Implement proper kappa for PML
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@ -64,6 +64,8 @@ if ( s{{r}} > {{r}} && {{r}} >= s{{r}} - pml_{{r ~ p}}_thickness ) {
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{%- endif %}
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{%- endif %}
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const size_t ip = {{v}} + {{u}} * s{{v}} + ir * s{{v}} * s{{u}}; // linear index into Psi
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const size_t ip = {{v}} + {{u}} * s{{v}} + ir * s{{v}} * s{{u}}; // linear index into Psi
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dH{{v ~ r}} *= p{{r}}2e{{p}}[ir];
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dH{{u ~ r}} *= p{{r}}2e{{p}}[ir];
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{{psi ~ u}}[ip] = p{{r}}0e{{p}}[ir] * {{psi ~ u}}[ip] + p{{r}}1e{{p}}[ir] * dH{{v ~ r}};
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{{psi ~ u}}[ip] = p{{r}}0e{{p}}[ir] * {{psi ~ u}}[ip] + p{{r}}1e{{p}}[ir] * dH{{v ~ r}};
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{{psi ~ v}}[ip] = p{{r}}0e{{p}}[ir] * {{psi ~ v}}[ip] + p{{r}}1e{{p}}[ir] * dH{{u ~ r}};
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{{psi ~ v}}[ip] = p{{r}}0e{{p}}[ir] * {{psi ~ v}}[ip] + p{{r}}1e{{p}}[ir] * dH{{u ~ r}};
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pE{{u}}i {{se}}= {{psi ~ u}}[ip];
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pE{{u}}i {{se}}= {{psi ~ u}}[ip];
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@ -45,6 +45,8 @@ ftype aEzy = Ez[i + py] + Ez[i];
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{%- endif %}
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{%- endif %}
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/*
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/*
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* PML Update
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* PML Update
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*/
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*/
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@ -78,6 +80,8 @@ if ( s{{r}} > {{r}} && {{r}} >= s{{r}} - pml_{{r ~ p}}_thickness ) {
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{%- endif %}
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{%- endif %}
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const size_t ip = {{v}} + {{u}} * s{{v}} + ir * s{{v}} * s{{u}}; // linear index into Psi
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const size_t ip = {{v}} + {{u}} * s{{v}} + ir * s{{v}} * s{{u}}; // linear index into Psi
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dE{{v ~ r}} *= p{{r}}2h{{p}}[ir];
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dE{{u ~ r}} *= p{{r}}2h{{p}}[ir];
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{{psi ~ u}}[ip] = p{{r}}0h{{p}}[ir] * {{psi ~ u}}[ip] + p{{r}}1h{{p}}[ir] * dE{{v ~ r}};
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{{psi ~ u}}[ip] = p{{r}}0h{{p}}[ir] * {{psi ~ u}}[ip] + p{{r}}1h{{p}}[ir] * dE{{v ~ r}};
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{{psi ~ v}}[ip] = p{{r}}0h{{p}}[ir] * {{psi ~ v}}[ip] + p{{r}}1h{{p}}[ir] * dE{{u ~ r}};
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{{psi ~ v}}[ip] = p{{r}}0h{{p}}[ir] * {{psi ~ v}}[ip] + p{{r}}1h{{p}}[ir] * dE{{u ~ r}};
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pH{{u}}i {{sh}}= {{psi ~ u}}[ip];
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pH{{u}}i {{sh}}= {{psi ~ u}}[ip];
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@ -203,16 +203,19 @@ class Simulation(object):
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for pml in pmls:
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for pml in pmls:
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a = 'xyz'.find(pml['axis'])
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a = 'xyz'.find(pml['axis'])
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sigma_max = -pml['ln_R_per_layer'] / 2 * (pml['m'] + 1) / \
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sigma_max = -pml['ln_R_per_layer'] / 2 * (pml['m'] + 1)
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numpy.sqrt(pml['epsilon_eff'] * pml['mu_eff'])
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kappa_max = numpy.sqrt(pml['mu_eff'] * pml['epsilon_eff'])
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alpha_max = 0 # TODO: Nonzero alpha
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alpha_max = 0 # TODO: Nonzero alpha?
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def par(x):
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def par(x):
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sigma = ((x / pml['thickness']) ** pml['m']) * sigma_max
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scaling = ((x / (pml['thickness'])) ** pml['m'])
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sigma = scaling * sigma_max
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kappa = 1 + scaling * (kappa_max - 1)
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alpha = ((1 - x / pml['thickness']) ** pml['ma']) * alpha_max
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alpha = ((1 - x / pml['thickness']) ** pml['ma']) * alpha_max
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p0 = numpy.exp(-(sigma + alpha) * dt)
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p0 = numpy.exp(-(sigma / kappa + alpha) * self.dt)
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p1 = sigma / (sigma + alpha) * (p0 - 1)
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p1 = sigma / (sigma + kappa * alpha) * (p0 - 1)
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return p0, p1
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p2 = 1/kappa
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return p0, p1, p2
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xe, xh = (numpy.arange(1, pml['thickness'] + 1, dtype=self.arg_type)[::-1] for _ in range(2))
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xe, xh = (numpy.arange(1, pml['thickness'] + 1, dtype=self.arg_type)[::-1] for _ in range(2))
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if pml['polarity'] == 'p':
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if pml['polarity'] == 'p':
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@ -220,7 +223,7 @@ class Simulation(object):
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elif pml['polarity'] == 'n':
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elif pml['polarity'] == 'n':
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xh -= 0.5
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xh -= 0.5
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pml_p_names = [['p' + pml['axis'] + i + eh + pml['polarity'] for i in '01'] for eh in 'eh']
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pml_p_names = [['p' + pml['axis'] + i + eh + pml['polarity'] for i in '012'] for eh in 'eh']
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for name_e, name_h, pe, ph in zip(pml_p_names[0], pml_p_names[1], par(xe), par(xh)):
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for name_e, name_h, pe, ph in zip(pml_p_names[0], pml_p_names[1], par(xe), par(xh)):
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pml_e_fields[ptr(name_e)] = pyopencl.array.to_device(self.queue, pe)
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pml_e_fields[ptr(name_e)] = pyopencl.array.to_device(self.queue, pe)
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pml_h_fields[ptr(name_h)] = pyopencl.array.to_device(self.queue, ph)
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pml_h_fields[ptr(name_h)] = pyopencl.array.to_device(self.queue, ph)
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