2 papers
physics.ins-det2025
Intelligent experiments through real-time AI: Fast Data Processing and Autonomous Detector Control for sPHENIX and future EIC detectors
J. Kvapil, G. Borca-Tasciuc, H. Bossi +30
This R\&D project, initiated by the DOE Nuclear Physics AI-Machine Learning initiative in 2022, leverages AI to address data processing challenges in high-energy nuclear experiment…
physics.ins-det2023
A demonstrator for a real-time AI-FPGA-based triggering system for sPHENIX at RHIC
J. Kvapil, G. Borca-Tasciuc, H. Bossi +28
The RHIC interaction rate at sPHENIX will reach around 3 MHz in pp collisions and requires the detector readout to reject events by a factor of over 200 to fit the DAQ bandwidth of…