qrdir = /work/quickreduce/from_laptop/merge_master_py3/ prep: dfits 2024.04.16/*/*33.fits* | fitsort OBJECT FILTER EXPTIME EXPMEAS > all.list grep scp all.list > cals_scp.list cals: $(qrdir)/podi_makecalibrations.py cals_scp.list cals/ -autorotateflat -nonlinearity -keep reduce: # $(qrdir)/podi_multicollect.py -fromfile=seq1.list -formatout=reduced/%OBSID__%OBJECT__%FILTER__%EXPTIME.fits -nonlinearity -fixwcs -photcalib -nootalevelplots -crj=3 -cals=may2023cals/ $(qrdir)/podi_multicollect.py -fromfile=sci.list -formatout=reduced/%OBSID__%OBJECT__%FILTER__%EXPTIME.fits -nonlinearity -fixwcs -photcalib -nootalevelplots -crj=3 -cals=may2023cals/ reduce2: # $(qrdir)/podi_multicollect.py -fromfile=seq1.list -formatout=reduced/%OBSID__%OBJECT__%FILTER__%EXPTIME.fits -nonlinearity -fixwcs -photcalib -nootalevelplots -crj=3 -cals=may2023cals/ $(qrdir)/podi_multicollect.py -fromfile=night2.list -formatout=reduced_0419/%OBSID__%OBJECT__%FILTER__%EXPTIME.fits -nonlinearity -fixwcs -photcalib -nootalevelplots -crj=3 -cals=may2023cals/ reduce_0519: $(qrdir)/podi_multicollect.py -fromfile=input_0519.list -formatout=reduced_0519/%OBSID__%OBJECT__%FILTER__%EXPTIME.fits -nonlinearity -fixwcs -photcalib -nootalevelplots -crj=3 -cals=may2023cals/ reduce_0527: $(qrdir)/podi_multicollect.py -fromfile=input_0527.list -formatout=reduced_0527/%OBSID__%OBJECT__%FILTER__%EXPTIME.fits -nonlinearity -fixwcs -photcalib -nootalevelplots -crj=3 -cals=may2023cals/ reduce_0601: $(qrdir)/podi_multicollect.py -fromfile=input_0601.list -formatout=reduced_0601/%OBSID__%OBJECT__%FILTER__%EXPTIME.fits -nonlinearity -fixwcs -photcalib -nootalevelplots -crj=3 -cals=may2023cals/ reduce_0616: $(qrdir)/podi_multicollect.py -fromfile=input_0616.list -formatout=reduced_0616/%OBSID__%OBJECT__%FILTER__%EXPTIME.fits -nonlinearity -fixwcs -photcalib -nootalevelplots -crj=3 -cals=may2023cals/ reduce_20250207: # ls -1 2025.02.07/o*/*33.fits > input_20250207.list $(qrdir)/podi_multicollect.py -fromfile=input_20250207.list -formatout=reduced_20250207/%OBSID__%OBJECT__%FILTER__%EXPTIME.fits -nonlinearity -fixwcs -photcalib -nootalevelplots -crj=3 -cals=may2023cals/ reduce_20250210: # ls -1 2025.02.10/o*/*33.fits > input_20250210.list $(qrdir)/podi_multicollect.py -fromfile=input_20250210.list -formatout=reduced_20250210/%OBSID__%OBJECT__%FILTER__%EXPTIME.fits -nonlinearity -fixwcs -photcalib -nootalevelplots -crj=3 -cals=may2023cals/ reduce_night3: $(qrdir)/podi_multicollect.py \ -fromfile=night_0428.list \ -formatout=reduced_0428/%OBSID__%OBJECT__%FILTER__%EXPTIME.fits \ -nonlinearity \ -fixwcs \ -photcalib \ -nootalevelplots \ -crj=3 \ -cals=may2023cals/ illumcorr_g: $(qrdir)/podi_illumcorr.py \ -create \ illumcorr_g1.fits \ reduced/*odi_g__50.0.fits illumcorr_r: $(qrdir)/podi_illumcorr.py \ -create \ illumcorr_r.fits \ reduced/*odi_r__180.0.fits \ reduced/*odi_r__120.0.fits _matchswarp = $(qrdir)/podi_swarpstack.py \ -pixelscale=0.4 \ -combine=weighted,sigmaclipmean,sigmaclipmedian \ -rmguideota \ -huge # -skipota=45,56 _swarp = $(_matchswarp) -normsky -targetzp=median stack_g: $(_swarp) stacks/sequence_g1.fits -bgsub=IC,illumcorr_g1.fits @seq1_reduced.list # prepare filelist # ls -1 reduced_0419/*__[A-M]g_exposure__odi_g__40.0.fits > 0419_seq1_g.list # for stacking use this one as template stack_template: $(_swarp) stacks/output_filename.fits -bgsub @input_files.list stack_0428: # $(_swarp) stacks/sequence_0428.fits -bgsub @night_0428.list # $(_swarp) stacks/sequence_0428.fits -bgsub @stack_0428_seq1_g.list $(_swarp) stacks/sequence_0428_g1.fits -bgsub @stack_0428_seq1_g.list $(_swarp) stacks/sequence_0428_i1.fits -bgsub @stack_0428_seq1_i.list $(_swarp) stacks/sequence_0428_g2.fits -bgsub @stack_0428_seq2_g.list stack_5D: $(_swarp) stacks/sequence_0419_5D.fits -bgsub @dither_5D.list # run stack ngc6384: # $(_matchswarp) -preswarponly stacks/ngc6384/ngc6384_ref.fits @ngc6384_r.list @ngc6384_ha.list $(_swarp) -reference=stacks/ngc6384/ngc6384_ref.fits stacks/ngc6384/ngc6384_ha.fits -bgsub=IC,illumcorr_nb659.fits @ngc6384_ha.list $(_swarp) -reference=stacks/ngc6384/ngc6384_ref.fits stacks/ngc6384/ngc6384_r.fits -bgsub=IC,illumcorr_r.fits @ngc6384_r.list ngc3395: $(_matchswarp) -preswarponly stacks/ngc3395/ngc3395_ref.fits @ngc3395_r.list @ngc3395_ha.list $(_swarp) -reference=stacks/ngc3395/ngc3395_ref.fits stacks/ngc3395/ngc3395_ha.fits -bgsub=IC,illumcorr_nb659.fits @ngc3395_ha.list $(_swarp) -reference=stacks/ngc3395/ngc3395_ref.fits stacks/ngc3395/ngc3395_r.fits -bgsub=IC,illumcorr_r.fits @ngc3395_r.list ngc4151: $(_matchswarp) -preswarponly stacks/ngc4151/ngc4151_ref.fits @ngc4151_r.list @ngc4151_ha.list $(_swarp) -reference=stacks/ngc4151/ngc4151_ref.fits stacks/ngc4151/ngc4151_ha.fits -bgsub=IC,illumcorr_nb659.fits @ngc4151_ha.list $(_swarp) -reference=stacks/ngc4151/ngc4151_ref.fits stacks/ngc4151/ngc4151_r.fits -bgsub=IC,illumcorr_r.fits @ngc4151_r.list ngc4214: $(_matchswarp) -preswarponly stacks/ngc4214/ngc4214_ref.fits @ngc4214_r.list @ngc4214_ha.list $(_swarp) -reference=stacks/ngc4214/ngc4214_ref.fits stacks/ngc4214/ngc4214_ha.fits -bgsub=IC,illumcorr_nb659.fits @ngc4214_ha.list $(_swarp) -reference=stacks/ngc4214/ngc4214_ref.fits stacks/ngc4214/ngc4214_r.fits -bgsub=IC,illumcorr_r.fits @ngc4214_r.list prep2025: $(_matchswarp) -preswarponly stacks_2025/ref.fits reduced_202502??/*.fits g1_20250207: $(_swarp) -reference=stacks_2025/ref.fits stacks_2025/stack_20250207_g1.fits -bgsub @stack_20250207_g1.list i_20250210: $(_swarp) -reference=stacks_2025/ref.fits stacks_2025/stack_20250210_i.fits -bgsub @stack_20250210_odi_i.list