We present the Model-Agnostic Dark Halo Analysis Tool (MADHAT), a numerical tool which implements a Fermi-LAT data-driven, model-independent analysis of gamma-ray emission from dwarf satellite galaxies and dwarf galaxy candidates due to dark matter annihilation, dark matter decay, or other nonstandard or unknown astrophysics. This tool efficiently provides statistical upper bounds on the number of observed photons in excess of the number expected, based on empirical determinations of foregrounds and backgrounds, using a stacked analysis of any selected set of dwarf targets. It also calculates the resulting bounds on the properties of dark matter under any assumptions the user makes regarding dark sector particle physics or astrophysics. As an application, we determine new bounds on Sommerfeld-enhanced dark matter annihilation in a set of eight dwarfs. MADHAT v1.0 includes 58 dwarfs and dwarf candidate targets, and we discuss future planned developments. MADHAT is available and will be maintained at this https URL

中文翻译：

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MADHAT：与模型无关的暗光晕分析工具

我们提出了与模型无关的暗晕分析工具 (MADHAT)，这是一种数值工具，它实现了费米 LAT 数据驱动的、与模型无关的对矮卫星星系和矮星系候选者由于暗物质湮灭而发射的伽马射线的分析，暗物质衰变，或其他非标准或未知的天体物理学。该工具基于前景和背景的经验确定，使用任何选定的矮目标集的堆叠分析，有效地提供了观察到的光子数量超过预期数量的统计上限。它还计算用户对暗扇区粒子物理学或天体物理学所做的任何假设下暗物质属性的结果界限。作为应用程序，我们确定了一组八个矮人中索末菲增强的暗物质湮灭的新界限。MADHAT v1.0 包括 58 个矮人和矮人候选目标，我们讨论了未来计划的发展。MADHAT 可用，并将在此 https URL 中维护