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Data Analysis in Cosmology: Lecture Notes in Physics, cartea 665

Editat de Vicent J. Martinez, Enn Saar, Enrique Martinez Gonzales, Maria Jesus Pons-Borderia
en Limba Engleză Hardback – 28 oct 2008
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.
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Specificații

ISBN-13: 9783540239727
ISBN-10: 3540239723
Pagini: 652
Ilustrații: XII, 636 p.
Dimensiuni: 155 x 235 x 40 mm
Greutate: 1 kg
Ediția:2009
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Physics

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

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.

Textul de pe ultima copertă

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.

Caracteristici

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