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 |
vimos_bias.py
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VERSION |
0.9 -- April 2015
1.0 -- accept both IMG_PHOT_COMBINED and IMG_OBJ_COMBINED as products (2015-10-26)
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SYNTAX |
PYTHON
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CALL |
processQC
from $DFS_PRODUCT/STD_IMG/$DATE or $DFS_PRODUCT/STD_CORO/$DATE
/home/vimos/python/visir_img_std.py -i -a $AB
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INSTRUMENT |
VISIR
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RAWTYPE |
STD_IMG and STD_CORO
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PURPOSE |
QC checks on raw frames and products from standard stars in imaging
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PROCINPUT |
raw STD frames and combined product
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QC1TABLE |
trending | table(s) in QC1 database:
visir_zp_img
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TRENDPLOT |
trending | HealthCheck plot(s) associated to this procedure:
trend_report_SENS_HC.html |
trend_report_SENS_Q_HC.html |
trend_report_CONVER_HC.html |
trend_report_CONVER_Q_HC.html |
trend_report_BACKGD_N_HC.html |
trend_report_BACKGD_Q_HC.html |
trend_report_IQ_HC.html |
trend_report_IQ_corr_HC.html
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QC1PAGE |
trending | associated documentation:
stdimg_qc1.html
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QC1PLOTS
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std_img1.png
upper left panel: cut through combined image in X direction
upper middle panel: cut through combined image in Y direction
upper right panel: histrogram of combined image
central left panel: cut through combined image in X direction, central area
central middle panel: cut through combined image in Y direction, central area
central right panel: central area of combined image
std_img2.png
left panel: complete combined image
right panel: central area of combined image
std_coro1.png
same, example observation with coronographic mask
std_coro2.png
same, example observation with coronographic mask
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QC1PARAM |
QC1 parameters written in QC1 database:
QC1 DB names: sensit | conver | backgd_mean | backgd_sigma | fwhmx | fwhmy
All parameters are calculated by the pipeline recipe.
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ALGORITHM |
Description of algorithms:
sensit: sensitivity, the estimated limiting flux expected in an 1 hour
on-source integration of a point source detected with S/N of 10.
Units: mJy at 10 sigma in 1 hour
conver: conversion factor between ADU and Jy.
F(total observed) / F(model) in ADU/Jy, where F(total observed) is the measuered
and F(model) is the predicted flux
backgd_mean: background level determined from the half-cycle frames
backgd_sigma: noise of the background level
fwhmx: FWHM (in pixels) of the fitted profile in X direction
fwhmy: FWHM (in pixels) of the fitted profile in Y direction
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CERTIF |
Reasons for rejection:
extremely weak or invisible star
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COMMENTS |
NONE
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[2015-10-29T10:49:11] created by qcDocu v1.1.2, a tqs tool
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