192 citations · 2.1k across the 97 of their papers we have counts for
8 papers · 1 filter
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…
Interpolation of Instrument Response Functions for the Cherenkov Telescope Array in the Context of pyirf
Rune Michael Dominik, Maximilian Linhoff, Julian Sitarek
The Cherenkov Telescope Array (CTA) will be the next generation ground-based very-high-energy gamma-ray observatory, constituted by tens of Imaging Atmospheric Cherenkov Telescopes…
Performance update of an event-type based analysis for the Cherenkov Telescope Array
Juan Bernete, Orel Gueta, Tarek Hassan +3
The Cherenkov Telescope Array (CTA) will be the next-generation observatory in the field of very-high-energy (20 GeV to 300 TeV) gamma-ray astroparticle physics. The traditional ap…
Gammapy: A Python package for gamma-ray astronomy
Axel Donath, Régis Terrier, Quentin Remy +42
In this article, we present Gammapy, an open-source Python package for the analysis of astronomical -ray data, and illustrate the functionalities of its first long-term-support…
Gammapy: present status and future roadmap
B. Khélifi, R. Terrier, A. Donath +3
Since its start in 2014, the lightweight open source Python library Gammapy has come a long way to become a popular data analysis package for high-energy astrophysics. Selected as…
The ASTRI Mini-Array of Cherenkov Telescopes at the Observatorio del Teide
Scuderi S., Giuliani A., Pareschi G. +95
The ASTRI Mini-Array (MA) is an INAF project to build and operate a facility to study astronomical sources emitting at very high-energy in the TeV spectral band. The ASTRI MA consi…