Maravelias et al. 2022: A machine-learning photometric classifier for massive stars in nearby galaxies I. The method

A machine-learning photometric classifier for massive stars in nearby galaxies I. The method Grigoris Maravelias, Alceste Z. Bonanos, Frank Tramper, Stephan de Wit, Ming Yang, Paolo Bonfini Context. Mass loss is a key parameter in the evolution of massive stars. Despite the recent progress in the theoretical understanding of how …

Kyritsis et al. 2021: A new automated tool for the spectral classification of OB stars

A new automated tool for the spectral classification of OB stars E. Kyritsis, G. Maravelias, A. Zezas, P. Bonfini, K. Kovlakas, P. Reig (abridged) We develop a tool for the automated spectral classification of OB stars according to their sub-types. We use the regular Random Forest (RF) algorithm, the Probabilistic …

Talks from the 15th Hellenic Astronomical Conference

Would like to learn what we have been doing so far?

Then you can take a look at our talks from the 15th Hellenic Astronomical Conference that became recently available online.

“Applying machine-learning methods to build a photometric classifier for massive stars in nearby galaxies”
by Grigoris Maravelias
“Spectral analysis of evolved massive stars in the SMC and LMC”
by Stephan de Wit
“Evolved massive stars in the Magellanic Clouds”
by Ming Yang
“Bouncing against the Yellow Void – the case of rho Cas”
by Grigoris Maravelias (poster)

Machine-learning workshop at NOA

On December 13th (2019) we organized a machine-learning workshop at the premises of the IAASARS/NOA, at Penteli (Greece). The goal of this particular workshop was to enhance the interaction between the researchers of the National Observatory of Athens and the Athena Research Center. The former presented challenges from their own fields …