E-Book, Englisch, 291 Seiten, eBook
Starck / Murtagh Astronomical Image and Data Analysis
Erscheinungsjahr 2013
ISBN: 978-3-662-04906-8
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 291 Seiten, eBook
Reihe: Astronomy and Astrophysics Library
ISBN: 978-3-662-04906-8
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
When we consider the ever increasing amount of astronomical data available to us, we can well say that the needs of modern astronomy are growing by the day. Ever better observing facilities are in operation. The fusion of infor mation leading to the coordination of observations is of central importance. The methods described in this book can provide effective and efficient ripostes to many of these issues. Much progress has been made in recent years on the methodology front, in line with the rapid pace of evolution of our technological infrastructures. The central themes of this book are information and scale. The approach is astronomy-driven, starting with real problems and issues to be addressed. We then proceed to comprehensive theory, and implementations of demonstrated efficacy. The field is developing rapidly. There is little doubt that further important papers, and books, will follow in the future. Colleagues we would like to acknowledge include: Alexandre Aussem, Albert Bijaoui, Franc;ois Bonnarel, Jonathan G. Campbell, Ghada Jammal, Rene Gastaud, Pierre-Franc;ois Honore, Bruno Lopez, Mireille Louys, Clive Page, Eric Pantin, Philippe Querre, Victor Racine, Jerome Rodriguez, and Ivan Valtchanov.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
1. Introduction to Applications and Methods.- 2. Filtering.- 3. Deconvolution.- 4. Detection.- 5. Image Compression.- 6. Multichannel Data.- 7. An Entropic Tour of Astronomical Data Analysis.- 8. Astronomical Catalog Analysis.- 9. Multiple Resolution in Data Storage and Retrieval.- 10. Towards the Virtual Observatory.- Appendix A: à Trous Wavelet Transform.- Appendix B: Picard Iteration.- Appendix C: Wavelet Transform Using the Fourier Transform.- Appendix D: Derivative Needed for the Minimization.- Appendix E: Generalization of the Derivative Needed for the Minimization.- Appendix F: Software and Related Developments.
