论文标题
香料PSF校正：一般框架和能力演示
SPICE PSF Correction: General Framework and Capability Demonstration
论文作者
论文摘要
我们提出了一种新的方法，用于删除PSF工件并改善包括成像器和光谱仪在内的多维数据源的分辨率。该方法不是翻译不变的反卷积，而是基于稀疏矩阵求解器。这样可以将其应用于空间变化的PSF，并将其结合到具有截然不同的空间，光谱或热响应函数（例如SDO/AIA和RHESSI）的仪器的观测值。它的开发是为了纠正太阳能轨道香料中的PSF伪像，因此该方法的动机，表现以及结果围绕该应用程序旋转。但是，它也可以用作更强大的（例如，WRT变化的PSF）替代2D图像数据和类似问题的替代方案，并且与更通用的线性反转问题有关。
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.
