Hot Pixel Analysis--- 970828n

NOTE: DO NOT EDIT THIS FILE! It is generated dynamically by software.
Night/hemisphere dataset: 970828n

15 scans (in low density regions) identified for analysis:
s001 s002 s003 s004 s005 s006 s007 s008 s009 s010 s011 s012 s017 s018 s020

Procedures performed are outlined in Data Processing

Results

Figure 1---
Row 1: The sum (coadd=stack) of 15 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 (1-15) 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 15 FREX (>=4) images.
Following 15 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: 5-Sep-97 (10:26:51), 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=9	Median=13 Mean=22.1 p(t)=1.000000	Std=24.8 p(F)=1.000000	k.fex.stack.hot.tbl.frex-only.stats
k001.fex.hot.tbl k001.fex.hot.tbl.frex-only.cdf	k001.fex.hot.tbl.frex-only.cdf p(KS test)=0.000000.	Npts=2	Median=21 Mean=21 p(t)=1.000000	Std=1.41 p(F)=1.000000	k001.fex.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)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	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)=0.270000.	Npts=2	Median=8 Mean=8 p(t)=0.358559	Std=5.66 p(F)=0.311917	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)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	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)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	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)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	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)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	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)=0.138920.	Npts=4	Median=5.5 Mean=7 p(t)=0.161763	Std=4.24 p(F)=0.478359	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)=0.270000.	Npts=2	Median=4 Mean=4 p(t)=0.155522	Std=0 p(F)=0.000000	k012.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)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	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)=0.270000.	Npts=2	Median=11.5 Mean=11.5 p(t)=0.278660	Std=2.12 p(F)=0.748668	k018.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)=0.138920.	Npts=4	Median=8.5 Mean=9 p(t)=0.192752	Std=4.69 p(F)=0.434567	k020.fex.hot.tbl.frex-only.stats