A demonstrator for a real-time AI-FPGA-based triggering system for sPHENIX at RHIC

Authors

J. Kvapil, Los Alamos National Laboratory
G. Borca-Tasciuc, Rensselaer Polytechnic Institute
H. Bossi, Massachusetts Institute of Technology
K. Chen, Central China Normal University
Y. Chen, Central China Normal University
Y. Corrales Morales, Massachusetts Institute of Technology
H. Da Costa, Los Alamos National Laboratory
C. Da Silva, Los Alamos National Laboratory
C. Dean, Massachusetts Institute of Technology
J. Durham, Los Alamos National Laboratory
S. Fu, University of North Texas
C. Hao, Georgia Institute of Technology
P. Harris, Massachusetts Institute of Technology
O. Hen, Massachusetts Institute of Technology
H. Jheng, Massachusetts Institute of Technology
Y. Lee, Massachusetts Institute of Technology
P. Li, Georgia Institute of Technology
X. Li, Los Alamos National Laboratory
Y. Lin, Los Alamos National Laboratory
M. X. Liu, Los Alamos National Laboratory

Document Type

Article

Publication Date

2-1-2024

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.

Identifier

85186107507 (Scopus)

Publication Title

Journal of Instrumentation

External Full Text Location

https://doi.org/10.1088/1748-0221/19/02/C02066

e-ISSN

17480221

Issue

2

Volume

19

Recommended Citation

Kvapil, J.; Borca-Tasciuc, G.; Bossi, H.; Chen, K.; Chen, Y.; Corrales Morales, Y.; Da Costa, H.; Da Silva, C.; Dean, C.; Durham, J.; Fu, S.; Hao, C.; Harris, P.; Hen, O.; Jheng, H.; Lee, Y.; Li, P.; Li, X.; Lin, Y.; and Liu, M. X., "A demonstrator for a real-time AI-FPGA-based triggering system for sPHENIX at RHIC" (2024). Faculty Publications. 643.
https://digitalcommons.njit.edu/fac_pubs/643