Stellar Population Analysis of Galaxies based on Genetic Algorithms
Stellar Population Analysis of Galaxies based on Genetic Algorithms作者机构:National Research Institute of Astronomy and Geophysics(NRIAG)11421 HelwanCairoEgyptNational Research Institute of Astronomy and Geophysics(NRIAG)11421 HelwanCairoEgypt Cairo UniversityFaculty of ScienceAstronomy DepartmentEgypt
出 版 物:《Chinese Journal of Astronomy and Astrophysics》 (中国天文和天体物理学报(英文版))
年 卷 期:2005年第5卷第4期
页 面:347-355页
核心收录:
学科分类:07[理学] 070401[理学-天体物理] 0704[理学-天文学]
主 题:methods numerical-galaxies stellar population-galaxies individual(NGC 3384).
摘 要:We present a new method for determining the age and relative contribution of different stellar populations in galaxies based on the genetic *** apply this method to the barred spiral galaxy NGC 3384,using CCD images in U,B,V,R and I *** analysis indicates that the galaxy NGC 3384 is mainly inhabited by old stellar population(age〉10^9 yr).Some problems were encountered when numerical simulations are used for determining the contribution of different stellar populations in the integrated color of a *** results show that the proposed genetic algorithm can search efficiently through the very large space of the possible ages.