forest-fire-PH4505

PH4505 Computational Physics Project - Forest Fire Simulation

Files Information

forest_fire_final.py

• Python script to run the forest-fire simulation
• Also, run various parameter change of the system (system size, p, p/f)
• Calculate the critical exponent

unfold_data.py

• Python script to 'unfold' the saved data and plotted the figure in the folder of relevant_file
• Calculate the critical exponent

DensityVs_fp.png

• Plot of tree density vs f/p for a system size of 50 by 50 and various choice of f and p

forest-size vary, fix p, pbf.png; forest-size vary, fix p, pbf1.png;forest-size vary, fix p, pbf2.png;forest-size vary, fix p, pbf3.png

• Plot of number of cluster given size and radius of cluster for different system size while setting p and p/f to be the same across comparison
• __pbf.png is for p/f = 10, p = 0.5
• __pbf1.png is for p/f = 100, p = 0.5
• __pbf2.png is for p/f = 10, p = 0.05
• __pbf3.png is for p/f = 100, p = 0.05
• Corresponding simulation data saved in the similar naming

fix forest-size, fix p, vary pbf.png;

• Plot of number of cluster given size and radius of cluster for different p/f value while setting p and system size to be the same across comparison
• Corresponding simulation data saved in the similar naming

forest-size vary, pbf vary, fix p.png; forest-size vary, pbf vary, fix p1.png

• Plot of number of cluster given size and radius of cluster for different system size and p/f value while setting p to be the same across comparison
• __pbf.png is for p = 0.5
• __pbf1.png is for p = 0.05

vary_immune1.npz

• Simulation data of forest fire given various value of additional immunity probability (from 0 [basic forest fire] to 1 [all tree immune from neighborhood fire])
• The summarized simulated data plotted and saved in the following figure AverageNumClusterVsImmune.png; (Average number of cluster as a function of immunity rate) ClusterSizeVsImmune.png; (Average cluster size as a function of immunity rate) DensityVsImmune.png; (Average tree density as a function of immunity rate)
• Data that involves immune rate included in simulation_result/immune_variation/immune###.
• immune###, the first number is number before decimal and the rest is after decimal

simulation_result folder

• Each folder named according to the parameter of the simulation
• 'forest-fire_#Rowsx#Cols_p_pbf_iteration'
  • #Rows, #Cols : The number of rows and columns in the system
  • p : The value of tree growth probability
  • pbf : The p/f value (or zeta in Jason's report)
  • iteration : The number of iteration for the simulation result
• Each folder contains their corresponding simulation data and figure