Combining Anomaly and Z' Mediation of Supersymmetry Breaking
Jorge de Blas, Paul Langacker, Gil Paz, Lian-Tao Wang

TL;DR
This paper introduces a combined anomaly and Z' mediation framework for supersymmetry breaking, addressing key issues like tachyonic sleptons and fine-tuning, with specific models predicting distinctive LHC signals and a light Z' boson.
Contribution
It proposes a novel combined mediation scenario that naturally resolves known problems in supersymmetry models and provides concrete models with testable LHC predictions.
Findings
Addresses tachyonic slepton problem by combining anomaly and Z' mediation.
Predicts a light gluino and a TeV-scale Z' boson with distinctive collider signatures.
Models allow successful dynamical electroweak symmetry breaking.
Abstract
We propose a scenario in which the supersymmetry breaking effect mediated by an additional U(1)' is comparable with that of anomaly mediation. We argue that such a scenario can be naturally realized in a large class of models. Combining anomaly with Z' mediation allows us to solve the tachyonic slepton problem of the former and avoid significant fine tuning in the latter. We focus on an NMSSM-like scenario where U(1)' gauge invariance is used to forbid a tree-level mu term, and present concrete models, which admit successful dynamical electroweak symmetry breaking. Gaugino masses are somewhat lighter than the scalar masses, and the third generation squarks are lighter than the first two. In the specific class of models under consideration, the gluino is light since it only receives a contribution from 2-loop anomaly mediation, and it decays dominantly into third generation quarks.…
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
