Advertisement

Data Analysis in Cosmology

  • Vicent J. Martinez
  • Enn Saar
  • Enrique Martinez Gonzales
  • Maria Jesus Pons-Borderia

Part of the Lecture Notes in Physics book series (LNP, volume 665)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Universal Tools

  3. Statistics of Cosmic Background Radiation

  4. Statistics of Large-Scale Structure

  5. Back Matter
    Pages 1-8

About this book

Introduction

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.

Keywords

Cosmology Gravity Likelihood Universe correlation cosmic microwave background data analysis gravitational lensing large scale structure power spectrum

Editors and affiliations

  • Vicent J. Martinez
  • Enn Saar
  • Enrique Martinez Gonzales
  • Maria Jesus Pons-Borderia

There are no affiliations available

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-44767-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Physics and Astronomy
  • Print ISBN 978-3-540-23972-7
  • Online ISBN 978-3-540-44767-2
  • Series Print ISSN 0075-8450
  • Series Online ISSN 1616-6361
  • Buy this book on publisher's site
Industry Sectors
Biotechnology
Energy, Utilities & Environment
Aerospace