首页 | 本学科首页   官方微博 | 高级检索  
     检索      

用周期图谱分析方法计算Blazar天体的光变周期
引用本文:唐洁,张雄,伍林.用周期图谱分析方法计算Blazar天体的光变周期[J].天文学报,2007,48(4):488-499.
作者姓名:唐洁  张雄  伍林
作者单位:1. 陕西理工学院物理系,陕西汉中,723001;云南师范大学物理与电子信息学院,昆明,650092
2. 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;教育部科学技术研究重点项目;云南省自然科学基金
摘    要:对适用于等间隔时间序列的周期图谱分析方法进行了研究,用模拟信号进行了检验,证实了它适用于有噪声的时间序列.并把这种方法应用到类星体3C 279、3C 345,BL Lac天体OJ 287、ON 231的光变周期分析中,得到它们的光变周期分别为7.14年、10.00年、11.76年、6.80年.结果表明用周期图谱分析方法得到的结论和其他文献用Jurkevich方法得到的结论一致.获得的周期对进一步研究Blazar天体的物理机制很有帮助.还分析了窗函数的影响,指出它们的优缺点,便于在实际工作中做出正确选择.

关 键 词:方法  数值  蝎虎天体  普通
修稿时间:2006-05-14

Computing the Period of Light Variability in Blazar Objects Using the Periodogram Spectral Analysis Method
TANG Jie,ZHANG Xiong,WU Lin.Computing the Period of Light Variability in Blazar Objects Using the Periodogram Spectral Analysis Method[J].Acta Astronomica Sinica,2007,48(4):488-499.
Authors:TANG Jie  ZHANG Xiong  WU Lin
Institution:1.Department of Physics, Shaanxi University of Technology, Hanzhong Shanxi 723001;2. College of Physics, Electronics and Information, Yunnan Normal University, Kunming 650092
Abstract:The periodogram spectral analysis method for equally spaced data is discussed and the method is tested with modeling signals. The effectiveness of the periodogram spectral analysis is confirmed by applications in noise series. The method has been applied to analyze the period of the Blazar 3C 279,3C 345 and BL Lac Objects OJ 287,ON 231.Their periods are 7.14yr, 10.00yr, 11.76 yr and 6.80yr, which are consistent with other documents in Jurkevich method. The results are satisfying. The obtained periods are helpful to understand physical mechanisms of Blazars. The paper analyzes the influence of window function. Moreover, their advantages and disadvantages are discussed for the practical applications. The application results also indicate that in comparison to other traditional prediction methods, the prediction method used in this paper has a higher prediction accuracy. Thus it has theoretical meaning and practical value for the period of light variation prediction.
Keywords:Methods  Numerical  BL Lacertae Objects  General
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号