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arXiv 2011.040352020-11hep-ph

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

Howard Baer, Vernon Barger, Shadman Salam, Dibyashree Sengupta

备注：: version 2 contains improved statistics for figures along with some minor text changes; published version in PRD is still version 1; 17 pages plus 16 .png figures
发表信息：: Phys. Rev. D 103, 035031 (2021)
DOI：: 10.1103/PhysRevD.103.035031

英文摘要：

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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