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A method is shown to estimate the position of a (single) radiation source fusing the data from a sodium iodide detector and a gyroscope while panning the detector. Based on geometry considerations, the search motion of a detector is modelled as angular panning and waving motions. Correlation of the sensor data stream from the an gyroscopical accelerometer with the count rate event data of the detector...
Scattering and attenuation have significant impact on the spectrum. For submersible nuclide identification devices, it is mandatory to still provide high quality identification results, even if the instrument is in the water. A technique is shown, to treat the effects of water scattering. This is done by combining the so-called dynamic derivative convolution method and a maximum-likelihood approach...
A technique is presented to algorithmically evaluate prompt gamma neutron activation spectra, which were produced through excitation of specific material samples. The excitation is done with a neutron generator that provides a switchable, artificial form of neutron radiation. To evaluate the spectra, a extension to prior peak based analysis methods is proposed that dynamically incorporates the detector...
An analytical response function is presented that is based on a perturbed Pearson-IV model for the peak shape and additional models for the first four moments of the distribution, mean, variance, skewness and kurtosis. The parametrisation of these moment models is acquired by using an evolutionary ensemble algorithm, delivering corresponding energy dependent functions for each of the moments. Using...
A stabilization concept based on a self-learning R-Tree index method is presented and demonstrated with measurements from a 1.5×1.5 cerium bromide detector. The concept uses a cognitive filter, a digital filter for nuclear signals that continuously updates itself to the current temperature by adjusting the filter components. The R-Tree combines the information from this cognitive filter together with...
A digital filter is presented that adapts automatically to the shape of a nuclear signal to stabilise against temperature induced peak shifting. The filter is called cognitive as it extracts the information about the exponential decays and determines the scintillation material intrinsically. The latter is done with a pole deconvolution approach.
A method is described to automatically generate spectrum reference data for radioisotope identification devices respecting a detectors physical individuality. It extracts the peak shape and non-proportionality characteristics of scintillation and CZT detectors. The representation of these quantities is done with evolutionary ensembles, groups of N-dimensional autonomous points, which are propagated...
The shape of the nuclear signal from scintillators contains information about the detection material from which it originated and its current temperature. A digital filter for this type of signals is presented that automatically extracts both of these pieces of information from the shape of the signals and controls the temperature dependency of the resolution by continuous adaption to this shape....
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