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Despite the success of the Standard Model of particle physics, several evidences point toward the existence of physics beyond the Standard Model (BSM). Supersymmetry is a compelling BSM theory but is strongly constrained by many experiments, especially the ones conducted at the Large Hadron Collider (LHC). However, LHC experiments are conducted following a channel-by-channel approach and typically interpret their data within the simplified model framework. Therefore, a reinterpretation effort is needed in order to evaluate how these limits apply to more realistic models.
Here, we will introduce the reinterpretation tool SModelS, and in particular its new feature of allowing for the combination of approximately uncorrelated LHC analyses through a global likelihood. This feature will then be used to derive global constraints on the electroweak-ino (EW-ino) sector of the minimal supersymmetric extension of the Standard Model. More precisely, the presented work uses the dynamical combination of up to 16 prompt EW-ino LHC searches, and studies which combinations maximise the sensitivity in different regions of the parameter space, how fluctuations in the data in individual analyses influence the global likelihood, and what is the resulting exclusion power of the combination compared to the analysis-by-analysis approach. Moreover, the absence of positive results and the stringent constraints reflect the need to shift from the usual top-bottom approach. The proto-model machine goes in that direction and proposes a more model-independent, data-driven approach aimed at highlighting dispersed BSM signals should they be hiding in LHC data. This presentation will introduce an improved version of this machine, with a more furnished database, a refined statistical treatment, and the possibility to probe off-shell regions of the parameter space. A first application to the LHC searches for supersymmetric signatures from the production of EW-inos with compressed mass spectra will also be discussed.
To connect by Zoom: https://cern.zoom.us/j/66412468288?pwd=VBATcxbK7cgFmzbexR1bMup2rQasbi.1
(Meeting ID: 664 1246 8288, passcode: 510355)