2021
			
	    
	
	
    Tau-lepton fake-rate determination for the ttH coupling measurement using the ATLAS detector at the LHC
MONDAL, SantuBasic information
Original name
Tau-lepton fake-rate determination for the ttH coupling measurement using the ATLAS detector at the LHC
	Authors
MONDAL, Santu (356 India, guarantor, belonging to the institution)
			Edition
 Praha, Proceedings of Science, p. 1-3, 3 pp. 2021
			Publisher
Published by Sissa Medialab srl Partita IVA
		Other information
Language
English
		Type of outcome
Proceedings paper
		Field of Study
10303 Particles and field physics
		Confidentiality degree
is not subject to a state or trade secret
		Publication form
printed version "print"
		References:
RIV identification code
RIV/47813059:19630/21:A0000172
		Organization unit
Institute of physics in Opava
			ISSN
EID Scopus
2-s2.0-85105540683
		Keywords in English
Bosons; Large dataset; Tellurium compounds
		Tags
International impact, Reviewed
		
				
				Changed: 16/3/2022 12:12, Mgr. Pavlína Jalůvková
				
		Abstract
In the original language
A search for the associated production of a top-quark pair with the Higgs boson (ttH ¯) in multilepton final states is presented. The search is based on a dataset of proton-proton collisions at vs = 13 TeV and an integrated luminosity of 80 fb-1 recorded with the ATLAS detector at the CERN Large Hadron Collider. A synopsis of the final state with two same-charge light leptons (e or µ) and one hadronically-decaying t is described in more detail. Non-prompt light leptons background is estimated from simulation, with data-driven corrections and fake thad backgrounds are estimated using data-driven techniques. An excess of events consistent with ttH ¯ production, over the expected background from Standard Model processes, is found with an observed significance of 1.8 standard deviations, compared to an expectation of 3.1 standard deviations. Assuming Standard Model branching fractions, the best-fit value of the ttH ¯ production cross section is sttH ¯ = 294+-182162 fb, which is consistent with the Standard Model prediction.