P
ParticlePredatorInvasion
The Particle Predator Invasion Project aims to train Graph Neural Network (GNN)-based models (aka predators) to track particles in particle tracking systems (Velo, SciFi) and evaluate their performance in the context of real-time trigger systems.
Configurable Python library that automates the conversion of LHCb DIGI files into parquet dataframes by managing a sequence of dependent steps and scheduling their parallel execution on local or distributed systems.
