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Data Analysis in Cosmology - Vicent J. Martinez; Enn Saar; Enrique Martinez Gonzales; Maria Jesus Pons-Borderia
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Vicent J. Martinez; Enn Saar; Enrique Martinez Gonzales; Maria Jesus Pons-Borderia:

Data Analysis in Cosmology - neues Buch

ISBN: 9783540447672

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 analys… Mehr…

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Data Analysis in Cosmology - Vicent J. Martinez; Enn Saar; Enrique Martinez Gonzales; Maria Jesus Pons-Borderia
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Vicent J. Martinez; Enn Saar; Enrique Martinez Gonzales; Maria Jesus Pons-Borderia:

Data Analysis in Cosmology - neues Buch

ISBN: 9783540447672

Physics; Classical and Quantum Gravitation, Relativity Theory; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Numerical and Computational Physics, Si… Mehr…

  - 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. Versandkosten:zzgl. Versandkosten.
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Data Analysis in Cosmology - neues Buch

ISBN: 9783540447672

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… Mehr…

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Data Analysis in Cosmology - neues Buch

ISBN: 9783540447672

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… Mehr…

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Enrique Martinez Gonzales; Vicent J. Martinez; Maria Jesus Pons-Borderia; Enn Saar:
Data Analysis in Cosmology - neues Buch

2009, ISBN: 9783540447672

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Bibliographische Daten des bestpassenden Buches

Details zum Buch

Detailangaben zum Buch - Data Analysis in Cosmology


EAN (ISBN-13): 9783540447672
Erscheinungsjahr: 2009
Herausgeber: Springer Berlin Heidelberg

Buch in der Datenbank seit 2015-12-21T02:15:17+01:00 (Vienna)
Detailseite zuletzt geändert am 2021-08-07T16:57:13+02:00 (Vienna)
ISBN/EAN: 9783540447672

ISBN - alternative Schreibweisen:
978-3-540-44767-2
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: pons, enrique martinez, schäfer schäfer, maria jesus, martin saar, gonzales
Titel des Buches: analysis, cosmology


Daten vom Verlag:

Autor/in: Vicent J. Martinez; Enn Saar; Enrique Martinez Gonzales; Maria Jesus Pons-Borderia
Titel: Lecture Notes in Physics; Data Analysis in Cosmology
Verlag: Springer; Springer Berlin
636 Seiten
Erscheinungsjahr: 2009-07-09
Berlin; Heidelberg; DE
Sprache: Englisch
96,29 € (DE)
99,00 € (AT)
118,00 CHF (CH)
Available
XII, 636 p.

EA; E107; eBook; Nonbooks, PBS / Physik, Astronomie/Theoretische Physik; Gravitation; Verstehen; Cosmology; Gravity; Likelihood; Universe; correlation; cosmic microwave background; data analysis; gravitational lensing; large scale structure; power spectrum; C; Classical and Quantum Gravity; Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Theoretical, Mathematical and Computational Physics; Physics and Astronomy; Wahrscheinlichkeitsrechnung und Statistik; Mathematische Physik; BB

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.
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

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