Other deconvolution tasks

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.