3
0
mirror of https://github.com/triqs/dft_tools synced 2024-11-19 04:22:29 +01:00
dft_tools/test/sigma_from_file.py
2015-12-12 14:30:45 +01:00

56 lines
2.1 KiB
Python

################################################################################
#
# TRIQS: a Toolbox for Research in Interacting Quantum Systems
#
# Copyright (C) 2011 by M. Aichhorn, L. Pourovskii, V. Vildosola
#
# TRIQS is free software: you can redistribute it and/or modify it under the
# terms of the GNU General Public License as published by the Free Software
# Foundation, either version 3 of the License, or (at your option) any later
# version.
#
# TRIQS is distributed in the hope that it will be useful, but WITHOUT ANY
# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
# details.
#
# You should have received a copy of the GNU General Public License along with
# TRIQS. If not, see <http://www.gnu.org/licenses/>.
#
################################################################################
from pytriqs.archive import *
from pytriqs.gf.local import *
from pytriqs.gf.local.tools import *
from pytriqs.applications.dft.sumk_dft_tools import *
from pytriqs.utility.comparison_tests import *
import numpy as np
# Read self energy from hdf file
ar = HDFArchive('SrVO3_Sigma.h5','r')
Sigma_hdf = ar['dmft_transp_input']['Sigma_w']
# Save self energy to txt files
for name, s in Sigma_hdf:
mesh = np.array([p for p in s.mesh]).reshape(-1,1).real
re_data = s.data.real.reshape((s.data.shape[0],-1))
im_data = s.data.imag.reshape((s.data.shape[0],-1))
mesh_a_data = np.hstack((mesh,re_data,im_data))
np.savetxt('Sigma_' + name + '.dat', mesh_a_data)
# Read self energy from txt files
SK = SumkDFTTools(hdf_file = 'SrVO3.h5', use_dft_blocks = True)
a_list = [a for a,al in SK.gf_struct_solver[0].iteritems()]
g_list = [read_gf_from_txt([['Sigma_' + a + '.dat']], a) for a in a_list]
Sigma_txt = BlockGf(name_list = a_list, block_list = g_list, make_copies=False)
SK.set_Sigma([Sigma_txt])
SK.hdf_file = 'sigma_from_file.out.h5'
SK.save(['Sigma_imp_w'])
if ((Sigma_txt - Sigma_hdf).real < 1e-6) & ((Sigma_txt - Sigma_hdf).imag < 1e-6):
print 'Conversion: HDF -> TRIQS -> TXT -> TRIQS successful!'