朱诺探测器高能e-{\mu}鉴别

G. Settanta, S. Mari, C. Martellini, P. Montini
{"title":"朱诺探测器高能e-{\\mu}鉴别","authors":"G. Settanta, S. Mari, C. Martellini, P. Montini","doi":"10.1051/epjconf/201920901011","DOIUrl":null,"url":null,"abstract":"Cosmic Ray and neutrino oscillation physics can be studied by using atmospheric neutrinos. JUNO (Jiangmen Underground Neutrino Observatory) is a large liquid scintillator detector with low energy detection threshold and excellent energy resolution. The detector performances allow the atmospheric neutrino oscillation measurements. In this work, a discrimination algorithm for different reaction channels of neutrino-nucleon interactions in the JUNO liquid scintillator, in the GeV/sub-GeV energy region, is presented. The atmospheric neutrino flux is taken as reference, considering $\\overset{(-)}{\\nu_\\mu}$ and $\\overset{(-)}{\\nu_e}$. The different temporal behaviour of the classes of events have been exploited to build a time profile-based discrimination algorithm. The results show a good selection power for $\\overset{(-)}{\\nu_e}$ CC events, while the $\\overset{(-)}{\\nu_\\mu}$ CC component suffers of an important contamination from NC events at low energy, which is under study. Preliminary results are presented.","PeriodicalId":8429,"journal":{"name":"arXiv: High Energy Physics - Experiment","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"e-{\\\\mu} Discrimination at High Energy in the JUNO Detector\",\"authors\":\"G. Settanta, S. Mari, C. Martellini, P. Montini\",\"doi\":\"10.1051/epjconf/201920901011\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cosmic Ray and neutrino oscillation physics can be studied by using atmospheric neutrinos. JUNO (Jiangmen Underground Neutrino Observatory) is a large liquid scintillator detector with low energy detection threshold and excellent energy resolution. The detector performances allow the atmospheric neutrino oscillation measurements. In this work, a discrimination algorithm for different reaction channels of neutrino-nucleon interactions in the JUNO liquid scintillator, in the GeV/sub-GeV energy region, is presented. The atmospheric neutrino flux is taken as reference, considering $\\\\overset{(-)}{\\\\nu_\\\\mu}$ and $\\\\overset{(-)}{\\\\nu_e}$. The different temporal behaviour of the classes of events have been exploited to build a time profile-based discrimination algorithm. The results show a good selection power for $\\\\overset{(-)}{\\\\nu_e}$ CC events, while the $\\\\overset{(-)}{\\\\nu_\\\\mu}$ CC component suffers of an important contamination from NC events at low energy, which is under study. Preliminary results are presented.\",\"PeriodicalId\":8429,\"journal\":{\"name\":\"arXiv: High Energy Physics - Experiment\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-01-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv: High Energy Physics - Experiment\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1051/epjconf/201920901011\",\"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: High Energy Physics - Experiment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1051/epjconf/201920901011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

利用大气中微子可以研究宇宙射线和中微子振荡物理。JUNO(江门地下中微子天文台)是一种大型液体闪烁探测器,具有低能量探测阈值和优异的能量分辨率。探测器的性能允许对大气中微子振荡进行测量。本文提出了一种针对JUNO液体闪烁体在GeV/亚GeV能量区域中中微子-核子相互作用不同反应通道的判别算法。以大气中微子通量为参考,考虑$\overset{(-)}{\nu_\mu}$和$\overset{(-)}{\nu_e}$。事件类的不同时间行为已被利用来建立一个基于时间轮廓的区分算法。结果表明,对$\overset{(-)}{\nu_e}$ CC事件具有良好的选择能力,而$\overset{(-)}{\nu_\mu}$ CC分量在低能量时受到NC事件的严重污染,目前正在研究中。给出了初步结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
e-{\mu} Discrimination at High Energy in the JUNO Detector
Cosmic Ray and neutrino oscillation physics can be studied by using atmospheric neutrinos. JUNO (Jiangmen Underground Neutrino Observatory) is a large liquid scintillator detector with low energy detection threshold and excellent energy resolution. The detector performances allow the atmospheric neutrino oscillation measurements. In this work, a discrimination algorithm for different reaction channels of neutrino-nucleon interactions in the JUNO liquid scintillator, in the GeV/sub-GeV energy region, is presented. The atmospheric neutrino flux is taken as reference, considering $\overset{(-)}{\nu_\mu}$ and $\overset{(-)}{\nu_e}$. The different temporal behaviour of the classes of events have been exploited to build a time profile-based discrimination algorithm. The results show a good selection power for $\overset{(-)}{\nu_e}$ CC events, while the $\overset{(-)}{\nu_\mu}$ CC component suffers of an important contamination from NC events at low energy, which is under study. Preliminary results are presented.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
First direct neutrino-mass measurement with sub-eV sensitivity Search for invisible axion dark matter of mass ma=43  μeV with the QUAX– aγ experiment First measurement using a nuclear emulsion detector of the ν μ charged-current cross section on iron around the 1 GeV energy region Latest D0 results on exotic hadrons produced in $p\bar p $ collision Sensitivity improvement in hidden photon detection using resonant cavities
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1