Leptophilic Gauge Interactions in the SMEFT Era
Seyit Okan Kara

TL;DR
This paper develops a model-independent EFT framework for leptophilic gauge interactions, connecting high-energy theories to low-energy precision observables, enabling comprehensive analysis of new physics effects in leptonic processes.
Contribution
It introduces a universal EFT approach linking leptophilic gauge models to experimental signatures, including explicit Wilson coefficients and a single effective parameter for simplified analysis.
Findings
Derived compact SMEFT Wilson coefficients for four-lepton operators.
Established a single parameter, Lambda_eff, governing all leading EFT signatures.
Provided a validated EFT framework for global fits and collider studies.
Abstract
We develop a "precision-ready", model-independent EFT framework that connects general leptophilic gauge interactions to their low-energy manifestations in SMEFT and LEFT. Starting from a broad U(1)'_ell extension in which leptons carry family-dependent charges (q_e, q_mu, q_tau) while quarks remain neutral, quantum consistency is ensured through a minimal set of vectorlike leptons, chiral under U(1)'_ell but vectorlike under the SM, together with singlet scalars responsible for symmetry breaking and the masses of both Z_ell and the heavy leptons. In the heavy-mediator limit, we integrate out Z_ell at tree level and derive compact, analytic SMEFT Wilson coefficients for four-lepton operators and Higgs-current structures, including hypercharge-U(1)'_ell kinetic mixing proportional to Tr(Y Q'). Renormalization-group evolution down to the electroweak scale and matching onto LEFT produce…
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 · Computational Physics and Python Applications · Neutrino Physics Research
