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17002 results

Page 146 of 851

Unveiling Galaxies
  • The Role of Images in Astronomical Discovery
  • Jean-René Roy
  • Published online:
    06 October 2017
    Print publication:
    12 October 2017
  • Galaxies are known as the building blocks of the universe, but arriving at this understanding has been a thousand-year odyssey. This journey is told through the lens of the evolving use of images as investigative tools. Initial chapters explore how early insights developed in line with new methods of scientific imaging, particularly photography. The volume then explores the impact of optical, radio and x-ray imaging techniques. The final part of the story discusses the importance of atlases of galaxies; how astronomers organised images in ways that educated, promoted ideas and pushed for new knowledge. Images that created confusion as well as advanced knowledge are included to demonstrate the challenges faced by astronomers and the long road to understanding galaxies. By examining developments in imaging, this text places the study of galaxies in its broader historical context, contributing to both astronomy and the history of science.

  • Frontmatter

  • Claude A. Pruneau, Wayne State University, Michigan
  • Book:
    Data Analysis Techniques for Physical Scientists
    Published online:
    24 October 2017
    Print publication:
    05 October 2017, pp i-iv
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  • How to Read This Book

  • Claude A. Pruneau, Wayne State University, Michigan
  • Book:
    Data Analysis Techniques for Physical Scientists
    Published online:
    24 October 2017
    Print publication:
    05 October 2017, pp xiii-xiv
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  • Part I - Foundation in Probability and Statistics

  • Claude A. Pruneau, Wayne State University, Michigan
  • Book:
    Data Analysis Techniques for Physical Scientists
    Published online:
    24 October 2017
    Print publication:
    05 October 2017, pp 15-16
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  • 14 - Collision and Detector Modeling

  • from Part III - Simulation Techniques
  • Claude A. Pruneau, Wayne State University, Michigan
  • Book:
    Data Analysis Techniques for Physical Scientists
    Published online:
    24 October 2017
    Print publication:
    05 October 2017, pp 663-686
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  • Summary

    Data Analysis Techniques for Physical Scientists is a comprehensive guide to data analysis techniques for physical scientists, providing a valuable resource for advanced undergraduate and graduate students, as well as seasoned researchers. The book begins with an extensive discussion of the foundational concepts and methods of probability and statistics under both the frequentist and Bayesian interpretations of probability. It next presents basic concepts and techniques used for measurements of particle production cross sections, correlation functions, and particle identification. Much attention is devoted to notions of statistical and systematic errors, beginning with intuitive discussions and progressively introducing the more formal concepts of confidence intervals, credible range, and hypothesis testing. The book also includes an in-depth discussion of the methods used to unfold or correct data for instrumental effects associated with measurement and process noise as well as particle and event losses, before ending with a presentation of elementary Monte Carlo techniques.

  • References

  • Claude A. Pruneau, Wayne State University, Michigan
  • Book:
    Data Analysis Techniques for Physical Scientists
    Published online:
    24 October 2017
    Print publication:
    05 October 2017, pp 687-697
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  • Index

  • Claude A. Pruneau, Wayne State University, Michigan
  • Book:
    Data Analysis Techniques for Physical Scientists
    Published online:
    24 October 2017
    Print publication:
    05 October 2017, pp 698-704
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Page 146 of 851