{"title":"用CMS寻找s = 13 TeV时增强全强子终态中的二色子共振","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":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"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\":null,\"pages\":null},\"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}","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}
Searching for diboson resonances in the boosted all-hadronic final state at s = 13 TeV with CMS
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.