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| qc_DARK | QCsinfo_flat.py | qc_WAVE | QCsinfo_dist.py | qc_LINE | QCsinfo_pupil.py | QCsinfo_hcao.py | qc_OBSNOD | qc_OBSJIT |
from $DFS_PRODUCT/OBSJIT/$DATE:
qc_OBSJIT -d $DATE -f $primfile
b) $primfile is the PRO.CATG=COADD_OBJ product with the _0000.fits extension.
c) raw frames are implicitely read from the AB.
d) Other products MED_COADD_OBJ, OBJ_STAR_SPECTRA, MFLAT_AVG, OBJ_CUBE_SKY are implicitely read.
sinfoni_std (TBD)
qc_SI_obsnod.html
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obsnod1.png
display STACKED intermediate product on Real Time Display
obsnod2.png
display MED_COADD_OBJ product on Real Time Display
obsnod3.png
display MFLAT_MED product on Real Time Display
obsnod4.png
display MFLAT_AVG product on Real Time Display
obsnod5.png
display SKY_CUBE product on Real Time Display
obsnod6.png
display QC_RATIO product on Real Time Display
obsnod7.png
UL: The mean (collapsed) column (red) and the column at X=2048/4 of the product frame.
UC: Two rows at Y=2048/4 (red) and Y=2048*(3/4) (blue) of the product frame
UR: A parabolic function (blue) is fit to the central part (-3 to 3 counts) of the log of the raw2-raw1 difference frame (red). Histogram of the raw3-raw2 difference frame (green).
LL: Zoom of UC
LC: The Y=500 row of the product minus the Y=500 row of a reference product. Y=600 row of the product minus the Y=600 row of a reference product. X=500 column of the master minus the X=500 column of a reference product. The reference product is renewed usually once a period or after an intervention.
LR: Histogram of the difference frame (second raw minus first raw) (red) and Gaussian fit between -3 and 3 counts (blue). Histogram of the raw3-raw2 difference frame (green)
FITSNAME, DBNAME , typical value, description:
QC.DARKMED.AVE , qc_darkmed_ave, (20.207021), Average of raw darks medians
QC.DARKMED.STDEV , qc_darkmed_stdev (1.741316), STDEV of raw darks medians
QC.RONRMS , qc_ronrms, (441.092956), RMS on Read Out Noise
QC.DARKFPN , qc_dark_fpn, (2.53823), Fixed Pattern Noise of combined frames
QC.RON1 , qc_ron1, (3.517257), Read Out Noise from first raw frame pair
QC.RON2 , qc_ron2, (3.524859), Read Out Noise from second raw frame pair
QC.BP-MAP.METHOD , qc_bpm_method, (Normal), bad pixel map method (here hot pixel map)
QC.BP-MAP.NBADPIX, qc_bpm_nbadpix, (200), number of hot pixels
NONE , qc_oes1, (0.0234), oddeven column stripe of first raw frame
NONE , qc_oes2, (0.0234), oddeven column stripe of second raw frame
NONE , qc_oes3, (0.0234), oddeven column stripe of third raw frame
NONE , qc_gaf_fpn (2.543), Fixed Pattern Noise of combined frames
qc_darkmed_ave : Average of (3) raw darks medians
qc_darkmed_stdev : STDEV of (3) raw darks medians
qc_ronrms : RMS on Read Out Noise
qc_dark_fpn : Use the window of the MASTER_DARK product frame specified by recipe command line parameters dark-qc_fpn_xmin/xmax/ymin/ymax (default is the whole chip). Take dark-qc_fpn_nsamp (default dark-qc_fpn_nsamp = 100) randomly distributed samples of (2 hsize +1)*(2 hsize +1) (default hsize = 4) sample size from MASTER_DARK. Take median of all sample stdev.
qc_ron1 : Apply the formulae of DARKFPN to the difference of the first two consecutive raw DARK frames. Convert to NDIT=1 and single raw frame (factor of sqrt(2)).
qc_ron2 As RON1 but for second pair of raw frames.
qc_bpm_method: Bad pixel map method
qc_bpm_nbadpix: All pixels above kappa * sigma, where kappa is bp_noise-thresh_sigma_fct (default = 10)
qc_oes1, (not calculated by pipeline): Of the first dark raw frame, calculate the median of all odd columns and all even columns for slitlet #25 only and derive stdev.
qc_oes2, not calculated by pipeline): As qc_oes1, but for second raw frame
qc_oes3, (not calculated by pipeline): As qc_oes1, but for third raw frame
qc_gaf_fpn, (not calculated by pipeline) generate histogram of MASTER_DARK and fit Normal distribution, read stdev.
- slitlet #25 (the #31th slitlet counted from left) might contain additional oddeven signal
- random hot/cold pixels in slitlet #31 (the #18th counted from left)
- persistance (standard star traces) could become apparent in UL quadrant at large DIT.