基于遗传算法的星族合成参数估计  

Parameter Estimation of Stellar Population Synthesis Using Genetic Algorithm

作　　者：韩金姝[1] 

机构地区：[1]德州学院计算机系,德州253023

出　　处：《天文学报》2015年第2期93-101,共9页Acta Astronomica Sinica

基　　金：山东省自然科学基金项目(ZR2012AM008);国家自然科学基金项目(11203006;11303003)资助

摘　　要：对于星系这类恒星复合天体,快速、准确地估计星族合成参数,是利用星族合成方法有效处理海量星系光谱的关键.将遗传算法与模拟退火算法相结合,在模拟退火算法的基础上,发挥遗传算法全局搜索能力强、收敛速度快的优势,两种算法互补.实验结果表明,在星族合成参数估计的速度与准确度方面,遗传-模拟退火结合算法优于单一的模拟退火算法.For the galaxies composed of all kinds of stars, it is important to estimate the parameters of stellar population synthesis quickly and accurately from the mas- sive data of galactic spectra. It is presented in this paper that the genetic-simulated annealing （GA-SA） combined algorithm with a complementary advantage of the good global searching-ability and the fast convergence-ability of GA, as well as the strong local searching-ability of SA. In the aspect of the speed and the accuracy of the param- eter estimation of stellar population synthesis, the experimental results show that the presented GA-SA combined algorithm is better than the single SA algorithm.

关 键 词：星系 基本参数 星系 星族 技术 光谱 方法 数据分析 

分 类 号：P157[天文地球—天文学]