Some of the Kitt Peak data contains bias jumps, and the only way of getting rid of these is by using a ridiculously high order to fit the overscan: 3900 order function spline3 does fine, and doesn't seem to have a bad affect on data without the bias jumps, so we adopt that.
We assume that the calibration data (Zero frame Zeron1,
master flats master*..., crosstalk file xtalk*.dat)
are sitting in some subdirectory,
so we begin by doing a:
set z="/data0/massey/Calib_Oct00/"
Then:
files obj*%.fits%% > all
creates the file "all" containing the root image names (minus the ".fits").
PACKAGE = mscred TASK = ccdproc images = @all List of Mosaic CCD images to process (output = ) List of output processed images (bpmasks= @all) List of output bad pixel masks (ccdtype= object) CCD image type to process (noproc = no) List processing steps only? (xtalkco= yes) Apply crosstalk correction? (fixpix = yes) Apply bad pixel mask correction? (oversca= yes) Apply overscan strip correction? (trim = yes) Trim the image? (zerocor= yes) Apply zero level correction? (darkcor= no) Apply dark count correction? (flatcor= yes) Apply flat field correction? (sflatco= no) Apply sky flat field correction? (merge = yes) Merge amplifiers from same CCD? (xtalkfi= z$xtalk*.dat) Crosstalk file (fixfile= BPM) List of bad pixel masks (saturat= !SATURATE) Saturated pixel threshold (sgrow = 0) Saturated pixel grow radius (bleed = mean+5000) Bleed pixel threshold (btrail = 20) Bleed trail minimum length (bgrow = 0) Bleed pixel grow radius (biassec= image) Overscan strip image section (trimsec= image) Trim data section (zero = z$Zero*.fits) List of zero level calibration images (dark = ) List of dark count calibration images (flat = z$master*.fits) List of flat field images (sflat = ) List of secondary flat field images (minrepl= 1.) Minimum flat field value (interac= no) Fit overscan interactively? (functio= spline3) Fitting function (order = 3900) Number of polynomial terms or spline pieces (sample = *) Sample points to fit (naverag= 1) Number of sample points to combine (niterat= 1) Number of rejection iterations (low_rej= 3.) Low sigma rejection factor (high_re= 3.) High sigma rejection factor (grow = 0.) Rejection growing radius (fd = ) (fd2 = ) (mode = ql)