Item type | Current library | Collection | Shelving location | Call number | Status | Date due | Barcode | Item holds |
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BITS Pilani Hyderabad | 530 | General Stack (For lending) | 539.7 WON-S (Browse shelf(Opens below)) | Available | 40620 |
Browsing BITS Pilani Hyderabad shelves, Shelving location: General Stack (For lending), Collection: 530 Close shelf browser (Hides shelf browser)
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539.7 PRE-M Structure of the nucleus / | 539.7 RUD-O A. Klimov nuclear physics and nuclear reactors / | 539.7 WIL-W Quantum principles and particles / | 539.7 WON-S Introductory Nuclear Physics / | 539.703 REN-R Dictionary of atomic and nuclear physics / | 539.7092 BRO-A Keeper of the nuclear conscience : | 539.70954 PHA-J Atomic state : big science in twentieth-century India / |
What sets Introductory Nuclear Physics apart from other books on the subject is its presentation of nuclear physics as an integral part of modern physics. Placing the discipline within a broad historical and scientific context, it makes important connections to other fields such as elementary particle physics and astrophysics. Now fully revised and updated, this Second Edition explores the changing directions in nuclear physics, emphasizing new developments and current research-from superdeformation to quark-gluon plasma. Author Samuel S.M. Wong preserves those areas that established the First Edition as a standard text in university physics departments, focusing on what is exciting about the discipline and providing a concise, thorough, and accessible treatment of the fundamental aspects of nuclear properties. In this new edition, Professor Wong: Includes a chapter on heavy-ion reactions-from high-spin states to quark-gluon plasma Adds a new chapter on nuclear astrophysics Relates observed nuclear properties to the underlying nuclear interaction and the symmetry principles governing subatomic particles Regroups material and appendices to make the text easier to use Lists Internet links to essential databases and research projects Features end-of-chapter exercises using real-world data.
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