首页> 外文期刊>Astronomy and astrophysics >Combining high-contrast imaging and radial velocities to constrain the planetary architectures of nearby stars ★★
【24h】

Combining high-contrast imaging and radial velocities to constrain the planetary architectures of nearby stars ★★

机译:结合高对比度成像和径向速度来约束附近恒星的行星结构 ★★

获取原文
获取外文期刊封面目录资料

摘要

Context. Nearby stars are prime targets for exoplanet searches and characterization using a variety of detection techniques. Combining constraints from the complementary detection methods of high-contrast imaging (HCI) and radial velocity (RV) can further constrain the planetary architectures of these systems because these methods place limits at different regions of the companion mass and semi-major axis parameter space. Compiling a census of the planet population in the solar neighborhood is important to inform target lists for future space missions that will specifically target nearby stars to search for Earth analogs. Aims. We aim to constrain the planetary architectures from the combination of HCI and RV data for six nearby stars within 6 pc: τ Ceti, Kapteyn’s star, AX Mic, 40 Eri, HD 36395, and HD 42581. We explored where HCI adds information to constraints from the long-term RV monitoring data for these stars. Methods. We compiled the sample from stars with available archival VLT/NACO HCI data at L ′ band (3.8 μ m), where we expect substellar companions to be brighter for the typically older ages of nearby field stars (>1 Gyr). The NACO data were fully reanalyzed using the state-of-the-art direct imaging pipeline PynPoint and combined with RV data from HARPS, Keck/HIRES, and CORALIE. A Monte Carlo approach was used to assess the completeness in the companion mass and semi-major axis parameter space from the combination of the HCI and RV data sets. Results. We find that the HCI data add significant information to the RV constraints, increasing the completeness for certain companions masses and semi-major axes by up to 68–99% for four of the six stars in our sample, and by up to 1–13% for the remaining stars. The improvements are strongest for intermediate semi-major axes (15–40 AU), corresponding to the semi-major axes of the ice giants in our own solar system. The HCI mass limits reach 5–20 M _(Jup)in the background-limited regime, depending on the age of the star. Conclusions. Through the combination of HCI and RV data, we find that stringent constraints can be placed on the possible substellar companions in these systems. Applying these methods systematically to nearby stars will quantify our current knowledge of the planet population in the solar neighborhood and inform future observations.
机译:上下文。邻近的恒星是使用各种探测技术进行系外行星搜索和表征的主要目标。来自高对比度成像(HCI)和径向速度(RV)的互补检测方法的约束条件进一步限制了这些系统的行星结构,因为这些方法在伴随质量和半长轴参数空间的不同区域设置了限制。编制一份关于太阳邻区行星人口普查的信息对于告知未来太空任务的目标清单非常重要,该任务将专门针对附近的恒星搜索地球类似物。目的我们的目标是通过HCI和RV数据的组合来限制6个pc内附近六颗恒星的行星结构:τCeti,Kapteyn的恒星,AX Mic,40 Eri,HD 36395和HD42581。我们探索了HCI在何处将信息添加到约束中这些星星的长期RV监测数据。方法。我们使用L'波段(3.8μm)的可用档案VLT / NACO HCI数据从恒星中收集了样本,我们期望在这些恒星的伴星下,通常较老的近地恒星(> 1 Gyr)年龄会更亮。使用最新的直接成像管道PynPoint对NACO数据进行了全面的重新分析,并与来自HARPS,Keck / HIRES和CORALIE的RV数据相结合。蒙特卡罗方法用于从HCI和RV数据集的组合评估伴随质量和半长轴参数空间的完整性。结果。我们发现,HCI数据为RV约束增加了重要信息,使样本中六颗恒星中某些伴星质量和半长轴的完整性提高了68–99%,最高达到1–13剩余星星的%。对于中间半长轴(15–40 AU),这种改进最强,对应于我们自己的太阳系中冰巨人的半长轴。在恒星背景下,HCI的质量极限达到5–20 M _(Jup),具体取决于恒星的年龄。结论。通过结合HCI和RV数据,我们发现可以对这些系统中可能存在的星下伴星施加严格的约束。系统地将这些方法应用于附近的恒星,将量化我们对太阳附近星球人口的当前知识,并为将来的观测提供依据。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号