{"title":"超级神冈火山模拟与重建研究进展","authors":"N. Prouse","doi":"10.22323/1.390.0919","DOIUrl":null,"url":null,"abstract":"The next generation of neutrino experiments will require improvements to detector simulation and event reconstruction software matching the reduced statistical errors and increased and precision of new detectors. Here we present progress for the software of the Hyper-Kamiokande experiment being developed to enable reduction of systematic errors to below the 1% level. The current status and future prospects of this software is be presented, including advances in detector simulation and reconstruction using traditional techniques as well as new developments using modern machinelearning based approaches.","PeriodicalId":20428,"journal":{"name":"Proceedings of 40th International Conference on High Energy physics — PoS(ICHEP2020)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Advances in simulation and reconstruction for Hyper-Kamiokande\",\"authors\":\"N. Prouse\",\"doi\":\"10.22323/1.390.0919\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The next generation of neutrino experiments will require improvements to detector simulation and event reconstruction software matching the reduced statistical errors and increased and precision of new detectors. Here we present progress for the software of the Hyper-Kamiokande experiment being developed to enable reduction of systematic errors to below the 1% level. The current status and future prospects of this software is be presented, including advances in detector simulation and reconstruction using traditional techniques as well as new developments using modern machinelearning based approaches.\",\"PeriodicalId\":20428,\"journal\":{\"name\":\"Proceedings of 40th International Conference on High Energy physics — PoS(ICHEP2020)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-02-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 40th International Conference on High Energy physics — PoS(ICHEP2020)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22323/1.390.0919\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 40th International Conference on High Energy physics — PoS(ICHEP2020)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22323/1.390.0919","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Advances in simulation and reconstruction for Hyper-Kamiokande
The next generation of neutrino experiments will require improvements to detector simulation and event reconstruction software matching the reduced statistical errors and increased and precision of new detectors. Here we present progress for the software of the Hyper-Kamiokande experiment being developed to enable reduction of systematic errors to below the 1% level. The current status and future prospects of this software is be presented, including advances in detector simulation and reconstruction using traditional techniques as well as new developments using modern machinelearning based approaches.