发表机构
School of Physical Science and Technology, Ningbo University; BINGO Center, Ningbo University; Center for High Energy Physics, Peking University（宁波大学物理科学与技术学院; 宁波大学BINGO中心; 北京大学高能物理中心）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出GPU加速的开源广义相对论偏振辐射转移代码KPolaris，支持解析模型与GRMHD模拟，提供诊断工具并验证精度，显著降低图像生成成本，促进偏振黑洞图像的多频率与时变研究。
AI 中文摘要
偏振黑洞图像携带关于磁化等离子体和辐射传播所经过的弯曲时空两者的信息。我们提出了KPolaris，一个基于Kokkos框架构建的开源GPU加速广义相对论偏振辐射转移代码。它支持解析等离子体模型和GRMHD模拟数据，并包含快光和慢光辐射转移。该代码还提供将图像结构与发射等离子体和传播效应联系起来的诊断工具。这些包括发射率加权等离子体图、选定区域的发射贡献、选定光线的历史，以及斯托克斯参数对等离子体参数的敏感性。数值收敛测试和与独立辐射转移代码的比较评估了计算的准确性。GPU加速降低了图像生成的计算成本，促进了偏振黑洞图像的多频率和时变研究。
英文摘要
Polarized black-hole images carry information about both the magnetized plasma and the curved spacetime through which the radiation propagates. We present KPolaris, an open-source GPU-accelerated general-relativistic polarized radiative-transfer code built on the Kokkos framework. It supports analytic plasma models and GRMHD simulation data, with both fast-light and slow-light radiative transfer. The code also provides diagnostics that connect image structure to the emitting plasma and to propagation effects along the rays. These include emissivity-weighted plasma maps, emission contributions from selected regions, selected-ray histories, and sensitivities of the Stokes parameters to plasma parameters. Numerical convergence tests and comparisons with an independent radiative-transfer code assess the accuracy of the calculations. GPU acceleration reduces the computational cost of image generation, facilitating multi-frequency and time-dependent studies of polarized black-hole images.
Comments15 pages, 4 figures, 8 tables
