论文标题

过滤后的反射算法应用于太阳旋转断层扫描

The Application of the Filtered Backprojection Algorithm to Solar Rotational Tomography

论文作者

Cho, Kyuhyoun, Chae, Jongchul, Kwon, Ryun-Young, Bong, Su-Chan, Cho, Kyung-Suk

论文摘要

太阳旋转断层扫描(SRT)是重建三维太阳能电晕的物理参数的重要方法。在这里,我们提出了一种将过滤后反射(FBP)算法应用于SRT的方法。 FBP算法通常不适合SRT,因为太阳极端紫外线(EUV)观察值的几个问题,尤其是由于缺少数据引起的问题,因为它隐藏在太阳后面的Corona的背面未观察到。我们开发了一种生成修改的正式图,该方法可以解决阻塞问题。修饰的正式图是通过在大气成像组件(AIA)上在太阳能动力学天文台(SDO)上观察到的两个相对位点的EUV数据来生成的。我们在2019年2月生成了大约一个月的修改后的正式图,并根据静态状态假设重建了三维电晕。为了获得电晕的物理参数,我们采用了DEM反转方法。我们通过将重建的数据与观察到的EUV图像,电子密度模型,电子温度的先前研究和观察到的冠状动脉图像进行比较,通过将重建数据与观察到的EUV图像进行比较,测试了FBP算法的性能。结果表明,FBP算法合理地重建了明亮的区域和冠状孔,并可以重现其物理参数。 FBP算法的主要优点是它易于理解和计算效率。因此,它使我们能够轻松探测太阳电晕的不均匀的冠状电子密度和温度分布。

Solar rotational tomography (SRT) is an important method to reconstruct the physical parameters of the three-dimensional solar corona. Here we propose an approach to apply the filtered backprojection (FBP) algorithm to the SRT. The FBP algorithm is generally not suitable for SRT due to the several issues with solar extreme ultraviolet (EUV) observations, in particular a problem caused by missing data because of the unobserved back side of corona hidden behind the Sun. We developed a method to generate a modified sinogram which resolves the blocking problem. The modified sinogram is generated by combining the EUV data at two opposite sites observed by the Atmospheric Imaging Assembly (AIA) onboard the Solar Dynamics Observatory (SDO). We generated the modified sinogram for about one month in 2019 February and reconstructed the three-dimensional corona under the static state assumption. In order to obtain the physical parameters of the corona, we employed a DEM inversion method. We tested the performance of the FBP algorithm with the modified sinogram by comparing the reconstructed data with the observed EUV image, electron density models, previous studies of electron temperature, and an observed coronagraph image. The results illustrate that the FBP algorithm reasonably reconstructs the bright regions and the coronal holes, and can reproduce their physical parameters. The main advantage of the FBP algorithm is that it is easy to understand and computationally efficient. Thus, it enables us to easily probe the inhomogeneous coronal electron density and temperature distribution of the solar corona.

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