Issue |
A&A
Volume 695, March 2025
|
|
---|---|---|
Article Number | A198 | |
Number of page(s) | 16 | |
Section | Stellar atmospheres | |
DOI | https://doi.org/10.1051/0004-6361/202452491 | |
Published online | 21 March 2025 |
X-Shooting ULLYSES: Massive stars at low metallicity
XI. Pipeline-determined physical properties of Magellanic Cloud OB stars
1
Astrophysics Research Cluster, School of Mathematical and Physical Sciences, University of Sheffield,
Hicks Building, Hounsfield Road,
Sheffield
S3 7RH,
UK
2
School of Chemical, Materials and Biological Engineering, University of Sheffield,
Sir Robert Hadfield Building, Mappin Street,
Sheffield
S1 3JD,
UK
3
Space Telescope Science Institute,
3700 San Martin Drive,
Baltimore,
MD
21218,
USA
4
Institute of Astronomy, KU Leuven,
Celestijnenlaan 200D,
3001
Leuven,
Belgium
5
Departamento de Astrofísica, Centro de Astrobiología, (CSIC-INTA),
Ctra. Torrejón a Ajalvir, km 4,
28850 Torrejón de Ardoz,
Madrid,
Spain
6
Armagh Observatory and Planetarium, College Hill,
BT61 9DG
Armagh, Northern Ireland,
UK
7
Astronomical Institute Anton Pannekoek, Amsterdam University,
Science Park 904,
1098 XH
Amsterdam,
The Netherlands
8
Astronomisches Rechen-Institut, Zentrum für Astronomie der Universität Heidelberg,
Mönchhofstr. 12–14,
69120
Heidelberg,
Germany
★ Corresponding author; paul.crowther@sheffield.ac.uk
Received:
4
October
2024
Accepted:
25
January
2025
Context. The proximity and low dust extinction of the Magellanic Clouds provides an ideal environment for metal-poor massive stars to be studied in detail. The Hubble Space Telescope ULLYSES initiative has provided exquisite ultraviolet spectroscopy of a large sample of OB stars in the Magellanic Clouds, and its legacy value has been enhanced through the acquisition of optical VLT/XShooter spectroscopy (XShootU).
Aims. We aim to determine the spectral types and physical properties of 122 LMC and 103 SMC OB stars observed via XShootU. Physical parameters are required for these to serve as templates in spectral libraries of metal-poor massive stars. We also aim to identify double-lined binaries and OeBe stars for which analysis requires non-standard treatment.
Methods. We have applied a pipeline designed to analyse large spectroscopic samples of hot luminous stars to XShootU spectroscopic datasets, together with grids of synthetic model spectra computed with the non-Local Thermodynamic Equilibrium atmospheric code FASTWIND at LMC and SMC metallicities.
Results. We have determined physical and wind properties of 97 LMC and 77 SMC massive stars, ranging from O2 to B9 subtypes, representing the majority of the XShootU OB sample (OeBe and candidate SB2 systems are excluded). Results are broadly in agreement with previous optical spectroscopic studies, with evolutionary masses spanning 12–117 M⊙ in the LMC and 11–74 M⊙ in the SMC. We have determined a revised Teff-spectral type calibration for Magellanic Cloud stars, identified stars with peculiar radial velocities, and compared wind properties of high luminosity O stars with dense winds, revealing ∼ 0.27 dex higher wind momenta of LMC stars with respect to SMC counterparts. Incorporating the recent empirical metallicity dependence of Z0.22 for wind velocities, this suggests a mass-loss dependence of Z0.5 for luminous O stars. Studies incorporating ultraviolet mass-loss diagnostics are required for OB stars with weak winds and/or low luminosities.
Key words: stars: atmospheres / stars: early-type / stars: massive / stars: mass-loss / stars: winds, outflows
© The Authors 2025
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This article is published in open access under the Subscribe to Open model. Subscribe to A&A to support open access publication.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.