Bernoulli poisson.py

From Werner KRAUTH

Context

This page is part of my 2024 Beg Rohu Lectures on "The second Markov chain revolution" at the Summer School "Concepts and Methods of Statistical Physics" (3 - 15 June 2024).

Python program

import random, math
p = 0.7
lam = - math.log(1.0 - p)
N_trial = 1000000
count_a = 0
for iter in range(N_trial):
    t = -math.log(random.uniform(0., 1.0)) / lam
    if t < 1.0: count_a += 1
print(count_a / N_trial)