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Constraining electroweakinos in the minimal Dirac gaugino model
SciPost Physics ( IF 5.5 ) Pub Date : 2020-10-08 , DOI: 10.21468/scipostphys.9.4.047
Mark Goodsell 1 , Sabine Kraml 2 , Humberto Reyes-González 2 , Sophie L. Williamson 1, 3
Affiliation  

Supersymmetric models with Dirac instead of Majorana gaugino masses have distinct phenomenological consequences. In this paper, we investigate the electroweakino sector of the Minimal Dirac Gaugino Supersymmetric Standard Model (MDGSSM) with regards to dark matter (DM) and collider constraints. We delineate the parameter space where the lightest neutralino of the MDGSSM is a viable DM candidate, that makes for at least part of the observed relic abundance while evading constraints from DM direct detection, LEP and lowenergy data, and LHC Higgs measurements. The collider phenomenology of the thus emerging scenarios is characterised by the richer electroweakino spectrum as compared to the Minimal Supersymmetric Standard Model (MSSM) -- 6 neutralinos and 3 charginos instead of 4 and 2 in the MSSM, naturally small mass splittings, and the frequent presence of long-lived particles, both charginos and/or neutralinos. Reinterpreting ATLAS and CMS analyses with the help of SModelS and MadAnalysis 5, we discuss the sensitivity of existing LHC searches for new physics to these scenarios and show which cases can be constrained and which escape detection. Finally, we propose a set of benchmark points which can be useful for further studies, designing dedicated experimental analyses and/or investigating the potential of future experiments.

中文翻译:

在最小狄拉克·高吉诺模型中约束电弱电

用狄拉克(Dirac)代替马约拉纳·高吉诺(Majorana gaugino)质量的超对称模型具有独特的现象学后果。在本文中,我们针对暗物质(DM)和对撞机约束研究了最小Dirac Gaugino超对称标准模型(MDGSSM)的电薄弱环节。我们描述了参数空间,其中MDGSSM的最轻的中性是可行的DM候选对象,它使观察到的文物丰度至少有一部分,同时避免了DM直接检测,LEP和低能数据以及LHC Higgs测量的限制。相较于最小超对称标准模型(MSSM),这种新兴情景的对撞机现象学的特征在于更弱的电弱电频谱-6个中性点和3个特征点,而不是MSSM中的4和2,自然是小质量分裂,以及长寿命颗粒(charginos和/或neutralinos)的频繁出现。在SModelS和MadAnalysis 5的帮助下重新解释了ATLAS和CMS分析,我们讨论了现有LHC搜索新物理对这些情况的敏感性,并显示了哪些情况可能受到限制以及哪些逃脱检测。最后,我们提出了一组基准点,这些基准点可用于进一步的研究,设计专门的实验分析和/或调查未来实验的潜力。
更新日期:2020-10-08
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