Using hydrodynamical simulations of stellar atmospheres for periodogram standardization : application to exoplanet detection

Abstract

Our aim is to devise a detection method for exoplanet signatures (multiple sinusoids) that is both powerful and robust to partially unknown statistics under the null hypothesis. In the considered application, the noise is mostly created by the stellar atmosphere, with statistics depending on the complicated interplay of several parameters. Recent progresses in hydrodynamic (HD) simulations show however that realistic stellar noise realizations can be numerically produced off-line by astrophysicists. We propose a detection method that is calibrated by HD simulations and analyze its performances. A comparison of the theoretical results with simulations on synthetic and real data shows that the proposed method is powerful and robust.

5 pages, 3 figures. This manuscript was submitted and accepted to the 41st IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2016

References in corpus (3)

• The PLATO 2.0 Mission
• Radial Velocity Detection of Earth-mass Planets in the Presence of Activity Noise: The Case of Alpha Centauri Bb
• Exoplanet Detection Techniques

Cited by in corpus (4)

• Radial Velocity Data Analysis with Compressed Sensing Techniques
• Efficient modeling of correlated noise I. Statistical significance of periodogram peaks
• A study of periodograms standardized using training data sets and application to exoplanet detection
• Semi-supervised standardized detection of extrasolar planets