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https://github.com/triqs/dft_tools
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Added untested version of 'ProjectorShell' class
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@ -3,7 +3,7 @@
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# You can set these variables from the command line.
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SPHINXOPTS =
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SPHINXBUILD = sphinx-build-2.7
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SPHINXBUILD = sphinx-build
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PAPER =
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BUILDDIR = build
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@ -117,10 +117,10 @@ def select_bands(eigvals, emin, emax):
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################################################################################
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#
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# class ProjectorSet
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# class ProjectorGroup
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#
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################################################################################
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class ProjectorSet:
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class ProjectorGroup:
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"""
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Container of projectors defined within a certain energy window.
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@ -192,6 +192,71 @@ class ProjectorSet:
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for ion, ion_sel in enumerate(pars['ion_list']):
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self.proj_set[ion, isp, ik, ib1_win:ib2_win, :] = proj_raw[ion_sel, isp, ik, ib1:ib2, self.lm_l]
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################################################################################
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################################################################################
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#
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# class ProjectorShell
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#
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################################################################################
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################################################################################
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class ProjectorShell:
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"""
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Container of projectors related to a specific shell.
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The constructor pre-selects a subset of projectors according to
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the shell parameters passed from the config-file.
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Parameters:
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- pars (dict) : dictionary of parameters from the config-file for a given PLO group
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- proj_raw (numpy.array) : array of raw projectors
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- eigvals (numpy.array) : array of KS eigenvalues
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"""
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def __init__(self, sh_pars, proj_raw):
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self.lorb = sh_pars['lshell']
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self.ion_list = sh_pars['ion_list']
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try:
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self.tmatrix = sh_pars['tmatrix']
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except KeyError:
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self.tmatrix = None
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self.lm1 = self.lorb**2
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self.lm2 = (self.lorb+1)**2
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# Pre-select a subset of projectors
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self.proj_arr = proj_raw[self.ion_list, :, :, :, lm1:lm2]
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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 select_projectors(self, ib_win, nb_min, nb_max):
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"""
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Selects a subset of projectors corresponding to a given energy window.
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"""
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self.ib_win = ib_win
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self.nb_min = nb_min
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self.nb_max = nb_max
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# Set the dimensions of the array
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nb_win = self.nb_max - self.nb_min + 1
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nion, ns, nk, nbtot, nlm = self.proj_arr.shape
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self.proj_win = np.zeros((nion, ns, nk, nb_win, nlm), dtype=np.complex128)
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# Select projectors for a given energy window
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ns_band = self.ib_win.shape[1]
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for isp in xrange(ns):
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for ik in xrange(nk):
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# TODO: for non-collinear case something else should be done here
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is_b = min(isp, ns_band)
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ib1 = self.ib_win[ik, is_b, 0]
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ib2 = self.ib_win[ik, is_b, 1] + 1
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ib1_win = ib1 - self.nb_min
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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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def generate_ortho_plos(conf_pars, vasp_data):
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"""
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@ -205,11 +270,16 @@ def generate_ortho_plos(conf_pars, vasp_data):
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check_vasp_data_consistency(vasp_data)
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proj_raw = vaps_data['plocar'].plo
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try:
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efermi = conf_pars.general['efermi']
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except KeyError:
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efermi = vasp_data['doscar'].efermi
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# eigvals(nktot, nband, ispin) are defined with respect to the Fermi level
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eigvals = vasp_data['eigenval'].eigs - efermi
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proj_set_l = []
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for pars in conf_pars:
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proj_set = select_projectors(pars, proj_raw, eigvals)
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shells = []
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for sh_par in conf_pars.shells:
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shells.append(ProjectorShell(sh_par, proj_raw))
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