Heuristic model of solar X-ray spectrum according to satellite data for geophysical applications

Юлия Корсунская, Yulia Korsunskaja
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引用次数: 9

Abstract

Model and computational algorithm for recovering the X-ray component of the solar spectrum based on GOES XL (0.1–0.8 nm), XS (0.05–0.4 nm or 0.05–0.3 nm) and SDO QD (0.1–7 nm) channels data are presented. The model based the Mewe approximation of emission from optically thin plasmas that presents a temperature-like spectrum. The possibility to present the result spectrum as a superposition of Mewe spectrums placed in the solar absorbing atmosphere at one optical depth for its temperature parameter energy is suggested in this paper. So the model is a variation of the multi-temperature approximation. Spectrum parameters are determined on the basis of support functions, approximation expressions for which are given in appendix.
基于卫星数据的地球物理应用太阳x射线光谱启发式模型
提出了基于GOES XL (0.1 ~ 0.8 nm)、XS (0.05 ~ 0.4 nm或0.05 ~ 0.3 nm)和SDO QD (0.1 ~ 7 nm)通道数据恢复太阳光谱x射线分量的模型和计算算法。该模型基于光学薄等离子体发射的Mewe近似,呈现出类似温度的光谱。本文提出了将结果光谱表示为放置在一个光深的太阳吸收大气中的Mewe光谱的叠加的可能性,因为它的温度参数能量。所以这个模型是多温度近似的一个变化。谱参数是根据支持函数确定的,其近似表达式见附录。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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