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@ -1,169 +1,173 @@
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from simphony.elements import Model
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from simphony.netlist import Subcircuit
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from simphony.simulation import SweepSimulation
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from matplotlib import pyplot as plt
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import scipy
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import numpy
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from numpy.typing import ArrayLike, NDarray
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class PeriodicLayer(Model):
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def __init__(self, left_modes, right_modes, s_params):
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self.left_modes = left_modes
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self.right_modes = right_modes
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self.left_ports = len(self.left_modes)
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self.right_ports = len(self.right_modes)
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self.normalize_fields()
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self.s_params = s_params
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def normalize_fields(self):
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for mode in range(len(self.left_modes)):
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self.left_modes[mode].normalize()
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for mode in range(len(self.right_modes)):
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self.right_modes[mode].normalize()
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class PeriodicEME:
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def __init__(self, layers=[], num_periods=1):
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self.layers = layers
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self.num_periods = num_periods
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self.wavelength = wavelength
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def propagate(self):
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wl = self.wavelength
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if not len(self.layers):
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raise Exception("Must place layers before propagating")
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num_modes = max([l.num_modes for l in self.layers])
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iface = InterfaceSingleMode if num_modes == 1 else InterfaceMultiMode
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eme = EME(layers=self.layers)
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left, right = eme.propagate()
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self.single_period = eme.s_matrix
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period_layer = PeriodicLayer(left.modes, right.modes, self.single_period)
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current_layer = PeriodicLayer(left.modes, right.modes, self.single_period)
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interface = iface(right, left)
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for _ in range(self.num_periods - 1):
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current_layer.s_params = cascade(current_layer, interface, wl)
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current_layer.s_params = cascade(current_layer, period_layer, wl)
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self.s_params = current_layer.s_params
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class EME:
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def __init__(self, layers=[]):
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self.layers = layers
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self.wavelength = None
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def propagate(self):
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layers = self.layers
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wl = layers[0].wavelength if self.wavelength is None else self.wavelength
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if not len(layers):
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raise Exception("Must place layers before propagating")
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num_modes = max([l.num_modes for l in layers])
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iface = InterfaceSingleMode if num_modes == 1 else InterfaceMultiMode
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first_layer = layers[0]
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current = Current(wl, first_layer)
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interface = iface(first_layer, layers[1])
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current.s = cascade(current, interface, wl)
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current.right_pins = interface.right_pins
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for index in range(1, len(layers) - 1):
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layer1 = layers[index]
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layer2 = layers[index + 1]
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interface = iface(layer1, layer2)
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current.s = cascade(current, layer1, wl)
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current.right_pins = layer1.right_pins
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current.s = cascade(current, interface, wl)
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current.right_pins = interface.right_pins
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last_layer = layers[-1]
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current.s = cascade(current, last_layer, wl)
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current.right_pins = last_layer.right_pins
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self.s_matrix = current.s
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return first_layer, last_layer
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def stack(sa, sb):
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qab = numpy.eye() - sa.r11 @ sb.r11
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qba = numpy.eye() - sa.r11 @ sb.r11
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#s.t12 = sa.t12 @ numpy.pinv(qab) @ sb.t12
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#s.r21 = sa.t12 @ numpy.pinv(qab) @ sb.r22 @ sa.t21 + sa.r22
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#s.r12 = sb.t21 @ numpy.pinv(qba) @ sa.r11 @ sb.t12 + sb.r11
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#s.t21 = sb.t21 @ numpy.pinv(qba) @ sa.t21
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s.t12 = sa.t12 @ numpy.linalg.solve(qab, sb.t12)
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s.r21 = sa.t12 @ numpy.linalg.solve(qab, sb.r22 @ sa.t21) + sa.r22
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s.r12 = sb.t21 @ numpy.linalg.solve(qba, sa.r11 @ sb.t12) + sb.r11
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s.t21 = sb.t21 @ numpy.linalg.solve(qba, sa.t21)
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return s
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def cascade(first, second, wavelength):
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circuit = Subcircuit("Device")
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circuit.add([(first, "first"), (second, "second")])
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for port in range(first.right_ports):
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circuit.connect("first", "right" + str(port), "second", "left" + str(port))
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simulation = SweepSimulation(circuit, wavelength, wavelength, num=1)
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result = simulation.simulate()
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return result.s
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class InterfaceSingleMode(Model):
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def __init__(self, layer1, layer2, num_modes=1):
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self.num_modes = num_modes
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self.num_ports = 2 * num_modes
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self.s = self.solve(layer1, layer2, num_modes)
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def solve(self, layer1, layer2, num_modes):
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nm = num_modes
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s = numpy.zeros((2 * nm, 2 * nm), dtype=complex)
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for ii, left_mode in enumerate(layer1.modes):
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for oo, right_mode in enumerate(layer2.modes):
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r, t = get_rt(left_mode, right_mode)
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s[ oo, ii] = r
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s[nm + oo, ii] = t
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for ii, right_mode in enumerate(layer2.modes):
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for oo, left_mode in enumerate(layer1.modes):
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r, t = get_rt(right_mode, left_mode)
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s[ oo, nm + ii] = t
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s[nm + oo, nm + ii] = r
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return s
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class InterfaceMultiMode(Model):
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def __init__(self, layer1, layer2):
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self.s = self.solve(layer1, layer2)
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def solve(self, layer1, layer2):
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n1p = layer1.num_modes
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n2p = layer2.num_modes
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num_ports = n1p + n2p
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s = numpy.zeros((num_ports, num_ports), dtype=complex)
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for l1p in range(n1p):
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ts = get_t(l1p, layer1, layer2)
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rs = get_r(l1p, layer1, layer2, ts)
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s[n1p:, l1p] = ts
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s[:n1p, l1p] = rs
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for l2p in range(n2p):
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ts = get_t(l2p, layer2, layer1)
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rs = get_r(l2p, layer2, layer1, ts)
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s[:n1p, n1p + l2p] = ts
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s[n1p:, n1p + l2p] = rs
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return s
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#from simphony.elements import Model
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#from simphony.netlist import Subcircuit
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#from simphony.simulation import SweepSimulation
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#
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#from matplotlib import pyplot as plt
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#
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#
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#class PeriodicLayer(Model):
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# def __init__(self, left_modes, right_modes, s_params):
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# self.left_modes = left_modes
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# self.right_modes = right_modes
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# self.left_ports = len(self.left_modes)
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# self.right_ports = len(self.right_modes)
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# self.normalize_fields()
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# self.s_params = s_params
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#
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# def normalize_fields(self):
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# for mode in range(len(self.left_modes)):
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# self.left_modes[mode].normalize()
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# for mode in range(len(self.right_modes)):
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# self.right_modes[mode].normalize()
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#
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#
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#class PeriodicEME:
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# def __init__(self, layers=[], num_periods=1):
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# self.layers = layers
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# self.num_periods = num_periods
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# self.wavelength = wavelength
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#
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# def propagate(self):
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# wl = self.wavelength
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# if not len(self.layers):
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# raise Exception("Must place layers before propagating")
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#
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# num_modes = max([l.num_modes for l in self.layers])
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# iface = InterfaceSingleMode if num_modes == 1 else InterfaceMultiMode
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#
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# eme = EME(layers=self.layers)
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# left, right = eme.propagate()
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# self.single_period = eme.s_matrix
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#
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# period_layer = PeriodicLayer(left.modes, right.modes, self.single_period)
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# current_layer = PeriodicLayer(left.modes, right.modes, self.single_period)
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# interface = iface(right, left)
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#
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# for _ in range(self.num_periods - 1):
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# current_layer.s_params = cascade(current_layer, interface, wl)
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# current_layer.s_params = cascade(current_layer, period_layer, wl)
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#
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# self.s_params = current_layer.s_params
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#
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#
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#class EME:
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# def __init__(self, layers=[]):
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# self.layers = layers
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# self.wavelength = None
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#
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# def propagate(self):
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# layers = self.layers
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# wl = layers[0].wavelength if self.wavelength is None else self.wavelength
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# if not len(layers):
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# raise Exception("Must place layers before propagating")
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#
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# num_modes = max([l.num_modes for l in layers])
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# iface = InterfaceSingleMode if num_modes == 1 else InterfaceMultiMode
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#
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# first_layer = layers[0]
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# current = Current(wl, first_layer)
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# interface = iface(first_layer, layers[1])
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#
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# current.s = cascade(current, interface, wl)
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# current.right_pins = interface.right_pins
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#
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# for index in range(1, len(layers) - 1):
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# layer1 = layers[index]
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# layer2 = layers[index + 1]
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# interface = iface(layer1, layer2)
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#
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# current.s = cascade(current, layer1, wl)
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# current.right_pins = layer1.right_pins
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#
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# current.s = cascade(current, interface, wl)
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# current.right_pins = interface.right_pins
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#
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# last_layer = layers[-1]
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# current.s = cascade(current, last_layer, wl)
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# current.right_pins = last_layer.right_pins
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#
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# self.s_matrix = current.s
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# return first_layer, last_layer
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#
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#
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#def stack(sa, sb):
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# qab = numpy.eye() - sa.r11 @ sb.r11
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# qba = numpy.eye() - sa.r11 @ sb.r11
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# #s.t12 = sa.t12 @ numpy.pinv(qab) @ sb.t12
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# #s.r21 = sa.t12 @ numpy.pinv(qab) @ sb.r22 @ sa.t21 + sa.r22
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# #s.r12 = sb.t21 @ numpy.pinv(qba) @ sa.r11 @ sb.t12 + sb.r11
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# #s.t21 = sb.t21 @ numpy.pinv(qba) @ sa.t21
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# s.t12 = sa.t12 @ numpy.linalg.solve(qab, sb.t12)
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# s.r21 = sa.t12 @ numpy.linalg.solve(qab, sb.r22 @ sa.t21) + sa.r22
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# s.r12 = sb.t21 @ numpy.linalg.solve(qba, sa.r11 @ sb.t12) + sb.r11
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# s.t21 = sb.t21 @ numpy.linalg.solve(qba, sa.t21)
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# return s
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#
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#
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#def cascade(first, second, wavelength):
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# circuit = Subcircuit("Device")
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#
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# circuit.add([(first, "first"), (second, "second")])
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# for port in range(first.right_ports):
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# circuit.connect("first", "right" + str(port), "second", "left" + str(port))
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#
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# simulation = SweepSimulation(circuit, wavelength, wavelength, num=1)
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# result = simulation.simulate()
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# return result.s
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#
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#
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#class InterfaceSingleMode(Model):
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# def __init__(self, layer1, layer2, num_modes=1):
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# self.num_modes = num_modes
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# self.num_ports = 2 * num_modes
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# self.s = self.solve(layer1, layer2, num_modes)
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#
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# def solve(self, layer1, layer2, num_modes):
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# nm = num_modes
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# s = numpy.zeros((2 * nm, 2 * nm), dtype=complex)
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#
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# for ii, left_mode in enumerate(layer1.modes):
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# for oo, right_mode in enumerate(layer2.modes):
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# r, t = get_rt(left_mode, right_mode)
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# s[ oo, ii] = r
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# s[nm + oo, ii] = t
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#
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# for ii, right_mode in enumerate(layer2.modes):
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# for oo, left_mode in enumerate(layer1.modes):
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# r, t = get_rt(right_mode, left_mode)
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# s[ oo, nm + ii] = t
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# s[nm + oo, nm + ii] = r
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# return s
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#
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#
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#class InterfaceMultiMode(Model):
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# def __init__(self, layer1, layer2):
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# self.s = self.solve(layer1, layer2)
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#
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# def solve(self, layer1, layer2):
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# n1p = layer1.num_modes
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# n2p = layer2.num_modes
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# num_ports = n1p + n2p
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# s = numpy.zeros((num_ports, num_ports), dtype=complex)
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#
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# for l1p in range(n1p):
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# ts = get_t(l1p, layer1, layer2)
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# rs = get_r(l1p, layer1, layer2, ts)
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# s[n1p:, l1p] = ts
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# s[:n1p, l1p] = rs
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#
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# for l2p in range(n2p):
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# ts = get_t(l2p, layer2, layer1)
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# rs = get_r(l2p, layer2, layer1, ts)
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# s[:n1p, n1p + l2p] = ts
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# s[n1p:, n1p + l2p] = rs
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#
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# return s
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def get_t(p, left, right):
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@ -250,8 +254,27 @@ def connect_s(
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if k > A.shape[-1] - 1 or l > B.shape[-1] - 1:
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raise ValueError("port indices are out of range")
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C = scipy.sparse.block_diag((A, B), dtype=complex)
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return innerconnect_s(C, k, A.shape[0] + l)
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#C = scipy.sparse.block_diag((A, B), dtype=complex)
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#return innerconnect_s(C, k, A.shape[0] + l)
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nA = A.shape[-1]
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nB = B.shape[-1]
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nC = nA + nB - 2
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assert numpy.array_equal(A.shape[:-2], B.shape[:-2])
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denom = 1 - A[..., k, k] * B[..., l, l]
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Anew = A + A[..., k, :] * B[..., l, l] * A[..., :, k] / denom
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Bnew = A[..., k, :] * B[..., :, l] / denom
|
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|
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|
Anew = npy.delete(Anew, (k,), 1)
|
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|
Anew = npy.delete(Anew, (k,), 2)
|
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|
Bnew = npy.delete(Bnew, (l,), 1)
|
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|
Bnew = npy.delete(Bnew, (l,), 2)
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|
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|
dtype = (A[0, 0] * B[0, 0]).dtype
|
|
|
|
|
C = numpy.zeros(tuple(A.shape[:-2]) + (nn, nn), dtype=dtype)
|
|
|
|
|
C[..., :nA - 1, :nA - 1] = Anew
|
|
|
|
|
C[..., nA - 1:, nA - 1:] = Bnew
|
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|
|
return C
|
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|
|
def innerconnect_s(
|
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|
|