A Deep learning library for neutrino telescopes
-
Updated
May 3, 2024 - Python
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
Monte Carlo-based data analysis
Awesome Physics Guide
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
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
max entropy method in python, covariance matrix is diagonalized and the Green function and kernel matrix are rotated into the eigen-space.
A physics library for Python Programming Language. TODO Simulation System.
Utilities for working with experimental fluid mechanics datasets
AIBirds 2017 winner, Eagle's Wing. AIBird 2017 results : https://aibirds.org/angry-birds-ai-competition/competition-results.html
Add a description, image, and links to the physics-analysis topic page so that developers can more easily learn about it.
To associate your repository with the physics-analysis topic, visit your repo's landing page and select "manage topics."