International Conference on Machine Learning for Astrophysics 3rd Ed. - ML4ASTRO3

Session

Astroparticles

1 Sept 2026, 09:00

Aula Prima (University of Malta)

18. [INVITED] Machine Learning and Deep Learning in Astroparticle Physics: From Cosmic Rays to Neutrino and Gamma-Ray Astronomy

Yvonne Becherini

01/09/2026, 09:00

19. From FermiLAT Unassociated Sources to Pulsar Discoveries: A Hierarchical Deep Learning 1DCNN Approach for Spectral Classification

Cristian Pozo González

01/09/2026, 09:40

The Fermi Large Area Telescope (LAT) has significantly advanced our understanding of the high-energy gamma-ray sky, yet nearly one third of the sources in the Fourth Fermi-LAT Source Catalog (4FGL) remain unassociated with known astrophysical objects. Traditional machine learning approaches used to classify these sources typically treat spectral features as independent tabular variables and...

20. Prompt GRB classification through waterfalls and deep learning

Nicolò Cibrario

01/09/2026, 10:00

Gamma-ray bursts (GRBs) are among the most energetic phenomena in the Universe and provide a unique laboratory for physics under extreme conditions. Rapid classification of GRBs based on their prompt emission is essential to guide timely multi-wavelength and multi-messenger follow-up observations.
In this work, we present a data-driven pipeline for GRB classification based on observations...

21. AI-based identification of high-redshift Gamma-ray Burst afterglows in Fermi-LAT observations

Riccardo Martinelli

01/09/2026, 10:20

The detection of high-redshift (high-z) Gamma-ray Bursts (GRBs) can enhance our understanding of early universe phenomena, although detecting them in gamma-rays is challenging due to the sensitivity of current telescopes in this energy range.

We present a data-driven methodology based on an Artificial intelligence (AI) approach to identify faint high-z GRB signals in Fermi Large Area...

22. IROS Diffusion Imaging for the LEM-X Observatory

Edoardo Giancarli (Istituto Nazionale di Astrofisica (INAF))

01/09/2026, 11:10

The LEM-X observatory is a proposed lunar coded-mask telescope for wide-field monitoring of steady and transient sources in the (2–50 keV) range, with a pathfinder under development with slated launch in the early 2030s [1]. Coded-mask imagers represent essential tools in high energy astrophysics, providing all-sky cover with respect to narrow FoV free-flier telescopes. However, these systems...

23. Classification of the Variability Patterns of the Black Hole Binary GRS 1915+105 Using Deep Learning

Kenji Yoshida

01/09/2026, 11:30

The black hole binary GRS 1915+105, a typical microquasar, is known for its unique X-ray variability, which can reveal critical insights into black hole physics. Belloni et al. (2000) indicated that it is possible to classify its remarkable variability into twelve classes. This classification provides a foundation for exploring the physical phenomena underlying these variations, which can...