CosmoDyn：一个用于宇宙学模拟中致密恒星系统与黑洞动力学演化的半解析后处理框架
CosmoDyn: a semi-analytic post-processing framework for the dynamical evolution of compact stellar systems and black holes in cosmological simulations
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中文总结 AI 辅助
CosmoDyn是一个开源Python框架，从宇宙学模拟中重建星系环境并追踪致密天体动力学，可同时考虑内外星族及卫星影响，支持快速参数探索。
中文摘要 AI 辅助
尽管目前已有大量公开的宇宙学模拟，但其空间和质量分辨率仍不足以精确追踪致密恒星系统与黑洞的动力学演化。因此，需要一种补充方法来利用这些模拟中编码的宇宙学并合历史，而无需重新运行模拟。我们提出了CosmoDyn，一个开源的Python框架，它能够从任意宇宙学模拟中重建随时间变化的星系环境，并显式追踪其中未被解析的致密天体。CosmoDyn的一个显著特点是，它不仅模拟主宿主星系，还通过移动引力势模拟其吸积的卫星星系。因此，该框架能够同时考虑外部（ex-situ）星族的输送以及卫星星系对宿主星系中已有内部（in-situ）星族的动力学影响。该模块化流程包含四个主要阶段：重建演化的宿主星系和卫星星系引力势；生成内部和外部致密天体星族；使用可配置的动力学摩擦和质量损失模型对其轨道进行积分；以及模拟潮汐流。一旦重建完成，同一宇宙学环境可被重复用于探索不同的天体、初始条件和物理模型，且计算成本较低。因此，CosmoDyn能够实现快速参数探索，并应用于具有统计显著性的星系样本，同时其模块化架构旨在逐步纳入更真实的引力势和形成模型。
英文摘要
Although a large number of cosmological simulations are now publicly available, their spatial and mass resolutions remain insufficient to accurately follow the dynamics of compact stellar systems and black holes. A complementary approach is therefore required to exploit the cosmological assembly histories encoded in these simulations without rerunning them. We present CosmoDyn, an open-source Python framework that reconstructs time-dependent galactic environments from any cosmological simulations and explicitly follows unresolved compact objects within them. A distinctive feature of CosmoDyn is that it models not only the main host galaxy but also its accreted satellites via moving gravitational potentials. The framework can therefore account simultaneously for the delivery of ex-situ populations and for the dynamical influence of satellites on in-situ population already present in the host. The modular pipeline comprises four main stages: reconstructing the evolving host and satellite potentials; generating in-situ and ex-situ populations of compact objects; integrating their orbits with configurable prescriptions for dynamical friction, and mass loss; and modeling tidal streams. Once reconstructed, the same cosmological environment can be reused to explore different objects, initial conditions, and physical prescriptions at low computational cost. CosmoDyn thus enables rapid parameter exploration and applications to statistically significant galaxy samples, while its modular architecture is designed to incorporate progressively more realistic potentials, and formation models.
发表机构
- LIRA, Observatoire de Paris, Université PSL, Sorbonne Université, Université Paris Cité, CY Cergy Paris Université, CNRS（巴黎天文台，巴黎文理研究大学，索邦大学，巴黎西岱大学，塞吉-蓬图瓦兹大学，法国国家科学研究中心）
- Kavli IPMU (WPI), UTIAS, The University of Tokyo（东京大学）
- Institut de Ciències del Cosmos (ICCUB), Universitat de Barcelona（巴塞罗那大学）
- Institute for Complex Systems - Consiglio Nazionale delle Ricerche（意大利国家研究委员会复杂系统研究所）
- Physics Department, Sapienza Università di Roma（罗马第一大学）
- Department of Astrophysics, University of Vienna（维也纳大学）
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