Information theory and statistical nuclear reactions. I. General theory and applications to few-channel problems

Abstract Ensembles of scattering S-matrices have been used in the past to describe the statistical fluctuations exhibited by many nuclear-reaction cross sections as a function of energy. In recent years, there have been attempts to construct these ensembles explicitly in terms of S, by directly proposing a statistical law for S. In the present paper, it is shown that, for an arbitrary number of channels, one can incorporate, in the ensemble of S-matrices, the conditions of flux conservation, time-reversal invariance, causality, ergodicity, and the requirement that the ensemble average 〈S〉 coincide with the optical scattering matrix. Since these conditions do not specify the ensemble uniquely, the ensemble that has maximum information-entropy is dealt with among those that satisfy the above requirements. Some applications to few-channel problems and comparisons to Monte-Carlo calculations are presented.

[1]  P. A. Mello,et al.  Information theory and statistical nuclear reactions II. Many-channel case and Hauser-Feshbach formula☆ , 1985 .

[2]  L. Hua Harmonic analysis of functions of several complex variables in the classical domains , 1963 .

[3]  On the entropy approach to statistical nuclear reactions , 1980 .

[4]  Analyticity and ergodicity in the maximum-entropy approach to statistical nuclear reactions , 1980 .

[5]  F. Dyson Statistical Theory of the Energy Levels of Complex Systems. I , 1962 .

[6]  P. A. Mello,et al.  Comparison between the entropy approach and Monte Carlo calculations for statistical nuclear reactions , 1981 .

[7]  I. S. Gradshteyn,et al.  Table of Integrals, Series, and Products , 1976 .

[8]  R. Levine,et al.  Entropy and chemical change. III. The maximal entropy (subject to constraints) procedure as a dynamical theory , 1977 .

[9]  T. J. Krieger STATISTICAL THEORY OF NUCLEAR CROSS SECTION FLUCTUATIONS. , 1967 .

[10]  Joseph Cerny,et al.  Nuclear spectroscopy and reactions , 1974 .

[11]  A statistical theory of nuclear reactions based on a variational principle , 1979 .

[12]  J. W. Tepel,et al.  Direct reactions and Hauser--Feshbach theory , 1975 .

[13]  C. Porter,et al.  Model for Nuclear Reactions with Neutrons , 1954 .

[14]  H. Weidenmüller,et al.  The statistical theory of nuclear reactions for strongly overlapping resonances as a theory of transport phenomena , 1975 .

[15]  A. Kerman,et al.  Modification of Hauser--Feshbach calculations by direct-reaction channel coupling. , 1973 .

[16]  Condensation of eigenphases and the elastic enhancement of average nuclear cross-sections , 1982 .

[17]  Herman Feshbach,et al.  The Inelastic Scattering of Neutrons , 1952 .

[18]  P. A. Mello,et al.  Ergodic behavior in the statistical theory of nuclear reactions , 1978 .

[19]  P. Moldauer STATISTICAL THEORY OF NUCLEAR COLLISION CROSS SECTIONS , 1964 .

[20]  Z. Vager A time reversal invariant formulation of average compound cross-sections , 1971 .

[21]  F. Wegner Disordered system with n orbitals per site: n= [] limit , 1979 .

[22]  T. Ericson A Theory of Fluctuations in Nuclear Cross Sections , 1963 .

[23]  P. A. Mello,et al.  Random matrix physics: Spectrum and strength fluctuations , 1981 .

[24]  T. Mayer-Kuckuk,et al.  Fluctuations in nuclear reactions. , 1966, Annual review of nuclear science.

[25]  P. A. Mello,et al.  The statistical distribution of theS-matrix in the one-channel case , 1981 .

[26]  P. Moldauer Evaluation of the fluctuation enhancement factor , 1976 .

[27]  L. Schäfer,et al.  Disordered system withn orbitals per site: Lagrange formulation, hyperbolic symmetry, and goldstone modes , 1980 .

[28]  K. Efetov Supersymmetry and theory of disordered metals , 1983 .