Function to precalculate and save hex lattice translation coefficients.
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@ -167,3 +167,82 @@ def generate_trianglepoints_hexcomplement(maxlayer, v3d = True, circular = True,
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'mi' : mi if mirrorindices else None,
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'nmi' : nmi if mirrorindices else None
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}
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from qpms_c import get_mn_y
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from .qpms_p import Ã, B̃, cart2sph
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def hexlattice_precalc_AB_save(file, lMax, k_hexside, maxlayer, circular=True, savepointinfo = False, J_scat=3):
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params = {
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'lMax' : lMax,
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'k_hexside' : k_hexside,
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'maxlayer' : maxlayer,
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'circular' : circular,
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'savepointinfo' : savepointinfo,
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'J_scat' : J_scat
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}
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tpdict = generate_trianglepoints(maxlayer, v3d=True, circular=circular, sixthindices=True, mirrorindices=True)
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tphcdict = generate_trianglepoints_hexcomplement(maxlayer, v3d=True, circular=circular, thirdindices=True, mirrorindices=True)
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my, ny = get_mn_y(lMax)
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nelem = len(my)
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a_self_nm = np.empty((tpdict['nmi'].shape[0],nelem,nelem), dtype=complex)
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b_self_nm = np.empty((tpdict['nmi'].shape[0],nelem,nelem), dtype=complex)
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a_self_m0 = np.empty((tpdict['mi'].shape[1],nelem,nelem), dtype=complex)
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b_self_m0 = np.empty((tpdict['mi'].shape[1],nelem,nelem), dtype=complex)
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a_d2u_nm = np.empty((tphcdict['nmi'].shape[0],nelem,nelem), dtype=complex)
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b_d2u_nm = np.empty((tphcdict['nmi'].shape[0],nelem,nelem), dtype=complex)
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a_d2u_m0 = np.empty((tphcdict['mi'].shape[1],nelem,nelem), dtype=complex)
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b_d2u_m0 = np.empty((tphcdict['mi'].shape[1],nelem,nelem), dtype=complex)
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k_0 = k_hexside*_s3 # not really a wave vector here because of the normalisation!
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points = tpdict['points'][tpdict['nmi']]
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for j in range(points.shape[0]):
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d_i2j = cart2sph(points[j])
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for yi in range(nelem):
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for yj in range(nelem):
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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)
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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)
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points = tpdict['points'][tpdict['mi'][0]]
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for j in range(points.shape[0]):
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d_i2j = cart2sph(points[j])
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for yi in range(nelem):
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for yj in range(nelem):
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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)
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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)
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points = tphcdict['points'][tphcdict['nmi']]
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for j in range(points.shape[0]):
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d_i2j = cart2sph(points[j])
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for yi in range(nelem):
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for yj in range(nelem):
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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)
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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)
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points = tphcdict['points'][tphcdict['mi'][0]]
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for j in range(points.shape[0]):
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d_i2j = cart2sph(points[j])
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for yi in range(nelem):
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for yj in range(nelem):
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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)
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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)
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tosave = {
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'a_self_nm' : a_self_nm,
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'a_self_m0' : a_self_m0,
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'b_self_nm' : b_self_nm,
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'b_self_m0' : b_self_m0,
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'a_d2u_nm' : a_d2u_nm,
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'a_d2u_m0' : a_d2u_m0,
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'b_d2u_nm' : b_d2u_nm,
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'b_d2u_m0' : b_d2u_m0,
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'precalc_params' : params
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}
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if savepointinfo:
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tosave['tp_points'] = tpdict['points'],
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tosave['tp_si'] = tpdict['si'],
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tosave['tp_mi'] = tpdict['mi'],
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tosave['tp_nmi'] = tpdict['nmi']
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tosave['tphc_points'] = tphcdict['points'],
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tosave['tphc_ti'] = tphcdict['ti'],
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tosave['tphc_mi'] = tphcdict['mi'],
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tosave['tphc_nmi'] = tphcdict['nmi']
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np.savez(file, **tosave)
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