Kostas has been actively working on determining the mass loss rate for Red Supergiants across various metallicities. We had plenty of these sources for NGC 6822 so it was natural to include them in a straight comparison with SMC, LMC and the Milky Way. However, each of these galaxies have …
During the ASSESS project we carried out tons of observations and careful analysis in order to identify mass-losing evolved stars. At the same time though, Manos Zapartas was taking advantage of the new red supergiant mass loss fits we managed and put them into some perspective with theory. Equipped with …
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 …
