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Search for new Galactic Wolf-Rayet stars using Gaia DR3. I. Candidate selection and the follow-up of the bright sample by Mulato, Lionel; Merc, Jaroslav; Charbonnel, Stéphane; Garde, Olivier; Dû, Pascal Le; Petit, Thomas is a scholarly article available to read on EtoBox.

What is Search for new Galactic Wolf-Rayet stars using Gaia DR3. I. Candidate selection and the follow-up of the bright sample about?

Gaia DR3, released in June 2022, included low-resolution XP spectra that have been used for the classification of various types of emission-line objects through machine-learning techniques. The Gaia Extended Stellar Parametrizer for Emission-Line Stars (ESP-ELS) algorithm identified 565 sources as potential Wolf-Rayet (WR) stars. Over half of them were already known as WR stars in the Milky Way and Magellanic Clouds. This study aimed to utilize Gaia DR3 data to identify new Galactic WR stars. We extracted all sources classified as WC or WN type stars by the ESP-ELS algorithm from the Gaia catalog. By applying judicious 2MASS color selection criteria, leveraging Gaia H$\alpha$ measurements, and filtering out objects already cataloged in various databases, we selected 37 bright candidates ($G \leq $ 16 mag) and 22 faint candidates ($G > $ 16 mag). Spectroscopic follow-up observations of these candidates were conducted using the 2SPOT facilities in Chile and France, as well as 1-m C2PU's Epsilon telescope at the Calern Observatory. This paper focuses on the brighter sample. Among the 37 targets, we confirmed 17 and 16 new Galactic WC and WN type WR stars, respectively. Three of them w

Author

Mulato, Lionel; Merc, Jaroslav; Charbonnel, Stéphane; Garde, Olivier; Dû, Pascal Le; Petit, Thomas

Published

2025

Language

EN