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arXiv · 2011.04035

Landscape Higgs and sparticle mass predictions from a logarithmic soft term distribution

Howard Baer·Vernon Barger·Shadman Salam·Dibyashree Sengupta
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Abstract

Recent work on calculating string theory landscape statistical predictions for the Higgs and sparticle mass spectrum from an assumed power-law soft term distribution yields an expectation for m(h)~ 125 GeV with sparticles (save light higgsinos) somewhat beyond reach of high-luminosity LHC. A recent examination of statistics of SUSY breaking in IIB string models with stabilized moduli suggests a power-law for models based on KKLT stabilization and uplifting while models based on large-volume scenario (LVS) instead yield an expected logarithmic soft term distribution. We evaluate statistical distributions for Higgs and sparticle masses from the landscape with a log soft term distribution and find the Higgs mass still peaks around ~125 GeV with sparticles beyond LHC reach, albeit with somewhat softer distributions than those arising from a power-law.

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Howard Baer, Vernon Barger, Shadman Salam, Dibyashree Sengupta. 2020-11-08. Landscape Higgs and sparticle mass predictions from a logarithmic soft term distribution. https://doi.org/10.1103/physrevd.103.035031

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