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[en] Highlights: • A relative decision threshold is proposed as an alternative to the decision threshold. • The relative decision threshold is strictly related to the basic definition of the decision threshold. • The relative decision threshold can be estimated using only the value of the net signal. • The relative uncertainty of the net signal should be compared with the relative decision threshold. • Such test is especially applicable for the results reported by software programs. - Abstract: This work proposes a simple way to assess whether a physical effect due to the sample is present, via the relative uncertainty of the measured net signal. A possibility for evaluation of the respective relative limit for any particular (already measured) positive net signal is shown. This relative limit (‘relative decision threshold’) is strictly related to the basic definition of the decision threshold. The full agreement between the conclusions via the decision threshold and via the relative decision threshold, is experimentally demonstrated.
[en] The purpose of this paper is to provide a brief introduction of Software Dependability and a summary of lessons learned. The components of Software Dependability vary among standards, however there is agreement among the standards that reliability, availability and maintainability are some the main components of dependability. Safety is also a main component is safety systems. Although reliability and safety are similar there is an additional difference, safety can withstand some level of fault tolerance. For the purposes of this discussion Software Dependability includes reliability, availability, maintainability and safety. Software Dependability: Trustworthiness of a computer system such that reliance can be justifiably placed on the service it delivers. Reliability, availability, and maintainability are aspects of dependability. Reliability: The ability of a system or component to perform its required functions under stated conditions for a specified period of time. Availability: The degree to which a system or component is operational and accessible when required for use. Often expressed as a probability. Maintainability: Speed and ease with which a program can be corrected or changed. Safety: a measure of the length of time the software system can be expected to run before failing in such a way as to cause a system hazard. (author)
[en] Nuclear Detection Figure of Merit (NDFOM) is a DNDO-funded project at LANL to develop a software framework that allows a user to evaluate a radiation detection scenario of interest, quickly obtaining results on detector performance. It is intended as a “first step” in detector performance assessment, and meant to be easily employed by subject matter experts (SMEs) and non-SMEs alike. The generic scenario consists of a potential source moving past a detector at a relative velocity and with a distance of closest approach. Such a scenario is capable of describing, e.g., vehicles driving through portal monitors, border patrol scanning suspected illicit materials with a handheld instrument, and first responders with backpackor pager-based detectors (see Fig. 1). The backend library is prepopulated by the NDFOM developers to include sources and detectors of interest to DNDO and its community.
[en] Three sets of standard γ-ray spectra have been produced for use in assessing the performance of spectral analysis software. The origin of and rationale behind the spectra are described. Nine representative analysis systems have been tested both in terms of component performance and in terms of overall performance and the problems encountered in the analysis are discussed. (author)
[en] Data acquisition (DAQ) plays a key role in most, if not all, experimental sciences. However, developing DAQ software is difficult and time-consuming. Polaris is a general-purpose, modular, open-source framework written in C++ that can meet a wide range of DAQ requirements, from laboratory measurements to mid-scale nuclear and particle physics experiments. This is achieved by decoupling application-specific requirements from common features of DAQ software. This article focuses on the design philosophy and features of Polaris and describes real-world applications of the Polaris framework.
[en] The integration of two Python toolboxes used for processing tomographic data, TomoPy and the ASTRA toolbox, is presented. The processing of tomographic synchrotron data requires advanced and efficient software to be able to produce accurate results in reasonable time. In this paper, the integration of two software toolboxes, TomoPy and the ASTRA toolbox, which, together, provide a powerful framework for processing tomographic data, is presented. The integration combines the advantages of both toolboxes, such as the user-friendliness and CPU-efficient methods of TomoPy and the flexibility and optimized GPU-based reconstruction methods of the ASTRA toolbox. It is shown that both toolboxes can be easily installed and used together, requiring only minor changes to existing TomoPy scripts. Furthermore, it is shown that the efficient GPU-based reconstruction methods of the ASTRA toolbox can significantly decrease the time needed to reconstruct large datasets, and that advanced reconstruction methods can improve reconstruction quality compared with TomoPy’s standard reconstruction method.