Hot Pixel Analysis--- 970613n

NOTE: DO NOT EDIT THIS FILE! It is generated dynamically by software.
Night/hemisphere dataset: 970613n

16 scans (in low density regions) identified for analysis:
s008 s009 s010 s011 s012 s013 s023 s025 s026 s027 s050 s051 s052 s053 s054 s055

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 (5:11:16), 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=21	Median=10 Mean=13.5 p(t)=1.000000	Std=10.8 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=5	Median=4 Mean=4.2 p(t)=1.000000	Std=0.447 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)=0.985280.	Npts=3	Median=4 Mean=5.33 p(t)=0.524474	Std=2.31 p(F)=0.009735	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)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	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)=0.181300.	Npts=3	Median=6 Mean=7.67 p(t)=0.311211	Std=3.79 p(F)=0.001474	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)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	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)=0.867426.	Npts=2	Median=5.5 Mean=5.5 p(t)=0.575184	Std=2.12 p(F)=0.018029	k013.fex.hot.tbl.frex-only.stats
k023.fex.hot.tbl k023.fex.hot.tbl.frex-only.cdf	k023.fex.hot.tbl.frex-only.cdf p(KS test)=0.375207.	Npts=3	Median=7 Mean=10.7 p(t)=0.391782	Std=9.07 p(F)=0.000047	k023.fex.hot.tbl.frex-only.stats
k025.fex.hot.tbl k025.fex.hot.tbl.frex-only.cdf	k025.fex.hot.tbl.frex-only.cdf p(KS test)=0.999524.	Npts=2	Median=4.5 Mean=4.5 p(t)=0.693916	Std=0.707 p(F)=0.378007	k025.fex.hot.tbl.frex-only.stats
k026.fex.hot.tbl k026.fex.hot.tbl.frex-only.cdf	k026.fex.hot.tbl.frex-only.cdf p(KS test)=0.999965.	Npts=5	Median=4 Mean=4.6 p(t)=0.465477	Std=0.894 p(F)=0.208000	k026.fex.hot.tbl.frex-only.stats
k027.fex.hot.tbl k027.fex.hot.tbl.frex-only.cdf	k027.fex.hot.tbl.frex-only.cdf p(KS test)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	k027.fex.hot.tbl.frex-only.stats
k050.fex.hot.tbl k050.fex.hot.tbl.frex-only.cdf	k050.fex.hot.tbl.frex-only.cdf p(KS test)=0.116310.	Npts=4	Median=5.5 Mean=8.5 p(t)=0.327400	Std=6.35 p(F)=0.000161	k050.fex.hot.tbl.frex-only.stats
k051.fex.hot.tbl k051.fex.hot.tbl.frex-only.cdf	k051.fex.hot.tbl.frex-only.cdf p(KS test)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	k051.fex.hot.tbl.frex-only.stats
k052.fex.hot.tbl k052.fex.hot.tbl.frex-only.cdf	k052.fex.hot.tbl.frex-only.cdf p(KS test)=0.114843.	Npts=2	Median=12 Mean=12 p(t)=0.121634	Std=1.41 p(F)=0.068219	k052.fex.hot.tbl.frex-only.stats
k053.fex.hot.tbl k053.fex.hot.tbl.frex-only.cdf	k053.fex.hot.tbl.frex-only.cdf p(KS test)=0.114843.	Npts=2	Median=12 Mean=12 p(t)=0.404351	Std=7.07 p(F)=0.000187	k053.fex.hot.tbl.frex-only.stats
k054.fex.hot.tbl k054.fex.hot.tbl.frex-only.cdf	k054.fex.hot.tbl.frex-only.cdf p(KS test)=0.114843.	Npts=2	Median=9 Mean=9 p(t)=0.178354	Std=1.41 p(F)=0.068219	k054.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)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	k055.fex.hot.tbl.frex-only.stats