Deriving the radial-velocity variations induced by stellar activity from high-precision photometry - Test on HD189733 with simultaneous MOST/SOPHIE data
A. F. Lanza, I. Boisse, F. Bouchy, A. S. Bonomo, C. Moutou

TL;DR
This paper presents a method to predict and mitigate stellar activity-induced radial velocity variations using simultaneous high-precision photometry and spectroscopy, demonstrated on HD189733, improving exoplanet detection accuracy.
Contribution
The study introduces a novel spot modeling approach that combines photometry and spectroscopy to effectively reduce stellar activity signals in radial velocity data.
Findings
Model predicts RV variations with high accuracy for HD189733.
Active longitudes exhibit differential rotation with a minimum relative amplitude of 0.23.
Method reduces activity-induced RV power by a factor of 2 to 10.
Abstract
Stellar activity induces apparent radial velocity (RV) variations in late-type main-sequence stars that may hamper the detection of low-mass planets and the measurement of their mass. We use simultaneous measurements of the active planet host star HD189733 with high-precision optical photometry by the MOST satellite and high-resolution spectra by SOPHIE. We apply on this unique dataset a spot model to predict the activity-induced RV variations and compare them with the observed ones. The model is based on the rotational modulation of the stellar flux. A maximum entropy regularization is applied to find a unique and stable solution for the distribution of the active regions versus stellar longitude. The RV variations are synthesized considering the effects on the line profiles of the brightness perturbations due to dark spots and bright faculae and the reduction of the convective…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
