Python codes for XY model simulation.
A python program used for Monte Carlo simulation (Metropolis algorithm) of XY model.
What are the outputs?
- equilibrium spin configuration in differnet temperature
- thermal quantities of XY spin system in different temperature
How to use this program
import the class
from XY_model import XYSystem
creating an object as a X-Y spin system with given width and temperature
XYSystem(temperature = , width = ) to creat a class object. Two variables can be assigned to initilize the system: the temperature and the width.
xy_system_1 = XYSystem(temperature = 0.5, width = 15)
visulizingthe spin system
.show() to visulize the xy spin system as arrows on a two-dimensional plane.
xy_system_1.show() print('Energy per spin:%.3f'%xy_system_1.energy)
Energy per spin:0.056
Now, let the system evolve to an equilibrium state
self.equilibrate(self,max_nsweeps=int(1e4),temperature=None,H=None,show = False)allows you to assign a new temperature, just simply do object.equilibrate(temperature = 3). If you want to keep the temperature defined before, leave it blank. And ·sohw=Ture` will let show the configuration of the system for each 1000 sweeps.
equilibrium state is reached at T=0.5 #sweep=504 energy=-1.72
Observing the thermal quantities in different temperature - annealing approach
xy_system_2 = XYSystem(width=7) cool_dat=xy_system_2.annealing(T_init=2.5,T_final=0.1,nsteps = 10,show_equi=True)
equilibrium state is reached at T=2.5 #sweep=6802 energy=-0.48
equilibrium state is reached at T=2.2 #sweep=3429 energy=-0.48
equilibrium state is reached at T=2.0 #sweep=9999 energy=-0.47
equilibrium state is reached at T=1.7 #sweep=2809 energy=-0.60
equilibrium state is reached at T=1.4 #sweep=989 energy=-0.74
equilibrium state is reached at T=1.2 #sweep=2253 energy=-1.35
equilibrium state is reached at T=0.9 #sweep=636 energy=-1.68
equilibrium state is reached at T=0.6 #sweep=837 energy=-1.72
equilibrium state is reached at T=0.4 #sweep=548 energy=-1.86
equilibrium state is reached at T=0.1 #sweep=503 energy=-1.95