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An accurate and efficient event reconstruction is required to realize thefull scientific capability of liquid argon time projection chambers (LArTPCs).The current and future neutrino experiments that rely on massive LArTPCs createa need for new ideas and reconstruction approaches. Wire-Cell, proposed inrecent years, is a novel tomographic event reconstruction method for LArTPCs.The Wire-Cell 3D imaging approach capitalizes on charge, sparsity, time, andgeometry information to reconstruct a topology-agnostic 3D image of theionization electrons prior to pattern recognition. A second novel method, themany-to-many charge-light matching, then pairs the TPC charge activity to thedetected scintillation light signal, thus enabling a powerful rejection ofcosmic-ray muons in the MicroBooNE detector. A robust processing of thescintillation light signal and an appropriate clustering of the reconstructed3D image are fundamental to this technique. In this paper, we describe theprinciples and algorithms of these techniques and their successful applicationin the MicroBooNE experiment. A quantitative evaluation of the performance ofthese techniques is presented. Using these techniques, a 95% efficientpre-selection of neutrino charged-current events is achieved with a 30-foldreduction of non-beam-coincident cosmic-ray muons, and about 80\% of theselected neutrino charged-current events are reconstructed with at least 70%completeness and 80% purity.

Neutrino Event Selection in the MicroBooNE Liquid Argon Time Projection Chamber using Wire-Cell 3-D Imaging, Clustering, and Charge-Light Matching