Application of the Random Ray Method to Variance Reduction in Radiation Shielding Problems
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| Názov: | Application of the Random Ray Method to Variance Reduction in Radiation Shielding Problems |
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| Autori: | Valeria Raffuzzi, Rufus Neame, Paul Cosgrove |
| Prispievatelia: | DSpace at Cambridge pro (8.1) |
| Zdroj: | Nuclear Science and Engineering. :1-18 |
| Informácie o vydavateľovi: | Informa UK Limited, 2025. |
| Rok vydania: | 2025 |
| Predmety: | random ray method, Variance reduction, Forward-Weighted Consistent Adjoint-Driven Importance Sampling, Consistent Adjoint-Driven Importance Sampling |
| Popis: | Deep penetration radiation shielding problems often use Monte Carlo augmented with weight windows to obtain sufficiently low variances in acceptable run times. In this paper, the random ray method was proposed as an approach to generating weight windows. Compared to deterministic alternatives, it allows for straightforward spatial discretisation and continuously samples angular phase space. The methods implemented were tested on two shielding problems, examining global variance reduction and source-detector variance reduction. In both cases, the figure of merit of the random ray based methods is at least 50 times higher than analog Monte Carlo, and in the Global Variance Reduction model it is comparable to that of MAGIC, a popular fully Monte Carlo approach to weight window generation. The methods implemented are also robust to modelling choices like the source of multi group cross sections (NJOY or Monte Carlo), scattering anisotropy and the order of the random ray spatial source representation. |
| Druh dokumentu: | Article |
| Popis súboru: | application/pdf |
| Jazyk: | English |
| ISSN: | 1943-748X 0029-5639 |
| DOI: | 10.1080/00295639.2025.2458958 |
| DOI: | 10.17863/cam.115597 |
| Prístupová URL adresa: | https://www.repository.cam.ac.uk/handle/1810/379533 https://doi.org/10.1080/00295639.2025.2458958 https://doi.org/10.17863/cam.115597 |
| Rights: | CC BY |
| Prístupové číslo: | edsair.doi.dedup.....858dfb7f8f3a6a23357c34833594c334 |
| Databáza: | OpenAIRE |
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Nájsť tento článok vo Web of Science | Abstrakt: | Deep penetration radiation shielding problems often use Monte Carlo augmented with weight windows to obtain sufficiently low variances in acceptable run times. In this paper, the random ray method was proposed as an approach to generating weight windows. Compared to deterministic alternatives, it allows for straightforward spatial discretisation and continuously samples angular phase space. The methods implemented were tested on two shielding problems, examining global variance reduction and source-detector variance reduction. In both cases, the figure of merit of the random ray based methods is at least 50 times higher than analog Monte Carlo, and in the Global Variance Reduction model it is comparable to that of MAGIC, a popular fully Monte Carlo approach to weight window generation. The methods implemented are also robust to modelling choices like the source of multi group cross sections (NJOY or Monte Carlo), scattering anisotropy and the order of the random ray spatial source representation. |
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| ISSN: | 1943748X 00295639 |
| DOI: | 10.1080/00295639.2025.2458958 |