Intelligent experiments through real-time AI

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Date: 2025-01-08

Name: Intelligent experiments through real-time AI

Domain: High Energy Physics

Focus: Real-time FPGA-based triggering and detector control for sPHENIX and future EIC

Task Types: Trigger classification, Detector control, Real-time inference

Metrics: Accuracy (charm and beauty detection), Latency (micros), Resource utilization (LUT/FF/BRAM/DSP)

Models: Bipartite Graph Network with Set Transformers (BGN-ST), GarNet (edge-classifier)

AI/ML Motif: Classification

Resources

Benchmark: Visit

Keywords

FPGA Graph Neural Network hls4ml real-time inference detector control

Citation

• J. Kvapil, G. Borca-Tasciuc, H. Bossi, K. Chen, Y. Chen, Y. Corrales Morales, H. Da Costa, C. Da Silva, C. Dean, J. Durham, S. Fu, C. Hao, P. Harris, O. Hen, H. Jheng, Y. Lee, P. Li, X. Li, Y. Lin, M. X. Liu, V. Loncar, J. P. Mitrevski, A. Olvera, M. L. Purschke, J. S. Renck, G. Roland, J. Schambach, Z. Shi, N. Tran, N. Wuerfel, B. Xu, D. Yu, and H. Zhang. Intelligent experiments through real-time ai: fast data processing and autonomous detector control for sphenix and future eic detectors. 2025. URL: https://arxiv.org/abs/2501.04845, arXiv:2501.04845.

@misc{kvapil2025intelligentexperimentsrealtimeai,
  archiveprefix={arXiv},
  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 V. Loncar and J. P. Mitrevski and A. Olvera and M. L. Purschke and J. S. Renck and G. Roland and J. Schambach and Z. Shi and N. Tran and N. Wuerfel and B. Xu and D. Yu and H. Zhang},
  eprint={2501.04845},
  primaryclass={physics.ins-det},
  title={Intelligent experiments through real-time AI: Fast Data Processing and Autonomous Detector Control for sPHENIX and future EIC detectors},
  url={https://arxiv.org/abs/2501.04845},
  year={2025}
}

Ratings

CategoryRating

Software

3.00

No containerized or open-source setup provided

Specification

4.00

Architectural/system specifications are incomplete

Dataset

2.00

Dataset is internal and not publicly available or FAIR-compliant

Metrics

3.00

Metrics relevant but not supported by evaluation scripts or baselines

Reference Solution

3.00

No public or reproducible implementation released

Documentation

3.00

No public GitHub or complete pipeline documentation

Average rating: 3.00/5

Radar plot

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