Difference between revisions of "ALPS 2 Tutorials:MC-01 Equilibration"

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(Using command line)
(Using command line)
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  {T=1.0}
 
  {T=1.0}
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We first convert the input parameters to XML and then run the application '''dwa''':
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parameter2xml parm1a
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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

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: