Hot Pixel Analysis--- 970524n

NOTE: DO NOT EDIT THIS FILE! It is generated dynamically by software.
Night/hemisphere dataset: 970524n

13 scans (in low density regions) identified for analysis:
s009 s010 s011 s012 s014 s022 s023 s024 s025 s026 s027 s044 s045

Procedures performed are outlined in Data Processing

Results

Figure 1---
Row 1: The sum (coadd=stack) of 13 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 (1-13) 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 13 FREX (>=4) images.
Following 13 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.

Histogram
cdf data file
CDF
cdf data file
p(KS test)
# PointsMedian
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=12 Median=9.5
Mean=10.8
p(t)=1.000000
Std=8.01
p(F)=1.000000
k.fex.stack.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)=0.000000.
Npts=3 Median=5
Mean=12
p(t)=1.000000
Std=13
p(F)=1.000000
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)=
Npts= Median=
Mean=
p(t)=
Std=
p(F)=
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)=
Npts= Median=
Mean=
p(t)=
Std=
p(F)=
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)=
Npts= Median=
Mean=
p(t)=
Std=
p(F)=
k012.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

k022.fex.hot.tbl
k022.fex.hot.tbl.frex-only.cdf

k022.fex.hot.tbl.frex-only.cdf
p(KS test)=0.996255.
Npts=3 Median=4
Mean=7
p(t)=0.647328
Std=5.2
p(F)=0.275510
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)=
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)=
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)=0.999342.
Npts=2 Median=6
Mean=6
p(t)=0.620381
Std=1.41
p(F)=0.153393
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)=
Npts= Median=
Mean=
p(t)=
Std=
p(F)=
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)=0.999342.
Npts=2 Median=7.5
Mean=7.5
p(t)=0.715171
Std=4.95
p(F)=0.519947
k027.fex.hot.tbl.frex-only.stats

k044.fex.hot.tbl
k044.fex.hot.tbl.frex-only.cdf

k044.fex.hot.tbl.frex-only.cdf
p(KS test)=
Npts= Median=
Mean=
p(t)=
Std=
p(F)=
k044.fex.hot.tbl.frex-only.stats

k045.fex.hot.tbl
k045.fex.hot.tbl.frex-only.cdf

k045.fex.hot.tbl.frex-only.cdf
p(KS test)=
Npts= Median=
Mean=
p(t)=
Std=
p(F)=
k045.fex.hot.tbl.frex-only.stats


Last update: 26-Aug-97 (11:33:23), Joe Mazzarella (mazz@ipac.caltech.edu )