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arXiv · 2205.00067

A novel framework for semi-Bayesian radial velocities through template matching

Abstract

The detection and characterization of an increasing variety of exoplanets has been in part possible thanks to the continuous development of high-resolution, stable spectrographs, and using the Doppler radial-velocity (RV) method. The Cross Correlation Function (CCF) method is one of the traditional approaches for RV extraction. More recently, template matching was introduced as an advantageous alternative for M-dwarf stars. In this paper, we describe a new implementation of template matching within a semi-Bayesian framework, providing a more statistically principled characterization of the RV measurements. In this context, a common RV shift is used to describe the difference between each spectral order of a given stellar spectrum and a template built from the available observations. Posterior probability distributions are obtained for the relative RV associated with each spectrum, after marginalizing with respect to the continuum. This methodology was named S-BART: Semi-Bayesian Approach for RVs with Template-matching, and it can be applied to HARPS and ESPRESSO. The application of our method to HARPS archival observations of Barnard's star allowed us to validate our implementation against HARPS-TERRA and SERVAL. Then, we applied it to 33 ESPRESSO targets, evaluating its performance and comparing it with the CCF method. We found a decrease in the median RV scatter of \sim 10\% and \sim 4\% for M- and K-type stars, respectively. S-BART yields more precise RV estimates than the CCF method, particularly in the case of M-type stars where a median uncertainty of \sim 15 cm/s is achieved over 309 observations. Further, we estimated the nightly zero point (NZP) of ESPRESSO, finding a weighted NZP scatter below \sim 0.7 m/s. As this includes stellar variability, photon noise, and potential planetary signals, it should be taken as an upper limit of the RV precision attainable with ESPRESSO data.

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A. M. Silva, J. P. Faria, N. C. Santos, S. G. Sousa, P. T. P. Viana, J. H. C. Martins, P. Figueira, C. Lovis, F. Pepe, S. Cristiani, R. Rebolo, R. Allart, A. Cabral, A. Mehner, A. Sozzetti, A. Suárez Mascareño, C. J. A. P. Martins, D. Ehrenreich, D. Mégevand, E. Palle, G. Lo Curto, H. M. Tabernero, J. Lillo-Box, J. I. González Hernández, M. R. Zapatero Osorio, N. C. Hara, N. J. Nunes, P. Di Marcantonio, S. Udry, V. Adibekyan, X. Dumusque. 2022-04-29. A novel framework for semi-Bayesian radial velocities through template matching. https://doi.org/10.1051/0004-6361%2F202142262

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