def test_symbolic_twoport():
circuit.default_toolkit = symbolic
cir = SubCircuit()
var('R1 R0 C1 w k T', real=True, positive=True)
s = 1j*w
cir['R0'] = R(1, gnd, r=R0)
cir['R1'] = R(1, 2, r=R1)
# cir['C1'] = C(2, gnd, c=C1)
## Add an AC source to verify that the source will not affect results
# cir['IS'] = IS(1, gnd, iac=1)
## Run symbolic 2-port analysis
twoport_ana = TwoPortAnalysis(cir, Node('1'), gnd, Node('2'), gnd,
noise = True, toolkit=symbolic,
noise_outquantity = 'v')
result = twoport_ana.solve(freqs=s, complexfreq=True)
ABCD = Matrix(result['twoport'].A)
ABCD.simplify()
assert_array_equal(ABCD, np.array([[1 + 0*R1*C1*s, R1],
[(1 + 0*R0*C1*s + 0*R1*C1*s) / R0, (R0 + R1)/R0]]))
assert_array_equal(simplify(result['Sin'] - (4*k*T/R0 + 4*R1*k*T/R0**2)), 0)
assert_array_equal(simplify(result['Svn']), 4*k*T*R1)
def test_symbolic_twoport():
circuit.default_toolkit = symbolic
cir = SubCircuit()
k = symbolic.kboltzmann
var('R1 R0 C1 w T', real=True, positive=True)
s = 1j*w
cir['R0'] = R(1, gnd, r=R0)
cir['R1'] = R(1, 2, r=R1)
# cir['C1'] = C(2, gnd, c=C1)
## Add an AC source to verify that the source will not affect results
# cir['IS'] = IS(1, gnd, iac=1)
## Run symbolic 2-port analysis
twoport_ana = TwoPortAnalysis(cir, Node('1'), gnd, Node('2'), gnd,
noise = True, toolkit=symbolic,
noise_outquantity = 'v')
result = twoport_ana.solve(freqs=s, complexfreq=True)
ABCD = Matrix(result['twoport'].A)
ABCD.simplify()
assert_array_equal(ABCD, np.array([[1 + 0*R1*C1*s, R1],
[(1 + 0*R0*C1*s + 0*R1*C1*s) / R0, (R0 + R1)/R0]]))
assert_array_equal(simplify(result['Sin'] - (4*k*T/R0 + 4*R1*k*T/R0**2)), 0)
assert_array_equal(simplify(result['Svn']), 4*k*T*R1)
def test_twoportanalysis_sparam():
ana = TwoPortAnalysis(cir, nin, gnd, nout, gnd, method = 'sparam')
ana.epar.T = T
result = ana.solve(freqs = 0)
assert isinstance(result['twoport'], NPortS)
assert_array_almost_equal(result['twoport'].A.astype(float), Aref)
assert_array_almost_equal(result['twoport'].CA.astype(complex),
CAref, decimal=25)
def test_twoportanalysis_sparam():
ana = TwoPortAnalysis(cir, nin, gnd, nout, gnd, method = 'sparam')
ana.epar.T = T
result = ana.solve(freqs = 0)
assert isinstance(result['twoport'], NPortS)
assert_array_almost_equal(result['twoport'].A.astype(float), Aref)
assert_array_almost_equal(result['twoport'].CA.astype(complex),
CAref, decimal=25)
def test_noise2():
cir = SubCircuit(toolkit=symbolic)
var('R1 R2 w k T', real=True, positive=True)
cir['Rp'] = R(1, gnd, r=R1 / 2, toolkit=symbolic)
cir['Rn'] = R(2, gnd, r=R1 / 2, toolkit=symbolic)
twoport_ana = TwoPortAnalysis(
cir, 1, 2, 2, 1, noise=True, toolkit=symbolic, noise_outquantity='v')
result = twoport_ana.solve(freqs=1j * w, complexfreq=True)
assert_equal(result['Sin'], 4 * k * T / R1)
assert_equal(result['Svn'], 0)
def test_noise2():
cir = SubCircuit(toolkit=symbolic)
var('R1 R2 w k T', real=True, positive=True)
cir['Rp'] = R(1, gnd, r=R1/2, toolkit=symbolic)
cir['Rn'] = R(2, gnd, r=R1/2, toolkit=symbolic)
twoport_ana = TwoPortAnalysis(cir, 1,2, 2, 1,
noise = True, toolkit=symbolic,
noise_outquantity = 'v')
result = twoport_ana.solve(freqs=1j*w, complexfreq=True)
assert_equal(result['Sin'], 4*k*T/R1)
assert_equal(result['Svn'], 0)
def test_twoportanalysis():
result = TwoPortAnalysis(cir, nin, gnd, nout, gnd, method='aparam').solve(freqs = 0)
assert isinstance(result['twoport'], NPortA)
assert_array_almost_equal(result['twoport'].A.astype(float), Aref)
