Efficient Use of Monte Carlo: Uncertainty Propagation
| Autor: | D. Rochman, S. C. van der Marck, Petter Helgesson, Henrik Sjöstrand, Arjan J. Koning, B. Krzykacz-Hausmann, W. Zwermann |
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| Rok vydání: | 2014 |
| Předmět: |
Physics
Propagation of uncertainty 010308 nuclear & particles physics Nuclear Theory Monte Carlo method 0211 other engineering and technologies Nuclear data 02 engineering and technology 01 natural sciences Hybrid Monte Carlo Nuclear Energy and Engineering 0103 physical sciences Dynamic Monte Carlo method Monte Carlo method in statistical physics 021108 energy Statistical physics Nuclear Experiment Astrophysics::Galaxy Astrophysics Monte Carlo molecular modeling |
| Zdroj: | Nuclear Science and Engineering. 177:337-349 |
| ISSN: | 1943-748X 0029-5639 |
| DOI: | 10.13182/nse13-32 |
| Popis: | A new and faster Total Monte Carlo (TMC) method for the propagation of nuclear data uncertainties in Monte Carlo nuclear simulations is presented (the fast TMC method). It addresses the main drawba... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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