def load_parms_from_file(filename):
parms = readParameters(filename)
for s in ('NSPINS', 'NFLAVORS', 'N_CUTOFF', 'N_MAX_FREQ', 'N_TAU',
'MEASURE',
'n_cycles', 'length_cycle', 'n_warmup_cycles', 'max_time'):
if s in parms: parms[s] = int(parms[s])
for s in ('BETA', 'U', 'J'):
if s in parms: parms[s] = float(parms[s])
return parms
return out
def get_density_matrix(beta, g):
nspins = size(g, 0)
nfreq = size(g, 1)
nflavors = size(g, 2)
density = zeros((nspins, nflavors, nflavors))
for s in range(nspins):
density[s] = 2./beta*real(sum(g[s], 0)) + 0.5*eye(nflavors)
return density
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='DMFT process.');
parser.add_argument('-p', dest='parmsfile', type = str, required = True, help='Parameter file');
parser.add_argument('-se', dest='sefilename', type = str, default = None, help='Matsubara frequency self energy');
args = parser.parse_args(sys.argv[1:]);
set_printoptions(linewidth=150, suppress=True, precision=4);
parms = readParameters(args.parmsfile);
beta = float(parms['BETA'])
iwn, g = getGavgFromSelfEnergy(parms, args.sefilename);
density = []
for ll in range(len(g)):
density.append(get_density_matrix(beta, g[ll]).flatten())
savetxt('density.dat', density)
from pytriqs.applications.impurity_solvers.cthyb_matrix import Solver
import pytriqs.utility.mpi as mpi
import sys, os, time
from share_fun import val_def, readParameters;
from numpy import *;
#
# Interface for TRIQS solver
# Caution: works for diagonal Weiss field only
#
# input data
parms = readParameters(sys.argv[1]);
NCOR = int(parms['NCOR']);
SPINS = 2; spins = ('up', 'dn');
BETA = float(parms['BETA']);
hyb_mat = genfromtxt(parms['HYB_MAT']+'.real')[:,1:] + 1j*genfromtxt(parms['HYB_MAT']+'.imag')[:,1:];
hyb_coefs = genfromtxt(parms['HYB_MAT']+'.tail');
MUvector = genfromtxt(parms['MU_VECTOR']);
solver_parms = {
'n_cycles' : int(parms['SWEEPS_EACH_NODE']),
'length_cycle' : int(parms['N_MEAS']),
'n_warmup_cycles' : int(parms['THERMALIZATION']),
'random_seed' : int(1e6*time.time()*(mpi.rank+1) % 1e6)
};
