I present RoadRunner, a fast exoplanet transit model that can use any radially symmetric function to model stellar limb darkening while still being faster to evaluate than the analytical transit model for quadratic limb darkening by Mandel & Agol (2002). CPU and GPU implementations of the model are available in the PyTransit transit modelling package, and come with platform-independent parallelisation, supersampling, and support for modelling complex heterogeneous time series. The code is written in numba-accelerated Python (and the GPU model in OpenCL) without C or Fortran dependencies, which allows for the limb darkening model to be given as any Python-callable function. Finally, as an example of the flexibility of the approach, the latest version of PyTransit comes with a numerical limb darkening model that uses LDTk-generated limb darkening profiles directly without approximating them by analytical models.

中文翻译：

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RoadRunner：快速灵活的系外行星运输模型

我提出了 RoadRunner，这是一个快速系外行星凌日模型，它可以使用任何径向对称函数来模拟恒星边缘变暗，同时仍然比 Mandel & Agol (2002) 的二次边缘变暗分析凌日模型评估速度更快。该模型的 CPU 和 GPU 实现在 PyTransit 交通建模包中可用，并带有平台无关的并行化、超级采样和对复杂异构时间序列建模的支持。代码是用 numba 加速的 Python（以及 OpenCL 中的 GPU 模型）编写的，没有 C 或 Fortran 依赖项，这允许将边缘变暗模型作为任何 Python 可调用函数给出。最后，作为该方法灵活性的一个例子，