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hep-ex2025★ 1 cited
Contrastive Learning for Robust Representations of Neutrino Data
Alex Wilkinson, Radi Radev, Saul Alonso-Monsalve
In neutrino physics, analyses often depend on large simulated datasets, making it essential for models to generalise effectively to real-world detector data. Contrastive learning,…
hep-ex2024
Differentiable nuclear deexcitation simulation for low energy neutrino physics
Pablo Barham Alzás, Radi Radev
Neutrino-nucleus interactions play an important role in present and future neutrino experiments. The accurate simulation of these interactions at low energies (100 MeV) is cruci…