Series: Proceedings of the International Astronomical Union Symposia and Colloquia
(Pub. Date: 31-Jul-2025, Hardback, Publisher: Cambridge University Press, ISBN-13: 9781009345194)
IAU S368 addresses graduate students and professional astronomers who wish to leverage machine learning to unlock the potential of modern data-rich surveys and deep images, as well as archival data. Researchers at the frontiers share best practices i...More info...
Python Experiments in Physics and Astronomy acts as a resource for science and engineering students or faculty who would like to see how a diverse selection of topics can be analyzed and simulated using Python programs. Py...More info...
Radio astronomy is irreversibly moving towards the exabyte era. In the advent of all-sky radio observations, efficient tools and methods to manage the large data volume generated have become imperative.This book brings together the knowledg...More info...
The dark universe contains matter and energy unidentifiable with current physical models, accounting for 95 of all the matter and energetic equivalent in the universe. The enormous surplus brings up daunting enigmas, such as the cosmological cons...More info...
This book explores the applications of AI and how it can be used to embark on a metaphysical quest to identify the topology of the universe as a prerequisite to implementing a physical model of the dark universe. The dark universe c...More info...
(Pub. Date: 17-May-2024, Hardback, Publisher: Institute of Physics Publishing, ISBN-13: 9780750351454)
Over the past two decades, Python has become the de facto standard language of data science both in industry and astronomy (with the exception of simulations and other extreme scale computing problems). This course text is a full introduction to p...More info...
Proceedings of SPIE offer access to the latest innovations in research and technology and are among the most cited references in patent literature....More info...
This book explores the possibility of the use of artificial intelligence (AI) to solve one of the cosmos biggest mysteries: the nature of undetectable forms of matter, namely dark matter and dark energy, which make up 95 of the universe....More info...
A hands-on introduction to machine learning and its applications to the physical sciences. As the size and complexity of data continue to grow exponentially across the physical sciences, machine learning is helping scientists to sift through and ana...More info...
(Pub. Date: 15-Aug-2023, Hardback, Publisher: Princeton University Press, ISBN-13: 9780691203928)
A hands-on introduction to machine learning and its applications to the physical sciencesAs the size and complexity of data continue to grow exponentially across the physical sciences, machine learning is helping scientists to sift...More info...
Proceedings of SPIE offer access to the latest innovations in research and technology and are among the most cited references in patent literature....More info...
Rosa M. Ros, Beatriz Garcia, Steven R. Gullberg, Javier Moldσn, Patricio Rojo
Series: Proceedings of the International Astronomical Union Symposia and Colloquia
(Pub. Date: 24-Mar-2022, Hardback, Publisher: Cambridge University Press, ISBN-13: 9781108490801)
For thousands of years people have looked to the skies to better understand the universe and our place within it. Crucially it is the role of teachers and experts to make astronomical concepts accessible to the next generation, and to pass on our col...More info...
This book constitutes the proceedings of the 10th International Conference on Big Data Analytics, BDA 2022, which took place in a hybrid mode during December 2022 in Aizu, Japan.The 14 full papers included in this volume were carefully reviewed an...More info...
This book constitutes the proceedings of the 9th International Conference on Big Data Analytics, BDA 2021, which took place virtually during December 79, 2021.The 15 full papers and 1 short paper included in this volume were carefully reviewed an...More info...
Big Data in Radio Astronomy: Scientific Data Processing for Advanced Radio Telescopes provides the latest research developments in big data methods and techniques for radio astronomy. Providing examples from such projects as the Square Kilo...More info...
