Provided by: montage_6.0+dfsg-6build3_amd64 bug

NAME

       mCoverageCheck  -  Filter  an  image  metadata  table  down to those records representing FITS files that
       overlap a footprint on the sky

SYNOPSIS

       mCoverageCheck [-s statusfile] in.tbl out.tbl -mode <parameters>

DESCRIPTION

       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.

OPTIONS

       -s statusfile
              Output and errors are sent to statusfile instead of to stdout

       -mode  Can be one of:

              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)

       in.tbl Input metadata table.

       out.tbl
              Output metadata table, to contain subset of in.tbl.

       parameters
              Depends on mode as following:

              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.

RESULT

       The output file out.tbl is created, with nimages records.

MESSAGES

       OK     [struct stat="OK", count=n]

       ERROR  Cannot open status file: statusfile

       ERROR  Invalid region definition mode: string

       ERROR  Too few vertices for region (must be at least three)

       ERROR  Longitude n (string) cannot be interpreted as a real number

       ERROR  Latitude n (string) cannot be interpreted as a real number

       ERROR  Failed to find bounding polygon for points

       ERROR  Too few arguments for box or cutout (must at least have center and size)

       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 box size string (string) cannot be interpreted as a real number

       ERROR  X box size (string) must be a positive number

       ERROR  Y box size string (string) cannot be interpreted as a real number

       ERROR  Y box size (string) must be a positive number

       ERROR  Box rotation string (string) cannot be interpreted as a real number

       ERROR  Must give header file name

       ERROR  Failed to find bounding polygon for points

       ERROR  Too few arguments for circle (must at least have center)

       ERROR  Circle radius string (string) cannot be interpreted as a real number

       ERROR  Too few arguments for point (must have coordinates)

       ERROR  Point RA string (string) cannot be interpreted as a real number

       ERROR  Point Dec string (string) cannot be interpreted as a real number

       ERROR  Error opening table filename

       ERROR  Cannot create output file filename

       ERROR  Need either WCS or corner columns.

       ERROR  Failed to create wcs structure for record n

EXAMPLES

       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.

       $ mCoverageCheck images.tbl circle.tbl -circle 262.78208 -35.03049 1.0
              [struct stat="OK", count="3"]

       $ mCoverageCheck images.tbl box.tbl -box 262.84948 -34.81197 1.0
              [struct stat="OK", count="3"]

       $ mCoverageCheck images.tbl points.tbl -points 263.3796 -34.48881 262.15127 -34.51032 262.90267 -35.38753
              [struct stat="OK", count="3"]

       $ mCoverageCheck images.tbl point.tbl -point 262.78208 -35.03049
              [struct stat="OK", count="3"]

       Each of these methods results in this output table containing only 3 records out of the original 15.

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, 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.