ALPS 2 Tutorials:DWA-02 Density Profile
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Revision as of 15:57, 16 September 2013 by Tamama (talk | contribs) (→Preparing and running the simulation from Python)
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Density profile
As a second example of the dwa QMC code, we will study the density profile of an optical lattice in an harmonic trap which resembles the experiment
Mimicking the experiment
Preparing and running the simulation from the command line
The parameter file parm2a sets up Monte Carlo simulation of a 1003 optical lattice trap that mimicks the Bloch experiment:
LATTICE="inhomogeneous simple cubic lattice" L=100 MODEL='boson Hubbard" Nmax=20 t=1. U=8.11 mu="4.05 - (0.0073752*(x-(L-1)/2.)*(x-(L-1)/2.) + 0.0036849*(y-(L-1)/2.)*(y-(L-1)/2.) + 0.0039068155*(z-(L-1)/2.)*(z-(L-1)/2.))" THERMALIZATION=50000 SWEEPS=200000 SKIP=100 MEASURE[Local Density]=1 { T=1. }
Using the standard sequence of commands you can run the simulation using the quantum dwa code
parameter2xml parm2a dwa parm2a.in.xml
Preparing and running the simulation from Python
To set up and run the simulation in Python we use the script tutorial2a.py. The first parts of this script imports the required modules and then prepares the input files as a list of Python dictionaries:
import pyalps parms = [ { 'LATTICE' : 'inhomogeneous simple cubic lattice' , 'L' : 100 , 'MODEL' : 'boson Hubbard' , 'Nmax' : 20 , 't' : 1. , 'U' : 8.11 , 'mu' : '4.05 - (0.0073752*(x-(L-1)/2.)*(x-(L-1)/2.) + 0.0036849*(y-(L-1)/2.)*(y-(L-1)/2.) + 0.0039068155*(z-(L-1)/2.)*(z-(L-1)/2.))' , 'T' : 1. ,
- 'THERMALIZATION' : 10000 ,
'SWEEPS' : 2000000 , 'SKIP' : 100 , 'MEASURE[Local Density]': 1 } ]
We next convert this into a job file in XML format and run the worm simulation:
input_file = pyalps.writeInputFiles('parm2a', parms) res = pyalps.runApplication('dwa', input_file)
We now have the same output files as in the command line version.