about Grigoris Maravelias
Tag: <span>red supergiant</span>

Tag: red supergiant

New paper: de Wit et al. 2024: Investigating episodic mass loss in evolved massive stars: II. Physical properties of red supergiants at subsolar metallicity

Stephan extends the work he has performed previously in the Magellanic Clouds to RSGs identified in the ASSESS project in galaxies at subsolar metallicity. 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, E. Zapartas, …

New paper: Establishing a mass-loss rate relation for red supergiants in the Large Magellanic Cloud

This is a paper led by Kostas from the ASSESS team where we investigated the mass-loss in LMC/s RSGs. Interestingly this made its way to the astrobites site. Establishing a mass-loss rate relation for red supergiants in the Large Magellanic Cloud K. Antoniadis, A.Z. Bonanos, S. de Wit, E. Zapartas, …

New Paper: Evolved Massive Stars at Low-metallicity V. Mass-Loss Rate of Red Supergiant Stars in the Small Magellanic Cloud

Evolved Massive Stars at Low-metallicity V. Mass-Loss Rate of Red Supergiant Stars in the Small Magellanic Cloud Ming Yang (杨明), Alceste Z. Bonanos, Biwei Jiang (姜碧沩), Emmanouil Zapartas, Jian Gao (高健), Yi Ren(任逸), Man I Lam (林敏仪), Tianding Wang (王天丁), Grigoris Maravelias, Panagiotis Gavras, Shu Wang (王舒), Xiaodian Chen (陈孝钿), …

New Paper: Properties of luminous red supergiant stars in the Magellanic Clouds

Properties of luminous red supergiant stars in the Magellanic Clouds S. de Wit, A.Z. Bonanos, F. Tramper, M. Yang, G. Maravelias, K. Boutsia, N. Britavskiy, and E. Zapartas There is evidence that some red supergiants (RSGs) experience short lived phases of extreme mass loss, producing copious amounts of dust. These …

New paper: Using machine learning to investigate the populations of dusty evolved stars in various metallicities

This is actually a preview of what will follow after the first paper of the machine-learning classifier. We put it into action to get predictions for a number of galaxies and we start exploring the results. Of more interest is the fractions of the populations with metallicity, although a more …

EAS 2021 poster contributions

Three poster contributions during EAS 2021 with the following … statistics: all of them on massive stars,  two within the framework of the ASSESS project, and two on machine-learning applications. 1. Applying machine-learning methods to build a photometric classifier for massive stars in nearby galaxies Grigoris Maravelias, Alceste Bonanos, Frank …

New Paper: Evolved Massive Stars at Low-metallicity IV. Using 1.6μm “H-bump” to identify red supergiant stars: a case study of NGC 6822

Evolved Massive Stars at Low-metallicity IV.Using 1.6μm “H-bump” to identify red supergiant stars:a case study of NGC 6822 Ming Yang, Alceste Z. Bonanos, Biwei Jiang, Man I Lam, Jian Gao, Panagiotis Gavras, Grigoris Maravelias, Shu Wang, Xiao-Dian Chen, Frank Tramper, Yi Ren, Zoi T. Spetsieri Abstract We present a case …