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