def __init__(
self,
circuit: Subcircuit,
start: float = 1.5e-6,
stop: float = 1.6e-6,
num: int = 2000,
mode="wl",
):
super().__init__(circuit)
if start > stop:
raise ValueError("simulation 'start' value must be less than 'stop' value.")
if mode == "wl":
tmp_start = start
tmp_stop = stop
start = wl2freq(tmp_stop)
stop = wl2freq(tmp_start)
elif mode == "freq":
pass
else:
err = "mode '{}' is not one of 'freq' or 'wl'".format(mode)
raise ValueError(err)
if start > stop:
raise ValueError(
"starting frequency cannot be greater than stopping frequency"
)
self.freq = np.linspace(start, stop, num)
self.wl = freq2wl(self.freq)
def sweep_simulation(circuit,
iport="input",
oport="output",
start=1500e-9,
stop=1600e-9,
num=2000,
logscale=True,
**kwargs):
""" Plot Sparameter circuit transmission over wavelength
Args:
num: number of sampled points
"""
circuit = pp.call_if_func(circuit)
simulation = SweepSimulation(circuit, start, stop, num)
result = simulation.simulate()
f, s = result.data(iport, oport)
w = freq2wl(f) * 1e9
if logscale:
s = 20 * np.log10(abs(s))
ylabel = "|S| (dB)"
else:
ylabel = "|S|"
f, ax = plt.subplots()
ax.plot(w, s)
plt.xlabel("wavelength (nm)")
plt.ylabel(ylabel)
plt.title(circuit.name)
return ax
def get_transmission(circuit,
iport="input",
oport="output",
start=1500e-9,
stop=1600e-9,
num=2000):
circuit = pp.call_if_func(circuit)
simulation = SweepSimulation(circuit, start, stop, num)
result = simulation.simulate()
f, s = result.data(iport, oport)
w = freq2wl(f) * 1e9
return dict(wavelength_nm=w, s=s)
def s_parameters(self, freq):
"""Get the s-parameters of SCEE Model.
Parameters
----------
freq : np.ndarray
A frequency array to calculate s-parameters over (in Hz).
Returns
-------
s : np.ndarray
Returns the calculated s-parameter matrix.
"""
# convert wavelength to frequency
wl = freq2wl(freq) * 1e9
return self.model.sparams(wl)
def simulate(self,
mode: Optional[str] = None,
**kwargs) -> Tuple[np.array, np.array]:
"""Runs the sweep simulation for the circuit.
Parameters
----------
dB :
Returns the power ratios in deciBels when True.
mode :
Whether to return frequencies or wavelengths for the corresponding
power ratios. Defaults to whatever values were passed in upon
instantiation. Either 'freq' or 'wl'.
"""
freqs, power_ratios = super().simulate(**kwargs, freqs=self.freqs)
mode = mode if mode else self.mode
if mode == "wl":
return (freq2wl(freqs), power_ratios)
return (freqs, power_ratios)
def sweep_simulation(circuit,
iport="input",
oport="output",
start=1500e-9,
stop=1600e-9,
logscale=True,
**kwargs):
""" Run a simulation on the circuit
"""
circuit = pp.call_if_func(circuit)
simulation = SweepSimulation(circuit, start, stop)
result = simulation.simulate()
f, s = result.data(iport, oport)
w = freq2wl(f) * 1e9
if logscale:
s = 20 * np.log10(abs(s))
plt.plot(w, s)
plt.title(circuit.name)
plt.tight_layout()
plt.show()
def monte_carlo_s_parameters(self, freq):
"""Get the s-parameters of SCEE Model with slightly changed parameters.
Parameters
----------
freq : np.ndarray
A frequency array to calculate s-parameters over (in Hz).
Returns
-------
s : np.ndarray
Returns the calculated s-parameter matrix.
"""
wl = freq2wl(freq) * 1e9
# perturb params and get sparams
self.model.update(**self.rand_params)
sparams = self.model.sparams(wl)
# restore parameters to originals
self.model.update(**self.og_params)
return sparams
('connect2', 'n1', 'ring11', 'pass'),
('connect2', 'n2', 'ring12', 'in'),
('out3', 'n1', 'ring12', 'out'),
('terminator', 'n1', 'ring12', 'pass'),
])
# Run a simulation on the netlist.
simulation = SweepSimulation(circuit, 1524.5e-9, 1551.15e-9)
result = simulation.simulate()
fig = plt.figure(tight_layout=True)
gs = gridspec.GridSpec(1, 3)
ax = fig.add_subplot(gs[0, :2])
f, s = result.data('input', 'out1')
ax.plot(freq2wl(f) * 1e9, s, label='Output 1', lw='0.7')
f, s = result.data('input', 'out2')
ax.plot(freq2wl(f) * 1e9, s, label='Output 2', lw='0.7')
f, s = result.data('input', 'out3')
ax.plot(freq2wl(f) * 1e9, s, label='Output 3', lw='0.7')
ax.set_ylabel("Fractional Optical Power")
ax.set_xlabel("Wavelength (nm)")
plt.legend(loc='upper right')
ax = fig.add_subplot(gs[0, 2])
f, s = result.data('input', 'out1')
ax.plot(freq2wl(f) * 1e9, s, label='Output 1', lw='0.7')
f, s = result.data('input', 'out2')
ax.plot(freq2wl(f) * 1e9, s, label='Output 2', lw='0.7')
f, s = result.data('input', 'out3')
("connect2", "n2", "ring12", "in"),
("out3", "n1", "ring12", "out"),
("terminator", "n1", "ring12", "pass"),
]
)
# Run a simulation on the netlist.
simulation = SweepSimulation(circuit, 1524.5e-9, 1551.15e-9)
result = simulation.simulate()
fig = plt.figure(tight_layout=True)
gs = gridspec.GridSpec(1, 3)
ax = fig.add_subplot(gs[0, :2])
f, s = result.data("input", "out1")
ax.plot(freq2wl(f) * 1e9, s, label="Output 1", lw="0.7")
f, s = result.data("input", "out2")
ax.plot(freq2wl(f) * 1e9, s, label="Output 2", lw="0.7")
f, s = result.data("input", "out3")
ax.plot(freq2wl(f) * 1e9, s, label="Output 3", lw="0.7")
ax.set_ylabel("Fractional Optical Power")
ax.set_xlabel("Wavelength (nm)")
plt.legend(loc="upper right")
ax = fig.add_subplot(gs[0, 2])
f, s = result.data("input", "out1")
ax.plot(freq2wl(f) * 1e9, s, label="Output 1", lw="0.7")
f, s = result.data("input", "out2")
ax.plot(freq2wl(f) * 1e9, s, label="Output 2", lw="0.7")
f, s = result.data("input", "out3")
plt.ylabel("Fractional Optical Power")
plt.show()
# We're interested now in the phase offsets at our wavelength of interest.
plt.figure()
# port 0 is the input port. ports 4-7 are the output ports.
freqs = np.argmax(simulator.freqs > set_freq)
input = 0
outputs = slice(4, 8)
s = simulator.circuit.s_parameters(simulator.freqs)
offset = min(np.angle(s[freqs, outputs, input]))
angles = np.angle(s[:, outputs, input]).T - offset
for angle in angles:
plt.plot(freq2wl(simulator.freqs) * 1e9, angle, linewidth="0.7")
plt.axvline(1550, color="k", linestyle="--", linewidth="0.5")
plt.legend([r"$\phi_4$", r"$\phi_5$", r"$\phi_6$", r"$\phi_7$"],
loc="upper right")
plt.xlabel("Wavelength (nm)")
plt.ylabel("Phase")
plt.show()
plt.figure()
angles = np.rad2deg(np.unwrap(np.angle(s[:, outputs, input]))).T
angles = angles + ((angles[:, freqs] % 2 * np.pi) - angles[:, freqs]).reshape(
(4, 1))
for i in range(4):
plt.plot(freq2wl(simulator.freqs) * 1e9, angles[i])
plt.xlabel("Frequency (Hz)")
plt.ylabel("Fractional Optical Power")
plt.show()
# We're interested now in the phase offsets at our wavelength of interest.
plt.figure()
freq, s = result.f, result.s
idx = np.argmax(freq > set_freq)
input_pin = result.pinlist['in1'].index
outputs = [result.pinlist['out' + str(n)].index for n in range(1, 5)]
offset = min(np.angle(s[idx, outputs, input_pin]))
# angles = np.unwrap(np.angle(s[:, outputs, input_pin])).T - offset
angles = np.angle(s[:, outputs, input_pin]).T - offset
for angle in angles:
plt.plot(freq2wl(freq) * 1e9, angle, linewidth='0.7')
plt.axvline(1550, color='k', linestyle='--', linewidth='0.5')
plt.legend([r'$\phi_4$', r'$\phi_5$', r'$\phi_6$', r'$\phi_7$'],
loc='upper right')
plt.xlabel("Wavelength (nm)")
plt.ylabel("Phase")
plt.show()
import sys
sys.exit()
plt.figure()
idx = np.argmax(freq > set_freq)
print(idx, freq2wl(freq[idx]))
angles = np.rad2deg(np.unwrap(np.angle(s[:, outputs, input_pin]))).T
plt.xlabel("Frequency (Hz)")
plt.ylabel("Fractional Optical Power")
plt.show()
# We're interested now in the phase offsets at our wavelength of interest.
plt.figure()
freq, s = result.f, result.s
idx = np.argmax(freq > set_freq)
input_pin = result.pinlist["in1"].index
outputs = [result.pinlist["out" + str(n)].index for n in range(1, 5)]
offset = min(np.angle(s[idx, outputs, input_pin]))
# angles = np.unwrap(np.angle(s[:, outputs, input_pin])).T - offset
angles = np.angle(s[:, outputs, input_pin]).T - offset
for angle in angles:
plt.plot(freq2wl(freq) * 1e9, angle, linewidth="0.7")
plt.axvline(1550, color="k", linestyle="--", linewidth="0.5")
plt.legend([r"$\phi_4$", r"$\phi_5$", r"$\phi_6$", r"$\phi_7$"], loc="upper right")
plt.xlabel("Wavelength (nm)")
plt.ylabel("Phase")
plt.show()
import sys
sys.exit()
plt.figure()
idx = np.argmax(freq > set_freq)
print(idx, freq2wl(freq[idx]))
angles = np.rad2deg(np.unwrap(np.angle(s[:, outputs, input_pin]))).T
angles = angles + ((angles[:, idx] % 2 * np.pi) - angles[:, idx]).reshape((4, 1))
plt.xlabel("Frequency (Hz)")
plt.ylabel("Fractional Optical Power")
plt.show()
# We're interested now in the phase offsets at our wavelength of interest.
plt.figure()
freq, s = result.f, result.s
idx = np.argmax(freq > set_freq)
input_pin = result.pinlist["in1"].index
outputs = [result.pinlist["out" + str(n)].index for n in range(1, 5)]
offset = min(np.angle(s[idx, outputs, input_pin]))
# angles = np.unwrap(np.angle(s[:, outputs, input_pin])).T - offset
angles = np.angle(s[:, outputs, input_pin]).T - offset
for angle in angles:
plt.plot(freq2wl(freq) * 1e9, angle, linewidth="0.7")
plt.axvline(1550, color="k", linestyle="--", linewidth="0.5")
plt.legend([r"$\phi_4$", r"$\phi_5$", r"$\phi_6$", r"$\phi_7$"],
loc="upper right")
plt.xlabel("Wavelength (nm)")
plt.ylabel("Phase")
plt.show()
import sys
sys.exit()
plt.figure()
idx = np.argmax(freq > set_freq)
print(idx, freq2wl(freq[idx]))
angles = np.rad2deg(np.unwrap(np.angle(s[:, outputs, input_pin]))).T
