The Identification of Dark Matter 2005
DOI: 10.1142/9789812701848_0020
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Neutralino Dark Matter in Supergravity Theories With Non-Universal Scalar and Gaugino Masses

Abstract: We analyse the direct detection of neutralino dark matter in supergravity scenarios with non-universal soft scalar and gaugino masses. In particular, the neutralino-nucleon cross section is computed and compared with the sensitivity of detectors. We take into account the most recent experimental and astrophysical constraints on the parameter space, including those coming from charge and colour breaking minima. Gaugino non-universalities provide a larger flexibility in the neutralino sector. In particular, when… Show more

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Cited by 8 publications
(21 citation statements)
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“…in [5,6,7,8,9,10,11,12]. Studies were performed also in the context of supersymmetric dark matter [13,14,15,16,17,18,19]. The phenomenology of supersymmetric models depends crucially on the compositions of neutralinos and charginos.…”
Section: Introductionmentioning
confidence: 99%
“…in [5,6,7,8,9,10,11,12]. Studies were performed also in the context of supersymmetric dark matter [13,14,15,16,17,18,19]. The phenomenology of supersymmetric models depends crucially on the compositions of neutralinos and charginos.…”
Section: Introductionmentioning
confidence: 99%
“…Results in case of tan β = 2 are plotted for the several values of θ in figure 1. 5 In the left panel we plot 5 There is U(1)x D-term contribution to the soft scalar masses such as (m Dx f ) 2 g 2 x Q f QS S 2 , where S determines a U(1)x breaking scale. Since we fix S as S = 1.5 TeV and then Mx > gx S is satisfied in the almost all regions of the large Mx, this contribution is neglected in this calculation.…”
Section: Jhep11(2006)029mentioning
confidence: 99%
“…Thus different non-universalities lead to different kind of LSP scenarios. Some recent papers has partly grabbed the impact of non-universality feature in either minimal or non-minimal version of models in the context of dark matter search, see for example [10,[12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30].…”
Section: Introductionmentioning
confidence: 99%