Y-Spect: A Multi-Method Gamma Spectrometry Analysis Program

Yazid, Putranto Ilham

doi:10.17146/aij.2013.222

Cited by 2 publications

(3 citation statements)

References 8 publications

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“…They can also be resolved from some types of non-linear background using this condition since, in some cases, the second difference will be much larger in the presence of a peak than for curved background features. Here, through empirical analysis and refinements, a value of f = 3.5 was chosen to detect peaks for 'static' (pre-recorded/post-processed) spectra read into the software [5]. For 'dynamic' (online) spectra, fluctuations as a result of the source-detector environment may necessitate a smaller confidence factor.…”

Section: Peak Detectionmentioning

confidence: 99%

“…There exists a range of methods currently available that have been successfully implemented [5] for photopeak searches within gamma-ray spectra. These include: (i) Savitzky-Golay's method [6], which utilises a moving average in order to smooth the data and reduce small scale fluctuations and performs a least squares fitting procedure and (ii) Sterlinski's method [7], which makes use of peak areas and their errors in order to determine the presence of peaks that do not result from high background levels.…”

Section: Introductionmentioning

confidence: 99%

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An Open-Source Iterative Python Module for the Automated Identification of Photopeaks in Photon Spectra

et al. 2022

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The UK, and other countries worldwide, have benefited from nuclear energy to provide a low-carbon power source to fuel their increasing populations and industrial growth. In support of the extensive end-of-life decommissioning activities ongoing globally, as well as to enable accident clean-up and nuclear security/monitoring provisions; systems are necessary to rapidly and accurately detect and attribute the nature of any nuclear and/or radioactive materials. To facilitate the utilisation of the increasing suite of miniaturised radiation sensor systems for a range of largely robotic (whether aerial, underwater or ground-based) deployment applications, without the issue of being ’tethered’ to a specific vendor or system, an open-source and compact python module has been developed. Within this readily integrable code-base designed for incorporation into wider software architectures (such as the Robotic Operating System, or ROS), gamma-ray spectroscopy data are recorded in real-time and processed with a peak identification procedure once sufficient data has been recorded. Iterative peak-fitting is applied to determine the isotopic compositions of the incident radiation. The stand-alone application comprises two connected components: a small detector-specific module (or wrapper) that translates a detector’s serial output into the desired format, ahead of the main analysis function. Second, a photopeak identification is performed through an algorithm which uses the second derivative of the spectrum. The peaks identified are subsequently labelled by the program, utilizing the properties of all the mathematically detected/derived peaks, and finally output in a user-defined format for subsequent usage.

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Section: Peak Detectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Open-Source Iterative Python Module for the Automated Identification of Photopeaks in Photon Spectra

et al. 2022

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“…Traditionally, peak searching algorithms perform moving averages over sliding windows, with additional techniques taking into account first and second derivatives [15] [16] [17]. In our approach, algorithms existing in open source tools and packages, such as ROOT [18], were assessed and combined with these traditional methods.…”

Section: Peak Identificationmentioning

confidence: 99%

14 MeV NEUTRON IRRADIATION EXPERIMENTS - GAMMA SPECTROSCOPY ANALYSIS AND VALIDATION AUTOMATION

et al. 2021

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An important area of research required for fusion reactor design is the study of materials under high energy neutron irradiation. Deuterium-Tritium (D-T) reactions release 14.1 MeV neutrons and material studies of such high energy neutrons focusing on transmutation and activation are paramount for fusion tokamak devices such as ITER and DEMO. In order to understand neutron damage and transmutation-induced radioactivity in fusion regime energies, a series of experimental campaigns were performed at the ASP facility based at Aldermaston in the UK, which uses a deuteron accelerator to bombard a tritiumloaded target and generate 14 MeV-neutron emission rates of up to 2.5 × 1011 s−1. In this work, a holistic treatment of the 11,000 gamma spectra (time series data) collected over five experimental campaigns is applied to identify radioisotopes and validate nuclear data and the inventory code, FISPACT-II. Whilst previous analysis has examined single spectra and foil irradiation’s using traditional, human-driven methods, this work applies novel methods using Artificial Neural Networks (ANN) and classification algorithms to allow a fully automated approach. Using such methods we show good broad agreement with FISPACT-II inventory simulations, and an overview of results are given as C/E values.

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Y-Spect: A Multi-Method Gamma Spectrometry Analysis Program

Cited by 2 publications

References 8 publications

An Open-Source Iterative Python Module for the Automated Identification of Photopeaks in Photon Spectra

An Open-Source Iterative Python Module for the Automated Identification of Photopeaks in Photon Spectra

14 MeV NEUTRON IRRADIATION EXPERIMENTS - GAMMA SPECTROSCOPY ANALYSIS AND VALIDATION AUTOMATION

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