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Probing the Repulsive Core of the Nucleon-Nucleon Interaction via the<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mmultiscripts><mml:mrow><mml:mi>He</mml:mi></mml:mrow><mml:mprescripts/><mml:none/><mml:mrow><mml:mn>4</mml:mn></mml:mrow></mml:mmultiscripts><mml:mo stretchy="false">(</mml:mo><mml:mi>e</mml:mi><mml:mo>,</mml:mo><mml:msup><mml:mrow><mml:mi>e</mml:mi></mml:mrow><mml:mrow><mml:mo>′</mml:mo></mml:mrow></mml:msup><mml:mi>p</mml:mi><mml:mi>N</mml:mi><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:math>Triple-Coincidence Reaction

2014· article· lv· W2151246561 on OpenAlexaff
I. Korover, N. Muangma, O. Hen, R. Shneor, V. Sulkosky, A. Kelleher, S. Gilad, D. W. Higinbotham, Eli Piasetzky, J. Watson, S. A. Wood, P. Aguilera, Z. Ahmed, H. Al-Bataineh, K. Allada, B. D. Anderson, D. Anez, K. Aniol, J. R. M. Annand, W. Armstrong, J. Arrington, T. Averett, T. Badman, H. Baghdasaryan, Xiaohong Bai, A. Beck, S. Mey-Tal Beck, Vincenzo Bellini, F. Benmokhtar, W. Bertozzi, Jiřı́ Bittner, W. Boeglin, A. Camsonne, C. Chen, J.-P. Chen, K. Chirapatpimol, E. Cisbani, M. M. Dalton, A. V. Daniel, Donal B. Day, C. W. de Jager, R. De Leo, W. Deconinck, M. Defurne, D. Flay, N. Fomin, M. Friend, S. Frullani, E. Fuchey, F. Garibaldi, D. Gaskell, R. Gilman, O. Glamazdin, C. Gu, P. Guèye, D. Hamilton, C. Hanretty, O. Hansen, M. Shabestari, T. Holmstrom, M. Huang, S. Iqbal, G. Jin, N. Kalantarians, H. Kang, M. Khandaker, J. J. LeRose, J. Leckey, R. Lindgren, E. Long, J. Mammei, D. J. Margaziotis, P. Markowitz, A. Martí Jiménez-Argüello, D. Meekins, Z.-E. Meziani, R. Michaels, M. Mihovilovic, P. Monaghan, C. Muñoz Camacho, B. Norum, Nuruzzaman Nuruzzaman, Kai Pan, S. K. Phillips, Ishay Pomerantz, M. Posik, V. Punjabi, X. Qian, Y. Qiang, X. Qiu, A. Rakhman, P. E. Reimer, S. Riordan, G. Ron, A. Saha, Eva C. Schulte, L. Selvy, A. Shahinyan, S. Sirca, J. Sjoegren, K. Slifer, P. Solvignon, N. Sparveris, R. Subedi, W. Tireman, D. Wang, L. B. Weinstein, B. Wojtsekhowski, W. B. Yan, I. Yaron, Z. Ye, X. Zhan, J. Zhang, Ying Zhang, B. Zhao, Xiaowei Zheng, Ping Zhu, R. Zielinski

Bibliographic record

VenuePhysical Review Letters · 2014
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicQuantum Chromodynamics and Particle Interactions
Canadian institutionsSaint Mary's University
FundersScience and Technology Facilities CouncilIsrael Science FoundationU.S. Department of Energy
KeywordsNucleonCore (optical fiber)PhysicsParticle physics

Abstract

fetched live from OpenAlex

We studied simultaneously the $^{4}\mathrm{He}(e,{e}^{\ensuremath{'}}p)$, $^{4}\mathrm{He}(e,{e}^{\ensuremath{'}}pp)$, and $^{4}\mathrm{He}(e,{e}^{\ensuremath{'}}pn)$ reactions at ${Q}^{2}=2(\mathrm{GeV}/c{)}^{2}$ and ${x}_{B}>1$, for an $(e,{e}^{\ensuremath{'}}p)$ missing-momentum range of 400 to $830\text{ }\text{ }\mathrm{MeV}/c$. The knocked-out proton was detected in coincidence with a proton or neutron recoiling almost back to back to the missing momentum, leaving the residual $A=2$ system at low excitation energy. These data were used to identify two-nucleon short-range correlated pairs and to deduce their isospin structure as a function of missing momentum, in a region where the nucleon-nucleon ($NN$) force is expected to change from predominantly tensor to repulsive. The abundance of neutron-proton pairs is reduced as the nucleon momentum increases beyond $\ensuremath{\sim}500\text{ }\text{ }\mathrm{MeV}/c$. The extracted fraction of proton-proton pairs is small and almost independent of the missing momentum. Our data are compared with calculations of two-nucleon momentum distributions in $^{4}\mathrm{He}$ and discussed in the context of probing the elusive repulsive component of the $NN$ force.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.066
Threshold uncertainty score0.221

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0660.010

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 head0.020
GPT teacher head0.258
Teacher spread0.238 · 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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Citations134
Published2014
Admission routes1
Has abstractyes

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