18 citations · 66 across the 9 of their papers we have counts for
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astro-ph.IM2025
X-ray spectral fitting with Monte Carlo Dropout Neural Networks
A. Tutone, A. Anitra, E. Ambrosi +11
We present a novel approach using neural networks to recover X-ray spectral model parameters and quantify uncertainties, balancing accuracy and computational efficiency against tra…
astro-ph.IM2023★ 11 cited
Developments and results in the context of the JEM-EUSO program obtained with the ESAF Simulation and Analysis Framework
S. Abe, J. H. Adams, D. Allard +172
JEM--EUSO is an international program for the development of space-based Ultra-High Energy Cosmic Ray observatories. The program consists of a series of missions which are either u…
astro-ph.IM2023
EUSO-OffLine: A Comprehensive Simulation and Analysis Framework
EUSO collaboration
The complexity of modern cosmic ray observatories and the rich data sets they capture often require a sophisticated software framework to support the simulation of physical process…