def setUp(self):
self.n_ports = 2
self.wg = rf.RectangularWaveguide(rf.F(75,100,NPTS), a=100*rf.mil,z0=50)
wg = self.wg
self.Xf = wg.random(n_ports =2, name = 'Xf')
self.Xr = wg.random(n_ports =2, name = 'Xr')
self.Yf = wg.random(n_ports =2, name='Yf')
self.Yr = wg.random(n_ports =2, name='Yr')
ideals = [
wg.short(nports=2, name='short'),
wg.open(nports=2, name='open'),
wg.match(nports=2, name='load'),
wg.attenuator(-20,name='atten'),
wg.line(45,'deg',name = 'line') ,
]
measured = [ self.measure(k) for k in ideals]
self.cal= TwelveTerm(
ideals = NetworkSet(ideals).to_dict(),
measured = NetworkSet(measured).to_dict(),
n_thrus=None,
)
def setUp(self):
self.n_ports = 2
self.wg = WG
wg = self.wg
self.Xf = wg.random(n_ports=2, name='Xf')
self.Xr = wg.random(n_ports=2, name='Xr')
self.Yf = wg.random(n_ports=2, name='Yf')
self.Yr = wg.random(n_ports=2, name='Yr')
#No leakage as it can interfere with thru detection, which is done
#based on S21 and S12
self.If = wg.match(n_ports=1, name='If')
self.Ir = wg.match(n_ports=1, name='Ir')
ideals = [
wg.short(nports=2, name='short'),
wg.open(nports=2, name='open'),
wg.match(nports=2, name='load'),
wg.attenuator(-20, name='atten'),
wg.line(45, 'deg', name='line'),
]
measured = [self.measure(k) for k in ideals]
self.cal = TwelveTerm(
ideals=NetworkSet(ideals).to_dict(),
measured=NetworkSet(measured).to_dict(),
n_thrus=None,
)
def setUp(self):
self.n_ports = 2
wg= rf.wr10
wg.frequency = rf.F.from_f([100])
self.wg = wg
self.X = wg.random(n_ports =2, name = 'X')
self.Y = wg.random(n_ports =2, name='Y')
self.gamma_f = wg.random(n_ports =1, name='gamma_f')
self.gamma_r = wg.random(n_ports =1, name='gamma_r')
ideals = [
wg.short(nports=2, name='short'),
wg.open(nports=2, name='open'),
wg.match(nports=2, name='load'),
wg.thru(name='thru'),
]
measured = [ self.measure(k) for k in ideals]
self.cal = rf.TwelveTerm(
ideals = ideals,
measured = measured,
)
coefs = rf.calibration.convert_12term_2_8term(self.cal.coefs, redundant_k=1)
coefs = NetworkSet.from_s_dict(coefs,
frequency=self.cal.frequency).to_dict()
self.coefs= coefs
def setUp(self):
self.n_ports = 2
wg= rf.wr10
wg.frequency = rf.F.from_f([100])
self.wg = wg
self.X = wg.random(n_ports =2, name = 'X')
self.Y = wg.random(n_ports =2, name='Y')
self.gamma_f = wg.random(n_ports =1, name='gamma_f')
self.gamma_r = wg.random(n_ports =1, name='gamma_r')
#Isolation terms
self.If = wg.random(n_ports=1, name='If')
self.Ir = wg.random(n_ports=1, name='Ir')
ideals = [
wg.short(nports=2, name='short'),
wg.open(nports=2, name='open'),
wg.match(nports=2, name='load'),
wg.thru(name='thru'),
]
measured = [ self.measure(k) for k in ideals]
with warnings.catch_warnings(record=False):
self.cal = rf.TwelveTerm(
ideals = ideals,
measured = measured,
isolation=measured[2]
)
coefs = rf.calibration.convert_12term_2_8term(self.cal.coefs, redundant_k=1)
coefs = NetworkSet.from_s_dict(coefs,
frequency=self.cal.frequency).to_dict()
self.coefs= coefs
def setUp(self):
self.n_ports = 2
wg = rf.wr10
wg.frequency = rf.F.from_f([100])
self.wg = wg
self.X = wg.random(n_ports=2, name="X")
self.Y = wg.random(n_ports=2, name="Y")
self.gamma_f = wg.random(n_ports=1, name="gamma_f")
self.gamma_r = wg.random(n_ports=1, name="gamma_r")
ideals = [
wg.short(nports=2, name="short"),
wg.open(nports=2, name="open"),
wg.match(nports=2, name="load"),
wg.thru(name="thru"),
]
measured = [self.measure(k) for k in ideals]
self.cal = rf.TwelveTerm(ideals=ideals, measured=measured)
coefs = rf.calibration.convert_12term_2_8term(self.cal.coefs, redundant_k=1)
coefs = NetworkSet.from_s_dict(coefs, frequency=self.cal.frequency).to_dict()
self.coefs = coefs