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dc.contributor.advisorCress, Catherine
dc.contributor.authorRamamonjisoa, Fidy Andriamanankasina
dc.contributor.otherDept. of Physics
dc.date.accessioned2014-03-10T08:49:46Z
dc.date.available2013/05/02
dc.date.available2013/05/02 09:58
dc.date.available2014-03-10T08:49:46Z
dc.date.issued2010
dc.identifier.urihttp://hdl.handle.net/11394/2944
dc.descriptionMagister Scientiae - MScen_US
dc.description.abstractWe investigate the modelling of radio galaxies within a semi-analytic framework in the Millennium Simulation of the Virgo Consortium. The aim is to assess the radio sources contamination of Sunyaev-Zeldovich (SZ) signatures of clusters of galaxies in Cosmic Microwave Background (CMB) experiments. The modelling is also relevant to the Karoo Array Telescope (MeerKAT) and the Square Kilometre Array (SKA) science. The semi-analytical model consists of N-body simulation, the Millennium Run to trace the merger history of dark matter haloes within the Λ Cold Dark Matter (ΛCDM) cosmology and a follow up of the black hole accretion history and Active Galactic Nuclei (AGN) evolution. We study the growth of the supermassive black hole (SMBH) in galaxy centres and determine the black hole mass accretion conversion into radiation. We identify a model which matches observed radio luminosity function. We describe a model of observed sample of radio surveys at a given frequency and a flux density limit to obtain a model of radio luminosity function (space density of radio sources as a function of redshift) that we compare with our simulated data. We determine the redshift distribution of radio galaxies (FRI), blazars and radio quasars (FRII) in the simulation. We focus the modelling on flat spectrum population of blazars since their jets are collimated towards us and thus constitute the most potential contaminants of the CMB. We determine the spatial and density distribution of radio sources in clusters with a virial mass Mvir 2 1014h−1M and then compute the temperature fluctuations and fluxes produced by these cluster radio sources. Our main results include: the model provides a reasonable match within uncertainties with the model obtained by Dunlop & Peacock (1990) [39] using their best fit of radio luminosity function at redshift z . 0:3. The model underestimates the number of radio sources at high redshift z & 1. Radio sources are concentrated around the centre of clusters with a maximum density at r . 0:1r200 where r200 is the radius within which the density is 200 times the critical density. Radio sources are more concentrated in low mass clusters. The model predicts a surface density profile of radio sources with luminosity P 1023 W.Hz−1 at 1.4 GHz (z . 0:06) in agreement with that of Lin & Mohr (2007) [58] at r . 0:1r200 but underestimates the density in the outskirts of the clusters. BL Lacs and FRI radio galaxies produce non negligible contamination at redshift z . 0:1. They produce a mean temperature fluctuation 4:5 K at redshift z 0:01 which can be at the same level as the kinetic SZE signal produced by the cluster. Blazars constitute potential contaminant of the thermal SZ effect at redshift z 1:0 and z 1:5 at 145 GHz where they produce a mean temperature 300 K - 350 K for an average mass of the cluster.en_US
dc.language.isoenen_US
dc.publisherUniversity of the Western Capeen_US
dc.subjectActive galactic nucleien_US
dc.subjectCosmic microwave backgrounden_US
dc.subjectSemi-analytic modelen_US
dc.subjectN-body simulationen_US
dc.subjectRadio luminosity functionen_US
dc.subjectSpectral energy distributionen_US
dc.subjectAccretion efficiencyen_US
dc.subjectRadio mode accretionen_US
dc.subjectQuasar mode accretionen_US
dc.subjectSunyaev-Zeldovich effecten_US
dc.titleModelling radio galaxies in the Millennium simulation: SKA/MeerKAT sources and CMB contaminantsen_US
dc.rights.holderCopyright: University of the Western Capeen_US
dc.description.countrySouth Africa


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