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arXiv 2402.17859hep-phhep-th
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从弦景观中涌现的弱标度超对称

Weak scale supersymmetry emergent from the string landscape

Howard Baer, Vernon Barger, Dakotah Martinez, Shadman Salam

AI总结:

本文利用弦景观中软项的幂律分布与人择弱标度选择,论证自然SUSY比高能标或分裂SUSY更可能涌现,并解释125 GeV Higgs及LHC未发现超粒子。

摘要:

超弦通量紧化可以稳定所有模,同时产生数量极其庞大的真空解,每个真空解都会导出不同的4维物理定律。尽管弦景观目前为宇宙学常数的大小提供了唯一看似合理的解释,但它也可能预言预期会涌现出的弱标度超对称的形式。相当普遍的论证表明,软项会以幂律方式被拉向较大值,但这还受到弱标度数值不能过大的人择选择约束。这种联合选择使人们能够计算超对称模型从景观中涌现的相对概率。具有弱标度自然性的模型似乎最有可能涌现,因为它们在景观中拥有最大的参数空间。对于高能标SUSY或分裂SUSY等经过微调的模型,所需的弱标度微调将其参数空间压缩到极小的体积,因此与自然模型相比,它们出现的可能性要低得多。来自自然模型的超粒子和Higgs质量概率分布显示,它们偏好Higgs质量m_h~125 GeV,而超粒子通常超出当前LHC的限制,这与数据相符。基于这些考虑,我们简要描述了预期自然SUSY将如何在未来LHC升级中被揭示。本文是期刊《Entropy》为纪念Paul Frampton 80岁生日而出版的特刊的一篇投稿。

英文摘要:

Superstring flux compactifications can stabilize all moduli while leading to an enormous number of vacua solutions, each leading to different $4-d$ laws of physics. While the string landscape provides at present the only plausible explanation for the size of the cosmological constant, it may also predict the form of weak scale supersymmetry which is expected to emerge. Rather general arguments suggest a power-law draw to large soft terms, but these are subject to an anthropic selection of not-too-large a value for the weak scale. The combined selection allows one to compute relative probabilities for the emergence of supersymmetric models from the landscape. Models with weak scale naturalness appear most likely to emerge since they have the largest parameter space on the landscape. For finetuned models such as high scale SUSY or split SUSY, the required weak scale finetuning shrinks their parameter space to tiny volumes, making them much less likely to appear compared to natural models. Probability distributions for sparticle and Higgs masses from natural models show a preference for Higgs mass $m_h\sim 125$ GeV with sparticles typically beyond present LHC limits, in accord with data. From these considerations, we briefly describe how natural SUSY is expected to be revealed at future LHC upgrades. This article is a contribution to the Special Edition of the journal {\it Entropy} honoring Paul Frampton on his 80th birthday.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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