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https://github.com/triqs/dft_tools
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Added calculation of density matrices for a shell
A method 'density_matrix()' for evaluating a density matrix of a given shell has been added to class ProjectorShell. It requires an ElectronicStructure object as an input an by default produces a site- and spin-diagonal part of the density matrix using the Fermi-weights obtained directly from VASP. Ideally, this density matrix should coincide with the one calculated within VASP itself (inside the LDA+U module). Corresponding sanity test has been added, which shows only that the calculation does not crash. Real numerical tests are needed.
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@ -15,6 +15,7 @@ class ElectronicStructure:
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- *efermi* (float) : Fermi level read from DOSCAR
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- *proj_raw* (array[complex]) : raw projectors from PLOCAR
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- *eigvals* (array[float]) : KS eigenvalues
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- *ferw* (array[float]) : Fermi weights from VASP
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- *kmesh* (dict) : parameters of the `k`-mesh
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- *structure* (dict) : parameters of the crystal structure
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- *symmetry* (dict) : paramters of symmetry
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@ -29,12 +30,12 @@ class ElectronicStructure:
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self.kmesh = {'nktot': self.nktot}
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self.kmesh['kpoints'] = vasp_data.kpoints.kpts
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self.kmesh['kwights'] = vasp_data.eigenval.kwghts
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self.kmesh['kweights'] = vasp_data.eigenval.kwghts
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try:
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self.kmesh['ntet'] = vasp_data.kpoints.ntet
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self.kmesh['itet'] = vasp_data.kpoints.itet
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self.kmesh['volt'] = vasp_data.kpoints.volt
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except NameError:
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except AttributeError:
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pass
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# Note that one should not subtract this Fermi level from eigenvalues
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@ -55,6 +56,11 @@ class ElectronicStructure:
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# [see ProjectorGroup.orthogonalization()]
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self.proj_raw = vasp_data.plocar.plo.transpose((0, 1, 2, 4, 3))
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# In fact, Fermi weights do not depend on ions
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# FIXME: restructure the data in PLOCAR to remove the redundant dependency
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# of 'ferw' on ions
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self.ferw = vasp_data.plocar.ferw[0, :, :, :]
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# Check that the number of atoms is the same in PLOCAR and POSCAR
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natom_plo = vasp_data.plocar.params['nion']
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assert natom_plo == self.natom, "PLOCAR is inconsistent with POSCAR (number of atoms)"
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@ -1,4 +1,5 @@
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import itertools as it
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import numpy as np
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class Projector:
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@ -292,6 +293,39 @@ class ProjectorShell:
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ib2_win = ib2 - self.nb_min
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self.proj_win[:, isp, ik, :, ib1_win:ib2_win] = self.proj_arr[:, isp, ik, :, ib1:ib2]
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################################################################################
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#
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# select_projectors
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#
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################################################################################
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def density_matrix(self, el_struct, site_diag=True, spin_diag=True):
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"""
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Returns occupation matrix/matrices for the shell.
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"""
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nion, ns, nk, nlm, nbtot = self.proj_win.shape
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assert site_diag, "site_diag = False is not implemented"
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assert spin_diag, "spin_diag = False is not implemented"
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occ_mats = np.zeros((ns, nion, nlm, nlm), dtype=np.float64)
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kweights = el_struct.kmesh['kweights']
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occnums = el_struct.ferw
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ib1 = self.nb_min
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ib2 = self.nb_max + 1
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for isp in xrange(ns):
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for ik, weight, occ in it.izip(it.count(), kweights, occnums[isp, :, :]):
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for io in xrange(nion):
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proj_k = self.proj_win[isp, io, ik, ...]
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occ_mats[isp, io, :, :] += np.dot(proj_k * occ[ib1:ib2],
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proj_k.conj().T).real * weight
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# if not symops is None:
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# occ_mats = symmetrize_matrix_set(occ_mats, symops, ions, perm_map)
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return occ_mats
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def generate_ortho_plos(conf_pars, vasp_data):
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"""
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@ -54,7 +54,9 @@ class Plocar:
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Properties
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----------
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plo (numpy.array((nion, ns, nk, nb, nlmmax))) : raw projectors
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- *plo* (numpy.array((nion, ns, nk, nb, nlmmax))) : raw projectors
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- *params* (dict) : parameters read from PLOCAR
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- *ferw* (array(nion, ns, nk, nb)) : Fermi weights from VASP
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"""
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def from_file(self, vasp_dir='./', plocar_filename='PLOCAR'):
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@ -206,11 +208,11 @@ class Kpoints:
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Properties
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----------
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nktot (int) : total number of k-points in the IBZ
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kpts (numpy.array((nktot, 3), dtype=float)) : k-point vectors (fractional coordinates)
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ntet (int) : total number of k-point tetrahedra
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itet (numpy.array((ntet, 5), dtype=float) : array of tetrahedra
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volt (float) : volume of a tetrahedron (the k-grid is assumed to
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- nktot (int) : total number of k-points in the IBZ
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- kpts (numpy.array((nktot, 3), dtype=float)) : k-point vectors (fractional coordinates)
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- ntet (int) : total number of k-point tetrahedra
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- itet (numpy.array((ntet, 5), dtype=float) : array of tetrahedra
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- volt (float) : volume of a tetrahedron (the k-grid is assumed to
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be uniform)
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"""
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#
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@ -46,7 +46,9 @@ class TestProjectorGroup(mytest.MyTestCase):
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ib1 = self.proj_gr.ib_win[ik, 0, 0]
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ib2 = self.proj_gr.ib_win[ik, 0, 1]
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f.write("%i %i\n"%(ib1, ib2))
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for ib in xrange(ib2 - self.proj_gr.nb_min + 1):
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ib1w = ib1 - self.proj_gr.nb_min
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ib2w = ib2 - self.proj_gr.nb_min + 1
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for ib in xrange(ib1w, ib2w):
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for ilm in xrange(nlm):
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p = self.proj_gr.shells[0].proj_win[ion, isp, ik, ilm, ib]
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f.write("%5i %s\n"%(ilm+1, p))
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@ -65,7 +67,9 @@ class TestProjectorGroup(mytest.MyTestCase):
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ib1 = self.proj_gr.ib_win[ik, 0, 0]
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ib2 = self.proj_gr.ib_win[ik, 0, 1]
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f.write("%i %i\n"%(ib1, ib2))
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for ib in xrange(ib2 - self.proj_gr.nb_min + 1):
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ib1w = ib1 - self.proj_gr.nb_min
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ib2w = ib2 - self.proj_gr.nb_min + 1
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for ib in xrange(ib1w, ib2w):
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for ilm in xrange(nlm):
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p = self.proj_gr.shells[0].proj_win[ion, isp, ik, ilm, ib]
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f.write("%5i %s\n"%(ilm+1, p))
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@ -1,6 +1,7 @@
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import numpy as np
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import vaspio
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import elstruct
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from inpconf import ConfigParameters
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from plotools import select_bands, ProjectorShell
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import mytest
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@ -18,6 +19,7 @@ class TestProjectorShell(mytest.MyTestCase):
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Scenarios:
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- compare output for a correct input
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- test density matrix
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"""
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# Scenario 1
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def test_example(self):
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@ -53,4 +55,32 @@ class TestProjectorShell(mytest.MyTestCase):
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expected_file = 'projshells.out'
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self.assertFileEqual(testout, expected_file)
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# Scenario 2
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def test_dens_mat(self):
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conf_file = 'example.cfg'
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pars = ConfigParameters(conf_file)
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pars.parse_input()
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vasp_data = vaspio.VaspData('./')
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el_struct = elstruct.ElectronicStructure(vasp_data)
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efermi = el_struct.efermi
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eigvals = el_struct.eigvals - efermi
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emin = pars.groups[0]['emin']
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emax = pars.groups[0]['emax']
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ib_win, nb_min, nb_max = select_bands(eigvals, emin, emax)
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proj_sh = ProjectorShell(pars.shells[0], vasp_data.plocar.plo)
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proj_sh.select_projectors(ib_win, nb_min, nb_max)
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dens_mat = proj_sh.density_matrix(el_struct)
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print dens_mat
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testout = 'densmat.out.test'
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with open(testout, 'wt') as f:
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f.write("density matrix: %s\n"%(dens_mat))
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expected_file = 'densmat.out'
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self.assertFileEqual(testout, expected_file)
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