Looking for Minimal Inverse Seesaw scenarios at the LHC with Jet Substructure Techniques
Akanksha Bhardwaj, Arindam Das, Partha Konar, Arun Thalapillil

TL;DR
This paper explores minimal inverse seesaw models with heavy neutrinos at the LHC, proposing jet substructure techniques to improve detection and significantly tightening bounds on neutrino parameters.
Contribution
It introduces a novel collider signature using fat jets and jet substructure techniques to enhance detection of heavy neutrinos in inverse seesaw scenarios.
Findings
Enhanced bounds on RHN mass and mixing angles at 13 TeV LHC.
FND scenario can reach 5-sigma significance at high luminosity.
Proposed di-lepton plus fat jet channel improves detection prospects.
Abstract
Simple extensions of the Standard Model (SM) with additional Right Handed Neutrinos (RHNs) can elegantly explain the existence of small neutrino masses and their flavor mixings. Collider searches for sterile neutrinos are being actively pursued currently. Heavy RHNs may dominantly decay into after being produced at the LHC. In this paper, we consider collider signatures of heavy pseudo-Dirac neutrinos in the context of inverse seesaw scenario, with a sizable mixing with the SM neutrinos under two different flavor structures, viz., Flavor Diagonal (FD) and Flavor Non-Diagonal (FND) scenarios. For the latter scenario we use a general parametrization for the model parameters by introducing an arbitrary orthogonal matrix and nonzero Dirac and Majorana phases. We then perform a parameter scan to identify allowed parameter regions which satisfy all experimental constraints. As…
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