This paper introduces Subhalo Mass-loss Analysis using Core Catalogs (SMACC). SMACC adds a mass model to substructure merger trees based on halo “core tracking.” Our approach avoids the need for running expensive subhalo finding algorithms and instead uses subhalo mass-loss modeling to assign masses to halo cores. We present details of the SMACC methodology and demonstrate its excellent performance in describing halo substructure and its evolution. Validation of the approach is carried out using cosmological simulations at significantly different resolutions. We apply SMACC to the 1.24-trillion-particle Last Journey simulation and construct core catalogs with the additional mass information. These catalogs can be readily used as input to semianalytic models or subhalo abundance matching approaches to determine approximate galaxy distributions, as well as for in-depth studies of small-scale structure evolution.

本文介绍了使用岩心目录 (SMACC) 进行的 Subhalo 质量损失分析。SMACC 基于光环“核心跟踪”为子结构合并树添加了一个质量模型。我们的方法避免了运行昂贵的 subhalo 寻找算法的需要，而是使用 subhalo 质量损失建模来将质量分配给 halo core。我们介绍了 SMACC 方法的详细信息，并展示了其在描述晕子结构及其演变方面的出色性能。该方法的验证是使用宇宙学模拟以显着不同的分辨率进行的。我们将 SMACC 应用到 1.24 万亿粒子 Last Journey 模拟中，并使用附加质量信息构建核心目录。这些目录可以很容易地用作半分析模型或亚晕丰度匹配方法的输入，以确定近似的星系分布，