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Statistical Challenges in 21st Century Cosmology (IAU S306)

Statistical Challenges in 21st Century Cosmology (IAU S306)


Part of Proceedings of the International Astronomical Union Symposia and Colloquia

  • Date Published: July 2015
  • availability: In stock
  • format: Hardback
  • isbn: 9781107078567

£ 78.00

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About the Authors
  • 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.

    • Comprehensive coverage of the challenges and solutions in cosmological data analysis
    • A valuable source of overviews and technical methods for researchers in the field
    • Draws together contributions from international experts at the first ever IAU Symposium on Astrostatistics
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    Product details

    • Date Published: July 2015
    • format: Hardback
    • isbn: 9781107078567
    • length: 433 pages
    • dimensions: 254 x 181 x 20 mm
    • weight: 0.73kg
    • contains: 200 b/w illus. 20 tables
    • availability: In stock
  • Table of Contents

    The organizing committee
    1. Bayes
    2. Statistics
    3. Sparsity
    4. Weak lensing
    5. CMB
    6. Radio
    7. Joint probes
    8. LSS
    9. Data mining
    10. Survey
    11. Future projects
    12. Other
    13. Conclusions
    Author index.

  • Editors

    Alan Heavens, Imperial College London

    Jean-Luc Starck, Commissariat à l'Energie

    Alberto Krone-Martins, Universidade de Lisboa

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