A maximum likelihood method to correct for missed levels based on the ${\Delta }_3(L)$ statistic

Abstract

The ${\Delta }_3(L)$ statistic of Random Matrix Theory is defined as the average of a set of random numbers $\{\delta \}$, derived from a spectrum. The distribution $p(\delta )$ of these random numbers is used as the basis of a maximum likelihood method to gauge the fraction $x$ of levels missed in an experimental spectrum. The method is tested on an ensemble of depleted spectra from the gaussian orthogonal ensemble (GOE), and accurately returned the correct fraction of missed levels. Neutron resonance data and acoustic spectra of an aluminum block were analyzed. All results were compared with an analysis based on an established expression for ${\Delta }_3(L)$ for a depleted GOE spectrum. The effects of intruder levels is examined, and seen to be very similar to that of missed levels. Shell model spectra were seen to give the same $p(\delta )$ as the GOE.

23 pages, 13 figures, 1 table

References in corpus (5)

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Cited by in corpus (6)

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• Spectral statistics of rare-earth nuclei: Investigation of shell model configuration effect
• Open quantum systems and Random Matrix Theory
• Spectral fluctuation properties of spherical nuclei
• Accuracy and precision of the estimation of the number of missing levels in chaotic spectra using long-range correlations