We present results on the reconstruction of electromagnetic (EM) activity from photons produced in charged current ν µ interactions with final state π 0 s. We employ a fully-automated reconstruction chain capable of identifying EM showers of O(100) MeV energy, relying on a combination of traditional reconstruction techniques together with novel machine-learning approaches. These studies demonstrate good energy resolution, and good agreement between data and simulation, relying on the reconstructed invariant π 0 mass and other photon distributions for validation. The reconstruction techniques developed are applied to a selection of ν µ + Ar → µ + π 0 + X candidate events to demonstrate the potential for calorimetric separation of photons from electrons and reconstruction of π 0 kinematics.
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