Orateur
Description
Accurate energy calibration of calorimeters is essential for the physics goals of collider experiments, particularly at the CERN Large Hadron Collider. Conventional calibration strategies encounter growing limitations as calorimeter granularity increases. We propose a novel calibration method that simultaneously calibrates individual detector cells within a particle shower by targeting a well-controlled energy reference. This approach bypasses several challenges inherent to traditional techniques and is implemented using differentiable programming. We evaluate the method on simulated energy deposits in the electromagnetic section of a high-granularity calorimeter and demonstrate that it reasonably mitigates injected biases in the energy response. These results highlight the potential of differentiable programming as a useful tool for calibration in future granular calorimeters.
