Hot Pixel Analysis--- 970624n

NOTE: DO NOT EDIT THIS FILE! It is generated dynamically by software.
Night/hemisphere dataset: 970624n

18 scans (in low density regions) identified for analysis:
s012 s013 s014 s015 s016 s017 s032 s033 s034 s035 s036 s037 s058 s059 s060 s061 s062 s063

Procedures performed are outlined in Data Processing

Results

Figure 1---
Row 1: The sum (coadd=stack) of 18 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 (1-18) 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 18 FREX (>=4) images.
Following 18 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 (1:38:11), 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=15	Median=13 Mean=18.2 p(t)=1.000000	Std=15.6 p(F)=1.000000	k.fex.stack.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)=0.000000.	Npts=2	Median=7.5 Mean=7.5 p(t)=1.000000	Std=2.12 p(F)=1.000000	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)=0.963945.	Npts=2	Median=8 Mean=8 p(t)=0.829185	Std=0 p(F)=0.000000	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)=0.999342.	Npts=3	Median=6 Mean=7.67 p(t)=0.968867	Std=4.73 p(F)=0.605063	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)=0.925086.	Npts=3	Median=7 Mean=6.33 p(t)=0.648903	Std=1.15 p(F)=0.415188	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)=0.660386.	Npts=3	Median=15 Mean=15 p(t)=0.470179	Std=9 p(F)=0.328798	k017.fex.hot.tbl.frex-only.stats
k032.fex.hot.tbl k032.fex.hot.tbl.frex-only.cdf	k032.fex.hot.tbl.frex-only.cdf p(KS test)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	k032.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=	Median= Mean= p(t)=	Std= 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)=0.925086.	Npts=3	Median=9 Mean=14 p(t)=0.545389	Std=10.4 p(F)=0.284427	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)=0.270000.	Npts=2	Median=11 Mean=11 p(t)=0.451713	Std=1.41 p(F)=0.748668	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)=0.270000.	Npts=2	Median=4 Mean=4 p(t)=0.414356	Std=0 p(F)=0.000000	k037.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)=	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)=0.181300.	Npts=3	Median=4 Mean=4 p(t)=0.345647	Std=0 p(F)=0.000000	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
k062.fex.hot.tbl k062.fex.hot.tbl.frex-only.cdf	k062.fex.hot.tbl.frex-only.cdf p(KS test)=0.660386.	Npts=3	Median=4 Mean=5.33 p(t)=0.536939	Std=2.31 p(F)=0.910590	k062.fex.hot.tbl.frex-only.stats
k063.fex.hot.tbl k063.fex.hot.tbl.frex-only.cdf	k063.fex.hot.tbl.frex-only.cdf p(KS test)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	k063.fex.hot.tbl.frex-only.stats