activity
20232026
most citedExtracting the gamma-ray source-count distribution below the Fermi-LAT detection limit with deep learning

6 citations · 9 across the 6 of their papers we have counts for

collaborators
Showing 2023Show all

2 papers · 1 filter

astro-ph.HE2023

Deepening gamma-ray point-source catalogues with sub-threshold information

Aurelio Amerio, Francesca Calore, Pasquale Dario Serpico +1

We propose a novel statistical method to extend Fermi-LAT catalogues of high-latitude -ray sources below their nominal threshold. To do so, we rely on a recent determination of…

astro-ph.CO2023★ 6 cited

Extracting the gamma-ray source-count distribution below the Fermi-LAT detection limit with deep learning

Aurelio Amerio, Alessandro Cuoco, Nicolao Fornengo

We reconstruct the extra-galactic gamma-ray source-count distribution, or , of resolved and unresolved sources by adopting machine learning techniques. Specifically, we trai…