File # Mean
Quad 1     Mean Diff Diff^2   Gain
gain10s/fc180.fit[256,256] 1 34077 34105.8 -28.8 829.44   0.018212738 Vari/mean
gain10s/fc181.fit[256,256] 1 34093   -12.8 163.84   54.90662631 mean/vari
gain10s/fc182.fit[256,256] 1 34108   2.2 4.84    
gain10s/fc183.fit[256,256] 1 34050   -55.8 3113.64    
gain10s/fc184.fit[256,256] 1 34086   -19.8 392.04    
gain10s/fc185.fit[256,256] 1 34108 Variance 2.2 4.84    
gain10s/fc186.fit[256,256] 1 34102 621.16 -3.8 14.44    
gain10s/fc187.fit[256,256] 1 34134 StDev (RMS) 28.2 795.24    
gain10s/fc188.fit[256,256] 1 34169 24.92308167 63.2 3994.24    
gain10s/fc189.fit[256,256] 1 34106   0.2 0.04    
gain10s/fc190.fit[256,256] 1 34122   16.2 262.44    
gain10s/fc191.fit[256,256] 1 34106   0.2 0.04    
gain10s/fc192.fit[256,256] 1 34112   6.2 38.44    
gain10s/fc193.fit[256,256] 1 34124   18.2 331.24    
gain10s/fc194.fit[256,256] 1 34099   -6.8 46.24    
gain10s/fc195.fit[256,256] 1 34093   -12.8 163.84    
gain10s/fc196.fit[256,256] 1 34142   36.2 1310.44    
gain10s/fc197.fit[256,256] 1 34107   1.2 1.44    
gain10s/fc198.fit[256,256] 1 34103   -2.8 7.84    
gain10s/fc199.fit[256,256] 1 34075   -30.8 948.64    
Quad 2     Mean Diff Diff^2   Gain
gain10s/fc180.fit[256,768] 1 33957 33963.95 -6.95 48.3025   0.017729019 Vari/mean
gain10s/fc181.fit[256,768] 1 33950   -13.95 194.6025   56.40470151 mean/vari
gain10s/fc182.fit[256,768] 1 33923   -40.95 1676.9025    
gain10s/fc183.fit[256,768] 1 33897   -66.95 4482.3025    
gain10s/fc184.fit[256,768] 1 33983   19.05 362.9025    
gain10s/fc185.fit[256,768] 1 33980 Variance 16.05 257.6025    
gain10s/fc186.fit[256,768] 1 33950 602.1475 -13.95 194.6025    
gain10s/fc187.fit[256,768] 1 33959 StDev (RMS) -4.95 24.5025    
gain10s/fc188.fit[256,768] 1 33990 24.53869393 26.05 678.6025    
gain10s/fc189.fit[256,768] 1 33978   14.05 197.4025    
gain10s/fc190.fit[256,768] 1 33963   -0.95 0.9025    
gain10s/fc191.fit[256,768] 1 33983   19.05 362.9025    
gain10s/fc192.fit[256,768] 1 33959   -4.95 24.5025    
gain10s/fc193.fit[256,768] 1 33976   12.05 145.2025    
gain10s/fc194.fit[256,768] 1 33971   7.05 49.7025    
gain10s/fc195.fit[256,768] 1 33973   9.05 81.9025    
gain10s/fc196.fit[256,768] 1 33972   8.05 64.8025    
gain10s/fc197.fit[256,768] 1 34015   51.05 2606.1025    
gain10s/fc198.fit[256,768] 1 33960   -3.95 15.6025    
gain10s/fc199.fit[256,768] 1 33940   -23.95 573.6025    
Quad 3     Mean Diff Diff^2   Gain
gain10s/fc180.fit[768,768] 1 30623 30639.6 -16.6 275.56   0.023226152 Vari/mean
gain10s/fc181.fit[768,768] 1 30568   -71.6 5126.56   43.05491541 mean/vari
gain10s/fc182.fit[768,768] 1 30648   8.4 70.56    
gain10s/fc183.fit[768,768] 1 30621   -18.6 345.96    
gain10s/fc184.fit[768,768] 1 30645   5.4 29.16    
gain10s/fc185.fit[768,768] 1 30616 Variance -23.6 556.96    
gain10s/fc186.fit[768,768] 1 30630 711.64 -9.6 92.16    
gain10s/fc187.fit[768,768] 1 30661 StDev (RMS) 21.4 457.96    
gain10s/fc188.fit[768,768] 1 30660 26.67658149 20.4 416.16    
gain10s/fc189.fit[768,768] 1 30662   22.4 501.76    
gain10s/fc190.fit[768,768] 1 30601   -38.6 1489.96    
gain10s/fc191.fit[768,768] 1 30690   50.4 2540.16    
gain10s/fc192.fit[768,768] 1 30635   -4.6 21.16    
gain10s/fc193.fit[768,768] 1 30618   -21.6 466.56    
gain10s/fc194.fit[768,768] 1 30664   24.4 595.36    
gain10s/fc195.fit[768,768] 1 30646   6.4 40.96    
gain10s/fc196.fit[768,768] 1 30652   12.4 153.76    
gain10s/fc197.fit[768,768] 1 30641   1.4 1.96    
gain10s/fc198.fit[768,768] 1 30639   -0.6 0.36    
gain10s/fc199.fit[768,768] 1 30672   32.4 1049.76    
Quad 4     Mean Diff Diff^2   Gain
gain10s/fc180.fit[768,256] 1 34462 34481.4 -19.4 376.36   0.014881646 Vari/mean
gain10s/fc181.fit[768,256] 1 34448   -33.4 1115.56   67.19686635 mean/vari
gain10s/fc182.fit[768,256] 1 34506   24.6 605.16    
gain10s/fc183.fit[768,256] 1 34514   32.6 1062.76    
gain10s/fc184.fit[768,256] 1 34512   30.6 936.36    
gain10s/fc185.fit[768,256] 1 34464 Variance -17.4 302.76    
gain10s/fc186.fit[768,256] 1 34508 513.14 26.6 707.56    
gain10s/fc187.fit[768,256] 1 34487 StDev (RMS) 5.6 31.36    
gain10s/fc188.fit[768,256] 1 34475 22.65259367 -6.4 40.96    
gain10s/fc189.fit[768,256] 1 34460   -21.4 457.96    
gain10s/fc190.fit[768,256] 1 34486   4.6 21.16    
gain10s/fc191.fit[768,256] 1 34464   -17.4 302.76    
gain10s/fc192.fit[768,256] 1 34487   5.6 31.36    
gain10s/fc193.fit[768,256] 1 34468   -13.4 179.56    
gain10s/fc194.fit[768,256] 1 34482   0.6 0.36    
gain10s/fc195.fit[768,256] 1 34491   9.6 92.16    
gain10s/fc196.fit[768,256] 1 34517   35.6 1267.36    
gain10s/fc197.fit[768,256] 1 34464   -17.4 302.76    
gain10s/fc198.fit[768,256] 1 34498   16.6 275.56   Average Gain
gain10s/fc199.fit[768,256] 1 34435   -46.4 2152.96   55.39077739 saturation