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arXiv 2403.03427astro-ph.EPastro-ph.IMcs.LG
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结合机器学习与航天器机载诊断数据的开普勒望远镜单次凌星检测

Single Transit Detection In Kepler With Machine Learning And Onboard Spacecraft Diagnostics

University of Florida(佛罗里达大学);Bryant Space Science Center(布莱恩特空间科学中心)

Matthew T. Hansen, Jason A. Dittmann

AI总结:

本研究提出融合开普勒航天器机载诊断数据的卷积神经网络集成方法,可检测长周期单次凌星,800天周期内灵敏度超80%,还发现候选行星KOI 1271.02并初步约束其参数。

摘要:

长轨道周期系外行星的发现需要在无系统额外信息的情况下可靠检测单次凌星事件。光变曲线相位折叠、径向速度数据周期图分析等技术对短轨道周期行星更敏感,导致长周期行星发现数量匮乏。我们提出一种新技术,采用融合开普勒(Kepler)航天器机载诊断数据的卷积神经网络集成模型,对光变曲线中的凌星事件进行分类。我们搭建了可恢复单次凌星位置及绕行行星周期的流水线,在800天轨道周期范围内仍保持>80%的凌星恢复灵敏度。该神经网络流水线有望在开普勒数据集中发现更多行星,关键是可覆盖η-Earth(类地行星宜居带)区间。我们公布了该流水线发现的首个候选体KOI 1271.02。已知KOI 1271.01存在显著的凌星计时变化(Transit Timing Variations, TTVs),因此我们对两颗凌星行星的TTVs与凌星信号联合建模,以约束轨道构型与行星参数,最终给出KOI 1271.02的一系列可能参数——目前尚无足够数据对该系统进行唯一约束。我们得出KOI 1271.02的半径为5.32±0.20 R⊕(地球半径),质量为28.94₋₀.₄₇⁺⁰·²³ M⊕(地球质量)。未来要进一步明确KOI 1271.02的性质,需测量KOI 1271.01的更多TTVs,或观测到KOI 1271.02的第二次凌星。

英文摘要:

Exoplanet discovery at long orbital periods requires reliably detecting individual transits without additional information about the system. Techniques like phase-folding of light curves and periodogram analysis of radial velocity data are more sensitive to planets with shorter orbital periods, leaving a dearth of planet discoveries at long periods. We present a novel technique using an ensemble of Convolutional Neural Networks incorporating the onboard spacecraft diagnostics of \emph{Kepler} to classify transits within a light curve. We create a pipeline to recover the location of individual transits, and the period of the orbiting planet, which maintains $>80\%$ transit recovery sensitivity out to an 800-day orbital period. Our neural network pipeline has the potential to discover additional planets in the \emph{Kepler} dataset, and crucially, within the $η$-Earth regime. We report our first candidate from this pipeline, KOI 1271.02. KOI 1271.01 is known to exhibit strong Transit Timing Variations (TTVs), and so we jointly model the TTVs and transits of both transiting planets to constrain the orbital configuration and planetary parameters and conclude with a series of potential parameters for KOI 1271.02, as there is not enough data currently to uniquely constrain the system. We conclude that KOI 1271.02 has a radius of 5.32 $\pm$ 0.20 $R_{\oplus}$ and a mass of $28.94^{0.23}_{-0.47}$ $M_{\oplus}$. Future constraints on the nature of KOI 1271.02 require measuring additional TTVs of KOI 1271.01 or observing a second transit of KOI 1271.02.

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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