MicroBooNE collaboration operates a 170 t(85 t active) Liquid Argon Projection Chamber (LArTPC) 470m away from the Booster Neutrino Beam (BNB) at Fermilab. After running stably for four years, MicroBooNE has accumulated 1.41E21 POT beam data of which 95% are muon neutrinos. The primary physics goal of MicroBooNE is to understand the Low Energy Excess(LEE) where an excess of electron neutrino-like events was observed by MiniBooNE at a similar L/E along the same beam line. Progress made in understanding LArTPC technology and neutrino-Argon cross sections have put us in a better position to study the LEE. MicroBoonE has been pursing the LEE result with three parallel approaches including the Pandora-, the WireCell- and the Deep Learning-based analyses. Many of these approaches efforts are entering mature stages, with many key aspects of the LEE selection and systematics fully demonstrated. In this talk, I will present the status of MicroBooNE analysis, with emphasis placed on the status of LEE analysis efforts using Deep Learning.
Alden Fan / Christina Ignarra / Eric Miller
