collaborators

8 papers

physics.ins-det2026

Online Data Reduction with Spiking Neural Networks: A Temporal-Coincidence Encoder and Distributed SNN for the ePIC dRICH Detector

Pierpaolo Perticaroli, Roberto Ammendola, Andrea Biagioni +10

The dual-radiator Ring Imaging Cherenkov (dRICH) detector of the ePIC experiment at the Electron-Ion Collider (EIC) will read out 320,000 silicon photomultiplier (SiPM) chann…

cs.AR2026

AIGOR: A Modular, Event-Driven Neuromorphic Architecture for Configurable SNN Inference

Pierpaolo Perticaroli, Roberto Ammendola, Andrea Biagioni +10

Spiking neural networks (SNNs) run today on a fragmented landscape of hardware: dedicated neuromorphic processors, application-specific FPGA accelerators, and large-scale neuroscie…

physics.ins-det2026

APEIRON: composing smart TDAQ systems for high energy physics experiments

Roberto Ammendola, Andrea Biagioni, Carlotta Chiarini +12

We present APEIRON, a distributed heterogeneous processing framework comprising both hardware architecture and software stack for multi-FPGA systems. Targeting smart trigger and da…

cs.NI2026

NET4EXA: Pioneering the Future of Interconnects for Supercomputing and AI

Michele Martinelli, Roberto Ammendola, Andrea Biagioni +41

NET4EXA aims to develop a next-generation high-performance interconnect for HPC and AI systems, addressing the increasing demands of large-scale infrastructures, such as those requ…

hep-ex2025

Searches for hidden sectors using decays

NA62 Collaboration

Results from the study of the rare decays , and at the NA62 experiment at CERN are interpreted…

hep-ex2025

Search for hadronic decays of feebly-interacting particles at NA62

NA62 Collaboration

The NA62 experiment at CERN has the capability to collect data in a beam-dump mode, where 400 GeV protons are dumped on an absorber. In this configuration, New Physics particles, i…