solve_gaintable

solve_gaintable(vis: Visibility, modelvis: Optional[Visibility] = None, gt=None, phase_only=True, niter=200, tol=1e-06, crosspol=False, normalise_gains=True, jones_type='T', **kwargs) → GainTable[source]

Solve a gain table by fitting an observed visibility to a model visibility

If modelvis is None, a point source model is assumed.

Parameters

  • vis – Visibility containing the observed data_models

  • modelvis – Visibility containing the visibility predicted by a model

  • gt – Existing gaintable

  • phase_only – Solve only for the phases (default=True)

  • niter – Number of iterations (default 30)

  • tol – Iteration stops when the fractional change in the gain solution is below this tolerance

  • crosspol – Do solutions including cross polarisations i.e. XY, YX or RL, LR

  • jones_type – Type of calibration matrix T or G or B

Returns

GainTable containing solution