A Deep learning library for neutrino telescopes
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Updated
Aug 20, 2024 - Python
A Deep learning library for neutrino telescopes
The open-source particle-in-cell post-processor.
A userspace workflow management tool for harnessing non-dedicated resources for high-throughput workloads.
Potku is analysis and simulation software for ToF-ERD measurements
Reconstruction of top quark decay using machine learning
Matterwave group data analysis library
WAveform Vector Exploitation (WAVE): Machine Learning for particle physics detectors.
max entropy method in python, covariance matrix is diagonalized and the Green function and kernel matrix are rotated into the eigen-space.
Event level classifier for the hh-->yybb analysis using multi-stream RNNs
A QT-based viewer of .uio-data used by CO5BOLD.
Generate signal Monte Carlo for ATLAS Run II SUSY electroweak Wh physics search
Python tools for dark matter direct detection simulation and analysis. Most well-developed project currently on my account.
A physics library for Python Programming Language. TODO Simulation System.
This project aims to provide everything you need for analyzing signals. It is able to generate, read and write signals. It analyzes signals using a discrete Fourier transform (provided by Numpy). It has built in functions to create eleborate Bode plots.
Utilities for working with experimental fluid mechanics datasets
Threaded implementation of grid-based Bader charge analysis.
Using neural nets to classify SANS data to scattered shapes
Python Library to calculate all types of Physics Formulae, both for calculations and research
A zero-configuration image analysis algorithm that can identify and extract monolayer graphene features from a single RGB image.
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