14 MeV NEUTRON IRRADIATION EXPERIMENTS - GAMMA SPECTROSCOPY ANALYSIS AND VALIDATION AUTOMATION
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 f...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2021-01-01
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| Series: | EPJ Web of Conferences |
| Subjects: | |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2021/01/epjconf_physor2020_09010.pdf |
| _version_ | 1818575044744314880 |
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| author | Stainer Thomas Gilbert Mark R Packer Lee W Lilley Steven Gopakumar Vignesh Wilson Chris |
| author_facet | Stainer Thomas Gilbert Mark R Packer Lee W Lilley Steven Gopakumar Vignesh Wilson Chris |
| author_sort | Stainer Thomas |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-15T00:35:00Z |
| format | Article |
| id | doaj.art-5ae55acd269c4a6c8e3a7e0af014aa98 |
| institution | Directory Open Access Journal |
| issn | 2100-014X |
| language | English |
| last_indexed | 2024-12-15T00:35:00Z |
| publishDate | 2021-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Web of Conferences |
| spelling | doaj.art-5ae55acd269c4a6c8e3a7e0af014aa982022-12-21T22:41:49ZengEDP SciencesEPJ Web of Conferences2100-014X2021-01-012470901010.1051/epjconf/202124709010epjconf_physor2020_0901014 MeV NEUTRON IRRADIATION EXPERIMENTS - GAMMA SPECTROSCOPY ANALYSIS AND VALIDATION AUTOMATIONStainer Thomas0Gilbert Mark R1Packer Lee W2Lilley Steven3Gopakumar Vignesh4Wilson Chris5UK Atomic Energy Authority Culham Science CentreUK Atomic Energy Authority Culham Science CentreUK Atomic Energy Authority Culham Science CentreISIS Neutron and Muon Source, Science and Technology Facilities Council, Rutherford Appleton LaboratoryUK Atomic Energy Authority Culham Science CentreUK Atomic Energy Authority Culham Science CentreAn 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.https://www.epj-conferences.org/articles/epjconf/pdf/2021/01/epjconf_physor2020_09010.pdfaspfispact-iineural network |
| spellingShingle | Stainer Thomas Gilbert Mark R Packer Lee W Lilley Steven Gopakumar Vignesh Wilson Chris 14 MeV NEUTRON IRRADIATION EXPERIMENTS - GAMMA SPECTROSCOPY ANALYSIS AND VALIDATION AUTOMATION EPJ Web of Conferences asp fispact-ii neural network |
| title | 14 MeV NEUTRON IRRADIATION EXPERIMENTS - GAMMA SPECTROSCOPY ANALYSIS AND VALIDATION AUTOMATION |
| title_full | 14 MeV NEUTRON IRRADIATION EXPERIMENTS - GAMMA SPECTROSCOPY ANALYSIS AND VALIDATION AUTOMATION |
| title_fullStr | 14 MeV NEUTRON IRRADIATION EXPERIMENTS - GAMMA SPECTROSCOPY ANALYSIS AND VALIDATION AUTOMATION |
| title_full_unstemmed | 14 MeV NEUTRON IRRADIATION EXPERIMENTS - GAMMA SPECTROSCOPY ANALYSIS AND VALIDATION AUTOMATION |
| title_short | 14 MeV NEUTRON IRRADIATION EXPERIMENTS - GAMMA SPECTROSCOPY ANALYSIS AND VALIDATION AUTOMATION |
| title_sort | 14 mev neutron irradiation experiments gamma spectroscopy analysis and validation automation |
| topic | asp fispact-ii neural network |
| url | https://www.epj-conferences.org/articles/epjconf/pdf/2021/01/epjconf_physor2020_09010.pdf |
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