@misc{10481/71012,
year = {2021},
month = {3},
url = {http://hdl.handle.net/10481/71012},
abstract = {An accurate and efficient event reconstruction is required to realize the full scientific
capability of liquid argon time projection chambers (LArTPCs). The current and future neutrino
experiments that rely on massive LArTPCs create a need for new ideas and reconstruction approaches.
Wire-Cell, proposed in recent years, is a novel tomographic event reconstruction method
for LArTPCs. The Wire-Cell 3D imaging approach capitalizes on charge, sparsity, time, and geometry
information to reconstruct a topology-agnostic 3D image of the ionization electrons prior
to pattern recognition. A second novel method, the many-to-many charge-light matching, then
pairs the TPC charge activity to the detected scintillation light signal, thus enabling a powerful
rejection of cosmic-ray muons in the MicroBooNE detector. A robust processing of the scintillation
light signal and an appropriate clustering of the reconstructed 3D image are fundamental to this
technique. In this paper, we describe the principles and algorithms of these techniques and their successful
application in the MicroBooNE experiment. A quantitative evaluation of the performance
of these techniques is presented. Using these techniques, a 95% efficient pre-selection of neutrino
charged-current events is achieved with a 30-fold reduction of non-beam-coincident cosmic-ray
muons, and about 80% of the selected neutrino charged-current events are reconstructed with at
least 70% completeness and 80% purity.},
organization = {Fermi Research Alliance, LLC (FRA)
	DE-AC02-07CH11359},
organization = {United States Department of Energy (DOE)},
organization = {National Science Foundation (NSF)},
organization = {Swiss National Science Foundation (SNSF)
European Commission},
organization = {Science and Technology Facilities Council (STFC), United Kingdom Research and Innovation},
organization = {Royal Society of London},
publisher = {IOP Publishing},
keywords = {LArTPC},
keywords = {MicroBooNE},
keywords = {Wire-Cell},
keywords = {3D imaging},
keywords = {Charge-light matching},
keywords = {Clustering},
title = {Neutrino Event Selection in the MicroBooNE Liquid Argon Time Projection Chamber using Wire-Cell 3-D Imaging, Clustering, and Charge-Light Matching},
author = {Abratenko, P. and García Gámez, Diego and MicroBooNE Collaboration},
}