Austrian Early Career Conference 2024

Contribution:
Talk

Authors:
P. Aschenbrenner

Affiliations:
Universität Innsbruck

Title:
Quantitative Spectroscopy of OB-type Stars with Machine Learning

Abstract:
OB-type stars are of great importance for a detailed understanding of galaxy formation and evolution. Due to their high luminosity, these stars can be observed not only in our own galaxy but even outside the local group. The only information we obtain from these objects is the light they emit. Nevertheless, it is possible via quantitative spectroscopy to study the spectra and to determine the physical and chemical properties of stars via a hybrid non-LTE (non-local thermodynamic equilibrium) method. I mainly focus on stars with spectral types ranging from B2 to O9. They have weak stellar winds and show strong metal absorption lines in the optical part of their spectrum. To handle the large amount of publicly available data nowadays, I employ different machine learning techniques to simplify and automate the analysis process.