BRIGHT: the three-dimensional X-ray crystal Bragg diffraction code
文献类型：期刊论文
| 作者 | Huang, NS; Li, K; Deng, HX |
| 刊名 | NUCLEAR SCIENCE AND TECHNIQUES
 |
| 出版日期 | 2019 |
| 卷号 | 30期号:3页码:— |
| 关键词 | FREE-ELECTRON-LASER 1ST OPERATION OPTICS |
| ISSN号 | 1001-8042 |
| DOI | 10.1007/s41365-019-0559-5 |
| 文献子类 | 期刊论文 |
| 英文摘要 | In pursuit of a fully coherent X-ray free-electron laser (FEL), highly reflective Bragg crystals are used and will be used as a highly selective spectral filter in hard X-ray self-seeding FELs and X-ray FEL oscillators (XFELO), respectively. However, currently, when simulating self-seeding and XFELO, the three-dimensional effect of Bragg diffraction is not fully considered. In this paper, we derive a comprehensive solution for the response function of the crystal in Bragg diffraction. A three-dimensional X-ray crystal Bragg diffraction code, named BRIGHT, is introduced, which can be combined with other FEL-related codes, e.g., GENESIS and OPC. Performance and feasibility are assessed using two numerical examples, namely a self-seeding experiment for the linac coherent light source and XFELO options for Shanghai high repetition rate XFEL. The results indicate that BRIGHT provides a new and useful tool for three-dimensional modeling of FEL. |
| 语种 | 英语 |
| 源URL | [http://ir.sinap.ac.cn/handle/331007/31495]  |
| 专题 | 上海应用物理研究所_中科院上海应用物理研究所2011-2017年 |
| 作者单位 | 1.Chinese Acad Sci, Shanghai Inst Appl Phys, Shanghai 201800, Peoples R China; 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 3.Univ Chicago, Dept Phys, Chicago, IL 60637 USA |
| 推荐引用方式 GB/T 7714 | Huang, NS,Li, K,Deng, HX. BRIGHT: the three-dimensional X-ray crystal Bragg diffraction code[J]. NUCLEAR SCIENCE AND TECHNIQUES,2019,30(3):—. |
| APA | Huang, NS,Li, K,&Deng, HX.(2019).BRIGHT: the three-dimensional X-ray crystal Bragg diffraction code.NUCLEAR SCIENCE AND TECHNIQUES,30(3),—. |
| MLA | Huang, NS,et al."BRIGHT: the three-dimensional X-ray crystal Bragg diffraction code".NUCLEAR SCIENCE AND TECHNIQUES 30.3(2019):—. |
入库方式： OAI收割
来源：上海应用物理研究所
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