# Neutrino 2018 - XXVIII International Conference on Neutrino Physics and Astrophysics

4-9 June 2018
Heidelberg
Europe/Berlin timezone
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# Contribution Poster accelerator

Poster (participating in poster prize competition)

# Vertex-Finding and Reconstruction for Contained Two-track Neutrino Events in the MicroBooNE Detector

## Authorship annotation

On behalf of the MicroBooNE collaboration

## Session and Location

Wednesday Session, Poster Wall #73 (Auditorium Gallery Right)

## Abstract content

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.

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