Search for non-resonant Higgs boson pair production in the bbℓνℓν final state with the ATLAS detector in pp collisions at s=13 TeV

The ATLAS collaboration

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

Abstract

A search for non-resonant Higgs boson pair production, as predicted by the Standard Model, is presented, where one of the Higgs bosons decays via the H→bb channel and the other via one of the H→WW/ZZ/ττ channels. The analysis selection requires events to have at least two b-tagged jets and exactly two leptons (electrons or muons) with opposite electric charge in the final state. Candidate events consistent with Higgs boson pair production are selected using a multi-class neural network discriminant. The analysis uses 139 fb−1 of pp collision data recorded at a centre-of-mass energy of 13 TeV by the ATLAS detector at the Large Hadron Collider. An observed (expected) upper limit of 1.2 (0.9−0.3 +0.4) pb is set on the non-resonant Higgs boson pair production cross-section at 95% confidence level, which is equivalent to 40 (29−9 +14) times the value predicted in the Standard Model.

Original languageEnglish
Article number135145
JournalPhysics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics
Volume801
DOIs
StatePublished - 10 Feb 2020

Funding

FundersFunder number
Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)
BSF-NSF
Agence Nationale de la Recherche
Australian Research Council
Centre National pour la Recherche Scientifique et Technique
Fundação para a Ciência e a Tecnologia
Comisión Nacional de Investigación Científica y Tecnológica
National Stroke Foundation
Narodowe Centrum Nauki
CEA-DRF
H2020 Marie Skłodowska-Curie Actions
Japan Society for the Promotion of Science
INFN-CNAF
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Ministry of Science and Technology, Taiwan
Israel Science Foundation
Wallenberg Foundation
Leverhulme Trust
Staatssekretariat für Bildung, Forschung und Innovation
Javna Agencija za Raziskovalno Dejavnost RS
Generalitat de Catalunya
Instituto Nazionale di Fisica Nucleare
Bundesministerium für Wissenschaft, Forschung und Wirtschaft
Austrian Science Fund
Department of Science and Technology, Ministry of Science and Technology, India
Alabama Space Grant Consortium
Ministerio de Economía y Competitividad
Bundesministerium für Bildung und Forschung
Canada Foundation for Innovation
Helmholtz-Gemeinschaft
Danmarks Grundforskningsfond
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Czech Republic
Karlsruhe Institute of Technology
GridKA
MIZŠ
Deutsche Forschungsgemeinschaft
Neurosurgical Research Foundation
Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja
U.S. Department of Energy
European Cooperation in Science and Technology
EU-ESF
RGC
Fundação de Amparo à Pesquisa do Estado de São Paulo
MES of Russia
National Research Center "Kurchatov Institute"
Institutul de Fizică Atomică
Natural Sciences and Engineering Research Council of Canada
General Secretariat for Research and Technology
Nella and Leon Benoziyo Center for Neurological Diseases, Weizmann Institute of Science
Generalitat de Catalunya , Spain
Cantons of Bern and Geneva
Chinese Academy of Sciences
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
VSC CR
Glycemic Index Foundation
MNE
Agencia Nacional de Promoción Científica y Tecnológica
Royal Society
European Research Council
European Regional Development Fund
Ministerstwo Edukacji i Nauki
IRFU
CERN
Joint Institute for Nuclear Research
Ministerstvo Školství, Mládeže a Tělovýchovy
Horizon 2020 , and Marie Skłodowska-Curie Actions
National Research Council Canada
Brookhaven National Laboratory
Alexander von Humboldt-Stiftung
Multiple Sclerosis Scientific Research Foundation
Council on grants of the President of the Russian Federation
British Columbia Knowledge Development Fund
Ministry of Education, Culture, Sports, Science and Technology
National Natural Science Foundation of China
Azərbaycan Milli Elmlər Akademiyası
Not addedST/L006162/1, ST/N000307/1, ST/N000331/1, GRIDPP, 1852475
Horizon 2020 Framework Programme754510
DNSRCIN2P3-CNRS
NDGFCC-IN2P3

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