Applications of Big Data and Machine Learning in Galaxy Formation - and Evolutio

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.

List of contents

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.

About the author

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

Summary

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.

Product details

• Authors: Tsutomu T. Takeuchi
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 23.04.2025
• EAN: 9780367611392
• ISBN: 978-0-367-61139-2
• No. of pages: 402
• Series: Series in Astronomy and Astrophysics
• Subjects: Natural sciences, medicine, IT, technology > Physics, astronomy > Astronomy; MATHEMATICS / Probability & Statistics / General, SCIENCE / Physics / General, Astrophysics, SCIENCE / Physics / Mathematical & Computational, COMPUTERS / Mathematical & Statistical Software, Mathematics, SCIENCE / Physics / Astrophysics, COMPUTERS / Machine Theory, computer science, Information technology: general issues, Automatic control engineering, Statistical physics, Information technology: general topics, COMPUTERS / Data Science / Data Modeling & Design, SCIENCE / Space Science / Astronomy, COMPUTERS / Data Science / Data Visualization