寻找附近的地球类似物。III。探测到十颗新行星，三颗行星候选者，并确认三颗行星围绕十一颗附近的M矮星
Search for Nearby Earth Analogs. III. Detection of ten new planets, three planet candidates, and confirmation of three planets around eleven nearby M dwarfs
摘要：
位于M矮星宜居带的地球大小的行星是研究宜居性和探测生物特征的良好候选者。为了寻找这些行星，我们分析了所有可用的径向速度数据，并应用四个信号检测标准来选择最佳候选者。我们发现10个强有力的候选人满足这些标准和三个弱的候选人显示不一致，随着时间的推移，由于数据采样。我们还确认了三个先前的行星候选者，并通过对更新数据集的综合分析改进了它们的轨道解。在强行星候选者中，HIP 38594 b是一颗温带超级地球，质量为$8.2 \pm 1.7$ $M_\oplus$，轨道周期为$60.7\pm0.1$天，围绕着一颗早型M矮星运行。早期的M型矮星活动较少，因此比中期和晚期的M型矮星更适合居住行星。此外，我们报告了五个双行星系统的检测，包括两个系统组成的一个温暖或寒冷的海王星和一个寒冷的木星，符合这两种类型的行星之间的正相关性。我们还探测到三个温带海王星，四个寒冷的海王星和四个寒冷的海王星，这是一个很少探索的行星人口。由于它们靠近太阳，这些在宽轨道上的行星是未来HabEx和ELT等设施直接成像的合适目标。
英文摘要：
Earth-sized planets in the habitable zones of M dwarfs are good candidates for the study of habitability and detection of biosignatures. To search for these planets, we analyze all available radial velocity data and apply four signal detection criteria to select the optimal candidates. We find ten strong candidates satisfying these criteria and three weak candidates showing inconsistency over time due to data samplings. We also confirm three previous planet candidates and improve their orbital solutions through combined analyses of updated data sets. Among the strong planet candidates, HIP 38594 b is a temperate super-Earth with a mass of $8.2 \pm 1.7$ $M_\oplus$ and an orbital period of $60.7\pm0.1$ days, orbiting around an early-type M dwarf. Early-type M dwarfs are less active and thus are better hosts for habitable planets than mid-type and late-type M dwarfs. Moreover, we report the detection of five two-planet systems, including two systems made up of a warm or cold Neptune and a cold Jupiter, consistent with a positive correlation between these two types of planets. We also detect three temperate Neptunes, four cold Neptunes, and four cold Jupiters, contributing to a rarely explored planet population. Due to their proximity to the Sun, these planets on wide orbits are appropriate targets for direct imaging by future facilities such as HabEx and ELT.
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。
