Hot Pixel Analysis--- 970424n

NOTE: DO NOT EDIT THIS FILE! It is generated dynamically by software.
Night/hemisphere dataset: 970424n

28 scans (in low density regions) identified for analysis:
s015 s016 s017 s018 s019 s020 s021 s022 s023 s049 s050 s051 s052 s054 s073 s074 s075 s076 s077 s078 s079 s080 s093 s094 s095 s096 s097 s099

Procedures performed are outlined in Data Processing

Results

Figure 1---
Row 1: The sum (coadd=stack) of 28 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 (1-28) 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 28 FREX (>=4) images.
Following 28 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: 25-Aug-97 (10:37:9), 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=40	Median=7 Mean=38.9 p(t)=1.000000	Std=69.7 p(F)=1.000000	k.fex.stack.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)=0.000000.	Npts=4	Median=4 Mean=4.75 p(t)=1.000000	Std=1.5 p(F)=1.000000	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)=0.210552.	Npts=4	Median=11.5 Mean=13.2 p(t)=0.263226	Std=9.64 p(F)=0.012255	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)=0.400471.	Npts=5	Median=8 Mean=7.6 p(t)=0.282861	Std=3.78 p(F)=0.160602	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)=0.164079.	Npts=5	Median=8 Mean=15.6 p(t)=0.325129	Std=17.8 p(F)=0.001936	k018.fex.hot.tbl.frex-only.stats
k019.fex.hot.tbl k019.fex.hot.tbl.frex-only.cdf	k019.fex.hot.tbl.frex-only.cdf p(KS test)=0.164079.	Npts=5	Median=8 Mean=24.8 p(t)=0.393973	Std=39.9 p(F)=0.000173	k019.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)=0.927221.	Npts=3	Median=5 Mean=19.7 p(t)=0.482892	Std=26.3 p(F)=0.000679	k020.fex.hot.tbl.frex-only.stats
k021.fex.hot.tbl k021.fex.hot.tbl.frex-only.cdf	k021.fex.hot.tbl.frex-only.cdf p(KS test)=0.305113.	Npts=7	Median=9 Mean=32.6 p(t)=0.242449	Std=44.8 p(F)=0.000116	k021.fex.hot.tbl.frex-only.stats
k022.fex.hot.tbl k022.fex.hot.tbl.frex-only.cdf	k022.fex.hot.tbl.frex-only.cdf p(KS test)=0.948308.	Npts=5	Median=5 Mean=14.8 p(t)=0.429560	Std=21.9 p(F)=0.001029	k022.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)=0.210552.	Npts=4	Median=22.5 Mean=23.2 p(t)=0.242616	Std=19.7 p(F)=0.001479	k023.fex.hot.tbl.frex-only.stats
k049.fex.hot.tbl k049.fex.hot.tbl.frex-only.cdf	k049.fex.hot.tbl.frex-only.cdf p(KS test)=0.999633.	Npts=4	Median=5.5 Mean=11 p(t)=0.441680	Std=12.1 p(F)=0.006319	k049.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=5	Median=17 Mean=31.2 p(t)=0.315591	Std=42.3 p(F)=0.000145	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)=0.585970.	Npts=6	Median=7.5 Mean=11 p(t)=0.245292	Std=8.99 p(F)=0.014094	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)=0.699374.	Npts=4	Median=6 Mean=6 p(t)=0.430853	Std=1.83 p(F)=0.754513	k052.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)=0.927221.	Npts=3	Median=5 Mean=5.33 p(t)=0.691183	Std=1.53 p(F)=0.909236	k054.fex.hot.tbl.frex-only.stats
k073.fex.hot.tbl k073.fex.hot.tbl.frex-only.cdf	k073.fex.hot.tbl.frex-only.cdf p(KS test)=0.927221.	Npts=3	Median=5 Mean=7.67 p(t)=0.515040	Std=5.51 p(F)=0.063363	k073.fex.hot.tbl.frex-only.stats
k074.fex.hot.tbl k074.fex.hot.tbl.frex-only.cdf	k074.fex.hot.tbl.frex-only.cdf p(KS test)=0.869164.	Npts=5	Median=6 Mean=9.4 p(t)=0.385190	Std=8.88 p(F)=0.014988	k074.fex.hot.tbl.frex-only.stats
k075.fex.hot.tbl k075.fex.hot.tbl.frex-only.cdf	k075.fex.hot.tbl.frex-only.cdf p(KS test)=0.999633.	Npts=4	Median=4 Mean=28.8 p(t)=0.462372	Std=49.5 p(F)=0.000094	k075.fex.hot.tbl.frex-only.stats
k076.fex.hot.tbl k076.fex.hot.tbl.frex-only.cdf	k076.fex.hot.tbl.frex-only.cdf p(KS test)=0.431256.	Npts=3	Median=12 Mean=9.33 p(t)=0.314212	Std=4.62 p(F)=0.100966	k076.fex.hot.tbl.frex-only.stats
k077.fex.hot.tbl k077.fex.hot.tbl.frex-only.cdf	k077.fex.hot.tbl.frex-only.cdf p(KS test)=0.210552.	Npts=4	Median=7 Mean=8.75 p(t)=0.302566	Std=4.99 p(F)=0.078886	k077.fex.hot.tbl.frex-only.stats
k078.fex.hot.tbl k078.fex.hot.tbl.frex-only.cdf	k078.fex.hot.tbl.frex-only.cdf p(KS test)=0.999633.	Npts=4	Median=5 Mean=9.75 p(t)=0.462464	Std=10.2 p(F)=0.010360	k078.fex.hot.tbl.frex-only.stats
k079.fex.hot.tbl k079.fex.hot.tbl.frex-only.cdf	k079.fex.hot.tbl.frex-only.cdf p(KS test)=0.210552.	Npts=4	Median=8 Mean=8.5 p(t)=0.164685	Std=2.52 p(F)=0.417978	k079.fex.hot.tbl.frex-only.stats
k080.fex.hot.tbl k080.fex.hot.tbl.frex-only.cdf	k080.fex.hot.tbl.frex-only.cdf p(KS test)=0.210552.	Npts=4	Median=7 Mean=10.2 p(t)=0.310163	Std=7.18 p(F)=0.028645	k080.fex.hot.tbl.frex-only.stats
k093.fex.hot.tbl k093.fex.hot.tbl.frex-only.cdf	k093.fex.hot.tbl.frex-only.cdf p(KS test)=0.927221.	Npts=3	Median=5 Mean=5 p(t)=0.829763	Std=1 p(F)=0.644893	k093.fex.hot.tbl.frex-only.stats
k094.fex.hot.tbl k094.fex.hot.tbl.frex-only.cdf	k094.fex.hot.tbl.frex-only.cdf p(KS test)=0.999924.	Npts=3	Median=4 Mean=4 p(t)=0.476804	Std=0 p(F)=0.000000	k094.fex.hot.tbl.frex-only.stats
k095.fex.hot.tbl k095.fex.hot.tbl.frex-only.cdf	k095.fex.hot.tbl.frex-only.cdf p(KS test)=0.210552.	Npts=4	Median=7 Mean=8.75 p(t)=0.314084	Std=5.19 p(F)=0.071041	k095.fex.hot.tbl.frex-only.stats
k096.fex.hot.tbl k096.fex.hot.tbl.frex-only.cdf	k096.fex.hot.tbl.frex-only.cdf p(KS test)=1.000000.	Npts=3	Median=4 Mean=5 p(t)=0.869967	Std=1.73 p(F)=0.770407	k096.fex.hot.tbl.frex-only.stats
k097.fex.hot.tbl k097.fex.hot.tbl.frex-only.cdf	k097.fex.hot.tbl.frex-only.cdf p(KS test)=0.999992.	Npts=5	Median=4 Mean=5.4 p(t)=0.691974	Std=2.61 p(F)=0.390389	k097.fex.hot.tbl.frex-only.stats
k099.fex.hot.tbl k099.fex.hot.tbl.frex-only.cdf	k099.fex.hot.tbl.frex-only.cdf p(KS test)=0.999633.	Npts=4	Median=4 Mean=4.25 p(t)=0.609729	Std=0.5 p(F)=0.104088	k099.fex.hot.tbl.frex-only.stats