WGridderPredict

“Predict visibilities based on input images using wgridder”

inputs

type

type:: string
default:: ""
doc:: must be ‘wgridderpredict’ (case insensitive).

images

type:: list
default:: []
doc:: Filename of .fits model images, one per frequency term. The terms are defined as for a polynomial source spectra (not logarithmic), e.g. see this WSClean page. The frequency in the metadata of the fits files is used as nu<sub>0</sub> in the polynomial evaluation.

regions

type:: string
default:: ""
doc:: DS9 regions file describing the facets for prediction.

savefacets

type:: bool
default:: False
doc:: Write out each facet as a fits file (named facet<N>.fits).

sumfacets

type:: bool
default:: False
doc:: Sum visibilities for all facets. The default, false, means that visibilities are stored per facet, for example for use in DDECal.