Project
On-chip Machine Learning

On-chip Machine Learning

Overall Goals

Exploring the potential for ML-based front-end readout for waveform analysis and data compression in Future Colliders

Dual-readout Calorimeter

Extract C&S components from raw waveforms

Prediction of the C&S components
Prediction of the C&S components

Github Link: Models&Plotting

Recent Tasks

Click to view the breakdown
  1. Waiting for the hardonic data

Drift Chamber

Predict ionization cluster numbers for PID

Classic Distribution of Electrons in a DCH
Classic Distribution of Electrons in a DCH

Recent Tasks

Click to view the breakdown
  1. Test ML peak/primary-percentage temporal distribution
  2. More simple models (and dnn-only models) included in the separation plot