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Search for Boosted Dark Matter Interacting with Electrons in Super-Kamiokande

2018· article· en· W2768822702 on OpenAlexafffund
C. Kachulis, K. Abe, C. Bronner, Y. Hayato, M. Ikeda, K. Iyogi, J. Kameda, Y. Kato, Y. Kishimoto, Ll. Marti, M. Miura, S. Moriyama, M. Nakahata, Y. Nakano, S. Nakayama, Y. Okajima, A. Orii, G. Pronost, H. Sekiya, M. Shiozawa, Y. Sonoda, A. Takeda, A. Takenaka, H. Tanaka, S. Tasaka, T. Tomura, R. Akutsu, T. Kajita, K. Kaneyuki, Y. Nishimura, K. Okumura, K. M. Tsui, L. Labarga, P. Fernández, F. d. M. Blaszczyk, J. Gustafson, E. Kearns, J. L. Raaf, J. L. Stone, L. R. Sulak, S. Berkman, S. Tobayama, M. Goldhaber, M. Elnimr, W. R. Kropp, S. Mine, S. Locke, P. Weatherly, M. B. Smy, H. W. Sobel, Volodymyr Takhistov, K. S. Ganezer, J. Hill, J. Y. Kim, I. T. Lim, R. G. Park, A. Himmel, Z. Li, Erin O’Sullivan, K. Scholberg, C. W. Walter, T. Ishizuka, T. Nakamura, J. S. Jang, K. Choi, J. G. Learned, S. Matsuno, S. N. Smith, J. L. Amey, R. P. Litchfield, W. Y., Y. Uchida, M. O. Wascko, S. Cao, M. Friend, T. Hasegawa, Toru Ishida, T. Ishii, T. Kobayashi, T. Nakadaira, K. Nakamura, Y. Oyama, K. Sakashita, T. Sekiguchi, T. Tsukamoto, KE. Abe, M. Hasegawa, A. T. Suzuki, Y. Takeuchi, T. Yano, T. Hayashino, T. Hiraki, S. Hirota, K. Huang, M. Jiang, KE. Nakamura, T. Nakaya, B. Quilain, N. D. Patel, R. A. Wendell, L. H. V. Anthony, N. McCauley, A. Pritchard, Y. Fukuda, Y. Itow, M. Murase, F. Muto, P. Mijakowski, K. Frankiewicz, C. K. Jung, X Li, J. L. Palomino, G. Santucci, C. Vilela, Alexander S. Wilkinson, C. Yanagisawa, S. Ito, D. Fukuda, H. Ishino, A. Kibayashi, Y. Koshio, Hiroshi Nagata, M. Sakuda, Chenyuan Xu, Y. Kuno, D. Wark, F. Di Lodovico, B. Richards, R. Tacik, S. B. Kim, A. Cole, L.F. Thompson, H. Okazawa, Y. Choi, Kei Ito, K. Nishijima, M. Koshiba, Y. Totsuka, Y. Suda, M. Yokoyama, R. G. Calland, M. Hartz, K. Martens, Charles Simpson, Y. Suzuki, M. R. Vagins, D. Hamabe, M. Kuze, T. Yoshida, M. Ishitsuka, C. Nantais, H. A. Tanaka, A. Konaka, S Chen, L. Wan, Y. Zhang, R. J. Wilkes, A. Minamino

Bibliographic record

VenuePhysical Review Letters · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicDark Matter and Cosmic Phenomena
Canadian institutionsUniversity of ReginaUniversity of British ColumbiaTRIUMFUniversity of Toronto
FundersH2020 European Research CouncilNatural Sciences and Engineering Research Council of CanadaJapan Society for the Promotion of ScienceHorizon 2020 Framework ProgrammeMinistry of Science, ICT and Future PlanningMinistry of Education, Culture, Sports, Science and TechnologyKerman Neuroscience Research Center, Kerman University of Medical SciencesScience and Technology Facilities CouncilNational Research FoundationNarodowym Centrum NaukiNarodowe Centrum NaukiU.S. Department of EnergyEuropean CommissionWestern Canada Research GridNational Natural Science Foundation of ChinaNational Science FoundationCompute CanadaNational Research Foundation of Korea
KeywordsSuper-KamiokandePhysicsElectronDark matterParticle physicsNuclear physicsNeutrinoSolar neutrino

Abstract

fetched live from OpenAlex

A search for boosted dark matter using 161.9 kt yr of Super-Kamiokande IV data is presented. We search for an excess of elastically scattered electrons above the atmospheric neutrino background, with a visible energy between 100 MeV and 1 TeV, pointing back to the Galactic center or the Sun. No such excess is observed. Limits on boosted dark matter event rates in multiple angular cones around the Galactic center and Sun are calculated. Limits are also calculated for a baseline model of boosted dark matter produced from cold dark matter annihilation or decay. This is the first experimental search for boosted dark matter from the Galactic center or the Sun interacting in a terrestrial detector.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.108
Threshold uncertainty score0.572

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.297
Teacher spread0.283 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations62
Published2018
Admission routes2
Has abstractyes

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