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), …
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 …
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 …
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 …
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 …
Although the summer has finished long ago, only now I got some time to update on summer activities, i.e. a number of conferences I attended and contributed to. Since 2018, I have been working in an automated classifier for massive stars in nearby galaxies, using photometric datasets. These have been …
