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Record W2605775052 · doi:10.1103/physrevd.95.112002

Search for sterile neutrino mixing using three years of IceCube DeepCore data

2017· article· en· W2605775052 on OpenAlexafffund
M. G. Aartsen, M. Ackermann, J. Adams, J. A. Aguilar, M. Ahlers, M. Ahrens, I. Al Samarai, D. Altmann, K. Andeen, T. Anderson, I. Ansseau, G. Anton, M. Archinger, C. Argüelles, J. Auffenberg, Spencer Axani, X. Bai, S. W. Barwick, V. Baum, R. Bay, J. J. Beatty, J. Becker Tjus, K. H. Becker, S. BenZvi, D. Berley, E. Bernardini, Dominique Besson, G. Binder, D. Bindig, E. Blaufuss, Summer Blot, C. C. Ohm, M. Börner, F. Bos, D. Bose, S. Böser, O. Botner, J. Braun, L. Brayeur, T. Bretz, S. Bron, A. Burgman, T. Carver, M. Casier, E. Cheung, D. Chirkin, A. Christov, K. Clark, L. Classen, S. Coenders, G. H. Collin, J. M. Conrad, D. F. Cowen, R. Cross, M. Day, J. P. A. M. de André, C. De Clercq, E. del Pino Rosendo, H.-P. Dembinski, S. De Ridder, P. Desiati, K. D. de Vries, G. de Wasseige, M. de With, T. DeYoung, J. C. Díaz–Vélez, V. di Lorenzo, H. Dujmovic, J. Dumm, M. Dunkman, B. Eberhardt, T. Ehrhardt, B. Eichmann, P. Eller, S. Euler, P. A. Evenson, S. Fahey, A. R. Fazely, J. Feintzeig, J. Felde, K. Filimonov, C. Finley, S. Flis, C.-C. Fösig, A. Franckowiak, E. Friedman, T. Fuchs, T. K. Gaisser, J. Gallagher, L. Gerhardt, K. Ghorbani, W. Giang, L. Gladstone, Theo Glauch, T. Glüsenkamp, A. Goldschmidt, J. G. Gonzalez, D. Grant, Z. Griffith, Christian Haack, A. Hallgren, F. Halzen, E. Hansen, T. Hansmann, K. Hanson, D. Hebecker, D. Heereman, K. Helbing, R. Hellauer, S. Hickford, J. Hignight, G. C. Hill, K. D. Hoffman, R. Hoffmann, K. Hoshina, F. Huang, M. E. Huber, K. Hultqvist, S. In, A. Ishihara, E. Jacobi, G. S. Japaridze, Minjin Jeong, K. Jero, B. J. P. Jones, Woosik Kang, A. Kappes, T. Karg, A. Karle, U. Katz, M. Kauer, A. Keivani, J. L. Kelley, Ali Kheirandish, J. Kim, M. Kim, T. Kintscher, J. Kiryluk, T. Kittler, G. Kohnen, Ramesh Koirala, H. Kolanoski, R. Konietz, L. Köpke, Claudio Kopper, S. Kopper, D. J. Koskinen, M. Kowalski, K. Krings, M. Kroll, G. Krückl, C. Krüger, J. Kunnen, S. Kunwar, N. Kurahashi, T. Kuwabara, A. Kyriacou, M. Labare, J. L. Lanfranchi, M. J. Larson, Frederik Hermann Lauber, D. Lennarz, M. Lesiak-Bzdak, M. Leuermann, L. Lu, J. Lünemann, J. Madsen, G. Maggi, K. B. M. Mahn, Sarah Mancina, M. Mandelartz, R. Maruyama, K. Mase, R. Maunu, Frank McNally, K. Meagher, M. Medici, Maximilian Meier, T. Menne, G. Merino, T. Meures, S. Miarecki, Jessie Micallef, G. Momenté, T. Montaruli, Marjon Moulai, R. Nahnhauer, U. Naumann, G. Neer, Hans Niederhausen, Sarah Nowicki, D. R. Nygren, A. Obertacke Pollmann, A. Olivas, A. O’Murchadha, T. Palczewski, Hershal Pandya, D. V. Pankova, P. Peiffer, Ö. Penek, Joshua Pepper, C. Pérez de los Heros, D. Pieloth, E. Pinat, P. Buford Price, G. T. Przybylski, M. Quinnan, Christoph Raab, L. Rädel, M. Rameez, K. Rawlins, R. Reimann, B. Relethford, M. Relich, E. Resconi, W. Rhode, M. Richman, B. Riedel, S. Robertson, Martin Rongen, C. Rott, T. Ruhe, D. Ryckbosch, D. Rysewyk, L. Sabbatini, S. E. Sanchez Herrera, Alexander Sandrock, J. Sandroos, S. Sarkar, K. Satalecka, P. Schlunder, Torsten C. Schmidt, S. Schoenen, S. Schöneberg, L. Schumacher, D. Seckel, S. Seunarine, Dennis Soldin, M. Song, G. M. Spiczak, Christian Spiering, Juliana Stachurska, T. Stanev, A. Stasik, J. Stettner, A. Steuer, T. Stezelberger, R. G. Stokstad, A. Stößl, L. R. Strom, N. L. Strotjohann, G. W. Sullivan, M. Sutherland, H. Taavola, I. Taboada, J. Tatar, F. Tenholt, S. Ter–Antonyan, A. Terliuk, G. Tešić, S. Tilav, P. A. Toale, M. N. Tobin, S. Toscano, D. Tosi, M. Tselengidou, C. F. Tung, A. Turcati, E. Unger, M. Usner, J. Vandenbroucke, N. van Eijndhoven, S. Vanheule, M. van Rossem, J. V. Santen, M. Vehring, M. Vöge, E. Vogel, M. Vraeghe, C. Walck, A. Wallace, M. Wallraff, N. Wandkowsky, A. Waza, Ch. Weaver, Matthew J. Weiss, Chris Wendt, S. Westerhoff, B. J. Whelan, S. Wickmann, K. Wiebe, C. H. Wiebusch, L. Wille, D. R. Williams, L. Wills, Martin Wolf, T. R. Wood, E. Woolsey, K. Woschnagg, D. L. Xu, Xiaolin Xu, Y. Xu, J. P. Yanez, G. Yodh, S. Yoshida, M. Zoll

Bibliographic record

VenuePhysical review. D/Physical review. D. · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNeutrino Physics Research
Canadian institutionsUniversity of AlbertaUniversity of Toronto
FundersOffice of Polar ProgramsJapan Society for the Promotion of ScienceScience and Technology Facilities CouncilNatural Sciences and Engineering Research Council of CanadaKnut och Alice Wallenbergs StiftelseAgentschap voor Innovatie door Wetenschap en TechnologieFonds Wetenschappelijk OnderzoekMarsden FundBundesministerium für Bildung und ForschungHelmholtz Alliance for Astroparticle PhysicsDanmarks GrundforskningsfondSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science FoundationBelgian Federal Science Policy OfficeDeutsche ForschungsgemeinschaftNational Research FoundationAustralian Research CouncilWestern Canada Research GridUniversity of OxfordVlaamse regeringFonds De La Recherche Scientifique - FNRSPolarforskningssekretariatetCompute CanadaVetenskapsrådetU.S. Department of EnergyUniversity of Wisconsin-MadisonVillum FondenNational Research Foundation of KoreaHelmholtz-Gemeinschaft
KeywordsNeutrinoPhysicsSterile neutrinoParticle physicsSolar neutrino problemMixing (physics)Muon neutrinoSolar neutrinoMeasurements of neutrino speedNeutrino oscillationMuonNeutrino detectorNuclear physicsNeutrino astronomy

Abstract

fetched live from OpenAlex

We present a search for a light sterile neutrino using three years of atmospheric neutrino data from the DeepCore detector in the energy range of approximately 10--60 GeV. DeepCore is the low-energy subarray of the IceCube Neutrino Observatory. The standard three-neutrino paradigm can be probed by adding an additional light ($\mathrm{\ensuremath{\Delta}}{m}_{41}^{2}\ensuremath{\sim}1\text{ }\text{ }{\mathrm{eV}}^{2}$) sterile neutrino. Sterile neutrinos do not interact through the standard weak interaction and, therefore, cannot be directly detected. However, their mixing with the three active neutrino states leaves an imprint on the standard atmospheric neutrino oscillations for energies below 100 GeV. A search for such mixing via muon neutrino disappearance is presented here. The data are found to be consistent with the standard three-neutrino hypothesis. Therefore, we derive limits on the mixing matrix elements at the level of $|{U}_{\ensuremath{\mu}4}{|}^{2}<0.11$ and $|{U}_{\ensuremath{\tau}4}{|}^{2}<0.15$ (90% C.L.) for the sterile neutrino mass splitting $\mathrm{\ensuremath{\Delta}}{m}_{41}^{2}=1.0\text{ }\text{ }{\mathrm{eV}}^{2}$.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.129
GPT teacher head0.521
Teacher spread0.392 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations157
Published2017
Admission routes2
Has abstractyes

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