Hot Pixel Analysis--- 970708n

NOTE: DO NOT EDIT THIS FILE! It is generated dynamically by software.
Night/hemisphere dataset: 970708n

20 scans (in low density regions) identified for analysis:
s008 s009 s010 s011 s012 s013 s056 s057 s058 s059 s060 s061 s077 s078 s079 s080 s081 s082 s083 s084

Procedures performed are outlined in Data Processing

Results

Figure 1---
Row 1: The sum (coadd=stack) of 20 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 (1-20) 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 20 FREX (>=4) images.
Following 20 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: 25-Aug-97 (20:4:53), 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=11	Median=9 Mean=31.2 p(t)=1.000000	Std=68.8 p(F)=1.000000	k.fex.stack.hot.tbl.frex-only.stats
k008.fex.hot.tbl k008.fex.hot.tbl.frex-only.cdf	k008.fex.hot.tbl.frex-only.cdf p(KS test)=0.000000.	Npts=4	Median=4 Mean=5.75 p(t)=1.000000	Std=3.5 p(F)=1.000000	k008.fex.hot.tbl.frex-only.stats
k009.fex.hot.tbl k009.fex.hot.tbl.frex-only.cdf	k009.fex.hot.tbl.frex-only.cdf p(KS test)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	k009.fex.hot.tbl.frex-only.stats
k010.fex.hot.tbl k010.fex.hot.tbl.frex-only.cdf	k010.fex.hot.tbl.frex-only.cdf p(KS test)=0.999997.	Npts=2	Median=5 Mean=5 p(t)=0.788024	Std=1.41 p(F)=0.573505	k010.fex.hot.tbl.frex-only.stats
k011.fex.hot.tbl k011.fex.hot.tbl.frex-only.cdf	k011.fex.hot.tbl.frex-only.cdf p(KS test)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	k011.fex.hot.tbl.frex-only.stats
k012.fex.hot.tbl k012.fex.hot.tbl.frex-only.cdf	k012.fex.hot.tbl.frex-only.cdf p(KS test)=0.441306.	Npts=2	Median=10 Mean=10 p(t)=0.341712	Std=1.41 p(F)=0.573505	k012.fex.hot.tbl.frex-only.stats
k013.fex.hot.tbl k013.fex.hot.tbl.frex-only.cdf	k013.fex.hot.tbl.frex-only.cdf p(KS test)=0.999997.	Npts=2	Median=7 Mean=7 p(t)=0.794351	Std=4.24 p(F)=0.624401	k013.fex.hot.tbl.frex-only.stats
k056.fex.hot.tbl k056.fex.hot.tbl.frex-only.cdf	k056.fex.hot.tbl.frex-only.cdf p(KS test)=0.927221.	Npts=3	Median=6 Mean=8.33 p(t)=0.604557	Std=5.86 p(F)=0.411673	k056.fex.hot.tbl.frex-only.stats
k057.fex.hot.tbl k057.fex.hot.tbl.frex-only.cdf	k057.fex.hot.tbl.frex-only.cdf p(KS test)=0.441306.	Npts=2	Median=14 Mean=14 p(t)=0.367858	Std=5.66 p(F)=0.408921	k057.fex.hot.tbl.frex-only.stats
k058.fex.hot.tbl k058.fex.hot.tbl.frex-only.cdf	k058.fex.hot.tbl.frex-only.cdf p(KS test)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	k058.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)=0.441306.	Npts=2	Median=10.5 Mean=10.5 p(t)=0.544859	Std=6.36 p(F)=0.333215	k059.fex.hot.tbl.frex-only.stats
k060.fex.hot.tbl k060.fex.hot.tbl.frex-only.cdf	k060.fex.hot.tbl.frex-only.cdf p(KS test)=0.289819.	Npts=3	Median=8 Mean=8.33 p(t)=0.384747	Std=1.53 p(F)=0.328319	k060.fex.hot.tbl.frex-only.stats
k061.fex.hot.tbl k061.fex.hot.tbl.frex-only.cdf	k061.fex.hot.tbl.frex-only.cdf p(KS test)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	k061.fex.hot.tbl.frex-only.stats
k077.fex.hot.tbl k077.fex.hot.tbl.frex-only.cdf	k077.fex.hot.tbl.frex-only.cdf p(KS test)=0.699374.	Npts=4	Median=7.5 Mean=7.25 p(t)=0.577643	Std=2.5 p(F)=0.594416	k077.fex.hot.tbl.frex-only.stats
k078.fex.hot.tbl k078.fex.hot.tbl.frex-only.cdf	k078.fex.hot.tbl.frex-only.cdf p(KS test)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	k078.fex.hot.tbl.frex-only.stats
k079.fex.hot.tbl k079.fex.hot.tbl.frex-only.cdf	k079.fex.hot.tbl.frex-only.cdf p(KS test)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	k079.fex.hot.tbl.frex-only.stats
k080.fex.hot.tbl k080.fex.hot.tbl.frex-only.cdf	k080.fex.hot.tbl.frex-only.cdf p(KS test)=0.441306.	Npts=2	Median=12 Mean=12 p(t)=0.317062	Std=2.83 p(F)=0.956316	k080.fex.hot.tbl.frex-only.stats
k081.fex.hot.tbl k081.fex.hot.tbl.frex-only.cdf	k081.fex.hot.tbl.frex-only.cdf p(KS test)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	k081.fex.hot.tbl.frex-only.stats
k082.fex.hot.tbl k082.fex.hot.tbl.frex-only.cdf	k082.fex.hot.tbl.frex-only.cdf p(KS test)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	k082.fex.hot.tbl.frex-only.stats
k083.fex.hot.tbl k083.fex.hot.tbl.frex-only.cdf	k083.fex.hot.tbl.frex-only.cdf p(KS test)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	k083.fex.hot.tbl.frex-only.stats
k084.fex.hot.tbl k084.fex.hot.tbl.frex-only.cdf	k084.fex.hot.tbl.frex-only.cdf p(KS test)=0.441306.	Npts=2	Median=10.5 Mean=10.5 p(t)=0.595486	Std=7.78 p(F)=0.225595	k084.fex.hot.tbl.frex-only.stats