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Stellar Population Analysis of Galaxies based on Genetic Algorithms

Stellar Population Analysis of Galaxies based on Genetic Algorithms

作     者:Abdel-Fattah Attia H.A.Ismail I.M.Selim A.M.Osman I.A.Isaa M.A.Marie A.A.Shaker 

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:0709[理学-地质学] 07[理学] 0708[理学-地球物理学] 070401[理学-天体物理] 0825[工学-航空宇航科学与技术] 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.

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