MPROJEXEC(1) | Montage | MPROJEXEC(1) |
mProjExec - Re-project and mosaic your images, with background rectification
mProjExec [-q] [-p rawdir] [-d] [-e] [-X] [-b border] [-r restartrec] [-s statusfile] [-x scaleColumn] images.tbl template.hdr projdir stats.tbl
An executive which runs mProject (or, if possible for the input/output projections, mProjectPP) for each image in an image metadata table. In the case of data cubes, mProjectCube will be used.
[struct stat="OK", count=16, failed=0, nooverlap=0]
For each input file name.fits in the table images.tbl, mProjExec creates a corresponding name.fits and name_area.fits in the directory projdir.
nimages is the number of images successfully processed, nfailed is the number of images mProject was unable to process, and noutside is the number of images that did not overlap with the given template.hdr.
The file stats.tbl is an ASCII table containing the filename, status, and time for each file.
The following example runs mProjExec on a directory containing 16 images. The -f switch specifies that mProjExec will use mProjectPP to reproject the files, as opposed to mProject. Relevant files are images.tbl, generated by mImgtbl, and template.hdr. Files will be created in the directory projdir.
See output file stats.tbl.
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 |