59 citations · 169 across the 11 of their papers we have counts for
11 papers
A machine-learning photometric classifier for massive stars in nearby galaxies II. The catalog
G. Maravelias, A. Z. Bonanos, K. Antoniadis +8
Mass loss is a key aspect of stellar evolution, particularly in evolved massive stars, yet episodic mass loss remains poorly understood. To investigate this, we need evolved massiv…
Episodic mass loss in the very luminous red supergiant [W60] B90 in the Large Magellanic Cloud
G. Munoz-Sanchez, S. de Wit, A. Z. Bonanos +6
This study delves into [W60] B90, one of the most luminous and extreme Red Supergiants (RSGs) in the Large Magellanic Cloud (LMC), aiming to search for evidence of episodic mass lo…
Investigating episodic mass loss in evolved massive stars: II. Physical properties of red supergiants at subsolar metallicity
S. de Wit, A. Z. Bonanos, K. Antoniadis +8
Mass loss during the red supergiant (RSG) phase plays a crucial role in the evolution of an intermediate massive star, however, the underlying mechanism remains unknown. We aim to…
Establishing a mass-loss rate relation for red supergiants in the Large Magellanic Cloud
K. Antoniadis, A. Z. Bonanos, S. de Wit +3
The high mass-loss rates of red supergiants (RSGs) drastically affect their evolution and final fate, but their mass-loss mechanism remains poorly understood. Various empirical pre…
Investigating episodic mass loss in evolved massive stars: I. Spectroscopy of dusty massive stars in ten southern galaxies
A. Z. Bonanos, F. Tramper, S. de Wit +7
The ASSESS project aims to determine the role of episodic mass-loss in the evolution of massive stars. As a first step, we construct a catalog of spectroscopically identified dusty…
Introducing the ASSESS project: Episodic Mass Loss in Evolved Massive Stars -- Key to Understanding the Explosive Early Universe
A. Z. Bonanos, G. Maravelias, M. Yang +6
Episodic mass loss is not understood theoretically, neither accounted for in state-of-the-art models of stellar evolution, which has far-reaching consequences for many areas of ast…
Discovering new B[e] supergiants and candidate Luminous Blue Variables in nearby galaxies
Grigoris Maravelias, Stephan de Wit, Alceste Z. Bonanos +3
Mass loss is one of the key parameters that determine stellar evolution. Despite the progress we have achieved over the last decades we still cannot match the observational derived…
Evolved Massive Stars at Low-metallicity V. Mass-Loss Rate of Red Supergiant Stars in the Small Magellanic Cloud
Ming Yang, Alceste Z. Bonanos, Biwei Jiang +17
We assemble the most complete and clean red supergiant (RSG) sample (2,121 targets) so far in the Small Magellanic Cloud (SMC) with 53 different bands of data to study the MLR of R…
Properties of luminous red supergiant stars in the Magellanic Clouds
S. de Wit, A. Z. Bonanos, F. Tramper +5
There is evidence that some red supergiants (RSGs) experience short lived phases of extreme mass loss, producing copious amounts of dust. These episodic outburst phases help to str…
Using machine learning to investigate the populations of dusty evolved stars in various metallicities
Grigoris Maravelias, Alceste Z. Bonanos, Frank Tramper +7
Mass loss is a key property to understand stellar evolution and in particular for low-metallicity environments. Our knowledge has improved dramatically over the last decades both f…
A machine-learning photometric classifier for massive stars in nearby galaxies I. The method
Grigoris Maravelias, Alceste Z. Bonanos, Frank Tramper +3
(abridged) Mass loss is a key parameter in the evolution of massive stars, with discrepancies between theory and observations and with unknown importance of the episodic mass loss.…