{"title":"设计用于铵-锑转换实验的铯碘(钛)量热计","authors":"Siyuan Chen, Shihan Zhao, Weizhi Xiong, Ye Tian, Hui Jiang, Jiacheng Ling, Shishe Wang, Jian Tang","doi":"arxiv-2408.17114","DOIUrl":null,"url":null,"abstract":"The Muonium-to-Antimuonium Conversion Experiment (MACE) is proposed to search\nfor charged lepton flavor violation and increase the sensitivity by three\norders of magnitude compared to the PSI experiment in the 1990s. A clear\nsignature of this conversion is the positron produced from antimuonium decay.\nThis paper presents a near-$4\\pi$-coverage calorimeter designed for MACE, which\nprovides an energy resolution of 9% at 511 keV and 7.5% at 1.022 MeV. The\nsignal efficiency for double $\\gamma$ events is 67.5%. Detailed Monte-Carlo\nsimulations using MACE offline software based on Geant4 are performed for\ngeometry optimization, coincidence system design, background estimation, and\nbenchmark detector validation.","PeriodicalId":501374,"journal":{"name":"arXiv - PHYS - Instrumentation and Detectors","volume":"2 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design of a CsI(Tl) Calorimeter for Muonium-to-Antimuonium Conversion Experiment\",\"authors\":\"Siyuan Chen, Shihan Zhao, Weizhi Xiong, Ye Tian, Hui Jiang, Jiacheng Ling, Shishe Wang, Jian Tang\",\"doi\":\"arxiv-2408.17114\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Muonium-to-Antimuonium Conversion Experiment (MACE) is proposed to search\\nfor charged lepton flavor violation and increase the sensitivity by three\\norders of magnitude compared to the PSI experiment in the 1990s. A clear\\nsignature of this conversion is the positron produced from antimuonium decay.\\nThis paper presents a near-$4\\\\pi$-coverage calorimeter designed for MACE, which\\nprovides an energy resolution of 9% at 511 keV and 7.5% at 1.022 MeV. The\\nsignal efficiency for double $\\\\gamma$ events is 67.5%. Detailed Monte-Carlo\\nsimulations using MACE offline software based on Geant4 are performed for\\ngeometry optimization, coincidence system design, background estimation, and\\nbenchmark detector validation.\",\"PeriodicalId\":501374,\"journal\":{\"name\":\"arXiv - PHYS - Instrumentation and Detectors\",\"volume\":\"2 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Instrumentation and Detectors\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2408.17114\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Instrumentation and Detectors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.17114","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of a CsI(Tl) Calorimeter for Muonium-to-Antimuonium Conversion Experiment
The Muonium-to-Antimuonium Conversion Experiment (MACE) is proposed to search
for charged lepton flavor violation and increase the sensitivity by three
orders of magnitude compared to the PSI experiment in the 1990s. A clear
signature of this conversion is the positron produced from antimuonium decay.
This paper presents a near-$4\pi$-coverage calorimeter designed for MACE, which
provides an energy resolution of 9% at 511 keV and 7.5% at 1.022 MeV. The
signal efficiency for double $\gamma$ events is 67.5%. Detailed Monte-Carlo
simulations using MACE offline software based on Geant4 are performed for
geometry optimization, coincidence system design, background estimation, and
benchmark detector validation.