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 postions.
              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 3.3                                         June 2010                                        MADDEXEC(1)