__init__(measured, ideals=None, estimate_line=False, n_reflects=1, solve_reflect=True, *args, **kwargs)¶
Initialize a TRL calibration
Note that the order of measured and ideals is strict. It must be [Thru, Reflect, Line]. A multiline algorithms is used if more than one line is passed. A multi-reflect algorithm is used if multiple reflects are passed, see n_reflects argument.
All of the ideals can be indivdually set to None, or the entire list set to None (ideals=None). For each ideal set to None the following assumptions are made:
- thru : flush thru
- reflect : flush shorts
- line : and approximaitly 90deg matched line (can be lossy)
The reflect ideals can also be given as a +-1.
Note you can also use the estimate_line option to automatically estimate the initial guess for the line length from measurements . This is sensible if you have no idea what the line length is, but your error networks are well macthed (E_ij >>E_ii).
This implementation inherits from
EightTerm. dont forget to pass switch_terms.
- measured (list of
Network) – must be in order [Thru, Reflect[s], Line[s]]. if the number of reflects is >1 then use n_reflects argument.
- ideals (list of
Network, [+1,-1] , None) – must be in order [Thru, Reflect, Line]. Each element in the list may be None, or equivalently, the list may be None. Also the reflects can be simply given as +1 or -1.
- estimate_line (bool) – should we estimates the length of the line standard from raw measurements, if not we assume its about 90 deg.
- solve_reflect (bool) – Solve for the reflect or not.
- n_reflects (1) – number of reflective standards
- **kwargs (*args,) – dont forget the switch_terms argument is important
>>>thru = rf.Network(‘thru.s2p’) >>>reflect = rf.Network(‘reflect.s2p’) >>>line = rf.Network(‘line.s2p’)
# ideals is None, so we assume it’s close to a flush short >>>trl = TRL(measured=[thru,reflect,line], ideals=None)
# reflect is given as close to a flush short >>>trl = TRL(measured=[thru,reflect,line], ideals=[None,-1,None])
# reflect is given as close to a flush open >>>trl = TRL(measured=[thru,reflect,line], ideals=[None,+1,None])