Blending ToolKit：用于星系检测与解混叠评估的模拟框架
The Blending ToolKit: A simulation framework for evaluation of galaxy detection and deblending
AI总结：
该研究提出开源Python库Blending ToolKit（BTK），通过模拟混叠星系图像、标准化算法输入输出及提供评估指标，支持宇宙学巡天中星系检测与解混叠算法的自洽比较，助力新算法开发与性能评估。
摘要：
我们提出一个开源Python库，用于模拟重叠（即混叠）星系图像，并基于一套指标对检测和解混叠算法进行自洽比较。该名为Blending ToolKit（BTK）的软件包是一个模块化、灵活、易安装且易用的接口，用于探索和分析宇宙学巡天（如Vera Rubin天文台时空遗产巡天（LSST））中与混叠星系相关的系统效应。BTK有三个主要组件：（1）一组模块，利用开源图像模拟包GalSim对混叠星系进行快速图像模拟；（2）一个标准化现有解混叠算法输入输出的模块；（3）一个包含星系解混叠文献中常用指标的库。这些组件结合使用，可让研究人员探索宇宙学巡天中星系混叠的影响。此外，BTK为开发新解混叠算法的研究人员提供了一个框架，用于评估算法性能并与现有解混叠器进行有原则的比较。BTK包含一套教程和全面文档，源代码在GitHub上公开，地址为https://github.com/LSSTDESC/BlendingToolKit。
英文摘要：
We present an open source Python library for simulating overlapping (i.e., blended) images of galaxies and performing self-consistent comparisons of detection and deblending algorithms based on a suite of metrics. The package, named Blending Toolkit (BTK), serves as a modular, flexible, easy-to-install, and simple-to-use interface for exploring and analyzing systematic effects related to blended galaxies in cosmological surveys such as the Vera Rubin Observatory Legacy Survey of Space and Time (LSST). BTK has three main components: (1) a set of modules that perform fast image simulations of blended galaxies, using the open source image simulation package GalSim; (2) a module that standardizes the inputs and outputs of existing deblending algorithms; (3) a library of deblending metrics commonly defined in the galaxy deblending literature. In combination, these modules allow researchers to explore the impacts of galaxy blending in cosmological surveys. Additionally, BTK provides researchers who are developing a new deblending algorithm a framework to evaluate algorithm performance and make principled comparisons with existing deblenders. BTK includes a suite of tutorials and comprehensive documentation. The source code is publicly available on GitHub at https://github.com/LSSTDESC/BlendingToolKit.
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