# 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
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# 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 <https://www.gnu.org/licenses/>.
this module will be included in the api
[docs]def predict_modelvis_image(img_dataset, vis_dataset, grid_parms, storage_parms):
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))
vis_dataset : xarray.core.dataset.Dataset
#ngcasa.imaging._normalize(direction='forward') # Apply PB models to go to flat-sky