Landscape Higgs and sparticle mass predictions from a logarithmic soft term distribution
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.
Keywords
Cite
@article{arxiv.2011.04035,
title = {Landscape Higgs and sparticle mass predictions from a logarithmic soft term distribution},
author = {Howard Baer and Vernon Barger and Shadman Salam and Dibyashree Sengupta},
journal= {arXiv preprint arXiv:2011.04035},
year = {2021}
}
Comments
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