Results 11 to 20 of about 90,199 (336)
Observational constraints on Rastall's cosmology [PDF]
Rastall's theory is a modification of General Relativity, based on the non-conservation of the stress-energy tensor. The latter is encoded in a parameter $\gamma$ such that $\gamma = 1$ restores the usual $\nabla_\nu T^{\mu\nu} = 0$ law.
A. Felice De+32 more
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Observational Cosmology in Macroscopic Gravity [PDF]
We discuss the construction of cosmological models within the framework of Macroscopic Gravity (MG), which is a theory that models the effects of averaging the geometry of space-time on large scales.
Alan Coley+11 more
core +6 more sources
Observational test of quantum cosmology [PDF]
15 pages RevTex, including two postscript figure files. Revised to extend range of Coleman De Luccia theories considered and to include models with a cosmological ...
Steven Gratton+2 more
openalex +3 more sources
Observations in quantum cosmology
AbstractIn this review, we focus on whether a canonical quantization of general relativity can produce testable predictions for cosmology. In particular, we examine how this approach can be used to model the evolution of primordial perturbations.
Leonardo Chataignier+2 more
openaire +2 more sources
Revisiting geodesic observers in cosmology [PDF]
AbstractGeodesic observers in cosmology are revisited. The coordinates based on freely falling observers introduced by Gautreau in de Sitter and Einstein-de Sitter spaces (and, previously, by Gautreau and Hoffmann in Schwarzschild space) are extended to general FLRW universes.
Geneviève Vachon+2 more
openaire +5 more sources
Despite the title, I am afraid that I will not be able to really do justice to the broad topic I was given to review. But I will show the current striking level of precise consistency between the CMB and LSS data \textit{within the \LCDM\ theoretical framework} (with the acronyms CMB and LSS standing for Cosmic Microwave Background and Large Scale ...
openaire +2 more sources
Predicting cosmological observables with PyCosmo
Astronomy and Computing ...
F. Tarsitano+9 more
openaire +4 more sources
Machine learning for observational cosmology
Abstract An array of large observational programs using ground-based and space-borne telescopes is planned in the next decade. The forthcoming wide-field sky surveys are expected to deliver a sheer volume of data exceeding an exabyte.
Kana Moriwaki+2 more
openaire +3 more sources
Republication of: Observations in cosmology [PDF]
This is a reprinting of a paper by Jerome Kristian and Rainer K. Sachs, first published in 1966, in which they proposed a power-series scheme for reading out various parameters of the Universe directly from observations in a model-independent way. The paper has been selected by the Editors of General Relativity and Gravitation for re-publication in the
Jerome Kristian, Rainer K. Sachs
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Supernovae - a tool for observational cosmology [PDF]
Type Ia Supernovae (SNe) are excellent distance indicators in the Universe. Observations of distant SNe~Ia led to the discovery of the accelerating expansion of the Universe. The most recent analysis of SNe Ia indicates that considering a flat $\Lambda$CDM cosmology, the contribution of dark energy in the total density of the Universe is $\sim$70 ...
M. V. Pruzhinskaya, P.-F. Léget
openalex +2 more sources