Speaker
Description
The detection of high-redshift (high-z) Gamma-ray Bursts (GRBs) can significantly improve our understanding of the early Universe by providing tighter constraints on cosmological parameters and valuable insights into the formation of the first stars and galaxies. However, detecting them in gamma-rays is challenging due to the sensitivity of current telescopes in this energy range. This contribution will provide an overview of the theoretical and observational properties of GRBs, with particular focus on high-z events, and present a data-driven methodology based on Artificial Intelligence techniques developed within my PhD project to identify faint high-z GRB afterglow signals in Fermi-LAT data, with a focus on the 100 MeV–1 GeV energy range.