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LukeV37/README.md

Hi, I'm Luke 👋

Experimental high energy physicist developing machine learning methods for LHC data.

  • Working at the intersection of particle physics, ML, and scientific computing
  • Focused on Higgs analysis, jet classification, pileup mitigation, and anomaly detection
  • Using ML to improve collider measurements and search for ✨ new physics ✨

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  1. Pythia_PyTorch_Tutorial Pythia_PyTorch_Tutorial Public

    This tutorial will go step-by-step on how to setup pythia8 in python3. Pythia will be used to generate a ttbar and HardQCD dataset. A simple PyTorch model is then trained to distinguish particles c…

    Jupyter Notebook 1

  2. Pileup_Project Pileup_Project Public

    A PhD project using Attention and Transformer Encoder stacks for a regression task to predict the energy and mass contributions from pileup on per jet basis in the context of an event. Generated in…

    Python 1

  3. ML_Tutorial_2025 ML_Tutorial_2025 Public

    Jupyter Notebook 1

  4. Top_Polarimetry Top_Polarimetry Public

    Jupyter Notebook 1