# Copyright(c) 2009 Association of Universities for Research in Astronomy, Inc. # # GMOS example reductions script: Typical reduction of N&S longslit data # # This data processing was done to aid the data quality assessment performed # by the Gemini staff. The data processing is not designed to give the best # possible result. Better signal-to-noise and better cleaning for cosmic-ray # hits and bad pixels will most likely be possible. The user of these data # is encouraged to use the provided co-added images only as guide lines and # to re-reduce the data to obtain the best possible reduction. # # Gemini GMOS data reduction script # Observation UT date: 2005April06 # Data processor: Jen Holt, Inger Jorgensen, Kathy Roth # # Brief data description: Nod and shuffle 3 amp longslit GMOS-N # for (i=57;i<=59;i+=1) { print("N20050111S00"//i//".fits", >> "dark.list") } print("N20050406S0071.fits", >> "flat.list") print("N20050406S0075.fits", >> "flat.list") for (i=72;i<=74;i+=1) { print("N20050406S00"//i//".fits", >> "sci.list") } print("N20050508S0016.fits", >> "arc.list") # You always want to overscan correct everything. If the overscan level # is different on the science compared to the dark and you don't overscan # correct the dark correction might not work very well. gndark @dark.list gnsdark.fits rawpath="rawdir$" fl_vardq+ fl_over+ # If there is a Nod&Shuffle dark taken close in time to the science # (within a few months should be fine) There is not a need to do a bias # subtraction, because you would have to bias correct both the dark and # the science and so the bias correction effectively subtracts out when # you dark correct the science. The exception to this might be if you # are using a very very old dark, in which case you might wish to bias # correct the dark using a bias frame constructed from biases taken close # in time to when the dark was taken and similarly for the science. # Find number for "nshuffle" distance in header keyword: NODPIX note: # NODPIX will be in the science header, not the flat field header. gsflat @flat.list gnsflat.fits fl_double+ rawpath="rawdir$" fl_over+ \ fl_trim+ fl_vardq+ nshuffle=38 fl_bias- fl_dark- mdfdir="rawdir$" \ fl_detec+ bias="" fl_usegrad+ \ fl_fixpix- combflat="flat_comb" fl_keep+ verb+ gsreduce g@sci.list fl_dark+ fl_flat+ fl_bias- flat="gnsflat" \ dark="gnsdark" fl_over+ fl_trim+ fl_vardq+ bias="" \ rawpath="rawdir$" mdfdir="rawdir$" fl_gscrrej+ fl_cut- fl_gmosaic- \ fl_fixpix- fl_gsappwave- sections gs//@sci.list > gssci.list gnscombine "gssci.list" outimage="scicomb.fits" offsets="rawdir$offset_list" gmosaic flat_comb gscut mflat_comb fl_update+ gradimage=mflat_comb gsreduce scicomb.fits fl_cut+ fl_gmosaic+ fl_fixpix+ fl_gsappwave+ \ refimage="mflat_comb.fits" fl_flat- fl_bias- fl_trim- fl_over- gsreduce @arc.list fl_dark- fl_flat- fl_bias- fl_over+ fl_vardq+ \ bias="" mdfdir="rawdir$" rawpath="rawdir$" fl_trim+ gswavelength gsN20050508S0016 fl_inter- gstransform gsN20050508S0016 wavtran=gsN20050508S0016 gstransform gsscicomb wavetran=gsN20050508S0016 gsextract tgsscicomb.fits #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++