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Found 3 papers, 2 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.
Exotic Higgs Decays in Type-II 2HDMs at the LHC and Future 100 TeV Hadron Colliders
The exotic decay modes of non-Standard Model (SM) Higgses in models with extended Higgs sectors have the potential to serve as powerful search channels to explore the space of Two-Higgs Doublet Models (2HDMs) that cannot be studied effectively using conventional decay channels.
High Energy Physics - Phenomenology
