Enhancing electromagnetic calorimeter signal reconstruction with machine learning-based noise discrimination
Abstract Calorimeters operating in high-radiation environments are susceptible to damage, leading to increased noise that can significantly degrade energy resolution. A common way to mitigate noise is to apply a higher energy threshold on the calorimeter cells, typically set a few standard deviations above the noise le...
Suman Das Gupta, Shamik Ghosh, Laltu Gazi et al.
· The European Physical Journa... · 0 citations