Random matrices and chaos in nuclear physics: Nuclear reactions
- 1. Max-Planck-Institut fuer Kernphysik, D-69029 Heidelberg (Germany)
- 2. Institut fuer Kernphysik, Technische Universitaet Darmstadt, D-64289 Darmstadt, Germany and ECT, Villa Tambosi, I-38123 Villazzano, Trento (Italy)
- 3. North Carolina State University, Raleigh, North Carolina 27695 (United States) and Triangle Universities Nuclear Laboratory, Durham, North Carolina 27706 (United States)
Description
The application of random-matrix theory (RMT) to compound-nucleus (CN) reactions is reviewed. An introduction into the basic concepts of nuclear scattering theory is followed by a survey of phenomenological approaches to CN scattering. The implementation of a random-matrix approach into scattering theory leads to a statistical theory of CN reactions. Since RMT applies generically to chaotic quantum systems, that theory is, at the same time, a generic theory of quantum chaotic scattering. It uses a minimum of input parameters (average S matrix and mean level spacing of the CN). Predictions of the theory are derived with the help of field-theoretical methods adapted from condensed-matter physics and compared with those of phenomenological approaches. Thorough tests of the theory are reviewed, as are applications in nuclear physics, with special attention given to violation of symmetries (isospin and parity) and time-reversal invariance.
Additional details
Identifiers
- DOI
- 10.1103/RevModPhys.82.2845;
- arXiv
- arXiv:1001.2422v1;
Publishing Information
- Journal Title
- Reviews of Modern Physics
- Journal Volume
- 82
- Journal Issue
- 4
- Journal Page Range
- p. 2845-2901
- ISSN
- 0034-6861
- CODEN
- RMPHAT
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 43128855
- Subject category
- S73: NUCLEAR PHYSICS AND RADIATION PHYSICS;
- Descriptors DEI
- CHAOS THEORY; COMPOUND NUCLEI; CYANIDES; NUCLEAR PHYSICS; NUCLEAR REACTIONS; PARITY; RANDOMNESS; S MATRIX; SCATTERING; STATISTICAL MODELS; SYMMETRY; T INVARIANCE
- Descriptors DEC
- INVARIANCE PRINCIPLES; MATHEMATICAL MODELS; MATHEMATICS; MATRICES; PARTICLE PROPERTIES; PHYSICS
Optional Information
- Notes
- (c) 2010 The American Physical Society