Astronomical Image and Data Analysis, 2nd Edition by Starck & Murtagh (Springer, Paperback)

Astronomical Image and Data Analysis, Second Edition, by Jean-Luc Starck and Fionn Murtagh is the Springer paperback in the Astronomy and Astrophysics Library that takes an engineering approach to interpreting astronomical images and data, with emphasis on multiscale and wavelet methods.

Starck and Murtagh are among the researchers who brought wavelet and multiresolution methods into astronomy, and this book is their reference treatment. It covers filtering and noise modeling, deconvolution, detection, compression of large and hyperspectral data sets, multiwavelength analysis, and the analysis of catalogs and the cosmic web. The second edition was updated throughout, with new contributions on hyperspectral compression, multiwavelength analysis, and the genus function, and it reflects the shift toward e-science and the virtual observatory.

What's included

• Astronomical Image and Data Analysis, Second Edition, paperback
• Part of the Springer Astronomy and Astrophysics Library series
• Coverage of filtering, deconvolution, detection, image compression, multichannel data, and catalog analysis
• Updated topics including compression of hyperspectral data and multiwavelength data analysis
• Cover image from the Deep Impact mission, deconvolved with the Richardson-Lucy method
• Publisher: Springer

Who it's for

Graduate students and researchers in astronomy and astrophysics who process imaging and survey data, instrument and pipeline scientists at observatories, and signal-processing engineers who want a worked treatment of wavelets applied to real scientific data. A background in linear algebra and basic Fourier methods is assumed.

Why this edition

The second edition is the one to have. Compared with the first, it updates the methods, broadens the data types covered, and adds contributions from colleagues on hyperspectral and multiwavelength problems that have only grown more relevant as surveys produce more data. This is the softcover printing of the Springer edition, which is the practical choice for a working copy.

Frequently asked questions

What math background does this book assume?

Linear algebra, basic probability, and familiarity with Fourier methods. The wavelet material is developed in the text.

Is the software covered still available?

The book teaches methods rather than a single package, and the authors’ multiscale techniques have been implemented in several open-source astronomy tools.

Is this a paperback?

Yes. This is the softcover printing of the second edition from Springer.

Details