{"title":"关于统计取样背后的假设:235U 裂变当量不确定性传播案例研究","authors":"Enrica Belfiore, Federico Grimaldi, Luca Fiorito, Pablo Romojaro, Gašper Žerovnik, Pierre-Etienne Labeau, Sandra Dulla","doi":"10.1080/00295639.2024.2323217","DOIUrl":null,"url":null,"abstract":"Monte Carlo sampling is frequently employed for uncertainty quantification in depletion calculations. Several assumptions are needed to perform this analysis. In this work, an assessment of these a...","PeriodicalId":19436,"journal":{"name":"Nuclear Science and Engineering","volume":"3 1","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On the Assumptions Behind Statistical Sampling: A 235U Fission Yield Uncertainty Propagation Case Study\",\"authors\":\"Enrica Belfiore, Federico Grimaldi, Luca Fiorito, Pablo Romojaro, Gašper Žerovnik, Pierre-Etienne Labeau, Sandra Dulla\",\"doi\":\"10.1080/00295639.2024.2323217\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Monte Carlo sampling is frequently employed for uncertainty quantification in depletion calculations. Several assumptions are needed to perform this analysis. In this work, an assessment of these a...\",\"PeriodicalId\":19436,\"journal\":{\"name\":\"Nuclear Science and Engineering\",\"volume\":\"3 1\",\"pages\":\"\"},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2024-03-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nuclear Science and Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/00295639.2024.2323217\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"NUCLEAR SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nuclear Science and Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/00295639.2024.2323217","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NUCLEAR SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
Monte Carlo 取样经常被用于损耗计算中的不确定性量化。进行这种分析需要几个假设。在这项工作中,对这些假设进行了评估。
On the Assumptions Behind Statistical Sampling: A 235U Fission Yield Uncertainty Propagation Case Study
Monte Carlo sampling is frequently employed for uncertainty quantification in depletion calculations. Several assumptions are needed to perform this analysis. In this work, an assessment of these a...
期刊介绍:
Nuclear Science and Engineering, the research journal of the American Nuclear Society, publishes articles on research and development related to peaceful utilization of nuclear energy, radiation, and alternative energy sources.