Geant4 toolkit for the simulation of the passage of particles through matter - NIM A 506 (2003) 250-303
-
Updated
May 12, 2024 - C++
Geant4 toolkit for the simulation of the passage of particles through matter - NIM A 506 (2003) 250-303
ATLAS Run 2 and Run 3 analysis framework for AnalysisTop and AnalysisBase for proton-smashing physics
A Deep learning library for neutrino telescopes
pure-Python HistFactory implementation with tensors and autodiff
Machine Learning for High Energy Physics.
Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation
A Python package for flavour physics phenomenology in the Standard model and beyond
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.
Monte Carlo-based data analysis
A HEP Program for Flavor Observables
FNAL LPC Machine Learning HATS
Metapackage of Scikit-HEP project data analysis packages for Particle Physics.
Package to deal with particles, the PDG particle data table, PDGIDs, etc.
Header only framework for data analysis in massively parallel platforms.
Official repo of the legacy INSPIRE-HEP overlay
Standalone monitor for process resource consumption
A Python package for the running and matching of Wilson coefficients above and below the electroweak scale
Training, generation, and analysis code for Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics
Repository hosting the KLFitter library – the Kinematic Likelihood Fitter.
Matrix element calculations as used in JHUGen. MELA is an important tool that was used for the Higgs boson discovery and for precise measurements of its structure and interactions. Please see the website https://spin.pha.jhu.edu/ and papers cited there for more details, and kindly cite those papers when using this code.
Add a description, image, and links to the high-energy-physics topic page so that developers can more easily learn about it.
To associate your repository with the high-energy-physics topic, visit your repo's landing page and select "manage topics."