Julia package for jet flavour tagging at Future Circular Collider (FCC) experiments using machine learning.
JetTaggingFCC.jl provides tools for identifying the quark flavor content of jets in high-energy physics experiments. It uses ONNX neural network models to classify jets based on their constituent particles.
- Load and process EDM4hep event data to extract physics features from jet constituents
- Run ONNX neural network inference for flavour classification
See the examples/ directory for detailed usage examples.
Important This package need the pre-release version of JetReconstruction,
so currently Pkg.develop("JetReconstruction") is required.