基于策略改进遗传算法的双星星族光谱拟合  

Binary-Star Spectral Fitting Based on StrategyImproved Genetic Algorithm

作　　者：迟焕斌 李忠木 王锋 Chi Huanbin;Li Zhongmu;Wang Feng(School of Management and Economics,Kunming University of Science and Technology,Kunming 650500,China;Institute of Astronomy,Dali University,Dali 671000,China;Center for Astrophysics,Guangzhou University,Guangzhou 510006,China)

机构地区：[1]昆明理工大学管理与经济学院,云南昆明650093 [2]大理大学天文研究所,云南大理671000 [3]广州大学天体物理中心,广东广州510006

出　　处：《天文研究与技术》2021年第1期122-128,共7页Astronomical Research & Technology

基　　金：国家重点研发计划(2018YFA0404603);国家自然科学天文联合基金(U1831204,U1931141);国家自然科学基金(1196114001,11903009,11863002);云南省重点研发计划(2018IA054);云南省汪景琇院士工作站资助.

摘　　要：双星星族光谱拟合的实质是在双星星族理论光谱库对应的参数空间进行搜索,通过最小二乘法找到与被拟合观测光谱最相近的理论光谱。快速、准确的拟合是有效利用星族合成方法处理海量星系光谱的难点和关键。为了提高双星星族光谱拟合的速度,针对双星星族光谱拟合计算量巨大、拟合效率不高等问题,在双星星族光谱拟合的优化模型基础上,采用策略改进的遗传算法对模型进行求解,并与双星拟合(Binary Star to Fit,BS2fit)算法和传统遗传算法进行比较。实验表明,通过策略改进的遗传算法对双星星族光谱拟合的速度平均可提高43.5%,一定程度上推动了演化星族合成方法在天文研究中的应用。The essence of the binary-star spectral fitting is to search the parameter space corresponding to the comparison of observed and theoretical spectra,via techniques such as least square.Rapid and accurate fitting of spectra is very important for studying a huge number of galaxies.As a result of the complexities in extensive calculation for spectral fitting and its limited efficiency,the strategic improved genetic algorithm is used for binary-star spectral fitting by this paper,and the comparison to BS2fit algorithm and traditional genetic algorithm is also shown.The experimental results show that the improved genetic algorithm can increase the spectral fitting speed by 43.5%on average,which can possibly promote the application of stellar population synthesis method in astronomical researches obviously.

关 键 词：光谱拟合 星系 改进遗传算法 

分 类 号：P1-092[天文地球—天文学] TP391[自动化与计算机技术—计算机应用技术]