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Detection of anomalous radioxenon concentrations: A distribution‐free approach

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  • Michele Scagliarini
  • Rosanna Gualdi
  • Giuseppe Ottaviano
  • Antonietta Rizzo

Abstract

The detection of anomalous atmospheric radioxenon concentrations plays a key role in detecting both underground nuclear explosions and radioactive emissions from nuclear power plants and medical isotope production facilities. For this purpose, the CTBTO's International Data Centre uses a procedure based on descriptive thresholds. In order to supplement this procedure with a statistical inference‐based method, we compared several non‐parametric change‐point control charts for detecting shifts above the natural radioxenon background. The results indicate that the proposed methods can provide valuable tools for the institutions responsible for the verification and classification of anomalous radioxenon concentrations.

Suggested Citation

  • Michele Scagliarini & Rosanna Gualdi & Giuseppe Ottaviano & Antonietta Rizzo, 2023. "Detection of anomalous radioxenon concentrations: A distribution‐free approach," Environmetrics, John Wiley & Sons, Ltd., vol. 34(7), November.
    • Handle: RePEc:wly:envmet:v:34:y:2023:i:7:n:e2804
    DOI: 10.1002/env.2804
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    References listed on IDEAS

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    1. Ross, Gordon J., 2015. "Parametric and Nonparametric Sequential Change Detection in R: The cpm Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 66(i03).
    2. Christian Paroissin & Laura Penalva & Agnès Pétrau & Ghislain Verdier, 2016. "New control chart for monitoring and classification of environmental data," Environmetrics, John Wiley & Sons, Ltd., vol. 27(3), pages 182-193, May.
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