Neural-network-assisted femtosecond laser pulse duration measurement using two-photon absorption

• 来源期刊: 中国光学快报（英文版）
• 年，卷（期）: 2020,（12）
• 所属期刊栏目: Nonlinear Optics
• 页码范围: 59-62
• 页数: 4页
• 语种: 英文
• DOI: 10.3788/COL202018.121901

摘要

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 inten-sity autocorrelation function more stably and has a certain noise reduction ability,simplifying the signal process-ing for a TPA photodiode-based autocorrelator.