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The $\Delta_3(L)$ statistic is studied as a tool to detect missing levels inthe neutron resonance data where 2 sequences are present. These systems areproblematic because there is no level repulsion, and the resonances can be tooclose to resolve. $\Delta_3(L)$ is a measure of the fluctuations in the numberof levels in an interval of length $L$ on the energy axis. The method used istested on ensembles of mixed Gaussian Orthogonal Ensemble (GOE) spectra, with aknown fraction of levels ($x%$) randomly depleted, and can accurately return$x$. The accuracy of the method as a function of spectrum size is established.The method is used on neutron resonance data for 11 isotopes with either s-waveneutrons on odd-A, or p-wave neutrons on even-A. The method compares favorablywith a maximum likelihood method applied to the level spacing distribution.Nuclear Data Ensembles were made from 20 isotopes in total, and their$\Delta_3(L)$ statistic are discussed in the context of Random Matrix Theory.

Using the $\Delta_3$ statistic to test for missed levels in mixed sequence neutron resonance data