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High Energy Physics (HEP) autoencoder for CERN ATLAs to compress hadron jet event data from 4 to 3 variables

High energy physics, python-based, neural-network framework

UArizona Honors Thesis project: ttbar background estimation analysis for the ATLAS experiment. Tucson, AZ

A deep neural network for tagging triplets of jets from hadronic top decay.

Signal Optimization of Leptoquark, CMS-CERN

CERN analysis of Multi Anode PMTs

Higgs to two tau lepton analysis based on NanoAOD-like samples from the CERN Open Data portal. Used as a simple payload in our hsf-training-cicd module.

Analysis of radiation data to classify particles from space

ATLAS related data visualisation

Webpage for github.com/hsf-training/hsf-training-cms-analysis