Fatjet Signatures of Quintuplet Fermions at the LHC
Sourabh Dube, Nilanjana Kumar, Shriyansh Ranjan

TL;DR
This paper investigates the collider signatures of quintuplet fermions in a simplified model extending the standard model, focusing on their decay into boosted gauge bosons and the potential for detection at the LHC with advanced jet techniques.
Contribution
It introduces a novel simplified model with fermion quintuplets and scalar quadruplets, analyzing their collider signatures and detection prospects using jet substructure techniques.
Findings
Significance exceeds 5σ for certain channels at 3000 fb⁻¹ luminosity.
Highly boosted W and Z bosons can be identified as fatjets.
Advanced analysis techniques improve signal detection over backgrounds.
Abstract
This paper explores a simplified extension of the standard model featuring a neutral fermion quintuplet and a scalar quadruplet, which together generate neutrino masses through tree and loop level mechanisms. The quintuplet fermions decay into standard model gauge bosons via the scalars, producing unique collider signatures at the LHC characterized by multilepton and multijet final states. The study focuses on the pair production of quintuplet fermions in the 700-1200 GeV mass range, where their decays produce highly boosted W and Z bosons identifiable as fatjets. Emphasis is placed on the production and decay of doubly charged fermions due to their higher cross section. Advanced jet substructure and kinematic techniques are applied to enhance sensitivity by reducing standard model backgrounds. A detailed analysis of signal significance is performed in the two lepton, two fatjet and…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsParticle physics theoretical and experimental studies · Neutrino Physics Research · Computational Physics and Python Applications
