Copying data files and other necessary files Changing to reduced data directory Generating file lists... Warning: FXF: EOF encountered while reading FITS file (EchelleBias.0026.fits) Warning: FXF: EOF encountered while reading FITS file (EchelleBias.0026.fits) Warning: FXF: EOF encountered while reading FITS file (EchelleBias.0026.fits) Warning: FXF: EOF encountered while reading FITS file (EchelleBias.0026.fits) Warning: FXF: EOF encountered while reading FITS file (EchelleBias.0026.fits) Warning: FXF: EOF encountered while reading FITS file (EchelleBias.0026.fits) Setting dispaxis... add 141029.0021.fits,dispaxis = 1 141029.0021.fits updated add 141029.0022.fits,dispaxis = 1 141029.0022.fits updated add 141029.0023.fits,dispaxis = 1 141029.0023.fits updated add 141029.0028.fits,dispaxis = 1 141029.0028.fits updated add 141029.0029.fits,dispaxis = 1 141029.0029.fits updated add 141029.0030.fits,dispaxis = 1 141029.0030.fits updated add 141029.0032.fits,dispaxis = 1 141029.0032.fits updated add 141029.0033.fits,dispaxis = 1 141029.0033.fits updated add 141029.0034.fits,dispaxis = 1 141029.0034.fits updated add 141029.0036.fits,dispaxis = 1 141029.0036.fits updated add 141029.0037.fits,dispaxis = 1 141029.0037.fits updated add 141029.0038.fits,dispaxis = 1 141029.0038.fits updated add 141029.0039.fits,dispaxis = 1 141029.0039.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 EchelleBias.0024.fits,dispaxis = 1 EchelleBias.0024.fits updated add EchelleBias.0025.fits,dispaxis = 1 EchelleBias.0025.fits updated Warning: FXF: EOF encountered while reading FITS file (EchelleBias.0026.fits) 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.0027.fits,dispaxis = 1 EchelleThAr.0027.fits updated add EchelleThAr.0031.fits,dispaxis = 1 EchelleThAr.0031.fits updated add EchelleThAr.0035.fits,dispaxis = 1 EchelleThAr.0035.fits updated add EchelleThAr.0040.fits,dispaxis = 1 EchelleThAr.0040.fits updated add EchelleThAr.0041.fits,dispaxis = 1 EchelleThAr.0041.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 141029.0021.fits with mask echmask.pl FIXPIX: image 141029.0022.fits with mask echmask.pl FIXPIX: image 141029.0023.fits with mask echmask.pl FIXPIX: image 141029.0028.fits with mask echmask.pl FIXPIX: image 141029.0029.fits with mask echmask.pl FIXPIX: image 141029.0030.fits with mask echmask.pl FIXPIX: image 141029.0032.fits with mask echmask.pl FIXPIX: image 141029.0033.fits with mask echmask.pl FIXPIX: image 141029.0034.fits with mask echmask.pl FIXPIX: image 141029.0036.fits with mask echmask.pl FIXPIX: image 141029.0037.fits with mask echmask.pl FIXPIX: image 141029.0038.fits with mask echmask.pl FIXPIX: image 141029.0039.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.0027.fits with mask echmask.pl FIXPIX: image EchelleThAr.0031.fits with mask echmask.pl FIXPIX: image EchelleThAr.0035.fits with mask echmask.pl FIXPIX: image EchelleThAr.0040.fits with mask echmask.pl FIXPIX: image EchelleThAr.0041.fits with mask echmask.pl Nov 3 12:09: 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 1.2 EchelleBias.0004.fits 0.0 EchelleBias.0005.fits 0.9 EchelleBias.0006.fits 0.0 EchelleBias.0007.fits 0.9 EchelleBias.0008.fits 0.0 EchelleBias.0009.fits 0.9 EchelleBias.0010.fits 0.0 EchelleBias.0024.fits 0.4 EchelleBias.0025.fits 0.7 Output image = bias_fid, ncombine = 12 Calibrating object images and flats (bias, and trimming)... 141029.0021.fits: Nov 3 12:09 Trim data section is [200:1850,1:2048] bias_fid: Nov 3 12:09 Trim data section is [200:1850,1:2048] 141029.0021.fits: Nov 3 12:09 Zero level correction image is bias_fid 141029.0022.fits: Nov 3 12:09 Trim data section is [200:1850,1:2048] 141029.0022.fits: Nov 3 12:09 Zero level correction image is bias_fid 141029.0023.fits: Nov 3 12:09 Trim data section is [200:1850,1:2048] 141029.0023.fits: Nov 3 12:09 Zero level correction image is bias_fid 141029.0028.fits: Nov 3 12:09 Trim data section is [200:1850,1:2048] 141029.0028.fits: Nov 3 12:09 Zero level correction image is bias_fid 141029.0029.fits: Nov 3 12:09 Trim data section is [200:1850,1:2048] 141029.0029.fits: Nov 3 12:09 Zero level correction image is bias_fid 141029.0030.fits: Nov 3 12:09 Trim data section is [200:1850,1:2048] 141029.0030.fits: Nov 3 12:09 Zero level correction image is bias_fid 141029.0032.fits: Nov 3 12:09 Trim data section is [200:1850,1:2048] 141029.0032.fits: Nov 3 12:09 Zero level correction image is bias_fid 141029.0033.fits: Nov 3 12:09 Trim data section is [200:1850,1:2048] 141029.0033.fits: Nov 3 12:09 Zero level correction image is bias_fid 141029.0034.fits: Nov 3 12:09 Trim data section is [200:1850,1:2048] 141029.0034.fits: Nov 3 12:09 Zero level correction image is bias_fid 141029.0036.fits: Nov 3 12:09 Trim data section is [200:1850,1:2048] 141029.0036.fits: Nov 3 12:09 Zero level correction image is bias_fid 141029.0037.fits: Nov 3 12:09 Trim data section is [200:1850,1:2048] 141029.0037.fits: Nov 3 12:09 Zero level correction image is bias_fid 141029.0038.fits: Nov 3 12:09 Trim data section is [200:1850,1:2048] 141029.0038.fits: Nov 3 12:09 Zero level correction image is bias_fid 141029.0039.fits: Nov 3 12:09 Trim data section is [200:1850,1:2048] 141029.0039.fits: Nov 3 12:09 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlat.0011.fits: Nov 3 12:09 Trim data section is [200:1850,1:2048] EchelleFlat.0011.fits: Nov 3 12:09 Zero level correction image is bias_fid EchelleFlat.0012.fits: Nov 3 12:09 Trim data section is [200:1850,1:2048] EchelleFlat.0012.fits: Nov 3 12:09 Zero level correction image is bias_fid EchelleFlat.0013.fits: Nov 3 12:09 Trim data section is [200:1850,1:2048] EchelleFlat.0013.fits: Nov 3 12:09 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlatBlue.0014.fits: Nov 3 12:09 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0014.fits: Nov 3 12:09 Zero level correction image is bias_fid EchelleFlatBlue.0015.fits: Nov 3 12:09 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0015.fits: Nov 3 12:09 Zero level correction image is bias_fid EchelleFlatBlue.0016.fits: Nov 3 12:09 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0016.fits: Nov 3 12:09 Zero level correction image is bias_fid Calibrating ThAr arcs... EchelleThAr.0017.fits: Nov 3 12:10 Trim data section is [200:1850,1:2048] EchelleThAr.0017.fits: Nov 3 12:10 Zero level correction image is bias_fid EchelleThAr.0018.fits: Nov 3 12:10 Trim data section is [200:1850,1:2048] EchelleThAr.0018.fits: Nov 3 12:10 Zero level correction image is bias_fid EchelleThAr.0019.fits: Nov 3 12:10 Trim data section is [200:1850,1:2048] EchelleThAr.0019.fits: Nov 3 12:10 Zero level correction image is bias_fid EchelleThAr.0020.fits: Nov 3 12:10 Trim data section is [200:1850,1:2048] EchelleThAr.0020.fits: Nov 3 12:10 Zero level correction image is bias_fid EchelleThAr.0027.fits: Nov 3 12:10 Trim data section is [200:1850,1:2048] EchelleThAr.0027.fits: Nov 3 12:10 Zero level correction image is bias_fid EchelleThAr.0031.fits: Nov 3 12:10 Trim data section is [200:1850,1:2048] EchelleThAr.0031.fits: Nov 3 12:10 Zero level correction image is bias_fid EchelleThAr.0035.fits: Nov 3 12:10 Trim data section is [200:1850,1:2048] EchelleThAr.0035.fits: Nov 3 12:10 Zero level correction image is bias_fid EchelleThAr.0040.fits: Nov 3 12:10 Trim data section is [200:1850,1:2048] EchelleThAr.0040.fits: Nov 3 12:10 Zero level correction image is bias_fid EchelleThAr.0041.fits: Nov 3 12:10 Trim data section is [200:1850,1:2048] EchelleThAr.0041.fits: Nov 3 12:10 Zero level correction image is bias_fid Combining red and blue flats into separate fiducial flats... Nov 3 12:11: 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 Nov 3 12:11: 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... Nov 3 12:11: TRACE - Trace of aperture 98 in flat_fid_mag lost at column 1632. Nov 3 12:11: TRACE - Trace of aperture 98 in flat_fid_mag recovered at column 1633. Nov 3 12:11: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1614. Nov 3 12:11: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1615. Nov 3 12:11: TRACE - Trace of aperture 99 in flat_fid_mag recovered at column 1616. Nov 3 12:11: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1618. Nov 3 12:11: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1619. Nov 3 12:11: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1620. Nov 3 12:11: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1583. Nov 3 12:11: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1584. Nov 3 12:11: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1646. Nov 3 12:11: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1647. Nov 3 12:11: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1648. Nov 3 12:11: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1649. Nov 3 12:11: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1650. Nov 3 12:11: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 131. Nov 3 12:11: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 130. Nov 3 12:11: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 129. Nov 3 12:11: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1617. Nov 3 12:11: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 1618. Nov 3 12:11: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1623. Nov 3 12:11: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1624. Nov 3 12:11: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 1625. Nov 3 12:11: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1536. Nov 3 12:11: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1537. Nov 3 12:11: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1538. Nov 3 12:11: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 119. Nov 3 12:11: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 118. Nov 3 12:11: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 117. Nov 3 12:11: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1526. Nov 3 12:11: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1527. Nov 3 12:11: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1600. Nov 3 12:11: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1601. Nov 3 12:11: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1646. Nov 3 12:11: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1647. Nov 3 12:11: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1537. Nov 3 12:11: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1538. Nov 3 12:11: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1555. Nov 3 12:11: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1556. Nov 3 12:11: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1557. Nov 3 12:11: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 190. Nov 3 12:11: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 189. Nov 3 12:11: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 188. Nov 3 12:11: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 187. Nov 3 12:11: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 186. Nov 3 12:11: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 177. Nov 3 12:11: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 176. Nov 3 12:11: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 175. Nov 3 12:11: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1569. Nov 3 12:11: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1570. Nov 3 12:11: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1592. Nov 3 12:11: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1593. Nov 3 12:11: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1595. Nov 3 12:11: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1596. Nov 3 12:11: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1597. Nov 3 12:11: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1642. Nov 3 12:11: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1643. Nov 3 12:11: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1645. Nov 3 12:11: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1646. Nov 3 12:11: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1647. Nov 3 12:11: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 148. Nov 3 12:11: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 147. Nov 3 12:11: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 146. Nov 3 12:11: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 102. Nov 3 12:11: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 101. Nov 3 12:11: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1589. Nov 3 12:11: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1590. Nov 3 12:11: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1621. Nov 3 12:11: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1622. Nov 3 12:11: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1623. Nov 3 12:11: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1626. Nov 3 12:11: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1627. Nov 3 12:11: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1636. Nov 3 12:11: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1637. Nov 3 12:11: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1638. Nov 3 12:11: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1640. Nov 3 12:11: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1641. Nov 3 12:11: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1642. Nov 3 12:11: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 217. Nov 3 12:11: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 216. Nov 3 12:11: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 210. Nov 3 12:11: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 209. Nov 3 12:11: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 171. Nov 3 12:11: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 170. Nov 3 12:11: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 164. Nov 3 12:11: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 163. Nov 3 12:11: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 161. Nov 3 12:11: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 160. Nov 3 12:11: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 149. Nov 3 12:11: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 148. Nov 3 12:11: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 147. Nov 3 12:11: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1496. Nov 3 12:11: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1497. Nov 3 12:11: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1499. Nov 3 12:11: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1500. Nov 3 12:11: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1501. Nov 3 12:11: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1556. Nov 3 12:11: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1557. Nov 3 12:11: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1560. Nov 3 12:11: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1561. Nov 3 12:11: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1563. Nov 3 12:11: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1564. Nov 3 12:11: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1565. Nov 3 12:11: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1568. Nov 3 12:11: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1569. Nov 3 12:11: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1570. Nov 3 12:11: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 135. Nov 3 12:11: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 134. Nov 3 12:11: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 133. Nov 3 12:11: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 132. Nov 3 12:11: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 131. Nov 3 12:11: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 130. Nov 3 12:11: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1466. Nov 3 12:11: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1467. Nov 3 12:11: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1468. Nov 3 12:11: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1506. Nov 3 12:11: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1507. Nov 3 12:11: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1539. Nov 3 12:11: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1540. Nov 3 12:11: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1557. Nov 3 12:11: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1558. Nov 3 12:11: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1561. Nov 3 12:11: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1562. Nov 3 12:11: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1563. Nov 3 12:11: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1564. Nov 3 12:11: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1565. Nov 3 12:11: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1566. Nov 3 12:11: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1567. Nov 3 12:11: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 207. Nov 3 12:11: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 206. Nov 3 12:11: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 185. Nov 3 12:11: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 184. Nov 3 12:11: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 170. Nov 3 12:11: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 169. Nov 3 12:11: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 168. Nov 3 12:11: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1379. Nov 3 12:11: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1380. Nov 3 12:11: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1439. Nov 3 12:11: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1440. Nov 3 12:11: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1452. Nov 3 12:11: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1453. Nov 3 12:11: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1480. Nov 3 12:11: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1481. Nov 3 12:11: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1513. Nov 3 12:11: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1514. Nov 3 12:11: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1541. Nov 3 12:11: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1542. Nov 3 12:11: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1604. Nov 3 12:11: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1605. Nov 3 12:11: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1606. Nov 3 12:11: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 224. Nov 3 12:11: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 223. Nov 3 12:11: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 184. Nov 3 12:11: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 183. Nov 3 12:11: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 182. Nov 3 12:11: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1299. Nov 3 12:11: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1300. Nov 3 12:11: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1418. Nov 3 12:11: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1419. Nov 3 12:11: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1421. Nov 3 12:11: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1422. Nov 3 12:11: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1437. Nov 3 12:11: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1438. Nov 3 12:11: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1445. Nov 3 12:11: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1446. Nov 3 12:11: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1447. Nov 3 12:11: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 215. Nov 3 12:11: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 214. Nov 3 12:11: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 193. Nov 3 12:11: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 192. Nov 3 12:11: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 191. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1420. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1421. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1437. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1438. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1458. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1459. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1465. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1466. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1502. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1503. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1504. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1505. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1518. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1519. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1520. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1521. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1522. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 302. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 301. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 264. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 263. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 221. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 220. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 219. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 191. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 190. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 188. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 187. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 186. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 169. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 168. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 167. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 150. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 149. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 148. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 139. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 138. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 137. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 117. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 116. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 98. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 97. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 60. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 59. Nov 3 12:11: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 58. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1274. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1275. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1276. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1282. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1283. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1293. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1294. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1311. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1312. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1313. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1320. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1321. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1356. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1357. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1358. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 335. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 334. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 317. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 316. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 302. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 301. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 299. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 298. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 297. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 294. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 293. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 292. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 291. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 290. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 289. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 286. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 285. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 284. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 283. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 282. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 281. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 279. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 278. Nov 3 12:11: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 277. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1217. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1218. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1236. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1237. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1238. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1239. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1240. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1293. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1294. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1301. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1302. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1308. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1309. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1310. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1311. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1312. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1320. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1321. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1334. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1335. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1359. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1360. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1361. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1362. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1393. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1394. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1424. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1425. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1428. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1429. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1430. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 377. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 376. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 356. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 355. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 307. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 306. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 295. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 294. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 278. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 277. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 268. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 267. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 245. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 244. Nov 3 12:11: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 243. Nov 3 12:11: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1057. Nov 3 12:11: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1058. Nov 3 12:11: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1169. Nov 3 12:11: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1170. Nov 3 12:11: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1206. Nov 3 12:11: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1207. Nov 3 12:11: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1234. Nov 3 12:11: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1235. Nov 3 12:11: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1236. Nov 3 12:11: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1239. Nov 3 12:11: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1240. Nov 3 12:11: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1241. Nov 3 12:11: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1277. Nov 3 12:11: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1278. Nov 3 12:11: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1296. Nov 3 12:11: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1297. Nov 3 12:11: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1304. Nov 3 12:11: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1305. Nov 3 12:11: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1306. Nov 3 12:11: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 477. Nov 3 12:11: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 476. Nov 3 12:11: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 475. Nov 3 12:11: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 404. Nov 3 12:11: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 403. Nov 3 12:11: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 392. Nov 3 12:11: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 391. Nov 3 12:11: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 374. Nov 3 12:11: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 373. Nov 3 12:11: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 372. Nov 3 12:11: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1000. Nov 3 12:11: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1001. Nov 3 12:11: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1085. Nov 3 12:11: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1086. Nov 3 12:11: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1088. Nov 3 12:11: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1089. Nov 3 12:11: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1090. Nov 3 12:11: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 512. Nov 3 12:11: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 511. Nov 3 12:11: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 483. Nov 3 12:11: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 482. Nov 3 12:11: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 439. Nov 3 12:11: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 438. Nov 3 12:11: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 437. Nov 3 12:11: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 434. Nov 3 12:11: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 433. Nov 3 12:11: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 408. Nov 3 12:11: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 407. Nov 3 12:11: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 406. Normalizing the superflat... flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits IMARITH: Operation = + Operand1 = nonorm_flat_fid_mag.ec.fits Operand2 = 19.23 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.0027.fits Magnify image EchelleThAr.0027.fits to image EchelleThAr.0027.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.0027.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0027.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0031.fits Magnify image EchelleThAr.0031.fits to image EchelleThAr.0031.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0031.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0031.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0035.fits Magnify image EchelleThAr.0035.fits to image EchelleThAr.0035.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0035.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0035.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0040.fits Magnify image EchelleThAr.0040.fits to image EchelleThAr.0040.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.0040.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0040.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0041.fits Magnify image EchelleThAr.0041.fits to image EchelleThAr.0041.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.0041.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0041.fits updated Applying model apertures to the arc and extracting spectra... Resampling the object by a factor of 4 in the y direction... 141029.0021 Magnify image 141029.0021 to image 141029.0021. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 141029.0021,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141029.0021 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141029.0021 -> noscat141029.0021 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 141029.0022 Magnify image 141029.0022 to image 141029.0022. 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 141029.0022,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141029.0022 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141029.0022 -> noscat141029.0022 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Nov 3 12:13: EXTRACT: WARNING - Aperture 105: Nov 3 12:13: Total variance weighted spectrum flux is 12553.26 Nov 3 12:13: Total unweighted spectrum flux is 5717.624 Nov 3 12:13: EXTRACT: Aperture 105 variance spectrum bias factor is 0.455469 Nov 3 12:13: EXTRACT: WARNING - Aperture 107: Nov 3 12:13: Total variance weighted spectrum flux is 5657.958 Nov 3 12:13: Total unweighted spectrum flux is 2157.714 Nov 3 12:13: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3813591 Nov 3 12:13: EXTRACT: WARNING - Aperture 108: Nov 3 12:13: Total variance weighted spectrum flux is 9854.518 Nov 3 12:13: Total unweighted spectrum flux is 870.1362 Nov 3 12:13: EXTRACT: Aperture 108 variance spectrum bias factor is 0.0882982 Nov 3 12:13: EXTRACT: WARNING - Aperture 109: Nov 3 12:13: Total variance weighted spectrum flux is 6311.453 Nov 3 12:13: Total unweighted spectrum flux is 2757.643 Nov 3 12:13: EXTRACT: Aperture 109 variance spectrum bias factor is 0.4369268 Nov 3 12:13: EXTRACT: WARNING - Aperture 110: Nov 3 12:13: Total variance weighted spectrum flux is 3826.304 Nov 3 12:13: Total unweighted spectrum flux is 488.4503 Nov 3 12:13: EXTRACT: Aperture 110 variance spectrum bias factor is 0.1276559 Nov 3 12:13: EXTRACT: WARNING - Aperture 111: Nov 3 12:13: Total variance weighted spectrum flux is 6363.893 Nov 3 12:13: Total unweighted spectrum flux is 3104.963 Nov 3 12:13: EXTRACT: Aperture 111 variance spectrum bias factor is 0.4879031 Nov 3 12:13: EXTRACT: WARNING - Aperture 112: Nov 3 12:13: Total variance weighted spectrum flux is 6139.731 Nov 3 12:13: Total unweighted spectrum flux is 326.8702 Nov 3 12:13: EXTRACT: Aperture 112 variance spectrum bias factor is 0.05323851 Nov 3 12:13: EXTRACT: WARNING - Aperture 113: Nov 3 12:13: Total variance weighted spectrum flux is 2945.133 Nov 3 12:13: Total unweighted spectrum flux is 1263.473 Nov 3 12:13: EXTRACT: Aperture 113 variance spectrum bias factor is 0.4290039 Nov 3 12:13: EXTRACT: WARNING - Aperture 114: Nov 3 12:13: Total variance weighted spectrum flux is 2671.53 Nov 3 12:13: Total unweighted spectrum flux is 1176.395 Nov 3 12:13: EXTRACT: Aperture 114 variance spectrum bias factor is 0.440345 Nov 3 12:13: EXTRACT: WARNING - Aperture 115: Nov 3 12:13: Total variance weighted spectrum flux is 2254.046 Nov 3 12:13: Total unweighted spectrum flux is -1671.604 Nov 3 12:13: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 141029.0023 Magnify image 141029.0023 to image 141029.0023. 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 141029.0023,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141029.0023 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141029.0023 -> noscat141029.0023 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Nov 3 12:14: EXTRACT: WARNING - Aperture 1: Nov 3 12:14: Total variance weighted spectrum flux is 2280.095 Nov 3 12:14: Total unweighted spectrum flux is -64.61366 Nov 3 12:14: Variance spectrum bias factor ignored Nov 3 12:14: EXTRACT: WARNING - Aperture 106: Nov 3 12:14: Total variance weighted spectrum flux is 11468.34 Nov 3 12:14: Total unweighted spectrum flux is 3162.991 Nov 3 12:14: EXTRACT: Aperture 106 variance spectrum bias factor is 0.275802 Nov 3 12:14: EXTRACT: WARNING - Aperture 107: Nov 3 12:14: Total variance weighted spectrum flux is 6139.168 Nov 3 12:14: Total unweighted spectrum flux is 1859.87 Nov 3 12:14: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3029514 Nov 3 12:14: EXTRACT: WARNING - Aperture 108: Nov 3 12:14: Total variance weighted spectrum flux is 4468.09 Nov 3 12:14: Total unweighted spectrum flux is 2003.404 Nov 3 12:14: EXTRACT: Aperture 108 variance spectrum bias factor is 0.4483804 Nov 3 12:14: EXTRACT: WARNING - Aperture 110: Nov 3 12:14: Total variance weighted spectrum flux is 4806.47 Nov 3 12:14: Total unweighted spectrum flux is 1337.888 Nov 3 12:14: EXTRACT: Aperture 110 variance spectrum bias factor is 0.2783515 Nov 3 12:14: EXTRACT: WARNING - Aperture 111: Nov 3 12:14: Total variance weighted spectrum flux is 5948.824 Nov 3 12:14: Total unweighted spectrum flux is 2359.125 Nov 3 12:14: EXTRACT: Aperture 111 variance spectrum bias factor is 0.39657 Nov 3 12:14: EXTRACT: WARNING - Aperture 112: Nov 3 12:14: Total variance weighted spectrum flux is 4238.294 Nov 3 12:14: Total unweighted spectrum flux is 1405.433 Nov 3 12:14: EXTRACT: Aperture 112 variance spectrum bias factor is 0.3316036 Nov 3 12:14: EXTRACT: WARNING - Aperture 113: Nov 3 12:14: Total variance weighted spectrum flux is 9147.545 Nov 3 12:14: Total unweighted spectrum flux is 1313.531 Nov 3 12:14: EXTRACT: Aperture 113 variance spectrum bias factor is 0.1435938 Nov 3 12:14: EXTRACT: WARNING - Aperture 114: Nov 3 12:14: Total variance weighted spectrum flux is 4789.984 Nov 3 12:14: Total unweighted spectrum flux is 2153.454 Nov 3 12:14: EXTRACT: Aperture 114 variance spectrum bias factor is 0.4495742 Nov 3 12:14: EXTRACT: WARNING - Aperture 115: Nov 3 12:14: Total variance weighted spectrum flux is 4889.459 Nov 3 12:14: Total unweighted spectrum flux is 1805.317 Nov 3 12:14: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3692262 Resampling the object by a factor of 4 in the y direction... 141029.0028 Magnify image 141029.0028 to image 141029.0028. 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 141029.0028,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141029.0028 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141029.0028 -> noscat141029.0028 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Nov 3 12:15: EXTRACT: WARNING - Aperture 1: Nov 3 12:15: Total variance weighted spectrum flux is 2946.589 Nov 3 12:15: Total unweighted spectrum flux is 701.0367 Nov 3 12:15: EXTRACT: Aperture 1 variance spectrum bias factor is 0.2379146 Nov 3 12:15: EXTRACT: WARNING - Aperture 111: Nov 3 12:15: Total variance weighted spectrum flux is 6489.676 Nov 3 12:15: Total unweighted spectrum flux is 3169.346 Nov 3 12:15: EXTRACT: Aperture 111 variance spectrum bias factor is 0.4883674 Nov 3 12:15: EXTRACT: WARNING - Aperture 112: Nov 3 12:15: Total variance weighted spectrum flux is 10373.84 Nov 3 12:15: Total unweighted spectrum flux is 5124.931 Nov 3 12:15: EXTRACT: Aperture 112 variance spectrum bias factor is 0.4940244 Nov 3 12:15: EXTRACT: WARNING - Aperture 113: Nov 3 12:15: Total variance weighted spectrum flux is 6807.207 Nov 3 12:15: Total unweighted spectrum flux is 2043.884 Nov 3 12:15: EXTRACT: Aperture 113 variance spectrum bias factor is 0.3002529 Nov 3 12:15: EXTRACT: WARNING - Aperture 114: Nov 3 12:15: Total variance weighted spectrum flux is 7913.498 Nov 3 12:15: Total unweighted spectrum flux is 1311.7 Nov 3 12:15: EXTRACT: Aperture 114 variance spectrum bias factor is 0.1657548 Nov 3 12:15: EXTRACT: WARNING - Aperture 115: Nov 3 12:15: Total variance weighted spectrum flux is 2731.028 Nov 3 12:15: Total unweighted spectrum flux is -199.6043 Nov 3 12:15: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 141029.0029 Magnify image 141029.0029 to image 141029.0029. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 141029.0029,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141029.0029 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141029.0029 -> noscat141029.0029 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Nov 3 12:16: EXTRACT: WARNING - Aperture 106: Nov 3 12:16: Total variance weighted spectrum flux is 8434.461 Nov 3 12:16: Total unweighted spectrum flux is 2103.424 Nov 3 12:16: EXTRACT: Aperture 106 variance spectrum bias factor is 0.2493845 Nov 3 12:16: EXTRACT: WARNING - Aperture 107: Nov 3 12:16: Total variance weighted spectrum flux is 7414.665 Nov 3 12:16: Total unweighted spectrum flux is 1454.424 Nov 3 12:16: EXTRACT: Aperture 107 variance spectrum bias factor is 0.1961551 Nov 3 12:16: EXTRACT: WARNING - Aperture 108: Nov 3 12:16: Total variance weighted spectrum flux is 4198.348 Nov 3 12:16: Total unweighted spectrum flux is 1682.576 Nov 3 12:16: EXTRACT: Aperture 108 variance spectrum bias factor is 0.400771 Nov 3 12:16: EXTRACT: WARNING - Aperture 109: Nov 3 12:16: Total variance weighted spectrum flux is 7420.993 Nov 3 12:16: Total unweighted spectrum flux is 3452.479 Nov 3 12:16: EXTRACT: Aperture 109 variance spectrum bias factor is 0.4652314 Nov 3 12:16: EXTRACT: WARNING - Aperture 110: Nov 3 12:16: Total variance weighted spectrum flux is 3463.602 Nov 3 12:16: Total unweighted spectrum flux is 1238.207 Nov 3 12:16: EXTRACT: Aperture 110 variance spectrum bias factor is 0.3574911 Nov 3 12:16: EXTRACT: WARNING - Aperture 111: Nov 3 12:16: Total variance weighted spectrum flux is 7632.381 Nov 3 12:16: Total unweighted spectrum flux is 2617.948 Nov 3 12:16: EXTRACT: Aperture 111 variance spectrum bias factor is 0.3430055 Nov 3 12:16: EXTRACT: WARNING - Aperture 112: Nov 3 12:16: Total variance weighted spectrum flux is 5842.467 Nov 3 12:16: Total unweighted spectrum flux is 1245.681 Nov 3 12:16: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2132116 Nov 3 12:16: EXTRACT: WARNING - Aperture 113: Nov 3 12:16: Total variance weighted spectrum flux is 8763.376 Nov 3 12:16: Total unweighted spectrum flux is 2877.98 Nov 3 12:16: EXTRACT: Aperture 113 variance spectrum bias factor is 0.3284099 Nov 3 12:16: EXTRACT: WARNING - Aperture 114: Nov 3 12:16: Total variance weighted spectrum flux is 6991.741 Nov 3 12:16: Total unweighted spectrum flux is 2154.661 Nov 3 12:16: EXTRACT: Aperture 114 variance spectrum bias factor is 0.3081723 Nov 3 12:16: EXTRACT: WARNING - Aperture 115: Nov 3 12:16: Total variance weighted spectrum flux is 4383.764 Nov 3 12:16: Total unweighted spectrum flux is 2091.098 Nov 3 12:16: EXTRACT: Aperture 115 variance spectrum bias factor is 0.4770098 Resampling the object by a factor of 4 in the y direction... 141029.0030 Magnify image 141029.0030 to image 141029.0030. 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 141029.0030,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141029.0030 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141029.0030 -> noscat141029.0030 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Nov 3 12:17: EXTRACT: WARNING - Aperture 107: Nov 3 12:17: Total variance weighted spectrum flux is 7724.506 Nov 3 12:17: Total unweighted spectrum flux is 1269.176 Nov 3 12:17: EXTRACT: Aperture 107 variance spectrum bias factor is 0.1643051 Nov 3 12:17: EXTRACT: WARNING - Aperture 112: Nov 3 12:17: Total variance weighted spectrum flux is 4546.901 Nov 3 12:17: Total unweighted spectrum flux is 1791.407 Nov 3 12:17: EXTRACT: Aperture 112 variance spectrum bias factor is 0.3939841 Nov 3 12:17: EXTRACT: WARNING - Aperture 114: Nov 3 12:17: Total variance weighted spectrum flux is 4901.974 Nov 3 12:17: Total unweighted spectrum flux is 2093.719 Nov 3 12:17: EXTRACT: Aperture 114 variance spectrum bias factor is 0.4271175 Nov 3 12:17: EXTRACT: WARNING - Aperture 115: Nov 3 12:17: Total variance weighted spectrum flux is 3222.22 Nov 3 12:17: Total unweighted spectrum flux is 1586.682 Nov 3 12:17: EXTRACT: Aperture 115 variance spectrum bias factor is 0.492419 Resampling the object by a factor of 4 in the y direction... 141029.0032 Magnify image 141029.0032 to image 141029.0032. 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 141029.0032,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141029.0032 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141029.0032 -> noscat141029.0032 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Nov 3 12:18: EXTRACT: WARNING - Aperture 1: Nov 3 12:18: Total variance weighted spectrum flux is -2133.601 Nov 3 12:18: Total unweighted spectrum flux is -24066.75 Nov 3 12:18: EXTRACT: Aperture 1 variance spectrum bias factor is 11.27987 Nov 3 12:18: EXTRACT: WARNING - Aperture 2: Nov 3 12:18: Total variance weighted spectrum flux is 2414.275 Nov 3 12:18: Total unweighted spectrum flux is -195.7368 Nov 3 12:18: Variance spectrum bias factor ignored Nov 3 12:18: EXTRACT: WARNING - Aperture 96: Nov 3 12:18: Total variance weighted spectrum flux is 15457.61 Nov 3 12:18: Total unweighted spectrum flux is 7031.506 Nov 3 12:18: EXTRACT: Aperture 96 variance spectrum bias factor is 0.4548895 Nov 3 12:18: EXTRACT: WARNING - Aperture 100: Nov 3 12:18: Total variance weighted spectrum flux is 4705.823 Nov 3 12:18: Total unweighted spectrum flux is 2345.718 Nov 3 12:18: EXTRACT: Aperture 100 variance spectrum bias factor is 0.4984713 Nov 3 12:18: EXTRACT: WARNING - Aperture 101: Nov 3 12:18: Total variance weighted spectrum flux is 10284.82 Nov 3 12:18: Total unweighted spectrum flux is 4224.077 Nov 3 12:18: EXTRACT: Aperture 101 variance spectrum bias factor is 0.41071 Nov 3 12:18: EXTRACT: WARNING - Aperture 102: Nov 3 12:18: Total variance weighted spectrum flux is 9634.738 Nov 3 12:18: Total unweighted spectrum flux is 3110.073 Nov 3 12:18: EXTRACT: Aperture 102 variance spectrum bias factor is 0.3227978 Nov 3 12:18: EXTRACT: WARNING - Aperture 103: Nov 3 12:18: Total variance weighted spectrum flux is 6436.378 Nov 3 12:18: Total unweighted spectrum flux is 2449.319 Nov 3 12:18: EXTRACT: Aperture 103 variance spectrum bias factor is 0.380543 Nov 3 12:18: EXTRACT: WARNING - Aperture 105: Nov 3 12:18: Total variance weighted spectrum flux is 8958.473 Nov 3 12:18: Total unweighted spectrum flux is 1708.611 Nov 3 12:18: EXTRACT: Aperture 105 variance spectrum bias factor is 0.1907257 Nov 3 12:18: EXTRACT: WARNING - Aperture 106: Nov 3 12:18: Total variance weighted spectrum flux is 7258.413 Nov 3 12:18: Total unweighted spectrum flux is 261.0637 Nov 3 12:18: EXTRACT: Aperture 106 variance spectrum bias factor is 0.03596706 Nov 3 12:18: EXTRACT: WARNING - Aperture 107: Nov 3 12:18: Total variance weighted spectrum flux is 6403.075 Nov 3 12:18: Total unweighted spectrum flux is 845.2007 Nov 3 12:18: EXTRACT: Aperture 107 variance spectrum bias factor is 0.1319992 Nov 3 12:18: EXTRACT: WARNING - Aperture 108: Nov 3 12:18: Total variance weighted spectrum flux is 5359.882 Nov 3 12:18: Total unweighted spectrum flux is 1157.67 Nov 3 12:18: EXTRACT: Aperture 108 variance spectrum bias factor is 0.215988 Nov 3 12:18: EXTRACT: WARNING - Aperture 109: Nov 3 12:18: Total variance weighted spectrum flux is 8600.937 Nov 3 12:18: Total unweighted spectrum flux is 1076.841 Nov 3 12:18: EXTRACT: Aperture 109 variance spectrum bias factor is 0.1252004 Nov 3 12:18: EXTRACT: WARNING - Aperture 110: Nov 3 12:18: Total variance weighted spectrum flux is 4932.41 Nov 3 12:18: Total unweighted spectrum flux is 875.9373 Nov 3 12:18: EXTRACT: Aperture 110 variance spectrum bias factor is 0.1775881 Nov 3 12:18: EXTRACT: WARNING - Aperture 111: Nov 3 12:18: Total variance weighted spectrum flux is 8983.769 Nov 3 12:18: Total unweighted spectrum flux is 1694.111 Nov 3 12:18: EXTRACT: Aperture 111 variance spectrum bias factor is 0.1885747 Nov 3 12:18: EXTRACT: WARNING - Aperture 112: Nov 3 12:18: Total variance weighted spectrum flux is 2440.254 Nov 3 12:18: Total unweighted spectrum flux is 486.1801 Nov 3 12:18: EXTRACT: Aperture 112 variance spectrum bias factor is 0.1992334 Nov 3 12:18: EXTRACT: WARNING - Aperture 113: Nov 3 12:18: Total variance weighted spectrum flux is 4527.175 Nov 3 12:18: Total unweighted spectrum flux is 1168.916 Nov 3 12:18: EXTRACT: Aperture 113 variance spectrum bias factor is 0.2582 Nov 3 12:18: EXTRACT: WARNING - Aperture 114: Nov 3 12:18: Total variance weighted spectrum flux is 2354.597 Nov 3 12:18: Total unweighted spectrum flux is 815.0704 Nov 3 12:18: EXTRACT: Aperture 114 variance spectrum bias factor is 0.3461614 Nov 3 12:18: EXTRACT: WARNING - Aperture 115: Nov 3 12:18: Total variance weighted spectrum flux is 1350.061 Nov 3 12:18: Total unweighted spectrum flux is 277.4419 Nov 3 12:18: EXTRACT: Aperture 115 variance spectrum bias factor is 0.2055032 Resampling the object by a factor of 4 in the y direction... 141029.0033 Magnify image 141029.0033 to image 141029.0033. 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 141029.0033,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141029.0033 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141029.0033 -> noscat141029.0033 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Nov 3 12:19: EXTRACT: WARNING - Aperture 2: Nov 3 12:19: Total variance weighted spectrum flux is 4549.48 Nov 3 12:19: Total unweighted spectrum flux is 1126.869 Nov 3 12:19: EXTRACT: Aperture 2 variance spectrum bias factor is 0.2476918 Nov 3 12:20: EXTRACT: WARNING - Aperture 109: Nov 3 12:20: Total variance weighted spectrum flux is 12649.63 Nov 3 12:20: Total unweighted spectrum flux is 5148.438 Nov 3 12:20: EXTRACT: Aperture 109 variance spectrum bias factor is 0.4070029 Nov 3 12:20: EXTRACT: WARNING - Aperture 111: Nov 3 12:20: Total variance weighted spectrum flux is 8520.247 Nov 3 12:20: Total unweighted spectrum flux is 3185.151 Nov 3 12:20: EXTRACT: Aperture 111 variance spectrum bias factor is 0.3738331 Nov 3 12:20: EXTRACT: WARNING - Aperture 113: Nov 3 12:20: Total variance weighted spectrum flux is 9538.736 Nov 3 12:20: Total unweighted spectrum flux is 2272.012 Nov 3 12:20: EXTRACT: Aperture 113 variance spectrum bias factor is 0.238188 Nov 3 12:20: EXTRACT: WARNING - Aperture 114: Nov 3 12:20: Total variance weighted spectrum flux is 1801.177 Nov 3 12:20: Total unweighted spectrum flux is 181.2539 Nov 3 12:20: EXTRACT: Aperture 114 variance spectrum bias factor is 0.1006309 Nov 3 12:20: EXTRACT: WARNING - Aperture 115: Nov 3 12:20: Total variance weighted spectrum flux is 2384.553 Nov 3 12:20: Total unweighted spectrum flux is 242.9835 Nov 3 12:20: EXTRACT: Aperture 115 variance spectrum bias factor is 0.101899 Resampling the object by a factor of 4 in the y direction... 141029.0034 Magnify image 141029.0034 to image 141029.0034. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 141029.0034,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141029.0034 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141029.0034 -> noscat141029.0034 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Nov 3 12:20: EXTRACT: WARNING - Aperture 1: Nov 3 12:20: Total variance weighted spectrum flux is 4030.401 Nov 3 12:20: Total unweighted spectrum flux is 743.1284 Nov 3 12:20: EXTRACT: Aperture 1 variance spectrum bias factor is 0.1843808 Nov 3 12:20: EXTRACT: WARNING - Aperture 2: Nov 3 12:20: Total variance weighted spectrum flux is 3140.502 Nov 3 12:20: Total unweighted spectrum flux is -770.4683 Nov 3 12:20: Variance spectrum bias factor ignored Nov 3 12:20: EXTRACT: WARNING - Aperture 91: Nov 3 12:20: Total variance weighted spectrum flux is 9991.382 Nov 3 12:20: Total unweighted spectrum flux is 3468.388 Nov 3 12:20: EXTRACT: Aperture 91 variance spectrum bias factor is 0.347138 Nov 3 12:21: EXTRACT: WARNING - Aperture 92: Nov 3 12:21: Total variance weighted spectrum flux is 8124.873 Nov 3 12:21: Total unweighted spectrum flux is 3520.521 Nov 3 12:21: EXTRACT: Aperture 92 variance spectrum bias factor is 0.4333017 Nov 3 12:21: EXTRACT: WARNING - Aperture 93: Nov 3 12:21: Total variance weighted spectrum flux is 8253.604 Nov 3 12:21: Total unweighted spectrum flux is 2840.202 Nov 3 12:21: EXTRACT: Aperture 93 variance spectrum bias factor is 0.3441166 Nov 3 12:21: EXTRACT: WARNING - Aperture 94: Nov 3 12:21: Total variance weighted spectrum flux is 3534.304 Nov 3 12:21: Total unweighted spectrum flux is 957.3459 Nov 3 12:21: EXTRACT: Aperture 94 variance spectrum bias factor is 0.2708725 Nov 3 12:21: EXTRACT: WARNING - Aperture 95: Nov 3 12:21: Total variance weighted spectrum flux is 9206.831 Nov 3 12:21: Total unweighted spectrum flux is 1420.509 Nov 3 12:21: EXTRACT: Aperture 95 variance spectrum bias factor is 0.1542886 Nov 3 12:21: EXTRACT: WARNING - Aperture 96: Nov 3 12:21: Total variance weighted spectrum flux is 5335.44 Nov 3 12:21: Total unweighted spectrum flux is 1365.524 Nov 3 12:21: EXTRACT: Aperture 96 variance spectrum bias factor is 0.2559347 Nov 3 12:21: EXTRACT: WARNING - Aperture 97: Nov 3 12:21: Total variance weighted spectrum flux is 8850.562 Nov 3 12:21: Total unweighted spectrum flux is 1580.918 Nov 3 12:21: EXTRACT: Aperture 97 variance spectrum bias factor is 0.1786235 Nov 3 12:21: EXTRACT: WARNING - Aperture 98: Nov 3 12:21: Total variance weighted spectrum flux is 13042. Nov 3 12:21: Total unweighted spectrum flux is 3221.045 Nov 3 12:21: EXTRACT: Aperture 98 variance spectrum bias factor is 0.2469748 Nov 3 12:21: EXTRACT: WARNING - Aperture 99: Nov 3 12:21: Total variance weighted spectrum flux is 8323.336 Nov 3 12:21: Total unweighted spectrum flux is 525.4549 Nov 3 12:21: EXTRACT: Aperture 99 variance spectrum bias factor is 0.06313033 Nov 3 12:21: EXTRACT: WARNING - Aperture 100: Nov 3 12:21: Total variance weighted spectrum flux is 10563.15 Nov 3 12:21: Total unweighted spectrum flux is 790.9714 Nov 3 12:21: EXTRACT: Aperture 100 variance spectrum bias factor is 0.07488029 Nov 3 12:21: EXTRACT: WARNING - Aperture 101: Nov 3 12:21: Total variance weighted spectrum flux is 5925.045 Nov 3 12:21: Total unweighted spectrum flux is 997.6014 Nov 3 12:21: EXTRACT: Aperture 101 variance spectrum bias factor is 0.1683703 Nov 3 12:21: EXTRACT: WARNING - Aperture 102: Nov 3 12:21: Total variance weighted spectrum flux is 7564.868 Nov 3 12:21: Total unweighted spectrum flux is 1326.636 Nov 3 12:21: EXTRACT: Aperture 102 variance spectrum bias factor is 0.175368 Nov 3 12:21: EXTRACT: WARNING - Aperture 103: Nov 3 12:21: Total variance weighted spectrum flux is 3431.928 Nov 3 12:21: Total unweighted spectrum flux is 502.116 Nov 3 12:21: EXTRACT: Aperture 103 variance spectrum bias factor is 0.1463073 Nov 3 12:21: EXTRACT: WARNING - Aperture 104: Nov 3 12:21: Total variance weighted spectrum flux is 7083.238 Nov 3 12:21: Total unweighted spectrum flux is 506.0124 Nov 3 12:21: EXTRACT: Aperture 104 variance spectrum bias factor is 0.071438 Nov 3 12:21: EXTRACT: WARNING - Aperture 105: Nov 3 12:21: Total variance weighted spectrum flux is 5232.989 Nov 3 12:21: Total unweighted spectrum flux is 339.3096 Nov 3 12:21: EXTRACT: Aperture 105 variance spectrum bias factor is 0.0648405 Nov 3 12:21: EXTRACT: WARNING - Aperture 106: Nov 3 12:21: Total variance weighted spectrum flux is 5819.788 Nov 3 12:21: Total unweighted spectrum flux is 1107.305 Nov 3 12:21: EXTRACT: Aperture 106 variance spectrum bias factor is 0.1902655 Nov 3 12:21: EXTRACT: WARNING - Aperture 107: Nov 3 12:21: Total variance weighted spectrum flux is 4390.112 Nov 3 12:21: Total unweighted spectrum flux is -741.4994 Nov 3 12:21: Variance spectrum bias factor ignored Nov 3 12:21: EXTRACT: WARNING - Aperture 108: Nov 3 12:21: Total variance weighted spectrum flux is 5982.992 Nov 3 12:21: Total unweighted spectrum flux is 1644.605 Nov 3 12:21: EXTRACT: Aperture 108 variance spectrum bias factor is 0.2748801 Nov 3 12:21: EXTRACT: WARNING - Aperture 109: Nov 3 12:21: Total variance weighted spectrum flux is 5503.022 Nov 3 12:21: Total unweighted spectrum flux is 396.6741 Nov 3 12:21: EXTRACT: Aperture 109 variance spectrum bias factor is 0.07208295 Nov 3 12:21: EXTRACT: WARNING - Aperture 110: Nov 3 12:21: Total variance weighted spectrum flux is 4747.465 Nov 3 12:21: Total unweighted spectrum flux is -1028.466 Nov 3 12:21: Variance spectrum bias factor ignored Nov 3 12:21: EXTRACT: WARNING - Aperture 111: Nov 3 12:21: Total variance weighted spectrum flux is 3037.441 Nov 3 12:21: Total unweighted spectrum flux is 224.0562 Nov 3 12:21: EXTRACT: Aperture 111 variance spectrum bias factor is 0.07376477 Nov 3 12:21: EXTRACT: WARNING - Aperture 112: Nov 3 12:21: Total variance weighted spectrum flux is 6980.327 Nov 3 12:21: Total unweighted spectrum flux is 465.9325 Nov 3 12:21: EXTRACT: Aperture 112 variance spectrum bias factor is 0.06674938 Nov 3 12:21: EXTRACT: WARNING - Aperture 113: Nov 3 12:21: Total variance weighted spectrum flux is 1777.339 Nov 3 12:21: Total unweighted spectrum flux is -745.5526 Nov 3 12:21: Variance spectrum bias factor ignored Nov 3 12:21: EXTRACT: WARNING - Aperture 114: Nov 3 12:21: Total variance weighted spectrum flux is 7459.623 Nov 3 12:21: Total unweighted spectrum flux is 1656.009 Nov 3 12:21: EXTRACT: Aperture 114 variance spectrum bias factor is 0.2219963 Nov 3 12:21: EXTRACT: WARNING - Aperture 115: Nov 3 12:21: Total variance weighted spectrum flux is 3775.289 Nov 3 12:21: Total unweighted spectrum flux is 672.9562 Nov 3 12:21: EXTRACT: Aperture 115 variance spectrum bias factor is 0.1782529 Resampling the object by a factor of 4 in the y direction... 141029.0036 Magnify image 141029.0036 to image 141029.0036. 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 141029.0036,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141029.0036 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141029.0036 -> noscat141029.0036 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Nov 3 12:21: EXTRACT: WARNING - Aperture 1: Nov 3 12:21: Total variance weighted spectrum flux is 7092.086 Nov 3 12:21: Total unweighted spectrum flux is 2245.913 Nov 3 12:21: EXTRACT: Aperture 1 variance spectrum bias factor is 0.3166788 Nov 3 12:21: EXTRACT: WARNING - Aperture 2: Nov 3 12:21: Total variance weighted spectrum flux is -1228.261 Nov 3 12:21: Total unweighted spectrum flux is -19107.7 Nov 3 12:21: EXTRACT: Aperture 2 variance spectrum bias factor is 15.55671 Nov 3 12:22: EXTRACT: WARNING - Aperture 91: Nov 3 12:22: Total variance weighted spectrum flux is 4095.804 Nov 3 12:22: Total unweighted spectrum flux is 1717.653 Nov 3 12:22: EXTRACT: Aperture 91 variance spectrum bias factor is 0.419369 Nov 3 12:22: EXTRACT: WARNING - Aperture 92: Nov 3 12:22: Total variance weighted spectrum flux is 6070.396 Nov 3 12:22: Total unweighted spectrum flux is 2090.496 Nov 3 12:22: EXTRACT: Aperture 92 variance spectrum bias factor is 0.3443755 Nov 3 12:22: EXTRACT: WARNING - Aperture 93: Nov 3 12:22: Total variance weighted spectrum flux is 9410.621 Nov 3 12:22: Total unweighted spectrum flux is 2004.039 Nov 3 12:22: EXTRACT: Aperture 93 variance spectrum bias factor is 0.212955 Nov 3 12:22: EXTRACT: WARNING - Aperture 94: Nov 3 12:22: Total variance weighted spectrum flux is 7977.883 Nov 3 12:22: Total unweighted spectrum flux is 2218.374 Nov 3 12:22: EXTRACT: Aperture 94 variance spectrum bias factor is 0.2780655 Nov 3 12:22: EXTRACT: WARNING - Aperture 95: Nov 3 12:22: Total variance weighted spectrum flux is 8285.741 Nov 3 12:22: Total unweighted spectrum flux is 3062.873 Nov 3 12:22: EXTRACT: Aperture 95 variance spectrum bias factor is 0.3696558 Nov 3 12:22: EXTRACT: WARNING - Aperture 96: Nov 3 12:22: Total variance weighted spectrum flux is 10195.15 Nov 3 12:22: Total unweighted spectrum flux is 2560.193 Nov 3 12:22: EXTRACT: Aperture 96 variance spectrum bias factor is 0.2511188 Nov 3 12:22: EXTRACT: WARNING - Aperture 97: Nov 3 12:22: Total variance weighted spectrum flux is 3934.104 Nov 3 12:22: Total unweighted spectrum flux is 1282.532 Nov 3 12:22: EXTRACT: Aperture 97 variance spectrum bias factor is 0.3260036 Nov 3 12:22: EXTRACT: WARNING - Aperture 98: Nov 3 12:22: Total variance weighted spectrum flux is 3354.241 Nov 3 12:22: Total unweighted spectrum flux is -240.0735 Nov 3 12:22: Variance spectrum bias factor ignored Nov 3 12:22: EXTRACT: WARNING - Aperture 99: Nov 3 12:22: Total variance weighted spectrum flux is 5812.512 Nov 3 12:22: Total unweighted spectrum flux is 1735.997 Nov 3 12:22: EXTRACT: Aperture 99 variance spectrum bias factor is 0.2986656 Nov 3 12:22: EXTRACT: WARNING - Aperture 100: Nov 3 12:22: Total variance weighted spectrum flux is 8800.469 Nov 3 12:22: Total unweighted spectrum flux is 557.4202 Nov 3 12:22: EXTRACT: Aperture 100 variance spectrum bias factor is 0.06333983 Nov 3 12:22: EXTRACT: WARNING - Aperture 101: Nov 3 12:22: Total variance weighted spectrum flux is 10524.92 Nov 3 12:22: Total unweighted spectrum flux is -300.8671 Nov 3 12:22: Variance spectrum bias factor ignored Nov 3 12:22: EXTRACT: WARNING - Aperture 102: Nov 3 12:22: Total variance weighted spectrum flux is 7580.306 Nov 3 12:22: Total unweighted spectrum flux is 318.7978 Nov 3 12:22: EXTRACT: Aperture 102 variance spectrum bias factor is 0.04205607 Nov 3 12:22: EXTRACT: WARNING - Aperture 103: Nov 3 12:22: Total variance weighted spectrum flux is 2937.657 Nov 3 12:22: Total unweighted spectrum flux is -332.6944 Nov 3 12:22: Variance spectrum bias factor ignored Nov 3 12:22: EXTRACT: WARNING - Aperture 104: Nov 3 12:22: Total variance weighted spectrum flux is 6696.646 Nov 3 12:22: Total unweighted spectrum flux is 746.1774 Nov 3 12:22: EXTRACT: Aperture 104 variance spectrum bias factor is 0.1114255 Nov 3 12:22: EXTRACT: WARNING - Aperture 105: Nov 3 12:22: Total variance weighted spectrum flux is 7452.164 Nov 3 12:22: Total unweighted spectrum flux is -750.124 Nov 3 12:22: Variance spectrum bias factor ignored Nov 3 12:22: EXTRACT: WARNING - Aperture 106: Nov 3 12:22: Total variance weighted spectrum flux is 3501.463 Nov 3 12:22: Total unweighted spectrum flux is -319.0147 Nov 3 12:22: Variance spectrum bias factor ignored Nov 3 12:22: EXTRACT: WARNING - Aperture 107: Nov 3 12:22: Total variance weighted spectrum flux is 3772.956 Nov 3 12:22: Total unweighted spectrum flux is 961.4369 Nov 3 12:22: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2548233 Nov 3 12:22: EXTRACT: WARNING - Aperture 108: Nov 3 12:22: Total variance weighted spectrum flux is 7759.396 Nov 3 12:22: Total unweighted spectrum flux is 41.66996 Nov 3 12:22: EXTRACT: Aperture 108 variance spectrum bias factor is 0.005370258 Nov 3 12:22: EXTRACT: WARNING - Aperture 109: Nov 3 12:22: Total variance weighted spectrum flux is 3411.448 Nov 3 12:22: Total unweighted spectrum flux is 457.5128 Nov 3 12:22: EXTRACT: Aperture 109 variance spectrum bias factor is 0.134111 Nov 3 12:22: EXTRACT: WARNING - Aperture 110: Nov 3 12:22: Total variance weighted spectrum flux is 4794.775 Nov 3 12:22: Total unweighted spectrum flux is 887.3887 Nov 3 12:22: EXTRACT: Aperture 110 variance spectrum bias factor is 0.1850741 Nov 3 12:22: EXTRACT: WARNING - Aperture 111: Nov 3 12:22: Total variance weighted spectrum flux is 4755.661 Nov 3 12:22: Total unweighted spectrum flux is 47.74461 Nov 3 12:22: EXTRACT: Aperture 111 variance spectrum bias factor is 0.01003953 Nov 3 12:22: EXTRACT: WARNING - Aperture 112: Nov 3 12:22: Total variance weighted spectrum flux is 7527.033 Nov 3 12:22: Total unweighted spectrum flux is 892.8438 Nov 3 12:22: EXTRACT: Aperture 112 variance spectrum bias factor is 0.1186183 Nov 3 12:22: EXTRACT: WARNING - Aperture 113: Nov 3 12:22: Total variance weighted spectrum flux is 3535.703 Nov 3 12:22: Total unweighted spectrum flux is -568.3451 Nov 3 12:22: Variance spectrum bias factor ignored Nov 3 12:22: EXTRACT: WARNING - Aperture 114: Nov 3 12:22: Total variance weighted spectrum flux is 7926.746 Nov 3 12:22: Total unweighted spectrum flux is 1723.938 Nov 3 12:22: EXTRACT: Aperture 114 variance spectrum bias factor is 0.2174836 Nov 3 12:22: EXTRACT: WARNING - Aperture 115: Nov 3 12:22: Total variance weighted spectrum flux is 3435.326 Nov 3 12:22: Total unweighted spectrum flux is -1216.108 Nov 3 12:22: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 141029.0037 Magnify image 141029.0037 to image 141029.0037. 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 141029.0037,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141029.0037 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141029.0037 -> noscat141029.0037 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Nov 3 12:22: EXTRACT: WARNING - Aperture 1: Nov 3 12:22: Total variance weighted spectrum flux is 3289.175 Nov 3 12:22: Total unweighted spectrum flux is -88.88406 Nov 3 12:22: Variance spectrum bias factor ignored Nov 3 12:22: EXTRACT: WARNING - Aperture 2: Nov 3 12:22: Total variance weighted spectrum flux is 3183.022 Nov 3 12:22: Total unweighted spectrum flux is 1411.531 Nov 3 12:22: EXTRACT: Aperture 2 variance spectrum bias factor is 0.4434561 Nov 3 12:23: EXTRACT: WARNING - Aperture 86: Nov 3 12:23: Total variance weighted spectrum flux is 7771.732 Nov 3 12:23: Total unweighted spectrum flux is 2309.071 Nov 3 12:23: EXTRACT: Aperture 86 variance spectrum bias factor is 0.2971115 Nov 3 12:23: EXTRACT: WARNING - Aperture 88: Nov 3 12:23: Total variance weighted spectrum flux is 6201.553 Nov 3 12:23: Total unweighted spectrum flux is 2770.604 Nov 3 12:23: EXTRACT: Aperture 88 variance spectrum bias factor is 0.4467597 Nov 3 12:23: EXTRACT: WARNING - Aperture 89: Nov 3 12:23: Total variance weighted spectrum flux is 11988.97 Nov 3 12:23: Total unweighted spectrum flux is 4457.598 Nov 3 12:23: EXTRACT: Aperture 89 variance spectrum bias factor is 0.3718083 Nov 3 12:23: EXTRACT: WARNING - Aperture 90: Nov 3 12:23: Total variance weighted spectrum flux is 5592.296 Nov 3 12:23: Total unweighted spectrum flux is 2212.067 Nov 3 12:23: EXTRACT: Aperture 90 variance spectrum bias factor is 0.3955561 Nov 3 12:23: EXTRACT: WARNING - Aperture 91: Nov 3 12:23: Total variance weighted spectrum flux is 8179.667 Nov 3 12:23: Total unweighted spectrum flux is 1487.781 Nov 3 12:23: EXTRACT: Aperture 91 variance spectrum bias factor is 0.1818878 Nov 3 12:23: EXTRACT: WARNING - Aperture 92: Nov 3 12:23: Total variance weighted spectrum flux is 6857.75 Nov 3 12:23: Total unweighted spectrum flux is 1058.047 Nov 3 12:23: EXTRACT: Aperture 92 variance spectrum bias factor is 0.1542848 Nov 3 12:23: EXTRACT: WARNING - Aperture 93: Nov 3 12:23: Total variance weighted spectrum flux is 6899.877 Nov 3 12:23: Total unweighted spectrum flux is 900.6485 Nov 3 12:23: EXTRACT: Aperture 93 variance spectrum bias factor is 0.1305311 Nov 3 12:23: EXTRACT: WARNING - Aperture 94: Nov 3 12:23: Total variance weighted spectrum flux is 6615.717 Nov 3 12:23: Total unweighted spectrum flux is 262.827 Nov 3 12:23: EXTRACT: Aperture 94 variance spectrum bias factor is 0.03972767 Nov 3 12:23: EXTRACT: WARNING - Aperture 95: Nov 3 12:23: Total variance weighted spectrum flux is 5083.787 Nov 3 12:23: Total unweighted spectrum flux is 137.6506 Nov 3 12:23: EXTRACT: Aperture 95 variance spectrum bias factor is 0.02707638 Nov 3 12:23: EXTRACT: WARNING - Aperture 96: Nov 3 12:23: Total variance weighted spectrum flux is 7831.95 Nov 3 12:23: Total unweighted spectrum flux is -541.2997 Nov 3 12:23: Variance spectrum bias factor ignored Nov 3 12:23: EXTRACT: WARNING - Aperture 97: Nov 3 12:23: Total variance weighted spectrum flux is 4238.151 Nov 3 12:23: Total unweighted spectrum flux is -865.3423 Nov 3 12:23: Variance spectrum bias factor ignored Nov 3 12:23: EXTRACT: WARNING - Aperture 98: Nov 3 12:23: Total variance weighted spectrum flux is 3160.827 Nov 3 12:23: Total unweighted spectrum flux is -165.9685 Nov 3 12:23: Variance spectrum bias factor ignored Nov 3 12:23: EXTRACT: WARNING - Aperture 99: Nov 3 12:23: Total variance weighted spectrum flux is 3413.168 Nov 3 12:23: Total unweighted spectrum flux is 395.7107 Nov 3 12:23: EXTRACT: Aperture 99 variance spectrum bias factor is 0.1159365 Nov 3 12:23: EXTRACT: WARNING - Aperture 100: Nov 3 12:23: Total variance weighted spectrum flux is 4372.347 Nov 3 12:23: Total unweighted spectrum flux is 401.4306 Nov 3 12:23: EXTRACT: Aperture 100 variance spectrum bias factor is 0.09181124 Nov 3 12:23: EXTRACT: WARNING - Aperture 101: Nov 3 12:23: Total variance weighted spectrum flux is 3447.299 Nov 3 12:23: Total unweighted spectrum flux is 789.9056 Nov 3 12:23: EXTRACT: Aperture 101 variance spectrum bias factor is 0.2291375 Nov 3 12:23: EXTRACT: WARNING - Aperture 102: Nov 3 12:23: Total variance weighted spectrum flux is 450.0983 Nov 3 12:23: Total unweighted spectrum flux is -14.42232 Nov 3 12:23: Variance spectrum bias factor ignored Nov 3 12:23: EXTRACT: WARNING - Aperture 103: Nov 3 12:23: Total variance weighted spectrum flux is 7684.239 Nov 3 12:23: Total unweighted spectrum flux is -173.539 Nov 3 12:23: Variance spectrum bias factor ignored Nov 3 12:23: EXTRACT: WARNING - Aperture 104: Nov 3 12:23: Total variance weighted spectrum flux is 4914.74 Nov 3 12:23: Total unweighted spectrum flux is 1473.915 Nov 3 12:23: EXTRACT: Aperture 104 variance spectrum bias factor is 0.2998969 Nov 3 12:23: EXTRACT: WARNING - Aperture 105: Nov 3 12:23: Total variance weighted spectrum flux is 5524.298 Nov 3 12:23: Total unweighted spectrum flux is 872.3214 Nov 3 12:23: EXTRACT: Aperture 105 variance spectrum bias factor is 0.1579063 Nov 3 12:23: EXTRACT: WARNING - Aperture 106: Nov 3 12:23: Total variance weighted spectrum flux is 6941.665 Nov 3 12:23: Total unweighted spectrum flux is -0.07201385 Nov 3 12:23: Variance spectrum bias factor ignored Nov 3 12:23: EXTRACT: WARNING - Aperture 107: Nov 3 12:23: Total variance weighted spectrum flux is 5807.439 Nov 3 12:23: Total unweighted spectrum flux is 433.5822 Nov 3 12:23: EXTRACT: Aperture 107 variance spectrum bias factor is 0.07465979 Nov 3 12:23: EXTRACT: WARNING - Aperture 108: Nov 3 12:23: Total variance weighted spectrum flux is 4831.913 Nov 3 12:23: Total unweighted spectrum flux is -103.1039 Nov 3 12:23: Variance spectrum bias factor ignored Nov 3 12:23: EXTRACT: WARNING - Aperture 109: Nov 3 12:23: Total variance weighted spectrum flux is 9721.396 Nov 3 12:23: Total unweighted spectrum flux is 471.5974 Nov 3 12:23: EXTRACT: Aperture 109 variance spectrum bias factor is 0.04851129 Nov 3 12:23: EXTRACT: WARNING - Aperture 110: Nov 3 12:23: Total variance weighted spectrum flux is 6059.318 Nov 3 12:23: Total unweighted spectrum flux is 1160.132 Nov 3 12:23: EXTRACT: Aperture 110 variance spectrum bias factor is 0.1914624 Nov 3 12:23: EXTRACT: WARNING - Aperture 111: Nov 3 12:23: Total variance weighted spectrum flux is 6480.972 Nov 3 12:23: Total unweighted spectrum flux is 974.0615 Nov 3 12:23: EXTRACT: Aperture 111 variance spectrum bias factor is 0.1502956 Nov 3 12:23: EXTRACT: WARNING - Aperture 112: Nov 3 12:23: Total variance weighted spectrum flux is 2729.624 Nov 3 12:23: Total unweighted spectrum flux is -529.002 Nov 3 12:23: Variance spectrum bias factor ignored Nov 3 12:23: EXTRACT: WARNING - Aperture 113: Nov 3 12:23: Total variance weighted spectrum flux is 4172.483 Nov 3 12:23: Total unweighted spectrum flux is 393.9271 Nov 3 12:23: EXTRACT: Aperture 113 variance spectrum bias factor is 0.0944107 Nov 3 12:23: EXTRACT: WARNING - Aperture 114: Nov 3 12:23: Total variance weighted spectrum flux is 1716.123 Nov 3 12:23: Total unweighted spectrum flux is -472.4196 Nov 3 12:23: Variance spectrum bias factor ignored Nov 3 12:23: EXTRACT: WARNING - Aperture 115: Nov 3 12:23: Total variance weighted spectrum flux is 3973.674 Nov 3 12:23: Total unweighted spectrum flux is -149.9879 Nov 3 12:23: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 141029.0038 Magnify image 141029.0038 to image 141029.0038. 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 141029.0038,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141029.0038 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141029.0038 -> noscat141029.0038 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Nov 3 12:24: EXTRACT: WARNING - Aperture 1: Nov 3 12:24: Total variance weighted spectrum flux is 6582.888 Nov 3 12:24: Total unweighted spectrum flux is 840.0797 Nov 3 12:24: EXTRACT: Aperture 1 variance spectrum bias factor is 0.1276157 Nov 3 12:24: EXTRACT: WARNING - Aperture 2: Nov 3 12:24: Total variance weighted spectrum flux is 3302.867 Nov 3 12:24: Total unweighted spectrum flux is -395.1685 Nov 3 12:24: Variance spectrum bias factor ignored Nov 3 12:24: EXTRACT: WARNING - Aperture 3: Nov 3 12:24: Total variance weighted spectrum flux is 3700.221 Nov 3 12:24: Total unweighted spectrum flux is -2890.817 Nov 3 12:24: Variance spectrum bias factor ignored Nov 3 12:24: EXTRACT: WARNING - Aperture 4: Nov 3 12:24: Total variance weighted spectrum flux is 10761.95 Nov 3 12:24: Total unweighted spectrum flux is 4253.315 Nov 3 12:24: EXTRACT: Aperture 4 variance spectrum bias factor is 0.3952178 Nov 3 12:24: EXTRACT: WARNING - Aperture 81: Nov 3 12:24: Total variance weighted spectrum flux is 5689.951 Nov 3 12:24: Total unweighted spectrum flux is 2297.903 Nov 3 12:24: EXTRACT: Aperture 81 variance spectrum bias factor is 0.4038529 Nov 3 12:24: EXTRACT: WARNING - Aperture 85: Nov 3 12:24: Total variance weighted spectrum flux is 11753.58 Nov 3 12:24: Total unweighted spectrum flux is 4975.622 Nov 3 12:24: EXTRACT: Aperture 85 variance spectrum bias factor is 0.4233282 Nov 3 12:24: EXTRACT: WARNING - Aperture 86: Nov 3 12:24: Total variance weighted spectrum flux is 2915.953 Nov 3 12:24: Total unweighted spectrum flux is -123.4154 Nov 3 12:24: Variance spectrum bias factor ignored Nov 3 12:24: EXTRACT: WARNING - Aperture 87: Nov 3 12:24: Total variance weighted spectrum flux is 3544.924 Nov 3 12:24: Total unweighted spectrum flux is 945.0352 Nov 3 12:24: EXTRACT: Aperture 87 variance spectrum bias factor is 0.2665883 Nov 3 12:24: EXTRACT: WARNING - Aperture 88: Nov 3 12:24: Total variance weighted spectrum flux is 4274.549 Nov 3 12:24: Total unweighted spectrum flux is 2097.67 Nov 3 12:24: EXTRACT: Aperture 88 variance spectrum bias factor is 0.4907348 Nov 3 12:24: EXTRACT: WARNING - Aperture 89: Nov 3 12:24: Total variance weighted spectrum flux is 14751.46 Nov 3 12:24: Total unweighted spectrum flux is 5374.338 Nov 3 12:24: EXTRACT: Aperture 89 variance spectrum bias factor is 0.3643259 Nov 3 12:24: EXTRACT: WARNING - Aperture 90: Nov 3 12:24: Total variance weighted spectrum flux is 5579.817 Nov 3 12:24: Total unweighted spectrum flux is 1635.266 Nov 3 12:24: EXTRACT: Aperture 90 variance spectrum bias factor is 0.2930681 Nov 3 12:24: EXTRACT: WARNING - Aperture 91: Nov 3 12:24: Total variance weighted spectrum flux is 5566.035 Nov 3 12:24: Total unweighted spectrum flux is 1381.572 Nov 3 12:24: EXTRACT: Aperture 91 variance spectrum bias factor is 0.2482147 Nov 3 12:24: EXTRACT: WARNING - Aperture 92: Nov 3 12:24: Total variance weighted spectrum flux is 7813.038 Nov 3 12:24: Total unweighted spectrum flux is 2041.209 Nov 3 12:24: EXTRACT: Aperture 92 variance spectrum bias factor is 0.2612568 Nov 3 12:24: EXTRACT: WARNING - Aperture 93: Nov 3 12:24: Total variance weighted spectrum flux is 5257.211 Nov 3 12:24: Total unweighted spectrum flux is 646.0836 Nov 3 12:24: EXTRACT: Aperture 93 variance spectrum bias factor is 0.1228947 Nov 3 12:24: EXTRACT: WARNING - Aperture 94: Nov 3 12:24: Total variance weighted spectrum flux is 6931.74 Nov 3 12:24: Total unweighted spectrum flux is 704.036 Nov 3 12:24: EXTRACT: Aperture 94 variance spectrum bias factor is 0.101567 Nov 3 12:24: EXTRACT: WARNING - Aperture 95: Nov 3 12:24: Total variance weighted spectrum flux is 3256.412 Nov 3 12:24: Total unweighted spectrum flux is 235.846 Nov 3 12:24: EXTRACT: Aperture 95 variance spectrum bias factor is 0.07242513 Nov 3 12:24: EXTRACT: WARNING - Aperture 96: Nov 3 12:24: Total variance weighted spectrum flux is 5208.014 Nov 3 12:24: Total unweighted spectrum flux is 924.9603 Nov 3 12:24: EXTRACT: Aperture 96 variance spectrum bias factor is 0.1776033 Nov 3 12:24: EXTRACT: WARNING - Aperture 97: Nov 3 12:24: Total variance weighted spectrum flux is 7736.427 Nov 3 12:24: Total unweighted spectrum flux is 2290.977 Nov 3 12:24: EXTRACT: Aperture 97 variance spectrum bias factor is 0.2961285 Nov 3 12:24: EXTRACT: WARNING - Aperture 98: Nov 3 12:24: Total variance weighted spectrum flux is 4639.742 Nov 3 12:24: Total unweighted spectrum flux is -805.8344 Nov 3 12:24: Variance spectrum bias factor ignored Nov 3 12:24: EXTRACT: WARNING - Aperture 99: Nov 3 12:24: Total variance weighted spectrum flux is 7447.179 Nov 3 12:24: Total unweighted spectrum flux is 1315.083 Nov 3 12:24: EXTRACT: Aperture 99 variance spectrum bias factor is 0.1765881 Nov 3 12:24: EXTRACT: WARNING - Aperture 100: Nov 3 12:24: Total variance weighted spectrum flux is 3443.86 Nov 3 12:24: Total unweighted spectrum flux is 426.7668 Nov 3 12:24: EXTRACT: Aperture 100 variance spectrum bias factor is 0.1239211 Nov 3 12:24: EXTRACT: WARNING - Aperture 101: Nov 3 12:24: Total variance weighted spectrum flux is 5041.406 Nov 3 12:24: Total unweighted spectrum flux is 13.1768 Nov 3 12:24: EXTRACT: Aperture 101 variance spectrum bias factor is 0.002613715 Nov 3 12:24: EXTRACT: WARNING - Aperture 102: Nov 3 12:24: Total variance weighted spectrum flux is 7148.856 Nov 3 12:24: Total unweighted spectrum flux is 128.2999 Nov 3 12:24: EXTRACT: Aperture 102 variance spectrum bias factor is 0.01794691 Nov 3 12:24: EXTRACT: WARNING - Aperture 103: Nov 3 12:24: Total variance weighted spectrum flux is 4863.575 Nov 3 12:24: Total unweighted spectrum flux is -412.1406 Nov 3 12:24: Variance spectrum bias factor ignored Nov 3 12:24: EXTRACT: WARNING - Aperture 104: Nov 3 12:24: Total variance weighted spectrum flux is 4802.313 Nov 3 12:24: Total unweighted spectrum flux is 633.7939 Nov 3 12:24: EXTRACT: Aperture 104 variance spectrum bias factor is 0.1319768 Nov 3 12:24: EXTRACT: WARNING - Aperture 105: Nov 3 12:24: Total variance weighted spectrum flux is 5990.625 Nov 3 12:24: Total unweighted spectrum flux is 1481.218 Nov 3 12:24: EXTRACT: Aperture 105 variance spectrum bias factor is 0.2472559 Nov 3 12:24: EXTRACT: WARNING - Aperture 106: Nov 3 12:24: Total variance weighted spectrum flux is 5738.944 Nov 3 12:24: Total unweighted spectrum flux is 541.0007 Nov 3 12:24: EXTRACT: Aperture 106 variance spectrum bias factor is 0.09426834 Nov 3 12:24: EXTRACT: WARNING - Aperture 107: Nov 3 12:24: Total variance weighted spectrum flux is 8323.175 Nov 3 12:24: Total unweighted spectrum flux is 4.790603 Nov 3 12:24: EXTRACT: Aperture 107 variance spectrum bias factor is 5.755739E-4 Nov 3 12:24: EXTRACT: WARNING - Aperture 108: Nov 3 12:24: Total variance weighted spectrum flux is 6476.396 Nov 3 12:24: Total unweighted spectrum flux is 469.7507 Nov 3 12:24: EXTRACT: Aperture 108 variance spectrum bias factor is 0.07253274 Nov 3 12:24: EXTRACT: WARNING - Aperture 109: Nov 3 12:24: Total variance weighted spectrum flux is 5051.75 Nov 3 12:24: Total unweighted spectrum flux is 12.35084 Nov 3 12:24: EXTRACT: Aperture 109 variance spectrum bias factor is 0.002444863 Nov 3 12:24: EXTRACT: WARNING - Aperture 110: Nov 3 12:24: Total variance weighted spectrum flux is 5427.238 Nov 3 12:24: Total unweighted spectrum flux is 790.3639 Nov 3 12:24: EXTRACT: Aperture 110 variance spectrum bias factor is 0.1456291 Nov 3 12:24: EXTRACT: WARNING - Aperture 111: Nov 3 12:24: Total variance weighted spectrum flux is 11764.25 Nov 3 12:24: Total unweighted spectrum flux is 137.9508 Nov 3 12:24: EXTRACT: Aperture 111 variance spectrum bias factor is 0.01172628 Nov 3 12:24: EXTRACT: WARNING - Aperture 112: Nov 3 12:24: Total variance weighted spectrum flux is 4602.281 Nov 3 12:24: Total unweighted spectrum flux is 1551.884 Nov 3 12:24: EXTRACT: Aperture 112 variance spectrum bias factor is 0.337199 Nov 3 12:24: EXTRACT: WARNING - Aperture 113: Nov 3 12:24: Total variance weighted spectrum flux is 3479.18 Nov 3 12:24: Total unweighted spectrum flux is -679.7367 Nov 3 12:24: Variance spectrum bias factor ignored Nov 3 12:24: EXTRACT: WARNING - Aperture 114: Nov 3 12:24: Total variance weighted spectrum flux is 1968.228 Nov 3 12:24: Total unweighted spectrum flux is -6.305256 Nov 3 12:24: Variance spectrum bias factor ignored Nov 3 12:24: EXTRACT: WARNING - Aperture 115: Nov 3 12:24: Total variance weighted spectrum flux is 2482.402 Nov 3 12:24: Total unweighted spectrum flux is 636.6567 Nov 3 12:24: EXTRACT: Aperture 115 variance spectrum bias factor is 0.2564681 Resampling the object by a factor of 4 in the y direction... 141029.0039 Magnify image 141029.0039 to image 141029.0039. 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 141029.0039,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141029.0039 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141029.0039 -> noscat141029.0039 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Nov 3 12:25: EXTRACT: WARNING - Aperture 1: Nov 3 12:25: Total variance weighted spectrum flux is 2944.95 Nov 3 12:25: Total unweighted spectrum flux is 861.0827 Nov 3 12:25: EXTRACT: Aperture 1 variance spectrum bias factor is 0.2923929 Nov 3 12:25: EXTRACT: WARNING - Aperture 2: Nov 3 12:25: Total variance weighted spectrum flux is -1342.927 Nov 3 12:25: Total unweighted spectrum flux is -29716.46 Nov 3 12:25: EXTRACT: Aperture 2 variance spectrum bias factor is 22.12814 Nov 3 12:25: EXTRACT: WARNING - Aperture 3: Nov 3 12:25: Total variance weighted spectrum flux is 3808.565 Nov 3 12:25: Total unweighted spectrum flux is 1553.347 Nov 3 12:25: EXTRACT: Aperture 3 variance spectrum bias factor is 0.4078563 Nov 3 12:25: EXTRACT: WARNING - Aperture 83: Nov 3 12:25: Total variance weighted spectrum flux is 13095.42 Nov 3 12:25: Total unweighted spectrum flux is 5517.19 Nov 3 12:25: EXTRACT: Aperture 83 variance spectrum bias factor is 0.4213068 Nov 3 12:25: EXTRACT: WARNING - Aperture 84: Nov 3 12:25: Total variance weighted spectrum flux is 10771.88 Nov 3 12:25: Total unweighted spectrum flux is 3424.717 Nov 3 12:25: EXTRACT: Aperture 84 variance spectrum bias factor is 0.3179313 Nov 3 12:25: EXTRACT: WARNING - Aperture 85: Nov 3 12:25: Total variance weighted spectrum flux is 7110.066 Nov 3 12:25: Total unweighted spectrum flux is 2157.967 Nov 3 12:25: EXTRACT: Aperture 85 variance spectrum bias factor is 0.3035087 Nov 3 12:25: EXTRACT: WARNING - Aperture 86: Nov 3 12:25: Total variance weighted spectrum flux is 6941.023 Nov 3 12:25: Total unweighted spectrum flux is 1893.674 Nov 3 12:25: EXTRACT: Aperture 86 variance spectrum bias factor is 0.2728235 Nov 3 12:25: EXTRACT: WARNING - Aperture 87: Nov 3 12:25: Total variance weighted spectrum flux is 6400.008 Nov 3 12:25: Total unweighted spectrum flux is 2791.419 Nov 3 12:25: EXTRACT: Aperture 87 variance spectrum bias factor is 0.4361587 Nov 3 12:25: EXTRACT: WARNING - Aperture 88: Nov 3 12:25: Total variance weighted spectrum flux is 6283.294 Nov 3 12:25: Total unweighted spectrum flux is 2589.941 Nov 3 12:25: EXTRACT: Aperture 88 variance spectrum bias factor is 0.4121947 Nov 3 12:25: EXTRACT: WARNING - Aperture 89: Nov 3 12:25: Total variance weighted spectrum flux is 10593.88 Nov 3 12:25: Total unweighted spectrum flux is 1453.611 Nov 3 12:25: EXTRACT: Aperture 89 variance spectrum bias factor is 0.1372123 Nov 3 12:25: EXTRACT: WARNING - Aperture 90: Nov 3 12:25: Total variance weighted spectrum flux is 3858.153 Nov 3 12:25: Total unweighted spectrum flux is 951.9021 Nov 3 12:25: EXTRACT: Aperture 90 variance spectrum bias factor is 0.2467248 Nov 3 12:25: EXTRACT: WARNING - Aperture 91: Nov 3 12:25: Total variance weighted spectrum flux is 5935.982 Nov 3 12:25: Total unweighted spectrum flux is 554.9883 Nov 3 12:25: EXTRACT: Aperture 91 variance spectrum bias factor is 0.09349561 Nov 3 12:25: EXTRACT: WARNING - Aperture 92: Nov 3 12:25: Total variance weighted spectrum flux is 7490.774 Nov 3 12:25: Total unweighted spectrum flux is -869.8912 Nov 3 12:25: Variance spectrum bias factor ignored Nov 3 12:25: EXTRACT: WARNING - Aperture 93: Nov 3 12:25: Total variance weighted spectrum flux is 4284.871 Nov 3 12:25: Total unweighted spectrum flux is -761.0421 Nov 3 12:25: Variance spectrum bias factor ignored Nov 3 12:25: EXTRACT: WARNING - Aperture 94: Nov 3 12:25: Total variance weighted spectrum flux is 4366.565 Nov 3 12:25: Total unweighted spectrum flux is -326.9085 Nov 3 12:25: Variance spectrum bias factor ignored Nov 3 12:25: EXTRACT: WARNING - Aperture 95: Nov 3 12:25: Total variance weighted spectrum flux is 6627.082 Nov 3 12:25: Total unweighted spectrum flux is 667.8712 Nov 3 12:25: EXTRACT: Aperture 95 variance spectrum bias factor is 0.1007791 Nov 3 12:25: EXTRACT: WARNING - Aperture 96: Nov 3 12:25: Total variance weighted spectrum flux is 5217.907 Nov 3 12:25: Total unweighted spectrum flux is 49.92753 Nov 3 12:25: EXTRACT: Aperture 96 variance spectrum bias factor is 0.009568498 Nov 3 12:25: EXTRACT: WARNING - Aperture 97: Nov 3 12:25: Total variance weighted spectrum flux is 5127.785 Nov 3 12:25: Total unweighted spectrum flux is 874.3612 Nov 3 12:25: EXTRACT: Aperture 97 variance spectrum bias factor is 0.1705144 Nov 3 12:25: EXTRACT: WARNING - Aperture 98: Nov 3 12:25: Total variance weighted spectrum flux is 7002.369 Nov 3 12:25: Total unweighted spectrum flux is 121.6997 Nov 3 12:25: EXTRACT: Aperture 98 variance spectrum bias factor is 0.01737978 Nov 3 12:25: EXTRACT: WARNING - Aperture 99: Nov 3 12:25: Total variance weighted spectrum flux is 6521.203 Nov 3 12:25: Total unweighted spectrum flux is -687.7822 Nov 3 12:25: Variance spectrum bias factor ignored Nov 3 12:25: EXTRACT: WARNING - Aperture 100: Nov 3 12:25: Total variance weighted spectrum flux is 5107.154 Nov 3 12:25: Total unweighted spectrum flux is 13.40469 Nov 3 12:25: EXTRACT: Aperture 100 variance spectrum bias factor is 0.002624689 Nov 3 12:25: EXTRACT: WARNING - Aperture 101: Nov 3 12:25: Total variance weighted spectrum flux is 11084.42 Nov 3 12:25: Total unweighted spectrum flux is 2843.56 Nov 3 12:25: EXTRACT: Aperture 101 variance spectrum bias factor is 0.2565366 Nov 3 12:25: EXTRACT: WARNING - Aperture 102: Nov 3 12:25: Total variance weighted spectrum flux is 4719.831 Nov 3 12:25: Total unweighted spectrum flux is -378.2513 Nov 3 12:25: Variance spectrum bias factor ignored Nov 3 12:25: EXTRACT: WARNING - Aperture 103: Nov 3 12:25: Total variance weighted spectrum flux is 8154.529 Nov 3 12:25: Total unweighted spectrum flux is 15.77272 Nov 3 12:25: EXTRACT: Aperture 103 variance spectrum bias factor is 0.001934229 Nov 3 12:25: EXTRACT: WARNING - Aperture 104: Nov 3 12:25: Total variance weighted spectrum flux is 2681.351 Nov 3 12:25: Total unweighted spectrum flux is -559.9283 Nov 3 12:25: Variance spectrum bias factor ignored Nov 3 12:25: EXTRACT: WARNING - Aperture 105: Nov 3 12:25: Total variance weighted spectrum flux is 3110.576 Nov 3 12:25: Total unweighted spectrum flux is -305.7691 Nov 3 12:25: Variance spectrum bias factor ignored Nov 3 12:25: EXTRACT: WARNING - Aperture 106: Nov 3 12:25: Total variance weighted spectrum flux is 6913.711 Nov 3 12:25: Total unweighted spectrum flux is 121.1524 Nov 3 12:25: EXTRACT: Aperture 106 variance spectrum bias factor is 0.01752349 Nov 3 12:25: EXTRACT: WARNING - Aperture 107: Nov 3 12:25: Total variance weighted spectrum flux is 4644.933 Nov 3 12:25: Total unweighted spectrum flux is -49.62078 Nov 3 12:25: Variance spectrum bias factor ignored Nov 3 12:25: EXTRACT: WARNING - Aperture 108: Nov 3 12:25: Total variance weighted spectrum flux is 5234.915 Nov 3 12:25: Total unweighted spectrum flux is -85.16566 Nov 3 12:25: Variance spectrum bias factor ignored Nov 3 12:25: EXTRACT: WARNING - Aperture 109: Nov 3 12:25: Total variance weighted spectrum flux is 5529.061 Nov 3 12:25: Total unweighted spectrum flux is 953.3762 Nov 3 12:25: EXTRACT: Aperture 109 variance spectrum bias factor is 0.1724301 Nov 3 12:25: EXTRACT: WARNING - Aperture 111: Nov 3 12:25: Total variance weighted spectrum flux is 4311.899 Nov 3 12:25: Total unweighted spectrum flux is 358.4661 Nov 3 12:25: EXTRACT: Aperture 111 variance spectrum bias factor is 0.08313415 Nov 3 12:25: EXTRACT: WARNING - Aperture 112: Nov 3 12:25: Total variance weighted spectrum flux is 2237.193 Nov 3 12:25: Total unweighted spectrum flux is 49.53889 Nov 3 12:25: EXTRACT: Aperture 112 variance spectrum bias factor is 0.02214333 Nov 3 12:25: EXTRACT: WARNING - Aperture 113: Nov 3 12:25: Total variance weighted spectrum flux is 5725.958 Nov 3 12:25: Total unweighted spectrum flux is 512.7818 Nov 3 12:25: EXTRACT: Aperture 113 variance spectrum bias factor is 0.08955389 Nov 3 12:25: EXTRACT: WARNING - Aperture 114: Nov 3 12:25: Total variance weighted spectrum flux is 2107.767 Nov 3 12:25: Total unweighted spectrum flux is -1272.087 Nov 3 12:25: Variance spectrum bias factor ignored Nov 3 12:25: EXTRACT: WARNING - Aperture 115: Nov 3 12:25: Total variance weighted spectrum flux is 2613.673 Nov 3 12:25: Total unweighted spectrum flux is -2833.816 Nov 3 12:25: Variance spectrum bias factor ignored 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.0027.ec.fits,REFSPEC1 = EchelleThAr.0027.ec.fits EchelleThAr.0027.ec.fits updated add EchelleThAr.0031.ec.fits,REFSPEC1 = EchelleThAr.0031.ec.fits EchelleThAr.0031.ec.fits updated add EchelleThAr.0035.ec.fits,REFSPEC1 = EchelleThAr.0035.ec.fits EchelleThAr.0035.ec.fits updated add EchelleThAr.0040.ec.fits,REFSPEC1 = EchelleThAr.0040.ec.fits EchelleThAr.0040.ec.fits updated add EchelleThAr.0041.ec.fits,REFSPEC1 = EchelleThAr.0041.ec.fits EchelleThAr.0041.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 -> 00:38:01.573061 EchelleThAr.0017.ec.fits updated add EchelleThAr.0018.ec.fits,UTMIDDLE = 0 EchelleThAr.0018.ec.fits updated EchelleThAr.0018.ec.fits,UTMIDDLE: 0 -> 00:40:53.223779 EchelleThAr.0018.ec.fits updated add EchelleThAr.0019.ec.fits,UTMIDDLE = 0 EchelleThAr.0019.ec.fits updated EchelleThAr.0019.ec.fits,UTMIDDLE: 0 -> 00:43:56.610776 EchelleThAr.0019.ec.fits updated add EchelleThAr.0020.ec.fits,UTMIDDLE = 0 EchelleThAr.0020.ec.fits updated EchelleThAr.0020.ec.fits,UTMIDDLE: 0 -> 00:46:59.075805 EchelleThAr.0020.ec.fits updated add EchelleThAr.0027.ec.fits,UTMIDDLE = 0 EchelleThAr.0027.ec.fits updated EchelleThAr.0027.ec.fits,UTMIDDLE: 0 -> 02:49:22.752752 EchelleThAr.0027.ec.fits updated add EchelleThAr.0031.ec.fits,UTMIDDLE = 0 EchelleThAr.0031.ec.fits updated EchelleThAr.0031.ec.fits,UTMIDDLE: 0 -> 03:53:23.827262 EchelleThAr.0031.ec.fits updated add EchelleThAr.0035.ec.fits,UTMIDDLE = 0 EchelleThAr.0035.ec.fits updated EchelleThAr.0035.ec.fits,UTMIDDLE: 0 -> 05:06:52.417776 EchelleThAr.0035.ec.fits updated add EchelleThAr.0040.ec.fits,UTMIDDLE = 0 EchelleThAr.0040.ec.fits updated EchelleThAr.0040.ec.fits,UTMIDDLE: 0 -> 06:53:20.482798 EchelleThAr.0040.ec.fits updated add EchelleThAr.0041.ec.fits,UTMIDDLE = 0 EchelleThAr.0041.ec.fits updated EchelleThAr.0041.ec.fits,UTMIDDLE: 0 -> 06:56:23.023740 EchelleThAr.0041.ec.fits updated add 141029.0021.ec.fits,UTMIDDLE = 0 141029.0021.ec.fits updated 141029.0021.ec.fits,UTMIDDLE: 0 -> 01:43:05.024892 141029.0021.ec.fits updated add 141029.0022.ec.fits,UTMIDDLE = 0 141029.0022.ec.fits updated 141029.0022.ec.fits,UTMIDDLE: 0 -> 02:06:47.140046 141029.0022.ec.fits updated add 141029.0023.ec.fits,UTMIDDLE = 0 141029.0023.ec.fits updated 141029.0023.ec.fits,UTMIDDLE: 0 -> 02:30:39.114147 141029.0023.ec.fits updated add 141029.0028.ec.fits,UTMIDDLE = 0 141029.0028.ec.fits updated 141029.0028.ec.fits,UTMIDDLE: 0 -> 02:59:52.411986 141029.0028.ec.fits updated add 141029.0029.ec.fits,UTMIDDLE = 0 141029.0029.ec.fits updated 141029.0029.ec.fits,UTMIDDLE: 0 -> 03:21:33.291112 141029.0029.ec.fits updated add 141029.0030.ec.fits,UTMIDDLE = 0 141029.0030.ec.fits updated 141029.0030.ec.fits,UTMIDDLE: 0 -> 03:42:51.531920 141029.0030.ec.fits updated add 141029.0032.ec.fits,UTMIDDLE = 0 141029.0032.ec.fits updated 141029.0032.ec.fits,UTMIDDLE: 0 -> 04:09:42.182208 141029.0032.ec.fits updated add 141029.0033.ec.fits,UTMIDDLE = 0 141029.0033.ec.fits updated 141029.0033.ec.fits,UTMIDDLE: 0 -> 04:30:46.796818 141029.0033.ec.fits updated add 141029.0034.ec.fits,UTMIDDLE = 0 141029.0034.ec.fits updated 141029.0034.ec.fits,UTMIDDLE: 0 -> 04:51:15.665789 141029.0034.ec.fits updated add 141029.0036.ec.fits,UTMIDDLE = 0 141029.0036.ec.fits updated 141029.0036.ec.fits,UTMIDDLE: 0 -> 05:23:12.868244 141029.0036.ec.fits updated add 141029.0037.ec.fits,UTMIDDLE = 0 141029.0037.ec.fits updated 141029.0037.ec.fits,UTMIDDLE: 0 -> 05:51:09.159741 141029.0037.ec.fits updated add 141029.0038.ec.fits,UTMIDDLE = 0 141029.0038.ec.fits updated 141029.0038.ec.fits,UTMIDDLE: 0 -> 06:18:44.337743 141029.0038.ec.fits updated add 141029.0039.ec.fits,UTMIDDLE = 0 141029.0039.ec.fits updated 141029.0039.ec.fits,UTMIDDLE: 0 -> 06:42:05.232932 141029.0039.ec.fits updated Setting Julian Date Keywords # Image jd hjd ljd # SETJD: Observatory parameters for Apache Point Observatory # timezone = 7 141029.0021.ec.fits 2456959.57159 2456959.57226 2456959 141029.0022.ec.fits 2456959.58805 2456959.58791 2456959 141029.0023.ec.fits 2456959.60462 2456959.60477 2456959 141029.0028.ec.fits 2456959.62491 2456959.62508 2456959 141029.0029.ec.fits 2456959.63997 2456959.64015 2456959 141029.0030.ec.fits 2456959.65476 2456959.65536 2456959 141029.0032.ec.fits 2456959.67340 2456959.67379 2456959 141029.0033.ec.fits 2456959.68804 2456959.68817 2456959 141029.0034.ec.fits 2456959.70226 2456959.70190 2456959 141029.0036.ec.fits 2456959.72445 2456959.72438 2456959 141029.0037.ec.fits 2456959.74386 2456959.74384 2456959 141029.0038.ec.fits 2456959.76301 2456959.76346 2456959 141029.0039.ec.fits 2456959.77923 2456959.77971 2456959 ECREIDENTIFY: NOAO/IRAF V2.16.1 jeanm12@tequila.nmsu.edu Mon 12:25:30 03-Nov-2014 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS EchelleThAr.0017.ec 1017/2055 1017/1017 -0.21 1.54 2.72E-6 0.0157 EchelleThAr.0018.ec 1953/2055 1953/1953 -0.187 1.38 2.43E-6 0.0109 EchelleThAr.0019.ec 1934/2055 1934/1934 -0.101 0.747 1.32E-6 0.00971 EchelleThAr.0020.ec 1876/2055 1876/1876 -0.0286 0.215 3.80E-7 0.0114 EchelleThAr.0027.ec 1912/2055 1912/1912 0.0847 -0.607 -1.1E-6 0.00932 EchelleThAr.0031.ec 1959/2055 1959/1959 0.125 -0.897 -1.6E-6 0.00925 EchelleThAr.0035.ec 1967/2055 1967/1967 -0.33 2.44 4.32E-6 0.0102 EchelleThAr.0040.ec 1934/2055 1934/1934 -0.372 2.75 4.86E-6 0.00978 EchelleThAr.0041.ec 1925/2055 1925/1925 -0.382 2.83 4.99E-6 0.00996 [141029.0021.ec] refspec1='EchelleThAr.0020.ec 0.54165345' [141029.0021.ec] refspec2='EchelleThAr.0027.ec 0.45834658' [141029.0022.ec] refspec1='EchelleThAr.0020.ec 0.34800178' [141029.0022.ec] refspec2='EchelleThAr.0027.ec 0.65199822' [141029.0023.ec] refspec1='EchelleThAr.0020.ec 0.15300763' [141029.0023.ec] refspec2='EchelleThAr.0027.ec 0.84699237' [141029.0028.ec] refspec1='EchelleThAr.0027.ec 0.83607209' [141029.0028.ec] refspec2='EchelleThAr.0031.ec 0.16392788' [141029.0029.ec] refspec1='EchelleThAr.0027.ec 0.49739626' [141029.0029.ec] refspec2='EchelleThAr.0031.ec 0.50260371' [141029.0030.ec] refspec1='EchelleThAr.0027.ec 0.16461419' [141029.0030.ec] refspec2='EchelleThAr.0031.ec 0.8353858' [141029.0032.ec] refspec1='EchelleThAr.0031.ec 0.77807987' [141029.0032.ec] refspec2='EchelleThAr.0035.ec 0.22192012' [141029.0033.ec] refspec1='EchelleThAr.0031.ec 0.49122751' [141029.0033.ec] refspec2='EchelleThAr.0035.ec 0.50877249' [141029.0034.ec] refspec1='EchelleThAr.0031.ec 0.21248333' [141029.0034.ec] refspec2='EchelleThAr.0035.ec 0.78751665' [141029.0036.ec] refspec1='EchelleThAr.0035.ec 0.8465184' [141029.0036.ec] refspec2='EchelleThAr.0040.ec 0.1534816' [141029.0037.ec] refspec1='EchelleThAr.0035.ec 0.58410847' [141029.0037.ec] refspec2='EchelleThAr.0040.ec 0.4158915' [141029.0038.ec] refspec1='EchelleThAr.0035.ec 0.32500374' [141029.0038.ec] refspec2='EchelleThAr.0040.ec 0.67499626' [141029.0039.ec] refspec1='EchelleThAr.0035.ec 0.10570491' [141029.0039.ec] refspec2='EchelleThAr.0040.ec 0.8942951' [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.0027.ec] refspec1='EchelleThAr.0027.ec' [EchelleThAr.0031.ec] refspec1='EchelleThAr.0031.ec' [EchelleThAr.0035.ec] refspec1='EchelleThAr.0035.ec' [EchelleThAr.0040.ec] refspec1='EchelleThAr.0040.ec' [EchelleThAr.0041.ec] refspec1='EchelleThAr.0041.ec' 141029.0021.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 0.54165345' 141029.0021.ec.fits: REFSPEC2 = 'EchelleThAr.0027.ec 0.45834658' 141029.0021.ec.fits: ap = 1, w1 = 10811.76, w2 = 10583.57, dw = -0.1383, nw = 1651 141029.0021.ec.fits: ap = 2, w1 = 10611.56, w2 = 10387.6, dw = -0.13574, nw = 1651 141029.0021.ec.fits: ap = 3, w1 = 10418.64, w2 = 10198.75, dw = -0.13326, nw = 1651 141029.0021.ec.fits: ap = 4, w1 = 10232.6, w2 = 10016.65, dw = -0.13088, nw = 1651 141029.0021.ec.fits: ap = 5, w1 = 10053.1, w2 = 9840.938, dw = -0.12858, nw = 1651 141029.0021.ec.fits: ap = 6, w1 = 9879.783, w2 = 9671.285, dw = -0.12636, nw = 1651 141029.0021.ec.fits: ap = 7, w1 = 9712.343, w2 = 9507.383, dw = -0.12422, nw = 1651 141029.0021.ec.fits: ap = 8, w1 = 9550.484, w2 = 9348.944, dw = -0.12215, nw = 1651 141029.0021.ec.fits: ap = 9, w1 = 9393.931, w2 = 9195.698, dw = -0.12014, nw = 1651 141029.0021.ec.fits: ap = 10, w1 = 9242.428, w2 = 9047.396, dw = -0.1182, nw = 1651 141029.0021.ec.fits: ap = 11, w1 = 9095.735, w2 = 8903.802, dw = -0.11632, nw = 1651 141029.0021.ec.fits: ap = 12, w1 = 8953.626, w2 = 8764.695, dw = -0.1145, nw = 1651 141029.0021.ec.fits: ap = 13, w1 = 8815.889, w2 = 8629.868, dw = -0.11274, nw = 1651 141029.0021.ec.fits: ap = 14, w1 = 8682.327, w2 = 8499.127, dw = -0.11103, nw = 1651 141029.0021.ec.fits: ap = 15, w1 = 8552.751, w2 = 8372.288, dw = -0.10937, nw = 1651 141029.0021.ec.fits: ap = 16, w1 = 8426.986, w2 = 8249.179, dw = -0.10776, nw = 1651 141029.0021.ec.fits: ap = 17, w1 = 8304.866, w2 = 8129.639, dw = -0.1062, nw = 1651 141029.0021.ec.fits: ap = 18, w1 = 8186.235, w2 = 8013.514, dw = -0.10468, nw = 1651 141029.0021.ec.fits: ap = 19, w1 = 8070.946, w2 = 7900.66, dw = -0.1032, nw = 1651 141029.0021.ec.fits: ap = 20, w1 = 7958.86, w2 = 7790.941, dw = -0.10177, nw = 1651 141029.0021.ec.fits: ap = 21, w1 = 7849.844, w2 = 7684.228, dw = -0.10037, nw = 1651 141029.0021.ec.fits: ap = 22, w1 = 7743.775, w2 = 7580.398, dw = -0.09902, nw = 1651 141029.0021.ec.fits: ap = 23, w1 = 7640.534, w2 = 7479.338, dw = -0.09769, nw = 1651 141029.0021.ec.fits: ap = 24, w1 = 7540.01, w2 = 7380.937, dw = -0.09641, nw = 1651 141029.0021.ec.fits: ap = 25, w1 = 7442.097, w2 = 7285.092, dw = -0.09515, nw = 1651 141029.0021.ec.fits: ap = 26, w1 = 7346.695, w2 = 7191.704, dw = -0.09393, nw = 1651 141029.0021.ec.fits: ap = 27, w1 = 7253.707, w2 = 7100.681, dw = -0.09274, nw = 1651 141029.0021.ec.fits: ap = 28, w1 = 7163.045, w2 = 7011.933, dw = -0.09158, nw = 1651 141029.0021.ec.fits: ap = 29, w1 = 7074.621, w2 = 6925.376, dw = -0.09045, nw = 1651 141029.0021.ec.fits: ap = 30, w1 = 6988.354, w2 = 6840.931, dw = -0.08935, nw = 1651 141029.0021.ec.fits: ap = 31, w1 = 6904.166, w2 = 6758.52, dw = -0.08827, nw = 1651 141029.0021.ec.fits: ap = 32, w1 = 6821.982, w2 = 6678.072, dw = -0.08722, nw = 1651 141029.0021.ec.fits: ap = 33, w1 = 6741.732, w2 = 6599.517, dw = -0.08619, nw = 1651 141029.0021.ec.fits: ap = 34, w1 = 6663.348, w2 = 6522.788, dw = -0.08519, nw = 1651 141029.0021.ec.fits: ap = 35, w1 = 6586.766, w2 = 6447.824, dw = -0.08421, nw = 1651 141029.0021.ec.fits: ap = 36, w1 = 6511.925, w2 = 6374.563, dw = -0.08325, nw = 1651 141029.0021.ec.fits: ap = 37, w1 = 6438.765, w2 = 6302.948, dw = -0.08231, nw = 1651 141029.0021.ec.fits: ap = 38, w1 = 6367.231, w2 = 6232.926, dw = -0.0814, nw = 1651 141029.0021.ec.fits: ap = 39, w1 = 6297.27, w2 = 6164.442, dw = -0.0805, nw = 1651 141029.0021.ec.fits: ap = 40, w1 = 6228.83, w2 = 6097.447, dw = -0.07963, nw = 1651 141029.0021.ec.fits: ap = 41, w1 = 6161.861, w2 = 6031.893, dw = -0.07877, nw = 1651 141029.0021.ec.fits: ap = 42, w1 = 6096.317, w2 = 5967.733, dw = -0.07793, nw = 1651 141029.0021.ec.fits: ap = 43, w1 = 6032.154, w2 = 5904.925, dw = -0.07711, nw = 1651 141029.0021.ec.fits: ap = 44, w1 = 5969.327, w2 = 5843.425, dw = -0.0763, nw = 1651 141029.0021.ec.fits: ap = 45, w1 = 5907.795, w2 = 5783.193, dw = -0.07552, nw = 1651 141029.0021.ec.fits: ap = 46, w1 = 5847.52, w2 = 5724.191, dw = -0.07475, nw = 1651 141029.0021.ec.fits: ap = 47, w1 = 5788.462, w2 = 5666.38, dw = -0.07399, nw = 1651 141029.0021.ec.fits: ap = 48, w1 = 5730.585, w2 = 5609.726, dw = -0.07325, nw = 1651 141029.0021.ec.fits: ap = 49, w1 = 5673.855, w2 = 5554.194, dw = -0.07252, nw = 1651 141029.0021.ec.fits: ap = 50, w1 = 5618.237, w2 = 5499.751, dw = -0.07181, nw = 1651 141029.0021.ec.fits: ap = 51, w1 = 5563.699, w2 = 5446.365, dw = -0.07111, nw = 1651 141029.0021.ec.fits: ap = 52, w1 = 5510.21, w2 = 5394.006, dw = -0.07043, nw = 1651 141029.0021.ec.fits: ap = 53, w1 = 5457.74, w2 = 5342.644, dw = -0.06976, nw = 1651 141029.0021.ec.fits: ap = 54, w1 = 5406.26, w2 = 5292.252, dw = -0.0691, nw = 1651 141029.0021.ec.fits: ap = 55, w1 = 5355.742, w2 = 5242.801, dw = -0.06845, nw = 1651 141029.0021.ec.fits: ap = 56, w1 = 5306.16, w2 = 5194.267, dw = -0.06781, nw = 1651 141029.0021.ec.fits: ap = 57, w1 = 5257.488, w2 = 5146.623, dw = -0.06719, nw = 1651 141029.0021.ec.fits: ap = 58, w1 = 5209.701, w2 = 5099.845, dw = -0.06658, nw = 1651 141029.0021.ec.fits: ap = 59, w1 = 5162.775, w2 = 5053.91, dw = -0.06598, nw = 1651 141029.0021.ec.fits: ap = 60, w1 = 5116.687, w2 = 5008.796, dw = -0.06539, nw = 1651 141029.0021.ec.fits: ap = 61, w1 = 5071.415, w2 = 4964.48, dw = -0.06481, nw = 1651 141029.0021.ec.fits: ap = 62, w1 = 5026.937, w2 = 4920.942, dw = -0.06424, nw = 1651 141029.0021.ec.fits: ap = 63, w1 = 4983.233, w2 = 4878.161, dw = -0.06368, nw = 1651 141029.0021.ec.fits: ap = 64, w1 = 4940.282, w2 = 4836.118, dw = -0.06313, nw = 1651 141029.0021.ec.fits: ap = 65, w1 = 4898.066, w2 = 4794.794, dw = -0.06259, nw = 1651 141029.0021.ec.fits: ap = 66, w1 = 4856.565, w2 = 4754.17, dw = -0.06206, nw = 1651 141029.0021.ec.fits: ap = 67, w1 = 4815.762, w2 = 4714.229, dw = -0.06154, nw = 1651 141029.0021.ec.fits: ap = 68, w1 = 4775.639, w2 = 4674.954, dw = -0.06102, nw = 1651 141029.0021.ec.fits: ap = 69, w1 = 4736.18, w2 = 4636.328, dw = -0.06052, nw = 1651 141029.0021.ec.fits: ap = 70, w1 = 4697.367, w2 = 4598.335, dw = -0.06002, nw = 1651 141029.0021.ec.fits: ap = 71, w1 = 4659.186, w2 = 4560.96, dw = -0.05953, nw = 1651 141029.0021.ec.fits: ap = 72, w1 = 4621.62, w2 = 4524.188, dw = -0.05905, nw = 1651 141029.0021.ec.fits: ap = 73, w1 = 4584.656, w2 = 4488.005, dw = -0.05858, nw = 1651 141029.0021.ec.fits: ap = 74, w1 = 4548.279, w2 = 4452.396, dw = -0.05811, nw = 1651 141029.0021.ec.fits: ap = 75, w1 = 4512.474, w2 = 4417.348, dw = -0.05765, nw = 1651 141029.0021.ec.fits: ap = 76, w1 = 4477.229, w2 = 4382.847, dw = -0.0572, nw = 1651 141029.0021.ec.fits: ap = 77, w1 = 4442.531, w2 = 4348.882, dw = -0.05676, nw = 1651 141029.0021.ec.fits: ap = 78, w1 = 4408.367, w2 = 4315.439, dw = -0.05632, nw = 1651 141029.0021.ec.fits: ap = 79, w1 = 4374.724, w2 = 4282.507, dw = -0.05589, nw = 1651 141029.0021.ec.fits: ap = 80, w1 = 4341.591, w2 = 4250.074, dw = -0.05547, nw = 1651 141029.0021.ec.fits: ap = 81, w1 = 4308.957, w2 = 4218.128, dw = -0.05505, nw = 1651 141029.0021.ec.fits: ap = 82, w1 = 4276.809, w2 = 4186.66, dw = -0.05464, nw = 1651 141029.0021.ec.fits: ap = 83, w1 = 4245.138, w2 = 4155.657, dw = -0.05423, nw = 1651 141029.0021.ec.fits: ap = 84, w1 = 4213.933, w2 = 4125.111, dw = -0.05383, nw = 1651 141029.0021.ec.fits: ap = 85, w1 = 4183.184, w2 = 4095.01, dw = -0.05344, nw = 1651 141029.0021.ec.fits: ap = 86, w1 = 4152.88, w2 = 4065.346, dw = -0.05305, nw = 1651 141029.0021.ec.fits: ap = 87, w1 = 4123.013, w2 = 4036.109, dw = -0.05267, nw = 1651 141029.0021.ec.fits: ap = 88, w1 = 4093.572, w2 = 4007.29, dw = -0.05229, nw = 1651 141029.0021.ec.fits: ap = 89, w1 = 4064.549, w2 = 3978.879, dw = -0.05192, nw = 1651 141029.0021.ec.fits: ap = 90, w1 = 4035.935, w2 = 3950.868, dw = -0.05156, nw = 1651 141029.0021.ec.fits: ap = 91, w1 = 4007.721, w2 = 3923.249, dw = -0.05119, nw = 1651 141029.0021.ec.fits: ap = 92, w1 = 3979.899, w2 = 3896.014, dw = -0.05084, nw = 1651 141029.0021.ec.fits: ap = 93, w1 = 3952.461, w2 = 3869.155, dw = -0.05049, nw = 1651 141029.0021.ec.fits: ap = 94, w1 = 3925.399, w2 = 3842.663, dw = -0.05014, nw = 1651 141029.0021.ec.fits: ap = 95, w1 = 3898.706, w2 = 3816.532, dw = -0.0498, nw = 1651 141029.0021.ec.fits: ap = 96, w1 = 3872.373, w2 = 3790.754, dw = -0.04947, nw = 1651 141029.0021.ec.fits: ap = 97, w1 = 3846.394, w2 = 3765.322, dw = -0.04913, nw = 1651 141029.0021.ec.fits: ap = 98, w1 = 3820.761, w2 = 3740.229, dw = -0.04881, nw = 1651 141029.0021.ec.fits: ap = 99, w1 = 3795.468, w2 = 3715.468, dw = -0.04848, nw = 1651 141029.0021.ec.fits: ap = 100, w1 = 3770.507, w2 = 3691.034, dw = -0.04817, nw = 1651 141029.0021.ec.fits: ap = 101, w1 = 3745.874, w2 = 3666.918, dw = -0.04785, nw = 1651 141029.0021.ec.fits: ap = 102, w1 = 3721.56, w2 = 3643.116, dw = -0.04754, nw = 1651 141029.0021.ec.fits: ap = 103, w1 = 3697.56, w2 = 3619.621, dw = -0.04724, nw = 1651 141029.0021.ec.fits: ap = 104, w1 = 3673.868, w2 = 3596.427, dw = -0.04693, nw = 1651 141029.0021.ec.fits: ap = 105, w1 = 3650.477, w2 = 3573.528, dw = -0.04664, nw = 1651 141029.0021.ec.fits: ap = 106, w1 = 3627.383, w2 = 3550.919, dw = -0.04634, nw = 1651 141029.0021.ec.fits: ap = 107, w1 = 3604.58, w2 = 3528.595, dw = -0.04605, nw = 1651 141029.0021.ec.fits: ap = 108, w1 = 3582.061, w2 = 3506.549, dw = -0.04577, nw = 1651 141029.0021.ec.fits: ap = 109, w1 = 3559.823, w2 = 3484.777, dw = -0.04548, nw = 1651 141029.0021.ec.fits: ap = 110, w1 = 3537.859, w2 = 3463.274, dw = -0.0452, nw = 1651 141029.0021.ec.fits: ap = 111, w1 = 3516.165, w2 = 3442.035, dw = -0.04493, nw = 1651 141029.0021.ec.fits: ap = 112, w1 = 3494.735, w2 = 3421.054, dw = -0.04466, nw = 1651 141029.0021.ec.fits: ap = 113, w1 = 3473.566, w2 = 3400.328, dw = -0.04439, nw = 1651 141029.0021.ec.fits: ap = 114, w1 = 3452.651, w2 = 3379.852, dw = -0.04412, nw = 1651 141029.0021.ec.fits: ap = 115, w1 = 3431.987, w2 = 3359.62, dw = -0.04386, nw = 1651 141029.0022.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 0.34800178' 141029.0022.ec.fits: REFSPEC2 = 'EchelleThAr.0027.ec 0.65199822' 141029.0022.ec.fits: ap = 1, w1 = 10811.77, w2 = 10583.57, dw = -0.13831, nw = 1651 141029.0022.ec.fits: ap = 2, w1 = 10611.57, w2 = 10387.59, dw = -0.13574, nw = 1651 141029.0022.ec.fits: ap = 3, w1 = 10418.65, w2 = 10198.75, dw = -0.13327, nw = 1651 141029.0022.ec.fits: ap = 4, w1 = 10232.61, w2 = 10016.65, dw = -0.13089, nw = 1651 141029.0022.ec.fits: ap = 5, w1 = 10053.11, w2 = 9840.938, dw = -0.12859, nw = 1651 141029.0022.ec.fits: ap = 6, w1 = 9879.79, w2 = 9671.285, dw = -0.12637, nw = 1651 141029.0022.ec.fits: ap = 7, w1 = 9712.349, w2 = 9507.383, dw = -0.12422, nw = 1651 141029.0022.ec.fits: ap = 8, w1 = 9550.489, w2 = 9348.944, dw = -0.12215, nw = 1651 141029.0022.ec.fits: ap = 9, w1 = 9393.936, w2 = 9195.699, dw = -0.12014, nw = 1651 141029.0022.ec.fits: ap = 10, w1 = 9242.433, w2 = 9047.397, dw = -0.1182, nw = 1651 141029.0022.ec.fits: ap = 11, w1 = 9095.739, w2 = 8903.803, dw = -0.11632, nw = 1651 141029.0022.ec.fits: ap = 12, w1 = 8953.629, w2 = 8764.696, dw = -0.11451, nw = 1651 141029.0022.ec.fits: ap = 13, w1 = 8815.892, w2 = 8629.869, dw = -0.11274, nw = 1651 141029.0022.ec.fits: ap = 14, w1 = 8682.33, w2 = 8499.128, dw = -0.11103, nw = 1651 141029.0022.ec.fits: ap = 15, w1 = 8552.753, w2 = 8372.289, dw = -0.10937, nw = 1651 141029.0022.ec.fits: ap = 16, w1 = 8426.988, w2 = 8249.18, dw = -0.10776, nw = 1651 141029.0022.ec.fits: ap = 17, w1 = 8304.868, w2 = 8129.64, dw = -0.1062, nw = 1651 141029.0022.ec.fits: ap = 18, w1 = 8186.238, w2 = 8013.515, dw = -0.10468, nw = 1651 141029.0022.ec.fits: ap = 19, w1 = 8070.949, w2 = 7900.661, dw = -0.1032, nw = 1651 141029.0022.ec.fits: ap = 20, w1 = 7958.862, w2 = 7790.942, dw = -0.10177, nw = 1651 141029.0022.ec.fits: ap = 21, w1 = 7849.846, w2 = 7684.229, dw = -0.10037, nw = 1651 141029.0022.ec.fits: ap = 22, w1 = 7743.777, w2 = 7580.399, dw = -0.09902, nw = 1651 141029.0022.ec.fits: ap = 23, w1 = 7640.536, w2 = 7479.339, dw = -0.0977, nw = 1651 141029.0022.ec.fits: ap = 24, w1 = 7540.012, w2 = 7380.938, dw = -0.09641, nw = 1651 141029.0022.ec.fits: ap = 25, w1 = 7442.099, w2 = 7285.093, dw = -0.09516, nw = 1651 141029.0022.ec.fits: ap = 26, w1 = 7346.697, w2 = 7191.705, dw = -0.09393, nw = 1651 141029.0022.ec.fits: ap = 27, w1 = 7253.709, w2 = 7100.681, dw = -0.09274, nw = 1651 141029.0022.ec.fits: ap = 28, w1 = 7163.047, w2 = 7011.934, dw = -0.09158, nw = 1651 141029.0022.ec.fits: ap = 29, w1 = 7074.623, w2 = 6925.377, dw = -0.09045, nw = 1651 141029.0022.ec.fits: ap = 30, w1 = 6988.356, w2 = 6840.932, dw = -0.08935, nw = 1651 141029.0022.ec.fits: ap = 31, w1 = 6904.168, w2 = 6758.521, dw = -0.08827, nw = 1651 141029.0022.ec.fits: ap = 32, w1 = 6821.984, w2 = 6678.073, dw = -0.08722, nw = 1651 141029.0022.ec.fits: ap = 33, w1 = 6741.734, w2 = 6599.517, dw = -0.08619, nw = 1651 141029.0022.ec.fits: ap = 34, w1 = 6663.35, w2 = 6522.789, dw = -0.08519, nw = 1651 141029.0022.ec.fits: ap = 35, w1 = 6586.768, w2 = 6447.824, dw = -0.08421, nw = 1651 141029.0022.ec.fits: ap = 36, w1 = 6511.927, w2 = 6374.563, dw = -0.08325, nw = 1651 141029.0022.ec.fits: ap = 37, w1 = 6438.768, w2 = 6302.949, dw = -0.08231, nw = 1651 141029.0022.ec.fits: ap = 38, w1 = 6367.234, w2 = 6232.926, dw = -0.0814, nw = 1651 141029.0022.ec.fits: ap = 39, w1 = 6297.273, w2 = 6164.442, dw = -0.0805, nw = 1651 141029.0022.ec.fits: ap = 40, w1 = 6228.832, w2 = 6097.447, dw = -0.07963, nw = 1651 141029.0022.ec.fits: ap = 41, w1 = 6161.864, w2 = 6031.893, dw = -0.07877, nw = 1651 141029.0022.ec.fits: ap = 42, w1 = 6096.32, w2 = 5967.734, dw = -0.07793, nw = 1651 141029.0022.ec.fits: ap = 43, w1 = 6032.156, w2 = 5904.925, dw = -0.07711, nw = 1651 141029.0022.ec.fits: ap = 44, w1 = 5969.33, w2 = 5843.425, dw = -0.07631, nw = 1651 141029.0022.ec.fits: ap = 45, w1 = 5907.798, w2 = 5783.194, dw = -0.07552, nw = 1651 141029.0022.ec.fits: ap = 46, w1 = 5847.523, w2 = 5724.191, dw = -0.07475, nw = 1651 141029.0022.ec.fits: ap = 47, w1 = 5788.465, w2 = 5666.381, dw = -0.07399, nw = 1651 141029.0022.ec.fits: ap = 48, w1 = 5730.588, w2 = 5609.727, dw = -0.07325, nw = 1651 141029.0022.ec.fits: ap = 49, w1 = 5673.858, w2 = 5554.195, dw = -0.07252, nw = 1651 141029.0022.ec.fits: ap = 50, w1 = 5618.24, w2 = 5499.752, dw = -0.07181, nw = 1651 141029.0022.ec.fits: ap = 51, w1 = 5563.702, w2 = 5446.366, dw = -0.07111, nw = 1651 141029.0022.ec.fits: ap = 52, w1 = 5510.213, w2 = 5394.007, dw = -0.07043, nw = 1651 141029.0022.ec.fits: ap = 53, w1 = 5457.743, w2 = 5342.645, dw = -0.06976, nw = 1651 141029.0022.ec.fits: ap = 54, w1 = 5406.263, w2 = 5292.252, dw = -0.0691, nw = 1651 141029.0022.ec.fits: ap = 55, w1 = 5355.745, w2 = 5242.802, dw = -0.06845, nw = 1651 141029.0022.ec.fits: ap = 56, w1 = 5306.163, w2 = 5194.267, dw = -0.06782, nw = 1651 141029.0022.ec.fits: ap = 57, w1 = 5257.491, w2 = 5146.623, dw = -0.06719, nw = 1651 141029.0022.ec.fits: ap = 58, w1 = 5209.704, w2 = 5099.846, dw = -0.06658, nw = 1651 141029.0022.ec.fits: ap = 59, w1 = 5162.777, w2 = 5053.911, dw = -0.06598, nw = 1651 141029.0022.ec.fits: ap = 60, w1 = 5116.689, w2 = 5008.797, dw = -0.06539, nw = 1651 141029.0022.ec.fits: ap = 61, w1 = 5071.417, w2 = 4964.481, dw = -0.06481, nw = 1651 141029.0022.ec.fits: ap = 62, w1 = 5026.939, w2 = 4920.943, dw = -0.06424, nw = 1651 141029.0022.ec.fits: ap = 63, w1 = 4983.235, w2 = 4878.162, dw = -0.06368, nw = 1651 141029.0022.ec.fits: ap = 64, w1 = 4940.285, w2 = 4836.119, dw = -0.06313, nw = 1651 141029.0022.ec.fits: ap = 65, w1 = 4898.068, w2 = 4794.795, dw = -0.06259, nw = 1651 141029.0022.ec.fits: ap = 66, w1 = 4856.568, w2 = 4754.171, dw = -0.06206, nw = 1651 141029.0022.ec.fits: ap = 67, w1 = 4815.764, w2 = 4714.23, dw = -0.06154, nw = 1651 141029.0022.ec.fits: ap = 68, w1 = 4775.642, w2 = 4674.955, dw = -0.06102, nw = 1651 141029.0022.ec.fits: ap = 69, w1 = 4736.182, w2 = 4636.329, dw = -0.06052, nw = 1651 141029.0022.ec.fits: ap = 70, w1 = 4697.369, w2 = 4598.336, dw = -0.06002, nw = 1651 141029.0022.ec.fits: ap = 71, w1 = 4659.188, w2 = 4560.961, dw = -0.05953, nw = 1651 141029.0022.ec.fits: ap = 72, w1 = 4621.622, w2 = 4524.19, dw = -0.05905, nw = 1651 141029.0022.ec.fits: ap = 73, w1 = 4584.658, w2 = 4488.006, dw = -0.05858, nw = 1651 141029.0022.ec.fits: ap = 74, w1 = 4548.281, w2 = 4452.397, dw = -0.05811, nw = 1651 141029.0022.ec.fits: ap = 75, w1 = 4512.476, w2 = 4417.349, dw = -0.05765, nw = 1651 141029.0022.ec.fits: ap = 76, w1 = 4477.231, w2 = 4382.848, dw = -0.0572, nw = 1651 141029.0022.ec.fits: ap = 77, w1 = 4442.533, w2 = 4348.883, dw = -0.05676, nw = 1651 141029.0022.ec.fits: ap = 78, w1 = 4408.368, w2 = 4315.44, dw = -0.05632, nw = 1651 141029.0022.ec.fits: ap = 79, w1 = 4374.725, w2 = 4282.508, dw = -0.05589, nw = 1651 141029.0022.ec.fits: ap = 80, w1 = 4341.592, w2 = 4250.075, dw = -0.05547, nw = 1651 141029.0022.ec.fits: ap = 81, w1 = 4308.958, w2 = 4218.129, dw = -0.05505, nw = 1651 141029.0022.ec.fits: ap = 82, w1 = 4276.811, w2 = 4186.661, dw = -0.05464, nw = 1651 141029.0022.ec.fits: ap = 83, w1 = 4245.14, w2 = 4155.658, dw = -0.05423, nw = 1651 141029.0022.ec.fits: ap = 84, w1 = 4213.934, w2 = 4125.112, dw = -0.05383, nw = 1651 141029.0022.ec.fits: ap = 85, w1 = 4183.185, w2 = 4095.011, dw = -0.05344, nw = 1651 141029.0022.ec.fits: ap = 86, w1 = 4152.881, w2 = 4065.347, dw = -0.05305, nw = 1651 141029.0022.ec.fits: ap = 87, w1 = 4123.014, w2 = 4036.11, dw = -0.05267, nw = 1651 141029.0022.ec.fits: ap = 88, w1 = 4093.573, w2 = 4007.29, dw = -0.05229, nw = 1651 141029.0022.ec.fits: ap = 89, w1 = 4064.55, w2 = 3978.88, dw = -0.05192, nw = 1651 141029.0022.ec.fits: ap = 90, w1 = 4035.936, w2 = 3950.869, dw = -0.05156, nw = 1651 141029.0022.ec.fits: ap = 91, w1 = 4007.722, w2 = 3923.25, dw = -0.0512, nw = 1651 141029.0022.ec.fits: ap = 92, w1 = 3979.9, w2 = 3896.015, dw = -0.05084, nw = 1651 141029.0022.ec.fits: ap = 93, w1 = 3952.462, w2 = 3869.155, dw = -0.05049, nw = 1651 141029.0022.ec.fits: ap = 94, w1 = 3925.4, w2 = 3842.664, dw = -0.05014, nw = 1651 141029.0022.ec.fits: ap = 95, w1 = 3898.706, w2 = 3816.532, dw = -0.0498, nw = 1651 141029.0022.ec.fits: ap = 96, w1 = 3872.373, w2 = 3790.754, dw = -0.04947, nw = 1651 141029.0022.ec.fits: ap = 97, w1 = 3846.394, w2 = 3765.322, dw = -0.04913, nw = 1651 141029.0022.ec.fits: ap = 98, w1 = 3820.761, w2 = 3740.229, dw = -0.04881, nw = 1651 141029.0022.ec.fits: ap = 99, w1 = 3795.468, w2 = 3715.468, dw = -0.04848, nw = 1651 141029.0022.ec.fits: ap = 100, w1 = 3770.508, w2 = 3691.033, dw = -0.04817, nw = 1651 141029.0022.ec.fits: ap = 101, w1 = 3745.874, w2 = 3666.918, dw = -0.04785, nw = 1651 141029.0022.ec.fits: ap = 102, w1 = 3721.56, w2 = 3643.115, dw = -0.04754, nw = 1651 141029.0022.ec.fits: ap = 103, w1 = 3697.56, w2 = 3619.62, dw = -0.04724, nw = 1651 141029.0022.ec.fits: ap = 104, w1 = 3673.868, w2 = 3596.426, dw = -0.04693, nw = 1651 141029.0022.ec.fits: ap = 105, w1 = 3650.478, w2 = 3573.527, dw = -0.04664, nw = 1651 141029.0022.ec.fits: ap = 106, w1 = 3627.384, w2 = 3550.918, dw = -0.04634, nw = 1651 141029.0022.ec.fits: ap = 107, w1 = 3604.581, w2 = 3528.593, dw = -0.04605, nw = 1651 141029.0022.ec.fits: ap = 108, w1 = 3582.062, w2 = 3506.547, dw = -0.04577, nw = 1651 141029.0022.ec.fits: ap = 109, w1 = 3559.824, w2 = 3484.775, dw = -0.04548, nw = 1651 141029.0022.ec.fits: ap = 110, w1 = 3537.86, w2 = 3463.272, dw = -0.04521, nw = 1651 141029.0022.ec.fits: ap = 111, w1 = 3516.166, w2 = 3442.032, dw = -0.04493, nw = 1651 141029.0022.ec.fits: ap = 112, w1 = 3494.737, w2 = 3421.052, dw = -0.04466, nw = 1651 141029.0022.ec.fits: ap = 113, w1 = 3473.567, w2 = 3400.325, dw = -0.04439, nw = 1651 141029.0022.ec.fits: ap = 114, w1 = 3452.653, w2 = 3379.848, dw = -0.04412, nw = 1651 141029.0022.ec.fits: ap = 115, w1 = 3431.989, w2 = 3359.616, dw = -0.04386, nw = 1651 141029.0023.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 0.15300763' 141029.0023.ec.fits: REFSPEC2 = 'EchelleThAr.0027.ec 0.84699237' 141029.0023.ec.fits: ap = 1, w1 = 10811.78, w2 = 10583.56, dw = -0.13831, nw = 1651 141029.0023.ec.fits: ap = 2, w1 = 10611.58, w2 = 10387.59, dw = -0.13575, nw = 1651 141029.0023.ec.fits: ap = 3, w1 = 10418.65, w2 = 10198.75, dw = -0.13328, nw = 1651 141029.0023.ec.fits: ap = 4, w1 = 10232.62, w2 = 10016.65, dw = -0.13089, nw = 1651 141029.0023.ec.fits: ap = 5, w1 = 10053.11, w2 = 9840.938, dw = -0.12859, nw = 1651 141029.0023.ec.fits: ap = 6, w1 = 9879.796, w2 = 9671.285, dw = -0.12637, nw = 1651 141029.0023.ec.fits: ap = 7, w1 = 9712.354, w2 = 9507.383, dw = -0.12423, nw = 1651 141029.0023.ec.fits: ap = 8, w1 = 9550.494, w2 = 9348.944, dw = -0.12215, nw = 1651 141029.0023.ec.fits: ap = 9, w1 = 9393.94, w2 = 9195.699, dw = -0.12015, nw = 1651 141029.0023.ec.fits: ap = 10, w1 = 9242.437, w2 = 9047.397, dw = -0.11821, nw = 1651 141029.0023.ec.fits: ap = 11, w1 = 9095.743, w2 = 8903.803, dw = -0.11633, nw = 1651 141029.0023.ec.fits: ap = 12, w1 = 8953.633, w2 = 8764.697, dw = -0.11451, nw = 1651 141029.0023.ec.fits: ap = 13, w1 = 8815.896, w2 = 8629.87, dw = -0.11274, nw = 1651 141029.0023.ec.fits: ap = 14, w1 = 8682.333, w2 = 8499.128, dw = -0.11103, nw = 1651 141029.0023.ec.fits: ap = 15, w1 = 8552.756, w2 = 8372.29, dw = -0.10937, nw = 1651 141029.0023.ec.fits: ap = 16, w1 = 8426.991, w2 = 8249.181, dw = -0.10776, nw = 1651 141029.0023.ec.fits: ap = 17, w1 = 8304.871, w2 = 8129.641, dw = -0.1062, nw = 1651 141029.0023.ec.fits: ap = 18, w1 = 8186.24, w2 = 8013.516, dw = -0.10468, nw = 1651 141029.0023.ec.fits: ap = 19, w1 = 8070.951, w2 = 7900.662, dw = -0.10321, nw = 1651 141029.0023.ec.fits: ap = 20, w1 = 7958.864, w2 = 7790.943, dw = -0.10177, nw = 1651 141029.0023.ec.fits: ap = 21, w1 = 7849.848, w2 = 7684.229, dw = -0.10038, nw = 1651 141029.0023.ec.fits: ap = 22, w1 = 7743.779, w2 = 7580.4, dw = -0.09902, nw = 1651 141029.0023.ec.fits: ap = 23, w1 = 7640.538, w2 = 7479.34, dw = -0.0977, nw = 1651 141029.0023.ec.fits: ap = 24, w1 = 7540.014, w2 = 7380.939, dw = -0.09641, nw = 1651 141029.0023.ec.fits: ap = 25, w1 = 7442.101, w2 = 7285.093, dw = -0.09516, nw = 1651 141029.0023.ec.fits: ap = 26, w1 = 7346.699, w2 = 7191.706, dw = -0.09394, nw = 1651 141029.0023.ec.fits: ap = 27, w1 = 7253.711, w2 = 7100.682, dw = -0.09274, nw = 1651 141029.0023.ec.fits: ap = 28, w1 = 7163.049, w2 = 7011.934, dw = -0.09158, nw = 1651 141029.0023.ec.fits: ap = 29, w1 = 7074.625, w2 = 6925.378, dw = -0.09045, nw = 1651 141029.0023.ec.fits: ap = 30, w1 = 6988.358, w2 = 6840.932, dw = -0.08935, nw = 1651 141029.0023.ec.fits: ap = 31, w1 = 6904.17, w2 = 6758.522, dw = -0.08827, nw = 1651 141029.0023.ec.fits: ap = 32, w1 = 6821.986, w2 = 6678.074, dw = -0.08722, nw = 1651 141029.0023.ec.fits: ap = 33, w1 = 6741.736, w2 = 6599.518, dw = -0.08619, nw = 1651 141029.0023.ec.fits: ap = 34, w1 = 6663.352, w2 = 6522.79, dw = -0.08519, nw = 1651 141029.0023.ec.fits: ap = 35, w1 = 6586.77, w2 = 6447.825, dw = -0.08421, nw = 1651 141029.0023.ec.fits: ap = 36, w1 = 6511.929, w2 = 6374.564, dw = -0.08325, nw = 1651 141029.0023.ec.fits: ap = 37, w1 = 6438.77, w2 = 6302.95, dw = -0.08232, nw = 1651 141029.0023.ec.fits: ap = 38, w1 = 6367.236, w2 = 6232.927, dw = -0.0814, nw = 1651 141029.0023.ec.fits: ap = 39, w1 = 6297.275, w2 = 6164.443, dw = -0.0805, nw = 1651 141029.0023.ec.fits: ap = 40, w1 = 6228.835, w2 = 6097.448, dw = -0.07963, nw = 1651 141029.0023.ec.fits: ap = 41, w1 = 6161.866, w2 = 6031.894, dw = -0.07877, nw = 1651 141029.0023.ec.fits: ap = 42, w1 = 6096.323, w2 = 5967.734, dw = -0.07793, nw = 1651 141029.0023.ec.fits: ap = 43, w1 = 6032.159, w2 = 5904.926, dw = -0.07711, nw = 1651 141029.0023.ec.fits: ap = 44, w1 = 5969.332, w2 = 5843.426, dw = -0.07631, nw = 1651 141029.0023.ec.fits: ap = 45, w1 = 5907.801, w2 = 5783.194, dw = -0.07552, nw = 1651 141029.0023.ec.fits: ap = 46, w1 = 5847.526, w2 = 5724.192, dw = -0.07475, nw = 1651 141029.0023.ec.fits: ap = 47, w1 = 5788.468, w2 = 5666.381, dw = -0.07399, nw = 1651 141029.0023.ec.fits: ap = 48, w1 = 5730.591, w2 = 5609.727, dw = -0.07325, nw = 1651 141029.0023.ec.fits: ap = 49, w1 = 5673.861, w2 = 5554.195, dw = -0.07252, nw = 1651 141029.0023.ec.fits: ap = 50, w1 = 5618.243, w2 = 5499.752, dw = -0.07181, nw = 1651 141029.0023.ec.fits: ap = 51, w1 = 5563.705, w2 = 5446.366, dw = -0.07111, nw = 1651 141029.0023.ec.fits: ap = 52, w1 = 5510.216, w2 = 5394.007, dw = -0.07043, nw = 1651 141029.0023.ec.fits: ap = 53, w1 = 5457.746, w2 = 5342.646, dw = -0.06976, nw = 1651 141029.0023.ec.fits: ap = 54, w1 = 5406.266, w2 = 5292.253, dw = -0.0691, nw = 1651 141029.0023.ec.fits: ap = 55, w1 = 5355.748, w2 = 5242.803, dw = -0.06845, nw = 1651 141029.0023.ec.fits: ap = 56, w1 = 5306.166, w2 = 5194.268, dw = -0.06782, nw = 1651 141029.0023.ec.fits: ap = 57, w1 = 5257.494, w2 = 5146.624, dw = -0.06719, nw = 1651 141029.0023.ec.fits: ap = 58, w1 = 5209.706, w2 = 5099.847, dw = -0.06658, nw = 1651 141029.0023.ec.fits: ap = 59, w1 = 5162.78, w2 = 5053.912, dw = -0.06598, nw = 1651 141029.0023.ec.fits: ap = 60, w1 = 5116.692, w2 = 5008.798, dw = -0.06539, nw = 1651 141029.0023.ec.fits: ap = 61, w1 = 5071.42, w2 = 4964.482, dw = -0.06481, nw = 1651 141029.0023.ec.fits: ap = 62, w1 = 5026.942, w2 = 4920.944, dw = -0.06424, nw = 1651 141029.0023.ec.fits: ap = 63, w1 = 4983.238, w2 = 4878.163, dw = -0.06368, nw = 1651 141029.0023.ec.fits: ap = 64, w1 = 4940.287, w2 = 4836.12, dw = -0.06313, nw = 1651 141029.0023.ec.fits: ap = 65, w1 = 4898.071, w2 = 4794.796, dw = -0.06259, nw = 1651 141029.0023.ec.fits: ap = 66, w1 = 4856.57, w2 = 4754.172, dw = -0.06206, nw = 1651 141029.0023.ec.fits: ap = 67, w1 = 4815.767, w2 = 4714.231, dw = -0.06154, nw = 1651 141029.0023.ec.fits: ap = 68, w1 = 4775.644, w2 = 4674.956, dw = -0.06102, nw = 1651 141029.0023.ec.fits: ap = 69, w1 = 4736.184, w2 = 4636.33, dw = -0.06052, nw = 1651 141029.0023.ec.fits: ap = 70, w1 = 4697.372, w2 = 4598.337, dw = -0.06002, nw = 1651 141029.0023.ec.fits: ap = 71, w1 = 4659.19, w2 = 4560.962, dw = -0.05953, nw = 1651 141029.0023.ec.fits: ap = 72, w1 = 4621.624, w2 = 4524.191, dw = -0.05905, nw = 1651 141029.0023.ec.fits: ap = 73, w1 = 4584.66, w2 = 4488.007, dw = -0.05858, nw = 1651 141029.0023.ec.fits: ap = 74, w1 = 4548.282, w2 = 4452.398, dw = -0.05811, nw = 1651 141029.0023.ec.fits: ap = 75, w1 = 4512.478, w2 = 4417.35, dw = -0.05765, nw = 1651 141029.0023.ec.fits: ap = 76, w1 = 4477.233, w2 = 4382.85, dw = -0.0572, nw = 1651 141029.0023.ec.fits: ap = 77, w1 = 4442.534, w2 = 4348.884, dw = -0.05676, nw = 1651 141029.0023.ec.fits: ap = 78, w1 = 4408.37, w2 = 4315.441, dw = -0.05632, nw = 1651 141029.0023.ec.fits: ap = 79, w1 = 4374.727, w2 = 4282.509, dw = -0.05589, nw = 1651 141029.0023.ec.fits: ap = 80, w1 = 4341.594, w2 = 4250.076, dw = -0.05547, nw = 1651 141029.0023.ec.fits: ap = 81, w1 = 4308.959, w2 = 4218.13, dw = -0.05505, nw = 1651 141029.0023.ec.fits: ap = 82, w1 = 4276.812, w2 = 4186.662, dw = -0.05464, nw = 1651 141029.0023.ec.fits: ap = 83, w1 = 4245.141, w2 = 4155.659, dw = -0.05423, nw = 1651 141029.0023.ec.fits: ap = 84, w1 = 4213.936, w2 = 4125.113, dw = -0.05383, nw = 1651 141029.0023.ec.fits: ap = 85, w1 = 4183.186, w2 = 4095.012, dw = -0.05344, nw = 1651 141029.0023.ec.fits: ap = 86, w1 = 4152.882, w2 = 4065.348, dw = -0.05305, nw = 1651 141029.0023.ec.fits: ap = 87, w1 = 4123.015, w2 = 4036.111, dw = -0.05267, nw = 1651 141029.0023.ec.fits: ap = 88, w1 = 4093.574, w2 = 4007.291, dw = -0.05229, nw = 1651 141029.0023.ec.fits: ap = 89, w1 = 4064.551, w2 = 3978.88, dw = -0.05192, nw = 1651 141029.0023.ec.fits: ap = 90, w1 = 4035.936, w2 = 3950.87, dw = -0.05156, nw = 1651 141029.0023.ec.fits: ap = 91, w1 = 4007.723, w2 = 3923.251, dw = -0.0512, nw = 1651 141029.0023.ec.fits: ap = 92, w1 = 3979.901, w2 = 3896.015, dw = -0.05084, nw = 1651 141029.0023.ec.fits: ap = 93, w1 = 3952.463, w2 = 3869.156, dw = -0.05049, nw = 1651 141029.0023.ec.fits: ap = 94, w1 = 3925.401, w2 = 3842.664, dw = -0.05014, nw = 1651 141029.0023.ec.fits: ap = 95, w1 = 3898.707, w2 = 3816.533, dw = -0.0498, nw = 1651 141029.0023.ec.fits: ap = 96, w1 = 3872.374, w2 = 3790.754, dw = -0.04947, nw = 1651 141029.0023.ec.fits: ap = 97, w1 = 3846.395, w2 = 3765.322, dw = -0.04913, nw = 1651 141029.0023.ec.fits: ap = 98, w1 = 3820.762, w2 = 3740.229, dw = -0.04881, nw = 1651 141029.0023.ec.fits: ap = 99, w1 = 3795.469, w2 = 3715.468, dw = -0.04849, nw = 1651 141029.0023.ec.fits: ap = 100, w1 = 3770.508, w2 = 3691.033, dw = -0.04817, nw = 1651 141029.0023.ec.fits: ap = 101, w1 = 3745.875, w2 = 3666.917, dw = -0.04785, nw = 1651 141029.0023.ec.fits: ap = 102, w1 = 3721.561, w2 = 3643.114, dw = -0.04754, nw = 1651 141029.0023.ec.fits: ap = 103, w1 = 3697.561, w2 = 3619.619, dw = -0.04724, nw = 1651 141029.0023.ec.fits: ap = 104, w1 = 3673.869, w2 = 3596.424, dw = -0.04694, nw = 1651 141029.0023.ec.fits: ap = 105, w1 = 3650.479, w2 = 3573.525, dw = -0.04664, nw = 1651 141029.0023.ec.fits: ap = 106, w1 = 3627.385, w2 = 3550.916, dw = -0.04634, nw = 1651 141029.0023.ec.fits: ap = 107, w1 = 3604.581, w2 = 3528.591, dw = -0.04605, nw = 1651 141029.0023.ec.fits: ap = 108, w1 = 3582.063, w2 = 3506.545, dw = -0.04577, nw = 1651 141029.0023.ec.fits: ap = 109, w1 = 3559.825, w2 = 3484.773, dw = -0.04549, nw = 1651 141029.0023.ec.fits: ap = 110, w1 = 3537.861, w2 = 3463.269, dw = -0.04521, nw = 1651 141029.0023.ec.fits: ap = 111, w1 = 3516.167, w2 = 3442.03, dw = -0.04493, nw = 1651 141029.0023.ec.fits: ap = 112, w1 = 3494.738, w2 = 3421.049, dw = -0.04466, nw = 1651 141029.0023.ec.fits: ap = 113, w1 = 3473.569, w2 = 3400.322, dw = -0.04439, nw = 1651 141029.0023.ec.fits: ap = 114, w1 = 3452.654, w2 = 3379.845, dw = -0.04413, nw = 1651 141029.0023.ec.fits: ap = 115, w1 = 3431.991, w2 = 3359.613, dw = -0.04387, nw = 1651 141029.0028.ec.fits: REFSPEC1 = 'EchelleThAr.0027.ec 0.83607209' 141029.0028.ec.fits: REFSPEC2 = 'EchelleThAr.0031.ec 0.16392788' 141029.0028.ec.fits: ap = 1, w1 = 10811.78, w2 = 10583.57, dw = -0.13831, nw = 1651 141029.0028.ec.fits: ap = 2, w1 = 10611.58, w2 = 10387.6, dw = -0.13575, nw = 1651 141029.0028.ec.fits: ap = 3, w1 = 10418.66, w2 = 10198.75, dw = -0.13328, nw = 1651 141029.0028.ec.fits: ap = 4, w1 = 10232.62, w2 = 10016.65, dw = -0.13089, nw = 1651 141029.0028.ec.fits: ap = 5, w1 = 10053.12, w2 = 9840.94, dw = -0.12859, nw = 1651 141029.0028.ec.fits: ap = 6, w1 = 9879.8, w2 = 9671.287, dw = -0.12637, nw = 1651 141029.0028.ec.fits: ap = 7, w1 = 9712.358, w2 = 9507.385, dw = -0.12423, nw = 1651 141029.0028.ec.fits: ap = 8, w1 = 9550.498, w2 = 9348.946, dw = -0.12215, nw = 1651 141029.0028.ec.fits: ap = 9, w1 = 9393.945, w2 = 9195.701, dw = -0.12015, nw = 1651 141029.0028.ec.fits: ap = 10, w1 = 9242.441, w2 = 9047.399, dw = -0.11821, nw = 1651 141029.0028.ec.fits: ap = 11, w1 = 9095.747, w2 = 8903.805, dw = -0.11633, nw = 1651 141029.0028.ec.fits: ap = 12, w1 = 8953.637, w2 = 8764.698, dw = -0.11451, nw = 1651 141029.0028.ec.fits: ap = 13, w1 = 8815.899, w2 = 8629.871, dw = -0.11274, nw = 1651 141029.0028.ec.fits: ap = 14, w1 = 8682.336, w2 = 8499.129, dw = -0.11103, nw = 1651 141029.0028.ec.fits: ap = 15, w1 = 8552.76, w2 = 8372.291, dw = -0.10938, nw = 1651 141029.0028.ec.fits: ap = 16, w1 = 8426.995, w2 = 8249.183, dw = -0.10776, nw = 1651 141029.0028.ec.fits: ap = 17, w1 = 8304.874, w2 = 8129.642, dw = -0.1062, nw = 1651 141029.0028.ec.fits: ap = 18, w1 = 8186.244, w2 = 8013.517, dw = -0.10468, nw = 1651 141029.0028.ec.fits: ap = 19, w1 = 8070.954, w2 = 7900.663, dw = -0.10321, nw = 1651 141029.0028.ec.fits: ap = 20, w1 = 7958.868, w2 = 7790.944, dw = -0.10177, nw = 1651 141029.0028.ec.fits: ap = 21, w1 = 7849.852, w2 = 7684.231, dw = -0.10038, nw = 1651 141029.0028.ec.fits: ap = 22, w1 = 7743.782, w2 = 7580.402, dw = -0.09902, nw = 1651 141029.0028.ec.fits: ap = 23, w1 = 7640.541, w2 = 7479.341, dw = -0.0977, nw = 1651 141029.0028.ec.fits: ap = 24, w1 = 7540.017, w2 = 7380.94, dw = -0.09641, nw = 1651 141029.0028.ec.fits: ap = 25, w1 = 7442.104, w2 = 7285.095, dw = -0.09516, nw = 1651 141029.0028.ec.fits: ap = 26, w1 = 7346.701, w2 = 7191.707, dw = -0.09394, nw = 1651 141029.0028.ec.fits: ap = 27, w1 = 7253.714, w2 = 7100.684, dw = -0.09275, nw = 1651 141029.0028.ec.fits: ap = 28, w1 = 7163.052, w2 = 7011.936, dw = -0.09159, nw = 1651 141029.0028.ec.fits: ap = 29, w1 = 7074.628, w2 = 6925.379, dw = -0.09045, nw = 1651 141029.0028.ec.fits: ap = 30, w1 = 6988.361, w2 = 6840.934, dw = -0.08935, nw = 1651 141029.0028.ec.fits: ap = 31, w1 = 6904.172, w2 = 6758.523, dw = -0.08827, nw = 1651 141029.0028.ec.fits: ap = 32, w1 = 6821.988, w2 = 6678.075, dw = -0.08722, nw = 1651 141029.0028.ec.fits: ap = 33, w1 = 6741.738, w2 = 6599.519, dw = -0.08619, nw = 1651 141029.0028.ec.fits: ap = 34, w1 = 6663.354, w2 = 6522.791, dw = -0.08519, nw = 1651 141029.0028.ec.fits: ap = 35, w1 = 6586.773, w2 = 6447.826, dw = -0.08421, nw = 1651 141029.0028.ec.fits: ap = 36, w1 = 6511.931, w2 = 6374.566, dw = -0.08325, nw = 1651 141029.0028.ec.fits: ap = 37, w1 = 6438.772, w2 = 6302.951, dw = -0.08232, nw = 1651 141029.0028.ec.fits: ap = 38, w1 = 6367.238, w2 = 6232.928, dw = -0.0814, nw = 1651 141029.0028.ec.fits: ap = 39, w1 = 6297.277, w2 = 6164.444, dw = -0.0805, nw = 1651 141029.0028.ec.fits: ap = 40, w1 = 6228.836, w2 = 6097.449, dw = -0.07963, nw = 1651 141029.0028.ec.fits: ap = 41, w1 = 6161.868, w2 = 6031.895, dw = -0.07877, nw = 1651 141029.0028.ec.fits: ap = 42, w1 = 6096.324, w2 = 5967.736, dw = -0.07793, nw = 1651 141029.0028.ec.fits: ap = 43, w1 = 6032.161, w2 = 5904.927, dw = -0.07711, nw = 1651 141029.0028.ec.fits: ap = 44, w1 = 5969.334, w2 = 5843.427, dw = -0.07631, nw = 1651 141029.0028.ec.fits: ap = 45, w1 = 5907.803, w2 = 5783.196, dw = -0.07552, nw = 1651 141029.0028.ec.fits: ap = 46, w1 = 5847.527, w2 = 5724.193, dw = -0.07475, nw = 1651 141029.0028.ec.fits: ap = 47, w1 = 5788.469, w2 = 5666.383, dw = -0.07399, nw = 1651 141029.0028.ec.fits: ap = 48, w1 = 5730.593, w2 = 5609.729, dw = -0.07325, nw = 1651 141029.0028.ec.fits: ap = 49, w1 = 5673.862, w2 = 5554.196, dw = -0.07252, nw = 1651 141029.0028.ec.fits: ap = 50, w1 = 5618.244, w2 = 5499.753, dw = -0.07181, nw = 1651 141029.0028.ec.fits: ap = 51, w1 = 5563.706, w2 = 5446.367, dw = -0.07111, nw = 1651 141029.0028.ec.fits: ap = 52, w1 = 5510.217, w2 = 5394.008, dw = -0.07043, nw = 1651 141029.0028.ec.fits: ap = 53, w1 = 5457.747, w2 = 5342.647, dw = -0.06976, nw = 1651 141029.0028.ec.fits: ap = 54, w1 = 5406.267, w2 = 5292.254, dw = -0.0691, nw = 1651 141029.0028.ec.fits: ap = 55, w1 = 5355.749, w2 = 5242.804, dw = -0.06845, nw = 1651 141029.0028.ec.fits: ap = 56, w1 = 5306.167, w2 = 5194.269, dw = -0.06782, nw = 1651 141029.0028.ec.fits: ap = 57, w1 = 5257.495, w2 = 5146.625, dw = -0.06719, nw = 1651 141029.0028.ec.fits: ap = 58, w1 = 5209.708, w2 = 5099.847, dw = -0.06658, nw = 1651 141029.0028.ec.fits: ap = 59, w1 = 5162.782, w2 = 5053.913, dw = -0.06598, nw = 1651 141029.0028.ec.fits: ap = 60, w1 = 5116.694, w2 = 5008.798, dw = -0.06539, nw = 1651 141029.0028.ec.fits: ap = 61, w1 = 5071.422, w2 = 4964.483, dw = -0.06481, nw = 1651 141029.0028.ec.fits: ap = 62, w1 = 5026.944, w2 = 4920.945, dw = -0.06424, nw = 1651 141029.0028.ec.fits: ap = 63, w1 = 4983.239, w2 = 4878.164, dw = -0.06368, nw = 1651 141029.0028.ec.fits: ap = 64, w1 = 4940.289, w2 = 4836.121, dw = -0.06313, nw = 1651 141029.0028.ec.fits: ap = 65, w1 = 4898.072, w2 = 4794.796, dw = -0.06259, nw = 1651 141029.0028.ec.fits: ap = 66, w1 = 4856.572, w2 = 4754.172, dw = -0.06206, nw = 1651 141029.0028.ec.fits: ap = 67, w1 = 4815.769, w2 = 4714.231, dw = -0.06154, nw = 1651 141029.0028.ec.fits: ap = 68, w1 = 4775.646, w2 = 4674.956, dw = -0.06102, nw = 1651 141029.0028.ec.fits: ap = 69, w1 = 4736.186, w2 = 4636.33, dw = -0.06052, nw = 1651 141029.0028.ec.fits: ap = 70, w1 = 4697.373, w2 = 4598.338, dw = -0.06002, nw = 1651 141029.0028.ec.fits: ap = 71, w1 = 4659.192, w2 = 4560.963, dw = -0.05953, nw = 1651 141029.0028.ec.fits: ap = 72, w1 = 4621.626, w2 = 4524.191, dw = -0.05905, nw = 1651 141029.0028.ec.fits: ap = 73, w1 = 4584.662, w2 = 4488.008, dw = -0.05858, nw = 1651 141029.0028.ec.fits: ap = 74, w1 = 4548.284, w2 = 4452.399, dw = -0.05811, nw = 1651 141029.0028.ec.fits: ap = 75, w1 = 4512.48, w2 = 4417.35, dw = -0.05765, nw = 1651 141029.0028.ec.fits: ap = 76, w1 = 4477.235, w2 = 4382.85, dw = -0.0572, nw = 1651 141029.0028.ec.fits: ap = 77, w1 = 4442.536, w2 = 4348.884, dw = -0.05676, nw = 1651 141029.0028.ec.fits: ap = 78, w1 = 4408.372, w2 = 4315.441, dw = -0.05632, nw = 1651 141029.0028.ec.fits: ap = 79, w1 = 4374.729, w2 = 4282.509, dw = -0.05589, nw = 1651 141029.0028.ec.fits: ap = 80, w1 = 4341.596, w2 = 4250.076, dw = -0.05547, nw = 1651 141029.0028.ec.fits: ap = 81, w1 = 4308.961, w2 = 4218.13, dw = -0.05505, nw = 1651 141029.0028.ec.fits: ap = 82, w1 = 4276.813, w2 = 4186.662, dw = -0.05464, nw = 1651 141029.0028.ec.fits: ap = 83, w1 = 4245.142, w2 = 4155.66, dw = -0.05423, nw = 1651 141029.0028.ec.fits: ap = 84, w1 = 4213.937, w2 = 4125.113, dw = -0.05383, nw = 1651 141029.0028.ec.fits: ap = 85, w1 = 4183.188, w2 = 4095.013, dw = -0.05344, nw = 1651 141029.0028.ec.fits: ap = 86, w1 = 4152.884, w2 = 4065.349, dw = -0.05305, nw = 1651 141029.0028.ec.fits: ap = 87, w1 = 4123.016, w2 = 4036.111, dw = -0.05267, nw = 1651 141029.0028.ec.fits: ap = 88, w1 = 4093.575, w2 = 4007.292, dw = -0.05229, nw = 1651 141029.0028.ec.fits: ap = 89, w1 = 4064.552, w2 = 3978.881, dw = -0.05192, nw = 1651 141029.0028.ec.fits: ap = 90, w1 = 4035.937, w2 = 3950.87, dw = -0.05156, nw = 1651 141029.0028.ec.fits: ap = 91, w1 = 4007.723, w2 = 3923.251, dw = -0.0512, nw = 1651 141029.0028.ec.fits: ap = 92, w1 = 3979.901, w2 = 3896.016, dw = -0.05084, nw = 1651 141029.0028.ec.fits: ap = 93, w1 = 3952.463, w2 = 3869.156, dw = -0.05049, nw = 1651 141029.0028.ec.fits: ap = 94, w1 = 3925.401, w2 = 3842.665, dw = -0.05014, nw = 1651 141029.0028.ec.fits: ap = 95, w1 = 3898.707, w2 = 3816.533, dw = -0.0498, nw = 1651 141029.0028.ec.fits: ap = 96, w1 = 3872.374, w2 = 3790.755, dw = -0.04947, nw = 1651 141029.0028.ec.fits: ap = 97, w1 = 3846.394, w2 = 3765.323, dw = -0.04913, nw = 1651 141029.0028.ec.fits: ap = 98, w1 = 3820.761, w2 = 3740.23, dw = -0.04881, nw = 1651 141029.0028.ec.fits: ap = 99, w1 = 3795.467, w2 = 3715.468, dw = -0.04848, nw = 1651 141029.0028.ec.fits: ap = 100, w1 = 3770.507, w2 = 3691.034, dw = -0.04817, nw = 1651 141029.0028.ec.fits: ap = 101, w1 = 3745.873, w2 = 3666.918, dw = -0.04785, nw = 1651 141029.0028.ec.fits: ap = 102, w1 = 3721.559, w2 = 3643.116, dw = -0.04754, nw = 1651 141029.0028.ec.fits: ap = 103, w1 = 3697.56, w2 = 3619.621, dw = -0.04724, nw = 1651 141029.0028.ec.fits: ap = 104, w1 = 3673.867, w2 = 3596.427, dw = -0.04693, nw = 1651 141029.0028.ec.fits: ap = 105, w1 = 3650.476, w2 = 3573.527, dw = -0.04664, nw = 1651 141029.0028.ec.fits: ap = 106, w1 = 3627.382, w2 = 3550.918, dw = -0.04634, nw = 1651 141029.0028.ec.fits: ap = 107, w1 = 3604.578, w2 = 3528.593, dw = -0.04605, nw = 1651 141029.0028.ec.fits: ap = 108, w1 = 3582.06, w2 = 3506.547, dw = -0.04576, nw = 1651 141029.0028.ec.fits: ap = 109, w1 = 3559.821, w2 = 3484.775, dw = -0.04548, nw = 1651 141029.0028.ec.fits: ap = 110, w1 = 3537.857, w2 = 3463.272, dw = -0.0452, nw = 1651 141029.0028.ec.fits: ap = 111, w1 = 3516.162, w2 = 3442.032, dw = -0.04493, nw = 1651 141029.0028.ec.fits: ap = 112, w1 = 3494.733, w2 = 3421.052, dw = -0.04466, nw = 1651 141029.0028.ec.fits: ap = 113, w1 = 3473.563, w2 = 3400.325, dw = -0.04439, nw = 1651 141029.0028.ec.fits: ap = 114, w1 = 3452.648, w2 = 3379.848, dw = -0.04412, nw = 1651 141029.0028.ec.fits: ap = 115, w1 = 3431.984, w2 = 3359.616, dw = -0.04386, nw = 1651 141029.0029.ec.fits: REFSPEC1 = 'EchelleThAr.0027.ec 0.49739626' 141029.0029.ec.fits: REFSPEC2 = 'EchelleThAr.0031.ec 0.50260371' 141029.0029.ec.fits: ap = 1, w1 = 10811.77, w2 = 10583.57, dw = -0.1383, nw = 1651 141029.0029.ec.fits: ap = 2, w1 = 10611.57, w2 = 10387.6, dw = -0.13574, nw = 1651 141029.0029.ec.fits: ap = 3, w1 = 10418.65, w2 = 10198.76, dw = -0.13327, nw = 1651 141029.0029.ec.fits: ap = 4, w1 = 10232.62, w2 = 10016.66, dw = -0.13088, nw = 1651 141029.0029.ec.fits: ap = 5, w1 = 10053.11, w2 = 9840.944, dw = -0.12859, nw = 1651 141029.0029.ec.fits: ap = 6, w1 = 9879.796, w2 = 9671.291, dw = -0.12637, nw = 1651 141029.0029.ec.fits: ap = 7, w1 = 9712.356, w2 = 9507.388, dw = -0.12422, nw = 1651 141029.0029.ec.fits: ap = 8, w1 = 9550.497, w2 = 9348.949, dw = -0.12215, nw = 1651 141029.0029.ec.fits: ap = 9, w1 = 9393.944, w2 = 9195.704, dw = -0.12015, nw = 1651 141029.0029.ec.fits: ap = 10, w1 = 9242.442, w2 = 9047.402, dw = -0.11821, nw = 1651 141029.0029.ec.fits: ap = 11, w1 = 9095.748, w2 = 8903.808, dw = -0.11633, nw = 1651 141029.0029.ec.fits: ap = 12, w1 = 8953.639, w2 = 8764.7, dw = -0.11451, nw = 1651 141029.0029.ec.fits: ap = 13, w1 = 8815.902, w2 = 8629.873, dw = -0.11274, nw = 1651 141029.0029.ec.fits: ap = 14, w1 = 8682.339, w2 = 8499.131, dw = -0.11103, nw = 1651 141029.0029.ec.fits: ap = 15, w1 = 8552.763, w2 = 8372.293, dw = -0.10938, nw = 1651 141029.0029.ec.fits: ap = 16, w1 = 8426.998, w2 = 8249.184, dw = -0.10777, nw = 1651 141029.0029.ec.fits: ap = 17, w1 = 8304.878, w2 = 8129.644, dw = -0.1062, nw = 1651 141029.0029.ec.fits: ap = 18, w1 = 8186.247, w2 = 8013.519, dw = -0.10468, nw = 1651 141029.0029.ec.fits: ap = 19, w1 = 8070.958, w2 = 7900.665, dw = -0.10321, nw = 1651 141029.0029.ec.fits: ap = 20, w1 = 7958.871, w2 = 7790.946, dw = -0.10177, nw = 1651 141029.0029.ec.fits: ap = 21, w1 = 7849.855, w2 = 7684.232, dw = -0.10038, nw = 1651 141029.0029.ec.fits: ap = 22, w1 = 7743.785, w2 = 7580.403, dw = -0.09902, nw = 1651 141029.0029.ec.fits: ap = 23, w1 = 7640.544, w2 = 7479.343, dw = -0.0977, nw = 1651 141029.0029.ec.fits: ap = 24, w1 = 7540.02, w2 = 7380.942, dw = -0.09641, nw = 1651 141029.0029.ec.fits: ap = 25, w1 = 7442.107, w2 = 7285.096, dw = -0.09516, nw = 1651 141029.0029.ec.fits: ap = 26, w1 = 7346.704, w2 = 7191.709, dw = -0.09394, nw = 1651 141029.0029.ec.fits: ap = 27, w1 = 7253.717, w2 = 7100.685, dw = -0.09275, nw = 1651 141029.0029.ec.fits: ap = 28, w1 = 7163.054, w2 = 7011.937, dw = -0.09159, nw = 1651 141029.0029.ec.fits: ap = 29, w1 = 7074.63, w2 = 6925.381, dw = -0.09045, nw = 1651 141029.0029.ec.fits: ap = 30, w1 = 6988.362, w2 = 6840.935, dw = -0.08935, nw = 1651 141029.0029.ec.fits: ap = 31, w1 = 6904.174, w2 = 6758.525, dw = -0.08827, nw = 1651 141029.0029.ec.fits: ap = 32, w1 = 6821.989, w2 = 6678.077, dw = -0.08722, nw = 1651 141029.0029.ec.fits: ap = 33, w1 = 6741.739, w2 = 6599.521, dw = -0.08619, nw = 1651 141029.0029.ec.fits: ap = 34, w1 = 6663.355, w2 = 6522.793, dw = -0.08519, nw = 1651 141029.0029.ec.fits: ap = 35, w1 = 6586.773, w2 = 6447.828, dw = -0.08421, nw = 1651 141029.0029.ec.fits: ap = 36, w1 = 6511.931, w2 = 6374.567, dw = -0.08325, nw = 1651 141029.0029.ec.fits: ap = 37, w1 = 6438.772, w2 = 6302.953, dw = -0.08231, nw = 1651 141029.0029.ec.fits: ap = 38, w1 = 6367.238, w2 = 6232.93, dw = -0.0814, nw = 1651 141029.0029.ec.fits: ap = 39, w1 = 6297.276, w2 = 6164.446, dw = -0.0805, nw = 1651 141029.0029.ec.fits: ap = 40, w1 = 6228.836, w2 = 6097.451, dw = -0.07963, nw = 1651 141029.0029.ec.fits: ap = 41, w1 = 6161.867, w2 = 6031.897, dw = -0.07877, nw = 1651 141029.0029.ec.fits: ap = 42, w1 = 6096.323, w2 = 5967.737, dw = -0.07793, nw = 1651 141029.0029.ec.fits: ap = 43, w1 = 6032.16, w2 = 5904.929, dw = -0.07711, nw = 1651 141029.0029.ec.fits: ap = 44, w1 = 5969.333, w2 = 5843.429, dw = -0.07631, nw = 1651 141029.0029.ec.fits: ap = 45, w1 = 5907.801, w2 = 5783.197, dw = -0.07552, nw = 1651 141029.0029.ec.fits: ap = 46, w1 = 5847.526, w2 = 5724.194, dw = -0.07475, nw = 1651 141029.0029.ec.fits: ap = 47, w1 = 5788.468, w2 = 5666.384, dw = -0.07399, nw = 1651 141029.0029.ec.fits: ap = 48, w1 = 5730.591, w2 = 5609.73, dw = -0.07325, nw = 1651 141029.0029.ec.fits: ap = 49, w1 = 5673.861, w2 = 5554.198, dw = -0.07252, nw = 1651 141029.0029.ec.fits: ap = 50, w1 = 5618.243, w2 = 5499.754, dw = -0.07181, nw = 1651 141029.0029.ec.fits: ap = 51, w1 = 5563.705, w2 = 5446.368, dw = -0.07111, nw = 1651 141029.0029.ec.fits: ap = 52, w1 = 5510.216, w2 = 5394.009, dw = -0.07043, nw = 1651 141029.0029.ec.fits: ap = 53, w1 = 5457.745, w2 = 5342.647, dw = -0.06976, nw = 1651 141029.0029.ec.fits: ap = 54, w1 = 5406.265, w2 = 5292.255, dw = -0.0691, nw = 1651 141029.0029.ec.fits: ap = 55, w1 = 5355.748, w2 = 5242.804, dw = -0.06845, nw = 1651 141029.0029.ec.fits: ap = 56, w1 = 5306.166, w2 = 5194.27, dw = -0.06782, nw = 1651 141029.0029.ec.fits: ap = 57, w1 = 5257.494, w2 = 5146.625, dw = -0.06719, nw = 1651 141029.0029.ec.fits: ap = 58, w1 = 5209.706, w2 = 5099.848, dw = -0.06658, nw = 1651 141029.0029.ec.fits: ap = 59, w1 = 5162.78, w2 = 5053.913, dw = -0.06598, nw = 1651 141029.0029.ec.fits: ap = 60, w1 = 5116.692, w2 = 5008.799, dw = -0.06539, nw = 1651 141029.0029.ec.fits: ap = 61, w1 = 5071.42, w2 = 4964.483, dw = -0.06481, nw = 1651 141029.0029.ec.fits: ap = 62, w1 = 5026.943, w2 = 4920.945, dw = -0.06424, nw = 1651 141029.0029.ec.fits: ap = 63, w1 = 4983.238, w2 = 4878.164, dw = -0.06368, nw = 1651 141029.0029.ec.fits: ap = 64, w1 = 4940.288, w2 = 4836.12, dw = -0.06313, nw = 1651 141029.0029.ec.fits: ap = 65, w1 = 4898.072, w2 = 4794.796, dw = -0.06259, nw = 1651 141029.0029.ec.fits: ap = 66, w1 = 4856.571, w2 = 4754.172, dw = -0.06206, nw = 1651 141029.0029.ec.fits: ap = 67, w1 = 4815.768, w2 = 4714.231, dw = -0.06154, nw = 1651 141029.0029.ec.fits: ap = 68, w1 = 4775.645, w2 = 4674.956, dw = -0.06102, nw = 1651 141029.0029.ec.fits: ap = 69, w1 = 4736.186, w2 = 4636.33, dw = -0.06052, nw = 1651 141029.0029.ec.fits: ap = 70, w1 = 4697.373, w2 = 4598.337, dw = -0.06002, nw = 1651 141029.0029.ec.fits: ap = 71, w1 = 4659.192, w2 = 4560.962, dw = -0.05953, nw = 1651 141029.0029.ec.fits: ap = 72, w1 = 4621.627, w2 = 4524.19, dw = -0.05905, nw = 1651 141029.0029.ec.fits: ap = 73, w1 = 4584.662, w2 = 4488.007, dw = -0.05858, nw = 1651 141029.0029.ec.fits: ap = 74, w1 = 4548.285, w2 = 4452.398, dw = -0.05811, nw = 1651 141029.0029.ec.fits: ap = 75, w1 = 4512.48, w2 = 4417.349, dw = -0.05766, nw = 1651 141029.0029.ec.fits: ap = 76, w1 = 4477.235, w2 = 4382.849, dw = -0.0572, nw = 1651 141029.0029.ec.fits: ap = 77, w1 = 4442.537, w2 = 4348.883, dw = -0.05676, nw = 1651 141029.0029.ec.fits: ap = 78, w1 = 4408.373, w2 = 4315.44, dw = -0.05632, nw = 1651 141029.0029.ec.fits: ap = 79, w1 = 4374.73, w2 = 4282.508, dw = -0.05589, nw = 1651 141029.0029.ec.fits: ap = 80, w1 = 4341.597, w2 = 4250.075, dw = -0.05547, nw = 1651 141029.0029.ec.fits: ap = 81, w1 = 4308.962, w2 = 4218.13, dw = -0.05505, nw = 1651 141029.0029.ec.fits: ap = 82, w1 = 4276.815, w2 = 4186.661, dw = -0.05464, nw = 1651 141029.0029.ec.fits: ap = 83, w1 = 4245.144, w2 = 4155.659, dw = -0.05423, nw = 1651 141029.0029.ec.fits: ap = 84, w1 = 4213.938, w2 = 4125.112, dw = -0.05383, nw = 1651 141029.0029.ec.fits: ap = 85, w1 = 4183.189, w2 = 4095.012, dw = -0.05344, nw = 1651 141029.0029.ec.fits: ap = 86, w1 = 4152.885, w2 = 4065.348, dw = -0.05305, nw = 1651 141029.0029.ec.fits: ap = 87, w1 = 4123.017, w2 = 4036.111, dw = -0.05267, nw = 1651 141029.0029.ec.fits: ap = 88, w1 = 4093.576, w2 = 4007.291, dw = -0.05229, nw = 1651 141029.0029.ec.fits: ap = 89, w1 = 4064.553, w2 = 3978.881, dw = -0.05192, nw = 1651 141029.0029.ec.fits: ap = 90, w1 = 4035.938, w2 = 3950.87, dw = -0.05156, nw = 1651 141029.0029.ec.fits: ap = 91, w1 = 4007.724, w2 = 3923.251, dw = -0.0512, nw = 1651 141029.0029.ec.fits: ap = 92, w1 = 3979.902, w2 = 3896.016, dw = -0.05084, nw = 1651 141029.0029.ec.fits: ap = 93, w1 = 3952.463, w2 = 3869.157, dw = -0.05049, nw = 1651 141029.0029.ec.fits: ap = 94, w1 = 3925.401, w2 = 3842.666, dw = -0.05014, nw = 1651 141029.0029.ec.fits: ap = 95, w1 = 3898.707, w2 = 3816.535, dw = -0.0498, nw = 1651 141029.0029.ec.fits: ap = 96, w1 = 3872.373, w2 = 3790.757, dw = -0.04946, nw = 1651 141029.0029.ec.fits: ap = 97, w1 = 3846.393, w2 = 3765.325, dw = -0.04913, nw = 1651 141029.0029.ec.fits: ap = 98, w1 = 3820.76, w2 = 3740.232, dw = -0.0488, nw = 1651 141029.0029.ec.fits: ap = 99, w1 = 3795.465, w2 = 3715.471, dw = -0.04848, nw = 1651 141029.0029.ec.fits: ap = 100, w1 = 3770.505, w2 = 3691.037, dw = -0.04816, nw = 1651 141029.0029.ec.fits: ap = 101, w1 = 3745.87, w2 = 3666.922, dw = -0.04785, nw = 1651 141029.0029.ec.fits: ap = 102, w1 = 3721.556, w2 = 3643.12, dw = -0.04754, nw = 1651 141029.0029.ec.fits: ap = 103, w1 = 3697.555, w2 = 3619.625, dw = -0.04723, nw = 1651 141029.0029.ec.fits: ap = 104, w1 = 3673.862, w2 = 3596.432, dw = -0.04693, nw = 1651 141029.0029.ec.fits: ap = 105, w1 = 3650.47, w2 = 3573.533, dw = -0.04663, nw = 1651 141029.0029.ec.fits: ap = 106, w1 = 3627.375, w2 = 3550.924, dw = -0.04633, nw = 1651 141029.0029.ec.fits: ap = 107, w1 = 3604.57, w2 = 3528.6, dw = -0.04604, nw = 1651 141029.0029.ec.fits: ap = 108, w1 = 3582.051, w2 = 3506.555, dw = -0.04575, nw = 1651 141029.0029.ec.fits: ap = 109, w1 = 3559.811, w2 = 3484.784, dw = -0.04547, nw = 1651 141029.0029.ec.fits: ap = 110, w1 = 3537.846, w2 = 3463.281, dw = -0.04519, nw = 1651 141029.0029.ec.fits: ap = 111, w1 = 3516.15, w2 = 3442.042, dw = -0.04491, nw = 1651 141029.0029.ec.fits: ap = 112, w1 = 3494.719, w2 = 3421.062, dw = -0.04464, nw = 1651 141029.0029.ec.fits: ap = 113, w1 = 3473.548, w2 = 3400.337, dw = -0.04437, nw = 1651 141029.0029.ec.fits: ap = 114, w1 = 3452.632, w2 = 3379.861, dw = -0.0441, nw = 1651 141029.0029.ec.fits: ap = 115, w1 = 3431.966, w2 = 3359.63, dw = -0.04384, nw = 1651 141029.0030.ec.fits: REFSPEC1 = 'EchelleThAr.0027.ec 0.16461419' 141029.0030.ec.fits: REFSPEC2 = 'EchelleThAr.0031.ec 0.8353858' 141029.0030.ec.fits: ap = 1, w1 = 10811.76, w2 = 10583.58, dw = -0.13829, nw = 1651 141029.0030.ec.fits: ap = 2, w1 = 10611.56, w2 = 10387.61, dw = -0.13573, nw = 1651 141029.0030.ec.fits: ap = 3, w1 = 10418.64, w2 = 10198.76, dw = -0.13326, nw = 1651 141029.0030.ec.fits: ap = 4, w1 = 10232.61, w2 = 10016.66, dw = -0.13088, nw = 1651 141029.0030.ec.fits: ap = 5, w1 = 10053.11, w2 = 9840.949, dw = -0.12858, nw = 1651 141029.0030.ec.fits: ap = 6, w1 = 9879.793, w2 = 9671.295, dw = -0.12636, nw = 1651 141029.0030.ec.fits: ap = 7, w1 = 9712.354, w2 = 9507.392, dw = -0.12422, nw = 1651 141029.0030.ec.fits: ap = 8, w1 = 9550.496, w2 = 9348.952, dw = -0.12215, nw = 1651 141029.0030.ec.fits: ap = 9, w1 = 9393.944, w2 = 9195.707, dw = -0.12014, nw = 1651 141029.0030.ec.fits: ap = 10, w1 = 9242.442, w2 = 9047.404, dw = -0.1182, nw = 1651 141029.0030.ec.fits: ap = 11, w1 = 9095.75, w2 = 8903.81, dw = -0.11633, nw = 1651 141029.0030.ec.fits: ap = 12, w1 = 8953.641, w2 = 8764.703, dw = -0.11451, nw = 1651 141029.0030.ec.fits: ap = 13, w1 = 8815.905, w2 = 8629.875, dw = -0.11275, nw = 1651 141029.0030.ec.fits: ap = 14, w1 = 8682.342, w2 = 8499.134, dw = -0.11104, nw = 1651 141029.0030.ec.fits: ap = 15, w1 = 8552.766, w2 = 8372.295, dw = -0.10938, nw = 1651 141029.0030.ec.fits: ap = 16, w1 = 8427.001, w2 = 8249.186, dw = -0.10777, nw = 1651 141029.0030.ec.fits: ap = 17, w1 = 8304.881, w2 = 8129.646, dw = -0.1062, nw = 1651 141029.0030.ec.fits: ap = 18, w1 = 8186.251, w2 = 8013.52, dw = -0.10468, nw = 1651 141029.0030.ec.fits: ap = 19, w1 = 8070.961, w2 = 7900.666, dw = -0.10321, nw = 1651 141029.0030.ec.fits: ap = 20, w1 = 7958.875, w2 = 7790.947, dw = -0.10177, nw = 1651 141029.0030.ec.fits: ap = 21, w1 = 7849.859, w2 = 7684.234, dw = -0.10038, nw = 1651 141029.0030.ec.fits: ap = 22, w1 = 7743.789, w2 = 7580.405, dw = -0.09902, nw = 1651 141029.0030.ec.fits: ap = 23, w1 = 7640.547, w2 = 7479.344, dw = -0.0977, nw = 1651 141029.0030.ec.fits: ap = 24, w1 = 7540.023, w2 = 7380.943, dw = -0.09641, nw = 1651 141029.0030.ec.fits: ap = 25, w1 = 7442.11, w2 = 7285.098, dw = -0.09516, nw = 1651 141029.0030.ec.fits: ap = 26, w1 = 7346.707, w2 = 7191.71, dw = -0.09394, nw = 1651 141029.0030.ec.fits: ap = 27, w1 = 7253.719, w2 = 7100.687, dw = -0.09275, nw = 1651 141029.0030.ec.fits: ap = 28, w1 = 7163.056, w2 = 7011.939, dw = -0.09159, nw = 1651 141029.0030.ec.fits: ap = 29, w1 = 7074.632, w2 = 6925.382, dw = -0.09045, nw = 1651 141029.0030.ec.fits: ap = 30, w1 = 6988.364, w2 = 6840.937, dw = -0.08935, nw = 1651 141029.0030.ec.fits: ap = 31, w1 = 6904.175, w2 = 6758.526, dw = -0.08827, nw = 1651 141029.0030.ec.fits: ap = 32, w1 = 6821.991, w2 = 6678.078, dw = -0.08722, nw = 1651 141029.0030.ec.fits: ap = 33, w1 = 6741.74, w2 = 6599.523, dw = -0.08619, nw = 1651 141029.0030.ec.fits: ap = 34, w1 = 6663.356, w2 = 6522.794, dw = -0.08519, nw = 1651 141029.0030.ec.fits: ap = 35, w1 = 6586.773, w2 = 6447.83, dw = -0.08421, nw = 1651 141029.0030.ec.fits: ap = 36, w1 = 6511.932, w2 = 6374.569, dw = -0.08325, nw = 1651 141029.0030.ec.fits: ap = 37, w1 = 6438.772, w2 = 6302.954, dw = -0.08231, nw = 1651 141029.0030.ec.fits: ap = 38, w1 = 6367.238, w2 = 6232.931, dw = -0.0814, nw = 1651 141029.0030.ec.fits: ap = 39, w1 = 6297.276, w2 = 6164.448, dw = -0.0805, nw = 1651 141029.0030.ec.fits: ap = 40, w1 = 6228.835, w2 = 6097.452, dw = -0.07963, nw = 1651 141029.0030.ec.fits: ap = 41, w1 = 6161.866, w2 = 6031.898, dw = -0.07877, nw = 1651 141029.0030.ec.fits: ap = 42, w1 = 6096.322, w2 = 5967.739, dw = -0.07793, nw = 1651 141029.0030.ec.fits: ap = 43, w1 = 6032.159, w2 = 5904.93, dw = -0.07711, nw = 1651 141029.0030.ec.fits: ap = 44, w1 = 5969.331, w2 = 5843.43, dw = -0.0763, nw = 1651 141029.0030.ec.fits: ap = 45, w1 = 5907.8, w2 = 5783.198, dw = -0.07552, nw = 1651 141029.0030.ec.fits: ap = 46, w1 = 5847.524, w2 = 5724.196, dw = -0.07474, nw = 1651 141029.0030.ec.fits: ap = 47, w1 = 5788.466, w2 = 5666.385, dw = -0.07399, nw = 1651 141029.0030.ec.fits: ap = 48, w1 = 5730.589, w2 = 5609.731, dw = -0.07325, nw = 1651 141029.0030.ec.fits: ap = 49, w1 = 5673.859, w2 = 5554.199, dw = -0.07252, nw = 1651 141029.0030.ec.fits: ap = 50, w1 = 5618.241, w2 = 5499.755, dw = -0.07181, nw = 1651 141029.0030.ec.fits: ap = 51, w1 = 5563.703, w2 = 5446.369, dw = -0.07111, nw = 1651 141029.0030.ec.fits: ap = 52, w1 = 5510.214, w2 = 5394.01, dw = -0.07043, nw = 1651 141029.0030.ec.fits: ap = 53, w1 = 5457.744, w2 = 5342.648, dw = -0.06975, nw = 1651 141029.0030.ec.fits: ap = 54, w1 = 5406.264, w2 = 5292.256, dw = -0.0691, nw = 1651 141029.0030.ec.fits: ap = 55, w1 = 5355.746, w2 = 5242.805, dw = -0.06845, nw = 1651 141029.0030.ec.fits: ap = 56, w1 = 5306.164, w2 = 5194.27, dw = -0.06781, nw = 1651 141029.0030.ec.fits: ap = 57, w1 = 5257.492, w2 = 5146.626, dw = -0.06719, nw = 1651 141029.0030.ec.fits: ap = 58, w1 = 5209.705, w2 = 5099.848, dw = -0.06658, nw = 1651 141029.0030.ec.fits: ap = 59, w1 = 5162.779, w2 = 5053.913, dw = -0.06598, nw = 1651 141029.0030.ec.fits: ap = 60, w1 = 5116.691, w2 = 5008.799, dw = -0.06539, nw = 1651 141029.0030.ec.fits: ap = 61, w1 = 5071.419, w2 = 4964.483, dw = -0.06481, nw = 1651 141029.0030.ec.fits: ap = 62, w1 = 5026.942, w2 = 4920.945, dw = -0.06424, nw = 1651 141029.0030.ec.fits: ap = 63, w1 = 4983.238, w2 = 4878.164, dw = -0.06368, nw = 1651 141029.0030.ec.fits: ap = 64, w1 = 4940.287, w2 = 4836.12, dw = -0.06313, nw = 1651 141029.0030.ec.fits: ap = 65, w1 = 4898.071, w2 = 4794.796, dw = -0.06259, nw = 1651 141029.0030.ec.fits: ap = 66, w1 = 4856.571, w2 = 4754.172, dw = -0.06206, nw = 1651 141029.0030.ec.fits: ap = 67, w1 = 4815.768, w2 = 4714.231, dw = -0.06154, nw = 1651 141029.0030.ec.fits: ap = 68, w1 = 4775.645, w2 = 4674.955, dw = -0.06102, nw = 1651 141029.0030.ec.fits: ap = 69, w1 = 4736.186, w2 = 4636.329, dw = -0.06052, nw = 1651 141029.0030.ec.fits: ap = 70, w1 = 4697.373, w2 = 4598.336, dw = -0.06002, nw = 1651 141029.0030.ec.fits: ap = 71, w1 = 4659.192, w2 = 4560.961, dw = -0.05953, nw = 1651 141029.0030.ec.fits: ap = 72, w1 = 4621.627, w2 = 4524.189, dw = -0.05905, nw = 1651 141029.0030.ec.fits: ap = 73, w1 = 4584.663, w2 = 4488.006, dw = -0.05858, nw = 1651 141029.0030.ec.fits: ap = 74, w1 = 4548.285, w2 = 4452.397, dw = -0.05811, nw = 1651 141029.0030.ec.fits: ap = 75, w1 = 4512.481, w2 = 4417.348, dw = -0.05766, nw = 1651 141029.0030.ec.fits: ap = 76, w1 = 4477.236, w2 = 4382.848, dw = -0.05721, nw = 1651 141029.0030.ec.fits: ap = 77, w1 = 4442.538, w2 = 4348.882, dw = -0.05676, nw = 1651 141029.0030.ec.fits: ap = 78, w1 = 4408.374, w2 = 4315.439, dw = -0.05632, nw = 1651 141029.0030.ec.fits: ap = 79, w1 = 4374.731, w2 = 4282.507, dw = -0.05589, nw = 1651 141029.0030.ec.fits: ap = 80, w1 = 4341.598, w2 = 4250.074, dw = -0.05547, nw = 1651 141029.0030.ec.fits: ap = 81, w1 = 4308.964, w2 = 4218.129, dw = -0.05505, nw = 1651 141029.0030.ec.fits: ap = 82, w1 = 4276.816, w2 = 4186.66, dw = -0.05464, nw = 1651 141029.0030.ec.fits: ap = 83, w1 = 4245.145, w2 = 4155.658, dw = -0.05423, nw = 1651 141029.0030.ec.fits: ap = 84, w1 = 4213.94, w2 = 4125.112, dw = -0.05384, nw = 1651 141029.0030.ec.fits: ap = 85, w1 = 4183.19, w2 = 4095.011, dw = -0.05344, nw = 1651 141029.0030.ec.fits: ap = 86, w1 = 4152.886, w2 = 4065.347, dw = -0.05305, nw = 1651 141029.0030.ec.fits: ap = 87, w1 = 4123.018, w2 = 4036.11, dw = -0.05267, nw = 1651 141029.0030.ec.fits: ap = 88, w1 = 4093.577, w2 = 4007.291, dw = -0.05229, nw = 1651 141029.0030.ec.fits: ap = 89, w1 = 4064.554, w2 = 3978.88, dw = -0.05192, nw = 1651 141029.0030.ec.fits: ap = 90, w1 = 4035.939, w2 = 3950.87, dw = -0.05156, nw = 1651 141029.0030.ec.fits: ap = 91, w1 = 4007.725, w2 = 3923.252, dw = -0.0512, nw = 1651 141029.0030.ec.fits: ap = 92, w1 = 3979.902, w2 = 3896.017, dw = -0.05084, nw = 1651 141029.0030.ec.fits: ap = 93, w1 = 3952.464, w2 = 3869.158, dw = -0.05049, nw = 1651 141029.0030.ec.fits: ap = 94, w1 = 3925.401, w2 = 3842.666, dw = -0.05014, nw = 1651 141029.0030.ec.fits: ap = 95, w1 = 3898.706, w2 = 3816.536, dw = -0.0498, nw = 1651 141029.0030.ec.fits: ap = 96, w1 = 3872.372, w2 = 3790.758, dw = -0.04946, nw = 1651 141029.0030.ec.fits: ap = 97, w1 = 3846.392, w2 = 3765.327, dw = -0.04913, nw = 1651 141029.0030.ec.fits: ap = 98, w1 = 3820.758, w2 = 3740.234, dw = -0.0488, nw = 1651 141029.0030.ec.fits: ap = 99, w1 = 3795.464, w2 = 3715.474, dw = -0.04848, nw = 1651 141029.0030.ec.fits: ap = 100, w1 = 3770.502, w2 = 3691.04, dw = -0.04816, nw = 1651 141029.0030.ec.fits: ap = 101, w1 = 3745.867, w2 = 3666.925, dw = -0.04784, nw = 1651 141029.0030.ec.fits: ap = 102, w1 = 3721.552, w2 = 3643.124, dw = -0.04753, nw = 1651 141029.0030.ec.fits: ap = 103, w1 = 3697.55, w2 = 3619.63, dw = -0.04722, nw = 1651 141029.0030.ec.fits: ap = 104, w1 = 3673.856, w2 = 3596.436, dw = -0.04692, nw = 1651 141029.0030.ec.fits: ap = 105, w1 = 3650.464, w2 = 3573.539, dw = -0.04662, nw = 1651 141029.0030.ec.fits: ap = 106, w1 = 3627.368, w2 = 3550.931, dw = -0.04633, nw = 1651 141029.0030.ec.fits: ap = 107, w1 = 3604.562, w2 = 3528.607, dw = -0.04603, nw = 1651 141029.0030.ec.fits: ap = 108, w1 = 3582.042, w2 = 3506.563, dw = -0.04574, nw = 1651 141029.0030.ec.fits: ap = 109, w1 = 3559.801, w2 = 3484.792, dw = -0.04546, nw = 1651 141029.0030.ec.fits: ap = 110, w1 = 3537.835, w2 = 3463.29, dw = -0.04518, nw = 1651 141029.0030.ec.fits: ap = 111, w1 = 3516.138, w2 = 3442.052, dw = -0.0449, nw = 1651 141029.0030.ec.fits: ap = 112, w1 = 3494.706, w2 = 3421.073, dw = -0.04463, nw = 1651 141029.0030.ec.fits: ap = 113, w1 = 3473.533, w2 = 3400.348, dw = -0.04435, nw = 1651 141029.0030.ec.fits: ap = 114, w1 = 3452.615, w2 = 3379.873, dw = -0.04409, nw = 1651 141029.0030.ec.fits: ap = 115, w1 = 3431.948, w2 = 3359.643, dw = -0.04382, nw = 1651 141029.0032.ec.fits: REFSPEC1 = 'EchelleThAr.0031.ec 0.77807987' 141029.0032.ec.fits: REFSPEC2 = 'EchelleThAr.0035.ec 0.22192012' 141029.0032.ec.fits: ap = 1, w1 = 10811.74, w2 = 10583.57, dw = -0.13829, nw = 1651 141029.0032.ec.fits: ap = 2, w1 = 10611.55, w2 = 10387.6, dw = -0.13572, nw = 1651 141029.0032.ec.fits: ap = 3, w1 = 10418.63, w2 = 10198.75, dw = -0.13326, nw = 1651 141029.0032.ec.fits: ap = 4, w1 = 10232.6, w2 = 10016.65, dw = -0.13088, nw = 1651 141029.0032.ec.fits: ap = 5, w1 = 10053.09, w2 = 9840.938, dw = -0.12858, nw = 1651 141029.0032.ec.fits: ap = 6, w1 = 9879.781, w2 = 9671.284, dw = -0.12636, nw = 1651 141029.0032.ec.fits: ap = 7, w1 = 9712.342, w2 = 9507.38, dw = -0.12422, nw = 1651 141029.0032.ec.fits: ap = 8, w1 = 9550.484, w2 = 9348.94, dw = -0.12215, nw = 1651 141029.0032.ec.fits: ap = 9, w1 = 9393.933, w2 = 9195.694, dw = -0.12014, nw = 1651 141029.0032.ec.fits: ap = 10, w1 = 9242.432, w2 = 9047.392, dw = -0.11821, nw = 1651 141029.0032.ec.fits: ap = 11, w1 = 9095.74, w2 = 8903.797, dw = -0.11633, nw = 1651 141029.0032.ec.fits: ap = 12, w1 = 8953.632, w2 = 8764.69, dw = -0.11451, nw = 1651 141029.0032.ec.fits: ap = 13, w1 = 8815.896, w2 = 8629.863, dw = -0.11275, nw = 1651 141029.0032.ec.fits: ap = 14, w1 = 8682.333, w2 = 8499.121, dw = -0.11104, nw = 1651 141029.0032.ec.fits: ap = 15, w1 = 8552.757, w2 = 8372.282, dw = -0.10938, nw = 1651 141029.0032.ec.fits: ap = 16, w1 = 8426.992, w2 = 8249.173, dw = -0.10777, nw = 1651 141029.0032.ec.fits: ap = 17, w1 = 8304.873, w2 = 8129.633, dw = -0.10621, nw = 1651 141029.0032.ec.fits: ap = 18, w1 = 8186.243, w2 = 8013.508, dw = -0.10469, nw = 1651 141029.0032.ec.fits: ap = 19, w1 = 8070.954, w2 = 7900.655, dw = -0.10321, nw = 1651 141029.0032.ec.fits: ap = 20, w1 = 7958.867, w2 = 7790.935, dw = -0.10178, nw = 1651 141029.0032.ec.fits: ap = 21, w1 = 7849.851, w2 = 7684.222, dw = -0.10038, nw = 1651 141029.0032.ec.fits: ap = 22, w1 = 7743.782, w2 = 7580.393, dw = -0.09902, nw = 1651 141029.0032.ec.fits: ap = 23, w1 = 7640.54, w2 = 7479.333, dw = -0.0977, nw = 1651 141029.0032.ec.fits: ap = 24, w1 = 7540.016, w2 = 7380.932, dw = -0.09641, nw = 1651 141029.0032.ec.fits: ap = 25, w1 = 7442.103, w2 = 7285.087, dw = -0.09516, nw = 1651 141029.0032.ec.fits: ap = 26, w1 = 7346.7, w2 = 7191.7, dw = -0.09394, nw = 1651 141029.0032.ec.fits: ap = 27, w1 = 7253.712, w2 = 7100.677, dw = -0.09275, nw = 1651 141029.0032.ec.fits: ap = 28, w1 = 7163.05, w2 = 7011.929, dw = -0.09159, nw = 1651 141029.0032.ec.fits: ap = 29, w1 = 7074.625, w2 = 6925.373, dw = -0.09046, nw = 1651 141029.0032.ec.fits: ap = 30, w1 = 6988.358, w2 = 6840.928, dw = -0.08935, nw = 1651 141029.0032.ec.fits: ap = 31, w1 = 6904.169, w2 = 6758.518, dw = -0.08827, nw = 1651 141029.0032.ec.fits: ap = 32, w1 = 6821.985, w2 = 6678.069, dw = -0.08722, nw = 1651 141029.0032.ec.fits: ap = 33, w1 = 6741.734, w2 = 6599.514, dw = -0.08619, nw = 1651 141029.0032.ec.fits: ap = 34, w1 = 6663.35, w2 = 6522.786, dw = -0.08519, nw = 1651 141029.0032.ec.fits: ap = 35, w1 = 6586.767, w2 = 6447.822, dw = -0.08421, nw = 1651 141029.0032.ec.fits: ap = 36, w1 = 6511.926, w2 = 6374.561, dw = -0.08325, nw = 1651 141029.0032.ec.fits: ap = 37, w1 = 6438.765, w2 = 6302.946, dw = -0.08231, nw = 1651 141029.0032.ec.fits: ap = 38, w1 = 6367.231, w2 = 6232.923, dw = -0.0814, nw = 1651 141029.0032.ec.fits: ap = 39, w1 = 6297.27, w2 = 6164.439, dw = -0.0805, nw = 1651 141029.0032.ec.fits: ap = 40, w1 = 6228.829, w2 = 6097.445, dw = -0.07963, nw = 1651 141029.0032.ec.fits: ap = 41, w1 = 6161.86, w2 = 6031.89, dw = -0.07877, nw = 1651 141029.0032.ec.fits: ap = 42, w1 = 6096.316, w2 = 5967.731, dw = -0.07793, nw = 1651 141029.0032.ec.fits: ap = 43, w1 = 6032.152, w2 = 5904.923, dw = -0.07711, nw = 1651 141029.0032.ec.fits: ap = 44, w1 = 5969.325, w2 = 5843.423, dw = -0.0763, nw = 1651 141029.0032.ec.fits: ap = 45, w1 = 5907.794, w2 = 5783.191, dw = -0.07552, nw = 1651 141029.0032.ec.fits: ap = 46, w1 = 5847.518, w2 = 5724.189, dw = -0.07475, nw = 1651 141029.0032.ec.fits: ap = 47, w1 = 5788.46, w2 = 5666.378, dw = -0.07399, nw = 1651 141029.0032.ec.fits: ap = 48, w1 = 5730.583, w2 = 5609.724, dw = -0.07325, nw = 1651 141029.0032.ec.fits: ap = 49, w1 = 5673.853, w2 = 5554.192, dw = -0.07252, nw = 1651 141029.0032.ec.fits: ap = 50, w1 = 5618.235, w2 = 5499.748, dw = -0.07181, nw = 1651 141029.0032.ec.fits: ap = 51, w1 = 5563.697, w2 = 5446.362, dw = -0.07111, nw = 1651 141029.0032.ec.fits: ap = 52, w1 = 5510.208, w2 = 5394.003, dw = -0.07043, nw = 1651 141029.0032.ec.fits: ap = 53, w1 = 5457.737, w2 = 5342.641, dw = -0.06976, nw = 1651 141029.0032.ec.fits: ap = 54, w1 = 5406.257, w2 = 5292.248, dw = -0.0691, nw = 1651 141029.0032.ec.fits: ap = 55, w1 = 5355.74, w2 = 5242.798, dw = -0.06845, nw = 1651 141029.0032.ec.fits: ap = 56, w1 = 5306.158, w2 = 5194.263, dw = -0.06782, nw = 1651 141029.0032.ec.fits: ap = 57, w1 = 5257.485, w2 = 5146.618, dw = -0.06719, nw = 1651 141029.0032.ec.fits: ap = 58, w1 = 5209.698, w2 = 5099.841, dw = -0.06658, nw = 1651 141029.0032.ec.fits: ap = 59, w1 = 5162.772, w2 = 5053.906, dw = -0.06598, nw = 1651 141029.0032.ec.fits: ap = 60, w1 = 5116.684, w2 = 5008.791, dw = -0.06539, nw = 1651 141029.0032.ec.fits: ap = 61, w1 = 5071.412, w2 = 4964.475, dw = -0.06481, nw = 1651 141029.0032.ec.fits: ap = 62, w1 = 5026.935, w2 = 4920.937, dw = -0.06424, nw = 1651 141029.0032.ec.fits: ap = 63, w1 = 4983.231, w2 = 4878.155, dw = -0.06368, nw = 1651 141029.0032.ec.fits: ap = 64, w1 = 4940.281, w2 = 4836.113, dw = -0.06313, nw = 1651 141029.0032.ec.fits: ap = 65, w1 = 4898.065, w2 = 4794.788, dw = -0.06259, nw = 1651 141029.0032.ec.fits: ap = 66, w1 = 4856.564, w2 = 4754.164, dw = -0.06206, nw = 1651 141029.0032.ec.fits: ap = 67, w1 = 4815.761, w2 = 4714.223, dw = -0.06154, nw = 1651 141029.0032.ec.fits: ap = 68, w1 = 4775.639, w2 = 4674.947, dw = -0.06102, nw = 1651 141029.0032.ec.fits: ap = 69, w1 = 4736.179, w2 = 4636.321, dw = -0.06052, nw = 1651 141029.0032.ec.fits: ap = 70, w1 = 4697.367, w2 = 4598.329, dw = -0.06002, nw = 1651 141029.0032.ec.fits: ap = 71, w1 = 4659.186, w2 = 4560.954, dw = -0.05953, nw = 1651 141029.0032.ec.fits: ap = 72, w1 = 4621.62, w2 = 4524.182, dw = -0.05905, nw = 1651 141029.0032.ec.fits: ap = 73, w1 = 4584.656, w2 = 4487.998, dw = -0.05858, nw = 1651 141029.0032.ec.fits: ap = 74, w1 = 4548.279, w2 = 4452.389, dw = -0.05812, nw = 1651 141029.0032.ec.fits: ap = 75, w1 = 4512.475, w2 = 4417.341, dw = -0.05766, nw = 1651 141029.0032.ec.fits: ap = 76, w1 = 4477.23, w2 = 4382.84, dw = -0.05721, nw = 1651 141029.0032.ec.fits: ap = 77, w1 = 4442.532, w2 = 4348.875, dw = -0.05676, nw = 1651 141029.0032.ec.fits: ap = 78, w1 = 4408.367, w2 = 4315.432, dw = -0.05632, nw = 1651 141029.0032.ec.fits: ap = 79, w1 = 4374.725, w2 = 4282.5, dw = -0.05589, nw = 1651 141029.0032.ec.fits: ap = 80, w1 = 4341.592, w2 = 4250.067, dw = -0.05547, nw = 1651 141029.0032.ec.fits: ap = 81, w1 = 4308.957, w2 = 4218.122, dw = -0.05505, nw = 1651 141029.0032.ec.fits: ap = 82, w1 = 4276.81, w2 = 4186.653, dw = -0.05464, nw = 1651 141029.0032.ec.fits: ap = 83, w1 = 4245.139, w2 = 4155.651, dw = -0.05423, nw = 1651 141029.0032.ec.fits: ap = 84, w1 = 4213.933, w2 = 4125.105, dw = -0.05384, nw = 1651 141029.0032.ec.fits: ap = 85, w1 = 4183.184, w2 = 4095.005, dw = -0.05344, nw = 1651 141029.0032.ec.fits: ap = 86, w1 = 4152.88, w2 = 4065.342, dw = -0.05305, nw = 1651 141029.0032.ec.fits: ap = 87, w1 = 4123.012, w2 = 4036.105, dw = -0.05267, nw = 1651 141029.0032.ec.fits: ap = 88, w1 = 4093.571, w2 = 4007.286, dw = -0.05229, nw = 1651 141029.0032.ec.fits: ap = 89, w1 = 4064.548, w2 = 3978.876, dw = -0.05192, nw = 1651 141029.0032.ec.fits: ap = 90, w1 = 4035.933, w2 = 3950.866, dw = -0.05156, nw = 1651 141029.0032.ec.fits: ap = 91, w1 = 4007.719, w2 = 3923.248, dw = -0.05119, nw = 1651 141029.0032.ec.fits: ap = 92, w1 = 3979.897, w2 = 3896.014, dw = -0.05084, nw = 1651 141029.0032.ec.fits: ap = 93, w1 = 3952.458, w2 = 3869.156, dw = -0.05049, nw = 1651 141029.0032.ec.fits: ap = 94, w1 = 3925.395, w2 = 3842.665, dw = -0.05014, nw = 1651 141029.0032.ec.fits: ap = 95, w1 = 3898.701, w2 = 3816.535, dw = -0.0498, nw = 1651 141029.0032.ec.fits: ap = 96, w1 = 3872.367, w2 = 3790.758, dw = -0.04946, nw = 1651 141029.0032.ec.fits: ap = 97, w1 = 3846.387, w2 = 3765.328, dw = -0.04913, nw = 1651 141029.0032.ec.fits: ap = 98, w1 = 3820.753, w2 = 3740.236, dw = -0.0488, nw = 1651 141029.0032.ec.fits: ap = 99, w1 = 3795.459, w2 = 3715.477, dw = -0.04847, nw = 1651 141029.0032.ec.fits: ap = 100, w1 = 3770.498, w2 = 3691.044, dw = -0.04815, nw = 1651 141029.0032.ec.fits: ap = 101, w1 = 3745.862, w2 = 3666.93, dw = -0.04784, nw = 1651 141029.0032.ec.fits: ap = 102, w1 = 3721.547, w2 = 3643.13, dw = -0.04753, nw = 1651 141029.0032.ec.fits: ap = 103, w1 = 3697.546, w2 = 3619.637, dw = -0.04722, nw = 1651 141029.0032.ec.fits: ap = 104, w1 = 3673.852, w2 = 3596.445, dw = -0.04691, nw = 1651 141029.0032.ec.fits: ap = 105, w1 = 3650.46, w2 = 3573.548, dw = -0.04661, nw = 1651 141029.0032.ec.fits: ap = 106, w1 = 3627.364, w2 = 3550.942, dw = -0.04632, nw = 1651 141029.0032.ec.fits: ap = 107, w1 = 3604.559, w2 = 3528.62, dw = -0.04602, nw = 1651 141029.0032.ec.fits: ap = 108, w1 = 3582.039, w2 = 3506.577, dw = -0.04573, nw = 1651 141029.0032.ec.fits: ap = 109, w1 = 3559.798, w2 = 3484.808, dw = -0.04545, nw = 1651 141029.0032.ec.fits: ap = 110, w1 = 3537.832, w2 = 3463.307, dw = -0.04517, nw = 1651 141029.0032.ec.fits: ap = 111, w1 = 3516.136, w2 = 3442.071, dw = -0.04489, nw = 1651 141029.0032.ec.fits: ap = 112, w1 = 3494.703, w2 = 3421.093, dw = -0.04461, nw = 1651 141029.0032.ec.fits: ap = 113, w1 = 3473.531, w2 = 3400.371, dw = -0.04434, nw = 1651 141029.0032.ec.fits: ap = 114, w1 = 3452.614, w2 = 3379.898, dw = -0.04407, nw = 1651 141029.0032.ec.fits: ap = 115, w1 = 3431.947, w2 = 3359.67, dw = -0.0438, nw = 1651 141029.0033.ec.fits: REFSPEC1 = 'EchelleThAr.0031.ec 0.49122751' 141029.0033.ec.fits: REFSPEC2 = 'EchelleThAr.0035.ec 0.50877249' 141029.0033.ec.fits: ap = 1, w1 = 10811.73, w2 = 10583.56, dw = -0.13829, nw = 1651 141029.0033.ec.fits: ap = 2, w1 = 10611.53, w2 = 10387.59, dw = -0.13573, nw = 1651 141029.0033.ec.fits: ap = 3, w1 = 10418.61, w2 = 10198.74, dw = -0.13326, nw = 1651 141029.0033.ec.fits: ap = 4, w1 = 10232.58, w2 = 10016.63, dw = -0.13088, nw = 1651 141029.0033.ec.fits: ap = 5, w1 = 10053.08, w2 = 9840.921, dw = -0.12858, nw = 1651 141029.0033.ec.fits: ap = 6, w1 = 9879.767, w2 = 9671.266, dw = -0.12636, nw = 1651 141029.0033.ec.fits: ap = 7, w1 = 9712.328, w2 = 9507.362, dw = -0.12422, nw = 1651 141029.0033.ec.fits: ap = 8, w1 = 9550.47, w2 = 9348.922, dw = -0.12215, nw = 1651 141029.0033.ec.fits: ap = 9, w1 = 9393.919, w2 = 9195.676, dw = -0.12015, nw = 1651 141029.0033.ec.fits: ap = 10, w1 = 9242.418, w2 = 9047.374, dw = -0.11821, nw = 1651 141029.0033.ec.fits: ap = 11, w1 = 9095.726, w2 = 8903.779, dw = -0.11633, nw = 1651 141029.0033.ec.fits: ap = 12, w1 = 8953.618, w2 = 8764.672, dw = -0.11451, nw = 1651 141029.0033.ec.fits: ap = 13, w1 = 8815.882, w2 = 8629.845, dw = -0.11275, nw = 1651 141029.0033.ec.fits: ap = 14, w1 = 8682.319, w2 = 8499.103, dw = -0.11104, nw = 1651 141029.0033.ec.fits: ap = 15, w1 = 8552.744, w2 = 8372.264, dw = -0.10938, nw = 1651 141029.0033.ec.fits: ap = 16, w1 = 8426.979, w2 = 8249.156, dw = -0.10777, nw = 1651 141029.0033.ec.fits: ap = 17, w1 = 8304.86, w2 = 8129.616, dw = -0.10621, nw = 1651 141029.0033.ec.fits: ap = 18, w1 = 8186.23, w2 = 8013.492, dw = -0.10469, nw = 1651 141029.0033.ec.fits: ap = 19, w1 = 8070.941, w2 = 7900.638, dw = -0.10321, nw = 1651 141029.0033.ec.fits: ap = 20, w1 = 7958.855, w2 = 7790.919, dw = -0.10178, nw = 1651 141029.0033.ec.fits: ap = 21, w1 = 7849.839, w2 = 7684.207, dw = -0.10038, nw = 1651 141029.0033.ec.fits: ap = 22, w1 = 7743.77, w2 = 7580.378, dw = -0.09903, nw = 1651 141029.0033.ec.fits: ap = 23, w1 = 7640.529, w2 = 7479.318, dw = -0.0977, nw = 1651 141029.0033.ec.fits: ap = 24, w1 = 7540.005, w2 = 7380.918, dw = -0.09642, nw = 1651 141029.0033.ec.fits: ap = 25, w1 = 7442.092, w2 = 7285.073, dw = -0.09516, nw = 1651 141029.0033.ec.fits: ap = 26, w1 = 7346.69, w2 = 7191.686, dw = -0.09394, nw = 1651 141029.0033.ec.fits: ap = 27, w1 = 7253.703, w2 = 7100.663, dw = -0.09275, nw = 1651 141029.0033.ec.fits: ap = 28, w1 = 7163.04, w2 = 7011.916, dw = -0.09159, nw = 1651 141029.0033.ec.fits: ap = 29, w1 = 7074.616, w2 = 6925.36, dw = -0.09046, nw = 1651 141029.0033.ec.fits: ap = 30, w1 = 6988.349, w2 = 6840.915, dw = -0.08935, nw = 1651 141029.0033.ec.fits: ap = 31, w1 = 6904.16, w2 = 6758.505, dw = -0.08828, nw = 1651 141029.0033.ec.fits: ap = 32, w1 = 6821.976, w2 = 6678.057, dw = -0.08722, nw = 1651 141029.0033.ec.fits: ap = 33, w1 = 6741.726, w2 = 6599.502, dw = -0.0862, nw = 1651 141029.0033.ec.fits: ap = 34, w1 = 6663.342, w2 = 6522.774, dw = -0.08519, nw = 1651 141029.0033.ec.fits: ap = 35, w1 = 6586.76, w2 = 6447.81, dw = -0.08421, nw = 1651 141029.0033.ec.fits: ap = 36, w1 = 6511.918, w2 = 6374.55, dw = -0.08325, nw = 1651 141029.0033.ec.fits: ap = 37, w1 = 6438.758, w2 = 6302.935, dw = -0.08232, nw = 1651 141029.0033.ec.fits: ap = 38, w1 = 6367.224, w2 = 6232.913, dw = -0.0814, nw = 1651 141029.0033.ec.fits: ap = 39, w1 = 6297.263, w2 = 6164.429, dw = -0.08051, nw = 1651 141029.0033.ec.fits: ap = 40, w1 = 6228.822, w2 = 6097.434, dw = -0.07963, nw = 1651 141029.0033.ec.fits: ap = 41, w1 = 6161.853, w2 = 6031.88, dw = -0.07877, nw = 1651 141029.0033.ec.fits: ap = 42, w1 = 6096.31, w2 = 5967.721, dw = -0.07793, nw = 1651 141029.0033.ec.fits: ap = 43, w1 = 6032.146, w2 = 5904.913, dw = -0.07711, nw = 1651 141029.0033.ec.fits: ap = 44, w1 = 5969.319, w2 = 5843.413, dw = -0.07631, nw = 1651 141029.0033.ec.fits: ap = 45, w1 = 5907.787, w2 = 5783.181, dw = -0.07552, nw = 1651 141029.0033.ec.fits: ap = 46, w1 = 5847.512, w2 = 5724.179, dw = -0.07475, nw = 1651 141029.0033.ec.fits: ap = 47, w1 = 5788.454, w2 = 5666.369, dw = -0.07399, nw = 1651 141029.0033.ec.fits: ap = 48, w1 = 5730.577, w2 = 5609.714, dw = -0.07325, nw = 1651 141029.0033.ec.fits: ap = 49, w1 = 5673.846, w2 = 5554.182, dw = -0.07252, nw = 1651 141029.0033.ec.fits: ap = 50, w1 = 5618.228, w2 = 5499.739, dw = -0.07181, nw = 1651 141029.0033.ec.fits: ap = 51, w1 = 5563.69, w2 = 5446.353, dw = -0.07111, nw = 1651 141029.0033.ec.fits: ap = 52, w1 = 5510.201, w2 = 5393.994, dw = -0.07043, nw = 1651 141029.0033.ec.fits: ap = 53, w1 = 5457.731, w2 = 5342.632, dw = -0.06976, nw = 1651 141029.0033.ec.fits: ap = 54, w1 = 5406.251, w2 = 5292.239, dw = -0.0691, nw = 1651 141029.0033.ec.fits: ap = 55, w1 = 5355.733, w2 = 5242.788, dw = -0.06845, nw = 1651 141029.0033.ec.fits: ap = 56, w1 = 5306.151, w2 = 5194.253, dw = -0.06782, nw = 1651 141029.0033.ec.fits: ap = 57, w1 = 5257.479, w2 = 5146.609, dw = -0.06719, nw = 1651 141029.0033.ec.fits: ap = 58, w1 = 5209.692, w2 = 5099.831, dw = -0.06658, nw = 1651 141029.0033.ec.fits: ap = 59, w1 = 5162.766, w2 = 5053.896, dw = -0.06598, nw = 1651 141029.0033.ec.fits: ap = 60, w1 = 5116.677, w2 = 5008.782, dw = -0.06539, nw = 1651 141029.0033.ec.fits: ap = 61, w1 = 5071.405, w2 = 4964.466, dw = -0.06481, nw = 1651 141029.0033.ec.fits: ap = 62, w1 = 5026.927, w2 = 4920.927, dw = -0.06424, nw = 1651 141029.0033.ec.fits: ap = 63, w1 = 4983.223, w2 = 4878.146, dw = -0.06368, nw = 1651 141029.0033.ec.fits: ap = 64, w1 = 4940.273, w2 = 4836.103, dw = -0.06313, nw = 1651 141029.0033.ec.fits: ap = 65, w1 = 4898.057, w2 = 4794.779, dw = -0.06259, nw = 1651 141029.0033.ec.fits: ap = 66, w1 = 4856.556, w2 = 4754.155, dw = -0.06206, nw = 1651 141029.0033.ec.fits: ap = 67, w1 = 4815.753, w2 = 4714.213, dw = -0.06154, nw = 1651 141029.0033.ec.fits: ap = 68, w1 = 4775.631, w2 = 4674.938, dw = -0.06103, nw = 1651 141029.0033.ec.fits: ap = 69, w1 = 4736.171, w2 = 4636.312, dw = -0.06052, nw = 1651 141029.0033.ec.fits: ap = 70, w1 = 4697.359, w2 = 4598.319, dw = -0.06002, nw = 1651 141029.0033.ec.fits: ap = 71, w1 = 4659.177, w2 = 4560.944, dw = -0.05954, nw = 1651 141029.0033.ec.fits: ap = 72, w1 = 4621.612, w2 = 4524.172, dw = -0.05905, nw = 1651 141029.0033.ec.fits: ap = 73, w1 = 4584.648, w2 = 4487.989, dw = -0.05858, nw = 1651 141029.0033.ec.fits: ap = 74, w1 = 4548.27, w2 = 4452.38, dw = -0.05812, nw = 1651 141029.0033.ec.fits: ap = 75, w1 = 4512.466, w2 = 4417.332, dw = -0.05766, nw = 1651 141029.0033.ec.fits: ap = 76, w1 = 4477.221, w2 = 4382.831, dw = -0.05721, nw = 1651 141029.0033.ec.fits: ap = 77, w1 = 4442.523, w2 = 4348.866, dw = -0.05676, nw = 1651 141029.0033.ec.fits: ap = 78, w1 = 4408.358, w2 = 4315.423, dw = -0.05632, nw = 1651 141029.0033.ec.fits: ap = 79, w1 = 4374.715, w2 = 4282.491, dw = -0.05589, nw = 1651 141029.0033.ec.fits: ap = 80, w1 = 4341.583, w2 = 4250.058, dw = -0.05547, nw = 1651 141029.0033.ec.fits: ap = 81, w1 = 4308.948, w2 = 4218.113, dw = -0.05505, nw = 1651 141029.0033.ec.fits: ap = 82, w1 = 4276.801, w2 = 4186.645, dw = -0.05464, nw = 1651 141029.0033.ec.fits: ap = 83, w1 = 4245.13, w2 = 4155.644, dw = -0.05423, nw = 1651 141029.0033.ec.fits: ap = 84, w1 = 4213.925, w2 = 4125.098, dw = -0.05383, nw = 1651 141029.0033.ec.fits: ap = 85, w1 = 4183.175, w2 = 4094.998, dw = -0.05344, nw = 1651 141029.0033.ec.fits: ap = 86, w1 = 4152.871, w2 = 4065.335, dw = -0.05305, nw = 1651 141029.0033.ec.fits: ap = 87, w1 = 4123.004, w2 = 4036.099, dw = -0.05267, nw = 1651 141029.0033.ec.fits: ap = 88, w1 = 4093.563, w2 = 4007.28, dw = -0.05229, nw = 1651 141029.0033.ec.fits: ap = 89, w1 = 4064.539, w2 = 3978.871, dw = -0.05192, nw = 1651 141029.0033.ec.fits: ap = 90, w1 = 4035.925, w2 = 3950.862, dw = -0.05155, nw = 1651 141029.0033.ec.fits: ap = 91, w1 = 4007.711, w2 = 3923.244, dw = -0.05119, nw = 1651 141029.0033.ec.fits: ap = 92, w1 = 3979.889, w2 = 3896.011, dw = -0.05084, nw = 1651 141029.0033.ec.fits: ap = 93, w1 = 3952.451, w2 = 3869.153, dw = -0.05048, nw = 1651 141029.0033.ec.fits: ap = 94, w1 = 3925.388, w2 = 3842.663, dw = -0.05014, nw = 1651 141029.0033.ec.fits: ap = 95, w1 = 3898.694, w2 = 3816.534, dw = -0.04979, nw = 1651 141029.0033.ec.fits: ap = 96, w1 = 3872.361, w2 = 3790.758, dw = -0.04946, nw = 1651 141029.0033.ec.fits: ap = 97, w1 = 3846.381, w2 = 3765.328, dw = -0.04912, nw = 1651 141029.0033.ec.fits: ap = 98, w1 = 3820.748, w2 = 3740.237, dw = -0.04879, nw = 1651 141029.0033.ec.fits: ap = 99, w1 = 3795.454, w2 = 3715.479, dw = -0.04847, nw = 1651 141029.0033.ec.fits: ap = 100, w1 = 3770.493, w2 = 3691.047, dw = -0.04815, nw = 1651 141029.0033.ec.fits: ap = 101, w1 = 3745.859, w2 = 3666.934, dw = -0.04783, nw = 1651 141029.0033.ec.fits: ap = 102, w1 = 3721.544, w2 = 3643.135, dw = -0.04752, nw = 1651 141029.0033.ec.fits: ap = 103, w1 = 3697.543, w2 = 3619.643, dw = -0.04721, nw = 1651 141029.0033.ec.fits: ap = 104, w1 = 3673.85, w2 = 3596.452, dw = -0.04691, nw = 1651 141029.0033.ec.fits: ap = 105, w1 = 3650.459, w2 = 3573.557, dw = -0.04661, nw = 1651 141029.0033.ec.fits: ap = 106, w1 = 3627.364, w2 = 3550.952, dw = -0.04631, nw = 1651 141029.0033.ec.fits: ap = 107, w1 = 3604.56, w2 = 3528.631, dw = -0.04602, nw = 1651 141029.0033.ec.fits: ap = 108, w1 = 3582.04, w2 = 3506.59, dw = -0.04573, nw = 1651 141029.0033.ec.fits: ap = 109, w1 = 3559.801, w2 = 3484.823, dw = -0.04544, nw = 1651 141029.0033.ec.fits: ap = 110, w1 = 3537.836, w2 = 3463.324, dw = -0.04516, nw = 1651 141029.0033.ec.fits: ap = 111, w1 = 3516.14, w2 = 3442.09, dw = -0.04488, nw = 1651 141029.0033.ec.fits: ap = 112, w1 = 3494.709, w2 = 3421.114, dw = -0.0446, nw = 1651 141029.0033.ec.fits: ap = 113, w1 = 3473.538, w2 = 3400.393, dw = -0.04433, nw = 1651 141029.0033.ec.fits: ap = 114, w1 = 3452.622, w2 = 3379.922, dw = -0.04406, nw = 1651 141029.0033.ec.fits: ap = 115, w1 = 3431.957, w2 = 3359.696, dw = -0.04379, nw = 1651 141029.0034.ec.fits: REFSPEC1 = 'EchelleThAr.0031.ec 0.21248333' 141029.0034.ec.fits: REFSPEC2 = 'EchelleThAr.0035.ec 0.78751665' 141029.0034.ec.fits: ap = 1, w1 = 10811.72, w2 = 10583.54, dw = -0.13829, nw = 1651 141029.0034.ec.fits: ap = 2, w1 = 10611.52, w2 = 10387.57, dw = -0.13573, nw = 1651 141029.0034.ec.fits: ap = 3, w1 = 10418.6, w2 = 10198.72, dw = -0.13326, nw = 1651 141029.0034.ec.fits: ap = 4, w1 = 10232.57, w2 = 10016.62, dw = -0.13088, nw = 1651 141029.0034.ec.fits: ap = 5, w1 = 10053.07, w2 = 9840.904, dw = -0.12858, nw = 1651 141029.0034.ec.fits: ap = 6, w1 = 9879.753, w2 = 9671.249, dw = -0.12637, nw = 1651 141029.0034.ec.fits: ap = 7, w1 = 9712.314, w2 = 9507.345, dw = -0.12422, nw = 1651 141029.0034.ec.fits: ap = 8, w1 = 9550.456, w2 = 9348.904, dw = -0.12215, nw = 1651 141029.0034.ec.fits: ap = 9, w1 = 9393.905, w2 = 9195.659, dw = -0.12015, nw = 1651 141029.0034.ec.fits: ap = 10, w1 = 9242.404, w2 = 9047.356, dw = -0.11821, nw = 1651 141029.0034.ec.fits: ap = 11, w1 = 9095.712, w2 = 8903.762, dw = -0.11633, nw = 1651 141029.0034.ec.fits: ap = 12, w1 = 8953.604, w2 = 8764.655, dw = -0.11451, nw = 1651 141029.0034.ec.fits: ap = 13, w1 = 8815.868, w2 = 8629.828, dw = -0.11275, nw = 1651 141029.0034.ec.fits: ap = 14, w1 = 8682.306, w2 = 8499.086, dw = -0.11104, nw = 1651 141029.0034.ec.fits: ap = 15, w1 = 8552.731, w2 = 8372.248, dw = -0.10938, nw = 1651 141029.0034.ec.fits: ap = 16, w1 = 8426.967, w2 = 8249.139, dw = -0.10777, nw = 1651 141029.0034.ec.fits: ap = 17, w1 = 8304.848, w2 = 8129.6, dw = -0.10621, nw = 1651 141029.0034.ec.fits: ap = 18, w1 = 8186.218, w2 = 8013.475, dw = -0.10469, nw = 1651 141029.0034.ec.fits: ap = 19, w1 = 8070.929, w2 = 7900.622, dw = -0.10322, nw = 1651 141029.0034.ec.fits: ap = 20, w1 = 7958.843, w2 = 7790.904, dw = -0.10178, nw = 1651 141029.0034.ec.fits: ap = 21, w1 = 7849.828, w2 = 7684.191, dw = -0.10039, nw = 1651 141029.0034.ec.fits: ap = 22, w1 = 7743.759, w2 = 7580.363, dw = -0.09903, nw = 1651 141029.0034.ec.fits: ap = 23, w1 = 7640.519, w2 = 7479.303, dw = -0.09771, nw = 1651 141029.0034.ec.fits: ap = 24, w1 = 7539.995, w2 = 7380.903, dw = -0.09642, nw = 1651 141029.0034.ec.fits: ap = 25, w1 = 7442.082, w2 = 7285.059, dw = -0.09517, nw = 1651 141029.0034.ec.fits: ap = 26, w1 = 7346.68, w2 = 7191.672, dw = -0.09394, nw = 1651 141029.0034.ec.fits: ap = 27, w1 = 7253.693, w2 = 7100.65, dw = -0.09275, nw = 1651 141029.0034.ec.fits: ap = 28, w1 = 7163.031, w2 = 7011.903, dw = -0.09159, nw = 1651 141029.0034.ec.fits: ap = 29, w1 = 7074.607, w2 = 6925.347, dw = -0.09046, nw = 1651 141029.0034.ec.fits: ap = 30, w1 = 6988.34, w2 = 6840.903, dw = -0.08936, nw = 1651 141029.0034.ec.fits: ap = 31, w1 = 6904.152, w2 = 6758.493, dw = -0.08828, nw = 1651 141029.0034.ec.fits: ap = 32, w1 = 6821.968, w2 = 6678.045, dw = -0.08723, nw = 1651 141029.0034.ec.fits: ap = 33, w1 = 6741.718, w2 = 6599.491, dw = -0.0862, nw = 1651 141029.0034.ec.fits: ap = 34, w1 = 6663.334, w2 = 6522.763, dw = -0.08519, nw = 1651 141029.0034.ec.fits: ap = 35, w1 = 6586.752, w2 = 6447.799, dw = -0.08421, nw = 1651 141029.0034.ec.fits: ap = 36, w1 = 6511.911, w2 = 6374.539, dw = -0.08326, nw = 1651 141029.0034.ec.fits: ap = 37, w1 = 6438.751, w2 = 6302.925, dw = -0.08232, nw = 1651 141029.0034.ec.fits: ap = 38, w1 = 6367.217, w2 = 6232.902, dw = -0.0814, nw = 1651 141029.0034.ec.fits: ap = 39, w1 = 6297.256, w2 = 6164.419, dw = -0.08051, nw = 1651 141029.0034.ec.fits: ap = 40, w1 = 6228.816, w2 = 6097.424, dw = -0.07963, nw = 1651 141029.0034.ec.fits: ap = 41, w1 = 6161.847, w2 = 6031.871, dw = -0.07877, nw = 1651 141029.0034.ec.fits: ap = 42, w1 = 6096.303, w2 = 5967.712, dw = -0.07793, nw = 1651 141029.0034.ec.fits: ap = 43, w1 = 6032.14, w2 = 5904.903, dw = -0.07711, nw = 1651 141029.0034.ec.fits: ap = 44, w1 = 5969.313, w2 = 5843.404, dw = -0.07631, nw = 1651 141029.0034.ec.fits: ap = 45, w1 = 5907.781, w2 = 5783.172, dw = -0.07552, nw = 1651 141029.0034.ec.fits: ap = 46, w1 = 5847.505, w2 = 5724.17, dw = -0.07475, nw = 1651 141029.0034.ec.fits: ap = 47, w1 = 5788.447, w2 = 5666.359, dw = -0.07399, nw = 1651 141029.0034.ec.fits: ap = 48, w1 = 5730.571, w2 = 5609.705, dw = -0.07325, nw = 1651 141029.0034.ec.fits: ap = 49, w1 = 5673.84, w2 = 5554.173, dw = -0.07253, nw = 1651 141029.0034.ec.fits: ap = 50, w1 = 5618.222, w2 = 5499.73, dw = -0.07181, nw = 1651 141029.0034.ec.fits: ap = 51, w1 = 5563.684, w2 = 5446.344, dw = -0.07112, nw = 1651 141029.0034.ec.fits: ap = 52, w1 = 5510.195, w2 = 5393.985, dw = -0.07043, nw = 1651 141029.0034.ec.fits: ap = 53, w1 = 5457.725, w2 = 5342.623, dw = -0.06976, nw = 1651 141029.0034.ec.fits: ap = 54, w1 = 5406.245, w2 = 5292.23, dw = -0.0691, nw = 1651 141029.0034.ec.fits: ap = 55, w1 = 5355.727, w2 = 5242.779, dw = -0.06845, nw = 1651 141029.0034.ec.fits: ap = 56, w1 = 5306.145, w2 = 5194.244, dw = -0.06782, nw = 1651 141029.0034.ec.fits: ap = 57, w1 = 5257.472, w2 = 5146.6, dw = -0.0672, nw = 1651 141029.0034.ec.fits: ap = 58, w1 = 5209.685, w2 = 5099.822, dw = -0.06658, nw = 1651 141029.0034.ec.fits: ap = 59, w1 = 5162.759, w2 = 5053.887, dw = -0.06598, nw = 1651 141029.0034.ec.fits: ap = 60, w1 = 5116.671, w2 = 5008.773, dw = -0.06539, nw = 1651 141029.0034.ec.fits: ap = 61, w1 = 5071.398, w2 = 4964.457, dw = -0.06481, nw = 1651 141029.0034.ec.fits: ap = 62, w1 = 5026.921, w2 = 4920.918, dw = -0.06424, nw = 1651 141029.0034.ec.fits: ap = 63, w1 = 4983.216, w2 = 4878.137, dw = -0.06368, nw = 1651 141029.0034.ec.fits: ap = 64, w1 = 4940.266, w2 = 4836.094, dw = -0.06313, nw = 1651 141029.0034.ec.fits: ap = 65, w1 = 4898.049, w2 = 4794.769, dw = -0.06259, nw = 1651 141029.0034.ec.fits: ap = 66, w1 = 4856.549, w2 = 4754.145, dw = -0.06206, nw = 1651 141029.0034.ec.fits: ap = 67, w1 = 4815.746, w2 = 4714.204, dw = -0.06154, nw = 1651 141029.0034.ec.fits: ap = 68, w1 = 4775.623, w2 = 4674.929, dw = -0.06103, nw = 1651 141029.0034.ec.fits: ap = 69, w1 = 4736.163, w2 = 4636.302, dw = -0.06052, nw = 1651 141029.0034.ec.fits: ap = 70, w1 = 4697.35, w2 = 4598.31, dw = -0.06002, nw = 1651 141029.0034.ec.fits: ap = 71, w1 = 4659.169, w2 = 4560.935, dw = -0.05954, nw = 1651 141029.0034.ec.fits: ap = 72, w1 = 4621.604, w2 = 4524.163, dw = -0.05905, nw = 1651 141029.0034.ec.fits: ap = 73, w1 = 4584.639, w2 = 4487.98, dw = -0.05858, nw = 1651 141029.0034.ec.fits: ap = 74, w1 = 4548.262, w2 = 4452.371, dw = -0.05812, nw = 1651 141029.0034.ec.fits: ap = 75, w1 = 4512.457, w2 = 4417.323, dw = -0.05766, nw = 1651 141029.0034.ec.fits: ap = 76, w1 = 4477.212, w2 = 4382.822, dw = -0.05721, nw = 1651 141029.0034.ec.fits: ap = 77, w1 = 4442.514, w2 = 4348.857, dw = -0.05676, nw = 1651 141029.0034.ec.fits: ap = 78, w1 = 4408.349, w2 = 4315.415, dw = -0.05632, nw = 1651 141029.0034.ec.fits: ap = 79, w1 = 4374.707, w2 = 4282.483, dw = -0.05589, nw = 1651 141029.0034.ec.fits: ap = 80, w1 = 4341.574, w2 = 4250.05, dw = -0.05547, nw = 1651 141029.0034.ec.fits: ap = 81, w1 = 4308.939, w2 = 4218.105, dw = -0.05505, nw = 1651 141029.0034.ec.fits: ap = 82, w1 = 4276.792, w2 = 4186.638, dw = -0.05464, nw = 1651 141029.0034.ec.fits: ap = 83, w1 = 4245.121, w2 = 4155.636, dw = -0.05423, nw = 1651 141029.0034.ec.fits: ap = 84, w1 = 4213.916, w2 = 4125.091, dw = -0.05383, nw = 1651 141029.0034.ec.fits: ap = 85, w1 = 4183.166, w2 = 4094.991, dw = -0.05344, nw = 1651 141029.0034.ec.fits: ap = 86, w1 = 4152.863, w2 = 4065.329, dw = -0.05305, nw = 1651 141029.0034.ec.fits: ap = 87, w1 = 4122.995, w2 = 4036.093, dw = -0.05267, nw = 1651 141029.0034.ec.fits: ap = 88, w1 = 4093.554, w2 = 4007.275, dw = -0.05229, nw = 1651 141029.0034.ec.fits: ap = 89, w1 = 4064.531, w2 = 3978.866, dw = -0.05192, nw = 1651 141029.0034.ec.fits: ap = 90, w1 = 4035.917, w2 = 3950.857, dw = -0.05155, nw = 1651 141029.0034.ec.fits: ap = 91, w1 = 4007.703, w2 = 3923.24, dw = -0.05119, nw = 1651 141029.0034.ec.fits: ap = 92, w1 = 3979.881, w2 = 3896.007, dw = -0.05083, nw = 1651 141029.0034.ec.fits: ap = 93, w1 = 3952.443, w2 = 3869.15, dw = -0.05048, nw = 1651 141029.0034.ec.fits: ap = 94, w1 = 3925.381, w2 = 3842.661, dw = -0.05013, nw = 1651 141029.0034.ec.fits: ap = 95, w1 = 3898.688, w2 = 3816.532, dw = -0.04979, nw = 1651 141029.0034.ec.fits: ap = 96, w1 = 3872.355, w2 = 3790.757, dw = -0.04945, nw = 1651 141029.0034.ec.fits: ap = 97, w1 = 3846.375, w2 = 3765.328, dw = -0.04912, nw = 1651 141029.0034.ec.fits: ap = 98, w1 = 3820.742, w2 = 3740.238, dw = -0.04879, nw = 1651 141029.0034.ec.fits: ap = 99, w1 = 3795.449, w2 = 3715.481, dw = -0.04847, nw = 1651 141029.0034.ec.fits: ap = 100, w1 = 3770.489, w2 = 3691.05, dw = -0.04814, nw = 1651 141029.0034.ec.fits: ap = 101, w1 = 3745.855, w2 = 3666.938, dw = -0.04783, nw = 1651 141029.0034.ec.fits: ap = 102, w1 = 3721.541, w2 = 3643.14, dw = -0.04752, nw = 1651 141029.0034.ec.fits: ap = 103, w1 = 3697.541, w2 = 3619.649, dw = -0.04721, nw = 1651 141029.0034.ec.fits: ap = 104, w1 = 3673.849, w2 = 3596.46, dw = -0.0469, nw = 1651 141029.0034.ec.fits: ap = 105, w1 = 3650.458, w2 = 3573.566, dw = -0.0466, nw = 1651 141029.0034.ec.fits: ap = 106, w1 = 3627.364, w2 = 3550.962, dw = -0.0463, nw = 1651 141029.0034.ec.fits: ap = 107, w1 = 3604.56, w2 = 3528.643, dw = -0.04601, nw = 1651 141029.0034.ec.fits: ap = 108, w1 = 3582.042, w2 = 3506.603, dw = -0.04572, nw = 1651 141029.0034.ec.fits: ap = 109, w1 = 3559.803, w2 = 3484.837, dw = -0.04543, nw = 1651 141029.0034.ec.fits: ap = 110, w1 = 3537.839, w2 = 3463.34, dw = -0.04515, nw = 1651 141029.0034.ec.fits: ap = 111, w1 = 3516.145, w2 = 3442.107, dw = -0.04487, nw = 1651 141029.0034.ec.fits: ap = 112, w1 = 3494.715, w2 = 3421.134, dw = -0.04459, nw = 1651 141029.0034.ec.fits: ap = 113, w1 = 3473.545, w2 = 3400.415, dw = -0.04432, nw = 1651 141029.0034.ec.fits: ap = 114, w1 = 3452.63, w2 = 3379.945, dw = -0.04405, nw = 1651 141029.0034.ec.fits: ap = 115, w1 = 3431.966, w2 = 3359.722, dw = -0.04378, nw = 1651 141029.0036.ec.fits: REFSPEC1 = 'EchelleThAr.0035.ec 0.8465184' 141029.0036.ec.fits: REFSPEC2 = 'EchelleThAr.0040.ec 0.1534816' 141029.0036.ec.fits: ap = 1, w1 = 10811.71, w2 = 10583.53, dw = -0.13829, nw = 1651 141029.0036.ec.fits: ap = 2, w1 = 10611.51, w2 = 10387.56, dw = -0.13573, nw = 1651 141029.0036.ec.fits: ap = 3, w1 = 10418.59, w2 = 10198.71, dw = -0.13326, nw = 1651 141029.0036.ec.fits: ap = 4, w1 = 10232.56, w2 = 10016.61, dw = -0.13088, nw = 1651 141029.0036.ec.fits: ap = 5, w1 = 10053.06, w2 = 9840.893, dw = -0.12859, nw = 1651 141029.0036.ec.fits: ap = 6, w1 = 9879.744, w2 = 9671.238, dw = -0.12637, nw = 1651 141029.0036.ec.fits: ap = 7, w1 = 9712.305, w2 = 9507.334, dw = -0.12422, nw = 1651 141029.0036.ec.fits: ap = 8, w1 = 9550.447, w2 = 9348.893, dw = -0.12215, nw = 1651 141029.0036.ec.fits: ap = 9, w1 = 9393.895, w2 = 9195.647, dw = -0.12015, nw = 1651 141029.0036.ec.fits: ap = 10, w1 = 9242.394, w2 = 9047.345, dw = -0.11821, nw = 1651 141029.0036.ec.fits: ap = 11, w1 = 9095.702, w2 = 8903.75, dw = -0.11633, nw = 1651 141029.0036.ec.fits: ap = 12, w1 = 8953.594, w2 = 8764.643, dw = -0.11452, nw = 1651 141029.0036.ec.fits: ap = 13, w1 = 8815.858, w2 = 8629.816, dw = -0.11275, nw = 1651 141029.0036.ec.fits: ap = 14, w1 = 8682.297, w2 = 8499.076, dw = -0.11104, nw = 1651 141029.0036.ec.fits: ap = 15, w1 = 8552.721, w2 = 8372.237, dw = -0.10938, nw = 1651 141029.0036.ec.fits: ap = 16, w1 = 8426.957, w2 = 8249.128, dw = -0.10777, nw = 1651 141029.0036.ec.fits: ap = 17, w1 = 8304.837, w2 = 8129.589, dw = -0.10621, nw = 1651 141029.0036.ec.fits: ap = 18, w1 = 8186.207, w2 = 8013.464, dw = -0.10469, nw = 1651 141029.0036.ec.fits: ap = 19, w1 = 8070.919, w2 = 7900.611, dw = -0.10322, nw = 1651 141029.0036.ec.fits: ap = 20, w1 = 7958.834, w2 = 7790.893, dw = -0.10178, nw = 1651 141029.0036.ec.fits: ap = 21, w1 = 7849.819, w2 = 7684.181, dw = -0.10039, nw = 1651 141029.0036.ec.fits: ap = 22, w1 = 7743.75, w2 = 7580.352, dw = -0.09903, nw = 1651 141029.0036.ec.fits: ap = 23, w1 = 7640.509, w2 = 7479.293, dw = -0.09771, nw = 1651 141029.0036.ec.fits: ap = 24, w1 = 7539.986, w2 = 7380.893, dw = -0.09642, nw = 1651 141029.0036.ec.fits: ap = 25, w1 = 7442.073, w2 = 7285.049, dw = -0.09517, nw = 1651 141029.0036.ec.fits: ap = 26, w1 = 7346.671, w2 = 7191.662, dw = -0.09395, nw = 1651 141029.0036.ec.fits: ap = 27, w1 = 7253.685, w2 = 7100.64, dw = -0.09275, nw = 1651 141029.0036.ec.fits: ap = 28, w1 = 7163.023, w2 = 7011.893, dw = -0.09159, nw = 1651 141029.0036.ec.fits: ap = 29, w1 = 7074.599, w2 = 6925.337, dw = -0.09046, nw = 1651 141029.0036.ec.fits: ap = 30, w1 = 6988.332, w2 = 6840.893, dw = -0.08936, nw = 1651 141029.0036.ec.fits: ap = 31, w1 = 6904.144, w2 = 6758.483, dw = -0.08828, nw = 1651 141029.0036.ec.fits: ap = 32, w1 = 6821.961, w2 = 6678.036, dw = -0.08723, nw = 1651 141029.0036.ec.fits: ap = 33, w1 = 6741.711, w2 = 6599.481, dw = -0.0862, nw = 1651 141029.0036.ec.fits: ap = 34, w1 = 6663.327, w2 = 6522.754, dw = -0.0852, nw = 1651 141029.0036.ec.fits: ap = 35, w1 = 6586.746, w2 = 6447.79, dw = -0.08422, nw = 1651 141029.0036.ec.fits: ap = 36, w1 = 6511.904, w2 = 6374.53, dw = -0.08326, nw = 1651 141029.0036.ec.fits: ap = 37, w1 = 6438.745, w2 = 6302.916, dw = -0.08232, nw = 1651 141029.0036.ec.fits: ap = 38, w1 = 6367.212, w2 = 6232.894, dw = -0.0814, nw = 1651 141029.0036.ec.fits: ap = 39, w1 = 6297.25, w2 = 6164.411, dw = -0.08051, nw = 1651 141029.0036.ec.fits: ap = 40, w1 = 6228.81, w2 = 6097.416, dw = -0.07963, nw = 1651 141029.0036.ec.fits: ap = 41, w1 = 6161.842, w2 = 6031.862, dw = -0.07878, nw = 1651 141029.0036.ec.fits: ap = 42, w1 = 6096.298, w2 = 5967.704, dw = -0.07794, nw = 1651 141029.0036.ec.fits: ap = 43, w1 = 6032.135, w2 = 5904.895, dw = -0.07711, nw = 1651 141029.0036.ec.fits: ap = 44, w1 = 5969.308, w2 = 5843.396, dw = -0.07631, nw = 1651 141029.0036.ec.fits: ap = 45, w1 = 5907.776, w2 = 5783.164, dw = -0.07552, nw = 1651 141029.0036.ec.fits: ap = 46, w1 = 5847.501, w2 = 5724.162, dw = -0.07475, nw = 1651 141029.0036.ec.fits: ap = 47, w1 = 5788.443, w2 = 5666.352, dw = -0.07399, nw = 1651 141029.0036.ec.fits: ap = 48, w1 = 5730.566, w2 = 5609.698, dw = -0.07325, nw = 1651 141029.0036.ec.fits: ap = 49, w1 = 5673.836, w2 = 5554.166, dw = -0.07253, nw = 1651 141029.0036.ec.fits: ap = 50, w1 = 5618.218, w2 = 5499.723, dw = -0.07182, nw = 1651 141029.0036.ec.fits: ap = 51, w1 = 5563.68, w2 = 5446.337, dw = -0.07112, nw = 1651 141029.0036.ec.fits: ap = 52, w1 = 5510.191, w2 = 5393.977, dw = -0.07043, nw = 1651 141029.0036.ec.fits: ap = 53, w1 = 5457.721, w2 = 5342.616, dw = -0.06976, nw = 1651 141029.0036.ec.fits: ap = 54, w1 = 5406.241, w2 = 5292.223, dw = -0.0691, nw = 1651 141029.0036.ec.fits: ap = 55, w1 = 5355.723, w2 = 5242.772, dw = -0.06845, nw = 1651 141029.0036.ec.fits: ap = 56, w1 = 5306.141, w2 = 5194.238, dw = -0.06782, nw = 1651 141029.0036.ec.fits: ap = 57, w1 = 5257.468, w2 = 5146.593, dw = -0.0672, nw = 1651 141029.0036.ec.fits: ap = 58, w1 = 5209.681, w2 = 5099.816, dw = -0.06659, nw = 1651 141029.0036.ec.fits: ap = 59, w1 = 5162.755, w2 = 5053.881, dw = -0.06598, nw = 1651 141029.0036.ec.fits: ap = 60, w1 = 5116.667, w2 = 5008.766, dw = -0.06539, nw = 1651 141029.0036.ec.fits: ap = 61, w1 = 5071.394, w2 = 4964.45, dw = -0.06481, nw = 1651 141029.0036.ec.fits: ap = 62, w1 = 5026.916, w2 = 4920.912, dw = -0.06425, nw = 1651 141029.0036.ec.fits: ap = 63, w1 = 4983.211, w2 = 4878.13, dw = -0.06369, nw = 1651 141029.0036.ec.fits: ap = 64, w1 = 4940.261, w2 = 4836.087, dw = -0.06314, nw = 1651 141029.0036.ec.fits: ap = 65, w1 = 4898.044, w2 = 4794.762, dw = -0.0626, nw = 1651 141029.0036.ec.fits: ap = 66, w1 = 4856.544, w2 = 4754.138, dw = -0.06206, nw = 1651 141029.0036.ec.fits: ap = 67, w1 = 4815.74, w2 = 4714.197, dw = -0.06154, nw = 1651 141029.0036.ec.fits: ap = 68, w1 = 4775.617, w2 = 4674.922, dw = -0.06103, nw = 1651 141029.0036.ec.fits: ap = 69, w1 = 4736.158, w2 = 4636.296, dw = -0.06052, nw = 1651 141029.0036.ec.fits: ap = 70, w1 = 4697.345, w2 = 4598.303, dw = -0.06003, nw = 1651 141029.0036.ec.fits: ap = 71, w1 = 4659.164, w2 = 4560.928, dw = -0.05954, nw = 1651 141029.0036.ec.fits: ap = 72, w1 = 4621.598, w2 = 4524.156, dw = -0.05906, nw = 1651 141029.0036.ec.fits: ap = 73, w1 = 4584.633, w2 = 4487.973, dw = -0.05858, nw = 1651 141029.0036.ec.fits: ap = 74, w1 = 4548.256, w2 = 4452.364, dw = -0.05812, nw = 1651 141029.0036.ec.fits: ap = 75, w1 = 4512.451, w2 = 4417.316, dw = -0.05766, nw = 1651 141029.0036.ec.fits: ap = 76, w1 = 4477.206, w2 = 4382.816, dw = -0.05721, nw = 1651 141029.0036.ec.fits: ap = 77, w1 = 4442.507, w2 = 4348.851, dw = -0.05676, nw = 1651 141029.0036.ec.fits: ap = 78, w1 = 4408.343, w2 = 4315.408, dw = -0.05632, nw = 1651 141029.0036.ec.fits: ap = 79, w1 = 4374.7, w2 = 4282.477, dw = -0.05589, nw = 1651 141029.0036.ec.fits: ap = 80, w1 = 4341.567, w2 = 4250.044, dw = -0.05547, nw = 1651 141029.0036.ec.fits: ap = 81, w1 = 4308.932, w2 = 4218.099, dw = -0.05505, nw = 1651 141029.0036.ec.fits: ap = 82, w1 = 4276.784, w2 = 4186.631, dw = -0.05464, nw = 1651 141029.0036.ec.fits: ap = 83, w1 = 4245.113, w2 = 4155.63, dw = -0.05423, nw = 1651 141029.0036.ec.fits: ap = 84, w1 = 4213.907, w2 = 4125.084, dw = -0.05383, nw = 1651 141029.0036.ec.fits: ap = 85, w1 = 4183.157, w2 = 4094.985, dw = -0.05344, nw = 1651 141029.0036.ec.fits: ap = 86, w1 = 4152.853, w2 = 4065.322, dw = -0.05305, nw = 1651 141029.0036.ec.fits: ap = 87, w1 = 4122.986, w2 = 4036.087, dw = -0.05267, nw = 1651 141029.0036.ec.fits: ap = 88, w1 = 4093.545, w2 = 4007.269, dw = -0.05229, nw = 1651 141029.0036.ec.fits: ap = 89, w1 = 4064.522, w2 = 3978.86, dw = -0.05192, nw = 1651 141029.0036.ec.fits: ap = 90, w1 = 4035.907, w2 = 3950.851, dw = -0.05155, nw = 1651 141029.0036.ec.fits: ap = 91, w1 = 4007.693, w2 = 3923.234, dw = -0.05119, nw = 1651 141029.0036.ec.fits: ap = 92, w1 = 3979.871, w2 = 3896.001, dw = -0.05083, nw = 1651 141029.0036.ec.fits: ap = 93, w1 = 3952.433, w2 = 3869.144, dw = -0.05048, nw = 1651 141029.0036.ec.fits: ap = 94, w1 = 3925.371, w2 = 3842.655, dw = -0.05013, nw = 1651 141029.0036.ec.fits: ap = 95, w1 = 3898.677, w2 = 3816.527, dw = -0.04979, nw = 1651 141029.0036.ec.fits: ap = 96, w1 = 3872.343, w2 = 3790.751, dw = -0.04945, nw = 1651 141029.0036.ec.fits: ap = 97, w1 = 3846.364, w2 = 3765.323, dw = -0.04912, nw = 1651 141029.0036.ec.fits: ap = 98, w1 = 3820.731, w2 = 3740.233, dw = -0.04879, nw = 1651 141029.0036.ec.fits: ap = 99, w1 = 3795.437, w2 = 3715.476, dw = -0.04846, nw = 1651 141029.0036.ec.fits: ap = 100, w1 = 3770.477, w2 = 3691.045, dw = -0.04814, nw = 1651 141029.0036.ec.fits: ap = 101, w1 = 3745.842, w2 = 3666.933, dw = -0.04782, nw = 1651 141029.0036.ec.fits: ap = 102, w1 = 3721.528, w2 = 3643.135, dw = -0.04751, nw = 1651 141029.0036.ec.fits: ap = 103, w1 = 3697.528, w2 = 3619.644, dw = -0.0472, nw = 1651 141029.0036.ec.fits: ap = 104, w1 = 3673.835, w2 = 3596.455, dw = -0.0469, nw = 1651 141029.0036.ec.fits: ap = 105, w1 = 3650.445, w2 = 3573.561, dw = -0.0466, nw = 1651 141029.0036.ec.fits: ap = 106, w1 = 3627.35, w2 = 3550.958, dw = -0.0463, nw = 1651 141029.0036.ec.fits: ap = 107, w1 = 3604.546, w2 = 3528.639, dw = -0.046, nw = 1651 141029.0036.ec.fits: ap = 108, w1 = 3582.028, w2 = 3506.599, dw = -0.04571, nw = 1651 141029.0036.ec.fits: ap = 109, w1 = 3559.789, w2 = 3484.833, dw = -0.04543, nw = 1651 141029.0036.ec.fits: ap = 110, w1 = 3537.824, w2 = 3463.336, dw = -0.04514, nw = 1651 141029.0036.ec.fits: ap = 111, w1 = 3516.13, w2 = 3442.104, dw = -0.04486, nw = 1651 141029.0036.ec.fits: ap = 112, w1 = 3494.7, w2 = 3421.13, dw = -0.04459, nw = 1651 141029.0036.ec.fits: ap = 113, w1 = 3473.53, w2 = 3400.411, dw = -0.04431, nw = 1651 141029.0036.ec.fits: ap = 114, w1 = 3452.615, w2 = 3379.942, dw = -0.04404, nw = 1651 141029.0036.ec.fits: ap = 115, w1 = 3431.95, w2 = 3359.719, dw = -0.04378, nw = 1651 141029.0037.ec.fits: REFSPEC1 = 'EchelleThAr.0035.ec 0.58410847' 141029.0037.ec.fits: REFSPEC2 = 'EchelleThAr.0040.ec 0.4158915' 141029.0037.ec.fits: ap = 1, w1 = 10811.72, w2 = 10583.54, dw = -0.13829, nw = 1651 141029.0037.ec.fits: ap = 2, w1 = 10611.52, w2 = 10387.56, dw = -0.13573, nw = 1651 141029.0037.ec.fits: ap = 3, w1 = 10418.6, w2 = 10198.71, dw = -0.13326, nw = 1651 141029.0037.ec.fits: ap = 4, w1 = 10232.57, w2 = 10016.61, dw = -0.13088, nw = 1651 141029.0037.ec.fits: ap = 5, w1 = 10053.06, w2 = 9840.896, dw = -0.12859, nw = 1651 141029.0037.ec.fits: ap = 6, w1 = 9879.747, w2 = 9671.241, dw = -0.12637, nw = 1651 141029.0037.ec.fits: ap = 7, w1 = 9712.307, w2 = 9507.337, dw = -0.12422, nw = 1651 141029.0037.ec.fits: ap = 8, w1 = 9550.448, w2 = 9348.897, dw = -0.12215, nw = 1651 141029.0037.ec.fits: ap = 9, w1 = 9393.896, w2 = 9195.651, dw = -0.12015, nw = 1651 141029.0037.ec.fits: ap = 10, w1 = 9242.395, w2 = 9047.348, dw = -0.11821, nw = 1651 141029.0037.ec.fits: ap = 11, w1 = 9095.702, w2 = 8903.754, dw = -0.11633, nw = 1651 141029.0037.ec.fits: ap = 12, w1 = 8953.594, w2 = 8764.647, dw = -0.11451, nw = 1651 141029.0037.ec.fits: ap = 13, w1 = 8815.858, w2 = 8629.82, dw = -0.11275, nw = 1651 141029.0037.ec.fits: ap = 14, w1 = 8682.296, w2 = 8499.079, dw = -0.11104, nw = 1651 141029.0037.ec.fits: ap = 15, w1 = 8552.72, w2 = 8372.24, dw = -0.10938, nw = 1651 141029.0037.ec.fits: ap = 16, w1 = 8426.956, w2 = 8249.131, dw = -0.10777, nw = 1651 141029.0037.ec.fits: ap = 17, w1 = 8304.836, w2 = 8129.591, dw = -0.10621, nw = 1651 141029.0037.ec.fits: ap = 18, w1 = 8186.206, w2 = 8013.467, dw = -0.10469, nw = 1651 141029.0037.ec.fits: ap = 19, w1 = 8070.918, w2 = 7900.613, dw = -0.10321, nw = 1651 141029.0037.ec.fits: ap = 20, w1 = 7958.832, w2 = 7790.895, dw = -0.10178, nw = 1651 141029.0037.ec.fits: ap = 21, w1 = 7849.817, w2 = 7684.183, dw = -0.10038, nw = 1651 141029.0037.ec.fits: ap = 22, w1 = 7743.748, w2 = 7580.354, dw = -0.09903, nw = 1651 141029.0037.ec.fits: ap = 23, w1 = 7640.508, w2 = 7479.294, dw = -0.09771, nw = 1651 141029.0037.ec.fits: ap = 24, w1 = 7539.984, w2 = 7380.894, dw = -0.09642, nw = 1651 141029.0037.ec.fits: ap = 25, w1 = 7442.072, w2 = 7285.05, dw = -0.09516, nw = 1651 141029.0037.ec.fits: ap = 26, w1 = 7346.67, w2 = 7191.663, dw = -0.09394, nw = 1651 141029.0037.ec.fits: ap = 27, w1 = 7253.683, w2 = 7100.64, dw = -0.09275, nw = 1651 141029.0037.ec.fits: ap = 28, w1 = 7163.021, w2 = 7011.893, dw = -0.09159, nw = 1651 141029.0037.ec.fits: ap = 29, w1 = 7074.597, w2 = 6925.338, dw = -0.09046, nw = 1651 141029.0037.ec.fits: ap = 30, w1 = 6988.331, w2 = 6840.893, dw = -0.08936, nw = 1651 141029.0037.ec.fits: ap = 31, w1 = 6904.143, w2 = 6758.483, dw = -0.08828, nw = 1651 141029.0037.ec.fits: ap = 32, w1 = 6821.959, w2 = 6678.036, dw = -0.08723, nw = 1651 141029.0037.ec.fits: ap = 33, w1 = 6741.709, w2 = 6599.481, dw = -0.0862, nw = 1651 141029.0037.ec.fits: ap = 34, w1 = 6663.326, w2 = 6522.753, dw = -0.0852, nw = 1651 141029.0037.ec.fits: ap = 35, w1 = 6586.744, w2 = 6447.789, dw = -0.08422, nw = 1651 141029.0037.ec.fits: ap = 36, w1 = 6511.903, w2 = 6374.529, dw = -0.08326, nw = 1651 141029.0037.ec.fits: ap = 37, w1 = 6438.744, w2 = 6302.915, dw = -0.08232, nw = 1651 141029.0037.ec.fits: ap = 38, w1 = 6367.211, w2 = 6232.893, dw = -0.0814, nw = 1651 141029.0037.ec.fits: ap = 39, w1 = 6297.25, w2 = 6164.41, dw = -0.08051, nw = 1651 141029.0037.ec.fits: ap = 40, w1 = 6228.809, w2 = 6097.415, dw = -0.07963, nw = 1651 141029.0037.ec.fits: ap = 41, w1 = 6161.841, w2 = 6031.861, dw = -0.07878, nw = 1651 141029.0037.ec.fits: ap = 42, w1 = 6096.298, w2 = 5967.703, dw = -0.07794, nw = 1651 141029.0037.ec.fits: ap = 43, w1 = 6032.134, w2 = 5904.894, dw = -0.07712, nw = 1651 141029.0037.ec.fits: ap = 44, w1 = 5969.308, w2 = 5843.395, dw = -0.07631, nw = 1651 141029.0037.ec.fits: ap = 45, w1 = 5907.776, w2 = 5783.163, dw = -0.07552, nw = 1651 141029.0037.ec.fits: ap = 46, w1 = 5847.501, w2 = 5724.161, dw = -0.07475, nw = 1651 141029.0037.ec.fits: ap = 47, w1 = 5788.443, w2 = 5666.351, dw = -0.074, nw = 1651 141029.0037.ec.fits: ap = 48, w1 = 5730.567, w2 = 5609.697, dw = -0.07325, nw = 1651 141029.0037.ec.fits: ap = 49, w1 = 5673.837, w2 = 5554.165, dw = -0.07253, nw = 1651 141029.0037.ec.fits: ap = 50, w1 = 5618.219, w2 = 5499.722, dw = -0.07182, nw = 1651 141029.0037.ec.fits: ap = 51, w1 = 5563.681, w2 = 5446.336, dw = -0.07112, nw = 1651 141029.0037.ec.fits: ap = 52, w1 = 5510.192, w2 = 5393.977, dw = -0.07043, nw = 1651 141029.0037.ec.fits: ap = 53, w1 = 5457.722, w2 = 5342.615, dw = -0.06976, nw = 1651 141029.0037.ec.fits: ap = 54, w1 = 5406.242, w2 = 5292.223, dw = -0.0691, nw = 1651 141029.0037.ec.fits: ap = 55, w1 = 5355.724, w2 = 5242.772, dw = -0.06846, nw = 1651 141029.0037.ec.fits: ap = 56, w1 = 5306.142, w2 = 5194.238, dw = -0.06782, nw = 1651 141029.0037.ec.fits: ap = 57, w1 = 5257.47, w2 = 5146.593, dw = -0.0672, nw = 1651 141029.0037.ec.fits: ap = 58, w1 = 5209.683, w2 = 5099.816, dw = -0.06659, nw = 1651 141029.0037.ec.fits: ap = 59, w1 = 5162.757, w2 = 5053.881, dw = -0.06599, nw = 1651 141029.0037.ec.fits: ap = 60, w1 = 5116.669, w2 = 5008.767, dw = -0.0654, nw = 1651 141029.0037.ec.fits: ap = 61, w1 = 5071.396, w2 = 4964.451, dw = -0.06482, nw = 1651 141029.0037.ec.fits: ap = 62, w1 = 5026.918, w2 = 4920.912, dw = -0.06425, nw = 1651 141029.0037.ec.fits: ap = 63, w1 = 4983.214, w2 = 4878.131, dw = -0.06369, nw = 1651 141029.0037.ec.fits: ap = 64, w1 = 4940.263, w2 = 4836.088, dw = -0.06314, nw = 1651 141029.0037.ec.fits: ap = 65, w1 = 4898.046, w2 = 4794.763, dw = -0.0626, nw = 1651 141029.0037.ec.fits: ap = 66, w1 = 4856.546, w2 = 4754.139, dw = -0.06206, nw = 1651 141029.0037.ec.fits: ap = 67, w1 = 4815.743, w2 = 4714.198, dw = -0.06154, nw = 1651 141029.0037.ec.fits: ap = 68, w1 = 4775.619, w2 = 4674.923, dw = -0.06103, nw = 1651 141029.0037.ec.fits: ap = 69, w1 = 4736.16, w2 = 4636.297, dw = -0.06052, nw = 1651 141029.0037.ec.fits: ap = 70, w1 = 4697.347, w2 = 4598.304, dw = -0.06003, nw = 1651 141029.0037.ec.fits: ap = 71, w1 = 4659.165, w2 = 4560.93, dw = -0.05954, nw = 1651 141029.0037.ec.fits: ap = 72, w1 = 4621.599, w2 = 4524.158, dw = -0.05906, nw = 1651 141029.0037.ec.fits: ap = 73, w1 = 4584.635, w2 = 4487.974, dw = -0.05858, nw = 1651 141029.0037.ec.fits: ap = 74, w1 = 4548.257, w2 = 4452.365, dw = -0.05812, nw = 1651 141029.0037.ec.fits: ap = 75, w1 = 4512.452, w2 = 4417.317, dw = -0.05766, nw = 1651 141029.0037.ec.fits: ap = 76, w1 = 4477.207, w2 = 4382.817, dw = -0.05721, nw = 1651 141029.0037.ec.fits: ap = 77, w1 = 4442.508, w2 = 4348.852, dw = -0.05676, nw = 1651 141029.0037.ec.fits: ap = 78, w1 = 4408.343, w2 = 4315.409, dw = -0.05632, nw = 1651 141029.0037.ec.fits: ap = 79, w1 = 4374.699, w2 = 4282.477, dw = -0.05589, nw = 1651 141029.0037.ec.fits: ap = 80, w1 = 4341.566, w2 = 4250.044, dw = -0.05547, nw = 1651 141029.0037.ec.fits: ap = 81, w1 = 4308.931, w2 = 4218.099, dw = -0.05505, nw = 1651 141029.0037.ec.fits: ap = 82, w1 = 4276.783, w2 = 4186.631, dw = -0.05464, nw = 1651 141029.0037.ec.fits: ap = 83, w1 = 4245.111, w2 = 4155.629, dw = -0.05423, nw = 1651 141029.0037.ec.fits: ap = 84, w1 = 4213.905, w2 = 4125.084, dw = -0.05383, nw = 1651 141029.0037.ec.fits: ap = 85, w1 = 4183.155, w2 = 4094.984, dw = -0.05344, nw = 1651 141029.0037.ec.fits: ap = 86, w1 = 4152.85, w2 = 4065.32, dw = -0.05305, nw = 1651 141029.0037.ec.fits: ap = 87, w1 = 4122.982, w2 = 4036.085, dw = -0.05267, nw = 1651 141029.0037.ec.fits: ap = 88, w1 = 4093.54, w2 = 4007.266, dw = -0.05229, nw = 1651 141029.0037.ec.fits: ap = 89, w1 = 4064.516, w2 = 3978.857, dw = -0.05192, nw = 1651 141029.0037.ec.fits: ap = 90, w1 = 4035.901, w2 = 3950.847, dw = -0.05155, nw = 1651 141029.0037.ec.fits: ap = 91, w1 = 4007.686, w2 = 3923.23, dw = -0.05119, nw = 1651 141029.0037.ec.fits: ap = 92, w1 = 3979.863, w2 = 3895.996, dw = -0.05083, nw = 1651 141029.0037.ec.fits: ap = 93, w1 = 3952.424, w2 = 3869.138, dw = -0.05048, nw = 1651 141029.0037.ec.fits: ap = 94, w1 = 3925.361, w2 = 3842.648, dw = -0.05013, nw = 1651 141029.0037.ec.fits: ap = 95, w1 = 3898.666, w2 = 3816.519, dw = -0.04979, nw = 1651 141029.0037.ec.fits: ap = 96, w1 = 3872.332, w2 = 3790.743, dw = -0.04945, nw = 1651 141029.0037.ec.fits: ap = 97, w1 = 3846.351, w2 = 3765.313, dw = -0.04911, nw = 1651 141029.0037.ec.fits: ap = 98, w1 = 3820.717, w2 = 3740.223, dw = -0.04878, nw = 1651 141029.0037.ec.fits: ap = 99, w1 = 3795.423, w2 = 3715.464, dw = -0.04846, nw = 1651 141029.0037.ec.fits: ap = 100, w1 = 3770.461, w2 = 3691.032, dw = -0.04814, nw = 1651 141029.0037.ec.fits: ap = 101, w1 = 3745.826, w2 = 3666.919, dw = -0.04782, nw = 1651 141029.0037.ec.fits: ap = 102, w1 = 3721.51, w2 = 3643.12, dw = -0.04751, nw = 1651 141029.0037.ec.fits: ap = 103, w1 = 3697.508, w2 = 3619.628, dw = -0.0472, nw = 1651 141029.0037.ec.fits: ap = 104, w1 = 3673.815, w2 = 3596.437, dw = -0.0469, nw = 1651 141029.0037.ec.fits: ap = 105, w1 = 3650.423, w2 = 3573.542, dw = -0.04659, nw = 1651 141029.0037.ec.fits: ap = 106, w1 = 3627.327, w2 = 3550.937, dw = -0.0463, nw = 1651 141029.0037.ec.fits: ap = 107, w1 = 3604.521, w2 = 3528.616, dw = -0.046, nw = 1651 141029.0037.ec.fits: ap = 108, w1 = 3582.001, w2 = 3506.575, dw = -0.04571, nw = 1651 141029.0037.ec.fits: ap = 109, w1 = 3559.761, w2 = 3484.807, dw = -0.04543, nw = 1651 141029.0037.ec.fits: ap = 110, w1 = 3537.795, w2 = 3463.308, dw = -0.04514, nw = 1651 141029.0037.ec.fits: ap = 111, w1 = 3516.098, w2 = 3442.074, dw = -0.04486, nw = 1651 141029.0037.ec.fits: ap = 112, w1 = 3494.667, w2 = 3421.098, dw = -0.04459, nw = 1651 141029.0037.ec.fits: ap = 113, w1 = 3473.495, w2 = 3400.377, dw = -0.04431, nw = 1651 141029.0037.ec.fits: ap = 114, w1 = 3452.578, w2 = 3379.906, dw = -0.04404, nw = 1651 141029.0037.ec.fits: ap = 115, w1 = 3431.911, w2 = 3359.68, dw = -0.04378, nw = 1651 141029.0038.ec.fits: REFSPEC1 = 'EchelleThAr.0035.ec 0.32500374' 141029.0038.ec.fits: REFSPEC2 = 'EchelleThAr.0040.ec 0.67499626' 141029.0038.ec.fits: ap = 1, w1 = 10811.72, w2 = 10583.54, dw = -0.1383, nw = 1651 141029.0038.ec.fits: ap = 2, w1 = 10611.52, w2 = 10387.56, dw = -0.13573, nw = 1651 141029.0038.ec.fits: ap = 3, w1 = 10418.6, w2 = 10198.72, dw = -0.13326, nw = 1651 141029.0038.ec.fits: ap = 4, w1 = 10232.57, w2 = 10016.61, dw = -0.13088, nw = 1651 141029.0038.ec.fits: ap = 5, w1 = 10053.06, w2 = 9840.899, dw = -0.12859, nw = 1651 141029.0038.ec.fits: ap = 6, w1 = 9879.749, w2 = 9671.244, dw = -0.12637, nw = 1651 141029.0038.ec.fits: ap = 7, w1 = 9712.309, w2 = 9507.34, dw = -0.12422, nw = 1651 141029.0038.ec.fits: ap = 8, w1 = 9550.45, w2 = 9348.9, dw = -0.12215, nw = 1651 141029.0038.ec.fits: ap = 9, w1 = 9393.898, w2 = 9195.654, dw = -0.12015, nw = 1651 141029.0038.ec.fits: ap = 10, w1 = 9242.395, w2 = 9047.352, dw = -0.11821, nw = 1651 141029.0038.ec.fits: ap = 11, w1 = 9095.703, w2 = 8903.757, dw = -0.11633, nw = 1651 141029.0038.ec.fits: ap = 12, w1 = 8953.594, w2 = 8764.65, dw = -0.11451, nw = 1651 141029.0038.ec.fits: ap = 13, w1 = 8815.858, w2 = 8629.823, dw = -0.11275, nw = 1651 141029.0038.ec.fits: ap = 14, w1 = 8682.295, w2 = 8499.082, dw = -0.11104, nw = 1651 141029.0038.ec.fits: ap = 15, w1 = 8552.72, w2 = 8372.243, dw = -0.10938, nw = 1651 141029.0038.ec.fits: ap = 16, w1 = 8426.955, w2 = 8249.134, dw = -0.10777, nw = 1651 141029.0038.ec.fits: ap = 17, w1 = 8304.835, w2 = 8129.594, dw = -0.10621, nw = 1651 141029.0038.ec.fits: ap = 18, w1 = 8186.205, w2 = 8013.469, dw = -0.10469, nw = 1651 141029.0038.ec.fits: ap = 19, w1 = 8070.916, w2 = 7900.616, dw = -0.10321, nw = 1651 141029.0038.ec.fits: ap = 20, w1 = 7958.831, w2 = 7790.897, dw = -0.10178, nw = 1651 141029.0038.ec.fits: ap = 21, w1 = 7849.815, w2 = 7684.184, dw = -0.10038, nw = 1651 141029.0038.ec.fits: ap = 22, w1 = 7743.746, w2 = 7580.356, dw = -0.09902, nw = 1651 141029.0038.ec.fits: ap = 23, w1 = 7640.506, w2 = 7479.296, dw = -0.0977, nw = 1651 141029.0038.ec.fits: ap = 24, w1 = 7539.982, w2 = 7380.895, dw = -0.09642, nw = 1651 141029.0038.ec.fits: ap = 25, w1 = 7442.07, w2 = 7285.051, dw = -0.09516, nw = 1651 141029.0038.ec.fits: ap = 26, w1 = 7346.668, w2 = 7191.664, dw = -0.09394, nw = 1651 141029.0038.ec.fits: ap = 27, w1 = 7253.681, w2 = 7100.641, dw = -0.09275, nw = 1651 141029.0038.ec.fits: ap = 28, w1 = 7163.019, w2 = 7011.894, dw = -0.09159, nw = 1651 141029.0038.ec.fits: ap = 29, w1 = 7074.596, w2 = 6925.338, dw = -0.09046, nw = 1651 141029.0038.ec.fits: ap = 30, w1 = 6988.329, w2 = 6840.893, dw = -0.08936, nw = 1651 141029.0038.ec.fits: ap = 31, w1 = 6904.141, w2 = 6758.483, dw = -0.08828, nw = 1651 141029.0038.ec.fits: ap = 32, w1 = 6821.957, w2 = 6678.035, dw = -0.08723, nw = 1651 141029.0038.ec.fits: ap = 33, w1 = 6741.708, w2 = 6599.481, dw = -0.0862, nw = 1651 141029.0038.ec.fits: ap = 34, w1 = 6663.324, w2 = 6522.753, dw = -0.08519, nw = 1651 141029.0038.ec.fits: ap = 35, w1 = 6586.743, w2 = 6447.789, dw = -0.08421, nw = 1651 141029.0038.ec.fits: ap = 36, w1 = 6511.902, w2 = 6374.528, dw = -0.08326, nw = 1651 141029.0038.ec.fits: ap = 37, w1 = 6438.743, w2 = 6302.915, dw = -0.08232, nw = 1651 141029.0038.ec.fits: ap = 38, w1 = 6367.21, w2 = 6232.892, dw = -0.0814, nw = 1651 141029.0038.ec.fits: ap = 39, w1 = 6297.249, w2 = 6164.409, dw = -0.08051, nw = 1651 141029.0038.ec.fits: ap = 40, w1 = 6228.809, w2 = 6097.414, dw = -0.07963, nw = 1651 141029.0038.ec.fits: ap = 41, w1 = 6161.841, w2 = 6031.86, dw = -0.07878, nw = 1651 141029.0038.ec.fits: ap = 42, w1 = 6096.297, w2 = 5967.702, dw = -0.07794, nw = 1651 141029.0038.ec.fits: ap = 43, w1 = 6032.134, w2 = 5904.893, dw = -0.07712, nw = 1651 141029.0038.ec.fits: ap = 44, w1 = 5969.308, w2 = 5843.394, dw = -0.07631, nw = 1651 141029.0038.ec.fits: ap = 45, w1 = 5907.777, w2 = 5783.162, dw = -0.07552, nw = 1651 141029.0038.ec.fits: ap = 46, w1 = 5847.501, w2 = 5724.16, dw = -0.07475, nw = 1651 141029.0038.ec.fits: ap = 47, w1 = 5788.444, w2 = 5666.35, dw = -0.074, nw = 1651 141029.0038.ec.fits: ap = 48, w1 = 5730.567, w2 = 5609.696, dw = -0.07326, nw = 1651 141029.0038.ec.fits: ap = 49, w1 = 5673.837, w2 = 5554.164, dw = -0.07253, nw = 1651 141029.0038.ec.fits: ap = 50, w1 = 5618.22, w2 = 5499.721, dw = -0.07182, nw = 1651 141029.0038.ec.fits: ap = 51, w1 = 5563.682, w2 = 5446.336, dw = -0.07112, nw = 1651 141029.0038.ec.fits: ap = 52, w1 = 5510.193, w2 = 5393.977, dw = -0.07043, nw = 1651 141029.0038.ec.fits: ap = 53, w1 = 5457.723, w2 = 5342.615, dw = -0.06976, nw = 1651 141029.0038.ec.fits: ap = 54, w1 = 5406.243, w2 = 5292.222, dw = -0.0691, nw = 1651 141029.0038.ec.fits: ap = 55, w1 = 5355.726, w2 = 5242.772, dw = -0.06846, nw = 1651 141029.0038.ec.fits: ap = 56, w1 = 5306.144, w2 = 5194.237, dw = -0.06782, nw = 1651 141029.0038.ec.fits: ap = 57, w1 = 5257.472, w2 = 5146.594, dw = -0.0672, nw = 1651 141029.0038.ec.fits: ap = 58, w1 = 5209.684, w2 = 5099.816, dw = -0.06659, nw = 1651 141029.0038.ec.fits: ap = 59, w1 = 5162.758, w2 = 5053.881, dw = -0.06599, nw = 1651 141029.0038.ec.fits: ap = 60, w1 = 5116.67, w2 = 5008.767, dw = -0.0654, nw = 1651 141029.0038.ec.fits: ap = 61, w1 = 5071.398, w2 = 4964.451, dw = -0.06482, nw = 1651 141029.0038.ec.fits: ap = 62, w1 = 5026.92, w2 = 4920.913, dw = -0.06425, nw = 1651 141029.0038.ec.fits: ap = 63, w1 = 4983.216, w2 = 4878.132, dw = -0.06369, nw = 1651 141029.0038.ec.fits: ap = 64, w1 = 4940.265, w2 = 4836.089, dw = -0.06314, nw = 1651 141029.0038.ec.fits: ap = 65, w1 = 4898.049, w2 = 4794.764, dw = -0.0626, nw = 1651 141029.0038.ec.fits: ap = 66, w1 = 4856.548, w2 = 4754.14, dw = -0.06207, nw = 1651 141029.0038.ec.fits: ap = 67, w1 = 4815.745, w2 = 4714.199, dw = -0.06154, nw = 1651 141029.0038.ec.fits: ap = 68, w1 = 4775.621, w2 = 4674.924, dw = -0.06103, nw = 1651 141029.0038.ec.fits: ap = 69, w1 = 4736.161, w2 = 4636.298, dw = -0.06052, nw = 1651 141029.0038.ec.fits: ap = 70, w1 = 4697.349, w2 = 4598.305, dw = -0.06003, nw = 1651 141029.0038.ec.fits: ap = 71, w1 = 4659.167, w2 = 4560.931, dw = -0.05954, nw = 1651 141029.0038.ec.fits: ap = 72, w1 = 4621.601, w2 = 4524.159, dw = -0.05906, nw = 1651 141029.0038.ec.fits: ap = 73, w1 = 4584.636, w2 = 4487.975, dw = -0.05858, nw = 1651 141029.0038.ec.fits: ap = 74, w1 = 4548.258, w2 = 4452.366, dw = -0.05812, nw = 1651 141029.0038.ec.fits: ap = 75, w1 = 4512.453, w2 = 4417.318, dw = -0.05766, nw = 1651 141029.0038.ec.fits: ap = 76, w1 = 4477.207, w2 = 4382.818, dw = -0.05721, nw = 1651 141029.0038.ec.fits: ap = 77, w1 = 4442.508, w2 = 4348.852, dw = -0.05676, nw = 1651 141029.0038.ec.fits: ap = 78, w1 = 4408.343, w2 = 4315.41, dw = -0.05632, nw = 1651 141029.0038.ec.fits: ap = 79, w1 = 4374.699, w2 = 4282.478, dw = -0.05589, nw = 1651 141029.0038.ec.fits: ap = 80, w1 = 4341.565, w2 = 4250.044, dw = -0.05547, nw = 1651 141029.0038.ec.fits: ap = 81, w1 = 4308.93, w2 = 4218.099, dw = -0.05505, nw = 1651 141029.0038.ec.fits: ap = 82, w1 = 4276.781, w2 = 4186.631, dw = -0.05464, nw = 1651 141029.0038.ec.fits: ap = 83, w1 = 4245.109, w2 = 4155.629, dw = -0.05423, nw = 1651 141029.0038.ec.fits: ap = 84, w1 = 4213.903, w2 = 4125.083, dw = -0.05383, nw = 1651 141029.0038.ec.fits: ap = 85, w1 = 4183.152, w2 = 4094.983, dw = -0.05344, nw = 1651 141029.0038.ec.fits: ap = 86, w1 = 4152.847, w2 = 4065.319, dw = -0.05305, nw = 1651 141029.0038.ec.fits: ap = 87, w1 = 4122.978, w2 = 4036.082, dw = -0.05266, nw = 1651 141029.0038.ec.fits: ap = 88, w1 = 4093.536, w2 = 4007.263, dw = -0.05229, nw = 1651 141029.0038.ec.fits: ap = 89, w1 = 4064.511, w2 = 3978.853, dw = -0.05191, nw = 1651 141029.0038.ec.fits: ap = 90, w1 = 4035.895, w2 = 3950.843, dw = -0.05155, nw = 1651 141029.0038.ec.fits: ap = 91, w1 = 4007.68, w2 = 3923.225, dw = -0.05118, nw = 1651 141029.0038.ec.fits: ap = 92, w1 = 3979.856, w2 = 3895.991, dw = -0.05083, nw = 1651 141029.0038.ec.fits: ap = 93, w1 = 3952.416, w2 = 3869.132, dw = -0.05047, nw = 1651 141029.0038.ec.fits: ap = 94, w1 = 3925.352, w2 = 3842.642, dw = -0.05013, nw = 1651 141029.0038.ec.fits: ap = 95, w1 = 3898.656, w2 = 3816.512, dw = -0.04978, nw = 1651 141029.0038.ec.fits: ap = 96, w1 = 3872.321, w2 = 3790.735, dw = -0.04945, nw = 1651 141029.0038.ec.fits: ap = 97, w1 = 3846.339, w2 = 3765.304, dw = -0.04911, nw = 1651 141029.0038.ec.fits: ap = 98, w1 = 3820.704, w2 = 3740.212, dw = -0.04878, nw = 1651 141029.0038.ec.fits: ap = 99, w1 = 3795.408, w2 = 3715.453, dw = -0.04846, nw = 1651 141029.0038.ec.fits: ap = 100, w1 = 3770.446, w2 = 3691.02, dw = -0.04814, nw = 1651 141029.0038.ec.fits: ap = 101, w1 = 3745.809, w2 = 3666.906, dw = -0.04782, nw = 1651 141029.0038.ec.fits: ap = 102, w1 = 3721.492, w2 = 3643.105, dw = -0.04751, nw = 1651 141029.0038.ec.fits: ap = 103, w1 = 3697.489, w2 = 3619.612, dw = -0.0472, nw = 1651 141029.0038.ec.fits: ap = 104, w1 = 3673.794, w2 = 3596.42, dw = -0.04689, nw = 1651 141029.0038.ec.fits: ap = 105, w1 = 3650.401, w2 = 3573.523, dw = -0.04659, nw = 1651 141029.0038.ec.fits: ap = 106, w1 = 3627.303, w2 = 3550.916, dw = -0.0463, nw = 1651 141029.0038.ec.fits: ap = 107, w1 = 3604.497, w2 = 3528.594, dw = -0.046, nw = 1651 141029.0038.ec.fits: ap = 108, w1 = 3581.975, w2 = 3506.551, dw = -0.04571, nw = 1651 141029.0038.ec.fits: ap = 109, w1 = 3559.733, w2 = 3484.781, dw = -0.04542, nw = 1651 141029.0038.ec.fits: ap = 110, w1 = 3537.765, w2 = 3463.281, dw = -0.04514, nw = 1651 141029.0038.ec.fits: ap = 111, w1 = 3516.067, w2 = 3442.044, dw = -0.04486, nw = 1651 141029.0038.ec.fits: ap = 112, w1 = 3494.634, w2 = 3421.067, dw = -0.04459, nw = 1651 141029.0038.ec.fits: ap = 113, w1 = 3473.46, w2 = 3400.344, dw = -0.04431, nw = 1651 141029.0038.ec.fits: ap = 114, w1 = 3452.541, w2 = 3379.87, dw = -0.04404, nw = 1651 141029.0038.ec.fits: ap = 115, w1 = 3431.873, w2 = 3359.642, dw = -0.04378, nw = 1651 141029.0039.ec.fits: REFSPEC1 = 'EchelleThAr.0035.ec 0.10570491' 141029.0039.ec.fits: REFSPEC2 = 'EchelleThAr.0040.ec 0.8942951' 141029.0039.ec.fits: ap = 1, w1 = 10811.73, w2 = 10583.54, dw = -0.1383, nw = 1651 141029.0039.ec.fits: ap = 2, w1 = 10611.53, w2 = 10387.56, dw = -0.13573, nw = 1651 141029.0039.ec.fits: ap = 3, w1 = 10418.6, w2 = 10198.72, dw = -0.13326, nw = 1651 141029.0039.ec.fits: ap = 4, w1 = 10232.57, w2 = 10016.61, dw = -0.13088, nw = 1651 141029.0039.ec.fits: ap = 5, w1 = 10053.07, w2 = 9840.901, dw = -0.12859, nw = 1651 141029.0039.ec.fits: ap = 6, w1 = 9879.751, w2 = 9671.247, dw = -0.12637, nw = 1651 141029.0039.ec.fits: ap = 7, w1 = 9712.311, w2 = 9507.343, dw = -0.12422, nw = 1651 141029.0039.ec.fits: ap = 8, w1 = 9550.451, w2 = 9348.903, dw = -0.12215, nw = 1651 141029.0039.ec.fits: ap = 9, w1 = 9393.899, w2 = 9195.657, dw = -0.12015, nw = 1651 141029.0039.ec.fits: ap = 10, w1 = 9242.396, w2 = 9047.355, dw = -0.11821, nw = 1651 141029.0039.ec.fits: ap = 11, w1 = 9095.703, w2 = 8903.76, dw = -0.11633, nw = 1651 141029.0039.ec.fits: ap = 12, w1 = 8953.594, w2 = 8764.653, dw = -0.11451, nw = 1651 141029.0039.ec.fits: ap = 13, w1 = 8815.857, w2 = 8629.826, dw = -0.11275, nw = 1651 141029.0039.ec.fits: ap = 14, w1 = 8682.295, w2 = 8499.084, dw = -0.11104, nw = 1651 141029.0039.ec.fits: ap = 15, w1 = 8552.719, w2 = 8372.245, dw = -0.10938, nw = 1651 141029.0039.ec.fits: ap = 16, w1 = 8426.954, w2 = 8249.137, dw = -0.10777, nw = 1651 141029.0039.ec.fits: ap = 17, w1 = 8304.835, w2 = 8129.596, dw = -0.10621, nw = 1651 141029.0039.ec.fits: ap = 18, w1 = 8186.204, w2 = 8013.471, dw = -0.10469, nw = 1651 141029.0039.ec.fits: ap = 19, w1 = 8070.916, w2 = 7900.618, dw = -0.10321, nw = 1651 141029.0039.ec.fits: ap = 20, w1 = 7958.829, w2 = 7790.899, dw = -0.10178, nw = 1651 141029.0039.ec.fits: ap = 21, w1 = 7849.814, w2 = 7684.186, dw = -0.10038, nw = 1651 141029.0039.ec.fits: ap = 22, w1 = 7743.745, w2 = 7580.357, dw = -0.09902, nw = 1651 141029.0039.ec.fits: ap = 23, w1 = 7640.505, w2 = 7479.297, dw = -0.0977, nw = 1651 141029.0039.ec.fits: ap = 24, w1 = 7539.981, w2 = 7380.896, dw = -0.09641, nw = 1651 141029.0039.ec.fits: ap = 25, w1 = 7442.068, w2 = 7285.051, dw = -0.09516, nw = 1651 141029.0039.ec.fits: ap = 26, w1 = 7346.666, w2 = 7191.664, dw = -0.09394, nw = 1651 141029.0039.ec.fits: ap = 27, w1 = 7253.68, w2 = 7100.641, dw = -0.09275, nw = 1651 141029.0039.ec.fits: ap = 28, w1 = 7163.018, w2 = 7011.894, dw = -0.09159, nw = 1651 141029.0039.ec.fits: ap = 29, w1 = 7074.594, w2 = 6925.338, dw = -0.09046, nw = 1651 141029.0039.ec.fits: ap = 30, w1 = 6988.327, w2 = 6840.893, dw = -0.08935, nw = 1651 141029.0039.ec.fits: ap = 31, w1 = 6904.14, w2 = 6758.483, dw = -0.08828, nw = 1651 141029.0039.ec.fits: ap = 32, w1 = 6821.956, w2 = 6678.035, dw = -0.08722, nw = 1651 141029.0039.ec.fits: ap = 33, w1 = 6741.706, w2 = 6599.48, dw = -0.0862, nw = 1651 141029.0039.ec.fits: ap = 34, w1 = 6663.323, w2 = 6522.752, dw = -0.08519, nw = 1651 141029.0039.ec.fits: ap = 35, w1 = 6586.742, w2 = 6447.788, dw = -0.08421, nw = 1651 141029.0039.ec.fits: ap = 36, w1 = 6511.901, w2 = 6374.528, dw = -0.08326, nw = 1651 141029.0039.ec.fits: ap = 37, w1 = 6438.742, w2 = 6302.914, dw = -0.08232, nw = 1651 141029.0039.ec.fits: ap = 38, w1 = 6367.209, w2 = 6232.891, dw = -0.0814, nw = 1651 141029.0039.ec.fits: ap = 39, w1 = 6297.248, w2 = 6164.408, dw = -0.08051, nw = 1651 141029.0039.ec.fits: ap = 40, w1 = 6228.808, w2 = 6097.413, dw = -0.07963, nw = 1651 141029.0039.ec.fits: ap = 41, w1 = 6161.84, w2 = 6031.86, dw = -0.07878, nw = 1651 141029.0039.ec.fits: ap = 42, w1 = 6096.297, w2 = 5967.701, dw = -0.07794, nw = 1651 141029.0039.ec.fits: ap = 43, w1 = 6032.134, w2 = 5904.893, dw = -0.07712, nw = 1651 141029.0039.ec.fits: ap = 44, w1 = 5969.307, w2 = 5843.393, dw = -0.07631, nw = 1651 141029.0039.ec.fits: ap = 45, w1 = 5907.777, w2 = 5783.162, dw = -0.07552, nw = 1651 141029.0039.ec.fits: ap = 46, w1 = 5847.501, w2 = 5724.159, dw = -0.07475, nw = 1651 141029.0039.ec.fits: ap = 47, w1 = 5788.444, w2 = 5666.349, dw = -0.074, nw = 1651 141029.0039.ec.fits: ap = 48, w1 = 5730.568, w2 = 5609.696, dw = -0.07326, nw = 1651 141029.0039.ec.fits: ap = 49, w1 = 5673.838, w2 = 5554.164, dw = -0.07253, nw = 1651 141029.0039.ec.fits: ap = 50, w1 = 5618.22, w2 = 5499.721, dw = -0.07182, nw = 1651 141029.0039.ec.fits: ap = 51, w1 = 5563.683, w2 = 5446.335, dw = -0.07112, nw = 1651 141029.0039.ec.fits: ap = 52, w1 = 5510.194, w2 = 5393.976, dw = -0.07044, nw = 1651 141029.0039.ec.fits: ap = 53, w1 = 5457.724, w2 = 5342.615, dw = -0.06976, nw = 1651 141029.0039.ec.fits: ap = 54, w1 = 5406.244, w2 = 5292.222, dw = -0.0691, nw = 1651 141029.0039.ec.fits: ap = 55, w1 = 5355.727, w2 = 5242.772, dw = -0.06846, nw = 1651 141029.0039.ec.fits: ap = 56, w1 = 5306.145, w2 = 5194.237, dw = -0.06782, nw = 1651 141029.0039.ec.fits: ap = 57, w1 = 5257.473, w2 = 5146.594, dw = -0.0672, nw = 1651 141029.0039.ec.fits: ap = 58, w1 = 5209.686, w2 = 5099.816, dw = -0.06659, nw = 1651 141029.0039.ec.fits: ap = 59, w1 = 5162.76, w2 = 5053.881, dw = -0.06599, nw = 1651 141029.0039.ec.fits: ap = 60, w1 = 5116.672, w2 = 5008.767, dw = -0.0654, nw = 1651 141029.0039.ec.fits: ap = 61, w1 = 5071.4, w2 = 4964.452, dw = -0.06482, nw = 1651 141029.0039.ec.fits: ap = 62, w1 = 5026.922, w2 = 4920.913, dw = -0.06425, nw = 1651 141029.0039.ec.fits: ap = 63, w1 = 4983.218, w2 = 4878.133, dw = -0.06369, nw = 1651 141029.0039.ec.fits: ap = 64, w1 = 4940.267, w2 = 4836.089, dw = -0.06314, nw = 1651 141029.0039.ec.fits: ap = 65, w1 = 4898.05, w2 = 4794.765, dw = -0.0626, nw = 1651 141029.0039.ec.fits: ap = 66, w1 = 4856.55, w2 = 4754.141, dw = -0.06207, nw = 1651 141029.0039.ec.fits: ap = 67, w1 = 4815.746, w2 = 4714.2, dw = -0.06154, nw = 1651 141029.0039.ec.fits: ap = 68, w1 = 4775.623, w2 = 4674.925, dw = -0.06103, nw = 1651 141029.0039.ec.fits: ap = 69, w1 = 4736.163, w2 = 4636.299, dw = -0.06052, nw = 1651 141029.0039.ec.fits: ap = 70, w1 = 4697.35, w2 = 4598.306, dw = -0.06003, nw = 1651 141029.0039.ec.fits: ap = 71, w1 = 4659.168, w2 = 4560.932, dw = -0.05954, nw = 1651 141029.0039.ec.fits: ap = 72, w1 = 4621.602, w2 = 4524.16, dw = -0.05906, nw = 1651 141029.0039.ec.fits: ap = 73, w1 = 4584.637, w2 = 4487.976, dw = -0.05858, nw = 1651 141029.0039.ec.fits: ap = 74, w1 = 4548.259, w2 = 4452.367, dw = -0.05812, nw = 1651 141029.0039.ec.fits: ap = 75, w1 = 4512.453, w2 = 4417.319, dw = -0.05766, nw = 1651 141029.0039.ec.fits: ap = 76, w1 = 4477.208, w2 = 4382.819, dw = -0.05721, nw = 1651 141029.0039.ec.fits: ap = 77, w1 = 4442.508, w2 = 4348.853, dw = -0.05676, nw = 1651 141029.0039.ec.fits: ap = 78, w1 = 4408.343, w2 = 4315.41, dw = -0.05632, nw = 1651 141029.0039.ec.fits: ap = 79, w1 = 4374.699, w2 = 4282.478, dw = -0.05589, nw = 1651 141029.0039.ec.fits: ap = 80, w1 = 4341.565, w2 = 4250.045, dw = -0.05547, nw = 1651 141029.0039.ec.fits: ap = 81, w1 = 4308.929, w2 = 4218.099, dw = -0.05505, nw = 1651 141029.0039.ec.fits: ap = 82, w1 = 4276.78, w2 = 4186.631, dw = -0.05464, nw = 1651 141029.0039.ec.fits: ap = 83, w1 = 4245.107, w2 = 4155.628, dw = -0.05423, nw = 1651 141029.0039.ec.fits: ap = 84, w1 = 4213.901, w2 = 4125.082, dw = -0.05383, nw = 1651 141029.0039.ec.fits: ap = 85, w1 = 4183.149, w2 = 4094.982, dw = -0.05343, nw = 1651 141029.0039.ec.fits: ap = 86, w1 = 4152.844, w2 = 4065.318, dw = -0.05305, nw = 1651 141029.0039.ec.fits: ap = 87, w1 = 4122.975, w2 = 4036.081, dw = -0.05266, nw = 1651 141029.0039.ec.fits: ap = 88, w1 = 4093.532, w2 = 4007.261, dw = -0.05229, nw = 1651 141029.0039.ec.fits: ap = 89, w1 = 4064.506, w2 = 3978.851, dw = -0.05191, nw = 1651 141029.0039.ec.fits: ap = 90, w1 = 4035.89, w2 = 3950.84, dw = -0.05155, nw = 1651 141029.0039.ec.fits: ap = 91, w1 = 4007.674, w2 = 3923.222, dw = -0.05118, nw = 1651 141029.0039.ec.fits: ap = 92, w1 = 3979.849, w2 = 3895.987, dw = -0.05083, nw = 1651 141029.0039.ec.fits: ap = 93, w1 = 3952.409, w2 = 3869.128, dw = -0.05047, nw = 1651 141029.0039.ec.fits: ap = 94, w1 = 3925.344, w2 = 3842.636, dw = -0.05013, nw = 1651 141029.0039.ec.fits: ap = 95, w1 = 3898.647, w2 = 3816.505, dw = -0.04978, nw = 1651 141029.0039.ec.fits: ap = 96, w1 = 3872.311, w2 = 3790.728, dw = -0.04944, nw = 1651 141029.0039.ec.fits: ap = 97, w1 = 3846.329, w2 = 3765.296, dw = -0.04911, nw = 1651 141029.0039.ec.fits: ap = 98, w1 = 3820.693, w2 = 3740.204, dw = -0.04878, nw = 1651 141029.0039.ec.fits: ap = 99, w1 = 3795.396, w2 = 3715.444, dw = -0.04846, nw = 1651 141029.0039.ec.fits: ap = 100, w1 = 3770.433, w2 = 3691.009, dw = -0.04814, nw = 1651 141029.0039.ec.fits: ap = 101, w1 = 3745.795, w2 = 3666.894, dw = -0.04782, nw = 1651 141029.0039.ec.fits: ap = 102, w1 = 3721.477, w2 = 3643.093, dw = -0.04751, nw = 1651 141029.0039.ec.fits: ap = 103, w1 = 3697.473, w2 = 3619.598, dw = -0.0472, nw = 1651 141029.0039.ec.fits: ap = 104, w1 = 3673.777, w2 = 3596.405, dw = -0.04689, nw = 1651 141029.0039.ec.fits: ap = 105, w1 = 3650.382, w2 = 3573.507, dw = -0.04659, nw = 1651 141029.0039.ec.fits: ap = 106, w1 = 3627.284, w2 = 3550.899, dw = -0.04629, nw = 1651 141029.0039.ec.fits: ap = 107, w1 = 3604.476, w2 = 3528.575, dw = -0.046, nw = 1651 141029.0039.ec.fits: ap = 108, w1 = 3581.953, w2 = 3506.531, dw = -0.04571, nw = 1651 141029.0039.ec.fits: ap = 109, w1 = 3559.709, w2 = 3484.76, dw = -0.04542, nw = 1651 141029.0039.ec.fits: ap = 110, w1 = 3537.74, w2 = 3463.258, dw = -0.04514, nw = 1651 141029.0039.ec.fits: ap = 111, w1 = 3516.041, w2 = 3442.02, dw = -0.04486, nw = 1651 141029.0039.ec.fits: ap = 112, w1 = 3494.606, w2 = 3421.04, dw = -0.04459, nw = 1651 141029.0039.ec.fits: ap = 113, w1 = 3473.43, w2 = 3400.315, dw = -0.04431, nw = 1651 141029.0039.ec.fits: ap = 114, w1 = 3452.51, w2 = 3379.84, dw = -0.04404, nw = 1651 141029.0039.ec.fits: ap = 115, w1 = 3431.84, w2 = 3359.61, dw = -0.04378, nw = 1651 EchelleThAr.0017.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' zEchelleThAr.0017.ec.fits: ap = 1, w1 = 10811.61, w2 = 10583.45, dw = -0.13827, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 2, w1 = 10611.42, w2 = 10387.5, dw = -0.13571, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 3, w1 = 10418.52, w2 = 10198.67, dw = -0.13324, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 4, w1 = 10232.5, w2 = 10016.58, dw = -0.13086, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 5, w1 = 10053., w2 = 9840.879, dw = -0.12856, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 6, w1 = 9879.699, w2 = 9671.235, dw = -0.12634, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 7, w1 = 9712.268, w2 = 9507.341, dw = -0.1242, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 8, w1 = 9550.417, w2 = 9348.908, dw = -0.12213, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 9, w1 = 9393.872, w2 = 9195.67, dw = -0.12012, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 10, w1 = 9242.376, w2 = 9047.373, dw = -0.11818, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 11, w1 = 9095.689, w2 = 8903.783, dw = -0.11631, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 12, w1 = 8953.585, w2 = 8764.68, dw = -0.11449, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 13, w1 = 8815.852, w2 = 8629.856, dw = -0.11273, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 14, w1 = 8682.293, w2 = 8499.117, dw = -0.11102, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 15, w1 = 8552.72, w2 = 8372.28, dw = -0.10936, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 16, w1 = 8426.958, w2 = 8249.173, dw = -0.10775, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 17, w1 = 8304.84, w2 = 8129.633, dw = -0.10619, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 18, w1 = 8186.212, w2 = 8013.509, dw = -0.10467, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 19, w1 = 8070.924, w2 = 7900.655, dw = -0.10319, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 20, w1 = 7958.838, w2 = 7790.936, dw = -0.10176, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 21, w1 = 7849.823, w2 = 7684.222, dw = -0.10036, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 22, w1 = 7743.754, w2 = 7580.393, dw = -0.09901, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 23, w1 = 7640.514, w2 = 7479.332, dw = -0.09769, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 24, w1 = 7539.99, w2 = 7380.93, dw = -0.0964, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 25, w1 = 7442.077, w2 = 7285.084, dw = -0.09515, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 26, w1 = 7346.674, w2 = 7191.695, dw = -0.09393, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 27, w1 = 7253.686, w2 = 7100.67, dw = -0.09274, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 28, w1 = 7163.023, w2 = 7011.921, dw = -0.09158, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 29, w1 = 7074.599, w2 = 6925.364, dw = -0.09045, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 30, w1 = 6988.331, w2 = 6840.917, dw = -0.08934, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 31, w1 = 6904.142, w2 = 6758.505, dw = -0.08826, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 32, w1 = 6821.957, w2 = 6678.056, dw = -0.08721, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 33, w1 = 6741.706, w2 = 6599.499, dw = -0.08619, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 34, w1 = 6663.322, w2 = 6522.77, dw = -0.08518, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 35, w1 = 6586.739, w2 = 6447.804, dw = -0.0842, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 36, w1 = 6511.897, w2 = 6374.542, dw = -0.08325, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 37, w1 = 6438.737, w2 = 6302.927, dw = -0.08231, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 38, w1 = 6367.203, w2 = 6232.903, dw = -0.08139, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 39, w1 = 6297.241, w2 = 6164.419, dw = -0.0805, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 40, w1 = 6228.8, w2 = 6097.423, dw = -0.07962, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 41, w1 = 6161.831, w2 = 6031.868, dw = -0.07877, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 42, w1 = 6096.287, w2 = 5967.709, dw = -0.07793, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 43, w1 = 6032.123, w2 = 5904.9, dw = -0.07711, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 44, w1 = 5969.296, w2 = 5843.4, dw = -0.0763, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 45, w1 = 5907.765, w2 = 5783.168, dw = -0.07551, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 46, w1 = 5847.489, w2 = 5724.165, dw = -0.07474, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 47, w1 = 5788.431, w2 = 5666.355, dw = -0.07399, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 48, w1 = 5730.555, w2 = 5609.701, dw = -0.07325, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 49, w1 = 5673.825, w2 = 5554.169, dw = -0.07252, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 50, w1 = 5618.208, w2 = 5499.726, dw = -0.07181, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 51, w1 = 5563.67, w2 = 5446.341, dw = -0.07111, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 52, w1 = 5510.182, w2 = 5393.982, dw = -0.07042, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 53, w1 = 5457.712, w2 = 5342.621, dw = -0.06975, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 54, w1 = 5406.233, w2 = 5292.229, dw = -0.06909, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 55, w1 = 5355.717, w2 = 5242.779, dw = -0.06845, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 56, w1 = 5306.136, w2 = 5194.245, dw = -0.06781, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 57, w1 = 5257.465, w2 = 5146.602, dw = -0.06719, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 58, w1 = 5209.679, w2 = 5099.825, dw = -0.06658, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 59, w1 = 5162.754, w2 = 5053.892, dw = -0.06598, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 60, w1 = 5116.668, w2 = 5008.778, dw = -0.06539, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 61, w1 = 5071.397, w2 = 4964.464, dw = -0.06481, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 62, w1 = 5026.921, w2 = 4920.926, dw = -0.06424, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 63, w1 = 4983.219, w2 = 4878.147, dw = -0.06368, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 64, w1 = 4940.27, w2 = 4836.104, dw = -0.06313, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 65, w1 = 4898.056, w2 = 4794.781, dw = -0.06259, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 66, w1 = 4856.557, w2 = 4754.158, dw = -0.06206, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 67, w1 = 4815.756, w2 = 4714.218, dw = -0.06154, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 68, w1 = 4775.635, w2 = 4674.944, dw = -0.06102, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 69, w1 = 4736.178, w2 = 4636.319, dw = -0.06052, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 70, w1 = 4697.367, w2 = 4598.327, dw = -0.06002, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 71, w1 = 4659.188, w2 = 4560.953, dw = -0.05954, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 72, w1 = 4621.625, w2 = 4524.182, dw = -0.05906, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 73, w1 = 4584.663, w2 = 4487.999, dw = -0.05858, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 74, w1 = 4548.288, w2 = 4452.391, dw = -0.05812, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 75, w1 = 4512.486, w2 = 4417.343, dw = -0.05766, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 76, w1 = 4477.244, w2 = 4382.843, dw = -0.05721, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 77, w1 = 4442.548, w2 = 4348.878, dw = -0.05677, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 78, w1 = 4408.386, w2 = 4315.435, dw = -0.05633, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 79, w1 = 4374.745, w2 = 4282.503, dw = -0.0559, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 80, w1 = 4341.615, w2 = 4250.069, dw = -0.05548, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 81, w1 = 4308.983, w2 = 4218.123, dw = -0.05507, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 82, w1 = 4276.838, w2 = 4186.654, dw = -0.05466, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 83, w1 = 4245.169, w2 = 4155.651, dw = -0.05425, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 84, w1 = 4213.966, w2 = 4125.103, dw = -0.05386, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 85, w1 = 4183.219, w2 = 4095.002, dw = -0.05347, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 86, w1 = 4152.918, w2 = 4065.336, dw = -0.05308, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 87, w1 = 4123.052, w2 = 4036.097, dw = -0.0527, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 88, w1 = 4093.613, w2 = 4007.276, dw = -0.05233, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 89, w1 = 4064.592, w2 = 3978.863, dw = -0.05196, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 90, w1 = 4035.98, w2 = 3950.849, dw = -0.05159, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 91, w1 = 4007.768, w2 = 3923.228, dw = -0.05124, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 92, w1 = 3979.948, w2 = 3895.989, dw = -0.05088, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 93, w1 = 3952.511, w2 = 3869.126, dw = -0.05054, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 94, w1 = 3925.451, w2 = 3842.631, dw = -0.05019, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 95, w1 = 3898.758, w2 = 3816.496, dw = -0.04986, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 96, w1 = 3872.426, w2 = 3790.713, dw = -0.04952, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 97, w1 = 3846.448, w2 = 3765.276, dw = -0.0492, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 98, w1 = 3820.816, w2 = 3740.177, dw = -0.04887, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 99, w1 = 3795.523, w2 = 3715.411, dw = -0.04855, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 100, w1 = 3770.563, w2 = 3690.97, dw = -0.04824, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 101, w1 = 3745.93, w2 = 3666.848, dw = -0.04793, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 102, w1 = 3721.616, w2 = 3643.038, dw = -0.04762, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 103, w1 = 3697.616, w2 = 3619.535, dw = -0.04732, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 104, w1 = 3673.923, w2 = 3596.333, dw = -0.04702, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 105, w1 = 3650.532, w2 = 3573.426, dw = -0.04673, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 106, w1 = 3627.437, w2 = 3550.808, dw = -0.04644, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 107, w1 = 3604.632, w2 = 3528.474, dw = -0.04616, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 108, w1 = 3582.113, w2 = 3506.418, dw = -0.04588, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 109, w1 = 3559.872, w2 = 3484.636, dw = -0.0456, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 110, w1 = 3537.906, w2 = 3463.121, dw = -0.04532, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 111, w1 = 3516.21, w2 = 3441.87, dw = -0.04505, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 112, w1 = 3494.778, w2 = 3420.877, dw = -0.04479, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 113, w1 = 3473.605, w2 = 3400.138, dw = -0.04453, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 114, w1 = 3452.687, w2 = 3379.647, dw = -0.04427, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 115, w1 = 3432.02, w2 = 3359.401, dw = -0.04401, nw = 1651 EchelleThAr.0018.ec.fits: REFSPEC1 = 'EchelleThAr.0018.ec 1.' zEchelleThAr.0018.ec.fits: ap = 1, w1 = 10811.73, w2 = 10583.58, dw = -0.13827, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 2, w1 = 10611.52, w2 = 10387.6, dw = -0.13571, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 3, w1 = 10418.6, w2 = 10198.75, dw = -0.13324, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 4, w1 = 10232.57, w2 = 10016.65, dw = -0.13086, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 5, w1 = 10053.06, w2 = 9840.934, dw = -0.12856, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 6, w1 = 9879.747, w2 = 9671.278, dw = -0.12635, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 7, w1 = 9712.306, w2 = 9507.372, dw = -0.1242, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 8, w1 = 9550.447, w2 = 9348.931, dw = -0.12213, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 9, w1 = 9393.895, w2 = 9195.684, dw = -0.12013, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 10, w1 = 9242.392, w2 = 9047.38, dw = -0.11819, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 11, w1 = 9095.7, w2 = 8903.785, dw = -0.11631, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 12, w1 = 8953.591, w2 = 8764.677, dw = -0.11449, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 13, w1 = 8815.855, w2 = 8629.849, dw = -0.11273, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 14, w1 = 8682.293, w2 = 8499.107, dw = -0.11102, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 15, w1 = 8552.718, w2 = 8372.268, dw = -0.10936, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 16, w1 = 8426.954, w2 = 8249.159, dw = -0.10775, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 17, w1 = 8304.835, w2 = 8129.619, dw = -0.10619, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 18, w1 = 8186.206, w2 = 8013.494, dw = -0.10467, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 19, w1 = 8070.918, w2 = 7900.64, dw = -0.1032, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 20, w1 = 7958.832, w2 = 7790.921, dw = -0.10176, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 21, w1 = 7849.818, w2 = 7684.208, dw = -0.10037, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 22, w1 = 7743.75, w2 = 7580.379, dw = -0.09901, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 23, w1 = 7640.51, w2 = 7479.319, dw = -0.09769, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 24, w1 = 7539.987, w2 = 7380.919, dw = -0.0964, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 25, w1 = 7442.075, w2 = 7285.074, dw = -0.09515, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 26, w1 = 7346.674, w2 = 7191.687, dw = -0.09393, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 27, w1 = 7253.688, w2 = 7100.665, dw = -0.09274, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 28, w1 = 7163.027, w2 = 7011.917, dw = -0.09158, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 29, w1 = 7074.604, w2 = 6925.362, dw = -0.09045, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 30, w1 = 6988.338, w2 = 6840.917, dw = -0.08935, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 31, w1 = 6904.15, w2 = 6758.507, dw = -0.08827, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 32, w1 = 6821.967, w2 = 6678.059, dw = -0.08722, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 33, w1 = 6741.718, w2 = 6599.504, dw = -0.08619, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 34, w1 = 6663.335, w2 = 6522.777, dw = -0.08519, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 35, w1 = 6586.754, w2 = 6447.813, dw = -0.08421, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 36, w1 = 6511.914, w2 = 6374.552, dw = -0.08325, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 37, w1 = 6438.755, w2 = 6302.938, dw = -0.08231, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 38, w1 = 6367.222, w2 = 6232.916, dw = -0.0814, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 39, w1 = 6297.262, w2 = 6164.433, dw = -0.0805, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 40, w1 = 6228.822, w2 = 6097.438, dw = -0.07963, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 41, w1 = 6161.854, w2 = 6031.884, dw = -0.07877, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 42, w1 = 6096.311, w2 = 5967.725, dw = -0.07793, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 43, w1 = 6032.148, w2 = 5904.917, dw = -0.07711, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 44, w1 = 5969.321, w2 = 5843.417, dw = -0.07631, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 45, w1 = 5907.79, w2 = 5783.185, dw = -0.07552, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 46, w1 = 5847.515, w2 = 5724.183, dw = -0.07475, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 47, w1 = 5788.457, w2 = 5666.373, dw = -0.07399, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 48, w1 = 5730.581, w2 = 5609.719, dw = -0.07325, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 49, w1 = 5673.851, w2 = 5554.186, dw = -0.07252, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 50, w1 = 5618.233, w2 = 5499.743, dw = -0.07181, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 51, w1 = 5563.695, w2 = 5446.357, dw = -0.07111, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 52, w1 = 5510.205, w2 = 5393.998, dw = -0.07043, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 53, w1 = 5457.735, w2 = 5342.636, dw = -0.06976, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 54, w1 = 5406.255, w2 = 5292.243, dw = -0.0691, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 55, w1 = 5355.737, w2 = 5242.792, dw = -0.06845, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 56, w1 = 5306.154, w2 = 5194.257, dw = -0.06782, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 57, w1 = 5257.482, w2 = 5146.613, dw = -0.06719, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 58, w1 = 5209.694, w2 = 5099.835, dw = -0.06658, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 59, w1 = 5162.767, w2 = 5053.9, dw = -0.06598, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 60, w1 = 5116.678, w2 = 5008.785, dw = -0.06539, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 61, w1 = 5071.405, w2 = 4964.469, dw = -0.06481, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 62, w1 = 5026.927, w2 = 4920.931, dw = -0.06424, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 63, w1 = 4983.221, w2 = 4878.149, dw = -0.06368, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 64, w1 = 4940.27, w2 = 4836.106, dw = -0.06313, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 65, w1 = 4898.052, w2 = 4794.781, dw = -0.06259, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 66, w1 = 4856.551, w2 = 4754.157, dw = -0.06206, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 67, w1 = 4815.746, w2 = 4714.215, dw = -0.06153, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 68, w1 = 4775.622, w2 = 4674.939, dw = -0.06102, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 69, w1 = 4736.161, w2 = 4636.313, dw = -0.06051, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 70, w1 = 4697.347, w2 = 4598.32, dw = -0.06002, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 71, w1 = 4659.164, w2 = 4560.945, dw = -0.05953, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 72, w1 = 4621.597, w2 = 4524.173, dw = -0.05904, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 73, w1 = 4584.63, w2 = 4487.989, dw = -0.05857, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 74, w1 = 4548.251, w2 = 4452.379, dw = -0.0581, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 75, w1 = 4512.445, w2 = 4417.331, dw = -0.05764, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 76, w1 = 4477.198, w2 = 4382.83, dw = -0.05719, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 77, w1 = 4442.497, w2 = 4348.865, dw = -0.05675, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 78, w1 = 4408.331, w2 = 4315.422, dw = -0.05631, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 79, w1 = 4374.685, w2 = 4282.489, dw = -0.05588, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 80, w1 = 4341.55, w2 = 4250.056, dw = -0.05545, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 81, w1 = 4308.913, w2 = 4218.111, dw = -0.05503, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 82, w1 = 4276.763, w2 = 4186.642, dw = -0.05462, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 83, w1 = 4245.09, w2 = 4155.64, dw = -0.05421, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 84, w1 = 4213.882, w2 = 4125.094, dw = -0.05381, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 85, w1 = 4183.13, w2 = 4094.994, dw = -0.05342, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 86, w1 = 4152.823, w2 = 4065.331, dw = -0.05303, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 87, w1 = 4122.952, w2 = 4036.094, dw = -0.05264, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 88, w1 = 4093.509, w2 = 4007.275, dw = -0.05226, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 89, w1 = 4064.482, w2 = 3978.865, dw = -0.05189, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 90, w1 = 4035.865, w2 = 3950.856, dw = -0.05152, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 91, w1 = 4007.648, w2 = 3923.238, dw = -0.05116, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 92, w1 = 3979.822, w2 = 3896.004, dw = -0.0508, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 93, w1 = 3952.381, w2 = 3869.146, dw = -0.05045, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 94, w1 = 3925.315, w2 = 3842.656, dw = -0.0501, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 95, w1 = 3898.618, w2 = 3816.526, dw = -0.04975, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 96, w1 = 3872.281, w2 = 3790.75, dw = -0.04941, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 97, w1 = 3846.298, w2 = 3765.32, dw = -0.04908, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 98, w1 = 3820.661, w2 = 3740.229, dw = -0.04875, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 99, w1 = 3795.364, w2 = 3715.47, dw = -0.04842, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 100, w1 = 3770.4, w2 = 3691.038, dw = -0.0481, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 101, w1 = 3745.762, w2 = 3666.925, dw = -0.04778, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 102, w1 = 3721.443, w2 = 3643.126, dw = -0.04747, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 103, w1 = 3697.439, w2 = 3619.633, dw = -0.04715, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 104, w1 = 3673.742, w2 = 3596.442, dw = -0.04685, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 105, w1 = 3650.348, w2 = 3573.547, dw = -0.04655, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 106, w1 = 3627.249, w2 = 3550.942, dw = -0.04625, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 107, w1 = 3604.441, w2 = 3528.621, dw = -0.04595, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 108, w1 = 3581.917, w2 = 3506.58, dw = -0.04566, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 109, w1 = 3559.674, w2 = 3484.812, dw = -0.04537, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 110, w1 = 3537.705, w2 = 3463.313, dw = -0.04509, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 111, w1 = 3516.006, w2 = 3442.079, dw = -0.0448, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 112, w1 = 3494.571, w2 = 3421.103, dw = -0.04453, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 113, w1 = 3473.396, w2 = 3400.382, dw = -0.04425, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 114, w1 = 3452.476, w2 = 3379.911, dw = -0.04398, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 115, w1 = 3431.807, w2 = 3359.686, dw = -0.04371, nw = 1651 EchelleThAr.0019.ec.fits: REFSPEC1 = 'EchelleThAr.0019.ec 1.' zEchelleThAr.0019.ec.fits: ap = 1, w1 = 10811.76, w2 = 10583.54, dw = -0.13832, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 2, w1 = 10611.55, w2 = 10387.57, dw = -0.13575, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 3, w1 = 10418.63, w2 = 10198.73, dw = -0.13327, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 4, w1 = 10232.59, w2 = 10016.63, dw = -0.13089, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 5, w1 = 10053.08, w2 = 9840.916, dw = -0.12859, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 6, w1 = 9879.767, w2 = 9671.264, dw = -0.12637, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 7, w1 = 9712.325, w2 = 9507.363, dw = -0.12422, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 8, w1 = 9550.464, w2 = 9348.925, dw = -0.12215, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 9, w1 = 9393.911, w2 = 9195.681, dw = -0.12014, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 10, w1 = 9242.407, w2 = 9047.38, dw = -0.1182, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 11, w1 = 9095.713, w2 = 8903.787, dw = -0.11632, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 12, w1 = 8953.604, w2 = 8764.681, dw = -0.1145, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 13, w1 = 8815.867, w2 = 8629.855, dw = -0.11273, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 14, w1 = 8682.304, w2 = 8499.114, dw = -0.11102, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 15, w1 = 8552.728, w2 = 8372.276, dw = -0.10936, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 16, w1 = 8426.963, w2 = 8249.168, dw = -0.10775, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 17, w1 = 8304.843, w2 = 8129.628, dw = -0.10619, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 18, w1 = 8186.213, w2 = 8013.504, dw = -0.10467, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 19, w1 = 8070.925, w2 = 7900.65, dw = -0.1032, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 20, w1 = 7958.839, w2 = 7790.932, dw = -0.10176, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 21, w1 = 7849.824, w2 = 7684.219, dw = -0.10037, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 22, w1 = 7743.755, w2 = 7580.39, dw = -0.09901, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 23, w1 = 7640.515, w2 = 7479.33, dw = -0.09769, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 24, w1 = 7539.992, w2 = 7380.93, dw = -0.0964, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 25, w1 = 7442.079, w2 = 7285.085, dw = -0.09515, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 26, w1 = 7346.678, w2 = 7191.697, dw = -0.09393, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 27, w1 = 7253.692, w2 = 7100.674, dw = -0.09274, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 28, w1 = 7163.03, w2 = 7011.927, dw = -0.09158, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 29, w1 = 7074.607, w2 = 6925.371, dw = -0.09045, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 30, w1 = 6988.341, w2 = 6840.926, dw = -0.08934, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 31, w1 = 6904.153, w2 = 6758.515, dw = -0.08827, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 32, w1 = 6821.97, w2 = 6678.067, dw = -0.08721, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 33, w1 = 6741.721, w2 = 6599.512, dw = -0.08619, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 34, w1 = 6663.338, w2 = 6522.784, dw = -0.08518, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 35, w1 = 6586.757, w2 = 6447.82, dw = -0.0842, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 36, w1 = 6511.917, w2 = 6374.559, dw = -0.08325, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 37, w1 = 6438.758, w2 = 6302.945, dw = -0.08231, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 38, w1 = 6367.225, w2 = 6232.922, dw = -0.0814, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 39, w1 = 6297.265, w2 = 6164.439, dw = -0.0805, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 40, w1 = 6228.825, w2 = 6097.444, dw = -0.07962, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 41, w1 = 6161.857, w2 = 6031.89, dw = -0.07877, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 42, w1 = 6096.314, w2 = 5967.731, dw = -0.07793, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 43, w1 = 6032.151, w2 = 5904.922, dw = -0.07711, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 44, w1 = 5969.325, w2 = 5843.422, dw = -0.0763, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 45, w1 = 5907.794, w2 = 5783.191, dw = -0.07552, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 46, w1 = 5847.519, w2 = 5724.188, dw = -0.07475, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 47, w1 = 5788.461, w2 = 5666.378, dw = -0.07399, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 48, w1 = 5730.585, w2 = 5609.724, dw = -0.07325, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 49, w1 = 5673.855, w2 = 5554.192, dw = -0.07252, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 50, w1 = 5618.237, w2 = 5499.749, dw = -0.07181, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 51, w1 = 5563.7, w2 = 5446.363, dw = -0.07111, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 52, w1 = 5510.211, w2 = 5394.004, dw = -0.07043, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 53, w1 = 5457.741, w2 = 5342.642, dw = -0.06976, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 54, w1 = 5406.261, w2 = 5292.25, dw = -0.0691, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 55, w1 = 5355.743, w2 = 5242.799, dw = -0.06845, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 56, w1 = 5306.161, w2 = 5194.265, dw = -0.06782, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 57, w1 = 5257.489, w2 = 5146.621, dw = -0.06719, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 58, w1 = 5209.702, w2 = 5099.843, dw = -0.06658, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 59, w1 = 5162.776, w2 = 5053.908, dw = -0.06598, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 60, w1 = 5116.687, w2 = 5008.794, dw = -0.06539, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 61, w1 = 5071.415, w2 = 4964.478, dw = -0.06481, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 62, w1 = 5026.937, w2 = 4920.94, dw = -0.06424, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 63, w1 = 4983.232, w2 = 4878.158, dw = -0.06368, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 64, w1 = 4940.281, w2 = 4836.115, dw = -0.06313, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 65, w1 = 4898.065, w2 = 4794.79, dw = -0.06259, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 66, w1 = 4856.564, w2 = 4754.166, dw = -0.06206, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 67, w1 = 4815.76, w2 = 4714.225, dw = -0.06154, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 68, w1 = 4775.637, w2 = 4674.95, dw = -0.06102, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 69, w1 = 4736.176, w2 = 4636.323, dw = -0.06052, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 70, w1 = 4697.363, w2 = 4598.33, dw = -0.06002, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 71, w1 = 4659.181, w2 = 4560.955, dw = -0.05953, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 72, w1 = 4621.615, w2 = 4524.183, dw = -0.05905, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 73, w1 = 4584.65, w2 = 4487.999, dw = -0.05858, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 74, w1 = 4548.271, w2 = 4452.389, dw = -0.05811, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 75, w1 = 4512.466, w2 = 4417.34, dw = -0.05765, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 76, w1 = 4477.22, w2 = 4382.839, dw = -0.0572, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 77, w1 = 4442.521, w2 = 4348.873, dw = -0.05676, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 78, w1 = 4408.355, w2 = 4315.43, dw = -0.05632, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 79, w1 = 4374.711, w2 = 4282.497, dw = -0.05589, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 80, w1 = 4341.577, w2 = 4250.063, dw = -0.05546, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 81, w1 = 4308.942, w2 = 4218.116, dw = -0.05505, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 82, w1 = 4276.793, w2 = 4186.647, dw = -0.05463, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 83, w1 = 4245.121, w2 = 4155.644, dw = -0.05423, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 84, w1 = 4213.915, w2 = 4125.096, dw = -0.05383, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 85, w1 = 4183.164, w2 = 4094.995, dw = -0.05344, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 86, w1 = 4152.859, w2 = 4065.33, dw = -0.05305, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 87, w1 = 4122.99, w2 = 4036.092, dw = -0.05267, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 88, w1 = 4093.548, w2 = 4007.271, dw = -0.05229, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 89, w1 = 4064.523, w2 = 3978.859, dw = -0.05192, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 90, w1 = 4035.908, w2 = 3950.847, dw = -0.05155, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 91, w1 = 4007.693, w2 = 3923.227, dw = -0.05119, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 92, w1 = 3979.869, w2 = 3895.99, dw = -0.05084, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 93, w1 = 3952.43, w2 = 3869.13, dw = -0.05048, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 94, w1 = 3925.366, w2 = 3842.636, dw = -0.05014, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 95, w1 = 3898.671, w2 = 3816.504, dw = -0.0498, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 96, w1 = 3872.336, w2 = 3790.724, dw = -0.04946, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 97, w1 = 3846.355, w2 = 3765.29, dw = -0.04913, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 98, w1 = 3820.721, w2 = 3740.196, dw = -0.0488, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 99, w1 = 3795.426, w2 = 3715.433, dw = -0.04848, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 100, w1 = 3770.464, w2 = 3690.997, dw = -0.04816, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 101, w1 = 3745.829, w2 = 3666.879, dw = -0.04785, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 102, w1 = 3721.513, w2 = 3643.075, dw = -0.04754, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 103, w1 = 3697.512, w2 = 3619.578, dw = -0.04723, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 104, w1 = 3673.818, w2 = 3596.381, dw = -0.04693, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 105, w1 = 3650.426, w2 = 3573.481, dw = -0.04663, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 106, w1 = 3627.33, w2 = 3550.869, dw = -0.04634, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 107, w1 = 3604.525, w2 = 3528.542, dw = -0.04605, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 108, w1 = 3582.005, w2 = 3506.494, dw = -0.04576, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 109, w1 = 3559.764, w2 = 3484.72, dw = -0.04548, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 110, w1 = 3537.799, w2 = 3463.214, dw = -0.0452, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 111, w1 = 3516.103, w2 = 3441.972, dw = -0.04493, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 112, w1 = 3494.672, w2 = 3420.989, dw = -0.04466, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 113, w1 = 3473.5, w2 = 3400.26, dw = -0.04439, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 114, w1 = 3452.584, w2 = 3379.781, dw = -0.04412, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 115, w1 = 3431.918, w2 = 3359.546, dw = -0.04386, nw = 1651 EchelleThAr.0020.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' zEchelleThAr.0020.ec.fits: ap = 1, w1 = 10811.74, w2 = 10583.57, dw = -0.13828, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 2, w1 = 10611.54, w2 = 10387.6, dw = -0.13572, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 3, w1 = 10418.62, w2 = 10198.75, dw = -0.13325, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 4, w1 = 10232.59, w2 = 10016.65, dw = -0.13087, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 5, w1 = 10053.08, w2 = 9840.939, dw = -0.12857, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 6, w1 = 9879.769, w2 = 9671.285, dw = -0.12635, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 7, w1 = 9712.329, w2 = 9507.382, dw = -0.12421, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 8, w1 = 9550.471, w2 = 9348.942, dw = -0.12214, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 9, w1 = 9393.92, w2 = 9195.697, dw = -0.12014, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 10, w1 = 9242.418, w2 = 9047.395, dw = -0.1182, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 11, w1 = 9095.726, w2 = 8903.801, dw = -0.11632, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 12, w1 = 8953.618, w2 = 8764.694, dw = -0.1145, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 13, w1 = 8815.882, w2 = 8629.866, dw = -0.11274, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 14, w1 = 8682.32, w2 = 8499.125, dw = -0.11103, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 15, w1 = 8552.744, w2 = 8372.286, dw = -0.10937, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 16, w1 = 8426.98, w2 = 8249.177, dw = -0.10776, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 17, w1 = 8304.86, w2 = 8129.637, dw = -0.1062, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 18, w1 = 8186.23, w2 = 8013.512, dw = -0.10468, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 19, w1 = 8070.941, w2 = 7900.658, dw = -0.1032, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 20, w1 = 7958.855, w2 = 7790.939, dw = -0.10177, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 21, w1 = 7849.839, w2 = 7684.225, dw = -0.10037, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 22, w1 = 7743.77, w2 = 7580.396, dw = -0.09901, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 23, w1 = 7640.529, w2 = 7479.336, dw = -0.09769, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 24, w1 = 7540.005, w2 = 7380.935, dw = -0.09641, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 25, w1 = 7442.092, w2 = 7285.089, dw = -0.09515, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 26, w1 = 7346.69, w2 = 7191.702, dw = -0.09393, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 27, w1 = 7253.703, w2 = 7100.678, dw = -0.09274, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 28, w1 = 7163.04, w2 = 7011.931, dw = -0.09158, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 29, w1 = 7074.616, w2 = 6925.374, dw = -0.09045, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 30, w1 = 6988.349, w2 = 6840.929, dw = -0.08935, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 31, w1 = 6904.161, w2 = 6758.518, dw = -0.08827, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 32, w1 = 6821.977, w2 = 6678.07, dw = -0.08722, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 33, w1 = 6741.726, w2 = 6599.515, dw = -0.08619, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 34, w1 = 6663.342, w2 = 6522.786, dw = -0.08519, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 35, w1 = 6586.76, w2 = 6447.822, dw = -0.08421, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 36, w1 = 6511.919, w2 = 6374.561, dw = -0.08325, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 37, w1 = 6438.759, w2 = 6302.947, dw = -0.08231, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 38, w1 = 6367.226, w2 = 6232.924, dw = -0.08139, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 39, w1 = 6297.264, w2 = 6164.44, dw = -0.0805, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 40, w1 = 6228.824, w2 = 6097.445, dw = -0.07962, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 41, w1 = 6161.855, w2 = 6031.891, dw = -0.07877, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 42, w1 = 6096.311, w2 = 5967.732, dw = -0.07793, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 43, w1 = 6032.147, w2 = 5904.923, dw = -0.07711, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 44, w1 = 5969.32, w2 = 5843.423, dw = -0.0763, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 45, w1 = 5907.789, w2 = 5783.192, dw = -0.07551, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 46, w1 = 5847.513, w2 = 5724.189, dw = -0.07474, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 47, w1 = 5788.455, w2 = 5666.379, dw = -0.07399, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 48, w1 = 5730.579, w2 = 5609.725, dw = -0.07324, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 49, w1 = 5673.848, w2 = 5554.193, dw = -0.07252, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 50, w1 = 5618.23, w2 = 5499.749, dw = -0.07181, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 51, w1 = 5563.692, w2 = 5446.363, dw = -0.07111, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 52, w1 = 5510.203, w2 = 5394.004, dw = -0.07042, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 53, w1 = 5457.733, w2 = 5342.643, dw = -0.06975, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 54, w1 = 5406.253, w2 = 5292.25, dw = -0.06909, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 55, w1 = 5355.735, w2 = 5242.799, dw = -0.06845, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 56, w1 = 5306.153, w2 = 5194.265, dw = -0.06781, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 57, w1 = 5257.481, w2 = 5146.621, dw = -0.06719, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 58, w1 = 5209.694, w2 = 5099.843, dw = -0.06658, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 59, w1 = 5162.768, w2 = 5053.908, dw = -0.06598, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 60, w1 = 5116.68, w2 = 5008.794, dw = -0.06539, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 61, w1 = 5071.408, w2 = 4964.478, dw = -0.06481, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 62, w1 = 5026.93, w2 = 4920.94, dw = -0.06424, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 63, w1 = 4983.226, w2 = 4878.159, dw = -0.06368, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 64, w1 = 4940.276, w2 = 4836.116, dw = -0.06313, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 65, w1 = 4898.06, w2 = 4794.792, dw = -0.06259, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 66, w1 = 4856.559, w2 = 4754.168, dw = -0.06206, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 67, w1 = 4815.756, w2 = 4714.227, dw = -0.06153, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 68, w1 = 4775.634, w2 = 4674.951, dw = -0.06102, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 69, w1 = 4736.174, w2 = 4636.325, dw = -0.06051, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 70, w1 = 4697.362, w2 = 4598.333, dw = -0.06002, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 71, w1 = 4659.181, w2 = 4560.958, dw = -0.05953, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 72, w1 = 4621.615, w2 = 4524.186, dw = -0.05905, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 73, w1 = 4584.651, w2 = 4488.003, dw = -0.05857, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 74, w1 = 4548.274, w2 = 4452.394, dw = -0.05811, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 75, w1 = 4512.47, w2 = 4417.345, dw = -0.05765, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 76, w1 = 4477.225, w2 = 4382.845, dw = -0.0572, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 77, w1 = 4442.527, w2 = 4348.879, dw = -0.05676, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 78, w1 = 4408.363, w2 = 4315.436, dw = -0.05632, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 79, w1 = 4374.72, w2 = 4282.504, dw = -0.05589, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 80, w1 = 4341.588, w2 = 4250.071, dw = -0.05546, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 81, w1 = 4308.953, w2 = 4218.126, dw = -0.05505, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 82, w1 = 4276.806, w2 = 4186.657, dw = -0.05464, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 83, w1 = 4245.135, w2 = 4155.655, dw = -0.05423, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 84, w1 = 4213.931, w2 = 4125.109, dw = -0.05383, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 85, w1 = 4183.181, w2 = 4095.008, dw = -0.05344, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 86, w1 = 4152.878, w2 = 4065.344, dw = -0.05305, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 87, w1 = 4123.011, w2 = 4036.107, dw = -0.05267, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 88, w1 = 4093.57, w2 = 4007.288, dw = -0.05229, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 89, w1 = 4064.547, w2 = 3978.877, dw = -0.05192, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 90, w1 = 4035.933, w2 = 3950.867, dw = -0.05156, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 91, w1 = 4007.719, w2 = 3923.248, dw = -0.05119, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 92, w1 = 3979.898, w2 = 3896.013, dw = -0.05084, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 93, w1 = 3952.46, w2 = 3869.154, dw = -0.05049, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 94, w1 = 3925.398, w2 = 3842.662, dw = -0.05014, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 95, w1 = 3898.704, w2 = 3816.531, dw = -0.0498, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 96, w1 = 3872.372, w2 = 3790.754, dw = -0.04947, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 97, w1 = 3846.392, w2 = 3765.322, dw = -0.04913, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 98, w1 = 3820.76, w2 = 3740.229, dw = -0.04881, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 99, w1 = 3795.467, w2 = 3715.469, dw = -0.04848, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 100, w1 = 3770.506, w2 = 3691.034, dw = -0.04816, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 101, w1 = 3745.872, w2 = 3666.919, dw = -0.04785, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 102, w1 = 3721.559, w2 = 3643.117, dw = -0.04754, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 103, w1 = 3697.558, w2 = 3619.623, dw = -0.04723, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 104, w1 = 3673.866, w2 = 3596.429, dw = -0.04693, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 105, w1 = 3650.476, w2 = 3573.531, dw = -0.04663, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 106, w1 = 3627.382, w2 = 3550.922, dw = -0.04634, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 107, w1 = 3604.578, w2 = 3528.598, dw = -0.04605, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 108, w1 = 3582.059, w2 = 3506.553, dw = -0.04576, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 109, w1 = 3559.821, w2 = 3484.782, dw = -0.04548, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 110, w1 = 3537.857, w2 = 3463.28, dw = -0.0452, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 111, w1 = 3516.162, w2 = 3442.041, dw = -0.04492, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 112, w1 = 3494.732, w2 = 3421.061, dw = -0.04465, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 113, w1 = 3473.562, w2 = 3400.336, dw = -0.04438, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 114, w1 = 3452.647, w2 = 3379.86, dw = -0.04411, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 115, w1 = 3431.983, w2 = 3359.629, dw = -0.04385, nw = 1651 EchelleThAr.0027.ec.fits: REFSPEC1 = 'EchelleThAr.0027.ec 1.' zEchelleThAr.0027.ec.fits: ap = 1, w1 = 10811.79, w2 = 10583.56, dw = -0.13832, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 2, w1 = 10611.59, w2 = 10387.59, dw = -0.13575, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 3, w1 = 10418.66, w2 = 10198.75, dw = -0.13328, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 4, w1 = 10232.63, w2 = 10016.65, dw = -0.1309, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 5, w1 = 10053.12, w2 = 9840.938, dw = -0.12859, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 6, w1 = 9879.801, w2 = 9671.285, dw = -0.12637, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 7, w1 = 9712.359, w2 = 9507.383, dw = -0.12423, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 8, w1 = 9550.498, w2 = 9348.944, dw = -0.12215, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 9, w1 = 9393.944, w2 = 9195.699, dw = -0.12015, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 10, w1 = 9242.44, w2 = 9047.398, dw = -0.11821, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 11, w1 = 9095.746, w2 = 8903.804, dw = -0.11633, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 12, w1 = 8953.636, w2 = 8764.697, dw = -0.11451, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 13, w1 = 8815.899, w2 = 8629.87, dw = -0.11274, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 14, w1 = 8682.335, w2 = 8499.129, dw = -0.11103, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 15, w1 = 8552.758, w2 = 8372.29, dw = -0.10937, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 16, w1 = 8426.993, w2 = 8249.182, dw = -0.10776, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 17, w1 = 8304.873, w2 = 8129.642, dw = -0.1062, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 18, w1 = 8186.242, w2 = 8013.517, dw = -0.10468, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 19, w1 = 8070.953, w2 = 7900.663, dw = -0.10321, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 20, w1 = 7958.866, w2 = 7790.944, dw = -0.10177, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 21, w1 = 7849.85, w2 = 7684.23, dw = -0.10038, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 22, w1 = 7743.781, w2 = 7580.401, dw = -0.09902, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 23, w1 = 7640.54, w2 = 7479.34, dw = -0.0977, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 24, w1 = 7540.016, w2 = 7380.939, dw = -0.09641, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 25, w1 = 7442.103, w2 = 7285.094, dw = -0.09516, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 26, w1 = 7346.7, w2 = 7191.706, dw = -0.09394, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 27, w1 = 7253.713, w2 = 7100.683, dw = -0.09275, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 28, w1 = 7163.051, w2 = 7011.935, dw = -0.09159, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 29, w1 = 7074.627, w2 = 6925.379, dw = -0.09045, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 30, w1 = 6988.36, w2 = 6840.933, dw = -0.08935, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 31, w1 = 6904.171, w2 = 6758.523, dw = -0.08827, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 32, w1 = 6821.988, w2 = 6678.074, dw = -0.08722, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 33, w1 = 6741.738, w2 = 6599.519, dw = -0.08619, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 34, w1 = 6663.354, w2 = 6522.79, dw = -0.08519, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 35, w1 = 6586.772, w2 = 6447.826, dw = -0.08421, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 36, w1 = 6511.931, w2 = 6374.565, dw = -0.08325, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 37, w1 = 6438.772, w2 = 6302.95, dw = -0.08232, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 38, w1 = 6367.238, w2 = 6232.927, dw = -0.0814, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 39, w1 = 6297.277, w2 = 6164.444, dw = -0.08051, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 40, w1 = 6228.837, w2 = 6097.449, dw = -0.07963, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 41, w1 = 6161.868, w2 = 6031.894, dw = -0.07877, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 42, w1 = 6096.325, w2 = 5967.735, dw = -0.07793, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 43, w1 = 6032.161, w2 = 5904.926, dw = -0.07711, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 44, w1 = 5969.335, w2 = 5843.427, dw = -0.07631, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 45, w1 = 5907.803, w2 = 5783.195, dw = -0.07552, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 46, w1 = 5847.528, w2 = 5724.192, dw = -0.07475, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 47, w1 = 5788.47, w2 = 5666.382, dw = -0.07399, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 48, w1 = 5730.593, w2 = 5609.728, dw = -0.07325, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 49, w1 = 5673.863, w2 = 5554.196, dw = -0.07253, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 50, w1 = 5618.245, w2 = 5499.753, dw = -0.07181, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 51, w1 = 5563.707, w2 = 5446.367, dw = -0.07112, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 52, w1 = 5510.218, w2 = 5394.008, dw = -0.07043, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 53, w1 = 5457.748, w2 = 5342.646, dw = -0.06976, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 54, w1 = 5406.268, w2 = 5292.254, dw = -0.0691, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 55, w1 = 5355.75, w2 = 5242.803, dw = -0.06845, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 56, w1 = 5306.168, w2 = 5194.269, dw = -0.06782, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 57, w1 = 5257.496, w2 = 5146.625, dw = -0.06719, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 58, w1 = 5209.709, w2 = 5099.847, dw = -0.06658, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 59, w1 = 5162.782, w2 = 5053.913, dw = -0.06598, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 60, w1 = 5116.694, w2 = 5008.798, dw = -0.06539, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 61, w1 = 5071.422, w2 = 4964.483, dw = -0.06481, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 62, w1 = 5026.944, w2 = 4920.945, dw = -0.06424, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 63, w1 = 4983.24, w2 = 4878.164, dw = -0.06368, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 64, w1 = 4940.289, w2 = 4836.121, dw = -0.06313, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 65, w1 = 4898.073, w2 = 4794.796, dw = -0.06259, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 66, w1 = 4856.572, w2 = 4754.173, dw = -0.06206, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 67, w1 = 4815.769, w2 = 4714.232, dw = -0.06154, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 68, w1 = 4775.646, w2 = 4674.956, dw = -0.06102, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 69, w1 = 4736.186, w2 = 4636.331, dw = -0.06052, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 70, w1 = 4697.373, w2 = 4598.338, dw = -0.06002, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 71, w1 = 4659.192, w2 = 4560.963, dw = -0.05953, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 72, w1 = 4621.626, w2 = 4524.191, dw = -0.05905, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 73, w1 = 4584.662, w2 = 4488.008, dw = -0.05858, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 74, w1 = 4548.284, w2 = 4452.399, dw = -0.05811, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 75, w1 = 4512.479, w2 = 4417.351, dw = -0.05765, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 76, w1 = 4477.234, w2 = 4382.85, dw = -0.0572, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 77, w1 = 4442.536, w2 = 4348.885, dw = -0.05676, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 78, w1 = 4408.371, w2 = 4315.442, dw = -0.05632, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 79, w1 = 4374.728, w2 = 4282.51, dw = -0.05589, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 80, w1 = 4341.595, w2 = 4250.076, dw = -0.05547, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 81, w1 = 4308.96, w2 = 4218.131, dw = -0.05505, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 82, w1 = 4276.813, w2 = 4186.662, dw = -0.05464, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 83, w1 = 4245.142, w2 = 4155.66, dw = -0.05423, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 84, w1 = 4213.936, w2 = 4125.114, dw = -0.05383, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 85, w1 = 4183.187, w2 = 4095.013, dw = -0.05344, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 86, w1 = 4152.883, w2 = 4065.349, dw = -0.05305, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 87, w1 = 4123.015, w2 = 4036.111, dw = -0.05267, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 88, w1 = 4093.574, w2 = 4007.292, dw = -0.05229, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 89, w1 = 4064.551, w2 = 3978.881, dw = -0.05192, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 90, w1 = 4035.937, w2 = 3950.87, dw = -0.05156, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 91, w1 = 4007.723, w2 = 3923.251, dw = -0.0512, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 92, w1 = 3979.901, w2 = 3896.016, dw = -0.05084, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 93, w1 = 3952.463, w2 = 3869.156, dw = -0.05049, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 94, w1 = 3925.401, w2 = 3842.664, dw = -0.05014, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 95, w1 = 3898.707, w2 = 3816.533, dw = -0.0498, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 96, w1 = 3872.374, w2 = 3790.754, dw = -0.04947, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 97, w1 = 3846.395, w2 = 3765.322, dw = -0.04914, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 98, w1 = 3820.762, w2 = 3740.229, dw = -0.04881, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 99, w1 = 3795.469, w2 = 3715.468, dw = -0.04849, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 100, w1 = 3770.509, w2 = 3691.033, dw = -0.04817, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 101, w1 = 3745.875, w2 = 3666.917, dw = -0.04785, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 102, w1 = 3721.561, w2 = 3643.114, dw = -0.04754, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 103, w1 = 3697.561, w2 = 3619.618, dw = -0.04724, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 104, w1 = 3673.869, w2 = 3596.424, dw = -0.04694, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 105, w1 = 3650.479, w2 = 3573.525, dw = -0.04664, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 106, w1 = 3627.385, w2 = 3550.915, dw = -0.04635, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 107, w1 = 3604.582, w2 = 3528.59, dw = -0.04606, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 108, w1 = 3582.064, w2 = 3506.544, dw = -0.04577, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 109, w1 = 3559.826, w2 = 3484.771, dw = -0.04549, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 110, w1 = 3537.862, w2 = 3463.268, dw = -0.04521, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 111, w1 = 3516.168, w2 = 3442.028, dw = -0.04493, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 112, w1 = 3494.739, w2 = 3421.046, dw = -0.04466, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 113, w1 = 3473.57, w2 = 3400.319, dw = -0.04439, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 114, w1 = 3452.656, w2 = 3379.842, dw = -0.04413, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 115, w1 = 3431.992, w2 = 3359.61, dw = -0.04387, nw = 1651 EchelleThAr.0031.ec.fits: REFSPEC1 = 'EchelleThAr.0031.ec 1.' zEchelleThAr.0031.ec.fits: ap = 1, w1 = 10811.75, w2 = 10583.58, dw = -0.13828, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 2, w1 = 10611.55, w2 = 10387.61, dw = -0.13572, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 3, w1 = 10418.64, w2 = 10198.77, dw = -0.13325, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 4, w1 = 10232.61, w2 = 10016.66, dw = -0.13087, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 5, w1 = 10053.1, w2 = 9840.951, dw = -0.12858, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 6, w1 = 9879.792, w2 = 9671.297, dw = -0.12636, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 7, w1 = 9712.353, w2 = 9507.394, dw = -0.12422, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 8, w1 = 9550.496, w2 = 9348.954, dw = -0.12215, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 9, w1 = 9393.944, w2 = 9195.708, dw = -0.12014, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 10, w1 = 9242.443, w2 = 9047.406, dw = -0.1182, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 11, w1 = 9095.751, w2 = 8903.811, dw = -0.11633, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 12, w1 = 8953.642, w2 = 8764.704, dw = -0.11451, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 13, w1 = 8815.906, w2 = 8629.876, dw = -0.11275, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 14, w1 = 8682.344, w2 = 8499.135, dw = -0.11104, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 15, w1 = 8552.768, w2 = 8372.296, dw = -0.10938, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 16, w1 = 8427.003, w2 = 8249.187, dw = -0.10777, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 17, w1 = 8304.883, w2 = 8129.646, dw = -0.1062, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 18, w1 = 8186.252, w2 = 8013.521, dw = -0.10469, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 19, w1 = 8070.963, w2 = 7900.667, dw = -0.10321, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 20, w1 = 7958.876, w2 = 7790.948, dw = -0.10177, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 21, w1 = 7849.86, w2 = 7684.235, dw = -0.10038, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 22, w1 = 7743.79, w2 = 7580.405, dw = -0.09902, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 23, w1 = 7640.549, w2 = 7479.345, dw = -0.0977, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 24, w1 = 7540.024, w2 = 7380.944, dw = -0.09641, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 25, w1 = 7442.111, w2 = 7285.099, dw = -0.09516, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 26, w1 = 7346.708, w2 = 7191.711, dw = -0.09394, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 27, w1 = 7253.72, w2 = 7100.687, dw = -0.09275, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 28, w1 = 7163.057, w2 = 7011.94, dw = -0.09159, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 29, w1 = 7074.632, w2 = 6925.383, dw = -0.09045, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 30, w1 = 6988.365, w2 = 6840.938, dw = -0.08935, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 31, w1 = 6904.176, w2 = 6758.527, dw = -0.08827, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 32, w1 = 6821.991, w2 = 6678.079, dw = -0.08722, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 33, w1 = 6741.74, w2 = 6599.524, dw = -0.08619, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 34, w1 = 6663.356, w2 = 6522.795, dw = -0.08519, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 35, w1 = 6586.774, w2 = 6447.83, dw = -0.08421, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 36, w1 = 6511.932, w2 = 6374.57, dw = -0.08325, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 37, w1 = 6438.772, w2 = 6302.955, dw = -0.08231, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 38, w1 = 6367.238, w2 = 6232.932, dw = -0.0814, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 39, w1 = 6297.276, w2 = 6164.448, dw = -0.0805, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 40, w1 = 6228.835, w2 = 6097.453, dw = -0.07963, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 41, w1 = 6161.866, w2 = 6031.899, dw = -0.07877, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 42, w1 = 6096.322, w2 = 5967.74, dw = -0.07793, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 43, w1 = 6032.158, w2 = 5904.931, dw = -0.07711, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 44, w1 = 5969.331, w2 = 5843.431, dw = -0.0763, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 45, w1 = 5907.799, w2 = 5783.199, dw = -0.07552, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 46, w1 = 5847.523, w2 = 5724.196, dw = -0.07474, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 47, w1 = 5788.465, w2 = 5666.386, dw = -0.07399, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 48, w1 = 5730.589, w2 = 5609.732, dw = -0.07325, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 49, w1 = 5673.858, w2 = 5554.199, dw = -0.07252, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 50, w1 = 5618.24, w2 = 5499.756, dw = -0.07181, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 51, w1 = 5563.702, w2 = 5446.37, dw = -0.07111, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 52, w1 = 5510.213, w2 = 5394.011, dw = -0.07043, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 53, w1 = 5457.743, w2 = 5342.649, dw = -0.06975, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 54, w1 = 5406.263, w2 = 5292.256, dw = -0.0691, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 55, w1 = 5355.745, w2 = 5242.805, dw = -0.06845, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 56, w1 = 5306.163, w2 = 5194.27, dw = -0.06781, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 57, w1 = 5257.491, w2 = 5146.626, dw = -0.06719, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 58, w1 = 5209.704, w2 = 5099.848, dw = -0.06658, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 59, w1 = 5162.778, w2 = 5053.913, dw = -0.06598, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 60, w1 = 5116.691, w2 = 5008.799, dw = -0.06539, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 61, w1 = 5071.419, w2 = 4964.483, dw = -0.06481, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 62, w1 = 5026.941, w2 = 4920.945, dw = -0.06424, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 63, w1 = 4983.237, w2 = 4878.164, dw = -0.06368, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 64, w1 = 4940.287, w2 = 4836.12, dw = -0.06313, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 65, w1 = 4898.071, w2 = 4794.796, dw = -0.06259, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 66, w1 = 4856.57, w2 = 4754.172, dw = -0.06206, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 67, w1 = 4815.768, w2 = 4714.23, dw = -0.06154, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 68, w1 = 4775.645, w2 = 4674.955, dw = -0.06102, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 69, w1 = 4736.186, w2 = 4636.329, dw = -0.06052, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 70, w1 = 4697.373, w2 = 4598.336, dw = -0.06002, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 71, w1 = 4659.192, w2 = 4560.961, dw = -0.05953, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 72, w1 = 4621.627, w2 = 4524.189, dw = -0.05905, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 73, w1 = 4584.663, w2 = 4488.005, dw = -0.05858, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 74, w1 = 4548.286, w2 = 4452.396, dw = -0.05811, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 75, w1 = 4512.481, w2 = 4417.348, dw = -0.05766, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 76, w1 = 4477.237, w2 = 4382.847, dw = -0.05721, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 77, w1 = 4442.538, w2 = 4348.882, dw = -0.05676, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 78, w1 = 4408.374, w2 = 4315.439, dw = -0.05632, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 79, w1 = 4374.732, w2 = 4282.507, dw = -0.05589, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 80, w1 = 4341.599, w2 = 4250.073, dw = -0.05547, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 81, w1 = 4308.964, w2 = 4218.128, dw = -0.05505, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 82, w1 = 4276.817, w2 = 4186.66, dw = -0.05464, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 83, w1 = 4245.146, w2 = 4155.657, dw = -0.05424, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 84, w1 = 4213.94, w2 = 4125.111, dw = -0.05384, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 85, w1 = 4183.191, w2 = 4095.011, dw = -0.05344, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 86, w1 = 4152.887, w2 = 4065.347, dw = -0.05305, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 87, w1 = 4123.019, w2 = 4036.11, dw = -0.05267, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 88, w1 = 4093.578, w2 = 4007.291, dw = -0.0523, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 89, w1 = 4064.554, w2 = 3978.88, dw = -0.05192, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 90, w1 = 4035.94, w2 = 3950.87, dw = -0.05156, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 91, w1 = 4007.725, w2 = 3923.252, dw = -0.0512, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 92, w1 = 3979.903, w2 = 3896.017, dw = -0.05084, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 93, w1 = 3952.464, w2 = 3869.158, dw = -0.05049, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 94, w1 = 3925.401, w2 = 3842.667, dw = -0.05014, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 95, w1 = 3898.706, w2 = 3816.536, dw = -0.0498, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 96, w1 = 3872.372, w2 = 3790.759, dw = -0.04946, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 97, w1 = 3846.392, w2 = 3765.328, dw = -0.04913, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 98, w1 = 3820.757, w2 = 3740.235, dw = -0.0488, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 99, w1 = 3795.463, w2 = 3715.476, dw = -0.04848, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 100, w1 = 3770.501, w2 = 3691.042, dw = -0.04816, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 101, w1 = 3745.865, w2 = 3666.927, dw = -0.04784, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 102, w1 = 3721.55, w2 = 3643.126, dw = -0.04753, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 103, w1 = 3697.548, w2 = 3619.632, dw = -0.04722, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 104, w1 = 3673.854, w2 = 3596.439, dw = -0.04692, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 105, w1 = 3650.461, w2 = 3573.541, dw = -0.04662, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 106, w1 = 3627.365, w2 = 3550.934, dw = -0.04632, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 107, w1 = 3604.559, w2 = 3528.61, dw = -0.04603, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 108, w1 = 3582.038, w2 = 3506.566, dw = -0.04574, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 109, w1 = 3559.796, w2 = 3484.796, dw = -0.04545, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 110, w1 = 3537.829, w2 = 3463.295, dw = -0.04517, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 111, w1 = 3516.132, w2 = 3442.057, dw = -0.04489, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 112, w1 = 3494.699, w2 = 3421.078, dw = -0.04462, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 113, w1 = 3473.526, w2 = 3400.354, dw = -0.04435, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 114, w1 = 3452.608, w2 = 3379.879, dw = -0.04408, nw = 1651 zEchelleThAr.0031.ec.fits: ap = 115, w1 = 3431.94, w2 = 3359.65, dw = -0.04381, nw = 1651 EchelleThAr.0035.ec.fits: REFSPEC1 = 'EchelleThAr.0035.ec 1.' zEchelleThAr.0035.ec.fits: ap = 1, w1 = 10811.71, w2 = 10583.53, dw = -0.13829, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 2, w1 = 10611.51, w2 = 10387.56, dw = -0.13573, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 3, w1 = 10418.59, w2 = 10198.71, dw = -0.13326, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 4, w1 = 10232.56, w2 = 10016.61, dw = -0.13088, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 5, w1 = 10053.06, w2 = 9840.891, dw = -0.12859, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 6, w1 = 9879.743, w2 = 9671.236, dw = -0.12637, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 7, w1 = 9712.304, w2 = 9507.332, dw = -0.12423, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 8, w1 = 9550.446, w2 = 9348.891, dw = -0.12215, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 9, w1 = 9393.895, w2 = 9195.645, dw = -0.12015, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 10, w1 = 9242.393, w2 = 9047.343, dw = -0.11821, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 11, w1 = 9095.701, w2 = 8903.748, dw = -0.11634, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 12, w1 = 8953.593, w2 = 8764.641, dw = -0.11452, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 13, w1 = 8815.858, w2 = 8629.814, dw = -0.11275, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 14, w1 = 8682.296, w2 = 8499.073, dw = -0.11104, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 15, w1 = 8552.721, w2 = 8372.235, dw = -0.10939, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 16, w1 = 8426.957, w2 = 8249.127, dw = -0.10778, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 17, w1 = 8304.838, w2 = 8129.587, dw = -0.10621, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 18, w1 = 8186.208, w2 = 8013.463, dw = -0.10469, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 19, w1 = 8070.92, w2 = 7900.61, dw = -0.10322, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 20, w1 = 7958.834, w2 = 7790.892, dw = -0.10178, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 21, w1 = 7849.819, w2 = 7684.18, dw = -0.10039, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 22, w1 = 7743.751, w2 = 7580.352, dw = -0.09903, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 23, w1 = 7640.51, w2 = 7479.292, dw = -0.09771, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 24, w1 = 7539.987, w2 = 7380.892, dw = -0.09642, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 25, w1 = 7442.074, w2 = 7285.048, dw = -0.09517, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 26, w1 = 7346.673, w2 = 7191.662, dw = -0.09395, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 27, w1 = 7253.686, w2 = 7100.639, dw = -0.09276, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 28, w1 = 7163.024, w2 = 7011.893, dw = -0.09159, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 29, w1 = 7074.6, w2 = 6925.337, dw = -0.09046, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 30, w1 = 6988.333, w2 = 6840.893, dw = -0.08936, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 31, w1 = 6904.145, w2 = 6758.484, dw = -0.08828, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 32, w1 = 6821.962, w2 = 6678.036, dw = -0.08723, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 33, w1 = 6741.712, w2 = 6599.482, dw = -0.0862, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 34, w1 = 6663.328, w2 = 6522.754, dw = -0.0852, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 35, w1 = 6586.746, w2 = 6447.79, dw = -0.08422, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 36, w1 = 6511.905, w2 = 6374.53, dw = -0.08326, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 37, w1 = 6438.746, w2 = 6302.917, dw = -0.08232, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 38, w1 = 6367.212, w2 = 6232.894, dw = -0.0814, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 39, w1 = 6297.251, w2 = 6164.411, dw = -0.08051, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 40, w1 = 6228.811, w2 = 6097.417, dw = -0.07963, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 41, w1 = 6161.842, w2 = 6031.863, dw = -0.07878, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 42, w1 = 6096.298, w2 = 5967.704, dw = -0.07794, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 43, w1 = 6032.135, w2 = 5904.896, dw = -0.07711, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 44, w1 = 5969.308, w2 = 5843.396, dw = -0.07631, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 45, w1 = 5907.776, w2 = 5783.165, dw = -0.07552, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 46, w1 = 5847.501, w2 = 5724.163, dw = -0.07475, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 47, w1 = 5788.443, w2 = 5666.352, dw = -0.07399, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 48, w1 = 5730.566, w2 = 5609.698, dw = -0.07325, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 49, w1 = 5673.836, w2 = 5554.166, dw = -0.07253, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 50, w1 = 5618.217, w2 = 5499.723, dw = -0.07181, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 51, w1 = 5563.679, w2 = 5446.337, dw = -0.07112, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 52, w1 = 5510.19, w2 = 5393.978, dw = -0.07043, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 53, w1 = 5457.72, w2 = 5342.616, dw = -0.06976, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 54, w1 = 5406.24, w2 = 5292.223, dw = -0.0691, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 55, w1 = 5355.722, w2 = 5242.772, dw = -0.06845, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 56, w1 = 5306.14, w2 = 5194.238, dw = -0.06782, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 57, w1 = 5257.467, w2 = 5146.593, dw = -0.0672, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 58, w1 = 5209.68, w2 = 5099.815, dw = -0.06658, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 59, w1 = 5162.754, w2 = 5053.88, dw = -0.06598, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 60, w1 = 5116.666, w2 = 5008.766, dw = -0.06539, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 61, w1 = 5071.393, w2 = 4964.45, dw = -0.06481, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 62, w1 = 5026.915, w2 = 4920.911, dw = -0.06424, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 63, w1 = 4983.211, w2 = 4878.13, dw = -0.06369, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 64, w1 = 4940.26, w2 = 4836.087, dw = -0.06314, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 65, w1 = 4898.044, w2 = 4794.762, dw = -0.06259, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 66, w1 = 4856.543, w2 = 4754.138, dw = -0.06206, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 67, w1 = 4815.74, w2 = 4714.197, dw = -0.06154, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 68, w1 = 4775.617, w2 = 4674.921, dw = -0.06103, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 69, w1 = 4736.157, w2 = 4636.295, dw = -0.06052, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 70, w1 = 4697.344, w2 = 4598.303, dw = -0.06003, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 71, w1 = 4659.163, w2 = 4560.928, dw = -0.05954, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 72, w1 = 4621.597, w2 = 4524.156, dw = -0.05906, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 73, w1 = 4584.633, w2 = 4487.973, dw = -0.05858, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 74, w1 = 4548.255, w2 = 4452.364, dw = -0.05812, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 75, w1 = 4512.451, w2 = 4417.316, dw = -0.05766, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 76, w1 = 4477.206, w2 = 4382.816, dw = -0.05721, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 77, w1 = 4442.507, w2 = 4348.85, dw = -0.05676, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 78, w1 = 4408.343, w2 = 4315.408, dw = -0.05632, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 79, w1 = 4374.7, w2 = 4282.476, dw = -0.05589, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 80, w1 = 4341.567, w2 = 4250.044, dw = -0.05547, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 81, w1 = 4308.933, w2 = 4218.099, dw = -0.05505, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 82, w1 = 4276.785, w2 = 4186.632, dw = -0.05464, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 83, w1 = 4245.114, w2 = 4155.63, dw = -0.05423, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 84, w1 = 4213.909, w2 = 4125.085, dw = -0.05383, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 85, w1 = 4183.16, w2 = 4094.986, dw = -0.05344, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 86, w1 = 4152.856, w2 = 4065.324, dw = -0.05305, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 87, w1 = 4122.989, w2 = 4036.088, dw = -0.05267, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 88, w1 = 4093.548, w2 = 4007.27, dw = -0.05229, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 89, w1 = 4064.525, w2 = 3978.862, dw = -0.05192, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 90, w1 = 4035.911, w2 = 3950.853, dw = -0.05155, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 91, w1 = 4007.697, w2 = 3923.237, dw = -0.05119, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 92, w1 = 3979.876, w2 = 3896.004, dw = -0.05083, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 93, w1 = 3952.438, w2 = 3869.148, dw = -0.05048, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 94, w1 = 3925.376, w2 = 3842.659, dw = -0.05013, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 95, w1 = 3898.683, w2 = 3816.531, dw = -0.04979, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 96, w1 = 3872.35, w2 = 3790.756, dw = -0.04945, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 97, w1 = 3846.371, w2 = 3765.328, dw = -0.04912, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 98, w1 = 3820.738, w2 = 3740.239, dw = -0.04879, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 99, w1 = 3795.446, w2 = 3715.483, dw = -0.04846, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 100, w1 = 3770.486, w2 = 3691.052, dw = -0.04814, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 101, w1 = 3745.852, w2 = 3666.941, dw = -0.04782, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 102, w1 = 3721.539, w2 = 3643.144, dw = -0.04751, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 103, w1 = 3697.539, w2 = 3619.654, dw = -0.0472, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 104, w1 = 3673.847, w2 = 3596.465, dw = -0.0469, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 105, w1 = 3650.458, w2 = 3573.573, dw = -0.0466, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 106, w1 = 3627.364, w2 = 3550.97, dw = -0.0463, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 107, w1 = 3604.561, w2 = 3528.652, dw = -0.04601, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 108, w1 = 3582.043, w2 = 3506.613, dw = -0.04572, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 109, w1 = 3559.805, w2 = 3484.848, dw = -0.04543, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 110, w1 = 3537.842, w2 = 3463.353, dw = -0.04515, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 111, w1 = 3516.148, w2 = 3442.121, dw = -0.04487, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 112, w1 = 3494.719, w2 = 3421.149, dw = -0.04459, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 113, w1 = 3473.55, w2 = 3400.431, dw = -0.04431, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 114, w1 = 3452.637, w2 = 3379.963, dw = -0.04404, nw = 1651 zEchelleThAr.0035.ec.fits: ap = 115, w1 = 3431.973, w2 = 3359.741, dw = -0.04378, nw = 1651 EchelleThAr.0040.ec.fits: REFSPEC1 = 'EchelleThAr.0040.ec 1.' zEchelleThAr.0040.ec.fits: ap = 1, w1 = 10811.73, w2 = 10583.54, dw = -0.1383, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 2, w1 = 10611.53, w2 = 10387.56, dw = -0.13574, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 3, w1 = 10418.61, w2 = 10198.72, dw = -0.13327, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 4, w1 = 10232.57, w2 = 10016.62, dw = -0.13088, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 5, w1 = 10053.07, w2 = 9840.902, dw = -0.12859, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 6, w1 = 9879.752, w2 = 9671.248, dw = -0.12637, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 7, w1 = 9712.311, w2 = 9507.345, dw = -0.12422, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 8, w1 = 9550.452, w2 = 9348.904, dw = -0.12215, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 9, w1 = 9393.899, w2 = 9195.659, dw = -0.12015, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 10, w1 = 9242.396, w2 = 9047.356, dw = -0.11821, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 11, w1 = 9095.703, w2 = 8903.762, dw = -0.11633, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 12, w1 = 8953.594, w2 = 8764.654, dw = -0.11451, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 13, w1 = 8815.857, w2 = 8629.827, dw = -0.11275, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 14, w1 = 8682.295, w2 = 8499.085, dw = -0.11104, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 15, w1 = 8552.719, w2 = 8372.246, dw = -0.10938, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 16, w1 = 8426.954, w2 = 8249.138, dw = -0.10777, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 17, w1 = 8304.834, w2 = 8129.597, dw = -0.1062, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 18, w1 = 8186.204, w2 = 8013.472, dw = -0.10469, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 19, w1 = 8070.915, w2 = 7900.619, dw = -0.10321, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 20, w1 = 7958.829, w2 = 7790.9, dw = -0.10178, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 21, w1 = 7849.813, w2 = 7684.187, dw = -0.10038, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 22, w1 = 7743.744, w2 = 7580.358, dw = -0.09902, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 23, w1 = 7640.504, w2 = 7479.297, dw = -0.0977, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 24, w1 = 7539.98, w2 = 7380.897, dw = -0.09641, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 25, w1 = 7442.068, w2 = 7285.052, dw = -0.09516, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 26, w1 = 7346.666, w2 = 7191.664, dw = -0.09394, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 27, w1 = 7253.679, w2 = 7100.641, dw = -0.09275, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 28, w1 = 7163.017, w2 = 7011.894, dw = -0.09159, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 29, w1 = 7074.593, w2 = 6925.338, dw = -0.09046, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 30, w1 = 6988.327, w2 = 6840.893, dw = -0.08935, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 31, w1 = 6904.139, w2 = 6758.483, dw = -0.08828, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 32, w1 = 6821.955, w2 = 6678.035, dw = -0.08722, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 33, w1 = 6741.706, w2 = 6599.48, dw = -0.0862, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 34, w1 = 6663.323, w2 = 6522.752, dw = -0.08519, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 35, w1 = 6586.741, w2 = 6447.788, dw = -0.08421, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 36, w1 = 6511.901, w2 = 6374.527, dw = -0.08326, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 37, w1 = 6438.742, w2 = 6302.914, dw = -0.08232, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 38, w1 = 6367.209, w2 = 6232.891, dw = -0.0814, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 39, w1 = 6297.248, w2 = 6164.408, dw = -0.08051, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 40, w1 = 6228.808, w2 = 6097.413, dw = -0.07963, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 41, w1 = 6161.84, w2 = 6031.859, dw = -0.07878, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 42, w1 = 6096.297, w2 = 5967.7, dw = -0.07794, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 43, w1 = 6032.134, w2 = 5904.892, dw = -0.07712, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 44, w1 = 5969.307, w2 = 5843.393, dw = -0.07631, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 45, w1 = 5907.777, w2 = 5783.161, dw = -0.07552, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 46, w1 = 5847.502, w2 = 5724.159, dw = -0.07475, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 47, w1 = 5788.444, w2 = 5666.349, dw = -0.074, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 48, w1 = 5730.568, w2 = 5609.695, dw = -0.07326, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 49, w1 = 5673.838, w2 = 5554.163, dw = -0.07253, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 50, w1 = 5618.221, w2 = 5499.72, dw = -0.07182, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 51, w1 = 5563.683, w2 = 5446.335, dw = -0.07112, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 52, w1 = 5510.194, w2 = 5393.976, dw = -0.07044, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 53, w1 = 5457.725, w2 = 5342.614, dw = -0.06976, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 54, w1 = 5406.245, w2 = 5292.222, dw = -0.0691, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 55, w1 = 5355.728, w2 = 5242.772, dw = -0.06846, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 56, w1 = 5306.146, w2 = 5194.237, dw = -0.06782, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 57, w1 = 5257.474, w2 = 5146.594, dw = -0.0672, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 58, w1 = 5209.687, w2 = 5099.816, dw = -0.06659, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 59, w1 = 5162.761, w2 = 5053.882, dw = -0.06599, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 60, w1 = 5116.673, w2 = 5008.767, dw = -0.0654, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 61, w1 = 5071.401, w2 = 4964.452, dw = -0.06482, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 62, w1 = 5026.923, w2 = 4920.914, dw = -0.06425, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 63, w1 = 4983.219, w2 = 4878.133, dw = -0.06369, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 64, w1 = 4940.268, w2 = 4836.09, dw = -0.06314, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 65, w1 = 4898.051, w2 = 4794.766, dw = -0.0626, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 66, w1 = 4856.55, w2 = 4754.142, dw = -0.06207, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 67, w1 = 4815.747, w2 = 4714.201, dw = -0.06154, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 68, w1 = 4775.624, w2 = 4674.926, dw = -0.06103, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 69, w1 = 4736.164, w2 = 4636.3, dw = -0.06052, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 70, w1 = 4697.351, w2 = 4598.307, dw = -0.06003, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 71, w1 = 4659.169, w2 = 4560.932, dw = -0.05954, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 72, w1 = 4621.603, w2 = 4524.16, dw = -0.05906, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 73, w1 = 4584.637, w2 = 4487.977, dw = -0.05858, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 74, w1 = 4548.259, w2 = 4452.368, dw = -0.05812, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 75, w1 = 4512.454, w2 = 4417.319, dw = -0.05766, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 76, w1 = 4477.208, w2 = 4382.819, dw = -0.05721, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 77, w1 = 4442.508, w2 = 4348.853, dw = -0.05676, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 78, w1 = 4408.343, w2 = 4315.41, dw = -0.05632, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 79, w1 = 4374.699, w2 = 4282.478, dw = -0.05589, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 80, w1 = 4341.564, w2 = 4250.045, dw = -0.05547, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 81, w1 = 4308.928, w2 = 4218.099, dw = -0.05505, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 82, w1 = 4276.779, w2 = 4186.631, dw = -0.05464, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 83, w1 = 4245.107, w2 = 4155.628, dw = -0.05423, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 84, w1 = 4213.9, w2 = 4125.082, dw = -0.05383, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 85, w1 = 4183.148, w2 = 4094.981, dw = -0.05343, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 86, w1 = 4152.843, w2 = 4065.317, dw = -0.05305, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 87, w1 = 4122.973, w2 = 4036.08, dw = -0.05266, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 88, w1 = 4093.53, w2 = 4007.26, dw = -0.05228, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 89, w1 = 4064.504, w2 = 3978.849, dw = -0.05191, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 90, w1 = 4035.888, w2 = 3950.839, dw = -0.05154, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 91, w1 = 4007.671, w2 = 3923.22, dw = -0.05118, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 92, w1 = 3979.846, w2 = 3895.985, dw = -0.05083, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 93, w1 = 3952.405, w2 = 3869.125, dw = -0.05047, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 94, w1 = 3925.34, w2 = 3842.634, dw = -0.05013, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 95, w1 = 3898.643, w2 = 3816.502, dw = -0.04978, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 96, w1 = 3872.307, w2 = 3790.724, dw = -0.04944, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 97, w1 = 3846.324, w2 = 3765.292, dw = -0.04911, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 98, w1 = 3820.688, w2 = 3740.199, dw = -0.04878, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 99, w1 = 3795.391, w2 = 3715.439, dw = -0.04846, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 100, w1 = 3770.426, w2 = 3691.004, dw = -0.04813, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 101, w1 = 3745.788, w2 = 3666.889, dw = -0.04782, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 102, w1 = 3721.47, w2 = 3643.087, dw = -0.04751, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 103, w1 = 3697.465, w2 = 3619.591, dw = -0.0472, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 104, w1 = 3673.769, w2 = 3596.398, dw = -0.04689, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 105, w1 = 3650.373, w2 = 3573.499, dw = -0.04659, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 106, w1 = 3627.274, w2 = 3550.89, dw = -0.04629, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 107, w1 = 3604.466, w2 = 3528.566, dw = -0.046, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 108, w1 = 3581.942, w2 = 3506.521, dw = -0.04571, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 109, w1 = 3559.698, w2 = 3484.749, dw = -0.04542, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 110, w1 = 3537.728, w2 = 3463.246, dw = -0.04514, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 111, w1 = 3516.028, w2 = 3442.008, dw = -0.04486, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 112, w1 = 3494.592, w2 = 3421.027, dw = -0.04458, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 113, w1 = 3473.416, w2 = 3400.302, dw = -0.04431, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 114, w1 = 3452.495, w2 = 3379.826, dw = -0.04404, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 115, w1 = 3431.824, w2 = 3359.595, dw = -0.04378, nw = 1651 EchelleThAr.0041.ec.fits: REFSPEC1 = 'EchelleThAr.0041.ec 1.' zEchelleThAr.0041.ec.fits: ap = 1, w1 = 10811.74, w2 = 10583.53, dw = -0.13831, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 2, w1 = 10611.54, w2 = 10387.56, dw = -0.13575, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 3, w1 = 10418.61, w2 = 10198.71, dw = -0.13328, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 4, w1 = 10232.58, w2 = 10016.61, dw = -0.13089, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 5, w1 = 10053.08, w2 = 9840.893, dw = -0.1286, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 6, w1 = 9879.759, w2 = 9671.239, dw = -0.12638, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 7, w1 = 9712.318, w2 = 9507.336, dw = -0.12423, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 8, w1 = 9550.458, w2 = 9348.895, dw = -0.12216, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 9, w1 = 9393.905, w2 = 9195.65, dw = -0.12015, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 10, w1 = 9242.402, w2 = 9047.347, dw = -0.11821, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 11, w1 = 9095.708, w2 = 8903.753, dw = -0.11634, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 12, w1 = 8953.599, w2 = 8764.646, dw = -0.11452, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 13, w1 = 8815.862, w2 = 8629.818, dw = -0.11275, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 14, w1 = 8682.3, w2 = 8499.077, dw = -0.11104, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 15, w1 = 8552.724, w2 = 8372.238, dw = -0.10939, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 16, w1 = 8426.959, w2 = 8249.129, dw = -0.10778, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 17, w1 = 8304.839, w2 = 8129.589, dw = -0.10621, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 18, w1 = 8186.208, w2 = 8013.464, dw = -0.10469, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 19, w1 = 8070.92, w2 = 7900.611, dw = -0.10322, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 20, w1 = 7958.833, w2 = 7790.892, dw = -0.10178, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 21, w1 = 7849.818, w2 = 7684.179, dw = -0.10039, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 22, w1 = 7743.749, w2 = 7580.35, dw = -0.09903, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 23, w1 = 7640.508, w2 = 7479.29, dw = -0.09771, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 24, w1 = 7539.985, w2 = 7380.89, dw = -0.09642, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 25, w1 = 7442.072, w2 = 7285.045, dw = -0.09517, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 26, w1 = 7346.67, w2 = 7191.658, dw = -0.09395, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 27, w1 = 7253.683, w2 = 7100.635, dw = -0.09276, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 28, w1 = 7163.021, w2 = 7011.888, dw = -0.0916, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 29, w1 = 7074.598, w2 = 6925.332, dw = -0.09046, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 30, w1 = 6988.331, w2 = 6840.887, dw = -0.08936, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 31, w1 = 6904.143, w2 = 6758.477, dw = -0.08828, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 32, w1 = 6821.959, w2 = 6678.03, dw = -0.08723, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 33, w1 = 6741.71, w2 = 6599.475, dw = -0.0862, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 34, w1 = 6663.326, w2 = 6522.747, dw = -0.0852, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 35, w1 = 6586.745, w2 = 6447.783, dw = -0.08422, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 36, w1 = 6511.904, w2 = 6374.523, dw = -0.08326, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 37, w1 = 6438.745, w2 = 6302.909, dw = -0.08232, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 38, w1 = 6367.211, w2 = 6232.887, dw = -0.08141, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 39, w1 = 6297.25, w2 = 6164.404, dw = -0.08051, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 40, w1 = 6228.81, w2 = 6097.41, dw = -0.07964, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 41, w1 = 6161.842, w2 = 6031.856, dw = -0.07878, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 42, w1 = 6096.299, w2 = 5967.697, dw = -0.07794, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 43, w1 = 6032.135, w2 = 5904.889, dw = -0.07712, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 44, w1 = 5969.309, w2 = 5843.39, dw = -0.07631, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 45, w1 = 5907.778, w2 = 5783.159, dw = -0.07553, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 46, w1 = 5847.502, w2 = 5724.157, dw = -0.07475, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 47, w1 = 5788.445, w2 = 5666.347, dw = -0.074, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 48, w1 = 5730.568, w2 = 5609.694, dw = -0.07326, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 49, w1 = 5673.838, w2 = 5554.162, dw = -0.07253, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 50, w1 = 5618.22, w2 = 5499.719, dw = -0.07182, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 51, w1 = 5563.683, w2 = 5446.334, dw = -0.07112, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 52, w1 = 5510.194, w2 = 5393.975, dw = -0.07044, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 53, w1 = 5457.724, w2 = 5342.614, dw = -0.06976, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 54, w1 = 5406.244, w2 = 5292.222, dw = -0.0691, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 55, w1 = 5355.726, w2 = 5242.772, dw = -0.06846, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 56, w1 = 5306.144, w2 = 5194.237, dw = -0.06782, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 57, w1 = 5257.472, w2 = 5146.594, dw = -0.0672, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 58, w1 = 5209.685, w2 = 5099.816, dw = -0.06659, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 59, w1 = 5162.759, w2 = 5053.882, dw = -0.06599, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 60, w1 = 5116.671, w2 = 5008.768, dw = -0.0654, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 61, w1 = 5071.398, w2 = 4964.453, dw = -0.06482, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 62, w1 = 5026.92, w2 = 4920.915, dw = -0.06425, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 63, w1 = 4983.216, w2 = 4878.134, dw = -0.06369, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 64, w1 = 4940.265, w2 = 4836.091, dw = -0.06314, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 65, w1 = 4898.049, w2 = 4794.767, dw = -0.0626, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 66, w1 = 4856.548, w2 = 4754.143, dw = -0.06206, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 67, w1 = 4815.745, w2 = 4714.202, dw = -0.06154, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 68, w1 = 4775.622, w2 = 4674.927, dw = -0.06103, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 69, w1 = 4736.162, w2 = 4636.301, dw = -0.06052, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 70, w1 = 4697.349, w2 = 4598.309, dw = -0.06002, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 71, w1 = 4659.167, w2 = 4560.934, dw = -0.05954, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 72, w1 = 4621.601, w2 = 4524.162, dw = -0.05905, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 73, w1 = 4584.637, w2 = 4487.979, dw = -0.05858, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 74, w1 = 4548.259, w2 = 4452.37, dw = -0.05811, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 75, w1 = 4512.454, w2 = 4417.321, dw = -0.05766, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 76, w1 = 4477.209, w2 = 4382.821, dw = -0.0572, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 77, w1 = 4442.51, w2 = 4348.855, dw = -0.05676, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 78, w1 = 4408.345, w2 = 4315.412, dw = -0.05632, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 79, w1 = 4374.702, w2 = 4282.48, dw = -0.05589, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 80, w1 = 4341.568, w2 = 4250.047, dw = -0.05547, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 81, w1 = 4308.933, w2 = 4218.101, dw = -0.05505, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 82, w1 = 4276.785, w2 = 4186.632, dw = -0.05464, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 83, w1 = 4245.113, w2 = 4155.63, dw = -0.05423, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 84, w1 = 4213.908, w2 = 4125.083, dw = -0.05383, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 85, w1 = 4183.158, w2 = 4094.983, dw = -0.05344, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 86, w1 = 4152.853, w2 = 4065.318, dw = -0.05305, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 87, w1 = 4122.985, w2 = 4036.081, dw = -0.05267, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 88, w1 = 4093.543, w2 = 4007.261, dw = -0.05229, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 89, w1 = 4064.519, w2 = 3978.85, dw = -0.05192, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 90, w1 = 4035.904, w2 = 3950.839, dw = -0.05155, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 91, w1 = 4007.69, w2 = 3923.22, dw = -0.05119, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 92, w1 = 3979.867, w2 = 3895.985, dw = -0.05084, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 93, w1 = 3952.428, w2 = 3869.125, dw = -0.05049, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 94, w1 = 3925.365, w2 = 3842.633, dw = -0.05014, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 95, w1 = 3898.67, w2 = 3816.501, dw = -0.0498, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 96, w1 = 3872.337, w2 = 3790.723, dw = -0.04946, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 97, w1 = 3846.356, w2 = 3765.291, dw = -0.04913, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 98, w1 = 3820.722, w2 = 3740.198, dw = -0.0488, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 99, w1 = 3795.428, w2 = 3715.437, dw = -0.04848, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 100, w1 = 3770.467, w2 = 3691.001, dw = -0.04816, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 101, w1 = 3745.832, w2 = 3666.886, dw = -0.04785, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 102, w1 = 3721.517, w2 = 3643.083, dw = -0.04754, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 103, w1 = 3697.515, w2 = 3619.587, dw = -0.04723, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 104, w1 = 3673.822, w2 = 3596.393, dw = -0.04693, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 105, w1 = 3650.43, w2 = 3573.494, dw = -0.04663, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 106, w1 = 3627.335, w2 = 3550.885, dw = -0.04633, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 107, w1 = 3604.53, w2 = 3528.56, dw = -0.04604, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 108, w1 = 3582.011, w2 = 3506.514, dw = -0.04576, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 109, w1 = 3559.771, w2 = 3484.742, dw = -0.04547, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 110, w1 = 3537.805, w2 = 3463.238, dw = -0.04519, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 111, w1 = 3516.11, w2 = 3441.999, dw = -0.04492, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 112, w1 = 3494.679, w2 = 3421.018, dw = -0.04464, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 113, w1 = 3473.508, w2 = 3400.292, dw = -0.04437, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 114, w1 = 3452.592, w2 = 3379.815, dw = -0.04411, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 115, w1 = 3431.926, w2 = 3359.583, dw = -0.04384, nw = 1651 Continuum fitting the spectra... Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Combining spectra... Nov 3 12:26: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141029.0021.ec.fits[ 1] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 2] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 3] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 4] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 5] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 6] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 7] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 8] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 9] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 10] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 11] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 12] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 13] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 14] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 15] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 16] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 17] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 18] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 19] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 20] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 21] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 22] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 23] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 24] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 25] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 26] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 27] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 28] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 29] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 30] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 31] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 32] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 33] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 34] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 35] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 36] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 37] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 38] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 39] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 40] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 41] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 42] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 43] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 44] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 45] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 46] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 47] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 48] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 49] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 50] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 51] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 52] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 53] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 54] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 55] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 56] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 57] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 58] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 59] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 60] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 61] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 62] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 63] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 64] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 65] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 66] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 67] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 68] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 69] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 70] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 71] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 72] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 73] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 74] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 75] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 76] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 77] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 78] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 79] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 80] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 81] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 82] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 83] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 84] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 85] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 86] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 87] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 88] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 89] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 90] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 91] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 92] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 93] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 94] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 95] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 96] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 97] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 98] 900.0 1.000 0. 0.009 141029.0021.ec.fits[ 99] 900.0 1.000 0. 0.009 141029.0021.ec.fits[100] 900.0 1.000 0. 0.009 141029.0021.ec.fits[101] 900.0 1.000 0. 0.009 141029.0021.ec.fits[102] 900.0 1.000 0. 0.009 141029.0021.ec.fits[103] 900.0 1.000 0. 0.009 141029.0021.ec.fits[104] 900.0 1.000 0. 0.009 141029.0021.ec.fits[105] 900.0 1.000 0. 0.009 141029.0021.ec.fits[106] 900.0 1.000 0. 0.009 141029.0021.ec.fits[107] 900.0 1.000 0. 0.009 141029.0021.ec.fits[108] 900.0 1.000 0. 0.009 141029.0021.ec.fits[109] 900.0 1.000 0. 0.009 141029.0021.ec.fits[110] 900.0 1.000 0. 0.009 141029.0021.ec.fits[111] 900.0 1.000 0. 0.009 141029.0021.ec.fits[112] 900.0 1.000 0. 0.009 141029.0021.ec.fits[113] 900.0 1.000 0. 0.009 141029.0021.ec.fits[114] 900.0 1.000 0. 0.009 141029.0021.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum141029.0021.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.62, w2 = 10811.76, dw = 0.04385857, nw = 169914., dtype = 0 Nov 3 12:26: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141029.0022.ec.fits[ 1] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 2] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 3] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 4] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 5] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 6] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 7] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 8] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 9] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 10] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 11] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 12] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 13] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 14] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 15] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 16] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 17] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 18] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 19] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 20] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 21] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 22] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 23] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 24] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 25] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 26] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 27] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 28] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 29] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 30] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 31] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 32] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 33] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 34] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 35] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 36] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 37] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 38] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 39] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 40] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 41] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 42] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 43] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 44] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 45] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 46] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 47] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 48] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 49] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 50] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 51] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 52] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 53] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 54] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 55] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 56] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 57] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 58] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 59] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 60] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 61] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 62] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 63] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 64] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 65] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 66] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 67] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 68] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 69] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 70] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 71] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 72] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 73] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 74] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 75] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 76] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 77] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 78] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 79] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 80] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 81] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 82] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 83] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 84] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 85] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 86] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 87] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 88] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 89] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 90] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 91] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 92] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 93] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 94] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 95] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 96] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 97] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 98] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[ 99] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[100] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[101] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[102] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[103] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[104] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[105] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[106] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[107] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[108] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[109] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[110] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[111] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[112] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[113] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[114] 1200.0 1.000 0. 0.009 141029.0022.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum141029.0022.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.616, w2 = 10811.77, dw = 0.04386201, nw = 169901., dtype = 0 Nov 3 12:27: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141029.0023.ec.fits[ 1] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 2] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 3] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 4] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 5] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 6] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 7] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 8] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 9] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 10] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 11] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 12] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 13] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 14] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 15] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 16] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 17] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 18] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 19] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 20] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 21] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 22] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 23] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 24] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 25] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 26] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 27] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 28] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 29] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 30] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 31] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 32] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 33] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 34] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 35] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 36] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 37] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 38] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 39] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 40] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 41] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 42] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 43] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 44] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 45] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 46] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 47] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 48] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 49] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 50] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 51] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 52] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 53] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 54] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 55] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 56] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 57] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 58] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 59] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 60] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 61] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 62] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 63] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 64] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 65] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 66] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 67] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 68] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 69] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 70] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 71] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 72] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 73] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 74] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 75] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 76] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 77] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 78] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 79] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 80] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 81] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 82] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 83] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 84] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 85] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 86] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 87] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 88] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 89] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 90] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 91] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 92] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 93] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 94] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 95] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 96] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 97] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 98] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[ 99] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[100] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[101] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[102] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[103] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[104] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[105] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[106] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[107] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[108] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[109] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[110] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[111] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[112] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[113] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[114] 1200.0 1.000 0. 0.009 141029.0023.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum141029.0023.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.613, w2 = 10811.78, dw = 0.04386545, nw = 169888., dtype = 0 Nov 3 12:27: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141029.0028.ec.fits[ 1] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 2] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 3] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 4] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 5] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 6] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 7] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 8] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 9] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 10] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 11] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 12] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 13] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 14] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 15] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 16] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 17] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 18] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 19] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 20] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 21] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 22] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 23] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 24] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 25] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 26] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 27] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 28] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 29] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 30] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 31] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 32] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 33] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 34] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 35] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 36] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 37] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 38] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 39] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 40] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 41] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 42] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 43] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 44] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 45] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 46] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 47] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 48] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 49] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 50] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 51] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 52] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 53] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 54] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 55] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 56] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 57] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 58] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 59] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 60] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 61] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 62] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 63] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 64] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 65] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 66] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 67] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 68] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 69] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 70] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 71] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 72] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 73] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 74] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 75] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 76] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 77] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 78] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 79] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 80] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 81] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 82] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 83] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 84] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 85] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 86] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 87] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 88] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 89] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 90] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 91] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 92] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 93] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 94] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 95] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 96] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 97] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 98] 900.0 1.000 0. 0.009 141029.0028.ec.fits[ 99] 900.0 1.000 0. 0.009 141029.0028.ec.fits[100] 900.0 1.000 0. 0.009 141029.0028.ec.fits[101] 900.0 1.000 0. 0.009 141029.0028.ec.fits[102] 900.0 1.000 0. 0.009 141029.0028.ec.fits[103] 900.0 1.000 0. 0.009 141029.0028.ec.fits[104] 900.0 1.000 0. 0.009 141029.0028.ec.fits[105] 900.0 1.000 0. 0.009 141029.0028.ec.fits[106] 900.0 1.000 0. 0.009 141029.0028.ec.fits[107] 900.0 1.000 0. 0.009 141029.0028.ec.fits[108] 900.0 1.000 0. 0.009 141029.0028.ec.fits[109] 900.0 1.000 0. 0.009 141029.0028.ec.fits[110] 900.0 1.000 0. 0.009 141029.0028.ec.fits[111] 900.0 1.000 0. 0.009 141029.0028.ec.fits[112] 900.0 1.000 0. 0.009 141029.0028.ec.fits[113] 900.0 1.000 0. 0.009 141029.0028.ec.fits[114] 900.0 1.000 0. 0.009 141029.0028.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum141029.0028.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.616, w2 = 10811.78, dw = 0.04385899, nw = 169913., dtype = 0 Nov 3 12:28: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141029.0029.ec.fits[ 1] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 2] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 3] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 4] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 5] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 6] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 7] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 8] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 9] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 10] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 11] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 12] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 13] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 14] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 15] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 16] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 17] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 18] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 19] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 20] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 21] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 22] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 23] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 24] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 25] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 26] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 27] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 28] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 29] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 30] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 31] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 32] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 33] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 34] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 35] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 36] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 37] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 38] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 39] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 40] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 41] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 42] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 43] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 44] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 45] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 46] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 47] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 48] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 49] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 50] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 51] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 52] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 53] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 54] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 55] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 56] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 57] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 58] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 59] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 60] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 61] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 62] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 63] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 64] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 65] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 66] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 67] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 68] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 69] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 70] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 71] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 72] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 73] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 74] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 75] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 76] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 77] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 78] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 79] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 80] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 81] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 82] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 83] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 84] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 85] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 86] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 87] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 88] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 89] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 90] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 91] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 92] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 93] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 94] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 95] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 96] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 97] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 98] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[ 99] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[100] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[101] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[102] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[103] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[104] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[105] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[106] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[107] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[108] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[109] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[110] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[111] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[112] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[113] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[114] 1200.0 1.000 0. 0.009 141029.0029.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum141029.0029.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.63, w2 = 10811.77, dw = 0.04383999, nw = 169986., dtype = 0 Nov 3 12:29: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141029.0030.ec.fits[ 1] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 2] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 3] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 4] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 5] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 6] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 7] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 8] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 9] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 10] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 11] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 12] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 13] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 14] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 15] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 16] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 17] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 18] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 19] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 20] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 21] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 22] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 23] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 24] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 25] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 26] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 27] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 28] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 29] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 30] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 31] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 32] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 33] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 34] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 35] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 36] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 37] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 38] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 39] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 40] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 41] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 42] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 43] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 44] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 45] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 46] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 47] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 48] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 49] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 50] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 51] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 52] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 53] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 54] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 55] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 56] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 57] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 58] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 59] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 60] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 61] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 62] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 63] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 64] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 65] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 66] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 67] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 68] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 69] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 70] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 71] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 72] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 73] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 74] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 75] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 76] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 77] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 78] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 79] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 80] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 81] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 82] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 83] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 84] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 85] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 86] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 87] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 88] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 89] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 90] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 91] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 92] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 93] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 94] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 95] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 96] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 97] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 98] 900.0 1.000 0. 0.009 141029.0030.ec.fits[ 99] 900.0 1.000 0. 0.009 141029.0030.ec.fits[100] 900.0 1.000 0. 0.009 141029.0030.ec.fits[101] 900.0 1.000 0. 0.009 141029.0030.ec.fits[102] 900.0 1.000 0. 0.009 141029.0030.ec.fits[103] 900.0 1.000 0. 0.009 141029.0030.ec.fits[104] 900.0 1.000 0. 0.009 141029.0030.ec.fits[105] 900.0 1.000 0. 0.009 141029.0030.ec.fits[106] 900.0 1.000 0. 0.009 141029.0030.ec.fits[107] 900.0 1.000 0. 0.009 141029.0030.ec.fits[108] 900.0 1.000 0. 0.009 141029.0030.ec.fits[109] 900.0 1.000 0. 0.009 141029.0030.ec.fits[110] 900.0 1.000 0. 0.009 141029.0030.ec.fits[111] 900.0 1.000 0. 0.009 141029.0030.ec.fits[112] 900.0 1.000 0. 0.009 141029.0030.ec.fits[113] 900.0 1.000 0. 0.009 141029.0030.ec.fits[114] 900.0 1.000 0. 0.009 141029.0030.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum141029.0030.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.643, w2 = 10811.76, dw = 0.04382128, nw = 170058., dtype = 0 Nov 3 12:29: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141029.0032.ec.fits[ 1] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 2] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 3] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 4] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 5] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 6] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 7] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 8] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 9] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 10] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 11] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 12] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 13] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 14] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 15] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 16] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 17] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 18] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 19] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 20] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 21] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 22] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 23] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 24] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 25] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 26] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 27] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 28] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 29] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 30] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 31] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 32] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 33] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 34] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 35] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 36] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 37] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 38] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 39] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 40] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 41] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 42] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 43] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 44] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 45] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 46] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 47] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 48] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 49] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 50] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 51] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 52] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 53] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 54] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 55] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 56] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 57] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 58] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 59] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 60] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 61] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 62] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 63] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 64] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 65] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 66] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 67] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 68] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 69] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 70] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 71] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 72] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 73] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 74] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 75] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 76] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 77] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 78] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 79] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 80] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 81] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 82] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 83] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 84] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 85] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 86] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 87] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 88] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 89] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 90] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 91] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 92] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 93] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 94] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 95] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 96] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 97] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 98] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[ 99] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[100] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[101] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[102] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[103] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[104] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[105] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[106] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[107] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[108] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[109] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[110] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[111] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[112] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[113] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[114] 1500.0 1.000 0. 0.009 141029.0032.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum141029.0032.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.67, w2 = 10811.74, dw = 0.0438043, nw = 170123., dtype = 0 Nov 3 12:30: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141029.0033.ec.fits[ 1] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 2] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 3] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 4] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 5] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 6] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 7] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 8] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 9] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 10] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 11] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 12] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 13] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 14] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 15] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 16] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 17] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 18] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 19] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 20] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 21] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 22] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 23] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 24] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 25] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 26] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 27] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 28] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 29] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 30] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 31] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 32] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 33] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 34] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 35] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 36] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 37] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 38] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 39] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 40] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 41] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 42] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 43] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 44] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 45] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 46] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 47] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 48] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 49] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 50] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 51] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 52] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 53] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 54] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 55] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 56] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 57] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 58] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 59] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 60] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 61] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 62] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 63] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 64] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 65] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 66] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 67] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 68] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 69] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 70] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 71] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 72] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 73] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 74] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 75] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 76] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 77] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 78] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 79] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 80] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 81] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 82] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 83] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 84] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 85] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 86] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 87] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 88] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 89] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 90] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 91] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 92] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 93] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 94] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 95] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 96] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 97] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 98] 600.0 1.000 0. 0.009 141029.0033.ec.fits[ 99] 600.0 1.000 0. 0.009 141029.0033.ec.fits[100] 600.0 1.000 0. 0.009 141029.0033.ec.fits[101] 600.0 1.000 0. 0.009 141029.0033.ec.fits[102] 600.0 1.000 0. 0.009 141029.0033.ec.fits[103] 600.0 1.000 0. 0.009 141029.0033.ec.fits[104] 600.0 1.000 0. 0.009 141029.0033.ec.fits[105] 600.0 1.000 0. 0.009 141029.0033.ec.fits[106] 600.0 1.000 0. 0.009 141029.0033.ec.fits[107] 600.0 1.000 0. 0.009 141029.0033.ec.fits[108] 600.0 1.000 0. 0.009 141029.0033.ec.fits[109] 600.0 1.000 0. 0.009 141029.0033.ec.fits[110] 600.0 1.000 0. 0.009 141029.0033.ec.fits[111] 600.0 1.000 0. 0.009 141029.0033.ec.fits[112] 600.0 1.000 0. 0.009 141029.0033.ec.fits[113] 600.0 1.000 0. 0.009 141029.0033.ec.fits[114] 600.0 1.000 0. 0.009 141029.0033.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sum141029.0033.ec.fits, ncombine = 115, exptime = 68999.99 w1 = 3359.696, w2 = 10811.73, dw = 0.04379428, nw = 170161., dtype = 0 Nov 3 12:30: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141029.0034.ec.fits[ 1] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 2] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 3] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 4] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 5] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 6] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 7] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 8] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 9] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 10] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 11] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 12] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 13] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 14] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 15] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 16] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 17] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 18] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 19] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 20] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 21] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 22] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 23] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 24] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 25] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 26] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 27] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 28] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 29] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 30] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 31] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 32] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 33] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 34] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 35] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 36] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 37] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 38] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 39] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 40] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 41] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 42] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 43] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 44] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 45] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 46] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 47] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 48] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 49] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 50] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 51] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 52] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 53] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 54] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 55] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 56] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 57] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 58] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 59] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 60] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 61] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 62] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 63] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 64] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 65] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 66] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 67] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 68] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 69] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 70] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 71] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 72] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 73] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 74] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 75] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 76] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 77] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 78] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 79] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 80] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 81] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 82] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 83] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 84] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 85] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 86] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 87] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 88] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 89] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 90] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 91] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 92] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 93] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 94] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 95] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 96] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 97] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 98] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[ 99] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[100] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[101] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[102] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[103] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[104] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[105] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[106] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[107] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[108] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[109] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[110] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[111] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[112] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[113] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[114] 1500.0 1.000 0. 0.009 141029.0034.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum141029.0034.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.722, w2 = 10811.72, dw = 0.04378454, nw = 170198., dtype = 0 Nov 3 12:31: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141029.0036.ec.fits[ 1] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 2] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 3] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 4] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 5] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 6] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 7] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 8] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 9] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 10] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 11] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 12] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 13] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 14] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 15] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 16] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 17] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 18] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 19] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 20] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 21] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 22] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 23] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 24] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 25] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 26] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 27] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 28] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 29] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 30] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 31] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 32] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 33] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 34] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 35] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 36] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 37] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 38] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 39] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 40] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 41] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 42] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 43] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 44] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 45] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 46] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 47] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 48] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 49] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 50] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 51] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 52] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 53] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 54] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 55] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 56] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 57] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 58] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 59] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 60] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 61] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 62] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 63] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 64] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 65] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 66] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 67] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 68] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 69] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 70] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 71] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 72] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 73] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 74] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 75] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 76] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 77] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 78] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 79] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 80] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 81] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 82] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 83] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 84] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 85] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 86] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 87] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 88] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 89] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 90] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 91] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 92] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 93] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 94] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 95] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 96] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 97] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 98] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[ 99] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[100] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[101] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[102] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[103] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[104] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[105] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[106] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[107] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[108] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[109] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[110] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[111] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[112] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[113] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[114] 1500.0 1.000 0. 0.009 141029.0036.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum141029.0036.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.719, w2 = 10811.71, dw = 0.04377681, nw = 170228., dtype = 0 Nov 3 12:32: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141029.0037.ec.fits[ 1] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 2] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 3] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 4] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 5] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 6] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 7] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 8] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 9] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 10] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 11] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 12] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 13] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 14] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 15] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 16] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 17] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 18] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 19] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 20] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 21] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 22] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 23] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 24] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 25] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 26] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 27] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 28] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 29] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 30] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 31] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 32] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 33] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 34] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 35] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 36] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 37] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 38] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 39] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 40] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 41] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 42] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 43] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 44] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 45] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 46] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 47] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 48] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 49] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 50] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 51] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 52] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 53] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 54] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 55] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 56] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 57] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 58] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 59] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 60] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 61] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 62] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 63] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 64] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 65] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 66] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 67] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 68] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 69] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 70] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 71] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 72] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 73] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 74] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 75] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 76] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 77] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 78] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 79] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 80] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 81] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 82] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 83] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 84] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 85] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 86] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 87] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 88] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 89] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 90] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 91] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 92] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 93] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 94] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 95] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 96] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 97] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 98] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[ 99] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[100] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[101] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[102] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[103] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[104] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[105] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[106] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[107] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[108] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[109] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[110] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[111] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[112] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[113] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[114] 1500.0 1.000 0. 0.009 141029.0037.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum141029.0037.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.68, w2 = 10811.72, dw = 0.04377656, nw = 170230., dtype = 0 Nov 3 12:32: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141029.0038.ec.fits[ 1] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 2] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 3] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 4] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 5] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 6] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 7] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 8] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 9] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 10] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 11] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 12] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 13] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 14] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 15] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 16] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 17] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 18] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 19] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 20] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 21] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 22] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 23] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 24] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 25] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 26] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 27] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 28] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 29] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 30] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 31] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 32] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 33] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 34] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 35] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 36] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 37] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 38] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 39] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 40] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 41] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 42] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 43] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 44] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 45] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 46] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 47] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 48] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 49] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 50] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 51] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 52] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 53] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 54] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 55] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 56] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 57] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 58] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 59] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 60] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 61] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 62] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 63] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 64] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 65] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 66] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 67] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 68] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 69] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 70] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 71] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 72] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 73] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 74] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 75] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 76] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 77] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 78] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 79] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 80] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 81] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 82] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 83] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 84] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 85] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 86] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 87] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 88] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 89] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 90] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 91] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 92] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 93] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 94] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 95] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 96] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 97] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 98] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[ 99] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[100] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[101] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[102] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[103] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[104] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[105] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[106] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[107] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[108] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[109] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[110] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[111] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[112] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[113] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[114] 1500.0 1.000 0. 0.009 141029.0038.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum141029.0038.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.642, w2 = 10811.72, dw = 0.0437763, nw = 170232., dtype = 0 Nov 3 12:33: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141029.0039.ec.fits[ 1] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 2] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 3] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 4] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 5] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 6] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 7] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 8] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 9] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 10] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 11] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 12] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 13] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 14] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 15] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 16] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 17] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 18] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 19] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 20] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 21] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 22] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 23] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 24] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 25] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 26] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 27] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 28] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 29] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 30] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 31] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 32] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 33] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 34] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 35] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 36] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 37] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 38] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 39] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 40] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 41] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 42] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 43] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 44] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 45] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 46] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 47] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 48] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 49] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 50] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 51] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 52] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 53] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 54] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 55] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 56] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 57] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 58] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 59] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 60] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 61] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 62] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 63] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 64] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 65] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 66] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 67] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 68] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 69] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 70] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 71] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 72] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 73] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 74] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 75] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 76] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 77] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 78] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 79] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 80] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 81] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 82] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 83] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 84] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 85] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 86] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 87] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 88] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 89] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 90] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 91] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 92] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 93] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 94] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 95] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 96] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 97] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 98] 900.0 1.000 0. 0.009 141029.0039.ec.fits[ 99] 900.0 1.000 0. 0.009 141029.0039.ec.fits[100] 900.0 1.000 0. 0.009 141029.0039.ec.fits[101] 900.0 1.000 0. 0.009 141029.0039.ec.fits[102] 900.0 1.000 0. 0.009 141029.0039.ec.fits[103] 900.0 1.000 0. 0.009 141029.0039.ec.fits[104] 900.0 1.000 0. 0.009 141029.0039.ec.fits[105] 900.0 1.000 0. 0.009 141029.0039.ec.fits[106] 900.0 1.000 0. 0.009 141029.0039.ec.fits[107] 900.0 1.000 0. 0.009 141029.0039.ec.fits[108] 900.0 1.000 0. 0.009 141029.0039.ec.fits[109] 900.0 1.000 0. 0.009 141029.0039.ec.fits[110] 900.0 1.000 0. 0.009 141029.0039.ec.fits[111] 900.0 1.000 0. 0.009 141029.0039.ec.fits[112] 900.0 1.000 0. 0.009 141029.0039.ec.fits[113] 900.0 1.000 0. 0.009 141029.0039.ec.fits[114] 900.0 1.000 0. 0.009 141029.0039.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum141029.0039.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.61, w2 = 10811.73, dw = 0.04377573, nw = 170235., dtype = 0 Nov 3 12:33: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141029.0021.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[100] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[101] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[102] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[103] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[104] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[105] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[106] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[107] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[108] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[109] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[110] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[111] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[112] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[113] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[114] 900.0 1.000 0. 0.009 fitcont141029.0021.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont141029.0021.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.62, w2 = 10811.76, dw = 0.04385857, nw = 169914., dtype = 0 Nov 3 12:34: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141029.0022.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont141029.0022.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont141029.0022.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.616, w2 = 10811.77, dw = 0.04386201, nw = 169901., dtype = 0 Nov 3 12:35: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141029.0023.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont141029.0023.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont141029.0023.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.613, w2 = 10811.78, dw = 0.04386545, nw = 169888., dtype = 0 Nov 3 12:35: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141029.0028.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[100] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[101] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[102] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[103] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[104] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[105] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[106] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[107] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[108] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[109] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[110] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[111] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[112] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[113] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[114] 900.0 1.000 0. 0.009 fitcont141029.0028.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont141029.0028.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.616, w2 = 10811.78, dw = 0.04385899, nw = 169913., dtype = 0 Nov 3 12:36: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141029.0029.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont141029.0029.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont141029.0029.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.63, w2 = 10811.77, dw = 0.04383999, nw = 169986., dtype = 0 Nov 3 12:36: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141029.0030.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[100] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[101] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[102] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[103] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[104] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[105] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[106] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[107] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[108] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[109] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[110] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[111] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[112] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[113] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[114] 900.0 1.000 0. 0.009 fitcont141029.0030.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont141029.0030.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.643, w2 = 10811.76, dw = 0.04382128, nw = 170058., dtype = 0 Nov 3 12:37: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141029.0032.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont141029.0032.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont141029.0032.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.67, w2 = 10811.74, dw = 0.0438043, nw = 170123., dtype = 0 Nov 3 12:37: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141029.0033.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[100] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[101] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[102] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[103] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[104] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[105] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[106] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[107] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[108] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[109] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[110] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[111] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[112] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[113] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[114] 600.0 1.000 0. 0.009 fitcont141029.0033.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumfitcont141029.0033.ec.fits, ncombine = 115, exptime = 68999.99 w1 = 3359.696, w2 = 10811.73, dw = 0.04379428, nw = 170161., dtype = 0 Nov 3 12:38: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141029.0034.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont141029.0034.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont141029.0034.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.722, w2 = 10811.72, dw = 0.04378454, nw = 170198., dtype = 0 Nov 3 12:39: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141029.0036.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont141029.0036.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont141029.0036.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.719, w2 = 10811.71, dw = 0.04377681, nw = 170228., dtype = 0 Nov 3 12:39: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141029.0037.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont141029.0037.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont141029.0037.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.68, w2 = 10811.72, dw = 0.04377656, nw = 170230., dtype = 0 Nov 3 12:40: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141029.0038.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont141029.0038.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont141029.0038.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.642, w2 = 10811.72, dw = 0.0437763, nw = 170232., dtype = 0 Nov 3 12:40: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141029.0039.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[100] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[101] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[102] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[103] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[104] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[105] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[106] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[107] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[108] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[109] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[110] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[111] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[112] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[113] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[114] 900.0 1.000 0. 0.009 fitcont141029.0039.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont141029.0039.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.61, w2 = 10811.73, dw = 0.04377573, nw = 170235., dtype = 0 103500. fullspec141029.0021.ec.fits,EXPTIME: 103500. -> 900.0 fullspec141029.0021.ec.fits updated 138000. fullspec141029.0022.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec141029.0022.ec.fits updated 138000. fullspec141029.0023.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec141029.0023.ec.fits updated 103500. fullspec141029.0028.ec.fits,EXPTIME: 103500. -> 900.0 fullspec141029.0028.ec.fits updated 138000. fullspec141029.0029.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec141029.0029.ec.fits updated 103500. fullspec141029.0030.ec.fits,EXPTIME: 103500. -> 900.0 fullspec141029.0030.ec.fits updated 172500. fullspec141029.0032.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec141029.0032.ec.fits updated 68999.99 fullspec141029.0033.ec.fits,EXPTIME: 68999.99 -> 599.999913043 fullspec141029.0033.ec.fits updated 172500. fullspec141029.0034.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec141029.0034.ec.fits updated 172500. fullspec141029.0036.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec141029.0036.ec.fits updated 172500. fullspec141029.0037.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec141029.0037.ec.fits updated 172500. fullspec141029.0038.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec141029.0038.ec.fits updated 103500. fullspec141029.0039.ec.fits,EXPTIME: 103500. -> 900.0 fullspec141029.0039.ec.fits updated ALL DONE! Yay! (=^.^=)