Study of Pi0 Events in MicroBooNE and Applications to the Deep Learning Low-Energy Excess Search

In this poster, I will present a selection of events containing Pi0 particles. This selection uses tools in the deep learning (DL) reconstruction chain. We present the efficiency and energy resolution of the selection. We also present the use of these events in energy calibration using the reconstructed Pi0 mass. These events are used to understand the Pi0 background in the DL electron low energy excess (e-LEE) analysis. The low energy electron neutrino events in this analysis have one electron and one proton connected at the vertex. This topology can be mimicked by neutral current Pi0 events with a proton and with one gamma close to the event vertex. Similarly, charged current events with one gamma close to the vertex can be mistakenly interpreted as an electron neutrino event if a muon is mis-reconstructed as a proton. This makes Pi0 events an important background to the e-LEE analysis.