Speaker
Description
This work introduces a hardware-based simulation of a particle identification (PID) method as an alternative to conventional E–$\Delta$E detector telescopes and time-of-flight techniques [2]. Although the methods presented in this work are general and applicable to a wide range of charged-particle experiments, the specific motivation for this work was an experiment investigating the radiative decay of the Hoyle state performed in 2022 [1]. By implementing the original software algorithms and processing the raw digitized waveforms acquired during this experiment, this work describes the architecture of the proposed algorithm and presents preliminary results. The obtained results demonstrate the feasibility of implementing the proposed approach on modern digitizers. This work was supported under a contract funded by the Extreme Light Infrastructure Nuclear Physics Phase IV (PN23 21 01 06 Faza 4, Partea II) and by the Romanian Government through the National Programme ”Installations and Strategic Objectives of National Interest”. We acknowledge the support provided by the ELI-RO-RDI-2024-007 and ELI-RO-RDI-2024-002 projects, sponsored by the Romanian Ministry of Research, Innovation, and Digitalization.
References
[1] K. Sakanashi et al. Precise measurement of the γ-decay probability of the hoyle state with a new triple coincidence-detection method. Physics Letters B, 870, 2025. doi: https://doi.org/10.1016/j.physletb.2025.139893.
[2] S.R. Ban et al. Hardware simulation of particle identification algorithms for silicon detectors. UPB Scientific Bulletin, Series A: Applied Mathematics and Physics, 87:165, 2025.