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On average dimensions of particle transport estimators

  • Ilya M. Sobol EMAIL logo and Boris V. Shukhman
Published/Copyright: May 19, 2018

Abstract

We considered average dimensions of the weighted Monte Carlo algorithm for a particle transport problem with multi-scattering setting and estimated the probability of particles penetration through a layer. The average dimension d^ of the algorithm turned out to be small so that quasi-Monte Carlo estimates of the probability converge much faster than the Monte Carlo estimates. We justified the reasons to expect that the convergence of quasi-Monte Carlo estimates continue to be faster as the thickness of the layer increases. Here we calculated d^ without the use of the ANOVA expansion.

MSC 2010: 11K45

Acknowledgements

The authors recognize the technical assistance of Alex Sobol in preparing this manuscript for publication. The authors are grateful to Michael Milgram for useful suggestions improving quality of the manuscript.

References

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Received: 2018-1-14
Accepted: 2018-5-2
Published Online: 2018-5-19
Published in Print: 2018-6-1

© 2018 Walter de Gruyter GmbH, Berlin/Boston

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