Published October 2010 | Version v1
Journal article

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

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