5 papers · 1 filter
A-GHOST: High-rate streaming of trigger-level data to programmable GPU inference
I. Xiotidis, N. Clarke Hall, M. S. Larson +11
A-GHOST (A Global Heterogeneous Online Scouting Trigger) is an R&D effort investigating high-rate streaming readout architectures for high-energy physics (HEP) experiments. The cen…
Distilling Normalizing Flows for Real-Time Anomaly Detection at the LHC
Tara P. A. Tahseen, Noah Clarke Hall, Nikolaos Konstantinidis +1
Normalizing flows are principled anomaly detectors, selecting anomalies using a probabilistic per-event likelihood. Extreme latency and resource constraints have prevented the depl…
AMD Versal AI-Engines for fixed latency environments
Ioannis Xiotidis, Noah Clarke Hall, Tianjia Du +2
Complex, high-throughput data acquisition and processing systems, such as those used in high-energy physics experiments, are increasingly moving sophisticated pattern recognition a…
End-to-end optimisation of HEP triggers
Noah Clarke Hall, Ioannis Xiotidis, Nikos Konstantinidis +1
High-energy physics experiments face extreme data rates, requiring real-time trigger systems to reduce event throughput while preserving sensitivity to rare processes. Trigger syst…
DECADE: Decorrelated anomaly detection triggers to enhance the low-mass discovery potential of the LHC
Noah Clarke Hall, Nikolaos Konstantinidis
At the ATLAS and CMS experiments at CERN's Large Hadron Collider, the rate of proton-proton collisions far exceeds the rate at which data can be recorded. A real-time event selecti…