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Record W3156302452 · doi:10.1103/physrevd.104.012009

Limits on sub-GeV dark matter from the PROSPECT reactor antineutrino experiment

2021· article· en· W3156302452 on OpenAlexafffund
M. Andriamirado, A. B. Balantekin, H. R. Band, C.D. Bass, Denis E. Bergeron, N. S. Bowden, C.D. Bryan, T. Classen, Andrew Conant, G. Deichert, M. Diwan, M. J. Dolinski, Anna Erickson, B. T. Foust, J. K. Gaison, A. Galindo-Uribarri, C. E. Gilbert, S. Hans, A. B. Hansell, K. M. Heeger, B. Heffron, D. E. Jaffe, S. Jayakumar, X. B. Ji, D. Jones, J. Koblanski, O. Kyzylova, C. Lane, T. J. Langford, J. LaRosa, B. R. Littlejohn, X. Lu, J. Maricic, M. P. Mendenhall, A. M. Meyer, P. E. Mueller, H. P. Mumm, J. Napolitano, R. Neilson, J. A. Nikkel, S. Nour, J. L. Palomino, D. A. Pushin, X. Qian, R. Rosero, P. T. Surukuchi, M. A. Tyra, R. L. Varner, D. Venegas-Vargas, P. Weatherly, C. White, J. Wilhelmi, A. Woolverton, M. Yeh, C. Zhang, Xianyi Zhang, Christopher V. Cappiello

Bibliographic record

VenuePhysical review. D/Physical review. D. · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicDark Matter and Cosmic Phenomena
Canadian institutionsUniversity of Waterloo
FundersLawrence Livermore National LaboratoryHigh Energy PhysicsOffice of Defense Nuclear NonproliferationNational Nuclear Security AdministrationYale UniversityTemple UniversityNational Institute of Standards and TechnologyHeising-Simons FoundationOak Ridge National LaboratoryIllinois Institute of TechnologyOffice of ScienceCanada First Research Excellence FundNatural Sciences and Engineering Research Council of CanadaDrexel UniversityLaboratory Directed Research and DevelopmentBattelleNational Science FoundationBrookhaven National LaboratoryU.S. Department of Energy
KeywordsPhysicsDark matterCosmic rayNeutrinoNuclear physicsSidereal timeLight dark matterFlux (metallurgy)Scalar field dark matterParticle physicsAstrophysicsDark energyCosmology

Abstract

fetched live from OpenAlex

If dark matter has mass lower than around 1 GeV, it will not impart enough energy to cause detectable nuclear recoils in many direct-detection experiments. However, if dark matter is upscattered to high energy by collisions with cosmic rays, it may be detectable in both direct-detection experiments and neutrino experiments. We report the results of a dedicated search for boosted dark matter upscattered by cosmic rays, using $\ensuremath{\sim}14.6$ solar days of data from the PROSPECT reactor antineutrino experiment. We show that such a flux of upscattered dark matter would display characteristic diurnal sidereal modulation, and use this to set new experimental constraints on sub-GeV dark matter exhibiting large interaction cross sections.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.016
GPT teacher head0.365
Teacher spread0.349 · 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

Citations48
Published2021
Admission routes2
Has abstractyes

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