Abstract

Context. The Gaia Data Release 2 (DR2) contains the first 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 first-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 Gaia 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. The radial velocities obtained for these stars were removed from DR2. The pipeline also provides a first-order estimate of the performance obtained. The overall accuracy of radial velocity measurements is around ~200–300 m s−1, and the overall precision is ~1 km s−1; it reaches ~200 m s−1 for the brightest stars.

Highlights

  • The Gaia mission (Gaia Collaboration 2016) will provide detailed phase space data for distant stars in the Milky Way galaxy, in addition to astrometry, including radial velocity for many stars (∼150 million)

  • To be treated by the spectroscopic pipeline, the telemetered Radial Velocity Spectrometer (RVS) spectra are reformatted by the initial data treatment (IDT) pipeline (Fabricius et al 2016), and so is the associated information necessary for processing the spectra, such as the detection features: time, coordinate, field of view (FoV), CCD row, solar rotation phase, onboard magnitude, the AC position of the window on the CCD, its size and truncation status, and the pre-scan pixel values necessary to estimate the electronic bias

  • In the Ingestion step (Fig. 2), the information contained in the input data that is relevant for the downstream processing is extracted and stored in the format needed by the spectroscopic pipeline data model

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Summary

Introduction

The Gaia mission (Gaia Collaboration 2016) will provide detailed phase space data for distant stars in the Milky Way galaxy, in addition to astrometry, including radial velocity for many stars (∼150 million). This paper documents the reduction process and the method used to convert raw observed stellar spectra into the radial velocities presented in the Gaia Data Release 2 (hereafter DR2; Gaia Collaboration 2018). Each source will be observed many times during the nominal 60 months of the mission, the expected number of transits per star in the RVS being on average around 40. The resulting low signal-to-noise ratio (S/N) per pixel for stars near the limiting magnitude of GRVS ∼ 16 implies that the combination of many transit spectra will be necessary over the entire mission lifetime for the radial velocities of these stars to be measured. This internal GRVS magnitude, computed based on the flux integrated in the arneldyiangcaloinbraVtedanrdefeIreonbcseermvaagtinointus doef(GabrReoVf uSt, 113 000 HIPPARCOS stars (see Sects. 4.6 and 6.3)

Purpose of the spectroscopic pipeline
Pipeline overview
Data products in DR2
Extraction of the input data information
Selections applied to the Input data
Auxiliary radial velocities of standard stars
Auxiliary radial velocities of validation stars
Auxiliary GRVS
Determination of the dispersion function
Automated verification
Cle This se the RV
Atmospheric parameters and template selection
Deriving the single-transit radial velocity
Single and double stars per transit analysis
Integrator
Flagging
Dependence on the instrumental configuration of CU6G
Comparison with the auxiliary catalogues
Combining the single-transit radial velocities
Overall precision
Findings
10. Conclusions
Full Text
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