REVIEW 3 major objections 4 minor 101 references
Continuum Reverberation Mapping of Accretion Disks Surrounding Supermassive Black Hole Binaries: Observational Signatures
T0 review · 3 major / 4 minor · reviewed 2026-08-06 · deepseek-v4-flash
Pith's one-line read The low-density cavity opened by a binary black hole's tidal torque imprints a measurable break on the inter-band continuum lag relation, offering a new electromagnetic route to identifying sub-parsec supermassive black hole binaries.
desk verdict The paper has a genuinely new forward model predicting a flat-to-λ^(4/3) break in τ(λ) for SMBHBs, but the PG1302-102 data do not yet discriminate it from single-disk alternatives. 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 responsivity-weighted transfer function $\psi(\lambda,\tau)$, which gives the contribution of each disk surface element to the observed flux variation as a function of time delay and wavelength (Equation 16). For a single lamp-post corona above the secondary black hole, $\psi$ is bimodal: a short-lag bump from the mini-disk truncated at $r_{\rm out,s}=\xi r_{\rm R,s}$ (a fraction $\xi$ of the Roche lobe) and a long-lag bump from the circumbinary disk with inner edge $r_{\rm in,c}\approx a_B/(1+q)+r_{\rm H,s}$, separated by the null response of the cavity. Convolving $\psi$ with the auto-correlation function of the driving light curve converts the bimodal response into measurable peak and centroid time lags, and the break wavelength is approximately $\lambda_{\rm tran}\approx 2700\,f^{-1/4}(M_t/10^8\,M_\odot)^{1/4}(\dot{m}_c/0.1)^{-1/4}(a_B/100\,R_{g,t})^{3/4}$ Å, set by the temperature at the inner edge of the circumbinary disk.
What would settle it
From high-cadence, multi-band light curves of a confirmed or candidate binary such as PG 1302-102, measure the continuum transfer function directly, or use frequency-resolved lags: if the response is a single smooth bump with no null region near the light-crossing time of the Hill radius, or if the $\tau(\lambda)$ relation is a single $\lambda^{4/3}$ power law with no break between roughly 3000 and 5000 Å, the central claim is falsified.
Extended reading notes
Core claim
The paper's central claim is that the cavity—a gas-depleted region between the tidally truncated mini-disk around the secondary black hole and the circumbinary disk—imprints a distinguishable break on the continuum reverberation signal of a low-mass-ratio supermassive black hole binary. In this picture the responsivity-weighted transfer function is bimodal: a narrow short-lag bump from the mini-disk, whose outer edge is set by a fraction of the Roche lobe, plus a broad long-lag bump from the circumbinary disk, whose inner edge is set by the Hill radius, with a null-response gap from the cavity in between. The measurable consequence is that the $\tau(\lambda)$ relation is flat at short wavelengths and then transitions to the canonical $\lambda^{4/3}$ power law, with the break wavelength set by the characteristic temperature at the inner edge of the circumbinary disk. Applying the model to the intensive multiwavelength monitoring data of the SMBHB candidate PG 1302-102, the authors find that the SMBHB model reproduces the measured inter-band time lags and yields an inferred total mass and orbital period consistent with independent estimates, while the current data cannot yet discriminate the SMBHB scenario from single-disk power-law models.
Load-bearing premise
The signature rests on the assumption that a single, stationary X-ray lamp-post above the secondary black hole drives the continuum variability of both the mini-disk and the circumbinary disk; if the UV/optical variations instead come from intrinsic accretion-rate fluctuations or from two separate coronae, the predicted bimodal transfer function and the flat-then-steep break in the lag relation need not appear.
Editorial extensions
If this is right
- Multi-band continuum reverberation campaigns can flag SMBHB candidates by finding lag relations that are flat at short wavelengths and then break to roughly $\lambda^{4/3}$, instead of a single smooth power law.
- Fitting the full $\tau(\lambda)$ relation yields binary parameters, including total mass, orbital period, and the truncation radius of the mini-disk, that can be cross-checked against optical periodicity searches and virial mass estimates, as demonstrated for PG 1302-102.
- Because the break wavelength falls in the UV/optical bands for total masses above about $10^8\,M_\odot$ with orbital periods of a few years, the signature is most accessible for the massive, short-period binaries that are also promising nano-hertz gravitational wave sources.
- The inferred mini-disk truncation of roughly 100 gravitational radii (about a tenth of the Roche lobe) for PG 1302-102 matches the expectation that tidal torques truncate the mini-disk well inside its Roche lobe.
- With improved sampling and precision, directly inferring the transfer function from light curves would reveal the predicted bimodal shape, which is the clearest discriminant between the SMBHB geometry and single-disk models.
Reading between the lines
- A natural extension of this picture is that frequency-resolved lag measurements might expose the two response components more cleanly than centroid lags do, because the short-lag mini-disk response and the long-lag circumbinary response enter at different Fourier frequencies.
- Because the model fixes the orbital phase, one could test the binary interpretation by monitoring long enough to see the long-wavelength lags drift as the secondary moves around the orbit; a single-disk model has no phase dependence of this kind.
- The paper itself notes that bowl-like single-disk models can also produce a lag break, so a decisive test would be to check whether the break wavelength scales with inferred orbital parameters as $\lambda_{\rm tran}\propto a_B^{3/4}M_t^{1/4}$ across a sample of candidates.
- The fit implies the secondary accretes at a super-Eddington rate, which raises the question of whether such rates are sustainable over long timescales; modeling the mini-disk spectral energy distribution could test this.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. This paper develops a forward model of continuum reverberation mapping for low-mass-ratio supermassive black hole binaries (SMBHBs). The authors assume a lamp-post corona above the secondary black hole illuminates a truncated mini-disk and a circumbinary disk separated by a low-density cavity (Equations 1-17), compute responsivity-weighted transfer functions, and predict that the inter-band lag-wavelength relation tau(lambda) is flat at short wavelengths and transitions to a lambda^(4/3) power law at long wavelengths, unlike the uniform lambda^(4/3) relation for a single SMBH. They explore the dependence on inclination, orbital phase, orbital separation, mass ratio, and mini-disk outer radius (Figures 5-7), provide an approximate formula for the transition wavelength (Equations 27-30), and apply the model to PG1302-102 using merged Swift/LCO light curves and MICA/ICCF lag measurements. The SMBHB fit yields log(Mt/Msun)=9.9±0.9 and log(PB/day)=3.3±0.4, consistent with independent estimates, but the model is statistically comparable to a free power law (BIC 9.6 versus 8.9 in Section 4.2) and the observed transition is described as not statistically significant.
Significance. If the predicted break in tau(lambda) were unique to SMBHBs and recoverable in real campaigns, this would open a new electromagnetic identification channel for sub-parsec SMBHBs and complement pulsar-timing-array searches. The forward modeling is transparent and internally consistent, and the application to real data with MICA is a strength; the paper also gives a compact scaling formula for the break wavelength and is unusually candid about its limitations. The significance is currently limited because the uniqueness of the signature with respect to bowl-like single-disk models is not demonstrated, and the PG1302-102 data do not discriminate between the SMBHB model and power-law alternatives.
major comments (3)
- [Section 6 and Section 4.2] The central claim that the flat-to-lambda^(4/3) transition is a distinguishing SMBHB signature is not supported by the presented evidence. Section 6 acknowledges that a bowl-like single-SMBH disk model can also produce a transition feature (Starkey et al. 2023; Edelson et al. 2024), but this alternative is never fitted to the same PG1302-102 lags. Section 4.2 reports BIC values of 9.6 (SMBHB), 8.9 (free power law), and 10.6 (fixed 4/3 power law), and the text states that the models are comparable and that the observed transition is not statistically significant. The paper therefore demonstrates a plausible forward model, not that continuum reverberation mapping can discriminate SMBHBs from single disks; a quantitative comparison to the bowl-like model, or a demonstration that the bimodal transfer function is recoverable from data of realistic quality, is required for the central claim.
- [Section 2.3 and Section 5.1] The paper does not show that the predicted bimodal transfer function or the tau(lambda) break can actually be recovered from realistic monitoring campaigns. The convolution with a DRW ACF (Equation 22) already "severely blurs" the two response bumps (Section 3.1.2 and the right panel of Figure 3), and direct transfer-function inference is explicitly deferred to future work at the end of Section 2.3. No simulated light curves are generated to test how the break in tau(lambda) or the bimodal psi(lambda,tau) would appear with the cadence, duration, and photometric noise of the PG1302-102 campaign or of LSST/WFS. Without such a recovery test, the observational signature remains a theoretical prediction rather than a demonstrated observable.
- [Section 3.4, Eq. (27)] There is a numerical inconsistency in the approximate transition-temperature formula. For the fiducial parameters of Table 1, Equation (27) gives Ttran ~ 10^4 x (5.25)^(-1/4) x (3)^(-3/4) ~ 2.9 x 10^3 K, while Section 3.1.2 states the inner edge of the circumbinary disk has T ~ 6 x 10^3 K; direct evaluation of T^4 = 3GMt Mdot_c / (8 pi sigma aB^3) with Mdot_c = 0.1 L_Edd/(0.1 c^2) gives roughly 5.4 x 10^3 K before applying the f factor. Consequently Equations (29)-(30) underestimate lambda_tran by approximately a factor of two, which is material for the survey-feasibility statements in Section 5.2. The prefactors should be recalibrated against the numerical tau(lambda) calculation.
minor comments (4)
- [Section 4.2] The dimensionless accretion rates mdoto_c = 0.022 and mdoto_s = 6.28 appear to use eta = 0.1 for the Eddington rate while Mdot_c = 3.7 Msun/yr was derived with eta = 0.3; this mixing of radiative efficiencies should be fixed, as it changes the stated super-Eddington accretion rate of the secondary.
- [Section 2.3, Eqs. (18)-(25)] The model compares observed inter-band lags to differences of each band's lag relative to the driving light curve, but for a CCF between two observed bands the peak or centroid is not in general the difference of the individual peak or centroid lags when the transfer functions have different shapes; this approximation should be stated explicitly and tested with simulated light curves.
- [Throughout] There are numerous typographical errors, including "cicumbinary" (Section 2.2), "nomenclaturally" (Section 2.2), "conocial" (Section 6), "capble" (Section 6), and "orbtial" (Section 3.2); a careful proofreading pass is needed.
- [Section 2.2, Eq. (23)] The DRW damping timescale tau_D is calibrated from V-band AGN variability but is applied to the X-ray driving light curve; the paper should note that this is an approximation and, ideally, test the sensitivity of the predicted peak lags to tau_D.
Circularity Check
PG1302-102 'reproduction' partly rests on a mini-disk truncation parameter tuned to the same lags; the transition-feature prediction itself is forward-modeled and not circular.
-
fitted input called prediction
[Section 3.1 (fiducial parameter choice) and Section 4.2 (application to PG 1302-102)]
"The outer radius of the mini-disk around the secondary black hole is set to r_out,s = 0.1 r_R,s (see Equation 5). As demonstrated in Section 4, this choice aligns with the inference from fitting our SMBHB model to the observed data of the SMBHB candidate PG 1302-102."
The mini-disk truncation parameter ξ, entering through r_out,s = ξ r_R,s, is the key ingredient producing the flat short-wavelength part of τ(λ). The paper explicitly states that the fiducial value ξ = 0.1 was chosen because it aligns with the inference from fitting the same PG 1302-102 lag data. When Section 4 then reports that the SMBHB model 'can reproduce the inter-band time lags' of PG 1302-102, that reproduction is partly guaranteed by the earlier calibration: one model parameter was tuned to those very lags. This makes the PG 1302-102 agreement a postdiction rather than an independent test.
full rationale
The central prediction—a bimodal transfer function and a flat-to-λ^(4/3) transition in τ(λ)—is a forward calculation from an explicitly stated physical model: a tidally truncated mini-disk, a circumbinary disk with an inner edge set by the Hill radius, a low-density cavity, and a single lamp-post corona. The transition wavelength is derived from assumed disk temperatures and orbital parameters (Equations 27–30), not from fitting the PG 1302-102 lags. Thus the core claim is not circular by construction. The PG 1302-102 application is a genuine fit with six free parameters, and in the free-orbital-period case the inferred period is compared with, not forced to equal, the independently known optical periodicity; this provides some independent support. The main circular element is the fiducial choice ξ = 0.1 r_R,s, which the paper states was selected to align with the PG 1302-102 fitting inference and then reused as evidence that the model reproduces the same data. This is a fitted input presented as a successful demonstration, warranting a score of 3 rather than 0. The acknowledged degeneracy with the bowl-like disk model (Section 6) is a scientific limitation about uniqueness, not a circularity, and the paper honestly states that current data cannot discriminate between the SMBHB model and power-law models.
Assumptions & free parameters
free parameters (10)
- Mini-disk outer radius fraction ξ (rs,out) =
log(rs,out/Rg,s) ≈ 2.0 (≈100 Rg,s) for PG1302; fiducial ξ=0.1
- Total mass Mt =
log(Mt/Msun) ≈ 9.9 ± 0.9
- Mass ratio q =
log q ≈ -2.4 (+1.2/-1.0)
- Orbital period PB =
log(PB/day) ≈ 3.3 ± 0.4
- Inclination i =
cos i ≈ 0.5 ± 0.3
- Orbital phase θs =
≈ 95° ± 60°
- Corona height hs =
6 Rg,s (fixed)
- Disk albedo a and corona luminosity fraction fb =
a=0.1, fb=1 (fixed)
- Radiative efficiency η and bolometric correction =
η=0.3, bolometric correction 10 for PG1302
- DRW damping timescale τD =
≈15 days for fiducial Ms from Lu et al. (2019) scaling
assumptions (7)
- domain assumption Accretion disks are geometrically thin, optically thick, and radiate locally as Planck blackbodies (Equation 1).
- domain assumption A single lamp-post corona above the secondary black hole drives all UV/optical variability, with isotropic emission and constant height (Equations 10-12).
- domain assumption The circumbinary disk inner radius follows r_in,c ≈ aB/(1+q) + r_H,s (Equation 2), and the Roche radius formula (Equation 4) sets the mini-disk truncation scale.
- domain assumption Accretion from the circumbinary disk feeds only the secondary black hole (Ṁc=Ṁs); the primary's mini-disk is neglected.
- domain assumption The orbital phase θs is constant during the RM campaign, and the variable corona luminosity Lb(t) can be replaced by the mean luminosity Lμ for temperature calculation.
- domain assumption AGN variability follows the DRW process with an exponential ACF (Equation 20), with τD from the empirical Lu et al. (2019) scaling.
- domain assumption The responsivity-weighted transfer function (Equation 16) is the correct quantity for comparing with CCF lags.
Cite this review
Pith. "Pith review of Continuum Reverberation Mapping of Accretion Disks Surrounding Supermassive Black Hole Binaries: Observational Signatures." pith.science (2026). https://pith.science/paper/3VYQJFHB
@misc{pith2026250721671,
author = {Pith},
title = {Pith review of: Continuum Reverberation Mapping of Accretion Disks Surrounding Supermassive Black Hole Binaries: Observational Signatures},
year = {2026},
howpublished = {\url{https://pith.science/paper/3VYQJFHB}},
note = {Machine review of arXiv:2507.21671}
}
abstract
It has remained challenging to reliably identify sub-parsec supermassive black hole binaries (SMBHBs), despite them being expected to be ubiquitous. We propose a new method using multi-band continuum reverberation mapping to identify low-mass-ratio SMBHBs in active galactic nuclei. The basic principle is that, due to the presence of a low-density cavity between the mini-disks and the circumbinary disk, the continuum emissions show a deficit at certain wavelengths, leading to a distinguishing feature in the relation between the inter-band time lag and wavelengths $\tau(\lambda)$. Specifically, the relation appears flat at short wavelengths because of the truncated sizes of the mini-disks and transits to a power law $\lambda^{4/3}$ at long wavelength stemming from the circumbinary disk. This transition feature is distinct from the uniform relation $\lambda^{4/3}$ of the standard accretion disk around a single black hole. Using the lamp-post scenario and assuming that only the secondary black hole is active in a low-mass-ratio SMBHB, we design a simple continuum reverberation model to calculate the transfer function of the accretion disks and the resulting $\tau(\lambda)$ relations for various SMBHB orbital parameters. The transition wavelength typically can lie at UV/optical bands, mainly depending on the total mass and orbital separation of the SMBHB. We apply our SMBHB model to the intensive multiwavelength monitoring data of the SMBHB candidate PG1302-102 and find that the SMBHB model can reproduce the inter-band time lags. Remarkably, the inferred total mass and orbital period from the SMBHB fitting are consistent with values derived from other independent methods.
Figures
Figures from the paper (9 more)
Reference graph
Works this paper leans on
-
[1]
Abdollahi S., et al., 2024, @doi [ ] 10.3847/1538-4357/ad64c5 , https://ui.adsabs.harvard.edu/abs/2024ApJ...976..203A 976, 203
-
[2]
Anderson M. D., Baron F., Bentz M. C., 2021, @doi [ ] 10.1093/mnras/stab1394 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.505.2903A 505, 2903
-
[3]
Antonucci R. R. J., 2023, @doi [Galaxies] 10.3390/galaxies11050102 , https://ui.adsabs.harvard.edu/abs/2023Galax..11..102A 11, 102
-
[4]
H., 1994, @doi [ ] 10.1086/173679 , https://ui.adsabs.harvard.edu/abs/1994ApJ...421..651A 421, 651
Artymowicz P., Lubow S. H., 1994, @doi [ ] 10.1086/173679 , https://ui.adsabs.harvard.edu/abs/1994ApJ...421..651A 421, 651
doi:10.1086/173679 1994
-
[5]
H., 1996, @doi [ ] 10.1086/310200 , https://ui.adsabs.harvard.edu/abs/1996ApJ...467L..77A 467, L77
Artymowicz P., Lubow S. H., 1996, @doi [ ] 10.1086/310200 , https://ui.adsabs.harvard.edu/abs/1996ApJ...467L..77A 467, L77
doi:10.1086/310200 1996
-
[6]
Begelman M. C., Blandford R. D., Rees M. J., 1980, @doi [ ] 10.1038/287307a0 , https://ui.adsabs.harvard.edu/abs/1980Natur.287..307B 287, 307
doi:10.1038/287307a0 1980
-
[7]
Bon E., et al., 2012, @doi [ ] 10.1088/0004-637X/759/2/118 , https://ui.adsabs.harvard.edu/abs/2012ApJ...759..118B 759, 118
-
[8]
Bowen D. B., Mewes V., Noble S. C., Avara M., Campanelli M., Krolik J. H., 2019, @doi [ ] 10.3847/1538-4357/ab2453 , https://ui.adsabs.harvard.edu/abs/2019ApJ...879...76B 879, 76
Show all 101 references
-
[9]
J., P \'a rtay L
Brewer B. J., P \'a rtay L. B., Cs \'a nyi G., 2010, DNEST: Diffusive Nested Sampling , Astrophysics Source Code Library, record ascl:1010.029
2010
-
[10]
M., Horne K., Winkler H., 2007, @doi [ ] 10.1111/j.1365-2966.2007.12098.x , https://ui.adsabs.harvard.edu/abs/2007MNRAS.380..669C 380, 669
Cackett E. M., Horne K., Winkler H., 2007, @doi [ ] 10.1111/j.1365-2966.2007.12098.x , https://ui.adsabs.harvard.edu/abs/2007MNRAS.380..669C 380, 669
2007
-
[11]
M., Chiang C.-Y., McHardy I., Edelson R., Goad M
Cackett E. M., Chiang C.-Y., McHardy I., Edelson R., Goad M. R., Horne K., Korista K. T., 2018, @doi [ ] 10.3847/1538-4357/aab4f7 , https://ui.adsabs.harvard.edu/abs/2018ApJ...857...53C 857, 53
2018 doi
-
[12]
M., et al., 2020, @doi [ ] 10.3847/1538-4357/ab91b5 , https://ui.adsabs.harvard.edu/abs/2020ApJ...896....1C 896, 1
Cackett E. M., et al., 2020, @doi [ ] 10.3847/1538-4357/ab91b5 , https://ui.adsabs.harvard.edu/abs/2020ApJ...896....1C 896, 1
2020 doi
-
[13]
M., Bentz M
Cackett E. M., Bentz M. C., Kara E., 2021, @doi [iScience] 10.1016/j.isci.2021.102557 , https://ui.adsabs.harvard.edu/abs/2021iSci...24j2557C 24, 102557
2021
-
[14]
M., Zoghbi A., Ulrich O., 2022, @doi [ ] 10.3847/1538-4357/ac3913 , https://ui.adsabs.harvard.edu/abs/2022ApJ...925...29C 925, 29
Cackett E. M., Zoghbi A., Ulrich O., 2022, @doi [ ] 10.3847/1538-4357/ac3913 , https://ui.adsabs.harvard.edu/abs/2022ApJ...925...29C 925, 29
2022 doi
-
[15]
J., Kara E., 2016, @doi [ ] 10.1093/mnras/stw1105 , https://ui.adsabs.harvard.edu/abs/2016MNRAS.460.3076C 460, 3076
Chainakun P., Young A. J., Kara E., 2016, @doi [ ] 10.1093/mnras/stw1105 , https://ui.adsabs.harvard.edu/abs/2016MNRAS.460.3076C 460, 3076
2016 doi
-
[16]
M., Graham M
Charisi M., Bartos I., Haiman Z., Price-Whelan A. M., Graham M. J., Bellm E. C., Laher R. R., M \'a rka S., 2016, @doi [ ] 10.1093/mnras/stw1838 , https://ui.adsabs.harvard.edu/abs/2016MNRAS.463.2145C 463, 2145
2016 doi
-
[17]
S., Chartas G., Blackburne J
Chen B., Dai X., Kochanek C. S., Chartas G., Blackburne J. A., Morgan C. W., 2012, @doi [ ] 10.1088/0004-637X/755/1/24 , https://ui.adsabs.harvard.edu/abs/2012ApJ...755...24C 755, 24
2012 doi
-
[18]
Chen Y., Yu Q., Lu Y., 2020, @doi [ ] 10.3847/1538-4357/ab9594 , https://ui.adsabs.harvard.edu/abs/2020ApJ...897...86C 897, 86
2020 doi
-
[19]
Chen Y.-J., et al., 2024, @doi [ ] 10.1093/mnras/stad3981 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.52712154C 527, 12154
2024 doi
-
[20]
G., Baugh C
Cole S., Lacey C. G., Baugh C. M., Frenk C. S., 2000, @doi [ ] 10.1046/j.1365-8711.2000.03879.x , https://ui.adsabs.harvard.edu/abs/2000MNRAS.319..168C 319, 168
2000
-
[21]
Colpi M., 2014, @doi [ ] 10.1007/s11214-014-0067-1 , https://ui.adsabs.harvard.edu/abs/2014SSRv..183..189C 183, 189
2014 doi
-
[22]
G., Campanelli M., Noble S
Combi L., Lopez Armengol F. G., Campanelli M., Noble S. C., Avara M., Krolik J. H., Bowen D., 2022, @doi [ ] 10.3847/1538-4357/ac532a , https://ui.adsabs.harvard.edu/abs/2022ApJ...928..187C 928, 187
2022 doi
-
[23]
J., Charisi M., 2023, @doi [arXiv e-prints] 10.48550/arXiv.2310.16896 , https://ui.adsabs.harvard.edu/abs/2023arXiv231016896D p
D'Orazio D. J., Charisi M., 2023, @doi [arXiv e-prints] 10.48550/arXiv.2310.16896 , https://ui.adsabs.harvard.edu/abs/2023arXiv231016896D p. arXiv:2310.16896
-
[24]
J., Haiman Z., MacFadyen A., 2013, @doi [ ] 10.1093/mnras/stt1787 , https://ui.adsabs.harvard.edu/abs/2013MNRAS.436.2997D 436, 2997
D'Orazio D. J., Haiman Z., MacFadyen A., 2013, @doi [ ] 10.1093/mnras/stt1787 , https://ui.adsabs.harvard.edu/abs/2013MNRAS.436.2997D 436, 2997
2013 doi
-
[25]
J., Haiman Z., Schiminovich D., 2015, @doi [ ] 10.1038/nature15262 , https://ui.adsabs.harvard.edu/abs/2015Natur.525..351D 525, 351
D'Orazio D. J., Haiman Z., Schiminovich D., 2015, @doi [ ] 10.1038/nature15262 , https://ui.adsabs.harvard.edu/abs/2015Natur.525..351D 525, 351
2015 doi
-
[26]
J., Haiman Z., Duffell P., MacFadyen A., Farris B., 2016, @doi [ ] 10.1093/mnras/stw792 , https://ui.adsabs.harvard.edu/abs/2016MNRAS.459.2379D 459, 2379
D'Orazio D. J., Haiman Z., Duffell P., MacFadyen A., Farris B., 2016, @doi [ ] 10.1093/mnras/stw792 , https://ui.adsabs.harvard.edu/abs/2016MNRAS.459.2379D 459, 2379
2016 doi
-
[27]
R., et al., 2023, @doi [ ] 10.1093/mnras/stad1409 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.523..545D 523, 545
Donnan F. R., et al., 2023, @doi [ ] 10.1093/mnras/stad1409 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.523..545D 523, 545
2023 doi
-
[28]
J., et al., 2009, @doi [ ] 10.1088/0004-637X/696/1/870 , https://ui.adsabs.harvard.edu/abs/2009ApJ...696..870D 696, 870
Drake A. J., et al., 2009, @doi [ ] 10.1088/0004-637X/696/1/870 , https://ui.adsabs.harvard.edu/abs/2009ApJ...696..870D 696, 870
2009 doi
-
[29]
Edelson R., et al., 2019, @doi [ ] 10.3847/1538-4357/aaf3b4 , https://ui.adsabs.harvard.edu/abs/2019ApJ...870..123E 870, 123
2019 doi
-
[30]
M., Gelbord J., Horne K., Goad M., McHardy I., Vaughan S., Vestergaard M., 2024, @doi [ ] 10.3847/1538-4357/ad64d4 , https://ui.adsabs.harvard.edu/abs/2024ApJ...973..152E 973, 152
Edelson R., Peterson B. M., Gelbord J., Horne K., Goad M., McHardy I., Vaughan S., Vestergaard M., 2024, @doi [ ] 10.3847/1538-4357/ad64d4 , https://ui.adsabs.harvard.edu/abs/2024ApJ...973..152E 973, 152
2024 doi
-
[31]
P., 1983, @doi [ ] 10.1086/160960 , https://ui.adsabs.harvard.edu/abs/1983ApJ...268..368E 268, 368
Eggleton P. P., 1983, @doi [ ] 10.1086/160960 , https://ui.adsabs.harvard.edu/abs/1983ApJ...268..368E 268, 368
1983 doi
-
[32]
E., Dov c iak M., Pech \'a c ek T., Emmanoulopoulos D., Karas V., McHardy I
Epitropakis A., Papadakis I. E., Dov c iak M., Pech \'a c ek T., Emmanoulopoulos D., Karas V., McHardy I. M., 2016, @doi [ ] 10.1051/0004-6361/201527748 , https://ui.adsabs.harvard.edu/abs/2016A&A...594A..71E 594, A71
2016 doi
-
[33]
D., Duffell P., MacFadyen A
Farris B. D., Duffell P., MacFadyen A. I., Haiman Z., 2014, @doi [ ] 10.1088/0004-637X/783/2/134 , https://ui.adsabs.harvard.edu/abs/2014ApJ...783..134F 783, 134
2014 doi
-
[34]
M., et al., 2016, @doi [ ] 10.3847/0004-637X/821/1/56 , https://ui.adsabs.harvard.edu/abs/2016ApJ...821...56F 821, 56
Fausnaugh M. M., et al., 2016, @doi [ ] 10.3847/0004-637X/821/1/56 , https://ui.adsabs.harvard.edu/abs/2016ApJ...821...56F 821, 56
2016 doi
-
[35]
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
-
[36]
Gardner E., Done C., 2017, @doi [ ] 10.1093/mnras/stx946 , https://ui.adsabs.harvard.edu/abs/2017MNRAS.470.3591G 470, 3591
2017 doi
-
[37]
M., Peterson B
Gaskell C. M., Peterson B. M., 1987, @doi [ ] 10.1086/191216 , https://ui.adsabs.harvard.edu/abs/1987ApJS...65....1G 65, 1
1987 doi
-
[38]
M., Sparke L
Gaskell C. M., Sparke L. S., 1986, @doi [ ] 10.1086/164238 , https://ui.adsabs.harvard.edu/abs/1986ApJ...305..175G 305, 175
1986 doi
-
[39]
H., Hern \'a ndez Santisteban J
Gonz \'a lez-Buitrago D. H., Hern \'a ndez Santisteban J. V., Barth A. J., Jimenez-Bail \'o n E., Li Y.-R., Garc \' a-D \' az M. T., Lopez Vargas A., Herrera-Endoqui M., 2022, @doi [ ] 10.1093/mnras/stac1945 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.515.2890G 515, 2890
2022 doi
-
[40]
J., et al., 2015, @doi [ ] 10.1038/nature14143 , https://ui.adsabs.harvard.edu/abs/2015Natur.518...74G 518, 74
Graham M. J., et al., 2015, @doi [ ] 10.1038/nature14143 , https://ui.adsabs.harvard.edu/abs/2015Natur.518...74G 518, 74
2015 doi
-
[41]
M., 2012, @doi [ ] 10.1088/0004-637X/761/2/90 , https://ui.adsabs.harvard.edu/abs/2012ApJ...761...90G 761, 90
G \"u ltekin K., Miller J. M., 2012, @doi [ ] 10.1088/0004-637X/761/2/90 , https://ui.adsabs.harvard.edu/abs/2012ApJ...761...90G 761, 90
2012 doi
-
[42]
C., Wang J.-M., 2022, @doi [ ] 10.3847/1538-4357/ac4e84 , https://ui.adsabs.harvard.edu/abs/2022ApJ...929...19G 929, 19
Guo W.-J., Li Y.-R., Zhang Z.-X., Ho L. C., Wang J.-M., 2022, @doi [ ] 10.3847/1538-4357/ac4e84 , https://ui.adsabs.harvard.edu/abs/2022ApJ...929...19G 929, 19
2022 doi
-
[43]
V., et al., 2020, @doi [ ] 10.1093/mnras/staa2365 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.498.5399H 498, 5399
Hern \'a ndez Santisteban J. V., et al., 2020, @doi [ ] 10.1093/mnras/staa2365 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.498.5399H 498, 5399
2020 doi
-
[44]
M., Horne K., Peterson B
Horne K., 1994, in Gondhalekar P. M., Horne K., Peterson B. M., eds, Astronomical Society of the Pacific Conference Series Vol. 69, Reverberation Mapping of the Broad-Line Region in Active Galactic Nuclei. p. 23
1994
-
[45]
Ivezi \'c Z ., et al., 2019, @doi [ ] 10.3847/1538-4357/ab042c , https://ui.adsabs.harvard.edu/abs/2019ApJ...873..111I 873, 111
2019 doi
-
[46]
Jester S., et al., 2005, @doi [ ] 10.1086/432466 , https://ui.adsabs.harvard.edu/abs/2005AJ....130..873J 130, 873
2005 doi
-
[47]
Kara E., et al., 2021, @doi [ ] 10.3847/1538-4357/ac2159 , https://ui.adsabs.harvard.edu/abs/2021ApJ...922..151K 922, 151
2021 doi
-
[48]
Kara E., et al., 2023, @doi [ ] 10.3847/1538-4357/acbcd3 , https://ui.adsabs.harvard.edu/abs/2023ApJ...947...62K 947, 62
2023 doi
-
[49]
C., Bechtold J., Siemiginowska A., 2009, @doi [ ] 10.1088/0004-637X/698/1/895 , https://ui.adsabs.harvard.edu/abs/2009ApJ...698..895K 698, 895
Kelly B. C., Bechtold J., Siemiginowska A., 2009, @doi [ ] 10.1088/0004-637X/698/1/895 , https://ui.adsabs.harvard.edu/abs/2009ApJ...698..895K 698, 895
2009 doi
-
[50]
B., Popovi \'c L
Kova c evi \'c A. B., Popovi \'c L. C ., Simi \'c S., Ili \'c D., 2019, @doi [ ] 10.3847/1538-4357/aaf731 , https://ui.adsabs.harvard.edu/abs/2019ApJ...871...32K 871, 32
2019 doi
-
[51]
M., Terndrup D
Leighly K. M., Terndrup D. M., Gallagher S. C., Lucy A. B., 2016, @doi [ ] 10.3847/0004-637X/829/1/4 , https://ui.adsabs.harvard.edu/abs/2016ApJ...829....4L 829, 4
2016 doi
-
[52]
Li Y.-R., Wang J.-M., 2025, @doi [ ] 10.3847/1538-4357/ad9fee , https://ui.adsabs.harvard.edu/abs/2025ApJ...979..126L 979, 126
2025 doi
-
[53]
C., Du P., Bai J.-M., 2013, @doi [ ] 10.1088/0004-637X/779/2/110 , https://ui.adsabs.harvard.edu/abs/2013ApJ...779..110L 779, 110
Li Y.-R., Wang J.-M., Ho L. C., Du P., Bai J.-M., 2013, @doi [ ] 10.1088/0004-637X/779/2/110 , https://ui.adsabs.harvard.edu/abs/2013ApJ...779..110L 779, 110
2013 doi
-
[54]
Li Y.-R., Wang J.-M., Hu C., Du P., Bai J.-M., 2014, @doi [ ] 10.1088/2041-8205/786/1/L6 , https://ui.adsabs.harvard.edu/abs/2014ApJ...786L...6L 786, L6
2014 doi
-
[55]
Li Y.-R., et al., 2016a, @doi [ ] 10.3847/0004-637X/822/1/4 , https://ui.adsabs.harvard.edu/abs/2016ApJ...822....4L 822, 4
-
[56]
Li Y.-R., Wang J.-M., Bai J.-M., 2016b, @doi [ ] 10.3847/0004-637X/831/2/206 , https://ui.adsabs.harvard.edu/abs/2016ApJ...831..206L 831, 206
-
[57]
Li Y.-R., et al., 2019, @doi [ ] 10.3847/1538-4365/ab0ec5 , https://ui.adsabs.harvard.edu/abs/2019ApJS..241...33L 241, 33
2019 doi
-
[58]
Li Y.-R., Xiao M., Wang J.-M., 2021, @doi [ ] 10.3847/1538-4357/ac1c71 , https://ui.adsabs.harvard.edu/abs/2021ApJ...921..151L 921, 151
2021 doi
-
[59]
C., 2018, @doi [ ] 10.3847/2041-8213/aac2ed , https://ui.adsabs.harvard.edu/abs/2018ApJ...859L..12L 859, L12
Liu T., Gezari S., Miller M. C., 2018, @doi [ ] 10.3847/2041-8213/aac2ed , https://ui.adsabs.harvard.edu/abs/2018ApJ...859L..12L 859, L12
2018 doi
-
[60]
Liu T., et al., 2019, @doi [ ] 10.3847/1538-4357/ab40cb , https://ui.adsabs.harvard.edu/abs/2019ApJ...884...36L 884, 36
2019 doi
-
[61]
Liu T., et al., 2024, @doi [ ] 10.3847/1538-4357/ad23e2 , https://ui.adsabs.harvard.edu/abs/2024ApJ...964..167L 964, 167
2024 doi
-
[62]
G., et al., 2021, @doi [ ] 10.3847/1538-4357/abf0af , https://ui.adsabs.harvard.edu/abs/2021ApJ...913...16L 913, 16
Lopez Armengol F. G., et al., 2021, @doi [ ] 10.3847/1538-4357/abf0af , https://ui.adsabs.harvard.edu/abs/2021ApJ...913...16L 913, 16
2021 doi
-
[63]
Lu K.-X., et al., 2019, @doi [ ] 10.3847/1538-4357/ab16e8 , https://ui.adsabs.harvard.edu/abs/2019ApJ...877...23L 877, 23
2019 doi
-
[64]
Luo D., Jiang N., Liu X., 2025, @doi [ ] 10.3847/1538-4357/ad9245 , https://ui.adsabs.harvard.edu/abs/2025ApJ...978...86L 978, 86
2025 doi
-
[65]
Maoz D., et al., 1991, @doi [ ] 10.1086/169646 , https://ui.adsabs.harvard.edu/abs/1991ApJ...367..493M 367, 493
1991 doi
-
[66]
K., Maiolino R., Salvati M., 2004, @doi [ ] 10.1111/j.1365-2966.2004.07765.x , https://ui.adsabs.harvard.edu/abs/2004MNRAS.351..169M 351, 169
Marconi A., Risaliti G., Gilli R., Hunt L. K., Maiolino R., Salvati M., 2004, @doi [ ] 10.1111/j.1365-2966.2004.07765.x , https://ui.adsabs.harvard.edu/abs/2004MNRAS.351..169M 351, 169
2004
-
[67]
Merritt D., Milosavljevi \'c M., 2005, @doi [Living Reviews in Relativity] 10.12942/lrr-2005-8 , https://ui.adsabs.harvard.edu/abs/2005LRR.....8....8M 8, 8
2005 doi
-
[68]
W., et al., 2012, @doi [ ] 10.1088/0004-637X/756/1/52 , https://ui.adsabs.harvard.edu/abs/2012ApJ...756...52M 756, 52
Morgan C. W., et al., 2012, @doi [ ] 10.1088/0004-637X/756/1/52 , https://ui.adsabs.harvard.edu/abs/2012ApJ...756...52M 756, 52
2012 doi
-
[69]
O'Neill S., et al., 2022, @doi [ ] 10.3847/2041-8213/ac504b , https://ui.adsabs.harvard.edu/abs/2022ApJ...926L..35O 926, L35
2022 doi
-
[70]
M., Wanders I., Horne K., Collier S., Alexander T., Kaspi S., Maoz D., 1998, @doi [ ] 10.1086/316177 , https://ui.adsabs.harvard.edu/abs/1998PASP..110..660P 110, 660
Peterson B. M., Wanders I., Horne K., Collier S., Alexander T., Kaspi S., Maoz D., 1998, @doi [ ] 10.1086/316177 , https://ui.adsabs.harvard.edu/abs/1998PASP..110..660P 110, 660
1998 doi
-
[71]
Prince R., et al., 2025, @doi [ ] 10.1093/mnras/staf983 , https://ui.adsabs.harvard.edu/abs/2025MNRAS.541..642P 541, 642
2025 doi
-
[72]
S., Kotilainen J., 2020, @doi [ ] 10.3847/1538-4365/ab99c5 , https://ui.adsabs.harvard.edu/abs/2020ApJS..249...17R 249, 17
Rakshit S., Stalin C. S., Kotilainen J., 2020, @doi [ ] 10.3847/1538-4365/ab99c5 , https://ui.adsabs.harvard.edu/abs/2020ApJS..249...17R 249, 17
2020 doi
-
[73]
Rigamonti F., et al., 2025, @doi [ ] 10.1051/0004-6361/202452830 , https://ui.adsabs.harvard.edu/abs/2025A&A...693A.117R 693, A117
2025 doi
-
[74]
Roedig C., Sesana A., Dotti M., Cuadra J., Amaro-Seoane P., Haardt F., 2012, @doi [ ] 10.1051/0004-6361/201219986 , https://ui.adsabs.harvard.edu/abs/2012A&A...545A.127R 545, A127
2012 doi
-
[75]
H., Miller M
Roedig C., Krolik J. H., Miller M. C., 2014, @doi [ ] 10.1088/0004-637X/785/2/115 , https://ui.adsabs.harvard.edu/abs/2014ApJ...785..115R 785, 115
2014 doi
-
[76]
Ryan G., MacFadyen A., 2017, @doi [ ] 10.3847/1538-4357/835/2/199 , https://ui.adsabs.harvard.edu/abs/2017ApJ...835..199R 835, 199
2017 doi
-
[77]
F., Finkbeiner D
Schlafly E. F., Finkbeiner D. P., 2011, @doi [ ] 10.1088/0004-637X/737/2/103 , https://ui.adsabs.harvard.edu/abs/2011ApJ...737..103S 737, 103
2011 doi
-
[78]
J., Finkbeiner D
Schlegel D. J., Finkbeiner D. P., Davis M., 1998, @doi [ ] 10.1086/305772 , https://ui.adsabs.harvard.edu/abs/1998ApJ...500..525S 500, 525
1998 doi
-
[79]
Schwarz G., 1978, Annals of Statistics, https://ui.adsabs.harvard.edu/abs/1978AnSta...6..461S 6, 461
1978
-
[80]
Sesana A., Haardt F., Madau P., Volonteri M., 2004, @doi [ ] 10.1086/422185 , https://ui.adsabs.harvard.edu/abs/2004ApJ...611..623S 611, 623
2004 doi
-
[81]
S., Ivezi \'c Z ., Morgan D
Sesar B., Stuart J. S., Ivezi \'c Z ., Morgan D. P., Becker A. C., Wo \'z niak P., 2011, @doi [ ] 10.1088/0004-6256/142/6/190 , https://ui.adsabs.harvard.edu/abs/2011AJ....142..190S 142, 190
2011 doi
-
[82]
Shang Z., et al., 2011, @doi [ ] 10.1088/0067-0049/196/1/2 , https://ui.adsabs.harvard.edu/abs/2011ApJS..196....2S 196, 2
2011 doi
-
[83]
H., 2015, @doi [ ] 10.1088/0004-637X/807/2/131 , https://ui.adsabs.harvard.edu/abs/2015ApJ...807..131S 807, 131
Shi J.-M., Krolik J. H., 2015, @doi [ ] 10.1088/0004-637X/807/2/131 , https://ui.adsabs.harvard.edu/abs/2015ApJ...807..131S 807, 131
2015 doi
-
[84]
A., Horne K., Villforth C., 2016, @doi [ ] 10.1093/mnras/stv2744 , https://ui.adsabs.harvard.edu/abs/2016MNRAS.456.1960S 456, 1960
Starkey D. A., Horne K., Villforth C., 2016, @doi [ ] 10.1093/mnras/stv2744 , https://ui.adsabs.harvard.edu/abs/2016MNRAS.456.1960S 456, 1960
2016 doi
-
[85]
Starkey D., et al., 2017, @doi [ ] 10.3847/1538-4357/835/1/65 , https://ui.adsabs.harvard.edu/abs/2017ApJ...835...65S 835, 65
2017 doi
-
[86]
A., Huang J., Horne K., Lin D
Starkey D. A., Huang J., Horne K., Lin D. N. C., 2023, @doi [ ] 10.1093/mnras/stac3579 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.519.2754S 519, 2754
2023 doi
-
[87]
C., Lacey C
Su T., Guo Q., Qiao E., Pei W., Ho L. C., Lacey C. G., 2025, @doi [arXiv e-prints] 10.48550/arXiv.2501.10793 , https://ui.adsabs.harvard.edu/abs/2025arXiv250110793S p. arXiv:2501.10793
2025 doi
-
[88]
Sun M., et al., 2020, @doi [ ] 10.3847/1538-4357/ab789e , https://ui.adsabs.harvard.edu/abs/2020ApJ...891..178S 891, 178
2020 doi
-
[89]
J., et al., 2008, @doi [ ] 10.1038/nature06896 , https://ui.adsabs.harvard.edu/abs/2008Natur.452..851V 452, 851
Valtonen M. J., et al., 2008, @doi [ ] 10.1038/nature06896 , https://ui.adsabs.harvard.edu/abs/2008Natur.452..851V 452, 851
2008 doi
-
[90]
G., Huppenkothen D., Middleton M
Vaughan S., Uttley P., Markowitz A. G., Huppenkothen D., Middleton M. J., Alston W. N., Scargle J. D., Farr W. M., 2016, @doi [ ] 10.1093/mnras/stw1412 , https://ui.adsabs.harvard.edu/abs/2016MNRAS.461.3145V 461, 3145
2016 doi
-
[91]
Wang T., et al., 2023, @doi [Science China Physics, Mechanics, and Astronomy] 10.1007/s11433-023-2197-5 , https://ui.adsabs.harvard.edu/abs/2023SCPMA..6609512W 66, 109512
2023 doi
-
[92]
F., 1999, @doi [ ] 10.1086/316457 , https://ui.adsabs.harvard.edu/abs/1999PASP..111.1347W 111, 1347
Welsh W. F., 1999, @doi [ ] 10.1086/316457 , https://ui.adsabs.harvard.edu/abs/1999PASP..111.1347W 111, 1347
1999 doi
-
[93]
R., Zrake J., MacFadyen A., Haiman Z., 2022, @doi [ ] 10.1103/PhysRevD.106.103010 , https://ui.adsabs.harvard.edu/abs/2022PhRvD.106j3010W 106, 103010
Westernacher-Schneider J. R., Zrake J., MacFadyen A., Haiman Z., 2022, @doi [ ] 10.1103/PhysRevD.106.103010 , https://ui.adsabs.harvard.edu/abs/2022PhRvD.106j3010W 106, 103010
2022 doi
-
[94]
Whitley K., Kuznetsova A., G \"u ltekin K., Ruszkowski M., 2024, @doi [ ] 10.1093/mnras/stad3325 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.527.6569W 527, 6569
2024 doi
-
[95]
Yan C.-S., Lu Y., Dai X., Yu Q., 2015, @doi [ ] 10.1088/0004-637X/809/2/117 , https://ui.adsabs.harvard.edu/abs/2015ApJ...809..117Y 809, 117
2015 doi
-
[96]
Yaqoob T., Tzanavaris P., LaMassa S., 2023, @doi [ ] 10.1093/mnras/stad782 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.522..394Y 522, 394
2023 doi
-
[97]
R., Shen Y., Jiang L., Wang J.-X., Chen X., Cuadra J., 2016, @doi [ ] 10.3847/0004-637X/827/1/56 , https://ui.adsabs.harvard.edu/abs/2016ApJ...827...56Z 827, 56
Zheng Z.-Y., Butler N. R., Shen Y., Jiang L., Wang J.-X., Chen X., Cuadra J., 2016, @doi [ ] 10.3847/0004-637X/827/1/56 , https://ui.adsabs.harvard.edu/abs/2016ApJ...827...56Z 827, 56
2016 doi
-
[98]
Zhou S., Sun M., Cai Z.-Y., Ren G., Wang J.-X., Xue Y., 2024, @doi [ ] 10.3847/1538-4357/ad2fbc , https://ui.adsabs.harvard.edu/abs/2024ApJ...966....8Z 966, 8
2024 doi
-
[99]
Zhu X.-J., Thrane E., 2020, @doi [ ] 10.3847/1538-4357/abac5a , https://ui.adsabs.harvard.edu/abs/2020ApJ...900..117Z 900, 117
2020 doi
-
[100]
M., Cackett E., 2021, @doi [ ] 10.3847/1538-4357/abebd9 , https://ui.adsabs.harvard.edu/abs/2021ApJ...912...42Z 912, 42
Zoghbi A., Miller J. M., Cackett E., 2021, @doi [ ] 10.3847/1538-4357/abebd9 , https://ui.adsabs.harvard.edu/abs/2021ApJ...912...42Z 912, 42
2021 doi
-
[101]
S., Koz owski S., Udalski A., 2013, @doi [ ] 10.1088/0004-637X/765/2/106 , https://ui.adsabs.harvard.edu/abs/2013ApJ...765..106Z 765, 106
Zu Y., Kochanek C. S., Koz owski S., Udalski A., 2013, @doi [ ] 10.1088/0004-637X/765/2/106 , https://ui.adsabs.harvard.edu/abs/2013ApJ...765..106Z 765, 106
2013 doi
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