Anomalous Higgs couplings change the shape of the di-Higgs mass distribution, and an unsupervised clustering algorithm captures those shape differences more finely than a hand-defined taxonomy.
Better Higgs Measurements Through Information Geometry
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abstract
Information geometry can be used to understand and optimize Higgs measurements at the LHC. The Fisher information encodes the maximum sensitivity of observables to model parameters for a given experiment. Applied to higher-dimensional operators, it defines the new physics reach of any LHC signature. We calculate the Fisher information for Higgs production in weak boson fusion with decays into tau pairs and four leptons, and for Higgs production in association with a single top quark. In a next step we analyze how the differential information is distributed over phase space, which defines optimal event selections. Conversely, we consider the information in the distribution of a subset of the kinematic variables, showing which production and decay observables are the most powerful and how much information is lost in traditional histogram-based analysis methods compared to fully multivariate ones.
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Exploring anomalous couplings in Higgs boson pair production through shape analysis
Anomalous Higgs couplings change the shape of the di-Higgs mass distribution, and an unsupervised clustering algorithm captures those shape differences more finely than a hand-defined taxonomy.