MétaCan
Menu
Back to cohort
Record W2732588351

First Determination of the 8Li Valence Neutron Asymptotic Normalization Coefficient Using the 7Li(8Li,7Li)8Li Reaction

2013· article· en· W2732588351 on OpenAlexfundno aff
Debra Howell, B. Davids, J. P. Greene, R. Kanungo, S. Mythili, Camilo Ruíz, G. Ruprecht, I. J. Thompson

Bibliographic record

VenueSummit (Simon Fraser University) · 2013
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNuclear Physics and Applications
Canadian institutionsnot available
FundersNuclear PhysicsNatural Sciences and Engineering Research Council of CanadaLawrence Livermore National LaboratoryTRIUMFU.S. Department of Energy
KeywordsNormalization (sociology)Valence (chemistry)NeutronPhysicsNuclear physicsQuantum mechanics
DOInot available

Abstract

fetched live from OpenAlex

Solar neutrino experiments have often been plagued with large uncertainties. With the recent results from the Borexino Collaboration, for the first time the total uncertainty in the 7Be solar neutrino flux measurement is smaller than the uncertainty of standard solar model (SSM) predictions. Improvement in neutrino experiments must be followed by refinements to the SSM; to do so requires reduced uncertainties on the parameters used in SSM calculations. One such value is the astrophysical S-factor describing the 7Be(p,gamma)8B reaction, S_{17}(0). We report here a determination of the asymptotic normalization coefficient (ANC) of the valence neutron in 8Li from a measurement of the angular distribution of the single neutron transfer between 8Li and 7Li via the 7Li(8Li,7Li)8Li reaction at 11 MeV. Using isospin symmetry the 8B ANC has also been calculated and used to infer a value for S_{17}(0) of 20.2 +/- 4.4 eV b.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.580
Threshold uncertainty score0.394

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.201
Teacher spread0.192 · 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

Citations2
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueSummit (Simon Fraser University)Same topicNuclear Physics and ApplicationsFrench-language works237,207