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£122.22
Springer Supernova Cosmology 21st Century - Machine Learning Methods
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Description
Key Features
Develops novel machine-learning methods for supernova type Ia cosmology scalable to next-generation astronomical surveys.
Demonstrates a fully simulation-based approach to inference that increases efficiency and speed of cosmological analysis by orders of magnitude.
Combines advances in machine learning, numerical modelling, and physical insight to bridge cosmology and data science disciplines.
Provides practical solutions for overcoming limitations of current cosmological inference methods whilst handling large samples of objects efficiently.
Part of the Springer Theses series, presenting cutting-edge doctoral research in astronomy and space science.
Product Specifications
- Brand
- Springer
- Format
- hardcover
- ASIN
- 303215071X
- Domain
- Amazon UK
- Release Date
- 05 May 2026
- Listed Since
- 19 November 2025
Barcode
No barcode data available
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