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Astrophysics through Computation
With Mathematica® Support

$70.00

  • Date Published: June 2013
  • availability: Available
  • format: Hardback
  • isbn: 9781107010741

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  • This new text surveys a series of fundamental problems in astrophysics, both analytically and computationally for advanced students in physics and astrophysics. The contents are supported by over 110 class-tested Mathematica notebooks, allowing rigorous solutions to be explored in a visually engaging way. Topics covered include many classical and historically interesting problems, enabling the students to appreciate the mathematical and scientific challenges that were overcome in the subject's development. The text also shows the advantages and disadvantages of using analytical and computational methods. It will serve students, professionals, and capable amateurs to master the quantitative details of modern astrophysics and the computational aspects of their research projects.

    • Integrates analytical and conceptual methods, emphasizing the strengths and weaknesses of both approaches for research in astrophysics
    • Features more than 110 working Mathematica® notebooks available online, including an instructional guide and appendices on statistical thermodynamics
    • Many 2-D graphs appearing in the text are provided as 3-D rotatable diagrams in Mathematica®, helping students to visualize and understand the material differently
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    Product details

    • Date Published: June 2013
    • format: Hardback
    • isbn: 9781107010741
    • length: 384 pages
    • dimensions: 254 x 178 x 22 mm
    • weight: 0.88kg
    • contains: 98 b/w illus. 12 tables 104 exercises
    • availability: Available
  • Table of Contents

    Preface
    1. Introduction
    2. Stellar atmospheres
    3. Stellar interiors
    4. Extreme classical stars
    5. General relativity and applications
    6. Binaries and clusters
    7. Astrophysical plasmas
    8. Galaxies
    9. Cosmic structures
    References
    Index.

  • Resources for

    Astrophysics through Computation

    Brian Koberlein, David Meisel

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  • Authors

    Brian Koberlein, Rochester Institute of Technology, New York
    Brian Koberlein is Senior Lecturer in Physics and Astronomy at the Rochester Institute of Technology.

    David Meisel, State University of New York, Geneseo
    David Meisel is Distinguished Professor of Physics and Astronomy at the State University of New York, Geneseo.

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