NAME

       mAddExec - Create a mosaic from images already in the same projection

SYNOPSIS

       mAddExec  [-p  imgdir]  [-n(o-areas)]  [-a  mean|median]  [-e(xact-size)]  [-d level] [-s statusfile] [-x
       TilesSizeAxis0] [-y TileSizeAxis1] [-o OverlapAxis0] [-q OverlapAxis1]  images.tbl  template.hdr  tiledir
       out.fits

DESCRIPTION

       Builds  a  series  of  outputs (which together make up a tiled output) through multiple executions of the
       mAdd modules.

OPTIONS

       -p imgdir
              Specifies path to directory containing reprojected images.  If the -p switch is not included, mAdd
              will look for the input images in the current working directory.

       -n     Co-addition ignores weighting  by  pixel  areas  and  performs  coaddition  based  only  on  pixel
              positions. Will not output an area image for the output image.

       -a type
              Select type of averaging to be done on accumulated pixel values (either mean or median).

       -e     Enables  exact  size  mode.  The  output  image will match the header template exactly, instead of
              shrinking the output to fit the data.

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

       -s statusfile
              mAdd output and errors will be written to statusfile instead of stdout.

ARGUMENTS

       images.tbl
              ASCII table (generated by mImgtbl) containing metadata for all images to be coadded.

       template.hdr
              FITS header template to be used in generation of output FITS

       tiledir
              Directory to contain output tile images and header templates

       out.fits
              Prefix for output tile images

RESULT

       If successful, mAddExec creates a set of FITS tiles covering the area described in template.hdr, as  well
       as matching "tiled" header files for each output tile.

MESSAGES

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

       ERROR  MPI initialization failed

       ERROR  Invalid argument for -x flag

       ERROR  Invalid argument for -y flag

       ERROR  Invalid argument for -o flag

       ERROR  Invalid argument for -q flag

       ERROR  Invalid argument for -a flag

       ERROR  Cannot open status file: statusfile

       ERROR  command line option was not integer

       ERROR  option cannot be negative

       ERROR  Invalid image metadata file: filename

       ERROR  Need  columns: cntr,fname, crpix1, crpix2, cdelt1, cdelt2, naxis1, naxis2, crval1, crval2 in image
              list

       ERROR  Memory allocation failed

       ERROR  Too many open files

       ERROR  Input wcsinit() failed.

       ERROR  Failed to allocate enough memory for output arrays

       ERROR  Bad WCS in header template.

       ERROR  Template file not found.

       ERROR  FITS library error

       ERROR  general error message

EXAMPLES

       The following example runs mAddExec on this set of images, generating a set of tiles  conforming  to  the
       size and overlap specified on the command line:

       $ mAddExec -p proj -x 1000 -y 1000 images.tbl template.hdr tiles tile.fits
              [struct   stat="OK",   mTileHdr_count=4,   mTileHdr_failed=0,   mTileHdr_warning=0,  mAdd_count=4,
              mAdd_failed=0, mAdd_warning=0, time=8]

       $ ls tiles
              tile_0_0.hdr

              tile_0_0.fits

              tile_0_0_area.fits

              tile_0_1.hdr

              tile_0_1.fits

              tile_0_1_area.fits

              tile_1_0.hdr

              tile_1_0.fits

              tile_1_0_area.fits

              tile_1_1.hdr

              tile_1_1.fits

              tile_1_1_area.fits

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                                         MADDEXEC(1)