skrf.calibration.calibration.Calibration.uncertainty_per_standard

Calibration.uncertainty_per_standard(std_names=None, attribute='s')

given that you have repeat-connections of single standard, this calculates the complex standard deviation (distance) for each standard in the calibration across connection #.

takes:

std_names: list of strings to uniquely identify each

standard.*

attribute: string passed to func_on_networks to calculate

std deviation on a component if desired. [‘s’]

returns:

list of skrf.Networks, whose magnitude of s-parameters is proportional to the standard deviation for that standard

*example:

if your calibration had ideals named like:

‘short 1’, ‘short 2’, ‘open 1’, ‘open 2’, etc.

you would pass this

mycal.uncertainty_per_standard([‘short’,’open’,’match’])