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  • 2002.09375

    Rights statement: This is an author-created, un-copyedited version of an article accepted for publication/published in Journal of Instrumentation. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at doi: 10.1088/1748-0221/16/02/P02017

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Vertex-finding and reconstruction of contained two-track neutrino events in the MicroBooNE detector

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published
Article numberP02017
<mark>Journal publication date</mark>11/02/2021
<mark>Journal</mark>Journal of Instrumentation
Volume16
Number of pages35
Publication StatusPublished
<mark>Original language</mark>English

Abstract

We describe algorithms developed to isolate and accurately reconstruct two-track events that are contained within the MicroBooNE detector. This method is optimized to reconstruct two tracks of lengths longer than \SI{5}{\centi\meter}. This code has applications to searches for neutrino oscillations and measurements of cross sections using quasi-elastic-like charged current events. The algorithms we discuss will be applicable to all detectors running in Fermilab's Short Baseline Neutrino program (SBN), and to any future liquid argon time projection chamber (LArTPC) experiment with beam energies $\sim 1$ GeV. The algorithms are publicly available on a GITHUB repository\cite{githubcode}. This reconstruction offers a complementary and independent alternative to the Pandora reconstruction package currently in use in LArTPC experiments, and provides similar reconstruction performance for two-track events.

Bibliographic note

This is an author-created, un-copyedited version of an article accepted for publication/published in Journal of Instrumentation. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at doi: 10.1088/1748-0221/16/02/P02017