REVIEW 3 major objections 4 minor 58 references
A Non-Spherical Model for the Solar Coronal Magnetic Field
T0 review · 3 major / 4 minor · reviewed 2026-08-02 · deepseek-v4-flash
Pith's one-line read This paper argues that swapping the standard spherical source surface for a non-spherical surface of constant magnetic-field strength restores the Sun's missing open magnetic flux without shrinking coronal loops.
desk verdict A practical but not yet self-consistent non-spherical source-surface model; the open-flux match is partly fitted, partly real. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The central object is the Non-Spherical Source Surface (NSSS), a constant-|B| isosurface extracted from an initial potential-field solution and then used as the zero-potential upper boundary of a finite-element Laplace solver. The load-bearing property is that it is not a level surface in radius: it dips toward the Sun beneath current sheets at the cusps of helmet streamers, so the number of field lines that reach it and become open is larger locally than a sphere at the same mean height would allow. The surrounding structure is computed with a current-sheet layer, an exit sphere at 10 solar radii, and a spiral mapping to interplanetary space.
What would settle it
Run the NSSS extraction on the magnetic field of an MHD coronal simulation where the true open/closed boundary is known, then test whether the constant-|B| surface coincides with that boundary and reproduces the observed open flux without choosing an initial radius; if the match fails, the geometrical mechanism is not the cause of the extra flux.
Extended reading notes
Core claim
The central claim is that the long-standing open-flux problem — models systematically predicting less open magnetic flux than spacecraft observe — can be substantially reduced by changing the shape of the source surface rather than by lowering it everywhere. The authors construct a Non-Spherical Potential Field model whose upper boundary is the isosurface of |B| from an initial potential-field source-surface solution. The isosurface automatically forms concave pockets under external current sheets at the bases of helmet streamers, so the potential-field layer is thinner there; lower loops open near separatrix boundaries while taller loops remain closed elsewhere. For a solar-maximum interval
Load-bearing premise
The model rests on assuming that a constant-|B| surface extracted from an initial spherical solution is a good stand-in for the physical surface where field lines open; the paper admits it cannot yet prove this surface would be self-consistently both a field-strength isosurface and a zero-potential surface, and the best-case variant is chosen to match observed open flux.
Editorial extensions
If this is right
- With one magnetogram as input, the same workflow yields coronal topology, current-sheet structure, and interplanetary field predictions, so source-surface height no longer has to be tuned separately for each purpose.
- Open flux can be raised to observed levels without forcing all loops below a small height, removing a known artifact of simply lowering the spherical source surface.
- Solar-wind source footpoints become more compact and localized than in models with a spherical surface, concentrating the missing flux near open–closed boundaries.
- The resulting field can serve as a more realistic initial condition for global magnetohydrodynamic simulations of the corona and heliosphere.
Reading between the lines
- If the constant-|B| source surface is as representative as the results suggest, future models could treat the source surface as an output of the field solution rather than an adjustable parameter, removing the residual tuning against observed open flux.
- The compactness of modeled solar-wind source regions implies that the cross-hemisphere footpoint drift seen in spherical models may be an artifact of an over-high uniform boundary; slow-wind source mapping for space-weather connections could become more reliable.
- The same finite-element extraction could be applied to MHD coronal solutions or to magnetograms of other stars, making the open-flux geometry testable beyond the Sun.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper presents the Non-Spherical Potential Field (NSPF) model, which replaces the spherical source surface of the classic PFSS model with a non-spherical source surface (NSSS) defined as an isosurface of |B| extracted from an initial PFSS solution. The potential field is then recomputed with u=0 on the NSSS, and the field is extended through a Schatten-type current-sheet layer to 10 R_sun and then as a Parker spiral. For Carrington Rotation 2282, the authors compare NSPF fields (for initial radii 2.2, 2.5, 3.0 R_sun) with PFSS+PFCS models, using EUV and white-light images, total open flux, and PSP in-situ IMF measurements. They report that the NSPF model with R_ini=2.2 R_sun yields an open flux of 13.01 Gs·R_sun^2 (close to the observed value), produces more complex open-field regions consistent with EUV observations, and better predicts IMF polarity reversals than PFSS+PFCS with the same flux. The paper emphasizes that the NSSS dips to 1.05 R_sun, preserving loop heights up to ~1.08 R_sun, thereby solving the open-flux problem without uniformly lowering the source surface.
Significance. If the approach is valid, the NSPF model offers a promising, practical alternative to the common practice of lowering the PFSS source surface to fix the open-flux problem, and it could improve solar wind source mapping. The paper is honest about its main limitation—the lack of demonstrated self-consistency of the NSSS—and provides reproducible open-source code (FEM-PFS based on FEniCS/DOLFINx), which is a strength. The quantitative open-flux comparison in Table 1 is useful, and the idea of extracting a non-spherical surface from an isosurface of |B| is a concrete step forward. However, the central claims that the model 'successfully reproduces' coronal topology, IMF properties, and solar wind source regions are weakened by two load-bearing issues: (i) the NSSS is not shown to be a self-consistent source surface for the recomputed field, and (ii) the optimal configuration is selected using the same observed open flux and PSP data that are later used for validation. The physical mechanism for opening field at R_SS,min=1.05 R_sun is not quantitatively supported. These issues may be addressable in a revision, but they are central to the paper's headline conclusions.
major comments (3)
- [§2.2.3] The NSSS is extracted from an initial PFSS solution and then used as a Dirichlet boundary (u=0) for a new potential-field solve. The final field is not guaranteed to have |B| nearly constant on the NSSS; the authors explicitly state they cannot demonstrate convergence to a self-consistent NSSS and that the surface 'tends to shrink during the iterative process.' This is load-bearing because the physical justification in §2.2.2 assumes the NSSS is simultaneously a |B| isosurface and a zero-potential open-field boundary. If the final NSSS is not an isosurface of the recomputed field, the increased open flux (Table 1) may be an artifact of imposing an irregular boundary rather than a physically self-consistent representation of the source surface. Please quantify the deviation (e.g., a histogram or map of |B| on the final NSSS), test at least one additional iteration step, and report how the
- [§2.2.3 and §3.3] The optimal NSPF configuration (R_ini=2.2 R_sun) is selected by matching the observed open flux and PSP IMF measurements: the text states 'varying the initial spherical source-surface radius, and then use observational constraints to select the optimal NSSS configuration.' The resulting A=1.0 metric in Fig. 5a is therefore a fit to the same data that are used to claim successful reproduction of IMF properties. This circularity is central to the paper's validation. Please provide an out-of-sample test—for example, fix R_ini based on a different Carrington rotation or use independent constraints (such as coronal hole areas or white-light streamer positions) before comparing to PSP—or explicitly reframe the R_ini dependence as calibration rather than prediction. Without this, the headline agreement is not a falsifiable prediction.
- [§3.2 and Table 1] The NSSS reaches a minimum radius of 1.05 R_sun in the preferred configuration. At these heights, the coronal plasma beta and dynamic pressure are generally expected to be much less than unity, and the Alfvén surface is typically well above 1.05 R_sun. The physical argument in §2.2.2—that field lines open where ram pressure exceeds magnetic tension—is not quantified for this regime, and the NSSS is defined via |B|, not via beta or the stated pressure balance. The claim that the NSPF model solves the open-flux problem 'physically' requires evidence that the field can indeed open at such low heights (e.g., comparison with MHD simulations, observed streamer cusp heights, or a quantitative beta/ram-pressure analysis along the NSSS). Please add such a check or temper the physical interpretation accordingly.
minor comments (4)
- [Fig. 2 caption] The caption reads 'interstellar magnetic field'; this should be 'interplanetary magnetic field.'
- [References] The reference 'Neukrich, T.' appears to be a typo for 'Neukirch, T.' (in Zhu et al. 2022). Please check all author names.
- [§3.1] The comparison to EUV and white-light images is qualitative ('provide the best match to the observed coronal rays'). For a model that claims to 'successfully reproduce' coronal topology, a quantitative metric (e.g., overlap of open-field regions with coronal holes, location of streamer rays) would strengthen the conclusion. As written, the topology comparison is illustrative rather than definitive.
- [Eq. (3)] The linear form L(v) is written with 'brvds' in the text; this appears to be a LaTeX rendering issue for b_r v ds. Please ensure the symbol is defined (b_n is used in Eq. 1).
Circularity Check
Best-performing NSSS is selected using the same PSP open-flux data it is later used to validate; EUV/white-light topology checks remain independent.
-
fitted input called prediction
[§2.2.3 (NSSS selection); §3.2 Eq. 5; §3.3 Eqs. 6–9 and Fig. 5a]
"As a practical alternative, one may constrain the optimal NSSS by requiring that the modeled open magnetic flux match the observed value. Accordingly, in this study, we perform the source-surface extraction only once for each case, varying the initial spherical source-surface radius, and then use observational constraints to select the optimal NSSS configuration. While this approach is not formally rigorous, it is both practical and effective for our purposes."
The control parameter R_ini sets the height and concavity of the NSSS, which directly determines the total open flux Φ_total = ∫_SS |B_n| dS (Eq. 5) and, through Eq. 6, the modeled IMF at PSP. The paper selects R_ini = 2.2 R⊙ by requiring the modeled open flux/PSP IMF to match observations, then reports A=1.0, P=0.97, RMSE=0.10 for that same selected run as a successful prediction. The IMF-magnitude agreement is therefore the selection criterion restated as a validation metric rather than an independent test. The EUV/white-light topology and loop-height comparisons are not fitted and provide independent content, so the circularity is partial.
full rationale
The paper's derivation chain is: initial PFSS solution → extract NSSS as an isosurface of |B| → solve Laplace equation with u=0 on that NSSS → add SCS-style current-sheet layer → Parker-spiral mapping to PSP. The main circular step is in §2.2.3: the initial source-surface radius R_ini is varied (2.2, 2.5, 3.0 R⊙) and the optimal NSSS configuration is chosen using the observed open magnetic flux and PSP IMF. Because the open flux, and hence the modeled IMF magnitude, is controlled by the resulting NSSS geometry, the later claim that the R_ini=2.2 model 'predicts' the IMF with A=1.0 (Fig. 5a) is partly the selection criterion restated as a validation score. The paper itself concedes the non-rigorous nature of this step. Separately, §2.2.3 explicitly acknowledges that the iterative procedure is not shown to converge to a self-consistent NSSS that is simultaneously an isosurface of |B| and of the magnetic potential, and that the NSSS shrinks during iteration; this is a validity limitation rather than a circular reduction. The EUV/white-light topology comparisons, open-field map complexity, and loop-height distributions are not fitted to the PSP flux data and constitute independent evidence, which prevents a score of 8–10. No load-bearing self-citation chain is present: the Hou et al. (2024) citation is used only for the standard Parker-spiral mapping, and the Schulz et al. (1978) isogauss-surface concept is an external historical antecedent. Overall, partial circularity arises from using the validation observable to select the model configuration, giving a score of 6.
Assumptions & free parameters
free parameters (3)
- Initial spherical source-surface radius R_ini =
2.2 R_sun (selected as optimal)
- Isovalue of |B| used for NSSS extraction =
max(|B|) on the initial spherical source surface
- Exit sphere radius R_ES =
10 R_sun
assumptions (6)
- domain assumption The coronal field below the source surface is current-free and satisfies ∇²u=0
- domain assumption The source surface is a zero-potential surface where field lines become open and radial
- ad hoc to paper An isosurface of |B| extracted from a PFSS solution approximates the physical non-spherical source surface
- ad hoc to paper The recalculated NSSS remains a zero-potential/open surface even though it is no longer an exact |B| isosurface
- domain assumption Reversing the sign of the weaker polarity at the source surface and re-solving Laplace in the outer shell reproduces the heliospheric current sheet
- domain assumption Beyond the exit sphere, field lines follow Parker spirals with constant measured solar wind speed
Cite this review
Pith. "Pith review of A Non-Spherical Model for the Solar Coronal Magnetic Field." pith.science (2026). https://pith.science/paper/SL2LOIJA
@misc{pith2026260401028,
author = {Pith},
title = {Pith review of: A Non-Spherical Model for the Solar Coronal Magnetic Field},
year = {2026},
howpublished = {\url{https://pith.science/paper/SL2LOIJA}},
note = {Machine review of arXiv:2604.01028}
}
read the original abstract
The coronal magnetic field plays a fundamental role in governing coronal activities, driving space-weather events, and shaping the heliosphere. Due to a lack of direct observations, extrapolation models such as the Potential Field Source Surface (PFSS) model become the primary method to obtain the three-dimensional magnetic field distribution in the corona. However, the PFSS model cannot solve the long-standing open-flux problem, in which the extrapolated open magnetic flux is significantly lower than that inferred from in-situ measurements. To address this issue, we develop a Non-Spherical Potential Field (NSPF) model. The model introduces a Non-Spherical Source Surface (NSSS) defined as an isosurface of the total magnetic field. The NSSS naturally forms concave structures beneath external current sheets, enabling the model to generate substantially more open magnetic flux while yielding a physically plausible distribution of open field regions. As a result, the NSPF model successfully reproduces complex coronal magnetic topologies, interplanetary magnetic field properties, and solar wind source mappings. Our refined coronal magnetic model provides a useful framework for future research on solar and heliospheric magnetic coupling.
Figures
Figures from the paper (3 more)
Reference graph
Works this paper leans on
-
[1]
Abbo, L., Ofman, L., Antiochos, S. K., et al. 2016, SSRv, 201, 55, doi: 10.1007/s11214-016-0264-1
-
[2]
Altschuler, M. D., & Newkirk, Jr., G. 1969, SoPh, 9, 131, doi: 10.1007/BF00145734 14Wu et al
-
[3]
Linker, J. A. 2011, ApJ, 731, 112, doi: 10.1088/0004-637X/731/2/112
-
[4]
Arden, W. M., Norton, A. A., & Sun, X. 2014, Journal of Geophysical Research (Space Physics), 119, 1476, doi: 10.1002/2013JA019464
-
[5]
Arge, C. N., Odstrcil, D., Pizzo, V. J., & Mayer, L. R. 2003, in American Institute of Physics Conference Series, Vol. 679, Solar Wind Ten, ed. M. Velli, R. Bruno, F. Malara, & B. Bucci (AIP), 190–193, doi: 10.1063/1.1618574
-
[6]
Aschwanden, M. J. 2005, Physics of the Solar Corona. An Introduction with Problems and Solutions (2nd edition), doi: 10.1007/3-540-30766-4
-
[7]
Babcock, H. W. 1967, Physica, 33, 102, doi: 10.1016/0031-8914(67)90263-7
-
[8]
Badman, S. T., Bale, S. D., Mart ´ ınez Oliveros, J. C., et al. 2020, ApJS, 246, 23, doi: 10.3847/1538-4365/ab4da7
Show all 58 references
-
[9]
T., Brooks, D
Badman, S. T., Brooks, D. H., Poirier, N., et al. 2022, ApJ, 932, 135, doi: 10.3847/1538-4357/ac6610
2022 doi
-
[10]
D., Goetz, K., Harvey, P
Bale, S. D., Goetz, K., Harvey, P. R., et al. 2016, SSRv, 204, 49, doi: 10.1007/s11214-016-0244-5
2016 doi
-
[11]
D., Badman, S
Bale, S. D., Badman, S. T., Bonnell, J. W., et al. 2019, Nature, 576, 237, doi: 10.1038/s41586-019-1818-7
2019 doi
-
[12]
A., Dean, J
Baratta, I. A., Dean, J. P., Dokken, J. S., et al. 2023, DOLFINx: the next generation FEniCS problem solving environment,, preprint doi: 10.5281/zenodo.10447666
2023 doi
-
[13]
F., Boe, B., & Habbal, S
Benavitz, L. F., Boe, B., & Habbal, S. R. 2024, ApJ, 974, 178, doi: 10.3847/1538-4357/ad71c6
2024 doi
-
[14]
E., Howard, R
Brueckner, G. E., Howard, R. A., Koomen, M. J., et al. 1995, SoPh, 162, 357, doi: 10.1007/BF00733434
1995 doi
-
[15]
M., & Kemball, A
Crutcher, R. M., & Kemball, A. J. 2019, Frontiers in Astronomy and Space Sciences, 6, 66, doi: 10.3389/fspas.2019.00066
2019
-
[16]
J., Velli, M
Fox, N. J., Velli, M. C., Bale, S. D., et al. 2016, SSRv, 204, 7, doi: 10.1007/s11214-015-0211-6
2016 doi
-
[17]
2009, International Journal for Numerical Methods in Engineering, 79, 1309, doi: 10.1002/nme.2579
Geuzaine, C., & Remacle, J.-F. 2009, International Journal for Numerical Methods in Engineering, 79, 1309, doi: 10.1002/nme.2579
2009 doi
-
[18]
2023, Frontiers in Astronomy and Space Sciences, 9, 384, doi: 10.3389/fspas.2022.1058810
Gieseler, J., Dresing, N., Palmroos, C., et al. 2023, Frontiers in Astronomy and Space Sciences, 9, 384, doi: 10.3389/fspas.2022.1058810
2023
-
[19]
2016a, ApJ, 828, 83, doi: 10.3847/0004-637X/828/2/83
Guo, Y., Xia, C., & Keppens, R. 2016a, ApJ, 828, 83, doi: 10.3847/0004-637X/828/2/83
-
[20]
2016b, ApJ, 828, 82, doi: 10.3847/0004-637X/828/2/82
Guo, Y., Xia, C., Keppens, R., & Valori, G. 2016b, ApJ, 828, 82, doi: 10.3847/0004-637X/828/2/82
-
[21]
W., Hill, F., Hubbard, R
Harvey, J. W., Hill, F., Hubbard, R. P., et al. 1996, Science, 272, 1284, doi: 10.1126/science.272.5266.1284
1996
-
[22]
K., & Lynch, B
Higginson, A. K., & Lynch, B. J. 2018, ApJ, 859, 6, doi: 10.3847/1538-4357/aabc08
2018 doi
-
[23]
2024, Nature Astronomy, 8, 1246, doi: 10.1038/s41550-024-02321-9
Hou, C., He, J., Duan, D., et al. 2024, Nature Astronomy, 8, 1246, doi: 10.1038/s41550-024-02321-9
2024 doi
-
[24]
C., Abiad, R., Austin, G., et al
Kasper, J. C., Abiad, R., Austin, G., et al. 2016, SSRv, 204, 131, doi: 10.1007/s11214-015-0206-3
2016 doi
-
[25]
2023, A&A, 673, A66, doi: 10.1051/0004-6361/202245359
Keppens, R., Popescu Braileanu, B., Zhou, Y., et al. 2023, A&A, 673, A66, doi: 10.1051/0004-6361/202245359
2023 doi
-
[26]
Knizhnik, K. J. 2024, Frontiers in Astronomy and Space Sciences, 11, 1476498, doi: 10.3389/fspas.2024.1476498
2024
-
[27]
2019, A&A, 631, A17, doi: 10.1051/0004-6361/201935967
Koskela, J., Virtanen, I., & Mursula, K. 2019, A&A, 631, A17, doi: 10.1051/0004-6361/201935967
2019 doi
-
[28]
F., & Hauptmann, M
Kruse, M., Heidrich-Meisner, V., Wimmer-Schweingruber, R. F., & Hauptmann, M. 2020, A&A, 638, A109, doi: 10.1051/0004-6361/202037734
2020 doi
-
[29]
2025, Journal of Space Weather and Space Climate, 15, 24, doi: 10.1051/swsc/2025021
Kumar, S., Srivastava, N., Talpeanu, D.-C., et al. 2025, Journal of Space Weather and Space Climate, 15, 24, doi: 10.1051/swsc/2025021
2025
-
[30]
O., Luhmann, J
Lee, C. O., Luhmann, J. G., Hoeksema, J. T., Sun, X., & de Pater, I. 2010, in Solar Heliospheric and INterplanetary Environment (SHINE 2010), 10
2010
-
[31]
R., Title, A
Lemen, J. R., Title, A. M., Akin, D. J., et al. 2012, SoPh, 275, 17, doi: 10.1007/s11207-011-9776-8
2012 doi
-
[32]
H., Schulz, M., & Frazier, E
Levine, R. H., Schulz, M., & Frazier, E. N. 1982, SoPh, 77, 363, doi: 10.1007/BF00156118
1982 doi
-
[33]
A., Caplan, R
Linker, J. A., Caplan, R. M., Downs, C., et al. 2017, ApJ, 848, 70, doi: 10.3847/1538-4357/aa8a70
2017 doi
- [34]
-
[35]
J., Yardley, S
Lockwood, M., Owens, M. J., Yardley, S. L., et al. 2022, Frontiers in Astronomy and Space Sciences, 9, 976444, doi: 10.3389/fspas.2022.976444
2022
-
[36]
2025, ApJ, 994, 160, doi: 10.3847/1538-4357/ae0f1e Miki´ c, Z., Downs, C., Linker, J
Ma, X., Yang, L., Feng, X., et al. 2025, ApJ, 994, 160, doi: 10.3847/1538-4357/ae0f1e Miki´ c, Z., Downs, C., Linker, J. A., et al. 2018, Nature Astronomy, 2, 913, doi: 10.1038/s41550-018-0562-5
2025 doi
-
[37]
2020, ApJS, 246, 54, doi: 10.3847/1538-4365/ab61f4
Panasenco, O., Velli, M., D’Amicis, R., et al. 2020, ApJS, 246, 54, doi: 10.3847/1538-4365/ab61f4
2020 doi
-
[38]
I., & Wyper, P
Pontin, D. I., & Wyper, P. F. 2015, ApJ, 805, 39, doi: 10.1088/0004-637X/805/1/39 R´ egnier, S. 2013, SoPh, 288, 481, doi: 10.1007/s11207-013-0367-8
2015 doi
-
[39]
A., Mikic, Z., et al
Riley, P., Linker, J. A., Mikic, Z., et al. 2019, ApJ, 884, 18, doi: 10.3847/1538-4357/ab3a98
2019 doi
-
[40]
A., Miki´ c, Z., et al
Riley, P., Linker, J. A., Miki´ c, Z., et al. 2006, ApJ, 653, 1510, doi: 10.1086/508565
2006 doi
-
[41]
A., Petrie, G., Kuhn, J., et al
Schad, T. A., Petrie, G., Kuhn, J., et al. 2024, Science Advances, 10, eadq1604, doi: 10.1126/sciadv.adq1604
2024 doi
-
[42]
Schatten, K. H. 1971, Cosmic Electrodynamics, 2, 232
1971
-
[43]
H., Wilcox, J
Schatten, K. H., Wilcox, J. M., & Ness, N. F. 1969, SoPh, 6, 442, doi: 10.1007/BF00146478 Non-spherical Potential Field Model15
1969 doi
-
[44]
N., & Boucher, Jr., D
Schulz, M., Frazier, E. N., & Boucher, Jr., D. J. 1978, SoPh, 60, 83, doi: 10.1007/BF00152334
1978 doi
-
[45]
2024, ApJ, 970, 131, doi: 10.3847/1538-4357/ad5200
Shi, G., Feng, L., Ying, B., Li, S., & Gan, W. 2024, ApJ, 970, 131, doi: 10.3847/1538-4357/ad5200
2024 doi
-
[46]
2025, arXiv e-prints, arXiv:2510.05513, doi: 10.48550/arXiv.2510.05513
Shoda, M., Tokoro, K., Shiota, D., & Imada, S. 2025, arXiv e-prints, arXiv:2510.05513, doi: 10.48550/arXiv.2510.05513
2025 doi
-
[47]
2020, The Journal of Open Source Software, 5, 2732, doi: 10.21105/joss.02732
Stansby, D., Yeates, A., & Badman, S. 2020, The Journal of Open Source Software, 5, 2732, doi: 10.21105/joss.02732
2020 doi
-
[48]
2019, Journal of Open Source Software, 4, 1450, doi: 10.21105/joss.01450
Sullivan, B., & Kaszynski, A. 2019, Journal of Open Source Software, 4, 1450, doi: 10.21105/joss.01450
2019 doi
-
[49]
2024, SDO/AIA Carrington Maps, Accessed on 2025-10-27 STEREO Science Center, doi: 10.48322/205Z-N617 van der Holst, B., Sokolov, I
Thernisien, A., Hutting, L., Ugarte-Urra, I., et al. 2024, SDO/AIA Carrington Maps, Accessed on 2025-10-27 STEREO Science Center, doi: 10.48322/205Z-N617 van der Holst, B., Sokolov, I. V., Meng, X., et al. 2014, ApJ, 782, 81, doi: 10.1088/0004-637X/782/2/81
2024 doi
-
[50]
2006, A&A, 453, 737, doi: 10.1051/0004-6361:20054751
Neukirch, T. 2006, A&A, 453, 737, doi: 10.1051/0004-6361:20054751
2006 doi
-
[51]
Wiegelmann, T., Petrie, G. J. D., & Riley, P. 2017, SSRv, 210, 249, doi: 10.1007/s11214-015-0178-3
2017 doi
-
[52]
2021, Living Reviews in Solar Physics, 18, 1, doi: 10.1007/s41116-020-00027-4
Wiegelmann, T., & Sakurai, T. 2021, Living Reviews in Solar Physics, 18, 1, doi: 10.1007/s41116-020-00027-4
2021 doi
-
[53]
P., Pontin, D
Wilkins, C. P., Pontin, D. I., Yeates, A. R., et al. 2025, ApJ, 985, 190, doi: 10.3847/1538-4357/adcd65
2025 doi
-
[54]
2024, Science, 386, 76, doi: 10.1126/science.ado2993
Yang, Z., Tian, H., Tomczyk, S., et al. 2024, Science, 386, 76, doi: 10.1126/science.ado2993
2024 doi
-
[55]
Zhao, X., & Hoeksema, J. T. 1994, SoPh, 151, 91, doi: 10.1007/BF00654084
1994 doi
-
[56]
Zhao, X., & Hoeksema, J. T. 1995, Advances in Space Research, 16, 181, doi: 10.1016/0273-1177(95)00331-8
1995 doi
-
[57]
2022, Science in China E: Technological Sciences, 65, 1710, doi: 10.1007/s11431-022-2047-8
Zhu, X., Neukrich, T., & Wiegelmann, T. 2022, Science in China E: Technological Sciences, 65, 1710, doi: 10.1007/s11431-022-2047-8
2022 doi
- [58]
Reviewed August 2, 2026 · model on record in the stance chip above.
Discussion (0). Sign in to comment.