PyAutoLens：开源强引力透镜
PyAutoLens: Open-Source Strong Gravitational Lensing
摘要：
强引力透镜可以使背景源星系因其光线被一个或多个前景透镜星系的质量偏转而多次出现，为天文学家研究暗物质、宇宙学和最遥远宇宙提供了强有力的工具。PyAutoLens是一个用于强引力透镜的开源Python 3.6+包，其核心功能包括星系和星系团的全自动强透镜建模，支持直接成像和干涉仪数据集以及用于模拟强透镜样本的综合工具。该API允许用户通过使用分析光和质量配置文件来执行光线跟踪，以构建强大的镜头系统。PyAutoLens附带的是autolens工作区（参见https：//github.com/Jammy2211/autolens_workspace），其中包括示例脚本，镜头数据集和HowToLens讲座，这些讲座以PyAutoLens笔记本格式向非专家介绍使用PyAutoLens的强镜头。读者现在就可以尝试PyAutoLens，可以访问Binder上的Introduction Notebook（参见https：//mybinder.org/v2/gh/Jammy2211/autolens_workspace/master）或查看readthedocs（参见https：//pyautolens.readthedocs.io/en/latest/）以获得PyAutoLens功能的完整概述。
英文摘要：
Strong gravitational lensing, which can make a background source galaxy appears multiple times due to its light rays being deflected by the mass of one or more foreground lens galaxies, provides astronomers with a powerful tool to study dark matter, cosmology and the most distant Universe. PyAutoLens is an open-source Python 3.6+ package for strong gravitational lensing, with core features including fully automated strong lens modeling of galaxies and galaxy clusters, support for direct imaging and interferometer datasets and comprehensive tools for simulating samples of strong lenses. The API allows users to perform ray-tracing by using analytic light and mass profiles to build strong lens systems. Accompanying PyAutoLens is the autolens workspace (see https://github.com/Jammy2211/autolens_workspace), which includes example scripts, lens datasets and the HowToLens lectures in Jupyter notebook format which introduce non experts to strong lensing using PyAutoLens. Readers can try PyAutoLens right now by going to the introduction Jupyter notebook on Binder (see https://mybinder.org/v2/gh/Jammy2211/autolens_workspace/master) or checkout the readthedocs (see https://pyautolens.readthedocs.io/en/latest/) for a complete overview of PyAutoLens's features.
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。
