We present results on the reconstruction of electromagnetic (EM) activity from photons produced in charged current $ u_{mu}$ interactions with final state $pi^0$s. We employ a fully-automated reconstruction chain capable of identifying EM showers of $mathcal{O}$(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 $pi^0$ mass and other photon distributions for validation. The reconstruction techniques developed are applied to a selection of $ u_{mu} + {rm Ar} rightarrow mu + pi^0 + X$ candidate events to demonstrate the potential for calorimetric separation of photons from electrons and reconstruction of $pi^0$ kinematics.
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