skrf.calibration.calibration.UnknownThru

class skrf.calibration.calibration.UnknownThru(measured, ideals, *args, **kwargs)

Two-Port Self-Calibration allowing the thru standard to be unknown.

This algorithm was originally developed in [1], and is based on the 8-term error model (EightTerm). It allows the thru to be unknown, other than it must be reciprocal. This is useful when when a well-known thru is not realizable.

References

[1]

A. Ferrero and U. Pisani, “Two-port network analyzer calibration using an unknown thru,” IEEE Microwave and Guided Wave Letters, vol. 2, no. 12, pp. 505-507, 1992.

Attributes

T_matrices	Intermediate matrices used for embedding and de-embedding.
biased_error	Estimate of biased error for overdetermined calibration with multiple connections of each standard.
caled_ntwk_sets	Return a NetworkSet for each caled_ntwk, grouped by their names.
caled_ntwks	List of the corrected calibration standards.
coefs	Dictionary or error coefficients in form of numpy arrays.
coefs_12term	Dictionary of error coefficients for 12-term Model.
coefs_12term_ntwks	Dictionary or error coefficients in form of Network objects.
coefs_3term	Dictionary of error coefficients for One-port Error model.
coefs_3term_ntwks	Dictionary of error coefficients in form of Network objects.
coefs_8term	Dictionary of error coefficients for 8-term (Error-box) Model.
coefs_8term_ntwks	Dictionary of error coefficients in form of Network objects.
coefs_ntwks	Dictionary of error coefficients in form of Network objects.
error_ntwk	The calculated error Network or Network[s].
family
frequency	Frequency object of the calibration.
measured_unisolated
measured_unterminated
normalized_directivity	Directivity normalized to the reflection tracking.
nstandards	Number of ideal/measurement pairs in calibration.
output_from_run	Return any output from the run().
residual_ntwk_sets	Returns a NetworkSet for each residual_ntwk, grouped by their names.
residual_ntwks	Dictionary of residual Networks.
total_error	Estimate of total error for overdetermined calibration with multiple connections of each standard.This is the combined effects of both biased and un-biased errors.
unbiased_error	Estimate of unbiased error for overdetermined calibration with multiple connections of each standard.
verify_12term
verify_12term_ntwk

Methods

__init__	UnknownThru Initializer.
apply_cal	Applies the calibration to the input network.
apply_cal_to_all_in_dir	Apply correction to all touchstone files in a given directory.
apply_cal_to_list	Apply correction to list or dict of Networks.
apply_cal_to_network_set	Apply correction to a NetworkSet.
embed	Applies the error boxes to the calibrated input network.
from_coefs	Create a calibration from its error coefficients.
from_coefs_ntwks	Create a calibration from its error coefficients.
plot_caled_ntwks	Plot corrected calibration standards.
plot_errors	Plot biased, unbiased and total error in dB scaled.
plot_residuals	Plot residual networks.
pop	Remove and return tuple of (ideal, measured) at index.
remove_and_cal	Remove a cal standard and correct it, returning correct and ideal.
renormalize	Renormalizes the calibration error boxes to a new reference impedance.
run	Run the calibration algorithm.
terminate	Terminate a network with switch terms.
unterminate	Unterminates switch terms from a raw measurement.
update_coefs	Update current dict of error coefficients.
write	Write the Calibration to disk using write().