A demonstrator for a real-time AI-FPGA-based triggering system for sPHENIX at RHIC
Abstract
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 15 kHz. Some critical measurements, such as heavy flavor production in pp collisions, often require the analysis of particles produced at low momentum. This prohibits adopting the traditional approach, where data rates are reduced through triggering on rare high momentum probes. We explore a new approach based on real-time AI technology, adopt an FPGA-based implementation using a custom designed FELIX-712 board with the Xilinx Kintex Ultrascale FPGA, and deploy the system in the detector readout electronics loop for real-time trigger decision.
Cite
@article{arxiv.2312.15104,
title = {A demonstrator for a real-time AI-FPGA-based triggering system for sPHENIX at RHIC},
author = {J. Kvapil and G. Borca-Tasciuc and H. Bossi and K. Chen and Y. Chen and Y. Corrales Morales and H. Da Costa and C. Da Silva and C. Dean and J. Durham and S. Fu and C. Hao and P. Harris and O. Hen and H. Jheng and Y. Lee and P. Li and X. Li and Y. Lin and M. X. Liu and A. Olvera and M. L. Purschke and M. Rigatti and G. Roland and J. Schambach and Z. Shi and N. Tran and N. Wuerfel and B. Xu and D. Yu and H. Zhang},
journal= {arXiv preprint arXiv:2312.15104},
year = {2023}
}
Comments
7 pages, 5 figures, proceedings for TWEPP 2023 conference, v2: corrected Table 1 numbers