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Multiple minimum singular value support 

Former-commit-id: c8351b2b509d5887bcde06fadcfb21c3f79a0054
This commit is contained in:
Marek Nečada 2017-02-16 00:49:53 +00:00
parent a3dec16ee3
commit 2ff17ba650
1 changed files with 76 additions and 70 deletions
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34
misc/dispersion-SVD.py
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@ -19,6 +19,7 @@ parser.add_argument('--griddir', action='store', required=True, help='Path to th
#sizepar = parser.add_mutually_exclusive_group(required=True)
parser.add_argument('--hexside', action='store', type=float, required=True, help='Lattice hexagon size length')
parser.add_argument('--output', action='store', help='Path to output PDF')
parser.add_argument('--nSV', action='store', metavar='N', type=int, default=1, help='Store and draw N minimun singular values')
parser.add_argument('--background_permittivity', action='store', type=float, default=1., help='Background medium relative permittivity (default 1)')
parser.add_argument('--sparse', action='store', type=int, help='Skip frequencies for preview')
parser.add_argument('--eVmax', action='store', help='Skip frequencies above this value')
@ -58,6 +59,7 @@ kdensity = pargs.kdensity
minfreq = pargs.eVmin*eV/hbar if pargs.eVmin else None
maxfreq = pargs.eVmax*eV/hbar if pargs.eVmax else None
skipfreq = pargs.sparse if pargs.sparse else None
svn = pargs.nSV
# TODO multiplier operation definitions and parsing
#factor13inc = 10
@ -92,6 +94,9 @@ print(ops)
import time
begtime=time.time()
from matplotlib.path import Path
import matplotlib.patches as patches
import matplotlib.pyplot as plt
import qpms
import numpy as np
import os, sys, warnings, math
@ -324,8 +329,8 @@ for trfile in os.scandir(translations_dir):
TMatrices_om = TMatrices_interp(omega)
minsvTElist = np.full((klist.shape[0]),np.nan)
minsvTMlist = np.full((klist.shape[0]),np.nan)
minsvTElist = np.full((klist.shape[0], svn),np.nan)
minsvTMlist = np.full((klist.shape[0], svn),np.nan)
leftmatrixlist = np.full((klist.shape[0],2,2,nelem,2,2,nelem),np.nan,dtype=complex)
isNaNlist = np.zeros((klist.shape[0]), dtype=bool)
@ -373,8 +378,14 @@ for trfile in os.scandir(translations_dir):
leftmatrixlist_s = np.reshape(leftmatrixlist,(klist.shape[0], 2*2*nelem,2*2*nelem))[nnlist]
leftmatrixlist_TE = leftmatrixlist_s[np.ix_(np.arange(leftmatrixlist_s.shape[0]),TEč,TEč)]
leftmatrixlist_TM = leftmatrixlist_s[np.ix_(np.arange(leftmatrixlist_s.shape[0]),TMč,TMč)]
minsvTElist[nnlist] = np.amin(np.linalg.svd(leftmatrixlist_TE, compute_uv=False), axis=-1)
minsvTMlist[nnlist] = np.amin(np.linalg.svd(leftmatrixlist_TM, compute_uv=False), axis=-1)
svarr = np.linalg.svd(leftmatrixlist_TE, compute_uv=False)
argsortlist = np.argsort(svarr, axis=-1)[...,:svn]
minsvTElist[nnlist] = svarr[argsortlist]
#minsvTElist[nnlist] = np.amin(np.linalg.svd(leftmatrixlist_TE, compute_uv=False), axis=-1)
svarr = np.linalg.svd(leftmatrixlist_TM, compute_uv=False)
argsortlist = np.argsort(svarr, axis=-1)[...,:svn]
minsvTMlist[nnlist] = svarr[argsortlist]
#minsvTMlist[nnlist] = np.amin(np.linalg.svd(leftmatrixlist_TM, compute_uv=False), axis=-1)
minsvTMlistlist.append(minsvTMlist)
minsvTElistlist.append(minsvTElist)
@ -393,17 +404,15 @@ omegalist = omegalist[omegaorder]
minsvTElistarr = minsvTElistarr[omegaorder]
minsvTMlistarr = minsvTMlistarr[omegaorder]
omlist = np.broadcast_to(omegalist[:,nx], minsvTElistarr.shape)
kxmlarr = np.broadcast_to(kxmaplist[nx,:], minsvTElistarr.shape)
omlist = np.broadcast_to(omegalist[:,nx], minsvTElistarr[...,0].shape)
kxmlarr = np.broadcast_to(kxmaplist[nx,:], minsvTElistarr[...,0].shape)
klist = np.concatenate((k0Mlist,kMK1list,kK10list,k0K2list,kK2Mlist), axis=0)
# In[ ]:
from matplotlib.path import Path
import matplotlib.patches as patches
for minN in range(svn):
f, ax = plt.subplots(1, figsize=(20,15))
sc = ax.scatter(kxmlarr, omlist/eV*hbar, c = np.sqrt(minsvTMlistarr), s =40, lw=0)
sc = ax.scatter(kxmlarr, omlist/eV*hbar, c = np.sqrt(minsvTMlistarr[...,minN]), s =40, lw=0)
ax.plot(kxmaplist, np.linalg.norm(klist,axis=-1)*cdn/eV*hbar, '-',
kxmaplist, np.linalg.norm(klist+B1, axis=-1)*cdn/eV*hbar, '-',
kxmaplist, np.linalg.norm(klist+B2, axis=-1)*cdn/eV*hbar, '-',
@ -433,11 +442,8 @@ pdf.savefig(f)
# In[ ]:
import matplotlib.pyplot as plt
from matplotlib.path import Path
import matplotlib.patches as patches
f, ax = plt.subplots(1, figsize=(20,15))
sc = ax.scatter(kxmlarr, omlist/eV*hbar, c = np.sqrt(minsvTElistarr), s =40, lw=0)
sc = ax.scatter(kxmlarr, omlist/eV*hbar, c = np.sqrt(minsvTElistarr[...,minN]), s =40, lw=0)
ax.plot(kxmaplist, np.linalg.norm(klist,axis=-1)*cdn/eV*hbar, '-',
kxmaplist, np.linalg.norm(klist+B1, axis=-1)*cdn/eV*hbar, '-',
kxmaplist, np.linalg.norm(klist+B2, axis=-1)*cdn/eV*hbar, '-',