Generation of Random Deviates for Relativistic Quantum-Statistical Distributions Cover Image

Generation of Random Deviates for Relativistic Quantum-Statistical Distributions
Generation of Random Deviates for Relativistic Quantum-Statistical Distributions

Author(s): Boris Tomasik, Ivan Melo, Jakub Cimerman
Subject(s): Methodology and research technology
Published by: Žilinská univerzita v Žilině
Keywords: Bose-Einstein distribution; Fermi-Dirac distribution; random number generator;

Summary/Abstract: We provide an algorithm for generation of momenta (or energies) of relativistic particles according to the relativistic Bose-Einstein or Fermi-Dirac distributions. The algorithm uses rejection method with effectively selected comparison function so that the acceptance rate of the generated values is always better than 0.9. It might find its use in Monte-Carlo generators of particles from reactions in high-energy physics.

  • Issue Year: 19/2017
  • Issue No: 3
  • Page Range: 66-70
  • Page Count: 5
  • Language: English