论文标题
来自对数软性分布的景观希格斯和斯巴克斯质量预测
Landscape Higgs and sparticle mass predictions from a logarithmic soft term distribution
论文作者
论文摘要
从假定的幂律软项分布中计算弦理论景观景观统计预测的最新工作使得M（h）〜125 GEV的期望（Sparticle（节省光Higgsinos））的期望超出了高露露度LHC的范围。最近对具有稳定模量的IIB弦模型中Susy破裂统计的统计数据表明，基于KKLT稳定和振奋的模型的幂律，而基于大容量场景（LVS）的模型则产生了预期的对数软术语分布。我们评估来自景观的Higgs和spartiles块的统计分布，并发现Higgs质量仍然在〜125 GEV附近达到峰值，而LHC范围之外的sparticles则比由Power-Laws产生的较低。
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.
