AI 中文总结
GRaTer-JAX是用于碎屑盘建模的Python软件包，结合GRaTer框架与JAX的高性能计算能力，提供强大高效的建模框架，能统一正向建模等工作流程，还能进行更高级建模，推动相关研究发展。
AI 中文摘要
GRaTer-JAX是一个用于碎屑盘建模的Python软件包，碎屑盘是恒星周围的尘埃盘，能为行星系统的形成、结构和演化提供重要线索。GRaTer是一个碎屑盘建模框架，最初用于生成和拟合光学薄、轴对称尘埃盘模型。JAX是用于高性能计算的Python软件包。GRaTer-JAX提供了比以前工具更强大、高效和稳健的碎屑盘建模框架。其基于JAX的后端实现了数量级的加速和解析梯度，直观且可扩展的API统一了单个工作流程中的正向建模、优化和推理。结合磁盘模型的关键补充，它能够进行更高级的碎屑盘建模。
英文摘要
GRaTer-JAX is a Python package for modeling debris disks, disks of dust around stars that pro- vide important clues about the formation, structure, and evolution of planetary systems. GRaTer (Generator of Ring-like, axisymmetric, optically Thin dust disks for regularized fitting) is a debris disk modeling framework originally developed for generating and fitting models of optically thin, ax- isymmetric dust disks. JAX is a Python package for high-performance computing that implements just-in-time compilation and auto-differentiation, enabling significant speedups in forward modeling workflows. GRaTer-JAX delivers a more powerful, efficient, and robust debris disk modeling framework than previous tools. Its JAX-based backend provides orders-of-magnitude speedups and analytic gradients, while its intuitive and extensible API unifies forward modeling, optimization, and inference within a single workflow. Combined with key additions to its disk model, it is capable of more advanced debris disk modeling, enabling research that was previously computationally impractical such as explorations of additional morphological parameters and disk composition via scattering phase functions.
Comments4 pages, 3 figures
