ska_sdp_spectral_line_imaging.data_procs.predict module

ska_sdp_spectral_line_imaging.data_procs.predict.predict_ducc(weight, flag, uvw, freq, model_image, cell_size, epsilon, nchan, ntime, nbaseline)

Perform prediction using ducc0.gridder

Parameters:

• weight (numpy.array) -- Weights array

• flag (numpy.array) -- Flag array

• uvw (numpy.array) -- Polarization array

• freq (numpy.array) -- Frequency array

• model_image (numpy.array) -- Model image

• cell_size (float) -- Cell size in radians

• epsilon (float) -- Epsilon

• nchan (int) -- Number of channel dimension

• ntime (int) -- Number of time dimension

• nbaseline (int) -- Number of baseline dimension

Returns:

xarray.DataArray

ska_sdp_spectral_line_imaging.data_procs.predict.predict(ps, model_image, **kwargs)

Predict model column for processing set

Parameters:

• ps (ProcessingSet) -- Processing set

• model_image (numpy.array) -- Model image

• **kwargs -- Additional keyword arguments

Returns:

xarray.DataArray

ska_sdp_spectral_line_imaging.data_procs.predict.predict_for_channels(ps, model_image, epsilon, cell_size)