• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

大型强子对撞机第一轮运行后的最小超对称标准模型10参数集

The pMSSM10 after LHC run 1.

作者信息

de Vries K J, Bagnaschi E A, Buchmueller O, Cavanaugh R, Citron M, De Roeck A, Dolan M J, Ellis J R, Flächer H, Heinemeyer S, Isidori G, Malik S, Marrouche J, Santos D Martínez, Olive K A, Sakurai K, Weiglein G

机构信息

High Energy Physics Group, Blackett Laboratory, Imperial College, Prince Consort Road, London, SW7 2AZ UK.

DESY, Notkestraße 85, 22607 Hamburg, Germany.

出版信息

Eur Phys J C Part Fields. 2015;75(9):422. doi: 10.1140/epjc/s10052-015-3599-y. Epub 2015 Sep 15.

DOI:10.1140/epjc/s10052-015-3599-y
PMID:26543402
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4623934/
Abstract

We present a frequentist analysis of the parameter space of the pMSSM10, in which the following ten soft SUSY-breaking parameters are specified independently at the mean scalar top mass scale [Formula: see text]: the gaugino masses [Formula: see text], the first-and second-generation squark masses [Formula: see text], the third-generation squark mass [Formula: see text], a common slepton mass [Formula: see text] and a common trilinear mixing parameter , as well as the Higgs mixing parameter [Formula: see text], the pseudoscalar Higgs mass [Formula: see text] and [Formula: see text], the ratio of the two Higgs vacuum expectation values. We use the MultiNest sampling algorithm with [Formula: see text]1.2 [Formula: see text] points to sample the pMSSM10 parameter space. A dedicated study shows that the sensitivities to strongly interacting sparticle masses of ATLAS and CMS searches for jets, leptons [Formula: see text][Formula: see text] signals depend only weakly on many of the other pMSSM10 parameters. With the aid of the Atom and Scorpion codes, we also implement the LHC searches for electroweakly interacting sparticles and light stops, so as to confront the pMSSM10 parameter space with all relevant SUSY searches. In addition, our analysis includes Higgs mass and rate measurements using the HiggsSignals code, SUSY Higgs exclusion bounds, the measurements of [Formula: see text] by LHCb and CMS, other -physics observables, electroweak precision observables, the cold dark matter density and the XENON100 and LUX searches for spin-independent dark matter scattering, assuming that the cold dark matter is mainly provided by the lightest neutralino [Formula: see text]. We show that the pMSSM10 is able to provide a supersymmetric interpretation of [Formula: see text], unlike the CMSSM, NUHM1 and NUHM2. As a result, we find (omitting Higgs rates) that the minimum [Formula: see text] with 18 degrees of freedom (d.o.f.) in the pMSSM10, corresponding to a [Formula: see text] probability of 30.8 %, to be compared with [Formula: see text] in the CMSSM (NUHM1) (NUHM2). We display the one-dimensional likelihood functions for sparticle masses, and we show that they may be significantly lighter in the pMSSM10 than in the other models, e.g., the gluino may be as light as [Formula: see text]1250 [Formula: see text] at the 68 % CL, and squarks, stops, electroweak gauginos and sleptons may be much lighter than in the CMSSM, NUHM1 and NUHM2. We discuss the discovery potential of future LHC runs, [Formula: see text] colliders and direct detection experiments.

摘要

我们给出了对pMSSM10参数空间的频率分析,其中以下十个软超对称破缺参数在平均标量顶夸克质量标度[公式:见正文]下独立指定:规范玻色子质量[公式:见正文]、第一代和第二代 squark 质量[公式:见正文]、第三代 squark 质量[公式:见正文]、一个共同的 slepton 质量[公式:见正文]和一个共同的三线性混合参数,以及希格斯混合参数[公式:见正文]、赝标希格斯质量[公式:见正文]和[公式:见正文],即两个希格斯真空期望值的比值。我们使用具有[公式:见正文]1.2 [公式:见正文]个点的MultiNest采样算法来采样pMSSM10参数空间。一项专门研究表明,ATLAS和CMS对喷注、轻子[公式:见正文][公式:见正文]信号的强相互作用超对称粒子质量的灵敏度仅微弱地依赖于许多其他pMSSM10参数。借助Atom和Scorpion代码,我们还实现了大型强子对撞机对弱电相互作用超对称粒子和轻停子的搜索,以便将pMSSM10参数空间与所有相关的超对称搜索进行对比。此外,我们的分析包括使用HiggsSignals代码进行的希格斯质量和产率测量、超对称希格斯排除界限、LHCb和CMS对[公式:见正文]的测量、其他 - 物理可观测量、弱电精确可观测量、冷暗物质密度以及XENON100和LUX对与自旋无关的暗物质散射的搜索,假设冷暗物质主要由最轻的中性伴随子[公式:见正文]提供。我们表明,与CMSSM、NUHM1和NUHM2不同,pMSSM10能够为[公式:见正文]提供超对称解释。结果,我们发现(省略希格斯产率)在pMSSM10中18个自由度(d.o.f.)下的最小[公式:见正文],对应于30.8%的[公式:见正文]概率,与CMSSM(NUHM1)(NUHM2)中的[公式:见正文]进行比较。我们展示了超对称粒子质量的一维似然函数,并且我们表明它们在pMSSM10中可能比在其他模型中显著更轻,例如,在68%的置信水平下,胶微子可能轻至[公式:见正文]1250 [公式:见正文],并且squarks、停子、弱电规范玻色子和sleptons可能比在CMSSM、NUHM1和NUHM2中轻得多。我们讨论了未来大型强子对撞机运行、[公式:见正文]对撞机和直接探测实验的发现潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/596b5afc9cb0/10052_2015_3599_Fig29_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/bd3d60e814a1/10052_2015_3599_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/f244355c4267/10052_2015_3599_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/3afe0fafa491/10052_2015_3599_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/42ae23829b3a/10052_2015_3599_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/4ef71e1d65ad/10052_2015_3599_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/7259bfe1b016/10052_2015_3599_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/86723708d9fb/10052_2015_3599_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/bd1edcd5d0c4/10052_2015_3599_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/7c98d140eeb7/10052_2015_3599_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/6f13851aa406/10052_2015_3599_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/e76921bd8609/10052_2015_3599_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/687703653106/10052_2015_3599_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/bcabfa4ed1a4/10052_2015_3599_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/7113989a058c/10052_2015_3599_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/d78f90027401/10052_2015_3599_Fig15_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/1817da87dcac/10052_2015_3599_Fig16_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/4beee789eb72/10052_2015_3599_Fig17_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/e3da423badc1/10052_2015_3599_Fig18_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/d69ca1e01ae4/10052_2015_3599_Fig19_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/85583dcdc3ed/10052_2015_3599_Fig20_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/92290695ae59/10052_2015_3599_Fig21_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/c671b360325a/10052_2015_3599_Fig22_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/4a365faafa37/10052_2015_3599_Fig23_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/13d96b5c375a/10052_2015_3599_Fig24_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/1b1e3dc84218/10052_2015_3599_Fig25_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/b35ffe8d2963/10052_2015_3599_Fig26_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/0e4e208aa5f3/10052_2015_3599_Fig27_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/8baef5664807/10052_2015_3599_Fig28_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/596b5afc9cb0/10052_2015_3599_Fig29_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/bd3d60e814a1/10052_2015_3599_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/f244355c4267/10052_2015_3599_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/3afe0fafa491/10052_2015_3599_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/42ae23829b3a/10052_2015_3599_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/4ef71e1d65ad/10052_2015_3599_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/7259bfe1b016/10052_2015_3599_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/86723708d9fb/10052_2015_3599_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/bd1edcd5d0c4/10052_2015_3599_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/7c98d140eeb7/10052_2015_3599_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/6f13851aa406/10052_2015_3599_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/e76921bd8609/10052_2015_3599_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/687703653106/10052_2015_3599_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/bcabfa4ed1a4/10052_2015_3599_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/7113989a058c/10052_2015_3599_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/d78f90027401/10052_2015_3599_Fig15_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/1817da87dcac/10052_2015_3599_Fig16_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/4beee789eb72/10052_2015_3599_Fig17_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/e3da423badc1/10052_2015_3599_Fig18_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/d69ca1e01ae4/10052_2015_3599_Fig19_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/85583dcdc3ed/10052_2015_3599_Fig20_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/92290695ae59/10052_2015_3599_Fig21_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/c671b360325a/10052_2015_3599_Fig22_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/4a365faafa37/10052_2015_3599_Fig23_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/13d96b5c375a/10052_2015_3599_Fig24_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/1b1e3dc84218/10052_2015_3599_Fig25_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/b35ffe8d2963/10052_2015_3599_Fig26_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/0e4e208aa5f3/10052_2015_3599_Fig27_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/8baef5664807/10052_2015_3599_Fig28_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/615f/4623934/596b5afc9cb0/10052_2015_3599_Fig29_HTML.jpg

相似文献

1
The pMSSM10 after LHC run 1.大型强子对撞机第一轮运行后的最小超对称标准模型10参数集
Eur Phys J C Part Fields. 2015;75(9):422. doi: 10.1140/epjc/s10052-015-3599-y. Epub 2015 Sep 15.
2
The NUHM2 after LHC Run 1.大型强子对撞机第一轮运行后的非均匀超对称破缺模型2
Eur Phys J C Part Fields. 2014;74(12):3212. doi: 10.1140/epjc/s10052-014-3212-9. Epub 2014 Dec 17.
3
The CMSSM and NUHM1 after LHC Run 1.大型强子对撞机第一轮运行后的CMSSM和NUHM1。
Eur Phys J C Part Fields. 2014;74(6):2922. doi: 10.1140/epjc/s10052-014-2922-3. Epub 2014 Jun 13.
4
Supersymmetric dark matter after LHC run 1.大型强子对撞机第一轮运行后的超对称暗物质
Eur Phys J C Part Fields. 2015;75(10):500. doi: 10.1140/epjc/s10052-015-3718-9. Epub 2015 Oct 23.
5
Supersymmetric fits after the Higgs discovery and implications for model building.希格斯玻色子发现后的超对称拟合及其对模型构建的影响。
Eur Phys J C Part Fields. 2014;74(5):2732. doi: 10.1140/epjc/s10052-014-2732-7. Epub 2014 May 27.
6
Collider Interplay for Supersymmetry, Higgs and Dark Matter.超对称、希格斯玻色子与暗物质的对撞机相互作用
Eur Phys J C Part Fields. 2015;75(10):469. doi: 10.1140/epjc/s10052-015-3675-3. Epub 2015 Oct 1.
7
Likelihood analysis of supersymmetric SU(5) GUTs.超对称SU(5)大统一理论的似然性分析。
Eur Phys J C Part Fields. 2017;77(2):104. doi: 10.1140/epjc/s10052-017-4639-6. Epub 2017 Feb 16.
8
Implications of improved Higgs mass calculations for supersymmetric models.希格斯玻色子质量计算的改进对超对称模型的影响。
Eur Phys J C Part Fields. 2014;74(3):2809. doi: 10.1140/epjc/s10052-014-2809-3. Epub 2014 Mar 18.
9
Likelihood analysis of the pMSSM11 in light of LHC 13-TeV data.基于大型强子对撞机(LHC)13 TeV数据的pMSSM11似然性分析。
Eur Phys J C Part Fields. 2018;78(3):256. doi: 10.1140/epjc/s10052-018-5697-0. Epub 2018 Mar 24.
10
Beyond the CMSSM without an accelerator: proton decay and direct dark matter detection.超越无加速器的CMSSM:质子衰变与暗物质直接探测
Eur Phys J C Part Fields. 2016;76:8. doi: 10.1140/epjc/s10052-015-3842-6. Epub 2016 Jan 5.

引用本文的文献

1
Likelihood analysis of the pMSSM11 in light of LHC 13-TeV data.基于大型强子对撞机(LHC)13 TeV数据的pMSSM11似然性分析。
Eur Phys J C Part Fields. 2018;78(3):256. doi: 10.1140/epjc/s10052-018-5697-0. Epub 2018 Mar 24.
2
The BSM-AI project: SUSY-AI-generalizing LHC limits on supersymmetry with machine learning.BSM-AI项目:利用机器学习对大型强子对撞机超对称极限进行超对称人工智能泛化
Eur Phys J C Part Fields. 2017;77(4):257. doi: 10.1140/epjc/s10052-017-4814-9. Epub 2017 Apr 24.
3
Likelihood analysis of the minimal AMSB model.最小异常介导超对称破缺(AMSB)模型的似然分析

本文引用的文献

1
BHLS upgrade: spectra, muon HVP and the [ ] system.BHLS升级:光谱、μ子强子真空极化及[ ]系统。
Eur Phys J C Part Fields. 2022;82(2):184. doi: 10.1140/epjc/s10052-022-10096-4. Epub 2022 Feb 28.
2
Muon (- 2): experiment and theory.μ子(-2):实验与理论
Rep Prog Phys. 2007 May 1;70(5). doi: 10.1088/0034-4885/70/5/R03.
3
Updated Next-to-Next-to-Leading-Order QCD Predictions for the Weak Radiative B-Meson Decays.更新后的次紧邻级次领头阶 QCD 对弱辐射 B 介子衰变的预测。
Eur Phys J C Part Fields. 2017;77(4):268. doi: 10.1140/epjc/s10052-017-4810-0. Epub 2017 Apr 27.
4
Likelihood analysis of supersymmetric SU(5) GUTs.超对称SU(5)大统一理论的似然性分析。
Eur Phys J C Part Fields. 2017;77(2):104. doi: 10.1140/epjc/s10052-017-4639-6. Epub 2017 Feb 16.
Phys Rev Lett. 2015 Jun 5;114(22):221801. doi: 10.1103/PhysRevLett.114.221801. Epub 2015 Jun 2.
4
The NUHM2 after LHC Run 1.大型强子对撞机第一轮运行后的非均匀超对称破缺模型2
Eur Phys J C Part Fields. 2014;74(12):3212. doi: 10.1140/epjc/s10052-014-3212-9. Epub 2014 Dec 17.
5
The CMSSM and NUHM1 after LHC Run 1.大型强子对撞机第一轮运行后的CMSSM和NUHM1。
Eur Phys J C Part Fields. 2014;74(6):2922. doi: 10.1140/epjc/s10052-014-2922-3. Epub 2014 Jun 13.
6
Implications of improved Higgs mass calculations for supersymmetric models.希格斯玻色子质量计算的改进对超对称模型的影响。
Eur Phys J C Part Fields. 2014;74(3):2809. doi: 10.1140/epjc/s10052-014-2809-3. Epub 2014 Mar 18.
7
Fastlim: a fast LHC limit calculator.Fastlim:一种快速的大型强子对撞机极限计算器。
Eur Phys J C Part Fields. 2014;74(11):3163. doi: 10.1140/epjc/s10052-014-3163-1. Epub 2014 Nov 28.
8
Measurement of the Bs(0)→μ+ μ- branching fraction and search for B(0)→μ+ μ- with the CMS experiment.测量 Bs(0)→μ+ μ- 分支比和利用 CMS 实验寻找 B(0)→μ+ μ-。
Phys Rev Lett. 2013 Sep 6;111(10):101804. doi: 10.1103/PhysRevLett.111.101804. Epub 2013 Sep 5.
9
High-precision predictions for the light CP-even Higgs boson mass of the minimal supersymmetric standard model.高精度预测最小超对称标准模型中轻 CP 相等希格斯玻色子质量。
Phys Rev Lett. 2014 Apr 11;112(14):141801. doi: 10.1103/PhysRevLett.112.141801.
10
Dark matter results from 100 live days of XENON100 data.暗物质来源于 XENON100 实验 100 天的数据。
Phys Rev Lett. 2011 Sep 23;107(13):131302. doi: 10.1103/PhysRevLett.107.131302. Epub 2011 Sep 19.