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interaction_network_paper's Introduction

Charged Particle Tracking via Edge-Classifying Interacting Networks

Repo Organization

  • graph_construction/

    • build_heptrkx_classic.py: HEP.TrkX construction algorithm to build graphs in the pixel barrel layers, example usage:
      python build_heptrkx_classic.py configs/heptrkx_classic.py
      
    • build_heptrkx_plus.py: HEP.TrkX construction algorithm modified to build graphs in the pixel barrel+endcaps layers, example usage:
      python build_heptrkx_plus.py configs/heptrkx_plus.py
      
    • build_dbgraphs.py: DBScan clustering algorithm used build graphs via clustering in eta-phi space, example usage:
      python build_dbgraphs.py configs/dbgraphs.py
      
  • models/

    • interaction_network.py: network architecture
    • dataset.py: custom data loader for multi-threaded graph loading (necessary for large graphs)
    • track_fitter.py: class to fit hits in conformal space
  • run_interaction_network.py: IN training script, example usage:

    python run_interaction_network.py --pt=1 --construction=heptrkx_plus --lr=0.005 --gamma=0.9 --save-model 
    
  • timing_scan_bash.py: inference timing script, example usage:

    • CPU-only inference:
      python timing_scan_bash.py --construction=heptrkx_plus --graphs=3 --batchsize=6
      
    • GPU inference:
      python timing_scan_bash.py --gpu --construction=heptrkx_plus --graphs=3 --batchsize=6
      

interaction_network_paper's People

Contributors

vesal-rm avatar gagedezoort avatar jmduarte avatar

Forkers

jmduarte

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