Provided by: montage_6.0+dfsg-7build8_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.