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- Sahlberg, Arne
(author)
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Multi-sightline neutron emission spectroscopy of D and T fusion plasmas at JET
- 2021
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Doctoral thesis (other academic/artistic)abstract
- An analysis of the neutron emission from a fusion plasma can be used to determine plasma properties and diagnose fusion performance. In this thesis, several analysis methods for neutron spectroscopy are presented and applied to data from the experimental fusion device JET. JET has numerous instruments for neutron measurements installed, and data from several of them are used in this thesis.The work presented here describes how various plasma parameters affect the neutron emission and how this information can be used to determine properties of the fusion plasma. Forward fitting of models parameterized in terms of the relevant plasma properties are a central part of most of the analysis methods and are used to determine key features of supra-thermal (“fast”) ion distributions for prediction of plasma performance in deuterium-tritium (d-t) experiments, and to determine the branching ratio for the formation of a short-lived 5He resonance in t+t reactions. The thesis also includes work concerning uncertainty quantification of the modeling of the neutron emission rate and the calculation of pile-up distortion of light-yield spectra from liquid scintillator detectors.A major contribution of this thesis is the novel methods for measuring properties of a fast-ion distribution using neutron spectroscopy with multiple sightlines. The combination of data from instruments viewing different parts of the plasma and/or with different viewing angles permits us to study fast-ion behavior in a more consistent and detailed fashion than if we analyze each measurement separately. Another interesting result is the first-ever observation of the neutron spectrum from t+t reactions in a magnetically confined fusion plasma, from which we can learn important things about the t+t reaction in reactor relevant conditions.
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- 2018
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In: Nuclear Fusion. - : IOP Publishing. - 1741-4326 .- 0029-5515. ; 58:1
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Research review (peer-reviewed)
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- Bombarda, F., et al.
(author)
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Runaway electron beam control
- 2019
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In: Plasma Physics and Controlled Fusion. - : IOP Publishing. - 1361-6587 .- 0741-3335. ; 61:1
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Journal article (peer-reviewed)
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| 8. |
- Campbell, PJ, et al.
(author)
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Pan-cancer analysis of whole genomes
- 2020
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In: Nature. - : Springer Science and Business Media LLC. - 1476-4687 .- 0028-0836. ; 578:7793, s. 82-
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Journal article (peer-reviewed)abstract
- Cancer is driven by genetic change, and the advent of massively parallel sequencing has enabled systematic documentation of this variation at the whole-genome scale1–3. Here we report the integrative analysis of 2,658 whole-cancer genomes and their matching normal tissues across 38 tumour types from the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA). We describe the generation of the PCAWG resource, facilitated by international data sharing using compute clouds. On average, cancer genomes contained 4–5 driver mutations when combining coding and non-coding genomic elements; however, in around 5% of cases no drivers were identified, suggesting that cancer driver discovery is not yet complete. Chromothripsis, in which many clustered structural variants arise in a single catastrophic event, is frequently an early event in tumour evolution; in acral melanoma, for example, these events precede most somatic point mutations and affect several cancer-associated genes simultaneously. Cancers with abnormal telomere maintenance often originate from tissues with low replicative activity and show several mechanisms of preventing telomere attrition to critical levels. Common and rare germline variants affect patterns of somatic mutation, including point mutations, structural variants and somatic retrotransposition. A collection of papers from the PCAWG Consortium describes non-coding mutations that drive cancer beyond those in the TERT promoter4; identifies new signatures of mutational processes that cause base substitutions, small insertions and deletions and structural variation5,6; analyses timings and patterns of tumour evolution7; describes the diverse transcriptional consequences of somatic mutation on splicing, expression levels, fusion genes and promoter activity8,9; and evaluates a range of more-specialized features of cancer genomes8,10–18.
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