REVIEW 3 major objections 6 minor 88 references
A Spectral Energy Distribution Variability Study of the Eclipsing AGN NGC 6814
T0 review · 3 major / 6 minor · reviewed 2026-08-07 · deepseek-v4-flash
Pith's one-line read Using a decade of Swift optical-to-X-ray data, this paper finds that the accretion disk in NGC 6814 is consistently better fit with an inner radius of roughly 60–270 gravitational radii, far beyond the innermost stable circular orbit…
desk verdict The large inner disk radius is real for 2022 and 2016, but the 2012 measurement is too thin to carry the 'all epochs' and moving-radius story; still worth publishing with caveats. 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 machinery is the inner radius parameter $R_{\rm in}$ of the ntdisk model, a custom xspec implementation of the Novikov–Thorne general-relativistic disk temperature profile. ntdisk takes black hole mass, accretion rate, spin, inner and outer disk radii, inclination, a color-temperature correction factor, and the source distance, and it is paired with nthcomp Comptonization for the corona, absorbers, a Balmer continuum, a photoionized emitter, an Fe K-$\alpha$ line, and a host galaxy template. The argument proceeds by comparing fits with $R_{\rm in}$ free versus fixed at the ISCO using the corrected Akaike information criterion (AICc), where a difference of 6 is taken as significant; leaving $R_{\rm in}$ free improves the fit by hundreds to thousands of AICc units in every epoch. In the simultaneous three-epoch fit, the black hole mass, warm absorber, Balmer continuum, Fe K-$\alpha$ line, and host galaxy are tied across epochs to constrain the shared parameters.
What would settle it
A decisive test would be a high-signal-to-noise X-ray observation of NGC 6814 that detects blurred reflection or a reverberation lag requiring the reflector to be at the ISCO, which would contradict inner radii of 60–270 $R_g$; alternatively, additional UV filters in a re-observation of the 2012 state that recover $R_{\rm in}$ near the ISCO would falsify the large-radius claim for that epoch.
Extended reading notes
Core claim
On its own terms, the paper's discovery is that the optical-to-X-ray spectral energy distribution of NGC 6814 is, at every observed epoch, significantly better described by an accretion disk whose inner edge is far outside the innermost stable circular orbit. In a simultaneous fit to the 2012, 2016, and 2022 average spectra, the free inner radius converges to $R_{\rm in}=58\pm 7\,R_g$ in 2022, $100\pm 10\,R_g$ in 2016, and $270\pm 30\,R_g$ in 2012, with an Eddington-scaled accretion rate of about $0.01$–$0.1$ and a black hole mass of $\log(M_{\rm BH}/M_\odot)\approx 7.66$. Fixing $R_{\rm in}$ at the ISCO worsens the fit by thousands of AICc units, and the large-radius preference survives across four alternative continuum models (agnsed, diskbb+nthcomp, a broken power law plus ntdisk, and simpl plus ntdisk). The authors interpret the result as evidence for a non-standard accretion disk or an inflated central structure, consistent with the absence of strong blurred reflection and with the measured X-ray/UV lags.
Load-bearing premise
The load-bearing premise is that the ntdisk model, with spin fixed to maximal, inclination to 60 degrees, and color-correction factor to 1.7, correctly maps the observed UVOT fluxes to an inner disk radius; this is especially fragile for 2012, where only V and UVW1 filters were available, V is host-dominated, and the accretion rate had to be tied across segments because the free fit gave inconsistent values.
Editorial extensions
If this is right
- If the large inner radii are real, the standard assumption that the disk reaches the ISCO fails for NGC 6814, and the innermost region may be a truncated disk or an inflated flow rather than a standard thin disk.
- The measured radii link the SED result to independent data: they are consistent with the lack of strong blurred reflection and with the observed X-ray/UV lags, so the disk-edge inference is not an isolated fit artifact.
- The inner edge appears to move by roughly 200 $R_g$ between 2012 and 2022, implying that the truncation radius can change on timescales much shorter than the standard viscous time unless the disk is far thicker than the usual $h/r \sim 0.01$.
- An inflated inner disk provides a natural physical setting for NGC 6814's recurring eclipses and changing-look behavior, potentially connecting the SED finding to the source's known long-term phenomenology.
- Continued high-cadence, multi-band UV/optical monitoring could track $R_{\rm in}$ within a single campaign and test whether the disk edge migrates on dynamical timescales.
Reading between the lines
- Inference: If large inner disk radii turn out to be common in Seyferts, then SED fits that naively assume $R_{\rm in} = R_{\rm ISCO}$ may systematically underestimate black hole spin or misestimate accretion rates, so the present result is a caution for the wider population.
- Inference: The 2012 measurement of $R_{\rm in} \approx 270\,R_g$ is strongly anti-correlated with the cold absorber column density, so the two may be partially degenerate; a re-analysis with better UV band coverage could break that degeneracy and is a concrete next step.
- Inference: An inflated inner structure suggests that a future high-resolution X-ray observation during an eclipse, analogous to the 2016 XMM-Newton campaign, could spatially map the inner disk edge and directly test the truncation geometry.
- Inference: The idea that the disk edge moves with changing accretion rate mirrors state-transition behavior seen in X-ray binaries; if the relation between $\dot{m}$ and $R_{\rm in}$ in NGC 6814 follows a similar pattern, that would strengthen the analogy between AGN and stellar-mass black holes.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. NGC 6814 is observed with Swift UVOT/XRT over 2012, 2016, 2019, 2021, and 2022; the paper combines DCF, PCA, and fractional-variability diagnostics with broadband SED fitting using a custom ntdisk + nthcomp continuum plus warm/cold absorbers, Balmer continuum, host galaxy, and photoionized emitter. The three high-cadence epochs are fit individually and simultaneously; Table 2 reports Rin = 58 +/- 7 Rg (2022), 100 +/- 10 Rg (2016), and 270 +/- 30 Rg (2012), all much larger than the ISCO, with enormous AICc improvements over fixing Rin at the ISCO. The authors conclude that all epochs favor a disk inner radius far beyond the ISCO, possibly indicating a non-standard disk or inflated central structure, while noting the corona is compact and consistent with eclipse and time-delay constraints.
Significance. The result, if correct, is significant for accretion-disk models in type 1 Seyferts because it challenges the usual assumption that the disk extends to the ISCO and ties together observed compact coronae, eclipses, and changing-look behavior. The paper's strengths include the use of publicly available Swift data, the explicit model-independent variability analysis (DCF, PCA, F_var), the simultaneous multi-epoch fitting, and the reported tests of alternate continuum models. The main limitations are that the key ntdisk model is unpublished, fixed model parameters (spin, inclination, f_col) are not varied in a sensitivity study, and the 2012 epoch with the largest Rin is constrained by only one effective UV filter with a tied accretion rate. These are addressable with additional analysis and clearer caveats.
major comments (3)
- [§4.1, Table 2, §7.2] The central claim that Rin >> ISCO in all epochs relies on the custom ntdisk model (Gonzalez et al., in prep) with maximal spin, inclination fixed to 60 degrees, and f_col fixed to 1.7. No derivation, validation, or code release for this model is provided, and no sensitivity analysis shows how Rin changes when spin, inclination, or f_col are varied over reasonable ranges. Because Table 2's Rin values (58, 100, and 270 Rg) and the Section 7.2/8 conclusions are direct outputs of this model, the result is not independently checkable as written. Please supply the ntdisk model description or reference and a systematic grid demonstrating that Rin remains above the ISCO under plausible variations of these fixed parameters.
- [§5.3, Table 3] The 2012 epoch has the largest Rin (270 +/- 30 Rg in Table 2; 282 +/- 56 Rg in Table 3) but is constrained by only V and UVW1; since Section 5.3 states the V band is host-dominated, the disk parameters are effectively constrained by one UV photometric point. The accretion rate is tied across segments because the free fit produces disk values inconsistent with the low observed flux. With mdot tied and with M, host-galaxy normalization, and Balmer-continuum normalization linked to the 2022 fit, Rin is mapped almost one-to-one from the UVW1 flux rather than from a spectral shape; any epoch-dependent error in host-galaxy subtraction, Balmer continuum, or the assumed UV slope shifts Rin directly. The statistical errors in the tables do not capture these systematics. Please add a systematic test for 2012 (e.g., varying host normalization, Balmer normalization, and alpha_u within plausible ranges and showing Rin remains > ISCO with the 2012 data alone), or explicitly state in Section 8 that the 2012 Rin is not an independent measurement.
- [§4.2–4.4, §7.2] The assertion in Section 7.2 that the large Rin values are 'robust and independent of the continuum model used' is not supported by reported numbers. The text lists agnsed, diskbb+nthcomp, broken power law+ntdisk, and simpl+ntdisk as tested alternatives, but gives no Rin values, fit statistics, or ΔAICc values for these models. Given that the AICc improvements over fixing the ISCO are enormous (>2000, 5642, and 6059 in Sections 4.2–4.4), it is important to show whether these alternatives also prefer Rin >> ISCO and by how much. Please include a summary table of the alternative-model Rin values and their ΔAICc relative to the ISCO-frozen version.
minor comments (6)
- [§3.3] The text says the PCA input data set uses 'the daily spectra as the input data set for 2016 and 2021'; given the epoch list, this should be 2016 and 2022.
- [Figure 2 caption] The green right-pointing triangle is labelled '2018' in the caption, but the text and Table 1 list the single observation as 2019; please correct the label.
- [Figure 1 caption and §3.1] The text states 90 and 95 percent significance contours on the DCF plots, while the Figure 1 caption says 90 and 99 percent; please harmonize the significance levels.
- [§4.1] The base model expression ends with four 'agauss' components that are not described in the text; the Fe K-alpha line is already included as 'zgauss'. Please clarify what these Gaussians represent or remove the unused terms.
- [Table 3 caption] The 2012 errors are the standard deviation of the segmented fits, while the 2022 and 2016 errors are propagated fit uncertainties; these are different quantities and should not be compared as equivalent 1-sigma errors. Please state this distinction explicitly or use a common estimator.
- [§3.2, Eq. (1)] The alpha_ox measurements use alpha_u = -2 measured from the 2022 average for all other epochs, and the 2019/2021 points use a 2022-based count-rate-to-flux conversion; the systematic uncertainty from these assumptions should be propagated into the alpha_ox errors or discussed as a caveat in Section 3.2.
Circularity Check
No circular derivation: the large R_in values are fitted parameters compared against an ISCO-frozen model, not inputs renamed as predictions.
full rationale
The paper's central claim is that the SED fits require R_in ~58-270 Rg. This is a fitted parameter of the ntdisk+nthcomp model, not a quantity predicted from a prior fit. The authors explicitly test the competing assumption by freezing R_in at the ISCO and comparing AICc values, reporting very large Delta AICc values, and they state that the large R_in persists across alternative continuum models (agnsed, diskbb+nthcomp, broken power law+ntdisk, simpl+ntdisk). The result is therefore not equivalent by construction to a single model choice. The reliance on the in-preparation ntdisk model and on prior papers by the same group (Gonzalez et al. 2024 for f_col=1.7 and the host template; Gallo et al. 2021 for spin and inclination; Pottie et al. 2023 for eclipse identifications) is a provenance and reproducibility concern, but those citations do not assert the target result: they set model priors or identify epochs. No equation or fitted value is redefined as a prediction, and no uniqueness claim is imported from the authors' prior work. The paper itself flags the main data-quality limitation in Section 5.3: 'we effectively have only one filter to constrain the disk parameters, for this reason we favour the model with the tied accretion rate.' This makes the 2012 R_in=270 +/- 30 Rg weakly constrained, but that is a degeneracy and data-quality risk, not a circular step. Overall, no significant circularity is found.
Assumptions & free parameters
free parameters (7)
- Black hole mass log(M_BH/M_sun) =
7.66 +/- 0.05 (tied across epochs)
- Eddington accretion rate mdot/mdot_Edd =
0.013 (2022), 0.09 (2016), 0.03 (2012)
- Inner disk radius R_in =
58 +/- 7 Rg (2022), 100 +/- 10 Rg (2016), 270 +/- 30 Rg (2012)
- Corona photon index Gamma =
1.783 (2022), 2.03 (2016), 1.74 (2012)
- Warm absorber column density (xabs) =
0.128e24 cm^-2 (2022), 1.0e24 cm^-2 (2016)
- Cold absorber column density (ztbabs, 2012) =
0.11e22 cm^-2 (average), 0.2e22 cm^-2 (segments)
- Partial coverer covering fraction (2016) =
0.59 +/- 0.04 (average), 0.51 +/- 0.06 (daily)
assumptions (9)
- standard math Standard thin disk temperature profile, T propto R^{-3/4}, as in Shakura and Sunyaev (1973) and Novikov and Thorne (1973), underlies ntdisk.
- domain assumption The corona is described by thermal Comptonization (nthcomp), with seed photon temperature and electron temperature fixed at 0.01 keV and 60 keV.
- domain assumption Black hole spin is fixed to maximal and inclination to 60 degrees (Gallo et al. 2021).
- domain assumption Colour-temperature correction factor f_col=1.7 from X-ray binaries is applied to the disk model.
- domain assumption Distance to NGC 6814 is fixed at 21.65 Mpc from Bentz et al. (2019).
- ad hoc to paper The xstar table used for the photoionized emitter has column density fixed at nH=1e24 cm^-2 and density n=1e10 cm^-3.
- ad hoc to paper For 2012, only V and UVW1 filters were available; the disk parameters are constrained by one effective UV filter and the accretion rate is tied across segments.
- ad hoc to paper UV spectral slope alpha_u=-2 measured from the 2022 average is assumed for other epochs, and 2019 and 2021 alpha_ox values use a 2022-based count-rate to flux conversion.
- domain assumption Time delays between UV and X-ray are ignored when fitting SEDs because the DCF shows near-zero lag.
Cite this review
Pith. "Pith review of A Spectral Energy Distribution Variability Study of the Eclipsing AGN NGC 6814." pith.science (2026). https://pith.science/paper/JQFTSNO5
@misc{pith2026250607212,
author = {Pith},
title = {Pith review of: A Spectral Energy Distribution Variability Study of the Eclipsing AGN NGC 6814},
year = {2026},
howpublished = {\url{https://pith.science/paper/JQFTSNO5}},
note = {Machine review of arXiv:2506.07212}
}
read the original abstract
The local Seyfert 1.5 active galactic nucleus (AGN), NGC 6814, is known to exhibit complex variability, eclipses, and even changing-look behaviour. In this work, we utilize optical-to-X-ray data obtained over 10-years with the Neil Gehrels Swift Observatory to examine the short-term (i.e. daily) and long-term (yearly) variations in the spectral energy distribution (SED). This includes three epochs of high-cadence monitoring (2012, 2016, and 2022), as well as two single observations (2019 and 2021). Model-independent methods of examining the variability suggest that the three monitored epochs exhibit distinct behaviour. X-ray weakness in 2016 can be attributed to the previously studied eclipses, while similar behaviour in 2012 is associated with continuum changes and slight neutral absorption. The multi-epoch SED models are consistent with a black hole (log (MBH / Msun) ~7.6) that is accreting between 0.01-0.1 of the Eddington rate. While the corona (primary X-ray source) is compact, all epochs are better fit with an accretion disk inner radius that is much larger than the innermost stable circular orbit, implying the possibility of a non-standard accretion disk or central structure in NGC 6814.
Figures
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Reference graph
Works this paper leans on
-
[1]
write newline
" write newline "" before.all 'output.state := FUNCTION fin.entry write newline FUNCTION new.block output.state before.all = 'skip after.block 'output.state := if FUNCTION new.sentence output.state after.block = 'skip output.state before.all = 'skip after.sentence 'output.state := if if FUNCTION not #0 #1 if FUNCTION and 'skip pop #0 if FUNCTION or pop #1...
-
[2]
Akaike H., 1974, A New Look at the Statistical Model Identification. Springer New York, New York, NY, pp 215--222, @doi 10.1007/978-1-4612-1694-0_16 , https://doi.org/10.1007/978-1-4612-1694-0_16
-
[3]
Alston W. N., 2019, @doi [ ] 10.1093/mnras/stz423 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.485..260A 485, 260
-
[4]
A., 1996, in Jacoby G
Arnaud K. A., 1996, in Jacoby G. H., Barnes J., eds, Astronomical Society of the Pacific Conference Series Vol. 101, Astronomical Data Analysis Software and Systems V. p. 17
1996
-
[5]
Barthelmy S. D., et al., 2005, @doi [ ] 10.1007/s11214-005-5096-3 , https://ui.adsabs.harvard.edu/abs/2005SSRv..120..143B 120, 143
-
[6]
Bentz M. C., et al., 2009, @doi [ ] 10.1088/0004-637X/705/1/199 , https://ui.adsabs.harvard.edu/abs/2009ApJ...705..199B 705, 199
-
[7]
Bentz M. C., et al., 2010, @doi [ ] 10.1088/0004-637X/716/2/993 , https://ui.adsabs.harvard.edu/abs/2010ApJ...716..993B 716, 993
-
[8]
Bentz M. C., Ferrarese L., Onken C. A., Peterson B. M., Valluri M., 2019, @doi [The Astrophysical Journal] 10.3847/1538-4357/ab48fb , 885, 161
Show all 88 references
- [9]
-
[10]
Buisson D. J. K., Lohfink A. M., Alston W. N., Fabian A. C., 2017, @doi [ ] 10.1093/mnras/stw2486 , https://ui.adsabs.harvard.edu/abs/2017MNRAS.464.3194B 464, 3194
2017 doi
-
[11]
N., et al., 2005, @doi [ ] 10.1007/s11214-005-5097-2 , https://ui.adsabs.harvard.edu/abs/2005SSRv..120..165B 120, 165
Burrows D. N., et al., 2005, @doi [ ] 10.1007/s11214-005-5097-2 , https://ui.adsabs.harvard.edu/abs/2005SSRv..120..165B 120, 165
2005 doi
-
[12]
Cash W., 1979, @doi [ ] 10.1086/156922 , https://ui.adsabs.harvard.edu/abs/1979ApJ...228..939C 228, 939
1979 doi
-
[14]
A., Krolik J
Edelson R. A., Krolik J. H., 1988, @doi [ ] 10.1086/166773 , https://ui.adsabs.harvard.edu/abs/1988ApJ...333..646E 333, 646
1988 doi
-
[15]
J., Pounds K., Vaughan S., Markowitz A., Marshall H., Dobbie P., Warwick R., 2002, @doi [ ] 10.1086/323779 , https://ui.adsabs.harvard.edu/abs/2002ApJ...568..610E 568, 610
Edelson R., Turner T. J., Pounds K., Vaughan S., Markowitz A., Marshall H., Dobbie P., Warwick R., 2002, @doi [ ] 10.1086/323779 , https://ui.adsabs.harvard.edu/abs/2002ApJ...568..610E 568, 610
2002 doi
-
[16]
A., et al., 2009, @doi [ ] 10.1111/j.1365-2966.2009.14913.x , https://ui.adsabs.harvard.edu/abs/2009MNRAS.397.1177E 397, 1177
Evans P. A., et al., 2009, @doi [ ] 10.1111/j.1365-2966.2009.14913.x , https://ui.adsabs.harvard.edu/abs/2009MNRAS.397.1177E 397, 1177
2009
-
[17]
D., Babu Gutti Jogesh ., 2015, Modern Statistical Methods for Astronomy: With R applications
Feigelson E. D., Babu Gutti Jogesh ., 2015, Modern Statistical Methods for Astronomy: With R applications. Cambridge University Press
2015
-
[18]
Fiore F., Massaro E., Barone P., 1992, , https://ui.adsabs.harvard.edu/abs/1992A&A...261..405F 261, 405
1992
-
[19]
W., Lang D., Goodman J., 2013, @doi [ ] 10.1086/670067 , https://ui.adsabs.harvard.edu/abs/2013PASP..125..306F 125, 306
Foreman-Mackey D., Hogg D. W., Lang D., Goodman J., 2013, @doi [ ] 10.1086/670067 , https://ui.adsabs.harvard.edu/abs/2013PASP..125..306F 125, 306
2013 doi
-
[20]
C., Parker M
Gallant D., Gallo L. C., Parker M. L., 2018, @doi [ ] 10.1093/mnras/sty1987 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.480.1999G 480, 1999
2018 doi
-
[21]
C., 2006, @doi [ ] 10.1111/j.1365-2966.2006.10137.x , https://ui.adsabs.harvard.edu/abs/2006MNRAS.368..479G 368, 479
Gallo L. C., 2006, @doi [ ] 10.1111/j.1365-2966.2006.10137.x , https://ui.adsabs.harvard.edu/abs/2006MNRAS.368..479G 368, 479
2006
-
[22]
C., Blue D
Gallo L. C., Blue D. M., Grupe D., Komossa S., Wilkins D. R., 2018, @doi [ ] 10.1093/mnras/sty1134 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.478.2557G 478, 2557
2018 doi
-
[23]
C., Gonzalez A
Gallo L. C., Gonzalez A. G., Miller J. M., 2021, @doi [ ] 10.3847/2041-8213/abdcb5 , https://ui.adsabs.harvard.edu/abs/2021ApJ...908L..33G 908, L33
2021 doi
-
[24]
C., Buhariwalla M
Gallo L. C., Buhariwalla M. Z., Jiang J., D'Ammando F., Walton D. J., 2022, @doi [ ] 10.1093/mnras/stac1873 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.515.2208G 515, 2208
2022 doi
-
[25]
C., Miller J
Gallo L. C., Miller J. M., Costantini E., 2023, Active galactic nuclei with high-resolution X-ray spectroscopy ( @eprint arXiv 2302.10930 ), https://arxiv.org/abs/2302.10930
2023 arXiv
-
[26]
Gehrels N., et al., 2004, @doi [ ] 10.1086/422091 , https://ui.adsabs.harvard.edu/abs/2004ApJ...611.1005G 611, 1005
2004 doi
-
[27]
G., Gallo L
Gonzalez A. G., Gallo L. C., Miller J. M., Kammoun E. S., Ghosh A., Pottie B. A., 2024, @doi [ ] 10.1093/mnras/stad3549 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.527.5569G 527, 5569
2024 doi
-
[28]
A., 1982, @doi [ ] 10.1086/159799 , https://ui.adsabs.harvard.edu/abs/1982ApJ...255...25G 255, 25
Grandi S. A., 1982, @doi [ ] 10.1086/159799 , https://ui.adsabs.harvard.edu/abs/1982ApJ...255...25G 255, 25
1982 doi
-
[29]
M., Page K
Grupe D., Komossa S., Leighly K. M., Page K. L., 2010, @doi [ ] 10.1088/0067-0049/187/1/64 , https://ui.adsabs.harvard.edu/abs/2010ApJS..187...64G 187, 64
2010 doi
-
[30]
Haardt F., Maraschi L., 1993, @doi [ ] 10.1086/173020 , https://ui.adsabs.harvard.edu/abs/1993ApJ...413..507H 413, 507
1993 doi
-
[31]
M., Tsai C.-L., 1989, Biometrika, 76, 297
Hurvich C. M., Tsai C.-L., 1989, Biometrika, 76, 297
1989
-
[32]
W., Gaskell C
Jaffarian G. W., Gaskell C. M., 2020, @doi [ ] 10.1093/mnras/staa262 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.493..930J 493, 930
2020 doi
-
[33]
Jin C., Ward M., Done C., 2012, @doi [ ] 10.1111/j.1365-2966.2012.21272.x , https://ui.adsabs.harvard.edu/abs/2012MNRAS.425..907J 425, 907
2012
-
[34]
W., Brandt W
Just D. W., Brandt W. N., Shemmer O., Steffen A. T., Schneider D. P., Chartas G., Garmire G. P., 2007, @doi [ ] 10.1086/519990 , https://ui.adsabs.harvard.edu/abs/2007ApJ...665.1004J 665, 1004
2007 doi
-
[35]
S., Raassen A
Kaastra J. S., Raassen A. J. J., de Plaa J., Gu L., 2024, SPEX X-ray spectral fitting package, @doi 10.5281/zenodo.12771915 , https://doi.org/10.5281/zenodo.12771915
2024 doi
-
[36]
Kallman T., Bautista M., 2001, @doi [The Astrophysical Journal Supplement Series] 10.1086/319184 , 133, 221
2001 doi
-
[37]
S., Papadakis I
Kammoun E. S., Papadakis I. E., Dov c iak M., 2021, @doi [ ] 10.1093/mnras/stab725 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.503.4163K 503, 4163
2021 doi
-
[38]
E., Dov c iak M., Panagiotou C., 2024, @doi [ ] 10.1051/0004-6361/202348686 , https://ui.adsabs.harvard.edu/abs/2024A&A...686A..69K 686, A69
Kammoun E., Papadakis I. E., Dov c iak M., Panagiotou C., 2024, @doi [ ] 10.1051/0004-6361/202348686 , https://ui.adsabs.harvard.edu/abs/2024A&A...686A..69K 686, A69
2024 doi
-
[39]
Kang J.-L., Wang J.-X., Fu S.-Q., 2023, @doi [ ] 10.1093/mnras/stad2364 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.525.1941K 525, 1941
2023 doi
-
[40]
S., Netzer H., Maoz D., Jannuzi B
Kaspi S., Smith P. S., Netzer H., Maoz D., Jannuzi B. T., Giveon U., 2000, @doi [ ] 10.1086/308704 , https://ui.adsabs.harvard.edu/abs/2000ApJ...533..631K 533, 631
2000 doi
-
[41]
Kubota A., Done C., 2018, @doi [ ] 10.1093/mnras/sty1890 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.480.1247K 480, 1247
2018 doi
-
[42]
P., Abramowicz M
Lasota J. P., Abramowicz M. A., Chen X., Krolik J., Narayan R., Yi I., 1996, @doi [ ] 10.1086/177137 , https://ui.adsabs.harvard.edu/abs/1996ApJ...462..142L 462, 142
1996 doi
-
[43]
Leighly K., Kunieda H., Tsusaka Y., Awaki H., Tsuruta S., 1994, @doi [ ] 10.1086/173626 , https://ui.adsabs.harvard.edu/abs/1994ApJ...421...69L 421, 69
1994 doi
-
[44]
M., Halpern J
Leighly K. M., Halpern J. P., Jenkins E. B., Grupe D., Choi J., Prescott K. B., 2007, @doi [ ] 10.1086/518017 , https://ui.adsabs.harvard.edu/abs/2007ApJ...663..103L 663, 103
2007 doi
-
[45]
L., Homan D
Lister M. L., Homan D. C., Kovalev Y. Y., Mandal S., Pushkarev A. B., Siemiginowska A., 2020, @doi [ ] 10.3847/1538-4357/aba18d , https://ui.adsabs.harvard.edu/abs/2020ApJ...899..141L 899, 141
2020 doi
-
[46]
Lusso E., Risaliti G., 2016, @doi [ ] 10.3847/0004-637X/819/2/154 , https://ui.adsabs.harvard.edu/abs/2016ApJ...819..154L 819, 154
2016 doi
-
[47]
Markowitz A., Edelson R., Vaughan S., 2003, @doi [ ] 10.1086/379103 , https://ui.adsabs.harvard.edu/abs/2003ApJ...598..935M 598, 935
2003 doi
-
[48]
Mehdipour M., et al., 2011, @doi [ ] 10.1051/0004-6361/201116875 , https://ui.adsabs.harvard.edu/abs/2011A&A...534A..39M 534, A39
2011 doi
-
[49]
Mehdipour M., et al., 2015, @doi [ ] 10.1051/0004-6361/201425373 , https://ui.adsabs.harvard.edu/abs/2015A&A...575A..22M 575, A22
2015 doi
-
[50]
N., 2017, @doi [ ] 10.1051/0004-6361/201730484 , https://ui.adsabs.harvard.edu/abs/2017A&A...603A.128N 603, A128
Nanni R., Vignali C., Gilli R., Moretti A., Brandt W. N., 2017, @doi [ ] 10.1051/0004-6361/201730484 , https://ui.adsabs.harvard.edu/abs/2017A&A...603A.128N 603, A128
2017 doi
-
[51]
Narayan R., Yi I., 1994, @doi [ ] 10.1086/187381 , https://ui.adsabs.harvard.edu/abs/1994ApJ...428L..13N 428, L13
1994 doi
-
[52]
M., Ivezi \'c Z ., Elitzur M., 2008, @doi [ ] 10.1086/590482 , https://ui.adsabs.harvard.edu/abs/2008ApJ...685..147N 685, 147
Nenkova M., Sirocky M. M., Ivezi \'c Z ., Elitzur M., 2008, @doi [ ] 10.1086/590482 , https://ui.adsabs.harvard.edu/abs/2008ApJ...685..147N 685, 147
2008 doi
-
[53]
Netzer H., Laor A., 1993, @doi [ ] 10.1086/186741 , https://ui.adsabs.harvard.edu/abs/1993ApJ...404L..51N 404, L51
1993 doi
-
[54]
D., Thorne K
Novikov I. D., Thorne K. S., 1973, in Dewitt C., Dewitt B. S., eds, Black Holes (Les Astres Occlus). pp 343--450
1973
-
[55]
Oh K., et al., 2018, @doi [ ] 10.3847/1538-4365/aaa7fd , https://ui.adsabs.harvard.edu/abs/2018ApJS..235....4O 235, 4
2018 doi
-
[56]
N., Thorne K
Page D. N., Thorne K. S., 1974, @doi [ ] 10.1086/152990 , https://ui.adsabs.harvard.edu/abs/1974ApJ...191..499P 191, 499
1974 doi
-
[57]
E., Nicastro F., Panagiotou C., 2016, @doi [ ] 10.1051/0004-6361/201527497 , https://ui.adsabs.harvard.edu/abs/2016A&A...591A.102P 591, A102
Papadakis I. E., Nicastro F., Panagiotou C., 2016, @doi [ ] 10.1051/0004-6361/201527497 , https://ui.adsabs.harvard.edu/abs/2016A&A...591A.102P 591, A102
2016 doi
-
[58]
J., Woo J.-H., Malkan M
Park D., Barth A. J., Woo J.-H., Malkan M. A., Treu T., Bennert V. N., Assef R. J., Pancoast A., 2017, @doi [ ] 10.3847/1538-4357/aa6a53 , https://ui.adsabs.harvard.edu/abs/2017ApJ...839...93P 839, 93
2017 doi
-
[59]
L., Marinucci A., Brenneman L., Fabian A
Parker M. L., Marinucci A., Brenneman L., Fabian A. C., Kara E., Matt G., Walton D. J., 2014, @doi [ ] 10.1093/mnras/stt1925 , https://ui.adsabs.harvard.edu/abs/2014MNRAS.437..721P 437, 721
2014 doi
-
[60]
L., et al., 2019, @doi [ ] 10.1093/mnras/stz2566 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.490..683P 490, 683
Parker M. L., et al., 2019, @doi [ ] 10.1093/mnras/stz2566 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.490..683P 490, 683
2019 doi
-
[61]
M., 1997, An Introduction to Active Galactic Nuclei
Peterson B. M., 1997, An Introduction to Active Galactic Nuclei. Cambridge University Press
1997
-
[62]
Polletta M., et al., 2007, @doi [ ] 10.1086/518113 , https://ui.adsabs.harvard.edu/abs/2007ApJ...663...81P 663, 81
2007 doi
-
[63]
C., Gonzalez A
Pottie B., Gallo L. C., Gonzalez A. G., Miller J. M., 2023, @doi [ ] 10.1093/mnras/stad2449 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.525.3633P 525, 3633
2023 doi
-
[64]
C., Quataert E., 2004, @doi [The Astrophysical Journal] 10.1086/382940 , 606, 173
Ptak A., Terashima Y., Ho L. C., Quataert E., 2004, @doi [The Astrophysical Journal] 10.1086/382940 , 606, 173
2004 doi
-
[65]
Revelle W., 2024, A package for personality, psychometric, and psychological research, https://personality-project.org/r/html/00.psych-package.html
2024
-
[66]
Roming P. W. A., et al., 2005, @doi [ ] 10.1007/s11214-005-5095-4 , https://ui.adsabs.harvard.edu/abs/2005SSRv..120...95R 120, 95
2005 doi
-
[67]
W., 1990, @doi [ ] 10.1093/mnras/245.1.66 , https://ui.adsabs.harvard.edu/abs/1990MNRAS.245...66S 245, 66
Sekiguchi K., Menzies J. W., 1990, @doi [ ] 10.1093/mnras/245.1.66 , https://ui.adsabs.harvard.edu/abs/1990MNRAS.245...66S 245, 66
1990 doi
-
[68]
I., Sunyaev R
Shakura N. I., Sunyaev R. A., 1973, , https://ui.adsabs.harvard.edu/abs/1973A&A....24..337S 24, 337
1973
-
[69]
M., Haynes M
Springob C. M., Haynes M. P., Giovanelli R., Kent B. R., 2005, @doi [ ] 10.1086/431550 , https://ui.adsabs.harvard.edu/abs/2005ApJS..160..149S 160, 149
2005 doi
-
[70]
C., Kaastra J
Steenbrugge K. C., Kaastra J. S., de Vries C. P., Edelson R., 2003, @doi [ ] 10.1051/0004-6361:20030261 , https://ui.adsabs.harvard.edu/abs/2003A&A...402..477S 402, 477
2003 doi
-
[71]
F., Narayan R., McClintock J
Steiner J. F., Narayan R., McClintock J. E., Ebisawa K., 2009, @doi [ ] 10.1086/648535 , https://ui.adsabs.harvard.edu/abs/2009PASP..121.1279S 121, 1279
2009 doi
-
[72]
V., Brandt W
Strateva I. V., Brandt W. N., Schneider D. P., Vanden Berk D. G., Vignali C., 2005, @doi [ ] 10.1086/431247 , https://ui.adsabs.harvard.edu/abs/2005AJ....130..387S 130, 387
2005 doi
-
[73]
A., Truemper J., 1979, @doi [ ] 10.1038/279506a0 , https://ui.adsabs.harvard.edu/abs/1979Natur.279..506S 279, 506
Sunyaev R. A., Truemper J., 1979, @doi [ ] 10.1038/279506a0 , https://ui.adsabs.harvard.edu/abs/1979Natur.279..506S 279, 506
1979 doi
-
[74]
Tan M. Y. J., Biswas R., 2012, @doi [Monthly Notices of the Royal Astronomical Society] 10.1111/j.1365-2966.2011.19969.x , 419, 3292
2012
-
[75]
Tananbaum H., Tucker W., Prestwich A., Remillard R., 1997, @doi [ ] 10.1086/303609 , https://ui.adsabs.harvard.edu/abs/1997ApJ...476...83T 476, 83
1997 doi
-
[76]
F., Mushotzky R
Tennant A. F., Mushotzky R. F., Boldt E. A., Swank J. H., 1981, @doi [ ] 10.1086/159437 , https://ui.adsabs.harvard.edu/abs/1981ApJ...251...15T 251, 15
1981 doi
-
[77]
M., Gallo L
Tripathi S., McGrath K. M., Gallo L. C., Grupe D., Komossa S., Berton M., Kriss G., Longinotti A. L., 2020, @doi [ ] 10.1093/mnras/staa2817 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.499.1266T 499, 1266
2020 doi
-
[78]
M., Bentz M
Troyer J., Starkey D., Cackett E. M., Bentz M. C., Goad M. R., Horne K., Seals J. E., 2016, @doi [ ] 10.1093/mnras/stv2862 , https://ui.adsabs.harvard.edu/abs/2016MNRAS.456.4040T 456, 4040
2016 doi
-
[79]
Ursini F., et al., 2016, @doi [ ] 10.1093/mnras/stw2022 , https://ui.adsabs.harvard.edu/abs/2016MNRAS.463..382U 463, 382
2016 doi
-
[80]
V., Fabian A
Vasudevan R. V., Fabian A. C., 2009, @doi [ ] 10.1111/j.1365-2966.2008.14108.x , https://ui.adsabs.harvard.edu/abs/2009MNRAS.392.1124V 392, 1124
2009
-
[81]
S., Uttley P., 2003, @doi [ ] 10.1046/j.1365-2966.2003.07042.x , https://ui.adsabs.harvard.edu/abs/2003MNRAS.345.1271V 345, 1271
Vaughan S., Edelson R., Warwick R. S., Uttley P., 2003, @doi [ ] 10.1046/j.1365-2966.2003.07042.x , https://ui.adsabs.harvard.edu/abs/2003MNRAS.345.1271V 345, 1271
2003
-
[82]
P., V \'e ron P., 2006, @doi [ ] 10.1051/0004-6361:20065177 , https://ui.adsabs.harvard.edu/abs/2006A&A...455..773V 455, 773
V \'e ron-Cetty M. P., V \'e ron P., 2006, @doi [ ] 10.1051/0004-6361:20065177 , https://ui.adsabs.harvard.edu/abs/2006A&A...455..773V 455, 773
2006 doi
-
[83]
Willingale R., Starling R. L. C., Beardmore A. P., Tanvir N. R., O'Brien P. T., 2013, @doi [ ] 10.1093/mnras/stt175 , https://ui.adsabs.harvard.edu/abs/2013MNRAS.431..394W 431, 394
2013 doi
-
[84]
Wilms J., Allen A., McCray R., 2000, @doi [ ] 10.1086/317016 , https://ui.adsabs.harvard.edu/abs/2000ApJ...542..914W 542, 914
2000 doi
-
[85]
Xu C., Livio M., Baum S., 1999, @doi [ ] 10.1086/301007 , https://ui.adsabs.harvard.edu/abs/1999AJ....118.1169X 118, 1169
1999 doi
-
[86]
C., Xie F.-G., Terasima Y., Yuan F., Huppenkothen D., Yukita M., 2019, @doi [ ] 10.3847/1538-4357/aaf38b , https://ui.adsabs.harvard.edu/abs/2019ApJ...870...73Y 870, 73
Younes G., Ptak A., Ho L. C., Xie F.-G., Terasima Y., Yuan F., Huppenkothen D., Yukita M., 2019, @doi [ ] 10.3847/1538-4357/aaf38b , https://ui.adsabs.harvard.edu/abs/2019ApJ...870...73Y 870, 73
2019 doi
-
[87]
A., Johnson W
Zdziarski A. A., Johnson W. N., Magdziarz P., 1996, @doi [ ] 10.1093/mnras/283.1.193 , https://ui.adsabs.harvard.edu/abs/1996MNRAS.283..193Z 283, 193
1996 doi
-
[88]
Zhang Z., et al., 2023, @doi [ ] 10.3847/1538-4357/ace7c2 , https://ui.adsabs.harvard.edu/abs/2023ApJ...954..159Z 954, 159
2023 doi
-
[89]
T., Done C., Smith D
\.Z ycki P. T., Done C., Smith D. A., 1999, @doi [ ] 10.1046/j.1365-8711.1999.02885.x , https://ui.adsabs.harvard.edu/abs/1999MNRAS.309..561Z 309, 561
1999
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