QC documentation system: QC procedure vimos_mask2ccd.py for VIMOS

This documentation is intended both for QC scientists and SciOps astronomers (who may want to ignore the technical information displayed in grey).   HOME   CRIRES FORS1 FORS2 KMOS NACO   GIRAFFE UVES XSHOOTER   ISAAC SPHERE VIMOS VISIR   HAWKI MUSE SINFONI   AMBER MIDI PIONIER   OMEGACAM VIRCAM [best viewing with style sheets and javascript enabled] vimos_bias.py vimos_dark.py vimos_detlin.py vimos_mask2ccd.py vimos_imgskyflt.py vimos_imgscrflt.py vimos_astimg.py vimos_stdimg.py vimos_nightzp.py vimos_moscal.py vimos_stdmos.py vimos_ifucal.py vimos_stdifu.py vimos_sciimg.py vimos_scimos.py vimos_sciifu.py   bottom  plots   |   contact NAME vimos_mask2ccd.py VERSION 1.0 -- August 2009 1.0.1 -- supporting numpy V1.3 and matplotlib V0.99 (2010-02-05) 1.0.2 -- skip call of scoreQC (2011-05-31) 1.0.3 -- changes needed for muc (2013-02-07) 1.0.4 -- changes for qc_imadisp v1.5 (2014-01-20) 1.0.5 -- usage of qc_imaplt (2016-02-26) SYNTAX PYTHON CALL processQC from $DFS_PRODUCT/MASK_TO_CCD/$DATE /home/vimos/python/vimos_mask2ccd.py -i -a $AB INSTRUMENT VIMOS RAWTYPE MASK_TO_CCD PURPOSE QC check on mask to CCD transformation PROCINPUT raw frame; product IMG_MASK_CCD_CONFIG QC1TABLE trending | table(s) in QC1 database: vimos_mask2ccd TRENDPLOT trending | HealthCheck plot(s) associated to this procedure: trend_report_MASK_ZERO_HC.html | trend_report_MASK_XXYY_HC.html | trend_report_MASK_XYYX_HC.html | trend_report_FOCUS_IQ_HC.html | trend_report_FOCUS_ELLIP_HC.html | trend_report_FOCUS_Q1_HC.html | trend_report_FOCUS_Q2_HC.html | trend_report_FOCUS_Q3_HC.html | trend_report_FOCUS_Q4_HC.html QC1PAGE trending | associated documentation: mask2ccd_qc1.html QC1PLOTS top mask2ccd.png raw pinhole mask image and enlarged central area QC1PARAM QC1 parameters written in QC1 database: Mask to CCD transformation: x0 | y0 | xx | xy | yy | yx | focus_temp Image quality: pinhole_count | image_quality_mean | image_quality_rms | ellipticity_mean | ellipticity_rms | orientation_mean | orientation_rms | iq_mean_cell[1-9] | iq_rms_cell[1-9] | ellip_mean_cell[1-9] | ellip_rms_cell[1-9] | orient_mean_cell[1-9] | orient_rms_cell[1-9] All parameters are calculated by the pipeline recipe. ALGORITHM The mask to CCD transformatiion is as follows: X = a(xx)*x + a(xy)*y + x0 Y = a(yx)*x + a(yy)*y + y0 with x,y being mask coordinates in mm and X,Y CCD coordinates in pixels. x0, y0: offsets in x and y direction xx, yy: scale factors between mask and CCD coordinates xy, yx: rotation coefficients From the pinhole images, also QC parameters for checking the focus are calculated. These are image quality (as FWHM in pixels of the major axis fo the pinhole ellipses), ellipticity, and orientation (of the pinhole ellipses). Each quadrant is divided into 3x3 sub cells (squares). All parameters and their standard deviations are calculated in each cell and globally per quadrant. CERTIF Reasons for rejection: only in case of known problems with mask insertion COMMENTS trending plot uses qc_imadisp.py top [2016-03-11T12:31:10]         created by qcDocu v1.1.2, a tqs tool