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dc.contributor.advisorGidelew, A. A.
dc.contributor.advisorFerreira, S. E. S.
dc.contributor.authorHough, R. T.
dc.date.accessioned2020-06-11T15:58:50Z
dc.date.available2020-06-11T15:58:50Z
dc.date.issued2020
dc.identifier.urihttps://orcid.org/0000-0003-0316-8274
dc.identifier.urihttp://hdl.handle.net/10394/34763
dc.descriptionMSc (Astrophysical Sciences), North-West University, Potchefstroom Campusen_US
dc.description.abstractIn this dissertation, we looked at the cosmological constraints of some f(R)-modi ed gravity models, such as f(R) = Rn (our rst toy model), f(R) = R + Rn (our second toy model), and more realistic ones like the Starobinsky and Hu-Sawicki models. We used 236 intermediate-redshift and 123 low-redshift Supernovae Type 1A data obtained from the SDSS-II/SNLS3 Joint Light-curve Analysis (JLA), with absolute magnitudes, for the B- lter, found on the NASA Extragalactic Database (NED). We also developed a Markov Chain Monte-Carlo (MCMC) simulation to find the best- fitting luminosity distance function value for each combination of cosmological parameters, namely the matter density distribution ohm m and the Hubble uncertainty parameter h (fi rstly for the ACDM model and then for the f(R)-gravity models). We then used the ACDM model results to constrain the priors for the f(R)-gravity models. We assumed a flat universe ohm k = 0 and a radiation density distribution ohm r that is negligible to simplify these models. Therefore, the only difference between the ACDM model and f(R)-gravity models are the dark energy component and the arbitrary free parameters. This gave us an indication if there exist viable f(R)-gravity models when we compared them statistically to the results of the ACDM model. Furthermore, we developed a numerical method to solve the models to which we were not able to find an analytical solution, and incorporated it into the MCMC simulation. We found 2 viable models, namely the Starobinsky model and a reduced version of the Starobinsky model. Both were able to predict an accelerating universe. We also found a further three models that were able to t the data, but were statistically rejected, namely the second toy model where n is fixed to the parameter values of n = 0 and n = 2, as well as the Hu-Sawicki model. Lastly, we found a further three models that were not able to t the supernova data and as a consequence were statistically rejected, namely the first toy model, and the second toy model for fixed n-values of n = 1/2 and n = 1. Therefore, we were able to constrain the viability of some of the f(R)-gravity models with cosmological data.en_US
dc.language.isoenen_US
dc.publisherNorth-West University (South Africa)en_US
dc.subjectgeneral relativity||cosmic acceleration||cosmological parameters||dark energy||modifi ed gravity||f(R)||supernova||distance modulus||numerical methods||MCMC simulationen_US
dc.subjectGeneral relativity
dc.subjectCosmic acceleration
dc.subjectCosmological parameters
dc.subjectDark energy
dc.subjectModified gravity
dc.subjectf(R)
dc.subjectSupernova
dc.subjectDistance modulus
dc.subjectNumerical methods
dc.subjectMCMC simulation
dc.titleConstraining modified gravity models with cosmological dataen_US
dc.typeThesisen_US
dc.description.thesistypeMastersen_US
dc.contributor.researchID25806718 - Gidelew, Amare Aabebe (Supervisor)
dc.contributor.researchID10713158 - Ferreira, Stephanus Esaias Salomon (Supervisor)


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