Identification of Additional Jets in the t(t)over-barb(b)over-bar Events by Using Deep Neural Network
- Authors
- Choi, Jieun; Kim, Tae Jeong; Lim, Jongwon; Park, Jiwon; Ryou, Yeonsu; Song, Juhee; Yun, Soohyun
- Issue Date
- Dec-2020
- Publisher
- KOREAN PHYSICAL SOC
- Keywords
- Top quark; Bottom quark; Deep neural network
- Citation
- JOURNAL OF THE KOREAN PHYSICAL SOCIETY, v.77, no.12, pp.1100 - 1106
- Indexed
- SCIE
SCOPUS
KCI
- Journal Title
- JOURNAL OF THE KOREAN PHYSICAL SOCIETY
- Volume
- 77
- Number
- 12
- Start Page
- 1100
- End Page
- 1106
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/144277
- DOI
- 10.3938/jkps.77.1100
- ISSN
- 0374-4884
- 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.
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