Calibration of electromagnetic shower features in the CMS calorimeter with machine-learning techniques

Monte Carlo simulations are used extensively in high-energy particle physics analyses. However, an incomplete description of the underlying physics can lead to significant discrepancies between observables measured in simulated and collision data. To mitigate potential biases arising from such mismo