Copying data files and other necessary files Changing to reduced data directory Generating file lists... Setting dispaxis... add 120612.0001.fits,dispaxis = 1 120612.0001.fits updated add 120612.0002.fits,dispaxis = 1 120612.0002.fits updated add 120612.0003.fits,dispaxis = 1 120612.0003.fits updated add 120612.0004.fits,dispaxis = 1 120612.0004.fits updated add 120612.0005.fits,dispaxis = 1 120612.0005.fits updated add 120612.0006.fits,dispaxis = 1 120612.0006.fits updated add 120612.0007.fits,dispaxis = 1 120612.0007.fits updated add 120612.0008.fits,dispaxis = 1 120612.0008.fits updated add 120612.0009.fits,dispaxis = 1 120612.0009.fits updated add 120612.0010.fits,dispaxis = 1 120612.0010.fits updated add 120612.0011.fits,dispaxis = 1 120612.0011.fits updated add 120612.0012.fits,dispaxis = 1 120612.0012.fits updated add 120612.0013.fits,dispaxis = 1 120612.0013.fits updated add 120612.0014.fits,dispaxis = 1 120612.0014.fits updated add 120612.0015.fits,dispaxis = 1 120612.0015.fits updated add 120612.0016.fits,dispaxis = 1 120612.0016.fits updated add 120612.0017.fits,dispaxis = 1 120612.0017.fits updated add 120612.0018.fits,dispaxis = 1 120612.0018.fits updated add 120612.0019.fits,dispaxis = 1 120612.0019.fits updated add 120612.0020.fits,dispaxis = 1 120612.0020.fits updated add 120612.0021.fits,dispaxis = 1 120612.0021.fits updated add 120612.0022.fits,dispaxis = 1 120612.0022.fits updated add 120612.0023.fits,dispaxis = 1 120612.0023.fits updated add 120612.0024.fits,dispaxis = 1 120612.0024.fits updated add 120612.0025.fits,dispaxis = 1 120612.0025.fits updated add 120612.0026.fits,dispaxis = 1 120612.0026.fits updated add 120612.0027.fits,dispaxis = 1 120612.0027.fits updated add 120612.0028.fits,dispaxis = 1 120612.0028.fits updated add 120612.0029.fits,dispaxis = 1 120612.0029.fits updated add 120612.0030.fits,dispaxis = 1 120612.0030.fits updated add 120612.0031.fits,dispaxis = 1 120612.0031.fits updated FIXPIX: image 120612.0005.fits with mask echmask.pl FIXPIX: image 120612.0006.fits with mask echmask.pl FIXPIX: image 120612.0007.fits with mask echmask.pl FIXPIX: image 120612.0008.fits with mask echmask.pl FIXPIX: image 120612.0009.fits with mask echmask.pl FIXPIX: image 120612.0010.fits with mask echmask.pl FIXPIX: image 120612.0021.fits with mask echmask.pl FIXPIX: image 120612.0022.fits with mask echmask.pl FIXPIX: image 120612.0023.fits with mask echmask.pl FIXPIX: image 120612.0024.fits with mask echmask.pl FIXPIX: image 120612.0025.fits with mask echmask.pl FIXPIX: image 120612.0026.fits with mask echmask.pl FIXPIX: image 120612.0027.fits with mask echmask.pl FIXPIX: image 120612.0028.fits with mask echmask.pl FIXPIX: image 120612.0029.fits with mask echmask.pl FIXPIX: image 120612.0030.fits with mask echmask.pl FIXPIX: image 120612.0031.fits with mask echmask.pl FIXPIX: image 120612.0001.fits with mask echmask.pl FIXPIX: image 120612.0002.fits with mask echmask.pl FIXPIX: image 120612.0003.fits with mask echmask.pl FIXPIX: image 120612.0004.fits with mask echmask.pl Dec 10 14:43: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Exp 120612.0011.fits 0.0 120612.0012.fits 0.0 120612.0013.fits 0.0 120612.0014.fits 0.0 120612.0015.fits 0.0 120612.0016.fits 0.0 120612.0017.fits 0.0 120612.0018.fits 0.0 120612.0019.fits 0.0 120612.0020.fits 0.0 Output image = bias_fid, ncombine = 10 Calibrating object images and flats (bias, and trimming)... 120612.0021.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] bias_fid: Dec 10 14:43 Trim data section is [200:1850,1:2048] 120612.0021.fits: Dec 10 14:43 Zero level correction image is bias_fid 120612.0022.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] 120612.0022.fits: Dec 10 14:43 Zero level correction image is bias_fid 120612.0023.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] 120612.0023.fits: Dec 10 14:43 Zero level correction image is bias_fid 120612.0024.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] 120612.0024.fits: Dec 10 14:43 Zero level correction image is bias_fid 120612.0025.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] 120612.0025.fits: Dec 10 14:43 Zero level correction image is bias_fid 120612.0026.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] 120612.0026.fits: Dec 10 14:43 Zero level correction image is bias_fid 120612.0027.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] 120612.0027.fits: Dec 10 14:43 Zero level correction image is bias_fid 120612.0028.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] 120612.0028.fits: Dec 10 14:43 Zero level correction image is bias_fid 120612.0029.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] 120612.0029.fits: Dec 10 14:43 Zero level correction image is bias_fid 120612.0030.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] 120612.0030.fits: Dec 10 14:43 Zero level correction image is bias_fid 120612.0031.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] 120612.0031.fits: Dec 10 14:43 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... 120612.0005.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] 120612.0005.fits: Dec 10 14:43 Zero level correction image is bias_fid 120612.0006.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] 120612.0006.fits: Dec 10 14:43 Zero level correction image is bias_fid 120612.0007.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] 120612.0007.fits: Dec 10 14:43 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... 120612.0008.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] 120612.0008.fits: Dec 10 14:43 Zero level correction image is bias_fid 120612.0009.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] 120612.0009.fits: Dec 10 14:43 Zero level correction image is bias_fid 120612.0010.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] 120612.0010.fits: Dec 10 14:43 Zero level correction image is bias_fid Calibrating ThAr arcs... 120612.0001.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] 120612.0001.fits: Dec 10 14:43 Zero level correction image is bias_fid 120612.0002.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] 120612.0002.fits: Dec 10 14:43 Zero level correction image is bias_fid 120612.0003.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] 120612.0003.fits: Dec 10 14:43 Zero level correction image is bias_fid 120612.0004.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] 120612.0004.fits: Dec 10 14:43 Zero level correction image is bias_fid Combining red and blue flats into separate fiducial flats... Dec 10 14:44: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp 120612.0008.fits 200.0 120612.0009.fits 200.0 120612.0010.fits 200.0 Output image = flat_blue_mean.fits, ncombine = 3 Dec 10 14:44: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp 120612.0005.fits 7.0 120612.0006.fits 7.0 120612.0007.fits 7.0 Output image = flat_red_mean.fits, ncombine = 3 Combining average red and blue flats into a superflat... IMARITH: Operation = * Operand1 = flat_red_mean.fits Operand2 = filter_redflat.fit Result = flat_red_mean_filt.fits Result pixel type = double Calculation type = double IMARITH: Operation = + Operand1 = flat_blue_mean.fits Operand2 = flat_red_mean_filt.fits Result = junk Result pixel type = double Calculation type = double IMARITH: Operation = / Operand1 = junk Operand2 = 2.0 Result = flat_fid Result pixel type = double Calculation type = double Replacement value for division by zero = 0. Resample the superflat in the y direction... flat_fid_mag.fits Magnify image flat_fid.fits to image flat_fid_mag.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 flat_fid_mag.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] flat_fid_mag.fits updated Modeling and extracting the superflat... Dec 10 14:45: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1635. Dec 10 14:45: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 1636. Dec 10 14:45: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1602. Dec 10 14:45: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1603. Dec 10 14:45: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1604. Dec 10 14:45: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1605. Dec 10 14:45: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1606. Dec 10 14:45: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1648. Dec 10 14:45: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1649. Dec 10 14:45: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1570. Dec 10 14:45: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1571. Dec 10 14:45: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1587. Dec 10 14:45: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1588. Dec 10 14:45: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1606. Dec 10 14:45: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1607. Dec 10 14:45: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1608. Dec 10 14:45: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 132. Dec 10 14:45: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 131. Dec 10 14:45: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 104. Dec 10 14:45: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 103. Dec 10 14:45: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 102. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1561. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1562. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1567. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1568. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1610. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1611. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1613. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1614. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1617. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1618. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1628. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1629. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1630. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 91. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 90. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 32. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 31. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1550. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1551. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1552. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1558. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1559. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1560. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1602. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1603. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1604. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 131. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 130. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 129. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 111. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 110. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 68. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 67. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 32. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 31. Normalizing the superflat... flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits IMARITH: Operation = + Operand1 = nonorm_flat_fid_mag.ec.fits Operand2 = 9.911 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... 120612.0001.fits Magnify image 120612.0001.fits to image 120612.0001.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 120612.0001.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120612.0001.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... 120612.0002.fits Magnify image 120612.0002.fits to image 120612.0002.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 120612.0002.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120612.0002.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... 120612.0003.fits Magnify image 120612.0003.fits to image 120612.0003.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 120612.0003.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120612.0003.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... 120612.0004.fits Magnify image 120612.0004.fits to image 120612.0004.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 120612.0004.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120612.0004.fits updated Applying model apertures to the arc and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120612.0021 Magnify image 120612.0021 to image 120612.0021. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120612.0021,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120612.0021 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120612.0021 -> noscat120612.0021 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120612.0022 Magnify image 120612.0022 to image 120612.0022. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120612.0022,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120612.0022 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120612.0022 -> noscat120612.0022 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120612.0023 Magnify image 120612.0023 to image 120612.0023. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120612.0023,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120612.0023 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120612.0023 -> noscat120612.0023 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 14:50: EXTRACT: WARNING - Aperture 106: Dec 10 14:50: Total variance weighted spectrum flux is 7090.169 Dec 10 14:50: Total unweighted spectrum flux is 2228.621 Dec 10 14:50: EXTRACT: Aperture 106 variance spectrum bias factor is 0.3143255 Resampling the object by a factor of 4 in the y direction... 120612.0024 Magnify image 120612.0024 to image 120612.0024. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120612.0024,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120612.0024 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120612.0024 -> noscat120612.0024 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120612.0025 Magnify image 120612.0025 to image 120612.0025. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120612.0025,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120612.0025 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120612.0025 -> noscat120612.0025 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 14:53: EXTRACT: WARNING - Aperture 105: Dec 10 14:53: Total variance weighted spectrum flux is 12982.35 Dec 10 14:53: Total unweighted spectrum flux is 5903.266 Dec 10 14:53: EXTRACT: Aperture 105 variance spectrum bias factor is 0.4547146 Dec 10 14:53: EXTRACT: WARNING - Aperture 106: Dec 10 14:53: Total variance weighted spectrum flux is 9689.245 Dec 10 14:53: Total unweighted spectrum flux is 3887.822 Dec 10 14:53: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4012513 Dec 10 14:53: EXTRACT: WARNING - Aperture 107: Dec 10 14:53: Total variance weighted spectrum flux is 9450.317 Dec 10 14:53: Total unweighted spectrum flux is 3270.737 Dec 10 14:53: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3460981 Resampling the object by a factor of 4 in the y direction... 120612.0026 Magnify image 120612.0026 to image 120612.0026. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120612.0026,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120612.0026 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120612.0026 -> noscat120612.0026 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 14:54: EXTRACT: WARNING - Aperture 106: Dec 10 14:54: Total variance weighted spectrum flux is 11987. Dec 10 14:54: Total unweighted spectrum flux is 5722.473 Dec 10 14:54: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4773898 Resampling the object by a factor of 4 in the y direction... 120612.0027 Magnify image 120612.0027 to image 120612.0027. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120612.0027,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120612.0027 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120612.0027 -> noscat120612.0027 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120612.0028 Magnify image 120612.0028 to image 120612.0028. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120612.0028,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120612.0028 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120612.0028 -> noscat120612.0028 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 14:57: EXTRACT: WARNING - Aperture 100: Dec 10 14:57: Total variance weighted spectrum flux is 4802.131 Dec 10 14:57: Total unweighted spectrum flux is 814.6067 Dec 10 14:57: EXTRACT: Aperture 100 variance spectrum bias factor is 0.1696344 Dec 10 14:57: EXTRACT: WARNING - Aperture 103: Dec 10 14:57: Total variance weighted spectrum flux is 26423.21 Dec 10 14:57: Total unweighted spectrum flux is 11899.88 Dec 10 14:57: EXTRACT: Aperture 103 variance spectrum bias factor is 0.4503571 Dec 10 14:57: EXTRACT: WARNING - Aperture 106: Dec 10 14:57: Total variance weighted spectrum flux is 5813.232 Dec 10 14:57: Total unweighted spectrum flux is 2697.702 Dec 10 14:57: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4640623 Dec 10 14:57: EXTRACT: WARNING - Aperture 107: Dec 10 14:57: Total variance weighted spectrum flux is 8657.467 Dec 10 14:57: Total unweighted spectrum flux is 4254.694 Dec 10 14:57: EXTRACT: Aperture 107 variance spectrum bias factor is 0.491448 Resampling the object by a factor of 4 in the y direction... 120612.0029 Magnify image 120612.0029 to image 120612.0029. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120612.0029,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120612.0029 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120612.0029 -> noscat120612.0029 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120612.0030 Magnify image 120612.0030 to image 120612.0030. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120612.0030,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120612.0030 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120612.0030 -> noscat120612.0030 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120612.0031 Magnify image 120612.0031 to image 120612.0031. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120612.0031,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120612.0031 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120612.0031 -> noscat120612.0031 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 15:01: EXTRACT: WARNING - Aperture 106: Dec 10 15:01: Total variance weighted spectrum flux is 14260.68 Dec 10 15:01: Total unweighted spectrum flux is 6863.051 Dec 10 15:01: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4812571 add 120612.0001.ec.fits,REFSPEC1 = 120612.0001.ec.fits 120612.0001.ec.fits updated add 120612.0002.ec.fits,REFSPEC1 = 120612.0002.ec.fits 120612.0002.ec.fits updated add 120612.0003.ec.fits,REFSPEC1 = 120612.0003.ec.fits 120612.0003.ec.fits updated add 120612.0004.ec.fits,REFSPEC1 = 120612.0004.ec.fits 120612.0004.ec.fits updated Flatfielding extracted arcs and object spectra... parameter 120612.0001.ec.fits,UTMIDDLE already exists 120612.0001.ec.fits updated 120612.0001.ec.fits,UTMIDDLE: 05:44:10.273 -> 05:44:44.273502 120612.0001.ec.fits updated parameter 120612.0002.ec.fits,UTMIDDLE already exists 120612.0002.ec.fits updated 120612.0002.ec.fits,UTMIDDLE: 05:47:02.512 -> 05:47:36.512732 120612.0002.ec.fits updated parameter 120612.0003.ec.fits,UTMIDDLE already exists 120612.0003.ec.fits updated 120612.0003.ec.fits,UTMIDDLE: 05:50:05.448 -> 05:50:39.447726 120612.0003.ec.fits updated parameter 120612.0004.ec.fits,UTMIDDLE already exists 120612.0004.ec.fits updated 120612.0004.ec.fits,UTMIDDLE: 05:53:08.134 -> 05:53:42.133201 120612.0004.ec.fits updated parameter 120612.0021.ec.fits,UTMIDDLE already exists 120612.0021.ec.fits updated 120612.0021.ec.fits,UTMIDDLE: 07:15:01.348 -> 07:15:35.348163 120612.0021.ec.fits updated parameter 120612.0022.ec.fits,UTMIDDLE already exists 120612.0022.ec.fits updated 120612.0022.ec.fits,UTMIDDLE: 07:30:48.540 -> 07:31:22.539964 120612.0022.ec.fits updated parameter 120612.0023.ec.fits,UTMIDDLE already exists 120612.0023.ec.fits updated 120612.0023.ec.fits,UTMIDDLE: 07:43:25.193 -> 07:43:59.192463 120612.0023.ec.fits updated parameter 120612.0024.ec.fits,UTMIDDLE already exists 120612.0024.ec.fits updated 120612.0024.ec.fits,UTMIDDLE: 07:57:00.999 -> 07:57:34.999133 120612.0024.ec.fits updated parameter 120612.0025.ec.fits,UTMIDDLE already exists 120612.0025.ec.fits updated 120612.0025.ec.fits,UTMIDDLE: 08:11:37.962 -> 08:12:11.962042 120612.0025.ec.fits updated parameter 120612.0026.ec.fits,UTMIDDLE already exists 120612.0026.ec.fits updated 120612.0026.ec.fits,UTMIDDLE: 08:29:39.498 -> 08:30:13.497826 120612.0026.ec.fits updated parameter 120612.0027.ec.fits,UTMIDDLE already exists 120612.0027.ec.fits updated 120612.0027.ec.fits,UTMIDDLE: 08:47:28.533 -> 08:48:02.532751 120612.0027.ec.fits updated parameter 120612.0028.ec.fits,UTMIDDLE already exists 120612.0028.ec.fits updated 120612.0028.ec.fits,UTMIDDLE: 09:07:47.331 -> 09:08:21.330852 120612.0028.ec.fits updated parameter 120612.0029.ec.fits,UTMIDDLE already exists 120612.0029.ec.fits updated 120612.0029.ec.fits,UTMIDDLE: 09:26:23.110 -> 09:26:57.110071 120612.0029.ec.fits updated parameter 120612.0030.ec.fits,UTMIDDLE already exists 120612.0030.ec.fits updated 120612.0030.ec.fits,UTMIDDLE: 09:39:17.591 -> 09:39:51.591158 120612.0030.ec.fits updated parameter 120612.0031.ec.fits,UTMIDDLE already exists 120612.0031.ec.fits updated 120612.0031.ec.fits,UTMIDDLE: 09:52:51.208 -> 09:53:25.208851 120612.0031.ec.fits updated Setting Julian Date Keywords # Image jd hjd ljd # SETJD: Observatory parameters for Apache Point Observatory # timezone = 7 120612.0021.ec.fits 2456090.80249 2456090.80467 2456090 120612.0022.ec.fits 2456090.81346 2456090.81476 2456090 120612.0023.ec.fits 2456090.82221 2456090.82452 2456090 120612.0024.ec.fits 2456090.83166 2456090.83365 2456090 120612.0025.ec.fits 2456090.84181 2456090.84312 2456090 120612.0026.ec.fits 2456090.85432 2456090.85579 2456090 120612.0027.ec.fits 2456090.86670 2456090.86822 2456090 120612.0028.ec.fits 2456090.88080 2456090.88291 2456090 120612.0029.ec.fits 2456090.89372 2456090.89541 2456090 120612.0030.ec.fits 2456090.90268 2456090.90392 2456090 120612.0031.ec.fits 2456090.91210 2456090.91345 2456090 ECREIDENTIFY: NOAO/IRAF V2.16.1 jeanm12@tequila.nmsu.edu Tue 15:01:27 10-Dec-2013 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS 120612.0001.ec 1259/1599 1259/1259 3.4 -24.6 -4.3E-5 0.0112 120612.0002.ec 1591/1599 1591/1591 3.41 -24.7 -4.3E-5 0.00628 120612.0003.ec 1591/1599 1591/1591 3.43 -24.8 -4.4E-5 0.00604 120612.0004.ec 1594/1599 1594/1594 3.45 -25. -4.4E-5 0.00594 [120612.0021.ec] refspec1='120612.0004.ec' [120612.0022.ec] refspec1='120612.0004.ec' [120612.0023.ec] refspec1='120612.0004.ec' [120612.0024.ec] refspec1='120612.0004.ec' [120612.0025.ec] refspec1='120612.0004.ec' [120612.0026.ec] refspec1='120612.0004.ec' [120612.0027.ec] refspec1='120612.0004.ec' [120612.0028.ec] refspec1='120612.0004.ec' [120612.0029.ec] refspec1='120612.0004.ec' [120612.0030.ec] refspec1='120612.0004.ec' [120612.0031.ec] refspec1='120612.0004.ec' [120612.0001.ec] refspec1='120612.0001.ec' [120612.0002.ec] refspec1='120612.0002.ec' [120612.0003.ec] refspec1='120612.0003.ec' [120612.0004.ec] refspec1='120612.0004.ec' 120612.0021.ec.fits: REFSPEC1 = '120612.0004.ec 1.' 120612.0021.ec.fits: ap = 1, w1 = 10649.25, w2 = 10428.21, dw = -0.13396, nw = 1651 120612.0021.ec.fits: ap = 2, w1 = 10455.65, w2 = 10238.63, dw = -0.13153, nw = 1651 120612.0021.ec.fits: ap = 3, w1 = 10268.95, w2 = 10055.81, dw = -0.12918, nw = 1651 120612.0021.ec.fits: ap = 4, w1 = 10088.81, w2 = 9879.409, dw = -0.12691, nw = 1651 120612.0021.ec.fits: ap = 5, w1 = 9914.876, w2 = 9709.09, dw = -0.12472, nw = 1651 120612.0021.ec.fits: ap = 6, w1 = 9746.84, w2 = 9544.544, dw = -0.1226, nw = 1651 120612.0021.ec.fits: ap = 7, w1 = 9584.406, w2 = 9385.483, dw = -0.12056, nw = 1651 120612.0021.ec.fits: ap = 8, w1 = 9427.297, w2 = 9231.638, dw = -0.11858, nw = 1651 120612.0021.ec.fits: ap = 9, w1 = 9275.255, w2 = 9082.755, dw = -0.11667, nw = 1651 120612.0021.ec.fits: ap = 10, w1 = 9128.041, w2 = 8938.598, dw = -0.11481, nw = 1651 120612.0021.ec.fits: ap = 11, w1 = 8985.426, w2 = 8798.947, dw = -0.11302, nw = 1651 120612.0021.ec.fits: ap = 12, w1 = 8847.2, w2 = 8663.592, dw = -0.11128, nw = 1651 120612.0021.ec.fits: ap = 13, w1 = 8713.163, w2 = 8532.339, dw = -0.10959, nw = 1651 120612.0021.ec.fits: ap = 14, w1 = 8583.126, w2 = 8405.004, dw = -0.10795, nw = 1651 120612.0021.ec.fits: ap = 15, w1 = 8456.914, w2 = 8281.414, dw = -0.10636, nw = 1651 120612.0021.ec.fits: ap = 16, w1 = 8334.36, w2 = 8161.406, dw = -0.10482, nw = 1651 120612.0021.ec.fits: ap = 17, w1 = 8215.308, w2 = 8044.828, dw = -0.10332, nw = 1651 120612.0021.ec.fits: ap = 18, w1 = 8099.609, w2 = 7931.533, dw = -0.10186, nw = 1651 120612.0021.ec.fits: ap = 19, w1 = 7987.124, w2 = 7821.385, dw = -0.10045, nw = 1651 120612.0021.ec.fits: ap = 20, w1 = 7877.721, w2 = 7714.255, dw = -0.09907, nw = 1651 120612.0021.ec.fits: ap = 21, w1 = 7771.275, w2 = 7610.02, dw = -0.09773, nw = 1651 120612.0021.ec.fits: ap = 22, w1 = 7667.667, w2 = 7508.565, dw = -0.09643, nw = 1651 120612.0021.ec.fits: ap = 23, w1 = 7566.786, w2 = 7409.78, dw = -0.09516, nw = 1651 120612.0021.ec.fits: ap = 24, w1 = 7468.525, w2 = 7313.56, dw = -0.09392, nw = 1651 120612.0021.ec.fits: ap = 25, w1 = 7372.783, w2 = 7219.808, dw = -0.09271, nw = 1651 120612.0021.ec.fits: ap = 26, w1 = 7279.466, w2 = 7128.429, dw = -0.09154, nw = 1651 120612.0021.ec.fits: ap = 27, w1 = 7188.481, w2 = 7039.335, dw = -0.09039, nw = 1651 120612.0021.ec.fits: ap = 28, w1 = 7099.743, w2 = 6952.441, dw = -0.08927, nw = 1651 120612.0021.ec.fits: ap = 29, w1 = 7013.169, w2 = 6867.666, dw = -0.08818, nw = 1651 120612.0021.ec.fits: ap = 30, w1 = 6928.681, w2 = 6784.934, dw = -0.08712, nw = 1651 120612.0021.ec.fits: ap = 31, w1 = 6846.205, w2 = 6704.171, dw = -0.08608, nw = 1651 120612.0021.ec.fits: ap = 32, w1 = 6765.67, w2 = 6625.309, dw = -0.08507, nw = 1651 120612.0021.ec.fits: ap = 33, w1 = 6687.007, w2 = 6548.281, dw = -0.08408, nw = 1651 120612.0021.ec.fits: ap = 34, w1 = 6610.153, w2 = 6473.024, dw = -0.08311, nw = 1651 120612.0021.ec.fits: ap = 35, w1 = 6535.046, w2 = 6399.477, dw = -0.08216, nw = 1651 120612.0021.ec.fits: ap = 36, w1 = 6461.626, w2 = 6327.583, dw = -0.08124, nw = 1651 120612.0021.ec.fits: ap = 37, w1 = 6389.839, w2 = 6257.287, dw = -0.08033, nw = 1651 120612.0021.ec.fits: ap = 38, w1 = 6319.628, w2 = 6188.536, dw = -0.07945, nw = 1651 120612.0021.ec.fits: ap = 39, w1 = 6250.945, w2 = 6121.279, dw = -0.07859, nw = 1651 120612.0021.ec.fits: ap = 40, w1 = 6183.738, w2 = 6055.469, dw = -0.07774, nw = 1651 120612.0021.ec.fits: ap = 41, w1 = 6117.961, w2 = 5991.059, dw = -0.07691, nw = 1651 120612.0021.ec.fits: ap = 42, w1 = 6053.57, w2 = 5928.005, dw = -0.0761, nw = 1651 120612.0021.ec.fits: ap = 43, w1 = 5990.519, w2 = 5866.265, dw = -0.07531, nw = 1651 120612.0021.ec.fits: ap = 44, w1 = 5928.769, w2 = 5805.797, dw = -0.07453, nw = 1651 120612.0021.ec.fits: ap = 45, w1 = 5868.279, w2 = 5746.564, dw = -0.07377, nw = 1651 120612.0021.ec.fits: ap = 46, w1 = 5809.012, w2 = 5688.528, dw = -0.07302, nw = 1651 120612.0021.ec.fits: ap = 47, w1 = 5750.929, w2 = 5631.652, dw = -0.07229, nw = 1651 120612.0021.ec.fits: ap = 48, w1 = 5693.997, w2 = 5575.902, dw = -0.07157, nw = 1651 120612.0021.ec.fits: ap = 49, w1 = 5638.181, w2 = 5521.246, dw = -0.07087, nw = 1651 120612.0021.ec.fits: ap = 50, w1 = 5583.449, w2 = 5467.651, dw = -0.07018, nw = 1651 120612.0021.ec.fits: ap = 51, w1 = 5529.77, w2 = 5415.087, dw = -0.0695, nw = 1651 120612.0021.ec.fits: ap = 52, w1 = 5477.114, w2 = 5363.524, dw = -0.06884, nw = 1651 120612.0021.ec.fits: ap = 53, w1 = 5425.451, w2 = 5312.934, dw = -0.06819, nw = 1651 120612.0021.ec.fits: ap = 54, w1 = 5374.753, w2 = 5263.29, dw = -0.06755, nw = 1651 120612.0021.ec.fits: ap = 55, w1 = 5324.995, w2 = 5214.565, dw = -0.06693, nw = 1651 120612.0021.ec.fits: ap = 56, w1 = 5276.15, w2 = 5166.734, dw = -0.06631, nw = 1651 120612.0021.ec.fits: ap = 57, w1 = 5228.193, w2 = 5119.773, dw = -0.06571, nw = 1651 120612.0021.ec.fits: ap = 58, w1 = 5181.1, w2 = 5073.658, dw = -0.06512, nw = 1651 120612.0021.ec.fits: ap = 59, w1 = 5134.848, w2 = 5028.367, dw = -0.06453, nw = 1651 120612.0021.ec.fits: ap = 60, w1 = 5089.415, w2 = 4983.877, dw = -0.06396, nw = 1651 120612.0021.ec.fits: ap = 61, w1 = 5044.779, w2 = 4940.168, dw = -0.0634, nw = 1651 120612.0021.ec.fits: ap = 62, w1 = 5000.92, w2 = 4897.219, dw = -0.06285, nw = 1651 120612.0021.ec.fits: ap = 63, w1 = 4957.817, w2 = 4855.011, dw = -0.06231, nw = 1651 120612.0021.ec.fits: ap = 64, w1 = 4915.45, w2 = 4813.524, dw = -0.06177, nw = 1651 120612.0021.ec.fits: ap = 65, w1 = 4873.802, w2 = 4772.741, dw = -0.06125, nw = 1651 120612.0021.ec.fits: ap = 66, w1 = 4832.854, w2 = 4732.643, dw = -0.06073, nw = 1651 120612.0021.ec.fits: ap = 67, w1 = 4792.589, w2 = 4693.213, dw = -0.06023, nw = 1651 120612.0021.ec.fits: ap = 68, w1 = 4752.989, w2 = 4654.435, dw = -0.05973, nw = 1651 120612.0021.ec.fits: ap = 69, w1 = 4714.039, w2 = 4616.293, dw = -0.05924, nw = 1651 120612.0021.ec.fits: ap = 70, w1 = 4675.722, w2 = 4578.771, dw = -0.05876, nw = 1651 120612.0021.ec.fits: ap = 71, w1 = 4638.024, w2 = 4541.855, dw = -0.05828, nw = 1651 120612.0021.ec.fits: ap = 72, w1 = 4600.928, w2 = 4505.529, dw = -0.05782, nw = 1651 120612.0021.ec.fits: ap = 73, w1 = 4564.422, w2 = 4469.78, dw = -0.05736, nw = 1651 120612.0021.ec.fits: ap = 74, w1 = 4528.49, w2 = 4434.594, dw = -0.05691, nw = 1651 120612.0021.ec.fits: ap = 75, w1 = 4493.12, w2 = 4399.958, dw = -0.05646, nw = 1651 120612.0021.ec.fits: ap = 76, w1 = 4458.299, w2 = 4365.858, dw = -0.05602, nw = 1651 120612.0021.ec.fits: ap = 77, w1 = 4424.014, w2 = 4332.284, dw = -0.05559, nw = 1651 120612.0021.ec.fits: ap = 78, w1 = 4390.252, w2 = 4299.222, dw = -0.05517, nw = 1651 120612.0021.ec.fits: ap = 79, w1 = 4357.002, w2 = 4266.662, dw = -0.05475, nw = 1651 120612.0021.ec.fits: ap = 80, w1 = 4324.252, w2 = 4234.59, dw = -0.05434, nw = 1651 120612.0021.ec.fits: ap = 81, w1 = 4291.991, w2 = 4202.998, dw = -0.05393, nw = 1651 120612.0021.ec.fits: ap = 82, w1 = 4260.208, w2 = 4171.874, dw = -0.05354, nw = 1651 120612.0021.ec.fits: ap = 83, w1 = 4228.892, w2 = 4141.208, dw = -0.05314, nw = 1651 120612.0021.ec.fits: ap = 84, w1 = 4198.034, w2 = 4110.989, dw = -0.05275, nw = 1651 120612.0021.ec.fits: ap = 85, w1 = 4167.624, w2 = 4081.208, dw = -0.05237, nw = 1651 120612.0021.ec.fits: ap = 86, w1 = 4137.651, w2 = 4051.856, dw = -0.052, nw = 1651 120612.0021.ec.fits: ap = 87, w1 = 4108.106, w2 = 4022.924, dw = -0.05163, nw = 1651 120612.0021.ec.fits: ap = 88, w1 = 4078.981, w2 = 3994.402, dw = -0.05126, nw = 1651 120612.0021.ec.fits: ap = 89, w1 = 4050.266, w2 = 3966.281, dw = -0.0509, nw = 1651 120612.0021.ec.fits: ap = 90, w1 = 4021.952, w2 = 3938.554, dw = -0.05054, nw = 1651 120612.0021.ec.fits: ap = 91, w1 = 3994.033, w2 = 3911.213, dw = -0.05019, nw = 1651 120612.0021.ec.fits: ap = 92, w1 = 3966.498, w2 = 3884.248, dw = -0.04985, nw = 1651 120612.0021.ec.fits: ap = 93, w1 = 3939.341, w2 = 3857.653, dw = -0.04951, nw = 1651 120612.0021.ec.fits: ap = 94, w1 = 3912.554, w2 = 3831.42, dw = -0.04917, nw = 1651 120612.0021.ec.fits: ap = 95, w1 = 3886.128, w2 = 3805.541, dw = -0.04884, nw = 1651 120612.0021.ec.fits: ap = 96, w1 = 3860.058, w2 = 3780.01, dw = -0.04851, nw = 1651 120612.0021.ec.fits: ap = 97, w1 = 3834.335, w2 = 3754.82, dw = -0.04819, nw = 1651 120612.0021.ec.fits: ap = 98, w1 = 3808.953, w2 = 3729.963, dw = -0.04787, nw = 1651 120612.0021.ec.fits: ap = 99, w1 = 3783.906, w2 = 3705.433, dw = -0.04756, nw = 1651 120612.0021.ec.fits: ap = 100, w1 = 3759.186, w2 = 3681.224, dw = -0.04725, nw = 1651 120612.0021.ec.fits: ap = 101, w1 = 3734.787, w2 = 3657.33, dw = -0.04694, nw = 1651 120612.0021.ec.fits: ap = 102, w1 = 3710.703, w2 = 3633.744, dw = -0.04664, nw = 1651 120612.0021.ec.fits: ap = 103, w1 = 3686.928, w2 = 3610.46, dw = -0.04634, nw = 1651 120612.0021.ec.fits: ap = 104, w1 = 3663.456, w2 = 3587.473, dw = -0.04605, nw = 1651 120612.0021.ec.fits: ap = 105, w1 = 3640.282, w2 = 3564.777, dw = -0.04576, nw = 1651 120612.0021.ec.fits: ap = 106, w1 = 3617.399, w2 = 3542.367, dw = -0.04547, nw = 1651 120612.0021.ec.fits: ap = 107, w1 = 3594.803, w2 = 3520.237, dw = -0.04519, nw = 1651 120612.0022.ec.fits: REFSPEC1 = '120612.0004.ec 1.' 120612.0022.ec.fits: ap = 1, w1 = 10649.25, w2 = 10428.21, dw = -0.13396, nw = 1651 120612.0022.ec.fits: ap = 2, w1 = 10455.65, w2 = 10238.63, dw = -0.13153, nw = 1651 120612.0022.ec.fits: ap = 3, w1 = 10268.95, w2 = 10055.81, dw = -0.12918, nw = 1651 120612.0022.ec.fits: ap = 4, w1 = 10088.81, w2 = 9879.409, dw = -0.12691, nw = 1651 120612.0022.ec.fits: ap = 5, w1 = 9914.876, w2 = 9709.09, dw = -0.12472, nw = 1651 120612.0022.ec.fits: ap = 6, w1 = 9746.84, w2 = 9544.544, dw = -0.1226, nw = 1651 120612.0022.ec.fits: ap = 7, w1 = 9584.406, w2 = 9385.483, dw = -0.12056, nw = 1651 120612.0022.ec.fits: ap = 8, w1 = 9427.297, w2 = 9231.638, dw = -0.11858, nw = 1651 120612.0022.ec.fits: ap = 9, w1 = 9275.255, w2 = 9082.755, dw = -0.11667, nw = 1651 120612.0022.ec.fits: ap = 10, w1 = 9128.041, w2 = 8938.598, dw = -0.11481, nw = 1651 120612.0022.ec.fits: ap = 11, w1 = 8985.426, w2 = 8798.947, dw = -0.11302, nw = 1651 120612.0022.ec.fits: ap = 12, w1 = 8847.2, w2 = 8663.592, dw = -0.11128, nw = 1651 120612.0022.ec.fits: ap = 13, w1 = 8713.163, w2 = 8532.339, dw = -0.10959, nw = 1651 120612.0022.ec.fits: ap = 14, w1 = 8583.126, w2 = 8405.004, dw = -0.10795, nw = 1651 120612.0022.ec.fits: ap = 15, w1 = 8456.914, w2 = 8281.414, dw = -0.10636, nw = 1651 120612.0022.ec.fits: ap = 16, w1 = 8334.36, w2 = 8161.406, dw = -0.10482, nw = 1651 120612.0022.ec.fits: ap = 17, w1 = 8215.308, w2 = 8044.828, dw = -0.10332, nw = 1651 120612.0022.ec.fits: ap = 18, w1 = 8099.609, w2 = 7931.533, dw = -0.10186, nw = 1651 120612.0022.ec.fits: ap = 19, w1 = 7987.124, w2 = 7821.385, dw = -0.10045, nw = 1651 120612.0022.ec.fits: ap = 20, w1 = 7877.721, w2 = 7714.255, dw = -0.09907, nw = 1651 120612.0022.ec.fits: ap = 21, w1 = 7771.275, w2 = 7610.02, dw = -0.09773, nw = 1651 120612.0022.ec.fits: ap = 22, w1 = 7667.667, w2 = 7508.565, dw = -0.09643, nw = 1651 120612.0022.ec.fits: ap = 23, w1 = 7566.786, w2 = 7409.78, dw = -0.09516, nw = 1651 120612.0022.ec.fits: ap = 24, w1 = 7468.525, w2 = 7313.56, dw = -0.09392, nw = 1651 120612.0022.ec.fits: ap = 25, w1 = 7372.783, w2 = 7219.808, dw = -0.09271, nw = 1651 120612.0022.ec.fits: ap = 26, w1 = 7279.466, w2 = 7128.429, dw = -0.09154, nw = 1651 120612.0022.ec.fits: ap = 27, w1 = 7188.481, w2 = 7039.335, dw = -0.09039, nw = 1651 120612.0022.ec.fits: ap = 28, w1 = 7099.743, w2 = 6952.441, dw = -0.08927, nw = 1651 120612.0022.ec.fits: ap = 29, w1 = 7013.169, w2 = 6867.666, dw = -0.08818, nw = 1651 120612.0022.ec.fits: ap = 30, w1 = 6928.681, w2 = 6784.934, dw = -0.08712, nw = 1651 120612.0022.ec.fits: ap = 31, w1 = 6846.205, w2 = 6704.171, dw = -0.08608, nw = 1651 120612.0022.ec.fits: ap = 32, w1 = 6765.67, w2 = 6625.309, dw = -0.08507, nw = 1651 120612.0022.ec.fits: ap = 33, w1 = 6687.007, w2 = 6548.281, dw = -0.08408, nw = 1651 120612.0022.ec.fits: ap = 34, w1 = 6610.153, w2 = 6473.024, dw = -0.08311, nw = 1651 120612.0022.ec.fits: ap = 35, w1 = 6535.046, w2 = 6399.477, dw = -0.08216, nw = 1651 120612.0022.ec.fits: ap = 36, w1 = 6461.626, w2 = 6327.583, dw = -0.08124, nw = 1651 120612.0022.ec.fits: ap = 37, w1 = 6389.839, w2 = 6257.287, dw = -0.08033, nw = 1651 120612.0022.ec.fits: ap = 38, w1 = 6319.628, w2 = 6188.536, dw = -0.07945, nw = 1651 120612.0022.ec.fits: ap = 39, w1 = 6250.945, w2 = 6121.279, dw = -0.07859, nw = 1651 120612.0022.ec.fits: ap = 40, w1 = 6183.738, w2 = 6055.469, dw = -0.07774, nw = 1651 120612.0022.ec.fits: ap = 41, w1 = 6117.961, w2 = 5991.059, dw = -0.07691, nw = 1651 120612.0022.ec.fits: ap = 42, w1 = 6053.57, w2 = 5928.005, dw = -0.0761, nw = 1651 120612.0022.ec.fits: ap = 43, w1 = 5990.519, w2 = 5866.265, dw = -0.07531, nw = 1651 120612.0022.ec.fits: ap = 44, w1 = 5928.769, w2 = 5805.797, dw = -0.07453, nw = 1651 120612.0022.ec.fits: ap = 45, w1 = 5868.279, w2 = 5746.564, dw = -0.07377, nw = 1651 120612.0022.ec.fits: ap = 46, w1 = 5809.012, w2 = 5688.528, dw = -0.07302, nw = 1651 120612.0022.ec.fits: ap = 47, w1 = 5750.929, w2 = 5631.652, dw = -0.07229, nw = 1651 120612.0022.ec.fits: ap = 48, w1 = 5693.997, w2 = 5575.902, dw = -0.07157, nw = 1651 120612.0022.ec.fits: ap = 49, w1 = 5638.181, w2 = 5521.246, dw = -0.07087, nw = 1651 120612.0022.ec.fits: ap = 50, w1 = 5583.449, w2 = 5467.651, dw = -0.07018, nw = 1651 120612.0022.ec.fits: ap = 51, w1 = 5529.77, w2 = 5415.087, dw = -0.0695, nw = 1651 120612.0022.ec.fits: ap = 52, w1 = 5477.114, w2 = 5363.524, dw = -0.06884, nw = 1651 120612.0022.ec.fits: ap = 53, w1 = 5425.451, w2 = 5312.934, dw = -0.06819, nw = 1651 120612.0022.ec.fits: ap = 54, w1 = 5374.753, w2 = 5263.29, dw = -0.06755, nw = 1651 120612.0022.ec.fits: ap = 55, w1 = 5324.995, w2 = 5214.565, dw = -0.06693, nw = 1651 120612.0022.ec.fits: ap = 56, w1 = 5276.15, w2 = 5166.734, dw = -0.06631, nw = 1651 120612.0022.ec.fits: ap = 57, w1 = 5228.193, w2 = 5119.773, dw = -0.06571, nw = 1651 120612.0022.ec.fits: ap = 58, w1 = 5181.1, w2 = 5073.658, dw = -0.06512, nw = 1651 120612.0022.ec.fits: ap = 59, w1 = 5134.848, w2 = 5028.367, dw = -0.06453, nw = 1651 120612.0022.ec.fits: ap = 60, w1 = 5089.415, w2 = 4983.877, dw = -0.06396, nw = 1651 120612.0022.ec.fits: ap = 61, w1 = 5044.779, w2 = 4940.168, dw = -0.0634, nw = 1651 120612.0022.ec.fits: ap = 62, w1 = 5000.92, w2 = 4897.219, dw = -0.06285, nw = 1651 120612.0022.ec.fits: ap = 63, w1 = 4957.817, w2 = 4855.011, dw = -0.06231, nw = 1651 120612.0022.ec.fits: ap = 64, w1 = 4915.45, w2 = 4813.524, dw = -0.06177, nw = 1651 120612.0022.ec.fits: ap = 65, w1 = 4873.802, w2 = 4772.741, dw = -0.06125, nw = 1651 120612.0022.ec.fits: ap = 66, w1 = 4832.854, w2 = 4732.643, dw = -0.06073, nw = 1651 120612.0022.ec.fits: ap = 67, w1 = 4792.589, w2 = 4693.213, dw = -0.06023, nw = 1651 120612.0022.ec.fits: ap = 68, w1 = 4752.989, w2 = 4654.435, dw = -0.05973, nw = 1651 120612.0022.ec.fits: ap = 69, w1 = 4714.039, w2 = 4616.293, dw = -0.05924, nw = 1651 120612.0022.ec.fits: ap = 70, w1 = 4675.722, w2 = 4578.771, dw = -0.05876, nw = 1651 120612.0022.ec.fits: ap = 71, w1 = 4638.024, w2 = 4541.855, dw = -0.05828, nw = 1651 120612.0022.ec.fits: ap = 72, w1 = 4600.928, w2 = 4505.529, dw = -0.05782, nw = 1651 120612.0022.ec.fits: ap = 73, w1 = 4564.422, w2 = 4469.78, dw = -0.05736, nw = 1651 120612.0022.ec.fits: ap = 74, w1 = 4528.49, w2 = 4434.594, dw = -0.05691, nw = 1651 120612.0022.ec.fits: ap = 75, w1 = 4493.12, w2 = 4399.958, dw = -0.05646, nw = 1651 120612.0022.ec.fits: ap = 76, w1 = 4458.299, w2 = 4365.858, dw = -0.05602, nw = 1651 120612.0022.ec.fits: ap = 77, w1 = 4424.014, w2 = 4332.284, dw = -0.05559, nw = 1651 120612.0022.ec.fits: ap = 78, w1 = 4390.252, w2 = 4299.222, dw = -0.05517, nw = 1651 120612.0022.ec.fits: ap = 79, w1 = 4357.002, w2 = 4266.662, dw = -0.05475, nw = 1651 120612.0022.ec.fits: ap = 80, w1 = 4324.252, w2 = 4234.59, dw = -0.05434, nw = 1651 120612.0022.ec.fits: ap = 81, w1 = 4291.991, w2 = 4202.998, dw = -0.05393, nw = 1651 120612.0022.ec.fits: ap = 82, w1 = 4260.208, w2 = 4171.874, dw = -0.05354, nw = 1651 120612.0022.ec.fits: ap = 83, w1 = 4228.892, w2 = 4141.208, dw = -0.05314, nw = 1651 120612.0022.ec.fits: ap = 84, w1 = 4198.034, w2 = 4110.989, dw = -0.05275, nw = 1651 120612.0022.ec.fits: ap = 85, w1 = 4167.624, w2 = 4081.208, dw = -0.05237, nw = 1651 120612.0022.ec.fits: ap = 86, w1 = 4137.651, w2 = 4051.856, dw = -0.052, nw = 1651 120612.0022.ec.fits: ap = 87, w1 = 4108.106, w2 = 4022.924, dw = -0.05163, nw = 1651 120612.0022.ec.fits: ap = 88, w1 = 4078.981, w2 = 3994.402, dw = -0.05126, nw = 1651 120612.0022.ec.fits: ap = 89, w1 = 4050.266, w2 = 3966.281, dw = -0.0509, nw = 1651 120612.0022.ec.fits: ap = 90, w1 = 4021.952, w2 = 3938.554, dw = -0.05054, nw = 1651 120612.0022.ec.fits: ap = 91, w1 = 3994.033, w2 = 3911.213, dw = -0.05019, nw = 1651 120612.0022.ec.fits: ap = 92, w1 = 3966.498, w2 = 3884.248, dw = -0.04985, nw = 1651 120612.0022.ec.fits: ap = 93, w1 = 3939.341, w2 = 3857.653, dw = -0.04951, nw = 1651 120612.0022.ec.fits: ap = 94, w1 = 3912.554, w2 = 3831.42, dw = -0.04917, nw = 1651 120612.0022.ec.fits: ap = 95, w1 = 3886.128, w2 = 3805.541, dw = -0.04884, nw = 1651 120612.0022.ec.fits: ap = 96, w1 = 3860.058, w2 = 3780.01, dw = -0.04851, nw = 1651 120612.0022.ec.fits: ap = 97, w1 = 3834.335, w2 = 3754.82, dw = -0.04819, nw = 1651 120612.0022.ec.fits: ap = 98, w1 = 3808.953, w2 = 3729.963, dw = -0.04787, nw = 1651 120612.0022.ec.fits: ap = 99, w1 = 3783.906, w2 = 3705.433, dw = -0.04756, nw = 1651 120612.0022.ec.fits: ap = 100, w1 = 3759.186, w2 = 3681.224, dw = -0.04725, nw = 1651 120612.0022.ec.fits: ap = 101, w1 = 3734.787, w2 = 3657.33, dw = -0.04694, nw = 1651 120612.0022.ec.fits: ap = 102, w1 = 3710.703, w2 = 3633.744, dw = -0.04664, nw = 1651 120612.0022.ec.fits: ap = 103, w1 = 3686.928, w2 = 3610.46, dw = -0.04634, nw = 1651 120612.0022.ec.fits: ap = 104, w1 = 3663.456, w2 = 3587.473, dw = -0.04605, nw = 1651 120612.0022.ec.fits: ap = 105, w1 = 3640.282, w2 = 3564.777, dw = -0.04576, nw = 1651 120612.0022.ec.fits: ap = 106, w1 = 3617.399, w2 = 3542.367, dw = -0.04547, nw = 1651 120612.0022.ec.fits: ap = 107, w1 = 3594.803, w2 = 3520.237, dw = -0.04519, nw = 1651 120612.0023.ec.fits: REFSPEC1 = '120612.0004.ec 1.' 120612.0023.ec.fits: ap = 1, w1 = 10649.25, w2 = 10428.21, dw = -0.13396, nw = 1651 120612.0023.ec.fits: ap = 2, w1 = 10455.65, w2 = 10238.63, dw = -0.13153, nw = 1651 120612.0023.ec.fits: ap = 3, w1 = 10268.95, w2 = 10055.81, dw = -0.12918, nw = 1651 120612.0023.ec.fits: ap = 4, w1 = 10088.81, w2 = 9879.409, dw = -0.12691, nw = 1651 120612.0023.ec.fits: ap = 5, w1 = 9914.876, w2 = 9709.09, dw = -0.12472, nw = 1651 120612.0023.ec.fits: ap = 6, w1 = 9746.84, w2 = 9544.544, dw = -0.1226, nw = 1651 120612.0023.ec.fits: ap = 7, w1 = 9584.406, w2 = 9385.483, dw = -0.12056, nw = 1651 120612.0023.ec.fits: ap = 8, w1 = 9427.297, w2 = 9231.638, dw = -0.11858, nw = 1651 120612.0023.ec.fits: ap = 9, w1 = 9275.255, w2 = 9082.755, dw = -0.11667, nw = 1651 120612.0023.ec.fits: ap = 10, w1 = 9128.041, w2 = 8938.598, dw = -0.11481, nw = 1651 120612.0023.ec.fits: ap = 11, w1 = 8985.426, w2 = 8798.947, dw = -0.11302, nw = 1651 120612.0023.ec.fits: ap = 12, w1 = 8847.2, w2 = 8663.592, dw = -0.11128, nw = 1651 120612.0023.ec.fits: ap = 13, w1 = 8713.163, w2 = 8532.339, dw = -0.10959, nw = 1651 120612.0023.ec.fits: ap = 14, w1 = 8583.126, w2 = 8405.004, dw = -0.10795, nw = 1651 120612.0023.ec.fits: ap = 15, w1 = 8456.914, w2 = 8281.414, dw = -0.10636, nw = 1651 120612.0023.ec.fits: ap = 16, w1 = 8334.36, w2 = 8161.406, dw = -0.10482, nw = 1651 120612.0023.ec.fits: ap = 17, w1 = 8215.308, w2 = 8044.828, dw = -0.10332, nw = 1651 120612.0023.ec.fits: ap = 18, w1 = 8099.609, w2 = 7931.533, dw = -0.10186, nw = 1651 120612.0023.ec.fits: ap = 19, w1 = 7987.124, w2 = 7821.385, dw = -0.10045, nw = 1651 120612.0023.ec.fits: ap = 20, w1 = 7877.721, w2 = 7714.255, dw = -0.09907, nw = 1651 120612.0023.ec.fits: ap = 21, w1 = 7771.275, w2 = 7610.02, dw = -0.09773, nw = 1651 120612.0023.ec.fits: ap = 22, w1 = 7667.667, w2 = 7508.565, dw = -0.09643, nw = 1651 120612.0023.ec.fits: ap = 23, w1 = 7566.786, w2 = 7409.78, dw = -0.09516, nw = 1651 120612.0023.ec.fits: ap = 24, w1 = 7468.525, w2 = 7313.56, dw = -0.09392, nw = 1651 120612.0023.ec.fits: ap = 25, w1 = 7372.783, w2 = 7219.808, dw = -0.09271, nw = 1651 120612.0023.ec.fits: ap = 26, w1 = 7279.466, w2 = 7128.429, dw = -0.09154, nw = 1651 120612.0023.ec.fits: ap = 27, w1 = 7188.481, w2 = 7039.335, dw = -0.09039, nw = 1651 120612.0023.ec.fits: ap = 28, w1 = 7099.743, w2 = 6952.441, dw = -0.08927, nw = 1651 120612.0023.ec.fits: ap = 29, w1 = 7013.169, w2 = 6867.666, dw = -0.08818, nw = 1651 120612.0023.ec.fits: ap = 30, w1 = 6928.681, w2 = 6784.934, dw = -0.08712, nw = 1651 120612.0023.ec.fits: ap = 31, w1 = 6846.205, w2 = 6704.171, dw = -0.08608, nw = 1651 120612.0023.ec.fits: ap = 32, w1 = 6765.67, w2 = 6625.309, dw = -0.08507, nw = 1651 120612.0023.ec.fits: ap = 33, w1 = 6687.007, w2 = 6548.281, dw = -0.08408, nw = 1651 120612.0023.ec.fits: ap = 34, w1 = 6610.153, w2 = 6473.024, dw = -0.08311, nw = 1651 120612.0023.ec.fits: ap = 35, w1 = 6535.046, w2 = 6399.477, dw = -0.08216, nw = 1651 120612.0023.ec.fits: ap = 36, w1 = 6461.626, w2 = 6327.583, dw = -0.08124, nw = 1651 120612.0023.ec.fits: ap = 37, w1 = 6389.839, w2 = 6257.287, dw = -0.08033, nw = 1651 120612.0023.ec.fits: ap = 38, w1 = 6319.628, w2 = 6188.536, dw = -0.07945, nw = 1651 120612.0023.ec.fits: ap = 39, w1 = 6250.945, w2 = 6121.279, dw = -0.07859, nw = 1651 120612.0023.ec.fits: ap = 40, w1 = 6183.738, w2 = 6055.469, dw = -0.07774, nw = 1651 120612.0023.ec.fits: ap = 41, w1 = 6117.961, w2 = 5991.059, dw = -0.07691, nw = 1651 120612.0023.ec.fits: ap = 42, w1 = 6053.57, w2 = 5928.005, dw = -0.0761, nw = 1651 120612.0023.ec.fits: ap = 43, w1 = 5990.519, w2 = 5866.265, dw = -0.07531, nw = 1651 120612.0023.ec.fits: ap = 44, w1 = 5928.769, w2 = 5805.797, dw = -0.07453, nw = 1651 120612.0023.ec.fits: ap = 45, w1 = 5868.279, w2 = 5746.564, dw = -0.07377, nw = 1651 120612.0023.ec.fits: ap = 46, w1 = 5809.012, w2 = 5688.528, dw = -0.07302, nw = 1651 120612.0023.ec.fits: ap = 47, w1 = 5750.929, w2 = 5631.652, dw = -0.07229, nw = 1651 120612.0023.ec.fits: ap = 48, w1 = 5693.997, w2 = 5575.902, dw = -0.07157, nw = 1651 120612.0023.ec.fits: ap = 49, w1 = 5638.181, w2 = 5521.246, dw = -0.07087, nw = 1651 120612.0023.ec.fits: ap = 50, w1 = 5583.449, w2 = 5467.651, dw = -0.07018, nw = 1651 120612.0023.ec.fits: ap = 51, w1 = 5529.77, w2 = 5415.087, dw = -0.0695, nw = 1651 120612.0023.ec.fits: ap = 52, w1 = 5477.114, w2 = 5363.524, dw = -0.06884, nw = 1651 120612.0023.ec.fits: ap = 53, w1 = 5425.451, w2 = 5312.934, dw = -0.06819, nw = 1651 120612.0023.ec.fits: ap = 54, w1 = 5374.753, w2 = 5263.29, dw = -0.06755, nw = 1651 120612.0023.ec.fits: ap = 55, w1 = 5324.995, w2 = 5214.565, dw = -0.06693, nw = 1651 120612.0023.ec.fits: ap = 56, w1 = 5276.15, w2 = 5166.734, dw = -0.06631, nw = 1651 120612.0023.ec.fits: ap = 57, w1 = 5228.193, w2 = 5119.773, dw = -0.06571, nw = 1651 120612.0023.ec.fits: ap = 58, w1 = 5181.1, w2 = 5073.658, dw = -0.06512, nw = 1651 120612.0023.ec.fits: ap = 59, w1 = 5134.848, w2 = 5028.367, dw = -0.06453, nw = 1651 120612.0023.ec.fits: ap = 60, w1 = 5089.415, w2 = 4983.877, dw = -0.06396, nw = 1651 120612.0023.ec.fits: ap = 61, w1 = 5044.779, w2 = 4940.168, dw = -0.0634, nw = 1651 120612.0023.ec.fits: ap = 62, w1 = 5000.92, w2 = 4897.219, dw = -0.06285, nw = 1651 120612.0023.ec.fits: ap = 63, w1 = 4957.817, w2 = 4855.011, dw = -0.06231, nw = 1651 120612.0023.ec.fits: ap = 64, w1 = 4915.45, w2 = 4813.524, dw = -0.06177, nw = 1651 120612.0023.ec.fits: ap = 65, w1 = 4873.802, w2 = 4772.741, dw = -0.06125, nw = 1651 120612.0023.ec.fits: ap = 66, w1 = 4832.854, w2 = 4732.643, dw = -0.06073, nw = 1651 120612.0023.ec.fits: ap = 67, w1 = 4792.589, w2 = 4693.213, dw = -0.06023, nw = 1651 120612.0023.ec.fits: ap = 68, w1 = 4752.989, w2 = 4654.435, dw = -0.05973, nw = 1651 120612.0023.ec.fits: ap = 69, w1 = 4714.039, w2 = 4616.293, dw = -0.05924, nw = 1651 120612.0023.ec.fits: ap = 70, w1 = 4675.722, w2 = 4578.771, dw = -0.05876, nw = 1651 120612.0023.ec.fits: ap = 71, w1 = 4638.024, w2 = 4541.855, dw = -0.05828, nw = 1651 120612.0023.ec.fits: ap = 72, w1 = 4600.928, w2 = 4505.529, dw = -0.05782, nw = 1651 120612.0023.ec.fits: ap = 73, w1 = 4564.422, w2 = 4469.78, dw = -0.05736, nw = 1651 120612.0023.ec.fits: ap = 74, w1 = 4528.49, w2 = 4434.594, dw = -0.05691, nw = 1651 120612.0023.ec.fits: ap = 75, w1 = 4493.12, w2 = 4399.958, dw = -0.05646, nw = 1651 120612.0023.ec.fits: ap = 76, w1 = 4458.299, w2 = 4365.858, dw = -0.05602, nw = 1651 120612.0023.ec.fits: ap = 77, w1 = 4424.014, w2 = 4332.284, dw = -0.05559, nw = 1651 120612.0023.ec.fits: ap = 78, w1 = 4390.252, w2 = 4299.222, dw = -0.05517, nw = 1651 120612.0023.ec.fits: ap = 79, w1 = 4357.002, w2 = 4266.662, dw = -0.05475, nw = 1651 120612.0023.ec.fits: ap = 80, w1 = 4324.252, w2 = 4234.59, dw = -0.05434, nw = 1651 120612.0023.ec.fits: ap = 81, w1 = 4291.991, w2 = 4202.998, dw = -0.05393, nw = 1651 120612.0023.ec.fits: ap = 82, w1 = 4260.208, w2 = 4171.874, dw = -0.05354, nw = 1651 120612.0023.ec.fits: ap = 83, w1 = 4228.892, w2 = 4141.208, dw = -0.05314, nw = 1651 120612.0023.ec.fits: ap = 84, w1 = 4198.034, w2 = 4110.989, dw = -0.05275, nw = 1651 120612.0023.ec.fits: ap = 85, w1 = 4167.624, w2 = 4081.208, dw = -0.05237, nw = 1651 120612.0023.ec.fits: ap = 86, w1 = 4137.651, w2 = 4051.856, dw = -0.052, nw = 1651 120612.0023.ec.fits: ap = 87, w1 = 4108.106, w2 = 4022.924, dw = -0.05163, nw = 1651 120612.0023.ec.fits: ap = 88, w1 = 4078.981, w2 = 3994.402, dw = -0.05126, nw = 1651 120612.0023.ec.fits: ap = 89, w1 = 4050.266, w2 = 3966.281, dw = -0.0509, nw = 1651 120612.0023.ec.fits: ap = 90, w1 = 4021.952, w2 = 3938.554, dw = -0.05054, nw = 1651 120612.0023.ec.fits: ap = 91, w1 = 3994.033, w2 = 3911.213, dw = -0.05019, nw = 1651 120612.0023.ec.fits: ap = 92, w1 = 3966.498, w2 = 3884.248, dw = -0.04985, nw = 1651 120612.0023.ec.fits: ap = 93, w1 = 3939.341, w2 = 3857.653, dw = -0.04951, nw = 1651 120612.0023.ec.fits: ap = 94, w1 = 3912.554, w2 = 3831.42, dw = -0.04917, nw = 1651 120612.0023.ec.fits: ap = 95, w1 = 3886.128, w2 = 3805.541, dw = -0.04884, nw = 1651 120612.0023.ec.fits: ap = 96, w1 = 3860.058, w2 = 3780.01, dw = -0.04851, nw = 1651 120612.0023.ec.fits: ap = 97, w1 = 3834.335, w2 = 3754.82, dw = -0.04819, nw = 1651 120612.0023.ec.fits: ap = 98, w1 = 3808.953, w2 = 3729.963, dw = -0.04787, nw = 1651 120612.0023.ec.fits: ap = 99, w1 = 3783.906, w2 = 3705.433, dw = -0.04756, nw = 1651 120612.0023.ec.fits: ap = 100, w1 = 3759.186, w2 = 3681.224, dw = -0.04725, nw = 1651 120612.0023.ec.fits: ap = 101, w1 = 3734.787, w2 = 3657.33, dw = -0.04694, nw = 1651 120612.0023.ec.fits: ap = 102, w1 = 3710.703, w2 = 3633.744, dw = -0.04664, nw = 1651 120612.0023.ec.fits: ap = 103, w1 = 3686.928, w2 = 3610.46, dw = -0.04634, nw = 1651 120612.0023.ec.fits: ap = 104, w1 = 3663.456, w2 = 3587.473, dw = -0.04605, nw = 1651 120612.0023.ec.fits: ap = 105, w1 = 3640.282, w2 = 3564.777, dw = -0.04576, nw = 1651 120612.0023.ec.fits: ap = 106, w1 = 3617.399, w2 = 3542.367, dw = -0.04547, nw = 1651 120612.0023.ec.fits: ap = 107, w1 = 3594.803, w2 = 3520.237, dw = -0.04519, nw = 1651 120612.0024.ec.fits: REFSPEC1 = '120612.0004.ec 1.' 120612.0024.ec.fits: ap = 1, w1 = 10649.25, w2 = 10428.21, dw = -0.13396, nw = 1651 120612.0024.ec.fits: ap = 2, w1 = 10455.65, w2 = 10238.63, dw = -0.13153, nw = 1651 120612.0024.ec.fits: ap = 3, w1 = 10268.95, w2 = 10055.81, dw = -0.12918, nw = 1651 120612.0024.ec.fits: ap = 4, w1 = 10088.81, w2 = 9879.409, dw = -0.12691, nw = 1651 120612.0024.ec.fits: ap = 5, w1 = 9914.876, w2 = 9709.09, dw = -0.12472, nw = 1651 120612.0024.ec.fits: ap = 6, w1 = 9746.84, w2 = 9544.544, dw = -0.1226, nw = 1651 120612.0024.ec.fits: ap = 7, w1 = 9584.406, w2 = 9385.483, dw = -0.12056, nw = 1651 120612.0024.ec.fits: ap = 8, w1 = 9427.297, w2 = 9231.638, dw = -0.11858, nw = 1651 120612.0024.ec.fits: ap = 9, w1 = 9275.255, w2 = 9082.755, dw = -0.11667, nw = 1651 120612.0024.ec.fits: ap = 10, w1 = 9128.041, w2 = 8938.598, dw = -0.11481, nw = 1651 120612.0024.ec.fits: ap = 11, w1 = 8985.426, w2 = 8798.947, dw = -0.11302, nw = 1651 120612.0024.ec.fits: ap = 12, w1 = 8847.2, w2 = 8663.592, dw = -0.11128, nw = 1651 120612.0024.ec.fits: ap = 13, w1 = 8713.163, w2 = 8532.339, dw = -0.10959, nw = 1651 120612.0024.ec.fits: ap = 14, w1 = 8583.126, w2 = 8405.004, dw = -0.10795, nw = 1651 120612.0024.ec.fits: ap = 15, w1 = 8456.914, w2 = 8281.414, dw = -0.10636, nw = 1651 120612.0024.ec.fits: ap = 16, w1 = 8334.36, w2 = 8161.406, dw = -0.10482, nw = 1651 120612.0024.ec.fits: ap = 17, w1 = 8215.308, w2 = 8044.828, dw = -0.10332, nw = 1651 120612.0024.ec.fits: ap = 18, w1 = 8099.609, w2 = 7931.533, dw = -0.10186, nw = 1651 120612.0024.ec.fits: ap = 19, w1 = 7987.124, w2 = 7821.385, dw = -0.10045, nw = 1651 120612.0024.ec.fits: ap = 20, w1 = 7877.721, w2 = 7714.255, dw = -0.09907, nw = 1651 120612.0024.ec.fits: ap = 21, w1 = 7771.275, w2 = 7610.02, dw = -0.09773, nw = 1651 120612.0024.ec.fits: ap = 22, w1 = 7667.667, w2 = 7508.565, dw = -0.09643, nw = 1651 120612.0024.ec.fits: ap = 23, w1 = 7566.786, w2 = 7409.78, dw = -0.09516, nw = 1651 120612.0024.ec.fits: ap = 24, w1 = 7468.525, w2 = 7313.56, dw = -0.09392, nw = 1651 120612.0024.ec.fits: ap = 25, w1 = 7372.783, w2 = 7219.808, dw = -0.09271, nw = 1651 120612.0024.ec.fits: ap = 26, w1 = 7279.466, w2 = 7128.429, dw = -0.09154, nw = 1651 120612.0024.ec.fits: ap = 27, w1 = 7188.481, w2 = 7039.335, dw = -0.09039, nw = 1651 120612.0024.ec.fits: ap = 28, w1 = 7099.743, w2 = 6952.441, dw = -0.08927, nw = 1651 120612.0024.ec.fits: ap = 29, w1 = 7013.169, w2 = 6867.666, dw = -0.08818, nw = 1651 120612.0024.ec.fits: ap = 30, w1 = 6928.681, w2 = 6784.934, dw = -0.08712, nw = 1651 120612.0024.ec.fits: ap = 31, w1 = 6846.205, w2 = 6704.171, dw = -0.08608, nw = 1651 120612.0024.ec.fits: ap = 32, w1 = 6765.67, w2 = 6625.309, dw = -0.08507, nw = 1651 120612.0024.ec.fits: ap = 33, w1 = 6687.007, w2 = 6548.281, dw = -0.08408, nw = 1651 120612.0024.ec.fits: ap = 34, w1 = 6610.153, w2 = 6473.024, dw = -0.08311, nw = 1651 120612.0024.ec.fits: ap = 35, w1 = 6535.046, w2 = 6399.477, dw = -0.08216, nw = 1651 120612.0024.ec.fits: ap = 36, w1 = 6461.626, w2 = 6327.583, dw = -0.08124, nw = 1651 120612.0024.ec.fits: ap = 37, w1 = 6389.839, w2 = 6257.287, dw = -0.08033, nw = 1651 120612.0024.ec.fits: ap = 38, w1 = 6319.628, w2 = 6188.536, dw = -0.07945, nw = 1651 120612.0024.ec.fits: ap = 39, w1 = 6250.945, w2 = 6121.279, dw = -0.07859, nw = 1651 120612.0024.ec.fits: ap = 40, w1 = 6183.738, w2 = 6055.469, dw = -0.07774, nw = 1651 120612.0024.ec.fits: ap = 41, w1 = 6117.961, w2 = 5991.059, dw = -0.07691, nw = 1651 120612.0024.ec.fits: ap = 42, w1 = 6053.57, w2 = 5928.005, dw = -0.0761, nw = 1651 120612.0024.ec.fits: ap = 43, w1 = 5990.519, w2 = 5866.265, dw = -0.07531, nw = 1651 120612.0024.ec.fits: ap = 44, w1 = 5928.769, w2 = 5805.797, dw = -0.07453, nw = 1651 120612.0024.ec.fits: ap = 45, w1 = 5868.279, w2 = 5746.564, dw = -0.07377, nw = 1651 120612.0024.ec.fits: ap = 46, w1 = 5809.012, w2 = 5688.528, dw = -0.07302, nw = 1651 120612.0024.ec.fits: ap = 47, w1 = 5750.929, w2 = 5631.652, dw = -0.07229, nw = 1651 120612.0024.ec.fits: ap = 48, w1 = 5693.997, w2 = 5575.902, dw = -0.07157, nw = 1651 120612.0024.ec.fits: ap = 49, w1 = 5638.181, w2 = 5521.246, dw = -0.07087, nw = 1651 120612.0024.ec.fits: ap = 50, w1 = 5583.449, w2 = 5467.651, dw = -0.07018, nw = 1651 120612.0024.ec.fits: ap = 51, w1 = 5529.77, w2 = 5415.087, dw = -0.0695, nw = 1651 120612.0024.ec.fits: ap = 52, w1 = 5477.114, w2 = 5363.524, dw = -0.06884, nw = 1651 120612.0024.ec.fits: ap = 53, w1 = 5425.451, w2 = 5312.934, dw = -0.06819, nw = 1651 120612.0024.ec.fits: ap = 54, w1 = 5374.753, w2 = 5263.29, dw = -0.06755, nw = 1651 120612.0024.ec.fits: ap = 55, w1 = 5324.995, w2 = 5214.565, dw = -0.06693, nw = 1651 120612.0024.ec.fits: ap = 56, w1 = 5276.15, w2 = 5166.734, dw = -0.06631, nw = 1651 120612.0024.ec.fits: ap = 57, w1 = 5228.193, w2 = 5119.773, dw = -0.06571, nw = 1651 120612.0024.ec.fits: ap = 58, w1 = 5181.1, w2 = 5073.658, dw = -0.06512, nw = 1651 120612.0024.ec.fits: ap = 59, w1 = 5134.848, w2 = 5028.367, dw = -0.06453, nw = 1651 120612.0024.ec.fits: ap = 60, w1 = 5089.415, w2 = 4983.877, dw = -0.06396, nw = 1651 120612.0024.ec.fits: ap = 61, w1 = 5044.779, w2 = 4940.168, dw = -0.0634, nw = 1651 120612.0024.ec.fits: ap = 62, w1 = 5000.92, w2 = 4897.219, dw = -0.06285, nw = 1651 120612.0024.ec.fits: ap = 63, w1 = 4957.817, w2 = 4855.011, dw = -0.06231, nw = 1651 120612.0024.ec.fits: ap = 64, w1 = 4915.45, w2 = 4813.524, dw = -0.06177, nw = 1651 120612.0024.ec.fits: ap = 65, w1 = 4873.802, w2 = 4772.741, dw = -0.06125, nw = 1651 120612.0024.ec.fits: ap = 66, w1 = 4832.854, w2 = 4732.643, dw = -0.06073, nw = 1651 120612.0024.ec.fits: ap = 67, w1 = 4792.589, w2 = 4693.213, dw = -0.06023, nw = 1651 120612.0024.ec.fits: ap = 68, w1 = 4752.989, w2 = 4654.435, dw = -0.05973, nw = 1651 120612.0024.ec.fits: ap = 69, w1 = 4714.039, w2 = 4616.293, dw = -0.05924, nw = 1651 120612.0024.ec.fits: ap = 70, w1 = 4675.722, w2 = 4578.771, dw = -0.05876, nw = 1651 120612.0024.ec.fits: ap = 71, w1 = 4638.024, w2 = 4541.855, dw = -0.05828, nw = 1651 120612.0024.ec.fits: ap = 72, w1 = 4600.928, w2 = 4505.529, dw = -0.05782, nw = 1651 120612.0024.ec.fits: ap = 73, w1 = 4564.422, w2 = 4469.78, dw = -0.05736, nw = 1651 120612.0024.ec.fits: ap = 74, w1 = 4528.49, w2 = 4434.594, dw = -0.05691, nw = 1651 120612.0024.ec.fits: ap = 75, w1 = 4493.12, w2 = 4399.958, dw = -0.05646, nw = 1651 120612.0024.ec.fits: ap = 76, w1 = 4458.299, w2 = 4365.858, dw = -0.05602, nw = 1651 120612.0024.ec.fits: ap = 77, w1 = 4424.014, w2 = 4332.284, dw = -0.05559, nw = 1651 120612.0024.ec.fits: ap = 78, w1 = 4390.252, w2 = 4299.222, dw = -0.05517, nw = 1651 120612.0024.ec.fits: ap = 79, w1 = 4357.002, w2 = 4266.662, dw = -0.05475, nw = 1651 120612.0024.ec.fits: ap = 80, w1 = 4324.252, w2 = 4234.59, dw = -0.05434, nw = 1651 120612.0024.ec.fits: ap = 81, w1 = 4291.991, w2 = 4202.998, dw = -0.05393, nw = 1651 120612.0024.ec.fits: ap = 82, w1 = 4260.208, w2 = 4171.874, dw = -0.05354, nw = 1651 120612.0024.ec.fits: ap = 83, w1 = 4228.892, w2 = 4141.208, dw = -0.05314, nw = 1651 120612.0024.ec.fits: ap = 84, w1 = 4198.034, w2 = 4110.989, dw = -0.05275, nw = 1651 120612.0024.ec.fits: ap = 85, w1 = 4167.624, w2 = 4081.208, dw = -0.05237, nw = 1651 120612.0024.ec.fits: ap = 86, w1 = 4137.651, w2 = 4051.856, dw = -0.052, nw = 1651 120612.0024.ec.fits: ap = 87, w1 = 4108.106, w2 = 4022.924, dw = -0.05163, nw = 1651 120612.0024.ec.fits: ap = 88, w1 = 4078.981, w2 = 3994.402, dw = -0.05126, nw = 1651 120612.0024.ec.fits: ap = 89, w1 = 4050.266, w2 = 3966.281, dw = -0.0509, nw = 1651 120612.0024.ec.fits: ap = 90, w1 = 4021.952, w2 = 3938.554, dw = -0.05054, nw = 1651 120612.0024.ec.fits: ap = 91, w1 = 3994.033, w2 = 3911.213, dw = -0.05019, nw = 1651 120612.0024.ec.fits: ap = 92, w1 = 3966.498, w2 = 3884.248, dw = -0.04985, nw = 1651 120612.0024.ec.fits: ap = 93, w1 = 3939.341, w2 = 3857.653, dw = -0.04951, nw = 1651 120612.0024.ec.fits: ap = 94, w1 = 3912.554, w2 = 3831.42, dw = -0.04917, nw = 1651 120612.0024.ec.fits: ap = 95, w1 = 3886.128, w2 = 3805.541, dw = -0.04884, nw = 1651 120612.0024.ec.fits: ap = 96, w1 = 3860.058, w2 = 3780.01, dw = -0.04851, nw = 1651 120612.0024.ec.fits: ap = 97, w1 = 3834.335, w2 = 3754.82, dw = -0.04819, nw = 1651 120612.0024.ec.fits: ap = 98, w1 = 3808.953, w2 = 3729.963, dw = -0.04787, nw = 1651 120612.0024.ec.fits: ap = 99, w1 = 3783.906, w2 = 3705.433, dw = -0.04756, nw = 1651 120612.0024.ec.fits: ap = 100, w1 = 3759.186, w2 = 3681.224, dw = -0.04725, nw = 1651 120612.0024.ec.fits: ap = 101, w1 = 3734.787, w2 = 3657.33, dw = -0.04694, nw = 1651 120612.0024.ec.fits: ap = 102, w1 = 3710.703, w2 = 3633.744, dw = -0.04664, nw = 1651 120612.0024.ec.fits: ap = 103, w1 = 3686.928, w2 = 3610.46, dw = -0.04634, nw = 1651 120612.0024.ec.fits: ap = 104, w1 = 3663.456, w2 = 3587.473, dw = -0.04605, nw = 1651 120612.0024.ec.fits: ap = 105, w1 = 3640.282, w2 = 3564.777, dw = -0.04576, nw = 1651 120612.0024.ec.fits: ap = 106, w1 = 3617.399, w2 = 3542.367, dw = -0.04547, nw = 1651 120612.0024.ec.fits: ap = 107, w1 = 3594.803, w2 = 3520.237, dw = -0.04519, nw = 1651 120612.0025.ec.fits: REFSPEC1 = '120612.0004.ec 1.' 120612.0025.ec.fits: ap = 1, w1 = 10649.25, w2 = 10428.21, dw = -0.13396, nw = 1651 120612.0025.ec.fits: ap = 2, w1 = 10455.65, w2 = 10238.63, dw = -0.13153, nw = 1651 120612.0025.ec.fits: ap = 3, w1 = 10268.95, w2 = 10055.81, dw = -0.12918, nw = 1651 120612.0025.ec.fits: ap = 4, w1 = 10088.81, w2 = 9879.409, dw = -0.12691, nw = 1651 120612.0025.ec.fits: ap = 5, w1 = 9914.876, w2 = 9709.09, dw = -0.12472, nw = 1651 120612.0025.ec.fits: ap = 6, w1 = 9746.84, w2 = 9544.544, dw = -0.1226, nw = 1651 120612.0025.ec.fits: ap = 7, w1 = 9584.406, w2 = 9385.483, dw = -0.12056, nw = 1651 120612.0025.ec.fits: ap = 8, w1 = 9427.297, w2 = 9231.638, dw = -0.11858, nw = 1651 120612.0025.ec.fits: ap = 9, w1 = 9275.255, w2 = 9082.755, dw = -0.11667, nw = 1651 120612.0025.ec.fits: ap = 10, w1 = 9128.041, w2 = 8938.598, dw = -0.11481, nw = 1651 120612.0025.ec.fits: ap = 11, w1 = 8985.426, w2 = 8798.947, dw = -0.11302, nw = 1651 120612.0025.ec.fits: ap = 12, w1 = 8847.2, w2 = 8663.592, dw = -0.11128, nw = 1651 120612.0025.ec.fits: ap = 13, w1 = 8713.163, w2 = 8532.339, dw = -0.10959, nw = 1651 120612.0025.ec.fits: ap = 14, w1 = 8583.126, w2 = 8405.004, dw = -0.10795, nw = 1651 120612.0025.ec.fits: ap = 15, w1 = 8456.914, w2 = 8281.414, dw = -0.10636, nw = 1651 120612.0025.ec.fits: ap = 16, w1 = 8334.36, w2 = 8161.406, dw = -0.10482, nw = 1651 120612.0025.ec.fits: ap = 17, w1 = 8215.308, w2 = 8044.828, dw = -0.10332, nw = 1651 120612.0025.ec.fits: ap = 18, w1 = 8099.609, w2 = 7931.533, dw = -0.10186, nw = 1651 120612.0025.ec.fits: ap = 19, w1 = 7987.124, w2 = 7821.385, dw = -0.10045, nw = 1651 120612.0025.ec.fits: ap = 20, w1 = 7877.721, w2 = 7714.255, dw = -0.09907, nw = 1651 120612.0025.ec.fits: ap = 21, w1 = 7771.275, w2 = 7610.02, dw = -0.09773, nw = 1651 120612.0025.ec.fits: ap = 22, w1 = 7667.667, w2 = 7508.565, dw = -0.09643, nw = 1651 120612.0025.ec.fits: ap = 23, w1 = 7566.786, w2 = 7409.78, dw = -0.09516, nw = 1651 120612.0025.ec.fits: ap = 24, w1 = 7468.525, w2 = 7313.56, dw = -0.09392, nw = 1651 120612.0025.ec.fits: ap = 25, w1 = 7372.783, w2 = 7219.808, dw = -0.09271, nw = 1651 120612.0025.ec.fits: ap = 26, w1 = 7279.466, w2 = 7128.429, dw = -0.09154, nw = 1651 120612.0025.ec.fits: ap = 27, w1 = 7188.481, w2 = 7039.335, dw = -0.09039, nw = 1651 120612.0025.ec.fits: ap = 28, w1 = 7099.743, w2 = 6952.441, dw = -0.08927, nw = 1651 120612.0025.ec.fits: ap = 29, w1 = 7013.169, w2 = 6867.666, dw = -0.08818, nw = 1651 120612.0025.ec.fits: ap = 30, w1 = 6928.681, w2 = 6784.934, dw = -0.08712, nw = 1651 120612.0025.ec.fits: ap = 31, w1 = 6846.205, w2 = 6704.171, dw = -0.08608, nw = 1651 120612.0025.ec.fits: ap = 32, w1 = 6765.67, w2 = 6625.309, dw = -0.08507, nw = 1651 120612.0025.ec.fits: ap = 33, w1 = 6687.007, w2 = 6548.281, dw = -0.08408, nw = 1651 120612.0025.ec.fits: ap = 34, w1 = 6610.153, w2 = 6473.024, dw = -0.08311, nw = 1651 120612.0025.ec.fits: ap = 35, w1 = 6535.046, w2 = 6399.477, dw = -0.08216, nw = 1651 120612.0025.ec.fits: ap = 36, w1 = 6461.626, w2 = 6327.583, dw = -0.08124, nw = 1651 120612.0025.ec.fits: ap = 37, w1 = 6389.839, w2 = 6257.287, dw = -0.08033, nw = 1651 120612.0025.ec.fits: ap = 38, w1 = 6319.628, w2 = 6188.536, dw = -0.07945, nw = 1651 120612.0025.ec.fits: ap = 39, w1 = 6250.945, w2 = 6121.279, dw = -0.07859, nw = 1651 120612.0025.ec.fits: ap = 40, w1 = 6183.738, w2 = 6055.469, dw = -0.07774, nw = 1651 120612.0025.ec.fits: ap = 41, w1 = 6117.961, w2 = 5991.059, dw = -0.07691, nw = 1651 120612.0025.ec.fits: ap = 42, w1 = 6053.57, w2 = 5928.005, dw = -0.0761, nw = 1651 120612.0025.ec.fits: ap = 43, w1 = 5990.519, w2 = 5866.265, dw = -0.07531, nw = 1651 120612.0025.ec.fits: ap = 44, w1 = 5928.769, w2 = 5805.797, dw = -0.07453, nw = 1651 120612.0025.ec.fits: ap = 45, w1 = 5868.279, w2 = 5746.564, dw = -0.07377, nw = 1651 120612.0025.ec.fits: ap = 46, w1 = 5809.012, w2 = 5688.528, dw = -0.07302, nw = 1651 120612.0025.ec.fits: ap = 47, w1 = 5750.929, w2 = 5631.652, dw = -0.07229, nw = 1651 120612.0025.ec.fits: ap = 48, w1 = 5693.997, w2 = 5575.902, dw = -0.07157, nw = 1651 120612.0025.ec.fits: ap = 49, w1 = 5638.181, w2 = 5521.246, dw = -0.07087, nw = 1651 120612.0025.ec.fits: ap = 50, w1 = 5583.449, w2 = 5467.651, dw = -0.07018, nw = 1651 120612.0025.ec.fits: ap = 51, w1 = 5529.77, w2 = 5415.087, dw = -0.0695, nw = 1651 120612.0025.ec.fits: ap = 52, w1 = 5477.114, w2 = 5363.524, dw = -0.06884, nw = 1651 120612.0025.ec.fits: ap = 53, w1 = 5425.451, w2 = 5312.934, dw = -0.06819, nw = 1651 120612.0025.ec.fits: ap = 54, w1 = 5374.753, w2 = 5263.29, dw = -0.06755, nw = 1651 120612.0025.ec.fits: ap = 55, w1 = 5324.995, w2 = 5214.565, dw = -0.06693, nw = 1651 120612.0025.ec.fits: ap = 56, w1 = 5276.15, w2 = 5166.734, dw = -0.06631, nw = 1651 120612.0025.ec.fits: ap = 57, w1 = 5228.193, w2 = 5119.773, dw = -0.06571, nw = 1651 120612.0025.ec.fits: ap = 58, w1 = 5181.1, w2 = 5073.658, dw = -0.06512, nw = 1651 120612.0025.ec.fits: ap = 59, w1 = 5134.848, w2 = 5028.367, dw = -0.06453, nw = 1651 120612.0025.ec.fits: ap = 60, w1 = 5089.415, w2 = 4983.877, dw = -0.06396, nw = 1651 120612.0025.ec.fits: ap = 61, w1 = 5044.779, w2 = 4940.168, dw = -0.0634, nw = 1651 120612.0025.ec.fits: ap = 62, w1 = 5000.92, w2 = 4897.219, dw = -0.06285, nw = 1651 120612.0025.ec.fits: ap = 63, w1 = 4957.817, w2 = 4855.011, dw = -0.06231, nw = 1651 120612.0025.ec.fits: ap = 64, w1 = 4915.45, w2 = 4813.524, dw = -0.06177, nw = 1651 120612.0025.ec.fits: ap = 65, w1 = 4873.802, w2 = 4772.741, dw = -0.06125, nw = 1651 120612.0025.ec.fits: ap = 66, w1 = 4832.854, w2 = 4732.643, dw = -0.06073, nw = 1651 120612.0025.ec.fits: ap = 67, w1 = 4792.589, w2 = 4693.213, dw = -0.06023, nw = 1651 120612.0025.ec.fits: ap = 68, w1 = 4752.989, w2 = 4654.435, dw = -0.05973, nw = 1651 120612.0025.ec.fits: ap = 69, w1 = 4714.039, w2 = 4616.293, dw = -0.05924, nw = 1651 120612.0025.ec.fits: ap = 70, w1 = 4675.722, w2 = 4578.771, dw = -0.05876, nw = 1651 120612.0025.ec.fits: ap = 71, w1 = 4638.024, w2 = 4541.855, dw = -0.05828, nw = 1651 120612.0025.ec.fits: ap = 72, w1 = 4600.928, w2 = 4505.529, dw = -0.05782, nw = 1651 120612.0025.ec.fits: ap = 73, w1 = 4564.422, w2 = 4469.78, dw = -0.05736, nw = 1651 120612.0025.ec.fits: ap = 74, w1 = 4528.49, w2 = 4434.594, dw = -0.05691, nw = 1651 120612.0025.ec.fits: ap = 75, w1 = 4493.12, w2 = 4399.958, dw = -0.05646, nw = 1651 120612.0025.ec.fits: ap = 76, w1 = 4458.299, w2 = 4365.858, dw = -0.05602, nw = 1651 120612.0025.ec.fits: ap = 77, w1 = 4424.014, w2 = 4332.284, dw = -0.05559, nw = 1651 120612.0025.ec.fits: ap = 78, w1 = 4390.252, w2 = 4299.222, dw = -0.05517, nw = 1651 120612.0025.ec.fits: ap = 79, w1 = 4357.002, w2 = 4266.662, dw = -0.05475, nw = 1651 120612.0025.ec.fits: ap = 80, w1 = 4324.252, w2 = 4234.59, dw = -0.05434, nw = 1651 120612.0025.ec.fits: ap = 81, w1 = 4291.991, w2 = 4202.998, dw = -0.05393, nw = 1651 120612.0025.ec.fits: ap = 82, w1 = 4260.208, w2 = 4171.874, dw = -0.05354, nw = 1651 120612.0025.ec.fits: ap = 83, w1 = 4228.892, w2 = 4141.208, dw = -0.05314, nw = 1651 120612.0025.ec.fits: ap = 84, w1 = 4198.034, w2 = 4110.989, dw = -0.05275, nw = 1651 120612.0025.ec.fits: ap = 85, w1 = 4167.624, w2 = 4081.208, dw = -0.05237, nw = 1651 120612.0025.ec.fits: ap = 86, w1 = 4137.651, w2 = 4051.856, dw = -0.052, nw = 1651 120612.0025.ec.fits: ap = 87, w1 = 4108.106, w2 = 4022.924, dw = -0.05163, nw = 1651 120612.0025.ec.fits: ap = 88, w1 = 4078.981, w2 = 3994.402, dw = -0.05126, nw = 1651 120612.0025.ec.fits: ap = 89, w1 = 4050.266, w2 = 3966.281, dw = -0.0509, nw = 1651 120612.0025.ec.fits: ap = 90, w1 = 4021.952, w2 = 3938.554, dw = -0.05054, nw = 1651 120612.0025.ec.fits: ap = 91, w1 = 3994.033, w2 = 3911.213, dw = -0.05019, nw = 1651 120612.0025.ec.fits: ap = 92, w1 = 3966.498, w2 = 3884.248, dw = -0.04985, nw = 1651 120612.0025.ec.fits: ap = 93, w1 = 3939.341, w2 = 3857.653, dw = -0.04951, nw = 1651 120612.0025.ec.fits: ap = 94, w1 = 3912.554, w2 = 3831.42, dw = -0.04917, nw = 1651 120612.0025.ec.fits: ap = 95, w1 = 3886.128, w2 = 3805.541, dw = -0.04884, nw = 1651 120612.0025.ec.fits: ap = 96, w1 = 3860.058, w2 = 3780.01, dw = -0.04851, nw = 1651 120612.0025.ec.fits: ap = 97, w1 = 3834.335, w2 = 3754.82, dw = -0.04819, nw = 1651 120612.0025.ec.fits: ap = 98, w1 = 3808.953, w2 = 3729.963, dw = -0.04787, nw = 1651 120612.0025.ec.fits: ap = 99, w1 = 3783.906, w2 = 3705.433, dw = -0.04756, nw = 1651 120612.0025.ec.fits: ap = 100, w1 = 3759.186, w2 = 3681.224, dw = -0.04725, nw = 1651 120612.0025.ec.fits: ap = 101, w1 = 3734.787, w2 = 3657.33, dw = -0.04694, nw = 1651 120612.0025.ec.fits: ap = 102, w1 = 3710.703, w2 = 3633.744, dw = -0.04664, nw = 1651 120612.0025.ec.fits: ap = 103, w1 = 3686.928, w2 = 3610.46, dw = -0.04634, nw = 1651 120612.0025.ec.fits: ap = 104, w1 = 3663.456, w2 = 3587.473, dw = -0.04605, nw = 1651 120612.0025.ec.fits: ap = 105, w1 = 3640.282, w2 = 3564.777, dw = -0.04576, nw = 1651 120612.0025.ec.fits: ap = 106, w1 = 3617.399, w2 = 3542.367, dw = -0.04547, nw = 1651 120612.0025.ec.fits: ap = 107, w1 = 3594.803, w2 = 3520.237, dw = -0.04519, nw = 1651 120612.0026.ec.fits: REFSPEC1 = '120612.0004.ec 1.' 120612.0026.ec.fits: ap = 1, w1 = 10649.25, w2 = 10428.21, dw = -0.13396, nw = 1651 120612.0026.ec.fits: ap = 2, w1 = 10455.65, w2 = 10238.63, dw = -0.13153, nw = 1651 120612.0026.ec.fits: ap = 3, w1 = 10268.95, w2 = 10055.81, dw = -0.12918, nw = 1651 120612.0026.ec.fits: ap = 4, w1 = 10088.81, w2 = 9879.409, dw = -0.12691, nw = 1651 120612.0026.ec.fits: ap = 5, w1 = 9914.876, w2 = 9709.09, dw = -0.12472, nw = 1651 120612.0026.ec.fits: ap = 6, w1 = 9746.84, w2 = 9544.544, dw = -0.1226, nw = 1651 120612.0026.ec.fits: ap = 7, w1 = 9584.406, w2 = 9385.483, dw = -0.12056, nw = 1651 120612.0026.ec.fits: ap = 8, w1 = 9427.297, w2 = 9231.638, dw = -0.11858, nw = 1651 120612.0026.ec.fits: ap = 9, w1 = 9275.255, w2 = 9082.755, dw = -0.11667, nw = 1651 120612.0026.ec.fits: ap = 10, w1 = 9128.041, w2 = 8938.598, dw = -0.11481, nw = 1651 120612.0026.ec.fits: ap = 11, w1 = 8985.426, w2 = 8798.947, dw = -0.11302, nw = 1651 120612.0026.ec.fits: ap = 12, w1 = 8847.2, w2 = 8663.592, dw = -0.11128, nw = 1651 120612.0026.ec.fits: ap = 13, w1 = 8713.163, w2 = 8532.339, dw = -0.10959, nw = 1651 120612.0026.ec.fits: ap = 14, w1 = 8583.126, w2 = 8405.004, dw = -0.10795, nw = 1651 120612.0026.ec.fits: ap = 15, w1 = 8456.914, w2 = 8281.414, dw = -0.10636, nw = 1651 120612.0026.ec.fits: ap = 16, w1 = 8334.36, w2 = 8161.406, dw = -0.10482, nw = 1651 120612.0026.ec.fits: ap = 17, w1 = 8215.308, w2 = 8044.828, dw = -0.10332, nw = 1651 120612.0026.ec.fits: ap = 18, w1 = 8099.609, w2 = 7931.533, dw = -0.10186, nw = 1651 120612.0026.ec.fits: ap = 19, w1 = 7987.124, w2 = 7821.385, dw = -0.10045, nw = 1651 120612.0026.ec.fits: ap = 20, w1 = 7877.721, w2 = 7714.255, dw = -0.09907, nw = 1651 120612.0026.ec.fits: ap = 21, w1 = 7771.275, w2 = 7610.02, dw = -0.09773, nw = 1651 120612.0026.ec.fits: ap = 22, w1 = 7667.667, w2 = 7508.565, dw = -0.09643, nw = 1651 120612.0026.ec.fits: ap = 23, w1 = 7566.786, w2 = 7409.78, dw = -0.09516, nw = 1651 120612.0026.ec.fits: ap = 24, w1 = 7468.525, w2 = 7313.56, dw = -0.09392, nw = 1651 120612.0026.ec.fits: ap = 25, w1 = 7372.783, w2 = 7219.808, dw = -0.09271, nw = 1651 120612.0026.ec.fits: ap = 26, w1 = 7279.466, w2 = 7128.429, dw = -0.09154, nw = 1651 120612.0026.ec.fits: ap = 27, w1 = 7188.481, w2 = 7039.335, dw = -0.09039, nw = 1651 120612.0026.ec.fits: ap = 28, w1 = 7099.743, w2 = 6952.441, dw = -0.08927, nw = 1651 120612.0026.ec.fits: ap = 29, w1 = 7013.169, w2 = 6867.666, dw = -0.08818, nw = 1651 120612.0026.ec.fits: ap = 30, w1 = 6928.681, w2 = 6784.934, dw = -0.08712, nw = 1651 120612.0026.ec.fits: ap = 31, w1 = 6846.205, w2 = 6704.171, dw = -0.08608, nw = 1651 120612.0026.ec.fits: ap = 32, w1 = 6765.67, w2 = 6625.309, dw = -0.08507, nw = 1651 120612.0026.ec.fits: ap = 33, w1 = 6687.007, w2 = 6548.281, dw = -0.08408, nw = 1651 120612.0026.ec.fits: ap = 34, w1 = 6610.153, w2 = 6473.024, dw = -0.08311, nw = 1651 120612.0026.ec.fits: ap = 35, w1 = 6535.046, w2 = 6399.477, dw = -0.08216, nw = 1651 120612.0026.ec.fits: ap = 36, w1 = 6461.626, w2 = 6327.583, dw = -0.08124, nw = 1651 120612.0026.ec.fits: ap = 37, w1 = 6389.839, w2 = 6257.287, dw = -0.08033, nw = 1651 120612.0026.ec.fits: ap = 38, w1 = 6319.628, w2 = 6188.536, dw = -0.07945, nw = 1651 120612.0026.ec.fits: ap = 39, w1 = 6250.945, w2 = 6121.279, dw = -0.07859, nw = 1651 120612.0026.ec.fits: ap = 40, w1 = 6183.738, w2 = 6055.469, dw = -0.07774, nw = 1651 120612.0026.ec.fits: ap = 41, w1 = 6117.961, w2 = 5991.059, dw = -0.07691, nw = 1651 120612.0026.ec.fits: ap = 42, w1 = 6053.57, w2 = 5928.005, dw = -0.0761, nw = 1651 120612.0026.ec.fits: ap = 43, w1 = 5990.519, w2 = 5866.265, dw = -0.07531, nw = 1651 120612.0026.ec.fits: ap = 44, w1 = 5928.769, w2 = 5805.797, dw = -0.07453, nw = 1651 120612.0026.ec.fits: ap = 45, w1 = 5868.279, w2 = 5746.564, dw = -0.07377, nw = 1651 120612.0026.ec.fits: ap = 46, w1 = 5809.012, w2 = 5688.528, dw = -0.07302, nw = 1651 120612.0026.ec.fits: ap = 47, w1 = 5750.929, w2 = 5631.652, dw = -0.07229, nw = 1651 120612.0026.ec.fits: ap = 48, w1 = 5693.997, w2 = 5575.902, dw = -0.07157, nw = 1651 120612.0026.ec.fits: ap = 49, w1 = 5638.181, w2 = 5521.246, dw = -0.07087, nw = 1651 120612.0026.ec.fits: ap = 50, w1 = 5583.449, w2 = 5467.651, dw = -0.07018, nw = 1651 120612.0026.ec.fits: ap = 51, w1 = 5529.77, w2 = 5415.087, dw = -0.0695, nw = 1651 120612.0026.ec.fits: ap = 52, w1 = 5477.114, w2 = 5363.524, dw = -0.06884, nw = 1651 120612.0026.ec.fits: ap = 53, w1 = 5425.451, w2 = 5312.934, dw = -0.06819, nw = 1651 120612.0026.ec.fits: ap = 54, w1 = 5374.753, w2 = 5263.29, dw = -0.06755, nw = 1651 120612.0026.ec.fits: ap = 55, w1 = 5324.995, w2 = 5214.565, dw = -0.06693, nw = 1651 120612.0026.ec.fits: ap = 56, w1 = 5276.15, w2 = 5166.734, dw = -0.06631, nw = 1651 120612.0026.ec.fits: ap = 57, w1 = 5228.193, w2 = 5119.773, dw = -0.06571, nw = 1651 120612.0026.ec.fits: ap = 58, w1 = 5181.1, w2 = 5073.658, dw = -0.06512, nw = 1651 120612.0026.ec.fits: ap = 59, w1 = 5134.848, w2 = 5028.367, dw = -0.06453, nw = 1651 120612.0026.ec.fits: ap = 60, w1 = 5089.415, w2 = 4983.877, dw = -0.06396, nw = 1651 120612.0026.ec.fits: ap = 61, w1 = 5044.779, w2 = 4940.168, dw = -0.0634, nw = 1651 120612.0026.ec.fits: ap = 62, w1 = 5000.92, w2 = 4897.219, dw = -0.06285, nw = 1651 120612.0026.ec.fits: ap = 63, w1 = 4957.817, w2 = 4855.011, dw = -0.06231, nw = 1651 120612.0026.ec.fits: ap = 64, w1 = 4915.45, w2 = 4813.524, dw = -0.06177, nw = 1651 120612.0026.ec.fits: ap = 65, w1 = 4873.802, w2 = 4772.741, dw = -0.06125, nw = 1651 120612.0026.ec.fits: ap = 66, w1 = 4832.854, w2 = 4732.643, dw = -0.06073, nw = 1651 120612.0026.ec.fits: ap = 67, w1 = 4792.589, w2 = 4693.213, dw = -0.06023, nw = 1651 120612.0026.ec.fits: ap = 68, w1 = 4752.989, w2 = 4654.435, dw = -0.05973, nw = 1651 120612.0026.ec.fits: ap = 69, w1 = 4714.039, w2 = 4616.293, dw = -0.05924, nw = 1651 120612.0026.ec.fits: ap = 70, w1 = 4675.722, w2 = 4578.771, dw = -0.05876, nw = 1651 120612.0026.ec.fits: ap = 71, w1 = 4638.024, w2 = 4541.855, dw = -0.05828, nw = 1651 120612.0026.ec.fits: ap = 72, w1 = 4600.928, w2 = 4505.529, dw = -0.05782, nw = 1651 120612.0026.ec.fits: ap = 73, w1 = 4564.422, w2 = 4469.78, dw = -0.05736, nw = 1651 120612.0026.ec.fits: ap = 74, w1 = 4528.49, w2 = 4434.594, dw = -0.05691, nw = 1651 120612.0026.ec.fits: ap = 75, w1 = 4493.12, w2 = 4399.958, dw = -0.05646, nw = 1651 120612.0026.ec.fits: ap = 76, w1 = 4458.299, w2 = 4365.858, dw = -0.05602, nw = 1651 120612.0026.ec.fits: ap = 77, w1 = 4424.014, w2 = 4332.284, dw = -0.05559, nw = 1651 120612.0026.ec.fits: ap = 78, w1 = 4390.252, w2 = 4299.222, dw = -0.05517, nw = 1651 120612.0026.ec.fits: ap = 79, w1 = 4357.002, w2 = 4266.662, dw = -0.05475, nw = 1651 120612.0026.ec.fits: ap = 80, w1 = 4324.252, w2 = 4234.59, dw = -0.05434, nw = 1651 120612.0026.ec.fits: ap = 81, w1 = 4291.991, w2 = 4202.998, dw = -0.05393, nw = 1651 120612.0026.ec.fits: ap = 82, w1 = 4260.208, w2 = 4171.874, dw = -0.05354, nw = 1651 120612.0026.ec.fits: ap = 83, w1 = 4228.892, w2 = 4141.208, dw = -0.05314, nw = 1651 120612.0026.ec.fits: ap = 84, w1 = 4198.034, w2 = 4110.989, dw = -0.05275, nw = 1651 120612.0026.ec.fits: ap = 85, w1 = 4167.624, w2 = 4081.208, dw = -0.05237, nw = 1651 120612.0026.ec.fits: ap = 86, w1 = 4137.651, w2 = 4051.856, dw = -0.052, nw = 1651 120612.0026.ec.fits: ap = 87, w1 = 4108.106, w2 = 4022.924, dw = -0.05163, nw = 1651 120612.0026.ec.fits: ap = 88, w1 = 4078.981, w2 = 3994.402, dw = -0.05126, nw = 1651 120612.0026.ec.fits: ap = 89, w1 = 4050.266, w2 = 3966.281, dw = -0.0509, nw = 1651 120612.0026.ec.fits: ap = 90, w1 = 4021.952, w2 = 3938.554, dw = -0.05054, nw = 1651 120612.0026.ec.fits: ap = 91, w1 = 3994.033, w2 = 3911.213, dw = -0.05019, nw = 1651 120612.0026.ec.fits: ap = 92, w1 = 3966.498, w2 = 3884.248, dw = -0.04985, nw = 1651 120612.0026.ec.fits: ap = 93, w1 = 3939.341, w2 = 3857.653, dw = -0.04951, nw = 1651 120612.0026.ec.fits: ap = 94, w1 = 3912.554, w2 = 3831.42, dw = -0.04917, nw = 1651 120612.0026.ec.fits: ap = 95, w1 = 3886.128, w2 = 3805.541, dw = -0.04884, nw = 1651 120612.0026.ec.fits: ap = 96, w1 = 3860.058, w2 = 3780.01, dw = -0.04851, nw = 1651 120612.0026.ec.fits: ap = 97, w1 = 3834.335, w2 = 3754.82, dw = -0.04819, nw = 1651 120612.0026.ec.fits: ap = 98, w1 = 3808.953, w2 = 3729.963, dw = -0.04787, nw = 1651 120612.0026.ec.fits: ap = 99, w1 = 3783.906, w2 = 3705.433, dw = -0.04756, nw = 1651 120612.0026.ec.fits: ap = 100, w1 = 3759.186, w2 = 3681.224, dw = -0.04725, nw = 1651 120612.0026.ec.fits: ap = 101, w1 = 3734.787, w2 = 3657.33, dw = -0.04694, nw = 1651 120612.0026.ec.fits: ap = 102, w1 = 3710.703, w2 = 3633.744, dw = -0.04664, nw = 1651 120612.0026.ec.fits: ap = 103, w1 = 3686.928, w2 = 3610.46, dw = -0.04634, nw = 1651 120612.0026.ec.fits: ap = 104, w1 = 3663.456, w2 = 3587.473, dw = -0.04605, nw = 1651 120612.0026.ec.fits: ap = 105, w1 = 3640.282, w2 = 3564.777, dw = -0.04576, nw = 1651 120612.0026.ec.fits: ap = 106, w1 = 3617.399, w2 = 3542.367, dw = -0.04547, nw = 1651 120612.0026.ec.fits: ap = 107, w1 = 3594.803, w2 = 3520.237, dw = -0.04519, nw = 1651 120612.0027.ec.fits: REFSPEC1 = '120612.0004.ec 1.' 120612.0027.ec.fits: ap = 1, w1 = 10649.25, w2 = 10428.21, dw = -0.13396, nw = 1651 120612.0027.ec.fits: ap = 2, w1 = 10455.65, w2 = 10238.63, dw = -0.13153, nw = 1651 120612.0027.ec.fits: ap = 3, w1 = 10268.95, w2 = 10055.81, dw = -0.12918, nw = 1651 120612.0027.ec.fits: ap = 4, w1 = 10088.81, w2 = 9879.409, dw = -0.12691, nw = 1651 120612.0027.ec.fits: ap = 5, w1 = 9914.876, w2 = 9709.09, dw = -0.12472, nw = 1651 120612.0027.ec.fits: ap = 6, w1 = 9746.84, w2 = 9544.544, dw = -0.1226, nw = 1651 120612.0027.ec.fits: ap = 7, w1 = 9584.406, w2 = 9385.483, dw = -0.12056, nw = 1651 120612.0027.ec.fits: ap = 8, w1 = 9427.297, w2 = 9231.638, dw = -0.11858, nw = 1651 120612.0027.ec.fits: ap = 9, w1 = 9275.255, w2 = 9082.755, dw = -0.11667, nw = 1651 120612.0027.ec.fits: ap = 10, w1 = 9128.041, w2 = 8938.598, dw = -0.11481, nw = 1651 120612.0027.ec.fits: ap = 11, w1 = 8985.426, w2 = 8798.947, dw = -0.11302, nw = 1651 120612.0027.ec.fits: ap = 12, w1 = 8847.2, w2 = 8663.592, dw = -0.11128, nw = 1651 120612.0027.ec.fits: ap = 13, w1 = 8713.163, w2 = 8532.339, dw = -0.10959, nw = 1651 120612.0027.ec.fits: ap = 14, w1 = 8583.126, w2 = 8405.004, dw = -0.10795, nw = 1651 120612.0027.ec.fits: ap = 15, w1 = 8456.914, w2 = 8281.414, dw = -0.10636, nw = 1651 120612.0027.ec.fits: ap = 16, w1 = 8334.36, w2 = 8161.406, dw = -0.10482, nw = 1651 120612.0027.ec.fits: ap = 17, w1 = 8215.308, w2 = 8044.828, dw = -0.10332, nw = 1651 120612.0027.ec.fits: ap = 18, w1 = 8099.609, w2 = 7931.533, dw = -0.10186, nw = 1651 120612.0027.ec.fits: ap = 19, w1 = 7987.124, w2 = 7821.385, dw = -0.10045, nw = 1651 120612.0027.ec.fits: ap = 20, w1 = 7877.721, w2 = 7714.255, dw = -0.09907, nw = 1651 120612.0027.ec.fits: ap = 21, w1 = 7771.275, w2 = 7610.02, dw = -0.09773, nw = 1651 120612.0027.ec.fits: ap = 22, w1 = 7667.667, w2 = 7508.565, dw = -0.09643, nw = 1651 120612.0027.ec.fits: ap = 23, w1 = 7566.786, w2 = 7409.78, dw = -0.09516, nw = 1651 120612.0027.ec.fits: ap = 24, w1 = 7468.525, w2 = 7313.56, dw = -0.09392, nw = 1651 120612.0027.ec.fits: ap = 25, w1 = 7372.783, w2 = 7219.808, dw = -0.09271, nw = 1651 120612.0027.ec.fits: ap = 26, w1 = 7279.466, w2 = 7128.429, dw = -0.09154, nw = 1651 120612.0027.ec.fits: ap = 27, w1 = 7188.481, w2 = 7039.335, dw = -0.09039, nw = 1651 120612.0027.ec.fits: ap = 28, w1 = 7099.743, w2 = 6952.441, dw = -0.08927, nw = 1651 120612.0027.ec.fits: ap = 29, w1 = 7013.169, w2 = 6867.666, dw = -0.08818, nw = 1651 120612.0027.ec.fits: ap = 30, w1 = 6928.681, w2 = 6784.934, dw = -0.08712, nw = 1651 120612.0027.ec.fits: ap = 31, w1 = 6846.205, w2 = 6704.171, dw = -0.08608, nw = 1651 120612.0027.ec.fits: ap = 32, w1 = 6765.67, w2 = 6625.309, dw = -0.08507, nw = 1651 120612.0027.ec.fits: ap = 33, w1 = 6687.007, w2 = 6548.281, dw = -0.08408, nw = 1651 120612.0027.ec.fits: ap = 34, w1 = 6610.153, w2 = 6473.024, dw = -0.08311, nw = 1651 120612.0027.ec.fits: ap = 35, w1 = 6535.046, w2 = 6399.477, dw = -0.08216, nw = 1651 120612.0027.ec.fits: ap = 36, w1 = 6461.626, w2 = 6327.583, dw = -0.08124, nw = 1651 120612.0027.ec.fits: ap = 37, w1 = 6389.839, w2 = 6257.287, dw = -0.08033, nw = 1651 120612.0027.ec.fits: ap = 38, w1 = 6319.628, w2 = 6188.536, dw = -0.07945, nw = 1651 120612.0027.ec.fits: ap = 39, w1 = 6250.945, w2 = 6121.279, dw = -0.07859, nw = 1651 120612.0027.ec.fits: ap = 40, w1 = 6183.738, w2 = 6055.469, dw = -0.07774, nw = 1651 120612.0027.ec.fits: ap = 41, w1 = 6117.961, w2 = 5991.059, dw = -0.07691, nw = 1651 120612.0027.ec.fits: ap = 42, w1 = 6053.57, w2 = 5928.005, dw = -0.0761, nw = 1651 120612.0027.ec.fits: ap = 43, w1 = 5990.519, w2 = 5866.265, dw = -0.07531, nw = 1651 120612.0027.ec.fits: ap = 44, w1 = 5928.769, w2 = 5805.797, dw = -0.07453, nw = 1651 120612.0027.ec.fits: ap = 45, w1 = 5868.279, w2 = 5746.564, dw = -0.07377, nw = 1651 120612.0027.ec.fits: ap = 46, w1 = 5809.012, w2 = 5688.528, dw = -0.07302, nw = 1651 120612.0027.ec.fits: ap = 47, w1 = 5750.929, w2 = 5631.652, dw = -0.07229, nw = 1651 120612.0027.ec.fits: ap = 48, w1 = 5693.997, w2 = 5575.902, dw = -0.07157, nw = 1651 120612.0027.ec.fits: ap = 49, w1 = 5638.181, w2 = 5521.246, dw = -0.07087, nw = 1651 120612.0027.ec.fits: ap = 50, w1 = 5583.449, w2 = 5467.651, dw = -0.07018, nw = 1651 120612.0027.ec.fits: ap = 51, w1 = 5529.77, w2 = 5415.087, dw = -0.0695, nw = 1651 120612.0027.ec.fits: ap = 52, w1 = 5477.114, w2 = 5363.524, dw = -0.06884, nw = 1651 120612.0027.ec.fits: ap = 53, w1 = 5425.451, w2 = 5312.934, dw = -0.06819, nw = 1651 120612.0027.ec.fits: ap = 54, w1 = 5374.753, w2 = 5263.29, dw = -0.06755, nw = 1651 120612.0027.ec.fits: ap = 55, w1 = 5324.995, w2 = 5214.565, dw = -0.06693, nw = 1651 120612.0027.ec.fits: ap = 56, w1 = 5276.15, w2 = 5166.734, dw = -0.06631, nw = 1651 120612.0027.ec.fits: ap = 57, w1 = 5228.193, w2 = 5119.773, dw = -0.06571, nw = 1651 120612.0027.ec.fits: ap = 58, w1 = 5181.1, w2 = 5073.658, dw = -0.06512, nw = 1651 120612.0027.ec.fits: ap = 59, w1 = 5134.848, w2 = 5028.367, dw = -0.06453, nw = 1651 120612.0027.ec.fits: ap = 60, w1 = 5089.415, w2 = 4983.877, dw = -0.06396, nw = 1651 120612.0027.ec.fits: ap = 61, w1 = 5044.779, w2 = 4940.168, dw = -0.0634, nw = 1651 120612.0027.ec.fits: ap = 62, w1 = 5000.92, w2 = 4897.219, dw = -0.06285, nw = 1651 120612.0027.ec.fits: ap = 63, w1 = 4957.817, w2 = 4855.011, dw = -0.06231, nw = 1651 120612.0027.ec.fits: ap = 64, w1 = 4915.45, w2 = 4813.524, dw = -0.06177, nw = 1651 120612.0027.ec.fits: ap = 65, w1 = 4873.802, w2 = 4772.741, dw = -0.06125, nw = 1651 120612.0027.ec.fits: ap = 66, w1 = 4832.854, w2 = 4732.643, dw = -0.06073, nw = 1651 120612.0027.ec.fits: ap = 67, w1 = 4792.589, w2 = 4693.213, dw = -0.06023, nw = 1651 120612.0027.ec.fits: ap = 68, w1 = 4752.989, w2 = 4654.435, dw = -0.05973, nw = 1651 120612.0027.ec.fits: ap = 69, w1 = 4714.039, w2 = 4616.293, dw = -0.05924, nw = 1651 120612.0027.ec.fits: ap = 70, w1 = 4675.722, w2 = 4578.771, dw = -0.05876, nw = 1651 120612.0027.ec.fits: ap = 71, w1 = 4638.024, w2 = 4541.855, dw = -0.05828, nw = 1651 120612.0027.ec.fits: ap = 72, w1 = 4600.928, w2 = 4505.529, dw = -0.05782, nw = 1651 120612.0027.ec.fits: ap = 73, w1 = 4564.422, w2 = 4469.78, dw = -0.05736, nw = 1651 120612.0027.ec.fits: ap = 74, w1 = 4528.49, w2 = 4434.594, dw = -0.05691, nw = 1651 120612.0027.ec.fits: ap = 75, w1 = 4493.12, w2 = 4399.958, dw = -0.05646, nw = 1651 120612.0027.ec.fits: ap = 76, w1 = 4458.299, w2 = 4365.858, dw = -0.05602, nw = 1651 120612.0027.ec.fits: ap = 77, w1 = 4424.014, w2 = 4332.284, dw = -0.05559, nw = 1651 120612.0027.ec.fits: ap = 78, w1 = 4390.252, w2 = 4299.222, dw = -0.05517, nw = 1651 120612.0027.ec.fits: ap = 79, w1 = 4357.002, w2 = 4266.662, dw = -0.05475, nw = 1651 120612.0027.ec.fits: ap = 80, w1 = 4324.252, w2 = 4234.59, dw = -0.05434, nw = 1651 120612.0027.ec.fits: ap = 81, w1 = 4291.991, w2 = 4202.998, dw = -0.05393, nw = 1651 120612.0027.ec.fits: ap = 82, w1 = 4260.208, w2 = 4171.874, dw = -0.05354, nw = 1651 120612.0027.ec.fits: ap = 83, w1 = 4228.892, w2 = 4141.208, dw = -0.05314, nw = 1651 120612.0027.ec.fits: ap = 84, w1 = 4198.034, w2 = 4110.989, dw = -0.05275, nw = 1651 120612.0027.ec.fits: ap = 85, w1 = 4167.624, w2 = 4081.208, dw = -0.05237, nw = 1651 120612.0027.ec.fits: ap = 86, w1 = 4137.651, w2 = 4051.856, dw = -0.052, nw = 1651 120612.0027.ec.fits: ap = 87, w1 = 4108.106, w2 = 4022.924, dw = -0.05163, nw = 1651 120612.0027.ec.fits: ap = 88, w1 = 4078.981, w2 = 3994.402, dw = -0.05126, nw = 1651 120612.0027.ec.fits: ap = 89, w1 = 4050.266, w2 = 3966.281, dw = -0.0509, nw = 1651 120612.0027.ec.fits: ap = 90, w1 = 4021.952, w2 = 3938.554, dw = -0.05054, nw = 1651 120612.0027.ec.fits: ap = 91, w1 = 3994.033, w2 = 3911.213, dw = -0.05019, nw = 1651 120612.0027.ec.fits: ap = 92, w1 = 3966.498, w2 = 3884.248, dw = -0.04985, nw = 1651 120612.0027.ec.fits: ap = 93, w1 = 3939.341, w2 = 3857.653, dw = -0.04951, nw = 1651 120612.0027.ec.fits: ap = 94, w1 = 3912.554, w2 = 3831.42, dw = -0.04917, nw = 1651 120612.0027.ec.fits: ap = 95, w1 = 3886.128, w2 = 3805.541, dw = -0.04884, nw = 1651 120612.0027.ec.fits: ap = 96, w1 = 3860.058, w2 = 3780.01, dw = -0.04851, nw = 1651 120612.0027.ec.fits: ap = 97, w1 = 3834.335, w2 = 3754.82, dw = -0.04819, nw = 1651 120612.0027.ec.fits: ap = 98, w1 = 3808.953, w2 = 3729.963, dw = -0.04787, nw = 1651 120612.0027.ec.fits: ap = 99, w1 = 3783.906, w2 = 3705.433, dw = -0.04756, nw = 1651 120612.0027.ec.fits: ap = 100, w1 = 3759.186, w2 = 3681.224, dw = -0.04725, nw = 1651 120612.0027.ec.fits: ap = 101, w1 = 3734.787, w2 = 3657.33, dw = -0.04694, nw = 1651 120612.0027.ec.fits: ap = 102, w1 = 3710.703, w2 = 3633.744, dw = -0.04664, nw = 1651 120612.0027.ec.fits: ap = 103, w1 = 3686.928, w2 = 3610.46, dw = -0.04634, nw = 1651 120612.0027.ec.fits: ap = 104, w1 = 3663.456, w2 = 3587.473, dw = -0.04605, nw = 1651 120612.0027.ec.fits: ap = 105, w1 = 3640.282, w2 = 3564.777, dw = -0.04576, nw = 1651 120612.0027.ec.fits: ap = 106, w1 = 3617.399, w2 = 3542.367, dw = -0.04547, nw = 1651 120612.0027.ec.fits: ap = 107, w1 = 3594.803, w2 = 3520.237, dw = -0.04519, nw = 1651 120612.0028.ec.fits: REFSPEC1 = '120612.0004.ec 1.' 120612.0028.ec.fits: ap = 1, w1 = 10649.25, w2 = 10428.21, dw = -0.13396, nw = 1651 120612.0028.ec.fits: ap = 2, w1 = 10455.65, w2 = 10238.63, dw = -0.13153, nw = 1651 120612.0028.ec.fits: ap = 3, w1 = 10268.95, w2 = 10055.81, dw = -0.12918, nw = 1651 120612.0028.ec.fits: ap = 4, w1 = 10088.81, w2 = 9879.409, dw = -0.12691, nw = 1651 120612.0028.ec.fits: ap = 5, w1 = 9914.876, w2 = 9709.09, dw = -0.12472, nw = 1651 120612.0028.ec.fits: ap = 6, w1 = 9746.84, w2 = 9544.544, dw = -0.1226, nw = 1651 120612.0028.ec.fits: ap = 7, w1 = 9584.406, w2 = 9385.483, dw = -0.12056, nw = 1651 120612.0028.ec.fits: ap = 8, w1 = 9427.297, w2 = 9231.638, dw = -0.11858, nw = 1651 120612.0028.ec.fits: ap = 9, w1 = 9275.255, w2 = 9082.755, dw = -0.11667, nw = 1651 120612.0028.ec.fits: ap = 10, w1 = 9128.041, w2 = 8938.598, dw = -0.11481, nw = 1651 120612.0028.ec.fits: ap = 11, w1 = 8985.426, w2 = 8798.947, dw = -0.11302, nw = 1651 120612.0028.ec.fits: ap = 12, w1 = 8847.2, w2 = 8663.592, dw = -0.11128, nw = 1651 120612.0028.ec.fits: ap = 13, w1 = 8713.163, w2 = 8532.339, dw = -0.10959, nw = 1651 120612.0028.ec.fits: ap = 14, w1 = 8583.126, w2 = 8405.004, dw = -0.10795, nw = 1651 120612.0028.ec.fits: ap = 15, w1 = 8456.914, w2 = 8281.414, dw = -0.10636, nw = 1651 120612.0028.ec.fits: ap = 16, w1 = 8334.36, w2 = 8161.406, dw = -0.10482, nw = 1651 120612.0028.ec.fits: ap = 17, w1 = 8215.308, w2 = 8044.828, dw = -0.10332, nw = 1651 120612.0028.ec.fits: ap = 18, w1 = 8099.609, w2 = 7931.533, dw = -0.10186, nw = 1651 120612.0028.ec.fits: ap = 19, w1 = 7987.124, w2 = 7821.385, dw = -0.10045, nw = 1651 120612.0028.ec.fits: ap = 20, w1 = 7877.721, w2 = 7714.255, dw = -0.09907, nw = 1651 120612.0028.ec.fits: ap = 21, w1 = 7771.275, w2 = 7610.02, dw = -0.09773, nw = 1651 120612.0028.ec.fits: ap = 22, w1 = 7667.667, w2 = 7508.565, dw = -0.09643, nw = 1651 120612.0028.ec.fits: ap = 23, w1 = 7566.786, w2 = 7409.78, dw = -0.09516, nw = 1651 120612.0028.ec.fits: ap = 24, w1 = 7468.525, w2 = 7313.56, dw = -0.09392, nw = 1651 120612.0028.ec.fits: ap = 25, w1 = 7372.783, w2 = 7219.808, dw = -0.09271, nw = 1651 120612.0028.ec.fits: ap = 26, w1 = 7279.466, w2 = 7128.429, dw = -0.09154, nw = 1651 120612.0028.ec.fits: ap = 27, w1 = 7188.481, w2 = 7039.335, dw = -0.09039, nw = 1651 120612.0028.ec.fits: ap = 28, w1 = 7099.743, w2 = 6952.441, dw = -0.08927, nw = 1651 120612.0028.ec.fits: ap = 29, w1 = 7013.169, w2 = 6867.666, dw = -0.08818, nw = 1651 120612.0028.ec.fits: ap = 30, w1 = 6928.681, w2 = 6784.934, dw = -0.08712, nw = 1651 120612.0028.ec.fits: ap = 31, w1 = 6846.205, w2 = 6704.171, dw = -0.08608, nw = 1651 120612.0028.ec.fits: ap = 32, w1 = 6765.67, w2 = 6625.309, dw = -0.08507, nw = 1651 120612.0028.ec.fits: ap = 33, w1 = 6687.007, w2 = 6548.281, dw = -0.08408, nw = 1651 120612.0028.ec.fits: ap = 34, w1 = 6610.153, w2 = 6473.024, dw = -0.08311, nw = 1651 120612.0028.ec.fits: ap = 35, w1 = 6535.046, w2 = 6399.477, dw = -0.08216, nw = 1651 120612.0028.ec.fits: ap = 36, w1 = 6461.626, w2 = 6327.583, dw = -0.08124, nw = 1651 120612.0028.ec.fits: ap = 37, w1 = 6389.839, w2 = 6257.287, dw = -0.08033, nw = 1651 120612.0028.ec.fits: ap = 38, w1 = 6319.628, w2 = 6188.536, dw = -0.07945, nw = 1651 120612.0028.ec.fits: ap = 39, w1 = 6250.945, w2 = 6121.279, dw = -0.07859, nw = 1651 120612.0028.ec.fits: ap = 40, w1 = 6183.738, w2 = 6055.469, dw = -0.07774, nw = 1651 120612.0028.ec.fits: ap = 41, w1 = 6117.961, w2 = 5991.059, dw = -0.07691, nw = 1651 120612.0028.ec.fits: ap = 42, w1 = 6053.57, w2 = 5928.005, dw = -0.0761, nw = 1651 120612.0028.ec.fits: ap = 43, w1 = 5990.519, w2 = 5866.265, dw = -0.07531, nw = 1651 120612.0028.ec.fits: ap = 44, w1 = 5928.769, w2 = 5805.797, dw = -0.07453, nw = 1651 120612.0028.ec.fits: ap = 45, w1 = 5868.279, w2 = 5746.564, dw = -0.07377, nw = 1651 120612.0028.ec.fits: ap = 46, w1 = 5809.012, w2 = 5688.528, dw = -0.07302, nw = 1651 120612.0028.ec.fits: ap = 47, w1 = 5750.929, w2 = 5631.652, dw = -0.07229, nw = 1651 120612.0028.ec.fits: ap = 48, w1 = 5693.997, w2 = 5575.902, dw = -0.07157, nw = 1651 120612.0028.ec.fits: ap = 49, w1 = 5638.181, w2 = 5521.246, dw = -0.07087, nw = 1651 120612.0028.ec.fits: ap = 50, w1 = 5583.449, w2 = 5467.651, dw = -0.07018, nw = 1651 120612.0028.ec.fits: ap = 51, w1 = 5529.77, w2 = 5415.087, dw = -0.0695, nw = 1651 120612.0028.ec.fits: ap = 52, w1 = 5477.114, w2 = 5363.524, dw = -0.06884, nw = 1651 120612.0028.ec.fits: ap = 53, w1 = 5425.451, w2 = 5312.934, dw = -0.06819, nw = 1651 120612.0028.ec.fits: ap = 54, w1 = 5374.753, w2 = 5263.29, dw = -0.06755, nw = 1651 120612.0028.ec.fits: ap = 55, w1 = 5324.995, w2 = 5214.565, dw = -0.06693, nw = 1651 120612.0028.ec.fits: ap = 56, w1 = 5276.15, w2 = 5166.734, dw = -0.06631, nw = 1651 120612.0028.ec.fits: ap = 57, w1 = 5228.193, w2 = 5119.773, dw = -0.06571, nw = 1651 120612.0028.ec.fits: ap = 58, w1 = 5181.1, w2 = 5073.658, dw = -0.06512, nw = 1651 120612.0028.ec.fits: ap = 59, w1 = 5134.848, w2 = 5028.367, dw = -0.06453, nw = 1651 120612.0028.ec.fits: ap = 60, w1 = 5089.415, w2 = 4983.877, dw = -0.06396, nw = 1651 120612.0028.ec.fits: ap = 61, w1 = 5044.779, w2 = 4940.168, dw = -0.0634, nw = 1651 120612.0028.ec.fits: ap = 62, w1 = 5000.92, w2 = 4897.219, dw = -0.06285, nw = 1651 120612.0028.ec.fits: ap = 63, w1 = 4957.817, w2 = 4855.011, dw = -0.06231, nw = 1651 120612.0028.ec.fits: ap = 64, w1 = 4915.45, w2 = 4813.524, dw = -0.06177, nw = 1651 120612.0028.ec.fits: ap = 65, w1 = 4873.802, w2 = 4772.741, dw = -0.06125, nw = 1651 120612.0028.ec.fits: ap = 66, w1 = 4832.854, w2 = 4732.643, dw = -0.06073, nw = 1651 120612.0028.ec.fits: ap = 67, w1 = 4792.589, w2 = 4693.213, dw = -0.06023, nw = 1651 120612.0028.ec.fits: ap = 68, w1 = 4752.989, w2 = 4654.435, dw = -0.05973, nw = 1651 120612.0028.ec.fits: ap = 69, w1 = 4714.039, w2 = 4616.293, dw = -0.05924, nw = 1651 120612.0028.ec.fits: ap = 70, w1 = 4675.722, w2 = 4578.771, dw = -0.05876, nw = 1651 120612.0028.ec.fits: ap = 71, w1 = 4638.024, w2 = 4541.855, dw = -0.05828, nw = 1651 120612.0028.ec.fits: ap = 72, w1 = 4600.928, w2 = 4505.529, dw = -0.05782, nw = 1651 120612.0028.ec.fits: ap = 73, w1 = 4564.422, w2 = 4469.78, dw = -0.05736, nw = 1651 120612.0028.ec.fits: ap = 74, w1 = 4528.49, w2 = 4434.594, dw = -0.05691, nw = 1651 120612.0028.ec.fits: ap = 75, w1 = 4493.12, w2 = 4399.958, dw = -0.05646, nw = 1651 120612.0028.ec.fits: ap = 76, w1 = 4458.299, w2 = 4365.858, dw = -0.05602, nw = 1651 120612.0028.ec.fits: ap = 77, w1 = 4424.014, w2 = 4332.284, dw = -0.05559, nw = 1651 120612.0028.ec.fits: ap = 78, w1 = 4390.252, w2 = 4299.222, dw = -0.05517, nw = 1651 120612.0028.ec.fits: ap = 79, w1 = 4357.002, w2 = 4266.662, dw = -0.05475, nw = 1651 120612.0028.ec.fits: ap = 80, w1 = 4324.252, w2 = 4234.59, dw = -0.05434, nw = 1651 120612.0028.ec.fits: ap = 81, w1 = 4291.991, w2 = 4202.998, dw = -0.05393, nw = 1651 120612.0028.ec.fits: ap = 82, w1 = 4260.208, w2 = 4171.874, dw = -0.05354, nw = 1651 120612.0028.ec.fits: ap = 83, w1 = 4228.892, w2 = 4141.208, dw = -0.05314, nw = 1651 120612.0028.ec.fits: ap = 84, w1 = 4198.034, w2 = 4110.989, dw = -0.05275, nw = 1651 120612.0028.ec.fits: ap = 85, w1 = 4167.624, w2 = 4081.208, dw = -0.05237, nw = 1651 120612.0028.ec.fits: ap = 86, w1 = 4137.651, w2 = 4051.856, dw = -0.052, nw = 1651 120612.0028.ec.fits: ap = 87, w1 = 4108.106, w2 = 4022.924, dw = -0.05163, nw = 1651 120612.0028.ec.fits: ap = 88, w1 = 4078.981, w2 = 3994.402, dw = -0.05126, nw = 1651 120612.0028.ec.fits: ap = 89, w1 = 4050.266, w2 = 3966.281, dw = -0.0509, nw = 1651 120612.0028.ec.fits: ap = 90, w1 = 4021.952, w2 = 3938.554, dw = -0.05054, nw = 1651 120612.0028.ec.fits: ap = 91, w1 = 3994.033, w2 = 3911.213, dw = -0.05019, nw = 1651 120612.0028.ec.fits: ap = 92, w1 = 3966.498, w2 = 3884.248, dw = -0.04985, nw = 1651 120612.0028.ec.fits: ap = 93, w1 = 3939.341, w2 = 3857.653, dw = -0.04951, nw = 1651 120612.0028.ec.fits: ap = 94, w1 = 3912.554, w2 = 3831.42, dw = -0.04917, nw = 1651 120612.0028.ec.fits: ap = 95, w1 = 3886.128, w2 = 3805.541, dw = -0.04884, nw = 1651 120612.0028.ec.fits: ap = 96, w1 = 3860.058, w2 = 3780.01, dw = -0.04851, nw = 1651 120612.0028.ec.fits: ap = 97, w1 = 3834.335, w2 = 3754.82, dw = -0.04819, nw = 1651 120612.0028.ec.fits: ap = 98, w1 = 3808.953, w2 = 3729.963, dw = -0.04787, nw = 1651 120612.0028.ec.fits: ap = 99, w1 = 3783.906, w2 = 3705.433, dw = -0.04756, nw = 1651 120612.0028.ec.fits: ap = 100, w1 = 3759.186, w2 = 3681.224, dw = -0.04725, nw = 1651 120612.0028.ec.fits: ap = 101, w1 = 3734.787, w2 = 3657.33, dw = -0.04694, nw = 1651 120612.0028.ec.fits: ap = 102, w1 = 3710.703, w2 = 3633.744, dw = -0.04664, nw = 1651 120612.0028.ec.fits: ap = 103, w1 = 3686.928, w2 = 3610.46, dw = -0.04634, nw = 1651 120612.0028.ec.fits: ap = 104, w1 = 3663.456, w2 = 3587.473, dw = -0.04605, nw = 1651 120612.0028.ec.fits: ap = 105, w1 = 3640.282, w2 = 3564.777, dw = -0.04576, nw = 1651 120612.0028.ec.fits: ap = 106, w1 = 3617.399, w2 = 3542.367, dw = -0.04547, nw = 1651 120612.0028.ec.fits: ap = 107, w1 = 3594.803, w2 = 3520.237, dw = -0.04519, nw = 1651 120612.0029.ec.fits: REFSPEC1 = '120612.0004.ec 1.' 120612.0029.ec.fits: ap = 1, w1 = 10649.25, w2 = 10428.21, dw = -0.13396, nw = 1651 120612.0029.ec.fits: ap = 2, w1 = 10455.65, w2 = 10238.63, dw = -0.13153, nw = 1651 120612.0029.ec.fits: ap = 3, w1 = 10268.95, w2 = 10055.81, dw = -0.12918, nw = 1651 120612.0029.ec.fits: ap = 4, w1 = 10088.81, w2 = 9879.409, dw = -0.12691, nw = 1651 120612.0029.ec.fits: ap = 5, w1 = 9914.876, w2 = 9709.09, dw = -0.12472, nw = 1651 120612.0029.ec.fits: ap = 6, w1 = 9746.84, w2 = 9544.544, dw = -0.1226, nw = 1651 120612.0029.ec.fits: ap = 7, w1 = 9584.406, w2 = 9385.483, dw = -0.12056, nw = 1651 120612.0029.ec.fits: ap = 8, w1 = 9427.297, w2 = 9231.638, dw = -0.11858, nw = 1651 120612.0029.ec.fits: ap = 9, w1 = 9275.255, w2 = 9082.755, dw = -0.11667, nw = 1651 120612.0029.ec.fits: ap = 10, w1 = 9128.041, w2 = 8938.598, dw = -0.11481, nw = 1651 120612.0029.ec.fits: ap = 11, w1 = 8985.426, w2 = 8798.947, dw = -0.11302, nw = 1651 120612.0029.ec.fits: ap = 12, w1 = 8847.2, w2 = 8663.592, dw = -0.11128, nw = 1651 120612.0029.ec.fits: ap = 13, w1 = 8713.163, w2 = 8532.339, dw = -0.10959, nw = 1651 120612.0029.ec.fits: ap = 14, w1 = 8583.126, w2 = 8405.004, dw = -0.10795, nw = 1651 120612.0029.ec.fits: ap = 15, w1 = 8456.914, w2 = 8281.414, dw = -0.10636, nw = 1651 120612.0029.ec.fits: ap = 16, w1 = 8334.36, w2 = 8161.406, dw = -0.10482, nw = 1651 120612.0029.ec.fits: ap = 17, w1 = 8215.308, w2 = 8044.828, dw = -0.10332, nw = 1651 120612.0029.ec.fits: ap = 18, w1 = 8099.609, w2 = 7931.533, dw = -0.10186, nw = 1651 120612.0029.ec.fits: ap = 19, w1 = 7987.124, w2 = 7821.385, dw = -0.10045, nw = 1651 120612.0029.ec.fits: ap = 20, w1 = 7877.721, w2 = 7714.255, dw = -0.09907, nw = 1651 120612.0029.ec.fits: ap = 21, w1 = 7771.275, w2 = 7610.02, dw = -0.09773, nw = 1651 120612.0029.ec.fits: ap = 22, w1 = 7667.667, w2 = 7508.565, dw = -0.09643, nw = 1651 120612.0029.ec.fits: ap = 23, w1 = 7566.786, w2 = 7409.78, dw = -0.09516, nw = 1651 120612.0029.ec.fits: ap = 24, w1 = 7468.525, w2 = 7313.56, dw = -0.09392, nw = 1651 120612.0029.ec.fits: ap = 25, w1 = 7372.783, w2 = 7219.808, dw = -0.09271, nw = 1651 120612.0029.ec.fits: ap = 26, w1 = 7279.466, w2 = 7128.429, dw = -0.09154, nw = 1651 120612.0029.ec.fits: ap = 27, w1 = 7188.481, w2 = 7039.335, dw = -0.09039, nw = 1651 120612.0029.ec.fits: ap = 28, w1 = 7099.743, w2 = 6952.441, dw = -0.08927, nw = 1651 120612.0029.ec.fits: ap = 29, w1 = 7013.169, w2 = 6867.666, dw = -0.08818, nw = 1651 120612.0029.ec.fits: ap = 30, w1 = 6928.681, w2 = 6784.934, dw = -0.08712, nw = 1651 120612.0029.ec.fits: ap = 31, w1 = 6846.205, w2 = 6704.171, dw = -0.08608, nw = 1651 120612.0029.ec.fits: ap = 32, w1 = 6765.67, w2 = 6625.309, dw = -0.08507, nw = 1651 120612.0029.ec.fits: ap = 33, w1 = 6687.007, w2 = 6548.281, dw = -0.08408, nw = 1651 120612.0029.ec.fits: ap = 34, w1 = 6610.153, w2 = 6473.024, dw = -0.08311, nw = 1651 120612.0029.ec.fits: ap = 35, w1 = 6535.046, w2 = 6399.477, dw = -0.08216, nw = 1651 120612.0029.ec.fits: ap = 36, w1 = 6461.626, w2 = 6327.583, dw = -0.08124, nw = 1651 120612.0029.ec.fits: ap = 37, w1 = 6389.839, w2 = 6257.287, dw = -0.08033, nw = 1651 120612.0029.ec.fits: ap = 38, w1 = 6319.628, w2 = 6188.536, dw = -0.07945, nw = 1651 120612.0029.ec.fits: ap = 39, w1 = 6250.945, w2 = 6121.279, dw = -0.07859, nw = 1651 120612.0029.ec.fits: ap = 40, w1 = 6183.738, w2 = 6055.469, dw = -0.07774, nw = 1651 120612.0029.ec.fits: ap = 41, w1 = 6117.961, w2 = 5991.059, dw = -0.07691, nw = 1651 120612.0029.ec.fits: ap = 42, w1 = 6053.57, w2 = 5928.005, dw = -0.0761, nw = 1651 120612.0029.ec.fits: ap = 43, w1 = 5990.519, w2 = 5866.265, dw = -0.07531, nw = 1651 120612.0029.ec.fits: ap = 44, w1 = 5928.769, w2 = 5805.797, dw = -0.07453, nw = 1651 120612.0029.ec.fits: ap = 45, w1 = 5868.279, w2 = 5746.564, dw = -0.07377, nw = 1651 120612.0029.ec.fits: ap = 46, w1 = 5809.012, w2 = 5688.528, dw = -0.07302, nw = 1651 120612.0029.ec.fits: ap = 47, w1 = 5750.929, w2 = 5631.652, dw = -0.07229, nw = 1651 120612.0029.ec.fits: ap = 48, w1 = 5693.997, w2 = 5575.902, dw = -0.07157, nw = 1651 120612.0029.ec.fits: ap = 49, w1 = 5638.181, w2 = 5521.246, dw = -0.07087, nw = 1651 120612.0029.ec.fits: ap = 50, w1 = 5583.449, w2 = 5467.651, dw = -0.07018, nw = 1651 120612.0029.ec.fits: ap = 51, w1 = 5529.77, w2 = 5415.087, dw = -0.0695, nw = 1651 120612.0029.ec.fits: ap = 52, w1 = 5477.114, w2 = 5363.524, dw = -0.06884, nw = 1651 120612.0029.ec.fits: ap = 53, w1 = 5425.451, w2 = 5312.934, dw = -0.06819, nw = 1651 120612.0029.ec.fits: ap = 54, w1 = 5374.753, w2 = 5263.29, dw = -0.06755, nw = 1651 120612.0029.ec.fits: ap = 55, w1 = 5324.995, w2 = 5214.565, dw = -0.06693, nw = 1651 120612.0029.ec.fits: ap = 56, w1 = 5276.15, w2 = 5166.734, dw = -0.06631, nw = 1651 120612.0029.ec.fits: ap = 57, w1 = 5228.193, w2 = 5119.773, dw = -0.06571, nw = 1651 120612.0029.ec.fits: ap = 58, w1 = 5181.1, w2 = 5073.658, dw = -0.06512, nw = 1651 120612.0029.ec.fits: ap = 59, w1 = 5134.848, w2 = 5028.367, dw = -0.06453, nw = 1651 120612.0029.ec.fits: ap = 60, w1 = 5089.415, w2 = 4983.877, dw = -0.06396, nw = 1651 120612.0029.ec.fits: ap = 61, w1 = 5044.779, w2 = 4940.168, dw = -0.0634, nw = 1651 120612.0029.ec.fits: ap = 62, w1 = 5000.92, w2 = 4897.219, dw = -0.06285, nw = 1651 120612.0029.ec.fits: ap = 63, w1 = 4957.817, w2 = 4855.011, dw = -0.06231, nw = 1651 120612.0029.ec.fits: ap = 64, w1 = 4915.45, w2 = 4813.524, dw = -0.06177, nw = 1651 120612.0029.ec.fits: ap = 65, w1 = 4873.802, w2 = 4772.741, dw = -0.06125, nw = 1651 120612.0029.ec.fits: ap = 66, w1 = 4832.854, w2 = 4732.643, dw = -0.06073, nw = 1651 120612.0029.ec.fits: ap = 67, w1 = 4792.589, w2 = 4693.213, dw = -0.06023, nw = 1651 120612.0029.ec.fits: ap = 68, w1 = 4752.989, w2 = 4654.435, dw = -0.05973, nw = 1651 120612.0029.ec.fits: ap = 69, w1 = 4714.039, w2 = 4616.293, dw = -0.05924, nw = 1651 120612.0029.ec.fits: ap = 70, w1 = 4675.722, w2 = 4578.771, dw = -0.05876, nw = 1651 120612.0029.ec.fits: ap = 71, w1 = 4638.024, w2 = 4541.855, dw = -0.05828, nw = 1651 120612.0029.ec.fits: ap = 72, w1 = 4600.928, w2 = 4505.529, dw = -0.05782, nw = 1651 120612.0029.ec.fits: ap = 73, w1 = 4564.422, w2 = 4469.78, dw = -0.05736, nw = 1651 120612.0029.ec.fits: ap = 74, w1 = 4528.49, w2 = 4434.594, dw = -0.05691, nw = 1651 120612.0029.ec.fits: ap = 75, w1 = 4493.12, w2 = 4399.958, dw = -0.05646, nw = 1651 120612.0029.ec.fits: ap = 76, w1 = 4458.299, w2 = 4365.858, dw = -0.05602, nw = 1651 120612.0029.ec.fits: ap = 77, w1 = 4424.014, w2 = 4332.284, dw = -0.05559, nw = 1651 120612.0029.ec.fits: ap = 78, w1 = 4390.252, w2 = 4299.222, dw = -0.05517, nw = 1651 120612.0029.ec.fits: ap = 79, w1 = 4357.002, w2 = 4266.662, dw = -0.05475, nw = 1651 120612.0029.ec.fits: ap = 80, w1 = 4324.252, w2 = 4234.59, dw = -0.05434, nw = 1651 120612.0029.ec.fits: ap = 81, w1 = 4291.991, w2 = 4202.998, dw = -0.05393, nw = 1651 120612.0029.ec.fits: ap = 82, w1 = 4260.208, w2 = 4171.874, dw = -0.05354, nw = 1651 120612.0029.ec.fits: ap = 83, w1 = 4228.892, w2 = 4141.208, dw = -0.05314, nw = 1651 120612.0029.ec.fits: ap = 84, w1 = 4198.034, w2 = 4110.989, dw = -0.05275, nw = 1651 120612.0029.ec.fits: ap = 85, w1 = 4167.624, w2 = 4081.208, dw = -0.05237, nw = 1651 120612.0029.ec.fits: ap = 86, w1 = 4137.651, w2 = 4051.856, dw = -0.052, nw = 1651 120612.0029.ec.fits: ap = 87, w1 = 4108.106, w2 = 4022.924, dw = -0.05163, nw = 1651 120612.0029.ec.fits: ap = 88, w1 = 4078.981, w2 = 3994.402, dw = -0.05126, nw = 1651 120612.0029.ec.fits: ap = 89, w1 = 4050.266, w2 = 3966.281, dw = -0.0509, nw = 1651 120612.0029.ec.fits: ap = 90, w1 = 4021.952, w2 = 3938.554, dw = -0.05054, nw = 1651 120612.0029.ec.fits: ap = 91, w1 = 3994.033, w2 = 3911.213, dw = -0.05019, nw = 1651 120612.0029.ec.fits: ap = 92, w1 = 3966.498, w2 = 3884.248, dw = -0.04985, nw = 1651 120612.0029.ec.fits: ap = 93, w1 = 3939.341, w2 = 3857.653, dw = -0.04951, nw = 1651 120612.0029.ec.fits: ap = 94, w1 = 3912.554, w2 = 3831.42, dw = -0.04917, nw = 1651 120612.0029.ec.fits: ap = 95, w1 = 3886.128, w2 = 3805.541, dw = -0.04884, nw = 1651 120612.0029.ec.fits: ap = 96, w1 = 3860.058, w2 = 3780.01, dw = -0.04851, nw = 1651 120612.0029.ec.fits: ap = 97, w1 = 3834.335, w2 = 3754.82, dw = -0.04819, nw = 1651 120612.0029.ec.fits: ap = 98, w1 = 3808.953, w2 = 3729.963, dw = -0.04787, nw = 1651 120612.0029.ec.fits: ap = 99, w1 = 3783.906, w2 = 3705.433, dw = -0.04756, nw = 1651 120612.0029.ec.fits: ap = 100, w1 = 3759.186, w2 = 3681.224, dw = -0.04725, nw = 1651 120612.0029.ec.fits: ap = 101, w1 = 3734.787, w2 = 3657.33, dw = -0.04694, nw = 1651 120612.0029.ec.fits: ap = 102, w1 = 3710.703, w2 = 3633.744, dw = -0.04664, nw = 1651 120612.0029.ec.fits: ap = 103, w1 = 3686.928, w2 = 3610.46, dw = -0.04634, nw = 1651 120612.0029.ec.fits: ap = 104, w1 = 3663.456, w2 = 3587.473, dw = -0.04605, nw = 1651 120612.0029.ec.fits: ap = 105, w1 = 3640.282, w2 = 3564.777, dw = -0.04576, nw = 1651 120612.0029.ec.fits: ap = 106, w1 = 3617.399, w2 = 3542.367, dw = -0.04547, nw = 1651 120612.0029.ec.fits: ap = 107, w1 = 3594.803, w2 = 3520.237, dw = -0.04519, nw = 1651 120612.0030.ec.fits: REFSPEC1 = '120612.0004.ec 1.' 120612.0030.ec.fits: ap = 1, w1 = 10649.25, w2 = 10428.21, dw = -0.13396, nw = 1651 120612.0030.ec.fits: ap = 2, w1 = 10455.65, w2 = 10238.63, dw = -0.13153, nw = 1651 120612.0030.ec.fits: ap = 3, w1 = 10268.95, w2 = 10055.81, dw = -0.12918, nw = 1651 120612.0030.ec.fits: ap = 4, w1 = 10088.81, w2 = 9879.409, dw = -0.12691, nw = 1651 120612.0030.ec.fits: ap = 5, w1 = 9914.876, w2 = 9709.09, dw = -0.12472, nw = 1651 120612.0030.ec.fits: ap = 6, w1 = 9746.84, w2 = 9544.544, dw = -0.1226, nw = 1651 120612.0030.ec.fits: ap = 7, w1 = 9584.406, w2 = 9385.483, dw = -0.12056, nw = 1651 120612.0030.ec.fits: ap = 8, w1 = 9427.297, w2 = 9231.638, dw = -0.11858, nw = 1651 120612.0030.ec.fits: ap = 9, w1 = 9275.255, w2 = 9082.755, dw = -0.11667, nw = 1651 120612.0030.ec.fits: ap = 10, w1 = 9128.041, w2 = 8938.598, dw = -0.11481, nw = 1651 120612.0030.ec.fits: ap = 11, w1 = 8985.426, w2 = 8798.947, dw = -0.11302, nw = 1651 120612.0030.ec.fits: ap = 12, w1 = 8847.2, w2 = 8663.592, dw = -0.11128, nw = 1651 120612.0030.ec.fits: ap = 13, w1 = 8713.163, w2 = 8532.339, dw = -0.10959, nw = 1651 120612.0030.ec.fits: ap = 14, w1 = 8583.126, w2 = 8405.004, dw = -0.10795, nw = 1651 120612.0030.ec.fits: ap = 15, w1 = 8456.914, w2 = 8281.414, dw = -0.10636, nw = 1651 120612.0030.ec.fits: ap = 16, w1 = 8334.36, w2 = 8161.406, dw = -0.10482, nw = 1651 120612.0030.ec.fits: ap = 17, w1 = 8215.308, w2 = 8044.828, dw = -0.10332, nw = 1651 120612.0030.ec.fits: ap = 18, w1 = 8099.609, w2 = 7931.533, dw = -0.10186, nw = 1651 120612.0030.ec.fits: ap = 19, w1 = 7987.124, w2 = 7821.385, dw = -0.10045, nw = 1651 120612.0030.ec.fits: ap = 20, w1 = 7877.721, w2 = 7714.255, dw = -0.09907, nw = 1651 120612.0030.ec.fits: ap = 21, w1 = 7771.275, w2 = 7610.02, dw = -0.09773, nw = 1651 120612.0030.ec.fits: ap = 22, w1 = 7667.667, w2 = 7508.565, dw = -0.09643, nw = 1651 120612.0030.ec.fits: ap = 23, w1 = 7566.786, w2 = 7409.78, dw = -0.09516, nw = 1651 120612.0030.ec.fits: ap = 24, w1 = 7468.525, w2 = 7313.56, dw = -0.09392, nw = 1651 120612.0030.ec.fits: ap = 25, w1 = 7372.783, w2 = 7219.808, dw = -0.09271, nw = 1651 120612.0030.ec.fits: ap = 26, w1 = 7279.466, w2 = 7128.429, dw = -0.09154, nw = 1651 120612.0030.ec.fits: ap = 27, w1 = 7188.481, w2 = 7039.335, dw = -0.09039, nw = 1651 120612.0030.ec.fits: ap = 28, w1 = 7099.743, w2 = 6952.441, dw = -0.08927, nw = 1651 120612.0030.ec.fits: ap = 29, w1 = 7013.169, w2 = 6867.666, dw = -0.08818, nw = 1651 120612.0030.ec.fits: ap = 30, w1 = 6928.681, w2 = 6784.934, dw = -0.08712, nw = 1651 120612.0030.ec.fits: ap = 31, w1 = 6846.205, w2 = 6704.171, dw = -0.08608, nw = 1651 120612.0030.ec.fits: ap = 32, w1 = 6765.67, w2 = 6625.309, dw = -0.08507, nw = 1651 120612.0030.ec.fits: ap = 33, w1 = 6687.007, w2 = 6548.281, dw = -0.08408, nw = 1651 120612.0030.ec.fits: ap = 34, w1 = 6610.153, w2 = 6473.024, dw = -0.08311, nw = 1651 120612.0030.ec.fits: ap = 35, w1 = 6535.046, w2 = 6399.477, dw = -0.08216, nw = 1651 120612.0030.ec.fits: ap = 36, w1 = 6461.626, w2 = 6327.583, dw = -0.08124, nw = 1651 120612.0030.ec.fits: ap = 37, w1 = 6389.839, w2 = 6257.287, dw = -0.08033, nw = 1651 120612.0030.ec.fits: ap = 38, w1 = 6319.628, w2 = 6188.536, dw = -0.07945, nw = 1651 120612.0030.ec.fits: ap = 39, w1 = 6250.945, w2 = 6121.279, dw = -0.07859, nw = 1651 120612.0030.ec.fits: ap = 40, w1 = 6183.738, w2 = 6055.469, dw = -0.07774, nw = 1651 120612.0030.ec.fits: ap = 41, w1 = 6117.961, w2 = 5991.059, dw = -0.07691, nw = 1651 120612.0030.ec.fits: ap = 42, w1 = 6053.57, w2 = 5928.005, dw = -0.0761, nw = 1651 120612.0030.ec.fits: ap = 43, w1 = 5990.519, w2 = 5866.265, dw = -0.07531, nw = 1651 120612.0030.ec.fits: ap = 44, w1 = 5928.769, w2 = 5805.797, dw = -0.07453, nw = 1651 120612.0030.ec.fits: ap = 45, w1 = 5868.279, w2 = 5746.564, dw = -0.07377, nw = 1651 120612.0030.ec.fits: ap = 46, w1 = 5809.012, w2 = 5688.528, dw = -0.07302, nw = 1651 120612.0030.ec.fits: ap = 47, w1 = 5750.929, w2 = 5631.652, dw = -0.07229, nw = 1651 120612.0030.ec.fits: ap = 48, w1 = 5693.997, w2 = 5575.902, dw = -0.07157, nw = 1651 120612.0030.ec.fits: ap = 49, w1 = 5638.181, w2 = 5521.246, dw = -0.07087, nw = 1651 120612.0030.ec.fits: ap = 50, w1 = 5583.449, w2 = 5467.651, dw = -0.07018, nw = 1651 120612.0030.ec.fits: ap = 51, w1 = 5529.77, w2 = 5415.087, dw = -0.0695, nw = 1651 120612.0030.ec.fits: ap = 52, w1 = 5477.114, w2 = 5363.524, dw = -0.06884, nw = 1651 120612.0030.ec.fits: ap = 53, w1 = 5425.451, w2 = 5312.934, dw = -0.06819, nw = 1651 120612.0030.ec.fits: ap = 54, w1 = 5374.753, w2 = 5263.29, dw = -0.06755, nw = 1651 120612.0030.ec.fits: ap = 55, w1 = 5324.995, w2 = 5214.565, dw = -0.06693, nw = 1651 120612.0030.ec.fits: ap = 56, w1 = 5276.15, w2 = 5166.734, dw = -0.06631, nw = 1651 120612.0030.ec.fits: ap = 57, w1 = 5228.193, w2 = 5119.773, dw = -0.06571, nw = 1651 120612.0030.ec.fits: ap = 58, w1 = 5181.1, w2 = 5073.658, dw = -0.06512, nw = 1651 120612.0030.ec.fits: ap = 59, w1 = 5134.848, w2 = 5028.367, dw = -0.06453, nw = 1651 120612.0030.ec.fits: ap = 60, w1 = 5089.415, w2 = 4983.877, dw = -0.06396, nw = 1651 120612.0030.ec.fits: ap = 61, w1 = 5044.779, w2 = 4940.168, dw = -0.0634, nw = 1651 120612.0030.ec.fits: ap = 62, w1 = 5000.92, w2 = 4897.219, dw = -0.06285, nw = 1651 120612.0030.ec.fits: ap = 63, w1 = 4957.817, w2 = 4855.011, dw = -0.06231, nw = 1651 120612.0030.ec.fits: ap = 64, w1 = 4915.45, w2 = 4813.524, dw = -0.06177, nw = 1651 120612.0030.ec.fits: ap = 65, w1 = 4873.802, w2 = 4772.741, dw = -0.06125, nw = 1651 120612.0030.ec.fits: ap = 66, w1 = 4832.854, w2 = 4732.643, dw = -0.06073, nw = 1651 120612.0030.ec.fits: ap = 67, w1 = 4792.589, w2 = 4693.213, dw = -0.06023, nw = 1651 120612.0030.ec.fits: ap = 68, w1 = 4752.989, w2 = 4654.435, dw = -0.05973, nw = 1651 120612.0030.ec.fits: ap = 69, w1 = 4714.039, w2 = 4616.293, dw = -0.05924, nw = 1651 120612.0030.ec.fits: ap = 70, w1 = 4675.722, w2 = 4578.771, dw = -0.05876, nw = 1651 120612.0030.ec.fits: ap = 71, w1 = 4638.024, w2 = 4541.855, dw = -0.05828, nw = 1651 120612.0030.ec.fits: ap = 72, w1 = 4600.928, w2 = 4505.529, dw = -0.05782, nw = 1651 120612.0030.ec.fits: ap = 73, w1 = 4564.422, w2 = 4469.78, dw = -0.05736, nw = 1651 120612.0030.ec.fits: ap = 74, w1 = 4528.49, w2 = 4434.594, dw = -0.05691, nw = 1651 120612.0030.ec.fits: ap = 75, w1 = 4493.12, w2 = 4399.958, dw = -0.05646, nw = 1651 120612.0030.ec.fits: ap = 76, w1 = 4458.299, w2 = 4365.858, dw = -0.05602, nw = 1651 120612.0030.ec.fits: ap = 77, w1 = 4424.014, w2 = 4332.284, dw = -0.05559, nw = 1651 120612.0030.ec.fits: ap = 78, w1 = 4390.252, w2 = 4299.222, dw = -0.05517, nw = 1651 120612.0030.ec.fits: ap = 79, w1 = 4357.002, w2 = 4266.662, dw = -0.05475, nw = 1651 120612.0030.ec.fits: ap = 80, w1 = 4324.252, w2 = 4234.59, dw = -0.05434, nw = 1651 120612.0030.ec.fits: ap = 81, w1 = 4291.991, w2 = 4202.998, dw = -0.05393, nw = 1651 120612.0030.ec.fits: ap = 82, w1 = 4260.208, w2 = 4171.874, dw = -0.05354, nw = 1651 120612.0030.ec.fits: ap = 83, w1 = 4228.892, w2 = 4141.208, dw = -0.05314, nw = 1651 120612.0030.ec.fits: ap = 84, w1 = 4198.034, w2 = 4110.989, dw = -0.05275, nw = 1651 120612.0030.ec.fits: ap = 85, w1 = 4167.624, w2 = 4081.208, dw = -0.05237, nw = 1651 120612.0030.ec.fits: ap = 86, w1 = 4137.651, w2 = 4051.856, dw = -0.052, nw = 1651 120612.0030.ec.fits: ap = 87, w1 = 4108.106, w2 = 4022.924, dw = -0.05163, nw = 1651 120612.0030.ec.fits: ap = 88, w1 = 4078.981, w2 = 3994.402, dw = -0.05126, nw = 1651 120612.0030.ec.fits: ap = 89, w1 = 4050.266, w2 = 3966.281, dw = -0.0509, nw = 1651 120612.0030.ec.fits: ap = 90, w1 = 4021.952, w2 = 3938.554, dw = -0.05054, nw = 1651 120612.0030.ec.fits: ap = 91, w1 = 3994.033, w2 = 3911.213, dw = -0.05019, nw = 1651 120612.0030.ec.fits: ap = 92, w1 = 3966.498, w2 = 3884.248, dw = -0.04985, nw = 1651 120612.0030.ec.fits: ap = 93, w1 = 3939.341, w2 = 3857.653, dw = -0.04951, nw = 1651 120612.0030.ec.fits: ap = 94, w1 = 3912.554, w2 = 3831.42, dw = -0.04917, nw = 1651 120612.0030.ec.fits: ap = 95, w1 = 3886.128, w2 = 3805.541, dw = -0.04884, nw = 1651 120612.0030.ec.fits: ap = 96, w1 = 3860.058, w2 = 3780.01, dw = -0.04851, nw = 1651 120612.0030.ec.fits: ap = 97, w1 = 3834.335, w2 = 3754.82, dw = -0.04819, nw = 1651 120612.0030.ec.fits: ap = 98, w1 = 3808.953, w2 = 3729.963, dw = -0.04787, nw = 1651 120612.0030.ec.fits: ap = 99, w1 = 3783.906, w2 = 3705.433, dw = -0.04756, nw = 1651 120612.0030.ec.fits: ap = 100, w1 = 3759.186, w2 = 3681.224, dw = -0.04725, nw = 1651 120612.0030.ec.fits: ap = 101, w1 = 3734.787, w2 = 3657.33, dw = -0.04694, nw = 1651 120612.0030.ec.fits: ap = 102, w1 = 3710.703, w2 = 3633.744, dw = -0.04664, nw = 1651 120612.0030.ec.fits: ap = 103, w1 = 3686.928, w2 = 3610.46, dw = -0.04634, nw = 1651 120612.0030.ec.fits: ap = 104, w1 = 3663.456, w2 = 3587.473, dw = -0.04605, nw = 1651 120612.0030.ec.fits: ap = 105, w1 = 3640.282, w2 = 3564.777, dw = -0.04576, nw = 1651 120612.0030.ec.fits: ap = 106, w1 = 3617.399, w2 = 3542.367, dw = -0.04547, nw = 1651 120612.0030.ec.fits: ap = 107, w1 = 3594.803, w2 = 3520.237, dw = -0.04519, nw = 1651 120612.0031.ec.fits: REFSPEC1 = '120612.0004.ec 1.' 120612.0031.ec.fits: ap = 1, w1 = 10649.25, w2 = 10428.21, dw = -0.13396, nw = 1651 120612.0031.ec.fits: ap = 2, w1 = 10455.65, w2 = 10238.63, dw = -0.13153, nw = 1651 120612.0031.ec.fits: ap = 3, w1 = 10268.95, w2 = 10055.81, dw = -0.12918, nw = 1651 120612.0031.ec.fits: ap = 4, w1 = 10088.81, w2 = 9879.409, dw = -0.12691, nw = 1651 120612.0031.ec.fits: ap = 5, w1 = 9914.876, w2 = 9709.09, dw = -0.12472, nw = 1651 120612.0031.ec.fits: ap = 6, w1 = 9746.84, w2 = 9544.544, dw = -0.1226, nw = 1651 120612.0031.ec.fits: ap = 7, w1 = 9584.406, w2 = 9385.483, dw = -0.12056, nw = 1651 120612.0031.ec.fits: ap = 8, w1 = 9427.297, w2 = 9231.638, dw = -0.11858, nw = 1651 120612.0031.ec.fits: ap = 9, w1 = 9275.255, w2 = 9082.755, dw = -0.11667, nw = 1651 120612.0031.ec.fits: ap = 10, w1 = 9128.041, w2 = 8938.598, dw = -0.11481, nw = 1651 120612.0031.ec.fits: ap = 11, w1 = 8985.426, w2 = 8798.947, dw = -0.11302, nw = 1651 120612.0031.ec.fits: ap = 12, w1 = 8847.2, w2 = 8663.592, dw = -0.11128, nw = 1651 120612.0031.ec.fits: ap = 13, w1 = 8713.163, w2 = 8532.339, dw = -0.10959, nw = 1651 120612.0031.ec.fits: ap = 14, w1 = 8583.126, w2 = 8405.004, dw = -0.10795, nw = 1651 120612.0031.ec.fits: ap = 15, w1 = 8456.914, w2 = 8281.414, dw = -0.10636, nw = 1651 120612.0031.ec.fits: ap = 16, w1 = 8334.36, w2 = 8161.406, dw = -0.10482, nw = 1651 120612.0031.ec.fits: ap = 17, w1 = 8215.308, w2 = 8044.828, dw = -0.10332, nw = 1651 120612.0031.ec.fits: ap = 18, w1 = 8099.609, w2 = 7931.533, dw = -0.10186, nw = 1651 120612.0031.ec.fits: ap = 19, w1 = 7987.124, w2 = 7821.385, dw = -0.10045, nw = 1651 120612.0031.ec.fits: ap = 20, w1 = 7877.721, w2 = 7714.255, dw = -0.09907, nw = 1651 120612.0031.ec.fits: ap = 21, w1 = 7771.275, w2 = 7610.02, dw = -0.09773, nw = 1651 120612.0031.ec.fits: ap = 22, w1 = 7667.667, w2 = 7508.565, dw = -0.09643, nw = 1651 120612.0031.ec.fits: ap = 23, w1 = 7566.786, w2 = 7409.78, dw = -0.09516, nw = 1651 120612.0031.ec.fits: ap = 24, w1 = 7468.525, w2 = 7313.56, dw = -0.09392, nw = 1651 120612.0031.ec.fits: ap = 25, w1 = 7372.783, w2 = 7219.808, dw = -0.09271, nw = 1651 120612.0031.ec.fits: ap = 26, w1 = 7279.466, w2 = 7128.429, dw = -0.09154, nw = 1651 120612.0031.ec.fits: ap = 27, w1 = 7188.481, w2 = 7039.335, dw = -0.09039, nw = 1651 120612.0031.ec.fits: ap = 28, w1 = 7099.743, w2 = 6952.441, dw = -0.08927, nw = 1651 120612.0031.ec.fits: ap = 29, w1 = 7013.169, w2 = 6867.666, dw = -0.08818, nw = 1651 120612.0031.ec.fits: ap = 30, w1 = 6928.681, w2 = 6784.934, dw = -0.08712, nw = 1651 120612.0031.ec.fits: ap = 31, w1 = 6846.205, w2 = 6704.171, dw = -0.08608, nw = 1651 120612.0031.ec.fits: ap = 32, w1 = 6765.67, w2 = 6625.309, dw = -0.08507, nw = 1651 120612.0031.ec.fits: ap = 33, w1 = 6687.007, w2 = 6548.281, dw = -0.08408, nw = 1651 120612.0031.ec.fits: ap = 34, w1 = 6610.153, w2 = 6473.024, dw = -0.08311, nw = 1651 120612.0031.ec.fits: ap = 35, w1 = 6535.046, w2 = 6399.477, dw = -0.08216, nw = 1651 120612.0031.ec.fits: ap = 36, w1 = 6461.626, w2 = 6327.583, dw = -0.08124, nw = 1651 120612.0031.ec.fits: ap = 37, w1 = 6389.839, w2 = 6257.287, dw = -0.08033, nw = 1651 120612.0031.ec.fits: ap = 38, w1 = 6319.628, w2 = 6188.536, dw = -0.07945, nw = 1651 120612.0031.ec.fits: ap = 39, w1 = 6250.945, w2 = 6121.279, dw = -0.07859, nw = 1651 120612.0031.ec.fits: ap = 40, w1 = 6183.738, w2 = 6055.469, dw = -0.07774, nw = 1651 120612.0031.ec.fits: ap = 41, w1 = 6117.961, w2 = 5991.059, dw = -0.07691, nw = 1651 120612.0031.ec.fits: ap = 42, w1 = 6053.57, w2 = 5928.005, dw = -0.0761, nw = 1651 120612.0031.ec.fits: ap = 43, w1 = 5990.519, w2 = 5866.265, dw = -0.07531, nw = 1651 120612.0031.ec.fits: ap = 44, w1 = 5928.769, w2 = 5805.797, dw = -0.07453, nw = 1651 120612.0031.ec.fits: ap = 45, w1 = 5868.279, w2 = 5746.564, dw = -0.07377, nw = 1651 120612.0031.ec.fits: ap = 46, w1 = 5809.012, w2 = 5688.528, dw = -0.07302, nw = 1651 120612.0031.ec.fits: ap = 47, w1 = 5750.929, w2 = 5631.652, dw = -0.07229, nw = 1651 120612.0031.ec.fits: ap = 48, w1 = 5693.997, w2 = 5575.902, dw = -0.07157, nw = 1651 120612.0031.ec.fits: ap = 49, w1 = 5638.181, w2 = 5521.246, dw = -0.07087, nw = 1651 120612.0031.ec.fits: ap = 50, w1 = 5583.449, w2 = 5467.651, dw = -0.07018, nw = 1651 120612.0031.ec.fits: ap = 51, w1 = 5529.77, w2 = 5415.087, dw = -0.0695, nw = 1651 120612.0031.ec.fits: ap = 52, w1 = 5477.114, w2 = 5363.524, dw = -0.06884, nw = 1651 120612.0031.ec.fits: ap = 53, w1 = 5425.451, w2 = 5312.934, dw = -0.06819, nw = 1651 120612.0031.ec.fits: ap = 54, w1 = 5374.753, w2 = 5263.29, dw = -0.06755, nw = 1651 120612.0031.ec.fits: ap = 55, w1 = 5324.995, w2 = 5214.565, dw = -0.06693, nw = 1651 120612.0031.ec.fits: ap = 56, w1 = 5276.15, w2 = 5166.734, dw = -0.06631, nw = 1651 120612.0031.ec.fits: ap = 57, w1 = 5228.193, w2 = 5119.773, dw = -0.06571, nw = 1651 120612.0031.ec.fits: ap = 58, w1 = 5181.1, w2 = 5073.658, dw = -0.06512, nw = 1651 120612.0031.ec.fits: ap = 59, w1 = 5134.848, w2 = 5028.367, dw = -0.06453, nw = 1651 120612.0031.ec.fits: ap = 60, w1 = 5089.415, w2 = 4983.877, dw = -0.06396, nw = 1651 120612.0031.ec.fits: ap = 61, w1 = 5044.779, w2 = 4940.168, dw = -0.0634, nw = 1651 120612.0031.ec.fits: ap = 62, w1 = 5000.92, w2 = 4897.219, dw = -0.06285, nw = 1651 120612.0031.ec.fits: ap = 63, w1 = 4957.817, w2 = 4855.011, dw = -0.06231, nw = 1651 120612.0031.ec.fits: ap = 64, w1 = 4915.45, w2 = 4813.524, dw = -0.06177, nw = 1651 120612.0031.ec.fits: ap = 65, w1 = 4873.802, w2 = 4772.741, dw = -0.06125, nw = 1651 120612.0031.ec.fits: ap = 66, w1 = 4832.854, w2 = 4732.643, dw = -0.06073, nw = 1651 120612.0031.ec.fits: ap = 67, w1 = 4792.589, w2 = 4693.213, dw = -0.06023, nw = 1651 120612.0031.ec.fits: ap = 68, w1 = 4752.989, w2 = 4654.435, dw = -0.05973, nw = 1651 120612.0031.ec.fits: ap = 69, w1 = 4714.039, w2 = 4616.293, dw = -0.05924, nw = 1651 120612.0031.ec.fits: ap = 70, w1 = 4675.722, w2 = 4578.771, dw = -0.05876, nw = 1651 120612.0031.ec.fits: ap = 71, w1 = 4638.024, w2 = 4541.855, dw = -0.05828, nw = 1651 120612.0031.ec.fits: ap = 72, w1 = 4600.928, w2 = 4505.529, dw = -0.05782, nw = 1651 120612.0031.ec.fits: ap = 73, w1 = 4564.422, w2 = 4469.78, dw = -0.05736, nw = 1651 120612.0031.ec.fits: ap = 74, w1 = 4528.49, w2 = 4434.594, dw = -0.05691, nw = 1651 120612.0031.ec.fits: ap = 75, w1 = 4493.12, w2 = 4399.958, dw = -0.05646, nw = 1651 120612.0031.ec.fits: ap = 76, w1 = 4458.299, w2 = 4365.858, dw = -0.05602, nw = 1651 120612.0031.ec.fits: ap = 77, w1 = 4424.014, w2 = 4332.284, dw = -0.05559, nw = 1651 120612.0031.ec.fits: ap = 78, w1 = 4390.252, w2 = 4299.222, dw = -0.05517, nw = 1651 120612.0031.ec.fits: ap = 79, w1 = 4357.002, w2 = 4266.662, dw = -0.05475, nw = 1651 120612.0031.ec.fits: ap = 80, w1 = 4324.252, w2 = 4234.59, dw = -0.05434, nw = 1651 120612.0031.ec.fits: ap = 81, w1 = 4291.991, w2 = 4202.998, dw = -0.05393, nw = 1651 120612.0031.ec.fits: ap = 82, w1 = 4260.208, w2 = 4171.874, dw = -0.05354, nw = 1651 120612.0031.ec.fits: ap = 83, w1 = 4228.892, w2 = 4141.208, dw = -0.05314, nw = 1651 120612.0031.ec.fits: ap = 84, w1 = 4198.034, w2 = 4110.989, dw = -0.05275, nw = 1651 120612.0031.ec.fits: ap = 85, w1 = 4167.624, w2 = 4081.208, dw = -0.05237, nw = 1651 120612.0031.ec.fits: ap = 86, w1 = 4137.651, w2 = 4051.856, dw = -0.052, nw = 1651 120612.0031.ec.fits: ap = 87, w1 = 4108.106, w2 = 4022.924, dw = -0.05163, nw = 1651 120612.0031.ec.fits: ap = 88, w1 = 4078.981, w2 = 3994.402, dw = -0.05126, nw = 1651 120612.0031.ec.fits: ap = 89, w1 = 4050.266, w2 = 3966.281, dw = -0.0509, nw = 1651 120612.0031.ec.fits: ap = 90, w1 = 4021.952, w2 = 3938.554, dw = -0.05054, nw = 1651 120612.0031.ec.fits: ap = 91, w1 = 3994.033, w2 = 3911.213, dw = -0.05019, nw = 1651 120612.0031.ec.fits: ap = 92, w1 = 3966.498, w2 = 3884.248, dw = -0.04985, nw = 1651 120612.0031.ec.fits: ap = 93, w1 = 3939.341, w2 = 3857.653, dw = -0.04951, nw = 1651 120612.0031.ec.fits: ap = 94, w1 = 3912.554, w2 = 3831.42, dw = -0.04917, nw = 1651 120612.0031.ec.fits: ap = 95, w1 = 3886.128, w2 = 3805.541, dw = -0.04884, nw = 1651 120612.0031.ec.fits: ap = 96, w1 = 3860.058, w2 = 3780.01, dw = -0.04851, nw = 1651 120612.0031.ec.fits: ap = 97, w1 = 3834.335, w2 = 3754.82, dw = -0.04819, nw = 1651 120612.0031.ec.fits: ap = 98, w1 = 3808.953, w2 = 3729.963, dw = -0.04787, nw = 1651 120612.0031.ec.fits: ap = 99, w1 = 3783.906, w2 = 3705.433, dw = -0.04756, nw = 1651 120612.0031.ec.fits: ap = 100, w1 = 3759.186, w2 = 3681.224, dw = -0.04725, nw = 1651 120612.0031.ec.fits: ap = 101, w1 = 3734.787, w2 = 3657.33, dw = -0.04694, nw = 1651 120612.0031.ec.fits: ap = 102, w1 = 3710.703, w2 = 3633.744, dw = -0.04664, nw = 1651 120612.0031.ec.fits: ap = 103, w1 = 3686.928, w2 = 3610.46, dw = -0.04634, nw = 1651 120612.0031.ec.fits: ap = 104, w1 = 3663.456, w2 = 3587.473, dw = -0.04605, nw = 1651 120612.0031.ec.fits: ap = 105, w1 = 3640.282, w2 = 3564.777, dw = -0.04576, nw = 1651 120612.0031.ec.fits: ap = 106, w1 = 3617.399, w2 = 3542.367, dw = -0.04547, nw = 1651 120612.0031.ec.fits: ap = 107, w1 = 3594.803, w2 = 3520.237, dw = -0.04519, nw = 1651 120612.0001.ec.fits: REFSPEC1 = '120612.0001.ec 1.' z120612.0001.ec.fits: ap = 1, w1 = 10649.26, w2 = 10428.21, dw = -0.13397, nw = 1651 z120612.0001.ec.fits: ap = 2, w1 = 10455.65, w2 = 10238.63, dw = -0.13153, nw = 1651 z120612.0001.ec.fits: ap = 3, w1 = 10268.96, w2 = 10055.81, dw = -0.12918, nw = 1651 z120612.0001.ec.fits: ap = 4, w1 = 10088.81, w2 = 9879.406, dw = -0.12691, nw = 1651 z120612.0001.ec.fits: ap = 5, w1 = 9914.878, w2 = 9709.087, dw = -0.12472, nw = 1651 z120612.0001.ec.fits: ap = 6, w1 = 9746.841, w2 = 9544.541, dw = -0.12261, nw = 1651 z120612.0001.ec.fits: ap = 7, w1 = 9584.404, w2 = 9385.48, dw = -0.12056, nw = 1651 z120612.0001.ec.fits: ap = 8, w1 = 9427.294, w2 = 9231.634, dw = -0.11858, nw = 1651 z120612.0001.ec.fits: ap = 9, w1 = 9275.251, w2 = 9082.751, dw = -0.11667, nw = 1651 z120612.0001.ec.fits: ap = 10, w1 = 9128.036, w2 = 8938.594, dw = -0.11481, nw = 1651 z120612.0001.ec.fits: ap = 11, w1 = 8985.42, w2 = 8798.942, dw = -0.11302, nw = 1651 z120612.0001.ec.fits: ap = 12, w1 = 8847.193, w2 = 8663.587, dw = -0.11128, nw = 1651 z120612.0001.ec.fits: ap = 13, w1 = 8713.155, w2 = 8532.334, dw = -0.10959, nw = 1651 z120612.0001.ec.fits: ap = 14, w1 = 8583.118, w2 = 8404.999, dw = -0.10795, nw = 1651 z120612.0001.ec.fits: ap = 15, w1 = 8456.906, w2 = 8281.409, dw = -0.10636, nw = 1651 z120612.0001.ec.fits: ap = 16, w1 = 8334.352, w2 = 8161.401, dw = -0.10482, nw = 1651 z120612.0001.ec.fits: ap = 17, w1 = 8215.299, w2 = 8044.822, dw = -0.10332, nw = 1651 z120612.0001.ec.fits: ap = 18, w1 = 8099.6, w2 = 7931.527, dw = -0.10186, nw = 1651 z120612.0001.ec.fits: ap = 19, w1 = 7987.115, w2 = 7821.378, dw = -0.10045, nw = 1651 z120612.0001.ec.fits: ap = 20, w1 = 7877.712, w2 = 7714.248, dw = -0.09907, nw = 1651 z120612.0001.ec.fits: ap = 21, w1 = 7771.266, w2 = 7610.013, dw = -0.09773, nw = 1651 z120612.0001.ec.fits: ap = 22, w1 = 7667.658, w2 = 7508.558, dw = -0.09642, nw = 1651 z120612.0001.ec.fits: ap = 23, w1 = 7566.777, w2 = 7409.773, dw = -0.09515, nw = 1651 z120612.0001.ec.fits: ap = 24, w1 = 7468.516, w2 = 7313.553, dw = -0.09392, nw = 1651 z120612.0001.ec.fits: ap = 25, w1 = 7372.775, w2 = 7219.801, dw = -0.09271, nw = 1651 z120612.0001.ec.fits: ap = 26, w1 = 7279.458, w2 = 7128.422, dw = -0.09154, nw = 1651 z120612.0001.ec.fits: ap = 27, w1 = 7188.473, w2 = 7039.327, dw = -0.09039, nw = 1651 z120612.0001.ec.fits: ap = 28, w1 = 7099.735, w2 = 6952.433, dw = -0.08927, nw = 1651 z120612.0001.ec.fits: ap = 29, w1 = 7013.162, w2 = 6867.658, dw = -0.08818, nw = 1651 z120612.0001.ec.fits: ap = 30, w1 = 6928.675, w2 = 6784.925, dw = -0.08712, nw = 1651 z120612.0001.ec.fits: ap = 31, w1 = 6846.199, w2 = 6704.163, dw = -0.08608, nw = 1651 z120612.0001.ec.fits: ap = 32, w1 = 6765.664, w2 = 6625.301, dw = -0.08507, nw = 1651 z120612.0001.ec.fits: ap = 33, w1 = 6687.002, w2 = 6548.273, dw = -0.08408, nw = 1651 z120612.0001.ec.fits: ap = 34, w1 = 6610.149, w2 = 6473.015, dw = -0.08311, nw = 1651 z120612.0001.ec.fits: ap = 35, w1 = 6535.042, w2 = 6399.469, dw = -0.08217, nw = 1651 z120612.0001.ec.fits: ap = 36, w1 = 6461.623, w2 = 6327.574, dw = -0.08124, nw = 1651 z120612.0001.ec.fits: ap = 37, w1 = 6389.835, w2 = 6257.278, dw = -0.08034, nw = 1651 z120612.0001.ec.fits: ap = 38, w1 = 6319.626, w2 = 6188.527, dw = -0.07945, nw = 1651 z120612.0001.ec.fits: ap = 39, w1 = 6250.943, w2 = 6121.27, dw = -0.07859, nw = 1651 z120612.0001.ec.fits: ap = 40, w1 = 6183.737, w2 = 6055.46, dw = -0.07774, nw = 1651 z120612.0001.ec.fits: ap = 41, w1 = 6117.96, w2 = 5991.05, dw = -0.07692, nw = 1651 z120612.0001.ec.fits: ap = 42, w1 = 6053.569, w2 = 5927.996, dw = -0.07611, nw = 1651 z120612.0001.ec.fits: ap = 43, w1 = 5990.519, w2 = 5866.255, dw = -0.07531, nw = 1651 z120612.0001.ec.fits: ap = 44, w1 = 5928.77, w2 = 5805.788, dw = -0.07453, nw = 1651 z120612.0001.ec.fits: ap = 45, w1 = 5868.28, w2 = 5746.555, dw = -0.07377, nw = 1651 z120612.0001.ec.fits: ap = 46, w1 = 5809.013, w2 = 5688.518, dw = -0.07303, nw = 1651 z120612.0001.ec.fits: ap = 47, w1 = 5750.931, w2 = 5631.642, dw = -0.0723, nw = 1651 z120612.0001.ec.fits: ap = 48, w1 = 5693.999, w2 = 5575.893, dw = -0.07158, nw = 1651 z120612.0001.ec.fits: ap = 49, w1 = 5638.184, w2 = 5521.237, dw = -0.07088, nw = 1651 z120612.0001.ec.fits: ap = 50, w1 = 5583.453, w2 = 5467.642, dw = -0.07019, nw = 1651 z120612.0001.ec.fits: ap = 51, w1 = 5529.774, w2 = 5415.078, dw = -0.06951, nw = 1651 z120612.0001.ec.fits: ap = 52, w1 = 5477.117, w2 = 5363.515, dw = -0.06885, nw = 1651 z120612.0001.ec.fits: ap = 53, w1 = 5425.455, w2 = 5312.925, dw = -0.0682, nw = 1651 z120612.0001.ec.fits: ap = 54, w1 = 5374.758, w2 = 5263.281, dw = -0.06756, nw = 1651 z120612.0001.ec.fits: ap = 55, w1 = 5325., w2 = 5214.556, dw = -0.06694, nw = 1651 z120612.0001.ec.fits: ap = 56, w1 = 5276.155, w2 = 5166.725, dw = -0.06632, nw = 1651 z120612.0001.ec.fits: ap = 57, w1 = 5228.198, w2 = 5119.764, dw = -0.06572, nw = 1651 z120612.0001.ec.fits: ap = 58, w1 = 5181.105, w2 = 5073.649, dw = -0.06512, nw = 1651 z120612.0001.ec.fits: ap = 59, w1 = 5134.853, w2 = 5028.358, dw = -0.06454, nw = 1651 z120612.0001.ec.fits: ap = 60, w1 = 5089.42, w2 = 4983.869, dw = -0.06397, nw = 1651 z120612.0001.ec.fits: ap = 61, w1 = 5044.785, w2 = 4940.16, dw = -0.06341, nw = 1651 z120612.0001.ec.fits: ap = 62, w1 = 5000.925, w2 = 4897.211, dw = -0.06286, nw = 1651 z120612.0001.ec.fits: ap = 63, w1 = 4957.822, w2 = 4855.003, dw = -0.06231, nw = 1651 z120612.0001.ec.fits: ap = 64, w1 = 4915.456, w2 = 4813.516, dw = -0.06178, nw = 1651 z120612.0001.ec.fits: ap = 65, w1 = 4873.808, w2 = 4772.733, dw = -0.06126, nw = 1651 z120612.0001.ec.fits: ap = 66, w1 = 4832.86, w2 = 4732.635, dw = -0.06074, nw = 1651 z120612.0001.ec.fits: ap = 67, w1 = 4792.594, w2 = 4693.206, dw = -0.06024, nw = 1651 z120612.0001.ec.fits: ap = 68, w1 = 4752.994, w2 = 4654.428, dw = -0.05974, nw = 1651 z120612.0001.ec.fits: ap = 69, w1 = 4714.044, w2 = 4616.286, dw = -0.05925, nw = 1651 z120612.0001.ec.fits: ap = 70, w1 = 4675.726, w2 = 4578.765, dw = -0.05876, nw = 1651 z120612.0001.ec.fits: ap = 71, w1 = 4638.027, w2 = 4541.848, dw = -0.05829, nw = 1651 z120612.0001.ec.fits: ap = 72, w1 = 4600.932, w2 = 4505.523, dw = -0.05782, nw = 1651 z120612.0001.ec.fits: ap = 73, w1 = 4564.425, w2 = 4469.774, dw = -0.05736, nw = 1651 z120612.0001.ec.fits: ap = 74, w1 = 4528.493, w2 = 4434.588, dw = -0.05691, nw = 1651 z120612.0001.ec.fits: ap = 75, w1 = 4493.122, w2 = 4399.952, dw = -0.05647, nw = 1651 z120612.0001.ec.fits: ap = 76, w1 = 4458.301, w2 = 4365.853, dw = -0.05603, nw = 1651 z120612.0001.ec.fits: ap = 77, w1 = 4424.014, w2 = 4332.279, dw = -0.0556, nw = 1651 z120612.0001.ec.fits: ap = 78, w1 = 4390.252, w2 = 4299.218, dw = -0.05517, nw = 1651 z120612.0001.ec.fits: ap = 79, w1 = 4357.001, w2 = 4266.657, dw = -0.05475, nw = 1651 z120612.0001.ec.fits: ap = 80, w1 = 4324.25, w2 = 4234.587, dw = -0.05434, nw = 1651 z120612.0001.ec.fits: ap = 81, w1 = 4291.988, w2 = 4202.995, dw = -0.05394, nw = 1651 z120612.0001.ec.fits: ap = 82, w1 = 4260.205, w2 = 4171.871, dw = -0.05354, nw = 1651 z120612.0001.ec.fits: ap = 83, w1 = 4228.888, w2 = 4141.205, dw = -0.05314, nw = 1651 z120612.0001.ec.fits: ap = 84, w1 = 4198.029, w2 = 4110.987, dw = -0.05275, nw = 1651 z120612.0001.ec.fits: ap = 85, w1 = 4167.618, w2 = 4081.206, dw = -0.05237, nw = 1651 z120612.0001.ec.fits: ap = 86, w1 = 4137.644, w2 = 4051.855, dw = -0.05199, nw = 1651 z120612.0001.ec.fits: ap = 87, w1 = 4108.098, w2 = 4022.923, dw = -0.05162, nw = 1651 z120612.0001.ec.fits: ap = 88, w1 = 4078.971, w2 = 3994.401, dw = -0.05125, nw = 1651 z120612.0001.ec.fits: ap = 89, w1 = 4050.255, w2 = 3966.281, dw = -0.05089, nw = 1651 z120612.0001.ec.fits: ap = 90, w1 = 4021.941, w2 = 3938.554, dw = -0.05054, nw = 1651 z120612.0001.ec.fits: ap = 91, w1 = 3994.019, w2 = 3911.213, dw = -0.05019, nw = 1651 z120612.0001.ec.fits: ap = 92, w1 = 3966.483, w2 = 3884.249, dw = -0.04984, nw = 1651 z120612.0001.ec.fits: ap = 93, w1 = 3939.325, w2 = 3857.654, dw = -0.0495, nw = 1651 z120612.0001.ec.fits: ap = 94, w1 = 3912.536, w2 = 3831.422, dw = -0.04916, nw = 1651 z120612.0001.ec.fits: ap = 95, w1 = 3886.109, w2 = 3805.544, dw = -0.04883, nw = 1651 z120612.0001.ec.fits: ap = 96, w1 = 3860.037, w2 = 3780.013, dw = -0.0485, nw = 1651 z120612.0001.ec.fits: ap = 97, w1 = 3834.313, w2 = 3754.823, dw = -0.04818, nw = 1651 z120612.0001.ec.fits: ap = 98, w1 = 3808.929, w2 = 3729.967, dw = -0.04786, nw = 1651 z120612.0001.ec.fits: ap = 99, w1 = 3783.88, w2 = 3705.437, dw = -0.04754, nw = 1651 z120612.0001.ec.fits: ap = 100, w1 = 3759.158, w2 = 3681.229, dw = -0.04723, nw = 1651 z120612.0001.ec.fits: ap = 101, w1 = 3734.757, w2 = 3657.335, dw = -0.04692, nw = 1651 z120612.0001.ec.fits: ap = 102, w1 = 3710.671, w2 = 3633.75, dw = -0.04662, nw = 1651 z120612.0001.ec.fits: ap = 103, w1 = 3686.894, w2 = 3610.467, dw = -0.04632, nw = 1651 z120612.0001.ec.fits: ap = 104, w1 = 3663.421, w2 = 3587.48, dw = -0.04602, nw = 1651 z120612.0001.ec.fits: ap = 105, w1 = 3640.244, w2 = 3564.785, dw = -0.04573, nw = 1651 z120612.0001.ec.fits: ap = 106, w1 = 3617.359, w2 = 3542.375, dw = -0.04544, nw = 1651 z120612.0001.ec.fits: ap = 107, w1 = 3594.76, w2 = 3520.246, dw = -0.04516, nw = 1651 120612.0002.ec.fits: REFSPEC1 = '120612.0002.ec 1.' z120612.0002.ec.fits: ap = 1, w1 = 10649.25, w2 = 10428.21, dw = -0.13397, nw = 1651 z120612.0002.ec.fits: ap = 2, w1 = 10455.64, w2 = 10238.62, dw = -0.13153, nw = 1651 z120612.0002.ec.fits: ap = 3, w1 = 10268.95, w2 = 10055.8, dw = -0.12918, nw = 1651 z120612.0002.ec.fits: ap = 4, w1 = 10088.8, w2 = 9879.403, dw = -0.12691, nw = 1651 z120612.0002.ec.fits: ap = 5, w1 = 9914.872, w2 = 9709.084, dw = -0.12472, nw = 1651 z120612.0002.ec.fits: ap = 6, w1 = 9746.835, w2 = 9544.539, dw = -0.1226, nw = 1651 z120612.0002.ec.fits: ap = 7, w1 = 9584.4, w2 = 9385.478, dw = -0.12056, nw = 1651 z120612.0002.ec.fits: ap = 8, w1 = 9427.291, w2 = 9231.633, dw = -0.11858, nw = 1651 z120612.0002.ec.fits: ap = 9, w1 = 9275.249, w2 = 9082.75, dw = -0.11667, nw = 1651 z120612.0002.ec.fits: ap = 10, w1 = 9128.034, w2 = 8938.594, dw = -0.11481, nw = 1651 z120612.0002.ec.fits: ap = 11, w1 = 8985.42, w2 = 8798.942, dw = -0.11302, nw = 1651 z120612.0002.ec.fits: ap = 12, w1 = 8847.193, w2 = 8663.587, dw = -0.11128, nw = 1651 z120612.0002.ec.fits: ap = 13, w1 = 8713.155, w2 = 8532.334, dw = -0.10959, nw = 1651 z120612.0002.ec.fits: ap = 14, w1 = 8583.119, w2 = 8404.999, dw = -0.10795, nw = 1651 z120612.0002.ec.fits: ap = 15, w1 = 8456.907, w2 = 8281.41, dw = -0.10636, nw = 1651 z120612.0002.ec.fits: ap = 16, w1 = 8334.353, w2 = 8161.402, dw = -0.10482, nw = 1651 z120612.0002.ec.fits: ap = 17, w1 = 8215.301, w2 = 8044.823, dw = -0.10332, nw = 1651 z120612.0002.ec.fits: ap = 18, w1 = 8099.602, w2 = 7931.528, dw = -0.10186, nw = 1651 z120612.0002.ec.fits: ap = 19, w1 = 7987.117, w2 = 7821.38, dw = -0.10045, nw = 1651 z120612.0002.ec.fits: ap = 20, w1 = 7877.714, w2 = 7714.25, dw = -0.09907, nw = 1651 z120612.0002.ec.fits: ap = 21, w1 = 7771.268, w2 = 7610.016, dw = -0.09773, nw = 1651 z120612.0002.ec.fits: ap = 22, w1 = 7667.66, w2 = 7508.56, dw = -0.09642, nw = 1651 z120612.0002.ec.fits: ap = 23, w1 = 7566.779, w2 = 7409.775, dw = -0.09515, nw = 1651 z120612.0002.ec.fits: ap = 24, w1 = 7468.519, w2 = 7313.556, dw = -0.09392, nw = 1651 z120612.0002.ec.fits: ap = 25, w1 = 7372.777, w2 = 7219.804, dw = -0.09271, nw = 1651 z120612.0002.ec.fits: ap = 26, w1 = 7279.46, w2 = 7128.425, dw = -0.09154, nw = 1651 z120612.0002.ec.fits: ap = 27, w1 = 7188.475, w2 = 7039.331, dw = -0.09039, nw = 1651 z120612.0002.ec.fits: ap = 28, w1 = 7099.737, w2 = 6952.436, dw = -0.08927, nw = 1651 z120612.0002.ec.fits: ap = 29, w1 = 7013.164, w2 = 6867.661, dw = -0.08818, nw = 1651 z120612.0002.ec.fits: ap = 30, w1 = 6928.677, w2 = 6784.929, dw = -0.08712, nw = 1651 z120612.0002.ec.fits: ap = 31, w1 = 6846.201, w2 = 6704.167, dw = -0.08608, nw = 1651 z120612.0002.ec.fits: ap = 32, w1 = 6765.666, w2 = 6625.305, dw = -0.08507, nw = 1651 z120612.0002.ec.fits: ap = 33, w1 = 6687.003, w2 = 6548.277, dw = -0.08408, nw = 1651 z120612.0002.ec.fits: ap = 34, w1 = 6610.15, w2 = 6473.019, dw = -0.08311, nw = 1651 z120612.0002.ec.fits: ap = 35, w1 = 6535.043, w2 = 6399.472, dw = -0.08216, nw = 1651 z120612.0002.ec.fits: ap = 36, w1 = 6461.623, w2 = 6327.578, dw = -0.08124, nw = 1651 z120612.0002.ec.fits: ap = 37, w1 = 6389.836, w2 = 6257.282, dw = -0.08034, nw = 1651 z120612.0002.ec.fits: ap = 38, w1 = 6319.626, w2 = 6188.531, dw = -0.07945, nw = 1651 z120612.0002.ec.fits: ap = 39, w1 = 6250.942, w2 = 6121.274, dw = -0.07859, nw = 1651 z120612.0002.ec.fits: ap = 40, w1 = 6183.736, w2 = 6055.464, dw = -0.07774, nw = 1651 z120612.0002.ec.fits: ap = 41, w1 = 6117.96, w2 = 5991.054, dw = -0.07691, nw = 1651 z120612.0002.ec.fits: ap = 42, w1 = 6053.568, w2 = 5928., dw = -0.0761, nw = 1651 z120612.0002.ec.fits: ap = 43, w1 = 5990.518, w2 = 5866.259, dw = -0.07531, nw = 1651 z120612.0002.ec.fits: ap = 44, w1 = 5928.768, w2 = 5805.792, dw = -0.07453, nw = 1651 z120612.0002.ec.fits: ap = 45, w1 = 5868.279, w2 = 5746.559, dw = -0.07377, nw = 1651 z120612.0002.ec.fits: ap = 46, w1 = 5809.011, w2 = 5688.522, dw = -0.07302, nw = 1651 z120612.0002.ec.fits: ap = 47, w1 = 5750.929, w2 = 5631.647, dw = -0.07229, nw = 1651 z120612.0002.ec.fits: ap = 48, w1 = 5693.997, w2 = 5575.897, dw = -0.07158, nw = 1651 z120612.0002.ec.fits: ap = 49, w1 = 5638.181, w2 = 5521.241, dw = -0.07087, nw = 1651 z120612.0002.ec.fits: ap = 50, w1 = 5583.45, w2 = 5467.646, dw = -0.07018, nw = 1651 z120612.0002.ec.fits: ap = 51, w1 = 5529.771, w2 = 5415.082, dw = -0.06951, nw = 1651 z120612.0002.ec.fits: ap = 52, w1 = 5477.114, w2 = 5363.519, dw = -0.06885, nw = 1651 z120612.0002.ec.fits: ap = 53, w1 = 5425.451, w2 = 5312.929, dw = -0.0682, nw = 1651 z120612.0002.ec.fits: ap = 54, w1 = 5374.754, w2 = 5263.285, dw = -0.06756, nw = 1651 z120612.0002.ec.fits: ap = 55, w1 = 5324.996, w2 = 5214.56, dw = -0.06693, nw = 1651 z120612.0002.ec.fits: ap = 56, w1 = 5276.151, w2 = 5166.729, dw = -0.06632, nw = 1651 z120612.0002.ec.fits: ap = 57, w1 = 5228.194, w2 = 5119.768, dw = -0.06571, nw = 1651 z120612.0002.ec.fits: ap = 58, w1 = 5181.101, w2 = 5073.654, dw = -0.06512, nw = 1651 z120612.0002.ec.fits: ap = 59, w1 = 5134.849, w2 = 5028.362, dw = -0.06454, nw = 1651 z120612.0002.ec.fits: ap = 60, w1 = 5089.416, w2 = 4983.873, dw = -0.06397, nw = 1651 z120612.0002.ec.fits: ap = 61, w1 = 5044.78, w2 = 4940.164, dw = -0.0634, nw = 1651 z120612.0002.ec.fits: ap = 62, w1 = 5000.921, w2 = 4897.215, dw = -0.06285, nw = 1651 z120612.0002.ec.fits: ap = 63, w1 = 4957.818, w2 = 4855.007, dw = -0.06231, nw = 1651 z120612.0002.ec.fits: ap = 64, w1 = 4915.451, w2 = 4813.52, dw = -0.06178, nw = 1651 z120612.0002.ec.fits: ap = 65, w1 = 4873.803, w2 = 4772.737, dw = -0.06125, nw = 1651 z120612.0002.ec.fits: ap = 66, w1 = 4832.855, w2 = 4732.639, dw = -0.06074, nw = 1651 z120612.0002.ec.fits: ap = 67, w1 = 4792.59, w2 = 4693.21, dw = -0.06023, nw = 1651 z120612.0002.ec.fits: ap = 68, w1 = 4752.99, w2 = 4654.432, dw = -0.05973, nw = 1651 z120612.0002.ec.fits: ap = 69, w1 = 4714.039, w2 = 4616.29, dw = -0.05924, nw = 1651 z120612.0002.ec.fits: ap = 70, w1 = 4675.722, w2 = 4578.769, dw = -0.05876, nw = 1651 z120612.0002.ec.fits: ap = 71, w1 = 4638.023, w2 = 4541.852, dw = -0.05829, nw = 1651 z120612.0002.ec.fits: ap = 72, w1 = 4600.928, w2 = 4505.527, dw = -0.05782, nw = 1651 z120612.0002.ec.fits: ap = 73, w1 = 4564.421, w2 = 4469.778, dw = -0.05736, nw = 1651 z120612.0002.ec.fits: ap = 74, w1 = 4528.489, w2 = 4434.592, dw = -0.05691, nw = 1651 z120612.0002.ec.fits: ap = 75, w1 = 4493.119, w2 = 4399.956, dw = -0.05646, nw = 1651 z120612.0002.ec.fits: ap = 76, w1 = 4458.297, w2 = 4365.857, dw = -0.05602, nw = 1651 z120612.0002.ec.fits: ap = 77, w1 = 4424.012, w2 = 4332.283, dw = -0.05559, nw = 1651 z120612.0002.ec.fits: ap = 78, w1 = 4390.249, w2 = 4299.222, dw = -0.05517, nw = 1651 z120612.0002.ec.fits: ap = 79, w1 = 4356.999, w2 = 4266.661, dw = -0.05475, nw = 1651 z120612.0002.ec.fits: ap = 80, w1 = 4324.248, w2 = 4234.591, dw = -0.05434, nw = 1651 z120612.0002.ec.fits: ap = 81, w1 = 4291.987, w2 = 4202.999, dw = -0.05393, nw = 1651 z120612.0002.ec.fits: ap = 82, w1 = 4260.203, w2 = 4171.875, dw = -0.05353, nw = 1651 z120612.0002.ec.fits: ap = 83, w1 = 4228.887, w2 = 4141.209, dw = -0.05314, nw = 1651 z120612.0002.ec.fits: ap = 84, w1 = 4198.029, w2 = 4110.991, dw = -0.05275, nw = 1651 z120612.0002.ec.fits: ap = 85, w1 = 4167.618, w2 = 4081.21, dw = -0.05237, nw = 1651 z120612.0002.ec.fits: ap = 86, w1 = 4137.644, w2 = 4051.859, dw = -0.05199, nw = 1651 z120612.0002.ec.fits: ap = 87, w1 = 4108.099, w2 = 4022.927, dw = -0.05162, nw = 1651 z120612.0002.ec.fits: ap = 88, w1 = 4078.973, w2 = 3994.405, dw = -0.05125, nw = 1651 z120612.0002.ec.fits: ap = 89, w1 = 4050.257, w2 = 3966.285, dw = -0.05089, nw = 1651 z120612.0002.ec.fits: ap = 90, w1 = 4021.943, w2 = 3938.559, dw = -0.05054, nw = 1651 z120612.0002.ec.fits: ap = 91, w1 = 3994.023, w2 = 3911.217, dw = -0.05019, nw = 1651 z120612.0002.ec.fits: ap = 92, w1 = 3966.487, w2 = 3884.253, dw = -0.04984, nw = 1651 z120612.0002.ec.fits: ap = 93, w1 = 3939.329, w2 = 3857.659, dw = -0.0495, nw = 1651 z120612.0002.ec.fits: ap = 94, w1 = 3912.541, w2 = 3831.426, dw = -0.04916, nw = 1651 z120612.0002.ec.fits: ap = 95, w1 = 3886.115, w2 = 3805.548, dw = -0.04883, nw = 1651 z120612.0002.ec.fits: ap = 96, w1 = 3860.044, w2 = 3780.017, dw = -0.0485, nw = 1651 z120612.0002.ec.fits: ap = 97, w1 = 3834.32, w2 = 3754.827, dw = -0.04818, nw = 1651 z120612.0002.ec.fits: ap = 98, w1 = 3808.937, w2 = 3729.971, dw = -0.04786, nw = 1651 z120612.0002.ec.fits: ap = 99, w1 = 3783.889, w2 = 3705.442, dw = -0.04754, nw = 1651 z120612.0002.ec.fits: ap = 100, w1 = 3759.168, w2 = 3681.234, dw = -0.04723, nw = 1651 z120612.0002.ec.fits: ap = 101, w1 = 3734.768, w2 = 3657.34, dw = -0.04693, nw = 1651 z120612.0002.ec.fits: ap = 102, w1 = 3710.683, w2 = 3633.754, dw = -0.04662, nw = 1651 z120612.0002.ec.fits: ap = 103, w1 = 3686.907, w2 = 3610.471, dw = -0.04632, nw = 1651 z120612.0002.ec.fits: ap = 104, w1 = 3663.434, w2 = 3587.485, dw = -0.04603, nw = 1651 z120612.0002.ec.fits: ap = 105, w1 = 3640.258, w2 = 3564.79, dw = -0.04574, nw = 1651 z120612.0002.ec.fits: ap = 106, w1 = 3617.374, w2 = 3542.381, dw = -0.04545, nw = 1651 z120612.0002.ec.fits: ap = 107, w1 = 3594.777, w2 = 3520.251, dw = -0.04517, nw = 1651 120612.0003.ec.fits: REFSPEC1 = '120612.0003.ec 1.' z120612.0003.ec.fits: ap = 1, w1 = 10649.25, w2 = 10428.22, dw = -0.13396, nw = 1651 z120612.0003.ec.fits: ap = 2, w1 = 10455.64, w2 = 10238.63, dw = -0.13152, nw = 1651 z120612.0003.ec.fits: ap = 3, w1 = 10268.95, w2 = 10055.81, dw = -0.12917, nw = 1651 z120612.0003.ec.fits: ap = 4, w1 = 10088.8, w2 = 9879.411, dw = -0.12691, nw = 1651 z120612.0003.ec.fits: ap = 5, w1 = 9914.872, w2 = 9709.091, dw = -0.12472, nw = 1651 z120612.0003.ec.fits: ap = 6, w1 = 9746.835, w2 = 9544.546, dw = -0.1226, nw = 1651 z120612.0003.ec.fits: ap = 7, w1 = 9584.4, w2 = 9385.485, dw = -0.12055, nw = 1651 z120612.0003.ec.fits: ap = 8, w1 = 9427.291, w2 = 9231.639, dw = -0.11858, nw = 1651 z120612.0003.ec.fits: ap = 9, w1 = 9275.249, w2 = 9082.756, dw = -0.11666, nw = 1651 z120612.0003.ec.fits: ap = 10, w1 = 9128.034, w2 = 8938.599, dw = -0.11481, nw = 1651 z120612.0003.ec.fits: ap = 11, w1 = 8985.42, w2 = 8798.947, dw = -0.11301, nw = 1651 z120612.0003.ec.fits: ap = 12, w1 = 8847.194, w2 = 8663.593, dw = -0.11127, nw = 1651 z120612.0003.ec.fits: ap = 13, w1 = 8713.156, w2 = 8532.339, dw = -0.10959, nw = 1651 z120612.0003.ec.fits: ap = 14, w1 = 8583.12, w2 = 8405.004, dw = -0.10795, nw = 1651 z120612.0003.ec.fits: ap = 15, w1 = 8456.908, w2 = 8281.414, dw = -0.10636, nw = 1651 z120612.0003.ec.fits: ap = 16, w1 = 8334.354, w2 = 8161.406, dw = -0.10482, nw = 1651 z120612.0003.ec.fits: ap = 17, w1 = 8215.302, w2 = 8044.827, dw = -0.10332, nw = 1651 z120612.0003.ec.fits: ap = 18, w1 = 8099.604, w2 = 7931.532, dw = -0.10186, nw = 1651 z120612.0003.ec.fits: ap = 19, w1 = 7987.119, w2 = 7821.384, dw = -0.10045, nw = 1651 z120612.0003.ec.fits: ap = 20, w1 = 7877.716, w2 = 7714.253, dw = -0.09907, nw = 1651 z120612.0003.ec.fits: ap = 21, w1 = 7771.27, w2 = 7610.018, dw = -0.09773, nw = 1651 z120612.0003.ec.fits: ap = 22, w1 = 7667.663, w2 = 7508.563, dw = -0.09642, nw = 1651 z120612.0003.ec.fits: ap = 23, w1 = 7566.782, w2 = 7409.778, dw = -0.09515, nw = 1651 z120612.0003.ec.fits: ap = 24, w1 = 7468.521, w2 = 7313.558, dw = -0.09392, nw = 1651 z120612.0003.ec.fits: ap = 25, w1 = 7372.78, w2 = 7219.805, dw = -0.09271, nw = 1651 z120612.0003.ec.fits: ap = 26, w1 = 7279.463, w2 = 7128.427, dw = -0.09154, nw = 1651 z120612.0003.ec.fits: ap = 27, w1 = 7188.478, w2 = 7039.332, dw = -0.09039, nw = 1651 z120612.0003.ec.fits: ap = 28, w1 = 7099.741, w2 = 6952.438, dw = -0.08927, nw = 1651 z120612.0003.ec.fits: ap = 29, w1 = 7013.167, w2 = 6867.662, dw = -0.08818, nw = 1651 z120612.0003.ec.fits: ap = 30, w1 = 6928.68, w2 = 6784.93, dw = -0.08712, nw = 1651 z120612.0003.ec.fits: ap = 31, w1 = 6846.204, w2 = 6704.167, dw = -0.08608, nw = 1651 z120612.0003.ec.fits: ap = 32, w1 = 6765.669, w2 = 6625.305, dw = -0.08507, nw = 1651 z120612.0003.ec.fits: ap = 33, w1 = 6687.007, w2 = 6548.277, dw = -0.08408, nw = 1651 z120612.0003.ec.fits: ap = 34, w1 = 6610.154, w2 = 6473.02, dw = -0.08311, nw = 1651 z120612.0003.ec.fits: ap = 35, w1 = 6535.047, w2 = 6399.473, dw = -0.08217, nw = 1651 z120612.0003.ec.fits: ap = 36, w1 = 6461.627, w2 = 6327.579, dw = -0.08124, nw = 1651 z120612.0003.ec.fits: ap = 37, w1 = 6389.84, w2 = 6257.282, dw = -0.08034, nw = 1651 z120612.0003.ec.fits: ap = 38, w1 = 6319.63, w2 = 6188.531, dw = -0.07945, nw = 1651 z120612.0003.ec.fits: ap = 39, w1 = 6250.947, w2 = 6121.274, dw = -0.07859, nw = 1651 z120612.0003.ec.fits: ap = 40, w1 = 6183.74, w2 = 6055.463, dw = -0.07774, nw = 1651 z120612.0003.ec.fits: ap = 41, w1 = 6117.964, w2 = 5991.053, dw = -0.07692, nw = 1651 z120612.0003.ec.fits: ap = 42, w1 = 6053.573, w2 = 5927.999, dw = -0.07611, nw = 1651 z120612.0003.ec.fits: ap = 43, w1 = 5990.523, w2 = 5866.259, dw = -0.07531, nw = 1651 z120612.0003.ec.fits: ap = 44, w1 = 5928.773, w2 = 5805.791, dw = -0.07453, nw = 1651 z120612.0003.ec.fits: ap = 45, w1 = 5868.283, w2 = 5746.558, dw = -0.07377, nw = 1651 z120612.0003.ec.fits: ap = 46, w1 = 5809.016, w2 = 5688.522, dw = -0.07303, nw = 1651 z120612.0003.ec.fits: ap = 47, w1 = 5750.933, w2 = 5631.646, dw = -0.0723, nw = 1651 z120612.0003.ec.fits: ap = 48, w1 = 5694.002, w2 = 5575.896, dw = -0.07158, nw = 1651 z120612.0003.ec.fits: ap = 49, w1 = 5638.186, w2 = 5521.24, dw = -0.07088, nw = 1651 z120612.0003.ec.fits: ap = 50, w1 = 5583.454, w2 = 5467.645, dw = -0.07019, nw = 1651 z120612.0003.ec.fits: ap = 51, w1 = 5529.775, w2 = 5415.081, dw = -0.06951, nw = 1651 z120612.0003.ec.fits: ap = 52, w1 = 5477.119, w2 = 5363.518, dw = -0.06885, nw = 1651 z120612.0003.ec.fits: ap = 53, w1 = 5425.456, w2 = 5312.928, dw = -0.0682, nw = 1651 z120612.0003.ec.fits: ap = 54, w1 = 5374.759, w2 = 5263.284, dw = -0.06756, nw = 1651 z120612.0003.ec.fits: ap = 55, w1 = 5325., w2 = 5214.559, dw = -0.06693, nw = 1651 z120612.0003.ec.fits: ap = 56, w1 = 5276.155, w2 = 5166.728, dw = -0.06632, nw = 1651 z120612.0003.ec.fits: ap = 57, w1 = 5228.198, w2 = 5119.767, dw = -0.06572, nw = 1651 z120612.0003.ec.fits: ap = 58, w1 = 5181.105, w2 = 5073.653, dw = -0.06512, nw = 1651 z120612.0003.ec.fits: ap = 59, w1 = 5134.853, w2 = 5028.361, dw = -0.06454, nw = 1651 z120612.0003.ec.fits: ap = 60, w1 = 5089.42, w2 = 4983.872, dw = -0.06397, nw = 1651 z120612.0003.ec.fits: ap = 61, w1 = 5044.784, w2 = 4940.163, dw = -0.06341, nw = 1651 z120612.0003.ec.fits: ap = 62, w1 = 5000.925, w2 = 4897.214, dw = -0.06285, nw = 1651 z120612.0003.ec.fits: ap = 63, w1 = 4957.821, w2 = 4855.006, dw = -0.06231, nw = 1651 z120612.0003.ec.fits: ap = 64, w1 = 4915.455, w2 = 4813.519, dw = -0.06178, nw = 1651 z120612.0003.ec.fits: ap = 65, w1 = 4873.807, w2 = 4772.736, dw = -0.06125, nw = 1651 z120612.0003.ec.fits: ap = 66, w1 = 4832.858, w2 = 4732.638, dw = -0.06074, nw = 1651 z120612.0003.ec.fits: ap = 67, w1 = 4792.593, w2 = 4693.209, dw = -0.06023, nw = 1651 z120612.0003.ec.fits: ap = 68, w1 = 4752.993, w2 = 4654.432, dw = -0.05973, nw = 1651 z120612.0003.ec.fits: ap = 69, w1 = 4714.042, w2 = 4616.29, dw = -0.05924, nw = 1651 z120612.0003.ec.fits: ap = 70, w1 = 4675.725, w2 = 4578.768, dw = -0.05876, nw = 1651 z120612.0003.ec.fits: ap = 71, w1 = 4638.026, w2 = 4541.852, dw = -0.05829, nw = 1651 z120612.0003.ec.fits: ap = 72, w1 = 4600.93, w2 = 4505.527, dw = -0.05782, nw = 1651 z120612.0003.ec.fits: ap = 73, w1 = 4564.423, w2 = 4469.778, dw = -0.05736, nw = 1651 z120612.0003.ec.fits: ap = 74, w1 = 4528.491, w2 = 4434.592, dw = -0.05691, nw = 1651 z120612.0003.ec.fits: ap = 75, w1 = 4493.12, w2 = 4399.956, dw = -0.05646, nw = 1651 z120612.0003.ec.fits: ap = 76, w1 = 4458.298, w2 = 4365.858, dw = -0.05602, nw = 1651 z120612.0003.ec.fits: ap = 77, w1 = 4424.012, w2 = 4332.284, dw = -0.05559, nw = 1651 z120612.0003.ec.fits: ap = 78, w1 = 4390.25, w2 = 4299.222, dw = -0.05517, nw = 1651 z120612.0003.ec.fits: ap = 79, w1 = 4356.999, w2 = 4266.662, dw = -0.05475, nw = 1651 z120612.0003.ec.fits: ap = 80, w1 = 4324.248, w2 = 4234.591, dw = -0.05434, nw = 1651 z120612.0003.ec.fits: ap = 81, w1 = 4291.986, w2 = 4203., dw = -0.05393, nw = 1651 z120612.0003.ec.fits: ap = 82, w1 = 4260.203, w2 = 4171.876, dw = -0.05353, nw = 1651 z120612.0003.ec.fits: ap = 83, w1 = 4228.886, w2 = 4141.21, dw = -0.05314, nw = 1651 z120612.0003.ec.fits: ap = 84, w1 = 4198.027, w2 = 4110.992, dw = -0.05275, nw = 1651 z120612.0003.ec.fits: ap = 85, w1 = 4167.616, w2 = 4081.212, dw = -0.05237, nw = 1651 z120612.0003.ec.fits: ap = 86, w1 = 4137.642, w2 = 4051.861, dw = -0.05199, nw = 1651 z120612.0003.ec.fits: ap = 87, w1 = 4108.096, w2 = 4022.929, dw = -0.05162, nw = 1651 z120612.0003.ec.fits: ap = 88, w1 = 4078.97, w2 = 3994.407, dw = -0.05125, nw = 1651 z120612.0003.ec.fits: ap = 89, w1 = 4050.254, w2 = 3966.287, dw = -0.05089, nw = 1651 z120612.0003.ec.fits: ap = 90, w1 = 4021.939, w2 = 3938.561, dw = -0.05053, nw = 1651 z120612.0003.ec.fits: ap = 91, w1 = 3994.018, w2 = 3911.22, dw = -0.05018, nw = 1651 z120612.0003.ec.fits: ap = 92, w1 = 3966.483, w2 = 3884.256, dw = -0.04983, nw = 1651 z120612.0003.ec.fits: ap = 93, w1 = 3939.324, w2 = 3857.662, dw = -0.04949, nw = 1651 z120612.0003.ec.fits: ap = 94, w1 = 3912.536, w2 = 3831.429, dw = -0.04916, nw = 1651 z120612.0003.ec.fits: ap = 95, w1 = 3886.109, w2 = 3805.552, dw = -0.04882, nw = 1651 z120612.0003.ec.fits: ap = 96, w1 = 3860.037, w2 = 3780.021, dw = -0.04849, nw = 1651 z120612.0003.ec.fits: ap = 97, w1 = 3834.313, w2 = 3754.832, dw = -0.04817, nw = 1651 z120612.0003.ec.fits: ap = 98, w1 = 3808.93, w2 = 3729.975, dw = -0.04785, nw = 1651 z120612.0003.ec.fits: ap = 99, w1 = 3783.881, w2 = 3705.447, dw = -0.04754, nw = 1651 z120612.0003.ec.fits: ap = 100, w1 = 3759.159, w2 = 3681.239, dw = -0.04722, nw = 1651 z120612.0003.ec.fits: ap = 101, w1 = 3734.759, w2 = 3657.345, dw = -0.04692, nw = 1651 z120612.0003.ec.fits: ap = 102, w1 = 3710.673, w2 = 3633.76, dw = -0.04661, nw = 1651 z120612.0003.ec.fits: ap = 103, w1 = 3686.897, w2 = 3610.477, dw = -0.04631, nw = 1651 z120612.0003.ec.fits: ap = 104, w1 = 3663.423, w2 = 3587.491, dw = -0.04602, nw = 1651 z120612.0003.ec.fits: ap = 105, w1 = 3640.247, w2 = 3564.796, dw = -0.04573, nw = 1651 z120612.0003.ec.fits: ap = 106, w1 = 3617.362, w2 = 3542.387, dw = -0.04544, nw = 1651 z120612.0003.ec.fits: ap = 107, w1 = 3594.764, w2 = 3520.258, dw = -0.04516, nw = 1651 120612.0004.ec.fits: REFSPEC1 = '120612.0004.ec 1.' z120612.0004.ec.fits: ap = 1, w1 = 10649.25, w2 = 10428.21, dw = -0.13396, nw = 1651 z120612.0004.ec.fits: ap = 2, w1 = 10455.65, w2 = 10238.63, dw = -0.13153, nw = 1651 z120612.0004.ec.fits: ap = 3, w1 = 10268.95, w2 = 10055.81, dw = -0.12918, nw = 1651 z120612.0004.ec.fits: ap = 4, w1 = 10088.81, w2 = 9879.409, dw = -0.12691, nw = 1651 z120612.0004.ec.fits: ap = 5, w1 = 9914.876, w2 = 9709.09, dw = -0.12472, nw = 1651 z120612.0004.ec.fits: ap = 6, w1 = 9746.84, w2 = 9544.544, dw = -0.1226, nw = 1651 z120612.0004.ec.fits: ap = 7, w1 = 9584.406, w2 = 9385.483, dw = -0.12056, nw = 1651 z120612.0004.ec.fits: ap = 8, w1 = 9427.297, w2 = 9231.638, dw = -0.11858, nw = 1651 z120612.0004.ec.fits: ap = 9, w1 = 9275.255, w2 = 9082.755, dw = -0.11667, nw = 1651 z120612.0004.ec.fits: ap = 10, w1 = 9128.041, w2 = 8938.598, dw = -0.11481, nw = 1651 z120612.0004.ec.fits: ap = 11, w1 = 8985.426, w2 = 8798.947, dw = -0.11302, nw = 1651 z120612.0004.ec.fits: ap = 12, w1 = 8847.2, w2 = 8663.592, dw = -0.11128, nw = 1651 z120612.0004.ec.fits: ap = 13, w1 = 8713.163, w2 = 8532.339, dw = -0.10959, nw = 1651 z120612.0004.ec.fits: ap = 14, w1 = 8583.126, w2 = 8405.004, dw = -0.10795, nw = 1651 z120612.0004.ec.fits: ap = 15, w1 = 8456.914, w2 = 8281.414, dw = -0.10636, nw = 1651 z120612.0004.ec.fits: ap = 16, w1 = 8334.36, w2 = 8161.406, dw = -0.10482, nw = 1651 z120612.0004.ec.fits: ap = 17, w1 = 8215.308, w2 = 8044.828, dw = -0.10332, nw = 1651 z120612.0004.ec.fits: ap = 18, w1 = 8099.609, w2 = 7931.533, dw = -0.10186, nw = 1651 z120612.0004.ec.fits: ap = 19, w1 = 7987.124, w2 = 7821.385, dw = -0.10045, nw = 1651 z120612.0004.ec.fits: ap = 20, w1 = 7877.721, w2 = 7714.255, dw = -0.09907, nw = 1651 z120612.0004.ec.fits: ap = 21, w1 = 7771.275, w2 = 7610.02, dw = -0.09773, nw = 1651 z120612.0004.ec.fits: ap = 22, w1 = 7667.667, w2 = 7508.565, dw = -0.09643, nw = 1651 z120612.0004.ec.fits: ap = 23, w1 = 7566.786, w2 = 7409.78, dw = -0.09516, nw = 1651 z120612.0004.ec.fits: ap = 24, w1 = 7468.525, w2 = 7313.56, dw = -0.09392, nw = 1651 z120612.0004.ec.fits: ap = 25, w1 = 7372.783, w2 = 7219.808, dw = -0.09271, nw = 1651 z120612.0004.ec.fits: ap = 26, w1 = 7279.466, w2 = 7128.429, dw = -0.09154, nw = 1651 z120612.0004.ec.fits: ap = 27, w1 = 7188.481, w2 = 7039.335, dw = -0.09039, nw = 1651 z120612.0004.ec.fits: ap = 28, w1 = 7099.743, w2 = 6952.441, dw = -0.08927, nw = 1651 z120612.0004.ec.fits: ap = 29, w1 = 7013.169, w2 = 6867.666, dw = -0.08818, nw = 1651 z120612.0004.ec.fits: ap = 30, w1 = 6928.681, w2 = 6784.934, dw = -0.08712, nw = 1651 z120612.0004.ec.fits: ap = 31, w1 = 6846.205, w2 = 6704.171, dw = -0.08608, nw = 1651 z120612.0004.ec.fits: ap = 32, w1 = 6765.67, w2 = 6625.309, dw = -0.08507, nw = 1651 z120612.0004.ec.fits: ap = 33, w1 = 6687.007, w2 = 6548.281, dw = -0.08408, nw = 1651 z120612.0004.ec.fits: ap = 34, w1 = 6610.153, w2 = 6473.024, dw = -0.08311, nw = 1651 z120612.0004.ec.fits: ap = 35, w1 = 6535.046, w2 = 6399.477, dw = -0.08216, nw = 1651 z120612.0004.ec.fits: ap = 36, w1 = 6461.626, w2 = 6327.583, dw = -0.08124, nw = 1651 z120612.0004.ec.fits: ap = 37, w1 = 6389.839, w2 = 6257.287, dw = -0.08033, nw = 1651 z120612.0004.ec.fits: ap = 38, w1 = 6319.628, w2 = 6188.536, dw = -0.07945, nw = 1651 z120612.0004.ec.fits: ap = 39, w1 = 6250.945, w2 = 6121.279, dw = -0.07859, nw = 1651 z120612.0004.ec.fits: ap = 40, w1 = 6183.738, w2 = 6055.469, dw = -0.07774, nw = 1651 z120612.0004.ec.fits: ap = 41, w1 = 6117.961, w2 = 5991.059, dw = -0.07691, nw = 1651 z120612.0004.ec.fits: ap = 42, w1 = 6053.57, w2 = 5928.005, dw = -0.0761, nw = 1651 z120612.0004.ec.fits: ap = 43, w1 = 5990.519, w2 = 5866.265, dw = -0.07531, nw = 1651 z120612.0004.ec.fits: ap = 44, w1 = 5928.769, w2 = 5805.797, dw = -0.07453, nw = 1651 z120612.0004.ec.fits: ap = 45, w1 = 5868.279, w2 = 5746.564, dw = -0.07377, nw = 1651 z120612.0004.ec.fits: ap = 46, w1 = 5809.012, w2 = 5688.528, dw = -0.07302, nw = 1651 z120612.0004.ec.fits: ap = 47, w1 = 5750.929, w2 = 5631.652, dw = -0.07229, nw = 1651 z120612.0004.ec.fits: ap = 48, w1 = 5693.997, w2 = 5575.902, dw = -0.07157, nw = 1651 z120612.0004.ec.fits: ap = 49, w1 = 5638.181, w2 = 5521.246, dw = -0.07087, nw = 1651 z120612.0004.ec.fits: ap = 50, w1 = 5583.449, w2 = 5467.651, dw = -0.07018, nw = 1651 z120612.0004.ec.fits: ap = 51, w1 = 5529.77, w2 = 5415.087, dw = -0.0695, nw = 1651 z120612.0004.ec.fits: ap = 52, w1 = 5477.114, w2 = 5363.524, dw = -0.06884, nw = 1651 z120612.0004.ec.fits: ap = 53, w1 = 5425.451, w2 = 5312.934, dw = -0.06819, nw = 1651 z120612.0004.ec.fits: ap = 54, w1 = 5374.753, w2 = 5263.29, dw = -0.06755, nw = 1651 z120612.0004.ec.fits: ap = 55, w1 = 5324.995, w2 = 5214.565, dw = -0.06693, nw = 1651 z120612.0004.ec.fits: ap = 56, w1 = 5276.15, w2 = 5166.734, dw = -0.06631, nw = 1651 z120612.0004.ec.fits: ap = 57, w1 = 5228.193, w2 = 5119.773, dw = -0.06571, nw = 1651 z120612.0004.ec.fits: ap = 58, w1 = 5181.1, w2 = 5073.658, dw = -0.06512, nw = 1651 z120612.0004.ec.fits: ap = 59, w1 = 5134.848, w2 = 5028.367, dw = -0.06453, nw = 1651 z120612.0004.ec.fits: ap = 60, w1 = 5089.415, w2 = 4983.877, dw = -0.06396, nw = 1651 z120612.0004.ec.fits: ap = 61, w1 = 5044.779, w2 = 4940.168, dw = -0.0634, nw = 1651 z120612.0004.ec.fits: ap = 62, w1 = 5000.92, w2 = 4897.219, dw = -0.06285, nw = 1651 z120612.0004.ec.fits: ap = 63, w1 = 4957.817, w2 = 4855.011, dw = -0.06231, nw = 1651 z120612.0004.ec.fits: ap = 64, w1 = 4915.45, w2 = 4813.524, dw = -0.06177, nw = 1651 z120612.0004.ec.fits: ap = 65, w1 = 4873.802, w2 = 4772.741, dw = -0.06125, nw = 1651 z120612.0004.ec.fits: ap = 66, w1 = 4832.854, w2 = 4732.643, dw = -0.06073, nw = 1651 z120612.0004.ec.fits: ap = 67, w1 = 4792.589, w2 = 4693.213, dw = -0.06023, nw = 1651 z120612.0004.ec.fits: ap = 68, w1 = 4752.989, w2 = 4654.435, dw = -0.05973, nw = 1651 z120612.0004.ec.fits: ap = 69, w1 = 4714.039, w2 = 4616.293, dw = -0.05924, nw = 1651 z120612.0004.ec.fits: ap = 70, w1 = 4675.722, w2 = 4578.771, dw = -0.05876, nw = 1651 z120612.0004.ec.fits: ap = 71, w1 = 4638.024, w2 = 4541.855, dw = -0.05828, nw = 1651 z120612.0004.ec.fits: ap = 72, w1 = 4600.928, w2 = 4505.529, dw = -0.05782, nw = 1651 z120612.0004.ec.fits: ap = 73, w1 = 4564.422, w2 = 4469.78, dw = -0.05736, nw = 1651 z120612.0004.ec.fits: ap = 74, w1 = 4528.49, w2 = 4434.594, dw = -0.05691, nw = 1651 z120612.0004.ec.fits: ap = 75, w1 = 4493.12, w2 = 4399.958, dw = -0.05646, nw = 1651 z120612.0004.ec.fits: ap = 76, w1 = 4458.299, w2 = 4365.858, dw = -0.05602, nw = 1651 z120612.0004.ec.fits: ap = 77, w1 = 4424.014, w2 = 4332.284, dw = -0.05559, nw = 1651 z120612.0004.ec.fits: ap = 78, w1 = 4390.252, w2 = 4299.222, dw = -0.05517, nw = 1651 z120612.0004.ec.fits: ap = 79, w1 = 4357.002, w2 = 4266.662, dw = -0.05475, nw = 1651 z120612.0004.ec.fits: ap = 80, w1 = 4324.252, w2 = 4234.59, dw = -0.05434, nw = 1651 z120612.0004.ec.fits: ap = 81, w1 = 4291.991, w2 = 4202.998, dw = -0.05393, nw = 1651 z120612.0004.ec.fits: ap = 82, w1 = 4260.208, w2 = 4171.874, dw = -0.05354, nw = 1651 z120612.0004.ec.fits: ap = 83, w1 = 4228.892, w2 = 4141.208, dw = -0.05314, nw = 1651 z120612.0004.ec.fits: ap = 84, w1 = 4198.034, w2 = 4110.989, dw = -0.05275, nw = 1651 z120612.0004.ec.fits: ap = 85, w1 = 4167.624, w2 = 4081.208, dw = -0.05237, nw = 1651 z120612.0004.ec.fits: ap = 86, w1 = 4137.651, w2 = 4051.856, dw = -0.052, nw = 1651 z120612.0004.ec.fits: ap = 87, w1 = 4108.106, w2 = 4022.924, dw = -0.05163, nw = 1651 z120612.0004.ec.fits: ap = 88, w1 = 4078.981, w2 = 3994.402, dw = -0.05126, nw = 1651 z120612.0004.ec.fits: ap = 89, w1 = 4050.266, w2 = 3966.281, dw = -0.0509, nw = 1651 z120612.0004.ec.fits: ap = 90, w1 = 4021.952, w2 = 3938.554, dw = -0.05054, nw = 1651 z120612.0004.ec.fits: ap = 91, w1 = 3994.033, w2 = 3911.213, dw = -0.05019, nw = 1651 z120612.0004.ec.fits: ap = 92, w1 = 3966.498, w2 = 3884.248, dw = -0.04985, nw = 1651 z120612.0004.ec.fits: ap = 93, w1 = 3939.341, w2 = 3857.653, dw = -0.04951, nw = 1651 z120612.0004.ec.fits: ap = 94, w1 = 3912.554, w2 = 3831.42, dw = -0.04917, nw = 1651 z120612.0004.ec.fits: ap = 95, w1 = 3886.128, w2 = 3805.541, dw = -0.04884, nw = 1651 z120612.0004.ec.fits: ap = 96, w1 = 3860.058, w2 = 3780.01, dw = -0.04851, nw = 1651 z120612.0004.ec.fits: ap = 97, w1 = 3834.335, w2 = 3754.82, dw = -0.04819, nw = 1651 z120612.0004.ec.fits: ap = 98, w1 = 3808.953, w2 = 3729.963, dw = -0.04787, nw = 1651 z120612.0004.ec.fits: ap = 99, w1 = 3783.906, w2 = 3705.433, dw = -0.04756, nw = 1651 z120612.0004.ec.fits: ap = 100, w1 = 3759.186, w2 = 3681.224, dw = -0.04725, nw = 1651 z120612.0004.ec.fits: ap = 101, w1 = 3734.787, w2 = 3657.33, dw = -0.04694, nw = 1651 z120612.0004.ec.fits: ap = 102, w1 = 3710.703, w2 = 3633.744, dw = -0.04664, nw = 1651 z120612.0004.ec.fits: ap = 103, w1 = 3686.928, w2 = 3610.46, dw = -0.04634, nw = 1651 z120612.0004.ec.fits: ap = 104, w1 = 3663.456, w2 = 3587.473, dw = -0.04605, nw = 1651 z120612.0004.ec.fits: ap = 105, w1 = 3640.282, w2 = 3564.777, dw = -0.04576, nw = 1651 z120612.0004.ec.fits: ap = 106, w1 = 3617.399, w2 = 3542.367, dw = -0.04547, nw = 1651 z120612.0004.ec.fits: ap = 107, w1 = 3594.803, w2 = 3520.237, dw = -0.04519, nw = 1651 Continuum fitting the spectra... Combining spectra... Dec 10 15:02: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120612.0021.ec.fits[ 1] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 2] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 3] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 4] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 5] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 6] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 7] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 8] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 9] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 10] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 11] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 12] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 13] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 14] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 15] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 16] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 17] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 18] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 19] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 20] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 21] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 22] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 23] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 24] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 25] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 26] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 27] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 28] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 29] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 30] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 31] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 32] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 33] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 34] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 35] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 36] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 37] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 38] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 39] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 40] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 41] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 42] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 43] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 44] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 45] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 46] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 47] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 48] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 49] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 50] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 51] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 52] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 53] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 54] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 55] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 56] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 57] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 58] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 59] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 60] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 61] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 62] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 63] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 64] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 65] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 66] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 67] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 68] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 69] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 70] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 71] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 72] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 73] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 74] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 75] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 76] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 77] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 78] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 79] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 80] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 81] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 82] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 83] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 84] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 85] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 86] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 87] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 88] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 89] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 90] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 91] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 92] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 93] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 94] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 95] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 96] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 97] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 98] 600.0 1.000 0. 0.009 120612.0021.ec.fits[ 99] 600.0 1.000 0. 0.009 120612.0021.ec.fits[100] 600.0 1.000 0. 0.009 120612.0021.ec.fits[101] 600.0 1.000 0. 0.009 120612.0021.ec.fits[102] 600.0 1.000 0. 0.009 120612.0021.ec.fits[103] 600.0 1.000 0. 0.009 120612.0021.ec.fits[104] 600.0 1.000 0. 0.009 120612.0021.ec.fits[105] 600.0 1.000 0. 0.009 120612.0021.ec.fits[106] 600.0 1.000 0. 0.009 120612.0021.ec.fits[107] 600.0 1.000 0. 0.009 Output image = sum120612.0021.ec.fits, ncombine = 107, exptime = 64200.01 w1 = 3520.237, w2 = 10649.25, dw = 0.045191, nw = 157754., dtype = 0 Dec 10 15:03: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120612.0022.ec.fits[ 1] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 2] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 3] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 4] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 5] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 6] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 7] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 8] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 9] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 10] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 11] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 12] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 13] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 14] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 15] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 16] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 17] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 18] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 19] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 20] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 21] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 22] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 23] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 24] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 25] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 26] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 27] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 28] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 29] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 30] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 31] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 32] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 33] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 34] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 35] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 36] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 37] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 38] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 39] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 40] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 41] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 42] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 43] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 44] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 45] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 46] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 47] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 48] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 49] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 50] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 51] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 52] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 53] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 54] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 55] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 56] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 57] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 58] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 59] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 60] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 61] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 62] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 63] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 64] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 65] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 66] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 67] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 68] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 69] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 70] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 71] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 72] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 73] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 74] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 75] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 76] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 77] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 78] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 79] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 80] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 81] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 82] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 83] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 84] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 85] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 86] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 87] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 88] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 89] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 90] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 91] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 92] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 93] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 94] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 95] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 96] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 97] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 98] 600.0 1.000 0. 0.009 120612.0022.ec.fits[ 99] 600.0 1.000 0. 0.009 120612.0022.ec.fits[100] 600.0 1.000 0. 0.009 120612.0022.ec.fits[101] 600.0 1.000 0. 0.009 120612.0022.ec.fits[102] 600.0 1.000 0. 0.009 120612.0022.ec.fits[103] 600.0 1.000 0. 0.009 120612.0022.ec.fits[104] 600.0 1.000 0. 0.009 120612.0022.ec.fits[105] 600.0 1.000 0. 0.009 120612.0022.ec.fits[106] 600.0 1.000 0. 0.009 120612.0022.ec.fits[107] 600.0 1.000 0. 0.009 Output image = sum120612.0022.ec.fits, ncombine = 107, exptime = 64200. w1 = 3520.237, w2 = 10649.25, dw = 0.045191, nw = 157754., dtype = 0 Dec 10 15:03: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120612.0023.ec.fits[ 1] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 2] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 3] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 4] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 5] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 6] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 7] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 8] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 9] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 10] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 11] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 12] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 13] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 14] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 15] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 16] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 17] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 18] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 19] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 20] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 21] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 22] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 23] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 24] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 25] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 26] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 27] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 28] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 29] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 30] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 31] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 32] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 33] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 34] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 35] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 36] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 37] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 38] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 39] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 40] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 41] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 42] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 43] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 44] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 45] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 46] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 47] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 48] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 49] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 50] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 51] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 52] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 53] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 54] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 55] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 56] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 57] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 58] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 59] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 60] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 61] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 62] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 63] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 64] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 65] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 66] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 67] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 68] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 69] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 70] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 71] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 72] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 73] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 74] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 75] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 76] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 77] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 78] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 79] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 80] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 81] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 82] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 83] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 84] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 85] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 86] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 87] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 88] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 89] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 90] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 91] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 92] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 93] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 94] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 95] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 96] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 97] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 98] 600.0 1.000 0. 0.009 120612.0023.ec.fits[ 99] 600.0 1.000 0. 0.009 120612.0023.ec.fits[100] 600.0 1.000 0. 0.009 120612.0023.ec.fits[101] 600.0 1.000 0. 0.009 120612.0023.ec.fits[102] 600.0 1.000 0. 0.009 120612.0023.ec.fits[103] 600.0 1.000 0. 0.009 120612.0023.ec.fits[104] 600.0 1.000 0. 0.009 120612.0023.ec.fits[105] 600.0 1.000 0. 0.009 120612.0023.ec.fits[106] 600.0 1.000 0. 0.009 120612.0023.ec.fits[107] 600.0 1.000 0. 0.009 Output image = sum120612.0023.ec.fits, ncombine = 107, exptime = 64200.03 w1 = 3520.237, w2 = 10649.25, dw = 0.045191, nw = 157754., dtype = 0 Dec 10 15:04: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120612.0024.ec.fits[ 1] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 2] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 3] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 4] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 5] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 6] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 7] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 8] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 9] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 10] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 11] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 12] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 13] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 14] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 15] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 16] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 17] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 18] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 19] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 20] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 21] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 22] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 23] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 24] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 25] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 26] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 27] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 28] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 29] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 30] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 31] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 32] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 33] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 34] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 35] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 36] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 37] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 38] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 39] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 40] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 41] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 42] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 43] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 44] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 45] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 46] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 47] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 48] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 49] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 50] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 51] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 52] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 53] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 54] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 55] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 56] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 57] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 58] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 59] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 60] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 61] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 62] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 63] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 64] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 65] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 66] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 67] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 68] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 69] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 70] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 71] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 72] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 73] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 74] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 75] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 76] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 77] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 78] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 79] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 80] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 81] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 82] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 83] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 84] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 85] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 86] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 87] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 88] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 89] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 90] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 91] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 92] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 93] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 94] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 95] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 96] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 97] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 98] 720.0 1.000 0. 0.009 120612.0024.ec.fits[ 99] 720.0 1.000 0. 0.009 120612.0024.ec.fits[100] 720.0 1.000 0. 0.009 120612.0024.ec.fits[101] 720.0 1.000 0. 0.009 120612.0024.ec.fits[102] 720.0 1.000 0. 0.009 120612.0024.ec.fits[103] 720.0 1.000 0. 0.009 120612.0024.ec.fits[104] 720.0 1.000 0. 0.009 120612.0024.ec.fits[105] 720.0 1.000 0. 0.009 120612.0024.ec.fits[106] 720.0 1.000 0. 0.009 120612.0024.ec.fits[107] 720.0 1.000 0. 0.009 Output image = sum120612.0024.ec.fits, ncombine = 107, exptime = 77040.01 w1 = 3520.237, w2 = 10649.25, dw = 0.045191, nw = 157754., dtype = 0 Dec 10 15:05: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120612.0025.ec.fits[ 1] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 2] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 3] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 4] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 5] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 6] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 7] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 8] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 9] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 10] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 11] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 12] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 13] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 14] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 15] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 16] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 17] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 18] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 19] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 20] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 21] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 22] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 23] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 24] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 25] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 26] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 27] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 28] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 29] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 30] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 31] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 32] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 33] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 34] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 35] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 36] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 37] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 38] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 39] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 40] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 41] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 42] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 43] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 44] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 45] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 46] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 47] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 48] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 49] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 50] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 51] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 52] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 53] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 54] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 55] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 56] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 57] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 58] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 59] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 60] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 61] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 62] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 63] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 64] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 65] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 66] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 67] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 68] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 69] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 70] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 71] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 72] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 73] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 74] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 75] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 76] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 77] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 78] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 79] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 80] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 81] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 82] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 83] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 84] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 85] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 86] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 87] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 88] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 89] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 90] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 91] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 92] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 93] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 94] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 95] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 96] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 97] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 98] 720.0 1.000 0. 0.009 120612.0025.ec.fits[ 99] 720.0 1.000 0. 0.009 120612.0025.ec.fits[100] 720.0 1.000 0. 0.009 120612.0025.ec.fits[101] 720.0 1.000 0. 0.009 120612.0025.ec.fits[102] 720.0 1.000 0. 0.009 120612.0025.ec.fits[103] 720.0 1.000 0. 0.009 120612.0025.ec.fits[104] 720.0 1.000 0. 0.009 120612.0025.ec.fits[105] 720.0 1.000 0. 0.009 120612.0025.ec.fits[106] 720.0 1.000 0. 0.009 120612.0025.ec.fits[107] 720.0 1.000 0. 0.009 Output image = sum120612.0025.ec.fits, ncombine = 107, exptime = 77040.01 w1 = 3520.237, w2 = 10649.25, dw = 0.045191, nw = 157754., dtype = 0 Dec 10 15:06: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120612.0026.ec.fits[ 1] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 2] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 3] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 4] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 5] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 6] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 7] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 8] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 9] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 10] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 11] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 12] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 13] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 14] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 15] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 16] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 17] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 18] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 19] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 20] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 21] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 22] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 23] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 24] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 25] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 26] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 27] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 28] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 29] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 30] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 31] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 32] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 33] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 34] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 35] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 36] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 37] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 38] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 39] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 40] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 41] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 42] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 43] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 44] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 45] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 46] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 47] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 48] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 49] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 50] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 51] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 52] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 53] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 54] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 55] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 56] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 57] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 58] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 59] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 60] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 61] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 62] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 63] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 64] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 65] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 66] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 67] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 68] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 69] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 70] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 71] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 72] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 73] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 74] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 75] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 76] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 77] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 78] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 79] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 80] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 81] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 82] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 83] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 84] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 85] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 86] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 87] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 88] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 89] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 90] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 91] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 92] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 93] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 94] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 95] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 96] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 97] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 98] 900.0 1.000 0. 0.009 120612.0026.ec.fits[ 99] 900.0 1.000 0. 0.009 120612.0026.ec.fits[100] 900.0 1.000 0. 0.009 120612.0026.ec.fits[101] 900.0 1.000 0. 0.009 120612.0026.ec.fits[102] 900.0 1.000 0. 0.009 120612.0026.ec.fits[103] 900.0 1.000 0. 0.009 120612.0026.ec.fits[104] 900.0 1.000 0. 0.009 120612.0026.ec.fits[105] 900.0 1.000 0. 0.009 120612.0026.ec.fits[106] 900.0 1.000 0. 0.009 120612.0026.ec.fits[107] 900.0 1.000 0. 0.009 Output image = sum120612.0026.ec.fits, ncombine = 107, exptime = 96299.99 w1 = 3520.237, w2 = 10649.25, dw = 0.045191, nw = 157754., dtype = 0 Dec 10 15:06: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120612.0027.ec.fits[ 1] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 2] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 3] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 4] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 5] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 6] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 7] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 8] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 9] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 10] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 11] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 12] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 13] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 14] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 15] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 16] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 17] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 18] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 19] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 20] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 21] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 22] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 23] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 24] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 25] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 26] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 27] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 28] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 29] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 30] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 31] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 32] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 33] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 34] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 35] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 36] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 37] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 38] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 39] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 40] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 41] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 42] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 43] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 44] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 45] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 46] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 47] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 48] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 49] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 50] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 51] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 52] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 53] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 54] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 55] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 56] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 57] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 58] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 59] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 60] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 61] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 62] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 63] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 64] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 65] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 66] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 67] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 68] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 69] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 70] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 71] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 72] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 73] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 74] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 75] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 76] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 77] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 78] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 79] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 80] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 81] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 82] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 83] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 84] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 85] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 86] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 87] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 88] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 89] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 90] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 91] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 92] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 93] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 94] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 95] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 96] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 97] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 98] 900.0 1.000 0. 0.009 120612.0027.ec.fits[ 99] 900.0 1.000 0. 0.009 120612.0027.ec.fits[100] 900.0 1.000 0. 0.009 120612.0027.ec.fits[101] 900.0 1.000 0. 0.009 120612.0027.ec.fits[102] 900.0 1.000 0. 0.009 120612.0027.ec.fits[103] 900.0 1.000 0. 0.009 120612.0027.ec.fits[104] 900.0 1.000 0. 0.009 120612.0027.ec.fits[105] 900.0 1.000 0. 0.009 120612.0027.ec.fits[106] 900.0 1.000 0. 0.009 120612.0027.ec.fits[107] 900.0 1.000 0. 0.009 Output image = sum120612.0027.ec.fits, ncombine = 107, exptime = 96299.99 w1 = 3520.237, w2 = 10649.25, dw = 0.045191, nw = 157754., dtype = 0 Dec 10 15:07: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120612.0028.ec.fits[ 1] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 2] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 3] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 4] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 5] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 6] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 7] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 8] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 9] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 10] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 11] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 12] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 13] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 14] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 15] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 16] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 17] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 18] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 19] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 20] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 21] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 22] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 23] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 24] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 25] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 26] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 27] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 28] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 29] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 30] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 31] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 32] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 33] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 34] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 35] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 36] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 37] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 38] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 39] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 40] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 41] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 42] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 43] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 44] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 45] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 46] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 47] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 48] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 49] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 50] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 51] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 52] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 53] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 54] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 55] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 56] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 57] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 58] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 59] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 60] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 61] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 62] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 63] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 64] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 65] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 66] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 67] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 68] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 69] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 70] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 71] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 72] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 73] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 74] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 75] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 76] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 77] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 78] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 79] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 80] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 81] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 82] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 83] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 84] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 85] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 86] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 87] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 88] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 89] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 90] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 91] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 92] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 93] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 94] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 95] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 96] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 97] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 98] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[ 99] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[100] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[101] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[102] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[103] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[104] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[105] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[106] 1200.0 1.000 0. 0.009 120612.0028.ec.fits[107] 1200.0 1.000 0. 0.009 Output image = sum120612.0028.ec.fits, ncombine = 107, exptime = 128400. w1 = 3520.237, w2 = 10649.25, dw = 0.045191, nw = 157754., dtype = 0 Dec 10 15:07: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120612.0029.ec.fits[ 1] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 2] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 3] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 4] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 5] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 6] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 7] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 8] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 9] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 10] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 11] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 12] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 13] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 14] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 15] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 16] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 17] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 18] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 19] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 20] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 21] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 22] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 23] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 24] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 25] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 26] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 27] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 28] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 29] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 30] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 31] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 32] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 33] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 34] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 35] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 36] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 37] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 38] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 39] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 40] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 41] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 42] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 43] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 44] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 45] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 46] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 47] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 48] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 49] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 50] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 51] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 52] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 53] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 54] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 55] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 56] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 57] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 58] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 59] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 60] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 61] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 62] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 63] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 64] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 65] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 66] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 67] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 68] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 69] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 70] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 71] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 72] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 73] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 74] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 75] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 76] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 77] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 78] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 79] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 80] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 81] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 82] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 83] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 84] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 85] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 86] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 87] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 88] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 89] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 90] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 91] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 92] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 93] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 94] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 95] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 96] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 97] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 98] 600.0 1.000 0. 0.009 120612.0029.ec.fits[ 99] 600.0 1.000 0. 0.009 120612.0029.ec.fits[100] 600.0 1.000 0. 0.009 120612.0029.ec.fits[101] 600.0 1.000 0. 0.009 120612.0029.ec.fits[102] 600.0 1.000 0. 0.009 120612.0029.ec.fits[103] 600.0 1.000 0. 0.009 120612.0029.ec.fits[104] 600.0 1.000 0. 0.009 120612.0029.ec.fits[105] 600.0 1.000 0. 0.009 120612.0029.ec.fits[106] 600.0 1.000 0. 0.009 120612.0029.ec.fits[107] 600.0 1.000 0. 0.009 Output image = sum120612.0029.ec.fits, ncombine = 107, exptime = 64200. w1 = 3520.237, w2 = 10649.25, dw = 0.045191, nw = 157754., dtype = 0 Dec 10 15:08: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120612.0030.ec.fits[ 1] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 2] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 3] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 4] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 5] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 6] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 7] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 8] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 9] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 10] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 11] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 12] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 13] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 14] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 15] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 16] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 17] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 18] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 19] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 20] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 21] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 22] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 23] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 24] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 25] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 26] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 27] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 28] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 29] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 30] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 31] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 32] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 33] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 34] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 35] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 36] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 37] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 38] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 39] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 40] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 41] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 42] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 43] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 44] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 45] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 46] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 47] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 48] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 49] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 50] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 51] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 52] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 53] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 54] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 55] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 56] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 57] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 58] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 59] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 60] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 61] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 62] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 63] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 64] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 65] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 66] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 67] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 68] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 69] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 70] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 71] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 72] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 73] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 74] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 75] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 76] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 77] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 78] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 79] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 80] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 81] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 82] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 83] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 84] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 85] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 86] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 87] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 88] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 89] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 90] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 91] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 92] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 93] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 94] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 95] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 96] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 97] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 98] 600.0 1.000 0. 0.009 120612.0030.ec.fits[ 99] 600.0 1.000 0. 0.009 120612.0030.ec.fits[100] 600.0 1.000 0. 0.009 120612.0030.ec.fits[101] 600.0 1.000 0. 0.009 120612.0030.ec.fits[102] 600.0 1.000 0. 0.009 120612.0030.ec.fits[103] 600.0 1.000 0. 0.009 120612.0030.ec.fits[104] 600.0 1.000 0. 0.009 120612.0030.ec.fits[105] 600.0 1.000 0. 0.009 120612.0030.ec.fits[106] 600.0 1.000 0. 0.009 120612.0030.ec.fits[107] 600.0 1.000 0. 0.009 Output image = sum120612.0030.ec.fits, ncombine = 107, exptime = 64200.01 w1 = 3520.237, w2 = 10649.25, dw = 0.045191, nw = 157754., dtype = 0 Dec 10 15:09: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120612.0031.ec.fits[ 1] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 2] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 3] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 4] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 5] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 6] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 7] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 8] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 9] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 10] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 11] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 12] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 13] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 14] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 15] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 16] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 17] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 18] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 19] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 20] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 21] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 22] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 23] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 24] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 25] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 26] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 27] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 28] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 29] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 30] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 31] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 32] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 33] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 34] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 35] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 36] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 37] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 38] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 39] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 40] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 41] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 42] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 43] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 44] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 45] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 46] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 47] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 48] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 49] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 50] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 51] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 52] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 53] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 54] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 55] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 56] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 57] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 58] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 59] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 60] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 61] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 62] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 63] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 64] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 65] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 66] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 67] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 68] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 69] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 70] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 71] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 72] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 73] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 74] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 75] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 76] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 77] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 78] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 79] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 80] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 81] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 82] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 83] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 84] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 85] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 86] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 87] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 88] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 89] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 90] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 91] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 92] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 93] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 94] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 95] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 96] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 97] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 98] 720.0 1.000 0. 0.009 120612.0031.ec.fits[ 99] 720.0 1.000 0. 0.009 120612.0031.ec.fits[100] 720.0 1.000 0. 0.009 120612.0031.ec.fits[101] 720.0 1.000 0. 0.009 120612.0031.ec.fits[102] 720.0 1.000 0. 0.009 120612.0031.ec.fits[103] 720.0 1.000 0. 0.009 120612.0031.ec.fits[104] 720.0 1.000 0. 0.009 120612.0031.ec.fits[105] 720.0 1.000 0. 0.009 120612.0031.ec.fits[106] 720.0 1.000 0. 0.009 120612.0031.ec.fits[107] 720.0 1.000 0. 0.009 Output image = sum120612.0031.ec.fits, ncombine = 107, exptime = 77039.99 w1 = 3520.237, w2 = 10649.25, dw = 0.045191, nw = 157754., dtype = 0 Dec 10 15:10: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120612.0021.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[100] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[101] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[102] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[103] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[104] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[105] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[106] 600.0 1.000 0. 0.009 fitcont120612.0021.ec.fits[107] 600.0 1.000 0. 0.009 Output image = sumfitcont120612.0021.ec.fits, ncombine = 107, exptime = 64200.01 w1 = 3520.237, w2 = 10649.25, dw = 0.045191, nw = 157754., dtype = 0 Dec 10 15:10: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120612.0022.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[100] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[101] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[102] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[103] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[104] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[105] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[106] 600.0 1.000 0. 0.009 fitcont120612.0022.ec.fits[107] 600.0 1.000 0. 0.009 Output image = sumfitcont120612.0022.ec.fits, ncombine = 107, exptime = 64200. w1 = 3520.237, w2 = 10649.25, dw = 0.045191, nw = 157754., dtype = 0 Dec 10 15:11: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120612.0023.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[100] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[101] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[102] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[103] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[104] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[105] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[106] 600.0 1.000 0. 0.009 fitcont120612.0023.ec.fits[107] 600.0 1.000 0. 0.009 Output image = sumfitcont120612.0023.ec.fits, ncombine = 107, exptime = 64200.03 w1 = 3520.237, w2 = 10649.25, dw = 0.045191, nw = 157754., dtype = 0 Dec 10 15:12: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120612.0024.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[100] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[101] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[102] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[103] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[104] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[105] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[106] 720.0 1.000 0. 0.009 fitcont120612.0024.ec.fits[107] 720.0 1.000 0. 0.009 Output image = sumfitcont120612.0024.ec.fits, ncombine = 107, exptime = 77040.01 w1 = 3520.237, w2 = 10649.25, dw = 0.045191, nw = 157754., dtype = 0 Dec 10 15:13: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120612.0025.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[100] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[101] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[102] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[103] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[104] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[105] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[106] 720.0 1.000 0. 0.009 fitcont120612.0025.ec.fits[107] 720.0 1.000 0. 0.009 Output image = sumfitcont120612.0025.ec.fits, ncombine = 107, exptime = 77040.01 w1 = 3520.237, w2 = 10649.25, dw = 0.045191, nw = 157754., dtype = 0 Dec 10 15:13: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120612.0026.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[100] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[101] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[102] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[103] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[104] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[105] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[106] 900.0 1.000 0. 0.009 fitcont120612.0026.ec.fits[107] 900.0 1.000 0. 0.009 Output image = sumfitcont120612.0026.ec.fits, ncombine = 107, exptime = 96299.99 w1 = 3520.237, w2 = 10649.25, dw = 0.045191, nw = 157754., dtype = 0 Dec 10 15:14: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120612.0027.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[100] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[101] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[102] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[103] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[104] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[105] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[106] 900.0 1.000 0. 0.009 fitcont120612.0027.ec.fits[107] 900.0 1.000 0. 0.009 Output image = sumfitcont120612.0027.ec.fits, ncombine = 107, exptime = 96299.99 w1 = 3520.237, w2 = 10649.25, dw = 0.045191, nw = 157754., dtype = 0 Dec 10 15:14: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120612.0028.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont120612.0028.ec.fits[107] 1200.0 1.000 0. 0.009 Output image = sumfitcont120612.0028.ec.fits, ncombine = 107, exptime = 128400. w1 = 3520.237, w2 = 10649.25, dw = 0.045191, nw = 157754., dtype = 0 Dec 10 15:15: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120612.0029.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[100] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[101] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[102] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[103] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[104] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[105] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[106] 600.0 1.000 0. 0.009 fitcont120612.0029.ec.fits[107] 600.0 1.000 0. 0.009 Output image = sumfitcont120612.0029.ec.fits, ncombine = 107, exptime = 64200. w1 = 3520.237, w2 = 10649.25, dw = 0.045191, nw = 157754., dtype = 0 Dec 10 15:15: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120612.0030.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[100] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[101] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[102] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[103] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[104] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[105] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[106] 600.0 1.000 0. 0.009 fitcont120612.0030.ec.fits[107] 600.0 1.000 0. 0.009 Output image = sumfitcont120612.0030.ec.fits, ncombine = 107, exptime = 64200.01 w1 = 3520.237, w2 = 10649.25, dw = 0.045191, nw = 157754., dtype = 0 Dec 10 15:16: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120612.0031.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[100] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[101] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[102] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[103] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[104] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[105] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[106] 720.0 1.000 0. 0.009 fitcont120612.0031.ec.fits[107] 720.0 1.000 0. 0.009 Output image = sumfitcont120612.0031.ec.fits, ncombine = 107, exptime = 77039.99 w1 = 3520.237, w2 = 10649.25, dw = 0.045191, nw = 157754., dtype = 0 64200.01 fullspec120612.0021.ec.fits,EXPTIME: 64200.01 -> 600.000093458 fullspec120612.0021.ec.fits updated 64200. fullspec120612.0022.ec.fits,EXPTIME: 64200. -> 600.0 fullspec120612.0022.ec.fits updated 64200.03 fullspec120612.0023.ec.fits,EXPTIME: 64200.03 -> 600.000280374 fullspec120612.0023.ec.fits updated 77040.01 fullspec120612.0024.ec.fits,EXPTIME: 77040.01 -> 720.000093458 fullspec120612.0024.ec.fits updated 77040.01 fullspec120612.0025.ec.fits,EXPTIME: 77040.01 -> 720.000093458 fullspec120612.0025.ec.fits updated 96299.99 fullspec120612.0026.ec.fits,EXPTIME: 96299.99 -> 899.999906542 fullspec120612.0026.ec.fits updated 96299.99 fullspec120612.0027.ec.fits,EXPTIME: 96299.99 -> 899.999906542 fullspec120612.0027.ec.fits updated 128400. fullspec120612.0028.ec.fits,EXPTIME: 128400. -> 1200.0 fullspec120612.0028.ec.fits updated 64200. fullspec120612.0029.ec.fits,EXPTIME: 64200. -> 600.0 fullspec120612.0029.ec.fits updated 64200.01 fullspec120612.0030.ec.fits,EXPTIME: 64200.01 -> 600.000093458 fullspec120612.0030.ec.fits updated 77039.99 fullspec120612.0031.ec.fits,EXPTIME: 77039.99 -> 719.999906542 fullspec120612.0031.ec.fits updated ALL DONE! Yay! (=^.^=)