LEPS2/BGOegg实验中介子光产生的重子共振研究

IF 1.7 4区物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Few-Body Systems Pub Date : 2023-07-06 DOI:10.1007/s00601-023-01844-7

Toshikazu Hashimoto, LEPS2/BGOegg Collaboration

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引用次数: 0

摘要

在LEPS2/BGOegg实验测量的\(1.82< W < 2.32\)质心能量中，给出了\(\eta \)介子产光反应的微分截面和光子束不对称性。在\(\cos {\theta ^{\eta }_{\mathrm {c.m.}}} < -0.6\)处的微分截面显示在\(W \sim \) 2.2 GeV处有一个凸起结构，表明重子共振的出现隐藏了\(s\bar{s}\)。首次测量了\(W>\) 2.1 GeV处的光子束不对称性。

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Baryon Resonance Studies Via Meson Photoproduction in the LEPS2/BGOegg Experiment

We present differential cross sections and photon beam asymmetries of photoproduction reactions of \(\eta \) mesons in the center-of-mass energy of \(1.82< W < 2.32\) measured in LEPS2/BGOegg experiment. The differential cross section at \(\cos {\theta ^{\eta }_{\mathrm {c.m.}}} < -0.6\) shows a bump structure at \(W \sim \) 2.2 GeV, suggesting the appearance of the baryon resonances with hidden \(s\bar{s}\). The photon beam asymmetries at \(W>\) 2.1 GeV were measured for the first time.

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来源期刊

Few-Body Systems 物理-物理：综合

CiteScore

2.90

自引率

18.80%

发文量

审稿时长

6-12 weeks

期刊介绍： The journal Few-Body Systems presents original research work – experimental, theoretical and computational – investigating the behavior of any classical or quantum system consisting of a small number of well-defined constituent structures. The focus is on the research methods, properties, and results characteristic of few-body systems. Examples of few-body systems range from few-quark states, light nuclear and hadronic systems; few-electron atomic systems and small molecules; and specific systems in condensed matter and surface physics (such as quantum dots and highly correlated trapped systems), up to and including large-scale celestial structures. Systems for which an equivalent one-body description is available or can be designed, and large systems for which specific many-body methods are needed are outside the scope of the journal. The journal is devoted to the publication of all aspects of few-body systems research and applications. While concentrating on few-body systems well-suited to rigorous solutions, the journal also encourages interdisciplinary contributions that foster common approaches and insights, introduce and benchmark the use of novel tools (e.g. machine learning) and develop relevant applications (e.g. few-body aspects in quantum technologies).