ATLAS Run 2 and Run 3 analysis framework for AnalysisTop and AnalysisBase for proton-smashing physics
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Updated
Jul 9, 2024 - C++
ATLAS Run 2 and Run 3 analysis framework for AnalysisTop and AnalysisBase for proton-smashing physics
A Deep learning library for neutrino telescopes
Monte Carlo-based data analysis
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.
Matrix element calculations as used in JHUGen. MELA is an important tool that was used for the Higgs boson discovery and for precise measurements of its structure and interactions. Please see the website https://spin.pha.jhu.edu/ and papers cited there for more details, and kindly cite those papers when using this code.
Common framework for all cp3-llbb analyses
A userspace workflow management tool for harnessing non-dedicated resources for high-throughput workloads.
Potku is analysis and simulation software for ToF-ERD measurements
Unbinned likelihood analysis code for astroparticle physics datasets
Reconstruction of top quark decay using machine learning
Matterwave group data analysis library
AIBirds 2017 winner, Eagle's Wing. AIBird 2017 results : https://aibirds.org/angry-birds-ai-competition/competition-results.html
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.
Computational Methods for Physicist: Projects in Computational Physics
Machine Learning based Analysis Framework for physics on top of REP
CMSSW package to save basic physics objects in a simple ROOT format
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