The ARC compact RICH detector: reconstruction and performance

Sep 16, 2025, 4:40 PM
20m
Ketteler-Saal

Ketteler-Saal

Talk Pattern recognition and data analysis Pattern recognition and data analysis

Speaker

Serena Pezzulo (INFN and University of Genova)

Description

Particle Identification (PID) will be crucial in Future Circular Colliders (FCC-ee) or other Higgs Factory experiments for precision studies involving heavy-flavour particles in Z decays, as well as jet flavour tagging in the decays of Higgs, W, and top particles.
In this context, a novel Ring Imaging Cherenkov (RICH) detector concept, named ARC (Array of RICH Cells), has been proposed.
The ARC detector is designed to provide charged hadron separation over a momentum range of 1-40 GeV, using both $\rm C_4F_{10}$ gas (or an environmentally friendly alternative) and aerogel as radiators.
The ARC detector features a modular design composed of identical cells, each equipped with radiators, a spherical mirror, and a Silicon PhotoMultiplier (SiPM) photodetection plane. Simulations demonstrate excellent hadron separation capabilities across the target momentum range. Reconstruction algorithms have been developed and integrated into the simulation framework, allowing detailed studies of photon yield and Cherenkov angle resolution. Current efforts focus on implementing advanced pattern recognition algorithms and developing a detailed simulation framework that includes magnetic field effects for accurate performance evaluation. Scenarios involving multiple tracks crossing the same cell are also under investigation to assess the detector’s reconstruction capabilities in cases with increased pattern complexity.
The latest simulation results and performance assessments of the ARC detector will be presented, highlighting its potential for high-precision PID at FCC-ee.

Authors

Alvaro Tolosa-Delgado (CERN) Prof. Roberta Cardinale (INFN and University of Genova) Serena Pezzulo (INFN and University of Genova)

Presentation materials