Published January 1, 2018 | Version v1
Journal article Open

Sneutrino Dark Matter in the BLSSM

  • 1. School of Physics and Astronomy, University of Southampton, Highfield, Southampton, SO17 1BJ, U.K.
  • 2. Center for Fundamental Physics, Zewail City of Science and Technology, Sheikh Zayed, Giza, 12588, Egypt
  • 3. Institut für Hochenergiephysik, Österreichische Akademie der Wissenschaften, Nikolsdorfer Gasse 18, Wien, 1050, Austria
  • 4. National Institute of Chemical Physics and Biophysics, Rävala 10, Tallinn, 10143, Estonia
  • 5. Department of Physics, Uluda g University, Bursa, TR16059, Turkey

Description

In the framework of the (B − L) Supersymmetric Standard Model (BLSSM), we assess the ability of ground and space based experiments to establish the nature of its prevalent Dark Matter (DM) candidate, the sneutrino, which could either be CP-even or -odd. Firstly, by benchmarking this theory construct against the results obtained by the Planck spacecraft, we extract the portions of the BLSSM parameter space compliant with relic density data. Secondly, we show that, based on current sensitivities of the Fermi Large Area Telescope (FermiLAT) and their future projections, the study of high-energy γ-ray spectra will eventually enable us to extract evidence of this DM candidate through its annihilations into W + W − pairs (in turn emitting photons), in the form of both an integrated flux and a differential energy spectrum which cannot be reconciled with the assumption of DM being fermionic (like, e.g., a neutralino), although it should not be possible to distinguish between the scalar and pseudoscalar hypotheses. Thirdly, we show that, while underground direct detection experiments will have little scope in testing sneutrino DM, the Large Hadron Collider (LHC) may be able to do so in a variety of multi-lepton signatures, with and without accompanying jets (plus missing transverse energy), following data collection during Run 2 and 3.

Files

JHEP072018100_a.pdf

Files (727.5 kB)

Name Size Download all
md5:c477c3c5d83cd048b03ec57af0f4e39f
727.5 kB Preview Download