QPMS
/
qpms
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Loading and unwrapping precalculated translation coefficients. 

Former-commit-id: e15d3e655e613806676940de4516b65c54d3d80b
This commit is contained in:
Marek Nečada 2017-02-08 12:16:10 +02:00
parent c3e8dc23f1
commit 90c3efe8b0
1 changed files with 83 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

83
qpms/hexpoints.py
View File

@ -246,3 +246,86 @@ def hexlattice_precalc_AB_save(file, lMax, k_hexside, maxlayer, circular=True, s
tosave['tphc_nmi'] = tphcdict['nmi'] tosave['tphc_nmi'] = tphcdict['nmi']
np.savez(file, **tosave) np.savez(file, **tosave)
def hexlattice_precalc_AB_loadunwrap(file, tpdict = None, tphcdict = None, return_points = False):
npz = np.load(file)
precalc_params = npz['precalc_params'][()]
my, ny = get_mn_y(precalc_params['lMax'])
nelem = len(my)
# this I should have made more universal...
if precalc_params['savepointinfo']:
if not tpdict:
tpdict = {
'points' : npz['tp_points'],
'si' : npz['tp_si'],
'mi' : npz['tp_mi'],
'nmi' : npz['tp_nmi'],
}
if not tphcdict:
tphcdict = {
'points' : npz['tphc_points'],
'ti' : npz['tphc_ti'],
'mi' : npz['tphc_mi'],
'nmi' : npz['tphc_nmi']
}
else:
if not tpdict:
tpdict = generate_trianglepoints(maxlayer = precalc_params['maxlayer'], v3d=True,
circular=precalc_params['circular'], sixthindices=True, mirrorindices=True)
if not tphcdict:
tphcdict = generate_trianglepoints_hexcomplement(maxlayer=precalc_params['maxlayer'], v3d=True,
circular=precalc_params['circular'], thirdindices=True, mirrorindices=True)
# For some obscure reason, I keep getting trailing single-dimension in the beginning for these arrays
for a in (tpdict['points'], tphcdict['points'], tpdict['si'], tpdict['mi'],
tphcdict['ti'], tphcdict['mi']):
if len(a.shape) > 2:
a.shape = a.shape[1::]
self_tr = tpdict['points']
d2u_tr = tphcdict['points']
if len(self_tr.shape)>2:
self_tr = np.reshape(self_tr, self_tr.shape[1::])
if len(d2u_tr.shape)>2:
d2u_tr = np.reshape(d2u_tr, d2u_tr.shape[1::])
u2d_tr = -d2u_tr
a_self = np.empty((self_tr.shape[0],nelem,nelem), dtype=complex)
b_self = np.empty((self_tr.shape[0],nelem,nelem), dtype=complex)
a_d2u = np.empty(( d2u_tr.shape[0],nelem,nelem), dtype=complex)
b_d2u = np.empty(( d2u_tr.shape[0],nelem,nelem), dtype=complex)
a_self[tpdict['nmi']]=npz['a_self_nm']
a_self[tpdict['mi'][0]]=npz['a_self_m0']
b_self[tpdict['nmi']]=npz['b_self_nm']
b_self[tpdict['mi'][0]]=npz['b_self_m0']
mirrorangles = qpms.cart2sph(self_tr[tpdict['mi'][1]])[:,2] - qpms.cart2sph(self_tr[tpdict['mi'][0]])[:,2]
a_self[tpdict['mi'][1],:,:] = a_self[tpdict['mi'][0],:,:] * np.exp(1j*mirrorangles[:,nx,nx]*(my[nx,nx,:]-my[nx,:,nx]))
b_self[tpdict['mi'][1],:,:] = b_self[tpdict['mi'][0],:,:] * np.exp(1j*mirrorangles[:,nx,nx]*(my[nx,nx,:]-my[nx,:,nx]))
for i in range(1,6):
a_self[tpdict['si'][i],:,:] = a_self[tpdict['si'][0],:,:] * np.exp(1j*math.pi/3*i*(my[nx,:]-my[:,nx]))
b_self[tpdict['si'][i],:,:] = b_self[tpdict['si'][0],:,:] * np.exp(1j*math.pi/3*i*(my[nx,:]-my[:,nx]))
a_d2u[tphcdict['nmi']]=npz['a_d2u_nm']
a_d2u[tphcdict['mi'][0]]=npz['a_d2u_m0']
b_d2u[tphcdict['nmi']]=npz['b_d2u_nm']
b_d2u[tphcdict['mi'][0]]=npz['b_d2u_m0']
mirrorangles = qpms.cart2sph(self_tr[tphcdict['mi'][1]])[:,2] - qpms.cart2sph(self_tr[tphcdict['mi'][0]])[:,2]
a_d2u[tphcdict['mi'][1],:,:] = a_d2u[tphcdict['mi'][0],:,:] * np.exp(1j*mirrorangles[:,nx,nx]*(my[nx,nx,:]-my[nx,:,nx]))
b_d2u[tphcdict['mi'][1],:,:] = b_d2u[tphcdict['mi'][0],:,:] * np.exp(1j*mirrorangles[:,nx,nx]*(my[nx,nx,:]-my[nx,:,nx]))
for i in (1,-1):
a_d2u[tphcdict['ti'][i],:,:] = a_d2u[tphcdict['ti'][0],:,:] * np.exp(i*2j*math.pi/3*(my[nx,:]-my[:,nx]))
b_d2u[tphcdict['ti'][i],:,:] = b_d2u[tphcdict['ti'][0],:,:] * np.exp(i*2j*math.pi/3*(my[nx,:]-my[:,nx]))
a_u2d = a_d2u * (-1)**(my[nx,:]-my[:,nx])
b_u2d = b_d2u * (-1)**(my[nx,:]-my[:,nx])
d = {
'a_self' : a_self,
'b_self' : b_self,
'a_d2u' : a_d2u,
'b_d2u' : b_d2u,
'a_u2d' : a_u2d,
'b_u2d' : b_u2d
}
if return_points:
d['d2u_tr'] = tphcdict['points']
d['u2d_tr'] = -tphcdict['points']
d['self_tr'] = tpdict['points']
return d