3 papers
astro-ph.IM2025
Towards a foundation model for astrophysical source detection: An End-to-End Gamma-Ray Data Analysis Pipeline Using Deep Learning
Judit Pérez-Romero, Saptashwa Bhattacharyya, Sascha Caron +9
The increasing volume of gamma-ray data demands new analysis approaches that can handle large-scale datasets while providing robustness for source detection. We present a Deep Lear…
hep-ph2024
A comparison of Bayesian sampling algorithms for high-dimensional particle physics and cosmology applications
Joshua Albert, Csaba Balazs, Andrew Fowlie +4
For several decades now, Bayesian inference techniques have been applied to theories of particle physics, cosmology and astrophysics to obtain the probability density functions of…
physics.ins-det2023
Progress in End-to-End Optimization of Detectors for Fundamental Physics with Differentiable Programming
Max Aehle, Lorenzo Arsini, R. Belén Barreiro +27
In this article we examine recent developments in the research area concerning the creation of end-to-end models for the complete optimization of measuring instruments. The models…