Provided by: montage_6.0+dfsg-9_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.

Montage 5                                           Dec 2016                                   MCOVERAGECHECK(1)