Revisiting K2-233 spectroscopic time-series with multidimensional Gaussian Processes
Oscar Barrag\'an, Edward Gillen, Suzanne Aigrain, Annabella Meech,, Baptiste Klein, Louise Dyregaard Nielsen, Haochuan Yu, Niamh K. O'Sullivan,, Belinda A. Nicholson, Jorge Lillo-Box

TL;DR
This study reanalyzes spectroscopic data of the young star K2-233 using multidimensional Gaussian Processes, improving planetary signal detection and providing new mass measurements for its three transiting planets, aiding future atmospheric studies.
Contribution
It demonstrates, for the first time on real data, that multidimensional Gaussian Processes enhance the precision of planetary signal measurements over traditional methods.
Findings
Improved mass measurements of K2-233 planets.
First application of multidimensional Gaussian Processes on real stellar data.
Identification of K2-233 d as a promising target for JWST observations.
Abstract
Detecting planetary signatures in radial velocity time-series of young stars is challenging due to their inherently strong stellar activity. However, it is possible to learn information about the properties of the stellar signal by using activity indicators measured from the same stellar spectra used to extract radial velocities. In this manuscript, we present a reanalysis of spectroscopic HARPS data of the young star K2-233, which hosts three transiting planets. We perform a multidimensional Gaussian Process regression on the radial velocity and the activity indicators to characterise the planetary Doppler signals. We demonstrate, for the first time on a real dataset, that the use of a multidimensional Gaussian Process can boost the precision with which we measure the planetary signals compared to a one-dimensional Gaussian Process applied to the radial velocities alone. We measure the…
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Taxonomy
TopicsSpectroscopy and Chemometric Analyses · Stellar, planetary, and galactic studies
