Development and simulation of multi-diagnostic Bayesian analysis for 2D inference of divertor plasma characteristics

Development and simulation of multi-diagnostic Bayesian analysis for 2D inference of divertor plasma characteristics
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用于偏滤器等离子体特性二维推断的多重诊断贝叶斯分析的开发和模拟

DOI:
10.1088/1361-6587/ab759b
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发表时间:
2020
影响因子:
2.2
通讯作者:
Bowman C
Bowman C
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
Bowman C

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我们提出的贝叶斯多诊断推理系统的设计,实施和测试的结果,它结合了各种偏滤器的诊断,以推断偏滤器中的电子温度T e,密度n e和氘中性密度n 0的2D字段。该系统进行了测试,使用综合诊断测量来自SOLPS-ITER流体代码预测的MAST-U超级X偏滤器,其中包括适当的附加噪声。两个SOLPS-ITER模拟在不同的状态下的分离,采取从扫描的氮气播种率,被用作测试用例。在这两个测试情况下,在推断的电子温度和密度估计的中位绝对分数误差分别为10.3%和10.1%。推断领域和测试案例之间的差异很好地解释了解决方案的不确定性估计来自后验抽样。这项工作代表了朝着直接从实验数据获得偏滤器等离子体状态的定量二维描述的更大目标迈出的一步,这可用于更好地理解偏滤器物理现象。
We present results of the design, implementation and testing of a Bayesian multi-diagnostic inference system which combines various divertor diagnostics to infer the 2D fields of electron temperature T e, density n e and deuterium neutral density n 0 in the divertor. The system was tested using synthetic diagnostic measurements derived from SOLPS-ITER fluid code predictions of the MAST-U Super-X divertor which include appropriate added noise. Two SOLPS-ITER simulations in different states of detachment, taken from a scan of the nitrogen seeding rate, were used as test-cases. Taken across both test-cases, the median absolute fractional errors in the inferred electron temperature and density estimates were 10.3% and 10.1% respectively. Differences between the inferred fields and the test-cases were well explained by solution uncertainty estimates derived from posterior sampling. This work represents a step toward a larger goal of obtaining a quantitative, 2D description of the divertor plasma state directly from experimental data, which could be used to gain better understanding of divertor physics phenomena.
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