QC documentation system: QC procedure visir_dark.py for VISIR

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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visir_dark.py visir_img_std.py visir_spc_std.py
 
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NAME visir_dark.py
VERSION 1.0 -- April 2015
SYNTAX PYTHON
CALL processQC
from $DFS_PRODUCT/DARK_IMG/$DATE or $DFS_PRODUCT/DARK_SPEC/$DATE
/home/vimos/python/vimos_dark.py -i -a $AB
INSTRUMENT VISIR
RAWTYPE DARK_IMG and DARK_SPEC
PURPOSE QC check on raw and master dark frames
PROCINPUT raw dark frames and IMG_DARK_AVG/SPEC_DARK_AVG product
QC1TABLE trending | table(s) in QC1 database:
visir_dark_img | visir_dark_spc
TRENDPLOT trending | HealthCheck plot(s) associated to this procedure:
trend_report_RON_HC.html | trend_report_DARK_HC.html | trend_report_TEMP_HC.html
QC1PAGE trending | associated documentation:
dark_qc1.html
QC1PLOTS
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dark_img.png
Example plot for imaging detector
upper left panel: cuts through first raw frame, last raw frame, and master dark in X direction
upper middle panel: cuts through first raw frame, last raw frame, and master dark in Y direction
upper right panel: histrogram of master
central left panel: cuts through first raw frame, last raw frame, and master dark in X direction, central area
central middle panel: cuts through first raw frame, last raw frame, and master dark in Y direction, central area
central right panel: row and column averages of master

dark_spc.png
same, for spectroscopic detector
QC1PARAM QC1 parameters written in QC1 database:
QC1 DB names: ron1 | ron2 | darkmed | nbcolpix | nbhotpix | nbdevpix
All parameters are calculated by the pipeline recipe.
ALGORITHM Description of algorithms:
ron1: read-out noise from raw2-raw1. It is the median of the standard deviations measured from 100 4x4 windows on the difference frame, multiplied by sqrt(NDIT/2).
ron2: same as ron1 but from raw3-raw2
darkmed: medium dark level
nbcolpix: number of cold pixels
nbhotpix: number of hot pixels
nbdevpix: number of deviant pixels
CERTIF Only used for Health Check monitoring, not for data reduction.
COMMENTS NONE
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