UnROOT
UnROOT: an I/O library for the CERN ROOT file format written in Julia - Published in JOSS (2022)
GraphNeT
GraphNeT: Graph neural networks for neutrino telescope event reconstruction - Published in JOSS (2023)
particle
Package to deal with particles, the PDG particle data table, PDGIDs, etc.
decaylanguage
Package to parse decay files, describe and convert particle decays between digital representations.
pyerrors
Error propagation and statistical analysis for Monte Carlo simulations in lattice QCD and statistical mechanics using autograd.
scikit-hep
Metapackage of Scikit-HEP project data analysis packages for Particle Physics.
lgn-autoencoder
Lorentz group equivariant autoencoders based on Lorentz Group Network
https://github.com/akio-tomiya/latticeqcd.jl
A native Julia code for lattice QCD with dynamical fermions in 4 dimension.
baler-compressor
Repository of Baler, a machine learning based data compression tool
scikit-hep-testdata
A common package to provide example files (e.g., ROOT) for testing and developing packages against.
https://github.com/compwa/expertsystem
Rule based particle reaction problem solver on a quantum number level
https://github.com/dark-elektron/cavitydesignhub
A hub for control of different electromagnetic codes for accelerating cavity design.
https://github.com/cern-it-innovation/latent-ad-qml
Unsupervised anomaly detection in the latent space of high energy physics events with quantum machine learning.
nomological_net_ml_particle_physics
Nomological Net for ML in Particle Physics
particlerigiditycalculationtools
A set of Python functions for processing and converting data in units of particle kinetic energy to units of particle rigidity (typically expressed in GV; gigavolts) and vice versa. This is frequently done in the field of solar system radiation physics.
isotoperesponses
Data characterizing stable isotopes in Earth, and their response functions for scattering with dark matter. Ancillary data for arXiv: 2312.08478
pyxsec
Python framework to measure differential cross-sections of particle physics processes using classical- and quantum-computing based unfolding techniques.
hsf-training-cms-analysis-webpage
Webpage for github.com/hsf-training/hsf-training-cms-analysis
final-state-transformer
Machine learning development toolkit built upon Transformer encoder network architectures and tailored for the realm of high-energy physics and particle-collision event analysis.
https://github.com/justwhit3/higgs-decay-classification
Classification of Higgs boson decays using machine learning. Project for the "Tandem Project" activity at Master degree in Physics.
https://github.com/compwa/gluex-nstar
Investigation of N* in GlueX photoproduction experiment
