Название: Applications of Big Data and Machine Learning in Galaxy Formation and Evolution
Автор: Tsutomu T. Takeuchi
Издательство: CRC Press
Год: 2025
Страниц: 420
Язык: английский
Формат: pdf (true)
Размер: 21.0 MB

As investigations into our Universe become more complex, in-depth, and widespread, galaxy surveys are requiring state-of-the-art data scientific methods to analyze them. 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. This book helps translate the cutting-edge methods into accessible guidance for those without a formal background in Computer Science. It is an ideal manual for astronomers and astrophysicists, in addition to graduate students and postgraduate students in science and engineering looking to learn how to apply Data Science to their research.

This book introduces the methods of using the rapidly developing field of Data Science to study the important topic of galaxy formation and evolution in astrophysics. The scope of the term “Data Science” is extremely broad and varies by interpretation. In this book, I aim at presenting new statistical methods, including computationally intensive techniques that have emerged alongside advances in computing power, as well as Machine Learning (ML) approaches for the era of big data science, using the research themes I have led as examples.

Machine Learning is a technology that enhances the performance of narrow AI. More specifically, Machine Learning enables computers to learn from experience, much like humans. It can iteratively learn from data, identify patterns and characteristics, and make predictions for new, unseen data. For example, Machine Learning excels at image recognition and classification. It can learn the distinguishing features of images of specific objects, such as cars, and identify that an image or a hand-drawn illustration is of a car. Furthermore, Machine Learning can classify objects in images into predefined categories. In general, Machine Learning can recognize and classify images, predict future outcomes based on current data, and group data into clusters.

Key Features:

• Introduces applications of Data Science methods to the exciting subject of galaxy formation and evolution.
• Provides a practical guide to understanding cutting-edge data-scientific methods, as well as classical astrostatistical methods.
• Summarises a vast range of statistical and informatics methods in one volume, with concrete applications to astrophysics.




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