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Direct Measurements of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mmultiscripts><mml:mi>Na</mml:mi><mml:mprescripts/><mml:none/><mml:mn>22</mml:mn></mml:mmultiscripts><mml:mo stretchy="false">(</mml:mo><mml:mi>p</mml:mi><mml:mo>,</mml:mo><mml:mi>γ</mml:mi><mml:mo stretchy="false">)</mml:mo><mml:mmultiscripts><mml:mi>Mg</mml:mi><mml:mprescripts/><mml:none/><mml:mn>23</mml:mn></mml:mmultiscripts></mml:math>Resonances and Consequences for<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mmultiscripts><mml:mi>Na</mml:mi><mml:mprescripts/><mml:none/><mml:mn>22</mml:mn></mml:mmultiscripts></mml:math>Production in Classical Novae

2010· article· lv· W1917007950 on OpenAlexaff
A. L. Sallaska, C. Wrede, A. Garcı́a, D. W. Storm, T. A. D. Brown, Camilo Ruíz, K. A. Snover, D. Ottewell, L. Buchmann, Christof Vockenhuber, D. A. Hutcheon, J. A. Caggiano

Bibliographic record

VenuePhysical Review Letters · 2010
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicNuclear physics research studies
Canadian institutionsTRIUMF
Fundersnot available
KeywordsPhysicsThermonuclear fusionEnergy (signal processing)Atomic physicsAnalytical Chemistry (journal)Nuclear physicsPlasmaChemistryQuantum mechanics

Abstract

fetched live from OpenAlex

The radionuclide $^{22}\mathrm{Na}$ is a potential astronomical observable that is expected to be produced in classical novae in quantities that depend on the thermonuclear rate of the $^{22}\mathrm{Na}(p,\ensuremath{\gamma})^{23}\mathrm{Mg}$ reaction. We have measured the strengths of low-energy $^{22}\mathrm{Na}(p,\ensuremath{\gamma})^{23}\mathrm{Mg}$ resonances directly and absolutely using a radioactive $^{22}\mathrm{Na}$ target. We find the strengths of resonances at ${E}_{p}=213$, 288, 454, and 610 keV to be higher than previous measurements by factors of 2.4--3.2, and we exclude important contributions to the rate from proposed resonances at ${E}_{p}=198$, 209, and 232 keV. The $^{22}\mathrm{Na}$ abundances expected in the ejecta of classical novae are reduced by a factor of $\ensuremath{\approx}2$.

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)0.008
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.754
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.007
Meta-epidemiology (narrow)0.0060.010
Meta-epidemiology (broad)0.0030.009
Bibliometrics0.0030.005
Science and technology studies0.0080.011
Scholarly communication0.0070.008
Open science0.0110.010
Research integrity0.0070.011
Insufficient payload (model declined to judge)0.0250.005

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 head0.031
GPT teacher head0.274
Teacher spread0.243 · 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; both teacher heads agree on what is shown here.

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

Citations42
Published2010
Admission routes1
Has abstractyes

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