Chinese Optics Letters, 2020, 18 (12): 121901, Published Online: Oct. 23, 2020   

Neural-network-assisted femtosecond laser pulse duration measurement using two-photon absorption Download: 732次

Author Affiliations
1 Department of Information Technology, Nanjing Forest Police College, Nanjing 210023, China
2 School of Physics and Technology, Nanjing Normal University, Nanjing 210023, China
Abstract
In this work, a neural network (NN) method is developed for pulse duration inferring for an erbium-doped fiber laser at 1550 nm. Experimentally, the interferometric autocorrelation trace is observed clearly with the use of the two-photon absorption (TPA) effect in a GaAs photodiode. The intensity autocorrelation function is curve-fitted by the NN with an appropriate performance, and the measuring accuracy is consistent with a commercial autocorrelator. Compared with the Levenberg–Marquardt curve-fitting method, the NN can retrieve the intensity autocorrelation function more stably and has a certain noise reduction ability, simplifying the signal processing for a TPA photodiode-based autocorrelator.

Junbao Chen, Ming Wang, Wei Xia. Neural-network-assisted femtosecond laser pulse duration measurement using two-photon absorption[J]. Chinese Optics Letters, 2020, 18(12): 121901.

本文已被 3 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!