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arXiv 2402.04549astro-ph.HEastro-ph.COastro-ph.GAhep-ph
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将基于模拟的推断应用于银心伽马射线超出的光谱和空间信息

Applying Simulation-Based Inference to Spectral and Spatial Information from the Galactic Center Gamma-Ray Excess

Katharena Christy, Eric J. Baxter, Jason Kumar

AI总结:

针对Fermi银心伽马射线超出(GCE)的暗物质或毫秒脉冲星起源之争,提出基于神经后验模型的模拟推断方法,联合分析光子方向与光谱信息,并准确校正Fermi LAT望远镜分辨率。

摘要:

Fermi银心伽马射线超出(GCE)的两种最受青睐的解释是毫秒脉冲星和星系平滑暗物质晕的自湮灭。为了区分这些可能性,我们希望最优地利用可用数据中的所有信息,包括光子方向和能量信息。迄今为止,对GCE的分析通常将方向和能量信息分开处理,或者完全忽略其中之一。在这里,我们开发了一种分析GCE的方法,该方法依赖于使用神经后验模型的基于模拟的推断,以联合分析光子方向和光谱信息,同时正确考虑望远镜的空间和能量分辨率,这里假设望远镜为Fermi大面积望远镜(LAT)。我们的结果对弥漫伽马射线背景的分析也具有意义,我们对此进行了讨论。

英文摘要:

The two most favored explanations of the Fermi Galactic Center gamma-ray excess (GCE) are millisecond pulsars and self annihilation of the smooth dark matter halo of the galaxy. In order to distinguish between these possibilities, we would like to optimally use all information in the available data, including photon direction and energy information. To date, analyses of the GCE have generally treated directional and energy information separately, or have ignored one or the other completely. Here, we develop a method for analyzing the GCE that relies on simulation-based inference with neural posterior models to jointly analyze photon directional and spectral information while correctly accounting for the spatial and energy resolution of the telescope, here assumed to be the Fermi Large Area Telescope (LAT). Our results also have implications for analyses of the diffuse gamma-ray background, which we discuss.

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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