Searching for diboson resonances in the boosted all-hadronic final state at s = 13 TeV with CMS

T. Aarrestad
{"title":"Searching for diboson resonances in the boosted all-hadronic final state at s = 13 TeV with CMS","authors":"T. Aarrestad","doi":"10.1142/S0217732320300141","DOIUrl":null,"url":null,"abstract":"This article summarises three searches for diboson resonances in the all-hadronic final state using data collected at a center-of-mass energy of $\\sqrt{\\rm{s}}=13$ TeV with the CMS experiment at the CERN LHC. The boson decay products are contained in one large-radius jet, resulting in dijet final states which are resolved using jet substructure techniques. The analyses presented use 2.3, 35.9 and 77.3 inverse femtobarns of data collected between 2015 and 2017. These include the first search for diboson resonances using data collected at a 13 TeV collision energy, the introduction of a new algorithm to tag vector bosons in the context of analyzing the data collected in 2016, and the development of a novel multidimensional fit improving on the sensitivity of the previous search method with up to $30\\%$. The results presented here are the most sensitive to date of diboson resonance searches in the dijet final state. An emphasis on improvements in technique for vector boson tagging is made.","PeriodicalId":8429,"journal":{"name":"arXiv: High Energy Physics - Experiment","volume":"47 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv: High Energy Physics - Experiment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/S0217732320300141","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This article summarises three searches for diboson resonances in the all-hadronic final state using data collected at a center-of-mass energy of $\sqrt{\rm{s}}=13$ TeV with the CMS experiment at the CERN LHC. The boson decay products are contained in one large-radius jet, resulting in dijet final states which are resolved using jet substructure techniques. The analyses presented use 2.3, 35.9 and 77.3 inverse femtobarns of data collected between 2015 and 2017. These include the first search for diboson resonances using data collected at a 13 TeV collision energy, the introduction of a new algorithm to tag vector bosons in the context of analyzing the data collected in 2016, and the development of a novel multidimensional fit improving on the sensitivity of the previous search method with up to $30\%$. The results presented here are the most sensitive to date of diboson resonance searches in the dijet final state. An emphasis on improvements in technique for vector boson tagging is made.
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
用CMS寻找s = 13 TeV时增强全强子终态中的二色子共振
本文总结了在CERN大型强子对撞机的CMS实验中,利用质心能量为$\sqrt{\rm{s}}=13$ TeV的数据,对全强子终态中二色子共振的三次搜索。玻色子衰变产物包含在一个大半径的射流中,产生双射流终态,用射流子结构技术进行解析。这些分析使用了2015年至2017年间收集的2.3、35.9和77.3反飞巴数据。其中包括首次使用在13 TeV碰撞能量下收集的数据搜索二色子共振,在分析2016年收集的数据的背景下引入一种新的算法来标记矢量玻色子,以及开发一种新的多维拟合,将先前搜索方法的灵敏度提高了30%。本文给出的结果是迄今为止dijet末态diboson共振搜索中最敏感的结果。重点介绍了矢量玻色子标记技术的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 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