Physics design of the CIADS 25 MeV demo facility
文献类型：期刊论文
| 作者 | Jia, H; Liu, SH; Wang, ZJ ; Yan F(闫芳); Yan, F; Chen, WL; Qin, YS; Dou, WP; He, Y
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| 刊名 | NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT
 |
| 出版日期 | 2017 |
| 卷号 | 843页码:11-17 |
| 关键词 | CIADS Beam dynamics Beam matching Frequency jump Error analysis |
| ISSN号 | 0168-9002 |
| DOI | 10.1016/j.nima.2016.10.055 |
| 文献子类 | Article |
| 英文摘要 | A superconducting linac has been proposed and under constructed to demonstrate the key technology and the feasibility for CIADS(China Initiative Accelerator Driven System)linac. This linac will accelerate the 10 mA proton beam to 25 MeV. There are some challenges in the physics design for the high power superconducting accelerator. In this paper, we focus on the matching between different cryomodules (CMs) and the frequency jump. This paper presents the physics design study together with the design principles and the simulation results with machine errors. |
| 电子版国际标准刊号 | 1872-9576 |
| WOS关键词 | BEAMS |
| WOS研究方向 | Instruments & Instrumentation ; Nuclear Science & Technology ; Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:000390077300003 |
| 源URL | [http://ir.ihep.ac.cn/handle/311005/284874]  |
| 专题 | 高能物理研究所_实验物理中心 高能物理研究所_加速器中心 |
| 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 | Jia, H,Liu, SH,Wang, ZJ,et al. Physics design of the CIADS 25 MeV demo facility[J]. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT,2017,843:11-17. |
| APA | Jia, H.,Liu, SH.,Wang, ZJ.,闫芳.,Yan, F.,...&He, Y.(2017).Physics design of the CIADS 25 MeV demo facility.NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT,843,11-17. |
| MLA | Jia, H,et al."Physics design of the CIADS 25 MeV demo facility".NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT 843(2017):11-17. |
入库方式： OAI收割
来源：高能物理研究所
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