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Scalar Fields in Numerical General Relativity - Inhomogeneous Inflation and Asymmetric Bubble Collapse (Hardcover, 1st ed. 2018) Loot Price: R3,030
Discovery Miles 30 300
Scalar Fields in Numerical General Relativity - Inhomogeneous Inflation and Asymmetric Bubble Collapse (Hardcover, 1st ed....

Scalar Fields in Numerical General Relativity - Inhomogeneous Inflation and Asymmetric Bubble Collapse (Hardcover, 1st ed. 2018)

Katy Clough

Series: Springer Theses

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Loot Price R3,030 Discovery Miles 30 300 | Repayment Terms: R284 pm x 12*

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This book explores the use of numerical relativity (NR) methods to solve cosmological problems, and describes one of the first uses of NR to study inflationary physics. NR consists in the solution of Einstein's Equation of general relativity, which governs the evolution of matter and energy on cosmological scales, and in systems where there are strong gravitational effects, such as around black holes. To date, NR has mainly been used for simulating binary black hole and neutron star mergers like those detected recently by LIGO. Its use as a tool in fundamental problems of gravity and cosmology is novel, but rapidly gaining interest. In this thesis, the author investigates the initial condition problem in early universe cosmology - whether an inflationary expansion period could have "got going" from initially inhomogeneous conditions - and identifies criteria for predicting the robustness of particular models. State-of-the-art numerical relativity tools are developed in order to address this question, which are now publicly available.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Springer Theses
Release date: June 2018
First published: 2018
Authors: Katy Clough
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 197
Edition: 1st ed. 2018
ISBN-13: 978-3-319-92671-1
Categories: Books > Science & Mathematics > Mathematics > Applied mathematics > General
Books > Science & Mathematics > Physics > Relativity physics > General
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LSN: 3-319-92671-3
Barcode: 9783319926711

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