Functions

Visibility weighting and tapering

• Weighting: ska_sdp_func_python.imaging.weighting.weight_visibility()

• Gaussian tapering: ska_sdp_func_python.imaging.weighting.taper_visibility_gaussian()

• Tukey tapering: ska_sdp_func_python.imaging.weighting.taper_visibility_tukey()

Visibility predict and invert

• Predict by de-gridding visibilities with Nifty Gridder: ska_sdp_func_python.imaging.ng.predict_ng()

• Invert by gridding visibilities with Nifty Gridder: ska_sdp_func_python.imaging.ng.invert_ng()

• Predict by de-gridding visibilities with GPU-based WAGG: ska_sdp_func_python.imaging.wg.predict_wg()

• Invert by gridding visibilities with GPU-based WAGG: ska_sdp_func_python.imaging.wg.invert_wg()

Deconvolution

• Deconvolution: ska_sdp_func_python.image.deconvolution.deconvolve_cube() wraps:

• Hogbom Clean: ska_sdp_func_python.image.cleaners.hogbom()

• Hogbom Complex Clean: ska_sdp_func_python.image.cleaners.hogbom_complex()

• Multi-scale Clean: ska_sdp_func_python.image.cleaners.msclean()

• Multi-scale multi-frequency Clean: ska_sdp_func_python.image.cleaners.msmfsclean()

• Deconvolution with RADLER: ska_sdp_func_python.image.deconvolution.radler_deconvolve_list()

• Restore: ska_sdp_func_python.image.deconvolution.restore_cube()

Calibration

• Calibrate using an algorithm: sks_sdp_func_python.calibration.chain_calibration.calibrate_chain()

• Calibrate using DP3 gaincal with applycal set to true: sks_sdp_func_python.calibration.dp3_calibration.dp3_gaincal()

• Apply a Jones matrix (or inverse): ska_sdp_func_python.calibration.jones.apply_jones()

• Apply a GainTable to a Visibility: ska_sdp_func_python.calibration.operations.apply_gaintable()

• Concatenate a list of GainTables: ska_sdp_func_python.calibration.operations.concatenate_gaintables()

• Multiply two GainTables: ska_sdp_func_python.calibration.operations.multiply_gaintable()

• Solve for complex gains: ska_sdp_func_python.calibration.solvers.solve_gaintable()

• Solve for complex gains via ionospheric aperture functions: ska_sdp_func_python.calibration.ionosphere_solvers.solve_ionosphere()