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This paper reports the results of an experiment in high energy physics: using the power of the "crowd" to solve difficult experimental problems linked to tracking accurately the trajectory of particles in the Large Hadron Collider (LHC).
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in preparation
Amrouche, S., et al.: The Tracking Machine Learning Challenge : Throughput phase
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URL https://www.kaggle.com/c/flavours-of-physics
Flavours of Physics: Finding τ → μ μ μ \tau\rightarrow\mu\mu\mu
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URL https://home.cern/topics/large-hadron-collider
the Large Hadron Collider at CERN
Cited in the paper.
URL http://opendata.cern.ch
TrackML data set to appear on
Cited in the paper.
URL https://archive.ics.uci.edu/ml/datasets.html
TrackML data set to appear on
Cited in the paper.
URL https://sites.google.com/site/trackmlparticle/
TrackML particle tracking challenge main site
Cited in the paper.