"Toward more realistic Star Forming galaxy models, using Machine Learning technique”

Most of the models build to compute the nebular emission of Star Forming Galaxies are obtained using very simple descriptions of the gas and its photoionizing source. In this talk I will present a new method that takes into account a more realistic description of the galaxies, in terms of sums of hundreds or thousands of individual HII regions. The emission of each region is very quickly obtained by the use of machine learning algorithms (Artificial Neural Networks). I will discuss some details of the modeling, and present preliminary results, involving methods to determine abundances of the galaxies. Comparisons to observed surveys are also discussed.

Transmisión en vivo por: https://bit.ly/YouTube_ICF

Participante: Dr. Christophe Morisset

Institución: Instituto de Astronomía | Instituto de Ciencias Físicas

Fecha y hora: Este evento terminó el Miércoles, 22 de Noviembre de 2023