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 mwavepy.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’])