THE ART OF PREDICTING NUCLEAR MASSES
| Autor: | Víctor Velázquez, Joel Mendoza-Temis, Irving O. Morales, Jorge G. Hirsch, J.C. Lopez-Vieyra, J. Barea, S. Pittel, Alejandro Frank, Piet Van Isacker |
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| Přispěvatelé: | Instituto de Ciencias Nucleares [Mexico], Universidad Nacional Autónoma de México = National Autonomous University of Mexico (UNAM), Center for Theoretical Physics, Yale University [New Haven], Bartol Research Institute, University of Delaware [Newark], Grand Accélérateur National d'Ions Lourds (GANIL), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Facultad de Ciencias |
| Rok vydání: | 2008 |
| Předmět: | |
| Zdroj: | International Journal of Modern Physics E International Workshop on Nuclear Structure Physics International Workshop on Nuclear Structure Physics, Jun 2008, Shangai, China. pp.398-411, ⟨10.1142/S0218301308012014⟩ |
| ISSN: | 1793-6608 0218-3013 |
| Popis: | International audience; A review of recent advances in the theoretical analysis of nuclear mass models and their predictive power is presented. After introducing two tests which probe the ability of nuclear mass models to extrapolate, three models are analyzed in detail: the liquid drop model (LDM), the liquid drop model plus empirical shell corrections (LDMM) and the Duflo–Zuker mass formula (DZ). The DZ model is exhibited as the most predictive model. The Garvey–Kelson mass relations are also discussed. It is shown that their fulfillment probes the consistency of the most commonly used mass formulae, and that they can be used in an iterative process to predict nuclear masses in the neighborhood of nuclei with measured masses, offering a simple and reproducible procedure for short range mass predictions. |
| Databáze: | OpenAIRE |
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