YARARA: Significant improvement of RV precision through post-processing of spectral time-series
M. Cretignier, X. Dumusque, N. C. Hara, F. Pepe

TL;DR
YARARA is a post-processing pipeline that significantly improves radial-velocity measurement precision by cleaning spectral time-series from instrumental and atmospheric systematics, enabling better exoplanet detection.
Contribution
The paper introduces YARARA, a novel spectral cleaning pipeline that enhances RV precision by applying advanced corrections and PCA on spectral time-series, outperforming standard methods.
Findings
Achieved <1 m/s RV RMS over 13 years for HD10700, surpassing standard pipelines.
Reduced false signals and improved detection of known exoplanets.
Demonstrated that YARARA does not distort true Doppler signals.
Abstract
Aims: Even the most-precise radial-velocity instruments gather high-resolution spectra that present systematic errors that a data reduction pipeline cannot identify and correct for efficiently. In this paper, we aim at improving the radial-velocity precision of HARPS measurements by cleaning individual extracted spectra using the wealth of information contained in spectra time-series. Methods: We developed YARARA, a post-processing pipeline designed to clean high-resolution spectra from instrumental systematics and atmospheric contamination. Spectra are corrected for: tellurics, interference pattern, detector stitching, ghosts and fiber B contaminations as well as more advanced spectral line-by-line corrections. YARARA uses Principal Component Analysis on spectra time-series with prior information to disentangle contaminations from real Doppler shifts. We applied YARARA on three…
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