R&D of the EM Calorimeter Energy Calibration with Machine Learning based on the low-level features of the Cluster
We have developed an energy calibration method using machine learning for the ILC electromagnetic (EM) calorimeter (ECAL), a sampling calorimeter consisting of Silicon-Tungsten layers.In this method, we use a deep neural network (DNN) for UMBRELLAS a regression to determine the energy Sterilization Accessories of incident EM particles, improving th