论文标题
ROADRUNNER：快速，灵活的系外行驶型模型
RoadRunner: a fast and flexible exoplanet transit model
论文作者
论文摘要
我提出了Roadrunner，这是一种快速的系外行驶模型，可以使用任何径向对称的功能来模拟恒星的肢体变暗，同时比Mandel＆Agol（2002）的二次肢体变暗的分析过境模型更快地评估。该模型的CPU和GPU实现可在Pytransit Transit建模软件包中获得，并具有与平台无关的并行化，超级采样和对建模复杂的异质时间序列建模的支持。该代码是用无C或FORTRAN依赖项的NumBa加速Python（和OpenCL中的GPU模型）编写的，该依赖性依赖性依赖性依赖性依赖性，允许将肢体变暗模型作为任何可容纳python可抵抗的函数。最后，作为方法的灵活性的一个示例，最新版本的Pytransit具有数值的肢体变暗模型，该模型使用LDTK生成的肢体生成的肢体变暗概要文件，而无需通过分析模型近似它们。
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.
