Speaker
Description
A study of cluster reconstruction and calibration optimization for the MAIA detector concept is presented. Single-particle samples of pions, neutrons, and electrons were simulated across multiple energies and detector regions with and without beam-induced background. Reconstructed cluster response in the ECAL and HCAL was evaluated using a cluster-matching framework based on angular separation between Monte Carlo truth particles and reconstructed clusters. From this work, large variations between Monte Carlo particle energy and reconstructed energy were observed in relation to detector response. Initial efforts focused on modifying the four Pandora ECAL and HCAL calibration constants to improve response centering, but further investigation revealed correlations between reconstructed response and the spatial distribution of hits within the ECAL and HCAL barrel and endcap regions. To address these effects, energy- and angle-dependent rescaling techniques were developed to recenter the response and reduce the width of the response distributions. These studies provide insight into calorimeter response behavior and possible improvements for future reconstruction workflows.
| What category does your poster fit in? | Detector |
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