Taking aim at the wino-higgsino plane with the LHC
Linda M. Carpenter, Humberto Gilmer, Junichiro Kawamura, Taylor Murphy

TL;DR
This paper develops an improved LHC search strategy for higgsino and mixed higgsino-wino states in the MSSM, projecting the potential to exclude large parts of the natural wino-higgsino parameter space at high luminosities.
Contribution
It introduces a novel search method using a joint likelihood analysis with a hadronically tagged vector boson, enhancing sensitivity to higgsino-wino states in the MSSM.
Findings
Sensitivity to higgsino-like states up to 550 GeV.
Sensitivity to mixed states above 300 GeV.
Full HL-LHC run can exclude much of the natural wino-higgsino parameter space.
Abstract
In this work we explore multiple search strategies for higgsinos and mixed higgsino-wino states in the MSSM and project the results onto the plane. Assuming associated production of higgsino-like pairs with a boson, we develop a search in a channel characterized by a hadronically tagged vector boson accompanied by missing energy. We use as our template an ATLAS search for dark matter produced in association with a hadronically decaying vector boson, but upgrade the search by implementing a joint likelihood analysis, binning the missing transverse energy distribution, which greatly improves the search sensitivity. For higgsino-like states (more than 96% admixture) we find sensitivity to masses up to 550 GeV. For well-mixed higgsino-wino states (70-30% higgsino) we still find sensitivities above 300 GeV. Using this newly proposed search, we draw a phenomenological map of…
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Taxonomy
TopicsParticle physics theoretical and experimental studies · Dark Matter and Cosmic Phenomena · Computational Physics and Python Applications
