A Deep Ultraviolet Mode-locked Laser Based on a Neural Network

Abstract

Deep ultraviolet lasers based on the phenomenon of mode-locking have been used widely in many areas in recent years, for example, in semiconductors, the environment and biomedicine. in the development of a mode-locked deep ultraviolet laser, one of the most important aspects is to optimize the multiple parameters of the complex system. traditional optimization methods require experimenters with more optimization experience, which limits the wide application of the lasers. in this study, we optimize the deep ultraviolet mode-locked laser system using an online neural network to solve this problem. the neural network helps us control the position of the crystal, the length of the cavity, the position of the focusing lens and the temperature of the frequency doubling crystal. We generate a deep ultraviolet mode-locked laser with a power of 18 mW and a spectral center at 205 nm. This result is greatly improved compared to previous results with the same pump power. this technology provides a universal solution to multiparameter problems in the optimization of lasers.

Stable High Power deep-UV Enhancement Cavity in Ultra High Vacuum with Fluoride Coatings

“…Continual innovation of deep-ultraviolet (deep-UV) laser technology is beneficial for precision scientific measurement, materials processing, biomedicine, and many other industrial and medicinal applications [1,2,3]. Understanding the performance of optics at high average deep-UV powers is of growing importance.…”

Recent development in artificial neural network based distributed fiber optic sensors

“…The applications include in the field of healthcare [6], robotics [7], aerospace [8], audio signal processing [9] and fiber optics [10]. In the field of fiber optics, ANN was used for optical communication systems [11], mode-locked lasers [12], nonlinear fiber optics [13] and fiber optic sensors [14]. Until now the implementation of ANN in distributed fiber sensor systems has been a relatively recent development.…”

Automated Data Acquisition System Using a Neural Network for Prediction Response in a Mode-Locked Fiber Laser

“…Besides, the evolutionary algorithm (EA) is mentioned in [26], where the authors employing this application for control over the high-harmonic spectrum and to shape the laser pulse. Recently in [27], a deep neural network (DNNs) for control and the optimization of the multiple parameters of a deep ultraviolet mode-locked laser is used. In the other hand, in [28], a DNN used as a feature extractor for wide-angle diffraction images of helium nanodroplets is presented; here, the authors use intense short-wavelength pulses generating enable diffractive imaging of individual nanosized objects.…”