A software package to be used in nuclear and atomic spectroscopy is presented. Apart from
analyzing γ and X-ray spectra, it offers many additional features such as de-convolution of …

Reliable, automatic isotope identification is crucial for improving the performance of
radioactivity monitoring, especially in security applications. In this article, a robust …

In this work, the scripting capabilities of Genie-2000 were used to develop a software (CAX)
that automatically analyses all spectrum files in either Ortec's CHN or Canberra's MCA or …

The study of structures' orientations in archaeoastronomy often involves the analysis of the
empirical sum of probability densities (SPD) for azimuths and declinations. A first logical step …

This paper reports on the development of a gamma-ray spectroscopic system for the (i)
recording and (ii) processing of spectra. The utilized data read-out unit consists of a PCI …

An algorithm based on moment estimation is presented to determine the initial parameters of
the particle spectrum peak shape function for the iteration fitting procedure. The algorithm …

Abstract Machine learning methods are emerging as leading approaches for automated
high-throughput analysis and discovery in materials science. One specific challenge in this …

The human health and environmental effects following a postulated accidental release of
radioactive material to the environment has been a public and regulatory concern since the …

PREDIS WP4 is focused on the decontamination and disposal of metallic radioactive waste.
Task 4.5 aims minimization of metallic waste and increase of the amounts for recycling or …

Isotope identification is a recurrent problem in spectroscopy with high-purity germanium
detectors. In this work, new strategies are introduced to facilitate this type of analysis. Five …