high-energy-physics
There are 266 repositories under high-energy-physics topic.
Geant4/geant4
Geant4 toolkit for the simulation of the passage of particles through matter - NIM A 506 (2003) 250-303
scikit-hep/pyhf
pure-Python HistFactory implementation with tensors and autodiff
arogozhnikov/hep_ml
Machine Learning for High Energy Physics.
zfit/zfit
Model manipulation and fitting library based on TensorFlow and optimised for simple and direct manipulation of probability density functions. Its main focus is on scalability, parallelisation and user friendly experience.
scikit-hep/scikit-hep
Metapackage of Scikit-HEP project data analysis packages for Particle Physics.
scikit-hep/particle
Package to deal with particles, the PDG particle data table, PDGIDs, etc.
MultithreadCorner/Hydra
Header only framework for data analysis in massively parallel platforms.
hep-lbdl/CaloGAN
Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation
JuliaHEP/UnROOT.jl
Native Julia I/O package to work with CERN ROOT files objects (TTree and RNTuple)
graphnet-team/graphnet
A Deep learning library for neutrino telescopes
flav-io/flavio
A Python package for flavour physics phenomenology in the Standard model and beyond
hep-lbdl/adversarial-jets
Training, generation, and analysis code for Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics
HSF/prmon
Standalone monitor for process resource consumption
UCATLAS/xAODAnaHelpers
ATLAS Run 2 and Run 3 analysis framework for AnalysisTop and AnalysisBase for proton-smashing physics
scikit-hep/decaylanguage
Package to parse decay files, describe and convert particle decays between digital representations.
eos/eos
A HEP Program for Flavor Observables
fermi-lat/Fermitools-conda
Conda recipe files for the Fermi Sciencetools software analysis package: Fermitools
JuliaPhysics/Corpuscles.jl
Julia package for particle physics
ericardomuten/qcnn-hep
A Google Summer of Code 2021 Project Repository. This project aims to demonstrate quantum machine learning's potential, specifically Quantum Convolutional Neural Network (QCNN), in HEP events classification from particle image data. The code used in the research is wrapped as an open-source package to ease future research in this field.
matthewfeickert/Statistics-Notes
Personal notes on statistics with a focus on applications to experimental high energy physics
wilson-eft/wilson
A Python package for the running and matching of Wilson coefficients above and below the electroweak scale
EdoPro98/SimSiPM
Library for SiPM simulation
yandexdataschool/IDAO-2019-muon-id
Problem for IDAO 2019 on LHCb Muon Identification
DsixTools/DsixTools
DsixTools: The Effective Field Theory toolkit https://dsixtools.github.io/
huangli712/ACFlow
A Full-Fledged Analytic Continuation Toolkit in Julia
MadAnalysis/madanalysis5
A package for event file analysis and recasting of LHC results
FormTracer/FormTracer
A Mathematica Tracing Package Using FORM
scikit-hep/fastjet
Jet-finding in the Scikit-HEP ecosystem.
smelli/smelli
A global likelihood for the Standard Model Effective Field Theory
FNALLPC/machine-learning-hats
FNAL LPC Machine Learning HATS
icecube/pisa
Monte Carlo-based data analysis
FlexibleSUSY/FlexibleSUSY
Creates spectrum generators for supersymmetric and non-supersymmetric models
inspirehep/inspire
Official repo of the legacy INSPIRE-HEP overlay
marinang/lauztat
Pure python statistic tools for high energy physics.
AvencastF/slidev-theme-hep
Academic style Slidev theme for High Energy Physics
salcc/QuantumTransformers
Quantum Transformers for High Energy Physics Analysis at the Large Hadron Collider