标题： 索尔查：广域系外行星探测器时间系综模拟器的太阳系调查仿真器 显示英文标题

标题： Sorcha: A Solar System Survey Simulator for the Legacy Survey of Space and Time

摘要： 鲁宾天文台即将开展的时空遗产巡天（LSST）预计将彻底改变太阳系天文学。这项为期十年的广域巡天规模空前，将收集数十亿次观测，并预测发现$\sim$500万个新的太阳系天体。 和其他所有天文巡天一样，它的结果将受到一系列复杂且相互交织的探测偏差的影响。长期以来，人们使用巡天模拟器来前向建模这些偏差对特定群体的影响，从而可以直接与实际发现进行比较。 然而，LSST的规模和巨大的范围需要开发新的工具。在这篇论文中，我们介绍了 Sorcha，一个用Python编写的开源巡天模拟器。Sorcha 的设计考虑到了 LSST 的规模，是一个全面的巡天模拟器，可以涵盖所有太阳系小天体群体。其灵活的模块化设计允许用户轻松将其适应于其他巡天任务。该模拟器既可以在本地运行，也可以在高性能计算（HPC）集群上运行，从而能够重复模拟数百万到数十亿个天体（真实和合成）。 显示英文摘要

摘要： The upcoming Legacy Survey of Space and Time (LSST) at the Vera C. Rubin Observatory is expected to revolutionize solar system astronomy. Unprecedented in scale, this ten-year wide-field survey will collect billions of observations and discover a predicted $\sim$5 million new solar system objects. Like all astronomical surveys, its results will be affected by a complex system of intertwined detection biases. Survey simulators have long been used to forward-model the effects of these biases on a given population, allowing for a direct comparison to real discoveries. However, the scale and tremendous scope of the LSST requires the development of new tools. In this paper we present Sorcha, an open-source survey simulator written in Python. Designed with the scale of LSST in mind, Sorcha is a comprehensive survey simulator to cover all solar system small-body populations. Its flexible, modular design allows Sorcha to be easily adapted to other surveys by the user. The simulator is built to run both locally and on high-performance computing (HPC) clusters, allowing for repeated simulation of millions to billions of objects (both real and synthetic).