Speaker
Description
This work presents the algorithmic simulation and hardware implementation of a particle identification (PID) method for silicon detectors, serving as an effective alternative to conventional $\Delta E\text{–}E$ telescopes and time-of-flight techniques [1]. Although the method is broadly applicable to charged-particle detection, it is demonstrated here through a case study based on a 2022 experiment investigating the radiative decay of the Hoyle state [2]. Starting from the original software algorithms, the signal processing pipeline underwent a hardware-level simulation to assess feasibility before being translated into a dedicated digital architecture. Simulation and synthesis results validate the performance of the algorithm and confirm that real-time on-board processing can be achieved using the CAEN VX2730 platform .
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 and Digitalization and Project ELI-RO/DFG/2025_013 IATP-NP 2.0 funded by the Institute of Atomic Physics, Romania.
References
[1] 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.
[2] 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.