At CERN's COMPASS and AMBER experiments, electromagnetic calorimeters play a pivotal role in analyzing events involving neutral particles, such as photons. These detectors provide essential insights into various physical processes by capturing energy deposits, with Monte Carlo (MC) simulations serving as critical benchmarks for comparing real data (RD).
We adopt a model-independent and data-driven approach to evaluate calorimeter performance, focusing on discrepancies between MC and RD. A key aspect of this study is understanding threshold effects at the level of individual calorimeter cells, which significantly influence overall detector performance. By characterizing these responses, we developed a detailed energy threshold map that improves the alignment between simulated and real shower shapes.
This threshold map has been integrated into the common simulation software of COMPASS and AMBER using a modular framework, ensuring flexibility for future calibration. These developments enhance MC accuracy and support more effective data analysis, advancing our understanding of calorimeter behavior in high-energy physics experiments.