Discrimination of low missing energy look-alikes at the LHC
Kirtiman Ghosh, Satyanarayan Mukhopadhyay, Biswarup Mukhopadhyaya

TL;DR
This paper develops a systematic method using kinematic features to distinguish between different new physics models with low missing energy signatures at the LHC, focusing on their mass spectra and particle spins.
Contribution
It introduces a novel approach to differentiate low missing energy new physics scenarios at the LHC using combined kinematic features and detailed Monte Carlo analysis.
Findings
Models with ~600 GeV particles can be distinguished at 14 TeV LHC with 5-30 fb^{-1}.
The method effectively differentiates minimal models of supersymmetry, extra dimensions, and Littlest Higgs.
Non-minimal models may still pose challenges for discrimination.
Abstract
The problem of discriminating possible scenarios of TeV scale new physics with large missing energy signature at the Large Hadron Collider (LHC) has received some attention in the recent past. We consider the complementary, and yet unexplored, case of theories predicting much softer missing energy spectra. As there is enough scope for such models to fake each other by having similar final states at the LHC, we have outlined a systematic method based on a combination of different kinematic features which can be used to distinguish among different possibilities. These features often trace back to the underlying mass spectrum and the spins of the new particles present in these models. As examples of "low missing energy look-alikes", we consider Supersymmetry with R-parity violation, Universal Extra Dimensions with both KK-parity conserved and KK-parity violated and the Littlest Higgs model…
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