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Found 2 papers, 1 papers with code
MadMiner: Machine learning-based inference for particle physics
Precision measurements at the LHC often require analyzing high-dimensional event data for subtle kinematic signatures, which is challenging for established analysis methods.
Effective LHC measurements with matrix elements and machine learning
One major challenge for the legacy measurements at the LHC is that the likelihood function is not tractable when the collected data is high-dimensional and the detector response has to be modeled.
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