SModelS v3.0 largely reproduces ATLAS pMSSM electroweak-ino constraints, with CMS inclusion and combinations tightening limits but leaving some light ino parameter space viable.
Search for electroweak production of charginos and neutralinos at√s=13 TeV in final states containing hadronic decays of WW, WZ, or WH and missing transverse momentum
2 Pith papers cite this work. Polarity classification is still indexing.
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2025 2representative citing papers
DeepMET is a neural-network-based missing transverse momentum estimator that improves resolution by 10-30% over existing CMS methods across a range of final states.
citing papers explorer
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On the coverage of electroweak-inos within the pMSSM with SModelS -- a comparison with the ATLAS pMSSM study
SModelS v3.0 largely reproduces ATLAS pMSSM electroweak-ino constraints, with CMS inclusion and combinations tightening limits but leaving some light ino parameter space viable.
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DeepMET: Improving missing transverse momentum estimation with a deep neural network
DeepMET is a neural-network-based missing transverse momentum estimator that improves resolution by 10-30% over existing CMS methods across a range of final states.