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DOE OSTI Β· 3374725

Optimal transport for 𝑒/πœ‹ 0 particle classification in LArTPC neutrino experiments

Abstract

The efficient classification of electromagnetic activity from πœ‹ 0 and electrons remains an open problem in the reconstruction of neutrino interactions in liquid argon time projection chamber (LArTPC) detectors. We address this problem using the mathematical framework of optimal transport (OT), which has been successfully employed for event classification in other high energy physics contexts and is ideally suited to the high-resolution calorimetry of LArTPCs. Using a publicly available simulated dataset from the MicroBooNE Collaboration, we show that OT methods achieve state-of-the-art reconstruction performance in 𝑒/πœ‹ 0 classification. The success of this first application indicates the broader promise of OT methods for LArTPC-based neutrino experiments.

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BibTeXRIS

Caratelli, David [University of California, Santa Barbara, CA (United States)] (ORCID:0000000217616595), Craig, Nathaniel [University of California, Santa Barbara, CA (United States); Kavli Institute for Theoretical Physics, Santa Barbara, CA (United States)] (ORCID:0000000322148447), Fang, Chuyue [University of California, Santa Barbara, CA (United States)] (ORCID:0009000072597211), Howard, Jessica N. [University of California, Santa Barbara, CA (United States); Kavli Institute for Theoretical Physics, Santa Barbara, CA (United States)] (ORCID:0000000182957727). 2026-04-08. Optimal transport for 𝑒/πœ‹ 0 particle classification in LArTPC neutrino experiments. https://doi.org/10.1103/6zws-fnrf

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