NAME

       mAddCube - Co-add the reprojected cubes to form the output mosaic

SYNOPSIS

       mAddCube  [-p  imgdir]  [-n(o-areas)]  [-a  mean|median|count] [-e(xact-size)] [-d level] [-s statusfile]
       images.tbl template.hdr out.fits

DESCRIPTION

       Coadd the reprojected cubes in an input list to form an output mosaic with FITS header keywords specified
       in a header file. Creates two output files, one containing the coadded pixel values for each cube  plane,
       and  the  other  containing  coadded  pixel area values. The pixel area values can be used as a weighting
       function if the output cube values are themselves to be coadded with other projected cubes, and may  also
       be used in validating the fidelity of the output pixel values.

OPTIONS

       -p imgdir
              Specifies  path  to  directory  containing  reprojected images.  If the -p switch is not included,
              mAddCube 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).   To
              generate a map showing counts of how many times each pixel was overlapped by the input images, use
              count.

       -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
              mAddCube 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.   For  cubes,
              mImgtbl  needs  to  be  run  with the -C option which picks up the third dimension parameters (and
              fourth if they exist).

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

       out.fits
              Name of output FITS image.

RESULT

       If successful, mAddCube creates a FITS datacube file out.fits that is a coadd of all the  FITS  cubes  in
       the  table  images.tbl,  according  to  the header template given.  A corresponding out_area.fits is also
       created.

MESSAGES

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

       ERROR  Invalid argument for -a flag

       ERROR  Cannot open status file: statusfile

       ERROR  Invalid image metadata file: filename

       ERROR  Need columns: cntr,fname, crpix1, crpix2, cdelt1, cdelt2, naxis1, naxis2, crval1,  crval2,  naxis3
              in image list

       ERROR  Too many open files

       ERROR  Input wcsinit() failed.

       ERROR  Bad WCS in header template.

       ERROR  FITS library error

       ERROR  general error message

       ERROR  Allocation failed for file info (realloc)

       ERROR  Allocation failed for file info structs

       ERROR  Allocation failed for area file info structs

       ERROR  Allocation failed for input buffer

       ERROR  Allocation failed for input area buffer

       ERROR  Allocation failed for start/end info

       ERROR  Allocation failed for data line pointers

       ERROR  Allocation failed for data line

       ERROR  Allocation failed for area line pointers

       ERROR  Allocation failed for area line

       ERROR  Allocation failed for data counts

       ERROR  Allocation failed for output data line

       ERROR  Allocation failed for output area line

       ERROR  Allocation failed for data line (realloc)

       ERROR  Allocation failed for area line (realloc)

       ERROR  Allocation failed for median array

       ERROR  Allocation failed for median array (realloc)

       ERROR  Allocation failed for linked list structs

       ERROR  Allocation failed for linked list structs (additions)

EXAMPLES

       The  following  example  runs mAddCube on 4 FITS images, generating the output file mosaic.fits.  Related
       files are images.tbl and template.hdr.

       $ mAddCube -p proj images.tbl template.hdr output/mosaic.fits
              [struct stat="OK", time=1]

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                                        MADDCUBE(1)