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Inference of α-particle density profiles from ITER collective Thomson scattering

机译:从ITER集体Thomson散射推论出α粒子密度分布

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The primary purpose of the collective Thomson scattering (CTS) diagnostic at ITER is to measure the properties of fast-ion populations, in particular those of fusion-born alpha-particles. Based on the present design of the diagnostic, we compute and fit synthetic CTS spectra for the ITER baseline plasma scenario, including the effects of noise, refraction, multiple fast-ion populations, and uncertainties on nuisance parameters. As part of this, we developed a model for CTS that incorporates spatial effects of frequency-dependent refraction. While such effects will distort the measured ITER CTS spectra, we demonstrate that the true alpha-particle densities can nevertheless be recovered to within similar to 10% from noisy synthetic spectra, using existing fitting methods that do not take these spatial effects into account. Under realistic operating conditions, we thus find the predicted performance of the ITER CTS system to be consistent with the ITER measurement requirements of a 20% accuracy on inferred alpha-particle density profiles at 100ms time resolution.
机译:在ITER进行的Thomson集体散射(CTS)诊断的主要目的是测量快速离子种群的性质,特别是融合产生的α粒子的性质。基于诊断的当前设计,我们为ITER基线血浆情景计算并拟合了合成CTS光谱,包括噪声,折射,多个快离子种群以及不确定性对扰动参数的影响。作为其一部分,我们为CTS开发了一个模型,该模型结合了频率依赖性折射的空间效应。尽管这样的影响会使测得的ITER CTS光谱失真,但我们证明,使用现有的不考虑这些空间影响的拟合方法,可以将真实的α粒子密度恢复到噪声合成光谱的10%左右。因此,在现实的操作条件下,我们发现ITER CTS系统的预测性能与ITER测量要求一致,即在100ms时间分辨率下,推断出的α-粒子密度分布图精度达到20%。

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