Overview
- Algorithmically oriented handbook on basic tools in Astronomical Data Analysis aimed at observing astronomers
- Unique especially in its treatment of wavelet analysis and can also be used for classroom work
- There are practically no books available on this important topic
- Includes supplementary material: sn.pub/extras
Part of the book series: Astronomy and Astrophysics Library (AAL)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Reviews
"This book is an authoritative and thorough account of numerous mathematical techniques used by research astronomers and I can strongly recommend it for those purposes." (C.R. Kitchin, Astronomy Now, Oct. 2003)
"The book addresses not only students and professional astronomers and astrophysicists, but also serious amateur astronomers and specialists in earth observation, medical imaging, and data mining." (Europe & Astronomy, 905, 2003)
"The phenomenal amounts of data produced by modern telescopes require powerful tools to extract whatever valuable nuggets of information they contain from the dross of unwanted signal and noise. Computer power available to reduce the data is barely sufficient to keep pace. This monograph is aimed at solving these problems by a variety of different methods. [...] The book includes a number of well-chosen illustrative examples, some based on real, and others on artificial data. It also has a substantial bibliography. However it is not a guide to the several excellent reduction packages currently available. Rather it is a thorough investigation of how astronomical images can be modelled and how the maximum information can be extracted from the noise, and for this it can be recommended." (The Observatory, 123/1174, 2003)
Authors and Affiliations
Bibliographic Information
Book Title: Astronomical Image and Data Analysis
Authors: Jean-Luc Starck, Fionn Murtagh
Series Title: Astronomy and Astrophysics Library
DOI: https://doi.org/10.1007/978-3-662-04906-8
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2002
eBook ISBN: 978-3-662-04906-8Published: 17 April 2013
Series ISSN: 0941-7834
Series E-ISSN: 2196-9698
Edition Number: 1
Number of Pages: XI, 291
Number of Illustrations: 91 b/w illustrations, 45 illustrations in colour
Topics: Astronomy, Observations and Techniques, Astrophysics and Astroparticles, Space Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics)