File	#	Mean
Quad 1				Mean	Diff	Diff^2		Gain
gain15s/fc200.fit[256,256]	1	33480		33518.7	-38.7	1497.69		0.051338805	Vari/mean
gain15s/fc201.fit[256,256]	1	33502			-16.7	278.89		19.47844329	mean/vari
gain15s/fc202.fit[256,256]	1	33539			20.3	412.09
gain15s/fc203.fit[256,256]	1	33535			16.3	265.69
gain15s/fc204.fit[256,256]	1	33470			-48.7	2371.69
gain15s/fc205.fit[256,256]	1	33525		Variance	6.3	39.69
gain15s/fc206.fit[256,256]	1	33450		1720.81	-68.7	4719.69
gain15s/fc207.fit[256,256]	1	33504		StDev (RMS)	-14.7	216.09
gain15s/fc208.fit[256,256]	1	33478		41.48264697	-40.7	1656.49
gain15s/fc209.fit[256,256]	1	33523			4.3	18.49
gain15s/fc210.fit[256,256]	1	33494			-24.7	610.09
gain15s/fc211.fit[256,256]	1	33529			10.3	106.09
gain15s/fc212.fit[256,256]	1	33544			25.3	640.09
gain15s/fc213.fit[256,256]	1	33572			53.3	2840.89
gain15s/fc214.fit[256,256]	1	33541			22.3	497.29
gain15s/fc215.fit[256,256]	1	33462			-56.7	3214.89
gain15s/fc216.fit[256,256]	1	33488			-30.7	942.49
gain15s/fc217.fit[256,256]	1	33576			57.3	3283.29
gain15s/fc218.fit[256,256]	1	33620			101.3	10261.69
gain15s/fc219.fit[256,256]	1	33542			23.3	542.89
Quad 2				Mean	Diff	Diff^2		Gain
gain15s/fc200.fit[256,768]	1	33438		33451.35	-13.35	178.2225		0.029129691	Vari/mean
gain15s/fc201.fit[256,768]	1	33393			-58.35	3404.7225		34.32923435	mean/vari
gain15s/fc202.fit[256,768]	1	33406			-45.35	2056.6225
gain15s/fc203.fit[256,768]	1	33461			9.65	93.1225
gain15s/fc204.fit[256,768]	1	33462			10.65	113.4225
gain15s/fc205.fit[256,768]	1	33414		Variance	-37.35	1395.0225
gain15s/fc206.fit[256,768]	1	33433		974.4275	-18.35	336.7225
gain15s/fc207.fit[256,768]	1	33464		StDev (RMS)	12.65	160.0225
gain15s/fc208.fit[256,768]	1	33475		31.21582131	23.65	559.3225
gain15s/fc209.fit[256,768]	1	33449			-2.35	5.5225
gain15s/fc210.fit[256,768]	1	33433			-18.35	336.7225
gain15s/fc211.fit[256,768]	1	33433			-18.35	336.7225
gain15s/fc212.fit[256,768]	1	33411			-40.35	1628.1225
gain15s/fc213.fit[256,768]	1	33441			-10.35	107.1225
gain15s/fc214.fit[256,768]	1	33484			32.65	1066.0225
gain15s/fc215.fit[256,768]	1	33481			29.65	879.1225
gain15s/fc216.fit[256,768]	1	33454			2.65	7.0225
gain15s/fc217.fit[256,768]	1	33497			45.65	2083.9225
gain15s/fc218.fit[256,768]	1	33489			37.65	1417.5225
gain15s/fc219.fit[256,768]	1	33509			57.65	3323.5225
Quad 3				Mean	Diff	Diff^2		Gain
gain15s/fc200.fit[768,768]	1	30187		30214.7	-27.7	767.29		0.017564629	Vari/mean
gain15s/fc201.fit[768,768]	1	30186			-28.7	823.69		56.93259972	mean/vari
gain15s/fc202.fit[768,768]	1	30210			-4.7	22.09
gain15s/fc203.fit[768,768]	1	30213			-1.7	2.89
gain15s/fc204.fit[768,768]	1	30201			-13.7	187.69
gain15s/fc205.fit[768,768]	1	30236		Variance	21.3	453.69
gain15s/fc206.fit[768,768]	1	30251		530.71	36.3	1317.69
gain15s/fc207.fit[768,768]	1	30221		StDev (RMS)	6.3	39.69
gain15s/fc208.fit[768,768]	1	30180		23.03714392	-34.7	1204.09
gain15s/fc209.fit[768,768]	1	30203			-11.7	136.89
gain15s/fc210.fit[768,768]	1	30219			4.3	18.49
gain15s/fc211.fit[768,768]	1	30263			48.3	2332.89
gain15s/fc212.fit[768,768]	1	30197			-17.7	313.29
gain15s/fc213.fit[768,768]	1	30227			12.3	151.29
gain15s/fc214.fit[768,768]	1	30188			-26.7	712.89
gain15s/fc215.fit[768,768]	1	30209			-5.7	32.49
gain15s/fc216.fit[768,768]	1	30208			-6.7	44.89
gain15s/fc217.fit[768,768]	1	30204			-10.7	114.49
gain15s/fc218.fit[768,768]	1	30241			26.3	691.69
gain15s/fc219.fit[768,768]	1	30250			35.3	1246.09
Quad 4				Mean	Diff	Diff^2		Gain
gain15s/fc200.fit[768,256]	1	33871		33875.3	-4.3	18.49		0.025419996	Vari/mean
gain15s/fc201.fit[768,256]	1	33872			-3.3	10.89		39.33910882	mean/vari
gain15s/fc202.fit[768,256]	1	33823			-52.3	2735.29
gain15s/fc203.fit[768,256]	1	33911			35.7	1274.49
gain15s/fc204.fit[768,256]	1	33916			40.7	1656.49
gain15s/fc205.fit[768,256]	1	33882		Variance	6.7	44.89
gain15s/fc206.fit[768,256]	1	33889		861.11	13.7	187.69
gain15s/fc207.fit[768,256]	1	33875		StDev (RMS)	-0.3	0.09
gain15s/fc208.fit[768,256]	1	33841		29.34467584	-34.3	1176.49
gain15s/fc209.fit[768,256]	1	33904			28.7	823.69
gain15s/fc210.fit[768,256]	1	33890			14.7	216.09
gain15s/fc211.fit[768,256]	1	33855			-20.3	412.09
gain15s/fc212.fit[768,256]	1	33876			0.7	0.49
gain15s/fc213.fit[768,256]	1	33907			31.7	1004.89
gain15s/fc214.fit[768,256]	1	33825			-50.3	2530.09
gain15s/fc215.fit[768,256]	1	33875			-0.3	0.09
gain15s/fc216.fit[768,256]	1	33912			36.7	1346.89
gain15s/fc217.fit[768,256]	1	33881			5.7	32.49
gain15s/fc218.fit[768,256]	1	33815			-60.3	3636.09		Average Gain
gain15s/fc219.fit[768,256]	1	33886			10.7	114.49		37.51984655	Saturation