Searching for Multijet Resonances at the LHC

TL;DR

This paper explores the potential for discovering multijet resonances at the LHC, focusing on colored scalars and vectors, proposing a robust search strategy that accounts for systematic uncertainties.

Contribution

It introduces a novel search strategy for colored resonances at the LHC that is robust against systematic errors and models these resonances with a general phenomenological Lagrangian.

Findings

Strong discovery potential for scalars with early LHC data

Enhanced detection prospects for vectors with more data

Proposed method is self-calibrating and systematic-error resilient

Abstract

Recently it was shown that there is a class of models in which colored vector and scalar resonances can be copiously produced at the Tevatron with decays to multijet final states, consistent with all experimental constraints and having strong discovery potential. We investigate the collider phenomenology of TeV scale colored resonances at the LHC and demonstrate a strong discovery potential for the scalars with early data as well as the vectors with additional statistics. We argue that the signal can be self-calibrating and using this fact we propose a search strategy which we show to be robust to systematic errors typically expected from Monte Carlo background estimates. We model the resonances with a phenomenological Lagrangian that describes them as bound states of colored vectorlike fermions due to new confining gauge interactions. However, the phenomenological Lagrangian treatment is quite general and can represent other scenarios of microscopic physics as well.