Statistical Analysis of Proton and Neutron Resonance Data
POSTER
Abstract
Random matrix theory (RMT) is thought to describe statistical properties of neutron and proton resonance data. Very strong evidence for this conclusion comes from a 1982 analysis by Haq \emph{et al.}\footnote{R. U. Haq \emph{et al.}, Phys. Rev. Lett. \textbf{48}, 1086 (1982).} of the Nuclear Data Ensemble (NDE), a collection of resonance levels from 32 different nuclides. Because newer data are available for many of the nuclides in the NDE, an updated data set is appropriate. We have examined current resonance data for the nuclides in the original NDE as well as for other even-even targets. N(E) ``staircase'' plots and comparisons of reduced widths with the Porter-Thomas distribution are utilized as tests of data quality. Of the NDE's original 35 sequences, we have retained 11 sequences with new data and 10 sequences with the original data. We have also included 5 new sequences from nuclides not included in the original NDE. Several different statistical tests have been performed. Thus far, the data have shown good agreement with expected behavior.
Authors
-
D.J. Sissom
Tenn. Tech. Univ.
-
J.F. Shriner Jr.
Tenn. Tech. Univ., Tenn. Tech Univ.
-
G.E. Mitchell
North Carolina State University, North Carolina St. Univ. and TUNL