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Record W2778034090 · doi:10.1103/physrevc.97.065204

Search for three-nucleon short-range correlations in light nuclei

2018· article· en· W2778034090 on OpenAlexaff
Z. Ye, P. Solvignon, D. Nguyen, P. Aguilera, Z. Ahmed, H. Al-Bataineh, K. Allada, B. D. Anderson, D. Anez, K. Aniol, J. R. M. Annand, J. Arrington, T. Averett, H. Baghdasaryan, Xiaohong Bai, A. Beck, S. Mey-Tal Beck, Vincenzo Bellini, F. Benmokhtar, A. Camsonne, C. Chen, J.-P. Chen, K. Chirapatpimol, E. Cisbani, M. M. Dalton, A. V. Daniel, Donal B. Day, W. Deconinck, M. Defurne, D. Flay, N. Fomin, M. Friend, S. Frullani, E. Fuchey, F. Garibaldi, D. Gaskell, S. Gilad, R. Gilman, A. Glamazdin, C. Gu, P. Guèye, C. Hanretty, O. Hansen, M. Shabestari, D. W. Higinbotham, M. Huang, S. Iqbal, G. Jin, N. Kalantarians, H. Kang, A. Kelleher, I. Korover, J. J. LeRose, J. Leckey, R. Lindgren, E. Long, J. Mammei, D. J. Margaziotis, P. Markowitz, D. Meekins, Z.-E. Meziani, R. Michaels, M. Mihovilovič, N. Muangma, C. Muñoz Camacho, B. Norum, Nuruzzaman Nuruzzaman, Kai Pan, S. K. Phillips, E. Piasetzky, Ishay Pomerantz, M. Posik, V. Punjabi, X. Qian, X. Qiu, P. E. Reimer, A. Rakhman, S. Riordan, G. Ron, A. Saha, L. Selvy, A. Shahinyan, R. Shneor, S. Sirca, K. Slifer, N Sparveris, R. Subedi, V. Sulkosky, D. Wang, J. W. Watson, L. B. Weinstein, B. Wojtsekhowski, S. A. Wood, I. Yaron, X. Zhan, J. Zhang, Y. W. Zhang, B. Zhao, Xiaowei Zheng, Peng Zhu, R. Zielinski

Bibliographic record

VenuePhysical review. C · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNuclear physics research studies
Canadian institutionsSaint Mary's University
FundersNuclear PhysicsU.S. Department of EnergyThomas Jefferson National Accelerator FacilityScience and Technology Facilities CouncilOffice of ScienceNational Science Foundation
KeywordsNucleonDominance (genetics)PhysicsRange (aeronautics)Momentum (technical analysis)Nuclear physicsScatteringAtomic physicsParticle physicsChemistryOpticsMaterials science

Abstract

fetched live from OpenAlex

We present new data probing short-range correlations (SRCs) in nuclei through the measurement of electron scattering off high-momentum nucleons in nuclei. The inclusive $^{4}\mathrm{He}/^{3}\mathrm{He}$ cross section ratio is observed to be both $x$ and ${Q}^{2}$ independent for $1.5<x<2$, confirming the dominance of two-nucleon short-range correlations. For $x>2$, our data support the hypothesis that a previous claim of three-nucleon correlation dominance was an artifact caused by the limited resolution of the measurement. While 3N-SRCs appear to have an important contribution, our data show that isolating 3N-SRCs is significantly more complicated than for 2N-SRCs.

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 categoriesnone
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 score0.476
Threshold uncertainty score0.980

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)0.0000.001

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 head0.049
GPT teacher head0.394
Teacher spread0.344 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations20
Published2018
Admission routes1
Has abstractyes

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