Search for heavy charged long-lived particles in the ATLAS detector in 36.1 fb-1 of proton-proton collision data at s =13 TeV

(ATLAS Collaboration)

Research output: Contribution to journalArticlepeer-review

110 Scopus citations

Abstract

A search for heavy charged long-lived particles is performed using a data sample of 36.1 fb-1 of proton-proton collisions at s=13 TeV collected by the ATLAS experiment at the Large Hadron Collider. The search is based on observables related to ionization energy loss and time of flight, which are sensitive to the velocity of heavy charged particles traveling significantly slower than the speed of light. Multiple search strategies for a wide range of lifetimes, corresponding to path lengths of a few meters, are defined as model independently as possible, by referencing several representative physics cases that yield long-lived particles within supersymmetric models, such as gluinos/squarks (R-hadrons), charginos and staus. No significant deviations from the expected Standard Model background are observed. Upper limits at 95% confidence level are provided on the production cross sections of long-lived R-hadrons as well as directly pair-produced staus and charginos. These results translate into lower limits on the masses of long-lived gluino, sbottom and stop R-hadrons, as well as staus and charginos of 2000, 1250, 1340, 430, and 1090 GeV, respectively.

Original languageEnglish
Article number092007
JournalPhysical Review D
Volume99
Issue number9
DOIs
StatePublished - 28 May 2019

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
Narodowe Centrum Nauki
National Science Foundation
CEA-DRF
Japan Society for the Promotion of Science
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Ministry of Science and Technology, Taiwan
Israel Science Foundation
Wallenberg Foundation
Leverhulme Trust
Horizon 2020, and Marie Skłodowska-Curie Actions
Arizona-Nevada Academy of Science
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
MSMT
MSSR
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
Singapore Eye Research Institute
Deutsche Forschungsgemeinschaft
Neurosurgical Research Foundation
MIZŚ
MESTD
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
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 Nauki i Szkolnictwa Wyższego
IRFU
CERN
Joint Institute for Nuclear Research
National Research Council Canada
Alexander von Humboldt-Stiftung
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
DNSRCIN2P3-CNRS
Science and Technology Facilities CouncilST/L006162/1, ST/N000307/1, GRIDPP

    Fingerprint

    Dive into the research topics of 'Search for heavy charged long-lived particles in the ATLAS detector in 36.1 fb-1 of proton-proton collision data at s =13 TeV'. Together they form a unique fingerprint.

    Cite this