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The latest experimental results from the LHC and dark matter (DM) searches suggest that the parameter space allowed in supersymmetric theories is subject to strong reductions. These bounds are especially constraining for scenarios entailing…

高能物理 - 唯象学 · 物理学 2017-05-04 M. Peiro , S. Robles

I address the question of whether supersymmetry provides a viable candidate for the dark matter in the Universe. I review the properties of the lightest neutralino as a candidate for solving the dark matter problem. I discuss the…

高能物理 - 唯象学 · 物理学 2007-05-23 Leszek Roszkowski

The lightest neutralino, assumed to be the lightest supersymmetric particle, is proposed to be a dark matter (DM) candidate for the mass $\cal{O}$(100) GeV. Constraints from various direct dark matter detection experiments and Planck…

高能物理 - 唯象学 · 物理学 2021-09-29 Monoranjan Guchait , Arnab Roy , Seema Sharma

A comologically stable neutral component from a nearly pure $SU(2)$ doublet, with a mass $\sim$1.1 TeV, is one appealing candidate for dark matter (DM) consistent with all direct dark matter searches. We have explored this possibility in…

高能物理 - 唯象学 · 物理学 2021-01-27 Antonio Delgado , Mariano Quirós

The supersymmetric extension to the Standard Model offers a promising cold dark matter candidate, the lightest neutralino. I will review the phenomenological and cosmological constraints on the supersymmetric parameter space and discuss the…

高能物理 - 唯象学 · 物理学 2007-05-23 Keith A. Olive

We study the neutralino being the Lightest Supersymmetric Particle (LSP) as a cold Dark Matter (DM) candidate with a mass less than 40 GeV in the framework of the Next-to-Minimal-Supersymmetric-Standard-Model (NMSSM). We find that with the…

高能物理 - 唯象学 · 物理学 2014-08-22 Tao Han , Zhen Liu , Shufang Su

We consider the Minimal Supersymmetric Standard Model (MSSM) with varying amounts of non-universality in the soft supersymmetry-breaking contributions to the Higgs scalar masses. In addition to the constrained MSSM (CMSSM) in which these…

高能物理 - 唯象学 · 物理学 2014-11-20 Pearl Sandick

We examine the possibility of a light (below 46 GeV) neutralino dark matter (DM) candidate within the 19-parameter phenomenological Minimal Supersymmetric Standard Model (pMSSM) in the light of various recent experimental results,…

高能物理 - 唯象学 · 物理学 2014-10-13 Celine Boehm , P. S. Bhupal Dev , Anupam Mazumdar , Ernestas Pukartas

We analyze the prospects for light neutralino dark matter in the minimal supersymmetric model extended by a $U(1)$ gauge group. We allow the neutralino to be an arbitrary admixture of singlet and doublet higgsinos, as well as of the three…

高能物理 - 唯象学 · 物理学 2014-10-22 Mariana Frank , Subhadeep Mondal

We address the question how light the lightest MSSM neutralino can be as dark matter candidate in a scenario where all supersymmetric scalar particles are heavy. The hypothesis that the neutralino accounts for the observed dark matter…

高能物理 - 唯象学 · 物理学 2015-06-23 Lorenzo Calibbi , Jonas M. Lindert , Toshihiko Ota , Yasutaka Takanishi

In this article we review the case for a light ($< m_{h_{125}}/2$) neutralino and sneutrino being a viable Dark Matter (DM) candidate in Supersymmetry(SUSY). To that end we recapitulate, very briefly, three issues related to the DM which…

高能物理 - 唯象学 · 物理学 2020-12-30 Rahool Kumar Barman , Genevieve Belanger , Rohini M. Godbole

The allowed parameter space for the lightest neutralino as the dark matter is explored using the Minimal Supersymmetric Standard Model as the low-energy effective theory without further theoretical constraints such as GUT. Selecting values…

高能物理 - 唯象学 · 物理学 2008-11-26 A. Gabutti , M. Olechowski , S. Cooper , S. Pokorski , L. Stodolski

The supersymmetric extension to the Standard Model offers a promising cold dark matter candidate, the lightest neutralino. I will review the prospects for the detection of this candidate in both accelerator and direct detection searches.

高能物理 - 唯象学 · 物理学 2017-08-23 Keith A. Olive

We study the viability of the lightest neutralino as a dark matter candidate in the Next-to-Minimal Supersymmetric Standard Model. Taking into account accelerator constraints as well as bounds on low-energy observables, and imposing…

高能物理 - 唯象学 · 物理学 2008-11-26 Ana M. Teixeira

We discuss the prospects for detecting supersymmetric particles in variants of the minimal supersymmetric extension of the Standard Model (MSSM), in light of laboratory and cosmological constraints. We first assume that the lightest…

高能物理 - 唯象学 · 物理学 2009-09-11 John Ellis , Keith A. Olive , Yudi Santoso , Vassilis C. Spanos

In the Next-to-Minimal-Supersymmetric-Standard-Model (NMSSM) the lightest supersymmetric particle (LSP) is a candidate for the dark matter (DM) in the universe. It is a mixture from the various gauginos and Higgsinos and can be bino-,…

高能物理 - 唯象学 · 物理学 2017-09-25 C. Beskidt , W. de Boer , D. I. Kazakov , S. Wayand

The identity of dark matter is one of the greatest puzzles of our Universe. Its solution may be associated with supersymmetry which is a fundamental space-time symmetry that has not been verified experimentally so far. In many…

高能物理 - 唯象学 · 物理学 2007-08-28 Frank Daniel Steffen

The viability of the lightest neutralino as a dark matter candidate in the Next-to-Minimal Supersymmetric Standard Model is analysed. We carry out a thorough analysis of the parameter space, taking into account accelerator constraints as…

高能物理 - 唯象学 · 物理学 2010-10-27 D. G. Cerdeno , E. Gabrielli , D. E. Lopez-Fogliani , C. Munoz , A. M. Teixeira

We revisit MSSM scenarios with light neutralino as a dark matter candidate in view of the latest LHC and dark matter direct and indirect detection experiments. We show that scenarios with a very light neutralino (~ 10 GeV) and a scalar…

高能物理 - 唯象学 · 物理学 2013-11-08 Alexandre Arbey , Marco Battaglia , Farvah Mahmoudi

Inspired by the fact that relatively small values of the effective higgsino mass parameter of the $Z_3$-symmetric Next-to-Minimal Supersymmetric Standard Model (NMSSM) could render the scenario `natural', we explore the plausibility of…

高能物理 - 唯象学 · 物理学 2019-09-18 Waleed Abdallah , Arindam Chatterjee , AseshKrishna Datta
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