How to improve top-quark tagging
In time for the first tests on LHC data we introduce a set of improvements and tests of purely kinematic top tagging algorithms. First, we show how different jet algorithms can be used for different transverse momentum regimes. Combining pruning and filtering in the reconstruction can enhance the si...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
1 February 2012
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| In: |
Physical review. D, Particles, fields, gravitation, and cosmology
Year: 2012, Jahrgang: 85, Heft: 3, Pages: 034029 |
| ISSN: | 1550-2368 |
| DOI: | 10.1103/PhysRevD.85.034029 |
| Online-Zugang: | Verlag, Volltext: http://dx.doi.org/10.1103/PhysRevD.85.034029 Verlag, Volltext: https://link.aps.org/doi/10.1103/PhysRevD.85.034029 |
| Verfasserangaben: | Tilman Plehn, Michael Spannowsky, Michihisa Takeuchi |
MARC
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| 520 | |a In time for the first tests on LHC data we introduce a set of improvements and tests of purely kinematic top tagging algorithms. First, we show how different jet algorithms can be used for different transverse momentum regimes. Combining pruning and filtering in the reconstruction can enhance the signal over background ratio significantly, while larger jet radii only give minor improvements. Finally, bottom tagging can be added to the top tagger, but at least for the HEPTopTagger does not improve the kinematic selection algorithm. | ||
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