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Classical-Nova Contribution to the Milky Way’s<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mmultiscripts><mml:mi>Al</mml:mi><mml:mprescripts/><mml:none/><mml:mn>26</mml:mn></mml:mmultiscripts></mml:math>Abundance: Exit Channel of the Key<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mmultiscripts><mml:mi>Al</mml:mi><mml:mprescripts/><mml:none/><mml:mn>25</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>Si</mml:mi><mml:mprescripts/><mml:none/><mml:mn>26</mml:mn></mml:mmultiscripts></mml:math>Resonance

2013· article· lv· W2252934837 on OpenAlexaff
M. B. Bennett, C. Wrede, K. A. Chipps, J. José, S. N. Liddick, Marco D. Santia, A. Bowe, A. A. Chen, Natalie Cooper, D. Irvine, E. McNeice, F. Montes, F. Naqvi, R. Ortez, S. D. Pain, J. Pereira, C. J. Prokop, J. Quaglia, S. J. Quinn, Sanford Schwartz, Safwan Shanab, A. Simon, A. Spyrou, E. Thiagalingam

Bibliographic record

VenuePhysical Review Letters · 2013
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicNuclear physics research studies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPhysicsEnergy (signal processing)Production (economics)OmegaQuantum mechanics

Abstract

fetched live from OpenAlex

Classical novae are expected to contribute to the 1809-keV Galactic $\ensuremath{\gamma}$-ray emission by producing its precursor $^{26}\mathrm{Al}$, but the yield depends on the thermonuclear rate of the unmeasured $^{25}\mathrm{Al}(p,\ensuremath{\gamma})^{26}\mathrm{Si}$ reaction. Using the $\ensuremath{\beta}$ decay of $^{26}\mathrm{P}$ to populate the key ${J}^{\ensuremath{\pi}}={3}^{+}$ resonance in this reaction, we report the first evidence for the observation of its exit channel via a $1741.6\ifmmode\pm\else\textpm\fi{}0.6(\mathrm{stat})\ifmmode\pm\else\textpm\fi{}0.3(\mathrm{syst})\text{ }\text{ }\mathrm{keV}$ primary $\ensuremath{\gamma}$ ray, where the uncertainties are statistical and systematic, respectively. By combining the measured $\ensuremath{\gamma}$-ray energy and intensity with other experimental data on $^{26}\mathrm{Si}$, we find the center-of-mass energy and strength of the resonance to be ${E}_{r}=414.9\ifmmode\pm\else\textpm\fi{}0.6(\mathrm{stat})\ifmmode\pm\else\textpm\fi{}0.3(\mathrm{syst})\ifmmode\pm\else\textpm\fi{}0.6(\mathrm{lit}.)\text{ }\text{ }\mathrm{keV}$ and $\ensuremath{\omega}\ensuremath{\gamma}=23\ifmmode\pm\else\textpm\fi{}6(\mathrm{stat}{)}_{\ensuremath{-}10}^{+11}(\mathrm{lit}.)\text{ }\text{ }\mathrm{meV}$, respectively, where the last uncertainties are from adopted literature data. We use hydrodynamic nova simulations to model $^{26}\mathrm{Al}$ production showing that these measurements effectively eliminate the dominant experimental nuclear-physics uncertainty and we estimate that novae may contribute up to 30% of the Galactic $^{26}\mathrm{Al}$.

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), Meta-epidemiology (broad), 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 score0.671
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.007
Meta-epidemiology (narrow)0.0060.010
Meta-epidemiology (broad)0.0030.011
Bibliometrics0.0020.006
Science and technology studies0.0100.011
Scholarly communication0.0080.008
Open science0.0140.013
Research integrity0.0070.012
Insufficient payload (model declined to judge)0.0350.011

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 head0.023
GPT teacher head0.263
Teacher spread0.239 · 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

Citations49
Published2013
Admission routes1
Has abstractyes

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