The development and operation of Liquid Argon Time Projection Chambers (LAr TPCs) for neutrino physics has created a need for new approaches to pattern recognition, in order to fully exploit the superb imaging capabilities offered by this technology. The Pandora Software Development Kit provides functionality to aid the process of designing, implementing and running pattern recognition algorithms. It promotes the use of a multi-algorithm approach to pattern recognition: individual algorithms each address a specific task in a particular topology; a series of many tens of algorithms then carefully builds-up a picture of the event. The input to the Pandora pattern recognition is a list of 2D Hits. The output from the chain of over 70 algorithms is a hierarchy of reconstructed 3D Particles, each with an identified particle type, vertex and direction.
CITATION STYLE
Marshall, J. S., Blake, A. S. T., Thomson, M. A., Escudero, L., De Vries, J., & Weston, J. (2017). The Pandora multi-algorithm approach to automated pattern recognition in LAr TPC detectors. In Journal of Physics: Conference Series (Vol. 888). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/888/1/012142
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