DESC DC2 数据发布说明
DESC DC2 Data Release Note
AI总结：
LSST暗能量科学合作组发布DC2项目300平方度模拟巡天的叠加图像天体目录与真值目录，配套数据访问门户与示例代码，支撑LSST宇宙学分析研究。
摘要：
为筹备Vera C. Rubin天文台空间与时间遗产巡天（LSST）的宇宙学分析工作，LSST暗能量科学合作组（LSST DESC）构建了一片300平方度的模拟巡天数据，作为名为Data Challenge 2（DC2，第二次数据挑战）项目的一部分。DC2模拟天区巡天覆盖6个光学波段，观测遵循LSST参考观测节律，已使用LSST Science Pipelines（19.0.0版本）完成处理。本说明介绍了模拟观测五年叠加图像对应的天体目录及配套真值目录的公开数据发布内容，简要说明了可用数据集的主要特性。为方便用户访问数据产品，团队开发了对接Globus数据服务的网页门户，文中说明了数据获取方式，并提供了Python语言的示例Jupyter Notebook以帮助用户初步上手数据，欢迎通过GitHub仓库提交关于本次数据发布的反馈与问题。
英文摘要：
In preparation for cosmological analyses of the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST), the LSST Dark Energy Science Collaboration (LSST DESC) has created a 300 deg$^2$ simulated survey as part of an effort called Data Challenge 2 (DC2). The DC2 simulated sky survey, in six optical bands with observations following a reference LSST observing cadence, was processed with the LSST Science Pipelines (19.0.0). In this Note, we describe the public data release of the resulting object catalogs for the coadded images of five years of simulated observations along with associated truth catalogs. We include a brief description of the major features of the available data sets. To enable convenient access to the data products, we have developed a web portal connected to Globus data services. We describe how to access the data and provide example Jupyter Notebooks in Python to aid first interactions with the data. We welcome feedback and questions about the data release via a GitHub repository.
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。
