Copying data files and other necessary files Changing to reduced data directory Generating file lists... Setting dispaxis... add 120627.0001.fits,dispaxis = 1 120627.0001.fits updated add 120627.0002.fits,dispaxis = 1 120627.0002.fits updated add 120627.0004.fits,dispaxis = 1 120627.0004.fits updated add 120627.0005.fits,dispaxis = 1 120627.0005.fits updated add 120627.0007.fits,dispaxis = 1 120627.0007.fits updated add 120627.0008.fits,dispaxis = 1 120627.0008.fits updated add 120627.0009.fits,dispaxis = 1 120627.0009.fits updated add 120627.0010.fits,dispaxis = 1 120627.0010.fits updated add 120627.0011.fits,dispaxis = 1 120627.0011.fits updated add 120627.0012.fits,dispaxis = 1 120627.0012.fits updated add 120627.0013.fits,dispaxis = 1 120627.0013.fits updated add 120627.0014.fits,dispaxis = 1 120627.0014.fits updated add 120627.0015.fits,dispaxis = 1 120627.0015.fits updated add 120627.0016.fits,dispaxis = 1 120627.0016.fits updated add 120627.0017.fits,dispaxis = 1 120627.0017.fits updated add 120627.0018.fits,dispaxis = 1 120627.0018.fits updated add 120627.0019.fits,dispaxis = 1 120627.0019.fits updated add 120627.0020.fits,dispaxis = 1 120627.0020.fits updated add 120627.0022.fits,dispaxis = 1 120627.0022.fits updated add 120627.0023.fits,dispaxis = 1 120627.0023.fits updated add 120627.0024.fits,dispaxis = 1 120627.0024.fits updated add 120627.0025.fits,dispaxis = 1 120627.0025.fits updated add 120627.0026.fits,dispaxis = 1 120627.0026.fits updated add 120627.0027.fits,dispaxis = 1 120627.0027.fits updated add 120627.0028.fits,dispaxis = 1 120627.0028.fits updated add 120627.0029.fits,dispaxis = 1 120627.0029.fits updated add 120627.0030.fits,dispaxis = 1 120627.0030.fits updated add 120627.0031.fits,dispaxis = 1 120627.0031.fits updated add 120627.0032.fits,dispaxis = 1 120627.0032.fits updated add 120627.0033.fits,dispaxis = 1 120627.0033.fits updated add 120627.0034.fits,dispaxis = 1 120627.0034.fits updated add 120627.0035.fits,dispaxis = 1 120627.0035.fits updated add 120627.0036.fits,dispaxis = 1 120627.0036.fits updated add 120627.0037.fits,dispaxis = 1 120627.0037.fits updated add 120627.0038.fits,dispaxis = 1 120627.0038.fits updated add 120627.0039.fits,dispaxis = 1 120627.0039.fits updated add 120627.0040.fits,dispaxis = 1 120627.0040.fits updated add 120627.0041.fits,dispaxis = 1 120627.0041.fits updated FIXPIX: image 120627.0004.fits with mask echmask.pl FIXPIX: image 120627.0005.fits with mask echmask.pl FIXPIX: image 120627.0032.fits with mask echmask.pl FIXPIX: image 120627.0033.fits with mask echmask.pl FIXPIX: image 120627.0034.fits with mask echmask.pl FIXPIX: image 120627.0035.fits with mask echmask.pl FIXPIX: image 120627.0036.fits with mask echmask.pl FIXPIX: image 120627.0037.fits with mask echmask.pl FIXPIX: image 120627.0007.fits with mask echmask.pl FIXPIX: image 120627.0008.fits with mask echmask.pl FIXPIX: image 120627.0009.fits with mask echmask.pl FIXPIX: image 120627.0010.fits with mask echmask.pl FIXPIX: image 120627.0011.fits with mask echmask.pl FIXPIX: image 120627.0012.fits with mask echmask.pl FIXPIX: image 120627.0013.fits with mask echmask.pl FIXPIX: image 120627.0014.fits with mask echmask.pl FIXPIX: image 120627.0015.fits with mask echmask.pl FIXPIX: image 120627.0016.fits with mask echmask.pl FIXPIX: image 120627.0017.fits with mask echmask.pl FIXPIX: image 120627.0018.fits with mask echmask.pl FIXPIX: image 120627.0001.fits with mask echmask.pl FIXPIX: image 120627.0002.fits with mask echmask.pl FIXPIX: image 120627.0038.fits with mask echmask.pl FIXPIX: image 120627.0039.fits with mask echmask.pl FIXPIX: image 120627.0040.fits with mask echmask.pl FIXPIX: image 120627.0041.fits with mask echmask.pl Dec 10 12:56: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Exp 120627.0019.fits 0.0 120627.0020.fits 0.9 120627.0022.fits 0.0 120627.0023.fits 0.0 120627.0024.fits 0.9 120627.0025.fits 0.0 120627.0026.fits 0.9 120627.0027.fits 0.0 120627.0028.fits 0.9 120627.0029.fits 0.0 120627.0030.fits 0.9 120627.0031.fits 0.0 Output image = bias_fid, ncombine = 12 Calibrating object images and flats (bias, and trimming)... 120627.0007.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] bias_fid: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0007.fits: Dec 10 12:56 Zero level correction image is bias_fid 120627.0008.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0008.fits: Dec 10 12:56 Zero level correction image is bias_fid 120627.0009.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0009.fits: Dec 10 12:56 Zero level correction image is bias_fid 120627.0010.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0010.fits: Dec 10 12:56 Zero level correction image is bias_fid 120627.0011.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0011.fits: Dec 10 12:56 Zero level correction image is bias_fid 120627.0012.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0012.fits: Dec 10 12:56 Zero level correction image is bias_fid 120627.0013.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0013.fits: Dec 10 12:56 Zero level correction image is bias_fid 120627.0014.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0014.fits: Dec 10 12:56 Zero level correction image is bias_fid 120627.0015.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0015.fits: Dec 10 12:56 Zero level correction image is bias_fid 120627.0016.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0016.fits: Dec 10 12:56 Zero level correction image is bias_fid 120627.0017.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0017.fits: Dec 10 12:56 Zero level correction image is bias_fid 120627.0018.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0018.fits: Dec 10 12:56 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... 120627.0004.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0004.fits: Dec 10 12:56 Zero level correction image is bias_fid 120627.0005.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0005.fits: Dec 10 12:56 Zero level correction image is bias_fid 120627.0032.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0032.fits: Dec 10 12:56 Zero level correction image is bias_fid 120627.0033.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0033.fits: Dec 10 12:56 Zero level correction image is bias_fid 120627.0034.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0034.fits: Dec 10 12:56 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... 120627.0035.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0035.fits: Dec 10 12:56 Zero level correction image is bias_fid 120627.0036.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0036.fits: Dec 10 12:56 Zero level correction image is bias_fid 120627.0037.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0037.fits: Dec 10 12:56 Zero level correction image is bias_fid Calibrating ThAr arcs... 120627.0001.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0001.fits: Dec 10 12:56 Zero level correction image is bias_fid 120627.0002.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0002.fits: Dec 10 12:56 Zero level correction image is bias_fid 120627.0038.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0038.fits: Dec 10 12:56 Zero level correction image is bias_fid 120627.0039.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0039.fits: Dec 10 12:56 Zero level correction image is bias_fid 120627.0040.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0040.fits: Dec 10 12:56 Zero level correction image is bias_fid 120627.0041.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0041.fits: Dec 10 12:56 Zero level correction image is bias_fid Combining red and blue flats into separate fiducial flats... Dec 10 12:58: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp 120627.0035.fits 200.0 120627.0036.fits 200.0 120627.0037.fits 200.0 Output image = flat_blue_mean.fits, ncombine = 3 Dec 10 12:58: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp 120627.0004.fits 7.0 120627.0005.fits 7.0 120627.0032.fits 7.0 120627.0033.fits 7.0 120627.0034.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... Dec 10 12:58: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 65. Dec 10 12:58: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 64. Dec 10 12:58: TRACE - Trace of aperture 99 in flat_fid_mag recovered at column 63. Dec 10 12:58: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1617. Dec 10 12:58: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 1618. Dec 10 12:58: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 60. Dec 10 12:58: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 59. Dec 10 12:58: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 58. Dec 10 12:58: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1615. Dec 10 12:58: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1616. Dec 10 12:58: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1617. Dec 10 12:58: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1618. Dec 10 12:58: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1619. Dec 10 12:58: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1581. Dec 10 12:58: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1582. Dec 10 12:58: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1583. Dec 10 12:58: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1584. Dec 10 12:58: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1585. Dec 10 12:58: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1633. Dec 10 12:58: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1634. Dec 10 12:58: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 157. Dec 10 12:58: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 156. Dec 10 12:58: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 155. Dec 10 12:58: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1504. Dec 10 12:58: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1505. Dec 10 12:58: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1506. Dec 10 12:58: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1569. Dec 10 12:58: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1570. Dec 10 12:58: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1577. Dec 10 12:58: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1578. Dec 10 12:58: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1617. Dec 10 12:58: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1618. Dec 10 12:58: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 141. Dec 10 12:58: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 140. Dec 10 12:58: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 107. Dec 10 12:58: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 106. Dec 10 12:58: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 48. Dec 10 12:58: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 47. Dec 10 12:58: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1504. Dec 10 12:58: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1505. Dec 10 12:58: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1506. Dec 10 12:58: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1507. Dec 10 12:58: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1511. Dec 10 12:58: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1512. Dec 10 12:58: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1530. Dec 10 12:58: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1531. Dec 10 12:58: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1575. Dec 10 12:58: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1576. Dec 10 12:58: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1587. Dec 10 12:58: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1588. Dec 10 12:58: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1618. Dec 10 12:58: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1619. Dec 10 12:58: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1620. Dec 10 12:58: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 103. Dec 10 12:58: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 102. Dec 10 12:58: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 65. Dec 10 12:58: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 64. Dec 10 12:58: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 62. Dec 10 12:58: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 61. Dec 10 12:58: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 60. Normalizing the superflat... flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits IMARITH: Operation = + Operand1 = nonorm_flat_fid_mag.ec.fits Operand2 = 11.17 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... 120627.0001.fits Magnify image 120627.0001.fits to image 120627.0001.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 120627.0001.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120627.0001.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... 120627.0002.fits Magnify image 120627.0002.fits to image 120627.0002.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 120627.0002.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120627.0002.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... 120627.0038.fits Magnify image 120627.0038.fits to image 120627.0038.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 120627.0038.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120627.0038.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... 120627.0039.fits Magnify image 120627.0039.fits to image 120627.0039.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 120627.0039.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120627.0039.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... 120627.0040.fits Magnify image 120627.0040.fits to image 120627.0040.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120627.0040.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120627.0040.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... 120627.0041.fits Magnify image 120627.0041.fits to image 120627.0041.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120627.0041.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120627.0041.fits updated Applying model apertures to the arc and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120627.0007 Magnify image 120627.0007 to image 120627.0007. 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 120627.0007,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120627.0007 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120627.0007 -> noscat120627.0007 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120627.0008 Magnify image 120627.0008 to image 120627.0008. 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 120627.0008,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120627.0008 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120627.0008 -> noscat120627.0008 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 13:01: EXTRACT: WARNING - Aperture 87: Dec 10 13:01: Total variance weighted spectrum flux is 4475.251 Dec 10 13:01: Total unweighted spectrum flux is 108.3479 Dec 10 13:01: EXTRACT: Aperture 87 variance spectrum bias factor is 0.02421046 Dec 10 13:01: EXTRACT: WARNING - Aperture 90: Dec 10 13:01: Total variance weighted spectrum flux is 9305.427 Dec 10 13:01: Total unweighted spectrum flux is 4484.822 Dec 10 13:01: EXTRACT: Aperture 90 variance spectrum bias factor is 0.4819577 Dec 10 13:01: EXTRACT: WARNING - Aperture 91: Dec 10 13:01: Total variance weighted spectrum flux is 10032.03 Dec 10 13:01: Total unweighted spectrum flux is 2356.67 Dec 10 13:01: EXTRACT: Aperture 91 variance spectrum bias factor is 0.2349147 Dec 10 13:01: EXTRACT: WARNING - Aperture 92: Dec 10 13:01: Total variance weighted spectrum flux is 4123.933 Dec 10 13:01: Total unweighted spectrum flux is 1205.905 Dec 10 13:01: EXTRACT: Aperture 92 variance spectrum bias factor is 0.2924162 Dec 10 13:01: EXTRACT: WARNING - Aperture 93: Dec 10 13:01: Total variance weighted spectrum flux is 10962.21 Dec 10 13:01: Total unweighted spectrum flux is 3057.753 Dec 10 13:01: EXTRACT: Aperture 93 variance spectrum bias factor is 0.2789358 Dec 10 13:01: EXTRACT: WARNING - Aperture 94: Dec 10 13:01: Total variance weighted spectrum flux is 9019.077 Dec 10 13:01: Total unweighted spectrum flux is 1501.169 Dec 10 13:01: EXTRACT: Aperture 94 variance spectrum bias factor is 0.1664438 Dec 10 13:01: EXTRACT: WARNING - Aperture 95: Dec 10 13:01: Total variance weighted spectrum flux is 3519.302 Dec 10 13:01: Total unweighted spectrum flux is 336.2124 Dec 10 13:01: EXTRACT: Aperture 95 variance spectrum bias factor is 0.09553382 Dec 10 13:01: EXTRACT: WARNING - Aperture 96: Dec 10 13:01: Total variance weighted spectrum flux is 5845.553 Dec 10 13:01: Total unweighted spectrum flux is 1378.956 Dec 10 13:01: EXTRACT: Aperture 96 variance spectrum bias factor is 0.2358984 Dec 10 13:01: EXTRACT: WARNING - Aperture 97: Dec 10 13:01: Total variance weighted spectrum flux is 8709.94 Dec 10 13:01: Total unweighted spectrum flux is 582.1217 Dec 10 13:01: EXTRACT: Aperture 97 variance spectrum bias factor is 0.06683417 Dec 10 13:01: EXTRACT: WARNING - Aperture 98: Dec 10 13:01: Total variance weighted spectrum flux is 5242.488 Dec 10 13:01: Total unweighted spectrum flux is 957.2515 Dec 10 13:01: EXTRACT: Aperture 98 variance spectrum bias factor is 0.1825949 Dec 10 13:01: EXTRACT: WARNING - Aperture 99: Dec 10 13:01: Total variance weighted spectrum flux is 8251.871 Dec 10 13:01: Total unweighted spectrum flux is 476.6459 Dec 10 13:01: EXTRACT: Aperture 99 variance spectrum bias factor is 0.05776216 Dec 10 13:01: EXTRACT: WARNING - Aperture 100: Dec 10 13:01: Total variance weighted spectrum flux is 5999.986 Dec 10 13:01: Total unweighted spectrum flux is 1524.671 Dec 10 13:01: EXTRACT: Aperture 100 variance spectrum bias factor is 0.2541124 Dec 10 13:01: EXTRACT: WARNING - Aperture 101: Dec 10 13:01: Total variance weighted spectrum flux is 4141.943 Dec 10 13:01: Total unweighted spectrum flux is 1244.218 Dec 10 13:01: EXTRACT: Aperture 101 variance spectrum bias factor is 0.3003948 Dec 10 13:01: EXTRACT: WARNING - Aperture 102: Dec 10 13:01: Total variance weighted spectrum flux is 3688.907 Dec 10 13:01: Total unweighted spectrum flux is 522.5858 Dec 10 13:01: EXTRACT: Aperture 102 variance spectrum bias factor is 0.1416641 Dec 10 13:01: EXTRACT: WARNING - Aperture 103: Dec 10 13:01: Total variance weighted spectrum flux is 8264.865 Dec 10 13:01: Total unweighted spectrum flux is 1586.226 Dec 10 13:01: EXTRACT: Aperture 103 variance spectrum bias factor is 0.1919239 Dec 10 13:01: EXTRACT: WARNING - Aperture 104: Dec 10 13:01: Total variance weighted spectrum flux is -115.4666 Dec 10 13:01: Total unweighted spectrum flux is 54.56758 Dec 10 13:01: Variance spectrum bias factor ignored Dec 10 13:02: EXTRACT: WARNING - Aperture 105: Dec 10 13:02: Total variance weighted spectrum flux is 3422.911 Dec 10 13:02: Total unweighted spectrum flux is 192.612 Dec 10 13:02: EXTRACT: Aperture 105 variance spectrum bias factor is 0.0562714 Dec 10 13:02: EXTRACT: WARNING - Aperture 106: Dec 10 13:02: Total variance weighted spectrum flux is 5610.372 Dec 10 13:02: Total unweighted spectrum flux is -439.1492 Dec 10 13:02: Variance spectrum bias factor ignored Dec 10 13:02: EXTRACT: WARNING - Aperture 107: Dec 10 13:02: Total variance weighted spectrum flux is 3972.492 Dec 10 13:02: Total unweighted spectrum flux is 270.0057 Dec 10 13:02: EXTRACT: Aperture 107 variance spectrum bias factor is 0.06796884 Resampling the object by a factor of 4 in the y direction... 120627.0009 Magnify image 120627.0009 to image 120627.0009. 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 120627.0009,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120627.0009 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120627.0009 -> noscat120627.0009 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 13:04: EXTRACT: WARNING - Aperture 105: Dec 10 13:04: Total variance weighted spectrum flux is 7136.581 Dec 10 13:04: Total unweighted spectrum flux is 2493.773 Dec 10 13:04: EXTRACT: Aperture 105 variance spectrum bias factor is 0.3494352 Dec 10 13:04: EXTRACT: WARNING - Aperture 106: Dec 10 13:04: Total variance weighted spectrum flux is 4209.175 Dec 10 13:04: Total unweighted spectrum flux is 985.2748 Dec 10 13:04: EXTRACT: Aperture 106 variance spectrum bias factor is 0.2340779 Dec 10 13:04: EXTRACT: WARNING - Aperture 107: Dec 10 13:04: Total variance weighted spectrum flux is 11859.45 Dec 10 13:04: Total unweighted spectrum flux is 5045.224 Dec 10 13:04: EXTRACT: Aperture 107 variance spectrum bias factor is 0.425418 Resampling the object by a factor of 4 in the y direction... 120627.0010 Magnify image 120627.0010 to image 120627.0010. 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 120627.0010,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120627.0010 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120627.0010 -> noscat120627.0010 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 13:05: EXTRACT: WARNING - Aperture 105: Dec 10 13:05: Total variance weighted spectrum flux is 9859.179 Dec 10 13:05: Total unweighted spectrum flux is 3482.921 Dec 10 13:05: EXTRACT: Aperture 105 variance spectrum bias factor is 0.3532669 Dec 10 13:05: EXTRACT: WARNING - Aperture 106: Dec 10 13:05: Total variance weighted spectrum flux is 11123.63 Dec 10 13:05: Total unweighted spectrum flux is 5495.801 Dec 10 13:05: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4940653 Dec 10 13:05: EXTRACT: WARNING - Aperture 107: Dec 10 13:05: Total variance weighted spectrum flux is 4484.148 Dec 10 13:05: Total unweighted spectrum flux is 1530.407 Dec 10 13:05: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3412927 Resampling the object by a factor of 4 in the y direction... 120627.0011 Magnify image 120627.0011 to image 120627.0011. 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 120627.0011,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120627.0011 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120627.0011 -> noscat120627.0011 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 13:07: EXTRACT: WARNING - Aperture 106: Dec 10 13:07: Total variance weighted spectrum flux is 8088.635 Dec 10 13:07: Total unweighted spectrum flux is -321.9474 Dec 10 13:07: Variance spectrum bias factor ignored Dec 10 13:07: EXTRACT: WARNING - Aperture 107: Dec 10 13:07: Total variance weighted spectrum flux is 6829.174 Dec 10 13:07: Total unweighted spectrum flux is 2039.883 Dec 10 13:07: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2987012 Resampling the object by a factor of 4 in the y direction... 120627.0012 Magnify image 120627.0012 to image 120627.0012. 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 120627.0012,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120627.0012 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120627.0012 -> noscat120627.0012 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 13:09: EXTRACT: WARNING - Aperture 105: Dec 10 13:09: Total variance weighted spectrum flux is 13363.1 Dec 10 13:09: Total unweighted spectrum flux is 2425.804 Dec 10 13:09: EXTRACT: Aperture 105 variance spectrum bias factor is 0.18153 Dec 10 13:09: EXTRACT: WARNING - Aperture 106: Dec 10 13:09: Total variance weighted spectrum flux is 4814.091 Dec 10 13:09: Total unweighted spectrum flux is 1318.447 Dec 10 13:09: EXTRACT: Aperture 106 variance spectrum bias factor is 0.2738723 Dec 10 13:09: EXTRACT: WARNING - Aperture 107: Dec 10 13:09: Total variance weighted spectrum flux is 13444.51 Dec 10 13:09: Total unweighted spectrum flux is 2565.74 Dec 10 13:09: EXTRACT: Aperture 107 variance spectrum bias factor is 0.1908392 Resampling the object by a factor of 4 in the y direction... 120627.0013 Magnify image 120627.0013 to image 120627.0013. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120627.0013,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120627.0013 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120627.0013 -> noscat120627.0013 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120627.0014 Magnify image 120627.0014 to image 120627.0014. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120627.0014,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120627.0014 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120627.0014 -> noscat120627.0014 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 13:12: EXTRACT: WARNING - Aperture 106: Dec 10 13:12: Total variance weighted spectrum flux is 16329.87 Dec 10 13:12: Total unweighted spectrum flux is 7282.92 Dec 10 13:12: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4459876 Resampling the object by a factor of 4 in the y direction... 120627.0015 Magnify image 120627.0015 to image 120627.0015. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120627.0015,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120627.0015 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120627.0015 -> noscat120627.0015 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120627.0016 Magnify image 120627.0016 to image 120627.0016. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120627.0016,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120627.0016 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120627.0016 -> noscat120627.0016 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120627.0017 Magnify image 120627.0017 to image 120627.0017. 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 120627.0017,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120627.0017 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120627.0017 -> noscat120627.0017 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120627.0018 Magnify image 120627.0018 to image 120627.0018. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120627.0018,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120627.0018 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120627.0018 -> noscat120627.0018 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 13:19: EXTRACT: WARNING - Aperture 105: Dec 10 13:19: Total variance weighted spectrum flux is 14407.73 Dec 10 13:19: Total unweighted spectrum flux is 6583.241 Dec 10 13:19: EXTRACT: Aperture 105 variance spectrum bias factor is 0.4569241 Dec 10 13:19: EXTRACT: WARNING - Aperture 106: Dec 10 13:19: Total variance weighted spectrum flux is 7208.833 Dec 10 13:19: Total unweighted spectrum flux is 2224.927 Dec 10 13:19: EXTRACT: Aperture 106 variance spectrum bias factor is 0.3086389 Dec 10 13:19: EXTRACT: WARNING - Aperture 107: Dec 10 13:19: Total variance weighted spectrum flux is 5795.146 Dec 10 13:19: Total unweighted spectrum flux is 2529.144 Dec 10 13:19: EXTRACT: Aperture 107 variance spectrum bias factor is 0.4364245 add 120627.0001.ec.fits,REFSPEC1 = 120627.0001.ec.fits 120627.0001.ec.fits updated add 120627.0002.ec.fits,REFSPEC1 = 120627.0002.ec.fits 120627.0002.ec.fits updated add 120627.0038.ec.fits,REFSPEC1 = 120627.0038.ec.fits 120627.0038.ec.fits updated add 120627.0039.ec.fits,REFSPEC1 = 120627.0039.ec.fits 120627.0039.ec.fits updated add 120627.0040.ec.fits,REFSPEC1 = 120627.0040.ec.fits 120627.0040.ec.fits updated add 120627.0041.ec.fits,REFSPEC1 = 120627.0041.ec.fits 120627.0041.ec.fits updated Flatfielding extracted arcs and object spectra... parameter 120627.0001.ec.fits,UTMIDDLE already exists 120627.0001.ec.fits updated 120627.0001.ec.fits,UTMIDDLE: 03:19:05.515 -> 03:19:39.514976 120627.0001.ec.fits updated parameter 120627.0002.ec.fits,UTMIDDLE already exists 120627.0002.ec.fits updated 120627.0002.ec.fits,UTMIDDLE: 03:21:57.704 -> 03:22:31.704172 120627.0002.ec.fits updated parameter 120627.0038.ec.fits,UTMIDDLE already exists 120627.0038.ec.fits updated 120627.0038.ec.fits,UTMIDDLE: 06:54:41.165 -> 06:55:15.165008 120627.0038.ec.fits updated parameter 120627.0039.ec.fits,UTMIDDLE already exists 120627.0039.ec.fits updated 120627.0039.ec.fits,UTMIDDLE: 06:57:32.969 -> 06:58:06.968220 120627.0039.ec.fits updated parameter 120627.0040.ec.fits,UTMIDDLE already exists 120627.0040.ec.fits updated 120627.0040.ec.fits,UTMIDDLE: 07:00:35.745 -> 07:01:09.744756 120627.0040.ec.fits updated parameter 120627.0041.ec.fits,UTMIDDLE already exists 120627.0041.ec.fits updated 120627.0041.ec.fits,UTMIDDLE: 07:03:38.223 -> 07:04:12.222784 120627.0041.ec.fits updated parameter 120627.0007.ec.fits,UTMIDDLE already exists 120627.0007.ec.fits updated 120627.0007.ec.fits,UTMIDDLE: 03:51:10.239 -> 03:51:44.238970 120627.0007.ec.fits updated parameter 120627.0008.ec.fits,UTMIDDLE already exists 120627.0008.ec.fits updated 120627.0008.ec.fits,UTMIDDLE: 04:05:33.273 -> 04:06:07.273010 120627.0008.ec.fits updated parameter 120627.0009.ec.fits,UTMIDDLE already exists 120627.0009.ec.fits updated 120627.0009.ec.fits,UTMIDDLE: 04:18:43.800 -> 04:19:17.799971 120627.0009.ec.fits updated parameter 120627.0010.ec.fits,UTMIDDLE already exists 120627.0010.ec.fits updated 120627.0010.ec.fits,UTMIDDLE: 04:32:28.650 -> 04:33:02.649665 120627.0010.ec.fits updated parameter 120627.0011.ec.fits,UTMIDDLE already exists 120627.0011.ec.fits updated 120627.0011.ec.fits,UTMIDDLE: 04:47:05.297 -> 04:47:39.297191 120627.0011.ec.fits updated parameter 120627.0012.ec.fits,UTMIDDLE already exists 120627.0012.ec.fits updated 120627.0012.ec.fits,UTMIDDLE: 05:03:11.012 -> 05:03:45.012144 120627.0012.ec.fits updated parameter 120627.0013.ec.fits,UTMIDDLE already exists 120627.0013.ec.fits updated 120627.0013.ec.fits,UTMIDDLE: 05:21:10.777 -> 05:21:44.777144 120627.0013.ec.fits updated parameter 120627.0014.ec.fits,UTMIDDLE already exists 120627.0014.ec.fits updated 120627.0014.ec.fits,UTMIDDLE: 05:41:15.022 -> 05:41:49.021700 120627.0014.ec.fits updated parameter 120627.0015.ec.fits,UTMIDDLE already exists 120627.0015.ec.fits updated 120627.0015.ec.fits,UTMIDDLE: 06:00:01.298 -> 06:00:35.297051 120627.0015.ec.fits updated parameter 120627.0016.ec.fits,UTMIDDLE already exists 120627.0016.ec.fits updated 120627.0016.ec.fits,UTMIDDLE: 06:12:39.039 -> 06:13:13.039069 120627.0016.ec.fits updated parameter 120627.0017.ec.fits,UTMIDDLE already exists 120627.0017.ec.fits updated 120627.0017.ec.fits,UTMIDDLE: 06:26:14.255 -> 06:26:48.254745 120627.0017.ec.fits updated parameter 120627.0018.ec.fits,UTMIDDLE already exists 120627.0018.ec.fits updated 120627.0018.ec.fits,UTMIDDLE: 06:48:10.466 -> 06:48:44.466171 120627.0018.ec.fits updated Setting Julian Date Keywords # Image jd hjd ljd # SETJD: Observatory parameters for Apache Point Observatory # timezone = 7 120627.0007.ec.fits 2456105.66093 2456105.66346 2456105 120627.0008.ec.fits 2456105.67092 2456105.67276 2456105 120627.0009.ec.fits 2456105.68007 2456105.68274 2456105 120627.0010.ec.fits 2456105.68961 2456105.69208 2456105 120627.0011.ec.fits 2456105.69976 2456105.70147 2456105 120627.0012.ec.fits 2456105.71094 2456105.71288 2456105 120627.0013.ec.fits 2456105.72343 2456105.72531 2456105 120627.0014.ec.fits 2456105.73737 2456105.73987 2456105 120627.0015.ec.fits 2456105.75041 2456105.75218 2456105 120627.0016.ec.fits 2456105.75918 2456105.76126 2456105 120627.0017.ec.fits 2456105.76861 2456105.77043 2456105 120627.0018.ec.fits 2456105.78385 2456105.78627 2456105 ECREIDENTIFY: NOAO/IRAF V2.16.1 jeanm12@tequila.nmsu.edu Tue 13:19:35 10-Dec-2013 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS 120627.0001.ec 1186/1599 1186/1186 3.78 -27.4 -4.8E-5 0.0128 120627.0002.ec 1592/1599 1592/1592 3.76 -27.2 -4.8E-5 0.00777 120627.0038.ec 1217/1599 1217/1217 3.37 -24.4 -4.3E-5 0.0123 120627.0039.ec 1592/1599 1592/1592 3.38 -24.5 -4.3E-5 0.00691 120627.0040.ec 1591/1599 1591/1591 3.4 -24.6 -4.3E-5 0.00573 120627.0041.ec 1592/1599 1592/1592 3.41 -24.7 -4.3E-5 0.00589 [120627.0007.ec] refspec1='120627.0002.ec 0.86269128' [120627.0007.ec] refspec2='120627.0038.ec 0.13730875' [120627.0008.ec] refspec1='120627.0002.ec 0.79507369' [120627.0008.ec] refspec2='120627.0038.ec 0.2049263' [120627.0009.ec] refspec1='120627.0002.ec 0.73313695' [120627.0009.ec] refspec2='120627.0038.ec 0.26686302' [120627.0010.ec] refspec1='120627.0002.ec 0.66851109' [120627.0010.ec] refspec2='120627.0038.ec 0.33148888' [120627.0011.ec] refspec1='120627.0002.ec 0.59982693' [120627.0011.ec] refspec2='120627.0038.ec 0.40017304' [120627.0012.ec] refspec1='120627.0002.ec 0.5241645' [120627.0012.ec] refspec2='120627.0038.ec 0.4758355' [120627.0013.ec] refspec1='120627.0002.ec 0.43956634' [120627.0013.ec] refspec2='120627.0038.ec 0.56043363' [120627.0014.ec] refspec1='120627.0002.ec 0.34521541' [120627.0014.ec] refspec2='120627.0038.ec 0.65478462' [120627.0015.ec] refspec1='120627.0002.ec 0.25697324' [120627.0015.ec] refspec2='120627.0038.ec 0.74302673' [120627.0016.ec] refspec1='120627.0002.ec 0.19760518' [120627.0016.ec] refspec2='120627.0038.ec 0.80239481' [120627.0017.ec] refspec1='120627.0002.ec 0.13373412' [120627.0017.ec] refspec2='120627.0038.ec 0.86626589' [120627.0018.ec] refspec1='120627.0002.ec 0.030610729' [120627.0018.ec] refspec2='120627.0038.ec 0.96938926' [120627.0001.ec] refspec1='120627.0001.ec' [120627.0002.ec] refspec1='120627.0002.ec' [120627.0038.ec] refspec1='120627.0038.ec' [120627.0039.ec] refspec1='120627.0039.ec' [120627.0040.ec] refspec1='120627.0040.ec' [120627.0041.ec] refspec1='120627.0041.ec' 120627.0007.ec.fits: REFSPEC1 = '120627.0002.ec 0.86269128' 120627.0007.ec.fits: REFSPEC2 = '120627.0038.ec 0.13730875' 120627.0007.ec.fits: ap = 1, w1 = 10649.28, w2 = 10428.26, dw = -0.13395, nw = 1651 120627.0007.ec.fits: ap = 2, w1 = 10455.67, w2 = 10238.67, dw = -0.13152, nw = 1651 120627.0007.ec.fits: ap = 3, w1 = 10268.98, w2 = 10055.85, dw = -0.12917, nw = 1651 120627.0007.ec.fits: ap = 4, w1 = 10088.83, w2 = 9879.45, dw = -0.1269, nw = 1651 120627.0007.ec.fits: ap = 5, w1 = 9914.9, w2 = 9709.13, dw = -0.12471, nw = 1651 120627.0007.ec.fits: ap = 6, w1 = 9746.863, w2 = 9544.583, dw = -0.12259, nw = 1651 120627.0007.ec.fits: ap = 7, w1 = 9584.428, w2 = 9385.522, dw = -0.12055, nw = 1651 120627.0007.ec.fits: ap = 8, w1 = 9427.319, w2 = 9231.675, dw = -0.11857, nw = 1651 120627.0007.ec.fits: ap = 9, w1 = 9275.277, w2 = 9082.791, dw = -0.11666, nw = 1651 120627.0007.ec.fits: ap = 10, w1 = 9128.062, w2 = 8938.634, dw = -0.11481, nw = 1651 120627.0007.ec.fits: ap = 11, w1 = 8985.448, w2 = 8798.981, dw = -0.11301, nw = 1651 120627.0007.ec.fits: ap = 12, w1 = 8847.221, w2 = 8663.625, dw = -0.11127, nw = 1651 120627.0007.ec.fits: ap = 13, w1 = 8713.183, w2 = 8532.372, dw = -0.10958, nw = 1651 120627.0007.ec.fits: ap = 14, w1 = 8583.147, w2 = 8405.036, dw = -0.10795, nw = 1651 120627.0007.ec.fits: ap = 15, w1 = 8456.934, w2 = 8281.445, dw = -0.10636, nw = 1651 120627.0007.ec.fits: ap = 16, w1 = 8334.381, w2 = 8161.436, dw = -0.10481, nw = 1651 120627.0007.ec.fits: ap = 17, w1 = 8215.328, w2 = 8044.857, dw = -0.10332, nw = 1651 120627.0007.ec.fits: ap = 18, w1 = 8099.629, w2 = 7931.561, dw = -0.10186, nw = 1651 120627.0007.ec.fits: ap = 19, w1 = 7987.145, w2 = 7821.413, dw = -0.10044, nw = 1651 120627.0007.ec.fits: ap = 20, w1 = 7877.741, w2 = 7714.282, dw = -0.09907, nw = 1651 120627.0007.ec.fits: ap = 21, w1 = 7771.295, w2 = 7610.046, dw = -0.09773, nw = 1651 120627.0007.ec.fits: ap = 22, w1 = 7667.687, w2 = 7508.591, dw = -0.09642, nw = 1651 120627.0007.ec.fits: ap = 23, w1 = 7566.806, w2 = 7409.805, dw = -0.09515, nw = 1651 120627.0007.ec.fits: ap = 24, w1 = 7468.545, w2 = 7313.585, dw = -0.09392, nw = 1651 120627.0007.ec.fits: ap = 25, w1 = 7372.804, w2 = 7219.832, dw = -0.09271, nw = 1651 120627.0007.ec.fits: ap = 26, w1 = 7279.486, w2 = 7128.453, dw = -0.09154, nw = 1651 120627.0007.ec.fits: ap = 27, w1 = 7188.501, w2 = 7039.358, dw = -0.09039, nw = 1651 120627.0007.ec.fits: ap = 28, w1 = 7099.763, w2 = 6952.463, dw = -0.08927, nw = 1651 120627.0007.ec.fits: ap = 29, w1 = 7013.19, w2 = 6867.687, dw = -0.08818, nw = 1651 120627.0007.ec.fits: ap = 30, w1 = 6928.702, w2 = 6784.955, dw = -0.08712, nw = 1651 120627.0007.ec.fits: ap = 31, w1 = 6846.226, w2 = 6704.192, dw = -0.08608, nw = 1651 120627.0007.ec.fits: ap = 32, w1 = 6765.691, w2 = 6625.329, dw = -0.08507, nw = 1651 120627.0007.ec.fits: ap = 33, w1 = 6687.028, w2 = 6548.301, dw = -0.08408, nw = 1651 120627.0007.ec.fits: ap = 34, w1 = 6610.174, w2 = 6473.043, dw = -0.08311, nw = 1651 120627.0007.ec.fits: ap = 35, w1 = 6535.067, w2 = 6399.496, dw = -0.08216, nw = 1651 120627.0007.ec.fits: ap = 36, w1 = 6461.648, w2 = 6327.602, dw = -0.08124, nw = 1651 120627.0007.ec.fits: ap = 37, w1 = 6389.86, w2 = 6257.305, dw = -0.08034, nw = 1651 120627.0007.ec.fits: ap = 38, w1 = 6319.65, w2 = 6188.553, dw = -0.07945, nw = 1651 120627.0007.ec.fits: ap = 39, w1 = 6250.966, w2 = 6121.296, dw = -0.07859, nw = 1651 120627.0007.ec.fits: ap = 40, w1 = 6183.759, w2 = 6055.486, dw = -0.07774, nw = 1651 120627.0007.ec.fits: ap = 41, w1 = 6117.983, w2 = 5991.076, dw = -0.07691, nw = 1651 120627.0007.ec.fits: ap = 42, w1 = 6053.591, w2 = 5928.021, dw = -0.0761, nw = 1651 120627.0007.ec.fits: ap = 43, w1 = 5990.541, w2 = 5866.281, dw = -0.07531, nw = 1651 120627.0007.ec.fits: ap = 44, w1 = 5928.791, w2 = 5805.813, dw = -0.07453, nw = 1651 120627.0007.ec.fits: ap = 45, w1 = 5868.301, w2 = 5746.58, dw = -0.07377, nw = 1651 120627.0007.ec.fits: ap = 46, w1 = 5809.033, w2 = 5688.543, dw = -0.07302, nw = 1651 120627.0007.ec.fits: ap = 47, w1 = 5750.951, w2 = 5631.667, dw = -0.07229, nw = 1651 120627.0007.ec.fits: ap = 48, w1 = 5694.018, w2 = 5575.918, dw = -0.07158, nw = 1651 120627.0007.ec.fits: ap = 49, w1 = 5638.203, w2 = 5521.261, dw = -0.07087, nw = 1651 120627.0007.ec.fits: ap = 50, w1 = 5583.471, w2 = 5467.666, dw = -0.07018, nw = 1651 120627.0007.ec.fits: ap = 51, w1 = 5529.791, w2 = 5415.102, dw = -0.06951, nw = 1651 120627.0007.ec.fits: ap = 52, w1 = 5477.135, w2 = 5363.539, dw = -0.06885, nw = 1651 120627.0007.ec.fits: ap = 53, w1 = 5425.472, w2 = 5312.949, dw = -0.0682, nw = 1651 120627.0007.ec.fits: ap = 54, w1 = 5374.774, w2 = 5263.305, dw = -0.06756, nw = 1651 120627.0007.ec.fits: ap = 55, w1 = 5325.016, w2 = 5214.58, dw = -0.06693, nw = 1651 120627.0007.ec.fits: ap = 56, w1 = 5276.17, w2 = 5166.749, dw = -0.06632, nw = 1651 120627.0007.ec.fits: ap = 57, w1 = 5228.213, w2 = 5119.788, dw = -0.06571, nw = 1651 120627.0007.ec.fits: ap = 58, w1 = 5181.12, w2 = 5073.673, dw = -0.06512, nw = 1651 120627.0007.ec.fits: ap = 59, w1 = 5134.868, w2 = 5028.382, dw = -0.06454, nw = 1651 120627.0007.ec.fits: ap = 60, w1 = 5089.435, w2 = 4983.892, dw = -0.06397, nw = 1651 120627.0007.ec.fits: ap = 61, w1 = 5044.799, w2 = 4940.183, dw = -0.0634, nw = 1651 120627.0007.ec.fits: ap = 62, w1 = 5000.939, w2 = 4897.234, dw = -0.06285, nw = 1651 120627.0007.ec.fits: ap = 63, w1 = 4957.835, w2 = 4855.026, dw = -0.06231, nw = 1651 120627.0007.ec.fits: ap = 64, w1 = 4915.469, w2 = 4813.54, dw = -0.06178, nw = 1651 120627.0007.ec.fits: ap = 65, w1 = 4873.821, w2 = 4772.756, dw = -0.06125, nw = 1651 120627.0007.ec.fits: ap = 66, w1 = 4832.872, w2 = 4732.659, dw = -0.06074, nw = 1651 120627.0007.ec.fits: ap = 67, w1 = 4792.607, w2 = 4693.229, dw = -0.06023, nw = 1651 120627.0007.ec.fits: ap = 68, w1 = 4753.006, w2 = 4654.452, dw = -0.05973, nw = 1651 120627.0007.ec.fits: ap = 69, w1 = 4714.056, w2 = 4616.31, dw = -0.05924, nw = 1651 120627.0007.ec.fits: ap = 70, w1 = 4675.738, w2 = 4578.789, dw = -0.05876, nw = 1651 120627.0007.ec.fits: ap = 71, w1 = 4638.039, w2 = 4541.872, dw = -0.05828, nw = 1651 120627.0007.ec.fits: ap = 72, w1 = 4600.943, w2 = 4505.547, dw = -0.05782, nw = 1651 120627.0007.ec.fits: ap = 73, w1 = 4564.436, w2 = 4469.798, dw = -0.05736, nw = 1651 120627.0007.ec.fits: ap = 74, w1 = 4528.504, w2 = 4434.612, dw = -0.0569, nw = 1651 120627.0007.ec.fits: ap = 75, w1 = 4493.134, w2 = 4399.977, dw = -0.05646, nw = 1651 120627.0007.ec.fits: ap = 76, w1 = 4458.312, w2 = 4365.878, dw = -0.05602, nw = 1651 120627.0007.ec.fits: ap = 77, w1 = 4424.026, w2 = 4332.304, dw = -0.05559, nw = 1651 120627.0007.ec.fits: ap = 78, w1 = 4390.264, w2 = 4299.243, dw = -0.05516, nw = 1651 120627.0007.ec.fits: ap = 79, w1 = 4357.013, w2 = 4266.682, dw = -0.05475, nw = 1651 120627.0007.ec.fits: ap = 80, w1 = 4324.262, w2 = 4234.612, dw = -0.05433, nw = 1651 120627.0007.ec.fits: ap = 81, w1 = 4292., w2 = 4203.02, dw = -0.05393, nw = 1651 120627.0007.ec.fits: ap = 82, w1 = 4260.217, w2 = 4171.896, dw = -0.05353, nw = 1651 120627.0007.ec.fits: ap = 83, w1 = 4228.901, w2 = 4141.231, dw = -0.05313, nw = 1651 120627.0007.ec.fits: ap = 84, w1 = 4198.042, w2 = 4111.013, dw = -0.05274, nw = 1651 120627.0007.ec.fits: ap = 85, w1 = 4167.63, w2 = 4081.233, dw = -0.05236, nw = 1651 120627.0007.ec.fits: ap = 86, w1 = 4137.656, w2 = 4051.881, dw = -0.05198, nw = 1651 120627.0007.ec.fits: ap = 87, w1 = 4108.111, w2 = 4022.949, dw = -0.05161, nw = 1651 120627.0007.ec.fits: ap = 88, w1 = 4078.985, w2 = 3994.428, dw = -0.05125, nw = 1651 120627.0007.ec.fits: ap = 89, w1 = 4050.269, w2 = 3966.308, dw = -0.05089, nw = 1651 120627.0007.ec.fits: ap = 90, w1 = 4021.955, w2 = 3938.582, dw = -0.05053, nw = 1651 120627.0007.ec.fits: ap = 91, w1 = 3994.034, w2 = 3911.241, dw = -0.05018, nw = 1651 120627.0007.ec.fits: ap = 92, w1 = 3966.498, w2 = 3884.277, dw = -0.04983, nw = 1651 120627.0007.ec.fits: ap = 93, w1 = 3939.34, w2 = 3857.683, dw = -0.04949, nw = 1651 120627.0007.ec.fits: ap = 94, w1 = 3912.552, w2 = 3831.45, dw = -0.04915, nw = 1651 120627.0007.ec.fits: ap = 95, w1 = 3886.125, w2 = 3805.573, dw = -0.04882, nw = 1651 120627.0007.ec.fits: ap = 96, w1 = 3860.054, w2 = 3780.042, dw = -0.04849, nw = 1651 120627.0007.ec.fits: ap = 97, w1 = 3834.33, w2 = 3754.853, dw = -0.04817, nw = 1651 120627.0007.ec.fits: ap = 98, w1 = 3808.947, w2 = 3729.997, dw = -0.04785, nw = 1651 120627.0007.ec.fits: ap = 99, w1 = 3783.898, w2 = 3705.468, dw = -0.04753, nw = 1651 120627.0007.ec.fits: ap = 100, w1 = 3759.177, w2 = 3681.26, dw = -0.04722, nw = 1651 120627.0007.ec.fits: ap = 101, w1 = 3734.777, w2 = 3657.366, dw = -0.04692, nw = 1651 120627.0007.ec.fits: ap = 102, w1 = 3710.692, w2 = 3633.781, dw = -0.04661, nw = 1651 120627.0007.ec.fits: ap = 103, w1 = 3686.916, w2 = 3610.499, dw = -0.04631, nw = 1651 120627.0007.ec.fits: ap = 104, w1 = 3663.443, w2 = 3587.513, dw = -0.04602, nw = 1651 120627.0007.ec.fits: ap = 105, w1 = 3640.267, w2 = 3564.818, dw = -0.04573, nw = 1651 120627.0007.ec.fits: ap = 106, w1 = 3617.383, w2 = 3542.409, dw = -0.04544, nw = 1651 120627.0007.ec.fits: ap = 107, w1 = 3594.785, w2 = 3520.28, dw = -0.04515, nw = 1651 120627.0008.ec.fits: REFSPEC1 = '120627.0002.ec 0.79507369' 120627.0008.ec.fits: REFSPEC2 = '120627.0038.ec 0.2049263' 120627.0008.ec.fits: ap = 1, w1 = 10649.28, w2 = 10428.25, dw = -0.13395, nw = 1651 120627.0008.ec.fits: ap = 2, w1 = 10455.67, w2 = 10238.66, dw = -0.13152, nw = 1651 120627.0008.ec.fits: ap = 3, w1 = 10268.97, w2 = 10055.85, dw = -0.12917, nw = 1651 120627.0008.ec.fits: ap = 4, w1 = 10088.83, w2 = 9879.445, dw = -0.1269, nw = 1651 120627.0008.ec.fits: ap = 5, w1 = 9914.897, w2 = 9709.125, dw = -0.12471, nw = 1651 120627.0008.ec.fits: ap = 6, w1 = 9746.861, w2 = 9544.579, dw = -0.1226, nw = 1651 120627.0008.ec.fits: ap = 7, w1 = 9584.426, w2 = 9385.517, dw = -0.12055, nw = 1651 120627.0008.ec.fits: ap = 8, w1 = 9427.316, w2 = 9231.671, dw = -0.11857, nw = 1651 120627.0008.ec.fits: ap = 9, w1 = 9275.275, w2 = 9082.787, dw = -0.11666, nw = 1651 120627.0008.ec.fits: ap = 10, w1 = 9128.06, w2 = 8938.63, dw = -0.11481, nw = 1651 120627.0008.ec.fits: ap = 11, w1 = 8985.445, w2 = 8798.977, dw = -0.11301, nw = 1651 120627.0008.ec.fits: ap = 12, w1 = 8847.219, w2 = 8663.622, dw = -0.11127, nw = 1651 120627.0008.ec.fits: ap = 13, w1 = 8713.181, w2 = 8532.368, dw = -0.10958, nw = 1651 120627.0008.ec.fits: ap = 14, w1 = 8583.144, w2 = 8405.032, dw = -0.10795, nw = 1651 120627.0008.ec.fits: ap = 15, w1 = 8456.932, w2 = 8281.441, dw = -0.10636, nw = 1651 120627.0008.ec.fits: ap = 16, w1 = 8334.378, w2 = 8161.433, dw = -0.10482, nw = 1651 120627.0008.ec.fits: ap = 17, w1 = 8215.326, w2 = 8044.854, dw = -0.10332, nw = 1651 120627.0008.ec.fits: ap = 18, w1 = 8099.627, w2 = 7931.558, dw = -0.10186, nw = 1651 120627.0008.ec.fits: ap = 19, w1 = 7987.142, w2 = 7821.409, dw = -0.10044, nw = 1651 120627.0008.ec.fits: ap = 20, w1 = 7877.739, w2 = 7714.279, dw = -0.09907, nw = 1651 120627.0008.ec.fits: ap = 21, w1 = 7771.293, w2 = 7610.043, dw = -0.09773, nw = 1651 120627.0008.ec.fits: ap = 22, w1 = 7667.685, w2 = 7508.588, dw = -0.09642, nw = 1651 120627.0008.ec.fits: ap = 23, w1 = 7566.804, w2 = 7409.802, dw = -0.09515, nw = 1651 120627.0008.ec.fits: ap = 24, w1 = 7468.543, w2 = 7313.582, dw = -0.09392, nw = 1651 120627.0008.ec.fits: ap = 25, w1 = 7372.802, w2 = 7219.829, dw = -0.09271, nw = 1651 120627.0008.ec.fits: ap = 26, w1 = 7279.484, w2 = 7128.45, dw = -0.09154, nw = 1651 120627.0008.ec.fits: ap = 27, w1 = 7188.5, w2 = 7039.355, dw = -0.09039, nw = 1651 120627.0008.ec.fits: ap = 28, w1 = 7099.762, w2 = 6952.46, dw = -0.08927, nw = 1651 120627.0008.ec.fits: ap = 29, w1 = 7013.188, w2 = 6867.685, dw = -0.08818, nw = 1651 120627.0008.ec.fits: ap = 30, w1 = 6928.7, w2 = 6784.952, dw = -0.08712, nw = 1651 120627.0008.ec.fits: ap = 31, w1 = 6846.224, w2 = 6704.189, dw = -0.08608, nw = 1651 120627.0008.ec.fits: ap = 32, w1 = 6765.689, w2 = 6625.327, dw = -0.08507, nw = 1651 120627.0008.ec.fits: ap = 33, w1 = 6687.027, w2 = 6548.298, dw = -0.08408, nw = 1651 120627.0008.ec.fits: ap = 34, w1 = 6610.173, w2 = 6473.041, dw = -0.08311, nw = 1651 120627.0008.ec.fits: ap = 35, w1 = 6535.066, w2 = 6399.493, dw = -0.08216, nw = 1651 120627.0008.ec.fits: ap = 36, w1 = 6461.646, w2 = 6327.599, dw = -0.08124, nw = 1651 120627.0008.ec.fits: ap = 37, w1 = 6389.858, w2 = 6257.302, dw = -0.08034, nw = 1651 120627.0008.ec.fits: ap = 38, w1 = 6319.648, w2 = 6188.551, dw = -0.07945, nw = 1651 120627.0008.ec.fits: ap = 39, w1 = 6250.965, w2 = 6121.294, dw = -0.07859, nw = 1651 120627.0008.ec.fits: ap = 40, w1 = 6183.758, w2 = 6055.483, dw = -0.07774, nw = 1651 120627.0008.ec.fits: ap = 41, w1 = 6117.982, w2 = 5991.073, dw = -0.07691, nw = 1651 120627.0008.ec.fits: ap = 42, w1 = 6053.59, w2 = 5928.019, dw = -0.0761, nw = 1651 120627.0008.ec.fits: ap = 43, w1 = 5990.54, w2 = 5866.278, dw = -0.07531, nw = 1651 120627.0008.ec.fits: ap = 44, w1 = 5928.79, w2 = 5805.811, dw = -0.07453, nw = 1651 120627.0008.ec.fits: ap = 45, w1 = 5868.3, w2 = 5746.577, dw = -0.07377, nw = 1651 120627.0008.ec.fits: ap = 46, w1 = 5809.032, w2 = 5688.541, dw = -0.07303, nw = 1651 120627.0008.ec.fits: ap = 47, w1 = 5750.95, w2 = 5631.665, dw = -0.07229, nw = 1651 120627.0008.ec.fits: ap = 48, w1 = 5694.017, w2 = 5575.915, dw = -0.07158, nw = 1651 120627.0008.ec.fits: ap = 49, w1 = 5638.202, w2 = 5521.259, dw = -0.07087, nw = 1651 120627.0008.ec.fits: ap = 50, w1 = 5583.47, w2 = 5467.664, dw = -0.07019, nw = 1651 120627.0008.ec.fits: ap = 51, w1 = 5529.791, w2 = 5415.099, dw = -0.06951, nw = 1651 120627.0008.ec.fits: ap = 52, w1 = 5477.134, w2 = 5363.536, dw = -0.06885, nw = 1651 120627.0008.ec.fits: ap = 53, w1 = 5425.471, w2 = 5312.946, dw = -0.0682, nw = 1651 120627.0008.ec.fits: ap = 54, w1 = 5374.773, w2 = 5263.302, dw = -0.06756, nw = 1651 120627.0008.ec.fits: ap = 55, w1 = 5325.015, w2 = 5214.577, dw = -0.06693, nw = 1651 120627.0008.ec.fits: ap = 56, w1 = 5276.169, w2 = 5166.746, dw = -0.06632, nw = 1651 120627.0008.ec.fits: ap = 57, w1 = 5228.212, w2 = 5119.785, dw = -0.06571, nw = 1651 120627.0008.ec.fits: ap = 58, w1 = 5181.119, w2 = 5073.671, dw = -0.06512, nw = 1651 120627.0008.ec.fits: ap = 59, w1 = 5134.867, w2 = 5028.379, dw = -0.06454, nw = 1651 120627.0008.ec.fits: ap = 60, w1 = 5089.434, w2 = 4983.89, dw = -0.06397, nw = 1651 120627.0008.ec.fits: ap = 61, w1 = 5044.798, w2 = 4940.181, dw = -0.0634, nw = 1651 120627.0008.ec.fits: ap = 62, w1 = 5000.938, w2 = 4897.232, dw = -0.06285, nw = 1651 120627.0008.ec.fits: ap = 63, w1 = 4957.835, w2 = 4855.024, dw = -0.06231, nw = 1651 120627.0008.ec.fits: ap = 64, w1 = 4915.468, w2 = 4813.537, dw = -0.06178, nw = 1651 120627.0008.ec.fits: ap = 65, w1 = 4873.82, w2 = 4772.754, dw = -0.06125, nw = 1651 120627.0008.ec.fits: ap = 66, w1 = 4832.872, w2 = 4732.656, dw = -0.06074, nw = 1651 120627.0008.ec.fits: ap = 67, w1 = 4792.606, w2 = 4693.227, dw = -0.06023, nw = 1651 120627.0008.ec.fits: ap = 68, w1 = 4753.006, w2 = 4654.45, dw = -0.05973, nw = 1651 120627.0008.ec.fits: ap = 69, w1 = 4714.055, w2 = 4616.308, dw = -0.05924, nw = 1651 120627.0008.ec.fits: ap = 70, w1 = 4675.738, w2 = 4578.786, dw = -0.05876, nw = 1651 120627.0008.ec.fits: ap = 71, w1 = 4638.039, w2 = 4541.87, dw = -0.05828, nw = 1651 120627.0008.ec.fits: ap = 72, w1 = 4600.943, w2 = 4505.545, dw = -0.05782, nw = 1651 120627.0008.ec.fits: ap = 73, w1 = 4564.436, w2 = 4469.796, dw = -0.05736, nw = 1651 120627.0008.ec.fits: ap = 74, w1 = 4528.504, w2 = 4434.611, dw = -0.0569, nw = 1651 120627.0008.ec.fits: ap = 75, w1 = 4493.133, w2 = 4399.975, dw = -0.05646, nw = 1651 120627.0008.ec.fits: ap = 76, w1 = 4458.311, w2 = 4365.876, dw = -0.05602, nw = 1651 120627.0008.ec.fits: ap = 77, w1 = 4424.025, w2 = 4332.302, dw = -0.05559, nw = 1651 120627.0008.ec.fits: ap = 78, w1 = 4390.263, w2 = 4299.241, dw = -0.05516, nw = 1651 120627.0008.ec.fits: ap = 79, w1 = 4357.012, w2 = 4266.681, dw = -0.05475, nw = 1651 120627.0008.ec.fits: ap = 80, w1 = 4324.261, w2 = 4234.61, dw = -0.05433, nw = 1651 120627.0008.ec.fits: ap = 81, w1 = 4292., w2 = 4203.019, dw = -0.05393, nw = 1651 120627.0008.ec.fits: ap = 82, w1 = 4260.216, w2 = 4171.895, dw = -0.05353, nw = 1651 120627.0008.ec.fits: ap = 83, w1 = 4228.9, w2 = 4141.229, dw = -0.05313, nw = 1651 120627.0008.ec.fits: ap = 84, w1 = 4198.041, w2 = 4111.011, dw = -0.05275, nw = 1651 120627.0008.ec.fits: ap = 85, w1 = 4167.629, w2 = 4081.232, dw = -0.05236, nw = 1651 120627.0008.ec.fits: ap = 86, w1 = 4137.656, w2 = 4051.88, dw = -0.05199, nw = 1651 120627.0008.ec.fits: ap = 87, w1 = 4108.11, w2 = 4022.948, dw = -0.05161, nw = 1651 120627.0008.ec.fits: ap = 88, w1 = 4078.984, w2 = 3994.427, dw = -0.05125, nw = 1651 120627.0008.ec.fits: ap = 89, w1 = 4050.268, w2 = 3966.308, dw = -0.05089, nw = 1651 120627.0008.ec.fits: ap = 90, w1 = 4021.954, w2 = 3938.581, dw = -0.05053, nw = 1651 120627.0008.ec.fits: ap = 91, w1 = 3994.033, w2 = 3911.24, dw = -0.05018, nw = 1651 120627.0008.ec.fits: ap = 92, w1 = 3966.497, w2 = 3884.277, dw = -0.04983, nw = 1651 120627.0008.ec.fits: ap = 93, w1 = 3939.339, w2 = 3857.683, dw = -0.04949, nw = 1651 120627.0008.ec.fits: ap = 94, w1 = 3912.551, w2 = 3831.45, dw = -0.04915, nw = 1651 120627.0008.ec.fits: ap = 95, w1 = 3886.124, w2 = 3805.573, dw = -0.04882, nw = 1651 120627.0008.ec.fits: ap = 96, w1 = 3860.053, w2 = 3780.043, dw = -0.04849, nw = 1651 120627.0008.ec.fits: ap = 97, w1 = 3834.329, w2 = 3754.853, dw = -0.04817, nw = 1651 120627.0008.ec.fits: ap = 98, w1 = 3808.946, w2 = 3729.997, dw = -0.04785, nw = 1651 120627.0008.ec.fits: ap = 99, w1 = 3783.897, w2 = 3705.468, dw = -0.04753, nw = 1651 120627.0008.ec.fits: ap = 100, w1 = 3759.176, w2 = 3681.261, dw = -0.04722, nw = 1651 120627.0008.ec.fits: ap = 101, w1 = 3734.776, w2 = 3657.367, dw = -0.04691, nw = 1651 120627.0008.ec.fits: ap = 102, w1 = 3710.69, w2 = 3633.782, dw = -0.04661, nw = 1651 120627.0008.ec.fits: ap = 103, w1 = 3686.914, w2 = 3610.5, dw = -0.04631, nw = 1651 120627.0008.ec.fits: ap = 104, w1 = 3663.441, w2 = 3587.514, dw = -0.04602, nw = 1651 120627.0008.ec.fits: ap = 105, w1 = 3640.265, w2 = 3564.819, dw = -0.04572, nw = 1651 120627.0008.ec.fits: ap = 106, w1 = 3617.381, w2 = 3542.41, dw = -0.04544, nw = 1651 120627.0008.ec.fits: ap = 107, w1 = 3594.783, w2 = 3520.282, dw = -0.04515, nw = 1651 120627.0009.ec.fits: REFSPEC1 = '120627.0002.ec 0.73313695' 120627.0009.ec.fits: REFSPEC2 = '120627.0038.ec 0.26686302' 120627.0009.ec.fits: ap = 1, w1 = 10649.28, w2 = 10428.25, dw = -0.13396, nw = 1651 120627.0009.ec.fits: ap = 2, w1 = 10455.67, w2 = 10238.66, dw = -0.13152, nw = 1651 120627.0009.ec.fits: ap = 3, w1 = 10268.97, w2 = 10055.84, dw = -0.12917, nw = 1651 120627.0009.ec.fits: ap = 4, w1 = 10088.83, w2 = 9879.44, dw = -0.1269, nw = 1651 120627.0009.ec.fits: ap = 5, w1 = 9914.895, w2 = 9709.121, dw = -0.12471, nw = 1651 120627.0009.ec.fits: ap = 6, w1 = 9746.859, w2 = 9544.575, dw = -0.1226, nw = 1651 120627.0009.ec.fits: ap = 7, w1 = 9584.424, w2 = 9385.513, dw = -0.12055, nw = 1651 120627.0009.ec.fits: ap = 8, w1 = 9427.314, w2 = 9231.667, dw = -0.11857, nw = 1651 120627.0009.ec.fits: ap = 9, w1 = 9275.272, w2 = 9082.783, dw = -0.11666, nw = 1651 120627.0009.ec.fits: ap = 10, w1 = 9128.058, w2 = 8938.626, dw = -0.11481, nw = 1651 120627.0009.ec.fits: ap = 11, w1 = 8985.443, w2 = 8798.974, dw = -0.11301, nw = 1651 120627.0009.ec.fits: ap = 12, w1 = 8847.217, w2 = 8663.618, dw = -0.11127, nw = 1651 120627.0009.ec.fits: ap = 13, w1 = 8713.179, w2 = 8532.365, dw = -0.10958, nw = 1651 120627.0009.ec.fits: ap = 14, w1 = 8583.142, w2 = 8405.029, dw = -0.10795, nw = 1651 120627.0009.ec.fits: ap = 15, w1 = 8456.93, w2 = 8281.438, dw = -0.10636, nw = 1651 120627.0009.ec.fits: ap = 16, w1 = 8334.376, w2 = 8161.43, dw = -0.10482, nw = 1651 120627.0009.ec.fits: ap = 17, w1 = 8215.324, w2 = 8044.851, dw = -0.10332, nw = 1651 120627.0009.ec.fits: ap = 18, w1 = 8099.625, w2 = 7931.555, dw = -0.10186, nw = 1651 120627.0009.ec.fits: ap = 19, w1 = 7987.14, w2 = 7821.406, dw = -0.10044, nw = 1651 120627.0009.ec.fits: ap = 20, w1 = 7877.737, w2 = 7714.276, dw = -0.09907, nw = 1651 120627.0009.ec.fits: ap = 21, w1 = 7771.291, w2 = 7610.04, dw = -0.09773, nw = 1651 120627.0009.ec.fits: ap = 22, w1 = 7667.683, w2 = 7508.585, dw = -0.09642, nw = 1651 120627.0009.ec.fits: ap = 23, w1 = 7566.802, w2 = 7409.799, dw = -0.09515, nw = 1651 120627.0009.ec.fits: ap = 24, w1 = 7468.541, w2 = 7313.579, dw = -0.09392, nw = 1651 120627.0009.ec.fits: ap = 25, w1 = 7372.8, w2 = 7219.826, dw = -0.09271, nw = 1651 120627.0009.ec.fits: ap = 26, w1 = 7279.483, w2 = 7128.447, dw = -0.09154, nw = 1651 120627.0009.ec.fits: ap = 27, w1 = 7188.498, w2 = 7039.352, dw = -0.09039, nw = 1651 120627.0009.ec.fits: ap = 28, w1 = 7099.76, w2 = 6952.457, dw = -0.08927, nw = 1651 120627.0009.ec.fits: ap = 29, w1 = 7013.186, w2 = 6867.682, dw = -0.08818, nw = 1651 120627.0009.ec.fits: ap = 30, w1 = 6928.699, w2 = 6784.949, dw = -0.08712, nw = 1651 120627.0009.ec.fits: ap = 31, w1 = 6846.223, w2 = 6704.187, dw = -0.08608, nw = 1651 120627.0009.ec.fits: ap = 32, w1 = 6765.688, w2 = 6625.324, dw = -0.08507, nw = 1651 120627.0009.ec.fits: ap = 33, w1 = 6687.025, w2 = 6548.296, dw = -0.08408, nw = 1651 120627.0009.ec.fits: ap = 34, w1 = 6610.171, w2 = 6473.038, dw = -0.08311, nw = 1651 120627.0009.ec.fits: ap = 35, w1 = 6535.064, w2 = 6399.491, dw = -0.08217, nw = 1651 120627.0009.ec.fits: ap = 36, w1 = 6461.645, w2 = 6327.597, dw = -0.08124, nw = 1651 120627.0009.ec.fits: ap = 37, w1 = 6389.857, w2 = 6257.3, dw = -0.08034, nw = 1651 120627.0009.ec.fits: ap = 38, w1 = 6319.647, w2 = 6188.548, dw = -0.07945, nw = 1651 120627.0009.ec.fits: ap = 39, w1 = 6250.963, w2 = 6121.291, dw = -0.07859, nw = 1651 120627.0009.ec.fits: ap = 40, w1 = 6183.757, w2 = 6055.481, dw = -0.07774, nw = 1651 120627.0009.ec.fits: ap = 41, w1 = 6117.98, w2 = 5991.07, dw = -0.07692, nw = 1651 120627.0009.ec.fits: ap = 42, w1 = 6053.589, w2 = 5928.016, dw = -0.0761, nw = 1651 120627.0009.ec.fits: ap = 43, w1 = 5990.539, w2 = 5866.276, dw = -0.07531, nw = 1651 120627.0009.ec.fits: ap = 44, w1 = 5928.788, w2 = 5805.808, dw = -0.07453, nw = 1651 120627.0009.ec.fits: ap = 45, w1 = 5868.299, w2 = 5746.575, dw = -0.07377, nw = 1651 120627.0009.ec.fits: ap = 46, w1 = 5809.031, w2 = 5688.538, dw = -0.07303, nw = 1651 120627.0009.ec.fits: ap = 47, w1 = 5750.949, w2 = 5631.662, dw = -0.07229, nw = 1651 120627.0009.ec.fits: ap = 48, w1 = 5694.016, w2 = 5575.913, dw = -0.07158, nw = 1651 120627.0009.ec.fits: ap = 49, w1 = 5638.201, w2 = 5521.256, dw = -0.07088, nw = 1651 120627.0009.ec.fits: ap = 50, w1 = 5583.469, w2 = 5467.661, dw = -0.07019, nw = 1651 120627.0009.ec.fits: ap = 51, w1 = 5529.79, w2 = 5415.097, dw = -0.06951, nw = 1651 120627.0009.ec.fits: ap = 52, w1 = 5477.133, w2 = 5363.534, dw = -0.06885, nw = 1651 120627.0009.ec.fits: ap = 53, w1 = 5425.47, w2 = 5312.944, dw = -0.0682, nw = 1651 120627.0009.ec.fits: ap = 54, w1 = 5374.773, w2 = 5263.3, dw = -0.06756, nw = 1651 120627.0009.ec.fits: ap = 55, w1 = 5325.014, w2 = 5214.575, dw = -0.06693, nw = 1651 120627.0009.ec.fits: ap = 56, w1 = 5276.169, w2 = 5166.744, dw = -0.06632, nw = 1651 120627.0009.ec.fits: ap = 57, w1 = 5228.212, w2 = 5119.783, dw = -0.06571, nw = 1651 120627.0009.ec.fits: ap = 58, w1 = 5181.119, w2 = 5073.668, dw = -0.06512, nw = 1651 120627.0009.ec.fits: ap = 59, w1 = 5134.867, w2 = 5028.377, dw = -0.06454, nw = 1651 120627.0009.ec.fits: ap = 60, w1 = 5089.433, w2 = 4983.888, dw = -0.06397, nw = 1651 120627.0009.ec.fits: ap = 61, w1 = 5044.797, w2 = 4940.179, dw = -0.06341, nw = 1651 120627.0009.ec.fits: ap = 62, w1 = 5000.938, w2 = 4897.23, dw = -0.06285, nw = 1651 120627.0009.ec.fits: ap = 63, w1 = 4957.834, w2 = 4855.022, dw = -0.06231, nw = 1651 120627.0009.ec.fits: ap = 64, w1 = 4915.468, w2 = 4813.535, dw = -0.06178, nw = 1651 120627.0009.ec.fits: ap = 65, w1 = 4873.819, w2 = 4772.752, dw = -0.06125, nw = 1651 120627.0009.ec.fits: ap = 66, w1 = 4832.871, w2 = 4732.654, dw = -0.06074, nw = 1651 120627.0009.ec.fits: ap = 67, w1 = 4792.605, w2 = 4693.225, dw = -0.06023, nw = 1651 120627.0009.ec.fits: ap = 68, w1 = 4753.005, w2 = 4654.448, dw = -0.05973, nw = 1651 120627.0009.ec.fits: ap = 69, w1 = 4714.054, w2 = 4616.306, dw = -0.05924, nw = 1651 120627.0009.ec.fits: ap = 70, w1 = 4675.737, w2 = 4578.785, dw = -0.05876, nw = 1651 120627.0009.ec.fits: ap = 71, w1 = 4638.038, w2 = 4541.868, dw = -0.05828, nw = 1651 120627.0009.ec.fits: ap = 72, w1 = 4600.942, w2 = 4505.543, dw = -0.05782, nw = 1651 120627.0009.ec.fits: ap = 73, w1 = 4564.435, w2 = 4469.794, dw = -0.05736, nw = 1651 120627.0009.ec.fits: ap = 74, w1 = 4528.503, w2 = 4434.609, dw = -0.05691, nw = 1651 120627.0009.ec.fits: ap = 75, w1 = 4493.133, w2 = 4399.973, dw = -0.05646, nw = 1651 120627.0009.ec.fits: ap = 76, w1 = 4458.311, w2 = 4365.875, dw = -0.05602, nw = 1651 120627.0009.ec.fits: ap = 77, w1 = 4424.025, w2 = 4332.301, dw = -0.05559, nw = 1651 120627.0009.ec.fits: ap = 78, w1 = 4390.262, w2 = 4299.24, dw = -0.05517, nw = 1651 120627.0009.ec.fits: ap = 79, w1 = 4357.011, w2 = 4266.679, dw = -0.05475, nw = 1651 120627.0009.ec.fits: ap = 80, w1 = 4324.261, w2 = 4234.609, dw = -0.05433, nw = 1651 120627.0009.ec.fits: ap = 81, w1 = 4291.999, w2 = 4203.017, dw = -0.05393, nw = 1651 120627.0009.ec.fits: ap = 82, w1 = 4260.215, w2 = 4171.894, dw = -0.05353, nw = 1651 120627.0009.ec.fits: ap = 83, w1 = 4228.899, w2 = 4141.228, dw = -0.05313, nw = 1651 120627.0009.ec.fits: ap = 84, w1 = 4198.04, w2 = 4111.01, dw = -0.05275, nw = 1651 120627.0009.ec.fits: ap = 85, w1 = 4167.629, w2 = 4081.231, dw = -0.05236, nw = 1651 120627.0009.ec.fits: ap = 86, w1 = 4137.655, w2 = 4051.879, dw = -0.05199, nw = 1651 120627.0009.ec.fits: ap = 87, w1 = 4108.109, w2 = 4022.948, dw = -0.05161, nw = 1651 120627.0009.ec.fits: ap = 88, w1 = 4078.983, w2 = 3994.426, dw = -0.05125, nw = 1651 120627.0009.ec.fits: ap = 89, w1 = 4050.267, w2 = 3966.307, dw = -0.05088, nw = 1651 120627.0009.ec.fits: ap = 90, w1 = 4021.953, w2 = 3938.581, dw = -0.05053, nw = 1651 120627.0009.ec.fits: ap = 91, w1 = 3994.032, w2 = 3911.24, dw = -0.05018, nw = 1651 120627.0009.ec.fits: ap = 92, w1 = 3966.497, w2 = 3884.277, dw = -0.04983, nw = 1651 120627.0009.ec.fits: ap = 93, w1 = 3939.338, w2 = 3857.682, dw = -0.04949, nw = 1651 120627.0009.ec.fits: ap = 94, w1 = 3912.55, w2 = 3831.45, dw = -0.04915, nw = 1651 120627.0009.ec.fits: ap = 95, w1 = 3886.123, w2 = 3805.573, dw = -0.04882, nw = 1651 120627.0009.ec.fits: ap = 96, w1 = 3860.052, w2 = 3780.043, dw = -0.04849, nw = 1651 120627.0009.ec.fits: ap = 97, w1 = 3834.328, w2 = 3754.853, dw = -0.04817, nw = 1651 120627.0009.ec.fits: ap = 98, w1 = 3808.945, w2 = 3729.998, dw = -0.04785, nw = 1651 120627.0009.ec.fits: ap = 99, w1 = 3783.896, w2 = 3705.469, dw = -0.04753, nw = 1651 120627.0009.ec.fits: ap = 100, w1 = 3759.174, w2 = 3681.261, dw = -0.04722, nw = 1651 120627.0009.ec.fits: ap = 101, w1 = 3734.774, w2 = 3657.368, dw = -0.04691, nw = 1651 120627.0009.ec.fits: ap = 102, w1 = 3710.689, w2 = 3633.783, dw = -0.04661, nw = 1651 120627.0009.ec.fits: ap = 103, w1 = 3686.913, w2 = 3610.501, dw = -0.04631, nw = 1651 120627.0009.ec.fits: ap = 104, w1 = 3663.44, w2 = 3587.515, dw = -0.04601, nw = 1651 120627.0009.ec.fits: ap = 105, w1 = 3640.264, w2 = 3564.821, dw = -0.04572, nw = 1651 120627.0009.ec.fits: ap = 106, w1 = 3617.38, w2 = 3542.412, dw = -0.04543, nw = 1651 120627.0009.ec.fits: ap = 107, w1 = 3594.781, w2 = 3520.283, dw = -0.04515, nw = 1651 120627.0010.ec.fits: REFSPEC1 = '120627.0002.ec 0.66851109' 120627.0010.ec.fits: REFSPEC2 = '120627.0038.ec 0.33148888' 120627.0010.ec.fits: ap = 1, w1 = 10649.27, w2 = 10428.24, dw = -0.13396, nw = 1651 120627.0010.ec.fits: ap = 2, w1 = 10455.66, w2 = 10238.65, dw = -0.13152, nw = 1651 120627.0010.ec.fits: ap = 3, w1 = 10268.97, w2 = 10055.84, dw = -0.12917, nw = 1651 120627.0010.ec.fits: ap = 4, w1 = 10088.83, w2 = 9879.436, dw = -0.1269, nw = 1651 120627.0010.ec.fits: ap = 5, w1 = 9914.893, w2 = 9709.116, dw = -0.12471, nw = 1651 120627.0010.ec.fits: ap = 6, w1 = 9746.857, w2 = 9544.57, dw = -0.1226, nw = 1651 120627.0010.ec.fits: ap = 7, w1 = 9584.421, w2 = 9385.509, dw = -0.12055, nw = 1651 120627.0010.ec.fits: ap = 8, w1 = 9427.312, w2 = 9231.663, dw = -0.11858, nw = 1651 120627.0010.ec.fits: ap = 9, w1 = 9275.27, w2 = 9082.779, dw = -0.11666, nw = 1651 120627.0010.ec.fits: ap = 10, w1 = 9128.055, w2 = 8938.622, dw = -0.11481, nw = 1651 120627.0010.ec.fits: ap = 11, w1 = 8985.441, w2 = 8798.97, dw = -0.11301, nw = 1651 120627.0010.ec.fits: ap = 12, w1 = 8847.214, w2 = 8663.615, dw = -0.11127, nw = 1651 120627.0010.ec.fits: ap = 13, w1 = 8713.177, w2 = 8532.361, dw = -0.10959, nw = 1651 120627.0010.ec.fits: ap = 14, w1 = 8583.14, w2 = 8405.025, dw = -0.10795, nw = 1651 120627.0010.ec.fits: ap = 15, w1 = 8456.928, w2 = 8281.435, dw = -0.10636, nw = 1651 120627.0010.ec.fits: ap = 16, w1 = 8334.374, w2 = 8161.427, dw = -0.10482, nw = 1651 120627.0010.ec.fits: ap = 17, w1 = 8215.322, w2 = 8044.847, dw = -0.10332, nw = 1651 120627.0010.ec.fits: ap = 18, w1 = 8099.623, w2 = 7931.552, dw = -0.10186, nw = 1651 120627.0010.ec.fits: ap = 19, w1 = 7987.138, w2 = 7821.403, dw = -0.10045, nw = 1651 120627.0010.ec.fits: ap = 20, w1 = 7877.735, w2 = 7714.273, dw = -0.09907, nw = 1651 120627.0010.ec.fits: ap = 21, w1 = 7771.289, w2 = 7610.037, dw = -0.09773, nw = 1651 120627.0010.ec.fits: ap = 22, w1 = 7667.682, w2 = 7508.582, dw = -0.09642, nw = 1651 120627.0010.ec.fits: ap = 23, w1 = 7566.8, w2 = 7409.796, dw = -0.09515, nw = 1651 120627.0010.ec.fits: ap = 24, w1 = 7468.54, w2 = 7313.576, dw = -0.09392, nw = 1651 120627.0010.ec.fits: ap = 25, w1 = 7372.798, w2 = 7219.823, dw = -0.09271, nw = 1651 120627.0010.ec.fits: ap = 26, w1 = 7279.481, w2 = 7128.444, dw = -0.09154, nw = 1651 120627.0010.ec.fits: ap = 27, w1 = 7188.496, w2 = 7039.349, dw = -0.09039, nw = 1651 120627.0010.ec.fits: ap = 28, w1 = 7099.758, w2 = 6952.455, dw = -0.08927, nw = 1651 120627.0010.ec.fits: ap = 29, w1 = 7013.185, w2 = 6867.679, dw = -0.08819, nw = 1651 120627.0010.ec.fits: ap = 30, w1 = 6928.697, w2 = 6784.947, dw = -0.08712, nw = 1651 120627.0010.ec.fits: ap = 31, w1 = 6846.221, w2 = 6704.184, dw = -0.08608, nw = 1651 120627.0010.ec.fits: ap = 32, w1 = 6765.686, w2 = 6625.321, dw = -0.08507, nw = 1651 120627.0010.ec.fits: ap = 33, w1 = 6687.024, w2 = 6548.293, dw = -0.08408, nw = 1651 120627.0010.ec.fits: ap = 34, w1 = 6610.17, w2 = 6473.035, dw = -0.08311, nw = 1651 120627.0010.ec.fits: ap = 35, w1 = 6535.063, w2 = 6399.488, dw = -0.08217, nw = 1651 120627.0010.ec.fits: ap = 36, w1 = 6461.643, w2 = 6327.594, dw = -0.08124, nw = 1651 120627.0010.ec.fits: ap = 37, w1 = 6389.856, w2 = 6257.297, dw = -0.08034, nw = 1651 120627.0010.ec.fits: ap = 38, w1 = 6319.646, w2 = 6188.546, dw = -0.07945, nw = 1651 120627.0010.ec.fits: ap = 39, w1 = 6250.962, w2 = 6121.289, dw = -0.07859, nw = 1651 120627.0010.ec.fits: ap = 40, w1 = 6183.756, w2 = 6055.478, dw = -0.07774, nw = 1651 120627.0010.ec.fits: ap = 41, w1 = 6117.979, w2 = 5991.068, dw = -0.07692, nw = 1651 120627.0010.ec.fits: ap = 42, w1 = 6053.588, w2 = 5928.014, dw = -0.07611, nw = 1651 120627.0010.ec.fits: ap = 43, w1 = 5990.537, w2 = 5866.273, dw = -0.07531, nw = 1651 120627.0010.ec.fits: ap = 44, w1 = 5928.787, w2 = 5805.806, dw = -0.07453, nw = 1651 120627.0010.ec.fits: ap = 45, w1 = 5868.298, w2 = 5746.572, dw = -0.07377, nw = 1651 120627.0010.ec.fits: ap = 46, w1 = 5809.03, w2 = 5688.536, dw = -0.07303, nw = 1651 120627.0010.ec.fits: ap = 47, w1 = 5750.948, w2 = 5631.66, dw = -0.0723, nw = 1651 120627.0010.ec.fits: ap = 48, w1 = 5694.016, w2 = 5575.91, dw = -0.07158, nw = 1651 120627.0010.ec.fits: ap = 49, w1 = 5638.2, w2 = 5521.254, dw = -0.07088, nw = 1651 120627.0010.ec.fits: ap = 50, w1 = 5583.468, w2 = 5467.659, dw = -0.07019, nw = 1651 120627.0010.ec.fits: ap = 51, w1 = 5529.789, w2 = 5415.095, dw = -0.06951, nw = 1651 120627.0010.ec.fits: ap = 52, w1 = 5477.132, w2 = 5363.532, dw = -0.06885, nw = 1651 120627.0010.ec.fits: ap = 53, w1 = 5425.469, w2 = 5312.942, dw = -0.0682, nw = 1651 120627.0010.ec.fits: ap = 54, w1 = 5374.772, w2 = 5263.297, dw = -0.06756, nw = 1651 120627.0010.ec.fits: ap = 55, w1 = 5325.013, w2 = 5214.572, dw = -0.06693, nw = 1651 120627.0010.ec.fits: ap = 56, w1 = 5276.168, w2 = 5166.742, dw = -0.06632, nw = 1651 120627.0010.ec.fits: ap = 57, w1 = 5228.211, w2 = 5119.781, dw = -0.06572, nw = 1651 120627.0010.ec.fits: ap = 58, w1 = 5181.118, w2 = 5073.666, dw = -0.06512, nw = 1651 120627.0010.ec.fits: ap = 59, w1 = 5134.866, w2 = 5028.375, dw = -0.06454, nw = 1651 120627.0010.ec.fits: ap = 60, w1 = 5089.433, w2 = 4983.885, dw = -0.06397, nw = 1651 120627.0010.ec.fits: ap = 61, w1 = 5044.797, w2 = 4940.176, dw = -0.06341, nw = 1651 120627.0010.ec.fits: ap = 62, w1 = 5000.937, w2 = 4897.228, dw = -0.06285, nw = 1651 120627.0010.ec.fits: ap = 63, w1 = 4957.833, w2 = 4855.02, dw = -0.06231, nw = 1651 120627.0010.ec.fits: ap = 64, w1 = 4915.467, w2 = 4813.533, dw = -0.06178, nw = 1651 120627.0010.ec.fits: ap = 65, w1 = 4873.819, w2 = 4772.75, dw = -0.06125, nw = 1651 120627.0010.ec.fits: ap = 66, w1 = 4832.87, w2 = 4732.652, dw = -0.06074, nw = 1651 120627.0010.ec.fits: ap = 67, w1 = 4792.605, w2 = 4693.223, dw = -0.06023, nw = 1651 120627.0010.ec.fits: ap = 68, w1 = 4753.005, w2 = 4654.446, dw = -0.05973, nw = 1651 120627.0010.ec.fits: ap = 69, w1 = 4714.054, w2 = 4616.304, dw = -0.05924, nw = 1651 120627.0010.ec.fits: ap = 70, w1 = 4675.737, w2 = 4578.783, dw = -0.05876, nw = 1651 120627.0010.ec.fits: ap = 71, w1 = 4638.037, w2 = 4541.867, dw = -0.05829, nw = 1651 120627.0010.ec.fits: ap = 72, w1 = 4600.941, w2 = 4505.541, dw = -0.05782, nw = 1651 120627.0010.ec.fits: ap = 73, w1 = 4564.435, w2 = 4469.793, dw = -0.05736, nw = 1651 120627.0010.ec.fits: ap = 74, w1 = 4528.503, w2 = 4434.607, dw = -0.05691, nw = 1651 120627.0010.ec.fits: ap = 75, w1 = 4493.132, w2 = 4399.972, dw = -0.05646, nw = 1651 120627.0010.ec.fits: ap = 76, w1 = 4458.31, w2 = 4365.873, dw = -0.05602, nw = 1651 120627.0010.ec.fits: ap = 77, w1 = 4424.024, w2 = 4332.299, dw = -0.05559, nw = 1651 120627.0010.ec.fits: ap = 78, w1 = 4390.262, w2 = 4299.238, dw = -0.05517, nw = 1651 120627.0010.ec.fits: ap = 79, w1 = 4357.011, w2 = 4266.678, dw = -0.05475, nw = 1651 120627.0010.ec.fits: ap = 80, w1 = 4324.26, w2 = 4234.608, dw = -0.05433, nw = 1651 120627.0010.ec.fits: ap = 81, w1 = 4291.998, w2 = 4203.016, dw = -0.05393, nw = 1651 120627.0010.ec.fits: ap = 82, w1 = 4260.215, w2 = 4171.893, dw = -0.05353, nw = 1651 120627.0010.ec.fits: ap = 83, w1 = 4228.898, w2 = 4141.227, dw = -0.05313, nw = 1651 120627.0010.ec.fits: ap = 84, w1 = 4198.04, w2 = 4111.009, dw = -0.05275, nw = 1651 120627.0010.ec.fits: ap = 85, w1 = 4167.628, w2 = 4081.23, dw = -0.05236, nw = 1651 120627.0010.ec.fits: ap = 86, w1 = 4137.654, w2 = 4051.879, dw = -0.05199, nw = 1651 120627.0010.ec.fits: ap = 87, w1 = 4108.109, w2 = 4022.947, dw = -0.05161, nw = 1651 120627.0010.ec.fits: ap = 88, w1 = 4078.982, w2 = 3994.426, dw = -0.05125, nw = 1651 120627.0010.ec.fits: ap = 89, w1 = 4050.266, w2 = 3966.306, dw = -0.05088, nw = 1651 120627.0010.ec.fits: ap = 90, w1 = 4021.952, w2 = 3938.58, dw = -0.05053, nw = 1651 120627.0010.ec.fits: ap = 91, w1 = 3994.031, w2 = 3911.24, dw = -0.05018, nw = 1651 120627.0010.ec.fits: ap = 92, w1 = 3966.496, w2 = 3884.276, dw = -0.04983, nw = 1651 120627.0010.ec.fits: ap = 93, w1 = 3939.337, w2 = 3857.682, dw = -0.04949, nw = 1651 120627.0010.ec.fits: ap = 94, w1 = 3912.549, w2 = 3831.45, dw = -0.04915, nw = 1651 120627.0010.ec.fits: ap = 95, w1 = 3886.122, w2 = 3805.573, dw = -0.04882, nw = 1651 120627.0010.ec.fits: ap = 96, w1 = 3860.05, w2 = 3780.043, dw = -0.04849, nw = 1651 120627.0010.ec.fits: ap = 97, w1 = 3834.327, w2 = 3754.854, dw = -0.04817, nw = 1651 120627.0010.ec.fits: ap = 98, w1 = 3808.944, w2 = 3729.998, dw = -0.04785, nw = 1651 120627.0010.ec.fits: ap = 99, w1 = 3783.895, w2 = 3705.47, dw = -0.04753, nw = 1651 120627.0010.ec.fits: ap = 100, w1 = 3759.173, w2 = 3681.262, dw = -0.04722, nw = 1651 120627.0010.ec.fits: ap = 101, w1 = 3734.773, w2 = 3657.369, dw = -0.04691, nw = 1651 120627.0010.ec.fits: ap = 102, w1 = 3710.688, w2 = 3633.784, dw = -0.04661, nw = 1651 120627.0010.ec.fits: ap = 103, w1 = 3686.912, w2 = 3610.502, dw = -0.04631, nw = 1651 120627.0010.ec.fits: ap = 104, w1 = 3663.438, w2 = 3587.516, dw = -0.04601, nw = 1651 120627.0010.ec.fits: ap = 105, w1 = 3640.262, w2 = 3564.822, dw = -0.04572, nw = 1651 120627.0010.ec.fits: ap = 106, w1 = 3617.378, w2 = 3542.413, dw = -0.04543, nw = 1651 120627.0010.ec.fits: ap = 107, w1 = 3594.78, w2 = 3520.285, dw = -0.04515, nw = 1651 120627.0011.ec.fits: REFSPEC1 = '120627.0002.ec 0.59982693' 120627.0011.ec.fits: REFSPEC2 = '120627.0038.ec 0.40017304' 120627.0011.ec.fits: ap = 1, w1 = 10649.27, w2 = 10428.24, dw = -0.13396, nw = 1651 120627.0011.ec.fits: ap = 2, w1 = 10455.66, w2 = 10238.65, dw = -0.13152, nw = 1651 120627.0011.ec.fits: ap = 3, w1 = 10268.97, w2 = 10055.83, dw = -0.12917, nw = 1651 120627.0011.ec.fits: ap = 4, w1 = 10088.82, w2 = 9879.431, dw = -0.1269, nw = 1651 120627.0011.ec.fits: ap = 5, w1 = 9914.891, w2 = 9709.111, dw = -0.12471, nw = 1651 120627.0011.ec.fits: ap = 6, w1 = 9746.854, w2 = 9544.566, dw = -0.1226, nw = 1651 120627.0011.ec.fits: ap = 7, w1 = 9584.419, w2 = 9385.504, dw = -0.12055, nw = 1651 120627.0011.ec.fits: ap = 8, w1 = 9427.309, w2 = 9231.658, dw = -0.11858, nw = 1651 120627.0011.ec.fits: ap = 9, w1 = 9275.268, w2 = 9082.775, dw = -0.11666, nw = 1651 120627.0011.ec.fits: ap = 10, w1 = 9128.053, w2 = 8938.618, dw = -0.11481, nw = 1651 120627.0011.ec.fits: ap = 11, w1 = 8985.438, w2 = 8798.966, dw = -0.11301, nw = 1651 120627.0011.ec.fits: ap = 12, w1 = 8847.212, w2 = 8663.611, dw = -0.11127, nw = 1651 120627.0011.ec.fits: ap = 13, w1 = 8713.174, w2 = 8532.357, dw = -0.10959, nw = 1651 120627.0011.ec.fits: ap = 14, w1 = 8583.138, w2 = 8405.022, dw = -0.10795, nw = 1651 120627.0011.ec.fits: ap = 15, w1 = 8456.926, w2 = 8281.431, dw = -0.10636, nw = 1651 120627.0011.ec.fits: ap = 16, w1 = 8334.372, w2 = 8161.423, dw = -0.10482, nw = 1651 120627.0011.ec.fits: ap = 17, w1 = 8215.32, w2 = 8044.844, dw = -0.10332, nw = 1651 120627.0011.ec.fits: ap = 18, w1 = 8099.621, w2 = 7931.549, dw = -0.10186, nw = 1651 120627.0011.ec.fits: ap = 19, w1 = 7987.136, w2 = 7821.4, dw = -0.10045, nw = 1651 120627.0011.ec.fits: ap = 20, w1 = 7877.733, w2 = 7714.27, dw = -0.09907, nw = 1651 120627.0011.ec.fits: ap = 21, w1 = 7771.287, w2 = 7610.034, dw = -0.09773, nw = 1651 120627.0011.ec.fits: ap = 22, w1 = 7667.679, w2 = 7508.579, dw = -0.09642, nw = 1651 120627.0011.ec.fits: ap = 23, w1 = 7566.798, w2 = 7409.793, dw = -0.09515, nw = 1651 120627.0011.ec.fits: ap = 24, w1 = 7468.538, w2 = 7313.573, dw = -0.09392, nw = 1651 120627.0011.ec.fits: ap = 25, w1 = 7372.796, w2 = 7219.82, dw = -0.09271, nw = 1651 120627.0011.ec.fits: ap = 26, w1 = 7279.479, w2 = 7128.441, dw = -0.09154, nw = 1651 120627.0011.ec.fits: ap = 27, w1 = 7188.494, w2 = 7039.347, dw = -0.09039, nw = 1651 120627.0011.ec.fits: ap = 28, w1 = 7099.756, w2 = 6952.452, dw = -0.08928, nw = 1651 120627.0011.ec.fits: ap = 29, w1 = 7013.183, w2 = 6867.676, dw = -0.08819, nw = 1651 120627.0011.ec.fits: ap = 30, w1 = 6928.695, w2 = 6784.944, dw = -0.08712, nw = 1651 120627.0011.ec.fits: ap = 31, w1 = 6846.22, w2 = 6704.181, dw = -0.08608, nw = 1651 120627.0011.ec.fits: ap = 32, w1 = 6765.684, w2 = 6625.319, dw = -0.08507, nw = 1651 120627.0011.ec.fits: ap = 33, w1 = 6687.022, w2 = 6548.29, dw = -0.08408, nw = 1651 120627.0011.ec.fits: ap = 34, w1 = 6610.168, w2 = 6473.033, dw = -0.08311, nw = 1651 120627.0011.ec.fits: ap = 35, w1 = 6535.061, w2 = 6399.485, dw = -0.08217, nw = 1651 120627.0011.ec.fits: ap = 36, w1 = 6461.642, w2 = 6327.591, dw = -0.08124, nw = 1651 120627.0011.ec.fits: ap = 37, w1 = 6389.854, w2 = 6257.294, dw = -0.08034, nw = 1651 120627.0011.ec.fits: ap = 38, w1 = 6319.644, w2 = 6188.543, dw = -0.07946, nw = 1651 120627.0011.ec.fits: ap = 39, w1 = 6250.961, w2 = 6121.286, dw = -0.07859, nw = 1651 120627.0011.ec.fits: ap = 40, w1 = 6183.754, w2 = 6055.475, dw = -0.07774, nw = 1651 120627.0011.ec.fits: ap = 41, w1 = 6117.978, w2 = 5991.065, dw = -0.07692, nw = 1651 120627.0011.ec.fits: ap = 42, w1 = 6053.586, w2 = 5928.011, dw = -0.07611, nw = 1651 120627.0011.ec.fits: ap = 43, w1 = 5990.536, w2 = 5866.27, dw = -0.07531, nw = 1651 120627.0011.ec.fits: ap = 44, w1 = 5928.786, w2 = 5805.803, dw = -0.07454, nw = 1651 120627.0011.ec.fits: ap = 45, w1 = 5868.296, w2 = 5746.569, dw = -0.07377, nw = 1651 120627.0011.ec.fits: ap = 46, w1 = 5809.029, w2 = 5688.533, dw = -0.07303, nw = 1651 120627.0011.ec.fits: ap = 47, w1 = 5750.947, w2 = 5631.657, dw = -0.0723, nw = 1651 120627.0011.ec.fits: ap = 48, w1 = 5694.014, w2 = 5575.907, dw = -0.07158, nw = 1651 120627.0011.ec.fits: ap = 49, w1 = 5638.199, w2 = 5521.251, dw = -0.07088, nw = 1651 120627.0011.ec.fits: ap = 50, w1 = 5583.467, w2 = 5467.656, dw = -0.07019, nw = 1651 120627.0011.ec.fits: ap = 51, w1 = 5529.788, w2 = 5415.092, dw = -0.06951, nw = 1651 120627.0011.ec.fits: ap = 52, w1 = 5477.131, w2 = 5363.529, dw = -0.06885, nw = 1651 120627.0011.ec.fits: ap = 53, w1 = 5425.468, w2 = 5312.939, dw = -0.0682, nw = 1651 120627.0011.ec.fits: ap = 54, w1 = 5374.771, w2 = 5263.295, dw = -0.06756, nw = 1651 120627.0011.ec.fits: ap = 55, w1 = 5325.012, w2 = 5214.57, dw = -0.06693, nw = 1651 120627.0011.ec.fits: ap = 56, w1 = 5276.167, w2 = 5166.739, dw = -0.06632, nw = 1651 120627.0011.ec.fits: ap = 57, w1 = 5228.21, w2 = 5119.778, dw = -0.06572, nw = 1651 120627.0011.ec.fits: ap = 58, w1 = 5181.117, w2 = 5073.663, dw = -0.06512, nw = 1651 120627.0011.ec.fits: ap = 59, w1 = 5134.865, w2 = 5028.372, dw = -0.06454, nw = 1651 120627.0011.ec.fits: ap = 60, w1 = 5089.432, w2 = 4983.883, dw = -0.06397, nw = 1651 120627.0011.ec.fits: ap = 61, w1 = 5044.796, w2 = 4940.174, dw = -0.06341, nw = 1651 120627.0011.ec.fits: ap = 62, w1 = 5000.936, w2 = 4897.225, dw = -0.06286, nw = 1651 120627.0011.ec.fits: ap = 63, w1 = 4957.833, w2 = 4855.017, dw = -0.06231, nw = 1651 120627.0011.ec.fits: ap = 64, w1 = 4915.466, w2 = 4813.531, dw = -0.06178, nw = 1651 120627.0011.ec.fits: ap = 65, w1 = 4873.818, w2 = 4772.748, dw = -0.06125, nw = 1651 120627.0011.ec.fits: ap = 66, w1 = 4832.87, w2 = 4732.65, dw = -0.06074, nw = 1651 120627.0011.ec.fits: ap = 67, w1 = 4792.604, w2 = 4693.221, dw = -0.06023, nw = 1651 120627.0011.ec.fits: ap = 68, w1 = 4753.004, w2 = 4654.443, dw = -0.05973, nw = 1651 120627.0011.ec.fits: ap = 69, w1 = 4714.053, w2 = 4616.302, dw = -0.05924, nw = 1651 120627.0011.ec.fits: ap = 70, w1 = 4675.736, w2 = 4578.78, dw = -0.05876, nw = 1651 120627.0011.ec.fits: ap = 71, w1 = 4638.037, w2 = 4541.864, dw = -0.05829, nw = 1651 120627.0011.ec.fits: ap = 72, w1 = 4600.941, w2 = 4505.539, dw = -0.05782, nw = 1651 120627.0011.ec.fits: ap = 73, w1 = 4564.434, w2 = 4469.791, dw = -0.05736, nw = 1651 120627.0011.ec.fits: ap = 74, w1 = 4528.502, w2 = 4434.605, dw = -0.05691, nw = 1651 120627.0011.ec.fits: ap = 75, w1 = 4493.132, w2 = 4399.97, dw = -0.05646, nw = 1651 120627.0011.ec.fits: ap = 76, w1 = 4458.31, w2 = 4365.871, dw = -0.05602, nw = 1651 120627.0011.ec.fits: ap = 77, w1 = 4424.024, w2 = 4332.298, dw = -0.05559, nw = 1651 120627.0011.ec.fits: ap = 78, w1 = 4390.261, w2 = 4299.236, dw = -0.05517, nw = 1651 120627.0011.ec.fits: ap = 79, w1 = 4357.01, w2 = 4266.677, dw = -0.05475, nw = 1651 120627.0011.ec.fits: ap = 80, w1 = 4324.259, w2 = 4234.606, dw = -0.05434, nw = 1651 120627.0011.ec.fits: ap = 81, w1 = 4291.998, w2 = 4203.015, dw = -0.05393, nw = 1651 120627.0011.ec.fits: ap = 82, w1 = 4260.214, w2 = 4171.891, dw = -0.05353, nw = 1651 120627.0011.ec.fits: ap = 83, w1 = 4228.898, w2 = 4141.226, dw = -0.05313, nw = 1651 120627.0011.ec.fits: ap = 84, w1 = 4198.039, w2 = 4111.008, dw = -0.05275, nw = 1651 120627.0011.ec.fits: ap = 85, w1 = 4167.627, w2 = 4081.229, dw = -0.05236, nw = 1651 120627.0011.ec.fits: ap = 86, w1 = 4137.653, w2 = 4051.878, dw = -0.05199, nw = 1651 120627.0011.ec.fits: ap = 87, w1 = 4108.108, w2 = 4022.946, dw = -0.05161, nw = 1651 120627.0011.ec.fits: ap = 88, w1 = 4078.981, w2 = 3994.425, dw = -0.05125, nw = 1651 120627.0011.ec.fits: ap = 89, w1 = 4050.265, w2 = 3966.306, dw = -0.05088, nw = 1651 120627.0011.ec.fits: ap = 90, w1 = 4021.951, w2 = 3938.58, dw = -0.05053, nw = 1651 120627.0011.ec.fits: ap = 91, w1 = 3994.03, w2 = 3911.239, dw = -0.05018, nw = 1651 120627.0011.ec.fits: ap = 92, w1 = 3966.495, w2 = 3884.276, dw = -0.04983, nw = 1651 120627.0011.ec.fits: ap = 93, w1 = 3939.336, w2 = 3857.682, dw = -0.04949, nw = 1651 120627.0011.ec.fits: ap = 94, w1 = 3912.548, w2 = 3831.45, dw = -0.04915, nw = 1651 120627.0011.ec.fits: ap = 95, w1 = 3886.121, w2 = 3805.573, dw = -0.04882, nw = 1651 120627.0011.ec.fits: ap = 96, w1 = 3860.049, w2 = 3780.043, dw = -0.04849, nw = 1651 120627.0011.ec.fits: ap = 97, w1 = 3834.325, w2 = 3754.854, dw = -0.04816, nw = 1651 120627.0011.ec.fits: ap = 98, w1 = 3808.942, w2 = 3729.998, dw = -0.04784, nw = 1651 120627.0011.ec.fits: ap = 99, w1 = 3783.893, w2 = 3705.47, dw = -0.04753, nw = 1651 120627.0011.ec.fits: ap = 100, w1 = 3759.172, w2 = 3681.263, dw = -0.04722, nw = 1651 120627.0011.ec.fits: ap = 101, w1 = 3734.772, w2 = 3657.37, dw = -0.04691, nw = 1651 120627.0011.ec.fits: ap = 102, w1 = 3710.686, w2 = 3633.785, dw = -0.04661, nw = 1651 120627.0011.ec.fits: ap = 103, w1 = 3686.91, w2 = 3610.503, dw = -0.04631, nw = 1651 120627.0011.ec.fits: ap = 104, w1 = 3663.437, w2 = 3587.518, dw = -0.04601, nw = 1651 120627.0011.ec.fits: ap = 105, w1 = 3640.261, w2 = 3564.824, dw = -0.04572, nw = 1651 120627.0011.ec.fits: ap = 106, w1 = 3617.376, w2 = 3542.415, dw = -0.04543, nw = 1651 120627.0011.ec.fits: ap = 107, w1 = 3594.778, w2 = 3520.287, dw = -0.04515, nw = 1651 120627.0012.ec.fits: REFSPEC1 = '120627.0002.ec 0.5241645' 120627.0012.ec.fits: REFSPEC2 = '120627.0038.ec 0.4758355' 120627.0012.ec.fits: ap = 1, w1 = 10649.27, w2 = 10428.23, dw = -0.13396, nw = 1651 120627.0012.ec.fits: ap = 2, w1 = 10455.66, w2 = 10238.64, dw = -0.13152, nw = 1651 120627.0012.ec.fits: ap = 3, w1 = 10268.96, w2 = 10055.83, dw = -0.12917, nw = 1651 120627.0012.ec.fits: ap = 4, w1 = 10088.82, w2 = 9879.425, dw = -0.12691, nw = 1651 120627.0012.ec.fits: ap = 5, w1 = 9914.888, w2 = 9709.106, dw = -0.12472, nw = 1651 120627.0012.ec.fits: ap = 6, w1 = 9746.851, w2 = 9544.56, dw = -0.1226, nw = 1651 120627.0012.ec.fits: ap = 7, w1 = 9584.416, w2 = 9385.5, dw = -0.12056, nw = 1651 120627.0012.ec.fits: ap = 8, w1 = 9427.307, w2 = 9231.654, dw = -0.11858, nw = 1651 120627.0012.ec.fits: ap = 9, w1 = 9275.265, w2 = 9082.771, dw = -0.11666, nw = 1651 120627.0012.ec.fits: ap = 10, w1 = 9128.05, w2 = 8938.614, dw = -0.11481, nw = 1651 120627.0012.ec.fits: ap = 11, w1 = 8985.436, w2 = 8798.962, dw = -0.11301, nw = 1651 120627.0012.ec.fits: ap = 12, w1 = 8847.209, w2 = 8663.607, dw = -0.11127, nw = 1651 120627.0012.ec.fits: ap = 13, w1 = 8713.172, w2 = 8532.353, dw = -0.10959, nw = 1651 120627.0012.ec.fits: ap = 14, w1 = 8583.135, w2 = 8405.018, dw = -0.10795, nw = 1651 120627.0012.ec.fits: ap = 15, w1 = 8456.923, w2 = 8281.428, dw = -0.10636, nw = 1651 120627.0012.ec.fits: ap = 16, w1 = 8334.369, w2 = 8161.42, dw = -0.10482, nw = 1651 120627.0012.ec.fits: ap = 17, w1 = 8215.317, w2 = 8044.84, dw = -0.10332, nw = 1651 120627.0012.ec.fits: ap = 18, w1 = 8099.619, w2 = 7931.545, dw = -0.10186, nw = 1651 120627.0012.ec.fits: ap = 19, w1 = 7987.134, w2 = 7821.397, dw = -0.10045, nw = 1651 120627.0012.ec.fits: ap = 20, w1 = 7877.731, w2 = 7714.266, dw = -0.09907, nw = 1651 120627.0012.ec.fits: ap = 21, w1 = 7771.285, w2 = 7610.031, dw = -0.09773, nw = 1651 120627.0012.ec.fits: ap = 22, w1 = 7667.677, w2 = 7508.575, dw = -0.09643, nw = 1651 120627.0012.ec.fits: ap = 23, w1 = 7566.796, w2 = 7409.79, dw = -0.09516, nw = 1651 120627.0012.ec.fits: ap = 24, w1 = 7468.535, w2 = 7313.57, dw = -0.09392, nw = 1651 120627.0012.ec.fits: ap = 25, w1 = 7372.794, w2 = 7219.817, dw = -0.09271, nw = 1651 120627.0012.ec.fits: ap = 26, w1 = 7279.477, w2 = 7128.438, dw = -0.09154, nw = 1651 120627.0012.ec.fits: ap = 27, w1 = 7188.492, w2 = 7039.343, dw = -0.09039, nw = 1651 120627.0012.ec.fits: ap = 28, w1 = 7099.754, w2 = 6952.449, dw = -0.08928, nw = 1651 120627.0012.ec.fits: ap = 29, w1 = 7013.181, w2 = 6867.673, dw = -0.08819, nw = 1651 120627.0012.ec.fits: ap = 30, w1 = 6928.694, w2 = 6784.941, dw = -0.08712, nw = 1651 120627.0012.ec.fits: ap = 31, w1 = 6846.218, w2 = 6704.178, dw = -0.08608, nw = 1651 120627.0012.ec.fits: ap = 32, w1 = 6765.683, w2 = 6625.315, dw = -0.08507, nw = 1651 120627.0012.ec.fits: ap = 33, w1 = 6687.02, w2 = 6548.287, dw = -0.08408, nw = 1651 120627.0012.ec.fits: ap = 34, w1 = 6610.167, w2 = 6473.03, dw = -0.08311, nw = 1651 120627.0012.ec.fits: ap = 35, w1 = 6535.06, w2 = 6399.482, dw = -0.08217, nw = 1651 120627.0012.ec.fits: ap = 36, w1 = 6461.64, w2 = 6327.588, dw = -0.08124, nw = 1651 120627.0012.ec.fits: ap = 37, w1 = 6389.853, w2 = 6257.291, dw = -0.08034, nw = 1651 120627.0012.ec.fits: ap = 38, w1 = 6319.643, w2 = 6188.54, dw = -0.07946, nw = 1651 120627.0012.ec.fits: ap = 39, w1 = 6250.959, w2 = 6121.283, dw = -0.07859, nw = 1651 120627.0012.ec.fits: ap = 40, w1 = 6183.753, w2 = 6055.472, dw = -0.07775, nw = 1651 120627.0012.ec.fits: ap = 41, w1 = 6117.977, w2 = 5991.062, dw = -0.07692, nw = 1651 120627.0012.ec.fits: ap = 42, w1 = 6053.585, w2 = 5928.008, dw = -0.07611, nw = 1651 120627.0012.ec.fits: ap = 43, w1 = 5990.535, w2 = 5866.267, dw = -0.07531, nw = 1651 120627.0012.ec.fits: ap = 44, w1 = 5928.785, w2 = 5805.8, dw = -0.07454, nw = 1651 120627.0012.ec.fits: ap = 45, w1 = 5868.295, w2 = 5746.566, dw = -0.07377, nw = 1651 120627.0012.ec.fits: ap = 46, w1 = 5809.028, w2 = 5688.53, dw = -0.07303, nw = 1651 120627.0012.ec.fits: ap = 47, w1 = 5750.945, w2 = 5631.654, dw = -0.0723, nw = 1651 120627.0012.ec.fits: ap = 48, w1 = 5694.013, w2 = 5575.904, dw = -0.07158, nw = 1651 120627.0012.ec.fits: ap = 49, w1 = 5638.198, w2 = 5521.248, dw = -0.07088, nw = 1651 120627.0012.ec.fits: ap = 50, w1 = 5583.466, w2 = 5467.653, dw = -0.07019, nw = 1651 120627.0012.ec.fits: ap = 51, w1 = 5529.787, w2 = 5415.089, dw = -0.06951, nw = 1651 120627.0012.ec.fits: ap = 52, w1 = 5477.13, w2 = 5363.526, dw = -0.06885, nw = 1651 120627.0012.ec.fits: ap = 53, w1 = 5425.467, w2 = 5312.936, dw = -0.0682, nw = 1651 120627.0012.ec.fits: ap = 54, w1 = 5374.77, w2 = 5263.292, dw = -0.06756, nw = 1651 120627.0012.ec.fits: ap = 55, w1 = 5325.011, w2 = 5214.567, dw = -0.06694, nw = 1651 120627.0012.ec.fits: ap = 56, w1 = 5276.166, w2 = 5166.736, dw = -0.06632, nw = 1651 120627.0012.ec.fits: ap = 57, w1 = 5228.209, w2 = 5119.775, dw = -0.06572, nw = 1651 120627.0012.ec.fits: ap = 58, w1 = 5181.116, w2 = 5073.661, dw = -0.06512, nw = 1651 120627.0012.ec.fits: ap = 59, w1 = 5134.864, w2 = 5028.369, dw = -0.06454, nw = 1651 120627.0012.ec.fits: ap = 60, w1 = 5089.431, w2 = 4983.88, dw = -0.06397, nw = 1651 120627.0012.ec.fits: ap = 61, w1 = 5044.795, w2 = 4940.171, dw = -0.06341, nw = 1651 120627.0012.ec.fits: ap = 62, w1 = 5000.935, w2 = 4897.223, dw = -0.06286, nw = 1651 120627.0012.ec.fits: ap = 63, w1 = 4957.832, w2 = 4855.015, dw = -0.06231, nw = 1651 120627.0012.ec.fits: ap = 64, w1 = 4915.466, w2 = 4813.528, dw = -0.06178, nw = 1651 120627.0012.ec.fits: ap = 65, w1 = 4873.817, w2 = 4772.745, dw = -0.06126, nw = 1651 120627.0012.ec.fits: ap = 66, w1 = 4832.869, w2 = 4732.647, dw = -0.06074, nw = 1651 120627.0012.ec.fits: ap = 67, w1 = 4792.603, w2 = 4693.218, dw = -0.06023, nw = 1651 120627.0012.ec.fits: ap = 68, w1 = 4753.003, w2 = 4654.441, dw = -0.05973, nw = 1651 120627.0012.ec.fits: ap = 69, w1 = 4714.053, w2 = 4616.299, dw = -0.05924, nw = 1651 120627.0012.ec.fits: ap = 70, w1 = 4675.735, w2 = 4578.778, dw = -0.05876, nw = 1651 120627.0012.ec.fits: ap = 71, w1 = 4638.036, w2 = 4541.862, dw = -0.05829, nw = 1651 120627.0012.ec.fits: ap = 72, w1 = 4600.94, w2 = 4505.537, dw = -0.05782, nw = 1651 120627.0012.ec.fits: ap = 73, w1 = 4564.433, w2 = 4469.789, dw = -0.05736, nw = 1651 120627.0012.ec.fits: ap = 74, w1 = 4528.501, w2 = 4434.603, dw = -0.05691, nw = 1651 120627.0012.ec.fits: ap = 75, w1 = 4493.131, w2 = 4399.968, dw = -0.05646, nw = 1651 120627.0012.ec.fits: ap = 76, w1 = 4458.309, w2 = 4365.869, dw = -0.05602, nw = 1651 120627.0012.ec.fits: ap = 77, w1 = 4424.023, w2 = 4332.296, dw = -0.05559, nw = 1651 120627.0012.ec.fits: ap = 78, w1 = 4390.26, w2 = 4299.235, dw = -0.05517, nw = 1651 120627.0012.ec.fits: ap = 79, w1 = 4357.009, w2 = 4266.675, dw = -0.05475, nw = 1651 120627.0012.ec.fits: ap = 80, w1 = 4324.259, w2 = 4234.605, dw = -0.05434, nw = 1651 120627.0012.ec.fits: ap = 81, w1 = 4291.997, w2 = 4203.013, dw = -0.05393, nw = 1651 120627.0012.ec.fits: ap = 82, w1 = 4260.213, w2 = 4171.89, dw = -0.05353, nw = 1651 120627.0012.ec.fits: ap = 83, w1 = 4228.897, w2 = 4141.225, dw = -0.05313, nw = 1651 120627.0012.ec.fits: ap = 84, w1 = 4198.038, w2 = 4111.007, dw = -0.05275, nw = 1651 120627.0012.ec.fits: ap = 85, w1 = 4167.626, w2 = 4081.228, dw = -0.05236, nw = 1651 120627.0012.ec.fits: ap = 86, w1 = 4137.652, w2 = 4051.877, dw = -0.05199, nw = 1651 120627.0012.ec.fits: ap = 87, w1 = 4108.107, w2 = 4022.945, dw = -0.05161, nw = 1651 120627.0012.ec.fits: ap = 88, w1 = 4078.98, w2 = 3994.424, dw = -0.05125, nw = 1651 120627.0012.ec.fits: ap = 89, w1 = 4050.264, w2 = 3966.305, dw = -0.05088, nw = 1651 120627.0012.ec.fits: ap = 90, w1 = 4021.95, w2 = 3938.579, dw = -0.05053, nw = 1651 120627.0012.ec.fits: ap = 91, w1 = 3994.029, w2 = 3911.239, dw = -0.05018, nw = 1651 120627.0012.ec.fits: ap = 92, w1 = 3966.494, w2 = 3884.276, dw = -0.04983, nw = 1651 120627.0012.ec.fits: ap = 93, w1 = 3939.335, w2 = 3857.682, dw = -0.04949, nw = 1651 120627.0012.ec.fits: ap = 94, w1 = 3912.546, w2 = 3831.45, dw = -0.04915, nw = 1651 120627.0012.ec.fits: ap = 95, w1 = 3886.12, w2 = 3805.573, dw = -0.04882, nw = 1651 120627.0012.ec.fits: ap = 96, w1 = 3860.048, w2 = 3780.043, dw = -0.04849, nw = 1651 120627.0012.ec.fits: ap = 97, w1 = 3834.324, w2 = 3754.854, dw = -0.04816, nw = 1651 120627.0012.ec.fits: ap = 98, w1 = 3808.941, w2 = 3729.999, dw = -0.04784, nw = 1651 120627.0012.ec.fits: ap = 99, w1 = 3783.892, w2 = 3705.471, dw = -0.04753, nw = 1651 120627.0012.ec.fits: ap = 100, w1 = 3759.17, w2 = 3681.263, dw = -0.04722, nw = 1651 120627.0012.ec.fits: ap = 101, w1 = 3734.77, w2 = 3657.371, dw = -0.04691, nw = 1651 120627.0012.ec.fits: ap = 102, w1 = 3710.685, w2 = 3633.786, dw = -0.04661, nw = 1651 120627.0012.ec.fits: ap = 103, w1 = 3686.908, w2 = 3610.504, dw = -0.04631, nw = 1651 120627.0012.ec.fits: ap = 104, w1 = 3663.435, w2 = 3587.519, dw = -0.04601, nw = 1651 120627.0012.ec.fits: ap = 105, w1 = 3640.259, w2 = 3564.825, dw = -0.04572, nw = 1651 120627.0012.ec.fits: ap = 106, w1 = 3617.374, w2 = 3542.417, dw = -0.04543, nw = 1651 120627.0012.ec.fits: ap = 107, w1 = 3594.776, w2 = 3520.289, dw = -0.04514, nw = 1651 120627.0013.ec.fits: REFSPEC1 = '120627.0002.ec 0.43956634' 120627.0013.ec.fits: REFSPEC2 = '120627.0038.ec 0.56043363' 120627.0013.ec.fits: ap = 1, w1 = 10649.27, w2 = 10428.22, dw = -0.13396, nw = 1651 120627.0013.ec.fits: ap = 2, w1 = 10455.66, w2 = 10238.64, dw = -0.13153, nw = 1651 120627.0013.ec.fits: ap = 3, w1 = 10268.96, w2 = 10055.82, dw = -0.12918, nw = 1651 120627.0013.ec.fits: ap = 4, w1 = 10088.82, w2 = 9879.419, dw = -0.12691, nw = 1651 120627.0013.ec.fits: ap = 5, w1 = 9914.885, w2 = 9709.1, dw = -0.12472, nw = 1651 120627.0013.ec.fits: ap = 6, w1 = 9746.849, w2 = 9544.555, dw = -0.1226, nw = 1651 120627.0013.ec.fits: ap = 7, w1 = 9584.413, w2 = 9385.494, dw = -0.12056, nw = 1651 120627.0013.ec.fits: ap = 8, w1 = 9427.304, w2 = 9231.648, dw = -0.11858, nw = 1651 120627.0013.ec.fits: ap = 9, w1 = 9275.262, w2 = 9082.765, dw = -0.11666, nw = 1651 120627.0013.ec.fits: ap = 10, w1 = 9128.047, w2 = 8938.609, dw = -0.11481, nw = 1651 120627.0013.ec.fits: ap = 11, w1 = 8985.433, w2 = 8798.957, dw = -0.11302, nw = 1651 120627.0013.ec.fits: ap = 12, w1 = 8847.207, w2 = 8663.602, dw = -0.11128, nw = 1651 120627.0013.ec.fits: ap = 13, w1 = 8713.169, w2 = 8532.349, dw = -0.10959, nw = 1651 120627.0013.ec.fits: ap = 14, w1 = 8583.132, w2 = 8405.013, dw = -0.10795, nw = 1651 120627.0013.ec.fits: ap = 15, w1 = 8456.92, w2 = 8281.423, dw = -0.10636, nw = 1651 120627.0013.ec.fits: ap = 16, w1 = 8334.367, w2 = 8161.415, dw = -0.10482, nw = 1651 120627.0013.ec.fits: ap = 17, w1 = 8215.315, w2 = 8044.836, dw = -0.10332, nw = 1651 120627.0013.ec.fits: ap = 18, w1 = 8099.616, w2 = 7931.541, dw = -0.10186, nw = 1651 120627.0013.ec.fits: ap = 19, w1 = 7987.131, w2 = 7821.393, dw = -0.10045, nw = 1651 120627.0013.ec.fits: ap = 20, w1 = 7877.728, w2 = 7714.262, dw = -0.09907, nw = 1651 120627.0013.ec.fits: ap = 21, w1 = 7771.282, w2 = 7610.027, dw = -0.09773, nw = 1651 120627.0013.ec.fits: ap = 22, w1 = 7667.675, w2 = 7508.572, dw = -0.09643, nw = 1651 120627.0013.ec.fits: ap = 23, w1 = 7566.794, w2 = 7409.786, dw = -0.09516, nw = 1651 120627.0013.ec.fits: ap = 24, w1 = 7468.533, w2 = 7313.566, dw = -0.09392, nw = 1651 120627.0013.ec.fits: ap = 25, w1 = 7372.792, w2 = 7219.813, dw = -0.09271, nw = 1651 120627.0013.ec.fits: ap = 26, w1 = 7279.474, w2 = 7128.434, dw = -0.09154, nw = 1651 120627.0013.ec.fits: ap = 27, w1 = 7188.49, w2 = 7039.34, dw = -0.09039, nw = 1651 120627.0013.ec.fits: ap = 28, w1 = 7099.752, w2 = 6952.445, dw = -0.08928, nw = 1651 120627.0013.ec.fits: ap = 29, w1 = 7013.179, w2 = 6867.67, dw = -0.08819, nw = 1651 120627.0013.ec.fits: ap = 30, w1 = 6928.691, w2 = 6784.937, dw = -0.08712, nw = 1651 120627.0013.ec.fits: ap = 31, w1 = 6846.216, w2 = 6704.174, dw = -0.08609, nw = 1651 120627.0013.ec.fits: ap = 32, w1 = 6765.681, w2 = 6625.312, dw = -0.08507, nw = 1651 120627.0013.ec.fits: ap = 33, w1 = 6687.019, w2 = 6548.284, dw = -0.08408, nw = 1651 120627.0013.ec.fits: ap = 34, w1 = 6610.165, w2 = 6473.026, dw = -0.08311, nw = 1651 120627.0013.ec.fits: ap = 35, w1 = 6535.058, w2 = 6399.479, dw = -0.08217, nw = 1651 120627.0013.ec.fits: ap = 36, w1 = 6461.639, w2 = 6327.585, dw = -0.08124, nw = 1651 120627.0013.ec.fits: ap = 37, w1 = 6389.851, w2 = 6257.288, dw = -0.08034, nw = 1651 120627.0013.ec.fits: ap = 38, w1 = 6319.641, w2 = 6188.536, dw = -0.07946, nw = 1651 120627.0013.ec.fits: ap = 39, w1 = 6250.958, w2 = 6121.279, dw = -0.07859, nw = 1651 120627.0013.ec.fits: ap = 40, w1 = 6183.751, w2 = 6055.469, dw = -0.07775, nw = 1651 120627.0013.ec.fits: ap = 41, w1 = 6117.975, w2 = 5991.059, dw = -0.07692, nw = 1651 120627.0013.ec.fits: ap = 42, w1 = 6053.583, w2 = 5928.004, dw = -0.07611, nw = 1651 120627.0013.ec.fits: ap = 43, w1 = 5990.533, w2 = 5866.264, dw = -0.07531, nw = 1651 120627.0013.ec.fits: ap = 44, w1 = 5928.783, w2 = 5805.796, dw = -0.07454, nw = 1651 120627.0013.ec.fits: ap = 45, w1 = 5868.294, w2 = 5746.563, dw = -0.07378, nw = 1651 120627.0013.ec.fits: ap = 46, w1 = 5809.026, w2 = 5688.526, dw = -0.07303, nw = 1651 120627.0013.ec.fits: ap = 47, w1 = 5750.944, w2 = 5631.651, dw = -0.0723, nw = 1651 120627.0013.ec.fits: ap = 48, w1 = 5694.012, w2 = 5575.901, dw = -0.07158, nw = 1651 120627.0013.ec.fits: ap = 49, w1 = 5638.196, w2 = 5521.245, dw = -0.07088, nw = 1651 120627.0013.ec.fits: ap = 50, w1 = 5583.465, w2 = 5467.65, dw = -0.07019, nw = 1651 120627.0013.ec.fits: ap = 51, w1 = 5529.786, w2 = 5415.086, dw = -0.06952, nw = 1651 120627.0013.ec.fits: ap = 52, w1 = 5477.129, w2 = 5363.523, dw = -0.06885, nw = 1651 120627.0013.ec.fits: ap = 53, w1 = 5425.466, w2 = 5312.933, dw = -0.0682, nw = 1651 120627.0013.ec.fits: ap = 54, w1 = 5374.769, w2 = 5263.289, dw = -0.06756, nw = 1651 120627.0013.ec.fits: ap = 55, w1 = 5325.01, w2 = 5214.564, dw = -0.06694, nw = 1651 120627.0013.ec.fits: ap = 56, w1 = 5276.165, w2 = 5166.733, dw = -0.06632, nw = 1651 120627.0013.ec.fits: ap = 57, w1 = 5228.208, w2 = 5119.772, dw = -0.06572, nw = 1651 120627.0013.ec.fits: ap = 58, w1 = 5181.115, w2 = 5073.657, dw = -0.06513, nw = 1651 120627.0013.ec.fits: ap = 59, w1 = 5134.863, w2 = 5028.366, dw = -0.06454, nw = 1651 120627.0013.ec.fits: ap = 60, w1 = 5089.43, w2 = 4983.877, dw = -0.06397, nw = 1651 120627.0013.ec.fits: ap = 61, w1 = 5044.794, w2 = 4940.168, dw = -0.06341, nw = 1651 120627.0013.ec.fits: ap = 62, w1 = 5000.934, w2 = 4897.22, dw = -0.06286, nw = 1651 120627.0013.ec.fits: ap = 63, w1 = 4957.831, w2 = 4855.012, dw = -0.06231, nw = 1651 120627.0013.ec.fits: ap = 64, w1 = 4915.465, w2 = 4813.525, dw = -0.06178, nw = 1651 120627.0013.ec.fits: ap = 65, w1 = 4873.816, w2 = 4772.742, dw = -0.06126, nw = 1651 120627.0013.ec.fits: ap = 66, w1 = 4832.868, w2 = 4732.645, dw = -0.06074, nw = 1651 120627.0013.ec.fits: ap = 67, w1 = 4792.602, w2 = 4693.216, dw = -0.06023, nw = 1651 120627.0013.ec.fits: ap = 68, w1 = 4753.002, w2 = 4654.438, dw = -0.05974, nw = 1651 120627.0013.ec.fits: ap = 69, w1 = 4714.052, w2 = 4616.297, dw = -0.05925, nw = 1651 120627.0013.ec.fits: ap = 70, w1 = 4675.734, w2 = 4578.776, dw = -0.05876, nw = 1651 120627.0013.ec.fits: ap = 71, w1 = 4638.035, w2 = 4541.86, dw = -0.05829, nw = 1651 120627.0013.ec.fits: ap = 72, w1 = 4600.939, w2 = 4505.535, dw = -0.05782, nw = 1651 120627.0013.ec.fits: ap = 73, w1 = 4564.432, w2 = 4469.786, dw = -0.05736, nw = 1651 120627.0013.ec.fits: ap = 74, w1 = 4528.5, w2 = 4434.601, dw = -0.05691, nw = 1651 120627.0013.ec.fits: ap = 75, w1 = 4493.13, w2 = 4399.966, dw = -0.05646, nw = 1651 120627.0013.ec.fits: ap = 76, w1 = 4458.308, w2 = 4365.867, dw = -0.05602, nw = 1651 120627.0013.ec.fits: ap = 77, w1 = 4424.022, w2 = 4332.294, dw = -0.05559, nw = 1651 120627.0013.ec.fits: ap = 78, w1 = 4390.259, w2 = 4299.233, dw = -0.05517, nw = 1651 120627.0013.ec.fits: ap = 79, w1 = 4357.009, w2 = 4266.673, dw = -0.05475, nw = 1651 120627.0013.ec.fits: ap = 80, w1 = 4324.258, w2 = 4234.603, dw = -0.05434, nw = 1651 120627.0013.ec.fits: ap = 81, w1 = 4291.996, w2 = 4203.012, dw = -0.05393, nw = 1651 120627.0013.ec.fits: ap = 82, w1 = 4260.212, w2 = 4171.888, dw = -0.05353, nw = 1651 120627.0013.ec.fits: ap = 83, w1 = 4228.896, w2 = 4141.223, dw = -0.05314, nw = 1651 120627.0013.ec.fits: ap = 84, w1 = 4198.037, w2 = 4111.006, dw = -0.05275, nw = 1651 120627.0013.ec.fits: ap = 85, w1 = 4167.625, w2 = 4081.226, dw = -0.05236, nw = 1651 120627.0013.ec.fits: ap = 86, w1 = 4137.651, w2 = 4051.875, dw = -0.05199, nw = 1651 120627.0013.ec.fits: ap = 87, w1 = 4108.106, w2 = 4022.944, dw = -0.05161, nw = 1651 120627.0013.ec.fits: ap = 88, w1 = 4078.979, w2 = 3994.423, dw = -0.05125, nw = 1651 120627.0013.ec.fits: ap = 89, w1 = 4050.263, w2 = 3966.304, dw = -0.05088, nw = 1651 120627.0013.ec.fits: ap = 90, w1 = 4021.949, w2 = 3938.579, dw = -0.05053, nw = 1651 120627.0013.ec.fits: ap = 91, w1 = 3994.028, w2 = 3911.238, dw = -0.05018, nw = 1651 120627.0013.ec.fits: ap = 92, w1 = 3966.492, w2 = 3884.275, dw = -0.04983, nw = 1651 120627.0013.ec.fits: ap = 93, w1 = 3939.334, w2 = 3857.682, dw = -0.04949, nw = 1651 120627.0013.ec.fits: ap = 94, w1 = 3912.545, w2 = 3831.45, dw = -0.04915, nw = 1651 120627.0013.ec.fits: ap = 95, w1 = 3886.118, w2 = 3805.573, dw = -0.04882, nw = 1651 120627.0013.ec.fits: ap = 96, w1 = 3860.047, w2 = 3780.044, dw = -0.04849, nw = 1651 120627.0013.ec.fits: ap = 97, w1 = 3834.323, w2 = 3754.855, dw = -0.04816, nw = 1651 120627.0013.ec.fits: ap = 98, w1 = 3808.939, w2 = 3729.999, dw = -0.04784, nw = 1651 120627.0013.ec.fits: ap = 99, w1 = 3783.89, w2 = 3705.472, dw = -0.04753, nw = 1651 120627.0013.ec.fits: ap = 100, w1 = 3759.169, w2 = 3681.264, dw = -0.04721, nw = 1651 120627.0013.ec.fits: ap = 101, w1 = 3734.768, w2 = 3657.372, dw = -0.04691, nw = 1651 120627.0013.ec.fits: ap = 102, w1 = 3710.683, w2 = 3633.787, dw = -0.0466, nw = 1651 120627.0013.ec.fits: ap = 103, w1 = 3686.907, w2 = 3610.506, dw = -0.0463, nw = 1651 120627.0013.ec.fits: ap = 104, w1 = 3663.433, w2 = 3587.521, dw = -0.04601, nw = 1651 120627.0013.ec.fits: ap = 105, w1 = 3640.257, w2 = 3564.827, dw = -0.04572, nw = 1651 120627.0013.ec.fits: ap = 106, w1 = 3617.372, w2 = 3542.419, dw = -0.04543, nw = 1651 120627.0013.ec.fits: ap = 107, w1 = 3594.774, w2 = 3520.291, dw = -0.04514, nw = 1651 120627.0014.ec.fits: REFSPEC1 = '120627.0002.ec 0.34521541' 120627.0014.ec.fits: REFSPEC2 = '120627.0038.ec 0.65478462' 120627.0014.ec.fits: ap = 1, w1 = 10649.26, w2 = 10428.22, dw = -0.13397, nw = 1651 120627.0014.ec.fits: ap = 2, w1 = 10455.65, w2 = 10238.63, dw = -0.13153, nw = 1651 120627.0014.ec.fits: ap = 3, w1 = 10268.96, w2 = 10055.81, dw = -0.12918, nw = 1651 120627.0014.ec.fits: ap = 4, w1 = 10088.81, w2 = 9879.412, dw = -0.12691, nw = 1651 120627.0014.ec.fits: ap = 5, w1 = 9914.882, w2 = 9709.094, dw = -0.12472, nw = 1651 120627.0014.ec.fits: ap = 6, w1 = 9746.845, w2 = 9544.548, dw = -0.1226, nw = 1651 120627.0014.ec.fits: ap = 7, w1 = 9584.41, w2 = 9385.488, dw = -0.12056, nw = 1651 120627.0014.ec.fits: ap = 8, w1 = 9427.3, w2 = 9231.642, dw = -0.11858, nw = 1651 120627.0014.ec.fits: ap = 9, w1 = 9275.259, w2 = 9082.76, dw = -0.11667, nw = 1651 120627.0014.ec.fits: ap = 10, w1 = 9128.044, w2 = 8938.603, dw = -0.11481, nw = 1651 120627.0014.ec.fits: ap = 11, w1 = 8985.43, w2 = 8798.952, dw = -0.11302, nw = 1651 120627.0014.ec.fits: ap = 12, w1 = 8847.203, w2 = 8663.597, dw = -0.11128, nw = 1651 120627.0014.ec.fits: ap = 13, w1 = 8713.166, w2 = 8532.344, dw = -0.10959, nw = 1651 120627.0014.ec.fits: ap = 14, w1 = 8583.129, w2 = 8405.009, dw = -0.10795, nw = 1651 120627.0014.ec.fits: ap = 15, w1 = 8456.917, w2 = 8281.418, dw = -0.10636, nw = 1651 120627.0014.ec.fits: ap = 16, w1 = 8334.364, w2 = 8161.411, dw = -0.10482, nw = 1651 120627.0014.ec.fits: ap = 17, w1 = 8215.312, w2 = 8044.832, dw = -0.10332, nw = 1651 120627.0014.ec.fits: ap = 18, w1 = 8099.613, w2 = 7931.536, dw = -0.10186, nw = 1651 120627.0014.ec.fits: ap = 19, w1 = 7987.128, w2 = 7821.388, dw = -0.10045, nw = 1651 120627.0014.ec.fits: ap = 20, w1 = 7877.725, w2 = 7714.258, dw = -0.09907, nw = 1651 120627.0014.ec.fits: ap = 21, w1 = 7771.279, w2 = 7610.023, dw = -0.09773, nw = 1651 120627.0014.ec.fits: ap = 22, w1 = 7667.672, w2 = 7508.567, dw = -0.09643, nw = 1651 120627.0014.ec.fits: ap = 23, w1 = 7566.791, w2 = 7409.782, dw = -0.09516, nw = 1651 120627.0014.ec.fits: ap = 24, w1 = 7468.53, w2 = 7313.562, dw = -0.09392, nw = 1651 120627.0014.ec.fits: ap = 25, w1 = 7372.789, w2 = 7219.809, dw = -0.09271, nw = 1651 120627.0014.ec.fits: ap = 26, w1 = 7279.472, w2 = 7128.43, dw = -0.09154, nw = 1651 120627.0014.ec.fits: ap = 27, w1 = 7188.487, w2 = 7039.336, dw = -0.0904, nw = 1651 120627.0014.ec.fits: ap = 28, w1 = 7099.75, w2 = 6952.441, dw = -0.08928, nw = 1651 120627.0014.ec.fits: ap = 29, w1 = 7013.176, w2 = 6867.666, dw = -0.08819, nw = 1651 120627.0014.ec.fits: ap = 30, w1 = 6928.689, w2 = 6784.933, dw = -0.08712, nw = 1651 120627.0014.ec.fits: ap = 31, w1 = 6846.213, w2 = 6704.17, dw = -0.08609, nw = 1651 120627.0014.ec.fits: ap = 32, w1 = 6765.678, w2 = 6625.308, dw = -0.08507, nw = 1651 120627.0014.ec.fits: ap = 33, w1 = 6687.016, w2 = 6548.28, dw = -0.08408, nw = 1651 120627.0014.ec.fits: ap = 34, w1 = 6610.163, w2 = 6473.022, dw = -0.08312, nw = 1651 120627.0014.ec.fits: ap = 35, w1 = 6535.056, w2 = 6399.475, dw = -0.08217, nw = 1651 120627.0014.ec.fits: ap = 36, w1 = 6461.636, w2 = 6327.581, dw = -0.08125, nw = 1651 120627.0014.ec.fits: ap = 37, w1 = 6389.849, w2 = 6257.284, dw = -0.08034, nw = 1651 120627.0014.ec.fits: ap = 38, w1 = 6319.639, w2 = 6188.533, dw = -0.07946, nw = 1651 120627.0014.ec.fits: ap = 39, w1 = 6250.956, w2 = 6121.276, dw = -0.07859, nw = 1651 120627.0014.ec.fits: ap = 40, w1 = 6183.749, w2 = 6055.465, dw = -0.07775, nw = 1651 120627.0014.ec.fits: ap = 41, w1 = 6117.973, w2 = 5991.055, dw = -0.07692, nw = 1651 120627.0014.ec.fits: ap = 42, w1 = 6053.582, w2 = 5928.001, dw = -0.07611, nw = 1651 120627.0014.ec.fits: ap = 43, w1 = 5990.532, w2 = 5866.26, dw = -0.07532, nw = 1651 120627.0014.ec.fits: ap = 44, w1 = 5928.782, w2 = 5805.793, dw = -0.07454, nw = 1651 120627.0014.ec.fits: ap = 45, w1 = 5868.292, w2 = 5746.559, dw = -0.07378, nw = 1651 120627.0014.ec.fits: ap = 46, w1 = 5809.025, w2 = 5688.523, dw = -0.07303, nw = 1651 120627.0014.ec.fits: ap = 47, w1 = 5750.943, w2 = 5631.647, dw = -0.0723, nw = 1651 120627.0014.ec.fits: ap = 48, w1 = 5694.011, w2 = 5575.897, dw = -0.07158, nw = 1651 120627.0014.ec.fits: ap = 49, w1 = 5638.195, w2 = 5521.241, dw = -0.07088, nw = 1651 120627.0014.ec.fits: ap = 50, w1 = 5583.463, w2 = 5467.646, dw = -0.07019, nw = 1651 120627.0014.ec.fits: ap = 51, w1 = 5529.784, w2 = 5415.082, dw = -0.06952, nw = 1651 120627.0014.ec.fits: ap = 52, w1 = 5477.128, w2 = 5363.519, dw = -0.06885, nw = 1651 120627.0014.ec.fits: ap = 53, w1 = 5425.465, w2 = 5312.929, dw = -0.0682, nw = 1651 120627.0014.ec.fits: ap = 54, w1 = 5374.768, w2 = 5263.285, dw = -0.06757, nw = 1651 120627.0014.ec.fits: ap = 55, w1 = 5325.009, w2 = 5214.56, dw = -0.06694, nw = 1651 120627.0014.ec.fits: ap = 56, w1 = 5276.164, w2 = 5166.73, dw = -0.06632, nw = 1651 120627.0014.ec.fits: ap = 57, w1 = 5228.207, w2 = 5119.769, dw = -0.06572, nw = 1651 120627.0014.ec.fits: ap = 58, w1 = 5181.114, w2 = 5073.654, dw = -0.06513, nw = 1651 120627.0014.ec.fits: ap = 59, w1 = 5134.862, w2 = 5028.363, dw = -0.06455, nw = 1651 120627.0014.ec.fits: ap = 60, w1 = 5089.429, w2 = 4983.874, dw = -0.06397, nw = 1651 120627.0014.ec.fits: ap = 61, w1 = 5044.793, w2 = 4940.165, dw = -0.06341, nw = 1651 120627.0014.ec.fits: ap = 62, w1 = 5000.934, w2 = 4897.216, dw = -0.06286, nw = 1651 120627.0014.ec.fits: ap = 63, w1 = 4957.83, w2 = 4855.008, dw = -0.06232, nw = 1651 120627.0014.ec.fits: ap = 64, w1 = 4915.464, w2 = 4813.522, dw = -0.06178, nw = 1651 120627.0014.ec.fits: ap = 65, w1 = 4873.815, w2 = 4772.739, dw = -0.06126, nw = 1651 120627.0014.ec.fits: ap = 66, w1 = 4832.867, w2 = 4732.642, dw = -0.06074, nw = 1651 120627.0014.ec.fits: ap = 67, w1 = 4792.602, w2 = 4693.212, dw = -0.06024, nw = 1651 120627.0014.ec.fits: ap = 68, w1 = 4753.002, w2 = 4654.435, dw = -0.05974, nw = 1651 120627.0014.ec.fits: ap = 69, w1 = 4714.051, w2 = 4616.294, dw = -0.05925, nw = 1651 120627.0014.ec.fits: ap = 70, w1 = 4675.734, w2 = 4578.773, dw = -0.05876, nw = 1651 120627.0014.ec.fits: ap = 71, w1 = 4638.034, w2 = 4541.857, dw = -0.05829, nw = 1651 120627.0014.ec.fits: ap = 72, w1 = 4600.938, w2 = 4505.532, dw = -0.05782, nw = 1651 120627.0014.ec.fits: ap = 73, w1 = 4564.432, w2 = 4469.784, dw = -0.05736, nw = 1651 120627.0014.ec.fits: ap = 74, w1 = 4528.5, w2 = 4434.598, dw = -0.05691, nw = 1651 120627.0014.ec.fits: ap = 75, w1 = 4493.129, w2 = 4399.963, dw = -0.05646, nw = 1651 120627.0014.ec.fits: ap = 76, w1 = 4458.307, w2 = 4365.865, dw = -0.05603, nw = 1651 120627.0014.ec.fits: ap = 77, w1 = 4424.021, w2 = 4332.291, dw = -0.05559, nw = 1651 120627.0014.ec.fits: ap = 78, w1 = 4390.259, w2 = 4299.231, dw = -0.05517, nw = 1651 120627.0014.ec.fits: ap = 79, w1 = 4357.008, w2 = 4266.671, dw = -0.05475, nw = 1651 120627.0014.ec.fits: ap = 80, w1 = 4324.257, w2 = 4234.601, dw = -0.05434, nw = 1651 120627.0014.ec.fits: ap = 81, w1 = 4291.995, w2 = 4203.01, dw = -0.05393, nw = 1651 120627.0014.ec.fits: ap = 82, w1 = 4260.211, w2 = 4171.887, dw = -0.05353, nw = 1651 120627.0014.ec.fits: ap = 83, w1 = 4228.895, w2 = 4141.221, dw = -0.05314, nw = 1651 120627.0014.ec.fits: ap = 84, w1 = 4198.036, w2 = 4111.004, dw = -0.05275, nw = 1651 120627.0014.ec.fits: ap = 85, w1 = 4167.624, w2 = 4081.225, dw = -0.05236, nw = 1651 120627.0014.ec.fits: ap = 86, w1 = 4137.65, w2 = 4051.874, dw = -0.05199, nw = 1651 120627.0014.ec.fits: ap = 87, w1 = 4108.105, w2 = 4022.943, dw = -0.05161, nw = 1651 120627.0014.ec.fits: ap = 88, w1 = 4078.978, w2 = 3994.422, dw = -0.05125, nw = 1651 120627.0014.ec.fits: ap = 89, w1 = 4050.262, w2 = 3966.303, dw = -0.05088, nw = 1651 120627.0014.ec.fits: ap = 90, w1 = 4021.948, w2 = 3938.578, dw = -0.05053, nw = 1651 120627.0014.ec.fits: ap = 91, w1 = 3994.027, w2 = 3911.238, dw = -0.05018, nw = 1651 120627.0014.ec.fits: ap = 92, w1 = 3966.491, w2 = 3884.275, dw = -0.04983, nw = 1651 120627.0014.ec.fits: ap = 93, w1 = 3939.332, w2 = 3857.681, dw = -0.04949, nw = 1651 120627.0014.ec.fits: ap = 94, w1 = 3912.544, w2 = 3831.45, dw = -0.04915, nw = 1651 120627.0014.ec.fits: ap = 95, w1 = 3886.117, w2 = 3805.573, dw = -0.04881, nw = 1651 120627.0014.ec.fits: ap = 96, w1 = 3860.045, w2 = 3780.044, dw = -0.04849, nw = 1651 120627.0014.ec.fits: ap = 97, w1 = 3834.321, w2 = 3754.855, dw = -0.04816, nw = 1651 120627.0014.ec.fits: ap = 98, w1 = 3808.938, w2 = 3730., dw = -0.04784, nw = 1651 120627.0014.ec.fits: ap = 99, w1 = 3783.889, w2 = 3705.472, dw = -0.04752, nw = 1651 120627.0014.ec.fits: ap = 100, w1 = 3759.167, w2 = 3681.265, dw = -0.04721, nw = 1651 120627.0014.ec.fits: ap = 101, w1 = 3734.767, w2 = 3657.373, dw = -0.04691, nw = 1651 120627.0014.ec.fits: ap = 102, w1 = 3710.681, w2 = 3633.789, dw = -0.0466, nw = 1651 120627.0014.ec.fits: ap = 103, w1 = 3686.905, w2 = 3610.507, dw = -0.0463, nw = 1651 120627.0014.ec.fits: ap = 104, w1 = 3663.431, w2 = 3587.523, dw = -0.046, nw = 1651 120627.0014.ec.fits: ap = 105, w1 = 3640.255, w2 = 3564.829, dw = -0.04571, nw = 1651 120627.0014.ec.fits: ap = 106, w1 = 3617.37, w2 = 3542.421, dw = -0.04542, nw = 1651 120627.0014.ec.fits: ap = 107, w1 = 3594.772, w2 = 3520.293, dw = -0.04514, nw = 1651 120627.0015.ec.fits: REFSPEC1 = '120627.0002.ec 0.25697324' 120627.0015.ec.fits: REFSPEC2 = '120627.0038.ec 0.74302673' 120627.0015.ec.fits: ap = 1, w1 = 10649.26, w2 = 10428.21, dw = -0.13397, nw = 1651 120627.0015.ec.fits: ap = 2, w1 = 10455.65, w2 = 10238.62, dw = -0.13153, nw = 1651 120627.0015.ec.fits: ap = 3, w1 = 10268.96, w2 = 10055.81, dw = -0.12918, nw = 1651 120627.0015.ec.fits: ap = 4, w1 = 10088.81, w2 = 9879.406, dw = -0.12691, nw = 1651 120627.0015.ec.fits: ap = 5, w1 = 9914.878, w2 = 9709.087, dw = -0.12472, nw = 1651 120627.0015.ec.fits: ap = 6, w1 = 9746.842, w2 = 9544.542, dw = -0.12261, nw = 1651 120627.0015.ec.fits: ap = 7, w1 = 9584.407, w2 = 9385.482, dw = -0.12056, nw = 1651 120627.0015.ec.fits: ap = 8, w1 = 9427.297, w2 = 9231.637, dw = -0.11858, nw = 1651 120627.0015.ec.fits: ap = 9, w1 = 9275.256, w2 = 9082.754, dw = -0.11667, nw = 1651 120627.0015.ec.fits: ap = 10, w1 = 9128.041, w2 = 8938.598, dw = -0.11481, nw = 1651 120627.0015.ec.fits: ap = 11, w1 = 8985.427, w2 = 8798.947, dw = -0.11302, nw = 1651 120627.0015.ec.fits: ap = 12, w1 = 8847.2, w2 = 8663.592, dw = -0.11128, nw = 1651 120627.0015.ec.fits: ap = 13, w1 = 8713.163, w2 = 8532.339, dw = -0.10959, nw = 1651 120627.0015.ec.fits: ap = 14, w1 = 8583.126, w2 = 8405.004, dw = -0.10795, nw = 1651 120627.0015.ec.fits: ap = 15, w1 = 8456.914, w2 = 8281.414, dw = -0.10636, nw = 1651 120627.0015.ec.fits: ap = 16, w1 = 8334.361, w2 = 8161.406, dw = -0.10482, nw = 1651 120627.0015.ec.fits: ap = 17, w1 = 8215.309, w2 = 8044.827, dw = -0.10332, nw = 1651 120627.0015.ec.fits: ap = 18, w1 = 8099.61, w2 = 7931.532, dw = -0.10187, nw = 1651 120627.0015.ec.fits: ap = 19, w1 = 7987.126, w2 = 7821.384, dw = -0.10045, nw = 1651 120627.0015.ec.fits: ap = 20, w1 = 7877.723, w2 = 7714.254, dw = -0.09907, nw = 1651 120627.0015.ec.fits: ap = 21, w1 = 7771.277, w2 = 7610.019, dw = -0.09773, nw = 1651 120627.0015.ec.fits: ap = 22, w1 = 7667.669, w2 = 7508.563, dw = -0.09643, nw = 1651 120627.0015.ec.fits: ap = 23, w1 = 7566.788, w2 = 7409.778, dw = -0.09516, nw = 1651 120627.0015.ec.fits: ap = 24, w1 = 7468.528, w2 = 7313.558, dw = -0.09392, nw = 1651 120627.0015.ec.fits: ap = 25, w1 = 7372.787, w2 = 7219.806, dw = -0.09272, nw = 1651 120627.0015.ec.fits: ap = 26, w1 = 7279.469, w2 = 7128.427, dw = -0.09154, nw = 1651 120627.0015.ec.fits: ap = 27, w1 = 7188.485, w2 = 7039.332, dw = -0.0904, nw = 1651 120627.0015.ec.fits: ap = 28, w1 = 7099.747, w2 = 6952.437, dw = -0.08928, nw = 1651 120627.0015.ec.fits: ap = 29, w1 = 7013.174, w2 = 6867.662, dw = -0.08819, nw = 1651 120627.0015.ec.fits: ap = 30, w1 = 6928.687, w2 = 6784.929, dw = -0.08713, nw = 1651 120627.0015.ec.fits: ap = 31, w1 = 6846.211, w2 = 6704.167, dw = -0.08609, nw = 1651 120627.0015.ec.fits: ap = 32, w1 = 6765.676, w2 = 6625.304, dw = -0.08507, nw = 1651 120627.0015.ec.fits: ap = 33, w1 = 6687.014, w2 = 6548.276, dw = -0.08408, nw = 1651 120627.0015.ec.fits: ap = 34, w1 = 6610.161, w2 = 6473.019, dw = -0.08312, nw = 1651 120627.0015.ec.fits: ap = 35, w1 = 6535.054, w2 = 6399.471, dw = -0.08217, nw = 1651 120627.0015.ec.fits: ap = 36, w1 = 6461.635, w2 = 6327.577, dw = -0.08125, nw = 1651 120627.0015.ec.fits: ap = 37, w1 = 6389.847, w2 = 6257.281, dw = -0.08034, nw = 1651 120627.0015.ec.fits: ap = 38, w1 = 6319.637, w2 = 6188.529, dw = -0.07946, nw = 1651 120627.0015.ec.fits: ap = 39, w1 = 6250.954, w2 = 6121.272, dw = -0.0786, nw = 1651 120627.0015.ec.fits: ap = 40, w1 = 6183.748, w2 = 6055.462, dw = -0.07775, nw = 1651 120627.0015.ec.fits: ap = 41, w1 = 6117.971, w2 = 5991.051, dw = -0.07692, nw = 1651 120627.0015.ec.fits: ap = 42, w1 = 6053.58, w2 = 5927.997, dw = -0.07611, nw = 1651 120627.0015.ec.fits: ap = 43, w1 = 5990.53, w2 = 5866.257, dw = -0.07532, nw = 1651 120627.0015.ec.fits: ap = 44, w1 = 5928.78, w2 = 5805.789, dw = -0.07454, nw = 1651 120627.0015.ec.fits: ap = 45, w1 = 5868.291, w2 = 5746.556, dw = -0.07378, nw = 1651 120627.0015.ec.fits: ap = 46, w1 = 5809.023, w2 = 5688.519, dw = -0.07303, nw = 1651 120627.0015.ec.fits: ap = 47, w1 = 5750.941, w2 = 5631.643, dw = -0.0723, nw = 1651 120627.0015.ec.fits: ap = 48, w1 = 5694.009, w2 = 5575.894, dw = -0.07159, nw = 1651 120627.0015.ec.fits: ap = 49, w1 = 5638.194, w2 = 5521.238, dw = -0.07088, nw = 1651 120627.0015.ec.fits: ap = 50, w1 = 5583.462, w2 = 5467.643, dw = -0.07019, nw = 1651 120627.0015.ec.fits: ap = 51, w1 = 5529.783, w2 = 5415.079, dw = -0.06952, nw = 1651 120627.0015.ec.fits: ap = 52, w1 = 5477.127, w2 = 5363.516, dw = -0.06886, nw = 1651 120627.0015.ec.fits: ap = 53, w1 = 5425.464, w2 = 5312.926, dw = -0.0682, nw = 1651 120627.0015.ec.fits: ap = 54, w1 = 5374.766, w2 = 5263.282, dw = -0.06757, nw = 1651 120627.0015.ec.fits: ap = 55, w1 = 5325.008, w2 = 5214.557, dw = -0.06694, nw = 1651 120627.0015.ec.fits: ap = 56, w1 = 5276.163, w2 = 5166.726, dw = -0.06633, nw = 1651 120627.0015.ec.fits: ap = 57, w1 = 5228.206, w2 = 5119.765, dw = -0.06572, nw = 1651 120627.0015.ec.fits: ap = 58, w1 = 5181.113, w2 = 5073.651, dw = -0.06513, nw = 1651 120627.0015.ec.fits: ap = 59, w1 = 5134.861, w2 = 5028.36, dw = -0.06455, nw = 1651 120627.0015.ec.fits: ap = 60, w1 = 5089.428, w2 = 4983.87, dw = -0.06397, nw = 1651 120627.0015.ec.fits: ap = 61, w1 = 5044.792, w2 = 4940.162, dw = -0.06341, nw = 1651 120627.0015.ec.fits: ap = 62, w1 = 5000.933, w2 = 4897.213, dw = -0.06286, nw = 1651 120627.0015.ec.fits: ap = 63, w1 = 4957.829, w2 = 4855.005, dw = -0.06232, nw = 1651 120627.0015.ec.fits: ap = 64, w1 = 4915.463, w2 = 4813.519, dw = -0.06178, nw = 1651 120627.0015.ec.fits: ap = 65, w1 = 4873.815, w2 = 4772.736, dw = -0.06126, nw = 1651 120627.0015.ec.fits: ap = 66, w1 = 4832.866, w2 = 4732.639, dw = -0.06074, nw = 1651 120627.0015.ec.fits: ap = 67, w1 = 4792.601, w2 = 4693.21, dw = -0.06024, nw = 1651 120627.0015.ec.fits: ap = 68, w1 = 4753.001, w2 = 4654.432, dw = -0.05974, nw = 1651 120627.0015.ec.fits: ap = 69, w1 = 4714.05, w2 = 4616.291, dw = -0.05925, nw = 1651 120627.0015.ec.fits: ap = 70, w1 = 4675.733, w2 = 4578.77, dw = -0.05877, nw = 1651 120627.0015.ec.fits: ap = 71, w1 = 4638.034, w2 = 4541.854, dw = -0.05829, nw = 1651 120627.0015.ec.fits: ap = 72, w1 = 4600.938, w2 = 4505.529, dw = -0.05782, nw = 1651 120627.0015.ec.fits: ap = 73, w1 = 4564.431, w2 = 4469.781, dw = -0.05736, nw = 1651 120627.0015.ec.fits: ap = 74, w1 = 4528.499, w2 = 4434.596, dw = -0.05691, nw = 1651 120627.0015.ec.fits: ap = 75, w1 = 4493.128, w2 = 4399.961, dw = -0.05647, nw = 1651 120627.0015.ec.fits: ap = 76, w1 = 4458.306, w2 = 4365.863, dw = -0.05603, nw = 1651 120627.0015.ec.fits: ap = 77, w1 = 4424.02, w2 = 4332.289, dw = -0.05559, nw = 1651 120627.0015.ec.fits: ap = 78, w1 = 4390.258, w2 = 4299.228, dw = -0.05517, nw = 1651 120627.0015.ec.fits: ap = 79, w1 = 4357.007, w2 = 4266.669, dw = -0.05475, nw = 1651 120627.0015.ec.fits: ap = 80, w1 = 4324.256, w2 = 4234.599, dw = -0.05434, nw = 1651 120627.0015.ec.fits: ap = 81, w1 = 4291.994, w2 = 4203.008, dw = -0.05393, nw = 1651 120627.0015.ec.fits: ap = 82, w1 = 4260.21, w2 = 4171.885, dw = -0.05353, nw = 1651 120627.0015.ec.fits: ap = 83, w1 = 4228.894, w2 = 4141.22, dw = -0.05314, nw = 1651 120627.0015.ec.fits: ap = 84, w1 = 4198.035, w2 = 4111.003, dw = -0.05275, nw = 1651 120627.0015.ec.fits: ap = 85, w1 = 4167.623, w2 = 4081.224, dw = -0.05236, nw = 1651 120627.0015.ec.fits: ap = 86, w1 = 4137.649, w2 = 4051.873, dw = -0.05199, nw = 1651 120627.0015.ec.fits: ap = 87, w1 = 4108.104, w2 = 4022.942, dw = -0.05161, nw = 1651 120627.0015.ec.fits: ap = 88, w1 = 4078.977, w2 = 3994.421, dw = -0.05125, nw = 1651 120627.0015.ec.fits: ap = 89, w1 = 4050.261, w2 = 3966.303, dw = -0.05088, nw = 1651 120627.0015.ec.fits: ap = 90, w1 = 4021.947, w2 = 3938.577, dw = -0.05053, nw = 1651 120627.0015.ec.fits: ap = 91, w1 = 3994.025, w2 = 3911.237, dw = -0.05017, nw = 1651 120627.0015.ec.fits: ap = 92, w1 = 3966.49, w2 = 3884.274, dw = -0.04983, nw = 1651 120627.0015.ec.fits: ap = 93, w1 = 3939.331, w2 = 3857.681, dw = -0.04948, nw = 1651 120627.0015.ec.fits: ap = 94, w1 = 3912.542, w2 = 3831.45, dw = -0.04915, nw = 1651 120627.0015.ec.fits: ap = 95, w1 = 3886.116, w2 = 3805.573, dw = -0.04881, nw = 1651 120627.0015.ec.fits: ap = 96, w1 = 3860.044, w2 = 3780.044, dw = -0.04848, nw = 1651 120627.0015.ec.fits: ap = 97, w1 = 3834.319, w2 = 3754.855, dw = -0.04816, nw = 1651 120627.0015.ec.fits: ap = 98, w1 = 3808.936, w2 = 3730.001, dw = -0.04784, nw = 1651 120627.0015.ec.fits: ap = 99, w1 = 3783.887, w2 = 3705.473, dw = -0.04752, nw = 1651 120627.0015.ec.fits: ap = 100, w1 = 3759.165, w2 = 3681.266, dw = -0.04721, nw = 1651 120627.0015.ec.fits: ap = 101, w1 = 3734.765, w2 = 3657.374, dw = -0.0469, nw = 1651 120627.0015.ec.fits: ap = 102, w1 = 3710.679, w2 = 3633.79, dw = -0.0466, nw = 1651 120627.0015.ec.fits: ap = 103, w1 = 3686.903, w2 = 3610.509, dw = -0.0463, nw = 1651 120627.0015.ec.fits: ap = 104, w1 = 3663.429, w2 = 3587.524, dw = -0.046, nw = 1651 120627.0015.ec.fits: ap = 105, w1 = 3640.253, w2 = 3564.831, dw = -0.04571, nw = 1651 120627.0015.ec.fits: ap = 106, w1 = 3617.368, w2 = 3542.423, dw = -0.04542, nw = 1651 120627.0015.ec.fits: ap = 107, w1 = 3594.769, w2 = 3520.296, dw = -0.04514, nw = 1651 120627.0016.ec.fits: REFSPEC1 = '120627.0002.ec 0.19760518' 120627.0016.ec.fits: REFSPEC2 = '120627.0038.ec 0.80239481' 120627.0016.ec.fits: ap = 1, w1 = 10649.26, w2 = 10428.2, dw = -0.13397, nw = 1651 120627.0016.ec.fits: ap = 2, w1 = 10455.65, w2 = 10238.62, dw = -0.13153, nw = 1651 120627.0016.ec.fits: ap = 3, w1 = 10268.95, w2 = 10055.8, dw = -0.12918, nw = 1651 120627.0016.ec.fits: ap = 4, w1 = 10088.81, w2 = 9879.401, dw = -0.12691, nw = 1651 120627.0016.ec.fits: ap = 5, w1 = 9914.876, w2 = 9709.083, dw = -0.12472, nw = 1651 120627.0016.ec.fits: ap = 6, w1 = 9746.84, w2 = 9544.538, dw = -0.12261, nw = 1651 120627.0016.ec.fits: ap = 7, w1 = 9584.405, w2 = 9385.478, dw = -0.12056, nw = 1651 120627.0016.ec.fits: ap = 8, w1 = 9427.295, w2 = 9231.633, dw = -0.11858, nw = 1651 120627.0016.ec.fits: ap = 9, w1 = 9275.254, w2 = 9082.751, dw = -0.11667, nw = 1651 120627.0016.ec.fits: ap = 10, w1 = 9128.039, w2 = 8938.595, dw = -0.11481, nw = 1651 120627.0016.ec.fits: ap = 11, w1 = 8985.425, w2 = 8798.943, dw = -0.11302, nw = 1651 120627.0016.ec.fits: ap = 12, w1 = 8847.198, w2 = 8663.589, dw = -0.11128, nw = 1651 120627.0016.ec.fits: ap = 13, w1 = 8713.161, w2 = 8532.336, dw = -0.10959, nw = 1651 120627.0016.ec.fits: ap = 14, w1 = 8583.124, w2 = 8405.001, dw = -0.10795, nw = 1651 120627.0016.ec.fits: ap = 15, w1 = 8456.912, w2 = 8281.411, dw = -0.10636, nw = 1651 120627.0016.ec.fits: ap = 16, w1 = 8334.359, w2 = 8161.403, dw = -0.10482, nw = 1651 120627.0016.ec.fits: ap = 17, w1 = 8215.307, w2 = 8044.824, dw = -0.10332, nw = 1651 120627.0016.ec.fits: ap = 18, w1 = 8099.608, w2 = 7931.529, dw = -0.10187, nw = 1651 120627.0016.ec.fits: ap = 19, w1 = 7987.124, w2 = 7821.381, dw = -0.10045, nw = 1651 120627.0016.ec.fits: ap = 20, w1 = 7877.721, w2 = 7714.251, dw = -0.09907, nw = 1651 120627.0016.ec.fits: ap = 21, w1 = 7771.275, w2 = 7610.016, dw = -0.09773, nw = 1651 120627.0016.ec.fits: ap = 22, w1 = 7667.667, w2 = 7508.561, dw = -0.09643, nw = 1651 120627.0016.ec.fits: ap = 23, w1 = 7566.787, w2 = 7409.775, dw = -0.09516, nw = 1651 120627.0016.ec.fits: ap = 24, w1 = 7468.526, w2 = 7313.555, dw = -0.09392, nw = 1651 120627.0016.ec.fits: ap = 25, w1 = 7372.785, w2 = 7219.803, dw = -0.09272, nw = 1651 120627.0016.ec.fits: ap = 26, w1 = 7279.468, w2 = 7128.424, dw = -0.09154, nw = 1651 120627.0016.ec.fits: ap = 27, w1 = 7188.483, w2 = 7039.329, dw = -0.0904, nw = 1651 120627.0016.ec.fits: ap = 28, w1 = 7099.746, w2 = 6952.435, dw = -0.08928, nw = 1651 120627.0016.ec.fits: ap = 29, w1 = 7013.172, w2 = 6867.659, dw = -0.08819, nw = 1651 120627.0016.ec.fits: ap = 30, w1 = 6928.685, w2 = 6784.927, dw = -0.08713, nw = 1651 120627.0016.ec.fits: ap = 31, w1 = 6846.21, w2 = 6704.164, dw = -0.08609, nw = 1651 120627.0016.ec.fits: ap = 32, w1 = 6765.675, w2 = 6625.302, dw = -0.08507, nw = 1651 120627.0016.ec.fits: ap = 33, w1 = 6687.013, w2 = 6548.274, dw = -0.08408, nw = 1651 120627.0016.ec.fits: ap = 34, w1 = 6610.159, w2 = 6473.016, dw = -0.08312, nw = 1651 120627.0016.ec.fits: ap = 35, w1 = 6535.052, w2 = 6399.469, dw = -0.08217, nw = 1651 120627.0016.ec.fits: ap = 36, w1 = 6461.633, w2 = 6327.575, dw = -0.08125, nw = 1651 120627.0016.ec.fits: ap = 37, w1 = 6389.846, w2 = 6257.278, dw = -0.08034, nw = 1651 120627.0016.ec.fits: ap = 38, w1 = 6319.636, w2 = 6188.527, dw = -0.07946, nw = 1651 120627.0016.ec.fits: ap = 39, w1 = 6250.953, w2 = 6121.27, dw = -0.0786, nw = 1651 120627.0016.ec.fits: ap = 40, w1 = 6183.747, w2 = 6055.459, dw = -0.07775, nw = 1651 120627.0016.ec.fits: ap = 41, w1 = 6117.97, w2 = 5991.049, dw = -0.07692, nw = 1651 120627.0016.ec.fits: ap = 42, w1 = 6053.579, w2 = 5927.995, dw = -0.07611, nw = 1651 120627.0016.ec.fits: ap = 43, w1 = 5990.529, w2 = 5866.254, dw = -0.07532, nw = 1651 120627.0016.ec.fits: ap = 44, w1 = 5928.779, w2 = 5805.787, dw = -0.07454, nw = 1651 120627.0016.ec.fits: ap = 45, w1 = 5868.29, w2 = 5746.554, dw = -0.07378, nw = 1651 120627.0016.ec.fits: ap = 46, w1 = 5809.022, w2 = 5688.517, dw = -0.07303, nw = 1651 120627.0016.ec.fits: ap = 47, w1 = 5750.94, w2 = 5631.641, dw = -0.0723, nw = 1651 120627.0016.ec.fits: ap = 48, w1 = 5694.008, w2 = 5575.892, dw = -0.07159, nw = 1651 120627.0016.ec.fits: ap = 49, w1 = 5638.193, w2 = 5521.235, dw = -0.07088, nw = 1651 120627.0016.ec.fits: ap = 50, w1 = 5583.461, w2 = 5467.64, dw = -0.07019, nw = 1651 120627.0016.ec.fits: ap = 51, w1 = 5529.782, w2 = 5415.076, dw = -0.06952, nw = 1651 120627.0016.ec.fits: ap = 52, w1 = 5477.126, w2 = 5363.513, dw = -0.06886, nw = 1651 120627.0016.ec.fits: ap = 53, w1 = 5425.463, w2 = 5312.924, dw = -0.06821, nw = 1651 120627.0016.ec.fits: ap = 54, w1 = 5374.766, w2 = 5263.279, dw = -0.06757, nw = 1651 120627.0016.ec.fits: ap = 55, w1 = 5325.007, w2 = 5214.555, dw = -0.06694, nw = 1651 120627.0016.ec.fits: ap = 56, w1 = 5276.162, w2 = 5166.724, dw = -0.06633, nw = 1651 120627.0016.ec.fits: ap = 57, w1 = 5228.205, w2 = 5119.763, dw = -0.06572, nw = 1651 120627.0016.ec.fits: ap = 58, w1 = 5181.112, w2 = 5073.649, dw = -0.06513, nw = 1651 120627.0016.ec.fits: ap = 59, w1 = 5134.861, w2 = 5028.358, dw = -0.06455, nw = 1651 120627.0016.ec.fits: ap = 60, w1 = 5089.428, w2 = 4983.868, dw = -0.06398, nw = 1651 120627.0016.ec.fits: ap = 61, w1 = 5044.792, w2 = 4940.159, dw = -0.06341, nw = 1651 120627.0016.ec.fits: ap = 62, w1 = 5000.932, w2 = 4897.211, dw = -0.06286, nw = 1651 120627.0016.ec.fits: ap = 63, w1 = 4957.829, w2 = 4855.003, dw = -0.06232, nw = 1651 120627.0016.ec.fits: ap = 64, w1 = 4915.462, w2 = 4813.517, dw = -0.06178, nw = 1651 120627.0016.ec.fits: ap = 65, w1 = 4873.814, w2 = 4772.734, dw = -0.06126, nw = 1651 120627.0016.ec.fits: ap = 66, w1 = 4832.866, w2 = 4732.637, dw = -0.06074, nw = 1651 120627.0016.ec.fits: ap = 67, w1 = 4792.6, w2 = 4693.208, dw = -0.06024, nw = 1651 120627.0016.ec.fits: ap = 68, w1 = 4753., w2 = 4654.431, dw = -0.05974, nw = 1651 120627.0016.ec.fits: ap = 69, w1 = 4714.049, w2 = 4616.289, dw = -0.05925, nw = 1651 120627.0016.ec.fits: ap = 70, w1 = 4675.732, w2 = 4578.768, dw = -0.05877, nw = 1651 120627.0016.ec.fits: ap = 71, w1 = 4638.033, w2 = 4541.853, dw = -0.05829, nw = 1651 120627.0016.ec.fits: ap = 72, w1 = 4600.937, w2 = 4505.528, dw = -0.05782, nw = 1651 120627.0016.ec.fits: ap = 73, w1 = 4564.43, w2 = 4469.779, dw = -0.05736, nw = 1651 120627.0016.ec.fits: ap = 74, w1 = 4528.498, w2 = 4434.594, dw = -0.05691, nw = 1651 120627.0016.ec.fits: ap = 75, w1 = 4493.128, w2 = 4399.959, dw = -0.05647, nw = 1651 120627.0016.ec.fits: ap = 76, w1 = 4458.306, w2 = 4365.861, dw = -0.05603, nw = 1651 120627.0016.ec.fits: ap = 77, w1 = 4424.02, w2 = 4332.288, dw = -0.0556, nw = 1651 120627.0016.ec.fits: ap = 78, w1 = 4390.257, w2 = 4299.227, dw = -0.05517, nw = 1651 120627.0016.ec.fits: ap = 79, w1 = 4357.006, w2 = 4266.668, dw = -0.05475, nw = 1651 120627.0016.ec.fits: ap = 80, w1 = 4324.255, w2 = 4234.598, dw = -0.05434, nw = 1651 120627.0016.ec.fits: ap = 81, w1 = 4291.993, w2 = 4203.007, dw = -0.05393, nw = 1651 120627.0016.ec.fits: ap = 82, w1 = 4260.21, w2 = 4171.884, dw = -0.05353, nw = 1651 120627.0016.ec.fits: ap = 83, w1 = 4228.893, w2 = 4141.219, dw = -0.05314, nw = 1651 120627.0016.ec.fits: ap = 84, w1 = 4198.034, w2 = 4111.002, dw = -0.05275, nw = 1651 120627.0016.ec.fits: ap = 85, w1 = 4167.623, w2 = 4081.223, dw = -0.05236, nw = 1651 120627.0016.ec.fits: ap = 86, w1 = 4137.649, w2 = 4051.872, dw = -0.05199, nw = 1651 120627.0016.ec.fits: ap = 87, w1 = 4108.103, w2 = 4022.941, dw = -0.05161, nw = 1651 120627.0016.ec.fits: ap = 88, w1 = 4078.976, w2 = 3994.421, dw = -0.05125, nw = 1651 120627.0016.ec.fits: ap = 89, w1 = 4050.26, w2 = 3966.302, dw = -0.05088, nw = 1651 120627.0016.ec.fits: ap = 90, w1 = 4021.946, w2 = 3938.577, dw = -0.05053, nw = 1651 120627.0016.ec.fits: ap = 91, w1 = 3994.025, w2 = 3911.237, dw = -0.05017, nw = 1651 120627.0016.ec.fits: ap = 92, w1 = 3966.489, w2 = 3884.274, dw = -0.04983, nw = 1651 120627.0016.ec.fits: ap = 93, w1 = 3939.33, w2 = 3857.681, dw = -0.04948, nw = 1651 120627.0016.ec.fits: ap = 94, w1 = 3912.541, w2 = 3831.45, dw = -0.04915, nw = 1651 120627.0016.ec.fits: ap = 95, w1 = 3886.115, w2 = 3805.573, dw = -0.04881, nw = 1651 120627.0016.ec.fits: ap = 96, w1 = 3860.043, w2 = 3780.044, dw = -0.04848, nw = 1651 120627.0016.ec.fits: ap = 97, w1 = 3834.318, w2 = 3754.856, dw = -0.04816, nw = 1651 120627.0016.ec.fits: ap = 98, w1 = 3808.935, w2 = 3730.001, dw = -0.04784, nw = 1651 120627.0016.ec.fits: ap = 99, w1 = 3783.886, w2 = 3705.474, dw = -0.04752, nw = 1651 120627.0016.ec.fits: ap = 100, w1 = 3759.164, w2 = 3681.267, dw = -0.04721, nw = 1651 120627.0016.ec.fits: ap = 101, w1 = 3734.764, w2 = 3657.375, dw = -0.0469, nw = 1651 120627.0016.ec.fits: ap = 102, w1 = 3710.678, w2 = 3633.791, dw = -0.0466, nw = 1651 120627.0016.ec.fits: ap = 103, w1 = 3686.901, w2 = 3610.51, dw = -0.0463, nw = 1651 120627.0016.ec.fits: ap = 104, w1 = 3663.428, w2 = 3587.526, dw = -0.046, nw = 1651 120627.0016.ec.fits: ap = 105, w1 = 3640.251, w2 = 3564.832, dw = -0.04571, nw = 1651 120627.0016.ec.fits: ap = 106, w1 = 3617.366, w2 = 3542.425, dw = -0.04542, nw = 1651 120627.0016.ec.fits: ap = 107, w1 = 3594.768, w2 = 3520.297, dw = -0.04513, nw = 1651 120627.0017.ec.fits: REFSPEC1 = '120627.0002.ec 0.13373412' 120627.0017.ec.fits: REFSPEC2 = '120627.0038.ec 0.86626589' 120627.0017.ec.fits: ap = 1, w1 = 10649.26, w2 = 10428.2, dw = -0.13397, nw = 1651 120627.0017.ec.fits: ap = 2, w1 = 10455.65, w2 = 10238.61, dw = -0.13154, nw = 1651 120627.0017.ec.fits: ap = 3, w1 = 10268.95, w2 = 10055.8, dw = -0.12918, nw = 1651 120627.0017.ec.fits: ap = 4, w1 = 10088.81, w2 = 9879.397, dw = -0.12692, nw = 1651 120627.0017.ec.fits: ap = 5, w1 = 9914.874, w2 = 9709.079, dw = -0.12472, nw = 1651 120627.0017.ec.fits: ap = 6, w1 = 9746.838, w2 = 9544.534, dw = -0.12261, nw = 1651 120627.0017.ec.fits: ap = 7, w1 = 9584.403, w2 = 9385.474, dw = -0.12056, nw = 1651 120627.0017.ec.fits: ap = 8, w1 = 9427.293, w2 = 9231.629, dw = -0.11858, nw = 1651 120627.0017.ec.fits: ap = 9, w1 = 9275.251, w2 = 9082.747, dw = -0.11667, nw = 1651 120627.0017.ec.fits: ap = 10, w1 = 9128.037, w2 = 8938.591, dw = -0.11482, nw = 1651 120627.0017.ec.fits: ap = 11, w1 = 8985.422, w2 = 8798.94, dw = -0.11302, nw = 1651 120627.0017.ec.fits: ap = 12, w1 = 8847.196, w2 = 8663.585, dw = -0.11128, nw = 1651 120627.0017.ec.fits: ap = 13, w1 = 8713.159, w2 = 8532.332, dw = -0.10959, nw = 1651 120627.0017.ec.fits: ap = 14, w1 = 8583.122, w2 = 8404.997, dw = -0.10795, nw = 1651 120627.0017.ec.fits: ap = 15, w1 = 8456.91, w2 = 8281.408, dw = -0.10637, nw = 1651 120627.0017.ec.fits: ap = 16, w1 = 8334.357, w2 = 8161.4, dw = -0.10482, nw = 1651 120627.0017.ec.fits: ap = 17, w1 = 8215.305, w2 = 8044.821, dw = -0.10332, nw = 1651 120627.0017.ec.fits: ap = 18, w1 = 8099.606, w2 = 7931.526, dw = -0.10187, nw = 1651 120627.0017.ec.fits: ap = 19, w1 = 7987.122, w2 = 7821.378, dw = -0.10045, nw = 1651 120627.0017.ec.fits: ap = 20, w1 = 7877.719, w2 = 7714.248, dw = -0.09907, nw = 1651 120627.0017.ec.fits: ap = 21, w1 = 7771.273, w2 = 7610.013, dw = -0.09773, nw = 1651 120627.0017.ec.fits: ap = 22, w1 = 7667.666, w2 = 7508.558, dw = -0.09643, nw = 1651 120627.0017.ec.fits: ap = 23, w1 = 7566.785, w2 = 7409.772, dw = -0.09516, nw = 1651 120627.0017.ec.fits: ap = 24, w1 = 7468.524, w2 = 7313.553, dw = -0.09392, nw = 1651 120627.0017.ec.fits: ap = 25, w1 = 7372.783, w2 = 7219.8, dw = -0.09272, nw = 1651 120627.0017.ec.fits: ap = 26, w1 = 7279.466, w2 = 7128.421, dw = -0.09154, nw = 1651 120627.0017.ec.fits: ap = 27, w1 = 7188.482, w2 = 7039.327, dw = -0.0904, nw = 1651 120627.0017.ec.fits: ap = 28, w1 = 7099.744, w2 = 6952.432, dw = -0.08928, nw = 1651 120627.0017.ec.fits: ap = 29, w1 = 7013.171, w2 = 6867.657, dw = -0.08819, nw = 1651 120627.0017.ec.fits: ap = 30, w1 = 6928.684, w2 = 6784.924, dw = -0.08713, nw = 1651 120627.0017.ec.fits: ap = 31, w1 = 6846.208, w2 = 6704.162, dw = -0.08609, nw = 1651 120627.0017.ec.fits: ap = 32, w1 = 6765.673, w2 = 6625.299, dw = -0.08508, nw = 1651 120627.0017.ec.fits: ap = 33, w1 = 6687.011, w2 = 6548.271, dw = -0.08409, nw = 1651 120627.0017.ec.fits: ap = 34, w1 = 6610.158, w2 = 6473.014, dw = -0.08312, nw = 1651 120627.0017.ec.fits: ap = 35, w1 = 6535.051, w2 = 6399.466, dw = -0.08217, nw = 1651 120627.0017.ec.fits: ap = 36, w1 = 6461.632, w2 = 6327.572, dw = -0.08125, nw = 1651 120627.0017.ec.fits: ap = 37, w1 = 6389.844, w2 = 6257.276, dw = -0.08034, nw = 1651 120627.0017.ec.fits: ap = 38, w1 = 6319.635, w2 = 6188.524, dw = -0.07946, nw = 1651 120627.0017.ec.fits: ap = 39, w1 = 6250.952, w2 = 6121.267, dw = -0.0786, nw = 1651 120627.0017.ec.fits: ap = 40, w1 = 6183.745, w2 = 6055.457, dw = -0.07775, nw = 1651 120627.0017.ec.fits: ap = 41, w1 = 6117.969, w2 = 5991.046, dw = -0.07692, nw = 1651 120627.0017.ec.fits: ap = 42, w1 = 6053.578, w2 = 5927.992, dw = -0.07611, nw = 1651 120627.0017.ec.fits: ap = 43, w1 = 5990.528, w2 = 5866.252, dw = -0.07532, nw = 1651 120627.0017.ec.fits: ap = 44, w1 = 5928.778, w2 = 5805.784, dw = -0.07454, nw = 1651 120627.0017.ec.fits: ap = 45, w1 = 5868.289, w2 = 5746.551, dw = -0.07378, nw = 1651 120627.0017.ec.fits: ap = 46, w1 = 5809.021, w2 = 5688.514, dw = -0.07303, nw = 1651 120627.0017.ec.fits: ap = 47, w1 = 5750.939, w2 = 5631.639, dw = -0.0723, nw = 1651 120627.0017.ec.fits: ap = 48, w1 = 5694.007, w2 = 5575.889, dw = -0.07159, nw = 1651 120627.0017.ec.fits: ap = 49, w1 = 5638.192, w2 = 5521.233, dw = -0.07088, nw = 1651 120627.0017.ec.fits: ap = 50, w1 = 5583.46, w2 = 5467.638, dw = -0.0702, nw = 1651 120627.0017.ec.fits: ap = 51, w1 = 5529.781, w2 = 5415.074, dw = -0.06952, nw = 1651 120627.0017.ec.fits: ap = 52, w1 = 5477.125, w2 = 5363.511, dw = -0.06886, nw = 1651 120627.0017.ec.fits: ap = 53, w1 = 5425.462, w2 = 5312.921, dw = -0.06821, nw = 1651 120627.0017.ec.fits: ap = 54, w1 = 5374.765, w2 = 5263.277, dw = -0.06757, nw = 1651 120627.0017.ec.fits: ap = 55, w1 = 5325.007, w2 = 5214.552, dw = -0.06694, nw = 1651 120627.0017.ec.fits: ap = 56, w1 = 5276.162, w2 = 5166.722, dw = -0.06633, nw = 1651 120627.0017.ec.fits: ap = 57, w1 = 5228.205, w2 = 5119.761, dw = -0.06572, nw = 1651 120627.0017.ec.fits: ap = 58, w1 = 5181.112, w2 = 5073.646, dw = -0.06513, nw = 1651 120627.0017.ec.fits: ap = 59, w1 = 5134.86, w2 = 5028.355, dw = -0.06455, nw = 1651 120627.0017.ec.fits: ap = 60, w1 = 5089.427, w2 = 4983.866, dw = -0.06398, nw = 1651 120627.0017.ec.fits: ap = 61, w1 = 5044.791, w2 = 4940.157, dw = -0.06341, nw = 1651 120627.0017.ec.fits: ap = 62, w1 = 5000.931, w2 = 4897.209, dw = -0.06286, nw = 1651 120627.0017.ec.fits: ap = 63, w1 = 4957.828, w2 = 4855.001, dw = -0.06232, nw = 1651 120627.0017.ec.fits: ap = 64, w1 = 4915.462, w2 = 4813.515, dw = -0.06179, nw = 1651 120627.0017.ec.fits: ap = 65, w1 = 4873.813, w2 = 4772.732, dw = -0.06126, nw = 1651 120627.0017.ec.fits: ap = 66, w1 = 4832.865, w2 = 4732.635, dw = -0.06075, nw = 1651 120627.0017.ec.fits: ap = 67, w1 = 4792.6, w2 = 4693.206, dw = -0.06024, nw = 1651 120627.0017.ec.fits: ap = 68, w1 = 4753., w2 = 4654.429, dw = -0.05974, nw = 1651 120627.0017.ec.fits: ap = 69, w1 = 4714.049, w2 = 4616.287, dw = -0.05925, nw = 1651 120627.0017.ec.fits: ap = 70, w1 = 4675.732, w2 = 4578.766, dw = -0.05877, nw = 1651 120627.0017.ec.fits: ap = 71, w1 = 4638.032, w2 = 4541.851, dw = -0.05829, nw = 1651 120627.0017.ec.fits: ap = 72, w1 = 4600.937, w2 = 4505.526, dw = -0.05782, nw = 1651 120627.0017.ec.fits: ap = 73, w1 = 4564.43, w2 = 4469.778, dw = -0.05736, nw = 1651 120627.0017.ec.fits: ap = 74, w1 = 4528.498, w2 = 4434.593, dw = -0.05691, nw = 1651 120627.0017.ec.fits: ap = 75, w1 = 4493.127, w2 = 4399.957, dw = -0.05647, nw = 1651 120627.0017.ec.fits: ap = 76, w1 = 4458.305, w2 = 4365.859, dw = -0.05603, nw = 1651 120627.0017.ec.fits: ap = 77, w1 = 4424.019, w2 = 4332.286, dw = -0.0556, nw = 1651 120627.0017.ec.fits: ap = 78, w1 = 4390.256, w2 = 4299.226, dw = -0.05517, nw = 1651 120627.0017.ec.fits: ap = 79, w1 = 4357.006, w2 = 4266.666, dw = -0.05475, nw = 1651 120627.0017.ec.fits: ap = 80, w1 = 4324.255, w2 = 4234.596, dw = -0.05434, nw = 1651 120627.0017.ec.fits: ap = 81, w1 = 4291.993, w2 = 4203.005, dw = -0.05393, nw = 1651 120627.0017.ec.fits: ap = 82, w1 = 4260.209, w2 = 4171.883, dw = -0.05353, nw = 1651 120627.0017.ec.fits: ap = 83, w1 = 4228.893, w2 = 4141.218, dw = -0.05314, nw = 1651 120627.0017.ec.fits: ap = 84, w1 = 4198.034, w2 = 4111.001, dw = -0.05275, nw = 1651 120627.0017.ec.fits: ap = 85, w1 = 4167.622, w2 = 4081.222, dw = -0.05236, nw = 1651 120627.0017.ec.fits: ap = 86, w1 = 4137.648, w2 = 4051.871, dw = -0.05199, nw = 1651 120627.0017.ec.fits: ap = 87, w1 = 4108.102, w2 = 4022.94, dw = -0.05161, nw = 1651 120627.0017.ec.fits: ap = 88, w1 = 4078.976, w2 = 3994.42, dw = -0.05125, nw = 1651 120627.0017.ec.fits: ap = 89, w1 = 4050.259, w2 = 3966.301, dw = -0.05088, nw = 1651 120627.0017.ec.fits: ap = 90, w1 = 4021.945, w2 = 3938.576, dw = -0.05053, nw = 1651 120627.0017.ec.fits: ap = 91, w1 = 3994.024, w2 = 3911.236, dw = -0.05017, nw = 1651 120627.0017.ec.fits: ap = 92, w1 = 3966.488, w2 = 3884.274, dw = -0.04983, nw = 1651 120627.0017.ec.fits: ap = 93, w1 = 3939.329, w2 = 3857.681, dw = -0.04948, nw = 1651 120627.0017.ec.fits: ap = 94, w1 = 3912.54, w2 = 3831.45, dw = -0.04915, nw = 1651 120627.0017.ec.fits: ap = 95, w1 = 3886.114, w2 = 3805.573, dw = -0.04881, nw = 1651 120627.0017.ec.fits: ap = 96, w1 = 3860.042, w2 = 3780.044, dw = -0.04848, nw = 1651 120627.0017.ec.fits: ap = 97, w1 = 3834.317, w2 = 3754.856, dw = -0.04816, nw = 1651 120627.0017.ec.fits: ap = 98, w1 = 3808.934, w2 = 3730.001, dw = -0.04784, nw = 1651 120627.0017.ec.fits: ap = 99, w1 = 3783.885, w2 = 3705.474, dw = -0.04752, nw = 1651 120627.0017.ec.fits: ap = 100, w1 = 3759.163, w2 = 3681.268, dw = -0.04721, nw = 1651 120627.0017.ec.fits: ap = 101, w1 = 3734.762, w2 = 3657.376, dw = -0.0469, nw = 1651 120627.0017.ec.fits: ap = 102, w1 = 3710.677, w2 = 3633.792, dw = -0.0466, nw = 1651 120627.0017.ec.fits: ap = 103, w1 = 3686.9, w2 = 3610.511, dw = -0.0463, nw = 1651 120627.0017.ec.fits: ap = 104, w1 = 3663.426, w2 = 3587.527, dw = -0.046, nw = 1651 120627.0017.ec.fits: ap = 105, w1 = 3640.25, w2 = 3564.834, dw = -0.04571, nw = 1651 120627.0017.ec.fits: ap = 106, w1 = 3617.365, w2 = 3542.426, dw = -0.04542, nw = 1651 120627.0017.ec.fits: ap = 107, w1 = 3594.766, w2 = 3520.299, dw = -0.04513, nw = 1651 120627.0018.ec.fits: REFSPEC1 = '120627.0002.ec 0.030610729' 120627.0018.ec.fits: REFSPEC2 = '120627.0038.ec 0.96938926' 120627.0018.ec.fits: ap = 1, w1 = 10649.25, w2 = 10428.19, dw = -0.13398, nw = 1651 120627.0018.ec.fits: ap = 2, w1 = 10455.64, w2 = 10238.6, dw = -0.13154, nw = 1651 120627.0018.ec.fits: ap = 3, w1 = 10268.95, w2 = 10055.79, dw = -0.12919, nw = 1651 120627.0018.ec.fits: ap = 4, w1 = 10088.8, w2 = 9879.389, dw = -0.12692, nw = 1651 120627.0018.ec.fits: ap = 5, w1 = 9914.871, w2 = 9709.071, dw = -0.12473, nw = 1651 120627.0018.ec.fits: ap = 6, w1 = 9746.834, w2 = 9544.527, dw = -0.12261, nw = 1651 120627.0018.ec.fits: ap = 7, w1 = 9584.399, w2 = 9385.467, dw = -0.12056, nw = 1651 120627.0018.ec.fits: ap = 8, w1 = 9427.289, w2 = 9231.623, dw = -0.11859, nw = 1651 120627.0018.ec.fits: ap = 9, w1 = 9275.248, w2 = 9082.741, dw = -0.11667, nw = 1651 120627.0018.ec.fits: ap = 10, w1 = 9128.033, w2 = 8938.585, dw = -0.11482, nw = 1651 120627.0018.ec.fits: ap = 11, w1 = 8985.419, w2 = 8798.934, dw = -0.11302, nw = 1651 120627.0018.ec.fits: ap = 12, w1 = 8847.193, w2 = 8663.579, dw = -0.11128, nw = 1651 120627.0018.ec.fits: ap = 13, w1 = 8713.155, w2 = 8532.327, dw = -0.10959, nw = 1651 120627.0018.ec.fits: ap = 14, w1 = 8583.119, w2 = 8404.992, dw = -0.10796, nw = 1651 120627.0018.ec.fits: ap = 15, w1 = 8456.907, w2 = 8281.402, dw = -0.10637, nw = 1651 120627.0018.ec.fits: ap = 16, w1 = 8334.353, w2 = 8161.395, dw = -0.10482, nw = 1651 120627.0018.ec.fits: ap = 17, w1 = 8215.301, w2 = 8044.816, dw = -0.10332, nw = 1651 120627.0018.ec.fits: ap = 18, w1 = 8099.603, w2 = 7931.521, dw = -0.10187, nw = 1651 120627.0018.ec.fits: ap = 19, w1 = 7987.118, w2 = 7821.373, dw = -0.10045, nw = 1651 120627.0018.ec.fits: ap = 20, w1 = 7877.716, w2 = 7714.243, dw = -0.09907, nw = 1651 120627.0018.ec.fits: ap = 21, w1 = 7771.27, w2 = 7610.008, dw = -0.09773, nw = 1651 120627.0018.ec.fits: ap = 22, w1 = 7667.662, w2 = 7508.553, dw = -0.09643, nw = 1651 120627.0018.ec.fits: ap = 23, w1 = 7566.782, w2 = 7409.768, dw = -0.09516, nw = 1651 120627.0018.ec.fits: ap = 24, w1 = 7468.521, w2 = 7313.548, dw = -0.09392, nw = 1651 120627.0018.ec.fits: ap = 25, w1 = 7372.78, w2 = 7219.796, dw = -0.09272, nw = 1651 120627.0018.ec.fits: ap = 26, w1 = 7279.463, w2 = 7128.417, dw = -0.09154, nw = 1651 120627.0018.ec.fits: ap = 27, w1 = 7188.479, w2 = 7039.322, dw = -0.0904, nw = 1651 120627.0018.ec.fits: ap = 28, w1 = 7099.741, w2 = 6952.428, dw = -0.08928, nw = 1651 120627.0018.ec.fits: ap = 29, w1 = 7013.168, w2 = 6867.652, dw = -0.08819, nw = 1651 120627.0018.ec.fits: ap = 30, w1 = 6928.681, w2 = 6784.92, dw = -0.08713, nw = 1651 120627.0018.ec.fits: ap = 31, w1 = 6846.206, w2 = 6704.157, dw = -0.08609, nw = 1651 120627.0018.ec.fits: ap = 32, w1 = 6765.671, w2 = 6625.295, dw = -0.08508, nw = 1651 120627.0018.ec.fits: ap = 33, w1 = 6687.009, w2 = 6548.267, dw = -0.08409, nw = 1651 120627.0018.ec.fits: ap = 34, w1 = 6610.155, w2 = 6473.009, dw = -0.08312, nw = 1651 120627.0018.ec.fits: ap = 35, w1 = 6535.049, w2 = 6399.462, dw = -0.08217, nw = 1651 120627.0018.ec.fits: ap = 36, w1 = 6461.63, w2 = 6327.568, dw = -0.08125, nw = 1651 120627.0018.ec.fits: ap = 37, w1 = 6389.842, w2 = 6257.271, dw = -0.08035, nw = 1651 120627.0018.ec.fits: ap = 38, w1 = 6319.633, w2 = 6188.52, dw = -0.07946, nw = 1651 120627.0018.ec.fits: ap = 39, w1 = 6250.949, w2 = 6121.263, dw = -0.0786, nw = 1651 120627.0018.ec.fits: ap = 40, w1 = 6183.743, w2 = 6055.452, dw = -0.07775, nw = 1651 120627.0018.ec.fits: ap = 41, w1 = 6117.967, w2 = 5991.042, dw = -0.07692, nw = 1651 120627.0018.ec.fits: ap = 42, w1 = 6053.576, w2 = 5927.988, dw = -0.07611, nw = 1651 120627.0018.ec.fits: ap = 43, w1 = 5990.526, w2 = 5866.248, dw = -0.07532, nw = 1651 120627.0018.ec.fits: ap = 44, w1 = 5928.776, w2 = 5805.78, dw = -0.07454, nw = 1651 120627.0018.ec.fits: ap = 45, w1 = 5868.287, w2 = 5746.547, dw = -0.07378, nw = 1651 120627.0018.ec.fits: ap = 46, w1 = 5809.02, w2 = 5688.51, dw = -0.07304, nw = 1651 120627.0018.ec.fits: ap = 47, w1 = 5750.938, w2 = 5631.635, dw = -0.0723, nw = 1651 120627.0018.ec.fits: ap = 48, w1 = 5694.006, w2 = 5575.885, dw = -0.07159, nw = 1651 120627.0018.ec.fits: ap = 49, w1 = 5638.19, w2 = 5521.229, dw = -0.07089, nw = 1651 120627.0018.ec.fits: ap = 50, w1 = 5583.459, w2 = 5467.634, dw = -0.0702, nw = 1651 120627.0018.ec.fits: ap = 51, w1 = 5529.78, w2 = 5415.07, dw = -0.06952, nw = 1651 120627.0018.ec.fits: ap = 52, w1 = 5477.123, w2 = 5363.507, dw = -0.06886, nw = 1651 120627.0018.ec.fits: ap = 53, w1 = 5425.461, w2 = 5312.917, dw = -0.06821, nw = 1651 120627.0018.ec.fits: ap = 54, w1 = 5374.764, w2 = 5263.273, dw = -0.06757, nw = 1651 120627.0018.ec.fits: ap = 55, w1 = 5325.005, w2 = 5214.548, dw = -0.06694, nw = 1651 120627.0018.ec.fits: ap = 56, w1 = 5276.16, w2 = 5166.718, dw = -0.06633, nw = 1651 120627.0018.ec.fits: ap = 57, w1 = 5228.203, w2 = 5119.757, dw = -0.06573, nw = 1651 120627.0018.ec.fits: ap = 58, w1 = 5181.111, w2 = 5073.642, dw = -0.06513, nw = 1651 120627.0018.ec.fits: ap = 59, w1 = 5134.859, w2 = 5028.351, dw = -0.06455, nw = 1651 120627.0018.ec.fits: ap = 60, w1 = 5089.426, w2 = 4983.862, dw = -0.06398, nw = 1651 120627.0018.ec.fits: ap = 61, w1 = 5044.79, w2 = 4940.154, dw = -0.06342, nw = 1651 120627.0018.ec.fits: ap = 62, w1 = 5000.93, w2 = 4897.205, dw = -0.06286, nw = 1651 120627.0018.ec.fits: ap = 63, w1 = 4957.827, w2 = 4854.997, dw = -0.06232, nw = 1651 120627.0018.ec.fits: ap = 64, w1 = 4915.461, w2 = 4813.511, dw = -0.06179, nw = 1651 120627.0018.ec.fits: ap = 65, w1 = 4873.812, w2 = 4772.728, dw = -0.06126, nw = 1651 120627.0018.ec.fits: ap = 66, w1 = 4832.864, w2 = 4732.631, dw = -0.06075, nw = 1651 120627.0018.ec.fits: ap = 67, w1 = 4792.599, w2 = 4693.202, dw = -0.06024, nw = 1651 120627.0018.ec.fits: ap = 68, w1 = 4752.999, w2 = 4654.425, dw = -0.05974, nw = 1651 120627.0018.ec.fits: ap = 69, w1 = 4714.048, w2 = 4616.284, dw = -0.05925, nw = 1651 120627.0018.ec.fits: ap = 70, w1 = 4675.731, w2 = 4578.763, dw = -0.05877, nw = 1651 120627.0018.ec.fits: ap = 71, w1 = 4638.031, w2 = 4541.848, dw = -0.05829, nw = 1651 120627.0018.ec.fits: ap = 72, w1 = 4600.936, w2 = 4505.523, dw = -0.05783, nw = 1651 120627.0018.ec.fits: ap = 73, w1 = 4564.429, w2 = 4469.775, dw = -0.05737, nw = 1651 120627.0018.ec.fits: ap = 74, w1 = 4528.497, w2 = 4434.59, dw = -0.05691, nw = 1651 120627.0018.ec.fits: ap = 75, w1 = 4493.126, w2 = 4399.955, dw = -0.05647, nw = 1651 120627.0018.ec.fits: ap = 76, w1 = 4458.304, w2 = 4365.857, dw = -0.05603, nw = 1651 120627.0018.ec.fits: ap = 77, w1 = 4424.018, w2 = 4332.284, dw = -0.0556, nw = 1651 120627.0018.ec.fits: ap = 78, w1 = 4390.255, w2 = 4299.223, dw = -0.05517, nw = 1651 120627.0018.ec.fits: ap = 79, w1 = 4357.004, w2 = 4266.664, dw = -0.05475, nw = 1651 120627.0018.ec.fits: ap = 80, w1 = 4324.254, w2 = 4234.594, dw = -0.05434, nw = 1651 120627.0018.ec.fits: ap = 81, w1 = 4291.992, w2 = 4203.003, dw = -0.05393, nw = 1651 120627.0018.ec.fits: ap = 82, w1 = 4260.208, w2 = 4171.881, dw = -0.05353, nw = 1651 120627.0018.ec.fits: ap = 83, w1 = 4228.891, w2 = 4141.216, dw = -0.05314, nw = 1651 120627.0018.ec.fits: ap = 84, w1 = 4198.032, w2 = 4110.999, dw = -0.05275, nw = 1651 120627.0018.ec.fits: ap = 85, w1 = 4167.621, w2 = 4081.22, dw = -0.05236, nw = 1651 120627.0018.ec.fits: ap = 86, w1 = 4137.647, w2 = 4051.87, dw = -0.05199, nw = 1651 120627.0018.ec.fits: ap = 87, w1 = 4108.101, w2 = 4022.939, dw = -0.05161, nw = 1651 120627.0018.ec.fits: ap = 88, w1 = 4078.974, w2 = 3994.419, dw = -0.05125, nw = 1651 120627.0018.ec.fits: ap = 89, w1 = 4050.258, w2 = 3966.301, dw = -0.05088, nw = 1651 120627.0018.ec.fits: ap = 90, w1 = 4021.943, w2 = 3938.576, dw = -0.05053, nw = 1651 120627.0018.ec.fits: ap = 91, w1 = 3994.022, w2 = 3911.236, dw = -0.05017, nw = 1651 120627.0018.ec.fits: ap = 92, w1 = 3966.486, w2 = 3884.273, dw = -0.04983, nw = 1651 120627.0018.ec.fits: ap = 93, w1 = 3939.328, w2 = 3857.681, dw = -0.04948, nw = 1651 120627.0018.ec.fits: ap = 94, w1 = 3912.539, w2 = 3831.45, dw = -0.04914, nw = 1651 120627.0018.ec.fits: ap = 95, w1 = 3886.112, w2 = 3805.573, dw = -0.04881, nw = 1651 120627.0018.ec.fits: ap = 96, w1 = 3860.04, w2 = 3780.045, dw = -0.04848, nw = 1651 120627.0018.ec.fits: ap = 97, w1 = 3834.316, w2 = 3754.857, dw = -0.04816, nw = 1651 120627.0018.ec.fits: ap = 98, w1 = 3808.932, w2 = 3730.002, dw = -0.04784, nw = 1651 120627.0018.ec.fits: ap = 99, w1 = 3783.883, w2 = 3705.475, dw = -0.04752, nw = 1651 120627.0018.ec.fits: ap = 100, w1 = 3759.161, w2 = 3681.269, dw = -0.04721, nw = 1651 120627.0018.ec.fits: ap = 101, w1 = 3734.76, w2 = 3657.377, dw = -0.0469, nw = 1651 120627.0018.ec.fits: ap = 102, w1 = 3710.674, w2 = 3633.794, dw = -0.04659, nw = 1651 120627.0018.ec.fits: ap = 103, w1 = 3686.898, w2 = 3610.513, dw = -0.04629, nw = 1651 120627.0018.ec.fits: ap = 104, w1 = 3663.424, w2 = 3587.529, dw = -0.046, nw = 1651 120627.0018.ec.fits: ap = 105, w1 = 3640.247, w2 = 3564.836, dw = -0.0457, nw = 1651 120627.0018.ec.fits: ap = 106, w1 = 3617.362, w2 = 3542.429, dw = -0.04541, nw = 1651 120627.0018.ec.fits: ap = 107, w1 = 3594.764, w2 = 3520.302, dw = -0.04513, nw = 1651 120627.0001.ec.fits: REFSPEC1 = '120627.0001.ec 1.' z120627.0001.ec.fits: ap = 1, w1 = 10649.26, w2 = 10428.31, dw = -0.13391, nw = 1651 z120627.0001.ec.fits: ap = 2, w1 = 10455.66, w2 = 10238.71, dw = -0.13148, nw = 1651 z120627.0001.ec.fits: ap = 3, w1 = 10268.96, w2 = 10055.89, dw = -0.12913, nw = 1651 z120627.0001.ec.fits: ap = 4, w1 = 10088.82, w2 = 9879.489, dw = -0.12687, nw = 1651 z120627.0001.ec.fits: ap = 5, w1 = 9914.892, w2 = 9709.167, dw = -0.12468, nw = 1651 z120627.0001.ec.fits: ap = 6, w1 = 9746.857, w2 = 9544.618, dw = -0.12257, nw = 1651 z120627.0001.ec.fits: ap = 7, w1 = 9584.423, w2 = 9385.555, dw = -0.12053, nw = 1651 z120627.0001.ec.fits: ap = 8, w1 = 9427.315, w2 = 9231.706, dw = -0.11855, nw = 1651 z120627.0001.ec.fits: ap = 9, w1 = 9275.275, w2 = 9082.821, dw = -0.11664, nw = 1651 z120627.0001.ec.fits: ap = 10, w1 = 9128.061, w2 = 8938.662, dw = -0.11479, nw = 1651 z120627.0001.ec.fits: ap = 11, w1 = 8985.448, w2 = 8799.007, dw = -0.11299, nw = 1651 z120627.0001.ec.fits: ap = 12, w1 = 8847.222, w2 = 8663.65, dw = -0.11126, nw = 1651 z120627.0001.ec.fits: ap = 13, w1 = 8713.185, w2 = 8532.395, dw = -0.10957, nw = 1651 z120627.0001.ec.fits: ap = 14, w1 = 8583.149, w2 = 8405.058, dw = -0.10793, nw = 1651 z120627.0001.ec.fits: ap = 15, w1 = 8456.938, w2 = 8281.466, dw = -0.10635, nw = 1651 z120627.0001.ec.fits: ap = 16, w1 = 8334.385, w2 = 8161.457, dw = -0.1048, nw = 1651 z120627.0001.ec.fits: ap = 17, w1 = 8215.333, w2 = 8044.876, dw = -0.10331, nw = 1651 z120627.0001.ec.fits: ap = 18, w1 = 8099.634, w2 = 7931.58, dw = -0.10185, nw = 1651 z120627.0001.ec.fits: ap = 19, w1 = 7987.15, w2 = 7821.43, dw = -0.10044, nw = 1651 z120627.0001.ec.fits: ap = 20, w1 = 7877.747, w2 = 7714.299, dw = -0.09906, nw = 1651 z120627.0001.ec.fits: ap = 21, w1 = 7771.301, w2 = 7610.062, dw = -0.09772, nw = 1651 z120627.0001.ec.fits: ap = 22, w1 = 7667.694, w2 = 7508.606, dw = -0.09642, nw = 1651 z120627.0001.ec.fits: ap = 23, w1 = 7566.813, w2 = 7409.82, dw = -0.09515, nw = 1651 z120627.0001.ec.fits: ap = 24, w1 = 7468.552, w2 = 7313.599, dw = -0.09391, nw = 1651 z120627.0001.ec.fits: ap = 25, w1 = 7372.811, w2 = 7219.846, dw = -0.09271, nw = 1651 z120627.0001.ec.fits: ap = 26, w1 = 7279.493, w2 = 7128.466, dw = -0.09153, nw = 1651 z120627.0001.ec.fits: ap = 27, w1 = 7188.508, w2 = 7039.371, dw = -0.09039, nw = 1651 z120627.0001.ec.fits: ap = 28, w1 = 7099.77, w2 = 6952.476, dw = -0.08927, nw = 1651 z120627.0001.ec.fits: ap = 29, w1 = 7013.197, w2 = 6867.7, dw = -0.08818, nw = 1651 z120627.0001.ec.fits: ap = 30, w1 = 6928.709, w2 = 6784.967, dw = -0.08712, nw = 1651 z120627.0001.ec.fits: ap = 31, w1 = 6846.233, w2 = 6704.204, dw = -0.08608, nw = 1651 z120627.0001.ec.fits: ap = 32, w1 = 6765.697, w2 = 6625.341, dw = -0.08506, nw = 1651 z120627.0001.ec.fits: ap = 33, w1 = 6687.035, w2 = 6548.312, dw = -0.08407, nw = 1651 z120627.0001.ec.fits: ap = 34, w1 = 6610.181, w2 = 6473.055, dw = -0.08311, nw = 1651 z120627.0001.ec.fits: ap = 35, w1 = 6535.073, w2 = 6399.507, dw = -0.08216, nw = 1651 z120627.0001.ec.fits: ap = 36, w1 = 6461.654, w2 = 6327.613, dw = -0.08124, nw = 1651 z120627.0001.ec.fits: ap = 37, w1 = 6389.866, w2 = 6257.316, dw = -0.08033, nw = 1651 z120627.0001.ec.fits: ap = 38, w1 = 6319.655, w2 = 6188.564, dw = -0.07945, nw = 1651 z120627.0001.ec.fits: ap = 39, w1 = 6250.971, w2 = 6121.307, dw = -0.07858, nw = 1651 z120627.0001.ec.fits: ap = 40, w1 = 6183.764, w2 = 6055.497, dw = -0.07774, nw = 1651 z120627.0001.ec.fits: ap = 41, w1 = 6117.988, w2 = 5991.086, dw = -0.07691, nw = 1651 z120627.0001.ec.fits: ap = 42, w1 = 6053.596, w2 = 5928.032, dw = -0.0761, nw = 1651 z120627.0001.ec.fits: ap = 43, w1 = 5990.545, w2 = 5866.292, dw = -0.07531, nw = 1651 z120627.0001.ec.fits: ap = 44, w1 = 5928.795, w2 = 5805.824, dw = -0.07453, nw = 1651 z120627.0001.ec.fits: ap = 45, w1 = 5868.304, w2 = 5746.591, dw = -0.07377, nw = 1651 z120627.0001.ec.fits: ap = 46, w1 = 5809.036, w2 = 5688.554, dw = -0.07302, nw = 1651 z120627.0001.ec.fits: ap = 47, w1 = 5750.953, w2 = 5631.678, dw = -0.07229, nw = 1651 z120627.0001.ec.fits: ap = 48, w1 = 5694.021, w2 = 5575.929, dw = -0.07157, nw = 1651 z120627.0001.ec.fits: ap = 49, w1 = 5638.205, w2 = 5521.273, dw = -0.07087, nw = 1651 z120627.0001.ec.fits: ap = 50, w1 = 5583.473, w2 = 5467.678, dw = -0.07018, nw = 1651 z120627.0001.ec.fits: ap = 51, w1 = 5529.793, w2 = 5415.114, dw = -0.0695, nw = 1651 z120627.0001.ec.fits: ap = 52, w1 = 5477.136, w2 = 5363.551, dw = -0.06884, nw = 1651 z120627.0001.ec.fits: ap = 53, w1 = 5425.472, w2 = 5312.961, dw = -0.06819, nw = 1651 z120627.0001.ec.fits: ap = 54, w1 = 5374.775, w2 = 5263.317, dw = -0.06755, nw = 1651 z120627.0001.ec.fits: ap = 55, w1 = 5325.016, w2 = 5214.592, dw = -0.06692, nw = 1651 z120627.0001.ec.fits: ap = 56, w1 = 5276.17, w2 = 5166.761, dw = -0.06631, nw = 1651 z120627.0001.ec.fits: ap = 57, w1 = 5228.212, w2 = 5119.8, dw = -0.0657, nw = 1651 z120627.0001.ec.fits: ap = 58, w1 = 5181.119, w2 = 5073.686, dw = -0.06511, nw = 1651 z120627.0001.ec.fits: ap = 59, w1 = 5134.867, w2 = 5028.395, dw = -0.06453, nw = 1651 z120627.0001.ec.fits: ap = 60, w1 = 5089.433, w2 = 4983.905, dw = -0.06396, nw = 1651 z120627.0001.ec.fits: ap = 61, w1 = 5044.797, w2 = 4940.196, dw = -0.06339, nw = 1651 z120627.0001.ec.fits: ap = 62, w1 = 5000.937, w2 = 4897.248, dw = -0.06284, nw = 1651 z120627.0001.ec.fits: ap = 63, w1 = 4957.833, w2 = 4855.04, dw = -0.0623, nw = 1651 z120627.0001.ec.fits: ap = 64, w1 = 4915.466, w2 = 4813.554, dw = -0.06177, nw = 1651 z120627.0001.ec.fits: ap = 65, w1 = 4873.817, w2 = 4772.77, dw = -0.06124, nw = 1651 z120627.0001.ec.fits: ap = 66, w1 = 4832.869, w2 = 4732.673, dw = -0.06072, nw = 1651 z120627.0001.ec.fits: ap = 67, w1 = 4792.603, w2 = 4693.244, dw = -0.06022, nw = 1651 z120627.0001.ec.fits: ap = 68, w1 = 4753.002, w2 = 4654.466, dw = -0.05972, nw = 1651 z120627.0001.ec.fits: ap = 69, w1 = 4714.051, w2 = 4616.325, dw = -0.05923, nw = 1651 z120627.0001.ec.fits: ap = 70, w1 = 4675.734, w2 = 4578.803, dw = -0.05875, nw = 1651 z120627.0001.ec.fits: ap = 71, w1 = 4638.034, w2 = 4541.887, dw = -0.05827, nw = 1651 z120627.0001.ec.fits: ap = 72, w1 = 4600.938, w2 = 4505.562, dw = -0.0578, nw = 1651 z120627.0001.ec.fits: ap = 73, w1 = 4564.431, w2 = 4469.813, dw = -0.05734, nw = 1651 z120627.0001.ec.fits: ap = 74, w1 = 4528.499, w2 = 4434.628, dw = -0.05689, nw = 1651 z120627.0001.ec.fits: ap = 75, w1 = 4493.128, w2 = 4399.992, dw = -0.05645, nw = 1651 z120627.0001.ec.fits: ap = 76, w1 = 4458.306, w2 = 4365.893, dw = -0.05601, nw = 1651 z120627.0001.ec.fits: ap = 77, w1 = 4424.02, w2 = 4332.32, dw = -0.05558, nw = 1651 z120627.0001.ec.fits: ap = 78, w1 = 4390.257, w2 = 4299.258, dw = -0.05515, nw = 1651 z120627.0001.ec.fits: ap = 79, w1 = 4357.006, w2 = 4266.698, dw = -0.05473, nw = 1651 z120627.0001.ec.fits: ap = 80, w1 = 4324.255, w2 = 4234.628, dw = -0.05432, nw = 1651 z120627.0001.ec.fits: ap = 81, w1 = 4291.993, w2 = 4203.036, dw = -0.05391, nw = 1651 z120627.0001.ec.fits: ap = 82, w1 = 4260.21, w2 = 4171.913, dw = -0.05351, nw = 1651 z120627.0001.ec.fits: ap = 83, w1 = 4228.893, w2 = 4141.247, dw = -0.05312, nw = 1651 z120627.0001.ec.fits: ap = 84, w1 = 4198.034, w2 = 4111.029, dw = -0.05273, nw = 1651 z120627.0001.ec.fits: ap = 85, w1 = 4167.623, w2 = 4081.249, dw = -0.05235, nw = 1651 z120627.0001.ec.fits: ap = 86, w1 = 4137.649, w2 = 4051.898, dw = -0.05197, nw = 1651 z120627.0001.ec.fits: ap = 87, w1 = 4108.104, w2 = 4022.966, dw = -0.0516, nw = 1651 z120627.0001.ec.fits: ap = 88, w1 = 4078.977, w2 = 3994.444, dw = -0.05123, nw = 1651 z120627.0001.ec.fits: ap = 89, w1 = 4050.261, w2 = 3966.325, dw = -0.05087, nw = 1651 z120627.0001.ec.fits: ap = 90, w1 = 4021.947, w2 = 3938.598, dw = -0.05051, nw = 1651 z120627.0001.ec.fits: ap = 91, w1 = 3994.026, w2 = 3911.257, dw = -0.05016, nw = 1651 z120627.0001.ec.fits: ap = 92, w1 = 3966.491, w2 = 3884.293, dw = -0.04982, nw = 1651 z120627.0001.ec.fits: ap = 93, w1 = 3939.333, w2 = 3857.699, dw = -0.04947, nw = 1651 z120627.0001.ec.fits: ap = 94, w1 = 3912.544, w2 = 3831.467, dw = -0.04914, nw = 1651 z120627.0001.ec.fits: ap = 95, w1 = 3886.118, w2 = 3805.589, dw = -0.04881, nw = 1651 z120627.0001.ec.fits: ap = 96, w1 = 3860.047, w2 = 3780.059, dw = -0.04848, nw = 1651 z120627.0001.ec.fits: ap = 97, w1 = 3834.323, w2 = 3754.869, dw = -0.04815, nw = 1651 z120627.0001.ec.fits: ap = 98, w1 = 3808.94, w2 = 3730.013, dw = -0.04783, nw = 1651 z120627.0001.ec.fits: ap = 99, w1 = 3783.891, w2 = 3705.484, dw = -0.04752, nw = 1651 z120627.0001.ec.fits: ap = 100, w1 = 3759.17, w2 = 3681.276, dw = -0.04721, nw = 1651 z120627.0001.ec.fits: ap = 101, w1 = 3734.77, w2 = 3657.382, dw = -0.0469, nw = 1651 z120627.0001.ec.fits: ap = 102, w1 = 3710.686, w2 = 3633.797, dw = -0.0466, nw = 1651 z120627.0001.ec.fits: ap = 103, w1 = 3686.91, w2 = 3610.514, dw = -0.0463, nw = 1651 z120627.0001.ec.fits: ap = 104, w1 = 3663.437, w2 = 3587.528, dw = -0.04601, nw = 1651 z120627.0001.ec.fits: ap = 105, w1 = 3640.261, w2 = 3564.833, dw = -0.04571, nw = 1651 z120627.0001.ec.fits: ap = 106, w1 = 3617.377, w2 = 3542.424, dw = -0.04543, nw = 1651 z120627.0001.ec.fits: ap = 107, w1 = 3594.78, w2 = 3520.294, dw = -0.04514, nw = 1651 120627.0002.ec.fits: REFSPEC1 = '120627.0002.ec 1.' z120627.0002.ec.fits: ap = 1, w1 = 10649.28, w2 = 10428.27, dw = -0.13395, nw = 1651 z120627.0002.ec.fits: ap = 2, w1 = 10455.68, w2 = 10238.68, dw = -0.13151, nw = 1651 z120627.0002.ec.fits: ap = 3, w1 = 10268.98, w2 = 10055.86, dw = -0.12916, nw = 1651 z120627.0002.ec.fits: ap = 4, w1 = 10088.84, w2 = 9879.46, dw = -0.1269, nw = 1651 z120627.0002.ec.fits: ap = 5, w1 = 9914.905, w2 = 9709.139, dw = -0.12471, nw = 1651 z120627.0002.ec.fits: ap = 6, w1 = 9746.868, w2 = 9544.593, dw = -0.12259, nw = 1651 z120627.0002.ec.fits: ap = 7, w1 = 9584.433, w2 = 9385.531, dw = -0.12055, nw = 1651 z120627.0002.ec.fits: ap = 8, w1 = 9427.323, w2 = 9231.684, dw = -0.11857, nw = 1651 z120627.0002.ec.fits: ap = 9, w1 = 9275.282, w2 = 9082.799, dw = -0.11666, nw = 1651 z120627.0002.ec.fits: ap = 10, w1 = 9128.067, w2 = 8938.642, dw = -0.1148, nw = 1651 z120627.0002.ec.fits: ap = 11, w1 = 8985.452, w2 = 8798.989, dw = -0.11301, nw = 1651 z120627.0002.ec.fits: ap = 12, w1 = 8847.226, w2 = 8663.633, dw = -0.11127, nw = 1651 z120627.0002.ec.fits: ap = 13, w1 = 8713.188, w2 = 8532.379, dw = -0.10958, nw = 1651 z120627.0002.ec.fits: ap = 14, w1 = 8583.151, w2 = 8405.043, dw = -0.10794, nw = 1651 z120627.0002.ec.fits: ap = 15, w1 = 8456.939, w2 = 8281.452, dw = -0.10636, nw = 1651 z120627.0002.ec.fits: ap = 16, w1 = 8334.385, w2 = 8161.443, dw = -0.10481, nw = 1651 z120627.0002.ec.fits: ap = 17, w1 = 8215.333, w2 = 8044.864, dw = -0.10331, nw = 1651 z120627.0002.ec.fits: ap = 18, w1 = 8099.634, w2 = 7931.568, dw = -0.10186, nw = 1651 z120627.0002.ec.fits: ap = 19, w1 = 7987.149, w2 = 7821.419, dw = -0.10044, nw = 1651 z120627.0002.ec.fits: ap = 20, w1 = 7877.746, w2 = 7714.288, dw = -0.09907, nw = 1651 z120627.0002.ec.fits: ap = 21, w1 = 7771.299, w2 = 7610.053, dw = -0.09773, nw = 1651 z120627.0002.ec.fits: ap = 22, w1 = 7667.691, w2 = 7508.597, dw = -0.09642, nw = 1651 z120627.0002.ec.fits: ap = 23, w1 = 7566.81, w2 = 7409.811, dw = -0.09515, nw = 1651 z120627.0002.ec.fits: ap = 24, w1 = 7468.549, w2 = 7313.591, dw = -0.09391, nw = 1651 z120627.0002.ec.fits: ap = 25, w1 = 7372.808, w2 = 7219.838, dw = -0.09271, nw = 1651 z120627.0002.ec.fits: ap = 26, w1 = 7279.49, w2 = 7128.458, dw = -0.09153, nw = 1651 z120627.0002.ec.fits: ap = 27, w1 = 7188.505, w2 = 7039.364, dw = -0.09039, nw = 1651 z120627.0002.ec.fits: ap = 28, w1 = 7099.767, w2 = 6952.469, dw = -0.08927, nw = 1651 z120627.0002.ec.fits: ap = 29, w1 = 7013.193, w2 = 6867.693, dw = -0.08818, nw = 1651 z120627.0002.ec.fits: ap = 30, w1 = 6928.706, w2 = 6784.96, dw = -0.08712, nw = 1651 z120627.0002.ec.fits: ap = 31, w1 = 6846.229, w2 = 6704.198, dw = -0.08608, nw = 1651 z120627.0002.ec.fits: ap = 32, w1 = 6765.694, w2 = 6625.335, dw = -0.08507, nw = 1651 z120627.0002.ec.fits: ap = 33, w1 = 6687.032, w2 = 6548.307, dw = -0.08408, nw = 1651 z120627.0002.ec.fits: ap = 34, w1 = 6610.178, w2 = 6473.049, dw = -0.08311, nw = 1651 z120627.0002.ec.fits: ap = 35, w1 = 6535.07, w2 = 6399.502, dw = -0.08216, nw = 1651 z120627.0002.ec.fits: ap = 36, w1 = 6461.651, w2 = 6327.607, dw = -0.08124, nw = 1651 z120627.0002.ec.fits: ap = 37, w1 = 6389.863, w2 = 6257.311, dw = -0.08033, nw = 1651 z120627.0002.ec.fits: ap = 38, w1 = 6319.653, w2 = 6188.559, dw = -0.07945, nw = 1651 z120627.0002.ec.fits: ap = 39, w1 = 6250.969, w2 = 6121.302, dw = -0.07859, nw = 1651 z120627.0002.ec.fits: ap = 40, w1 = 6183.762, w2 = 6055.491, dw = -0.07774, nw = 1651 z120627.0002.ec.fits: ap = 41, w1 = 6117.985, w2 = 5991.081, dw = -0.07691, nw = 1651 z120627.0002.ec.fits: ap = 42, w1 = 6053.594, w2 = 5928.027, dw = -0.0761, nw = 1651 z120627.0002.ec.fits: ap = 43, w1 = 5990.543, w2 = 5866.286, dw = -0.07531, nw = 1651 z120627.0002.ec.fits: ap = 44, w1 = 5928.793, w2 = 5805.819, dw = -0.07453, nw = 1651 z120627.0002.ec.fits: ap = 45, w1 = 5868.303, w2 = 5746.585, dw = -0.07377, nw = 1651 z120627.0002.ec.fits: ap = 46, w1 = 5809.035, w2 = 5688.549, dw = -0.07302, nw = 1651 z120627.0002.ec.fits: ap = 47, w1 = 5750.953, w2 = 5631.673, dw = -0.07229, nw = 1651 z120627.0002.ec.fits: ap = 48, w1 = 5694.021, w2 = 5575.923, dw = -0.07157, nw = 1651 z120627.0002.ec.fits: ap = 49, w1 = 5638.205, w2 = 5521.267, dw = -0.07087, nw = 1651 z120627.0002.ec.fits: ap = 50, w1 = 5583.473, w2 = 5467.672, dw = -0.07018, nw = 1651 z120627.0002.ec.fits: ap = 51, w1 = 5529.793, w2 = 5415.107, dw = -0.06951, nw = 1651 z120627.0002.ec.fits: ap = 52, w1 = 5477.137, w2 = 5363.544, dw = -0.06884, nw = 1651 z120627.0002.ec.fits: ap = 53, w1 = 5425.473, w2 = 5312.954, dw = -0.06819, nw = 1651 z120627.0002.ec.fits: ap = 54, w1 = 5374.776, w2 = 5263.31, dw = -0.06756, nw = 1651 z120627.0002.ec.fits: ap = 55, w1 = 5325.017, w2 = 5214.585, dw = -0.06693, nw = 1651 z120627.0002.ec.fits: ap = 56, w1 = 5276.172, w2 = 5166.754, dw = -0.06631, nw = 1651 z120627.0002.ec.fits: ap = 57, w1 = 5228.215, w2 = 5119.793, dw = -0.06571, nw = 1651 z120627.0002.ec.fits: ap = 58, w1 = 5181.122, w2 = 5073.678, dw = -0.06512, nw = 1651 z120627.0002.ec.fits: ap = 59, w1 = 5134.87, w2 = 5028.387, dw = -0.06454, nw = 1651 z120627.0002.ec.fits: ap = 60, w1 = 5089.436, w2 = 4983.897, dw = -0.06396, nw = 1651 z120627.0002.ec.fits: ap = 61, w1 = 5044.8, w2 = 4940.188, dw = -0.0634, nw = 1651 z120627.0002.ec.fits: ap = 62, w1 = 5000.94, w2 = 4897.239, dw = -0.06285, nw = 1651 z120627.0002.ec.fits: ap = 63, w1 = 4957.837, w2 = 4855.031, dw = -0.06231, nw = 1651 z120627.0002.ec.fits: ap = 64, w1 = 4915.47, w2 = 4813.544, dw = -0.06177, nw = 1651 z120627.0002.ec.fits: ap = 65, w1 = 4873.822, w2 = 4772.761, dw = -0.06125, nw = 1651 z120627.0002.ec.fits: ap = 66, w1 = 4832.874, w2 = 4732.663, dw = -0.06073, nw = 1651 z120627.0002.ec.fits: ap = 67, w1 = 4792.608, w2 = 4693.234, dw = -0.06023, nw = 1651 z120627.0002.ec.fits: ap = 68, w1 = 4753.008, w2 = 4654.456, dw = -0.05973, nw = 1651 z120627.0002.ec.fits: ap = 69, w1 = 4714.057, w2 = 4616.314, dw = -0.05924, nw = 1651 z120627.0002.ec.fits: ap = 70, w1 = 4675.74, w2 = 4578.793, dw = -0.05876, nw = 1651 z120627.0002.ec.fits: ap = 71, w1 = 4638.04, w2 = 4541.876, dw = -0.05828, nw = 1651 z120627.0002.ec.fits: ap = 72, w1 = 4600.945, w2 = 4505.551, dw = -0.05781, nw = 1651 z120627.0002.ec.fits: ap = 73, w1 = 4564.438, w2 = 4469.802, dw = -0.05735, nw = 1651 z120627.0002.ec.fits: ap = 74, w1 = 4528.506, w2 = 4434.616, dw = -0.0569, nw = 1651 z120627.0002.ec.fits: ap = 75, w1 = 4493.135, w2 = 4399.98, dw = -0.05646, nw = 1651 z120627.0002.ec.fits: ap = 76, w1 = 4458.313, w2 = 4365.881, dw = -0.05602, nw = 1651 z120627.0002.ec.fits: ap = 77, w1 = 4424.027, w2 = 4332.307, dw = -0.05559, nw = 1651 z120627.0002.ec.fits: ap = 78, w1 = 4390.265, w2 = 4299.246, dw = -0.05516, nw = 1651 z120627.0002.ec.fits: ap = 79, w1 = 4357.014, w2 = 4266.685, dw = -0.05474, nw = 1651 z120627.0002.ec.fits: ap = 80, w1 = 4324.263, w2 = 4234.615, dw = -0.05433, nw = 1651 z120627.0002.ec.fits: ap = 81, w1 = 4292.002, w2 = 4203.023, dw = -0.05393, nw = 1651 z120627.0002.ec.fits: ap = 82, w1 = 4260.218, w2 = 4171.899, dw = -0.05353, nw = 1651 z120627.0002.ec.fits: ap = 83, w1 = 4228.902, w2 = 4141.233, dw = -0.05313, nw = 1651 z120627.0002.ec.fits: ap = 84, w1 = 4198.043, w2 = 4111.015, dw = -0.05274, nw = 1651 z120627.0002.ec.fits: ap = 85, w1 = 4167.632, w2 = 4081.235, dw = -0.05236, nw = 1651 z120627.0002.ec.fits: ap = 86, w1 = 4137.658, w2 = 4051.883, dw = -0.05198, nw = 1651 z120627.0002.ec.fits: ap = 87, w1 = 4108.113, w2 = 4022.951, dw = -0.05161, nw = 1651 z120627.0002.ec.fits: ap = 88, w1 = 4078.986, w2 = 3994.429, dw = -0.05125, nw = 1651 z120627.0002.ec.fits: ap = 89, w1 = 4050.271, w2 = 3966.309, dw = -0.05089, nw = 1651 z120627.0002.ec.fits: ap = 90, w1 = 4021.956, w2 = 3938.583, dw = -0.05053, nw = 1651 z120627.0002.ec.fits: ap = 91, w1 = 3994.036, w2 = 3911.242, dw = -0.05018, nw = 1651 z120627.0002.ec.fits: ap = 92, w1 = 3966.5, w2 = 3884.278, dw = -0.04983, nw = 1651 z120627.0002.ec.fits: ap = 93, w1 = 3939.342, w2 = 3857.683, dw = -0.04949, nw = 1651 z120627.0002.ec.fits: ap = 94, w1 = 3912.554, w2 = 3831.451, dw = -0.04915, nw = 1651 z120627.0002.ec.fits: ap = 95, w1 = 3886.127, w2 = 3805.573, dw = -0.04882, nw = 1651 z120627.0002.ec.fits: ap = 96, w1 = 3860.056, w2 = 3780.042, dw = -0.04849, nw = 1651 z120627.0002.ec.fits: ap = 97, w1 = 3834.332, w2 = 3754.852, dw = -0.04817, nw = 1651 z120627.0002.ec.fits: ap = 98, w1 = 3808.949, w2 = 3729.996, dw = -0.04785, nw = 1651 z120627.0002.ec.fits: ap = 99, w1 = 3783.901, w2 = 3705.467, dw = -0.04754, nw = 1651 z120627.0002.ec.fits: ap = 100, w1 = 3759.18, w2 = 3681.258, dw = -0.04723, nw = 1651 z120627.0002.ec.fits: ap = 101, w1 = 3734.78, w2 = 3657.365, dw = -0.04692, nw = 1651 z120627.0002.ec.fits: ap = 102, w1 = 3710.695, w2 = 3633.779, dw = -0.04662, nw = 1651 z120627.0002.ec.fits: ap = 103, w1 = 3686.919, w2 = 3610.496, dw = -0.04632, nw = 1651 z120627.0002.ec.fits: ap = 104, w1 = 3663.446, w2 = 3587.51, dw = -0.04602, nw = 1651 z120627.0002.ec.fits: ap = 105, w1 = 3640.27, w2 = 3564.815, dw = -0.04573, nw = 1651 z120627.0002.ec.fits: ap = 106, w1 = 3617.386, w2 = 3542.405, dw = -0.04544, nw = 1651 z120627.0002.ec.fits: ap = 107, w1 = 3594.788, w2 = 3520.276, dw = -0.04516, nw = 1651 120627.0038.ec.fits: REFSPEC1 = '120627.0038.ec 1.' z120627.0038.ec.fits: ap = 1, w1 = 10649.25, w2 = 10428.19, dw = -0.13398, nw = 1651 z120627.0038.ec.fits: ap = 2, w1 = 10455.64, w2 = 10238.6, dw = -0.13154, nw = 1651 z120627.0038.ec.fits: ap = 3, w1 = 10268.95, w2 = 10055.79, dw = -0.12919, nw = 1651 z120627.0038.ec.fits: ap = 4, w1 = 10088.8, w2 = 9879.387, dw = -0.12692, nw = 1651 z120627.0038.ec.fits: ap = 5, w1 = 9914.869, w2 = 9709.069, dw = -0.12473, nw = 1651 z120627.0038.ec.fits: ap = 6, w1 = 9746.833, w2 = 9544.525, dw = -0.12261, nw = 1651 z120627.0038.ec.fits: ap = 7, w1 = 9584.398, w2 = 9385.465, dw = -0.12057, nw = 1651 z120627.0038.ec.fits: ap = 8, w1 = 9427.288, w2 = 9231.621, dw = -0.11859, nw = 1651 z120627.0038.ec.fits: ap = 9, w1 = 9275.247, w2 = 9082.739, dw = -0.11667, nw = 1651 z120627.0038.ec.fits: ap = 10, w1 = 9128.032, w2 = 8938.583, dw = -0.11482, nw = 1651 z120627.0038.ec.fits: ap = 11, w1 = 8985.418, w2 = 8798.932, dw = -0.11302, nw = 1651 z120627.0038.ec.fits: ap = 12, w1 = 8847.192, w2 = 8663.578, dw = -0.11128, nw = 1651 z120627.0038.ec.fits: ap = 13, w1 = 8713.154, w2 = 8532.325, dw = -0.10959, nw = 1651 z120627.0038.ec.fits: ap = 14, w1 = 8583.118, w2 = 8404.99, dw = -0.10796, nw = 1651 z120627.0038.ec.fits: ap = 15, w1 = 8456.906, w2 = 8281.401, dw = -0.10637, nw = 1651 z120627.0038.ec.fits: ap = 16, w1 = 8334.352, w2 = 8161.393, dw = -0.10482, nw = 1651 z120627.0038.ec.fits: ap = 17, w1 = 8215.3, w2 = 8044.815, dw = -0.10332, nw = 1651 z120627.0038.ec.fits: ap = 18, w1 = 8099.602, w2 = 7931.52, dw = -0.10187, nw = 1651 z120627.0038.ec.fits: ap = 19, w1 = 7987.117, w2 = 7821.372, dw = -0.10045, nw = 1651 z120627.0038.ec.fits: ap = 20, w1 = 7877.715, w2 = 7714.242, dw = -0.09907, nw = 1651 z120627.0038.ec.fits: ap = 21, w1 = 7771.269, w2 = 7610.007, dw = -0.09773, nw = 1651 z120627.0038.ec.fits: ap = 22, w1 = 7667.662, w2 = 7508.552, dw = -0.09643, nw = 1651 z120627.0038.ec.fits: ap = 23, w1 = 7566.781, w2 = 7409.766, dw = -0.09516, nw = 1651 z120627.0038.ec.fits: ap = 24, w1 = 7468.52, w2 = 7313.547, dw = -0.09392, nw = 1651 z120627.0038.ec.fits: ap = 25, w1 = 7372.779, w2 = 7219.794, dw = -0.09272, nw = 1651 z120627.0038.ec.fits: ap = 26, w1 = 7279.462, w2 = 7128.415, dw = -0.09154, nw = 1651 z120627.0038.ec.fits: ap = 27, w1 = 7188.478, w2 = 7039.321, dw = -0.0904, nw = 1651 z120627.0038.ec.fits: ap = 28, w1 = 7099.741, w2 = 6952.426, dw = -0.08928, nw = 1651 z120627.0038.ec.fits: ap = 29, w1 = 7013.167, w2 = 6867.651, dw = -0.08819, nw = 1651 z120627.0038.ec.fits: ap = 30, w1 = 6928.68, w2 = 6784.919, dw = -0.08713, nw = 1651 z120627.0038.ec.fits: ap = 31, w1 = 6846.205, w2 = 6704.156, dw = -0.08609, nw = 1651 z120627.0038.ec.fits: ap = 32, w1 = 6765.67, w2 = 6625.294, dw = -0.08508, nw = 1651 z120627.0038.ec.fits: ap = 33, w1 = 6687.008, w2 = 6548.266, dw = -0.08409, nw = 1651 z120627.0038.ec.fits: ap = 34, w1 = 6610.155, w2 = 6473.008, dw = -0.08312, nw = 1651 z120627.0038.ec.fits: ap = 35, w1 = 6535.048, w2 = 6399.461, dw = -0.08217, nw = 1651 z120627.0038.ec.fits: ap = 36, w1 = 6461.629, w2 = 6327.567, dw = -0.08125, nw = 1651 z120627.0038.ec.fits: ap = 37, w1 = 6389.842, w2 = 6257.27, dw = -0.08035, nw = 1651 z120627.0038.ec.fits: ap = 38, w1 = 6319.632, w2 = 6188.519, dw = -0.07946, nw = 1651 z120627.0038.ec.fits: ap = 39, w1 = 6250.949, w2 = 6121.262, dw = -0.0786, nw = 1651 z120627.0038.ec.fits: ap = 40, w1 = 6183.743, w2 = 6055.451, dw = -0.07775, nw = 1651 z120627.0038.ec.fits: ap = 41, w1 = 6117.967, w2 = 5991.041, dw = -0.07692, nw = 1651 z120627.0038.ec.fits: ap = 42, w1 = 6053.575, w2 = 5927.987, dw = -0.07611, nw = 1651 z120627.0038.ec.fits: ap = 43, w1 = 5990.526, w2 = 5866.246, dw = -0.07532, nw = 1651 z120627.0038.ec.fits: ap = 44, w1 = 5928.776, w2 = 5805.779, dw = -0.07454, nw = 1651 z120627.0038.ec.fits: ap = 45, w1 = 5868.286, w2 = 5746.546, dw = -0.07378, nw = 1651 z120627.0038.ec.fits: ap = 46, w1 = 5809.019, w2 = 5688.509, dw = -0.07304, nw = 1651 z120627.0038.ec.fits: ap = 47, w1 = 5750.937, w2 = 5631.633, dw = -0.07231, nw = 1651 z120627.0038.ec.fits: ap = 48, w1 = 5694.005, w2 = 5575.884, dw = -0.07159, nw = 1651 z120627.0038.ec.fits: ap = 49, w1 = 5638.19, w2 = 5521.228, dw = -0.07089, nw = 1651 z120627.0038.ec.fits: ap = 50, w1 = 5583.458, w2 = 5467.633, dw = -0.0702, nw = 1651 z120627.0038.ec.fits: ap = 51, w1 = 5529.779, w2 = 5415.069, dw = -0.06952, nw = 1651 z120627.0038.ec.fits: ap = 52, w1 = 5477.123, w2 = 5363.506, dw = -0.06886, nw = 1651 z120627.0038.ec.fits: ap = 53, w1 = 5425.46, w2 = 5312.916, dw = -0.06821, nw = 1651 z120627.0038.ec.fits: ap = 54, w1 = 5374.763, w2 = 5263.272, dw = -0.06757, nw = 1651 z120627.0038.ec.fits: ap = 55, w1 = 5325.005, w2 = 5214.547, dw = -0.06694, nw = 1651 z120627.0038.ec.fits: ap = 56, w1 = 5276.16, w2 = 5166.717, dw = -0.06633, nw = 1651 z120627.0038.ec.fits: ap = 57, w1 = 5228.203, w2 = 5119.756, dw = -0.06573, nw = 1651 z120627.0038.ec.fits: ap = 58, w1 = 5181.11, w2 = 5073.641, dw = -0.06513, nw = 1651 z120627.0038.ec.fits: ap = 59, w1 = 5134.858, w2 = 5028.35, dw = -0.06455, nw = 1651 z120627.0038.ec.fits: ap = 60, w1 = 5089.425, w2 = 4983.861, dw = -0.06398, nw = 1651 z120627.0038.ec.fits: ap = 61, w1 = 5044.789, w2 = 4940.152, dw = -0.06342, nw = 1651 z120627.0038.ec.fits: ap = 62, w1 = 5000.93, w2 = 4897.204, dw = -0.06286, nw = 1651 z120627.0038.ec.fits: ap = 63, w1 = 4957.827, w2 = 4854.996, dw = -0.06232, nw = 1651 z120627.0038.ec.fits: ap = 64, w1 = 4915.46, w2 = 4813.51, dw = -0.06179, nw = 1651 z120627.0038.ec.fits: ap = 65, w1 = 4873.812, w2 = 4772.727, dw = -0.06126, nw = 1651 z120627.0038.ec.fits: ap = 66, w1 = 4832.864, w2 = 4732.63, dw = -0.06075, nw = 1651 z120627.0038.ec.fits: ap = 67, w1 = 4792.598, w2 = 4693.201, dw = -0.06024, nw = 1651 z120627.0038.ec.fits: ap = 68, w1 = 4752.998, w2 = 4654.424, dw = -0.05974, nw = 1651 z120627.0038.ec.fits: ap = 69, w1 = 4714.048, w2 = 4616.283, dw = -0.05925, nw = 1651 z120627.0038.ec.fits: ap = 70, w1 = 4675.73, w2 = 4578.762, dw = -0.05877, nw = 1651 z120627.0038.ec.fits: ap = 71, w1 = 4638.031, w2 = 4541.847, dw = -0.05829, nw = 1651 z120627.0038.ec.fits: ap = 72, w1 = 4600.935, w2 = 4505.522, dw = -0.05783, nw = 1651 z120627.0038.ec.fits: ap = 73, w1 = 4564.428, w2 = 4469.774, dw = -0.05737, nw = 1651 z120627.0038.ec.fits: ap = 74, w1 = 4528.496, w2 = 4434.589, dw = -0.05691, nw = 1651 z120627.0038.ec.fits: ap = 75, w1 = 4493.126, w2 = 4399.954, dw = -0.05647, nw = 1651 z120627.0038.ec.fits: ap = 76, w1 = 4458.304, w2 = 4365.856, dw = -0.05603, nw = 1651 z120627.0038.ec.fits: ap = 77, w1 = 4424.018, w2 = 4332.283, dw = -0.0556, nw = 1651 z120627.0038.ec.fits: ap = 78, w1 = 4390.255, w2 = 4299.222, dw = -0.05517, nw = 1651 z120627.0038.ec.fits: ap = 79, w1 = 4357.004, w2 = 4266.663, dw = -0.05475, nw = 1651 z120627.0038.ec.fits: ap = 80, w1 = 4324.253, w2 = 4234.594, dw = -0.05434, nw = 1651 z120627.0038.ec.fits: ap = 81, w1 = 4291.991, w2 = 4203.003, dw = -0.05393, nw = 1651 z120627.0038.ec.fits: ap = 82, w1 = 4260.208, w2 = 4171.88, dw = -0.05353, nw = 1651 z120627.0038.ec.fits: ap = 83, w1 = 4228.891, w2 = 4141.215, dw = -0.05314, nw = 1651 z120627.0038.ec.fits: ap = 84, w1 = 4198.032, w2 = 4110.998, dw = -0.05275, nw = 1651 z120627.0038.ec.fits: ap = 85, w1 = 4167.62, w2 = 4081.22, dw = -0.05236, nw = 1651 z120627.0038.ec.fits: ap = 86, w1 = 4137.646, w2 = 4051.869, dw = -0.05199, nw = 1651 z120627.0038.ec.fits: ap = 87, w1 = 4108.1, w2 = 4022.939, dw = -0.05161, nw = 1651 z120627.0038.ec.fits: ap = 88, w1 = 4078.974, w2 = 3994.419, dw = -0.05125, nw = 1651 z120627.0038.ec.fits: ap = 89, w1 = 4050.258, w2 = 3966.3, dw = -0.05088, nw = 1651 z120627.0038.ec.fits: ap = 90, w1 = 4021.943, w2 = 3938.575, dw = -0.05053, nw = 1651 z120627.0038.ec.fits: ap = 91, w1 = 3994.022, w2 = 3911.236, dw = -0.05017, nw = 1651 z120627.0038.ec.fits: ap = 92, w1 = 3966.486, w2 = 3884.273, dw = -0.04983, nw = 1651 z120627.0038.ec.fits: ap = 93, w1 = 3939.327, w2 = 3857.68, dw = -0.04948, nw = 1651 z120627.0038.ec.fits: ap = 94, w1 = 3912.538, w2 = 3831.45, dw = -0.04914, nw = 1651 z120627.0038.ec.fits: ap = 95, w1 = 3886.111, w2 = 3805.573, dw = -0.04881, nw = 1651 z120627.0038.ec.fits: ap = 96, w1 = 3860.039, w2 = 3780.045, dw = -0.04848, nw = 1651 z120627.0038.ec.fits: ap = 97, w1 = 3834.315, w2 = 3754.857, dw = -0.04816, nw = 1651 z120627.0038.ec.fits: ap = 98, w1 = 3808.931, w2 = 3730.002, dw = -0.04784, nw = 1651 z120627.0038.ec.fits: ap = 99, w1 = 3783.882, w2 = 3705.475, dw = -0.04752, nw = 1651 z120627.0038.ec.fits: ap = 100, w1 = 3759.16, w2 = 3681.269, dw = -0.04721, nw = 1651 z120627.0038.ec.fits: ap = 101, w1 = 3734.76, w2 = 3657.377, dw = -0.0469, nw = 1651 z120627.0038.ec.fits: ap = 102, w1 = 3710.674, w2 = 3633.794, dw = -0.04659, nw = 1651 z120627.0038.ec.fits: ap = 103, w1 = 3686.897, w2 = 3610.513, dw = -0.04629, nw = 1651 z120627.0038.ec.fits: ap = 104, w1 = 3663.423, w2 = 3587.529, dw = -0.046, nw = 1651 z120627.0038.ec.fits: ap = 105, w1 = 3640.247, w2 = 3564.837, dw = -0.0457, nw = 1651 z120627.0038.ec.fits: ap = 106, w1 = 3617.362, w2 = 3542.429, dw = -0.04541, nw = 1651 z120627.0038.ec.fits: ap = 107, w1 = 3594.763, w2 = 3520.303, dw = -0.04513, nw = 1651 120627.0039.ec.fits: REFSPEC1 = '120627.0039.ec 1.' z120627.0039.ec.fits: ap = 1, w1 = 10649.26, w2 = 10428.19, dw = -0.13398, nw = 1651 z120627.0039.ec.fits: ap = 2, w1 = 10455.65, w2 = 10238.61, dw = -0.13154, nw = 1651 z120627.0039.ec.fits: ap = 3, w1 = 10268.96, w2 = 10055.79, dw = -0.12919, nw = 1651 z120627.0039.ec.fits: ap = 4, w1 = 10088.81, w2 = 9879.392, dw = -0.12692, nw = 1651 z120627.0039.ec.fits: ap = 5, w1 = 9914.878, w2 = 9709.074, dw = -0.12473, nw = 1651 z120627.0039.ec.fits: ap = 6, w1 = 9746.842, w2 = 9544.529, dw = -0.12261, nw = 1651 z120627.0039.ec.fits: ap = 7, w1 = 9584.406, w2 = 9385.469, dw = -0.12057, nw = 1651 z120627.0039.ec.fits: ap = 8, w1 = 9427.297, w2 = 9231.624, dw = -0.11859, nw = 1651 z120627.0039.ec.fits: ap = 9, w1 = 9275.255, w2 = 9082.742, dw = -0.11667, nw = 1651 z120627.0039.ec.fits: ap = 10, w1 = 9128.04, w2 = 8938.586, dw = -0.11482, nw = 1651 z120627.0039.ec.fits: ap = 11, w1 = 8985.425, w2 = 8798.935, dw = -0.11302, nw = 1651 z120627.0039.ec.fits: ap = 12, w1 = 8847.198, w2 = 8663.581, dw = -0.11128, nw = 1651 z120627.0039.ec.fits: ap = 13, w1 = 8713.16, w2 = 8532.328, dw = -0.1096, nw = 1651 z120627.0039.ec.fits: ap = 14, w1 = 8583.124, w2 = 8404.993, dw = -0.10796, nw = 1651 z120627.0039.ec.fits: ap = 15, w1 = 8456.911, w2 = 8281.404, dw = -0.10637, nw = 1651 z120627.0039.ec.fits: ap = 16, w1 = 8334.357, w2 = 8161.396, dw = -0.10482, nw = 1651 z120627.0039.ec.fits: ap = 17, w1 = 8215.305, w2 = 8044.818, dw = -0.10333, nw = 1651 z120627.0039.ec.fits: ap = 18, w1 = 8099.606, w2 = 7931.523, dw = -0.10187, nw = 1651 z120627.0039.ec.fits: ap = 19, w1 = 7987.121, w2 = 7821.375, dw = -0.10045, nw = 1651 z120627.0039.ec.fits: ap = 20, w1 = 7877.718, w2 = 7714.245, dw = -0.09907, nw = 1651 z120627.0039.ec.fits: ap = 21, w1 = 7771.271, w2 = 7610.011, dw = -0.09773, nw = 1651 z120627.0039.ec.fits: ap = 22, w1 = 7667.664, w2 = 7508.556, dw = -0.09643, nw = 1651 z120627.0039.ec.fits: ap = 23, w1 = 7566.782, w2 = 7409.77, dw = -0.09516, nw = 1651 z120627.0039.ec.fits: ap = 24, w1 = 7468.521, w2 = 7313.551, dw = -0.09392, nw = 1651 z120627.0039.ec.fits: ap = 25, w1 = 7372.78, w2 = 7219.799, dw = -0.09272, nw = 1651 z120627.0039.ec.fits: ap = 26, w1 = 7279.462, w2 = 7128.42, dw = -0.09154, nw = 1651 z120627.0039.ec.fits: ap = 27, w1 = 7188.478, w2 = 7039.326, dw = -0.09039, nw = 1651 z120627.0039.ec.fits: ap = 28, w1 = 7099.74, w2 = 6952.432, dw = -0.08928, nw = 1651 z120627.0039.ec.fits: ap = 29, w1 = 7013.166, w2 = 6867.657, dw = -0.08819, nw = 1651 z120627.0039.ec.fits: ap = 30, w1 = 6928.678, w2 = 6784.924, dw = -0.08712, nw = 1651 z120627.0039.ec.fits: ap = 31, w1 = 6846.202, w2 = 6704.162, dw = -0.08608, nw = 1651 z120627.0039.ec.fits: ap = 32, w1 = 6765.667, w2 = 6625.3, dw = -0.08507, nw = 1651 z120627.0039.ec.fits: ap = 33, w1 = 6687.005, w2 = 6548.272, dw = -0.08408, nw = 1651 z120627.0039.ec.fits: ap = 34, w1 = 6610.151, w2 = 6473.015, dw = -0.08311, nw = 1651 z120627.0039.ec.fits: ap = 35, w1 = 6535.043, w2 = 6399.468, dw = -0.08217, nw = 1651 z120627.0039.ec.fits: ap = 36, w1 = 6461.624, w2 = 6327.574, dw = -0.08124, nw = 1651 z120627.0039.ec.fits: ap = 37, w1 = 6389.836, w2 = 6257.278, dw = -0.08034, nw = 1651 z120627.0039.ec.fits: ap = 38, w1 = 6319.626, w2 = 6188.526, dw = -0.07945, nw = 1651 z120627.0039.ec.fits: ap = 39, w1 = 6250.943, w2 = 6121.269, dw = -0.07859, nw = 1651 z120627.0039.ec.fits: ap = 40, w1 = 6183.736, w2 = 6055.459, dw = -0.07774, nw = 1651 z120627.0039.ec.fits: ap = 41, w1 = 6117.96, w2 = 5991.049, dw = -0.07692, nw = 1651 z120627.0039.ec.fits: ap = 42, w1 = 6053.568, w2 = 5927.995, dw = -0.0761, nw = 1651 z120627.0039.ec.fits: ap = 43, w1 = 5990.518, w2 = 5866.255, dw = -0.07531, nw = 1651 z120627.0039.ec.fits: ap = 44, w1 = 5928.768, w2 = 5805.787, dw = -0.07453, nw = 1651 z120627.0039.ec.fits: ap = 45, w1 = 5868.278, w2 = 5746.554, dw = -0.07377, nw = 1651 z120627.0039.ec.fits: ap = 46, w1 = 5809.01, w2 = 5688.518, dw = -0.07303, nw = 1651 z120627.0039.ec.fits: ap = 47, w1 = 5750.928, w2 = 5631.642, dw = -0.07229, nw = 1651 z120627.0039.ec.fits: ap = 48, w1 = 5693.996, w2 = 5575.893, dw = -0.07158, nw = 1651 z120627.0039.ec.fits: ap = 49, w1 = 5638.18, w2 = 5521.236, dw = -0.07088, nw = 1651 z120627.0039.ec.fits: ap = 50, w1 = 5583.449, w2 = 5467.641, dw = -0.07019, nw = 1651 z120627.0039.ec.fits: ap = 51, w1 = 5529.77, w2 = 5415.077, dw = -0.06951, nw = 1651 z120627.0039.ec.fits: ap = 52, w1 = 5477.113, w2 = 5363.514, dw = -0.06885, nw = 1651 z120627.0039.ec.fits: ap = 53, w1 = 5425.45, w2 = 5312.924, dw = -0.0682, nw = 1651 z120627.0039.ec.fits: ap = 54, w1 = 5374.753, w2 = 5263.28, dw = -0.06756, nw = 1651 z120627.0039.ec.fits: ap = 55, w1 = 5324.994, w2 = 5214.555, dw = -0.06693, nw = 1651 z120627.0039.ec.fits: ap = 56, w1 = 5276.149, w2 = 5166.725, dw = -0.06632, nw = 1651 z120627.0039.ec.fits: ap = 57, w1 = 5228.192, w2 = 5119.764, dw = -0.06571, nw = 1651 z120627.0039.ec.fits: ap = 58, w1 = 5181.099, w2 = 5073.649, dw = -0.06512, nw = 1651 z120627.0039.ec.fits: ap = 59, w1 = 5134.848, w2 = 5028.358, dw = -0.06454, nw = 1651 z120627.0039.ec.fits: ap = 60, w1 = 5089.415, w2 = 4983.868, dw = -0.06397, nw = 1651 z120627.0039.ec.fits: ap = 61, w1 = 5044.779, w2 = 4940.159, dw = -0.06341, nw = 1651 z120627.0039.ec.fits: ap = 62, w1 = 5000.919, w2 = 4897.21, dw = -0.06285, nw = 1651 z120627.0039.ec.fits: ap = 63, w1 = 4957.816, w2 = 4855.002, dw = -0.06231, nw = 1651 z120627.0039.ec.fits: ap = 64, w1 = 4915.45, w2 = 4813.516, dw = -0.06178, nw = 1651 z120627.0039.ec.fits: ap = 65, w1 = 4873.801, w2 = 4772.733, dw = -0.06125, nw = 1651 z120627.0039.ec.fits: ap = 66, w1 = 4832.853, w2 = 4732.635, dw = -0.06074, nw = 1651 z120627.0039.ec.fits: ap = 67, w1 = 4792.588, w2 = 4693.205, dw = -0.06023, nw = 1651 z120627.0039.ec.fits: ap = 68, w1 = 4752.988, w2 = 4654.428, dw = -0.05973, nw = 1651 z120627.0039.ec.fits: ap = 69, w1 = 4714.038, w2 = 4616.286, dw = -0.05924, nw = 1651 z120627.0039.ec.fits: ap = 70, w1 = 4675.721, w2 = 4578.765, dw = -0.05876, nw = 1651 z120627.0039.ec.fits: ap = 71, w1 = 4638.022, w2 = 4541.849, dw = -0.05829, nw = 1651 z120627.0039.ec.fits: ap = 72, w1 = 4600.926, w2 = 4505.523, dw = -0.05782, nw = 1651 z120627.0039.ec.fits: ap = 73, w1 = 4564.419, w2 = 4469.774, dw = -0.05736, nw = 1651 z120627.0039.ec.fits: ap = 74, w1 = 4528.488, w2 = 4434.589, dw = -0.05691, nw = 1651 z120627.0039.ec.fits: ap = 75, w1 = 4493.118, w2 = 4399.953, dw = -0.05646, nw = 1651 z120627.0039.ec.fits: ap = 76, w1 = 4458.296, w2 = 4365.854, dw = -0.05603, nw = 1651 z120627.0039.ec.fits: ap = 77, w1 = 4424.01, w2 = 4332.28, dw = -0.05559, nw = 1651 z120627.0039.ec.fits: ap = 78, w1 = 4390.248, w2 = 4299.219, dw = -0.05517, nw = 1651 z120627.0039.ec.fits: ap = 79, w1 = 4356.998, w2 = 4266.659, dw = -0.05475, nw = 1651 z120627.0039.ec.fits: ap = 80, w1 = 4324.247, w2 = 4234.588, dw = -0.05434, nw = 1651 z120627.0039.ec.fits: ap = 81, w1 = 4291.986, w2 = 4202.996, dw = -0.05393, nw = 1651 z120627.0039.ec.fits: ap = 82, w1 = 4260.203, w2 = 4171.873, dw = -0.05353, nw = 1651 z120627.0039.ec.fits: ap = 83, w1 = 4228.887, w2 = 4141.207, dw = -0.05314, nw = 1651 z120627.0039.ec.fits: ap = 84, w1 = 4198.028, w2 = 4110.989, dw = -0.05275, nw = 1651 z120627.0039.ec.fits: ap = 85, w1 = 4167.617, w2 = 4081.209, dw = -0.05237, nw = 1651 z120627.0039.ec.fits: ap = 86, w1 = 4137.644, w2 = 4051.858, dw = -0.05199, nw = 1651 z120627.0039.ec.fits: ap = 87, w1 = 4108.099, w2 = 4022.926, dw = -0.05162, nw = 1651 z120627.0039.ec.fits: ap = 88, w1 = 4078.973, w2 = 3994.404, dw = -0.05125, nw = 1651 z120627.0039.ec.fits: ap = 89, w1 = 4050.257, w2 = 3966.285, dw = -0.05089, nw = 1651 z120627.0039.ec.fits: ap = 90, w1 = 4021.943, w2 = 3938.558, dw = -0.05054, nw = 1651 z120627.0039.ec.fits: ap = 91, w1 = 3994.023, w2 = 3911.217, dw = -0.05019, nw = 1651 z120627.0039.ec.fits: ap = 92, w1 = 3966.488, w2 = 3884.254, dw = -0.04984, nw = 1651 z120627.0039.ec.fits: ap = 93, w1 = 3939.33, w2 = 3857.659, dw = -0.0495, nw = 1651 z120627.0039.ec.fits: ap = 94, w1 = 3912.542, w2 = 3831.427, dw = -0.04916, nw = 1651 z120627.0039.ec.fits: ap = 95, w1 = 3886.116, w2 = 3805.549, dw = -0.04883, nw = 1651 z120627.0039.ec.fits: ap = 96, w1 = 3860.045, w2 = 3780.019, dw = -0.0485, nw = 1651 z120627.0039.ec.fits: ap = 97, w1 = 3834.321, w2 = 3754.83, dw = -0.04818, nw = 1651 z120627.0039.ec.fits: ap = 98, w1 = 3808.939, w2 = 3729.974, dw = -0.04786, nw = 1651 z120627.0039.ec.fits: ap = 99, w1 = 3783.891, w2 = 3705.445, dw = -0.04754, nw = 1651 z120627.0039.ec.fits: ap = 100, w1 = 3759.17, w2 = 3681.237, dw = -0.04723, nw = 1651 z120627.0039.ec.fits: ap = 101, w1 = 3734.77, w2 = 3657.343, dw = -0.04693, nw = 1651 z120627.0039.ec.fits: ap = 102, w1 = 3710.686, w2 = 3633.758, dw = -0.04662, nw = 1651 z120627.0039.ec.fits: ap = 103, w1 = 3686.91, w2 = 3610.476, dw = -0.04632, nw = 1651 z120627.0039.ec.fits: ap = 104, w1 = 3663.437, w2 = 3587.49, dw = -0.04603, nw = 1651 z120627.0039.ec.fits: ap = 105, w1 = 3640.262, w2 = 3564.795, dw = -0.04574, nw = 1651 z120627.0039.ec.fits: ap = 106, w1 = 3617.378, w2 = 3542.386, dw = -0.04545, nw = 1651 z120627.0039.ec.fits: ap = 107, w1 = 3594.781, w2 = 3520.257, dw = -0.04517, nw = 1651 120627.0040.ec.fits: REFSPEC1 = '120627.0040.ec 1.' z120627.0040.ec.fits: ap = 1, w1 = 10649.25, w2 = 10428.21, dw = -0.13396, nw = 1651 z120627.0040.ec.fits: ap = 2, w1 = 10455.64, w2 = 10238.62, dw = -0.13153, nw = 1651 z120627.0040.ec.fits: ap = 3, w1 = 10268.95, w2 = 10055.81, dw = -0.12918, nw = 1651 z120627.0040.ec.fits: ap = 4, w1 = 10088.8, w2 = 9879.404, dw = -0.12691, nw = 1651 z120627.0040.ec.fits: ap = 5, w1 = 9914.872, w2 = 9709.085, dw = -0.12472, nw = 1651 z120627.0040.ec.fits: ap = 6, w1 = 9746.836, w2 = 9544.539, dw = -0.1226, nw = 1651 z120627.0040.ec.fits: ap = 7, w1 = 9584.401, w2 = 9385.478, dw = -0.12056, nw = 1651 z120627.0040.ec.fits: ap = 8, w1 = 9427.292, w2 = 9231.632, dw = -0.11858, nw = 1651 z120627.0040.ec.fits: ap = 9, w1 = 9275.251, w2 = 9082.749, dw = -0.11667, nw = 1651 z120627.0040.ec.fits: ap = 10, w1 = 9128.036, w2 = 8938.592, dw = -0.11481, nw = 1651 z120627.0040.ec.fits: ap = 11, w1 = 8985.422, w2 = 8798.94, dw = -0.11302, nw = 1651 z120627.0040.ec.fits: ap = 12, w1 = 8847.196, w2 = 8663.585, dw = -0.11128, nw = 1651 z120627.0040.ec.fits: ap = 13, w1 = 8713.158, w2 = 8532.332, dw = -0.10959, nw = 1651 z120627.0040.ec.fits: ap = 14, w1 = 8583.122, w2 = 8404.997, dw = -0.10795, nw = 1651 z120627.0040.ec.fits: ap = 15, w1 = 8456.91, w2 = 8281.407, dw = -0.10637, nw = 1651 z120627.0040.ec.fits: ap = 16, w1 = 8334.357, w2 = 8161.399, dw = -0.10482, nw = 1651 z120627.0040.ec.fits: ap = 17, w1 = 8215.304, w2 = 8044.82, dw = -0.10332, nw = 1651 z120627.0040.ec.fits: ap = 18, w1 = 8099.606, w2 = 7931.525, dw = -0.10187, nw = 1651 z120627.0040.ec.fits: ap = 19, w1 = 7987.121, w2 = 7821.377, dw = -0.10045, nw = 1651 z120627.0040.ec.fits: ap = 20, w1 = 7877.718, w2 = 7714.247, dw = -0.09907, nw = 1651 z120627.0040.ec.fits: ap = 21, w1 = 7771.272, w2 = 7610.012, dw = -0.09773, nw = 1651 z120627.0040.ec.fits: ap = 22, w1 = 7667.664, w2 = 7508.557, dw = -0.09643, nw = 1651 z120627.0040.ec.fits: ap = 23, w1 = 7566.783, w2 = 7409.771, dw = -0.09516, nw = 1651 z120627.0040.ec.fits: ap = 24, w1 = 7468.522, w2 = 7313.552, dw = -0.09392, nw = 1651 z120627.0040.ec.fits: ap = 25, w1 = 7372.781, w2 = 7219.8, dw = -0.09272, nw = 1651 z120627.0040.ec.fits: ap = 26, w1 = 7279.464, w2 = 7128.421, dw = -0.09154, nw = 1651 z120627.0040.ec.fits: ap = 27, w1 = 7188.479, w2 = 7039.327, dw = -0.0904, nw = 1651 z120627.0040.ec.fits: ap = 28, w1 = 7099.741, w2 = 6952.432, dw = -0.08928, nw = 1651 z120627.0040.ec.fits: ap = 29, w1 = 7013.168, w2 = 6867.657, dw = -0.08819, nw = 1651 z120627.0040.ec.fits: ap = 30, w1 = 6928.68, w2 = 6784.925, dw = -0.08712, nw = 1651 z120627.0040.ec.fits: ap = 31, w1 = 6846.204, w2 = 6704.163, dw = -0.08609, nw = 1651 z120627.0040.ec.fits: ap = 32, w1 = 6765.669, w2 = 6625.3, dw = -0.08507, nw = 1651 z120627.0040.ec.fits: ap = 33, w1 = 6687.007, w2 = 6548.272, dw = -0.08408, nw = 1651 z120627.0040.ec.fits: ap = 34, w1 = 6610.153, w2 = 6473.015, dw = -0.08311, nw = 1651 z120627.0040.ec.fits: ap = 35, w1 = 6535.046, w2 = 6399.468, dw = -0.08217, nw = 1651 z120627.0040.ec.fits: ap = 36, w1 = 6461.626, w2 = 6327.574, dw = -0.08124, nw = 1651 z120627.0040.ec.fits: ap = 37, w1 = 6389.838, w2 = 6257.278, dw = -0.08034, nw = 1651 z120627.0040.ec.fits: ap = 38, w1 = 6319.628, w2 = 6188.527, dw = -0.07946, nw = 1651 z120627.0040.ec.fits: ap = 39, w1 = 6250.945, w2 = 6121.27, dw = -0.07859, nw = 1651 z120627.0040.ec.fits: ap = 40, w1 = 6183.738, w2 = 6055.46, dw = -0.07774, nw = 1651 z120627.0040.ec.fits: ap = 41, w1 = 6117.962, w2 = 5991.05, dw = -0.07692, nw = 1651 z120627.0040.ec.fits: ap = 42, w1 = 6053.57, w2 = 5927.996, dw = -0.07611, nw = 1651 z120627.0040.ec.fits: ap = 43, w1 = 5990.52, w2 = 5866.256, dw = -0.07531, nw = 1651 z120627.0040.ec.fits: ap = 44, w1 = 5928.77, w2 = 5805.789, dw = -0.07453, nw = 1651 z120627.0040.ec.fits: ap = 45, w1 = 5868.28, w2 = 5746.555, dw = -0.07377, nw = 1651 z120627.0040.ec.fits: ap = 46, w1 = 5809.013, w2 = 5688.519, dw = -0.07303, nw = 1651 z120627.0040.ec.fits: ap = 47, w1 = 5750.93, w2 = 5631.643, dw = -0.0723, nw = 1651 z120627.0040.ec.fits: ap = 48, w1 = 5693.998, w2 = 5575.894, dw = -0.07158, nw = 1651 z120627.0040.ec.fits: ap = 49, w1 = 5638.183, w2 = 5521.238, dw = -0.07088, nw = 1651 z120627.0040.ec.fits: ap = 50, w1 = 5583.451, w2 = 5467.643, dw = -0.07019, nw = 1651 z120627.0040.ec.fits: ap = 51, w1 = 5529.772, w2 = 5415.079, dw = -0.06951, nw = 1651 z120627.0040.ec.fits: ap = 52, w1 = 5477.115, w2 = 5363.516, dw = -0.06885, nw = 1651 z120627.0040.ec.fits: ap = 53, w1 = 5425.452, w2 = 5312.926, dw = -0.0682, nw = 1651 z120627.0040.ec.fits: ap = 54, w1 = 5374.755, w2 = 5263.282, dw = -0.06756, nw = 1651 z120627.0040.ec.fits: ap = 55, w1 = 5324.997, w2 = 5214.557, dw = -0.06693, nw = 1651 z120627.0040.ec.fits: ap = 56, w1 = 5276.151, w2 = 5166.726, dw = -0.06632, nw = 1651 z120627.0040.ec.fits: ap = 57, w1 = 5228.194, w2 = 5119.765, dw = -0.06571, nw = 1651 z120627.0040.ec.fits: ap = 58, w1 = 5181.102, w2 = 5073.651, dw = -0.06512, nw = 1651 z120627.0040.ec.fits: ap = 59, w1 = 5134.85, w2 = 5028.36, dw = -0.06454, nw = 1651 z120627.0040.ec.fits: ap = 60, w1 = 5089.417, w2 = 4983.87, dw = -0.06397, nw = 1651 z120627.0040.ec.fits: ap = 61, w1 = 5044.781, w2 = 4940.161, dw = -0.06341, nw = 1651 z120627.0040.ec.fits: ap = 62, w1 = 5000.921, w2 = 4897.212, dw = -0.06285, nw = 1651 z120627.0040.ec.fits: ap = 63, w1 = 4957.818, w2 = 4855.004, dw = -0.06231, nw = 1651 z120627.0040.ec.fits: ap = 64, w1 = 4915.452, w2 = 4813.518, dw = -0.06178, nw = 1651 z120627.0040.ec.fits: ap = 65, w1 = 4873.804, w2 = 4772.734, dw = -0.06125, nw = 1651 z120627.0040.ec.fits: ap = 66, w1 = 4832.856, w2 = 4732.637, dw = -0.06074, nw = 1651 z120627.0040.ec.fits: ap = 67, w1 = 4792.591, w2 = 4693.207, dw = -0.06023, nw = 1651 z120627.0040.ec.fits: ap = 68, w1 = 4752.991, w2 = 4654.429, dw = -0.05973, nw = 1651 z120627.0040.ec.fits: ap = 69, w1 = 4714.04, w2 = 4616.288, dw = -0.05924, nw = 1651 z120627.0040.ec.fits: ap = 70, w1 = 4675.723, w2 = 4578.766, dw = -0.05876, nw = 1651 z120627.0040.ec.fits: ap = 71, w1 = 4638.025, w2 = 4541.85, dw = -0.05829, nw = 1651 z120627.0040.ec.fits: ap = 72, w1 = 4600.929, w2 = 4505.524, dw = -0.05782, nw = 1651 z120627.0040.ec.fits: ap = 73, w1 = 4564.422, w2 = 4469.775, dw = -0.05736, nw = 1651 z120627.0040.ec.fits: ap = 74, w1 = 4528.491, w2 = 4434.59, dw = -0.05691, nw = 1651 z120627.0040.ec.fits: ap = 75, w1 = 4493.121, w2 = 4399.954, dw = -0.05647, nw = 1651 z120627.0040.ec.fits: ap = 76, w1 = 4458.299, w2 = 4365.855, dw = -0.05603, nw = 1651 z120627.0040.ec.fits: ap = 77, w1 = 4424.014, w2 = 4332.281, dw = -0.0556, nw = 1651 z120627.0040.ec.fits: ap = 78, w1 = 4390.252, w2 = 4299.219, dw = -0.05517, nw = 1651 z120627.0040.ec.fits: ap = 79, w1 = 4357.001, w2 = 4266.659, dw = -0.05475, nw = 1651 z120627.0040.ec.fits: ap = 80, w1 = 4324.251, w2 = 4234.588, dw = -0.05434, nw = 1651 z120627.0040.ec.fits: ap = 81, w1 = 4291.99, w2 = 4202.996, dw = -0.05394, nw = 1651 z120627.0040.ec.fits: ap = 82, w1 = 4260.207, w2 = 4171.872, dw = -0.05354, nw = 1651 z120627.0040.ec.fits: ap = 83, w1 = 4228.891, w2 = 4141.206, dw = -0.05314, nw = 1651 z120627.0040.ec.fits: ap = 84, w1 = 4198.033, w2 = 4110.987, dw = -0.05275, nw = 1651 z120627.0040.ec.fits: ap = 85, w1 = 4167.622, w2 = 4081.207, dw = -0.05237, nw = 1651 z120627.0040.ec.fits: ap = 86, w1 = 4137.648, w2 = 4051.855, dw = -0.052, nw = 1651 z120627.0040.ec.fits: ap = 87, w1 = 4108.104, w2 = 4022.923, dw = -0.05162, nw = 1651 z120627.0040.ec.fits: ap = 88, w1 = 4078.978, w2 = 3994.401, dw = -0.05126, nw = 1651 z120627.0040.ec.fits: ap = 89, w1 = 4050.263, w2 = 3966.281, dw = -0.0509, nw = 1651 z120627.0040.ec.fits: ap = 90, w1 = 4021.949, w2 = 3938.555, dw = -0.05054, nw = 1651 z120627.0040.ec.fits: ap = 91, w1 = 3994.029, w2 = 3911.213, dw = -0.05019, nw = 1651 z120627.0040.ec.fits: ap = 92, w1 = 3966.494, w2 = 3884.249, dw = -0.04985, nw = 1651 z120627.0040.ec.fits: ap = 93, w1 = 3939.336, w2 = 3857.654, dw = -0.0495, nw = 1651 z120627.0040.ec.fits: ap = 94, w1 = 3912.549, w2 = 3831.422, dw = -0.04917, nw = 1651 z120627.0040.ec.fits: ap = 95, w1 = 3886.123, w2 = 3805.543, dw = -0.04884, nw = 1651 z120627.0040.ec.fits: ap = 96, w1 = 3860.052, w2 = 3780.013, dw = -0.04851, nw = 1651 z120627.0040.ec.fits: ap = 97, w1 = 3834.329, w2 = 3754.822, dw = -0.04819, nw = 1651 z120627.0040.ec.fits: ap = 98, w1 = 3808.947, w2 = 3729.966, dw = -0.04787, nw = 1651 z120627.0040.ec.fits: ap = 99, w1 = 3783.899, w2 = 3705.437, dw = -0.04755, nw = 1651 z120627.0040.ec.fits: ap = 100, w1 = 3759.178, w2 = 3681.228, dw = -0.04724, nw = 1651 z120627.0040.ec.fits: ap = 101, w1 = 3734.779, w2 = 3657.334, dw = -0.04694, nw = 1651 z120627.0040.ec.fits: ap = 102, w1 = 3710.695, w2 = 3633.748, dw = -0.04663, nw = 1651 z120627.0040.ec.fits: ap = 103, w1 = 3686.919, w2 = 3610.465, dw = -0.04634, nw = 1651 z120627.0040.ec.fits: ap = 104, w1 = 3663.447, w2 = 3587.479, dw = -0.04604, nw = 1651 z120627.0040.ec.fits: ap = 105, w1 = 3640.272, w2 = 3564.783, dw = -0.04575, nw = 1651 z120627.0040.ec.fits: ap = 106, w1 = 3617.389, w2 = 3542.374, dw = -0.04546, nw = 1651 z120627.0040.ec.fits: ap = 107, w1 = 3594.791, w2 = 3520.244, dw = -0.04518, nw = 1651 120627.0041.ec.fits: REFSPEC1 = '120627.0041.ec 1.' z120627.0041.ec.fits: ap = 1, w1 = 10649.25, w2 = 10428.22, dw = -0.13396, nw = 1651 z120627.0041.ec.fits: ap = 2, w1 = 10455.64, w2 = 10238.63, dw = -0.13152, nw = 1651 z120627.0041.ec.fits: ap = 3, w1 = 10268.95, w2 = 10055.81, dw = -0.12917, nw = 1651 z120627.0041.ec.fits: ap = 4, w1 = 10088.8, w2 = 9879.41, dw = -0.12691, nw = 1651 z120627.0041.ec.fits: ap = 5, w1 = 9914.872, w2 = 9709.09, dw = -0.12472, nw = 1651 z120627.0041.ec.fits: ap = 6, w1 = 9746.836, w2 = 9544.544, dw = -0.1226, nw = 1651 z120627.0041.ec.fits: ap = 7, w1 = 9584.401, w2 = 9385.483, dw = -0.12056, nw = 1651 z120627.0041.ec.fits: ap = 8, w1 = 9427.292, w2 = 9231.636, dw = -0.11858, nw = 1651 z120627.0041.ec.fits: ap = 9, w1 = 9275.251, w2 = 9082.753, dw = -0.11667, nw = 1651 z120627.0041.ec.fits: ap = 10, w1 = 9128.037, w2 = 8938.596, dw = -0.11481, nw = 1651 z120627.0041.ec.fits: ap = 11, w1 = 8985.422, w2 = 8798.944, dw = -0.11302, nw = 1651 z120627.0041.ec.fits: ap = 12, w1 = 8847.196, w2 = 8663.588, dw = -0.11128, nw = 1651 z120627.0041.ec.fits: ap = 13, w1 = 8713.159, w2 = 8532.335, dw = -0.10959, nw = 1651 z120627.0041.ec.fits: ap = 14, w1 = 8583.123, w2 = 8404.999, dw = -0.10795, nw = 1651 z120627.0041.ec.fits: ap = 15, w1 = 8456.911, w2 = 8281.409, dw = -0.10636, nw = 1651 z120627.0041.ec.fits: ap = 16, w1 = 8334.357, w2 = 8161.401, dw = -0.10482, nw = 1651 z120627.0041.ec.fits: ap = 17, w1 = 8215.306, w2 = 8044.822, dw = -0.10332, nw = 1651 z120627.0041.ec.fits: ap = 18, w1 = 8099.607, w2 = 7931.526, dw = -0.10187, nw = 1651 z120627.0041.ec.fits: ap = 19, w1 = 7987.123, w2 = 7821.378, dw = -0.10045, nw = 1651 z120627.0041.ec.fits: ap = 20, w1 = 7877.72, w2 = 7714.248, dw = -0.09907, nw = 1651 z120627.0041.ec.fits: ap = 21, w1 = 7771.274, w2 = 7610.013, dw = -0.09773, nw = 1651 z120627.0041.ec.fits: ap = 22, w1 = 7667.666, w2 = 7508.557, dw = -0.09643, nw = 1651 z120627.0041.ec.fits: ap = 23, w1 = 7566.785, w2 = 7409.772, dw = -0.09516, nw = 1651 z120627.0041.ec.fits: ap = 24, w1 = 7468.525, w2 = 7313.552, dw = -0.09392, nw = 1651 z120627.0041.ec.fits: ap = 25, w1 = 7372.784, w2 = 7219.8, dw = -0.09272, nw = 1651 z120627.0041.ec.fits: ap = 26, w1 = 7279.466, w2 = 7128.421, dw = -0.09154, nw = 1651 z120627.0041.ec.fits: ap = 27, w1 = 7188.482, w2 = 7039.326, dw = -0.0904, nw = 1651 z120627.0041.ec.fits: ap = 28, w1 = 7099.744, w2 = 6952.432, dw = -0.08928, nw = 1651 z120627.0041.ec.fits: ap = 29, w1 = 7013.171, w2 = 6867.657, dw = -0.08819, nw = 1651 z120627.0041.ec.fits: ap = 30, w1 = 6928.684, w2 = 6784.925, dw = -0.08713, nw = 1651 z120627.0041.ec.fits: ap = 31, w1 = 6846.208, w2 = 6704.162, dw = -0.08609, nw = 1651 z120627.0041.ec.fits: ap = 32, w1 = 6765.673, w2 = 6625.3, dw = -0.08507, nw = 1651 z120627.0041.ec.fits: ap = 33, w1 = 6687.011, w2 = 6548.272, dw = -0.08408, nw = 1651 z120627.0041.ec.fits: ap = 34, w1 = 6610.157, w2 = 6473.015, dw = -0.08312, nw = 1651 z120627.0041.ec.fits: ap = 35, w1 = 6535.05, w2 = 6399.468, dw = -0.08217, nw = 1651 z120627.0041.ec.fits: ap = 36, w1 = 6461.631, w2 = 6327.574, dw = -0.08125, nw = 1651 z120627.0041.ec.fits: ap = 37, w1 = 6389.844, w2 = 6257.277, dw = -0.08034, nw = 1651 z120627.0041.ec.fits: ap = 38, w1 = 6319.634, w2 = 6188.526, dw = -0.07946, nw = 1651 z120627.0041.ec.fits: ap = 39, w1 = 6250.95, w2 = 6121.269, dw = -0.07859, nw = 1651 z120627.0041.ec.fits: ap = 40, w1 = 6183.744, w2 = 6055.459, dw = -0.07775, nw = 1651 z120627.0041.ec.fits: ap = 41, w1 = 6117.968, w2 = 5991.049, dw = -0.07692, nw = 1651 z120627.0041.ec.fits: ap = 42, w1 = 6053.576, w2 = 5927.995, dw = -0.07611, nw = 1651 z120627.0041.ec.fits: ap = 43, w1 = 5990.526, w2 = 5866.255, dw = -0.07532, nw = 1651 z120627.0041.ec.fits: ap = 44, w1 = 5928.776, w2 = 5805.788, dw = -0.07454, nw = 1651 z120627.0041.ec.fits: ap = 45, w1 = 5868.287, w2 = 5746.555, dw = -0.07378, nw = 1651 z120627.0041.ec.fits: ap = 46, w1 = 5809.019, w2 = 5688.518, dw = -0.07303, nw = 1651 z120627.0041.ec.fits: ap = 47, w1 = 5750.937, w2 = 5631.642, dw = -0.0723, nw = 1651 z120627.0041.ec.fits: ap = 48, w1 = 5694.005, w2 = 5575.893, dw = -0.07158, nw = 1651 z120627.0041.ec.fits: ap = 49, w1 = 5638.19, w2 = 5521.237, dw = -0.07088, nw = 1651 z120627.0041.ec.fits: ap = 50, w1 = 5583.458, w2 = 5467.642, dw = -0.07019, nw = 1651 z120627.0041.ec.fits: ap = 51, w1 = 5529.779, w2 = 5415.078, dw = -0.06952, nw = 1651 z120627.0041.ec.fits: ap = 52, w1 = 5477.122, w2 = 5363.515, dw = -0.06885, nw = 1651 z120627.0041.ec.fits: ap = 53, w1 = 5425.459, w2 = 5312.925, dw = -0.0682, nw = 1651 z120627.0041.ec.fits: ap = 54, w1 = 5374.762, w2 = 5263.281, dw = -0.06756, nw = 1651 z120627.0041.ec.fits: ap = 55, w1 = 5325.004, w2 = 5214.556, dw = -0.06694, nw = 1651 z120627.0041.ec.fits: ap = 56, w1 = 5276.159, w2 = 5166.726, dw = -0.06632, nw = 1651 z120627.0041.ec.fits: ap = 57, w1 = 5228.202, w2 = 5119.765, dw = -0.06572, nw = 1651 z120627.0041.ec.fits: ap = 58, w1 = 5181.109, w2 = 5073.65, dw = -0.06513, nw = 1651 z120627.0041.ec.fits: ap = 59, w1 = 5134.857, w2 = 5028.359, dw = -0.06454, nw = 1651 z120627.0041.ec.fits: ap = 60, w1 = 5089.424, w2 = 4983.869, dw = -0.06397, nw = 1651 z120627.0041.ec.fits: ap = 61, w1 = 5044.788, w2 = 4940.16, dw = -0.06341, nw = 1651 z120627.0041.ec.fits: ap = 62, w1 = 5000.929, w2 = 4897.212, dw = -0.06286, nw = 1651 z120627.0041.ec.fits: ap = 63, w1 = 4957.825, w2 = 4855.004, dw = -0.06232, nw = 1651 z120627.0041.ec.fits: ap = 64, w1 = 4915.459, w2 = 4813.517, dw = -0.06178, nw = 1651 z120627.0041.ec.fits: ap = 65, w1 = 4873.811, w2 = 4772.734, dw = -0.06126, nw = 1651 z120627.0041.ec.fits: ap = 66, w1 = 4832.863, w2 = 4732.636, dw = -0.06074, nw = 1651 z120627.0041.ec.fits: ap = 67, w1 = 4792.597, w2 = 4693.207, dw = -0.06024, nw = 1651 z120627.0041.ec.fits: ap = 68, w1 = 4752.997, w2 = 4654.429, dw = -0.05974, nw = 1651 z120627.0041.ec.fits: ap = 69, w1 = 4714.047, w2 = 4616.287, dw = -0.05925, nw = 1651 z120627.0041.ec.fits: ap = 70, w1 = 4675.73, w2 = 4578.766, dw = -0.05877, nw = 1651 z120627.0041.ec.fits: ap = 71, w1 = 4638.031, w2 = 4541.849, dw = -0.05829, nw = 1651 z120627.0041.ec.fits: ap = 72, w1 = 4600.935, w2 = 4505.524, dw = -0.05782, nw = 1651 z120627.0041.ec.fits: ap = 73, w1 = 4564.428, w2 = 4469.775, dw = -0.05737, nw = 1651 z120627.0041.ec.fits: ap = 74, w1 = 4528.496, w2 = 4434.589, dw = -0.05691, nw = 1651 z120627.0041.ec.fits: ap = 75, w1 = 4493.126, w2 = 4399.953, dw = -0.05647, nw = 1651 z120627.0041.ec.fits: ap = 76, w1 = 4458.304, w2 = 4365.854, dw = -0.05603, nw = 1651 z120627.0041.ec.fits: ap = 77, w1 = 4424.019, w2 = 4332.28, dw = -0.0556, nw = 1651 z120627.0041.ec.fits: ap = 78, w1 = 4390.256, w2 = 4299.219, dw = -0.05517, nw = 1651 z120627.0041.ec.fits: ap = 79, w1 = 4357.006, w2 = 4266.658, dw = -0.05476, nw = 1651 z120627.0041.ec.fits: ap = 80, w1 = 4324.255, w2 = 4234.587, dw = -0.05434, nw = 1651 z120627.0041.ec.fits: ap = 81, w1 = 4291.993, w2 = 4202.995, dw = -0.05394, nw = 1651 z120627.0041.ec.fits: ap = 82, w1 = 4260.21, w2 = 4171.871, dw = -0.05354, nw = 1651 z120627.0041.ec.fits: ap = 83, w1 = 4228.894, w2 = 4141.205, dw = -0.05314, nw = 1651 z120627.0041.ec.fits: ap = 84, w1 = 4198.035, w2 = 4110.987, dw = -0.05276, nw = 1651 z120627.0041.ec.fits: ap = 85, w1 = 4167.624, w2 = 4081.207, dw = -0.05237, nw = 1651 z120627.0041.ec.fits: ap = 86, w1 = 4137.65, w2 = 4051.855, dw = -0.052, nw = 1651 z120627.0041.ec.fits: ap = 87, w1 = 4108.105, w2 = 4022.923, dw = -0.05163, nw = 1651 z120627.0041.ec.fits: ap = 88, w1 = 4078.979, w2 = 3994.401, dw = -0.05126, nw = 1651 z120627.0041.ec.fits: ap = 89, w1 = 4050.263, w2 = 3966.281, dw = -0.0509, nw = 1651 z120627.0041.ec.fits: ap = 90, w1 = 4021.949, w2 = 3938.554, dw = -0.05054, nw = 1651 z120627.0041.ec.fits: ap = 91, w1 = 3994.028, w2 = 3911.213, dw = -0.05019, nw = 1651 z120627.0041.ec.fits: ap = 92, w1 = 3966.493, w2 = 3884.249, dw = -0.04985, nw = 1651 z120627.0041.ec.fits: ap = 93, w1 = 3939.335, w2 = 3857.654, dw = -0.0495, nw = 1651 z120627.0041.ec.fits: ap = 94, w1 = 3912.547, w2 = 3831.421, dw = -0.04917, nw = 1651 z120627.0041.ec.fits: ap = 95, w1 = 3886.12, w2 = 3805.543, dw = -0.04883, nw = 1651 z120627.0041.ec.fits: ap = 96, w1 = 3860.049, w2 = 3780.012, dw = -0.04851, nw = 1651 z120627.0041.ec.fits: ap = 97, w1 = 3834.325, w2 = 3754.822, dw = -0.04818, nw = 1651 z120627.0041.ec.fits: ap = 98, w1 = 3808.942, w2 = 3729.965, dw = -0.04786, nw = 1651 z120627.0041.ec.fits: ap = 99, w1 = 3783.894, w2 = 3705.436, dw = -0.04755, nw = 1651 z120627.0041.ec.fits: ap = 100, w1 = 3759.173, w2 = 3681.227, dw = -0.04724, nw = 1651 z120627.0041.ec.fits: ap = 101, w1 = 3734.773, w2 = 3657.333, dw = -0.04693, nw = 1651 z120627.0041.ec.fits: ap = 102, w1 = 3710.688, w2 = 3633.748, dw = -0.04663, nw = 1651 z120627.0041.ec.fits: ap = 103, w1 = 3686.912, w2 = 3610.464, dw = -0.04633, nw = 1651 z120627.0041.ec.fits: ap = 104, w1 = 3663.439, w2 = 3587.478, dw = -0.04604, nw = 1651 z120627.0041.ec.fits: ap = 105, w1 = 3640.263, w2 = 3564.782, dw = -0.04575, nw = 1651 z120627.0041.ec.fits: ap = 106, w1 = 3617.379, w2 = 3542.372, dw = -0.04546, nw = 1651 z120627.0041.ec.fits: ap = 107, w1 = 3594.781, w2 = 3520.243, dw = -0.04517, nw = 1651 Continuum fitting the spectra... Combining spectra... Dec 10 13:20: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120627.0007.ec.fits[ 1] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 2] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 3] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 4] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 5] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 6] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 7] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 8] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 9] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 10] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 11] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 12] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 13] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 14] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 15] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 16] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 17] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 18] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 19] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 20] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 21] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 22] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 23] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 24] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 25] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 26] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 27] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 28] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 29] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 30] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 31] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 32] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 33] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 34] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 35] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 36] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 37] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 38] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 39] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 40] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 41] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 42] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 43] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 44] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 45] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 46] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 47] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 48] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 49] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 50] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 51] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 52] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 53] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 54] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 55] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 56] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 57] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 58] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 59] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 60] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 61] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 62] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 63] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 64] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 65] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 66] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 67] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 68] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 69] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 70] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 71] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 72] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 73] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 74] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 75] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 76] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 77] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 78] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 79] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 80] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 81] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 82] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 83] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 84] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 85] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 86] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 87] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 88] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 89] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 90] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 91] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 92] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 93] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 94] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 95] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 96] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 97] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 98] 600.0 1.000 0. 0.009 120627.0007.ec.fits[ 99] 600.0 1.000 0. 0.009 120627.0007.ec.fits[100] 600.0 1.000 0. 0.009 120627.0007.ec.fits[101] 600.0 1.000 0. 0.009 120627.0007.ec.fits[102] 600.0 1.000 0. 0.009 120627.0007.ec.fits[103] 600.0 1.000 0. 0.009 120627.0007.ec.fits[104] 600.0 1.000 0. 0.009 120627.0007.ec.fits[105] 600.0 1.000 0. 0.009 120627.0007.ec.fits[106] 600.0 1.000 0. 0.009 120627.0007.ec.fits[107] 600.0 1.000 0. 0.009 Output image = sum120627.0007.ec.fits, ncombine = 107, exptime = 64200. w1 = 3520.28, w2 = 10649.28, dw = 0.04515455, nw = 157881., dtype = 0 Dec 10 13:21: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120627.0008.ec.fits[ 1] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 2] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 3] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 4] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 5] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 6] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 7] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 8] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 9] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 10] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 11] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 12] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 13] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 14] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 15] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 16] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 17] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 18] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 19] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 20] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 21] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 22] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 23] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 24] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 25] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 26] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 27] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 28] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 29] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 30] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 31] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 32] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 33] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 34] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 35] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 36] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 37] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 38] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 39] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 40] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 41] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 42] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 43] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 44] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 45] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 46] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 47] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 48] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 49] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 50] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 51] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 52] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 53] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 54] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 55] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 56] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 57] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 58] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 59] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 60] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 61] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 62] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 63] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 64] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 65] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 66] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 67] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 68] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 69] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 70] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 71] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 72] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 73] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 74] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 75] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 76] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 77] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 78] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 79] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 80] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 81] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 82] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 83] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 84] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 85] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 86] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 87] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 88] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 89] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 90] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 91] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 92] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 93] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 94] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 95] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 96] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 97] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 98] 600.0 1.000 0. 0.009 120627.0008.ec.fits[ 99] 600.0 1.000 0. 0.009 120627.0008.ec.fits[100] 600.0 1.000 0. 0.009 120627.0008.ec.fits[101] 600.0 1.000 0. 0.009 120627.0008.ec.fits[102] 600.0 1.000 0. 0.009 120627.0008.ec.fits[103] 600.0 1.000 0. 0.009 120627.0008.ec.fits[104] 600.0 1.000 0. 0.009 120627.0008.ec.fits[105] 600.0 1.000 0. 0.009 120627.0008.ec.fits[106] 600.0 1.000 0. 0.009 120627.0008.ec.fits[107] 600.0 1.000 0. 0.009 Output image = sum120627.0008.ec.fits, ncombine = 107, exptime = 64200. w1 = 3520.281, w2 = 10649.28, dw = 0.04515252, nw = 157888., dtype = 0 Dec 10 13:22: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120627.0009.ec.fits[ 1] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 2] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 3] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 4] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 5] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 6] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 7] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 8] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 9] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 10] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 11] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 12] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 13] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 14] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 15] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 16] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 17] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 18] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 19] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 20] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 21] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 22] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 23] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 24] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 25] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 26] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 27] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 28] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 29] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 30] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 31] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 32] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 33] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 34] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 35] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 36] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 37] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 38] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 39] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 40] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 41] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 42] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 43] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 44] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 45] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 46] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 47] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 48] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 49] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 50] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 51] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 52] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 53] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 54] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 55] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 56] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 57] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 58] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 59] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 60] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 61] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 62] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 63] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 64] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 65] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 66] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 67] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 68] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 69] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 70] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 71] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 72] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 73] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 74] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 75] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 76] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 77] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 78] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 79] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 80] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 81] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 82] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 83] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 84] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 85] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 86] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 87] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 88] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 89] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 90] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 91] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 92] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 93] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 94] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 95] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 96] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 97] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 98] 600.0 1.000 0. 0.009 120627.0009.ec.fits[ 99] 600.0 1.000 0. 0.009 120627.0009.ec.fits[100] 600.0 1.000 0. 0.009 120627.0009.ec.fits[101] 600.0 1.000 0. 0.009 120627.0009.ec.fits[102] 600.0 1.000 0. 0.009 120627.0009.ec.fits[103] 600.0 1.000 0. 0.009 120627.0009.ec.fits[104] 600.0 1.000 0. 0.009 120627.0009.ec.fits[105] 600.0 1.000 0. 0.009 120627.0009.ec.fits[106] 600.0 1.000 0. 0.009 120627.0009.ec.fits[107] 600.0 1.000 0. 0.009 Output image = sum120627.0009.ec.fits, ncombine = 107, exptime = 64200. w1 = 3520.283, w2 = 10649.28, dw = 0.0451505, nw = 157895., dtype = 0 Dec 10 13:23: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120627.0010.ec.fits[ 1] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 2] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 3] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 4] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 5] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 6] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 7] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 8] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 9] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 10] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 11] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 12] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 13] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 14] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 15] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 16] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 17] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 18] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 19] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 20] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 21] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 22] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 23] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 24] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 25] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 26] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 27] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 28] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 29] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 30] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 31] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 32] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 33] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 34] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 35] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 36] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 37] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 38] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 39] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 40] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 41] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 42] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 43] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 44] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 45] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 46] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 47] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 48] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 49] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 50] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 51] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 52] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 53] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 54] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 55] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 56] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 57] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 58] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 59] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 60] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 61] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 62] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 63] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 64] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 65] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 66] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 67] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 68] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 69] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 70] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 71] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 72] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 73] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 74] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 75] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 76] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 77] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 78] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 79] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 80] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 81] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 82] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 83] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 84] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 85] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 86] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 87] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 88] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 89] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 90] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 91] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 92] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 93] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 94] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 95] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 96] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 97] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 98] 720.0 1.000 0. 0.009 120627.0010.ec.fits[ 99] 720.0 1.000 0. 0.009 120627.0010.ec.fits[100] 720.0 1.000 0. 0.009 120627.0010.ec.fits[101] 720.0 1.000 0. 0.009 120627.0010.ec.fits[102] 720.0 1.000 0. 0.009 120627.0010.ec.fits[103] 720.0 1.000 0. 0.009 120627.0010.ec.fits[104] 720.0 1.000 0. 0.009 120627.0010.ec.fits[105] 720.0 1.000 0. 0.009 120627.0010.ec.fits[106] 720.0 1.000 0. 0.009 120627.0010.ec.fits[107] 720.0 1.000 0. 0.009 Output image = sum120627.0010.ec.fits, ncombine = 107, exptime = 77039.98 w1 = 3520.285, w2 = 10649.27, dw = 0.04514847, nw = 157902., dtype = 0 Dec 10 13:24: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120627.0011.ec.fits[ 1] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 2] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 3] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 4] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 5] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 6] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 7] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 8] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 9] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 10] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 11] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 12] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 13] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 14] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 15] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 16] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 17] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 18] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 19] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 20] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 21] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 22] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 23] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 24] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 25] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 26] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 27] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 28] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 29] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 30] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 31] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 32] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 33] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 34] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 35] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 36] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 37] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 38] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 39] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 40] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 41] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 42] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 43] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 44] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 45] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 46] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 47] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 48] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 49] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 50] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 51] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 52] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 53] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 54] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 55] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 56] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 57] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 58] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 59] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 60] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 61] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 62] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 63] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 64] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 65] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 66] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 67] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 68] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 69] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 70] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 71] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 72] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 73] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 74] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 75] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 76] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 77] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 78] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 79] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 80] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 81] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 82] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 83] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 84] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 85] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 86] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 87] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 88] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 89] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 90] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 91] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 92] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 93] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 94] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 95] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 96] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 97] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 98] 720.0 1.000 0. 0.009 120627.0011.ec.fits[ 99] 720.0 1.000 0. 0.009 120627.0011.ec.fits[100] 720.0 1.000 0. 0.009 120627.0011.ec.fits[101] 720.0 1.000 0. 0.009 120627.0011.ec.fits[102] 720.0 1.000 0. 0.009 120627.0011.ec.fits[103] 720.0 1.000 0. 0.009 120627.0011.ec.fits[104] 720.0 1.000 0. 0.009 120627.0011.ec.fits[105] 720.0 1.000 0. 0.009 120627.0011.ec.fits[106] 720.0 1.000 0. 0.009 120627.0011.ec.fits[107] 720.0 1.000 0. 0.009 Output image = sum120627.0011.ec.fits, ncombine = 107, exptime = 77040.01 w1 = 3520.287, w2 = 10649.27, dw = 0.04514645, nw = 157909., dtype = 0 Dec 10 13:25: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120627.0012.ec.fits[ 1] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 2] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 3] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 4] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 5] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 6] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 7] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 8] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 9] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 10] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 11] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 12] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 13] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 14] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 15] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 16] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 17] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 18] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 19] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 20] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 21] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 22] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 23] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 24] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 25] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 26] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 27] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 28] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 29] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 30] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 31] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 32] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 33] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 34] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 35] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 36] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 37] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 38] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 39] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 40] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 41] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 42] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 43] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 44] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 45] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 46] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 47] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 48] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 49] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 50] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 51] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 52] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 53] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 54] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 55] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 56] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 57] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 58] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 59] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 60] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 61] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 62] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 63] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 64] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 65] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 66] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 67] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 68] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 69] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 70] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 71] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 72] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 73] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 74] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 75] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 76] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 77] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 78] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 79] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 80] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 81] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 82] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 83] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 84] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 85] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 86] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 87] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 88] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 89] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 90] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 91] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 92] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 93] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 94] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 95] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 96] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 97] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 98] 900.0 1.000 0. 0.009 120627.0012.ec.fits[ 99] 900.0 1.000 0. 0.009 120627.0012.ec.fits[100] 900.0 1.000 0. 0.009 120627.0012.ec.fits[101] 900.0 1.000 0. 0.009 120627.0012.ec.fits[102] 900.0 1.000 0. 0.009 120627.0012.ec.fits[103] 900.0 1.000 0. 0.009 120627.0012.ec.fits[104] 900.0 1.000 0. 0.009 120627.0012.ec.fits[105] 900.0 1.000 0. 0.009 120627.0012.ec.fits[106] 900.0 1.000 0. 0.009 120627.0012.ec.fits[107] 900.0 1.000 0. 0.009 Output image = sum120627.0012.ec.fits, ncombine = 107, exptime = 96300.01 w1 = 3520.289, w2 = 10649.27, dw = 0.04514384, nw = 157918., dtype = 0 Dec 10 13:26: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120627.0013.ec.fits[ 1] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 2] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 3] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 4] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 5] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 6] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 7] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 8] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 9] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 10] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 11] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 12] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 13] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 14] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 15] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 16] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 17] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 18] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 19] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 20] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 21] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 22] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 23] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 24] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 25] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 26] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 27] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 28] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 29] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 30] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 31] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 32] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 33] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 34] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 35] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 36] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 37] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 38] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 39] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 40] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 41] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 42] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 43] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 44] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 45] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 46] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 47] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 48] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 49] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 50] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 51] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 52] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 53] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 54] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 55] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 56] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 57] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 58] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 59] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 60] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 61] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 62] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 63] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 64] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 65] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 66] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 67] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 68] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 69] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 70] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 71] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 72] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 73] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 74] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 75] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 76] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 77] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 78] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 79] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 80] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 81] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 82] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 83] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 84] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 85] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 86] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 87] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 88] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 89] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 90] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 91] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 92] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 93] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 94] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 95] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 96] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 97] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 98] 900.0 1.000 0. 0.009 120627.0013.ec.fits[ 99] 900.0 1.000 0. 0.009 120627.0013.ec.fits[100] 900.0 1.000 0. 0.009 120627.0013.ec.fits[101] 900.0 1.000 0. 0.009 120627.0013.ec.fits[102] 900.0 1.000 0. 0.009 120627.0013.ec.fits[103] 900.0 1.000 0. 0.009 120627.0013.ec.fits[104] 900.0 1.000 0. 0.009 120627.0013.ec.fits[105] 900.0 1.000 0. 0.009 120627.0013.ec.fits[106] 900.0 1.000 0. 0.009 120627.0013.ec.fits[107] 900.0 1.000 0. 0.009 Output image = sum120627.0013.ec.fits, ncombine = 107, exptime = 96300.01 w1 = 3520.291, w2 = 10649.27, dw = 0.04514123, nw = 157927., dtype = 0 Dec 10 13:26: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120627.0014.ec.fits[ 1] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 2] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 3] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 4] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 5] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 6] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 7] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 8] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 9] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 10] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 11] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 12] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 13] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 14] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 15] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 16] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 17] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 18] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 19] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 20] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 21] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 22] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 23] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 24] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 25] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 26] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 27] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 28] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 29] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 30] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 31] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 32] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 33] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 34] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 35] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 36] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 37] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 38] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 39] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 40] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 41] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 42] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 43] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 44] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 45] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 46] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 47] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 48] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 49] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 50] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 51] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 52] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 53] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 54] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 55] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 56] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 57] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 58] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 59] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 60] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 61] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 62] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 63] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 64] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 65] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 66] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 67] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 68] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 69] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 70] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 71] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 72] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 73] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 74] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 75] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 76] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 77] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 78] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 79] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 80] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 81] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 82] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 83] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 84] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 85] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 86] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 87] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 88] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 89] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 90] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 91] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 92] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 93] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 94] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 95] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 96] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 97] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 98] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[ 99] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[100] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[101] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[102] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[103] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[104] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[105] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[106] 1200.0 1.000 0. 0.009 120627.0014.ec.fits[107] 1200.0 1.000 0. 0.009 Output image = sum120627.0014.ec.fits, ncombine = 107, exptime = 128400. w1 = 3520.293, w2 = 10649.26, dw = 0.04513834, nw = 157937., dtype = 0 Dec 10 13:27: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120627.0015.ec.fits[ 1] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 2] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 3] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 4] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 5] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 6] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 7] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 8] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 9] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 10] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 11] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 12] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 13] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 14] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 15] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 16] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 17] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 18] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 19] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 20] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 21] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 22] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 23] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 24] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 25] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 26] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 27] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 28] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 29] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 30] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 31] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 32] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 33] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 34] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 35] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 36] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 37] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 38] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 39] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 40] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 41] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 42] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 43] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 44] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 45] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 46] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 47] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 48] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 49] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 50] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 51] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 52] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 53] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 54] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 55] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 56] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 57] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 58] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 59] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 60] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 61] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 62] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 63] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 64] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 65] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 66] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 67] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 68] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 69] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 70] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 71] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 72] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 73] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 74] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 75] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 76] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 77] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 78] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 79] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 80] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 81] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 82] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 83] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 84] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 85] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 86] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 87] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 88] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 89] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 90] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 91] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 92] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 93] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 94] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 95] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 96] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 97] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 98] 600.0 1.000 0. 0.009 120627.0015.ec.fits[ 99] 600.0 1.000 0. 0.009 120627.0015.ec.fits[100] 600.0 1.000 0. 0.009 120627.0015.ec.fits[101] 600.0 1.000 0. 0.009 120627.0015.ec.fits[102] 600.0 1.000 0. 0.009 120627.0015.ec.fits[103] 600.0 1.000 0. 0.009 120627.0015.ec.fits[104] 600.0 1.000 0. 0.009 120627.0015.ec.fits[105] 600.0 1.000 0. 0.009 120627.0015.ec.fits[106] 600.0 1.000 0. 0.009 120627.0015.ec.fits[107] 600.0 1.000 0. 0.009 Output image = sum120627.0015.ec.fits, ncombine = 107, exptime = 64200. w1 = 3520.296, w2 = 10649.26, dw = 0.04513545, nw = 157947., dtype = 0 Dec 10 13:28: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120627.0016.ec.fits[ 1] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 2] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 3] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 4] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 5] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 6] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 7] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 8] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 9] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 10] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 11] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 12] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 13] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 14] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 15] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 16] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 17] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 18] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 19] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 20] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 21] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 22] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 23] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 24] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 25] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 26] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 27] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 28] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 29] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 30] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 31] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 32] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 33] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 34] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 35] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 36] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 37] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 38] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 39] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 40] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 41] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 42] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 43] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 44] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 45] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 46] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 47] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 48] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 49] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 50] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 51] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 52] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 53] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 54] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 55] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 56] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 57] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 58] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 59] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 60] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 61] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 62] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 63] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 64] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 65] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 66] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 67] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 68] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 69] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 70] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 71] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 72] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 73] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 74] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 75] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 76] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 77] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 78] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 79] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 80] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 81] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 82] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 83] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 84] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 85] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 86] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 87] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 88] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 89] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 90] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 91] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 92] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 93] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 94] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 95] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 96] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 97] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 98] 600.0 1.000 0. 0.009 120627.0016.ec.fits[ 99] 600.0 1.000 0. 0.009 120627.0016.ec.fits[100] 600.0 1.000 0. 0.009 120627.0016.ec.fits[101] 600.0 1.000 0. 0.009 120627.0016.ec.fits[102] 600.0 1.000 0. 0.009 120627.0016.ec.fits[103] 600.0 1.000 0. 0.009 120627.0016.ec.fits[104] 600.0 1.000 0. 0.009 120627.0016.ec.fits[105] 600.0 1.000 0. 0.009 120627.0016.ec.fits[106] 600.0 1.000 0. 0.009 120627.0016.ec.fits[107] 600.0 1.000 0. 0.009 Output image = sum120627.0016.ec.fits, ncombine = 107, exptime = 64200. w1 = 3520.297, w2 = 10649.26, dw = 0.04513371, nw = 157953., dtype = 0 Dec 10 13:29: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120627.0017.ec.fits[ 1] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 2] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 3] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 4] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 5] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 6] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 7] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 8] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 9] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 10] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 11] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 12] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 13] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 14] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 15] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 16] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 17] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 18] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 19] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 20] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 21] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 22] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 23] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 24] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 25] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 26] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 27] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 28] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 29] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 30] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 31] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 32] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 33] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 34] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 35] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 36] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 37] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 38] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 39] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 40] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 41] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 42] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 43] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 44] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 45] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 46] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 47] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 48] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 49] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 50] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 51] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 52] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 53] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 54] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 55] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 56] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 57] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 58] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 59] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 60] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 61] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 62] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 63] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 64] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 65] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 66] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 67] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 68] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 69] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 70] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 71] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 72] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 73] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 74] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 75] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 76] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 77] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 78] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 79] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 80] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 81] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 82] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 83] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 84] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 85] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 86] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 87] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 88] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 89] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 90] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 91] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 92] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 93] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 94] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 95] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 96] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 97] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 98] 720.0 1.000 0. 0.009 120627.0017.ec.fits[ 99] 720.0 1.000 0. 0.009 120627.0017.ec.fits[100] 720.0 1.000 0. 0.009 120627.0017.ec.fits[101] 720.0 1.000 0. 0.009 120627.0017.ec.fits[102] 720.0 1.000 0. 0.009 120627.0017.ec.fits[103] 720.0 1.000 0. 0.009 120627.0017.ec.fits[104] 720.0 1.000 0. 0.009 120627.0017.ec.fits[105] 720.0 1.000 0. 0.009 120627.0017.ec.fits[106] 720.0 1.000 0. 0.009 120627.0017.ec.fits[107] 720.0 1.000 0. 0.009 Output image = sum120627.0017.ec.fits, ncombine = 107, exptime = 77039.99 w1 = 3520.299, w2 = 10649.25, dw = 0.04513169, nw = 157960., dtype = 0 Dec 10 13:29: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120627.0018.ec.fits[ 1] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 2] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 3] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 4] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 5] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 6] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 7] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 8] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 9] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 10] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 11] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 12] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 13] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 14] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 15] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 16] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 17] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 18] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 19] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 20] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 21] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 22] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 23] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 24] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 25] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 26] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 27] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 28] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 29] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 30] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 31] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 32] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 33] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 34] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 35] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 36] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 37] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 38] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 39] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 40] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 41] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 42] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 43] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 44] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 45] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 46] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 47] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 48] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 49] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 50] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 51] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 52] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 53] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 54] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 55] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 56] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 57] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 58] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 59] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 60] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 61] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 62] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 63] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 64] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 65] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 66] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 67] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 68] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 69] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 70] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 71] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 72] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 73] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 74] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 75] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 76] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 77] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 78] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 79] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 80] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 81] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 82] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 83] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 84] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 85] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 86] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 87] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 88] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 89] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 90] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 91] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 92] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 93] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 94] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 95] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 96] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 97] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 98] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[ 99] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[100] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[101] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[102] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[103] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[104] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[105] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[106] 1500.0 1.000 0. 0.009 120627.0018.ec.fits[107] 1500.0 1.000 0. 0.009 Output image = sum120627.0018.ec.fits, ncombine = 107, exptime = 160500. w1 = 3520.302, w2 = 10649.25, dw = 0.04512851, nw = 157971., dtype = 0 Dec 10 13:30: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120627.0007.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[100] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[101] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[102] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[103] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[104] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[105] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[106] 600.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[107] 600.0 1.000 0. 0.009 Output image = sumfitcont120627.0007.ec.fits, ncombine = 107, exptime = 64200. w1 = 3520.28, w2 = 10649.28, dw = 0.04515455, nw = 157881., dtype = 0 Dec 10 13:31: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120627.0008.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[100] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[101] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[102] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[103] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[104] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[105] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[106] 600.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[107] 600.0 1.000 0. 0.009 Output image = sumfitcont120627.0008.ec.fits, ncombine = 107, exptime = 64200. w1 = 3520.281, w2 = 10649.28, dw = 0.04515252, nw = 157888., dtype = 0 Dec 10 13:32: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120627.0009.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[100] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[101] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[102] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[103] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[104] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[105] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[106] 600.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[107] 600.0 1.000 0. 0.009 Output image = sumfitcont120627.0009.ec.fits, ncombine = 107, exptime = 64200. w1 = 3520.283, w2 = 10649.28, dw = 0.0451505, nw = 157895., dtype = 0 Dec 10 13:33: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120627.0010.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[100] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[101] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[102] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[103] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[104] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[105] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[106] 720.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[107] 720.0 1.000 0. 0.009 Output image = sumfitcont120627.0010.ec.fits, ncombine = 107, exptime = 77039.98 w1 = 3520.285, w2 = 10649.27, dw = 0.04514847, nw = 157902., dtype = 0 Dec 10 13:33: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120627.0011.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[100] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[101] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[102] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[103] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[104] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[105] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[106] 720.0 1.000 0. 0.009 fitcont120627.0011.ec.fits[107] 720.0 1.000 0. 0.009 Output image = sumfitcont120627.0011.ec.fits, ncombine = 107, exptime = 77040.01 w1 = 3520.287, w2 = 10649.27, dw = 0.04514645, nw = 157909., dtype = 0 Dec 10 13:34: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120627.0012.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[100] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[101] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[102] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[103] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[104] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[105] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[106] 900.0 1.000 0. 0.009 fitcont120627.0012.ec.fits[107] 900.0 1.000 0. 0.009 Output image = sumfitcont120627.0012.ec.fits, ncombine = 107, exptime = 96300.01 w1 = 3520.289, w2 = 10649.27, dw = 0.04514384, nw = 157918., dtype = 0 Dec 10 13:35: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120627.0013.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[100] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[101] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[102] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[103] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[104] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[105] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[106] 900.0 1.000 0. 0.009 fitcont120627.0013.ec.fits[107] 900.0 1.000 0. 0.009 Output image = sumfitcont120627.0013.ec.fits, ncombine = 107, exptime = 96300.01 w1 = 3520.291, w2 = 10649.27, dw = 0.04514123, nw = 157927., dtype = 0 Dec 10 13:35: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120627.0014.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont120627.0014.ec.fits[107] 1200.0 1.000 0. 0.009 Output image = sumfitcont120627.0014.ec.fits, ncombine = 107, exptime = 128400. w1 = 3520.293, w2 = 10649.26, dw = 0.04513834, nw = 157937., dtype = 0 Dec 10 13:36: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120627.0015.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[100] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[101] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[102] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[103] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[104] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[105] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[106] 600.0 1.000 0. 0.009 fitcont120627.0015.ec.fits[107] 600.0 1.000 0. 0.009 Output image = sumfitcont120627.0015.ec.fits, ncombine = 107, exptime = 64200. w1 = 3520.296, w2 = 10649.26, dw = 0.04513545, nw = 157947., dtype = 0 Dec 10 13:36: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120627.0016.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[100] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[101] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[102] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[103] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[104] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[105] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[106] 600.0 1.000 0. 0.009 fitcont120627.0016.ec.fits[107] 600.0 1.000 0. 0.009 Output image = sumfitcont120627.0016.ec.fits, ncombine = 107, exptime = 64200. w1 = 3520.297, w2 = 10649.26, dw = 0.04513371, nw = 157953., dtype = 0 Dec 10 13:37: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120627.0017.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[100] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[101] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[102] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[103] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[104] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[105] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[106] 720.0 1.000 0. 0.009 fitcont120627.0017.ec.fits[107] 720.0 1.000 0. 0.009 Output image = sumfitcont120627.0017.ec.fits, ncombine = 107, exptime = 77039.99 w1 = 3520.299, w2 = 10649.25, dw = 0.04513169, nw = 157960., dtype = 0 Dec 10 13:37: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120627.0018.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont120627.0018.ec.fits[107] 1500.0 1.000 0. 0.009 Output image = sumfitcont120627.0018.ec.fits, ncombine = 107, exptime = 160500. w1 = 3520.302, w2 = 10649.25, dw = 0.04512851, nw = 157971., dtype = 0 64200. fullspec120627.0007.ec.fits,EXPTIME: 64200. -> 600.0 fullspec120627.0007.ec.fits updated 64200. fullspec120627.0008.ec.fits,EXPTIME: 64200. -> 600.0 fullspec120627.0008.ec.fits updated 64200. fullspec120627.0009.ec.fits,EXPTIME: 64200. -> 600.0 fullspec120627.0009.ec.fits updated 77039.98 fullspec120627.0010.ec.fits,EXPTIME: 77039.98 -> 719.999813084 fullspec120627.0010.ec.fits updated 77040.01 fullspec120627.0011.ec.fits,EXPTIME: 77040.01 -> 720.000093458 fullspec120627.0011.ec.fits updated 96300.01 fullspec120627.0012.ec.fits,EXPTIME: 96300.01 -> 900.000093458 fullspec120627.0012.ec.fits updated 96300.01 fullspec120627.0013.ec.fits,EXPTIME: 96300.01 -> 900.000093458 fullspec120627.0013.ec.fits updated 128400. fullspec120627.0014.ec.fits,EXPTIME: 128400. -> 1200.0 fullspec120627.0014.ec.fits updated 64200. fullspec120627.0015.ec.fits,EXPTIME: 64200. -> 600.0 fullspec120627.0015.ec.fits updated 64200. fullspec120627.0016.ec.fits,EXPTIME: 64200. -> 600.0 fullspec120627.0016.ec.fits updated 77039.99 fullspec120627.0017.ec.fits,EXPTIME: 77039.99 -> 719.999906542 fullspec120627.0017.ec.fits updated 160500. fullspec120627.0018.ec.fits,EXPTIME: 160500. -> 1500.0 fullspec120627.0018.ec.fits updated ALL DONE! Yay! (=^.^=)