Gaia Data Release 2: Processing the spectroscopic data
Abstract
The Gaia Data Release 2 contains the 1st release of radial velocities complementing the kinematic data of a sample of about 7 million relatively bright, late-type stars. Aims: This paper provides a detailed description of the Gaia spectroscopic data processing pipeline, and of the approach adopted to derive the radial velocities presented in DR2. Methods: The pipeline must perform four main tasks: (i) clean and reduce the spectra observed with the Radial Velocity Spectrometer (RVS); (ii) calibrate the RVS instrument, including wavelength, straylight, line-spread function, bias non-uniformity, and photometric zeropoint; (iii) extract the radial velocities; and (iv) verify the accuracy and precision of the results. The radial velocity of a star is obtained through a fit of the RVS spectrum relative to an appropriate synthetic template spectrum. An additional task of the spectroscopic pipeline was to provide 1st-order estimates of the stellar atmospheric parameters required to select such template spectra. We describe the pipeline features and present the detailed calibration algorithms and software solutions we used to produce the radial velocities published in DR2. Results: The spectroscopic processing pipeline produced median radial velocities for Gaia stars with narrow-band near-IR magnitude Grvs < 12 (i.e. brighter than V~13). Stars identified as double-lined spectroscopic binaries were removed from the pipeline, while variable stars, single-lined, and non-detected double-lined spectroscopic binaries were treated as single stars. The scatter in radial velocity among different observations of a same star, also published in DR2, provides information about radial velocity variability. For the hottest (Teff > 7000 K) and coolest (Teff < 3500 K) stars, the accuracy and precision of the stellar parameter estimates are not sufficient to allow selection of appropriate templates. [Abridged]
Cite
@article{arxiv.1804.09371,
title = {Gaia Data Release 2: Processing the spectroscopic data},
author = {P. Sartoretti and D. Katz and M. Cropper and P. Panuzzo and G. M. Seabroke and Y. Viala and K. Benson and R. Blomme and G. Jasniewicz and A. Jean-Antoine and H. Huckle and M. Smith and S. Baker and F. Crifo and Y. Damerdji and M. David and C. Dolding and Y. Fremat and E. Gosset and A. Guerrier and L. P. Guy and R. Haigron and K. Janssen and O. Marchal and G. Plum and C. Soubiran and F. Thevenin and M. Ajaj and C. Allende Prieto and C. Babusiaux and S. Boudreault and L. Chemin and C. Delle Luche and C. Fabre and A. Gueguen and N. C. Hambly and Y. Lasne and F. Meynadier and F. Pailler and C. Panem and F. Riclet and F. Royer and G. Tauran and C. Zurbach and T. Zwitter and F. Arenou and A. Gomez and V. Lemaitre and N. Leclerc and T. Morel and U. Munari and C. Turon and M. Zerjal},
journal= {arXiv preprint arXiv:1804.09371},
year = {2018}
}
Comments
25 pages, 17 figures, accepted for publication in A&A as part of the Gaia 2nd data release special issue