Statistical Challenges in 21st Century Cosmology (IAU S306)
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"Statistical Challenges in 21st Century Cosmology (IAU S306)" by Alan Heavens, Jean-Luc Starck, Alberto Krone-Martins is a mathematics book and learning resource focused on Deep Sky & Solar System. Best for teachers, students, and readers looking for stronger mathematical understanding.
The advent of advanced astronomical instruments and huge surveys means that the twenty-first century is witnessing a rapid growth in astrostatistical science. Interpreting the cosmic microwave background, weak and strong gravitational lensing, galaxy clustering and other signatures of the early Universe all require advanced statistical techniques. Led by members of the IAU's newly formed Working Group in Astrostatistics and Astroinformatics, IAU Symposium 306 emphasises the intricate mathematical methods needed to extract scientific insights from large and complicated datasets. It contains contributions on Bayesian methods, weak lensing cosmology, CMB data analysis, cross-correlating datasets, large-scale structure, data mining and machine learning, ongoing surveys and the future Euclid mission. The approaches presented here provide a solid foundation to advance new research methods in cosmology, making it an essential text for the large community of astronomers and statisticians who will analyse and interpret the vast and growing amount of observational data.
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"Statistical Challenges in 21st Century Cosmology (IAU S306)" by Alan Heavens, Jean-Luc Starck, Alberto Krone-Martins is a mathematics book and learning resource focused on Deep Sky & Solar System. Best for teachers, students, and readers looking for stronger mathematical understanding.
Topic: Deep Sky & Solar System
Author: Alan Heavens, Jean-Luc Starck, Alberto Krone-Martins
Who this is for:
- Teachers and classroom instructors
- Students building subject mastery
- Readers looking for practical learning support
Why this book matters: It stands out as a practical math resource that helps explain concepts, strengthen problem-solving, and support classroom or independent learning.
The advent of advanced astronomical instruments and huge surveys means that the twenty-first century is witnessing a rapid growth in astrostatistical science. Interpreting the cosmic microwave background, weak and strong gravitational lensing, galaxy clustering and other signatures of the early Universe all require advanced statistical techniques. Led by members of the IAU's newly formed Working Group in Astrostatistics and Astroinformatics, IAU Symposium 306 emphasises the intricate mathematical methods needed to extract scientific insights from large and complicated datasets. It contains contributions on Bayesian methods, weak lensing cosmology, CMB data analysis, cross-correlating datasets, large-scale structure, data mining and machine learning, ongoing surveys and the future Euclid mission. The approaches presented here provide a solid foundation to advance new research methods in cosmology, making it an essential text for the large community of astronomers and statisticians who will analyse and interpret the vast and growing amount of observational data.
| Author | Alan Heavens, Jean-Luc Starck, Alberto Krone-Martins |
| Publisher | Cambridge University Press |
| Published | 2015-07-23 |
| ISBN-13 | 9781107078567 |
| Binding | Hardcover |
| Language | English |
| Subjects | Science |
| Topic | Deep Sky & Solar System |
| Series | Proceedings of the International Astronomical Union Symposia |
Format: Hardcover
Language: English
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