SPICE PSF纠正：总体框架和能力验证
SPICE PSF Correction: General Framework and Capability Demonstration
摘要：
我们提出了一种新的方法来消除PSF伪影，提高多维数据源，包括成像仪和光谱仪的分辨率。这种方法不是基于解卷积，而是基于稀疏矩阵求解器。这使得它可以应用于空间变化的PSF，也可以将来自具有完全不同的空间，光谱或热响应函数的仪器的观测结果（例如，SDO/AIA和RHESSI）。它是为了纠正太阳轨道器SPICE中的PSF伪影而开发的，因此该方法的动机、演示和结果都围绕着该应用。然而，它也可以被用作更鲁棒的（例如，WRT是2D图像数据的反卷积和类似问题的替代方案，并且与更一般的线性反演问题有关。
英文摘要：
We present a new method of removing PSF artifacts and improving the resolution of multidimensional data sources including imagers and spectrographs. Rather than deconvolution, which is translationally invariant, this method is based on sparse matrix solvers. This allows it to be applied to spatially varying PSFs and also to combining observations from instruments with radically different spatial, spectral, or thermal response functions (e.g., SDO/AIA and RHESSI). It was developed to correct PSF artifacts in Solar Orbiter SPICE, so the motivation, presentation of the method, and the results revolve around that application. However, it can also be used as a more robust (e.g., WRT a varying PSFs) alternative to deconvolution of 2D image data and similar problems, and is relevant to more general linear inversion problems.
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