Investigation of level spacing distribution of nuclear energy levels by maximum likelihood estimation method

Abstract

The nearest neighbor spacing distribution (NNSD) is one of common methods in statistical analysis of nuclear energy levels. In this paper, we have proposed Maximum Likelihood Estimation (MLE) method to evaluate parameter of (NNSD)'s which explain chaotic and regular behavior of nuclear systems .Also with Cramer-Rao Lower Bound (CRLB) will obtain decreasing of uncertainty for our results in compare to previous methods. We calculate these parameters for different mass groups and nuclei with special values of deformation parameter, and also for nuclei with IBM's three dynamical symmetries and transitional regions between these three limits and confirm theoretical predictions even in cases where the small size of data don't allow exact conclusions with previous methods . We obtain better consistent of our results with Poisson and Wigner(GOE) distributions with Kullback-Leibeller divergence.

31 pages, 7 figures

References in corpus (4)

• Level statistics of deformed even-even nuclei
• A maximum likelihood method to correct for missed levels based on the ${\Delta }_3(L)$ statistic
• Using the ${\Delta }_3$ statistic to test for missed levels in mixed sequence neutron resonance data
• Identification of Nuclei Exhibiting the SU(3) Dynamical Symmetry

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• Level spacing of U(5) \leftrightarrow SO(6) transitional region with maximum likelihood estimation method
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