Hot Pixel Analysis--- 971205n

NOTE: DO NOT EDIT THIS FILE! It is generated dynamically by software.
Night/hemisphere dataset: 971205n

28 scans (in low density regions) identified for analysis:
s004 s005 s006 s015 s016 s017 s018 s019 s020 s043 s044 s045 s046 s047 s048 s059 s070 s071 s072 s073 s074 s075 s151 s152 s153 s154 s155 s156

Procedures performed are outlined in Data Processing

Results

Figure 1---
Row 1: The sum (coadd=stack) of 28 FREX (>=4) images. The plotted numbers indicate the sum of the FREX values at each pixel. Links to the FITS images are given below the K, H and J panel.
Row 2: The plotted numbers indicate the number of scans (1-28) in which FREX>=4 was found for each hot pixel.
Below the K, H and J panel are links to the corresponding tabular data.

K H J
1) Sum of FREX Images:
Tabular Data
OR mask in Fowler's Format
FITS Image
Tabular Data
OR mask in Fowler's Format
FITS Image
Tabular Data
OR mask in Fowler's Format
FITS Image
2) Scan Counts:
k.scan_cnt.tbl
h.scan_cnt.tbl
j.scan_cnt.tbl

Figure 2---
Histograms, CDFs, and comparison statistics for K-array FREX distributions.
Row 1: Data for the coadd (stack=sum) of 28 FREX (>=4) images.
Following 28 rows: Data for each scan.
Under each CDF plot is a link to the data file, and the p-level for the two-sample KS statistic. After the histogram and CFD plot are rows listing the number of points, median, mean, p-level for the Student's t test for different means, standard deviation, p-level for the F test for different variances, and a link to the original statistics program output file.

Last update: 2-Apr-98 (10:57:6), Joe Mazzarella (mazz@ipac.caltech.edu )

	K	H	J
1) Sum of FREX Images:	Tabular Data OR mask in Fowler's Format FITS Image	Tabular Data OR mask in Fowler's Format FITS Image	Tabular Data OR mask in Fowler's Format FITS Image
2) Scan Counts:	k.scan_cnt.tbl	h.scan_cnt.tbl	j.scan_cnt.tbl

Histogram cdf data file	CDF cdf data file p(KS test)	# Points	Median Mean p(t)	Std p(F)	Statistics file
k.fex.stack.hot.tbl k.fex.stack.hot.tbl.frex-only.cdf	k.fex.stack.hot.tbl.frex-only.cdf p(KS test)=0.000000.	Npts=44	Median=18.5 Mean=38.6 p(t)=1.000000	Std=53.6 p(F)=1.000000	k.fex.stack.hot.tbl.frex-only.stats
k004.fex.hot.tbl k004.fex.hot.tbl.frex-only.cdf	k004.fex.hot.tbl.frex-only.cdf p(KS test)=0.000000.	Npts=5	Median=6 Mean=7.2 p(t)=1.000000	Std=2.39 p(F)=1.000000	k004.fex.hot.tbl.frex-only.stats
k005.fex.hot.tbl k005.fex.hot.tbl.frex-only.cdf	k005.fex.hot.tbl.frex-only.cdf p(KS test)=0.509458.	Npts=3	Median=10 Mean=9.67 p(t)=0.357125	Std=2.52 p(F)=0.826531	k005.fex.hot.tbl.frex-only.stats
k006.fex.hot.tbl k006.fex.hot.tbl.frex-only.cdf	k006.fex.hot.tbl.frex-only.cdf p(KS test)=0.944650.	Npts=8	Median=5.5 Mean=7.62 p(t)=0.857148	Std=5.24 p(F)=0.148063	k006.fex.hot.tbl.frex-only.stats
k015.fex.hot.tbl k015.fex.hot.tbl.frex-only.cdf	k015.fex.hot.tbl.frex-only.cdf p(KS test)=0.971133.	Npts=7	Median=6 Mean=6.71 p(t)=0.808235	Std=3.82 p(F)=0.382798	k015.fex.hot.tbl.frex-only.stats
k016.fex.hot.tbl k016.fex.hot.tbl.frex-only.cdf	k016.fex.hot.tbl.frex-only.cdf p(KS test)=0.592503.	Npts=6	Median=10 Mean=9.83 p(t)=0.308899	Std=4.17 p(F)=0.302894	k016.fex.hot.tbl.frex-only.stats
k017.fex.hot.tbl k017.fex.hot.tbl.frex-only.cdf	k017.fex.hot.tbl.frex-only.cdf p(KS test)=0.818621.	Npts=5	Median=5 Mean=7.2 p(t)=1.000000	Std=4.09 p(F)=0.322604	k017.fex.hot.tbl.frex-only.stats
k018.fex.hot.tbl k018.fex.hot.tbl.frex-only.cdf	k018.fex.hot.tbl.frex-only.cdf p(KS test)=0.329105.	Npts=5	Median=12 Mean=10.8 p(t)=0.205281	Std=3.63 p(F)=0.436006	k018.fex.hot.tbl.frex-only.stats
k019.fex.hot.tbl k019.fex.hot.tbl.frex-only.cdf	k019.fex.hot.tbl.frex-only.cdf p(KS test)=0.935500.	Npts=7	Median=8 Mean=9.86 p(t)=0.387628	Std=6.07 p(F)=0.092424	k019.fex.hot.tbl.frex-only.stats
k020.fex.hot.tbl k020.fex.hot.tbl.frex-only.cdf	k020.fex.hot.tbl.frex-only.cdf p(KS test)=0.974110.	Npts=8	Median=6.5 Mean=6.62 p(t)=0.710846	Std=2.5 p(F)=0.984407	k020.fex.hot.tbl.frex-only.stats
k043.fex.hot.tbl k043.fex.hot.tbl.frex-only.cdf	k043.fex.hot.tbl.frex-only.cdf p(KS test)=0.309699.	Npts=8	Median=5 Mean=6.38 p(t)=0.696560	Std=4.41 p(F)=0.253482	k043.fex.hot.tbl.frex-only.stats
k044.fex.hot.tbl k044.fex.hot.tbl.frex-only.cdf	k044.fex.hot.tbl.frex-only.cdf p(KS test)=0.990646.	Npts=8	Median=7.5 Mean=10.5 p(t)=0.363519	Std=7.91 p(F)=0.035467	k044.fex.hot.tbl.frex-only.stats
k045.fex.hot.tbl k045.fex.hot.tbl.frex-only.cdf	k045.fex.hot.tbl.frex-only.cdf p(KS test)=0.922332.	Npts=6	Median=7 Mean=9.17 p(t)=0.540686	Std=6.18 p(F)=0.089244	k045.fex.hot.tbl.frex-only.stats
k046.fex.hot.tbl k046.fex.hot.tbl.frex-only.cdf	k046.fex.hot.tbl.frex-only.cdf p(KS test)=0.818621.	Npts=5	Median=11 Mean=12 p(t)=0.230595	Std=5.83 p(F)=0.111847	k046.fex.hot.tbl.frex-only.stats
k047.fex.hot.tbl k047.fex.hot.tbl.frex-only.cdf	k047.fex.hot.tbl.frex-only.cdf p(KS test)=0.775449.	Npts=6	Median=6.5 Mean=6 p(t)=0.408899	Std=1.26 p(F)=0.196030	k047.fex.hot.tbl.frex-only.stats
k048.fex.hot.tbl k048.fex.hot.tbl.frex-only.cdf	k048.fex.hot.tbl.frex-only.cdf p(KS test)=0.971133.	Npts=7	Median=6 Mean=8.29 p(t)=0.701536	Std=6.02 p(F)=0.094902	k048.fex.hot.tbl.frex-only.stats
k059.fex.hot.tbl k059.fex.hot.tbl.frex-only.cdf	k059.fex.hot.tbl.frex-only.cdf p(KS test)=0.971133.	Npts=7	Median=7 Mean=8.71 p(t)=0.608837	Std=6.24 p(F)=0.084119	k059.fex.hot.tbl.frex-only.stats
k070.fex.hot.tbl k070.fex.hot.tbl.frex-only.cdf	k070.fex.hot.tbl.frex-only.cdf p(KS test)=0.660386.	Npts=10	Median=9 Mean=9.7 p(t)=0.253604	Std=4.35 p(F)=0.260479	k070.fex.hot.tbl.frex-only.stats
k071.fex.hot.tbl k071.fex.hot.tbl.frex-only.cdf	k071.fex.hot.tbl.frex-only.cdf p(KS test)=0.274286.	Npts=9	Median=12 Mean=12.4 p(t)=0.147710	Std=7.09 p(F)=0.051624	k071.fex.hot.tbl.frex-only.stats
k072.fex.hot.tbl k072.fex.hot.tbl.frex-only.cdf	k072.fex.hot.tbl.frex-only.cdf p(KS test)=0.990646.	Npts=8	Median=7 Mean=8.88 p(t)=0.509059	Std=5.41 p(F)=0.133052	k072.fex.hot.tbl.frex-only.stats
k073.fex.hot.tbl k073.fex.hot.tbl.frex-only.cdf	k073.fex.hot.tbl.frex-only.cdf p(KS test)=0.966791.	Npts=6	Median=8.5 Mean=8.67 p(t)=0.493919	Std=3.56 p(F)=0.459179	k073.fex.hot.tbl.frex-only.stats
k074.fex.hot.tbl k074.fex.hot.tbl.frex-only.cdf	k074.fex.hot.tbl.frex-only.cdf p(KS test)=0.485805.	Npts=9	Median=11 Mean=9.44 p(t)=0.281383	Std=3.84 p(F)=0.373356	k074.fex.hot.tbl.frex-only.stats
k075.fex.hot.tbl k075.fex.hot.tbl.frex-only.cdf	k075.fex.hot.tbl.frex-only.cdf p(KS test)=0.309699.	Npts=8	Median=10 Mean=10 p(t)=0.207840	Std=3.63 p(F)=0.437962	k075.fex.hot.tbl.frex-only.stats
k151.fex.hot.tbl k151.fex.hot.tbl.frex-only.cdf	k151.fex.hot.tbl.frex-only.cdf p(KS test)=0.845303.	Npts=8	Median=7.5 Mean=8.25 p(t)=0.597491	Std=3.92 p(F)=0.355114	k151.fex.hot.tbl.frex-only.stats
k152.fex.hot.tbl k152.fex.hot.tbl.frex-only.cdf	k152.fex.hot.tbl.frex-only.cdf p(KS test)=0.990646.	Npts=8	Median=6 Mean=6.88 p(t)=0.860401	Std=3.64 p(F)=0.432566	k152.fex.hot.tbl.frex-only.stats
k153.fex.hot.tbl k153.fex.hot.tbl.frex-only.cdf	k153.fex.hot.tbl.frex-only.cdf p(KS test)=0.971133.	Npts=7	Median=7 Mean=8 p(t)=0.718791	Std=4.4 p(F)=0.257247	k153.fex.hot.tbl.frex-only.stats
k154.fex.hot.tbl k154.fex.hot.tbl.frex-only.cdf	k154.fex.hot.tbl.frex-only.cdf p(KS test)=0.990169.	Npts=6	Median=7.5 Mean=7.5 p(t)=0.872527	Std=3.15 p(F)=0.612741	k154.fex.hot.tbl.frex-only.stats
k155.fex.hot.tbl k155.fex.hot.tbl.frex-only.cdf	k155.fex.hot.tbl.frex-only.cdf p(KS test)=0.811159.	Npts=9	Median=9 Mean=8.11 p(t)=0.608478	Std=3.48 p(F)=0.486751	k155.fex.hot.tbl.frex-only.stats
k156.fex.hot.tbl k156.fex.hot.tbl.frex-only.cdf	k156.fex.hot.tbl.frex-only.cdf p(KS test)=0.971133.	Npts=7	Median=7 Mean=8 p(t)=0.747240	Std=5.13 p(F)=0.160264	k156.fex.hot.tbl.frex-only.stats