Provided by: montage_6.0+dfsg-6_amd64
mShrink - Re-size a FITS image
mShrink [-f] [-d level] [-h hdu] [-s statusfile] in.fits out.fits factor
A utility for reducing the size of a FITS file, by averaging blocks of pixels.
-f Fixed-size flag - specify output size of image, instead of the size of blocks of pixels to be averaged -d level Turns on debugging to the specified level (1-4). -s statusfile Output and errors are sent to statusfile instead of to stdout
in.fits Input FITS file out.fits Path to output FITS file. -h hdu Use the specified FITS extension (default is to use the first HDU with image data) factor Size of blocks, in pixels, to average. File size will be reduced by 1/factor squared. If the -f (fixed-size) flag is used, factor is the desired width of the output image.
[Normal mode]: FITS output image, reduced in size by a factor of (1/factor)^2 . [Fixed-size mode]: FITS output image of width factor
OK [struct stat="OK"] ERROR Cannot open status file: statusfile ERROR Image size factor cannot be interpreted as an real number ERROR Shrink factor factor cannot be interpreted as an real number ERROR [struct stat="ERROR", msg= ERROR Image file in.fits missing of inavlid FITS. ERROR FITS library error
$ mShrink final/out.fits final/out-lowres_5.fits 5 [struct stat="OK"]
The drizzle algorithm has been implemented but has not been tested in this release. If a header template contains carriage returns (i.e., created/modified on a Windows machine), the cfitsio library will be unable to read it properly, resulting in the error: [struct stat="ERROR", status=207, msg="illegal character in keyword"] It is best for the background correction algorithms if the area described in the header template completely encloses all of the input images in their entirety. If parts of input images are "chopped off" by the header template, the background correction will be affected. We recommend you use an expanded header for the reprojection and background modeling steps, returning to the originally desired header size for the final coaddition. The default background matching assumes that there are no non-linear background variations in the individual images (and therefore in the overlap differences). If there is any uncertainty in this regard, it is safer to turn on the "level only" background matching (the "-l" flag in mBgModel.
2001-2015 California Institute of Technology, Pasadena, California If your research uses Montage, please include the following acknowledgement: "This research made use of Montage. It is funded by the National Science Foundation under Grant Number ACI-1440620, and was previously funded by the National Aeronautics and Space Administration's Earth Science Technology Office, Computation Technologies Project, under Cooperative Agreement Number NCC5-626 between NASA and the California Institute of Technology." The Montage distribution includes an adaptation of the MOPEX algorithm developed at the Spitzer Science Center.