Introduction to importance sampling in rare-event simulations

Monte Carlo simulations are an important tool in modern-day studies of many physical systems. Where unlikely events are to be simulated, the importance sampling technique can considerably ease the processing burdon, without compromising statistical significance. Here a comparison of importance sampling and standard Monte Carlo simulations is given. Emphasis is on variance reduction, and on the simulation gain of importance sampling, which is calculated explicitly for a simple example.