Prediction for Incremental Damage on Optics from Final Optics Assembly in ICF High Power Laser Facility

• DOI: 10.20944/preprints202404.0908.v1
• Publication Date: 2024-04-18T10:55:13Z
• Authors: Xueyan Hu; Zhou Wei; Huaiwen Guo; Xiaoxia Huang; Bowang Zhao; Wei Zhong; Qihua Zhu; Zhifei Chen
• Keywords: Physical optics; Geometrical optics

High-power laser facilities necessitate predicting incremental damage to final optics identify evolving trends. In this study, we propose a surface detection method utilizing image segmentation employing ResNet-18, and area estimation network U-Net++. Paired sets of online offline images obtained from large facility is used train the network. The trends varying could be identified by incorporating additional experimental parameters. A key advantage proposed that can trained end-to-end on small samples, eliminating need for manual labeling or feature extraction. software developed based these models facilitate daily inspection maintenance in facilities.