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arXiv 2609.09322astro-ph.HEastro-ph.IM

cuDART:用于生成相对论天体物理源合成观测的GPU加速光线追踪代码

cuDART: a GPU-accelerated ray tracing code for generating synthetic observations of relativistic astrophysical sources

Henry Whitehead, Emma L. Elley, Christoper N. Everett

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中文总结 AI 辅助

本文提出GPU加速的开源光线追踪代码cuDART,用于将模拟数据快速渲染为相对论天体物理源的合成观测,考虑多普勒增亮和有限光传播时间延迟,并通过GPU和3D差分数字分析器算法加速,支持多视角快速生成观测图像。

中文摘要 AI 辅助

生成合成观测是将天体物理现象的模拟与真实源进行比较所必需的。我们提出了一个新的开源工具包cuDART,它能够将网格化模拟数据快速渲染为光学薄辐射的合成观测,并自动考虑一系列相对论和几何效应,如多普勒增亮。与以往通常只考虑单一时间快照的可视化方案不同,cuDART能够通过同时渲染多个模拟时期的数据来考虑天体物理距离上的有限时间延迟。我们证明了未能考虑有限光传播时间延迟会导致合成观测出现错误的观测运动、形态和通量。该代码不需要静态模式框架进行积分,放宽了分析性观测估计所需的标准假设。渲染过程通过硬件(使用GPU)和软件(使用3D差分数字分析器算法)加速,从而能够从大量观测视角快速生成观测图像。在本文中,我们描述了物理动机,记录了代码操作,并针对理论相对论和几何期望测试了输出。cuDART可通过GitHub公开获取,并使用ReadTheDocs进行文档说明。

英文摘要

The generation of synthetic observations is required to compare simulations of astrophysical phenomena with real sources. We present a new open-source toolkit cuDART which allows meshed simulation data to be rapidly rendered into synthetic observations of optically thin emission, automatically accounting for a range of relativistic and geometric effects such as Doppler boosting. Unlike previous visualisation schemes which generally consider a single snapshot in time, cuDART is capable of accounting for the finite time delay across astrophysical distances by rendering data from multiple simulation epochs simultaneously. We demonstrate how failing to account for a finite light time delay can result in synthetic observations with incorrect observed motion, morphologies and fluxes. The code does not require a static pattern frame for integration, relaxing standard assumptions required for analytical observational estimates. The rendering processes is accelerated through hardware (using GPUs) and software (using the 3D differential digital analyser algorithm), allowing for rapid generation of observations from a large number of viewing orientations. In this paper we describe the physical motivation, document the code operation and test the output against theoretical relativistic and geometric expectations. cuDART is publicly available via GitHub and documented using ReadTheDocs.

发表机构

  • Institute of Science and Technology Austria(奥地利科学技术研究所)
  • Department of Physics Astrophysics University of Oxford(牛津大学物理天体物理系)

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