Hot Pixel Analysis--- 970622n

NOTE: DO NOT EDIT THIS FILE! It is generated dynamically by software.
Night/hemisphere dataset: 970622n

28 scans (in low density regions) identified for analysis:
s020 s021 s022 s023 s024 s025 s026 s027 s028 s029 s030 s031 s032 s033 s046 s047 s048 s049 s050 s051 s052 s053 s054 s055 s056 s057 s058 s059

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: 7-Aug-97 (16:56:58), 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=52	Median=12.5 Mean=70.3 p(t)=1.000000	Std=132 p(F)=1.000000	k.fex.stack.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)=0.000000.	Npts=8	Median=7.5 Mean=9.12 p(t)=1.000000	Std=5.41 p(F)=1.000000	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)=0.925086.	Npts=12	Median=6.5 Mean=13.6 p(t)=0.556621	Std=23.3 p(F)=0.000778	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)=0.734407.	Npts=9	Median=7 Mean=19.9 p(t)=0.259971	Std=23.7 p(F)=0.000847	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)=0.591099.	Npts=6	Median=5 Mean=10.2 p(t)=0.849702	Std=11.4 p(F)=0.076596	k023.fex.hot.tbl.frex-only.stats
k024.fex.hot.tbl k024.fex.hot.tbl.frex-only.cdf	k024.fex.hot.tbl.frex-only.cdf p(KS test)=0.660386.	Npts=12	Median=6 Mean=16.2 p(t)=0.341380	Std=21.8 p(F)=0.001200	k024.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)=0.984964.	Npts=9	Median=7 Mean=12.3 p(t)=0.550393	Std=13.5 p(F)=0.025868	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)=0.591099.	Npts=6	Median=11.5 Mean=10.2 p(t)=0.695809	Std=3.6 p(F)=0.387175	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)=0.647621.	Npts=10	Median=11 Mean=10 p(t)=0.727315	Std=4.24 p(F)=0.487266	k027.fex.hot.tbl.frex-only.stats
k028.fex.hot.tbl k028.fex.hot.tbl.frex-only.cdf	k028.fex.hot.tbl.frex-only.cdf p(KS test)=0.909735.	Npts=11	Median=9 Mean=10.8 p(t)=0.609059	Std=7.93 p(F)=0.321528	k028.fex.hot.tbl.frex-only.stats
k029.fex.hot.tbl k029.fex.hot.tbl.frex-only.cdf	k029.fex.hot.tbl.frex-only.cdf p(KS test)=0.647621.	Npts=10	Median=11.5 Mean=15.8 p(t)=0.334684	Std=18.2 p(F)=0.004138	k029.fex.hot.tbl.frex-only.stats
k030.fex.hot.tbl k030.fex.hot.tbl.frex-only.cdf	k030.fex.hot.tbl.frex-only.cdf p(KS test)=0.121126.	Npts=5	Median=20 Mean=28 p(t)=0.224175	Std=26.1 p(F)=0.000776	k030.fex.hot.tbl.frex-only.stats
k031.fex.hot.tbl k031.fex.hot.tbl.frex-only.cdf	k031.fex.hot.tbl.frex-only.cdf p(KS test)=0.188780.	Npts=9	Median=5 Mean=12 p(t)=0.653965	Std=16.8 p(F)=0.007329	k031.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)=0.925086.	Npts=12	Median=8.5 Mean=13.9 p(t)=0.333010	Std=13.7 p(F)=0.021139	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)=0.660386.	Npts=12	Median=6 Mean=11.2 p(t)=0.612622	Std=11.8 p(F)=0.049642	k033.fex.hot.tbl.frex-only.stats
k046.fex.hot.tbl k046.fex.hot.tbl.frex-only.cdf	k046.fex.hot.tbl.frex-only.cdf p(KS test)=0.963945.	Npts=8	Median=7.5 Mean=7.5 p(t)=0.497426	Std=2.78 p(F)=0.099563	k046.fex.hot.tbl.frex-only.stats
k047.fex.hot.tbl k047.fex.hot.tbl.frex-only.cdf	k047.fex.hot.tbl.frex-only.cdf p(KS test)=0.943973.	Npts=10	Median=6.5 Mean=14.7 p(t)=0.406660	Std=18 p(F)=0.004488	k047.fex.hot.tbl.frex-only.stats
k048.fex.hot.tbl k048.fex.hot.tbl.frex-only.cdf	k048.fex.hot.tbl.frex-only.cdf p(KS test)=0.813565.	Npts=11	Median=10 Mean=12 p(t)=0.465234	Std=10 p(F)=0.115312	k048.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)=0.823970.	Npts=9	Median=6 Mean=11.2 p(t)=0.660279	Std=11.9 p(F)=0.051832	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)=0.780445.	Npts=9	Median=9 Mean=21.4 p(t)=0.297831	Std=30 p(F)=0.000175	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)=0.963945.	Npts=8	Median=10.5 Mean=13.5 p(t)=0.355619	Std=10.3 p(F)=0.110471	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)=0.999342.	Npts=12	Median=7 Mean=15 p(t)=0.450717	Std=23.6 p(F)=0.000714	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)=0.999991.	Npts=13	Median=7 Mean=8.77 p(t)=0.894687	Std=6.02 p(F)=0.806905	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)=0.984964.	Npts=9	Median=9 Mean=13.8 p(t)=0.374097	Std=12.6 p(F)=0.038140	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)=0.647621.	Npts=10	Median=5 Mean=11.3 p(t)=0.614191	Std=11 p(F)=0.073415	k055.fex.hot.tbl.frex-only.stats
k056.fex.hot.tbl k056.fex.hot.tbl.frex-only.cdf	k056.fex.hot.tbl.frex-only.cdf p(KS test)=0.999991.	Npts=13	Median=8 Mean=13.9 p(t)=0.441421	Std=19.3 p(F)=0.002554	k056.fex.hot.tbl.frex-only.stats
k057.fex.hot.tbl k057.fex.hot.tbl.frex-only.cdf	k057.fex.hot.tbl.frex-only.cdf p(KS test)=0.999213.	Npts=10	Median=8 Mean=11.4 p(t)=0.564359	Std=9.72 p(F)=0.136443	k057.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)=0.990216.	Npts=11	Median=7 Mean=9.45 p(t)=0.915845	Std=7.38 p(F)=0.422342	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)=0.522943.	Npts=13	Median=11 Mean=16.8 p(t)=0.169618	Std=15.3 p(F)=0.010558	k059.fex.hot.tbl.frex-only.stats