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 |
sci_mos_qc.prg
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VERSION |
1.0 -- adapted for new pipeline (SM, 10/2006_
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SYNTAX |
MIDAS
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CALL |
measureQuality
from $DFS_PRODUCT/SCI_MOS/$DATE:
inmidas -P -j "@@ $DFO_PROC_DIR/sci_mos_qc.prg $date $PF"
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INSTRUMENT |
FORS2
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RAWTYPE |
SCI_MOS
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PURPOSE |
compares raw and product SCI_MOS files
for FORS2 QC assessment; the plots are later reviewed
within certifyProducts and stored in $DFO_PLT_DIR.
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PROCINPUT |
raw image from AB; SCI_MOS product;
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QC1TABLE |
trending | table(s) in QC1 database:
fors2_sci_mos
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TRENDPLOT |
trending | HealthCheck plot associated to this procedure: none
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QC1PAGE |
trending | associated documentation: none
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QC1PLOTS
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sci_mos_grap1.png
extracted, sky-subtracted spectra of 4 brightest sources (black) with error spectrum (red) and extracted sky background for brightest objects (green)
sci_mos_grap2.png
position of a bright sky line along the slitlets
sci_mos_disp1.png
full display of reduced frame
sci_mos_disp2.png
full display of raw frame
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QC1PARAM |
QC1 parameters written into QC1 table:
QC1db names: skyline_position | skyline_rms | skyline_offset | skyline_number | avg_accuracy
QC1 params created by pipeline: avg_accuracy (from wavelength calibration data)
QC1 params created by this procedure: all others
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ALGORITHM |
Description of algorithms:
The whole rebinned frame is searched for emission lines. Then lines within +/- 1 pixel around skyline_position are selected and their offset with respect to the reference line is determined.
The mean and rms of these offsets are stored in skyline_offset and skyline_rms.
The number of skylines used is stored in skyline_number
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CERTIF |
Reasons for rejection:
- many missing slitlets or many slitlets with bad wavelength calibration
- many curved slitlets
If only a few slitlets are missing or badly calibrated (offsets in sky lines, curved lines) just add a comment and certify.
skyline offsets of more than 0.3 pixels violate the nominal calibration accuracy,
but may be due to temperature differences between science and calibration data and
are no cause for rejection
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COMMENTS |
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[2015-11-05T15:19:19] created by qcDocu v1.1.2, a tqs tool
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