Tsutomu T. Takeuchi

Applications of Big Data and Machine Learning in Galaxy Formation and Evolution (eBook, PDF)

• Format: PDF

Produktbeschreibung

This book provides a practical introduction to big data in galaxy formation and evolution, introducing the astrophysical basics, before delving into the latest techniques being introduced to astronomy and astrophysics from data science.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 420
• Erscheinungstermin: 29. April 2025
• Englisch
• ISBN-13: 9781040330074
• Artikelnr.: 73523072

Autorenporträt

Tsutomu T. Takeuchi is Associate Professor, Division of Particle and Astrophysical Science, Nagoya University, Japan.

Inhaltsangabe

Chapter 1: Introduction. Chapter 2: Properties of Galaxies. Chapter 3:
Interstellar Medium (ISM). Chapter 4: Chemical Evolution of Galaxies.
Chapter 5: Observational Star Formation Rate Indicator. Chapter 6:
Clusters, Clustering of Galaxies, and the Large-Scale Structure. Chapter 7:
Structure and Galaxy Formation in the Universe. Chapter 8: Basics of
Statistics. Chapter 9: Expectation-Maximization (EM) Algorithm. Chapter 10:
Copula and Luminosity and Mass Functions of Galaxies. Chapter 11:
High-dimensional Statistical Analysis. Chapter 12: Basics of Machine
Learning. Chapter 13: Galaxy Face. Chapter 14: New Quantification of Galaxy
Evolution by Manifold Learning. Chapter 15: Topological Data Anlysis of the
Large-Scale Structure. Chapter 16: Radio Morphology of Galaxies with
Machine Learning. Appendix A: Cosmological Basics. Appendix B:
Supplementary Information on Mathematics and Machine Learning. Appendix C:
Physical Constants and Units. Bibliography. Index.