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Record W2505069699 · doi:10.1103/physrevd.94.082006

Search for low-mass WIMPs in a 0.6 kg day exposure of the DAMIC experiment at SNOLAB

2016· article· en· W2505069699 on OpenAlexafffund
A. A. Aguilar-Arevalo, D. Amidei, X. Bertou, Melissa Butner, Gustavo Cancelo, A. Vázquez, Brenda A. Cervantes-Vergara, Á. Chavarría, Claudio Chavez, Juan Carlos D’Olivo, Juan Estrada, Guillermo Fernández Moroni, R. Gaïor, Y. Guardincerri, K. Torres, Federico Izraelevitch, A. Kavner, B. Kilminster, I. Lawson, A. Letessier‐Selvon, J. Liao, V. B. B. Mello, Jorge Molina, J. R. Peña, Paolo Privitera, Karthik Ramanathan, Y. Sarkis, T. Schwarz, Atınç Çağan Şengül, M. Settimo, M. Sofo Haro, R. Thomas, Javier Tiffenberg, E. Tiouchichine, D. Torres Machado, Frédéric Trillaud, X. You, J. Zhou

Bibliographic record

VenuePhysical review. D/Physical review. D. · 2016
Typearticle
Languageen
FieldPhysics and Astronomy
TopicDark Matter and Cosmic Phenomena
Canadian institutionsSnolab
FundersFermilabOntario Ministry of Research and InnovationDirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de MéxicoInstitut Lagrange de ParisUniversidad Nacional Autónoma de MéxicoCanada Foundation for InnovationCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorFundação de Amparo à Pesquisa do Estado de São PauloOntario Ministry of Research, Innovation and ScienceSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungConselho Nacional de Desenvolvimento Científico e TecnológicoUniversity of ChicagoKavli FoundationAgence Nationale de la RechercheConsejo Nacional de Ciencia y TecnologíaNational Science Foundation
KeywordsWIMPPhysicsDark matterNuclear physicsWeakly interacting massive particlesDetectorCosmic raySemiconductor detectorParticle physicsAtomic physicsAstrophysicsDark energyOpticsCosmology

Abstract

fetched live from OpenAlex

We present results of a dark matter search performed with a 0.6 kg d exposure of the DAMIC experiment at the SNOLAB underground laboratory. We measure the energy spectrum of ionization events in the bulk silicon of charge-coupled devices down to a signal of 60 eV electron equivalent. The data are consistent with radiogenic backgrounds, and constraints on the spin-independent WIMP-nucleon elastic-scattering cross section are accordingly placed. A region of parameter space relevant to the potential signal from the CDMS-II Si experiment is excluded using the same target for the first time. This result obtained with a limited exposure demonstrates the potential to explore the low-mass WIMP region ($<10\text{ }\text{ }\mathrm{GeV}\text{ }{c}^{\ensuremath{-}2}$) with the upcoming DAMIC100, a 100 g detector currently being installed in SNOLAB.

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)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.383
Teacher spread0.368 · 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 designBench or experimental
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

Citations168
Published2016
Admission routes2
Has abstractyes

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