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Record W2215615105 · doi:10.1103/physrevc.91.034308

Spectroscopy of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mmultiscripts><mml:mi mathvariant="normal">Li</mml:mi><mml:mprescripts/><mml:mi>Λ</mml:mi><mml:mrow><mml:mn>9</mml:mn></mml:mrow></mml:mmultiscripts></mml:math>by electroproduction

2015· article· lv· W2215615105 on OpenAlexaff
G. M. Urciuoli, F. Cusanno, S. Marrone, A. Acha, P. Ambrozewicz, K. Aniol, P. Baturin, P.Y. Bertin, H. Benaoum, K. I. Blomqvist, W. Boeglin, H. Breuer, P. Brindza, P. Bydžovský, A. Camsonne, C. C. Chang, J.-P. Chen, Seonho Choi, E. Chudakov, E. Cisbani, S. Colilli, L. Coman, B. Craver, G. de Cataldo, C. W. de Jager, R. De Leo, A. Deur, C. Ferdi, R. J. Feuerbach, E. Folts, R. Fratoni, S. Frullani, F. Garibaldi, O. Gayou, F. Giuliani, J. Gómez, M. Gricia, O. Hansen, David Hayes, D. W. Higinbotham, Timothy Holmstrom, C. E. Hyde-Wright, H. Ibrahim, M. Iodice, X. S. Jiang, L. J. Kaufman, K. Kino, B. Kross, L. Lagamba, J. J. LeRose, R. Lindgren, M. Lucentini, D. J. Margaziotis, P. Markowitz, Z.-E. Meziani, K. McCormick, R. Michaels, D. J. Millener, T. Miyoshi, B. Moffit, Peter Monaghan, M. Moteabbed, C. Muñoz Camacho, S. Nanda, E. Nappi, V. Nelyubin, B. Norum, Y. Okasyasu, K. Paschke, C. F. Perdrisat, E. Piasetzky, Vina Punjabi, Y. Qiang, P. E. Reimer, J. Reinhold, B. Reitz, R. Roché, V. M. Rodriguez, A. Saha, F. Santavenere, A. Sarty, J. Segal, A. Shahinyan, Jaideep Singh, S. Širca, R. Snyder, Patricia Solvignon, M. Sotona, R. Subedi, V. Sulkosky, Toshinori Suzuki, Hiroaki Ueno, P. E. Ulmer, P. Veneroni, E. Voutier, B. Wojtsekhowski, Xiaochao Zheng, C. Zorn

Bibliographic record

VenuePhysical Review C · 2015
Typearticle
Languagelv
FieldEngineering
TopicSuperconducting Materials and Applications
Canadian institutionsSaint Mary's UniversitySt. Mary's University
FundersInstitut National de Physique Nucléaire et de Physique des ParticulesThomas Jefferson National Accelerator FacilityIstituto Nazionale di Fisica NucleareCentre National de la Recherche ScientifiqueTechnologická Agentura České RepublikyGrantová Agentura České RepublikyU.S. Department of Energy
KeywordsPhysicsLambdaNuclear physicsNucleonHyperonParticle physicsOptics

Abstract

fetched live from OpenAlex

Background: In the absence of accurate data on the free two-body hyperon-nucleon interaction, the spectra of hypernuclei provides information on the details of the effective hyperon-nucleon interaction.Purpose: To obtain a high-resolution binding-energy spectrum for the ${}^{9}\mathrm{Be}(e,{e}^{\ensuremath{'}}{K}^{+})_{\ensuremath{\Lambda}}^{9}\mathrm{Li}$ reaction.Method: Electroproduction of the hypernucleus $_{\ensuremath{\Lambda}}^{9}\mathrm{Li}$ has been studied for the first time with sub-MeV energy resolution in Hall A at Jefferson Lab on a $^{9}\mathrm{Be}$ target. In order to increase the counting rate and to provide unambiguous kaon identification, two superconducting septum magnets and a ring imaging Cherenkov detector were added to the Hall A standard equipment.Results: The cross section to low-lying states of $_{\ensuremath{\Lambda}}^{9}\mathrm{Li}$ is concentrated within 3 MeV of the ground state and can be fit with four peaks. The positions of the doublets agree with theory while a disagreement could exist with respect to the relative strengths of the peaks in the doublets. The $\ensuremath{\Lambda}$ separation energy, ${B}_{\ensuremath{\Lambda}}$, of $8.36\ifmmode\pm\else\textpm\fi{}0.08$ (stat.) $\ifmmode\pm\else\textpm\fi{}0.08$ (syst.) MeV was measured, in agreement with an earlier experiment.

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)0.000
metaresearch head score (Gemma)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0250.003

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 head0.026
GPT teacher head0.259
Teacher spread0.233 · 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".

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Citations26
Published2015
Admission routes1
Has abstractyes

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Same venuePhysical Review CSame topicSuperconducting Materials and ApplicationsFrench-language works237,207