Reconstruction and identification of boosted di-𝜏 systems in a search for Higgs boson pairs using 13 TeV proton-proton collision data in ATLAS
ContributorsATLAS Collaboration
CollaboratorsAdorni Braccesi Chiassi, Sofia
; Akilli, Ece; Amrouche, Cherifa Sabrina; Antel, Claire; Benoit, Mathieu; Clark, Allan Geoffrey; Della Volpe, Domenico; Dubreuil, Arnaud; Ferrere, Didier; Gadatsch, Stefan; Golling, Tobias; Gonzalez Sevilla, Sergio; Iacobucci, Giuseppe; Iizawa, Tomoya; Jansky, Roland; Khoo, Teng Jian; Kiehn, Moritz; Lanfermann, Marie Christine; Lionti, Anthony Eric; Mermod, Philippe; Nessi, Marzio; Nindhito, Herjuno Rah; Pandini, Carlo; Paolozzi, Lorenzo; Poggi, Riccardo; Raine, Johnny; Salamani, Dalila; Schramm, Steven; Sfyrla, Anna; Sultan, D M S; Valente, Marco; Wu, Xin; Zaffaroni, Ettore
Published inThe journal of high energy physics, vol. 2020, no. 11, 163
Publication date2020
First online date2020-11-30
Abstract
Keywords
- Beyond Standard Model
- Hadron-Hadron scattering (experiments)
- Higgs physics
- Tau Physics
- P p: scattering
- P p: colliding beams
- Resonance: production
- Higgs particle: pair production
- Higgs particle: leptonic decay
- Higgs particle: hadronic decay
- Bottom: pair production
- Bottom: particle identification
- Tau: pair production
- Tau: hadronic decay
- Tau: particle identification
- Resonance: scalar
- Gluon gluon: fusion
- ATLAS
- CERN LHC Coll
- Particle identification: efficiency
- Background
- Benchmark
- Lorentz
- Channel cross section: upper limit
- Data analysis method
- Experimental results
- 13000 GeV-cms
- S055H2O
Affiliation entities
Citation (ISO format)
ATLAS Collaboration. Reconstruction and identification of boosted di-𝜏 systems in a search for Higgs boson pairs using 13 TeV proton-proton collision data in ATLAS. In: The journal of high energy physics, 2020, vol. 2020, n° 11, p. 163. doi: 10.1007/jhep11(2020)163
Main files (1)
Article (Published version)
Identifiers
- PID : unige:178234
- DOI : 10.1007/jhep11(2020)163
- arXiv : 2007.14811
Additional URL for this publicationhttp://link.springer.com/10.1007/JHEP11(2020)163
Journal ISSN1029-8479
