论文标题
最后的旅程。 ii。 SMACC-使用核心目录的Subhalo质量损失分析
The Last Journey. II. SMACC -- Subhalo Mass-loss Analysis using Core Catalogs
论文作者
论文摘要
本文介绍了SMACC-使用核心目录的Subhalo质量损失分析。 SMACC根据Halo“核心跟踪”为子结构合并树增加了质量模型。我们的方法避免了运行昂贵的Subhalo查找算法的需求，而是使用Subhalo质量损失模型将质量分配给Halo核心。我们介绍了SMACC方法论的细节，并在描述了光晕子结构及其演变方面表现出了出色的表现。使用宇宙学模拟以明显不同的分辨率进行验证。我们将SMACC应用于1.24万亿粒子的最后一段旅程模拟，并使用其他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的输入或subho丰度匹配的方法，以确定近似星系分布以及对小规模结构演化的深入研究。
This paper introduces SMACC -- Subhalo Mass-loss Analysis using Core Catalogs. 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 semi-analytic models or subhalo abundance matching approaches to determine approximate galaxy distributions, as well as for in-depth studies of small-scale structure evolution.
