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https://github.com/triqs/dft_tools
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![Manuel Zingl](/assets/img/avatar_default.png)
build_sigma_from_txt.py deleted as reading a gf from a file is now implemented in gf.local.tools
34 lines
1.2 KiB
Python
34 lines
1.2 KiB
Python
from pytriqs.archive import *
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from pytriqs.gf.local import *
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from pytriqs.gf.local.tools import *
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from pytriqs.applications.dft.sumk_dft_tools import *
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import numpy as np
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# Read self energy from hdf file
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ar = HDFArchive('SrVO3_Sigma.h5','r')
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Sigma_hdf = ar['dmft_transp_input']['Sigma_w']
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# Save self energy to txt files
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for name, s in Sigma_hdf:
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mesh = np.array([p for p in s.mesh]).reshape(-1,1).real
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re_data = s.data.real.reshape((s.data.shape[0],-1))
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im_data = s.data.imag.reshape((s.data.shape[0],-1))
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mesh_a_data = np.hstack((mesh,re_data,im_data))
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np.savetxt('Sigma_' + name + '.dat', mesh_a_data)
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# Read self energy from txt files
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SK = SumkDFTTools(hdf_file = 'SrVO3.h5', use_dft_blocks = True)
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a_list = [a for a,al in SK.gf_struct_solver[0].iteritems()]
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g_list = [read_gf_from_txt([['Sigma_' + a + '.dat']], a) for a in a_list]
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Sigma_txt = BlockGf(name_list = a_list, block_list = g_list, make_copies=False)
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SK.put_Sigma(Sigma_imp = [Sigma_txt])
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SK.hdf_file = 'sigma_from_file.output.h5'
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SK.save(['Sigma_imp_w'])
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if ((Sigma_txt - Sigma_hdf).real < 1e-6) & ((Sigma_txt - Sigma_hdf).imag < 1e-6):
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print 'Conversion: HDF -> TRIQS -> TXT -> TRIQS successful!'
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