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

Potku is analysis and simulation software for ToF-ERD measurements

Machine Learning based Analysis Framework for physics on top of REP

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