TL;DR
The paper introduces the Multi-Mask Least-Squares Deconvolution (MM-LSD) pipeline, a novel method for extracting radial velocities from stellar spectra that improves accuracy by using multiple tailored masks and excluding problematic spectral lines.
Contribution
It presents a new RV extraction pipeline based on LSD with multiple tailored masks, enhancing reliability and reducing scatter compared to traditional methods.
Findings
Achieved 12% lower scatter in RV measurements for FGK stars with high S/N.
Successfully tested on HARPS-N data for the Sun and other stars.
Flexible exclusion of variable or problematic spectral lines improves RV precision.
Abstract
To push the radial velocity (RV) exoplanet detection threshold, it is crucial to find more reliable radial velocity extraction methods. The Least-Squares Deconvolution (LSD) technique has been used to infer the stellar magnetic flux from spectropolarimetric data for the past two decades. It relies on the assumption that stellar absorption lines are similar in shape. Although this assumption is simplistic, LSD provides a good model for intensity spectra and likewise an estimate for their Doppler shift. We present the Multi-Mask Least-Squares Deconvolution (MM-LSD) RV extraction pipeline which extracts the radial velocity from two-dimensional echelle-order spectra using LSD with multiple tailored masks after continuum normalisation and telluric absorption line correction. The flexibility of LSD allows to exclude spectral lines or pixels at will, providing a means to exclude variable lines…
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