Dissecting new physics models through kinematic edges

TL;DR

This paper explores how kinematic edges in invariant mass distributions can distinguish between different new physics models, using a heavy Higgs-like resonance decaying into top-partners as a case study.

Contribution

It introduces a method to use invariant mass edges from specific decay channels to identify the nature of new physics models beyond the Standard Model.

Findings

Invariant mass edges can uniquely identify resonance properties.

Edges help differentiate between MSSM and non-MSSM scenarios.

Method provides a trigger for targeted detailed analysis.

Abstract

Kinematic edges in the invariant mass distributions of different final state particles are typically a signal of new physics. In this work we propose a scenario wherein these edges could be utilised in discriminating between different classes of models. To this effect, we consider the resonant production of a heavy Higgs like resonance (H 1 ) as a case study. Such states are a characteristic feature of many new physics scenarios beyond the Standard Model (SM). In the event of a discovery, it is essential to identify the true nature of the underlying theory. In this work we propose a channel, $H_1 \rightarrow t_2 t$, where t_2 is a vector-like gauge singlet top-partner that decays into W b, Zt, ht. Invariant mass distributions constructed out of these final states are characterized by the presence of kinematic edges, which are unique to the topology under consideration. Further, since all the final state particles are SM states, the position in the edges of these invariant mass distributions can be used to exclusively determine the masses of the resonances. Observation of these features are meant to serve as a trigger, thereby mandating a more detailed analysis in a particular direction of parameter space. The absence of these edge like features, in the specific invariant mass distributions considered here, in minimal versions of supersymmetric models (MSSM) also serves as a harbinger of such non MSSM-like scenarios.