Advertisement

Search for chargino and neutralino production at \(\sqrt{s} = 181\)–184 GeV at LEP

  • The OPAL Collaboration
  • G. Abbiendi et al.
Experimental physics

Abstract.

A search for charginos and neutralinos, predicted by supersymmetric theories, has been performed using a data sample of 57 pb\(^{-1}\) at centre-of-mass energies of 181–184 GeV taken with the OPAL detector at LEP. No evidence for chargino or neutralino production has been found. Upper limits on chargino and neutralino pair production (\(\tilde\chi^+_1 \tilde\chi^-_1\), \(\tilde\chi^0_1 \tilde\chi^0_2\)) cross-sections are obtained as a function of the chargino mass (\(m_{\tilde\chi^\pm_1}\)), the lightest neutralino mass (\(m_{\tilde\chi^0_1}\)) and the second lightest neutralino mass (\(m_{\tilde\chi^0_2}\)). For large chargino masses the limits have been improved with respect to the previous analyses at lower centre-of-mass energies. Exclusion regions at 95% confidence level (C.L.) of parameters of the Constrained Minimal Supersymmetric Standard Model are determined for the case of a large universal scalar mass, \(m_0\), implying heavy scalar fermions, and for the case of a small \(m_0\) resulting in light scalar fermions and giving the worst-case limits. Within this framework and for \(m_{\tilde\chi^\pm_1} - m_{\tilde\chi^0_1} \geq 5\) GeV the 95% C.L. lower limits on \(m_{\tilde\chi^\pm_1}\) for \(m_0=500\) GeV are 90.0 and 90.2 GeV for \(\tan \beta = 1.5\) and 35 respectively. These limits for all \(m_0\) (the worst-case) are 69.1 and 65.2 GeV for \(\tan \beta = 1.5\) and 35 respectively. Exclusion regions are also presented for neutralino masses, including an absolute lower limit at 95% C.L. for the mass of the lightest neutralino of 30.1 GeV for \(m_0 = 500\) GeV (24.2 GeV for all \(m_0\)), with implications for experimental searches for the lightest neutralino as a dark matter candidate.

Keywords

Dark Matter Pair Production Minimal Supersymmetric Standard Model Supersymmetric Theory Dark Matter Candidate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • The OPAL Collaboration
  • G. Abbiendi et al.
    • 1
  1. 1. Dipartimento di Fisica dell' Università di Bologna and INFN, I-40126 Bologna, Italy IT

Personalised recommendations