论文标题
在Blazar PK的长期光曲线2155-304中，大约300天的光学准周期振荡
About 300 days optical quasi-periodic oscillations in the long-term light curves of the blazar PKS 2155-304
论文作者
论文摘要
根据从卡塔利娜天空调查（CSS）（从2005年到2013年）收集的长期光曲线，以及对超新星（ASAS-SN）（从2014年到2018年）的全天空自动化调查（光学准周期振荡（qpos），大约300天都可以在众所周知的Blazar Pks logle-sc-sc logle-SC 〜2155-30上得到很好的确定： （GLSP）方法，加权小波Z-Transform（WWZ）技术，时期折叠方法和RedFit方法。 GLSP根据错误警报概率确定的周期性的显着性水平高于99.9999 \％。在考虑红噪声的影响后，在ASAS-SN光曲线中，RedFit提供的周期性置信度高于99 \％。基于连续的自动回旋（CAR）过程创建了人造光曲线，检测假QPO的可能性低于0.8 \％。 CSS和ASAS-SN光曲线的确定的光学周期性与文献中报道的光学周期性非常一致。此外，讨论了三个可能的模型，以解释PKS 2155-304中的光学QPO：相对论框架拖拉效果，二进制黑洞（BBH）模型和JET进动模型。
Based on the long-term light curves collected from the Catalina Sky Survey (CSS) (from 2005 to 2013) and the All-Sky Automated Survey for Supernovae (ASAS-SN) (from 2014 to 2018), optical quasi-periodic oscillations (QPOs) about 300 days can be well determined in the well-known blazar PKS~2155-304 through four different methods: the generalized Lomb-Scargle periodogram (GLSP) method, the weighted wavelet Z-transform (WWZ) technique, the epoch-folded method and redfit method. The GLSP determined significance level for the periodicity is higher than 99.9999\% based on a false alarm probability. The redfit provided confidence level for the periodicity is higher than 99\% in ASAS-SN light curve, after considering the effects of red noise. Based on continuous autoregressive (CAR) process created artificial light curves, the probability of detecting fake QPOs is lower than 0.8\%. The determined optical periodicity of 300 days from CSS and ASAS-SN light curves is well consistent with the reported optical periodicity in the literature. Moreover, three possible models are discussed to explain the optical QPOs in PKS 2155-304: the relativistic Frame-dragging effect, the binary black hole (BBH) model and the jet precession model.
