  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.
