{"title":"基于高能效的MRAF波束整形算法改进","authors":"Hui Yu, Jia-Mi Li, Dawei Li, Qiong Zhou, Fengnian Lv, Xingqiang Lu","doi":"10.1117/12.2643562","DOIUrl":null,"url":null,"abstract":"To meet the specific needs or improve the system’s energy efficiency, it is necessary to integrate the beam into a specific intensity distribution beam. This paper establishes a set of rules based on the mixed-region amplitude freedom (MRAF) algorithm, and a beam shaping algorithm is proposed to calculate the intensity distribution by setting the energy efficiency. Simulation results show that compared with the traditional Gerchberg–Saxton (GS) algorithm, the convergence effect improved by one to two orders of magnitude after abandoning controlling a small part of the energy; compared with the MRAF algorithm, the energy efficiency converged to the preset target value, in addition, the energy efficiency is higher under the same convergence intensity. This algorithm provides a new path for shaping in femtosecond laser processing technology.","PeriodicalId":184319,"journal":{"name":"Optical Frontiers","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Improvement of MRAF algorithm based on high energy efficiency for beam shaping\",\"authors\":\"Hui Yu, Jia-Mi Li, Dawei Li, Qiong Zhou, Fengnian Lv, Xingqiang Lu\",\"doi\":\"10.1117/12.2643562\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To meet the specific needs or improve the system’s energy efficiency, it is necessary to integrate the beam into a specific intensity distribution beam. This paper establishes a set of rules based on the mixed-region amplitude freedom (MRAF) algorithm, and a beam shaping algorithm is proposed to calculate the intensity distribution by setting the energy efficiency. Simulation results show that compared with the traditional Gerchberg–Saxton (GS) algorithm, the convergence effect improved by one to two orders of magnitude after abandoning controlling a small part of the energy; compared with the MRAF algorithm, the energy efficiency converged to the preset target value, in addition, the energy efficiency is higher under the same convergence intensity. This algorithm provides a new path for shaping in femtosecond laser processing technology.\",\"PeriodicalId\":184319,\"journal\":{\"name\":\"Optical Frontiers\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Optical Frontiers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.2643562\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optical Frontiers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2643562","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improvement of MRAF algorithm based on high energy efficiency for beam shaping
To meet the specific needs or improve the system’s energy efficiency, it is necessary to integrate the beam into a specific intensity distribution beam. This paper establishes a set of rules based on the mixed-region amplitude freedom (MRAF) algorithm, and a beam shaping algorithm is proposed to calculate the intensity distribution by setting the energy efficiency. Simulation results show that compared with the traditional Gerchberg–Saxton (GS) algorithm, the convergence effect improved by one to two orders of magnitude after abandoning controlling a small part of the energy; compared with the MRAF algorithm, the energy efficiency converged to the preset target value, in addition, the energy efficiency is higher under the same convergence intensity. This algorithm provides a new path for shaping in femtosecond laser processing technology.