Overview
- A set of pedagogical lecture notes explaining the best techniques used to extract information from cosmological data, as well as reliable methods that should help us improve our view of our universe
Part of the book series: Lecture Notes in Physics (LNP, volume 665)
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Table of contents (19 chapters)
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Front Matter
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Statistics of Cosmic Background Radiation
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Front Matter
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Statistics of Large-Scale Structure
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Front Matter
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Keywords
About this book
The amount of cosmological data has dramatically increased in the past decades due to an unprecedented development of telescopes, detectors and satellites. Efficiently handling and analysing new data of the order of terabytes per day requires not only computer power to be processed but also the development of sophisticated algorithms and pipelines.
Aiming at students and researchers the lecture notes in this volume explain in pedagogical manner the best techniques used to extract information from cosmological data, as well as reliable methods that should help us improve our view of the universe.
Bibliographic Information
Book Title: Data Analysis in Cosmology
Editors: Vicent J. Martinez, Enn Saar, Enrique Martinez Gonzales, Maria Jesus Pons-Borderia
Series Title: Lecture Notes in Physics
DOI: https://doi.org/10.1007/978-3-540-44767-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2009
Hardcover ISBN: 978-3-540-23972-7Published: 28 October 2008
Softcover ISBN: 978-3-642-06305-3Published: 22 October 2010
eBook ISBN: 978-3-540-44767-2Published: 09 July 2009
Series ISSN: 0075-8450
Series E-ISSN: 1616-6361
Edition Number: 1
Number of Pages: XII, 636
Topics: Classical and Quantum Gravitation, Relativity Theory, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Numerical and Computational Physics, Simulation