Observation of the Λb0→Λc+K+Kπ decay

  • LHCb Collaboration

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

The Λb0→Λc+K+Kπ decay is observed for the first time using a data sample of proton-proton collisions at centre-of-mass energies of s=7 and 8TeV collected by the LHCb detector, corresponding to an integrated luminosity of 3fb−1. The ratio of branching fractions between the Λb0→Λc+K+Kπ and the Λb0→Λc+Ds decays is measured to be [Formula presented] where the first uncertainty is statistical, the second systematic and the third is due to the knowledge of the Ds→K+Kπ branching fraction. No structure on the invariant mass distribution of the Λc+K+ system is found, consistent with no open-charm pentaquark signature.

Original languageEnglish
Article number136172
Pages (from-to)1-10
Number of pages10
JournalPhysics Letters. Section B, Nuclear, Elementary Particle and High-Energy Physics
Volume815
Early online date23 Feb 2021
DOIs
Publication statusPublished - 10 Apr 2021

Bibliographical note

Publisher Copyright:
© 2021 The Author(s)

Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.

Funding

We express our gratitude to our colleagues in the CERN accelerator departments for the excellent performance of the LHC. We thank the technical and administrative staff at the LHCb institutes. We acknowledge support from CERN and from the national agencies: CAPES , CNPq , FAPERJ and FINEP (Brazil); MOST and NSFC (China); CNRS/IN2P3 (France); BMBF , DFG and MPG (Germany); INFN (Italy); NWO (Netherlands); MNiSW and NCN (Poland); MEN/IFA (Romania); MSHE (Russia); MICINN (Spain); SNSF and SER (Switzerland); NASU (Ukraine); STFC (United Kingdom); DOE NP and NSF (USA). We acknowledge the computing resources that are provided by CERN, IN2P3 (France), KIT and DESY (Germany), INFN (Italy), SURF (Netherlands), PIC (Spain), GridPP (United Kingdom), RRCKI and Yandex LLC (Russia), CSCS (Switzerland), IFIN-HH (Romania), CBPF (Brazil), PL-GRID (Poland) and OSC (USA). We are indebted to the communities behind the multiple open-source software packages on which we depend. Individual groups or members have received support from AvH Foundation (Germany); EPLANET , Marie Skłodowska-Curie Actions and ERC (European Union); A*MIDEX , ANR , Labex P2IO and OCEVU , and Région Auvergne-Rhône-Alpes (France); Key Research Program of Frontier Sciences of CAS , CAS PIFI , Thousand Talents Program , and Sci. & Tech. Program of Guangzhou (China); RFBR , RSF and Yandex LLC (Russia); GVA , XuntaGal and GENCAT (Spain); The Royal Society and the Leverhulme Trust (United Kingdom).

FundersFunder number
Agence Nationale de la Recherche
IFIN-HH
National Academy of Sciences of Ukraine
Narodowe Centrum Nauki
OCEVU
National Science Foundation
Institut national de physique nucléaire et de physique des particules
H2020 Marie Skłodowska-Curie Actions
Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Ministerio de Ciencia e Innovación
Ministry of Science and Technology, Taiwan
Program of Guangzhou
Leverhulme Trust
PL-GRID
MSHE
SURF
Instituto Nazionale di Fisica Nucleare
Financiadora de Estudos e Projetos
Centre National de la Recherche Scientifique
Bundesministerium für Bildung und Forschung
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Karlsruhe Institute of Technology
Deutsche Forschungsgemeinschaft
Région Auvergne-Rhône-Alpes
Russian Foundation for Basic Research
U.S. Department of Energy
Yandex LLC
GridPP
RRCKI
Russian Science Foundation
Deutsches Elektronen-Synchrotron
Chinese Academy of Sciences
Recruitment Program of Global Experts
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
XuntaGal
Key Research Program of Frontier Sciences of CAS
Royal Society
Sociedad Española de Reumatología
European Research Council
EPLANET
Ministerstwo Nauki i Szkolnictwa Wyższego
Generalitat Valenciana
CERN
Alexander von Humboldt-Stiftung
National Natural Science Foundation of China
Science and Technology Facilities CouncilST/V003070/1

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

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