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Nuclear Data Measurements for Advanced Nuclear Technologies

Nuclear Data Measurements for Advanced Nuclear Technologies
先进核技术的核数据测量
批准号:
EP/W011697/1
负责人:
Tobias Wright
金额:
$108.55万
依托单位:
依托单位国家:
英国
项目类别:
Fellowship
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --

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中文摘要
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英文摘要
The process of nuclear fission has been exploited as a virtually carbon-free energy source for many decades and it is set to play a major role within future global energy supplies. Advanced Nuclear Technologies are being developed which will serve to provide cheaper, safer and more efficient energy from nuclear fission. These advanced technologies will use new forms of nuclear fuel and designs of reactor which bring inherent technical and scientific challenges which must be tackled to ensure success. Specifically, a complete understanding of the physics governing the many processes involved within these technologies must be obtained. This understanding will come from detailed simulations and calculations and underlying these are the input nuclear data. These nuclear data quantify all the associated nuclear reactions that occur and govern the functionality of these systems. These data sets typically arise from detailed experiments which measure individual quantities to appropriate accuracies. This fellowship shall carry out nuclear data measurements of priority for Advanced Nuclear Technologies. Specifically, measurements of neutron induced fission, scattering and capture cross section measurements will be performed using a variety of techniques and experimental facilities.Neutron cross sections describe the interaction probability of a neutron with a specific nuclide as a function of the incoming neutron's energy and are a key nuclear data input for many applications. These complex interactions cannot be predicted and therefore accurate cross sections must be found through experiment. In order to obtain the required data for advanced technologies, new experimental techniques and facilities must be developed and commissioned.Firstly, neutron fission cross sections will be measured using a novel and innovative technique utilising transfer induced fission in inverse kinematics. Using exotic actinide beams at the ISOLDE, CERN facility the probability of fission and thus the cross section will be extracted using a new detection system based around the ISOLDE Solenoidal Spectrometer. This technique has the advantage that the isotope under study is in the form of a radioactive beam rather than a fixed target, allowing the cross sections of very short-lived and rare isotopes to be studied. Secondly, neutron scattering cross sections will be measured at VESUVIO, ISIS where a sophisticated neutron spectroscopy setup already exists however has yet to be exploited for nuclear data measurements of importance for Advanced Nuclear Technologies.Finally, neutron capture cross section measurements will be performed at facilities such as the world-leading neutron time-of-flight facility n_TOF, CERN which boasts the most intense pulsed-neutron source in the world and GELINA, JRC-GEEL where neutron cross section standards are measured.Within these themes, the common goal and output will be the provision of nuclear data to specifically meet the UK's requirements to aid in the development and delivery of cutting-edge and world-leading Advanced Nuclear Technologies.
期刊论文(10)
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会议论文
Results of the 244 Cm, 246 Cm and 248 Cm neutron-induced capture cross sections measurements at EAR1 and EAR2 of the n_TOF facility
n_TOF 设施 EAR1 和 EAR2 的 244 Cm、246 Cm 和 248 Cm 中子诱发俘获截面测量结果
DOI: 10.1051/epjconf/202328401009
发表时间: 2023
期刊: EPJ Web of Conferences
影响因子: --
作者: [Alcayne V]
通讯作者: Alcayne V
New perspectives for neutron capture measurements in the upgraded CERN-n_TOF Facility
升级后的 CERN-n_TOF 设施中子俘获测量的新视角
DOI: 10.1051/epjconf/202328401028
发表时间: 2023
期刊: EPJ Web of Conferences
影响因子: --
作者: [Lerendegui-Marco J]
通讯作者: Lerendegui-Marco J
First high resolution measurement of neutron capture resonances in 176 Yb at the n_TOF CERN facility
在 n_TOF CERN 设施中首次对 176 Yb 中子俘获共振进行高分辨率测量
DOI: 10.1051/epjconf/202328409001
发表时间: 2023
期刊: EPJ Web of Conferences
影响因子: --
作者: [García-Infantes F]
通讯作者: García-Infantes F
DOI: 10.1051/epjconf/202328418001
发表时间: 2023
期刊: EPJ Web of Conferences
影响因子: --
作者: [Dupont E]
通讯作者: Dupont E
10
    Research on Nuclear Data measurements and evaluations for nuclear fission energy.
    • 批准号:
      EP/N00700X/1
    • 项目类别:
      Fellowship
    • 资助金额:
      $31.44万
    • 财政年份:
      2016
    • 负责人:
      Tobias Wright
    • 依托单位:
    国内基金
    海外基金
    Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
    Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
    Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
    • 批准号:
      --
    • 项目类别:
      --
    • 资助金额:
      40万元
    • 批准年份:
      2020
    • 负责人:
      Vikrant Gupta
    • 依托单位:
    基于Linked Open Data的Web服务语义互操作关键技术
    • 批准号:
      61373035
    • 项目类别:
      面上项目
    • 资助金额:
      77.0万元
    • 批准年份:
      2013
    • 负责人:
      冯志勇
    • 依托单位: