Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김태정 | - |
dc.date.accessioned | 2022-08-30T01:10:52Z | - |
dc.date.available | 2022-08-30T01:10:52Z | - |
dc.date.issued | 2020-11 | - |
dc.identifier.citation | JOURNAL OF THE KOREAN PHYSICAL SOCIETY, v. 77, no. 12, page. 1100-1106 | en_US |
dc.identifier.issn | 1976-8524 | - |
dc.identifier.issn | 0374-4884 | - |
dc.identifier.uri | https://link.springer.com/article/10.3938/jkps.77.1100 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/172623 | - |
dc.description.abstract | In the top quark pair production in association with the Higgs boson decaying to a b quark pair (tt¯H(bb¯) ), the final state has an irreducible nonresonant background from the production of a top quark pair in association with a b quark pair (tt¯bb¯). Therefore, understanding of the tt¯bb¯ process precisely in particular differential cross-section as functions of the properties of the additional b jets not from the top quark decay is essential for improving the sensitivity of a search for the tt¯H(bb¯) process. The two additional b jets can be identified by using various approaches. In this paper, the performances are compared quantitatively in the lepton+jets decay channel in terms of the matching efficiency of assigning two additional b jets as a figure of merit. We showed that a matching efficiency of around 40% could be achieved using a deep neural network method. In the events with at least 4 b jets, this performance is 8% better than that achieved using minimum △R(b,b¯) method. This is consistent with the boosted decision tree method within its statistical uncertainty. | en_US |
dc.description.sponsorship | This work was supported by the research fund of Hanyang University (HY-2015). The work was also supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, (Grant No. NRF-2020R1A2C2005228). | en_US |
dc.language.iso | en | en_US |
dc.publisher | KOREAN PHYSICAL SOC | en_US |
dc.subject | Top quark | en_US |
dc.subject | Bottom quark | en_US |
dc.subject | Deep neural network | en_US |
dc.title | Identification of Additional Jets in the ttbar-bbbar Events by Using Deep Neural Network | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.3938/jkps.77.1100 | - |
dc.relation.page | 1100-1106 | - |
dc.relation.journal | JOURNAL OF THE KOREAN PHYSICAL SOCIETY | - |
dc.contributor.googleauthor | Choi, Jieun | - |
dc.contributor.googleauthor | Kim, Tae Jeong | - |
dc.contributor.googleauthor | Lim, Jongwon | - |
dc.contributor.googleauthor | Park, Jiwon | - |
dc.contributor.googleauthor | Ryou, Yeonsu | - |
dc.contributor.googleauthor | Song, Juhee | - |
dc.contributor.googleauthor | Yun, Soohyun | - |
dc.relation.code | 2020048704 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF NATURAL SCIENCES[S] | - |
dc.sector.department | DEPARTMENT OF PHYSICS | - |
dc.identifier.pid | taekim | - |
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