Machine Learning for Astrophysics 2024
Proceedings of the 2nd ML4ASTRO International Conference 8-12 July 2024
Series: Astrophysics and Space Science Proceedings; 62;
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Product details:
- Publisher Springer Nature Switzerland
- Date of Publication 8 November 2025
- Number of Volumes 1 pieces, Book
- ISBN 9783032022318
- Binding Hardback
- No. of pages176 pages
- Size 235x155 mm
- Language English
- Illustrations X, 176 p. 75 illus., 72 illus. in color. 700
Categories
Long description:
This proceedings book reviews the state of the art in the exploitation of machine learning techniques for the astrophysics community and gives the reader a complete overview of the field. The contributed chapters allow the reader to easily digest the material through balanced theoretical and numerical methods and tools with applications in different fields of theoretical and observational astronomy. The book helps the reader to really understand and quantify both the opportunities and limitations of using machine learning in several fields of astrophysics.
MoreTable of Contents:
Introduction.- Past and Future Multi wavelength Sky Surveys.- Time domain and Transients.- Astroparticle Physics.- Space debris solar physics and exoplanets.- Cosmology and Simulations.
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