DNN analysis of pp → WR → ℓNR → ℓℓjj at LHC Run 2 and HL-LHC improves exclusion limits on m_WR and m_NR for unmixed, maximal-mixing, and PMNS-like scenarios over cut-based methods and probes the |Ve1|–|Vμ1| plane.
Same Sign versus Opposite Sign Dileptons as a Probe of Low Scale Seesaw Mechanisms
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
abstract
We calculate the ratio $R_{\ell\ell}$ of same sign (SS) to opposite sign (OS) dileptons in type I and generalized inverse seesaw models and show that it can be anywhere between 0 and 1 depending on the detailed texture of the right-handed neutrino mass matrix. Measurement of $R_{\ell\ell}$ in hadron colliders can therefore provide a way to probe the nature of seesaw mechanism and also to distinguish between the two types of seesaw mechanisms. We work within the framework of left-right symmetric model as an example. We emphasize that coherence of the final states in the $W_R$ decay is crucial for this discussion and it requires the right-handed neutrinos to be highly degenerate. We isolate the range of parameters in the model where this effect is observable at the LHC and future colliders.
fields
hep-ph 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Projects LHC and HL-LHC sensitivities to heavy neutrino mixing via dilepton channels in seesaw scenario, with dependence on R_ll and CP asymmetry.
citing papers explorer
-
Probing lepton flavor mixing in $W_R$ searches with machine learning at the LHC
DNN analysis of pp → WR → ℓNR → ℓℓjj at LHC Run 2 and HL-LHC improves exclusion limits on m_WR and m_NR for unmixed, maximal-mixing, and PMNS-like scenarios over cut-based methods and probes the |Ve1|–|Vμ1| plane.
-
Leptonic CP asymmetry and heavy neutrino searches in seesaw scenario
Projects LHC and HL-LHC sensitivities to heavy neutrino mixing via dilepton channels in seesaw scenario, with dependence on R_ll and CP asymmetry.