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Exploiting jet binning to identify the initial state of high-mass resonances

2016/05/31 by Markus A. Ebert, Stefan Liebler, Ian Moult +5 · 22 citations
Physics and Astronomy · #Collider #Event (particle physics) #Gluon #Hadron #High-Energy Particle Collisions Research #Jet (fluid) #Large Hadron Collider #Mechanics #Nuclear physics #Particle physics #Particle physics theoretical and experimental studies #Physics #Quantum Chromodynamics and Particle Interactions #Quark #Resonance (particle physics) #Scalar (mathematics) #hep-ex #hep-ph

paper · pdf · doi:10.1103/physrevd.94.051901

published in Physical review. D/Physical review. D. 94(5) (American Physical Society) · 6 pages, 2 figures, v2: journal version

openalex publication_date 2016/09/28 · arxiv created 2016/09/30 · arxiv updated 2016/10/05 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

Abstract

If a new high-mass resonance is discovered at the Large Hadron Collider, model-independent techniques to identify the production mechanism will be crucial to understand its nature and effective couplings to Standard Model particles. We present a powerful and model-independent method to infer the initial state in the production of any high-mass color-singlet system by using a tight veto on accompanying hadronic jets to divide the data into two mutually exclusive event samples (jet bins). For a resonance of several hundred GeV, the jet binning cut needed to discriminate quark and gluon initial states is in the experimentally accessible range of several tens of GeV. It also yields comparable cross sections for both bins, making this method viable already with the small event samples available shortly after a discovery. Theoretically, the method is made feasible by utilizing an effective field theory setup to compute the jet cut dependence precisely and model independently and to systematically control all sources of theoretical uncertainties in the jet binning, as well as their correlations. We use a 750 GeV scalar resonance as an example to demonstrate the viability of our method.

Citations