Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    UID:
    almahu_9948233846202882
    Format: 1 online resource (xiii, 466 pages) : , digital, PDF file(s).
    ISBN: 9781139152150 (ebook)
    Content: Describing the processes in stars which produce the chemical elements for planets and life, this book shows how similar processes may be reproduced in laboratories using exotic beams, and how these results can be analyzed. Beginning with one-channel scattering theory, the book builds up to multi-channel reactions. Emphasis is placed on using transfer and breakup reactions to probe structure and predict capture processes, as well as R-matrix methods for modeling compound nucleus dynamics described by Hauser-Feshbach methods. Practical applications are prominent in this book, confronting theory predictions with data throughout. The associated reaction program Fresco is described, allowing readers to apply the methods to practical cases. Each chapter ends with exercises so readers can test their understanding of the materials covered. Supplementary materials at www.cambridge.org/9780521856355 include the Fresco program, input and output files for the examples given in the book, and hints and graphs related to the exercises.
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , Nuclei in the cosmos -- Reactions of nuclei -- Scattering theory -- Reaction mechanisms -- Connecting structure with reactions -- Solving the equations -- Approximate solutions -- Breakup -- Three-body nuclei -- R-matrix phenomenology -- Compound-nucleus averaging -- Stellar reaction rates and networks -- Connection to experiments -- Spectroscopy -- Fitting data.
    Additional Edition: Print version: ISBN 9780521856355
    Language: English
    Subjects: Physics
    RVK:
    RVK:
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages