Yang 杨, Kai E. 凯 https://orcid.org/0000-0002-7663-7652
Sun 孙, Xudong 旭东 https://orcid.org/0000-0003-4043-616X
Tarr, Lucas A. https://orcid.org/0000-0002-8259-8303
Liu 刘, Jiayi 嘉奕 https://orcid.org/0000-0002-7290-0863
Sadowski, Peter https://orcid.org/0000-0002-7354-5461
Dodds, S. Curt https://orcid.org/0000-0001-6311-146X
Rempel, Matthias https://orcid.org/0000-0001-5850-3119
Jaeggli, Sarah A. https://orcid.org/0000-0001-5459-2628
Schad, Thomas A. https://orcid.org/0000-0002-7451-9804
Cunnyngham, Ian https://orcid.org/0000-0001-5171-9144
Glaser, Yannik https://orcid.org/0000-0001-7217-9749
Wolniewicz, Linnea https://orcid.org/0000-0002-2087-1634
Funding for this research was provided by:
National Science Foundation (#2008344)
National Science Foundation (#2515111)
National Science Foundation (#1848250)
National Science Foundation (1852977)
National Science Foundation (#2201428)
National Science Foundation (#2232862)
Article Title: Spectropolarimetric Inversion in Four Dimensions with Deep Learning (SPIn4D). II. A Physics-informed Machine Learning Method for 3D Solar Photosphere Reconstruction
Journal Title: The Astrophysical Journal
Article Type: paper
Copyright Information: © 2025. The Author(s). Published by the American Astronomical Society.
Publication dates
Date Received: 2025-08-19
Date Accepted: 2025-10-10
Online publication date: 2025-12-11