Impact of spectral smoothing on gamma radiation portal alarm probabilities

Gamma detector counts are included in radiation portal monitors (RPM) to screen for illicit nuclear material. Gamma counts are sometimes smoothed to reduce variance in the estimated underlying true mean count rate, which is the “signal” in our context. Smoothing reduces total error variance in the estimated signal if the bias that smoothing introduces is more than offset by the variance reduction. An empirical RPM study for vehicle screening applications is presented for unsmoothed and smoothed gamma counts in low-resolution plastic scintillator detectors and in medium-resolution NaI detectors.

► We evaluate options for smoothing counts from gamma detectors deployed for portal monitoring.
► A new multiplicative bias correction (MBC) is shown to reduce bias in peak and valley regions.
► Performance is measured using mean squared error and detection probabilities for sources.
► Smoothing with the MBC improves detection probabilities and the mean squared error.