Hot Pixel Analysis--- 970627n

NOTE: DO NOT EDIT THIS FILE! It is generated dynamically by software.
Night/hemisphere dataset: 970627n

16 scans (in low density regions) identified for analysis:
s002 s003 s004 s005 s006 s007 s008 s010 s030 s034 s055 s056 s057 s058 s059 s060

Procedures performed are outlined in Data Processing

Results

Figure 1---
Row 1: The sum (coadd=stack) of 16 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 (1-16) 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 16 FREX (>=4) images.
Following 16 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: 26-Aug-97 (0:53:11), 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=19	Median=10 Mean=14.7 p(t)=1.000000	Std=12.4 p(F)=1.000000	k.fex.stack.hot.tbl.frex-only.stats
k002.fex.hot.tbl k002.fex.hot.tbl.frex-only.cdf	k002.fex.hot.tbl.frex-only.cdf p(KS test)=0.000000.	Npts=4	Median=5 Mean=6.25 p(t)=1.000000	Std=3.3 p(F)=1.000000	k002.fex.hot.tbl.frex-only.stats
k003.fex.hot.tbl k003.fex.hot.tbl.frex-only.cdf	k003.fex.hot.tbl.frex-only.cdf p(KS test)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	k003.fex.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)=0.892778.	Npts=2	Median=6.5 Mean=6.5 p(t)=0.913945	Std=0.707 p(F)=0.311485	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)=0.892778.	Npts=2	Median=12.5 Mean=12.5 p(t)=0.631818	Std=12 p(F)=0.071573	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)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	k006.fex.hot.tbl.frex-only.stats
k007.fex.hot.tbl k007.fex.hot.tbl.frex-only.cdf	k007.fex.hot.tbl.frex-only.cdf p(KS test)=0.892778.	Npts=2	Median=10.5 Mean=10.5 p(t)=0.624981	Std=7.78 p(F)=0.199859	k007.fex.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)=1.000000.	Npts=3	Median=5 Mean=6.67 p(t)=0.900627	Std=3.79 p(F)=0.778785	k008.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)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	k010.fex.hot.tbl.frex-only.stats
k030.fex.hot.tbl k030.fex.hot.tbl.frex-only.cdf	k030.fex.hot.tbl.frex-only.cdf p(KS test)=0.400471.	Npts=5	Median=11 Mean=11.2 p(t)=0.226346	Std=4.71 p(F)=0.586238	k030.fex.hot.tbl.frex-only.stats
k034.fex.hot.tbl k034.fex.hot.tbl.frex-only.cdf	k034.fex.hot.tbl.frex-only.cdf p(KS test)=0.927221.	Npts=3	Median=7 Mean=9 p(t)=0.597633	Std=6.24 p(F)=0.321611	k034.fex.hot.tbl.frex-only.stats
k055.fex.hot.tbl k055.fex.hot.tbl.frex-only.cdf	k055.fex.hot.tbl.frex-only.cdf p(KS test)=0.784770.	Npts=3	Median=8 Mean=10.3 p(t)=0.491350	Std=6.81 p(F)=0.266879	k055.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)=0.892778.	Npts=2	Median=4 Mean=4 p(t)=0.453186	Std=0 p(F)=0.000000	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)=0.892778.	Npts=2	Median=7 Mean=7 p(t)=0.779670	Std=1.41 p(F)=0.604999	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)=0.999633.	Npts=4	Median=5 Mean=6.5 p(t)=0.932377	Std=3.79 p(F)=0.828241	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)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	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)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	k060.fex.hot.tbl.frex-only.stats