Publications

  1. Antoniadis et al. 2025: Investigating the metallicity dependence of the mass-loss rate relation of red supergiants
  2. Bodensteiner et al. 2025: Binarity at Low Metallicity (BLOeM) — Multiplicity properties of Oe and Be stars
  3. Zapartas et al. 2024: The effect of mass loss in models of red supergiants in the Small Magellanic Cloud
  4. Muñoz-Sanchez et al. 2024b: The dramatic transition of the extreme Red Supergiant WOH G64 to a Yellow Hypergiant
  5. Munoz-Sanchez et al. 2024: Episodic mass loss in the very luminous red supergiant [W60] B90 in the Large Magellanic Cloud
  6. de Wit et al. 2024: Investigating episodic mass loss in evolved massive stars: II. Physical properties of red supergiants at subsolar metallicity
  7. Antoniadis et al. 2024: Establishing a mass-loss rate relation for red supergiants in the Large Magellanic Cloud
  8. Bonanos et al. 2023: Investigating episodic mass loss in evolved massive stars: I. Spectroscopy of dusty massive stars in ten southern galaxies
  9. Bostroem et al. 2023: Early Spectroscopy and Dense Circumstellar Medium Interaction in SN 2023ixf
  10. Xing et al. 2023: From ZAMS to Merger: Detailed Binary Evolution Models of Coalescing Neutron Star-Black Hole Systems at Solar Metallicity
  11. Siegel et al. 2023: Investigating the Lower Mass Gap with Low-mass X-Ray Binary Population Synthesis
  12. Bonanos et al. 2023: Introducing the ASSESS project: Episodic Mass Loss in Evolved Massive Stars – Key to Understanding the Explosive Early Universe
  13. Maravelias et al. 2023: Discovering New B[e] Supergiants and Candidate Luminous Blue Variables in Nearby Galaxies
  14. Vink et al. 2023: X-Shooting ULLYSES: massive stars at low metallicity I. Project Description
  15. Yang et al. 2023: Evolved Massive Stars at Low-metallicity V. Mass-Loss Rate of Red Supergiant Stars in the Small Magellanic Cloud
  16. Kraus et al. 2022: Environments of evolved massive stars – evidence for episodic mass ejections
  17. de Wit et al. 2022: Properties of luminous red supergiants
  18. Maravelias et al. 2022: A machine-learning photometric classifier for massive stars in nearby galaxies I. The method
  19. Maravelias & Kraus 2022: Bouncing against the Yellow Void — exploring the outbursts of ρ Cas from visual observations
  20. Kyritsis et al. 2021: A new automated tool for the spectral classification of OB stars
  21. Yang et al. 2021b: Evolved Massive Stars at Low-metallicity IV. Using 1.6μm “H-bump” to identify red supergiant stars: a case study of NGC 6822
  22. Yang et al. 2021: Evolved Massive Stars at Low-metallicity III. A Source Catalog for the Large Magellanic Cloud
  23. Yang et al. 2020: Evolved Massive Stars at Low-metallicity II. Red Supergiant Stars in the Small Magellanic Cloud
  24. Yang et al. 2019: Evolved massive stars at low-metallicity. I. A source catalog for the Small Magellanic Cloud
  25. Yang et al. 2018: Red supergiant stars in the Large Magellanic Cloud. II. Infrared properties and mid-infrared variability