The CARMENES search for exoplanets around M dwarfs: Benchmarking the impact of activity in high-precision radial velocity measurements
S.V.Jeffers (MPS, Goettingen), J.R.Barnes, P.Scheofer, A.Quirrenbach,, M.Zechmeister, P.J.Amado, J.A.Caballero, M.Fernandez, E.Rodriguez, I.Ribas,, A.Reiners, C.Cardona Guillen, C.Cifuentes, S.Czesla, A.P.Hatzes, M.Kurster,, D.Montes, J.C.Morales, S.Pedraz, S.Sadegi

TL;DR
This study benchmarks the impact of stellar activity on high-precision radial velocity measurements of active M dwarfs, demonstrating that regular observations and activity correction techniques significantly improve exoplanet detection sensitivity.
Contribution
It introduces a low-resolution Doppler imaging technique to quantify activity-induced RV variations and shows how removing these effects enhances planet detection around active M dwarfs.
Findings
Strong correlation between centre-of-light and chromatic index.
Removing spot-induced RV improves planet-mass sensitivity by at least three.
Regular-cadence observations are most effective for activity mitigation.
Abstract
Current exoplanet surveys using the radial velocity (RV) technique are targeting M dwarfs because any habitable zone terrestrial-mass planets will induce a high RV and orbit on shorter periods than for more massive stars. One of the main caveats is that M dwarfs show a wide range of activity levels from inactive to very active, which can induce an asymmetry in the line profiles and, consequently, a spurious RV measurement. We aim to benchmark the impact of stellar activity on high-precision RV measurements using regular-cadence CARMENES visible and near-infrared observations of the active M3.5 dwarf EV Lac. We used the newly developed technique of low-resolution Doppler imaging to determine the centre-of-light, or spot-induced RV component, for eight observational epochs. We confirm a statistically significant and strong correlation between the independently measured centre-of-light and…
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.
