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Priyanka Seth 2014-11-17 10:48:04 +01:00
parent 5eaa27a946
commit 5ad2acfee6
2 changed files with 270 additions and 289 deletions
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python/sumk_lda.py
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@ -68,12 +68,12 @@ class SumkLDA:
# convert spin_block_names to indices -- if spin polarized, differentiate up and down blocks
self.spin_names_to_ind = [{}, {}]
for iso in range(2): # SO = 0 or 1
for ibl in range(self.n_spin_blocks[iso]):
self.spin_names_to_ind[iso][self.spin_block_names[iso][ibl]] = ibl * self.SP
for isp in range(self.n_spin_blocks[iso]):
self.spin_names_to_ind[iso][self.spin_block_names[iso][isp]] = isp * self.SP
# GF structure used for the local things in the k sums
# Most general form allowing for all hybridisation, i.e. largest blocks possible
self.gf_struct_sumk = [ [ (b, range( self.corr_shells[icrsh][3])) for b in self.spin_block_names[self.corr_shells[icrsh][4]] ]
self.gf_struct_sumk = [ [ (sp, range( self.corr_shells[icrsh][3])) for sp in self.spin_block_names[self.corr_shells[icrsh][4]] ]
for icrsh in range(self.n_corr_shells) ]
#-----
@ -83,8 +83,8 @@ class SumkLDA:
optional_things = optional_things)
if (not self.subgroup_present) or (not self.value_read['gf_struct_solver']):
# No gf_struct was stored in HDF, so first set a standard one:
self.gf_struct_solver = [ dict([ (b, range(self.corr_shells[self.inequiv_to_corr[ish]][3]) )
for b in self.spin_block_names[self.corr_shells[self.inequiv_to_corr[ish]][4]] ])
self.gf_struct_solver = [ dict([ (sp, range(self.corr_shells[self.inequiv_to_corr[ish]][3]) )
for sp in self.spin_block_names[self.corr_shells[self.inequiv_to_corr[ish]][4]] ])
for ish in range(self.n_inequiv_shells)
]
# Set standard (identity) maps from gf_struct_sumk <-> gf_struct_solver
@ -247,7 +247,7 @@ class SumkLDA:
and chemical potential mu."""
ntoi = self.spin_names_to_ind[self.SO]
bln = self.spin_block_names[self.SO]
spn = self.spin_block_names[self.SO]
if not hasattr(self,"Sigma_imp"): with_Sigma = False
@ -261,29 +261,29 @@ class SumkLDA:
set_up_G_upfold = True
else: # yes if inconsistencies present in existing G_upfold
GFsize = [ gf.N1 for bname,gf in self.G_upfold]
unchangedsize = all( [ self.n_orbitals[ik,ntoi[bln[ibl]]] == GFsize[ibl]
for ibl in range(self.n_spin_blocks[self.SO]) ] )
unchangedsize = all( [ self.n_orbitals[ik,ntoi[spn[isp]]] == GFsize[isp]
for isp in range(self.n_spin_blocks[self.SO]) ] )
if (not unchangedsize) or (self.G_upfold.mesh.beta != beta): set_up_G_upfold = True
# Set up G_upfold
if set_up_G_upfold:
block_structure = [ range(self.n_orbitals[ik,ntoi[b]]) for b in bln ]
gf_struct = [ (bln[ibl], block_structure[ibl]) for ibl in range(self.n_spin_blocks[self.SO]) ]
block_structure = [ range(self.n_orbitals[ik,ntoi[sp]]) for sp in spn ]
gf_struct = [ (spn[isp], block_structure[isp]) for isp in range(self.n_spin_blocks[self.SO]) ]
block_ind_list = [block for block,inner in gf_struct]
if with_Sigma:
glist = lambda : [ GfImFreq(indices = inner, mesh = self.Sigma_imp[0].mesh) for block,inner in gf_struct]
else:
glist = lambda : [ GfImFreq(indices = inner, beta = beta) for block,inner in gf_struct]
self.G_upfold = BlockGf(name_list = block_ind_list, block_list = glist(), make_copies=False)
self.G_upfold = BlockGf(name_list = block_ind_list, block_list = glist(), make_copies = False)
self.G_upfold.zero()
self.G_upfold << iOmega_n
idmat = [numpy.identity(self.n_orbitals[ik,ntoi[bl]],numpy.complex_) for bl in bln]
idmat = [numpy.identity(self.n_orbitals[ik,ntoi[sp]],numpy.complex_) for sp in spn]
M = copy.deepcopy(idmat)
for ibl in range(self.n_spin_blocks[self.SO]):
ind = ntoi[bln[ibl]]
for isp in range(self.n_spin_blocks[self.SO]):
ind = ntoi[spn[isp]]
n_orb = self.n_orbitals[ik,ind]
M[ibl] = self.hopping[ik,ind,0:n_orb,0:n_orb] - (idmat[ibl]*mu) - (idmat[ibl] * self.h_field * (1-2*ibl))
M[isp] = self.hopping[ik,ind,0:n_orb,0:n_orb] - (idmat[isp]*mu) - (idmat[isp] * self.h_field * (1-2*isp))
self.G_upfold -= M
if with_Sigma:
@ -295,81 +295,94 @@ class SumkLDA:
return self.G_upfold
def density_matrix(self, method = 'using_gf', beta=40.0):
"""Calculate density matrices in one of two ways:
if 'using_gf': First get upfolded gf (g_loc is not set up), then density matrix.
It is useful for Hubbard I, and very quick.
No assumption on the hopping structure is made (ie diagonal or not).
if 'using_point_integration': Only works for diagonal hopping matrix (true in wien2k).
"""
dens_mat = [ {} for icrsh in range(self.n_corr_shells)]
def put_Sigma(self, Sigma_imp):
"""Puts the impurity self energies for inequivalent atoms into the class, respects the multiplicity of the atoms."""
assert isinstance(Sigma_imp,list), "Sigma_imp has to be a list of Sigmas for the correlated shells, even if it is of length 1!"
assert len(Sigma_imp) == self.n_inequiv_shells, "give exactly one Sigma for each inequivalent corr. shell!"
# init self.Sigma_imp:
if all(type(gf) == GfImFreq for bname,gf in Sigma_imp[0]):
# Imaginary frequency Sigma:
self.Sigma_imp = [ BlockGf( name_block_generator = [ (block,GfImFreq(indices = inner, mesh = Sigma_imp[0].mesh)) for block,inner in self.gf_struct_sumk[icrsh] ],
make_copies = False) for icrsh in range(self.n_corr_shells) ]
elif all(type(gf) == GfReFreq for bname,gf in Sigma_imp[0]):
# Real frequency Sigma:
self.Sigma_imp = [ BlockGf( name_block_generator = [ (block,GfReFreq(indices = inner, mesh = Sigma_imp[0].mesh)) for block,inner in self.gf_struct_sumk[icrsh] ],
make_copies = False) for icrsh in range(self.n_corr_shells) ]
else:
raise ValueError, "This type of Sigma is not handled."
# transform the CTQMC blocks to the full matrix:
for icrsh in range(self.n_corr_shells):
for bl in self.spin_block_names[self.corr_shells[icrsh][4]]:
dens_mat[icrsh][bl] = numpy.zeros([self.corr_shells[icrsh][3],self.corr_shells[icrsh][3]], numpy.complex_)
ish = self.corr_to_inequiv[icrsh] # ish is the index of the inequivalent shell corresponding to icrsh
for block,inner in self.gf_struct_solver[ish].iteritems():
for ind1 in inner:
for ind2 in inner:
block_sumk,ind1_sumk = self.solver_to_sumk[ish][(block,ind1)]
block_sumk,ind2_sumk = self.solver_to_sumk[ish][(block,ind2)]
self.Sigma_imp[icrsh][block_sumk][ind1_sumk,ind2_sumk] << Sigma_imp[ish][block][ind1,ind2]
# rotation from local to global coordinate system:
if self.use_rotations:
for icrsh in range(self.n_corr_shells):
for bname,gf in self.Sigma_imp[icrsh]: self.Sigma_imp[icrsh][bname] << self.rotloc(icrsh, gf, direction = 'toGlobal')
def extract_G_loc(self, mu = None, with_Sigma = True):
"""
Extracts the local downfolded Green function at the chemical potential of the class.
At the end, the local G is rotated from the global coordinate system to the local system.
if with_Sigma = False: Sigma is not included => non-interacting local GF
"""
if mu is None: mu = self.chemical_potential
Gloc = [ self.Sigma_imp[icrsh].copy() for icrsh in range(self.n_corr_shells) ] # this list will be returned
for icrsh in range(self.n_corr_shells): Gloc[icrsh].zero() # initialize to zero
beta = Gloc[0].mesh.beta
ikarray = numpy.array(range(self.n_k))
for ik in mpi.slice_array(ikarray):
if method == "using_gf":
G_upfold = self.lattice_gf_matsubara(ik=ik, beta=beta, mu=self.chemical_potential)
G_upfold *= self.bz_weights[ik]
dm = G_upfold.density()
MMat = [dm[bl] for bl in self.spin_block_names[self.SO]]
elif method == "using_point_integration":
ntoi = self.spin_names_to_ind[self.SO]
bln = self.spin_block_names[self.SO]
unchangedsize = all( [self.n_orbitals[ik,ntoi[bl]] == self.n_orbitals[0,ntoi[bl]] for bl in bln] )
if unchangedsize:
dim = self.n_orbitals[0,ntoi[bl]]
else:
dim = self.n_orbitals[ik,ntoi[bl]]
MMat = [numpy.zeros( [dim,dim], numpy.complex_) for bl in bln]
for ibl, bl in enumerate(bln):
ind = ntoi[bl]
for inu in range(self.n_orbitals[ik,ind]):
if (self.hopping[ik,ind,inu,inu] - self.h_field*(1-2*ibl)) < 0.0: # only works for diagonal hopping matrix (true in wien2k)
MMat[ibl][inu,inu] = 1.0
else:
MMat[ibl][inu,inu] = 0.0
S = self.lattice_gf_matsubara(ik = ik, mu = mu, with_Sigma = with_Sigma, beta = beta)
S *= self.bz_weights[ik]
for icrsh in range(self.n_corr_shells):
for ibl, bn in enumerate(self.spin_block_names[self.corr_shells[icrsh][4]]):
isp = self.spin_names_to_ind[self.corr_shells[icrsh][4]][bn]
dim = self.corr_shells[icrsh][3]
n_orb = self.n_orbitals[ik,isp]
projmat = self.proj_mat[ik,isp,icrsh,0:dim,0:n_orb]
if method == "using_gf":
dens_mat[icrsh][bn] += numpy.dot( numpy.dot(projmat,MMat[ibl]),
projmat.transpose().conjugate() )
elif method == "using_point_integration":
dens_mat[icrsh][bn] += self.bz_weights[ik] * numpy.dot( numpy.dot(projmat,MMat[ibl]) ,
projmat.transpose().conjugate() )
tmp = Gloc[icrsh].copy() # init temporary storage
for bname,gf in tmp: tmp[bname] << self.downfold(ik,icrsh,bname,S[bname],gf)
Gloc[icrsh] += tmp
# get data from nodes:
for icrsh in range(self.n_corr_shells):
for bname in dens_mat[icrsh]:
dens_mat[icrsh][bname] = mpi.all_reduce(mpi.world, dens_mat[icrsh][bname], lambda x,y : x+y)
# collect data from mpi
for icrsh in range(self.n_corr_shells): Gloc[icrsh] << mpi.all_reduce(mpi.world, Gloc[icrsh], lambda x,y : x+y)
mpi.barrier()
if self.symm_op != 0: dens_mat = self.symmcorr.symmetrize(dens_mat)
# Gloc[:] is now the sum over k projected to the local orbitals.
# here comes the symmetrisation, if needed:
if self.symm_op != 0: Gloc = self.symmcorr.symmetrize(Gloc)
# Rotate to local coordinate system:
# Gloc is rotated to the local coordinate system:
if self.use_rotations:
for icrsh in range(self.n_corr_shells):
for bn in dens_mat[icrsh]:
if self.rot_mat_time_inv[icrsh] == 1: dens_mat[icrsh][bn] = dens_mat[icrsh][bn].conjugate()
dens_mat[icrsh][bn] = numpy.dot( numpy.dot(self.rot_mat[icrsh].conjugate().transpose(),dens_mat[icrsh][bn]),
self.rot_mat[icrsh] )
for bname,gf in Gloc[icrsh]: Gloc[icrsh][bname] << self.rotloc(icrsh,gf,direction = 'toLocal')
return dens_mat
# transform to CTQMC blocks:
Glocret = [ BlockGf( name_block_generator = [ (block,GfImFreq(indices = inner, mesh = Gloc[0].mesh)) for block,inner in self.gf_struct_solver[ish].iteritems() ],
make_copies = False) for ish in range(self.n_inequiv_shells) ]
for ish in range(self.n_inequiv_shells):
for block,inner in self.gf_struct_solver[ish].iteritems():
for ind1 in inner:
for ind2 in inner:
block_sumk,ind1_sumk = self.solver_to_sumk[ish][(block,ind1)]
block_sumk,ind2_sumk = self.solver_to_sumk[ish][(block,ind2)]
Glocret[ish][block][ind1,ind2] << Gloc[self.inequiv_to_corr[ish]][block_sumk][ind1_sumk,ind2_sumk]
# return only the inequivalent shells:
return Glocret
def analyse_block_structure(self, threshold = 0.00001, include_shells = None, dm = None):
""" Determines the Green function block structure from simple point integration."""
""" Determines the Green's function block structure from simple point integration."""
self.gf_struct_solver = [ {} for ish in range(self.n_inequiv_shells) ]
self.sumk_to_solver = [ {} for ish in range(self.n_inequiv_shells) ]
@ -382,10 +395,9 @@ class SumkLDA:
if include_shells is None: include_shells = range(self.n_inequiv_shells)
for ish in include_shells:
block_ind_list = [ block for block,inner in self.gf_struct_sumk[self.inequiv_to_corr[ish]] ]
for block in block_ind_list:
dm = dens_mat[ish][block]
dmbool = (abs(dm) > threshold) # gives an index list of entries larger that threshold
for sp in self.spin_block_names[self.corr_shells[self.inequiv_to_corr[ish]][4]]:
dmbool = (abs(dens_mat[ish][sp]) > threshold) # gives an index list of entries larger that threshold
# Determine off-diagonal entries in upper triangular part of density matrix
offdiag = []
@ -393,9 +405,9 @@ class SumkLDA:
for j in range(i+1,len(dmbool)):
if dmbool[i,j]: offdiag.append([i,j])
# Determine the number of non-hybridising blocks in the gf
num_blocs = len(dmbool)
blocs = [ [i] for i in range(num_blocs) ]
for i in range(len(offdiag)):
for j in range(len(blocs[offdiag[i][1]])): blocs[offdiag[i][0]].append(blocs[offdiag[i][1]][j])
del blocs[offdiag[i][1]]
@ -407,17 +419,18 @@ class SumkLDA:
offdiag[j].sort()
num_blocs -= 1
# Set the gf_struct for the solver accordingly
for i in range(num_blocs):
blocs[i].sort()
self.gf_struct_solver[ish].update( [('%s_%s'%(block,i),range(len(blocs[i])))] )
self.gf_struct_solver[ish].update( [('%s_%s'%(sp,i),range(len(blocs[i])))] )
# Construct sumk_to_solver taking (sumk_block, sumk_index) --> (solver_block, solver_inner)
# and solver_to_sumk taking (solver_block, solver_inner) --> (sumk_block, sumk_index)
for i in range(num_blocs):
for j in range(len(blocs[i])):
block_sumk = block
block_sumk = sp
inner_sumk = blocs[i][j]
block_solv = '%s_%s'%(block,i)
block_solv = '%s_%s'%(sp,i)
inner_solv = j
self.sumk_to_solver[ish][(block_sumk,inner_sumk)] = (block_solv,inner_solv)
self.solver_to_sumk[ish][(block_solv,inner_solv)] = (block_sumk,inner_sumk)
@ -457,16 +470,78 @@ class SumkLDA:
return dens_mat
def symm_deg_gf(self,gf_to_symm,orb):
"""Symmetrises a GF for the given degenerate shells self.deg_shells"""
def density_matrix(self, method = 'using_gf', beta = 40.0):
"""Calculate density matrices in one of two ways:
if 'using_gf': First get upfolded gf (g_loc is not set up), then density matrix.
It is useful for Hubbard I, and very quick.
No assumption on the hopping structure is made (ie diagonal or not).
if 'using_point_integration': Only works for diagonal hopping matrix (true in wien2k).
"""
dens_mat = [ {} for icrsh in range(self.n_corr_shells)]
for icrsh in range(self.n_corr_shells):
for sp in self.spin_block_names[self.corr_shells[icrsh][4]]:
dens_mat[icrsh][sp] = numpy.zeros([self.corr_shells[icrsh][3],self.corr_shells[icrsh][3]], numpy.complex_)
ikarray = numpy.array(range(self.n_k))
for ik in mpi.slice_array(ikarray):
if method == "using_gf":
G_upfold = self.lattice_gf_matsubara(ik = ik, beta = beta, mu = self.chemical_potential)
G_upfold *= self.bz_weights[ik]
dm = G_upfold.density()
MMat = [dm[sp] for sp in self.spin_block_names[self.SO]]
elif method == "using_point_integration":
ntoi = self.spin_names_to_ind[self.SO]
spn = self.spin_block_names[self.SO]
unchangedsize = all( [self.n_orbitals[ik,ntoi[sp]] == self.n_orbitals[0,ntoi[sp]] for sp in spn] )
if unchangedsize:
dim = self.n_orbitals[0,ntoi[sp]]
else:
dim = self.n_orbitals[ik,ntoi[sp]]
MMat = [numpy.zeros( [dim,dim], numpy.complex_) for sp in spn]
for isp, sp in enumerate(spn):
ind = ntoi[sp]
for inu in range(self.n_orbitals[ik,ind]):
if (self.hopping[ik,ind,inu,inu] - self.h_field*(1-2*isp)) < 0.0: # only works for diagonal hopping matrix (true in wien2k)
MMat[isp][inu,inu] = 1.0
else:
MMat[isp][inu,inu] = 0.0
for icrsh in range(self.n_corr_shells):
for isp, sp in enumerate(self.spin_block_names[self.corr_shells[icrsh][4]]):
isp = self.spin_names_to_ind[self.corr_shells[icrsh][4]][sp]
dim = self.corr_shells[icrsh][3]
n_orb = self.n_orbitals[ik,isp]
projmat = self.proj_mat[ik,isp,icrsh,0:dim,0:n_orb]
if method == "using_gf":
dens_mat[icrsh][sp] += numpy.dot( numpy.dot(projmat,MMat[isp]),
projmat.transpose().conjugate() )
elif method == "using_point_integration":
dens_mat[icrsh][sp] += self.bz_weights[ik] * numpy.dot( numpy.dot(projmat,MMat[isp]) ,
projmat.transpose().conjugate() )
# get data from nodes:
for icrsh in range(self.n_corr_shells):
for bname in dens_mat[icrsh]:
dens_mat[icrsh][bname] = mpi.all_reduce(mpi.world, dens_mat[icrsh][bname], lambda x,y : x+y)
mpi.barrier()
if self.symm_op != 0: dens_mat = self.symmcorr.symmetrize(dens_mat)
# Rotate to local coordinate system:
if self.use_rotations:
for icrsh in range(self.n_corr_shells):
for bl in dens_mat[icrsh]:
if self.rot_mat_time_inv[icrsh] == 1: dens_mat[icrsh][bl] = dens_mat[icrsh][bl].conjugate()
dens_mat[icrsh][bl] = numpy.dot( numpy.dot(self.rot_mat[icrsh].conjugate().transpose(),dens_mat[icrsh][bl]),
self.rot_mat[icrsh] )
return dens_mat
for degsh in self.deg_shells[orb]:
#loop over degenerate shells:
ss = gf_to_symm[degsh[0]].copy()
ss.zero()
Ndeg = len(degsh)
for bl in degsh: ss += gf_to_symm[bl] / (1.0*Ndeg)
for bl in degsh: gf_to_symm[bl] << ss
# For simple dft input, get crystal field splittings.
def eff_atomic_levels(self):
@ -475,8 +550,8 @@ class SumkLDA:
# define matrices for inequivalent shells:
eff_atlevels = [ {} for ish in range(self.n_inequiv_shells) ]
for ish in range(self.n_inequiv_shells):
for bn in self.spin_block_names[self.corr_shells[self.inequiv_to_corr[ish]][4]]:
eff_atlevels[ish][bn] = numpy.identity(self.corr_shells[self.inequiv_to_corr[ish]][3], numpy.complex_)
for sp in self.spin_block_names[self.corr_shells[self.inequiv_to_corr[ish]][4]]:
eff_atlevels[ish][sp] = numpy.identity(self.corr_shells[self.inequiv_to_corr[ish]][3], numpy.complex_)
# Chemical Potential:
for ish in range(self.n_inequiv_shells):
@ -492,20 +567,20 @@ class SumkLDA:
# calculate the sum over k. Does not depend on mu, so do it only once:
self.Hsumk = [ {} for icrsh in range(self.n_corr_shells) ]
for icrsh in range(self.n_corr_shells):
for bn in self.spin_block_names[self.corr_shells[icrsh][4]]:
for sp in self.spin_block_names[self.corr_shells[icrsh][4]]:
dim = self.corr_shells[icrsh][3] #*(1+self.corr_shells[icrsh][4])
self.Hsumk[icrsh][bn] = numpy.zeros([dim,dim],numpy.complex_)
self.Hsumk[icrsh][sp] = numpy.zeros([dim,dim],numpy.complex_)
for icrsh in range(self.n_corr_shells):
dim = self.corr_shells[icrsh][3]
for ibl, bn in enumerate(self.spin_block_names[self.corr_shells[icrsh][4]]):
isp = self.spin_names_to_ind[self.corr_shells[icrsh][4]][bn]
for isp, sp in enumerate(self.spin_block_names[self.corr_shells[icrsh][4]]):
isp = self.spin_names_to_ind[self.corr_shells[icrsh][4]][sp]
for ik in range(self.n_k):
n_orb = self.n_orbitals[ik,isp]
MMat = numpy.identity(n_orb, numpy.complex_)
MMat = self.hopping[ik,isp,0:n_orb,0:n_orb] - (1-2*ibl) * self.h_field * MMat
MMat = self.hopping[ik,isp,0:n_orb,0:n_orb] - (1-2*isp) * self.h_field * MMat
projmat = self.proj_mat[ik,isp,icrsh,0:dim,0:n_orb]
self.Hsumk[icrsh][bn] += self.bz_weights[ik] * numpy.dot( numpy.dot(projmat,MMat),
self.Hsumk[icrsh][sp] += self.bz_weights[ik] * numpy.dot( numpy.dot(projmat,MMat),
projmat.conjugate().transpose() )
# symmetrisation:
@ -514,42 +589,39 @@ class SumkLDA:
# Rotate to local coordinate system:
if self.use_rotations:
for icrsh in range(self.n_corr_shells):
for bn in self.Hsumk[icrsh]:
for bl in self.Hsumk[icrsh]:
if self.rot_mat_time_inv[icrsh] == 1: self.Hsumk[icrsh][bn] = self.Hsumk[icrsh][bn].conjugate()
self.Hsumk[icrsh][bn] = numpy.dot( numpy.dot(self.rot_mat[icrsh].conjugate().transpose(),self.Hsumk[icrsh][bn]) ,
if self.rot_mat_time_inv[icrsh] == 1: self.Hsumk[icrsh][bl] = self.Hsumk[icrsh][bl].conjugate()
self.Hsumk[icrsh][bl] = numpy.dot( numpy.dot(self.rot_mat[icrsh].conjugate().transpose(),self.Hsumk[icrsh][bl]) ,
self.rot_mat[icrsh] )
# add to matrix:
for ish in range(self.n_inequiv_shells):
for bn in eff_atlevels[ish]:
eff_atlevels[ish][bn] += self.Hsumk[self.inequiv_to_corr[ish]][bn]
for bl in eff_atlevels[ish]:
eff_atlevels[ish][bl] += self.Hsumk[self.inequiv_to_corr[ish]][bl]
return eff_atlevels
def __init_dc(self):
# construct the density matrix dm_imp and double counting arrays
self.dc_imp = [ {} for icrsh in range(self.n_corr_shells)]
for icrsh in range(self.n_corr_shells):
dim = self.corr_shells[icrsh][3]
for j in range(len(self.gf_struct_sumk[icrsh])):
self.dc_imp[icrsh]['%s'%self.gf_struct_sumk[icrsh][j][0]] = numpy.zeros([dim,dim],numpy.float_)
spn = self.spin_block_names[self.corr_shells[icrsh][4]]
for sp in spn: self.dc_imp[icrsh][sp] = numpy.zeros([dim,dim],numpy.float_)
self.dc_energ = [0.0 for icrsh in range(self.n_corr_shells)]
def set_dc(self,dens_mat,U_interact,J_hund,orb=0,use_dc_formula=0,use_val=None):
"""Sets the double counting term for inequiv orbital orb:
use_dc_formula=0: LDA+U FLL double counting,
use_dc_formula=1: Held's formula,
use_dc_formula=2: AMF.
use_dc_formula = 0: LDA+U FLL double counting,
use_dc_formula = 1: Held's formula,
use_dc_formula = 2: AMF.
Be sure that you are using the correct interaction Hamiltonian!"""
for icrsh in range(self.n_corr_shells):
iorb = self.corr_to_inequiv[icrsh] # iorb is the index of the inequivalent shell corresponding to icrsh
@ -559,110 +631,70 @@ class SumkLDA:
Ncr = {}
dim = self.corr_shells[icrsh][3] #*(1+self.corr_shells[icrsh][4])
for j in range(len(self.gf_struct_sumk[icrsh])):
self.dc_imp[icrsh]['%s'%self.gf_struct_sumk[icrsh][j][0]] = numpy.identity(dim,numpy.float_)
blname = self.gf_struct_sumk[icrsh][j][0]
Ncr[blname] = 0.0
spn = self.spin_block_names[self.corr_shells[icrsh][4]]
for sp in spn:
self.dc_imp[icrsh][sp] = numpy.identity(dim,numpy.float_)
Ncr[sp] = 0.0
for block,inner in self.gf_struct_solver[iorb].iteritems():
bl = self.solver_to_sumk_block[iorb][block]
Ncr[bl] += dens_mat[block].real.trace()
Ncrtot = 0.0
block_ind_list = [block for block,inner in self.gf_struct_sumk[icrsh]]
for bl in block_ind_list:
Ncrtot += Ncr[bl]
spn = self.spin_block_names[self.corr_shells[icrsh][4]]
for sp in spn:
Ncrtot += Ncr[sp]
# average the densities if there is no SP:
if self.SP == 0:
for bl in block_ind_list:
Ncr[bl] = Ncrtot / len(block_ind_list)
for sp in spn: Ncr[sp] = Ncrtot / len(spn)
# correction for SO: we have only one block in this case, but in DC we need N/2
elif self.SP == 1 and self.SO == 1:
for bl in block_ind_list:
Ncr[bl] = Ncrtot / 2.0
for sp in spn: Ncr[sp] = Ncrtot / 2.0
if use_val is None:
if use_dc_formula == 0: # FLL
self.dc_energ[icrsh] = U_interact / 2.0 * Ncrtot * (Ncrtot-1.0)
for bl in block_ind_list:
Uav = U_interact*(Ncrtot-0.5) - J_hund*(Ncr[bl] - 0.5)
self.dc_imp[icrsh][bl] *= Uav
self.dc_energ[icrsh] -= J_hund / 2.0 * (Ncr[bl]) * (Ncr[bl]-1.0)
mpi.report("DC for shell %(icrsh)i and block %(bl)s = %(Uav)f"%locals())
for sp in spn:
Uav = U_interact*(Ncrtot-0.5) - J_hund*(Ncr[sp] - 0.5)
self.dc_imp[icrsh][sp] *= Uav
self.dc_energ[icrsh] -= J_hund / 2.0 * (Ncr[sp]) * (Ncr[sp]-1.0)
mpi.report("DC for shell %(icrsh)i and block %(sp)s = %(Uav)f"%locals())
elif use_dc_formula == 1: # Held's formula, with U_interact the interorbital onsite interaction
self.dc_energ[icrsh] = (U_interact + (dim-1)*(U_interact-2.0*J_hund) + (dim-1)*(U_interact-3.0*J_hund))/(2*dim-1) / 2.0 * Ncrtot * (Ncrtot-1.0)
for bl in block_ind_list:
for sp in spn:
Uav =(U_interact + (dim-1)*(U_interact-2.0*J_hund) + (dim-1)*(U_interact-3.0*J_hund))/(2*dim-1) * (Ncrtot-0.5)
self.dc_imp[icrsh][bl] *= Uav
mpi.report("DC for shell %(icrsh)i and block %(bl)s = %(Uav)f"%locals())
self.dc_imp[icrsh][sp] *= Uav
mpi.report("DC for shell %(icrsh)i and block %(sp)s = %(Uav)f"%locals())
elif use_dc_formula == 2: # AMF
self.dc_energ[icrsh] = 0.5 * U_interact * Ncrtot * Ncrtot
for bl in block_ind_list:
Uav = U_interact*(Ncrtot - Ncr[bl]/dim) - J_hund * (Ncr[bl] - Ncr[bl]/dim)
self.dc_imp[icrsh][bl] *= Uav
self.dc_energ[icrsh] -= (U_interact + (dim-1)*J_hund)/dim * 0.5 * Ncr[bl] * Ncr[bl]
mpi.report("DC for shell %(icrsh)i and block %(bl)s = %(Uav)f"%locals())
for sp in spn:
Uav = U_interact*(Ncrtot - Ncr[sp]/dim) - J_hund * (Ncr[sp] - Ncr[sp]/dim)
self.dc_imp[icrsh][sp] *= Uav
self.dc_energ[icrsh] -= (U_interact + (dim-1)*J_hund)/dim * 0.5 * Ncr[sp] * Ncr[sp]
mpi.report("DC for shell %(icrsh)i and block %(sp)s = %(Uav)f"%locals())
# output:
mpi.report("DC energy for shell %s = %s"%(icrsh,self.dc_energ[icrsh]))
else:
block_ind_list = [block for block,inner in self.gf_struct_sumk[icrsh]]
for bl in block_ind_list:
self.dc_imp[icrsh][bl] *= use_val
self.dc_energ[icrsh] = use_val * Ncrtot
for sp in spn:
self.dc_imp[icrsh][sp] *= use_val
# output:
mpi.report("DC for shell %(icrsh)i = %(use_val)f"%locals())
mpi.report("DC energy = %s"%self.dc_energ[icrsh])
def put_Sigma(self, Sigma_imp):
"""Puts the impurity self energies for inequivalent atoms into the class, respects the multiplicity of the atoms."""
assert isinstance(Sigma_imp,list), "Sigma_imp has to be a list of Sigmas for the correlated shells, even if it is of length 1!"
assert len(Sigma_imp) == self.n_inequiv_shells, "give exactly one Sigma for each inequivalent corr. shell!"
# init self.Sigma_imp:
if all(type(gf) == GfImFreq for bname,gf in Sigma_imp[0]):
# Imaginary frequency Sigma:
self.Sigma_imp = [ BlockGf( name_block_generator = [ (block,GfImFreq(indices = inner, mesh = Sigma_imp[0].mesh)) for block,inner in self.gf_struct_sumk[icrsh] ],
make_copies = False) for icrsh in range(self.n_corr_shells) ]
elif all(type(gf) == GfReFreq for bname,gf in Sigma_imp[0]):
# Real frequency Sigma:
self.Sigma_imp = [ BlockGf( name_block_generator = [ (block,GfReFreq(indices = inner, mesh = Sigma_imp[0].mesh)) for block,inner in self.gf_struct_sumk[icrsh] ],
make_copies = False) for icrsh in range(self.n_corr_shells) ]
else:
raise ValueError, "This type of Sigma is not handled."
# transform the CTQMC blocks to the full matrix:
for icrsh in range(self.n_corr_shells):
ish = self.corr_to_inequiv[icrsh] # ish is the index of the inequivalent shell corresponding to icrsh
for block,inner in self.gf_struct_solver[ish].iteritems():
for ind1 in inner:
for ind2 in inner:
block_sumk,ind1_sumk = self.solver_to_sumk[ish][(block,ind1)]
block_sumk,ind2_sumk = self.solver_to_sumk[ish][(block,ind2)]
self.Sigma_imp[icrsh][block_sumk][ind1_sumk,ind2_sumk] << Sigma_imp[ish][block][ind1,ind2]
# rotation from local to global coordinate system:
if self.use_rotations:
for icrsh in range(self.n_corr_shells):
for bname,gf in self.Sigma_imp[icrsh]: self.Sigma_imp[icrsh][bname] << self.rotloc(icrsh,gf,direction='toGlobal')
def add_dc(self):
"""Substracts the double counting term from the impurity self energy."""
@ -677,11 +709,16 @@ class SumkLDA:
return sres # list of self energies corrected by DC
def symm_deg_gf(self,gf_to_symm,orb):
"""Symmetrises a GF for the given degenerate shells self.deg_shells"""
def set_mu(self,mu):
"""Sets a new chemical potential"""
self.chemical_potential = mu
for degsh in self.deg_shells[orb]:
#loop over degenerate shells:
ss = gf_to_symm[degsh[0]].copy()
ss.zero()
n_deg = len(degsh)
for bl in degsh: ss += gf_to_symm[bl] / (1.0*n_deg)
for bl in degsh: gf_to_symm[bl] << ss
def total_density(self, mu):
@ -694,11 +731,10 @@ class SumkLDA:
"""
dens = 0.0
ikarray=numpy.array(range(self.n_k))
ikarray = numpy.array(range(self.n_k))
for ik in mpi.slice_array(ikarray):
S = self.lattice_gf_matsubara(ik=ik,mu=mu)
S = self.lattice_gf_matsubara(ik = ik, mu = mu)
dens += self.bz_weights[ik] * S.total_density()
# collect data from mpi:
@ -708,6 +744,12 @@ class SumkLDA:
return dens
def set_mu(self,mu):
"""Sets a new chemical potential"""
self.chemical_potential = mu
def find_mu(self, precision = 0.01):
"""
Searches for mu in order to give the desired charge
@ -715,7 +757,6 @@ class SumkLDA:
"""
F = lambda mu : self.total_density(mu = mu)
density = self.density_required - self.charge_below
self.chemical_potential = dichotomy.dichotomy(function = F,
@ -725,62 +766,7 @@ class SumkLDA:
verbosity = 3)[0]
return self.chemical_potential
def extract_G_loc(self, mu=None, with_Sigma = True):
"""
Extracts the local downfolded Green function at the chemical potential of the class.
At the end, the local G is rotated from the global coordinate system to the local system.
if with_Sigma = False: Sigma is not included => non-interacting local GF
"""
if mu is None: mu = self.chemical_potential
Gloc = [ self.Sigma_imp[icrsh].copy() for icrsh in range(self.n_corr_shells) ] # this list will be returned
for icrsh in range(self.n_corr_shells): Gloc[icrsh].zero() # initialize to zero
beta = Gloc[0].mesh.beta
ikarray=numpy.array(range(self.n_k))
for ik in mpi.slice_array(ikarray):
S = self.lattice_gf_matsubara(ik=ik,mu=mu,with_Sigma = with_Sigma, beta = beta)
S *= self.bz_weights[ik]
for icrsh in range(self.n_corr_shells):
tmp = Gloc[icrsh].copy() # init temporary storage
for bname,gf in tmp: tmp[bname] << self.downfold(ik,icrsh,bname,S[bname],gf)
Gloc[icrsh] += tmp
#collect data from mpi:
for icrsh in range(self.n_corr_shells):
Gloc[icrsh] << mpi.all_reduce(mpi.world, Gloc[icrsh], lambda x,y : x+y)
mpi.barrier()
# Gloc[:] is now the sum over k projected to the local orbitals.
# here comes the symmetrisation, if needed:
if self.symm_op != 0: Gloc = self.symmcorr.symmetrize(Gloc)
# Gloc is rotated to the local coordinate system:
if self.use_rotations:
for icrsh in range(self.n_corr_shells):
for bname,gf in Gloc[icrsh]: Gloc[icrsh][bname] << self.rotloc(icrsh,gf,direction='toLocal')
# transform to CTQMC blocks:
Glocret = [ BlockGf( name_block_generator = [ (block,GfImFreq(indices = inner, mesh = Gloc[0].mesh)) for block,inner in self.gf_struct_solver[ish].iteritems() ],
make_copies = False) for ish in range(self.n_inequiv_shells) ]
for ish in range(self.n_inequiv_shells):
for block,inner in self.gf_struct_solver[ish].iteritems():
for ind1 in inner:
for ind2 in inner:
block_sumk,ind1_sumk = self.solver_to_sumk[ish][(block,ind1)]
block_sumk,ind2_sumk = self.solver_to_sumk[ish][(block,ind2)]
Glocret[ish][block][ind1,ind2] << Gloc[self.inequiv_to_corr[ish]][block_sumk][ind1_sumk,ind2_sumk]
# return only the inequivalent shells:
return Glocret
def calc_density_correction(self,filename = 'dens_mat.dat'):
""" Calculates the density correction in order to feed it back to the DFT calculations."""
@ -788,21 +774,17 @@ class SumkLDA:
assert type(filename) == StringType, "filename has to be a string!"
ntoi = self.spin_names_to_ind[self.SO]
bln = self.spin_block_names[self.SO]
spn = self.spin_block_names[self.SO]
dens = {sp: 0.0 for sp in spn}
# Set up deltaN:
deltaN = {}
for b in bln:
deltaN[b] = [ numpy.zeros( [self.n_orbitals[ik,ntoi[b]],self.n_orbitals[ik,ntoi[b]]], numpy.complex_) for ik in range(self.n_k)]
ikarray=numpy.array(range(self.n_k))
dens = {}
for b in bln:
dens[b] = 0.0
for sp in spn:
deltaN[sp] = [numpy.zeros([self.n_orbitals[ik,ntoi[sp]],self.n_orbitals[ik,ntoi[sp]]], numpy.complex_) for ik in range(self.n_k)]
ikarray = numpy.array(range(self.n_k))
for ik in mpi.slice_array(ikarray):
S = self.lattice_gf_matsubara(ik=ik,mu=self.chemical_potential)
S = self.lattice_gf_matsubara(ik = ik, mu = self.chemical_potential)
for bname,gf in S:
deltaN[bname][ik] = S[bname].density()
dens[bname] += self.bz_weights[ik] * S[bname].total_density()
@ -817,10 +799,10 @@ class SumkLDA:
# now save to file:
if mpi.is_master_node():
if self.SP == 0:
f=open(filename,'w')
f = open(filename,'w')
else:
f=open(filename+'up','w')
f1=open(filename+'dn','w')
f = open(filename+'up','w')
f1 = open(filename+'dn','w')
# write chemical potential (in Rydberg):
f.write("%.14f\n"%(self.chemical_potential/self.energy_unit))
if self.SP != 0: f1.write("%.14f\n"%(self.chemical_potential/self.energy_unit))
@ -847,7 +829,7 @@ class SumkLDA:
if self.SO == 0: to_write = {f: (0, 'up'), f1: (1, 'down')}
if self.SO == 1: to_write = {f: (0, 'ud'), f1: (0, 'ud')}
for fout in to_write.iterkeys():
isp, bn = to_write[fout]
isp, sp = to_write[fout]
for ik in range(self.n_k):
fout.write("%s\n"%self.n_orbitals[ik,isp])
for inu in range(self.n_orbitals[ik,isp]):
@ -859,7 +841,6 @@ class SumkLDA:
return deltaN, dens
################
# FIXME LEAVE UNDOCUMENTED
################
@ -868,7 +849,7 @@ class SumkLDA:
def find_mu_nonint(self, dens_req, orb = None, precision = 0.01):
def F(mu):
gnonint = self.extract_G_loc(mu=mu,with_Sigma=False)
gnonint = self.extract_G_loc(mu = mu, with_Sigma = False)
if orb is None:
dens = 0.0
@ -897,9 +878,9 @@ class SumkLDA:
mu = self.chemical_potential
def F(dc):
self.set_dc(dens_mat=dens_mat,U_interact=0,J_hund=0,orb=orb,use_val=dc)
self.set_dc(dens_mat = dens_mat, U_interact = 0, J_hund = 0, orb = orb, use_val = dc)
if dens_req is None:
return self.total_density(mu=mu)
return self.total_density(mu = mu)
else:
return self.extract_G_loc()[orb].total_density()
@ -911,8 +892,8 @@ class SumkLDA:
dcnew = dichotomy.dichotomy(function = F,
x_init = guess, y_value = density,
precision_on_y = precision, delta_x=0.5,
max_loops = 100, x_name="Double-Counting", y_name= "Total Density",
precision_on_y = precision, delta_x = 0.5,
max_loops = 100, x_name = "Double Counting", y_name= "Total Density",
verbosity = 3)[0]
return dcnew

58
python/sumk_lda_tools.py
View File

@ -86,19 +86,19 @@ class SumkLDATools(SumkLDA):
present and with_Sigma=True, the mesh is taken from Sigma. Otherwise, the mesh has to be given."""
ntoi = self.spin_names_to_ind[self.SO]
bln = self.spin_block_names[self.SO]
spn = self.spin_block_names[self.SO]
if not hasattr(self,"Sigma_imp"): with_Sigma=False
if with_Sigma:
assert all(type(gf) == GfReFreq for bname,gf in self.Sigma_imp[0]), "Real frequency Sigma needed for lattice_gf_realfreq!"
stmp = self.add_dc()
else:
assert (not (mesh is None)),"Without Sigma, give the mesh=(om_min,om_max,n_points) for lattice_gf_realfreq!"
assert (not mesh is None),"Without Sigma, give the mesh=(om_min,om_max,n_points) for lattice_gf_realfreq!"
if self.G_upfold_refreq is None:
# first setting up of G_upfold_refreq
block_structure = [ range(self.n_orbitals[ik,ntoi[b]]) for b in bln ]
gf_struct = [ (bln[ibl], block_structure[ibl]) for ibl in range(self.n_spin_blocks[self.SO]) ]
block_structure = [ range(self.n_orbitals[ik,ntoi[sp]]) for sp in spn ]
gf_struct = [ (spn[isp], block_structure[isp]) for isp in range(self.n_spin_blocks[self.SO]) ]
block_ind_list = [block for block,inner in gf_struct]
if with_Sigma:
glist = lambda : [ GfReFreq(indices = inner, mesh=self.Sigma_imp[0].mesh) for block,inner in gf_struct]
@ -108,12 +108,12 @@ class SumkLDATools(SumkLDA):
self.G_upfold_refreq.zero()
GFsize = [ gf.N1 for bname,gf in self.G_upfold_refreq]
unchangedsize = all( [ self.n_orbitals[ik,ntoi[bln[ibl]]] == GFsize[ibl]
for ibl in range(self.n_spin_blocks[self.SO]) ] )
unchangedsize = all( [ self.n_orbitals[ik,ntoi[spn[isp]]] == GFsize[isp]
for isp in range(self.n_spin_blocks[self.SO]) ] )
if not unchangedsize:
block_structure = [ range(self.n_orbitals[ik,ntoi[b]]) for b in bln ]
gf_struct = [ (bln[ibl], block_structure[ibl]) for ibl in range(self.n_spin_blocks[self.SO]) ]
block_structure = [ range(self.n_orbitals[ik,ntoi[sp]]) for sp in spn ]
gf_struct = [ (spn[isp], block_structure[isp]) for isp in range(self.n_spin_blocks[self.SO]) ]
block_ind_list = [block for block,inner in gf_struct]
if with_Sigma:
glist = lambda : [ GfReFreq(indices = inner, mesh =self.Sigma_imp[0].mesh) for block,inner in gf_struct]
@ -122,14 +122,14 @@ class SumkLDATools(SumkLDA):
self.G_upfold_refreq = BlockGf(name_list = block_ind_list, block_list = glist(),make_copies=False)
self.G_upfold_refreq.zero()
idmat = [numpy.identity(self.n_orbitals[ik,ntoi[b]],numpy.complex_) for b in bln]
idmat = [numpy.identity(self.n_orbitals[ik,ntoi[sp]],numpy.complex_) for sp in spn]
self.G_upfold_refreq << Omega + 1j*broadening
M = copy.deepcopy(idmat)
for ibl in range(self.n_spin_blocks[self.SO]):
ind = ntoi[bln[ibl]]
for isp in range(self.n_spin_blocks[self.SO]):
ind = ntoi[spn[isp]]
n_orb = self.n_orbitals[ik,ind]
M[ibl] = self.hopping[ik,ind,0:n_orb,0:n_orb] - (idmat[ibl]*mu) - (idmat[ibl] * self.h_field * (1-2*ibl))
M[isp] = self.hopping[ik,ind,0:n_orb,0:n_orb] - (idmat[isp]*mu) - (idmat[isp] * self.h_field * (1-2*isp))
self.G_upfold_refreq -= M
if with_Sigma:
@ -166,9 +166,9 @@ class SumkLDATools(SumkLDA):
# init:
Gloc = []
for icrsh in range(self.n_corr_shells):
b_list = [block for block,inner in self.gf_struct_sumk[icrsh]]
spn = self.spin_block_names[self.corr_shells[icrsh][4]]
glist = lambda : [ GfReFreq(indices = inner, window = (om_min,om_max), n_points = n_om) for block,inner in self.gf_struct_sumk[icrsh]]
Gloc.append(BlockGf(name_list = b_list, block_list = glist(),make_copies=False))
Gloc.append(BlockGf(name_list = spn, block_list = glist(),make_copies=False))
for icrsh in range(self.n_corr_shells): Gloc[icrsh].zero() # initialize to zero
for ik in range(self.n_k):
@ -246,7 +246,7 @@ class SumkLDATools(SumkLDA):
mu = self.chemical_potential
gf_struct_proj = [ [ (b, range(self.shells[i][3])) for b in self.spin_block_names[self.SO] ] for i in range(self.n_shells) ]
gf_struct_proj = [ [ (sp, range(self.shells[i][3])) for sp in self.spin_block_names[self.SO] ] for i in range(self.n_shells) ]
Gproj = [BlockGf(name_block_generator = [ (block,GfReFreq(indices = inner, mesh = self.Sigma_imp[0].mesh)) for block,inner in gf_struct_proj[ish] ], make_copies = False )
for ish in range(self.n_shells)]
for ish in range(self.n_shells): Gproj[ish].zero()
@ -366,7 +366,7 @@ class SumkLDATools(SumkLDA):
# calculate A(k,w):
mu = self.chemical_potential
bln = self.spin_block_names[self.SO]
spn = self.spin_block_names[self.SO]
# init DOS:
M = [x.real for x in self.Sigma_imp[0].mesh]
@ -381,19 +381,19 @@ class SumkLDATools(SumkLDA):
if ishell is None:
Akw = {}
for b in bln: Akw[b] = numpy.zeros([self.n_k, n_om ],numpy.float_)
for sp in spn: Akw[sp] = numpy.zeros([self.n_k, n_om ],numpy.float_)
else:
Akw = {}
for b in bln: Akw[b] = numpy.zeros([self.shells[ishell][3],self.n_k, n_om ],numpy.float_)
for sp in spn: Akw[sp] = numpy.zeros([self.shells[ishell][3],self.n_k, n_om ],numpy.float_)
if fermi_surface:
om_minplot = -2.0*broadening
om_maxplot = 2.0*broadening
Akw = {}
for b in bln: Akw[b] = numpy.zeros([self.n_k,1],numpy.float_)
for sp in spn: Akw[sp] = numpy.zeros([self.n_k,1],numpy.float_)
if not (ishell is None):
GFStruct_proj = [ (b, range(self.shells[ishell][3])) for b in bln ]
if not ishell is None:
GFStruct_proj = [ (sp, range(self.shells[ishell][3])) for sp in spn ]
Gproj = BlockGf(name_block_generator = [ (block,GfReFreq(indices = inner, mesh = self.Sigma_imp[0].mesh)) for block,inner in GFStruct_proj ], make_copies = False)
Gproj.zero()
@ -428,7 +428,7 @@ class SumkLDATools(SumkLDA):
for iom in range(n_om):
if (M[iom] > om_minplot) and (M[iom] < om_maxplot):
for ish in range(self.shells[ishell][3]):
for ibn in bln:
for ibn in spn:
Akw[ibn][ish,ik,iom] = Gproj[ibn].data[iom,ish,ish].imag/(-3.1415926535)
@ -436,7 +436,7 @@ class SumkLDATools(SumkLDA):
if mpi.is_master_node():
if ishell is None:
for ibn in bln:
for ibn in spn:
# loop over GF blocs:
if invert_Akw:
@ -470,7 +470,7 @@ class SumkLDATools(SumkLDA):
f.close()
else:
for ibn in bln:
for ibn in spn:
for ish in range(self.shells[ishell][3]):
if invert_Akw:
@ -503,13 +503,13 @@ class SumkLDATools(SumkLDA):
if self.symm_op: self.symmpar = Symmetry(self.hdf_file,subgroup=self.symmpar_data)
# Density matrix in the window
bln = self.spin_block_names[self.SO]
spn = self.spin_block_names[self.SO]
ntoi = self.spin_names_to_ind[self.SO]
self.dens_mat_window = [ [numpy.zeros([self.shells[ish][3],self.shells[ish][3]],numpy.complex_) for ish in range(self.n_shells)]
for isp in range(len(bln)) ] # init the density matrix
for isp in range(len(spn)) ] # init the density matrix
mu = self.chemical_potential
GFStruct_proj = [ [ (b, range(self.shells[i][3])) for b in bln ] for i in range(self.n_shells) ]
GFStruct_proj = [ [ (sp, range(self.shells[i][3])) for sp in spn ] for i in range(self.n_shells) ]
if hasattr(self,"Sigma_imp"):
Gproj = [BlockGf(name_block_generator = [ (block,GfImFreq(indices = inner, mesh = self.Sigma_imp[0].mesh)) for block,inner in GFStruct_proj[ish] ], make_copies = False)
for ish in range(self.n_shells)]
@ -553,7 +553,7 @@ class SumkLDATools(SumkLDA):
isp+=1
# add Density matrices to get the total:
dens_mat = [ [ self.dens_mat_below[ntoi[bln[isp]]][ish]+self.dens_mat_window[isp][ish] for ish in range(self.n_shells)]
for isp in range(len(bln)) ]
dens_mat = [ [ self.dens_mat_below[ntoi[spn[isp]]][ish]+self.dens_mat_window[isp][ish] for ish in range(self.n_shells)]
for isp in range(len(spn)) ]
return dens_mat