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Anisotropic Expansion of Universe in f(R,T) Cosmological Model

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TLDR
In this article, a detailed analysis of the cosmic dipoles in f(R,T) cosmological model is presented, showing that the maximum anisotropic deviation direction is (l,b) = (137.7 −32).
Abstract
Recent astronomical observations show that the universe may be anisotropic on large scales. The Union2 SnIa data hint that the universe has a preferred direction. If such a cosmological privileged axis indeed exists, one has to consider an anisotropic expanding Universe, instead of the isotropic cosmological model. In this paper, we present a detailed analysis of the cosmic dipoles in f(R,T) Cosmological Model. the maximum anisotropic deviation direction is (l,b) = (137.7 −32

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Quantum Fields in Curved Space

N. D. Birrell, +1 more
TL;DR: A comprehensive review of the subject of gravitational effects in quantum field theory can be found in this paper, where special emphasis is given to the Hawking black hole evaporation effect, and to particle creation processes in the early universe.
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Consistently large cosmic flows on scales of 100 h−1 Mpc: a challenge for the standard ΛCDM cosmology

TL;DR: In this paper, the authors introduce a new method of calculating bulk flow moments where velocities are weighted to give an optimal estimate of the bulk flow of an idealized survey, with the variance of the difference between the estimate and the actual flow being minimized.
Journal ArticleDOI

Reconstruction of some cosmological models in f( R, T ) cosmology

TL;DR: In this paper, the authors reconstruct cosmological models in the framework of f(R,T) gravity, where R is the Ricci scalar and T is the trace of the stress-energy tensor.
Journal ArticleDOI

Consistently Large Cosmic Flows on Scales of 100 Mpc/h: a Challenge for the Standard LCDM Cosmology

TL;DR: In this article, the authors introduce a new method of calculating bulk flow moments where velocities are weighted to give an optimal estimate of the bulk flow of an idealized survey, with the variance of the difference between the estimate and the actual flow being minimized.
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