A Deep learning library for neutrino telescopes
Public Archive: Beautiful and Elegant Quantum Mechanics Visualization.
The open-source particle-in-cell post-processor.
This project contains additional material for the textbook Deep Learning for Physics Research by Martin Erdmann, Jonas Glombitza, Gregor Kasieczka, and Uwe Klemradt.
ATLAS Run 2 and Run 3 analysis framework for AnalysisTop and AnalysisBase for proton-smashing physics
Python Library to calculate all types of Physics Formulae, both for calculations and research
Awesome Physics Guide
Monte Carlo-based data analysis
WAveform Vector Exploitation (WAVE): Machine Learning for particle physics detectors.
Python calculator for the Wigner D matrices, Clebsch-Gordan coefficients, hydrogen atoms, and irreducible representations of the Lorentz group
Threaded implementation of grid-based Bader charge analysis.
Computational Methods for Physicist: Projects in Computational Physics
Este é um repositório que contem os notebooks do projeto PET.py do PET - Física da UFRN.
Unbinned likelihood analysis code for astroparticle physics datasets
Event level classifier for the hh-->yybb analysis using multi-stream RNNs
Machine Learning based Analysis Framework for physics on top of REP
Potku is analysis and simulation software for ToF-ERD measurements
A physics library for Python Programming Language. TODO Simulation System.
max entropy method in python, covariance matrix is diagonalized and the Green function and kernel matrix are rotated into the eigen-space.
Utilities for working with experimental fluid mechanics datasets
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