Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/86857
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dc.contributor.authorHartnett, J.-
dc.date.issued2008-
dc.identifier.citationFoundations of Physics: an international journal devoted to the conceptual and fundamental theories of modern physics, biophysics, and cosmology, 2008; 38(3):201-215-
dc.identifier.issn0015-9018-
dc.identifier.issn1572-9516-
dc.identifier.urihttp://hdl.handle.net/2440/86857-
dc.description.abstractThe redshift-distance modulus relation, the Hubble Diagram, derived from Cosmological General Relativity has been extended to arbitrarily large redshifts. Numerical methods were employed and a density function was found that results in a valid solution of the field equations at all redshifts. The extension has been compared to 302 type Ia supernova data as well as to 69 Gamma-ray burst data. The latter however do not truly represent a ‘standard candle’ as the derived distance moduli are not independent of the cosmology used. Nevertheless the analysis shows a good fit can be achieved without the need to assume the existence of dark matter. The Carmelian theory is also shown to describe a universe that is always spatially flat. This results from the underlying assumption of the energy density of a cosmological constant ΩΛ=1, the result of vacuum energy. The curvature of the universe is described by a spacevelocity metric where the energy content of the curvature at any epoch is Ω K =ΩΛ−Ω=1−Ω, where Ω is the matter density of the universe. Hence the total density is always Ω K +Ω=1.-
dc.description.statementofresponsibilityJohn G. Hartnett-
dc.language.isoen-
dc.publisherSpringer-
dc.rights© Springer Science+Business Media, LLC 2007-
dc.subjectCosmological General Relativity-
dc.subjectHigh redshift type Ia supernovae-
dc.subjectDark matter-
dc.subjectDistance modulus-
dc.titleExtending the redshift-distance relation in Cosmological General Relativity to higher redshifts-
dc.typeJournal article-
dc.identifier.doi10.1007/s10701-007-9198-5-
pubs.publication-statusPublished-
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