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Username: Password: Forgot Password? Jogesh; Feigelson, Eric D. Synopsis: This is the fourth in a series of international conferences for the vanguard of researchers in the cross-disciplinary field of astrostatistics. Both astronomical and statistical communities now recognize the wide array of fascinating methodological issues faced by the modern astronomer.

Ranging from terabyte wide-field surveys to small-N samples, from cosmology to the search for Earth-like planets, astronomical research can no longer be pursued with a small toolbox of familiar statistical methods. Over thirty distinguished scholars from both fields presented invited talks and commentaries on leading problems in astrostatistics.

The methodological challenges of inferring cosmological insights from the cosmic microwave background fluctuations, the distribution of galaxies in space, gravitational lensing, and galaxy structure wre describe in detail.

Statistical Challenges in Modern Astronomy VI

Time series analysis is discussed in a variety of contexts: sparse Poisson data, multiply-periodic systems, gravitational wave detection, and most dramatically in the search for extrasolar planets. Other topics covered include image processing, analysis of mega-datasets from large surveys, and small-N problems in both astronomy and particle physics.

The volume ends with cross-disciplinary overviews and software tutorials. The book will be valuable to graduate students and researchers in both astronomy and statistics who seek insights into this promising avenue of cross-disciplinary research. Page generated in 0. Search Advanced Paper Search. I'd like to read this book on Kindle Don't have a Kindle?


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    Statistical Challenges in Modern Astronomy II

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    Get fast, free delivery with Amazon Prime. Back to top. Get to Know Us. Amazon Payment Products. In the late 18th century, in order to model cometary orbits, Adrien-Marie Legendre developed a system to fit noisy data to a mathematical model, which is now called the L2 least squares parameter estimation.

    The least-squares method became an instant success in European astronomy. But the two fields diverged in the late 19th and early 20th centuries.

    About these proceedings

    Astronomy leaped onto the advances of physics — electromagnetism, thermodynamics, quantum mechanics and general relativity — to understand the physical nature of stars, galaxies and the universe as a whole. A subfield called statistical astronomy was still present, but concentrated on rather narrow issues involving star counts and the structure of galaxies.


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    • During that period, statistics concentrated on analytical approaches and found its principle applications in social sciences, biometrical sciences and practical industries, such as manufacturing. The close association of astronomy and statistics had been sundered.

      Astronomy at the beginning of the 21st century, particularly research arising from wide-field survey observatories looking at the sky across various wavelengths of light, finds itself challenged as it attempts to take advantage of statistical tools. These surveys can produce petabytes of raw data that may be reduced to terabytes of images or billion-object databases. The modern field of astrostatistics grew in the s, stimulated by the increasing complexity of astronomical data analysis and interpretation, and by increasing awareness of advances in applied and computational statistics.

      Statistical Methods in Astronomy

      Cross-disciplinary conferences began to bring astronomers and statisticians together to address statistical challenges in astronomy, astronomical image processing and galaxy clustering — and more recently, those efforts were matched to new textbooks to guide rising astronomers and statisticians. Its mission is to develop and share statistical expertise and toolkits for astronomy and related observational sciences.

      Bibliographic Information

      The Center for Astrostatistics is a unique organization in its mission to advance statistical methodology in astronomical research, and this is a pivotal moment in the nascent astrostatistics field. Astronomers are moving away from observation of single objects to enormous sky surveys at different wave bands i.