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 codestructuring 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 12term Model 
coefs_12term_ntwks 
Dictionary or error coefficients in form of Network objects 
coefs_3term 
Dictionary of error coefficients for Oneport Error model 
coefs_3term_ntwks 
Dictionary of error coefficients in form of Network objects 
coefs_8term 
Dictionary of error coefficients for 8term (Errorbox) 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 unbiased 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() 