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First Measurement of a Weak <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mi>r</mml:mi> </mml:math> -Process Reaction on a Radioactive Nucleus

2025· article· en· W4408538490 on OpenAlexafffund
M. Williams, C. Angus, A. M. Laird, B. Davids, C. Aa. Diget, A. Fernández, J. Williams, A. N. Andreyev, H. Asch, A. A. Avaa, G. Bartram, S. Chakraborty, I. Dillmann, K. Directo, D. T. Doherty, E. Geerlof, C. J. Griffin, A. Grimes, G. Hackman, J. Henderson, K. Hudson, Dirk Hufschmidt, Jong Hwi Jeong, M. C. Jiménez de Haro, V. Karayonchev, A. Katrusiak, A. Lennarz, G. Lotay, B. Marlow, M. S. Martin, S. Molló, F. Montes, J. R. Murias, J. O’Neill, Kihong Pak, C. Paxman, L. Pedro-Botet, A. Psaltis, E. Raleigh-Smith, Daniel Rhodes, J S Rojo, M. Satrazani, Thierry Sauvage, C. Shenton, C. E. Svensson, Diana Tam, Louis K. Wagner, D. Yates

Bibliographic record

VenuePhysical Review Letters · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNuclear physics research studies
Canadian institutionsUniversity of British ColumbiaUniversity of GuelphSimon Fraser UniversityMcMaster UniversityTRIUMF
FundersAgencia Estatal de InvestigaciónEuropean Regional Development FundScience and Technology Facilities CouncilNatural Sciences and Engineering Research Council of CanadaNational Research Council CanadaBundesministerium für Bildung und Forschung
KeywordsNuclear reactionPhysicsYield (engineering)Nuclear physicsNucleonIonCross section (physics)Atomic physicsAnalytical Chemistry (journal)Chemistry

Abstract

fetched live from OpenAlex

This Letter reports on the first cross-section measurements for the ^{94}Sr(α,n)^{97}Zr and ^{86}Kr(α,n)^{89}Sr reactions. In particular, our measurement of ^{94}Sr(α,n)^{97}Zr is the first weak r-process reaction cross section obtained using a radioactive ion beam. This experiment was enabled by the use of novel solid helium targets, comprised of silicon thin films with high helium incorporation obtained via a sputtering technique. Yield measurements were performed at center-of-mass energies of 10.4 and 9.0 MeV for the ^{86}Kr(α,n)^{89}Sr reaction, and 9.9 MeV for ^{94}Sr(α,n)^{97}Zr, extending into the respective Gamow energy windows for a temperature of 5 GK. Reactions were uniquely identified by prompt γ rays detected in coincidence with heavy ions selected by a recoil mass spectrometer. The obtained cross sections are smaller than predicted for both reactions. In the case of ^{94}Sr(α,n)^{97}Zr, the reaction rate found here is lowered by an order of magnitude at temperatures below 5 GK, which is expected to impact the predicted abundance of ruthenium, a signature weak r-process element.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.974
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.022
GPT teacher head0.288
Teacher spread0.266 · 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.

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

Citations6
Published2025
Admission routes2
Has abstractyes

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