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Function to precalculate and save hex lattice translation coefficients. 

Former-commit-id: e43dfa30224a4a7d79ee92b0c5ff1856d4f53da9
This commit is contained in:
Marek Nečada 2017-02-06 09:39:43 +02:00
parent d76a036c33
commit c3e8dc23f1
1 changed files with 79 additions and 0 deletions
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qpms/hexpoints.py
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@ -167,3 +167,82 @@ def generate_trianglepoints_hexcomplement(maxlayer, v3d = True, circular = True,
'mi' : mi if mirrorindices else None, 'mi' : mi if mirrorindices else None,
'nmi' : nmi if mirrorindices else None 'nmi' : nmi if mirrorindices else None
} }
from qpms_c import get_mn_y
from .qpms_p import Ã, B̃, cart2sph
def hexlattice_precalc_AB_save(file, lMax, k_hexside, maxlayer, circular=True, savepointinfo = False, J_scat=3):
params = {
'lMax' : lMax,
'k_hexside' : k_hexside,
'maxlayer' : maxlayer,
'circular' : circular,
'savepointinfo' : savepointinfo,
'J_scat' : J_scat
}
tpdict = generate_trianglepoints(maxlayer, v3d=True, circular=circular, sixthindices=True, mirrorindices=True)
tphcdict = generate_trianglepoints_hexcomplement(maxlayer, v3d=True, circular=circular, thirdindices=True, mirrorindices=True)
my, ny = get_mn_y(lMax)
nelem = len(my)
a_self_nm = np.empty((tpdict['nmi'].shape[0],nelem,nelem), dtype=complex)
b_self_nm = np.empty((tpdict['nmi'].shape[0],nelem,nelem), dtype=complex)
a_self_m0 = np.empty((tpdict['mi'].shape[1],nelem,nelem), dtype=complex)
b_self_m0 = np.empty((tpdict['mi'].shape[1],nelem,nelem), dtype=complex)
a_d2u_nm = np.empty((tphcdict['nmi'].shape[0],nelem,nelem), dtype=complex)
b_d2u_nm = np.empty((tphcdict['nmi'].shape[0],nelem,nelem), dtype=complex)
a_d2u_m0 = np.empty((tphcdict['mi'].shape[1],nelem,nelem), dtype=complex)
b_d2u_m0 = np.empty((tphcdict['mi'].shape[1],nelem,nelem), dtype=complex)
k_0 = k_hexside*_s3 # not really a wave vector here because of the normalisation!
points = tpdict['points'][tpdict['nmi']]
for j in range(points.shape[0]):
d_i2j = cart2sph(points[j])
for yi in range(nelem):
for yj in range(nelem):
a_self_nm[j, yj, yi] = Ã(my[yj],ny[yj],my[yi],ny[yi],kdlj=d_i2j[0]*k_0,θlj=d_i2j[1],φlj=d_i2j[2],r_ge_d=False,J=J_scat)
b_self_nm[j, yj, yi] = B̃(my[yj],ny[yj],my[yi],ny[yi],kdlj=d_i2j[0]*k_0,θlj=d_i2j[1],φlj=d_i2j[2],r_ge_d=False,J=J_scat)
points = tpdict['points'][tpdict['mi'][0]]
for j in range(points.shape[0]):
d_i2j = cart2sph(points[j])
for yi in range(nelem):
for yj in range(nelem):
a_self_m0[j, yj, yi] = Ã(my[yj],ny[yj],my[yi],ny[yi],kdlj=d_i2j[0]*k_0,θlj=d_i2j[1],φlj=d_i2j[2],r_ge_d=False,J=J_scat)
b_self_m0[j, yj, yi] = B̃(my[yj],ny[yj],my[yi],ny[yi],kdlj=d_i2j[0]*k_0,θlj=d_i2j[1],φlj=d_i2j[2],r_ge_d=False,J=J_scat)
points = tphcdict['points'][tphcdict['nmi']]
for j in range(points.shape[0]):
d_i2j = cart2sph(points[j])
for yi in range(nelem):
for yj in range(nelem):
a_d2u_nm[j, yj, yi] = Ã(my[yj],ny[yj],my[yi],ny[yi],kdlj=d_i2j[0]*k_0,θlj=d_i2j[1],φlj=d_i2j[2],r_ge_d=False,J=J_scat)
b_d2u_nm[j, yj, yi] = B̃(my[yj],ny[yj],my[yi],ny[yi],kdlj=d_i2j[0]*k_0,θlj=d_i2j[1],φlj=d_i2j[2],r_ge_d=False,J=J_scat)
points = tphcdict['points'][tphcdict['mi'][0]]
for j in range(points.shape[0]):
d_i2j = cart2sph(points[j])
for yi in range(nelem):
for yj in range(nelem):
a_d2u_m0[j, yj, yi] = Ã(my[yj],ny[yj],my[yi],ny[yi],kdlj=d_i2j[0]*k_0,θlj=d_i2j[1],φlj=d_i2j[2],r_ge_d=False,J=J_scat)
b_d2u_m0[j, yj, yi] = B̃(my[yj],ny[yj],my[yi],ny[yi],kdlj=d_i2j[0]*k_0,θlj=d_i2j[1],φlj=d_i2j[2],r_ge_d=False,J=J_scat)
tosave = {
'a_self_nm' : a_self_nm,
'a_self_m0' : a_self_m0,
'b_self_nm' : b_self_nm,
'b_self_m0' : b_self_m0,
'a_d2u_nm' : a_d2u_nm,
'a_d2u_m0' : a_d2u_m0,
'b_d2u_nm' : b_d2u_nm,
'b_d2u_m0' : b_d2u_m0,
'precalc_params' : params
}
if savepointinfo:
tosave['tp_points'] = tpdict['points'],
tosave['tp_si'] = tpdict['si'],
tosave['tp_mi'] = tpdict['mi'],
tosave['tp_nmi'] = tpdict['nmi']
tosave['tphc_points'] = tphcdict['points'],
tosave['tphc_ti'] = tphcdict['ti'],
tosave['tphc_mi'] = tphcdict['mi'],
tosave['tphc_nmi'] = tphcdict['nmi']
np.savez(file, **tosave)