An open-source machine learning framework for global analyses of parton distributions.
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Jun 20, 2025 - Python
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lhc
Here are 33 public repositories matching this topic...
SModelS
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Jun 20, 2025 - Python
Smooth inference for reinterpretation studies
statistics inference bsm fitting recast lhc hep-ph hep-ex new-physics effective-field-theory phenomenology
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Jun 2, 2025 - Python
BU HEP analysis code based on the coffea framework.
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Feb 7, 2022 - Python
D<ee>p Learning [dev library]
deep-learning pytorch high-energy-physics cern cms-experiment lhc optimal-transport normalizing-flows domain-adaptation xgboost-algorithm graph-neural-networks sliced-wasserstein-distance mutual-information-neural-estimator icenet lipschitz-network iceboost kolmogorov-arnold-networks deepefficiency
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Jun 18, 2025 - Python
A package to handle cross-section grid data
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Sep 3, 2024 - Python
Using Machine Learning to Simulate Distributions of Observables at the Large Hadron Collider
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Jul 24, 2024 - Python
L1 Trigger menu VHDL producer
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Jun 3, 2025 - Python
Signal processing techniques to find accelerator's tune and test how this tune changes due to some parameters. FFT and NAFF algorithms were used.
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Apr 30, 2018 - Python
Returns the bunch pattern for a given LHC fill for use in offline analyses.
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Jul 31, 2017 - Python
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