SYNOPSIS
mSubimage [-d] [-a] [-h hdu] [-s statusfile] in.fits out.fits ra dec xsize [ysize]mSubimage -p [-d] [-h hdu] [-s statusfile] in.fits out.fits xstartpix ystartpix xpixsize [ypixsize]
DESCRIPTION
Creates a subimage (or "cutout") of a FITS file. Note that in "normal" mode,all the parameters (location and size) are in degrees; in pixel (-p) mode, all of
them are in pixels
OPTIONS
- -d
- Turns on debugging.
- -a
- All pixels - Force retrieval of whole image (useful to extract an entire HDU)
- -h hdu
- Operate on the specified FITS header extension (HDU)
- -s statusfile
- Output and errors are sent to statusfile instead of to stdout
- -p
-
Pixel mode - create subimage using pixel locations, instead of a location on the sky
ARGUMENTS
- in.fits
- Input FITS file.
- out.fits
- Path to output FITS file.
- ra
- In normal mode, RA of center of output image.
- dec
- In normal mode, declination of center of output image.
- xstartpix
- In pixel mode, pixel along the x-axis where the cutout image will begin
- ystartpix
- In pixel mode, pixel along the y-axis where the cutout image will begin
- xsize
- In normal mode, width of output image in degrees.
- ysize
- In normal mode, height of output image in degrees (default is equal to xsize.
- xpixsize
- In pixel mode, width of output image in pixels
- ypixsize
-
In pixel mode, height of output image in pixels (default is equal to xpixsize
RESULT
[struct stat="OK", content="blank, flat or normal"]The content keyword indicates whether all pixels where NaN (blank), all pixels were the same value (flat), or the image appears to be normal.
MESSAGES
- OK
- [struct stat="OK", content="blank, flat or normal"]
- ERROR
- HDU value (hdu) must be a non-negative integer
- ERROR
- Cannot open status file: statusfile
- ERROR
- Center RA string (string) cannot be interpreted as a real number
- ERROR
- Center Dec string (string) cannot be interpreted as a real number
- ERROR
- X size string (string) cannot be interpreted as a real number
- ERROR
- Y size string (string) cannot be interpreted as a real number
- ERROR
- Invalid 'x' size
- ERROR
- Invalid 'y' size
- ERROR
- Image file filename missing or invalid FITS
- ERROR
- Cannot find HDU hdu
- ERROR
- Output wcsinit() failed.
- ERROR
- Location is off image
- ERROR
- Region outside image
- ERROR
- No pixels match area.
- ERROR
- Can't create output file: out.fits
- ERROR
-
FITS library error
EXAMPLES
- $ mSubimage image1.fits subimage.fits 307.9 37.29 .01 .01
-
[struct stat="OK", content="normal"]
BUGS
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.
COPYRIGHT
2001-2015 California Institute of Technology, Pasadena, CaliforniaIf 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.