Speaker
Dr
Adrien Hourlier
(Massachusetts Institute of Technology)
Description
MicroBooNE is a 90 ton fiducial volume Liquid Argon TPC (LArTPC) neutrino experiment on the Booster Neutrino Beamline at the Fermi National Accelerator Laboratory. One of MicroBooNE’s primary physics goal is to investigate the excess of $\nu_e$ seen by MiniBooNE in the [200-600] MeV range. MicroBooNE will constrain the excess of $\nu_e$ from their expected intrinsic component in the beam by using the $\nu_\mu$ as a reference. Our Low Energy Excess analysis uses deep learning tools applied to high resolution images from LArTPCs. We present a novel 3D event reconstruction based on Computer Vision tools for vertex finding, and a stochastic neighbor search for the full track reconstruction.
In addition, we have developed a self-diagnostic that allows recognition of poorly reconstructed tracks. Using the output of our 3D reconstruction, and a first particle identification stage, we demonstrate an energy resolution of 5.5% over the [100-1500] MeV range on simulated muon neutrino events.
| Authorship annotation | On behalf of the MicroBooNE collaboration |
|---|---|
| Session and Location | Wednesday Session, Poster Wall #73 (Auditorium Gallery Right) |
| Poster included in proceedings: | yes |
Primary author
Dr
Adrien Hourlier
(Massachusetts Institute of Technology)
Co-authors
Mr
Rui An
(Illinois Institute of Technology)
Mr
Victor Genty
(Columbia University Nevis Labs)
