FNAL LPC Machine Learning HATS
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Updated
May 25, 2026 - Jupyter Notebook
FNAL LPC Machine Learning HATS
Machine Learning DAS Short Exercise with CMS Open Data
Vanilla GAN and WGAN implementations in PyTorch on the FashionMNIST dataset
Statistics DAS Short Exercise
The event display for SBN at Fermilab
Analyzer for CERN Open Data Portal Machine Learning Release
Using deep learning techniques to measure neutrino oscillations. (MSci Project)
Time-Series Statistical Analysis to model Heavy Neutral Lepton production in the day-night cycle
A very simple analysis package for neutrino oscillation experiments.
Muon-weighted magnetic field averaging from the Fermilab Muon g-2 experiment (2026 Breakthrough Prize in Fundamental Physics)
HELIX — Hybrid Envelope-multiparticle LInac eXplorer: TraceWin-compatible linac simulation with 3-D PIC space charge, matching, a PyQt6 workbench, and a voice-driven AI copilot. Built at Fermilab for PIP-II.
Resolving Fermilab's W-Boson & Muon g-2 anomalies via K-PROTOCOL-v3 Geometric Scaling (S_loc). Achieving 0.00% residual.
Conducing a re-analysis of the MINOS experiment using modern ML techniques.
FHiCL language support for Visual Studio Code
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