apply_gaintable

ska_sdp_func_python.calibration.operations.apply_gaintable(vis: Visibility, gt: GainTable, inverse=False, use_flags=False) → Visibility[source]

Apply a GainTable to a Visibility. The corrected visibility is:

V_corrected = {g_i * g_j^*}^-1 V_obs

see https://github.com/ratt-ru/fundamentals_of_interferometry/blob/ master/8_Calibration/8_1_calibration_least_squares_problem.ipynb

If the visibility data are polarised e.g. polarisation_frame(“linear”) then the inverse operator represents an actual inverse of the gains.

Parameters:

  • vis – Visibility to have gains applied

  • gt – GainTable to be applied

  • inverse – Apply the inverse (default=False)

Returns:

input Visibility with gains applied