128 lines
5.2 KiB
Python
Executable File
128 lines
5.2 KiB
Python
Executable File
#!/usr/bin/env python3
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import math
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from qpms.argproc import ArgParser
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ap = ArgParser(['rectlattice2d_finite', 'background_analytical', 'single_particle', 'single_lMax', ])
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ap.add_argument("-t", "--rank-tolerance", type=float, default=1e11)
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ap.add_argument("-c", "--min-candidates", type=int, default=1, help='always try at least this many eigenvalue candidates, even if their SVs in the rank tests are lower than rank_tolerance')
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ap.add_argument("-T", "--residual-tolerance", type=float, default=0.)
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ap.add_argument("-o", "--output", type=str, required=False, help='output path (if not provided, will be generated automatically)')
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#ap.add_argument("-O", "--plot-out", type=str, required=False, help="path to plot output (optional)")
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#ap.add_argument("-P", "--plot", action='store_true', help="if -p not given, plot to a default path")
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#ap.add_argument("-g", "--save-gradually", action='store_true', help="saves the partial result after computing each irrep")
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ap.add_argument("-f", "--centre", type=complex, required=True, help='Contour centre in eV')
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ap.add_argument("--ai", type=float, default=0.05, help="Contour imaginary half-axis in eV")
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ap.add_argument("--ar", type=float, default=0.05, help="Contour real half-axis in eV")
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ap.add_argument("-N", type=int, default="150", help="Integration contour discretisation size")
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ap.add_argument("--D2", action='store_true', help="Use D2h symmetry even if the array has square symmetry")
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ap.add_argument("--irrep", type=str, default="none", help="Irrep subspace (irrep index from 0 to 7 (9 for D4h), irrep label, or 'none' for no irrep decomposition")
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a=ap.parse_args()
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import logging
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logging.basicConfig(format='%(asctime)s %(message)s', level=logging.INFO)
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Nx, Ny = a.size
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px, py = a.period
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thegroup = 'D4h' if px == py and Nx == Ny and not a.D2 else 'D2h'
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particlestr = ("sph" if a.height is None else "cyl") + ("_r%gnm" % (a.radius*1e9))
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if a.height is not None: particlestr += "_h%gnm" % (a.height * 1e9)
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defaultprefix = "%s_p%gnmx%gnm_%dx%d_m%s_B%s_L%d_c(%s±%g±%gj)eV_cn%d_%s" % (
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particlestr, px*1e9, py*1e9, Nx, Ny, str(a.material), str(a.background), a.lMax,
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str(a.centre), a.ar, a.ai, a.N,
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thegroup,
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)
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logging.info("Default file prefix: %s" % defaultprefix)
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def inside_ellipse(point_xy, centre_xy, halfaxes_xy):
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x = point_xy[0] - centre_xy[0]
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y = point_xy[1] - centre_xy[1]
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ax = halfaxes_xy[0]
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ay = halfaxes_xy[1]
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return ((x/ax)**2 + (y/ay)**2) <= 1
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import numpy as np
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import qpms
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from qpms.cybspec import BaseSpec
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from qpms.cytmatrices import CTMatrix, TMatrixGenerator
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from qpms.qpms_c import Particle
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from qpms.cymaterials import EpsMu, EpsMuGenerator, LorentzDrudeModel, lorentz_drude
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from qpms.cycommon import DebugFlags, dbgmsg_enable
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from qpms import FinitePointGroup, ScatteringSystem, BesselType, eV, hbar
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from qpms.symmetries import point_group_info
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eh = eV/hbar
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dbgmsg_enable(DebugFlags.INTEGRATION)
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#Particle positions
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orig_x = (np.arange(Nx/2) + (0 if (Nx % 2) else .5)) * px
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orig_y = (np.arange(Ny/2) + (0 if (Ny % 2) else .5)) * py
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orig_xy = np.stack(np.meshgrid(orig_x, orig_y), axis = -1)
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bspec = BaseSpec(lMax = a.lMax)
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medium = EpsMuGenerator(ap.background_epsmu)
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particles= [Particle(orig_xy[i], ap.tmgen, bspec) for i in np.ndindex(orig_xy.shape[:-1])]
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sym = FinitePointGroup(point_group_info[thegroup])
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logging.info("Creating scattering system object")
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ss, ssw = ScatteringSystem.create(particles, medium, a.centre * eh, sym=sym)
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if a.irrep == 'none':
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iri = None # no irrep decomposition
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irname = 'full'
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logging.info("Not performing irrep decomposition and working with the full space of dimension %d." % ss.fecv_size)
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else:
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try:
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iri = int(a.irrep)
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except ValueError:
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iri = ss.irrep_names.index(a.irrep)
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irname = ss.irrep_names[iri]
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logging.info("Using irrep subspace %s (iri = %d) of dimension %d." % (irname, iri, ss.saecv_sizes[iri]))
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outfile_tmp = defaultprefix + ".tmp" if a.output is None else a.output + ".tmp"
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logging.info("Starting Beyn's algorithm")
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results = ss.find_modes(iri=iri, omega_centre = a.centre*eh, omega_rr=a.ar*eh, omega_ri=a.ai*eh, contour_points=a.N,
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rank_tol=a.rank_tolerance, rank_min_sel=a.min_candidates, res_tol=a.residual_tolerance)
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results['inside_contour'] = inside_ellipse((results['eigval'].real, results['eigval'].imag),
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(a.centre.real*eh, a.centre.imag*eh), (a.ar*eh, a.ai*eh))
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results['refractive_index_internal'] = [medium(om).n for om in results['eigval']]
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outfile = defaultprefix + (('_ir%s_%s.npz' % (str(iri), irname)) if iri is not None else '.npz') if a.output is None else a.output
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np.savez(outfile, meta=vars(a), **results)
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logging.info("Saved to %s" % outfile)
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exit(0)
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# TODO plots.
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if a.plot or (a.plot_out is not None):
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import matplotlib
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matplotlib.use('pdf')
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from matplotlib import pyplot as plt
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fig = plt.figure()
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ax = fig.add_subplot(111)
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ax.plot(sinalpha_list, σ_ext*1e12,label='$\sigma_\mathrm{ext}$')
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ax.plot(sinalpha_list, σ_scat*1e12, label='$\sigma_\mathrm{scat}$')
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ax.plot(sinalpha_list, σ_abs*1e12, label='$\sigma_\mathrm{abs}$')
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ax.legend()
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ax.set_xlabel('$\sin\\alpha$')
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ax.set_ylabel('$\sigma/\mathrm{\mu m^2}$')
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plotfile = defaultprefix + ".pdf" if a.plot_out is None else a.plot_out
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fig.savefig(plotfile)
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exit(0)
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