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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 patter...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1140/epjc/s10052-017-5481-6

Authors


Acciarri, R More by this author
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Institution:
University of Oxford
Division:
MPLS Division
Department:
Physics; Particle Physics
Oxford college:
Magdalen College
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Institution:
University of Oxford
Division:
MPLS Division
Department:
Physics; Particle Physics
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US Department of Energy More from this funder
National Science Foundation More from this funder
Swiss National Science Foundation More from this funder
Royal Society More from this funder
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Publisher:
Springer Publisher's website
Journal:
European Physical Journal C Journal website
Volume:
78
Issue:
1
Pages:
82
Publication date:
2018-01-29
Acceptance date:
2017-12-18
DOI:
EISSN:
1434-6052
ISSN:
1434-6044
Pubs id:
pubs:713679
URN:
uri:9b74d3a2-e9c9-4436-8807-f875d3cfbf72
UUID:
uuid:9b74d3a2-e9c9-4436-8807-f875d3cfbf72
Local pid:
pubs:713679

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