Gaseous detectors have long been an integral component of particle physics, providing essential data for tracking charged particles and elucidating complex event topologies in high-energy experiments.
Innovative machine learning techniques are rapidly transforming particle accelerator physics by integrating advanced data analytics with established accelerator models. This integration has led to ...
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