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 …