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Random Numbers

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Part of the Springer Tracts in Modern Physics book series (STMP, volume 271)

Abstract

As Monte Carlo is a statistical method, the accuracy of its results depends on the number of simulated electron trajectories and on the pseudo-random number generator used to perform the simulations. We will briefly summarize how pseudo-random numbers can be generated. We will describe, as well, how to calculate selected random number distributions that are particularly relevant for the Monte Carlo method purposes [1].

References

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    W.H. Press, S.A. Teukolsky, W.T. Vetterling, B.P. Flannery, Numerical Recipes in C. The Art of Scientific Computing (Cambridge University Press, Cambridge, 1985, 1992, 2007)Google Scholar
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    S.E. Koonin, D.C. Meredith, Computational Physics (Addison-Wesley, Redwood City, 1990)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.European Centre for Theoretical Studies in Nuclear Physics and Related AreasTrentoItaly

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