Organized by: Prof. Lu Lu
Recent Results from MicroBooNE Addressing the MiniBooNE Anomaly Using Deep-Learning-Based Reconstruction
Date: Thursday, February 3rd
Time: 2:30 pm - 3:30 pm
Place: Chamberlin 4274 (or
Speaker: Lauren Yates, Fermilab
Abstract: The MicroBooNE experiment uses a liquid argon time projection chamber (LArTPC) located on-axis in the Booster Neutrino Beam at Fermilab to perform a wide variety of physics measurements. Recently, MicroBooNE released its first results addressing the nature of the anomalous excess of low-energy interactions previously observed by the MiniBooNE collaboration. This seminar will focus on an approach that isolates electron neutrino interactions consistent with the kinematics of charged-current quasi-elastic (CCQE) events. The topology of such signal events has a final state with one electron and one proton (1e1p). Multiple novel techniques are employed to identify a 1e1p final state, including particle identification that uses two methods of deep-learning-based LArTPC image analysis and event selection using a boosted decision-tree ensemble trained to recognize two-body scattering kinematics.
Host: Lu Lu