Identifying Dark Matter Event Topologies at the LHC
Yang Bai, Hsin-Chia Cheng

TL;DR
This paper proposes a method to identify dark matter event topologies at the LHC by analyzing invariant mass distributions of visible particles, enabling the distinction of different decay chain structures with relatively few events.
Contribution
It introduces a novel approach using invariant mass end-point functions to determine event topologies involving dark matter particles, including complex scenarios with multiple jets and initial state radiation.
Findings
Event topologies can be identified with a few hundred signal events.
Invariant mass end-point functions effectively distinguish different decay chain structures.
Method is adaptable to other topologies, including those with leptons.
Abstract
Assuming dark matter particles can be pair-produced at the LHC from cascade decays of heavy particles, we investigate strategies to identify the event topologies based on the kinematic information of final state visible particles. This should be the first step towards measuring the masses and spins of the new particles in the decay chains including the dark matter particle. As a concrete example, we study in detail the final states with 4 jets plus missing energy. This is a particularly challenging scenario because of large experimental smearing effects and no fundamental distinction among the 4 jets. Based on the fact that the invariant mass of particles on the same decay chain has an end point in its distribution, we define several functions which can distinguish different topologies depending on whether they exhibit the end-point structure. We show that all possible topologies (e.g.,…
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