Simulating Heavy Ion Beams Numerically using Minimum Entropy Reconstructions
使用最小熵重建数值模拟重离子束
基本信息
- 批准号:316995219
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:德国
- 项目类别:Research Grants
- 财政年份:2016
- 资助国家:德国
- 起止时间:2015-12-31 至 2019-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The aim of this project is to develop a novel tool for the simulation of heavy ion beams as they are decelerated in thick targets. We want to characterize the spatial and energy distributions of all primary particles and secondary fragments in a target. This is relevant because ion beams are used in various fields: atomic physics (e.g. atomic collisions, ion capture), nuclear physics (e.g. the study of the structure of nuclei), electronics (e.g. deposition of elements), material science and chemistry (e.g. analysis of damage on the walls of a tokamak), biology (e.g. the study of the toxicology of cellular tissues by ion analysis). Additionally, several world-class facilities are dedicated to these studies (e.g. FAIR in Germany, GANIL in France). Simulations of heavy ion beams are challenging for two main reasons. First, beams are difficult to capture with a grid-based method. Second, the simulations rely on measurements of the stopping power, and therefore must be regarded as uncertain. We therefore develop a new entropy-based discretization scheme which allows both a sub-grid resolution and at the same time a very detailed reconstruction that can capture beams. In addition, we will use a similar method to characterize the uncertainties in the particle distribution due to uncertain stopping powers. The method is computationally challenging but highly parallelizable, and therefore ideally suited for modern computer architectures.
这个项目的目的是开发一种新的工具来模拟重离子束在厚靶中减速的过程。我们想要描述目标中所有初级粒子和次级碎片的空间和能量分布。这是相关的,因为离子束用于各种领域:原子物理(例如原子碰撞、离子捕获)、核物理(例如研究原子核的结构)、电子学(例如元素沉积)、材料科学和化学(例如分析托卡马克的壁上的损伤)、生物学(例如通过离子分析研究细胞组织的毒理)。此外,几个世界级的设施专门用于这些研究(例如,德国的FIRE,法国的GANIL)。重离子束的模拟具有挑战性,主要原因有两个。首先,基于网格的方法很难捕捉到波束。其次,模拟依赖于停止能力的测量,因此必须被视为不确定。因此,我们开发了一种新的基于熵的离散化方案,它既允许亚网格分辨率,同时也允许非常详细的重建,可以捕获光束。此外,我们将使用类似的方法来表征由于不确定的阻止功率而导致的粒子分布的不确定性。该方法在计算上具有挑战性,但可并行化,因此非常适合于现代计算机体系结构。
项目成果
期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Maximum-principle-satisfying second-order Intrusive Polynomial Moment scheme
满足最大原理的二阶侵入多项式矩格式
- DOI:10.5802/smai-jcm.42
- 发表时间:2019
- 期刊:
- 影响因子:0
- 作者:J. Kusch;G.W. Alldredge;M. Frank
- 通讯作者:M. Frank
Oscillation Mitigation of Hyperbolicity-Preserving Intrusive Uncertainty Quantification Methods for Systems of Conservation Laws
- DOI:10.1016/j.cam.2021.113714
- 发表时间:2020-08
- 期刊:
- 影响因子:0
- 作者:J. Kusch;L. Schlachter
- 通讯作者:J. Kusch;L. Schlachter
Realizability-preserving discretization strategies for hyperbolic and kinetic equations with uncertainty
具有不确定性的双曲和动力学方程的保持可实现性的离散化策略
- DOI:10.5445/ir/1000121168
- 发表时间:2020
- 期刊:
- 影响因子:0
- 作者:J. Kusch
- 通讯作者:J. Kusch
Intrusive acceleration strategies for Uncertainty Quantification for hyperbolic systems of conservation laws
- DOI:10.1016/j.jcp.2020.109698
- 发表时间:2019-12
- 期刊:
- 影响因子:0
- 作者:J. Kusch;J. Wolters;M. Frank
- 通讯作者:J. Kusch;J. Wolters;M. Frank
Filtered stochastic Galerkin methods for hyperbolic equations
- DOI:10.1016/j.jcp.2019.109073
- 发表时间:2018-08
- 期刊:
- 影响因子:0
- 作者:J. Kusch;R. McClarren;M. Frank
- 通讯作者:J. Kusch;R. McClarren;M. Frank
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Professor Dr. Martin Frank其他文献
Professor Dr. Martin Frank的其他文献
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50418050 - 财政年份:2007
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44458670 - 财政年份:2007
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Pliocene to Pleistocene reconstruction of regional versus global ocean oxygenation from eastern Pacific anoxic sediments
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