A high-performance(-ish) tool for running experiments on the Potts model.
Clone this repository by git clone https://github.com/apizzimenti/potts.git
and run sh setup.sh in your favorite terminal. This installs the potts package
(and its dependencies) globally in development mode, so any changes you make to
the source are reflected system-wide.
Use the test/ directory for testing code to go into the package. Sample code
is below. If the testing=True flag is passed to the call to SwendsonWang(),
then output directories are created (though they should already exist) where the
SwendsonWang class expects them to exist.
from potts import GraphLattice, GraphSwendsonWang, Chain
# Create the Lattice, then instantiate the Swendson-Wang model.
L = GraphLattice([32, 32], field=2)
model = GraphSwendsonWang()
initial = model.initial(L)
# Create the chain.
chain = Chain(L, model, initial, steps=10)
# Iterate over the chain.
for state in chain:
<do whatever>Using the imaging features, we can make pretty outputs, like this simulation of the Ising model on a 32x32 lattice at just below the critical temperature.
