论文标题
Pandora：快速的开源Exomoon Transit检测算法
Pandora: A fast open-source exomoon transit detection algorithm
论文作者
论文摘要
我们提出了潘多拉（Pandora），这是一种新的软件，用于建模，检测和表征具有恒星光度法时间序列的月球外行星的过渡。潘多拉（Pandora）对行星和月球在恒星面前的过境光曲线进行了分析描述，大气四肢变暗，它涵盖了过境期间的所有互惠行星月食的案例。 Star-Planet-Moon系统的轨道运动以高精度作为嵌套开普勒问题计算。我们已经优化了潘多拉（Pandora）的计算速度，以使其适用于新的高范围高临界调查时代的大规模外观搜索。我们通过首先模拟假设的木星的四个过渡，并在围绕太阳状恒星的一年轨道上模拟带有四个假设的木星的光曲线，证明了潘多拉（Pandora）对外观搜索的可用性。数据的10分钟节奏符合即将到来的柏拉图任务和百万分之100的噪声与光子噪声的主导，假设光度安静，$ m_v = 11 $ sun-like tim-sun样星可实用。我们使用超级贝叶斯推理软件包恢复了模拟系统参数。在标准计算机上，此搜索的运行时间约为五个小时。潘多拉（Pandora）是第一个光动力学的开源外源出口传输检测算法，该算法完全用Python编程语言实现，并可以供社区加入搜索外源的搜索。
We present Pandora, a new software to model, detect, and characterize transits of extrasolar planets with moons in stellar photometric time series. Pandora uses an analytical description of the transit light curve for both the planet and the moon in front of a star with atmospheric limb darkening and it covers all cases of mutual planet-moon eclipses during transit. The orbital motion of the star-planet-moon system is computed with a high accuracy as a nested Keplerian problem. We have optimized Pandora for computational speed to make it suitable for large-scale exomoon searches in the new era of space-based high-accuracy surveys. We demonstrate the usability of Pandora for exomoon searches by first simulating a light curve with four transits of a hypothetical Jupiter with a giant Neptune-sized exomoon in a one-year orbit around a Sun-like star. The 10 min cadence of the data matches that of the upcoming PLATO mission and the noise of 100 parts per million is dominated by photon noise, assuming a photometrically quiet, $m_V = 11$ Sun-like star for practicality. We recovered the simulated system parameters with the UltraNest Bayesian inference package. The run-time of this search is about five hours on a standard computer. Pandora is the first photodynamical open-source exomoon transit detection algorithm, implemented fully in the Python programming language and available for the community to join the search for exomoons.
