Vertex-Finding and Reconstruction of Contained Two-track Neutrino Events in the MicroBooNE Detector Abratenko, P. García Gámez, Diego MicroBooNE collaboration This material is based upon work supported by the following: the U.S. Department of Energy,Office of Science, Offices of High Energy Physics and Nuclear Physics; the U.S. National ScienceFoundation; the Swiss National Science Foundation; the Science and Technology Facilities Councilof the United Kingdom; and The Royal Society (United Kingdom). Additional support for thelaser calibration system and cosmic ray tagger was provided by the Albert Einstein Center for Fundamental Physics. Fermilab is operated by Fermi Research Alliance, LLC under Contract No.DE-AC02-07CH11359 with the United States Department of Energy. 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 5cm. 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 ~ 1 GeV. The algorithms are publicly available on a GITHUB repository [1]. 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. 2021-03-12T12:52:41Z 2021-03-12T12:52:41Z 2020-12-07 info:eu-repo/semantics/article Publisher version: Abratenko, P., Alrashed, M., An, R., Anthony, J., Asaadi, J., Ashkenazi, A., ... & Smith, A. (2021). Vertex-finding and reconstruction of contained two-track neutrino events in the MicroBooNE detector. Journal of Instrumentation, 16(02), P02017. [https://doi.org/10.1088/1748-0221/16/02/P02017] http://hdl.handle.net/10481/67176 10.1088/1748-0221/16/02/P02017 eng http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess Atribución-NoComercial-SinDerivadas 3.0 España IOP Publishing