Robust Lifetime Estimation from HPGe Radiation-Sensor Time Series Using Pairwise Ratios and MFV Statistics
Victor V. Golovko

TL;DR
This paper introduces a robust method for estimating decay lifetimes from HPGe detector data using pairwise ratios and MFV statistics, reducing sensitivity to fluctuations and outliers for more reliable long-term measurements.
Contribution
The study presents a novel analysis framework combining pairwise ratios and MFV statistics to improve lifetime estimation robustness in HPGe gamma-ray detector data.
Findings
Achieved a precise lifetime measurement of 4.0959 days with low statistical and systematic uncertainties.
Demonstrated the method's robustness against detector fluctuations and outliers in long-term data.
Validated the approach with a dataset spanning approximately 10 half-lives in a nuclear physics experiment.
Abstract
High-purity germanium (HPGe) gamma-ray detectors are core instruments in nuclear physics and astrophysics experiments, where long-term stability and reliable extraction of decay parameters are essential. However, the standard exponential decay analyses of the detector time-series data are often affected by the strong correlations between the fitted parameters and the sensitivity to detector-related fluctuations and outliers. In this study, we present a robust analysis framework for HPGe detector decay data based on pairwise ratios and the Steiner's most frequent value (MFV) statistic. By forming point-to-point ratios of background-subtracted net counts, the dependence on the absolute detector response is eliminated, removing the amplitude-lifetime correlation inherent to conventional regression. The resulting pairwise lifetime estimates exhibit heavy-tailed behavior, which is…
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Taxonomy
TopicsRadioactive Decay and Measurement Techniques · Nuclear reactor physics and engineering · Radiation Detection and Scintillator Technologies
