REVIEW 4 major objections 6 minor 64 references
A New Interpretation for the Hot Corona in Active Galactic Nuclei
T0 review · 4 major / 6 minor · reviewed 2026-08-09 · deepseek-v4-flash
Pith's one-line read The paper argues that the hot corona of active galactic nuclei is a plasmoid chain in a magnetic reconnection layer, whose predicted height–luminosity relation matches X-ray reverberation data for IRAS 13224-3809.
desk verdict A plausible and well-presented reconnection-layer model for the AGN corona, whose main claim of validation rests on an unproven identification between a luminosity-weighted mean height and the lamp-post height. 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 load-bearing object is the magnetic tower boundary treated as a reconnection layer: a vertical, helically twisted magnetic structure whose outer boundary is a thin current sheet. Its shape is parameterized by $Z/R_g=\alpha(R_m/R_g-R_{\rm in}/R_g)^\beta$, with $R_m(Z)$ the tower radius, so different $(\alpha,\beta)$ interpolate between mildly radially extended and strongly collimated parabolic geometries. The layer thickness is tied to the largest plasmoids by $W_c\sim0.2S_c$, and the seed photon energy density is obtained by integrating the standard thin-disk flux over the disk surface. The dynamics are set by equating the magnetic push force $f_{\rm push}=\xi U_B/W$ with the inverse-Compton drag force $f_{\rm drag}=\beta\gamma^2U_s\sigma_T n_\pm$, giving a maximum velocity for each plasmoid size that is capped at $\gamma\simeq\sqrt{\sigma_{\rm mag}}$. The machinery then sums the IC power of all plasmoids along the layer (Eqs. 21–23) and defines the corona height $H_{\rm cor}$ as the luminosity-weighted mean height (Eq. 24); this $H_{\rm cor}$ is identified with the height of the point-like corona in the lamp-post model.
What would settle it
Compute the X-ray reverberation lag transfer function for the extended emissivity profile of Equations (21)–(23) and check whether the lag-derived height equals $H_{\rm cor}$; if it does not, the agreement in Figure 8 does not test the model geometry.
Extended reading notes
Core claim
The central claim is that the chain of plasmoids formed in a thin parabolic reconnection layer along the boundary of a magnetic tower constitutes the physical realization of the hot corona in AGN reverberation mapping. For a layer shape $Z/R_g=\alpha(R_m/R_g-R_{\rm in}/R_g)^\beta$ and a standard thin-disk soft-photon field, the model computes the inverse-Compton power of plasmoids whose sizes follow $f(W)\propto W^{-1}$ and whose speeds are limited by the balance of magnetic push and IC drag, capped at the fast-magnetosonic Lorentz factor $\gamma\simeq\sqrt{\sigma_{\rm mag}}$. Integrating the power over the layer yields luminosities in the range $10^{42}$–$10^{46}\,\mathrm{erg\,s^{-1}}$ for typical AGN parameters, and defining the effective corona height $H_{\rm cor}$ as the luminosity-weighted mean height of the layer reproduces the observed correlation between corona height and 2–10 keV luminosity for IRAS 13224-3809. The paper concludes that a corona with mild radial extension ($\beta\sim3$) fits most data points, that the geometry may vary on the viscous timescale, and that the associated magnetic field strengths of $10^3$–$10^5$ G are in line with spectropolarimetric estimates.
Load-bearing premise
The argument depends on identifying the model's luminosity-weighted average height $H_{\rm cor}$ with the height of a point-like lamp-post corona inferred from X-ray reverberation lags, an identification that is assumed rather than derived from the transfer function of the extended source.
Editorial extensions
If this is right
- The point-like lamp-post corona can be reinterpreted as the luminosity-weighted height of a vertically extended reconnection layer, so observed lag heights trace the length of the layer rather than a compact source location.
- The height-luminosity correlation seen in IRAS 13224-3809 arises from variations in the layer size $S_c$ by roughly a factor of two, on a viscous timescale of days for that source, without invoking changes in coronal temperature or optical depth.
- The model predicts magnetic field strengths of $10^3$–$10^5$ G near the innermost disk for typical AGN parameters, consistent with spectropolarimetric estimates and corresponding to magnetization $\sigma_{\rm mag}\sim1$–$10^3$.
- Because X-rays come mainly from IC emission of plasmoids while radio comes from synchrotron-emitting high-energy particles near reconnection points, correlated flares should show radio leading X-ray; monitoring this sequence in AGNs would test the reconnection origin of the variability.
- No single corona geometry fits all the observed points, implying that the layer's radial extension changes with time, possibly driven by variations in external pressure or magnetic flux threading the black hole.
Reading between the lines
- If the identification of $H_{\rm cor}$ with the lamp-post height fails a transfer-function calculation, the agreement with IRAS 13224-3809 would test only the overall normalization, not the geometry; a full reverberation simulation of the extended layer would decide this.
- The same machinery could be applied to stellar-mass black hole X-ray binaries, where the smaller gravitational radius and different disk temperatures shift the seed photon field; the predicted height-luminosity relation could then be checked with fast timing observations of bright accretion events.
- A more complete radiative treatment would relax the assumption that only disk photons are upscattered; at high $\beta_{\rm mag}$ synchrotron photons from the plasmoids themselves could seed a second Compton component, altering the spectral tail above where the current one-zone estimate applies.
- The model's requirement that $\beta_{\rm mag}\sim10^{-4}$–$10^{-3}$ makes the magnetic pressure only a small fraction of the disk radiation pressure; this predicts a specific scaling of the X-ray-to-UV luminosity ratio with accretion rate that could be tested across a sample of reverberation-mapped AGNs.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper proposes a physical model in which the hot corona of an AGN is identified with a vertically extended magnetic reconnection layer along the boundary of a magnetic tower, populated by a chain of plasmoids. The authors specify the tower geometry via a two-parameter power law, compute the soft-photon energy density from a standard thin disk, model plasmoid dynamics by balancing magnetic push against inverse-Compton drag, and calculate the total IC power of the plasmoid chain. They define H_cor (Eq. 24) as the luminosity-weighted mean height of the extended layer and identify it with the point-like lamp-post height used in X-ray reverberation mapping. Applying the model to IRAS 13224-3809, they fix the magnetic pressure fraction beta_mag so that one geometry (M2) passes through the observed average luminosity and height, then compare the relative amplitude A(P_tot) versus H_cor with the observed A(L_2-10keV) versus H_cor for nine tower geometries, reporting good agreement and concluding that the model is validated.
Significance. If the identification of H_cor with the reverberation-mapped lamp-post height is correct, the model provides a physically motivated microphysical basis for the hot corona and a framework for connecting reconnection physics to the observed height-luminosity relation. The paper builds on established results on plasmoid-mediated reconnection and magnetic towers, and it produces quantitative, comparable predictions. However, the validation claim is currently weakened by three issues: the asserted equality between the luminosity-weighted mean height of an extended source and the height inferred by fitting a point-like lamp-post model; the calibration of beta_mag to the same source average luminosity and height combined with scanning over nine geometries and selective matching to different height ranges; and the neglect of the plasmoid filling factor. These issues do not invalidate the model, but they mean that Figure 8 should be interpreted as a consistency check after parameter adjustment rather than as an independent validation.
major comments (4)
- [Section 2.5, Eq. (24)] The identification of H_cor, defined as the luminosity-weighted mean height of the extended reconnection layer, with the height of the point-like lamp-post corona recovered from X-ray reverberation lags is asserted rather than derived. X-ray reverberation lag measurements are sensitive to the full transfer function of the extended source, including the spatial emissivity distribution, the disk illumination pattern, light-travel delays, and the energy bands used in the lag-energy fit. The first moment of the source height is not in general equal to the effective height obtained by fitting a point-like lamp-post model; for an extended source the two can differ substantially. Since the central claim of the paper rests on the agreement between the theoretical H-L relation and the observed one, the authors must either compute the transfer function for their extended, radially stratified reconnection layer and demonstrate that a point-like lamp-post fit returns H_cor within the observational uncertainties, or explicitly treat H_cor as a model-specific quantity and moderate the wording of the validation claim. Without this step, Figure 8 does not test the reconnection-layer geometry.
- [Section 2.6] The comparison with IRAS 13224-3809 is partly circular and selective. The magnetic pressure fraction beta_mag is chosen (5.1e-4) so that the M2 curve passes through the observed time-average point (0,10.6) in Figure 8. Then nine tower geometries are scanned, and different subsets are reported as matching different height ranges: M1/M4/M7 for H below 13 Rg, M2/M5/M8 for heights near 15 Rg, and M3/M6/M9 for heights near 20 Rg. This is not a single-model prediction but a family of models with parameters adjusted to the same source. The phrase 'in good agreement' in the abstract and Section 3 is therefore misleading. The authors should provide a quantitative goodness-of-fit test (for example, chi-squared or a likelihood with the observed error bars) for a single geometry with a single beta_mag, and state how many data points can actually be reproduced by any one curve. Without such a statistic, the residual slope agreement could be a result of parameter freedom rather than a physical prediction.
- [Section 2.5, Eq. (22)] The filling factor of the plasmoid chain is explicitly assumed to be unity in Eq. (22), as stated in the text. The absolute normalization of P_tot is absorbed into the fitted beta_mag, so this assumption does not affect the calibration of the average point. However, the slope of the H-L relation and the value of H_cor depend on how the emitting volume and the number of radiating electrons scale with height; a filling factor that varies along the layer would change P_cir(Z) and therefore both H_cor and the shape of the curves in Figure 8. The authors should perform a sensitivity test with a height-dependent filling factor (for example, varying between 0.1 and 1) and report whether the slope or the relative offsets of the theoretical curves change by more than the observational scatter.
- [Section 2.6, Eq. (26)] The relation A(L_2-10keV) = A(P_tot) assumes that the spectral shape of the IC emission is constant along the reconnection layer. However, from Eqs. (16) and (21), the maximum electron Lorentz factor gamma_max depends on the local soft-photon energy density U_s(Z), which decreases with height as shown in Figure 4. The low-energy cutoff of the upscattered spectrum, set roughly by gamma_max squared times the disk seed photon energy, is therefore position-dependent, so the fraction of the total power falling in the 2-10 keV band should vary along the layer. The authors should either justify the fixed-shape approximation by estimating the magnitude of this variation or quantify the error introduced in the relative amplitude. This is relevant because the main comparison in Figure 8 is made in terms of the relative amplitude of the 2-10 keV luminosity.
minor comments (6)
- [Section 2.4] The section title contains a typographical error: 'Plamoids' should be 'Plasmoids'.
- [Equation (22)] The factor W in the integrand of Eq. (22) is not explained. Since f(W) is introduced as a size distribution with normalization 1/ln(W_max/W_min), the physical meaning of weighting by W is unclear; please clarify how the number of radiating electrons in plasmoids of size W is related to f(W) and why the power scales as W times f(W) rather than as f(W) alone or as W squared times f(W).
- [Figure 4 caption] The right panel is described as showing the energy density of the soft photon field varying with height for different (alpha, beta), but it is not clear whether U_s is evaluated along the tower boundary for each model or at a fixed radius; please specify the path along which U_s is plotted.
- [Section 2.6] When deriving beta_mag, the paper uses a conversion factor of 0.25 from the 0.3-100 keV total power to the 2-10 keV luminosity, based on a power law with photon index 2.4. Since the photon index is time-dependent and the lower-energy cutoff of the IC spectrum may vary, please state the assumed spectral model explicitly and check whether the conversion factor remains appropriate over the range of luminosities considered.
- [Section 3.1] The claim that P_tot is proportional to S_c is stated without derivation. Since P_cir depends on S_c through W_c and n_plus via Eqs. (2) and (7), the proportionality is not obvious from the text; please include the explicit functional form or refer to a figure that demonstrates this relation.
- [Abstract] The abstract states that the theoretical results are 'in good agreement with the observations of IRAS 13224-3809, indicating the validation of our model.' Given the calibration of beta_mag to the same source's average point and the selection among nine geometries, a more cautious wording such as 'consistent with the observed relation after accounting for the model parameters' would be more appropriate.
Circularity Check
The IRAS 13224-3809 validation is partially circular: beta_mag is adjusted so the model curve passes through the observed average luminosity/height point, and H_cor is defined/associated with the lamp-post height, so normalization and the x-axis identification are inputs; only the slope/shape of the relation remains a genuine model prediction.
-
other
[Section 2.5, Equation (24)]
"This definition represents the effective height of the vertically extended radiative corona, which we associate with the height of the point-like hot corona in the lamp-post model."
The observed reverberation height is a lamp-post model parameter recovered from the full X-ray lag transfer function, which depends on the extended source's emissivity profile, disk illumination, and light-travel delays. H_cor in Eq. (24) is a luminosity-weighted first moment of the model layer's height. By saying this quantity 'we associate with the height of the point-like hot corona', the paper makes H_cor identical to the observed quantity by definitional fiat rather than by derivation. Consequently, Figure 8's x-axis is not an independent test of the model geometry; if the transfer-function mapping differs from the luminosity-weighted mean height, the apparent agreement does not validate the reconnection-layer picture.
-
fitted input called prediction
[Section 2.6, Application to IRAS 13224-3809]
"By adjusting βmag, we ensure that the curve calculated in Section 2.5 aligns with the point corresponding to the observed average luminosity and height of the hot corona, resulting in βmag = 5.1 × 10−4."
The single free parameter that controls the radiation-power normalization is fitted to the observed average 2-10 keV luminosity and average corona height of IRAS 13224-3809. Therefore the theoretical curve in Figure 8 passes through the mean observed point (0, 10.6 Rg) by construction. The abstract's claim that 'the theoretical results are in good agreement with observations' and 'indicating the validation of our model' thus relies in part on an input that was adjusted to produce that agreement. What remains predictive is only the slope/shape of the A(L2-10keV)-Hcor relation as the reconnection-layer size is varied, and the relative ranking of the (alpha, beta) geometry grid.
full rationale
The paper's central derivation (plasmoid-chain IC radiation from a prescribed reconnection-layer geometry, Eqs. 1-24) is internally self-contained and not an instance of renaming a known result. It builds on external, non-author simulation and theory results (e.g., Lynden-Bell 2003; Beloborodov 2017; Ripperda et al. 2020) rather than on self-citations, so no self-citation load-bearing circularity is present. The circularity concern is concentrated in the observational validation step. First, beta_mag is not predicted; it is fitted to the average observed luminosity and height, so the normalization of the comparison is an input. Second, H_cor is associated with the lamp-post height by assertion, so the x-axis identification is an additional unverified bridge. The model is not completely circular because the slope and geometry dependence of the height-luminosity relation are not fixed by the beta_mag fit, and the paper does examine which (alpha, beta) geometries can or cannot match the observed spread. However, the strength of the validation claim is substantially reduced by the fitted anchor and the definitional height identification. Overall circularity score: 6 (partial circularity).
Assumptions & free parameters
free parameters (6)
- Tower geometry parameters alpha, beta =
alpha = 0.1 to 0.3, beta = 2 to 4 (Table 1)
- Magnetic pressure fraction beta_mag =
5.1e-4 for M2; 3.1e-4 for M1; 7.6e-4 for M9
- Thomson optical depth tau_T =
1
- Plasmoid size ratio coefficient =
0.2
- Push-force efficiency xi =
0.1
- Spectral conversion factor for total to 2-10 keV power =
0.25
assumptions (7)
- domain assumption A large-scale magnetic field is efficiently advected into the innermost disk and accumulates there.
- domain assumption The magnetic tower boundary follows the power-law shape Z/Rg = alpha (Rm/Rg - Rin/Rg)^beta with Rin = 1 Rg.
- domain assumption Plasmoids in the reconnection layer follow a size distribution f(W) proportional to W^-1 with W_max ~ W_c and W_min ~ Larmor radius.
- domain assumption The electron-positron number density is determined by tau_T and W_c alone, with tau_T fixed to 1.
- domain assumption The accretion disk is a standard thin disk with Shakura-Sunyaev flux, even at high accretion rate near the inner region.
- domain assumption The luminosity-weighted mean height H_cor equals the height measured in lamp-post reverberation mapping.
- domain assumption Plasmoids fill the reconnection layer, so the filling factor is unity and can be ignored in Eq. (22).
Cite this review
Pith. "Pith review of A New Interpretation for the Hot Corona in Active Galactic Nuclei." pith.science (2026). https://pith.science/paper/2PBXZRKN
@misc{pith2026250200504,
author = {Pith},
title = {Pith review of: A New Interpretation for the Hot Corona in Active Galactic Nuclei},
year = {2026},
howpublished = {\url{https://pith.science/paper/2PBXZRKN}},
note = {Machine review of arXiv:2502.00504}
}
read the original abstract
This work attempts to provide a new interpretation for the hot corona in active galactic nuclei (AGNs). A thin parabolic magnetic reconnection layer, anchored at the innermost disk and extending along the boundary of the magnetic tower for a few tens of gravitational radii, serves as a hard-X-ray source above the disk. Within this reconnection layer, the tearing instability leads to the formation of a chain of plasmoids, which contain relativistic electrons that generate X-ray radiation through inverse-Compton (IC) scattering of soft photons emitted by the accretion disk. Based on previous theoretical works and numerical simulations, we develop a heuristic framework to parameterize the geometry and magnetization of the reconnection layer, as well as to compute both the power of the IC-scattering radiation and the height of the reconnection layer. Our model allows for a quantitative investigation of the relation between the height of the corona and the X-ray radiation luminosity, which can be directly compared against the observed relation from X-ray reverberation mapping of individual AGNs. The theoretical results are in good agreement with the observations of IRAS 13224-3809, indicating the validation of our model.
Figures
Figures from the paper (5 more)
Reference graph
Works this paper leans on
-
[1]
Alston, W. N., Fabian, A. C., Buisson, D. J. K., et al. 2019, MNRAS, 482, 2088, doi: 10.1093/mnras/sty2527
-
[2]
Alston, W. N., Fabian, A. C., Kara, E., et al. 2020, Nature Astronomy, 4, 597, doi: 10.1038/s41550-019-1002-x 14
-
[3]
2012, ApJL, 745, L28, doi: 10.1088/2041-8205/745/2/L28
Asada, K., & Nakamura, M. 2012, ApJL, 745, L28, doi: 10.1088/2041-8205/745/2/L28
-
[4]
Beloborodov, A. M. 1999, ApJL, 510, L123, doi: 10.1086/311810 —. 2017, ApJ, 850, 141, doi: 10.3847/1538-4357/aa8f4f
doi:10.1086/311810 1999
-
[5]
Bisnovatyi-Kogan, G. S., & Lovelace, R. V . E. 2007, ApJL, 667, L167, doi: 10.1086/522206 Biˇc´ak, J., Karas, V ., & Ledvinka, T. 2007, in Black Holes from Stars to Galaxies – Across the Range of Masses, ed. V . Karas & G. Matt, V ol. 238, 139–144, doi: 10.1017/S1743921307004851
-
[6]
2022, MNRAS, 514, 5141, doi: 10.1093/mnras/stac1682
Blandford, R., & Globus, N. 2022, MNRAS, 514, 5141, doi: 10.1093/mnras/stac1682
-
[7]
Blandford, R. D., & Payne, D. G. 1982, MNRAS, 199, 883, doi: 10.1093/mnras/199.4.883
-
[8]
Blandford, R. D., & Znajek, R. L. 1977, MNRAS, 179, 433, doi: 10.1093/mnras/179.3.433
Show all 64 references
-
[9]
2011, ApJ, 737, 94, doi: 10.1088/0004-637X/737/2/94
Cao, X. 2011, ApJ, 737, 94, doi: 10.1088/0004-637X/737/2/94
2011 doi
-
[10]
Cao, X., & Spruit, H. C. 2013, ApJ, 765, 149, doi: 10.1088/0004-637X/765/2/149
2013 doi
-
[11]
A., Liu, Y
Cassak, P. A., Liu, Y . H., & Shay, M. A. 2017, Journal of Plasma Physics, 83, 715830501, doi: 10.1017/S0022377817000666
2017 doi
-
[12]
Gallo, L. C. 2015, MNRAS, 446, 759, doi: 10.1093/mnras/stu2087
2015 doi
-
[14]
Eracleous, M., Sambruna, R., & Mushotzky, R. F. 2000, ApJ, 537, 654, doi: 10.1086/309076
2000 doi
-
[15]
C., Lohfink, A., Kara, E., et al
Fabian, A. C., Lohfink, A., Kara, E., et al. 2015, MNRAS, 451, 4375, doi: 10.1093/mnras/stv1218
2015 doi
-
[16]
1991, ApJL, 380, L51, doi: 10.1086/186171
Haardt, F., & Maraschi, L. 1991, ApJL, 380, L51, doi: 10.1086/186171
1991 doi
-
[17]
2012, PhRvL, 109, 265002, doi: 10.1103/PhysRevLett.109.265002
Huang, Y .-M., & Bhattacharjee, A. 2012, PhRvL, 109, 265002, doi: 10.1103/PhysRevLett.109.265002
2012 doi
-
[18]
Igumenshchev, I. V . 2008, ApJ, 677, 317, doi: 10.1086/529025
2008 doi
-
[19]
V ., Narayan, R., & Abramowicz, M
Igumenshchev, I. V ., Narayan, R., & Abramowicz, M. A. 2003, ApJ, 592, 1042, doi: 10.1086/375769
2003 doi
-
[20]
R., & Matsumoto, R
Kato, Y ., Hayashi, M. R., & Matsumoto, R. 2004a, ApJ, 600, 338, doi: 10.1086/379752
-
[21]
2004b, ApJ, 605, 307, doi: 10.1086/381234
Kato, Y ., Mineshige, S., & Shibata, K. 2004b, ApJ, 605, 307, doi: 10.1086/381234
-
[22]
S., Vlahakis, N., K¨onigl, A., & Barkov, M
Komissarov, S. S., Vlahakis, N., K¨onigl, A., & Barkov, M. V . 2009, MNRAS, 394, 1182, doi: 10.1111/j.1365-2966.2009.14410.x
2009
-
[23]
S., Reeves, J., et al
Laha, S., Reynolds, C. S., Reeves, J., et al. 2021, Nature Astronomy, 5, 13, doi: 10.1038/s41550-020-01255-2
2021 doi
-
[24]
2014, ApJ, 783, 106, doi: 10.1088/0004-637X/783/2/106
Liu, T., Wang, J.-X., Yang, H., Zhu, F.-F., & Zhou, Y .-Y . 2014, ApJ, 783, 106, doi: 10.1088/0004-637X/783/2/106
2014 doi
-
[25]
F., Schekochihin, A
Loureiro, N. F., Schekochihin, A. A., & Cowley, S. C. 2007, Physics of Plasmas, 14, 100703, doi: 10.1063/1.2783986
2007 doi
-
[26]
Lovelace, R. V . E., Rothstein, D. M., & Bisnovatyi-Kogan, G. S. 2009, ApJ, 701, 885, doi: 10.1088/0004-637X/701/2/885
2009 doi
-
[27]
1996, MNRAS, 279, 389, doi: 10.1093/mnras/279.2.389 —
Lynden-Bell, D. 1996, MNRAS, 279, 389, doi: 10.1093/mnras/279.2.389 —. 2003, MNRAS, 341, 1360, doi: 10.1046/j.1365-8711.2003.06506.x —. 2006, MNRAS, 369, 1167, doi: 10.1111/j.1365-2966.2006.10349.x
1996
-
[28]
2009, ApJ, 698, 1570, doi: 10.1088/0004-637X/698/2/1570
Lyubarsky, Y . 2009, ApJ, 698, 1570, doi: 10.1088/0004-637X/698/2/1570
2009 doi
-
[29]
Lyubarsky, Y . E. 2005, MNRAS, 358, 113, doi: 10.1111/j.1365-2966.2005.08767.x
2005
-
[30]
M., & Poutanen, J
Malzac, J., Beloborodov, A. M., & Poutanen, J. 2001, MNRAS, 326, 417, doi: 10.1046/j.1365-8711.2001.04450.x
2001
-
[31]
J., Alonso-Herrero, A., et al
Mateos, S., Carrera, F. J., Alonso-Herrero, A., et al. 2015, MNRAS, 449, 1422, doi: 10.1093/mnras/stv299
2015 doi
-
[32]
C., Tchekhovskoy, A., & Blandford, R
McKinney, J. C., Tchekhovskoy, A., & Blandford, R. D. 2012, MNRAS, 423, 3083, doi: 10.1111/j.1365-2966.2012.21074.x
2012
-
[33]
P., Walker, R
Mertens, F., Lobanov, A. P., Walker, R. C., & Hardee, P. E. 2016, A&A, 595, A54, doi: 10.1051/0004-6361/201628829
2016 doi
-
[34]
2013, MNRAS, 433, 1687, doi: 10.1093/mnras/stt844
Molina, M., Bassani, L., Malizia, A., et al. 2013, MNRAS, 433, 1687, doi: 10.1093/mnras/stt844
2013 doi
- [35]
-
[36]
1995, ApJ, 452, 710, doi: 10.1086/176343
Narayan, R., & Yi, I. 1995, ApJ, 452, 710, doi: 10.1086/176343
1995 doi
-
[37]
Neupert, W. M. 1968, ApJL, 153, L59, doi: 10.1086/180220
1968 doi
-
[38]
Pal, I., & Stalin, C. S. 2023, MNRAS, 518, 2529, doi: 10.1093/mnras/stac3254
2023 doi
-
[39]
D., Laor, A., et al
Panessa, F., Baldi, R. D., Laor, A., et al. 2019, Nature Astronomy, 3, 387, doi: 10.1038/s41550-019-0765-4
2019 doi
-
[40]
Parfrey, K., Giannios, D., & Beloborodov, A. M. 2015, MNRAS, 446, L61, doi: 10.1093/mnrasl/slu162
2015 doi
-
[41]
L., et al
Pasetto, A., Carrasco-Gonz´alez, C., G´omez, J. L., et al. 2021, ApJL, 923, L5, doi: 10.3847/2041-8213/ac3a88
2021 doi
-
[42]
2021, Universe, 7, 202, doi: 10.3390/universe7060202
Piotrovich, M., Buliga, S., & Natsvlishvili, T. 2021, Universe, 7, 202, doi: 10.3390/universe7060202
2021 doi
-
[43]
2001, Black hole gravitohydromagnetics
Punsly, B. 2001, Black hole gravitohydromagnetics
2001
-
[44]
Ricci, C., Walter, R., Courvoisier, T. J. L., & Paltani, S. 2011, A&A, 532, A102, doi: 10.1051/0004-6361/201016409
2011 doi
-
[45]
Ripperda, B., Bacchini, F., & Philippov, A. A. 2020, ApJ, 900, 100, doi: 10.3847/1538-4357/ababab
2020 doi
-
[46]
B., & Lightman, A
Rybicki, G. B., & Lightman, A. P. 1979, Radiative processes in astrophysics
1979
- [47]
-
[48]
I., & Sunyaev, R
Shakura, N. I., & Sunyaev, R. A. 1973, A&A, 24, 337 15
1973
-
[49]
D., & Lynden-Bell, D
Sherwin, B. D., & Lynden-Bell, D. 2007, MNRAS, 378, 409, doi: 10.1111/j.1365-2966.2007.11791.x
2007
-
[50]
Sikora, M., & Begelman, M. C. 2013, ApJL, 764, L24, doi: 10.1088/2041-8205/764/2/L24
2013 doi
-
[51]
Sironi, L., & Beloborodov, A. M. 2020, ApJ, 899, 52, doi: 10.3847/1538-4357/aba622
2020 doi
-
[52]
2016, MNRAS, 462, 48, doi: 10.1093/mnras/stw1620
Sironi, L., Giannios, D., & Petropoulou, M. 2016, MNRAS, 462, 48, doi: 10.1093/mnras/stw1620
2016 doi
-
[53]
H., et al
Soldi, S., Beckmann, V ., Baumgartner, W. H., et al. 2014, A&A, 563, A57, doi: 10.1051/0004-6361/201322653
2014 doi
-
[54]
Spruit, H. C. 1996, in NATO Advanced Study Institute (ASI) Series C, V ol. 477, Evolutionary Processes in Binary Stars, ed. R. A. M. J. Wijers, M. B. Davies, & C. A. Tout, 249–286
1996
-
[55]
C., & Uzdensky, D
Spruit, H. C., & Uzdensky, D. A. 2005, ApJ, 629, 960, doi: 10.1086/431454
2005 doi
-
[56]
Sridhar, N., Sironi, L., & Beloborodov, A. M. 2021, MNRAS, 507, 5625, doi: 10.1093/mnras/stab2534 —. 2023, MNRAS, 518, 1301, doi: 10.1093/mnras/stac2730
2021 doi
-
[57]
C., & Narayan, R
Tchekhovskoy, A., McKinney, J. C., & Narayan, R. 2008, MNRAS, 388, 551, doi: 10.1111/j.1365-2966.2008.13425.x
2008
-
[58]
A., Loureiro, N
Uzdensky, D. A., Loureiro, N. F., & Schekochihin, A. A. 2010, PhRvL, 105, 235002, doi: 10.1103/PhysRevLett.105.235002
2010 doi
-
[59]
A., Nandra, K., & Strohmayer, T
Vaughan, S., Uttley, P., Pounds, K. A., Nandra, K., & Strohmayer, T. E. 2011, MNRAS, 413, 2489, doi: 10.1111/j.1365-2966.2011.18319.x
2011
-
[60]
Wald, R. M. 1984, General Relativity
1984
-
[61]
Wilkins, D. R. 2023, MNRAS, 526, 3441, doi: 10.1093/mnras/stad2936
2023 doi
-
[62]
R., & Gallo, L
Wilkins, D. R., & Gallo, L. C. 2015, MNRAS, 448, 703, doi: 10.1093/mnras/stu2524
2015 doi
-
[63]
Johnson, W. N. 1998, MNRAS, 299, 449, doi: 10.1046/j.1365-8711.1998.01831.x
1998
-
[64]
L., Begelman, M
Zakamska, N. L., Begelman, M. C., & Blandford, R. D. 2008, ApJ, 679, 990, doi: 10.1086/587870
2008 doi
-
[65]
1995, ApJL, 438, L63, doi: 10.1086/187716
McNaron-Brown, K. 1995, ApJL, 438, L63, doi: 10.1086/187716
1995 doi
Reviewed August 9, 2026 · model on record in the stance chip above.
Discussion (0). Continue with ORCID to comment.