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Machine Learning–based Separation of the He I 10830 Å Chromospheric Signal: Quantitative Analysis of Chromosphere–Corona Intensity in the Quiet Sun

Authors: Huaiming Li, Fangyu Xu, Yi Bi, Zhenyu Jin

Huaiming Li et al 2026 The Astrophysical Journal Supplement Series 284 .

Provider: AAS Journals

Caption: Figure 13.

Detailed architecture of the Model B for QS regions. The model directly maps TiO to 10830 Å by treating the weak and rapidly varying chromospheric signals as residuals, thereby establishing a mapping relationship between TiO and the photospheric information of 10830 Å.

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