The development and operation of Liquid-Argon Time-Projection Chambers (LArTPCs) for neutrino physics has created a need for new approaches to pattern recognition in order to fully exploit the imaging capabilities offered by this technology. Whereas the human brain can excel at identifying features in the recorded events, it is a significant challenge to develop an automated, algorithmic solution. The Pandora Software Development Kit provides functionality to aid the design and implementation of pattern-recognition algorithms. It promotes the use of a multi-algorithm approach to pattern recognition, in which individual algorithms each address a specific task in a particular topology. Many tens of algorithms then carefully build up a picture of the event and, together, provide a robust automated pattern-recognition solution. This seminar describes some of the key Pandora algorithms used to reconstruct cosmic-ray muon and neutrino interactions in LArTPCs.
Costas Andreopoulos, Jan Kretzschmar