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Applications of big data and machine learning in galaxy formation and evolution /

Bibliographic Details
Main Author: Takeuchi, Tsutomu T. (Author)
Corporate Author: EBSCOhost
Format: eBook
Language:English
Published: Boca Raton, FL : CRC Press, 2025.
Edition:First edition.
Series:Series in astronomy and astrophysics.
Subjects:
Astronomy > Data processing.
Big data.
Data mining.
Computational intelligence.
Astronomy > Observations.
Exploration de données (Informatique)
Intelligence informatique.
topological data analysis;astrostatistics;survival analysis;machine-learning
Electronic books.
Online Access:Connect to the full text of this electronic book
Table 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.