Pandora automated pattern recognition for LArTPC event reconstruction at DUNE

The Deep Underground Neutrino Experiment (DUNE) is a next-generation long-baseline neutrino oscillation experiment with the main goal of measuring CP-violation in the neutrino sector and unambiguously determining neutrino mass hierarchy, as part of a broad research programme. The DUNE Far Detector will employ four high-granularity Liquid-Argon Time-Projection Chambers (LArTPCs) to produce photographic-quality images of neutrino interactions. A crucial step is then the analysis of these images, using advanced pattern-recognition techniques to reconstruct the visible particles in often complex topologies. Automated event reconstruction with the Pandora Software Development Kit fully harnesses the LArTPC imaging capabilities thanks to a multi-algorithm paradigm, integrating traditional pattern recognition with novel machine-learning approaches. This talk provides an overview of the techniques employed in Pandora for event reconstruction at DUNE, and discusses approaches to tune the reconstruction for DUNE's different physics goals.