kima: Exoplanet detection in radial velocities
kima: Exoplanet detection in radial velocities
复制标题
kima：径向速度的系外行星检测
DOI：
10.21105/joss.00487
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
B. Brewer
中科院分区：
文献类型：
--
作者：
J. Faria;N. Santos;P. Figueira;B. Brewer
径向速度 (RV) 方法是探测系外行星最成功的方法之一，但受到恒星固有的 RV 变化的阻碍，这种变化很容易模仿或隐藏真实的行星信号。 kima 是一个使用 RV 数据检测和表征系外行星的软件包。它将开普勒曲线的总和与 RV 测量值的时间序列进行拟合，并计算具有固定数量 Np 的开普勒信号或边缘化 Np 后的模型的证据。此外，kima 可以使用具有准周期核的 GP 作为噪声模型，来处理活动引起的信号。 GP 的超参数与轨道参数一起推断。该代码是用 C++ 编写的，但包含一个辅助 Python 包 pykima，它有助于结果分析。
The radial-velocity (RV) method is one of the most successful in the detection of exoplanets, but is hindered by the intrinsic RV variations of the star, which can easily mimic or hide true planetary signals. kima is a package for the detection and characterization of exoplanets using RV data. It fits a sum of Keplerian curves to a timeseries of RV measurements and calculates the evidence for models with a fixed number Np of Keplerian signals, or after marginalising over Np. Moreover, kima can use a GP with a quasi-periodic kernel as a noise model, to deal with activity-induced signals. The hyperparameters of the GP are inferred together with the orbital parameters. The code is written in C++, but includes a helper Python package, pykima, which facilitates the analysis of the results.