2018
DOI: 10.1140/epjc/s10052-017-5481-6
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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 algo… Show more

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Cited by 123 publications
(114 citation statements)
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“…Secondary charged particles produced in the neutrino-argon interaction ionize the argon atoms, and ionization electrons are drifted to one side of the detector by an electric field, where they leave a projected image of the interaction as they deposit charge on the anode plane wires. The benefit of this technique is its superior imaging capability providing mm-resolution views of the interaction that allow to track even short secondary particles such as protons emerging from the nucleus [176][177][178]. In this particular application of a ν e appearance search, the advantage is that the discrimination of signatures produced by a single electron from a ν e interaction against the signature of photons produced for example in the decay of secondary π 0 s is superior to the Cherenkov technique used in the MiniBooNE experiment (see Fig.…”
Section: Icarus Sbndmentioning
confidence: 99%
“…Secondary charged particles produced in the neutrino-argon interaction ionize the argon atoms, and ionization electrons are drifted to one side of the detector by an electric field, where they leave a projected image of the interaction as they deposit charge on the anode plane wires. The benefit of this technique is its superior imaging capability providing mm-resolution views of the interaction that allow to track even short secondary particles such as protons emerging from the nucleus [176][177][178]. In this particular application of a ν e appearance search, the advantage is that the discrimination of signatures produced by a single electron from a ν e interaction against the signature of photons produced for example in the decay of secondary π 0 s is superior to the Cherenkov technique used in the MiniBooNE experiment (see Fig.…”
Section: Icarus Sbndmentioning
confidence: 99%
“…Track reconstruction consists of three main stages: hit reconstruction, candidate CR track reconstruction (PandoraCosmic), and candidate neutrino-induced track reconstruction (PandoraNu) [15]. The first stage includes reconstructing individual hits on the TPC wires.…”
Section: Track Reconstruction and Cosmic Background Rejection Prior Tmentioning
confidence: 99%
“…[44], and find that ∼ 12 events per kt·yr will be relevant. [62] However, we expect that detectors with good particle identification, e.g., LArTPC [46][47][48], will separate out such fake events very efficiently. In addition, the techniques of machine-learning-based particle identification have been developed in the field, e.g., Refs.…”
Section: Model Setupmentioning
confidence: 99%