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Geant4 toolkit for the simulation of the passage of particles through matter - NIM A 506 (2003) 250-303
geometry
shielding
nuclear-data
visualization
hadron-physics
medical-physics
photon-transport
neutron-transport
particle-tracking
particle-transport
high-energy-physics
radiation-transport
scientific-computing
computational-physics
monte-carlo-simulation
multiphysics-simulation
high-performance-computing
Created
2016-06-21
80 commits to master branch, last one 3 months ago
pure-Python HistFactory implementation with tensors and autodiff
Created
2018-01-24
1,456 commits to main branch, last one 11 days ago
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...
Created
2018-03-22
3,975 commits to develop branch, last one 8 days ago
Machine Learning for High Energy Physics.
Created
2015-05-05
363 commits to master branch, last one 5 months ago
Metapackage of Scikit-HEP project data analysis packages for Particle Physics.
Created
2016-11-14
630 commits to main branch, last one 4 days ago
Package to deal with particles, the PDG particle data table, PDGIDs, etc.
Created
2018-11-20
690 commits to main branch, last one 4 days ago
Header only framework for data analysis in massively parallel platforms.
Created
2016-09-28
1,397 commits to master branch, last one about a year ago
Native Julia I/O package to work with CERN ROOT files objects (TTree and RNTuple)
Created
2020-04-17
636 commits to main branch, last one 9 days ago
Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation
Created
2017-02-17
153 commits to master branch, last one 3 years ago
A Deep learning library for neutrino telescopes
Created
2021-04-12
6,503 commits to main branch, last one about a month ago
A Python package for flavour physics phenomenology in the Standard model and beyond
Created
2016-01-26
1,406 commits to master branch, last one 18 days ago
Celeritas is a new Monte Carlo transport code designed to accelerate scientific discovery in high energy physics by improving detector simulation throughput and energy efficiency using GPUs.
Created
2020-03-27
1,574 commits to develop branch, last one 23 hours ago
Automatic parametric modeling with symbolic regression
Created
2024-10-01
276 commits to main branch, last one 2 days ago