TG7: AI/ML for Detectors

Our topical group focuses on artificial intelligence (AI) and machine learning (ML) for instrumentation. Some of the student research topics include

  • ML for instrumentation:
    • detector modeling for optimization and design
    • detector simulation
    • detector calibration
    • particle identification
    • low-level tracking
    • high-level detector combination
    • strategies for noise suppression
    • identification of under-performing detector elements
  • Specialized instrumentation for ML:
    • ML on FPGAs/ASICs for trigger/on-detector
Simulating calorimeter showers using generative adversarial networks
Deploying submicrosecond neural networks for identifying particles
University Mentors:
Laboratory Mentors: