Nucleon Resonances in the pi(-)p -> K-0 Lambda Reaction near Threshold
文献类型：期刊论文
| 作者 | Wu, CZ; Lu, QF; Xie, JJ; Chen, XR |
| 刊名 | COMMUNICATIONS IN THEORETICAL PHYSICS
 |
| 出版日期 | 2015 |
| 卷号 | 63期号:2页码:215-221 |
| 关键词 | nucleon resonances Lagrangian approach |
| 通讯作者 | Wu, CZ (reprint author), Dalian Univ Technol, Dept Phys, Dalian 116024, Peoples R China. |
| 英文摘要 | We investigate the two-body reaction pi(-)p -> K-0 Lambda within the effective Lagrangian approach and the isobar model. In addition to the "background" contributions from t-channel K* exchange, u-channel Sigma(1192) and Sigma*(1385) exchanges, and s-channel nucleon pole terms, the contributions from the nucleon resonances N* (1535), N* (1650), and N* (1720) are investigated. It is shown that the inclusion of these nucleon resonances contributions leads to a good description of the experimental total and differential cross sections data at low energy region. The s-channel N* (1535), N* (1650), and N* (1720) resonances and the t-channel K* exchange give the dominant contributions below W = 1.76 GeV, while the s-channel nucleon pole, u-channel Sigma(1192) and Sigma*(1385) exchanges give the minor contributions. |
| 学科主题 | Physics |
| 类目[WOS] | Physics, Multidisciplinary |
| 关键词[WOS] | HEAVY-ION COLLISIONS ; QUARK-MODEL ; PI-N ; BARYON RESONANCES ; PHOTON ENERGIES ; KAON PRODUCTION ; MEV-C ; LAMBDA ; DEPENDENCE ; AMPLITUDES |
| 收录类别 | SCI |
| 语种 | 英语 |
| 源URL | [http://ir.itp.ac.cn/handle/311006/21100]  |
| 专题 | 理论物理研究所_理论物理所1978-2010年知识产出 |
| 推荐引用方式 GB/T 7714 | Wu, CZ,Lu, QF,Xie, JJ,et al. Nucleon Resonances in the pi(-)p -> K-0 Lambda Reaction near Threshold[J]. COMMUNICATIONS IN THEORETICAL PHYSICS,2015,63(2):215-221. |
| APA | Wu, CZ,Lu, QF,Xie, JJ,&Chen, XR.(2015).Nucleon Resonances in the pi(-)p -> K-0 Lambda Reaction near Threshold.COMMUNICATIONS IN THEORETICAL PHYSICS,63(2),215-221. |
| MLA | Wu, CZ,et al."Nucleon Resonances in the pi(-)p -> K-0 Lambda Reaction near Threshold".COMMUNICATIONS IN THEORETICAL PHYSICS 63.2(2015):215-221. |
入库方式： OAI收割
来源：理论物理研究所
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