Using the Δ3 statistic to test for missed levels in mixed sequence neutron resonance data

Declan Mulhall
Phys. Rev. C 80, 034612 – Published 21 September 2009; Erratum Phys. Rev. C 82, 029904 (2010)

Abstract

The Δ3(L) statistic is studied as a tool to detect missing levels in the neutron resonance data where two sequences are present. These systems are problematic because there is no level repulsion, and the resonances can be too close to resolve. Δ3(L) is a measure of the fluctuations in the number of levels in an interval of length L on the energy axis. The method used is tested on ensembles of mixed Gaussian orthogonal ensemble spectra, with a known 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-wave neutrons on odd-A isotopes, or p-wave neutrons on even-A isotopes. The method compares favorably with a maximum likelihood method applied to the level spacing distribution. Nuclear data ensembles were made from 20 isotopes in total, and their Δ3(L) statistics are discussed in the context of random matrix theory.

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  • Received 27 June 2009
  • Publisher error corrected 12 August 2010

DOI:https://doi.org/10.1103/PhysRevC.80.034612

©2009 American Physical Society

Corrections

12 August 2010

Erratum

Authors & Affiliations

Declan Mulhall*

  • Physics and Electrical Engineering Department, University of Scranton, Scranton, Pennsylvania 18510-4642, USA

  • *mulhalld2@scranton.edu

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Issue

Vol. 80, Iss. 3 — September 2009

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