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arXiv 1509.07546astro-ph.SR
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太阳活动区差分辐射测量码与多热能基准测试

Benchmark Test of Differential Emission Measure Codes and Multi-Thermal Energies in Solar Active Regions

M. J. Aschwanden, P. Boerner, A. Caspi, J. M. McTiernan, D. Ryan, H. P. Warren

摘要:

通过模拟模拟合成数据,比较了11种差分辐射测量(DEM)正演和反演方法对活动区和太阳耀斑性质的约束能力,这些方法分别使用SDO/AIA、SDO/EVE、RHESSI和GOES/XRS仪器响应函数。这些程序包括单高斯DEM、双高斯DEM、固定高斯DEM、线性样条DEM、空间合成DEM、Monte-Carlo马尔可夫链DEM、正则化DEM反演、Hinode/XRT方法、多项式样条DEM、EVE+GOES和EVE+RHESSI方法。平均所有11种DEM方法的结果,我们发现以下物理参数的反演精度:EM加权温度$T_w^{fit}/T_w^{sim}=0.9\pm0.1$,峰值发射测量$EM_p^{fit}/EM_p^{sim}=0.6\pm0.2$,总发射测量$EM_t^{fit}/EM_t^{sim}=0.8\pm0.3$,和多热能$E_{th}^{fit}/EM_{th}^{sim}=1.2\pm0.4$。我们发现,AIA空间合成,EVE+GOES,和EVE+RHESSI方法产生最准确的结果。

英文摘要:

We compare the ability of 11 Differential Emission Measure (DEM) forward-fitting and inversion methods to constrain the properties of active regions and solar flares by simulating synthetic data using the instrumental response functions of SDO/AIA, SDO/EVE, RHESSI, and GOES/XRS. The codes include the single-Gaussian DEM, a bi-Gaussian DEM, a fixed-Gaussian DEM, a linear spline DEM, the spatial synthesis DEM, the Monte-Carlo Markov chain DEM, the regularized DEM inversion, the Hinode/XRT method, a polynomial spline DEM, an EVE+GOES, and an EVE+RHESSI method. Averaging the results from all 11 DEM methods, we find the following accuracies in the inversion of physical parameters: the EM-weighted temperature $T_w^{fit}/T_w^{sim}=0.9\pm0.1$, the peak emission measure $EM_p^{fit}/EM_p^{sim}=0.6\pm0.2$, the total emission measure $EM_t^{fit}/EM_t^{sim}=0.8\pm0.3$, and the multi-thermal energies $E_{th}^{fit}/EM_{th}^{sim}=1.2\pm0.4$. We find that the AIA spatial synthesis, the EVE+GOES, and the EVE+RHESSI method yield the most accurate results.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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