학술논문
A demonstrator for a real-time AI-FPGA-based triggering system for sPHENIX at RHIC
Document Type
Working Paper
Author
Kvapil, J.; Borca-Tasciuc, G.; Bossi, H.; Chen, K.; Chen, Y.; Morales, Y. Corrales; 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.; Liu, M. X.; Olvera, A.; Purschke, M. L.; Rigatti, M.; Roland, G.; Schambach, J.; Shi, Z.; Tran, N.; Wuerfel, N.; Xu, B.; Yu, D.; Zhang, H.
Source
Subject
Language
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.
Comment: 7 pages, 5 figures, proceedings for TWEPP 2023 conference, v2: corrected Table 1 numbers
Comment: 7 pages, 5 figures, proceedings for TWEPP 2023 conference, v2: corrected Table 1 numbers