Statistical Models for Nuclear Decay
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2?V H3
2πV H3
A01=A.J Cole
advanced nuclear decay modeling techniques
angular
Angular Momentum
Author_A.J Cole
Category=PBT
Category=PHN
Category=PHP
Complex Fragments
compound
Compound Nucleus
Elastic Scattering
energy
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
equilibrium statistical mechanics
Evaporation Cascade
excitation
Excitation Functions
excited
Exit Channel
Fission Barrier
Fusion Cross-section
Gibbs Entropy
Grand Canonical Partition Function
Heat Bath
heavy ion collisions
light
Mass Asymmetry
momentum
Monte Carlo nuclear modeling
multifragmentation processes
Multiplicity Distribution
Neutron Emission
nuclear fission theory
nuclei
Nucleon Nucleon Collision
nucleus
Orbital Angular Momentum
Parent Nucleus
Partial Wave Expansion
Partition Sum
Pre-equilibrium Emission
residual
Residual Nucleus
sequential binary decay
Single Particle Level
Product details
- ISBN 9780750305129
- Weight: 748g
- Dimensions: 156 x 234mm
- Publication Date: 01 Jan 2000
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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Statistical Models for Nuclear Decay: From Evaporation to Vaporization describes statistical models that are applied to the decay of atomic nuclei, emphasizing highly excited nuclei usually produced using heavy ion collisions. The first two chapters present essential introductions to statistical mechanics and nuclear physics, followed by a description of the historical developments, beginning with the application of the Bohr hypothesis by Weisskopf in 1937. This chapter covers fusion, fission, and the Hauser-Festbach theory. The next chapter applies the Hauser-Festbach theory using Monte Carlo methods and presents important experimental results. Subsequent chapters discuss nuclear decay at high excitation energies, including the theories and experimental results for sequential binary division, multifragmentation, and vaporization. The final chapter provides a short summary and discusses possible paths for further research.
