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dft_tools/test/pytriqs/base/pade.py
Olivier Parcollet f2c7d449cc First commit : triqs libs version 1.0 alpha1
for earlier commits, see TRIQS0.x repository.
2013-07-17 19:24:07 +02:00

60 lines
1.9 KiB
Python

################################################################################
#
# TRIQS: a Toolbox for Research in Interacting Quantum Systems
#
# Copyright (C) 2011 by M. Ferrero, O. Parcollet
#
# 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 numpy import array, arange
from math import pi
from cmath import sqrt, log
from pytriqs.gf.local import GfImFreq, GfReFreq
from pytriqs.gf.local.descriptors import Function
beta = 100 # Inverse temperature
L = 10 # Number of Matsubara frequencies used in the Pade approximation
eta = 0.01 # Imaginary frequency shift
## Test Green's functions ##
# Two Lorentzians
def GLorentz(z):
return 0.7/(z-2.6+0.3*1j) + 0.3/(z+3.4+0.1*1j)
# Semicircle
def GSC(z):
return 2.0*(z + sqrt(1-z**2)*(log(1-z) - log(-1+z))/pi)
# A superposition of GLorentz(z) and GSC(z) with equal weights
def G(z):
return 0.5*GLorentz(z) + 0.5*GSC(z)
# Matsubara GF
gm = GfImFreq(indices = [0], beta = beta, name = "gm")
gm <<= Function(G)
gm.tail.zero()
gm.tail[1] = array([[1.0]])
# Analytic continuation of gm
g_pade = GfReFreq(indices = [0], window = (-5.995, 5.995), n_points = 1200, name = "g_pade")
g_pade.set_from_pade(gm, n_points = L, freq_offset = eta)
from pytriqs.archive import HDFArchive
R = HDFArchive('pade.output.h5','w')
R['g_pade'] = g_pade