The halo model is a successful framework for describing the distribution of matter in the Universe — from weak lensing observables to galaxy n-point correlation functions. We review the basic formulation of the halo model and several of its components in the context of galaxy 2-point statistics, developing a coherent framework for its application.

We use this framework to motivate the presentation of a new python tool for simple and efficient calculation of halo model quantities, and their extension to galaxy statistics via a halo occupation distribution, called halomod. This tool is efficient, simple to use, comprehensive and importantly provides a great deal of flexibility in terms of custom extensions. This python tool is complemented by a new web-application at https://thehalomod.app that supports the generation of many halo model quantities directly from the browser — useful for educators, students, theorists and observers.

晕模型是描述宇宙中物质分布的成功框架——从弱透镜观测到星系 n 点相关函数。我们在星系 2 点统计的背景下回顾了光晕模型的基本公式及其几个组成部分，为其应用开发了一个连贯的框架。

我们使用这个框架来推动一种新的python工具的展示，用于简单有效地计算光晕模型数量，并通过光晕占据分布将它们扩展到星系统计，称为halomod。该工具高效、易于使用、全面且重要的是在自定义扩展方面提供了极大的灵活性。这个Python工具由 https://thehalomod.app 上的一个新网络应用程序补充，该应用程序支持直接从浏览器生成许多光晕模型量——对教育工作者、学生、理论家和观察者很有用。