Resonance searches with an updated top tagger
The performance of top taggers, for example in resonance searches, can be significantly enhanced through an increased set of variables, with a special focus on final-state radiation. We study the production and the decay of a heavy gauge boson in the upcoming LHC run. For constant signal efficiency,...
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| Main Authors: | , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
June 30, 2015
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| In: |
Journal of high energy physics
Year: 2015, Issue: 6 |
| ISSN: | 1029-8479 |
| DOI: | 10.1007/JHEP06(2015)203 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1007/JHEP06(2015)203
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| Author Notes: | Gregor Kasieczka, Tilman Plehn, Torben Schell, Thomas Strebler and Gavin P. Salam |
MARC
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| 520 | |a The performance of top taggers, for example in resonance searches, can be significantly enhanced through an increased set of variables, with a special focus on final-state radiation. We study the production and the decay of a heavy gauge boson in the upcoming LHC run. For constant signal efficiency, the multivariate analysis achieves an increased background rejection by up to a factor 30 compared to our previous tagger. Based on this study and the documentation in the appendix we release a new HEPTopTagger2 for the upcoming LHC run. It now includes an optimal choice of the size of the fat jet, N-subjettiness, and different modes of Qjets. | ||
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