ASSESS group meeting photos
The ASSESS team has weekly meetings since its assembly, without losing the momentum due to the pandemic. And it is becoming more vital as the group has expanded!
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 …
New PostDoc joins the team
We welcome onboard the ASSESS team Manos Zapartas, who specializes in stellar evolution and will contribute to the theoretical interpretation.
New PhD students
Evangelia Christodoulou and Konstantinos Antoniadis are the two new PhD students that joined our group on February. Both of them will work on the analysis of the data collected over the previous successful runs in order to understand better the episodic mass loss.
Observing time granted!
Around Christmas of 2021 Santa brought us two gifts, one just before the holidays and another … just after! We are definitely not disappointed! Two of our proposals have been granted observing time (while another one at ESO didn’t make it this time). We got 4.2 h with FORS2 multislit …
Maravelias & Kraus 2022: Bouncing against the Yellow Void — exploring the outbursts of ρ Cas from visual observations
Bouncing against the Yellow Void — exploring the outbursts of ρ Cas from visual observations Grigoris Maravelias and Michaela Kraus Massive stars are rare but of paramount importance for their immediate environment and their host galaxies. They lose mass from their birth through strong stellar winds up to their spectacular …
Group changes !
Recently we had a few changes in our group: Frank moved to the Institute of Astronomy, KU Leuven, while Gonzalo Muñoz Sanchez joined the team as a new PhD student.
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 …
ASSESS Team on IAUS 366 on the Origin of Outflows in Evolved Stars
The ASSESS team is joining the IAUS 366 “On the Origin of Outflows in Evolved Stars”, organized virtually from Nov 1-5. Alceste will give an overview (Wednesday, Nov. 3, @12:20 UTC) of the ASSESS project followed by the advance we have achieved over the last years, as first results are …
PhD position on characterizing evolved, dusty massive stars in nearby galaxies II
The Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing (IAASARS) of the National Observatory of Athens invites applications for 1 PhD position on characterizing evolved, dusty massive stars in nearby galaxies. The aim of the project is to determine whether episodic mass loss is a dominant process in the …