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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A10511293" target="_blank" >RIV/00216208:11320/25:10511293 - isvavai.cz</a>

Výsledek na webu

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=iV8XDZ_u9Q" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=iV8XDZ_u9Q</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1051/0004-6361/202453359" target="_blank" >10.1051/0004-6361/202453359</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

Context. 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. Aims. We utilized Gaia DR3 data to identify new Galactic WR stars. Methods. We extracted all sources from the Gaia catalog classified as WC- or WN-type stars by the ESP-ELS algorithm. 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 &lt;= 16 mag) and 22 faint candidates (G &gt; 16 mag). Spectroscopic follow-up observations of these candidates were conducted using the 2SPOT facilities in Chile and France, as well as the 1 m C2PU&apos;s Epsilon telescope at the Calern Observatory. Results. 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 were recently reported as new WR stars in an independent study. Conclusions. The Gaia mission provides a valuable resource for identifying WR stars missed in earlier surveys. While this work concentrated on a relatively small starting sample provided by the ESP-ELS algorithm, our findings highlight the potential for refining selection criteria to identify additional candidates not included in the outputs of the algorithm. Furthermore, the observation program underscores the utility of small telescopes in acquiring initial spectral data for sources with magnitudes up to G similar to 16 mag.

Název v anglickém jazyce

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

Popis výsledku anglicky

Context. 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. Aims. We utilized Gaia DR3 data to identify new Galactic WR stars. Methods. We extracted all sources from the Gaia catalog classified as WC- or WN-type stars by the ESP-ELS algorithm. 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 &lt;= 16 mag) and 22 faint candidates (G &gt; 16 mag). Spectroscopic follow-up observations of these candidates were conducted using the 2SPOT facilities in Chile and France, as well as the 1 m C2PU&apos;s Epsilon telescope at the Calern Observatory. Results. 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 were recently reported as new WR stars in an independent study. Conclusions. The Gaia mission provides a valuable resource for identifying WR stars missed in earlier surveys. While this work concentrated on a relatively small starting sample provided by the ESP-ELS algorithm, our findings highlight the potential for refining selection criteria to identify additional candidates not included in the outputs of the algorithm. Furthermore, the observation program underscores the utility of small telescopes in acquiring initial spectral data for sources with magnitudes up to G similar to 16 mag.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10308 - Astronomy (including astrophysics,space science)

Projekt

<a href="/cs/project/GN24-10608O" target="_blank" >GN24-10608O: Výzkum populací symbiotických systémů a příbuzných dvojhvězd s červenými obry</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Astronomy &amp; Astrophysics

ISSN

0004-6361

e-ISSN

1432-0746

Svazek periodika

695

Číslo periodika v rámci svazku

brezen

Stát vydavatele periodika

FR - Francouzská republika

Počet stran výsledku

18

Strana od-do

A227

Kód UT WoS článku

001449775600012

EID výsledku v databázi Scopus

2-s2.0-105001034322