Hostname: page-component-cd9895bd7-dk4vv Total loading time: 0 Render date: 2024-12-24T01:59:56.437Z Has data issue: false hasContentIssue false

Detection of spectroscopic binaries: lessons from the Gaia-ESO survey

Published online by Cambridge University Press:  07 March 2018

Mathieu Van der Swaelmen
Affiliation:
Institut d'Astronomie et d'Astrophysique, Université Libre de Bruxelles, Belgium email: [email protected]
Thibault Merle
Affiliation:
Institut d'Astronomie et d'Astrophysique, Université Libre de Bruxelles, Belgium email: [email protected]
Sophie Van Eck
Affiliation:
Institut d'Astronomie et d'Astrophysique, Université Libre de Bruxelles, Belgium email: [email protected]
Alain Jorissen
Affiliation:
Institut d'Astronomie et d'Astrophysique, Université Libre de Bruxelles, Belgium email: [email protected]
Tomaž Zwitter
Affiliation:
Faculty of Mathematics and Physics, University of Ljubljana, Slovenia
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

The Gaia-ESO survey (GES; Gilmore et al. (2012), Randich et al. (2013)) is a spectroscopic survey complementing the Gaia mission to bring accurate radial velocities and chemical abundances for 105 stars. Merle et al. (submitted to A&A; see also this volume) developped a tool (DOE) to detect multiple peaks in the cross-correlation functions (CCFs) of GES spectra. Using the GIRAFFE HR10 and HR21 settings, we were able to compare the efficiency of our SB detection tool depending on the wavelength range and resolution. We show that a careful design of CCF masks can improve the detection rate in the HR21 settings. HR21 spectra are similar to the ones produced by the RVS spectrograph of the Gaia mission, though the lower resolution of RVS spectra may result in a lower detection efficiency than the case of HR21. Analysis of RVS spectra in the context of spectroscopic binaries can take advantage of the lessons learnt from the GES to maximize the detection rate.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2018 

References

Gilmore, G., Randich, S. et al. 2012, The Messenger, 25, 147 Google Scholar
Merle, T., Van Eck, S., Jorissen, A., Van der Swaelmen, M. et al. 2017, A&A, submittedGoogle Scholar
Randich, S., Gilmore, G., & Gaia-ESO Consortium, 2013, The Messenger, 47, 154 Google Scholar