GRID_SG

        GRID_SG

    Optimum image reconstruction from irregularly sampled data  with  finite
    angular resolution.

    This task makes a cube from  a  table   containing  irregularly  sampled
    data.   The data is interpolated/extrapolated using a convolution taking
    into account the beam size of the  observing  telescope.  The  smoothing
    effect  of  the  convolution  can be optionally removed by this task, by
    Fourier filtering. Fourier filtering  is  also  used  to  suppress  high
    spatial frequency noise. The resulting image is thus optimal in terms of
    signal to noise and angular resolution.

    In mode NATURAL,  a  convolution  kernel  is  used  to  interpolate  the
    irregularly sampled data using the weight of each individual point.

    In mode UNIFORM, the same convolution process is used but the individual
    points are assumed to have equal weight.

    The pixel size is specified by the user, but the map size is  determined
    by  the task.  The input  table can be created by command GRID in CLASS,
    or using task TABLE from a formatted file.