skrf.calibration.calibration.EnhancedResponse

class skrf.calibration.calibration.EnhancedResponse(measured, ideals, n_thrus=None, source_port=1, *args, **kwargs)[source]

Enhanced Response Partial Calibration

Why are you using this? For full error you correction, you can measure the DUT in both orientations and instead use TwoPortOnePath

Accuracy of correct measurements will rely on having a good match at the passive side of the DUT.

For code-structuring reasons, this is a dummy placeholder class. Its just TwoPortOnePath, which defaults to enhancedresponse correction when you apply the calibration to a single network, and not a tuple of networks.

Attributes

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
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 the calibration to a measurement
apply_cal_to_all_in_dir
apply_cal_to_list Apply correction to list of dict of Networks.
embed Embed an ideal response in the estimated error network[s]
from_coefs Creates a calibration from its error coefficients
from_coefs_ntwks Creates a calibration from its error coefficients
plot_caled_ntwks Plots corrected calibration standards
plot_errors Plots 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 if self.sp !=0: raise NotImplementedError(‘not implemented yet.
update_coefs update currect dict of error coefficients
write Write the Calibration to disk using write()