Samenvatting
| Originele taal-2 | English |
|---|---|
| Artikelnummer | 092009 |
| Pagina's (van-tot) | 1-19 |
| Aantal pagina's | 19 |
| Tijdschrift | Physical Review D |
| Volume | 110 |
| Nummer van het tijdschrift | 9 |
| DOI's | |
| Status | Published - 1 nov. 2024 |
Bibliografische nota
Publisher Copyright:© 2024 authors. Published by the American Physical Society. Published by the American Physical Society under the terms of the "https://creativecommons.org/licenses/by/4.0/"Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI. Funded by SCOAP3.
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- 10.1103/PhysRevD.110.092009Licentie: CC BY
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In: Physical Review D, Vol. 110, Nr. 9, 092009, 01.11.2024, blz. 1-19.
Onderzoeksoutput: Article › peer review
TY - JOUR
T1 - Methods and stability tests associated with the sterile neutrino search using improved high-energy νμ event reconstruction in IceCube
AU - IceCube Collaboration
AU - Coppin, Paul
AU - Correa Camiroaga, Pablo
AU - De Clercq, Catherine
AU - De Vries, Krijn
AU - Magnus, Else
AU - Merckx, Yarno
AU - Van Eijndhoven, Nicolaas
N1 - Funding Information: The IceCube Collaboration acknowledges the significant contributions to this manuscript from the Harvard University, Massachusetts Institute of Technology, and University of Texas at Arlington groups. We acknowledge the support from the following agencies: USA\u2014U.S. National Science Foundation-Office of Polar Programs, U.S. National Science Foundation-Physics Division, U.S. National Science Foundation-EPSCoR, U.S. National Science Foundation-Office of Advanced Cyberinfrastructure, Wisconsin Alumni Research Foundation, Center for High Throughput Computing (CHTC) at the University of Wisconsin\u2013Madison, Open Science Grid (OSG), Partnership to Advance Throughput Computing (PATh), Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS), Frontera computing project at the Texas Advanced Computing Center, U.S. Department of Energy-National Energy Research Scientific Computing Center, Particle astrophysics research computing center at the University of Maryland, Institute for Cyber-Enabled Research at Michigan State University, Astroparticle physics computational facility at Marquette University, NVIDIA Corporation, and Google Cloud Platform; Belgium\u2014Funds for Scientific Research (FRS-FNRS and FWO), FWO Odysseus and Big Science programmes, and Belgian Federal Science Policy Office (Belspo); Germany\u2014Bundesministerium f\u00FCr Bildung und Forschung (BMBF), Deutsche Forschungsgemeinschaft (DFG), Helmholtz Alliance for Astroparticle Physics (HAP), Initiative and Networking Fund of the Helmholtz Association, Deutsches Elektronen Synchrotron (DESY), and High Performance Computing cluster of the RWTH Aachen; Sweden\u2014Swedish Research Council, Swedish Polar Research Secretariat, Swedish National Infrastructure for Computing (SNIC), and Knut and Alice Wallenberg Foundation; European Union\u2014EGI Advanced Computing for research, and Horizon 2020 Marie Sk\u0142odowska-Curie Actions; Australia\u2014Australian Research Council; Canada\u2014Natural Sciences and Engineering Research Council of Canada, Calcul Qu\u00E9bec, Compute Ontario, Canada Foundation for Innovation, WestGrid, and Digital Research Alliance of Canada; Denmark\u2014Villum Fonden, Carlsberg Foundation, and European Commission; New Zealand\u2014Marsden Fund; Japan\u2014Japan Society for Promotion of Science (JSPS) and Institute for Global Prominent Research (IGPR) of Chiba University; Korea\u2014National Research Foundation of Korea (NRF); and Switzerland\u2014Swiss National Science Foundation (SNSF). Funding Information: The IceCube Collaboration acknowledges the significant contributions to this manuscript from the Harvard University, Massachusetts Institute of Technology, and University of Texas at Arlington groups. We acknowledge the support from the following agencies: USA-U.S. National Science Foundation-Office of Polar Programs, U.S. National Science Foundation-Physics Division, U.S. National Science Foundation-EPSCoR, U.S. National Science Foundation-Office of Advanced Cyberinfrastructure, Wisconsin Alumni Research Foundation, Center for High Throughput Computing (CHTC) at the University of Wisconsin-Madison, Open Science Grid (OSG), Partnership to Advance Throughput Computing (PATh), Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS), Frontera computing project at the Texas Advanced Computing Center, U.S. Department of Energy-National Energy Research Scientific Computing Center, Particle astrophysics research computing center at the University of Maryland, Institute for Cyber-Enabled Research at Michigan State University, Astroparticle physics computational facility at Marquette University, NVIDIA Corporation, and Google Cloud Platform; Belgium-Funds for Scientific Research (FRS-FNRS and FWO), FWO Odysseus and Big Science programmes, and Belgian Federal Science Policy Office (Belspo); Germany-Bundesministerium for Bildung und Forschung (BMBF), Deutsche Forschungsgemeinschaft (DFG), Helmholtz Alliance for Astroparticle Physics (HAP), Initiative and Networking Fund of the Helmholtz Association, Deutsches Elektronen Synchrotron (DESY), and High Performance Computing cluster of the RWTH Aachen; Sweden-Swedish Research Council, Swedish Polar Research Secretariat, Swedish National Infrastructure for Computing (SNIC), and Knut and Alice Wallenberg Foundation; European Union-EGI Advanced Computing for research, and Horizon 2020 Marie Sklodowska-Curie Actions; Australia-Australian Research Council; Canada-Natural Sciences and Engineering Research Council of Canada, Calcul Quebec, Compute Ontario, Canada Foundation for Innovation, WestGrid, and Digital Research Alliance of Canada; Denmark-Villum Fonden, Carlsberg Foundation, and European Commission; New Zealand-Marsden Fund; Japan-Japan Society for Promotion of Science (JSPS) and Institute for Global Prominent Research (IGPR) of Chiba University; Korea-National Research Foundation of Korea (NRF); and Switzerland-Swiss National Science Foundation (SNSF). Publisher Copyright: © 2024 authors. Published by the American Physical Society. Published by the American Physical Society under the terms of the "https://creativecommons.org/licenses/by/4.0/"Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI. Funded by SCOAP3.
PY - 2024/11/1
Y1 - 2024/11/1
N2 - We provide supporting details for the search for a 3+1 sterile neutrino using data collected over 10.7 years at the IceCube Neutrino Observatory. The analysis uses atmospheric muon-flavored neutrinos from 0.5 to 100 TeV that traverse Earth to reach the IceCube detector and finds a best-fit point at sin^2(2θ_{24})=0.16 and Δm_{41}^2=3.5 eV^2 with a goodness-of-fit p value of 12% and consistency with the null hypothesis of no oscillations to sterile neutrinos with a p-value of 3.1%. Several improvements were made over past analyses, which are reviewed in this article, including upgrades to the reconstruction and the study of sources of systematic uncertainty. We provide details of the fit quality and discuss stability tests that split the data for separate samples, comparing results. We find that the fits are consistent between split datasets.
AB - We provide supporting details for the search for a 3+1 sterile neutrino using data collected over 10.7 years at the IceCube Neutrino Observatory. The analysis uses atmospheric muon-flavored neutrinos from 0.5 to 100 TeV that traverse Earth to reach the IceCube detector and finds a best-fit point at sin^2(2θ_{24})=0.16 and Δm_{41}^2=3.5 eV^2 with a goodness-of-fit p value of 12% and consistency with the null hypothesis of no oscillations to sterile neutrinos with a p-value of 3.1%. Several improvements were made over past analyses, which are reviewed in this article, including upgrades to the reconstruction and the study of sources of systematic uncertainty. We provide details of the fit quality and discuss stability tests that split the data for separate samples, comparing results. We find that the fits are consistent between split datasets.
KW - Particle Physics Experiments
KW - High Energy Physics
KW - High Energy Physics - Phenomenology
UR - http://www.scopus.com/inward/record.url?scp=85209369233&partnerID=8YFLogxK
U2 - 10.1103/PhysRevD.110.092009
DO - 10.1103/PhysRevD.110.092009
M3 - Article
SN - 2470-0010
VL - 110
SP - 1
EP - 19
JO - Physical Review D
JF - Physical Review D
IS - 9
M1 - 092009
ER -