tidy3d.plugins.dispersion.web.run#

class run[source]#

Bases:

Execute the data fit using the stable fitter in the server.

Parameters:

fitter (DispersionFitter) – Fitter with the data to fit.
num_poles (PositiveInt, optional) – Number of poles in the model.
num_tries (PositiveInt, optional) – Number of optimizations to run with random initial guess.
tolerance_rms (NonNegativeFloat, optional) – RMS error below which the fit is successful and the result is returned.
advanced_param (AdvancedFitterParam, optional) – Advanced parameters passed on to the server.

Returns:

Best results of multiple fits: (dispersive medium, RMS error).

Return type:

Tuple[PoleResidue, float]

tidy3d.plugins.dispersion.web.run