The Pandora multi-algorithm approach to automated pattern recognition of cosmic-ray muon and neutrino events in the MicroBooNE detector

Abstract

The development and operation of Liquid-Argon Time-Projection Chambers 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 paper describes details of the chain of over one hundred Pandora algorithms and tools used to reconstruct cosmic-ray muon and neutrino events in the MicroBooNE detector. Metrics that assess the current pattern-recognition performance are presented for simulated MicroBooNE events, using a selection of final-state event topologies.

Preprint to be submitted to The European Physical Journal C

References in corpus (1)

• Noise Characterization and Filtering in the MicroBooNE Liquid Argon TPC

Cited by in corpus (6)

• Dark Matter Annihilation to Neutrinos
• Calibration of the charge and energy loss per unit length of the MicroBooNE liquid argon time projection chamber using muons and protons
• Reconstruction and Measurement of $\mathcal{O}$(100) MeV Energy Electromagnetic Activity from ${\pi }^0\to \gamma \gamma$ Decays in the MicroBooNE LArTPC
• Searching for Boosted Dark Matter via Dark-Strahlung
• Scalable, End-to-End, Deep-Learning-Based Data Reconstruction Chain for Particle Imaging Detectors
• Design and performance of a 35-ton liquid argon time projection chamber as a prototype for future very large detectors