FIESTA – disentangling stellar variability from exoplanets in the Fourier domain

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY(2020)

引用 21|浏览5
暂无评分
摘要
We propose a new analysis methodology - FourIEr phase SpecTrum Analysis (FIESTA, or Phi ESTA) - for the study of spectral line profile variability in Fourier space. The philosophy of Phi ESTA is highlighted in its interpretation of a line deformation as various shifts of the composing Fourier modes. With this ability, Phi ESTA excels in distinguishing the effects of a bulk shift in a line profile, from changes in a line profile shape. In other words, it can distinguish a radial velocity shift due to orbiting companions like planets, from an apparent radial velocity shift due to stellar variability (often referred to as 'jitter'). Most importantly, it can quantify the radial velocity impact of stellar jitter on each epoch. Our simulations show that (compared to a model that does not account for stellar activity), Phi ESTA can almost triple the fraction of planets recovered with orbital parameters measured to within 10 per cent of their input parameters, when extracting a 2 m s(-1) amplitude planetary signal in the midst of similar to 2 m s(-1) amplitude starspot jitter for high signal-to-noise ratio (>200 pixel(-1)) data. Phi ESTA can also be used to identify stellar activity related periods in a periodogram analysis and classify relative amplitudes of stellar jitter and planetary signals, with examples for the analysis of HARPS data of the active star HD224789 and the active planet-host star HD103720. In the end, we demonstrate that Phi ESTA's framework is working as well as other activity indicators in correlating with stellar jitter.
更多
查看译文
关键词
methods: data analysis,techniques: radial velocities,stars: activity
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要