Quark-gluon discrimination in the search for gluino pair production at the LHC
- Indian Institute of Science, Bangalore (India)
- Univ. of Pittsburgh, Pittsburgh, PA (United States)
- The Univ. of Tokyo, Kashiwa (Japan); KEK Theory Center and Sokendai, Tsukuba (Japan)
- Korea Advanced Institute of Science and Technology, Yuseong-gu (Republic of Korea)
- Cavendish Lab., Cambridge (United Kingdom)
Here, we study the impact of including quark- and gluon-initiated jet discrimination in the search for strongly interacting supersymmetric particles at the LHC. Taking the example of gluino pair production, considerable improvement is observed in the LHC search reach on including the jet substructure observables to the standard kinematic variables within a multivariate analysis. In particular, quark and gluon jet separation has higher impact in the region of intermediate mass-gap between the gluino and the lightest neutralino, as the difference between the signal and the standard model background kinematic distributions is reduced in this region. We also compare the predictions from different Monte Carlo event generators to estimate the uncertainty originating from the modelling of the parton shower and hadronization processes.
- Research Organization:
- Univ. of Wisconsin, Madison, WI (United States)
- Sponsoring Organization:
- USDOE
- Grant/Contract Number:
- FG02-95ER40896
- OSTI ID:
- 1346819
- Journal Information:
- Journal of High Energy Physics (Online), Vol. 2017, Issue 1; ISSN 1029-8479
- Publisher:
- Springer BerlinCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Web of Science
Weakly Supervised Classification in High Energy Physics | text | January 2017 |
Systematics of quark/gluon tagging | text | January 2017 |
Jet Substructure Studies with CMS Open Data | text | January 2017 |
Casimir Meets Poisson: Improved Quark/Gluon Discrimination with Counting Observables | text | January 2017 |
Spectral Analysis of Jet Substructure with Neural Networks: Boosted Higgs Case | text | January 2018 |
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