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. This book provides an intermediate treatment on the topic of nuclear structure focussing on an independent-particle motion view. It follows Nuclear Data: A Primer, which provided an introduction to nuclear structure. It 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 useful to potential readers, particularly PhD students and advanced undergraduate students.

Uses a data-driven approach to understanding nuclear structure Critically reviews theories in the light of available data Includes extensive video-based exercises Provides a personal view from experts in the field