Esempio n. 1
0
#!/usr/bin/python2
# -*- coding:utf-8 -*-
# Author: Sebastian Weber, 5 PI Universitaet Stuttgart
# some additions by: Patrick Kreissl, ICP Universitaet Stuttgart

from __future__ import division
from libs.simlib import Plotter, Params, Fitter
import numpy as np
import subprocess
import os.path

# SETUP ###################################################################################################
print '==Setup=='

params = Params()

params.Ising_J = 1
params.Ising_H = 0

params.MC_Seed = 42
params.MC_Sweeps = 10000

params.T_Start = 2.27 # << estimated critical Temperature
params.T_Stop = params.T_Start
params.T_StepSize = 0.01 # only 0.02 would be needed

Ising_L = [4,16,32,64,128]
Binning_K = [50,200,800,800,800]

useCache = True
Esempio n. 2
0
#!/usr/bin/python2
# -*- coding:utf-8 -*-
# Author: Sebastian Weber, 5 PI Universitaet Stuttgart
# some additions by: Patrick Kreissl, ICP Universitaet Stuttgart

from __future__ import division
from libs.simlib import Plotter, Params
import numpy as np
import subprocess
import os.path

# SETUP ###################################################################################################
print '==Setup=='

params = Params()

params.Ising_J = 1
params.Ising_H = 0

params.MC_Seed = 42
params.MC_Sweeps = 100000

params.T_Start = 1
params.T_Stop = 3
params.T_StepSize = 0.1

Ising_L = [4,8,16,32,64]
Binning_K = [50,100,200,400,800]

useCache = True
Esempio n. 3
0
#!/usr/bin/python2
# -*- coding:utf-8 -*-
# Author: Sebastian Weber, 5 PI Universitaet Stuttgart
# some additions by: Patrick Kreissl, ICP Universitaet Stuttgart

from __future__ import division
from libs.simlib import Plotter, Params
import numpy as np
import subprocess
import os.path

# SETUP ###################################################################################################
print '==Setup=='

params = Params()

params.Ising_J = 1
params.Ising_H = 0

params.MC_Seed = 42
params.MC_Sweeps = 10000

params.T_Start = 2
params.T_Stop = 2.4
params.T_StepSize = 0.005 # only 0.02 would be needed

Ising_L = [4,16,64]
Binning_K = [50,200,800]

useCache = True