Copying data files and other necessary files Changing to reduced data directory Generating file lists... Setting dispaxis... add 140615.0021.fits,dispaxis = 1 140615.0021.fits updated add 140615.0022.fits,dispaxis = 1 140615.0022.fits updated add 140615.0024.fits,dispaxis = 1 140615.0024.fits updated add 140615.0025.fits,dispaxis = 1 140615.0025.fits updated add 140615.0027.fits,dispaxis = 1 140615.0027.fits updated add 140615.0028.fits,dispaxis = 1 140615.0028.fits updated add 140615.0030.fits,dispaxis = 1 140615.0030.fits updated add 140615.0032.fits,dispaxis = 1 140615.0032.fits updated add 140615.0033.fits,dispaxis = 1 140615.0033.fits updated add 140615.0034.fits,dispaxis = 1 140615.0034.fits updated add EchelleBias.0001.fits,dispaxis = 1 EchelleBias.0001.fits updated add EchelleBias.0002.fits,dispaxis = 1 EchelleBias.0002.fits updated add EchelleBias.0003.fits,dispaxis = 1 EchelleBias.0003.fits updated add EchelleBias.0004.fits,dispaxis = 1 EchelleBias.0004.fits updated add EchelleBias.0005.fits,dispaxis = 1 EchelleBias.0005.fits updated add EchelleBias.0006.fits,dispaxis = 1 EchelleBias.0006.fits updated add EchelleBias.0007.fits,dispaxis = 1 EchelleBias.0007.fits updated add EchelleBias.0008.fits,dispaxis = 1 EchelleBias.0008.fits updated add EchelleBias.0009.fits,dispaxis = 1 EchelleBias.0009.fits updated add EchelleBias.0010.fits,dispaxis = 1 EchelleBias.0010.fits updated add EchelleFlat.0011.fits,dispaxis = 1 EchelleFlat.0011.fits updated add EchelleFlat.0012.fits,dispaxis = 1 EchelleFlat.0012.fits updated add EchelleFlat.0013.fits,dispaxis = 1 EchelleFlat.0013.fits updated add EchelleFlatBlue.0014.fits,dispaxis = 1 EchelleFlatBlue.0014.fits updated add EchelleFlatBlue.0015.fits,dispaxis = 1 EchelleFlatBlue.0015.fits updated add EchelleFlatBlue.0016.fits,dispaxis = 1 EchelleFlatBlue.0016.fits updated add EchelleThAr.0017.fits,dispaxis = 1 EchelleThAr.0017.fits updated add EchelleThAr.0018.fits,dispaxis = 1 EchelleThAr.0018.fits updated add EchelleThAr.0019.fits,dispaxis = 1 EchelleThAr.0019.fits updated add EchelleThAr.0020.fits,dispaxis = 1 EchelleThAr.0020.fits updated add EchelleThAr.0023.fits,dispaxis = 1 EchelleThAr.0023.fits updated add EchelleThAr.0026.fits,dispaxis = 1 EchelleThAr.0026.fits updated add EchelleThAr.0031.fits,dispaxis = 1 EchelleThAr.0031.fits updated add EchelleThAr.0035.fits,dispaxis = 1 EchelleThAr.0035.fits updated FIXPIX: image EchelleFlat.0011.fits with mask echmask.pl FIXPIX: image EchelleFlat.0012.fits with mask echmask.pl FIXPIX: image EchelleFlat.0013.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0014.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0015.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0016.fits with mask echmask.pl FIXPIX: image 140615.0021.fits with mask echmask.pl FIXPIX: image 140615.0022.fits with mask echmask.pl FIXPIX: image 140615.0024.fits with mask echmask.pl FIXPIX: image 140615.0025.fits with mask echmask.pl FIXPIX: image 140615.0027.fits with mask echmask.pl FIXPIX: image 140615.0028.fits with mask echmask.pl FIXPIX: image 140615.0030.fits with mask echmask.pl FIXPIX: image 140615.0032.fits with mask echmask.pl FIXPIX: image 140615.0033.fits with mask echmask.pl FIXPIX: image 140615.0034.fits with mask echmask.pl FIXPIX: image EchelleThAr.0017.fits with mask echmask.pl FIXPIX: image EchelleThAr.0018.fits with mask echmask.pl FIXPIX: image EchelleThAr.0019.fits with mask echmask.pl FIXPIX: image EchelleThAr.0020.fits with mask echmask.pl FIXPIX: image EchelleThAr.0023.fits with mask echmask.pl FIXPIX: image EchelleThAr.0026.fits with mask echmask.pl FIXPIX: image EchelleThAr.0031.fits with mask echmask.pl FIXPIX: image EchelleThAr.0035.fits with mask echmask.pl Jun 15 5:01: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Exp EchelleBias.0001.fits 0.0 EchelleBias.0002.fits 0.0 EchelleBias.0003.fits 0.9 EchelleBias.0004.fits 0.0 EchelleBias.0005.fits 0.9 EchelleBias.0006.fits 0.0 EchelleBias.0007.fits 0.9 EchelleBias.0008.fits 0.0 EchelleBias.0009.fits 0.9 EchelleBias.0010.fits 0.0 Output image = bias_fid, ncombine = 10 Calibrating object images and flats (bias, and trimming)... 140615.0021.fits: Jun 15 5:01 Trim data section is [200:1850,1:2048] bias_fid: Jun 15 5:01 Trim data section is [200:1850,1:2048] 140615.0021.fits: Jun 15 5:01 Zero level correction image is bias_fid 140615.0022.fits: Jun 15 5:01 Trim data section is [200:1850,1:2048] 140615.0022.fits: Jun 15 5:01 Zero level correction image is bias_fid 140615.0024.fits: Jun 15 5:01 Trim data section is [200:1850,1:2048] 140615.0024.fits: Jun 15 5:01 Zero level correction image is bias_fid 140615.0025.fits: Jun 15 5:01 Trim data section is [200:1850,1:2048] 140615.0025.fits: Jun 15 5:01 Zero level correction image is bias_fid 140615.0027.fits: Jun 15 5:01 Trim data section is [200:1850,1:2048] 140615.0027.fits: Jun 15 5:01 Zero level correction image is bias_fid 140615.0028.fits: Jun 15 5:01 Trim data section is [200:1850,1:2048] 140615.0028.fits: Jun 15 5:01 Zero level correction image is bias_fid 140615.0030.fits: Jun 15 5:01 Trim data section is [200:1850,1:2048] 140615.0030.fits: Jun 15 5:01 Zero level correction image is bias_fid 140615.0032.fits: Jun 15 5:01 Trim data section is [200:1850,1:2048] 140615.0032.fits: Jun 15 5:01 Zero level correction image is bias_fid 140615.0033.fits: Jun 15 5:01 Trim data section is [200:1850,1:2048] 140615.0033.fits: Jun 15 5:01 Zero level correction image is bias_fid 140615.0034.fits: Jun 15 5:01 Trim data section is [200:1850,1:2048] 140615.0034.fits: Jun 15 5:01 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlat.0011.fits: Jun 15 5:01 Trim data section is [200:1850,1:2048] EchelleFlat.0011.fits: Jun 15 5:01 Zero level correction image is bias_fid EchelleFlat.0012.fits: Jun 15 5:01 Trim data section is [200:1850,1:2048] EchelleFlat.0012.fits: Jun 15 5:01 Zero level correction image is bias_fid EchelleFlat.0013.fits: Jun 15 5:01 Trim data section is [200:1850,1:2048] EchelleFlat.0013.fits: Jun 15 5:01 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlatBlue.0014.fits: Jun 15 5:01 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0014.fits: Jun 15 5:01 Zero level correction image is bias_fid EchelleFlatBlue.0015.fits: Jun 15 5:01 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0015.fits: Jun 15 5:01 Zero level correction image is bias_fid EchelleFlatBlue.0016.fits: Jun 15 5:01 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0016.fits: Jun 15 5:01 Zero level correction image is bias_fid Calibrating ThAr arcs... EchelleThAr.0017.fits: Jun 15 5:01 Trim data section is [200:1850,1:2048] EchelleThAr.0017.fits: Jun 15 5:01 Zero level correction image is bias_fid EchelleThAr.0018.fits: Jun 15 5:01 Trim data section is [200:1850,1:2048] EchelleThAr.0018.fits: Jun 15 5:01 Zero level correction image is bias_fid EchelleThAr.0019.fits: Jun 15 5:01 Trim data section is [200:1850,1:2048] EchelleThAr.0019.fits: Jun 15 5:01 Zero level correction image is bias_fid EchelleThAr.0020.fits: Jun 15 5:01 Trim data section is [200:1850,1:2048] EchelleThAr.0020.fits: Jun 15 5:01 Zero level correction image is bias_fid EchelleThAr.0023.fits: Jun 15 5:01 Trim data section is [200:1850,1:2048] EchelleThAr.0023.fits: Jun 15 5:01 Zero level correction image is bias_fid EchelleThAr.0026.fits: Jun 15 5:01 Trim data section is [200:1850,1:2048] EchelleThAr.0026.fits: Jun 15 5:01 Zero level correction image is bias_fid EchelleThAr.0031.fits: Jun 15 5:01 Trim data section is [200:1850,1:2048] EchelleThAr.0031.fits: Jun 15 5:01 Zero level correction image is bias_fid EchelleThAr.0035.fits: Jun 15 5:01 Trim data section is [200:1850,1:2048] EchelleThAr.0035.fits: Jun 15 5:01 Zero level correction image is bias_fid Combining red and blue flats into separate fiducial flats... Jun 15 5:01: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp EchelleFlatBlue.0014.fits 200.0 EchelleFlatBlue.0015.fits 200.0 EchelleFlatBlue.0016.fits 200.0 Output image = flat_blue_mean.fits, ncombine = 3 Jun 15 5:01: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp EchelleFlat.0011.fits 7.0 EchelleFlat.0012.fits 7.0 EchelleFlat.0013.fits 7.0 Output image = flat_red_mean.fits, ncombine = 3 Combining average red and blue flats into a superflat... IMARITH: Operation = * Operand1 = flat_red_mean.fits Operand2 = filter_redflat.fit Result = flat_red_mean_filt.fits Result pixel type = double Calculation type = double IMARITH: Operation = + Operand1 = flat_blue_mean.fits Operand2 = flat_red_mean_filt.fits Result = junk Result pixel type = double Calculation type = double IMARITH: Operation = / Operand1 = junk Operand2 = 2.0 Result = flat_fid Result pixel type = double Calculation type = double Replacement value for division by zero = 0. Resample the superflat in the y direction... flat_fid_mag.fits Magnify image flat_fid.fits to image flat_fid_mag.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 flat_fid_mag.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] flat_fid_mag.fits updated Modeling and extracting the superflat... Jun 15 5:02: TRACE - Trace of aperture 95 in flat_fid_mag lost at column 107. Jun 15 5:02: TRACE - Trace of aperture 95 in flat_fid_mag recovered at column 106. Jun 15 5:02: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1600. Jun 15 5:02: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1601. Jun 15 5:02: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1602. Jun 15 5:02: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 146. Jun 15 5:02: TRACE - Trace of aperture 99 in flat_fid_mag recovered at column 145. Jun 15 5:02: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1612. Jun 15 5:02: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1613. Jun 15 5:02: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1614. Jun 15 5:02: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 171. Jun 15 5:02: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 170. Jun 15 5:02: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 94. Jun 15 5:02: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 93. Jun 15 5:02: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 91. Jun 15 5:02: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 90. Jun 15 5:02: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1601. Jun 15 5:02: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 1602. Jun 15 5:02: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1613. Jun 15 5:02: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 1614. Jun 15 5:02: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1615. Jun 15 5:02: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 1616. Jun 15 5:02: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1628. Jun 15 5:02: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1629. Jun 15 5:02: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1630. Jun 15 5:02: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 109. Jun 15 5:02: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 108. Jun 15 5:02: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 107. Jun 15 5:02: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1556. Jun 15 5:02: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1557. Jun 15 5:02: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1596. Jun 15 5:02: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1597. Jun 15 5:02: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1608. Jun 15 5:02: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1609. Jun 15 5:02: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 65. Jun 15 5:02: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 64. Jun 15 5:02: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 62. Jun 15 5:02: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 61. Jun 15 5:02: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1603. Jun 15 5:02: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1604. Jun 15 5:02: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1626. Jun 15 5:02: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1627. Jun 15 5:02: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1628. Jun 15 5:02: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1629. Jun 15 5:02: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1630. Jun 15 5:02: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 136. Jun 15 5:02: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 135. Jun 15 5:02: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 134. Jun 15 5:02: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 133. Jun 15 5:02: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 132. Jun 15 5:02: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 115. Jun 15 5:02: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 114. Jun 15 5:02: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 113. Jun 15 5:02: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1533. Jun 15 5:02: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1534. Jun 15 5:02: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1535. Jun 15 5:02: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 216. Jun 15 5:02: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 215. Jun 15 5:02: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 152. Jun 15 5:02: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 151. Jun 15 5:02: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 112. Jun 15 5:02: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 111. Jun 15 5:02: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1521. Jun 15 5:02: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1522. Jun 15 5:02: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1548. Jun 15 5:02: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1549. Jun 15 5:02: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1560. Jun 15 5:02: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1561. Jun 15 5:02: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1562. Jun 15 5:02: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1563. Jun 15 5:02: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1564. Jun 15 5:02: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1575. Jun 15 5:02: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1576. Jun 15 5:02: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1582. Jun 15 5:02: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1583. Jun 15 5:02: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1584. Jun 15 5:02: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 160. Jun 15 5:02: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 159. Jun 15 5:02: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 155. Jun 15 5:02: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 154. Jun 15 5:02: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 153. Jun 15 5:02: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1496. Jun 15 5:02: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1497. Jun 15 5:02: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1498. Jun 15 5:02: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 222. Jun 15 5:02: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 221. Jun 15 5:02: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 142. Jun 15 5:02: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 141. Jun 15 5:02: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 138. Jun 15 5:02: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 137. Jun 15 5:02: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 135. Jun 15 5:02: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 134. Jun 15 5:02: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 133. Jun 15 5:02: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 124. Jun 15 5:02: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 123. Jun 15 5:02: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 122. Jun 15 5:02: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 119. Jun 15 5:02: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 118. Jun 15 5:02: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 117. Jun 15 5:02: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 108. Jun 15 5:02: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 107. Jun 15 5:02: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 106. Jun 15 5:02: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1445. Jun 15 5:02: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1446. Jun 15 5:02: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1447. Jun 15 5:02: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 184. Jun 15 5:02: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 183. Jun 15 5:02: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 152. Jun 15 5:02: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 151. Jun 15 5:02: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 138. Jun 15 5:02: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 137. Jun 15 5:02: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 119. Jun 15 5:02: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 118. Jun 15 5:02: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 117. Jun 15 5:02: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 111. Jun 15 5:02: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 110. Jun 15 5:02: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 106. Jun 15 5:02: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 105. Jun 15 5:02: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 102. Jun 15 5:02: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 101. Jun 15 5:02: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 87. Jun 15 5:02: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 86. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1417. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1418. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1495. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1496. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1497. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1498. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1499. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1500. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 269. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 268. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 267. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 266. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 247. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 246. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 194. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 193. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 189. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 188. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 187. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 151. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 150. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 149. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 118. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 117. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 116. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 115. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 114. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 102. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 101. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 100. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 99. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 98. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 94. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 93. Jun 15 5:02: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 92. Jun 15 5:02: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1405. Jun 15 5:02: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1406. Jun 15 5:02: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1482. Jun 15 5:02: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1483. Jun 15 5:02: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1523. Jun 15 5:02: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1524. Jun 15 5:02: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1529. Jun 15 5:02: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1530. Jun 15 5:02: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1544. Jun 15 5:02: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1545. Jun 15 5:02: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1546. Jun 15 5:02: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 230. Jun 15 5:02: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 229. Jun 15 5:02: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 228. Jun 15 5:02: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 140. Jun 15 5:02: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 139. Jun 15 5:02: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 129. Jun 15 5:02: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 128. Jun 15 5:02: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 111. Jun 15 5:02: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 110. Jun 15 5:02: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 109. Jun 15 5:02: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1424. Jun 15 5:02: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1425. Jun 15 5:02: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1426. Jun 15 5:02: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1437. Jun 15 5:02: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1438. Jun 15 5:02: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1441. Jun 15 5:02: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1442. Jun 15 5:02: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1490. Jun 15 5:02: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1491. Jun 15 5:02: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1492. Jun 15 5:02: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1493. Jun 15 5:02: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1509. Jun 15 5:02: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1510. Jun 15 5:02: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1512. Jun 15 5:02: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1513. Jun 15 5:02: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1524. Jun 15 5:02: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1525. Jun 15 5:02: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1526. Jun 15 5:02: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 303. Jun 15 5:02: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 302. Jun 15 5:02: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 230. Jun 15 5:02: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 229. Jun 15 5:02: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 228. Jun 15 5:02: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1308. Jun 15 5:02: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1309. Jun 15 5:02: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1354. Jun 15 5:02: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1355. Jun 15 5:02: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1358. Jun 15 5:02: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1359. Jun 15 5:02: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1360. Jun 15 5:02: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1376. Jun 15 5:02: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1377. Jun 15 5:02: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1437. Jun 15 5:02: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1438. Jun 15 5:02: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1439. Jun 15 5:02: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 344. Jun 15 5:02: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 343. Jun 15 5:02: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 301. Jun 15 5:02: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 300. Jun 15 5:02: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 225. Jun 15 5:02: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 224. Jun 15 5:02: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 222. Jun 15 5:02: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 221. Jun 15 5:02: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 201. Jun 15 5:02: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 200. Jun 15 5:02: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 199. Jun 15 5:02: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 198. Jun 15 5:02: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 197. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1211. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1212. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1272. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1273. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1295. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1296. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1337. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1338. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1373. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1374. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1396. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1397. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1398. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1399. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1400. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1410. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1411. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1422. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1423. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1447. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1448. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1449. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1456. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1457. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1458. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1462. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1463. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1472. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1473. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1481. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1482. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1483. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1484. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1485. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1486. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1495. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1496. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1514. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1515. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1516. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 376. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 375. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 307. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 306. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 278. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 277. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 260. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 259. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 252. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 251. Jun 15 5:02: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 250. Jun 15 5:02: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1214. Jun 15 5:02: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1215. Jun 15 5:02: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1262. Jun 15 5:02: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1263. Jun 15 5:02: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1264. Jun 15 5:02: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1282. Jun 15 5:02: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1283. Jun 15 5:02: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1304. Jun 15 5:02: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1305. Jun 15 5:02: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1309. Jun 15 5:02: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1310. Jun 15 5:02: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1311. Jun 15 5:02: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 521. Jun 15 5:02: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 520. Jun 15 5:02: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 498. Jun 15 5:02: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 497. Jun 15 5:02: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 414. Jun 15 5:02: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 413. Jun 15 5:02: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 404. Jun 15 5:02: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 403. Jun 15 5:02: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 402. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1085. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1086. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1087. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1123. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1124. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1145. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1146. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1183. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1184. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1185. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1186. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1187. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1191. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1192. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1193. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1210. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1211. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1222. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1223. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1250. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1251. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1256. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1257. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1258. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1268. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1269. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1275. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1276. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1277. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 801. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 800. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 799. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 561. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 560. Jun 15 5:02: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 559. Jun 15 5:02: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 869. Jun 15 5:02: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 870. Jun 15 5:02: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 871. Jun 15 5:02: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 890. Jun 15 5:02: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 891. Jun 15 5:02: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 892. Jun 15 5:02: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 893. Jun 15 5:02: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 894. Jun 15 5:02: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 895. Jun 15 5:02: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 757. Jun 15 5:02: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 756. Jun 15 5:02: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 755. Jun 15 5:02: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 568. Jun 15 5:02: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 567. Jun 15 5:02: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 566. Jun 15 5:02: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 508. Jun 15 5:02: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 507. Jun 15 5:02: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 431. Jun 15 5:02: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 430. Jun 15 5:02: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 429. Jun 15 5:02: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 382. Jun 15 5:02: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 381. Jun 15 5:02: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 355. Jun 15 5:02: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 354. Jun 15 5:02: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 353. Jun 15 5:02: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 348. Jun 15 5:02: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 347. Jun 15 5:02: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 346. Jun 15 5:02: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 330. Jun 15 5:02: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 329. Jun 15 5:02: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 328. Normalizing the superflat... flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits IMARITH: Operation = + Operand1 = nonorm_flat_fid_mag.ec.fits Operand2 = 13.58 Result = nonorm_flat_fid_mag_bias.fits Result pixel type = real Calculation type = real Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0017.fits Magnify image EchelleThAr.0017.fits to image EchelleThAr.0017.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0017.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0017.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0018.fits Magnify image EchelleThAr.0018.fits to image EchelleThAr.0018.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0018.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0018.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0019.fits Magnify image EchelleThAr.0019.fits to image EchelleThAr.0019.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0019.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0019.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0020.fits Magnify image EchelleThAr.0020.fits to image EchelleThAr.0020.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0020.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0020.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0023.fits Magnify image EchelleThAr.0023.fits to image EchelleThAr.0023.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.0023.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0023.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0026.fits Magnify image EchelleThAr.0026.fits to image EchelleThAr.0026.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0026.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0026.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0031.fits Magnify image EchelleThAr.0031.fits to image EchelleThAr.0031.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.0031.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0031.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0035.fits Magnify image EchelleThAr.0035.fits to image EchelleThAr.0035.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.0035.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0035.fits updated Applying model apertures to the arc and extracting spectra... Resampling the object by a factor of 4 in the y direction... 140615.0021 Magnify image 140615.0021 to image 140615.0021. 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 140615.0021,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140615.0021 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140615.0021 -> noscat140615.0021 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Jun 15 5:02: EXTRACT: WARNING - Aperture 108: Jun 15 5:02: Total variance weighted spectrum flux is 6521.101 Jun 15 5:02: Total unweighted spectrum flux is 2776.662 Jun 15 5:02: EXTRACT: Aperture 108 variance spectrum bias factor is 0.4257964 Jun 15 5:02: EXTRACT: WARNING - Aperture 112: Jun 15 5:02: Total variance weighted spectrum flux is 4564.227 Jun 15 5:02: Total unweighted spectrum flux is 2090.658 Jun 15 5:02: EXTRACT: Aperture 112 variance spectrum bias factor is 0.458053 Jun 15 5:02: EXTRACT: WARNING - Aperture 113: Jun 15 5:02: Total variance weighted spectrum flux is 4158.336 Jun 15 5:02: Total unweighted spectrum flux is -603.1082 Jun 15 5:02: Variance spectrum bias factor ignored Jun 15 5:02: EXTRACT: WARNING - Aperture 114: Jun 15 5:02: Total variance weighted spectrum flux is 6451.522 Jun 15 5:02: Total unweighted spectrum flux is 3125.15 Jun 15 5:02: EXTRACT: Aperture 114 variance spectrum bias factor is 0.4844051 Jun 15 5:02: EXTRACT: WARNING - Aperture 115: Jun 15 5:02: Total variance weighted spectrum flux is 1222.88 Jun 15 5:02: Total unweighted spectrum flux is -4.58952 Jun 15 5:02: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 140615.0022 Magnify image 140615.0022 to image 140615.0022. 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 140615.0022,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140615.0022 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140615.0022 -> noscat140615.0022 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 140615.0024 Magnify image 140615.0024 to image 140615.0024. 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 140615.0024,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140615.0024 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140615.0024 -> noscat140615.0024 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Jun 15 5:04: EXTRACT: WARNING - Aperture 105: Jun 15 5:04: Total variance weighted spectrum flux is 8140.808 Jun 15 5:04: Total unweighted spectrum flux is 4043.436 Jun 15 5:04: EXTRACT: Aperture 105 variance spectrum bias factor is 0.4966873 Jun 15 5:04: EXTRACT: WARNING - Aperture 106: Jun 15 5:04: Total variance weighted spectrum flux is 11159.79 Jun 15 5:04: Total unweighted spectrum flux is 4754.765 Jun 15 5:04: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4260623 Jun 15 5:04: EXTRACT: WARNING - Aperture 109: Jun 15 5:04: Total variance weighted spectrum flux is 11139.82 Jun 15 5:04: Total unweighted spectrum flux is 4616.578 Jun 15 5:04: EXTRACT: Aperture 109 variance spectrum bias factor is 0.4144212 Jun 15 5:04: EXTRACT: WARNING - Aperture 110: Jun 15 5:04: Total variance weighted spectrum flux is 7387.785 Jun 15 5:04: Total unweighted spectrum flux is 3137.267 Jun 15 5:04: EXTRACT: Aperture 110 variance spectrum bias factor is 0.4246559 Jun 15 5:04: EXTRACT: WARNING - Aperture 111: Jun 15 5:04: Total variance weighted spectrum flux is 3216.079 Jun 15 5:04: Total unweighted spectrum flux is 801.4224 Jun 15 5:04: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2491924 Jun 15 5:04: EXTRACT: WARNING - Aperture 112: Jun 15 5:04: Total variance weighted spectrum flux is 4349.608 Jun 15 5:04: Total unweighted spectrum flux is 1491.167 Jun 15 5:04: EXTRACT: Aperture 112 variance spectrum bias factor is 0.3428278 Jun 15 5:04: EXTRACT: WARNING - Aperture 113: Jun 15 5:04: Total variance weighted spectrum flux is 6585.114 Jun 15 5:04: Total unweighted spectrum flux is 2018.309 Jun 15 5:04: EXTRACT: Aperture 113 variance spectrum bias factor is 0.3064957 Jun 15 5:04: EXTRACT: WARNING - Aperture 114: Jun 15 5:04: Total variance weighted spectrum flux is 3912.079 Jun 15 5:04: Total unweighted spectrum flux is 975.0839 Jun 15 5:04: EXTRACT: Aperture 114 variance spectrum bias factor is 0.2492496 Resampling the object by a factor of 4 in the y direction... 140615.0025 Magnify image 140615.0025 to image 140615.0025. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 140615.0025,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140615.0025 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140615.0025 -> noscat140615.0025 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Jun 15 5:04: EXTRACT: WARNING - Aperture 1: Jun 15 5:04: Total variance weighted spectrum flux is 4926.487 Jun 15 5:04: Total unweighted spectrum flux is 1178.911 Jun 15 5:04: EXTRACT: Aperture 1 variance spectrum bias factor is 0.2393005 Jun 15 5:05: EXTRACT: WARNING - Aperture 107: Jun 15 5:05: Total variance weighted spectrum flux is 8707.999 Jun 15 5:05: Total unweighted spectrum flux is 3919.467 Jun 15 5:05: EXTRACT: Aperture 107 variance spectrum bias factor is 0.4500996 Jun 15 5:05: EXTRACT: WARNING - Aperture 108: Jun 15 5:05: Total variance weighted spectrum flux is 5007.475 Jun 15 5:05: Total unweighted spectrum flux is 2214.832 Jun 15 5:05: EXTRACT: Aperture 108 variance spectrum bias factor is 0.4423052 Jun 15 5:05: EXTRACT: WARNING - Aperture 110: Jun 15 5:05: Total variance weighted spectrum flux is 6437.123 Jun 15 5:05: Total unweighted spectrum flux is 2576.513 Jun 15 5:05: EXTRACT: Aperture 110 variance spectrum bias factor is 0.4002585 Jun 15 5:05: EXTRACT: WARNING - Aperture 111: Jun 15 5:05: Total variance weighted spectrum flux is 7755.5 Jun 15 5:05: Total unweighted spectrum flux is 3019.584 Jun 15 5:05: EXTRACT: Aperture 111 variance spectrum bias factor is 0.3893474 Jun 15 5:05: EXTRACT: WARNING - Aperture 112: Jun 15 5:05: Total variance weighted spectrum flux is 7025.779 Jun 15 5:05: Total unweighted spectrum flux is 2703.274 Jun 15 5:05: EXTRACT: Aperture 112 variance spectrum bias factor is 0.384765 Jun 15 5:05: EXTRACT: WARNING - Aperture 113: Jun 15 5:05: Total variance weighted spectrum flux is 3704.574 Jun 15 5:05: Total unweighted spectrum flux is -290.7377 Jun 15 5:05: Variance spectrum bias factor ignored Jun 15 5:05: EXTRACT: WARNING - Aperture 114: Jun 15 5:05: Total variance weighted spectrum flux is 5679.671 Jun 15 5:05: Total unweighted spectrum flux is 1983.481 Jun 15 5:05: EXTRACT: Aperture 114 variance spectrum bias factor is 0.3492246 Jun 15 5:05: EXTRACT: WARNING - Aperture 115: Jun 15 5:05: Total variance weighted spectrum flux is 2758.764 Jun 15 5:05: Total unweighted spectrum flux is -627.7829 Jun 15 5:05: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 140615.0027 Magnify image 140615.0027 to image 140615.0027. 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 140615.0027,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140615.0027 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140615.0027 -> noscat140615.0027 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Jun 15 5:05: EXTRACT: WARNING - Aperture 1: Jun 15 5:05: Total variance weighted spectrum flux is 7122.625 Jun 15 5:05: Total unweighted spectrum flux is 2346.271 Jun 15 5:05: EXTRACT: Aperture 1 variance spectrum bias factor is 0.329411 Jun 15 5:05: EXTRACT: WARNING - Aperture 112: Jun 15 5:05: Total variance weighted spectrum flux is 10238.96 Jun 15 5:05: Total unweighted spectrum flux is 4470.076 Jun 15 5:05: EXTRACT: Aperture 112 variance spectrum bias factor is 0.4365753 Jun 15 5:05: EXTRACT: WARNING - Aperture 113: Jun 15 5:05: Total variance weighted spectrum flux is 5922.052 Jun 15 5:05: Total unweighted spectrum flux is 1946.788 Jun 15 5:05: EXTRACT: Aperture 113 variance spectrum bias factor is 0.3287354 Jun 15 5:05: EXTRACT: WARNING - Aperture 114: Jun 15 5:05: Total variance weighted spectrum flux is 4153.961 Jun 15 5:05: Total unweighted spectrum flux is 1515.739 Jun 15 5:05: EXTRACT: Aperture 114 variance spectrum bias factor is 0.3648899 Jun 15 5:05: EXTRACT: WARNING - Aperture 115: Jun 15 5:05: Total variance weighted spectrum flux is 1623.107 Jun 15 5:05: Total unweighted spectrum flux is 380.8262 Jun 15 5:05: EXTRACT: Aperture 115 variance spectrum bias factor is 0.2346279 Resampling the object by a factor of 4 in the y direction... 140615.0028 Magnify image 140615.0028 to image 140615.0028. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 140615.0028,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140615.0028 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140615.0028 -> noscat140615.0028 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Jun 15 5:06: EXTRACT: WARNING - Aperture 112: Jun 15 5:06: Total variance weighted spectrum flux is 9027.49 Jun 15 5:06: Total unweighted spectrum flux is 2762.887 Jun 15 5:06: EXTRACT: Aperture 112 variance spectrum bias factor is 0.3060527 Jun 15 5:06: EXTRACT: WARNING - Aperture 113: Jun 15 5:06: Total variance weighted spectrum flux is 9288.225 Jun 15 5:06: Total unweighted spectrum flux is 4378.968 Jun 15 5:06: EXTRACT: Aperture 113 variance spectrum bias factor is 0.4714538 Jun 15 5:06: EXTRACT: WARNING - Aperture 114: Jun 15 5:06: Total variance weighted spectrum flux is 10938.27 Jun 15 5:06: Total unweighted spectrum flux is 5401.908 Jun 15 5:06: EXTRACT: Aperture 114 variance spectrum bias factor is 0.493854 Resampling the object by a factor of 4 in the y direction... 140615.0030 Magnify image 140615.0030 to image 140615.0030. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 140615.0030,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140615.0030 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140615.0030 -> noscat140615.0030 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 140615.0032 Magnify image 140615.0032 to image 140615.0032. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 140615.0032,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140615.0032 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140615.0032 -> noscat140615.0032 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 140615.0033 Magnify image 140615.0033 to image 140615.0033. 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 140615.0033,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140615.0033 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140615.0033 -> noscat140615.0033 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 140615.0034 Magnify image 140615.0034 to image 140615.0034. 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 140615.0034,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140615.0034 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140615.0034 -> noscat140615.0034 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Jun 15 5:09: EXTRACT: WARNING - Aperture 109: Jun 15 5:09: Total variance weighted spectrum flux is 6720.708 Jun 15 5:09: Total unweighted spectrum flux is 2044.056 Jun 15 5:09: EXTRACT: Aperture 109 variance spectrum bias factor is 0.304143 Jun 15 5:09: EXTRACT: WARNING - Aperture 112: Jun 15 5:09: Total variance weighted spectrum flux is 15498.5 Jun 15 5:09: Total unweighted spectrum flux is 6606.043 Jun 15 5:09: EXTRACT: Aperture 112 variance spectrum bias factor is 0.4262377 Jun 15 5:09: EXTRACT: WARNING - Aperture 113: Jun 15 5:09: Total variance weighted spectrum flux is 4379.791 Jun 15 5:09: Total unweighted spectrum flux is 1163.562 Jun 15 5:09: EXTRACT: Aperture 113 variance spectrum bias factor is 0.2656662 Jun 15 5:09: EXTRACT: WARNING - Aperture 114: Jun 15 5:09: Total variance weighted spectrum flux is 3764.198 Jun 15 5:09: Total unweighted spectrum flux is 1049.772 Jun 15 5:09: EXTRACT: Aperture 114 variance spectrum bias factor is 0.2788834 Jun 15 5:09: EXTRACT: WARNING - Aperture 115: Jun 15 5:09: Total variance weighted spectrum flux is 2307.712 Jun 15 5:09: Total unweighted spectrum flux is 894.194 Jun 15 5:09: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3874808 add EchelleThAr.0017.ec.fits,REFSPEC1 = EchelleThAr.0017.ec.fits EchelleThAr.0017.ec.fits updated add EchelleThAr.0018.ec.fits,REFSPEC1 = EchelleThAr.0018.ec.fits EchelleThAr.0018.ec.fits updated add EchelleThAr.0019.ec.fits,REFSPEC1 = EchelleThAr.0019.ec.fits EchelleThAr.0019.ec.fits updated add EchelleThAr.0020.ec.fits,REFSPEC1 = EchelleThAr.0020.ec.fits EchelleThAr.0020.ec.fits updated add EchelleThAr.0023.ec.fits,REFSPEC1 = EchelleThAr.0023.ec.fits EchelleThAr.0023.ec.fits updated add EchelleThAr.0026.ec.fits,REFSPEC1 = EchelleThAr.0026.ec.fits EchelleThAr.0026.ec.fits updated add EchelleThAr.0031.ec.fits,REFSPEC1 = EchelleThAr.0031.ec.fits EchelleThAr.0031.ec.fits updated add EchelleThAr.0035.ec.fits,REFSPEC1 = EchelleThAr.0035.ec.fits EchelleThAr.0035.ec.fits updated Flatfielding extracted arcs and object spectra... add EchelleThAr.0017.ec.fits,UTMIDDLE = 0 EchelleThAr.0017.ec.fits updated EchelleThAr.0017.ec.fits,UTMIDDLE: 0 -> 06:11:12.488018 EchelleThAr.0017.ec.fits updated add EchelleThAr.0018.ec.fits,UTMIDDLE = 0 EchelleThAr.0018.ec.fits updated EchelleThAr.0018.ec.fits,UTMIDDLE: 0 -> 06:14:03.905252 EchelleThAr.0018.ec.fits updated add EchelleThAr.0019.ec.fits,UTMIDDLE = 0 EchelleThAr.0019.ec.fits updated EchelleThAr.0019.ec.fits,UTMIDDLE: 0 -> 06:17:07.089203 EchelleThAr.0019.ec.fits updated add EchelleThAr.0020.ec.fits,UTMIDDLE = 0 EchelleThAr.0020.ec.fits updated EchelleThAr.0020.ec.fits,UTMIDDLE: 0 -> 06:20:09.321218 EchelleThAr.0020.ec.fits updated add EchelleThAr.0023.ec.fits,UTMIDDLE = 0 EchelleThAr.0023.ec.fits updated EchelleThAr.0023.ec.fits,UTMIDDLE: 0 -> 07:47:41.122203 EchelleThAr.0023.ec.fits updated add EchelleThAr.0026.ec.fits,UTMIDDLE = 0 EchelleThAr.0026.ec.fits updated EchelleThAr.0026.ec.fits,UTMIDDLE: 0 -> 08:46:35.195226 EchelleThAr.0026.ec.fits updated add EchelleThAr.0031.ec.fits,UTMIDDLE = 0 EchelleThAr.0031.ec.fits updated EchelleThAr.0031.ec.fits,UTMIDDLE: 0 -> 09:59:00.790717 EchelleThAr.0031.ec.fits updated add EchelleThAr.0035.ec.fits,UTMIDDLE = 0 EchelleThAr.0035.ec.fits updated EchelleThAr.0035.ec.fits,UTMIDDLE: 0 -> 10:50:00.084730 EchelleThAr.0035.ec.fits updated add 140615.0021.ec.fits,UTMIDDLE = 0 140615.0021.ec.fits updated 140615.0021.ec.fits,UTMIDDLE: 0 -> 07:22:30.504049 140615.0021.ec.fits updated add 140615.0022.ec.fits,UTMIDDLE = 0 140615.0022.ec.fits updated 140615.0022.ec.fits,UTMIDDLE: 0 -> 07:38:41.080763 140615.0022.ec.fits updated add 140615.0024.ec.fits,UTMIDDLE = 0 140615.0024.ec.fits updated 140615.0024.ec.fits,UTMIDDLE: 0 -> 08:03:06.417791 140615.0024.ec.fits updated add 140615.0025.ec.fits,UTMIDDLE = 0 140615.0025.ec.fits updated 140615.0025.ec.fits,UTMIDDLE: 0 -> 08:30:52.328878 140615.0025.ec.fits updated add 140615.0027.ec.fits,UTMIDDLE = 0 140615.0027.ec.fits updated 140615.0027.ec.fits,UTMIDDLE: 0 -> 09:01:57.210791 140615.0027.ec.fits updated add 140615.0028.ec.fits,UTMIDDLE = 0 140615.0028.ec.fits updated 140615.0028.ec.fits,UTMIDDLE: 0 -> 09:27:00.857694 140615.0028.ec.fits updated add 140615.0030.ec.fits,UTMIDDLE = 0 140615.0030.ec.fits updated 140615.0030.ec.fits,UTMIDDLE: 0 -> 09:48:34.805119 140615.0030.ec.fits updated add 140615.0032.ec.fits,UTMIDDLE = 0 140615.0032.ec.fits updated 140615.0032.ec.fits,UTMIDDLE: 0 -> 10:06:51.141036 140615.0032.ec.fits updated add 140615.0033.ec.fits,UTMIDDLE = 0 140615.0033.ec.fits updated 140615.0033.ec.fits,UTMIDDLE: 0 -> 10:21:55.556628 140615.0033.ec.fits updated add 140615.0034.ec.fits,UTMIDDLE = 0 140615.0034.ec.fits updated 140615.0034.ec.fits,UTMIDDLE: 0 -> 10:39:34.393144 140615.0034.ec.fits updated Setting Julian Date Keywords # Image jd hjd ljd # SETJD: Observatory parameters for Apache Point Observatory # timezone = 7 140615.0021.ec.fits 2456823.80730 2456823.80918 2456823 140615.0022.ec.fits 2456823.81853 2456823.82021 2456823 140615.0024.ec.fits 2456823.83549 2456823.83723 2456823 140615.0025.ec.fits 2456823.85477 2456823.85679 2456823 140615.0027.ec.fits 2456823.87636 2456823.87857 2456823 140615.0028.ec.fits 2456823.89376 2456823.89594 2456823 140615.0030.ec.fits 2456823.90874 2456823.91005 2456823 140615.0032.ec.fits 2456823.92143 2456823.92319 2456823 140615.0033.ec.fits 2456823.93189 2456823.93370 2456823 140615.0034.ec.fits 2456823.94415 2456823.94571 2456823 ECREIDENTIFY: NOAO/IRAF V2.16.1 jeanm12@tequila.nmsu.edu Sun 05:09:44 15-Jun-2014 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS EchelleThAr.0017.ec 1060/2055 1060/1060 2.86 -20.9 -3.7E-5 0.0125 EchelleThAr.0018.ec 1960/2055 1960/1960 2.75 -20.1 -3.6E-5 0.00926 EchelleThAr.0019.ec 1945/2055 1945/1945 2.68 -19.6 -3.5E-5 0.0106 EchelleThAr.0020.ec 1914/2055 1914/1914 2.65 -19.4 -3.4E-5 0.0103 EchelleThAr.0023.ec 1884/2055 1884/1884 2.34 -17.1 -3.0E-5 0.0107 EchelleThAr.0026.ec 1939/2055 1939/1939 2.17 -15.9 -2.8E-5 0.00991 EchelleThAr.0031.ec 1972/2055 1972/1972 2.01 -14.7 -2.6E-5 0.00932 EchelleThAr.0035.ec 1980/2055 1980/1980 1.86 -13.6 -2.4E-5 0.00964 [140615.0021.ec] refspec1='EchelleThAr.0020.ec 0.28763813' [140615.0021.ec] refspec2='EchelleThAr.0023.ec 0.71236187' [140615.0022.ec] refspec1='EchelleThAr.0020.ec 0.10282976' [140615.0022.ec] refspec2='EchelleThAr.0023.ec 0.89717025' [140615.0024.ec] refspec1='EchelleThAr.0023.ec 0.73817873' [140615.0024.ec] refspec2='EchelleThAr.0026.ec 0.2618213' [140615.0025.ec] refspec1='EchelleThAr.0023.ec 0.2667931' [140615.0025.ec] refspec2='EchelleThAr.0026.ec 0.73320687' [140615.0027.ec] refspec1='EchelleThAr.0026.ec 0.78782755' [140615.0027.ec] refspec2='EchelleThAr.0031.ec 0.21217243' [140615.0028.ec] refspec1='EchelleThAr.0026.ec 0.44181126' [140615.0028.ec] refspec2='EchelleThAr.0031.ec 0.55818874' [140615.0030.ec] refspec1='EchelleThAr.0026.ec 0.1440506' [140615.0030.ec] refspec2='EchelleThAr.0031.ec 0.8559494' [140615.0032.ec] refspec1='EchelleThAr.0031.ec 0.8462553' [140615.0032.ec] refspec2='EchelleThAr.0035.ec 0.15374473' [140615.0033.ec] refspec1='EchelleThAr.0031.ec 0.5506264' [140615.0033.ec] refspec2='EchelleThAr.0035.ec 0.44937357' [140615.0034.ec] refspec1='EchelleThAr.0031.ec 0.20452157' [140615.0034.ec] refspec2='EchelleThAr.0035.ec 0.79547846' [EchelleThAr.0017.ec] refspec1='EchelleThAr.0017.ec' [EchelleThAr.0018.ec] refspec1='EchelleThAr.0018.ec' [EchelleThAr.0019.ec] refspec1='EchelleThAr.0019.ec' [EchelleThAr.0020.ec] refspec1='EchelleThAr.0020.ec' [EchelleThAr.0023.ec] refspec1='EchelleThAr.0023.ec' [EchelleThAr.0026.ec] refspec1='EchelleThAr.0026.ec' [EchelleThAr.0031.ec] refspec1='EchelleThAr.0031.ec' [EchelleThAr.0035.ec] refspec1='EchelleThAr.0035.ec' 140615.0021.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 0.28763813' 140615.0021.ec.fits: REFSPEC2 = 'EchelleThAr.0023.ec 0.71236187' 140615.0021.ec.fits: ap = 1, w1 = 10812.06, w2 = 10583.89, dw = -0.13829, nw = 1651 140615.0021.ec.fits: ap = 2, w1 = 10611.86, w2 = 10387.91, dw = -0.13572, nw = 1651 140615.0021.ec.fits: ap = 3, w1 = 10418.94, w2 = 10199.06, dw = -0.13326, nw = 1651 140615.0021.ec.fits: ap = 4, w1 = 10232.9, w2 = 10016.96, dw = -0.13088, nw = 1651 140615.0021.ec.fits: ap = 5, w1 = 10053.39, w2 = 9841.238, dw = -0.12858, nw = 1651 140615.0021.ec.fits: ap = 6, w1 = 9880.074, w2 = 9671.579, dw = -0.12636, nw = 1651 140615.0021.ec.fits: ap = 7, w1 = 9712.63, w2 = 9507.671, dw = -0.12422, nw = 1651 140615.0021.ec.fits: ap = 8, w1 = 9550.768, w2 = 9349.227, dw = -0.12215, nw = 1651 140615.0021.ec.fits: ap = 9, w1 = 9394.212, w2 = 9195.977, dw = -0.12014, nw = 1651 140615.0021.ec.fits: ap = 10, w1 = 9242.706, w2 = 9047.67, dw = -0.1182, nw = 1651 140615.0021.ec.fits: ap = 11, w1 = 9096.01, w2 = 8904.072, dw = -0.11633, nw = 1651 140615.0021.ec.fits: ap = 12, w1 = 8953.898, w2 = 8764.961, dw = -0.11451, nw = 1651 140615.0021.ec.fits: ap = 13, w1 = 8816.158, w2 = 8630.129, dw = -0.11274, nw = 1651 140615.0021.ec.fits: ap = 14, w1 = 8682.592, w2 = 8499.384, dw = -0.11104, nw = 1651 140615.0021.ec.fits: ap = 15, w1 = 8553.012, w2 = 8372.541, dw = -0.10938, nw = 1651 140615.0021.ec.fits: ap = 16, w1 = 8427.244, w2 = 8249.429, dw = -0.10777, nw = 1651 140615.0021.ec.fits: ap = 17, w1 = 8305.121, w2 = 8129.885, dw = -0.1062, nw = 1651 140615.0021.ec.fits: ap = 18, w1 = 8186.487, w2 = 8013.757, dw = -0.10469, nw = 1651 140615.0021.ec.fits: ap = 19, w1 = 8071.195, w2 = 7900.899, dw = -0.10321, nw = 1651 140615.0021.ec.fits: ap = 20, w1 = 7959.105, w2 = 7791.177, dw = -0.10177, nw = 1651 140615.0021.ec.fits: ap = 21, w1 = 7850.086, w2 = 7684.461, dw = -0.10038, nw = 1651 140615.0021.ec.fits: ap = 22, w1 = 7744.014, w2 = 7580.628, dw = -0.09902, nw = 1651 140615.0021.ec.fits: ap = 23, w1 = 7640.77, w2 = 7479.565, dw = -0.0977, nw = 1651 140615.0021.ec.fits: ap = 24, w1 = 7540.243, w2 = 7381.161, dw = -0.09641, nw = 1651 140615.0021.ec.fits: ap = 25, w1 = 7442.327, w2 = 7285.313, dw = -0.09516, nw = 1651 140615.0021.ec.fits: ap = 26, w1 = 7346.921, w2 = 7191.923, dw = -0.09394, nw = 1651 140615.0021.ec.fits: ap = 27, w1 = 7253.931, w2 = 7100.897, dw = -0.09275, nw = 1651 140615.0021.ec.fits: ap = 28, w1 = 7163.266, w2 = 7012.147, dw = -0.09159, nw = 1651 140615.0021.ec.fits: ap = 29, w1 = 7074.839, w2 = 6925.588, dw = -0.09046, nw = 1651 140615.0021.ec.fits: ap = 30, w1 = 6988.569, w2 = 6841.14, dw = -0.08935, nw = 1651 140615.0021.ec.fits: ap = 31, w1 = 6904.378, w2 = 6758.727, dw = -0.08827, nw = 1651 140615.0021.ec.fits: ap = 32, w1 = 6822.191, w2 = 6678.277, dw = -0.08722, nw = 1651 140615.0021.ec.fits: ap = 33, w1 = 6741.938, w2 = 6599.719, dw = -0.08619, nw = 1651 140615.0021.ec.fits: ap = 34, w1 = 6663.552, w2 = 6522.988, dw = -0.08519, nw = 1651 140615.0021.ec.fits: ap = 35, w1 = 6586.967, w2 = 6448.022, dw = -0.08421, nw = 1651 140615.0021.ec.fits: ap = 36, w1 = 6512.124, w2 = 6374.759, dw = -0.08325, nw = 1651 140615.0021.ec.fits: ap = 37, w1 = 6438.962, w2 = 6303.142, dw = -0.08231, nw = 1651 140615.0021.ec.fits: ap = 38, w1 = 6367.426, w2 = 6233.117, dw = -0.0814, nw = 1651 140615.0021.ec.fits: ap = 39, w1 = 6297.462, w2 = 6164.632, dw = -0.0805, nw = 1651 140615.0021.ec.fits: ap = 40, w1 = 6229.019, w2 = 6097.635, dw = -0.07963, nw = 1651 140615.0021.ec.fits: ap = 41, w1 = 6162.049, w2 = 6032.079, dw = -0.07877, nw = 1651 140615.0021.ec.fits: ap = 42, w1 = 6096.503, w2 = 5967.918, dw = -0.07793, nw = 1651 140615.0021.ec.fits: ap = 43, w1 = 6032.337, w2 = 5905.107, dw = -0.07711, nw = 1651 140615.0021.ec.fits: ap = 44, w1 = 5969.508, w2 = 5843.606, dw = -0.0763, nw = 1651 140615.0021.ec.fits: ap = 45, w1 = 5907.975, w2 = 5783.372, dw = -0.07552, nw = 1651 140615.0021.ec.fits: ap = 46, w1 = 5847.697, w2 = 5724.368, dw = -0.07475, nw = 1651 140615.0021.ec.fits: ap = 47, w1 = 5788.637, w2 = 5666.556, dw = -0.07399, nw = 1651 140615.0021.ec.fits: ap = 48, w1 = 5730.759, w2 = 5609.9, dw = -0.07325, nw = 1651 140615.0021.ec.fits: ap = 49, w1 = 5674.027, w2 = 5554.366, dw = -0.07252, nw = 1651 140615.0021.ec.fits: ap = 50, w1 = 5618.407, w2 = 5499.921, dw = -0.07181, nw = 1651 140615.0021.ec.fits: ap = 51, w1 = 5563.868, w2 = 5446.534, dw = -0.07111, nw = 1651 140615.0021.ec.fits: ap = 52, w1 = 5510.377, w2 = 5394.173, dw = -0.07043, nw = 1651 140615.0021.ec.fits: ap = 53, w1 = 5457.905, w2 = 5342.809, dw = -0.06975, nw = 1651 140615.0021.ec.fits: ap = 54, w1 = 5406.424, w2 = 5292.415, dw = -0.0691, nw = 1651 140615.0021.ec.fits: ap = 55, w1 = 5355.904, w2 = 5242.963, dw = -0.06845, nw = 1651 140615.0021.ec.fits: ap = 56, w1 = 5306.321, w2 = 5194.427, dw = -0.06781, nw = 1651 140615.0021.ec.fits: ap = 57, w1 = 5257.647, w2 = 5146.782, dw = -0.06719, nw = 1651 140615.0021.ec.fits: ap = 58, w1 = 5209.859, w2 = 5100.002, dw = -0.06658, nw = 1651 140615.0021.ec.fits: ap = 59, w1 = 5162.931, w2 = 5054.066, dw = -0.06598, nw = 1651 140615.0021.ec.fits: ap = 60, w1 = 5116.842, w2 = 5008.951, dw = -0.06539, nw = 1651 140615.0021.ec.fits: ap = 61, w1 = 5071.569, w2 = 4964.633, dw = -0.06481, nw = 1651 140615.0021.ec.fits: ap = 62, w1 = 5027.09, w2 = 4921.094, dw = -0.06424, nw = 1651 140615.0021.ec.fits: ap = 63, w1 = 4983.385, w2 = 4878.312, dw = -0.06368, nw = 1651 140615.0021.ec.fits: ap = 64, w1 = 4940.433, w2 = 4836.267, dw = -0.06313, nw = 1651 140615.0021.ec.fits: ap = 65, w1 = 4898.216, w2 = 4794.941, dw = -0.06259, nw = 1651 140615.0021.ec.fits: ap = 66, w1 = 4856.714, w2 = 4754.316, dw = -0.06206, nw = 1651 140615.0021.ec.fits: ap = 67, w1 = 4815.91, w2 = 4714.374, dw = -0.06154, nw = 1651 140615.0021.ec.fits: ap = 68, w1 = 4775.786, w2 = 4675.097, dw = -0.06102, nw = 1651 140615.0021.ec.fits: ap = 69, w1 = 4736.326, w2 = 4636.47, dw = -0.06052, nw = 1651 140615.0021.ec.fits: ap = 70, w1 = 4697.512, w2 = 4598.476, dw = -0.06002, nw = 1651 140615.0021.ec.fits: ap = 71, w1 = 4659.33, w2 = 4561.1, dw = -0.05953, nw = 1651 140615.0021.ec.fits: ap = 72, w1 = 4621.764, w2 = 4524.327, dw = -0.05905, nw = 1651 140615.0021.ec.fits: ap = 73, w1 = 4584.799, w2 = 4488.143, dw = -0.05858, nw = 1651 140615.0021.ec.fits: ap = 74, w1 = 4548.421, w2 = 4452.533, dw = -0.05811, nw = 1651 140615.0021.ec.fits: ap = 75, w1 = 4512.615, w2 = 4417.484, dw = -0.05766, nw = 1651 140615.0021.ec.fits: ap = 76, w1 = 4477.37, w2 = 4382.982, dw = -0.0572, nw = 1651 140615.0021.ec.fits: ap = 77, w1 = 4442.671, w2 = 4349.016, dw = -0.05676, nw = 1651 140615.0021.ec.fits: ap = 78, w1 = 4408.506, w2 = 4315.572, dw = -0.05632, nw = 1651 140615.0021.ec.fits: ap = 79, w1 = 4374.862, w2 = 4282.639, dw = -0.05589, nw = 1651 140615.0021.ec.fits: ap = 80, w1 = 4341.728, w2 = 4250.204, dw = -0.05547, nw = 1651 140615.0021.ec.fits: ap = 81, w1 = 4309.093, w2 = 4218.258, dw = -0.05505, nw = 1651 140615.0021.ec.fits: ap = 82, w1 = 4276.945, w2 = 4186.788, dw = -0.05464, nw = 1651 140615.0021.ec.fits: ap = 83, w1 = 4245.274, w2 = 4155.785, dw = -0.05424, nw = 1651 140615.0021.ec.fits: ap = 84, w1 = 4214.068, w2 = 4125.238, dw = -0.05384, nw = 1651 140615.0021.ec.fits: ap = 85, w1 = 4183.318, w2 = 4095.137, dw = -0.05344, nw = 1651 140615.0021.ec.fits: ap = 86, w1 = 4153.014, w2 = 4065.473, dw = -0.05306, nw = 1651 140615.0021.ec.fits: ap = 87, w1 = 4123.146, w2 = 4036.235, dw = -0.05267, nw = 1651 140615.0021.ec.fits: ap = 88, w1 = 4093.704, w2 = 4007.415, dw = -0.0523, nw = 1651 140615.0021.ec.fits: ap = 89, w1 = 4064.681, w2 = 3979.003, dw = -0.05193, nw = 1651 140615.0021.ec.fits: ap = 90, w1 = 4036.066, w2 = 3950.992, dw = -0.05156, nw = 1651 140615.0021.ec.fits: ap = 91, w1 = 4007.852, w2 = 3923.373, dw = -0.0512, nw = 1651 140615.0021.ec.fits: ap = 92, w1 = 3980.029, w2 = 3896.138, dw = -0.05084, nw = 1651 140615.0021.ec.fits: ap = 93, w1 = 3952.591, w2 = 3869.278, dw = -0.05049, nw = 1651 140615.0021.ec.fits: ap = 94, w1 = 3925.528, w2 = 3842.786, dw = -0.05015, nw = 1651 140615.0021.ec.fits: ap = 95, w1 = 3898.834, w2 = 3816.655, dw = -0.04981, nw = 1651 140615.0021.ec.fits: ap = 96, w1 = 3872.5, w2 = 3790.877, dw = -0.04947, nw = 1651 140615.0021.ec.fits: ap = 97, w1 = 3846.52, w2 = 3765.444, dw = -0.04914, nw = 1651 140615.0021.ec.fits: ap = 98, w1 = 3820.886, w2 = 3740.351, dw = -0.04881, nw = 1651 140615.0021.ec.fits: ap = 99, w1 = 3795.592, w2 = 3715.591, dw = -0.04849, nw = 1651 140615.0021.ec.fits: ap = 100, w1 = 3770.631, w2 = 3691.156, dw = -0.04817, nw = 1651 140615.0021.ec.fits: ap = 101, w1 = 3745.997, w2 = 3667.041, dw = -0.04785, nw = 1651 140615.0021.ec.fits: ap = 102, w1 = 3721.682, w2 = 3643.239, dw = -0.04754, nw = 1651 140615.0021.ec.fits: ap = 103, w1 = 3697.681, w2 = 3619.744, dw = -0.04723, nw = 1651 140615.0021.ec.fits: ap = 104, w1 = 3673.988, w2 = 3596.55, dw = -0.04693, nw = 1651 140615.0021.ec.fits: ap = 105, w1 = 3650.597, w2 = 3573.652, dw = -0.04663, nw = 1651 140615.0021.ec.fits: ap = 106, w1 = 3627.502, w2 = 3551.043, dw = -0.04634, nw = 1651 140615.0021.ec.fits: ap = 107, w1 = 3604.697, w2 = 3528.719, dw = -0.04605, nw = 1651 140615.0021.ec.fits: ap = 108, w1 = 3582.178, w2 = 3506.674, dw = -0.04576, nw = 1651 140615.0021.ec.fits: ap = 109, w1 = 3559.938, w2 = 3484.903, dw = -0.04548, nw = 1651 140615.0021.ec.fits: ap = 110, w1 = 3537.973, w2 = 3463.401, dw = -0.0452, nw = 1651 140615.0021.ec.fits: ap = 111, w1 = 3516.278, w2 = 3442.163, dw = -0.04492, nw = 1651 140615.0021.ec.fits: ap = 112, w1 = 3494.847, w2 = 3421.183, dw = -0.04464, nw = 1651 140615.0021.ec.fits: ap = 113, w1 = 3473.676, w2 = 3400.458, dw = -0.04437, nw = 1651 140615.0021.ec.fits: ap = 114, w1 = 3452.76, w2 = 3379.982, dw = -0.04411, nw = 1651 140615.0021.ec.fits: ap = 115, w1 = 3432.094, w2 = 3359.752, dw = -0.04384, nw = 1651 140615.0022.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 0.10282976' 140615.0022.ec.fits: REFSPEC2 = 'EchelleThAr.0023.ec 0.89717025' 140615.0022.ec.fits: ap = 1, w1 = 10812.05, w2 = 10583.88, dw = -0.13829, nw = 1651 140615.0022.ec.fits: ap = 2, w1 = 10611.85, w2 = 10387.9, dw = -0.13572, nw = 1651 140615.0022.ec.fits: ap = 3, w1 = 10418.92, w2 = 10199.05, dw = -0.13326, nw = 1651 140615.0022.ec.fits: ap = 4, w1 = 10232.89, w2 = 10016.95, dw = -0.13088, nw = 1651 140615.0022.ec.fits: ap = 5, w1 = 10053.38, w2 = 9841.228, dw = -0.12858, nw = 1651 140615.0022.ec.fits: ap = 6, w1 = 9880.065, w2 = 9671.57, dw = -0.12636, nw = 1651 140615.0022.ec.fits: ap = 7, w1 = 9712.622, w2 = 9507.662, dw = -0.12422, nw = 1651 140615.0022.ec.fits: ap = 8, w1 = 9550.761, w2 = 9349.218, dw = -0.12215, nw = 1651 140615.0022.ec.fits: ap = 9, w1 = 9394.205, w2 = 9195.969, dw = -0.12014, nw = 1651 140615.0022.ec.fits: ap = 10, w1 = 9242.7, w2 = 9047.662, dw = -0.1182, nw = 1651 140615.0022.ec.fits: ap = 11, w1 = 9096.004, w2 = 8904.064, dw = -0.11633, nw = 1651 140615.0022.ec.fits: ap = 12, w1 = 8953.892, w2 = 8764.953, dw = -0.11451, nw = 1651 140615.0022.ec.fits: ap = 13, w1 = 8816.152, w2 = 8630.122, dw = -0.11275, nw = 1651 140615.0022.ec.fits: ap = 14, w1 = 8682.586, w2 = 8499.377, dw = -0.11104, nw = 1651 140615.0022.ec.fits: ap = 15, w1 = 8553.007, w2 = 8372.535, dw = -0.10938, nw = 1651 140615.0022.ec.fits: ap = 16, w1 = 8427.239, w2 = 8249.423, dw = -0.10777, nw = 1651 140615.0022.ec.fits: ap = 17, w1 = 8305.116, w2 = 8129.879, dw = -0.1062, nw = 1651 140615.0022.ec.fits: ap = 18, w1 = 8186.483, w2 = 8013.751, dw = -0.10469, nw = 1651 140615.0022.ec.fits: ap = 19, w1 = 8071.19, w2 = 7900.894, dw = -0.10321, nw = 1651 140615.0022.ec.fits: ap = 20, w1 = 7959.101, w2 = 7791.171, dw = -0.10178, nw = 1651 140615.0022.ec.fits: ap = 21, w1 = 7850.082, w2 = 7684.455, dw = -0.10038, nw = 1651 140615.0022.ec.fits: ap = 22, w1 = 7744.009, w2 = 7580.623, dw = -0.09902, nw = 1651 140615.0022.ec.fits: ap = 23, w1 = 7640.765, w2 = 7479.56, dw = -0.0977, nw = 1651 140615.0022.ec.fits: ap = 24, w1 = 7540.238, w2 = 7381.156, dw = -0.09641, nw = 1651 140615.0022.ec.fits: ap = 25, w1 = 7442.322, w2 = 7285.308, dw = -0.09516, nw = 1651 140615.0022.ec.fits: ap = 26, w1 = 7346.917, w2 = 7191.918, dw = -0.09394, nw = 1651 140615.0022.ec.fits: ap = 27, w1 = 7253.927, w2 = 7100.892, dw = -0.09275, nw = 1651 140615.0022.ec.fits: ap = 28, w1 = 7163.261, w2 = 7012.142, dw = -0.09159, nw = 1651 140615.0022.ec.fits: ap = 29, w1 = 7074.834, w2 = 6925.583, dw = -0.09046, nw = 1651 140615.0022.ec.fits: ap = 30, w1 = 6988.564, w2 = 6841.136, dw = -0.08935, nw = 1651 140615.0022.ec.fits: ap = 31, w1 = 6904.373, w2 = 6758.723, dw = -0.08827, nw = 1651 140615.0022.ec.fits: ap = 32, w1 = 6822.186, w2 = 6678.272, dw = -0.08722, nw = 1651 140615.0022.ec.fits: ap = 33, w1 = 6741.933, w2 = 6599.715, dw = -0.08619, nw = 1651 140615.0022.ec.fits: ap = 34, w1 = 6663.547, w2 = 6522.984, dw = -0.08519, nw = 1651 140615.0022.ec.fits: ap = 35, w1 = 6586.962, w2 = 6448.017, dw = -0.08421, nw = 1651 140615.0022.ec.fits: ap = 36, w1 = 6512.118, w2 = 6374.755, dw = -0.08325, nw = 1651 140615.0022.ec.fits: ap = 37, w1 = 6438.957, w2 = 6303.138, dw = -0.08231, nw = 1651 140615.0022.ec.fits: ap = 38, w1 = 6367.42, w2 = 6233.113, dw = -0.0814, nw = 1651 140615.0022.ec.fits: ap = 39, w1 = 6297.457, w2 = 6164.628, dw = -0.0805, nw = 1651 140615.0022.ec.fits: ap = 40, w1 = 6229.014, w2 = 6097.631, dw = -0.07963, nw = 1651 140615.0022.ec.fits: ap = 41, w1 = 6162.043, w2 = 6032.075, dw = -0.07877, nw = 1651 140615.0022.ec.fits: ap = 42, w1 = 6096.497, w2 = 5967.913, dw = -0.07793, nw = 1651 140615.0022.ec.fits: ap = 43, w1 = 6032.332, w2 = 5905.103, dw = -0.07711, nw = 1651 140615.0022.ec.fits: ap = 44, w1 = 5969.503, w2 = 5843.601, dw = -0.0763, nw = 1651 140615.0022.ec.fits: ap = 45, w1 = 5907.969, w2 = 5783.368, dw = -0.07552, nw = 1651 140615.0022.ec.fits: ap = 46, w1 = 5847.692, w2 = 5724.364, dw = -0.07474, nw = 1651 140615.0022.ec.fits: ap = 47, w1 = 5788.632, w2 = 5666.551, dw = -0.07399, nw = 1651 140615.0022.ec.fits: ap = 48, w1 = 5730.754, w2 = 5609.896, dw = -0.07325, nw = 1651 140615.0022.ec.fits: ap = 49, w1 = 5674.021, w2 = 5554.362, dw = -0.07252, nw = 1651 140615.0022.ec.fits: ap = 50, w1 = 5618.402, w2 = 5499.917, dw = -0.07181, nw = 1651 140615.0022.ec.fits: ap = 51, w1 = 5563.862, w2 = 5446.529, dw = -0.07111, nw = 1651 140615.0022.ec.fits: ap = 52, w1 = 5510.372, w2 = 5394.169, dw = -0.07043, nw = 1651 140615.0022.ec.fits: ap = 53, w1 = 5457.9, w2 = 5342.805, dw = -0.06975, nw = 1651 140615.0022.ec.fits: ap = 54, w1 = 5406.419, w2 = 5292.411, dw = -0.0691, nw = 1651 140615.0022.ec.fits: ap = 55, w1 = 5355.9, w2 = 5242.959, dw = -0.06845, nw = 1651 140615.0022.ec.fits: ap = 56, w1 = 5306.316, w2 = 5194.423, dw = -0.06781, nw = 1651 140615.0022.ec.fits: ap = 57, w1 = 5257.643, w2 = 5146.778, dw = -0.06719, nw = 1651 140615.0022.ec.fits: ap = 58, w1 = 5209.854, w2 = 5099.998, dw = -0.06658, nw = 1651 140615.0022.ec.fits: ap = 59, w1 = 5162.927, w2 = 5054.062, dw = -0.06598, nw = 1651 140615.0022.ec.fits: ap = 60, w1 = 5116.838, w2 = 5008.947, dw = -0.06539, nw = 1651 140615.0022.ec.fits: ap = 61, w1 = 5071.565, w2 = 4964.629, dw = -0.06481, nw = 1651 140615.0022.ec.fits: ap = 62, w1 = 5027.086, w2 = 4921.09, dw = -0.06424, nw = 1651 140615.0022.ec.fits: ap = 63, w1 = 4983.381, w2 = 4878.308, dw = -0.06368, nw = 1651 140615.0022.ec.fits: ap = 64, w1 = 4940.429, w2 = 4836.263, dw = -0.06313, nw = 1651 140615.0022.ec.fits: ap = 65, w1 = 4898.212, w2 = 4794.937, dw = -0.06259, nw = 1651 140615.0022.ec.fits: ap = 66, w1 = 4856.711, w2 = 4754.312, dw = -0.06206, nw = 1651 140615.0022.ec.fits: ap = 67, w1 = 4815.907, w2 = 4714.37, dw = -0.06154, nw = 1651 140615.0022.ec.fits: ap = 68, w1 = 4775.784, w2 = 4675.094, dw = -0.06102, nw = 1651 140615.0022.ec.fits: ap = 69, w1 = 4736.323, w2 = 4636.466, dw = -0.06052, nw = 1651 140615.0022.ec.fits: ap = 70, w1 = 4697.51, w2 = 4598.473, dw = -0.06002, nw = 1651 140615.0022.ec.fits: ap = 71, w1 = 4659.328, w2 = 4561.097, dw = -0.05953, nw = 1651 140615.0022.ec.fits: ap = 72, w1 = 4621.762, w2 = 4524.324, dw = -0.05905, nw = 1651 140615.0022.ec.fits: ap = 73, w1 = 4584.797, w2 = 4488.139, dw = -0.05858, nw = 1651 140615.0022.ec.fits: ap = 74, w1 = 4548.42, w2 = 4452.529, dw = -0.05812, nw = 1651 140615.0022.ec.fits: ap = 75, w1 = 4512.615, w2 = 4417.48, dw = -0.05766, nw = 1651 140615.0022.ec.fits: ap = 76, w1 = 4477.369, w2 = 4382.979, dw = -0.05721, nw = 1651 140615.0022.ec.fits: ap = 77, w1 = 4442.671, w2 = 4349.012, dw = -0.05676, nw = 1651 140615.0022.ec.fits: ap = 78, w1 = 4408.506, w2 = 4315.569, dw = -0.05633, nw = 1651 140615.0022.ec.fits: ap = 79, w1 = 4374.863, w2 = 4282.635, dw = -0.0559, nw = 1651 140615.0022.ec.fits: ap = 80, w1 = 4341.729, w2 = 4250.201, dw = -0.05547, nw = 1651 140615.0022.ec.fits: ap = 81, w1 = 4309.095, w2 = 4218.255, dw = -0.05505, nw = 1651 140615.0022.ec.fits: ap = 82, w1 = 4276.947, w2 = 4186.786, dw = -0.05464, nw = 1651 140615.0022.ec.fits: ap = 83, w1 = 4245.276, w2 = 4155.783, dw = -0.05424, nw = 1651 140615.0022.ec.fits: ap = 84, w1 = 4214.07, w2 = 4125.236, dw = -0.05384, nw = 1651 140615.0022.ec.fits: ap = 85, w1 = 4183.321, w2 = 4095.135, dw = -0.05345, nw = 1651 140615.0022.ec.fits: ap = 86, w1 = 4153.017, w2 = 4065.471, dw = -0.05306, nw = 1651 140615.0022.ec.fits: ap = 87, w1 = 4123.149, w2 = 4036.233, dw = -0.05268, nw = 1651 140615.0022.ec.fits: ap = 88, w1 = 4093.708, w2 = 4007.413, dw = -0.0523, nw = 1651 140615.0022.ec.fits: ap = 89, w1 = 4064.685, w2 = 3979.002, dw = -0.05193, nw = 1651 140615.0022.ec.fits: ap = 90, w1 = 4036.071, w2 = 3950.991, dw = -0.05156, nw = 1651 140615.0022.ec.fits: ap = 91, w1 = 4007.856, w2 = 3923.372, dw = -0.0512, nw = 1651 140615.0022.ec.fits: ap = 92, w1 = 3980.034, w2 = 3896.137, dw = -0.05085, nw = 1651 140615.0022.ec.fits: ap = 93, w1 = 3952.596, w2 = 3869.277, dw = -0.0505, nw = 1651 140615.0022.ec.fits: ap = 94, w1 = 3925.534, w2 = 3842.786, dw = -0.05015, nw = 1651 140615.0022.ec.fits: ap = 95, w1 = 3898.84, w2 = 3816.655, dw = -0.04981, nw = 1651 140615.0022.ec.fits: ap = 96, w1 = 3872.507, w2 = 3790.877, dw = -0.04947, nw = 1651 140615.0022.ec.fits: ap = 97, w1 = 3846.527, w2 = 3765.445, dw = -0.04914, nw = 1651 140615.0022.ec.fits: ap = 98, w1 = 3820.894, w2 = 3740.352, dw = -0.04881, nw = 1651 140615.0022.ec.fits: ap = 99, w1 = 3795.6, w2 = 3715.592, dw = -0.04849, nw = 1651 140615.0022.ec.fits: ap = 100, w1 = 3770.64, w2 = 3691.158, dw = -0.04817, nw = 1651 140615.0022.ec.fits: ap = 101, w1 = 3746.005, w2 = 3667.043, dw = -0.04786, nw = 1651 140615.0022.ec.fits: ap = 102, w1 = 3721.691, w2 = 3643.241, dw = -0.04755, nw = 1651 140615.0022.ec.fits: ap = 103, w1 = 3697.69, w2 = 3619.746, dw = -0.04724, nw = 1651 140615.0022.ec.fits: ap = 104, w1 = 3673.998, w2 = 3596.553, dw = -0.04694, nw = 1651 140615.0022.ec.fits: ap = 105, w1 = 3650.607, w2 = 3573.655, dw = -0.04664, nw = 1651 140615.0022.ec.fits: ap = 106, w1 = 3627.512, w2 = 3551.047, dw = -0.04634, nw = 1651 140615.0022.ec.fits: ap = 107, w1 = 3604.708, w2 = 3528.724, dw = -0.04605, nw = 1651 140615.0022.ec.fits: ap = 108, w1 = 3582.189, w2 = 3506.679, dw = -0.04576, nw = 1651 140615.0022.ec.fits: ap = 109, w1 = 3559.95, w2 = 3484.909, dw = -0.04548, nw = 1651 140615.0022.ec.fits: ap = 110, w1 = 3537.985, w2 = 3463.407, dw = -0.0452, nw = 1651 140615.0022.ec.fits: ap = 111, w1 = 3516.29, w2 = 3442.169, dw = -0.04492, nw = 1651 140615.0022.ec.fits: ap = 112, w1 = 3494.859, w2 = 3421.19, dw = -0.04465, nw = 1651 140615.0022.ec.fits: ap = 113, w1 = 3473.689, w2 = 3400.465, dw = -0.04438, nw = 1651 140615.0022.ec.fits: ap = 114, w1 = 3452.773, w2 = 3379.99, dw = -0.04411, nw = 1651 140615.0022.ec.fits: ap = 115, w1 = 3432.108, w2 = 3359.76, dw = -0.04385, nw = 1651 140615.0024.ec.fits: REFSPEC1 = 'EchelleThAr.0023.ec 0.73817873' 140615.0024.ec.fits: REFSPEC2 = 'EchelleThAr.0026.ec 0.2618213' 140615.0024.ec.fits: ap = 1, w1 = 10812.05, w2 = 10583.88, dw = -0.13829, nw = 1651 140615.0024.ec.fits: ap = 2, w1 = 10611.85, w2 = 10387.9, dw = -0.13573, nw = 1651 140615.0024.ec.fits: ap = 3, w1 = 10418.92, w2 = 10199.05, dw = -0.13326, nw = 1651 140615.0024.ec.fits: ap = 4, w1 = 10232.89, w2 = 10016.94, dw = -0.13088, nw = 1651 140615.0024.ec.fits: ap = 5, w1 = 10053.38, w2 = 9841.222, dw = -0.12858, nw = 1651 140615.0024.ec.fits: ap = 6, w1 = 9880.062, w2 = 9671.563, dw = -0.12636, nw = 1651 140615.0024.ec.fits: ap = 7, w1 = 9712.618, w2 = 9507.655, dw = -0.12422, nw = 1651 140615.0024.ec.fits: ap = 8, w1 = 9550.756, w2 = 9349.21, dw = -0.12215, nw = 1651 140615.0024.ec.fits: ap = 9, w1 = 9394.2, w2 = 9195.961, dw = -0.12015, nw = 1651 140615.0024.ec.fits: ap = 10, w1 = 9242.694, w2 = 9047.654, dw = -0.11821, nw = 1651 140615.0024.ec.fits: ap = 11, w1 = 9095.998, w2 = 8904.056, dw = -0.11633, nw = 1651 140615.0024.ec.fits: ap = 12, w1 = 8953.886, w2 = 8764.945, dw = -0.11451, nw = 1651 140615.0024.ec.fits: ap = 13, w1 = 8816.145, w2 = 8630.113, dw = -0.11275, nw = 1651 140615.0024.ec.fits: ap = 14, w1 = 8682.579, w2 = 8499.368, dw = -0.11104, nw = 1651 140615.0024.ec.fits: ap = 15, w1 = 8553., w2 = 8372.526, dw = -0.10938, nw = 1651 140615.0024.ec.fits: ap = 16, w1 = 8427.232, w2 = 8249.414, dw = -0.10777, nw = 1651 140615.0024.ec.fits: ap = 17, w1 = 8305.109, w2 = 8129.87, dw = -0.10621, nw = 1651 140615.0024.ec.fits: ap = 18, w1 = 8186.475, w2 = 8013.742, dw = -0.10469, nw = 1651 140615.0024.ec.fits: ap = 19, w1 = 8071.183, w2 = 7900.885, dw = -0.10321, nw = 1651 140615.0024.ec.fits: ap = 20, w1 = 7959.093, w2 = 7791.163, dw = -0.10178, nw = 1651 140615.0024.ec.fits: ap = 21, w1 = 7850.074, w2 = 7684.447, dw = -0.10038, nw = 1651 140615.0024.ec.fits: ap = 22, w1 = 7744.002, w2 = 7580.615, dw = -0.09902, nw = 1651 140615.0024.ec.fits: ap = 23, w1 = 7640.758, w2 = 7479.552, dw = -0.0977, nw = 1651 140615.0024.ec.fits: ap = 24, w1 = 7540.231, w2 = 7381.148, dw = -0.09641, nw = 1651 140615.0024.ec.fits: ap = 25, w1 = 7442.315, w2 = 7285.301, dw = -0.09516, nw = 1651 140615.0024.ec.fits: ap = 26, w1 = 7346.909, w2 = 7191.91, dw = -0.09394, nw = 1651 140615.0024.ec.fits: ap = 27, w1 = 7253.919, w2 = 7100.885, dw = -0.09275, nw = 1651 140615.0024.ec.fits: ap = 28, w1 = 7163.254, w2 = 7012.135, dw = -0.09159, nw = 1651 140615.0024.ec.fits: ap = 29, w1 = 7074.827, w2 = 6925.576, dw = -0.09046, nw = 1651 140615.0024.ec.fits: ap = 30, w1 = 6988.557, w2 = 6841.128, dw = -0.08935, nw = 1651 140615.0024.ec.fits: ap = 31, w1 = 6904.366, w2 = 6758.716, dw = -0.08827, nw = 1651 140615.0024.ec.fits: ap = 32, w1 = 6822.179, w2 = 6678.265, dw = -0.08722, nw = 1651 140615.0024.ec.fits: ap = 33, w1 = 6741.926, w2 = 6599.708, dw = -0.08619, nw = 1651 140615.0024.ec.fits: ap = 34, w1 = 6663.54, w2 = 6522.977, dw = -0.08519, nw = 1651 140615.0024.ec.fits: ap = 35, w1 = 6586.956, w2 = 6448.011, dw = -0.08421, nw = 1651 140615.0024.ec.fits: ap = 36, w1 = 6512.112, w2 = 6374.748, dw = -0.08325, nw = 1651 140615.0024.ec.fits: ap = 37, w1 = 6438.95, w2 = 6303.132, dw = -0.08231, nw = 1651 140615.0024.ec.fits: ap = 38, w1 = 6367.414, w2 = 6233.107, dw = -0.0814, nw = 1651 140615.0024.ec.fits: ap = 39, w1 = 6297.45, w2 = 6164.621, dw = -0.0805, nw = 1651 140615.0024.ec.fits: ap = 40, w1 = 6229.008, w2 = 6097.625, dw = -0.07963, nw = 1651 140615.0024.ec.fits: ap = 41, w1 = 6162.037, w2 = 6032.069, dw = -0.07877, nw = 1651 140615.0024.ec.fits: ap = 42, w1 = 6096.491, w2 = 5967.907, dw = -0.07793, nw = 1651 140615.0024.ec.fits: ap = 43, w1 = 6032.325, w2 = 5905.097, dw = -0.07711, nw = 1651 140615.0024.ec.fits: ap = 44, w1 = 5969.496, w2 = 5843.595, dw = -0.0763, nw = 1651 140615.0024.ec.fits: ap = 45, w1 = 5907.963, w2 = 5783.362, dw = -0.07552, nw = 1651 140615.0024.ec.fits: ap = 46, w1 = 5847.686, w2 = 5724.358, dw = -0.07474, nw = 1651 140615.0024.ec.fits: ap = 47, w1 = 5788.626, w2 = 5666.546, dw = -0.07399, nw = 1651 140615.0024.ec.fits: ap = 48, w1 = 5730.748, w2 = 5609.89, dw = -0.07325, nw = 1651 140615.0024.ec.fits: ap = 49, w1 = 5674.016, w2 = 5554.356, dw = -0.07252, nw = 1651 140615.0024.ec.fits: ap = 50, w1 = 5618.396, w2 = 5499.911, dw = -0.07181, nw = 1651 140615.0024.ec.fits: ap = 51, w1 = 5563.857, w2 = 5446.524, dw = -0.07111, nw = 1651 140615.0024.ec.fits: ap = 52, w1 = 5510.366, w2 = 5394.163, dw = -0.07043, nw = 1651 140615.0024.ec.fits: ap = 53, w1 = 5457.895, w2 = 5342.8, dw = -0.06975, nw = 1651 140615.0024.ec.fits: ap = 54, w1 = 5406.413, w2 = 5292.406, dw = -0.0691, nw = 1651 140615.0024.ec.fits: ap = 55, w1 = 5355.894, w2 = 5242.954, dw = -0.06845, nw = 1651 140615.0024.ec.fits: ap = 56, w1 = 5306.311, w2 = 5194.418, dw = -0.06781, nw = 1651 140615.0024.ec.fits: ap = 57, w1 = 5257.637, w2 = 5146.772, dw = -0.06719, nw = 1651 140615.0024.ec.fits: ap = 58, w1 = 5209.849, w2 = 5099.993, dw = -0.06658, nw = 1651 140615.0024.ec.fits: ap = 59, w1 = 5162.922, w2 = 5054.057, dw = -0.06598, nw = 1651 140615.0024.ec.fits: ap = 60, w1 = 5116.833, w2 = 5008.942, dw = -0.06539, nw = 1651 140615.0024.ec.fits: ap = 61, w1 = 5071.56, w2 = 4964.625, dw = -0.06481, nw = 1651 140615.0024.ec.fits: ap = 62, w1 = 5027.082, w2 = 4921.085, dw = -0.06424, nw = 1651 140615.0024.ec.fits: ap = 63, w1 = 4983.376, w2 = 4878.303, dw = -0.06368, nw = 1651 140615.0024.ec.fits: ap = 64, w1 = 4940.425, w2 = 4836.259, dw = -0.06313, nw = 1651 140615.0024.ec.fits: ap = 65, w1 = 4898.208, w2 = 4794.933, dw = -0.06259, nw = 1651 140615.0024.ec.fits: ap = 66, w1 = 4856.706, w2 = 4754.308, dw = -0.06206, nw = 1651 140615.0024.ec.fits: ap = 67, w1 = 4815.903, w2 = 4714.365, dw = -0.06154, nw = 1651 140615.0024.ec.fits: ap = 68, w1 = 4775.779, w2 = 4675.089, dw = -0.06102, nw = 1651 140615.0024.ec.fits: ap = 69, w1 = 4736.319, w2 = 4636.462, dw = -0.06052, nw = 1651 140615.0024.ec.fits: ap = 70, w1 = 4697.505, w2 = 4598.468, dw = -0.06002, nw = 1651 140615.0024.ec.fits: ap = 71, w1 = 4659.323, w2 = 4561.092, dw = -0.05953, nw = 1651 140615.0024.ec.fits: ap = 72, w1 = 4621.757, w2 = 4524.319, dw = -0.05905, nw = 1651 140615.0024.ec.fits: ap = 73, w1 = 4584.792, w2 = 4488.135, dw = -0.05858, nw = 1651 140615.0024.ec.fits: ap = 74, w1 = 4548.414, w2 = 4452.525, dw = -0.05811, nw = 1651 140615.0024.ec.fits: ap = 75, w1 = 4512.609, w2 = 4417.475, dw = -0.05766, nw = 1651 140615.0024.ec.fits: ap = 76, w1 = 4477.364, w2 = 4382.974, dw = -0.05721, nw = 1651 140615.0024.ec.fits: ap = 77, w1 = 4442.665, w2 = 4349.008, dw = -0.05676, nw = 1651 140615.0024.ec.fits: ap = 78, w1 = 4408.5, w2 = 4315.564, dw = -0.05632, nw = 1651 140615.0024.ec.fits: ap = 79, w1 = 4374.857, w2 = 4282.631, dw = -0.05589, nw = 1651 140615.0024.ec.fits: ap = 80, w1 = 4341.723, w2 = 4250.197, dw = -0.05547, nw = 1651 140615.0024.ec.fits: ap = 81, w1 = 4309.088, w2 = 4218.251, dw = -0.05505, nw = 1651 140615.0024.ec.fits: ap = 82, w1 = 4276.94, w2 = 4186.781, dw = -0.05464, nw = 1651 140615.0024.ec.fits: ap = 83, w1 = 4245.269, w2 = 4155.778, dw = -0.05424, nw = 1651 140615.0024.ec.fits: ap = 84, w1 = 4214.063, w2 = 4125.231, dw = -0.05384, nw = 1651 140615.0024.ec.fits: ap = 85, w1 = 4183.313, w2 = 4095.13, dw = -0.05344, nw = 1651 140615.0024.ec.fits: ap = 86, w1 = 4153.009, w2 = 4065.466, dw = -0.05306, nw = 1651 140615.0024.ec.fits: ap = 87, w1 = 4123.141, w2 = 4036.228, dw = -0.05267, nw = 1651 140615.0024.ec.fits: ap = 88, w1 = 4093.7, w2 = 4007.408, dw = -0.0523, nw = 1651 140615.0024.ec.fits: ap = 89, w1 = 4064.676, w2 = 3978.997, dw = -0.05193, nw = 1651 140615.0024.ec.fits: ap = 90, w1 = 4036.061, w2 = 3950.986, dw = -0.05156, nw = 1651 140615.0024.ec.fits: ap = 91, w1 = 4007.847, w2 = 3923.367, dw = -0.0512, nw = 1651 140615.0024.ec.fits: ap = 92, w1 = 3980.024, w2 = 3896.132, dw = -0.05084, nw = 1651 140615.0024.ec.fits: ap = 93, w1 = 3952.586, w2 = 3869.272, dw = -0.05049, nw = 1651 140615.0024.ec.fits: ap = 94, w1 = 3925.523, w2 = 3842.781, dw = -0.05015, nw = 1651 140615.0024.ec.fits: ap = 95, w1 = 3898.828, w2 = 3816.65, dw = -0.04981, nw = 1651 140615.0024.ec.fits: ap = 96, w1 = 3872.495, w2 = 3790.872, dw = -0.04947, nw = 1651 140615.0024.ec.fits: ap = 97, w1 = 3846.515, w2 = 3765.44, dw = -0.04914, nw = 1651 140615.0024.ec.fits: ap = 98, w1 = 3820.881, w2 = 3740.347, dw = -0.04881, nw = 1651 140615.0024.ec.fits: ap = 99, w1 = 3795.587, w2 = 3715.587, dw = -0.04848, nw = 1651 140615.0024.ec.fits: ap = 100, w1 = 3770.626, w2 = 3691.153, dw = -0.04817, nw = 1651 140615.0024.ec.fits: ap = 101, w1 = 3745.991, w2 = 3667.038, dw = -0.04785, nw = 1651 140615.0024.ec.fits: ap = 102, w1 = 3721.676, w2 = 3643.236, dw = -0.04754, nw = 1651 140615.0024.ec.fits: ap = 103, w1 = 3697.675, w2 = 3619.742, dw = -0.04723, nw = 1651 140615.0024.ec.fits: ap = 104, w1 = 3673.981, w2 = 3596.549, dw = -0.04693, nw = 1651 140615.0024.ec.fits: ap = 105, w1 = 3650.59, w2 = 3573.651, dw = -0.04663, nw = 1651 140615.0024.ec.fits: ap = 106, w1 = 3627.494, w2 = 3551.043, dw = -0.04633, nw = 1651 140615.0024.ec.fits: ap = 107, w1 = 3604.689, w2 = 3528.719, dw = -0.04604, nw = 1651 140615.0024.ec.fits: ap = 108, w1 = 3582.169, w2 = 3506.675, dw = -0.04575, nw = 1651 140615.0024.ec.fits: ap = 109, w1 = 3559.93, w2 = 3484.905, dw = -0.04547, nw = 1651 140615.0024.ec.fits: ap = 110, w1 = 3537.965, w2 = 3463.404, dw = -0.04519, nw = 1651 140615.0024.ec.fits: ap = 111, w1 = 3516.268, w2 = 3442.165, dw = -0.04491, nw = 1651 140615.0024.ec.fits: ap = 112, w1 = 3494.837, w2 = 3421.187, dw = -0.04464, nw = 1651 140615.0024.ec.fits: ap = 113, w1 = 3473.665, w2 = 3400.462, dw = -0.04437, nw = 1651 140615.0024.ec.fits: ap = 114, w1 = 3452.749, w2 = 3379.987, dw = -0.0441, nw = 1651 140615.0024.ec.fits: ap = 115, w1 = 3432.083, w2 = 3359.758, dw = -0.04383, nw = 1651 140615.0025.ec.fits: REFSPEC1 = 'EchelleThAr.0023.ec 0.2667931' 140615.0025.ec.fits: REFSPEC2 = 'EchelleThAr.0026.ec 0.73320687' 140615.0025.ec.fits: ap = 1, w1 = 10812.06, w2 = 10583.88, dw = -0.13829, nw = 1651 140615.0025.ec.fits: ap = 2, w1 = 10611.86, w2 = 10387.9, dw = -0.13573, nw = 1651 140615.0025.ec.fits: ap = 3, w1 = 10418.93, w2 = 10199.05, dw = -0.13326, nw = 1651 140615.0025.ec.fits: ap = 4, w1 = 10232.89, w2 = 10016.94, dw = -0.13088, nw = 1651 140615.0025.ec.fits: ap = 5, w1 = 10053.38, w2 = 9841.219, dw = -0.12858, nw = 1651 140615.0025.ec.fits: ap = 6, w1 = 9880.063, w2 = 9671.559, dw = -0.12637, nw = 1651 140615.0025.ec.fits: ap = 7, w1 = 9712.618, w2 = 9507.65, dw = -0.12422, nw = 1651 140615.0025.ec.fits: ap = 8, w1 = 9550.755, w2 = 9349.205, dw = -0.12215, nw = 1651 140615.0025.ec.fits: ap = 9, w1 = 9394.198, w2 = 9195.955, dw = -0.12015, nw = 1651 140615.0025.ec.fits: ap = 10, w1 = 9242.691, w2 = 9047.648, dw = -0.11821, nw = 1651 140615.0025.ec.fits: ap = 11, w1 = 9095.994, w2 = 8904.049, dw = -0.11633, nw = 1651 140615.0025.ec.fits: ap = 12, w1 = 8953.88, w2 = 8764.937, dw = -0.11451, nw = 1651 140615.0025.ec.fits: ap = 13, w1 = 8816.14, w2 = 8630.105, dw = -0.11275, nw = 1651 140615.0025.ec.fits: ap = 14, w1 = 8682.573, w2 = 8499.36, dw = -0.11104, nw = 1651 140615.0025.ec.fits: ap = 15, w1 = 8552.993, w2 = 8372.517, dw = -0.10938, nw = 1651 140615.0025.ec.fits: ap = 16, w1 = 8427.225, w2 = 8249.405, dw = -0.10777, nw = 1651 140615.0025.ec.fits: ap = 17, w1 = 8305.101, w2 = 8129.861, dw = -0.10621, nw = 1651 140615.0025.ec.fits: ap = 18, w1 = 8186.467, w2 = 8013.733, dw = -0.10469, nw = 1651 140615.0025.ec.fits: ap = 19, w1 = 8071.175, w2 = 7900.876, dw = -0.10321, nw = 1651 140615.0025.ec.fits: ap = 20, w1 = 7959.085, w2 = 7791.154, dw = -0.10178, nw = 1651 140615.0025.ec.fits: ap = 21, w1 = 7850.066, w2 = 7684.437, dw = -0.10038, nw = 1651 140615.0025.ec.fits: ap = 22, w1 = 7743.993, w2 = 7580.605, dw = -0.09902, nw = 1651 140615.0025.ec.fits: ap = 23, w1 = 7640.749, w2 = 7479.542, dw = -0.0977, nw = 1651 140615.0025.ec.fits: ap = 24, w1 = 7540.222, w2 = 7381.139, dw = -0.09641, nw = 1651 140615.0025.ec.fits: ap = 25, w1 = 7442.306, w2 = 7285.291, dw = -0.09516, nw = 1651 140615.0025.ec.fits: ap = 26, w1 = 7346.9, w2 = 7191.901, dw = -0.09394, nw = 1651 140615.0025.ec.fits: ap = 27, w1 = 7253.91, w2 = 7100.876, dw = -0.09275, nw = 1651 140615.0025.ec.fits: ap = 28, w1 = 7163.245, w2 = 7012.126, dw = -0.09159, nw = 1651 140615.0025.ec.fits: ap = 29, w1 = 7074.819, w2 = 6925.567, dw = -0.09046, nw = 1651 140615.0025.ec.fits: ap = 30, w1 = 6988.549, w2 = 6841.12, dw = -0.08935, nw = 1651 140615.0025.ec.fits: ap = 31, w1 = 6904.358, w2 = 6758.707, dw = -0.08827, nw = 1651 140615.0025.ec.fits: ap = 32, w1 = 6822.172, w2 = 6678.257, dw = -0.08722, nw = 1651 140615.0025.ec.fits: ap = 33, w1 = 6741.919, w2 = 6599.7, dw = -0.08619, nw = 1651 140615.0025.ec.fits: ap = 34, w1 = 6663.533, w2 = 6522.969, dw = -0.08519, nw = 1651 140615.0025.ec.fits: ap = 35, w1 = 6586.949, w2 = 6448.003, dw = -0.08421, nw = 1651 140615.0025.ec.fits: ap = 36, w1 = 6512.105, w2 = 6374.741, dw = -0.08325, nw = 1651 140615.0025.ec.fits: ap = 37, w1 = 6438.944, w2 = 6303.125, dw = -0.08231, nw = 1651 140615.0025.ec.fits: ap = 38, w1 = 6367.408, w2 = 6233.1, dw = -0.0814, nw = 1651 140615.0025.ec.fits: ap = 39, w1 = 6297.444, w2 = 6164.615, dw = -0.0805, nw = 1651 140615.0025.ec.fits: ap = 40, w1 = 6229.002, w2 = 6097.618, dw = -0.07963, nw = 1651 140615.0025.ec.fits: ap = 41, w1 = 6162.032, w2 = 6032.062, dw = -0.07877, nw = 1651 140615.0025.ec.fits: ap = 42, w1 = 6096.486, w2 = 5967.901, dw = -0.07793, nw = 1651 140615.0025.ec.fits: ap = 43, w1 = 6032.32, w2 = 5905.091, dw = -0.07711, nw = 1651 140615.0025.ec.fits: ap = 44, w1 = 5969.492, w2 = 5843.59, dw = -0.0763, nw = 1651 140615.0025.ec.fits: ap = 45, w1 = 5907.959, w2 = 5783.356, dw = -0.07552, nw = 1651 140615.0025.ec.fits: ap = 46, w1 = 5847.682, w2 = 5724.352, dw = -0.07474, nw = 1651 140615.0025.ec.fits: ap = 47, w1 = 5788.622, w2 = 5666.54, dw = -0.07399, nw = 1651 140615.0025.ec.fits: ap = 48, w1 = 5730.744, w2 = 5609.885, dw = -0.07325, nw = 1651 140615.0025.ec.fits: ap = 49, w1 = 5674.012, w2 = 5554.351, dw = -0.07252, nw = 1651 140615.0025.ec.fits: ap = 50, w1 = 5618.393, w2 = 5499.907, dw = -0.07181, nw = 1651 140615.0025.ec.fits: ap = 51, w1 = 5563.853, w2 = 5446.519, dw = -0.07111, nw = 1651 140615.0025.ec.fits: ap = 52, w1 = 5510.363, w2 = 5394.159, dw = -0.07043, nw = 1651 140615.0025.ec.fits: ap = 53, w1 = 5457.891, w2 = 5342.796, dw = -0.06976, nw = 1651 140615.0025.ec.fits: ap = 54, w1 = 5406.41, w2 = 5292.402, dw = -0.0691, nw = 1651 140615.0025.ec.fits: ap = 55, w1 = 5355.891, w2 = 5242.95, dw = -0.06845, nw = 1651 140615.0025.ec.fits: ap = 56, w1 = 5306.308, w2 = 5194.414, dw = -0.06781, nw = 1651 140615.0025.ec.fits: ap = 57, w1 = 5257.634, w2 = 5146.768, dw = -0.06719, nw = 1651 140615.0025.ec.fits: ap = 58, w1 = 5209.846, w2 = 5099.989, dw = -0.06658, nw = 1651 140615.0025.ec.fits: ap = 59, w1 = 5162.919, w2 = 5054.053, dw = -0.06598, nw = 1651 140615.0025.ec.fits: ap = 60, w1 = 5116.83, w2 = 5008.938, dw = -0.06539, nw = 1651 140615.0025.ec.fits: ap = 61, w1 = 5071.556, w2 = 4964.621, dw = -0.06481, nw = 1651 140615.0025.ec.fits: ap = 62, w1 = 5027.077, w2 = 4921.081, dw = -0.06424, nw = 1651 140615.0025.ec.fits: ap = 63, w1 = 4983.372, w2 = 4878.299, dw = -0.06368, nw = 1651 140615.0025.ec.fits: ap = 64, w1 = 4940.42, w2 = 4836.254, dw = -0.06313, nw = 1651 140615.0025.ec.fits: ap = 65, w1 = 4898.203, w2 = 4794.929, dw = -0.06259, nw = 1651 140615.0025.ec.fits: ap = 66, w1 = 4856.701, w2 = 4754.303, dw = -0.06206, nw = 1651 140615.0025.ec.fits: ap = 67, w1 = 4815.897, w2 = 4714.361, dw = -0.06154, nw = 1651 140615.0025.ec.fits: ap = 68, w1 = 4775.773, w2 = 4675.085, dw = -0.06102, nw = 1651 140615.0025.ec.fits: ap = 69, w1 = 4736.312, w2 = 4636.457, dw = -0.06052, nw = 1651 140615.0025.ec.fits: ap = 70, w1 = 4697.499, w2 = 4598.464, dw = -0.06002, nw = 1651 140615.0025.ec.fits: ap = 71, w1 = 4659.316, w2 = 4561.088, dw = -0.05953, nw = 1651 140615.0025.ec.fits: ap = 72, w1 = 4621.75, w2 = 4524.315, dw = -0.05905, nw = 1651 140615.0025.ec.fits: ap = 73, w1 = 4584.784, w2 = 4488.13, dw = -0.05858, nw = 1651 140615.0025.ec.fits: ap = 74, w1 = 4548.406, w2 = 4452.52, dw = -0.05811, nw = 1651 140615.0025.ec.fits: ap = 75, w1 = 4512.6, w2 = 4417.47, dw = -0.05765, nw = 1651 140615.0025.ec.fits: ap = 76, w1 = 4477.354, w2 = 4382.969, dw = -0.0572, nw = 1651 140615.0025.ec.fits: ap = 77, w1 = 4442.655, w2 = 4349.002, dw = -0.05676, nw = 1651 140615.0025.ec.fits: ap = 78, w1 = 4408.489, w2 = 4315.558, dw = -0.05632, nw = 1651 140615.0025.ec.fits: ap = 79, w1 = 4374.845, w2 = 4282.625, dw = -0.05589, nw = 1651 140615.0025.ec.fits: ap = 80, w1 = 4341.711, w2 = 4250.191, dw = -0.05547, nw = 1651 140615.0025.ec.fits: ap = 81, w1 = 4309.075, w2 = 4218.245, dw = -0.05505, nw = 1651 140615.0025.ec.fits: ap = 82, w1 = 4276.926, w2 = 4186.775, dw = -0.05464, nw = 1651 140615.0025.ec.fits: ap = 83, w1 = 4245.254, w2 = 4155.772, dw = -0.05423, nw = 1651 140615.0025.ec.fits: ap = 84, w1 = 4214.048, w2 = 4125.225, dw = -0.05383, nw = 1651 140615.0025.ec.fits: ap = 85, w1 = 4183.297, w2 = 4095.124, dw = -0.05344, nw = 1651 140615.0025.ec.fits: ap = 86, w1 = 4152.992, w2 = 4065.459, dw = -0.05305, nw = 1651 140615.0025.ec.fits: ap = 87, w1 = 4123.123, w2 = 4036.221, dw = -0.05267, nw = 1651 140615.0025.ec.fits: ap = 88, w1 = 4093.68, w2 = 4007.401, dw = -0.05229, nw = 1651 140615.0025.ec.fits: ap = 89, w1 = 4064.656, w2 = 3978.99, dw = -0.05192, nw = 1651 140615.0025.ec.fits: ap = 90, w1 = 4036.04, w2 = 3950.979, dw = -0.05155, nw = 1651 140615.0025.ec.fits: ap = 91, w1 = 4007.824, w2 = 3923.359, dw = -0.05119, nw = 1651 140615.0025.ec.fits: ap = 92, w1 = 3980.001, w2 = 3896.124, dw = -0.05083, nw = 1651 140615.0025.ec.fits: ap = 93, w1 = 3952.561, w2 = 3869.264, dw = -0.05048, nw = 1651 140615.0025.ec.fits: ap = 94, w1 = 3925.497, w2 = 3842.772, dw = -0.05014, nw = 1651 140615.0025.ec.fits: ap = 95, w1 = 3898.801, w2 = 3816.641, dw = -0.04979, nw = 1651 140615.0025.ec.fits: ap = 96, w1 = 3872.466, w2 = 3790.863, dw = -0.04946, nw = 1651 140615.0025.ec.fits: ap = 97, w1 = 3846.485, w2 = 3765.431, dw = -0.04912, nw = 1651 140615.0025.ec.fits: ap = 98, w1 = 3820.85, w2 = 3740.338, dw = -0.0488, nw = 1651 140615.0025.ec.fits: ap = 99, w1 = 3795.554, w2 = 3715.578, dw = -0.04847, nw = 1651 140615.0025.ec.fits: ap = 100, w1 = 3770.592, w2 = 3691.143, dw = -0.04815, nw = 1651 140615.0025.ec.fits: ap = 101, w1 = 3745.956, w2 = 3667.028, dw = -0.04783, nw = 1651 140615.0025.ec.fits: ap = 102, w1 = 3721.639, w2 = 3643.226, dw = -0.04752, nw = 1651 140615.0025.ec.fits: ap = 103, w1 = 3697.637, w2 = 3619.731, dw = -0.04722, nw = 1651 140615.0025.ec.fits: ap = 104, w1 = 3673.942, w2 = 3596.538, dw = -0.04691, nw = 1651 140615.0025.ec.fits: ap = 105, w1 = 3650.549, w2 = 3573.64, dw = -0.04661, nw = 1651 140615.0025.ec.fits: ap = 106, w1 = 3627.452, w2 = 3551.032, dw = -0.04632, nw = 1651 140615.0025.ec.fits: ap = 107, w1 = 3604.645, w2 = 3528.708, dw = -0.04602, nw = 1651 140615.0025.ec.fits: ap = 108, w1 = 3582.124, w2 = 3506.663, dw = -0.04573, nw = 1651 140615.0025.ec.fits: ap = 109, w1 = 3559.882, w2 = 3484.893, dw = -0.04545, nw = 1651 140615.0025.ec.fits: ap = 110, w1 = 3537.915, w2 = 3463.391, dw = -0.04517, nw = 1651 140615.0025.ec.fits: ap = 111, w1 = 3516.217, w2 = 3442.153, dw = -0.04489, nw = 1651 140615.0025.ec.fits: ap = 112, w1 = 3494.784, w2 = 3421.174, dw = -0.04461, nw = 1651 140615.0025.ec.fits: ap = 113, w1 = 3473.611, w2 = 3400.449, dw = -0.04434, nw = 1651 140615.0025.ec.fits: ap = 114, w1 = 3452.693, w2 = 3379.974, dw = -0.04407, nw = 1651 140615.0025.ec.fits: ap = 115, w1 = 3432.025, w2 = 3359.745, dw = -0.04381, nw = 1651 140615.0027.ec.fits: REFSPEC1 = 'EchelleThAr.0026.ec 0.78782755' 140615.0027.ec.fits: REFSPEC2 = 'EchelleThAr.0031.ec 0.21217243' 140615.0027.ec.fits: ap = 1, w1 = 10812.06, w2 = 10583.87, dw = -0.13829, nw = 1651 140615.0027.ec.fits: ap = 2, w1 = 10611.85, w2 = 10387.89, dw = -0.13573, nw = 1651 140615.0027.ec.fits: ap = 3, w1 = 10418.92, w2 = 10199.04, dw = -0.13326, nw = 1651 140615.0027.ec.fits: ap = 4, w1 = 10232.88, w2 = 10016.93, dw = -0.13088, nw = 1651 140615.0027.ec.fits: ap = 5, w1 = 10053.37, w2 = 9841.211, dw = -0.12858, nw = 1651 140615.0027.ec.fits: ap = 6, w1 = 9880.055, w2 = 9671.551, dw = -0.12637, nw = 1651 140615.0027.ec.fits: ap = 7, w1 = 9712.61, w2 = 9507.642, dw = -0.12422, nw = 1651 140615.0027.ec.fits: ap = 8, w1 = 9550.746, w2 = 9349.197, dw = -0.12215, nw = 1651 140615.0027.ec.fits: ap = 9, w1 = 9394.189, w2 = 9195.946, dw = -0.12015, nw = 1651 140615.0027.ec.fits: ap = 10, w1 = 9242.682, w2 = 9047.639, dw = -0.11821, nw = 1651 140615.0027.ec.fits: ap = 11, w1 = 9095.985, w2 = 8904.04, dw = -0.11633, nw = 1651 140615.0027.ec.fits: ap = 12, w1 = 8953.872, w2 = 8764.928, dw = -0.11451, nw = 1651 140615.0027.ec.fits: ap = 13, w1 = 8816.132, w2 = 8630.097, dw = -0.11275, nw = 1651 140615.0027.ec.fits: ap = 14, w1 = 8682.565, w2 = 8499.351, dw = -0.11104, nw = 1651 140615.0027.ec.fits: ap = 15, w1 = 8552.985, w2 = 8372.508, dw = -0.10938, nw = 1651 140615.0027.ec.fits: ap = 16, w1 = 8427.217, w2 = 8249.396, dw = -0.10777, nw = 1651 140615.0027.ec.fits: ap = 17, w1 = 8305.093, w2 = 8129.852, dw = -0.10621, nw = 1651 140615.0027.ec.fits: ap = 18, w1 = 8186.459, w2 = 8013.724, dw = -0.10469, nw = 1651 140615.0027.ec.fits: ap = 19, w1 = 8071.167, w2 = 7900.867, dw = -0.10321, nw = 1651 140615.0027.ec.fits: ap = 20, w1 = 7959.077, w2 = 7791.145, dw = -0.10178, nw = 1651 140615.0027.ec.fits: ap = 21, w1 = 7850.058, w2 = 7684.429, dw = -0.10038, nw = 1651 140615.0027.ec.fits: ap = 22, w1 = 7743.986, w2 = 7580.597, dw = -0.09902, nw = 1651 140615.0027.ec.fits: ap = 23, w1 = 7640.742, w2 = 7479.534, dw = -0.0977, nw = 1651 140615.0027.ec.fits: ap = 24, w1 = 7540.215, w2 = 7381.13, dw = -0.09641, nw = 1651 140615.0027.ec.fits: ap = 25, w1 = 7442.299, w2 = 7285.283, dw = -0.09516, nw = 1651 140615.0027.ec.fits: ap = 26, w1 = 7346.894, w2 = 7191.893, dw = -0.09394, nw = 1651 140615.0027.ec.fits: ap = 27, w1 = 7253.904, w2 = 7100.867, dw = -0.09275, nw = 1651 140615.0027.ec.fits: ap = 28, w1 = 7163.239, w2 = 7012.117, dw = -0.09159, nw = 1651 140615.0027.ec.fits: ap = 29, w1 = 7074.812, w2 = 6925.559, dw = -0.09046, nw = 1651 140615.0027.ec.fits: ap = 30, w1 = 6988.543, w2 = 6841.112, dw = -0.08935, nw = 1651 140615.0027.ec.fits: ap = 31, w1 = 6904.352, w2 = 6758.699, dw = -0.08827, nw = 1651 140615.0027.ec.fits: ap = 32, w1 = 6822.165, w2 = 6678.249, dw = -0.08722, nw = 1651 140615.0027.ec.fits: ap = 33, w1 = 6741.913, w2 = 6599.692, dw = -0.08619, nw = 1651 140615.0027.ec.fits: ap = 34, w1 = 6663.527, w2 = 6522.962, dw = -0.08519, nw = 1651 140615.0027.ec.fits: ap = 35, w1 = 6586.943, w2 = 6447.996, dw = -0.08421, nw = 1651 140615.0027.ec.fits: ap = 36, w1 = 6512.1, w2 = 6374.733, dw = -0.08325, nw = 1651 140615.0027.ec.fits: ap = 37, w1 = 6438.939, w2 = 6303.118, dw = -0.08232, nw = 1651 140615.0027.ec.fits: ap = 38, w1 = 6367.403, w2 = 6233.094, dw = -0.0814, nw = 1651 140615.0027.ec.fits: ap = 39, w1 = 6297.44, w2 = 6164.608, dw = -0.0805, nw = 1651 140615.0027.ec.fits: ap = 40, w1 = 6228.998, w2 = 6097.612, dw = -0.07963, nw = 1651 140615.0027.ec.fits: ap = 41, w1 = 6162.028, w2 = 6032.056, dw = -0.07877, nw = 1651 140615.0027.ec.fits: ap = 42, w1 = 6096.482, w2 = 5967.895, dw = -0.07793, nw = 1651 140615.0027.ec.fits: ap = 43, w1 = 6032.317, w2 = 5905.085, dw = -0.07711, nw = 1651 140615.0027.ec.fits: ap = 44, w1 = 5969.488, w2 = 5843.584, dw = -0.07631, nw = 1651 140615.0027.ec.fits: ap = 45, w1 = 5907.956, w2 = 5783.351, dw = -0.07552, nw = 1651 140615.0027.ec.fits: ap = 46, w1 = 5847.678, w2 = 5724.347, dw = -0.07475, nw = 1651 140615.0027.ec.fits: ap = 47, w1 = 5788.619, w2 = 5666.535, dw = -0.07399, nw = 1651 140615.0027.ec.fits: ap = 48, w1 = 5730.741, w2 = 5609.88, dw = -0.07325, nw = 1651 140615.0027.ec.fits: ap = 49, w1 = 5674.009, w2 = 5554.347, dw = -0.07252, nw = 1651 140615.0027.ec.fits: ap = 50, w1 = 5618.39, w2 = 5499.902, dw = -0.07181, nw = 1651 140615.0027.ec.fits: ap = 51, w1 = 5563.851, w2 = 5446.515, dw = -0.07111, nw = 1651 140615.0027.ec.fits: ap = 52, w1 = 5510.36, w2 = 5394.154, dw = -0.07043, nw = 1651 140615.0027.ec.fits: ap = 53, w1 = 5457.889, w2 = 5342.791, dw = -0.06976, nw = 1651 140615.0027.ec.fits: ap = 54, w1 = 5406.408, w2 = 5292.397, dw = -0.0691, nw = 1651 140615.0027.ec.fits: ap = 55, w1 = 5355.889, w2 = 5242.946, dw = -0.06845, nw = 1651 140615.0027.ec.fits: ap = 56, w1 = 5306.305, w2 = 5194.41, dw = -0.06782, nw = 1651 140615.0027.ec.fits: ap = 57, w1 = 5257.632, w2 = 5146.764, dw = -0.06719, nw = 1651 140615.0027.ec.fits: ap = 58, w1 = 5209.843, w2 = 5099.985, dw = -0.06658, nw = 1651 140615.0027.ec.fits: ap = 59, w1 = 5162.916, w2 = 5054.049, dw = -0.06598, nw = 1651 140615.0027.ec.fits: ap = 60, w1 = 5116.827, w2 = 5008.934, dw = -0.06539, nw = 1651 140615.0027.ec.fits: ap = 61, w1 = 5071.553, w2 = 4964.617, dw = -0.06481, nw = 1651 140615.0027.ec.fits: ap = 62, w1 = 5027.074, w2 = 4921.077, dw = -0.06424, nw = 1651 140615.0027.ec.fits: ap = 63, w1 = 4983.369, w2 = 4878.295, dw = -0.06368, nw = 1651 140615.0027.ec.fits: ap = 64, w1 = 4940.417, w2 = 4836.251, dw = -0.06313, nw = 1651 140615.0027.ec.fits: ap = 65, w1 = 4898.2, w2 = 4794.925, dw = -0.06259, nw = 1651 140615.0027.ec.fits: ap = 66, w1 = 4856.698, w2 = 4754.3, dw = -0.06206, nw = 1651 140615.0027.ec.fits: ap = 67, w1 = 4815.893, w2 = 4714.357, dw = -0.06154, nw = 1651 140615.0027.ec.fits: ap = 68, w1 = 4775.769, w2 = 4675.081, dw = -0.06102, nw = 1651 140615.0027.ec.fits: ap = 69, w1 = 4736.308, w2 = 4636.454, dw = -0.06052, nw = 1651 140615.0027.ec.fits: ap = 70, w1 = 4697.494, w2 = 4598.46, dw = -0.06002, nw = 1651 140615.0027.ec.fits: ap = 71, w1 = 4659.311, w2 = 4561.084, dw = -0.05953, nw = 1651 140615.0027.ec.fits: ap = 72, w1 = 4621.744, w2 = 4524.31, dw = -0.05905, nw = 1651 140615.0027.ec.fits: ap = 73, w1 = 4584.778, w2 = 4488.125, dw = -0.05858, nw = 1651 140615.0027.ec.fits: ap = 74, w1 = 4548.399, w2 = 4452.515, dw = -0.05811, nw = 1651 140615.0027.ec.fits: ap = 75, w1 = 4512.593, w2 = 4417.465, dw = -0.05765, nw = 1651 140615.0027.ec.fits: ap = 76, w1 = 4477.347, w2 = 4382.964, dw = -0.0572, nw = 1651 140615.0027.ec.fits: ap = 77, w1 = 4442.647, w2 = 4348.997, dw = -0.05676, nw = 1651 140615.0027.ec.fits: ap = 78, w1 = 4408.48, w2 = 4315.553, dw = -0.05632, nw = 1651 140615.0027.ec.fits: ap = 79, w1 = 4374.836, w2 = 4282.619, dw = -0.05589, nw = 1651 140615.0027.ec.fits: ap = 80, w1 = 4341.701, w2 = 4250.185, dw = -0.05546, nw = 1651 140615.0027.ec.fits: ap = 81, w1 = 4309.065, w2 = 4218.239, dw = -0.05505, nw = 1651 140615.0027.ec.fits: ap = 82, w1 = 4276.916, w2 = 4186.769, dw = -0.05463, nw = 1651 140615.0027.ec.fits: ap = 83, w1 = 4245.243, w2 = 4155.766, dw = -0.05423, nw = 1651 140615.0027.ec.fits: ap = 84, w1 = 4214.036, w2 = 4125.218, dw = -0.05383, nw = 1651 140615.0027.ec.fits: ap = 85, w1 = 4183.284, w2 = 4095.117, dw = -0.05343, nw = 1651 140615.0027.ec.fits: ap = 86, w1 = 4152.978, w2 = 4065.452, dw = -0.05305, nw = 1651 140615.0027.ec.fits: ap = 87, w1 = 4123.108, w2 = 4036.214, dw = -0.05266, nw = 1651 140615.0027.ec.fits: ap = 88, w1 = 4093.665, w2 = 4007.393, dw = -0.05229, nw = 1651 140615.0027.ec.fits: ap = 89, w1 = 4064.639, w2 = 3978.982, dw = -0.05191, nw = 1651 140615.0027.ec.fits: ap = 90, w1 = 4036.023, w2 = 3950.97, dw = -0.05155, nw = 1651 140615.0027.ec.fits: ap = 91, w1 = 4007.805, w2 = 3923.35, dw = -0.05119, nw = 1651 140615.0027.ec.fits: ap = 92, w1 = 3979.981, w2 = 3896.114, dw = -0.05083, nw = 1651 140615.0027.ec.fits: ap = 93, w1 = 3952.539, w2 = 3869.253, dw = -0.05048, nw = 1651 140615.0027.ec.fits: ap = 94, w1 = 3925.474, w2 = 3842.761, dw = -0.05013, nw = 1651 140615.0027.ec.fits: ap = 95, w1 = 3898.777, w2 = 3816.629, dw = -0.04979, nw = 1651 140615.0027.ec.fits: ap = 96, w1 = 3872.441, w2 = 3790.85, dw = -0.04945, nw = 1651 140615.0027.ec.fits: ap = 97, w1 = 3846.458, w2 = 3765.418, dw = -0.04912, nw = 1651 140615.0027.ec.fits: ap = 98, w1 = 3820.822, w2 = 3740.324, dw = -0.04879, nw = 1651 140615.0027.ec.fits: ap = 99, w1 = 3795.525, w2 = 3715.563, dw = -0.04846, nw = 1651 140615.0027.ec.fits: ap = 100, w1 = 3770.561, w2 = 3691.128, dw = -0.04814, nw = 1651 140615.0027.ec.fits: ap = 101, w1 = 3745.923, w2 = 3667.012, dw = -0.04782, nw = 1651 140615.0027.ec.fits: ap = 102, w1 = 3721.605, w2 = 3643.209, dw = -0.04751, nw = 1651 140615.0027.ec.fits: ap = 103, w1 = 3697.6, w2 = 3619.713, dw = -0.0472, nw = 1651 140615.0027.ec.fits: ap = 104, w1 = 3673.903, w2 = 3596.519, dw = -0.0469, nw = 1651 140615.0027.ec.fits: ap = 105, w1 = 3650.508, w2 = 3573.62, dw = -0.0466, nw = 1651 140615.0027.ec.fits: ap = 106, w1 = 3627.41, w2 = 3551.011, dw = -0.0463, nw = 1651 140615.0027.ec.fits: ap = 107, w1 = 3604.601, w2 = 3528.687, dw = -0.04601, nw = 1651 140615.0027.ec.fits: ap = 108, w1 = 3582.077, w2 = 3506.641, dw = -0.04572, nw = 1651 140615.0027.ec.fits: ap = 109, w1 = 3559.834, w2 = 3484.869, dw = -0.04543, nw = 1651 140615.0027.ec.fits: ap = 110, w1 = 3537.864, w2 = 3463.366, dw = -0.04515, nw = 1651 140615.0027.ec.fits: ap = 111, w1 = 3516.164, w2 = 3442.127, dw = -0.04487, nw = 1651 140615.0027.ec.fits: ap = 112, w1 = 3494.729, w2 = 3421.147, dw = -0.04459, nw = 1651 140615.0027.ec.fits: ap = 113, w1 = 3473.553, w2 = 3400.421, dw = -0.04432, nw = 1651 140615.0027.ec.fits: ap = 114, w1 = 3452.632, w2 = 3379.945, dw = -0.04405, nw = 1651 140615.0027.ec.fits: ap = 115, w1 = 3431.962, w2 = 3359.714, dw = -0.04379, nw = 1651 140615.0028.ec.fits: REFSPEC1 = 'EchelleThAr.0026.ec 0.44181126' 140615.0028.ec.fits: REFSPEC2 = 'EchelleThAr.0031.ec 0.55818874' 140615.0028.ec.fits: ap = 1, w1 = 10812.03, w2 = 10583.86, dw = -0.13828, nw = 1651 140615.0028.ec.fits: ap = 2, w1 = 10611.83, w2 = 10387.88, dw = -0.13572, nw = 1651 140615.0028.ec.fits: ap = 3, w1 = 10418.9, w2 = 10199.03, dw = -0.13326, nw = 1651 140615.0028.ec.fits: ap = 4, w1 = 10232.87, w2 = 10016.92, dw = -0.13088, nw = 1651 140615.0028.ec.fits: ap = 5, w1 = 10053.36, w2 = 9841.202, dw = -0.12858, nw = 1651 140615.0028.ec.fits: ap = 6, w1 = 9880.04, w2 = 9671.543, dw = -0.12636, nw = 1651 140615.0028.ec.fits: ap = 7, w1 = 9712.596, w2 = 9507.634, dw = -0.12422, nw = 1651 140615.0028.ec.fits: ap = 8, w1 = 9550.734, w2 = 9349.189, dw = -0.12215, nw = 1651 140615.0028.ec.fits: ap = 9, w1 = 9394.179, w2 = 9195.939, dw = -0.12014, nw = 1651 140615.0028.ec.fits: ap = 10, w1 = 9242.673, w2 = 9047.633, dw = -0.11821, nw = 1651 140615.0028.ec.fits: ap = 11, w1 = 9095.977, w2 = 8904.034, dw = -0.11633, nw = 1651 140615.0028.ec.fits: ap = 12, w1 = 8953.864, w2 = 8764.923, dw = -0.11451, nw = 1651 140615.0028.ec.fits: ap = 13, w1 = 8816.125, w2 = 8630.091, dw = -0.11275, nw = 1651 140615.0028.ec.fits: ap = 14, w1 = 8682.559, w2 = 8499.346, dw = -0.11104, nw = 1651 140615.0028.ec.fits: ap = 15, w1 = 8552.98, w2 = 8372.503, dw = -0.10938, nw = 1651 140615.0028.ec.fits: ap = 16, w1 = 8427.212, w2 = 8249.391, dw = -0.10777, nw = 1651 140615.0028.ec.fits: ap = 17, w1 = 8305.089, w2 = 8129.848, dw = -0.10621, nw = 1651 140615.0028.ec.fits: ap = 18, w1 = 8186.455, w2 = 8013.719, dw = -0.10469, nw = 1651 140615.0028.ec.fits: ap = 19, w1 = 8071.163, w2 = 7900.862, dw = -0.10321, nw = 1651 140615.0028.ec.fits: ap = 20, w1 = 7959.074, w2 = 7791.14, dw = -0.10178, nw = 1651 140615.0028.ec.fits: ap = 21, w1 = 7850.055, w2 = 7684.424, dw = -0.10038, nw = 1651 140615.0028.ec.fits: ap = 22, w1 = 7743.983, w2 = 7580.592, dw = -0.09902, nw = 1651 140615.0028.ec.fits: ap = 23, w1 = 7640.739, w2 = 7479.529, dw = -0.0977, nw = 1651 140615.0028.ec.fits: ap = 24, w1 = 7540.212, w2 = 7381.126, dw = -0.09642, nw = 1651 140615.0028.ec.fits: ap = 25, w1 = 7442.297, w2 = 7285.279, dw = -0.09516, nw = 1651 140615.0028.ec.fits: ap = 26, w1 = 7346.892, w2 = 7191.889, dw = -0.09394, nw = 1651 140615.0028.ec.fits: ap = 27, w1 = 7253.902, w2 = 7100.863, dw = -0.09275, nw = 1651 140615.0028.ec.fits: ap = 28, w1 = 7163.237, w2 = 7012.113, dw = -0.09159, nw = 1651 140615.0028.ec.fits: ap = 29, w1 = 7074.811, w2 = 6925.555, dw = -0.09046, nw = 1651 140615.0028.ec.fits: ap = 30, w1 = 6988.541, w2 = 6841.108, dw = -0.08935, nw = 1651 140615.0028.ec.fits: ap = 31, w1 = 6904.35, w2 = 6758.695, dw = -0.08828, nw = 1651 140615.0028.ec.fits: ap = 32, w1 = 6822.164, w2 = 6678.245, dw = -0.08722, nw = 1651 140615.0028.ec.fits: ap = 33, w1 = 6741.912, w2 = 6599.688, dw = -0.0862, nw = 1651 140615.0028.ec.fits: ap = 34, w1 = 6663.526, w2 = 6522.958, dw = -0.08519, nw = 1651 140615.0028.ec.fits: ap = 35, w1 = 6586.942, w2 = 6447.992, dw = -0.08421, nw = 1651 140615.0028.ec.fits: ap = 36, w1 = 6512.098, w2 = 6374.729, dw = -0.08325, nw = 1651 140615.0028.ec.fits: ap = 37, w1 = 6438.937, w2 = 6303.114, dw = -0.08232, nw = 1651 140615.0028.ec.fits: ap = 38, w1 = 6367.402, w2 = 6233.09, dw = -0.0814, nw = 1651 140615.0028.ec.fits: ap = 39, w1 = 6297.439, w2 = 6164.604, dw = -0.08051, nw = 1651 140615.0028.ec.fits: ap = 40, w1 = 6228.996, w2 = 6097.608, dw = -0.07963, nw = 1651 140615.0028.ec.fits: ap = 41, w1 = 6162.026, w2 = 6032.052, dw = -0.07877, nw = 1651 140615.0028.ec.fits: ap = 42, w1 = 6096.481, w2 = 5967.892, dw = -0.07793, nw = 1651 140615.0028.ec.fits: ap = 43, w1 = 6032.316, w2 = 5905.082, dw = -0.07711, nw = 1651 140615.0028.ec.fits: ap = 44, w1 = 5969.487, w2 = 5843.581, dw = -0.07631, nw = 1651 140615.0028.ec.fits: ap = 45, w1 = 5907.954, w2 = 5783.348, dw = -0.07552, nw = 1651 140615.0028.ec.fits: ap = 46, w1 = 5847.677, w2 = 5724.344, dw = -0.07475, nw = 1651 140615.0028.ec.fits: ap = 47, w1 = 5788.618, w2 = 5666.532, dw = -0.07399, nw = 1651 140615.0028.ec.fits: ap = 48, w1 = 5730.74, w2 = 5609.877, dw = -0.07325, nw = 1651 140615.0028.ec.fits: ap = 49, w1 = 5674.008, w2 = 5554.343, dw = -0.07252, nw = 1651 140615.0028.ec.fits: ap = 50, w1 = 5618.389, w2 = 5499.899, dw = -0.07181, nw = 1651 140615.0028.ec.fits: ap = 51, w1 = 5563.849, w2 = 5446.512, dw = -0.07111, nw = 1651 140615.0028.ec.fits: ap = 52, w1 = 5510.359, w2 = 5394.151, dw = -0.07043, nw = 1651 140615.0028.ec.fits: ap = 53, w1 = 5457.888, w2 = 5342.788, dw = -0.06976, nw = 1651 140615.0028.ec.fits: ap = 54, w1 = 5406.406, w2 = 5292.395, dw = -0.0691, nw = 1651 140615.0028.ec.fits: ap = 55, w1 = 5355.888, w2 = 5242.943, dw = -0.06845, nw = 1651 140615.0028.ec.fits: ap = 56, w1 = 5306.304, w2 = 5194.407, dw = -0.06782, nw = 1651 140615.0028.ec.fits: ap = 57, w1 = 5257.631, w2 = 5146.762, dw = -0.06719, nw = 1651 140615.0028.ec.fits: ap = 58, w1 = 5209.842, w2 = 5099.983, dw = -0.06658, nw = 1651 140615.0028.ec.fits: ap = 59, w1 = 5162.915, w2 = 5054.047, dw = -0.06598, nw = 1651 140615.0028.ec.fits: ap = 60, w1 = 5116.826, w2 = 5008.931, dw = -0.06539, nw = 1651 140615.0028.ec.fits: ap = 61, w1 = 5071.553, w2 = 4964.614, dw = -0.06481, nw = 1651 140615.0028.ec.fits: ap = 62, w1 = 5027.073, w2 = 4921.075, dw = -0.06424, nw = 1651 140615.0028.ec.fits: ap = 63, w1 = 4983.368, w2 = 4878.293, dw = -0.06368, nw = 1651 140615.0028.ec.fits: ap = 64, w1 = 4940.416, w2 = 4836.248, dw = -0.06313, nw = 1651 140615.0028.ec.fits: ap = 65, w1 = 4898.199, w2 = 4794.923, dw = -0.06259, nw = 1651 140615.0028.ec.fits: ap = 66, w1 = 4856.697, w2 = 4754.297, dw = -0.06206, nw = 1651 140615.0028.ec.fits: ap = 67, w1 = 4815.892, w2 = 4714.355, dw = -0.06154, nw = 1651 140615.0028.ec.fits: ap = 68, w1 = 4775.768, w2 = 4675.079, dw = -0.06102, nw = 1651 140615.0028.ec.fits: ap = 69, w1 = 4736.307, w2 = 4636.451, dw = -0.06052, nw = 1651 140615.0028.ec.fits: ap = 70, w1 = 4697.493, w2 = 4598.457, dw = -0.06002, nw = 1651 140615.0028.ec.fits: ap = 71, w1 = 4659.31, w2 = 4561.081, dw = -0.05953, nw = 1651 140615.0028.ec.fits: ap = 72, w1 = 4621.742, w2 = 4524.307, dw = -0.05905, nw = 1651 140615.0028.ec.fits: ap = 73, w1 = 4584.776, w2 = 4488.123, dw = -0.05858, nw = 1651 140615.0028.ec.fits: ap = 74, w1 = 4548.397, w2 = 4452.512, dw = -0.05811, nw = 1651 140615.0028.ec.fits: ap = 75, w1 = 4512.591, w2 = 4417.463, dw = -0.05765, nw = 1651 140615.0028.ec.fits: ap = 76, w1 = 4477.344, w2 = 4382.961, dw = -0.0572, nw = 1651 140615.0028.ec.fits: ap = 77, w1 = 4442.644, w2 = 4348.994, dw = -0.05676, nw = 1651 140615.0028.ec.fits: ap = 78, w1 = 4408.477, w2 = 4315.55, dw = -0.05632, nw = 1651 140615.0028.ec.fits: ap = 79, w1 = 4374.833, w2 = 4282.616, dw = -0.05589, nw = 1651 140615.0028.ec.fits: ap = 80, w1 = 4341.698, w2 = 4250.181, dw = -0.05546, nw = 1651 140615.0028.ec.fits: ap = 81, w1 = 4309.061, w2 = 4218.235, dw = -0.05505, nw = 1651 140615.0028.ec.fits: ap = 82, w1 = 4276.911, w2 = 4186.765, dw = -0.05463, nw = 1651 140615.0028.ec.fits: ap = 83, w1 = 4245.238, w2 = 4155.761, dw = -0.05423, nw = 1651 140615.0028.ec.fits: ap = 84, w1 = 4214.03, w2 = 4125.213, dw = -0.05383, nw = 1651 140615.0028.ec.fits: ap = 85, w1 = 4183.278, w2 = 4095.111, dw = -0.05343, nw = 1651 140615.0028.ec.fits: ap = 86, w1 = 4152.971, w2 = 4065.446, dw = -0.05305, nw = 1651 140615.0028.ec.fits: ap = 87, w1 = 4123.101, w2 = 4036.207, dw = -0.05266, nw = 1651 140615.0028.ec.fits: ap = 88, w1 = 4093.657, w2 = 4007.386, dw = -0.05229, nw = 1651 140615.0028.ec.fits: ap = 89, w1 = 4064.63, w2 = 3978.974, dw = -0.05191, nw = 1651 140615.0028.ec.fits: ap = 90, w1 = 4036.013, w2 = 3950.962, dw = -0.05155, nw = 1651 140615.0028.ec.fits: ap = 91, w1 = 4007.795, w2 = 3923.341, dw = -0.05118, nw = 1651 140615.0028.ec.fits: ap = 92, w1 = 3979.969, w2 = 3896.105, dw = -0.05083, nw = 1651 140615.0028.ec.fits: ap = 93, w1 = 3952.527, w2 = 3869.244, dw = -0.05048, nw = 1651 140615.0028.ec.fits: ap = 94, w1 = 3925.461, w2 = 3842.75, dw = -0.05013, nw = 1651 140615.0028.ec.fits: ap = 95, w1 = 3898.763, w2 = 3816.618, dw = -0.04979, nw = 1651 140615.0028.ec.fits: ap = 96, w1 = 3872.426, w2 = 3790.838, dw = -0.04945, nw = 1651 140615.0028.ec.fits: ap = 97, w1 = 3846.442, w2 = 3765.405, dw = -0.04911, nw = 1651 140615.0028.ec.fits: ap = 98, w1 = 3820.804, w2 = 3740.31, dw = -0.04878, nw = 1651 140615.0028.ec.fits: ap = 99, w1 = 3795.506, w2 = 3715.548, dw = -0.04846, nw = 1651 140615.0028.ec.fits: ap = 100, w1 = 3770.54, w2 = 3691.112, dw = -0.04814, nw = 1651 140615.0028.ec.fits: ap = 101, w1 = 3745.901, w2 = 3666.995, dw = -0.04782, nw = 1651 140615.0028.ec.fits: ap = 102, w1 = 3721.582, w2 = 3643.191, dw = -0.04751, nw = 1651 140615.0028.ec.fits: ap = 103, w1 = 3697.576, w2 = 3619.694, dw = -0.0472, nw = 1651 140615.0028.ec.fits: ap = 104, w1 = 3673.877, w2 = 3596.499, dw = -0.0469, nw = 1651 140615.0028.ec.fits: ap = 105, w1 = 3650.481, w2 = 3573.599, dw = -0.0466, nw = 1651 140615.0028.ec.fits: ap = 106, w1 = 3627.38, w2 = 3550.988, dw = -0.0463, nw = 1651 140615.0028.ec.fits: ap = 107, w1 = 3604.57, w2 = 3528.662, dw = -0.046, nw = 1651 140615.0028.ec.fits: ap = 108, w1 = 3582.044, w2 = 3506.615, dw = -0.04571, nw = 1651 140615.0028.ec.fits: ap = 109, w1 = 3559.798, w2 = 3484.842, dw = -0.04543, nw = 1651 140615.0028.ec.fits: ap = 110, w1 = 3537.827, w2 = 3463.338, dw = -0.04515, nw = 1651 140615.0028.ec.fits: ap = 111, w1 = 3516.125, w2 = 3442.097, dw = -0.04487, nw = 1651 140615.0028.ec.fits: ap = 112, w1 = 3494.687, w2 = 3421.115, dw = -0.04459, nw = 1651 140615.0028.ec.fits: ap = 113, w1 = 3473.509, w2 = 3400.388, dw = -0.04432, nw = 1651 140615.0028.ec.fits: ap = 114, w1 = 3452.586, w2 = 3379.91, dw = -0.04405, nw = 1651 140615.0028.ec.fits: ap = 115, w1 = 3431.913, w2 = 3359.677, dw = -0.04378, nw = 1651 140615.0030.ec.fits: REFSPEC1 = 'EchelleThAr.0026.ec 0.1440506' 140615.0030.ec.fits: REFSPEC2 = 'EchelleThAr.0031.ec 0.8559494' 140615.0030.ec.fits: ap = 1, w1 = 10812.01, w2 = 10583.85, dw = -0.13828, nw = 1651 140615.0030.ec.fits: ap = 2, w1 = 10611.81, w2 = 10387.87, dw = -0.13572, nw = 1651 140615.0030.ec.fits: ap = 3, w1 = 10418.88, w2 = 10199.02, dw = -0.13325, nw = 1651 140615.0030.ec.fits: ap = 4, w1 = 10232.85, w2 = 10016.91, dw = -0.13087, nw = 1651 140615.0030.ec.fits: ap = 5, w1 = 10053.34, w2 = 9841.194, dw = -0.12858, nw = 1651 140615.0030.ec.fits: ap = 6, w1 = 9880.027, w2 = 9671.536, dw = -0.12636, nw = 1651 140615.0030.ec.fits: ap = 7, w1 = 9712.585, w2 = 9507.628, dw = -0.12422, nw = 1651 140615.0030.ec.fits: ap = 8, w1 = 9550.724, w2 = 9349.183, dw = -0.12215, nw = 1651 140615.0030.ec.fits: ap = 9, w1 = 9394.169, w2 = 9195.933, dw = -0.12014, nw = 1651 140615.0030.ec.fits: ap = 10, w1 = 9242.665, w2 = 9047.627, dw = -0.1182, nw = 1651 140615.0030.ec.fits: ap = 11, w1 = 9095.969, w2 = 8904.029, dw = -0.11633, nw = 1651 140615.0030.ec.fits: ap = 12, w1 = 8953.858, w2 = 8764.918, dw = -0.11451, nw = 1651 140615.0030.ec.fits: ap = 13, w1 = 8816.119, w2 = 8630.087, dw = -0.11275, nw = 1651 140615.0030.ec.fits: ap = 14, w1 = 8682.553, w2 = 8499.341, dw = -0.11104, nw = 1651 140615.0030.ec.fits: ap = 15, w1 = 8552.975, w2 = 8372.499, dw = -0.10938, nw = 1651 140615.0030.ec.fits: ap = 16, w1 = 8427.207, w2 = 8249.387, dw = -0.10777, nw = 1651 140615.0030.ec.fits: ap = 17, w1 = 8305.085, w2 = 8129.843, dw = -0.10621, nw = 1651 140615.0030.ec.fits: ap = 18, w1 = 8186.452, w2 = 8013.715, dw = -0.10469, nw = 1651 140615.0030.ec.fits: ap = 19, w1 = 8071.16, w2 = 7900.859, dw = -0.10321, nw = 1651 140615.0030.ec.fits: ap = 20, w1 = 7959.071, w2 = 7791.136, dw = -0.10178, nw = 1651 140615.0030.ec.fits: ap = 21, w1 = 7850.053, w2 = 7684.421, dw = -0.10038, nw = 1651 140615.0030.ec.fits: ap = 22, w1 = 7743.981, w2 = 7580.589, dw = -0.09903, nw = 1651 140615.0030.ec.fits: ap = 23, w1 = 7640.737, w2 = 7479.526, dw = -0.0977, nw = 1651 140615.0030.ec.fits: ap = 24, w1 = 7540.21, w2 = 7381.122, dw = -0.09642, nw = 1651 140615.0030.ec.fits: ap = 25, w1 = 7442.295, w2 = 7285.275, dw = -0.09516, nw = 1651 140615.0030.ec.fits: ap = 26, w1 = 7346.89, w2 = 7191.885, dw = -0.09394, nw = 1651 140615.0030.ec.fits: ap = 27, w1 = 7253.9, w2 = 7100.86, dw = -0.09275, nw = 1651 140615.0030.ec.fits: ap = 28, w1 = 7163.235, w2 = 7012.11, dw = -0.09159, nw = 1651 140615.0030.ec.fits: ap = 29, w1 = 7074.809, w2 = 6925.551, dw = -0.09046, nw = 1651 140615.0030.ec.fits: ap = 30, w1 = 6988.54, w2 = 6841.104, dw = -0.08935, nw = 1651 140615.0030.ec.fits: ap = 31, w1 = 6904.349, w2 = 6758.692, dw = -0.08828, nw = 1651 140615.0030.ec.fits: ap = 32, w1 = 6822.163, w2 = 6678.242, dw = -0.08722, nw = 1651 140615.0030.ec.fits: ap = 33, w1 = 6741.911, w2 = 6599.685, dw = -0.0862, nw = 1651 140615.0030.ec.fits: ap = 34, w1 = 6663.525, w2 = 6522.955, dw = -0.08519, nw = 1651 140615.0030.ec.fits: ap = 35, w1 = 6586.941, w2 = 6447.989, dw = -0.08421, nw = 1651 140615.0030.ec.fits: ap = 36, w1 = 6512.097, w2 = 6374.726, dw = -0.08326, nw = 1651 140615.0030.ec.fits: ap = 37, w1 = 6438.936, w2 = 6303.111, dw = -0.08232, nw = 1651 140615.0030.ec.fits: ap = 38, w1 = 6367.401, w2 = 6233.086, dw = -0.0814, nw = 1651 140615.0030.ec.fits: ap = 39, w1 = 6297.437, w2 = 6164.601, dw = -0.08051, nw = 1651 140615.0030.ec.fits: ap = 40, w1 = 6228.995, w2 = 6097.605, dw = -0.07963, nw = 1651 140615.0030.ec.fits: ap = 41, w1 = 6162.025, w2 = 6032.049, dw = -0.07877, nw = 1651 140615.0030.ec.fits: ap = 42, w1 = 6096.48, w2 = 5967.889, dw = -0.07793, nw = 1651 140615.0030.ec.fits: ap = 43, w1 = 6032.314, w2 = 5905.079, dw = -0.07711, nw = 1651 140615.0030.ec.fits: ap = 44, w1 = 5969.486, w2 = 5843.578, dw = -0.07631, nw = 1651 140615.0030.ec.fits: ap = 45, w1 = 5907.953, w2 = 5783.345, dw = -0.07552, nw = 1651 140615.0030.ec.fits: ap = 46, w1 = 5847.676, w2 = 5724.341, dw = -0.07475, nw = 1651 140615.0030.ec.fits: ap = 47, w1 = 5788.617, w2 = 5666.529, dw = -0.07399, nw = 1651 140615.0030.ec.fits: ap = 48, w1 = 5730.739, w2 = 5609.874, dw = -0.07325, nw = 1651 140615.0030.ec.fits: ap = 49, w1 = 5674.007, w2 = 5554.341, dw = -0.07253, nw = 1651 140615.0030.ec.fits: ap = 50, w1 = 5618.388, w2 = 5499.896, dw = -0.07181, nw = 1651 140615.0030.ec.fits: ap = 51, w1 = 5563.849, w2 = 5446.509, dw = -0.07111, nw = 1651 140615.0030.ec.fits: ap = 52, w1 = 5510.358, w2 = 5394.149, dw = -0.07043, nw = 1651 140615.0030.ec.fits: ap = 53, w1 = 5457.887, w2 = 5342.786, dw = -0.06976, nw = 1651 140615.0030.ec.fits: ap = 54, w1 = 5406.406, w2 = 5292.392, dw = -0.0691, nw = 1651 140615.0030.ec.fits: ap = 55, w1 = 5355.887, w2 = 5242.941, dw = -0.06845, nw = 1651 140615.0030.ec.fits: ap = 56, w1 = 5306.303, w2 = 5194.405, dw = -0.06782, nw = 1651 140615.0030.ec.fits: ap = 57, w1 = 5257.63, w2 = 5146.76, dw = -0.06719, nw = 1651 140615.0030.ec.fits: ap = 58, w1 = 5209.842, w2 = 5099.981, dw = -0.06658, nw = 1651 140615.0030.ec.fits: ap = 59, w1 = 5162.914, w2 = 5054.045, dw = -0.06598, nw = 1651 140615.0030.ec.fits: ap = 60, w1 = 5116.825, w2 = 5008.929, dw = -0.06539, nw = 1651 140615.0030.ec.fits: ap = 61, w1 = 5071.552, w2 = 4964.612, dw = -0.06481, nw = 1651 140615.0030.ec.fits: ap = 62, w1 = 5027.073, w2 = 4921.073, dw = -0.06424, nw = 1651 140615.0030.ec.fits: ap = 63, w1 = 4983.367, w2 = 4878.291, dw = -0.06368, nw = 1651 140615.0030.ec.fits: ap = 64, w1 = 4940.415, w2 = 4836.246, dw = -0.06313, nw = 1651 140615.0030.ec.fits: ap = 65, w1 = 4898.198, w2 = 4794.921, dw = -0.06259, nw = 1651 140615.0030.ec.fits: ap = 66, w1 = 4856.696, w2 = 4754.296, dw = -0.06206, nw = 1651 140615.0030.ec.fits: ap = 67, w1 = 4815.891, w2 = 4714.353, dw = -0.06154, nw = 1651 140615.0030.ec.fits: ap = 68, w1 = 4775.767, w2 = 4675.077, dw = -0.06102, nw = 1651 140615.0030.ec.fits: ap = 69, w1 = 4736.306, w2 = 4636.449, dw = -0.06052, nw = 1651 140615.0030.ec.fits: ap = 70, w1 = 4697.491, w2 = 4598.455, dw = -0.06002, nw = 1651 140615.0030.ec.fits: ap = 71, w1 = 4659.308, w2 = 4561.079, dw = -0.05953, nw = 1651 140615.0030.ec.fits: ap = 72, w1 = 4621.741, w2 = 4524.306, dw = -0.05905, nw = 1651 140615.0030.ec.fits: ap = 73, w1 = 4584.775, w2 = 4488.121, dw = -0.05858, nw = 1651 140615.0030.ec.fits: ap = 74, w1 = 4548.396, w2 = 4452.51, dw = -0.05811, nw = 1651 140615.0030.ec.fits: ap = 75, w1 = 4512.589, w2 = 4417.46, dw = -0.05765, nw = 1651 140615.0030.ec.fits: ap = 76, w1 = 4477.342, w2 = 4382.958, dw = -0.0572, nw = 1651 140615.0030.ec.fits: ap = 77, w1 = 4442.642, w2 = 4348.991, dw = -0.05676, nw = 1651 140615.0030.ec.fits: ap = 78, w1 = 4408.475, w2 = 4315.547, dw = -0.05632, nw = 1651 140615.0030.ec.fits: ap = 79, w1 = 4374.83, w2 = 4282.613, dw = -0.05589, nw = 1651 140615.0030.ec.fits: ap = 80, w1 = 4341.694, w2 = 4250.178, dw = -0.05546, nw = 1651 140615.0030.ec.fits: ap = 81, w1 = 4309.057, w2 = 4218.231, dw = -0.05505, nw = 1651 140615.0030.ec.fits: ap = 82, w1 = 4276.907, w2 = 4186.761, dw = -0.05463, nw = 1651 140615.0030.ec.fits: ap = 83, w1 = 4245.233, w2 = 4155.757, dw = -0.05423, nw = 1651 140615.0030.ec.fits: ap = 84, w1 = 4214.025, w2 = 4125.209, dw = -0.05383, nw = 1651 140615.0030.ec.fits: ap = 85, w1 = 4183.272, w2 = 4095.106, dw = -0.05343, nw = 1651 140615.0030.ec.fits: ap = 86, w1 = 4152.965, w2 = 4065.441, dw = -0.05305, nw = 1651 140615.0030.ec.fits: ap = 87, w1 = 4123.094, w2 = 4036.201, dw = -0.05266, nw = 1651 140615.0030.ec.fits: ap = 88, w1 = 4093.65, w2 = 4007.38, dw = -0.05228, nw = 1651 140615.0030.ec.fits: ap = 89, w1 = 4064.623, w2 = 3978.967, dw = -0.05191, nw = 1651 140615.0030.ec.fits: ap = 90, w1 = 4036.004, w2 = 3950.955, dw = -0.05155, nw = 1651 140615.0030.ec.fits: ap = 91, w1 = 4007.786, w2 = 3923.334, dw = -0.05118, nw = 1651 140615.0030.ec.fits: ap = 92, w1 = 3979.96, w2 = 3896.097, dw = -0.05083, nw = 1651 140615.0030.ec.fits: ap = 93, w1 = 3952.517, w2 = 3869.235, dw = -0.05047, nw = 1651 140615.0030.ec.fits: ap = 94, w1 = 3925.45, w2 = 3842.741, dw = -0.05013, nw = 1651 140615.0030.ec.fits: ap = 95, w1 = 3898.751, w2 = 3816.608, dw = -0.04978, nw = 1651 140615.0030.ec.fits: ap = 96, w1 = 3872.413, w2 = 3790.828, dw = -0.04945, nw = 1651 140615.0030.ec.fits: ap = 97, w1 = 3846.428, w2 = 3765.394, dw = -0.04911, nw = 1651 140615.0030.ec.fits: ap = 98, w1 = 3820.789, w2 = 3740.298, dw = -0.04878, nw = 1651 140615.0030.ec.fits: ap = 99, w1 = 3795.49, w2 = 3715.535, dw = -0.04846, nw = 1651 140615.0030.ec.fits: ap = 100, w1 = 3770.523, w2 = 3691.098, dw = -0.04814, nw = 1651 140615.0030.ec.fits: ap = 101, w1 = 3745.883, w2 = 3666.98, dw = -0.04782, nw = 1651 140615.0030.ec.fits: ap = 102, w1 = 3721.562, w2 = 3643.176, dw = -0.04751, nw = 1651 140615.0030.ec.fits: ap = 103, w1 = 3697.555, w2 = 3619.678, dw = -0.0472, nw = 1651 140615.0030.ec.fits: ap = 104, w1 = 3673.855, w2 = 3596.481, dw = -0.04689, nw = 1651 140615.0030.ec.fits: ap = 105, w1 = 3650.457, w2 = 3573.58, dw = -0.04659, nw = 1651 140615.0030.ec.fits: ap = 106, w1 = 3627.355, w2 = 3550.969, dw = -0.04629, nw = 1651 140615.0030.ec.fits: ap = 107, w1 = 3604.543, w2 = 3528.642, dw = -0.046, nw = 1651 140615.0030.ec.fits: ap = 108, w1 = 3582.016, w2 = 3506.593, dw = -0.04571, nw = 1651 140615.0030.ec.fits: ap = 109, w1 = 3559.768, w2 = 3484.819, dw = -0.04542, nw = 1651 140615.0030.ec.fits: ap = 110, w1 = 3537.795, w2 = 3463.313, dw = -0.04514, nw = 1651 140615.0030.ec.fits: ap = 111, w1 = 3516.091, w2 = 3442.071, dw = -0.04486, nw = 1651 140615.0030.ec.fits: ap = 112, w1 = 3494.652, w2 = 3421.088, dw = -0.04458, nw = 1651 140615.0030.ec.fits: ap = 113, w1 = 3473.471, w2 = 3400.359, dw = -0.04431, nw = 1651 140615.0030.ec.fits: ap = 114, w1 = 3452.546, w2 = 3379.879, dw = -0.04404, nw = 1651 140615.0030.ec.fits: ap = 115, w1 = 3431.871, w2 = 3359.645, dw = -0.04377, nw = 1651 140615.0032.ec.fits: REFSPEC1 = 'EchelleThAr.0031.ec 0.8462553' 140615.0032.ec.fits: REFSPEC2 = 'EchelleThAr.0035.ec 0.15374473' 140615.0032.ec.fits: ap = 1, w1 = 10812., w2 = 10583.84, dw = -0.13828, nw = 1651 140615.0032.ec.fits: ap = 2, w1 = 10611.8, w2 = 10387.86, dw = -0.13572, nw = 1651 140615.0032.ec.fits: ap = 3, w1 = 10418.87, w2 = 10199.01, dw = -0.13325, nw = 1651 140615.0032.ec.fits: ap = 4, w1 = 10232.84, w2 = 10016.9, dw = -0.13087, nw = 1651 140615.0032.ec.fits: ap = 5, w1 = 10053.34, w2 = 9841.187, dw = -0.12858, nw = 1651 140615.0032.ec.fits: ap = 6, w1 = 9880.019, w2 = 9671.528, dw = -0.12636, nw = 1651 140615.0032.ec.fits: ap = 7, w1 = 9712.577, w2 = 9507.62, dw = -0.12422, nw = 1651 140615.0032.ec.fits: ap = 8, w1 = 9550.717, w2 = 9349.177, dw = -0.12215, nw = 1651 140615.0032.ec.fits: ap = 9, w1 = 9394.163, w2 = 9195.927, dw = -0.12014, nw = 1651 140615.0032.ec.fits: ap = 10, w1 = 9242.658, w2 = 9047.621, dw = -0.1182, nw = 1651 140615.0032.ec.fits: ap = 11, w1 = 9095.963, w2 = 8904.023, dw = -0.11633, nw = 1651 140615.0032.ec.fits: ap = 12, w1 = 8953.852, w2 = 8764.912, dw = -0.11451, nw = 1651 140615.0032.ec.fits: ap = 13, w1 = 8816.113, w2 = 8630.081, dw = -0.11275, nw = 1651 140615.0032.ec.fits: ap = 14, w1 = 8682.548, w2 = 8499.336, dw = -0.11104, nw = 1651 140615.0032.ec.fits: ap = 15, w1 = 8552.969, w2 = 8372.494, dw = -0.10938, nw = 1651 140615.0032.ec.fits: ap = 16, w1 = 8427.202, w2 = 8249.382, dw = -0.10777, nw = 1651 140615.0032.ec.fits: ap = 17, w1 = 8305.08, w2 = 8129.838, dw = -0.10621, nw = 1651 140615.0032.ec.fits: ap = 18, w1 = 8186.447, w2 = 8013.71, dw = -0.10469, nw = 1651 140615.0032.ec.fits: ap = 19, w1 = 8071.155, w2 = 7900.854, dw = -0.10321, nw = 1651 140615.0032.ec.fits: ap = 20, w1 = 7959.066, w2 = 7791.132, dw = -0.10178, nw = 1651 140615.0032.ec.fits: ap = 21, w1 = 7850.048, w2 = 7684.416, dw = -0.10038, nw = 1651 140615.0032.ec.fits: ap = 22, w1 = 7743.976, w2 = 7580.584, dw = -0.09903, nw = 1651 140615.0032.ec.fits: ap = 23, w1 = 7640.733, w2 = 7479.521, dw = -0.0977, nw = 1651 140615.0032.ec.fits: ap = 24, w1 = 7540.206, w2 = 7381.118, dw = -0.09642, nw = 1651 140615.0032.ec.fits: ap = 25, w1 = 7442.291, w2 = 7285.27, dw = -0.09516, nw = 1651 140615.0032.ec.fits: ap = 26, w1 = 7346.886, w2 = 7191.881, dw = -0.09394, nw = 1651 140615.0032.ec.fits: ap = 27, w1 = 7253.896, w2 = 7100.855, dw = -0.09275, nw = 1651 140615.0032.ec.fits: ap = 28, w1 = 7163.232, w2 = 7012.105, dw = -0.09159, nw = 1651 140615.0032.ec.fits: ap = 29, w1 = 7074.805, w2 = 6925.547, dw = -0.09046, nw = 1651 140615.0032.ec.fits: ap = 30, w1 = 6988.536, w2 = 6841.1, dw = -0.08936, nw = 1651 140615.0032.ec.fits: ap = 31, w1 = 6904.345, w2 = 6758.688, dw = -0.08828, nw = 1651 140615.0032.ec.fits: ap = 32, w1 = 6822.159, w2 = 6678.237, dw = -0.08723, nw = 1651 140615.0032.ec.fits: ap = 33, w1 = 6741.907, w2 = 6599.68, dw = -0.0862, nw = 1651 140615.0032.ec.fits: ap = 34, w1 = 6663.521, w2 = 6522.95, dw = -0.08519, nw = 1651 140615.0032.ec.fits: ap = 35, w1 = 6586.937, w2 = 6447.984, dw = -0.08421, nw = 1651 140615.0032.ec.fits: ap = 36, w1 = 6512.094, w2 = 6374.722, dw = -0.08326, nw = 1651 140615.0032.ec.fits: ap = 37, w1 = 6438.933, w2 = 6303.106, dw = -0.08232, nw = 1651 140615.0032.ec.fits: ap = 38, w1 = 6367.397, w2 = 6233.082, dw = -0.0814, nw = 1651 140615.0032.ec.fits: ap = 39, w1 = 6297.434, w2 = 6164.597, dw = -0.08051, nw = 1651 140615.0032.ec.fits: ap = 40, w1 = 6228.992, w2 = 6097.6, dw = -0.07963, nw = 1651 140615.0032.ec.fits: ap = 41, w1 = 6162.022, w2 = 6032.045, dw = -0.07877, nw = 1651 140615.0032.ec.fits: ap = 42, w1 = 6096.477, w2 = 5967.884, dw = -0.07793, nw = 1651 140615.0032.ec.fits: ap = 43, w1 = 6032.311, w2 = 5905.074, dw = -0.07711, nw = 1651 140615.0032.ec.fits: ap = 44, w1 = 5969.483, w2 = 5843.573, dw = -0.07631, nw = 1651 140615.0032.ec.fits: ap = 45, w1 = 5907.95, w2 = 5783.34, dw = -0.07552, nw = 1651 140615.0032.ec.fits: ap = 46, w1 = 5847.673, w2 = 5724.336, dw = -0.07475, nw = 1651 140615.0032.ec.fits: ap = 47, w1 = 5788.614, w2 = 5666.525, dw = -0.07399, nw = 1651 140615.0032.ec.fits: ap = 48, w1 = 5730.736, w2 = 5609.87, dw = -0.07325, nw = 1651 140615.0032.ec.fits: ap = 49, w1 = 5674.004, w2 = 5554.336, dw = -0.07253, nw = 1651 140615.0032.ec.fits: ap = 50, w1 = 5618.385, w2 = 5499.892, dw = -0.07181, nw = 1651 140615.0032.ec.fits: ap = 51, w1 = 5563.846, w2 = 5446.505, dw = -0.07112, nw = 1651 140615.0032.ec.fits: ap = 52, w1 = 5510.355, w2 = 5394.145, dw = -0.07043, nw = 1651 140615.0032.ec.fits: ap = 53, w1 = 5457.884, w2 = 5342.782, dw = -0.06976, nw = 1651 140615.0032.ec.fits: ap = 54, w1 = 5406.403, w2 = 5292.388, dw = -0.0691, nw = 1651 140615.0032.ec.fits: ap = 55, w1 = 5355.884, w2 = 5242.936, dw = -0.06845, nw = 1651 140615.0032.ec.fits: ap = 56, w1 = 5306.3, w2 = 5194.401, dw = -0.06782, nw = 1651 140615.0032.ec.fits: ap = 57, w1 = 5257.627, w2 = 5146.755, dw = -0.06719, nw = 1651 140615.0032.ec.fits: ap = 58, w1 = 5209.839, w2 = 5099.977, dw = -0.06658, nw = 1651 140615.0032.ec.fits: ap = 59, w1 = 5162.911, w2 = 5054.041, dw = -0.06598, nw = 1651 140615.0032.ec.fits: ap = 60, w1 = 5116.822, w2 = 5008.925, dw = -0.06539, nw = 1651 140615.0032.ec.fits: ap = 61, w1 = 5071.549, w2 = 4964.608, dw = -0.06481, nw = 1651 140615.0032.ec.fits: ap = 62, w1 = 5027.07, w2 = 4921.069, dw = -0.06424, nw = 1651 140615.0032.ec.fits: ap = 63, w1 = 4983.364, w2 = 4878.287, dw = -0.06368, nw = 1651 140615.0032.ec.fits: ap = 64, w1 = 4940.412, w2 = 4836.243, dw = -0.06313, nw = 1651 140615.0032.ec.fits: ap = 65, w1 = 4898.194, w2 = 4794.917, dw = -0.06259, nw = 1651 140615.0032.ec.fits: ap = 66, w1 = 4856.692, w2 = 4754.292, dw = -0.06206, nw = 1651 140615.0032.ec.fits: ap = 67, w1 = 4815.888, w2 = 4714.349, dw = -0.06154, nw = 1651 140615.0032.ec.fits: ap = 68, w1 = 4775.763, w2 = 4675.073, dw = -0.06102, nw = 1651 140615.0032.ec.fits: ap = 69, w1 = 4736.302, w2 = 4636.446, dw = -0.06052, nw = 1651 140615.0032.ec.fits: ap = 70, w1 = 4697.488, w2 = 4598.452, dw = -0.06002, nw = 1651 140615.0032.ec.fits: ap = 71, w1 = 4659.305, w2 = 4561.076, dw = -0.05953, nw = 1651 140615.0032.ec.fits: ap = 72, w1 = 4621.738, w2 = 4524.302, dw = -0.05905, nw = 1651 140615.0032.ec.fits: ap = 73, w1 = 4584.772, w2 = 4488.117, dw = -0.05858, nw = 1651 140615.0032.ec.fits: ap = 74, w1 = 4548.392, w2 = 4452.507, dw = -0.05811, nw = 1651 140615.0032.ec.fits: ap = 75, w1 = 4512.586, w2 = 4417.457, dw = -0.05765, nw = 1651 140615.0032.ec.fits: ap = 76, w1 = 4477.339, w2 = 4382.955, dw = -0.0572, nw = 1651 140615.0032.ec.fits: ap = 77, w1 = 4442.638, w2 = 4348.988, dw = -0.05676, nw = 1651 140615.0032.ec.fits: ap = 78, w1 = 4408.471, w2 = 4315.544, dw = -0.05632, nw = 1651 140615.0032.ec.fits: ap = 79, w1 = 4374.826, w2 = 4282.61, dw = -0.05589, nw = 1651 140615.0032.ec.fits: ap = 80, w1 = 4341.69, w2 = 4250.174, dw = -0.05546, nw = 1651 140615.0032.ec.fits: ap = 81, w1 = 4309.053, w2 = 4218.228, dw = -0.05505, nw = 1651 140615.0032.ec.fits: ap = 82, w1 = 4276.903, w2 = 4186.757, dw = -0.05463, nw = 1651 140615.0032.ec.fits: ap = 83, w1 = 4245.229, w2 = 4155.754, dw = -0.05423, nw = 1651 140615.0032.ec.fits: ap = 84, w1 = 4214.021, w2 = 4125.206, dw = -0.05383, nw = 1651 140615.0032.ec.fits: ap = 85, w1 = 4183.268, w2 = 4095.104, dw = -0.05343, nw = 1651 140615.0032.ec.fits: ap = 86, w1 = 4152.961, w2 = 4065.438, dw = -0.05304, nw = 1651 140615.0032.ec.fits: ap = 87, w1 = 4123.089, w2 = 4036.198, dw = -0.05266, nw = 1651 140615.0032.ec.fits: ap = 88, w1 = 4093.645, w2 = 4007.377, dw = -0.05228, nw = 1651 140615.0032.ec.fits: ap = 89, w1 = 4064.618, w2 = 3978.964, dw = -0.05191, nw = 1651 140615.0032.ec.fits: ap = 90, w1 = 4035.999, w2 = 3950.952, dw = -0.05154, nw = 1651 140615.0032.ec.fits: ap = 91, w1 = 4007.781, w2 = 3923.331, dw = -0.05118, nw = 1651 140615.0032.ec.fits: ap = 92, w1 = 3979.955, w2 = 3896.094, dw = -0.05082, nw = 1651 140615.0032.ec.fits: ap = 93, w1 = 3952.512, w2 = 3869.232, dw = -0.05047, nw = 1651 140615.0032.ec.fits: ap = 94, w1 = 3925.445, w2 = 3842.738, dw = -0.05013, nw = 1651 140615.0032.ec.fits: ap = 95, w1 = 3898.746, w2 = 3816.605, dw = -0.04978, nw = 1651 140615.0032.ec.fits: ap = 96, w1 = 3872.407, w2 = 3790.825, dw = -0.04944, nw = 1651 140615.0032.ec.fits: ap = 97, w1 = 3846.422, w2 = 3765.391, dw = -0.04911, nw = 1651 140615.0032.ec.fits: ap = 98, w1 = 3820.783, w2 = 3740.295, dw = -0.04878, nw = 1651 140615.0032.ec.fits: ap = 99, w1 = 3795.484, w2 = 3715.532, dw = -0.04846, nw = 1651 140615.0032.ec.fits: ap = 100, w1 = 3770.517, w2 = 3691.095, dw = -0.04813, nw = 1651 140615.0032.ec.fits: ap = 101, w1 = 3745.877, w2 = 3666.977, dw = -0.04782, nw = 1651 140615.0032.ec.fits: ap = 102, w1 = 3721.556, w2 = 3643.172, dw = -0.04751, nw = 1651 140615.0032.ec.fits: ap = 103, w1 = 3697.548, w2 = 3619.675, dw = -0.0472, nw = 1651 140615.0032.ec.fits: ap = 104, w1 = 3673.849, w2 = 3596.478, dw = -0.04689, nw = 1651 140615.0032.ec.fits: ap = 105, w1 = 3650.45, w2 = 3573.577, dw = -0.04659, nw = 1651 140615.0032.ec.fits: ap = 106, w1 = 3627.348, w2 = 3550.965, dw = -0.04629, nw = 1651 140615.0032.ec.fits: ap = 107, w1 = 3604.536, w2 = 3528.638, dw = -0.046, nw = 1651 140615.0032.ec.fits: ap = 108, w1 = 3582.009, w2 = 3506.59, dw = -0.04571, nw = 1651 140615.0032.ec.fits: ap = 109, w1 = 3559.761, w2 = 3484.815, dw = -0.04542, nw = 1651 140615.0032.ec.fits: ap = 110, w1 = 3537.788, w2 = 3463.309, dw = -0.04514, nw = 1651 140615.0032.ec.fits: ap = 111, w1 = 3516.084, w2 = 3442.067, dw = -0.04486, nw = 1651 140615.0032.ec.fits: ap = 112, w1 = 3494.644, w2 = 3421.083, dw = -0.04458, nw = 1651 140615.0032.ec.fits: ap = 113, w1 = 3473.464, w2 = 3400.354, dw = -0.04431, nw = 1651 140615.0032.ec.fits: ap = 114, w1 = 3452.538, w2 = 3379.875, dw = -0.04404, nw = 1651 140615.0032.ec.fits: ap = 115, w1 = 3431.863, w2 = 3359.64, dw = -0.04377, nw = 1651 140615.0033.ec.fits: REFSPEC1 = 'EchelleThAr.0031.ec 0.5506264' 140615.0033.ec.fits: REFSPEC2 = 'EchelleThAr.0035.ec 0.44937357' 140615.0033.ec.fits: ap = 1, w1 = 10812., w2 = 10583.83, dw = -0.13829, nw = 1651 140615.0033.ec.fits: ap = 2, w1 = 10611.8, w2 = 10387.85, dw = -0.13572, nw = 1651 140615.0033.ec.fits: ap = 3, w1 = 10418.87, w2 = 10199., dw = -0.13326, nw = 1651 140615.0033.ec.fits: ap = 4, w1 = 10232.84, w2 = 10016.9, dw = -0.13088, nw = 1651 140615.0033.ec.fits: ap = 5, w1 = 10053.33, w2 = 9841.179, dw = -0.12858, nw = 1651 140615.0033.ec.fits: ap = 6, w1 = 9880.017, w2 = 9671.521, dw = -0.12636, nw = 1651 140615.0033.ec.fits: ap = 7, w1 = 9712.574, w2 = 9507.613, dw = -0.12422, nw = 1651 140615.0033.ec.fits: ap = 8, w1 = 9550.713, w2 = 9349.17, dw = -0.12215, nw = 1651 140615.0033.ec.fits: ap = 9, w1 = 9394.158, w2 = 9195.92, dw = -0.12014, nw = 1651 140615.0033.ec.fits: ap = 10, w1 = 9242.653, w2 = 9047.614, dw = -0.11821, nw = 1651 140615.0033.ec.fits: ap = 11, w1 = 9095.958, w2 = 8904.016, dw = -0.11633, nw = 1651 140615.0033.ec.fits: ap = 12, w1 = 8953.846, w2 = 8764.905, dw = -0.11451, nw = 1651 140615.0033.ec.fits: ap = 13, w1 = 8816.107, w2 = 8630.075, dw = -0.11275, nw = 1651 140615.0033.ec.fits: ap = 14, w1 = 8682.542, w2 = 8499.33, dw = -0.11104, nw = 1651 140615.0033.ec.fits: ap = 15, w1 = 8552.963, w2 = 8372.488, dw = -0.10938, nw = 1651 140615.0033.ec.fits: ap = 16, w1 = 8427.196, w2 = 8249.376, dw = -0.10777, nw = 1651 140615.0033.ec.fits: ap = 17, w1 = 8305.073, w2 = 8129.833, dw = -0.10621, nw = 1651 140615.0033.ec.fits: ap = 18, w1 = 8186.44, w2 = 8013.705, dw = -0.10469, nw = 1651 140615.0033.ec.fits: ap = 19, w1 = 8071.149, w2 = 7900.848, dw = -0.10321, nw = 1651 140615.0033.ec.fits: ap = 20, w1 = 7959.06, w2 = 7791.126, dw = -0.10178, nw = 1651 140615.0033.ec.fits: ap = 21, w1 = 7850.041, w2 = 7684.41, dw = -0.10038, nw = 1651 140615.0033.ec.fits: ap = 22, w1 = 7743.97, w2 = 7580.579, dw = -0.09902, nw = 1651 140615.0033.ec.fits: ap = 23, w1 = 7640.726, w2 = 7479.516, dw = -0.0977, nw = 1651 140615.0033.ec.fits: ap = 24, w1 = 7540.2, w2 = 7381.112, dw = -0.09642, nw = 1651 140615.0033.ec.fits: ap = 25, w1 = 7442.285, w2 = 7285.265, dw = -0.09516, nw = 1651 140615.0033.ec.fits: ap = 26, w1 = 7346.88, w2 = 7191.875, dw = -0.09394, nw = 1651 140615.0033.ec.fits: ap = 27, w1 = 7253.89, w2 = 7100.85, dw = -0.09275, nw = 1651 140615.0033.ec.fits: ap = 28, w1 = 7163.226, w2 = 7012.1, dw = -0.09159, nw = 1651 140615.0033.ec.fits: ap = 29, w1 = 7074.8, w2 = 6925.542, dw = -0.09046, nw = 1651 140615.0033.ec.fits: ap = 30, w1 = 6988.53, w2 = 6841.094, dw = -0.08936, nw = 1651 140615.0033.ec.fits: ap = 31, w1 = 6904.34, w2 = 6758.682, dw = -0.08828, nw = 1651 140615.0033.ec.fits: ap = 32, w1 = 6822.154, w2 = 6678.232, dw = -0.08723, nw = 1651 140615.0033.ec.fits: ap = 33, w1 = 6741.902, w2 = 6599.675, dw = -0.0862, nw = 1651 140615.0033.ec.fits: ap = 34, w1 = 6663.516, w2 = 6522.945, dw = -0.08519, nw = 1651 140615.0033.ec.fits: ap = 35, w1 = 6586.932, w2 = 6447.979, dw = -0.08421, nw = 1651 140615.0033.ec.fits: ap = 36, w1 = 6512.089, w2 = 6374.717, dw = -0.08326, nw = 1651 140615.0033.ec.fits: ap = 37, w1 = 6438.928, w2 = 6303.101, dw = -0.08232, nw = 1651 140615.0033.ec.fits: ap = 38, w1 = 6367.392, w2 = 6233.076, dw = -0.0814, nw = 1651 140615.0033.ec.fits: ap = 39, w1 = 6297.429, w2 = 6164.591, dw = -0.08051, nw = 1651 140615.0033.ec.fits: ap = 40, w1 = 6228.987, w2 = 6097.595, dw = -0.07963, nw = 1651 140615.0033.ec.fits: ap = 41, w1 = 6162.017, w2 = 6032.039, dw = -0.07877, nw = 1651 140615.0033.ec.fits: ap = 42, w1 = 6096.472, w2 = 5967.879, dw = -0.07794, nw = 1651 140615.0033.ec.fits: ap = 43, w1 = 6032.306, w2 = 5905.069, dw = -0.07711, nw = 1651 140615.0033.ec.fits: ap = 44, w1 = 5969.478, w2 = 5843.568, dw = -0.07631, nw = 1651 140615.0033.ec.fits: ap = 45, w1 = 5907.945, w2 = 5783.334, dw = -0.07552, nw = 1651 140615.0033.ec.fits: ap = 46, w1 = 5847.668, w2 = 5724.331, dw = -0.07475, nw = 1651 140615.0033.ec.fits: ap = 47, w1 = 5788.609, w2 = 5666.519, dw = -0.07399, nw = 1651 140615.0033.ec.fits: ap = 48, w1 = 5730.731, w2 = 5609.864, dw = -0.07325, nw = 1651 140615.0033.ec.fits: ap = 49, w1 = 5673.999, w2 = 5554.331, dw = -0.07253, nw = 1651 140615.0033.ec.fits: ap = 50, w1 = 5618.38, w2 = 5499.886, dw = -0.07181, nw = 1651 140615.0033.ec.fits: ap = 51, w1 = 5563.841, w2 = 5446.499, dw = -0.07112, nw = 1651 140615.0033.ec.fits: ap = 52, w1 = 5510.35, w2 = 5394.139, dw = -0.07043, nw = 1651 140615.0033.ec.fits: ap = 53, w1 = 5457.879, w2 = 5342.776, dw = -0.06976, nw = 1651 140615.0033.ec.fits: ap = 54, w1 = 5406.398, w2 = 5292.382, dw = -0.0691, nw = 1651 140615.0033.ec.fits: ap = 55, w1 = 5355.879, w2 = 5242.931, dw = -0.06845, nw = 1651 140615.0033.ec.fits: ap = 56, w1 = 5306.295, w2 = 5194.395, dw = -0.06782, nw = 1651 140615.0033.ec.fits: ap = 57, w1 = 5257.622, w2 = 5146.75, dw = -0.0672, nw = 1651 140615.0033.ec.fits: ap = 58, w1 = 5209.833, w2 = 5099.971, dw = -0.06658, nw = 1651 140615.0033.ec.fits: ap = 59, w1 = 5162.906, w2 = 5054.035, dw = -0.06598, nw = 1651 140615.0033.ec.fits: ap = 60, w1 = 5116.817, w2 = 5008.919, dw = -0.06539, nw = 1651 140615.0033.ec.fits: ap = 61, w1 = 5071.543, w2 = 4964.603, dw = -0.06481, nw = 1651 140615.0033.ec.fits: ap = 62, w1 = 5027.064, w2 = 4921.063, dw = -0.06424, nw = 1651 140615.0033.ec.fits: ap = 63, w1 = 4983.359, w2 = 4878.281, dw = -0.06368, nw = 1651 140615.0033.ec.fits: ap = 64, w1 = 4940.407, w2 = 4836.237, dw = -0.06313, nw = 1651 140615.0033.ec.fits: ap = 65, w1 = 4898.189, w2 = 4794.911, dw = -0.06259, nw = 1651 140615.0033.ec.fits: ap = 66, w1 = 4856.687, w2 = 4754.286, dw = -0.06206, nw = 1651 140615.0033.ec.fits: ap = 67, w1 = 4815.882, w2 = 4714.344, dw = -0.06154, nw = 1651 140615.0033.ec.fits: ap = 68, w1 = 4775.758, w2 = 4675.068, dw = -0.06102, nw = 1651 140615.0033.ec.fits: ap = 69, w1 = 4736.297, w2 = 4636.441, dw = -0.06052, nw = 1651 140615.0033.ec.fits: ap = 70, w1 = 4697.483, w2 = 4598.447, dw = -0.06002, nw = 1651 140615.0033.ec.fits: ap = 71, w1 = 4659.3, w2 = 4561.071, dw = -0.05953, nw = 1651 140615.0033.ec.fits: ap = 72, w1 = 4621.732, w2 = 4524.298, dw = -0.05905, nw = 1651 140615.0033.ec.fits: ap = 73, w1 = 4584.766, w2 = 4488.113, dw = -0.05858, nw = 1651 140615.0033.ec.fits: ap = 74, w1 = 4548.387, w2 = 4452.503, dw = -0.05811, nw = 1651 140615.0033.ec.fits: ap = 75, w1 = 4512.58, w2 = 4417.453, dw = -0.05765, nw = 1651 140615.0033.ec.fits: ap = 76, w1 = 4477.333, w2 = 4382.951, dw = -0.0572, nw = 1651 140615.0033.ec.fits: ap = 77, w1 = 4442.633, w2 = 4348.984, dw = -0.05676, nw = 1651 140615.0033.ec.fits: ap = 78, w1 = 4408.466, w2 = 4315.54, dw = -0.05632, nw = 1651 140615.0033.ec.fits: ap = 79, w1 = 4374.821, w2 = 4282.607, dw = -0.05589, nw = 1651 140615.0033.ec.fits: ap = 80, w1 = 4341.685, w2 = 4250.172, dw = -0.05546, nw = 1651 140615.0033.ec.fits: ap = 81, w1 = 4309.048, w2 = 4218.225, dw = -0.05504, nw = 1651 140615.0033.ec.fits: ap = 82, w1 = 4276.898, w2 = 4186.755, dw = -0.05463, nw = 1651 140615.0033.ec.fits: ap = 83, w1 = 4245.225, w2 = 4155.752, dw = -0.05423, nw = 1651 140615.0033.ec.fits: ap = 84, w1 = 4214.017, w2 = 4125.204, dw = -0.05383, nw = 1651 140615.0033.ec.fits: ap = 85, w1 = 4183.265, w2 = 4095.102, dw = -0.05343, nw = 1651 140615.0033.ec.fits: ap = 86, w1 = 4152.958, w2 = 4065.437, dw = -0.05304, nw = 1651 140615.0033.ec.fits: ap = 87, w1 = 4123.087, w2 = 4036.198, dw = -0.05266, nw = 1651 140615.0033.ec.fits: ap = 88, w1 = 4093.642, w2 = 4007.377, dw = -0.05228, nw = 1651 140615.0033.ec.fits: ap = 89, w1 = 4064.616, w2 = 3978.965, dw = -0.05191, nw = 1651 140615.0033.ec.fits: ap = 90, w1 = 4035.998, w2 = 3950.952, dw = -0.05154, nw = 1651 140615.0033.ec.fits: ap = 91, w1 = 4007.78, w2 = 3923.332, dw = -0.05118, nw = 1651 140615.0033.ec.fits: ap = 92, w1 = 3979.954, w2 = 3896.095, dw = -0.05082, nw = 1651 140615.0033.ec.fits: ap = 93, w1 = 3952.512, w2 = 3869.234, dw = -0.05047, nw = 1651 140615.0033.ec.fits: ap = 94, w1 = 3925.445, w2 = 3842.741, dw = -0.05012, nw = 1651 140615.0033.ec.fits: ap = 95, w1 = 3898.747, w2 = 3816.608, dw = -0.04978, nw = 1651 140615.0033.ec.fits: ap = 96, w1 = 3872.409, w2 = 3790.829, dw = -0.04944, nw = 1651 140615.0033.ec.fits: ap = 97, w1 = 3846.425, w2 = 3765.395, dw = -0.04911, nw = 1651 140615.0033.ec.fits: ap = 98, w1 = 3820.787, w2 = 3740.301, dw = -0.04878, nw = 1651 140615.0033.ec.fits: ap = 99, w1 = 3795.488, w2 = 3715.538, dw = -0.04845, nw = 1651 140615.0033.ec.fits: ap = 100, w1 = 3770.522, w2 = 3691.102, dw = -0.04813, nw = 1651 140615.0033.ec.fits: ap = 101, w1 = 3745.882, w2 = 3666.985, dw = -0.04782, nw = 1651 140615.0033.ec.fits: ap = 102, w1 = 3721.562, w2 = 3643.181, dw = -0.0475, nw = 1651 140615.0033.ec.fits: ap = 103, w1 = 3697.556, w2 = 3619.684, dw = -0.0472, nw = 1651 140615.0033.ec.fits: ap = 104, w1 = 3673.857, w2 = 3596.488, dw = -0.04689, nw = 1651 140615.0033.ec.fits: ap = 105, w1 = 3650.46, w2 = 3573.587, dw = -0.04659, nw = 1651 140615.0033.ec.fits: ap = 106, w1 = 3627.359, w2 = 3550.977, dw = -0.04629, nw = 1651 140615.0033.ec.fits: ap = 107, w1 = 3604.548, w2 = 3528.65, dw = -0.046, nw = 1651 140615.0033.ec.fits: ap = 108, w1 = 3582.022, w2 = 3506.603, dw = -0.04571, nw = 1651 140615.0033.ec.fits: ap = 109, w1 = 3559.776, w2 = 3484.829, dw = -0.04542, nw = 1651 140615.0033.ec.fits: ap = 110, w1 = 3537.804, w2 = 3463.324, dw = -0.04514, nw = 1651 140615.0033.ec.fits: ap = 111, w1 = 3516.101, w2 = 3442.083, dw = -0.04486, nw = 1651 140615.0033.ec.fits: ap = 112, w1 = 3494.663, w2 = 3421.101, dw = -0.04458, nw = 1651 140615.0033.ec.fits: ap = 113, w1 = 3473.484, w2 = 3400.373, dw = -0.04431, nw = 1651 140615.0033.ec.fits: ap = 114, w1 = 3452.56, w2 = 3379.894, dw = -0.04404, nw = 1651 140615.0033.ec.fits: ap = 115, w1 = 3431.887, w2 = 3359.661, dw = -0.04377, nw = 1651 140615.0034.ec.fits: REFSPEC1 = 'EchelleThAr.0031.ec 0.20452157' 140615.0034.ec.fits: REFSPEC2 = 'EchelleThAr.0035.ec 0.79547846' 140615.0034.ec.fits: ap = 1, w1 = 10812., w2 = 10583.82, dw = -0.13829, nw = 1651 140615.0034.ec.fits: ap = 2, w1 = 10611.8, w2 = 10387.84, dw = -0.13573, nw = 1651 140615.0034.ec.fits: ap = 3, w1 = 10418.87, w2 = 10198.99, dw = -0.13326, nw = 1651 140615.0034.ec.fits: ap = 4, w1 = 10232.84, w2 = 10016.89, dw = -0.13088, nw = 1651 140615.0034.ec.fits: ap = 5, w1 = 10053.33, w2 = 9841.17, dw = -0.12858, nw = 1651 140615.0034.ec.fits: ap = 6, w1 = 9880.013, w2 = 9671.512, dw = -0.12636, nw = 1651 140615.0034.ec.fits: ap = 7, w1 = 9712.57, w2 = 9507.605, dw = -0.12422, nw = 1651 140615.0034.ec.fits: ap = 8, w1 = 9550.708, w2 = 9349.161, dw = -0.12215, nw = 1651 140615.0034.ec.fits: ap = 9, w1 = 9394.153, w2 = 9195.912, dw = -0.12015, nw = 1651 140615.0034.ec.fits: ap = 10, w1 = 9242.647, w2 = 9047.606, dw = -0.11821, nw = 1651 140615.0034.ec.fits: ap = 11, w1 = 9095.951, w2 = 8904.008, dw = -0.11633, nw = 1651 140615.0034.ec.fits: ap = 12, w1 = 8953.839, w2 = 8764.898, dw = -0.11451, nw = 1651 140615.0034.ec.fits: ap = 13, w1 = 8816.1, w2 = 8630.067, dw = -0.11275, nw = 1651 140615.0034.ec.fits: ap = 14, w1 = 8682.534, w2 = 8499.323, dw = -0.11104, nw = 1651 140615.0034.ec.fits: ap = 15, w1 = 8552.956, w2 = 8372.48, dw = -0.10938, nw = 1651 140615.0034.ec.fits: ap = 16, w1 = 8427.188, w2 = 8249.369, dw = -0.10777, nw = 1651 140615.0034.ec.fits: ap = 17, w1 = 8305.066, w2 = 8129.826, dw = -0.10621, nw = 1651 140615.0034.ec.fits: ap = 18, w1 = 8186.433, w2 = 8013.698, dw = -0.10469, nw = 1651 140615.0034.ec.fits: ap = 19, w1 = 8071.141, w2 = 7900.841, dw = -0.10321, nw = 1651 140615.0034.ec.fits: ap = 20, w1 = 7959.052, w2 = 7791.119, dw = -0.10178, nw = 1651 140615.0034.ec.fits: ap = 21, w1 = 7850.034, w2 = 7684.404, dw = -0.10038, nw = 1651 140615.0034.ec.fits: ap = 22, w1 = 7743.962, w2 = 7580.572, dw = -0.09902, nw = 1651 140615.0034.ec.fits: ap = 23, w1 = 7640.719, w2 = 7479.509, dw = -0.0977, nw = 1651 140615.0034.ec.fits: ap = 24, w1 = 7540.192, w2 = 7381.106, dw = -0.09642, nw = 1651 140615.0034.ec.fits: ap = 25, w1 = 7442.277, w2 = 7285.259, dw = -0.09516, nw = 1651 140615.0034.ec.fits: ap = 26, w1 = 7346.873, w2 = 7191.869, dw = -0.09394, nw = 1651 140615.0034.ec.fits: ap = 27, w1 = 7253.883, w2 = 7100.844, dw = -0.09275, nw = 1651 140615.0034.ec.fits: ap = 28, w1 = 7163.219, w2 = 7012.094, dw = -0.09159, nw = 1651 140615.0034.ec.fits: ap = 29, w1 = 7074.793, w2 = 6925.535, dw = -0.09046, nw = 1651 140615.0034.ec.fits: ap = 30, w1 = 6988.523, w2 = 6841.088, dw = -0.08935, nw = 1651 140615.0034.ec.fits: ap = 31, w1 = 6904.333, w2 = 6758.676, dw = -0.08828, nw = 1651 140615.0034.ec.fits: ap = 32, w1 = 6822.147, w2 = 6678.226, dw = -0.08723, nw = 1651 140615.0034.ec.fits: ap = 33, w1 = 6741.895, w2 = 6599.669, dw = -0.0862, nw = 1651 140615.0034.ec.fits: ap = 34, w1 = 6663.509, w2 = 6522.939, dw = -0.08519, nw = 1651 140615.0034.ec.fits: ap = 35, w1 = 6586.926, w2 = 6447.973, dw = -0.08421, nw = 1651 140615.0034.ec.fits: ap = 36, w1 = 6512.083, w2 = 6374.71, dw = -0.08326, nw = 1651 140615.0034.ec.fits: ap = 37, w1 = 6438.922, w2 = 6303.094, dw = -0.08232, nw = 1651 140615.0034.ec.fits: ap = 38, w1 = 6367.386, w2 = 6233.07, dw = -0.0814, nw = 1651 140615.0034.ec.fits: ap = 39, w1 = 6297.423, w2 = 6164.585, dw = -0.08051, nw = 1651 140615.0034.ec.fits: ap = 40, w1 = 6228.981, w2 = 6097.588, dw = -0.07963, nw = 1651 140615.0034.ec.fits: ap = 41, w1 = 6162.011, w2 = 6032.033, dw = -0.07877, nw = 1651 140615.0034.ec.fits: ap = 42, w1 = 6096.466, w2 = 5967.872, dw = -0.07794, nw = 1651 140615.0034.ec.fits: ap = 43, w1 = 6032.301, w2 = 5905.062, dw = -0.07711, nw = 1651 140615.0034.ec.fits: ap = 44, w1 = 5969.472, w2 = 5843.561, dw = -0.07631, nw = 1651 140615.0034.ec.fits: ap = 45, w1 = 5907.94, w2 = 5783.328, dw = -0.07552, nw = 1651 140615.0034.ec.fits: ap = 46, w1 = 5847.663, w2 = 5724.324, dw = -0.07475, nw = 1651 140615.0034.ec.fits: ap = 47, w1 = 5788.603, w2 = 5666.512, dw = -0.07399, nw = 1651 140615.0034.ec.fits: ap = 48, w1 = 5730.725, w2 = 5609.857, dw = -0.07325, nw = 1651 140615.0034.ec.fits: ap = 49, w1 = 5673.994, w2 = 5554.324, dw = -0.07253, nw = 1651 140615.0034.ec.fits: ap = 50, w1 = 5618.374, w2 = 5499.879, dw = -0.07182, nw = 1651 140615.0034.ec.fits: ap = 51, w1 = 5563.835, w2 = 5446.492, dw = -0.07112, nw = 1651 140615.0034.ec.fits: ap = 52, w1 = 5510.345, w2 = 5394.132, dw = -0.07043, nw = 1651 140615.0034.ec.fits: ap = 53, w1 = 5457.873, w2 = 5342.769, dw = -0.06976, nw = 1651 140615.0034.ec.fits: ap = 54, w1 = 5406.392, w2 = 5292.375, dw = -0.0691, nw = 1651 140615.0034.ec.fits: ap = 55, w1 = 5355.873, w2 = 5242.924, dw = -0.06845, nw = 1651 140615.0034.ec.fits: ap = 56, w1 = 5306.29, w2 = 5194.388, dw = -0.06782, nw = 1651 140615.0034.ec.fits: ap = 57, w1 = 5257.616, w2 = 5146.743, dw = -0.0672, nw = 1651 140615.0034.ec.fits: ap = 58, w1 = 5209.827, w2 = 5099.964, dw = -0.06658, nw = 1651 140615.0034.ec.fits: ap = 59, w1 = 5162.9, w2 = 5054.028, dw = -0.06598, nw = 1651 140615.0034.ec.fits: ap = 60, w1 = 5116.811, w2 = 5008.913, dw = -0.06539, nw = 1651 140615.0034.ec.fits: ap = 61, w1 = 5071.537, w2 = 4964.596, dw = -0.06481, nw = 1651 140615.0034.ec.fits: ap = 62, w1 = 5027.058, w2 = 4921.057, dw = -0.06424, nw = 1651 140615.0034.ec.fits: ap = 63, w1 = 4983.353, w2 = 4878.275, dw = -0.06368, nw = 1651 140615.0034.ec.fits: ap = 64, w1 = 4940.401, w2 = 4836.23, dw = -0.06313, nw = 1651 140615.0034.ec.fits: ap = 65, w1 = 4898.183, w2 = 4794.905, dw = -0.06259, nw = 1651 140615.0034.ec.fits: ap = 66, w1 = 4856.681, w2 = 4754.28, dw = -0.06206, nw = 1651 140615.0034.ec.fits: ap = 67, w1 = 4815.876, w2 = 4714.338, dw = -0.06154, nw = 1651 140615.0034.ec.fits: ap = 68, w1 = 4775.752, w2 = 4675.062, dw = -0.06102, nw = 1651 140615.0034.ec.fits: ap = 69, w1 = 4736.291, w2 = 4636.435, dw = -0.06052, nw = 1651 140615.0034.ec.fits: ap = 70, w1 = 4697.476, w2 = 4598.441, dw = -0.06002, nw = 1651 140615.0034.ec.fits: ap = 71, w1 = 4659.293, w2 = 4561.065, dw = -0.05953, nw = 1651 140615.0034.ec.fits: ap = 72, w1 = 4621.726, w2 = 4524.292, dw = -0.05905, nw = 1651 140615.0034.ec.fits: ap = 73, w1 = 4584.76, w2 = 4488.107, dw = -0.05858, nw = 1651 140615.0034.ec.fits: ap = 74, w1 = 4548.381, w2 = 4452.497, dw = -0.05811, nw = 1651 140615.0034.ec.fits: ap = 75, w1 = 4512.574, w2 = 4417.448, dw = -0.05765, nw = 1651 140615.0034.ec.fits: ap = 76, w1 = 4477.327, w2 = 4382.947, dw = -0.0572, nw = 1651 140615.0034.ec.fits: ap = 77, w1 = 4442.627, w2 = 4348.98, dw = -0.05676, nw = 1651 140615.0034.ec.fits: ap = 78, w1 = 4408.46, w2 = 4315.536, dw = -0.05632, nw = 1651 140615.0034.ec.fits: ap = 79, w1 = 4374.816, w2 = 4282.603, dw = -0.05589, nw = 1651 140615.0034.ec.fits: ap = 80, w1 = 4341.68, w2 = 4250.168, dw = -0.05546, nw = 1651 140615.0034.ec.fits: ap = 81, w1 = 4309.043, w2 = 4218.222, dw = -0.05504, nw = 1651 140615.0034.ec.fits: ap = 82, w1 = 4276.894, w2 = 4186.752, dw = -0.05463, nw = 1651 140615.0034.ec.fits: ap = 83, w1 = 4245.22, w2 = 4155.749, dw = -0.05422, nw = 1651 140615.0034.ec.fits: ap = 84, w1 = 4214.012, w2 = 4125.202, dw = -0.05382, nw = 1651 140615.0034.ec.fits: ap = 85, w1 = 4183.26, w2 = 4095.1, dw = -0.05343, nw = 1651 140615.0034.ec.fits: ap = 86, w1 = 4152.954, w2 = 4065.435, dw = -0.05304, nw = 1651 140615.0034.ec.fits: ap = 87, w1 = 4123.083, w2 = 4036.197, dw = -0.05266, nw = 1651 140615.0034.ec.fits: ap = 88, w1 = 4093.639, w2 = 4007.377, dw = -0.05228, nw = 1651 140615.0034.ec.fits: ap = 89, w1 = 4064.613, w2 = 3978.965, dw = -0.05191, nw = 1651 140615.0034.ec.fits: ap = 90, w1 = 4035.996, w2 = 3950.953, dw = -0.05154, nw = 1651 140615.0034.ec.fits: ap = 91, w1 = 4007.779, w2 = 3923.334, dw = -0.05118, nw = 1651 140615.0034.ec.fits: ap = 92, w1 = 3979.953, w2 = 3896.097, dw = -0.05082, nw = 1651 140615.0034.ec.fits: ap = 93, w1 = 3952.511, w2 = 3869.237, dw = -0.05047, nw = 1651 140615.0034.ec.fits: ap = 94, w1 = 3925.446, w2 = 3842.744, dw = -0.05012, nw = 1651 140615.0034.ec.fits: ap = 95, w1 = 3898.748, w2 = 3816.612, dw = -0.04978, nw = 1651 140615.0034.ec.fits: ap = 96, w1 = 3872.411, w2 = 3790.833, dw = -0.04944, nw = 1651 140615.0034.ec.fits: ap = 97, w1 = 3846.427, w2 = 3765.401, dw = -0.04911, nw = 1651 140615.0034.ec.fits: ap = 98, w1 = 3820.79, w2 = 3740.307, dw = -0.04878, nw = 1651 140615.0034.ec.fits: ap = 99, w1 = 3795.492, w2 = 3715.545, dw = -0.04845, nw = 1651 140615.0034.ec.fits: ap = 100, w1 = 3770.528, w2 = 3691.11, dw = -0.04813, nw = 1651 140615.0034.ec.fits: ap = 101, w1 = 3745.889, w2 = 3666.993, dw = -0.04782, nw = 1651 140615.0034.ec.fits: ap = 102, w1 = 3721.57, w2 = 3643.19, dw = -0.0475, nw = 1651 140615.0034.ec.fits: ap = 103, w1 = 3697.565, w2 = 3619.694, dw = -0.04719, nw = 1651 140615.0034.ec.fits: ap = 104, w1 = 3673.867, w2 = 3596.499, dw = -0.04689, nw = 1651 140615.0034.ec.fits: ap = 105, w1 = 3650.471, w2 = 3573.6, dw = -0.04659, nw = 1651 140615.0034.ec.fits: ap = 106, w1 = 3627.371, w2 = 3550.99, dw = -0.04629, nw = 1651 140615.0034.ec.fits: ap = 107, w1 = 3604.562, w2 = 3528.665, dw = -0.046, nw = 1651 140615.0034.ec.fits: ap = 108, w1 = 3582.037, w2 = 3506.619, dw = -0.04571, nw = 1651 140615.0034.ec.fits: ap = 109, w1 = 3559.793, w2 = 3484.846, dw = -0.04542, nw = 1651 140615.0034.ec.fits: ap = 110, w1 = 3537.822, w2 = 3463.342, dw = -0.04514, nw = 1651 140615.0034.ec.fits: ap = 111, w1 = 3516.121, w2 = 3442.102, dw = -0.04486, nw = 1651 140615.0034.ec.fits: ap = 112, w1 = 3494.685, w2 = 3421.121, dw = -0.04458, nw = 1651 140615.0034.ec.fits: ap = 113, w1 = 3473.508, w2 = 3400.395, dw = -0.04431, nw = 1651 140615.0034.ec.fits: ap = 114, w1 = 3452.586, w2 = 3379.917, dw = -0.04404, nw = 1651 140615.0034.ec.fits: ap = 115, w1 = 3431.914, w2 = 3359.685, dw = -0.04378, nw = 1651 EchelleThAr.0017.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' zEchelleThAr.0017.ec.fits: ap = 1, w1 = 10812.24, w2 = 10583.99, dw = -0.13834, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 2, w1 = 10612.02, w2 = 10388., dw = -0.13577, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 3, w1 = 10419.08, w2 = 10199.14, dw = -0.13329, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 4, w1 = 10233.03, w2 = 10017.03, dw = -0.13091, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 5, w1 = 10053.51, w2 = 9841.31, dw = -0.12861, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 6, w1 = 9880.183, w2 = 9671.647, dw = -0.12639, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 7, w1 = 9712.73, w2 = 9507.736, dw = -0.12424, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 8, w1 = 9550.859, w2 = 9349.288, dw = -0.12216, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 9, w1 = 9394.296, w2 = 9196.036, dw = -0.12016, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 10, w1 = 9242.783, w2 = 9047.727, dw = -0.11822, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 11, w1 = 9096.081, w2 = 8904.126, dw = -0.11634, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 12, w1 = 8953.963, w2 = 8765.013, dw = -0.11451, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 13, w1 = 8816.218, w2 = 8630.181, dw = -0.11275, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 14, w1 = 8682.648, w2 = 8499.434, dw = -0.11104, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 15, w1 = 8553.064, w2 = 8372.591, dw = -0.10938, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 16, w1 = 8427.293, w2 = 8249.478, dw = -0.10777, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 17, w1 = 8305.167, w2 = 8129.933, dw = -0.1062, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 18, w1 = 8186.53, w2 = 8013.804, dw = -0.10468, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 19, w1 = 8071.236, w2 = 7900.947, dw = -0.10321, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 20, w1 = 7959.144, w2 = 7791.224, dw = -0.10177, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 21, w1 = 7850.124, w2 = 7684.507, dw = -0.10037, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 22, w1 = 7744.05, w2 = 7580.675, dw = -0.09901, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 23, w1 = 7640.804, w2 = 7479.611, dw = -0.09769, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 24, w1 = 7540.276, w2 = 7381.207, dw = -0.09641, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 25, w1 = 7442.359, w2 = 7285.359, dw = -0.09515, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 26, w1 = 7346.953, w2 = 7191.969, dw = -0.09393, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 27, w1 = 7253.962, w2 = 7100.943, dw = -0.09274, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 28, w1 = 7163.296, w2 = 7012.193, dw = -0.09158, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 29, w1 = 7074.869, w2 = 6925.633, dw = -0.09045, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 30, w1 = 6988.599, w2 = 6841.186, dw = -0.08934, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 31, w1 = 6904.407, w2 = 6758.773, dw = -0.08826, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 32, w1 = 6822.221, w2 = 6678.322, dw = -0.08721, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 33, w1 = 6741.968, w2 = 6599.764, dw = -0.08618, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 34, w1 = 6663.581, w2 = 6523.033, dw = -0.08518, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 35, w1 = 6586.996, w2 = 6448.066, dw = -0.0842, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 36, w1 = 6512.153, w2 = 6374.803, dw = -0.08324, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 37, w1 = 6438.991, w2 = 6303.186, dw = -0.08231, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 38, w1 = 6367.454, w2 = 6233.161, dw = -0.08139, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 39, w1 = 6297.491, w2 = 6164.674, dw = -0.08049, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 40, w1 = 6229.048, w2 = 6097.677, dw = -0.07962, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 41, w1 = 6162.077, w2 = 6032.12, dw = -0.07876, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 42, w1 = 6096.531, w2 = 5967.959, dw = -0.07792, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 43, w1 = 6032.365, w2 = 5905.148, dw = -0.0771, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 44, w1 = 5969.536, w2 = 5843.645, dw = -0.0763, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 45, w1 = 5908.003, w2 = 5783.411, dw = -0.07551, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 46, w1 = 5847.725, w2 = 5724.406, dw = -0.07474, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 47, w1 = 5788.665, w2 = 5666.593, dw = -0.07398, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 48, w1 = 5730.786, w2 = 5609.936, dw = -0.07324, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 49, w1 = 5674.054, w2 = 5554.402, dw = -0.07252, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 50, w1 = 5618.434, w2 = 5499.956, dw = -0.0718, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 51, w1 = 5563.894, w2 = 5446.568, dw = -0.07111, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 52, w1 = 5510.403, w2 = 5394.206, dw = -0.07042, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 53, w1 = 5457.931, w2 = 5342.842, dw = -0.06975, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 54, w1 = 5406.449, w2 = 5292.447, dw = -0.06909, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 55, w1 = 5355.93, w2 = 5242.994, dw = -0.06845, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 56, w1 = 5306.346, w2 = 5194.457, dw = -0.06781, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 57, w1 = 5257.672, w2 = 5146.811, dw = -0.06719, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 58, w1 = 5209.883, w2 = 5100.031, dw = -0.06658, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 59, w1 = 5162.956, w2 = 5054.094, dw = -0.06598, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 60, w1 = 5116.866, w2 = 5008.977, dw = -0.06539, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 61, w1 = 5071.593, w2 = 4964.659, dw = -0.06481, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 62, w1 = 5027.114, w2 = 4921.119, dw = -0.06424, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 63, w1 = 4983.408, w2 = 4878.336, dw = -0.06368, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 64, w1 = 4940.456, w2 = 4836.291, dw = -0.06313, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 65, w1 = 4898.239, w2 = 4794.965, dw = -0.06259, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 66, w1 = 4856.737, w2 = 4754.34, dw = -0.06206, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 67, w1 = 4815.933, w2 = 4714.397, dw = -0.06154, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 68, w1 = 4775.809, w2 = 4675.12, dw = -0.06102, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 69, w1 = 4736.349, w2 = 4636.493, dw = -0.06052, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 70, w1 = 4697.536, w2 = 4598.499, dw = -0.06002, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 71, w1 = 4659.354, w2 = 4561.123, dw = -0.05953, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 72, w1 = 4621.788, w2 = 4524.351, dw = -0.05905, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 73, w1 = 4584.823, w2 = 4488.166, dw = -0.05858, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 74, w1 = 4548.446, w2 = 4452.557, dw = -0.05811, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 75, w1 = 4512.641, w2 = 4417.508, dw = -0.05766, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 76, w1 = 4477.397, w2 = 4383.008, dw = -0.05721, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 77, w1 = 4442.698, w2 = 4349.042, dw = -0.05676, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 78, w1 = 4408.534, w2 = 4315.599, dw = -0.05632, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 79, w1 = 4374.892, w2 = 4282.668, dw = -0.05589, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 80, w1 = 4341.76, w2 = 4250.235, dw = -0.05547, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 81, w1 = 4309.126, w2 = 4218.29, dw = -0.05505, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 82, w1 = 4276.98, w2 = 4186.823, dw = -0.05464, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 83, w1 = 4245.311, w2 = 4155.822, dw = -0.05424, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 84, w1 = 4214.107, w2 = 4125.277, dw = -0.05384, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 85, w1 = 4183.359, w2 = 4095.179, dw = -0.05344, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 86, w1 = 4153.057, w2 = 4065.517, dw = -0.05305, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 87, w1 = 4123.192, w2 = 4036.282, dw = -0.05267, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 88, w1 = 4093.753, w2 = 4007.465, dw = -0.0523, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 89, w1 = 4064.733, w2 = 3979.058, dw = -0.05192, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 90, w1 = 4036.122, w2 = 3951.051, dw = -0.05156, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 91, w1 = 4007.911, w2 = 3923.436, dw = -0.0512, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 92, w1 = 3980.092, w2 = 3896.205, dw = -0.05084, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 93, w1 = 3952.658, w2 = 3869.35, dw = -0.05049, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 94, w1 = 3925.599, w2 = 3842.863, dw = -0.05014, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 95, w1 = 3898.91, w2 = 3816.737, dw = -0.0498, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 96, w1 = 3872.581, w2 = 3790.965, dw = -0.04946, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 97, w1 = 3846.607, w2 = 3765.539, dw = -0.04913, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 98, w1 = 3820.979, w2 = 3740.452, dw = -0.0488, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 99, w1 = 3795.691, w2 = 3715.698, dw = -0.04848, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 100, w1 = 3770.736, w2 = 3691.271, dw = -0.04816, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 101, w1 = 3746.108, w2 = 3667.163, dw = -0.04785, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 102, w1 = 3721.8, w2 = 3643.369, dw = -0.04753, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 103, w1 = 3697.807, w2 = 3619.882, dw = -0.04723, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 104, w1 = 3674.122, w2 = 3596.698, dw = -0.04692, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 105, w1 = 3650.738, w2 = 3573.809, dw = -0.04662, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 106, w1 = 3627.652, w2 = 3551.21, dw = -0.04633, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 107, w1 = 3604.856, w2 = 3528.896, dw = -0.04604, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 108, w1 = 3582.346, w2 = 3506.862, dw = -0.04575, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 109, w1 = 3560.117, w2 = 3485.102, dw = -0.04546, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 110, w1 = 3538.162, w2 = 3463.611, dw = -0.04518, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 111, w1 = 3516.477, w2 = 3442.384, dw = -0.0449, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 112, w1 = 3495.057, w2 = 3421.417, dw = -0.04463, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 113, w1 = 3473.898, w2 = 3400.705, dw = -0.04436, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 114, w1 = 3452.994, w2 = 3380.243, dw = -0.04409, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 115, w1 = 3432.341, w2 = 3360.027, dw = -0.04383, nw = 1651 EchelleThAr.0018.ec.fits: REFSPEC1 = 'EchelleThAr.0018.ec 1.' zEchelleThAr.0018.ec.fits: ap = 1, w1 = 10812.11, w2 = 10583.92, dw = -0.1383, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 2, w1 = 10611.9, w2 = 10387.94, dw = -0.13573, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 3, w1 = 10418.98, w2 = 10199.1, dw = -0.13326, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 4, w1 = 10232.94, w2 = 10016.99, dw = -0.13088, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 5, w1 = 10053.43, w2 = 9841.274, dw = -0.12858, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 6, w1 = 9880.114, w2 = 9671.616, dw = -0.12636, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 7, w1 = 9712.67, w2 = 9507.71, dw = -0.12422, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 8, w1 = 9550.807, w2 = 9349.266, dw = -0.12215, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 9, w1 = 9394.25, w2 = 9196.017, dw = -0.12014, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 10, w1 = 9242.744, w2 = 9047.711, dw = -0.1182, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 11, w1 = 9096.047, w2 = 8904.113, dw = -0.11632, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 12, w1 = 8953.934, w2 = 8765.002, dw = -0.1145, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 13, w1 = 8816.193, w2 = 8630.171, dw = -0.11274, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 14, w1 = 8682.627, w2 = 8499.426, dw = -0.11103, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 15, w1 = 8553.047, w2 = 8372.583, dw = -0.10937, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 16, w1 = 8427.278, w2 = 8249.471, dw = -0.10776, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 17, w1 = 8305.155, w2 = 8129.927, dw = -0.1062, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 18, w1 = 8186.521, w2 = 8013.798, dw = -0.10468, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 19, w1 = 8071.228, w2 = 7900.941, dw = -0.1032, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 20, w1 = 7959.138, w2 = 7791.218, dw = -0.10177, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 21, w1 = 7850.119, w2 = 7684.501, dw = -0.10037, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 22, w1 = 7744.046, w2 = 7580.669, dw = -0.09902, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 23, w1 = 7640.802, w2 = 7479.605, dw = -0.0977, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 24, w1 = 7540.274, w2 = 7381.201, dw = -0.09641, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 25, w1 = 7442.358, w2 = 7285.352, dw = -0.09516, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 26, w1 = 7346.953, w2 = 7191.961, dw = -0.09393, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 27, w1 = 7253.962, w2 = 7100.935, dw = -0.09274, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 28, w1 = 7163.297, w2 = 7012.184, dw = -0.09158, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 29, w1 = 7074.87, w2 = 6925.624, dw = -0.09045, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 30, w1 = 6988.6, w2 = 6841.176, dw = -0.08935, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 31, w1 = 6904.408, w2 = 6758.763, dw = -0.08827, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 32, w1 = 6822.221, w2 = 6678.311, dw = -0.08722, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 33, w1 = 6741.968, w2 = 6599.753, dw = -0.08619, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 34, w1 = 6663.582, w2 = 6523.022, dw = -0.08519, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 35, w1 = 6586.997, w2 = 6448.055, dw = -0.08421, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 36, w1 = 6512.153, w2 = 6374.791, dw = -0.08325, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 37, w1 = 6438.991, w2 = 6303.174, dw = -0.08231, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 38, w1 = 6367.455, w2 = 6233.149, dw = -0.0814, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 39, w1 = 6297.491, w2 = 6164.663, dw = -0.0805, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 40, w1 = 6229.048, w2 = 6097.665, dw = -0.07963, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 41, w1 = 6162.078, w2 = 6032.109, dw = -0.07877, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 42, w1 = 6096.532, w2 = 5967.947, dw = -0.07793, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 43, w1 = 6032.366, w2 = 5905.136, dw = -0.07711, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 44, w1 = 5969.537, w2 = 5843.634, dw = -0.0763, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 45, w1 = 5908.003, w2 = 5783.4, dw = -0.07552, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 46, w1 = 5847.725, w2 = 5724.395, dw = -0.07475, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 47, w1 = 5788.666, w2 = 5666.583, dw = -0.07399, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 48, w1 = 5730.787, w2 = 5609.927, dw = -0.07325, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 49, w1 = 5674.055, w2 = 5554.393, dw = -0.07252, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 50, w1 = 5618.435, w2 = 5499.948, dw = -0.07181, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 51, w1 = 5563.895, w2 = 5446.56, dw = -0.07111, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 52, w1 = 5510.404, w2 = 5394.199, dw = -0.07043, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 53, w1 = 5457.932, w2 = 5342.835, dw = -0.06976, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 54, w1 = 5406.45, w2 = 5292.441, dw = -0.0691, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 55, w1 = 5355.931, w2 = 5242.989, dw = -0.06845, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 56, w1 = 5306.347, w2 = 5194.452, dw = -0.06781, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 57, w1 = 5257.673, w2 = 5146.807, dw = -0.06719, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 58, w1 = 5209.884, w2 = 5100.028, dw = -0.06658, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 59, w1 = 5162.956, w2 = 5054.091, dw = -0.06598, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 60, w1 = 5116.867, w2 = 5008.976, dw = -0.06539, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 61, w1 = 5071.593, w2 = 4964.658, dw = -0.06481, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 62, w1 = 5027.113, w2 = 4921.119, dw = -0.06424, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 63, w1 = 4983.407, w2 = 4878.337, dw = -0.06368, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 64, w1 = 4940.455, w2 = 4836.292, dw = -0.06313, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 65, w1 = 4898.237, w2 = 4794.966, dw = -0.06259, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 66, w1 = 4856.735, w2 = 4754.341, dw = -0.06206, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 67, w1 = 4815.93, w2 = 4714.399, dw = -0.06153, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 68, w1 = 4775.806, w2 = 4675.123, dw = -0.06102, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 69, w1 = 4736.344, w2 = 4636.496, dw = -0.06051, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 70, w1 = 4697.53, w2 = 4598.502, dw = -0.06002, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 71, w1 = 4659.347, w2 = 4561.126, dw = -0.05953, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 72, w1 = 4621.78, w2 = 4524.353, dw = -0.05905, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 73, w1 = 4584.814, w2 = 4488.169, dw = -0.05857, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 74, w1 = 4548.434, w2 = 4452.559, dw = -0.05811, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 75, w1 = 4512.628, w2 = 4417.509, dw = -0.05765, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 76, w1 = 4477.381, w2 = 4383.008, dw = -0.0572, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 77, w1 = 4442.681, w2 = 4349.042, dw = -0.05675, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 78, w1 = 4408.515, w2 = 4315.598, dw = -0.05631, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 79, w1 = 4374.87, w2 = 4282.665, dw = -0.05588, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 80, w1 = 4341.735, w2 = 4250.231, dw = -0.05546, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 81, w1 = 4309.098, w2 = 4218.285, dw = -0.05504, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 82, w1 = 4276.949, w2 = 4186.816, dw = -0.05463, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 83, w1 = 4245.275, w2 = 4155.813, dw = -0.05422, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 84, w1 = 4214.068, w2 = 4125.266, dw = -0.05382, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 85, w1 = 4183.316, w2 = 4095.165, dw = -0.05343, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 86, w1 = 4153.01, w2 = 4065.5, dw = -0.05304, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 87, w1 = 4123.14, w2 = 4036.262, dw = -0.05265, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 88, w1 = 4093.697, w2 = 4007.442, dw = -0.05228, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 89, w1 = 4064.671, w2 = 3979.031, dw = -0.0519, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 90, w1 = 4036.054, w2 = 3951.02, dw = -0.05154, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 91, w1 = 4007.837, w2 = 3923.401, dw = -0.05117, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 92, w1 = 3980.012, w2 = 3896.165, dw = -0.05082, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 93, w1 = 3952.571, w2 = 3869.305, dw = -0.05046, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 94, w1 = 3925.506, w2 = 3842.813, dw = -0.05012, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 95, w1 = 3898.809, w2 = 3816.682, dw = -0.04977, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 96, w1 = 3872.473, w2 = 3790.904, dw = -0.04944, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 97, w1 = 3846.49, w2 = 3765.471, dw = -0.0491, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 98, w1 = 3820.854, w2 = 3740.378, dw = -0.04877, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 99, w1 = 3795.557, w2 = 3715.617, dw = -0.04845, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 100, w1 = 3770.593, w2 = 3691.182, dw = -0.04813, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 101, w1 = 3745.955, w2 = 3667.067, dw = -0.04781, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 102, w1 = 3721.637, w2 = 3643.264, dw = -0.0475, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 103, w1 = 3697.632, w2 = 3619.769, dw = -0.04719, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 104, w1 = 3673.936, w2 = 3596.575, dw = -0.04689, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 105, w1 = 3650.541, w2 = 3573.676, dw = -0.04658, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 106, w1 = 3627.442, w2 = 3551.067, dw = -0.04629, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 107, w1 = 3604.634, w2 = 3528.743, dw = -0.04599, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 108, w1 = 3582.11, w2 = 3506.697, dw = -0.04571, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 109, w1 = 3559.867, w2 = 3484.925, dw = -0.04542, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 110, w1 = 3537.897, w2 = 3463.422, dw = -0.04514, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 111, w1 = 3516.198, w2 = 3442.183, dw = -0.04486, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 112, w1 = 3494.762, w2 = 3421.203, dw = -0.04458, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 113, w1 = 3473.587, w2 = 3400.477, dw = -0.04431, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 114, w1 = 3452.666, w2 = 3380., dw = -0.04404, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 115, w1 = 3431.996, w2 = 3359.769, dw = -0.04377, nw = 1651 EchelleThAr.0019.ec.fits: REFSPEC1 = 'EchelleThAr.0019.ec 1.' zEchelleThAr.0019.ec.fits: ap = 1, w1 = 10812.08, w2 = 10583.95, dw = -0.13826, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 2, w1 = 10611.88, w2 = 10387.97, dw = -0.1357, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 3, w1 = 10418.95, w2 = 10199.11, dw = -0.13324, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 4, w1 = 10232.92, w2 = 10017., dw = -0.13086, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 5, w1 = 10053.41, w2 = 9841.283, dw = -0.12856, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 6, w1 = 9880.093, w2 = 9671.622, dw = -0.12635, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 7, w1 = 9712.649, w2 = 9507.711, dw = -0.1242, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 8, w1 = 9550.787, w2 = 9349.265, dw = -0.12213, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 9, w1 = 9394.231, w2 = 9196.013, dw = -0.12013, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 10, w1 = 9242.725, w2 = 9047.704, dw = -0.11819, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 11, w1 = 9096.029, w2 = 8904.104, dw = -0.11632, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 12, w1 = 8953.916, w2 = 8764.991, dw = -0.1145, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 13, w1 = 8816.176, w2 = 8630.158, dw = -0.11274, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 14, w1 = 8682.61, w2 = 8499.412, dw = -0.11103, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 15, w1 = 8553.03, w2 = 8372.568, dw = -0.10937, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 16, w1 = 8427.262, w2 = 8249.455, dw = -0.10776, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 17, w1 = 8305.139, w2 = 8129.91, dw = -0.1062, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 18, w1 = 8186.505, w2 = 8013.781, dw = -0.10468, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 19, w1 = 8071.213, w2 = 7900.923, dw = -0.10321, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 20, w1 = 7959.123, w2 = 7791.199, dw = -0.10177, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 21, w1 = 7850.104, w2 = 7684.482, dw = -0.10038, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 22, w1 = 7744.031, w2 = 7580.65, dw = -0.09902, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 23, w1 = 7640.787, w2 = 7479.586, dw = -0.0977, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 24, w1 = 7540.26, w2 = 7381.182, dw = -0.09641, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 25, w1 = 7442.344, w2 = 7285.333, dw = -0.09516, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 26, w1 = 7346.939, w2 = 7191.943, dw = -0.09394, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 27, w1 = 7253.949, w2 = 7100.917, dw = -0.09275, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 28, w1 = 7163.283, w2 = 7012.166, dw = -0.09159, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 29, w1 = 7074.857, w2 = 6925.607, dw = -0.09045, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 30, w1 = 6988.587, w2 = 6841.159, dw = -0.08935, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 31, w1 = 6904.395, w2 = 6758.746, dw = -0.08827, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 32, w1 = 6822.209, w2 = 6678.295, dw = -0.08722, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 33, w1 = 6741.956, w2 = 6599.738, dw = -0.08619, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 34, w1 = 6663.57, w2 = 6523.007, dw = -0.08519, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 35, w1 = 6586.986, w2 = 6448.04, dw = -0.08421, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 36, w1 = 6512.142, w2 = 6374.777, dw = -0.08325, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 37, w1 = 6438.98, w2 = 6303.161, dw = -0.08231, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 38, w1 = 6367.444, w2 = 6233.136, dw = -0.0814, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 39, w1 = 6297.481, w2 = 6164.65, dw = -0.0805, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 40, w1 = 6229.038, w2 = 6097.653, dw = -0.07963, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 41, w1 = 6162.068, w2 = 6032.097, dw = -0.07877, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 42, w1 = 6096.522, w2 = 5967.936, dw = -0.07793, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 43, w1 = 6032.356, w2 = 5905.126, dw = -0.07711, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 44, w1 = 5969.528, w2 = 5843.624, dw = -0.07631, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 45, w1 = 5907.994, w2 = 5783.39, dw = -0.07552, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 46, w1 = 5847.717, w2 = 5724.386, dw = -0.07475, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 47, w1 = 5788.657, w2 = 5666.574, dw = -0.07399, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 48, w1 = 5730.779, w2 = 5609.918, dw = -0.07325, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 49, w1 = 5674.047, w2 = 5554.384, dw = -0.07252, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 50, w1 = 5618.427, w2 = 5499.94, dw = -0.07181, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 51, w1 = 5563.888, w2 = 5446.552, dw = -0.07111, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 52, w1 = 5510.397, w2 = 5394.191, dw = -0.07043, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 53, w1 = 5457.925, w2 = 5342.828, dw = -0.06976, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 54, w1 = 5406.444, w2 = 5292.434, dw = -0.0691, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 55, w1 = 5355.924, w2 = 5242.982, dw = -0.06845, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 56, w1 = 5306.341, w2 = 5194.445, dw = -0.06782, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 57, w1 = 5257.667, w2 = 5146.8, dw = -0.06719, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 58, w1 = 5209.878, w2 = 5100.02, dw = -0.06658, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 59, w1 = 5162.95, w2 = 5054.084, dw = -0.06598, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 60, w1 = 5116.861, w2 = 5008.968, dw = -0.06539, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 61, w1 = 5071.587, w2 = 4964.651, dw = -0.06481, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 62, w1 = 5027.108, w2 = 4921.111, dw = -0.06424, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 63, w1 = 4983.402, w2 = 4878.329, dw = -0.06368, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 64, w1 = 4940.45, w2 = 4836.284, dw = -0.06313, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 65, w1 = 4898.232, w2 = 4794.958, dw = -0.06259, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 66, w1 = 4856.729, w2 = 4754.333, dw = -0.06206, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 67, w1 = 4815.925, w2 = 4714.39, dw = -0.06154, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 68, w1 = 4775.8, w2 = 4675.113, dw = -0.06102, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 69, w1 = 4736.338, w2 = 4636.486, dw = -0.06052, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 70, w1 = 4697.524, w2 = 4598.492, dw = -0.06002, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 71, w1 = 4659.341, w2 = 4561.115, dw = -0.05953, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 72, w1 = 4621.773, w2 = 4524.342, dw = -0.05905, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 73, w1 = 4584.807, w2 = 4488.157, dw = -0.05858, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 74, w1 = 4548.427, w2 = 4452.547, dw = -0.05811, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 75, w1 = 4512.62, w2 = 4417.497, dw = -0.05765, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 76, w1 = 4477.373, w2 = 4382.995, dw = -0.0572, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 77, w1 = 4442.672, w2 = 4349.028, dw = -0.05675, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 78, w1 = 4408.505, w2 = 4315.584, dw = -0.05632, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 79, w1 = 4374.86, w2 = 4282.65, dw = -0.05588, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 80, w1 = 4341.724, w2 = 4250.216, dw = -0.05546, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 81, w1 = 4309.087, w2 = 4218.269, dw = -0.05504, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 82, w1 = 4276.937, w2 = 4186.799, dw = -0.05463, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 83, w1 = 4245.263, w2 = 4155.796, dw = -0.05422, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 84, w1 = 4214.054, w2 = 4125.248, dw = -0.05382, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 85, w1 = 4183.301, w2 = 4095.146, dw = -0.05343, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 86, w1 = 4152.994, w2 = 4065.481, dw = -0.05304, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 87, w1 = 4123.123, w2 = 4036.243, dw = -0.05265, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 88, w1 = 4093.679, w2 = 4007.422, dw = -0.05228, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 89, w1 = 4064.651, w2 = 3979.01, dw = -0.0519, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 90, w1 = 4036.033, w2 = 3950.998, dw = -0.05154, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 91, w1 = 4007.815, w2 = 3923.379, dw = -0.05117, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 92, w1 = 3979.989, w2 = 3896.142, dw = -0.05082, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 93, w1 = 3952.546, w2 = 3869.282, dw = -0.05046, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 94, w1 = 3925.479, w2 = 3842.79, dw = -0.05011, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 95, w1 = 3898.78, w2 = 3816.658, dw = -0.04977, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 96, w1 = 3872.442, w2 = 3790.879, dw = -0.04943, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 97, w1 = 3846.457, w2 = 3765.446, dw = -0.0491, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 98, w1 = 3820.819, w2 = 3740.352, dw = -0.04877, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 99, w1 = 3795.52, w2 = 3715.591, dw = -0.04844, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 100, w1 = 3770.553, w2 = 3691.156, dw = -0.04812, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 101, w1 = 3745.913, w2 = 3667.04, dw = -0.0478, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 102, w1 = 3721.593, w2 = 3643.237, dw = -0.04749, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 103, w1 = 3697.586, w2 = 3619.741, dw = -0.04718, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 104, w1 = 3673.887, w2 = 3596.547, dw = -0.04687, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 105, w1 = 3650.489, w2 = 3573.648, dw = -0.04657, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 106, w1 = 3627.387, w2 = 3551.039, dw = -0.04627, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 107, w1 = 3604.576, w2 = 3528.714, dw = -0.04598, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 108, w1 = 3582.049, w2 = 3506.669, dw = -0.04569, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 109, w1 = 3559.802, w2 = 3484.897, dw = -0.0454, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 110, w1 = 3537.83, w2 = 3463.394, dw = -0.04511, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 111, w1 = 3516.127, w2 = 3442.155, dw = -0.04483, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 112, w1 = 3494.688, w2 = 3421.174, dw = -0.04455, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 113, w1 = 3473.508, w2 = 3400.449, dw = -0.04428, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 114, w1 = 3452.584, w2 = 3379.972, dw = -0.04401, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 115, w1 = 3431.91, w2 = 3359.741, dw = -0.04374, nw = 1651 EchelleThAr.0020.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' zEchelleThAr.0020.ec.fits: ap = 1, w1 = 10812.11, w2 = 10583.93, dw = -0.13829, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 2, w1 = 10611.9, w2 = 10387.96, dw = -0.13573, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 3, w1 = 10418.98, w2 = 10199.1, dw = -0.13326, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 4, w1 = 10232.94, w2 = 10016.99, dw = -0.13088, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 5, w1 = 10053.43, w2 = 9841.274, dw = -0.12858, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 6, w1 = 9880.106, w2 = 9671.614, dw = -0.12636, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 7, w1 = 9712.66, w2 = 9507.705, dw = -0.12422, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 8, w1 = 9550.796, w2 = 9349.259, dw = -0.12214, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 9, w1 = 9394.239, w2 = 9196.008, dw = -0.12014, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 10, w1 = 9242.731, w2 = 9047.701, dw = -0.1182, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 11, w1 = 9096.033, w2 = 8904.101, dw = -0.11632, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 12, w1 = 8953.92, w2 = 8764.989, dw = -0.1145, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 13, w1 = 8816.179, w2 = 8630.157, dw = -0.11274, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 14, w1 = 8682.612, w2 = 8499.41, dw = -0.11103, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 15, w1 = 8553.032, w2 = 8372.567, dw = -0.10937, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 16, w1 = 8427.263, w2 = 8249.454, dw = -0.10776, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 17, w1 = 8305.14, w2 = 8129.909, dw = -0.1062, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 18, w1 = 8186.506, w2 = 8013.78, dw = -0.10468, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 19, w1 = 8071.213, w2 = 7900.922, dw = -0.10321, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 20, w1 = 7959.123, w2 = 7791.199, dw = -0.10177, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 21, w1 = 7850.104, w2 = 7684.482, dw = -0.10038, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 22, w1 = 7744.032, w2 = 7580.649, dw = -0.09902, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 23, w1 = 7640.788, w2 = 7479.586, dw = -0.0977, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 24, w1 = 7540.261, w2 = 7381.181, dw = -0.09641, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 25, w1 = 7442.345, w2 = 7285.333, dw = -0.09516, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 26, w1 = 7346.94, w2 = 7191.942, dw = -0.09394, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 27, w1 = 7253.95, w2 = 7100.916, dw = -0.09275, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 28, w1 = 7163.285, w2 = 7012.165, dw = -0.09159, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 29, w1 = 7074.858, w2 = 6925.606, dw = -0.09046, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 30, w1 = 6988.588, w2 = 6841.158, dw = -0.08935, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 31, w1 = 6904.397, w2 = 6758.745, dw = -0.08827, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 32, w1 = 6822.211, w2 = 6678.294, dw = -0.08722, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 33, w1 = 6741.958, w2 = 6599.736, dw = -0.0862, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 34, w1 = 6663.572, w2 = 6523.005, dw = -0.08519, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 35, w1 = 6586.988, w2 = 6448.038, dw = -0.08421, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 36, w1 = 6512.144, w2 = 6374.775, dw = -0.08325, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 37, w1 = 6438.983, w2 = 6303.159, dw = -0.08232, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 38, w1 = 6367.447, w2 = 6233.134, dw = -0.0814, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 39, w1 = 6297.483, w2 = 6164.648, dw = -0.08051, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 40, w1 = 6229.04, w2 = 6097.651, dw = -0.07963, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 41, w1 = 6162.07, w2 = 6032.095, dw = -0.07877, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 42, w1 = 6096.524, w2 = 5967.934, dw = -0.07793, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 43, w1 = 6032.358, w2 = 5905.123, dw = -0.07711, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 44, w1 = 5969.529, w2 = 5843.621, dw = -0.07631, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 45, w1 = 5907.996, w2 = 5783.388, dw = -0.07552, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 46, w1 = 5847.718, w2 = 5724.383, dw = -0.07475, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 47, w1 = 5788.659, w2 = 5666.571, dw = -0.07399, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 48, w1 = 5730.78, w2 = 5609.916, dw = -0.07325, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 49, w1 = 5674.048, w2 = 5554.382, dw = -0.07252, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 50, w1 = 5618.428, w2 = 5499.937, dw = -0.07181, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 51, w1 = 5563.888, w2 = 5446.549, dw = -0.07111, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 52, w1 = 5510.397, w2 = 5394.189, dw = -0.07043, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 53, w1 = 5457.925, w2 = 5342.825, dw = -0.06976, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 54, w1 = 5406.443, w2 = 5292.431, dw = -0.0691, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 55, w1 = 5355.923, w2 = 5242.979, dw = -0.06845, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 56, w1 = 5306.339, w2 = 5194.443, dw = -0.06782, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 57, w1 = 5257.665, w2 = 5146.797, dw = -0.06719, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 58, w1 = 5209.876, w2 = 5100.018, dw = -0.06658, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 59, w1 = 5162.948, w2 = 5054.082, dw = -0.06598, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 60, w1 = 5116.859, w2 = 5008.966, dw = -0.06539, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 61, w1 = 5071.585, w2 = 4964.649, dw = -0.06481, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 62, w1 = 5027.105, w2 = 4921.109, dw = -0.06424, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 63, w1 = 4983.399, w2 = 4878.327, dw = -0.06368, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 64, w1 = 4940.447, w2 = 4836.282, dw = -0.06313, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 65, w1 = 4898.228, w2 = 4794.957, dw = -0.06259, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 66, w1 = 4856.726, w2 = 4754.331, dw = -0.06206, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 67, w1 = 4815.921, w2 = 4714.389, dw = -0.06153, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 68, w1 = 4775.796, w2 = 4675.112, dw = -0.06102, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 69, w1 = 4736.335, w2 = 4636.485, dw = -0.06052, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 70, w1 = 4697.521, w2 = 4598.491, dw = -0.06002, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 71, w1 = 4659.337, w2 = 4561.115, dw = -0.05953, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 72, w1 = 4621.77, w2 = 4524.342, dw = -0.05905, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 73, w1 = 4584.804, w2 = 4488.157, dw = -0.05857, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 74, w1 = 4548.425, w2 = 4452.546, dw = -0.05811, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 75, w1 = 4512.618, w2 = 4417.497, dw = -0.05765, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 76, w1 = 4477.371, w2 = 4382.995, dw = -0.0572, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 77, w1 = 4442.671, w2 = 4349.028, dw = -0.05675, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 78, w1 = 4408.505, w2 = 4315.584, dw = -0.05632, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 79, w1 = 4374.86, w2 = 4282.65, dw = -0.05588, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 80, w1 = 4341.725, w2 = 4250.216, dw = -0.05546, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 81, w1 = 4309.089, w2 = 4218.269, dw = -0.05504, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 82, w1 = 4276.94, w2 = 4186.799, dw = -0.05463, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 83, w1 = 4245.267, w2 = 4155.795, dw = -0.05423, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 84, w1 = 4214.06, w2 = 4125.248, dw = -0.05383, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 85, w1 = 4183.308, w2 = 4095.146, dw = -0.05343, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 86, w1 = 4153.003, w2 = 4065.481, dw = -0.05304, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 87, w1 = 4123.133, w2 = 4036.242, dw = -0.05266, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 88, w1 = 4093.69, w2 = 4007.421, dw = -0.05228, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 89, w1 = 4064.665, w2 = 3979.009, dw = -0.05191, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 90, w1 = 4036.049, w2 = 3950.997, dw = -0.05155, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 91, w1 = 4007.833, w2 = 3923.377, dw = -0.05119, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 92, w1 = 3980.009, w2 = 3896.141, dw = -0.05083, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 93, w1 = 3952.569, w2 = 3869.28, dw = -0.05048, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 94, w1 = 3925.505, w2 = 3842.787, dw = -0.05013, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 95, w1 = 3898.809, w2 = 3816.655, dw = -0.04979, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 96, w1 = 3872.474, w2 = 3790.876, dw = -0.04945, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 97, w1 = 3846.493, w2 = 3765.442, dw = -0.04912, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 98, w1 = 3820.858, w2 = 3740.348, dw = -0.04879, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 99, w1 = 3795.562, w2 = 3715.586, dw = -0.04847, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 100, w1 = 3770.6, w2 = 3691.15, dw = -0.04815, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 101, w1 = 3745.963, w2 = 3667.034, dw = -0.04784, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 102, w1 = 3721.647, w2 = 3643.23, dw = -0.04753, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 103, w1 = 3697.645, w2 = 3619.734, dw = -0.04722, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 104, w1 = 3673.95, w2 = 3596.539, dw = -0.04692, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 105, w1 = 3650.558, w2 = 3573.639, dw = -0.04662, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 106, w1 = 3627.461, w2 = 3551.029, dw = -0.04632, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 107, w1 = 3604.655, w2 = 3528.703, dw = -0.04603, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 108, w1 = 3582.134, w2 = 3506.656, dw = -0.04574, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 109, w1 = 3559.893, w2 = 3484.884, dw = -0.04546, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 110, w1 = 3537.927, w2 = 3463.379, dw = -0.04518, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 111, w1 = 3516.23, w2 = 3442.139, dw = -0.0449, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 112, w1 = 3494.798, w2 = 3421.157, dw = -0.04463, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 113, w1 = 3473.626, w2 = 3400.43, dw = -0.04436, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 114, w1 = 3452.709, w2 = 3379.953, dw = -0.04409, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 115, w1 = 3432.042, w2 = 3359.72, dw = -0.04383, nw = 1651 EchelleThAr.0023.ec.fits: REFSPEC1 = 'EchelleThAr.0023.ec 1.' zEchelleThAr.0023.ec.fits: ap = 1, w1 = 10812.05, w2 = 10583.87, dw = -0.13829, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 2, w1 = 10611.84, w2 = 10387.9, dw = -0.13572, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 3, w1 = 10418.92, w2 = 10199.05, dw = -0.13326, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 4, w1 = 10232.88, w2 = 10016.94, dw = -0.13088, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 5, w1 = 10053.38, w2 = 9841.223, dw = -0.12858, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 6, w1 = 9880.061, w2 = 9671.565, dw = -0.12636, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 7, w1 = 9712.618, w2 = 9507.657, dw = -0.12422, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 8, w1 = 9550.756, w2 = 9349.213, dw = -0.12215, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 9, w1 = 9394.201, w2 = 9195.964, dw = -0.12014, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 10, w1 = 9242.696, w2 = 9047.658, dw = -0.11821, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 11, w1 = 9096.001, w2 = 8904.06, dw = -0.11633, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 12, w1 = 8953.889, w2 = 8764.949, dw = -0.11451, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 13, w1 = 8816.149, w2 = 8630.118, dw = -0.11275, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 14, w1 = 8682.583, w2 = 8499.373, dw = -0.11104, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 15, w1 = 8553.004, w2 = 8372.531, dw = -0.10938, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 16, w1 = 8427.236, w2 = 8249.419, dw = -0.10777, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 17, w1 = 8305.114, w2 = 8129.875, dw = -0.1062, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 18, w1 = 8186.48, w2 = 8013.747, dw = -0.10469, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 19, w1 = 8071.188, w2 = 7900.89, dw = -0.10321, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 20, w1 = 7959.098, w2 = 7791.168, dw = -0.10178, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 21, w1 = 7850.079, w2 = 7684.452, dw = -0.10038, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 22, w1 = 7744.007, w2 = 7580.62, dw = -0.09902, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 23, w1 = 7640.763, w2 = 7479.557, dw = -0.0977, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 24, w1 = 7540.236, w2 = 7381.153, dw = -0.09641, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 25, w1 = 7442.32, w2 = 7285.306, dw = -0.09516, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 26, w1 = 7346.914, w2 = 7191.916, dw = -0.09394, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 27, w1 = 7253.924, w2 = 7100.89, dw = -0.09275, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 28, w1 = 7163.258, w2 = 7012.14, dw = -0.09159, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 29, w1 = 7074.832, w2 = 6925.581, dw = -0.09046, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 30, w1 = 6988.562, w2 = 6841.133, dw = -0.08935, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 31, w1 = 6904.37, w2 = 6758.72, dw = -0.08827, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 32, w1 = 6822.184, w2 = 6678.27, dw = -0.08722, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 33, w1 = 6741.931, w2 = 6599.712, dw = -0.08619, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 34, w1 = 6663.544, w2 = 6522.982, dw = -0.08519, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 35, w1 = 6586.96, w2 = 6448.015, dw = -0.08421, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 36, w1 = 6512.116, w2 = 6374.752, dw = -0.08325, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 37, w1 = 6438.954, w2 = 6303.136, dw = -0.08231, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 38, w1 = 6367.418, w2 = 6233.111, dw = -0.0814, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 39, w1 = 6297.454, w2 = 6164.625, dw = -0.0805, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 40, w1 = 6229.011, w2 = 6097.628, dw = -0.07963, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 41, w1 = 6162.04, w2 = 6032.072, dw = -0.07877, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 42, w1 = 6096.494, w2 = 5967.911, dw = -0.07793, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 43, w1 = 6032.329, w2 = 5905.101, dw = -0.07711, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 44, w1 = 5969.5, w2 = 5843.599, dw = -0.0763, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 45, w1 = 5907.966, w2 = 5783.366, dw = -0.07552, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 46, w1 = 5847.689, w2 = 5724.361, dw = -0.07474, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 47, w1 = 5788.629, w2 = 5666.549, dw = -0.07399, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 48, w1 = 5730.751, w2 = 5609.893, dw = -0.07325, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 49, w1 = 5674.018, w2 = 5554.36, dw = -0.07252, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 50, w1 = 5618.399, w2 = 5499.915, dw = -0.07181, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 51, w1 = 5563.859, w2 = 5446.527, dw = -0.07111, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 52, w1 = 5510.369, w2 = 5394.166, dw = -0.07043, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 53, w1 = 5457.897, w2 = 5342.803, dw = -0.06975, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 54, w1 = 5406.416, w2 = 5292.409, dw = -0.0691, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 55, w1 = 5355.897, w2 = 5242.957, dw = -0.06845, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 56, w1 = 5306.313, w2 = 5194.421, dw = -0.06781, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 57, w1 = 5257.64, w2 = 5146.775, dw = -0.06719, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 58, w1 = 5209.852, w2 = 5099.996, dw = -0.06658, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 59, w1 = 5162.925, w2 = 5054.06, dw = -0.06598, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 60, w1 = 5116.836, w2 = 5008.944, dw = -0.06539, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 61, w1 = 5071.563, w2 = 4964.627, dw = -0.06481, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 62, w1 = 5027.084, w2 = 4921.088, dw = -0.06424, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 63, w1 = 4983.379, w2 = 4878.305, dw = -0.06368, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 64, w1 = 4940.427, w2 = 4836.261, dw = -0.06313, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 65, w1 = 4898.211, w2 = 4794.935, dw = -0.06259, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 66, w1 = 4856.709, w2 = 4754.31, dw = -0.06206, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 67, w1 = 4815.906, w2 = 4714.368, dw = -0.06154, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 68, w1 = 4775.782, w2 = 4675.091, dw = -0.06102, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 69, w1 = 4736.322, w2 = 4636.464, dw = -0.06052, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 70, w1 = 4697.509, w2 = 4598.471, dw = -0.06002, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 71, w1 = 4659.327, w2 = 4561.095, dw = -0.05953, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 72, w1 = 4621.761, w2 = 4524.322, dw = -0.05905, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 73, w1 = 4584.797, w2 = 4488.137, dw = -0.05858, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 74, w1 = 4548.419, w2 = 4452.527, dw = -0.05812, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 75, w1 = 4512.614, w2 = 4417.478, dw = -0.05766, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 76, w1 = 4477.369, w2 = 4382.977, dw = -0.05721, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 77, w1 = 4442.67, w2 = 4349.01, dw = -0.05676, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 78, w1 = 4408.506, w2 = 4315.567, dw = -0.05633, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 79, w1 = 4374.863, w2 = 4282.634, dw = -0.0559, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 80, w1 = 4341.73, w2 = 4250.2, dw = -0.05547, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 81, w1 = 4309.095, w2 = 4218.254, dw = -0.05506, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 82, w1 = 4276.948, w2 = 4186.785, dw = -0.05464, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 83, w1 = 4245.277, w2 = 4155.782, dw = -0.05424, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 84, w1 = 4214.072, w2 = 4125.235, dw = -0.05384, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 85, w1 = 4183.322, w2 = 4095.134, dw = -0.05345, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 86, w1 = 4153.019, w2 = 4065.47, dw = -0.05306, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 87, w1 = 4123.151, w2 = 4036.232, dw = -0.05268, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 88, w1 = 4093.71, w2 = 4007.412, dw = -0.0523, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 89, w1 = 4064.687, w2 = 3979.001, dw = -0.05193, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 90, w1 = 4036.073, w2 = 3950.99, dw = -0.05157, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 91, w1 = 4007.859, w2 = 3923.372, dw = -0.0512, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 92, w1 = 3980.037, w2 = 3896.136, dw = -0.05085, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 93, w1 = 3952.599, w2 = 3869.277, dw = -0.0505, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 94, w1 = 3925.537, w2 = 3842.786, dw = -0.05015, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 95, w1 = 3898.843, w2 = 3816.655, dw = -0.04981, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 96, w1 = 3872.51, w2 = 3790.877, dw = -0.04947, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 97, w1 = 3846.531, w2 = 3765.445, dw = -0.04914, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 98, w1 = 3820.898, w2 = 3740.353, dw = -0.04882, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 99, w1 = 3795.605, w2 = 3715.593, dw = -0.04849, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 100, w1 = 3770.644, w2 = 3691.158, dw = -0.04817, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 101, w1 = 3746.01, w2 = 3667.044, dw = -0.04786, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 102, w1 = 3721.696, w2 = 3643.242, dw = -0.04755, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 103, w1 = 3697.696, w2 = 3619.748, dw = -0.04724, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 104, w1 = 3674.003, w2 = 3596.555, dw = -0.04694, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 105, w1 = 3650.612, w2 = 3573.657, dw = -0.04664, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 106, w1 = 3627.518, w2 = 3551.049, dw = -0.04634, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 107, w1 = 3604.714, w2 = 3528.726, dw = -0.04605, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 108, w1 = 3582.195, w2 = 3506.682, dw = -0.04577, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 109, w1 = 3559.956, w2 = 3484.911, dw = -0.04548, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 110, w1 = 3537.992, w2 = 3463.41, dw = -0.0452, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 111, w1 = 3516.297, w2 = 3442.172, dw = -0.04492, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 112, w1 = 3494.866, w2 = 3421.194, dw = -0.04465, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 113, w1 = 3473.696, w2 = 3400.469, dw = -0.04438, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 114, w1 = 3452.78, w2 = 3379.995, dw = -0.04411, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 115, w1 = 3432.115, w2 = 3359.765, dw = -0.04385, nw = 1651 EchelleThAr.0026.ec.fits: REFSPEC1 = 'EchelleThAr.0026.ec 1.' zEchelleThAr.0026.ec.fits: ap = 1, w1 = 10812.07, w2 = 10583.88, dw = -0.1383, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 2, w1 = 10611.86, w2 = 10387.9, dw = -0.13573, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 3, w1 = 10418.93, w2 = 10199.05, dw = -0.13327, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 4, w1 = 10232.9, w2 = 10016.94, dw = -0.13088, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 5, w1 = 10053.39, w2 = 9841.217, dw = -0.12859, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 6, w1 = 9880.064, w2 = 9671.557, dw = -0.12637, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 7, w1 = 9712.619, w2 = 9507.648, dw = -0.12422, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 8, w1 = 9550.754, w2 = 9349.202, dw = -0.12215, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 9, w1 = 9394.196, w2 = 9195.951, dw = -0.12015, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 10, w1 = 9242.689, w2 = 9047.644, dw = -0.11821, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 11, w1 = 9095.991, w2 = 8904.044, dw = -0.11633, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 12, w1 = 8953.877, w2 = 8764.932, dw = -0.11451, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 13, w1 = 8816.136, w2 = 8630.101, dw = -0.11275, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 14, w1 = 8682.569, w2 = 8499.355, dw = -0.11104, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 15, w1 = 8552.989, w2 = 8372.512, dw = -0.10938, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 16, w1 = 8427.22, w2 = 8249.4, dw = -0.10777, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 17, w1 = 8305.097, w2 = 8129.856, dw = -0.10621, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 18, w1 = 8186.462, w2 = 8013.728, dw = -0.10469, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 19, w1 = 8071.17, w2 = 7900.87, dw = -0.10321, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 20, w1 = 7959.08, w2 = 7791.148, dw = -0.10178, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 21, w1 = 7850.061, w2 = 7684.432, dw = -0.10038, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 22, w1 = 7743.988, w2 = 7580.6, dw = -0.09902, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 23, w1 = 7640.744, w2 = 7479.537, dw = -0.0977, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 24, w1 = 7540.217, w2 = 7381.133, dw = -0.09641, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 25, w1 = 7442.301, w2 = 7285.286, dw = -0.09516, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 26, w1 = 7346.896, w2 = 7191.896, dw = -0.09394, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 27, w1 = 7253.906, w2 = 7100.87, dw = -0.09275, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 28, w1 = 7163.24, w2 = 7012.121, dw = -0.09159, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 29, w1 = 7074.814, w2 = 6925.562, dw = -0.09046, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 30, w1 = 6988.544, w2 = 6841.115, dw = -0.08935, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 31, w1 = 6904.353, w2 = 6758.702, dw = -0.08827, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 32, w1 = 6822.167, w2 = 6678.252, dw = -0.08722, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 33, w1 = 6741.915, w2 = 6599.695, dw = -0.08619, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 34, w1 = 6663.529, w2 = 6522.965, dw = -0.08519, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 35, w1 = 6586.945, w2 = 6447.999, dw = -0.08421, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 36, w1 = 6512.101, w2 = 6374.736, dw = -0.08325, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 37, w1 = 6438.94, w2 = 6303.12, dw = -0.08231, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 38, w1 = 6367.404, w2 = 6233.096, dw = -0.0814, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 39, w1 = 6297.441, w2 = 6164.611, dw = -0.0805, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 40, w1 = 6228.999, w2 = 6097.614, dw = -0.07963, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 41, w1 = 6162.028, w2 = 6032.058, dw = -0.07877, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 42, w1 = 6096.483, w2 = 5967.898, dw = -0.07793, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 43, w1 = 6032.318, w2 = 5905.088, dw = -0.07711, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 44, w1 = 5969.489, w2 = 5843.586, dw = -0.0763, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 45, w1 = 5907.956, w2 = 5783.353, dw = -0.07552, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 46, w1 = 5847.679, w2 = 5724.349, dw = -0.07475, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 47, w1 = 5788.62, w2 = 5666.537, dw = -0.07399, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 48, w1 = 5730.742, w2 = 5609.882, dw = -0.07325, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 49, w1 = 5674.01, w2 = 5554.348, dw = -0.07252, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 50, w1 = 5618.391, w2 = 5499.904, dw = -0.07181, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 51, w1 = 5563.851, w2 = 5446.517, dw = -0.07111, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 52, w1 = 5510.361, w2 = 5394.156, dw = -0.07043, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 53, w1 = 5457.889, w2 = 5342.793, dw = -0.06976, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 54, w1 = 5406.408, w2 = 5292.399, dw = -0.0691, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 55, w1 = 5355.889, w2 = 5242.947, dw = -0.06845, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 56, w1 = 5306.306, w2 = 5194.411, dw = -0.06781, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 57, w1 = 5257.632, w2 = 5146.766, dw = -0.06719, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 58, w1 = 5209.844, w2 = 5099.987, dw = -0.06658, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 59, w1 = 5162.917, w2 = 5054.051, dw = -0.06598, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 60, w1 = 5116.827, w2 = 5008.935, dw = -0.06539, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 61, w1 = 5071.554, w2 = 4964.618, dw = -0.06481, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 62, w1 = 5027.075, w2 = 4921.079, dw = -0.06424, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 63, w1 = 4983.37, w2 = 4878.296, dw = -0.06368, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 64, w1 = 4940.418, w2 = 4836.252, dw = -0.06313, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 65, w1 = 4898.2, w2 = 4794.926, dw = -0.06259, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 66, w1 = 4856.698, w2 = 4754.301, dw = -0.06206, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 67, w1 = 4815.894, w2 = 4714.359, dw = -0.06154, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 68, w1 = 4775.77, w2 = 4675.082, dw = -0.06102, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 69, w1 = 4736.309, w2 = 4636.455, dw = -0.06052, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 70, w1 = 4697.495, w2 = 4598.461, dw = -0.06002, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 71, w1 = 4659.312, w2 = 4561.085, dw = -0.05953, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 72, w1 = 4621.746, w2 = 4524.312, dw = -0.05905, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 73, w1 = 4584.78, w2 = 4488.127, dw = -0.05858, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 74, w1 = 4548.401, w2 = 4452.517, dw = -0.05811, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 75, w1 = 4512.595, w2 = 4417.468, dw = -0.05765, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 76, w1 = 4477.349, w2 = 4382.966, dw = -0.0572, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 77, w1 = 4442.649, w2 = 4348.999, dw = -0.05676, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 78, w1 = 4408.483, w2 = 4315.555, dw = -0.05632, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 79, w1 = 4374.838, w2 = 4282.622, dw = -0.05589, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 80, w1 = 4341.704, w2 = 4250.188, dw = -0.05546, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 81, w1 = 4309.068, w2 = 4218.241, dw = -0.05505, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 82, w1 = 4276.919, w2 = 4186.772, dw = -0.05463, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 83, w1 = 4245.246, w2 = 4155.769, dw = -0.05423, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 84, w1 = 4214.039, w2 = 4125.221, dw = -0.05383, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 85, w1 = 4183.288, w2 = 4095.12, dw = -0.05343, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 86, w1 = 4152.982, w2 = 4065.455, dw = -0.05305, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 87, w1 = 4123.112, w2 = 4036.217, dw = -0.05266, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 88, w1 = 4093.669, w2 = 4007.397, dw = -0.05229, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 89, w1 = 4064.644, w2 = 3978.986, dw = -0.05191, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 90, w1 = 4036.028, w2 = 3950.974, dw = -0.05155, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 91, w1 = 4007.812, w2 = 3923.355, dw = -0.05119, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 92, w1 = 3979.987, w2 = 3896.119, dw = -0.05083, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 93, w1 = 3952.547, w2 = 3869.259, dw = -0.05048, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 94, w1 = 3925.482, w2 = 3842.768, dw = -0.05013, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 95, w1 = 3898.786, w2 = 3816.636, dw = -0.04979, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 96, w1 = 3872.45, w2 = 3790.858, dw = -0.04945, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 97, w1 = 3846.468, w2 = 3765.426, dw = -0.04912, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 98, w1 = 3820.832, w2 = 3740.333, dw = -0.04879, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 99, w1 = 3795.536, w2 = 3715.572, dw = -0.04846, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 100, w1 = 3770.573, w2 = 3691.137, dw = -0.04814, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 101, w1 = 3745.936, w2 = 3667.022, dw = -0.04783, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 102, w1 = 3721.619, w2 = 3643.22, dw = -0.04751, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 103, w1 = 3697.615, w2 = 3619.725, dw = -0.04721, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 104, w1 = 3673.919, w2 = 3596.532, dw = -0.0469, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 105, w1 = 3650.525, w2 = 3573.633, dw = -0.0466, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 106, w1 = 3627.428, w2 = 3551.025, dw = -0.0463, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 107, w1 = 3604.62, w2 = 3528.701, dw = -0.04601, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 108, w1 = 3582.098, w2 = 3506.657, dw = -0.04572, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 109, w1 = 3559.855, w2 = 3484.886, dw = -0.04544, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 110, w1 = 3537.887, w2 = 3463.384, dw = -0.04515, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 111, w1 = 3516.188, w2 = 3442.146, dw = -0.04487, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 112, w1 = 3494.754, w2 = 3421.167, dw = -0.0446, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 113, w1 = 3473.58, w2 = 3400.442, dw = -0.04433, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 114, w1 = 3452.661, w2 = 3379.967, dw = -0.04406, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 115, w1 = 3431.992, w2 = 3359.737, dw = -0.04379, nw = 1651 EchelleThAr.0031.ec.fits: REFSPEC1 = 'EchelleThAr.0031.ec 1.' zEchelleThAr.0031.ec.fits: ap = 1, w1 = 10812., w2 = 10583.84, dw = -0.13828, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 2, w1 = 10611.8, w2 = 10387.87, dw = -0.13572, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 3, w1 = 10418.87, w2 = 10199.01, dw = -0.13325, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 4, w1 = 10232.84, w2 = 10016.91, dw = -0.13087, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 5, w1 = 10053.34, w2 = 9841.191, dw = -0.12857, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 6, w1 = 9880.021, w2 = 9671.532, dw = -0.12636, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 7, w1 = 9712.579, w2 = 9507.624, dw = -0.12422, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 8, w1 = 9550.719, w2 = 9349.18, dw = -0.12214, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 9, w1 = 9394.165, w2 = 9195.931, dw = -0.12014, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 10, w1 = 9242.661, w2 = 9047.624, dw = -0.1182, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 11, w1 = 9095.966, w2 = 8904.026, dw = -0.11633, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 12, w1 = 8953.855, w2 = 8764.915, dw = -0.11451, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 13, w1 = 8816.116, w2 = 8630.084, dw = -0.11275, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 14, w1 = 8682.551, w2 = 8499.339, dw = -0.11104, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 15, w1 = 8552.973, w2 = 8372.497, dw = -0.10938, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 16, w1 = 8427.205, w2 = 8249.385, dw = -0.10777, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 17, w1 = 8305.083, w2 = 8129.841, dw = -0.10621, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 18, w1 = 8186.45, w2 = 8013.713, dw = -0.10469, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 19, w1 = 8071.159, w2 = 7900.857, dw = -0.10321, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 20, w1 = 7959.07, w2 = 7791.135, dw = -0.10178, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 21, w1 = 7850.051, w2 = 7684.419, dw = -0.10038, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 22, w1 = 7743.979, w2 = 7580.587, dw = -0.09903, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 23, w1 = 7640.736, w2 = 7479.524, dw = -0.0977, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 24, w1 = 7540.21, w2 = 7381.121, dw = -0.09642, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 25, w1 = 7442.294, w2 = 7285.273, dw = -0.09516, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 26, w1 = 7346.889, w2 = 7191.883, dw = -0.09394, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 27, w1 = 7253.9, w2 = 7100.858, dw = -0.09275, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 28, w1 = 7163.235, w2 = 7012.108, dw = -0.09159, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 29, w1 = 7074.808, w2 = 6925.55, dw = -0.09046, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 30, w1 = 6988.539, w2 = 6841.103, dw = -0.08936, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 31, w1 = 6904.348, w2 = 6758.69, dw = -0.08828, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 32, w1 = 6822.162, w2 = 6678.24, dw = -0.08723, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 33, w1 = 6741.91, w2 = 6599.683, dw = -0.0862, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 34, w1 = 6663.524, w2 = 6522.953, dw = -0.08519, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 35, w1 = 6586.94, w2 = 6447.987, dw = -0.08421, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 36, w1 = 6512.097, w2 = 6374.725, dw = -0.08326, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 37, w1 = 6438.936, w2 = 6303.109, dw = -0.08232, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 38, w1 = 6367.4, w2 = 6233.085, dw = -0.0814, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 39, w1 = 6297.437, w2 = 6164.599, dw = -0.08051, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 40, w1 = 6228.995, w2 = 6097.603, dw = -0.07963, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 41, w1 = 6162.024, w2 = 6032.048, dw = -0.07877, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 42, w1 = 6096.479, w2 = 5967.887, dw = -0.07793, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 43, w1 = 6032.314, w2 = 5905.077, dw = -0.07711, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 44, w1 = 5969.485, w2 = 5843.576, dw = -0.07631, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 45, w1 = 5907.953, w2 = 5783.343, dw = -0.07552, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 46, w1 = 5847.676, w2 = 5724.339, dw = -0.07475, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 47, w1 = 5788.616, w2 = 5666.528, dw = -0.07399, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 48, w1 = 5730.738, w2 = 5609.873, dw = -0.07325, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 49, w1 = 5674.007, w2 = 5554.339, dw = -0.07253, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 50, w1 = 5618.387, w2 = 5499.895, dw = -0.07181, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 51, w1 = 5563.848, w2 = 5446.508, dw = -0.07112, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 52, w1 = 5510.358, w2 = 5394.148, dw = -0.07043, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 53, w1 = 5457.886, w2 = 5342.785, dw = -0.06976, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 54, w1 = 5406.405, w2 = 5292.391, dw = -0.0691, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 55, w1 = 5355.886, w2 = 5242.939, dw = -0.06845, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 56, w1 = 5306.303, w2 = 5194.404, dw = -0.06782, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 57, w1 = 5257.63, w2 = 5146.758, dw = -0.06719, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 58, w1 = 5209.841, w2 = 5099.98, dw = -0.06658, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 59, w1 = 5162.914, w2 = 5054.044, dw = -0.06598, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 60, w1 = 5116.825, w2 = 5008.928, dw = -0.06539, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 61, w1 = 5071.551, w2 = 4964.611, dw = -0.06481, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 62, w1 = 5027.072, w2 = 4921.072, dw = -0.06424, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 63, w1 = 4983.367, w2 = 4878.29, dw = -0.06368, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 64, w1 = 4940.415, w2 = 4836.245, dw = -0.06313, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 65, w1 = 4898.197, w2 = 4794.92, dw = -0.06259, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 66, w1 = 4856.695, w2 = 4754.295, dw = -0.06206, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 67, w1 = 4815.891, w2 = 4714.352, dw = -0.06154, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 68, w1 = 4775.766, w2 = 4675.076, dw = -0.06102, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 69, w1 = 4736.305, w2 = 4636.448, dw = -0.06052, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 70, w1 = 4697.491, w2 = 4598.454, dw = -0.06002, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 71, w1 = 4659.308, w2 = 4561.078, dw = -0.05953, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 72, w1 = 4621.741, w2 = 4524.305, dw = -0.05905, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 73, w1 = 4584.774, w2 = 4488.12, dw = -0.05858, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 74, w1 = 4548.395, w2 = 4452.509, dw = -0.05811, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 75, w1 = 4512.588, w2 = 4417.459, dw = -0.05765, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 76, w1 = 4477.341, w2 = 4382.957, dw = -0.0572, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 77, w1 = 4442.641, w2 = 4348.99, dw = -0.05676, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 78, w1 = 4408.474, w2 = 4315.546, dw = -0.05632, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 79, w1 = 4374.828, w2 = 4282.612, dw = -0.05589, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 80, w1 = 4341.693, w2 = 4250.177, dw = -0.05546, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 81, w1 = 4309.055, w2 = 4218.229, dw = -0.05505, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 82, w1 = 4276.905, w2 = 4186.759, dw = -0.05463, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 83, w1 = 4245.231, w2 = 4155.755, dw = -0.05423, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 84, w1 = 4214.023, w2 = 4125.207, dw = -0.05383, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 85, w1 = 4183.27, w2 = 4095.104, dw = -0.05343, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 86, w1 = 4152.962, w2 = 4065.438, dw = -0.05305, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 87, w1 = 4123.091, w2 = 4036.199, dw = -0.05266, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 88, w1 = 4093.646, w2 = 4007.377, dw = -0.05228, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 89, w1 = 4064.619, w2 = 3978.964, dw = -0.05191, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 90, w1 = 4036., w2 = 3950.951, dw = -0.05154, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 91, w1 = 4007.782, w2 = 3923.33, dw = -0.05118, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 92, w1 = 3979.955, w2 = 3896.093, dw = -0.05083, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 93, w1 = 3952.512, w2 = 3869.231, dw = -0.05047, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 94, w1 = 3925.445, w2 = 3842.737, dw = -0.05013, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 95, w1 = 3898.745, w2 = 3816.603, dw = -0.04978, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 96, w1 = 3872.406, w2 = 3790.823, dw = -0.04944, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 97, w1 = 3846.421, w2 = 3765.388, dw = -0.04911, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 98, w1 = 3820.782, w2 = 3740.293, dw = -0.04878, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 99, w1 = 3795.482, w2 = 3715.529, dw = -0.04846, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 100, w1 = 3770.515, w2 = 3691.092, dw = -0.04814, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 101, w1 = 3745.874, w2 = 3666.973, dw = -0.04782, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 102, w1 = 3721.552, w2 = 3643.168, dw = -0.04751, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 103, w1 = 3697.544, w2 = 3619.67, dw = -0.0472, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 104, w1 = 3673.844, w2 = 3596.473, dw = -0.04689, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 105, w1 = 3650.445, w2 = 3573.571, dw = -0.04659, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 106, w1 = 3627.342, w2 = 3550.959, dw = -0.04629, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 107, w1 = 3604.53, w2 = 3528.631, dw = -0.046, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 108, w1 = 3582.002, w2 = 3506.583, dw = -0.04571, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 109, w1 = 3559.754, w2 = 3484.808, dw = -0.04542, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 110, w1 = 3537.78, w2 = 3463.301, dw = -0.04514, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 111, w1 = 3516.075, w2 = 3442.058, dw = -0.04486, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 112, w1 = 3494.634, w2 = 3421.074, dw = -0.04458, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 113, w1 = 3473.453, w2 = 3400.345, dw = -0.04431, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 114, w1 = 3452.527, w2 = 3379.864, dw = -0.04404, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 115, w1 = 3431.851, w2 = 3359.629, dw = -0.04377, nw = 1651 EchelleThAr.0035.ec.fits: REFSPEC1 = 'EchelleThAr.0035.ec 1.' zEchelleThAr.0035.ec.fits: ap = 1, w1 = 10812.01, w2 = 10583.82, dw = -0.1383, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 2, w1 = 10611.8, w2 = 10387.84, dw = -0.13573, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 3, w1 = 10418.87, w2 = 10198.99, dw = -0.13326, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 4, w1 = 10232.84, w2 = 10016.88, dw = -0.13088, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 5, w1 = 10053.33, w2 = 9841.165, dw = -0.12858, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 6, w1 = 9880.012, w2 = 9671.507, dw = -0.12637, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 7, w1 = 9712.568, w2 = 9507.6, dw = -0.12422, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 8, w1 = 9550.705, w2 = 9349.157, dw = -0.12215, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 9, w1 = 9394.15, w2 = 9195.907, dw = -0.12015, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 10, w1 = 9242.644, w2 = 9047.602, dw = -0.11821, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 11, w1 = 9095.948, w2 = 8904.004, dw = -0.11633, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 12, w1 = 8953.836, w2 = 8764.893, dw = -0.11451, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 13, w1 = 8816.096, w2 = 8630.063, dw = -0.11275, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 14, w1 = 8682.53, w2 = 8499.318, dw = -0.11104, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 15, w1 = 8552.951, w2 = 8372.476, dw = -0.10938, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 16, w1 = 8427.184, w2 = 8249.365, dw = -0.10777, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 17, w1 = 8305.061, w2 = 8129.822, dw = -0.10621, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 18, w1 = 8186.428, w2 = 8013.694, dw = -0.10469, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 19, w1 = 8071.137, w2 = 7900.837, dw = -0.10321, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 20, w1 = 7959.048, w2 = 7791.115, dw = -0.10178, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 21, w1 = 7850.029, w2 = 7684.4, dw = -0.10038, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 22, w1 = 7743.958, w2 = 7580.568, dw = -0.09902, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 23, w1 = 7640.714, w2 = 7479.505, dw = -0.0977, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 24, w1 = 7540.188, w2 = 7381.102, dw = -0.09642, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 25, w1 = 7442.273, w2 = 7285.255, dw = -0.09516, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 26, w1 = 7346.868, w2 = 7191.865, dw = -0.09394, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 27, w1 = 7253.879, w2 = 7100.84, dw = -0.09275, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 28, w1 = 7163.214, w2 = 7012.09, dw = -0.09159, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 29, w1 = 7074.789, w2 = 6925.532, dw = -0.09046, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 30, w1 = 6988.519, w2 = 6841.085, dw = -0.08935, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 31, w1 = 6904.329, w2 = 6758.672, dw = -0.08828, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 32, w1 = 6822.143, w2 = 6678.222, dw = -0.08722, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 33, w1 = 6741.891, w2 = 6599.665, dw = -0.0862, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 34, w1 = 6663.506, w2 = 6522.935, dw = -0.08519, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 35, w1 = 6586.922, w2 = 6447.969, dw = -0.08421, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 36, w1 = 6512.079, w2 = 6374.707, dw = -0.08326, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 37, w1 = 6438.918, w2 = 6303.091, dw = -0.08232, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 38, w1 = 6367.383, w2 = 6233.066, dw = -0.0814, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 39, w1 = 6297.42, w2 = 6164.581, dw = -0.08051, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 40, w1 = 6228.978, w2 = 6097.584, dw = -0.07963, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 41, w1 = 6162.008, w2 = 6032.029, dw = -0.07878, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 42, w1 = 6096.463, w2 = 5967.868, dw = -0.07794, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 43, w1 = 6032.297, w2 = 5905.058, dw = -0.07711, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 44, w1 = 5969.469, w2 = 5843.557, dw = -0.07631, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 45, w1 = 5907.936, w2 = 5783.324, dw = -0.07552, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 46, w1 = 5847.659, w2 = 5724.32, dw = -0.07475, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 47, w1 = 5788.6, w2 = 5666.508, dw = -0.07399, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 48, w1 = 5730.722, w2 = 5609.853, dw = -0.07325, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 49, w1 = 5673.99, w2 = 5554.32, dw = -0.07253, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 50, w1 = 5618.371, w2 = 5499.875, dw = -0.07182, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 51, w1 = 5563.832, w2 = 5446.488, dw = -0.07112, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 52, w1 = 5510.341, w2 = 5394.128, dw = -0.07043, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 53, w1 = 5457.87, w2 = 5342.765, dw = -0.06976, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 54, w1 = 5406.388, w2 = 5292.371, dw = -0.0691, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 55, w1 = 5355.869, w2 = 5242.92, dw = -0.06845, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 56, w1 = 5306.286, w2 = 5194.384, dw = -0.06782, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 57, w1 = 5257.612, w2 = 5146.739, dw = -0.0672, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 58, w1 = 5209.824, w2 = 5099.96, dw = -0.06658, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 59, w1 = 5162.897, w2 = 5054.024, dw = -0.06598, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 60, w1 = 5116.807, w2 = 5008.909, dw = -0.06539, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 61, w1 = 5071.534, w2 = 4964.592, dw = -0.06481, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 62, w1 = 5027.054, w2 = 4921.053, dw = -0.06424, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 63, w1 = 4983.349, w2 = 4878.271, dw = -0.06368, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 64, w1 = 4940.397, w2 = 4836.227, dw = -0.06313, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 65, w1 = 4898.179, w2 = 4794.901, dw = -0.06259, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 66, w1 = 4856.677, w2 = 4754.276, dw = -0.06206, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 67, w1 = 4815.872, w2 = 4714.334, dw = -0.06154, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 68, w1 = 4775.748, w2 = 4675.058, dw = -0.06102, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 69, w1 = 4736.287, w2 = 4636.431, dw = -0.06052, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 70, w1 = 4697.473, w2 = 4598.437, dw = -0.06002, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 71, w1 = 4659.29, w2 = 4561.062, dw = -0.05953, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 72, w1 = 4621.722, w2 = 4524.289, dw = -0.05905, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 73, w1 = 4584.756, w2 = 4488.104, dw = -0.05858, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 74, w1 = 4548.377, w2 = 4452.494, dw = -0.05811, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 75, w1 = 4512.571, w2 = 4417.445, dw = -0.05765, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 76, w1 = 4477.324, w2 = 4382.944, dw = -0.0572, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 77, w1 = 4442.624, w2 = 4348.977, dw = -0.05676, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 78, w1 = 4408.457, w2 = 4315.534, dw = -0.05632, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 79, w1 = 4374.812, w2 = 4282.601, dw = -0.05589, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 80, w1 = 4341.677, w2 = 4250.167, dw = -0.05546, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 81, w1 = 4309.04, w2 = 4218.22, dw = -0.05504, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 82, w1 = 4276.891, w2 = 4186.751, dw = -0.05463, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 83, w1 = 4245.217, w2 = 4155.748, dw = -0.05422, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 84, w1 = 4214.01, w2 = 4125.201, dw = -0.05382, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 85, w1 = 4183.258, w2 = 4095.099, dw = -0.05343, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 86, w1 = 4152.952, w2 = 4065.435, dw = -0.05304, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 87, w1 = 4123.081, w2 = 4036.197, dw = -0.05266, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 88, w1 = 4093.638, w2 = 4007.376, dw = -0.05228, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 89, w1 = 4064.612, w2 = 3978.965, dw = -0.05191, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 90, w1 = 4035.995, w2 = 3950.954, dw = -0.05154, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 91, w1 = 4007.778, w2 = 3923.334, dw = -0.05118, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 92, w1 = 3979.953, w2 = 3896.099, dw = -0.05082, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 93, w1 = 3952.511, w2 = 3869.239, dw = -0.05047, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 94, w1 = 3925.446, w2 = 3842.746, dw = -0.05012, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 95, w1 = 3898.749, w2 = 3816.615, dw = -0.04978, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 96, w1 = 3872.412, w2 = 3790.836, dw = -0.04944, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 97, w1 = 3846.429, w2 = 3765.404, dw = -0.04911, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 98, w1 = 3820.792, w2 = 3740.31, dw = -0.04878, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 99, w1 = 3795.495, w2 = 3715.549, dw = -0.04845, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 100, w1 = 3770.531, w2 = 3691.114, dw = -0.04813, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 101, w1 = 3745.893, w2 = 3666.998, dw = -0.04781, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 102, w1 = 3721.574, w2 = 3643.196, dw = -0.0475, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 103, w1 = 3697.57, w2 = 3619.7, dw = -0.04719, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 104, w1 = 3673.873, w2 = 3596.506, dw = -0.04689, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 105, w1 = 3650.478, w2 = 3573.607, dw = -0.04659, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 106, w1 = 3627.379, w2 = 3550.998, dw = -0.04629, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 107, w1 = 3604.57, w2 = 3528.674, dw = -0.046, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 108, w1 = 3582.047, w2 = 3506.628, dw = -0.04571, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 109, w1 = 3559.803, w2 = 3484.856, dw = -0.04542, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 110, w1 = 3537.833, w2 = 3463.353, dw = -0.04514, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 111, w1 = 3516.133, w2 = 3442.114, dw = -0.04486, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 112, w1 = 3494.698, w2 = 3421.133, dw = -0.04458, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 113, w1 = 3473.522, w2 = 3400.407, dw = -0.04431, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 114, w1 = 3452.601, w2 = 3379.931, dw = -0.04404, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 115, w1 = 3431.931, w2 = 3359.7, dw = -0.04378, nw = 1651 Continuum fitting the spectra... Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Combining spectra... Jun 15 5:10: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140615.0021.ec.fits[ 1] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 2] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 3] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 4] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 5] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 6] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 7] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 8] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 9] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 10] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 11] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 12] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 13] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 14] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 15] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 16] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 17] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 18] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 19] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 20] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 21] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 22] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 23] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 24] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 25] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 26] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 27] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 28] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 29] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 30] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 31] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 32] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 33] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 34] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 35] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 36] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 37] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 38] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 39] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 40] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 41] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 42] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 43] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 44] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 45] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 46] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 47] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 48] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 49] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 50] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 51] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 52] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 53] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 54] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 55] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 56] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 57] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 58] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 59] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 60] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 61] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 62] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 63] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 64] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 65] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 66] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 67] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 68] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 69] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 70] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 71] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 72] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 73] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 74] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 75] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 76] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 77] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 78] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 79] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 80] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 81] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 82] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 83] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 84] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 85] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 86] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 87] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 88] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 89] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 90] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 91] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 92] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 93] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 94] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 95] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 96] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 97] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 98] 900.0 1.000 0. 0.009 140615.0021.ec.fits[ 99] 900.0 1.000 0. 0.009 140615.0021.ec.fits[100] 900.0 1.000 0. 0.009 140615.0021.ec.fits[101] 900.0 1.000 0. 0.009 140615.0021.ec.fits[102] 900.0 1.000 0. 0.009 140615.0021.ec.fits[103] 900.0 1.000 0. 0.009 140615.0021.ec.fits[104] 900.0 1.000 0. 0.009 140615.0021.ec.fits[105] 900.0 1.000 0. 0.009 140615.0021.ec.fits[106] 900.0 1.000 0. 0.009 140615.0021.ec.fits[107] 900.0 1.000 0. 0.009 140615.0021.ec.fits[108] 900.0 1.000 0. 0.009 140615.0021.ec.fits[109] 900.0 1.000 0. 0.009 140615.0021.ec.fits[110] 900.0 1.000 0. 0.009 140615.0021.ec.fits[111] 900.0 1.000 0. 0.009 140615.0021.ec.fits[112] 900.0 1.000 0. 0.009 140615.0021.ec.fits[113] 900.0 1.000 0. 0.009 140615.0021.ec.fits[114] 900.0 1.000 0. 0.009 140615.0021.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum140615.0021.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.752, w2 = 10812.06, dw = 0.04384358, nw = 169976., dtype = 0 Jun 15 5:10: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140615.0022.ec.fits[ 1] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 2] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 3] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 4] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 5] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 6] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 7] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 8] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 9] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 10] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 11] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 12] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 13] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 14] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 15] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 16] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 17] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 18] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 19] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 20] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 21] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 22] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 23] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 24] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 25] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 26] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 27] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 28] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 29] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 30] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 31] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 32] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 33] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 34] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 35] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 36] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 37] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 38] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 39] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 40] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 41] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 42] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 43] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 44] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 45] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 46] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 47] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 48] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 49] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 50] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 51] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 52] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 53] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 54] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 55] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 56] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 57] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 58] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 59] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 60] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 61] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 62] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 63] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 64] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 65] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 66] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 67] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 68] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 69] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 70] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 71] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 72] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 73] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 74] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 75] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 76] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 77] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 78] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 79] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 80] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 81] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 82] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 83] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 84] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 85] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 86] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 87] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 88] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 89] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 90] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 91] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 92] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 93] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 94] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 95] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 96] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 97] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 98] 720.0 1.000 0. 0.009 140615.0022.ec.fits[ 99] 720.0 1.000 0. 0.009 140615.0022.ec.fits[100] 720.0 1.000 0. 0.009 140615.0022.ec.fits[101] 720.0 1.000 0. 0.009 140615.0022.ec.fits[102] 720.0 1.000 0. 0.009 140615.0022.ec.fits[103] 720.0 1.000 0. 0.009 140615.0022.ec.fits[104] 720.0 1.000 0. 0.009 140615.0022.ec.fits[105] 720.0 1.000 0. 0.009 140615.0022.ec.fits[106] 720.0 1.000 0. 0.009 140615.0022.ec.fits[107] 720.0 1.000 0. 0.009 140615.0022.ec.fits[108] 720.0 1.000 0. 0.009 140615.0022.ec.fits[109] 720.0 1.000 0. 0.009 140615.0022.ec.fits[110] 720.0 1.000 0. 0.009 140615.0022.ec.fits[111] 720.0 1.000 0. 0.009 140615.0022.ec.fits[112] 720.0 1.000 0. 0.009 140615.0022.ec.fits[113] 720.0 1.000 0. 0.009 140615.0022.ec.fits[114] 720.0 1.000 0. 0.009 140615.0022.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum140615.0022.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.76, w2 = 10812.05, dw = 0.04384681, nw = 169963., dtype = 0 Jun 15 5:11: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140615.0024.ec.fits[ 1] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 2] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 3] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 4] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 5] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 6] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 7] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 8] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 9] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 10] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 11] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 12] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 13] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 14] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 15] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 16] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 17] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 18] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 19] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 20] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 21] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 22] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 23] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 24] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 25] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 26] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 27] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 28] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 29] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 30] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 31] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 32] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 33] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 34] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 35] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 36] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 37] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 38] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 39] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 40] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 41] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 42] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 43] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 44] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 45] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 46] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 47] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 48] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 49] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 50] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 51] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 52] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 53] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 54] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 55] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 56] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 57] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 58] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 59] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 60] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 61] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 62] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 63] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 64] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 65] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 66] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 67] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 68] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 69] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 70] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 71] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 72] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 73] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 74] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 75] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 76] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 77] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 78] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 79] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 80] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 81] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 82] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 83] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 84] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 85] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 86] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 87] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 88] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 89] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 90] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 91] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 92] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 93] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 94] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 95] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 96] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 97] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 98] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[ 99] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[100] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[101] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[102] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[103] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[104] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[105] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[106] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[107] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[108] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[109] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[110] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[111] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[112] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[113] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[114] 1500.0 1.000 0. 0.009 140615.0024.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum140615.0024.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.758, w2 = 10812.05, dw = 0.04383341, nw = 170015., dtype = 0 Jun 15 5:12: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140615.0025.ec.fits[ 1] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 2] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 3] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 4] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 5] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 6] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 7] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 8] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 9] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 10] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 11] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 12] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 13] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 14] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 15] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 16] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 17] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 18] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 19] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 20] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 21] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 22] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 23] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 24] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 25] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 26] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 27] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 28] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 29] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 30] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 31] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 32] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 33] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 34] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 35] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 36] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 37] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 38] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 39] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 40] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 41] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 42] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 43] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 44] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 45] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 46] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 47] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 48] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 49] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 50] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 51] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 52] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 53] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 54] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 55] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 56] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 57] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 58] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 59] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 60] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 61] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 62] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 63] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 64] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 65] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 66] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 67] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 68] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 69] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 70] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 71] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 72] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 73] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 74] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 75] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 76] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 77] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 78] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 79] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 80] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 81] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 82] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 83] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 84] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 85] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 86] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 87] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 88] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 89] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 90] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 91] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 92] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 93] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 94] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 95] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 96] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 97] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 98] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[ 99] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[100] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[101] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[102] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[103] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[104] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[105] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[106] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[107] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[108] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[109] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[110] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[111] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[112] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[113] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[114] 1500.0 1.000 0. 0.009 140615.0025.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum140615.0025.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.745, w2 = 10812.06, dw = 0.04380599, nw = 170122., dtype = 0 Jun 15 5:12: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140615.0027.ec.fits[ 1] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 2] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 3] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 4] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 5] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 6] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 7] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 8] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 9] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 10] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 11] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 12] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 13] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 14] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 15] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 16] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 17] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 18] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 19] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 20] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 21] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 22] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 23] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 24] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 25] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 26] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 27] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 28] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 29] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 30] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 31] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 32] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 33] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 34] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 35] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 36] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 37] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 38] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 39] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 40] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 41] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 42] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 43] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 44] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 45] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 46] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 47] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 48] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 49] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 50] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 51] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 52] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 53] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 54] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 55] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 56] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 57] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 58] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 59] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 60] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 61] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 62] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 63] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 64] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 65] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 66] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 67] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 68] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 69] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 70] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 71] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 72] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 73] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 74] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 75] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 76] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 77] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 78] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 79] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 80] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 81] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 82] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 83] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 84] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 85] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 86] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 87] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 88] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 89] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 90] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 91] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 92] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 93] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 94] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 95] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 96] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 97] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 98] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[ 99] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[100] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[101] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[102] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[103] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[104] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[105] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[106] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[107] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[108] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[109] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[110] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[111] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[112] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[113] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[114] 1500.0 1.000 0. 0.009 140615.0027.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum140615.0027.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.714, w2 = 10812.06, dw = 0.04378656, nw = 170198., dtype = 0 Jun 15 5:13: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140615.0028.ec.fits[ 1] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 2] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 3] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 4] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 5] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 6] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 7] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 8] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 9] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 10] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 11] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 12] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 13] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 14] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 15] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 16] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 17] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 18] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 19] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 20] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 21] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 22] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 23] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 24] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 25] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 26] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 27] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 28] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 29] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 30] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 31] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 32] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 33] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 34] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 35] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 36] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 37] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 38] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 39] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 40] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 41] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 42] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 43] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 44] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 45] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 46] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 47] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 48] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 49] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 50] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 51] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 52] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 53] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 54] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 55] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 56] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 57] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 58] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 59] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 60] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 61] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 62] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 63] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 64] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 65] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 66] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 67] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 68] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 69] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 70] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 71] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 72] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 73] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 74] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 75] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 76] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 77] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 78] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 79] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 80] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 81] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 82] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 83] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 84] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 85] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 86] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 87] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 88] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 89] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 90] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 91] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 92] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 93] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 94] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 95] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 96] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 97] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 98] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[ 99] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[100] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[101] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[102] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[103] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[104] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[105] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[106] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[107] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[108] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[109] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[110] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[111] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[112] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[113] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[114] 1200.0 1.000 0. 0.009 140615.0028.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum140615.0028.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.677, w2 = 10812.03, dw = 0.04377969, nw = 170225., dtype = 0 Jun 15 5:13: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140615.0030.ec.fits[ 1] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 2] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 3] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 4] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 5] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 6] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 7] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 8] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 9] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 10] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 11] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 12] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 13] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 14] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 15] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 16] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 17] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 18] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 19] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 20] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 21] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 22] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 23] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 24] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 25] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 26] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 27] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 28] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 29] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 30] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 31] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 32] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 33] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 34] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 35] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 36] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 37] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 38] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 39] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 40] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 41] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 42] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 43] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 44] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 45] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 46] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 47] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 48] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 49] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 50] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 51] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 52] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 53] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 54] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 55] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 56] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 57] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 58] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 59] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 60] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 61] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 62] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 63] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 64] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 65] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 66] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 67] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 68] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 69] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 70] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 71] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 72] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 73] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 74] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 75] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 76] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 77] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 78] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 79] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 80] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 81] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 82] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 83] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 84] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 85] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 86] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 87] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 88] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 89] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 90] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 91] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 92] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 93] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 94] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 95] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 96] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 97] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 98] 900.0 1.000 0. 0.009 140615.0030.ec.fits[ 99] 900.0 1.000 0. 0.009 140615.0030.ec.fits[100] 900.0 1.000 0. 0.009 140615.0030.ec.fits[101] 900.0 1.000 0. 0.009 140615.0030.ec.fits[102] 900.0 1.000 0. 0.009 140615.0030.ec.fits[103] 900.0 1.000 0. 0.009 140615.0030.ec.fits[104] 900.0 1.000 0. 0.009 140615.0030.ec.fits[105] 900.0 1.000 0. 0.009 140615.0030.ec.fits[106] 900.0 1.000 0. 0.009 140615.0030.ec.fits[107] 900.0 1.000 0. 0.009 140615.0030.ec.fits[108] 900.0 1.000 0. 0.009 140615.0030.ec.fits[109] 900.0 1.000 0. 0.009 140615.0030.ec.fits[110] 900.0 1.000 0. 0.009 140615.0030.ec.fits[111] 900.0 1.000 0. 0.009 140615.0030.ec.fits[112] 900.0 1.000 0. 0.009 140615.0030.ec.fits[113] 900.0 1.000 0. 0.009 140615.0030.ec.fits[114] 900.0 1.000 0. 0.009 140615.0030.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum140615.0030.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.645, w2 = 10812.01, dw = 0.04377357, nw = 170249., dtype = 0 Jun 15 5:14: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140615.0032.ec.fits[ 1] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 2] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 3] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 4] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 5] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 6] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 7] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 8] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 9] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 10] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 11] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 12] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 13] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 14] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 15] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 16] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 17] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 18] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 19] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 20] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 21] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 22] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 23] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 24] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 25] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 26] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 27] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 28] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 29] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 30] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 31] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 32] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 33] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 34] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 35] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 36] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 37] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 38] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 39] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 40] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 41] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 42] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 43] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 44] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 45] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 46] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 47] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 48] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 49] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 50] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 51] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 52] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 53] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 54] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 55] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 56] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 57] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 58] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 59] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 60] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 61] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 62] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 63] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 64] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 65] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 66] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 67] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 68] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 69] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 70] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 71] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 72] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 73] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 74] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 75] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 76] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 77] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 78] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 79] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 80] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 81] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 82] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 83] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 84] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 85] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 86] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 87] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 88] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 89] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 90] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 91] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 92] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 93] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 94] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 95] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 96] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 97] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 98] 600.0 1.000 0. 0.009 140615.0032.ec.fits[ 99] 600.0 1.000 0. 0.009 140615.0032.ec.fits[100] 600.0 1.000 0. 0.009 140615.0032.ec.fits[101] 600.0 1.000 0. 0.009 140615.0032.ec.fits[102] 600.0 1.000 0. 0.009 140615.0032.ec.fits[103] 600.0 1.000 0. 0.009 140615.0032.ec.fits[104] 600.0 1.000 0. 0.009 140615.0032.ec.fits[105] 600.0 1.000 0. 0.009 140615.0032.ec.fits[106] 600.0 1.000 0. 0.009 140615.0032.ec.fits[107] 600.0 1.000 0. 0.009 140615.0032.ec.fits[108] 600.0 1.000 0. 0.009 140615.0032.ec.fits[109] 600.0 1.000 0. 0.009 140615.0032.ec.fits[110] 600.0 1.000 0. 0.009 140615.0032.ec.fits[111] 600.0 1.000 0. 0.009 140615.0032.ec.fits[112] 600.0 1.000 0. 0.009 140615.0032.ec.fits[113] 600.0 1.000 0. 0.009 140615.0032.ec.fits[114] 600.0 1.000 0. 0.009 140615.0032.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sum140615.0032.ec.fits, ncombine = 115, exptime = 69000.01 w1 = 3359.64, w2 = 10812., dw = 0.04377149, nw = 170257., dtype = 0 Jun 15 5:15: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140615.0033.ec.fits[ 1] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 2] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 3] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 4] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 5] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 6] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 7] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 8] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 9] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 10] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 11] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 12] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 13] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 14] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 15] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 16] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 17] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 18] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 19] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 20] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 21] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 22] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 23] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 24] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 25] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 26] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 27] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 28] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 29] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 30] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 31] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 32] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 33] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 34] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 35] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 36] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 37] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 38] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 39] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 40] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 41] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 42] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 43] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 44] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 45] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 46] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 47] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 48] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 49] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 50] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 51] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 52] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 53] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 54] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 55] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 56] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 57] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 58] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 59] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 60] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 61] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 62] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 63] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 64] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 65] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 66] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 67] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 68] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 69] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 70] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 71] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 72] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 73] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 74] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 75] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 76] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 77] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 78] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 79] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 80] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 81] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 82] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 83] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 84] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 85] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 86] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 87] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 88] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 89] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 90] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 91] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 92] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 93] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 94] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 95] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 96] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 97] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 98] 900.0 1.000 0. 0.009 140615.0033.ec.fits[ 99] 900.0 1.000 0. 0.009 140615.0033.ec.fits[100] 900.0 1.000 0. 0.009 140615.0033.ec.fits[101] 900.0 1.000 0. 0.009 140615.0033.ec.fits[102] 900.0 1.000 0. 0.009 140615.0033.ec.fits[103] 900.0 1.000 0. 0.009 140615.0033.ec.fits[104] 900.0 1.000 0. 0.009 140615.0033.ec.fits[105] 900.0 1.000 0. 0.009 140615.0033.ec.fits[106] 900.0 1.000 0. 0.009 140615.0033.ec.fits[107] 900.0 1.000 0. 0.009 140615.0033.ec.fits[108] 900.0 1.000 0. 0.009 140615.0033.ec.fits[109] 900.0 1.000 0. 0.009 140615.0033.ec.fits[110] 900.0 1.000 0. 0.009 140615.0033.ec.fits[111] 900.0 1.000 0. 0.009 140615.0033.ec.fits[112] 900.0 1.000 0. 0.009 140615.0033.ec.fits[113] 900.0 1.000 0. 0.009 140615.0033.ec.fits[114] 900.0 1.000 0. 0.009 140615.0033.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum140615.0033.ec.fits, ncombine = 115, exptime = 103500.1 w1 = 3359.661, w2 = 10812., dw = 0.04377318, nw = 170250., dtype = 0 Jun 15 5:15: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140615.0034.ec.fits[ 1] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 2] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 3] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 4] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 5] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 6] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 7] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 8] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 9] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 10] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 11] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 12] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 13] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 14] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 15] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 16] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 17] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 18] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 19] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 20] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 21] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 22] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 23] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 24] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 25] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 26] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 27] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 28] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 29] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 30] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 31] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 32] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 33] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 34] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 35] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 36] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 37] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 38] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 39] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 40] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 41] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 42] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 43] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 44] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 45] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 46] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 47] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 48] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 49] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 50] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 51] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 52] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 53] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 54] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 55] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 56] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 57] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 58] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 59] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 60] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 61] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 62] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 63] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 64] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 65] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 66] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 67] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 68] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 69] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 70] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 71] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 72] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 73] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 74] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 75] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 76] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 77] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 78] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 79] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 80] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 81] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 82] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 83] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 84] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 85] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 86] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 87] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 88] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 89] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 90] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 91] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 92] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 93] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 94] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 95] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 96] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 97] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 98] 900.0 1.000 0. 0.009 140615.0034.ec.fits[ 99] 900.0 1.000 0. 0.009 140615.0034.ec.fits[100] 900.0 1.000 0. 0.009 140615.0034.ec.fits[101] 900.0 1.000 0. 0.009 140615.0034.ec.fits[102] 900.0 1.000 0. 0.009 140615.0034.ec.fits[103] 900.0 1.000 0. 0.009 140615.0034.ec.fits[104] 900.0 1.000 0. 0.009 140615.0034.ec.fits[105] 900.0 1.000 0. 0.009 140615.0034.ec.fits[106] 900.0 1.000 0. 0.009 140615.0034.ec.fits[107] 900.0 1.000 0. 0.009 140615.0034.ec.fits[108] 900.0 1.000 0. 0.009 140615.0034.ec.fits[109] 900.0 1.000 0. 0.009 140615.0034.ec.fits[110] 900.0 1.000 0. 0.009 140615.0034.ec.fits[111] 900.0 1.000 0. 0.009 140615.0034.ec.fits[112] 900.0 1.000 0. 0.009 140615.0034.ec.fits[113] 900.0 1.000 0. 0.009 140615.0034.ec.fits[114] 900.0 1.000 0. 0.009 140615.0034.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum140615.0034.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.685, w2 = 10812., dw = 0.04377511, nw = 170242., dtype = 0 Jun 15 5:16: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140615.0021.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[100] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[101] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[102] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[103] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[104] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[105] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[106] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[107] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[108] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[109] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[110] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[111] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[112] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[113] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[114] 900.0 1.000 0. 0.009 fitcont140615.0021.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont140615.0021.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.752, w2 = 10812.06, dw = 0.04384358, nw = 169976., dtype = 0 Jun 15 5:16: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140615.0022.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[100] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[101] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[102] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[103] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[104] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[105] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[106] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[107] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[108] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[109] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[110] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[111] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[112] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[113] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[114] 720.0 1.000 0. 0.009 fitcont140615.0022.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont140615.0022.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.76, w2 = 10812.05, dw = 0.04384681, nw = 169963., dtype = 0 Jun 15 5:17: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140615.0024.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont140615.0024.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont140615.0024.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.758, w2 = 10812.05, dw = 0.04383341, nw = 170015., dtype = 0 Jun 15 5:18: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140615.0025.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 55] 1500.0 1.000 0. 0.009 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74] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont140615.0025.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont140615.0025.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.745, w2 = 10812.06, dw = 0.04380599, nw = 170122., dtype = 0 Jun 15 5:18: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140615.0027.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont140615.0027.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont140615.0027.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.714, w2 = 10812.06, dw = 0.04378656, nw = 170198., dtype = 0 Jun 15 5:19: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140615.0028.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont140615.0028.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont140615.0028.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.677, w2 = 10812.03, dw = 0.04377969, nw = 170225., dtype = 0 Jun 15 5:19: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140615.0030.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[100] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[101] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[102] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[103] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[104] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[105] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[106] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[107] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[108] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[109] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[110] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[111] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[112] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[113] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[114] 900.0 1.000 0. 0.009 fitcont140615.0030.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont140615.0030.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.645, w2 = 10812.01, dw = 0.04377357, nw = 170249., dtype = 0 Jun 15 5:20: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140615.0032.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[100] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[101] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[102] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[103] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[104] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[105] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[106] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[107] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[108] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[109] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[110] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[111] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[112] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[113] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[114] 600.0 1.000 0. 0.009 fitcont140615.0032.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumfitcont140615.0032.ec.fits, ncombine = 115, exptime = 69000.01 w1 = 3359.64, w2 = 10812., dw = 0.04377149, nw = 170257., dtype = 0 Jun 15 5:20: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140615.0033.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[100] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[101] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[102] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[103] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[104] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[105] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[106] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[107] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[108] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[109] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[110] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[111] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[112] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[113] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[114] 900.0 1.000 0. 0.009 fitcont140615.0033.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont140615.0033.ec.fits, ncombine = 115, exptime = 103500.1 w1 = 3359.661, w2 = 10812., dw = 0.04377318, nw = 170250., dtype = 0 Jun 15 5:21: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140615.0034.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[100] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[101] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[102] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[103] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[104] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[105] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[106] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[107] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[108] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[109] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[110] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[111] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[112] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[113] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[114] 900.0 1.000 0. 0.009 fitcont140615.0034.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont140615.0034.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.685, w2 = 10812., dw = 0.04377511, nw = 170242., dtype = 0 103500. fullspec140615.0021.ec.fits,EXPTIME: 103500. -> 900.0 fullspec140615.0021.ec.fits updated 82799.99 fullspec140615.0022.ec.fits,EXPTIME: 82799.99 -> 719.999913043 fullspec140615.0022.ec.fits updated 172500. fullspec140615.0024.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec140615.0024.ec.fits updated 172500. fullspec140615.0025.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec140615.0025.ec.fits updated 172500. fullspec140615.0027.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec140615.0027.ec.fits updated 138000. fullspec140615.0028.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec140615.0028.ec.fits updated 103500. fullspec140615.0030.ec.fits,EXPTIME: 103500. -> 900.0 fullspec140615.0030.ec.fits updated 69000.01 fullspec140615.0032.ec.fits,EXPTIME: 69000.01 -> 600.000086957 fullspec140615.0032.ec.fits updated 103500.1 fullspec140615.0033.ec.fits,EXPTIME: 103500.1 -> 900.000869565 fullspec140615.0033.ec.fits updated 103500. fullspec140615.0034.ec.fits,EXPTIME: 103500. -> 900.0 fullspec140615.0034.ec.fits updated ALL DONE! Yay! (=^.^=)