2020
DOI: 10.1103/physrevd.102.075012
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String landscape guide to soft SUSY breaking terms

Abstract: We examine several issues pertaining to statistical predictivity of the string theory landscape for weak scale supersymmetry (SUSY). We work within a predictive landscape wherein superrenormalizable terms scan while renormalizable terms do not. We require stringy naturalness wherein the likelihood of values for observables is proportional to their frequency within a fertile patch of landscape including the minimal supersymmetric standard model as low energy effective theory with a pocket-universe value for the… Show more

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Cited by 21 publications
(16 citation statements)
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“…A final consideration is whether all soft terms should have common probability distributions on the landscape [51]. For instance, gaugino masses arise from the SUGRA gauge kinetic function f AB which is typically of the form ∼ k • Sδ AB in string models where S is the dilaton superfield and k is some constant.…”
Section: Soft Termsmentioning
confidence: 99%
See 1 more Smart Citation
“…A final consideration is whether all soft terms should have common probability distributions on the landscape [51]. For instance, gaugino masses arise from the SUGRA gauge kinetic function f AB which is typically of the form ∼ k • Sδ AB in string models where S is the dilaton superfield and k is some constant.…”
Section: Soft Termsmentioning
confidence: 99%
“…6, then this would give a linear draw to large m 1/2 while scalar masses which arise from the Kähler function might have a stronger draw to large values. In addition, the other soft terms such as A 0 have very different dependencies on SUSY breaking fields and hence are expected to scan independently on the landscape [51]. For the bulk of this work, we will generally assume a single source of SUSY breaking so all soft terms scan linearly in m sof t to large values.…”
Section: Soft Termsmentioning
confidence: 99%
“…Despite the difficulty to achieve this goal, scaling arguments and approximate symmetries inherited from the 10D theory [6] could be used as a powerful guideline to shed light on larger portions of the string landscape. This top-down analysis of the statistical properties of quantities relevant for phenomenology is crucial to provide more theoretical guidance to recent bottom-up approaches to understand naturalness and string theory predictions for several observables [55][56][57][58][59][60].…”
Section: Jhep08(2021)059mentioning
confidence: 99%
“…• (A) Higgsino DM This scenario is characterized by a small value of μ (as favored, e.g., by naturalness argu-ments [108][109][110][111][112][113]). 3 Such a scenario is also naturally realized in Anomaly Mediation SUSY breaking (see e.g.…”
Section: Parameter Scanmentioning
confidence: 99%