Yifu Chen, Bowen Tan, Duo Jin, Bin Chen, Zhenxu Bai, Kun Wang, Yulei Wang, Zhiwei Lü
{"title":"Characteristics and Suppression of Beam Distortion in a High Repetition Rate Nanosecond SBS-PCM","authors":"Yifu Chen, Bowen Tan, Duo Jin, Bin Chen, Zhenxu Bai, Kun Wang, Yulei Wang, Zhiwei Lü","doi":"10.1017/hpl.2024.4","DOIUrl":"https://doi.org/10.1017/hpl.2024.4","url":null,"abstract":"","PeriodicalId":505615,"journal":{"name":"High Power Laser Science and Engineering","volume":"13 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139805868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yifu Chen, Bowen Tan, Duo Jin, Bin Chen, Zhenxu Bai, Kun Wang, Yulei Wang, Zhiwei Lü
{"title":"Characteristics and Suppression of Beam Distortion in a High Repetition Rate Nanosecond SBS-PCM","authors":"Yifu Chen, Bowen Tan, Duo Jin, Bin Chen, Zhenxu Bai, Kun Wang, Yulei Wang, Zhiwei Lü","doi":"10.1017/hpl.2024.4","DOIUrl":"https://doi.org/10.1017/hpl.2024.4","url":null,"abstract":"","PeriodicalId":505615,"journal":{"name":"High Power Laser Science and Engineering","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139865892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Prospect of ultrahigh-resolution fast neutron absorption spectroscopy based on laser plasma electron accelerator","authors":"Wen-Zhao Wang, Jie Feng, Xiao-Peng Zhang, Yao-Jun Li, Wei-Jun Zhou, Wen-Chao Yan, Guo-Qiang Zhang, Chang-Bo Fu, Li-Ming Chen","doi":"10.1017/hpl.2023.92","DOIUrl":"https://doi.org/10.1017/hpl.2023.92","url":null,"abstract":"","PeriodicalId":505615,"journal":{"name":"High Power Laser Science and Engineering","volume":"35 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139201016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Hornung, Y. Zobus, H. Lorenté, C. Brabetz, B. Zielbauer, V. Bagnoud
{"title":"Synchronized Off-Harmonic Probe Laser with Highly Variable Pulse Duration for Laser-Plasma Interaction Experiments","authors":"J. Hornung, Y. Zobus, H. Lorenté, C. Brabetz, B. Zielbauer, V. Bagnoud","doi":"10.1017/hpl.2023.93","DOIUrl":"https://doi.org/10.1017/hpl.2023.93","url":null,"abstract":"","PeriodicalId":505615,"journal":{"name":"High Power Laser Science and Engineering","volume":"45 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139214802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rui Ma, Ke Hai Luo, J. He, Wei Li Zhang, Dian Yuan Fan, Anderson S. L. Gomes, Jun Liu
{"title":"Digital generation of super-Gaussian perfect vortex beams via wavefront shaping with globally adaptive feedback","authors":"Rui Ma, Ke Hai Luo, J. He, Wei Li Zhang, Dian Yuan Fan, Anderson S. L. Gomes, Jun Liu","doi":"10.1017/hpl.2023.91","DOIUrl":"https://doi.org/10.1017/hpl.2023.91","url":null,"abstract":"","PeriodicalId":505615,"journal":{"name":"High Power Laser Science and Engineering","volume":"45 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139214574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yueyue Han, Yingyan Huang, Hangcheng Dong, Fengdong Chen, Fa Zeng, Zhitao Peng, Qihua Zhu, Guodong Liu
Segmenting dark-field images of laser-induced damage on large-aperture optics in high-power laser facilities is challenged by complicated damage morphology, uneven illumination and stray light interference. Fully-supervised semantic segmentation algorithms have achieved state-of-the-art performance but rely on a large number of pixel-level labels, which are time-consuming and labor-consuming to produce. LayerCAM, an advanced weakly-supervised semantic segmentation algorithm, can generate pixel-accurate results using only image-level labels, but its scattered and partially underactivated class activation regions degrade segmentation performance. In this paper, we propose a weakly-supervised semantic segmentation method with continuous gradient CAM and its nonlinear multiscale fusion (CG-Fusion CAM). The method redesigns backpropagating gradients and nonlinearly activates multiscale fused heatmaps to generate more fine-grained class activation maps with an appropriate activation degree for di ff erent damage site sizes. Experiments on our dataset show that the proposed method can achieve segmentation performance comparable to that of fully-supervised algorithms.
{"title":"CG-Fusion CAM: Segmentation of laser-induced damage on large-aperture optics in dark-field images","authors":"Yueyue Han, Yingyan Huang, Hangcheng Dong, Fengdong Chen, Fa Zeng, Zhitao Peng, Qihua Zhu, Guodong Liu","doi":"10.1017/hpl.2023.85","DOIUrl":"https://doi.org/10.1017/hpl.2023.85","url":null,"abstract":"Segmenting dark-field images of laser-induced damage on large-aperture optics in high-power laser facilities is challenged by complicated damage morphology, uneven illumination and stray light interference. Fully-supervised semantic segmentation algorithms have achieved state-of-the-art performance but rely on a large number of pixel-level labels, which are time-consuming and labor-consuming to produce. LayerCAM, an advanced weakly-supervised semantic segmentation algorithm, can generate pixel-accurate results using only image-level labels, but its scattered and partially underactivated class activation regions degrade segmentation performance. In this paper, we propose a weakly-supervised semantic segmentation method with continuous gradient CAM and its nonlinear multiscale fusion (CG-Fusion CAM). The method redesigns backpropagating gradients and nonlinearly activates multiscale fused heatmaps to generate more fine-grained class activation maps with an appropriate activation degree for di ff erent damage site sizes. Experiments on our dataset show that the proposed method can achieve segmentation performance comparable to that of fully-supervised algorithms.","PeriodicalId":505615,"journal":{"name":"High Power Laser Science and Engineering","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139258132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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