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Open AccessJournal ArticleDOI

Search for vector-like T and B quark pairs in final states with leptons at √s= 13 TeV

Albert M. Sirunyan, +2349 more
- 28 Aug 2018 - 
- Vol. 2018, Iss: 8, pp 177
TLDR
In this article, a search for pair production of heavy vector-like T and B quarks in proton-proton collisions at √s = 13 TeV was presented.
Abstract
A search is presented for pair production of heavy vector-like T and B quarks in proton-proton collisions at √s = 13 TeV. The data sample corresponds to an integrated luminosity of 35.9 fb^(−1), collected with the CMS detector at the CERN LHC in 2016. Pair production of T quarks would result in a wide range of final states, since vector-like T quarks of charge 2e/3 are predicted to decay to bW, tZ, and tH. Likewise, vector-like B quarks are predicted to decay to tW, bZ, and bH. Three channels are considered, corresponding to final states with a single lepton, two leptons with the same sign of the electric charge, or at least three leptons. The results exclude T quarks with masses below 1140–1300 GeV and B quarks with masses below 910–1240 GeV for various branching fraction combinations, extending the reach of previous CMS searches by 200–600 GeV.

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Posted Content

Higgs Physics at the HL-LHC and HE-LHC

Maria Cepeda, +376 more
TL;DR: The potential reach and opportunities in Higgs physics during the High Luminosity phase of the LHC were summarized in this article, with an expected dataset of pp collisions at 14 TeV, corresponding to an integrated luminosity of 3 ab$^{-1}$.
Journal ArticleDOI

Combination of the searches for pair-produced vectorlike partners of the third-generation quarks at s =13 TeV with the ATLAS detector

Morad Aaboud, +2938 more
TL;DR: Combined 95% confidence-level upper limits are set on the production cross section for a range of vectorlike quark scenarios, significantly improving upon the reach of the individual searches.
Proceedings ArticleDOI

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Journal ArticleDOI

Identification of Heavy, Energetic, Hadronically Decaying Particles Using Machine-Learning Techniques

Albert M. Sirunyan, +2305 more
TL;DR: In this article, machine learning techniques are explored to identify and classify hadronic decays of highly Lorentz-boosted W/Z/Higgs bosons and top quarks.
References
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