Copying data files and other necessary files
Changing to reduced data directory
Generating file lists...
Setting dispaxis...
add 120903.0001.fits,dispaxis = 1
120903.0001.fits updated
add 120903.0002.fits,dispaxis = 1
120903.0002.fits updated
add 120903.0003.fits,dispaxis = 1
120903.0003.fits updated
add 120903.0004.fits,dispaxis = 1
120903.0004.fits updated
add 120903.0005.fits,dispaxis = 1
120903.0005.fits updated
add 120903.0006.fits,dispaxis = 1
120903.0006.fits updated
add 120903.0007.fits,dispaxis = 1
120903.0007.fits updated
add 120903.0008.fits,dispaxis = 1
120903.0008.fits updated
add 120903.0009.fits,dispaxis = 1
120903.0009.fits updated
add 120903.0010.fits,dispaxis = 1
120903.0010.fits updated
add 120903.0011.fits,dispaxis = 1
120903.0011.fits updated
add 120903.0012.fits,dispaxis = 1
120903.0012.fits updated
add 120903.0013.fits,dispaxis = 1
120903.0013.fits updated
add 120903.0014.fits,dispaxis = 1
120903.0014.fits updated
add 120903.0015.fits,dispaxis = 1
120903.0015.fits updated
add 120903.0016.fits,dispaxis = 1
120903.0016.fits updated
add 120903.0017.fits,dispaxis = 1
120903.0017.fits updated
add 120903.0018.fits,dispaxis = 1
120903.0018.fits updated
add 120903.0019.fits,dispaxis = 1
120903.0019.fits updated
add 120903.0020.fits,dispaxis = 1
120903.0020.fits updated
add 120903.0021.fits,dispaxis = 1
120903.0021.fits updated
add 120903.0022.fits,dispaxis = 1
120903.0022.fits updated
add 120903.0023.fits,dispaxis = 1
120903.0023.fits updated
add 120903.0024.fits,dispaxis = 1
120903.0024.fits updated
add 120903.0025.fits,dispaxis = 1
120903.0025.fits updated
add 120903.0026.fits,dispaxis = 1
120903.0026.fits updated
add 120903.0027.fits,dispaxis = 1
120903.0027.fits updated
add 120903.0028.fits,dispaxis = 1
120903.0028.fits updated
FIXPIX: image 120903.0005.fits with mask echmask.pl
FIXPIX: image 120903.0006.fits with mask echmask.pl
FIXPIX: image 120903.0007.fits with mask echmask.pl
FIXPIX: image 120903.0016.fits with mask echmask.pl
FIXPIX: image 120903.0017.fits with mask echmask.pl
FIXPIX: image 120903.0018.fits with mask echmask.pl
FIXPIX: image 120903.0008.fits with mask echmask.pl
FIXPIX: image 120903.0009.fits with mask echmask.pl
FIXPIX: image 120903.0010.fits with mask echmask.pl
FIXPIX: image 120903.0011.fits with mask echmask.pl
FIXPIX: image 120903.0012.fits with mask echmask.pl
FIXPIX: image 120903.0013.fits with mask echmask.pl
FIXPIX: image 120903.0014.fits with mask echmask.pl
FIXPIX: image 120903.0015.fits with mask echmask.pl
FIXPIX: image 120903.0001.fits with mask echmask.pl
FIXPIX: image 120903.0002.fits with mask echmask.pl
FIXPIX: image 120903.0003.fits with mask echmask.pl
FIXPIX: image 120903.0004.fits with mask echmask.pl

Dec 10 12:02: IMCOMBINE
  combine = median, scale = none, zero = none, weight = none
  blank = 0.
                Images     Exp
       120903.0019.fits    0.0
       120903.0020.fits    0.0
       120903.0021.fits    0.9
       120903.0022.fits    0.0
       120903.0023.fits    0.9
       120903.0024.fits    0.0
       120903.0025.fits    0.9
       120903.0026.fits    0.0
       120903.0027.fits    0.9
       120903.0028.fits    0.0

  Output image = bias_fid, ncombine = 10
Calibrating object images and flats (bias, and trimming)...
120903.0008.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048]
bias_fid: Dec 10 12:02 Trim data section is [200:1850,1:2048]
120903.0008.fits: Dec 10 12:02 Zero level correction image is bias_fid
120903.0009.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048]
120903.0009.fits: Dec 10 12:02 Zero level correction image is bias_fid
120903.0010.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048]
120903.0010.fits: Dec 10 12:02 Zero level correction image is bias_fid
120903.0011.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048]
120903.0011.fits: Dec 10 12:02 Zero level correction image is bias_fid
120903.0012.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048]
120903.0012.fits: Dec 10 12:02 Zero level correction image is bias_fid
120903.0013.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048]
120903.0013.fits: Dec 10 12:02 Zero level correction image is bias_fid
120903.0014.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048]
120903.0014.fits: Dec 10 12:02 Zero level correction image is bias_fid
120903.0015.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048]
120903.0015.fits: Dec 10 12:02 Zero level correction image is bias_fid
Calibrating object images and flats (bias, and trimming)...
120903.0005.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048]
120903.0005.fits: Dec 10 12:02 Zero level correction image is bias_fid
120903.0006.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048]
120903.0006.fits: Dec 10 12:02 Zero level correction image is bias_fid
120903.0007.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048]
120903.0007.fits: Dec 10 12:02 Zero level correction image is bias_fid
Calibrating object images and flats (bias, and trimming)...
120903.0016.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048]
120903.0016.fits: Dec 10 12:02 Zero level correction image is bias_fid
120903.0017.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048]
120903.0017.fits: Dec 10 12:02 Zero level correction image is bias_fid
120903.0018.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048]
120903.0018.fits: Dec 10 12:02 Zero level correction image is bias_fid
Calibrating ThAr arcs...
120903.0001.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048]
120903.0001.fits: Dec 10 12:02 Zero level correction image is bias_fid
120903.0002.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048]
120903.0002.fits: Dec 10 12:02 Zero level correction image is bias_fid
120903.0003.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048]
120903.0003.fits: Dec 10 12:02 Zero level correction image is bias_fid
120903.0004.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048]
120903.0004.fits: Dec 10 12:02 Zero level correction image is bias_fid
Combining red and blue flats into separate fiducial flats...

Dec 10 12:03: IMCOMBINE
  combine = median, scale = none, zero = none, weight = none
  reject = avsigclip, mclip = yes, nkeep = 1
  lsigma = 3., hsigma = 3.
  blank = 1.
                Images     Exp
       120903.0016.fits  200.0
       120903.0017.fits  200.0
       120903.0018.fits  200.0

  Output image = flat_blue_mean.fits, ncombine = 3

Dec 10 12:03: IMCOMBINE
  combine = median, scale = none, zero = none, weight = none
  reject = avsigclip, mclip = yes, nkeep = 1
  lsigma = 3., hsigma = 3.
  blank = 1.
                Images     Exp
       120903.0005.fits    7.0
       120903.0006.fits    7.0
       120903.0007.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 12:03: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1589.
Dec 10 12:03: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1590.
Dec 10 12:03: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1605.
Dec 10 12:03: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 1606.
Dec 10 12:03: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1607.
Dec 10 12:03: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 1608.
Dec 10 12:03: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1630.
Dec 10 12:03: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 1631.
Dec 10 12:03: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1642.
Dec 10 12:03: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1643.
Dec 10 12:03: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 1644.
Dec 10 12:03: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1570.
Dec 10 12:03: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1571.
Dec 10 12:03: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 115.
Dec 10 12:03: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 114.
Dec 10 12:03: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1563.
Dec 10 12:03: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1564.
Dec 10 12:03: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1565.
Dec 10 12:03: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 129.
Dec 10 12:03: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 128.
Dec 10 12:03: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 116.
Dec 10 12:03: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 115.
Dec 10 12:03: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 114.
Dec 10 12:03: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1494.
Dec 10 12:03: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1495.
Dec 10 12:03: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1496.
Dec 10 12:03: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 118.
Dec 10 12:03: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 117.
Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1553.
Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1554.
Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1570.
Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1571.
Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1595.
Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1596.
Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1607.
Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1608.
Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1609.
Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1618.
Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1619.
Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1620.
Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1634.
Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1635.
Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1644.
Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1645.
Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1646.
Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 167.
Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 166.
Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 154.
Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 153.
Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 135.
Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 134.
Dec 10 12:03: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1480.
Dec 10 12:03: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1481.
Dec 10 12:03: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1482.
Dec 10 12:03: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 218.
Dec 10 12:03: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 217.
Dec 10 12:03: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 216.
Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1472.
Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1473.
Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1543.
Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1544.
Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1545.
Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1558.
Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1559.
Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1561.
Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1562.
Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1582.
Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1583.
Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1584.
Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1596.
Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1597.
Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1602.
Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1603.
Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1610.
Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1611.
Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1612.
Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 218.
Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 217.
Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 216.
Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 192.
Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 191.
Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 161.
Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 160.
Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 158.
Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 157.
Dec 10 12:03: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1388.
Dec 10 12:03: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1389.
Dec 10 12:03: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1396.
Dec 10 12:03: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1397.
Dec 10 12:03: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1403.
Dec 10 12:03: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1404.
Dec 10 12:03: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1405.
Dec 10 12:03: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 265.
Dec 10 12:03: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 264.
Dec 10 12:03: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 263.
Dec 10 12:03: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 206.
Dec 10 12:03: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 205.
Dec 10 12:03: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 204.
Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1372.
Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1373.
Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1374.
Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 257.
Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 256.
Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 224.
Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 223.
Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 165.
Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 164.
Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 159.
Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 158.
Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 157.
Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 147.
Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 146.
Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 129.
Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 128.
Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 127.
Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 123.
Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 122.
Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 120.
Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 119.
Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 112.
Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 111.
Dec 10 12:03: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1374.
Dec 10 12:03: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1375.
Dec 10 12:03: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1376.
Dec 10 12:03: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1480.
Dec 10 12:03: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1481.
Dec 10 12:03: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1482.
Dec 10 12:03: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1488.
Dec 10 12:03: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1489.
Dec 10 12:03: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1490.
Dec 10 12:03: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1510.
Dec 10 12:03: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1511.
Dec 10 12:03: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1512.
Dec 10 12:03: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 270.
Dec 10 12:03: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 269.
Dec 10 12:03: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 268.
Dec 10 12:03: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1268.
Dec 10 12:03: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1269.
Dec 10 12:03: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1270.
Dec 10 12:03: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 292.
Dec 10 12:03: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 291.
Dec 10 12:03: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 290.
Dec 10 12:03: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 263.
Dec 10 12:03: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 262.
Dec 10 12:03: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 261.
Dec 10 12:03: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 225.
Dec 10 12:03: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 224.
Dec 10 12:03: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 223.
Dec 10 12:03: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 211.
Dec 10 12:03: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 210.
Dec 10 12:03: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 209.
Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1185.
Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1186.
Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1235.
Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1236.
Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1259.
Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1260.
Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1261.
Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 384.
Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 383.
Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 326.
Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 325.
Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 321.
Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 320.
Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 306.
Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 305.
Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 281.
Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 280.
Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 279.
Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 278.
Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 277.
Dec 10 12:03: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1042.
Dec 10 12:03: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1043.
Dec 10 12:03: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1159.
Dec 10 12:03: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1160.
Dec 10 12:03: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1161.
Dec 10 12:03: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1230.
Dec 10 12:03: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1231.
Dec 10 12:03: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1232.
Dec 10 12:03: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 357.
Dec 10 12:03: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 356.
Dec 10 12:03: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 332.
Dec 10 12:03: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 331.
Dec 10 12:03: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 306.
Dec 10 12:03: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 305.
Dec 10 12:03: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 304.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 904.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 905.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 928.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 929.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 942.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 943.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1058.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1059.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1125.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1126.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1152.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1153.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1154.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 466.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 465.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 409.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 408.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 392.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 391.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 336.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 335.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 325.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 324.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 323.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 320.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 319.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 318.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 309.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 308.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 286.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 285.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 278.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 277.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 261.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 260.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 258.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 257.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 256.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 251.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 250.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 248.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 247.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 229.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 228.
Dec 10 12:03: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 227.
Normalizing the superflat...
flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits
IMARITH:
  Operation = +
  Operand1 = nonorm_flat_fid_mag.ec.fits
  Operand2 = 16.04
  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...

120903.0001.fits
  Magnify image 120903.0001.fits to image 120903.0001.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
120903.0001.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189]
120903.0001.fits updated
Applying model apertures to the arc and extracting spectra...
Resampling the arc by a factor of 4 in the y direction...

120903.0002.fits
  Magnify image 120903.0002.fits to image 120903.0002.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
120903.0002.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189]
120903.0002.fits updated
Applying model apertures to the arc and extracting spectra...
Resampling the arc by a factor of 4 in the y direction...

120903.0003.fits
  Magnify image 120903.0003.fits to image 120903.0003.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
120903.0003.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189]
120903.0003.fits updated
Applying model apertures to the arc and extracting spectra...
Resampling the arc by a factor of 4 in the y direction...

120903.0004.fits
  Magnify image 120903.0004.fits to image 120903.0004.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
120903.0004.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189]
120903.0004.fits updated
Applying model apertures to the arc and extracting spectra...
Resampling the object by a factor of 4 in the y direction...

120903.0008
  Magnify image 120903.0008 to image 120903.0008.
  Interpolation is linear.
  Boundary extension is nearest.
  Output coordinates in terms of input coordinates:
    x1 =         1., x2 =      1651., dx =         1.
    y1 =         1., y2 =      2048., dy =       0.25
120903.0008,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189]
120903.0008 updated
Applying model apertures to the object...
Removing scattered inter-order light from the spectrum...
120903.0008 -> noscat120903.0008
Removing scattered light with apscatter...
Fine-tuning apertures and extracting spectra...
Dec 10 12:04: EXTRACT: WARNING - Aperture 1:
Dec 10 12:04:    Total variance weighted spectrum flux is 3708.834
Dec 10 12:04:    Total unweighted spectrum flux is 1588.348
Dec 10 12:04: EXTRACT: Aperture 1 variance spectrum bias factor is 0.4282607
Dec 10 12:04: EXTRACT: WARNING - Aperture 2:
Dec 10 12:04:    Total variance weighted spectrum flux is 8809.376
Dec 10 12:04:    Total unweighted spectrum flux is 3296.79
Dec 10 12:04: EXTRACT: Aperture 2 variance spectrum bias factor is 0.3742365
Dec 10 12:05: EXTRACT: WARNING - Aperture 109:
Dec 10 12:05:    Total variance weighted spectrum flux is 8327.255
Dec 10 12:05:    Total unweighted spectrum flux is 2711.714
Dec 10 12:05: EXTRACT: Aperture 109 variance spectrum bias factor is 0.3256432
Dec 10 12:05: EXTRACT: WARNING - Aperture 112:
Dec 10 12:05:    Total variance weighted spectrum flux is 10271.51
Dec 10 12:05:    Total unweighted spectrum flux is 3280.847
Dec 10 12:05: EXTRACT: Aperture 112 variance spectrum bias factor is 0.3194124
Dec 10 12:05: EXTRACT: WARNING - Aperture 113:
Dec 10 12:05:    Total variance weighted spectrum flux is 5821.74
Dec 10 12:05:    Total unweighted spectrum flux is 977.3837
Dec 10 12:05: EXTRACT: Aperture 113 variance spectrum bias factor is 0.1678852
Dec 10 12:05: EXTRACT: WARNING - Aperture 114:
Dec 10 12:05:    Total variance weighted spectrum flux is 6471.896
Dec 10 12:05:    Total unweighted spectrum flux is 2392.652
Dec 10 12:05: EXTRACT: Aperture 114 variance spectrum bias factor is 0.3696988
Dec 10 12:05: EXTRACT: WARNING - Aperture 115:
Dec 10 12:05:    Total variance weighted spectrum flux is 3632.639
Dec 10 12:05:    Total unweighted spectrum flux is 920.6799
Dec 10 12:05: EXTRACT: Aperture 115 variance spectrum bias factor is 0.2534465
Resampling the object by a factor of 4 in the y direction...

120903.0009
  Magnify image 120903.0009 to image 120903.0009.
  Interpolation is linear.
  Boundary extension is nearest.
  Output coordinates in terms of input coordinates:
    x1 =         1., x2 =      1651., dx =         1.
    y1 =         1., y2 =      2048., dy =       0.25
120903.0009,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189]
120903.0009 updated
Applying model apertures to the object...
Removing scattered inter-order light from the spectrum...
120903.0009 -> noscat120903.0009
Removing scattered light with apscatter...
Fine-tuning apertures and extracting spectra...
Dec 10 12:07: EXTRACT: WARNING - Aperture 104:
Dec 10 12:07:    Total variance weighted spectrum flux is 7931.058
Dec 10 12:07:    Total unweighted spectrum flux is 2471.959
Dec 10 12:07: EXTRACT: Aperture 104 variance spectrum bias factor is 0.3116809
Dec 10 12:07: EXTRACT: WARNING - Aperture 105:
Dec 10 12:07:    Total variance weighted spectrum flux is 6970.581
Dec 10 12:07:    Total unweighted spectrum flux is 2795.354
Dec 10 12:07: EXTRACT: Aperture 105 variance spectrum bias factor is 0.4010217
Dec 10 12:07: EXTRACT: WARNING - Aperture 106:
Dec 10 12:07:    Total variance weighted spectrum flux is 10098.49
Dec 10 12:07:    Total unweighted spectrum flux is 3499.452
Dec 10 12:07: EXTRACT: Aperture 106 variance spectrum bias factor is 0.3465324
Dec 10 12:07: EXTRACT: WARNING - Aperture 107:
Dec 10 12:07:    Total variance weighted spectrum flux is 4016.111
Dec 10 12:07:    Total unweighted spectrum flux is 1185.835
Dec 10 12:07: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2952695
Dec 10 12:07: EXTRACT: WARNING - Aperture 108:
Dec 10 12:07:    Total variance weighted spectrum flux is 12498.92
Dec 10 12:07:    Total unweighted spectrum flux is 4929.71
Dec 10 12:07: EXTRACT: Aperture 108 variance spectrum bias factor is 0.3944108
Dec 10 12:07: EXTRACT: WARNING - Aperture 109:
Dec 10 12:07:    Total variance weighted spectrum flux is 5744.532
Dec 10 12:07:    Total unweighted spectrum flux is 447.9176
Dec 10 12:07: EXTRACT: Aperture 109 variance spectrum bias factor is 0.07797287
Dec 10 12:07: EXTRACT: WARNING - Aperture 110:
Dec 10 12:07:    Total variance weighted spectrum flux is 3565.081
Dec 10 12:07:    Total unweighted spectrum flux is 1199.995
Dec 10 12:07: EXTRACT: Aperture 110 variance spectrum bias factor is 0.3365967
Dec 10 12:07: EXTRACT: WARNING - Aperture 111:
Dec 10 12:07:    Total variance weighted spectrum flux is 15835.74
Dec 10 12:07:    Total unweighted spectrum flux is 6504.598
Dec 10 12:07: EXTRACT: Aperture 111 variance spectrum bias factor is 0.4107542
Dec 10 12:07: EXTRACT: WARNING - Aperture 112:
Dec 10 12:07:    Total variance weighted spectrum flux is 6236.422
Dec 10 12:07:    Total unweighted spectrum flux is 829.0984
Dec 10 12:07: EXTRACT: Aperture 112 variance spectrum bias factor is 0.1329446
Dec 10 12:07: EXTRACT: WARNING - Aperture 113:
Dec 10 12:07:    Total variance weighted spectrum flux is 2891.365
Dec 10 12:07:    Total unweighted spectrum flux is 1327.853
Dec 10 12:07: EXTRACT: Aperture 113 variance spectrum bias factor is 0.4592479
Dec 10 12:07: EXTRACT: WARNING - Aperture 114:
Dec 10 12:07:    Total variance weighted spectrum flux is 2837.55
Dec 10 12:07:    Total unweighted spectrum flux is 1119.478
Dec 10 12:07: EXTRACT: Aperture 114 variance spectrum bias factor is 0.3945225
Dec 10 12:07: EXTRACT: WARNING - Aperture 115:
Dec 10 12:07:    Total variance weighted spectrum flux is 2713.26
Dec 10 12:07:    Total unweighted spectrum flux is 828.7642
Dec 10 12:07: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3054496
Resampling the object by a factor of 4 in the y direction...

120903.0010
  Magnify image 120903.0010 to image 120903.0010.
  Interpolation is linear.
  Boundary extension is nearest.
  Output coordinates in terms of input coordinates:
    x1 =         1., x2 =      1651., dx =         1.
    y1 =         1., y2 =      2048., dy =       0.25
120903.0010,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189]
120903.0010 updated
Applying model apertures to the object...
Removing scattered inter-order light from the spectrum...
120903.0010 -> noscat120903.0010
Removing scattered light with apscatter...
Fine-tuning apertures and extracting spectra...
Dec 10 12:09: EXTRACT: WARNING - Aperture 100:
Dec 10 12:09:    Total variance weighted spectrum flux is 13756.81
Dec 10 12:09:    Total unweighted spectrum flux is 6113.921
Dec 10 12:09: EXTRACT: Aperture 100 variance spectrum bias factor is 0.4444287
Dec 10 12:09: EXTRACT: WARNING - Aperture 103:
Dec 10 12:09:    Total variance weighted spectrum flux is 4829.992
Dec 10 12:09:    Total unweighted spectrum flux is 1594.376
Dec 10 12:09: EXTRACT: Aperture 103 variance spectrum bias factor is 0.3300991
Dec 10 12:09: EXTRACT: WARNING - Aperture 106:
Dec 10 12:09:    Total variance weighted spectrum flux is 6285.262
Dec 10 12:09:    Total unweighted spectrum flux is 364.5356
Dec 10 12:09: EXTRACT: Aperture 106 variance spectrum bias factor is 0.05799847
Dec 10 12:09: EXTRACT: WARNING - Aperture 107:
Dec 10 12:09:    Total variance weighted spectrum flux is 7077.641
Dec 10 12:09:    Total unweighted spectrum flux is 732.5834
Dec 10 12:09: EXTRACT: Aperture 107 variance spectrum bias factor is 0.1035067
Dec 10 12:09: EXTRACT: WARNING - Aperture 108:
Dec 10 12:09:    Total variance weighted spectrum flux is 9715.824
Dec 10 12:09:    Total unweighted spectrum flux is 3028.343
Dec 10 12:09: EXTRACT: Aperture 108 variance spectrum bias factor is 0.3116919
Dec 10 12:09: EXTRACT: WARNING - Aperture 109:
Dec 10 12:09:    Total variance weighted spectrum flux is 6579.364
Dec 10 12:09:    Total unweighted spectrum flux is 1508.315
Dec 10 12:09: EXTRACT: Aperture 109 variance spectrum bias factor is 0.2292493
Dec 10 12:09: EXTRACT: WARNING - Aperture 110:
Dec 10 12:09:    Total variance weighted spectrum flux is 4116.583
Dec 10 12:09:    Total unweighted spectrum flux is 1541.446
Dec 10 12:09: EXTRACT: Aperture 110 variance spectrum bias factor is 0.374448
Dec 10 12:09: EXTRACT: WARNING - Aperture 111:
Dec 10 12:09:    Total variance weighted spectrum flux is 9366.479
Dec 10 12:09:    Total unweighted spectrum flux is 1078.937
Dec 10 12:09: EXTRACT: Aperture 111 variance spectrum bias factor is 0.1151913
Dec 10 12:09: EXTRACT: WARNING - Aperture 112:
Dec 10 12:09:    Total variance weighted spectrum flux is 3514.407
Dec 10 12:09:    Total unweighted spectrum flux is 231.0404
Dec 10 12:09: EXTRACT: Aperture 112 variance spectrum bias factor is 0.06574093
Dec 10 12:09: EXTRACT: WARNING - Aperture 113:
Dec 10 12:09:    Total variance weighted spectrum flux is 5310.79
Dec 10 12:09:    Total unweighted spectrum flux is 1282.973
Dec 10 12:09: EXTRACT: Aperture 113 variance spectrum bias factor is 0.2415785
Dec 10 12:09: EXTRACT: WARNING - Aperture 114:
Dec 10 12:09:    Total variance weighted spectrum flux is 1608.977
Dec 10 12:09:    Total unweighted spectrum flux is 17.60137
Dec 10 12:09: EXTRACT: Aperture 114 variance spectrum bias factor is 0.01093948
Dec 10 12:09: EXTRACT: WARNING - Aperture 115:
Dec 10 12:09:    Total variance weighted spectrum flux is 8299.096
Dec 10 12:09:    Total unweighted spectrum flux is 2090.4
Dec 10 12:09: EXTRACT: Aperture 115 variance spectrum bias factor is 0.2518828
Resampling the object by a factor of 4 in the y direction...

120903.0011
  Magnify image 120903.0011 to image 120903.0011.
  Interpolation is linear.
  Boundary extension is nearest.
  Output coordinates in terms of input coordinates:
    x1 =         1., x2 =      1651., dx =         1.
    y1 =         1., y2 =      2048., dy =       0.25
120903.0011,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189]
120903.0011 updated
Applying model apertures to the object...
Removing scattered inter-order light from the spectrum...
120903.0011 -> noscat120903.0011
Removing scattered light with apscatter...
Fine-tuning apertures and extracting spectra...
Dec 10 12:11: EXTRACT: WARNING - Aperture 100:
Dec 10 12:11:    Total variance weighted spectrum flux is 7702.488
Dec 10 12:11:    Total unweighted spectrum flux is 2673.528
Dec 10 12:11: EXTRACT: Aperture 100 variance spectrum bias factor is 0.3470993
Dec 10 12:11: EXTRACT: WARNING - Aperture 103:
Dec 10 12:11:    Total variance weighted spectrum flux is 11083.23
Dec 10 12:11:    Total unweighted spectrum flux is 4900.247
Dec 10 12:11: EXTRACT: Aperture 103 variance spectrum bias factor is 0.4421315
Dec 10 12:11: EXTRACT: WARNING - Aperture 104:
Dec 10 12:11:    Total variance weighted spectrum flux is 13262.81
Dec 10 12:11:    Total unweighted spectrum flux is 6073.681
Dec 10 12:11: EXTRACT: Aperture 104 variance spectrum bias factor is 0.4579484
Dec 10 12:11: EXTRACT: WARNING - Aperture 105:
Dec 10 12:11:    Total variance weighted spectrum flux is 8406.51
Dec 10 12:11:    Total unweighted spectrum flux is 3638.754
Dec 10 12:11: EXTRACT: Aperture 105 variance spectrum bias factor is 0.4328496
Dec 10 12:11: EXTRACT: WARNING - Aperture 106:
Dec 10 12:11:    Total variance weighted spectrum flux is 12872.22
Dec 10 12:11:    Total unweighted spectrum flux is 3982.714
Dec 10 12:11: EXTRACT: Aperture 106 variance spectrum bias factor is 0.3094039
Dec 10 12:11: EXTRACT: WARNING - Aperture 107:
Dec 10 12:11:    Total variance weighted spectrum flux is 8789.218
Dec 10 12:11:    Total unweighted spectrum flux is 1938.618
Dec 10 12:11: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2205678
Dec 10 12:11: EXTRACT: WARNING - Aperture 108:
Dec 10 12:11:    Total variance weighted spectrum flux is 9989.169
Dec 10 12:11:    Total unweighted spectrum flux is 4165.934
Dec 10 12:11: EXTRACT: Aperture 108 variance spectrum bias factor is 0.4170451
Dec 10 12:11: EXTRACT: WARNING - Aperture 109:
Dec 10 12:11:    Total variance weighted spectrum flux is 5392.825
Dec 10 12:11:    Total unweighted spectrum flux is 1869.557
Dec 10 12:11: EXTRACT: Aperture 109 variance spectrum bias factor is 0.346675
Dec 10 12:11: EXTRACT: WARNING - Aperture 110:
Dec 10 12:11:    Total variance weighted spectrum flux is 3197.491
Dec 10 12:11:    Total unweighted spectrum flux is 1061.329
Dec 10 12:11: EXTRACT: Aperture 110 variance spectrum bias factor is 0.3319256
Dec 10 12:11: EXTRACT: WARNING - Aperture 111:
Dec 10 12:11:    Total variance weighted spectrum flux is 7895.935
Dec 10 12:11:    Total unweighted spectrum flux is 23.95218
Dec 10 12:11: EXTRACT: Aperture 111 variance spectrum bias factor is 0.003033482
Dec 10 12:11: EXTRACT: WARNING - Aperture 112:
Dec 10 12:11:    Total variance weighted spectrum flux is 4811.211
Dec 10 12:11:    Total unweighted spectrum flux is -115.3213
Dec 10 12:11:    Variance spectrum bias factor ignored
Dec 10 12:11: EXTRACT: WARNING - Aperture 113:
Dec 10 12:11:    Total variance weighted spectrum flux is 2423.22
Dec 10 12:11:    Total unweighted spectrum flux is 965.9877
Dec 10 12:11: EXTRACT: Aperture 113 variance spectrum bias factor is 0.398638
Dec 10 12:11: EXTRACT: WARNING - Aperture 114:
Dec 10 12:11:    Total variance weighted spectrum flux is 2241.068
Dec 10 12:11:    Total unweighted spectrum flux is 433.6998
Dec 10 12:11: EXTRACT: Aperture 114 variance spectrum bias factor is 0.1935237
Dec 10 12:11: EXTRACT: WARNING - Aperture 115:
Dec 10 12:11:    Total variance weighted spectrum flux is 3415.552
Dec 10 12:11:    Total unweighted spectrum flux is 704.0249
Dec 10 12:11: EXTRACT: Aperture 115 variance spectrum bias factor is 0.2061233
Resampling the object by a factor of 4 in the y direction...

120903.0012
  Magnify image 120903.0012 to image 120903.0012.
  Interpolation is linear.
  Boundary extension is nearest.
  Output coordinates in terms of input coordinates:
    x1 =         1., x2 =      1651., dx =         1.
    y1 =         1., y2 =      2048., dy =       0.25
120903.0012,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189]
120903.0012 updated
Applying model apertures to the object...
Removing scattered inter-order light from the spectrum...
120903.0012 -> noscat120903.0012
Removing scattered light with apscatter...
Fine-tuning apertures and extracting spectra...
Dec 10 12:12: EXTRACT: WARNING - Aperture 1:
Dec 10 12:12:    Total variance weighted spectrum flux is 8082.652
Dec 10 12:12:    Total unweighted spectrum flux is 3637.377
Dec 10 12:12: EXTRACT: Aperture 1 variance spectrum bias factor is 0.4500227
Dec 10 12:13: EXTRACT: WARNING - Aperture 99:
Dec 10 12:13:    Total variance weighted spectrum flux is 8201.232
Dec 10 12:13:    Total unweighted spectrum flux is 4009.929
Dec 10 12:13: EXTRACT: Aperture 99 variance spectrum bias factor is 0.4889423
Dec 10 12:13: EXTRACT: WARNING - Aperture 102:
Dec 10 12:13:    Total variance weighted spectrum flux is 5122.647
Dec 10 12:13:    Total unweighted spectrum flux is -1252.072
Dec 10 12:13:    Variance spectrum bias factor ignored
Dec 10 12:13: EXTRACT: WARNING - Aperture 103:
Dec 10 12:13:    Total variance weighted spectrum flux is 9465.035
Dec 10 12:13:    Total unweighted spectrum flux is 4465.337
Dec 10 12:13: EXTRACT: Aperture 103 variance spectrum bias factor is 0.4717718
Dec 10 12:13: EXTRACT: WARNING - Aperture 104:
Dec 10 12:13:    Total variance weighted spectrum flux is 10092.07
Dec 10 12:13:    Total unweighted spectrum flux is 4275.885
Dec 10 12:13: EXTRACT: Aperture 104 variance spectrum bias factor is 0.4236876
Dec 10 12:13: EXTRACT: WARNING - Aperture 105:
Dec 10 12:13:    Total variance weighted spectrum flux is 6231.174
Dec 10 12:13:    Total unweighted spectrum flux is 2973.966
Dec 10 12:13: EXTRACT: Aperture 105 variance spectrum bias factor is 0.4772722
Dec 10 12:13: EXTRACT: WARNING - Aperture 106:
Dec 10 12:13:    Total variance weighted spectrum flux is 4652.397
Dec 10 12:13:    Total unweighted spectrum flux is 1006.572
Dec 10 12:13: EXTRACT: Aperture 106 variance spectrum bias factor is 0.2163555
Dec 10 12:13: EXTRACT: WARNING - Aperture 107:
Dec 10 12:13:    Total variance weighted spectrum flux is 3348.732
Dec 10 12:13:    Total unweighted spectrum flux is 793.2732
Dec 10 12:13: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2368876
Dec 10 12:13: EXTRACT: WARNING - Aperture 108:
Dec 10 12:13:    Total variance weighted spectrum flux is 8136.891
Dec 10 12:13:    Total unweighted spectrum flux is 977.8969
Dec 10 12:13: EXTRACT: Aperture 108 variance spectrum bias factor is 0.1201807
Dec 10 12:13: EXTRACT: WARNING - Aperture 109:
Dec 10 12:13:    Total variance weighted spectrum flux is 5666.683
Dec 10 12:13:    Total unweighted spectrum flux is 190.3267
Dec 10 12:13: EXTRACT: Aperture 109 variance spectrum bias factor is 0.03358698
Dec 10 12:13: EXTRACT: WARNING - Aperture 110:
Dec 10 12:13:    Total variance weighted spectrum flux is 3862.74
Dec 10 12:13:    Total unweighted spectrum flux is -259.5912
Dec 10 12:13:    Variance spectrum bias factor ignored
Dec 10 12:13: EXTRACT: WARNING - Aperture 111:
Dec 10 12:13:    Total variance weighted spectrum flux is 5390.306
Dec 10 12:13:    Total unweighted spectrum flux is 759.2494
Dec 10 12:13: EXTRACT: Aperture 111 variance spectrum bias factor is 0.1408546
Dec 10 12:13: EXTRACT: WARNING - Aperture 112:
Dec 10 12:13:    Total variance weighted spectrum flux is 4550.179
Dec 10 12:13:    Total unweighted spectrum flux is 499.7332
Dec 10 12:13: EXTRACT: Aperture 112 variance spectrum bias factor is 0.1098272
Dec 10 12:13: EXTRACT: WARNING - Aperture 113:
Dec 10 12:13:    Total variance weighted spectrum flux is 2211.224
Dec 10 12:13:    Total unweighted spectrum flux is 414.434
Dec 10 12:13: EXTRACT: Aperture 113 variance spectrum bias factor is 0.1874229
Dec 10 12:13: EXTRACT: WARNING - Aperture 114:
Dec 10 12:13:    Total variance weighted spectrum flux is 6720.857
Dec 10 12:13:    Total unweighted spectrum flux is 442.5805
Dec 10 12:13: EXTRACT: Aperture 114 variance spectrum bias factor is 0.06585179
Dec 10 12:13: EXTRACT: WARNING - Aperture 115:
Dec 10 12:13:    Total variance weighted spectrum flux is 2041.213
Dec 10 12:13:    Total unweighted spectrum flux is 634.4871
Dec 10 12:13: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3108383
Resampling the object by a factor of 4 in the y direction...

120903.0013
  Magnify image 120903.0013 to image 120903.0013.
  Interpolation is linear.
  Boundary extension is nearest.
  Output coordinates in terms of input coordinates:
    x1 =         1., x2 =      1651., dx =         1.
    y1 =         1., y2 =      2048., dy =       0.25
120903.0013,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189]
120903.0013 updated
Applying model apertures to the object...
Removing scattered inter-order light from the spectrum...
120903.0013 -> noscat120903.0013
Removing scattered light with apscatter...
Fine-tuning apertures and extracting spectra...
Dec 10 12:15: EXTRACT: WARNING - Aperture 96:
Dec 10 12:15:    Total variance weighted spectrum flux is 7901.373
Dec 10 12:15:    Total unweighted spectrum flux is 3626.087
Dec 10 12:15: EXTRACT: Aperture 96 variance spectrum bias factor is 0.4589185
Dec 10 12:15: EXTRACT: WARNING - Aperture 100:
Dec 10 12:15:    Total variance weighted spectrum flux is 9350.803
Dec 10 12:15:    Total unweighted spectrum flux is 4109.845
Dec 10 12:15: EXTRACT: Aperture 100 variance spectrum bias factor is 0.4395179
Dec 10 12:15: EXTRACT: WARNING - Aperture 101:
Dec 10 12:15:    Total variance weighted spectrum flux is 13639.79
Dec 10 12:15:    Total unweighted spectrum flux is 4653.504
Dec 10 12:15: EXTRACT: Aperture 101 variance spectrum bias factor is 0.3411713
Dec 10 12:15: EXTRACT: WARNING - Aperture 103:
Dec 10 12:15:    Total variance weighted spectrum flux is 11982.33
Dec 10 12:15:    Total unweighted spectrum flux is 4530.129
Dec 10 12:15: EXTRACT: Aperture 103 variance spectrum bias factor is 0.3780675
Dec 10 12:15: EXTRACT: WARNING - Aperture 104:
Dec 10 12:15:    Total variance weighted spectrum flux is 5763.603
Dec 10 12:15:    Total unweighted spectrum flux is 1425.258
Dec 10 12:15: EXTRACT: Aperture 104 variance spectrum bias factor is 0.247286
Dec 10 12:15: EXTRACT: WARNING - Aperture 105:
Dec 10 12:15:    Total variance weighted spectrum flux is 8114.294
Dec 10 12:15:    Total unweighted spectrum flux is 2731.168
Dec 10 12:15: EXTRACT: Aperture 105 variance spectrum bias factor is 0.3365873
Dec 10 12:15: EXTRACT: WARNING - Aperture 106:
Dec 10 12:15:    Total variance weighted spectrum flux is 4159.035
Dec 10 12:15:    Total unweighted spectrum flux is 899.5793
Dec 10 12:15: EXTRACT: Aperture 106 variance spectrum bias factor is 0.2162952
Dec 10 12:15: EXTRACT: WARNING - Aperture 107:
Dec 10 12:15:    Total variance weighted spectrum flux is 6366.995
Dec 10 12:15:    Total unweighted spectrum flux is 1534.308
Dec 10 12:15: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2409784
Dec 10 12:15: EXTRACT: WARNING - Aperture 108:
Dec 10 12:15:    Total variance weighted spectrum flux is 9107.398
Dec 10 12:15:    Total unweighted spectrum flux is 2527.812
Dec 10 12:15: EXTRACT: Aperture 108 variance spectrum bias factor is 0.2775558
Dec 10 12:15: EXTRACT: WARNING - Aperture 109:
Dec 10 12:15:    Total variance weighted spectrum flux is 5318.764
Dec 10 12:15:    Total unweighted spectrum flux is 1025.237
Dec 10 12:15: EXTRACT: Aperture 109 variance spectrum bias factor is 0.1927585
Dec 10 12:15: EXTRACT: WARNING - Aperture 110:
Dec 10 12:15:    Total variance weighted spectrum flux is 3891.889
Dec 10 12:15:    Total unweighted spectrum flux is 62.07198
Dec 10 12:15: EXTRACT: Aperture 110 variance spectrum bias factor is 0.01594906
Dec 10 12:15: EXTRACT: WARNING - Aperture 111:
Dec 10 12:15:    Total variance weighted spectrum flux is 7199.779
Dec 10 12:15:    Total unweighted spectrum flux is 1390.554
Dec 10 12:15: EXTRACT: Aperture 111 variance spectrum bias factor is 0.1931384
Dec 10 12:15: EXTRACT: WARNING - Aperture 112:
Dec 10 12:15:    Total variance weighted spectrum flux is 5670.675
Dec 10 12:15:    Total unweighted spectrum flux is 1587.088
Dec 10 12:15: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2798764
Dec 10 12:15: EXTRACT: WARNING - Aperture 113:
Dec 10 12:15:    Total variance weighted spectrum flux is 5925.135
Dec 10 12:15:    Total unweighted spectrum flux is -280.5472
Dec 10 12:15:    Variance spectrum bias factor ignored
Dec 10 12:15: EXTRACT: WARNING - Aperture 114:
Dec 10 12:15:    Total variance weighted spectrum flux is 5650.369
Dec 10 12:15:    Total unweighted spectrum flux is 982.4095
Dec 10 12:15: EXTRACT: Aperture 114 variance spectrum bias factor is 0.1738664
Dec 10 12:15: EXTRACT: WARNING - Aperture 115:
Dec 10 12:15:    Total variance weighted spectrum flux is 3805.053
Dec 10 12:15:    Total unweighted spectrum flux is 907.0442
Dec 10 12:15: EXTRACT: Aperture 115 variance spectrum bias factor is 0.2383788
Resampling the object by a factor of 4 in the y direction...

120903.0014
  Magnify image 120903.0014 to image 120903.0014.
  Interpolation is linear.
  Boundary extension is nearest.
  Output coordinates in terms of input coordinates:
    x1 =         1., x2 =      1651., dx =         1.
    y1 =         1., y2 =      2048., dy =       0.25
120903.0014,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189]
120903.0014 updated
Applying model apertures to the object...
Removing scattered inter-order light from the spectrum...
120903.0014 -> noscat120903.0014
Removing scattered light with apscatter...
Fine-tuning apertures and extracting spectra...
Dec 10 12:17: EXTRACT: WARNING - Aperture 96:
Dec 10 12:17:    Total variance weighted spectrum flux is 10057.56
Dec 10 12:17:    Total unweighted spectrum flux is 4624.512
Dec 10 12:17: EXTRACT: Aperture 96 variance spectrum bias factor is 0.4598047
Dec 10 12:17: EXTRACT: WARNING - Aperture 99:
Dec 10 12:17:    Total variance weighted spectrum flux is 12728.84
Dec 10 12:17:    Total unweighted spectrum flux is 2204.384
Dec 10 12:17: EXTRACT: Aperture 99 variance spectrum bias factor is 0.1731803
Dec 10 12:17: EXTRACT: WARNING - Aperture 100:
Dec 10 12:17:    Total variance weighted spectrum flux is 9635.093
Dec 10 12:17:    Total unweighted spectrum flux is 3290.073
Dec 10 12:17: EXTRACT: Aperture 100 variance spectrum bias factor is 0.3414678
Dec 10 12:17: EXTRACT: WARNING - Aperture 101:
Dec 10 12:17:    Total variance weighted spectrum flux is 11774.69
Dec 10 12:17:    Total unweighted spectrum flux is 4836.295
Dec 10 12:17: EXTRACT: Aperture 101 variance spectrum bias factor is 0.4107364
Dec 10 12:17: EXTRACT: WARNING - Aperture 102:
Dec 10 12:17:    Total variance weighted spectrum flux is 7698.782
Dec 10 12:17:    Total unweighted spectrum flux is 3563.899
Dec 10 12:17: EXTRACT: Aperture 102 variance spectrum bias factor is 0.4629172
Dec 10 12:17: EXTRACT: WARNING - Aperture 103:
Dec 10 12:17:    Total variance weighted spectrum flux is 5113.78
Dec 10 12:17:    Total unweighted spectrum flux is 2297.869
Dec 10 12:17: EXTRACT: Aperture 103 variance spectrum bias factor is 0.4493484
Dec 10 12:17: EXTRACT: WARNING - Aperture 104:
Dec 10 12:17:    Total variance weighted spectrum flux is 13877.37
Dec 10 12:17:    Total unweighted spectrum flux is 4789.441
Dec 10 12:17: EXTRACT: Aperture 104 variance spectrum bias factor is 0.3451259
Dec 10 12:17: EXTRACT: WARNING - Aperture 105:
Dec 10 12:17:    Total variance weighted spectrum flux is 10029.39
Dec 10 12:17:    Total unweighted spectrum flux is 569.5578
Dec 10 12:17: EXTRACT: Aperture 105 variance spectrum bias factor is 0.0567889
Dec 10 12:17: EXTRACT: WARNING - Aperture 106:
Dec 10 12:17:    Total variance weighted spectrum flux is 5965.9
Dec 10 12:17:    Total unweighted spectrum flux is 297.893
Dec 10 12:17: EXTRACT: Aperture 106 variance spectrum bias factor is 0.04993263
Dec 10 12:17: EXTRACT: WARNING - Aperture 107:
Dec 10 12:17:    Total variance weighted spectrum flux is 3636.84
Dec 10 12:17:    Total unweighted spectrum flux is 1089.781
Dec 10 12:17: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2996505
Dec 10 12:17: EXTRACT: WARNING - Aperture 108:
Dec 10 12:17:    Total variance weighted spectrum flux is 13486.84
Dec 10 12:17:    Total unweighted spectrum flux is 2902.346
Dec 10 12:17: EXTRACT: Aperture 108 variance spectrum bias factor is 0.2151984
Dec 10 12:17: EXTRACT: WARNING - Aperture 109:
Dec 10 12:17:    Total variance weighted spectrum flux is 2806.79
Dec 10 12:17:    Total unweighted spectrum flux is 574.0486
Dec 10 12:17: EXTRACT: Aperture 109 variance spectrum bias factor is 0.2045214
Dec 10 12:17: EXTRACT: WARNING - Aperture 110:
Dec 10 12:17:    Total variance weighted spectrum flux is 4132.242
Dec 10 12:17:    Total unweighted spectrum flux is 498.4128
Dec 10 12:17: EXTRACT: Aperture 110 variance spectrum bias factor is 0.1206156
Dec 10 12:17: EXTRACT: WARNING - Aperture 111:
Dec 10 12:17:    Total variance weighted spectrum flux is 9969.404
Dec 10 12:17:    Total unweighted spectrum flux is 2826.52
Dec 10 12:17: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2835194
Dec 10 12:17: EXTRACT: WARNING - Aperture 112:
Dec 10 12:17:    Total variance weighted spectrum flux is 3947.524
Dec 10 12:17:    Total unweighted spectrum flux is 760.2725
Dec 10 12:17: EXTRACT: Aperture 112 variance spectrum bias factor is 0.1925948
Dec 10 12:17: EXTRACT: WARNING - Aperture 113:
Dec 10 12:17:    Total variance weighted spectrum flux is 2969.829
Dec 10 12:17:    Total unweighted spectrum flux is 94.2956
Dec 10 12:17: EXTRACT: Aperture 113 variance spectrum bias factor is 0.03175119
Dec 10 12:17: EXTRACT: WARNING - Aperture 114:
Dec 10 12:17:    Total variance weighted spectrum flux is 3589.388
Dec 10 12:17:    Total unweighted spectrum flux is 914.0592
Dec 10 12:17: EXTRACT: Aperture 114 variance spectrum bias factor is 0.254656
Dec 10 12:17: EXTRACT: WARNING - Aperture 115:
Dec 10 12:17:    Total variance weighted spectrum flux is 3035.761
Dec 10 12:17:    Total unweighted spectrum flux is -1221.946
Dec 10 12:17:    Variance spectrum bias factor ignored
Resampling the object by a factor of 4 in the y direction...

120903.0015
  Magnify image 120903.0015 to image 120903.0015.
  Interpolation is linear.
  Boundary extension is nearest.
  Output coordinates in terms of input coordinates:
    x1 =         1., x2 =      1651., dx =         1.
    y1 =         1., y2 =      2048., dy =       0.25
120903.0015,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189]
120903.0015 updated
Applying model apertures to the object...
Removing scattered inter-order light from the spectrum...
120903.0015 -> noscat120903.0015
Removing scattered light with apscatter...
Fine-tuning apertures and extracting spectra...
Dec 10 12:17: EXTRACT: WARNING - Aperture 1:
Dec 10 12:17:    Total variance weighted spectrum flux is 5852.369
Dec 10 12:17:    Total unweighted spectrum flux is 1354.301
Dec 10 12:17: EXTRACT: Aperture 1 variance spectrum bias factor is 0.2314107
Dec 10 12:18: EXTRACT: WARNING - Aperture 93:
Dec 10 12:18:    Total variance weighted spectrum flux is 10450.94
Dec 10 12:18:    Total unweighted spectrum flux is 4864.565
Dec 10 12:18: EXTRACT: Aperture 93 variance spectrum bias factor is 0.4654669
Dec 10 12:18: EXTRACT: WARNING - Aperture 94:
Dec 10 12:18:    Total variance weighted spectrum flux is 4639.136
Dec 10 12:18:    Total unweighted spectrum flux is 2235.444
Dec 10 12:18: EXTRACT: Aperture 94 variance spectrum bias factor is 0.4818665
Dec 10 12:18: EXTRACT: WARNING - Aperture 95:
Dec 10 12:18:    Total variance weighted spectrum flux is 9720.69
Dec 10 12:18:    Total unweighted spectrum flux is -1058.422
Dec 10 12:18:    Variance spectrum bias factor ignored
Dec 10 12:18: EXTRACT: WARNING - Aperture 96:
Dec 10 12:18:    Total variance weighted spectrum flux is 7850.69
Dec 10 12:18:    Total unweighted spectrum flux is 2299.115
Dec 10 12:18: EXTRACT: Aperture 96 variance spectrum bias factor is 0.2928551
Dec 10 12:18: EXTRACT: WARNING - Aperture 97:
Dec 10 12:18:    Total variance weighted spectrum flux is 11056.5
Dec 10 12:18:    Total unweighted spectrum flux is 3812.126
Dec 10 12:18: EXTRACT: Aperture 97 variance spectrum bias factor is 0.3447859
Dec 10 12:19: EXTRACT: WARNING - Aperture 99:
Dec 10 12:19:    Total variance weighted spectrum flux is 9638.844
Dec 10 12:19:    Total unweighted spectrum flux is 1607.948
Dec 10 12:19: EXTRACT: Aperture 99 variance spectrum bias factor is 0.1668195
Dec 10 12:19: EXTRACT: WARNING - Aperture 100:
Dec 10 12:19:    Total variance weighted spectrum flux is 6097.385
Dec 10 12:19:    Total unweighted spectrum flux is 1928.669
Dec 10 12:19: EXTRACT: Aperture 100 variance spectrum bias factor is 0.3163108
Dec 10 12:19: EXTRACT: WARNING - Aperture 101:
Dec 10 12:19:    Total variance weighted spectrum flux is 12333.36
Dec 10 12:19:    Total unweighted spectrum flux is 5727.072
Dec 10 12:19: EXTRACT: Aperture 101 variance spectrum bias factor is 0.464356
Dec 10 12:19: EXTRACT: WARNING - Aperture 102:
Dec 10 12:19:    Total variance weighted spectrum flux is 5459.342
Dec 10 12:19:    Total unweighted spectrum flux is 1270.666
Dec 10 12:19: EXTRACT: Aperture 102 variance spectrum bias factor is 0.2327507
Dec 10 12:19: EXTRACT: WARNING - Aperture 103:
Dec 10 12:19:    Total variance weighted spectrum flux is 11534.
Dec 10 12:19:    Total unweighted spectrum flux is 890.8648
Dec 10 12:19: EXTRACT: Aperture 103 variance spectrum bias factor is 0.07723811
Dec 10 12:19: EXTRACT: WARNING - Aperture 104:
Dec 10 12:19:    Total variance weighted spectrum flux is 7900.939
Dec 10 12:19:    Total unweighted spectrum flux is 1718.924
Dec 10 12:19: EXTRACT: Aperture 104 variance spectrum bias factor is 0.2175595
Dec 10 12:19: EXTRACT: WARNING - Aperture 105:
Dec 10 12:19:    Total variance weighted spectrum flux is 5622.998
Dec 10 12:19:    Total unweighted spectrum flux is 1861.797
Dec 10 12:19: EXTRACT: Aperture 105 variance spectrum bias factor is 0.331104
Dec 10 12:19: EXTRACT: WARNING - Aperture 106:
Dec 10 12:19:    Total variance weighted spectrum flux is 7816.944
Dec 10 12:19:    Total unweighted spectrum flux is 1433.997
Dec 10 12:19: EXTRACT: Aperture 106 variance spectrum bias factor is 0.1834473
Dec 10 12:19: EXTRACT: WARNING - Aperture 107:
Dec 10 12:19:    Total variance weighted spectrum flux is 6506.44
Dec 10 12:19:    Total unweighted spectrum flux is 916.3561
Dec 10 12:19: EXTRACT: Aperture 107 variance spectrum bias factor is 0.1408383
Dec 10 12:19: EXTRACT: WARNING - Aperture 108:
Dec 10 12:19:    Total variance weighted spectrum flux is 8103.335
Dec 10 12:19:    Total unweighted spectrum flux is 2107.212
Dec 10 12:19: EXTRACT: Aperture 108 variance spectrum bias factor is 0.2600425
Dec 10 12:19: EXTRACT: WARNING - Aperture 109:
Dec 10 12:19:    Total variance weighted spectrum flux is 1890.915
Dec 10 12:19:    Total unweighted spectrum flux is 104.8754
Dec 10 12:19: EXTRACT: Aperture 109 variance spectrum bias factor is 0.05546276
Dec 10 12:19: EXTRACT: WARNING - Aperture 110:
Dec 10 12:19:    Total variance weighted spectrum flux is 4617.254
Dec 10 12:19:    Total unweighted spectrum flux is 265.8694
Dec 10 12:19: EXTRACT: Aperture 110 variance spectrum bias factor is 0.0575817
Dec 10 12:19: EXTRACT: WARNING - Aperture 111:
Dec 10 12:19:    Total variance weighted spectrum flux is 7409.726
Dec 10 12:19:    Total unweighted spectrum flux is 1766.581
Dec 10 12:19: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2384138
Dec 10 12:19: EXTRACT: WARNING - Aperture 112:
Dec 10 12:19:    Total variance weighted spectrum flux is 4156.873
Dec 10 12:19:    Total unweighted spectrum flux is 1463.013
Dec 10 12:19: EXTRACT: Aperture 112 variance spectrum bias factor is 0.3519504
Dec 10 12:19: EXTRACT: WARNING - Aperture 113:
Dec 10 12:19:    Total variance weighted spectrum flux is 4680.877
Dec 10 12:19:    Total unweighted spectrum flux is -792.6909
Dec 10 12:19:    Variance spectrum bias factor ignored
Dec 10 12:19: EXTRACT: WARNING - Aperture 114:
Dec 10 12:19:    Total variance weighted spectrum flux is 1750.585
Dec 10 12:19:    Total unweighted spectrum flux is 30.50432
Dec 10 12:19: EXTRACT: Aperture 114 variance spectrum bias factor is 0.01742521
Dec 10 12:19: EXTRACT: WARNING - Aperture 115:
Dec 10 12:19:    Total variance weighted spectrum flux is 4170.418
Dec 10 12:19:    Total unweighted spectrum flux is 1347.736
Dec 10 12:19: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3231657
add 120903.0001.ec.fits,REFSPEC1 = 120903.0001.ec.fits
120903.0001.ec.fits updated
add 120903.0002.ec.fits,REFSPEC1 = 120903.0002.ec.fits
120903.0002.ec.fits updated
add 120903.0003.ec.fits,REFSPEC1 = 120903.0003.ec.fits
120903.0003.ec.fits updated
add 120903.0004.ec.fits,REFSPEC1 = 120903.0004.ec.fits
120903.0004.ec.fits updated
Flatfielding extracted arcs and object spectra...
parameter 120903.0001.ec.fits,UTMIDDLE already exists
120903.0001.ec.fits updated
120903.0001.ec.fits,UTMIDDLE: 06:41:00.784 -> 06:41:34.783999
120903.0001.ec.fits updated
parameter 120903.0002.ec.fits,UTMIDDLE already exists
120903.0002.ec.fits updated
120903.0002.ec.fits,UTMIDDLE: 06:43:51.901 -> 06:44:25.901188
120903.0002.ec.fits updated
parameter 120903.0003.ec.fits,UTMIDDLE already exists
120903.0003.ec.fits updated
120903.0003.ec.fits,UTMIDDLE: 06:46:54.115 -> 06:47:28.115168
120903.0003.ec.fits updated
parameter 120903.0004.ec.fits,UTMIDDLE already exists
120903.0004.ec.fits updated
120903.0004.ec.fits,UTMIDDLE: 06:49:56.685 -> 06:50:30.684748
120903.0004.ec.fits updated
parameter 120903.0008.ec.fits,UTMIDDLE already exists
120903.0008.ec.fits updated
120903.0008.ec.fits,UTMIDDLE: 07:24:03.348 -> 07:24:37.347738
120903.0008.ec.fits updated
parameter 120903.0009.ec.fits,UTMIDDLE already exists
120903.0009.ec.fits updated
120903.0009.ec.fits,UTMIDDLE: 07:51:40.961 -> 07:52:14.960796
120903.0009.ec.fits updated
parameter 120903.0010.ec.fits,UTMIDDLE already exists
120903.0010.ec.fits updated
120903.0010.ec.fits,UTMIDDLE: 08:15:01.739 -> 08:15:35.739121
120903.0010.ec.fits updated
parameter 120903.0011.ec.fits,UTMIDDLE already exists
120903.0011.ec.fits updated
120903.0011.ec.fits,UTMIDDLE: 08:33:10.044 -> 08:33:44.044111
120903.0011.ec.fits updated
parameter 120903.0012.ec.fits,UTMIDDLE already exists
120903.0012.ec.fits updated
120903.0012.ec.fits,UTMIDDLE: 08:49:20.755 -> 08:49:54.755280
120903.0012.ec.fits updated
parameter 120903.0013.ec.fits,UTMIDDLE already exists
120903.0013.ec.fits updated
120903.0013.ec.fits,UTMIDDLE: 09:10:00.920 -> 09:10:34.919776
120903.0013.ec.fits updated
parameter 120903.0014.ec.fits,UTMIDDLE already exists
120903.0014.ec.fits updated
120903.0014.ec.fits,UTMIDDLE: 09:24:42.320 -> 09:25:16.319754
120903.0014.ec.fits updated
parameter 120903.0015.ec.fits,UTMIDDLE already exists
120903.0015.ec.fits updated
120903.0015.ec.fits,UTMIDDLE: 09:36:50.688 -> 09:37:24.687348
120903.0015.ec.fits updated
Setting Julian Date Keywords
#              Image             jd            hjd       ljd
# SETJD: Observatory parameters for Apache Point Observatory
#	timezone = 7
 120903.0008.ec.fits  2456173.80877  2456173.81065   2456173
 120903.0009.ec.fits  2456173.82795  2456173.83012   2456173
 120903.0010.ec.fits  2456173.84416  2456173.84567   2456173
 120903.0011.ec.fits  2456173.85676  2456173.85908   2456173
 120903.0012.ec.fits  2456173.86799  2456173.87057   2456173
 120903.0013.ec.fits  2456173.88235  2456173.88461   2456173
 120903.0014.ec.fits  2456173.89255  2456173.89484   2456173
 120903.0015.ec.fits  2456173.90098  2456173.90305   2456173

ECREIDENTIFY: NOAO/IRAF V2.16.1 jeanm12@tequila.nmsu.edu Tue 12:19:17 10-Dec-2013
  Reference image = arcnewref.ec, Refit = yes
               Image    Found     Fit Pix Shift  User Shift  Z Shift      RMS
      120903.0001.ec  1243/2055 1243/1243      2.33        -17.  -3.0E-5   0.0123
      120903.0002.ec  2042/2055 2042/2042      2.33        -17.  -3.0E-5  0.00849
      120903.0003.ec  2050/2055 2050/2050      2.32        -17.  -3.0E-5  0.00699
      120903.0004.ec  2050/2055 2050/2050      2.31       -16.9  -3.0E-5   0.0074
[120903.0008.ec] refspec1='120903.0004.ec'
[120903.0009.ec] refspec1='120903.0004.ec'
[120903.0010.ec] refspec1='120903.0004.ec'
[120903.0011.ec] refspec1='120903.0004.ec'
[120903.0012.ec] refspec1='120903.0004.ec'
[120903.0013.ec] refspec1='120903.0004.ec'
[120903.0014.ec] refspec1='120903.0004.ec'
[120903.0015.ec] refspec1='120903.0004.ec'
[120903.0001.ec] refspec1='120903.0001.ec'
[120903.0002.ec] refspec1='120903.0002.ec'
[120903.0003.ec] refspec1='120903.0003.ec'
[120903.0004.ec] refspec1='120903.0004.ec'
120903.0008.ec.fits: REFSPEC1 = '120903.0004.ec 1.'
120903.0008.ec.fits: ap = 1, w1 =  10812.1, w2 = 10583.85, dw = -0.13833, nw = 1651
120903.0008.ec.fits: ap = 2, w1 = 10611.89, w2 = 10387.87, dw = -0.13577, nw = 1651
120903.0008.ec.fits: ap = 3, w1 = 10418.96, w2 = 10199.02, dw = -0.13329, nw = 1651
120903.0008.ec.fits: ap = 4, w1 = 10232.92, w2 = 10016.92, dw = -0.13091, nw = 1651
120903.0008.ec.fits: ap = 5, w1 =  10053.4, w2 = 9841.201, dw = -0.12861, nw = 1651
120903.0008.ec.fits: ap = 6, w1 = 9880.081, w2 = 9671.543, dw = -0.12639, nw = 1651
120903.0008.ec.fits: ap = 7, w1 = 9712.634, w2 = 9507.636, dw = -0.12424, nw = 1651
120903.0008.ec.fits: ap = 8, w1 = 9550.768, w2 = 9349.193, dw = -0.12217, nw = 1651
120903.0008.ec.fits: ap = 9, w1 =  9394.21, w2 = 9195.944, dw = -0.12016, nw = 1651
120903.0008.ec.fits: ap = 10, w1 = 9242.702, w2 = 9047.638, dw = -0.11822, nw = 1651
120903.0008.ec.fits: ap = 11, w1 = 9096.003, w2 =  8904.04, dw = -0.11634, nw = 1651
120903.0008.ec.fits: ap = 12, w1 = 8953.889, w2 =  8764.93, dw = -0.11452, nw = 1651
120903.0008.ec.fits: ap = 13, w1 = 8816.148, w2 =   8630.1, dw = -0.11276, nw = 1651
120903.0008.ec.fits: ap = 14, w1 = 8682.581, w2 = 8499.355, dw = -0.11105, nw = 1651
120903.0008.ec.fits: ap = 15, w1 = 8553.001, w2 = 8372.513, dw = -0.10939, nw = 1651
120903.0008.ec.fits: ap = 16, w1 = 8427.232, w2 = 8249.402, dw = -0.10778, nw = 1651
120903.0008.ec.fits: ap = 17, w1 = 8305.109, w2 = 8129.859, dw = -0.10621, nw = 1651
120903.0008.ec.fits: ap = 18, w1 = 8186.475, w2 = 8013.731, dw = -0.10469, nw = 1651
120903.0008.ec.fits: ap = 19, w1 = 8071.182, w2 = 7900.875, dw = -0.10322, nw = 1651
120903.0008.ec.fits: ap = 20, w1 = 7959.093, w2 = 7791.153, dw = -0.10178, nw = 1651
120903.0008.ec.fits: ap = 21, w1 = 7850.074, w2 = 7684.437, dw = -0.10039, nw = 1651
120903.0008.ec.fits: ap = 22, w1 = 7744.002, w2 = 7580.606, dw = -0.09903, nw = 1651
120903.0008.ec.fits: ap = 23, w1 = 7640.758, w2 = 7479.543, dw = -0.09771, nw = 1651
120903.0008.ec.fits: ap = 24, w1 = 7540.232, w2 =  7381.14, dw = -0.09642, nw = 1651
120903.0008.ec.fits: ap = 25, w1 = 7442.316, w2 = 7285.293, dw = -0.09517, nw = 1651
120903.0008.ec.fits: ap = 26, w1 = 7346.911, w2 = 7191.903, dw = -0.09394, nw = 1651
120903.0008.ec.fits: ap = 27, w1 = 7253.922, w2 = 7100.878, dw = -0.09275, nw = 1651
120903.0008.ec.fits: ap = 28, w1 = 7163.257, w2 = 7012.128, dw = -0.09159, nw = 1651
120903.0008.ec.fits: ap = 29, w1 = 7074.831, w2 =  6925.57, dw = -0.09046, nw = 1651
120903.0008.ec.fits: ap = 30, w1 = 6988.562, w2 = 6841.122, dw = -0.08936, nw = 1651
120903.0008.ec.fits: ap = 31, w1 = 6904.371, w2 =  6758.71, dw = -0.08828, nw = 1651
120903.0008.ec.fits: ap = 32, w1 = 6822.185, w2 =  6678.26, dw = -0.08723, nw = 1651
120903.0008.ec.fits: ap = 33, w1 = 6741.933, w2 = 6599.703, dw =  -0.0862, nw = 1651
120903.0008.ec.fits: ap = 34, w1 = 6663.547, w2 = 6522.973, dw =  -0.0852, nw = 1651
120903.0008.ec.fits: ap = 35, w1 = 6586.964, w2 = 6448.007, dw = -0.08422, nw = 1651
120903.0008.ec.fits: ap = 36, w1 =  6512.12, w2 = 6374.745, dw = -0.08326, nw = 1651
120903.0008.ec.fits: ap = 37, w1 = 6438.959, w2 = 6303.129, dw = -0.08232, nw = 1651
120903.0008.ec.fits: ap = 38, w1 = 6367.424, w2 = 6233.105, dw = -0.08141, nw = 1651
120903.0008.ec.fits: ap = 39, w1 =  6297.46, w2 = 6164.619, dw = -0.08051, nw = 1651
120903.0008.ec.fits: ap = 40, w1 = 6229.018, w2 = 6097.623, dw = -0.07963, nw = 1651
120903.0008.ec.fits: ap = 41, w1 = 6162.048, w2 = 6032.067, dw = -0.07878, nw = 1651
120903.0008.ec.fits: ap = 42, w1 = 6096.503, w2 = 5967.907, dw = -0.07794, nw = 1651
120903.0008.ec.fits: ap = 43, w1 = 6032.337, w2 = 5905.097, dw = -0.07712, nw = 1651
120903.0008.ec.fits: ap = 44, w1 = 5969.508, w2 = 5843.596, dw = -0.07631, nw = 1651
120903.0008.ec.fits: ap = 45, w1 = 5907.975, w2 = 5783.362, dw = -0.07552, nw = 1651
120903.0008.ec.fits: ap = 46, w1 = 5847.698, w2 = 5724.359, dw = -0.07475, nw = 1651
120903.0008.ec.fits: ap = 47, w1 = 5788.639, w2 = 5666.547, dw = -0.07399, nw = 1651
120903.0008.ec.fits: ap = 48, w1 =  5730.76, w2 = 5609.892, dw = -0.07325, nw = 1651
120903.0008.ec.fits: ap = 49, w1 = 5674.028, w2 = 5554.358, dw = -0.07253, nw = 1651
120903.0008.ec.fits: ap = 50, w1 = 5618.408, w2 = 5499.914, dw = -0.07181, nw = 1651
120903.0008.ec.fits: ap = 51, w1 = 5563.869, w2 = 5446.527, dw = -0.07112, nw = 1651
120903.0008.ec.fits: ap = 52, w1 = 5510.378, w2 = 5394.167, dw = -0.07043, nw = 1651
120903.0008.ec.fits: ap = 53, w1 = 5457.906, w2 = 5342.804, dw = -0.06976, nw = 1651
120903.0008.ec.fits: ap = 54, w1 = 5406.425, w2 =  5292.41, dw =  -0.0691, nw = 1651
120903.0008.ec.fits: ap = 55, w1 = 5355.906, w2 = 5242.958, dw = -0.06845, nw = 1651
120903.0008.ec.fits: ap = 56, w1 = 5306.322, w2 = 5194.422, dw = -0.06782, nw = 1651
120903.0008.ec.fits: ap = 57, w1 = 5257.648, w2 = 5146.777, dw = -0.06719, nw = 1651
120903.0008.ec.fits: ap = 58, w1 = 5209.859, w2 = 5099.998, dw = -0.06658, nw = 1651
120903.0008.ec.fits: ap = 59, w1 = 5162.932, w2 = 5054.062, dw = -0.06598, nw = 1651
120903.0008.ec.fits: ap = 60, w1 = 5116.842, w2 = 5008.947, dw = -0.06539, nw = 1651
120903.0008.ec.fits: ap = 61, w1 = 5071.569, w2 =  4964.63, dw = -0.06481, nw = 1651
120903.0008.ec.fits: ap = 62, w1 = 5027.089, w2 = 4921.091, dw = -0.06424, nw = 1651
120903.0008.ec.fits: ap = 63, w1 = 4983.384, w2 = 4878.309, dw = -0.06368, nw = 1651
120903.0008.ec.fits: ap = 64, w1 = 4940.432, w2 = 4836.264, dw = -0.06313, nw = 1651
120903.0008.ec.fits: ap = 65, w1 = 4898.214, w2 = 4794.939, dw = -0.06259, nw = 1651
120903.0008.ec.fits: ap = 66, w1 = 4856.712, w2 = 4754.314, dw = -0.06206, nw = 1651
120903.0008.ec.fits: ap = 67, w1 = 4815.908, w2 = 4714.372, dw = -0.06154, nw = 1651
120903.0008.ec.fits: ap = 68, w1 = 4775.784, w2 = 4675.095, dw = -0.06102, nw = 1651
120903.0008.ec.fits: ap = 69, w1 = 4736.323, w2 = 4636.468, dw = -0.06052, nw = 1651
120903.0008.ec.fits: ap = 70, w1 = 4697.509, w2 = 4598.474, dw = -0.06002, nw = 1651
120903.0008.ec.fits: ap = 71, w1 = 4659.326, w2 = 4561.098, dw = -0.05953, nw = 1651
120903.0008.ec.fits: ap = 72, w1 =  4621.76, w2 = 4524.325, dw = -0.05905, nw = 1651
120903.0008.ec.fits: ap = 73, w1 = 4584.795, w2 =  4488.14, dw = -0.05858, nw = 1651
120903.0008.ec.fits: ap = 74, w1 = 4548.416, w2 =  4452.53, dw = -0.05811, nw = 1651
120903.0008.ec.fits: ap = 75, w1 = 4512.611, w2 = 4417.481, dw = -0.05765, nw = 1651
120903.0008.ec.fits: ap = 76, w1 = 4477.365, w2 = 4382.979, dw =  -0.0572, nw = 1651
120903.0008.ec.fits: ap = 77, w1 = 4442.666, w2 = 4349.012, dw = -0.05676, nw = 1651
120903.0008.ec.fits: ap = 78, w1 = 4408.501, w2 = 4315.568, dw = -0.05632, nw = 1651
120903.0008.ec.fits: ap = 79, w1 = 4374.857, w2 = 4282.635, dw = -0.05589, nw = 1651
120903.0008.ec.fits: ap = 80, w1 = 4341.724, w2 =   4250.2, dw = -0.05547, nw = 1651
120903.0008.ec.fits: ap = 81, w1 = 4309.089, w2 = 4218.253, dw = -0.05505, nw = 1651
120903.0008.ec.fits: ap = 82, w1 = 4276.941, w2 = 4186.784, dw = -0.05464, nw = 1651
120903.0008.ec.fits: ap = 83, w1 =  4245.27, w2 =  4155.78, dw = -0.05424, nw = 1651
120903.0008.ec.fits: ap = 84, w1 = 4214.064, w2 = 4125.232, dw = -0.05384, nw = 1651
120903.0008.ec.fits: ap = 85, w1 = 4183.315, w2 = 4095.131, dw = -0.05344, nw = 1651
120903.0008.ec.fits: ap = 86, w1 = 4153.011, w2 = 4065.465, dw = -0.05306, nw = 1651
120903.0008.ec.fits: ap = 87, w1 = 4123.143, w2 = 4036.227, dw = -0.05268, nw = 1651
120903.0008.ec.fits: ap = 88, w1 = 4093.703, w2 = 4007.406, dw =  -0.0523, nw = 1651
120903.0008.ec.fits: ap = 89, w1 =  4064.68, w2 = 3978.994, dw = -0.05193, nw = 1651
120903.0008.ec.fits: ap = 90, w1 = 4036.066, w2 = 3950.982, dw = -0.05157, nw = 1651
120903.0008.ec.fits: ap = 91, w1 = 4007.853, w2 = 3923.362, dw = -0.05121, nw = 1651
120903.0008.ec.fits: ap = 92, w1 = 3980.031, w2 = 3896.125, dw = -0.05085, nw = 1651
120903.0008.ec.fits: ap = 93, w1 = 3952.594, w2 = 3869.264, dw =  -0.0505, nw = 1651
120903.0008.ec.fits: ap = 94, w1 = 3925.533, w2 = 3842.771, dw = -0.05016, nw = 1651
120903.0008.ec.fits: ap = 95, w1 =  3898.84, w2 = 3816.639, dw = -0.04982, nw = 1651
120903.0008.ec.fits: ap = 96, w1 = 3872.508, w2 =  3790.86, dw = -0.04948, nw = 1651
120903.0008.ec.fits: ap = 97, w1 =  3846.53, w2 = 3765.426, dw = -0.04915, nw = 1651
120903.0008.ec.fits: ap = 98, w1 = 3820.898, w2 = 3740.332, dw = -0.04883, nw = 1651
120903.0008.ec.fits: ap = 99, w1 = 3795.606, w2 =  3715.57, dw = -0.04851, nw = 1651
120903.0008.ec.fits: ap = 100, w1 = 3770.648, w2 = 3691.134, dw = -0.04819, nw = 1651
120903.0008.ec.fits: ap = 101, w1 = 3746.016, w2 = 3667.017, dw = -0.04788, nw = 1651
120903.0008.ec.fits: ap = 102, w1 = 3721.704, w2 = 3643.213, dw = -0.04757, nw = 1651
120903.0008.ec.fits: ap = 103, w1 = 3697.706, w2 = 3619.717, dw = -0.04727, nw = 1651
120903.0008.ec.fits: ap = 104, w1 = 3674.015, w2 = 3596.521, dw = -0.04697, nw = 1651
120903.0008.ec.fits: ap = 105, w1 = 3650.627, w2 = 3573.621, dw = -0.04667, nw = 1651
120903.0008.ec.fits: ap = 106, w1 = 3627.536, w2 = 3551.011, dw = -0.04638, nw = 1651
120903.0008.ec.fits: ap = 107, w1 = 3604.735, w2 = 3528.685, dw = -0.04609, nw = 1651
120903.0008.ec.fits: ap = 108, w1 = 3582.219, w2 = 3506.638, dw = -0.04581, nw = 1651
120903.0008.ec.fits: ap = 109, w1 = 3559.984, w2 = 3484.865, dw = -0.04553, nw = 1651
120903.0008.ec.fits: ap = 110, w1 = 3538.023, w2 =  3463.36, dw = -0.04525, nw = 1651
120903.0008.ec.fits: ap = 111, w1 = 3516.332, w2 =  3442.12, dw = -0.04498, nw = 1651
120903.0008.ec.fits: ap = 112, w1 = 3494.906, w2 = 3421.138, dw = -0.04471, nw = 1651
120903.0008.ec.fits: ap = 113, w1 =  3473.74, w2 =  3400.41, dw = -0.04444, nw = 1651
120903.0008.ec.fits: ap = 114, w1 =  3452.83, w2 = 3379.932, dw = -0.04418, nw = 1651
120903.0008.ec.fits: ap = 115, w1 =  3432.17, w2 = 3359.699, dw = -0.04392, nw = 1651
120903.0009.ec.fits: REFSPEC1 = '120903.0004.ec 1.'
120903.0009.ec.fits: ap = 1, w1 =  10812.1, w2 = 10583.85, dw = -0.13833, nw = 1651
120903.0009.ec.fits: ap = 2, w1 = 10611.89, w2 = 10387.87, dw = -0.13577, nw = 1651
120903.0009.ec.fits: ap = 3, w1 = 10418.96, w2 = 10199.02, dw = -0.13329, nw = 1651
120903.0009.ec.fits: ap = 4, w1 = 10232.92, w2 = 10016.92, dw = -0.13091, nw = 1651
120903.0009.ec.fits: ap = 5, w1 =  10053.4, w2 = 9841.201, dw = -0.12861, nw = 1651
120903.0009.ec.fits: ap = 6, w1 = 9880.081, w2 = 9671.543, dw = -0.12639, nw = 1651
120903.0009.ec.fits: ap = 7, w1 = 9712.634, w2 = 9507.636, dw = -0.12424, nw = 1651
120903.0009.ec.fits: ap = 8, w1 = 9550.768, w2 = 9349.193, dw = -0.12217, nw = 1651
120903.0009.ec.fits: ap = 9, w1 =  9394.21, w2 = 9195.944, dw = -0.12016, nw = 1651
120903.0009.ec.fits: ap = 10, w1 = 9242.702, w2 = 9047.638, dw = -0.11822, nw = 1651
120903.0009.ec.fits: ap = 11, w1 = 9096.003, w2 =  8904.04, dw = -0.11634, nw = 1651
120903.0009.ec.fits: ap = 12, w1 = 8953.889, w2 =  8764.93, dw = -0.11452, nw = 1651
120903.0009.ec.fits: ap = 13, w1 = 8816.148, w2 =   8630.1, dw = -0.11276, nw = 1651
120903.0009.ec.fits: ap = 14, w1 = 8682.581, w2 = 8499.355, dw = -0.11105, nw = 1651
120903.0009.ec.fits: ap = 15, w1 = 8553.001, w2 = 8372.513, dw = -0.10939, nw = 1651
120903.0009.ec.fits: ap = 16, w1 = 8427.232, w2 = 8249.402, dw = -0.10778, nw = 1651
120903.0009.ec.fits: ap = 17, w1 = 8305.109, w2 = 8129.859, dw = -0.10621, nw = 1651
120903.0009.ec.fits: ap = 18, w1 = 8186.475, w2 = 8013.731, dw = -0.10469, nw = 1651
120903.0009.ec.fits: ap = 19, w1 = 8071.182, w2 = 7900.875, dw = -0.10322, nw = 1651
120903.0009.ec.fits: ap = 20, w1 = 7959.093, w2 = 7791.153, dw = -0.10178, nw = 1651
120903.0009.ec.fits: ap = 21, w1 = 7850.074, w2 = 7684.437, dw = -0.10039, nw = 1651
120903.0009.ec.fits: ap = 22, w1 = 7744.002, w2 = 7580.606, dw = -0.09903, nw = 1651
120903.0009.ec.fits: ap = 23, w1 = 7640.758, w2 = 7479.543, dw = -0.09771, nw = 1651
120903.0009.ec.fits: ap = 24, w1 = 7540.232, w2 =  7381.14, dw = -0.09642, nw = 1651
120903.0009.ec.fits: ap = 25, w1 = 7442.316, w2 = 7285.293, dw = -0.09517, nw = 1651
120903.0009.ec.fits: ap = 26, w1 = 7346.911, w2 = 7191.903, dw = -0.09394, nw = 1651
120903.0009.ec.fits: ap = 27, w1 = 7253.922, w2 = 7100.878, dw = -0.09275, nw = 1651
120903.0009.ec.fits: ap = 28, w1 = 7163.257, w2 = 7012.128, dw = -0.09159, nw = 1651
120903.0009.ec.fits: ap = 29, w1 = 7074.831, w2 =  6925.57, dw = -0.09046, nw = 1651
120903.0009.ec.fits: ap = 30, w1 = 6988.562, w2 = 6841.122, dw = -0.08936, nw = 1651
120903.0009.ec.fits: ap = 31, w1 = 6904.371, w2 =  6758.71, dw = -0.08828, nw = 1651
120903.0009.ec.fits: ap = 32, w1 = 6822.185, w2 =  6678.26, dw = -0.08723, nw = 1651
120903.0009.ec.fits: ap = 33, w1 = 6741.933, w2 = 6599.703, dw =  -0.0862, nw = 1651
120903.0009.ec.fits: ap = 34, w1 = 6663.547, w2 = 6522.973, dw =  -0.0852, nw = 1651
120903.0009.ec.fits: ap = 35, w1 = 6586.964, w2 = 6448.007, dw = -0.08422, nw = 1651
120903.0009.ec.fits: ap = 36, w1 =  6512.12, w2 = 6374.745, dw = -0.08326, nw = 1651
120903.0009.ec.fits: ap = 37, w1 = 6438.959, w2 = 6303.129, dw = -0.08232, nw = 1651
120903.0009.ec.fits: ap = 38, w1 = 6367.424, w2 = 6233.105, dw = -0.08141, nw = 1651
120903.0009.ec.fits: ap = 39, w1 =  6297.46, w2 = 6164.619, dw = -0.08051, nw = 1651
120903.0009.ec.fits: ap = 40, w1 = 6229.018, w2 = 6097.623, dw = -0.07963, nw = 1651
120903.0009.ec.fits: ap = 41, w1 = 6162.048, w2 = 6032.067, dw = -0.07878, nw = 1651
120903.0009.ec.fits: ap = 42, w1 = 6096.503, w2 = 5967.907, dw = -0.07794, nw = 1651
120903.0009.ec.fits: ap = 43, w1 = 6032.337, w2 = 5905.097, dw = -0.07712, nw = 1651
120903.0009.ec.fits: ap = 44, w1 = 5969.508, w2 = 5843.596, dw = -0.07631, nw = 1651
120903.0009.ec.fits: ap = 45, w1 = 5907.975, w2 = 5783.362, dw = -0.07552, nw = 1651
120903.0009.ec.fits: ap = 46, w1 = 5847.698, w2 = 5724.359, dw = -0.07475, nw = 1651
120903.0009.ec.fits: ap = 47, w1 = 5788.639, w2 = 5666.547, dw = -0.07399, nw = 1651
120903.0009.ec.fits: ap = 48, w1 =  5730.76, w2 = 5609.892, dw = -0.07325, nw = 1651
120903.0009.ec.fits: ap = 49, w1 = 5674.028, w2 = 5554.358, dw = -0.07253, nw = 1651
120903.0009.ec.fits: ap = 50, w1 = 5618.408, w2 = 5499.914, dw = -0.07181, nw = 1651
120903.0009.ec.fits: ap = 51, w1 = 5563.869, w2 = 5446.527, dw = -0.07112, nw = 1651
120903.0009.ec.fits: ap = 52, w1 = 5510.378, w2 = 5394.167, dw = -0.07043, nw = 1651
120903.0009.ec.fits: ap = 53, w1 = 5457.906, w2 = 5342.804, dw = -0.06976, nw = 1651
120903.0009.ec.fits: ap = 54, w1 = 5406.425, w2 =  5292.41, dw =  -0.0691, nw = 1651
120903.0009.ec.fits: ap = 55, w1 = 5355.906, w2 = 5242.958, dw = -0.06845, nw = 1651
120903.0009.ec.fits: ap = 56, w1 = 5306.322, w2 = 5194.422, dw = -0.06782, nw = 1651
120903.0009.ec.fits: ap = 57, w1 = 5257.648, w2 = 5146.777, dw = -0.06719, nw = 1651
120903.0009.ec.fits: ap = 58, w1 = 5209.859, w2 = 5099.998, dw = -0.06658, nw = 1651
120903.0009.ec.fits: ap = 59, w1 = 5162.932, w2 = 5054.062, dw = -0.06598, nw = 1651
120903.0009.ec.fits: ap = 60, w1 = 5116.842, w2 = 5008.947, dw = -0.06539, nw = 1651
120903.0009.ec.fits: ap = 61, w1 = 5071.569, w2 =  4964.63, dw = -0.06481, nw = 1651
120903.0009.ec.fits: ap = 62, w1 = 5027.089, w2 = 4921.091, dw = -0.06424, nw = 1651
120903.0009.ec.fits: ap = 63, w1 = 4983.384, w2 = 4878.309, dw = -0.06368, nw = 1651
120903.0009.ec.fits: ap = 64, w1 = 4940.432, w2 = 4836.264, dw = -0.06313, nw = 1651
120903.0009.ec.fits: ap = 65, w1 = 4898.214, w2 = 4794.939, dw = -0.06259, nw = 1651
120903.0009.ec.fits: ap = 66, w1 = 4856.712, w2 = 4754.314, dw = -0.06206, nw = 1651
120903.0009.ec.fits: ap = 67, w1 = 4815.908, w2 = 4714.372, dw = -0.06154, nw = 1651
120903.0009.ec.fits: ap = 68, w1 = 4775.784, w2 = 4675.095, dw = -0.06102, nw = 1651
120903.0009.ec.fits: ap = 69, w1 = 4736.323, w2 = 4636.468, dw = -0.06052, nw = 1651
120903.0009.ec.fits: ap = 70, w1 = 4697.509, w2 = 4598.474, dw = -0.06002, nw = 1651
120903.0009.ec.fits: ap = 71, w1 = 4659.326, w2 = 4561.098, dw = -0.05953, nw = 1651
120903.0009.ec.fits: ap = 72, w1 =  4621.76, w2 = 4524.325, dw = -0.05905, nw = 1651
120903.0009.ec.fits: ap = 73, w1 = 4584.795, w2 =  4488.14, dw = -0.05858, nw = 1651
120903.0009.ec.fits: ap = 74, w1 = 4548.416, w2 =  4452.53, dw = -0.05811, nw = 1651
120903.0009.ec.fits: ap = 75, w1 = 4512.611, w2 = 4417.481, dw = -0.05765, nw = 1651
120903.0009.ec.fits: ap = 76, w1 = 4477.365, w2 = 4382.979, dw =  -0.0572, nw = 1651
120903.0009.ec.fits: ap = 77, w1 = 4442.666, w2 = 4349.012, dw = -0.05676, nw = 1651
120903.0009.ec.fits: ap = 78, w1 = 4408.501, w2 = 4315.568, dw = -0.05632, nw = 1651
120903.0009.ec.fits: ap = 79, w1 = 4374.857, w2 = 4282.635, dw = -0.05589, nw = 1651
120903.0009.ec.fits: ap = 80, w1 = 4341.724, w2 =   4250.2, dw = -0.05547, nw = 1651
120903.0009.ec.fits: ap = 81, w1 = 4309.089, w2 = 4218.253, dw = -0.05505, nw = 1651
120903.0009.ec.fits: ap = 82, w1 = 4276.941, w2 = 4186.784, dw = -0.05464, nw = 1651
120903.0009.ec.fits: ap = 83, w1 =  4245.27, w2 =  4155.78, dw = -0.05424, nw = 1651
120903.0009.ec.fits: ap = 84, w1 = 4214.064, w2 = 4125.232, dw = -0.05384, nw = 1651
120903.0009.ec.fits: ap = 85, w1 = 4183.315, w2 = 4095.131, dw = -0.05344, nw = 1651
120903.0009.ec.fits: ap = 86, w1 = 4153.011, w2 = 4065.465, dw = -0.05306, nw = 1651
120903.0009.ec.fits: ap = 87, w1 = 4123.143, w2 = 4036.227, dw = -0.05268, nw = 1651
120903.0009.ec.fits: ap = 88, w1 = 4093.703, w2 = 4007.406, dw =  -0.0523, nw = 1651
120903.0009.ec.fits: ap = 89, w1 =  4064.68, w2 = 3978.994, dw = -0.05193, nw = 1651
120903.0009.ec.fits: ap = 90, w1 = 4036.066, w2 = 3950.982, dw = -0.05157, nw = 1651
120903.0009.ec.fits: ap = 91, w1 = 4007.853, w2 = 3923.362, dw = -0.05121, nw = 1651
120903.0009.ec.fits: ap = 92, w1 = 3980.031, w2 = 3896.125, dw = -0.05085, nw = 1651
120903.0009.ec.fits: ap = 93, w1 = 3952.594, w2 = 3869.264, dw =  -0.0505, nw = 1651
120903.0009.ec.fits: ap = 94, w1 = 3925.533, w2 = 3842.771, dw = -0.05016, nw = 1651
120903.0009.ec.fits: ap = 95, w1 =  3898.84, w2 = 3816.639, dw = -0.04982, nw = 1651
120903.0009.ec.fits: ap = 96, w1 = 3872.508, w2 =  3790.86, dw = -0.04948, nw = 1651
120903.0009.ec.fits: ap = 97, w1 =  3846.53, w2 = 3765.426, dw = -0.04915, nw = 1651
120903.0009.ec.fits: ap = 98, w1 = 3820.898, w2 = 3740.332, dw = -0.04883, nw = 1651
120903.0009.ec.fits: ap = 99, w1 = 3795.606, w2 =  3715.57, dw = -0.04851, nw = 1651
120903.0009.ec.fits: ap = 100, w1 = 3770.648, w2 = 3691.134, dw = -0.04819, nw = 1651
120903.0009.ec.fits: ap = 101, w1 = 3746.016, w2 = 3667.017, dw = -0.04788, nw = 1651
120903.0009.ec.fits: ap = 102, w1 = 3721.704, w2 = 3643.213, dw = -0.04757, nw = 1651
120903.0009.ec.fits: ap = 103, w1 = 3697.706, w2 = 3619.717, dw = -0.04727, nw = 1651
120903.0009.ec.fits: ap = 104, w1 = 3674.015, w2 = 3596.521, dw = -0.04697, nw = 1651
120903.0009.ec.fits: ap = 105, w1 = 3650.627, w2 = 3573.621, dw = -0.04667, nw = 1651
120903.0009.ec.fits: ap = 106, w1 = 3627.536, w2 = 3551.011, dw = -0.04638, nw = 1651
120903.0009.ec.fits: ap = 107, w1 = 3604.735, w2 = 3528.685, dw = -0.04609, nw = 1651
120903.0009.ec.fits: ap = 108, w1 = 3582.219, w2 = 3506.638, dw = -0.04581, nw = 1651
120903.0009.ec.fits: ap = 109, w1 = 3559.984, w2 = 3484.865, dw = -0.04553, nw = 1651
120903.0009.ec.fits: ap = 110, w1 = 3538.023, w2 =  3463.36, dw = -0.04525, nw = 1651
120903.0009.ec.fits: ap = 111, w1 = 3516.332, w2 =  3442.12, dw = -0.04498, nw = 1651
120903.0009.ec.fits: ap = 112, w1 = 3494.906, w2 = 3421.138, dw = -0.04471, nw = 1651
120903.0009.ec.fits: ap = 113, w1 =  3473.74, w2 =  3400.41, dw = -0.04444, nw = 1651
120903.0009.ec.fits: ap = 114, w1 =  3452.83, w2 = 3379.932, dw = -0.04418, nw = 1651
120903.0009.ec.fits: ap = 115, w1 =  3432.17, w2 = 3359.699, dw = -0.04392, nw = 1651
120903.0010.ec.fits: REFSPEC1 = '120903.0004.ec 1.'
120903.0010.ec.fits: ap = 1, w1 =  10812.1, w2 = 10583.85, dw = -0.13833, nw = 1651
120903.0010.ec.fits: ap = 2, w1 = 10611.89, w2 = 10387.87, dw = -0.13577, nw = 1651
120903.0010.ec.fits: ap = 3, w1 = 10418.96, w2 = 10199.02, dw = -0.13329, nw = 1651
120903.0010.ec.fits: ap = 4, w1 = 10232.92, w2 = 10016.92, dw = -0.13091, nw = 1651
120903.0010.ec.fits: ap = 5, w1 =  10053.4, w2 = 9841.201, dw = -0.12861, nw = 1651
120903.0010.ec.fits: ap = 6, w1 = 9880.081, w2 = 9671.543, dw = -0.12639, nw = 1651
120903.0010.ec.fits: ap = 7, w1 = 9712.634, w2 = 9507.636, dw = -0.12424, nw = 1651
120903.0010.ec.fits: ap = 8, w1 = 9550.768, w2 = 9349.193, dw = -0.12217, nw = 1651
120903.0010.ec.fits: ap = 9, w1 =  9394.21, w2 = 9195.944, dw = -0.12016, nw = 1651
120903.0010.ec.fits: ap = 10, w1 = 9242.702, w2 = 9047.638, dw = -0.11822, nw = 1651
120903.0010.ec.fits: ap = 11, w1 = 9096.003, w2 =  8904.04, dw = -0.11634, nw = 1651
120903.0010.ec.fits: ap = 12, w1 = 8953.889, w2 =  8764.93, dw = -0.11452, nw = 1651
120903.0010.ec.fits: ap = 13, w1 = 8816.148, w2 =   8630.1, dw = -0.11276, nw = 1651
120903.0010.ec.fits: ap = 14, w1 = 8682.581, w2 = 8499.355, dw = -0.11105, nw = 1651
120903.0010.ec.fits: ap = 15, w1 = 8553.001, w2 = 8372.513, dw = -0.10939, nw = 1651
120903.0010.ec.fits: ap = 16, w1 = 8427.232, w2 = 8249.402, dw = -0.10778, nw = 1651
120903.0010.ec.fits: ap = 17, w1 = 8305.109, w2 = 8129.859, dw = -0.10621, nw = 1651
120903.0010.ec.fits: ap = 18, w1 = 8186.475, w2 = 8013.731, dw = -0.10469, nw = 1651
120903.0010.ec.fits: ap = 19, w1 = 8071.182, w2 = 7900.875, dw = -0.10322, nw = 1651
120903.0010.ec.fits: ap = 20, w1 = 7959.093, w2 = 7791.153, dw = -0.10178, nw = 1651
120903.0010.ec.fits: ap = 21, w1 = 7850.074, w2 = 7684.437, dw = -0.10039, nw = 1651
120903.0010.ec.fits: ap = 22, w1 = 7744.002, w2 = 7580.606, dw = -0.09903, nw = 1651
120903.0010.ec.fits: ap = 23, w1 = 7640.758, w2 = 7479.543, dw = -0.09771, nw = 1651
120903.0010.ec.fits: ap = 24, w1 = 7540.232, w2 =  7381.14, dw = -0.09642, nw = 1651
120903.0010.ec.fits: ap = 25, w1 = 7442.316, w2 = 7285.293, dw = -0.09517, nw = 1651
120903.0010.ec.fits: ap = 26, w1 = 7346.911, w2 = 7191.903, dw = -0.09394, nw = 1651
120903.0010.ec.fits: ap = 27, w1 = 7253.922, w2 = 7100.878, dw = -0.09275, nw = 1651
120903.0010.ec.fits: ap = 28, w1 = 7163.257, w2 = 7012.128, dw = -0.09159, nw = 1651
120903.0010.ec.fits: ap = 29, w1 = 7074.831, w2 =  6925.57, dw = -0.09046, nw = 1651
120903.0010.ec.fits: ap = 30, w1 = 6988.562, w2 = 6841.122, dw = -0.08936, nw = 1651
120903.0010.ec.fits: ap = 31, w1 = 6904.371, w2 =  6758.71, dw = -0.08828, nw = 1651
120903.0010.ec.fits: ap = 32, w1 = 6822.185, w2 =  6678.26, dw = -0.08723, nw = 1651
120903.0010.ec.fits: ap = 33, w1 = 6741.933, w2 = 6599.703, dw =  -0.0862, nw = 1651
120903.0010.ec.fits: ap = 34, w1 = 6663.547, w2 = 6522.973, dw =  -0.0852, nw = 1651
120903.0010.ec.fits: ap = 35, w1 = 6586.964, w2 = 6448.007, dw = -0.08422, nw = 1651
120903.0010.ec.fits: ap = 36, w1 =  6512.12, w2 = 6374.745, dw = -0.08326, nw = 1651
120903.0010.ec.fits: ap = 37, w1 = 6438.959, w2 = 6303.129, dw = -0.08232, nw = 1651
120903.0010.ec.fits: ap = 38, w1 = 6367.424, w2 = 6233.105, dw = -0.08141, nw = 1651
120903.0010.ec.fits: ap = 39, w1 =  6297.46, w2 = 6164.619, dw = -0.08051, nw = 1651
120903.0010.ec.fits: ap = 40, w1 = 6229.018, w2 = 6097.623, dw = -0.07963, nw = 1651
120903.0010.ec.fits: ap = 41, w1 = 6162.048, w2 = 6032.067, dw = -0.07878, nw = 1651
120903.0010.ec.fits: ap = 42, w1 = 6096.503, w2 = 5967.907, dw = -0.07794, nw = 1651
120903.0010.ec.fits: ap = 43, w1 = 6032.337, w2 = 5905.097, dw = -0.07712, nw = 1651
120903.0010.ec.fits: ap = 44, w1 = 5969.508, w2 = 5843.596, dw = -0.07631, nw = 1651
120903.0010.ec.fits: ap = 45, w1 = 5907.975, w2 = 5783.362, dw = -0.07552, nw = 1651
120903.0010.ec.fits: ap = 46, w1 = 5847.698, w2 = 5724.359, dw = -0.07475, nw = 1651
120903.0010.ec.fits: ap = 47, w1 = 5788.639, w2 = 5666.547, dw = -0.07399, nw = 1651
120903.0010.ec.fits: ap = 48, w1 =  5730.76, w2 = 5609.892, dw = -0.07325, nw = 1651
120903.0010.ec.fits: ap = 49, w1 = 5674.028, w2 = 5554.358, dw = -0.07253, nw = 1651
120903.0010.ec.fits: ap = 50, w1 = 5618.408, w2 = 5499.914, dw = -0.07181, nw = 1651
120903.0010.ec.fits: ap = 51, w1 = 5563.869, w2 = 5446.527, dw = -0.07112, nw = 1651
120903.0010.ec.fits: ap = 52, w1 = 5510.378, w2 = 5394.167, dw = -0.07043, nw = 1651
120903.0010.ec.fits: ap = 53, w1 = 5457.906, w2 = 5342.804, dw = -0.06976, nw = 1651
120903.0010.ec.fits: ap = 54, w1 = 5406.425, w2 =  5292.41, dw =  -0.0691, nw = 1651
120903.0010.ec.fits: ap = 55, w1 = 5355.906, w2 = 5242.958, dw = -0.06845, nw = 1651
120903.0010.ec.fits: ap = 56, w1 = 5306.322, w2 = 5194.422, dw = -0.06782, nw = 1651
120903.0010.ec.fits: ap = 57, w1 = 5257.648, w2 = 5146.777, dw = -0.06719, nw = 1651
120903.0010.ec.fits: ap = 58, w1 = 5209.859, w2 = 5099.998, dw = -0.06658, nw = 1651
120903.0010.ec.fits: ap = 59, w1 = 5162.932, w2 = 5054.062, dw = -0.06598, nw = 1651
120903.0010.ec.fits: ap = 60, w1 = 5116.842, w2 = 5008.947, dw = -0.06539, nw = 1651
120903.0010.ec.fits: ap = 61, w1 = 5071.569, w2 =  4964.63, dw = -0.06481, nw = 1651
120903.0010.ec.fits: ap = 62, w1 = 5027.089, w2 = 4921.091, dw = -0.06424, nw = 1651
120903.0010.ec.fits: ap = 63, w1 = 4983.384, w2 = 4878.309, dw = -0.06368, nw = 1651
120903.0010.ec.fits: ap = 64, w1 = 4940.432, w2 = 4836.264, dw = -0.06313, nw = 1651
120903.0010.ec.fits: ap = 65, w1 = 4898.214, w2 = 4794.939, dw = -0.06259, nw = 1651
120903.0010.ec.fits: ap = 66, w1 = 4856.712, w2 = 4754.314, dw = -0.06206, nw = 1651
120903.0010.ec.fits: ap = 67, w1 = 4815.908, w2 = 4714.372, dw = -0.06154, nw = 1651
120903.0010.ec.fits: ap = 68, w1 = 4775.784, w2 = 4675.095, dw = -0.06102, nw = 1651
120903.0010.ec.fits: ap = 69, w1 = 4736.323, w2 = 4636.468, dw = -0.06052, nw = 1651
120903.0010.ec.fits: ap = 70, w1 = 4697.509, w2 = 4598.474, dw = -0.06002, nw = 1651
120903.0010.ec.fits: ap = 71, w1 = 4659.326, w2 = 4561.098, dw = -0.05953, nw = 1651
120903.0010.ec.fits: ap = 72, w1 =  4621.76, w2 = 4524.325, dw = -0.05905, nw = 1651
120903.0010.ec.fits: ap = 73, w1 = 4584.795, w2 =  4488.14, dw = -0.05858, nw = 1651
120903.0010.ec.fits: ap = 74, w1 = 4548.416, w2 =  4452.53, dw = -0.05811, nw = 1651
120903.0010.ec.fits: ap = 75, w1 = 4512.611, w2 = 4417.481, dw = -0.05765, nw = 1651
120903.0010.ec.fits: ap = 76, w1 = 4477.365, w2 = 4382.979, dw =  -0.0572, nw = 1651
120903.0010.ec.fits: ap = 77, w1 = 4442.666, w2 = 4349.012, dw = -0.05676, nw = 1651
120903.0010.ec.fits: ap = 78, w1 = 4408.501, w2 = 4315.568, dw = -0.05632, nw = 1651
120903.0010.ec.fits: ap = 79, w1 = 4374.857, w2 = 4282.635, dw = -0.05589, nw = 1651
120903.0010.ec.fits: ap = 80, w1 = 4341.724, w2 =   4250.2, dw = -0.05547, nw = 1651
120903.0010.ec.fits: ap = 81, w1 = 4309.089, w2 = 4218.253, dw = -0.05505, nw = 1651
120903.0010.ec.fits: ap = 82, w1 = 4276.941, w2 = 4186.784, dw = -0.05464, nw = 1651
120903.0010.ec.fits: ap = 83, w1 =  4245.27, w2 =  4155.78, dw = -0.05424, nw = 1651
120903.0010.ec.fits: ap = 84, w1 = 4214.064, w2 = 4125.232, dw = -0.05384, nw = 1651
120903.0010.ec.fits: ap = 85, w1 = 4183.315, w2 = 4095.131, dw = -0.05344, nw = 1651
120903.0010.ec.fits: ap = 86, w1 = 4153.011, w2 = 4065.465, dw = -0.05306, nw = 1651
120903.0010.ec.fits: ap = 87, w1 = 4123.143, w2 = 4036.227, dw = -0.05268, nw = 1651
120903.0010.ec.fits: ap = 88, w1 = 4093.703, w2 = 4007.406, dw =  -0.0523, nw = 1651
120903.0010.ec.fits: ap = 89, w1 =  4064.68, w2 = 3978.994, dw = -0.05193, nw = 1651
120903.0010.ec.fits: ap = 90, w1 = 4036.066, w2 = 3950.982, dw = -0.05157, nw = 1651
120903.0010.ec.fits: ap = 91, w1 = 4007.853, w2 = 3923.362, dw = -0.05121, nw = 1651
120903.0010.ec.fits: ap = 92, w1 = 3980.031, w2 = 3896.125, dw = -0.05085, nw = 1651
120903.0010.ec.fits: ap = 93, w1 = 3952.594, w2 = 3869.264, dw =  -0.0505, nw = 1651
120903.0010.ec.fits: ap = 94, w1 = 3925.533, w2 = 3842.771, dw = -0.05016, nw = 1651
120903.0010.ec.fits: ap = 95, w1 =  3898.84, w2 = 3816.639, dw = -0.04982, nw = 1651
120903.0010.ec.fits: ap = 96, w1 = 3872.508, w2 =  3790.86, dw = -0.04948, nw = 1651
120903.0010.ec.fits: ap = 97, w1 =  3846.53, w2 = 3765.426, dw = -0.04915, nw = 1651
120903.0010.ec.fits: ap = 98, w1 = 3820.898, w2 = 3740.332, dw = -0.04883, nw = 1651
120903.0010.ec.fits: ap = 99, w1 = 3795.606, w2 =  3715.57, dw = -0.04851, nw = 1651
120903.0010.ec.fits: ap = 100, w1 = 3770.648, w2 = 3691.134, dw = -0.04819, nw = 1651
120903.0010.ec.fits: ap = 101, w1 = 3746.016, w2 = 3667.017, dw = -0.04788, nw = 1651
120903.0010.ec.fits: ap = 102, w1 = 3721.704, w2 = 3643.213, dw = -0.04757, nw = 1651
120903.0010.ec.fits: ap = 103, w1 = 3697.706, w2 = 3619.717, dw = -0.04727, nw = 1651
120903.0010.ec.fits: ap = 104, w1 = 3674.015, w2 = 3596.521, dw = -0.04697, nw = 1651
120903.0010.ec.fits: ap = 105, w1 = 3650.627, w2 = 3573.621, dw = -0.04667, nw = 1651
120903.0010.ec.fits: ap = 106, w1 = 3627.536, w2 = 3551.011, dw = -0.04638, nw = 1651
120903.0010.ec.fits: ap = 107, w1 = 3604.735, w2 = 3528.685, dw = -0.04609, nw = 1651
120903.0010.ec.fits: ap = 108, w1 = 3582.219, w2 = 3506.638, dw = -0.04581, nw = 1651
120903.0010.ec.fits: ap = 109, w1 = 3559.984, w2 = 3484.865, dw = -0.04553, nw = 1651
120903.0010.ec.fits: ap = 110, w1 = 3538.023, w2 =  3463.36, dw = -0.04525, nw = 1651
120903.0010.ec.fits: ap = 111, w1 = 3516.332, w2 =  3442.12, dw = -0.04498, nw = 1651
120903.0010.ec.fits: ap = 112, w1 = 3494.906, w2 = 3421.138, dw = -0.04471, nw = 1651
120903.0010.ec.fits: ap = 113, w1 =  3473.74, w2 =  3400.41, dw = -0.04444, nw = 1651
120903.0010.ec.fits: ap = 114, w1 =  3452.83, w2 = 3379.932, dw = -0.04418, nw = 1651
120903.0010.ec.fits: ap = 115, w1 =  3432.17, w2 = 3359.699, dw = -0.04392, nw = 1651
120903.0011.ec.fits: REFSPEC1 = '120903.0004.ec 1.'
120903.0011.ec.fits: ap = 1, w1 =  10812.1, w2 = 10583.85, dw = -0.13833, nw = 1651
120903.0011.ec.fits: ap = 2, w1 = 10611.89, w2 = 10387.87, dw = -0.13577, nw = 1651
120903.0011.ec.fits: ap = 3, w1 = 10418.96, w2 = 10199.02, dw = -0.13329, nw = 1651
120903.0011.ec.fits: ap = 4, w1 = 10232.92, w2 = 10016.92, dw = -0.13091, nw = 1651
120903.0011.ec.fits: ap = 5, w1 =  10053.4, w2 = 9841.201, dw = -0.12861, nw = 1651
120903.0011.ec.fits: ap = 6, w1 = 9880.081, w2 = 9671.543, dw = -0.12639, nw = 1651
120903.0011.ec.fits: ap = 7, w1 = 9712.634, w2 = 9507.636, dw = -0.12424, nw = 1651
120903.0011.ec.fits: ap = 8, w1 = 9550.768, w2 = 9349.193, dw = -0.12217, nw = 1651
120903.0011.ec.fits: ap = 9, w1 =  9394.21, w2 = 9195.944, dw = -0.12016, nw = 1651
120903.0011.ec.fits: ap = 10, w1 = 9242.702, w2 = 9047.638, dw = -0.11822, nw = 1651
120903.0011.ec.fits: ap = 11, w1 = 9096.003, w2 =  8904.04, dw = -0.11634, nw = 1651
120903.0011.ec.fits: ap = 12, w1 = 8953.889, w2 =  8764.93, dw = -0.11452, nw = 1651
120903.0011.ec.fits: ap = 13, w1 = 8816.148, w2 =   8630.1, dw = -0.11276, nw = 1651
120903.0011.ec.fits: ap = 14, w1 = 8682.581, w2 = 8499.355, dw = -0.11105, nw = 1651
120903.0011.ec.fits: ap = 15, w1 = 8553.001, w2 = 8372.513, dw = -0.10939, nw = 1651
120903.0011.ec.fits: ap = 16, w1 = 8427.232, w2 = 8249.402, dw = -0.10778, nw = 1651
120903.0011.ec.fits: ap = 17, w1 = 8305.109, w2 = 8129.859, dw = -0.10621, nw = 1651
120903.0011.ec.fits: ap = 18, w1 = 8186.475, w2 = 8013.731, dw = -0.10469, nw = 1651
120903.0011.ec.fits: ap = 19, w1 = 8071.182, w2 = 7900.875, dw = -0.10322, nw = 1651
120903.0011.ec.fits: ap = 20, w1 = 7959.093, w2 = 7791.153, dw = -0.10178, nw = 1651
120903.0011.ec.fits: ap = 21, w1 = 7850.074, w2 = 7684.437, dw = -0.10039, nw = 1651
120903.0011.ec.fits: ap = 22, w1 = 7744.002, w2 = 7580.606, dw = -0.09903, nw = 1651
120903.0011.ec.fits: ap = 23, w1 = 7640.758, w2 = 7479.543, dw = -0.09771, nw = 1651
120903.0011.ec.fits: ap = 24, w1 = 7540.232, w2 =  7381.14, dw = -0.09642, nw = 1651
120903.0011.ec.fits: ap = 25, w1 = 7442.316, w2 = 7285.293, dw = -0.09517, nw = 1651
120903.0011.ec.fits: ap = 26, w1 = 7346.911, w2 = 7191.903, dw = -0.09394, nw = 1651
120903.0011.ec.fits: ap = 27, w1 = 7253.922, w2 = 7100.878, dw = -0.09275, nw = 1651
120903.0011.ec.fits: ap = 28, w1 = 7163.257, w2 = 7012.128, dw = -0.09159, nw = 1651
120903.0011.ec.fits: ap = 29, w1 = 7074.831, w2 =  6925.57, dw = -0.09046, nw = 1651
120903.0011.ec.fits: ap = 30, w1 = 6988.562, w2 = 6841.122, dw = -0.08936, nw = 1651
120903.0011.ec.fits: ap = 31, w1 = 6904.371, w2 =  6758.71, dw = -0.08828, nw = 1651
120903.0011.ec.fits: ap = 32, w1 = 6822.185, w2 =  6678.26, dw = -0.08723, nw = 1651
120903.0011.ec.fits: ap = 33, w1 = 6741.933, w2 = 6599.703, dw =  -0.0862, nw = 1651
120903.0011.ec.fits: ap = 34, w1 = 6663.547, w2 = 6522.973, dw =  -0.0852, nw = 1651
120903.0011.ec.fits: ap = 35, w1 = 6586.964, w2 = 6448.007, dw = -0.08422, nw = 1651
120903.0011.ec.fits: ap = 36, w1 =  6512.12, w2 = 6374.745, dw = -0.08326, nw = 1651
120903.0011.ec.fits: ap = 37, w1 = 6438.959, w2 = 6303.129, dw = -0.08232, nw = 1651
120903.0011.ec.fits: ap = 38, w1 = 6367.424, w2 = 6233.105, dw = -0.08141, nw = 1651
120903.0011.ec.fits: ap = 39, w1 =  6297.46, w2 = 6164.619, dw = -0.08051, nw = 1651
120903.0011.ec.fits: ap = 40, w1 = 6229.018, w2 = 6097.623, dw = -0.07963, nw = 1651
120903.0011.ec.fits: ap = 41, w1 = 6162.048, w2 = 6032.067, dw = -0.07878, nw = 1651
120903.0011.ec.fits: ap = 42, w1 = 6096.503, w2 = 5967.907, dw = -0.07794, nw = 1651
120903.0011.ec.fits: ap = 43, w1 = 6032.337, w2 = 5905.097, dw = -0.07712, nw = 1651
120903.0011.ec.fits: ap = 44, w1 = 5969.508, w2 = 5843.596, dw = -0.07631, nw = 1651
120903.0011.ec.fits: ap = 45, w1 = 5907.975, w2 = 5783.362, dw = -0.07552, nw = 1651
120903.0011.ec.fits: ap = 46, w1 = 5847.698, w2 = 5724.359, dw = -0.07475, nw = 1651
120903.0011.ec.fits: ap = 47, w1 = 5788.639, w2 = 5666.547, dw = -0.07399, nw = 1651
120903.0011.ec.fits: ap = 48, w1 =  5730.76, w2 = 5609.892, dw = -0.07325, nw = 1651
120903.0011.ec.fits: ap = 49, w1 = 5674.028, w2 = 5554.358, dw = -0.07253, nw = 1651
120903.0011.ec.fits: ap = 50, w1 = 5618.408, w2 = 5499.914, dw = -0.07181, nw = 1651
120903.0011.ec.fits: ap = 51, w1 = 5563.869, w2 = 5446.527, dw = -0.07112, nw = 1651
120903.0011.ec.fits: ap = 52, w1 = 5510.378, w2 = 5394.167, dw = -0.07043, nw = 1651
120903.0011.ec.fits: ap = 53, w1 = 5457.906, w2 = 5342.804, dw = -0.06976, nw = 1651
120903.0011.ec.fits: ap = 54, w1 = 5406.425, w2 =  5292.41, dw =  -0.0691, nw = 1651
120903.0011.ec.fits: ap = 55, w1 = 5355.906, w2 = 5242.958, dw = -0.06845, nw = 1651
120903.0011.ec.fits: ap = 56, w1 = 5306.322, w2 = 5194.422, dw = -0.06782, nw = 1651
120903.0011.ec.fits: ap = 57, w1 = 5257.648, w2 = 5146.777, dw = -0.06719, nw = 1651
120903.0011.ec.fits: ap = 58, w1 = 5209.859, w2 = 5099.998, dw = -0.06658, nw = 1651
120903.0011.ec.fits: ap = 59, w1 = 5162.932, w2 = 5054.062, dw = -0.06598, nw = 1651
120903.0011.ec.fits: ap = 60, w1 = 5116.842, w2 = 5008.947, dw = -0.06539, nw = 1651
120903.0011.ec.fits: ap = 61, w1 = 5071.569, w2 =  4964.63, dw = -0.06481, nw = 1651
120903.0011.ec.fits: ap = 62, w1 = 5027.089, w2 = 4921.091, dw = -0.06424, nw = 1651
120903.0011.ec.fits: ap = 63, w1 = 4983.384, w2 = 4878.309, dw = -0.06368, nw = 1651
120903.0011.ec.fits: ap = 64, w1 = 4940.432, w2 = 4836.264, dw = -0.06313, nw = 1651
120903.0011.ec.fits: ap = 65, w1 = 4898.214, w2 = 4794.939, dw = -0.06259, nw = 1651
120903.0011.ec.fits: ap = 66, w1 = 4856.712, w2 = 4754.314, dw = -0.06206, nw = 1651
120903.0011.ec.fits: ap = 67, w1 = 4815.908, w2 = 4714.372, dw = -0.06154, nw = 1651
120903.0011.ec.fits: ap = 68, w1 = 4775.784, w2 = 4675.095, dw = -0.06102, nw = 1651
120903.0011.ec.fits: ap = 69, w1 = 4736.323, w2 = 4636.468, dw = -0.06052, nw = 1651
120903.0011.ec.fits: ap = 70, w1 = 4697.509, w2 = 4598.474, dw = -0.06002, nw = 1651
120903.0011.ec.fits: ap = 71, w1 = 4659.326, w2 = 4561.098, dw = -0.05953, nw = 1651
120903.0011.ec.fits: ap = 72, w1 =  4621.76, w2 = 4524.325, dw = -0.05905, nw = 1651
120903.0011.ec.fits: ap = 73, w1 = 4584.795, w2 =  4488.14, dw = -0.05858, nw = 1651
120903.0011.ec.fits: ap = 74, w1 = 4548.416, w2 =  4452.53, dw = -0.05811, nw = 1651
120903.0011.ec.fits: ap = 75, w1 = 4512.611, w2 = 4417.481, dw = -0.05765, nw = 1651
120903.0011.ec.fits: ap = 76, w1 = 4477.365, w2 = 4382.979, dw =  -0.0572, nw = 1651
120903.0011.ec.fits: ap = 77, w1 = 4442.666, w2 = 4349.012, dw = -0.05676, nw = 1651
120903.0011.ec.fits: ap = 78, w1 = 4408.501, w2 = 4315.568, dw = -0.05632, nw = 1651
120903.0011.ec.fits: ap = 79, w1 = 4374.857, w2 = 4282.635, dw = -0.05589, nw = 1651
120903.0011.ec.fits: ap = 80, w1 = 4341.724, w2 =   4250.2, dw = -0.05547, nw = 1651
120903.0011.ec.fits: ap = 81, w1 = 4309.089, w2 = 4218.253, dw = -0.05505, nw = 1651
120903.0011.ec.fits: ap = 82, w1 = 4276.941, w2 = 4186.784, dw = -0.05464, nw = 1651
120903.0011.ec.fits: ap = 83, w1 =  4245.27, w2 =  4155.78, dw = -0.05424, nw = 1651
120903.0011.ec.fits: ap = 84, w1 = 4214.064, w2 = 4125.232, dw = -0.05384, nw = 1651
120903.0011.ec.fits: ap = 85, w1 = 4183.315, w2 = 4095.131, dw = -0.05344, nw = 1651
120903.0011.ec.fits: ap = 86, w1 = 4153.011, w2 = 4065.465, dw = -0.05306, nw = 1651
120903.0011.ec.fits: ap = 87, w1 = 4123.143, w2 = 4036.227, dw = -0.05268, nw = 1651
120903.0011.ec.fits: ap = 88, w1 = 4093.703, w2 = 4007.406, dw =  -0.0523, nw = 1651
120903.0011.ec.fits: ap = 89, w1 =  4064.68, w2 = 3978.994, dw = -0.05193, nw = 1651
120903.0011.ec.fits: ap = 90, w1 = 4036.066, w2 = 3950.982, dw = -0.05157, nw = 1651
120903.0011.ec.fits: ap = 91, w1 = 4007.853, w2 = 3923.362, dw = -0.05121, nw = 1651
120903.0011.ec.fits: ap = 92, w1 = 3980.031, w2 = 3896.125, dw = -0.05085, nw = 1651
120903.0011.ec.fits: ap = 93, w1 = 3952.594, w2 = 3869.264, dw =  -0.0505, nw = 1651
120903.0011.ec.fits: ap = 94, w1 = 3925.533, w2 = 3842.771, dw = -0.05016, nw = 1651
120903.0011.ec.fits: ap = 95, w1 =  3898.84, w2 = 3816.639, dw = -0.04982, nw = 1651
120903.0011.ec.fits: ap = 96, w1 = 3872.508, w2 =  3790.86, dw = -0.04948, nw = 1651
120903.0011.ec.fits: ap = 97, w1 =  3846.53, w2 = 3765.426, dw = -0.04915, nw = 1651
120903.0011.ec.fits: ap = 98, w1 = 3820.898, w2 = 3740.332, dw = -0.04883, nw = 1651
120903.0011.ec.fits: ap = 99, w1 = 3795.606, w2 =  3715.57, dw = -0.04851, nw = 1651
120903.0011.ec.fits: ap = 100, w1 = 3770.648, w2 = 3691.134, dw = -0.04819, nw = 1651
120903.0011.ec.fits: ap = 101, w1 = 3746.016, w2 = 3667.017, dw = -0.04788, nw = 1651
120903.0011.ec.fits: ap = 102, w1 = 3721.704, w2 = 3643.213, dw = -0.04757, nw = 1651
120903.0011.ec.fits: ap = 103, w1 = 3697.706, w2 = 3619.717, dw = -0.04727, nw = 1651
120903.0011.ec.fits: ap = 104, w1 = 3674.015, w2 = 3596.521, dw = -0.04697, nw = 1651
120903.0011.ec.fits: ap = 105, w1 = 3650.627, w2 = 3573.621, dw = -0.04667, nw = 1651
120903.0011.ec.fits: ap = 106, w1 = 3627.536, w2 = 3551.011, dw = -0.04638, nw = 1651
120903.0011.ec.fits: ap = 107, w1 = 3604.735, w2 = 3528.685, dw = -0.04609, nw = 1651
120903.0011.ec.fits: ap = 108, w1 = 3582.219, w2 = 3506.638, dw = -0.04581, nw = 1651
120903.0011.ec.fits: ap = 109, w1 = 3559.984, w2 = 3484.865, dw = -0.04553, nw = 1651
120903.0011.ec.fits: ap = 110, w1 = 3538.023, w2 =  3463.36, dw = -0.04525, nw = 1651
120903.0011.ec.fits: ap = 111, w1 = 3516.332, w2 =  3442.12, dw = -0.04498, nw = 1651
120903.0011.ec.fits: ap = 112, w1 = 3494.906, w2 = 3421.138, dw = -0.04471, nw = 1651
120903.0011.ec.fits: ap = 113, w1 =  3473.74, w2 =  3400.41, dw = -0.04444, nw = 1651
120903.0011.ec.fits: ap = 114, w1 =  3452.83, w2 = 3379.932, dw = -0.04418, nw = 1651
120903.0011.ec.fits: ap = 115, w1 =  3432.17, w2 = 3359.699, dw = -0.04392, nw = 1651
120903.0012.ec.fits: REFSPEC1 = '120903.0004.ec 1.'
120903.0012.ec.fits: ap = 1, w1 =  10812.1, w2 = 10583.85, dw = -0.13833, nw = 1651
120903.0012.ec.fits: ap = 2, w1 = 10611.89, w2 = 10387.87, dw = -0.13577, nw = 1651
120903.0012.ec.fits: ap = 3, w1 = 10418.96, w2 = 10199.02, dw = -0.13329, nw = 1651
120903.0012.ec.fits: ap = 4, w1 = 10232.92, w2 = 10016.92, dw = -0.13091, nw = 1651
120903.0012.ec.fits: ap = 5, w1 =  10053.4, w2 = 9841.201, dw = -0.12861, nw = 1651
120903.0012.ec.fits: ap = 6, w1 = 9880.081, w2 = 9671.543, dw = -0.12639, nw = 1651
120903.0012.ec.fits: ap = 7, w1 = 9712.634, w2 = 9507.636, dw = -0.12424, nw = 1651
120903.0012.ec.fits: ap = 8, w1 = 9550.768, w2 = 9349.193, dw = -0.12217, nw = 1651
120903.0012.ec.fits: ap = 9, w1 =  9394.21, w2 = 9195.944, dw = -0.12016, nw = 1651
120903.0012.ec.fits: ap = 10, w1 = 9242.702, w2 = 9047.638, dw = -0.11822, nw = 1651
120903.0012.ec.fits: ap = 11, w1 = 9096.003, w2 =  8904.04, dw = -0.11634, nw = 1651
120903.0012.ec.fits: ap = 12, w1 = 8953.889, w2 =  8764.93, dw = -0.11452, nw = 1651
120903.0012.ec.fits: ap = 13, w1 = 8816.148, w2 =   8630.1, dw = -0.11276, nw = 1651
120903.0012.ec.fits: ap = 14, w1 = 8682.581, w2 = 8499.355, dw = -0.11105, nw = 1651
120903.0012.ec.fits: ap = 15, w1 = 8553.001, w2 = 8372.513, dw = -0.10939, nw = 1651
120903.0012.ec.fits: ap = 16, w1 = 8427.232, w2 = 8249.402, dw = -0.10778, nw = 1651
120903.0012.ec.fits: ap = 17, w1 = 8305.109, w2 = 8129.859, dw = -0.10621, nw = 1651
120903.0012.ec.fits: ap = 18, w1 = 8186.475, w2 = 8013.731, dw = -0.10469, nw = 1651
120903.0012.ec.fits: ap = 19, w1 = 8071.182, w2 = 7900.875, dw = -0.10322, nw = 1651
120903.0012.ec.fits: ap = 20, w1 = 7959.093, w2 = 7791.153, dw = -0.10178, nw = 1651
120903.0012.ec.fits: ap = 21, w1 = 7850.074, w2 = 7684.437, dw = -0.10039, nw = 1651
120903.0012.ec.fits: ap = 22, w1 = 7744.002, w2 = 7580.606, dw = -0.09903, nw = 1651
120903.0012.ec.fits: ap = 23, w1 = 7640.758, w2 = 7479.543, dw = -0.09771, nw = 1651
120903.0012.ec.fits: ap = 24, w1 = 7540.232, w2 =  7381.14, dw = -0.09642, nw = 1651
120903.0012.ec.fits: ap = 25, w1 = 7442.316, w2 = 7285.293, dw = -0.09517, nw = 1651
120903.0012.ec.fits: ap = 26, w1 = 7346.911, w2 = 7191.903, dw = -0.09394, nw = 1651
120903.0012.ec.fits: ap = 27, w1 = 7253.922, w2 = 7100.878, dw = -0.09275, nw = 1651
120903.0012.ec.fits: ap = 28, w1 = 7163.257, w2 = 7012.128, dw = -0.09159, nw = 1651
120903.0012.ec.fits: ap = 29, w1 = 7074.831, w2 =  6925.57, dw = -0.09046, nw = 1651
120903.0012.ec.fits: ap = 30, w1 = 6988.562, w2 = 6841.122, dw = -0.08936, nw = 1651
120903.0012.ec.fits: ap = 31, w1 = 6904.371, w2 =  6758.71, dw = -0.08828, nw = 1651
120903.0012.ec.fits: ap = 32, w1 = 6822.185, w2 =  6678.26, dw = -0.08723, nw = 1651
120903.0012.ec.fits: ap = 33, w1 = 6741.933, w2 = 6599.703, dw =  -0.0862, nw = 1651
120903.0012.ec.fits: ap = 34, w1 = 6663.547, w2 = 6522.973, dw =  -0.0852, nw = 1651
120903.0012.ec.fits: ap = 35, w1 = 6586.964, w2 = 6448.007, dw = -0.08422, nw = 1651
120903.0012.ec.fits: ap = 36, w1 =  6512.12, w2 = 6374.745, dw = -0.08326, nw = 1651
120903.0012.ec.fits: ap = 37, w1 = 6438.959, w2 = 6303.129, dw = -0.08232, nw = 1651
120903.0012.ec.fits: ap = 38, w1 = 6367.424, w2 = 6233.105, dw = -0.08141, nw = 1651
120903.0012.ec.fits: ap = 39, w1 =  6297.46, w2 = 6164.619, dw = -0.08051, nw = 1651
120903.0012.ec.fits: ap = 40, w1 = 6229.018, w2 = 6097.623, dw = -0.07963, nw = 1651
120903.0012.ec.fits: ap = 41, w1 = 6162.048, w2 = 6032.067, dw = -0.07878, nw = 1651
120903.0012.ec.fits: ap = 42, w1 = 6096.503, w2 = 5967.907, dw = -0.07794, nw = 1651
120903.0012.ec.fits: ap = 43, w1 = 6032.337, w2 = 5905.097, dw = -0.07712, nw = 1651
120903.0012.ec.fits: ap = 44, w1 = 5969.508, w2 = 5843.596, dw = -0.07631, nw = 1651
120903.0012.ec.fits: ap = 45, w1 = 5907.975, w2 = 5783.362, dw = -0.07552, nw = 1651
120903.0012.ec.fits: ap = 46, w1 = 5847.698, w2 = 5724.359, dw = -0.07475, nw = 1651
120903.0012.ec.fits: ap = 47, w1 = 5788.639, w2 = 5666.547, dw = -0.07399, nw = 1651
120903.0012.ec.fits: ap = 48, w1 =  5730.76, w2 = 5609.892, dw = -0.07325, nw = 1651
120903.0012.ec.fits: ap = 49, w1 = 5674.028, w2 = 5554.358, dw = -0.07253, nw = 1651
120903.0012.ec.fits: ap = 50, w1 = 5618.408, w2 = 5499.914, dw = -0.07181, nw = 1651
120903.0012.ec.fits: ap = 51, w1 = 5563.869, w2 = 5446.527, dw = -0.07112, nw = 1651
120903.0012.ec.fits: ap = 52, w1 = 5510.378, w2 = 5394.167, dw = -0.07043, nw = 1651
120903.0012.ec.fits: ap = 53, w1 = 5457.906, w2 = 5342.804, dw = -0.06976, nw = 1651
120903.0012.ec.fits: ap = 54, w1 = 5406.425, w2 =  5292.41, dw =  -0.0691, nw = 1651
120903.0012.ec.fits: ap = 55, w1 = 5355.906, w2 = 5242.958, dw = -0.06845, nw = 1651
120903.0012.ec.fits: ap = 56, w1 = 5306.322, w2 = 5194.422, dw = -0.06782, nw = 1651
120903.0012.ec.fits: ap = 57, w1 = 5257.648, w2 = 5146.777, dw = -0.06719, nw = 1651
120903.0012.ec.fits: ap = 58, w1 = 5209.859, w2 = 5099.998, dw = -0.06658, nw = 1651
120903.0012.ec.fits: ap = 59, w1 = 5162.932, w2 = 5054.062, dw = -0.06598, nw = 1651
120903.0012.ec.fits: ap = 60, w1 = 5116.842, w2 = 5008.947, dw = -0.06539, nw = 1651
120903.0012.ec.fits: ap = 61, w1 = 5071.569, w2 =  4964.63, dw = -0.06481, nw = 1651
120903.0012.ec.fits: ap = 62, w1 = 5027.089, w2 = 4921.091, dw = -0.06424, nw = 1651
120903.0012.ec.fits: ap = 63, w1 = 4983.384, w2 = 4878.309, dw = -0.06368, nw = 1651
120903.0012.ec.fits: ap = 64, w1 = 4940.432, w2 = 4836.264, dw = -0.06313, nw = 1651
120903.0012.ec.fits: ap = 65, w1 = 4898.214, w2 = 4794.939, dw = -0.06259, nw = 1651
120903.0012.ec.fits: ap = 66, w1 = 4856.712, w2 = 4754.314, dw = -0.06206, nw = 1651
120903.0012.ec.fits: ap = 67, w1 = 4815.908, w2 = 4714.372, dw = -0.06154, nw = 1651
120903.0012.ec.fits: ap = 68, w1 = 4775.784, w2 = 4675.095, dw = -0.06102, nw = 1651
120903.0012.ec.fits: ap = 69, w1 = 4736.323, w2 = 4636.468, dw = -0.06052, nw = 1651
120903.0012.ec.fits: ap = 70, w1 = 4697.509, w2 = 4598.474, dw = -0.06002, nw = 1651
120903.0012.ec.fits: ap = 71, w1 = 4659.326, w2 = 4561.098, dw = -0.05953, nw = 1651
120903.0012.ec.fits: ap = 72, w1 =  4621.76, w2 = 4524.325, dw = -0.05905, nw = 1651
120903.0012.ec.fits: ap = 73, w1 = 4584.795, w2 =  4488.14, dw = -0.05858, nw = 1651
120903.0012.ec.fits: ap = 74, w1 = 4548.416, w2 =  4452.53, dw = -0.05811, nw = 1651
120903.0012.ec.fits: ap = 75, w1 = 4512.611, w2 = 4417.481, dw = -0.05765, nw = 1651
120903.0012.ec.fits: ap = 76, w1 = 4477.365, w2 = 4382.979, dw =  -0.0572, nw = 1651
120903.0012.ec.fits: ap = 77, w1 = 4442.666, w2 = 4349.012, dw = -0.05676, nw = 1651
120903.0012.ec.fits: ap = 78, w1 = 4408.501, w2 = 4315.568, dw = -0.05632, nw = 1651
120903.0012.ec.fits: ap = 79, w1 = 4374.857, w2 = 4282.635, dw = -0.05589, nw = 1651
120903.0012.ec.fits: ap = 80, w1 = 4341.724, w2 =   4250.2, dw = -0.05547, nw = 1651
120903.0012.ec.fits: ap = 81, w1 = 4309.089, w2 = 4218.253, dw = -0.05505, nw = 1651
120903.0012.ec.fits: ap = 82, w1 = 4276.941, w2 = 4186.784, dw = -0.05464, nw = 1651
120903.0012.ec.fits: ap = 83, w1 =  4245.27, w2 =  4155.78, dw = -0.05424, nw = 1651
120903.0012.ec.fits: ap = 84, w1 = 4214.064, w2 = 4125.232, dw = -0.05384, nw = 1651
120903.0012.ec.fits: ap = 85, w1 = 4183.315, w2 = 4095.131, dw = -0.05344, nw = 1651
120903.0012.ec.fits: ap = 86, w1 = 4153.011, w2 = 4065.465, dw = -0.05306, nw = 1651
120903.0012.ec.fits: ap = 87, w1 = 4123.143, w2 = 4036.227, dw = -0.05268, nw = 1651
120903.0012.ec.fits: ap = 88, w1 = 4093.703, w2 = 4007.406, dw =  -0.0523, nw = 1651
120903.0012.ec.fits: ap = 89, w1 =  4064.68, w2 = 3978.994, dw = -0.05193, nw = 1651
120903.0012.ec.fits: ap = 90, w1 = 4036.066, w2 = 3950.982, dw = -0.05157, nw = 1651
120903.0012.ec.fits: ap = 91, w1 = 4007.853, w2 = 3923.362, dw = -0.05121, nw = 1651
120903.0012.ec.fits: ap = 92, w1 = 3980.031, w2 = 3896.125, dw = -0.05085, nw = 1651
120903.0012.ec.fits: ap = 93, w1 = 3952.594, w2 = 3869.264, dw =  -0.0505, nw = 1651
120903.0012.ec.fits: ap = 94, w1 = 3925.533, w2 = 3842.771, dw = -0.05016, nw = 1651
120903.0012.ec.fits: ap = 95, w1 =  3898.84, w2 = 3816.639, dw = -0.04982, nw = 1651
120903.0012.ec.fits: ap = 96, w1 = 3872.508, w2 =  3790.86, dw = -0.04948, nw = 1651
120903.0012.ec.fits: ap = 97, w1 =  3846.53, w2 = 3765.426, dw = -0.04915, nw = 1651
120903.0012.ec.fits: ap = 98, w1 = 3820.898, w2 = 3740.332, dw = -0.04883, nw = 1651
120903.0012.ec.fits: ap = 99, w1 = 3795.606, w2 =  3715.57, dw = -0.04851, nw = 1651
120903.0012.ec.fits: ap = 100, w1 = 3770.648, w2 = 3691.134, dw = -0.04819, nw = 1651
120903.0012.ec.fits: ap = 101, w1 = 3746.016, w2 = 3667.017, dw = -0.04788, nw = 1651
120903.0012.ec.fits: ap = 102, w1 = 3721.704, w2 = 3643.213, dw = -0.04757, nw = 1651
120903.0012.ec.fits: ap = 103, w1 = 3697.706, w2 = 3619.717, dw = -0.04727, nw = 1651
120903.0012.ec.fits: ap = 104, w1 = 3674.015, w2 = 3596.521, dw = -0.04697, nw = 1651
120903.0012.ec.fits: ap = 105, w1 = 3650.627, w2 = 3573.621, dw = -0.04667, nw = 1651
120903.0012.ec.fits: ap = 106, w1 = 3627.536, w2 = 3551.011, dw = -0.04638, nw = 1651
120903.0012.ec.fits: ap = 107, w1 = 3604.735, w2 = 3528.685, dw = -0.04609, nw = 1651
120903.0012.ec.fits: ap = 108, w1 = 3582.219, w2 = 3506.638, dw = -0.04581, nw = 1651
120903.0012.ec.fits: ap = 109, w1 = 3559.984, w2 = 3484.865, dw = -0.04553, nw = 1651
120903.0012.ec.fits: ap = 110, w1 = 3538.023, w2 =  3463.36, dw = -0.04525, nw = 1651
120903.0012.ec.fits: ap = 111, w1 = 3516.332, w2 =  3442.12, dw = -0.04498, nw = 1651
120903.0012.ec.fits: ap = 112, w1 = 3494.906, w2 = 3421.138, dw = -0.04471, nw = 1651
120903.0012.ec.fits: ap = 113, w1 =  3473.74, w2 =  3400.41, dw = -0.04444, nw = 1651
120903.0012.ec.fits: ap = 114, w1 =  3452.83, w2 = 3379.932, dw = -0.04418, nw = 1651
120903.0012.ec.fits: ap = 115, w1 =  3432.17, w2 = 3359.699, dw = -0.04392, nw = 1651
120903.0013.ec.fits: REFSPEC1 = '120903.0004.ec 1.'
120903.0013.ec.fits: ap = 1, w1 =  10812.1, w2 = 10583.85, dw = -0.13833, nw = 1651
120903.0013.ec.fits: ap = 2, w1 = 10611.89, w2 = 10387.87, dw = -0.13577, nw = 1651
120903.0013.ec.fits: ap = 3, w1 = 10418.96, w2 = 10199.02, dw = -0.13329, nw = 1651
120903.0013.ec.fits: ap = 4, w1 = 10232.92, w2 = 10016.92, dw = -0.13091, nw = 1651
120903.0013.ec.fits: ap = 5, w1 =  10053.4, w2 = 9841.201, dw = -0.12861, nw = 1651
120903.0013.ec.fits: ap = 6, w1 = 9880.081, w2 = 9671.543, dw = -0.12639, nw = 1651
120903.0013.ec.fits: ap = 7, w1 = 9712.634, w2 = 9507.636, dw = -0.12424, nw = 1651
120903.0013.ec.fits: ap = 8, w1 = 9550.768, w2 = 9349.193, dw = -0.12217, nw = 1651
120903.0013.ec.fits: ap = 9, w1 =  9394.21, w2 = 9195.944, dw = -0.12016, nw = 1651
120903.0013.ec.fits: ap = 10, w1 = 9242.702, w2 = 9047.638, dw = -0.11822, nw = 1651
120903.0013.ec.fits: ap = 11, w1 = 9096.003, w2 =  8904.04, dw = -0.11634, nw = 1651
120903.0013.ec.fits: ap = 12, w1 = 8953.889, w2 =  8764.93, dw = -0.11452, nw = 1651
120903.0013.ec.fits: ap = 13, w1 = 8816.148, w2 =   8630.1, dw = -0.11276, nw = 1651
120903.0013.ec.fits: ap = 14, w1 = 8682.581, w2 = 8499.355, dw = -0.11105, nw = 1651
120903.0013.ec.fits: ap = 15, w1 = 8553.001, w2 = 8372.513, dw = -0.10939, nw = 1651
120903.0013.ec.fits: ap = 16, w1 = 8427.232, w2 = 8249.402, dw = -0.10778, nw = 1651
120903.0013.ec.fits: ap = 17, w1 = 8305.109, w2 = 8129.859, dw = -0.10621, nw = 1651
120903.0013.ec.fits: ap = 18, w1 = 8186.475, w2 = 8013.731, dw = -0.10469, nw = 1651
120903.0013.ec.fits: ap = 19, w1 = 8071.182, w2 = 7900.875, dw = -0.10322, nw = 1651
120903.0013.ec.fits: ap = 20, w1 = 7959.093, w2 = 7791.153, dw = -0.10178, nw = 1651
120903.0013.ec.fits: ap = 21, w1 = 7850.074, w2 = 7684.437, dw = -0.10039, nw = 1651
120903.0013.ec.fits: ap = 22, w1 = 7744.002, w2 = 7580.606, dw = -0.09903, nw = 1651
120903.0013.ec.fits: ap = 23, w1 = 7640.758, w2 = 7479.543, dw = -0.09771, nw = 1651
120903.0013.ec.fits: ap = 24, w1 = 7540.232, w2 =  7381.14, dw = -0.09642, nw = 1651
120903.0013.ec.fits: ap = 25, w1 = 7442.316, w2 = 7285.293, dw = -0.09517, nw = 1651
120903.0013.ec.fits: ap = 26, w1 = 7346.911, w2 = 7191.903, dw = -0.09394, nw = 1651
120903.0013.ec.fits: ap = 27, w1 = 7253.922, w2 = 7100.878, dw = -0.09275, nw = 1651
120903.0013.ec.fits: ap = 28, w1 = 7163.257, w2 = 7012.128, dw = -0.09159, nw = 1651
120903.0013.ec.fits: ap = 29, w1 = 7074.831, w2 =  6925.57, dw = -0.09046, nw = 1651
120903.0013.ec.fits: ap = 30, w1 = 6988.562, w2 = 6841.122, dw = -0.08936, nw = 1651
120903.0013.ec.fits: ap = 31, w1 = 6904.371, w2 =  6758.71, dw = -0.08828, nw = 1651
120903.0013.ec.fits: ap = 32, w1 = 6822.185, w2 =  6678.26, dw = -0.08723, nw = 1651
120903.0013.ec.fits: ap = 33, w1 = 6741.933, w2 = 6599.703, dw =  -0.0862, nw = 1651
120903.0013.ec.fits: ap = 34, w1 = 6663.547, w2 = 6522.973, dw =  -0.0852, nw = 1651
120903.0013.ec.fits: ap = 35, w1 = 6586.964, w2 = 6448.007, dw = -0.08422, nw = 1651
120903.0013.ec.fits: ap = 36, w1 =  6512.12, w2 = 6374.745, dw = -0.08326, nw = 1651
120903.0013.ec.fits: ap = 37, w1 = 6438.959, w2 = 6303.129, dw = -0.08232, nw = 1651
120903.0013.ec.fits: ap = 38, w1 = 6367.424, w2 = 6233.105, dw = -0.08141, nw = 1651
120903.0013.ec.fits: ap = 39, w1 =  6297.46, w2 = 6164.619, dw = -0.08051, nw = 1651
120903.0013.ec.fits: ap = 40, w1 = 6229.018, w2 = 6097.623, dw = -0.07963, nw = 1651
120903.0013.ec.fits: ap = 41, w1 = 6162.048, w2 = 6032.067, dw = -0.07878, nw = 1651
120903.0013.ec.fits: ap = 42, w1 = 6096.503, w2 = 5967.907, dw = -0.07794, nw = 1651
120903.0013.ec.fits: ap = 43, w1 = 6032.337, w2 = 5905.097, dw = -0.07712, nw = 1651
120903.0013.ec.fits: ap = 44, w1 = 5969.508, w2 = 5843.596, dw = -0.07631, nw = 1651
120903.0013.ec.fits: ap = 45, w1 = 5907.975, w2 = 5783.362, dw = -0.07552, nw = 1651
120903.0013.ec.fits: ap = 46, w1 = 5847.698, w2 = 5724.359, dw = -0.07475, nw = 1651
120903.0013.ec.fits: ap = 47, w1 = 5788.639, w2 = 5666.547, dw = -0.07399, nw = 1651
120903.0013.ec.fits: ap = 48, w1 =  5730.76, w2 = 5609.892, dw = -0.07325, nw = 1651
120903.0013.ec.fits: ap = 49, w1 = 5674.028, w2 = 5554.358, dw = -0.07253, nw = 1651
120903.0013.ec.fits: ap = 50, w1 = 5618.408, w2 = 5499.914, dw = -0.07181, nw = 1651
120903.0013.ec.fits: ap = 51, w1 = 5563.869, w2 = 5446.527, dw = -0.07112, nw = 1651
120903.0013.ec.fits: ap = 52, w1 = 5510.378, w2 = 5394.167, dw = -0.07043, nw = 1651
120903.0013.ec.fits: ap = 53, w1 = 5457.906, w2 = 5342.804, dw = -0.06976, nw = 1651
120903.0013.ec.fits: ap = 54, w1 = 5406.425, w2 =  5292.41, dw =  -0.0691, nw = 1651
120903.0013.ec.fits: ap = 55, w1 = 5355.906, w2 = 5242.958, dw = -0.06845, nw = 1651
120903.0013.ec.fits: ap = 56, w1 = 5306.322, w2 = 5194.422, dw = -0.06782, nw = 1651
120903.0013.ec.fits: ap = 57, w1 = 5257.648, w2 = 5146.777, dw = -0.06719, nw = 1651
120903.0013.ec.fits: ap = 58, w1 = 5209.859, w2 = 5099.998, dw = -0.06658, nw = 1651
120903.0013.ec.fits: ap = 59, w1 = 5162.932, w2 = 5054.062, dw = -0.06598, nw = 1651
120903.0013.ec.fits: ap = 60, w1 = 5116.842, w2 = 5008.947, dw = -0.06539, nw = 1651
120903.0013.ec.fits: ap = 61, w1 = 5071.569, w2 =  4964.63, dw = -0.06481, nw = 1651
120903.0013.ec.fits: ap = 62, w1 = 5027.089, w2 = 4921.091, dw = -0.06424, nw = 1651
120903.0013.ec.fits: ap = 63, w1 = 4983.384, w2 = 4878.309, dw = -0.06368, nw = 1651
120903.0013.ec.fits: ap = 64, w1 = 4940.432, w2 = 4836.264, dw = -0.06313, nw = 1651
120903.0013.ec.fits: ap = 65, w1 = 4898.214, w2 = 4794.939, dw = -0.06259, nw = 1651
120903.0013.ec.fits: ap = 66, w1 = 4856.712, w2 = 4754.314, dw = -0.06206, nw = 1651
120903.0013.ec.fits: ap = 67, w1 = 4815.908, w2 = 4714.372, dw = -0.06154, nw = 1651
120903.0013.ec.fits: ap = 68, w1 = 4775.784, w2 = 4675.095, dw = -0.06102, nw = 1651
120903.0013.ec.fits: ap = 69, w1 = 4736.323, w2 = 4636.468, dw = -0.06052, nw = 1651
120903.0013.ec.fits: ap = 70, w1 = 4697.509, w2 = 4598.474, dw = -0.06002, nw = 1651
120903.0013.ec.fits: ap = 71, w1 = 4659.326, w2 = 4561.098, dw = -0.05953, nw = 1651
120903.0013.ec.fits: ap = 72, w1 =  4621.76, w2 = 4524.325, dw = -0.05905, nw = 1651
120903.0013.ec.fits: ap = 73, w1 = 4584.795, w2 =  4488.14, dw = -0.05858, nw = 1651
120903.0013.ec.fits: ap = 74, w1 = 4548.416, w2 =  4452.53, dw = -0.05811, nw = 1651
120903.0013.ec.fits: ap = 75, w1 = 4512.611, w2 = 4417.481, dw = -0.05765, nw = 1651
120903.0013.ec.fits: ap = 76, w1 = 4477.365, w2 = 4382.979, dw =  -0.0572, nw = 1651
120903.0013.ec.fits: ap = 77, w1 = 4442.666, w2 = 4349.012, dw = -0.05676, nw = 1651
120903.0013.ec.fits: ap = 78, w1 = 4408.501, w2 = 4315.568, dw = -0.05632, nw = 1651
120903.0013.ec.fits: ap = 79, w1 = 4374.857, w2 = 4282.635, dw = -0.05589, nw = 1651
120903.0013.ec.fits: ap = 80, w1 = 4341.724, w2 =   4250.2, dw = -0.05547, nw = 1651
120903.0013.ec.fits: ap = 81, w1 = 4309.089, w2 = 4218.253, dw = -0.05505, nw = 1651
120903.0013.ec.fits: ap = 82, w1 = 4276.941, w2 = 4186.784, dw = -0.05464, nw = 1651
120903.0013.ec.fits: ap = 83, w1 =  4245.27, w2 =  4155.78, dw = -0.05424, nw = 1651
120903.0013.ec.fits: ap = 84, w1 = 4214.064, w2 = 4125.232, dw = -0.05384, nw = 1651
120903.0013.ec.fits: ap = 85, w1 = 4183.315, w2 = 4095.131, dw = -0.05344, nw = 1651
120903.0013.ec.fits: ap = 86, w1 = 4153.011, w2 = 4065.465, dw = -0.05306, nw = 1651
120903.0013.ec.fits: ap = 87, w1 = 4123.143, w2 = 4036.227, dw = -0.05268, nw = 1651
120903.0013.ec.fits: ap = 88, w1 = 4093.703, w2 = 4007.406, dw =  -0.0523, nw = 1651
120903.0013.ec.fits: ap = 89, w1 =  4064.68, w2 = 3978.994, dw = -0.05193, nw = 1651
120903.0013.ec.fits: ap = 90, w1 = 4036.066, w2 = 3950.982, dw = -0.05157, nw = 1651
120903.0013.ec.fits: ap = 91, w1 = 4007.853, w2 = 3923.362, dw = -0.05121, nw = 1651
120903.0013.ec.fits: ap = 92, w1 = 3980.031, w2 = 3896.125, dw = -0.05085, nw = 1651
120903.0013.ec.fits: ap = 93, w1 = 3952.594, w2 = 3869.264, dw =  -0.0505, nw = 1651
120903.0013.ec.fits: ap = 94, w1 = 3925.533, w2 = 3842.771, dw = -0.05016, nw = 1651
120903.0013.ec.fits: ap = 95, w1 =  3898.84, w2 = 3816.639, dw = -0.04982, nw = 1651
120903.0013.ec.fits: ap = 96, w1 = 3872.508, w2 =  3790.86, dw = -0.04948, nw = 1651
120903.0013.ec.fits: ap = 97, w1 =  3846.53, w2 = 3765.426, dw = -0.04915, nw = 1651
120903.0013.ec.fits: ap = 98, w1 = 3820.898, w2 = 3740.332, dw = -0.04883, nw = 1651
120903.0013.ec.fits: ap = 99, w1 = 3795.606, w2 =  3715.57, dw = -0.04851, nw = 1651
120903.0013.ec.fits: ap = 100, w1 = 3770.648, w2 = 3691.134, dw = -0.04819, nw = 1651
120903.0013.ec.fits: ap = 101, w1 = 3746.016, w2 = 3667.017, dw = -0.04788, nw = 1651
120903.0013.ec.fits: ap = 102, w1 = 3721.704, w2 = 3643.213, dw = -0.04757, nw = 1651
120903.0013.ec.fits: ap = 103, w1 = 3697.706, w2 = 3619.717, dw = -0.04727, nw = 1651
120903.0013.ec.fits: ap = 104, w1 = 3674.015, w2 = 3596.521, dw = -0.04697, nw = 1651
120903.0013.ec.fits: ap = 105, w1 = 3650.627, w2 = 3573.621, dw = -0.04667, nw = 1651
120903.0013.ec.fits: ap = 106, w1 = 3627.536, w2 = 3551.011, dw = -0.04638, nw = 1651
120903.0013.ec.fits: ap = 107, w1 = 3604.735, w2 = 3528.685, dw = -0.04609, nw = 1651
120903.0013.ec.fits: ap = 108, w1 = 3582.219, w2 = 3506.638, dw = -0.04581, nw = 1651
120903.0013.ec.fits: ap = 109, w1 = 3559.984, w2 = 3484.865, dw = -0.04553, nw = 1651
120903.0013.ec.fits: ap = 110, w1 = 3538.023, w2 =  3463.36, dw = -0.04525, nw = 1651
120903.0013.ec.fits: ap = 111, w1 = 3516.332, w2 =  3442.12, dw = -0.04498, nw = 1651
120903.0013.ec.fits: ap = 112, w1 = 3494.906, w2 = 3421.138, dw = -0.04471, nw = 1651
120903.0013.ec.fits: ap = 113, w1 =  3473.74, w2 =  3400.41, dw = -0.04444, nw = 1651
120903.0013.ec.fits: ap = 114, w1 =  3452.83, w2 = 3379.932, dw = -0.04418, nw = 1651
120903.0013.ec.fits: ap = 115, w1 =  3432.17, w2 = 3359.699, dw = -0.04392, nw = 1651
120903.0014.ec.fits: REFSPEC1 = '120903.0004.ec 1.'
120903.0014.ec.fits: ap = 1, w1 =  10812.1, w2 = 10583.85, dw = -0.13833, nw = 1651
120903.0014.ec.fits: ap = 2, w1 = 10611.89, w2 = 10387.87, dw = -0.13577, nw = 1651
120903.0014.ec.fits: ap = 3, w1 = 10418.96, w2 = 10199.02, dw = -0.13329, nw = 1651
120903.0014.ec.fits: ap = 4, w1 = 10232.92, w2 = 10016.92, dw = -0.13091, nw = 1651
120903.0014.ec.fits: ap = 5, w1 =  10053.4, w2 = 9841.201, dw = -0.12861, nw = 1651
120903.0014.ec.fits: ap = 6, w1 = 9880.081, w2 = 9671.543, dw = -0.12639, nw = 1651
120903.0014.ec.fits: ap = 7, w1 = 9712.634, w2 = 9507.636, dw = -0.12424, nw = 1651
120903.0014.ec.fits: ap = 8, w1 = 9550.768, w2 = 9349.193, dw = -0.12217, nw = 1651
120903.0014.ec.fits: ap = 9, w1 =  9394.21, w2 = 9195.944, dw = -0.12016, nw = 1651
120903.0014.ec.fits: ap = 10, w1 = 9242.702, w2 = 9047.638, dw = -0.11822, nw = 1651
120903.0014.ec.fits: ap = 11, w1 = 9096.003, w2 =  8904.04, dw = -0.11634, nw = 1651
120903.0014.ec.fits: ap = 12, w1 = 8953.889, w2 =  8764.93, dw = -0.11452, nw = 1651
120903.0014.ec.fits: ap = 13, w1 = 8816.148, w2 =   8630.1, dw = -0.11276, nw = 1651
120903.0014.ec.fits: ap = 14, w1 = 8682.581, w2 = 8499.355, dw = -0.11105, nw = 1651
120903.0014.ec.fits: ap = 15, w1 = 8553.001, w2 = 8372.513, dw = -0.10939, nw = 1651
120903.0014.ec.fits: ap = 16, w1 = 8427.232, w2 = 8249.402, dw = -0.10778, nw = 1651
120903.0014.ec.fits: ap = 17, w1 = 8305.109, w2 = 8129.859, dw = -0.10621, nw = 1651
120903.0014.ec.fits: ap = 18, w1 = 8186.475, w2 = 8013.731, dw = -0.10469, nw = 1651
120903.0014.ec.fits: ap = 19, w1 = 8071.182, w2 = 7900.875, dw = -0.10322, nw = 1651
120903.0014.ec.fits: ap = 20, w1 = 7959.093, w2 = 7791.153, dw = -0.10178, nw = 1651
120903.0014.ec.fits: ap = 21, w1 = 7850.074, w2 = 7684.437, dw = -0.10039, nw = 1651
120903.0014.ec.fits: ap = 22, w1 = 7744.002, w2 = 7580.606, dw = -0.09903, nw = 1651
120903.0014.ec.fits: ap = 23, w1 = 7640.758, w2 = 7479.543, dw = -0.09771, nw = 1651
120903.0014.ec.fits: ap = 24, w1 = 7540.232, w2 =  7381.14, dw = -0.09642, nw = 1651
120903.0014.ec.fits: ap = 25, w1 = 7442.316, w2 = 7285.293, dw = -0.09517, nw = 1651
120903.0014.ec.fits: ap = 26, w1 = 7346.911, w2 = 7191.903, dw = -0.09394, nw = 1651
120903.0014.ec.fits: ap = 27, w1 = 7253.922, w2 = 7100.878, dw = -0.09275, nw = 1651
120903.0014.ec.fits: ap = 28, w1 = 7163.257, w2 = 7012.128, dw = -0.09159, nw = 1651
120903.0014.ec.fits: ap = 29, w1 = 7074.831, w2 =  6925.57, dw = -0.09046, nw = 1651
120903.0014.ec.fits: ap = 30, w1 = 6988.562, w2 = 6841.122, dw = -0.08936, nw = 1651
120903.0014.ec.fits: ap = 31, w1 = 6904.371, w2 =  6758.71, dw = -0.08828, nw = 1651
120903.0014.ec.fits: ap = 32, w1 = 6822.185, w2 =  6678.26, dw = -0.08723, nw = 1651
120903.0014.ec.fits: ap = 33, w1 = 6741.933, w2 = 6599.703, dw =  -0.0862, nw = 1651
120903.0014.ec.fits: ap = 34, w1 = 6663.547, w2 = 6522.973, dw =  -0.0852, nw = 1651
120903.0014.ec.fits: ap = 35, w1 = 6586.964, w2 = 6448.007, dw = -0.08422, nw = 1651
120903.0014.ec.fits: ap = 36, w1 =  6512.12, w2 = 6374.745, dw = -0.08326, nw = 1651
120903.0014.ec.fits: ap = 37, w1 = 6438.959, w2 = 6303.129, dw = -0.08232, nw = 1651
120903.0014.ec.fits: ap = 38, w1 = 6367.424, w2 = 6233.105, dw = -0.08141, nw = 1651
120903.0014.ec.fits: ap = 39, w1 =  6297.46, w2 = 6164.619, dw = -0.08051, nw = 1651
120903.0014.ec.fits: ap = 40, w1 = 6229.018, w2 = 6097.623, dw = -0.07963, nw = 1651
120903.0014.ec.fits: ap = 41, w1 = 6162.048, w2 = 6032.067, dw = -0.07878, nw = 1651
120903.0014.ec.fits: ap = 42, w1 = 6096.503, w2 = 5967.907, dw = -0.07794, nw = 1651
120903.0014.ec.fits: ap = 43, w1 = 6032.337, w2 = 5905.097, dw = -0.07712, nw = 1651
120903.0014.ec.fits: ap = 44, w1 = 5969.508, w2 = 5843.596, dw = -0.07631, nw = 1651
120903.0014.ec.fits: ap = 45, w1 = 5907.975, w2 = 5783.362, dw = -0.07552, nw = 1651
120903.0014.ec.fits: ap = 46, w1 = 5847.698, w2 = 5724.359, dw = -0.07475, nw = 1651
120903.0014.ec.fits: ap = 47, w1 = 5788.639, w2 = 5666.547, dw = -0.07399, nw = 1651
120903.0014.ec.fits: ap = 48, w1 =  5730.76, w2 = 5609.892, dw = -0.07325, nw = 1651
120903.0014.ec.fits: ap = 49, w1 = 5674.028, w2 = 5554.358, dw = -0.07253, nw = 1651
120903.0014.ec.fits: ap = 50, w1 = 5618.408, w2 = 5499.914, dw = -0.07181, nw = 1651
120903.0014.ec.fits: ap = 51, w1 = 5563.869, w2 = 5446.527, dw = -0.07112, nw = 1651
120903.0014.ec.fits: ap = 52, w1 = 5510.378, w2 = 5394.167, dw = -0.07043, nw = 1651
120903.0014.ec.fits: ap = 53, w1 = 5457.906, w2 = 5342.804, dw = -0.06976, nw = 1651
120903.0014.ec.fits: ap = 54, w1 = 5406.425, w2 =  5292.41, dw =  -0.0691, nw = 1651
120903.0014.ec.fits: ap = 55, w1 = 5355.906, w2 = 5242.958, dw = -0.06845, nw = 1651
120903.0014.ec.fits: ap = 56, w1 = 5306.322, w2 = 5194.422, dw = -0.06782, nw = 1651
120903.0014.ec.fits: ap = 57, w1 = 5257.648, w2 = 5146.777, dw = -0.06719, nw = 1651
120903.0014.ec.fits: ap = 58, w1 = 5209.859, w2 = 5099.998, dw = -0.06658, nw = 1651
120903.0014.ec.fits: ap = 59, w1 = 5162.932, w2 = 5054.062, dw = -0.06598, nw = 1651
120903.0014.ec.fits: ap = 60, w1 = 5116.842, w2 = 5008.947, dw = -0.06539, nw = 1651
120903.0014.ec.fits: ap = 61, w1 = 5071.569, w2 =  4964.63, dw = -0.06481, nw = 1651
120903.0014.ec.fits: ap = 62, w1 = 5027.089, w2 = 4921.091, dw = -0.06424, nw = 1651
120903.0014.ec.fits: ap = 63, w1 = 4983.384, w2 = 4878.309, dw = -0.06368, nw = 1651
120903.0014.ec.fits: ap = 64, w1 = 4940.432, w2 = 4836.264, dw = -0.06313, nw = 1651
120903.0014.ec.fits: ap = 65, w1 = 4898.214, w2 = 4794.939, dw = -0.06259, nw = 1651
120903.0014.ec.fits: ap = 66, w1 = 4856.712, w2 = 4754.314, dw = -0.06206, nw = 1651
120903.0014.ec.fits: ap = 67, w1 = 4815.908, w2 = 4714.372, dw = -0.06154, nw = 1651
120903.0014.ec.fits: ap = 68, w1 = 4775.784, w2 = 4675.095, dw = -0.06102, nw = 1651
120903.0014.ec.fits: ap = 69, w1 = 4736.323, w2 = 4636.468, dw = -0.06052, nw = 1651
120903.0014.ec.fits: ap = 70, w1 = 4697.509, w2 = 4598.474, dw = -0.06002, nw = 1651
120903.0014.ec.fits: ap = 71, w1 = 4659.326, w2 = 4561.098, dw = -0.05953, nw = 1651
120903.0014.ec.fits: ap = 72, w1 =  4621.76, w2 = 4524.325, dw = -0.05905, nw = 1651
120903.0014.ec.fits: ap = 73, w1 = 4584.795, w2 =  4488.14, dw = -0.05858, nw = 1651
120903.0014.ec.fits: ap = 74, w1 = 4548.416, w2 =  4452.53, dw = -0.05811, nw = 1651
120903.0014.ec.fits: ap = 75, w1 = 4512.611, w2 = 4417.481, dw = -0.05765, nw = 1651
120903.0014.ec.fits: ap = 76, w1 = 4477.365, w2 = 4382.979, dw =  -0.0572, nw = 1651
120903.0014.ec.fits: ap = 77, w1 = 4442.666, w2 = 4349.012, dw = -0.05676, nw = 1651
120903.0014.ec.fits: ap = 78, w1 = 4408.501, w2 = 4315.568, dw = -0.05632, nw = 1651
120903.0014.ec.fits: ap = 79, w1 = 4374.857, w2 = 4282.635, dw = -0.05589, nw = 1651
120903.0014.ec.fits: ap = 80, w1 = 4341.724, w2 =   4250.2, dw = -0.05547, nw = 1651
120903.0014.ec.fits: ap = 81, w1 = 4309.089, w2 = 4218.253, dw = -0.05505, nw = 1651
120903.0014.ec.fits: ap = 82, w1 = 4276.941, w2 = 4186.784, dw = -0.05464, nw = 1651
120903.0014.ec.fits: ap = 83, w1 =  4245.27, w2 =  4155.78, dw = -0.05424, nw = 1651
120903.0014.ec.fits: ap = 84, w1 = 4214.064, w2 = 4125.232, dw = -0.05384, nw = 1651
120903.0014.ec.fits: ap = 85, w1 = 4183.315, w2 = 4095.131, dw = -0.05344, nw = 1651
120903.0014.ec.fits: ap = 86, w1 = 4153.011, w2 = 4065.465, dw = -0.05306, nw = 1651
120903.0014.ec.fits: ap = 87, w1 = 4123.143, w2 = 4036.227, dw = -0.05268, nw = 1651
120903.0014.ec.fits: ap = 88, w1 = 4093.703, w2 = 4007.406, dw =  -0.0523, nw = 1651
120903.0014.ec.fits: ap = 89, w1 =  4064.68, w2 = 3978.994, dw = -0.05193, nw = 1651
120903.0014.ec.fits: ap = 90, w1 = 4036.066, w2 = 3950.982, dw = -0.05157, nw = 1651
120903.0014.ec.fits: ap = 91, w1 = 4007.853, w2 = 3923.362, dw = -0.05121, nw = 1651
120903.0014.ec.fits: ap = 92, w1 = 3980.031, w2 = 3896.125, dw = -0.05085, nw = 1651
120903.0014.ec.fits: ap = 93, w1 = 3952.594, w2 = 3869.264, dw =  -0.0505, nw = 1651
120903.0014.ec.fits: ap = 94, w1 = 3925.533, w2 = 3842.771, dw = -0.05016, nw = 1651
120903.0014.ec.fits: ap = 95, w1 =  3898.84, w2 = 3816.639, dw = -0.04982, nw = 1651
120903.0014.ec.fits: ap = 96, w1 = 3872.508, w2 =  3790.86, dw = -0.04948, nw = 1651
120903.0014.ec.fits: ap = 97, w1 =  3846.53, w2 = 3765.426, dw = -0.04915, nw = 1651
120903.0014.ec.fits: ap = 98, w1 = 3820.898, w2 = 3740.332, dw = -0.04883, nw = 1651
120903.0014.ec.fits: ap = 99, w1 = 3795.606, w2 =  3715.57, dw = -0.04851, nw = 1651
120903.0014.ec.fits: ap = 100, w1 = 3770.648, w2 = 3691.134, dw = -0.04819, nw = 1651
120903.0014.ec.fits: ap = 101, w1 = 3746.016, w2 = 3667.017, dw = -0.04788, nw = 1651
120903.0014.ec.fits: ap = 102, w1 = 3721.704, w2 = 3643.213, dw = -0.04757, nw = 1651
120903.0014.ec.fits: ap = 103, w1 = 3697.706, w2 = 3619.717, dw = -0.04727, nw = 1651
120903.0014.ec.fits: ap = 104, w1 = 3674.015, w2 = 3596.521, dw = -0.04697, nw = 1651
120903.0014.ec.fits: ap = 105, w1 = 3650.627, w2 = 3573.621, dw = -0.04667, nw = 1651
120903.0014.ec.fits: ap = 106, w1 = 3627.536, w2 = 3551.011, dw = -0.04638, nw = 1651
120903.0014.ec.fits: ap = 107, w1 = 3604.735, w2 = 3528.685, dw = -0.04609, nw = 1651
120903.0014.ec.fits: ap = 108, w1 = 3582.219, w2 = 3506.638, dw = -0.04581, nw = 1651
120903.0014.ec.fits: ap = 109, w1 = 3559.984, w2 = 3484.865, dw = -0.04553, nw = 1651
120903.0014.ec.fits: ap = 110, w1 = 3538.023, w2 =  3463.36, dw = -0.04525, nw = 1651
120903.0014.ec.fits: ap = 111, w1 = 3516.332, w2 =  3442.12, dw = -0.04498, nw = 1651
120903.0014.ec.fits: ap = 112, w1 = 3494.906, w2 = 3421.138, dw = -0.04471, nw = 1651
120903.0014.ec.fits: ap = 113, w1 =  3473.74, w2 =  3400.41, dw = -0.04444, nw = 1651
120903.0014.ec.fits: ap = 114, w1 =  3452.83, w2 = 3379.932, dw = -0.04418, nw = 1651
120903.0014.ec.fits: ap = 115, w1 =  3432.17, w2 = 3359.699, dw = -0.04392, nw = 1651
120903.0015.ec.fits: REFSPEC1 = '120903.0004.ec 1.'
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120903.0015.ec.fits: ap = 2, w1 = 10611.89, w2 = 10387.87, dw = -0.13577, nw = 1651
120903.0015.ec.fits: ap = 3, w1 = 10418.96, w2 = 10199.02, dw = -0.13329, nw = 1651
120903.0015.ec.fits: ap = 4, w1 = 10232.92, w2 = 10016.92, dw = -0.13091, nw = 1651
120903.0015.ec.fits: ap = 5, w1 =  10053.4, w2 = 9841.201, dw = -0.12861, nw = 1651
120903.0015.ec.fits: ap = 6, w1 = 9880.081, w2 = 9671.543, dw = -0.12639, nw = 1651
120903.0015.ec.fits: ap = 7, w1 = 9712.634, w2 = 9507.636, dw = -0.12424, nw = 1651
120903.0015.ec.fits: ap = 8, w1 = 9550.768, w2 = 9349.193, dw = -0.12217, nw = 1651
120903.0015.ec.fits: ap = 9, w1 =  9394.21, w2 = 9195.944, dw = -0.12016, nw = 1651
120903.0015.ec.fits: ap = 10, w1 = 9242.702, w2 = 9047.638, dw = -0.11822, nw = 1651
120903.0015.ec.fits: ap = 11, w1 = 9096.003, w2 =  8904.04, dw = -0.11634, nw = 1651
120903.0015.ec.fits: ap = 12, w1 = 8953.889, w2 =  8764.93, dw = -0.11452, nw = 1651
120903.0015.ec.fits: ap = 13, w1 = 8816.148, w2 =   8630.1, dw = -0.11276, nw = 1651
120903.0015.ec.fits: ap = 14, w1 = 8682.581, w2 = 8499.355, dw = -0.11105, nw = 1651
120903.0015.ec.fits: ap = 15, w1 = 8553.001, w2 = 8372.513, dw = -0.10939, nw = 1651
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120903.0015.ec.fits: ap = 17, w1 = 8305.109, w2 = 8129.859, dw = -0.10621, nw = 1651
120903.0015.ec.fits: ap = 18, w1 = 8186.475, w2 = 8013.731, dw = -0.10469, nw = 1651
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120903.0015.ec.fits: ap = 20, w1 = 7959.093, w2 = 7791.153, dw = -0.10178, nw = 1651
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120903.0015.ec.fits: ap = 22, w1 = 7744.002, w2 = 7580.606, dw = -0.09903, nw = 1651
120903.0015.ec.fits: ap = 23, w1 = 7640.758, w2 = 7479.543, dw = -0.09771, nw = 1651
120903.0015.ec.fits: ap = 24, w1 = 7540.232, w2 =  7381.14, dw = -0.09642, nw = 1651
120903.0015.ec.fits: ap = 25, w1 = 7442.316, w2 = 7285.293, dw = -0.09517, nw = 1651
120903.0015.ec.fits: ap = 26, w1 = 7346.911, w2 = 7191.903, dw = -0.09394, nw = 1651
120903.0015.ec.fits: ap = 27, w1 = 7253.922, w2 = 7100.878, dw = -0.09275, nw = 1651
120903.0015.ec.fits: ap = 28, w1 = 7163.257, w2 = 7012.128, dw = -0.09159, nw = 1651
120903.0015.ec.fits: ap = 29, w1 = 7074.831, w2 =  6925.57, dw = -0.09046, nw = 1651
120903.0015.ec.fits: ap = 30, w1 = 6988.562, w2 = 6841.122, dw = -0.08936, nw = 1651
120903.0015.ec.fits: ap = 31, w1 = 6904.371, w2 =  6758.71, dw = -0.08828, nw = 1651
120903.0015.ec.fits: ap = 32, w1 = 6822.185, w2 =  6678.26, dw = -0.08723, nw = 1651
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120903.0015.ec.fits: ap = 34, w1 = 6663.547, w2 = 6522.973, dw =  -0.0852, nw = 1651
120903.0015.ec.fits: ap = 35, w1 = 6586.964, w2 = 6448.007, dw = -0.08422, nw = 1651
120903.0015.ec.fits: ap = 36, w1 =  6512.12, w2 = 6374.745, dw = -0.08326, nw = 1651
120903.0015.ec.fits: ap = 37, w1 = 6438.959, w2 = 6303.129, dw = -0.08232, nw = 1651
120903.0015.ec.fits: ap = 38, w1 = 6367.424, w2 = 6233.105, dw = -0.08141, nw = 1651
120903.0015.ec.fits: ap = 39, w1 =  6297.46, w2 = 6164.619, dw = -0.08051, nw = 1651
120903.0015.ec.fits: ap = 40, w1 = 6229.018, w2 = 6097.623, dw = -0.07963, nw = 1651
120903.0015.ec.fits: ap = 41, w1 = 6162.048, w2 = 6032.067, dw = -0.07878, nw = 1651
120903.0015.ec.fits: ap = 42, w1 = 6096.503, w2 = 5967.907, dw = -0.07794, nw = 1651
120903.0015.ec.fits: ap = 43, w1 = 6032.337, w2 = 5905.097, dw = -0.07712, nw = 1651
120903.0015.ec.fits: ap = 44, w1 = 5969.508, w2 = 5843.596, dw = -0.07631, nw = 1651
120903.0015.ec.fits: ap = 45, w1 = 5907.975, w2 = 5783.362, dw = -0.07552, nw = 1651
120903.0015.ec.fits: ap = 46, w1 = 5847.698, w2 = 5724.359, dw = -0.07475, nw = 1651
120903.0015.ec.fits: ap = 47, w1 = 5788.639, w2 = 5666.547, dw = -0.07399, nw = 1651
120903.0015.ec.fits: ap = 48, w1 =  5730.76, w2 = 5609.892, dw = -0.07325, nw = 1651
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120903.0015.ec.fits: ap = 50, w1 = 5618.408, w2 = 5499.914, dw = -0.07181, nw = 1651
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120903.0015.ec.fits: ap = 56, w1 = 5306.322, w2 = 5194.422, dw = -0.06782, nw = 1651
120903.0015.ec.fits: ap = 57, w1 = 5257.648, w2 = 5146.777, dw = -0.06719, nw = 1651
120903.0015.ec.fits: ap = 58, w1 = 5209.859, w2 = 5099.998, dw = -0.06658, nw = 1651
120903.0015.ec.fits: ap = 59, w1 = 5162.932, w2 = 5054.062, dw = -0.06598, nw = 1651
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120903.0015.ec.fits: ap = 66, w1 = 4856.712, w2 = 4754.314, dw = -0.06206, nw = 1651
120903.0015.ec.fits: ap = 67, w1 = 4815.908, w2 = 4714.372, dw = -0.06154, nw = 1651
120903.0015.ec.fits: ap = 68, w1 = 4775.784, w2 = 4675.095, dw = -0.06102, nw = 1651
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120903.0015.ec.fits: ap = 70, w1 = 4697.509, w2 = 4598.474, dw = -0.06002, nw = 1651
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120903.0015.ec.fits: ap = 75, w1 = 4512.611, w2 = 4417.481, dw = -0.05765, nw = 1651
120903.0015.ec.fits: ap = 76, w1 = 4477.365, w2 = 4382.979, dw =  -0.0572, nw = 1651
120903.0015.ec.fits: ap = 77, w1 = 4442.666, w2 = 4349.012, dw = -0.05676, nw = 1651
120903.0015.ec.fits: ap = 78, w1 = 4408.501, w2 = 4315.568, dw = -0.05632, nw = 1651
120903.0015.ec.fits: ap = 79, w1 = 4374.857, w2 = 4282.635, dw = -0.05589, nw = 1651
120903.0015.ec.fits: ap = 80, w1 = 4341.724, w2 =   4250.2, dw = -0.05547, nw = 1651
120903.0015.ec.fits: ap = 81, w1 = 4309.089, w2 = 4218.253, dw = -0.05505, nw = 1651
120903.0015.ec.fits: ap = 82, w1 = 4276.941, w2 = 4186.784, dw = -0.05464, nw = 1651
120903.0015.ec.fits: ap = 83, w1 =  4245.27, w2 =  4155.78, dw = -0.05424, nw = 1651
120903.0015.ec.fits: ap = 84, w1 = 4214.064, w2 = 4125.232, dw = -0.05384, nw = 1651
120903.0015.ec.fits: ap = 85, w1 = 4183.315, w2 = 4095.131, dw = -0.05344, nw = 1651
120903.0015.ec.fits: ap = 86, w1 = 4153.011, w2 = 4065.465, dw = -0.05306, nw = 1651
120903.0015.ec.fits: ap = 87, w1 = 4123.143, w2 = 4036.227, dw = -0.05268, nw = 1651
120903.0015.ec.fits: ap = 88, w1 = 4093.703, w2 = 4007.406, dw =  -0.0523, nw = 1651
120903.0015.ec.fits: ap = 89, w1 =  4064.68, w2 = 3978.994, dw = -0.05193, nw = 1651
120903.0015.ec.fits: ap = 90, w1 = 4036.066, w2 = 3950.982, dw = -0.05157, nw = 1651
120903.0015.ec.fits: ap = 91, w1 = 4007.853, w2 = 3923.362, dw = -0.05121, nw = 1651
120903.0015.ec.fits: ap = 92, w1 = 3980.031, w2 = 3896.125, dw = -0.05085, nw = 1651
120903.0015.ec.fits: ap = 93, w1 = 3952.594, w2 = 3869.264, dw =  -0.0505, nw = 1651
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120903.0015.ec.fits: ap = 95, w1 =  3898.84, w2 = 3816.639, dw = -0.04982, nw = 1651
120903.0015.ec.fits: ap = 96, w1 = 3872.508, w2 =  3790.86, dw = -0.04948, nw = 1651
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120903.0015.ec.fits: ap = 99, w1 = 3795.606, w2 =  3715.57, dw = -0.04851, nw = 1651
120903.0015.ec.fits: ap = 100, w1 = 3770.648, w2 = 3691.134, dw = -0.04819, nw = 1651
120903.0015.ec.fits: ap = 101, w1 = 3746.016, w2 = 3667.017, dw = -0.04788, nw = 1651
120903.0015.ec.fits: ap = 102, w1 = 3721.704, w2 = 3643.213, dw = -0.04757, nw = 1651
120903.0015.ec.fits: ap = 103, w1 = 3697.706, w2 = 3619.717, dw = -0.04727, nw = 1651
120903.0015.ec.fits: ap = 104, w1 = 3674.015, w2 = 3596.521, dw = -0.04697, nw = 1651
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120903.0015.ec.fits: ap = 110, w1 = 3538.023, w2 =  3463.36, dw = -0.04525, nw = 1651
120903.0015.ec.fits: ap = 111, w1 = 3516.332, w2 =  3442.12, dw = -0.04498, nw = 1651
120903.0015.ec.fits: ap = 112, w1 = 3494.906, w2 = 3421.138, dw = -0.04471, nw = 1651
120903.0015.ec.fits: ap = 113, w1 =  3473.74, w2 =  3400.41, dw = -0.04444, nw = 1651
120903.0015.ec.fits: ap = 114, w1 =  3452.83, w2 = 3379.932, dw = -0.04418, nw = 1651
120903.0015.ec.fits: ap = 115, w1 =  3432.17, w2 = 3359.699, dw = -0.04392, nw = 1651
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z120903.0001.ec.fits: ap = 1, w1 = 10812.16, w2 = 10583.92, dw = -0.13833, nw = 1651
z120903.0001.ec.fits: ap = 2, w1 = 10611.95, w2 = 10387.94, dw = -0.13576, nw = 1651
z120903.0001.ec.fits: ap = 3, w1 = 10419.01, w2 = 10199.08, dw = -0.13329, nw = 1651
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z120903.0001.ec.fits: ap = 17, w1 = 8305.113, w2 = 8129.866, dw = -0.10621, nw = 1651
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z120903.0001.ec.fits: ap = 27, w1 =  7253.92, w2 = 7100.884, dw = -0.09275, nw = 1651
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z120903.0001.ec.fits: ap = 31, w1 = 6904.369, w2 = 6758.718, dw = -0.08827, nw = 1651
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z120903.0001.ec.fits: ap = 34, w1 = 6663.545, w2 = 6522.982, dw = -0.08519, nw = 1651
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z120903.0001.ec.fits: ap = 46, w1 = 5847.698, w2 = 5724.367, dw = -0.07475, nw = 1651
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z120903.0001.ec.fits: ap = 57, w1 = 5257.647, w2 = 5146.779, dw = -0.06719, nw = 1651
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z120903.0001.ec.fits: ap = 66, w1 = 4856.708, w2 = 4754.312, dw = -0.06206, nw = 1651
z120903.0001.ec.fits: ap = 67, w1 = 4815.903, w2 = 4714.369, dw = -0.06154, nw = 1651
z120903.0001.ec.fits: ap = 68, w1 = 4775.778, w2 = 4675.092, dw = -0.06102, nw = 1651
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z120903.0001.ec.fits: ap = 70, w1 = 4697.502, w2 = 4598.471, dw = -0.06002, nw = 1651
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z120903.0001.ec.fits: ap = 72, w1 = 4621.751, w2 = 4524.323, dw = -0.05905, nw = 1651
z120903.0001.ec.fits: ap = 73, w1 = 4584.785, w2 = 4488.138, dw = -0.05857, nw = 1651
z120903.0001.ec.fits: ap = 74, w1 = 4548.406, w2 = 4452.528, dw = -0.05811, nw = 1651
z120903.0001.ec.fits: ap = 75, w1 =   4512.6, w2 = 4417.479, dw = -0.05765, nw = 1651
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z120903.0001.ec.fits: ap = 77, w1 = 4442.653, w2 = 4349.013, dw = -0.05675, nw = 1651
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z120903.0001.ec.fits: ap = 79, w1 = 4374.842, w2 = 4282.637, dw = -0.05588, nw = 1651
z120903.0001.ec.fits: ap = 80, w1 = 4341.708, w2 = 4250.204, dw = -0.05546, nw = 1651
z120903.0001.ec.fits: ap = 81, w1 = 4309.072, w2 = 4218.259, dw = -0.05504, nw = 1651
z120903.0001.ec.fits: ap = 82, w1 = 4276.923, w2 = 4186.791, dw = -0.05463, nw = 1651
z120903.0001.ec.fits: ap = 83, w1 =  4245.25, w2 = 4155.789, dw = -0.05422, nw = 1651
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z120903.0001.ec.fits: ap = 85, w1 = 4183.293, w2 = 4095.144, dw = -0.05342, nw = 1651
z120903.0001.ec.fits: ap = 86, w1 = 4152.988, w2 = 4065.481, dw = -0.05303, nw = 1651
z120903.0001.ec.fits: ap = 87, w1 = 4123.119, w2 = 4036.246, dw = -0.05265, nw = 1651
z120903.0001.ec.fits: ap = 88, w1 = 4093.677, w2 = 4007.428, dw = -0.05227, nw = 1651
z120903.0001.ec.fits: ap = 89, w1 = 4064.653, w2 = 3979.019, dw =  -0.0519, nw = 1651
z120903.0001.ec.fits: ap = 90, w1 = 4036.038, w2 = 3951.011, dw = -0.05153, nw = 1651
z120903.0001.ec.fits: ap = 91, w1 = 4007.823, w2 = 3923.395, dw = -0.05117, nw = 1651
z120903.0001.ec.fits: ap = 92, w1 =    3980., w2 = 3896.162, dw = -0.05081, nw = 1651
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z120903.0001.ec.fits: ap = 100, w1 = 3770.605, w2 = 3691.216, dw = -0.04811, nw = 1651
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z120903.0001.ec.fits: ap = 103, w1 = 3697.658, w2 = 3619.822, dw = -0.04717, nw = 1651
z120903.0001.ec.fits: ap = 104, w1 = 3673.967, w2 = 3596.635, dw = -0.04687, nw = 1651
z120903.0001.ec.fits: ap = 105, w1 = 3650.577, w2 = 3573.744, dw = -0.04657, nw = 1651
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z120903.0001.ec.fits: ap = 107, w1 = 3604.682, w2 = 3528.827, dw = -0.04597, nw = 1651
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z120903.0001.ec.fits: ap = 109, w1 = 3559.928, w2 = 3485.028, dw = -0.04539, nw = 1651
z120903.0001.ec.fits: ap = 110, w1 = 3537.965, w2 = 3463.535, dw = -0.04511, nw = 1651
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z120903.0001.ec.fits: ap = 112, w1 = 3494.845, w2 = 3421.337, dw = -0.04455, nw = 1651
z120903.0001.ec.fits: ap = 113, w1 = 3473.678, w2 = 3400.622, dw = -0.04428, nw = 1651
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z120903.0001.ec.fits: ap = 115, w1 = 3432.105, w2 = 3359.938, dw = -0.04374, nw = 1651
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z120903.0002.ec.fits: ap = 34, w1 = 6663.549, w2 = 6522.974, dw =  -0.0852, nw = 1651
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z120903.0002.ec.fits: ap = 42, w1 = 6096.503, w2 = 5967.907, dw = -0.07794, nw = 1651
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z120903.0002.ec.fits: ap = 52, w1 = 5510.379, w2 = 5394.167, dw = -0.07043, nw = 1651
z120903.0002.ec.fits: ap = 53, w1 = 5457.908, w2 = 5342.804, dw = -0.06976, nw = 1651
z120903.0002.ec.fits: ap = 54, w1 = 5406.426, w2 =  5292.41, dw =  -0.0691, nw = 1651
z120903.0002.ec.fits: ap = 55, w1 = 5355.907, w2 = 5242.958, dw = -0.06845, nw = 1651
z120903.0002.ec.fits: ap = 56, w1 = 5306.323, w2 = 5194.422, dw = -0.06782, nw = 1651
z120903.0002.ec.fits: ap = 57, w1 =  5257.65, w2 = 5146.777, dw =  -0.0672, nw = 1651
z120903.0002.ec.fits: ap = 58, w1 = 5209.861, w2 = 5099.998, dw = -0.06658, nw = 1651
z120903.0002.ec.fits: ap = 59, w1 = 5162.933, w2 = 5054.062, dw = -0.06598, nw = 1651
z120903.0002.ec.fits: ap = 60, w1 = 5116.844, w2 = 5008.946, dw = -0.06539, nw = 1651
z120903.0002.ec.fits: ap = 61, w1 =  5071.57, w2 = 4964.629, dw = -0.06481, nw = 1651
z120903.0002.ec.fits: ap = 62, w1 = 5027.091, w2 =  4921.09, dw = -0.06424, nw = 1651
z120903.0002.ec.fits: ap = 63, w1 = 4983.385, w2 = 4878.308, dw = -0.06368, nw = 1651
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z120903.0004.ec.fits: ap = 10, w1 = 9242.702, w2 = 9047.638, dw = -0.11822, nw = 1651
z120903.0004.ec.fits: ap = 11, w1 = 9096.003, w2 =  8904.04, dw = -0.11634, nw = 1651
z120903.0004.ec.fits: ap = 12, w1 = 8953.889, w2 =  8764.93, dw = -0.11452, nw = 1651
z120903.0004.ec.fits: ap = 13, w1 = 8816.148, w2 =   8630.1, dw = -0.11276, nw = 1651
z120903.0004.ec.fits: ap = 14, w1 = 8682.581, w2 = 8499.355, dw = -0.11105, nw = 1651
z120903.0004.ec.fits: ap = 15, w1 = 8553.001, w2 = 8372.513, dw = -0.10939, nw = 1651
z120903.0004.ec.fits: ap = 16, w1 = 8427.232, w2 = 8249.402, dw = -0.10778, nw = 1651
z120903.0004.ec.fits: ap = 17, w1 = 8305.109, w2 = 8129.859, dw = -0.10621, nw = 1651
z120903.0004.ec.fits: ap = 18, w1 = 8186.475, w2 = 8013.731, dw = -0.10469, nw = 1651
z120903.0004.ec.fits: ap = 19, w1 = 8071.182, w2 = 7900.875, dw = -0.10322, nw = 1651
z120903.0004.ec.fits: ap = 20, w1 = 7959.093, w2 = 7791.153, dw = -0.10178, nw = 1651
z120903.0004.ec.fits: ap = 21, w1 = 7850.074, w2 = 7684.437, dw = -0.10039, nw = 1651
z120903.0004.ec.fits: ap = 22, w1 = 7744.002, w2 = 7580.606, dw = -0.09903, nw = 1651
z120903.0004.ec.fits: ap = 23, w1 = 7640.758, w2 = 7479.543, dw = -0.09771, nw = 1651
z120903.0004.ec.fits: ap = 24, w1 = 7540.232, w2 =  7381.14, dw = -0.09642, nw = 1651
z120903.0004.ec.fits: ap = 25, w1 = 7442.316, w2 = 7285.293, dw = -0.09517, nw = 1651
z120903.0004.ec.fits: ap = 26, w1 = 7346.911, w2 = 7191.903, dw = -0.09394, nw = 1651
z120903.0004.ec.fits: ap = 27, w1 = 7253.922, w2 = 7100.878, dw = -0.09275, nw = 1651
z120903.0004.ec.fits: ap = 28, w1 = 7163.257, w2 = 7012.128, dw = -0.09159, nw = 1651
z120903.0004.ec.fits: ap = 29, w1 = 7074.831, w2 =  6925.57, dw = -0.09046, nw = 1651
z120903.0004.ec.fits: ap = 30, w1 = 6988.562, w2 = 6841.122, dw = -0.08936, nw = 1651
z120903.0004.ec.fits: ap = 31, w1 = 6904.371, w2 =  6758.71, dw = -0.08828, nw = 1651
z120903.0004.ec.fits: ap = 32, w1 = 6822.185, w2 =  6678.26, dw = -0.08723, nw = 1651
z120903.0004.ec.fits: ap = 33, w1 = 6741.933, w2 = 6599.703, dw =  -0.0862, nw = 1651
z120903.0004.ec.fits: ap = 34, w1 = 6663.547, w2 = 6522.973, dw =  -0.0852, nw = 1651
z120903.0004.ec.fits: ap = 35, w1 = 6586.964, w2 = 6448.007, dw = -0.08422, nw = 1651
z120903.0004.ec.fits: ap = 36, w1 =  6512.12, w2 = 6374.745, dw = -0.08326, nw = 1651
z120903.0004.ec.fits: ap = 37, w1 = 6438.959, w2 = 6303.129, dw = -0.08232, nw = 1651
z120903.0004.ec.fits: ap = 38, w1 = 6367.424, w2 = 6233.105, dw = -0.08141, nw = 1651
z120903.0004.ec.fits: ap = 39, w1 =  6297.46, w2 = 6164.619, dw = -0.08051, nw = 1651
z120903.0004.ec.fits: ap = 40, w1 = 6229.018, w2 = 6097.623, dw = -0.07963, nw = 1651
z120903.0004.ec.fits: ap = 41, w1 = 6162.048, w2 = 6032.067, dw = -0.07878, nw = 1651
z120903.0004.ec.fits: ap = 42, w1 = 6096.503, w2 = 5967.907, dw = -0.07794, nw = 1651
z120903.0004.ec.fits: ap = 43, w1 = 6032.337, w2 = 5905.097, dw = -0.07712, nw = 1651
z120903.0004.ec.fits: ap = 44, w1 = 5969.508, w2 = 5843.596, dw = -0.07631, nw = 1651
z120903.0004.ec.fits: ap = 45, w1 = 5907.975, w2 = 5783.362, dw = -0.07552, nw = 1651
z120903.0004.ec.fits: ap = 46, w1 = 5847.698, w2 = 5724.359, dw = -0.07475, nw = 1651
z120903.0004.ec.fits: ap = 47, w1 = 5788.639, w2 = 5666.547, dw = -0.07399, nw = 1651
z120903.0004.ec.fits: ap = 48, w1 =  5730.76, w2 = 5609.892, dw = -0.07325, nw = 1651
z120903.0004.ec.fits: ap = 49, w1 = 5674.028, w2 = 5554.358, dw = -0.07253, nw = 1651
z120903.0004.ec.fits: ap = 50, w1 = 5618.408, w2 = 5499.914, dw = -0.07181, nw = 1651
z120903.0004.ec.fits: ap = 51, w1 = 5563.869, w2 = 5446.527, dw = -0.07112, nw = 1651
z120903.0004.ec.fits: ap = 52, w1 = 5510.378, w2 = 5394.167, dw = -0.07043, nw = 1651
z120903.0004.ec.fits: ap = 53, w1 = 5457.906, w2 = 5342.804, dw = -0.06976, nw = 1651
z120903.0004.ec.fits: ap = 54, w1 = 5406.425, w2 =  5292.41, dw =  -0.0691, nw = 1651
z120903.0004.ec.fits: ap = 55, w1 = 5355.906, w2 = 5242.958, dw = -0.06845, nw = 1651
z120903.0004.ec.fits: ap = 56, w1 = 5306.322, w2 = 5194.422, dw = -0.06782, nw = 1651
z120903.0004.ec.fits: ap = 57, w1 = 5257.648, w2 = 5146.777, dw = -0.06719, nw = 1651
z120903.0004.ec.fits: ap = 58, w1 = 5209.859, w2 = 5099.998, dw = -0.06658, nw = 1651
z120903.0004.ec.fits: ap = 59, w1 = 5162.932, w2 = 5054.062, dw = -0.06598, nw = 1651
z120903.0004.ec.fits: ap = 60, w1 = 5116.842, w2 = 5008.947, dw = -0.06539, nw = 1651
z120903.0004.ec.fits: ap = 61, w1 = 5071.569, w2 =  4964.63, dw = -0.06481, nw = 1651
z120903.0004.ec.fits: ap = 62, w1 = 5027.089, w2 = 4921.091, dw = -0.06424, nw = 1651
z120903.0004.ec.fits: ap = 63, w1 = 4983.384, w2 = 4878.309, dw = -0.06368, nw = 1651
z120903.0004.ec.fits: ap = 64, w1 = 4940.432, w2 = 4836.264, dw = -0.06313, nw = 1651
z120903.0004.ec.fits: ap = 65, w1 = 4898.214, w2 = 4794.939, dw = -0.06259, nw = 1651
z120903.0004.ec.fits: ap = 66, w1 = 4856.712, w2 = 4754.314, dw = -0.06206, nw = 1651
z120903.0004.ec.fits: ap = 67, w1 = 4815.908, w2 = 4714.372, dw = -0.06154, nw = 1651
z120903.0004.ec.fits: ap = 68, w1 = 4775.784, w2 = 4675.095, dw = -0.06102, nw = 1651
z120903.0004.ec.fits: ap = 69, w1 = 4736.323, w2 = 4636.468, dw = -0.06052, nw = 1651
z120903.0004.ec.fits: ap = 70, w1 = 4697.509, w2 = 4598.474, dw = -0.06002, nw = 1651
z120903.0004.ec.fits: ap = 71, w1 = 4659.326, w2 = 4561.098, dw = -0.05953, nw = 1651
z120903.0004.ec.fits: ap = 72, w1 =  4621.76, w2 = 4524.325, dw = -0.05905, nw = 1651
z120903.0004.ec.fits: ap = 73, w1 = 4584.795, w2 =  4488.14, dw = -0.05858, nw = 1651
z120903.0004.ec.fits: ap = 74, w1 = 4548.416, w2 =  4452.53, dw = -0.05811, nw = 1651
z120903.0004.ec.fits: ap = 75, w1 = 4512.611, w2 = 4417.481, dw = -0.05765, nw = 1651
z120903.0004.ec.fits: ap = 76, w1 = 4477.365, w2 = 4382.979, dw =  -0.0572, nw = 1651
z120903.0004.ec.fits: ap = 77, w1 = 4442.666, w2 = 4349.012, dw = -0.05676, nw = 1651
z120903.0004.ec.fits: ap = 78, w1 = 4408.501, w2 = 4315.568, dw = -0.05632, nw = 1651
z120903.0004.ec.fits: ap = 79, w1 = 4374.857, w2 = 4282.635, dw = -0.05589, nw = 1651
z120903.0004.ec.fits: ap = 80, w1 = 4341.724, w2 =   4250.2, dw = -0.05547, nw = 1651
z120903.0004.ec.fits: ap = 81, w1 = 4309.089, w2 = 4218.253, dw = -0.05505, nw = 1651
z120903.0004.ec.fits: ap = 82, w1 = 4276.941, w2 = 4186.784, dw = -0.05464, nw = 1651
z120903.0004.ec.fits: ap = 83, w1 =  4245.27, w2 =  4155.78, dw = -0.05424, nw = 1651
z120903.0004.ec.fits: ap = 84, w1 = 4214.064, w2 = 4125.232, dw = -0.05384, nw = 1651
z120903.0004.ec.fits: ap = 85, w1 = 4183.315, w2 = 4095.131, dw = -0.05344, nw = 1651
z120903.0004.ec.fits: ap = 86, w1 = 4153.011, w2 = 4065.465, dw = -0.05306, nw = 1651
z120903.0004.ec.fits: ap = 87, w1 = 4123.143, w2 = 4036.227, dw = -0.05268, nw = 1651
z120903.0004.ec.fits: ap = 88, w1 = 4093.703, w2 = 4007.406, dw =  -0.0523, nw = 1651
z120903.0004.ec.fits: ap = 89, w1 =  4064.68, w2 = 3978.994, dw = -0.05193, nw = 1651
z120903.0004.ec.fits: ap = 90, w1 = 4036.066, w2 = 3950.982, dw = -0.05157, nw = 1651
z120903.0004.ec.fits: ap = 91, w1 = 4007.853, w2 = 3923.362, dw = -0.05121, nw = 1651
z120903.0004.ec.fits: ap = 92, w1 = 3980.031, w2 = 3896.125, dw = -0.05085, nw = 1651
z120903.0004.ec.fits: ap = 93, w1 = 3952.594, w2 = 3869.264, dw =  -0.0505, nw = 1651
z120903.0004.ec.fits: ap = 94, w1 = 3925.533, w2 = 3842.771, dw = -0.05016, nw = 1651
z120903.0004.ec.fits: ap = 95, w1 =  3898.84, w2 = 3816.639, dw = -0.04982, nw = 1651
z120903.0004.ec.fits: ap = 96, w1 = 3872.508, w2 =  3790.86, dw = -0.04948, nw = 1651
z120903.0004.ec.fits: ap = 97, w1 =  3846.53, w2 = 3765.426, dw = -0.04915, nw = 1651
z120903.0004.ec.fits: ap = 98, w1 = 3820.898, w2 = 3740.332, dw = -0.04883, nw = 1651
z120903.0004.ec.fits: ap = 99, w1 = 3795.606, w2 =  3715.57, dw = -0.04851, nw = 1651
z120903.0004.ec.fits: ap = 100, w1 = 3770.648, w2 = 3691.134, dw = -0.04819, nw = 1651
z120903.0004.ec.fits: ap = 101, w1 = 3746.016, w2 = 3667.017, dw = -0.04788, nw = 1651
z120903.0004.ec.fits: ap = 102, w1 = 3721.704, w2 = 3643.213, dw = -0.04757, nw = 1651
z120903.0004.ec.fits: ap = 103, w1 = 3697.706, w2 = 3619.717, dw = -0.04727, nw = 1651
z120903.0004.ec.fits: ap = 104, w1 = 3674.015, w2 = 3596.521, dw = -0.04697, nw = 1651
z120903.0004.ec.fits: ap = 105, w1 = 3650.627, w2 = 3573.621, dw = -0.04667, nw = 1651
z120903.0004.ec.fits: ap = 106, w1 = 3627.536, w2 = 3551.011, dw = -0.04638, nw = 1651
z120903.0004.ec.fits: ap = 107, w1 = 3604.735, w2 = 3528.685, dw = -0.04609, nw = 1651
z120903.0004.ec.fits: ap = 108, w1 = 3582.219, w2 = 3506.638, dw = -0.04581, nw = 1651
z120903.0004.ec.fits: ap = 109, w1 = 3559.984, w2 = 3484.865, dw = -0.04553, nw = 1651
z120903.0004.ec.fits: ap = 110, w1 = 3538.023, w2 =  3463.36, dw = -0.04525, nw = 1651
z120903.0004.ec.fits: ap = 111, w1 = 3516.332, w2 =  3442.12, dw = -0.04498, nw = 1651
z120903.0004.ec.fits: ap = 112, w1 = 3494.906, w2 = 3421.138, dw = -0.04471, nw = 1651
z120903.0004.ec.fits: ap = 113, w1 =  3473.74, w2 =  3400.41, dw = -0.04444, nw = 1651
z120903.0004.ec.fits: ap = 114, w1 =  3452.83, w2 = 3379.932, dw = -0.04418, nw = 1651
z120903.0004.ec.fits: ap = 115, w1 =  3432.17, w2 = 3359.699, dw = -0.04392, nw = 1651
Continuum fitting the spectra...
Singular solution
Singular solution
Singular solution
Singular solution
Singular solution
Singular solution
Singular solution
Singular solution
Combining spectra...

Dec 10 12:21: SCOMBINE
  combine = sum
  blank = 0.
                Images     Exp  Scale    Zero Weight
  120903.0008.ec.fits[  1] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[  2] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[  3] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[  4] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[  5] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[  6] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[  7] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[  8] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[  9] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 10] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 11] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 12] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 13] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 14] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 15] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 16] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 17] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 18] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 19] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 20] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 21] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 22] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 23] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 24] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 25] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 26] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 27] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 28] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 29] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 30] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 31] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 32] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 33] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 34] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 35] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 36] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 37] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 38] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 39] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 40] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 41] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 42] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 43] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 44] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 45] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 46] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 47] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 48] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 49] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 50] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 51] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 52] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 53] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 54] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 55] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 56] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 57] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 58] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 59] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 60] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 61] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 62] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 63] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 64] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 65] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 66] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 67] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 68] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 69] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 70] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 71] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 72] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 73] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 74] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 75] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 76] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 77] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 78] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 79] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 80] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 81] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 82] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 83] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 84] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 85] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 86] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 87] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 88] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 89] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 90] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 91] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 92] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 93] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 94] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 95] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 96] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 97] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 98] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[ 99] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[100] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[101] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[102] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[103] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[104] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[105] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[106] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[107] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[108] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[109] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[110] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[111] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[112] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[113] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[114] 1500.0  1.000      0.  0.009
  120903.0008.ec.fits[115] 1500.0  1.000      0.  0.009

  Output image = sum120903.0008.ec.fits, ncombine = 115, exptime = 172500.
  w1 = 3359.699, w2 = 10812.1, dw = 0.04392136, nw = 169677., dtype = 0

Dec 10 12:22: SCOMBINE
  combine = sum
  blank = 0.
                Images     Exp  Scale    Zero Weight
  120903.0009.ec.fits[  1] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[  2] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[  3] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[  4] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[  5] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[  6] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[  7] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[  8] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[  9] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 10] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 11] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 12] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 13] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 14] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 15] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 16] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 17] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 18] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 19] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 20] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 21] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 22] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 23] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 24] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 25] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 26] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 27] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 28] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 29] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 30] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 31] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 32] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 33] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 34] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 35] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 36] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 37] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 38] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 39] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 40] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 41] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 42] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 43] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 44] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 45] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 46] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 47] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 48] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 49] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 50] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 51] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 52] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 53] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 54] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 55] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 56] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 57] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 58] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 59] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 60] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 61] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 62] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 63] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 64] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 65] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 66] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 67] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 68] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 69] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 70] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 71] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 72] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 73] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 74] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 75] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 76] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 77] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 78] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 79] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 80] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 81] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 82] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 83] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 84] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 85] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 86] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 87] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 88] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 89] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 90] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 91] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 92] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 93] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 94] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 95] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 96] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 97] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 98] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[ 99] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[100] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[101] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[102] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[103] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[104] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[105] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[106] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[107] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[108] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[109] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[110] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[111] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[112] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[113] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[114] 1500.0  1.000      0.  0.009
  120903.0009.ec.fits[115] 1500.0  1.000      0.  0.009

  Output image = sum120903.0009.ec.fits, ncombine = 115, exptime = 172500.
  w1 = 3359.699, w2 = 10812.1, dw = 0.04392136, nw = 169677., dtype = 0

Dec 10 12:24: SCOMBINE
  combine = sum
  blank = 0.
                Images     Exp  Scale    Zero Weight
  120903.0010.ec.fits[  1]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[  2]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[  3]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[  4]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[  5]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[  6]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[  7]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[  8]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[  9]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 10]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 11]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 12]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 13]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 14]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 15]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 16]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 17]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 18]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 19]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 20]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 21]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 22]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 23]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 24]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 25]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 26]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 27]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 28]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 29]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 30]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 31]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 32]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 33]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 34]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 35]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 36]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 37]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 38]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 39]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 40]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 41]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 42]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 43]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 44]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 45]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 46]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 47]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 48]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 49]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 50]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 51]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 52]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 53]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 54]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 55]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 56]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 57]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 58]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 59]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 60]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 61]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 62]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 63]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 64]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 65]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 66]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 67]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 68]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 69]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 70]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 71]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 72]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 73]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 74]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 75]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 76]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 77]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 78]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 79]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 80]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 81]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 82]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 83]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 84]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 85]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 86]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 87]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 88]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 89]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 90]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 91]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 92]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 93]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 94]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 95]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 96]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 97]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 98]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[ 99]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[100]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[101]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[102]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[103]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[104]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[105]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[106]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[107]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[108]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[109]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[110]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[111]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[112]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[113]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[114]  900.0  1.000      0.  0.009
  120903.0010.ec.fits[115]  900.0  1.000      0.  0.009

  Output image = sum120903.0010.ec.fits, ncombine = 115, exptime = 103500.
  w1 = 3359.699, w2 = 10812.1, dw = 0.04392136, nw = 169677., dtype = 0

Dec 10 12:25: SCOMBINE
  combine = sum
  blank = 0.
                Images     Exp  Scale    Zero Weight
  120903.0011.ec.fits[  1]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[  2]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[  3]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[  4]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[  5]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[  6]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[  7]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[  8]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[  9]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 10]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 11]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 12]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 13]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 14]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 15]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 16]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 17]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 18]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 19]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 20]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 21]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 22]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 23]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 24]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 25]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 26]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 27]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 28]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 29]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 30]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 31]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 32]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 33]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 34]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 35]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 36]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 37]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 38]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 39]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 40]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 41]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 42]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 43]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 44]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 45]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 46]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 47]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 48]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 49]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 50]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 51]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 52]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 53]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 54]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 55]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 56]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 57]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 58]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 59]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 60]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 61]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 62]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 63]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 64]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 65]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 66]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 67]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 68]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 69]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 70]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 71]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 72]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 73]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 74]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 75]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 76]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 77]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 78]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 79]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 80]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 81]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 82]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 83]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 84]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 85]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 86]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 87]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 88]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 89]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 90]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 91]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 92]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 93]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 94]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 95]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 96]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 97]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 98]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[ 99]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[100]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[101]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[102]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[103]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[104]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[105]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[106]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[107]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[108]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[109]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[110]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[111]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[112]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[113]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[114]  900.0  1.000      0.  0.009
  120903.0011.ec.fits[115]  900.0  1.000      0.  0.009

  Output image = sum120903.0011.ec.fits, ncombine = 115, exptime = 103500.
  w1 = 3359.699, w2 = 10812.1, dw = 0.04392136, nw = 169677., dtype = 0

Dec 10 12:27: SCOMBINE
  combine = sum
  blank = 0.
                Images     Exp  Scale    Zero Weight
  120903.0012.ec.fits[  1]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[  2]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[  3]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[  4]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[  5]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[  6]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[  7]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[  8]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[  9]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 10]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 11]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 12]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 13]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 14]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 15]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 16]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 17]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 18]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 19]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 20]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 21]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 22]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 23]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 24]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 25]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 26]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 27]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 28]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 29]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 30]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 31]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 32]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 33]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 34]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 35]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 36]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 37]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 38]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 39]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 40]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 41]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 42]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 43]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 44]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 45]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 46]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 47]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 48]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 49]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 50]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 51]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 52]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 53]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 54]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 55]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 56]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 57]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 58]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 59]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 60]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 61]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 62]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 63]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 64]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 65]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 66]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 67]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 68]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 69]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 70]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 71]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 72]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 73]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 74]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 75]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 76]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 77]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 78]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 79]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 80]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 81]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 82]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 83]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 84]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 85]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 86]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 87]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 88]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 89]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 90]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 91]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 92]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 93]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 94]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 95]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 96]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 97]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 98]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[ 99]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[100]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[101]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[102]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[103]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[104]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[105]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[106]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[107]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[108]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[109]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[110]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[111]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[112]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[113]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[114]  720.0  1.000      0.  0.009
  120903.0012.ec.fits[115]  720.0  1.000      0.  0.009

  Output image = sum120903.0012.ec.fits, ncombine = 115, exptime = 82800.02
  w1 = 3359.699, w2 = 10812.1, dw = 0.04392136, nw = 169677., dtype = 0

Dec 10 12:28: SCOMBINE
  combine = sum
  blank = 0.
                Images     Exp  Scale    Zero Weight
  120903.0013.ec.fits[  1]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[  2]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[  3]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[  4]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[  5]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[  6]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[  7]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[  8]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[  9]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 10]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 11]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 12]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 13]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 14]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 15]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 16]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 17]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 18]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 19]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 20]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 21]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 22]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 23]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 24]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 25]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 26]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 27]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 28]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 29]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 30]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 31]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 32]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 33]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 34]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 35]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 36]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 37]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 38]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 39]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 40]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 41]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 42]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 43]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 44]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 45]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 46]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 47]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 48]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 49]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 50]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 51]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 52]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 53]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 54]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 55]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 56]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 57]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 58]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 59]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 60]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 61]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 62]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 63]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 64]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 65]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 66]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 67]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 68]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 69]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 70]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 71]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 72]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 73]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 74]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 75]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 76]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 77]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 78]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 79]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 80]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 81]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 82]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 83]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 84]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 85]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 86]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 87]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 88]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 89]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 90]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 91]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 92]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 93]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 94]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 95]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 96]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 97]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 98]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[ 99]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[100]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[101]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[102]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[103]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[104]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[105]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[106]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[107]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[108]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[109]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[110]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[111]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[112]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[113]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[114]  720.0  1.000      0.  0.009
  120903.0013.ec.fits[115]  720.0  1.000      0.  0.009

  Output image = sum120903.0013.ec.fits, ncombine = 115, exptime = 82799.99
  w1 = 3359.699, w2 = 10812.1, dw = 0.04392136, nw = 169677., dtype = 0

Dec 10 12:30: SCOMBINE
  combine = sum
  blank = 0.
                Images     Exp  Scale    Zero Weight
  120903.0014.ec.fits[  1]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[  2]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[  3]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[  4]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[  5]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[  6]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[  7]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[  8]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[  9]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 10]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 11]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 12]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 13]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 14]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 15]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 16]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 17]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 18]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 19]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 20]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 21]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 22]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 23]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 24]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 25]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 26]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 27]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 28]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 29]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 30]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 31]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 32]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 33]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 34]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 35]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 36]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 37]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 38]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 39]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 40]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 41]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 42]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 43]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 44]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 45]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 46]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 47]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 48]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 49]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 50]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 51]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 52]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 53]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 54]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 55]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 56]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 57]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 58]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 59]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 60]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 61]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 62]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 63]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 64]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 65]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 66]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 67]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 68]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 69]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 70]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 71]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 72]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 73]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 74]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 75]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 76]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 77]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 78]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 79]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 80]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 81]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 82]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 83]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 84]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 85]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 86]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 87]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 88]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 89]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 90]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 91]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 92]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 93]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 94]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 95]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 96]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 97]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 98]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[ 99]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[100]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[101]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[102]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[103]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[104]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[105]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[106]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[107]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[108]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[109]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[110]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[111]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[112]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[113]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[114]  720.0  1.000      0.  0.009
  120903.0014.ec.fits[115]  720.0  1.000      0.  0.009

  Output image = sum120903.0014.ec.fits, ncombine = 115, exptime = 82799.99
  w1 = 3359.699, w2 = 10812.1, dw = 0.04392136, nw = 169677., dtype = 0

Dec 10 12:31: SCOMBINE
  combine = sum
  blank = 0.
                Images     Exp  Scale    Zero Weight
  120903.0015.ec.fits[  1]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[  2]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[  3]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[  4]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[  5]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[  6]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[  7]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[  8]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[  9]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 10]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 11]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 12]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 13]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 14]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 15]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 16]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 17]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 18]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 19]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 20]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 21]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 22]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 23]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 24]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 25]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 26]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 27]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 28]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 29]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 30]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 31]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 32]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 33]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 34]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 35]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 36]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 37]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 38]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 39]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 40]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 41]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 42]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 43]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 44]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 45]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 46]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 47]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 48]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 49]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 50]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 51]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 52]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 53]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 54]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 55]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 56]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 57]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 58]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 59]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 60]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 61]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 62]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 63]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 64]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 65]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 66]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 67]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 68]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 69]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 70]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 71]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 72]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 73]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 74]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 75]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 76]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 77]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 78]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 79]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 80]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 81]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 82]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 83]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 84]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 85]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 86]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 87]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 88]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 89]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 90]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 91]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 92]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 93]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 94]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 95]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 96]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 97]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 98]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[ 99]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[100]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[101]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[102]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[103]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[104]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[105]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[106]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[107]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[108]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[109]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[110]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[111]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[112]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[113]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[114]  422.0  1.000      0.  0.009
  120903.0015.ec.fits[115]  422.0  1.000      0.  0.009

  Output image = sum120903.0015.ec.fits, ncombine = 115, exptime = 48529.13
  w1 = 3359.699, w2 = 10812.1, dw = 0.04392136, nw = 169677., dtype = 0

Dec 10 12:32: SCOMBINE
  combine = sum
  blank = 0.
                Images     Exp  Scale    Zero Weight
  fitcont120903.0008.ec.fits[  1] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[  2] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[  3] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[  4] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[  5] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[  6] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[  7] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[  8] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[  9] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 10] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 11] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 12] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 13] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 14] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 15] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 16] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 17] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 18] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 19] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 20] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 21] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 22] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 23] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 24] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 25] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 26] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 27] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 28] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 29] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 30] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 31] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 32] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 33] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 34] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 35] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 36] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 37] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 38] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 39] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 40] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 41] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 42] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 43] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 44] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 45] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 46] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 47] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 48] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 49] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 50] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 51] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 52] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 53] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 54] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 55] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 56] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 57] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 58] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 59] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 60] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 61] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 62] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 63] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 64] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 65] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 66] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 67] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 68] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 69] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 70] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 71] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 72] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 73] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 74] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 75] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 76] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 77] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 78] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 79] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 80] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 81] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 82] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 83] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 84] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 85] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 86] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 87] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 88] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 89] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 90] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 91] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 92] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 93] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 94] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 95] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 96] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 97] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 98] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[ 99] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[100] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[101] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[102] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[103] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[104] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[105] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[106] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[107] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[108] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[109] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[110] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[111] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[112] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[113] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[114] 1500.0  1.000      0.  0.009
  fitcont120903.0008.ec.fits[115] 1500.0  1.000      0.  0.009

  Output image = sumfitcont120903.0008.ec.fits, ncombine = 115, exptime = 172500.
  w1 = 3359.699, w2 = 10812.1, dw = 0.04392136, nw = 169677., dtype = 0

Dec 10 12:34: SCOMBINE
  combine = sum
  blank = 0.
                Images     Exp  Scale    Zero Weight
  fitcont120903.0009.ec.fits[  1] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[  2] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[  3] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[  4] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[  5] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[  6] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[  7] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[  8] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[  9] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 10] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 11] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 12] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 13] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 14] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 15] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 16] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 17] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 18] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 19] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 20] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 21] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 22] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 23] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 24] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 25] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 26] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 27] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 28] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 29] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 30] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 31] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 32] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 33] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 34] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 35] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 36] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 37] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 38] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 39] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 40] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 41] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 42] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 43] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 44] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 45] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 46] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 47] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 48] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 49] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 50] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 51] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 52] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 53] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 54] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 55] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 56] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 57] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 58] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 59] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 60] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 61] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 62] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 63] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 64] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 65] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 66] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 67] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 68] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 69] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 70] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 71] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 72] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 73] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 74] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 75] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 76] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 77] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 78] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 79] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 80] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 81] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 82] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 83] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 84] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 85] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 86] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 87] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 88] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 89] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 90] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 91] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 92] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 93] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 94] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 95] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 96] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 97] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 98] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[ 99] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[100] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[101] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[102] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[103] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[104] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[105] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[106] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[107] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[108] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[109] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[110] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[111] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[112] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[113] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[114] 1500.0  1.000      0.  0.009
  fitcont120903.0009.ec.fits[115] 1500.0  1.000      0.  0.009

  Output image = sumfitcont120903.0009.ec.fits, ncombine = 115, exptime = 172500.
  w1 = 3359.699, w2 = 10812.1, dw = 0.04392136, nw = 169677., dtype = 0

Dec 10 12:35: SCOMBINE
  combine = sum
  blank = 0.
                Images     Exp  Scale    Zero Weight
  fitcont120903.0010.ec.fits[  1]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[  2]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[  3]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[  4]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[  5]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[  6]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[  7]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[  8]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[  9]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 10]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 11]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 12]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 13]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 14]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 15]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 16]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 17]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 18]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 19]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 20]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 21]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 22]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 23]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 24]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 25]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 26]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 27]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 28]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 29]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 30]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 31]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 32]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 33]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 34]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 35]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 36]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 37]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 38]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 39]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 40]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 41]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 42]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 43]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 44]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 45]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 46]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 47]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 48]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 49]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 50]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 51]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 52]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 53]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 54]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 55]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 56]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 57]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 58]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 59]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 60]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 61]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 62]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 63]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 64]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 65]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 66]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 67]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 68]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 69]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 70]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 71]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 72]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 73]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 74]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 75]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 76]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 77]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 78]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 79]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 80]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 81]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 82]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 83]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 84]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 85]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 86]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 87]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 88]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 89]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 90]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 91]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 92]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 93]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 94]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 95]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 96]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 97]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 98]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[ 99]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[100]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[101]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[102]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[103]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[104]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[105]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[106]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[107]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[108]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[109]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[110]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[111]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[112]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[113]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[114]  900.0  1.000      0.  0.009
  fitcont120903.0010.ec.fits[115]  900.0  1.000      0.  0.009

  Output image = sumfitcont120903.0010.ec.fits, ncombine = 115, exptime = 103500.
  w1 = 3359.699, w2 = 10812.1, dw = 0.04392136, nw = 169677., dtype = 0

Dec 10 12:37: SCOMBINE
  combine = sum
  blank = 0.
                Images     Exp  Scale    Zero Weight
  fitcont120903.0011.ec.fits[  1]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[  2]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[  3]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[  4]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[  5]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[  6]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[  7]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[  8]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[  9]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 10]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 11]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 12]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 13]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 14]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 15]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 16]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 17]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 18]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 19]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 20]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 21]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 22]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 23]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 24]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 25]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 26]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 27]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 28]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 29]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 30]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 31]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 32]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 33]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 34]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 35]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 36]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 37]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 38]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 39]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 40]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 41]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 42]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 43]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 44]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 45]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 46]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 47]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 48]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 49]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 50]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 51]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 52]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 53]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 54]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 55]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 56]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 57]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 58]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 59]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 60]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 61]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 62]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 63]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 64]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 65]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 66]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 67]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 68]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 69]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 70]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 71]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 72]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 73]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 74]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 75]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 76]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 77]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 78]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 79]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 80]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 81]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 82]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 83]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 84]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 85]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 86]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 87]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 88]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 89]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 90]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 91]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 92]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 93]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 94]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 95]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 96]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 97]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 98]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[ 99]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[100]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[101]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[102]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[103]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[104]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[105]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[106]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[107]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[108]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[109]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[110]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[111]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[112]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[113]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[114]  900.0  1.000      0.  0.009
  fitcont120903.0011.ec.fits[115]  900.0  1.000      0.  0.009

  Output image = sumfitcont120903.0011.ec.fits, ncombine = 115, exptime = 103500.
  w1 = 3359.699, w2 = 10812.1, dw = 0.04392136, nw = 169677., dtype = 0

Dec 10 12:38: SCOMBINE
  combine = sum
  blank = 0.
                Images     Exp  Scale    Zero Weight
  fitcont120903.0012.ec.fits[  1]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[  2]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[  3]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[  4]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[  5]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[  6]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[  7]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[  8]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[  9]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 10]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 11]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 12]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 13]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 14]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 15]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 16]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 17]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 18]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 19]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 20]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 21]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 22]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 23]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 24]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 25]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 26]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 27]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 28]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 29]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 30]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 31]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 32]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 33]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 34]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 35]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 36]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 37]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 38]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 39]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 40]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 41]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 42]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 43]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 44]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 45]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 46]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 47]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 48]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 49]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 50]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 51]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 52]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 53]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 54]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 55]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 56]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 57]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 58]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 59]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 60]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 61]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 62]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 63]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 64]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 65]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 66]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 67]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 68]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 69]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 70]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 71]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 72]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 73]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 74]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 75]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 76]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 77]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 78]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 79]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 80]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 81]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 82]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 83]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 84]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 85]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 86]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 87]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 88]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 89]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 90]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 91]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 92]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 93]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 94]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 95]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 96]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 97]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 98]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[ 99]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[100]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[101]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[102]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[103]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[104]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[105]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[106]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[107]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[108]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[109]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[110]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[111]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[112]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[113]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[114]  720.0  1.000      0.  0.009
  fitcont120903.0012.ec.fits[115]  720.0  1.000      0.  0.009

  Output image = sumfitcont120903.0012.ec.fits, ncombine = 115, exptime = 82800.02
  w1 = 3359.699, w2 = 10812.1, dw = 0.04392136, nw = 169677., dtype = 0

Dec 10 12:39: SCOMBINE
  combine = sum
  blank = 0.
                Images     Exp  Scale    Zero Weight
  fitcont120903.0013.ec.fits[  1]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[  2]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[  3]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[  4]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[  5]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[  6]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[  7]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[  8]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[  9]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 10]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 11]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 12]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 13]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 14]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 15]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 16]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 17]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 18]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 19]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 20]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 21]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 22]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 23]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 24]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 25]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 26]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 27]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 28]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 29]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 30]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 31]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 32]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 33]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 34]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 35]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 36]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 37]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 38]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 39]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 40]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 41]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 42]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 43]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 44]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 45]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 46]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 47]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 48]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 49]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 50]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 51]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 52]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 53]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 54]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 55]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 56]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 57]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 58]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 59]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 60]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 61]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 62]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 63]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 64]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 65]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 66]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 67]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 68]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 69]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 70]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 71]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 72]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 73]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 74]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 75]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 76]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 77]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 78]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 79]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 80]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 81]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 82]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 83]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 84]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 85]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 86]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 87]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 88]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 89]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 90]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 91]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 92]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 93]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 94]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 95]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 96]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 97]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 98]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[ 99]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[100]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[101]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[102]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[103]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[104]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[105]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[106]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[107]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[108]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[109]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[110]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[111]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[112]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[113]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[114]  720.0  1.000      0.  0.009
  fitcont120903.0013.ec.fits[115]  720.0  1.000      0.  0.009

  Output image = sumfitcont120903.0013.ec.fits, ncombine = 115, exptime = 82799.99
  w1 = 3359.699, w2 = 10812.1, dw = 0.04392136, nw = 169677., dtype = 0

Dec 10 12:40: SCOMBINE
  combine = sum
  blank = 0.
                Images     Exp  Scale    Zero Weight
  fitcont120903.0014.ec.fits[  1]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[  2]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[  3]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[  4]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[  5]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[  6]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[  7]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[  8]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[  9]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 10]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 11]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 12]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 13]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 14]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 15]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 16]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 17]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 18]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 19]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 20]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 21]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 22]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 23]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 24]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 25]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 26]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 27]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 28]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 29]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 30]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 31]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 32]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 33]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 34]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 35]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 36]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 37]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 38]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 39]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 40]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 41]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 42]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 43]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 44]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 45]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 46]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 47]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 48]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 49]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 50]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 51]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 52]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 53]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 54]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 55]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 56]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 57]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 58]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 59]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 60]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 61]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 62]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 63]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 64]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 65]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 66]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 67]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 68]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 69]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 70]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 71]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 72]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 73]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 74]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 75]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 76]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 77]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 78]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 79]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 80]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 81]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 82]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 83]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 84]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 85]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 86]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 87]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 88]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 89]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 90]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 91]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 92]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 93]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 94]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 95]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 96]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 97]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 98]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[ 99]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[100]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[101]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[102]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[103]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[104]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[105]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[106]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[107]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[108]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[109]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[110]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[111]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[112]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[113]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[114]  720.0  1.000      0.  0.009
  fitcont120903.0014.ec.fits[115]  720.0  1.000      0.  0.009

  Output image = sumfitcont120903.0014.ec.fits, ncombine = 115, exptime = 82799.99
  w1 = 3359.699, w2 = 10812.1, dw = 0.04392136, nw = 169677., dtype = 0

Dec 10 12:41: SCOMBINE
  combine = sum
  blank = 0.
                Images     Exp  Scale    Zero Weight
  fitcont120903.0015.ec.fits[  1]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[  2]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[  3]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[  4]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[  5]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[  6]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[  7]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[  8]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[  9]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 10]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 11]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 12]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 13]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 14]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 15]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 16]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 17]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 18]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 19]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 20]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 21]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 22]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 23]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 24]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 25]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 26]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 27]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 28]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 29]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 30]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 31]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 32]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 33]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 34]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 35]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 36]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 37]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 38]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 39]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 40]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 41]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 42]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 43]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 44]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 45]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 46]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 47]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 48]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 49]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 50]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 51]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 52]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 53]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 54]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 55]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 56]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 57]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 58]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 59]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 60]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 61]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 62]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 63]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 64]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 65]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 66]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 67]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 68]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 69]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 70]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 71]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 72]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 73]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 74]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 75]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 76]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 77]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 78]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 79]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 80]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 81]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 82]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 83]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 84]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 85]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 86]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 87]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 88]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 89]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 90]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 91]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 92]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 93]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 94]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 95]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 96]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 97]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 98]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[ 99]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[100]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[101]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[102]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[103]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[104]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[105]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[106]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[107]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[108]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[109]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[110]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[111]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[112]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[113]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[114]  422.0  1.000      0.  0.009
  fitcont120903.0015.ec.fits[115]  422.0  1.000      0.  0.009

  Output image = sumfitcont120903.0015.ec.fits, ncombine = 115, exptime = 48529.13
  w1 = 3359.699, w2 = 10812.1, dw = 0.04392136, nw = 169677., dtype = 0
172500.
fullspec120903.0008.ec.fits,EXPTIME: 172500. -> 1500.0
fullspec120903.0008.ec.fits updated
172500.
fullspec120903.0009.ec.fits,EXPTIME: 172500. -> 1500.0
fullspec120903.0009.ec.fits updated
103500.
fullspec120903.0010.ec.fits,EXPTIME: 103500. -> 900.0
fullspec120903.0010.ec.fits updated
103500.
fullspec120903.0011.ec.fits,EXPTIME: 103500. -> 900.0
fullspec120903.0011.ec.fits updated
82800.02
fullspec120903.0012.ec.fits,EXPTIME: 82800.02 -> 720.000173913
fullspec120903.0012.ec.fits updated
82799.99
fullspec120903.0013.ec.fits,EXPTIME: 82799.99 -> 719.999913043
fullspec120903.0013.ec.fits updated
82799.99
fullspec120903.0014.ec.fits,EXPTIME: 82799.99 -> 719.999913043
fullspec120903.0014.ec.fits updated
48529.13
fullspec120903.0015.ec.fits,EXPTIME: 48529.13 -> 421.992434783
fullspec120903.0015.ec.fits updated
ALL DONE! Yay! (=^.^=)