# **************************************************************************** # # ALPS Project: Algorithms and Libraries for Physics Simulations # # ALPS Libraries # # Copyright (C) 2009-2010 by Matthias Troyer # # This software is part of the ALPS libraries, published under the ALPS # Library License; you can use, redistribute it and/or modify it under # the terms of the license, either version 1 or (at your option) any later # version. # # You should have received a copy of the ALPS Library License along with # the ALPS Libraries; see the file LICENSE.txt. If not, the license is also # available from http://alps.comp-phys.org/. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE, TITLE AND NON-INFRINGEMENT. IN NO EVENT # SHALL THE COPYRIGHT HOLDERS OR ANYONE DISTRIBUTING THE SOFTWARE BE LIABLE # FOR ANY DAMAGES OR OTHER LIABILITY, WHETHER IN CONTRACT, TORT OR OTHERWISE, # ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER # DEALINGS IN THE SOFTWARE. # # **************************************************************************** import pyalps import matplotlib.pyplot as plt import pyalps.plot #prepare the input parameters parms = [] for t in [0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1]: parms.append( { 'LATTICE' : "square lattice", 'MODEL' : "boson Hubbard", 'T' : 0.1, 'L' : 4 , 't' : t , 'mu' : 0.5, 'U' : 1.0 , 'NONLOCAL' : 0 , 'Nmax' : 2 , 'THERMALIZATION' : 10000, 'SWEEPS' : 500000 } ) #write the input file and run the simulation input_file = pyalps.writeInputFiles('parm5a',parms) res = pyalps.runApplication('worm',input_file,Tmin=5) #load the magnetization and collect it as function of field h data = pyalps.loadMeasurements(pyalps.getResultFiles(prefix='parm5a'),'Stiffness') rhos = pyalps.collectXY(data,x='t',y='Stiffness') #make plot plt.figure() pyalps.plot.plot(rhos) plt.xlabel('Hopping $t/U$') plt.ylabel('Superfluid density $\\rho _s$') plt.show()