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Spatial and Temporal Noise in Solar EUV Observations

机译:太阳EUV观测中的时空噪声

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摘要

Solar telescopes will never be able to resolve the smallest events at their intrinsic physical scales. Pixel signals recorded by SOHO/(CDS, EIT, SUMER), STEREO/SECCHI/ EUVI, TRACE, SDO/AIA, and even by the future Solar Orbiter EUI/HRI contain an inherent “spatial noise” since they represent an average of the solar signal present at subpixel scales. In this paper, we aim at investigating this spatial noise, and hopefully at extracting information from subpixel scales. Two paths are explored. We first combine a regularity analysis of a sequence of EIT images with an estimation of the relationship between mean and standard deviation, and we formulate a scenario for the evolution of the local signal-to-noise ratio (SNR) as the pixel size becomes smaller. Second, we use an elementary forward modeling to examine the relationship between nanoflare characteristics (such as area, duration, and intensity) and the global mean and standard deviation. We use theoretical distributions of nanoflare parameters as input to the forward model. A fine-grid image is generated as a random superposition of those pseudo-nanoflares. Coarser resolution images (simulating images acquired by a telescope) are obtained by rebinning and are used to compute the mean and standard deviation to be analyzed. Our results show that the local SNR decays more slowly in regions exhibiting irregularities than in smooth regions.
机译:太阳望远镜将永远无法解决其固有物理尺度上的最小事件。 SOHO /(CDS,EIT,SUMER),STEREO / SECCHI / EUVI,TRACE,SDO / AIA甚至未来的太阳轨道器EUI / HRI记录的像素信号包含固有的“空间噪声”,因为它们代表了噪声的平均值。以亚像素级显示的太阳信号。在本文中,我们旨在研究这种空间噪声,并希望从亚像素尺度中提取信息。探索了两条路径。我们首先将对EIT图像序列的规律性分析与均值和标准差之间的关系的估计结合起来,然后为像素尺寸变小制定局部信噪比(SNR)演变的方案。其次,我们使用基本的正演模型来检查纳米光斑特征(例如面积,持续时间和强度)与全局平均值和标准偏差之间的关系。我们使用纳米耀斑参数的理论分布作为正向模型的输入。细网格图像作为那些伪纳米丝的随机叠加生成。粗分辨率图像(模拟望远镜获取的图像)通过重新合并获得,并用于计算要分析的平均值和标准偏差。我们的结果表明,在显示不规则的区域中,本地SNR的衰减比在平滑区域中的衰减慢。

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