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dc.contributor.advisorVenter, C.
dc.contributor.advisorHarding, A.K.
dc.contributor.authorBezuidenhout, M.C.
dc.date.accessioned2018-10-17T09:22:05Z
dc.date.available2018-10-17T09:22:05Z
dc.date.issued2018
dc.identifier.urihttps://orcid.org/0000-0001-9541-7439
dc.identifier.urihttp://hdl.handle.net/10394/31425
dc.descriptionMSc (Astrophysical Sciences), North-West University, Potchefstroom Campus
dc.description.abstractThe Fermi Large Area Telescope (LAT) is a high-energy satellite that operates in the Me V to Ge V band. Fermi has revolutionised pulsar physics by its clear detection of more than 200 of these objects in 1-rays. Since its launch in 2008, there have been various attempts to exploit both 1-ray and radio pulsar data to obtain constraints on the geometry and emission sites of pulsars. By concurrently fitting standard geometric model light curves onto Fermi and radio data, researchers have constrained the inclination and observer angles of a number of pulsars. At first this was done by comparing observed and modelled light curves by eye, and later via statistical approaches. Such statistical approaches are, however, complicated by the disparate error margins on the available radio and 1-ray pulsar observations. In this work, I fit modelled light curves of 16 pulsars to radio and 1-ray data both by eye and by optimising a bespoke test statistic developed by Seyffert et al. (in preparation) for combining light curves across the two wavebands, taking their disparate errors into account. I present geometrical constraints found using these approaches, and compare them with results found by Johnson et al. (2014) and Pierbattista et al. (2015) for the same pulsars.en_US
dc.language.isoenen_US
dc.publisherNorth-West Universityen_US
dc.subjectAstrophysicsen_US
dc.subjectpulsarsen_US
dc.subjectlight curve modellingen_US
dc.subjectgoodness of fiten_US
dc.subjectPearson's x2 testen_US
dc.subjectgamma raysen_US
dc.subjectradioen_US
dc.titleStatistical methods for constraining pulsar geometries via multiband light curve fittingen_US
dc.typeThesisen_US
dc.description.thesistypeMastersen_US
dc.contributor.researchID12006653 - Venter, Christo (Supervisor)


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