Difference between revisions of "ALPS 2 Tutorials:MC-01 Equilibration"
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| + | We first convert the input parameters to XML and then run the application '''dwa''': | ||
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| + | parameter2xml parm1a | ||
| + | dwa parm1a.in.xml | ||
=== Using Python === | === Using Python === | ||
Script file [http://alps.comp-phys.org/static/tutorials2.1.0/mc-01b-equilibration/tutorial1a.py tutorial1a.py]: | Script file [http://alps.comp-phys.org/static/tutorials2.1.0/mc-01b-equilibration/tutorial1a.py tutorial1a.py]: | ||
Revision as of 16:04, 27 August 2013
Contents
Equilibration
Rule of thumb: All Monte Carlo simulations have to be equilibrated before taking measurements.
Example: Quantum Monte Carlo (directed worm algorithm) simulations
As an example, we consider a Quantum Monte Carlo simulation implemented in the directed worm algorithm for boson Hubbard model in square lattice geometry of size 202.
Using command line
The parameter file parm1a:
LATTICE="square lattice"
MODEL="boson Hubbard"
L=20
Nmax=20
t=1.
U=16.
mu=32.
THERMALIZATION=10000
SWEEPS=100000
SKIP=400
{T=1.0}
We first convert the input parameters to XML and then run the application dwa:
parameter2xml parm1a dwa parm1a.in.xml
Using Python
Script file tutorial1a.py:
