.. _WGridderPredict.json#/:

WGridderPredict
===============

"Predict visibilities based on input images using wgridder"


.. _WGridderPredict.json#/inputs:

inputs
******


.. _WGridderPredict.json#/inputs/type:

type
++++

:type: ``string``

:default: ``""``

:doc: must be 'wgridderpredict' (case insensitive).


.. _WGridderPredict.json#/inputs/images:

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 <https://wsclean.readthedocs.io/en/latest/component_list.html>`__. The frequency in the metadata of the fits files is used as nu<sub>0</sub> in the polynomial evaluation.


.. _WGridderPredict.json#/inputs/regions:

regions
+++++++

:type: ``string``

:default: ``""``

:doc: DS9 regions file describing the facets for prediction.


.. _WGridderPredict.json#/inputs/savefacets:

savefacets
++++++++++

:type: ``bool``

:default: ``False``

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


.. _WGridderPredict.json#/inputs/sumfacets:

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.