skrf.calibration.calibration.SixteenTerm

class skrf.calibration.calibration.SixteenTerm(measured, ideals, switch_terms=None, *args, **kwargs)[source]

General SixteenTerm (aka Error-box) Two-port calibration.

16-term error model is a complete error model that can solve for leakages between the different VNA receivers.

There are several different combinations of calibration standards that can be used. At least five two port measurements are needed. Using through, open, short, and load standards some combinations result in singular matrix. See 1 for list of non-singular combinations.

References

1
    1. Silvonen, “Calibration of 16-term error model (microwave measurement),” in Electronics Letters, vol. 29, no. 17, pp. 1544-1545, 19 Aug. 1993.

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_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

E_matrices

Convert solved calibration T matrices to S-parameters.

__init__

SixteenTerm 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.

run

Run the calibration algorithm.

terminate

Terminate a network with switch terms.

unterminate

Unterminate switch terms from a raw measurement.

update_coefs

Update current dict of error coefficients.

write

Write the Calibration to disk using write().