Nuclear Data

Nuclear data represents measured (or evaluated) probabilities of various physical interactions involving the nuclei of atoms. It is used to understand the nature of such interactions by providing the fundamental input to many models and simulations in nuclear physics and related subjects. Backing up simple nuclear models with real data provides a springboard for a more detailed understanding of the complexities of nuclear structure. This book provides an intermediate level treatment on the topic of nuclear structure focussing on an independent-particle motion view, i.e. individual protons and neutrons as opposed to collective particle motion treated in the preceding volume. It follows the authors earlier work, Nuclear Data: A Primer, which provided an introduction to nuclear structure. The book is divided into four main chapters which outline the necessary theory and critically review it in the light of available data. Structured exercises promote student learning and understanding. This book follows a pathway that is very useful to potential readers, particularly PhD students and advanced undergraduate students.

Key Features:

• Uses a data-driven approach to understanding nuclear structure

• Critically reviews theories it in the light of available data

• Includes extensive video-based exercises

• Provides a personal view from experts in the field