共查询到19条相似文献，搜索用时 328 毫秒
1.
研究了Blazar天体3C 66A光学波段的准周期光变行为.收集了3C 66A光学V波段将近18 yr (2003—2021年)的测光数据,观测数据主要来源是:上海天文台(ShAO)、 AAVSO (The American Association of Variable Star Observers)数据库、Steward天文台.使用了Jurkevich和Lomb-Scargle两种方法分析了光变数据.Jurkevich方法得到了(850±90) d (～2.3 yr)和(1150±140) d (～3.2 yr)的光变周期,而Lomb-Scargle方法在充分考虑了“红噪声”效应之后同样得到了(869±70) d和(1111±90) d的光变周期,它们的置信水平分别为>99%和> 95%.通过与之前的研究结果比较,发现～2.3 yr的光变周期在3C 66A的历史光变数据中是一个稳定的周期,而～3.2 yr的周期则是不稳定的. 相似文献
2.
光变是Blazar最显著的观测特征之一,有的光变呈准周期性. Blazar周期光变可能为其中心黑洞和吸积盘等内部物理结构提供重要信息.因此,周期分析对于讨论Blazar的光变有重要意义.结合经验模态分解(Empirical Mode Decomposition, EMD)和自回归(Auto-regressive, AR)模型谱估计方法的优点,提出了一种基于EMD-AR谱的组合光变周期分析新方法.先对观测数据进行EMD分解,得到各阶模态分量,并计算其与原始光变曲线的相关系数,再取相关度高的分量求和后估算AR谱,最后将此功率谱的周期分析方法用于天体的光变数据分析.讨论了EMD-AR谱方法的原理和应用步骤,并用此方法对类星体3C 273在1887—2016年的观测数据进行了分析,得到3C 273的长时标周期分别为:21.23、13.51、11.02、5.51、4.69、3.79、2.76 yr,与文献中常用方法的分析结果有很好的一致性;短时标周期分别为:(30±1)、(15±0.3)、(7.5±0.2)、(10±0.1)、(5±0.6)、(6±0.4)和(3±0.5) min,此结果未见相关... 相似文献
3.
从文献中收集了类星体3C273射电、毫米、红外、光学、紫外和高能波段1963年至2006年的观测数据,获得各波段的长期光变曲线。用Jurkevich方法和离散相关函数(Discrete Correlation Function,DCF)方法分别研究了多波段的光变周期。研究结果表明:(1)3C273在所研究波段内的辐射流量都表现出周期性变化的特征;(2)用Jurkevich方法和离散相关函数方法分析得到的多波段变化周期的结果非常一致;(3)3C273在射电和毫米波段可能存在8.0年左右的固有周期成分,在红外、光学和紫外波段可能存在2.0年和11.0年左右的固有周期成分,在高能波段可能存在1.0年左右的固有周期成分。简要探讨了引起3C273各波段周期光变的可能原因,研究结果表明用激波加速模型(shock-in-jet)能较好地解释引起3C273多波段光变的原因。 相似文献
4.
用WWZ变换分析类星体3C 345的光变周期 总被引：1，自引：0，他引：1
介绍了一种全新的基于小波分析原理的处理非等间隔数据的方法:加权小波Z变换(Weighted Wavelet Z-transform,WWZ).收集了类星体3C 345光学B波段100多年来较为完整的观测数据,获得了其长期光变曲线.利用WWZ变换对3C 345 B波段28 yr的光变数据进行分析,通过研究发现3C 345的光变曲线中包含有624～941 d、4.54～5.23 yr和9.59～11.51 yr的周期成分,并分析了它们随时间演化的情况.其中后两个周期成分属于稳定周期,而前一个周期成分波动比较大,可以推测它并不是一个稳定周期. 相似文献
5.
本文利用两种周期分析方法(Jurkevich方法和功率谱方法)分析了赛弗特星系3C120五个射电波段的光变曲线(4.8,8,14.5,22和37 GHz)。结果发现了一个大约为4.2a(年)的周期共同存在于5个波段的光变曲线中。这个周期可能能用双黑洞模型来解释。 相似文献
6.
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. 相似文献
7.
给出了4种分析类星体长周期光变的方法,用一个模拟的周期信号y=sinθ检验这4种分析方法,结果表明:(1)天体光变采样的数据点个数相对少到一定值时,Jurkevich方法、时间补偿离散傅里叶变换分析方法(DCDFT)、离散相关分析方法(DCF)和功率谱密度分析方法(PSD)的分析结果不一样,获取最短的连续数据点后,Jurkevich方法分析结果在4种方法中可能最为精确可靠,且计算方法简捷实用;(2)获得了Jurkevich分析方法的最佳参数,当m=9时分析结果最佳;(3)用m=9时的Jurkevich方法分析了类星体3C 279及3C 454.3的光变周期,得出3C 279的可能光变周期为(2.81±0.54)年,3C 454.3的可能光变周期为457 d。 相似文献
8.
9.
《天文学报》2015,(2)
搜集了类星体3C 273在光学B波段近100 yr的数据,得出光变曲线,并在此基础上应用Period04软件对它的光变周期进行了分析.发现光变曲线中存在周期为T1=2.06 yr、T2=13.03 yr及T3=21.15 yr的3个光变周期,这与Fan等人的结论(3C 273的光学B波段存在2.0 yr、(13.65±0.20)yr及(22.5±2.0)yr的周期)基本上是一致的.然后用这3个周期再次拟合观测数据做一个周期反演,周期拟合曲线与观测数据的爆发周期规律基本一致,说明这3个周期是比较可靠的.并通过其长周期可以得出其中心黑洞质量为M=1.87×106M⊙,最后讨论了其中心黑洞质量以及3C 273产生这种周期的可能机制. 相似文献
10.
介绍了一种用小波分析寻找BL Lac天体S5 0716+714光变周期的方法.收集了BL Lac天体S5 0716+714光学B、V、R,I四个波段较完备的观测数据,获得了10天平均的长期光变曲线.使用此光变曲线数据进行小波分析计算,结果表明小波分析方法能较好地分析和认证BL Lac天体的光变周期值.从小波变换系数实部的等值线图,可以准确证认BL Lac天体S5 0716+714有光变周期波动变化.由B,V,R,I四个波段的小波方差曲线分析发现BL Lac天体S5 0176+714有一个1160天的稳定周期,这个结果与Raiteri等人发现的3.3年周期是一致的.预测在2011年8月将有一次大的爆发. 相似文献
11.
The periodogram spectral analysis method applicable to equallyspaced time series is discussed, and the method is tested first with a simulated data series. It is confirmed that this method is effective for noisy series. Then, applying this method to the analysis of the light periods of the quasars 3C 279 and 3C 345 as well as the BL Lac objects OJ 287 and ON 231, we obtain their light periods to be 7.14 yr, 10.00 yr, 11.76 yr and 6.80 yr, respectively. These results obtained by periodogram spectral analysis are consistent with those obtained by the Jurkevich method in the literature. We have analyzed the effects of different window functions, and commented on their correct selection in practical applications. 相似文献
12.
将基于多重信号分类的MUSIC谱估计算法引入BL Lac天体光变周期分析中.给出了MUSIC算法的基本原理,利用模拟信号检测了算法的频谱分辨率.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,用MUSIC算法和平均周期图算法分别计算了它们的光变周期,发现存在两个主要光变周期:一个是(3.33±0.08)yr的周期,另一个是(1.24±0.01)yr的周期.对这两种算法的周期估计性能进行了比较,结果表明,MUSIC谱估计算法对样本长度要求较低,具有良好的分辨特性和抗噪声能力,能提高在样本长度较短情况下光变周期分析的准确性. 相似文献
13.
The multiple signal classi?cation (MUSIC) algorithm is introduced to the estimation of light periods of BL Lac objects. The principle of the MUSIC algorithm is given, together with a testing on its spectral resolution by using a simulative signal. From a lot of literature, we have collected a large number of effective observational data of the BL Lac object S5 0716+714 in the three optical wavebands V, R, and I from 1994 to 2008. The light periods of S5 0716+714 are obtained by means of the MUSIC algorithm and average periodogram algorithm, respectively. It is found that there exist two major periodic components, one is the period of (3.33±0.08) yr, another is the period of (1.24±0.01) yr. The comparison of the performances of periodicity analysis of two algorithms indicates that the MUSIC algorithm has a smaller requirement on the sample length, as well as a good spectral resolution and anti-noise ability, to improve the accuracy of periodicity analysis in the case of short sample length. 相似文献
14.
Ya. I. Zyelyk N. N. Stepanian O. A. Andryeyeva 《Bulletin of the Crimean Astrophysical Observatory》2007,103(1):39-47
The application of spectral analysis methods for studying the rotation of solar structures is considered. The time series characterizing the time variation of the solar He I 1083 nm emission in 5° latitude zones have been used. Three types of spectral analysis have been tested: the Welch method, the multitaper method, and the Schuster periodogram method. The first two methods have been chosen for the analysis of observing time intervals 26 and 3 years in length. The Schuster periodogram method is more suitable for the sliding spectral analysis in a 1-year-long temporal window with a shift by half a year. The chosen methods for analyzing the power spectra allow one to obtain the spectral densities, the powers of significant peaks in them and the corresponding periods, the total powers in the specified intervals of periods and to estimate the significance of the peaks found and the intervals in which the true periods corresponding to the peaks can be located. 相似文献
15.
Jie Tang Xiao-juan Zhang Qiao Pang Hao-Jing Zhang Yong-Gang Zheng Xiong Zhang 《Chinese Astronomy and Astrophysics》2010
The light variability is one of the main characteristics of blazar objects. Because of the complexity of their light curves, the present periodicity analysis methods are not yet perfect. Based on the modern spectral estimate theory, this paper has described in details the principles of the maximum entropy spectral estimate and autoregressive (AR) spectral estimate, analyzed the effect of the order number selection on the resultant model. Applying these methods to the periodicity analysis of the quasar 3C 279 and BL Lac object OJ 287, their light periods are obtained to be 7.14 and 11.76 yr, respectively. As is verified by experiments, the AR spectral estimate has a high resolution and is a rather good periodicity analysis method. Finally, the items noteworthy for the application of these spectrum estimation methods to the periodicity analysis of the light variations of blazars are mentioned. 相似文献
16.
H.J. Haubold 《Astrophysics and Space Science》1997,258(1-2):201-218
Wavelet analysis offers an alternative to Fourier based time- series analysis and is particularly useful when spectral features
are time dependent. We analyze the solar neutrino capture rate of the radiochemical Homestake chlorine experiment with abbreviated
Morlet wavelets, using Foster's (AJ, 111,1709(1996)) rescaled wavelet technique. We emphasize the complementarity of wavelet
analysis to Fourier analysis. Wavelet analysis confirms the results of previously undertaken Fourier analysis. The Homestake
data seem to contain a harmonic content with periodicities of 4.76 yr, 1.89 yr, 0.85 yr, and 0.51 yr. Wavelet analysis reveals
that the 4.76 yr and 1.89 yr periods show an almost constant behavior over the 25 yr Homestake data record, while the 0.85
yr and 0.51 yr periods exhibit a transient phenomenon. The analysis does not show strong evidence for a period of the solar
11 yr cycle.
This revised version was published online in July 2006 with corrections to the Cover Date. 相似文献
17.
Elena Aleksandrovna Bruevich Vasily Vladimirovich Bruevich Boris Pavlovich Artamonov 《天文和天体物理学研究(英文版)》2018,(7)
The wavelet transform method for high-quality time-frequency analysis is applied to sets of observations of relative sunspot numbers and stellar chromosphere fluxes of 10 Sun-like stars.Wavelet analysis of solar data shows that in a certain interval of time there are several cycles of activity with periods of duration which vary considerably from each other:from quasi-biennial cycles to 100-yr cycles.Cyclic activity was detected in almost all Sun-like stars that we examined,even those that previously were not considered as stars with cyclic activity according to analysis using a Scargle periodogram.The durations of solar and stellar cycles significantly change during the observation period. 相似文献
18.
We have analyzed the solar irradiance data from the Earth Radiation Budget Satellite(ERBS)during the time period from 1984 October 15 to 2003 October 15.By first filtering the data by Simple Exponential Smoothing,we have applied the periodogram method to the processed data in order to search for its time variation.The study exhibits multi-periodicities on these data around 110,118,574 and 740d with very high confidence levels(more than 99%).These periods are significantly similar to the periods of other solar activities which may suggest that solar irradiance may be associated with other solar activities. 相似文献
19.
Masoud Mirmomeni Caro Lucas Babak Nadjar Araabi Behzad Moshiri Mohammad Reza Bidar 《Solar physics》2011,272(1):189-213
The time-varying Sun as the main source of space weather affects the Earth??s magnetosphere by emitting hot magnetized plasma in the form of solar wind into interplanetary space. Solar and geomagnetic activity indices and their chaotic characteristics vary abruptly during solar and geomagnetic storms. This variation depicts the difficulties in modeling and long-term prediction of solar and geomagnetic storms. On the other hand, the combination of neurofuzzy models and spectral analysis has been a subject of interest due to their many practical applications in modeling and predicting complex phenomena. However, these approaches should be trained by algorithms that need to be carried out by an offline data set, which influences their performance in online modeling and prediction of time-varying phenomena. This paper proposes an adaptive approach for multi-step ahead prediction of space weather indices by extending the regular singular spectrum analysis and locally linear neurofuzzy models to adaptive approaches. The combination of these recursive approaches fulfills requirements of long-term prediction of solar and geomagnetic activity indices. The results demonstrate the power of the proposed method in online prediction of space weather indices. 相似文献