Source code for ngcasa.imaging.predict_modelvis_image

#  CASA Next Generation Infrastructure
#  Copyright (C) 2021 AUI, Inc. Washington DC, USA
#  This program is free software: you can redistribute it and/or modify
#  it under the terms of the GNU General Public License as published by
#  the Free Software Foundation, either version 3 of the License, or
#  (at your option) any later version.
#  This program is distributed in the hope that it will be useful,
#  but WITHOUT ANY WARRANTY; without even the implied warranty of
#  GNU General Public License for more details.
#  You should have received a copy of the GNU General Public License
#  along with this program.  If not, see <>.
this module will be included in the api

[docs]def predict_modelvis_image(img_dataset, vis_dataset, grid_parms, storage_parms):
""" .. todo:: This function is not yet implemented Predict model visibilities from an input model image cube (units Jy/pixel) using a pre-specified gridding convolution function cache. Save the model visibilities in arr_name (default = 'MODEL') Optionally overwrite the model or add to existing model (incremental=T) (A input cube with 1 channel is a continuum image (nterms=1)) Returns ------- vis_dataset : xarray.core.dataset.Dataset """ #ngcasa.imaging._normalize(direction='forward') # Apply PB models to go to flat-sky #cngi.image.stokes_to_corr() #cngi.image.fourier_transform() #ngcasa.imaging._degrid()