Documentation on mostess

Task: mostess
Purpose: Maximum Entropy deconvolution for a mosaiced observation
Categories: deconvolution

        MOSMANY performs a joint maximum entropy deconvolution of a
        collection of dirty images from a mosaiced experiment.

Key: map
        The input dirty maps. No default.

Key: beam
        The input dirty beams. No default.

Key: default
        Default image name. The default is a flat image.

Key: model
        Name of the initial estimate. Default is a flat initial estimate.

Key: out
        The name of the output map.

Key: niters
        The maximum number of iterations. The default is 30.

Key: measure
        The entropy measure to be used, either "gull" (-p*log(p/e)) or
        "cornwell" (-log(cosh(p)) -- also called the maximum emptiness
        criteria).

Key: tol
        Tolerance of solution. There is no need to change this from the
        default of 0.01.

Key: q
        An estimate of the number of points per beam. MOSMEM can usually
        come up with a good, image-dependent estimate.

Key: rmsfac
        MOSTESS knows the theoretical rms noise of the input dirty maps, and 
        will, by default, attempt to reduce the residuals to have an rms of
        this amount. If the true rms noise is different from the theoretical,
        you may give the factor to multiply by to convert from theoretical
        to true rms noise.

        The theoretical rms will usually be an optimistic estimate of the
        true noise level. The true noise will be increased by calibration
        errors, confusion, poorly understood distant sidelobes, etc, so
        rmsfac will usually give some `fudge factor' greater than 1.

Key: flux
        An estimate of the total flux of the source. Giving a good total flux
        will help MOSMEM find a good solution. On the other hand, giving
        a poor value may do harm. Normally MOSMEM will NOT constrain the
        total flux to be this value, but see the ``doflux'' option below.
        The default is image-dependent for measure=gull, and zero for
        measure=cornwell.

Key: options
        Task enrichment parameters. Several can be given, separated by
        commas. Minimum match is used. Possible values are:
          doflux     Constraint the flux to be that given by the "flux"
                     parameter. Normally the "flux" parameter value is only
                     used to determine the default image level.
          verbose    Give lots of messages during the iterations. The default
                     is to give a one line message at each iteration.