标题： 基于背景恒星掩食的LEO卫星分类 显示英文标题

标题： Classification of LEO Satellites Using Occultations of Background Stars

摘要： 我们展示了旨在根据低地球轨道（LEO）卫星对背景恒星的掩食来分类这些卫星的概念验证模拟的结果。我们生成了来自两个大致形状类别（“盒翼”和“方形”）的卫星形状。然后模拟了这些卫星在LEO轨道上运行并与背景恒星相交时导致的掩食光度变化。所得数据随后被反演以尝试恢复输入的形状并正确分类卫星。我们发现该技术理论上是可行的，但在当前望远镜能力下具有挑战性。我们构建了一个方程，用于表示该方法的成功率与曝光时间和背景恒星密度之间的关系。我们发现成功的分类需要较短的曝光时间和较高的背景恒星密度。对于成功率超过75%的情况，我们发现所需的曝光时间为$\sim2.0\times10^{-3}$秒，卫星路径上有$\sim500$颗恒星。结果以这两个关键参数的形式呈现，并在当前观测能力以及替代卫星特征化方法的背景下进行了讨论。 显示英文摘要

摘要： We present the result of a proof-of-concept simulation designed to classify LEO satellites based on their occultations of background stars. We generate satellite shapes drawn from two broad shape classes, 'boxwing' and 'square'. We then simulate the resulting occultation photometry that would be caused by these satellites orbiting in LEO and intersecting with background stars. The resulting data is then inverted to attempt to recover the input shape and classify the satellite correctly. We find that the technique is theoretically sound, but ambitious with current telescope capabilities. We construct an equation for the required success rate of the method, as a function of exposure time and density of background stars. We find that successful classification requires short exposure times and high background stellar densities. For success rates in excess of 75%, we find a required exposure time of $\sim2.0\times10^{-3}$s, and $\sim500$ stars along the satellites path. Results are presented in terms of these two key parameters, and are discussed in the context of current observational capabilities and alternative satellite characterisation methods.