Copying data files and other necessary files Changing to reduced data directory Generating file lists... Setting dispaxis... add 140605.0022.fits,dispaxis = 1 140605.0022.fits updated add 140605.0023.fits,dispaxis = 1 140605.0023.fits updated add 140605.0024.fits,dispaxis = 1 140605.0024.fits updated add 140605.0026.fits,dispaxis = 1 140605.0026.fits updated add 140605.0027.fits,dispaxis = 1 140605.0027.fits updated add 140605.0028.fits,dispaxis = 1 140605.0028.fits updated add 140605.0030.fits,dispaxis = 1 140605.0030.fits updated add 140605.0031.fits,dispaxis = 1 140605.0031.fits updated add 140605.0032.fits,dispaxis = 1 140605.0032.fits updated add 140605.0033.fits,dispaxis = 1 140605.0033.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.0021.fits,dispaxis = 1 EchelleThAr.0021.fits updated add EchelleThAr.0025.fits,dispaxis = 1 EchelleThAr.0025.fits updated add EchelleThAr.0029.fits,dispaxis = 1 EchelleThAr.0029.fits updated add EchelleThAr.0034.fits,dispaxis = 1 EchelleThAr.0034.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 140605.0022.fits with mask echmask.pl FIXPIX: image 140605.0023.fits with mask echmask.pl FIXPIX: image 140605.0024.fits with mask echmask.pl FIXPIX: image 140605.0026.fits with mask echmask.pl FIXPIX: image 140605.0027.fits with mask echmask.pl FIXPIX: image 140605.0028.fits with mask echmask.pl FIXPIX: image 140605.0030.fits with mask echmask.pl FIXPIX: image 140605.0031.fits with mask echmask.pl FIXPIX: image 140605.0032.fits with mask echmask.pl FIXPIX: image 140605.0033.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.0021.fits with mask echmask.pl FIXPIX: image EchelleThAr.0025.fits with mask echmask.pl FIXPIX: image EchelleThAr.0029.fits with mask echmask.pl FIXPIX: image EchelleThAr.0034.fits with mask echmask.pl Jun 9 11:20: 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 0.0 EchelleBias.0006.fits 0.0 EchelleBias.0007.fits 0.9 EchelleBias.0008.fits 0.0 EchelleBias.0009.fits 0.0 EchelleBias.0010.fits 0.0 Output image = bias_fid, ncombine = 10 Calibrating object images and flats (bias, and trimming)... 140605.0022.fits: Jun 9 11:20 Trim data section is [200:1850,1:2048] bias_fid: Jun 9 11:20 Trim data section is [200:1850,1:2048] 140605.0022.fits: Jun 9 11:20 Zero level correction image is bias_fid 140605.0023.fits: Jun 9 11:20 Trim data section is [200:1850,1:2048] 140605.0023.fits: Jun 9 11:20 Zero level correction image is bias_fid 140605.0024.fits: Jun 9 11:20 Trim data section is [200:1850,1:2048] 140605.0024.fits: Jun 9 11:20 Zero level correction image is bias_fid 140605.0026.fits: Jun 9 11:20 Trim data section is [200:1850,1:2048] 140605.0026.fits: Jun 9 11:20 Zero level correction image is bias_fid 140605.0027.fits: Jun 9 11:20 Trim data section is [200:1850,1:2048] 140605.0027.fits: Jun 9 11:20 Zero level correction image is bias_fid 140605.0028.fits: Jun 9 11:20 Trim data section is [200:1850,1:2048] 140605.0028.fits: Jun 9 11:20 Zero level correction image is bias_fid 140605.0030.fits: Jun 9 11:20 Trim data section is [200:1850,1:2048] 140605.0030.fits: Jun 9 11:20 Zero level correction image is bias_fid 140605.0031.fits: Jun 9 11:20 Trim data section is [200:1850,1:2048] 140605.0031.fits: Jun 9 11:20 Zero level correction image is bias_fid 140605.0032.fits: Jun 9 11:20 Trim data section is [200:1850,1:2048] 140605.0032.fits: Jun 9 11:20 Zero level correction image is bias_fid 140605.0033.fits: Jun 9 11:20 Trim data section is [200:1850,1:2048] 140605.0033.fits: Jun 9 11:20 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlat.0011.fits: Jun 9 11:20 Trim data section is [200:1850,1:2048] EchelleFlat.0011.fits: Jun 9 11:20 Zero level correction image is bias_fid EchelleFlat.0012.fits: Jun 9 11:20 Trim data section is [200:1850,1:2048] EchelleFlat.0012.fits: Jun 9 11:20 Zero level correction image is bias_fid EchelleFlat.0013.fits: Jun 9 11:20 Trim data section is [200:1850,1:2048] EchelleFlat.0013.fits: Jun 9 11:20 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlatBlue.0014.fits: Jun 9 11:20 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0014.fits: Jun 9 11:20 Zero level correction image is bias_fid EchelleFlatBlue.0015.fits: Jun 9 11:20 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0015.fits: Jun 9 11:20 Zero level correction image is bias_fid EchelleFlatBlue.0016.fits: Jun 9 11:20 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0016.fits: Jun 9 11:20 Zero level correction image is bias_fid Calibrating ThAr arcs... EchelleThAr.0017.fits: Jun 9 11:20 Trim data section is [200:1850,1:2048] EchelleThAr.0017.fits: Jun 9 11:20 Zero level correction image is bias_fid EchelleThAr.0018.fits: Jun 9 11:20 Trim data section is [200:1850,1:2048] EchelleThAr.0018.fits: Jun 9 11:20 Zero level correction image is bias_fid EchelleThAr.0019.fits: Jun 9 11:20 Trim data section is [200:1850,1:2048] EchelleThAr.0019.fits: Jun 9 11:20 Zero level correction image is bias_fid EchelleThAr.0020.fits: Jun 9 11:20 Trim data section is [200:1850,1:2048] EchelleThAr.0020.fits: Jun 9 11:20 Zero level correction image is bias_fid EchelleThAr.0021.fits: Jun 9 11:20 Trim data section is [200:1850,1:2048] EchelleThAr.0021.fits: Jun 9 11:20 Zero level correction image is bias_fid EchelleThAr.0025.fits: Jun 9 11:20 Trim data section is [200:1850,1:2048] EchelleThAr.0025.fits: Jun 9 11:20 Zero level correction image is bias_fid EchelleThAr.0029.fits: Jun 9 11:20 Trim data section is [200:1850,1:2048] EchelleThAr.0029.fits: Jun 9 11:20 Zero level correction image is bias_fid EchelleThAr.0034.fits: Jun 9 11:20 Trim data section is [200:1850,1:2048] EchelleThAr.0034.fits: Jun 9 11:20 Zero level correction image is bias_fid Combining red and blue flats into separate fiducial flats... Jun 9 11:21: 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 9 11:21: 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 9 11:21: TRACE - Trace of aperture 96 in flat_fid_mag lost at column 1631. Jun 9 11:21: TRACE - Trace of aperture 96 in flat_fid_mag recovered at column 1632. Jun 9 11:21: TRACE - Trace of aperture 98 in flat_fid_mag lost at column 113. Jun 9 11:21: TRACE - Trace of aperture 98 in flat_fid_mag recovered at column 112. Jun 9 11:21: TRACE - Trace of aperture 98 in flat_fid_mag lost at column 91. Jun 9 11:21: TRACE - Trace of aperture 98 in flat_fid_mag recovered at column 90. Jun 9 11:21: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1588. Jun 9 11:21: TRACE - Trace of aperture 99 in flat_fid_mag recovered at column 1589. Jun 9 11:21: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1597. Jun 9 11:21: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1598. Jun 9 11:21: TRACE - Trace of aperture 99 in flat_fid_mag recovered at column 1599. Jun 9 11:21: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 115. Jun 9 11:21: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 114. Jun 9 11:21: TRACE - Trace of aperture 99 in flat_fid_mag recovered at column 113. Jun 9 11:21: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1581. Jun 9 11:21: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1582. Jun 9 11:21: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1627. Jun 9 11:21: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1628. Jun 9 11:21: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1641. Jun 9 11:21: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1642. Jun 9 11:21: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1643. Jun 9 11:21: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 131. Jun 9 11:21: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 130. Jun 9 11:21: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 102. Jun 9 11:21: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 101. Jun 9 11:21: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 99. Jun 9 11:21: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 98. Jun 9 11:21: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 97. Jun 9 11:21: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1634. Jun 9 11:21: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 1635. Jun 9 11:21: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1573. Jun 9 11:21: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1574. Jun 9 11:21: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1598. Jun 9 11:21: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1599. Jun 9 11:21: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1600. Jun 9 11:21: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1638. Jun 9 11:21: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1639. Jun 9 11:21: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 155. Jun 9 11:21: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 154. Jun 9 11:21: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 153. Jun 9 11:21: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 152. Jun 9 11:21: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 151. Jun 9 11:21: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1528. Jun 9 11:21: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1529. Jun 9 11:21: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1585. Jun 9 11:21: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1586. Jun 9 11:21: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1587. Jun 9 11:21: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1589. Jun 9 11:21: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1590. Jun 9 11:21: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1597. Jun 9 11:21: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1598. Jun 9 11:21: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1631. Jun 9 11:21: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1632. Jun 9 11:21: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1638. Jun 9 11:21: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1639. Jun 9 11:21: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 131. Jun 9 11:21: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 130. Jun 9 11:21: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 119. Jun 9 11:21: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 118. Jun 9 11:21: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 117. Jun 9 11:21: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1558. Jun 9 11:21: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1559. Jun 9 11:21: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1583. Jun 9 11:21: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1584. Jun 9 11:21: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 208. Jun 9 11:21: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 207. Jun 9 11:21: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 163. Jun 9 11:21: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 162. Jun 9 11:21: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 137. Jun 9 11:21: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 136. Jun 9 11:21: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 135. Jun 9 11:21: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 125. Jun 9 11:21: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 124. Jun 9 11:21: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 112. Jun 9 11:21: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 111. Jun 9 11:21: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 61. Jun 9 11:21: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 60. Jun 9 11:21: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 59. Jun 9 11:21: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1530. Jun 9 11:21: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1531. Jun 9 11:21: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1532. Jun 9 11:21: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 146. Jun 9 11:21: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 145. Jun 9 11:21: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 144. Jun 9 11:21: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1558. Jun 9 11:21: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1559. Jun 9 11:21: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1572. Jun 9 11:21: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1573. Jun 9 11:21: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1593. Jun 9 11:21: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1594. Jun 9 11:21: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1596. Jun 9 11:21: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1597. Jun 9 11:21: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1617. Jun 9 11:21: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1618. Jun 9 11:21: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1639. Jun 9 11:21: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1640. Jun 9 11:21: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1641. Jun 9 11:21: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1642. Jun 9 11:21: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1648. Jun 9 11:21: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1649. Jun 9 11:21: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 189. Jun 9 11:21: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 188. Jun 9 11:21: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 179. Jun 9 11:21: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 178. Jun 9 11:21: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 160. Jun 9 11:21: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 159. Jun 9 11:21: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 158. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1503. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1504. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1505. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1570. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1571. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1572. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1594. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1595. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1596. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 244. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 243. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 195. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 194. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 193. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 160. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 159. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 156. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 155. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 154. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 153. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 120. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 119. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 105. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 104. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 101. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 100. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 90. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 89. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 88. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 46. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 45. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 29. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 28. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 4. Jun 9 11:21: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 3. Jun 9 11:21: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1456. Jun 9 11:21: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1457. Jun 9 11:21: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1464. Jun 9 11:21: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1465. Jun 9 11:21: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1466. Jun 9 11:21: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 228. Jun 9 11:21: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 227. Jun 9 11:21: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 208. Jun 9 11:21: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 207. Jun 9 11:21: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 206. Jun 9 11:21: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1442. Jun 9 11:21: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1443. Jun 9 11:21: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1444. Jun 9 11:21: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1474. Jun 9 11:21: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1475. Jun 9 11:21: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1476. Jun 9 11:21: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 297. Jun 9 11:21: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 296. Jun 9 11:21: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 191. Jun 9 11:21: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 190. Jun 9 11:21: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 189. Jun 9 11:21: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 185. Jun 9 11:21: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 184. Jun 9 11:21: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 183. Jun 9 11:21: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1356. Jun 9 11:21: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1357. Jun 9 11:21: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1414. Jun 9 11:21: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1415. Jun 9 11:21: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1416. Jun 9 11:21: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 237. Jun 9 11:21: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 236. Jun 9 11:21: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 232. Jun 9 11:21: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 231. Jun 9 11:21: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 230. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1328. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1329. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1347. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1348. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1397. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1398. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1413. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1414. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1415. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1417. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1418. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1419. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1420. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1441. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1442. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1443. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1444. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1445. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1453. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1454. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1467. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1468. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1470. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1471. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1503. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1504. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1513. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1514. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1522. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1523. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1524. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1527. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1528. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1548. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1549. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1554. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1555. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1556. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 292. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 291. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 269. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 268. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 265. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 264. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 263. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 262. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 260. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 259. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 258. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 249. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 248. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 222. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 221. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 213. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 212. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 211. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 210. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 209. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 208. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 201. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 200. Jun 9 11:21: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 199. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1226. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1227. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1248. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1249. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1301. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1302. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1329. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1330. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1331. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1366. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1367. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1378. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1379. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1411. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1412. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1413. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 302. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 301. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 298. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 297. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 296. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 283. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 282. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 281. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 250. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 249. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 243. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 242. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 241. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 240. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 239. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 227. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 226. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 204. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 203. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 202. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 200. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 199. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 198. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 197. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 185. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 184. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 183. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 163. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 162. Jun 9 11:21: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 161. Jun 9 11:21: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1191. Jun 9 11:21: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1192. Jun 9 11:21: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1203. Jun 9 11:21: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1204. Jun 9 11:21: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1205. Jun 9 11:21: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 381. Jun 9 11:21: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 380. Jun 9 11:21: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 379. Jun 9 11:21: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 956. Jun 9 11:21: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 957. Jun 9 11:21: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 958. Jun 9 11:21: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 657. Jun 9 11:21: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 656. Jun 9 11:21: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 487. Jun 9 11:21: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 486. Jun 9 11:21: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 409. Jun 9 11:21: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 408. Jun 9 11:21: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 405. Jun 9 11:21: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 404. Jun 9 11:21: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 370. Jun 9 11:21: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 369. Jun 9 11:21: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 358. Jun 9 11:21: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 357. Jun 9 11:21: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 356. Jun 9 11:21: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 872. Jun 9 11:21: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 873. Jun 9 11:21: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 978. Jun 9 11:21: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 979. Jun 9 11:21: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1037. Jun 9 11:21: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1038. Jun 9 11:21: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1043. Jun 9 11:21: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1044. Jun 9 11:21: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1077. Jun 9 11:21: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1078. Jun 9 11:21: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1079. Jun 9 11:21: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1083. Jun 9 11:21: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1084. Jun 9 11:21: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1085. Jun 9 11:21: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 755. Jun 9 11:21: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 754. Jun 9 11:21: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 753. Jun 9 11:21: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 752. Jun 9 11:21: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 751. Normalizing the superflat... flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits IMARITH: Operation = + Operand1 = nonorm_flat_fid_mag.ec.fits Operand2 = 12.95 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.0021.fits Magnify image EchelleThAr.0021.fits to image EchelleThAr.0021.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.0021.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0021.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0025.fits Magnify image EchelleThAr.0025.fits to image EchelleThAr.0025.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0025.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0025.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0029.fits Magnify image EchelleThAr.0029.fits to image EchelleThAr.0029.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.0029.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0029.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0034.fits Magnify image EchelleThAr.0034.fits to image EchelleThAr.0034.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.0034.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0034.fits updated Applying model apertures to the arc and extracting spectra... Resampling the object by a factor of 4 in the y direction... 140605.0022 Magnify image 140605.0022 to image 140605.0022. 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 140605.0022,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140605.0022 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140605.0022 -> noscat140605.0022 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Jun 9 11:22: EXTRACT: WARNING - Aperture 107: Jun 9 11:22: Total variance weighted spectrum flux is 5125.739 Jun 9 11:22: Total unweighted spectrum flux is -9100.385 Jun 9 11:22: Variance spectrum bias factor ignored Jun 9 11:22: EXTRACT: WARNING - Aperture 110: Jun 9 11:22: Total variance weighted spectrum flux is 5694.531 Jun 9 11:22: Total unweighted spectrum flux is 2313.417 Jun 9 11:22: EXTRACT: Aperture 110 variance spectrum bias factor is 0.4062524 Jun 9 11:22: EXTRACT: WARNING - Aperture 112: Jun 9 11:22: Total variance weighted spectrum flux is 3723.703 Jun 9 11:22: Total unweighted spectrum flux is 1725.273 Jun 9 11:22: EXTRACT: Aperture 112 variance spectrum bias factor is 0.4633219 Jun 9 11:22: EXTRACT: WARNING - Aperture 113: Jun 9 11:22: Total variance weighted spectrum flux is 2229.498 Jun 9 11:22: Total unweighted spectrum flux is -285.7773 Jun 9 11:22: Variance spectrum bias factor ignored Jun 9 11:22: EXTRACT: WARNING - Aperture 114: Jun 9 11:22: Total variance weighted spectrum flux is 2275.056 Jun 9 11:22: Total unweighted spectrum flux is 851.8445 Jun 9 11:22: EXTRACT: Aperture 114 variance spectrum bias factor is 0.3744279 Jun 9 11:22: EXTRACT: WARNING - Aperture 115: Jun 9 11:22: Total variance weighted spectrum flux is 1073.693 Jun 9 11:22: Total unweighted spectrum flux is 405.4159 Jun 9 11:22: EXTRACT: Aperture 115 variance spectrum bias factor is 0.37759 Resampling the object by a factor of 4 in the y direction... 140605.0023 Magnify image 140605.0023 to image 140605.0023. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 140605.0023,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140605.0023 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140605.0023 -> noscat140605.0023 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Jun 9 11:22: EXTRACT: WARNING - Aperture 100: Jun 9 11:22: Total variance weighted spectrum flux is 4695.331 Jun 9 11:22: Total unweighted spectrum flux is -2405.499 Jun 9 11:22: Variance spectrum bias factor ignored Jun 9 11:22: EXTRACT: WARNING - Aperture 106: Jun 9 11:22: Total variance weighted spectrum flux is 9007.59 Jun 9 11:22: Total unweighted spectrum flux is 2228.826 Jun 9 11:22: EXTRACT: Aperture 106 variance spectrum bias factor is 0.2474387 Jun 9 11:22: EXTRACT: WARNING - Aperture 107: Jun 9 11:22: Total variance weighted spectrum flux is 13652.5 Jun 9 11:22: Total unweighted spectrum flux is 4739.551 Jun 9 11:22: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3471563 Jun 9 11:22: EXTRACT: WARNING - Aperture 108: Jun 9 11:22: Total variance weighted spectrum flux is 6178.68 Jun 9 11:22: Total unweighted spectrum flux is 2606.165 Jun 9 11:22: EXTRACT: Aperture 108 variance spectrum bias factor is 0.4217997 Jun 9 11:22: EXTRACT: WARNING - Aperture 109: Jun 9 11:22: Total variance weighted spectrum flux is 9346.844 Jun 9 11:22: Total unweighted spectrum flux is 4281.195 Jun 9 11:22: EXTRACT: Aperture 109 variance spectrum bias factor is 0.4580365 Jun 9 11:22: EXTRACT: WARNING - Aperture 111: Jun 9 11:22: Total variance weighted spectrum flux is 8032.758 Jun 9 11:22: Total unweighted spectrum flux is 3626.949 Jun 9 11:22: EXTRACT: Aperture 111 variance spectrum bias factor is 0.4515198 Jun 9 11:22: EXTRACT: WARNING - Aperture 112: Jun 9 11:22: Total variance weighted spectrum flux is 7773.064 Jun 9 11:22: Total unweighted spectrum flux is 2902.336 Jun 9 11:22: EXTRACT: Aperture 112 variance spectrum bias factor is 0.3733838 Jun 9 11:22: EXTRACT: WARNING - Aperture 113: Jun 9 11:22: Total variance weighted spectrum flux is 1628.337 Jun 9 11:22: Total unweighted spectrum flux is -191.8221 Jun 9 11:22: Variance spectrum bias factor ignored Jun 9 11:22: EXTRACT: WARNING - Aperture 114: Jun 9 11:22: Total variance weighted spectrum flux is 4099.517 Jun 9 11:22: Total unweighted spectrum flux is 1192.517 Jun 9 11:22: EXTRACT: Aperture 114 variance spectrum bias factor is 0.290892 Jun 9 11:22: EXTRACT: WARNING - Aperture 115: Jun 9 11:22: Total variance weighted spectrum flux is 1780.819 Jun 9 11:22: Total unweighted spectrum flux is 498.0811 Jun 9 11:22: EXTRACT: Aperture 115 variance spectrum bias factor is 0.2796922 Resampling the object by a factor of 4 in the y direction... 140605.0024 Magnify image 140605.0024 to image 140605.0024. 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 140605.0024,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140605.0024 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140605.0024 -> noscat140605.0024 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Jun 9 11:23: EXTRACT: WARNING - Aperture 96: Jun 9 11:23: Total variance weighted spectrum flux is 11551.76 Jun 9 11:23: Total unweighted spectrum flux is 5157.445 Jun 9 11:23: EXTRACT: Aperture 96 variance spectrum bias factor is 0.4464641 Jun 9 11:23: EXTRACT: WARNING - Aperture 106: Jun 9 11:23: Total variance weighted spectrum flux is 15947.41 Jun 9 11:23: Total unweighted spectrum flux is 7230.6 Jun 9 11:23: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4534028 Jun 9 11:23: EXTRACT: WARNING - Aperture 108: Jun 9 11:23: Total variance weighted spectrum flux is 8454.443 Jun 9 11:23: Total unweighted spectrum flux is 2900.383 Jun 9 11:23: EXTRACT: Aperture 108 variance spectrum bias factor is 0.3430602 Jun 9 11:23: EXTRACT: WARNING - Aperture 109: Jun 9 11:23: Total variance weighted spectrum flux is 6962.454 Jun 9 11:23: Total unweighted spectrum flux is 3203.636 Jun 9 11:23: EXTRACT: Aperture 109 variance spectrum bias factor is 0.4601304 Jun 9 11:23: EXTRACT: WARNING - Aperture 111: Jun 9 11:23: Total variance weighted spectrum flux is 6541.027 Jun 9 11:23: Total unweighted spectrum flux is 1860.496 Jun 9 11:23: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2844349 Jun 9 11:23: EXTRACT: WARNING - Aperture 112: Jun 9 11:23: Total variance weighted spectrum flux is 8744.499 Jun 9 11:23: Total unweighted spectrum flux is 4348.563 Jun 9 11:23: EXTRACT: Aperture 112 variance spectrum bias factor is 0.4972913 Jun 9 11:23: EXTRACT: WARNING - Aperture 113: Jun 9 11:23: Total variance weighted spectrum flux is 3479.309 Jun 9 11:23: Total unweighted spectrum flux is -1749.961 Jun 9 11:23: Variance spectrum bias factor ignored Jun 9 11:23: EXTRACT: WARNING - Aperture 115: Jun 9 11:23: Total variance weighted spectrum flux is 3507.552 Jun 9 11:23: Total unweighted spectrum flux is 1687.367 Jun 9 11:23: EXTRACT: Aperture 115 variance spectrum bias factor is 0.4810669 Resampling the object by a factor of 4 in the y direction... 140605.0026 Magnify image 140605.0026 to image 140605.0026. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 140605.0026,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140605.0026 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140605.0026 -> noscat140605.0026 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Jun 9 11:24: EXTRACT: WARNING - Aperture 110: Jun 9 11:24: Total variance weighted spectrum flux is 14468.82 Jun 9 11:24: Total unweighted spectrum flux is 6507.821 Jun 9 11:24: EXTRACT: Aperture 110 variance spectrum bias factor is 0.4497824 Jun 9 11:24: EXTRACT: WARNING - Aperture 112: Jun 9 11:24: Total variance weighted spectrum flux is 12003.02 Jun 9 11:24: Total unweighted spectrum flux is 4758.678 Jun 9 11:24: EXTRACT: Aperture 112 variance spectrum bias factor is 0.3964566 Jun 9 11:24: EXTRACT: WARNING - Aperture 113: Jun 9 11:24: Total variance weighted spectrum flux is 5004.88 Jun 9 11:24: Total unweighted spectrum flux is 1620.38 Jun 9 11:24: EXTRACT: Aperture 113 variance spectrum bias factor is 0.32376 Resampling the object by a factor of 4 in the y direction... 140605.0027 Magnify image 140605.0027 to image 140605.0027. 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 140605.0027,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140605.0027 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140605.0027 -> noscat140605.0027 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 140605.0028 Magnify image 140605.0028 to image 140605.0028. 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 140605.0028,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140605.0028 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140605.0028 -> noscat140605.0028 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Jun 9 11:25: EXTRACT: WARNING - Aperture 103: Jun 9 11:25: Total variance weighted spectrum flux is 5464.206 Jun 9 11:25: Total unweighted spectrum flux is 1976.585 Jun 9 11:25: EXTRACT: Aperture 103 variance spectrum bias factor is 0.3617333 Jun 9 11:25: EXTRACT: WARNING - Aperture 106: Jun 9 11:25: Total variance weighted spectrum flux is 7079.232 Jun 9 11:25: Total unweighted spectrum flux is 1687.084 Jun 9 11:25: EXTRACT: Aperture 106 variance spectrum bias factor is 0.2383146 Jun 9 11:25: EXTRACT: WARNING - Aperture 107: Jun 9 11:25: Total variance weighted spectrum flux is 9378.933 Jun 9 11:25: Total unweighted spectrum flux is 3406.557 Jun 9 11:25: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3632137 Jun 9 11:25: EXTRACT: WARNING - Aperture 108: Jun 9 11:25: Total variance weighted spectrum flux is 9601.836 Jun 9 11:25: Total unweighted spectrum flux is 3275.49 Jun 9 11:25: EXTRACT: Aperture 108 variance spectrum bias factor is 0.3411316 Jun 9 11:25: EXTRACT: WARNING - Aperture 109: Jun 9 11:25: Total variance weighted spectrum flux is 7503.239 Jun 9 11:25: Total unweighted spectrum flux is 1183.72 Jun 9 11:25: EXTRACT: Aperture 109 variance spectrum bias factor is 0.1577612 Jun 9 11:25: EXTRACT: WARNING - Aperture 110: Jun 9 11:25: Total variance weighted spectrum flux is 9146.731 Jun 9 11:25: Total unweighted spectrum flux is 3651.815 Jun 9 11:25: EXTRACT: Aperture 110 variance spectrum bias factor is 0.3992481 Jun 9 11:25: EXTRACT: WARNING - Aperture 111: Jun 9 11:25: Total variance weighted spectrum flux is 3718.186 Jun 9 11:25: Total unweighted spectrum flux is 159.5848 Jun 9 11:25: EXTRACT: Aperture 111 variance spectrum bias factor is 0.04292008 Jun 9 11:25: EXTRACT: WARNING - Aperture 112: Jun 9 11:25: Total variance weighted spectrum flux is 4864.224 Jun 9 11:25: Total unweighted spectrum flux is 1534.186 Jun 9 11:25: EXTRACT: Aperture 112 variance spectrum bias factor is 0.315402 Jun 9 11:25: EXTRACT: WARNING - Aperture 113: Jun 9 11:25: Total variance weighted spectrum flux is 2144.56 Jun 9 11:25: Total unweighted spectrum flux is 1018.669 Jun 9 11:25: EXTRACT: Aperture 113 variance spectrum bias factor is 0.4750016 Jun 9 11:25: EXTRACT: WARNING - Aperture 114: Jun 9 11:25: Total variance weighted spectrum flux is 877.6243 Jun 9 11:25: Total unweighted spectrum flux is 194.604 Jun 9 11:25: EXTRACT: Aperture 114 variance spectrum bias factor is 0.2217396 Resampling the object by a factor of 4 in the y direction... 140605.0030 Magnify image 140605.0030 to image 140605.0030. 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 140605.0030,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140605.0030 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140605.0030 -> noscat140605.0030 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 140605.0031 Magnify image 140605.0031 to image 140605.0031. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 140605.0031,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140605.0031 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140605.0031 -> noscat140605.0031 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Jun 9 11:27: EXTRACT: WARNING - Aperture 109: Jun 9 11:27: Total variance weighted spectrum flux is 7869.56 Jun 9 11:27: Total unweighted spectrum flux is 1226.692 Jun 9 11:27: EXTRACT: Aperture 109 variance spectrum bias factor is 0.1558781 Jun 9 11:27: EXTRACT: WARNING - Aperture 110: Jun 9 11:27: Total variance weighted spectrum flux is 6698.254 Jun 9 11:27: Total unweighted spectrum flux is 2992.905 Jun 9 11:27: EXTRACT: Aperture 110 variance spectrum bias factor is 0.4468186 Jun 9 11:27: EXTRACT: WARNING - Aperture 111: Jun 9 11:27: Total variance weighted spectrum flux is 9737.864 Jun 9 11:27: Total unweighted spectrum flux is 4253.729 Jun 9 11:27: EXTRACT: Aperture 111 variance spectrum bias factor is 0.4368236 Jun 9 11:27: EXTRACT: WARNING - Aperture 112: Jun 9 11:27: Total variance weighted spectrum flux is 7266.443 Jun 9 11:27: Total unweighted spectrum flux is 1587.7 Jun 9 11:27: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2184976 Jun 9 11:27: EXTRACT: WARNING - Aperture 113: Jun 9 11:27: Total variance weighted spectrum flux is 4039.174 Jun 9 11:27: Total unweighted spectrum flux is 699.5063 Jun 9 11:27: EXTRACT: Aperture 113 variance spectrum bias factor is 0.1731806 Jun 9 11:27: EXTRACT: WARNING - Aperture 115: Jun 9 11:27: Total variance weighted spectrum flux is 4940.638 Jun 9 11:27: Total unweighted spectrum flux is 1513.246 Jun 9 11:27: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3062855 Resampling the object by a factor of 4 in the y direction... 140605.0032 Magnify image 140605.0032 to image 140605.0032. 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 140605.0032,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140605.0032 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140605.0032 -> noscat140605.0032 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Jun 9 11:28: EXTRACT: WARNING - Aperture 115: Jun 9 11:28: Total variance weighted spectrum flux is 5957.198 Jun 9 11:28: Total unweighted spectrum flux is 2017.047 Jun 9 11:28: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3385899 Resampling the object by a factor of 4 in the y direction... 140605.0033 Magnify image 140605.0033 to image 140605.0033. 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 140605.0033,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140605.0033 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140605.0033 -> noscat140605.0033 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Jun 9 11:29: EXTRACT: WARNING - Aperture 111: Jun 9 11:29: Total variance weighted spectrum flux is 12429.73 Jun 9 11:29: Total unweighted spectrum flux is 3244.658 Jun 9 11:29: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2610401 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.0021.ec.fits,REFSPEC1 = EchelleThAr.0021.ec.fits EchelleThAr.0021.ec.fits updated add EchelleThAr.0025.ec.fits,REFSPEC1 = EchelleThAr.0025.ec.fits EchelleThAr.0025.ec.fits updated add EchelleThAr.0029.ec.fits,REFSPEC1 = EchelleThAr.0029.ec.fits EchelleThAr.0029.ec.fits updated add EchelleThAr.0034.ec.fits,REFSPEC1 = EchelleThAr.0034.ec.fits EchelleThAr.0034.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 -> 06:16:55.540013 EchelleThAr.0017.ec.fits updated add EchelleThAr.0018.ec.fits,UTMIDDLE = 0 EchelleThAr.0018.ec.fits updated EchelleThAr.0018.ec.fits,UTMIDDLE: 0 -> 06:19:46.923226 EchelleThAr.0018.ec.fits updated add EchelleThAr.0019.ec.fits,UTMIDDLE = 0 EchelleThAr.0019.ec.fits updated EchelleThAr.0019.ec.fits,UTMIDDLE: 0 -> 06:22:50.096744 EchelleThAr.0019.ec.fits updated add EchelleThAr.0020.ec.fits,UTMIDDLE = 0 EchelleThAr.0020.ec.fits updated EchelleThAr.0020.ec.fits,UTMIDDLE: 0 -> 06:25:52.376261 EchelleThAr.0020.ec.fits updated add EchelleThAr.0021.ec.fits,UTMIDDLE = 0 EchelleThAr.0021.ec.fits updated EchelleThAr.0021.ec.fits,UTMIDDLE: 0 -> 07:08:27.916746 EchelleThAr.0021.ec.fits updated add EchelleThAr.0025.ec.fits,UTMIDDLE = 0 EchelleThAr.0025.ec.fits updated EchelleThAr.0025.ec.fits,UTMIDDLE: 0 -> 08:29:15.712208 EchelleThAr.0025.ec.fits updated add EchelleThAr.0029.ec.fits,UTMIDDLE = 0 EchelleThAr.0029.ec.fits updated EchelleThAr.0029.ec.fits,UTMIDDLE: 0 -> 09:47:12.480736 EchelleThAr.0029.ec.fits updated add EchelleThAr.0034.ec.fits,UTMIDDLE = 0 EchelleThAr.0034.ec.fits updated EchelleThAr.0034.ec.fits,UTMIDDLE: 0 -> 11:14:14.314214 EchelleThAr.0034.ec.fits updated add 140605.0022.ec.fits,UTMIDDLE = 0 140605.0022.ec.fits updated 140605.0022.ec.fits,UTMIDDLE: 0 -> 07:28:12.389738 140605.0022.ec.fits updated add 140605.0023.ec.fits,UTMIDDLE = 0 140605.0023.ec.fits updated 140605.0023.ec.fits,UTMIDDLE: 0 -> 07:51:05.717920 140605.0023.ec.fits updated add 140605.0024.ec.fits,UTMIDDLE = 0 140605.0024.ec.fits updated 140605.0024.ec.fits,UTMIDDLE: 0 -> 08:16:08.943902 140605.0024.ec.fits updated add 140605.0026.ec.fits,UTMIDDLE = 0 140605.0026.ec.fits updated 140605.0026.ec.fits,UTMIDDLE: 0 -> 08:42:26.279343 140605.0026.ec.fits updated add 140605.0027.ec.fits,UTMIDDLE = 0 140605.0027.ec.fits updated 140605.0027.ec.fits,UTMIDDLE: 0 -> 09:06:28.394746 140605.0027.ec.fits updated add 140605.0028.ec.fits,UTMIDDLE = 0 140605.0028.ec.fits updated 140605.0028.ec.fits,UTMIDDLE: 0 -> 09:31:45.685842 140605.0028.ec.fits updated add 140605.0030.ec.fits,UTMIDDLE = 0 140605.0030.ec.fits updated 140605.0030.ec.fits,UTMIDDLE: 0 -> 09:56:07.418918 140605.0030.ec.fits updated add 140605.0031.ec.fits,UTMIDDLE = 0 140605.0031.ec.fits updated 140605.0031.ec.fits,UTMIDDLE: 0 -> 10:17:52.824940 140605.0031.ec.fits updated add 140605.0032.ec.fits,UTMIDDLE = 0 140605.0032.ec.fits updated 140605.0032.ec.fits,UTMIDDLE: 0 -> 10:41:19.072221 140605.0032.ec.fits updated add 140605.0033.ec.fits,UTMIDDLE = 0 140605.0033.ec.fits updated 140605.0033.ec.fits,UTMIDDLE: 0 -> 11:03:01.441161 140605.0033.ec.fits updated Setting Julian Date Keywords # Image jd hjd ljd # SETJD: Observatory parameters for Apache Point Observatory # timezone = 7 140605.0022.ec.fits 2456813.81125 2456813.81279 2456813 140605.0023.ec.fits 2456813.82715 2456813.82893 2456813 140605.0024.ec.fits 2456813.84455 2456813.84627 2456813 140605.0026.ec.fits 2456813.86280 2456813.86450 2456813 140605.0027.ec.fits 2456813.87950 2456813.88045 2456813 140605.0028.ec.fits 2456813.89706 2456813.89822 2456813 140605.0030.ec.fits 2456813.91397 2456813.91540 2456813 140605.0031.ec.fits 2456813.92908 2456813.93087 2456813 140605.0032.ec.fits 2456813.94536 2456813.94651 2456813 140605.0033.ec.fits 2456813.96043 2456813.96163 2456813 ECREIDENTIFY: NOAO/IRAF V2.16.1 jeanm12@tequila.nmsu.edu Mon 11:29:01 09-Jun-2014 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS EchelleThAr.0017.ec 1013/2055 1013/1013 4.92 -36.1 -6.4E-5 0.0126 EchelleThAr.0018.ec 1973/2055 1973/1973 4.93 -36.2 -6.4E-5 0.0107 EchelleThAr.0019.ec 1976/2055 1976/1976 4.92 -36.1 -6.4E-5 0.00982 EchelleThAr.0020.ec 1991/2055 1991/1991 4.92 -36.1 -6.4E-5 0.0103 EchelleThAr.0021.ec 1949/2055 1949/1949 4.65 -34.1 -6.0E-5 0.0112 EchelleThAr.0025.ec 1965/2055 1965/1965 4.27 -31.3 -5.5E-5 0.00901 EchelleThAr.0029.ec 1978/2055 1978/1978 4.03 -29.6 -5.2E-5 0.00875 EchelleThAr.0034.ec 1975/2055 1975/1975 4.02 -29.5 -5.2E-5 0.00966 [140605.0022.ec] refspec1='EchelleThAr.0021.ec 0.75566769' [140605.0022.ec] refspec2='EchelleThAr.0025.ec 0.2443323' [140605.0023.ec] refspec1='EchelleThAr.0021.ec 0.47237849' [140605.0023.ec] refspec2='EchelleThAr.0025.ec 0.52762151' [140605.0024.ec] refspec1='EchelleThAr.0021.ec 0.16229405' [140605.0024.ec] refspec2='EchelleThAr.0025.ec 0.83770597' [140605.0026.ec] refspec1='EchelleThAr.0025.ec 0.83095866' [140605.0026.ec] refspec2='EchelleThAr.0029.ec 0.16904132' [140605.0027.ec] refspec1='EchelleThAr.0025.ec 0.52260143' [140605.0027.ec] refspec2='EchelleThAr.0029.ec 0.47739854' [140605.0028.ec] refspec1='EchelleThAr.0025.ec 0.19816993' [140605.0028.ec] refspec2='EchelleThAr.0029.ec 0.80183005' [140605.0030.ec] refspec1='EchelleThAr.0029.ec 0.89755738' [140605.0030.ec] refspec2='EchelleThAr.0034.ec 0.1024426' [140605.0031.ec] refspec1='EchelleThAr.0029.ec 0.64756745' [140605.0031.ec] refspec2='EchelleThAr.0034.ec 0.35243258' [140605.0032.ec] refspec1='EchelleThAr.0029.ec 0.37826598' [140605.0032.ec] refspec2='EchelleThAr.0034.ec 0.62173402' [140605.0033.ec] refspec1='EchelleThAr.0029.ec 0.12885763' [140605.0033.ec] refspec2='EchelleThAr.0034.ec 0.87114239' [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.0021.ec] refspec1='EchelleThAr.0021.ec' [EchelleThAr.0025.ec] refspec1='EchelleThAr.0025.ec' [EchelleThAr.0029.ec] refspec1='EchelleThAr.0029.ec' [EchelleThAr.0034.ec] refspec1='EchelleThAr.0034.ec' 140605.0022.ec.fits: REFSPEC1 = 'EchelleThAr.0021.ec 0.75566769' 140605.0022.ec.fits: REFSPEC2 = 'EchelleThAr.0025.ec 0.2443323' 140605.0022.ec.fits: ap = 1, w1 = 10812.37, w2 = 10584.19, dw = -0.13829, nw = 1651 140605.0022.ec.fits: ap = 2, w1 = 10612.16, w2 = 10388.2, dw = -0.13573, nw = 1651 140605.0022.ec.fits: ap = 3, w1 = 10419.22, w2 = 10199.35, dw = -0.13326, nw = 1651 140605.0022.ec.fits: ap = 4, w1 = 10233.18, w2 = 10017.23, dw = -0.13088, nw = 1651 140605.0022.ec.fits: ap = 5, w1 = 10053.67, w2 = 9841.51, dw = -0.12858, nw = 1651 140605.0022.ec.fits: ap = 6, w1 = 9880.342, w2 = 9671.846, dw = -0.12636, nw = 1651 140605.0022.ec.fits: ap = 7, w1 = 9712.892, w2 = 9507.933, dw = -0.12422, nw = 1651 140605.0022.ec.fits: ap = 8, w1 = 9551.023, w2 = 9349.483, dw = -0.12215, nw = 1651 140605.0022.ec.fits: ap = 9, w1 = 9394.462, w2 = 9196.229, dw = -0.12014, nw = 1651 140605.0022.ec.fits: ap = 10, w1 = 9242.952, w2 = 9047.918, dw = -0.1182, nw = 1651 140605.0022.ec.fits: ap = 11, w1 = 9096.251, w2 = 8904.315, dw = -0.11632, nw = 1651 140605.0022.ec.fits: ap = 12, w1 = 8954.134, w2 = 8765.2, dw = -0.11451, nw = 1651 140605.0022.ec.fits: ap = 13, w1 = 8816.39, w2 = 8630.365, dw = -0.11274, nw = 1651 140605.0022.ec.fits: ap = 14, w1 = 8682.82, w2 = 8499.615, dw = -0.11103, nw = 1651 140605.0022.ec.fits: ap = 15, w1 = 8553.237, w2 = 8372.769, dw = -0.10937, nw = 1651 140605.0022.ec.fits: ap = 16, w1 = 8427.465, w2 = 8249.653, dw = -0.10777, nw = 1651 140605.0022.ec.fits: ap = 17, w1 = 8305.339, w2 = 8130.106, dw = -0.1062, nw = 1651 140605.0022.ec.fits: ap = 18, w1 = 8186.702, w2 = 8013.974, dw = -0.10468, nw = 1651 140605.0022.ec.fits: ap = 19, w1 = 8071.407, w2 = 7901.113, dw = -0.10321, nw = 1651 140605.0022.ec.fits: ap = 20, w1 = 7959.315, w2 = 7791.388, dw = -0.10177, nw = 1651 140605.0022.ec.fits: ap = 21, w1 = 7850.293, w2 = 7684.668, dw = -0.10038, nw = 1651 140605.0022.ec.fits: ap = 22, w1 = 7744.218, w2 = 7580.833, dw = -0.09902, nw = 1651 140605.0022.ec.fits: ap = 23, w1 = 7640.972, w2 = 7479.767, dw = -0.0977, nw = 1651 140605.0022.ec.fits: ap = 24, w1 = 7540.442, w2 = 7381.36, dw = -0.09641, nw = 1651 140605.0022.ec.fits: ap = 25, w1 = 7442.524, w2 = 7285.51, dw = -0.09516, nw = 1651 140605.0022.ec.fits: ap = 26, w1 = 7347.116, w2 = 7192.117, dw = -0.09394, nw = 1651 140605.0022.ec.fits: ap = 27, w1 = 7254.124, w2 = 7101.089, dw = -0.09275, nw = 1651 140605.0022.ec.fits: ap = 28, w1 = 7163.457, w2 = 7012.336, dw = -0.09159, nw = 1651 140605.0022.ec.fits: ap = 29, w1 = 7075.028, w2 = 6925.775, dw = -0.09046, nw = 1651 140605.0022.ec.fits: ap = 30, w1 = 6988.756, w2 = 6841.325, dw = -0.08935, nw = 1651 140605.0022.ec.fits: ap = 31, w1 = 6904.563, w2 = 6758.91, dw = -0.08827, nw = 1651 140605.0022.ec.fits: ap = 32, w1 = 6822.375, w2 = 6678.457, dw = -0.08722, nw = 1651 140605.0022.ec.fits: ap = 33, w1 = 6742.12, w2 = 6599.897, dw = -0.0862, nw = 1651 140605.0022.ec.fits: ap = 34, w1 = 6663.732, w2 = 6523.165, dw = -0.08519, nw = 1651 140605.0022.ec.fits: ap = 35, w1 = 6587.146, w2 = 6448.196, dw = -0.08421, nw = 1651 140605.0022.ec.fits: ap = 36, w1 = 6512.3, w2 = 6374.932, dw = -0.08325, nw = 1651 140605.0022.ec.fits: ap = 37, w1 = 6439.137, w2 = 6303.314, dw = -0.08232, nw = 1651 140605.0022.ec.fits: ap = 38, w1 = 6367.599, w2 = 6233.287, dw = -0.0814, nw = 1651 140605.0022.ec.fits: ap = 39, w1 = 6297.634, w2 = 6164.8, dw = -0.08051, nw = 1651 140605.0022.ec.fits: ap = 40, w1 = 6229.19, w2 = 6097.801, dw = -0.07963, nw = 1651 140605.0022.ec.fits: ap = 41, w1 = 6162.217, w2 = 6032.244, dw = -0.07877, nw = 1651 140605.0022.ec.fits: ap = 42, w1 = 6096.67, w2 = 5968.081, dw = -0.07793, nw = 1651 140605.0022.ec.fits: ap = 43, w1 = 6032.503, w2 = 5905.269, dw = -0.07711, nw = 1651 140605.0022.ec.fits: ap = 44, w1 = 5969.672, w2 = 5843.766, dw = -0.07631, nw = 1651 140605.0022.ec.fits: ap = 45, w1 = 5908.137, w2 = 5783.531, dw = -0.07552, nw = 1651 140605.0022.ec.fits: ap = 46, w1 = 5847.858, w2 = 5724.526, dw = -0.07475, nw = 1651 140605.0022.ec.fits: ap = 47, w1 = 5788.797, w2 = 5666.713, dw = -0.07399, nw = 1651 140605.0022.ec.fits: ap = 48, w1 = 5730.917, w2 = 5610.056, dw = -0.07325, nw = 1651 140605.0022.ec.fits: ap = 49, w1 = 5674.184, w2 = 5554.521, dw = -0.07252, nw = 1651 140605.0022.ec.fits: ap = 50, w1 = 5618.563, w2 = 5500.075, dw = -0.07181, nw = 1651 140605.0022.ec.fits: ap = 51, w1 = 5564.022, w2 = 5446.686, dw = -0.07111, nw = 1651 140605.0022.ec.fits: ap = 52, w1 = 5510.529, w2 = 5394.324, dw = -0.07043, nw = 1651 140605.0022.ec.fits: ap = 53, w1 = 5458.057, w2 = 5342.961, dw = -0.06976, nw = 1651 140605.0022.ec.fits: ap = 54, w1 = 5406.574, w2 = 5292.566, dw = -0.0691, nw = 1651 140605.0022.ec.fits: ap = 55, w1 = 5356.054, w2 = 5243.113, dw = -0.06845, nw = 1651 140605.0022.ec.fits: ap = 56, w1 = 5306.469, w2 = 5194.576, dw = -0.06781, nw = 1651 140605.0022.ec.fits: ap = 57, w1 = 5257.794, w2 = 5146.93, dw = -0.06719, nw = 1651 140605.0022.ec.fits: ap = 58, w1 = 5210.004, w2 = 5100.15, dw = -0.06658, nw = 1651 140605.0022.ec.fits: ap = 59, w1 = 5163.075, w2 = 5054.213, dw = -0.06598, nw = 1651 140605.0022.ec.fits: ap = 60, w1 = 5116.985, w2 = 5009.096, dw = -0.06539, nw = 1651 140605.0022.ec.fits: ap = 61, w1 = 5071.71, w2 = 4964.778, dw = -0.06481, nw = 1651 140605.0022.ec.fits: ap = 62, w1 = 5027.23, w2 = 4921.238, dw = -0.06424, nw = 1651 140605.0022.ec.fits: ap = 63, w1 = 4983.523, w2 = 4878.455, dw = -0.06368, nw = 1651 140605.0022.ec.fits: ap = 64, w1 = 4940.57, w2 = 4836.41, dw = -0.06313, nw = 1651 140605.0022.ec.fits: ap = 65, w1 = 4898.352, w2 = 4795.083, dw = -0.06259, nw = 1651 140605.0022.ec.fits: ap = 66, w1 = 4856.849, w2 = 4754.457, dw = -0.06206, nw = 1651 140605.0022.ec.fits: ap = 67, w1 = 4816.044, w2 = 4714.514, dw = -0.06153, nw = 1651 140605.0022.ec.fits: ap = 68, w1 = 4775.919, w2 = 4675.237, dw = -0.06102, nw = 1651 140605.0022.ec.fits: ap = 69, w1 = 4736.457, w2 = 4636.609, dw = -0.06051, nw = 1651 140605.0022.ec.fits: ap = 70, w1 = 4697.642, w2 = 4598.615, dw = -0.06002, nw = 1651 140605.0022.ec.fits: ap = 71, w1 = 4659.459, w2 = 4561.238, dw = -0.05953, nw = 1651 140605.0022.ec.fits: ap = 72, w1 = 4621.892, w2 = 4524.464, dw = -0.05905, nw = 1651 140605.0022.ec.fits: ap = 73, w1 = 4584.925, w2 = 4488.279, dw = -0.05857, nw = 1651 140605.0022.ec.fits: ap = 74, w1 = 4548.546, w2 = 4452.668, dw = -0.05811, nw = 1651 140605.0022.ec.fits: ap = 75, w1 = 4512.74, w2 = 4417.617, dw = -0.05765, nw = 1651 140605.0022.ec.fits: ap = 76, w1 = 4477.493, w2 = 4383.115, dw = -0.0572, nw = 1651 140605.0022.ec.fits: ap = 77, w1 = 4442.793, w2 = 4349.148, dw = -0.05675, nw = 1651 140605.0022.ec.fits: ap = 78, w1 = 4408.627, w2 = 4315.703, dw = -0.05632, nw = 1651 140605.0022.ec.fits: ap = 79, w1 = 4374.983, w2 = 4282.769, dw = -0.05589, nw = 1651 140605.0022.ec.fits: ap = 80, w1 = 4341.848, w2 = 4250.333, dw = -0.05546, nw = 1651 140605.0022.ec.fits: ap = 81, w1 = 4309.212, w2 = 4218.386, dw = -0.05505, nw = 1651 140605.0022.ec.fits: ap = 82, w1 = 4277.063, w2 = 4186.915, dw = -0.05464, nw = 1651 140605.0022.ec.fits: ap = 83, w1 = 4245.391, w2 = 4155.911, dw = -0.05423, nw = 1651 140605.0022.ec.fits: ap = 84, w1 = 4214.185, w2 = 4125.363, dw = -0.05383, nw = 1651 140605.0022.ec.fits: ap = 85, w1 = 4183.434, w2 = 4095.261, dw = -0.05344, nw = 1651 140605.0022.ec.fits: ap = 86, w1 = 4153.129, w2 = 4065.594, dw = -0.05305, nw = 1651 140605.0022.ec.fits: ap = 87, w1 = 4123.26, w2 = 4036.355, dw = -0.05267, nw = 1651 140605.0022.ec.fits: ap = 88, w1 = 4093.818, w2 = 4007.534, dw = -0.05229, nw = 1651 140605.0022.ec.fits: ap = 89, w1 = 4064.794, w2 = 3979.121, dw = -0.05192, nw = 1651 140605.0022.ec.fits: ap = 90, w1 = 4036.179, w2 = 3951.108, dw = -0.05156, nw = 1651 140605.0022.ec.fits: ap = 91, w1 = 4007.964, w2 = 3923.488, dw = -0.0512, nw = 1651 140605.0022.ec.fits: ap = 92, w1 = 3980.141, w2 = 3896.25, dw = -0.05084, nw = 1651 140605.0022.ec.fits: ap = 93, w1 = 3952.702, w2 = 3869.389, dw = -0.05049, nw = 1651 140605.0022.ec.fits: ap = 94, w1 = 3925.639, w2 = 3842.895, dw = -0.05015, nw = 1651 140605.0022.ec.fits: ap = 95, w1 = 3898.945, w2 = 3816.762, dw = -0.04981, nw = 1651 140605.0022.ec.fits: ap = 96, w1 = 3872.611, w2 = 3790.982, dw = -0.04947, nw = 1651 140605.0022.ec.fits: ap = 97, w1 = 3846.631, w2 = 3765.548, dw = -0.04914, nw = 1651 140605.0022.ec.fits: ap = 98, w1 = 3820.998, w2 = 3740.452, dw = -0.04882, nw = 1651 140605.0022.ec.fits: ap = 99, w1 = 3795.704, w2 = 3715.69, dw = -0.04849, nw = 1651 140605.0022.ec.fits: ap = 100, w1 = 3770.743, w2 = 3691.253, dw = -0.04818, nw = 1651 140605.0022.ec.fits: ap = 101, w1 = 3746.109, w2 = 3667.135, dw = -0.04786, nw = 1651 140605.0022.ec.fits: ap = 102, w1 = 3721.795, w2 = 3643.33, dw = -0.04755, nw = 1651 140605.0022.ec.fits: ap = 103, w1 = 3697.794, w2 = 3619.833, dw = -0.04725, nw = 1651 140605.0022.ec.fits: ap = 104, w1 = 3674.102, w2 = 3596.637, dw = -0.04695, nw = 1651 140605.0022.ec.fits: ap = 105, w1 = 3650.711, w2 = 3573.736, dw = -0.04665, nw = 1651 140605.0022.ec.fits: ap = 106, w1 = 3627.617, w2 = 3551.124, dw = -0.04636, nw = 1651 140605.0022.ec.fits: ap = 107, w1 = 3604.813, w2 = 3528.797, dw = -0.04607, nw = 1651 140605.0022.ec.fits: ap = 108, w1 = 3582.295, w2 = 3506.749, dw = -0.04579, nw = 1651 140605.0022.ec.fits: ap = 109, w1 = 3560.056, w2 = 3484.975, dw = -0.0455, nw = 1651 140605.0022.ec.fits: ap = 110, w1 = 3538.093, w2 = 3463.47, dw = -0.04523, nw = 1651 140605.0022.ec.fits: ap = 111, w1 = 3516.398, w2 = 3442.228, dw = -0.04495, nw = 1651 140605.0022.ec.fits: ap = 112, w1 = 3494.969, w2 = 3421.245, dw = -0.04468, nw = 1651 140605.0022.ec.fits: ap = 113, w1 = 3473.799, w2 = 3400.516, dw = -0.04441, nw = 1651 140605.0022.ec.fits: ap = 114, w1 = 3452.885, w2 = 3380.037, dw = -0.04415, nw = 1651 140605.0022.ec.fits: ap = 115, w1 = 3432.221, w2 = 3359.803, dw = -0.04389, nw = 1651 140605.0023.ec.fits: REFSPEC1 = 'EchelleThAr.0021.ec 0.47237849' 140605.0023.ec.fits: REFSPEC2 = 'EchelleThAr.0025.ec 0.52762151' 140605.0023.ec.fits: ap = 1, w1 = 10812.34, w2 = 10584.17, dw = -0.13829, nw = 1651 140605.0023.ec.fits: ap = 2, w1 = 10612.13, w2 = 10388.19, dw = -0.13572, nw = 1651 140605.0023.ec.fits: ap = 3, w1 = 10419.2, w2 = 10199.33, dw = -0.13326, nw = 1651 140605.0023.ec.fits: ap = 4, w1 = 10233.16, w2 = 10017.22, dw = -0.13087, nw = 1651 140605.0023.ec.fits: ap = 5, w1 = 10053.65, w2 = 9841.496, dw = -0.12858, nw = 1651 140605.0023.ec.fits: ap = 6, w1 = 9880.324, w2 = 9671.833, dw = -0.12636, nw = 1651 140605.0023.ec.fits: ap = 7, w1 = 9712.876, w2 = 9507.92, dw = -0.12422, nw = 1651 140605.0023.ec.fits: ap = 8, w1 = 9551.008, w2 = 9349.47, dw = -0.12214, nw = 1651 140605.0023.ec.fits: ap = 9, w1 = 9394.448, w2 = 9196.216, dw = -0.12014, nw = 1651 140605.0023.ec.fits: ap = 10, w1 = 9242.938, w2 = 9047.905, dw = -0.1182, nw = 1651 140605.0023.ec.fits: ap = 11, w1 = 9096.238, w2 = 8904.303, dw = -0.11632, nw = 1651 140605.0023.ec.fits: ap = 12, w1 = 8954.122, w2 = 8765.187, dw = -0.11451, nw = 1651 140605.0023.ec.fits: ap = 13, w1 = 8816.379, w2 = 8630.353, dw = -0.11274, nw = 1651 140605.0023.ec.fits: ap = 14, w1 = 8682.809, w2 = 8499.603, dw = -0.11103, nw = 1651 140605.0023.ec.fits: ap = 15, w1 = 8553.227, w2 = 8372.757, dw = -0.10938, nw = 1651 140605.0023.ec.fits: ap = 16, w1 = 8427.455, w2 = 8249.641, dw = -0.10777, nw = 1651 140605.0023.ec.fits: ap = 17, w1 = 8305.329, w2 = 8130.094, dw = -0.1062, nw = 1651 140605.0023.ec.fits: ap = 18, w1 = 8186.693, w2 = 8013.963, dw = -0.10468, nw = 1651 140605.0023.ec.fits: ap = 19, w1 = 8071.398, w2 = 7901.102, dw = -0.10321, nw = 1651 140605.0023.ec.fits: ap = 20, w1 = 7959.305, w2 = 7791.377, dw = -0.10177, nw = 1651 140605.0023.ec.fits: ap = 21, w1 = 7850.284, w2 = 7684.658, dw = -0.10038, nw = 1651 140605.0023.ec.fits: ap = 22, w1 = 7744.209, w2 = 7580.823, dw = -0.09902, nw = 1651 140605.0023.ec.fits: ap = 23, w1 = 7640.963, w2 = 7479.757, dw = -0.0977, nw = 1651 140605.0023.ec.fits: ap = 24, w1 = 7540.433, w2 = 7381.35, dw = -0.09641, nw = 1651 140605.0023.ec.fits: ap = 25, w1 = 7442.515, w2 = 7285.5, dw = -0.09516, nw = 1651 140605.0023.ec.fits: ap = 26, w1 = 7347.108, w2 = 7192.107, dw = -0.09394, nw = 1651 140605.0023.ec.fits: ap = 27, w1 = 7254.115, w2 = 7101.079, dw = -0.09275, nw = 1651 140605.0023.ec.fits: ap = 28, w1 = 7163.448, w2 = 7012.327, dw = -0.09159, nw = 1651 140605.0023.ec.fits: ap = 29, w1 = 7075.019, w2 = 6925.765, dw = -0.09046, nw = 1651 140605.0023.ec.fits: ap = 30, w1 = 6988.747, w2 = 6841.316, dw = -0.08935, nw = 1651 140605.0023.ec.fits: ap = 31, w1 = 6904.554, w2 = 6758.901, dw = -0.08827, nw = 1651 140605.0023.ec.fits: ap = 32, w1 = 6822.366, w2 = 6678.448, dw = -0.08722, nw = 1651 140605.0023.ec.fits: ap = 33, w1 = 6742.111, w2 = 6599.889, dw = -0.0862, nw = 1651 140605.0023.ec.fits: ap = 34, w1 = 6663.723, w2 = 6523.156, dw = -0.08519, nw = 1651 140605.0023.ec.fits: ap = 35, w1 = 6587.137, w2 = 6448.188, dw = -0.08421, nw = 1651 140605.0023.ec.fits: ap = 36, w1 = 6512.292, w2 = 6374.923, dw = -0.08325, nw = 1651 140605.0023.ec.fits: ap = 37, w1 = 6439.128, w2 = 6303.305, dw = -0.08232, nw = 1651 140605.0023.ec.fits: ap = 38, w1 = 6367.59, w2 = 6233.279, dw = -0.0814, nw = 1651 140605.0023.ec.fits: ap = 39, w1 = 6297.625, w2 = 6164.792, dw = -0.08051, nw = 1651 140605.0023.ec.fits: ap = 40, w1 = 6229.181, w2 = 6097.793, dw = -0.07963, nw = 1651 140605.0023.ec.fits: ap = 41, w1 = 6162.209, w2 = 6032.236, dw = -0.07877, nw = 1651 140605.0023.ec.fits: ap = 42, w1 = 6096.661, w2 = 5968.073, dw = -0.07793, nw = 1651 140605.0023.ec.fits: ap = 43, w1 = 6032.494, w2 = 5905.262, dw = -0.07711, nw = 1651 140605.0023.ec.fits: ap = 44, w1 = 5969.664, w2 = 5843.759, dw = -0.07631, nw = 1651 140605.0023.ec.fits: ap = 45, w1 = 5908.129, w2 = 5783.524, dw = -0.07552, nw = 1651 140605.0023.ec.fits: ap = 46, w1 = 5847.85, w2 = 5724.519, dw = -0.07475, nw = 1651 140605.0023.ec.fits: ap = 47, w1 = 5788.788, w2 = 5666.705, dw = -0.07399, nw = 1651 140605.0023.ec.fits: ap = 48, w1 = 5730.909, w2 = 5610.049, dw = -0.07325, nw = 1651 140605.0023.ec.fits: ap = 49, w1 = 5674.175, w2 = 5554.514, dw = -0.07252, nw = 1651 140605.0023.ec.fits: ap = 50, w1 = 5618.554, w2 = 5500.068, dw = -0.07181, nw = 1651 140605.0023.ec.fits: ap = 51, w1 = 5564.013, w2 = 5446.679, dw = -0.07111, nw = 1651 140605.0023.ec.fits: ap = 52, w1 = 5510.521, w2 = 5394.318, dw = -0.07043, nw = 1651 140605.0023.ec.fits: ap = 53, w1 = 5458.048, w2 = 5342.954, dw = -0.06975, nw = 1651 140605.0023.ec.fits: ap = 54, w1 = 5406.565, w2 = 5292.559, dw = -0.06909, nw = 1651 140605.0023.ec.fits: ap = 55, w1 = 5356.045, w2 = 5243.106, dw = -0.06845, nw = 1651 140605.0023.ec.fits: ap = 56, w1 = 5306.46, w2 = 5194.569, dw = -0.06781, nw = 1651 140605.0023.ec.fits: ap = 57, w1 = 5257.785, w2 = 5146.923, dw = -0.06719, nw = 1651 140605.0023.ec.fits: ap = 58, w1 = 5209.995, w2 = 5100.143, dw = -0.06658, nw = 1651 140605.0023.ec.fits: ap = 59, w1 = 5163.066, w2 = 5054.206, dw = -0.06598, nw = 1651 140605.0023.ec.fits: ap = 60, w1 = 5116.976, w2 = 5009.089, dw = -0.06539, nw = 1651 140605.0023.ec.fits: ap = 61, w1 = 5071.701, w2 = 4964.771, dw = -0.06481, nw = 1651 140605.0023.ec.fits: ap = 62, w1 = 5027.221, w2 = 4921.231, dw = -0.06424, nw = 1651 140605.0023.ec.fits: ap = 63, w1 = 4983.514, w2 = 4878.448, dw = -0.06368, nw = 1651 140605.0023.ec.fits: ap = 64, w1 = 4940.561, w2 = 4836.402, dw = -0.06313, nw = 1651 140605.0023.ec.fits: ap = 65, w1 = 4898.342, w2 = 4795.076, dw = -0.06259, nw = 1651 140605.0023.ec.fits: ap = 66, w1 = 4856.839, w2 = 4754.45, dw = -0.06205, nw = 1651 140605.0023.ec.fits: ap = 67, w1 = 4816.034, w2 = 4714.507, dw = -0.06153, nw = 1651 140605.0023.ec.fits: ap = 68, w1 = 4775.909, w2 = 4675.23, dw = -0.06102, nw = 1651 140605.0023.ec.fits: ap = 69, w1 = 4736.447, w2 = 4636.602, dw = -0.06051, nw = 1651 140605.0023.ec.fits: ap = 70, w1 = 4697.632, w2 = 4598.607, dw = -0.06002, nw = 1651 140605.0023.ec.fits: ap = 71, w1 = 4659.449, w2 = 4561.23, dw = -0.05953, nw = 1651 140605.0023.ec.fits: ap = 72, w1 = 4621.881, w2 = 4524.456, dw = -0.05905, nw = 1651 140605.0023.ec.fits: ap = 73, w1 = 4584.915, w2 = 4488.271, dw = -0.05857, nw = 1651 140605.0023.ec.fits: ap = 74, w1 = 4548.535, w2 = 4452.66, dw = -0.05811, nw = 1651 140605.0023.ec.fits: ap = 75, w1 = 4512.729, w2 = 4417.609, dw = -0.05765, nw = 1651 140605.0023.ec.fits: ap = 76, w1 = 4477.482, w2 = 4383.107, dw = -0.0572, nw = 1651 140605.0023.ec.fits: ap = 77, w1 = 4442.781, w2 = 4349.139, dw = -0.05675, nw = 1651 140605.0023.ec.fits: ap = 78, w1 = 4408.615, w2 = 4315.695, dw = -0.05632, nw = 1651 140605.0023.ec.fits: ap = 79, w1 = 4374.97, w2 = 4282.76, dw = -0.05588, nw = 1651 140605.0023.ec.fits: ap = 80, w1 = 4341.835, w2 = 4250.325, dw = -0.05546, nw = 1651 140605.0023.ec.fits: ap = 81, w1 = 4309.199, w2 = 4218.378, dw = -0.05504, nw = 1651 140605.0023.ec.fits: ap = 82, w1 = 4277.05, w2 = 4186.907, dw = -0.05463, nw = 1651 140605.0023.ec.fits: ap = 83, w1 = 4245.377, w2 = 4155.903, dw = -0.05423, nw = 1651 140605.0023.ec.fits: ap = 84, w1 = 4214.17, w2 = 4125.354, dw = -0.05383, nw = 1651 140605.0023.ec.fits: ap = 85, w1 = 4183.419, w2 = 4095.252, dw = -0.05343, nw = 1651 140605.0023.ec.fits: ap = 86, w1 = 4153.113, w2 = 4065.586, dw = -0.05305, nw = 1651 140605.0023.ec.fits: ap = 87, w1 = 4123.244, w2 = 4036.347, dw = -0.05267, nw = 1651 140605.0023.ec.fits: ap = 88, w1 = 4093.801, w2 = 4007.525, dw = -0.05229, nw = 1651 140605.0023.ec.fits: ap = 89, w1 = 4064.776, w2 = 3979.112, dw = -0.05192, nw = 1651 140605.0023.ec.fits: ap = 90, w1 = 4036.16, w2 = 3951.1, dw = -0.05155, nw = 1651 140605.0023.ec.fits: ap = 91, w1 = 4007.945, w2 = 3923.479, dw = -0.05119, nw = 1651 140605.0023.ec.fits: ap = 92, w1 = 3980.121, w2 = 3896.241, dw = -0.05084, nw = 1651 140605.0023.ec.fits: ap = 93, w1 = 3952.681, w2 = 3869.38, dw = -0.05049, nw = 1651 140605.0023.ec.fits: ap = 94, w1 = 3925.618, w2 = 3842.886, dw = -0.05014, nw = 1651 140605.0023.ec.fits: ap = 95, w1 = 3898.922, w2 = 3816.753, dw = -0.0498, nw = 1651 140605.0023.ec.fits: ap = 96, w1 = 3872.587, w2 = 3790.973, dw = -0.04946, nw = 1651 140605.0023.ec.fits: ap = 97, w1 = 3846.606, w2 = 3765.539, dw = -0.04913, nw = 1651 140605.0023.ec.fits: ap = 98, w1 = 3820.972, w2 = 3740.444, dw = -0.0488, nw = 1651 140605.0023.ec.fits: ap = 99, w1 = 3795.677, w2 = 3715.681, dw = -0.04848, nw = 1651 140605.0023.ec.fits: ap = 100, w1 = 3770.715, w2 = 3691.244, dw = -0.04816, nw = 1651 140605.0023.ec.fits: ap = 101, w1 = 3746.079, w2 = 3667.126, dw = -0.04785, nw = 1651 140605.0023.ec.fits: ap = 102, w1 = 3721.763, w2 = 3643.321, dw = -0.04754, nw = 1651 140605.0023.ec.fits: ap = 103, w1 = 3697.761, w2 = 3619.824, dw = -0.04723, nw = 1651 140605.0023.ec.fits: ap = 104, w1 = 3674.067, w2 = 3596.628, dw = -0.04693, nw = 1651 140605.0023.ec.fits: ap = 105, w1 = 3650.675, w2 = 3573.727, dw = -0.04664, nw = 1651 140605.0023.ec.fits: ap = 106, w1 = 3627.579, w2 = 3551.116, dw = -0.04634, nw = 1651 140605.0023.ec.fits: ap = 107, w1 = 3604.774, w2 = 3528.789, dw = -0.04605, nw = 1651 140605.0023.ec.fits: ap = 108, w1 = 3582.254, w2 = 3506.741, dw = -0.04577, nw = 1651 140605.0023.ec.fits: ap = 109, w1 = 3560.013, w2 = 3484.967, dw = -0.04548, nw = 1651 140605.0023.ec.fits: ap = 110, w1 = 3538.047, w2 = 3463.461, dw = -0.0452, nw = 1651 140605.0023.ec.fits: ap = 111, w1 = 3516.351, w2 = 3442.219, dw = -0.04493, nw = 1651 140605.0023.ec.fits: ap = 112, w1 = 3494.92, w2 = 3421.237, dw = -0.04466, nw = 1651 140605.0023.ec.fits: ap = 113, w1 = 3473.748, w2 = 3400.508, dw = -0.04439, nw = 1651 140605.0023.ec.fits: ap = 114, w1 = 3452.831, w2 = 3380.029, dw = -0.04412, nw = 1651 140605.0023.ec.fits: ap = 115, w1 = 3432.165, w2 = 3359.795, dw = -0.04386, nw = 1651 140605.0024.ec.fits: REFSPEC1 = 'EchelleThAr.0021.ec 0.16229405' 140605.0024.ec.fits: REFSPEC2 = 'EchelleThAr.0025.ec 0.83770597' 140605.0024.ec.fits: ap = 1, w1 = 10812.32, w2 = 10584.16, dw = -0.13828, nw = 1651 140605.0024.ec.fits: ap = 2, w1 = 10612.11, w2 = 10388.17, dw = -0.13572, nw = 1651 140605.0024.ec.fits: ap = 3, w1 = 10419.18, w2 = 10199.32, dw = -0.13325, nw = 1651 140605.0024.ec.fits: ap = 4, w1 = 10233.14, w2 = 10017.2, dw = -0.13087, nw = 1651 140605.0024.ec.fits: ap = 5, w1 = 10053.63, w2 = 9841.482, dw = -0.12857, nw = 1651 140605.0024.ec.fits: ap = 6, w1 = 9880.305, w2 = 9671.818, dw = -0.12636, nw = 1651 140605.0024.ec.fits: ap = 7, w1 = 9712.858, w2 = 9507.905, dw = -0.12421, nw = 1651 140605.0024.ec.fits: ap = 8, w1 = 9550.992, w2 = 9349.456, dw = -0.12214, nw = 1651 140605.0024.ec.fits: ap = 9, w1 = 9394.433, w2 = 9196.202, dw = -0.12014, nw = 1651 140605.0024.ec.fits: ap = 10, w1 = 9242.924, w2 = 9047.892, dw = -0.1182, nw = 1651 140605.0024.ec.fits: ap = 11, w1 = 9096.224, w2 = 8904.289, dw = -0.11632, nw = 1651 140605.0024.ec.fits: ap = 12, w1 = 8954.109, w2 = 8765.174, dw = -0.11451, nw = 1651 140605.0024.ec.fits: ap = 13, w1 = 8816.366, w2 = 8630.339, dw = -0.11274, nw = 1651 140605.0024.ec.fits: ap = 14, w1 = 8682.797, w2 = 8499.59, dw = -0.11103, nw = 1651 140605.0024.ec.fits: ap = 15, w1 = 8553.215, w2 = 8372.744, dw = -0.10938, nw = 1651 140605.0024.ec.fits: ap = 16, w1 = 8427.444, w2 = 8249.629, dw = -0.10777, nw = 1651 140605.0024.ec.fits: ap = 17, w1 = 8305.318, w2 = 8130.082, dw = -0.1062, nw = 1651 140605.0024.ec.fits: ap = 18, w1 = 8186.682, w2 = 8013.951, dw = -0.10469, nw = 1651 140605.0024.ec.fits: ap = 19, w1 = 8071.387, w2 = 7901.09, dw = -0.10321, nw = 1651 140605.0024.ec.fits: ap = 20, w1 = 7959.295, w2 = 7791.365, dw = -0.10178, nw = 1651 140605.0024.ec.fits: ap = 21, w1 = 7850.274, w2 = 7684.646, dw = -0.10038, nw = 1651 140605.0024.ec.fits: ap = 22, w1 = 7744.199, w2 = 7580.811, dw = -0.09902, nw = 1651 140605.0024.ec.fits: ap = 23, w1 = 7640.953, w2 = 7479.746, dw = -0.0977, nw = 1651 140605.0024.ec.fits: ap = 24, w1 = 7540.424, w2 = 7381.339, dw = -0.09641, nw = 1651 140605.0024.ec.fits: ap = 25, w1 = 7442.505, w2 = 7285.489, dw = -0.09516, nw = 1651 140605.0024.ec.fits: ap = 26, w1 = 7347.098, w2 = 7192.097, dw = -0.09394, nw = 1651 140605.0024.ec.fits: ap = 27, w1 = 7254.106, w2 = 7101.069, dw = -0.09275, nw = 1651 140605.0024.ec.fits: ap = 28, w1 = 7163.438, w2 = 7012.316, dw = -0.09159, nw = 1651 140605.0024.ec.fits: ap = 29, w1 = 7075.01, w2 = 6925.755, dw = -0.09046, nw = 1651 140605.0024.ec.fits: ap = 30, w1 = 6988.738, w2 = 6841.306, dw = -0.08935, nw = 1651 140605.0024.ec.fits: ap = 31, w1 = 6904.545, w2 = 6758.891, dw = -0.08828, nw = 1651 140605.0024.ec.fits: ap = 32, w1 = 6822.356, w2 = 6678.439, dw = -0.08722, nw = 1651 140605.0024.ec.fits: ap = 33, w1 = 6742.102, w2 = 6599.879, dw = -0.0862, nw = 1651 140605.0024.ec.fits: ap = 34, w1 = 6663.714, w2 = 6523.147, dw = -0.08519, nw = 1651 140605.0024.ec.fits: ap = 35, w1 = 6587.127, w2 = 6448.179, dw = -0.08421, nw = 1651 140605.0024.ec.fits: ap = 36, w1 = 6512.282, w2 = 6374.915, dw = -0.08325, nw = 1651 140605.0024.ec.fits: ap = 37, w1 = 6439.118, w2 = 6303.297, dw = -0.08232, nw = 1651 140605.0024.ec.fits: ap = 38, w1 = 6367.581, w2 = 6233.27, dw = -0.0814, nw = 1651 140605.0024.ec.fits: ap = 39, w1 = 6297.615, w2 = 6164.783, dw = -0.0805, nw = 1651 140605.0024.ec.fits: ap = 40, w1 = 6229.171, w2 = 6097.785, dw = -0.07963, nw = 1651 140605.0024.ec.fits: ap = 41, w1 = 6162.199, w2 = 6032.228, dw = -0.07877, nw = 1651 140605.0024.ec.fits: ap = 42, w1 = 6096.652, w2 = 5968.065, dw = -0.07793, nw = 1651 140605.0024.ec.fits: ap = 43, w1 = 6032.484, w2 = 5905.254, dw = -0.07711, nw = 1651 140605.0024.ec.fits: ap = 44, w1 = 5969.654, w2 = 5843.751, dw = -0.0763, nw = 1651 140605.0024.ec.fits: ap = 45, w1 = 5908.119, w2 = 5783.516, dw = -0.07552, nw = 1651 140605.0024.ec.fits: ap = 46, w1 = 5847.84, w2 = 5724.511, dw = -0.07474, nw = 1651 140605.0024.ec.fits: ap = 47, w1 = 5788.779, w2 = 5666.698, dw = -0.07399, nw = 1651 140605.0024.ec.fits: ap = 48, w1 = 5730.899, w2 = 5610.041, dw = -0.07325, nw = 1651 140605.0024.ec.fits: ap = 49, w1 = 5674.165, w2 = 5554.506, dw = -0.07252, nw = 1651 140605.0024.ec.fits: ap = 50, w1 = 5618.544, w2 = 5500.06, dw = -0.07181, nw = 1651 140605.0024.ec.fits: ap = 51, w1 = 5564.003, w2 = 5446.672, dw = -0.07111, nw = 1651 140605.0024.ec.fits: ap = 52, w1 = 5510.511, w2 = 5394.31, dw = -0.07042, nw = 1651 140605.0024.ec.fits: ap = 53, w1 = 5458.038, w2 = 5342.946, dw = -0.06975, nw = 1651 140605.0024.ec.fits: ap = 54, w1 = 5406.555, w2 = 5292.551, dw = -0.06909, nw = 1651 140605.0024.ec.fits: ap = 55, w1 = 5356.035, w2 = 5243.098, dw = -0.06845, nw = 1651 140605.0024.ec.fits: ap = 56, w1 = 5306.45, w2 = 5194.561, dw = -0.06781, nw = 1651 140605.0024.ec.fits: ap = 57, w1 = 5257.775, w2 = 5146.915, dw = -0.06719, nw = 1651 140605.0024.ec.fits: ap = 58, w1 = 5209.985, w2 = 5100.135, dw = -0.06658, nw = 1651 140605.0024.ec.fits: ap = 59, w1 = 5163.056, w2 = 5054.198, dw = -0.06597, nw = 1651 140605.0024.ec.fits: ap = 60, w1 = 5116.966, w2 = 5009.081, dw = -0.06538, nw = 1651 140605.0024.ec.fits: ap = 61, w1 = 5071.691, w2 = 4964.763, dw = -0.0648, nw = 1651 140605.0024.ec.fits: ap = 62, w1 = 5027.21, w2 = 4921.223, dw = -0.06423, nw = 1651 140605.0024.ec.fits: ap = 63, w1 = 4983.504, w2 = 4878.44, dw = -0.06368, nw = 1651 140605.0024.ec.fits: ap = 64, w1 = 4940.551, w2 = 4836.394, dw = -0.06313, nw = 1651 140605.0024.ec.fits: ap = 65, w1 = 4898.332, w2 = 4795.068, dw = -0.06258, nw = 1651 140605.0024.ec.fits: ap = 66, w1 = 4856.829, w2 = 4754.442, dw = -0.06205, nw = 1651 140605.0024.ec.fits: ap = 67, w1 = 4816.023, w2 = 4714.499, dw = -0.06153, nw = 1651 140605.0024.ec.fits: ap = 68, w1 = 4775.898, w2 = 4675.221, dw = -0.06102, nw = 1651 140605.0024.ec.fits: ap = 69, w1 = 4736.436, w2 = 4636.593, dw = -0.06051, nw = 1651 140605.0024.ec.fits: ap = 70, w1 = 4697.621, w2 = 4598.598, dw = -0.06001, nw = 1651 140605.0024.ec.fits: ap = 71, w1 = 4659.437, w2 = 4561.222, dw = -0.05952, nw = 1651 140605.0024.ec.fits: ap = 72, w1 = 4621.87, w2 = 4524.448, dw = -0.05904, nw = 1651 140605.0024.ec.fits: ap = 73, w1 = 4584.903, w2 = 4488.262, dw = -0.05857, nw = 1651 140605.0024.ec.fits: ap = 74, w1 = 4548.523, w2 = 4452.651, dw = -0.0581, nw = 1651 140605.0024.ec.fits: ap = 75, w1 = 4512.716, w2 = 4417.601, dw = -0.05765, nw = 1651 140605.0024.ec.fits: ap = 76, w1 = 4477.469, w2 = 4383.098, dw = -0.05719, nw = 1651 140605.0024.ec.fits: ap = 77, w1 = 4442.769, w2 = 4349.131, dw = -0.05675, nw = 1651 140605.0024.ec.fits: ap = 78, w1 = 4408.602, w2 = 4315.686, dw = -0.05631, nw = 1651 140605.0024.ec.fits: ap = 79, w1 = 4374.957, w2 = 4282.751, dw = -0.05588, nw = 1651 140605.0024.ec.fits: ap = 80, w1 = 4341.822, w2 = 4250.316, dw = -0.05546, nw = 1651 140605.0024.ec.fits: ap = 81, w1 = 4309.185, w2 = 4218.369, dw = -0.05504, nw = 1651 140605.0024.ec.fits: ap = 82, w1 = 4277.035, w2 = 4186.898, dw = -0.05463, nw = 1651 140605.0024.ec.fits: ap = 83, w1 = 4245.362, w2 = 4155.893, dw = -0.05422, nw = 1651 140605.0024.ec.fits: ap = 84, w1 = 4214.154, w2 = 4125.345, dw = -0.05382, nw = 1651 140605.0024.ec.fits: ap = 85, w1 = 4183.402, w2 = 4095.243, dw = -0.05343, nw = 1651 140605.0024.ec.fits: ap = 86, w1 = 4153.096, w2 = 4065.576, dw = -0.05304, nw = 1651 140605.0024.ec.fits: ap = 87, w1 = 4123.226, w2 = 4036.337, dw = -0.05266, nw = 1651 140605.0024.ec.fits: ap = 88, w1 = 4093.783, w2 = 4007.515, dw = -0.05228, nw = 1651 140605.0024.ec.fits: ap = 89, w1 = 4064.757, w2 = 3979.103, dw = -0.05191, nw = 1651 140605.0024.ec.fits: ap = 90, w1 = 4036.14, w2 = 3951.09, dw = -0.05155, nw = 1651 140605.0024.ec.fits: ap = 91, w1 = 4007.924, w2 = 3923.469, dw = -0.05118, nw = 1651 140605.0024.ec.fits: ap = 92, w1 = 3980.099, w2 = 3896.232, dw = -0.05083, nw = 1651 140605.0024.ec.fits: ap = 93, w1 = 3952.658, w2 = 3869.37, dw = -0.05048, nw = 1651 140605.0024.ec.fits: ap = 94, w1 = 3925.594, w2 = 3842.876, dw = -0.05013, nw = 1651 140605.0024.ec.fits: ap = 95, w1 = 3898.897, w2 = 3816.743, dw = -0.04979, nw = 1651 140605.0024.ec.fits: ap = 96, w1 = 3872.561, w2 = 3790.963, dw = -0.04945, nw = 1651 140605.0024.ec.fits: ap = 97, w1 = 3846.579, w2 = 3765.529, dw = -0.04912, nw = 1651 140605.0024.ec.fits: ap = 98, w1 = 3820.943, w2 = 3740.434, dw = -0.04879, nw = 1651 140605.0024.ec.fits: ap = 99, w1 = 3795.647, w2 = 3715.671, dw = -0.04847, nw = 1651 140605.0024.ec.fits: ap = 100, w1 = 3770.683, w2 = 3691.234, dw = -0.04815, nw = 1651 140605.0024.ec.fits: ap = 101, w1 = 3746.046, w2 = 3667.116, dw = -0.04784, nw = 1651 140605.0024.ec.fits: ap = 102, w1 = 3721.729, w2 = 3643.312, dw = -0.04753, nw = 1651 140605.0024.ec.fits: ap = 103, w1 = 3697.725, w2 = 3619.814, dw = -0.04722, nw = 1651 140605.0024.ec.fits: ap = 104, w1 = 3674.029, w2 = 3596.618, dw = -0.04692, nw = 1651 140605.0024.ec.fits: ap = 105, w1 = 3650.636, w2 = 3573.717, dw = -0.04662, nw = 1651 140605.0024.ec.fits: ap = 106, w1 = 3627.538, w2 = 3551.106, dw = -0.04632, nw = 1651 140605.0024.ec.fits: ap = 107, w1 = 3604.73, w2 = 3528.779, dw = -0.04603, nw = 1651 140605.0024.ec.fits: ap = 108, w1 = 3582.208, w2 = 3506.731, dw = -0.04574, nw = 1651 140605.0024.ec.fits: ap = 109, w1 = 3559.966, w2 = 3484.957, dw = -0.04546, nw = 1651 140605.0024.ec.fits: ap = 110, w1 = 3537.998, w2 = 3463.452, dw = -0.04518, nw = 1651 140605.0024.ec.fits: ap = 111, w1 = 3516.299, w2 = 3442.21, dw = -0.0449, nw = 1651 140605.0024.ec.fits: ap = 112, w1 = 3494.865, w2 = 3421.228, dw = -0.04463, nw = 1651 140605.0024.ec.fits: ap = 113, w1 = 3473.691, w2 = 3400.499, dw = -0.04436, nw = 1651 140605.0024.ec.fits: ap = 114, w1 = 3452.772, w2 = 3380.02, dw = -0.04409, nw = 1651 140605.0024.ec.fits: ap = 115, w1 = 3432.103, w2 = 3359.786, dw = -0.04383, nw = 1651 140605.0026.ec.fits: REFSPEC1 = 'EchelleThAr.0025.ec 0.83095866' 140605.0026.ec.fits: REFSPEC2 = 'EchelleThAr.0029.ec 0.16904132' 140605.0026.ec.fits: ap = 1, w1 = 10812.3, w2 = 10584.15, dw = -0.13827, nw = 1651 140605.0026.ec.fits: ap = 2, w1 = 10612.09, w2 = 10388.16, dw = -0.13571, nw = 1651 140605.0026.ec.fits: ap = 3, w1 = 10419.16, w2 = 10199.31, dw = -0.13325, nw = 1651 140605.0026.ec.fits: ap = 4, w1 = 10233.12, w2 = 10017.19, dw = -0.13087, nw = 1651 140605.0026.ec.fits: ap = 5, w1 = 10053.61, w2 = 9841.47, dw = -0.12857, nw = 1651 140605.0026.ec.fits: ap = 6, w1 = 9880.291, w2 = 9671.806, dw = -0.12635, nw = 1651 140605.0026.ec.fits: ap = 7, w1 = 9712.844, w2 = 9507.894, dw = -0.12421, nw = 1651 140605.0026.ec.fits: ap = 8, w1 = 9550.979, w2 = 9349.445, dw = -0.12214, nw = 1651 140605.0026.ec.fits: ap = 9, w1 = 9394.421, w2 = 9196.191, dw = -0.12014, nw = 1651 140605.0026.ec.fits: ap = 10, w1 = 9242.912, w2 = 9047.88, dw = -0.1182, nw = 1651 140605.0026.ec.fits: ap = 11, w1 = 9096.213, w2 = 8904.278, dw = -0.11632, nw = 1651 140605.0026.ec.fits: ap = 12, w1 = 8954.098, w2 = 8765.163, dw = -0.11451, nw = 1651 140605.0026.ec.fits: ap = 13, w1 = 8816.356, w2 = 8630.329, dw = -0.11274, nw = 1651 140605.0026.ec.fits: ap = 14, w1 = 8682.787, w2 = 8499.58, dw = -0.11103, nw = 1651 140605.0026.ec.fits: ap = 15, w1 = 8553.205, w2 = 8372.733, dw = -0.10938, nw = 1651 140605.0026.ec.fits: ap = 16, w1 = 8427.434, w2 = 8249.618, dw = -0.10777, nw = 1651 140605.0026.ec.fits: ap = 17, w1 = 8305.309, w2 = 8130.071, dw = -0.1062, nw = 1651 140605.0026.ec.fits: ap = 18, w1 = 8186.672, w2 = 8013.94, dw = -0.10469, nw = 1651 140605.0026.ec.fits: ap = 19, w1 = 8071.378, w2 = 7901.08, dw = -0.10321, nw = 1651 140605.0026.ec.fits: ap = 20, w1 = 7959.286, w2 = 7791.355, dw = -0.10178, nw = 1651 140605.0026.ec.fits: ap = 21, w1 = 7850.265, w2 = 7684.636, dw = -0.10038, nw = 1651 140605.0026.ec.fits: ap = 22, w1 = 7744.19, w2 = 7580.801, dw = -0.09902, nw = 1651 140605.0026.ec.fits: ap = 23, w1 = 7640.944, w2 = 7479.735, dw = -0.0977, nw = 1651 140605.0026.ec.fits: ap = 24, w1 = 7540.415, w2 = 7381.329, dw = -0.09642, nw = 1651 140605.0026.ec.fits: ap = 25, w1 = 7442.497, w2 = 7285.479, dw = -0.09516, nw = 1651 140605.0026.ec.fits: ap = 26, w1 = 7347.089, w2 = 7192.087, dw = -0.09394, nw = 1651 140605.0026.ec.fits: ap = 27, w1 = 7254.097, w2 = 7101.059, dw = -0.09275, nw = 1651 140605.0026.ec.fits: ap = 28, w1 = 7163.43, w2 = 7012.307, dw = -0.09159, nw = 1651 140605.0026.ec.fits: ap = 29, w1 = 7075.001, w2 = 6925.746, dw = -0.09046, nw = 1651 140605.0026.ec.fits: ap = 30, w1 = 6988.729, w2 = 6841.297, dw = -0.08935, nw = 1651 140605.0026.ec.fits: ap = 31, w1 = 6904.536, w2 = 6758.882, dw = -0.08828, nw = 1651 140605.0026.ec.fits: ap = 32, w1 = 6822.348, w2 = 6678.43, dw = -0.08722, nw = 1651 140605.0026.ec.fits: ap = 33, w1 = 6742.094, w2 = 6599.871, dw = -0.0862, nw = 1651 140605.0026.ec.fits: ap = 34, w1 = 6663.706, w2 = 6523.139, dw = -0.08519, nw = 1651 140605.0026.ec.fits: ap = 35, w1 = 6587.119, w2 = 6448.171, dw = -0.08421, nw = 1651 140605.0026.ec.fits: ap = 36, w1 = 6512.274, w2 = 6374.907, dw = -0.08325, nw = 1651 140605.0026.ec.fits: ap = 37, w1 = 6439.111, w2 = 6303.289, dw = -0.08232, nw = 1651 140605.0026.ec.fits: ap = 38, w1 = 6367.573, w2 = 6233.263, dw = -0.0814, nw = 1651 140605.0026.ec.fits: ap = 39, w1 = 6297.608, w2 = 6164.776, dw = -0.0805, nw = 1651 140605.0026.ec.fits: ap = 40, w1 = 6229.164, w2 = 6097.778, dw = -0.07963, nw = 1651 140605.0026.ec.fits: ap = 41, w1 = 6162.191, w2 = 6032.221, dw = -0.07877, nw = 1651 140605.0026.ec.fits: ap = 42, w1 = 6096.644, w2 = 5968.058, dw = -0.07793, nw = 1651 140605.0026.ec.fits: ap = 43, w1 = 6032.477, w2 = 5905.247, dw = -0.07711, nw = 1651 140605.0026.ec.fits: ap = 44, w1 = 5969.646, w2 = 5843.744, dw = -0.0763, nw = 1651 140605.0026.ec.fits: ap = 45, w1 = 5908.112, w2 = 5783.509, dw = -0.07552, nw = 1651 140605.0026.ec.fits: ap = 46, w1 = 5847.833, w2 = 5724.504, dw = -0.07474, nw = 1651 140605.0026.ec.fits: ap = 47, w1 = 5788.772, w2 = 5666.691, dw = -0.07399, nw = 1651 140605.0026.ec.fits: ap = 48, w1 = 5730.892, w2 = 5610.034, dw = -0.07325, nw = 1651 140605.0026.ec.fits: ap = 49, w1 = 5674.158, w2 = 5554.499, dw = -0.07252, nw = 1651 140605.0026.ec.fits: ap = 50, w1 = 5618.537, w2 = 5500.054, dw = -0.07181, nw = 1651 140605.0026.ec.fits: ap = 51, w1 = 5563.996, w2 = 5446.665, dw = -0.07111, nw = 1651 140605.0026.ec.fits: ap = 52, w1 = 5510.504, w2 = 5394.303, dw = -0.07042, nw = 1651 140605.0026.ec.fits: ap = 53, w1 = 5458.031, w2 = 5342.939, dw = -0.06975, nw = 1651 140605.0026.ec.fits: ap = 54, w1 = 5406.548, w2 = 5292.544, dw = -0.06909, nw = 1651 140605.0026.ec.fits: ap = 55, w1 = 5356.027, w2 = 5243.091, dw = -0.06845, nw = 1651 140605.0026.ec.fits: ap = 56, w1 = 5306.443, w2 = 5194.554, dw = -0.06781, nw = 1651 140605.0026.ec.fits: ap = 57, w1 = 5257.768, w2 = 5146.908, dw = -0.06719, nw = 1651 140605.0026.ec.fits: ap = 58, w1 = 5209.978, w2 = 5100.127, dw = -0.06658, nw = 1651 140605.0026.ec.fits: ap = 59, w1 = 5163.049, w2 = 5054.19, dw = -0.06597, nw = 1651 140605.0026.ec.fits: ap = 60, w1 = 5116.958, w2 = 5009.074, dw = -0.06538, nw = 1651 140605.0026.ec.fits: ap = 61, w1 = 5071.684, w2 = 4964.756, dw = -0.0648, nw = 1651 140605.0026.ec.fits: ap = 62, w1 = 5027.203, w2 = 4921.215, dw = -0.06424, nw = 1651 140605.0026.ec.fits: ap = 63, w1 = 4983.496, w2 = 4878.432, dw = -0.06368, nw = 1651 140605.0026.ec.fits: ap = 64, w1 = 4940.543, w2 = 4836.386, dw = -0.06313, nw = 1651 140605.0026.ec.fits: ap = 65, w1 = 4898.325, w2 = 4795.06, dw = -0.06258, nw = 1651 140605.0026.ec.fits: ap = 66, w1 = 4856.822, w2 = 4754.434, dw = -0.06205, nw = 1651 140605.0026.ec.fits: ap = 67, w1 = 4816.016, w2 = 4714.49, dw = -0.06153, nw = 1651 140605.0026.ec.fits: ap = 68, w1 = 4775.891, w2 = 4675.213, dw = -0.06102, nw = 1651 140605.0026.ec.fits: ap = 69, w1 = 4736.429, w2 = 4636.585, dw = -0.06051, nw = 1651 140605.0026.ec.fits: ap = 70, w1 = 4697.614, w2 = 4598.59, dw = -0.06001, nw = 1651 140605.0026.ec.fits: ap = 71, w1 = 4659.43, w2 = 4561.213, dw = -0.05953, nw = 1651 140605.0026.ec.fits: ap = 72, w1 = 4621.862, w2 = 4524.439, dw = -0.05904, nw = 1651 140605.0026.ec.fits: ap = 73, w1 = 4584.895, w2 = 4488.253, dw = -0.05857, nw = 1651 140605.0026.ec.fits: ap = 74, w1 = 4548.516, w2 = 4452.642, dw = -0.05811, nw = 1651 140605.0026.ec.fits: ap = 75, w1 = 4512.709, w2 = 4417.592, dw = -0.05765, nw = 1651 140605.0026.ec.fits: ap = 76, w1 = 4477.461, w2 = 4383.089, dw = -0.0572, nw = 1651 140605.0026.ec.fits: ap = 77, w1 = 4442.761, w2 = 4349.121, dw = -0.05675, nw = 1651 140605.0026.ec.fits: ap = 78, w1 = 4408.594, w2 = 4315.677, dw = -0.05631, nw = 1651 140605.0026.ec.fits: ap = 79, w1 = 4374.949, w2 = 4282.742, dw = -0.05588, nw = 1651 140605.0026.ec.fits: ap = 80, w1 = 4341.813, w2 = 4250.307, dw = -0.05546, nw = 1651 140605.0026.ec.fits: ap = 81, w1 = 4309.176, w2 = 4218.359, dw = -0.05504, nw = 1651 140605.0026.ec.fits: ap = 82, w1 = 4277.026, w2 = 4186.889, dw = -0.05463, nw = 1651 140605.0026.ec.fits: ap = 83, w1 = 4245.353, w2 = 4155.885, dw = -0.05422, nw = 1651 140605.0026.ec.fits: ap = 84, w1 = 4214.145, w2 = 4125.336, dw = -0.05382, nw = 1651 140605.0026.ec.fits: ap = 85, w1 = 4183.393, w2 = 4095.234, dw = -0.05343, nw = 1651 140605.0026.ec.fits: ap = 86, w1 = 4153.087, w2 = 4065.568, dw = -0.05304, nw = 1651 140605.0026.ec.fits: ap = 87, w1 = 4123.217, w2 = 4036.329, dw = -0.05266, nw = 1651 140605.0026.ec.fits: ap = 88, w1 = 4093.773, w2 = 4007.507, dw = -0.05228, nw = 1651 140605.0026.ec.fits: ap = 89, w1 = 4064.748, w2 = 3979.095, dw = -0.05191, nw = 1651 140605.0026.ec.fits: ap = 90, w1 = 4036.131, w2 = 3951.082, dw = -0.05154, nw = 1651 140605.0026.ec.fits: ap = 91, w1 = 4007.914, w2 = 3923.462, dw = -0.05118, nw = 1651 140605.0026.ec.fits: ap = 92, w1 = 3980.088, w2 = 3896.224, dw = -0.05083, nw = 1651 140605.0026.ec.fits: ap = 93, w1 = 3952.647, w2 = 3869.362, dw = -0.05048, nw = 1651 140605.0026.ec.fits: ap = 94, w1 = 3925.582, w2 = 3842.869, dw = -0.05013, nw = 1651 140605.0026.ec.fits: ap = 95, w1 = 3898.885, w2 = 3816.736, dw = -0.04979, nw = 1651 140605.0026.ec.fits: ap = 96, w1 = 3872.548, w2 = 3790.956, dw = -0.04945, nw = 1651 140605.0026.ec.fits: ap = 97, w1 = 3846.566, w2 = 3765.522, dw = -0.04912, nw = 1651 140605.0026.ec.fits: ap = 98, w1 = 3820.929, w2 = 3740.427, dw = -0.04879, nw = 1651 140605.0026.ec.fits: ap = 99, w1 = 3795.632, w2 = 3715.665, dw = -0.04847, nw = 1651 140605.0026.ec.fits: ap = 100, w1 = 3770.668, w2 = 3691.228, dw = -0.04815, nw = 1651 140605.0026.ec.fits: ap = 101, w1 = 3746.031, w2 = 3667.111, dw = -0.04783, nw = 1651 140605.0026.ec.fits: ap = 102, w1 = 3721.713, w2 = 3643.307, dw = -0.04752, nw = 1651 140605.0026.ec.fits: ap = 103, w1 = 3697.709, w2 = 3619.81, dw = -0.04721, nw = 1651 140605.0026.ec.fits: ap = 104, w1 = 3674.012, w2 = 3596.614, dw = -0.04691, nw = 1651 140605.0026.ec.fits: ap = 105, w1 = 3650.618, w2 = 3573.713, dw = -0.04661, nw = 1651 140605.0026.ec.fits: ap = 106, w1 = 3627.519, w2 = 3551.103, dw = -0.04631, nw = 1651 140605.0026.ec.fits: ap = 107, w1 = 3604.711, w2 = 3528.776, dw = -0.04602, nw = 1651 140605.0026.ec.fits: ap = 108, w1 = 3582.188, w2 = 3506.729, dw = -0.04573, nw = 1651 140605.0026.ec.fits: ap = 109, w1 = 3559.944, w2 = 3484.956, dw = -0.04545, nw = 1651 140605.0026.ec.fits: ap = 110, w1 = 3537.976, w2 = 3463.451, dw = -0.04517, nw = 1651 140605.0026.ec.fits: ap = 111, w1 = 3516.276, w2 = 3442.21, dw = -0.04489, nw = 1651 140605.0026.ec.fits: ap = 112, w1 = 3494.841, w2 = 3421.228, dw = -0.04461, nw = 1651 140605.0026.ec.fits: ap = 113, w1 = 3473.666, w2 = 3400.5, dw = -0.04434, nw = 1651 140605.0026.ec.fits: ap = 114, w1 = 3452.746, w2 = 3380.022, dw = -0.04407, nw = 1651 140605.0026.ec.fits: ap = 115, w1 = 3432.076, w2 = 3359.789, dw = -0.04381, nw = 1651 140605.0027.ec.fits: REFSPEC1 = 'EchelleThAr.0025.ec 0.52260143' 140605.0027.ec.fits: REFSPEC2 = 'EchelleThAr.0029.ec 0.47739854' 140605.0027.ec.fits: ap = 1, w1 = 10812.29, w2 = 10584.14, dw = -0.13827, nw = 1651 140605.0027.ec.fits: ap = 2, w1 = 10612.08, w2 = 10388.16, dw = -0.13571, nw = 1651 140605.0027.ec.fits: ap = 3, w1 = 10419.15, w2 = 10199.3, dw = -0.13324, nw = 1651 140605.0027.ec.fits: ap = 4, w1 = 10233.12, w2 = 10017.19, dw = -0.13087, nw = 1651 140605.0027.ec.fits: ap = 5, w1 = 10053.6, w2 = 9841.463, dw = -0.12857, nw = 1651 140605.0027.ec.fits: ap = 6, w1 = 9880.283, w2 = 9671.799, dw = -0.12635, nw = 1651 140605.0027.ec.fits: ap = 7, w1 = 9712.837, w2 = 9507.886, dw = -0.12421, nw = 1651 140605.0027.ec.fits: ap = 8, w1 = 9550.971, w2 = 9349.437, dw = -0.12214, nw = 1651 140605.0027.ec.fits: ap = 9, w1 = 9394.413, w2 = 9196.183, dw = -0.12014, nw = 1651 140605.0027.ec.fits: ap = 10, w1 = 9242.904, w2 = 9047.872, dw = -0.1182, nw = 1651 140605.0027.ec.fits: ap = 11, w1 = 9096.205, w2 = 8904.269, dw = -0.11632, nw = 1651 140605.0027.ec.fits: ap = 12, w1 = 8954.091, w2 = 8765.154, dw = -0.11451, nw = 1651 140605.0027.ec.fits: ap = 13, w1 = 8816.349, w2 = 8630.32, dw = -0.11274, nw = 1651 140605.0027.ec.fits: ap = 14, w1 = 8682.78, w2 = 8499.571, dw = -0.11104, nw = 1651 140605.0027.ec.fits: ap = 15, w1 = 8553.198, w2 = 8372.725, dw = -0.10938, nw = 1651 140605.0027.ec.fits: ap = 16, w1 = 8427.427, w2 = 8249.61, dw = -0.10777, nw = 1651 140605.0027.ec.fits: ap = 17, w1 = 8305.302, w2 = 8130.063, dw = -0.10621, nw = 1651 140605.0027.ec.fits: ap = 18, w1 = 8186.666, w2 = 8013.932, dw = -0.10469, nw = 1651 140605.0027.ec.fits: ap = 19, w1 = 8071.371, w2 = 7901.072, dw = -0.10321, nw = 1651 140605.0027.ec.fits: ap = 20, w1 = 7959.28, w2 = 7791.347, dw = -0.10178, nw = 1651 140605.0027.ec.fits: ap = 21, w1 = 7850.259, w2 = 7684.629, dw = -0.10038, nw = 1651 140605.0027.ec.fits: ap = 22, w1 = 7744.184, w2 = 7580.794, dw = -0.09902, nw = 1651 140605.0027.ec.fits: ap = 23, w1 = 7640.938, w2 = 7479.729, dw = -0.0977, nw = 1651 140605.0027.ec.fits: ap = 24, w1 = 7540.409, w2 = 7381.323, dw = -0.09642, nw = 1651 140605.0027.ec.fits: ap = 25, w1 = 7442.491, w2 = 7285.473, dw = -0.09516, nw = 1651 140605.0027.ec.fits: ap = 26, w1 = 7347.084, w2 = 7192.081, dw = -0.09394, nw = 1651 140605.0027.ec.fits: ap = 27, w1 = 7254.092, w2 = 7101.053, dw = -0.09275, nw = 1651 140605.0027.ec.fits: ap = 28, w1 = 7163.425, w2 = 7012.301, dw = -0.09159, nw = 1651 140605.0027.ec.fits: ap = 29, w1 = 7074.996, w2 = 6925.741, dw = -0.09046, nw = 1651 140605.0027.ec.fits: ap = 30, w1 = 6988.724, w2 = 6841.291, dw = -0.08935, nw = 1651 140605.0027.ec.fits: ap = 31, w1 = 6904.531, w2 = 6758.877, dw = -0.08828, nw = 1651 140605.0027.ec.fits: ap = 32, w1 = 6822.343, w2 = 6678.425, dw = -0.08722, nw = 1651 140605.0027.ec.fits: ap = 33, w1 = 6742.089, w2 = 6599.866, dw = -0.0862, nw = 1651 140605.0027.ec.fits: ap = 34, w1 = 6663.701, w2 = 6523.134, dw = -0.08519, nw = 1651 140605.0027.ec.fits: ap = 35, w1 = 6587.115, w2 = 6448.166, dw = -0.08421, nw = 1651 140605.0027.ec.fits: ap = 36, w1 = 6512.269, w2 = 6374.902, dw = -0.08325, nw = 1651 140605.0027.ec.fits: ap = 37, w1 = 6439.106, w2 = 6303.284, dw = -0.08232, nw = 1651 140605.0027.ec.fits: ap = 38, w1 = 6367.569, w2 = 6233.258, dw = -0.0814, nw = 1651 140605.0027.ec.fits: ap = 39, w1 = 6297.603, w2 = 6164.771, dw = -0.0805, nw = 1651 140605.0027.ec.fits: ap = 40, w1 = 6229.159, w2 = 6097.773, dw = -0.07963, nw = 1651 140605.0027.ec.fits: ap = 41, w1 = 6162.187, w2 = 6032.216, dw = -0.07877, nw = 1651 140605.0027.ec.fits: ap = 42, w1 = 6096.64, w2 = 5968.054, dw = -0.07793, nw = 1651 140605.0027.ec.fits: ap = 43, w1 = 6032.473, w2 = 5905.242, dw = -0.07711, nw = 1651 140605.0027.ec.fits: ap = 44, w1 = 5969.642, w2 = 5843.74, dw = -0.0763, nw = 1651 140605.0027.ec.fits: ap = 45, w1 = 5908.108, w2 = 5783.505, dw = -0.07552, nw = 1651 140605.0027.ec.fits: ap = 46, w1 = 5847.829, w2 = 5724.5, dw = -0.07474, nw = 1651 140605.0027.ec.fits: ap = 47, w1 = 5788.768, w2 = 5666.687, dw = -0.07399, nw = 1651 140605.0027.ec.fits: ap = 48, w1 = 5730.888, w2 = 5610.03, dw = -0.07325, nw = 1651 140605.0027.ec.fits: ap = 49, w1 = 5674.154, w2 = 5554.495, dw = -0.07252, nw = 1651 140605.0027.ec.fits: ap = 50, w1 = 5618.533, w2 = 5500.049, dw = -0.07181, nw = 1651 140605.0027.ec.fits: ap = 51, w1 = 5563.993, w2 = 5446.66, dw = -0.07111, nw = 1651 140605.0027.ec.fits: ap = 52, w1 = 5510.501, w2 = 5394.299, dw = -0.07043, nw = 1651 140605.0027.ec.fits: ap = 53, w1 = 5458.028, w2 = 5342.934, dw = -0.06975, nw = 1651 140605.0027.ec.fits: ap = 54, w1 = 5406.545, w2 = 5292.539, dw = -0.06909, nw = 1651 140605.0027.ec.fits: ap = 55, w1 = 5356.024, w2 = 5243.086, dw = -0.06845, nw = 1651 140605.0027.ec.fits: ap = 56, w1 = 5306.439, w2 = 5194.549, dw = -0.06781, nw = 1651 140605.0027.ec.fits: ap = 57, w1 = 5257.765, w2 = 5146.902, dw = -0.06719, nw = 1651 140605.0027.ec.fits: ap = 58, w1 = 5209.975, w2 = 5100.122, dw = -0.06658, nw = 1651 140605.0027.ec.fits: ap = 59, w1 = 5163.046, w2 = 5054.185, dw = -0.06598, nw = 1651 140605.0027.ec.fits: ap = 60, w1 = 5116.956, w2 = 5009.068, dw = -0.06539, nw = 1651 140605.0027.ec.fits: ap = 61, w1 = 5071.681, w2 = 4964.75, dw = -0.06481, nw = 1651 140605.0027.ec.fits: ap = 62, w1 = 5027.2, w2 = 4921.209, dw = -0.06424, nw = 1651 140605.0027.ec.fits: ap = 63, w1 = 4983.494, w2 = 4878.426, dw = -0.06368, nw = 1651 140605.0027.ec.fits: ap = 64, w1 = 4940.541, w2 = 4836.381, dw = -0.06313, nw = 1651 140605.0027.ec.fits: ap = 65, w1 = 4898.322, w2 = 4795.054, dw = -0.06259, nw = 1651 140605.0027.ec.fits: ap = 66, w1 = 4856.819, w2 = 4754.428, dw = -0.06206, nw = 1651 140605.0027.ec.fits: ap = 67, w1 = 4816.014, w2 = 4714.484, dw = -0.06153, nw = 1651 140605.0027.ec.fits: ap = 68, w1 = 4775.889, w2 = 4675.207, dw = -0.06102, nw = 1651 140605.0027.ec.fits: ap = 69, w1 = 4736.427, w2 = 4636.578, dw = -0.06051, nw = 1651 140605.0027.ec.fits: ap = 70, w1 = 4697.612, w2 = 4598.583, dw = -0.06002, nw = 1651 140605.0027.ec.fits: ap = 71, w1 = 4659.428, w2 = 4561.206, dw = -0.05953, nw = 1651 140605.0027.ec.fits: ap = 72, w1 = 4621.86, w2 = 4524.432, dw = -0.05905, nw = 1651 140605.0027.ec.fits: ap = 73, w1 = 4584.894, w2 = 4488.246, dw = -0.05857, nw = 1651 140605.0027.ec.fits: ap = 74, w1 = 4548.514, w2 = 4452.635, dw = -0.05811, nw = 1651 140605.0027.ec.fits: ap = 75, w1 = 4512.707, w2 = 4417.585, dw = -0.05765, nw = 1651 140605.0027.ec.fits: ap = 76, w1 = 4477.46, w2 = 4383.082, dw = -0.0572, nw = 1651 140605.0027.ec.fits: ap = 77, w1 = 4442.759, w2 = 4349.115, dw = -0.05675, nw = 1651 140605.0027.ec.fits: ap = 78, w1 = 4408.593, w2 = 4315.67, dw = -0.05632, nw = 1651 140605.0027.ec.fits: ap = 79, w1 = 4374.948, w2 = 4282.735, dw = -0.05589, nw = 1651 140605.0027.ec.fits: ap = 80, w1 = 4341.812, w2 = 4250.3, dw = -0.05546, nw = 1651 140605.0027.ec.fits: ap = 81, w1 = 4309.175, w2 = 4218.352, dw = -0.05504, nw = 1651 140605.0027.ec.fits: ap = 82, w1 = 4277.026, w2 = 4186.882, dw = -0.05463, nw = 1651 140605.0027.ec.fits: ap = 83, w1 = 4245.352, w2 = 4155.878, dw = -0.05423, nw = 1651 140605.0027.ec.fits: ap = 84, w1 = 4214.145, w2 = 4125.329, dw = -0.05383, nw = 1651 140605.0027.ec.fits: ap = 85, w1 = 4183.393, w2 = 4095.227, dw = -0.05343, nw = 1651 140605.0027.ec.fits: ap = 86, w1 = 4153.087, w2 = 4065.561, dw = -0.05305, nw = 1651 140605.0027.ec.fits: ap = 87, w1 = 4123.217, w2 = 4036.322, dw = -0.05266, nw = 1651 140605.0027.ec.fits: ap = 88, w1 = 4093.773, w2 = 4007.501, dw = -0.05229, nw = 1651 140605.0027.ec.fits: ap = 89, w1 = 4064.748, w2 = 3979.088, dw = -0.05191, nw = 1651 140605.0027.ec.fits: ap = 90, w1 = 4036.131, w2 = 3951.076, dw = -0.05155, nw = 1651 140605.0027.ec.fits: ap = 91, w1 = 4007.914, w2 = 3923.456, dw = -0.05119, nw = 1651 140605.0027.ec.fits: ap = 92, w1 = 3980.089, w2 = 3896.219, dw = -0.05083, nw = 1651 140605.0027.ec.fits: ap = 93, w1 = 3952.648, w2 = 3869.357, dw = -0.05048, nw = 1651 140605.0027.ec.fits: ap = 94, w1 = 3925.583, w2 = 3842.864, dw = -0.05013, nw = 1651 140605.0027.ec.fits: ap = 95, w1 = 3898.887, w2 = 3816.732, dw = -0.04979, nw = 1651 140605.0027.ec.fits: ap = 96, w1 = 3872.55, w2 = 3790.952, dw = -0.04945, nw = 1651 140605.0027.ec.fits: ap = 97, w1 = 3846.568, w2 = 3765.519, dw = -0.04912, nw = 1651 140605.0027.ec.fits: ap = 98, w1 = 3820.932, w2 = 3740.424, dw = -0.04879, nw = 1651 140605.0027.ec.fits: ap = 99, w1 = 3795.635, w2 = 3715.663, dw = -0.04847, nw = 1651 140605.0027.ec.fits: ap = 100, w1 = 3770.672, w2 = 3691.226, dw = -0.04815, nw = 1651 140605.0027.ec.fits: ap = 101, w1 = 3746.034, w2 = 3667.11, dw = -0.04783, nw = 1651 140605.0027.ec.fits: ap = 102, w1 = 3721.717, w2 = 3643.306, dw = -0.04752, nw = 1651 140605.0027.ec.fits: ap = 103, w1 = 3697.713, w2 = 3619.81, dw = -0.04721, nw = 1651 140605.0027.ec.fits: ap = 104, w1 = 3674.017, w2 = 3596.615, dw = -0.04691, nw = 1651 140605.0027.ec.fits: ap = 105, w1 = 3650.622, w2 = 3573.715, dw = -0.04661, nw = 1651 140605.0027.ec.fits: ap = 106, w1 = 3627.524, w2 = 3551.106, dw = -0.04631, nw = 1651 140605.0027.ec.fits: ap = 107, w1 = 3604.716, w2 = 3528.78, dw = -0.04602, nw = 1651 140605.0027.ec.fits: ap = 108, w1 = 3582.194, w2 = 3506.734, dw = -0.04573, nw = 1651 140605.0027.ec.fits: ap = 109, w1 = 3559.951, w2 = 3484.962, dw = -0.04545, nw = 1651 140605.0027.ec.fits: ap = 110, w1 = 3537.982, w2 = 3463.458, dw = -0.04517, nw = 1651 140605.0027.ec.fits: ap = 111, w1 = 3516.283, w2 = 3442.218, dw = -0.04489, nw = 1651 140605.0027.ec.fits: ap = 112, w1 = 3494.849, w2 = 3421.238, dw = -0.04461, nw = 1651 140605.0027.ec.fits: ap = 113, w1 = 3473.674, w2 = 3400.511, dw = -0.04434, nw = 1651 140605.0027.ec.fits: ap = 114, w1 = 3452.755, w2 = 3380.034, dw = -0.04407, nw = 1651 140605.0027.ec.fits: ap = 115, w1 = 3432.085, w2 = 3359.803, dw = -0.04381, nw = 1651 140605.0028.ec.fits: REFSPEC1 = 'EchelleThAr.0025.ec 0.19816993' 140605.0028.ec.fits: REFSPEC2 = 'EchelleThAr.0029.ec 0.80183005' 140605.0028.ec.fits: ap = 1, w1 = 10812.28, w2 = 10584.14, dw = -0.13827, nw = 1651 140605.0028.ec.fits: ap = 2, w1 = 10612.07, w2 = 10388.15, dw = -0.13571, nw = 1651 140605.0028.ec.fits: ap = 3, w1 = 10419.14, w2 = 10199.29, dw = -0.13324, nw = 1651 140605.0028.ec.fits: ap = 4, w1 = 10233.11, w2 = 10017.18, dw = -0.13086, nw = 1651 140605.0028.ec.fits: ap = 5, w1 = 10053.6, w2 = 9841.456, dw = -0.12857, nw = 1651 140605.0028.ec.fits: ap = 6, w1 = 9880.275, w2 = 9671.792, dw = -0.12635, nw = 1651 140605.0028.ec.fits: ap = 7, w1 = 9712.828, w2 = 9507.878, dw = -0.12421, nw = 1651 140605.0028.ec.fits: ap = 8, w1 = 9550.963, w2 = 9349.429, dw = -0.12214, nw = 1651 140605.0028.ec.fits: ap = 9, w1 = 9394.405, w2 = 9196.174, dw = -0.12014, nw = 1651 140605.0028.ec.fits: ap = 10, w1 = 9242.896, w2 = 9047.864, dw = -0.1182, nw = 1651 140605.0028.ec.fits: ap = 11, w1 = 9096.198, w2 = 8904.261, dw = -0.11633, nw = 1651 140605.0028.ec.fits: ap = 12, w1 = 8954.083, w2 = 8765.146, dw = -0.11451, nw = 1651 140605.0028.ec.fits: ap = 13, w1 = 8816.341, w2 = 8630.311, dw = -0.11275, nw = 1651 140605.0028.ec.fits: ap = 14, w1 = 8682.772, w2 = 8499.563, dw = -0.11104, nw = 1651 140605.0028.ec.fits: ap = 15, w1 = 8553.191, w2 = 8372.717, dw = -0.10938, nw = 1651 140605.0028.ec.fits: ap = 16, w1 = 8427.42, w2 = 8249.602, dw = -0.10777, nw = 1651 140605.0028.ec.fits: ap = 17, w1 = 8305.295, w2 = 8130.055, dw = -0.10621, nw = 1651 140605.0028.ec.fits: ap = 18, w1 = 8186.659, w2 = 8013.924, dw = -0.10469, nw = 1651 140605.0028.ec.fits: ap = 19, w1 = 8071.365, w2 = 7901.064, dw = -0.10321, nw = 1651 140605.0028.ec.fits: ap = 20, w1 = 7959.273, w2 = 7791.34, dw = -0.10178, nw = 1651 140605.0028.ec.fits: ap = 21, w1 = 7850.252, w2 = 7684.621, dw = -0.10038, nw = 1651 140605.0028.ec.fits: ap = 22, w1 = 7744.178, w2 = 7580.787, dw = -0.09902, nw = 1651 140605.0028.ec.fits: ap = 23, w1 = 7640.932, w2 = 7479.722, dw = -0.0977, nw = 1651 140605.0028.ec.fits: ap = 24, w1 = 7540.403, w2 = 7381.316, dw = -0.09642, nw = 1651 140605.0028.ec.fits: ap = 25, w1 = 7442.485, w2 = 7285.466, dw = -0.09516, nw = 1651 140605.0028.ec.fits: ap = 26, w1 = 7347.078, w2 = 7192.074, dw = -0.09394, nw = 1651 140605.0028.ec.fits: ap = 27, w1 = 7254.086, w2 = 7101.047, dw = -0.09275, nw = 1651 140605.0028.ec.fits: ap = 28, w1 = 7163.419, w2 = 7012.295, dw = -0.09159, nw = 1651 140605.0028.ec.fits: ap = 29, w1 = 7074.991, w2 = 6925.735, dw = -0.09046, nw = 1651 140605.0028.ec.fits: ap = 30, w1 = 6988.719, w2 = 6841.286, dw = -0.08935, nw = 1651 140605.0028.ec.fits: ap = 31, w1 = 6904.526, w2 = 6758.871, dw = -0.08828, nw = 1651 140605.0028.ec.fits: ap = 32, w1 = 6822.338, w2 = 6678.42, dw = -0.08722, nw = 1651 140605.0028.ec.fits: ap = 33, w1 = 6742.084, w2 = 6599.861, dw = -0.0862, nw = 1651 140605.0028.ec.fits: ap = 34, w1 = 6663.696, w2 = 6523.129, dw = -0.08519, nw = 1651 140605.0028.ec.fits: ap = 35, w1 = 6587.11, w2 = 6448.161, dw = -0.08421, nw = 1651 140605.0028.ec.fits: ap = 36, w1 = 6512.265, w2 = 6374.897, dw = -0.08325, nw = 1651 140605.0028.ec.fits: ap = 37, w1 = 6439.101, w2 = 6303.28, dw = -0.08232, nw = 1651 140605.0028.ec.fits: ap = 38, w1 = 6367.564, w2 = 6233.253, dw = -0.0814, nw = 1651 140605.0028.ec.fits: ap = 39, w1 = 6297.599, w2 = 6164.767, dw = -0.0805, nw = 1651 140605.0028.ec.fits: ap = 40, w1 = 6229.155, w2 = 6097.769, dw = -0.07963, nw = 1651 140605.0028.ec.fits: ap = 41, w1 = 6162.183, w2 = 6032.211, dw = -0.07877, nw = 1651 140605.0028.ec.fits: ap = 42, w1 = 6096.636, w2 = 5968.049, dw = -0.07793, nw = 1651 140605.0028.ec.fits: ap = 43, w1 = 6032.468, w2 = 5905.238, dw = -0.07711, nw = 1651 140605.0028.ec.fits: ap = 44, w1 = 5969.638, w2 = 5843.735, dw = -0.0763, nw = 1651 140605.0028.ec.fits: ap = 45, w1 = 5908.104, w2 = 5783.5, dw = -0.07552, nw = 1651 140605.0028.ec.fits: ap = 46, w1 = 5847.825, w2 = 5724.495, dw = -0.07475, nw = 1651 140605.0028.ec.fits: ap = 47, w1 = 5788.764, w2 = 5666.682, dw = -0.07399, nw = 1651 140605.0028.ec.fits: ap = 48, w1 = 5730.884, w2 = 5610.025, dw = -0.07325, nw = 1651 140605.0028.ec.fits: ap = 49, w1 = 5674.151, w2 = 5554.49, dw = -0.07252, nw = 1651 140605.0028.ec.fits: ap = 50, w1 = 5618.53, w2 = 5500.044, dw = -0.07181, nw = 1651 140605.0028.ec.fits: ap = 51, w1 = 5563.989, w2 = 5446.656, dw = -0.07111, nw = 1651 140605.0028.ec.fits: ap = 52, w1 = 5510.497, w2 = 5394.294, dw = -0.07043, nw = 1651 140605.0028.ec.fits: ap = 53, w1 = 5458.024, w2 = 5342.929, dw = -0.06975, nw = 1651 140605.0028.ec.fits: ap = 54, w1 = 5406.541, w2 = 5292.534, dw = -0.0691, nw = 1651 140605.0028.ec.fits: ap = 55, w1 = 5356.021, w2 = 5243.081, dw = -0.06845, nw = 1651 140605.0028.ec.fits: ap = 56, w1 = 5306.436, w2 = 5194.544, dw = -0.06781, nw = 1651 140605.0028.ec.fits: ap = 57, w1 = 5257.761, w2 = 5146.897, dw = -0.06719, nw = 1651 140605.0028.ec.fits: ap = 58, w1 = 5209.972, w2 = 5100.117, dw = -0.06658, nw = 1651 140605.0028.ec.fits: ap = 59, w1 = 5163.043, w2 = 5054.179, dw = -0.06598, nw = 1651 140605.0028.ec.fits: ap = 60, w1 = 5116.952, w2 = 5009.063, dw = -0.06539, nw = 1651 140605.0028.ec.fits: ap = 61, w1 = 5071.678, w2 = 4964.744, dw = -0.06481, nw = 1651 140605.0028.ec.fits: ap = 62, w1 = 5027.198, w2 = 4921.204, dw = -0.06424, nw = 1651 140605.0028.ec.fits: ap = 63, w1 = 4983.491, w2 = 4878.42, dw = -0.06368, nw = 1651 140605.0028.ec.fits: ap = 64, w1 = 4940.538, w2 = 4836.374, dw = -0.06313, nw = 1651 140605.0028.ec.fits: ap = 65, w1 = 4898.32, w2 = 4795.048, dw = -0.06259, nw = 1651 140605.0028.ec.fits: ap = 66, w1 = 4856.817, w2 = 4754.421, dw = -0.06206, nw = 1651 140605.0028.ec.fits: ap = 67, w1 = 4816.011, w2 = 4714.478, dw = -0.06154, nw = 1651 140605.0028.ec.fits: ap = 68, w1 = 4775.886, w2 = 4675.2, dw = -0.06102, nw = 1651 140605.0028.ec.fits: ap = 69, w1 = 4736.424, w2 = 4636.572, dw = -0.06052, nw = 1651 140605.0028.ec.fits: ap = 70, w1 = 4697.61, w2 = 4598.577, dw = -0.06002, nw = 1651 140605.0028.ec.fits: ap = 71, w1 = 4659.426, w2 = 4561.199, dw = -0.05953, nw = 1651 140605.0028.ec.fits: ap = 72, w1 = 4621.858, w2 = 4524.425, dw = -0.05905, nw = 1651 140605.0028.ec.fits: ap = 73, w1 = 4584.892, w2 = 4488.239, dw = -0.05858, nw = 1651 140605.0028.ec.fits: ap = 74, w1 = 4548.512, w2 = 4452.628, dw = -0.05811, nw = 1651 140605.0028.ec.fits: ap = 75, w1 = 4512.706, w2 = 4417.578, dw = -0.05765, nw = 1651 140605.0028.ec.fits: ap = 76, w1 = 4477.459, w2 = 4383.075, dw = -0.0572, nw = 1651 140605.0028.ec.fits: ap = 77, w1 = 4442.758, w2 = 4349.107, dw = -0.05676, nw = 1651 140605.0028.ec.fits: ap = 78, w1 = 4408.591, w2 = 4315.662, dw = -0.05632, nw = 1651 140605.0028.ec.fits: ap = 79, w1 = 4374.946, w2 = 4282.728, dw = -0.05589, nw = 1651 140605.0028.ec.fits: ap = 80, w1 = 4341.811, w2 = 4250.293, dw = -0.05547, nw = 1651 140605.0028.ec.fits: ap = 81, w1 = 4309.175, w2 = 4218.345, dw = -0.05505, nw = 1651 140605.0028.ec.fits: ap = 82, w1 = 4277.025, w2 = 4186.875, dw = -0.05464, nw = 1651 140605.0028.ec.fits: ap = 83, w1 = 4245.352, w2 = 4155.87, dw = -0.05423, nw = 1651 140605.0028.ec.fits: ap = 84, w1 = 4214.144, w2 = 4125.322, dw = -0.05383, nw = 1651 140605.0028.ec.fits: ap = 85, w1 = 4183.393, w2 = 4095.22, dw = -0.05344, nw = 1651 140605.0028.ec.fits: ap = 86, w1 = 4153.087, w2 = 4065.554, dw = -0.05305, nw = 1651 140605.0028.ec.fits: ap = 87, w1 = 4123.217, w2 = 4036.315, dw = -0.05267, nw = 1651 140605.0028.ec.fits: ap = 88, w1 = 4093.774, w2 = 4007.494, dw = -0.05229, nw = 1651 140605.0028.ec.fits: ap = 89, w1 = 4064.748, w2 = 3979.082, dw = -0.05192, nw = 1651 140605.0028.ec.fits: ap = 90, w1 = 4036.131, w2 = 3951.07, dw = -0.05155, nw = 1651 140605.0028.ec.fits: ap = 91, w1 = 4007.915, w2 = 3923.45, dw = -0.05119, nw = 1651 140605.0028.ec.fits: ap = 92, w1 = 3980.09, w2 = 3896.213, dw = -0.05083, nw = 1651 140605.0028.ec.fits: ap = 93, w1 = 3952.65, w2 = 3869.352, dw = -0.05048, nw = 1651 140605.0028.ec.fits: ap = 94, w1 = 3925.585, w2 = 3842.86, dw = -0.05014, nw = 1651 140605.0028.ec.fits: ap = 95, w1 = 3898.888, w2 = 3816.727, dw = -0.04979, nw = 1651 140605.0028.ec.fits: ap = 96, w1 = 3872.553, w2 = 3790.948, dw = -0.04946, nw = 1651 140605.0028.ec.fits: ap = 97, w1 = 3846.57, w2 = 3765.515, dw = -0.04912, nw = 1651 140605.0028.ec.fits: ap = 98, w1 = 3820.935, w2 = 3740.422, dw = -0.0488, nw = 1651 140605.0028.ec.fits: ap = 99, w1 = 3795.638, w2 = 3715.66, dw = -0.04847, nw = 1651 140605.0028.ec.fits: ap = 100, w1 = 3770.675, w2 = 3691.225, dw = -0.04815, nw = 1651 140605.0028.ec.fits: ap = 101, w1 = 3746.038, w2 = 3667.109, dw = -0.04784, nw = 1651 140605.0028.ec.fits: ap = 102, w1 = 3721.721, w2 = 3643.306, dw = -0.04752, nw = 1651 140605.0028.ec.fits: ap = 103, w1 = 3697.717, w2 = 3619.811, dw = -0.04722, nw = 1651 140605.0028.ec.fits: ap = 104, w1 = 3674.021, w2 = 3596.616, dw = -0.04691, nw = 1651 140605.0028.ec.fits: ap = 105, w1 = 3650.627, w2 = 3573.718, dw = -0.04661, nw = 1651 140605.0028.ec.fits: ap = 106, w1 = 3627.53, w2 = 3551.109, dw = -0.04632, nw = 1651 140605.0028.ec.fits: ap = 107, w1 = 3604.722, w2 = 3528.785, dw = -0.04602, nw = 1651 140605.0028.ec.fits: ap = 108, w1 = 3582.2, w2 = 3506.739, dw = -0.04573, nw = 1651 140605.0028.ec.fits: ap = 109, w1 = 3559.958, w2 = 3484.968, dw = -0.04545, nw = 1651 140605.0028.ec.fits: ap = 110, w1 = 3537.99, w2 = 3463.466, dw = -0.04517, nw = 1651 140605.0028.ec.fits: ap = 111, w1 = 3516.291, w2 = 3442.227, dw = -0.04489, nw = 1651 140605.0028.ec.fits: ap = 112, w1 = 3494.857, w2 = 3421.248, dw = -0.04461, nw = 1651 140605.0028.ec.fits: ap = 113, w1 = 3473.683, w2 = 3400.522, dw = -0.04434, nw = 1651 140605.0028.ec.fits: ap = 114, w1 = 3452.764, w2 = 3380.047, dw = -0.04407, nw = 1651 140605.0028.ec.fits: ap = 115, w1 = 3432.095, w2 = 3359.817, dw = -0.0438, nw = 1651 140605.0030.ec.fits: REFSPEC1 = 'EchelleThAr.0029.ec 0.89755738' 140605.0030.ec.fits: REFSPEC2 = 'EchelleThAr.0034.ec 0.1024426' 140605.0030.ec.fits: ap = 1, w1 = 10812.27, w2 = 10584.14, dw = -0.13827, nw = 1651 140605.0030.ec.fits: ap = 2, w1 = 10612.07, w2 = 10388.15, dw = -0.13571, nw = 1651 140605.0030.ec.fits: ap = 3, w1 = 10419.14, w2 = 10199.29, dw = -0.13324, nw = 1651 140605.0030.ec.fits: ap = 4, w1 = 10233.1, w2 = 10017.18, dw = -0.13086, nw = 1651 140605.0030.ec.fits: ap = 5, w1 = 10053.59, w2 = 9841.453, dw = -0.12857, nw = 1651 140605.0030.ec.fits: ap = 6, w1 = 9880.269, w2 = 9671.788, dw = -0.12635, nw = 1651 140605.0030.ec.fits: ap = 7, w1 = 9712.823, w2 = 9507.875, dw = -0.12421, nw = 1651 140605.0030.ec.fits: ap = 8, w1 = 9550.958, w2 = 9349.425, dw = -0.12214, nw = 1651 140605.0030.ec.fits: ap = 9, w1 = 9394.4, w2 = 9196.17, dw = -0.12014, nw = 1651 140605.0030.ec.fits: ap = 10, w1 = 9242.892, w2 = 9047.86, dw = -0.1182, nw = 1651 140605.0030.ec.fits: ap = 11, w1 = 9096.193, w2 = 8904.257, dw = -0.11632, nw = 1651 140605.0030.ec.fits: ap = 12, w1 = 8954.078, w2 = 8765.141, dw = -0.11451, nw = 1651 140605.0030.ec.fits: ap = 13, w1 = 8816.335, w2 = 8630.306, dw = -0.11274, nw = 1651 140605.0030.ec.fits: ap = 14, w1 = 8682.767, w2 = 8499.557, dw = -0.11104, nw = 1651 140605.0030.ec.fits: ap = 15, w1 = 8553.185, w2 = 8372.711, dw = -0.10938, nw = 1651 140605.0030.ec.fits: ap = 16, w1 = 8427.415, w2 = 8249.597, dw = -0.10777, nw = 1651 140605.0030.ec.fits: ap = 17, w1 = 8305.29, w2 = 8130.05, dw = -0.10621, nw = 1651 140605.0030.ec.fits: ap = 18, w1 = 8186.654, w2 = 8013.919, dw = -0.10469, nw = 1651 140605.0030.ec.fits: ap = 19, w1 = 8071.36, w2 = 7901.06, dw = -0.10321, nw = 1651 140605.0030.ec.fits: ap = 20, w1 = 7959.269, w2 = 7791.335, dw = -0.10178, nw = 1651 140605.0030.ec.fits: ap = 21, w1 = 7850.248, w2 = 7684.617, dw = -0.10038, nw = 1651 140605.0030.ec.fits: ap = 22, w1 = 7744.174, w2 = 7580.783, dw = -0.09902, nw = 1651 140605.0030.ec.fits: ap = 23, w1 = 7640.928, w2 = 7479.718, dw = -0.0977, nw = 1651 140605.0030.ec.fits: ap = 24, w1 = 7540.399, w2 = 7381.312, dw = -0.09642, nw = 1651 140605.0030.ec.fits: ap = 25, w1 = 7442.481, w2 = 7285.463, dw = -0.09516, nw = 1651 140605.0030.ec.fits: ap = 26, w1 = 7347.074, w2 = 7192.071, dw = -0.09394, nw = 1651 140605.0030.ec.fits: ap = 27, w1 = 7254.082, w2 = 7101.043, dw = -0.09275, nw = 1651 140605.0030.ec.fits: ap = 28, w1 = 7163.415, w2 = 7012.292, dw = -0.09159, nw = 1651 140605.0030.ec.fits: ap = 29, w1 = 7074.987, w2 = 6925.731, dw = -0.09046, nw = 1651 140605.0030.ec.fits: ap = 30, w1 = 6988.715, w2 = 6841.282, dw = -0.08935, nw = 1651 140605.0030.ec.fits: ap = 31, w1 = 6904.523, w2 = 6758.868, dw = -0.08828, nw = 1651 140605.0030.ec.fits: ap = 32, w1 = 6822.335, w2 = 6678.416, dw = -0.08722, nw = 1651 140605.0030.ec.fits: ap = 33, w1 = 6742.08, w2 = 6599.857, dw = -0.0862, nw = 1651 140605.0030.ec.fits: ap = 34, w1 = 6663.692, w2 = 6523.126, dw = -0.08519, nw = 1651 140605.0030.ec.fits: ap = 35, w1 = 6587.107, w2 = 6448.158, dw = -0.08421, nw = 1651 140605.0030.ec.fits: ap = 36, w1 = 6512.261, w2 = 6374.894, dw = -0.08325, nw = 1651 140605.0030.ec.fits: ap = 37, w1 = 6439.098, w2 = 6303.276, dw = -0.08232, nw = 1651 140605.0030.ec.fits: ap = 38, w1 = 6367.561, w2 = 6233.25, dw = -0.0814, nw = 1651 140605.0030.ec.fits: ap = 39, w1 = 6297.596, w2 = 6164.764, dw = -0.0805, nw = 1651 140605.0030.ec.fits: ap = 40, w1 = 6229.152, w2 = 6097.766, dw = -0.07963, nw = 1651 140605.0030.ec.fits: ap = 41, w1 = 6162.18, w2 = 6032.208, dw = -0.07877, nw = 1651 140605.0030.ec.fits: ap = 42, w1 = 6096.633, w2 = 5968.046, dw = -0.07793, nw = 1651 140605.0030.ec.fits: ap = 43, w1 = 6032.465, w2 = 5905.235, dw = -0.07711, nw = 1651 140605.0030.ec.fits: ap = 44, w1 = 5969.635, w2 = 5843.732, dw = -0.07631, nw = 1651 140605.0030.ec.fits: ap = 45, w1 = 5908.101, w2 = 5783.497, dw = -0.07552, nw = 1651 140605.0030.ec.fits: ap = 46, w1 = 5847.822, w2 = 5724.492, dw = -0.07475, nw = 1651 140605.0030.ec.fits: ap = 47, w1 = 5788.761, w2 = 5666.679, dw = -0.07399, nw = 1651 140605.0030.ec.fits: ap = 48, w1 = 5730.881, w2 = 5610.022, dw = -0.07325, nw = 1651 140605.0030.ec.fits: ap = 49, w1 = 5674.148, w2 = 5554.487, dw = -0.07252, nw = 1651 140605.0030.ec.fits: ap = 50, w1 = 5618.527, w2 = 5500.041, dw = -0.07181, nw = 1651 140605.0030.ec.fits: ap = 51, w1 = 5563.986, w2 = 5446.652, dw = -0.07111, nw = 1651 140605.0030.ec.fits: ap = 52, w1 = 5510.494, w2 = 5394.29, dw = -0.07043, nw = 1651 140605.0030.ec.fits: ap = 53, w1 = 5458.021, w2 = 5342.925, dw = -0.06975, nw = 1651 140605.0030.ec.fits: ap = 54, w1 = 5406.538, w2 = 5292.53, dw = -0.0691, nw = 1651 140605.0030.ec.fits: ap = 55, w1 = 5356.018, w2 = 5243.077, dw = -0.06845, nw = 1651 140605.0030.ec.fits: ap = 56, w1 = 5306.433, w2 = 5194.539, dw = -0.06781, nw = 1651 140605.0030.ec.fits: ap = 57, w1 = 5257.758, w2 = 5146.893, dw = -0.06719, nw = 1651 140605.0030.ec.fits: ap = 58, w1 = 5209.969, w2 = 5100.112, dw = -0.06658, nw = 1651 140605.0030.ec.fits: ap = 59, w1 = 5163.04, w2 = 5054.175, dw = -0.06598, nw = 1651 140605.0030.ec.fits: ap = 60, w1 = 5116.95, w2 = 5009.058, dw = -0.06539, nw = 1651 140605.0030.ec.fits: ap = 61, w1 = 5071.675, w2 = 4964.74, dw = -0.06481, nw = 1651 140605.0030.ec.fits: ap = 62, w1 = 5027.195, w2 = 4921.199, dw = -0.06424, nw = 1651 140605.0030.ec.fits: ap = 63, w1 = 4983.489, w2 = 4878.416, dw = -0.06368, nw = 1651 140605.0030.ec.fits: ap = 64, w1 = 4940.536, w2 = 4836.37, dw = -0.06313, nw = 1651 140605.0030.ec.fits: ap = 65, w1 = 4898.317, w2 = 4795.043, dw = -0.06259, nw = 1651 140605.0030.ec.fits: ap = 66, w1 = 4856.814, w2 = 4754.417, dw = -0.06206, nw = 1651 140605.0030.ec.fits: ap = 67, w1 = 4816.009, w2 = 4714.473, dw = -0.06154, nw = 1651 140605.0030.ec.fits: ap = 68, w1 = 4775.884, w2 = 4675.195, dw = -0.06102, nw = 1651 140605.0030.ec.fits: ap = 69, w1 = 4736.422, w2 = 4636.567, dw = -0.06052, nw = 1651 140605.0030.ec.fits: ap = 70, w1 = 4697.608, w2 = 4598.572, dw = -0.06002, nw = 1651 140605.0030.ec.fits: ap = 71, w1 = 4659.424, w2 = 4561.195, dw = -0.05953, nw = 1651 140605.0030.ec.fits: ap = 72, w1 = 4621.856, w2 = 4524.42, dw = -0.05905, nw = 1651 140605.0030.ec.fits: ap = 73, w1 = 4584.89, w2 = 4488.235, dw = -0.05858, nw = 1651 140605.0030.ec.fits: ap = 74, w1 = 4548.51, w2 = 4452.623, dw = -0.05811, nw = 1651 140605.0030.ec.fits: ap = 75, w1 = 4512.704, w2 = 4417.573, dw = -0.05766, nw = 1651 140605.0030.ec.fits: ap = 76, w1 = 4477.457, w2 = 4383.07, dw = -0.0572, nw = 1651 140605.0030.ec.fits: ap = 77, w1 = 4442.756, w2 = 4349.102, dw = -0.05676, nw = 1651 140605.0030.ec.fits: ap = 78, w1 = 4408.59, w2 = 4315.657, dw = -0.05632, nw = 1651 140605.0030.ec.fits: ap = 79, w1 = 4374.945, w2 = 4282.723, dw = -0.05589, nw = 1651 140605.0030.ec.fits: ap = 80, w1 = 4341.81, w2 = 4250.288, dw = -0.05547, nw = 1651 140605.0030.ec.fits: ap = 81, w1 = 4309.173, w2 = 4218.341, dw = -0.05505, nw = 1651 140605.0030.ec.fits: ap = 82, w1 = 4277.024, w2 = 4186.87, dw = -0.05464, nw = 1651 140605.0030.ec.fits: ap = 83, w1 = 4245.351, w2 = 4155.866, dw = -0.05423, nw = 1651 140605.0030.ec.fits: ap = 84, w1 = 4214.143, w2 = 4125.318, dw = -0.05383, nw = 1651 140605.0030.ec.fits: ap = 85, w1 = 4183.392, w2 = 4095.216, dw = -0.05344, nw = 1651 140605.0030.ec.fits: ap = 86, w1 = 4153.086, w2 = 4065.55, dw = -0.05305, nw = 1651 140605.0030.ec.fits: ap = 87, w1 = 4123.216, w2 = 4036.312, dw = -0.05267, nw = 1651 140605.0030.ec.fits: ap = 88, w1 = 4093.773, w2 = 4007.491, dw = -0.05229, nw = 1651 140605.0030.ec.fits: ap = 89, w1 = 4064.747, w2 = 3979.079, dw = -0.05192, nw = 1651 140605.0030.ec.fits: ap = 90, w1 = 4036.13, w2 = 3951.066, dw = -0.05155, nw = 1651 140605.0030.ec.fits: ap = 91, w1 = 4007.913, w2 = 3923.446, dw = -0.05119, nw = 1651 140605.0030.ec.fits: ap = 92, w1 = 3980.089, w2 = 3896.21, dw = -0.05084, nw = 1651 140605.0030.ec.fits: ap = 93, w1 = 3952.648, w2 = 3869.35, dw = -0.05048, nw = 1651 140605.0030.ec.fits: ap = 94, w1 = 3925.583, w2 = 3842.857, dw = -0.05014, nw = 1651 140605.0030.ec.fits: ap = 95, w1 = 3898.887, w2 = 3816.725, dw = -0.04979, nw = 1651 140605.0030.ec.fits: ap = 96, w1 = 3872.551, w2 = 3790.947, dw = -0.04946, nw = 1651 140605.0030.ec.fits: ap = 97, w1 = 3846.569, w2 = 3765.514, dw = -0.04912, nw = 1651 140605.0030.ec.fits: ap = 98, w1 = 3820.933, w2 = 3740.421, dw = -0.0488, nw = 1651 140605.0030.ec.fits: ap = 99, w1 = 3795.637, w2 = 3715.66, dw = -0.04847, nw = 1651 140605.0030.ec.fits: ap = 100, w1 = 3770.673, w2 = 3691.225, dw = -0.04815, nw = 1651 140605.0030.ec.fits: ap = 101, w1 = 3746.036, w2 = 3667.109, dw = -0.04783, nw = 1651 140605.0030.ec.fits: ap = 102, w1 = 3721.719, w2 = 3643.307, dw = -0.04752, nw = 1651 140605.0030.ec.fits: ap = 103, w1 = 3697.716, w2 = 3619.812, dw = -0.04721, nw = 1651 140605.0030.ec.fits: ap = 104, w1 = 3674.02, w2 = 3596.619, dw = -0.04691, nw = 1651 140605.0030.ec.fits: ap = 105, w1 = 3650.626, w2 = 3573.72, dw = -0.04661, nw = 1651 140605.0030.ec.fits: ap = 106, w1 = 3627.528, w2 = 3551.112, dw = -0.04631, nw = 1651 140605.0030.ec.fits: ap = 107, w1 = 3604.721, w2 = 3528.789, dw = -0.04602, nw = 1651 140605.0030.ec.fits: ap = 108, w1 = 3582.198, w2 = 3506.744, dw = -0.04573, nw = 1651 140605.0030.ec.fits: ap = 109, w1 = 3559.956, w2 = 3484.974, dw = -0.04544, nw = 1651 140605.0030.ec.fits: ap = 110, w1 = 3537.988, w2 = 3463.472, dw = -0.04516, nw = 1651 140605.0030.ec.fits: ap = 111, w1 = 3516.289, w2 = 3442.234, dw = -0.04488, nw = 1651 140605.0030.ec.fits: ap = 112, w1 = 3494.855, w2 = 3421.256, dw = -0.04461, nw = 1651 140605.0030.ec.fits: ap = 113, w1 = 3473.681, w2 = 3400.531, dw = -0.04433, nw = 1651 140605.0030.ec.fits: ap = 114, w1 = 3452.762, w2 = 3380.057, dw = -0.04406, nw = 1651 140605.0030.ec.fits: ap = 115, w1 = 3432.093, w2 = 3359.828, dw = -0.0438, nw = 1651 140605.0031.ec.fits: REFSPEC1 = 'EchelleThAr.0029.ec 0.64756745' 140605.0031.ec.fits: REFSPEC2 = 'EchelleThAr.0034.ec 0.35243258' 140605.0031.ec.fits: ap = 1, w1 = 10812.27, w2 = 10584.14, dw = -0.13826, nw = 1651 140605.0031.ec.fits: ap = 2, w1 = 10612.07, w2 = 10388.15, dw = -0.1357, nw = 1651 140605.0031.ec.fits: ap = 3, w1 = 10419.14, w2 = 10199.29, dw = -0.13324, nw = 1651 140605.0031.ec.fits: ap = 4, w1 = 10233.1, w2 = 10017.18, dw = -0.13086, nw = 1651 140605.0031.ec.fits: ap = 5, w1 = 10053.59, w2 = 9841.456, dw = -0.12857, nw = 1651 140605.0031.ec.fits: ap = 6, w1 = 9880.268, w2 = 9671.791, dw = -0.12635, nw = 1651 140605.0031.ec.fits: ap = 7, w1 = 9712.822, w2 = 9507.877, dw = -0.12421, nw = 1651 140605.0031.ec.fits: ap = 8, w1 = 9550.957, w2 = 9349.427, dw = -0.12214, nw = 1651 140605.0031.ec.fits: ap = 9, w1 = 9394.398, w2 = 9196.172, dw = -0.12014, nw = 1651 140605.0031.ec.fits: ap = 10, w1 = 9242.891, w2 = 9047.862, dw = -0.1182, nw = 1651 140605.0031.ec.fits: ap = 11, w1 = 9096.192, w2 = 8904.258, dw = -0.11632, nw = 1651 140605.0031.ec.fits: ap = 12, w1 = 8954.077, w2 = 8765.143, dw = -0.11451, nw = 1651 140605.0031.ec.fits: ap = 13, w1 = 8816.334, w2 = 8630.308, dw = -0.11274, nw = 1651 140605.0031.ec.fits: ap = 14, w1 = 8682.766, w2 = 8499.559, dw = -0.11103, nw = 1651 140605.0031.ec.fits: ap = 15, w1 = 8553.184, w2 = 8372.713, dw = -0.10938, nw = 1651 140605.0031.ec.fits: ap = 16, w1 = 8427.414, w2 = 8249.598, dw = -0.10777, nw = 1651 140605.0031.ec.fits: ap = 17, w1 = 8305.289, w2 = 8130.051, dw = -0.1062, nw = 1651 140605.0031.ec.fits: ap = 18, w1 = 8186.654, w2 = 8013.92, dw = -0.10469, nw = 1651 140605.0031.ec.fits: ap = 19, w1 = 8071.359, w2 = 7901.061, dw = -0.10321, nw = 1651 140605.0031.ec.fits: ap = 20, w1 = 7959.268, w2 = 7791.336, dw = -0.10178, nw = 1651 140605.0031.ec.fits: ap = 21, w1 = 7850.247, w2 = 7684.618, dw = -0.10038, nw = 1651 140605.0031.ec.fits: ap = 22, w1 = 7744.173, w2 = 7580.783, dw = -0.09902, nw = 1651 140605.0031.ec.fits: ap = 23, w1 = 7640.927, w2 = 7479.718, dw = -0.0977, nw = 1651 140605.0031.ec.fits: ap = 24, w1 = 7540.398, w2 = 7381.313, dw = -0.09642, nw = 1651 140605.0031.ec.fits: ap = 25, w1 = 7442.48, w2 = 7285.463, dw = -0.09516, nw = 1651 140605.0031.ec.fits: ap = 26, w1 = 7347.073, w2 = 7192.071, dw = -0.09394, nw = 1651 140605.0031.ec.fits: ap = 27, w1 = 7254.081, w2 = 7101.044, dw = -0.09275, nw = 1651 140605.0031.ec.fits: ap = 28, w1 = 7163.414, w2 = 7012.292, dw = -0.09159, nw = 1651 140605.0031.ec.fits: ap = 29, w1 = 7074.986, w2 = 6925.731, dw = -0.09046, nw = 1651 140605.0031.ec.fits: ap = 30, w1 = 6988.714, w2 = 6841.282, dw = -0.08935, nw = 1651 140605.0031.ec.fits: ap = 31, w1 = 6904.522, w2 = 6758.868, dw = -0.08827, nw = 1651 140605.0031.ec.fits: ap = 32, w1 = 6822.334, w2 = 6678.416, dw = -0.08722, nw = 1651 140605.0031.ec.fits: ap = 33, w1 = 6742.079, w2 = 6599.857, dw = -0.0862, nw = 1651 140605.0031.ec.fits: ap = 34, w1 = 6663.691, w2 = 6523.126, dw = -0.08519, nw = 1651 140605.0031.ec.fits: ap = 35, w1 = 6587.106, w2 = 6448.158, dw = -0.08421, nw = 1651 140605.0031.ec.fits: ap = 36, w1 = 6512.26, w2 = 6374.894, dw = -0.08325, nw = 1651 140605.0031.ec.fits: ap = 37, w1 = 6439.097, w2 = 6303.276, dw = -0.08232, nw = 1651 140605.0031.ec.fits: ap = 38, w1 = 6367.56, w2 = 6233.25, dw = -0.0814, nw = 1651 140605.0031.ec.fits: ap = 39, w1 = 6297.595, w2 = 6164.763, dw = -0.0805, nw = 1651 140605.0031.ec.fits: ap = 40, w1 = 6229.151, w2 = 6097.765, dw = -0.07963, nw = 1651 140605.0031.ec.fits: ap = 41, w1 = 6162.179, w2 = 6032.208, dw = -0.07877, nw = 1651 140605.0031.ec.fits: ap = 42, w1 = 6096.632, w2 = 5968.046, dw = -0.07793, nw = 1651 140605.0031.ec.fits: ap = 43, w1 = 6032.465, w2 = 5905.234, dw = -0.07711, nw = 1651 140605.0031.ec.fits: ap = 44, w1 = 5969.635, w2 = 5843.732, dw = -0.0763, nw = 1651 140605.0031.ec.fits: ap = 45, w1 = 5908.1, w2 = 5783.497, dw = -0.07552, nw = 1651 140605.0031.ec.fits: ap = 46, w1 = 5847.821, w2 = 5724.492, dw = -0.07475, nw = 1651 140605.0031.ec.fits: ap = 47, w1 = 5788.76, w2 = 5666.678, dw = -0.07399, nw = 1651 140605.0031.ec.fits: ap = 48, w1 = 5730.881, w2 = 5610.021, dw = -0.07325, nw = 1651 140605.0031.ec.fits: ap = 49, w1 = 5674.147, w2 = 5554.486, dw = -0.07252, nw = 1651 140605.0031.ec.fits: ap = 50, w1 = 5618.526, w2 = 5500.04, dw = -0.07181, nw = 1651 140605.0031.ec.fits: ap = 51, w1 = 5563.986, w2 = 5446.652, dw = -0.07111, nw = 1651 140605.0031.ec.fits: ap = 52, w1 = 5510.494, w2 = 5394.29, dw = -0.07043, nw = 1651 140605.0031.ec.fits: ap = 53, w1 = 5458.02, w2 = 5342.925, dw = -0.06975, nw = 1651 140605.0031.ec.fits: ap = 54, w1 = 5406.538, w2 = 5292.529, dw = -0.0691, nw = 1651 140605.0031.ec.fits: ap = 55, w1 = 5356.017, w2 = 5243.076, dw = -0.06845, nw = 1651 140605.0031.ec.fits: ap = 56, w1 = 5306.433, w2 = 5194.539, dw = -0.06781, nw = 1651 140605.0031.ec.fits: ap = 57, w1 = 5257.758, w2 = 5146.892, dw = -0.06719, nw = 1651 140605.0031.ec.fits: ap = 58, w1 = 5209.968, w2 = 5100.112, dw = -0.06658, nw = 1651 140605.0031.ec.fits: ap = 59, w1 = 5163.04, w2 = 5054.175, dw = -0.06598, nw = 1651 140605.0031.ec.fits: ap = 60, w1 = 5116.949, w2 = 5009.058, dw = -0.06539, nw = 1651 140605.0031.ec.fits: ap = 61, w1 = 5071.675, w2 = 4964.739, dw = -0.06481, nw = 1651 140605.0031.ec.fits: ap = 62, w1 = 5027.195, w2 = 4921.198, dw = -0.06424, nw = 1651 140605.0031.ec.fits: ap = 63, w1 = 4983.488, w2 = 4878.415, dw = -0.06368, nw = 1651 140605.0031.ec.fits: ap = 64, w1 = 4940.535, w2 = 4836.369, dw = -0.06313, nw = 1651 140605.0031.ec.fits: ap = 65, w1 = 4898.317, w2 = 4795.042, dw = -0.06259, nw = 1651 140605.0031.ec.fits: ap = 66, w1 = 4856.814, w2 = 4754.416, dw = -0.06206, nw = 1651 140605.0031.ec.fits: ap = 67, w1 = 4816.009, w2 = 4714.472, dw = -0.06154, nw = 1651 140605.0031.ec.fits: ap = 68, w1 = 4775.883, w2 = 4675.195, dw = -0.06102, nw = 1651 140605.0031.ec.fits: ap = 69, w1 = 4736.422, w2 = 4636.566, dw = -0.06052, nw = 1651 140605.0031.ec.fits: ap = 70, w1 = 4697.607, w2 = 4598.571, dw = -0.06002, nw = 1651 140605.0031.ec.fits: ap = 71, w1 = 4659.423, w2 = 4561.194, dw = -0.05953, nw = 1651 140605.0031.ec.fits: ap = 72, w1 = 4621.855, w2 = 4524.42, dw = -0.05905, nw = 1651 140605.0031.ec.fits: ap = 73, w1 = 4584.889, w2 = 4488.234, dw = -0.05858, nw = 1651 140605.0031.ec.fits: ap = 74, w1 = 4548.509, w2 = 4452.623, dw = -0.05811, nw = 1651 140605.0031.ec.fits: ap = 75, w1 = 4512.703, w2 = 4417.572, dw = -0.05765, nw = 1651 140605.0031.ec.fits: ap = 76, w1 = 4477.455, w2 = 4383.07, dw = -0.0572, nw = 1651 140605.0031.ec.fits: ap = 77, w1 = 4442.755, w2 = 4349.102, dw = -0.05676, nw = 1651 140605.0031.ec.fits: ap = 78, w1 = 4408.588, w2 = 4315.657, dw = -0.05632, nw = 1651 140605.0031.ec.fits: ap = 79, w1 = 4374.943, w2 = 4282.723, dw = -0.05589, nw = 1651 140605.0031.ec.fits: ap = 80, w1 = 4341.808, w2 = 4250.288, dw = -0.05547, nw = 1651 140605.0031.ec.fits: ap = 81, w1 = 4309.171, w2 = 4218.341, dw = -0.05505, nw = 1651 140605.0031.ec.fits: ap = 82, w1 = 4277.021, w2 = 4186.87, dw = -0.05464, nw = 1651 140605.0031.ec.fits: ap = 83, w1 = 4245.348, w2 = 4155.866, dw = -0.05423, nw = 1651 140605.0031.ec.fits: ap = 84, w1 = 4214.14, w2 = 4125.318, dw = -0.05383, nw = 1651 140605.0031.ec.fits: ap = 85, w1 = 4183.388, w2 = 4095.216, dw = -0.05344, nw = 1651 140605.0031.ec.fits: ap = 86, w1 = 4153.082, w2 = 4065.551, dw = -0.05305, nw = 1651 140605.0031.ec.fits: ap = 87, w1 = 4123.212, w2 = 4036.312, dw = -0.05267, nw = 1651 140605.0031.ec.fits: ap = 88, w1 = 4093.769, w2 = 4007.491, dw = -0.05229, nw = 1651 140605.0031.ec.fits: ap = 89, w1 = 4064.743, w2 = 3979.079, dw = -0.05192, nw = 1651 140605.0031.ec.fits: ap = 90, w1 = 4036.125, w2 = 3951.067, dw = -0.05155, nw = 1651 140605.0031.ec.fits: ap = 91, w1 = 4007.909, w2 = 3923.447, dw = -0.05119, nw = 1651 140605.0031.ec.fits: ap = 92, w1 = 3980.084, w2 = 3896.211, dw = -0.05083, nw = 1651 140605.0031.ec.fits: ap = 93, w1 = 3952.643, w2 = 3869.351, dw = -0.05048, nw = 1651 140605.0031.ec.fits: ap = 94, w1 = 3925.578, w2 = 3842.858, dw = -0.05013, nw = 1651 140605.0031.ec.fits: ap = 95, w1 = 3898.881, w2 = 3816.727, dw = -0.04979, nw = 1651 140605.0031.ec.fits: ap = 96, w1 = 3872.544, w2 = 3790.948, dw = -0.04945, nw = 1651 140605.0031.ec.fits: ap = 97, w1 = 3846.562, w2 = 3765.516, dw = -0.04912, nw = 1651 140605.0031.ec.fits: ap = 98, w1 = 3820.925, w2 = 3740.422, dw = -0.04879, nw = 1651 140605.0031.ec.fits: ap = 99, w1 = 3795.629, w2 = 3715.662, dw = -0.04846, nw = 1651 140605.0031.ec.fits: ap = 100, w1 = 3770.665, w2 = 3691.227, dw = -0.04814, nw = 1651 140605.0031.ec.fits: ap = 101, w1 = 3746.027, w2 = 3667.112, dw = -0.04783, nw = 1651 140605.0031.ec.fits: ap = 102, w1 = 3721.709, w2 = 3643.31, dw = -0.04751, nw = 1651 140605.0031.ec.fits: ap = 103, w1 = 3697.705, w2 = 3619.815, dw = -0.04721, nw = 1651 140605.0031.ec.fits: ap = 104, w1 = 3674.009, w2 = 3596.621, dw = -0.0469, nw = 1651 140605.0031.ec.fits: ap = 105, w1 = 3650.614, w2 = 3573.724, dw = -0.0466, nw = 1651 140605.0031.ec.fits: ap = 106, w1 = 3627.516, w2 = 3551.116, dw = -0.0463, nw = 1651 140605.0031.ec.fits: ap = 107, w1 = 3604.708, w2 = 3528.792, dw = -0.04601, nw = 1651 140605.0031.ec.fits: ap = 108, w1 = 3582.185, w2 = 3506.748, dw = -0.04572, nw = 1651 140605.0031.ec.fits: ap = 109, w1 = 3559.942, w2 = 3484.978, dw = -0.04543, nw = 1651 140605.0031.ec.fits: ap = 110, w1 = 3537.973, w2 = 3463.476, dw = -0.04515, nw = 1651 140605.0031.ec.fits: ap = 111, w1 = 3516.274, w2 = 3442.239, dw = -0.04487, nw = 1651 140605.0031.ec.fits: ap = 112, w1 = 3494.839, w2 = 3421.26, dw = -0.04459, nw = 1651 140605.0031.ec.fits: ap = 113, w1 = 3473.664, w2 = 3400.537, dw = -0.04432, nw = 1651 140605.0031.ec.fits: ap = 114, w1 = 3452.744, w2 = 3380.062, dw = -0.04405, nw = 1651 140605.0031.ec.fits: ap = 115, w1 = 3432.074, w2 = 3359.834, dw = -0.04378, nw = 1651 140605.0032.ec.fits: REFSPEC1 = 'EchelleThAr.0029.ec 0.37826598' 140605.0032.ec.fits: REFSPEC2 = 'EchelleThAr.0034.ec 0.62173402' 140605.0032.ec.fits: ap = 1, w1 = 10812.27, w2 = 10584.14, dw = -0.13826, nw = 1651 140605.0032.ec.fits: ap = 2, w1 = 10612.06, w2 = 10388.16, dw = -0.1357, nw = 1651 140605.0032.ec.fits: ap = 3, w1 = 10419.14, w2 = 10199.3, dw = -0.13324, nw = 1651 140605.0032.ec.fits: ap = 4, w1 = 10233.1, w2 = 10017.18, dw = -0.13086, nw = 1651 140605.0032.ec.fits: ap = 5, w1 = 10053.59, w2 = 9841.459, dw = -0.12856, nw = 1651 140605.0032.ec.fits: ap = 6, w1 = 9880.266, w2 = 9671.793, dw = -0.12635, nw = 1651 140605.0032.ec.fits: ap = 7, w1 = 9712.82, w2 = 9507.879, dw = -0.12421, nw = 1651 140605.0032.ec.fits: ap = 8, w1 = 9550.956, w2 = 9349.429, dw = -0.12214, nw = 1651 140605.0032.ec.fits: ap = 9, w1 = 9394.397, w2 = 9196.174, dw = -0.12014, nw = 1651 140605.0032.ec.fits: ap = 10, w1 = 9242.889, w2 = 9047.863, dw = -0.1182, nw = 1651 140605.0032.ec.fits: ap = 11, w1 = 9096.191, w2 = 8904.26, dw = -0.11632, nw = 1651 140605.0032.ec.fits: ap = 12, w1 = 8954.076, w2 = 8765.145, dw = -0.1145, nw = 1651 140605.0032.ec.fits: ap = 13, w1 = 8816.334, w2 = 8630.309, dw = -0.11274, nw = 1651 140605.0032.ec.fits: ap = 14, w1 = 8682.765, w2 = 8499.56, dw = -0.11103, nw = 1651 140605.0032.ec.fits: ap = 15, w1 = 8553.184, w2 = 8372.714, dw = -0.10938, nw = 1651 140605.0032.ec.fits: ap = 16, w1 = 8427.413, w2 = 8249.599, dw = -0.10777, nw = 1651 140605.0032.ec.fits: ap = 17, w1 = 8305.288, w2 = 8130.053, dw = -0.1062, nw = 1651 140605.0032.ec.fits: ap = 18, w1 = 8186.653, w2 = 8013.921, dw = -0.10469, nw = 1651 140605.0032.ec.fits: ap = 19, w1 = 8071.358, w2 = 7901.062, dw = -0.10321, nw = 1651 140605.0032.ec.fits: ap = 20, w1 = 7959.267, w2 = 7791.337, dw = -0.10178, nw = 1651 140605.0032.ec.fits: ap = 21, w1 = 7850.246, w2 = 7684.618, dw = -0.10038, nw = 1651 140605.0032.ec.fits: ap = 22, w1 = 7744.172, w2 = 7580.784, dw = -0.09902, nw = 1651 140605.0032.ec.fits: ap = 23, w1 = 7640.926, w2 = 7479.719, dw = -0.0977, nw = 1651 140605.0032.ec.fits: ap = 24, w1 = 7540.397, w2 = 7381.313, dw = -0.09641, nw = 1651 140605.0032.ec.fits: ap = 25, w1 = 7442.479, w2 = 7285.463, dw = -0.09516, nw = 1651 140605.0032.ec.fits: ap = 26, w1 = 7347.072, w2 = 7192.071, dw = -0.09394, nw = 1651 140605.0032.ec.fits: ap = 27, w1 = 7254.08, w2 = 7101.044, dw = -0.09275, nw = 1651 140605.0032.ec.fits: ap = 28, w1 = 7163.413, w2 = 7012.292, dw = -0.09159, nw = 1651 140605.0032.ec.fits: ap = 29, w1 = 7074.985, w2 = 6925.732, dw = -0.09046, nw = 1651 140605.0032.ec.fits: ap = 30, w1 = 6988.713, w2 = 6841.282, dw = -0.08935, nw = 1651 140605.0032.ec.fits: ap = 31, w1 = 6904.521, w2 = 6758.868, dw = -0.08827, nw = 1651 140605.0032.ec.fits: ap = 32, w1 = 6822.333, w2 = 6678.416, dw = -0.08722, nw = 1651 140605.0032.ec.fits: ap = 33, w1 = 6742.078, w2 = 6599.857, dw = -0.08619, nw = 1651 140605.0032.ec.fits: ap = 34, w1 = 6663.691, w2 = 6523.126, dw = -0.08519, nw = 1651 140605.0032.ec.fits: ap = 35, w1 = 6587.105, w2 = 6448.158, dw = -0.08421, nw = 1651 140605.0032.ec.fits: ap = 36, w1 = 6512.26, w2 = 6374.894, dw = -0.08325, nw = 1651 140605.0032.ec.fits: ap = 37, w1 = 6439.096, w2 = 6303.276, dw = -0.08232, nw = 1651 140605.0032.ec.fits: ap = 38, w1 = 6367.559, w2 = 6233.25, dw = -0.0814, nw = 1651 140605.0032.ec.fits: ap = 39, w1 = 6297.594, w2 = 6164.763, dw = -0.0805, nw = 1651 140605.0032.ec.fits: ap = 40, w1 = 6229.15, w2 = 6097.765, dw = -0.07963, nw = 1651 140605.0032.ec.fits: ap = 41, w1 = 6162.178, w2 = 6032.208, dw = -0.07877, nw = 1651 140605.0032.ec.fits: ap = 42, w1 = 6096.631, w2 = 5968.045, dw = -0.07793, nw = 1651 140605.0032.ec.fits: ap = 43, w1 = 6032.464, w2 = 5905.234, dw = -0.07711, nw = 1651 140605.0032.ec.fits: ap = 44, w1 = 5969.634, w2 = 5843.731, dw = -0.0763, nw = 1651 140605.0032.ec.fits: ap = 45, w1 = 5908.099, w2 = 5783.496, dw = -0.07552, nw = 1651 140605.0032.ec.fits: ap = 46, w1 = 5847.821, w2 = 5724.491, dw = -0.07475, nw = 1651 140605.0032.ec.fits: ap = 47, w1 = 5788.76, w2 = 5666.678, dw = -0.07399, nw = 1651 140605.0032.ec.fits: ap = 48, w1 = 5730.88, w2 = 5610.021, dw = -0.07325, nw = 1651 140605.0032.ec.fits: ap = 49, w1 = 5674.147, w2 = 5554.486, dw = -0.07252, nw = 1651 140605.0032.ec.fits: ap = 50, w1 = 5618.526, w2 = 5500.04, dw = -0.07181, nw = 1651 140605.0032.ec.fits: ap = 51, w1 = 5563.985, w2 = 5446.651, dw = -0.07111, nw = 1651 140605.0032.ec.fits: ap = 52, w1 = 5510.493, w2 = 5394.289, dw = -0.07043, nw = 1651 140605.0032.ec.fits: ap = 53, w1 = 5458.02, w2 = 5342.924, dw = -0.06976, nw = 1651 140605.0032.ec.fits: ap = 54, w1 = 5406.537, w2 = 5292.529, dw = -0.0691, nw = 1651 140605.0032.ec.fits: ap = 55, w1 = 5356.017, w2 = 5243.076, dw = -0.06845, nw = 1651 140605.0032.ec.fits: ap = 56, w1 = 5306.432, w2 = 5194.538, dw = -0.06781, nw = 1651 140605.0032.ec.fits: ap = 57, w1 = 5257.758, w2 = 5146.892, dw = -0.06719, nw = 1651 140605.0032.ec.fits: ap = 58, w1 = 5209.968, w2 = 5100.111, dw = -0.06658, nw = 1651 140605.0032.ec.fits: ap = 59, w1 = 5163.039, w2 = 5054.174, dw = -0.06598, nw = 1651 140605.0032.ec.fits: ap = 60, w1 = 5116.949, w2 = 5009.057, dw = -0.06539, nw = 1651 140605.0032.ec.fits: ap = 61, w1 = 5071.674, w2 = 4964.739, dw = -0.06481, nw = 1651 140605.0032.ec.fits: ap = 62, w1 = 5027.194, w2 = 4921.198, dw = -0.06424, nw = 1651 140605.0032.ec.fits: ap = 63, w1 = 4983.488, w2 = 4878.414, dw = -0.06368, nw = 1651 140605.0032.ec.fits: ap = 64, w1 = 4940.535, w2 = 4836.369, dw = -0.06313, nw = 1651 140605.0032.ec.fits: ap = 65, w1 = 4898.316, w2 = 4795.042, dw = -0.06259, nw = 1651 140605.0032.ec.fits: ap = 66, w1 = 4856.813, w2 = 4754.415, dw = -0.06206, nw = 1651 140605.0032.ec.fits: ap = 67, w1 = 4816.008, w2 = 4714.472, dw = -0.06154, nw = 1651 140605.0032.ec.fits: ap = 68, w1 = 4775.883, w2 = 4675.194, dw = -0.06102, nw = 1651 140605.0032.ec.fits: ap = 69, w1 = 4736.421, w2 = 4636.566, dw = -0.06052, nw = 1651 140605.0032.ec.fits: ap = 70, w1 = 4697.606, w2 = 4598.571, dw = -0.06002, nw = 1651 140605.0032.ec.fits: ap = 71, w1 = 4659.422, w2 = 4561.194, dw = -0.05953, nw = 1651 140605.0032.ec.fits: ap = 72, w1 = 4621.854, w2 = 4524.419, dw = -0.05905, nw = 1651 140605.0032.ec.fits: ap = 73, w1 = 4584.888, w2 = 4488.234, dw = -0.05858, nw = 1651 140605.0032.ec.fits: ap = 74, w1 = 4548.508, w2 = 4452.622, dw = -0.05811, nw = 1651 140605.0032.ec.fits: ap = 75, w1 = 4512.701, w2 = 4417.572, dw = -0.05765, nw = 1651 140605.0032.ec.fits: ap = 76, w1 = 4477.454, w2 = 4383.069, dw = -0.0572, nw = 1651 140605.0032.ec.fits: ap = 77, w1 = 4442.753, w2 = 4349.102, dw = -0.05676, nw = 1651 140605.0032.ec.fits: ap = 78, w1 = 4408.586, w2 = 4315.657, dw = -0.05632, nw = 1651 140605.0032.ec.fits: ap = 79, w1 = 4374.941, w2 = 4282.723, dw = -0.05589, nw = 1651 140605.0032.ec.fits: ap = 80, w1 = 4341.806, w2 = 4250.288, dw = -0.05547, nw = 1651 140605.0032.ec.fits: ap = 81, w1 = 4309.168, w2 = 4218.34, dw = -0.05505, nw = 1651 140605.0032.ec.fits: ap = 82, w1 = 4277.018, w2 = 4186.87, dw = -0.05464, nw = 1651 140605.0032.ec.fits: ap = 83, w1 = 4245.345, w2 = 4155.866, dw = -0.05423, nw = 1651 140605.0032.ec.fits: ap = 84, w1 = 4214.137, w2 = 4125.318, dw = -0.05383, nw = 1651 140605.0032.ec.fits: ap = 85, w1 = 4183.385, w2 = 4095.216, dw = -0.05344, nw = 1651 140605.0032.ec.fits: ap = 86, w1 = 4153.078, w2 = 4065.551, dw = -0.05305, nw = 1651 140605.0032.ec.fits: ap = 87, w1 = 4123.208, w2 = 4036.312, dw = -0.05266, nw = 1651 140605.0032.ec.fits: ap = 88, w1 = 4093.764, w2 = 4007.491, dw = -0.05229, nw = 1651 140605.0032.ec.fits: ap = 89, w1 = 4064.738, w2 = 3979.08, dw = -0.05191, nw = 1651 140605.0032.ec.fits: ap = 90, w1 = 4036.12, w2 = 3951.068, dw = -0.05155, nw = 1651 140605.0032.ec.fits: ap = 91, w1 = 4007.903, w2 = 3923.448, dw = -0.05119, nw = 1651 140605.0032.ec.fits: ap = 92, w1 = 3980.078, w2 = 3896.212, dw = -0.05083, nw = 1651 140605.0032.ec.fits: ap = 93, w1 = 3952.637, w2 = 3869.352, dw = -0.05048, nw = 1651 140605.0032.ec.fits: ap = 94, w1 = 3925.571, w2 = 3842.86, dw = -0.05013, nw = 1651 140605.0032.ec.fits: ap = 95, w1 = 3898.874, w2 = 3816.728, dw = -0.04979, nw = 1651 140605.0032.ec.fits: ap = 96, w1 = 3872.537, w2 = 3790.95, dw = -0.04945, nw = 1651 140605.0032.ec.fits: ap = 97, w1 = 3846.554, w2 = 3765.517, dw = -0.04911, nw = 1651 140605.0032.ec.fits: ap = 98, w1 = 3820.917, w2 = 3740.424, dw = -0.04878, nw = 1651 140605.0032.ec.fits: ap = 99, w1 = 3795.62, w2 = 3715.664, dw = -0.04846, nw = 1651 140605.0032.ec.fits: ap = 100, w1 = 3770.655, w2 = 3691.229, dw = -0.04814, nw = 1651 140605.0032.ec.fits: ap = 101, w1 = 3746.017, w2 = 3667.114, dw = -0.04782, nw = 1651 140605.0032.ec.fits: ap = 102, w1 = 3721.699, w2 = 3643.312, dw = -0.04751, nw = 1651 140605.0032.ec.fits: ap = 103, w1 = 3697.694, w2 = 3619.818, dw = -0.0472, nw = 1651 140605.0032.ec.fits: ap = 104, w1 = 3673.997, w2 = 3596.625, dw = -0.04689, nw = 1651 140605.0032.ec.fits: ap = 105, w1 = 3650.602, w2 = 3573.727, dw = -0.04659, nw = 1651 140605.0032.ec.fits: ap = 106, w1 = 3627.503, w2 = 3551.119, dw = -0.04629, nw = 1651 140605.0032.ec.fits: ap = 107, w1 = 3604.694, w2 = 3528.796, dw = -0.046, nw = 1651 140605.0032.ec.fits: ap = 108, w1 = 3582.171, w2 = 3506.752, dw = -0.04571, nw = 1651 140605.0032.ec.fits: ap = 109, w1 = 3559.927, w2 = 3484.982, dw = -0.04542, nw = 1651 140605.0032.ec.fits: ap = 110, w1 = 3537.957, w2 = 3463.481, dw = -0.04514, nw = 1651 140605.0032.ec.fits: ap = 111, w1 = 3516.257, w2 = 3442.244, dw = -0.04486, nw = 1651 140605.0032.ec.fits: ap = 112, w1 = 3494.821, w2 = 3421.266, dw = -0.04458, nw = 1651 140605.0032.ec.fits: ap = 113, w1 = 3473.645, w2 = 3400.542, dw = -0.04431, nw = 1651 140605.0032.ec.fits: ap = 114, w1 = 3452.725, w2 = 3380.068, dw = -0.04403, nw = 1651 140605.0032.ec.fits: ap = 115, w1 = 3432.054, w2 = 3359.84, dw = -0.04377, nw = 1651 140605.0033.ec.fits: REFSPEC1 = 'EchelleThAr.0029.ec 0.12885763' 140605.0033.ec.fits: REFSPEC2 = 'EchelleThAr.0034.ec 0.87114239' 140605.0033.ec.fits: ap = 1, w1 = 10812.27, w2 = 10584.15, dw = -0.13826, nw = 1651 140605.0033.ec.fits: ap = 2, w1 = 10612.06, w2 = 10388.16, dw = -0.1357, nw = 1651 140605.0033.ec.fits: ap = 3, w1 = 10419.13, w2 = 10199.3, dw = -0.13323, nw = 1651 140605.0033.ec.fits: ap = 4, w1 = 10233.1, w2 = 10017.19, dw = -0.13085, nw = 1651 140605.0033.ec.fits: ap = 5, w1 = 10053.59, w2 = 9841.461, dw = -0.12856, nw = 1651 140605.0033.ec.fits: ap = 6, w1 = 9880.265, w2 = 9671.796, dw = -0.12635, nw = 1651 140605.0033.ec.fits: ap = 7, w1 = 9712.819, w2 = 9507.882, dw = -0.1242, nw = 1651 140605.0033.ec.fits: ap = 8, w1 = 9550.954, w2 = 9349.431, dw = -0.12214, nw = 1651 140605.0033.ec.fits: ap = 9, w1 = 9394.396, w2 = 9196.176, dw = -0.12013, nw = 1651 140605.0033.ec.fits: ap = 10, w1 = 9242.888, w2 = 9047.865, dw = -0.1182, nw = 1651 140605.0033.ec.fits: ap = 11, w1 = 9096.189, w2 = 8904.262, dw = -0.11632, nw = 1651 140605.0033.ec.fits: ap = 12, w1 = 8954.075, w2 = 8765.146, dw = -0.1145, nw = 1651 140605.0033.ec.fits: ap = 13, w1 = 8816.333, w2 = 8630.311, dw = -0.11274, nw = 1651 140605.0033.ec.fits: ap = 14, w1 = 8682.764, w2 = 8499.562, dw = -0.11103, nw = 1651 140605.0033.ec.fits: ap = 15, w1 = 8553.183, w2 = 8372.716, dw = -0.10937, nw = 1651 140605.0033.ec.fits: ap = 16, w1 = 8427.413, w2 = 8249.6, dw = -0.10776, nw = 1651 140605.0033.ec.fits: ap = 17, w1 = 8305.288, w2 = 8130.054, dw = -0.1062, nw = 1651 140605.0033.ec.fits: ap = 18, w1 = 8186.652, w2 = 8013.922, dw = -0.10468, nw = 1651 140605.0033.ec.fits: ap = 19, w1 = 8071.357, w2 = 7901.063, dw = -0.10321, nw = 1651 140605.0033.ec.fits: ap = 20, w1 = 7959.266, w2 = 7791.338, dw = -0.10177, nw = 1651 140605.0033.ec.fits: ap = 21, w1 = 7850.245, w2 = 7684.619, dw = -0.10038, nw = 1651 140605.0033.ec.fits: ap = 22, w1 = 7744.171, w2 = 7580.785, dw = -0.09902, nw = 1651 140605.0033.ec.fits: ap = 23, w1 = 7640.925, w2 = 7479.719, dw = -0.0977, nw = 1651 140605.0033.ec.fits: ap = 24, w1 = 7540.396, w2 = 7381.314, dw = -0.09641, nw = 1651 140605.0033.ec.fits: ap = 25, w1 = 7442.478, w2 = 7285.464, dw = -0.09516, nw = 1651 140605.0033.ec.fits: ap = 26, w1 = 7347.071, w2 = 7192.072, dw = -0.09394, nw = 1651 140605.0033.ec.fits: ap = 27, w1 = 7254.079, w2 = 7101.044, dw = -0.09275, nw = 1651 140605.0033.ec.fits: ap = 28, w1 = 7163.412, w2 = 7012.292, dw = -0.09159, nw = 1651 140605.0033.ec.fits: ap = 29, w1 = 7074.984, w2 = 6925.732, dw = -0.09046, nw = 1651 140605.0033.ec.fits: ap = 30, w1 = 6988.712, w2 = 6841.283, dw = -0.08935, nw = 1651 140605.0033.ec.fits: ap = 31, w1 = 6904.52, w2 = 6758.868, dw = -0.08827, nw = 1651 140605.0033.ec.fits: ap = 32, w1 = 6822.332, w2 = 6678.416, dw = -0.08722, nw = 1651 140605.0033.ec.fits: ap = 33, w1 = 6742.077, w2 = 6599.857, dw = -0.08619, nw = 1651 140605.0033.ec.fits: ap = 34, w1 = 6663.69, w2 = 6523.126, dw = -0.08519, nw = 1651 140605.0033.ec.fits: ap = 35, w1 = 6587.104, w2 = 6448.158, dw = -0.08421, nw = 1651 140605.0033.ec.fits: ap = 36, w1 = 6512.259, w2 = 6374.894, dw = -0.08325, nw = 1651 140605.0033.ec.fits: ap = 37, w1 = 6439.095, w2 = 6303.276, dw = -0.08231, nw = 1651 140605.0033.ec.fits: ap = 38, w1 = 6367.558, w2 = 6233.25, dw = -0.0814, nw = 1651 140605.0033.ec.fits: ap = 39, w1 = 6297.593, w2 = 6164.763, dw = -0.0805, nw = 1651 140605.0033.ec.fits: ap = 40, w1 = 6229.149, w2 = 6097.765, dw = -0.07963, nw = 1651 140605.0033.ec.fits: ap = 41, w1 = 6162.177, w2 = 6032.207, dw = -0.07877, nw = 1651 140605.0033.ec.fits: ap = 42, w1 = 6096.63, w2 = 5968.045, dw = -0.07793, nw = 1651 140605.0033.ec.fits: ap = 43, w1 = 6032.463, w2 = 5905.234, dw = -0.07711, nw = 1651 140605.0033.ec.fits: ap = 44, w1 = 5969.633, w2 = 5843.731, dw = -0.0763, nw = 1651 140605.0033.ec.fits: ap = 45, w1 = 5908.099, w2 = 5783.496, dw = -0.07552, nw = 1651 140605.0033.ec.fits: ap = 46, w1 = 5847.82, w2 = 5724.491, dw = -0.07475, nw = 1651 140605.0033.ec.fits: ap = 47, w1 = 5788.759, w2 = 5666.677, dw = -0.07399, nw = 1651 140605.0033.ec.fits: ap = 48, w1 = 5730.879, w2 = 5610.02, dw = -0.07325, nw = 1651 140605.0033.ec.fits: ap = 49, w1 = 5674.146, w2 = 5554.485, dw = -0.07252, nw = 1651 140605.0033.ec.fits: ap = 50, w1 = 5618.525, w2 = 5500.039, dw = -0.07181, nw = 1651 140605.0033.ec.fits: ap = 51, w1 = 5563.984, w2 = 5446.651, dw = -0.07111, nw = 1651 140605.0033.ec.fits: ap = 52, w1 = 5510.493, w2 = 5394.289, dw = -0.07043, nw = 1651 140605.0033.ec.fits: ap = 53, w1 = 5458.02, w2 = 5342.924, dw = -0.06976, nw = 1651 140605.0033.ec.fits: ap = 54, w1 = 5406.537, w2 = 5292.529, dw = -0.0691, nw = 1651 140605.0033.ec.fits: ap = 55, w1 = 5356.017, w2 = 5243.075, dw = -0.06845, nw = 1651 140605.0033.ec.fits: ap = 56, w1 = 5306.432, w2 = 5194.538, dw = -0.06781, nw = 1651 140605.0033.ec.fits: ap = 57, w1 = 5257.757, w2 = 5146.891, dw = -0.06719, nw = 1651 140605.0033.ec.fits: ap = 58, w1 = 5209.968, w2 = 5100.111, dw = -0.06658, nw = 1651 140605.0033.ec.fits: ap = 59, w1 = 5163.039, w2 = 5054.173, dw = -0.06598, nw = 1651 140605.0033.ec.fits: ap = 60, w1 = 5116.949, w2 = 5009.056, dw = -0.06539, nw = 1651 140605.0033.ec.fits: ap = 61, w1 = 5071.674, w2 = 4964.738, dw = -0.06481, nw = 1651 140605.0033.ec.fits: ap = 62, w1 = 5027.194, w2 = 4921.197, dw = -0.06424, nw = 1651 140605.0033.ec.fits: ap = 63, w1 = 4983.487, w2 = 4878.414, dw = -0.06368, nw = 1651 140605.0033.ec.fits: ap = 64, w1 = 4940.534, w2 = 4836.368, dw = -0.06313, nw = 1651 140605.0033.ec.fits: ap = 65, w1 = 4898.316, w2 = 4795.041, dw = -0.06259, nw = 1651 140605.0033.ec.fits: ap = 66, w1 = 4856.813, w2 = 4754.415, dw = -0.06206, nw = 1651 140605.0033.ec.fits: ap = 67, w1 = 4816.007, w2 = 4714.471, dw = -0.06154, nw = 1651 140605.0033.ec.fits: ap = 68, w1 = 4775.882, w2 = 4675.194, dw = -0.06102, nw = 1651 140605.0033.ec.fits: ap = 69, w1 = 4736.42, w2 = 4636.565, dw = -0.06052, nw = 1651 140605.0033.ec.fits: ap = 70, w1 = 4697.605, w2 = 4598.57, dw = -0.06002, nw = 1651 140605.0033.ec.fits: ap = 71, w1 = 4659.421, w2 = 4561.193, dw = -0.05953, nw = 1651 140605.0033.ec.fits: ap = 72, w1 = 4621.853, w2 = 4524.419, dw = -0.05905, nw = 1651 140605.0033.ec.fits: ap = 73, w1 = 4584.887, w2 = 4488.233, dw = -0.05858, nw = 1651 140605.0033.ec.fits: ap = 74, w1 = 4548.507, w2 = 4452.622, dw = -0.05811, nw = 1651 140605.0033.ec.fits: ap = 75, w1 = 4512.7, w2 = 4417.572, dw = -0.05765, nw = 1651 140605.0033.ec.fits: ap = 76, w1 = 4477.452, w2 = 4383.069, dw = -0.0572, nw = 1651 140605.0033.ec.fits: ap = 77, w1 = 4442.751, w2 = 4349.101, dw = -0.05676, nw = 1651 140605.0033.ec.fits: ap = 78, w1 = 4408.584, w2 = 4315.657, dw = -0.05632, nw = 1651 140605.0033.ec.fits: ap = 79, w1 = 4374.939, w2 = 4282.722, dw = -0.05589, nw = 1651 140605.0033.ec.fits: ap = 80, w1 = 4341.803, w2 = 4250.287, dw = -0.05546, nw = 1651 140605.0033.ec.fits: ap = 81, w1 = 4309.166, w2 = 4218.34, dw = -0.05505, nw = 1651 140605.0033.ec.fits: ap = 82, w1 = 4277.016, w2 = 4186.87, dw = -0.05463, nw = 1651 140605.0033.ec.fits: ap = 83, w1 = 4245.342, w2 = 4155.866, dw = -0.05423, nw = 1651 140605.0033.ec.fits: ap = 84, w1 = 4214.134, w2 = 4125.318, dw = -0.05383, nw = 1651 140605.0033.ec.fits: ap = 85, w1 = 4183.382, w2 = 4095.216, dw = -0.05343, nw = 1651 140605.0033.ec.fits: ap = 86, w1 = 4153.075, w2 = 4065.551, dw = -0.05304, nw = 1651 140605.0033.ec.fits: ap = 87, w1 = 4123.204, w2 = 4036.312, dw = -0.05266, nw = 1651 140605.0033.ec.fits: ap = 88, w1 = 4093.76, w2 = 4007.492, dw = -0.05228, nw = 1651 140605.0033.ec.fits: ap = 89, w1 = 4064.734, w2 = 3979.08, dw = -0.05191, nw = 1651 140605.0033.ec.fits: ap = 90, w1 = 4036.116, w2 = 3951.068, dw = -0.05154, nw = 1651 140605.0033.ec.fits: ap = 91, w1 = 4007.898, w2 = 3923.449, dw = -0.05118, nw = 1651 140605.0033.ec.fits: ap = 92, w1 = 3980.073, w2 = 3896.213, dw = -0.05082, nw = 1651 140605.0033.ec.fits: ap = 93, w1 = 3952.631, w2 = 3869.353, dw = -0.05047, nw = 1651 140605.0033.ec.fits: ap = 94, w1 = 3925.565, w2 = 3842.861, dw = -0.05012, nw = 1651 140605.0033.ec.fits: ap = 95, w1 = 3898.867, w2 = 3816.729, dw = -0.04978, nw = 1651 140605.0033.ec.fits: ap = 96, w1 = 3872.53, w2 = 3790.951, dw = -0.04944, nw = 1651 140605.0033.ec.fits: ap = 97, w1 = 3846.547, w2 = 3765.519, dw = -0.04911, nw = 1651 140605.0033.ec.fits: ap = 98, w1 = 3820.91, w2 = 3740.426, dw = -0.04878, nw = 1651 140605.0033.ec.fits: ap = 99, w1 = 3795.612, w2 = 3715.666, dw = -0.04845, nw = 1651 140605.0033.ec.fits: ap = 100, w1 = 3770.647, w2 = 3691.231, dw = -0.04813, nw = 1651 140605.0033.ec.fits: ap = 101, w1 = 3746.008, w2 = 3667.116, dw = -0.04781, nw = 1651 140605.0033.ec.fits: ap = 102, w1 = 3721.689, w2 = 3643.315, dw = -0.0475, nw = 1651 140605.0033.ec.fits: ap = 103, w1 = 3697.684, w2 = 3619.82, dw = -0.04719, nw = 1651 140605.0033.ec.fits: ap = 104, w1 = 3673.987, w2 = 3596.627, dw = -0.04688, nw = 1651 140605.0033.ec.fits: ap = 105, w1 = 3650.591, w2 = 3573.73, dw = -0.04658, nw = 1651 140605.0033.ec.fits: ap = 106, w1 = 3627.491, w2 = 3551.123, dw = -0.04628, nw = 1651 140605.0033.ec.fits: ap = 107, w1 = 3604.682, w2 = 3528.8, dw = -0.04599, nw = 1651 140605.0033.ec.fits: ap = 108, w1 = 3582.157, w2 = 3506.756, dw = -0.0457, nw = 1651 140605.0033.ec.fits: ap = 109, w1 = 3559.913, w2 = 3484.986, dw = -0.04541, nw = 1651 140605.0033.ec.fits: ap = 110, w1 = 3537.942, w2 = 3463.485, dw = -0.04513, nw = 1651 140605.0033.ec.fits: ap = 111, w1 = 3516.241, w2 = 3442.248, dw = -0.04484, nw = 1651 140605.0033.ec.fits: ap = 112, w1 = 3494.805, w2 = 3421.27, dw = -0.04457, nw = 1651 140605.0033.ec.fits: ap = 113, w1 = 3473.628, w2 = 3400.547, dw = -0.04429, nw = 1651 140605.0033.ec.fits: ap = 114, w1 = 3452.707, w2 = 3380.074, dw = -0.04402, nw = 1651 140605.0033.ec.fits: ap = 115, w1 = 3432.035, w2 = 3359.845, dw = -0.04375, nw = 1651 EchelleThAr.0017.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' zEchelleThAr.0017.ec.fits: ap = 1, w1 = 10812.38, w2 = 10584.27, dw = -0.13825, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 2, w1 = 10612.17, w2 = 10388.28, dw = -0.13569, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 3, w1 = 10419.23, w2 = 10199.42, dw = -0.13322, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 4, w1 = 10233.19, w2 = 10017.3, dw = -0.13084, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 5, w1 = 10053.68, w2 = 9841.576, dw = -0.12855, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 6, w1 = 9880.354, w2 = 9671.909, dw = -0.12633, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 7, w1 = 9712.905, w2 = 9507.994, dw = -0.12419, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 8, w1 = 9551.037, w2 = 9349.542, dw = -0.12212, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 9, w1 = 9394.477, w2 = 9196.285, dw = -0.12012, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 10, w1 = 9242.967, w2 = 9047.972, dw = -0.11818, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 11, w1 = 9096.267, w2 = 8904.367, dw = -0.1163, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 12, w1 = 8954.151, w2 = 8765.25, dw = -0.11449, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 13, w1 = 8816.408, w2 = 8630.414, dw = -0.11272, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 14, w1 = 8682.839, w2 = 8499.663, dw = -0.11102, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 15, w1 = 8553.257, w2 = 8372.815, dw = -0.10936, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 16, w1 = 8427.486, w2 = 8249.698, dw = -0.10775, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 17, w1 = 8305.36, w2 = 8130.149, dw = -0.10619, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 18, w1 = 8186.724, w2 = 8014.016, dw = -0.10467, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 19, w1 = 8071.43, w2 = 7901.155, dw = -0.1032, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 20, w1 = 7959.338, w2 = 7791.428, dw = -0.10176, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 21, w1 = 7850.317, w2 = 7684.708, dw = -0.10037, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 22, w1 = 7744.243, w2 = 7580.872, dw = -0.09901, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 23, w1 = 7640.997, w2 = 7479.805, dw = -0.09769, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 24, w1 = 7540.469, w2 = 7381.398, dw = -0.09641, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 25, w1 = 7442.551, w2 = 7285.546, dw = -0.09515, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 26, w1 = 7347.144, w2 = 7192.153, dw = -0.09393, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 27, w1 = 7254.153, w2 = 7101.124, dw = -0.09274, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 28, w1 = 7163.486, w2 = 7012.37, dw = -0.09159, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 29, w1 = 7075.058, w2 = 6925.808, dw = -0.09045, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 30, w1 = 6988.786, w2 = 6841.358, dw = -0.08935, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 31, w1 = 6904.594, w2 = 6758.942, dw = -0.08827, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 32, w1 = 6822.406, w2 = 6678.489, dw = -0.08722, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 33, w1 = 6742.152, w2 = 6599.929, dw = -0.0862, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 34, w1 = 6663.764, w2 = 6523.196, dw = -0.08519, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 35, w1 = 6587.178, w2 = 6448.227, dw = -0.08421, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 36, w1 = 6512.333, w2 = 6374.962, dw = -0.08326, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 37, w1 = 6439.17, w2 = 6303.343, dw = -0.08232, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 38, w1 = 6367.633, w2 = 6233.316, dw = -0.0814, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 39, w1 = 6297.668, w2 = 6164.828, dw = -0.08051, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 40, w1 = 6229.224, w2 = 6097.829, dw = -0.07963, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 41, w1 = 6162.252, w2 = 6032.271, dw = -0.07878, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 42, w1 = 6096.705, w2 = 5968.108, dw = -0.07794, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 43, w1 = 6032.538, w2 = 5905.296, dw = -0.07712, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 44, w1 = 5969.708, w2 = 5843.792, dw = -0.07631, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 45, w1 = 5908.173, w2 = 5783.557, dw = -0.07553, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 46, w1 = 5847.894, w2 = 5724.551, dw = -0.07475, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 47, w1 = 5788.833, w2 = 5666.737, dw = -0.074, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 48, w1 = 5730.954, w2 = 5610.08, dw = -0.07326, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 49, w1 = 5674.22, w2 = 5554.545, dw = -0.07253, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 50, w1 = 5618.6, w2 = 5500.098, dw = -0.07182, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 51, w1 = 5564.059, w2 = 5446.709, dw = -0.07112, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 52, w1 = 5510.567, w2 = 5394.347, dw = -0.07044, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 53, w1 = 5458.094, w2 = 5342.982, dw = -0.06976, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 54, w1 = 5406.611, w2 = 5292.587, dw = -0.06911, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 55, w1 = 5356.091, w2 = 5243.134, dw = -0.06846, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 56, w1 = 5306.506, w2 = 5194.596, dw = -0.06782, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 57, w1 = 5257.832, w2 = 5146.95, dw = -0.0672, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 58, w1 = 5210.042, w2 = 5100.17, dw = -0.06659, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 59, w1 = 5163.114, w2 = 5054.232, dw = -0.06599, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 60, w1 = 5117.024, w2 = 5009.116, dw = -0.0654, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 61, w1 = 5071.749, w2 = 4964.798, dw = -0.06482, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 62, w1 = 5027.27, w2 = 4921.257, dw = -0.06425, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 63, w1 = 4983.563, w2 = 4878.474, dw = -0.06369, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 64, w1 = 4940.611, w2 = 4836.429, dw = -0.06314, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 65, w1 = 4898.393, w2 = 4795.102, dw = -0.0626, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 66, w1 = 4856.891, w2 = 4754.476, dw = -0.06207, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 67, w1 = 4816.086, w2 = 4714.534, dw = -0.06155, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 68, w1 = 4775.962, w2 = 4675.256, dw = -0.06103, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 69, w1 = 4736.501, w2 = 4636.629, dw = -0.06053, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 70, w1 = 4697.687, w2 = 4598.634, dw = -0.06003, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 71, w1 = 4659.504, w2 = 4561.258, dw = -0.05954, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 72, w1 = 4621.938, w2 = 4524.485, dw = -0.05906, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 73, w1 = 4584.973, w2 = 4488.3, dw = -0.05859, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 74, w1 = 4548.595, w2 = 4452.689, dw = -0.05812, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 75, w1 = 4512.789, w2 = 4417.64, dw = -0.05767, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 76, w1 = 4477.544, w2 = 4383.138, dw = -0.05722, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 77, w1 = 4442.845, w2 = 4349.172, dw = -0.05677, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 78, w1 = 4408.681, w2 = 4315.728, dw = -0.05633, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 79, w1 = 4375.038, w2 = 4282.795, dw = -0.0559, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 80, w1 = 4341.905, w2 = 4250.361, dw = -0.05548, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 81, w1 = 4309.271, w2 = 4218.415, dw = -0.05506, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 82, w1 = 4277.124, w2 = 4186.946, dw = -0.05465, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 83, w1 = 4245.453, w2 = 4155.943, dw = -0.05425, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 84, w1 = 4214.249, w2 = 4125.396, dw = -0.05385, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 85, w1 = 4183.5, w2 = 4095.295, dw = -0.05346, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 86, w1 = 4153.197, w2 = 4065.631, dw = -0.05307, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 87, w1 = 4123.331, w2 = 4036.394, dw = -0.05269, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 88, w1 = 4093.891, w2 = 4007.575, dw = -0.05231, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 89, w1 = 4064.87, w2 = 3979.164, dw = -0.05194, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 90, w1 = 4036.257, w2 = 3951.154, dw = -0.05158, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 91, w1 = 4008.045, w2 = 3923.536, dw = -0.05122, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 92, w1 = 3980.225, w2 = 3896.301, dw = -0.05086, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 93, w1 = 3952.79, w2 = 3869.442, dw = -0.05051, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 94, w1 = 3925.73, w2 = 3842.952, dw = -0.05017, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 95, w1 = 3899.039, w2 = 3816.822, dw = -0.04983, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 96, w1 = 3872.709, w2 = 3791.045, dw = -0.04949, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 97, w1 = 3846.733, w2 = 3765.614, dw = -0.04916, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 98, w1 = 3821.103, w2 = 3740.523, dw = -0.04884, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 99, w1 = 3795.813, w2 = 3715.764, dw = -0.04851, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 100, w1 = 3770.857, w2 = 3691.331, dw = -0.0482, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 101, w1 = 3746.226, w2 = 3667.217, dw = -0.04788, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 102, w1 = 3721.917, w2 = 3643.417, dw = -0.04758, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 103, w1 = 3697.921, w2 = 3619.924, dw = -0.04727, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 104, w1 = 3674.233, w2 = 3596.733, dw = -0.04697, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 105, w1 = 3650.848, w2 = 3573.837, dw = -0.04667, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 106, w1 = 3627.759, w2 = 3551.231, dw = -0.04638, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 107, w1 = 3604.961, w2 = 3528.909, dw = -0.04609, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 108, w1 = 3582.448, w2 = 3506.867, dw = -0.04581, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 109, w1 = 3560.215, w2 = 3485.098, dw = -0.04553, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 110, w1 = 3538.257, w2 = 3463.599, dw = -0.04525, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 111, w1 = 3516.569, w2 = 3442.363, dw = -0.04497, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 112, w1 = 3495.146, w2 = 3421.387, dw = -0.0447, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 113, w1 = 3473.983, w2 = 3400.665, dw = -0.04444, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 114, w1 = 3453.076, w2 = 3380.193, dw = -0.04417, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 115, w1 = 3432.419, w2 = 3359.966, dw = -0.04391, nw = 1651 EchelleThAr.0018.ec.fits: REFSPEC1 = 'EchelleThAr.0018.ec 1.' zEchelleThAr.0018.ec.fits: ap = 1, w1 = 10812.45, w2 = 10584.25, dw = -0.1383, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 2, w1 = 10612.24, w2 = 10388.27, dw = -0.13574, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 3, w1 = 10419.3, w2 = 10199.41, dw = -0.13327, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 4, w1 = 10233.25, w2 = 10017.29, dw = -0.13088, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 5, w1 = 10053.73, w2 = 9841.567, dw = -0.12858, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 6, w1 = 9880.4, w2 = 9671.901, dw = -0.12636, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 7, w1 = 9712.947, w2 = 9507.986, dw = -0.12422, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 8, w1 = 9551.075, w2 = 9349.536, dw = -0.12215, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 9, w1 = 9394.511, w2 = 9196.28, dw = -0.12014, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 10, w1 = 9242.997, w2 = 9047.967, dw = -0.1182, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 11, w1 = 9096.294, w2 = 8904.363, dw = -0.11632, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 12, w1 = 8954.175, w2 = 8765.246, dw = -0.1145, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 13, w1 = 8816.429, w2 = 8630.41, dw = -0.11274, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 14, w1 = 8682.857, w2 = 8499.66, dw = -0.11103, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 15, w1 = 8553.272, w2 = 8372.812, dw = -0.10937, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 16, w1 = 8427.499, w2 = 8249.696, dw = -0.10776, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 17, w1 = 8305.372, w2 = 8130.147, dw = -0.1062, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 18, w1 = 8186.734, w2 = 8014.015, dw = -0.10468, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 19, w1 = 8071.438, w2 = 7901.154, dw = -0.1032, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 20, w1 = 7959.344, w2 = 7791.427, dw = -0.10177, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 21, w1 = 7850.322, w2 = 7684.707, dw = -0.10037, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 22, w1 = 7744.247, w2 = 7580.872, dw = -0.09902, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 23, w1 = 7641., w2 = 7479.805, dw = -0.09769, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 24, w1 = 7540.47, w2 = 7381.398, dw = -0.09641, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 25, w1 = 7442.552, w2 = 7285.547, dw = -0.09515, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 26, w1 = 7347.144, w2 = 7192.154, dw = -0.09393, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 27, w1 = 7254.152, w2 = 7101.125, dw = -0.09274, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 28, w1 = 7163.485, w2 = 7012.372, dw = -0.09158, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 29, w1 = 7075.056, w2 = 6925.81, dw = -0.09045, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 30, w1 = 6988.784, w2 = 6841.36, dw = -0.08935, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 31, w1 = 6904.592, w2 = 6758.944, dw = -0.08827, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 32, w1 = 6822.403, w2 = 6678.491, dw = -0.08722, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 33, w1 = 6742.149, w2 = 6599.932, dw = -0.08619, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 34, w1 = 6663.761, w2 = 6523.199, dw = -0.08519, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 35, w1 = 6587.176, w2 = 6448.23, dw = -0.08421, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 36, w1 = 6512.331, w2 = 6374.965, dw = -0.08325, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 37, w1 = 6439.168, w2 = 6303.347, dw = -0.08232, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 38, w1 = 6367.63, w2 = 6233.32, dw = -0.0814, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 39, w1 = 6297.665, w2 = 6164.832, dw = -0.08051, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 40, w1 = 6229.222, w2 = 6097.833, dw = -0.07963, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 41, w1 = 6162.25, w2 = 6032.275, dw = -0.07877, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 42, w1 = 6096.703, w2 = 5968.113, dw = -0.07793, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 43, w1 = 6032.536, w2 = 5905.301, dw = -0.07711, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 44, w1 = 5969.706, w2 = 5843.797, dw = -0.07631, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 45, w1 = 5908.171, w2 = 5783.562, dw = -0.07552, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 46, w1 = 5847.892, w2 = 5724.556, dw = -0.07475, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 47, w1 = 5788.831, w2 = 5666.743, dw = -0.07399, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 48, w1 = 5730.952, w2 = 5610.086, dw = -0.07325, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 49, w1 = 5674.218, w2 = 5554.55, dw = -0.07253, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 50, w1 = 5618.597, w2 = 5500.104, dw = -0.07181, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 51, w1 = 5564.056, w2 = 5446.715, dw = -0.07112, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 52, w1 = 5510.564, w2 = 5394.353, dw = -0.07043, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 53, w1 = 5458.091, w2 = 5342.989, dw = -0.06976, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 54, w1 = 5406.608, w2 = 5292.593, dw = -0.0691, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 55, w1 = 5356.087, w2 = 5243.14, dw = -0.06845, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 56, w1 = 5306.502, w2 = 5194.602, dw = -0.06782, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 57, w1 = 5257.827, w2 = 5146.956, dw = -0.06719, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 58, w1 = 5210.037, w2 = 5100.175, dw = -0.06658, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 59, w1 = 5163.108, w2 = 5054.238, dw = -0.06598, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 60, w1 = 5117.017, w2 = 5009.121, dw = -0.06539, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 61, w1 = 5071.742, w2 = 4964.802, dw = -0.06481, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 62, w1 = 5027.261, w2 = 4921.262, dw = -0.06424, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 63, w1 = 4983.553, w2 = 4878.478, dw = -0.06368, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 64, w1 = 4940.6, w2 = 4836.432, dw = -0.06313, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 65, w1 = 4898.38, w2 = 4795.105, dw = -0.06259, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 66, w1 = 4856.876, w2 = 4754.479, dw = -0.06206, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 67, w1 = 4816.07, w2 = 4714.535, dw = -0.06154, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 68, w1 = 4775.944, w2 = 4675.258, dw = -0.06102, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 69, w1 = 4736.481, w2 = 4636.629, dw = -0.06052, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 70, w1 = 4697.665, w2 = 4598.634, dw = -0.06002, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 71, w1 = 4659.48, w2 = 4561.257, dw = -0.05953, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 72, w1 = 4621.911, w2 = 4524.482, dw = -0.05905, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 73, w1 = 4584.944, w2 = 4488.296, dw = -0.05857, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 74, w1 = 4548.563, w2 = 4452.685, dw = -0.05811, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 75, w1 = 4512.755, w2 = 4417.634, dw = -0.05765, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 76, w1 = 4477.506, w2 = 4383.131, dw = -0.0572, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 77, w1 = 4442.804, w2 = 4349.163, dw = -0.05675, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 78, w1 = 4408.636, w2 = 4315.718, dw = -0.05631, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 79, w1 = 4374.99, w2 = 4282.783, dw = -0.05588, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 80, w1 = 4341.853, w2 = 4250.347, dw = -0.05546, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 81, w1 = 4309.215, w2 = 4218.399, dw = -0.05504, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 82, w1 = 4277.064, w2 = 4186.928, dw = -0.05463, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 83, w1 = 4245.389, w2 = 4155.923, dw = -0.05422, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 84, w1 = 4214.18, w2 = 4125.374, dw = -0.05382, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 85, w1 = 4183.426, w2 = 4095.271, dw = -0.05343, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 86, w1 = 4153.118, w2 = 4065.604, dw = -0.05304, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 87, w1 = 4123.247, w2 = 4036.365, dw = -0.05266, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 88, w1 = 4093.802, w2 = 4007.543, dw = -0.05228, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 89, w1 = 4064.774, w2 = 3979.129, dw = -0.05191, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 90, w1 = 4036.156, w2 = 3951.116, dw = -0.05154, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 91, w1 = 4007.938, w2 = 3923.495, dw = -0.05118, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 92, w1 = 3980.111, w2 = 3896.257, dw = -0.05082, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 93, w1 = 3952.669, w2 = 3869.395, dw = -0.05047, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 94, w1 = 3925.602, w2 = 3842.9, dw = -0.05012, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 95, w1 = 3898.904, w2 = 3816.767, dw = -0.04978, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 96, w1 = 3872.567, w2 = 3790.986, dw = -0.04944, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 97, w1 = 3846.582, w2 = 3765.551, dw = -0.04911, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 98, w1 = 3820.945, w2 = 3740.456, dw = -0.04878, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 99, w1 = 3795.647, w2 = 3715.692, dw = -0.04846, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 100, w1 = 3770.682, w2 = 3691.255, dw = -0.04814, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 101, w1 = 3746.043, w2 = 3667.137, dw = -0.04782, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 102, w1 = 3721.724, w2 = 3643.331, dw = -0.04751, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 103, w1 = 3697.719, w2 = 3619.833, dw = -0.0472, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 104, w1 = 3674.021, w2 = 3596.637, dw = -0.0469, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 105, w1 = 3650.626, w2 = 3573.735, dw = -0.0466, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 106, w1 = 3627.526, w2 = 3551.124, dw = -0.0463, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 107, w1 = 3604.718, w2 = 3528.796, dw = -0.04601, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 108, w1 = 3582.194, w2 = 3506.748, dw = -0.04572, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 109, w1 = 3559.95, w2 = 3484.973, dw = -0.04544, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 110, w1 = 3537.98, w2 = 3463.467, dw = -0.04516, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 111, w1 = 3516.281, w2 = 3442.225, dw = -0.04488, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 112, w1 = 3494.845, w2 = 3421.242, dw = -0.04461, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 113, w1 = 3473.67, w2 = 3400.513, dw = -0.04434, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 114, w1 = 3452.749, w2 = 3380.033, dw = -0.04407, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 115, w1 = 3432.08, w2 = 3359.799, dw = -0.04381, nw = 1651 EchelleThAr.0019.ec.fits: REFSPEC1 = 'EchelleThAr.0019.ec 1.' zEchelleThAr.0019.ec.fits: ap = 1, w1 = 10812.48, w2 = 10584.25, dw = -0.13832, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 2, w1 = 10612.25, w2 = 10388.27, dw = -0.13575, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 3, w1 = 10419.31, w2 = 10199.41, dw = -0.13327, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 4, w1 = 10233.26, w2 = 10017.29, dw = -0.13089, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 5, w1 = 10053.74, w2 = 9841.567, dw = -0.12859, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 6, w1 = 9880.403, w2 = 9671.901, dw = -0.12637, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 7, w1 = 9712.948, w2 = 9507.986, dw = -0.12422, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 8, w1 = 9551.075, w2 = 9349.535, dw = -0.12215, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 9, w1 = 9394.509, w2 = 9196.279, dw = -0.12014, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 10, w1 = 9242.994, w2 = 9047.966, dw = -0.1182, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 11, w1 = 9096.29, w2 = 8904.362, dw = -0.11632, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 12, w1 = 8954.171, w2 = 8765.245, dw = -0.1145, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 13, w1 = 8816.424, w2 = 8630.409, dw = -0.11274, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 14, w1 = 8682.853, w2 = 8499.659, dw = -0.11103, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 15, w1 = 8553.268, w2 = 8372.811, dw = -0.10937, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 16, w1 = 8427.496, w2 = 8249.694, dw = -0.10776, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 17, w1 = 8305.369, w2 = 8130.146, dw = -0.1062, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 18, w1 = 8186.731, w2 = 8014.013, dw = -0.10468, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 19, w1 = 8071.436, w2 = 7901.152, dw = -0.1032, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 20, w1 = 7959.343, w2 = 7791.426, dw = -0.10177, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 21, w1 = 7850.322, w2 = 7684.706, dw = -0.10037, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 22, w1 = 7744.247, w2 = 7580.87, dw = -0.09902, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 23, w1 = 7641.001, w2 = 7479.804, dw = -0.0977, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 24, w1 = 7540.472, w2 = 7381.397, dw = -0.09641, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 25, w1 = 7442.554, w2 = 7285.546, dw = -0.09516, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 26, w1 = 7347.147, w2 = 7192.152, dw = -0.09394, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 27, w1 = 7254.156, w2 = 7101.124, dw = -0.09275, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 28, w1 = 7163.489, w2 = 7012.371, dw = -0.09159, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 29, w1 = 7075.061, w2 = 6925.809, dw = -0.09046, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 30, w1 = 6988.79, w2 = 6841.359, dw = -0.08935, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 31, w1 = 6904.598, w2 = 6758.944, dw = -0.08828, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 32, w1 = 6822.41, w2 = 6678.491, dw = -0.08722, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 33, w1 = 6742.156, w2 = 6599.931, dw = -0.0862, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 34, w1 = 6663.769, w2 = 6523.198, dw = -0.08519, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 35, w1 = 6587.183, w2 = 6448.23, dw = -0.08421, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 36, w1 = 6512.339, w2 = 6374.965, dw = -0.08326, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 37, w1 = 6439.176, w2 = 6303.347, dw = -0.08232, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 38, w1 = 6367.638, w2 = 6233.32, dw = -0.08141, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 39, w1 = 6297.673, w2 = 6164.832, dw = -0.08051, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 40, w1 = 6229.23, w2 = 6097.834, dw = -0.07963, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 41, w1 = 6162.257, w2 = 6032.276, dw = -0.07878, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 42, w1 = 6096.71, w2 = 5968.113, dw = -0.07794, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 43, w1 = 6032.543, w2 = 5905.302, dw = -0.07712, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 44, w1 = 5969.713, w2 = 5843.798, dw = -0.07631, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 45, w1 = 5908.178, w2 = 5783.563, dw = -0.07552, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 46, w1 = 5847.898, w2 = 5724.558, dw = -0.07475, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 47, w1 = 5788.837, w2 = 5666.744, dw = -0.074, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 48, w1 = 5730.957, w2 = 5610.087, dw = -0.07325, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 49, w1 = 5674.223, w2 = 5554.552, dw = -0.07253, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 50, w1 = 5618.601, w2 = 5500.106, dw = -0.07182, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 51, w1 = 5564.059, w2 = 5446.717, dw = -0.07112, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 52, w1 = 5510.567, w2 = 5394.355, dw = -0.07043, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 53, w1 = 5458.093, w2 = 5342.99, dw = -0.06976, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 54, w1 = 5406.609, w2 = 5292.595, dw = -0.0691, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 55, w1 = 5356.088, w2 = 5243.142, dw = -0.06845, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 56, w1 = 5306.502, w2 = 5194.604, dw = -0.06782, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 57, w1 = 5257.826, w2 = 5146.958, dw = -0.06719, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 58, w1 = 5210.035, w2 = 5100.177, dw = -0.06658, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 59, w1 = 5163.105, w2 = 5054.24, dw = -0.06598, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 60, w1 = 5117.014, w2 = 5009.123, dw = -0.06539, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 61, w1 = 5071.738, w2 = 4964.804, dw = -0.06481, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 62, w1 = 5027.256, w2 = 4921.264, dw = -0.06424, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 63, w1 = 4983.548, w2 = 4878.48, dw = -0.06368, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 64, w1 = 4940.594, w2 = 4836.434, dw = -0.06313, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 65, w1 = 4898.374, w2 = 4795.107, dw = -0.06259, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 66, w1 = 4856.87, w2 = 4754.481, dw = -0.06205, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 67, w1 = 4816.064, w2 = 4714.537, dw = -0.06153, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 68, w1 = 4775.938, w2 = 4675.259, dw = -0.06102, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 69, w1 = 4736.475, w2 = 4636.63, dw = -0.06051, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 70, w1 = 4697.659, w2 = 4598.635, dw = -0.06001, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 71, w1 = 4659.474, w2 = 4561.257, dw = -0.05953, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 72, w1 = 4621.906, w2 = 4524.483, dw = -0.05904, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 73, w1 = 4584.939, w2 = 4488.296, dw = -0.05857, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 74, w1 = 4548.558, w2 = 4452.684, dw = -0.05811, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 75, w1 = 4512.751, w2 = 4417.633, dw = -0.05765, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 76, w1 = 4477.504, w2 = 4383.13, dw = -0.0572, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 77, w1 = 4442.803, w2 = 4349.162, dw = -0.05675, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 78, w1 = 4408.636, w2 = 4315.716, dw = -0.05632, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 79, w1 = 4374.991, w2 = 4282.781, dw = -0.05589, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 80, w1 = 4341.856, w2 = 4250.344, dw = -0.05546, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 81, w1 = 4309.22, w2 = 4218.396, dw = -0.05504, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 82, w1 = 4277.071, w2 = 4186.924, dw = -0.05463, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 83, w1 = 4245.398, w2 = 4155.919, dw = -0.05423, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 84, w1 = 4214.192, w2 = 4125.369, dw = -0.05383, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 85, w1 = 4183.441, w2 = 4095.266, dw = -0.05344, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 86, w1 = 4153.137, w2 = 4065.598, dw = -0.05305, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 87, w1 = 4123.268, w2 = 4036.358, dw = -0.05267, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 88, w1 = 4093.827, w2 = 4007.535, dw = -0.0523, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 89, w1 = 4064.804, w2 = 3979.121, dw = -0.05193, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 90, w1 = 4036.19, w2 = 3951.107, dw = -0.05157, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 91, w1 = 4007.976, w2 = 3923.485, dw = -0.05121, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 92, w1 = 3980.155, w2 = 3896.246, dw = -0.05085, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 93, w1 = 3952.718, w2 = 3869.383, dw = -0.05051, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 94, w1 = 3925.657, w2 = 3842.888, dw = -0.05016, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 95, w1 = 3898.965, w2 = 3816.753, dw = -0.04983, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 96, w1 = 3872.634, w2 = 3790.971, dw = -0.04949, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 97, w1 = 3846.657, w2 = 3765.536, dw = -0.04916, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 98, w1 = 3821.026, w2 = 3740.439, dw = -0.04884, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 99, w1 = 3795.736, w2 = 3715.674, dw = -0.04852, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 100, w1 = 3770.779, w2 = 3691.236, dw = -0.04821, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 101, w1 = 3746.149, w2 = 3667.116, dw = -0.0479, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 102, w1 = 3721.839, w2 = 3643.31, dw = -0.04759, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 103, w1 = 3697.843, w2 = 3619.81, dw = -0.04729, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 104, w1 = 3674.155, w2 = 3596.612, dw = -0.047, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 105, w1 = 3650.77, w2 = 3573.709, dw = -0.0467, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 106, w1 = 3627.682, w2 = 3551.096, dw = -0.04642, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 107, w1 = 3604.884, w2 = 3528.767, dw = -0.04613, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 108, w1 = 3582.372, w2 = 3506.717, dw = -0.04585, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 109, w1 = 3560.14, w2 = 3484.941, dw = -0.04558, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 110, w1 = 3538.184, w2 = 3463.434, dw = -0.0453, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 111, w1 = 3516.498, w2 = 3442.19, dw = -0.04504, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 112, w1 = 3495.076, w2 = 3421.205, dw = -0.04477, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 113, w1 = 3473.915, w2 = 3400.474, dw = -0.04451, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 114, w1 = 3453.01, w2 = 3379.992, dw = -0.04425, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 115, w1 = 3432.356, w2 = 3359.756, dw = -0.044, nw = 1651 EchelleThAr.0020.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' zEchelleThAr.0020.ec.fits: ap = 1, w1 = 10812.44, w2 = 10584.24, dw = -0.1383, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 2, w1 = 10612.22, w2 = 10388.26, dw = -0.13574, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 3, w1 = 10419.29, w2 = 10199.4, dw = -0.13326, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 4, w1 = 10233.24, w2 = 10017.29, dw = -0.13088, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 5, w1 = 10053.72, w2 = 9841.567, dw = -0.12858, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 6, w1 = 9880.393, w2 = 9671.903, dw = -0.12636, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 7, w1 = 9712.94, w2 = 9507.989, dw = -0.12421, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 8, w1 = 9551.07, w2 = 9349.539, dw = -0.12214, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 9, w1 = 9394.507, w2 = 9196.284, dw = -0.12013, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 10, w1 = 9242.994, w2 = 9047.973, dw = -0.11819, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 11, w1 = 9096.291, w2 = 8904.369, dw = -0.11632, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 12, w1 = 8954.173, w2 = 8765.253, dw = -0.1145, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 13, w1 = 8816.427, w2 = 8630.417, dw = -0.11273, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 14, w1 = 8682.856, w2 = 8499.666, dw = -0.11102, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 15, w1 = 8553.272, w2 = 8372.819, dw = -0.10937, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 16, w1 = 8427.5, w2 = 8249.702, dw = -0.10776, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 17, w1 = 8305.373, w2 = 8130.154, dw = -0.10619, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 18, w1 = 8186.735, w2 = 8014.021, dw = -0.10468, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 19, w1 = 8071.44, w2 = 7901.16, dw = -0.1032, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 20, w1 = 7959.347, w2 = 7791.433, dw = -0.10177, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 21, w1 = 7850.325, w2 = 7684.713, dw = -0.10037, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 22, w1 = 7744.25, w2 = 7580.877, dw = -0.09901, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 23, w1 = 7641.003, w2 = 7479.81, dw = -0.09769, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 24, w1 = 7540.474, w2 = 7381.402, dw = -0.09641, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 25, w1 = 7442.556, w2 = 7285.551, dw = -0.09515, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 26, w1 = 7347.148, w2 = 7192.157, dw = -0.09393, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 27, w1 = 7254.156, w2 = 7101.128, dw = -0.09274, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 28, w1 = 7163.489, w2 = 7012.374, dw = -0.09158, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 29, w1 = 7075.06, w2 = 6925.812, dw = -0.09045, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 30, w1 = 6988.789, w2 = 6841.362, dw = -0.08935, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 31, w1 = 6904.596, w2 = 6758.946, dw = -0.08827, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 32, w1 = 6822.408, w2 = 6678.492, dw = -0.08722, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 33, w1 = 6742.153, w2 = 6599.932, dw = -0.08619, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 34, w1 = 6663.765, w2 = 6523.199, dw = -0.08519, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 35, w1 = 6587.179, w2 = 6448.23, dw = -0.08421, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 36, w1 = 6512.334, w2 = 6374.965, dw = -0.08325, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 37, w1 = 6439.171, w2 = 6303.346, dw = -0.08232, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 38, w1 = 6367.633, w2 = 6233.319, dw = -0.0814, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 39, w1 = 6297.668, w2 = 6164.831, dw = -0.08051, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 40, w1 = 6229.224, w2 = 6097.832, dw = -0.07963, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 41, w1 = 6162.252, w2 = 6032.274, dw = -0.07877, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 42, w1 = 6096.705, w2 = 5968.111, dw = -0.07794, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 43, w1 = 6032.538, w2 = 5905.299, dw = -0.07711, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 44, w1 = 5969.707, w2 = 5843.796, dw = -0.07631, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 45, w1 = 5908.172, w2 = 5783.56, dw = -0.07552, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 46, w1 = 5847.893, w2 = 5724.555, dw = -0.07475, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 47, w1 = 5788.832, w2 = 5666.741, dw = -0.07399, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 48, w1 = 5730.952, w2 = 5610.084, dw = -0.07325, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 49, w1 = 5674.218, w2 = 5554.549, dw = -0.07253, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 50, w1 = 5618.597, w2 = 5500.102, dw = -0.07181, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 51, w1 = 5564.056, w2 = 5446.714, dw = -0.07112, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 52, w1 = 5510.563, w2 = 5394.352, dw = -0.07043, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 53, w1 = 5458.09, w2 = 5342.987, dw = -0.06976, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 54, w1 = 5406.607, w2 = 5292.592, dw = -0.0691, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 55, w1 = 5356.086, w2 = 5243.139, dw = -0.06845, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 56, w1 = 5306.501, w2 = 5194.601, dw = -0.06782, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 57, w1 = 5257.825, w2 = 5146.955, dw = -0.06719, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 58, w1 = 5210.035, w2 = 5100.175, dw = -0.06658, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 59, w1 = 5163.106, w2 = 5054.238, dw = -0.06598, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 60, w1 = 5117.015, w2 = 5009.121, dw = -0.06539, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 61, w1 = 5071.74, w2 = 4964.803, dw = -0.06481, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 62, w1 = 5027.259, w2 = 4921.262, dw = -0.06424, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 63, w1 = 4983.552, w2 = 4878.479, dw = -0.06368, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 64, w1 = 4940.598, w2 = 4836.433, dw = -0.06313, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 65, w1 = 4898.379, w2 = 4795.107, dw = -0.06259, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 66, w1 = 4856.875, w2 = 4754.481, dw = -0.06206, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 67, w1 = 4816.069, w2 = 4714.537, dw = -0.06153, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 68, w1 = 4775.944, w2 = 4675.26, dw = -0.06102, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 69, w1 = 4736.481, w2 = 4636.631, dw = -0.06051, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 70, w1 = 4697.666, w2 = 4598.637, dw = -0.06002, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 71, w1 = 4659.481, w2 = 4561.259, dw = -0.05953, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 72, w1 = 4621.913, w2 = 4524.485, dw = -0.05905, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 73, w1 = 4584.946, w2 = 4488.299, dw = -0.05857, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 74, w1 = 4548.566, w2 = 4452.688, dw = -0.05811, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 75, w1 = 4512.759, w2 = 4417.638, dw = -0.05765, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 76, w1 = 4477.512, w2 = 4383.135, dw = -0.0572, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 77, w1 = 4442.811, w2 = 4349.167, dw = -0.05675, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 78, w1 = 4408.644, w2 = 4315.721, dw = -0.05632, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 79, w1 = 4374.999, w2 = 4282.787, dw = -0.05589, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 80, w1 = 4341.863, w2 = 4250.351, dw = -0.05546, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 81, w1 = 4309.226, w2 = 4218.403, dw = -0.05504, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 82, w1 = 4277.077, w2 = 4186.932, dw = -0.05463, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 83, w1 = 4245.403, w2 = 4155.927, dw = -0.05423, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 84, w1 = 4214.196, w2 = 4125.378, dw = -0.05383, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 85, w1 = 4183.445, w2 = 4095.275, dw = -0.05344, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 86, w1 = 4153.139, w2 = 4065.608, dw = -0.05305, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 87, w1 = 4123.269, w2 = 4036.368, dw = -0.05267, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 88, w1 = 4093.827, w2 = 4007.545, dw = -0.05229, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 89, w1 = 4064.802, w2 = 3979.132, dw = -0.05192, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 90, w1 = 4036.186, w2 = 3951.118, dw = -0.05156, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 91, w1 = 4007.97, w2 = 3923.496, dw = -0.0512, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 92, w1 = 3980.147, w2 = 3896.258, dw = -0.05084, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 93, w1 = 3952.707, w2 = 3869.395, dw = -0.05049, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 94, w1 = 3925.644, w2 = 3842.9, dw = -0.05015, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 95, w1 = 3898.949, w2 = 3816.765, dw = -0.04981, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 96, w1 = 3872.614, w2 = 3790.984, dw = -0.04947, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 97, w1 = 3846.634, w2 = 3765.548, dw = -0.04914, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 98, w1 = 3821., w2 = 3740.451, dw = -0.04882, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 99, w1 = 3795.706, w2 = 3715.687, dw = -0.0485, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 100, w1 = 3770.745, w2 = 3691.248, dw = -0.04818, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 101, w1 = 3746.11, w2 = 3667.129, dw = -0.04787, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 102, w1 = 3721.795, w2 = 3643.322, dw = -0.04756, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 103, w1 = 3697.795, w2 = 3619.823, dw = -0.04726, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 104, w1 = 3674.102, w2 = 3596.624, dw = -0.04696, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 105, w1 = 3650.711, w2 = 3573.721, dw = -0.04666, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 106, w1 = 3627.617, w2 = 3551.108, dw = -0.04637, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 107, w1 = 3604.813, w2 = 3528.778, dw = -0.04608, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 108, w1 = 3582.295, w2 = 3506.728, dw = -0.0458, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 109, w1 = 3560.056, w2 = 3484.951, dw = -0.04552, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 110, w1 = 3538.093, w2 = 3463.443, dw = -0.04524, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 111, w1 = 3516.399, w2 = 3442.198, dw = -0.04497, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 112, w1 = 3494.97, w2 = 3421.212, dw = -0.0447, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 113, w1 = 3473.801, w2 = 3400.481, dw = -0.04444, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 114, w1 = 3452.887, w2 = 3379.998, dw = -0.04417, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 115, w1 = 3432.224, w2 = 3359.761, dw = -0.04392, nw = 1651 EchelleThAr.0021.ec.fits: REFSPEC1 = 'EchelleThAr.0021.ec 1.' zEchelleThAr.0021.ec.fits: ap = 1, w1 = 10812.39, w2 = 10584.2, dw = -0.1383, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 2, w1 = 10612.18, w2 = 10388.21, dw = -0.13574, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 3, w1 = 10419.24, w2 = 10199.36, dw = -0.13326, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 4, w1 = 10233.2, w2 = 10017.24, dw = -0.13088, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 5, w1 = 10053.68, w2 = 9841.522, dw = -0.12858, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 6, w1 = 9880.357, w2 = 9671.858, dw = -0.12636, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 7, w1 = 9712.906, w2 = 9507.945, dw = -0.12422, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 8, w1 = 9551.037, w2 = 9349.495, dw = -0.12215, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 9, w1 = 9394.475, w2 = 9196.24, dw = -0.12014, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 10, w1 = 9242.964, w2 = 9047.929, dw = -0.1182, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 11, w1 = 9096.262, w2 = 8904.326, dw = -0.11632, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 12, w1 = 8954.145, w2 = 8765.21, dw = -0.11451, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 13, w1 = 8816.4, w2 = 8630.375, dw = -0.11274, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 14, w1 = 8682.83, w2 = 8499.625, dw = -0.11103, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 15, w1 = 8553.246, w2 = 8372.779, dw = -0.10937, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 16, w1 = 8427.474, w2 = 8249.663, dw = -0.10776, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 17, w1 = 8305.348, w2 = 8130.115, dw = -0.1062, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 18, w1 = 8186.71, w2 = 8013.983, dw = -0.10468, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 19, w1 = 8071.415, w2 = 7901.122, dw = -0.10321, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 20, w1 = 7959.322, w2 = 7791.397, dw = -0.10177, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 21, w1 = 7850.3, w2 = 7684.677, dw = -0.10038, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 22, w1 = 7744.225, w2 = 7580.842, dw = -0.09902, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 23, w1 = 7640.979, w2 = 7479.775, dw = -0.0977, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 24, w1 = 7540.449, w2 = 7381.369, dw = -0.09641, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 25, w1 = 7442.531, w2 = 7285.518, dw = -0.09516, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 26, w1 = 7347.123, w2 = 7192.125, dw = -0.09394, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 27, w1 = 7254.131, w2 = 7101.096, dw = -0.09275, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 28, w1 = 7163.464, w2 = 7012.343, dw = -0.09159, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 29, w1 = 7075.035, w2 = 6925.782, dw = -0.09046, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 30, w1 = 6988.763, w2 = 6841.332, dw = -0.08935, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 31, w1 = 6904.57, w2 = 6758.917, dw = -0.08827, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 32, w1 = 6822.382, w2 = 6678.464, dw = -0.08722, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 33, w1 = 6742.127, w2 = 6599.904, dw = -0.0862, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 34, w1 = 6663.739, w2 = 6523.172, dw = -0.08519, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 35, w1 = 6587.153, w2 = 6448.203, dw = -0.08421, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 36, w1 = 6512.308, w2 = 6374.938, dw = -0.08325, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 37, w1 = 6439.144, w2 = 6303.32, dw = -0.08232, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 38, w1 = 6367.607, w2 = 6233.294, dw = -0.0814, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 39, w1 = 6297.642, w2 = 6164.806, dw = -0.08051, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 40, w1 = 6229.197, w2 = 6097.808, dw = -0.07963, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 41, w1 = 6162.225, w2 = 6032.25, dw = -0.07877, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 42, w1 = 6096.678, w2 = 5968.088, dw = -0.07793, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 43, w1 = 6032.511, w2 = 5905.276, dw = -0.07711, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 44, w1 = 5969.68, w2 = 5843.773, dw = -0.07631, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 45, w1 = 5908.146, w2 = 5783.538, dw = -0.07552, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 46, w1 = 5847.867, w2 = 5724.533, dw = -0.07475, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 47, w1 = 5788.805, w2 = 5666.719, dw = -0.07399, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 48, w1 = 5730.926, w2 = 5610.062, dw = -0.07325, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 49, w1 = 5674.192, w2 = 5554.527, dw = -0.07252, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 50, w1 = 5618.571, w2 = 5500.082, dw = -0.07181, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 51, w1 = 5564.03, w2 = 5446.693, dw = -0.07111, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 52, w1 = 5510.538, w2 = 5394.331, dw = -0.07043, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 53, w1 = 5458.065, w2 = 5342.967, dw = -0.06976, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 54, w1 = 5406.582, w2 = 5292.572, dw = -0.0691, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 55, w1 = 5356.062, w2 = 5243.119, dw = -0.06845, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 56, w1 = 5306.477, w2 = 5194.582, dw = -0.06781, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 57, w1 = 5257.802, w2 = 5146.936, dw = -0.06719, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 58, w1 = 5210.012, w2 = 5100.156, dw = -0.06658, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 59, w1 = 5163.083, w2 = 5054.219, dw = -0.06598, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 60, w1 = 5116.993, w2 = 5009.103, dw = -0.06539, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 61, w1 = 5071.718, w2 = 4964.785, dw = -0.06481, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 62, w1 = 5027.238, w2 = 4921.244, dw = -0.06424, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 63, w1 = 4983.531, w2 = 4878.461, dw = -0.06368, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 64, w1 = 4940.578, w2 = 4836.416, dw = -0.06313, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 65, w1 = 4898.36, w2 = 4795.09, dw = -0.06259, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 66, w1 = 4856.857, w2 = 4754.464, dw = -0.06206, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 67, w1 = 4816.052, w2 = 4714.521, dw = -0.06153, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 68, w1 = 4775.927, w2 = 4675.244, dw = -0.06102, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 69, w1 = 4736.466, w2 = 4636.616, dw = -0.06052, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 70, w1 = 4697.651, w2 = 4598.621, dw = -0.06002, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 71, w1 = 4659.468, w2 = 4561.244, dw = -0.05953, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 72, w1 = 4621.901, w2 = 4524.471, dw = -0.05905, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 73, w1 = 4584.935, w2 = 4488.285, dw = -0.05858, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 74, w1 = 4548.555, w2 = 4452.674, dw = -0.05811, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 75, w1 = 4512.749, w2 = 4417.624, dw = -0.05765, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 76, w1 = 4477.503, w2 = 4383.122, dw = -0.0572, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 77, w1 = 4442.803, w2 = 4349.155, dw = -0.05676, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 78, w1 = 4408.637, w2 = 4315.71, dw = -0.05632, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 79, w1 = 4374.993, w2 = 4282.776, dw = -0.05589, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 80, w1 = 4341.859, w2 = 4250.341, dw = -0.05547, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 81, w1 = 4309.224, w2 = 4218.393, dw = -0.05505, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 82, w1 = 4277.075, w2 = 4186.923, dw = -0.05464, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 83, w1 = 4245.403, w2 = 4155.919, dw = -0.05423, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 84, w1 = 4214.197, w2 = 4125.37, dw = -0.05383, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 85, w1 = 4183.447, w2 = 4095.268, dw = -0.05344, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 86, w1 = 4153.142, w2 = 4065.602, dw = -0.05305, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 87, w1 = 4123.274, w2 = 4036.363, dw = -0.05267, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 88, w1 = 4093.833, w2 = 4007.541, dw = -0.0523, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 89, w1 = 4064.809, w2 = 3979.129, dw = -0.05193, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 90, w1 = 4036.195, w2 = 3951.116, dw = -0.05156, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 91, w1 = 4007.981, w2 = 3923.495, dw = -0.0512, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 92, w1 = 3980.159, w2 = 3896.258, dw = -0.05085, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 93, w1 = 3952.72, w2 = 3869.396, dw = -0.0505, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 94, w1 = 3925.658, w2 = 3842.903, dw = -0.05015, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 95, w1 = 3898.965, w2 = 3816.77, dw = -0.04982, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 96, w1 = 3872.632, w2 = 3790.989, dw = -0.04948, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 97, w1 = 3846.653, w2 = 3765.555, dw = -0.04915, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 98, w1 = 3821.021, w2 = 3740.46, dw = -0.04882, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 99, w1 = 3795.728, w2 = 3715.697, dw = -0.0485, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 100, w1 = 3770.768, w2 = 3691.26, dw = -0.04819, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 101, w1 = 3746.135, w2 = 3667.143, dw = -0.04787, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 102, w1 = 3721.822, w2 = 3643.338, dw = -0.04757, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 103, w1 = 3697.823, w2 = 3619.841, dw = -0.04726, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 104, w1 = 3674.132, w2 = 3596.644, dw = -0.04696, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 105, w1 = 3650.742, w2 = 3573.743, dw = -0.04667, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 106, w1 = 3627.65, w2 = 3551.132, dw = -0.04637, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 107, w1 = 3604.847, w2 = 3528.805, dw = -0.04609, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 108, w1 = 3582.331, w2 = 3506.757, dw = -0.0458, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 109, w1 = 3560.094, w2 = 3484.983, dw = -0.04552, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 110, w1 = 3538.132, w2 = 3463.477, dw = -0.04525, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 111, w1 = 3516.439, w2 = 3442.235, dw = -0.04497, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 112, w1 = 3495.012, w2 = 3421.252, dw = -0.0447, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 113, w1 = 3473.844, w2 = 3400.523, dw = -0.04444, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 114, w1 = 3452.932, w2 = 3380.044, dw = -0.04417, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 115, w1 = 3432.27, w2 = 3359.809, dw = -0.04392, nw = 1651 EchelleThAr.0025.ec.fits: REFSPEC1 = 'EchelleThAr.0025.ec 1.' zEchelleThAr.0025.ec.fits: ap = 1, w1 = 10812.3, w2 = 10584.15, dw = -0.13827, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 2, w1 = 10612.09, w2 = 10388.17, dw = -0.13571, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 3, w1 = 10419.17, w2 = 10199.31, dw = -0.13325, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 4, w1 = 10233.13, w2 = 10017.2, dw = -0.13087, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 5, w1 = 10053.62, w2 = 9841.474, dw = -0.12857, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 6, w1 = 9880.295, w2 = 9671.81, dw = -0.12635, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 7, w1 = 9712.849, w2 = 9507.898, dw = -0.12421, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 8, w1 = 9550.983, w2 = 9349.449, dw = -0.12214, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 9, w1 = 9394.425, w2 = 9196.195, dw = -0.12014, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 10, w1 = 9242.916, w2 = 9047.885, dw = -0.1182, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 11, w1 = 9096.217, w2 = 8904.282, dw = -0.11632, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 12, w1 = 8954.102, w2 = 8765.167, dw = -0.11451, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 13, w1 = 8816.359, w2 = 8630.332, dw = -0.11274, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 14, w1 = 8682.791, w2 = 8499.584, dw = -0.11103, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 15, w1 = 8553.209, w2 = 8372.738, dw = -0.10938, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 16, w1 = 8427.438, w2 = 8249.622, dw = -0.10777, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 17, w1 = 8305.313, w2 = 8130.075, dw = -0.1062, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 18, w1 = 8186.676, w2 = 8013.944, dw = -0.10469, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 19, w1 = 8071.382, w2 = 7901.084, dw = -0.10321, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 20, w1 = 7959.29, w2 = 7791.359, dw = -0.10178, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 21, w1 = 7850.269, w2 = 7684.64, dw = -0.10038, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 22, w1 = 7744.194, w2 = 7580.806, dw = -0.09902, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 23, w1 = 7640.948, w2 = 7479.74, dw = -0.0977, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 24, w1 = 7540.418, w2 = 7381.334, dw = -0.09642, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 25, w1 = 7442.5, w2 = 7285.484, dw = -0.09516, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 26, w1 = 7347.093, w2 = 7192.091, dw = -0.09394, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 27, w1 = 7254.101, w2 = 7101.063, dw = -0.09275, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 28, w1 = 7163.433, w2 = 7012.311, dw = -0.09159, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 29, w1 = 7075.005, w2 = 6925.75, dw = -0.09046, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 30, w1 = 6988.733, w2 = 6841.301, dw = -0.08935, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 31, w1 = 6904.54, w2 = 6758.886, dw = -0.08828, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 32, w1 = 6822.351, w2 = 6678.434, dw = -0.08722, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 33, w1 = 6742.097, w2 = 6599.875, dw = -0.0862, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 34, w1 = 6663.709, w2 = 6523.142, dw = -0.08519, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 35, w1 = 6587.122, w2 = 6448.174, dw = -0.08421, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 36, w1 = 6512.277, w2 = 6374.91, dw = -0.08325, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 37, w1 = 6439.113, w2 = 6303.292, dw = -0.08232, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 38, w1 = 6367.576, w2 = 6233.266, dw = -0.0814, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 39, w1 = 6297.61, w2 = 6164.779, dw = -0.0805, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 40, w1 = 6229.166, w2 = 6097.78, dw = -0.07963, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 41, w1 = 6162.194, w2 = 6032.223, dw = -0.07877, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 42, w1 = 6096.646, w2 = 5968.061, dw = -0.07793, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 43, w1 = 6032.479, w2 = 5905.249, dw = -0.07711, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 44, w1 = 5969.649, w2 = 5843.747, dw = -0.0763, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 45, w1 = 5908.114, w2 = 5783.512, dw = -0.07552, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 46, w1 = 5847.835, w2 = 5724.507, dw = -0.07474, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 47, w1 = 5788.774, w2 = 5666.694, dw = -0.07399, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 48, w1 = 5730.894, w2 = 5610.037, dw = -0.07325, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 49, w1 = 5674.16, w2 = 5554.502, dw = -0.07252, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 50, w1 = 5618.539, w2 = 5500.056, dw = -0.07181, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 51, w1 = 5563.998, w2 = 5446.668, dw = -0.07111, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 52, w1 = 5510.506, w2 = 5394.306, dw = -0.07042, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 53, w1 = 5458.033, w2 = 5342.942, dw = -0.06975, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 54, w1 = 5406.55, w2 = 5292.547, dw = -0.06909, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 55, w1 = 5356.029, w2 = 5243.094, dw = -0.06845, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 56, w1 = 5306.445, w2 = 5194.557, dw = -0.06781, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 57, w1 = 5257.77, w2 = 5146.911, dw = -0.06719, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 58, w1 = 5209.98, w2 = 5100.131, dw = -0.06658, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 59, w1 = 5163.051, w2 = 5054.194, dw = -0.06597, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 60, w1 = 5116.96, w2 = 5009.077, dw = -0.06538, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 61, w1 = 5071.685, w2 = 4964.759, dw = -0.0648, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 62, w1 = 5027.205, w2 = 4921.219, dw = -0.06423, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 63, w1 = 4983.498, w2 = 4878.436, dw = -0.06367, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 64, w1 = 4940.545, w2 = 4836.39, dw = -0.06312, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 65, w1 = 4898.326, w2 = 4795.064, dw = -0.06258, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 66, w1 = 4856.823, w2 = 4754.438, dw = -0.06205, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 67, w1 = 4816.018, w2 = 4714.494, dw = -0.06153, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 68, w1 = 4775.892, w2 = 4675.217, dw = -0.06102, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 69, w1 = 4736.43, w2 = 4636.589, dw = -0.06051, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 70, w1 = 4697.615, w2 = 4598.594, dw = -0.06001, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 71, w1 = 4659.432, w2 = 4561.217, dw = -0.05952, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 72, w1 = 4621.864, w2 = 4524.443, dw = -0.05904, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 73, w1 = 4584.897, w2 = 4488.258, dw = -0.05857, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 74, w1 = 4548.517, w2 = 4452.646, dw = -0.0581, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 75, w1 = 4512.71, w2 = 4417.596, dw = -0.05764, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 76, w1 = 4477.463, w2 = 4383.094, dw = -0.05719, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 77, w1 = 4442.762, w2 = 4349.126, dw = -0.05675, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 78, w1 = 4408.595, w2 = 4315.681, dw = -0.05631, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 79, w1 = 4374.95, w2 = 4282.747, dw = -0.05588, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 80, w1 = 4341.814, w2 = 4250.311, dw = -0.05546, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 81, w1 = 4309.177, w2 = 4218.364, dw = -0.05504, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 82, w1 = 4277.027, w2 = 4186.893, dw = -0.05463, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 83, w1 = 4245.353, w2 = 4155.889, dw = -0.05422, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 84, w1 = 4214.146, w2 = 4125.34, dw = -0.05382, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 85, w1 = 4183.393, w2 = 4095.238, dw = -0.05343, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 86, w1 = 4153.087, w2 = 4065.571, dw = -0.05304, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 87, w1 = 4123.217, w2 = 4036.332, dw = -0.05266, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 88, w1 = 4093.773, w2 = 4007.51, dw = -0.05228, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 89, w1 = 4064.747, w2 = 3979.098, dw = -0.05191, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 90, w1 = 4036.13, w2 = 3951.085, dw = -0.05154, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 91, w1 = 4007.913, w2 = 3923.464, dw = -0.05118, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 92, w1 = 3980.088, w2 = 3896.227, dw = -0.05082, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 93, w1 = 3952.646, w2 = 3869.365, dw = -0.05047, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 94, w1 = 3925.581, w2 = 3842.871, dw = -0.05013, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 95, w1 = 3898.884, w2 = 3816.738, dw = -0.04979, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 96, w1 = 3872.547, w2 = 3790.958, dw = -0.04945, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 97, w1 = 3846.564, w2 = 3765.524, dw = -0.04912, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 98, w1 = 3820.928, w2 = 3740.429, dw = -0.04879, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 99, w1 = 3795.631, w2 = 3715.666, dw = -0.04846, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 100, w1 = 3770.667, w2 = 3691.229, dw = -0.04814, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 101, w1 = 3746.029, w2 = 3667.111, dw = -0.04783, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 102, w1 = 3721.711, w2 = 3643.307, dw = -0.04752, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 103, w1 = 3697.706, w2 = 3619.809, dw = -0.04721, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 104, w1 = 3674.01, w2 = 3596.613, dw = -0.04691, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 105, w1 = 3650.615, w2 = 3573.712, dw = -0.04661, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 106, w1 = 3627.516, w2 = 3551.101, dw = -0.04631, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 107, w1 = 3604.708, w2 = 3528.774, dw = -0.04602, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 108, w1 = 3582.185, w2 = 3506.726, dw = -0.04573, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 109, w1 = 3559.941, w2 = 3484.952, dw = -0.04545, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 110, w1 = 3537.972, w2 = 3463.447, dw = -0.04517, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 111, w1 = 3516.272, w2 = 3442.206, dw = -0.04489, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 112, w1 = 3494.837, w2 = 3421.223, dw = -0.04461, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 113, w1 = 3473.662, w2 = 3400.495, dw = -0.04434, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 114, w1 = 3452.741, w2 = 3380.016, dw = -0.04408, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 115, w1 = 3432.071, w2 = 3359.782, dw = -0.04381, nw = 1651 EchelleThAr.0029.ec.fits: REFSPEC1 = 'EchelleThAr.0029.ec 1.' zEchelleThAr.0029.ec.fits: ap = 1, w1 = 10812.28, w2 = 10584.14, dw = -0.13827, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 2, w1 = 10612.07, w2 = 10388.15, dw = -0.13571, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 3, w1 = 10419.14, w2 = 10199.29, dw = -0.13324, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 4, w1 = 10233.1, w2 = 10017.18, dw = -0.13086, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 5, w1 = 10053.59, w2 = 9841.452, dw = -0.12857, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 6, w1 = 9880.27, w2 = 9671.787, dw = -0.12635, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 7, w1 = 9712.823, w2 = 9507.874, dw = -0.12421, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 8, w1 = 9550.958, w2 = 9349.424, dw = -0.12214, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 9, w1 = 9394.4, w2 = 9196.169, dw = -0.12014, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 10, w1 = 9242.892, w2 = 9047.858, dw = -0.1182, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 11, w1 = 9096.193, w2 = 8904.256, dw = -0.11633, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 12, w1 = 8954.078, w2 = 8765.141, dw = -0.11451, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 13, w1 = 8816.336, w2 = 8630.306, dw = -0.11275, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 14, w1 = 8682.768, w2 = 8499.557, dw = -0.11104, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 15, w1 = 8553.186, w2 = 8372.711, dw = -0.10938, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 16, w1 = 8427.416, w2 = 8249.596, dw = -0.10777, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 17, w1 = 8305.291, w2 = 8130.05, dw = -0.10621, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 18, w1 = 8186.655, w2 = 8013.919, dw = -0.10469, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 19, w1 = 8071.361, w2 = 7901.06, dw = -0.10321, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 20, w1 = 7959.269, w2 = 7791.335, dw = -0.10178, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 21, w1 = 7850.248, w2 = 7684.617, dw = -0.10038, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 22, w1 = 7744.174, w2 = 7580.783, dw = -0.09903, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 23, w1 = 7640.928, w2 = 7479.717, dw = -0.0977, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 24, w1 = 7540.399, w2 = 7381.312, dw = -0.09642, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 25, w1 = 7442.482, w2 = 7285.462, dw = -0.09516, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 26, w1 = 7347.074, w2 = 7192.071, dw = -0.09394, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 27, w1 = 7254.083, w2 = 7101.043, dw = -0.09275, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 28, w1 = 7163.416, w2 = 7012.291, dw = -0.09159, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 29, w1 = 7074.987, w2 = 6925.731, dw = -0.09046, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 30, w1 = 6988.716, w2 = 6841.282, dw = -0.08935, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 31, w1 = 6904.523, w2 = 6758.868, dw = -0.08828, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 32, w1 = 6822.335, w2 = 6678.416, dw = -0.08722, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 33, w1 = 6742.081, w2 = 6599.858, dw = -0.0862, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 34, w1 = 6663.693, w2 = 6523.126, dw = -0.08519, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 35, w1 = 6587.107, w2 = 6448.158, dw = -0.08421, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 36, w1 = 6512.262, w2 = 6374.894, dw = -0.08325, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 37, w1 = 6439.098, w2 = 6303.276, dw = -0.08232, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 38, w1 = 6367.561, w2 = 6233.251, dw = -0.0814, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 39, w1 = 6297.596, w2 = 6164.764, dw = -0.0805, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 40, w1 = 6229.152, w2 = 6097.766, dw = -0.07963, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 41, w1 = 6162.18, w2 = 6032.209, dw = -0.07877, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 42, w1 = 6096.633, w2 = 5968.046, dw = -0.07793, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 43, w1 = 6032.466, w2 = 5905.235, dw = -0.07711, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 44, w1 = 5969.636, w2 = 5843.732, dw = -0.07631, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 45, w1 = 5908.101, w2 = 5783.497, dw = -0.07552, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 46, w1 = 5847.822, w2 = 5724.492, dw = -0.07475, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 47, w1 = 5788.761, w2 = 5666.679, dw = -0.07399, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 48, w1 = 5730.882, w2 = 5610.022, dw = -0.07325, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 49, w1 = 5674.148, w2 = 5554.487, dw = -0.07252, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 50, w1 = 5618.527, w2 = 5500.041, dw = -0.07181, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 51, w1 = 5563.987, w2 = 5446.653, dw = -0.07111, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 52, w1 = 5510.495, w2 = 5394.291, dw = -0.07043, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 53, w1 = 5458.022, w2 = 5342.926, dw = -0.06975, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 54, w1 = 5406.539, w2 = 5292.531, dw = -0.0691, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 55, w1 = 5356.019, w2 = 5243.078, dw = -0.06845, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 56, w1 = 5306.434, w2 = 5194.54, dw = -0.06781, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 57, w1 = 5257.759, w2 = 5146.894, dw = -0.06719, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 58, w1 = 5209.97, w2 = 5100.113, dw = -0.06658, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 59, w1 = 5163.041, w2 = 5054.176, dw = -0.06598, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 60, w1 = 5116.951, w2 = 5009.059, dw = -0.06539, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 61, w1 = 5071.676, w2 = 4964.741, dw = -0.06481, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 62, w1 = 5027.196, w2 = 4921.2, dw = -0.06424, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 63, w1 = 4983.489, w2 = 4878.416, dw = -0.06368, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 64, w1 = 4940.537, w2 = 4836.371, dw = -0.06313, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 65, w1 = 4898.318, w2 = 4795.044, dw = -0.06259, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 66, w1 = 4856.815, w2 = 4754.417, dw = -0.06206, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 67, w1 = 4816.01, w2 = 4714.474, dw = -0.06154, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 68, w1 = 4775.885, w2 = 4675.196, dw = -0.06102, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 69, w1 = 4736.423, w2 = 4636.568, dw = -0.06052, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 70, w1 = 4697.608, w2 = 4598.572, dw = -0.06002, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 71, w1 = 4659.425, w2 = 4561.195, dw = -0.05953, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 72, w1 = 4621.857, w2 = 4524.421, dw = -0.05905, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 73, w1 = 4584.891, w2 = 4488.235, dw = -0.05858, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 74, w1 = 4548.511, w2 = 4452.624, dw = -0.05811, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 75, w1 = 4512.705, w2 = 4417.573, dw = -0.05766, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 76, w1 = 4477.458, w2 = 4383.07, dw = -0.0572, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 77, w1 = 4442.757, w2 = 4349.103, dw = -0.05676, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 78, w1 = 4408.591, w2 = 4315.658, dw = -0.05632, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 79, w1 = 4374.946, w2 = 4282.723, dw = -0.05589, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 80, w1 = 4341.811, w2 = 4250.288, dw = -0.05547, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 81, w1 = 4309.174, w2 = 4218.341, dw = -0.05505, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 82, w1 = 4277.025, w2 = 4186.87, dw = -0.05464, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 83, w1 = 4245.351, w2 = 4155.866, dw = -0.05423, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 84, w1 = 4214.144, w2 = 4125.318, dw = -0.05383, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 85, w1 = 4183.393, w2 = 4095.216, dw = -0.05344, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 86, w1 = 4153.087, w2 = 4065.55, dw = -0.05305, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 87, w1 = 4123.217, w2 = 4036.311, dw = -0.05267, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 88, w1 = 4093.774, w2 = 4007.49, dw = -0.05229, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 89, w1 = 4064.748, w2 = 3979.078, dw = -0.05192, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 90, w1 = 4036.132, w2 = 3951.066, dw = -0.05155, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 91, w1 = 4007.915, w2 = 3923.446, dw = -0.05119, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 92, w1 = 3980.091, w2 = 3896.21, dw = -0.05084, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 93, w1 = 3952.651, w2 = 3869.349, dw = -0.05049, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 94, w1 = 3925.586, w2 = 3842.857, dw = -0.05014, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 95, w1 = 3898.89, w2 = 3816.725, dw = -0.0498, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 96, w1 = 3872.554, w2 = 3790.946, dw = -0.04946, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 97, w1 = 3846.572, w2 = 3765.513, dw = -0.04913, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 98, w1 = 3820.936, w2 = 3740.42, dw = -0.0488, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 99, w1 = 3795.64, w2 = 3715.659, dw = -0.04847, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 100, w1 = 3770.677, w2 = 3691.224, dw = -0.04815, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 101, w1 = 3746.04, w2 = 3667.108, dw = -0.04784, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 102, w1 = 3721.723, w2 = 3643.306, dw = -0.04753, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 103, w1 = 3697.72, w2 = 3619.811, dw = -0.04722, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 104, w1 = 3674.024, w2 = 3596.617, dw = -0.04691, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 105, w1 = 3650.631, w2 = 3573.719, dw = -0.04661, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 106, w1 = 3627.533, w2 = 3551.111, dw = -0.04632, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 107, w1 = 3604.726, w2 = 3528.787, dw = -0.04602, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 108, w1 = 3582.204, w2 = 3506.743, dw = -0.04573, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 109, w1 = 3559.962, w2 = 3484.972, dw = -0.04545, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 110, w1 = 3537.994, w2 = 3463.47, dw = -0.04517, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 111, w1 = 3516.296, w2 = 3442.232, dw = -0.04489, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 112, w1 = 3494.862, w2 = 3421.254, dw = -0.04461, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 113, w1 = 3473.688, w2 = 3400.529, dw = -0.04434, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 114, w1 = 3452.769, w2 = 3380.055, dw = -0.04407, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 115, w1 = 3432.101, w2 = 3359.826, dw = -0.0438, nw = 1651 EchelleThAr.0034.ec.fits: REFSPEC1 = 'EchelleThAr.0034.ec 1.' zEchelleThAr.0034.ec.fits: ap = 1, w1 = 10812.27, w2 = 10584.15, dw = -0.13825, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 2, w1 = 10612.06, w2 = 10388.16, dw = -0.1357, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 3, w1 = 10419.13, w2 = 10199.3, dw = -0.13323, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 4, w1 = 10233.1, w2 = 10017.19, dw = -0.13085, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 5, w1 = 10053.59, w2 = 9841.463, dw = -0.12856, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 6, w1 = 9880.265, w2 = 9671.797, dw = -0.12634, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 7, w1 = 9712.819, w2 = 9507.883, dw = -0.1242, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 8, w1 = 9550.954, w2 = 9349.433, dw = -0.12213, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 9, w1 = 9394.396, w2 = 9196.177, dw = -0.12013, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 10, w1 = 9242.888, w2 = 9047.866, dw = -0.1182, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 11, w1 = 9096.189, w2 = 8904.263, dw = -0.11632, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 12, w1 = 8954.074, w2 = 8765.147, dw = -0.1145, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 13, w1 = 8816.332, w2 = 8630.312, dw = -0.11274, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 14, w1 = 8682.764, w2 = 8499.563, dw = -0.11103, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 15, w1 = 8553.182, w2 = 8372.716, dw = -0.10937, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 16, w1 = 8427.412, w2 = 8249.601, dw = -0.10776, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 17, w1 = 8305.287, w2 = 8130.054, dw = -0.1062, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 18, w1 = 8186.651, w2 = 8013.923, dw = -0.10468, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 19, w1 = 8071.357, w2 = 7901.063, dw = -0.10321, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 20, w1 = 7959.265, w2 = 7791.338, dw = -0.10177, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 21, w1 = 7850.244, w2 = 7684.619, dw = -0.10038, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 22, w1 = 7744.17, w2 = 7580.785, dw = -0.09902, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 23, w1 = 7640.924, w2 = 7479.72, dw = -0.0977, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 24, w1 = 7540.395, w2 = 7381.314, dw = -0.09641, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 25, w1 = 7442.478, w2 = 7285.464, dw = -0.09516, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 26, w1 = 7347.071, w2 = 7192.072, dw = -0.09394, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 27, w1 = 7254.079, w2 = 7101.044, dw = -0.09275, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 28, w1 = 7163.412, w2 = 7012.292, dw = -0.09159, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 29, w1 = 7074.984, w2 = 6925.732, dw = -0.09046, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 30, w1 = 6988.712, w2 = 6841.283, dw = -0.08935, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 31, w1 = 6904.519, w2 = 6758.868, dw = -0.08827, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 32, w1 = 6822.331, w2 = 6678.416, dw = -0.08722, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 33, w1 = 6742.077, w2 = 6599.857, dw = -0.08619, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 34, w1 = 6663.689, w2 = 6523.126, dw = -0.08519, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 35, w1 = 6587.103, w2 = 6448.158, dw = -0.08421, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 36, w1 = 6512.258, w2 = 6374.893, dw = -0.08325, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 37, w1 = 6439.095, w2 = 6303.276, dw = -0.08231, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 38, w1 = 6367.558, w2 = 6233.25, dw = -0.0814, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 39, w1 = 6297.593, w2 = 6164.763, dw = -0.0805, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 40, w1 = 6229.149, w2 = 6097.764, dw = -0.07963, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 41, w1 = 6162.177, w2 = 6032.207, dw = -0.07877, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 42, w1 = 6096.63, w2 = 5968.045, dw = -0.07793, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 43, w1 = 6032.463, w2 = 5905.233, dw = -0.07711, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 44, w1 = 5969.633, w2 = 5843.73, dw = -0.0763, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 45, w1 = 5908.098, w2 = 5783.496, dw = -0.07552, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 46, w1 = 5847.819, w2 = 5724.49, dw = -0.07474, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 47, w1 = 5788.759, w2 = 5666.677, dw = -0.07399, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 48, w1 = 5730.879, w2 = 5610.02, dw = -0.07325, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 49, w1 = 5674.146, w2 = 5554.485, dw = -0.07252, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 50, w1 = 5618.525, w2 = 5500.039, dw = -0.07181, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 51, w1 = 5563.984, w2 = 5446.65, dw = -0.07111, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 52, w1 = 5510.492, w2 = 5394.288, dw = -0.07043, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 53, w1 = 5458.02, w2 = 5342.924, dw = -0.06976, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 54, w1 = 5406.537, w2 = 5292.528, dw = -0.0691, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 55, w1 = 5356.017, w2 = 5243.075, dw = -0.06845, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 56, w1 = 5306.432, w2 = 5194.538, dw = -0.06781, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 57, w1 = 5257.757, w2 = 5146.891, dw = -0.06719, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 58, w1 = 5209.967, w2 = 5100.111, dw = -0.06658, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 59, w1 = 5163.039, w2 = 5054.173, dw = -0.06598, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 60, w1 = 5116.949, w2 = 5009.056, dw = -0.06539, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 61, w1 = 5071.674, w2 = 4964.738, dw = -0.06481, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 62, w1 = 5027.194, w2 = 4921.197, dw = -0.06424, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 63, w1 = 4983.487, w2 = 4878.414, dw = -0.06368, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 64, w1 = 4940.534, w2 = 4836.368, dw = -0.06313, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 65, w1 = 4898.315, w2 = 4795.041, dw = -0.06259, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 66, w1 = 4856.812, w2 = 4754.415, dw = -0.06206, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 67, w1 = 4816.007, w2 = 4714.471, dw = -0.06154, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 68, w1 = 4775.882, w2 = 4675.193, dw = -0.06102, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 69, w1 = 4736.42, w2 = 4636.565, dw = -0.06052, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 70, w1 = 4697.605, w2 = 4598.57, dw = -0.06002, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 71, w1 = 4659.421, w2 = 4561.193, dw = -0.05953, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 72, w1 = 4621.853, w2 = 4524.419, dw = -0.05905, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 73, w1 = 4584.886, w2 = 4488.233, dw = -0.05858, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 74, w1 = 4548.506, w2 = 4452.622, dw = -0.05811, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 75, w1 = 4512.699, w2 = 4417.571, dw = -0.05765, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 76, w1 = 4477.452, w2 = 4383.069, dw = -0.0572, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 77, w1 = 4442.751, w2 = 4349.101, dw = -0.05676, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 78, w1 = 4408.583, w2 = 4315.656, dw = -0.05632, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 79, w1 = 4374.938, w2 = 4282.722, dw = -0.05589, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 80, w1 = 4341.802, w2 = 4250.287, dw = -0.05546, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 81, w1 = 4309.165, w2 = 4218.34, dw = -0.05505, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 82, w1 = 4277.015, w2 = 4186.87, dw = -0.05463, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 83, w1 = 4245.341, w2 = 4155.866, dw = -0.05423, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 84, w1 = 4214.132, w2 = 4125.318, dw = -0.05383, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 85, w1 = 4183.38, w2 = 4095.216, dw = -0.05343, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 86, w1 = 4153.073, w2 = 4065.551, dw = -0.05304, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 87, w1 = 4123.202, w2 = 4036.312, dw = -0.05266, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 88, w1 = 4093.758, w2 = 4007.492, dw = -0.05228, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 89, w1 = 4064.731, w2 = 3979.08, dw = -0.05191, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 90, w1 = 4036.114, w2 = 3951.069, dw = -0.05154, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 91, w1 = 4007.896, w2 = 3923.449, dw = -0.05118, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 92, w1 = 3980.07, w2 = 3896.213, dw = -0.05082, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 93, w1 = 3952.628, w2 = 3869.353, dw = -0.05047, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 94, w1 = 3925.562, w2 = 3842.861, dw = -0.05012, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 95, w1 = 3898.864, w2 = 3816.73, dw = -0.04978, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 96, w1 = 3872.527, w2 = 3790.952, dw = -0.04944, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 97, w1 = 3846.543, w2 = 3765.52, dw = -0.0491, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 98, w1 = 3820.906, w2 = 3740.427, dw = -0.04877, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 99, w1 = 3795.608, w2 = 3715.667, dw = -0.04845, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 100, w1 = 3770.642, w2 = 3691.232, dw = -0.04813, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 101, w1 = 3746.003, w2 = 3667.118, dw = -0.04781, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 102, w1 = 3721.684, w2 = 3643.316, dw = -0.0475, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 103, w1 = 3697.679, w2 = 3619.822, dw = -0.04719, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 104, w1 = 3673.981, w2 = 3596.629, dw = -0.04688, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 105, w1 = 3650.585, w2 = 3573.732, dw = -0.04658, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 106, w1 = 3627.485, w2 = 3551.124, dw = -0.04628, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 107, w1 = 3604.675, w2 = 3528.801, dw = -0.04598, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 108, w1 = 3582.15, w2 = 3506.758, dw = -0.04569, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 109, w1 = 3559.905, w2 = 3484.988, dw = -0.0454, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 110, w1 = 3537.935, w2 = 3463.487, dw = -0.04512, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 111, w1 = 3516.233, w2 = 3442.251, dw = -0.04484, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 112, w1 = 3494.797, w2 = 3421.273, dw = -0.04456, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 113, w1 = 3473.62, w2 = 3400.55, dw = -0.04428, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 114, w1 = 3452.697, w2 = 3380.076, dw = -0.04401, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 115, w1 = 3432.025, w2 = 3359.848, dw = -0.04374, 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 9 11:29: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140605.0022.ec.fits[ 1] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 2] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 3] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 4] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 5] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 6] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 7] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 8] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 9] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 10] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 11] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 12] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 13] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 14] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 15] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 16] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 17] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 18] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 19] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 20] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 21] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 22] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 23] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 24] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 25] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 26] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 27] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 28] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 29] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 30] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 31] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 32] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 33] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 34] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 35] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 36] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 37] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 38] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 39] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 40] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 41] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 42] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 43] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 44] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 45] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 46] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 47] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 48] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 49] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 50] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 51] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 52] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 53] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 54] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 55] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 56] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 57] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 58] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 59] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 60] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 61] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 62] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 63] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 64] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 65] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 66] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 67] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 68] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 69] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 70] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 71] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 72] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 73] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 74] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 75] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 76] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 77] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 78] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 79] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 80] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 81] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 82] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 83] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 84] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 85] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 86] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 87] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 88] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 89] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 90] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 91] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 92] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 93] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 94] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 95] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 96] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 97] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 98] 900.0 1.000 0. 0.009 140605.0022.ec.fits[ 99] 900.0 1.000 0. 0.009 140605.0022.ec.fits[100] 900.0 1.000 0. 0.009 140605.0022.ec.fits[101] 900.0 1.000 0. 0.009 140605.0022.ec.fits[102] 900.0 1.000 0. 0.009 140605.0022.ec.fits[103] 900.0 1.000 0. 0.009 140605.0022.ec.fits[104] 900.0 1.000 0. 0.009 140605.0022.ec.fits[105] 900.0 1.000 0. 0.009 140605.0022.ec.fits[106] 900.0 1.000 0. 0.009 140605.0022.ec.fits[107] 900.0 1.000 0. 0.009 140605.0022.ec.fits[108] 900.0 1.000 0. 0.009 140605.0022.ec.fits[109] 900.0 1.000 0. 0.009 140605.0022.ec.fits[110] 900.0 1.000 0. 0.009 140605.0022.ec.fits[111] 900.0 1.000 0. 0.009 140605.0022.ec.fits[112] 900.0 1.000 0. 0.009 140605.0022.ec.fits[113] 900.0 1.000 0. 0.009 140605.0022.ec.fits[114] 900.0 1.000 0. 0.009 140605.0022.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum140605.0022.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.803, w2 = 10812.37, dw = 0.04389001, nw = 169802., dtype = 0 Jun 9 11:30: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140605.0023.ec.fits[ 1] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 2] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 3] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 4] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 5] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 6] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 7] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 8] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 9] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 10] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 11] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 12] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 13] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 14] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 15] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 16] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 17] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 18] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 19] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 20] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 21] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 22] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 23] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 24] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 25] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 26] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 27] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 28] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 29] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 30] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 31] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 32] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 33] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 34] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 35] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 36] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 37] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 38] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 39] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 40] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 41] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 42] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 43] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 44] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 45] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 46] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 47] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 48] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 49] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 50] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 51] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 52] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 53] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 54] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 55] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 56] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 57] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 58] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 59] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 60] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 61] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 62] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 63] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 64] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 65] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 66] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 67] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 68] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 69] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 70] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 71] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 72] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 73] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 74] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 75] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 76] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 77] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 78] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 79] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 80] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 81] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 82] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 83] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 84] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 85] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 86] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 87] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 88] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 89] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 90] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 91] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 92] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 93] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 94] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 95] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 96] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 97] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 98] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[ 99] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[100] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[101] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[102] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[103] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[104] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[105] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[106] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[107] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[108] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[109] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[110] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[111] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[112] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[113] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[114] 1500.0 1.000 0. 0.009 140605.0023.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum140605.0023.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.795, w2 = 10812.34, dw = 0.04386071, nw = 169915., dtype = 0 Jun 9 11:30: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140605.0024.ec.fits[ 1] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 2] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 3] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 4] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 5] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 6] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 7] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 8] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 9] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 10] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 11] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 12] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 13] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 14] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 15] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 16] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 17] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 18] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 19] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 20] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 21] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 22] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 23] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 24] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 25] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 26] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 27] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 28] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 29] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 30] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 31] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 32] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 33] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 34] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 35] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 36] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 37] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 38] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 39] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 40] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 41] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 42] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 43] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 44] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 45] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 46] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 47] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 48] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 49] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 50] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 51] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 52] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 53] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 54] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 55] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 56] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 57] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 58] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 59] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 60] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 61] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 62] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 63] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 64] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 65] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 66] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 67] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 68] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 69] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 70] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 71] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 72] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 73] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 74] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 75] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 76] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 77] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 78] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 79] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 80] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 81] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 82] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 83] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 84] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 85] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 86] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 87] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 88] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 89] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 90] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 91] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 92] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 93] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 94] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 95] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 96] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 97] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 98] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[ 99] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[100] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[101] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[102] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[103] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[104] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[105] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[106] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[107] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[108] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[109] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[110] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[111] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[112] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[113] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[114] 1200.0 1.000 0. 0.009 140605.0024.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum140605.0024.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.786, w2 = 10812.32, dw = 0.04382862, nw = 170039., dtype = 0 Jun 9 11:31: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140605.0026.ec.fits[ 1] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 2] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 3] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 4] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 5] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 6] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 7] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 8] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 9] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 10] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 11] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 12] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 13] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 14] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 15] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 16] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 17] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 18] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 19] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 20] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 21] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 22] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 23] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 24] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 25] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 26] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 27] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 28] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 29] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 30] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 31] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 32] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 33] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 34] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 35] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 36] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 37] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 38] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 39] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 40] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 41] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 42] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 43] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 44] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 45] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 46] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 47] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 48] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 49] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 50] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 51] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 52] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 53] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 54] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 55] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 56] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 57] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 58] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 59] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 60] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 61] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 62] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 63] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 64] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 65] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 66] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 67] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 68] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 69] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 70] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 71] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 72] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 73] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 74] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 75] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 76] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 77] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 78] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 79] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 80] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 81] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 82] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 83] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 84] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 85] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 86] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 87] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 88] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 89] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 90] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 91] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 92] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 93] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 94] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 95] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 96] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 97] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 98] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[ 99] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[100] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[101] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[102] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[103] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[104] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[105] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[106] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[107] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[108] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[109] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[110] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[111] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[112] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[113] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[114] 1200.0 1.000 0. 0.009 140605.0026.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum140605.0026.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.789, w2 = 10812.3, dw = 0.0438102, nw = 170110., dtype = 0 Jun 9 11:32: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140605.0027.ec.fits[ 1] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 2] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 3] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 4] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 5] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 6] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 7] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 8] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 9] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 10] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 11] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 12] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 13] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 14] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 15] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 16] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 17] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 18] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 19] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 20] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 21] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 22] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 23] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 24] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 25] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 26] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 27] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 28] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 29] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 30] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 31] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 32] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 33] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 34] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 35] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 36] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 37] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 38] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 39] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 40] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 41] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 42] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 43] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 44] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 45] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 46] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 47] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 48] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 49] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 50] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 51] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 52] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 53] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 54] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 55] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 56] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 57] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 58] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 59] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 60] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 61] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 62] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 63] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 64] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 65] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 66] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 67] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 68] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 69] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 70] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 71] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 72] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 73] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 74] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 75] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 76] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 77] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 78] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 79] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 80] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 81] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 82] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 83] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 84] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 85] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 86] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 87] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 88] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 89] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 90] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 91] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 92] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 93] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 94] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 95] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 96] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 97] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 98] 900.0 1.000 0. 0.009 140605.0027.ec.fits[ 99] 900.0 1.000 0. 0.009 140605.0027.ec.fits[100] 900.0 1.000 0. 0.009 140605.0027.ec.fits[101] 900.0 1.000 0. 0.009 140605.0027.ec.fits[102] 900.0 1.000 0. 0.009 140605.0027.ec.fits[103] 900.0 1.000 0. 0.009 140605.0027.ec.fits[104] 900.0 1.000 0. 0.009 140605.0027.ec.fits[105] 900.0 1.000 0. 0.009 140605.0027.ec.fits[106] 900.0 1.000 0. 0.009 140605.0027.ec.fits[107] 900.0 1.000 0. 0.009 140605.0027.ec.fits[108] 900.0 1.000 0. 0.009 140605.0027.ec.fits[109] 900.0 1.000 0. 0.009 140605.0027.ec.fits[110] 900.0 1.000 0. 0.009 140605.0027.ec.fits[111] 900.0 1.000 0. 0.009 140605.0027.ec.fits[112] 900.0 1.000 0. 0.009 140605.0027.ec.fits[113] 900.0 1.000 0. 0.009 140605.0027.ec.fits[114] 900.0 1.000 0. 0.009 140605.0027.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum140605.0027.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.803, w2 = 10812.29, dw = 0.04380775, nw = 170119., dtype = 0 Jun 9 11:32: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140605.0028.ec.fits[ 1] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 2] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 3] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 4] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 5] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 6] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 7] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 8] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 9] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 10] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 11] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 12] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 13] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 14] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 15] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 16] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 17] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 18] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 19] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 20] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 21] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 22] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 23] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 24] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 25] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 26] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 27] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 28] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 29] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 30] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 31] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 32] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 33] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 34] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 35] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 36] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 37] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 38] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 39] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 40] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 41] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 42] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 43] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 44] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 45] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 46] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 47] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 48] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 49] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 50] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 51] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 52] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 53] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 54] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 55] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 56] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 57] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 58] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 59] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 60] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 61] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 62] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 63] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 64] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 65] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 66] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 67] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 68] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 69] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 70] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 71] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 72] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 73] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 74] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 75] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 76] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 77] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 78] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 79] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 80] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 81] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 82] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 83] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 84] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 85] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 86] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 87] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 88] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 89] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 90] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 91] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 92] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 93] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 94] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 95] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 96] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 97] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 98] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[ 99] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[100] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[101] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[102] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[103] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[104] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[105] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[106] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[107] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[108] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[109] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[110] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[111] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[112] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[113] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[114] 1500.0 1.000 0. 0.009 140605.0028.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum140605.0028.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.817, w2 = 10812.28, dw = 0.04380478, nw = 170130., dtype = 0 Jun 9 11:33: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140605.0030.ec.fits[ 1] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 2] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 3] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 4] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 5] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 6] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 7] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 8] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 9] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 10] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 11] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 12] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 13] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 14] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 15] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 16] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 17] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 18] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 19] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 20] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 21] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 22] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 23] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 24] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 25] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 26] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 27] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 28] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 29] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 30] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 31] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 32] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 33] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 34] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 35] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 36] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 37] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 38] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 39] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 40] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 41] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 42] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 43] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 44] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 45] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 46] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 47] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 48] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 49] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 50] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 51] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 52] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 53] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 54] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 55] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 56] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 57] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 58] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 59] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 60] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 61] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 62] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 63] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 64] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 65] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 66] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 67] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 68] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 69] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 70] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 71] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 72] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 73] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 74] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 75] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 76] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 77] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 78] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 79] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 80] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 81] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 82] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 83] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 84] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 85] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 86] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 87] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 88] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 89] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 90] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 91] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 92] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 93] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 94] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 95] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 96] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 97] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 98] 720.0 1.000 0. 0.009 140605.0030.ec.fits[ 99] 720.0 1.000 0. 0.009 140605.0030.ec.fits[100] 720.0 1.000 0. 0.009 140605.0030.ec.fits[101] 720.0 1.000 0. 0.009 140605.0030.ec.fits[102] 720.0 1.000 0. 0.009 140605.0030.ec.fits[103] 720.0 1.000 0. 0.009 140605.0030.ec.fits[104] 720.0 1.000 0. 0.009 140605.0030.ec.fits[105] 720.0 1.000 0. 0.009 140605.0030.ec.fits[106] 720.0 1.000 0. 0.009 140605.0030.ec.fits[107] 720.0 1.000 0. 0.009 140605.0030.ec.fits[108] 720.0 1.000 0. 0.009 140605.0030.ec.fits[109] 720.0 1.000 0. 0.009 140605.0030.ec.fits[110] 720.0 1.000 0. 0.009 140605.0030.ec.fits[111] 720.0 1.000 0. 0.009 140605.0030.ec.fits[112] 720.0 1.000 0. 0.009 140605.0030.ec.fits[113] 720.0 1.000 0. 0.009 140605.0030.ec.fits[114] 720.0 1.000 0. 0.009 140605.0030.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum140605.0030.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.828, w2 = 10812.27, dw = 0.04379721, nw = 170159., dtype = 0 Jun 9 11:33: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140605.0031.ec.fits[ 1] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 2] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 3] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 4] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 5] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 6] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 7] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 8] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 9] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 10] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 11] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 12] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 13] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 14] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 15] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 16] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 17] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 18] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 19] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 20] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 21] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 22] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 23] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 24] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 25] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 26] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 27] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 28] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 29] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 30] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 31] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 32] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 33] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 34] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 35] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 36] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 37] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 38] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 39] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 40] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 41] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 42] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 43] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 44] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 45] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 46] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 47] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 48] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 49] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 50] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 51] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 52] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 53] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 54] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 55] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 56] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 57] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 58] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 59] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 60] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 61] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 62] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 63] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 64] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 65] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 66] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 67] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 68] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 69] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 70] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 71] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 72] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 73] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 74] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 75] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 76] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 77] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 78] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 79] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 80] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 81] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 82] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 83] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 84] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 85] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 86] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 87] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 88] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 89] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 90] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 91] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 92] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 93] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 94] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 95] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 96] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 97] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 98] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[ 99] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[100] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[101] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[102] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[103] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[104] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[105] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[106] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[107] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[108] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[109] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[110] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[111] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[112] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[113] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[114] 1500.0 1.000 0. 0.009 140605.0031.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum140605.0031.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.833, w2 = 10812.27, dw = 0.04378225, nw = 170217., dtype = 0 Jun 9 11:34: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140605.0032.ec.fits[ 1] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 2] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 3] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 4] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 5] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 6] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 7] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 8] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 9] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 10] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 11] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 12] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 13] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 14] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 15] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 16] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 17] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 18] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 19] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 20] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 21] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 22] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 23] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 24] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 25] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 26] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 27] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 28] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 29] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 30] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 31] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 32] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 33] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 34] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 35] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 36] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 37] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 38] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 39] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 40] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 41] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 42] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 43] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 44] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 45] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 46] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 47] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 48] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 49] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 50] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 51] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 52] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 53] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 54] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 55] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 56] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 57] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 58] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 59] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 60] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 61] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 62] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 63] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 64] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 65] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 66] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 67] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 68] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 69] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 70] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 71] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 72] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 73] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 74] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 75] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 76] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 77] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 78] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 79] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 80] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 81] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 82] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 83] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 84] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 85] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 86] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 87] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 88] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 89] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 90] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 91] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 92] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 93] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 94] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 95] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 96] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 97] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 98] 900.0 1.000 0. 0.009 140605.0032.ec.fits[ 99] 900.0 1.000 0. 0.009 140605.0032.ec.fits[100] 900.0 1.000 0. 0.009 140605.0032.ec.fits[101] 900.0 1.000 0. 0.009 140605.0032.ec.fits[102] 900.0 1.000 0. 0.009 140605.0032.ec.fits[103] 900.0 1.000 0. 0.009 140605.0032.ec.fits[104] 900.0 1.000 0. 0.009 140605.0032.ec.fits[105] 900.0 1.000 0. 0.009 140605.0032.ec.fits[106] 900.0 1.000 0. 0.009 140605.0032.ec.fits[107] 900.0 1.000 0. 0.009 140605.0032.ec.fits[108] 900.0 1.000 0. 0.009 140605.0032.ec.fits[109] 900.0 1.000 0. 0.009 140605.0032.ec.fits[110] 900.0 1.000 0. 0.009 140605.0032.ec.fits[111] 900.0 1.000 0. 0.009 140605.0032.ec.fits[112] 900.0 1.000 0. 0.009 140605.0032.ec.fits[113] 900.0 1.000 0. 0.009 140605.0032.ec.fits[114] 900.0 1.000 0. 0.009 140605.0032.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum140605.0032.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.84, w2 = 10812.27, dw = 0.04376626, nw = 170279., dtype = 0 Jun 9 11:35: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140605.0033.ec.fits[ 1] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 2] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 3] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 4] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 5] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 6] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 7] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 8] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 9] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 10] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 11] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 12] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 13] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 14] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 15] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 16] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 17] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 18] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 19] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 20] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 21] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 22] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 23] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 24] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 25] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 26] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 27] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 28] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 29] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 30] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 31] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 32] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 33] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 34] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 35] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 36] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 37] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 38] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 39] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 40] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 41] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 42] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 43] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 44] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 45] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 46] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 47] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 48] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 49] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 50] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 51] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 52] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 53] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 54] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 55] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 56] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 57] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 58] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 59] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 60] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 61] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 62] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 63] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 64] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 65] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 66] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 67] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 68] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 69] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 70] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 71] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 72] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 73] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 74] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 75] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 76] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 77] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 78] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 79] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 80] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 81] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 82] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 83] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 84] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 85] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 86] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 87] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 88] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 89] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 90] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 91] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 92] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 93] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 94] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 95] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 96] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 97] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 98] 900.0 1.000 0. 0.009 140605.0033.ec.fits[ 99] 900.0 1.000 0. 0.009 140605.0033.ec.fits[100] 900.0 1.000 0. 0.009 140605.0033.ec.fits[101] 900.0 1.000 0. 0.009 140605.0033.ec.fits[102] 900.0 1.000 0. 0.009 140605.0033.ec.fits[103] 900.0 1.000 0. 0.009 140605.0033.ec.fits[104] 900.0 1.000 0. 0.009 140605.0033.ec.fits[105] 900.0 1.000 0. 0.009 140605.0033.ec.fits[106] 900.0 1.000 0. 0.009 140605.0033.ec.fits[107] 900.0 1.000 0. 0.009 140605.0033.ec.fits[108] 900.0 1.000 0. 0.009 140605.0033.ec.fits[109] 900.0 1.000 0. 0.009 140605.0033.ec.fits[110] 900.0 1.000 0. 0.009 140605.0033.ec.fits[111] 900.0 1.000 0. 0.009 140605.0033.ec.fits[112] 900.0 1.000 0. 0.009 140605.0033.ec.fits[113] 900.0 1.000 0. 0.009 140605.0033.ec.fits[114] 900.0 1.000 0. 0.009 140605.0033.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum140605.0033.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.845, w2 = 10812.27, dw = 0.04375131, nw = 170337., dtype = 0 Jun 9 11:35: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140605.0022.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[100] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[101] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[102] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[103] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[104] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[105] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[106] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[107] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[108] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[109] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[110] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[111] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[112] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[113] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[114] 900.0 1.000 0. 0.009 fitcont140605.0022.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont140605.0022.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.803, w2 = 10812.37, dw = 0.04389001, nw = 169802., dtype = 0 Jun 9 11:36: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140605.0023.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont140605.0023.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont140605.0023.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.795, w2 = 10812.34, dw = 0.04386071, nw = 169915., dtype = 0 Jun 9 11:36: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140605.0024.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont140605.0024.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont140605.0024.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.786, w2 = 10812.32, dw = 0.04382862, nw = 170039., dtype = 0 Jun 9 11:37: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140605.0026.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont140605.0026.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont140605.0026.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.789, w2 = 10812.3, dw = 0.0438102, nw = 170110., dtype = 0 Jun 9 11:37: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140605.0027.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[100] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[101] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[102] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[103] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[104] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[105] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[106] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[107] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[108] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[109] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[110] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[111] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[112] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[113] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[114] 900.0 1.000 0. 0.009 fitcont140605.0027.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont140605.0027.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.803, w2 = 10812.29, dw = 0.04380775, nw = 170119., dtype = 0 Jun 9 11:38: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140605.0028.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont140605.0028.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont140605.0028.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.817, w2 = 10812.28, dw = 0.04380478, nw = 170130., dtype = 0 Jun 9 11:39: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140605.0030.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[100] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[101] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[102] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[103] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[104] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[105] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[106] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[107] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[108] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[109] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[110] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[111] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[112] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[113] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[114] 720.0 1.000 0. 0.009 fitcont140605.0030.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont140605.0030.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.828, w2 = 10812.27, dw = 0.04379721, nw = 170159., dtype = 0 Jun 9 11:39: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140605.0031.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont140605.0031.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont140605.0031.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.833, w2 = 10812.27, dw = 0.04378225, nw = 170217., dtype = 0 Jun 9 11:40: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140605.0032.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[100] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[101] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[102] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[103] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[104] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[105] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[106] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[107] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[108] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[109] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[110] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[111] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[112] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[113] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[114] 900.0 1.000 0. 0.009 fitcont140605.0032.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont140605.0032.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.84, w2 = 10812.27, dw = 0.04376626, nw = 170279., dtype = 0 Jun 9 11:40: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140605.0033.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[100] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[101] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[102] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[103] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[104] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[105] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[106] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[107] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[108] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[109] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[110] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[111] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[112] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[113] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[114] 900.0 1.000 0. 0.009 fitcont140605.0033.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont140605.0033.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.845, w2 = 10812.27, dw = 0.04375131, nw = 170337., dtype = 0 103500. fullspec140605.0022.ec.fits,EXPTIME: 103500. -> 900.0 fullspec140605.0022.ec.fits updated 172500. fullspec140605.0023.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec140605.0023.ec.fits updated 138000. fullspec140605.0024.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec140605.0024.ec.fits updated 138000. fullspec140605.0026.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec140605.0026.ec.fits updated 103500. fullspec140605.0027.ec.fits,EXPTIME: 103500. -> 900.0 fullspec140605.0027.ec.fits updated 172500. fullspec140605.0028.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec140605.0028.ec.fits updated 82799.99 fullspec140605.0030.ec.fits,EXPTIME: 82799.99 -> 719.999913043 fullspec140605.0030.ec.fits updated 172500. fullspec140605.0031.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec140605.0031.ec.fits updated 103500. fullspec140605.0032.ec.fits,EXPTIME: 103500. -> 900.0 fullspec140605.0032.ec.fits updated 103500. fullspec140605.0033.ec.fits,EXPTIME: 103500. -> 900.0 fullspec140605.0033.ec.fits updated ALL DONE! Yay! (=^.^=)