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

1. 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	Returns 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	the directivity normalized to the reflection tracking
nstandards	number of ideal/measurement pairs in calibration
output_from_run	Returns 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__	Initializer
apply_cal	Apply correction to a 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 of dict of Networks.
apply_cal_to_network_set	Apply correction to a NetworkSet.
embed
from_coefs	Creates a calibration from its error coefficients
from_coefs_ntwks	Creates 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	Runs 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()