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Localized anomaly detection with a calorimeter normalizing flow
data-analysishigh-energy-physics-experimenthigh-energy-physics-phenomenologyinstrumentation-and-detectorsmachine-learningstatistics-and-probability
Normalizing flows trained as fast calorimeter simulators also give the likelihood of each shower, which can serve as an anomaly score. Because this likelihood sums over every voxel, a signal confined to a few voxels can be lost in the fluctuations of the rest of the shower. For example, in a public
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