We present results on the reconstruction of electromagnetic (EM) activity from photons produced in charged current $\nu_{ \mu}$ 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 $\nu_{ \mu} + { \rm Ar} \rightarrow \mu + \pi^0 + X$ candidate events to demonstrate the potential for calorimetric separation of photons from electrons and reconstruction of $\pi^0$ kinematics.
Categories: hep-ex physics.ins-det