arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1909.03129astro-ph.HE
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Blazar S5 0716+714微变特性的统计分析

Statistical analysis of micro-variability properties of the blazar S5 0716+714

Jingran Xu, Shaoming Hu, James R. Webb, Gopal Bhatta, Yunguo Jiang, Xu Chen, Sofya Alexeeva, Yutong Li

摘要:

典型的耀变体S5 0716 $+$ 714由于其在光学波段的快速和大幅度的变化和高占空比的微变而非常有趣。我们分析了2011 - 2018年山东大学威海天文台$1.0m$望远镜在I、R和V波段的观测结果。来自喷流中湍流细胞的同步辐射模型已被提出作为解释耀变体光变曲线中所见的微观变化的机制。利用该模型可以研究射流中湍流单元的尺寸、增强颗粒密度以及湍流单元的位置等参数。该模型预测了在不同频带中观察到的变化之间的时滞。提出了微变模型的自动拟合方法,多频微变观测数据的拟合结果支持了该模型。结果表明,由微变光变曲线分解出的耀斑振幅和持续时间均符合对数正态分布。湍流胞的大小在5 ~ 55 AU之间,微变耀斑在I-R和R-V波段之间的时间差为几分钟。由湍流模型得到的时间滞后与拟合统计结果一致,耀斑的时间滞后与整个光变曲线的时间滞后相关。

英文摘要:

The typical blazar S5 0716$+$714 is very interesting due to its rapid and large amplitude variability and high duty cycle of micro-variability in optical band. We analyze the observations in I, R and V bands obtained with the $1.0m$ telescope at Weihai observatory of Shandong University from 2011 to 2018. The model of synchrotron radiation from turbulent cells in a jet has been proposed as a mechanism for explaining micro-variability seen in blazar light curves. Parameters such as the sizes of turbulent cells, the enhanced particle densities, and the location of the turbulent cells in the jet can be studied using this model. The model predicts a time lag between variations as observed in different frequency bands. Automatic model fitting method for micro-variability is developed, and the fitting results of our multi-frequency micro-variability observations support the model. The results show that both the amplitude and duration of flares decomposed from the micro-variability light curves confirm to the log-normal distribution. The turbulent cell size is within the range of about 5 to 55 AU, and the time lags of the micro-variability flares between the I-R and R-V bands should be several minutes. The time lags obtained from the turbulence model are consistent with the fitting statistical results, and the time lags of flares are correlated with the time lags of the whole light curve.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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