MétaCan
Menu
Back to cohort

Antineutrino flux from the EDF Hartlepool nuclear power plant

2024· article· en· W4399885763 on OpenAlexaboutno aff
Sandra Bogetic, R.W. Mills, A. Bernstein, J. P. Coleman, Alexander M. Morgan, A. Petts

Bibliographic record

VenuePhysical Review Applied · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNeutrino Physics Research
Canadian institutionsnot available
FundersLawrence Livermore National Laboratory
KeywordsNuclear engineeringRBMKNuclear reactor coreEnvironmental scienceNuclear reactorNuclear physicsFlux (metallurgy)Nuclear power plantCore (optical fiber)UraniumThermal power stationSensitivity (control systems)PhysicsMaterials scienceEngineering

Abstract

fetched live from OpenAlex

In this paper, we present a detailed simulation of the antineutrino emissions from an advanced gas-cooled reactor (AGR) core, benchmarked with input data from the United Kingdom Hartlepool reactors. An accurate description of the evolution of the antineutrino spectrum of reactor cores is needed to assess the performance of antineutrino-based monitoring concepts for nonproliferation, including estimations of the sensitivity of the antineutrino rate and spectrum to fuel content and reactor thermal power. The antineutrino spectral variation we present, while specific to AGRs, are different from studies published previously and help provide insight into the likely behavior of other reactor designs that use a similar refueling approach, such as those used in the RBMK ( -- ``high-power channel-type reactor''), CANDU (Canada Deuterium Uranium), and other reactors.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.059
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.302
Teacher spread0.287 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venuePhysical Review AppliedSame topicNeutrino Physics ResearchFrench-language works237,207