Overview
- Presents new developments, advancements, and selected topics in the fields of artificial intelligence and related algorithms in the astrophysical data processing
- Discusses new ideas and interdisciplinary insight on the mutual intersection of subareas of artificial intelligence and computation and its impact and limits to many astrophysical problems
- Focuses on all aspects of reality-based computation approaches from an interdisciplinary point of view in all important areas of astrophysics as the signal processing in the radio astronomy, image processing with machine learning, deep learning applications on various astrophysical tasks, evolutionary computation in classification and modeling of astrophysical events, archive processing and anomaly detection in live streams from robotic telescopes and more
Part of the book series: Emergence, Complexity and Computation (ECC, volume 39)
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Table of contents (12 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This present book discusses the application of the methods to astrophysical data from different perspectives. In this book, the reader will encounter interesting chapters that discuss data processing and pulsars, the complexity and information content of our universe, the use of tessellation in astronomy, characterization and classification of astronomical phenomena, identification of extragalactic objects, classification of pulsars and many other interesting chapters. The authors of these chapters are experts in their field and have been carefully selected to create this book so that the authors present to the community a representative publication that shows a unique fusion of artificial intelligence and astrophysics.
Editors and Affiliations
Bibliographic Information
Book Title: Intelligent Astrophysics
Editors: Ivan Zelinka, Massimo Brescia, Dalya Baron
Series Title: Emergence, Complexity and Computation
DOI: https://doi.org/10.1007/978-3-030-65867-0
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-65866-3Published: 16 April 2021
Softcover ISBN: 978-3-030-65869-4Published: 16 April 2022
eBook ISBN: 978-3-030-65867-0Published: 15 April 2021
Series ISSN: 2194-7287
Series E-ISSN: 2194-7295
Edition Number: 1
Number of Pages: VIII, 296
Number of Illustrations: 18 b/w illustrations, 108 illustrations in colour
Topics: Computational Intelligence, Data Engineering, Astrophysics and Astroparticles