000006663 001__ 6663
000006663 005__ 20240125125602.0
000006663 0247_ $$2DOI$$a 10.48550/arXiv.2312.04721
000006663 037__ $$aSCART-2024-0041
000006663 100__ $$aVan der Swaelmen, M.
000006663 245__ $$aThe Gaia-ESO Survey: new spectroscopic binaries in the Milky Way
000006663 260__ $$c2023
000006663 520__ $$aThe Gaia-ESO Survey (GES) is a large public spectroscopic survey which acquired spectra for more than 100000 stars across all major components of the Milky Way. In addition to atmospheric parameters and stellar abundances that have been derived in previous papers of this series, the GES spectra allow us to detect spectroscopic binaries with one (SB1), two (SB2) or more (SBn ≥ 3) components. Cross-correlation functions (CCFs) have been re-computed thanks to a dozen spectral masks probing a range of effective temperatures, surface gravities and metallicities. By optimising the mask choice for a given spectrum, the new computed so-called Nacre (Narrow cross-correlation experiment) CCFs are narrower and allow to unblend more stellar components than standard masks. The Doe (Detection of Extrema) extremum-finding code then selects the individual components and provides their radial velocities. From the sample of HR10 and HR21 spectra corresponding to 37565 objects, the present study leads to the detection of 322 SB2, ten (three of them being tentative) SB3, and two tentative SB4. In particular, compared to our previous study, the Nacre CCFs allow us to multiply the number of SB2 candidates by ≈ 1.5. The colour-magnitude diagram reveals, as expected, the shifted location of the SB2 main sequence. A comparison between the SB identified in Gaia DR3 and the ones detected in the present work is performed and the complementarity of the two censuses is discussed. An application to mass-ratio determination is presented, and the mass-ratio distribution of the GES SB2 is discussed. When accounting for the SB2 detection rate, an SB2 frequency of ≈ 1.4% is derived within the present stellar sample of mainly FGK-type stars. As primary outliers identified within the GES data, SBn spectra produce a wealth of information and useful constraints for the binary population synthesis studies. 
000006663 536__ $$aPrf-2020-033_BISTRO/$$cPrf-2020-033_BISTRO/$$fPrf-2020-033_BISTRO
000006663 594__ $$aNO
000006663 6531_ $$a(stars:) binaries: spectroscopic
000006663 6531_ $$a(stars:) binaries (including multiple): close
000006663 6531_ $$atechniques: spectroscopic
000006663 6531_ $$atechniques: radial velocities
000006663 6531_ $$aAstrophysics
000006663 6531_ $$aSolar and Stellar Astrophysics
000006663 6531_ $$aAstrophysics of Galaxies; Astrophysics
000006663 6531_ $$aInstrumentation and Methods for Astrophysics 
000006663 700__ $$aMerle, T.
000006663 700__ $$aVan Eck, S.
000006663 700__ $$aJorissen, A.
000006663 700__ $$aMagrini, L.
000006663 700__ $$aRandich, S.
000006663 700__ $$aVallenari, A.
000006663 700__ $$aZwitter, T.
000006663 700__ $$aTraven, G.
000006663 700__ $$aViscasillas Vázquez, C.
000006663 700__ $$aBragaglia, A.
000006663 700__ $$aCasey, A.
000006663 700__ $$aFrasca, A.
000006663 700__ $$aJiménez-Esteban, F.
000006663 700__ $$aPancino, E.
000006663 700__ $$aWorley, C. C.
000006663 700__ $$aZaggia, S. 
000006663 773__ $$pAstronomy & Astrophysics$$y2023
000006663 8560_ $$fthibault.merle@ksb-orb.be
000006663 85642 $$ahttps://ui.adsabs.harvard.edu/abs/2023arXiv231204721V/abstract
000006663 905__ $$aaccepted to be published in
000006663 980__ $$aREFERD