REVIEW 3 major objections 5 minor 1 cited by
Constraining Disk-to-Corona Power Transfer Fraction, Soft X-ray Excess Origin, and Black Hole Spin Population of Type-1 AGN across Mass Scales
T0 review · 3 major / 5 minor · reviewed 2026-08-10 · deepseek-v4-flash
Pith's one-line read This paper derives the disk-to-corona power transfer fraction in 11 AGN, finds a strong correlation with black hole mass times accretion rate squared that validates the standard α-disk model with variable coupling, and constrains the soft…
desk verdict Careful spectral fitting undermined by a circular validation claim for the disk-to-corona power transfer fraction. 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 carrying machinery is the SZ94 density relation for a radiation-pressure-dominated Shakura–Sunyaev disk with power-transfer fraction $f$, used in reverse: the reflection fit supplies the disk density, and Eq. (1) is solved for $f$ at $r=10r_s$, the radius at which model and measured densities agree for all sources. The spectral engine is the relxillCp high-density relativistic reflection model, which allows the disk density to vary up to $\log(n_e/{\rm cm^{-3}})=20$ and the coronal temperature to vary, with a broken-power-law emissivity profile. Model comparison uses MCMC posteriors and the Deviance Information Criterion to decide between canonical-density reflection, high-density reflection, and an added warm Comptonization component. The confirmation step is the Spearman rank correlation between the derived $f$ and $\log(M_{\rm BH}\dot{m}^2)$.
What would settle it
Take a source observed at several epochs with different luminosities but fixed $\dot{m}$ (or with independent $\dot{m}$ monitoring) and check whether the $f$ values derived from the reflection density remain constant; if $f$ tracks flux, the assumption that the fitted $n_e$ is the local SZ94 density at $r=10r_s$ is not valid.
Extended reading notes
Core claim
The paper's central claim is that the standard radiation-pressure-dominated $\alpha$-disk model, augmented by a variable fraction $f$ of disk power transferred to the X-ray corona, is validated by the observed relation between the derived $f$ and $\log(M_{\rm BH}\dot{m}^2)$. For each source, the electron density $n_e$ measured by fitting the high-density relativistic reflection model relxillCp is inserted into the SZ94 density formula $n_e \propto \alpha^{-1}r^{3/2}\dot{m}^{-2}(1-f)^{-3}$ evaluated at $r=10r_s$ with $\alpha=0.1$, giving $f$ for that source; the resulting values show a strong positive correlation (Spearman $\rho_s=0.73$, $p=0.01$). The paper reports the first systematic calculation of this transfer fraction in any accreting object, with a sample median of $0.68$, and shows that the transferred power can soften the coronal spectrum. It also finds that high-density relativistic reflection alone describes the soft X-ray excess together with the broad iron line and Compton hump in 8 of the 11 sources, while 3 require an additional warm Comptonization component, implying a hybrid origin for the soft X-ray excess. The same reflection fits yield black hole spin measurements that add about 20% to the available AGN spin sample across $\log(M_{\rm BH}/M_\odot)\sim5.5{-}9$.
Load-bearing premise
The calculation treats the electron density returned by the reflection fit as the local density of a standard disk supported by radiation pressure, evaluated exactly at 10 Schwarzschild radii with the viscosity parameter fixed at 0.1; if the fitted density is an average over a density gradient, or the inner disk is not radiation-pressure dominated where the reflection arises, the derived $f$ values and the correlation that validates the model do not follow.
Editorial extensions
If this is right
- The $f$–$\log(M_{\rm BH}\dot{m}^2)$ correlation validates the standard $\alpha$-disk model with a variable disk-to-corona power transfer fraction.
- Because $f$ ranges from a few percent to above 98 percent across the sample, the canonical assumption of a fixed low disk density is insufficient; density must be fitted.
- The soft X-ray excess has a hybrid origin: relativistic reflection from a dense, ionized disk in most sources, plus warm Comptonization in a minority.
- Higher disk-to-corona power transfer is associated with softer primary X-ray spectra, consistent with the injected disk photons cooling the corona.
- Eleven new spin measurements extend the AGN spin census across nearly the full supermassive black hole mass range, increasing the sample by about 20%.
Reading between the lines
- Beyond the paper, if the correlation holds in a larger sample, $f$ could be predicted from optical/UV accretion-rate estimates, turning the disk-to-corona fraction into an input rather than an output of spectral models.
- The same inversion of the SZ94 relation could be applied to stellar-mass black hole X-ray binaries, testing whether the disk-to-corona coupling law is universal across roughly six orders of magnitude in mass; the paper does not do this.
- A decisive check of the assumed radius $r=10r_s$ would be to use reflection models that return density as a function of radius, or to compare the derived $f$ with independent coronal-height or emissivity measurements.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. This paper presents joint XMM-Newton/NuSTAR (0.3–78 keV) spectral modeling of 11 Type-1 AGN spanning log(M_BH/M_sun) ≈ 5.9–9.1, using the relxillCp high-density relativistic reflection model with MCMC parameter exploration and DIC-based model comparison. The authors report three headline results: (i) a hybrid origin for the soft X-ray excess, with high-density disk reflection alone fitting 8/11 sources and an additional warm Comptonization component required for 3/11 (NGC 4748, Mrk 110, PG 1426+015); (ii) the first systematic derivation of the disk-to-corona power transfer fraction f, obtained by inverting the Svensson–Zdziarski (1994) density formula (Eq. 1) at fixed α = 0.1 and r = 10 r_s, with a reported sample median f ≈ 0.7 (0.68 in the separate abstract); and (iii) a claimed validation of the standard α-disk model via a strong correlation between f and log(M_BH mdot^2) (Spearman ρ_s = 0.73, p = 0.01). Additional results include median hot-corona temperature and optical depth (63 keV and 0.85) and spin measurements that increase the published AGN spin census by roughly 20%.
Significance. The spectral modeling is careful and transparent: MCMC chains with convergence checks, DIC tables for model selection, per-source appendices with spectra, residuals, and corner plots, and a fully documented fitting pipeline. If valid, the f measurement would open a new observational window on disk–corona coupling, and the correlation test would be a strong confirmation of the SZ94/SS73 framework. Unfortunately, the central validation claim is circular and unsound for the reasons given in Major Comment 1: f is derived from Eq. (1) using the same M_BH and mdot variables against which it is later correlated, so the reported ρ_s = 0.73 restates the measured lack of an n_e–M_BH mdot^2 anti-correlation rather than testing the model. The remaining contributions — the systematic soft-excess census and the spin measurements — are useful but largely confirmatory of earlier work (JJ19; Mallick et al. 2022; Porquet et al. 2024).
major comments (3)
- [§4.4, Eq. (1), Figs. 8–9] The claimed validation of the α-disk model is circular. Equation (1) is inverted to solve for f from the measured density, yielding f = 1 − [C′/(n_e,obs M_BH mdot^2)]^{1/3} up to a weak r_in-dependent factor, so correlating this f with log(M_BH mdot^2) is a nonlinear transformation of the observed relation between n_e,obs and M_BH mdot^2 rather than an independent prediction. The paper itself finds no anti-correlation between log n_e and log(M_BH mdot^2) (Fig. 8, §4.4), whereas the fixed-f SS73 model predicts exactly log n_e = −log(M_BH mdot^2) + const; a null slope is therefore a disconfirmation of the fixed-f prediction, and allowing f to vary per source absorbs that failure by construction. Consequently, the reported ρ_s = 0.73 (p = 0.01) is a mathematical consequence of the inversion, not evidence for the variable-f α-disk model. A valid test requires either independent physics predicting f, a simulation of the null distribution of ρ_s under f = const using the measured n_e uncertainties, or statistics based on quantities not already used in the inversion. As written, the statements in the abstract and §5 that the variable-f α-disk model is validated are unsupported.
- [§4.4, Eq. (1), Fig. A6] The identification of the relxillCp-fitted density with the SZ94 local density at a single radius r = 10 r_s is assumed without independent justification. relxillCp is computed for a constant-density atmosphere, whereas the SZ94 density is radius-dependent; the observed reflection spectrum is a disk-integrated quantity, so the fitted n_e need not equal the local density at any one radius. The statement that "the point of agreement between the model and measured density is found to be at r = 10 rs for all sources" cannot carry the weight placed on it: since f is free and (1−f)^{-3} spans six orders of magnitude, the model family can be brought into agreement at any chosen radius. The choices r = 10 r_s, α = 0.1, and the fixed emissivity profile (q_out = 3, r_br = 6 r_g) therefore directly determine the reported f values in Table 3 and the sample median f ≈ 0.7, and the abstract's median f = 0.68 inherits these assumptions. If the reflection density is a flux-weighted average over a density gradient, or if the reflection zone is not radiation-pressure dominated, the derived f values and the f–log(M_BH mdot^2) correlation collapse.
- [Table 3, Fig. 9] The correlation test treats censored, asymmetric f values as point measurements. Four of the eleven f values in Table 3 are upper limits (UGC 6728, Mrk 1310, NGC 4748, PG 1426+015) and one is a lower limit (PG 1229+204). In addition, the quoted f uncertainties propagate only the n_e uncertainties, not the large errors on the input mdot and M_BH (Table 1: e.g., UGC 6728 has mdot = 0.58^{+0.76}_{−0.21} and PG 0844+349 has log n_e = 18.1^{+0.5}_{−2.1}). Because (1−f)^{-3} ∝ M_BH mdot^2, the input-parameter uncertainties translate into f uncertainties comparable to or larger than the reported ranges, and these same parameters appear in the independent variable X, further coupling the test to the inversion. With N = 11, heavy censoring, and asymmetric posteriors, the reported ρ_s = 0.73, p = 0.01 does not establish the claimed correlation; a censored-data treatment with full posterior propagation is needed before any correlation claim can be made.
minor comments (5)
- [Abstract vs. §4.1, Table 2, Appendix A] The arXiv abstract states that pure high-density reflection fits "3 out of 11 AGN" with warm Comptonization required for the remaining sources, whereas the full-text abstract, the body text, Table 2, and the per-source appendices consistently find the opposite (8/11 fitted by reflection alone; 3/11 — NGC 4748, Mrk 110, PG 1426+015 — requiring additional warm Comptonization). The abstract inverts the headline soft-excess result and must be corrected.
- [Abstract (both versions)] The manuscript contains two different abstracts with inconsistent median values (f = 0.68 vs 0.7; hot-corona kTe = 54 vs 63 keV; τe = 0.98 vs 0.85). The body text (§4.4 and §4.5) matches the full-text abstract; the two versions should be reconciled before publication.
- [Eq. (2), §4.5] Equation (2) as typeset places the "−1.5" term inside the square root: τe = √(2.25 + 3(kTe/mec^2)[(Γ+0.5)^2 − 2.25] − 1.5). In the standard form of this expression the −1.5 sits outside the radical; as printed, the inferred optical depths shift by roughly a unit and the median τe = 0.85 quoted in §4.5 is not reproducible from the stated kTe and Γ values. Please fix the formula and recompute the τe distribution.
- [§4.6, Fig. 13] The three sources for which spin is claimed to be measured for the first time (UGC 6728, Mrk 1310, PG 1426+015) have weakly constrained values (a* = 0.73^{+0.11}_{−0.61}, 0.9^{+0.07}_{−0.70}, 0.44^{+0.49}_{−0.12}, respectively), and the claim of a "~20% increase in the spin census" should be qualified accordingly.
- [§4.4 and abstract] The phrases "first-ever calculation" and "for the first time in any accreting objects" concerning f are over-claims. f is obtained by rearranging an existing analytic formula (SZ94) under assumed parameter choices; the genuinely new element is the systematic application to a sample, and the text should be worded as such.
Circularity Check
The f–log(MBH ṁ^2) correlation is an inversion artifact, not an independent validation of the α-disk model.
-
fitted input called prediction
[Section 4.4, Eq. (1), Figs. 8–9, Table 3]
"ne = 1/(σT rs) (256√2/27) α^{-1} r^{3/2} ṁ^{-2} [1-(rin/r)^{1/2}]^{-2} (1-f)^{-3} ... We calculate the f-values from the measured disk density at r = 10 rs for each source using equation (1) ... As it stands, we have taken care of all the model intrinsic scatters involved, and if the standard α-disk model is valid, we expect a correlation between f and log[MBH ṁ2]. ..."
Equation (1) is inverted to solve for f from the fitted density ne and the same MBH and ṁ that define X = MBH ṁ^2. Setting α = 0.1 and r = 10 rs, the inversion gives f = 1 − [C'/(ne X)]^{1/3} up to a weak rin-dependent factor. Thus f is not an independent observable: it is a deterministic function of the measured ne and the same X used in the correlation. The paper explicitly reports no anti-correlation between log ne and log X (Fig. 8)—the actual fixed-f SS73 prediction—and then converts the residuals into f. With log ne approximately independent of log X, the transformation log(1−f) = −(1/3)(log ne + log X) + const automatically produces a positive f−X correlation. The claimed validation therefore restates the input inversion rather than testing a model prediction.
full rationale
The central validation claim in Section 4.4 reduces by construction. Equation (1) is the defining relation used to compute f from the spectral-fit density and the same black-hole-mass and accretion-rate variables that appear in the claimed correlation, so the f versus log(MBH ṁ^2) correlation is a transformed plot of the inputs, not an independent test of the variable-f α-disk model. The paper acknowledges the absence of the fixed-f predicted log ne–log X anti-correlation, then absorbs that failure into per-source f values and presents the resulting correlation as validation; this is a fitted-input-called-prediction pattern. The other principal results—DIC-based model selection for the soft X-ray excess, coronal temperature/optical-depth comparisons with external literature, and spin measurements validated against prior broadband spectroscopy—are self-contained spectral modeling exercises with independent benchmark comparisons and show no circularity. There is no load-bearing self-citation chain; self-citations to Mallick et al. (2022) and JJ19 provide data and context rather than forcing the f-inversion. Overall score 7: the manuscript contains substantial independent analysis, but its headline disk-to-corona power-transfer fraction validation is circular by inversion.
Assumptions & free parameters
free parameters (5)
- Disk electron density log n_e =
15 to 20 per source, e.g., Mrk 110: 18.0^{+1.5}_{-0.3}
- Viscosity parameter alpha =
0.1 (fixed)
- Disk radius r for f evaluation =
10 r_s (fixed)
- Emissivity break radius r_br =
6 r_g (fixed)
- Seed photon temperature =
50 eV (fixed)
assumptions (5)
- domain assumption SZ94 density formula (Eq. 1) for a radiation-pressure-dominated inner disk
- domain assumption The α-disk model (SS73) structure applies to the inner disk of these AGN
- domain assumption relxillCp reflection model correctly predicts soft excess, Fe K line and Compton hump for dense disks
- ad hoc to paper Broken power-law emissivity with qout = 3 and r_br = 6 r_g
- ad hoc to paper The measured reflection density corresponds to the SZ94 local density at a single radius
Cite this review
Pith. "Pith review of Constraining Disk-to-Corona Power Transfer Fraction, Soft X-ray Excess Origin, and Black Hole Spin Population of Type-1 AGN across Mass Scales." pith.science (2026). https://pith.science/paper/ELSGJPZL
@misc{pith2026250115380,
author = {Pith},
title = {Pith review of: Constraining Disk-to-Corona Power Transfer Fraction, Soft X-ray Excess Origin, and Black Hole Spin Population of Type-1 AGN across Mass Scales},
year = {2026},
howpublished = {\url{https://pith.science/paper/ELSGJPZL}},
note = {Machine review of arXiv:2501.15380}
}
abstract
Understanding the nature of the accretion disk, its interplay with the X-ray corona, and assessing black hole spin demographics remain open challenges in astrophysics. In this paper, we examine the predictions of the standard $\alpha$-disk model, origin of the puzzling soft X-ray excess, and measure the black hole spin parameter by applying an updated high-density disk reflection model to the XMM-Newton/NuSTAR broadband (0.3$-$78 keV) X-ray spectra of a sample of 11 Type-1 AGN. Our Bayesian analysis confirms that a variable-density relativistic disk reflection model with a broken power-law emissivity profile can simultaneously fit the soft X-ray excess, broad iron K line emission, and Compton hump in 3 out of 11 AGN. For the remaining sources, a distinct warm Comptonization component is still required, which supports a hybrid origin for the soft X-ray excess. The measured temperature and optical depth of the warm corona span nearly the entire theoretically allowed range, with median values of $0.43_{-0.18}^{+0.40}$ keV and $12.5_{-3.9}^{+3.1}$, respectively. Our first systematic calculation of the disk-to-corona power transfer fraction reveals that the fraction of power released from the accretion disk into the hot corona spans a wide range, with a sample median of $0.68_{-0.25}^{+0.25}$. The sample median values for the hot coronal plasma temperature and optical depth are $54_{-12}^{+11}$ keV and $0.98_{-0.28}^{+0.22}$, respectively. Finally, through both hard X-ray (3$-$78 keV) and broadband (0.3$-$78 keV) relativistic reflection spectroscopy, we systematically constrain the black hole spin parameter across the mass scales of $\log(M_{\rm BH}/M_{\odot}) \sim 5.5-9.0$, thereby increasing or refining the available spin measurements in the AGN population by $\sim$20%.
Figures
Figures from the paper (11 more)
Forward citations
Cited by 1 Pith paper
-
A possible two-fold scenario for the disc-corona of the luminous AGN 1H 0419--577: a high-density disc or a warm corona
Two competing disc-corona models, a high-density disc and a warm corona plus reflection, both fit the 2018 broadband X-ray spectra of the luminous AGN 1H 0419-577 equally well.
Reference graph
Works this paper leans on
-
[1]
, " * write output.state after.block = add.period write newline
ENTRY address archivePrefix author booktitle chapter doi edition editor eprint howpublished institution journal key month number organization pages publisher school series title misctitle type volume year version url label extra.label sort.label short.list INTEGERS output.state before.all mid.sentence after.sentence after.block FUNCTION init.state.consts ...
-
[2]
write newline
" write newline "" before.all 'output.state := FUNCTION format.url url empty "" new.block "" url * "" * if FUNCTION format.eprint eprint empty "" archivePrefix empty "" archivePrefix "arXiv" = new.block " " eprint * " " * new.block " " eprint * " " * if if if FUNCTION format.doi doi empty "" " " doi * " " * if FUNCTION format.pid doi empty eprint empty ur...
-
[3]
VdtJ3h\5[ 4<UR 'oOQ+g3l@S0c -]nRE[p?1p_urFVcCSnb *Il=Z'<p72ORsiR:2?)2NAe(`_c`1h-@-c/6'5-?I*=*g?l;LKuWk1 1Yscd9C;Z9JV+>`
thebibliography [1] 20pt to REFERENCES 6pt =0pt -12pt 10pt plus 3pt =0pt =0pt =1pt plus 1pt =0pt =0pt -12pt =13pt plus 1pt =20pt =13pt plus 1pt \@M =10000 =-1.0em =0pt =0pt 0pt =0pt =1.0em @enumiv\@empty 10000 10000 `\.\@m \@noitemerr \@latex@warning Empty `thebibliography' environment \@ifnextchar \@reference \@latexerr Missing key on reference command E...
2021
-
[4]
1974, IEEE Transactions on Automatic Control, 19, 716
Akaike , H. 1974, IEEE Transactions on Automatic Control, 19, 716
1974
-
[5]
2021, , 655, A60, 10.1051/0004-6361/202141186
Akylas , A., & Georgantopoulos , I. 2021, , 655, A60, 10.1051/0004-6361/202141186
-
[6]
1993, , 31, 473, 10.1146/annurev.aa.31.090193.002353
Antonucci , R. 1993, , 31, 473, 10.1146/annurev.aa.31.090193.002353
arXiv 1993
-
[7]
Arnaud , K. A. 1996, in Astronomical Society of the Pacific Conference Series, Vol. 101, Astronomical Data Analysis Software and Systems V, ed. G. H. Jacoby & J. Barnes , 17
1996
-
[8]
A., Branduardi-Raymont , G., Culhane , J
Arnaud , K. A., Branduardi-Raymont , G., Culhane , J. L., et al. 1985, , 217, 105, 10.1093/mnras/217.1.105
Show all 109 references
-
[9]
W., Dauser , T., et al
Bambi , C., Brenneman , L. W., Dauser , T., et al. 2021, , 217, 65, 10.1007/s11214-021-00841-8
2021 doi
-
[10]
M., Press , W
Bardeen , J. M., Press , W. H., & Teukolsky , S. A. 1972, , 178, 347, 10.1086/151796
1972 doi
-
[11]
2001, , 349, 125, 10.1016/S0370-1573(01)00019-9
Barkana , R., & Loeb , A. 2001, , 349, 125, 10.1016/S0370-1573(01)00019-9
2001 doi
-
[12]
C., Raimundo , S
Batiste , M., Bentz , M. C., Raimundo , S. I., Vestergaard , M., & Onken , C. A. 2017, , 838, L10, 10.3847/2041-8213/aa6571
2017 doi
- [13]
-
[14]
2008, , 684, 822, 10.1086/590379
Berti , E., & Volonteri , M. 2008, , 684, 822, 10.1086/590379
2008 doi
-
[15]
Blackburn , J. K. 1995, in Astronomical Society of the Pacific Conference Series, Vol. 77, Astronomical Data Analysis Software and Systems IV, ed. R. A. Shaw , H. E. Payne , & J. J. E. Hayes , 367
1995
- [16]
-
[17]
2024, Universe, 10, 276, 10.3390/universe10070276
Cappelluti , N., Foord , A., Marchesi , S., et al. 2024, Universe, 10, 276, 10.3390/universe10070276
2024 doi
-
[18]
2006, , 446, 459, 10.1051/0004-6361:20053893
Cappi , M., Panessa , F., Bassani , L., et al. 2006, , 446, 459, 10.1051/0004-6361:20053893
2006 doi
- [19]
-
[20]
M., Chauhan , J., et al
Chalise , S., Lohfink , A. M., Chauhan , J., et al. 2022, , 517, 4788, 10.1093/mnras/stac2953
2022 doi
-
[21]
2019, , 623, A79, 10.1051/0004-6361/201834560
Combes , F., Garc \' a-Burillo , S., Audibert , A., et al. 2019, , 623, A79, 10.1051/0004-6361/201834560
2019 doi
- [22]
-
[24]
L., Fabian, A
Dauser, T., García, J., Parker, M. L., Fabian, A. C., & Wilms, J. 2014, Monthly Notices of the Royal Astronomical Society: Letters, 444, L100, 10.1093/mnrasl/slu125
2014 doi
-
[26]
2023, , 525, 1479, 10.1093/mnras/stad2198
Di Matteo , T., Ni , Y., Chen , N., et al. 2023, , 525, 1479, 10.1093/mnras/stad2198
2023 doi
-
[27]
2005, , 433, 604, 10.1038/nature03335
Di Matteo , T., Springel , V., & Hernquist , L. 2005, , 433, 604, 10.1038/nature03335
2005 doi
-
[29]
J., McDowell , J
Elvis , M., Wilkes , B. J., McDowell , J. C., et al. 1994, , 95, 1, 10.1086/192093
1994 doi
-
[30]
Fabian , A. C. 1994, , 92, 555, 10.1086/192015
1994 doi
-
[31]
2012, , 50, 455, 10.1146/annurev-astro-081811-125521
---. 2012, , 50, 455, 10.1146/annurev-astro-081811-125521
2012 doi
-
[32]
C., Ballantyne , D
Fabian , A. C., Ballantyne , D. R., Merloni , A., et al. 2002, , 331, L35, 10.1046/j.1365-8711.2002.05419.x
2002
-
[33]
C., Iwasawa , K., Reynolds , C
Fabian , A. C., Iwasawa , K., Reynolds , C. S., & Young , A. J. 2000, , 112, 1145, 10.1086/316610
2000 doi
-
[34]
C., Lohfink , A., Kara , E., et al
Fabian , A. C., Lohfink , A., Kara , E., et al. 2015, , 451, 4375, 10.1093/mnras/stv1218
2015 doi
-
[35]
C., Rees , M
Fabian , A. C., Rees , M. J., Stella , L., & White , N. E. 1989, , 238, 729, 10.1093/mnras/238.3.729
1989 doi
-
[36]
2000, , 539, L9, 10.1086/312838
Ferrarese , L., & Merritt , D. 2000, , 539, L9, 10.1086/312838
2000 doi
-
[37]
Frank , J., King , A., & Raine , D. J. 2002, Accretion Power in Astrophysics: Third Edition
2002
-
[38]
J., et al
Gabriel , C., Denby , M., Fyfe , D. J., et al. 2004, in Astronomical Society of the Pacific Conference Series, Vol. 314, Astronomical Data Analysis Software and Systems (ADASS) XIII, ed. F. Ochsenbein , M. G. Allen , & D. Egret , 759
2004
-
[39]
S., et al
Garc \' a , J., Dauser , T., Reynolds , C. S., et al. 2013, , 768, 146, 10.1088/0004-637X/768/2/146
2013 doi
-
[40]
Garc \' a , J., & Kallman , T. R. 2010, , 718, 695, 10.1088/0004-637X/718/2/695
2010 doi
-
[41]
2014, , 782, 76, 10.1088/0004-637X/782/2/76
Garc \' a , J., Dauser , T., Lohfink , A., et al. 2014, , 782, 76, 10.1088/0004-637X/782/2/76
2014 doi
-
[42]
A., Fabian , A
Garc \' a , J. A., Fabian , A. C., Kallman , T. R., et al. 2016, , 462, 751, 10.1093/mnras/stw1696
2016 doi
-
[43]
A., Kara , E., Walton , D., et al
Garc \' a , J. A., Kara , E., Walton , D., et al. 2019, , 871, 88, 10.3847/1538-4357/aaf739
2019 doi
-
[44]
M., & Fabian , A
George , I. M., & Fabian , A. C. 1991, , 249, 352, 10.1093/mnras/249.2.352
1991 doi
-
[45]
2004, , 349, L7, 10.1111/j.1365-2966.2004.07687.x
Gierli \'n ski , M., & Done , C. 2004, , 349, L7, 10.1111/j.1365-2966.2004.07687.x
2004
-
[46]
2010, Communications in Applied Mathematics and Computational Science, 5, 65, 10.2140/camcos.2010.5.65
Goodman , J., & Weare , J. 2010, Communications in Applied Mathematics and Computational Science, 5, 65, 10.2140/camcos.2010.5.65
2010 doi
-
[47]
O., Gebhardt , K., et al
G \"u ltekin , K., Richstone , D. O., Gebhardt , K., et al. 2009, , 698, 198, 10.1088/0004-637X/698/1/198
2009 doi
- [48]
-
[49]
1993, , 413, 507, 10.1086/173020
Haardt , F., & Maraschi , L. 1993, , 413, 507, 10.1086/173020
1993 doi
-
[50]
2023, , 959, 39, 10.3847/1538-4357/ad029e
Harikane , Y., Zhang , Y., Nakajima , K., et al. 2023, , 959, 39, 10.3847/1538-4357/ad029e
2023 doi
-
[51]
A., Craig , W
Harrison , F. A., Craig , W. W., Christensen , F. E., et al. 2013, , 770, 103, 10.1088/0004-637X/770/2/103
2013 doi
-
[52]
2014, HEAsoft: Unified Release of FTOOLS and XANADU , Astrophysics Source Code Library, record ascl:1408.004
HEASARC . 2014, HEAsoft: Unified Release of FTOOLS and XANADU , Astrophysics Source Code Library, record ascl:1408.004
2014
-
[53]
M., & Best , P
Heckman , T. M., & Best , P. N. 2014, , 52, 589, 10.1146/annurev-astro-081913-035722
2014 doi
-
[54]
2020, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol
Heyl , J., Caiazzo , I., Gallagher , S., Hoffman , K., & Safi-Harb , S. 2020, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 11444, Space Telescopes and Instrumentation 2020: Ultraviolet to Gamma Ray, ed. J.-W. A. den Herder , S. Nikzad , ...
2020 doi
-
[55]
F., & Elvis , M
Hopkins , P. F., & Elvis , M. 2010, , 401, 7, 10.1111/j.1365-2966.2009.15643.x
2010
-
[56]
2001, , 365, L1, 10.1051/0004-6361:20000036
Jansen , F., Lumb , D., Altieri , B., et al. 2001, , 365, L1, 10.1051/0004-6361:20000036
2001 doi
-
[57]
1961, Theory of probability, Oxford University Press, London
Jeffreys, H. 1961, Theory of probability, Oxford University Press, London
1961
-
[58]
C., Dauser , T., et al
Jiang , J., Fabian , A. C., Dauser , T., et al. 2019 a , , 489, 3436, 10.1093/mnras/stz2326
2019 doi
-
[59]
M., & Davis , S
Jiang , Y.-F., Blaes , O., Stone , J. M., & Davis , S. W. 2019 b , , 885, 144, 10.3847/1538-4357/ab4a00
2019 doi
-
[60]
S., & Bleeker , J
Kaastra , J. S., & Bleeker , J. A. M. 2016, , 587, A151, 10.1051/0004-6361/201527395
2016 doi
-
[61]
2022, , 929, 141, 10.3847/1538-4357/ac5d49
Kang , J.-L., & Wang , J.-X. 2022, , 929, 141, 10.3847/1538-4357/ac5d49
2022 doi
-
[62]
E., & Raftery, A
Kass, R. E., & Raftery, A. E. 1995, Journal of the American Statistical Association, 90, 773. http://www.jstor.org/stable/2291091
1995
-
[63]
Kelly , B. C. 2007, , 665, 1489, 10.1086/519947
2007 doi
-
[64]
Kormendy , J., & Ho , L. C. 2013, , 51, 511, 10.1146/annurev-astro-082708-101811
2013 doi
- [65]
-
[66]
Mallick , L., & Dewangan , G. C. 2018, , 863, 178, 10.3847/1538-4357/aad193
2018 doi
-
[67]
C., McHardy , I
Mallick , L., Dewangan , G. C., McHardy , I. M., & Pahari , M. 2017, , 472, 174, 10.1093/mnras/stx1960
2017 doi
-
[68]
R., Alston , W
Mallick , L., Wilkins , D. R., Alston , W. N., et al. 2021, , 503, 3775, 10.1093/mnras/stab627
2021 doi
-
[69]
N., Parker , M
Mallick , L., Alston , W. N., Parker , M. L., et al. 2018, , 479, 615, 10.1093/mnras/sty1487
2018 doi
-
[70]
C., Garc \' a , J
Mallick , L., Fabian , A. C., Garc \' a , J. A., et al. 2022, , 513, 4361, 10.1093/mnras/stac990
2022 doi
-
[71]
2014, , 439, 3016, 10.1093/mnras/stu159
Matt , G., Marinucci , A., Guainazzi , M., et al. 2014, , 439, 3016, 10.1093/mnras/stu159
2014 doi
-
[72]
2019, NASA/IPAC Extragalactic Database (NED), IPAC, 10.26132/NED1
NASA/IPAC Extragalactic Database (NED) . 2019, NASA/IPAC Extragalactic Database (NED), IPAC, 10.26132/NED1
2019 doi
-
[73]
2015, , 53, 365, 10.1146/annurev-astro-082214-122302
Netzer , H. 2015, , 53, 365, 10.1146/annurev-astro-082214-122302
2015 doi
-
[74]
2020, , 895, 95, 10.3847/1538-4357/ab886e
Pacucci , F., & Loeb , A. 2020, , 895, 95, 10.3847/1538-4357/ab886e
2020 doi
- [75]
-
[76]
2024, , 976, 96, 10.3847/1538-4357/ad84f7
Pacucci , F., & Narayan , R. 2024, , 976, 96, 10.3847/1538-4357/ad84f7
2024 doi
- [77]
-
[78]
L., Pinto , C., Fabian , A
Parker , M. L., Pinto , C., Fabian , A. C., et al. 2017, , 543, 83, 10.1038/nature21385
2017 doi
-
[79]
O., Ursini , F., De Rosa , A., et al
Petrucci , P. O., Ursini , F., De Rosa , A., et al. 2018, , 611, A59, 10.1051/0004-6361/201731580
2018 doi
-
[80]
O., Haardt , F., Maraschi , L., et al
Petrucci , P. O., Haardt , F., Maraschi , L., et al. 2001, , 556, 716, 10.1086/321629
2001 doi
- [81]
-
[82]
L., et al
Pinto , C., Alston , W., Parker , M. L., et al. 2018, , 476, 1021, 10.1093/mnras/sty231
2018 doi
-
[83]
2024, , 681, A40, 10.1051/0004-6361/202347202
Porquet , D., Hagen , S., Grosso , N., et al. 2024, , 681, A40, 10.1051/0004-6361/202347202
2024 doi
-
[84]
N., Grosso , N., Braito , V., & Lobban , A
Porquet , D., Reeves , J. N., Grosso , N., Braito , V., & Lobban , A. 2021, , 654, A89, 10.1051/0004-6361/202141577
2021 doi
-
[85]
N., Matt , G., et al
Porquet , D., Reeves , J. N., Matt , G., et al. 2018, , 609, A42, 10.1051/0004-6361/201731290
2018 doi
-
[86]
I., Fabian , A
Raimundo , S. I., Fabian , A. C., Vasudevan , R. V., Gandhi , P., & Wu , J. 2012, , 419, 2529, 10.1111/j.1365-2966.2011.19904.x
2012
-
[87]
Rees , M. J. 1984, , 22, 471, 10.1146/annurev.aa.22.090184.002351
1984
-
[88]
E., Greene , J
Reines , A. E., Greene , J. E., & Geha , M. 2013, , 775, 116, 10.1088/0004-637X/775/2/116
2013 doi
-
[89]
Reynolds , C. S. 2021, , 59, 117, 10.1146/annurev-astro-112420-035022
2021 doi
-
[90]
S., Kara , E
Reynolds , C. S., Kara , E. A., Mushotzky , R. F., et al. 2023, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 12678, UV, X-Ray, and Gamma-Ray Space Instrumentation for Astronomy XXIII, ed. O. H. Siegmund & K. Hoadley , 126781E, 10.1117/12.2677468
2023 doi
-
[91]
J., et al
Ricci , C., Trakhtenbrot , B., Koss , M. J., et al. 2017, , 233, 17, 10.3847/1538-4365/aa96ad
2017 doi
-
[92]
R., & Fabian , A
Ross , R. R., & Fabian , A. C. 2005, , 358, 211, 10.1111/j.1365-2966.2005.08797.x
2005
-
[94]
B., Armitage , P
Salvesen , G., Simon , J. B., Armitage , P. J., & Begelman , M. C. 2016, , 457, 857, 10.1093/mnras/stw029
2016 doi
-
[95]
I., & Sunyaev , R
Shakura , N. I., & Sunyaev , R. A. 1973, , 24, 337
1973
- [96]
-
[97]
P., Garmire , G
Singh , K. P., Garmire , G. P., & Nousek , J. 1985, , 297, 633, 10.1086/163560
1985 doi
-
[98]
J., Best, N
Spiegelhalter, D. J., Best, N. G., Carlin, B. P., & Van Der Linde, A. 2002, Journal of the Royal Statistical Society: Series B (Statistical Methodology), 64, 583, 10.1111/1467-9868.00353
2002
-
[99]
A., & Titarchuk , L
Sunyaev , R. A., & Titarchuk , L. G. 1980, , 86, 121
1980
-
[100]
Svensson , R., & Zdziarski , A. A. 1994, , 436, 599, 10.1086/174934
1994 doi
-
[101]
M., Reeves , J
Tombesi , F., Sambruna , R. M., Reeves , J. N., Reynolds , C. S., & Braito , V. 2011, , 418, L89, 10.1111/j.1745-3933.2011.01149.x
2011
-
[102]
Tortosa , A., Bianchi , S., Marinucci , A., Matt , G., & Petrucci , P. O. 2018, , 614, A37, 10.1051/0004-6361/201732382
2018 doi
-
[103]
Van Rossum, G., & Drake, F. L. 2009, Python 3 Reference Manual (Scotts Valley, CA: CreateSpace)
2009
-
[104]
V., & Fabian , A
Vasudevan , R. V., & Fabian , A. C. 2007, , 381, 1235, 10.1111/j.1365-2966.2007.12328.x
2007
-
[105]
V., Fabian , A
Vasudevan , R. V., Fabian , A. C., Reynolds , C. S., et al. 2016, , 458, 2012, 10.1093/mnras/stw363
2016 doi
-
[106]
A., Ferland , G
Verner , D. A., Ferland , G. J., Korista , K. T., & Yakovlev , D. G. 1996, , 465, 487, 10.1086/177435
1996 doi
-
[107]
Volonteri , M., Madau , P., Quataert , E., & Rees , M. J. 2005, , 620, 69, 10.1086/426858
2005 doi
-
[108]
P., & Merloni , A
Volonteri , M., Sikora , M., Lasota , J. P., & Merloni , A. 2013, , 775, 94, 10.1088/0004-637X/775/2/94
2013 doi
-
[109]
R., Kara , E., Fabian , A
Wilkins , D. R., Kara , E., Fabian , A. C., & Gallo , L. C. 2014, , 443, 2746, 10.1093/mnras/stu1273
2014 doi
-
[110]
Willingale , R., Starling , R. L. C., Beardmore , A. P., Tanvir , N. R., & O'Brien , P. T. 2013, , 431, 394, 10.1093/mnras/stt175
2013 doi
-
[111]
2000, , 542, 914, 10.1086/317016
Wilms , J., Allen , A., & McCray , R. 2000, , 542, 914, 10.1086/317016
2000 doi
-
[112]
A., Johnson , W
Zdziarski , A. A., Johnson , W. N., & Magdziarz , P. 1996, , 283, 193, 10.1093/mnras/283.1.193
1996 doi
-
[113]
2021, , 650, A57, 10.1051/0004-6361/202140297
Zhao , X., Marchesi , S., Ajello , M., et al. 2021, , 650, A57, 10.1051/0004-6361/202140297
2021 doi
Reviewed August 10, 2026 · model on record in the stance chip above.
Discussion (0). Continue with ORCID to comment.