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Simulating Large-Scale Structure for Models of Cosmic Acceleration

Baojiu Li

Description

Simulating Large-Scale Structure for Models of Cosmic Acceleration explores alternative cosmological models and how we can learn from these as well as differentiate them from the standard cosmic model. It also looks at the ways in which techniques can be used to accurately develop and test the model to produce new observations. This self-contained book provides a fundamental guide to researchers looking to enter the field of cosmological simulations. Postgraduate students will also find it of use as the need for numerical simulations and astronomical surveys increases. The book contains a significant amount of Baojiu Li's own research, as well as assistance from other experts and collaborators in the field, and it will certainly encourage others to explore the ever-expanding world of cosmic acceleration.  


About Editors

Baojiu Li is an associate professor at the Institute for Computational Cosmology, Durham University. He is widely acclaimed for his work on theoretical and numerical cosmology and he has contributed significantly to works relating to large-scale structures of the universe, gravitational lensing, cosmological simulations and numerical relativity. Li has written numerous papers in his topic and lectures at Durham University.

Table of Contents

Introduction

Cosmological models

Probes of cosmic structure formation

Simulation techniques in nonstandard models

An application: density reconstruction

Conclusions

Appendix

Bibliographic

Hardback ISBN: 9780750315852

Ebook ISBN: 9780750315876

DOI: 10.1088/978-0-7503-1587-6

Publisher: Institute of Physics Publishing

Series: AAS-IOP Astronomy

Reviews

I highly recommend this book to anyone entering the field of numerical simulations of non-standard cosmologies, who will find here an apt introduction to the topic.

The book does not provide an index for its use as reference work, but the clear presentation and organization

of the chapters makes it easy to navigate, and the appendix gives a summary of frequently-used mathematical relations and manipulations for look-up. Finally, the reading material is nicely illustrated by many well-prepared colour figures, which makes for a joyful read. 

Lucas Lombriser 2020 The Observatory Magazine


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