Hot Pixel Analysis--- 980919n

NOTE: DO NOT EDIT THIS FILE! It is generated dynamically by software.
Night/hemisphere dataset: 980919n

21 scans (in low density regions) identified for analysis:
s012 s020 s021 s022 s023 s024 s025 s034 s035 s066 s067 s068 s069 s070 s071 s094 s095 s096 s097 s098 s099

Procedures performed are outlined in Data Processing

Results

Figure 1---
Row 1: The sum (coadd=stack) of 21 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 (1-21) 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 21 FREX (>=4) images.
Following 21 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: 12-Oct-98 (11:16:26), 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=18	Median=9 Mean=31.2 p(t)=1.000000	Std=65.6 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=9.5 Mean=9.5 p(t)=1.000000	Std=6.36 p(F)=1.000000	k012.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)=0.925086.	Npts=3	Median=14 Mean=12.3 p(t)=0.717314	Std=4.73 p(F)=0.620815	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)=0.892778.	Npts=4	Median=6 Mean=7.25 p(t)=0.745912	Std=4.03 p(F)=0.425037	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)=0.999997.	Npts=4	Median=6.5 Mean=8.5 p(t)=0.885661	Std=5.07 p(F)=0.595960	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)=0.963945.	Npts=2	Median=10.5 Mean=10.5 p(t)=0.916269	Std=6.36 p(F)=1.000000	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)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	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)=0.892778.	Npts=4	Median=12.5 Mean=12.5 p(t)=0.709988	Std=6.76 p(F)=0.831608	k025.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
k066.fex.hot.tbl k066.fex.hot.tbl.frex-only.cdf	k066.fex.hot.tbl.frex-only.cdf p(KS test)=0.976259.	Npts=5	Median=14 Mean=11.4 p(t)=0.789406	Std=5.98 p(F)=0.694898	k066.fex.hot.tbl.frex-only.stats
k067.fex.hot.tbl k067.fex.hot.tbl.frex-only.cdf	k067.fex.hot.tbl.frex-only.cdf p(KS test)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	k067.fex.hot.tbl.frex-only.stats
k068.fex.hot.tbl k068.fex.hot.tbl.frex-only.cdf	k068.fex.hot.tbl.frex-only.cdf p(KS test)=0.999997.	Npts=4	Median=7 Mean=8.5 p(t)=0.887690	Std=5.45 p(F)=0.654097	k068.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)=0.925086.	Npts=3	Median=5 Mean=5.67 p(t)=0.610290	Std=2.08 p(F)=0.184810	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)=0.441306.	Npts=4	Median=4 Mean=5.5 p(t)=0.588635	Std=3 p(F)=0.248054	k070.fex.hot.tbl.frex-only.stats
k071.fex.hot.tbl k071.fex.hot.tbl.frex-only.cdf	k071.fex.hot.tbl.frex-only.cdf p(KS test)=0.963945.	Npts=2	Median=8.5 Mean=8.5 p(t)=0.916269	Std=6.36 p(F)=1.000000	k071.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)=0.963945.	Npts=2	Median=12 Mean=12 p(t)=0.740830	Std=1.41 p(F)=0.278418	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)=0.925086.	Npts=3	Median=10 Mean=12.3 p(t)=0.758877	Std=7.77 p(F)=0.997418	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)=0.517551.	Npts=6	Median=4 Mean=5.33 p(t)=0.557202	Std=2.8 p(F)=0.145061	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)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	k097.fex.hot.tbl.frex-only.stats
k098.fex.hot.tbl k098.fex.hot.tbl.frex-only.cdf	k098.fex.hot.tbl.frex-only.cdf p(KS test)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	k098.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)=0.892778.	Npts=4	Median=11 Mean=11.2 p(t)=0.819779	Std=6.7 p(F)=0.824776	k099.fex.hot.tbl.frex-only.stats