This documentation is intended both for QC scientists and SciOps astronomers (who may want to ignore the technical information displayed in grey).
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NAME |
espre_dark.py
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VERSION |
1.0 -- October 2018
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SYNTAX |
PYTHON
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CALL |
processQC
from $DFS_PRODUCT/DARK/$DATE
/home/python/espre_dark.py -i -a $AB
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INSTRUMENT |
ESPRESSO
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RAWTYPE |
DARK
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PURPOSE |
QC check of raw and product dark exposures
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PROCINPUT |
raw, product, and reference dark frames
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QC1TABLE |
trending | table(s) in QC1 database:
espresso_dark
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TRENDPLOT |
trending | HealthCheck plot(s) associated to this procedure:
trend_report_DARKMEAN_HR1x1_HC.html
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QC1PAGE |
trending | associated documentation:
dark_qc1.html
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QC1PLOTS
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dark1.png
One plot for BLUE and one for RED MASTER_DARK
upper left: cuts in X direction through master
upper middle: cuts in Y direction through master
upper right: histograms of master
central left: cuts in X direction through master, central area
central middle: cuts in Y direction through master, central area
central right: row and column averages of master
lower left: master - reference frame, cut in X direction
lower middle: master - reference frame, cut in Y direction
lower right: histogram of master - reference frame
dark2.png
2D overview image of MASTER_DARK
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QC1PARAM |
QC1 parameters written in QC1 database:
QC1 DB names: dark_mean_avg | dark_mean_rms | hotpix_nb_avg | hotpix_nb_rms | hotpix_nb_tot
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ALGORITHM |
Pipeline QC parameter come per read-out port.
The QC script calculates the average and the RMS across the ports plus the total number of hot pixels.
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CERTIF |
Frames with unusual high dark values and/or an unusual structure should be rejected.
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COMMENTS |
None
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[2020-09-01T15:26:28] created by qcDocu v1.1.2, a tqs tool
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