mBestImage - Determine which image covers a location "best"

       images.tbl
              Input table of image metadata (as generated by mImgtbl).

       ra     RA of location of interest (in degrees)

       dec    Declination of location of interest (in degrees)

       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.

Montage 5                                           Dec 2016                                       MBESTIMAGE(1)

       Given a list of images and a position on the sky, determine which image covers the location "best" (i.e.,
       the one where the position is farthest from the nearest edge).

       Given  a  table  of  image  metadata  describing  images  covering  a  0.5  by 0.5 degree area around m31
       (2mass_m31_j.tbl), narrow it down to the image  which  includes  the  best  coverage  of  one  particular
       location:

       mBestImage 2mass_m31_j.tbl 10.7 41.2
              [struct stat="OK", file="2mass-atlas-971024n-j0080033.fits", edgedist=0.008436]

       OK     [struct stat="OK", file="filename", url="fileurl", edgedist=distance"]

       OK     [struct stat="OK", file="filename", edgedist=distance"]

       ERROR  Invalid image metadata file: images.tbl

       ERROR  Need columns: cntr and fname; ctype1 ctype2 nl ns crval1 crval2 crpix1 crpix2  cdelt1  cdelt2  and
              crota2 or cd matrix / ra dec ra1 ... dec4

       ERROR  Bad WCS for image fitsfile

       ERROR  No image covers this position.

       mBestImage - Determine which image covers a location "best"

       -d debug
              Turn on debugging to the specified level (1 or 2)

[structstat="OK",file="filename",edgedist=distance]or[structstat="OK",file="filename",url="fileurl",edgedist=distance]

       where  filename  is  the  name  of the "best" image found in images.tbl and distance is measured from the
       point of interest to the nearest edge of the image.  If the input table included a URL column, the output
       message will also include the image's URL.

       mBestImage [-d level] images.tbl ra dec