UV_DETECT Algorithm

          The  UV_DETECT  algorithm  is basically that described by Loomis et al
    2018    (2018AJ....155..182L,   see   https://arxiv.org/pdf/1803.04987.pdf).
    Here, instead of being implemented as a Python / CASA script, it is coded in
    Fortran  and  embedded  into  IMAGER.  UV_DETECT calls an imager script that
    reads the data set, computes a UV_MODEL from the ImageData using the UV cov-
    erage found in the UV data set, resamples this UV_MODEL at the same velocity
    resolution than the UV data, and ultimately calls  command  UV_CORRELATE  to
    apply the UV plane filter.

      As  described  in  the  original  paper,  the UV data set and source model
    available in ImageModel must have the same centering.  The  ImageModel  must
    also cover a sufficient width around its specified source velocity.

      The  command will complain if the smoothing kernel described by the Image-
    Model is insufficient.