Abstract: A radiation analysis system/method that automatically optimizes the efficiency calibration of a counting system based on benchmark data and variable parameters associated with radiation source/sensor/environment (RSSE) combinations is disclosed. The system/method bifurcates RSSE context (SSEC) model parameters into WELL-KNOWN (fixed) parameters (WNP) and NOT-WELL-KNOWN (variable) parameters (NWP). The NWP have associated lower/upper limit values (LULV) and a shape distribution (LUSD) describing NWP characteristics. SSEC models are evaluated using randomized statistical NWP variations or by using smart routines that perform a focused search within the LULV/LUSD to generate model calibration values (MCV) and calibration uncertainty values (UCV) describing the overall SSEC efficiencies. Sensor measurements using the MCV/UCV generate a measurement value and uncertainty estimation value.

Abstract: A system for combining the spectral data from multiple ionizing radiation detectors of different types and having different photopeak energy resolutions. First, baseline estimation is performed on each spectral histogram separately, discerning peak regions from underlying continuum using respective peak response functions. All spectra are subsequently rebinned to the same energy calibration and the peak spectra are convolved to produce a single convolution spectrum. All peak counts are redistributed locally according to the convolution spectrum in energy regions proportional to respective local energy resolution. The summation of these redistributed peak spectra can then be analyzed as a single spectrum using a common photopeak response and energy calibration. This process can be embodied in software or firmware. A preferred hybrid system might include a combination of lower resolution, higher efficiency detectors and higher resolution, lower efficiency detectors.

Abstract: A system for combining the spectral data from multiple ionizing radiation detectors of different types and having different photopeak energy resolutions. First, baseline estimation is performed on each spectral histogram separately, discerning peak regions from underlying continuum using respective peak response functions. All spectra are subsequently rebinned to the same energy calibration and the peak spectra are convolved to produce a single convolution spectrum. All peak counts are redistributed locally according to the convolution spectrum in energy regions proportional to respective local energy resolution. The summation of these redistributed peak spectra can then be analyzed as a single spectrum using a common photopeak response and energy calibration. This process can be embodied in software or firmware. A preferred hybrid system might include a combination of lower resolution, higher efficiency detectors and higher resolution, lower efficiency detectors.