473.349, w2 = 3400.308, dw = -0.04427, nw = 1651 150930.0024.ec.fits: ap = 114, w1 = 3452.414, w2 = 3379.821, dw = -0.044, nw = 1651 150930.0024.ec.fits: ap = 115, w1 = 3431.729, w2 = 3359.578, dw = -0.04373, nw = 1651 150930.0026.ec.fits: REFSPEC1 = 'EchelleThAr.0012.ec 1.' 150930.0026.ec.fits: ap = 1, w1 = 10812.1, w2 = 10583.97, dw = -0.13826, nw = 1651 150930.0026.ec.fits: ap = 2, w1 = 10611.91, w2 = 10388., dw = -0.1357, nw = 1651 150930.0026.ec.fits: ap = 3, w1 = 10418.99, w2 = 10199.16, dw = -0.13323, nw = 1651 150930.0026.ec.fits: ap = 4, w1 = 10232.96, w2 = 10017.05, dw = -0.13085, nw = 1651 150930.0026.ec.fits: ap = 5, w1 = 10053.46, w2 = 9841.341, dw = -0.12855, nw = 1651 150930.0026.ec.fits: ap = 6, w1 = 9880.141, w2 = 9671.685, dw = -0.12634, nw = 1651 150930.0026.ec.fits: ap = 7, w1 = 9712.702, w2 = 9507.78, dw = -0.12419, nw = 1651 150930.0026.ec.fits: ap = 8, w1 = 9550.842, w2 = 9349.338, dw = -0.12212, nw = 1651 150930.0026.ec.fits: ap = 9, w1 = 9394.289, w2 = 9196.09, dw = -0.12012, nw = 1651 150930.0026.ec.fits: ap = 10, w1 = 9242.785, w2 = 9047.784, dw = -0.11818, nw = 1651 150930.0026.ec.fits: ap = 11, w1 = 9096.09, w2 = 8904.187, dw = -0.11631, nw = 1651 150930.0026.ec.fits: ap = 12, w1 = 8953.979, w2 = 8765.076, dw = -0.11449, nw = 1651 150930.0026.ec.fits: ap = 13, w1 = 8816.24, w2 = 8630.245, dw = -0.11272, nw = 1651 150930.0026.ec.fits: ap = 14, w1 = 8682.674, w2 = 8499.499, dw = -0.11102, nw = 1651 150930.0026.ec.fits: ap = 15, w1 = 8553.095, w2 = 8372.656, dw = -0.10936, nw = 1651 150930.0026.ec.fits: ap = 16, w1 = 8427.327, w2 = 8249.544, dw = -0.10775, nw = 1651 150930.0026.ec.fits: ap = 17, w1 = 8305.204, w2 = 8129.999, dw = -0.10618, nw = 1651 150930.0026.ec.fits: ap = 18, w1 = 8186.569, w2 = 8013.87, dw = -0.10467, nw = 1651 150930.0026.ec.fits: ap = 19, w1 = 8071.277, w2 = 7901.011, dw = -0.10319, nw = 1651 150930.0026.ec.fits: ap = 20, w1 = 7959.186, w2 = 7791.288, dw = -0.10176, nw = 1651 150930.0026.ec.fits: ap = 21, w1 = 7850.166, w2 = 7684.57, dw = -0.10036, nw = 1651 150930.0026.ec.fits: ap = 22, w1 = 7744.093, w2 = 7580.737, dw = -0.099, nw = 1651 150930.0026.ec.fits: ap = 23, w1 = 7640.848, w2 = 7479.672, dw = -0.09768, nw = 1651 150930.0026.ec.fits: ap = 24, w1 = 7540.32, w2 = 7381.266, dw = -0.0964, nw = 1651 150930.0026.ec.fits: ap = 25, w1 = 7442.403, w2 = 7285.417, dw = -0.09514, nw = 1651 150930.0026.ec.fits: ap = 26, w1 = 7346.996, w2 = 7192.025, dw = -0.09392, nw = 1651 150930.0026.ec.fits: ap = 27, w1 = 7254.005, w2 = 7100.998, dw = -0.09273, nw = 1651 150930.0026.ec.fits: ap = 28, w1 = 7163.338, w2 = 7012.246, dw = -0.09157, nw = 1651 150930.0026.ec.fits: ap = 29, w1 = 7074.91, w2 = 6925.685, dw = -0.09044, nw = 1651 150930.0026.ec.fits: ap = 30, w1 = 6988.639, w2 = 6841.236, dw = -0.08934, nw = 1651 150930.0026.ec.fits: ap = 31, w1 = 6904.447, w2 = 6758.822, dw = -0.08826, nw = 1651 150930.0026.ec.fits: ap = 32, w1 = 6822.259, w2 = 6678.369, dw = -0.08721, nw = 1651 150930.0026.ec.fits: ap = 33, w1 = 6742.005, w2 = 6599.81, dw = -0.08618, nw = 1651 150930.0026.ec.fits: ap = 34, w1 = 6663.617, w2 = 6523.078, dw = -0.08518, nw = 1651 150930.0026.ec.fits: ap = 35, w1 = 6587.032, w2 = 6448.11, dw = -0.08419, nw = 1651 150930.0026.ec.fits: ap = 36, w1 = 6512.187, w2 = 6374.846, dw = -0.08324, nw = 1651 150930.0026.ec.fits: ap = 37, w1 = 6439.024, w2 = 6303.228, dw = -0.0823, nw = 1651 150930.0026.ec.fits: ap = 38, w1 = 6367.487, w2 = 6233.202, dw = -0.08139, nw = 1651 150930.0026.ec.fits: ap = 39, w1 = 6297.523, w2 = 6164.715, dw = -0.08049, nw = 1651 150930.0026.ec.fits: ap = 40, w1 = 6229.079, w2 = 6097.717, dw = -0.07961, nw = 1651 150930.0026.ec.fits: ap = 41, w1 = 6162.108, w2 = 6032.16, dw = -0.07876, nw = 1651 150930.0026.ec.fits: ap = 42, w1 = 6096.561, w2 = 5967.997, dw = -0.07792, nw = 1651 150930.0026.ec.fits: ap = 43, w1 = 6032.395, w2 = 5905.186, dw = -0.0771, nw = 1651 150930.0026.ec.fits: ap = 44, w1 = 5969.565, w2 = 5843.683, dw = -0.07629, nw = 1651 150930.0026.ec.fits: ap = 45, w1 = 5908.031, w2 = 5783.449, dw = -0.0755, nw = 1651 150930.0026.ec.fits: ap = 46, w1 = 5847.753, w2 = 5724.444, dw = -0.07473, nw = 1651 150930.0026.ec.fits: ap = 47, w1 = 5788.693, w2 = 5666.631, dw = -0.07398, nw = 1651 150930.0026.ec.fits: ap = 48, w1 = 5730.814, w2 = 5609.974, dw = -0.07324, nw = 1651 150930.0026.ec.fits: ap = 49, w1 = 5674.081, w2 = 5554.44, dw = -0.07251, nw = 1651 150930.0026.ec.fits: ap = 50, w1 = 5618.461, w2 = 5499.994, dw = -0.0718, nw = 1651 150930.0026.ec.fits: ap = 51, w1 = 5563.921, w2 = 5446.606, dw = -0.0711, nw = 1651 150930.0026.ec.fits: ap = 52, w1 = 5510.43, w2 = 5394.245, dw = -0.07042, nw = 1651 150930.0026.ec.fits: ap = 53, w1 = 5457.957, w2 = 5342.881, dw = -0.06974, nw = 1651 150930.0026.ec.fits: ap = 54, w1 = 5406.475, w2 = 5292.486, dw = -0.06908, nw = 1651 150930.0026.ec.fits: ap = 55, w1 = 5355.956, w2 = 5243.033, dw = -0.06844, nw = 1651 150930.0026.ec.fits: ap = 56, w1 = 5306.372, w2 = 5194.497, dw = -0.0678, nw = 1651 150930.0026.ec.fits: ap = 57, w1 = 5257.698, w2 = 5146.851, dw = -0.06718, nw = 1651 150930.0026.ec.fits: ap = 58, w1 = 5209.909, w2 = 5100.071, dw = -0.06657, nw = 1651 150930.0026.ec.fits: ap = 59, w1 = 5162.981, w2 = 5054.135, dw = -0.06597, nw = 1651 150930.0026.ec.fits: ap = 60, w1 = 5116.891, w2 = 5009.018, dw = -0.06538, nw = 1651 150930.0026.ec.fits: ap = 61, w1 = 5071.617, w2 = 4964.701, dw = -0.0648, nw = 1651 150930.0026.ec.fits: ap = 62, w1 = 5027.137, w2 = 4921.161, dw = -0.06423, nw = 1651 150930.0026.ec.fits: ap = 63, w1 = 4983.431, w2 = 4878.378, dw = -0.06367, nw = 1651 150930.0026.ec.fits: ap = 64, w1 = 4940.478, w2 = 4836.333, dw = -0.06312, nw = 1651 150930.0026.ec.fits: ap = 65, w1 = 4898.26, w2 = 4795.006, dw = -0.06258, nw = 1651 150930.0026.ec.fits: ap = 66, w1 = 4856.757, w2 = 4754.381, dw = -0.06205, nw = 1651 150930.0026.ec.fits: ap = 67, w1 = 4815.952, w2 = 4714.438, dw = -0.06152, nw = 1651 150930.0026.ec.fits: ap = 68, w1 = 4775.826, w2 = 4675.16, dw = -0.06101, nw = 1651 150930.0026.ec.fits: ap = 69, w1 = 4736.364, w2 = 4636.532, dw = -0.0605, nw = 1651 150930.0026.ec.fits: ap = 70, w1 = 4697.549, w2 = 4598.538, dw = -0.06001, nw = 1651 150930.0026.ec.fits: ap = 71, w1 = 4659.365, w2 = 4561.161, dw = -0.05952, nw = 1651 150930.0026.ec.fits: ap = 72, w1 = 4621.797, w2 = 4524.387, dw = -0.05904, nw = 1651 150930.0026.ec.fits: ap = 73, w1 = 4584.83, w2 = 4488.201, dw = -0.05856, nw = 1651 150930.0026.ec.fits: ap = 74, w1 = 4548.449, w2 = 4452.59, dw = -0.0581, nw = 1651 150930.0026.ec.fits: ap = 75, w1 = 4512.641, w2 = 4417.539, dw = -0.05764, nw = 1651 150930.0026.ec.fits: ap = 76, w1 = 4477.393, w2 = 4383.036, dw = -0.05719, nw = 1651 150930.0026.ec.fits: ap = 77, w1 = 4442.691, w2 = 4349.068, dw = -0.05674, nw = 1651 150930.0026.ec.fits: ap = 78, w1 = 4408.523, w2 = 4315.623, dw = -0.0563, nw = 1651 150930.0026.ec.fits: ap = 79, w1 = 4374.876, w2 = 4282.688, dw = -0.05587, nw = 1651 150930.0026.ec.fits: ap = 80, w1 = 4341.739, w2 = 4250.252, dw = -0.05545, nw = 1651 150930.0026.ec.fits: ap = 81, w1 = 4309.1, w2 = 4218.303, dw = -0.05503, nw = 1651 150930.0026.ec.fits: ap = 82, w1 = 4276.948, w2 = 4186.832, dw = -0.05462, nw = 1651 150930.0026.ec.fits: ap = 83, w1 = 4245.272, w2 = 4155.826, dw = -0.05421, nw = 1651 150930.0026.ec.fits: ap = 84, w1 = 4214.061, w2 = 4125.277, dw = -0.05381, nw = 1651 150930.0026.ec.fits: ap = 85, w1 = 4183.306, w2 = 4095.173, dw = -0.05341, nw = 1651 150930.0026.ec.fits: ap = 86, w1 = 4152.996, w2 = 4065.505, dw = -0.05302, nw = 1651 150930.0026.ec.fits: ap = 87, w1 = 4123.123, w2 = 4036.264, dw = -0.05264, nw = 1651 150930.0026.ec.fits: ap = 88, w1 = 4093.675, w2 = 4007.441, dw = -0.05226, nw = 1651 150930.0026.ec.fits: ap = 89, w1 = 4064.645, w2 = 3979.026, dw = -0.05189, nw = 1651 150930.0026.ec.fits: ap = 90, w1 = 4036.024, w2 = 3951.011, dw = -0.05152, nw = 1651 150930.0026.ec.fits: ap = 91, w1 = 4007.802, w2 = 3923.388, dw = -0.05116, nw = 1651 150930.0026.ec.fits: ap = 92, w1 = 3979.972, w2 = 3896.148, dw = -0.0508, nw = 1651 150930.0026.ec.fits: ap = 93, w1 = 3952.525, w2 = 3869.284, dw = -0.05045, nw = 1651 150930.0026.ec.fits: ap = 94, w1 = 3925.454, w2 = 3842.787, dw = -0.0501, nw = 1651 150930.0026.ec.fits: ap = 95, w1 = 3898.751, w2 = 3816.651, dw = -0.04976, nw = 1651 150930.0026.ec.fits: ap = 96, w1 = 3872.408, w2 = 3790.868, dw = -0.04942, nw = 1651 150930.0026.ec.fits: ap = 97, w1 = 3846.419, w2 = 3765.43, dw = -0.04908, nw = 1651 150930.0026.ec.fits: ap = 98, w1 = 3820.775, w2 = 3740.331, dw = -0.04875, nw = 1651 150930.0026.ec.fits: ap = 99, w1 = 3795.471, w2 = 3715.564, dw = -0.04843, nw = 1651 150930.0026.ec.fits: ap = 100, w1 = 3770.499, w2 = 3691.123, dw = -0.04811, nw = 1651 150930.0026.ec.fits: ap = 101, w1 = 3745.852, w2 = 3667.001, dw = -0.04779, nw = 1651 150930.0026.ec.fits: ap = 102, w1 = 3721.526, w2 = 3643.192, dw = -0.04748, nw = 1651 150930.0026.ec.fits: ap = 103, w1 = 3697.512, w2 = 3619.689, dw = -0.04717, nw = 1651 150930.0026.ec.fits: ap = 104, w1 = 3673.806, w2 = 3596.488, dw = -0.04686, nw = 1651 150930.0026.ec.fits: ap = 105, w1 = 3650.401, w2 = 3573.581, dw = -0.04656, nw = 1651 150930.0026.ec.fits: ap = 106, w1 = 3627.292, w2 = 3550.964, dw = -0.04626, nw = 1651 150930.0026.ec.fits: ap = 107, w1 = 3604.472, w2 = 3528.632, dw = -0.04596, nw = 1651 150930.0026.ec.fits: ap = 108, w1 = 3581.937, w2 = 3506.577, dw = -0.04567, nw = 1651 150930.0026.ec.fits: ap = 109, w1 = 3559.682, w2 = 3484.797, dw = -0.04539, nw = 1651 150930.0026.ec.fits: ap = 110, w1 = 3537.7, w2 = 3463.284, dw = -0.0451, nw = 1651 150930.0026.ec.fits: ap = 111, w1 = 3515.988, w2 = 3442.035, dw = -0.04482, nw = 1651 150930.0026.ec.fits: ap = 112, w1 = 3494.539, w2 = 3421.045, dw = -0.04454, nw = 1651 150930.0026.ec.fits: ap = 113, w1 = 3473.349, w2 = 3400.308, dw = -0.04427, nw = 1651 150930.0026.ec.fits: ap = 114, w1 = 3452.414, w2 = 3379.821, dw = -0.044, nw = 1651 150930.0026.ec.fits: ap = 115, w1 = 3431.729, w2 = 3359.578, dw = -0.04373, nw = 1651 150930.0027.ec.fits: REFSPEC1 = 'EchelleThAr.0012.ec 1.' 150930.0027.ec.fits: ap = 1, w1 = 10812.1, w2 = 10583.97, dw = -0.13826, nw = 1651 150930.0027.ec.fits: ap = 2, w1 = 10611.91, w2 = 10388., dw = -0.1357, nw = 1651 150930.0027.ec.fits: ap = 3, w1 = 10418.99, w2 = 10199.16, dw = -0.13323, nw = 1651 150930.0027.ec.fits: ap = 4, w1 = 10232.96, w2 = 10017.05, dw = -0.13085, nw = 1651 150930.0027.ec.fits: ap = 5, w1 = 10053.46, w2 = 9841.341, dw = -0.12855, nw = 1651 150930.0027.ec.fits: ap = 6, w1 = 9880.141, w2 = 9671.685, dw = -0.12634, nw = 1651 150930.0027.ec.fits: ap = 7, w1 = 9712.702, w2 = 9507.78, dw = -0.12419, nw = 1651 150930.0027.ec.fits: ap = 8, w1 = 9550.842, w2 = 9349.338, dw = -0.12212, nw = 1651 150930.0027.ec.fits: ap = 9, w1 = 9394.289, w2 = 9196.09, dw = -0.12012, nw = 1651 150930.0027.ec.fits: ap = 10, w1 = 9242.785, w2 = 9047.784, dw = -0.11818, nw = 1651 150930.0027.ec.fits: ap = 11, w1 = 9096.09, w2 = 8904.187, dw = -0.11631, nw = 1651 150930.0027.ec.fits: ap = 12, w1 = 8953.979, w2 = 8765.076, dw = -0.11449, nw = 1651 150930.0027.ec.fits: ap = 13, w1 = 8816.24, w2 = 8630.245, dw = -0.11272, nw = 1651 150930.0027.ec.fits: ap = 14, w1 = 8682.674, w2 = 8499.499, dw = -0.11102, nw = 1651 150930.0027.ec.fits: ap = 15, w1 = 8553.095, w2 = 8372.656, dw = -0.10936, nw = 1651 150930.0027.ec.fits: ap = 16, w1 = 8427.327, w2 = 8249.544, dw = -0.10775, nw = 1651 150930.0027.ec.fits: ap = 17, w1 = 8305.204, w2 = 8129.999, dw = -0.10618, nw = 1651 150930.0027.ec.fits: ap = 18, w1 = 8186.569, w2 = 8013.87, dw = -0.10467, nw = 1651 150930.0027.ec.fits: ap = 19, w1 = 8071.277, w2 = 7901.011, dw = -0.10319, nw = 1651 150930.0027.ec.fits: ap = 20, w1 = 7959.186, w2 = 7791.288, dw = -0.10176, nw = 1651 150930.0027.ec.fits: ap = 21, w1 = 7850.166, w2 = 7684.57, dw = -0.10036, nw = 1651 150930.0027.ec.fits: ap = 22, w1 = 7744.093, w2 = 7580.737, dw = -0.099, nw = 1651 150930.0027.ec.fits: ap = 23, w1 = 7640.848, w2 = 7479.672, dw = -0.09768, nw = 1651 150930.0027.ec.fits: ap = 24, w1 = 7540.32, w2 = 7381.266, dw = -0.0964, nw = 1651 150930.0027.ec.fits: ap = 25, w1 = 7442.403, w2 = 7285.417, dw = -0.09514, nw = 1651 150930.0027.ec.fits: ap = 26, w1 = 7346.996, w2 = 7192.025, dw = -0.09392, nw = 1651 150930.0027.ec.fits: ap = 27, w1 = 7254.005, w2 = 7100.998, dw = -0.09273, nw = 1651 150930.0027.ec.fits: ap = 28, w1 = 7163.338, w2 = 7012.246, dw = -0.09157, nw = 1651 150930.0027.ec.fits: ap = 29, w1 = 7074.91, w2 = 6925.685, dw = -0.09044, nw = 1651 150930.0027.ec.fits: ap = 30, w1 = 6988.639, w2 = 6841.236, dw = -0.08934, nw = 1651 150930.0027.ec.fits: ap = 31, w1 = 6904.447, w2 = 6758.822, dw = -0.08826, nw = 1651 150930.0027.ec.fits: ap = 32, w1 = 6822.259, w2 = 6678.369, dw = -0.08721, nw = 1651 150930.0027.ec.fits: ap = 33, w1 = 6742.005, w2 = 6599.81, dw = -0.08618, nw = 1651 150930.0027.ec.fits: ap = 34, w1 = 6663.617, w2 = 6523.078, dw = -0.08518, nw = 1651 150930.0027.ec.fits: ap = 35, w1 = 6587.032, w2 = 6448.11, dw = -0.08419, nw = 1651 150930.0027.ec.fits: ap = 36, w1 = 6512.187, w2 = 6374.846, dw = -0.08324, nw = 1651 150930.0027.ec.fits: ap = 37, w1 = 6439.024, w2 = 6303.228, dw = -0.0823, nw = 1651 150930.0027.ec.fits: ap = 38, w1 = 6367.487, w2 = 6233.202, dw = -0.08139, nw = 1651 150930.0027.ec.fits: ap = 39, w1 = 6297.523, w2 = 6164.715, dw = -0.08049, nw = 1651 150930.0027.ec.fits: ap = 40, w1 = 6229.079, w2 = 6097.717, dw = -0.07961, nw = 1651 150930.0027.ec.fits: ap = 41, w1 = 6162.108, w2 = 6032.16, dw = -0.07876, nw = 1651 150930.0027.ec.fits: ap = 42, w1 = 6096.561, w2 = 5967.997, dw = -0.07792, nw = 1651 150930.0027.ec.fits: ap = 43, w1 = 6032.395, w2 = 5905.186, dw = -0.0771, nw = 1651 150930.0027.ec.fits: ap = 44, w1 = 5969.565, w2 = 5843.683, dw = -0.07629, nw = 1651 150930.0027.ec.fits: ap = 45, w1 = 5908.031, w2 = 5783.449, dw = -0.0755, nw = 1651 150930.0027.ec.fits: ap = 46, w1 = 5847.753, w2 = 5724.444, dw = -0.07473, nw = 1651 150930.0027.ec.fits: ap = 47, w1 = 5788.693, w2 = 5666.631, dw = -0.07398, nw = 1651 150930.0027.ec.fits: ap = 48, w1 = 5730.814, w2 = 5609.974, dw = -0.07324, nw = 1651 150930.0027.ec.fits: ap = 49, w1 = 5674.081, w2 = 5554.44, dw = -0.07251, nw = 1651 150930.0027.ec.fits: ap = 50, w1 = 5618.461, w2 = 5499.994, dw = -0.0718, nw = 1651 150930.0027.ec.fits: ap = 51, w1 = 5563.921, w2 = 5446.606, dw = -0.0711, nw = 1651 150930.0027.ec.fits: ap = 52, w1 = 5510.43, w2 = 5394.245, dw = -0.07042, nw = 1651 150930.0027.ec.fits: ap = 53, w1 = 5457.957, w2 = 5342.881, dw = -0.06974, nw = 1651 150930.0027.ec.fits: ap = 54, w1 = 5406.475, w2 = 5292.486, dw = -0.06908, nw = 1651 150930.0027.ec.fits: ap = 55, w1 = 5355.956, w2 = 5243.033, dw = -0.06844, nw = 1651 150930.0027.ec.fits: ap = 56, w1 = 5306.372, w2 = 5194.497, dw = -0.0678, nw = 1651 150930.0027.ec.fits: ap = 57, w1 = 5257.698, w2 = 5146.851, dw = -0.06718, nw = 1651 150930.0027.ec.fits: ap = 58, w1 = 5209.909, w2 = 5100.071, dw = -0.06657, nw = 1651 150930.0027.ec.fits: ap = 59, w1 = 5162.981, w2 = 5054.135, dw = -0.06597, nw = 1651 150930.0027.ec.fits: ap = 60, w1 = 5116.891, w2 = 5009.018, dw = -0.06538, nw = 1651 150930.0027.ec.fits: ap = 61, w1 = 5071.617, w2 = 4964.701, dw = -0.0648, nw = 1651 150930.0027.ec.fits: ap = 62, w1 = 5027.137, w2 = 4921.161, dw = -0.06423, nw = 1651 150930.0027.ec.fits: ap = 63, w1 = 4983.431, w2 = 4878.378, dw = -0.06367, nw = 1651 150930.0027.ec.fits: ap = 64, w1 = 4940.478, w2 = 4836.333, dw = -0.06312, nw = 1651 150930.0027.ec.fits: ap = 65, w1 = 4898.26, w2 = 4795.006, dw = -0.06258, nw = 1651 150930.0027.ec.fits: ap = 66, w1 = 4856.757, w2 = 4754.381, dw = -0.06205, nw = 1651 150930.0027.ec.fits: ap = 67, w1 = 4815.952, w2 = 4714.438, dw = -0.06152, nw = 1651 150930.0027.ec.fits: ap = 68, w1 = 4775.826, w2 = 4675.16, dw = -0.06101, nw = 1651 150930.0027.ec.fits: ap = 69, w1 = 4736.364, w2 = 4636.532, dw = -0.0605, nw = 1651 150930.0027.ec.fits: ap = 70, w1 = 4697.549, w2 = 4598.538, dw = -0.06001, nw = 1651 150930.0027.ec.fits: ap = 71, w1 = 4659.365, w2 = 4561.161, dw = -0.05952, nw = 1651 150930.0027.ec.fits: ap = 72, w1 = 4621.797, w2 = 4524.387, dw = -0.05904, nw = 1651 150930.0027.ec.fits: ap = 73, w1 = 4584.83, w2 = 4488.201, dw = -0.05856, nw = 1651 150930.0027.ec.fits: ap = 74, w1 = 4548.449, w2 = 4452.59, dw = -0.0581, nw = 1651 150930.0027.ec.fits: ap = 75, w1 = 4512.641, w2 = 4417.539, dw = -0.05764, nw = 1651 150930.0027.ec.fits: ap = 76, w1 = 4477.393, w2 = 4383.036, dw = -0.05719, nw = 1651 150930.0027.ec.fits: ap = 77, w1 = 4442.691, w2 = 4349.068, dw = -0.05674, nw = 1651 150930.0027.ec.fits: ap = 78, w1 = 4408.523, w2 = 4315.623, dw = -0.0563, nw = 1651 150930.0027.ec.fits: ap = 79, w1 = 4374.876, w2 = 4282.688, dw = -0.05587, nw = 1651 150930.0027.ec.fits: ap = 80, w1 = 4341.739, w2 = 4250.252, dw = -0.05545, nw = 1651 150930.0027.ec.fits: ap = 81, w1 = 4309.1, w2 = 4218.303, dw = -0.05503, nw = 1651 150930.0027.ec.fits: ap = 82, w1 = 4276.948, w2 = 4186.832, dw = -0.05462, nw = 1651 150930.0027.ec.fits: ap = 83, w1 = 4245.272, w2 = 4155.826, dw = -0.05421, nw = 1651 150930.0027.ec.fits: ap = 84, w1 = 4214.061, w2 = 4125.277, dw = -0.05381, nw = 1651 150930.0027.ec.fits: ap = 85, w1 = 4183.306, w2 = 4095.173, dw = -0.05341, nw = 1651 150930.0027.ec.fits: ap = 86, w1 = 4152.996, w2 = 4065.505, dw = -0.05302, nw = 1651 150930.0027.ec.fits: ap = 87, w1 = 4123.123, w2 = 4036.264, dw = -0.05264, nw = 1651 150930.0027.ec.fits: ap = 88, w1 = 4093.675, w2 = 4007.441, dw = -0.05226, nw = 1651 150930.0027.ec.fits: ap = 89, w1 = 4064.645, w2 = 3979.026, dw = -0.05189, nw = 1651 150930.0027.ec.fits: ap = 90, w1 = 4036.024, w2 = 3951.011, dw = -0.05152, nw = 1651 150930.0027.ec.fits: ap = 91, w1 = 4007.802, w2 = 3923.388, dw = -0.05116, nw = 1651 150930.0027.ec.fits: ap = 92, w1 = 3979.972, w2 = 3896.148, dw = -0.0508, nw = 1651 150930.0027.ec.fits: ap = 93, w1 = 3952.525, w2 = 3869.284, dw = -0.05045, nw = 1651 150930.0027.ec.fits: ap = 94, w1 = 3925.454, w2 = 3842.787, dw = -0.0501, nw = 1651 150930.0027.ec.fits: ap = 95, w1 = 3898.751, w2 = 3816.651, dw = -0.04976, nw = 1651 150930.0027.ec.fits: ap = 96, w1 = 3872.408, w2 = 3790.868, dw = -0.04942, nw = 1651 150930.0027.ec.fits: ap = 97, w1 = 3846.419, w2 = 3765.43, dw = -0.04908, nw = 1651 150930.0027.ec.fits: ap = 98, w1 = 3820.775, w2 = 3740.331, dw = -0.04875, nw = 1651 150930.0027.ec.fits: ap = 99, w1 = 3795.471, w2 = 3715.564, dw = -0.04843, nw = 1651 150930.0027.ec.fits: ap = 100, w1 = 3770.499, w2 = 3691.123, dw = -0.04811, nw = 1651 150930.0027.ec.fits: ap = 101, w1 = 3745.852, w2 = 3667.001, dw = -0.04779, nw = 1651 150930.0027.ec.fits: ap = 102, w1 = 3721.526, w2 = 3643.192, dw = -0.04748, nw = 1651 150930.0027.ec.fits: ap = 103, w1 = 3697.512, w2 = 3619.689, dw = -0.04717, nw = 1651 150930.0027.ec.fits: ap = 104, w1 = 3673.806, w2 = 3596.488, dw = -0.04686, nw = 1651 150930.0027.ec.fits: ap = 105, w1 = 3650.401, w2 = 3573.581, dw = -0.04656, nw = 1651 150930.0027.ec.fits: ap = 106, w1 = 3627.292, w2 = 3550.964, dw = -0.04626, nw = 1651 150930.0027.ec.fits: ap = 107, w1 = 3604.472, w2 = 3528.632, dw = -0.04596, nw = 1651 150930.0027.ec.fits: ap = 108, w1 = 3581.937, w2 = 3506.577, dw = -0.04567, nw = 1651 150930.0027.ec.fits: ap = 109, w1 = 3559.682, w2 = 3484.797, dw = -0.04539, nw = 1651 150930.0027.ec.fits: ap = 110, w1 = 3537.7, w2 = 3463.284, dw = -0.0451, nw = 1651 150930.0027.ec.fits: ap = 111, w1 = 3515.988, w2 = 3442.035, dw = -0.04482, nw = 1651 150930.0027.ec.fits: ap = 112, w1 = 3494.539, w2 = 3421.045, dw = -0.04454, nw = 1651 150930.0027.ec.fits: ap = 113, w1 = 3473.349, w2 = 3400.308, dw = -0.04427, nw = 1651 150930.0027.ec.fits: ap = 114, w1 = 3452.414, w2 = 3379.821, dw = -0.044, nw = 1651 150930.0027.ec.fits: ap = 115, w1 = 3431.729, w2 = 3359.578, dw = -0.04373, nw = 1651 EchelleThAr.0012.ec.fits: REFSPEC1 = 'EchelleThAr.0012.ec 1.' zEchelleThAr.0012.ec.fits: ap = 1, w1 = 10812.1, w2 = 10583.97, dw = -0.13826, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 2, w1 = 10611.91, w2 = 10388., dw = -0.1357, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 3, w1 = 10418.99, w2 = 10199.16, dw = -0.13323, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 4, w1 = 10232.96, w2 = 10017.05, dw = -0.13085, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 5, w1 = 10053.46, w2 = 9841.341, dw = -0.12855, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 6, w1 = 9880.141, w2 = 9671.685, dw = -0.12634, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 7, w1 = 9712.702, w2 = 9507.78, dw = -0.12419, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 8, w1 = 9550.842, w2 = 9349.338, dw = -0.12212, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 9, w1 = 9394.289, w2 = 9196.09, dw = -0.12012, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 10, w1 = 9242.785, w2 = 9047.784, dw = -0.11818, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 11, w1 = 9096.09, w2 = 8904.187, dw = -0.11631, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 12, w1 = 8953.979, w2 = 8765.076, dw = -0.11449, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 13, w1 = 8816.24, w2 = 8630.245, dw = -0.11272, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 14, w1 = 8682.674, w2 = 8499.499, dw = -0.11102, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 15, w1 = 8553.095, w2 = 8372.656, dw = -0.10936, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 16, w1 = 8427.327, w2 = 8249.544, dw = -0.10775, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 17, w1 = 8305.204, w2 = 8129.999, dw = -0.10618, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 18, w1 = 8186.569, w2 = 8013.87, dw = -0.10467, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 19, w1 = 8071.277, w2 = 7901.011, dw = -0.10319, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 20, w1 = 7959.186, w2 = 7791.288, dw = -0.10176, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 21, w1 = 7850.166, w2 = 7684.57, dw = -0.10036, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 22, w1 = 7744.093, w2 = 7580.737, dw = -0.099, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 23, w1 = 7640.848, w2 = 7479.672, dw = -0.09768, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 24, w1 = 7540.32, w2 = 7381.266, dw = -0.0964, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 25, w1 = 7442.403, w2 = 7285.417, dw = -0.09514, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 26, w1 = 7346.996, w2 = 7192.025, dw = -0.09392, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 27, w1 = 7254.005, w2 = 7100.998, dw = -0.09273, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 28, w1 = 7163.338, w2 = 7012.246, dw = -0.09157, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 29, w1 = 7074.91, w2 = 6925.685, dw = -0.09044, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 30, w1 = 6988.639, w2 = 6841.236, dw = -0.08934, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 31, w1 = 6904.447, w2 = 6758.822, dw = -0.08826, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 32, w1 = 6822.259, w2 = 6678.369, dw = -0.08721, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 33, w1 = 6742.005, w2 = 6599.81, dw = -0.08618, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 34, w1 = 6663.617, w2 = 6523.078, dw = -0.08518, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 35, w1 = 6587.032, w2 = 6448.11, dw = -0.08419, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 36, w1 = 6512.187, w2 = 6374.846, dw = -0.08324, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 37, w1 = 6439.024, w2 = 6303.228, dw = -0.0823, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 38, w1 = 6367.487, w2 = 6233.202, dw = -0.08139, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 39, w1 = 6297.523, w2 = 6164.715, dw = -0.08049, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 40, w1 = 6229.079, w2 = 6097.717, dw = -0.07961, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 41, w1 = 6162.108, w2 = 6032.16, dw = -0.07876, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 42, w1 = 6096.561, w2 = 5967.997, dw = -0.07792, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 43, w1 = 6032.395, w2 = 5905.186, dw = -0.0771, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 44, w1 = 5969.565, w2 = 5843.683, dw = -0.07629, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 45, w1 = 5908.031, w2 = 5783.449, dw = -0.0755, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 46, w1 = 5847.753, w2 = 5724.444, dw = -0.07473, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 47, w1 = 5788.693, w2 = 5666.631, dw = -0.07398, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 48, w1 = 5730.814, w2 = 5609.974, dw = -0.07324, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 49, w1 = 5674.081, w2 = 5554.44, dw = -0.07251, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 50, w1 = 5618.461, w2 = 5499.994, dw = -0.0718, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 51, w1 = 5563.921, w2 = 5446.606, dw = -0.0711, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 52, w1 = 5510.43, w2 = 5394.245, dw = -0.07042, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 53, w1 = 5457.957, w2 = 5342.881, dw = -0.06974, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 54, w1 = 5406.475, w2 = 5292.486, dw = -0.06908, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 55, w1 = 5355.956, w2 = 5243.033, dw = -0.06844, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 56, w1 = 5306.372, w2 = 5194.497, dw = -0.0678, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 57, w1 = 5257.698, w2 = 5146.851, dw = -0.06718, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 58, w1 = 5209.909, w2 = 5100.071, dw = -0.06657, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 59, w1 = 5162.981, w2 = 5054.135, dw = -0.06597, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 60, w1 = 5116.891, w2 = 5009.018, dw = -0.06538, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 61, w1 = 5071.617, w2 = 4964.701, dw = -0.0648, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 62, w1 = 5027.137, w2 = 4921.161, dw = -0.06423, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 63, w1 = 4983.431, w2 = 4878.378, dw = -0.06367, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 64, w1 = 4940.478, w2 = 4836.333, dw = -0.06312, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 65, w1 = 4898.26, w2 = 4795.006, dw = -0.06258, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 66, w1 = 4856.757, w2 = 4754.381, dw = -0.06205, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 67, w1 = 4815.952, w2 = 4714.438, dw = -0.06152, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 68, w1 = 4775.826, w2 = 4675.16, dw = -0.06101, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 69, w1 = 4736.364, w2 = 4636.532, dw = -0.0605, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 70, w1 = 4697.549, w2 = 4598.538, dw = -0.06001, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 71, w1 = 4659.365, w2 = 4561.161, dw = -0.05952, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 72, w1 = 4621.797, w2 = 4524.387, dw = -0.05904, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 73, w1 = 4584.83, w2 = 4488.201, dw = -0.05856, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 74, w1 = 4548.449, w2 = 4452.59, dw = -0.0581, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 75, w1 = 4512.641, w2 = 4417.539, dw = -0.05764, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 76, w1 = 4477.393, w2 = 4383.036, dw = -0.05719, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 77, w1 = 4442.691, w2 = 4349.068, dw = -0.05674, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 78, w1 = 4408.523, w2 = 4315.623, dw = -0.0563, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 79, w1 = 4374.876, w2 = 4282.688, dw = -0.05587, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 80, w1 = 4341.739, w2 = 4250.252, dw = -0.05545, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 81, w1 = 4309.1, w2 = 4218.303, dw = -0.05503, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 82, w1 = 4276.948, w2 = 4186.832, dw = -0.05462, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 83, w1 = 4245.272, w2 = 4155.826, dw = -0.05421, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 84, w1 = 4214.061, w2 = 4125.277, dw = -0.05381, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 85, w1 = 4183.306, w2 = 4095.173, dw = -0.05341, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 86, w1 = 4152.996, w2 = 4065.505, dw = -0.05302, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 87, w1 = 4123.123, w2 = 4036.264, dw = -0.05264, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 88, w1 = 4093.675, w2 = 4007.441, dw = -0.05226, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 89, w1 = 4064.645, w2 = 3979.026, dw = -0.05189, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 90, w1 = 4036.024, w2 = 3951.011, dw = -0.05152, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 91, w1 = 4007.802, w2 = 3923.388, dw = -0.05116, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 92, w1 = 3979.972, w2 = 3896.148, dw = -0.0508, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 93, w1 = 3952.525, w2 = 3869.284, dw = -0.05045, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 94, w1 = 3925.454, w2 = 3842.787, dw = -0.0501, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 95, w1 = 3898.751, w2 = 3816.651, dw = -0.04976, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 96, w1 = 3872.408, w2 = 3790.868, dw = -0.04942, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 97, w1 = 3846.419, w2 = 3765.43, dw = -0.04908, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 98, w1 = 3820.775, w2 = 3740.331, dw = -0.04875, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 99, w1 = 3795.471, w2 = 3715.564, dw = -0.04843, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 100, w1 = 3770.499, w2 = 3691.123, dw = -0.04811, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 101, w1 = 3745.852, w2 = 3667.001, dw = -0.04779, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 102, w1 = 3721.526, w2 = 3643.192, dw = -0.04748, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 103, w1 = 3697.512, w2 = 3619.689, dw = -0.04717, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 104, w1 = 3673.806, w2 = 3596.488, dw = -0.04686, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 105, w1 = 3650.401, w2 = 3573.581, dw = -0.04656, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 106, w1 = 3627.292, w2 = 3550.964, dw = -0.04626, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 107, w1 = 3604.472, w2 = 3528.632, dw = -0.04596, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 108, w1 = 3581.937, w2 = 3506.577, dw = -0.04567, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 109, w1 = 3559.682, w2 = 3484.797, dw = -0.04539, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 110, w1 = 3537.7, w2 = 3463.284, dw = -0.0451, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 111, w1 = 3515.988, w2 = 3442.035, dw = -0.04482, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 112, w1 = 3494.539, w2 = 3421.045, dw = -0.04454, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 113, w1 = 3473.349, w2 = 3400.308, dw = -0.04427, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 114, w1 = 3452.414, w2 = 3379.821, dw = -0.044, nw = 1651 zEchelleThAr.0012.ec.fits: ap = 115, w1 = 3431.729, w2 = 3359.578, dw = -0.04373, nw = 1651 EchelleThAr.0017.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' zEchelleThAr.0017.ec.fits: ap = 1, w1 = 10812.23, w2 = 10584.03, dw = -0.1383, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 2, w1 = 10612.02, w2 = 10388.05, dw = -0.13574, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 3, w1 = 10419.09, w2 = 10199.2, dw = -0.13326, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 4, w1 = 10233.05, w2 = 10017.09, dw = -0.13088, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 5, w1 = 10053.53, w2 = 9841.375, dw = -0.12858, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 6, w1 = 9880.208, w2 = 9671.715, dw = -0.12636, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 7, w1 = 9712.759, w2 = 9507.806, dw = -0.12421, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 8, w1 = 9550.892, w2 = 9349.359, dw = -0.12214, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 9, w1 = 9394.332, w2 = 9196.108, dw = -0.12014, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 10, w1 = 9242.822, w2 = 9047.799, dw = -0.1182, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 11, w1 = 9096.122, w2 = 8904.199, dw = -0.11632, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 12, w1 = 8954.007, w2 = 8765.086, dw = -0.1145, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 13, w1 = 8816.264, w2 = 8630.253, dw = -0.11273, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 14, w1 = 8682.695, w2 = 8499.505, dw = -0.11102, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 15, w1 = 8553.113, w2 = 8372.66, dw = -0.10937, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 16, w1 = 8427.343, w2 = 8249.546, dw = -0.10776, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 17, w1 = 8305.218, w2 = 8130., dw = -0.10619, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 18, w1 = 8186.583, w2 = 8013.87, dw = -0.10467, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 19, w1 = 8071.289, w2 = 7901.011, dw = -0.1032, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 20, w1 = 7959.198, w2 = 7791.286, dw = -0.10176, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 21, w1 = 7850.177, w2 = 7684.568, dw = -0.10037, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 22, w1 = 7744.104, w2 = 7580.734, dw = -0.09901, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 23, w1 = 7640.859, w2 = 7479.669, dw = -0.09769, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 24, w1 = 7540.331, w2 = 7381.263, dw = -0.0964, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 25, w1 = 7442.414, w2 = 7285.413, dw = -0.09515, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 26, w1 = 7347.008, w2 = 7192.021, dw = -0.09393, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 27, w1 = 7254.017, w2 = 7100.994, dw = -0.09274, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 28, w1 = 7163.351, w2 = 7012.242, dw = -0.09158, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 29, w1 = 7074.923, w2 = 6925.681, dw = -0.09045, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 30, w1 = 6988.653, w2 = 6841.232, dw = -0.08935, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 31, w1 = 6904.461, w2 = 6758.818, dw = -0.08827, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 32, w1 = 6822.274, w2 = 6678.366, dw = -0.08722, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 33, w1 = 6742.02, w2 = 6599.807, dw = -0.08619, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 34, w1 = 6663.633, w2 = 6523.075, dw = -0.08519, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 35, w1 = 6587.048, w2 = 6448.108, dw = -0.08421, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 36, w1 = 6512.204, w2 = 6374.844, dw = -0.08325, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 37, w1 = 6439.041, w2 = 6303.226, dw = -0.08231, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 38, w1 = 6367.505, w2 = 6233.2, dw = -0.0814, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 39, w1 = 6297.54, w2 = 6164.714, dw = -0.0805, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 40, w1 = 6229.097, w2 = 6097.716, dw = -0.07963, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 41, w1 = 6162.126, w2 = 6032.159, dw = -0.07877, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 42, w1 = 6096.579, w2 = 5967.997, dw = -0.07793, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 43, w1 = 6032.413, w2 = 5905.186, dw = -0.07711, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 44, w1 = 5969.583, w2 = 5843.684, dw = -0.0763, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 45, w1 = 5908.049, w2 = 5783.449, dw = -0.07551, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 46, w1 = 5847.771, w2 = 5724.445, dw = -0.07474, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 47, w1 = 5788.71, w2 = 5666.632, dw = -0.07399, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 48, w1 = 5730.831, w2 = 5609.976, dw = -0.07325, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 49, w1 = 5674.098, w2 = 5554.441, dw = -0.07252, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 50, w1 = 5618.477, w2 = 5499.996, dw = -0.07181, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 51, w1 = 5563.936, w2 = 5446.608, dw = -0.07111, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 52, w1 = 5510.445, w2 = 5394.247, dw = -0.07042, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 53, w1 = 5457.972, w2 = 5342.883, dw = -0.06975, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 54, w1 = 5406.489, w2 = 5292.489, dw = -0.06909, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 55, w1 = 5355.969, w2 = 5243.036, dw = -0.06844, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 56, w1 = 5306.384, w2 = 5194.5, dw = -0.06781, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 57, w1 = 5257.709, w2 = 5146.854, dw = -0.06719, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 58, w1 = 5209.92, w2 = 5100.074, dw = -0.06657, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 59, w1 = 5162.991, w2 = 5054.138, dw = -0.06597, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 60, w1 = 5116.9, w2 = 5009.022, dw = -0.06538, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 61, w1 = 5071.626, w2 = 4964.704, dw = -0.0648, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 62, w1 = 5027.145, w2 = 4921.164, dw = -0.06423, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 63, w1 = 4983.438, w2 = 4878.381, dw = -0.06367, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 64, w1 = 4940.485, w2 = 4836.336, dw = -0.06312, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 65, w1 = 4898.266, w2 = 4795.01, dw = -0.06258, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 66, w1 = 4856.763, w2 = 4754.384, dw = -0.06205, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 67, w1 = 4815.957, w2 = 4714.441, dw = -0.06153, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 68, w1 = 4775.832, w2 = 4675.164, dw = -0.06101, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 69, w1 = 4736.37, w2 = 4636.536, dw = -0.06051, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 70, w1 = 4697.555, w2 = 4598.541, dw = -0.06001, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 71, w1 = 4659.371, w2 = 4561.164, dw = -0.05952, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 72, w1 = 4621.803, w2 = 4524.39, dw = -0.05904, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 73, w1 = 4584.836, w2 = 4488.204, dw = -0.05856, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 74, w1 = 4548.456, w2 = 4452.593, dw = -0.0581, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 75, w1 = 4512.649, w2 = 4417.542, dw = -0.05764, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 76, w1 = 4477.401, w2 = 4383.039, dw = -0.05719, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 77, w1 = 4442.7, w2 = 4349.071, dw = -0.05674, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 78, w1 = 4408.533, w2 = 4315.626, dw = -0.05631, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 79, w1 = 4374.888, w2 = 4282.691, dw = -0.05588, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 80, w1 = 4341.753, w2 = 4250.255, dw = -0.05545, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 81, w1 = 4309.116, w2 = 4218.306, dw = -0.05504, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 82, w1 = 4276.966, w2 = 4186.835, dw = -0.05463, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 83, w1 = 4245.292, w2 = 4155.829, dw = -0.05422, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 84, w1 = 4214.085, w2 = 4125.279, dw = -0.05382, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 85, w1 = 4183.333, w2 = 4095.176, dw = -0.05343, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 86, w1 = 4153.027, w2 = 4065.508, dw = -0.05304, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 87, w1 = 4123.157, w2 = 4036.267, dw = -0.05266, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 88, w1 = 4093.714, w2 = 4007.444, dw = -0.05228, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 89, w1 = 4064.688, w2 = 3979.029, dw = -0.05191, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 90, w1 = 4036.072, w2 = 3951.015, dw = -0.05155, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 91, w1 = 4007.855, w2 = 3923.392, dw = -0.05119, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 92, w1 = 3980.031, w2 = 3896.152, dw = -0.05084, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 93, w1 = 3952.591, w2 = 3869.288, dw = -0.05049, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 94, w1 = 3925.526, w2 = 3842.792, dw = -0.05014, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 95, w1 = 3898.83, w2 = 3816.656, dw = -0.0498, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 96, w1 = 3872.495, w2 = 3790.873, dw = -0.04947, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 97, w1 = 3846.514, w2 = 3765.436, dw = -0.04914, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 98, w1 = 3820.879, w2 = 3740.337, dw = -0.04881, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 99, w1 = 3795.583, w2 = 3715.571, dw = -0.04849, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 100, w1 = 3770.621, w2 = 3691.13, dw = -0.04818, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 101, w1 = 3745.985, w2 = 3667.009, dw = -0.04786, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 102, w1 = 3721.669, w2 = 3643.2, dw = -0.04756, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 103, w1 = 3697.666, w2 = 3619.699, dw = -0.04725, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 104, w1 = 3673.972, w2 = 3596.498, dw = -0.04695, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 105, w1 = 3650.58, w2 = 3573.593, dw = -0.04666, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 106, w1 = 3627.484, w2 = 3550.977, dw = -0.04637, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 107, w1 = 3604.678, w2 = 3528.645, dw = -0.04608, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 108, w1 = 3582.158, w2 = 3506.592, dw = -0.0458, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 109, w1 = 3559.917, w2 = 3484.812, dw = -0.04552, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 110, w1 = 3537.952, w2 = 3463.301, dw = -0.04524, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 111, w1 = 3516.256, w2 = 3442.054, dw = -0.04497, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 112, w1 = 3494.824, w2 = 3421.065, dw = -0.0447, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 113, w1 = 3473.653, w2 = 3400.33, dw = -0.04444, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 114, w1 = 3452.736, w2 = 3379.844, dw = -0.04418, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 115, w1 = 3432.071, w2 = 3359.603, dw = -0.04392, nw = 1651 EchelleThAr.0025.ec.fits: REFSPEC1 = 'EchelleThAr.0025.ec 1.' zEchelleThAr.0025.ec.fits: ap = 1, w1 = 10812.21, w2 = 10584.02, dw = -0.13829, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 2, w1 = 10611.99, w2 = 10388.04, dw = -0.13573, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 3, w1 = 10419.06, w2 = 10199.18, dw = -0.13326, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 4, w1 = 10233.02, w2 = 10017.07, dw = -0.13088, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 5, w1 = 10053.51, w2 = 9841.35, dw = -0.12858, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 6, w1 = 9880.182, w2 = 9671.688, dw = -0.12636, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 7, w1 = 9712.734, w2 = 9507.776, dw = -0.12422, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 8, w1 = 9550.867, w2 = 9349.328, dw = -0.12214, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 9, w1 = 9394.307, w2 = 9196.075, dw = -0.12014, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 10, w1 = 9242.798, w2 = 9047.766, dw = -0.1182, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 11, w1 = 9096.098, w2 = 8904.165, dw = -0.11632, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 12, w1 = 8953.983, w2 = 8765.051, dw = -0.1145, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 13, w1 = 8816.241, w2 = 8630.217, dw = -0.11274, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 14, w1 = 8682.672, w2 = 8499.469, dw = -0.11103, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 15, w1 = 8553.091, w2 = 8372.625, dw = -0.10937, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 16, w1 = 8427.321, w2 = 8249.51, dw = -0.10776, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 17, w1 = 8305.196, w2 = 8129.965, dw = -0.1062, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 18, w1 = 8186.561, w2 = 8013.835, dw = -0.10468, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 19, w1 = 8071.268, w2 = 7900.976, dw = -0.10321, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 20, w1 = 7959.177, w2 = 7791.252, dw = -0.10177, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 21, w1 = 7850.157, w2 = 7684.534, dw = -0.10038, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 22, w1 = 7744.084, w2 = 7580.701, dw = -0.09902, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 23, w1 = 7640.839, w2 = 7479.636, dw = -0.0977, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 24, w1 = 7540.311, w2 = 7381.231, dw = -0.09641, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 25, w1 = 7442.395, w2 = 7285.382, dw = -0.09516, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 26, w1 = 7346.989, w2 = 7191.991, dw = -0.09394, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 27, w1 = 7253.998, w2 = 7100.964, dw = -0.09275, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 28, w1 = 7163.332, w2 = 7012.213, dw = -0.09159, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 29, w1 = 7074.905, w2 = 6925.653, dw = -0.09046, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 30, w1 = 6988.635, w2 = 6841.204, dw = -0.08935, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 31, w1 = 6904.444, w2 = 6758.791, dw = -0.08827, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 32, w1 = 6822.257, w2 = 6678.34, dw = -0.08722, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 33, w1 = 6742.004, w2 = 6599.781, dw = -0.0862, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 34, w1 = 6663.617, w2 = 6523.05, dw = -0.08519, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 35, w1 = 6587.033, w2 = 6448.083, dw = -0.08421, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 36, w1 = 6512.189, w2 = 6374.819, dw = -0.08325, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 37, w1 = 6439.027, w2 = 6303.203, dw = -0.08232, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 38, w1 = 6367.49, w2 = 6233.177, dw = -0.0814, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 39, w1 = 6297.526, w2 = 6164.691, dw = -0.08051, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 40, w1 = 6229.083, w2 = 6097.694, dw = -0.07963, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 41, w1 = 6162.112, w2 = 6032.137, dw = -0.07877, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 42, w1 = 6096.566, w2 = 5967.975, dw = -0.07793, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 43, w1 = 6032.4, w2 = 5905.165, dw = -0.07711, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 44, w1 = 5969.571, w2 = 5843.663, dw = -0.07631, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 45, w1 = 5908.037, w2 = 5783.429, dw = -0.07552, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 46, w1 = 5847.759, w2 = 5724.424, dw = -0.07475, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 47, w1 = 5788.699, w2 = 5666.612, dw = -0.07399, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 48, w1 = 5730.82, w2 = 5609.955, dw = -0.07325, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 49, w1 = 5674.087, w2 = 5554.421, dw = -0.07252, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 50, w1 = 5618.467, w2 = 5499.976, dw = -0.07181, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 51, w1 = 5563.927, w2 = 5446.588, dw = -0.07111, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 52, w1 = 5510.435, w2 = 5394.227, dw = -0.07043, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 53, w1 = 5457.963, w2 = 5342.863, dw = -0.06976, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 54, w1 = 5406.48, w2 = 5292.469, dw = -0.0691, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 55, w1 = 5355.96, w2 = 5243.016, dw = -0.06845, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 56, w1 = 5306.376, w2 = 5194.48, dw = -0.06782, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 57, w1 = 5257.701, w2 = 5146.834, dw = -0.06719, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 58, w1 = 5209.912, w2 = 5100.054, dw = -0.06658, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 59, w1 = 5162.984, w2 = 5054.117, dw = -0.06598, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 60, w1 = 5116.893, w2 = 5009.001, dw = -0.06539, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 61, w1 = 5071.619, w2 = 4964.683, dw = -0.06481, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 62, w1 = 5027.138, w2 = 4921.143, dw = -0.06424, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 63, w1 = 4983.432, w2 = 4878.36, dw = -0.06368, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 64, w1 = 4940.479, w2 = 4836.315, dw = -0.06313, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 65, w1 = 4898.26, w2 = 4794.989, dw = -0.06259, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 66, w1 = 4856.757, w2 = 4754.363, dw = -0.06206, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 67, w1 = 4815.952, w2 = 4714.42, dw = -0.06153, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 68, w1 = 4775.826, w2 = 4675.143, dw = -0.06102, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 69, w1 = 4736.364, w2 = 4636.515, dw = -0.06051, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 70, w1 = 4697.549, w2 = 4598.52, dw = -0.06002, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 71, w1 = 4659.365, w2 = 4561.144, dw = -0.05953, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 72, w1 = 4621.797, w2 = 4524.37, dw = -0.05905, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 73, w1 = 4584.83, w2 = 4488.184, dw = -0.05857, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 74, w1 = 4548.45, w2 = 4452.573, dw = -0.05811, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 75, w1 = 4512.643, w2 = 4417.523, dw = -0.05765, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 76, w1 = 4477.396, w2 = 4383.021, dw = -0.0572, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 77, w1 = 4442.695, w2 = 4349.053, dw = -0.05675, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 78, w1 = 4408.528, w2 = 4315.608, dw = -0.05631, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 79, w1 = 4374.882, w2 = 4282.674, dw = -0.05588, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 80, w1 = 4341.747, w2 = 4250.239, dw = -0.05546, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 81, w1 = 4309.11, w2 = 4218.291, dw = -0.05504, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 82, w1 = 4276.959, w2 = 4186.82, dw = -0.05463, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 83, w1 = 4245.286, w2 = 4155.816, dw = -0.05422, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 84, w1 = 4214.078, w2 = 4125.267, dw = -0.05382, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 85, w1 = 4183.326, w2 = 4095.165, dw = -0.05343, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 86, w1 = 4153.019, w2 = 4065.499, dw = -0.05304, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 87, w1 = 4123.149, w2 = 4036.259, dw = -0.05266, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 88, w1 = 4093.705, w2 = 4007.438, dw = -0.05228, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 89, w1 = 4064.679, w2 = 3979.025, dw = -0.05191, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 90, w1 = 4036.062, w2 = 3951.012, dw = -0.05155, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 91, w1 = 4007.845, w2 = 3923.391, dw = -0.05118, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 92, w1 = 3980.02, w2 = 3896.154, dw = -0.05083, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 93, w1 = 3952.579, w2 = 3869.292, dw = -0.05048, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 94, w1 = 3925.514, w2 = 3842.799, dw = -0.05013, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 95, w1 = 3898.818, w2 = 3816.665, dw = -0.04979, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 96, w1 = 3872.482, w2 = 3790.885, dw = -0.04945, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 97, w1 = 3846.499, w2 = 3765.451, dw = -0.04912, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 98, w1 = 3820.863, w2 = 3740.356, dw = -0.04879, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 99, w1 = 3795.567, w2 = 3715.593, dw = -0.04847, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 100, w1 = 3770.603, w2 = 3691.156, dw = -0.04815, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 101, w1 = 3745.966, w2 = 3667.039, dw = -0.04783, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 102, w1 = 3721.649, w2 = 3643.234, dw = -0.04752, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 103, w1 = 3697.646, w2 = 3619.737, dw = -0.04722, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 104, w1 = 3673.95, w2 = 3596.541, dw = -0.04691, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 105, w1 = 3650.557, w2 = 3573.64, dw = -0.04662, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 106, w1 = 3627.459, w2 = 3551.029, dw = -0.04632, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 107, w1 = 3604.653, w2 = 3528.703, dw = -0.04603, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 108, w1 = 3582.131, w2 = 3506.655, dw = -0.04574, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 109, w1 = 3559.889, w2 = 3484.881, dw = -0.04546, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 110, w1 = 3537.922, w2 = 3463.376, dw = -0.04518, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 111, w1 = 3516.224, w2 = 3442.135, dw = -0.0449, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 112, w1 = 3494.791, w2 = 3421.152, dw = -0.04463, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 113, w1 = 3473.618, w2 = 3400.424, dw = -0.04436, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 114, w1 = 3452.7, w2 = 3379.945, dw = -0.04409, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 115, w1 = 3432.032, w2 = 3359.712, dw = -0.04383, nw = 1651 EchelleThAr.0028.ec.fits: REFSPEC1 = 'EchelleThAr.0028.ec 1.' zEchelleThAr.0028.ec.fits: ap = 1, w1 = 10812.17, w2 = 10583.98, dw = -0.1383, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 2, w1 = 10611.96, w2 = 10388., dw = -0.13573, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 3, w1 = 10419.03, w2 = 10199.15, dw = -0.13326, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 4, w1 = 10232.99, w2 = 10017.04, dw = -0.13088, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 5, w1 = 10053.48, w2 = 9841.324, dw = -0.12858, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 6, w1 = 9880.158, w2 = 9671.665, dw = -0.12636, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 7, w1 = 9712.711, w2 = 9507.756, dw = -0.12422, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 8, w1 = 9550.846, w2 = 9349.311, dw = -0.12214, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 9, w1 = 9394.288, w2 = 9196.06, dw = -0.12014, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 10, w1 = 9242.78, w2 = 9047.752, dw = -0.1182, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 11, w1 = 9096.081, w2 = 8904.152, dw = -0.11632, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 12, w1 = 8953.967, w2 = 8765.039, dw = -0.1145, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 13, w1 = 8816.225, w2 = 8630.206, dw = -0.11274, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 14, w1 = 8682.657, w2 = 8499.459, dw = -0.11103, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 15, w1 = 8553.076, w2 = 8372.615, dw = -0.10937, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 16, w1 = 8427.307, w2 = 8249.501, dw = -0.10776, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 17, w1 = 8305.182, w2 = 8129.956, dw = -0.1062, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 18, w1 = 8186.547, w2 = 8013.826, dw = -0.10468, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 19, w1 = 8071.254, w2 = 7900.967, dw = -0.1032, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 20, w1 = 7959.164, w2 = 7791.243, dw = -0.10177, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 21, w1 = 7850.144, w2 = 7684.525, dw = -0.10038, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 22, w1 = 7744.071, w2 = 7580.691, dw = -0.09902, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 23, w1 = 7640.826, w2 = 7479.626, dw = -0.0977, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 24, w1 = 7540.299, w2 = 7381.221, dw = -0.09641, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 25, w1 = 7442.382, w2 = 7285.371, dw = -0.09516, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 26, w1 = 7346.976, w2 = 7191.98, dw = -0.09394, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 27, w1 = 7253.986, w2 = 7100.952, dw = -0.09275, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 28, w1 = 7163.32, w2 = 7012.201, dw = -0.09159, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 29, w1 = 7074.894, w2 = 6925.641, dw = -0.09046, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 30, w1 = 6988.623, w2 = 6841.192, dw = -0.08935, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 31, w1 = 6904.432, w2 = 6758.778, dw = -0.08828, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 32, w1 = 6822.245, w2 = 6678.326, dw = -0.08722, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 33, w1 = 6741.993, w2 = 6599.768, dw = -0.0862, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 34, w1 = 6663.606, w2 = 6523.036, dw = -0.08519, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 35, w1 = 6587.022, w2 = 6448.068, dw = -0.08421, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 36, w1 = 6512.178, w2 = 6374.805, dw = -0.08326, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 37, w1 = 6439.016, w2 = 6303.188, dw = -0.08232, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 38, w1 = 6367.48, w2 = 6233.162, dw = -0.0814, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 39, w1 = 6297.517, w2 = 6164.676, dw = -0.08051, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 40, w1 = 6229.074, w2 = 6097.678, dw = -0.07963, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 41, w1 = 6162.103, w2 = 6032.121, dw = -0.07878, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 42, w1 = 6096.557, w2 = 5967.96, dw = -0.07794, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 43, w1 = 6032.391, w2 = 5905.149, dw = -0.07712, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 44, w1 = 5969.562, w2 = 5843.647, dw = -0.07631, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 45, w1 = 5908.029, w2 = 5783.413, dw = -0.07552, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 46, w1 = 5847.751, w2 = 5724.408, dw = -0.07475, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 47, w1 = 5788.691, w2 = 5666.596, dw = -0.074, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 48, w1 = 5730.813, w2 = 5609.94, dw = -0.07326, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 49, w1 = 5674.08, w2 = 5554.406, dw = -0.07253, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 50, w1 = 5618.46, w2 = 5499.961, dw = -0.07182, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 51, w1 = 5563.92, w2 = 5446.573, dw = -0.07112, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 52, w1 = 5510.429, w2 = 5394.212, dw = -0.07043, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 53, w1 = 5457.957, w2 = 5342.848, dw = -0.06976, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 54, w1 = 5406.474, w2 = 5292.454, dw = -0.0691, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 55, w1 = 5355.954, w2 = 5243.002, dw = -0.06846, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 56, w1 = 5306.37, w2 = 5194.466, dw = -0.06782, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 57, w1 = 5257.695, w2 = 5146.82, dw = -0.0672, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 58, w1 = 5209.906, w2 = 5100.041, dw = -0.06659, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 59, w1 = 5162.977, w2 = 5054.104, dw = -0.06598, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 60, w1 = 5116.887, w2 = 5008.988, dw = -0.06539, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 61, w1 = 5071.612, w2 = 4964.671, dw = -0.06481, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 62, w1 = 5027.132, w2 = 4921.131, dw = -0.06424, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 63, w1 = 4983.425, w2 = 4878.348, dw = -0.06368, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 64, w1 = 4940.472, w2 = 4836.303, dw = -0.06313, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 65, w1 = 4898.252, w2 = 4794.977, dw = -0.06259, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 66, w1 = 4856.749, w2 = 4754.352, dw = -0.06206, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 67, w1 = 4815.943, w2 = 4714.409, dw = -0.06154, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 68, w1 = 4775.817, w2 = 4675.132, dw = -0.06102, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 69, w1 = 4736.354, w2 = 4636.504, dw = -0.06052, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 70, w1 = 4697.538, w2 = 4598.509, dw = -0.06002, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 71, w1 = 4659.353, w2 = 4561.132, dw = -0.05953, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 72, w1 = 4621.783, w2 = 4524.358, dw = -0.05905, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 73, w1 = 4584.815, w2 = 4488.172, dw = -0.05857, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 74, w1 = 4548.434, w2 = 4452.561, dw = -0.0581, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 75, w1 = 4512.625, w2 = 4417.511, dw = -0.05765, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 76, w1 = 4477.376, w2 = 4383.008, dw = -0.05719, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 77, w1 = 4442.673, w2 = 4349.04, dw = -0.05675, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 78, w1 = 4408.504, w2 = 4315.594, dw = -0.05631, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 79, w1 = 4374.857, w2 = 4282.659, dw = -0.05588, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 80, w1 = 4341.719, w2 = 4250.223, dw = -0.05545, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 81, w1 = 4309.079, w2 = 4218.275, dw = -0.05503, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 82, w1 = 4276.926, w2 = 4186.803, dw = -0.05462, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 83, w1 = 4245.25, w2 = 4155.797, dw = -0.05421, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 84, w1 = 4214.039, w2 = 4125.248, dw = -0.05381, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 85, w1 = 4183.283, w2 = 4095.144, dw = -0.05342, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 86, w1 = 4152.973, w2 = 4065.476, dw = -0.05303, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 87, w1 = 4123.1, w2 = 4036.235, dw = -0.05265, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 88, w1 = 4093.652, w2 = 4007.412, dw = -0.05227, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 89, w1 = 4064.622, w2 = 3978.997, dw = -0.05189, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 90, w1 = 4036.001, w2 = 3950.982, dw = -0.05153, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 91, w1 = 4007.78, w2 = 3923.359, dw = -0.05116, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 92, w1 = 3979.95, w2 = 3896.119, dw = -0.05081, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 93, w1 = 3952.504, w2 = 3869.255, dw = -0.05045, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 94, w1 = 3925.434, w2 = 3842.758, dw = -0.05011, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 95, w1 = 3898.732, w2 = 3816.622, dw = -0.04976, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 96, w1 = 3872.39, w2 = 3790.838, dw = -0.04943, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 97, w1 = 3846.402, w2 = 3765.401, dw = -0.04909, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 98, w1 = 3820.76, w2 = 3740.302, dw = -0.04876, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 99, w1 = 3795.457, w2 = 3715.536, dw = -0.04844, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 100, w1 = 3770.487, w2 = 3691.095, dw = -0.04812, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 101, w1 = 3745.843, w2 = 3666.973, dw = -0.0478, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 102, w1 = 3721.518, w2 = 3643.164, dw = -0.04749, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 103, w1 = 3697.507, w2 = 3619.662, dw = -0.04718, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 104, w1 = 3673.804, w2 = 3596.46, dw = -0.04687, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 105, w1 = 3650.402, w2 = 3573.554, dw = -0.04657, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 106, w1 = 3627.296, w2 = 3550.938, dw = -0.04628, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 107, w1 = 3604.48, w2 = 3528.605, dw = -0.04598, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 108, w1 = 3581.949, w2 = 3506.552, dw = -0.0457, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 109, w1 = 3559.698, w2 = 3484.772, dw = -0.04541, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 110, w1 = 3537.721, w2 = 3463.26, dw = -0.04513, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 111, w1 = 3516.013, w2 = 3442.012, dw = -0.04485, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 112, w1 = 3494.569, w2 = 3421.022, dw = -0.04457, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 113, w1 = 3473.385, w2 = 3400.286, dw = -0.0443, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 114, w1 = 3452.455, w2 = 3379.8, dw = -0.04403, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 115, w1 = 3431.776, w2 = 3359.558, dw = -0.04377, nw = 1651 Continuum fitting the spectra... Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Combining spectra... Nov 10 14:32: SCOMBINE combine = sum blank = 0. 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0. 0.009 150930.0013.ec.fits[ 23] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 24] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 25] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 26] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 27] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 28] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 29] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 30] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 31] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 32] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 33] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 34] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 35] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 36] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 37] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 38] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 39] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 40] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 41] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 42] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 43] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 44] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 45] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 46] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 47] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 48] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 49] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 50] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 51] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 52] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 53] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 54] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 55] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 56] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 57] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 58] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 59] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 60] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 61] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 62] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 63] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 64] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 65] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 66] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 67] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 68] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 69] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 70] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 71] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 72] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 73] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 74] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 75] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 76] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 77] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 78] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 79] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 80] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 81] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 82] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 83] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 84] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 85] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 86] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 87] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 88] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 89] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 90] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 91] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 92] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 93] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 94] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 95] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 96] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 97] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 98] 60.0 1.000 0. 0.009 150930.0013.ec.fits[ 99] 60.0 1.000 0. 0.009 150930.0013.ec.fits[100] 60.0 1.000 0. 0.009 150930.0013.ec.fits[101] 60.0 1.000 0. 0.009 150930.0013.ec.fits[102] 60.0 1.000 0. 0.009 150930.0013.ec.fits[103] 60.0 1.000 0. 0.009 150930.0013.ec.fits[104] 60.0 1.000 0. 0.009 150930.0013.ec.fits[105] 60.0 1.000 0. 0.009 150930.0013.ec.fits[106] 60.0 1.000 0. 0.009 150930.0013.ec.fits[107] 60.0 1.000 0. 0.009 150930.0013.ec.fits[108] 60.0 1.000 0. 0.009 150930.0013.ec.fits[109] 60.0 1.000 0. 0.009 150930.0013.ec.fits[110] 60.0 1.000 0. 0.009 150930.0013.ec.fits[111] 60.0 1.000 0. 0.009 150930.0013.ec.fits[112] 60.0 1.000 0. 0.009 150930.0013.ec.fits[113] 60.0 1.000 0. 0.009 150930.0013.ec.fits[114] 60.0 1.000 0. 0.009 150930.0013.ec.fits[115] 60.0 1.000 0. 0.009 Output image = sum150930.0013.ec.fits, ncombine = 115, exptime = 6900.004 w1 = 3359.578, w2 = 10812.1, dw = 0.04372752, nw = 170432., dtype = 0 Nov 10 14:32: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 150930.0014.ec.fits[ 1] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 2] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 3] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 4] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 5] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 6] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 7] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 8] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 9] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 10] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 11] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 12] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 13] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 14] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 15] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 16] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 17] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 18] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 19] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 20] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 21] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 22] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 23] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 24] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 25] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 26] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 27] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 28] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 29] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 30] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 31] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 32] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 33] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 34] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 35] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 36] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 37] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 38] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 39] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 40] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 41] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 42] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 43] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 44] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 45] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 46] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 47] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 48] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 49] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 50] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 51] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 52] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 53] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 54] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 55] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 56] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 57] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 58] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 59] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 60] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 61] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 62] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 63] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 64] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 65] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 66] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 67] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 68] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 69] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 70] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 71] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 72] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 73] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 74] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 75] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 76] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 77] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 78] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 79] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 80] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 81] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 82] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 83] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 84] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 85] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 86] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 87] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 88] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 89] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 90] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 91] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 92] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 93] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 94] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 95] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 96] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 97] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 98] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[ 99] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[100] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[101] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[102] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[103] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[104] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[105] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[106] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[107] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[108] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[109] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[110] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[111] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[112] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[113] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[114] 1200.0 1.000 0. 0.009 150930.0014.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum150930.0014.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.578, w2 = 10812.1, dw = 0.04372752, nw = 170432., dtype = 0 Nov 10 14:33: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 150930.0015.ec.fits[ 1] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 2] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 3] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 4] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 5] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 6] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 7] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 8] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 9] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 10] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 11] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 12] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 13] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 14] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 15] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 16] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 17] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 18] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 19] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 20] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 21] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 22] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 23] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 24] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 25] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 26] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 27] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 28] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 29] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 30] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 31] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 32] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 33] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 34] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 35] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 36] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 37] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 38] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 39] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 40] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 41] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 42] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 43] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 44] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 45] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 46] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 47] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 48] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 49] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 50] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 51] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 52] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 53] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 54] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 55] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 56] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 57] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 58] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 59] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 60] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 61] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 62] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 63] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 64] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 65] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 66] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 67] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 68] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 69] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 70] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 71] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 72] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 73] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 74] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 75] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 76] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 77] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 78] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 79] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 80] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 81] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 82] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 83] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 84] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 85] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 86] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 87] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 88] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 89] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 90] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 91] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 92] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 93] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 94] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 95] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 96] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 97] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 98] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[ 99] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[100] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[101] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[102] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[103] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[104] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[105] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[106] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[107] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[108] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[109] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[110] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[111] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[112] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[113] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[114] 1500.0 1.000 0. 0.009 150930.0015.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum150930.0015.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.578, w2 = 10812.1, dw = 0.04372752, nw = 170432., dtype = 0 Nov 10 14:33: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 150930.0016.ec.fits[ 1] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 2] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 3] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 4] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 5] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 6] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 7] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 8] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 9] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 10] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 11] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 12] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 13] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 14] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 15] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 16] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 17] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 18] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 19] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 20] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 21] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 22] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 23] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 24] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 25] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 26] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 27] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 28] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 29] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 30] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 31] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 32] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 33] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 34] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 35] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 36] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 37] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 38] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 39] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 40] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 41] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 42] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 43] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 44] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 45] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 46] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 47] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 48] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 49] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 50] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 51] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 52] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 53] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 54] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 55] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 56] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 57] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 58] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 59] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 60] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 61] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 62] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 63] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 64] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 65] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 66] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 67] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 68] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 69] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 70] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 71] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 72] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 73] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 74] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 75] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 76] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 77] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 78] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 79] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 80] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 81] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 82] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 83] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 84] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 85] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 86] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 87] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 88] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 89] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 90] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 91] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 92] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 93] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 94] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 95] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 96] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 97] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 98] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[ 99] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[100] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[101] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[102] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[103] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[104] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[105] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[106] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[107] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[108] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[109] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[110] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[111] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[112] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[113] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[114] 1500.0 1.000 0. 0.009 150930.0016.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum150930.0016.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.578, w2 = 10812.1, dw = 0.04372752, nw = 170432., dtype = 0 Nov 10 14:34: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 150930.0018.ec.fits[ 1] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 2] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 3] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 4] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 5] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 6] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 7] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 8] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 9] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 10] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 11] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 12] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 13] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 14] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 15] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 16] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 17] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 18] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 19] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 20] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 21] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 22] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 23] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 24] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 25] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 26] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 27] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 28] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 29] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 30] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 31] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 32] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 33] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 34] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 35] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 36] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 37] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 38] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 39] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 40] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 41] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 42] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 43] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 44] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 45] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 46] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 47] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 48] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 49] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 50] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 51] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 52] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 53] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 54] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 55] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 56] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 57] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 58] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 59] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 60] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 61] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 62] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 63] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 64] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 65] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 66] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 67] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 68] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 69] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 70] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 71] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 72] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 73] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 74] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 75] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 76] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 77] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 78] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 79] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 80] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 81] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 82] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 83] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 84] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 85] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 86] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 87] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 88] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 89] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 90] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 91] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 92] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 93] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 94] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 95] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 96] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 97] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 98] 900.0 1.000 0. 0.009 150930.0018.ec.fits[ 99] 900.0 1.000 0. 0.009 150930.0018.ec.fits[100] 900.0 1.000 0. 0.009 150930.0018.ec.fits[101] 900.0 1.000 0. 0.009 150930.0018.ec.fits[102] 900.0 1.000 0. 0.009 150930.0018.ec.fits[103] 900.0 1.000 0. 0.009 150930.0018.ec.fits[104] 900.0 1.000 0. 0.009 150930.0018.ec.fits[105] 900.0 1.000 0. 0.009 150930.0018.ec.fits[106] 900.0 1.000 0. 0.009 150930.0018.ec.fits[107] 900.0 1.000 0. 0.009 150930.0018.ec.fits[108] 900.0 1.000 0. 0.009 150930.0018.ec.fits[109] 900.0 1.000 0. 0.009 150930.0018.ec.fits[110] 900.0 1.000 0. 0.009 150930.0018.ec.fits[111] 900.0 1.000 0. 0.009 150930.0018.ec.fits[112] 900.0 1.000 0. 0.009 150930.0018.ec.fits[113] 900.0 1.000 0. 0.009 150930.0018.ec.fits[114] 900.0 1.000 0. 0.009 150930.0018.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum150930.0018.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.578, w2 = 10812.1, dw = 0.04372752, nw = 170432., dtype = 0 Nov 10 14:35: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 150930.0021.ec.fits[ 1] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 2] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 3] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 4] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 5] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 6] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 7] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 8] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 9] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 10] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 11] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 12] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 13] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 14] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 15] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 16] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 17] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 18] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 19] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 20] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 21] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 22] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 23] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 24] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 25] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 26] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 27] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 28] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 29] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 30] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 31] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 32] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 33] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 34] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 35] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 36] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 37] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 38] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 39] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 40] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 41] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 42] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 43] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 44] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 45] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 46] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 47] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 48] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 49] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 50] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 51] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 52] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 53] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 54] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 55] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 56] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 57] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 58] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 59] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 60] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 61] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 62] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 63] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 64] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 65] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 66] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 67] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 68] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 69] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 70] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 71] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 72] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 73] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 74] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 75] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 76] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 77] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 78] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 79] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 80] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 81] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 82] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 83] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 84] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 85] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 86] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 87] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 88] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 89] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 90] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 91] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 92] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 93] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 94] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 95] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 96] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 97] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 98] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[ 99] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[100] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[101] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[102] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[103] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[104] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[105] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[106] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[107] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[108] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[109] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[110] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[111] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[112] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[113] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[114] 1200.0 1.000 0. 0.009 150930.0021.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum150930.0021.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.578, w2 = 10812.1, dw = 0.04372752, nw = 170432., dtype = 0 Nov 10 14:35: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 150930.0022.ec.fits[ 1] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 2] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 3] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 4] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 5] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 6] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 7] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 8] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 9] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 10] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 11] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 12] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 13] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 14] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 15] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 16] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 17] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 18] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 19] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 20] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 21] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 22] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 23] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 24] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 25] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 26] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 27] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 28] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 29] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 30] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 31] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 32] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 33] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 34] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 35] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 36] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 37] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 38] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 39] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 40] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 41] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 42] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 43] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 44] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 45] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 46] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 47] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 48] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 49] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 50] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 51] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 52] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 53] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 54] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 55] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 56] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 57] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 58] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 59] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 60] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 61] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 62] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 63] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 64] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 65] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 66] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 67] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 68] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 69] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 70] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 71] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 72] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 73] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 74] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 75] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 76] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 77] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 78] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 79] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 80] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 81] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 82] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 83] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 84] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 85] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 86] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 87] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 88] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 89] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 90] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 91] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 92] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 93] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 94] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 95] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 96] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 97] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 98] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[ 99] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[100] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[101] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[102] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[103] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[104] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[105] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[106] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[107] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[108] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[109] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[110] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[111] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[112] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[113] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[114] 1200.0 1.000 0. 0.009 150930.0022.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum150930.0022.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.578, w2 = 10812.1, dw = 0.04372752, nw = 170432., dtype = 0 Nov 10 14:36: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 150930.0023.ec.fits[ 1] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 2] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 3] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 4] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 5] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 6] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 7] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 8] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 9] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 10] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 11] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 12] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 13] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 14] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 15] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 16] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 17] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 18] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 19] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 20] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 21] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 22] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 23] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 24] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 25] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 26] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 27] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 28] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 29] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 30] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 31] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 32] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 33] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 34] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 35] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 36] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 37] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 38] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 39] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 40] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 41] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 42] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 43] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 44] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 45] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 46] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 47] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 48] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 49] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 50] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 51] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 52] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 53] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 54] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 55] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 56] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 57] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 58] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 59] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 60] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 61] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 62] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 63] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 64] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 65] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 66] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 67] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 68] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 69] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 70] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 71] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 72] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 73] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 74] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 75] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 76] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 77] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 78] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 79] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 80] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 81] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 82] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 83] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 84] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 85] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 86] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 87] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 88] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 89] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 90] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 91] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 92] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 93] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 94] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 95] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 96] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 97] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 98] 900.0 1.000 0. 0.009 150930.0023.ec.fits[ 99] 900.0 1.000 0. 0.009 150930.0023.ec.fits[100] 900.0 1.000 0. 0.009 150930.0023.ec.fits[101] 900.0 1.000 0. 0.009 150930.0023.ec.fits[102] 900.0 1.000 0. 0.009 150930.0023.ec.fits[103] 900.0 1.000 0. 0.009 150930.0023.ec.fits[104] 900.0 1.000 0. 0.009 150930.0023.ec.fits[105] 900.0 1.000 0. 0.009 150930.0023.ec.fits[106] 900.0 1.000 0. 0.009 150930.0023.ec.fits[107] 900.0 1.000 0. 0.009 150930.0023.ec.fits[108] 900.0 1.000 0. 0.009 150930.0023.ec.fits[109] 900.0 1.000 0. 0.009 150930.0023.ec.fits[110] 900.0 1.000 0. 0.009 150930.0023.ec.fits[111] 900.0 1.000 0. 0.009 150930.0023.ec.fits[112] 900.0 1.000 0. 0.009 150930.0023.ec.fits[113] 900.0 1.000 0. 0.009 150930.0023.ec.fits[114] 900.0 1.000 0. 0.009 150930.0023.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum150930.0023.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.578, w2 = 10812.1, dw = 0.04372752, nw = 170432., dtype = 0 Nov 10 14:36: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 150930.0024.ec.fits[ 1] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 2] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 3] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 4] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 5] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 6] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 7] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 8] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 9] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 10] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 11] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 12] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 13] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 14] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 15] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 16] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 17] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 18] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 19] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 20] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 21] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 22] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 23] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 24] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 25] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 26] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 27] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 28] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 29] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 30] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 31] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 32] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 33] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 34] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 35] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 36] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 37] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 38] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 39] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 40] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 41] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 42] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 43] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 44] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 45] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 46] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 47] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 48] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 49] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 50] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 51] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 52] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 53] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 54] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 55] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 56] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 57] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 58] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 59] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 60] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 61] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 62] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 63] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 64] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 65] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 66] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 67] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 68] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 69] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 70] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 71] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 72] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 73] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 74] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 75] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 76] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 77] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 78] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 79] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 80] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 81] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 82] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 83] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 84] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 85] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 86] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 87] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 88] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 89] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 90] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 91] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 92] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 93] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 94] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 95] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 96] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 97] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 98] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[ 99] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[100] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[101] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[102] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[103] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[104] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[105] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[106] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[107] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[108] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[109] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[110] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[111] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[112] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[113] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[114] 1200.0 1.000 0. 0.009 150930.0024.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum150930.0024.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.578, w2 = 10812.1, dw = 0.04372752, nw = 170432., dtype = 0 Nov 10 14:37: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 150930.0026.ec.fits[ 1] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 2] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 3] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 4] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 5] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 6] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 7] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 8] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 9] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 10] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 11] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 12] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 13] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 14] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 15] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 16] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 17] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 18] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 19] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 20] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 21] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 22] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 23] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 24] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 25] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 26] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 27] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 28] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 29] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 30] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 31] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 32] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 33] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 34] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 35] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 36] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 37] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 38] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 39] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 40] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 41] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 42] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 43] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 44] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 45] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 46] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 47] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 48] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 49] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 50] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 51] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 52] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 53] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 54] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 55] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 56] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 57] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 58] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 59] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 60] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 61] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 62] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 63] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 64] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 65] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 66] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 67] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 68] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 69] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 70] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 71] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 72] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 73] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 74] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 75] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 76] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 77] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 78] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 79] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 80] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 81] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 82] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 83] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 84] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 85] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 86] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 87] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 88] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 89] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 90] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 91] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 92] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 93] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 94] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 95] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 96] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 97] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 98] 60.0 1.000 0. 0.009 150930.0026.ec.fits[ 99] 60.0 1.000 0. 0.009 150930.0026.ec.fits[100] 60.0 1.000 0. 0.009 150930.0026.ec.fits[101] 60.0 1.000 0. 0.009 150930.0026.ec.fits[102] 60.0 1.000 0. 0.009 150930.0026.ec.fits[103] 60.0 1.000 0. 0.009 150930.0026.ec.fits[104] 60.0 1.000 0. 0.009 150930.0026.ec.fits[105] 60.0 1.000 0. 0.009 150930.0026.ec.fits[106] 60.0 1.000 0. 0.009 150930.0026.ec.fits[107] 60.0 1.000 0. 0.009 150930.0026.ec.fits[108] 60.0 1.000 0. 0.009 150930.0026.ec.fits[109] 60.0 1.000 0. 0.009 150930.0026.ec.fits[110] 60.0 1.000 0. 0.009 150930.0026.ec.fits[111] 60.0 1.000 0. 0.009 150930.0026.ec.fits[112] 60.0 1.000 0. 0.009 150930.0026.ec.fits[113] 60.0 1.000 0. 0.009 150930.0026.ec.fits[114] 60.0 1.000 0. 0.009 150930.0026.ec.fits[115] 60.0 1.000 0. 0.009 Output image = sum150930.0026.ec.fits, ncombine = 115, exptime = 6900.017 w1 = 3359.578, w2 = 10812.1, dw = 0.04372752, nw = 170432., dtype = 0 Nov 10 14:37: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 150930.0027.ec.fits[ 1] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 2] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 3] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 4] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 5] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 6] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 7] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 8] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 9] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 10] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 11] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 12] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 13] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 14] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 15] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 16] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 17] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 18] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 19] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 20] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 21] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 22] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 23] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 24] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 25] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 26] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 27] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 28] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 29] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 30] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 31] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 32] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 33] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 34] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 35] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 36] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 37] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 38] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 39] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 40] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 41] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 42] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 43] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 44] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 45] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 46] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 47] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 48] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 49] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 50] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 51] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 52] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 53] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 54] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 55] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 56] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 57] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 58] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 59] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 60] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 61] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 62] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 63] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 64] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 65] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 66] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 67] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 68] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 69] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 70] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 71] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 72] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 73] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 74] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 75] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 76] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 77] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 78] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 79] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 80] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 81] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 82] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 83] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 84] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 85] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 86] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 87] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 88] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 89] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 90] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 91] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 92] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 93] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 94] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 95] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 96] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 97] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 98] 900.0 1.000 0. 0.009 150930.0027.ec.fits[ 99] 900.0 1.000 0. 0.009 150930.0027.ec.fits[100] 900.0 1.000 0. 0.009 150930.0027.ec.fits[101] 900.0 1.000 0. 0.009 150930.0027.ec.fits[102] 900.0 1.000 0. 0.009 150930.0027.ec.fits[103] 900.0 1.000 0. 0.009 150930.0027.ec.fits[104] 900.0 1.000 0. 0.009 150930.0027.ec.fits[105] 900.0 1.000 0. 0.009 150930.0027.ec.fits[106] 900.0 1.000 0. 0.009 150930.0027.ec.fits[107] 900.0 1.000 0. 0.009 150930.0027.ec.fits[108] 900.0 1.000 0. 0.009 150930.0027.ec.fits[109] 900.0 1.000 0. 0.009 150930.0027.ec.fits[110] 900.0 1.000 0. 0.009 150930.0027.ec.fits[111] 900.0 1.000 0. 0.009 150930.0027.ec.fits[112] 900.0 1.000 0. 0.009 150930.0027.ec.fits[113] 900.0 1.000 0. 0.009 150930.0027.ec.fits[114] 900.0 1.000 0. 0.009 150930.0027.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum150930.0027.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.578, w2 = 10812.1, dw = 0.04372752, nw = 170432., dtype = 0 Nov 10 14:38: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150930.0013.ec.fits[ 1] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 2] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 3] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 4] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 5] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 6] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 7] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 8] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 9] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 10] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 11] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 12] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 13] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 14] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 15] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 16] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 17] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 18] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 19] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 20] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 21] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 22] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 23] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 24] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 25] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 26] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 27] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 28] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 29] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 30] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 31] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 32] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 33] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 34] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 35] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 36] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 37] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 38] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 39] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 40] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 41] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 42] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 43] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 44] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 45] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 46] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 47] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 48] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 49] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 50] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 51] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 52] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 53] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 54] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 55] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 56] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 57] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 58] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 59] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 60] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 61] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 62] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 63] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 64] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 65] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 66] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 67] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 68] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 69] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 70] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 71] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 72] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 73] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 74] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 75] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 76] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 77] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 78] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 79] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 80] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 81] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 82] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 83] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 84] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 85] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 86] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 87] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 88] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 89] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 90] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 91] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 92] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 93] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 94] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 95] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 96] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 97] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 98] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[ 99] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[100] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[101] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[102] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[103] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[104] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[105] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[106] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[107] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[108] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[109] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[110] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[111] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[112] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[113] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[114] 60.0 1.000 0. 0.009 fitcont150930.0013.ec.fits[115] 60.0 1.000 0. 0.009 Output image = sumfitcont150930.0013.ec.fits, ncombine = 115, exptime = 6900.004 w1 = 3359.578, w2 = 10812.1, dw = 0.04372752, nw = 170432., dtype = 0 Nov 10 14:39: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150930.0014.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont150930.0014.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont150930.0014.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.578, w2 = 10812.1, dw = 0.04372752, nw = 170432., dtype = 0 Nov 10 14:39: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150930.0015.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont150930.0015.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont150930.0015.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.578, w2 = 10812.1, dw = 0.04372752, nw = 170432., dtype = 0 Nov 10 14:40: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150930.0016.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont150930.0016.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont150930.0016.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.578, w2 = 10812.1, dw = 0.04372752, nw = 170432., dtype = 0 Nov 10 14:40: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150930.0018.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[100] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[101] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[102] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[103] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[104] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[105] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[106] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[107] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[108] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[109] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[110] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[111] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[112] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[113] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[114] 900.0 1.000 0. 0.009 fitcont150930.0018.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont150930.0018.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.578, w2 = 10812.1, dw = 0.04372752, nw = 170432., dtype = 0 Nov 10 14:41: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150930.0021.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont150930.0021.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont150930.0021.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.578, w2 = 10812.1, dw = 0.04372752, nw = 170432., dtype = 0 Nov 10 14:41: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150930.0022.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont150930.0022.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont150930.0022.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.578, w2 = 10812.1, dw = 0.04372752, nw = 170432., dtype = 0 Nov 10 14:42: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150930.0023.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[100] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[101] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[102] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[103] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[104] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[105] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[106] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[107] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[108] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[109] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[110] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[111] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[112] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[113] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[114] 900.0 1.000 0. 0.009 fitcont150930.0023.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont150930.0023.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.578, w2 = 10812.1, dw = 0.04372752, nw = 170432., dtype = 0 Nov 10 14:42: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150930.0024.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont150930.0024.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont150930.0024.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.578, w2 = 10812.1, dw = 0.04372752, nw = 170432., dtype = 0 Nov 10 14:43: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150930.0026.ec.fits[ 1] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 2] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 3] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 4] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 5] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 6] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 7] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 8] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 9] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 10] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 11] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 12] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 13] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 14] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 15] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 16] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 17] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 18] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 19] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 20] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 21] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 22] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 23] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 24] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 25] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 26] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 27] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 28] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 29] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 30] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 31] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 32] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 33] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 34] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 35] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 36] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 37] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 38] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 39] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 40] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 41] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 42] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 43] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 44] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 45] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 46] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 47] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 48] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 49] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 50] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 51] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 52] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 53] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 54] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 55] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 56] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 57] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 58] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 59] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 60] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 61] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 62] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 63] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 64] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 65] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 66] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 67] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 68] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 69] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 70] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 71] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 72] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 73] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 74] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 75] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 76] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 77] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 78] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 79] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 80] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 81] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 82] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 83] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 84] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 85] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 86] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 87] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 88] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 89] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 90] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 91] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 92] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 93] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 94] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 95] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 96] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 97] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 98] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[ 99] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[100] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[101] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[102] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[103] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[104] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[105] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[106] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[107] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[108] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[109] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[110] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[111] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[112] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[113] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[114] 60.0 1.000 0. 0.009 fitcont150930.0026.ec.fits[115] 60.0 1.000 0. 0.009 Output image = sumfitcont150930.0026.ec.fits, ncombine = 115, exptime = 6900.017 w1 = 3359.578, w2 = 10812.1, dw = 0.04372752, nw = 170432., dtype = 0 Nov 10 14:44: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150930.0027.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[100] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[101] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[102] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[103] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[104] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[105] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[106] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[107] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[108] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[109] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[110] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[111] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[112] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[113] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[114] 900.0 1.000 0. 0.009 fitcont150930.0027.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont150930.0027.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.578, w2 = 10812.1, dw = 0.04372752, nw = 170432., dtype = 0 fullspec150930.0013.ec.fits 6900.004 fullspec150930.0013.ec.fits,EXPTIME: 6900.004 -> 60.0000347826 fullspec150930.0013.ec.fits updated fullspec150930.0014.ec.fits 138000. fullspec150930.0014.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec150930.0014.ec.fits updated fullspec150930.0015.ec.fits 172500. fullspec150930.0015.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec150930.0015.ec.fits updated fullspec150930.0016.ec.fits 172500. fullspec150930.0016.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec150930.0016.ec.fits updated fullspec150930.0018.ec.fits 103500. fullspec150930.0018.ec.fits,EXPTIME: 103500. -> 900.0 fullspec150930.0018.ec.fits updated fullspec150930.0021.ec.fits 138000. fullspec150930.0021.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec150930.0021.ec.fits updated fullspec150930.0022.ec.fits 138000. fullspec150930.0022.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec150930.0022.ec.fits updated fullspec150930.0023.ec.fits 103500. fullspec150930.0023.ec.fits,EXPTIME: 103500. -> 900.0 fullspec150930.0023.ec.fits updated fullspec150930.0024.ec.fits 138000. fullspec150930.0024.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec150930.0024.ec.fits updated fullspec150930.0026.ec.fits 6900.017 fullspec150930.0026.ec.fits,EXPTIME: 6900.017 -> 60.0001478261 fullspec150930.0026.ec.fits updated fullspec150930.0027.ec.fits 103500. fullspec150930.0027.ec.fits,EXPTIME: 103500. -> 900.0 fullspec150930.0027.ec.fits updated ALL DONE! Yay! (=^.^=)