The Gaia-ESO Survey: Empirical determination of the precision of stellar radial velocities and projected rotation velocities
R. J. Jackson, R. D. Jeffries, J. Lewis, S. E. Koposov, G. G. Sacco,, S. Randich, G. Gilmore, M. Asplund, J. Binney, P. Bonifacio, J. E. Drew, S., Feltzing, A. M. N. Ferguson, G. Micela, I. Neguerela, T. Prusti, H-W. Rix, A., Vallenari, E. J. Alfaro, C. Allende~Prieto

TL;DR
This paper empirically assesses the uncertainties in radial velocity and projected rotation velocity measurements from the Gaia-ESO Survey, providing models to estimate their precision based on observational parameters.
Contribution
It introduces empirical models for quantifying uncertainties in RV and v sin i measurements, accounting for factors like S/N, stellar temperature, and v sin i, with detailed parametrizations.
Findings
Uncertainties scale with S/N and v sin i
Uncertainties increase with stellar temperature
Uncertainty distributions are better modeled by Student's t-distributions
Abstract
The Gaia-ESO Survey (GES) is a large public spectroscopic survey at the European Southern Observatory Very Large Telescope. A key aim is to provide precise radial velocities (RVs) and projected equatorial velocities (v sin i) for representative samples of Galactic stars, that will complement information obtained by the Gaia astrometry satellite. We present an analysis to empirically quantify the size and distribution of uncertainties in RV and v sin i using spectra from repeated exposures of the same stars. We show that the uncertainties vary as simple scaling functions of signal-to-noise ratio (S/N) and v sin i, that the uncertainties become larger with increasing photospheric temperature, but that the dependence on stellar gravity, metallicity and age is weak. The underlying uncertainty distributions have extended tails that are better represented by Student's t-distributions than by…
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