Copying data files and other necessary files Changing to reduced data directory Generating file lists... Warning: FXF: EOF encountered while reading FITS file (EchelleFlatBlue.0019.fits) Warning: FXF: EOF encountered while reading FITS file (EchelleFlatBlue.0019.fits) Warning: FXF: EOF encountered while reading FITS file (EchelleFlatBlue.0019.fits) Warning: FXF: EOF encountered while reading FITS file (EchelleFlatBlue.0019.fits) Warning: FXF: EOF encountered while reading FITS file (EchelleFlatBlue.0019.fits) Warning: FXF: EOF encountered while reading FITS file (EchelleFlatBlue.0019.fits) Setting dispaxis... add 150407.0021.fits,dispaxis = 1 150407.0021.fits updated add 150407.0022.fits,dispaxis = 1 150407.0022.fits updated add 150407.0024.fits,dispaxis = 1 150407.0024.fits updated add 150407.0025.fits,dispaxis = 1 150407.0025.fits updated add 150407.0026.fits,dispaxis = 1 150407.0026.fits updated add 150407.0028.fits,dispaxis = 1 150407.0028.fits updated add 150407.0029.fits,dispaxis = 1 150407.0029.fits updated add 150407.0030.fits,dispaxis = 1 150407.0030.fits updated add 150407.0031.fits,dispaxis = 1 150407.0031.fits updated add 150407.0032.fits,dispaxis = 1 150407.0032.fits updated add 150407.0033.fits,dispaxis = 1 150407.0033.fits updated add EchelleBias.0001.fits,dispaxis = 1 EchelleBias.0001.fits updated add EchelleBias.0002.fits,dispaxis = 1 EchelleBias.0002.fits updated add EchelleBias.0003.fits,dispaxis = 1 EchelleBias.0003.fits updated add EchelleBias.0004.fits,dispaxis = 1 EchelleBias.0004.fits updated add EchelleBias.0005.fits,dispaxis = 1 EchelleBias.0005.fits updated add EchelleBias.0006.fits,dispaxis = 1 EchelleBias.0006.fits updated add EchelleBias.0007.fits,dispaxis = 1 EchelleBias.0007.fits updated add EchelleBias.0008.fits,dispaxis = 1 EchelleBias.0008.fits updated add EchelleBias.0009.fits,dispaxis = 1 EchelleBias.0009.fits updated add EchelleBias.0010.fits,dispaxis = 1 EchelleBias.0010.fits updated add EchelleFlat.0011.fits,dispaxis = 1 EchelleFlat.0011.fits updated add EchelleFlat.0012.fits,dispaxis = 1 EchelleFlat.0012.fits updated add EchelleFlat.0013.fits,dispaxis = 1 EchelleFlat.0013.fits updated add EchelleFlat.0014.fits,dispaxis = 1 EchelleFlat.0014.fits updated add EchelleFlat.0015.fits,dispaxis = 1 EchelleFlat.0015.fits updated add EchelleFlatBlue.0016.fits,dispaxis = 1 EchelleFlatBlue.0016.fits updated add EchelleFlatBlue.0017.fits,dispaxis = 1 EchelleFlatBlue.0017.fits updated add EchelleFlatBlue.0018.fits,dispaxis = 1 EchelleFlatBlue.0018.fits updated Warning: FXF: EOF encountered while reading FITS file (EchelleFlatBlue.0019.fits) add EchelleThAr.0020.fits,dispaxis = 1 EchelleThAr.0020.fits updated add EchelleThAr.0023.fits,dispaxis = 1 EchelleThAr.0023.fits updated add EchelleThAr.0027.fits,dispaxis = 1 EchelleThAr.0027.fits updated add EchelleThAr.0034.fits,dispaxis = 1 EchelleThAr.0034.fits updated FIXPIX: image EchelleFlat.0011.fits with mask echmask.pl FIXPIX: image EchelleFlat.0012.fits with mask echmask.pl FIXPIX: image EchelleFlat.0013.fits with mask echmask.pl FIXPIX: image EchelleFlat.0014.fits with mask echmask.pl FIXPIX: image EchelleFlat.0015.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0016.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0017.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0018.fits with mask echmask.pl FIXPIX: image 150407.0021.fits with mask echmask.pl FIXPIX: image 150407.0022.fits with mask echmask.pl FIXPIX: image 150407.0024.fits with mask echmask.pl FIXPIX: image 150407.0025.fits with mask echmask.pl FIXPIX: image 150407.0026.fits with mask echmask.pl FIXPIX: image 150407.0028.fits with mask echmask.pl FIXPIX: image 150407.0029.fits with mask echmask.pl FIXPIX: image 150407.0030.fits with mask echmask.pl FIXPIX: image 150407.0031.fits with mask echmask.pl FIXPIX: image 150407.0032.fits with mask echmask.pl FIXPIX: image 150407.0033.fits with mask echmask.pl FIXPIX: image EchelleThAr.0020.fits with mask echmask.pl FIXPIX: image EchelleThAr.0023.fits with mask echmask.pl FIXPIX: image EchelleThAr.0027.fits with mask echmask.pl FIXPIX: image EchelleThAr.0034.fits with mask echmask.pl Apr 27 14:35: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Exp EchelleBias.0001.fits 0.0 EchelleBias.0002.fits 0.9 EchelleBias.0003.fits 0.0 EchelleBias.0004.fits 0.9 EchelleBias.0005.fits 0.0 EchelleBias.0006.fits 0.9 EchelleBias.0007.fits 0.0 EchelleBias.0008.fits 0.9 EchelleBias.0009.fits 0.0 EchelleBias.0010.fits 0.9 Output image = bias_fid, ncombine = 10 Calibrating object images and flats (bias, and trimming)... 150407.0021.fits: Apr 27 14:35 Trim data section is [200:1850,1:2048] bias_fid: Apr 27 14:35 Trim data section is [200:1850,1:2048] 150407.0021.fits: Apr 27 14:35 Zero level correction image is bias_fid 150407.0022.fits: Apr 27 14:35 Trim data section is [200:1850,1:2048] 150407.0022.fits: Apr 27 14:35 Zero level correction image is bias_fid 150407.0024.fits: Apr 27 14:35 Trim data section is [200:1850,1:2048] 150407.0024.fits: Apr 27 14:35 Zero level correction image is bias_fid 150407.0025.fits: Apr 27 14:35 Trim data section is [200:1850,1:2048] 150407.0025.fits: Apr 27 14:35 Zero level correction image is bias_fid 150407.0026.fits: Apr 27 14:35 Trim data section is [200:1850,1:2048] 150407.0026.fits: Apr 27 14:35 Zero level correction image is bias_fid 150407.0028.fits: Apr 27 14:35 Trim data section is [200:1850,1:2048] 150407.0028.fits: Apr 27 14:35 Zero level correction image is bias_fid 150407.0029.fits: Apr 27 14:35 Trim data section is [200:1850,1:2048] 150407.0029.fits: Apr 27 14:35 Zero level correction image is bias_fid 150407.0030.fits: Apr 27 14:35 Trim data section is [200:1850,1:2048] 150407.0030.fits: Apr 27 14:35 Zero level correction image is bias_fid 150407.0031.fits: Apr 27 14:35 Trim data section is [200:1850,1:2048] 150407.0031.fits: Apr 27 14:35 Zero level correction image is bias_fid 150407.0032.fits: Apr 27 14:35 Trim data section is [200:1850,1:2048] 150407.0032.fits: Apr 27 14:35 Zero level correction image is bias_fid 150407.0033.fits: Apr 27 14:35 Trim data section is [200:1850,1:2048] 150407.0033.fits: Apr 27 14:35 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlat.0011.fits: Apr 27 14:35 Trim data section is [200:1850,1:2048] EchelleFlat.0011.fits: Apr 27 14:35 Zero level correction image is bias_fid EchelleFlat.0012.fits: Apr 27 14:35 Trim data section is [200:1850,1:2048] EchelleFlat.0012.fits: Apr 27 14:35 Zero level correction image is bias_fid EchelleFlat.0013.fits: Apr 27 14:35 Trim data section is [200:1850,1:2048] EchelleFlat.0013.fits: Apr 27 14:35 Zero level correction image is bias_fid EchelleFlat.0014.fits: Apr 27 14:35 Trim data section is [200:1850,1:2048] EchelleFlat.0014.fits: Apr 27 14:35 Zero level correction image is bias_fid EchelleFlat.0015.fits: Apr 27 14:35 Trim data section is [200:1850,1:2048] EchelleFlat.0015.fits: Apr 27 14:35 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlatBlue.0016.fits: Apr 27 14:35 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0016.fits: Apr 27 14:35 Zero level correction image is bias_fid EchelleFlatBlue.0017.fits: Apr 27 14:35 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0017.fits: Apr 27 14:35 Zero level correction image is bias_fid EchelleFlatBlue.0018.fits: Apr 27 14:35 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0018.fits: Apr 27 14:35 Zero level correction image is bias_fid Calibrating ThAr arcs... EchelleThAr.0020.fits: Apr 27 14:35 Trim data section is [200:1850,1:2048] EchelleThAr.0020.fits: Apr 27 14:35 Zero level correction image is bias_fid EchelleThAr.0023.fits: Apr 27 14:35 Trim data section is [200:1850,1:2048] EchelleThAr.0023.fits: Apr 27 14:35 Zero level correction image is bias_fid EchelleThAr.0027.fits: Apr 27 14:35 Trim data section is [200:1850,1:2048] EchelleThAr.0027.fits: Apr 27 14:35 Zero level correction image is bias_fid EchelleThAr.0034.fits: Apr 27 14:35 Trim data section is [200:1850,1:2048] EchelleThAr.0034.fits: Apr 27 14:35 Zero level correction image is bias_fid Combining red and blue flats into separate fiducial flats... Apr 27 14:36: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp EchelleFlatBlue.0016.fits 200.0 EchelleFlatBlue.0017.fits 200.0 EchelleFlatBlue.0018.fits 200.0 Output image = flat_blue_mean.fits, ncombine = 3 Apr 27 14:36: 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 EchelleFlat.0014.fits 7.0 EchelleFlat.0015.fits 7.0 Output image = flat_red_mean.fits, ncombine = 5 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... Apr 27 14:36: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1639. Apr 27 14:36: TRACE - Trace of aperture 99 in flat_fid_mag recovered at column 1640. Apr 27 14:36: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 122. Apr 27 14:36: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 121. Apr 27 14:36: TRACE - Trace of aperture 99 in flat_fid_mag recovered at column 120. Apr 27 14:36: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1596. Apr 27 14:36: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1597. Apr 27 14:36: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1624. Apr 27 14:36: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1625. Apr 27 14:36: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1607. Apr 27 14:36: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1608. Apr 27 14:36: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 1609. Apr 27 14:36: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1612. Apr 27 14:36: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1613. Apr 27 14:36: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1614. Apr 27 14:36: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 134. Apr 27 14:36: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 133. Apr 27 14:36: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 132. Apr 27 14:36: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 131. Apr 27 14:36: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1577. Apr 27 14:36: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1578. Apr 27 14:36: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1579. Apr 27 14:36: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 107. Apr 27 14:36: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 106. Apr 27 14:36: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 105. Apr 27 14:36: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1624. Apr 27 14:36: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1625. Apr 27 14:36: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1642. Apr 27 14:36: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1643. Apr 27 14:36: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1566. Apr 27 14:36: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1567. Apr 27 14:36: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1605. Apr 27 14:36: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1606. Apr 27 14:36: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1622. Apr 27 14:36: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1623. Apr 27 14:36: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1624. Apr 27 14:36: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 135. Apr 27 14:36: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 134. Apr 27 14:36: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 133. Apr 27 14:36: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 88. Apr 27 14:36: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 87. Apr 27 14:36: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1514. Apr 27 14:36: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1515. Apr 27 14:36: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1547. Apr 27 14:36: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1548. Apr 27 14:36: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1549. Apr 27 14:36: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1565. Apr 27 14:36: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1566. Apr 27 14:36: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1567. Apr 27 14:36: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 122. Apr 27 14:36: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 121. Apr 27 14:36: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 119. Apr 27 14:36: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 118. Apr 27 14:36: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 56. Apr 27 14:36: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 55. Apr 27 14:36: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1559. Apr 27 14:36: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1560. Apr 27 14:36: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1573. Apr 27 14:36: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1574. Apr 27 14:36: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1588. Apr 27 14:36: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1589. Apr 27 14:36: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1590. Apr 27 14:36: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1597. Apr 27 14:36: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1598. Apr 27 14:36: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1607. Apr 27 14:36: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1608. Apr 27 14:36: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1609. Apr 27 14:36: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 200. Apr 27 14:36: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 199. Apr 27 14:36: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 129. Apr 27 14:36: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 128. Apr 27 14:36: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 126. Apr 27 14:36: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 125. Apr 27 14:36: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 124. Apr 27 14:36: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 103. Apr 27 14:36: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 102. Apr 27 14:36: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 101. Apr 27 14:36: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 84. Apr 27 14:36: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 83. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1436. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1437. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1551. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1552. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1568. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1569. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1583. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1584. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1585. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1587. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1588. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1591. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1592. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1593. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1594. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1612. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1613. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1614. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1617. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1618. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1629. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1630. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1637. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1638. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1639. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1640. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1641. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 200. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 199. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 193. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 192. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 167. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 166. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 164. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 163. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 138. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 137. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 136. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 135. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 134. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 129. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 128. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 114. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 113. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 112. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 90. Apr 27 14:36: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 89. Apr 27 14:36: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1491. Apr 27 14:36: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1492. Apr 27 14:36: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1493. Apr 27 14:36: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1494. Apr 27 14:36: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1543. Apr 27 14:36: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1544. Apr 27 14:36: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1545. Apr 27 14:36: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 270. Apr 27 14:36: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 269. Apr 27 14:36: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 240. Apr 27 14:36: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 239. Apr 27 14:36: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 238. Apr 27 14:36: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1426. Apr 27 14:36: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1427. Apr 27 14:36: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1447. Apr 27 14:36: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1448. Apr 27 14:36: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1475. Apr 27 14:36: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1476. Apr 27 14:36: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1489. Apr 27 14:36: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1490. Apr 27 14:36: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1494. Apr 27 14:36: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1495. Apr 27 14:36: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1496. Apr 27 14:36: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1497. Apr 27 14:36: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1498. Apr 27 14:36: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1499. Apr 27 14:36: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1500. Apr 27 14:36: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1501. Apr 27 14:36: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 271. Apr 27 14:36: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 270. Apr 27 14:36: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 218. Apr 27 14:36: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 217. Apr 27 14:36: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 192. Apr 27 14:36: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 191. Apr 27 14:36: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 171. Apr 27 14:36: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 170. Apr 27 14:36: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 169. Apr 27 14:36: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1363. Apr 27 14:36: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1364. Apr 27 14:36: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1408. Apr 27 14:36: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1409. Apr 27 14:36: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1410. Apr 27 14:36: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1413. Apr 27 14:36: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1414. Apr 27 14:36: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1415. Apr 27 14:36: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 266. Apr 27 14:36: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 265. Apr 27 14:36: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 264. Apr 27 14:36: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1408. Apr 27 14:36: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1409. Apr 27 14:36: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1410. Apr 27 14:36: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1411. Apr 27 14:36: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1436. Apr 27 14:36: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1437. Apr 27 14:36: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1438. Apr 27 14:36: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 222. Apr 27 14:36: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 221. Apr 27 14:36: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 220. Apr 27 14:36: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 193. Apr 27 14:36: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 192. Apr 27 14:36: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 191. Apr 27 14:36: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1287. Apr 27 14:36: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1288. Apr 27 14:36: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1289. Apr 27 14:36: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1290. Apr 27 14:36: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1291. Apr 27 14:36: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 354. Apr 27 14:36: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 353. Apr 27 14:36: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 352. Apr 27 14:36: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 334. Apr 27 14:36: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 333. Apr 27 14:36: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 332. Apr 27 14:36: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 328. Apr 27 14:36: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 327. Apr 27 14:36: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 326. Apr 27 14:36: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1257. Apr 27 14:36: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1258. Apr 27 14:36: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1344. Apr 27 14:36: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1345. Apr 27 14:36: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1376. Apr 27 14:36: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1377. Apr 27 14:36: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1391. Apr 27 14:36: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1392. Apr 27 14:36: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1425. Apr 27 14:36: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1426. Apr 27 14:36: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1427. Apr 27 14:36: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1429. Apr 27 14:36: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1430. Apr 27 14:36: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1431. Apr 27 14:36: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1432. Apr 27 14:36: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1433. Apr 27 14:36: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1438. Apr 27 14:36: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1439. Apr 27 14:36: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1461. Apr 27 14:36: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1462. Apr 27 14:36: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1468. Apr 27 14:36: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1469. Apr 27 14:36: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1519. Apr 27 14:36: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1520. Apr 27 14:36: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1521. Apr 27 14:36: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 460. Apr 27 14:36: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 459. Apr 27 14:36: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 458. Apr 27 14:36: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 457. Apr 27 14:36: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 456. Apr 27 14:36: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1148. Apr 27 14:36: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1149. Apr 27 14:36: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1150. Apr 27 14:36: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1151. Apr 27 14:36: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1192. Apr 27 14:36: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1193. Apr 27 14:36: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1224. Apr 27 14:36: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1225. Apr 27 14:36: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1226. Apr 27 14:36: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 355. Apr 27 14:36: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 354. Apr 27 14:36: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 353. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1066. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1067. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1068. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1094. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1095. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1132. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1133. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1141. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1142. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1198. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1199. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1200. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 743. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 742. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 741. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 540. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 539. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 538. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 437. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 436. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 425. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 424. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 417. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 416. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 382. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 381. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 300. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 299. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 298. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 297. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 296. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 295. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 287. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 286. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 285. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 256. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 255. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 254. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 253. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 214. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 213. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 202. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 201. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 186. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 185. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 171. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 170. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 167. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 166. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 137. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 136. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 131. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 130. Apr 27 14:36: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 129. Normalizing the superflat... flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits IMARITH: Operation = + Operand1 = nonorm_flat_fid_mag.ec.fits Operand2 = 13.38 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.0020.fits Magnify image EchelleThAr.0020.fits to image EchelleThAr.0020.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0020.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0020.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0023.fits Magnify image EchelleThAr.0023.fits to image EchelleThAr.0023.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0023.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0023.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.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.0034.fits Magnify image EchelleThAr.0034.fits to image EchelleThAr.0034.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0034.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0034.fits updated Applying model apertures to the arc and extracting spectra... Resampling the object by a factor of 4 in the y direction... 150407.0021 Magnify image 150407.0021 to image 150407.0021. 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 150407.0021,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150407.0021 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150407.0021 -> noscat150407.0021 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 150407.0022 Magnify image 150407.0022 to image 150407.0022. 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 150407.0022,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150407.0022 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150407.0022 -> noscat150407.0022 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Apr 27 14:37: EXTRACT: WARNING - Aperture 100: Apr 27 14:37: Total variance weighted spectrum flux is 7833.37 Apr 27 14:37: Total unweighted spectrum flux is 3716.355 Apr 27 14:37: EXTRACT: Aperture 100 variance spectrum bias factor is 0.4744261 Apr 27 14:38: EXTRACT: WARNING - Aperture 104: Apr 27 14:38: Total variance weighted spectrum flux is 13477.47 Apr 27 14:38: Total unweighted spectrum flux is 5547.693 Apr 27 14:38: EXTRACT: Aperture 104 variance spectrum bias factor is 0.4116272 Apr 27 14:38: EXTRACT: WARNING - Aperture 105: Apr 27 14:38: Total variance weighted spectrum flux is 8875.712 Apr 27 14:38: Total unweighted spectrum flux is 3791.923 Apr 27 14:38: EXTRACT: Aperture 105 variance spectrum bias factor is 0.4272246 Apr 27 14:38: EXTRACT: WARNING - Aperture 106: Apr 27 14:38: Total variance weighted spectrum flux is 8135.335 Apr 27 14:38: Total unweighted spectrum flux is 2649.954 Apr 27 14:38: EXTRACT: Aperture 106 variance spectrum bias factor is 0.3257339 Apr 27 14:38: EXTRACT: WARNING - Aperture 107: Apr 27 14:38: Total variance weighted spectrum flux is 8919.402 Apr 27 14:38: Total unweighted spectrum flux is 3429.664 Apr 27 14:38: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3845172 Apr 27 14:38: EXTRACT: WARNING - Aperture 108: Apr 27 14:38: Total variance weighted spectrum flux is 10496.5 Apr 27 14:38: Total unweighted spectrum flux is 2282.247 Apr 27 14:38: EXTRACT: Aperture 108 variance spectrum bias factor is 0.2174293 Apr 27 14:38: EXTRACT: WARNING - Aperture 109: Apr 27 14:38: Total variance weighted spectrum flux is 5697.91 Apr 27 14:38: Total unweighted spectrum flux is 2132.934 Apr 27 14:38: EXTRACT: Aperture 109 variance spectrum bias factor is 0.3743363 Apr 27 14:38: EXTRACT: WARNING - Aperture 110: Apr 27 14:38: Total variance weighted spectrum flux is 7388.014 Apr 27 14:38: Total unweighted spectrum flux is 2986.094 Apr 27 14:38: EXTRACT: Aperture 110 variance spectrum bias factor is 0.4041809 Apr 27 14:38: EXTRACT: WARNING - Aperture 111: Apr 27 14:38: Total variance weighted spectrum flux is 10265.95 Apr 27 14:38: Total unweighted spectrum flux is 3323.833 Apr 27 14:38: EXTRACT: Aperture 111 variance spectrum bias factor is 0.3237725 Apr 27 14:38: EXTRACT: WARNING - Aperture 112: Apr 27 14:38: Total variance weighted spectrum flux is 5855.659 Apr 27 14:38: Total unweighted spectrum flux is 2154.9 Apr 27 14:38: EXTRACT: Aperture 112 variance spectrum bias factor is 0.368003 Apr 27 14:38: EXTRACT: WARNING - Aperture 113: Apr 27 14:38: Total variance weighted spectrum flux is 4304.428 Apr 27 14:38: Total unweighted spectrum flux is 462.2975 Apr 27 14:38: EXTRACT: Aperture 113 variance spectrum bias factor is 0.1074004 Apr 27 14:38: EXTRACT: WARNING - Aperture 114: Apr 27 14:38: Total variance weighted spectrum flux is 3363.969 Apr 27 14:38: Total unweighted spectrum flux is 1352.038 Apr 27 14:38: EXTRACT: Aperture 114 variance spectrum bias factor is 0.4019175 Apr 27 14:38: EXTRACT: WARNING - Aperture 115: Apr 27 14:38: Total variance weighted spectrum flux is 2183.26 Apr 27 14:38: Total unweighted spectrum flux is 365.7749 Apr 27 14:38: EXTRACT: Aperture 115 variance spectrum bias factor is 0.1675362 Resampling the object by a factor of 4 in the y direction... 150407.0024 Magnify image 150407.0024 to image 150407.0024. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 150407.0024,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150407.0024 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150407.0024 -> noscat150407.0024 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Apr 27 14:38: EXTRACT: WARNING - Aperture 105: Apr 27 14:38: Total variance weighted spectrum flux is 6418.354 Apr 27 14:38: Total unweighted spectrum flux is 2596.516 Apr 27 14:38: EXTRACT: Aperture 105 variance spectrum bias factor is 0.4045455 Apr 27 14:38: EXTRACT: WARNING - Aperture 106: Apr 27 14:38: Total variance weighted spectrum flux is 8612.085 Apr 27 14:38: Total unweighted spectrum flux is 2812.526 Apr 27 14:38: EXTRACT: Aperture 106 variance spectrum bias factor is 0.3265789 Apr 27 14:38: EXTRACT: WARNING - Aperture 107: Apr 27 14:38: Total variance weighted spectrum flux is 9994.623 Apr 27 14:38: Total unweighted spectrum flux is 2158.033 Apr 27 14:38: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2159194 Apr 27 14:38: EXTRACT: WARNING - Aperture 109: Apr 27 14:38: Total variance weighted spectrum flux is 6439.32 Apr 27 14:38: Total unweighted spectrum flux is 2984.85 Apr 27 14:38: EXTRACT: Aperture 109 variance spectrum bias factor is 0.4635349 Apr 27 14:38: EXTRACT: WARNING - Aperture 110: Apr 27 14:38: Total variance weighted spectrum flux is 11822.96 Apr 27 14:38: Total unweighted spectrum flux is 2808.351 Apr 27 14:38: EXTRACT: Aperture 110 variance spectrum bias factor is 0.2375337 Apr 27 14:38: EXTRACT: WARNING - Aperture 111: Apr 27 14:38: Total variance weighted spectrum flux is 5947.823 Apr 27 14:38: Total unweighted spectrum flux is 876.1451 Apr 27 14:38: EXTRACT: Aperture 111 variance spectrum bias factor is 0.1473052 Apr 27 14:38: EXTRACT: WARNING - Aperture 112: Apr 27 14:38: Total variance weighted spectrum flux is 3868.344 Apr 27 14:38: Total unweighted spectrum flux is 1184.2 Apr 27 14:38: EXTRACT: Aperture 112 variance spectrum bias factor is 0.3061259 Apr 27 14:38: EXTRACT: WARNING - Aperture 113: Apr 27 14:38: Total variance weighted spectrum flux is 5347.689 Apr 27 14:38: Total unweighted spectrum flux is -30.532 Apr 27 14:38: Variance spectrum bias factor ignored Apr 27 14:38: EXTRACT: WARNING - Aperture 114: Apr 27 14:38: Total variance weighted spectrum flux is 4208.345 Apr 27 14:38: Total unweighted spectrum flux is 694.0464 Apr 27 14:38: EXTRACT: Aperture 114 variance spectrum bias factor is 0.1649214 Apr 27 14:38: EXTRACT: WARNING - Aperture 115: Apr 27 14:38: Total variance weighted spectrum flux is 3525.539 Apr 27 14:38: Total unweighted spectrum flux is 89.99993 Apr 27 14:38: EXTRACT: Aperture 115 variance spectrum bias factor is 0.025528 Resampling the object by a factor of 4 in the y direction... 150407.0025 Magnify image 150407.0025 to image 150407.0025. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 150407.0025,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150407.0025 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150407.0025 -> noscat150407.0025 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Apr 27 14:39: EXTRACT: WARNING - Aperture 106: Apr 27 14:39: Total variance weighted spectrum flux is 4739.438 Apr 27 14:39: Total unweighted spectrum flux is 1865.774 Apr 27 14:39: EXTRACT: Aperture 106 variance spectrum bias factor is 0.39367 Apr 27 14:39: EXTRACT: WARNING - Aperture 107: Apr 27 14:39: Total variance weighted spectrum flux is 4289.644 Apr 27 14:39: Total unweighted spectrum flux is 1639.065 Apr 27 14:39: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3820981 Apr 27 14:39: EXTRACT: WARNING - Aperture 108: Apr 27 14:39: Total variance weighted spectrum flux is 7004.105 Apr 27 14:39: Total unweighted spectrum flux is 3377.239 Apr 27 14:39: EXTRACT: Aperture 108 variance spectrum bias factor is 0.48218 Apr 27 14:39: EXTRACT: WARNING - Aperture 109: Apr 27 14:39: Total variance weighted spectrum flux is 5601.407 Apr 27 14:39: Total unweighted spectrum flux is 1316.063 Apr 27 14:39: EXTRACT: Aperture 109 variance spectrum bias factor is 0.2349523 Apr 27 14:39: EXTRACT: WARNING - Aperture 112: Apr 27 14:39: Total variance weighted spectrum flux is 4018.792 Apr 27 14:39: Total unweighted spectrum flux is 1482.837 Apr 27 14:39: EXTRACT: Aperture 112 variance spectrum bias factor is 0.3689759 Apr 27 14:39: EXTRACT: WARNING - Aperture 113: Apr 27 14:39: Total variance weighted spectrum flux is 6065.525 Apr 27 14:39: Total unweighted spectrum flux is 515.9693 Apr 27 14:39: EXTRACT: Aperture 113 variance spectrum bias factor is 0.08506589 Apr 27 14:39: EXTRACT: WARNING - Aperture 114: Apr 27 14:39: Total variance weighted spectrum flux is 4075.512 Apr 27 14:39: Total unweighted spectrum flux is 958.3922 Apr 27 14:39: EXTRACT: Aperture 114 variance spectrum bias factor is 0.2351587 Apr 27 14:39: EXTRACT: WARNING - Aperture 115: Apr 27 14:39: Total variance weighted spectrum flux is 3818.289 Apr 27 14:39: Total unweighted spectrum flux is 1093.165 Apr 27 14:39: EXTRACT: Aperture 115 variance spectrum bias factor is 0.286297 Resampling the object by a factor of 4 in the y direction... 150407.0026 Magnify image 150407.0026 to image 150407.0026. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 150407.0026,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150407.0026 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150407.0026 -> noscat150407.0026 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 150407.0028 Magnify image 150407.0028 to image 150407.0028. 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 150407.0028,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150407.0028 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150407.0028 -> noscat150407.0028 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 150407.0029 Magnify image 150407.0029 to image 150407.0029. 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 150407.0029,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150407.0029 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150407.0029 -> noscat150407.0029 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Apr 27 14:41: EXTRACT: WARNING - Aperture 111: Apr 27 14:41: Total variance weighted spectrum flux is 4817.557 Apr 27 14:41: Total unweighted spectrum flux is -571.12 Apr 27 14:41: Variance spectrum bias factor ignored Apr 27 14:41: EXTRACT: WARNING - Aperture 112: Apr 27 14:41: Total variance weighted spectrum flux is 5955.508 Apr 27 14:41: Total unweighted spectrum flux is 2925.156 Apr 27 14:41: EXTRACT: Aperture 112 variance spectrum bias factor is 0.4911681 Apr 27 14:41: EXTRACT: WARNING - Aperture 113: Apr 27 14:41: Total variance weighted spectrum flux is 9949.312 Apr 27 14:41: Total unweighted spectrum flux is 3665.712 Apr 27 14:41: EXTRACT: Aperture 113 variance spectrum bias factor is 0.3684388 Apr 27 14:41: EXTRACT: WARNING - Aperture 114: Apr 27 14:41: Total variance weighted spectrum flux is 4999.258 Apr 27 14:41: Total unweighted spectrum flux is 1671.011 Apr 27 14:41: EXTRACT: Aperture 114 variance spectrum bias factor is 0.3342517 Apr 27 14:42: EXTRACT: WARNING - Aperture 115: Apr 27 14:42: Total variance weighted spectrum flux is 4080.049 Apr 27 14:42: Total unweighted spectrum flux is 1474.733 Apr 27 14:42: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3614499 Resampling the object by a factor of 4 in the y direction... 150407.0030 Magnify image 150407.0030 to image 150407.0030. 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 150407.0030,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150407.0030 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150407.0030 -> noscat150407.0030 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Apr 27 14:42: EXTRACT: WARNING - Aperture 1: Apr 27 14:42: Total variance weighted spectrum flux is 9217.461 Apr 27 14:42: Total unweighted spectrum flux is 2792.672 Apr 27 14:42: EXTRACT: Aperture 1 variance spectrum bias factor is 0.3029763 Apr 27 14:42: EXTRACT: WARNING - Aperture 105: Apr 27 14:42: Total variance weighted spectrum flux is 8520.168 Apr 27 14:42: Total unweighted spectrum flux is 116.5949 Apr 27 14:42: EXTRACT: Aperture 105 variance spectrum bias factor is 0.01368457 Apr 27 14:42: EXTRACT: WARNING - Aperture 106: Apr 27 14:42: Total variance weighted spectrum flux is 3978.767 Apr 27 14:42: Total unweighted spectrum flux is 1234.628 Apr 27 14:42: EXTRACT: Aperture 106 variance spectrum bias factor is 0.3103042 Apr 27 14:42: EXTRACT: WARNING - Aperture 107: Apr 27 14:42: Total variance weighted spectrum flux is 9614.317 Apr 27 14:42: Total unweighted spectrum flux is 4475.086 Apr 27 14:42: EXTRACT: Aperture 107 variance spectrum bias factor is 0.4654607 Apr 27 14:42: EXTRACT: WARNING - Aperture 108: Apr 27 14:42: Total variance weighted spectrum flux is 5934.724 Apr 27 14:42: Total unweighted spectrum flux is 2230.763 Apr 27 14:42: EXTRACT: Aperture 108 variance spectrum bias factor is 0.3758833 Apr 27 14:42: EXTRACT: WARNING - Aperture 109: Apr 27 14:42: Total variance weighted spectrum flux is 5712.004 Apr 27 14:42: Total unweighted spectrum flux is 2730.003 Apr 27 14:42: EXTRACT: Aperture 109 variance spectrum bias factor is 0.4779414 Apr 27 14:42: EXTRACT: WARNING - Aperture 110: Apr 27 14:42: Total variance weighted spectrum flux is 7675.376 Apr 27 14:42: Total unweighted spectrum flux is 3526.257 Apr 27 14:42: EXTRACT: Aperture 110 variance spectrum bias factor is 0.4594246 Apr 27 14:42: EXTRACT: WARNING - Aperture 111: Apr 27 14:42: Total variance weighted spectrum flux is 5059.713 Apr 27 14:42: Total unweighted spectrum flux is 2038.987 Apr 27 14:42: EXTRACT: Aperture 111 variance spectrum bias factor is 0.4029847 Apr 27 14:42: EXTRACT: WARNING - Aperture 112: Apr 27 14:42: Total variance weighted spectrum flux is 6914.107 Apr 27 14:42: Total unweighted spectrum flux is 1134.722 Apr 27 14:42: EXTRACT: Aperture 112 variance spectrum bias factor is 0.1641169 Apr 27 14:42: EXTRACT: WARNING - Aperture 113: Apr 27 14:42: Total variance weighted spectrum flux is 2455.02 Apr 27 14:42: Total unweighted spectrum flux is -397.0805 Apr 27 14:42: Variance spectrum bias factor ignored Apr 27 14:42: EXTRACT: WARNING - Aperture 114: Apr 27 14:42: Total variance weighted spectrum flux is 3199.626 Apr 27 14:42: Total unweighted spectrum flux is 920.3923 Apr 27 14:42: EXTRACT: Aperture 114 variance spectrum bias factor is 0.2876562 Apr 27 14:42: EXTRACT: WARNING - Aperture 115: Apr 27 14:42: Total variance weighted spectrum flux is 3284.555 Apr 27 14:42: Total unweighted spectrum flux is 242.9142 Apr 27 14:42: EXTRACT: Aperture 115 variance spectrum bias factor is 0.07395649 Resampling the object by a factor of 4 in the y direction... 150407.0031 Magnify image 150407.0031 to image 150407.0031. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 150407.0031,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150407.0031 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150407.0031 -> noscat150407.0031 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 150407.0032 Magnify image 150407.0032 to image 150407.0032. 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 150407.0032,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150407.0032 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150407.0032 -> noscat150407.0032 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 150407.0033 Magnify image 150407.0033 to image 150407.0033. 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 150407.0033,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 150407.0033 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 150407.0033 -> noscat150407.0033 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... add EchelleThAr.0020.ec.fits,REFSPEC1 = EchelleThAr.0020.ec.fits EchelleThAr.0020.ec.fits updated add EchelleThAr.0023.ec.fits,REFSPEC1 = EchelleThAr.0023.ec.fits EchelleThAr.0023.ec.fits updated add EchelleThAr.0027.ec.fits,REFSPEC1 = EchelleThAr.0027.ec.fits EchelleThAr.0027.ec.fits updated add EchelleThAr.0034.ec.fits,REFSPEC1 = EchelleThAr.0034.ec.fits EchelleThAr.0034.ec.fits updated Flatfielding extracted arcs and object spectra... add EchelleThAr.0020.ec.fits,UTMIDDLE = 0 EchelleThAr.0020.ec.fits updated EchelleThAr.0020.ec.fits,UTMIDDLE: 0 -> 09:07:25.666761 EchelleThAr.0020.ec.fits updated add EchelleThAr.0023.ec.fits,UTMIDDLE = 0 EchelleThAr.0023.ec.fits updated EchelleThAr.0023.ec.fits,UTMIDDLE: 0 -> 09:52:22.836780 EchelleThAr.0023.ec.fits updated add EchelleThAr.0027.ec.fits,UTMIDDLE = 0 EchelleThAr.0027.ec.fits updated EchelleThAr.0027.ec.fits,UTMIDDLE: 0 -> 10:45:32.296756 EchelleThAr.0027.ec.fits updated add EchelleThAr.0034.ec.fits,UTMIDDLE = 0 EchelleThAr.0034.ec.fits updated EchelleThAr.0034.ec.fits,UTMIDDLE: 0 -> 12:12:09.706761 EchelleThAr.0034.ec.fits updated add 150407.0021.ec.fits,UTMIDDLE = 0 150407.0021.ec.fits updated 150407.0021.ec.fits,UTMIDDLE: 0 -> 09:15:44.527851 150407.0021.ec.fits updated add 150407.0022.ec.fits,UTMIDDLE = 0 150407.0022.ec.fits updated 150407.0022.ec.fits,UTMIDDLE: 0 -> 09:36:57.156967 150407.0022.ec.fits updated add 150407.0024.ec.fits,UTMIDDLE = 0 150407.0024.ec.fits updated 150407.0024.ec.fits,UTMIDDLE: 0 -> 10:08:01.768923 150407.0024.ec.fits updated add 150407.0025.ec.fits,UTMIDDLE = 0 150407.0025.ec.fits updated 150407.0025.ec.fits,UTMIDDLE: 0 -> 10:30:59.021765 150407.0025.ec.fits updated add 150407.0026.ec.fits,UTMIDDLE = 0 150407.0026.ec.fits updated 150407.0026.ec.fits,UTMIDDLE: 0 -> 10:42:20.111733 150407.0026.ec.fits updated add 150407.0028.ec.fits,UTMIDDLE = 0 150407.0028.ec.fits updated 150407.0028.ec.fits,UTMIDDLE: 0 -> 10:49:04.629773 150407.0028.ec.fits updated add 150407.0029.ec.fits,UTMIDDLE = 0 150407.0029.ec.fits updated 150407.0029.ec.fits,UTMIDDLE: 0 -> 11:02:40.147736 150407.0029.ec.fits updated add 150407.0030.ec.fits,UTMIDDLE = 0 150407.0030.ec.fits updated 150407.0030.ec.fits,UTMIDDLE: 0 -> 11:27:48.545967 150407.0030.ec.fits updated add 150407.0031.ec.fits,UTMIDDLE = 0 150407.0031.ec.fits updated 150407.0031.ec.fits,UTMIDDLE: 0 -> 11:53:42.669729 150407.0031.ec.fits updated add 150407.0032.ec.fits,UTMIDDLE = 0 150407.0032.ec.fits updated 150407.0032.ec.fits,UTMIDDLE: 0 -> 12:05:08.645067 150407.0032.ec.fits updated add 150407.0033.ec.fits,UTMIDDLE = 0 150407.0033.ec.fits updated 150407.0033.ec.fits,UTMIDDLE: 0 -> 12:08:42.624025 150407.0033.ec.fits updated Setting Julian Date Keywords # Image jd hjd ljd # SETJD: Observatory parameters for Apache Point Observatory # timezone = 7 150407.0021.ec.fits 2457119.88593 2457119.89086 2457119 150407.0022.ec.fits 2457119.90066 2457119.89993 2457119 150407.0024.ec.fits 2457119.92224 2457119.92151 2457119 150407.0025.ec.fits 2457119.93818 2457119.93670 2457119 150407.0026.ec.fits 2457119.94607 2457119.94642 2457119 150407.0028.ec.fits 2457119.95075 2457119.94995 2457119 150407.0029.ec.fits 2457119.96019 2457119.95920 2457119 150407.0030.ec.fits 2457119.97765 2457119.97674 2457119 150407.0031.ec.fits 2457119.99563 2457119.99506 2457119 150407.0032.ec.fits 2457120.00357 2457120.00134 2457119 150407.0033.ec.fits 2457120.00605 2457120.00640 2457119 ECREIDENTIFY: NOAO/IRAF V2.16.1 jeanm12@tequila.nmsu.edu Mon 14:45:10 27-Apr-2015 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS EchelleThAr.0020.ec 1847/2055 1847/1847 -1.65 12.1 2.14E-5 0.0112 EchelleThAr.0023.ec 1826/2055 1826/1826 -1.66 12.2 2.16E-5 0.0119 EchelleThAr.0027.ec 1828/2055 1828/1828 -1.65 12.1 2.14E-5 0.0117 EchelleThAr.0034.ec 1813/2055 1813/1813 -1.71 12.6 2.22E-5 0.0121 [150407.0021.ec] refspec1='EchelleThAr.0020.ec 0.81504279' [150407.0021.ec] refspec2='EchelleThAr.0023.ec 0.18495722' [150407.0022.ec] refspec1='EchelleThAr.0020.ec 0.34320411' [150407.0022.ec] refspec2='EchelleThAr.0023.ec 0.65679592' [150407.0024.ec] refspec1='EchelleThAr.0023.ec 0.70561409' [150407.0024.ec] refspec2='EchelleThAr.0027.ec 0.29438594' [150407.0025.ec] refspec1='EchelleThAr.0023.ec 0.27380025' [150407.0025.ec] refspec2='EchelleThAr.0027.ec 0.72619975' [150407.0026.ec] refspec1='EchelleThAr.0023.ec 0.060256287' [150407.0026.ec] refspec2='EchelleThAr.0027.ec 0.9397437' [150407.0028.ec] refspec1='EchelleThAr.0027.ec 0.95914638' [150407.0028.ec] refspec2='EchelleThAr.0034.ec 0.04085362' [150407.0029.ec] refspec1='EchelleThAr.0027.ec 0.80223787' [150407.0029.ec] refspec2='EchelleThAr.0034.ec 0.19776215' [150407.0030.ec] refspec1='EchelleThAr.0027.ec 0.51201671' [150407.0030.ec] refspec2='EchelleThAr.0034.ec 0.48798329' [150407.0031.ec] refspec1='EchelleThAr.0027.ec 0.21299782' [150407.0031.ec] refspec2='EchelleThAr.0034.ec 0.78700215' [150407.0032.ec] refspec1='EchelleThAr.0027.ec 0.081013754' [150407.0032.ec] refspec2='EchelleThAr.0034.ec 0.91898626' [150407.0033.ec] refspec1='EchelleThAr.0027.ec 0.039843448' [150407.0033.ec] refspec2='EchelleThAr.0034.ec 0.96015656' [EchelleThAr.0020.ec] refspec1='EchelleThAr.0020.ec' [EchelleThAr.0023.ec] refspec1='EchelleThAr.0023.ec' [EchelleThAr.0027.ec] refspec1='EchelleThAr.0027.ec' [EchelleThAr.0034.ec] refspec1='EchelleThAr.0034.ec' 150407.0021.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 0.81504279' 150407.0021.ec.fits: REFSPEC2 = 'EchelleThAr.0023.ec 0.18495722' 150407.0021.ec.fits: ap = 1, w1 = 10811.57, w2 = 10583.29, dw = -0.13835, nw = 1651 150407.0021.ec.fits: ap = 2, w1 = 10611.36, w2 = 10387.32, dw = -0.13578, nw = 1651 150407.0021.ec.fits: ap = 3, w1 = 10418.44, w2 = 10198.49, dw = -0.13331, nw = 1651 150407.0021.ec.fits: ap = 4, w1 = 10232.41, w2 = 10016.39, dw = -0.13092, nw = 1651 150407.0021.ec.fits: ap = 5, w1 = 10052.91, w2 = 9840.688, dw = -0.12862, nw = 1651 150407.0021.ec.fits: ap = 6, w1 = 9879.593, w2 = 9671.041, dw = -0.1264, nw = 1651 150407.0021.ec.fits: ap = 7, w1 = 9712.154, w2 = 9507.145, dw = -0.12425, nw = 1651 150407.0021.ec.fits: ap = 8, w1 = 9550.296, w2 = 9348.711, dw = -0.12217, nw = 1651 150407.0021.ec.fits: ap = 9, w1 = 9393.746, w2 = 9195.471, dw = -0.12017, nw = 1651 150407.0021.ec.fits: ap = 10, w1 = 9242.245, w2 = 9047.174, dw = -0.11822, nw = 1651 150407.0021.ec.fits: ap = 11, w1 = 9095.554, w2 = 8903.585, dw = -0.11635, nw = 1651 150407.0021.ec.fits: ap = 12, w1 = 8953.447, w2 = 8764.482, dw = -0.11452, nw = 1651 150407.0021.ec.fits: ap = 13, w1 = 8815.712, w2 = 8629.659, dw = -0.11276, nw = 1651 150407.0021.ec.fits: ap = 14, w1 = 8682.151, w2 = 8498.921, dw = -0.11105, nw = 1651 150407.0021.ec.fits: ap = 15, w1 = 8552.578, w2 = 8372.085, dw = -0.10939, nw = 1651 150407.0021.ec.fits: ap = 16, w1 = 8426.815, w2 = 8248.98, dw = -0.10778, nw = 1651 150407.0021.ec.fits: ap = 17, w1 = 8304.697, w2 = 8129.443, dw = -0.10621, nw = 1651 150407.0021.ec.fits: ap = 18, w1 = 8186.07, w2 = 8013.322, dw = -0.1047, nw = 1651 150407.0021.ec.fits: ap = 19, w1 = 8070.783, w2 = 7900.471, dw = -0.10322, nw = 1651 150407.0021.ec.fits: ap = 20, w1 = 7958.699, w2 = 7790.754, dw = -0.10178, nw = 1651 150407.0021.ec.fits: ap = 21, w1 = 7849.686, w2 = 7684.044, dw = -0.10039, nw = 1651 150407.0021.ec.fits: ap = 22, w1 = 7743.618, w2 = 7580.217, dw = -0.09903, nw = 1651 150407.0021.ec.fits: ap = 23, w1 = 7640.38, w2 = 7479.159, dw = -0.09771, nw = 1651 150407.0021.ec.fits: ap = 24, w1 = 7539.858, w2 = 7380.76, dw = -0.09642, nw = 1651 150407.0021.ec.fits: ap = 25, w1 = 7441.947, w2 = 7284.917, dw = -0.09517, nw = 1651 150407.0021.ec.fits: ap = 26, w1 = 7346.547, w2 = 7191.532, dw = -0.09395, nw = 1651 150407.0021.ec.fits: ap = 27, w1 = 7253.562, w2 = 7100.51, dw = -0.09276, nw = 1651 150407.0021.ec.fits: ap = 28, w1 = 7162.901, w2 = 7011.764, dw = -0.0916, nw = 1651 150407.0021.ec.fits: ap = 29, w1 = 7074.479, w2 = 6925.209, dw = -0.09047, nw = 1651 150407.0021.ec.fits: ap = 30, w1 = 6988.214, w2 = 6840.766, dw = -0.08936, nw = 1651 150407.0021.ec.fits: ap = 31, w1 = 6904.027, w2 = 6758.357, dw = -0.08828, nw = 1651 150407.0021.ec.fits: ap = 32, w1 = 6821.845, w2 = 6677.911, dw = -0.08723, nw = 1651 150407.0021.ec.fits: ap = 33, w1 = 6741.597, w2 = 6599.357, dw = -0.08621, nw = 1651 150407.0021.ec.fits: ap = 34, w1 = 6663.215, w2 = 6522.63, dw = -0.0852, nw = 1651 150407.0021.ec.fits: ap = 35, w1 = 6586.635, w2 = 6447.668, dw = -0.08422, nw = 1651 150407.0021.ec.fits: ap = 36, w1 = 6511.795, w2 = 6374.409, dw = -0.08326, nw = 1651 150407.0021.ec.fits: ap = 37, w1 = 6438.637, w2 = 6302.796, dw = -0.08233, nw = 1651 150407.0021.ec.fits: ap = 38, w1 = 6367.105, w2 = 6232.775, dw = -0.08141, nw = 1651 150407.0021.ec.fits: ap = 39, w1 = 6297.145, w2 = 6164.292, dw = -0.08052, nw = 1651 150407.0021.ec.fits: ap = 40, w1 = 6228.706, w2 = 6097.299, dw = -0.07964, nw = 1651 150407.0021.ec.fits: ap = 41, w1 = 6161.739, w2 = 6031.746, dw = -0.07878, nw = 1651 150407.0021.ec.fits: ap = 42, w1 = 6096.197, w2 = 5967.589, dw = -0.07794, nw = 1651 150407.0021.ec.fits: ap = 43, w1 = 6032.034, w2 = 5904.782, dw = -0.07712, nw = 1651 150407.0021.ec.fits: ap = 44, w1 = 5969.208, w2 = 5843.283, dw = -0.07632, nw = 1651 150407.0021.ec.fits: ap = 45, w1 = 5907.678, w2 = 5783.053, dw = -0.07553, nw = 1651 150407.0021.ec.fits: ap = 46, w1 = 5847.404, w2 = 5724.052, dw = -0.07476, nw = 1651 150407.0021.ec.fits: ap = 47, w1 = 5788.347, w2 = 5666.243, dw = -0.074, nw = 1651 150407.0021.ec.fits: ap = 48, w1 = 5730.471, w2 = 5609.59, dw = -0.07326, nw = 1651 150407.0021.ec.fits: ap = 49, w1 = 5673.742, w2 = 5554.06, dw = -0.07253, nw = 1651 150407.0021.ec.fits: ap = 50, w1 = 5618.124, w2 = 5499.618, dw = -0.07182, nw = 1651 150407.0021.ec.fits: ap = 51, w1 = 5563.587, w2 = 5446.233, dw = -0.07112, nw = 1651 150407.0021.ec.fits: ap = 52, w1 = 5510.099, w2 = 5393.876, dw = -0.07044, nw = 1651 150407.0021.ec.fits: ap = 53, w1 = 5457.629, w2 = 5342.515, dw = -0.06977, nw = 1651 150407.0021.ec.fits: ap = 54, w1 = 5406.15, w2 = 5292.124, dw = -0.06911, nw = 1651 150407.0021.ec.fits: ap = 55, w1 = 5355.633, w2 = 5242.675, dw = -0.06846, nw = 1651 150407.0021.ec.fits: ap = 56, w1 = 5306.051, w2 = 5194.141, dw = -0.06782, nw = 1651 150407.0021.ec.fits: ap = 57, w1 = 5257.38, w2 = 5146.498, dw = -0.0672, nw = 1651 150407.0021.ec.fits: ap = 58, w1 = 5209.593, w2 = 5099.722, dw = -0.06659, nw = 1651 150407.0021.ec.fits: ap = 59, w1 = 5162.668, w2 = 5053.788, dw = -0.06599, nw = 1651 150407.0021.ec.fits: ap = 60, w1 = 5116.58, w2 = 5008.675, dw = -0.0654, nw = 1651 150407.0021.ec.fits: ap = 61, w1 = 5071.308, w2 = 4964.361, dw = -0.06482, nw = 1651 150407.0021.ec.fits: ap = 62, w1 = 5026.831, w2 = 4920.824, dw = -0.06425, nw = 1651 150407.0021.ec.fits: ap = 63, w1 = 4983.127, w2 = 4878.044, dw = -0.06369, nw = 1651 150407.0021.ec.fits: ap = 64, w1 = 4940.177, w2 = 4836.002, dw = -0.06314, nw = 1651 150407.0021.ec.fits: ap = 65, w1 = 4897.961, w2 = 4794.678, dw = -0.0626, nw = 1651 150407.0021.ec.fits: ap = 66, w1 = 4856.461, w2 = 4754.055, dw = -0.06206, nw = 1651 150407.0021.ec.fits: ap = 67, w1 = 4815.658, w2 = 4714.115, dw = -0.06154, nw = 1651 150407.0021.ec.fits: ap = 68, w1 = 4775.536, w2 = 4674.841, dw = -0.06103, nw = 1651 150407.0021.ec.fits: ap = 69, w1 = 4736.076, w2 = 4636.216, dw = -0.06052, nw = 1651 150407.0021.ec.fits: ap = 70, w1 = 4697.264, w2 = 4598.224, dw = -0.06002, nw = 1651 150407.0021.ec.fits: ap = 71, w1 = 4659.083, w2 = 4560.85, dw = -0.05954, nw = 1651 150407.0021.ec.fits: ap = 72, w1 = 4621.518, w2 = 4524.078, dw = -0.05905, nw = 1651 150407.0021.ec.fits: ap = 73, w1 = 4584.554, w2 = 4487.896, dw = -0.05858, nw = 1651 150407.0021.ec.fits: ap = 74, w1 = 4548.177, w2 = 4452.287, dw = -0.05812, nw = 1651 150407.0021.ec.fits: ap = 75, w1 = 4512.374, w2 = 4417.239, dw = -0.05766, nw = 1651 150407.0021.ec.fits: ap = 76, w1 = 4477.129, w2 = 4382.739, dw = -0.05721, nw = 1651 150407.0021.ec.fits: ap = 77, w1 = 4442.431, w2 = 4348.774, dw = -0.05676, nw = 1651 150407.0021.ec.fits: ap = 78, w1 = 4408.268, w2 = 4315.332, dw = -0.05632, nw = 1651 150407.0021.ec.fits: ap = 79, w1 = 4374.626, w2 = 4282.4, dw = -0.05589, nw = 1651 150407.0021.ec.fits: ap = 80, w1 = 4341.493, w2 = 4249.967, dw = -0.05547, nw = 1651 150407.0021.ec.fits: ap = 81, w1 = 4308.86, w2 = 4218.021, dw = -0.05505, nw = 1651 150407.0021.ec.fits: ap = 82, w1 = 4276.713, w2 = 4186.553, dw = -0.05464, nw = 1651 150407.0021.ec.fits: ap = 83, w1 = 4245.043, w2 = 4155.551, dw = -0.05424, nw = 1651 150407.0021.ec.fits: ap = 84, w1 = 4213.839, w2 = 4125.004, dw = -0.05384, nw = 1651 150407.0021.ec.fits: ap = 85, w1 = 4183.091, w2 = 4094.904, dw = -0.05345, nw = 1651 150407.0021.ec.fits: ap = 86, w1 = 4152.788, w2 = 4065.239, dw = -0.05306, nw = 1651 150407.0021.ec.fits: ap = 87, w1 = 4122.922, w2 = 4036.002, dw = -0.05268, nw = 1651 150407.0021.ec.fits: ap = 88, w1 = 4093.483, w2 = 4007.182, dw = -0.0523, nw = 1651 150407.0021.ec.fits: ap = 89, w1 = 4064.461, w2 = 3978.77, dw = -0.05193, nw = 1651 150407.0021.ec.fits: ap = 90, w1 = 4035.848, w2 = 3950.759, dw = -0.05157, nw = 1651 150407.0021.ec.fits: ap = 91, w1 = 4007.636, w2 = 3923.14, dw = -0.05121, nw = 1651 150407.0021.ec.fits: ap = 92, w1 = 3979.816, w2 = 3895.904, dw = -0.05086, nw = 1651 150407.0021.ec.fits: ap = 93, w1 = 3952.38, w2 = 3869.043, dw = -0.05051, nw = 1651 150407.0021.ec.fits: ap = 94, w1 = 3925.32, w2 = 3842.551, dw = -0.05016, nw = 1651 150407.0021.ec.fits: ap = 95, w1 = 3898.628, w2 = 3816.419, dw = -0.04982, nw = 1651 150407.0021.ec.fits: ap = 96, w1 = 3872.297, w2 = 3790.64, dw = -0.04949, nw = 1651 150407.0021.ec.fits: ap = 97, w1 = 3846.32, w2 = 3765.206, dw = -0.04916, nw = 1651 150407.0021.ec.fits: ap = 98, w1 = 3820.689, w2 = 3740.111, dw = -0.04884, nw = 1651 150407.0021.ec.fits: ap = 99, w1 = 3795.398, w2 = 3715.349, dw = -0.04852, nw = 1651 150407.0021.ec.fits: ap = 100, w1 = 3770.441, w2 = 3690.912, dw = -0.0482, nw = 1651 150407.0021.ec.fits: ap = 101, w1 = 3745.809, w2 = 3666.795, dw = -0.04789, nw = 1651 150407.0021.ec.fits: ap = 102, w1 = 3721.498, w2 = 3642.99, dw = -0.04758, nw = 1651 150407.0021.ec.fits: ap = 103, w1 = 3697.501, w2 = 3619.493, dw = -0.04728, nw = 1651 150407.0021.ec.fits: ap = 104, w1 = 3673.812, w2 = 3596.296, dw = -0.04698, nw = 1651 150407.0021.ec.fits: ap = 105, w1 = 3650.425, w2 = 3573.395, dw = -0.04668, nw = 1651 150407.0021.ec.fits: ap = 106, w1 = 3627.335, w2 = 3550.783, dw = -0.04639, nw = 1651 150407.0021.ec.fits: ap = 107, w1 = 3604.535, w2 = 3528.456, dw = -0.04611, nw = 1651 150407.0021.ec.fits: ap = 108, w1 = 3582.02, w2 = 3506.408, dw = -0.04583, nw = 1651 150407.0021.ec.fits: ap = 109, w1 = 3559.785, w2 = 3484.633, dw = -0.04555, nw = 1651 150407.0021.ec.fits: ap = 110, w1 = 3537.826, w2 = 3463.126, dw = -0.04527, nw = 1651 150407.0021.ec.fits: ap = 111, w1 = 3516.135, w2 = 3441.883, dw = -0.045, nw = 1651 150407.0021.ec.fits: ap = 112, w1 = 3494.71, w2 = 3420.899, dw = -0.04473, nw = 1651 150407.0021.ec.fits: ap = 113, w1 = 3473.545, w2 = 3400.169, dw = -0.04447, nw = 1651 150407.0021.ec.fits: ap = 114, w1 = 3452.635, w2 = 3379.689, dw = -0.04421, nw = 1651 150407.0021.ec.fits: ap = 115, w1 = 3431.976, w2 = 3359.453, dw = -0.04395, nw = 1651 150407.0022.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 0.34320411' 150407.0022.ec.fits: REFSPEC2 = 'EchelleThAr.0023.ec 0.65679592' 150407.0022.ec.fits: ap = 1, w1 = 10811.57, w2 = 10583.29, dw = -0.13835, nw = 1651 150407.0022.ec.fits: ap = 2, w1 = 10611.37, w2 = 10387.32, dw = -0.13578, nw = 1651 150407.0022.ec.fits: ap = 3, w1 = 10418.44, w2 = 10198.49, dw = -0.13331, nw = 1651 150407.0022.ec.fits: ap = 4, w1 = 10232.41, w2 = 10016.39, dw = -0.13092, nw = 1651 150407.0022.ec.fits: ap = 5, w1 = 10052.91, w2 = 9840.69, dw = -0.12862, nw = 1651 150407.0022.ec.fits: ap = 6, w1 = 9879.592, w2 = 9671.043, dw = -0.12639, nw = 1651 150407.0022.ec.fits: ap = 7, w1 = 9712.153, w2 = 9507.147, dw = -0.12425, nw = 1651 150407.0022.ec.fits: ap = 8, w1 = 9550.295, w2 = 9348.713, dw = -0.12217, nw = 1651 150407.0022.ec.fits: ap = 9, w1 = 9393.744, w2 = 9195.473, dw = -0.12016, nw = 1651 150407.0022.ec.fits: ap = 10, w1 = 9242.243, w2 = 9047.177, dw = -0.11822, nw = 1651 150407.0022.ec.fits: ap = 11, w1 = 9095.552, w2 = 8903.587, dw = -0.11634, nw = 1651 150407.0022.ec.fits: ap = 12, w1 = 8953.445, w2 = 8764.485, dw = -0.11452, nw = 1651 150407.0022.ec.fits: ap = 13, w1 = 8815.71, w2 = 8629.662, dw = -0.11276, nw = 1651 150407.0022.ec.fits: ap = 14, w1 = 8682.149, w2 = 8498.924, dw = -0.11105, nw = 1651 150407.0022.ec.fits: ap = 15, w1 = 8552.575, w2 = 8372.089, dw = -0.10939, nw = 1651 150407.0022.ec.fits: ap = 16, w1 = 8426.813, w2 = 8248.983, dw = -0.10778, nw = 1651 150407.0022.ec.fits: ap = 17, w1 = 8304.695, w2 = 8129.446, dw = -0.10621, nw = 1651 150407.0022.ec.fits: ap = 18, w1 = 8186.067, w2 = 8013.325, dw = -0.10469, nw = 1651 150407.0022.ec.fits: ap = 19, w1 = 8070.781, w2 = 7900.474, dw = -0.10322, nw = 1651 150407.0022.ec.fits: ap = 20, w1 = 7958.696, w2 = 7790.757, dw = -0.10178, nw = 1651 150407.0022.ec.fits: ap = 21, w1 = 7849.683, w2 = 7684.046, dw = -0.10039, nw = 1651 150407.0022.ec.fits: ap = 22, w1 = 7743.616, w2 = 7580.22, dw = -0.09903, nw = 1651 150407.0022.ec.fits: ap = 23, w1 = 7640.378, w2 = 7479.161, dw = -0.09771, nw = 1651 150407.0022.ec.fits: ap = 24, w1 = 7539.856, w2 = 7380.763, dw = -0.09642, nw = 1651 150407.0022.ec.fits: ap = 25, w1 = 7441.945, w2 = 7284.92, dw = -0.09517, nw = 1651 150407.0022.ec.fits: ap = 26, w1 = 7346.545, w2 = 7191.534, dw = -0.09395, nw = 1651 150407.0022.ec.fits: ap = 27, w1 = 7253.56, w2 = 7100.513, dw = -0.09276, nw = 1651 150407.0022.ec.fits: ap = 28, w1 = 7162.899, w2 = 7011.766, dw = -0.0916, nw = 1651 150407.0022.ec.fits: ap = 29, w1 = 7074.478, w2 = 6925.212, dw = -0.09046, nw = 1651 150407.0022.ec.fits: ap = 30, w1 = 6988.213, w2 = 6840.768, dw = -0.08936, nw = 1651 150407.0022.ec.fits: ap = 31, w1 = 6904.026, w2 = 6758.359, dw = -0.08828, nw = 1651 150407.0022.ec.fits: ap = 32, w1 = 6821.844, w2 = 6677.913, dw = -0.08723, nw = 1651 150407.0022.ec.fits: ap = 33, w1 = 6741.596, w2 = 6599.359, dw = -0.0862, nw = 1651 150407.0022.ec.fits: ap = 34, w1 = 6663.214, w2 = 6522.632, dw = -0.0852, nw = 1651 150407.0022.ec.fits: ap = 35, w1 = 6586.634, w2 = 6447.669, dw = -0.08422, nw = 1651 150407.0022.ec.fits: ap = 36, w1 = 6511.794, w2 = 6374.41, dw = -0.08326, nw = 1651 150407.0022.ec.fits: ap = 37, w1 = 6438.637, w2 = 6302.797, dw = -0.08233, nw = 1651 150407.0022.ec.fits: ap = 38, w1 = 6367.105, w2 = 6232.775, dw = -0.08141, nw = 1651 150407.0022.ec.fits: ap = 39, w1 = 6297.145, w2 = 6164.293, dw = -0.08052, nw = 1651 150407.0022.ec.fits: ap = 40, w1 = 6228.706, w2 = 6097.299, dw = -0.07964, nw = 1651 150407.0022.ec.fits: ap = 41, w1 = 6161.739, w2 = 6031.747, dw = -0.07878, nw = 1651 150407.0022.ec.fits: ap = 42, w1 = 6096.197, w2 = 5967.589, dw = -0.07794, nw = 1651 150407.0022.ec.fits: ap = 43, w1 = 6032.034, w2 = 5904.782, dw = -0.07712, nw = 1651 150407.0022.ec.fits: ap = 44, w1 = 5969.209, w2 = 5843.283, dw = -0.07632, nw = 1651 150407.0022.ec.fits: ap = 45, w1 = 5907.678, w2 = 5783.053, dw = -0.07553, nw = 1651 150407.0022.ec.fits: ap = 46, w1 = 5847.404, w2 = 5724.052, dw = -0.07476, nw = 1651 150407.0022.ec.fits: ap = 47, w1 = 5788.347, w2 = 5666.242, dw = -0.074, nw = 1651 150407.0022.ec.fits: ap = 48, w1 = 5730.472, w2 = 5609.59, dw = -0.07326, nw = 1651 150407.0022.ec.fits: ap = 49, w1 = 5673.742, w2 = 5554.059, dw = -0.07254, nw = 1651 150407.0022.ec.fits: ap = 50, w1 = 5618.125, w2 = 5499.617, dw = -0.07182, nw = 1651 150407.0022.ec.fits: ap = 51, w1 = 5563.588, w2 = 5446.232, dw = -0.07112, nw = 1651 150407.0022.ec.fits: ap = 52, w1 = 5510.1, w2 = 5393.875, dw = -0.07044, nw = 1651 150407.0022.ec.fits: ap = 53, w1 = 5457.631, w2 = 5342.514, dw = -0.06977, nw = 1651 150407.0022.ec.fits: ap = 54, w1 = 5406.151, w2 = 5292.123, dw = -0.06911, nw = 1651 150407.0022.ec.fits: ap = 55, w1 = 5355.634, w2 = 5242.674, dw = -0.06846, nw = 1651 150407.0022.ec.fits: ap = 56, w1 = 5306.053, w2 = 5194.14, dw = -0.06783, nw = 1651 150407.0022.ec.fits: ap = 57, w1 = 5257.381, w2 = 5146.498, dw = -0.0672, nw = 1651 150407.0022.ec.fits: ap = 58, w1 = 5209.595, w2 = 5099.721, dw = -0.06659, nw = 1651 150407.0022.ec.fits: ap = 59, w1 = 5162.669, w2 = 5053.788, dw = -0.06599, nw = 1651 150407.0022.ec.fits: ap = 60, w1 = 5116.582, w2 = 5008.675, dw = -0.0654, nw = 1651 150407.0022.ec.fits: ap = 61, w1 = 5071.31, w2 = 4964.36, dw = -0.06482, nw = 1651 150407.0022.ec.fits: ap = 62, w1 = 5026.833, w2 = 4920.823, dw = -0.06425, nw = 1651 150407.0022.ec.fits: ap = 63, w1 = 4983.129, w2 = 4878.043, dw = -0.06369, nw = 1651 150407.0022.ec.fits: ap = 64, w1 = 4940.179, w2 = 4836.001, dw = -0.06314, nw = 1651 150407.0022.ec.fits: ap = 65, w1 = 4897.964, w2 = 4794.678, dw = -0.0626, nw = 1651 150407.0022.ec.fits: ap = 66, w1 = 4856.464, w2 = 4754.056, dw = -0.06207, nw = 1651 150407.0022.ec.fits: ap = 67, w1 = 4815.661, w2 = 4714.116, dw = -0.06154, nw = 1651 150407.0022.ec.fits: ap = 68, w1 = 4775.539, w2 = 4674.842, dw = -0.06103, nw = 1651 150407.0022.ec.fits: ap = 69, w1 = 4736.08, w2 = 4636.217, dw = -0.06052, nw = 1651 150407.0022.ec.fits: ap = 70, w1 = 4697.268, w2 = 4598.225, dw = -0.06003, nw = 1651 150407.0022.ec.fits: ap = 71, w1 = 4659.087, w2 = 4560.851, dw = -0.05954, nw = 1651 150407.0022.ec.fits: ap = 72, w1 = 4621.522, w2 = 4524.08, dw = -0.05906, nw = 1651 150407.0022.ec.fits: ap = 73, w1 = 4584.559, w2 = 4487.898, dw = -0.05858, nw = 1651 150407.0022.ec.fits: ap = 74, w1 = 4548.182, w2 = 4452.29, dw = -0.05812, nw = 1651 150407.0022.ec.fits: ap = 75, w1 = 4512.378, w2 = 4417.243, dw = -0.05766, nw = 1651 150407.0022.ec.fits: ap = 76, w1 = 4477.134, w2 = 4382.743, dw = -0.05721, nw = 1651 150407.0022.ec.fits: ap = 77, w1 = 4442.437, w2 = 4348.778, dw = -0.05676, nw = 1651 150407.0022.ec.fits: ap = 78, w1 = 4408.273, w2 = 4315.336, dw = -0.05633, nw = 1651 150407.0022.ec.fits: ap = 79, w1 = 4374.631, w2 = 4282.405, dw = -0.05589, nw = 1651 150407.0022.ec.fits: ap = 80, w1 = 4341.499, w2 = 4249.972, dw = -0.05547, nw = 1651 150407.0022.ec.fits: ap = 81, w1 = 4308.866, w2 = 4218.027, dw = -0.05505, nw = 1651 150407.0022.ec.fits: ap = 82, w1 = 4276.72, w2 = 4186.559, dw = -0.05464, nw = 1651 150407.0022.ec.fits: ap = 83, w1 = 4245.05, w2 = 4155.558, dw = -0.05424, nw = 1651 150407.0022.ec.fits: ap = 84, w1 = 4213.846, w2 = 4125.012, dw = -0.05384, nw = 1651 150407.0022.ec.fits: ap = 85, w1 = 4183.098, w2 = 4094.912, dw = -0.05345, nw = 1651 150407.0022.ec.fits: ap = 86, w1 = 4152.796, w2 = 4065.248, dw = -0.05306, nw = 1651 150407.0022.ec.fits: ap = 87, w1 = 4122.93, w2 = 4036.011, dw = -0.05268, nw = 1651 150407.0022.ec.fits: ap = 88, w1 = 4093.491, w2 = 4007.192, dw = -0.0523, nw = 1651 150407.0022.ec.fits: ap = 89, w1 = 4064.47, w2 = 3978.782, dw = -0.05193, nw = 1651 150407.0022.ec.fits: ap = 90, w1 = 4035.858, w2 = 3950.771, dw = -0.05157, nw = 1651 150407.0022.ec.fits: ap = 91, w1 = 4007.646, w2 = 3923.153, dw = -0.05121, nw = 1651 150407.0022.ec.fits: ap = 92, w1 = 3979.826, w2 = 3895.917, dw = -0.05085, nw = 1651 150407.0022.ec.fits: ap = 93, w1 = 3952.39, w2 = 3869.058, dw = -0.0505, nw = 1651 150407.0022.ec.fits: ap = 94, w1 = 3925.331, w2 = 3842.566, dw = -0.05016, nw = 1651 150407.0022.ec.fits: ap = 95, w1 = 3898.64, w2 = 3816.435, dw = -0.04982, nw = 1651 150407.0022.ec.fits: ap = 96, w1 = 3872.309, w2 = 3790.657, dw = -0.04949, nw = 1651 150407.0022.ec.fits: ap = 97, w1 = 3846.333, w2 = 3765.224, dw = -0.04916, nw = 1651 150407.0022.ec.fits: ap = 98, w1 = 3820.703, w2 = 3740.131, dw = -0.04883, nw = 1651 150407.0022.ec.fits: ap = 99, w1 = 3795.412, w2 = 3715.369, dw = -0.04851, nw = 1651 150407.0022.ec.fits: ap = 100, w1 = 3770.455, w2 = 3690.934, dw = -0.04819, nw = 1651 150407.0022.ec.fits: ap = 101, w1 = 3745.825, w2 = 3666.818, dw = -0.04788, nw = 1651 150407.0022.ec.fits: ap = 102, w1 = 3721.515, w2 = 3643.014, dw = -0.04758, nw = 1651 150407.0022.ec.fits: ap = 103, w1 = 3697.518, w2 = 3619.518, dw = -0.04727, nw = 1651 150407.0022.ec.fits: ap = 104, w1 = 3673.83, w2 = 3596.323, dw = -0.04697, nw = 1651 150407.0022.ec.fits: ap = 105, w1 = 3650.444, w2 = 3573.423, dw = -0.04668, nw = 1651 150407.0022.ec.fits: ap = 106, w1 = 3627.354, w2 = 3550.813, dw = -0.04639, nw = 1651 150407.0022.ec.fits: ap = 107, w1 = 3604.555, w2 = 3528.487, dw = -0.0461, nw = 1651 150407.0022.ec.fits: ap = 108, w1 = 3582.041, w2 = 3506.44, dw = -0.04582, nw = 1651 150407.0022.ec.fits: ap = 109, w1 = 3559.807, w2 = 3484.667, dw = -0.04554, nw = 1651 150407.0022.ec.fits: ap = 110, w1 = 3537.848, w2 = 3463.162, dw = -0.04526, nw = 1651 150407.0022.ec.fits: ap = 111, w1 = 3516.159, w2 = 3441.921, dw = -0.04499, nw = 1651 150407.0022.ec.fits: ap = 112, w1 = 3494.735, w2 = 3420.938, dw = -0.04473, nw = 1651 150407.0022.ec.fits: ap = 113, w1 = 3473.571, w2 = 3400.21, dw = -0.04446, nw = 1651 150407.0022.ec.fits: ap = 114, w1 = 3452.663, w2 = 3379.731, dw = -0.0442, nw = 1651 150407.0022.ec.fits: ap = 115, w1 = 3432.005, w2 = 3359.497, dw = -0.04394, nw = 1651 150407.0024.ec.fits: REFSPEC1 = 'EchelleThAr.0023.ec 0.70561409' 150407.0024.ec.fits: REFSPEC2 = 'EchelleThAr.0027.ec 0.29438594' 150407.0024.ec.fits: ap = 1, w1 = 10811.58, w2 = 10583.29, dw = -0.13836, nw = 1651 150407.0024.ec.fits: ap = 2, w1 = 10611.38, w2 = 10387.33, dw = -0.13579, nw = 1651 150407.0024.ec.fits: ap = 3, w1 = 10418.45, w2 = 10198.49, dw = -0.13331, nw = 1651 150407.0024.ec.fits: ap = 4, w1 = 10232.42, w2 = 10016.4, dw = -0.13092, nw = 1651 150407.0024.ec.fits: ap = 5, w1 = 10052.91, w2 = 9840.691, dw = -0.12862, nw = 1651 150407.0024.ec.fits: ap = 6, w1 = 9879.599, w2 = 9671.044, dw = -0.1264, nw = 1651 150407.0024.ec.fits: ap = 7, w1 = 9712.158, w2 = 9507.147, dw = -0.12425, nw = 1651 150407.0024.ec.fits: ap = 8, w1 = 9550.3, w2 = 9348.714, dw = -0.12217, nw = 1651 150407.0024.ec.fits: ap = 9, w1 = 9393.748, w2 = 9195.474, dw = -0.12017, nw = 1651 150407.0024.ec.fits: ap = 10, w1 = 9242.246, w2 = 9047.177, dw = -0.11822, nw = 1651 150407.0024.ec.fits: ap = 11, w1 = 9095.554, w2 = 8903.588, dw = -0.11634, nw = 1651 150407.0024.ec.fits: ap = 12, w1 = 8953.446, w2 = 8764.485, dw = -0.11452, nw = 1651 150407.0024.ec.fits: ap = 13, w1 = 8815.711, w2 = 8629.662, dw = -0.11276, nw = 1651 150407.0024.ec.fits: ap = 14, w1 = 8682.15, w2 = 8498.924, dw = -0.11105, nw = 1651 150407.0024.ec.fits: ap = 15, w1 = 8552.575, w2 = 8372.089, dw = -0.10939, nw = 1651 150407.0024.ec.fits: ap = 16, w1 = 8426.813, w2 = 8248.984, dw = -0.10777, nw = 1651 150407.0024.ec.fits: ap = 17, w1 = 8304.695, w2 = 8129.447, dw = -0.10621, nw = 1651 150407.0024.ec.fits: ap = 18, w1 = 8186.066, w2 = 8013.325, dw = -0.10469, nw = 1651 150407.0024.ec.fits: ap = 19, w1 = 8070.779, w2 = 7900.474, dw = -0.10322, nw = 1651 150407.0024.ec.fits: ap = 20, w1 = 7958.695, w2 = 7790.758, dw = -0.10178, nw = 1651 150407.0024.ec.fits: ap = 21, w1 = 7849.681, w2 = 7684.047, dw = -0.10038, nw = 1651 150407.0024.ec.fits: ap = 22, w1 = 7743.614, w2 = 7580.22, dw = -0.09903, nw = 1651 150407.0024.ec.fits: ap = 23, w1 = 7640.376, w2 = 7479.162, dw = -0.0977, nw = 1651 150407.0024.ec.fits: ap = 24, w1 = 7539.854, w2 = 7380.764, dw = -0.09642, nw = 1651 150407.0024.ec.fits: ap = 25, w1 = 7441.943, w2 = 7284.921, dw = -0.09517, nw = 1651 150407.0024.ec.fits: ap = 26, w1 = 7346.543, w2 = 7191.535, dw = -0.09394, nw = 1651 150407.0024.ec.fits: ap = 27, w1 = 7253.558, w2 = 7100.514, dw = -0.09275, nw = 1651 150407.0024.ec.fits: ap = 28, w1 = 7162.897, w2 = 7011.768, dw = -0.09159, nw = 1651 150407.0024.ec.fits: ap = 29, w1 = 7074.476, w2 = 6925.213, dw = -0.09046, nw = 1651 150407.0024.ec.fits: ap = 30, w1 = 6988.211, w2 = 6840.77, dw = -0.08936, nw = 1651 150407.0024.ec.fits: ap = 31, w1 = 6904.024, w2 = 6758.361, dw = -0.08828, nw = 1651 150407.0024.ec.fits: ap = 32, w1 = 6821.842, w2 = 6677.914, dw = -0.08723, nw = 1651 150407.0024.ec.fits: ap = 33, w1 = 6741.594, w2 = 6599.36, dw = -0.0862, nw = 1651 150407.0024.ec.fits: ap = 34, w1 = 6663.212, w2 = 6522.633, dw = -0.0852, nw = 1651 150407.0024.ec.fits: ap = 35, w1 = 6586.632, w2 = 6447.67, dw = -0.08422, nw = 1651 150407.0024.ec.fits: ap = 36, w1 = 6511.793, w2 = 6374.411, dw = -0.08326, nw = 1651 150407.0024.ec.fits: ap = 37, w1 = 6438.635, w2 = 6302.798, dw = -0.08233, nw = 1651 150407.0024.ec.fits: ap = 38, w1 = 6367.103, w2 = 6232.777, dw = -0.08141, nw = 1651 150407.0024.ec.fits: ap = 39, w1 = 6297.144, w2 = 6164.294, dw = -0.08051, nw = 1651 150407.0024.ec.fits: ap = 40, w1 = 6228.705, w2 = 6097.301, dw = -0.07964, nw = 1651 150407.0024.ec.fits: ap = 41, w1 = 6161.738, w2 = 6031.748, dw = -0.07878, nw = 1651 150407.0024.ec.fits: ap = 42, w1 = 6096.196, w2 = 5967.59, dw = -0.07794, nw = 1651 150407.0024.ec.fits: ap = 43, w1 = 6032.033, w2 = 5904.783, dw = -0.07712, nw = 1651 150407.0024.ec.fits: ap = 44, w1 = 5969.208, w2 = 5843.284, dw = -0.07632, nw = 1651 150407.0024.ec.fits: ap = 45, w1 = 5907.678, w2 = 5783.054, dw = -0.07553, nw = 1651 150407.0024.ec.fits: ap = 46, w1 = 5847.404, w2 = 5724.052, dw = -0.07476, nw = 1651 150407.0024.ec.fits: ap = 47, w1 = 5788.347, w2 = 5666.243, dw = -0.074, nw = 1651 150407.0024.ec.fits: ap = 48, w1 = 5730.472, w2 = 5609.59, dw = -0.07326, nw = 1651 150407.0024.ec.fits: ap = 49, w1 = 5673.742, w2 = 5554.06, dw = -0.07254, nw = 1651 150407.0024.ec.fits: ap = 50, w1 = 5618.125, w2 = 5499.618, dw = -0.07182, nw = 1651 150407.0024.ec.fits: ap = 51, w1 = 5563.589, w2 = 5446.233, dw = -0.07112, nw = 1651 150407.0024.ec.fits: ap = 52, w1 = 5510.1, w2 = 5393.875, dw = -0.07044, nw = 1651 150407.0024.ec.fits: ap = 53, w1 = 5457.631, w2 = 5342.514, dw = -0.06977, nw = 1651 150407.0024.ec.fits: ap = 54, w1 = 5406.152, w2 = 5292.123, dw = -0.06911, nw = 1651 150407.0024.ec.fits: ap = 55, w1 = 5355.635, w2 = 5242.674, dw = -0.06846, nw = 1651 150407.0024.ec.fits: ap = 56, w1 = 5306.054, w2 = 5194.14, dw = -0.06783, nw = 1651 150407.0024.ec.fits: ap = 57, w1 = 5257.383, w2 = 5146.497, dw = -0.0672, nw = 1651 150407.0024.ec.fits: ap = 58, w1 = 5209.596, w2 = 5099.721, dw = -0.06659, nw = 1651 150407.0024.ec.fits: ap = 59, w1 = 5162.671, w2 = 5053.787, dw = -0.06599, nw = 1651 150407.0024.ec.fits: ap = 60, w1 = 5116.584, w2 = 5008.674, dw = -0.0654, nw = 1651 150407.0024.ec.fits: ap = 61, w1 = 5071.312, w2 = 4964.36, dw = -0.06482, nw = 1651 150407.0024.ec.fits: ap = 62, w1 = 5026.835, w2 = 4920.822, dw = -0.06425, nw = 1651 150407.0024.ec.fits: ap = 63, w1 = 4983.131, w2 = 4878.043, dw = -0.06369, nw = 1651 150407.0024.ec.fits: ap = 64, w1 = 4940.182, w2 = 4836.001, dw = -0.06314, nw = 1651 150407.0024.ec.fits: ap = 65, w1 = 4897.966, w2 = 4794.677, dw = -0.0626, nw = 1651 150407.0024.ec.fits: ap = 66, w1 = 4856.466, w2 = 4754.055, dw = -0.06207, nw = 1651 150407.0024.ec.fits: ap = 67, w1 = 4815.663, w2 = 4714.115, dw = -0.06154, nw = 1651 150407.0024.ec.fits: ap = 68, w1 = 4775.541, w2 = 4674.84, dw = -0.06103, nw = 1651 150407.0024.ec.fits: ap = 69, w1 = 4736.082, w2 = 4636.215, dw = -0.06053, nw = 1651 150407.0024.ec.fits: ap = 70, w1 = 4697.27, w2 = 4598.224, dw = -0.06003, nw = 1651 150407.0024.ec.fits: ap = 71, w1 = 4659.089, w2 = 4560.85, dw = -0.05954, nw = 1651 150407.0024.ec.fits: ap = 72, w1 = 4621.525, w2 = 4524.079, dw = -0.05906, nw = 1651 150407.0024.ec.fits: ap = 73, w1 = 4584.561, w2 = 4487.896, dw = -0.05858, nw = 1651 150407.0024.ec.fits: ap = 74, w1 = 4548.184, w2 = 4452.288, dw = -0.05812, nw = 1651 150407.0024.ec.fits: ap = 75, w1 = 4512.381, w2 = 4417.241, dw = -0.05766, nw = 1651 150407.0024.ec.fits: ap = 76, w1 = 4477.136, w2 = 4382.741, dw = -0.05721, nw = 1651 150407.0024.ec.fits: ap = 77, w1 = 4442.439, w2 = 4348.777, dw = -0.05676, nw = 1651 150407.0024.ec.fits: ap = 78, w1 = 4408.275, w2 = 4315.335, dw = -0.05633, nw = 1651 150407.0024.ec.fits: ap = 79, w1 = 4374.633, w2 = 4282.403, dw = -0.0559, nw = 1651 150407.0024.ec.fits: ap = 80, w1 = 4341.501, w2 = 4249.971, dw = -0.05547, nw = 1651 150407.0024.ec.fits: ap = 81, w1 = 4308.868, w2 = 4218.026, dw = -0.05506, nw = 1651 150407.0024.ec.fits: ap = 82, w1 = 4276.722, w2 = 4186.558, dw = -0.05464, nw = 1651 150407.0024.ec.fits: ap = 83, w1 = 4245.052, w2 = 4155.556, dw = -0.05424, nw = 1651 150407.0024.ec.fits: ap = 84, w1 = 4213.848, w2 = 4125.011, dw = -0.05384, nw = 1651 150407.0024.ec.fits: ap = 85, w1 = 4183.1, w2 = 4094.911, dw = -0.05345, nw = 1651 150407.0024.ec.fits: ap = 86, w1 = 4152.797, w2 = 4065.247, dw = -0.05306, nw = 1651 150407.0024.ec.fits: ap = 87, w1 = 4122.931, w2 = 4036.01, dw = -0.05268, nw = 1651 150407.0024.ec.fits: ap = 88, w1 = 4093.492, w2 = 4007.191, dw = -0.0523, nw = 1651 150407.0024.ec.fits: ap = 89, w1 = 4064.47, w2 = 3978.781, dw = -0.05193, nw = 1651 150407.0024.ec.fits: ap = 90, w1 = 4035.858, w2 = 3950.771, dw = -0.05157, nw = 1651 150407.0024.ec.fits: ap = 91, w1 = 4007.646, w2 = 3923.152, dw = -0.05121, nw = 1651 150407.0024.ec.fits: ap = 92, w1 = 3979.826, w2 = 3895.917, dw = -0.05085, nw = 1651 150407.0024.ec.fits: ap = 93, w1 = 3952.389, w2 = 3869.058, dw = -0.0505, nw = 1651 150407.0024.ec.fits: ap = 94, w1 = 3925.329, w2 = 3842.567, dw = -0.05016, nw = 1651 150407.0024.ec.fits: ap = 95, w1 = 3898.638, w2 = 3816.436, dw = -0.04982, nw = 1651 150407.0024.ec.fits: ap = 96, w1 = 3872.307, w2 = 3790.658, dw = -0.04948, nw = 1651 150407.0024.ec.fits: ap = 97, w1 = 3846.33, w2 = 3765.226, dw = -0.04915, nw = 1651 150407.0024.ec.fits: ap = 98, w1 = 3820.7, w2 = 3740.133, dw = -0.04883, nw = 1651 150407.0024.ec.fits: ap = 99, w1 = 3795.41, w2 = 3715.372, dw = -0.04851, nw = 1651 150407.0024.ec.fits: ap = 100, w1 = 3770.452, w2 = 3690.937, dw = -0.04819, nw = 1651 150407.0024.ec.fits: ap = 101, w1 = 3745.821, w2 = 3666.821, dw = -0.04788, nw = 1651 150407.0024.ec.fits: ap = 102, w1 = 3721.51, w2 = 3643.018, dw = -0.04757, nw = 1651 150407.0024.ec.fits: ap = 103, w1 = 3697.514, w2 = 3619.523, dw = -0.04727, nw = 1651 150407.0024.ec.fits: ap = 104, w1 = 3673.825, w2 = 3596.328, dw = -0.04697, nw = 1651 150407.0024.ec.fits: ap = 105, w1 = 3650.438, w2 = 3573.429, dw = -0.04667, nw = 1651 150407.0024.ec.fits: ap = 106, w1 = 3627.348, w2 = 3550.82, dw = -0.04638, nw = 1651 150407.0024.ec.fits: ap = 107, w1 = 3604.548, w2 = 3528.494, dw = -0.04609, nw = 1651 150407.0024.ec.fits: ap = 108, w1 = 3582.034, w2 = 3506.448, dw = -0.04581, nw = 1651 150407.0024.ec.fits: ap = 109, w1 = 3559.8, w2 = 3484.675, dw = -0.04553, nw = 1651 150407.0024.ec.fits: ap = 110, w1 = 3537.84, w2 = 3463.171, dw = -0.04525, nw = 1651 150407.0024.ec.fits: ap = 111, w1 = 3516.151, w2 = 3441.931, dw = -0.04498, nw = 1651 150407.0024.ec.fits: ap = 112, w1 = 3494.726, w2 = 3420.949, dw = -0.04471, nw = 1651 150407.0024.ec.fits: ap = 113, w1 = 3473.561, w2 = 3400.222, dw = -0.04445, nw = 1651 150407.0024.ec.fits: ap = 114, w1 = 3452.652, w2 = 3379.744, dw = -0.04419, nw = 1651 150407.0024.ec.fits: ap = 115, w1 = 3431.993, w2 = 3359.511, dw = -0.04393, nw = 1651 150407.0025.ec.fits: REFSPEC1 = 'EchelleThAr.0023.ec 0.27380025' 150407.0025.ec.fits: REFSPEC2 = 'EchelleThAr.0027.ec 0.72619975' 150407.0025.ec.fits: ap = 1, w1 = 10811.6, w2 = 10583.29, dw = -0.13837, nw = 1651 150407.0025.ec.fits: ap = 2, w1 = 10611.39, w2 = 10387.33, dw = -0.1358, nw = 1651 150407.0025.ec.fits: ap = 3, w1 = 10418.47, w2 = 10198.49, dw = -0.13332, nw = 1651 150407.0025.ec.fits: ap = 4, w1 = 10232.43, w2 = 10016.4, dw = -0.13093, nw = 1651 150407.0025.ec.fits: ap = 5, w1 = 10052.93, w2 = 9840.69, dw = -0.12863, nw = 1651 150407.0025.ec.fits: ap = 6, w1 = 9879.609, w2 = 9671.043, dw = -0.1264, nw = 1651 150407.0025.ec.fits: ap = 7, w1 = 9712.168, w2 = 9507.146, dw = -0.12426, nw = 1651 150407.0025.ec.fits: ap = 8, w1 = 9550.308, w2 = 9348.712, dw = -0.12218, nw = 1651 150407.0025.ec.fits: ap = 9, w1 = 9393.755, w2 = 9195.472, dw = -0.12017, nw = 1651 150407.0025.ec.fits: ap = 10, w1 = 9242.253, w2 = 9047.175, dw = -0.11823, nw = 1651 150407.0025.ec.fits: ap = 11, w1 = 9095.56, w2 = 8903.585, dw = -0.11635, nw = 1651 150407.0025.ec.fits: ap = 12, w1 = 8953.451, w2 = 8764.482, dw = -0.11453, nw = 1651 150407.0025.ec.fits: ap = 13, w1 = 8815.715, w2 = 8629.659, dw = -0.11276, nw = 1651 150407.0025.ec.fits: ap = 14, w1 = 8682.153, w2 = 8498.922, dw = -0.11105, nw = 1651 150407.0025.ec.fits: ap = 15, w1 = 8552.579, w2 = 8372.086, dw = -0.10939, nw = 1651 150407.0025.ec.fits: ap = 16, w1 = 8426.815, w2 = 8248.982, dw = -0.10778, nw = 1651 150407.0025.ec.fits: ap = 17, w1 = 8304.697, w2 = 8129.445, dw = -0.10621, nw = 1651 150407.0025.ec.fits: ap = 18, w1 = 8186.068, w2 = 8013.323, dw = -0.10469, nw = 1651 150407.0025.ec.fits: ap = 19, w1 = 8070.78, w2 = 7900.472, dw = -0.10322, nw = 1651 150407.0025.ec.fits: ap = 20, w1 = 7958.696, w2 = 7790.756, dw = -0.10178, nw = 1651 150407.0025.ec.fits: ap = 21, w1 = 7849.682, w2 = 7684.045, dw = -0.10039, nw = 1651 150407.0025.ec.fits: ap = 22, w1 = 7743.614, w2 = 7580.219, dw = -0.09903, nw = 1651 150407.0025.ec.fits: ap = 23, w1 = 7640.375, w2 = 7479.161, dw = -0.09771, nw = 1651 150407.0025.ec.fits: ap = 24, w1 = 7539.853, w2 = 7380.762, dw = -0.09642, nw = 1651 150407.0025.ec.fits: ap = 25, w1 = 7441.942, w2 = 7284.92, dw = -0.09517, nw = 1651 150407.0025.ec.fits: ap = 26, w1 = 7346.542, w2 = 7191.534, dw = -0.09394, nw = 1651 150407.0025.ec.fits: ap = 27, w1 = 7253.557, w2 = 7100.513, dw = -0.09275, nw = 1651 150407.0025.ec.fits: ap = 28, w1 = 7162.896, w2 = 7011.767, dw = -0.09159, nw = 1651 150407.0025.ec.fits: ap = 29, w1 = 7074.474, w2 = 6925.213, dw = -0.09046, nw = 1651 150407.0025.ec.fits: ap = 30, w1 = 6988.209, w2 = 6840.769, dw = -0.08936, nw = 1651 150407.0025.ec.fits: ap = 31, w1 = 6904.023, w2 = 6758.361, dw = -0.08828, nw = 1651 150407.0025.ec.fits: ap = 32, w1 = 6821.841, w2 = 6677.914, dw = -0.08723, nw = 1651 150407.0025.ec.fits: ap = 33, w1 = 6741.593, w2 = 6599.361, dw = -0.0862, nw = 1651 150407.0025.ec.fits: ap = 34, w1 = 6663.211, w2 = 6522.634, dw = -0.0852, nw = 1651 150407.0025.ec.fits: ap = 35, w1 = 6586.631, w2 = 6447.671, dw = -0.08422, nw = 1651 150407.0025.ec.fits: ap = 36, w1 = 6511.791, w2 = 6374.412, dw = -0.08326, nw = 1651 150407.0025.ec.fits: ap = 37, w1 = 6438.634, w2 = 6302.799, dw = -0.08232, nw = 1651 150407.0025.ec.fits: ap = 38, w1 = 6367.102, w2 = 6232.778, dw = -0.08141, nw = 1651 150407.0025.ec.fits: ap = 39, w1 = 6297.142, w2 = 6164.296, dw = -0.08051, nw = 1651 150407.0025.ec.fits: ap = 40, w1 = 6228.703, w2 = 6097.302, dw = -0.07964, nw = 1651 150407.0025.ec.fits: ap = 41, w1 = 6161.737, w2 = 6031.749, dw = -0.07878, nw = 1651 150407.0025.ec.fits: ap = 42, w1 = 6096.194, w2 = 5967.591, dw = -0.07794, nw = 1651 150407.0025.ec.fits: ap = 43, w1 = 6032.032, w2 = 5904.784, dw = -0.07712, nw = 1651 150407.0025.ec.fits: ap = 44, w1 = 5969.207, w2 = 5843.286, dw = -0.07632, nw = 1651 150407.0025.ec.fits: ap = 45, w1 = 5907.677, w2 = 5783.055, dw = -0.07553, nw = 1651 150407.0025.ec.fits: ap = 46, w1 = 5847.403, w2 = 5724.054, dw = -0.07476, nw = 1651 150407.0025.ec.fits: ap = 47, w1 = 5788.346, w2 = 5666.245, dw = -0.074, nw = 1651 150407.0025.ec.fits: ap = 48, w1 = 5730.471, w2 = 5609.592, dw = -0.07326, nw = 1651 150407.0025.ec.fits: ap = 49, w1 = 5673.742, w2 = 5554.061, dw = -0.07253, nw = 1651 150407.0025.ec.fits: ap = 50, w1 = 5618.125, w2 = 5499.619, dw = -0.07182, nw = 1651 150407.0025.ec.fits: ap = 51, w1 = 5563.588, w2 = 5446.234, dw = -0.07112, nw = 1651 150407.0025.ec.fits: ap = 52, w1 = 5510.1, w2 = 5393.876, dw = -0.07044, nw = 1651 150407.0025.ec.fits: ap = 53, w1 = 5457.631, w2 = 5342.516, dw = -0.06977, nw = 1651 150407.0025.ec.fits: ap = 54, w1 = 5406.152, w2 = 5292.124, dw = -0.06911, nw = 1651 150407.0025.ec.fits: ap = 55, w1 = 5355.635, w2 = 5242.675, dw = -0.06846, nw = 1651 150407.0025.ec.fits: ap = 56, w1 = 5306.054, w2 = 5194.141, dw = -0.06783, nw = 1651 150407.0025.ec.fits: ap = 57, w1 = 5257.383, w2 = 5146.498, dw = -0.0672, nw = 1651 150407.0025.ec.fits: ap = 58, w1 = 5209.596, w2 = 5099.721, dw = -0.06659, nw = 1651 150407.0025.ec.fits: ap = 59, w1 = 5162.671, w2 = 5053.788, dw = -0.06599, nw = 1651 150407.0025.ec.fits: ap = 60, w1 = 5116.584, w2 = 5008.674, dw = -0.0654, nw = 1651 150407.0025.ec.fits: ap = 61, w1 = 5071.312, w2 = 4964.359, dw = -0.06482, nw = 1651 150407.0025.ec.fits: ap = 62, w1 = 5026.835, w2 = 4920.822, dw = -0.06425, nw = 1651 150407.0025.ec.fits: ap = 63, w1 = 4983.132, w2 = 4878.042, dw = -0.06369, nw = 1651 150407.0025.ec.fits: ap = 64, w1 = 4940.182, w2 = 4835.999, dw = -0.06314, nw = 1651 150407.0025.ec.fits: ap = 65, w1 = 4897.966, w2 = 4794.676, dw = -0.0626, nw = 1651 150407.0025.ec.fits: ap = 66, w1 = 4856.466, w2 = 4754.053, dw = -0.06207, nw = 1651 150407.0025.ec.fits: ap = 67, w1 = 4815.663, w2 = 4714.112, dw = -0.06155, nw = 1651 150407.0025.ec.fits: ap = 68, w1 = 4775.541, w2 = 4674.838, dw = -0.06103, nw = 1651 150407.0025.ec.fits: ap = 69, w1 = 4736.082, w2 = 4636.213, dw = -0.06053, nw = 1651 150407.0025.ec.fits: ap = 70, w1 = 4697.27, w2 = 4598.22, dw = -0.06003, nw = 1651 150407.0025.ec.fits: ap = 71, w1 = 4659.089, w2 = 4560.846, dw = -0.05954, nw = 1651 150407.0025.ec.fits: ap = 72, w1 = 4621.524, w2 = 4524.075, dw = -0.05906, nw = 1651 150407.0025.ec.fits: ap = 73, w1 = 4584.56, w2 = 4487.892, dw = -0.05859, nw = 1651 150407.0025.ec.fits: ap = 74, w1 = 4548.183, w2 = 4452.283, dw = -0.05812, nw = 1651 150407.0025.ec.fits: ap = 75, w1 = 4512.379, w2 = 4417.236, dw = -0.05766, nw = 1651 150407.0025.ec.fits: ap = 76, w1 = 4477.135, w2 = 4382.736, dw = -0.05721, nw = 1651 150407.0025.ec.fits: ap = 77, w1 = 4442.437, w2 = 4348.77, dw = -0.05677, nw = 1651 150407.0025.ec.fits: ap = 78, w1 = 4408.273, w2 = 4315.328, dw = -0.05633, nw = 1651 150407.0025.ec.fits: ap = 79, w1 = 4374.63, w2 = 4282.396, dw = -0.0559, nw = 1651 150407.0025.ec.fits: ap = 80, w1 = 4341.498, w2 = 4249.963, dw = -0.05548, nw = 1651 150407.0025.ec.fits: ap = 81, w1 = 4308.864, w2 = 4218.018, dw = -0.05506, nw = 1651 150407.0025.ec.fits: ap = 82, w1 = 4276.717, w2 = 4186.549, dw = -0.05465, nw = 1651 150407.0025.ec.fits: ap = 83, w1 = 4245.047, w2 = 4155.547, dw = -0.05424, nw = 1651 150407.0025.ec.fits: ap = 84, w1 = 4213.842, w2 = 4125.001, dw = -0.05384, nw = 1651 150407.0025.ec.fits: ap = 85, w1 = 4183.093, w2 = 4094.9, dw = -0.05345, nw = 1651 150407.0025.ec.fits: ap = 86, w1 = 4152.79, w2 = 4065.236, dw = -0.05306, nw = 1651 150407.0025.ec.fits: ap = 87, w1 = 4122.924, w2 = 4035.999, dw = -0.05268, nw = 1651 150407.0025.ec.fits: ap = 88, w1 = 4093.483, w2 = 4007.179, dw = -0.05231, nw = 1651 150407.0025.ec.fits: ap = 89, w1 = 4064.461, w2 = 3978.768, dw = -0.05194, nw = 1651 150407.0025.ec.fits: ap = 90, w1 = 4035.848, w2 = 3950.758, dw = -0.05157, nw = 1651 150407.0025.ec.fits: ap = 91, w1 = 4007.635, w2 = 3923.138, dw = -0.05121, nw = 1651 150407.0025.ec.fits: ap = 92, w1 = 3979.814, w2 = 3895.903, dw = -0.05086, nw = 1651 150407.0025.ec.fits: ap = 93, w1 = 3952.377, w2 = 3869.043, dw = -0.05051, nw = 1651 150407.0025.ec.fits: ap = 94, w1 = 3925.316, w2 = 3842.551, dw = -0.05016, nw = 1651 150407.0025.ec.fits: ap = 95, w1 = 3898.623, w2 = 3816.42, dw = -0.04982, nw = 1651 150407.0025.ec.fits: ap = 96, w1 = 3872.292, w2 = 3790.641, dw = -0.04949, nw = 1651 150407.0025.ec.fits: ap = 97, w1 = 3846.314, w2 = 3765.208, dw = -0.04915, nw = 1651 150407.0025.ec.fits: ap = 98, w1 = 3820.682, w2 = 3740.115, dw = -0.04883, nw = 1651 150407.0025.ec.fits: ap = 99, w1 = 3795.39, w2 = 3715.353, dw = -0.04851, nw = 1651 150407.0025.ec.fits: ap = 100, w1 = 3770.432, w2 = 3690.918, dw = -0.04819, nw = 1651 150407.0025.ec.fits: ap = 101, w1 = 3745.799, w2 = 3666.802, dw = -0.04788, nw = 1651 150407.0025.ec.fits: ap = 102, w1 = 3721.487, w2 = 3642.998, dw = -0.04757, nw = 1651 150407.0025.ec.fits: ap = 103, w1 = 3697.489, w2 = 3619.502, dw = -0.04726, nw = 1651 150407.0025.ec.fits: ap = 104, w1 = 3673.799, w2 = 3596.307, dw = -0.04696, nw = 1651 150407.0025.ec.fits: ap = 105, w1 = 3650.41, w2 = 3573.407, dw = -0.04667, nw = 1651 150407.0025.ec.fits: ap = 106, w1 = 3627.318, w2 = 3550.797, dw = -0.04638, nw = 1651 150407.0025.ec.fits: ap = 107, w1 = 3604.517, w2 = 3528.471, dw = -0.04609, nw = 1651 150407.0025.ec.fits: ap = 108, w1 = 3582.001, w2 = 3506.425, dw = -0.0458, nw = 1651 150407.0025.ec.fits: ap = 109, w1 = 3559.765, w2 = 3484.651, dw = -0.04552, nw = 1651 150407.0025.ec.fits: ap = 110, w1 = 3537.804, w2 = 3463.147, dw = -0.04525, nw = 1651 150407.0025.ec.fits: ap = 111, w1 = 3516.112, w2 = 3441.906, dw = -0.04497, nw = 1651 150407.0025.ec.fits: ap = 112, w1 = 3494.685, w2 = 3420.924, dw = -0.0447, nw = 1651 150407.0025.ec.fits: ap = 113, w1 = 3473.519, w2 = 3400.196, dw = -0.04444, nw = 1651 150407.0025.ec.fits: ap = 114, w1 = 3452.607, w2 = 3379.718, dw = -0.04418, nw = 1651 150407.0025.ec.fits: ap = 115, w1 = 3431.946, w2 = 3359.484, dw = -0.04392, nw = 1651 150407.0026.ec.fits: REFSPEC1 = 'EchelleThAr.0023.ec 0.060256287' 150407.0026.ec.fits: REFSPEC2 = 'EchelleThAr.0027.ec 0.9397437' 150407.0026.ec.fits: ap = 1, w1 = 10811.61, w2 = 10583.29, dw = -0.13837, nw = 1651 150407.0026.ec.fits: ap = 2, w1 = 10611.4, w2 = 10387.33, dw = -0.1358, nw = 1651 150407.0026.ec.fits: ap = 3, w1 = 10418.47, w2 = 10198.49, dw = -0.13332, nw = 1651 150407.0026.ec.fits: ap = 4, w1 = 10232.44, w2 = 10016.4, dw = -0.13094, nw = 1651 150407.0026.ec.fits: ap = 5, w1 = 10052.93, w2 = 9840.69, dw = -0.12863, nw = 1651 150407.0026.ec.fits: ap = 6, w1 = 9879.615, w2 = 9671.043, dw = -0.12641, nw = 1651 150407.0026.ec.fits: ap = 7, w1 = 9712.173, w2 = 9507.145, dw = -0.12426, nw = 1651 150407.0026.ec.fits: ap = 8, w1 = 9550.312, w2 = 9348.711, dw = -0.12218, nw = 1651 150407.0026.ec.fits: ap = 9, w1 = 9393.759, w2 = 9195.471, dw = -0.12017, nw = 1651 150407.0026.ec.fits: ap = 10, w1 = 9242.256, w2 = 9047.174, dw = -0.11823, nw = 1651 150407.0026.ec.fits: ap = 11, w1 = 9095.563, w2 = 8903.584, dw = -0.11635, nw = 1651 150407.0026.ec.fits: ap = 12, w1 = 8953.454, w2 = 8764.481, dw = -0.11453, nw = 1651 150407.0026.ec.fits: ap = 13, w1 = 8815.718, w2 = 8629.658, dw = -0.11276, nw = 1651 150407.0026.ec.fits: ap = 14, w1 = 8682.155, w2 = 8498.921, dw = -0.11105, nw = 1651 150407.0026.ec.fits: ap = 15, w1 = 8552.58, w2 = 8372.085, dw = -0.10939, nw = 1651 150407.0026.ec.fits: ap = 16, w1 = 8426.816, w2 = 8248.98, dw = -0.10778, nw = 1651 150407.0026.ec.fits: ap = 17, w1 = 8304.698, w2 = 8129.444, dw = -0.10621, nw = 1651 150407.0026.ec.fits: ap = 18, w1 = 8186.068, w2 = 8013.322, dw = -0.10469, nw = 1651 150407.0026.ec.fits: ap = 19, w1 = 8070.781, w2 = 7900.471, dw = -0.10322, nw = 1651 150407.0026.ec.fits: ap = 20, w1 = 7958.696, w2 = 7790.755, dw = -0.10178, nw = 1651 150407.0026.ec.fits: ap = 21, w1 = 7849.682, w2 = 7684.044, dw = -0.10039, nw = 1651 150407.0026.ec.fits: ap = 22, w1 = 7743.614, w2 = 7580.218, dw = -0.09903, nw = 1651 150407.0026.ec.fits: ap = 23, w1 = 7640.375, w2 = 7479.16, dw = -0.09771, nw = 1651 150407.0026.ec.fits: ap = 24, w1 = 7539.853, w2 = 7380.762, dw = -0.09642, nw = 1651 150407.0026.ec.fits: ap = 25, w1 = 7441.942, w2 = 7284.919, dw = -0.09517, nw = 1651 150407.0026.ec.fits: ap = 26, w1 = 7346.541, w2 = 7191.534, dw = -0.09394, nw = 1651 150407.0026.ec.fits: ap = 27, w1 = 7253.556, w2 = 7100.513, dw = -0.09275, nw = 1651 150407.0026.ec.fits: ap = 28, w1 = 7162.896, w2 = 7011.767, dw = -0.09159, nw = 1651 150407.0026.ec.fits: ap = 29, w1 = 7074.474, w2 = 6925.213, dw = -0.09046, nw = 1651 150407.0026.ec.fits: ap = 30, w1 = 6988.208, w2 = 6840.769, dw = -0.08936, nw = 1651 150407.0026.ec.fits: ap = 31, w1 = 6904.022, w2 = 6758.361, dw = -0.08828, nw = 1651 150407.0026.ec.fits: ap = 32, w1 = 6821.84, w2 = 6677.915, dw = -0.08723, nw = 1651 150407.0026.ec.fits: ap = 33, w1 = 6741.592, w2 = 6599.361, dw = -0.0862, nw = 1651 150407.0026.ec.fits: ap = 34, w1 = 6663.21, w2 = 6522.634, dw = -0.0852, nw = 1651 150407.0026.ec.fits: ap = 35, w1 = 6586.63, w2 = 6447.672, dw = -0.08422, nw = 1651 150407.0026.ec.fits: ap = 36, w1 = 6511.79, w2 = 6374.413, dw = -0.08326, nw = 1651 150407.0026.ec.fits: ap = 37, w1 = 6438.633, w2 = 6302.8, dw = -0.08232, nw = 1651 150407.0026.ec.fits: ap = 38, w1 = 6367.101, w2 = 6232.779, dw = -0.08141, nw = 1651 150407.0026.ec.fits: ap = 39, w1 = 6297.141, w2 = 6164.296, dw = -0.08051, nw = 1651 150407.0026.ec.fits: ap = 40, w1 = 6228.703, w2 = 6097.303, dw = -0.07964, nw = 1651 150407.0026.ec.fits: ap = 41, w1 = 6161.736, w2 = 6031.75, dw = -0.07878, nw = 1651 150407.0026.ec.fits: ap = 42, w1 = 6096.194, w2 = 5967.592, dw = -0.07794, nw = 1651 150407.0026.ec.fits: ap = 43, w1 = 6032.032, w2 = 5904.785, dw = -0.07712, nw = 1651 150407.0026.ec.fits: ap = 44, w1 = 5969.206, w2 = 5843.287, dw = -0.07632, nw = 1651 150407.0026.ec.fits: ap = 45, w1 = 5907.677, w2 = 5783.056, dw = -0.07553, nw = 1651 150407.0026.ec.fits: ap = 46, w1 = 5847.402, w2 = 5724.055, dw = -0.07476, nw = 1651 150407.0026.ec.fits: ap = 47, w1 = 5788.346, w2 = 5666.246, dw = -0.074, nw = 1651 150407.0026.ec.fits: ap = 48, w1 = 5730.471, w2 = 5609.593, dw = -0.07326, nw = 1651 150407.0026.ec.fits: ap = 49, w1 = 5673.742, w2 = 5554.062, dw = -0.07253, nw = 1651 150407.0026.ec.fits: ap = 50, w1 = 5618.125, w2 = 5499.62, dw = -0.07182, nw = 1651 150407.0026.ec.fits: ap = 51, w1 = 5563.588, w2 = 5446.235, dw = -0.07112, nw = 1651 150407.0026.ec.fits: ap = 52, w1 = 5510.1, w2 = 5393.877, dw = -0.07044, nw = 1651 150407.0026.ec.fits: ap = 53, w1 = 5457.631, w2 = 5342.516, dw = -0.06977, nw = 1651 150407.0026.ec.fits: ap = 54, w1 = 5406.152, w2 = 5292.125, dw = -0.06911, nw = 1651 150407.0026.ec.fits: ap = 55, w1 = 5355.635, w2 = 5242.675, dw = -0.06846, nw = 1651 150407.0026.ec.fits: ap = 56, w1 = 5306.054, w2 = 5194.141, dw = -0.06783, nw = 1651 150407.0026.ec.fits: ap = 57, w1 = 5257.383, w2 = 5146.498, dw = -0.0672, nw = 1651 150407.0026.ec.fits: ap = 58, w1 = 5209.597, w2 = 5099.722, dw = -0.06659, nw = 1651 150407.0026.ec.fits: ap = 59, w1 = 5162.671, w2 = 5053.788, dw = -0.06599, nw = 1651 150407.0026.ec.fits: ap = 60, w1 = 5116.584, w2 = 5008.674, dw = -0.0654, nw = 1651 150407.0026.ec.fits: ap = 61, w1 = 5071.313, w2 = 4964.359, dw = -0.06482, nw = 1651 150407.0026.ec.fits: ap = 62, w1 = 5026.835, w2 = 4920.822, dw = -0.06425, nw = 1651 150407.0026.ec.fits: ap = 63, w1 = 4983.132, w2 = 4878.041, dw = -0.06369, nw = 1651 150407.0026.ec.fits: ap = 64, w1 = 4940.182, w2 = 4835.999, dw = -0.06314, nw = 1651 150407.0026.ec.fits: ap = 65, w1 = 4897.966, w2 = 4794.675, dw = -0.0626, nw = 1651 150407.0026.ec.fits: ap = 66, w1 = 4856.466, w2 = 4754.052, dw = -0.06207, nw = 1651 150407.0026.ec.fits: ap = 67, w1 = 4815.663, w2 = 4714.111, dw = -0.06155, nw = 1651 150407.0026.ec.fits: ap = 68, w1 = 4775.541, w2 = 4674.837, dw = -0.06103, nw = 1651 150407.0026.ec.fits: ap = 69, w1 = 4736.082, w2 = 4636.211, dw = -0.06053, nw = 1651 150407.0026.ec.fits: ap = 70, w1 = 4697.27, w2 = 4598.219, dw = -0.06003, nw = 1651 150407.0026.ec.fits: ap = 71, w1 = 4659.089, w2 = 4560.844, dw = -0.05954, nw = 1651 150407.0026.ec.fits: ap = 72, w1 = 4621.524, w2 = 4524.073, dw = -0.05906, nw = 1651 150407.0026.ec.fits: ap = 73, w1 = 4584.56, w2 = 4487.89, dw = -0.05859, nw = 1651 150407.0026.ec.fits: ap = 74, w1 = 4548.182, w2 = 4452.281, dw = -0.05812, nw = 1651 150407.0026.ec.fits: ap = 75, w1 = 4512.378, w2 = 4417.233, dw = -0.05766, nw = 1651 150407.0026.ec.fits: ap = 76, w1 = 4477.134, w2 = 4382.733, dw = -0.05721, nw = 1651 150407.0026.ec.fits: ap = 77, w1 = 4442.436, w2 = 4348.767, dw = -0.05677, nw = 1651 150407.0026.ec.fits: ap = 78, w1 = 4408.271, w2 = 4315.324, dw = -0.05633, nw = 1651 150407.0026.ec.fits: ap = 79, w1 = 4374.629, w2 = 4282.392, dw = -0.0559, nw = 1651 150407.0026.ec.fits: ap = 80, w1 = 4341.496, w2 = 4249.959, dw = -0.05548, nw = 1651 150407.0026.ec.fits: ap = 81, w1 = 4308.862, w2 = 4218.013, dw = -0.05506, nw = 1651 150407.0026.ec.fits: ap = 82, w1 = 4276.715, w2 = 4186.545, dw = -0.05465, nw = 1651 150407.0026.ec.fits: ap = 83, w1 = 4245.044, w2 = 4155.542, dw = -0.05424, nw = 1651 150407.0026.ec.fits: ap = 84, w1 = 4213.84, w2 = 4124.996, dw = -0.05384, nw = 1651 150407.0026.ec.fits: ap = 85, w1 = 4183.09, w2 = 4094.895, dw = -0.05345, nw = 1651 150407.0026.ec.fits: ap = 86, w1 = 4152.787, w2 = 4065.231, dw = -0.05306, nw = 1651 150407.0026.ec.fits: ap = 87, w1 = 4122.92, w2 = 4035.993, dw = -0.05268, nw = 1651 150407.0026.ec.fits: ap = 88, w1 = 4093.479, w2 = 4007.173, dw = -0.05231, nw = 1651 150407.0026.ec.fits: ap = 89, w1 = 4064.457, w2 = 3978.762, dw = -0.05194, nw = 1651 150407.0026.ec.fits: ap = 90, w1 = 4035.843, w2 = 3950.751, dw = -0.05157, nw = 1651 150407.0026.ec.fits: ap = 91, w1 = 4007.63, w2 = 3923.132, dw = -0.05121, nw = 1651 150407.0026.ec.fits: ap = 92, w1 = 3979.808, w2 = 3895.896, dw = -0.05086, nw = 1651 150407.0026.ec.fits: ap = 93, w1 = 3952.371, w2 = 3869.036, dw = -0.05051, nw = 1651 150407.0026.ec.fits: ap = 94, w1 = 3925.309, w2 = 3842.543, dw = -0.05016, nw = 1651 150407.0026.ec.fits: ap = 95, w1 = 3898.616, w2 = 3816.412, dw = -0.04982, nw = 1651 150407.0026.ec.fits: ap = 96, w1 = 3872.284, w2 = 3790.633, dw = -0.04949, nw = 1651 150407.0026.ec.fits: ap = 97, w1 = 3846.305, w2 = 3765.2, dw = -0.04915, nw = 1651 150407.0026.ec.fits: ap = 98, w1 = 3820.673, w2 = 3740.106, dw = -0.04883, nw = 1651 150407.0026.ec.fits: ap = 99, w1 = 3795.381, w2 = 3715.344, dw = -0.04851, nw = 1651 150407.0026.ec.fits: ap = 100, w1 = 3770.421, w2 = 3690.908, dw = -0.04819, nw = 1651 150407.0026.ec.fits: ap = 101, w1 = 3745.788, w2 = 3666.792, dw = -0.04788, nw = 1651 150407.0026.ec.fits: ap = 102, w1 = 3721.476, w2 = 3642.988, dw = -0.04757, nw = 1651 150407.0026.ec.fits: ap = 103, w1 = 3697.477, w2 = 3619.492, dw = -0.04726, nw = 1651 150407.0026.ec.fits: ap = 104, w1 = 3673.786, w2 = 3596.297, dw = -0.04696, nw = 1651 150407.0026.ec.fits: ap = 105, w1 = 3650.397, w2 = 3573.396, dw = -0.04667, nw = 1651 150407.0026.ec.fits: ap = 106, w1 = 3627.304, w2 = 3550.786, dw = -0.04637, nw = 1651 150407.0026.ec.fits: ap = 107, w1 = 3604.502, w2 = 3528.46, dw = -0.04609, nw = 1651 150407.0026.ec.fits: ap = 108, w1 = 3581.985, w2 = 3506.413, dw = -0.0458, nw = 1651 150407.0026.ec.fits: ap = 109, w1 = 3559.748, w2 = 3484.64, dw = -0.04552, nw = 1651 150407.0026.ec.fits: ap = 110, w1 = 3537.786, w2 = 3463.135, dw = -0.04524, nw = 1651 150407.0026.ec.fits: ap = 111, w1 = 3516.093, w2 = 3441.894, dw = -0.04497, nw = 1651 150407.0026.ec.fits: ap = 112, w1 = 3494.665, w2 = 3420.912, dw = -0.0447, nw = 1651 150407.0026.ec.fits: ap = 113, w1 = 3473.498, w2 = 3400.183, dw = -0.04443, nw = 1651 150407.0026.ec.fits: ap = 114, w1 = 3452.585, w2 = 3379.705, dw = -0.04417, nw = 1651 150407.0026.ec.fits: ap = 115, w1 = 3431.923, w2 = 3359.471, dw = -0.04391, nw = 1651 150407.0028.ec.fits: REFSPEC1 = 'EchelleThAr.0027.ec 0.95914638' 150407.0028.ec.fits: REFSPEC2 = 'EchelleThAr.0034.ec 0.04085362' 150407.0028.ec.fits: ap = 1, w1 = 10811.6, w2 = 10583.29, dw = -0.13837, nw = 1651 150407.0028.ec.fits: ap = 2, w1 = 10611.4, w2 = 10387.33, dw = -0.1358, nw = 1651 150407.0028.ec.fits: ap = 3, w1 = 10418.47, w2 = 10198.49, dw = -0.13332, nw = 1651 150407.0028.ec.fits: ap = 4, w1 = 10232.44, w2 = 10016.4, dw = -0.13093, nw = 1651 150407.0028.ec.fits: ap = 5, w1 = 10052.93, w2 = 9840.69, dw = -0.12863, nw = 1651 150407.0028.ec.fits: ap = 6, w1 = 9879.613, w2 = 9671.043, dw = -0.12641, nw = 1651 150407.0028.ec.fits: ap = 7, w1 = 9712.172, w2 = 9507.145, dw = -0.12426, nw = 1651 150407.0028.ec.fits: ap = 8, w1 = 9550.311, w2 = 9348.711, dw = -0.12218, nw = 1651 150407.0028.ec.fits: ap = 9, w1 = 9393.758, w2 = 9195.471, dw = -0.12017, nw = 1651 150407.0028.ec.fits: ap = 10, w1 = 9242.256, w2 = 9047.173, dw = -0.11823, nw = 1651 150407.0028.ec.fits: ap = 11, w1 = 9095.563, w2 = 8903.584, dw = -0.11635, nw = 1651 150407.0028.ec.fits: ap = 12, w1 = 8953.454, w2 = 8764.481, dw = -0.11453, nw = 1651 150407.0028.ec.fits: ap = 13, w1 = 8815.718, w2 = 8629.658, dw = -0.11276, nw = 1651 150407.0028.ec.fits: ap = 14, w1 = 8682.156, w2 = 8498.92, dw = -0.11105, nw = 1651 150407.0028.ec.fits: ap = 15, w1 = 8552.581, w2 = 8372.085, dw = -0.10939, nw = 1651 150407.0028.ec.fits: ap = 16, w1 = 8426.817, w2 = 8248.98, dw = -0.10778, nw = 1651 150407.0028.ec.fits: ap = 17, w1 = 8304.698, w2 = 8129.443, dw = -0.10622, nw = 1651 150407.0028.ec.fits: ap = 18, w1 = 8186.069, w2 = 8013.321, dw = -0.1047, nw = 1651 150407.0028.ec.fits: ap = 19, w1 = 8070.781, w2 = 7900.47, dw = -0.10322, nw = 1651 150407.0028.ec.fits: ap = 20, w1 = 7958.696, w2 = 7790.754, dw = -0.10178, nw = 1651 150407.0028.ec.fits: ap = 21, w1 = 7849.682, w2 = 7684.043, dw = -0.10039, nw = 1651 150407.0028.ec.fits: ap = 22, w1 = 7743.614, w2 = 7580.217, dw = -0.09903, nw = 1651 150407.0028.ec.fits: ap = 23, w1 = 7640.375, w2 = 7479.159, dw = -0.09771, nw = 1651 150407.0028.ec.fits: ap = 24, w1 = 7539.852, w2 = 7380.76, dw = -0.09642, nw = 1651 150407.0028.ec.fits: ap = 25, w1 = 7441.941, w2 = 7284.918, dw = -0.09517, nw = 1651 150407.0028.ec.fits: ap = 26, w1 = 7346.54, w2 = 7191.532, dw = -0.09394, nw = 1651 150407.0028.ec.fits: ap = 27, w1 = 7253.556, w2 = 7100.512, dw = -0.09275, nw = 1651 150407.0028.ec.fits: ap = 28, w1 = 7162.895, w2 = 7011.767, dw = -0.09159, nw = 1651 150407.0028.ec.fits: ap = 29, w1 = 7074.473, w2 = 6925.212, dw = -0.09046, nw = 1651 150407.0028.ec.fits: ap = 30, w1 = 6988.208, w2 = 6840.769, dw = -0.08936, nw = 1651 150407.0028.ec.fits: ap = 31, w1 = 6904.022, w2 = 6758.361, dw = -0.08828, nw = 1651 150407.0028.ec.fits: ap = 32, w1 = 6821.84, w2 = 6677.914, dw = -0.08723, nw = 1651 150407.0028.ec.fits: ap = 33, w1 = 6741.591, w2 = 6599.361, dw = -0.0862, nw = 1651 150407.0028.ec.fits: ap = 34, w1 = 6663.209, w2 = 6522.634, dw = -0.0852, nw = 1651 150407.0028.ec.fits: ap = 35, w1 = 6586.629, w2 = 6447.672, dw = -0.08422, nw = 1651 150407.0028.ec.fits: ap = 36, w1 = 6511.79, w2 = 6374.413, dw = -0.08326, nw = 1651 150407.0028.ec.fits: ap = 37, w1 = 6438.632, w2 = 6302.8, dw = -0.08232, nw = 1651 150407.0028.ec.fits: ap = 38, w1 = 6367.1, w2 = 6232.779, dw = -0.08141, nw = 1651 150407.0028.ec.fits: ap = 39, w1 = 6297.141, w2 = 6164.296, dw = -0.08051, nw = 1651 150407.0028.ec.fits: ap = 40, w1 = 6228.702, w2 = 6097.303, dw = -0.07964, nw = 1651 150407.0028.ec.fits: ap = 41, w1 = 6161.735, w2 = 6031.75, dw = -0.07878, nw = 1651 150407.0028.ec.fits: ap = 42, w1 = 6096.193, w2 = 5967.592, dw = -0.07794, nw = 1651 150407.0028.ec.fits: ap = 43, w1 = 6032.031, w2 = 5904.785, dw = -0.07712, nw = 1651 150407.0028.ec.fits: ap = 44, w1 = 5969.206, w2 = 5843.287, dw = -0.07631, nw = 1651 150407.0028.ec.fits: ap = 45, w1 = 5907.676, w2 = 5783.056, dw = -0.07553, nw = 1651 150407.0028.ec.fits: ap = 46, w1 = 5847.402, w2 = 5724.055, dw = -0.07476, nw = 1651 150407.0028.ec.fits: ap = 47, w1 = 5788.345, w2 = 5666.246, dw = -0.074, nw = 1651 150407.0028.ec.fits: ap = 48, w1 = 5730.47, w2 = 5609.593, dw = -0.07326, nw = 1651 150407.0028.ec.fits: ap = 49, w1 = 5673.741, w2 = 5554.062, dw = -0.07253, nw = 1651 150407.0028.ec.fits: ap = 50, w1 = 5618.124, w2 = 5499.62, dw = -0.07182, nw = 1651 150407.0028.ec.fits: ap = 51, w1 = 5563.588, w2 = 5446.235, dw = -0.07112, nw = 1651 150407.0028.ec.fits: ap = 52, w1 = 5510.1, w2 = 5393.877, dw = -0.07044, nw = 1651 150407.0028.ec.fits: ap = 53, w1 = 5457.631, w2 = 5342.517, dw = -0.06977, nw = 1651 150407.0028.ec.fits: ap = 54, w1 = 5406.152, w2 = 5292.125, dw = -0.06911, nw = 1651 150407.0028.ec.fits: ap = 55, w1 = 5355.635, w2 = 5242.675, dw = -0.06846, nw = 1651 150407.0028.ec.fits: ap = 56, w1 = 5306.054, w2 = 5194.142, dw = -0.06783, nw = 1651 150407.0028.ec.fits: ap = 57, w1 = 5257.383, w2 = 5146.499, dw = -0.0672, nw = 1651 150407.0028.ec.fits: ap = 58, w1 = 5209.597, w2 = 5099.722, dw = -0.06659, nw = 1651 150407.0028.ec.fits: ap = 59, w1 = 5162.671, w2 = 5053.788, dw = -0.06599, nw = 1651 150407.0028.ec.fits: ap = 60, w1 = 5116.584, w2 = 5008.674, dw = -0.0654, nw = 1651 150407.0028.ec.fits: ap = 61, w1 = 5071.313, w2 = 4964.359, dw = -0.06482, nw = 1651 150407.0028.ec.fits: ap = 62, w1 = 5026.836, w2 = 4920.822, dw = -0.06425, nw = 1651 150407.0028.ec.fits: ap = 63, w1 = 4983.132, w2 = 4878.041, dw = -0.06369, nw = 1651 150407.0028.ec.fits: ap = 64, w1 = 4940.182, w2 = 4835.999, dw = -0.06314, nw = 1651 150407.0028.ec.fits: ap = 65, w1 = 4897.966, w2 = 4794.675, dw = -0.0626, nw = 1651 150407.0028.ec.fits: ap = 66, w1 = 4856.466, w2 = 4754.052, dw = -0.06207, nw = 1651 150407.0028.ec.fits: ap = 67, w1 = 4815.664, w2 = 4714.111, dw = -0.06155, nw = 1651 150407.0028.ec.fits: ap = 68, w1 = 4775.541, w2 = 4674.836, dw = -0.06103, nw = 1651 150407.0028.ec.fits: ap = 69, w1 = 4736.082, w2 = 4636.211, dw = -0.06053, nw = 1651 150407.0028.ec.fits: ap = 70, w1 = 4697.27, w2 = 4598.218, dw = -0.06003, nw = 1651 150407.0028.ec.fits: ap = 71, w1 = 4659.088, w2 = 4560.843, dw = -0.05954, nw = 1651 150407.0028.ec.fits: ap = 72, w1 = 4621.523, w2 = 4524.071, dw = -0.05906, nw = 1651 150407.0028.ec.fits: ap = 73, w1 = 4584.559, w2 = 4487.888, dw = -0.05859, nw = 1651 150407.0028.ec.fits: ap = 74, w1 = 4548.182, w2 = 4452.279, dw = -0.05812, nw = 1651 150407.0028.ec.fits: ap = 75, w1 = 4512.378, w2 = 4417.232, dw = -0.05766, nw = 1651 150407.0028.ec.fits: ap = 76, w1 = 4477.133, w2 = 4382.731, dw = -0.05721, nw = 1651 150407.0028.ec.fits: ap = 77, w1 = 4442.435, w2 = 4348.766, dw = -0.05677, nw = 1651 150407.0028.ec.fits: ap = 78, w1 = 4408.271, w2 = 4315.323, dw = -0.05633, nw = 1651 150407.0028.ec.fits: ap = 79, w1 = 4374.628, w2 = 4282.391, dw = -0.0559, nw = 1651 150407.0028.ec.fits: ap = 80, w1 = 4341.496, w2 = 4249.958, dw = -0.05548, nw = 1651 150407.0028.ec.fits: ap = 81, w1 = 4308.861, w2 = 4218.012, dw = -0.05506, nw = 1651 150407.0028.ec.fits: ap = 82, w1 = 4276.714, w2 = 4186.544, dw = -0.05465, nw = 1651 150407.0028.ec.fits: ap = 83, w1 = 4245.043, w2 = 4155.541, dw = -0.05424, nw = 1651 150407.0028.ec.fits: ap = 84, w1 = 4213.838, w2 = 4124.995, dw = -0.05384, nw = 1651 150407.0028.ec.fits: ap = 85, w1 = 4183.089, w2 = 4094.894, dw = -0.05345, nw = 1651 150407.0028.ec.fits: ap = 86, w1 = 4152.786, w2 = 4065.23, dw = -0.05306, nw = 1651 150407.0028.ec.fits: ap = 87, w1 = 4122.917, w2 = 4035.991, dw = -0.05268, nw = 1651 150407.0028.ec.fits: ap = 88, w1 = 4093.476, w2 = 4007.171, dw = -0.05231, nw = 1651 150407.0028.ec.fits: ap = 89, w1 = 4064.453, w2 = 3978.76, dw = -0.05194, nw = 1651 150407.0028.ec.fits: ap = 90, w1 = 4035.839, w2 = 3950.749, dw = -0.05157, nw = 1651 150407.0028.ec.fits: ap = 91, w1 = 4007.625, w2 = 3923.129, dw = -0.05121, nw = 1651 150407.0028.ec.fits: ap = 92, w1 = 3979.804, w2 = 3895.893, dw = -0.05085, nw = 1651 150407.0028.ec.fits: ap = 93, w1 = 3952.366, w2 = 3869.033, dw = -0.0505, nw = 1651 150407.0028.ec.fits: ap = 94, w1 = 3925.304, w2 = 3842.541, dw = -0.05016, nw = 1651 150407.0028.ec.fits: ap = 95, w1 = 3898.61, w2 = 3816.409, dw = -0.04982, nw = 1651 150407.0028.ec.fits: ap = 96, w1 = 3872.277, w2 = 3790.63, dw = -0.04948, nw = 1651 150407.0028.ec.fits: ap = 97, w1 = 3846.298, w2 = 3765.197, dw = -0.04915, nw = 1651 150407.0028.ec.fits: ap = 98, w1 = 3820.665, w2 = 3740.103, dw = -0.04883, nw = 1651 150407.0028.ec.fits: ap = 99, w1 = 3795.372, w2 = 3715.341, dw = -0.0485, nw = 1651 150407.0028.ec.fits: ap = 100, w1 = 3770.412, w2 = 3690.905, dw = -0.04819, nw = 1651 150407.0028.ec.fits: ap = 101, w1 = 3745.778, w2 = 3666.789, dw = -0.04787, nw = 1651 150407.0028.ec.fits: ap = 102, w1 = 3721.464, w2 = 3642.985, dw = -0.04756, nw = 1651 150407.0028.ec.fits: ap = 103, w1 = 3697.464, w2 = 3619.488, dw = -0.04726, nw = 1651 150407.0028.ec.fits: ap = 104, w1 = 3673.772, w2 = 3596.293, dw = -0.04696, nw = 1651 150407.0028.ec.fits: ap = 105, w1 = 3650.382, w2 = 3573.393, dw = -0.04666, nw = 1651 150407.0028.ec.fits: ap = 106, w1 = 3627.289, w2 = 3550.782, dw = -0.04637, nw = 1651 150407.0028.ec.fits: ap = 107, w1 = 3604.485, w2 = 3528.456, dw = -0.04608, nw = 1651 150407.0028.ec.fits: ap = 108, w1 = 3581.967, w2 = 3506.409, dw = -0.04579, nw = 1651 150407.0028.ec.fits: ap = 109, w1 = 3559.729, w2 = 3484.636, dw = -0.04551, nw = 1651 150407.0028.ec.fits: ap = 110, w1 = 3537.766, w2 = 3463.131, dw = -0.04523, nw = 1651 150407.0028.ec.fits: ap = 111, w1 = 3516.072, w2 = 3441.89, dw = -0.04496, nw = 1651 150407.0028.ec.fits: ap = 112, w1 = 3494.643, w2 = 3420.907, dw = -0.04469, nw = 1651 150407.0028.ec.fits: ap = 113, w1 = 3473.474, w2 = 3400.179, dw = -0.04442, nw = 1651 150407.0028.ec.fits: ap = 114, w1 = 3452.56, w2 = 3379.7, dw = -0.04416, nw = 1651 150407.0028.ec.fits: ap = 115, w1 = 3431.897, w2 = 3359.467, dw = -0.0439, nw = 1651 150407.0029.ec.fits: REFSPEC1 = 'EchelleThAr.0027.ec 0.80223787' 150407.0029.ec.fits: REFSPEC2 = 'EchelleThAr.0034.ec 0.19776215' 150407.0029.ec.fits: ap = 1, w1 = 10811.58, w2 = 10583.3, dw = -0.13835, nw = 1651 150407.0029.ec.fits: ap = 2, w1 = 10611.38, w2 = 10387.33, dw = -0.13578, nw = 1651 150407.0029.ec.fits: ap = 3, w1 = 10418.45, w2 = 10198.49, dw = -0.13331, nw = 1651 150407.0029.ec.fits: ap = 4, w1 = 10232.42, w2 = 10016.4, dw = -0.13092, nw = 1651 150407.0029.ec.fits: ap = 5, w1 = 10052.92, w2 = 9840.692, dw = -0.12862, nw = 1651 150407.0029.ec.fits: ap = 6, w1 = 9879.602, w2 = 9671.043, dw = -0.1264, nw = 1651 150407.0029.ec.fits: ap = 7, w1 = 9712.162, w2 = 9507.146, dw = -0.12425, nw = 1651 150407.0029.ec.fits: ap = 8, w1 = 9550.304, w2 = 9348.711, dw = -0.12218, nw = 1651 150407.0029.ec.fits: ap = 9, w1 = 9393.752, w2 = 9195.47, dw = -0.12017, nw = 1651 150407.0029.ec.fits: ap = 10, w1 = 9242.251, w2 = 9047.173, dw = -0.11823, nw = 1651 150407.0029.ec.fits: ap = 11, w1 = 9095.559, w2 = 8903.583, dw = -0.11635, nw = 1651 150407.0029.ec.fits: ap = 12, w1 = 8953.451, w2 = 8764.48, dw = -0.11453, nw = 1651 150407.0029.ec.fits: ap = 13, w1 = 8815.716, w2 = 8629.657, dw = -0.11276, nw = 1651 150407.0029.ec.fits: ap = 14, w1 = 8682.154, w2 = 8498.919, dw = -0.11105, nw = 1651 150407.0029.ec.fits: ap = 15, w1 = 8552.58, w2 = 8372.084, dw = -0.10939, nw = 1651 150407.0029.ec.fits: ap = 16, w1 = 8426.816, w2 = 8248.978, dw = -0.10778, nw = 1651 150407.0029.ec.fits: ap = 17, w1 = 8304.698, w2 = 8129.441, dw = -0.10622, nw = 1651 150407.0029.ec.fits: ap = 18, w1 = 8186.068, w2 = 8013.319, dw = -0.1047, nw = 1651 150407.0029.ec.fits: ap = 19, w1 = 8070.781, w2 = 7900.468, dw = -0.10322, nw = 1651 150407.0029.ec.fits: ap = 20, w1 = 7958.696, w2 = 7790.752, dw = -0.10178, nw = 1651 150407.0029.ec.fits: ap = 21, w1 = 7849.682, w2 = 7684.042, dw = -0.10039, nw = 1651 150407.0029.ec.fits: ap = 22, w1 = 7743.614, w2 = 7580.215, dw = -0.09903, nw = 1651 150407.0029.ec.fits: ap = 23, w1 = 7640.375, w2 = 7479.157, dw = -0.09771, nw = 1651 150407.0029.ec.fits: ap = 24, w1 = 7539.852, w2 = 7380.759, dw = -0.09642, nw = 1651 150407.0029.ec.fits: ap = 25, w1 = 7441.941, w2 = 7284.916, dw = -0.09517, nw = 1651 150407.0029.ec.fits: ap = 26, w1 = 7346.54, w2 = 7191.531, dw = -0.09395, nw = 1651 150407.0029.ec.fits: ap = 27, w1 = 7253.556, w2 = 7100.511, dw = -0.09275, nw = 1651 150407.0029.ec.fits: ap = 28, w1 = 7162.895, w2 = 7011.765, dw = -0.09159, nw = 1651 150407.0029.ec.fits: ap = 29, w1 = 7074.473, w2 = 6925.211, dw = -0.09046, nw = 1651 150407.0029.ec.fits: ap = 30, w1 = 6988.208, w2 = 6840.768, dw = -0.08936, nw = 1651 150407.0029.ec.fits: ap = 31, w1 = 6904.021, w2 = 6758.36, dw = -0.08828, nw = 1651 150407.0029.ec.fits: ap = 32, w1 = 6821.839, w2 = 6677.913, dw = -0.08723, nw = 1651 150407.0029.ec.fits: ap = 33, w1 = 6741.59, w2 = 6599.36, dw = -0.0862, nw = 1651 150407.0029.ec.fits: ap = 34, w1 = 6663.208, w2 = 6522.634, dw = -0.0852, nw = 1651 150407.0029.ec.fits: ap = 35, w1 = 6586.628, w2 = 6447.671, dw = -0.08422, nw = 1651 150407.0029.ec.fits: ap = 36, w1 = 6511.789, w2 = 6374.412, dw = -0.08326, nw = 1651 150407.0029.ec.fits: ap = 37, w1 = 6438.631, w2 = 6302.799, dw = -0.08232, nw = 1651 150407.0029.ec.fits: ap = 38, w1 = 6367.099, w2 = 6232.778, dw = -0.08141, nw = 1651 150407.0029.ec.fits: ap = 39, w1 = 6297.139, w2 = 6164.296, dw = -0.08051, nw = 1651 150407.0029.ec.fits: ap = 40, w1 = 6228.701, w2 = 6097.303, dw = -0.07964, nw = 1651 150407.0029.ec.fits: ap = 41, w1 = 6161.734, w2 = 6031.75, dw = -0.07878, nw = 1651 150407.0029.ec.fits: ap = 42, w1 = 6096.192, w2 = 5967.592, dw = -0.07794, nw = 1651 150407.0029.ec.fits: ap = 43, w1 = 6032.03, w2 = 5904.785, dw = -0.07712, nw = 1651 150407.0029.ec.fits: ap = 44, w1 = 5969.204, w2 = 5843.287, dw = -0.07631, nw = 1651 150407.0029.ec.fits: ap = 45, w1 = 5907.674, w2 = 5783.056, dw = -0.07553, nw = 1651 150407.0029.ec.fits: ap = 46, w1 = 5847.4, w2 = 5724.055, dw = -0.07475, nw = 1651 150407.0029.ec.fits: ap = 47, w1 = 5788.344, w2 = 5666.246, dw = -0.074, nw = 1651 150407.0029.ec.fits: ap = 48, w1 = 5730.469, w2 = 5609.593, dw = -0.07326, nw = 1651 150407.0029.ec.fits: ap = 49, w1 = 5673.74, w2 = 5554.063, dw = -0.07253, nw = 1651 150407.0029.ec.fits: ap = 50, w1 = 5618.123, w2 = 5499.621, dw = -0.07182, nw = 1651 150407.0029.ec.fits: ap = 51, w1 = 5563.587, w2 = 5446.236, dw = -0.07112, nw = 1651 150407.0029.ec.fits: ap = 52, w1 = 5510.099, w2 = 5393.878, dw = -0.07044, nw = 1651 150407.0029.ec.fits: ap = 53, w1 = 5457.63, w2 = 5342.517, dw = -0.06977, nw = 1651 150407.0029.ec.fits: ap = 54, w1 = 5406.151, w2 = 5292.125, dw = -0.06911, nw = 1651 150407.0029.ec.fits: ap = 55, w1 = 5355.635, w2 = 5242.676, dw = -0.06846, nw = 1651 150407.0029.ec.fits: ap = 56, w1 = 5306.054, w2 = 5194.142, dw = -0.06783, nw = 1651 150407.0029.ec.fits: ap = 57, w1 = 5257.383, w2 = 5146.499, dw = -0.0672, nw = 1651 150407.0029.ec.fits: ap = 58, w1 = 5209.596, w2 = 5099.722, dw = -0.06659, nw = 1651 150407.0029.ec.fits: ap = 59, w1 = 5162.671, w2 = 5053.788, dw = -0.06599, nw = 1651 150407.0029.ec.fits: ap = 60, w1 = 5116.584, w2 = 5008.675, dw = -0.0654, nw = 1651 150407.0029.ec.fits: ap = 61, w1 = 5071.313, w2 = 4964.36, dw = -0.06482, nw = 1651 150407.0029.ec.fits: ap = 62, w1 = 5026.836, w2 = 4920.822, dw = -0.06425, nw = 1651 150407.0029.ec.fits: ap = 63, w1 = 4983.133, w2 = 4878.042, dw = -0.06369, nw = 1651 150407.0029.ec.fits: ap = 64, w1 = 4940.183, w2 = 4835.999, dw = -0.06314, nw = 1651 150407.0029.ec.fits: ap = 65, w1 = 4897.967, w2 = 4794.675, dw = -0.0626, nw = 1651 150407.0029.ec.fits: ap = 66, w1 = 4856.467, w2 = 4754.052, dw = -0.06207, nw = 1651 150407.0029.ec.fits: ap = 67, w1 = 4815.665, w2 = 4714.111, dw = -0.06155, nw = 1651 150407.0029.ec.fits: ap = 68, w1 = 4775.542, w2 = 4674.837, dw = -0.06103, nw = 1651 150407.0029.ec.fits: ap = 69, w1 = 4736.083, w2 = 4636.211, dw = -0.06053, nw = 1651 150407.0029.ec.fits: ap = 70, w1 = 4697.271, w2 = 4598.219, dw = -0.06003, nw = 1651 150407.0029.ec.fits: ap = 71, w1 = 4659.089, w2 = 4560.843, dw = -0.05954, nw = 1651 150407.0029.ec.fits: ap = 72, w1 = 4621.524, w2 = 4524.072, dw = -0.05906, nw = 1651 150407.0029.ec.fits: ap = 73, w1 = 4584.56, w2 = 4487.888, dw = -0.05859, nw = 1651 150407.0029.ec.fits: ap = 74, w1 = 4548.183, w2 = 4452.279, dw = -0.05812, nw = 1651 150407.0029.ec.fits: ap = 75, w1 = 4512.378, w2 = 4417.231, dw = -0.05766, nw = 1651 150407.0029.ec.fits: ap = 76, w1 = 4477.133, w2 = 4382.731, dw = -0.05721, nw = 1651 150407.0029.ec.fits: ap = 77, w1 = 4442.435, w2 = 4348.766, dw = -0.05677, nw = 1651 150407.0029.ec.fits: ap = 78, w1 = 4408.27, w2 = 4315.323, dw = -0.05633, nw = 1651 150407.0029.ec.fits: ap = 79, w1 = 4374.628, w2 = 4282.39, dw = -0.0559, nw = 1651 150407.0029.ec.fits: ap = 80, w1 = 4341.494, w2 = 4249.957, dw = -0.05548, nw = 1651 150407.0029.ec.fits: ap = 81, w1 = 4308.86, w2 = 4218.012, dw = -0.05506, nw = 1651 150407.0029.ec.fits: ap = 82, w1 = 4276.712, w2 = 4186.543, dw = -0.05465, nw = 1651 150407.0029.ec.fits: ap = 83, w1 = 4245.04, w2 = 4155.54, dw = -0.05424, nw = 1651 150407.0029.ec.fits: ap = 84, w1 = 4213.835, w2 = 4124.994, dw = -0.05384, nw = 1651 150407.0029.ec.fits: ap = 85, w1 = 4183.085, w2 = 4094.893, dw = -0.05345, nw = 1651 150407.0029.ec.fits: ap = 86, w1 = 4152.78, w2 = 4065.228, dw = -0.05306, nw = 1651 150407.0029.ec.fits: ap = 87, w1 = 4122.911, w2 = 4035.99, dw = -0.05268, nw = 1651 150407.0029.ec.fits: ap = 88, w1 = 4093.469, w2 = 4007.17, dw = -0.0523, nw = 1651 150407.0029.ec.fits: ap = 89, w1 = 4064.445, w2 = 3978.759, dw = -0.05193, nw = 1651 150407.0029.ec.fits: ap = 90, w1 = 4035.83, w2 = 3950.747, dw = -0.05157, nw = 1651 150407.0029.ec.fits: ap = 91, w1 = 4007.615, w2 = 3923.128, dw = -0.0512, nw = 1651 150407.0029.ec.fits: ap = 92, w1 = 3979.792, w2 = 3895.892, dw = -0.05085, nw = 1651 150407.0029.ec.fits: ap = 93, w1 = 3952.352, w2 = 3869.031, dw = -0.0505, nw = 1651 150407.0029.ec.fits: ap = 94, w1 = 3925.289, w2 = 3842.539, dw = -0.05015, nw = 1651 150407.0029.ec.fits: ap = 95, w1 = 3898.593, w2 = 3816.407, dw = -0.04981, nw = 1651 150407.0029.ec.fits: ap = 96, w1 = 3872.259, w2 = 3790.628, dw = -0.04947, nw = 1651 150407.0029.ec.fits: ap = 97, w1 = 3846.278, w2 = 3765.195, dw = -0.04914, nw = 1651 150407.0029.ec.fits: ap = 98, w1 = 3820.643, w2 = 3740.101, dw = -0.04881, nw = 1651 150407.0029.ec.fits: ap = 99, w1 = 3795.348, w2 = 3715.339, dw = -0.04849, nw = 1651 150407.0029.ec.fits: ap = 100, w1 = 3770.385, w2 = 3690.903, dw = -0.04817, nw = 1651 150407.0029.ec.fits: ap = 101, w1 = 3745.749, w2 = 3666.786, dw = -0.04786, nw = 1651 150407.0029.ec.fits: ap = 102, w1 = 3721.433, w2 = 3642.983, dw = -0.04755, nw = 1651 150407.0029.ec.fits: ap = 103, w1 = 3697.43, w2 = 3619.486, dw = -0.04724, nw = 1651 150407.0029.ec.fits: ap = 104, w1 = 3673.736, w2 = 3596.29, dw = -0.04694, nw = 1651 150407.0029.ec.fits: ap = 105, w1 = 3650.343, w2 = 3573.39, dw = -0.04664, nw = 1651 150407.0029.ec.fits: ap = 106, w1 = 3627.246, w2 = 3550.78, dw = -0.04634, nw = 1651 150407.0029.ec.fits: ap = 107, w1 = 3604.439, w2 = 3528.454, dw = -0.04605, nw = 1651 150407.0029.ec.fits: ap = 108, w1 = 3581.918, w2 = 3506.407, dw = -0.04576, nw = 1651 150407.0029.ec.fits: ap = 109, w1 = 3559.676, w2 = 3484.633, dw = -0.04548, nw = 1651 150407.0029.ec.fits: ap = 110, w1 = 3537.709, w2 = 3463.128, dw = -0.0452, nw = 1651 150407.0029.ec.fits: ap = 111, w1 = 3516.012, w2 = 3441.887, dw = -0.04492, nw = 1651 150407.0029.ec.fits: ap = 112, w1 = 3494.579, w2 = 3420.905, dw = -0.04465, nw = 1651 150407.0029.ec.fits: ap = 113, w1 = 3473.405, w2 = 3400.176, dw = -0.04438, nw = 1651 150407.0029.ec.fits: ap = 114, w1 = 3452.487, w2 = 3379.698, dw = -0.04411, nw = 1651 150407.0029.ec.fits: ap = 115, w1 = 3431.819, w2 = 3359.464, dw = -0.04385, nw = 1651 150407.0030.ec.fits: REFSPEC1 = 'EchelleThAr.0027.ec 0.51201671' 150407.0030.ec.fits: REFSPEC2 = 'EchelleThAr.0034.ec 0.48798329' 150407.0030.ec.fits: ap = 1, w1 = 10811.53, w2 = 10583.3, dw = -0.13832, nw = 1651 150407.0030.ec.fits: ap = 2, w1 = 10611.33, w2 = 10387.34, dw = -0.13576, nw = 1651 150407.0030.ec.fits: ap = 3, w1 = 10418.42, w2 = 10198.5, dw = -0.13329, nw = 1651 150407.0030.ec.fits: ap = 4, w1 = 10232.39, w2 = 10016.4, dw = -0.1309, nw = 1651 150407.0030.ec.fits: ap = 5, w1 = 10052.89, w2 = 9840.694, dw = -0.1286, nw = 1651 150407.0030.ec.fits: ap = 6, w1 = 9879.581, w2 = 9671.045, dw = -0.12639, nw = 1651 150407.0030.ec.fits: ap = 7, w1 = 9712.145, w2 = 9507.146, dw = -0.12424, nw = 1651 150407.0030.ec.fits: ap = 8, w1 = 9550.29, w2 = 9348.711, dw = -0.12217, nw = 1651 150407.0030.ec.fits: ap = 9, w1 = 9393.741, w2 = 9195.47, dw = -0.12016, nw = 1651 150407.0030.ec.fits: ap = 10, w1 = 9242.241, w2 = 9047.172, dw = -0.11822, nw = 1651 150407.0030.ec.fits: ap = 11, w1 = 9095.552, w2 = 8903.582, dw = -0.11635, nw = 1651 150407.0030.ec.fits: ap = 12, w1 = 8953.446, w2 = 8764.478, dw = -0.11453, nw = 1651 150407.0030.ec.fits: ap = 13, w1 = 8815.712, w2 = 8629.655, dw = -0.11276, nw = 1651 150407.0030.ec.fits: ap = 14, w1 = 8682.151, w2 = 8498.917, dw = -0.11105, nw = 1651 150407.0030.ec.fits: ap = 15, w1 = 8552.577, w2 = 8372.081, dw = -0.10939, nw = 1651 150407.0030.ec.fits: ap = 16, w1 = 8426.815, w2 = 8248.976, dw = -0.10778, nw = 1651 150407.0030.ec.fits: ap = 17, w1 = 8304.697, w2 = 8129.438, dw = -0.10622, nw = 1651 150407.0030.ec.fits: ap = 18, w1 = 8186.068, w2 = 8013.317, dw = -0.1047, nw = 1651 150407.0030.ec.fits: ap = 19, w1 = 8070.781, w2 = 7900.466, dw = -0.10322, nw = 1651 150407.0030.ec.fits: ap = 20, w1 = 7958.696, w2 = 7790.749, dw = -0.10179, nw = 1651 150407.0030.ec.fits: ap = 21, w1 = 7849.682, w2 = 7684.039, dw = -0.10039, nw = 1651 150407.0030.ec.fits: ap = 22, w1 = 7743.615, w2 = 7580.213, dw = -0.09903, nw = 1651 150407.0030.ec.fits: ap = 23, w1 = 7640.376, w2 = 7479.155, dw = -0.09771, nw = 1651 150407.0030.ec.fits: ap = 24, w1 = 7539.853, w2 = 7380.756, dw = -0.09642, nw = 1651 150407.0030.ec.fits: ap = 25, w1 = 7441.942, w2 = 7284.914, dw = -0.09517, nw = 1651 150407.0030.ec.fits: ap = 26, w1 = 7346.541, w2 = 7191.529, dw = -0.09395, nw = 1651 150407.0030.ec.fits: ap = 27, w1 = 7253.556, w2 = 7100.508, dw = -0.09276, nw = 1651 150407.0030.ec.fits: ap = 28, w1 = 7162.895, w2 = 7011.763, dw = -0.09159, nw = 1651 150407.0030.ec.fits: ap = 29, w1 = 7074.472, w2 = 6925.209, dw = -0.09046, nw = 1651 150407.0030.ec.fits: ap = 30, w1 = 6988.207, w2 = 6840.766, dw = -0.08936, nw = 1651 150407.0030.ec.fits: ap = 31, w1 = 6904.02, w2 = 6758.358, dw = -0.08828, nw = 1651 150407.0030.ec.fits: ap = 32, w1 = 6821.837, w2 = 6677.912, dw = -0.08723, nw = 1651 150407.0030.ec.fits: ap = 33, w1 = 6741.589, w2 = 6599.358, dw = -0.0862, nw = 1651 150407.0030.ec.fits: ap = 34, w1 = 6663.206, w2 = 6522.632, dw = -0.0852, nw = 1651 150407.0030.ec.fits: ap = 35, w1 = 6586.626, w2 = 6447.67, dw = -0.08422, nw = 1651 150407.0030.ec.fits: ap = 36, w1 = 6511.786, w2 = 6374.411, dw = -0.08326, nw = 1651 150407.0030.ec.fits: ap = 37, w1 = 6438.628, w2 = 6302.798, dw = -0.08232, nw = 1651 150407.0030.ec.fits: ap = 38, w1 = 6367.096, w2 = 6232.777, dw = -0.08141, nw = 1651 150407.0030.ec.fits: ap = 39, w1 = 6297.136, w2 = 6164.295, dw = -0.08051, nw = 1651 150407.0030.ec.fits: ap = 40, w1 = 6228.698, w2 = 6097.302, dw = -0.07963, nw = 1651 150407.0030.ec.fits: ap = 41, w1 = 6161.731, w2 = 6031.75, dw = -0.07878, nw = 1651 150407.0030.ec.fits: ap = 42, w1 = 6096.189, w2 = 5967.592, dw = -0.07794, nw = 1651 150407.0030.ec.fits: ap = 43, w1 = 6032.027, w2 = 5904.785, dw = -0.07712, nw = 1651 150407.0030.ec.fits: ap = 44, w1 = 5969.201, w2 = 5843.287, dw = -0.07631, nw = 1651 150407.0030.ec.fits: ap = 45, w1 = 5907.671, w2 = 5783.057, dw = -0.07552, nw = 1651 150407.0030.ec.fits: ap = 46, w1 = 5847.397, w2 = 5724.056, dw = -0.07475, nw = 1651 150407.0030.ec.fits: ap = 47, w1 = 5788.341, w2 = 5666.247, dw = -0.074, nw = 1651 150407.0030.ec.fits: ap = 48, w1 = 5730.466, w2 = 5609.594, dw = -0.07326, nw = 1651 150407.0030.ec.fits: ap = 49, w1 = 5673.737, w2 = 5554.063, dw = -0.07253, nw = 1651 150407.0030.ec.fits: ap = 50, w1 = 5618.121, w2 = 5499.621, dw = -0.07182, nw = 1651 150407.0030.ec.fits: ap = 51, w1 = 5563.585, w2 = 5446.236, dw = -0.07112, nw = 1651 150407.0030.ec.fits: ap = 52, w1 = 5510.097, w2 = 5393.878, dw = -0.07044, nw = 1651 150407.0030.ec.fits: ap = 53, w1 = 5457.628, w2 = 5342.518, dw = -0.06976, nw = 1651 150407.0030.ec.fits: ap = 54, w1 = 5406.15, w2 = 5292.126, dw = -0.06911, nw = 1651 150407.0030.ec.fits: ap = 55, w1 = 5355.634, w2 = 5242.677, dw = -0.06846, nw = 1651 150407.0030.ec.fits: ap = 56, w1 = 5306.053, w2 = 5194.143, dw = -0.06782, nw = 1651 150407.0030.ec.fits: ap = 57, w1 = 5257.382, w2 = 5146.5, dw = -0.0672, nw = 1651 150407.0030.ec.fits: ap = 58, w1 = 5209.596, w2 = 5099.723, dw = -0.06659, nw = 1651 150407.0030.ec.fits: ap = 59, w1 = 5162.672, w2 = 5053.789, dw = -0.06599, nw = 1651 150407.0030.ec.fits: ap = 60, w1 = 5116.585, w2 = 5008.675, dw = -0.0654, nw = 1651 150407.0030.ec.fits: ap = 61, w1 = 5071.314, w2 = 4964.36, dw = -0.06482, nw = 1651 150407.0030.ec.fits: ap = 62, w1 = 5026.837, w2 = 4920.823, dw = -0.06425, nw = 1651 150407.0030.ec.fits: ap = 63, w1 = 4983.134, w2 = 4878.043, dw = -0.06369, nw = 1651 150407.0030.ec.fits: ap = 64, w1 = 4940.184, w2 = 4836., dw = -0.06314, nw = 1651 150407.0030.ec.fits: ap = 65, w1 = 4897.969, w2 = 4794.676, dw = -0.0626, nw = 1651 150407.0030.ec.fits: ap = 66, w1 = 4856.469, w2 = 4754.052, dw = -0.06207, nw = 1651 150407.0030.ec.fits: ap = 67, w1 = 4815.667, w2 = 4714.112, dw = -0.06155, nw = 1651 150407.0030.ec.fits: ap = 68, w1 = 4775.544, w2 = 4674.837, dw = -0.06103, nw = 1651 150407.0030.ec.fits: ap = 69, w1 = 4736.085, w2 = 4636.211, dw = -0.06053, nw = 1651 150407.0030.ec.fits: ap = 70, w1 = 4697.273, w2 = 4598.219, dw = -0.06003, nw = 1651 150407.0030.ec.fits: ap = 71, w1 = 4659.091, w2 = 4560.844, dw = -0.05954, nw = 1651 150407.0030.ec.fits: ap = 72, w1 = 4621.526, w2 = 4524.072, dw = -0.05906, nw = 1651 150407.0030.ec.fits: ap = 73, w1 = 4584.562, w2 = 4487.888, dw = -0.05859, nw = 1651 150407.0030.ec.fits: ap = 74, w1 = 4548.184, w2 = 4452.279, dw = -0.05812, nw = 1651 150407.0030.ec.fits: ap = 75, w1 = 4512.379, w2 = 4417.231, dw = -0.05767, nw = 1651 150407.0030.ec.fits: ap = 76, w1 = 4477.134, w2 = 4382.731, dw = -0.05721, nw = 1651 150407.0030.ec.fits: ap = 77, w1 = 4442.435, w2 = 4348.765, dw = -0.05677, nw = 1651 150407.0030.ec.fits: ap = 78, w1 = 4408.27, w2 = 4315.322, dw = -0.05633, nw = 1651 150407.0030.ec.fits: ap = 79, w1 = 4374.626, w2 = 4282.389, dw = -0.0559, nw = 1651 150407.0030.ec.fits: ap = 80, w1 = 4341.492, w2 = 4249.956, dw = -0.05548, nw = 1651 150407.0030.ec.fits: ap = 81, w1 = 4308.856, w2 = 4218.01, dw = -0.05506, nw = 1651 150407.0030.ec.fits: ap = 82, w1 = 4276.708, w2 = 4186.541, dw = -0.05465, nw = 1651 150407.0030.ec.fits: ap = 83, w1 = 4245.035, w2 = 4155.539, dw = -0.05424, nw = 1651 150407.0030.ec.fits: ap = 84, w1 = 4213.828, w2 = 4124.992, dw = -0.05384, nw = 1651 150407.0030.ec.fits: ap = 85, w1 = 4183.077, w2 = 4094.891, dw = -0.05345, nw = 1651 150407.0030.ec.fits: ap = 86, w1 = 4152.771, w2 = 4065.226, dw = -0.05306, nw = 1651 150407.0030.ec.fits: ap = 87, w1 = 4122.9, w2 = 4035.988, dw = -0.05267, nw = 1651 150407.0030.ec.fits: ap = 88, w1 = 4093.457, w2 = 4007.168, dw = -0.0523, nw = 1651 150407.0030.ec.fits: ap = 89, w1 = 4064.43, w2 = 3978.756, dw = -0.05192, nw = 1651 150407.0030.ec.fits: ap = 90, w1 = 4035.813, w2 = 3950.745, dw = -0.05156, nw = 1651 150407.0030.ec.fits: ap = 91, w1 = 4007.595, w2 = 3923.125, dw = -0.05119, nw = 1651 150407.0030.ec.fits: ap = 92, w1 = 3979.77, w2 = 3895.889, dw = -0.05084, nw = 1651 150407.0030.ec.fits: ap = 93, w1 = 3952.328, w2 = 3869.028, dw = -0.05048, nw = 1651 150407.0030.ec.fits: ap = 94, w1 = 3925.261, w2 = 3842.536, dw = -0.05014, nw = 1651 150407.0030.ec.fits: ap = 95, w1 = 3898.563, w2 = 3816.403, dw = -0.04979, nw = 1651 150407.0030.ec.fits: ap = 96, w1 = 3872.225, w2 = 3790.624, dw = -0.04945, nw = 1651 150407.0030.ec.fits: ap = 97, w1 = 3846.24, w2 = 3765.191, dw = -0.04912, nw = 1651 150407.0030.ec.fits: ap = 98, w1 = 3820.602, w2 = 3740.097, dw = -0.04879, nw = 1651 150407.0030.ec.fits: ap = 99, w1 = 3795.303, w2 = 3715.335, dw = -0.04847, nw = 1651 150407.0030.ec.fits: ap = 100, w1 = 3770.336, w2 = 3690.899, dw = -0.04814, nw = 1651 150407.0030.ec.fits: ap = 101, w1 = 3745.696, w2 = 3666.782, dw = -0.04783, nw = 1651 150407.0030.ec.fits: ap = 102, w1 = 3721.375, w2 = 3642.978, dw = -0.04751, nw = 1651 150407.0030.ec.fits: ap = 103, w1 = 3697.368, w2 = 3619.482, dw = -0.0472, nw = 1651 150407.0030.ec.fits: ap = 104, w1 = 3673.668, w2 = 3596.286, dw = -0.0469, nw = 1651 150407.0030.ec.fits: ap = 105, w1 = 3650.269, w2 = 3573.386, dw = -0.0466, nw = 1651 150407.0030.ec.fits: ap = 106, w1 = 3627.167, w2 = 3550.775, dw = -0.0463, nw = 1651 150407.0030.ec.fits: ap = 107, w1 = 3604.355, w2 = 3528.449, dw = -0.046, nw = 1651 150407.0030.ec.fits: ap = 108, w1 = 3581.827, w2 = 3506.402, dw = -0.04571, nw = 1651 150407.0030.ec.fits: ap = 109, w1 = 3559.579, w2 = 3484.628, dw = -0.04542, nw = 1651 150407.0030.ec.fits: ap = 110, w1 = 3537.605, w2 = 3463.123, dw = -0.04514, nw = 1651 150407.0030.ec.fits: ap = 111, w1 = 3515.9, w2 = 3441.882, dw = -0.04486, nw = 1651 150407.0030.ec.fits: ap = 112, w1 = 3494.46, w2 = 3420.9, dw = -0.04458, nw = 1651 150407.0030.ec.fits: ap = 113, w1 = 3473.279, w2 = 3400.172, dw = -0.04431, nw = 1651 150407.0030.ec.fits: ap = 114, w1 = 3452.353, w2 = 3379.693, dw = -0.04404, nw = 1651 150407.0030.ec.fits: ap = 115, w1 = 3431.677, w2 = 3359.46, dw = -0.04377, nw = 1651 150407.0031.ec.fits: REFSPEC1 = 'EchelleThAr.0027.ec 0.21299782' 150407.0031.ec.fits: REFSPEC2 = 'EchelleThAr.0034.ec 0.78700215' 150407.0031.ec.fits: ap = 1, w1 = 10811.48, w2 = 10583.31, dw = -0.13828, nw = 1651 150407.0031.ec.fits: ap = 2, w1 = 10611.29, w2 = 10387.34, dw = -0.13573, nw = 1651 150407.0031.ec.fits: ap = 3, w1 = 10418.38, w2 = 10198.5, dw = -0.13326, nw = 1651 150407.0031.ec.fits: ap = 4, w1 = 10232.36, w2 = 10016.4, dw = -0.13088, nw = 1651 150407.0031.ec.fits: ap = 5, w1 = 10052.87, w2 = 9840.696, dw = -0.12859, nw = 1651 150407.0031.ec.fits: ap = 6, w1 = 9879.56, w2 = 9671.046, dw = -0.12637, nw = 1651 150407.0031.ec.fits: ap = 7, w1 = 9712.127, w2 = 9507.147, dw = -0.12423, nw = 1651 150407.0031.ec.fits: ap = 8, w1 = 9550.275, w2 = 9348.711, dw = -0.12216, nw = 1651 150407.0031.ec.fits: ap = 9, w1 = 9393.729, w2 = 9195.469, dw = -0.12016, nw = 1651 150407.0031.ec.fits: ap = 10, w1 = 9242.232, w2 = 9047.171, dw = -0.11822, nw = 1651 150407.0031.ec.fits: ap = 11, w1 = 9095.544, w2 = 8903.58, dw = -0.11634, nw = 1651 150407.0031.ec.fits: ap = 12, w1 = 8953.44, w2 = 8764.476, dw = -0.11452, nw = 1651 150407.0031.ec.fits: ap = 13, w1 = 8815.707, w2 = 8629.652, dw = -0.11276, nw = 1651 150407.0031.ec.fits: ap = 14, w1 = 8682.148, w2 = 8498.914, dw = -0.11105, nw = 1651 150407.0031.ec.fits: ap = 15, w1 = 8552.575, w2 = 8372.078, dw = -0.10939, nw = 1651 150407.0031.ec.fits: ap = 16, w1 = 8426.813, w2 = 8248.973, dw = -0.10778, nw = 1651 150407.0031.ec.fits: ap = 17, w1 = 8304.696, w2 = 8129.436, dw = -0.10622, nw = 1651 150407.0031.ec.fits: ap = 18, w1 = 8186.068, w2 = 8013.314, dw = -0.1047, nw = 1651 150407.0031.ec.fits: ap = 19, w1 = 8070.781, w2 = 7900.463, dw = -0.10322, nw = 1651 150407.0031.ec.fits: ap = 20, w1 = 7958.697, w2 = 7790.746, dw = -0.10179, nw = 1651 150407.0031.ec.fits: ap = 21, w1 = 7849.683, w2 = 7684.036, dw = -0.10039, nw = 1651 150407.0031.ec.fits: ap = 22, w1 = 7743.615, w2 = 7580.21, dw = -0.09903, nw = 1651 150407.0031.ec.fits: ap = 23, w1 = 7640.376, w2 = 7479.152, dw = -0.09771, nw = 1651 150407.0031.ec.fits: ap = 24, w1 = 7539.854, w2 = 7380.754, dw = -0.09642, nw = 1651 150407.0031.ec.fits: ap = 25, w1 = 7441.942, w2 = 7284.911, dw = -0.09517, nw = 1651 150407.0031.ec.fits: ap = 26, w1 = 7346.541, w2 = 7191.526, dw = -0.09395, nw = 1651 150407.0031.ec.fits: ap = 27, w1 = 7253.555, w2 = 7100.506, dw = -0.09276, nw = 1651 150407.0031.ec.fits: ap = 28, w1 = 7162.894, w2 = 7011.761, dw = -0.0916, nw = 1651 150407.0031.ec.fits: ap = 29, w1 = 7074.472, w2 = 6925.207, dw = -0.09046, nw = 1651 150407.0031.ec.fits: ap = 30, w1 = 6988.206, w2 = 6840.764, dw = -0.08936, nw = 1651 150407.0031.ec.fits: ap = 31, w1 = 6904.018, w2 = 6758.356, dw = -0.08828, nw = 1651 150407.0031.ec.fits: ap = 32, w1 = 6821.836, w2 = 6677.91, dw = -0.08723, nw = 1651 150407.0031.ec.fits: ap = 33, w1 = 6741.587, w2 = 6599.357, dw = -0.0862, nw = 1651 150407.0031.ec.fits: ap = 34, w1 = 6663.204, w2 = 6522.631, dw = -0.0852, nw = 1651 150407.0031.ec.fits: ap = 35, w1 = 6586.624, w2 = 6447.668, dw = -0.08422, nw = 1651 150407.0031.ec.fits: ap = 36, w1 = 6511.784, w2 = 6374.41, dw = -0.08326, nw = 1651 150407.0031.ec.fits: ap = 37, w1 = 6438.626, w2 = 6302.797, dw = -0.08232, nw = 1651 150407.0031.ec.fits: ap = 38, w1 = 6367.094, w2 = 6232.777, dw = -0.0814, nw = 1651 150407.0031.ec.fits: ap = 39, w1 = 6297.134, w2 = 6164.295, dw = -0.08051, nw = 1651 150407.0031.ec.fits: ap = 40, w1 = 6228.695, w2 = 6097.302, dw = -0.07963, nw = 1651 150407.0031.ec.fits: ap = 41, w1 = 6161.728, w2 = 6031.749, dw = -0.07877, nw = 1651 150407.0031.ec.fits: ap = 42, w1 = 6096.186, w2 = 5967.592, dw = -0.07794, nw = 1651 150407.0031.ec.fits: ap = 43, w1 = 6032.023, w2 = 5904.785, dw = -0.07711, nw = 1651 150407.0031.ec.fits: ap = 44, w1 = 5969.198, w2 = 5843.287, dw = -0.07631, nw = 1651 150407.0031.ec.fits: ap = 45, w1 = 5907.668, w2 = 5783.057, dw = -0.07552, nw = 1651 150407.0031.ec.fits: ap = 46, w1 = 5847.395, w2 = 5724.056, dw = -0.07475, nw = 1651 150407.0031.ec.fits: ap = 47, w1 = 5788.338, w2 = 5666.247, dw = -0.07399, nw = 1651 150407.0031.ec.fits: ap = 48, w1 = 5730.464, w2 = 5609.594, dw = -0.07325, nw = 1651 150407.0031.ec.fits: ap = 49, w1 = 5673.735, w2 = 5554.064, dw = -0.07253, nw = 1651 150407.0031.ec.fits: ap = 50, w1 = 5618.119, w2 = 5499.622, dw = -0.07182, nw = 1651 150407.0031.ec.fits: ap = 51, w1 = 5563.583, w2 = 5446.237, dw = -0.07112, nw = 1651 150407.0031.ec.fits: ap = 52, w1 = 5510.095, w2 = 5393.879, dw = -0.07043, nw = 1651 150407.0031.ec.fits: ap = 53, w1 = 5457.627, w2 = 5342.518, dw = -0.06976, nw = 1651 150407.0031.ec.fits: ap = 54, w1 = 5406.149, w2 = 5292.127, dw = -0.0691, nw = 1651 150407.0031.ec.fits: ap = 55, w1 = 5355.633, w2 = 5242.678, dw = -0.06846, nw = 1651 150407.0031.ec.fits: ap = 56, w1 = 5306.052, w2 = 5194.144, dw = -0.06782, nw = 1651 150407.0031.ec.fits: ap = 57, w1 = 5257.382, w2 = 5146.501, dw = -0.0672, nw = 1651 150407.0031.ec.fits: ap = 58, w1 = 5209.596, w2 = 5099.724, dw = -0.06659, nw = 1651 150407.0031.ec.fits: ap = 59, w1 = 5162.672, w2 = 5053.79, dw = -0.06599, nw = 1651 150407.0031.ec.fits: ap = 60, w1 = 5116.585, w2 = 5008.676, dw = -0.0654, nw = 1651 150407.0031.ec.fits: ap = 61, w1 = 5071.314, w2 = 4964.361, dw = -0.06482, nw = 1651 150407.0031.ec.fits: ap = 62, w1 = 5026.838, w2 = 4920.824, dw = -0.06425, nw = 1651 150407.0031.ec.fits: ap = 63, w1 = 4983.135, w2 = 4878.043, dw = -0.06369, nw = 1651 150407.0031.ec.fits: ap = 64, w1 = 4940.186, w2 = 4836.001, dw = -0.06314, nw = 1651 150407.0031.ec.fits: ap = 65, w1 = 4897.97, w2 = 4794.677, dw = -0.0626, nw = 1651 150407.0031.ec.fits: ap = 66, w1 = 4856.471, w2 = 4754.053, dw = -0.06207, nw = 1651 150407.0031.ec.fits: ap = 67, w1 = 4815.668, w2 = 4714.112, dw = -0.06155, nw = 1651 150407.0031.ec.fits: ap = 68, w1 = 4775.546, w2 = 4674.837, dw = -0.06104, nw = 1651 150407.0031.ec.fits: ap = 69, w1 = 4736.087, w2 = 4636.211, dw = -0.06053, nw = 1651 150407.0031.ec.fits: ap = 70, w1 = 4697.275, w2 = 4598.219, dw = -0.06003, nw = 1651 150407.0031.ec.fits: ap = 71, w1 = 4659.093, w2 = 4560.844, dw = -0.05955, nw = 1651 150407.0031.ec.fits: ap = 72, w1 = 4621.528, w2 = 4524.072, dw = -0.05906, nw = 1651 150407.0031.ec.fits: ap = 73, w1 = 4584.563, w2 = 4487.888, dw = -0.05859, nw = 1651 150407.0031.ec.fits: ap = 74, w1 = 4548.185, w2 = 4452.279, dw = -0.05812, nw = 1651 150407.0031.ec.fits: ap = 75, w1 = 4512.38, w2 = 4417.231, dw = -0.05767, nw = 1651 150407.0031.ec.fits: ap = 76, w1 = 4477.135, w2 = 4382.73, dw = -0.05721, nw = 1651 150407.0031.ec.fits: ap = 77, w1 = 4442.435, w2 = 4348.764, dw = -0.05677, nw = 1651 150407.0031.ec.fits: ap = 78, w1 = 4408.269, w2 = 4315.321, dw = -0.05633, nw = 1651 150407.0031.ec.fits: ap = 79, w1 = 4374.625, w2 = 4282.389, dw = -0.0559, nw = 1651 150407.0031.ec.fits: ap = 80, w1 = 4341.49, w2 = 4249.955, dw = -0.05548, nw = 1651 150407.0031.ec.fits: ap = 81, w1 = 4308.853, w2 = 4218.009, dw = -0.05506, nw = 1651 150407.0031.ec.fits: ap = 82, w1 = 4276.703, w2 = 4186.54, dw = -0.05464, nw = 1651 150407.0031.ec.fits: ap = 83, w1 = 4245.03, w2 = 4155.537, dw = -0.05424, nw = 1651 150407.0031.ec.fits: ap = 84, w1 = 4213.821, w2 = 4124.99, dw = -0.05384, nw = 1651 150407.0031.ec.fits: ap = 85, w1 = 4183.068, w2 = 4094.889, dw = -0.05344, nw = 1651 150407.0031.ec.fits: ap = 86, w1 = 4152.761, w2 = 4065.224, dw = -0.05305, nw = 1651 150407.0031.ec.fits: ap = 87, w1 = 4122.889, w2 = 4035.986, dw = -0.05267, nw = 1651 150407.0031.ec.fits: ap = 88, w1 = 4093.443, w2 = 4007.165, dw = -0.05229, nw = 1651 150407.0031.ec.fits: ap = 89, w1 = 4064.415, w2 = 3978.753, dw = -0.05192, nw = 1651 150407.0031.ec.fits: ap = 90, w1 = 4035.795, w2 = 3950.742, dw = -0.05155, nw = 1651 150407.0031.ec.fits: ap = 91, w1 = 4007.575, w2 = 3923.122, dw = -0.05118, nw = 1651 150407.0031.ec.fits: ap = 92, w1 = 3979.747, w2 = 3895.886, dw = -0.05083, nw = 1651 150407.0031.ec.fits: ap = 93, w1 = 3952.302, w2 = 3869.025, dw = -0.05047, nw = 1651 150407.0031.ec.fits: ap = 94, w1 = 3925.233, w2 = 3842.532, dw = -0.05012, nw = 1651 150407.0031.ec.fits: ap = 95, w1 = 3898.531, w2 = 3816.4, dw = -0.04978, nw = 1651 150407.0031.ec.fits: ap = 96, w1 = 3872.19, w2 = 3790.621, dw = -0.04944, nw = 1651 150407.0031.ec.fits: ap = 97, w1 = 3846.202, w2 = 3765.187, dw = -0.0491, nw = 1651 150407.0031.ec.fits: ap = 98, w1 = 3820.56, w2 = 3740.093, dw = -0.04877, nw = 1651 150407.0031.ec.fits: ap = 99, w1 = 3795.256, w2 = 3715.331, dw = -0.04844, nw = 1651 150407.0031.ec.fits: ap = 100, w1 = 3770.286, w2 = 3690.895, dw = -0.04812, nw = 1651 150407.0031.ec.fits: ap = 101, w1 = 3745.641, w2 = 3666.778, dw = -0.0478, nw = 1651 150407.0031.ec.fits: ap = 102, w1 = 3721.315, w2 = 3642.974, dw = -0.04748, nw = 1651 150407.0031.ec.fits: ap = 103, w1 = 3697.303, w2 = 3619.477, dw = -0.04717, nw = 1651 150407.0031.ec.fits: ap = 104, w1 = 3673.598, w2 = 3596.281, dw = -0.04686, nw = 1651 150407.0031.ec.fits: ap = 105, w1 = 3650.194, w2 = 3573.381, dw = -0.04655, nw = 1651 150407.0031.ec.fits: ap = 106, w1 = 3627.085, w2 = 3550.77, dw = -0.04625, nw = 1651 150407.0031.ec.fits: ap = 107, w1 = 3604.267, w2 = 3528.444, dw = -0.04595, nw = 1651 150407.0031.ec.fits: ap = 108, w1 = 3581.733, w2 = 3506.397, dw = -0.04566, nw = 1651 150407.0031.ec.fits: ap = 109, w1 = 3559.478, w2 = 3484.623, dw = -0.04537, nw = 1651 150407.0031.ec.fits: ap = 110, w1 = 3537.498, w2 = 3463.118, dw = -0.04508, nw = 1651 150407.0031.ec.fits: ap = 111, w1 = 3515.786, w2 = 3441.877, dw = -0.04479, nw = 1651 150407.0031.ec.fits: ap = 112, w1 = 3494.338, w2 = 3420.895, dw = -0.04451, nw = 1651 150407.0031.ec.fits: ap = 113, w1 = 3473.149, w2 = 3400.167, dw = -0.04423, nw = 1651 150407.0031.ec.fits: ap = 114, w1 = 3452.214, w2 = 3379.688, dw = -0.04396, nw = 1651 150407.0031.ec.fits: ap = 115, w1 = 3431.529, w2 = 3359.455, dw = -0.04368, nw = 1651 150407.0032.ec.fits: REFSPEC1 = 'EchelleThAr.0027.ec 0.081013754' 150407.0032.ec.fits: REFSPEC2 = 'EchelleThAr.0034.ec 0.91898626' 150407.0032.ec.fits: ap = 1, w1 = 10811.46, w2 = 10583.32, dw = -0.13827, nw = 1651 150407.0032.ec.fits: ap = 2, w1 = 10611.27, w2 = 10387.35, dw = -0.13571, nw = 1651 150407.0032.ec.fits: ap = 3, w1 = 10418.37, w2 = 10198.5, dw = -0.13325, nw = 1651 150407.0032.ec.fits: ap = 4, w1 = 10232.35, w2 = 10016.41, dw = -0.13087, nw = 1651 150407.0032.ec.fits: ap = 5, w1 = 10052.85, w2 = 9840.697, dw = -0.12858, nw = 1651 150407.0032.ec.fits: ap = 6, w1 = 9879.55, w2 = 9671.047, dw = -0.12637, nw = 1651 150407.0032.ec.fits: ap = 7, w1 = 9712.119, w2 = 9507.148, dw = -0.12423, nw = 1651 150407.0032.ec.fits: ap = 8, w1 = 9550.268, w2 = 9348.711, dw = -0.12216, nw = 1651 150407.0032.ec.fits: ap = 9, w1 = 9393.723, w2 = 9195.469, dw = -0.12015, nw = 1651 150407.0032.ec.fits: ap = 10, w1 = 9242.228, w2 = 9047.17, dw = -0.11822, nw = 1651 150407.0032.ec.fits: ap = 11, w1 = 9095.541, w2 = 8903.579, dw = -0.11634, nw = 1651 150407.0032.ec.fits: ap = 12, w1 = 8953.437, w2 = 8764.475, dw = -0.11452, nw = 1651 150407.0032.ec.fits: ap = 13, w1 = 8815.705, w2 = 8629.651, dw = -0.11276, nw = 1651 150407.0032.ec.fits: ap = 14, w1 = 8682.147, w2 = 8498.913, dw = -0.11105, nw = 1651 150407.0032.ec.fits: ap = 15, w1 = 8552.574, w2 = 8372.077, dw = -0.10939, nw = 1651 150407.0032.ec.fits: ap = 16, w1 = 8426.813, w2 = 8248.972, dw = -0.10778, nw = 1651 150407.0032.ec.fits: ap = 17, w1 = 8304.696, w2 = 8129.434, dw = -0.10622, nw = 1651 150407.0032.ec.fits: ap = 18, w1 = 8186.068, w2 = 8013.312, dw = -0.1047, nw = 1651 150407.0032.ec.fits: ap = 19, w1 = 8070.782, w2 = 7900.461, dw = -0.10322, nw = 1651 150407.0032.ec.fits: ap = 20, w1 = 7958.697, w2 = 7790.745, dw = -0.10179, nw = 1651 150407.0032.ec.fits: ap = 21, w1 = 7849.683, w2 = 7684.035, dw = -0.10039, nw = 1651 150407.0032.ec.fits: ap = 22, w1 = 7743.616, w2 = 7580.208, dw = -0.09903, nw = 1651 150407.0032.ec.fits: ap = 23, w1 = 7640.376, w2 = 7479.151, dw = -0.09771, nw = 1651 150407.0032.ec.fits: ap = 24, w1 = 7539.854, w2 = 7380.753, dw = -0.09642, nw = 1651 150407.0032.ec.fits: ap = 25, w1 = 7441.942, w2 = 7284.91, dw = -0.09517, nw = 1651 150407.0032.ec.fits: ap = 26, w1 = 7346.541, w2 = 7191.525, dw = -0.09395, nw = 1651 150407.0032.ec.fits: ap = 27, w1 = 7253.555, w2 = 7100.505, dw = -0.09276, nw = 1651 150407.0032.ec.fits: ap = 28, w1 = 7162.894, w2 = 7011.76, dw = -0.0916, nw = 1651 150407.0032.ec.fits: ap = 29, w1 = 7074.471, w2 = 6925.206, dw = -0.09046, nw = 1651 150407.0032.ec.fits: ap = 30, w1 = 6988.205, w2 = 6840.763, dw = -0.08936, nw = 1651 150407.0032.ec.fits: ap = 31, w1 = 6904.018, w2 = 6758.355, dw = -0.08828, nw = 1651 150407.0032.ec.fits: ap = 32, w1 = 6821.835, w2 = 6677.909, dw = -0.08723, nw = 1651 150407.0032.ec.fits: ap = 33, w1 = 6741.586, w2 = 6599.356, dw = -0.0862, nw = 1651 150407.0032.ec.fits: ap = 34, w1 = 6663.203, w2 = 6522.63, dw = -0.0852, nw = 1651 150407.0032.ec.fits: ap = 35, w1 = 6586.623, w2 = 6447.668, dw = -0.08422, nw = 1651 150407.0032.ec.fits: ap = 36, w1 = 6511.783, w2 = 6374.409, dw = -0.08326, nw = 1651 150407.0032.ec.fits: ap = 37, w1 = 6438.625, w2 = 6302.797, dw = -0.08232, nw = 1651 150407.0032.ec.fits: ap = 38, w1 = 6367.092, w2 = 6232.776, dw = -0.0814, nw = 1651 150407.0032.ec.fits: ap = 39, w1 = 6297.132, w2 = 6164.294, dw = -0.08051, nw = 1651 150407.0032.ec.fits: ap = 40, w1 = 6228.693, w2 = 6097.301, dw = -0.07963, nw = 1651 150407.0032.ec.fits: ap = 41, w1 = 6161.726, w2 = 6031.749, dw = -0.07877, nw = 1651 150407.0032.ec.fits: ap = 42, w1 = 6096.184, w2 = 5967.592, dw = -0.07793, nw = 1651 150407.0032.ec.fits: ap = 43, w1 = 6032.022, w2 = 5904.785, dw = -0.07711, nw = 1651 150407.0032.ec.fits: ap = 44, w1 = 5969.197, w2 = 5843.287, dw = -0.07631, nw = 1651 150407.0032.ec.fits: ap = 45, w1 = 5907.667, w2 = 5783.057, dw = -0.07552, nw = 1651 150407.0032.ec.fits: ap = 46, w1 = 5847.393, w2 = 5724.056, dw = -0.07475, nw = 1651 150407.0032.ec.fits: ap = 47, w1 = 5788.337, w2 = 5666.247, dw = -0.07399, nw = 1651 150407.0032.ec.fits: ap = 48, w1 = 5730.462, w2 = 5609.594, dw = -0.07325, nw = 1651 150407.0032.ec.fits: ap = 49, w1 = 5673.734, w2 = 5554.064, dw = -0.07253, nw = 1651 150407.0032.ec.fits: ap = 50, w1 = 5618.118, w2 = 5499.622, dw = -0.07182, nw = 1651 150407.0032.ec.fits: ap = 51, w1 = 5563.582, w2 = 5446.237, dw = -0.07112, nw = 1651 150407.0032.ec.fits: ap = 52, w1 = 5510.094, w2 = 5393.879, dw = -0.07043, nw = 1651 150407.0032.ec.fits: ap = 53, w1 = 5457.626, w2 = 5342.519, dw = -0.06976, nw = 1651 150407.0032.ec.fits: ap = 54, w1 = 5406.148, w2 = 5292.127, dw = -0.0691, nw = 1651 150407.0032.ec.fits: ap = 55, w1 = 5355.632, w2 = 5242.678, dw = -0.06846, nw = 1651 150407.0032.ec.fits: ap = 56, w1 = 5306.052, w2 = 5194.144, dw = -0.06782, nw = 1651 150407.0032.ec.fits: ap = 57, w1 = 5257.381, w2 = 5146.501, dw = -0.0672, nw = 1651 150407.0032.ec.fits: ap = 58, w1 = 5209.596, w2 = 5099.724, dw = -0.06659, nw = 1651 150407.0032.ec.fits: ap = 59, w1 = 5162.672, w2 = 5053.79, dw = -0.06599, nw = 1651 150407.0032.ec.fits: ap = 60, w1 = 5116.585, w2 = 5008.677, dw = -0.0654, nw = 1651 150407.0032.ec.fits: ap = 61, w1 = 5071.315, w2 = 4964.362, dw = -0.06482, nw = 1651 150407.0032.ec.fits: ap = 62, w1 = 5026.838, w2 = 4920.824, dw = -0.06425, nw = 1651 150407.0032.ec.fits: ap = 63, w1 = 4983.135, w2 = 4878.044, dw = -0.06369, nw = 1651 150407.0032.ec.fits: ap = 64, w1 = 4940.186, w2 = 4836.001, dw = -0.06314, nw = 1651 150407.0032.ec.fits: ap = 65, w1 = 4897.971, w2 = 4794.677, dw = -0.0626, nw = 1651 150407.0032.ec.fits: ap = 66, w1 = 4856.471, w2 = 4754.053, dw = -0.06207, nw = 1651 150407.0032.ec.fits: ap = 67, w1 = 4815.669, w2 = 4714.112, dw = -0.06155, nw = 1651 150407.0032.ec.fits: ap = 68, w1 = 4775.547, w2 = 4674.837, dw = -0.06104, nw = 1651 150407.0032.ec.fits: ap = 69, w1 = 4736.088, w2 = 4636.212, dw = -0.06053, nw = 1651 150407.0032.ec.fits: ap = 70, w1 = 4697.276, w2 = 4598.219, dw = -0.06003, nw = 1651 150407.0032.ec.fits: ap = 71, w1 = 4659.094, w2 = 4560.844, dw = -0.05955, nw = 1651 150407.0032.ec.fits: ap = 72, w1 = 4621.529, w2 = 4524.072, dw = -0.05906, nw = 1651 150407.0032.ec.fits: ap = 73, w1 = 4584.564, w2 = 4487.889, dw = -0.05859, nw = 1651 150407.0032.ec.fits: ap = 74, w1 = 4548.186, w2 = 4452.279, dw = -0.05813, nw = 1651 150407.0032.ec.fits: ap = 75, w1 = 4512.381, w2 = 4417.231, dw = -0.05767, nw = 1651 150407.0032.ec.fits: ap = 76, w1 = 4477.135, w2 = 4382.73, dw = -0.05722, nw = 1651 150407.0032.ec.fits: ap = 77, w1 = 4442.435, w2 = 4348.764, dw = -0.05677, nw = 1651 150407.0032.ec.fits: ap = 78, w1 = 4408.269, w2 = 4315.321, dw = -0.05633, nw = 1651 150407.0032.ec.fits: ap = 79, w1 = 4374.624, w2 = 4282.388, dw = -0.0559, nw = 1651 150407.0032.ec.fits: ap = 80, w1 = 4341.489, w2 = 4249.954, dw = -0.05548, nw = 1651 150407.0032.ec.fits: ap = 81, w1 = 4308.852, w2 = 4218.008, dw = -0.05506, nw = 1651 150407.0032.ec.fits: ap = 82, w1 = 4276.702, w2 = 4186.539, dw = -0.05464, nw = 1651 150407.0032.ec.fits: ap = 83, w1 = 4245.027, w2 = 4155.536, dw = -0.05424, nw = 1651 150407.0032.ec.fits: ap = 84, w1 = 4213.818, w2 = 4124.989, dw = -0.05384, nw = 1651 150407.0032.ec.fits: ap = 85, w1 = 4183.065, w2 = 4094.888, dw = -0.05344, nw = 1651 150407.0032.ec.fits: ap = 86, w1 = 4152.756, w2 = 4065.223, dw = -0.05305, nw = 1651 150407.0032.ec.fits: ap = 87, w1 = 4122.884, w2 = 4035.985, dw = -0.05267, nw = 1651 150407.0032.ec.fits: ap = 88, w1 = 4093.437, w2 = 4007.164, dw = -0.05229, nw = 1651 150407.0032.ec.fits: ap = 89, w1 = 4064.408, w2 = 3978.752, dw = -0.05191, nw = 1651 150407.0032.ec.fits: ap = 90, w1 = 4035.788, w2 = 3950.741, dw = -0.05154, nw = 1651 150407.0032.ec.fits: ap = 91, w1 = 4007.567, w2 = 3923.121, dw = -0.05118, nw = 1651 150407.0032.ec.fits: ap = 92, w1 = 3979.737, w2 = 3895.884, dw = -0.05082, nw = 1651 150407.0032.ec.fits: ap = 93, w1 = 3952.291, w2 = 3869.024, dw = -0.05047, nw = 1651 150407.0032.ec.fits: ap = 94, w1 = 3925.22, w2 = 3842.531, dw = -0.05011, nw = 1651 150407.0032.ec.fits: ap = 95, w1 = 3898.517, w2 = 3816.398, dw = -0.04977, nw = 1651 150407.0032.ec.fits: ap = 96, w1 = 3872.175, w2 = 3790.619, dw = -0.04943, nw = 1651 150407.0032.ec.fits: ap = 97, w1 = 3846.185, w2 = 3765.186, dw = -0.04909, nw = 1651 150407.0032.ec.fits: ap = 98, w1 = 3820.541, w2 = 3740.091, dw = -0.04876, nw = 1651 150407.0032.ec.fits: ap = 99, w1 = 3795.236, w2 = 3715.329, dw = -0.04843, nw = 1651 150407.0032.ec.fits: ap = 100, w1 = 3770.263, w2 = 3690.893, dw = -0.0481, nw = 1651 150407.0032.ec.fits: ap = 101, w1 = 3745.616, w2 = 3666.776, dw = -0.04778, nw = 1651 150407.0032.ec.fits: ap = 102, w1 = 3721.289, w2 = 3642.972, dw = -0.04746, nw = 1651 150407.0032.ec.fits: ap = 103, w1 = 3697.274, w2 = 3619.475, dw = -0.04715, nw = 1651 150407.0032.ec.fits: ap = 104, w1 = 3673.567, w2 = 3596.279, dw = -0.04684, nw = 1651 150407.0032.ec.fits: ap = 105, w1 = 3650.16, w2 = 3573.379, dw = -0.04653, nw = 1651 150407.0032.ec.fits: ap = 106, w1 = 3627.05, w2 = 3550.768, dw = -0.04623, nw = 1651 150407.0032.ec.fits: ap = 107, w1 = 3604.229, w2 = 3528.442, dw = -0.04593, nw = 1651 150407.0032.ec.fits: ap = 108, w1 = 3581.692, w2 = 3506.395, dw = -0.04563, nw = 1651 150407.0032.ec.fits: ap = 109, w1 = 3559.434, w2 = 3484.621, dw = -0.04534, nw = 1651 150407.0032.ec.fits: ap = 110, w1 = 3537.45, w2 = 3463.116, dw = -0.04505, nw = 1651 150407.0032.ec.fits: ap = 111, w1 = 3515.735, w2 = 3441.875, dw = -0.04476, nw = 1651 150407.0032.ec.fits: ap = 112, w1 = 3494.284, w2 = 3420.893, dw = -0.04448, nw = 1651 150407.0032.ec.fits: ap = 113, w1 = 3473.091, w2 = 3400.164, dw = -0.0442, nw = 1651 150407.0032.ec.fits: ap = 114, w1 = 3452.153, w2 = 3379.686, dw = -0.04392, nw = 1651 150407.0032.ec.fits: ap = 115, w1 = 3431.464, w2 = 3359.452, dw = -0.04364, nw = 1651 150407.0033.ec.fits: REFSPEC1 = 'EchelleThAr.0027.ec 0.039843448' 150407.0033.ec.fits: REFSPEC2 = 'EchelleThAr.0034.ec 0.96015656' 150407.0033.ec.fits: ap = 1, w1 = 10811.45, w2 = 10583.32, dw = -0.13827, nw = 1651 150407.0033.ec.fits: ap = 2, w1 = 10611.27, w2 = 10387.35, dw = -0.13571, nw = 1651 150407.0033.ec.fits: ap = 3, w1 = 10418.36, w2 = 10198.51, dw = -0.13325, nw = 1651 150407.0033.ec.fits: ap = 4, w1 = 10232.34, w2 = 10016.41, dw = -0.13087, nw = 1651 150407.0033.ec.fits: ap = 5, w1 = 10052.85, w2 = 9840.698, dw = -0.12858, nw = 1651 150407.0033.ec.fits: ap = 6, w1 = 9879.547, w2 = 9671.047, dw = -0.12636, nw = 1651 150407.0033.ec.fits: ap = 7, w1 = 9712.117, w2 = 9507.148, dw = -0.12422, nw = 1651 150407.0033.ec.fits: ap = 8, w1 = 9550.266, w2 = 9348.711, dw = -0.12215, nw = 1651 150407.0033.ec.fits: ap = 9, w1 = 9393.722, w2 = 9195.469, dw = -0.12015, nw = 1651 150407.0033.ec.fits: ap = 10, w1 = 9242.226, w2 = 9047.17, dw = -0.11822, nw = 1651 150407.0033.ec.fits: ap = 11, w1 = 9095.54, w2 = 8903.579, dw = -0.11634, nw = 1651 150407.0033.ec.fits: ap = 12, w1 = 8953.436, w2 = 8764.475, dw = -0.11452, nw = 1651 150407.0033.ec.fits: ap = 13, w1 = 8815.705, w2 = 8629.651, dw = -0.11276, nw = 1651 150407.0033.ec.fits: ap = 14, w1 = 8682.146, w2 = 8498.913, dw = -0.11105, nw = 1651 150407.0033.ec.fits: ap = 15, w1 = 8552.574, w2 = 8372.077, dw = -0.10939, nw = 1651 150407.0033.ec.fits: ap = 16, w1 = 8426.813, w2 = 8248.971, dw = -0.10778, nw = 1651 150407.0033.ec.fits: ap = 17, w1 = 8304.696, w2 = 8129.434, dw = -0.10622, nw = 1651 150407.0033.ec.fits: ap = 18, w1 = 8186.068, w2 = 8013.312, dw = -0.1047, nw = 1651 150407.0033.ec.fits: ap = 19, w1 = 8070.782, w2 = 7900.461, dw = -0.10322, nw = 1651 150407.0033.ec.fits: ap = 20, w1 = 7958.697, w2 = 7790.745, dw = -0.10179, nw = 1651 150407.0033.ec.fits: ap = 21, w1 = 7849.683, w2 = 7684.034, dw = -0.10039, nw = 1651 150407.0033.ec.fits: ap = 22, w1 = 7743.616, w2 = 7580.208, dw = -0.09904, nw = 1651 150407.0033.ec.fits: ap = 23, w1 = 7640.377, w2 = 7479.15, dw = -0.09771, nw = 1651 150407.0033.ec.fits: ap = 24, w1 = 7539.854, w2 = 7380.752, dw = -0.09643, nw = 1651 150407.0033.ec.fits: ap = 25, w1 = 7441.942, w2 = 7284.91, dw = -0.09517, nw = 1651 150407.0033.ec.fits: ap = 26, w1 = 7346.541, w2 = 7191.525, dw = -0.09395, nw = 1651 150407.0033.ec.fits: ap = 27, w1 = 7253.555, w2 = 7100.504, dw = -0.09276, nw = 1651 150407.0033.ec.fits: ap = 28, w1 = 7162.894, w2 = 7011.759, dw = -0.0916, nw = 1651 150407.0033.ec.fits: ap = 29, w1 = 7074.471, w2 = 6925.205, dw = -0.09046, nw = 1651 150407.0033.ec.fits: ap = 30, w1 = 6988.205, w2 = 6840.763, dw = -0.08936, nw = 1651 150407.0033.ec.fits: ap = 31, w1 = 6904.018, w2 = 6758.355, dw = -0.08828, nw = 1651 150407.0033.ec.fits: ap = 32, w1 = 6821.835, w2 = 6677.909, dw = -0.08723, nw = 1651 150407.0033.ec.fits: ap = 33, w1 = 6741.586, w2 = 6599.356, dw = -0.0862, nw = 1651 150407.0033.ec.fits: ap = 34, w1 = 6663.203, w2 = 6522.63, dw = -0.0852, nw = 1651 150407.0033.ec.fits: ap = 35, w1 = 6586.622, w2 = 6447.668, dw = -0.08422, nw = 1651 150407.0033.ec.fits: ap = 36, w1 = 6511.782, w2 = 6374.409, dw = -0.08326, nw = 1651 150407.0033.ec.fits: ap = 37, w1 = 6438.624, w2 = 6302.797, dw = -0.08232, nw = 1651 150407.0033.ec.fits: ap = 38, w1 = 6367.092, w2 = 6232.776, dw = -0.0814, nw = 1651 150407.0033.ec.fits: ap = 39, w1 = 6297.132, w2 = 6164.294, dw = -0.08051, nw = 1651 150407.0033.ec.fits: ap = 40, w1 = 6228.693, w2 = 6097.301, dw = -0.07963, nw = 1651 150407.0033.ec.fits: ap = 41, w1 = 6161.726, w2 = 6031.749, dw = -0.07877, nw = 1651 150407.0033.ec.fits: ap = 42, w1 = 6096.184, w2 = 5967.592, dw = -0.07793, nw = 1651 150407.0033.ec.fits: ap = 43, w1 = 6032.022, w2 = 5904.785, dw = -0.07711, nw = 1651 150407.0033.ec.fits: ap = 44, w1 = 5969.196, w2 = 5843.287, dw = -0.07631, nw = 1651 150407.0033.ec.fits: ap = 45, w1 = 5907.667, w2 = 5783.057, dw = -0.07552, nw = 1651 150407.0033.ec.fits: ap = 46, w1 = 5847.393, w2 = 5724.056, dw = -0.07475, nw = 1651 150407.0033.ec.fits: ap = 47, w1 = 5788.337, w2 = 5666.247, dw = -0.07399, nw = 1651 150407.0033.ec.fits: ap = 48, w1 = 5730.462, w2 = 5609.595, dw = -0.07325, nw = 1651 150407.0033.ec.fits: ap = 49, w1 = 5673.733, w2 = 5554.064, dw = -0.07253, nw = 1651 150407.0033.ec.fits: ap = 50, w1 = 5618.117, w2 = 5499.622, dw = -0.07182, nw = 1651 150407.0033.ec.fits: ap = 51, w1 = 5563.581, w2 = 5446.237, dw = -0.07112, nw = 1651 150407.0033.ec.fits: ap = 52, w1 = 5510.094, w2 = 5393.879, dw = -0.07043, nw = 1651 150407.0033.ec.fits: ap = 53, w1 = 5457.626, w2 = 5342.519, dw = -0.06976, nw = 1651 150407.0033.ec.fits: ap = 54, w1 = 5406.148, w2 = 5292.127, dw = -0.0691, nw = 1651 150407.0033.ec.fits: ap = 55, w1 = 5355.632, w2 = 5242.678, dw = -0.06846, nw = 1651 150407.0033.ec.fits: ap = 56, w1 = 5306.052, w2 = 5194.144, dw = -0.06782, nw = 1651 150407.0033.ec.fits: ap = 57, w1 = 5257.381, w2 = 5146.501, dw = -0.0672, nw = 1651 150407.0033.ec.fits: ap = 58, w1 = 5209.596, w2 = 5099.724, dw = -0.06659, nw = 1651 150407.0033.ec.fits: ap = 59, w1 = 5162.672, w2 = 5053.79, dw = -0.06599, nw = 1651 150407.0033.ec.fits: ap = 60, w1 = 5116.585, w2 = 5008.677, dw = -0.0654, nw = 1651 150407.0033.ec.fits: ap = 61, w1 = 5071.315, w2 = 4964.362, dw = -0.06482, nw = 1651 150407.0033.ec.fits: ap = 62, w1 = 5026.838, w2 = 4920.824, dw = -0.06425, nw = 1651 150407.0033.ec.fits: ap = 63, w1 = 4983.136, w2 = 4878.044, dw = -0.06369, nw = 1651 150407.0033.ec.fits: ap = 64, w1 = 4940.186, w2 = 4836.001, dw = -0.06314, nw = 1651 150407.0033.ec.fits: ap = 65, w1 = 4897.971, w2 = 4794.677, dw = -0.0626, nw = 1651 150407.0033.ec.fits: ap = 66, w1 = 4856.472, w2 = 4754.053, dw = -0.06207, nw = 1651 150407.0033.ec.fits: ap = 67, w1 = 4815.669, w2 = 4714.113, dw = -0.06155, nw = 1651 150407.0033.ec.fits: ap = 68, w1 = 4775.547, w2 = 4674.837, dw = -0.06104, nw = 1651 150407.0033.ec.fits: ap = 69, w1 = 4736.088, w2 = 4636.212, dw = -0.06053, nw = 1651 150407.0033.ec.fits: ap = 70, w1 = 4697.276, w2 = 4598.219, dw = -0.06003, nw = 1651 150407.0033.ec.fits: ap = 71, w1 = 4659.095, w2 = 4560.844, dw = -0.05955, nw = 1651 150407.0033.ec.fits: ap = 72, w1 = 4621.529, w2 = 4524.072, dw = -0.05906, nw = 1651 150407.0033.ec.fits: ap = 73, w1 = 4584.564, w2 = 4487.889, dw = -0.05859, nw = 1651 150407.0033.ec.fits: ap = 74, w1 = 4548.186, w2 = 4452.279, dw = -0.05813, nw = 1651 150407.0033.ec.fits: ap = 75, w1 = 4512.381, w2 = 4417.231, dw = -0.05767, nw = 1651 150407.0033.ec.fits: ap = 76, w1 = 4477.135, w2 = 4382.73, dw = -0.05722, nw = 1651 150407.0033.ec.fits: ap = 77, w1 = 4442.435, w2 = 4348.764, dw = -0.05677, nw = 1651 150407.0033.ec.fits: ap = 78, w1 = 4408.269, w2 = 4315.321, dw = -0.05633, nw = 1651 150407.0033.ec.fits: ap = 79, w1 = 4374.624, w2 = 4282.388, dw = -0.0559, nw = 1651 150407.0033.ec.fits: ap = 80, w1 = 4341.489, w2 = 4249.954, dw = -0.05548, nw = 1651 150407.0033.ec.fits: ap = 81, w1 = 4308.851, w2 = 4218.008, dw = -0.05506, nw = 1651 150407.0033.ec.fits: ap = 82, w1 = 4276.701, w2 = 4186.539, dw = -0.05464, nw = 1651 150407.0033.ec.fits: ap = 83, w1 = 4245.026, w2 = 4155.536, dw = -0.05424, nw = 1651 150407.0033.ec.fits: ap = 84, w1 = 4213.817, w2 = 4124.989, dw = -0.05384, nw = 1651 150407.0033.ec.fits: ap = 85, w1 = 4183.063, w2 = 4094.887, dw = -0.05344, nw = 1651 150407.0033.ec.fits: ap = 86, w1 = 4152.755, w2 = 4065.222, dw = -0.05305, nw = 1651 150407.0033.ec.fits: ap = 87, w1 = 4122.882, w2 = 4035.984, dw = -0.05267, nw = 1651 150407.0033.ec.fits: ap = 88, w1 = 4093.435, w2 = 4007.164, dw = -0.05229, nw = 1651 150407.0033.ec.fits: ap = 89, w1 = 4064.406, w2 = 3978.752, dw = -0.05191, nw = 1651 150407.0033.ec.fits: ap = 90, w1 = 4035.785, w2 = 3950.74, dw = -0.05154, nw = 1651 150407.0033.ec.fits: ap = 91, w1 = 4007.564, w2 = 3923.12, dw = -0.05118, nw = 1651 150407.0033.ec.fits: ap = 92, w1 = 3979.734, w2 = 3895.884, dw = -0.05082, nw = 1651 150407.0033.ec.fits: ap = 93, w1 = 3952.288, w2 = 3869.023, dw = -0.05046, nw = 1651 150407.0033.ec.fits: ap = 94, w1 = 3925.216, w2 = 3842.53, dw = -0.05011, nw = 1651 150407.0033.ec.fits: ap = 95, w1 = 3898.513, w2 = 3816.398, dw = -0.04977, nw = 1651 150407.0033.ec.fits: ap = 96, w1 = 3872.17, w2 = 3790.618, dw = -0.04943, nw = 1651 150407.0033.ec.fits: ap = 97, w1 = 3846.18, w2 = 3765.185, dw = -0.04909, nw = 1651 150407.0033.ec.fits: ap = 98, w1 = 3820.535, w2 = 3740.091, dw = -0.04875, nw = 1651 150407.0033.ec.fits: ap = 99, w1 = 3795.23, w2 = 3715.329, dw = -0.04842, nw = 1651 150407.0033.ec.fits: ap = 100, w1 = 3770.256, w2 = 3690.892, dw = -0.0481, nw = 1651 150407.0033.ec.fits: ap = 101, w1 = 3745.609, w2 = 3666.775, dw = -0.04778, nw = 1651 150407.0033.ec.fits: ap = 102, w1 = 3721.281, w2 = 3642.971, dw = -0.04746, nw = 1651 150407.0033.ec.fits: ap = 103, w1 = 3697.265, w2 = 3619.474, dw = -0.04715, nw = 1651 150407.0033.ec.fits: ap = 104, w1 = 3673.557, w2 = 3596.279, dw = -0.04684, nw = 1651 150407.0033.ec.fits: ap = 105, w1 = 3650.15, w2 = 3573.378, dw = -0.04653, nw = 1651 150407.0033.ec.fits: ap = 106, w1 = 3627.038, w2 = 3550.768, dw = -0.04622, nw = 1651 150407.0033.ec.fits: ap = 107, w1 = 3604.216, w2 = 3528.441, dw = -0.04592, nw = 1651 150407.0033.ec.fits: ap = 108, w1 = 3581.679, w2 = 3506.394, dw = -0.04563, nw = 1651 150407.0033.ec.fits: ap = 109, w1 = 3559.42, w2 = 3484.62, dw = -0.04533, nw = 1651 150407.0033.ec.fits: ap = 110, w1 = 3537.435, w2 = 3463.115, dw = -0.04504, nw = 1651 150407.0033.ec.fits: ap = 111, w1 = 3515.719, w2 = 3441.874, dw = -0.04475, nw = 1651 150407.0033.ec.fits: ap = 112, w1 = 3494.267, w2 = 3420.892, dw = -0.04447, nw = 1651 150407.0033.ec.fits: ap = 113, w1 = 3473.073, w2 = 3400.164, dw = -0.04419, nw = 1651 150407.0033.ec.fits: ap = 114, w1 = 3452.134, w2 = 3379.685, dw = -0.04391, nw = 1651 150407.0033.ec.fits: ap = 115, w1 = 3431.444, w2 = 3359.452, dw = -0.04363, nw = 1651 EchelleThAr.0020.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' zEchelleThAr.0020.ec.fits: ap = 1, w1 = 10811.57, w2 = 10583.29, dw = -0.13835, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 2, w1 = 10611.36, w2 = 10387.32, dw = -0.13578, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 3, w1 = 10418.44, w2 = 10198.49, dw = -0.13331, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 4, w1 = 10232.41, w2 = 10016.39, dw = -0.13092, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 5, w1 = 10052.91, w2 = 9840.687, dw = -0.12862, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 6, w1 = 9879.593, w2 = 9671.04, dw = -0.1264, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 7, w1 = 9712.155, w2 = 9507.144, dw = -0.12425, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 8, w1 = 9550.297, w2 = 9348.71, dw = -0.12217, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 9, w1 = 9393.746, w2 = 9195.47, dw = -0.12017, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 10, w1 = 9242.246, w2 = 9047.173, dw = -0.11823, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 11, w1 = 9095.555, w2 = 8903.583, dw = -0.11635, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 12, w1 = 8953.448, w2 = 8764.481, dw = -0.11453, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 13, w1 = 8815.713, w2 = 8629.658, dw = -0.11276, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 14, w1 = 8682.153, w2 = 8498.92, dw = -0.11105, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 15, w1 = 8552.579, w2 = 8372.085, dw = -0.10939, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 16, w1 = 8426.816, w2 = 8248.979, dw = -0.10778, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 17, w1 = 8304.699, w2 = 8129.442, dw = -0.10622, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 18, w1 = 8186.071, w2 = 8013.32, dw = -0.1047, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 19, w1 = 8070.784, w2 = 7900.469, dw = -0.10322, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 20, w1 = 7958.7, w2 = 7790.753, dw = -0.10179, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 21, w1 = 7849.686, w2 = 7684.042, dw = -0.10039, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 22, w1 = 7743.619, w2 = 7580.216, dw = -0.09903, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 23, w1 = 7640.381, w2 = 7479.158, dw = -0.09771, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 24, w1 = 7539.859, w2 = 7380.759, dw = -0.09642, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 25, w1 = 7441.948, w2 = 7284.916, dw = -0.09517, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 26, w1 = 7346.548, w2 = 7191.531, dw = -0.09395, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 27, w1 = 7253.563, w2 = 7100.51, dw = -0.09276, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 28, w1 = 7162.902, w2 = 7011.764, dw = -0.0916, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 29, w1 = 7074.48, w2 = 6925.209, dw = -0.09047, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 30, w1 = 6988.215, w2 = 6840.766, dw = -0.08936, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 31, w1 = 6904.029, w2 = 6758.357, dw = -0.08829, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 32, w1 = 6821.846, w2 = 6677.911, dw = -0.08723, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 33, w1 = 6741.598, w2 = 6599.357, dw = -0.08621, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 34, w1 = 6663.216, w2 = 6522.631, dw = -0.0852, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 35, w1 = 6586.636, w2 = 6447.668, dw = -0.08422, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 36, w1 = 6511.796, w2 = 6374.409, dw = -0.08326, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 37, w1 = 6438.638, w2 = 6302.796, dw = -0.08233, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 38, w1 = 6367.106, w2 = 6232.775, dw = -0.08141, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 39, w1 = 6297.146, w2 = 6164.293, dw = -0.08052, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 40, w1 = 6228.707, w2 = 6097.299, dw = -0.07964, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 41, w1 = 6161.739, w2 = 6031.747, dw = -0.07878, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 42, w1 = 6096.197, w2 = 5967.589, dw = -0.07794, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 43, w1 = 6032.034, w2 = 5904.782, dw = -0.07712, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 44, w1 = 5969.209, w2 = 5843.283, dw = -0.07632, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 45, w1 = 5907.678, w2 = 5783.053, dw = -0.07553, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 46, w1 = 5847.404, w2 = 5724.052, dw = -0.07476, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 47, w1 = 5788.347, w2 = 5666.243, dw = -0.074, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 48, w1 = 5730.471, w2 = 5609.591, dw = -0.07326, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 49, w1 = 5673.741, w2 = 5554.06, dw = -0.07253, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 50, w1 = 5618.124, w2 = 5499.618, dw = -0.07182, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 51, w1 = 5563.587, w2 = 5446.234, dw = -0.07112, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 52, w1 = 5510.098, w2 = 5393.876, dw = -0.07044, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 53, w1 = 5457.629, w2 = 5342.515, dw = -0.06977, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 54, w1 = 5406.15, w2 = 5292.124, dw = -0.06911, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 55, w1 = 5355.632, w2 = 5242.675, dw = -0.06846, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 56, w1 = 5306.051, w2 = 5194.142, dw = -0.06782, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 57, w1 = 5257.379, w2 = 5146.499, dw = -0.0672, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 58, w1 = 5209.592, w2 = 5099.722, dw = -0.06659, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 59, w1 = 5162.667, w2 = 5053.789, dw = -0.06599, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 60, w1 = 5116.579, w2 = 5008.676, dw = -0.0654, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 61, w1 = 5071.308, w2 = 4964.361, dw = -0.06482, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 62, w1 = 5026.83, w2 = 4920.824, dw = -0.06425, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 63, w1 = 4983.126, w2 = 4878.044, dw = -0.06369, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 64, w1 = 4940.176, w2 = 4836.002, dw = -0.06314, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 65, w1 = 4897.96, w2 = 4794.678, dw = -0.06259, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 66, w1 = 4856.46, w2 = 4754.055, dw = -0.06206, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 67, w1 = 4815.657, w2 = 4714.115, dw = -0.06154, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 68, w1 = 4775.535, w2 = 4674.841, dw = -0.06103, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 69, w1 = 4736.075, w2 = 4636.216, dw = -0.06052, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 70, w1 = 4697.263, w2 = 4598.224, dw = -0.06002, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 71, w1 = 4659.082, w2 = 4560.85, dw = -0.05953, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 72, w1 = 4621.517, w2 = 4524.078, dw = -0.05905, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 73, w1 = 4584.553, w2 = 4487.895, dw = -0.05858, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 74, w1 = 4548.176, w2 = 4452.287, dw = -0.05811, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 75, w1 = 4512.372, w2 = 4417.239, dw = -0.05766, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 76, w1 = 4477.128, w2 = 4382.739, dw = -0.05721, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 77, w1 = 4442.43, w2 = 4348.773, dw = -0.05676, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 78, w1 = 4408.266, w2 = 4315.331, dw = -0.05632, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 79, w1 = 4374.624, w2 = 4282.399, dw = -0.05589, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 80, w1 = 4341.492, w2 = 4249.965, dw = -0.05547, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 81, w1 = 4308.858, w2 = 4218.02, dw = -0.05505, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 82, w1 = 4276.711, w2 = 4186.551, dw = -0.05464, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 83, w1 = 4245.041, w2 = 4155.548, dw = -0.05424, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 84, w1 = 4213.837, w2 = 4125.002, dw = -0.05384, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 85, w1 = 4183.088, w2 = 4094.901, dw = -0.05345, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 86, w1 = 4152.786, w2 = 4065.236, dw = -0.05306, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 87, w1 = 4122.919, w2 = 4035.998, dw = -0.05268, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 88, w1 = 4093.48, w2 = 4007.178, dw = -0.0523, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 89, w1 = 4064.458, w2 = 3978.766, dw = -0.05193, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 90, w1 = 4035.845, w2 = 3950.755, dw = -0.05157, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 91, w1 = 4007.632, w2 = 3923.135, dw = -0.05121, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 92, w1 = 3979.812, w2 = 3895.898, dw = -0.05086, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 93, w1 = 3952.375, w2 = 3869.038, dw = -0.05051, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 94, w1 = 3925.315, w2 = 3842.545, dw = -0.05016, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 95, w1 = 3898.623, w2 = 3816.412, dw = -0.04982, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 96, w1 = 3872.292, w2 = 3790.632, dw = -0.04949, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 97, w1 = 3846.315, w2 = 3765.198, dw = -0.04916, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 98, w1 = 3820.684, w2 = 3740.103, dw = -0.04884, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 99, w1 = 3795.393, w2 = 3715.341, dw = -0.04852, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 100, w1 = 3770.435, w2 = 3690.903, dw = -0.0482, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 101, w1 = 3745.803, w2 = 3666.785, dw = -0.04789, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 102, w1 = 3721.492, w2 = 3642.981, dw = -0.04758, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 103, w1 = 3697.495, w2 = 3619.483, dw = -0.04728, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 104, w1 = 3673.805, w2 = 3596.286, dw = -0.04698, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 105, w1 = 3650.418, w2 = 3573.384, dw = -0.04669, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 106, w1 = 3627.327, w2 = 3550.772, dw = -0.0464, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 107, w1 = 3604.527, w2 = 3528.444, dw = -0.04611, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 108, w1 = 3582.012, w2 = 3506.395, dw = -0.04583, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 109, w1 = 3559.777, w2 = 3484.619, dw = -0.04555, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 110, w1 = 3537.817, w2 = 3463.112, dw = -0.04528, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 111, w1 = 3516.126, w2 = 3441.869, dw = -0.045, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 112, w1 = 3494.701, w2 = 3420.884, dw = -0.04474, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 113, w1 = 3473.535, w2 = 3400.153, dw = -0.04447, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 114, w1 = 3452.625, w2 = 3379.672, dw = -0.04421, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 115, w1 = 3431.965, w2 = 3359.436, dw = -0.04396, nw = 1651 EchelleThAr.0023.ec.fits: REFSPEC1 = 'EchelleThAr.0023.ec 1.' zEchelleThAr.0023.ec.fits: ap = 1, w1 = 10811.57, w2 = 10583.29, dw = -0.13835, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 2, w1 = 10611.37, w2 = 10387.33, dw = -0.13578, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 3, w1 = 10418.44, w2 = 10198.49, dw = -0.13331, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 4, w1 = 10232.41, w2 = 10016.4, dw = -0.13092, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 5, w1 = 10052.91, w2 = 9840.691, dw = -0.12862, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 6, w1 = 9879.592, w2 = 9671.045, dw = -0.12639, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 7, w1 = 9712.152, w2 = 9507.148, dw = -0.12424, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 8, w1 = 9550.294, w2 = 9348.715, dw = -0.12217, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 9, w1 = 9393.743, w2 = 9195.475, dw = -0.12016, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 10, w1 = 9242.242, w2 = 9047.179, dw = -0.11822, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 11, w1 = 9095.55, w2 = 8903.589, dw = -0.11634, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 12, w1 = 8953.443, w2 = 8764.487, dw = -0.11452, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 13, w1 = 8815.708, w2 = 8629.664, dw = -0.11275, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 14, w1 = 8682.147, w2 = 8498.926, dw = -0.11104, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 15, w1 = 8552.574, w2 = 8372.091, dw = -0.10938, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 16, w1 = 8426.811, w2 = 8248.986, dw = -0.10777, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 17, w1 = 8304.694, w2 = 8129.449, dw = -0.10621, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 18, w1 = 8186.065, w2 = 8013.327, dw = -0.10469, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 19, w1 = 8070.779, w2 = 7900.476, dw = -0.10321, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 20, w1 = 7958.695, w2 = 7790.759, dw = -0.10178, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 21, w1 = 7849.681, w2 = 7684.048, dw = -0.10038, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 22, w1 = 7743.614, w2 = 7580.222, dw = -0.09903, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 23, w1 = 7640.376, w2 = 7479.163, dw = -0.0977, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 24, w1 = 7539.854, w2 = 7380.765, dw = -0.09642, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 25, w1 = 7441.944, w2 = 7284.921, dw = -0.09516, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 26, w1 = 7346.543, w2 = 7191.536, dw = -0.09394, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 27, w1 = 7253.559, w2 = 7100.514, dw = -0.09275, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 28, w1 = 7162.898, w2 = 7011.768, dw = -0.09159, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 29, w1 = 7074.477, w2 = 6925.213, dw = -0.09046, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 30, w1 = 6988.212, w2 = 6840.77, dw = -0.08936, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 31, w1 = 6904.025, w2 = 6758.361, dw = -0.08828, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 32, w1 = 6821.844, w2 = 6677.914, dw = -0.08723, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 33, w1 = 6741.595, w2 = 6599.36, dw = -0.0862, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 34, w1 = 6663.213, w2 = 6522.633, dw = -0.0852, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 35, w1 = 6586.634, w2 = 6447.67, dw = -0.08422, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 36, w1 = 6511.794, w2 = 6374.411, dw = -0.08326, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 37, w1 = 6438.636, w2 = 6302.797, dw = -0.08233, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 38, w1 = 6367.104, w2 = 6232.776, dw = -0.08141, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 39, w1 = 6297.145, w2 = 6164.293, dw = -0.08052, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 40, w1 = 6228.706, w2 = 6097.3, dw = -0.07964, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 41, w1 = 6161.739, w2 = 6031.747, dw = -0.07878, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 42, w1 = 6096.197, w2 = 5967.589, dw = -0.07794, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 43, w1 = 6032.034, w2 = 5904.782, dw = -0.07712, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 44, w1 = 5969.209, w2 = 5843.283, dw = -0.07632, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 45, w1 = 5907.679, w2 = 5783.052, dw = -0.07553, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 46, w1 = 5847.404, w2 = 5724.051, dw = -0.07476, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 47, w1 = 5788.348, w2 = 5666.242, dw = -0.074, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 48, w1 = 5730.472, w2 = 5609.589, dw = -0.07326, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 49, w1 = 5673.743, w2 = 5554.058, dw = -0.07254, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 50, w1 = 5618.126, w2 = 5499.617, dw = -0.07182, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 51, w1 = 5563.589, w2 = 5446.232, dw = -0.07113, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 52, w1 = 5510.101, w2 = 5393.874, dw = -0.07044, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 53, w1 = 5457.631, w2 = 5342.514, dw = -0.06977, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 54, w1 = 5406.152, w2 = 5292.122, dw = -0.06911, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 55, w1 = 5355.635, w2 = 5242.673, dw = -0.06846, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 56, w1 = 5306.054, w2 = 5194.14, dw = -0.06783, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 57, w1 = 5257.383, w2 = 5146.497, dw = -0.0672, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 58, w1 = 5209.596, w2 = 5099.721, dw = -0.06659, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 59, w1 = 5162.671, w2 = 5053.787, dw = -0.06599, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 60, w1 = 5116.583, w2 = 5008.674, dw = -0.0654, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 61, w1 = 5071.312, w2 = 4964.36, dw = -0.06482, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 62, w1 = 5026.835, w2 = 4920.823, dw = -0.06425, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 63, w1 = 4983.131, w2 = 4878.043, dw = -0.06369, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 64, w1 = 4940.181, w2 = 4836.001, dw = -0.06314, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 65, w1 = 4897.966, w2 = 4794.678, dw = -0.0626, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 66, w1 = 4856.466, w2 = 4754.056, dw = -0.06207, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 67, w1 = 4815.663, w2 = 4714.116, dw = -0.06154, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 68, w1 = 4775.541, w2 = 4674.842, dw = -0.06103, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 69, w1 = 4736.082, w2 = 4636.217, dw = -0.06052, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 70, w1 = 4697.27, w2 = 4598.226, dw = -0.06003, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 71, w1 = 4659.09, w2 = 4560.852, dw = -0.05954, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 72, w1 = 4621.525, w2 = 4524.082, dw = -0.05906, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 73, w1 = 4584.562, w2 = 4487.9, dw = -0.05858, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 74, w1 = 4548.185, w2 = 4452.292, dw = -0.05812, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 75, w1 = 4512.382, w2 = 4417.245, dw = -0.05766, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 76, w1 = 4477.138, w2 = 4382.745, dw = -0.05721, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 77, w1 = 4442.44, w2 = 4348.781, dw = -0.05676, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 78, w1 = 4408.277, w2 = 4315.339, dw = -0.05633, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 79, w1 = 4374.635, w2 = 4282.408, dw = -0.0559, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 80, w1 = 4341.504, w2 = 4249.976, dw = -0.05547, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 81, w1 = 4308.87, w2 = 4218.032, dw = -0.05505, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 82, w1 = 4276.725, w2 = 4186.564, dw = -0.05464, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 83, w1 = 4245.055, w2 = 4155.563, dw = -0.05424, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 84, w1 = 4213.851, w2 = 4125.017, dw = -0.05384, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 85, w1 = 4183.104, w2 = 4094.918, dw = -0.05345, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 86, w1 = 4152.802, w2 = 4065.255, dw = -0.05306, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 87, w1 = 4122.936, w2 = 4036.018, dw = -0.05268, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 88, w1 = 4093.497, w2 = 4007.2, dw = -0.0523, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 89, w1 = 4064.476, w2 = 3978.79, dw = -0.05193, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 90, w1 = 4035.864, w2 = 3950.78, dw = -0.05157, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 91, w1 = 4007.653, w2 = 3923.162, dw = -0.05121, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 92, w1 = 3979.833, w2 = 3895.927, dw = -0.05085, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 93, w1 = 3952.398, w2 = 3869.068, dw = -0.0505, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 94, w1 = 3925.339, w2 = 3842.577, dw = -0.05016, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 95, w1 = 3898.648, w2 = 3816.447, dw = -0.04982, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 96, w1 = 3872.318, w2 = 3790.669, dw = -0.04948, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 97, w1 = 3846.342, w2 = 3765.237, dw = -0.04915, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 98, w1 = 3820.712, w2 = 3740.145, dw = -0.04883, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 99, w1 = 3795.423, w2 = 3715.384, dw = -0.04851, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 100, w1 = 3770.466, w2 = 3690.95, dw = -0.04819, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 101, w1 = 3745.836, w2 = 3666.834, dw = -0.04788, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 102, w1 = 3721.526, w2 = 3643.032, dw = -0.04757, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 103, w1 = 3697.531, w2 = 3619.537, dw = -0.04727, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 104, w1 = 3673.843, w2 = 3596.343, dw = -0.04697, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 105, w1 = 3650.457, w2 = 3573.444, dw = -0.04667, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 106, w1 = 3627.368, w2 = 3550.835, dw = -0.04638, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 107, w1 = 3604.569, w2 = 3528.51, dw = -0.0461, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 108, w1 = 3582.056, w2 = 3506.464, dw = -0.04581, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 109, w1 = 3559.823, w2 = 3484.692, dw = -0.04553, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 110, w1 = 3537.865, w2 = 3463.188, dw = -0.04526, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 111, w1 = 3516.177, w2 = 3441.948, dw = -0.04499, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 112, w1 = 3494.753, w2 = 3420.967, dw = -0.04472, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 113, w1 = 3473.59, w2 = 3400.24, dw = -0.04445, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 114, w1 = 3452.682, w2 = 3379.762, dw = -0.04419, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 115, w1 = 3432.025, w2 = 3359.529, dw = -0.04394, nw = 1651 EchelleThAr.0027.ec.fits: REFSPEC1 = 'EchelleThAr.0027.ec 1.' zEchelleThAr.0027.ec.fits: ap = 1, w1 = 10811.61, w2 = 10583.29, dw = -0.13837, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 2, w1 = 10611.4, w2 = 10387.33, dw = -0.1358, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 3, w1 = 10418.48, w2 = 10198.49, dw = -0.13332, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 4, w1 = 10232.44, w2 = 10016.4, dw = -0.13094, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 5, w1 = 10052.93, w2 = 9840.69, dw = -0.12863, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 6, w1 = 9879.616, w2 = 9671.042, dw = -0.12641, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 7, w1 = 9712.174, w2 = 9507.145, dw = -0.12426, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 8, w1 = 9550.313, w2 = 9348.711, dw = -0.12218, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 9, w1 = 9393.76, w2 = 9195.471, dw = -0.12018, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 10, w1 = 9242.257, w2 = 9047.173, dw = -0.11823, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 11, w1 = 9095.564, w2 = 8903.584, dw = -0.11635, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 12, w1 = 8953.455, w2 = 8764.481, dw = -0.11453, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 13, w1 = 8815.718, w2 = 8629.658, dw = -0.11276, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 14, w1 = 8682.156, w2 = 8498.92, dw = -0.11105, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 15, w1 = 8552.581, w2 = 8372.085, dw = -0.10939, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 16, w1 = 8426.817, w2 = 8248.98, dw = -0.10778, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 17, w1 = 8304.698, w2 = 8129.443, dw = -0.10622, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 18, w1 = 8186.069, w2 = 8013.321, dw = -0.1047, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 19, w1 = 8070.781, w2 = 7900.471, dw = -0.10322, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 20, w1 = 7958.696, w2 = 7790.754, dw = -0.10178, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 21, w1 = 7849.682, w2 = 7684.044, dw = -0.10039, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 22, w1 = 7743.614, w2 = 7580.218, dw = -0.09903, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 23, w1 = 7640.375, w2 = 7479.16, dw = -0.09771, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 24, w1 = 7539.853, w2 = 7380.761, dw = -0.09642, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 25, w1 = 7441.942, w2 = 7284.919, dw = -0.09517, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 26, w1 = 7346.541, w2 = 7191.534, dw = -0.09394, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 27, w1 = 7253.556, w2 = 7100.513, dw = -0.09275, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 28, w1 = 7162.895, w2 = 7011.767, dw = -0.09159, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 29, w1 = 7074.473, w2 = 6925.213, dw = -0.09046, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 30, w1 = 6988.208, w2 = 6840.769, dw = -0.08936, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 31, w1 = 6904.022, w2 = 6758.361, dw = -0.08828, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 32, w1 = 6821.84, w2 = 6677.915, dw = -0.08723, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 33, w1 = 6741.592, w2 = 6599.361, dw = -0.0862, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 34, w1 = 6663.21, w2 = 6522.634, dw = -0.0852, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 35, w1 = 6586.63, w2 = 6447.672, dw = -0.08422, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 36, w1 = 6511.79, w2 = 6374.413, dw = -0.08326, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 37, w1 = 6438.633, w2 = 6302.8, dw = -0.08232, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 38, w1 = 6367.101, w2 = 6232.779, dw = -0.08141, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 39, w1 = 6297.141, w2 = 6164.297, dw = -0.08051, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 40, w1 = 6228.703, w2 = 6097.303, dw = -0.07964, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 41, w1 = 6161.736, w2 = 6031.75, dw = -0.07878, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 42, w1 = 6096.194, w2 = 5967.593, dw = -0.07794, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 43, w1 = 6032.032, w2 = 5904.785, dw = -0.07712, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 44, w1 = 5969.206, w2 = 5843.287, dw = -0.07631, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 45, w1 = 5907.676, w2 = 5783.056, dw = -0.07553, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 46, w1 = 5847.402, w2 = 5724.055, dw = -0.07476, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 47, w1 = 5788.346, w2 = 5666.246, dw = -0.074, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 48, w1 = 5730.471, w2 = 5609.593, dw = -0.07326, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 49, w1 = 5673.742, w2 = 5554.062, dw = -0.07253, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 50, w1 = 5618.125, w2 = 5499.62, dw = -0.07182, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 51, w1 = 5563.588, w2 = 5446.235, dw = -0.07112, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 52, w1 = 5510.1, w2 = 5393.877, dw = -0.07044, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 53, w1 = 5457.631, w2 = 5342.516, dw = -0.06977, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 54, w1 = 5406.152, w2 = 5292.125, dw = -0.06911, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 55, w1 = 5355.635, w2 = 5242.675, dw = -0.06846, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 56, w1 = 5306.054, w2 = 5194.142, dw = -0.06783, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 57, w1 = 5257.383, w2 = 5146.498, dw = -0.0672, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 58, w1 = 5209.597, w2 = 5099.722, dw = -0.06659, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 59, w1 = 5162.671, w2 = 5053.788, dw = -0.06599, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 60, w1 = 5116.584, w2 = 5008.674, dw = -0.0654, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 61, w1 = 5071.313, w2 = 4964.359, dw = -0.06482, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 62, w1 = 5026.835, w2 = 4920.822, dw = -0.06425, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 63, w1 = 4983.132, w2 = 4878.041, dw = -0.06369, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 64, w1 = 4940.182, w2 = 4835.999, dw = -0.06314, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 65, w1 = 4897.966, w2 = 4794.675, dw = -0.0626, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 66, w1 = 4856.466, w2 = 4754.052, dw = -0.06207, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 67, w1 = 4815.664, w2 = 4714.111, dw = -0.06155, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 68, w1 = 4775.541, w2 = 4674.836, dw = -0.06103, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 69, w1 = 4736.082, w2 = 4636.211, dw = -0.06053, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 70, w1 = 4697.27, w2 = 4598.218, dw = -0.06003, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 71, w1 = 4659.089, w2 = 4560.844, dw = -0.05954, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 72, w1 = 4621.523, w2 = 4524.072, dw = -0.05906, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 73, w1 = 4584.559, w2 = 4487.889, dw = -0.05859, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 74, w1 = 4548.182, w2 = 4452.28, dw = -0.05812, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 75, w1 = 4512.378, w2 = 4417.232, dw = -0.05766, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 76, w1 = 4477.133, w2 = 4382.732, dw = -0.05721, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 77, w1 = 4442.435, w2 = 4348.766, dw = -0.05677, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 78, w1 = 4408.271, w2 = 4315.323, dw = -0.05633, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 79, w1 = 4374.629, w2 = 4282.391, dw = -0.0559, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 80, w1 = 4341.496, w2 = 4249.958, dw = -0.05548, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 81, w1 = 4308.862, w2 = 4218.012, dw = -0.05506, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 82, w1 = 4276.714, w2 = 4186.544, dw = -0.05465, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 83, w1 = 4245.044, w2 = 4155.541, dw = -0.05424, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 84, w1 = 4213.839, w2 = 4124.994, dw = -0.05385, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 85, w1 = 4183.09, w2 = 4094.894, dw = -0.05345, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 86, w1 = 4152.786, w2 = 4065.229, dw = -0.05306, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 87, w1 = 4122.919, w2 = 4035.992, dw = -0.05268, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 88, w1 = 4093.478, w2 = 4007.171, dw = -0.05231, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 89, w1 = 4064.456, w2 = 3978.76, dw = -0.05194, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 90, w1 = 4035.842, w2 = 3950.749, dw = -0.05157, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 91, w1 = 4007.628, w2 = 3923.13, dw = -0.05121, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 92, w1 = 3979.807, w2 = 3895.894, dw = -0.05086, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 93, w1 = 3952.369, w2 = 3869.034, dw = -0.05051, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 94, w1 = 3925.307, w2 = 3842.541, dw = -0.05016, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 95, w1 = 3898.614, w2 = 3816.409, dw = -0.04982, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 96, w1 = 3872.282, w2 = 3790.63, dw = -0.04949, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 97, w1 = 3846.303, w2 = 3765.197, dw = -0.04915, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 98, w1 = 3820.671, w2 = 3740.103, dw = -0.04883, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 99, w1 = 3795.378, w2 = 3715.342, dw = -0.04851, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 100, w1 = 3770.419, w2 = 3690.906, dw = -0.04819, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 101, w1 = 3745.785, w2 = 3666.789, dw = -0.04788, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 102, w1 = 3721.472, w2 = 3642.986, dw = -0.04757, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 103, w1 = 3697.473, w2 = 3619.489, dw = -0.04726, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 104, w1 = 3673.782, w2 = 3596.294, dw = -0.04696, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 105, w1 = 3650.393, w2 = 3573.393, dw = -0.04667, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 106, w1 = 3627.3, w2 = 3550.783, dw = -0.04637, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 107, w1 = 3604.497, w2 = 3528.457, dw = -0.04609, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 108, w1 = 3581.98, w2 = 3506.41, dw = -0.0458, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 109, w1 = 3559.743, w2 = 3484.636, dw = -0.04552, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 110, w1 = 3537.78, w2 = 3463.131, dw = -0.04524, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 111, w1 = 3516.088, w2 = 3441.89, dw = -0.04497, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 112, w1 = 3494.66, w2 = 3420.908, dw = -0.0447, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 113, w1 = 3473.492, w2 = 3400.18, dw = -0.04443, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 114, w1 = 3452.579, w2 = 3379.701, dw = -0.04417, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 115, w1 = 3431.917, w2 = 3359.468, dw = -0.04391, nw = 1651 EchelleThAr.0034.ec.fits: REFSPEC1 = 'EchelleThAr.0034.ec 1.' zEchelleThAr.0034.ec.fits: ap = 1, w1 = 10811.45, w2 = 10583.32, dw = -0.13826, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 2, w1 = 10611.26, w2 = 10387.35, dw = -0.13571, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 3, w1 = 10418.36, w2 = 10198.51, dw = -0.13324, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 4, w1 = 10232.34, w2 = 10016.41, dw = -0.13087, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 5, w1 = 10052.85, w2 = 9840.698, dw = -0.12858, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 6, w1 = 9879.544, w2 = 9671.048, dw = -0.12636, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 7, w1 = 9712.114, w2 = 9507.148, dw = -0.12422, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 8, w1 = 9550.264, w2 = 9348.711, dw = -0.12215, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 9, w1 = 9393.72, w2 = 9195.469, dw = -0.12015, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 10, w1 = 9242.225, w2 = 9047.17, dw = -0.11822, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 11, w1 = 9095.539, w2 = 8903.579, dw = -0.11634, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 12, w1 = 8953.435, w2 = 8764.475, dw = -0.11452, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 13, w1 = 8815.704, w2 = 8629.651, dw = -0.11276, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 14, w1 = 8682.146, w2 = 8498.912, dw = -0.11105, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 15, w1 = 8552.574, w2 = 8372.076, dw = -0.10939, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 16, w1 = 8426.812, w2 = 8248.971, dw = -0.10778, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 17, w1 = 8304.696, w2 = 8129.434, dw = -0.10622, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 18, w1 = 8186.068, w2 = 8013.312, dw = -0.1047, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 19, w1 = 8070.782, w2 = 7900.461, dw = -0.10322, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 20, w1 = 7958.697, w2 = 7790.744, dw = -0.10179, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 21, w1 = 7849.684, w2 = 7684.034, dw = -0.10039, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 22, w1 = 7743.616, w2 = 7580.208, dw = -0.09904, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 23, w1 = 7640.377, w2 = 7479.15, dw = -0.09771, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 24, w1 = 7539.854, w2 = 7380.752, dw = -0.09643, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 25, w1 = 7441.942, w2 = 7284.91, dw = -0.09517, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 26, w1 = 7346.541, w2 = 7191.525, dw = -0.09395, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 27, w1 = 7253.555, w2 = 7100.504, dw = -0.09276, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 28, w1 = 7162.894, w2 = 7011.759, dw = -0.0916, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 29, w1 = 7074.471, w2 = 6925.205, dw = -0.09046, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 30, w1 = 6988.205, w2 = 6840.762, dw = -0.08936, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 31, w1 = 6904.017, w2 = 6758.354, dw = -0.08828, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 32, w1 = 6821.835, w2 = 6677.909, dw = -0.08723, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 33, w1 = 6741.586, w2 = 6599.356, dw = -0.0862, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 34, w1 = 6663.203, w2 = 6522.63, dw = -0.0852, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 35, w1 = 6586.622, w2 = 6447.667, dw = -0.08422, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 36, w1 = 6511.782, w2 = 6374.409, dw = -0.08326, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 37, w1 = 6438.624, w2 = 6302.797, dw = -0.08232, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 38, w1 = 6367.092, w2 = 6232.776, dw = -0.0814, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 39, w1 = 6297.132, w2 = 6164.294, dw = -0.08051, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 40, w1 = 6228.692, w2 = 6097.301, dw = -0.07963, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 41, w1 = 6161.725, w2 = 6031.749, dw = -0.07877, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 42, w1 = 6096.183, w2 = 5967.592, dw = -0.07793, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 43, w1 = 6032.021, w2 = 5904.785, dw = -0.07711, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 44, w1 = 5969.196, w2 = 5843.287, dw = -0.07631, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 45, w1 = 5907.666, w2 = 5783.057, dw = -0.07552, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 46, w1 = 5847.392, w2 = 5724.056, dw = -0.07475, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 47, w1 = 5788.336, w2 = 5666.247, dw = -0.07399, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 48, w1 = 5730.462, w2 = 5609.595, dw = -0.07325, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 49, w1 = 5673.733, w2 = 5554.064, dw = -0.07253, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 50, w1 = 5618.117, w2 = 5499.622, dw = -0.07182, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 51, w1 = 5563.581, w2 = 5446.237, dw = -0.07112, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 52, w1 = 5510.094, w2 = 5393.88, dw = -0.07043, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 53, w1 = 5457.626, w2 = 5342.519, dw = -0.06976, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 54, w1 = 5406.148, w2 = 5292.128, dw = -0.0691, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 55, w1 = 5355.632, w2 = 5242.678, dw = -0.06846, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 56, w1 = 5306.052, w2 = 5194.144, dw = -0.06782, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 57, w1 = 5257.381, w2 = 5146.501, dw = -0.0672, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 58, w1 = 5209.596, w2 = 5099.724, dw = -0.06659, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 59, w1 = 5162.672, w2 = 5053.791, dw = -0.06599, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 60, w1 = 5116.585, w2 = 5008.677, dw = -0.0654, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 61, w1 = 5071.315, w2 = 4964.362, dw = -0.06482, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 62, w1 = 5026.839, w2 = 4920.824, dw = -0.06425, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 63, w1 = 4983.136, w2 = 4878.044, dw = -0.06369, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 64, w1 = 4940.187, w2 = 4836.001, dw = -0.06314, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 65, w1 = 4897.971, w2 = 4794.677, dw = -0.0626, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 66, w1 = 4856.472, w2 = 4754.053, dw = -0.06207, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 67, w1 = 4815.67, w2 = 4714.113, dw = -0.06155, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 68, w1 = 4775.548, w2 = 4674.838, dw = -0.06104, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 69, w1 = 4736.088, w2 = 4636.212, dw = -0.06053, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 70, w1 = 4697.276, w2 = 4598.219, dw = -0.06003, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 71, w1 = 4659.095, w2 = 4560.844, dw = -0.05955, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 72, w1 = 4621.529, w2 = 4524.072, dw = -0.05906, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 73, w1 = 4584.565, w2 = 4487.889, dw = -0.05859, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 74, w1 = 4548.187, w2 = 4452.279, dw = -0.05813, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 75, w1 = 4512.381, w2 = 4417.231, dw = -0.05767, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 76, w1 = 4477.135, w2 = 4382.73, dw = -0.05722, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 77, w1 = 4442.435, w2 = 4348.764, dw = -0.05677, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 78, w1 = 4408.269, w2 = 4315.321, dw = -0.05633, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 79, w1 = 4374.624, w2 = 4282.388, dw = -0.0559, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 80, w1 = 4341.488, w2 = 4249.954, dw = -0.05548, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 81, w1 = 4308.851, w2 = 4218.008, dw = -0.05506, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 82, w1 = 4276.7, w2 = 4186.539, dw = -0.05464, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 83, w1 = 4245.026, w2 = 4155.536, dw = -0.05424, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 84, w1 = 4213.816, w2 = 4124.988, dw = -0.05384, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 85, w1 = 4183.062, w2 = 4094.887, dw = -0.05344, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 86, w1 = 4152.754, w2 = 4065.222, dw = -0.05305, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 87, w1 = 4122.88, w2 = 4035.984, dw = -0.05266, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 88, w1 = 4093.434, w2 = 4007.163, dw = -0.05229, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 89, w1 = 4064.404, w2 = 3978.752, dw = -0.05191, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 90, w1 = 4035.783, w2 = 3950.74, dw = -0.05154, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 91, w1 = 4007.561, w2 = 3923.12, dw = -0.05118, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 92, w1 = 3979.731, w2 = 3895.883, dw = -0.05082, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 93, w1 = 3952.284, w2 = 3869.023, dw = -0.05046, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 94, w1 = 3925.213, w2 = 3842.53, dw = -0.05011, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 95, w1 = 3898.509, w2 = 3816.397, dw = -0.04976, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 96, w1 = 3872.165, w2 = 3790.618, dw = -0.04942, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 97, w1 = 3846.174, w2 = 3765.185, dw = -0.04908, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 98, w1 = 3820.53, w2 = 3740.09, dw = -0.04875, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 99, w1 = 3795.224, w2 = 3715.328, dw = -0.04842, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 100, w1 = 3770.25, w2 = 3690.892, dw = -0.0481, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 101, w1 = 3745.602, w2 = 3666.775, dw = -0.04777, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 102, w1 = 3721.273, w2 = 3642.971, dw = -0.04746, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 103, w1 = 3697.257, w2 = 3619.474, dw = -0.04714, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 104, w1 = 3673.548, w2 = 3596.278, dw = -0.04683, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 105, w1 = 3650.14, w2 = 3573.378, dw = -0.04652, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 106, w1 = 3627.028, w2 = 3550.767, dw = -0.04622, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 107, w1 = 3604.205, w2 = 3528.441, dw = -0.04592, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 108, w1 = 3581.666, w2 = 3506.393, dw = -0.04562, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 109, w1 = 3559.407, w2 = 3484.62, dw = -0.04533, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 110, w1 = 3537.421, w2 = 3463.115, dw = -0.04503, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 111, w1 = 3515.704, w2 = 3441.874, dw = -0.04475, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 112, w1 = 3494.25, w2 = 3420.891, dw = -0.04446, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 113, w1 = 3473.056, w2 = 3400.163, dw = -0.04418, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 114, w1 = 3452.115, w2 = 3379.685, dw = -0.0439, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 115, w1 = 3431.425, w2 = 3359.451, dw = -0.04362, nw = 1651 Continuum fitting the spectra... Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Combining spectra... Apr 27 14:45: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 150407.0021.ec.fits[ 1] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 2] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 3] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 4] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 5] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 6] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 7] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 8] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 9] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 10] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 11] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 12] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 13] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 14] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 15] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 16] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 17] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 18] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 19] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 20] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 21] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 22] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 23] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 24] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 25] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 26] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 27] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 28] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 29] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 30] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 31] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 32] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 33] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 34] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 35] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 36] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 37] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 38] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 39] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 40] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 41] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 42] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 43] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 44] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 45] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 46] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 47] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 48] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 49] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 50] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 51] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 52] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 53] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 54] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 55] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 56] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 57] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 58] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 59] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 60] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 61] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 62] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 63] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 64] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 65] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 66] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 67] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 68] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 69] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 70] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 71] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 72] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 73] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 74] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 75] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 76] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 77] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 78] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 79] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 80] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 81] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 82] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 83] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 84] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 85] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 86] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 87] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 88] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 89] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 90] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 91] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 92] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 93] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 94] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 95] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 96] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 97] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 98] 1.6 1.000 0. 0.009 150407.0021.ec.fits[ 99] 1.6 1.000 0. 0.009 150407.0021.ec.fits[100] 1.6 1.000 0. 0.009 150407.0021.ec.fits[101] 1.6 1.000 0. 0.009 150407.0021.ec.fits[102] 1.6 1.000 0. 0.009 150407.0021.ec.fits[103] 1.6 1.000 0. 0.009 150407.0021.ec.fits[104] 1.6 1.000 0. 0.009 150407.0021.ec.fits[105] 1.6 1.000 0. 0.009 150407.0021.ec.fits[106] 1.6 1.000 0. 0.009 150407.0021.ec.fits[107] 1.6 1.000 0. 0.009 150407.0021.ec.fits[108] 1.6 1.000 0. 0.009 150407.0021.ec.fits[109] 1.6 1.000 0. 0.009 150407.0021.ec.fits[110] 1.6 1.000 0. 0.009 150407.0021.ec.fits[111] 1.6 1.000 0. 0.009 150407.0021.ec.fits[112] 1.6 1.000 0. 0.009 150407.0021.ec.fits[113] 1.6 1.000 0. 0.009 150407.0021.ec.fits[114] 1.6 1.000 0. 0.009 150407.0021.ec.fits[115] 1.6 1.000 0. 0.009 Output image = sum150407.0021.ec.fits, ncombine = 115, exptime = 186.0357 w1 = 3359.453, w2 = 10811.57, dw = 0.04395334, nw = 169547., dtype = 0 Apr 27 14:46: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 150407.0022.ec.fits[ 1] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 2] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 3] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 4] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 5] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 6] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 7] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 8] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 9] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 10] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 11] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 12] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 13] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 14] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 15] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 16] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 17] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 18] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 19] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 20] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 21] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 22] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 23] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 24] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 25] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 26] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 27] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 28] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 29] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 30] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 31] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 32] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 33] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 34] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 35] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 36] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 37] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 38] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 39] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 40] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 41] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 42] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 43] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 44] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 45] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 46] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 47] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 48] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 49] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 50] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 51] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 52] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 53] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 54] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 55] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 56] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 57] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 58] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 59] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 60] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 61] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 62] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 63] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 64] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 65] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 66] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 67] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 68] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 69] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 70] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 71] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 72] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 73] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 74] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 75] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 76] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 77] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 78] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 79] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 80] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 81] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 82] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 83] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 84] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 85] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 86] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 87] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 88] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 89] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 90] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 91] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 92] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 93] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 94] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 95] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 96] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 97] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 98] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[ 99] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[100] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[101] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[102] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[103] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[104] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[105] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[106] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[107] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[108] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[109] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[110] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[111] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[112] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[113] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[114] 1500.0 1.000 0. 0.009 150407.0022.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum150407.0022.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.497, w2 = 10811.57, dw = 0.04394376, nw = 169583., dtype = 0 Apr 27 14:46: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 150407.0024.ec.fits[ 1] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 2] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 3] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 4] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 5] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 6] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 7] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 8] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 9] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 10] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 11] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 12] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 13] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 14] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 15] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 16] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 17] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 18] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 19] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 20] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 21] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 22] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 23] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 24] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 25] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 26] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 27] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 28] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 29] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 30] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 31] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 32] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 33] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 34] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 35] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 36] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 37] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 38] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 39] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 40] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 41] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 42] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 43] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 44] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 45] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 46] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 47] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 48] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 49] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 50] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 51] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 52] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 53] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 54] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 55] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 56] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 57] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 58] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 59] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 60] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 61] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 62] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 63] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 64] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 65] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 66] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 67] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 68] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 69] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 70] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 71] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 72] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 73] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 74] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 75] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 76] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 77] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 78] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 79] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 80] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 81] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 82] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 83] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 84] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 85] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 86] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 87] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 88] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 89] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 90] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 91] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 92] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 93] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 94] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 95] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 96] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 97] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 98] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[ 99] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[100] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[101] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[102] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[103] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[104] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[105] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[106] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[107] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[108] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[109] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[110] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[111] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[112] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[113] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[114] 1500.0 1.000 0. 0.009 150407.0024.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum150407.0024.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.511, w2 = 10811.58, dw = 0.04392847, nw = 169642., dtype = 0 Apr 27 14:47: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 150407.0025.ec.fits[ 1] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 2] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 3] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 4] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 5] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 6] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 7] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 8] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 9] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 10] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 11] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 12] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 13] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 14] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 15] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 16] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 17] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 18] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 19] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 20] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 21] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 22] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 23] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 24] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 25] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 26] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 27] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 28] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 29] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 30] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 31] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 32] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 33] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 34] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 35] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 36] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 37] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 38] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 39] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 40] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 41] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 42] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 43] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 44] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 45] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 46] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 47] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 48] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 49] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 50] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 51] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 52] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 53] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 54] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 55] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 56] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 57] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 58] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 59] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 60] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 61] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 62] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 63] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 64] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 65] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 66] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 67] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 68] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 69] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 70] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 71] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 72] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 73] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 74] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 75] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 76] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 77] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 78] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 79] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 80] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 81] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 82] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 83] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 84] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 85] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 86] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 87] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 88] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 89] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 90] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 91] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 92] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 93] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 94] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 95] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 96] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 97] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 98] 900.0 1.000 0. 0.009 150407.0025.ec.fits[ 99] 900.0 1.000 0. 0.009 150407.0025.ec.fits[100] 900.0 1.000 0. 0.009 150407.0025.ec.fits[101] 900.0 1.000 0. 0.009 150407.0025.ec.fits[102] 900.0 1.000 0. 0.009 150407.0025.ec.fits[103] 900.0 1.000 0. 0.009 150407.0025.ec.fits[104] 900.0 1.000 0. 0.009 150407.0025.ec.fits[105] 900.0 1.000 0. 0.009 150407.0025.ec.fits[106] 900.0 1.000 0. 0.009 150407.0025.ec.fits[107] 900.0 1.000 0. 0.009 150407.0025.ec.fits[108] 900.0 1.000 0. 0.009 150407.0025.ec.fits[109] 900.0 1.000 0. 0.009 150407.0025.ec.fits[110] 900.0 1.000 0. 0.009 150407.0025.ec.fits[111] 900.0 1.000 0. 0.009 150407.0025.ec.fits[112] 900.0 1.000 0. 0.009 150407.0025.ec.fits[113] 900.0 1.000 0. 0.009 150407.0025.ec.fits[114] 900.0 1.000 0. 0.009 150407.0025.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum150407.0025.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.484, w2 = 10811.6, dw = 0.04391656, nw = 169689., dtype = 0 Apr 27 14:48: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 150407.0026.ec.fits[ 1] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 2] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 3] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 4] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 5] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 6] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 7] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 8] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 9] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 10] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 11] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 12] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 13] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 14] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 15] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 16] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 17] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 18] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 19] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 20] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 21] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 22] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 23] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 24] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 25] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 26] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 27] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 28] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 29] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 30] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 31] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 32] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 33] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 34] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 35] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 36] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 37] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 38] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 39] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 40] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 41] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 42] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 43] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 44] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 45] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 46] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 47] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 48] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 49] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 50] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 51] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 52] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 53] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 54] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 55] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 56] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 57] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 58] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 59] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 60] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 61] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 62] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 63] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 64] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 65] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 66] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 67] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 68] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 69] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 70] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 71] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 72] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 73] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 74] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 75] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 76] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 77] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 78] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 79] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 80] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 81] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 82] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 83] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 84] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 85] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 86] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 87] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 88] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 89] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 90] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 91] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 92] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 93] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 94] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 95] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 96] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 97] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 98] 30.0 1.000 0. 0.009 150407.0026.ec.fits[ 99] 30.0 1.000 0. 0.009 150407.0026.ec.fits[100] 30.0 1.000 0. 0.009 150407.0026.ec.fits[101] 30.0 1.000 0. 0.009 150407.0026.ec.fits[102] 30.0 1.000 0. 0.009 150407.0026.ec.fits[103] 30.0 1.000 0. 0.009 150407.0026.ec.fits[104] 30.0 1.000 0. 0.009 150407.0026.ec.fits[105] 30.0 1.000 0. 0.009 150407.0026.ec.fits[106] 30.0 1.000 0. 0.009 150407.0026.ec.fits[107] 30.0 1.000 0. 0.009 150407.0026.ec.fits[108] 30.0 1.000 0. 0.009 150407.0026.ec.fits[109] 30.0 1.000 0. 0.009 150407.0026.ec.fits[110] 30.0 1.000 0. 0.009 150407.0026.ec.fits[111] 30.0 1.000 0. 0.009 150407.0026.ec.fits[112] 30.0 1.000 0. 0.009 150407.0026.ec.fits[113] 30.0 1.000 0. 0.009 150407.0026.ec.fits[114] 30.0 1.000 0. 0.009 150407.0026.ec.fits[115] 30.0 1.000 0. 0.009 Output image = sum150407.0026.ec.fits, ncombine = 115, exptime = 3449.942 w1 = 3359.471, w2 = 10811.61, dw = 0.04391048, nw = 169713., dtype = 0 Apr 27 14:48: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 150407.0028.ec.fits[ 1] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 2] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 3] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 4] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 5] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 6] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 7] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 8] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 9] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 10] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 11] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 12] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 13] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 14] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 15] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 16] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 17] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 18] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 19] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 20] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 21] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 22] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 23] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 24] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 25] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 26] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 27] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 28] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 29] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 30] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 31] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 32] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 33] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 34] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 35] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 36] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 37] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 38] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 39] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 40] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 41] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 42] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 43] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 44] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 45] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 46] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 47] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 48] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 49] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 50] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 51] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 52] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 53] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 54] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 55] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 56] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 57] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 58] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 59] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 60] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 61] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 62] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 63] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 64] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 65] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 66] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 67] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 68] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 69] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 70] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 71] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 72] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 73] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 74] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 75] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 76] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 77] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 78] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 79] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 80] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 81] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 82] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 83] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 84] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 85] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 86] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 87] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 88] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 89] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 90] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 91] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 92] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 93] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 94] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 95] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 96] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 97] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 98] 30.0 1.000 0. 0.009 150407.0028.ec.fits[ 99] 30.0 1.000 0. 0.009 150407.0028.ec.fits[100] 30.0 1.000 0. 0.009 150407.0028.ec.fits[101] 30.0 1.000 0. 0.009 150407.0028.ec.fits[102] 30.0 1.000 0. 0.009 150407.0028.ec.fits[103] 30.0 1.000 0. 0.009 150407.0028.ec.fits[104] 30.0 1.000 0. 0.009 150407.0028.ec.fits[105] 30.0 1.000 0. 0.009 150407.0028.ec.fits[106] 30.0 1.000 0. 0.009 150407.0028.ec.fits[107] 30.0 1.000 0. 0.009 150407.0028.ec.fits[108] 30.0 1.000 0. 0.009 150407.0028.ec.fits[109] 30.0 1.000 0. 0.009 150407.0028.ec.fits[110] 30.0 1.000 0. 0.009 150407.0028.ec.fits[111] 30.0 1.000 0. 0.009 150407.0028.ec.fits[112] 30.0 1.000 0. 0.009 150407.0028.ec.fits[113] 30.0 1.000 0. 0.009 150407.0028.ec.fits[114] 30.0 1.000 0. 0.009 150407.0028.ec.fits[115] 30.0 1.000 0. 0.009 Output image = sum150407.0028.ec.fits, ncombine = 115, exptime = 3449.946 w1 = 3359.467, w2 = 10811.6, dw = 0.04389703, nw = 169765., dtype = 0 Apr 27 14:49: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 150407.0029.ec.fits[ 1] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 2] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 3] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 4] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 5] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 6] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 7] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 8] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 9] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 10] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 11] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 12] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 13] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 14] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 15] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 16] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 17] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 18] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 19] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 20] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 21] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 22] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 23] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 24] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 25] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 26] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 27] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 28] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 29] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 30] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 31] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 32] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 33] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 34] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 35] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 36] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 37] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 38] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 39] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 40] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 41] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 42] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 43] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 44] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 45] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 46] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 47] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 48] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 49] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 50] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 51] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 52] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 53] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 54] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 55] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 56] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 57] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 58] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 59] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 60] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 61] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 62] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 63] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 64] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 65] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 66] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 67] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 68] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 69] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 70] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 71] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 72] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 73] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 74] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 75] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 76] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 77] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 78] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 79] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 80] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 81] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 82] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 83] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 84] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 85] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 86] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 87] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 88] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 89] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 90] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 91] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 92] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 93] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 94] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 95] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 96] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 97] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 98] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[ 99] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[100] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[101] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[102] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[103] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[104] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[105] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[106] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[107] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[108] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[109] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[110] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[111] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[112] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[113] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[114] 1200.0 1.000 0. 0.009 150407.0029.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum150407.0029.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.464, w2 = 10811.58, dw = 0.04385144, nw = 169941., dtype = 0 Apr 27 14:49: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 150407.0030.ec.fits[ 1] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 2] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 3] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 4] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 5] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 6] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 7] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 8] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 9] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 10] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 11] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 12] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 13] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 14] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 15] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 16] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 17] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 18] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 19] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 20] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 21] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 22] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 23] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 24] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 25] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 26] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 27] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 28] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 29] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 30] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 31] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 32] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 33] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 34] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 35] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 36] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 37] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 38] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 39] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 40] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 41] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 42] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 43] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 44] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 45] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 46] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 47] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 48] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 49] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 50] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 51] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 52] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 53] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 54] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 55] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 56] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 57] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 58] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 59] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 60] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 61] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 62] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 63] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 64] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 65] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 66] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 67] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 68] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 69] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 70] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 71] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 72] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 73] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 74] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 75] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 76] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 77] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 78] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 79] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 80] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 81] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 82] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 83] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 84] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 85] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 86] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 87] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 88] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 89] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 90] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 91] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 92] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 93] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 94] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 95] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 96] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 97] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 98] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[ 99] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[100] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[101] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[102] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[103] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[104] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[105] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[106] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[107] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[108] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[109] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[110] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[111] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[112] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[113] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[114] 1500.0 1.000 0. 0.009 150407.0030.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum150407.0030.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.459, w2 = 10811.53, dw = 0.043768, nw = 170264., dtype = 0 Apr 27 14:50: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 150407.0031.ec.fits[ 1] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 2] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 3] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 4] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 5] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 6] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 7] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 8] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 9] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 10] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 11] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 12] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 13] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 14] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 15] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 16] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 17] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 18] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 19] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 20] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 21] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 22] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 23] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 24] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 25] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 26] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 27] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 28] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 29] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 30] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 31] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 32] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 33] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 34] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 35] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 36] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 37] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 38] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 39] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 40] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 41] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 42] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 43] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 44] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 45] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 46] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 47] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 48] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 49] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 50] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 51] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 52] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 53] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 54] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 55] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 56] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 57] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 58] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 59] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 60] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 61] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 62] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 63] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 64] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 65] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 66] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 67] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 68] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 69] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 70] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 71] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 72] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 73] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 74] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 75] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 76] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 77] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 78] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 79] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 80] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 81] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 82] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 83] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 84] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 85] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 86] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 87] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 88] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 89] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 90] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 91] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 92] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 93] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 94] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 95] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 96] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 97] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 98] 900.0 1.000 0. 0.009 150407.0031.ec.fits[ 99] 900.0 1.000 0. 0.009 150407.0031.ec.fits[100] 900.0 1.000 0. 0.009 150407.0031.ec.fits[101] 900.0 1.000 0. 0.009 150407.0031.ec.fits[102] 900.0 1.000 0. 0.009 150407.0031.ec.fits[103] 900.0 1.000 0. 0.009 150407.0031.ec.fits[104] 900.0 1.000 0. 0.009 150407.0031.ec.fits[105] 900.0 1.000 0. 0.009 150407.0031.ec.fits[106] 900.0 1.000 0. 0.009 150407.0031.ec.fits[107] 900.0 1.000 0. 0.009 150407.0031.ec.fits[108] 900.0 1.000 0. 0.009 150407.0031.ec.fits[109] 900.0 1.000 0. 0.009 150407.0031.ec.fits[110] 900.0 1.000 0. 0.009 150407.0031.ec.fits[111] 900.0 1.000 0. 0.009 150407.0031.ec.fits[112] 900.0 1.000 0. 0.009 150407.0031.ec.fits[113] 900.0 1.000 0. 0.009 150407.0031.ec.fits[114] 900.0 1.000 0. 0.009 150407.0031.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum150407.0031.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.455, w2 = 10811.48, dw = 0.04368154, nw = 170600., dtype = 0 Apr 27 14:51: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 150407.0032.ec.fits[ 1] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 2] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 3] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 4] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 5] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 6] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 7] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 8] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 9] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 10] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 11] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 12] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 13] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 14] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 15] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 16] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 17] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 18] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 19] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 20] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 21] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 22] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 23] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 24] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 25] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 26] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 27] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 28] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 29] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 30] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 31] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 32] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 33] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 34] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 35] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 36] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 37] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 38] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 39] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 40] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 41] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 42] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 43] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 44] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 45] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 46] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 47] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 48] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 49] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 50] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 51] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 52] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 53] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 54] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 55] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 56] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 57] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 58] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 59] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 60] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 61] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 62] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 63] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 64] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 65] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 66] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 67] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 68] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 69] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 70] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 71] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 72] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 73] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 74] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 75] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 76] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 77] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 78] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 79] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 80] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 81] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 82] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 83] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 84] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 85] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 86] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 87] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 88] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 89] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 90] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 91] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 92] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 93] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 94] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 95] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 96] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 97] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 98] 60.0 1.000 0. 0.009 150407.0032.ec.fits[ 99] 60.0 1.000 0. 0.009 150407.0032.ec.fits[100] 60.0 1.000 0. 0.009 150407.0032.ec.fits[101] 60.0 1.000 0. 0.009 150407.0032.ec.fits[102] 60.0 1.000 0. 0.009 150407.0032.ec.fits[103] 60.0 1.000 0. 0.009 150407.0032.ec.fits[104] 60.0 1.000 0. 0.009 150407.0032.ec.fits[105] 60.0 1.000 0. 0.009 150407.0032.ec.fits[106] 60.0 1.000 0. 0.009 150407.0032.ec.fits[107] 60.0 1.000 0. 0.009 150407.0032.ec.fits[108] 60.0 1.000 0. 0.009 150407.0032.ec.fits[109] 60.0 1.000 0. 0.009 150407.0032.ec.fits[110] 60.0 1.000 0. 0.009 150407.0032.ec.fits[111] 60.0 1.000 0. 0.009 150407.0032.ec.fits[112] 60.0 1.000 0. 0.009 150407.0032.ec.fits[113] 60.0 1.000 0. 0.009 150407.0032.ec.fits[114] 60.0 1.000 0. 0.009 150407.0032.ec.fits[115] 60.0 1.000 0. 0.009 Output image = sum150407.0032.ec.fits, ncombine = 115, exptime = 6900.013 w1 = 3359.452, w2 = 10811.46, dw = 0.04364357, nw = 170748., dtype = 0 Apr 27 14:51: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 150407.0033.ec.fits[ 1] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 2] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 3] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 4] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 5] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 6] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 7] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 8] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 9] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 10] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 11] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 12] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 13] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 14] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 15] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 16] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 17] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 18] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 19] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 20] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 21] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 22] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 23] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 24] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 25] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 26] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 27] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 28] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 29] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 30] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 31] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 32] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 33] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 34] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 35] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 36] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 37] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 38] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 39] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 40] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 41] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 42] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 43] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 44] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 45] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 46] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 47] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 48] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 49] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 50] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 51] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 52] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 53] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 54] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 55] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 56] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 57] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 58] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 59] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 60] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 61] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 62] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 63] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 64] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 65] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 66] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 67] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 68] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 69] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 70] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 71] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 72] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 73] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 74] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 75] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 76] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 77] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 78] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 79] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 80] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 81] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 82] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 83] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 84] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 85] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 86] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 87] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 88] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 89] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 90] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 91] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 92] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 93] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 94] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 95] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 96] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 97] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 98] 60.0 1.000 0. 0.009 150407.0033.ec.fits[ 99] 60.0 1.000 0. 0.009 150407.0033.ec.fits[100] 60.0 1.000 0. 0.009 150407.0033.ec.fits[101] 60.0 1.000 0. 0.009 150407.0033.ec.fits[102] 60.0 1.000 0. 0.009 150407.0033.ec.fits[103] 60.0 1.000 0. 0.009 150407.0033.ec.fits[104] 60.0 1.000 0. 0.009 150407.0033.ec.fits[105] 60.0 1.000 0. 0.009 150407.0033.ec.fits[106] 60.0 1.000 0. 0.009 150407.0033.ec.fits[107] 60.0 1.000 0. 0.009 150407.0033.ec.fits[108] 60.0 1.000 0. 0.009 150407.0033.ec.fits[109] 60.0 1.000 0. 0.009 150407.0033.ec.fits[110] 60.0 1.000 0. 0.009 150407.0033.ec.fits[111] 60.0 1.000 0. 0.009 150407.0033.ec.fits[112] 60.0 1.000 0. 0.009 150407.0033.ec.fits[113] 60.0 1.000 0. 0.009 150407.0033.ec.fits[114] 60.0 1.000 0. 0.009 150407.0033.ec.fits[115] 60.0 1.000 0. 0.009 Output image = sum150407.0033.ec.fits, ncombine = 115, exptime = 6900.001 w1 = 3359.452, w2 = 10811.45, dw = 0.04363152, nw = 170795., dtype = 0 Apr 27 14:52: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150407.0021.ec.fits[ 1] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 2] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 3] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 4] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 5] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 6] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 7] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 8] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 9] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 10] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 11] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 12] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 13] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 14] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 15] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 16] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 17] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 18] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 19] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 20] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 21] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 22] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 23] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 24] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 25] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 26] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 27] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 28] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 29] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 30] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 31] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 32] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 33] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 34] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 35] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 36] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 37] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 38] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 39] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 40] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 41] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 42] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 43] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 44] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 45] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 46] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 47] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 48] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 49] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 50] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 51] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 52] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 53] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 54] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 55] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 56] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 57] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 58] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 59] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 60] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 61] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 62] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 63] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 64] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 65] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 66] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 67] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 68] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 69] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 70] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 71] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 72] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 73] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 74] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 75] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 76] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 77] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 78] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 79] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 80] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 81] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 82] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 83] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 84] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 85] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 86] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 87] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 88] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 89] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 90] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 91] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 92] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 93] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 94] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 95] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 96] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 97] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 98] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[ 99] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[100] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[101] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[102] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[103] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[104] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[105] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[106] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[107] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[108] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[109] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[110] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[111] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[112] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[113] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[114] 1.6 1.000 0. 0.009 fitcont150407.0021.ec.fits[115] 1.6 1.000 0. 0.009 Output image = sumfitcont150407.0021.ec.fits, ncombine = 115, exptime = 186.0357 w1 = 3359.453, w2 = 10811.57, dw = 0.04395334, nw = 169547., dtype = 0 Apr 27 14:52: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150407.0022.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont150407.0022.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont150407.0022.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.497, w2 = 10811.57, dw = 0.04394376, nw = 169583., dtype = 0 Apr 27 14:53: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150407.0024.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont150407.0024.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont150407.0024.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.511, w2 = 10811.58, dw = 0.04392847, nw = 169642., dtype = 0 Apr 27 14:54: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150407.0025.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[100] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[101] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[102] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[103] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[104] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[105] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[106] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[107] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[108] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[109] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[110] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[111] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[112] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[113] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[114] 900.0 1.000 0. 0.009 fitcont150407.0025.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont150407.0025.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.484, w2 = 10811.6, dw = 0.04391656, nw = 169689., dtype = 0 Apr 27 14:54: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150407.0026.ec.fits[ 1] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 2] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 3] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 4] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 5] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 6] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 7] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 8] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 9] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 10] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 11] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 12] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 13] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 14] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 15] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 16] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 17] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 18] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 19] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 20] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 21] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 22] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 23] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 24] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 25] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 26] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 27] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 28] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 29] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 30] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 31] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 32] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 33] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 34] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 35] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 36] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 37] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 38] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 39] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 40] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 41] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 42] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 43] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 44] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 45] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 46] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 47] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 48] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 49] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 50] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 51] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 52] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 53] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 54] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 55] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 56] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 57] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 58] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 59] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 60] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 61] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 62] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 63] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 64] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 65] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 66] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 67] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 68] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 69] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 70] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 71] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 72] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 73] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 74] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 75] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 76] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 77] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 78] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 79] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 80] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 81] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 82] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 83] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 84] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 85] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 86] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 87] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 88] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 89] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 90] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 91] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 92] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 93] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 94] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 95] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 96] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 97] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 98] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[ 99] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[100] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[101] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[102] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[103] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[104] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[105] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[106] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[107] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[108] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[109] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[110] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[111] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[112] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[113] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[114] 30.0 1.000 0. 0.009 fitcont150407.0026.ec.fits[115] 30.0 1.000 0. 0.009 Output image = sumfitcont150407.0026.ec.fits, ncombine = 115, exptime = 3449.942 w1 = 3359.471, w2 = 10811.61, dw = 0.04391048, nw = 169713., dtype = 0 Apr 27 14:55: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150407.0028.ec.fits[ 1] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 2] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 3] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 4] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 5] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 6] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 7] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 8] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 9] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 10] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 11] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 12] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 13] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 14] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 15] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 16] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 17] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 18] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 19] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 20] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 21] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 22] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 23] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 24] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 25] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 26] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 27] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 28] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 29] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 30] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 31] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 32] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 33] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 34] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 35] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 36] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 37] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 38] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 39] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 40] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 41] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 42] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 43] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 44] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 45] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 46] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 47] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 48] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 49] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 50] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 51] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 52] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 53] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 54] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 55] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 56] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 57] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 58] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 59] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 60] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 61] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 62] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 63] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 64] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 65] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 66] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 67] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 68] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 69] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 70] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 71] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 72] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 73] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 74] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 75] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 76] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 77] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 78] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 79] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 80] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 81] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 82] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 83] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 84] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 85] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 86] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 87] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 88] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 89] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 90] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 91] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 92] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 93] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 94] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 95] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 96] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 97] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 98] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[ 99] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[100] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[101] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[102] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[103] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[104] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[105] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[106] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[107] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[108] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[109] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[110] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[111] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[112] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[113] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[114] 30.0 1.000 0. 0.009 fitcont150407.0028.ec.fits[115] 30.0 1.000 0. 0.009 Output image = sumfitcont150407.0028.ec.fits, ncombine = 115, exptime = 3449.946 w1 = 3359.467, w2 = 10811.6, dw = 0.04389703, nw = 169765., dtype = 0 Apr 27 14:55: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150407.0029.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont150407.0029.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont150407.0029.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.464, w2 = 10811.58, dw = 0.04385144, nw = 169941., dtype = 0 Apr 27 14:56: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150407.0030.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont150407.0030.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont150407.0030.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.459, w2 = 10811.53, dw = 0.043768, nw = 170264., dtype = 0 Apr 27 14:56: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150407.0031.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[100] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[101] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[102] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[103] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[104] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[105] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[106] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[107] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[108] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[109] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[110] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[111] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[112] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[113] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[114] 900.0 1.000 0. 0.009 fitcont150407.0031.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont150407.0031.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.455, w2 = 10811.48, dw = 0.04368154, nw = 170600., dtype = 0 Apr 27 14:57: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150407.0032.ec.fits[ 1] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 2] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 3] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 4] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 5] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 6] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 7] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 8] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 9] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 10] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 11] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 12] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 13] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 14] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 15] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 16] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 17] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 18] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 19] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 20] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 21] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 22] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 23] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 24] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 25] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 26] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 27] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 28] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 29] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 30] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 31] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 32] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 33] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 34] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 35] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 36] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 37] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 38] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 39] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 40] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 41] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 42] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 43] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 44] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 45] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 46] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 47] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 48] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 49] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 50] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 51] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 52] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 53] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 54] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 55] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 56] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 57] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 58] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 59] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 60] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 61] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 62] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 63] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 64] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 65] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 66] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 67] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 68] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 69] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 70] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 71] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 72] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 73] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 74] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 75] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 76] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 77] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 78] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 79] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 80] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 81] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 82] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 83] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 84] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 85] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 86] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 87] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 88] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 89] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 90] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 91] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 92] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 93] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 94] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 95] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 96] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 97] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 98] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[ 99] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[100] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[101] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[102] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[103] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[104] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[105] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[106] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[107] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[108] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[109] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[110] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[111] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[112] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[113] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[114] 60.0 1.000 0. 0.009 fitcont150407.0032.ec.fits[115] 60.0 1.000 0. 0.009 Output image = sumfitcont150407.0032.ec.fits, ncombine = 115, exptime = 6900.013 w1 = 3359.452, w2 = 10811.46, dw = 0.04364357, nw = 170748., dtype = 0 Apr 27 14:58: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont150407.0033.ec.fits[ 1] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 2] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 3] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 4] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 5] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 6] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 7] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 8] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 9] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 10] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 11] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 12] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 13] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 14] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 15] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 16] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 17] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 18] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 19] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 20] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 21] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 22] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 23] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 24] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 25] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 26] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 27] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 28] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 29] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 30] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 31] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 32] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 33] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 34] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 35] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 36] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 37] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 38] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 39] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 40] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 41] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 42] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 43] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 44] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 45] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 46] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 47] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 48] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 49] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 50] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 51] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 52] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 53] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 54] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 55] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 56] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 57] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 58] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 59] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 60] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 61] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 62] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 63] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 64] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 65] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 66] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 67] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 68] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 69] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 70] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 71] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 72] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 73] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 74] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 75] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 76] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 77] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 78] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 79] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 80] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 81] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 82] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 83] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 84] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 85] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 86] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 87] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 88] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 89] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 90] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 91] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 92] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 93] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 94] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 95] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 96] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 97] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 98] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[ 99] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[100] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[101] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[102] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[103] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[104] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[105] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[106] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[107] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[108] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[109] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[110] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[111] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[112] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[113] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[114] 60.0 1.000 0. 0.009 fitcont150407.0033.ec.fits[115] 60.0 1.000 0. 0.009 Output image = sumfitcont150407.0033.ec.fits, ncombine = 115, exptime = 6900.001 w1 = 3359.452, w2 = 10811.45, dw = 0.04363152, nw = 170795., dtype = 0 fullspec150407.0021.ec.fits 186.0357 fullspec150407.0021.ec.fits,EXPTIME: 186.0357 -> 1.61770173913 fullspec150407.0021.ec.fits updated fullspec150407.0022.ec.fits 172500. fullspec150407.0022.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec150407.0022.ec.fits updated fullspec150407.0024.ec.fits 172500. fullspec150407.0024.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec150407.0024.ec.fits updated fullspec150407.0025.ec.fits 103500. fullspec150407.0025.ec.fits,EXPTIME: 103500. -> 900.0 fullspec150407.0025.ec.fits updated fullspec150407.0026.ec.fits 3449.942 fullspec150407.0026.ec.fits,EXPTIME: 3449.942 -> 29.9994956522 fullspec150407.0026.ec.fits updated fullspec150407.0028.ec.fits 3449.946 fullspec150407.0028.ec.fits,EXPTIME: 3449.946 -> 29.9995304348 fullspec150407.0028.ec.fits updated fullspec150407.0029.ec.fits 138000. fullspec150407.0029.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec150407.0029.ec.fits updated fullspec150407.0030.ec.fits 172500. fullspec150407.0030.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec150407.0030.ec.fits updated fullspec150407.0031.ec.fits 103500. fullspec150407.0031.ec.fits,EXPTIME: 103500. -> 900.0 fullspec150407.0031.ec.fits updated fullspec150407.0032.ec.fits 6900.013 fullspec150407.0032.ec.fits,EXPTIME: 6900.013 -> 60.0001130435 fullspec150407.0032.ec.fits updated fullspec150407.0033.ec.fits 6900.001 fullspec150407.0033.ec.fits,EXPTIME: 6900.001 -> 60.0000086957 fullspec150407.0033.ec.fits updated ALL DONE! Yay! (=^.^=)