skrf.calibration.calibration.SixteenTerm

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

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]

K. J. 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	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_calibration_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().