Search for relativistic fractionally charged particles in space
文献类型:期刊论文
作者 | DAMPE |
刊名 | Physical Review D
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出版日期 | 2022 |
卷号 | 106期号:6页码:063026 |
关键词 | Astrophysics - High Energy Astrophysical Phenomena High Energy Physics - Experiment High Energy Physics - Phenomenology Physics - Space Physics |
ISSN号 | 2470-0010 |
DOI | 10.1103/PhysRevD.106.063026 |
文献子类 | Article |
英文摘要 | More than a century after the performance of the oil drop experiment, the possible existence of fractionally charged particles (FCPs) still remains unsettled. The search for FCPs is crucial for some extensions of the Standard Model in particle physics. Most of the previously conducted searches for FCPs in cosmic rays were based on experiments underground or at high altitudes. However, there have been few searches for FCPs in cosmic rays carried out in orbit other than AMS-01 flown by a space shuttle and BESS by a balloon at the top of the atmosphere. In this study, we conduct an FCP search in space based on on-orbit data obtained using the Dark Matter Particle Explorer (DAMPE) satellite over a period of five years. Unlike underground experiments, which require an FCP energy of the order of hundreds of GeV, our FCP search starts at only a few GeV. An upper limit of 6.2 ×10-10 cm-2 sr-1 s-1 is obtained for the flux. Our results demonstrate that DAMPE exhibits higher sensitivity than experiments of similar types by three orders of magnitude that more stringently restricts the conditions for the existence of FCP in primary cosmic rays. |
电子版国际标准刊号 | 2470-0029 |
语种 | 英语 |
源URL | [http://ir.ihep.ac.cn/handle/311005/298956] ![]() |
专题 | 高能物理研究所_粒子天体物理中心 |
作者单位 | 中国科学院高能物理研究所 |
推荐引用方式 GB/T 7714 | DAMPE. Search for relativistic fractionally charged particles in space[J]. Physical Review D,2022,106(6):063026. |
APA | DAMPE.(2022).Search for relativistic fractionally charged particles in space.Physical Review D,106(6),063026. |
MLA | DAMPE."Search for relativistic fractionally charged particles in space".Physical Review D 106.6(2022):063026. |
入库方式: OAI收割
来源:高能物理研究所
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