International Conference on Machine Learning for Astrophysics - ML4Astro

Session

Deep Learning

30 May 2022, 16:10

Catania

Conveners

Deep Learning: Session 1

• Andrea DeMarco (University of Malta)

8. A Convolutional Neural Network to characterise the internal structure of stars

Juan Carlos Suárez (Física Teórica y del Cosmos Dept. University of Granada)

30/05/2022, 16:10

Oral Presentation

In this work we use a convolutional neural network (CNN) to confidently retrieve the mean density and surface gravity of stars from 1.5 to 3 times more massive than the Sun. These physical quantities are key to better understand the structure of these stars as well as the physical processes occurring during their evolution.

Most of A-F stars exhibit variations in their luminosity with time...

7. Deep learning searching for cluster galaxies from multi-band imaging and extensive spectroscopy

Giuseppe Angora (Istituto Nazionale di Astrofisica (INAF))

30/05/2022, 16:30

Oral Presentation

With the upcoming of next-generation large and data-intensive surveys, the development of methods able to automatically extract information from the vast amount of data has exponentially grown up in the last decade. In this work, we explore the classification capabilities of Convolutional Neural Networks to identify galaxy Cluster Members, by disentangling them from foreground and background...