Pandora: A fast open-source exomoon transit detection algorithm
Pandora: A fast open-source exomoon transit detection algorithm
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Pandora：一种快速开源外月凌日检测算法
DOI：
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发表时间：
2022
期刊：
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通讯作者：
R. Heller
中科院分区：
文献类型：
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作者：
M. Hippke;R. Heller
我们推出了 Pandora，这是一款新软件，用于在恒星光度时间序列中对带有卫星的太阳系外行星凌日进行建模、检测和表征。潘多拉使用对恒星前面的行星和月球的凌日光曲线进行分析描述，大气边缘变暗，它涵盖了凌日期间行星-月球相互食的所有情况。恒星-行星-月球系统的轨道运动是作为嵌套开普勒问题进行高精度计算的。我们对 Pandora 的计算速度进行了优化，使其适合天基高精度勘测新时代的大规模系外卫星搜索。我们首先模拟假设的木星四次凌日的光变曲线，该木星有一个巨大的海王星大小的外卫星，围绕类太阳恒星运行一年，展示了潘多拉在外卫星搜索中的可用性。数据的 10 分钟节奏与即将到来的 PLATO 任务的节奏相匹配，百万分之 100 的噪声主要由光子噪声主导，出于实用性，假设光度安静，m V = 11 类太阳恒星。我们使用 UltraNest 贝叶斯推理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。 Pandora 是第一个光动力开源外月凌日检测算法，完全用 python 编程语言实现，可供社区加入外月搜索。卫星：探测 – 恒星：太阳能型 – 技术：光度测定
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 10min 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. satellites: detection – stars: solar-type – techniques: photometric