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Record W7020666718

Measurement of the B-8 solar neutrino flux in SNO plus with very low backgrounds

2019· article· en· W7020666718 on OpenAlexfundno aff

Bibliographic record

VenueLancaster EPrints (Lancaster University) · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNeutrino Physics Research
Canadian institutionsnot available
FundersNuclear PhysicsDirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de MéxicoFundação para a Ciência e a TecnologiaNational Nuclear Security AdministrationOffice of ScienceSimon Fraser UniversityOntario Ministry of Research, Innovation and ScienceQueen's UniversityU.S. Department of EnergyEuropean CommissionDeutsche ForschungsgemeinschaftFermilabHigh Energy PhysicsOntario Ministry of Research and InnovationWestern Canada Research GridUniversity of AlbertaScience and Technology Facilities CouncilStrongCanadian Institute for Advanced ResearchNorthern Ontario Heritage Fund CorporationNational Science FoundationCompute CanadaConsejo Nacional de Ciencia y Tecnología
KeywordsSolar neutrinoNeutrinoFlux (metallurgy)Neutrino detectorSolar neutrino problemEvent (particle physics)Neutrino oscillationSolar energetic particles
DOInot available

Abstract

fetched live from OpenAlex

A measurement of the B-8 solar neutrino flux has been made using a 69.2 kt-day dataset acquired with the SNO+ detector during its water commissioning phase. At energies above 6 MeV the dataset is an extremely pure sample of solar neutrino elastic scattering events, owing primarily to the detector's deep location, allowing an accurate measurement with relatively little exposure. In that energy region the best tit background rate is 0.25(-0.07)(+0.09) events/kt-day, significantly lower than the measured solar neutrino event rate in that energy range, which is 1.03(-0.12)(+0.13) events/kt-day. Also using data below this threshold, don to 5 MeV, fits of the solar neutrino event direction yielded an observed flux of 2.51(-0.28)(+0.31)(stat)(-0.10)(+0.13)(syst) x 10(6) cm(-2) s(-1), assuming no neutrino oscillations. This rate is consistent with matter enhanced neutrino oscillations and measurements from other experiments.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.125
Threshold uncertainty score0.822

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.207
Teacher spread0.191 · 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 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

Citations0
Published2019
Admission routes1
Has abstractyes

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