Photon reconstruction using the Hough transform in imaging calorimeters
Yang Zhang, Shengsen Sun, Weizheng Song, Fangyi Guo, Yuanzhan Wang, Linghui Wu, Yifang Wang
TL;DR
The paper introduces an energy-core based photon reconstruction method for imaging calorimeters by extending the Hough transform to detect the energy-core axis of electromagnetic showers. It combines clustering, a generalized Hough transform, and a two-stage energy-splitting algorithm to resolve overlapping showers, validated on a CEPC crystal ECAL simulation. The results show near 100% single-photon reconstruction efficiency for energies above 2 GeV and near 100% two-photon separation when showers are spaced at the calorimeter granularity limit. This method reduces reliance on detailed shower boundaries, improves photon measurement in high-multiplicity events, and is readily generalizable to other calorimeter technologies and particle-flow applications.
Abstract
Photon reconstruction in calorimeters represents a crucial challenge in particle physics experiments, especially in high-density environments where shower overlapping probabilities become significant. We present an energy-core-based photon reconstruction method. It is achieved through extending the application of the Hough transform to exploit the energy-core structure of photon showers. The method, validated through simulations of the CEPC crystal electromagnetic calorimeter, demonstrates outstanding performance. It achieves a reconstruction efficiency of nearly 100% for photons with energies exceeding 2 GeV and a separation efficiency approaching 100% for two 5 GeV photons, when the distance between them reaches the granularity limit of the calorimeter. This energy-core-based photon reconstruction method, integrated with an energy splitting technique, enhances the performance of photon measurement and provides a promising tool for imaging calorimeters, particularly those requiring high precision in photon detection in complex event topologies with high multiplicity.
