论文标题
使用lepto-hadronic动力学方程从大麻中对多通间散发进行建模的贝叶斯方法
A Bayesian Approach to Modelling Multi-Messenger Emission from Blazars using Lepto-Hadronic Kinetic Equations
论文作者
论文摘要
Blazar TXS 0506+056是一致的中微子和伽马射线耀斑事件的主要候选人。在本文中，我们提出了一个详细的动力学钩光 - 音速发射模型，该模型能够在给定一组参数的情况下产生光子和中微子光谱。我们的模型包括一系列大规模的几何形状以及电子和质子的动态和稳态注射模型。我们将该模型与马尔可夫链蒙特卡洛采样器联系起来，以获得强大的统计工具，该工具使我们能够符合光谱能量分布并研究参数的概率密度函数和相关性。假设有信托中微子通量，我们证明了如何在贝叶斯框架中共同建模多通间的观察结果。我们找到了测试模型的每个变体的最佳参数，并报告了它们的互相关。此外，我们确认重现TXS 0506+056的中微子通量需要在局部加速过程中或外部注射中的极端质子与电子比率。
Blazar TXS 0506+056 is the main candidate for a coincident neutrino and gamma-ray flare event. In this paper, we present a detailed kinetic lepto-hadronic emission model capable of producing a photon and neutrino spectrum given a set of parameters. Our model includes a range of large-scale geometries and both dynamical and steady-state injection models for electrons and protons. We link this model with a Markov Chain Monte Carlo sampler to obtain a powerful statistical tool that allows us to both fit the Spectral Energy Distribution and study the probability density functions and correlations of the parameters. Assuming a fiducial neutrino flux, we demonstrate how multi-messenger observations can be modelled jointly in a Bayesian framework. We find the best parameters for each of the variants of the model tested and report on their cross-correlations. Additionally, we confirm that reproducing the neutrino flux of TXS 0506+056 requires an extreme proton to electron ratio either in the local acceleration process or from external injection.
