The following tasks are primarily written for multiple-pointing (mosaiced)
observations (see Chapter 21). However they also work equally well for a conventional single
pointing dataset (in Miriad, a single pointing observation is treated as
a degenerate mosaic). The first two provide functionality not available
with the other single-pointing deconvolution tasks.
- mosmem: This is a maximum entropy deconvolution
task which can handle a joint
deconvolution with an interferometric and single dish observation. A joint
deconvolution of a single dish and single pointing interferometric observation
is not common: usually if the source is large enough to warrant a single
dish observation, then it is likely that the interferometric observation
would be a mosaic.
- pmosmem: This is another maximum entropy deconvolution task.
It differs in that it can perform a joint deconvolution of the four
Stokes parameters simultaneously. With polarised emission being potentially
positive and negative valued, the entropy measure for this is different
from a simple total intensity deconvolution. See
Sault et al. (1999)
(A&A, 139, 387) for more background on joint polarimetric deconvolution.
- moscsdi: This is a clean deconvolution task that does a
joint deconvolution of the combination of linear Stokes parameters Q+iU.
This approach avoids bias due to the position angle of the linear polarisation
and gives better results than mossdi for extended polarised emission. See
Pratley and Johnston-Hollitt (2016)
for the details of the algorithm. There is
a single pointing version of this task called csdi.