Search for t[bar over t]H Production in the All-Jet Final State in Proton-Proton Collisions at √s = 13 TeV
Name
Sirunyan2018_Article_SearchForTtHMathrmTOverlineMat.pdf
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1.53 MB
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Author(s)
Abercrombie, Daniel Robert
Allen, Brandon Leigh
Azzolini, Virginia
Barbieri, Richard Alexander
Baty, Austin Alan
Bauer, Gerry P
Bi, Ran
Brandt, Stephanie Akemi
Busza, Wit
Cali, Ivan Amos
Date Issued
June 2018
Journal
Journal of High Energy Physics
Publisher
Springer Berlin Heidelberg
Citation
The CMS collaboration, et al. “Search for t[bar over t]H Production in the All-Jet Final State in Proton-Proton Collisions at √s = 13 TeV.” Journal of High Energy Physics, vol. 2018, no. 6, June 2018. © 2018 The Authors
Version
Final published version
Abstract
A search is presented for the associated production of a Higgs boson with a
top quark pair in the all-jet final state. Events containing seven or more jets are selected from a sample of proton-proton collisions at √s = 13 TeV collected with the CMS detector at the LHC in 2016, corresponding to an integrated luminosity of 35.9 fb[superscript −1]. To separate the t[bar over t]H signal from the irreducible t[bar over t] + b[bar over b] background, the analysis assigns leading order matrix element signal and background probability densities to each event. A likelihood-ratio statistic based on these probability densities is used to extract the signal. The results are provided in terms of an observed ttH signal strength relative to the standard model
production cross section µ = σ/σ[subscript SM], assuming a Higgs boson mass of 125 GeV. The best fit value is [ˆ over µ] = 0.9 ± 0.7(stat) ± 1.3(syst) = 0.9 ± 1.5 (tot), and the observed and expected upper limits are, respectively, µ < 3.8 and < 3.1 at 95% confidence levels. Keywords: Hadron-Hadron scattering (experiments), Higgs physics, Top physics
MIT Department
Massachusetts Institute of Technology. Department of Physics
Massachusetts Institute of Technology. Laboratory for Nuclear Science
Terms of Use
Creative Commons Attribution 4.0 International License
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DOI of Published Version
https://doi.org/10.1007/JHEP06(2018)101
