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Tracking by Neural Nets
Current track reconstruction methods start with two points and then for each layer loop through all possible hits to find proper hits to add to that track. Another idea would be to use this large number of already reconstructed events and/or simulated data and train a machine on this data to find tr...
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Lenguaje: | eng |
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2015
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Acceso en línea: | http://cds.cern.ch/record/2048037 |