Pictures
I produced a few pictures (mostly for fun) of some statistical physic models. You can use all pictures at will, just tell me before you do so and indicate where they come from! The 3D pictures are obtained using POV-Ray.
I produced a few pictures (mostly for fun) of some statistical physic models. You can use all pictures at will, just tell me before you do so and indicate where they come from! The 3D pictures are obtained using POV-Ray.
Click on low resolution pictures for higher resolution.
Click on low resolution pictures for higher resolution.
Plus spins of an Ising model restricted to a 30x30x30 box, sampled in a 50x50x50 box using Glauber dynamic and coupling from the past.
Plus spins of an Ising model restricted to a 30x30x30 box, sampled in a 50x50x50 box using Glauber dynamic and coupling from the past.
High temperature, +1 bound. cond.
High temperature, -1 bound. cond.
Low temperature, +1 bound. cond.
Low temperature, -1 bound. cond.
Plus spins of a low temperature Ising model in a 35x35x35 box with Dobrushin boundary conditions. Sampled using Swedsen-Wang algorithm.
Plus spins of a low temperature Ising model in a 35x35x35 box with Dobrushin boundary conditions. Sampled using Swedsen-Wang algorithm.
Plus spins of a low temperature Ising model in a 50x50x50 box with Dobrushin boundary conditions. beta = 0.24. Sampled using Glauber dynamic and coupling from the past.
Plus spins of a low temperature Ising model in a 50x50x50 box with Dobrushin boundary conditions. beta = 0.24. Sampled using Glauber dynamic and coupling from the past.
Two dimensional Ising interfaces in an NxM box. Sampled using Swedsen-Wang algorithm.
Two dimensional Ising interfaces in an NxM box. Sampled using Swedsen-Wang algorithm.
beta=0.5, N=M=600, Dobrushin b.c.
beta=0.5, N=500, M=150, wall boundary conditions
LT two dimensional Potts (q=5) interfaces with a modified row of coupling constant. Sampled using Swedsen-Wang algorithm.
LT two dimensional Potts (q=5) interfaces with a modified row of coupling constant. Sampled using Swedsen-Wang algorithm.
J =1
J < 1
J>1
MDLA in dimension two in a box of side N.
MDLA in dimension two in a box of side N.
p=0.2, N=300
p=0.3, N=250
p=0.5, N=300