Hot Pixel Analysis--- 970521n

NOTE: DO NOT EDIT THIS FILE! It is generated dynamically by software.
Night/hemisphere dataset: 970521n

18 scans (in low density regions) identified for analysis:
s001 s002 s003 s004 s005 s006 s007 s008 s009 s010 s011 s012 s023 s024 s025 s026 s027 s028

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 (11:55:5), 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=24	Median=14 Mean=23.3 p(t)=1.000000	Std=27.2 p(F)=1.000000	k.fex.stack.hot.tbl.frex-only.stats
k001.fex.hot.tbl k001.fex.hot.tbl.frex-only.cdf	k001.fex.hot.tbl.frex-only.cdf p(KS test)=0.000000.	Npts=4	Median=6.5 Mean=7 p(t)=1.000000	Std=2.94 p(F)=1.000000	k001.fex.hot.tbl.frex-only.stats
k002.fex.hot.tbl k002.fex.hot.tbl.frex-only.cdf	k002.fex.hot.tbl.frex-only.cdf p(KS test)=0.927221.	Npts=3	Median=9 Mean=7.67 p(t)=0.786297	Std=2.31 p(F)=0.805784	k002.fex.hot.tbl.frex-only.stats
k003.fex.hot.tbl k003.fex.hot.tbl.frex-only.cdf	k003.fex.hot.tbl.frex-only.cdf p(KS test)=0.892778.	Npts=2	Median=7.5 Mean=7.5 p(t)=0.814560	Std=0.707 p(F)=0.348683	k003.fex.hot.tbl.frex-only.stats
k004.fex.hot.tbl k004.fex.hot.tbl.frex-only.cdf	k004.fex.hot.tbl.frex-only.cdf p(KS test)=0.431256.	Npts=3	Median=15 Mean=15.3 p(t)=0.380580	Std=10.5 p(F)=0.068442	k004.fex.hot.tbl.frex-only.stats
k005.fex.hot.tbl k005.fex.hot.tbl.frex-only.cdf	k005.fex.hot.tbl.frex-only.cdf p(KS test)=0.948308.	Npts=5	Median=7 Mean=7.8 p(t)=0.730484	Std=2.95 p(F)=0.960536	k005.fex.hot.tbl.frex-only.stats
k006.fex.hot.tbl k006.fex.hot.tbl.frex-only.cdf	k006.fex.hot.tbl.frex-only.cdf p(KS test)=0.387648.	Npts=6	Median=4 Mean=4.5 p(t)=0.257126	Std=1.22 p(F)=0.088530	k006.fex.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)=0.999924.	Npts=3	Median=6 Mean=7 p(t)=1.000000	Std=2.65 p(F)=0.951907	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)=0.999998.	Npts=7	Median=7 Mean=8 p(t)=0.696511	Std=4.4 p(F)=0.544768	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)=0.999633.	Npts=4	Median=6 Mean=6.25 p(t)=0.728350	Std=2.06 p(F)=0.573273	k009.fex.hot.tbl.frex-only.stats
k010.fex.hot.tbl k010.fex.hot.tbl.frex-only.cdf	k010.fex.hot.tbl.frex-only.cdf p(KS test)=0.210552.	Npts=4	Median=14 Mean=13.5 p(t)=0.282068	Std=7.37 p(F)=0.165904	k010.fex.hot.tbl.frex-only.stats
k011.fex.hot.tbl k011.fex.hot.tbl.frex-only.cdf	k011.fex.hot.tbl.frex-only.cdf p(KS test)=0.999633.	Npts=4	Median=6 Mean=6.25 p(t)=0.750812	Std=2.63 p(F)=0.857317	k011.fex.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)=0.948308.	Npts=5	Median=8 Mean=7.2 p(t)=0.931683	Std=3.11 p(F)=0.964845	k012.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)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	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)=0.998266.	Npts=6	Median=6.5 Mean=6.33 p(t)=0.739998	Std=2.25 p(F)=0.559159	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)=0.948308.	Npts=5	Median=5 Mean=6.6 p(t)=0.866301	Std=3.21 p(F)=0.923967	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)=0.948308.	Npts=5	Median=8 Mean=7.6 p(t)=0.784001	Std=2.61 p(F)=0.792634	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)=0.999997.	Npts=2	Median=5.5 Mean=5.5 p(t)=0.634866	Std=2.12 p(F)=0.953515	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)=0.998266.	Npts=6	Median=6.5 Mean=6.17 p(t)=0.666879	Std=1.83 p(F)=0.334018	k028.fex.hot.tbl.frex-only.stats