1. Distribution of supersymmetry μ parameter and Peccei-Quinn scale fa from the landscape
- Author
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Robert Wiley Deal, Dibyashree Sengupta, Howard Baer, and Vernon Barger
- Subjects
Physics ,Particle physics ,Distribution (mathematics) ,High Energy Physics::Phenomenology ,Superpotential ,Superpartner ,Field (mathematics) ,Supersymmetry ,Global symmetry ,Minimal Supersymmetric Standard Model ,String theory landscape - Abstract
A scan of soft supersymmetry (SUSY) breaking parameters within the string theory landscape with the minimal supersymmetric standard model assumed as the low energy effective field theory---using a power-law draw to large soft terms coupled with an anthropic selection of a derived weak scale to be within a factor of 4 of our measured value---predicts a peak probability of ${m}_{h}\ensuremath{\simeq}125\text{ }\text{ }\mathrm{GeV}$ with sparticle masses typically beyond the reach of LHC Run 2. Such multiverse simulations usually assume a fixed value of the SUSY conserving superpotential $\ensuremath{\mu}$ parameter to be within the assumed anthropic range, $\ensuremath{\mu}\ensuremath{\lesssim}350\text{ }\text{ }\mathrm{GeV}$. However, depending on the assumed solution to the SUSY $\ensuremath{\mu}$ problem, the expected $\ensuremath{\mu}$ term distribution can actually be derived. In this paper, we examine two solutions to the SUSY $\ensuremath{\mu}$ problem. The first is the gravity-safe-Peccei-Quinn model based on an assumed ${\mathbb{Z}}_{24}^{R}$ discrete $R$-symmetry which allows a gravity-safe accidental, approximate Peccei-Quinn global symmetry to emerge which also solves the strong $CP$ problem. The second case is the Giudice-Masiero solution wherein the $\ensuremath{\mu}$ term effectively acts as a soft term and has a linear draw to large values. For the first case, we also present the expected landscape distribution for the Peccei-Quinn scale ${f}_{a}$; in this case, weak scale anthropics limits its range to the cosmological sweet zone of around ${f}_{a}\ensuremath{\sim}{10}^{11}\text{ }\text{ }\mathrm{GeV}$.
- Published
- 2021
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