Speaker
Description
MicroBooNE is a Liquid Argon Time Projection Chamber which has been taking neutrino data at Fermilab's Booster Neutrino Beamline since October 2015. One of its primary goals is to investigate the “Low Energy Excess” of neutrino events observed by the MiniBooNE experiment, for which candidate interpretations include neutrino neutral current (NC) resonant Delta production
with subsequent radiative decay or another anomalous source of single photon production in neutrino interactions. If found to have a higher than Standard Model predicted rate it could be a sizable contribution to the “Low Energy Excess”. This talk will describe the analysis developed to search for NC Delta radiative events in MicroBooNE, consisting of a boosted decision tree based event selection with enhanced background reduction using a convolutional neural network to target the dominant NC neutral pion background.
