Introduction to XAFS

A Practical Guide to X-ray Absorption Fine Structure Spectroscopy

Nonfiction, Science & Nature, Science, Physics, General Physics, Technology
Cover of the book Introduction to XAFS by Grant Bunker, Cambridge University Press
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Author: Grant Bunker ISBN: 9781139636681
Publisher: Cambridge University Press Publication: January 28, 2010
Imprint: Cambridge University Press Language: English
Author: Grant Bunker
ISBN: 9781139636681
Publisher: Cambridge University Press
Publication: January 28, 2010
Imprint: Cambridge University Press
Language: English

X-ray absorption fine structure spectroscopy (XAFS) is a powerful and versatile technique for studying structures of materials in chemistry, physics, biology and other fields. This textbook is a comprehensive, practical guide to carrying out and interpreting XAFS experiments. Assuming only undergraduate-level physics and mathematics, the textbook is ideally suited for graduate students in physics and chemistry starting XAFS-based research. It contains concise executable example programs in Mathematica 7. Supplementary material available at www.cambridge.org/9780521767750 includes Mathematica code from the book, related Mathematica programs, and worked data analysis examples. The textbook addresses experiment, theory, and data analysis, but is not tied to specific data analysis programs or philosophies. This makes it accessible to a broad audience in the sciences, and a useful guide for researchers entering the subject.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

X-ray absorption fine structure spectroscopy (XAFS) is a powerful and versatile technique for studying structures of materials in chemistry, physics, biology and other fields. This textbook is a comprehensive, practical guide to carrying out and interpreting XAFS experiments. Assuming only undergraduate-level physics and mathematics, the textbook is ideally suited for graduate students in physics and chemistry starting XAFS-based research. It contains concise executable example programs in Mathematica 7. Supplementary material available at www.cambridge.org/9780521767750 includes Mathematica code from the book, related Mathematica programs, and worked data analysis examples. The textbook addresses experiment, theory, and data analysis, but is not tied to specific data analysis programs or philosophies. This makes it accessible to a broad audience in the sciences, and a useful guide for researchers entering the subject.

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