Hot Pixel Analysis--- 970717n

NOTE: DO NOT EDIT THIS FILE! It is generated dynamically by software.
Night/hemisphere dataset: 970717n

14 scans (in low density regions) identified for analysis:
s013 s014 s015 s016 s017 s018 s019 s020 s034 s035 s036 s037 s038 s039

Procedures performed are outlined in Data Processing

Results

Figure 1---
Row 1: The sum (coadd=stack) of 14 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 (1-14) 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 14 FREX (>=4) images.
Following 14 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 (17:16:35), 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=10	Median=16.5 Mean=25.8 p(t)=1.000000	Std=27.6 p(F)=1.000000	k.fex.stack.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)=0.000000.	Npts=2	Median=9 Mean=9 p(t)=1.000000	Std=4.24 p(F)=1.000000	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)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	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)=0.270000.	Npts=2	Median=4.5 Mean=4.5 p(t)=0.510993	Std=0.707 p(F)=0.210274	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)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	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)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	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)=0.925086.	Npts=3	Median=7 Mean=6.67 p(t)=0.652833	Std=2.52 p(F)=0.467738	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)=0.270000.	Npts=2	Median=4.5 Mean=4.5 p(t)=0.510993	Std=0.707 p(F)=0.210274	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)=0.963945.	Npts=2	Median=8.5 Mean=8.5 p(t)=0.931499	Std=3.54 p(F)=0.884568	k020.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)=0.999997.	Npts=4	Median=6.5 Mean=9.25 p(t)=0.968276	Std=7.27 p(F)=0.798625	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)=0.999524.	Npts=5	Median=8 Mean=8.2 p(t)=0.864711	Std=4.15 p(F)=0.728287	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)=	Npts=	Median= Mean= p(t)=	Std= p(F)=	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)=0.925086.	Npts=3	Median=8 Mean=8 p(t)=0.825626	Std=2 p(F)=0.335899	k037.fex.hot.tbl.frex-only.stats
k038.fex.hot.tbl k038.fex.hot.tbl.frex-only.cdf	k038.fex.hot.tbl.frex-only.cdf p(KS test)=0.925086.	Npts=3	Median=9 Mean=9 p(t)=1.000000	Std=1 p(F)=0.102633	k038.fex.hot.tbl.frex-only.stats
k039.fex.hot.tbl k039.fex.hot.tbl.frex-only.cdf	k039.fex.hot.tbl.frex-only.cdf p(KS test)=0.925086.	Npts=3	Median=10 Mean=9.33 p(t)=0.937147	Std=1.15 p(F)=0.133487	k039.fex.hot.tbl.frex-only.stats