Narrowband optical parametric amplifier for efficient conversion of high-energy pulse with high beam quality
文献类型：期刊论文
| 作者 | Li, Huanhuan; Zhu, Xiaolei; Ma, Xiuhuan; Li, Shiguang; Huang, Chongde; Zhang, Junxuan; Chen, Weibiao |
| 刊名 | chin. opt. lett.
 |
| 出版日期 | 2014 |
| 卷号 | 12期号:9页码:91401 |
| 关键词 | GENERATION LASER |
| 通讯作者 | zhu, xl (reprint author), chinese acad sci, shanghai inst opt & fine mech, key lab space laser commun & detect technol, shanghai 201800, peoples r china. |
| 英文摘要 | in a two-stage optical parametric amplifier based on ktioao(4) crystals, we apply beam-overlapping technique to nanosecond signal pulse amplification, which results in high conversion efficiency and good beam quality. a signal pulse energy of 66 mj at 1.572 mu m wavelength is generated with 220 mj of pump pulse input. a maximum gain of 66 and a maximum pump depletion of as high as 44% are determined. the spectral linewidth of the amplified signal pulse is around 50 mhz, and the beam quality factor of m-2 is less than 2.3. |
| 收录类别 | SCI |
| 语种 | 英语 |
| 版本 | 出版稿 |
| 源URL | [http://ir.siom.ac.cn/handle/181231/13052]  |
| 专题 | 上海光学精密机械研究所_空间激光信息技术研究中心 |
| 作者单位 | 1.[Li, Huanhuan 2.Zhu, Xiaolei 3.Ma, Xiuhuan 4.Li, Shiguang 5.Huang, Chongde 6.Zhang, Junxuan 7.Chen, Weibiao] Chinese Acad Sci, Shanghai Inst Opt & Fine Mech, Key Lab Space Laser Commun & Detect Technol, Shanghai 201800, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Huanhuan,Zhu, Xiaolei,Ma, Xiuhuan,et al. Narrowband optical parametric amplifier for efficient conversion of high-energy pulse with high beam quality[J]. chin. opt. lett.,2014,12(9):91401. |
| APA | Li, Huanhuan.,Zhu, Xiaolei.,Ma, Xiuhuan.,Li, Shiguang.,Huang, Chongde.,...&Chen, Weibiao.(2014).Narrowband optical parametric amplifier for efficient conversion of high-energy pulse with high beam quality.chin. opt. lett.,12(9),91401. |
| MLA | Li, Huanhuan,et al."Narrowband optical parametric amplifier for efficient conversion of high-energy pulse with high beam quality".chin. opt. lett. 12.9(2014):91401. |
入库方式： OAI收割
来源：上海光学精密机械研究所
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