3D magneto-hydrodynamical simulations of stellar convective noise for improved exoplanet detection. I. Case of regularly sampled radial velocity observations
S. Sulis, D. Mary, L. Bigot

TL;DR
This study uses 3D magneto-hydrodynamical simulations to model stellar convective noise in radial velocity data, improving exoplanet detection reliability by better estimating false alarm probabilities and enhancing detection methods.
Contribution
It introduces a new approach combining 3D MHD simulations with standardized periodogram analysis to accurately estimate false alarm probabilities in exoplanet detection.
Findings
3D simulations produce realistic solar RV noise models.
Analytic FAP expressions are accurate for regularly sampled data.
Adaptive tests outperform classical methods in complex systems.
Abstract
Convective motions at the stellar surface generate a stochastic colored noise source in the radial velocity (RV) data. This noise impedes the detection of small exoplanets. Moreover, the unknown statistics (amplitude, distribution) related to this noise make it difficult to estimate the false alarm probability (FAP) for exoplanet detection tests. In this paper, we investigate the possibility of using 3D magneto-hydrodynamical simulations (MHD) of stellar convection to design detection methods that can provide both a reliable estimate of the FAP and a high detection power. We tested the realism of 3D simulations in producing solar RV by comparing them with the observed disk integrated velocities taken by the GOLF instrument on board the SOHO spacecraft. We presented a new detection method based on periodograms standardized by these simulated time series, applying several detection tests…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Scientific Research and Discoveries · Blind Source Separation Techniques
