论文标题
Allesfitter：来自光度法和径向速度的柔性星和系外行星推断
Allesfitter: Flexible Star and Exoplanet Inference From Photometry and Radial Velocity
论文作者
论文摘要
我们提出了AllesFitter，这是一种公共和开源Python软件，用于给定光度和径向速度数据的恒星和系外行星的灵活推理。 Allesfitter提供了丰富的轨道和过境/日食模型，可容纳多个系外行星，多星系统，过境时期的变化，相位曲线，恒星变异性，星形斑点，出色的耀斑以及包括高斯流程在内的各种系统噪声模型。它具有参数估计和贝叶斯模型选择，可以轻松运行马尔可夫链蒙特卡洛（MCMC）或嵌套采样拟合。对于新手用户，图形用户界面允许指定所有输入并执行分析；对于Python用户，所有现有脚本都可以轻易导入所有模块。 Allesfitter还生产出出版的表，乳胶命令和数字。该软件可公开使用（https://github.com/mnguenther/allesfitter），pip-installable（pip install asslins allesfitter）和据可查（www.allesfitter.com）。最后，我们在几个示例中演示了该软件的功能，并在可能的情况下为Pi Mensae，TOI-216，WASP-18，KOI-1003和GJ 1243提供了文献更新。
We present allesfitter, a public and open-source python software for flexible and robust inference of stars and exoplanets given photometric and radial velocity data. Allesfitter offers a rich selection of orbital and transit/eclipse models, accommodating multiple exoplanets, multi-star systems, transit-timing variations, phase curves, stellar variability, star spots, stellar flares, and various systematic noise models including Gaussian Processes. It features both parameter estimation and Bayesian model selection, allowing to easily run either a Markov Chain Monte Carlo (MCMC) or Nested Sampling fit. For novice users, a graphical user interface allows to specify all input and perform analyses; for python users, all modules can be readily imported in any existing scripts. Allesfitter also produces publication-ready tables, LaTeX commands, and figures. The software is publicly available (https://github.com/MNGuenther/allesfitter), pip-installable (pip install allesfitter) and well documented (www.allesfitter.com). Finally, we demonstrate the software's capabilities on several examples and provide updates to the literature where possible for Pi Mensae, TOI-216, WASP-18, KOI-1003 and GJ 1243.
