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Home All issues A&A, 632 (2019) A82 Article references

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Cited article:

Structure and Dynamics of the Sun’s Interior Revealed by the Helioseismic and Magnetic Imager

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Solar Physics 300 (5) (2025)
https://doi.org/10.1007/s11207-025-02480-6

FArSide Trained Active Region Recognition (FASTARR): A Machine Learning Approach

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The Astrophysical Journal Supplement Series 278 (2) 53 (2025)
https://doi.org/10.3847/1538-4365/add893

The return of FarNet-II: Generation of solar far-side magnetograms from helioseismic data

E. G. Broock, A. Asensio Ramos and T. Felipe
Astronomy & Astrophysics 692 A182 (2024)
https://doi.org/10.1051/0004-6361/202451625

Dampening long-period doppler shift oscillations using deep machine learning techniques in the solar network and internetwork

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Advances in Space Research 74 (7) 3448 (2024)
https://doi.org/10.1016/j.asr.2024.06.034

Imaging individual active regions on the Sun’s far side with improved helioseismic holography

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Astronomy & Astrophysics 669 A89 (2023)
https://doi.org/10.1051/0004-6361/202244923

A possible converter to denoise the images of exoplanet candidates through machine learning techniques

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New Astronomy 100 101997 (2023)
https://doi.org/10.1016/j.newast.2022.101997

Inferring Maps of the Sun’s Far-side Unsigned Magnetic Flux from Far-side Helioseismic Images Using Machine Learning Techniques

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The Astrophysical Journal 941 (2) 197 (2022)
https://doi.org/10.3847/1538-4357/aca333

Exploring the Sun’s upper atmosphere with neural networks: Reversed patterns and the hot wall effect

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Astronomy & Astrophysics 652 A78 (2021)
https://doi.org/10.1051/0004-6361/202140424

Accurately constraining velocity information from spectral imaging observations using machine learning techniques

Conor D. MacBride, David B. Jess, Samuel D. T. Grant, et al.
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 379 (2190) (2021)
https://doi.org/10.1098/rsta.2020.0171

Selection of Three (Extreme)Ultraviolet Channels for Solar Satellite Missions by Deep Learning

Daye Lim, Yong-Jae Moon, Eunsu Park and Jin-Yi Lee
The Astrophysical Journal Letters 915 (2) L31 (2021)
https://doi.org/10.3847/2041-8213/ac0d54