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基于自回归方法的Blazar天体3C 279和OJ 287光变周期研究
引用本文:唐洁,张晓娟,庞桥,张皓晶,郑永刚,张雄.基于自回归方法的Blazar天体3C 279和OJ 287光变周期研究[J].天文学报,2009,50(4).
作者姓名:唐洁  张晓娟  庞桥  张皓晶  郑永刚  张雄
作者单位:1. 陕西理工学院物理系,汉中,723001
2. 陕西理工学院生物科学与工程学院,汉中,723001
3. 中国科学院国家天文台,北京,100012
4. 云南师范大学物理与电子信息学院,昆明,650092
基金项目:国家自然科学基金,陕西理工学院引进人才科研启动项目 
摘    要:探索Blazar光变资料中的周期或准周期变化是1个有待深入研究的领域.由于光变资料的复杂性,目前寻找周期的算法还不够完善.文中以现代谱估计为基础,详细论述了自回归(Auto-regressive,AR)模型谱估计方法和最大熵谱估计的基本原理,分析了阶数选择对模型的重要影响,并把这些方法应用到类星体3C 279和BL Lac天体OJ287的光变周期分析中,得到它们的光变周期分别为7.14和11.76yr.通过验证,自回归 模型谱估计方法由于其分辨率高,可以作为1种较好的分析周期的方法.最后指出在应用谱估计分析Blazar天体的光变周期注意事项.

关 键 词:蝎虎天体  个别  类星体  个别  星系  基本参数  方法  分析

Computing the Period of Light Variability in Blazar Objects 3C 279 and OJ 287 by Auto-regressive Spectral Analysis Methods
TANG Jie,ZHANG Xiao-juan,PANG Qiao,ZHANG Hao-jing,ZHENG Yong-gang,ZHANG Xiong.Computing the Period of Light Variability in Blazar Objects 3C 279 and OJ 287 by Auto-regressive Spectral Analysis Methods[J].Acta Astronomica Sinica,2009,50(4).
Authors:TANG Jie  ZHANG Xiao-juan  PANG Qiao  ZHANG Hao-jing  ZHENG Yong-gang  ZHANG Xiong
Abstract:The periodicity analysis of Blazars' light curves needs improvement. It is believed that variability is one of the denning characteristics of Blazars. Due to the complication of Blazars' light curves, the present periodicity analysis methods are not perfect. Power spectrum analysis is available if the underlying variability process is stationary, which means that the process does not change with time in statistics. Classical spectral analysis methods are unsatisfactory to solve the problem. Based on modern spectral estimation, the principle of maximum entropy estimation and Auto-regressive(AR) spectral estimation are discussed. We mainly analyze the effect of the order selection on models. Therefore, the programme applying maximum entropy estimation and AR spectral estimation to deal with the period of quasar 3C 279 and BL Lac Object OJ 287 is presented. Their derived periods of 3C 279 and OJ 287 are 7.14 and 11.76 yr, respectively. Validated by the experiments, the AR model spectrum estimation method is a good way to compute the period of light variability. At the end of this paper, we point out what should be paid attention to in the applications.
Keywords:BL Lac Objects:Individual  Quasars:Individual  Galaxies:Fundamental Parameters  Methods:Analytical
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