skrf.calibration.deembedding.Deembedding.__init__

Deembedding.__init__(dummies, name=None, *args, **kwargs)[source]

De-embedding Initializer

Notes

Each de-embedding algorithm may use a different number of dummy networks. We check that each of these dummy networks have matching frequencies to perform de-embedding.

It should be known a-priori what the equivalent circuit of the parasitic network looks like. The proper de-embedding method should then be chosen accordingly.

Parameters:

  • dummies (list of Network objects) – Network info of all the dummy structures used in a given de-embedding algorithm.

  • name (string) – Name of this de-embedding instance, like ‘open-short-set1’ This is for convenience of identification.

  • *args (keyword arguments) – stored in self.args and self.kwargs, which may be used by sub-classes if needed.

  • **kwargs (keyword arguments) – stored in self.args and self.kwargs, which may be used by sub-classes if needed.