论文标题
通过时间域方法在高能AGN中搜索周期性
Search for periodicities in High Energy AGNs with a time-domain approach
论文作者
论文摘要
本文研究了一种新方法，以在高能量伽玛射线源（例如活性银河核（AGNS））的光曲线中寻找周期。高能光曲线具有明显的随机组件，从而使周期检测有些挑战。在我们的模型中，周期性的术语，光曲线的漂移和随机行走与由于彩色噪声引起的磁通点之间的相关性随机行走被独立考虑。模型的参数直接从马尔可夫链蒙特 - 卡洛最小化获得。将发现的时间段与公开可用的Agatha计划的输出进行了比较。该搜索方法适用于Fermi-LAT目录的高能周期性AGN候选。讨论了周期性模型对纯噪声模型的重要性。最后，在最重要的候选者上研究了周期和振幅振幅的变异性。
This paper investigates a new methodology to search for periods in light-curves of high-energy gamma-ray sources such as Active Galactic Nuclei (AGNs). High-energy light curves have significant stochastic components, making period detection somewhat challenging. In our model, periodic terms, drifts of the light-curves and random walk with correlation between flux points due to colored noise are taken into account independently. The parameters of the model are obtained directly from a Markov Chain Monte-Carlo minimization. The time periods found are compared to the output of the publicly available Agatha program. The search method is applied to high-energy periodic AGN candidates from the Fermi-LAT catalogue. The significance of periodic models over pure noise models is discussed. Finally, the variability of the period and amplitude of oscillating terms is studied on the most significant candidates.
