The Monte Carlo Algorithm with a Pseudorandom Generator

The Monte Carlo Algorithm with a Pseudorandom Generator

We analyze the Monte Carlo algorithm for the approximation of multivariate integrals when a pseudorandom generator is used. We establish lower and upper bounds on the error of such algorithms. We prove that as long as a pseudorandom generator is capable of producing only finitely many points, the Monte Carlo algorithm with such a pseudorandom generator fails for ¿2 or continuous functions. It a...

EKHARA Monte Carlo generator

The Monte Carlo Event Generator DPMJET-III

A new version of the Monte Carlo event generator Dpmjet is presented. It is a code system based on the Dual Parton Model and unifies all features of the Dtunuc-2, Dpmjet-II and Phojet1.12 event generators. Dpmjet-III allows the simulation of hadron-hadron, hadron-nucleus, nucleus-nucleus, photon-hadron, photonphoton and photon-nucleus interactions from a few GeV up to the highest cosmic ray ene...

The CCFM Monte Carlo generator Cascade

Cascade is a full hadron level Monte Carlo event generator for ep, γp and pp̄ processes, which uses the CCFM evolution equation for the initial state cascade in a backward evolution approach supplemented with off shell matrix elements for the hard scattering. A detailed program description is given, with emphasis on parameters the user wants to change and common block variables which completely ...

A Noisy Monte Carlo Algorithm

We propose a Monte Carlo algorithm to promote Kennedy and Kuti’s linear accept/reject algorithm which accommodates unbiased stochastic estimates of the probability to an exact one. This is achieved by adopting the Metropolis accept/reject steps for both the dynamical and noise configurations. We test it on the five state model and obtain desirable results even for the case with large noise. We ...