Beam Control

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Date: 2024-05-01

Name: Beam Control

Domain: High Energy Physics

Focus: Reinforcement learning control of accelerator beam position

Task Types: Control

Metrics: Stability, Control loss

Models: DDPG, PPO (planned)

AI/ML Motif: Reinforcement Learning/Control

Resources

Benchmark: Visit

Results: Gemini LLM Deep Research

Keywords

RL beam stabilization control systems simulation

Citation

• Javier Duarte, Nhan Tran, Ben Hawks, Christian Herwig, Jules Muhizi, Shvetank Prakash, and Vijay Janapa Reddi. Fastml science benchmarks: accelerating real-time scientific edge machine learning. 2022. URL: https://arxiv.org/abs/2207.07958, arXiv:2207.07958.

@misc{duarte2022fastmlsciencebenchmarksaccelerating3,
  archiveprefix = {arXiv},
  author        = {Javier Duarte and Nhan Tran and Ben Hawks and Christian Herwig and Jules Muhizi and Shvetank Prakash and Vijay Janapa Reddi},
  eprint        = {2207.07958},
  primaryclass  = {cs.LG},
  title         = {FastML Science Benchmarks: Accelerating Real-Time Scientific Edge Machine Learning},
  url           = {https://arxiv.org/abs/2207.07958},
  year          = {2022}
}

• Diana Kafkes and Jason St. John. Boostr: a dataset for accelerator control systems. 2021. URL: https://arxiv.org/abs/2101.08359, arXiv:2101.08359.

@misc{kafkes2021boostrdatasetacceleratorcontrol,
  archiveprefix = {arXiv},
  author        = {Diana Kafkes and Jason St. John},
  eprint        = {2101.08359},
  primaryclass  = {physics.acc-ph},
  title         = {BOOSTR: A Dataset for Accelerator Control Systems},
  url           = {https://arxiv.org/abs/2101.08359},
  year          = {2021}
}

Ratings

CategoryRating

Software

1.00

Code not documented; Incomplete setup and not containerized

Specification

4.00

Latency/resource constraints not fully quantified

Dataset

3.00

Not findable (no DOI/indexing); Not interoperable (format/schema unspecified)

Metrics

5.00

All criteria met

Reference Solution

2.00

HW/SW requirements missing; Metrics not evaluated with reference; Baseline not trainable/open

Documentation

3.00

Setup instructions and pretrained model details are missing

Average rating: 3.00/5

Radar plot

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