Development and Optimization of the Pandora Reconstruction for the DUNE Near Detector

The Deep Underground Neutrino Experiment (DUNE) is a next-generation long-baseline neutrino oscillation experiment designed to provide a definitive answer to the neutrino mass ordering, rigorously test the three-flavor neutrino paradigm, as well as to probe physics beyond the standard model. DUNE will consist of a Near Detector (ND) and a Far Detector (FD), both using the Liquid Argon Time Projection Chamber (LArTPC) technology to produce fine-grained representations of neutrino interactions. The DUNE ND complex, located close to the neutrino beam source, enables high-statistics, high-precision measurements of neutrino interactions, that are crucial to constraint flux and cross-section uncertainties to achieve DUNE’s physics goals. A state-of-the art reconstruction software such as Pandora is necessary to meet these requirements and to handle the very high neutrino event rate at the ND. Pandora uses a multi-algorithm approach to gradually reconstruct the structures and features of neutrino interactions. This talk presents recent development and optimization of the Pandora reconstruction for the for the ND, and a first look at performance metrics.