An open-source machine learning framework for global analyses of parton distributions.
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Updated
May 12, 2024 - Python
An open-source machine learning framework for global analyses of parton distributions.
Contribution to the Harald Fritzsch Memorial Volume edited by Gerhard Buchalla, Dieter Lüst and Zhi-Zhong Xing.
Transfer Learning with the Delphes and ATLAS simulation datasets
Extracting signal from a noisy background using Machine Learning techniques for a proton-proton collission.
Simulation framework for germanium experiments
It is used to define a detector readout topology, and access gas or other detector properties. It also implements processes including routines for event reconstruction from real detector data, and/or emulation of different physical response effects, such as electron diffusion.
2D Fluid Simulator for Bachelor Project in Computer Science Studies
Pages defining the website of the Scikit-HEP project.
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Simulation of electric and magnetic fields and particle tracking
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Python framework to measure differential cross-sections of particle physics processes using classical- and quantum-computing based unfolding techniques.
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Higgs to two tau lepton analysis based on NanoAOD-like samples from the CERN Open Data portal. Used as a simple payload in our hsf-training-cicd module.
A Deep learning library for neutrino telescopes
☢️📊 Progressive Web App MCA for gamma spectroscopy including file and live plot support via a serial interface.
Package to deal with particles, the PDG particle data table, PDGIDs, etc.
Package to parse decay files, describe and convert particle decays between digital representations.
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