A demonstrator for a real-time AI-FPGA-based triggering system for sPHENIX at RHIC
- Los Alamos
- Rensselaer Poly.
- MIT
- Hua-Zhong Normal U., LQLP; CCNU, Wuhan, Inst. Part. Phys.
- North Texas State U.
- Georgia Tech., Atlanta
- Brookhaven
- Fermilab
- Oak Ridge
- Michigan Tech. U.
- Stevens Tech.
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.
- Research Organization:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); Los Alamos National Laboratory (LANL), Los Alamos, NM (United States); Brookhaven National Laboratory (BNL), Upton, NY (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), High Energy Physics (HEP)
- DOE Contract Number:
- AC02-07CH11359
- OSTI ID:
- 2283753
- Report Number(s):
- LA-UR-23-32546; FERMILAB-CONF-23-0841-CSAID; arXiv:2312.15104; oai:inspirehep.net:2740574
- Country of Publication:
- United States
- Language:
- English
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