Revision as of 19:19, 28 August 2013

Specific Heat

with fixed chemical potential

Using the command line

We consider, for instance, the parameter file parm1a that sets up, in command line, the directed worm algorithm for simulating the boson Hubbard model of a 20² lattice with square geometry.

LATTICE="square lattice"
MODEL="boson Hubbard"

L=20  
Nmax=20

t=1.
U=16.
mu=32.

THERMALIZATION=10000
SWEEPS=100000 
SKIP=400

{T=0.7}
{T=0.8}
{T=0.9}
{T=1.0}
{T=1.1}
{T=1.2}
{T=1.3}
{T=1.4}
{T=1.5}
{T=1.6}
{T=1.7}
{T=1.8}
{T=1.9}
{T=2.0}

We first convert the input parameters to XML and then run the application dwa:

parameter2xml parm1a
dwa parm1a.in.xml

Using Python

To set up, in Python, the directed worm algorithm for simulating the boson Hubbard model of a 20² lattice with square geometry, we use the script tutorial1a.py, which reads

import pyalps

parms = [];
for T in [0.7, 0.8, 0.9, 1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0]:
  parms.append({
    'LATTICE'         : "square lattice",          
    'MODEL'           : "boson Hubbard",
    'L'               : 20,
    'Nmax'            : 20,
    't'               : 1.,
    'U'               : 16.,
    'mu'              : 32.,
    'T'               : T,
    'THERMALIZATION'  : 10000,
    'SWEEPS'          : 100000,
    'SKIP'            : 400
  })

input_file = pyalps.writeInputFiles('parm1a',parms)
res = pyalps.runApplication('dwa',input_file)

Using Vistrails

To run the simulation in Vistrails open the file dwa-01-specifc-heat.vt.