This work: /home/sco/ACM_work_Oct2019/red_20191022/Test1
Date rejection work for zpandsky
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The phot routine, near the end of its work, produces a table
file with basename: ${basename}_ZP
Note: This table is built with: zpmido_table_markII ${basename}.fits ZP
For our example with 20191022T025524.2_acm_sci.fits these fiels are:
20191022T025524.2_acm_sci_ZP.params,parlab,table
We can inspect our ZP,SKY data space in a way where we can view images with:
table_ds9_panner 20191022T025524.2_acm_sci_ZP 20191022T025524.2_acm_sci.fits Xcen Ycen ZPSEC MeanSky
In this example I view the parameter and find a clump of "valid" points
thate would indicate good values of:
ZPSEC = -2.76438
MeanSky = 62.2678 adu
I can use the b (box) option to mark these points in a box.
The marked points are in: xyf.in
Here is an example of the top of this file:
Keys for icurs5.py
ZP for 1-sec [= mstan-{m30+2.5log(Texp)} ]
Average value in sky annulus (adu)
-99.0000 1263.1650 0 1
-2.6924 115.6200 0 2
-99.0000 81.0960 0 3
-2.7434 78.7610 1 4
-2.7294 79.7960 1 5
-2.7494 66.4100 1 6
What we want to do is average the points maeked in column 3 with "1".
s I use the code: point_selector_stats.sh
Usage: point_selector_stats.sh xyf.in X 0 N
arg1 - name of xyf.in-type file (usually xyf.in)
arg2 - Axis to to analyzed (X or Y) )
arg3 - flag value to be pulled (usually 0 or 1)
arg4 - run in debug/verbose mode (Y/N)
Hence to get my stats for the manually isolated points:
% point_selector_stats.sh xyf.in X 1 N
-2.76508 -2.76490 0.06190 0.01170 28 (mean,mediam,sig,me,n)
% point_selector_stats.sh xyf.in Y 1 N
63.62451 62.91000 5.34211 1.00956 28 (mean,mediam,sig,me,n)
If I were taking the median as the value, and me as the error I would
say my best values are:
ZPSEC = -2.76490 -+ 0.01170
SKY = 62.91000 -+ 1.00956
How does this compare to what my current version of zpandsky.sh gives?
Usage: zpandsky.sh 20191022T025524.2_acm_sci_ZP N
arg1 - baseame of FITS image measured
arg2 - run in verbose/debug mode (Y/N)
% zpandsky.sh 20191022T025524.2_acm_sci_ZP N
-2.7669 0.0648 32 63.6460 2.2699 32 (zp,zperr,nz,sky,skyerr,ns)
Here we would get:
ZPSEC = -2.7669 -+ 0.0648
SKY = 63.6460 -+ 2.2699