Deep-learning top taggers or the end of QCD?
Machine learning based on convolutional neural networks can be used to study jet images from the LHC. Top tagging in fat jets offers a well-defined framework to establish our DeepTop approach and compare its performance to QCD-based top taggers. We first optimize a network architecture to identify t...
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| Main Authors: | , , |
|---|---|
| Format: | Article (Journal) |
| Language: | English |
| Published: |
May 2, 2017
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| In: |
Journal of high energy physics
Year: 2017, Issue: 5 |
| ISSN: | 1029-8479 |
| DOI: | 10.1007/JHEP05(2017)006 |
| Online Access: | Verlag, kostenfrei, Volltext: http://dx.doi.org/10.1007/JHEP05(2017)006 Verlag, kostenfrei, Volltext: https://link.springer.com/article/10.1007/JHEP05(2017)006 
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| Author Notes: | Gregor Kasieczka, Tilman Plehn, Michael Russell and Torben Schell |
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