Efficiency of pump absorption in gain-guided and index-antiguided (GG-IAG) fiber
文献类型：期刊论文
| 作者 | Yan, Kun-Lun1,2; Zhou, En-Yu3; Wei, Wei1,3; Peng, Bo1,3
|
| 刊名 | journal of modern optics
 |
| 出版日期 | 2010 |
| 卷号 | 57期号:6页码:480-484 |
| 关键词 | gain-guided index-antiguided (GG-IAG) fiber 3D ray-trace absorption characteristics |
| 英文摘要 | in this paper, the absorption characteristics of a novel double-clad gain-guided and index-antiguided (gg-iag) fiber are investigated with 3d ray-trace method. additionally, the simulated correctness compared with real data was carried out by measuring the gg-iag fiber. analysis and experimental results show that the absorption characteristics of gg-iag fibers are different from conventional fibers: the total absorption efficiency of a gg-iag fiber is large, while the effective absorption length is very short, and the negative refractive index step has significant influence on the total absorption efficiency. |
| WOS标题词 | science & technology ; physical sciences |
| 类目[WOS] | optics |
| 研究领域[WOS] | optics |
| 关键词[WOS] | double-clad fibers |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000277085100007 |
| 公开日期 | 2015-09-15 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/25270]  |
| 专题 | 西安光学精密机械研究所_先进光电与生物材料研发中心 |
| 作者单位 | 1.CAS, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian 710119, Peoples R China 2.Chinese Acad Sci, Grad Coll, Beijing 100049, Peoples R China 3.Fudan Univ, Dept Opt Sci & Engn, Shanghai 200433, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yan, Kun-Lun,Zhou, En-Yu,Wei, Wei,et al. Efficiency of pump absorption in gain-guided and index-antiguided (GG-IAG) fiber[J]. journal of modern optics,2010,57(6):480-484. |
| APA | Yan, Kun-Lun,Zhou, En-Yu,Wei, Wei,&Peng, Bo.(2010).Efficiency of pump absorption in gain-guided and index-antiguided (GG-IAG) fiber.journal of modern optics,57(6),480-484. |
| MLA | Yan, Kun-Lun,et al."Efficiency of pump absorption in gain-guided and index-antiguided (GG-IAG) fiber".journal of modern optics 57.6(2010):480-484. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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