MCOVERAGECHECK(1) | Montage | MCOVERAGECHECK(1) |
mCoverageCheck - Filter an image metadata table down to those records representing FITS files that overlap a footprint on the sky
mCoverageCheck [-s statusfile] in.tbl out.tbl -mode <parameters>
mCoverageCheck can be used to subset an image metadata table (containing FITS/WCS information or image corners) by determining which records in the table represent images that overlap with a region definition (box or circle in the sky) given on the command line.
points (used to describe a convex polygon) box circle header (area is described in a header file) point (find images that overlap one particular point on the sky) cutout (operates like box mode, but returns metadata that represents what the input images would look like after being subset to exactly match the cutout area)
points: ra1 dec1 ra2 dec2 ... raN decN (must be at least 3 vertices) box: ra dec xsize [ysize [rotation]]
where ra, dec is the center of the box, and size is in degrees. circle: ra dec radius
where ra, dec is the center of the circle, and radius is in degrees (default is 0, in which case it's treated like a point search). point: ra dec header: region.hdr (path to an ASCII header template that defines the region of interest) cutout: ra dec xsize [ysize]
where ra, dec is the center of the cutout area, and size is in degrees.
The output file out.tbl is created, with nimages records.
As input, we use this table of 2MASS atlas images. The images in this table are in two "clumps" on the sky: 3 overlapping images separated by several degrees from the other 12 overlapping images. Here we will show several ways of isolating the group of 3 images.
Each of these methods results in this output table containing only 3 records out of the original 15.
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.
Dec 2016 | Montage 5 |