IDGPredict

“”

inputs

type

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

aterm.type

type:: string
default:: aterms name paramater
doc:: Use as atermname.type, where atermname is the name from the aterms parameter. Type can be one of the following beam.

atermkernelsize

type:: integer
default:: 16
doc:: Kernel size to use for determining aterms. See this WSClean page.

aterms

type:: bool

default

doc:: List of aterm names to use.

beam.differential

type:: bool
default:: False
doc:: Used in combination with an aterm of type (or name) beam.

beam.element_response_model

type:: string
default:: hamaker
doc:: Used in combination with an aterm of type (or name) beam.

beam.frequency_interpolation

type:: bool
default:: True
doc:: Used in combination with an aterm of type (or name) beam.

beam.usechannelfreq

type:: bool
default:: False
doc:: Used in combination with an aterm of type (or name) beam.

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 IDG prediction.

saveaterms

type:: bool
default:: False
doc:: Save the aterms to disk.

savefacets

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