Hot Pixel Analysis--- 970626n

NOTE: DO NOT EDIT THIS FILE! It is generated dynamically by software.
Night/hemisphere dataset: 970626n

17 scans (in low density regions) identified for analysis:
s007 s008 s009 s013 s014 s015 s016 s017 s018 s033 s034 s035 s036 s037 s038 s069 s070

Procedures performed are outlined in Data Processing

Results

Figure 1---
Row 1: The sum (coadd=stack) of 17 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 (1-17) 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 17 FREX (>=4) images.
Following 17 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 (1:8:47), 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=10	Median=6 Mean=21.6 p(t)=1.000000	Std=30 p(F)=1.000000	k.fex.stack.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=2	Median=17 Mean=17 p(t)=	Std=0 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=2	Median=10 Mean=10 p(t)=	Std=8.49 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
k013.fex.hot.tbl k013.fex.hot.tbl.frex-only.cdf	k013.fex.hot.tbl.frex-only.cdf p(KS test)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	k013.fex.hot.tbl.frex-only.stats
k014.fex.hot.tbl k014.fex.hot.tbl.frex-only.cdf	k014.fex.hot.tbl.frex-only.cdf p(KS test)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	k014.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)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	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)=	Npts=3	Median=8 Mean=10 p(t)=	Std=7.21 p(F)=	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)=	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)=	Npts=2	Median=9.5 Mean=9.5 p(t)=	Std=7.78 p(F)=	k018.fex.hot.tbl.frex-only.stats
k033.fex.hot.tbl k033.fex.hot.tbl.frex-only.cdf	k033.fex.hot.tbl.frex-only.cdf p(KS test)=	Npts=2	Median=14.5 Mean=14.5 p(t)=	Std=2.12 p(F)=	k033.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)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	k034.fex.hot.tbl.frex-only.stats
k035.fex.hot.tbl k035.fex.hot.tbl.frex-only.cdf	k035.fex.hot.tbl.frex-only.cdf p(KS test)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	k035.fex.hot.tbl.frex-only.stats
k036.fex.hot.tbl k036.fex.hot.tbl.frex-only.cdf	k036.fex.hot.tbl.frex-only.cdf p(KS test)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	k036.fex.hot.tbl.frex-only.stats
k037.fex.hot.tbl k037.fex.hot.tbl.frex-only.cdf	k037.fex.hot.tbl.frex-only.cdf p(KS test)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	k037.fex.hot.tbl.frex-only.stats
k038.fex.hot.tbl k038.fex.hot.tbl.frex-only.cdf	k038.fex.hot.tbl.frex-only.cdf p(KS test)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	k038.fex.hot.tbl.frex-only.stats
k069.fex.hot.tbl k069.fex.hot.tbl.frex-only.cdf	k069.fex.hot.tbl.frex-only.cdf p(KS test)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	k069.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)=	Npts=4	Median=6 Mean=8.5 p(t)=	Std=6.45 p(F)=	k070.fex.hot.tbl.frex-only.stats