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Data Analysis in Cosmology
Details
The development of telescopes, detectors and satellites has led to a dramatic increase in cosmological data. This book offers the best techniques to extract information from that data and reliable methods to improve our view of the universe.
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.
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
Inhalt
Universal Tools.- The Sea of Wavelets.- Fisher Matrices and All That: Experimental Design and Data Compression.- Data Compression, Classification and Parameter Estimation. Methods: Examples from Astronomy.- Statistics of Cosmic Background Radiation.- Cosmic Microwave Background Anisotropies: The Power Spectrum and Beyond.- Cosmic Microwave Background Polarization Analysis.- Diffuse Source Separation in CMB Observations.- Techniques for Compact Source Extraction in CMB Maps.- Determination of Cosmological Parameters from Cosmic Microwave Background Anisotropies.- Cosmic Microwave Background Data Analysis: From Time-Ordered Data to Angular Power Spectra.- Statistics of Large-Scale Structure.- The Large-Scale Structure in the Universe: From Power Laws to Acoustic Peaks.- The Cosmic Web: Geometric Analysis.- Power Spectrum Estimation. I. Basics.- Power Spectrum Estiamtion II. Linear Maximum Likelihood.- to Higher Order Spatial Statistics in Cosmology.- Phase Correlations and Topological Measures of Large-Scale Structure.- Multiscale Methods.- Gaussian Fields and Constrained Simulations of the Large-Scale Structure.- Weak Gravitational Lensing.- Mass Reconstruction from Lensing.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783642063053
- Auflage Softcover reprint of hardcover
- Editor Vicent J. Martinez, Enn Saar, Enrique Martinez Gonzales, Maria Jesus Pons-Borderia
- Sprache Englisch
- Genre Physik & Astronomie
- Größe H235mm x B155mm
- Jahr 2010
- EAN 9783642063053
- Format Kartonierter Einband
- ISBN 978-3-642-06305-3
- Veröffentlichung 22.10.2010
- Titel Data Analysis in Cosmology
- Untertitel Lecture Notes in Physics 665
- Gewicht 985g
- Herausgeber Springer-Verlag GmbH
- Anzahl Seiten 636
- Lesemotiv Verstehen