优先级 85 · 太阳耀斑 · 硬X射线爆发 · X射线成像方法
Count-based spectral component imaging (CCI) of solar flares in X-rays
太阳耀斑X射线基于计数的谱成分成像(CCI)
✉ Alessia Guidetti (MIDA, Dipartimento di Matematica, Università di Genova, via Dodecaneso 35, 16146 Genova, Italy), Muriel Zoë Stiefel (University of Applied Sciences and Arts Northwestern Switzerland, Bahnhofstrasse 6, 5210 Windisch, Switzerland; ETH Zürich, Rämistrasse 101, 8092 Zürich, Switzerland), Paolo Massa (University of Applied Sciences and Arts Northwestern Switzerland, Bahnhofstrasse 6, 5210 Windisch, Switzerland) et al.
原文摘要Abstract
X-ray emission in solar flares is produced by both multi-thermal plasma and accelerated electrons. Classical imaging approaches reconstruct X-ray intensity maps which contain contributions from multiple spectral components (e.g., hot, superhot, and non-thermal), and do not allow retrieving the morphology of the different components separately. We introduce a novel imaging technique, called "Count-based spectral Component Imaging (CCI)", to jointly reconstruct spatially resolved emission measure maps of the thermal components, and the electron flux distribution of the non-thermal component from data provided by the Spectrometer/Telescope for Imaging X-rays (STIX) aboard Solar Orbiter. We formulate a linear model linking the Differential Emission Measure (DEM), approximated by two thermal components, and the non-thermal electron flux to the observed counts. The resulting inverse problem is solved with the Richardson-Lucy algorithm. We apply CCI to STIX observations of SOL2024-10-01T22 and compare it with the previously developed Spectral Component Imaging (SCI) method, as well as classical imaging approaches. The reconstructed thermal and non-thermal components show good agreement with those obtained using SCI. This proof-of-concept study shows that CCI obtains results consistent with SCI but with fewer inputs. In contrast with SCI, CCI can also be applied to hard X-ray focusing optics imaging.
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AI 综述
AI-generated · 以原文为准
亮点创新点在于把谱成分分离从“光谱拟合+可见度线性系统”三步法推进到直接在计数域联合反演,仅需输入温度和谱参数,并可单步重建热与非热源图;与 SCI 独立互验且可推广至聚焦光学硬 X 射线成像。
脉络与展望太阳耀斑X射线成像长期受多光谱成分混叠困扰,Caspi+ 2015 和 Stiefel+ 2025b 曾提出先用光谱拟合定参数、再解可见度线性系统并分别成像的三步谱成分成像方案,但需要总发射测或总电子通量等先验输入。本文发展的 CCI 则把 Massa+ 2019 的计数域 Richardson-Lucy 框架推广到双温 DEM 与厚靶非热成分的联合反演,仅需温度和谱参数即可单步重建各成分空间分布,并在 SOL2024-10-01T22 X7.1 耀斑上与 SCI 相互验证。该方法减少假设与中间步骤,为 STIX 数据提供自洽且互补的分析工具;更关键的是,它能适配硬 X 射线聚焦光学成像,例如将 Glesener+ 2017 中的 NuSTAR 观测用仪器 PSF 解卷积替代调制计数重建。未来可望把 CCI 推广到多仪器协同观测与更复杂的 DEM/非热模型,推动耀斑热与非热源区的空间分辨诊断。
预印本 2026-09-15 · 收录 2026-09-16