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基于双谱估计的BL Lac天体S5 0716+714光变周期
引用本文:唐洁,张雄.基于双谱估计的BL Lac天体S5 0716+714光变周期[J].物理学报,2010,59(10):7516-7522.
作者姓名:唐洁  张雄
作者单位:1. 陕西理工学院物理系,汉中,723001
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(批准号:10363002,10663002)和陕西理工学院引进人才科研启动基金(批准号:SLGQD0721)资助的课题.
摘    要:大幅度、快速光变是BL Lac天体的重要特征之一,光变研究对探索BL Lac天体内部的物理过程和机理具有特殊的意义.从大量文献中收集了BL Lac天体S5 0716+714光学V,R,I 3个波段从1994年到2008年的有效观测数据,并将这些数据30天平均后进行自回归模型(AR)的双谱估计. 双谱的等高线图和对角切片图表明,双谱估计能消除噪声的干扰来提取有用信息,抑制了噪声、提高了信噪比,有很高的分辨率,避免了伪峰的出现,能准确地认证BL Lac天体的光变周期值.由V,R,I 3个波段的双谱等高线图和对

关 键 词:S5  0716+714  光变周期  自回归  双谱估计
收稿时间:2010-01-27
修稿时间:4/3/2010 12:00:00 AM

Optical variability periodicity analysis of BL Lac object S5 0716+714 based on bispectrum estimation
Tang Jie,Zhang Xiong.Optical variability periodicity analysis of BL Lac object S5 0716+714 based on bispectrum estimation[J].Acta Physica Sinica,2010,59(10):7516-7522.
Authors:Tang Jie  Zhang Xiong
Institution:Department of Physics, Shaanxi University of Technology, Hanzhong 723001, China;Department of Physics, Yunnan Normal University, Kunming 650092, China
Abstract:Large and rapid variability is one of the defining properties of BL Lac objects. Variability in BL Lac objects has always served as a powerful and important tool for inquring into the physics of these unusual objects. From an extensive seach in the literature we have collected a total of data points of effective observations of BL Lac object S5 0716+714 in V, R and I bands from 1994 to 2008. Then these data are processed on 30 days baseline by autoregressive bispectrum model. In order to eliminate noise interference to extract useful information in the background of Gaussian noise, we propose a method of signal analysis and processing,which analyzes the additive Gaussion noise signal based on autoregressive bispectrum model. Bispectrum is not sensitive to Gaussian noise, it not only suppresses the Gaussion noise in the signal and greatly improves the signal to noise ratio, but also can identify the periodical variations of BL Lac objects. Our results show that the long term periods of variation are 3.33 years and 3.47 years. The conclusion is consistent with 3.3 years period which was found by Raiteri et al. The brightness peak was observed in 2007, so we expect the next burst in 2011—2012.
Keywords:S5 0716+714  period  autoregressive  bispectrum estimation
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