skrf.calibration.calibration.UnknownThru

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

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

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

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

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().