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arXiv 1409.4152astro-ph.EP
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基于EXONEST算法的HAT-P-7 b贝叶斯分析

A Bayesian Analysis of HAT-P-7b Using the EXONEST Algorithm

Ben Placek, Kevin H. Knuth

摘要:

对系外行星(围绕其他恒星运行的行星)的研究正在彻底改变我们看待宇宙的方式。开普勒太空望远镜(Kepler)提供的高精度光度数据不仅可以探测这些行星,还可以对其进行表征。这提供了一个独特的机会,可以应用贝叶斯方法来更好地描述先前确认的众多系外行星。利用EXONEST算法对短周期热木星HAT-P-7 b的凌日特征进行了研究。EXONEST通过应用贝叶斯模型选择来评估一套系外行星光度模型,贝叶斯模型选择是用MultiNest算法实现的。这些模型考虑了行星的影响,如反射光和热辐射,以及行星运动对主星的影响,如主星反射运动产生的多普勒光束或增强,以及由于行星引起的主星椭圆形的光度变化。通过计算模型证据,人们可以确定哪个模型最好地描述了观测数据,从而确定哪些影响主导了行星系。给出了HAT-P-7 b的参数估计值和模型证据。

英文摘要:

The study of exoplanets (planets orbiting other stars) is revolutionizing the way we view our universe. High-precision photometric data provided by the Kepler Space Telescope (Kepler) enables not only the detection of such planets, but also their characterization. This presents a unique opportunity to apply Bayesian methods to better characterize the multitude of previously confirmed exoplanets. This paper focuses on applying the EXONEST algorithm to characterize the transiting short-period-hot-Jupiter, HAT-P-7b. EXONEST evaluates a suite of exoplanet photometric models by applying Bayesian Model Selection, which is implemented with the MultiNest algorithm. These models take into account planetary effects, such as reflected light and thermal emissions, as well as the effect of the planetary motion on the host star, such as Doppler beaming, or boosting, of light from the reflex motion of the host star, and photometric variations due to the planet-induced ellipsoidal shape of the host star. By calculating model evidences, one can determine which model best describes the observed data, thus identifying which effects dominate the planetary system. Presented are parameter estimates and model evidences for HAT-P-7b.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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