Search for a 3+1 Sterile Neutrino with the MicroBooNE experiment using the Deep-Learning-based reconstruction

In this talk I present an appearance search for sterile neutrinos based on the 3+1 model in the MicroBooNE experiment. Recently released results by MicroBooNE show no sign of the MiniBooNE/LSND low-energy-excess anomaly. The 3+1 model examined here expands on the standard model of neutrinos by adding a fourth neutrino flavor and is not necessarily ruled out by the lack of a low energy excess. The search presented relies on Deep-Learning-based reconstruction tools and looks for charged current quasi-elastic (CCQE) events kinematically consistent with 2-body interaction. Using two orthogonal samples of CCQE electron neutrino events and CCQE muon neutrino events, I test this model allowing for electron neutrino appearance, electron neutrino disappearance, and muon neutrino disappearance. I first show the sensitivity to the oscillation parameters using the Feldman-Cousins method. Then, I show the best fit oscillation parameters based on the MicroBooNE data and compare it to the global best fit values.