首页> 外文OA文献 >A method for improving plasma temperature estimates from incoherent scatter analysis during artificial ionospheric modification experiments
【2h】

A method for improving plasma temperature estimates from incoherent scatter analysis during artificial ionospheric modification experiments

机译:一种在人工电离层修改实验中通过非相干散射分析改善等离子体温度估计的方法

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

[1] Spectral features in incoherent scatter data, such as those caused by the purely growing mode (PGM), can often be strongly enhanced during the first few seconds of artificial ionospheric heating experiments, such as those carried out using the high-power European Incoherent Scatter HF heater at Tromsø. These features, often referred to as “overshoot” effects, are indicators of turbulent non-Maxwellian plasma, and the analysis of these spectra using standard incoherent scatter data analysis software leads to a poor estimation of the plasma parameters (particularly electron and ion temperature) during RF heating experiments. In this study, a procedure is developed to derive a more reliable estimate of plasma temperature during periods when the incoherent scatter spectrum is affected by contamination from the PGM. This is achieved by removing the PGM from the measured spectrum and then analyzing the modified spectrum using standard software. The results are compared to those obtained from the analysis of the original, contaminated spectra. It is found that the differences between the results obtained from the corrected and uncorrected spectra are strongly proportional to the magnitude of the PGM feature. We also show that the bulk temperatures during the remainder of the “heater on” period after the overshoot can generally be estimated reliably by the standard analysis software, though with some important exceptions. These results are important since the plasma temperatures play a crucial role in governing thermal conduction processes, and their correct estimation is thus very important to understanding the underlying physical processes which occur during ionospheric heating.
机译:[1]非相干散射数据中的光谱特征(例如由纯增长模式(PGM)引起的光谱特征)通常可以在人工电离层加热实验的最初几秒钟内得到极大增强,例如使用高功率欧洲模式进行的那些Tromsø的不相干散射HF加热器。这些特征(通常称为“过冲”效应)是湍流非麦克斯韦等离子体的指标,并且使用标准的非相干散射数据分析软件对这些光谱进行分析会导致对等离子体参数(尤其是电子和离子温度)的估算不佳。在RF加热实验中。在这项研究中,开发了一种程序,可以在非相干散射光谱受到PGM污染的影响期间,对血浆温度进行更可靠的估计。这是通过从测量光谱中去除PGM,然后使用标准软件分析修改后的光谱来实现的。将结果与通过分析原始污染光谱获得的结果进行比较。发现从校正的光谱和未校正的光谱获得的结果之间的差异与PGM特征的大小成正比。我们还显示,过冲后,在“加热器开启”期间的剩余时间内,总体温度通常可以通过标准分析软件可靠地估算,但有一些重要的例外情况。这些结果非常重要,因为等离子温度在控制热传导过程中起着至关重要的作用,因此正确的估算对于了解电离层加热过程中发生的潜在物理过程非常重要。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号