Speaker
Description
Calorimeters play a critical role in current and future high-energy and nuclear physics experiments, from the LHC to the FCC, the EIC, and future muon colliders. Building on the success of earlier dual-readout calorimeter (DREAM) studies, we developed the High-Granularity Dual-Readout Module (HG-DREAM) at Texas Tech University. Compared to the original DREAM module using photomultiplier tubes, HG-DREAM achieves a 24-fold increase in transverse segmentation enabled by SiPM technology. The readout system integrates CAEN FERS 5202 modules for charge integration and CAEN V1742 modules for waveform digitization, the latter operating at 5 GS/s sampling rate.
We studied the performance of HG-DREAM with high-energy particle beams at the CERN SPS H8 beam line in 2025 and 2026. The main goals are to measure the effect of the finer transverse granularity and to use the distinct Cherenkov and scintillation pulse shapes to improve energy and timing reconstruction. We also tested new fibers of different materials, radii, and optical properties. In addition, we explore effective longitudinal segmentation through precision timing, and we investigate AI/ML techniques that use the fine-grained shower structure to improve performance further. Preliminary results will be presented.