Muon ($g-2$) in $U(1)_{L_{\mu}-L_{\tau}}$ Scotogenic Model Extended with Vector like Fermion
Simran Arora, Monal Kashav, Surender Verma, B. C. Chauhan

TL;DR
This paper explores an extended scotogenic model with a $U(1)_{L_{}-L_{ au}}$ symmetry and vector-like fermions to explain the muon ($g-2$) anomaly, neutrino masses, and related phenomenology, constrained by current experimental data.
Contribution
It introduces a vector-like lepton triplet extension to the gauged scotogenic model, providing a chirally enhanced contribution to muon ($g-2$) independent of $Z_{}$ mass, and analyzes its implications for neutrino physics and $0 uetaeta$ decay.
Findings
Identified two $Z_{}$ mass regions explaining muon ($g-2$) within neutrino data constraints.
Region I is consistent with muon neutrino trident bounds; Region II violates them for $M_{Z_{}}>300$ MeV.
The VLL extension offers a significant positive contribution to muon ($g-2$), compatible with experimental bounds.
Abstract
The latest results of anomalous muon magnetic moment at Fermilab show a discrepancy of 4.2 between the Standard Model (SM) prediction and experimental value. In this work, we revisit symmetry with in the paradigm of scotogenic model which explains muon () and neutrino mass generation, simultaneously. The mass of new gauge boson generated after the spontaneous symmetry breaking of is constrained, solely, in light of the current neutrino oscillation data to explain muon (). In particular, we have obtained two regions I and II, around 150 MeV and 500 MeV, respectively, in plane which explain the neutrino phenomenology. Region I is found to be consistent with muon neutrino trident (MNT) bound ( ) to explain muon (), however, region II…
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
