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PINN ME: A Physics-informed Neural Network Framework for Accurate Milne–Eddington Inversions of Solar Magnetic Fields
Robert Jarolim, Momchil E. Molnar, Benoit Tremblay, Rebecca Centeno and Matthias Rempel The Astrophysical Journal Letters 985(1) L7 (2025) https://doi.org/10.3847/2041-8213/add342
Spectral resolution effects on the information content in solar spectra
Nonlinear Calibration Method for FMG Line-of-Sight Magnetic Field
Ziyao Hu, Kaifan Ji, Xianyong Bai, Yuanyong Deng, Jiangtao Su, Jingjing Guo, Suo Liu and Xiao Yang Universe 11(4) 108 (2025) https://doi.org/10.3390/universe11040108
On the Magnetic and Thermodynamic Properties of Dark Fibrils in the Chromosphere
Exploring spectropolarimetric inversions using neural fields
C. J. Díaz Baso, A. Asensio Ramos, J. de la Cruz Rodríguez, J. M. da Silva Santos and L. Rouppe van der Voort Astronomy & Astrophysics 693 A170 (2025) https://doi.org/10.1051/0004-6361/202452172
What Can DKIST/DL-NIRSP Tell Us about Quiet-Sun Magnetism?
The MODEST catalog of depth-dependent spatially coupled inversions of sunspots observed by Hinode/SOT-SP
J. S. Castellanos Durán, N. Milanovic, A. Korpi-Lagg, B. Löptien, M. van Noort and S. K. Solanki Astronomy & Astrophysics 687 A218 (2024) https://doi.org/10.1051/0004-6361/202449269
SuperSynthIA: Physics-ready Full-disk Vector Magnetograms from HMI, Hinode, and Machine Learning
Ruoyu Wang, David F. Fouhey, Richard E. L. Higgins, Spiro K. Antiochos, Graham Barnes, J. Todd Hoeksema, K. D. Leka, Yang Liu, Peter W. Schuck and Tamas I. Gombosi The Astrophysical Journal 970(2) 168 (2024) https://doi.org/10.3847/1538-4357/ad41e3
Spatial resolution effects on the solar open flux estimates
Simulating the Photospheric to Coronal Plasma Using Magnetohydrodynamic Characteristics. I. Data-driven Boundary Conditions
Lucas A. Tarr, N. Dylan Kee, Mark G. Linton, Peter W. Schuck and James E. Leake The Astrophysical Journal Supplement Series 270(2) 30 (2024) https://doi.org/10.3847/1538-4365/ad0e0c
Solar multiobject multiframe blind deconvolution with a spatially variant convolution neural emulator
Peter Caligari, Faezeh Aghaei, Janek Beck, Nazaret Bello González, Svetlana Berdyugina, Andreas Bührer, Andrea Diercke, Iaroslav Gorbachev, Andrei Y. Gorobets, Marco Günter, Kamal Hamdan, Alexander Hochmuth, Lea Hohl, Petri Kehusmaa, Markus Knobloch, Sani Patel, Markus Schmassmann, Gangadharan Vigeesh, Taras Yakobchuk, Morten Franz, Thomas Hederer, Carl Schaffer and Manuel Collados Solar Physics 299(10) (2024) https://doi.org/10.1007/s11207-024-02388-7
Constraints on Acoustic Wave Energy Fluxes and Radiative Losses in the Solar Chromosphere from Non-LTE Inversions
J. M. da Silva Santos, M. Molnar, I. Milić, M. Rempel, K. Reardon and J. de la Cruz Rodríguez The Astrophysical Journal 976(1) 21 (2024) https://doi.org/10.3847/1538-4357/ad81d4
High-fidelity reconstruction of large-area damaged turbulent fields with a physically constrained generative adversarial network
Spectropolarimetric Inversion in Four Dimensions with Deep Learning (SPIn4D). I. Overview, Magnetohydrodynamic Modeling, and Stokes Profile Synthesis
Kai E. 凯 Yang 杨, Lucas A. Tarr, Matthias Rempel, S. Curt Dodds, Sarah A. Jaeggli, Peter Sadowski, Thomas A. Schad, Ian Cunnyngham, Jiayi 嘉奕 Liu 刘, Yannik Glaser and Xudong 旭东 Sun 孙 The Astrophysical Journal 976(2) 204 (2024) https://doi.org/10.3847/1538-4357/ad865b
Bo Shen, Marco Marena, Chenyang Li, Qin Li, Haodi Jiang, Mengnan Du, Jiajun Xu and Haimin Wang 1860 (2024) https://doi.org/10.1109/BigData62323.2024.10825648
A study of the capabilities for inferring atmospheric information from high-spatial-resolution simulations
C. Quintero Noda, E. Khomenko, M. Collados, B. Ruiz Cobo, R. Gafeira, N. Vitas, M. Rempel, R. J. Campbell, A. Pastor Yabar, H. Uitenbroek and D. Orozco Suárez Astronomy & Astrophysics 675 A93 (2023) https://doi.org/10.1051/0004-6361/202345890
Predicting the Radiation Field of Molecular Clouds Using Denoising Diffusion Probabilistic Models
Duo Xu, Stella S. R. Offner, Robert Gutermuth, Michael Y. Grudić, Dávid Guszejnov and Philip F. Hopkins The Astrophysical Journal 958(1) 97 (2023) https://doi.org/10.3847/1538-4357/acfedc
Stokes Inversion Techniques with Neural Networks: Analysis of Uncertainty in Parameter Estimation
Lukia Mistryukova, Andrey Plotnikov, Aleksandr Khizhik, Irina Knyazeva, Mikhail Hushchyn and Denis Derkach Solar Physics 298(8) (2023) https://doi.org/10.1007/s11207-023-02189-4
Quantifying Poynting Flux in the Quiet Sun Photosphere
Dennis Tilipman, Maria Kazachenko, Benoit Tremblay, Ivan Milić, Valentin Martínez Pillet and Matthias Rempel The Astrophysical Journal 956(2) 83 (2023) https://doi.org/10.3847/1538-4357/ace621
Waves in the lower solar atmosphere: the dawn of next-generation solar telescopes
David B. Jess, Shahin Jafarzadeh, Peter H. Keys, Marco Stangalini, Gary Verth and Samuel D. T. Grant Living Reviews in Solar Physics 20(1) (2023) https://doi.org/10.1007/s41116-022-00035-6
Advances in Neural Computation, Machine Learning, and Cognitive Research VI
Lukia Mistryukova, Irina Knyazeva, Andrey Plotnikov, et al. Studies in Computational Intelligence, Advances in Neural Computation, Machine Learning, and Cognitive Research VI 1064 12 (2023) https://doi.org/10.1007/978-3-031-19032-2_2
Spatio-temporal analysis of chromospheric heating in a plage region
Inferring Line-of-sight Velocities and Doppler Widths from Stokes Profiles of GST/NIRIS Using Stacked Deep Neural Networks
Haodi Jiang, Qin Li, Yan Xu, Wynne Hsu, Kwangsu Ahn, Wenda Cao, Jason T. L. Wang and Haimin Wang The Astrophysical Journal 939(2) 66 (2022) https://doi.org/10.3847/1538-4357/ac927e
Toward efficient runs of nonlinear gyrokinetic simulations assisted by a convolutional neural network model recognizing wavenumber-space images
SynthIA: A Synthetic Inversion Approximation for the Stokes Vector Fusing SDO and Hinode into a Virtual Observatory
Richard E. L. Higgins, David F. Fouhey, Spiro K. Antiochos, Graham Barnes, Mark C. M. Cheung, J. Todd Hoeksema, K. D. Leka, Yang Liu, Peter W. Schuck and Tamas I. Gombosi The Astrophysical Journal Supplement Series 259(1) 24 (2022) https://doi.org/10.3847/1538-4365/ac42d5
Deep Learning–based Fast Spectral Inversion of Hα and Ca ii 8542 Line Spectra
Kyoung-Sun Lee, Jongchul Chae, Eunsu Park, Yong-Jae Moon, Hannah Kwak and Kyuhyoun Cho The Astrophysical Journal 940(2) 147 (2022) https://doi.org/10.3847/1538-4357/ac9c60
Advances in Neural Computation, Machine Learning, and Cognitive Research V
Irina Knyazeva, Andrey Plotnikov, Tatiana Medvedeva and Nikolay Makarenko Studies in Computational Intelligence, Advances in Neural Computation, Machine Learning, and Cognitive Research V 1008 299 (2022) https://doi.org/10.1007/978-3-030-91581-0_40
Magnetic Field Diagnostics in the Solar Upper Atmosphere
On the effect of oscillatory phenomena on Stokes inversion results
P. H. Keys, O. Steiner and G. Vigeesh Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 379(2190) (2021) https://doi.org/10.1098/rsta.2020.0182
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
Machine learning initialization to accelerate Stokes profile inversions
Fast and Accurate Emulation of the SDO/HMI Stokes Inversion with Uncertainty Quantification
Richard E. L. Higgins, David F. Fouhey, Dichang Zhang, Spiro K. Antiochos, Graham Barnes, J. Todd Hoeksema, K. D. Leka, Yang Liu, Peter W. Schuck and Tamas I. Gombosi The Astrophysical Journal 911(2) 130 (2021) https://doi.org/10.3847/1538-4357/abd7fe
Unsupervised Machine Learning for the Identification of Preflare Spectroscopic Signatures
Classification of High-resolution Solar Hα Spectra Using t-distributed Stochastic Neighbor Embedding
Meetu Verma, Gal Matijevič, Carsten Denker, Andrea Diercke, Ekaterina Dineva, Horst Balthasar, Robert Kamlah, Ioannis Kontogiannis, Christoph Kuckein and Partha S. Pal The Astrophysical Journal 907(1) 54 (2021) https://doi.org/10.3847/1538-4357/abcd95
Measuring the Magnetic Origins of Solar Flares, Coronal Mass Ejections, and Space Weather
Philip Judge, Matthias Rempel, Rana Ezzeddine, Lucia Kleint, Ricky Egeland, Svetlana V. Berdyugina, Thomas Berger, Paul Bryans, Joan Burkepile, Rebecca Centeno, Giuliana de Toma, Mausumi Dikpati, Yuhong Fan, Holly Gilbert and Daniela A. Lacatus The Astrophysical Journal 917(1) 27 (2021) https://doi.org/10.3847/1538-4357/ac081f
A nonlinear solar magnetic field calibration method for the filter-based magnetograph by the residual network
Inferring Vector Magnetic Fields from Stokes Profiles of GST/NIRIS Using a Convolutional Neural Network
Hao Liu, Yan Xu, Jiasheng Wang, Ju Jing, Chang Liu, Jason T. L. Wang and Haimin Wang The Astrophysical Journal 894(1) 70 (2020) https://doi.org/10.3847/1538-4357/ab8818
A Non-Linear Magnetic Field Calibration Method for Filter-Based Magnetographs by Multilayer Perceptron
Physical properties of bright Ca II K fibrils in the solar chromosphere
Sepideh Kianfar, Jorrit Leenaarts, Sanja Danilovic, Jaime de la Cruz Rodríguez and Carlos José Díaz Baso Astronomy & Astrophysics 637 A1 (2020) https://doi.org/10.1051/0004-6361/202037572
Connecting the Wilson depression to the magnetic field of sunspots