Provided by: montage_6.0+dfsg-6_amd64 bug


       mCatMap - Point-source imaging program


       mCatMap [-c column] [-m refmag] [-d level] [-w size] in.tbl out.fits hdr.template


       mCatMap  is a point-source imaging program.  The user defines a general output FITS image,
       and its pixels are populated from a table of point sources.  The source  fluxes  (or  just
       source  counts)  from  the  table are added into the appropriate pixel to create an output


       -c column
              Name of the table column that contains flux levels.  If not specified, pixels  will
              be populated with source counts rather than summed flux values.

       -m refmag
              Set a reference magnitude to use when calculating fluxes.

       -d level
              Turn on debugging to the specified level (1-3)

       -w size
              Set  a spread size for point sources (default is to use no spread).  Allowed values
              are 3 or 5.


       in.tbl Input table of source metadata.

              Path of output FITS file.

              ASCII header template defining output FITS file.


       [struct stat="OK", time=seconds]


       OK     [struct stat="OK", time=seconds]

       ERROR  Can't open input table in.tbl

       ERROR  Can't find column 'ra'

       ERROR  Can't find column 'dec'

       ERROR  Can't find column 'column'

       ERROR  Output wcsinit() failed

       ERROR  Template file not found


       To create an image showing the 2MASS point source fluxes  (2mass_pt.tbl)  in  a  2  square
       degree area defined by 2mass_pt.hdr:

       mCatMap -c flux 2mass_pt.tbl 2mass_pt.fits 2mass_pt.hdr
              [struct stat="OK", time=4]

       Output image:


       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

       The Montage distribution includes an adaptation of the MOPEX algorithm  developed  at  the
       Spitzer Science Center.