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 Problem with mscred flatcombine
   
jonh
 11/14/2013 01:33PM (Read 2311 times)  
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Registered: 11/14/2013
Posts: 1
Hi,

I'm trying to use flatcombine to process some data but I'm getting an error.

ERROR: Error processing ccd.013.fits
"ccdproc (ims, output="", bpmasks="", ccdtype=ccdtype, noproc=no)"
line 38: mccdred$flatcombine.cl
called as: 'flatcombine ()'

I'm new to this but it looks like it's trying to call tasks from ccdred rather than mscred. These are the parameters I'm using for ccdproc and flatcombine. I'd be grateful for any help.

cl\$this->_split2($m[0]) epar ccdproc
PACKAGE = mscred
TASK = ccdproc

images = List of Mosaic CCD images to process
(output = ) List of output processed images
(bpmasks= ) List of output bad pixel masks
(ccdtype= ) 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= no) Apply flat field correction?
(sflatco= no) Apply sky flat field correction?
(split = no) Use split images during processing?
(merge = no) Merge amplifiers from same CCD?
(xtalkfi= !xtalkfil) Crosstalk file
(fixfile= BPM) List of bad pixel masks
(saturat= !saturate) Saturated pixel threshold
(sgrow = 1) Saturated pixel grow radius
(bleed = INDEF) Bleed pixel threshold
(btrail = 15) Bleed trail minimum length
(bgrow = 1) Bleed pixel grow radius
(biassec= !biassec) Overscan strip image section
(trimsec= !trimsec) Trim data section
(zero = medZero) List of zero level calibration images
(dark = ) List of dark count calibration images
(flat = ) List of flat field images
(sflat = ) List of secondary flat field images
(minrepl= 0.9) Minimum flat field value

(interac= no) Fit overscan interactively?
(functio= legendre) Fitting function
(order = 1) 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)



PACKAGE = mscred
TASK = flatcombine

input = @domeflats.list List of flat field images to combine
(output = DFlat) Output flat field root name
(combine= average) Type of combine operation
(reject = ccdclip) Type of rejection
(ccdtype= ) CCD image type to combine
(process= yes) Process images before combining?
(subsets= yes) Combine images by subset parameter?
(delete = no) Delete input images after combining?
(scale = mode) Image scaling
(statsec= ) Image section for computing statistics
(nlow = 1) minmax: Number of low pixels to reject
(nhigh = 1) minmax: Number of high pixels to reject
(nkeep = 1) Minimum to keep (pos) or maximum to reject (neg)
(mclip = yes) Use median in sigma clipping algorithms?
(lsigma = 3.) Lower sigma clipping factor
(hsigma = 3.) Upper sigma clipping factor
(rdnoise= RDNOISE) ccdclip: CCD readout noise (electrons)
(gain = GAIN) ccdclip: CCD gain (electrons/DN)
(snoise = 0.) ccdclip: Sensitivity noise (fraction)
(pclip = -0.5) pclip: Percentile clipping parameter
(blank = 1.) Value if there are no pixels
(mode = ql)

Thanks!

 
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fitz
 11/14/2013 03:52PM  
AAAAA
Admin

Status: offline


Registered: 09/30/2005
Posts: 4040
A similar question was asked at

https://iraf.net/forum/viewtopic.php?forum=5&showtopic=1466983

If that doesn't help identify the problem please post back and I'm sure Frank will reply.

 
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