skrf.calibration.calibration.Calibration¶
 class skrf.calibration.calibration.Calibration(measured, ideals, sloppy_input=False, is_reciprocal=True, name=None, self_calibration=False, *args, **kwargs)[source]¶
Base class for all Calibration objects.
This class implements the common mechanisms for all calibration algorithms. Specific calibration algorithms should inherit this class and override the methods: *
Calibration.run()
*Calibration.apply_cal()
*Calibration.embed()
(optional)The family of properties prefixed coefs and coefs..ntwks returns error coefficients. If the property coefs is accessed and empty, then
Calibration.run()
is called.
Attributes
Estimate of biased error for overdetermined calibration with multiple connections of each standard. 

Return a NetworkSet for each caled_ntwk, grouped by their names. 

List of the corrected calibration standards. 

Dictionary or error coefficients in form of numpy arrays. 

Dictionary of error coefficients for 12term Model. 

Dictionary or error coefficients in form of Network objects. 

Dictionary of error coefficients for Oneport Error model. 

Dictionary of error coefficients in form of Network objects. 

Dictionary of error coefficients for 8term (Errorbox) Model. 

Dictionary of error coefficients in form of Network objects. 

Dictionary of error coefficients in form of Network objects. 

The calculated error Network or Network[s]. 



Directivity normalized to the reflection tracking. 

Number of ideal/measurement pairs in calibration. 

Return any output from the 

Returns a NetworkSet for each residual_ntwk, grouped by their names. 

Dictionary of residual Networks. 

Estimate of total error for overdetermined calibration with multiple connections of each standard.This is the combined effects of both biased and unbiased errors. 

Estimate of unbiased error for overdetermined calibration with multiple connections of each standard. 

Methods
Calibration initializer. 

Apply correction to a Network. 

Apply correction to all touchstone files in a given directory. 

Apply correction to list of dict of Networks. 

Apply correction to a NetworkSet. 

Embed an ideal response in the estimated error network[s] 

Create a calibration from its error coefficients. 

Create a calibration from its error coefficients. 

Plot corrected calibration standards. 

Plot biased, unbiased and total error in dB scaled. 

Plot residual networks. 

Remove and return tuple of (ideal, measured) at index. 

Remove a cal standard and correct it, returning correct and ideal. 

Run the calibration algorithm. 

Update current dict of error coefficients. 

Write the Calibration to disk using 