Fine-tuned vs. natural supersymmetry: what does the string landscape predict?
arXiv:2206.14839 · doi:10.1007/JHEP09(2022)125
Abstract
A vast array of (metastable) vacuum solutions arise from string compactifications, each leading to different 4-d laws of physics. The space of these solutions, known as the string landscape, allows for an environmental solution to the cosmological constant problem. We examine the possibility of an environmental solution to the gauge hierarchy problem. We argue that the landscape favors softly broken supersymmetric models over particle physics models containing quadratic divergences, such as the Standard Model. We present a scheme for computing relative probabilities for supersymmetric models to emerge from the landscape. The probabilities are related to the likelihood that the derived value of the weak scale lies within the Agrawal et al. (ABDS) allowed window of values leading to atoms as we know them. This then favors natural SUSY models over unnatural (SUSY and other) models via a computable probability measure.
19 pages with 3 .png figures; version 2 contains added figure and some clarifying text
References in corpus (14)
- Flux Compactification
- Dark matter production in the early Universe: beyond the thermal WIMP paradigm
- Non-thermal Dark Matter and the Moduli Problem in String Frameworks
- Higgs Mass and Unnatural Supersymmetry
- FlexibleSUSY -- A spectrum generator generator for supersymmetric models
- SUSY models under siege: LHC constraints and electroweak fine-tuning
- The -MSSM - An Theory motivated model of Particle Physics
- An M theory Solution to the Hierarchy Problem
- Precise Higgs mass calculations in (non-)minimal supersymmetry at both high and low scales
- Revisiting the SUSY mu problem and its solutions in the LHC era
- Natural generalized mirage mediation
- Implications of Canonical Gauge Coupling Unification in High-Scale Supersymmetry Breaking
- High-scale Supersymmetry, the Higgs Mass and Gauge Unification
- The cosmological moduli problem and naturalness