Higgs Boson to tau-tau particle decay classification
Switch branches/tags
Nothing to show
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
.gitignore
LICENSE
README.md
higgs_gradient_boost.py
higgs_ml.sublime-project
higgs_ml.sublime-workspace
higgs_neural_net.py

README.md

Higgs Boson Classification

In particle physics, Higgs Boson to tau-tau decay signals are notoriously difficult to identify due to the presence of severe background noise generated by other decaying particles. This approach uses neural networks to classify events as signals or background noise.

Keywords: Machine Learning, Binary Classification, Neural Networks

Implementation

Paper

Poster

Usage

Full instructions coming soon.

Dataset

CERN dataset

TensorFlow on Amazon EC2 GPU Cluster

For GPU-accelerated training: Setup Script

Training

Train the model:

$ sudo python higgs_neural_net.py