arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1404.7853astro-ph.SRastro-ph.EPastro-ph.IM
收藏

系外行星和褐矮星的多普勒成像

Doppler Imaging of Exoplanets and Brown Dwarfs

Ian J. M. Crossfield

摘要:

多普勒成像使用高色散光谱技术生成旋转物体的2D全球地图。当应用于褐矮星和太阳系外行星时,这种技术可以以前所未有的细节约束全球大气动力学和/或磁场对这些物体的影响。我提出了第一个定量评估的前景多普勒成像的亚恒星物体与现有的设施和未来的巨型地面望远镜。K波段的观测灵敏度最高,但H和L波段也可用于这些目的。为了评估目标的数量和可用性,我还提出了一个汇编的光度变化,旋转周期(P)和投影旋转速度(v sin i)的棕矮星和系外行星的所有测量。几个明亮的物体已经可以用现有的仪器进行多普勒成像。随着巨大的地面望远镜的发展,多普勒成像将成为可行的几十个棕矮星和少数最明亮的直接成像的太阳系外行星(如β Pic b)。目前对P、v sin i和变异性的测量对于许多天体来说是不完整的,并且样本强烈地偏向于早期类型的天体(< L5)。因此,测量晚型物体的这些量的调查将特别有助于扩大通过多普勒成像进行全球天气监测的候选样本。

英文摘要:

Doppler Imaging produces 2D global maps of rotating objects using high-dispersion spectroscopy. When applied to brown dwarfs and extrasolar planets, this technique can constrain global atmospheric dynamics and/or magnetic effects on these objects in un- precedented detail. I present the first quantitative assessment of the prospects for Doppler Imaging of substellar objects with current facilities and with future giant ground-based telescopes. Observations will have the greatest sensitivity in K band, but the H and L bands will also be useful for these purposes. To assess the number and availability of targets, I also present a compilation of all measurements of photometric variability, rotation period (P), and projected rotational velocity (v sin i) for brown dwarfs and exoplanets. Several bright objects are already accessible to Doppler Imaging with currently available instruments. With the development of giant ground-based telescopes, Doppler Imaging will become feasible for many dozens of brown dwarfs and for the few brightest directly imaged extrasolar planets (such as beta Pic b). The present set of measurements of P, v sin i, and variability are incomplete for many objects, and the sample is strongly biased toward early-type objects (< L5). Thus, surveys to measure these quantities for later-type objects will be especially helpful in expanding the sample of candidates for global weather monitoring via Doppler Imaging.

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。

↑