Participating at the Summer School in Statistics for Astronomers XVII

For the 17th year, Penn State’s Center for Astrostatistics offered its week-long Summer School in statistical methodology for astronomy. The School provides an intensive program in statistical inference covering topics such as principles of probability and inference, regression and model selection, bootstrap resampling, multivariate clustering and classification, Bayesian data analysis, …

Seminar for TLS Tautenburg

Grigoris got an invitation in March to give a talk to the Thüringer Landessternwarte Tautenburg, scheduled for June 21 (the summer solstice 2022). With the title “The ASSESS classifier: a machine-learning tool to uncover populations of evolved massive stars in nearby galaxies” he gave an introduction to the massive stars …

ASSESS team joined the IAUS 361 in Ireland

The IAU Symposium 361: “Massive Stars Near and Far” was held in Ballyconnell, Ireland in the week of 8-13 May 2022. That was our first in-person meeting since the start of the pandemic, and the ASSESS team took advantage of the opportunity to travel to Ireland to present our work. …

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 …