Measurement of the very rare K+→π+νν¯ decay View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2021-06-15

AUTHORS

E. Cortina Gil, A. Kleimenova, E. Minucci, S. Padolski, P. Petrov, A. Shaikhiev, R. Volpe, T. Numao, Y. Petrov, B. Velghe, D. Bryman, J. Fu, T. Husek, J. Jerhot, K. Kampf, M. Zamkovsky, R. Aliberti, G. Khoriauli, J. Kunze, D. Lomidze, L. Peruzzo, M. Vormstein, R. Wanke, P. Dalpiaz, M. Fiorini, I. Neri, A. Norton, F. Petrucci, H. Wahl, A. Cotta Ramusino, A. Gianoli, E. Iacopini, G. Latino, M. Lenti, A. Parenti, A. Bizzeti, F. Bucci, A. Antonelli, G. Georgiev, V. Kozhuharov, G. Lanfranchi, S. Martellotti, M. Moulson, T. Spadaro, F. Ambrosino, T. Capussela, M. Corvino, D. Di Filippo, P. Massarotti, M. Mirra, M. Napolitano, G. Saracino, G. Anzivino, F. Brizioli, E. Imbergamo, R. Lollini, R. Piandani, C. Santoni, M. Barbanera, P. Cenci, B. Checcucci, P. Lubrano, M. Lupi, M. Pepe, M. Piccini, F. Costantini, L. Di Lella, N. Doble, M. Giorgi, S. Giudici, G. Lamanna, E. Lari, E. Pedreschi, M. Sozzi, C. Cerri, R. Fantechi, L. Pontisso, F. Spinella, I. Mannelli, G. D’Agostini, M. Raggi, A. Biagioni, E. Leonardi, A. Lonardo, P. Valente, P. Vicini, R. Ammendola, V. Bonaiuto, A. Fucci, A. Salamon, F. Sargeni, R. Arcidiacono, B. Bloch-Devaux, M. Boretto, E. Menichetti, E. Migliore, D. Soldi, C. Biino, A. Filippi, F. Marchetto, J. Engelfried, N. Estrada-Tristan, A. M. Bragadireanu, S. A. Ghinescu, O. E. Hutanu, A. Baeva, D. Baigarashev, D. Emelyanov, T. Enik, V. Falaleev, V. Kekelidze, A. Korotkova, L. Litov, D. Madigozhin, M. Misheva, N. Molokanova, S. Movchan, I. Polenkevich, Yu. Potrebenikov, S. Shkarovskiy, A. Zinchenko, S. Fedotov, E. Gushchin, A. Khotyantsev, Y. Kudenko, V. Kurochka, M. Medvedeva, A. Mefodev, S. Kholodenko, V. Kurshetsov, V. Obraztsov, A. Ostankov, V. Semenov, V. Sugonyaev, O. Yushchenko, L. Bician, T. Blazek, V. Cerny, Z. Kucerova, J. Bernhard, A. Ceccucci, H. Danielsson, N. De Simone, F. Duval, B. Döbrich, L. Federici, E. Gamberini, L. Gatignon, R. Guida, F. Hahn, E. B. Holzer, B. Jenninger, M. Koval, P. Laycock, G. Lehmann Miotto, P. Lichard, A. Mapelli, R. Marchevski, K. Massri, M. Noy, V. Palladino, M. Perrin-Terrin, J. Pinzino, V. Ryjov, S. Schuchmann, S. Venditti, T. Bache, M. B. Brunetti, V. Duk, V. Fascianelli, J. R. Fry, F. Gonnella, E. Goudzovski, J. Henshaw, L. Iacobuzio, C. Lazzeroni, N. Lurkin, F. Newson, C. Parkinson, A. Romano, A. Sergi, A. Sturgess, J. Swallow, H. Heath, R. Page, S. Trilov, B. Angelucci, D. Britton, C. Graham, D. Protopopescu, J. Carmignani, J. B. Dainton, R. W. L. Jones, G. Ruggiero, L. Fulton, D. Hutchcroft, E. Maurice, B. Wrona, A. Conovaloff, P. Cooper, D. Coward, P. Rubin

ABSTRACT

The NA62 experiment reports the branching ratio measurement BRK+→π+νν¯=10.6−3.4+4.0stat±0.9syst×10−11\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \mathrm{BR}\left({K}^{+}\to {\pi}^{+}\nu \overline{\nu}\right)=\left({10.6}_{-3.4}^{+4.0}\left|{}_{\mathrm{stat}}\right.\pm {0.9}_{\mathrm{syst}}\right)\times {10}^{-11} $$\end{document} at 68% CL, based on the observation of 20 signal candidates with an expected background of 7.0 events from the total data sample collected at the CERN SPS during 2016–2018. This provides evidence for the very rare K+→π+νν¯\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ {\pi}^{+}\nu \overline{\nu} $$\end{document} decay, observed with a significance of 3.4σ. The experiment achieves a single event sensitivity of (0.839 ± 0.054) × 10−11, corresponding to 10.0 events assuming the Standard Model branching ratio of (8.4 ± 1.0) × 10−11. This measurement is also used to set limits on BR(K+→ π+X), where X is a scalar or pseudo-scalar particle. Details are given of the analysis of the 2018 data sample, which corresponds to about 80% of the total data sample. More... »

PAGES

93

References to SciGraph publications

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  • Journal

    TITLE

    Journal of High Energy Physics

    ISSUE

    6

    VOLUME

    2021

    Author Affiliations

  • Université Catholique de Louvain, B-1348, Louvain-La-Neuve, Belgium
  • CERN, European Organization for Nuclear Research, CH-1211, Geneva 23, Switzerland
  • Brookhaven National Laboratory, 11973, Upton, NY, USA
  • Institute for Nuclear Research of the Russian Academy of Sciences, 117312, Moscow, Russia
  • Faculty of Mathematics, Physics and Informatics, Comenius University, 842 48, Bratislava, Slovakia
  • TRIUMF, V6T 2A3, Vancouver, British Columbia, Canada
  • University of British Columbia, Vancouver, British Columbia, Canada
  • Department of Astronomy and Theoretical Physics, Lund University, SE 223-62, Lund, Sweden
  • Charles University, 116 36, Prague 1, Czech Republic
  • Institut für Kernphysik and Helmholtz Institute Mainz, Universität Mainz, D-55099, Mainz, Germany
  • Universität Würzburg, D-97070, Würzburg, Germany
  • Institut für Physik and PRISMA Cluster of Excellence, Universität Mainz, D-55099, Mainz, Germany
  • European XFEL GmbH, D-22761, Hamburg, Germany
  • Dipartimento di Fisica e Scienze della Terra dell’Università e INFN, Sezione di Ferrara, Ferrara, Italy
  • University of Glasgow, G12 8QQ, Glasgow, UK
  • INFN, Sezione di Ferrara, Ferrara, Italy
  • Dipartimento di Fisica e Astronomia dell’Università e INFN, Sezione di Firenze, I-50019, Sesto Fiorentino, Italy
  • Dipartimento di Fisica, Università di Modena e Reggio Emilia, I-41125, Modena, Italy
  • INFN, Sezione di Firenze, Sesto Fiorentino, Italy
  • Laboratori Nazionali di Frascati, I-00044, Frascati, Italy
  • Faculty of Physics, University of Sofia, BG-1164, Sofia, Bulgaria
  • Dipartimento di Fisica “Ettore Pancini” e INFN, Sezione di Napoli, Napoli, Italy
  • Dipartimento di Fisica e Geologia dell’Università e INFN, Sezione di Perugia, Perugia, Italy
  • University of Chinese Academy of Sciences, 100049, Beijing, China
  • INFN, Sezione di Perugia, I-06100, Perugia, Italy
  • Institut am Fachbereich Informatik und Mathematik, Goethe Universität, D-60323, Frankfurt am Main, Germany
  • Dipartimento di Fisica dell’Università e INFN, Sezione di Pisa, Pisa, Italy
  • INFN, Sezione di Pisa, I-56100, Pisa, Italy
  • Scuola Normale Superiore e INFN, Sezione di Pisa, Pisa, Italy
  • Dipartimento di Fisica, Sapienza Università di Roma e INFN, Sezione di Roma I, Roma, Italy
  • INFN, Sezione di Roma I, Roma, Italy
  • INFN, Sezione di Roma Tor Vergata, Roma, Italy
  • Department of Industrial Engineering, University of Roma Tor Vergata, I-00173, Roma, Italy
  • Department of Electronic Engineering, University of Roma Tor Vergata, I-00173, Roma, Italy
  • Università degli Studi del Piemonte Orientale, I-13100, Vercelli, Italy
  • Dipartimento di Fisica dell’Università e INFN, Sezione di Torino, Torino, Italy
  • INFN, Sezione di Torino, Torino, Italy
  • Instituto de Física, Universidad Autónoma de San Luis Potosí, San Luis Potosí, Mexico
  • Universidad de Guanajuato, Guanajuato, Mexico
  • Horia Hulubei National Institute of Physics for R&D in Physics and Nuclear Engineering, Bucharest-Magurele, Romania
  • Joint Institute for Nuclear Research, Dubna, Russia
  • Institute of Nuclear Research and Nuclear Energy of Bulgarian Academy of Science (INRNE-BAS), BG-1784, Sofia, Bulgaria
  • Moscow Institute of Physics and Technology, 141701, Moscow, Moscow region, Russia
  • Institute for High Energy Physics - State Research Center of Russian Federation, Protvino, Russia
  • DESY, D-15738, Zeuthen, Germany
  • University of Lancaster, LA1 4YW, Lancaster, UK
  • Physics Department, Imperial College London, SW7 2BW, London, UK
  • Aix Marseille University, CNRS/IN2P3, CPPM, F-13288, Marseille, France
  • University of Birmingham, Birmingham, United Kingdom
  • Department of Physics, University of Warwick, CV4 7AL, Coventry, UK
  • Center for theoretical neuroscience, Columbia University, 10027, New York, NY, USA
  • Dipartimento di Fisica dell’Università e INFN, Sezione di Genova, I-16146, Genova, Italy
  • University of Bristol, Bristol, United Kingdom
  • University of Liverpool, Liverpool, United Kingdom
  • Laboratoire Leprince Ringuet, F-91120, Palaiseau, France
  • George Mason University, Fairfax, Virginia, USA
  • SLAC National Accelerator Laboratory, Stanford University, 94025, Menlo Park, CA, USA
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/jhep06(2021)093

    DOI

    http://dx.doi.org/10.1007/jhep06(2021)093

    DIMENSIONS

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    22 schema:description The NA62 experiment reports the branching ratio measurement BRK+→π+νν¯=10.6−3.4+4.0stat±0.9syst×10−11\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \mathrm{BR}\left({K}^{+}\to {\pi}^{+}\nu \overline{\nu}\right)=\left({10.6}_{-3.4}^{+4.0}\left|{}_{\mathrm{stat}}\right.\pm {0.9}_{\mathrm{syst}}\right)\times {10}^{-11} $$\end{document} at 68% CL, based on the observation of 20 signal candidates with an expected background of 7.0 events from the total data sample collected at the CERN SPS during 2016–2018. This provides evidence for the very rare K+→π+νν¯\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ {\pi}^{+}\nu \overline{\nu} $$\end{document} decay, observed with a significance of 3.4σ. The experiment achieves a single event sensitivity of (0.839 ± 0.054) × 10−11, corresponding to 10.0 events assuming the Standard Model branching ratio of (8.4 ± 1.0) × 10−11. This measurement is also used to set limits on BR(K+→ π+X), where X is a scalar or pseudo-scalar particle. Details are given of the analysis of the 2018 data sample, which corresponds to about 80% of the total data sample.
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