2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/37455We present a signal-from-background separation study based on neural networks technique applied to a W/quartz fiber calorimeter. Performance results in terms of signal efficiency and improvement of the signal-to-background ratio are presented. We conclude that by using neural networks we can efficiently separate signal from background and achieve a signal enhancement over the background of the order of several thousands at high efficiency.LaTeX 22 pages, 4 tables, 15 figuresHigh Energy Physics - ExperimentNuclear Experimenttext