Finally…after some years from the initial paper on the method I managed to put everything together to publish the second part of the machine-learning classifier for massive stars in nearby galaxies. This work is actually the application of the classifier to the whole sample of 26 galaxies and about 1.1 …
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 …
This is the paper that describes the ASSESS project for which I have been working since 2018 ! 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, F. Tramper, S. de Wit, E. Zapartas, …
Between 26-28 of July (2023), I managed to participate in-person the 16th Hellenic Astronomical Conference, held in Athens. I personally contributed with one talk and one poster (long gone the days that I would submit two talks!), which was part of the ASSESS group’s contribution with another two talks, and …
This is the first paper that results from my work with the ASSESS team over the last years. It focuses on the development of a machine-learning photometric classifier to characterize massive stars originating from IR (Spitzer) catalogs, which will help us understand the episodic mass loss. The first paper presents …
The week 1-5 of November 2021, I (virtually) participated to the IAU Symposium 366 on the origin of outflows in evolved stars. I had the opportunity to present our recently submitted work on a photometric machine-learning classifier.
This paper is a result of an attempt that started way back during my PhD thesis actually. back then in early 2010’s we started investigating a way to automate the spectral classification of Be X-ray binaries. The problem with these sources is that due to the strong emission in the …
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 …
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 …
Elias Kyritsis has been a student at the Physics Department of the University of Crete that I have co-supervised with Prof. Andreas Zezas since 2017. Initially as an undergraduate student he worked on the visual classification of High-Mass X-ray Binary sources in the Large Magellanic Cloud, but later on he …
