论文标题
关于伽马射线大黄油的通量的分布：随机过程的提示？
On the distribution of fluxes of gamma-ray blazars: hints for a stochastic process?
论文作者
论文摘要
我们研究了一个模型，该模型是在$γ$ ray频段中观察到的强大Blazar的时间变异性，其中描述了动力学的随机微分方程，包括确定性漂移和随机项的贡献。方程式的形式是由当前的天体物理框架激励的，它接受了喷气机通过提取由由所谓的\ emph {磁性捕获的}积聚磁盘支撑的磁场介导的中央超质量黑洞的旋转能量。我们将模型应用于几个明亮的大麻的$γ$ - 射线光曲线，并推断出适合描述它们的参数。特别是，我们检查了通量的差异分布（$ dn/df_γ$），并且我们表明，假定随机方程的预测概率密度函数自然地重现了大量磁通量$ dn/df_γγ\ proptof_γ^{ - α} $ a $ $ a> a> 2 $ 2 $。
We examine a model for the observed temporal variability of powerful blazars in the $γ$-ray band in which the dynamics is described in terms of a stochastic differential equation, including the contribution of a deterministic drift and a stochastic term. The form of the equation is motivated by the current astrophysical framework, accepting that jets are powered through the extraction of the rotational energy of the central supermassive black hole mediated by magnetic fields supported by a so-called \emph{magnetically arrested} accretion disk. We apply the model to the $γ$-ray light curves of several bright blazars and we infer the parameters suitable to describe them. In particular, we examine the differential distribution of fluxes ($dN/dF_γ$) and we show that the predicted probability density function for the assumed stochastic equation naturally reproduces the observed power law shape at large fluxes $dN/dF_γ \propto F_γ^{-α}$ with $α>2$.
