Anomalous extension of the Standard Model
arXiv:2402.02577 · doi:10.1007/JHEP07(2024)232
Abstract
We present a set of example models in which the Standard Model (SM) symmetry group is extended by a new abelian symmetry. This additional symmetry appears anomalous in the effective low-energy theory; however, the anomalies cancel out when massive chiral fermions not present in the effective low-energy theory are taken into account. These chiral fermions under the new abelian gauge group, are chosen to be vector-like under the SM symmetries, and reside in the same representations as quarks and leptons. This allows us to quantitatively determine the magnitude of tree-level interactions between three vector bosons induced in low-energy effective field theory by the integration of chiral heavy fermions. We also examine the perturbativity constraints of the theory and the ultraviolet cut-off. We conclude by highlighting possible extensions of our work.
33 pages, 2 figures. Published version
References in corpus (16)
- Anomalies, Anomalous U(1)'s and generalized Chern-Simons terms
- Probing a Very Narrow Boson with CDF and D0 Data
- Minimal Anomalous U(1)' Extension of the MSSM
- Anomaly driven signatures of new invisible physics at the Large Hadron Collider
- Global Analysis of Leptophilic Z' Bosons
- Vacuum Stability in U(1)-Prime Extensions of the Standard Model with TeV Scale Right Handed Neutrinos
- Probing the Green-Schwarz Mechanism at the Large Hadron Collider
- Anomalies, Chern-Simons Terms and Chiral Delocalization in Extra Dimensions
- Anomalous bosons for anomalous decays
- Anomalous U(1)'s, Chern-Simons couplings and the Standard Model
- Search for the boson decaying to a right-handed neutrino pair in leptophobic models
- Leptophilic U(1) Massive Vector Bosons from Large Extra Dimensions
- Anomalies and the Green-Schwarz Mechanism
- Anomalous and axial Z' contributions to g-2
- Leptophilic U(1) Massive Vector Bosons from Large Extra Dimensions: Reexamination of Constraints from LEP Data
- Pinning down the leptophobic in leptonic final states with Deep Learning