Probing dark matter in the madala hypothesis using meerkat

dc.contributor.authorTemo, Ralekete Khilly
dc.date.accessioned2023-02-16T09:41:29Z
dc.date.available2023-02-16T09:41:29Z
dc.date.issued2022
dc.descriptionA dissertation submitted in fulfilment of the requirements for the degree of Master of Science to the Faculty of Science, School of Physics, University of the Witwatersrand, Johannesburg, 2022
dc.description.abstractThe Madala hypothesis was introduced to explain several anomalies observed at the Large Hadron Collider. This model introduces a dark matter candidate χ through the extension of the standard model’s Higgs-sector, i.e. an extra Higgs doublet (2HDM) and an additional scalar boson S are introduced, which can couple to dark matter. Assuming the Madala hypothesis can explain the cosmic ray spectra and the Milky Way galactic centre’s gamma-ray flux excesses observed by AMS-02 and Fermi-LAT experiments, respectively. The aim of this dissertation is to compute the allowed parameter space for the 2HDM+S model, subsequently, make synchrotron emission predictions for observations with MeerKAT and other radio telescopes. The regions of interest for the predictions are the Reticulum II, Coma cluster, Ophiuchus cluster and M31 (Andromeda galaxy). However, only Reticulum II dwarf galaxy is considered for MeerKAT predictions, while for the remaining three objects, the constraints on the parameter space that can be derived from available radio observations are derived. The MeerKAT predictions and radio observation exclusion limits will collectively instigate the validation of our assumption and allow us to constrain the particle properties of the Madala hypothesis from an astrophysical standpoint while showcasing the power of MeerKAT in indirect dark matter searches.
dc.description.librarianTL (2023)
dc.facultyFaculty of Science
dc.identifier.urihttps://hdl.handle.net/10539/34554
dc.language.isoen
dc.schoolSchool of Physics
dc.titleProbing dark matter in the madala hypothesis using meerkat
dc.typeDissertation
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