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Measurement of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mrow><mml:mmultiscripts><mml:mrow><mml:mi>Na</mml:mi></mml:mrow><mml:mprescripts/><mml:none/><mml:mrow><mml:mn>23</mml:mn></mml:mrow></mml:mmultiscripts></mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mi>α</mml:mi><mml:mo>,</mml:mo><mml:mi>p</mml:mi><mml:mo stretchy="false">)</mml:mo><mml:mrow><mml:mmultiscripts><mml:mrow><mml:mi>Mg</mml:mi></mml:mrow><mml:mprescripts/><mml:none/><mml:mrow><mml:mn>26</mml:mn></mml:mrow></mml:mmultiscripts></mml:mrow></mml:mrow></mml:math>at Energies Relevant to<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mmultiscripts><mml:mrow><mml:mi>Al</mml:mi></mml:mrow><mml:mprescripts/><mml:none/><mml:mrow><mml:mn>26</mml:mn></mml:mrow></mml:mmultiscripts></mml:mrow></mml:math>Production in Massive Stars

2015· article· lv· W2460529097 on OpenAlexaff
Jessica Tomlinson, J. Fallis, A. M. Laird, S. P. Fox, C. Akers, M. Alcorta, M. A. Bentley, G. Christian, B. Davids, T. Davinson, Benjamin J. Fulton, N. Galinski, A. Rojas, C. Ruiz, N. de Séréville, Mouquan Shen, A. C. Shotter

Bibliographic record

VenuePhysical Review Letters · 2015
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicNuclear physics research studies
Canadian institutionsTRIUMF
FundersScience and Technology Facilities Council
KeywordsNucleosynthesisPhysicsSensitivity (control systems)Reaction rateGalaxyInverseStarsAstrophysicsAlgorithmComputer scienceChemistryGeometryMathematics

Abstract

fetched live from OpenAlex

$^{26}\mathrm{Al}$ is an important radioisotope in astrophysics that provides evidence of ongoing nucleosynthesis in the Galaxy. The $^{23}\mathrm{Na}(\ensuremath{\alpha},\text{ }p)^{26}\mathrm{Mg}$ reaction has been identified by a sensitivity study as being one of the most important reactions for the production of $^{26}\mathrm{Al}$ in the convective C/Ne burning shell of massive stars. Owing to large uncertainties in previous experimental data, model calculations are used for the reaction rate of $^{23}\mathrm{Na}(\ensuremath{\alpha},\text{ }p)^{26}\mathrm{Mg}$ in this sensitivity study. Current experimental data suggest a reaction rate a factor of $\ensuremath{\sim}40$ higher than model calculations. However, a new measurement of this reaction cross section has been made in inverse kinematics in the energy range ${E}_{\mathrm{c}.\mathrm{m}.}=1.28--3.15\text{ }\text{ }\mathrm{MeV}$ at TRIUMF, and found to be in reasonable agreement with the model calculation. A new reaction rate is calculated and tight constraints on the uncertainty in the production of $^{26}\mathrm{Al}$, due to this reaction, are determined.

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)0.003
metaresearch head score (Gemma)0.018
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: none
Teacher disagreement score0.199
Threshold uncertainty score0.667

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.018
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.004
Science and technology studies0.0020.001
Scholarly communication0.0060.005
Open science0.0030.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.1990.210

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 head0.028
GPT teacher head0.263
Teacher spread0.235 · 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

Citations13
Published2015
Admission routes1
Has abstractyes

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