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Neutron Poisons and neutron sources - from the nuclear point of view

2025· article· en· W4416296104 on OpenAlexaff
M. Wiescher, R. J. deBoer, J. Görres, L. Buchmann, Chris Ruiz

Bibliographic record

VenueThe European Physical Journal A · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicCold Fusion and Nuclear Reactions
Canadian institutionsTRIUMF
FundersOffice of International Science and EngineeringUniversity of Notre DameNational Science Foundation
KeywordsNeutronNeutron sourceNeutron poisonNeutron cross sectionNeutron fluxr-processNeutron captureNeutron temperatureNuclear astrophysics

Abstract

fetched live from OpenAlex

Abstract This paper is in memory of Roberto Gallino, a long-time collaborator on questions of neutron sources and neutron-induced reactions in stellar nucleosynthesis. We therefore discuss a topic that was of great interest to him, the correlation between neutron sources that provide the neutron flux for the production of heavy elements in the s -process and neutron poison reactions that reduce the number of neutrons in the stellar environment. Neutron poisons play a role in all s -process environments, such as the final phase of core helium burning of massive stars or the carbon pocket in hydrogen-helium intershell environment of low-mass AGB stars, originally proposed by Gallino and his co-workers more than 40 years ago. This paper will argue that neutron poison reactions serve as a neutron storage mechanism through which neutron sources can be fueled to provide a delayed neutron release.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.004
Scholarly communication0.0040.004
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.010
GPT teacher head0.206
Teacher spread0.196 · 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 designTheoretical or conceptual
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

Citations1
Published2025
Admission routes1
Has abstractyes

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