The Pandora multi-algorithm approach to pattern recognition in MicroBooNE

Pattern recognition is an essential stage in the reconstruction of particle interactions in liquid argon time projection chamber detectors, which are used to study the properties of neutrinos. The novel multi-algorithm approach implemented in the Pandora software uses many tens of algorithms to gradually build up an image of the event and has been used successfully for pattern recognition in a number of particle physics experiments including MicroBooNE at Fermilab, IL, USA. This talk outlines the operational principles of MicroBooNE and the algorithm flows used by Pandora for reconstructing and identifying neutrino interactions in the dense cosmic ray environment recorded by the detector.