REVIEW 3 major objections 4 minor 1 cited by
Chandra Follow-up Observations of Swift-BAT-selected AGNs III
T0 review · 3 major / 4 minor · reviewed 2026-08-09 · deepseek-v4-flash
Pith's one-line read Six local hard-X-ray sources missing from ROSAT were followed up with Chandra, and the paper identifies NGC 5759 as a strong new Compton-thick AGN candidate while showing that two torus models and two fitting methods give consistent…
desk verdict Careful NH measurements for six BAT-selected AGN, but the 'two CT candidates' headline contradicts the paper's own Compton-thin classification of CGCG 1822.3+2053. 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 argument is carried by joint fits of soft X-ray spectra (Chandra and XMM-Newton, roughly 1–9 keV) with hard X-ray spectra (Swift-BAT, 15–150 keV) through two torus reprocessing models: borus02, a uniform-density torus with conical polar cutouts, and UXCLUMPY, a clumpy torus made of spherical clouds. Both models compute the transmitted, reflected, and scattered components that dominate heavily obscured spectra, allowing the fit to separate the line-of-sight column from unconstrained torus-geometry parameters. The two regression methods are Levenberg-Marquardt least squares and nested sampling, whose full posteriors supply the Compton-thick probability; simpler fixed-geometry models (borus02*, MYTorus, and a plain absorbed power law for unobscured sources) serve as consistency checks on $N_{\rm H,l.o.s}$.
What would settle it
Take a NuSTAR observation of NGC 5759 deep enough to reveal the 10–40 keV Compton hump: if the joint fit with Swift-BAT drives the line-of-sight column below $1.5\times10^{24}$ cm$^{-2}$ and no strong reflection hump appears, the strong Compton-thick candidate classification would be refuted.
Extended reading notes
Core claim
On the paper's own terms, the central result is that six Swift-BAT-selected, ROSAT-missing AGN can be classified by short Chandra exposures combined with Swift-BAT and, where available, XMM-Newton spectra: the line-of-sight column density $N_{\rm H,l.o.s}$ is consistently recovered by the borus02 and UXCLUMPY torus models and by least-squares and Bayesian fits. From this sample the paper identifies NGC 5759 as a strong Compton-thick candidate, with Bayesian posterior probabilities of $N_{\rm H,l.o.s}>1.5\times10^{24}$ cm$^{-2}$ of 59.1% and 60.6% from the Chandra epoch and 84.1% and 86.3% from XMM-Newton; CGCG 1822.3+2053 is a weaker candidate, whose Chandra epoch has 18.3% and 10.4% posterior probability of being Compton-thick while the XMM-Newton epoch is Compton-thin. The paper also reports tentative line-of-sight column variability in 2MASX J17253053–4510279, whose small column ($N_{\rm H,l.o.s}<10^{22}$ cm$^{-2}$) differs between epochs with 89% posterior-mass non-overlap.
Load-bearing premise
The Compton-thick classifications rest on the assumption that the torus reflection models correctly separate light absorbed along the line of sight from light reprocessed by surrounding material, and that the Bayesian priors do not push the answer toward heavy obscuration when the spectra are sparse and the torus geometry is unconstrained.
Editorial extensions
If this is right
- If NGC 5759 is confirmed by the approved NuSTAR follow-up, the known local Compton-thick population grows by one, nudging the measured Compton-thick fraction toward the 30–50% level that cosmic X-ray background models require.
- The agreement between borus02 and UXCLUMPY on $N_{\rm H,l.o.s}$ across six sources supports short Chandra snapshots plus Swift-BAT as a screening step before expensive hard-X-ray confirmation observations.
- The two-epoch difference for CGCG 1822.3+2053 shows that a single soft-X-ray epoch is not enough to label a source thin or thick; simultaneous NuSTAR and XMM-Newton data will decide.
- The 89% variability probability in 2MASX J17253053–4510279 implies that some BAT-detected, ROSAT-missing sources are variable absorbers rather than persistently obscured nuclei, so this selection method catches changing obscuration as well as steady heavy columns.
- Posterior modes of unconstrained parameters should be read alongside relative entropy; in this sample the torus-geometry parameters are unconstrained while $N_{\rm H,l.o.s}$ is well measured.
Reading between the lines
- If NGC 5759 is confirmed, the local Compton-thick fraction should be recomputed with the new object included; with only ~66 NuSTAR-confirmed CT AGN, even a single addition changes demographic estimates used to test cosmic X-ray background models.
- The model-and-method consistency found here suggests that statistical uncertainty, not the choice of torus geometry, dominates the column-density error budget for low-count spectra; a natural next test is to run the same two-model, two-method protocol on sources with NuSTAR-confirmed status to calibrate the false-positive rate.
- The variability seen in 2MASX J17253053–4510279 implies that Compton-thick candidate catalogs built from non-simultaneous soft and hard observations may contain interlopers whose obscuration changed, and that future variability searches should report the relative-entropy diagnostic alongside posterior modes for every parameter.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. This paper presents Chandra snapshot spectroscopy for six hard-X-ray-selected AGN from the Swift-BAT catalog, jointly fit with Swift-BAT and, where available, XMM-Newton data. Two torus models (borus02 and UXCLUMPY) and two fitting methods (Levenberg-Marquardt and nested sampling) are used to measure line-of-sight column densities and to search for Compton-thick candidates. The authors report that NH,los is consistent across models and methods, identify a strong Compton-thick candidate (NGC 5759) and a weaker candidate (CGCG 1822.3+2053), and find tentative NH,los variability in 2MASX J17253053-4510279.
Significance. If the central classification claim is sustained, the paper would add one or two candidate Compton-thick AGN to the local census, which is directly relevant to the claimed mismatch between the observed and predicted obscured AGN fractions. The consistency of NH,los across borus02 and UXCLUMPY and across least-squares and Bayesian methods (Table 3) is a useful and credible result, and the paper is transparent about unconstrained torus parameters. The explicit relative-entropy diagnostic in Section 5.3 is a good methodological addition, and the code for that analysis is provided. However, the headline 'two candidates' claim is internally inconsistent with the paper's own detailed classifications, and the strongest candidate's classification rests on a posterior probability whose robustness is not demonstrated. These issues directly affect the paper's main conclusion rather than being presentation-level defects.
major comments (3)
- [Abstract and Section 4.5 / Table 4] The abstract's claim of 'one weaker CT candidate (CGCG 1822.3+2053)' is contradicted by Section 4.5, which explicitly classifies this source as 'an obscured, Compton-thin AGN' with P_xmm(CT) = 0.0% from both models and only 18.3% / 10.4% probability from the Chandra data. Section 6 repeats the candidate label. Because the XMM-Newton observation has about eight times more counts than the Chandra observation and yields zero posterior mass in the Compton-thick regime, the designation of this source as a CT candidate is not supported by the analysis as written. The abstract, summary, and classification criteria need to be revised to state that CGCG 1822.3+2053 is Compton-thin in the deeper observation, or the classification threshold must be defined in a way that justifies this label.
- [Section 6] The summary states that two of the obscured sources 'showing a nonzero probability of being Compton-thick' are CGCG 1822.3+2053 and NGC 5759, but Table 7 reports P_ch(CT) = 5.5% / 4.4% for IC 1141. By the paper's own 'nonzero probability' criterion, IC 1141 also qualifies, while by the thresholds implied in Section 4.5, CGCG 1822.3+2053 should not be called a candidate. The paper needs a single, explicit rule for what makes a source a CT candidate, and the abstract, Section 4, and Section 6 must all follow that rule consistently.
- [Section 4.2 and Table 6] The classification of NGC 5759 as a 'strong CT candidate' is more fragile than the abstract suggests. The LM fits prefer Compton-thin column densities (NH = 36-50 x 10^22 cm^-2 for Chandra, and XMM-Newton lower limits of 49-53 x 10^22 cm^-2, below the 150 x 10^22 cm^-2 CT threshold), while the Bayesian posteriors give P(CT) = 59-86% from data with only 36 Chandra counts. Given the paper's own warning in Section 5.3 that posterior modes and probabilities can be misleading when the relative entropy is low, the authors should justify why the posterior CT probability is not an artifact of prior volume or of the adopted reflection geometry, for example by showing prior-sensitivity tests or the relative entropy of the NH,los posterior. This is load-bearing because the strongest candidate claim rests on it.
minor comments (4)
- [Section 5.2] In the definition of Pvar, the text says the second posterior is also 'NH,cha' rather than 'NH,xmm'; this appears to be a typo and should be corrected.
- [Table 4] The table lists P_ch(CT) = 33.8% for the borus02* model, but the text in Section 4.5 only quotes the borus02 and UXCLUMPY values (18.3% and 10.4%). The discrepancy between the borus02* and borus02 values is not discussed and the reader cannot tell which value represents the paper's preferred estimate.
- [Section 5.3] The relative-entropy equation integrates over x but the parameter vector is multidimensional for the torus parameters; it would help to state explicitly that the entropy is computed separately for each marginalized one-dimensional posterior.
- [Appendix, Table 6] The text in Section 5.1 quotes a maximum-likelihood value of NH,xmm = 94 x 10^22 cm^-2 for NGC 5759, but this value does not appear in Table 6; the units or the table entry should be checked.
Circularity Check
No significant circularity: the N_H,l.o.s measurements and CT classifications are fitted to external Chandra/Swift-BAT/XMM-Newton data with public spectral models, and no predicted quantity reduces to a fitted input by construction.
full rationale
The paper's derivation chain is empirical spectral fitting, not a chain of definitions. For each source, N_H,l.o.s is obtained by fitting simultaneous Chandra, Swift-BAT, and (where available) XMM-Newton spectra with the public torus models borus02 and UXCLUMPY, with the priors and initial values stated in Table 2. The consistency claim ("we compare the results of the different models and methods and find that the N_H,l.o.s is consistently measured in each case") is an internal comparison of independently fitted quantities, not a prediction derived from a parameter that was itself fitted to define the claim. The CT-candidate labels are posterior probabilities computed from these fitted N_H,l.o.s distributions, so they are not circular even where they are statistically fragile. Section 5.3's warning that low-relative-entropy posterior modes may be "simply a random draw from the prior" is a robustness caveat, not a circularity; it does not show that the fitted N_H,l.o.s values are defined in terms of the conclusions. Self-citations to Silver et al. (2022a), Torres-Alba et al. (2021, 2023), and Zhao et al. (2021) are used for sample selection, methodological continuity, and typical frozen torus values in the borus02* check; the main analysis leaves the key parameters free, so these citations are not load-bearing in the sense of importing a uniqueness theorem or smuggling in an ansatz that fixes the result. The abstract's labeling of CGCG 1822.3+2053 as a "weaker CT candidate" is inconsistent with Section 4.5's explicit classification as Compton-thin with 0.0% XMM-Newton CT probability, and this is a substantive internal-consistency/correctness concern, but it is not circularity because no part of the classification reduces by construction to its own input. No equation in the paper equates the predicted N_H,l.o.s with a fitted parameter renamed, and no benchmark is defined in terms of the paper's own output. I therefore find no significant circularity.
Assumptions & free parameters
free parameters (8)
- Line-of-sight column density NH,los (per source/epoch) =
0.11 to 290 x 10^22 cm^-2 across sources (Table 3)
- Photon index Gamma (per source) =
1.4-2.4 depending on source/model
- Torus column density log(NH,tor) (borus02) =
Often unconstrained (e.g., 37 to 3200 x 10^22 cm^-2 for CGCG)
- Torus covering factor CF and inclination theta_inc =
Unconstrained in most fits
- UXCLUMPY sigma_tor and CTKcover =
Mostly unconstrained
- Normalization and scattering fraction fs =
Varies per source
- Cross-normalization constants C_XMM, C_BAT =
e.g., C_XMM ~0.6-2.2, C_BAT ~0.5-5.7
- Pileup parameter alpha (MCG+02-57-2) =
0.5-1.0
assumptions (5)
- domain assumption AGN X-ray emission is a central cutoff power law with a torus reprocessing component and line-of-sight photoelectric absorption plus Compton scattering.
- domain assumption borus02 and UXCLUMPY accurately describe the torus reflection and absorption for these sources.
- standard math C-statistic (cstat) provides valid goodness-of-fit and confidence intervals for binned Poisson spectra, with Delta C = 2.7 mapping to 90% confidence.
- domain assumption Multiplicative cross-normalization constants fully account for relative calibration between Chandra, XMM-Newton, and Swift-BAT.
- domain assumption Log-uniform priors on NH,los (0.1-500 x 10^22 cm^-2) are non-informative for CT classification.
Cite this review
Pith. "Pith review of Chandra Follow-up Observations of Swift-BAT-selected AGNs III." pith.science (2026). https://pith.science/paper/EAZNG73E
@misc{pith2026250118757,
author = {Pith},
title = {Pith review of: Chandra Follow-up Observations of Swift-BAT-selected AGNs III},
year = {2026},
howpublished = {\url{https://pith.science/paper/EAZNG73E}},
note = {Machine review of arXiv:2501.18757}
}
abstract
The cosmic X-ray background (CXB) is dominated by the obscured and unobscured coronal light of active galactic nuclei (AGN). At energies below 10 keV, the CXB can be well explained by models taking into account the known AGN and the observed distribution of their obscuring, line-of-sight column densities, $N_{\rm H,l.o.s}$. However, at energies around the Compton reflection hump ($\sim30$ keV), the models fall short of the data. This suggests the existence of a population of as yet undetected Compton-thick AGN ($N_{\rm H,l.o.s}>1.5\times10^{24}$ cm$^{-2}$) whose X-ray spectra are dominated by the light that has been reprocessed by the obscuring material. In this work, we continue the effort to find and catalog all local ($z<0.05$) Compton-thick (CT) AGN. To this end, we obtained soft X-ray data with Chandra for six local BAT detected sources lacking ROSAT (0.1-2.4 keV) counterparts, indicating potential obscuration. We fit their spectra with Bayesian and least squares methods using two different models, borus02 and UXCLUMPY. We compare the results of the different models and methods and find that the $N_{\rm H,l.o.s}$ is consistently measured in each case. Three of the sources also were observed with XMM-Newton allowing the opportunity to search for variability in soft X-ray flux or $N_{\rm H,l.o.s}$. From this sample, we find one strong CT candidate (NGC 5759) and one weaker CT candidate (CGCG 1822.3+2053). Furthermore, we find tentative evidence of $N_{\rm H,l.o.s}$ variability in 2MASX J17253053-4510279, which has $N_{\rm H,l.o.s}<10^{22}$ cm$^{-2}$.
Figures
Figures from the paper (14 more)
Forward citations
Cited by 1 Pith paper
-
X-ray Absorption Variability in NGC 1142: Another Constraint on the Nature of the Torus/Broad-Line Region in Active Galactic Nuclei
NGC 1142’s NH varies across nine epochs; detection probability scales with observation count, and simple cloud simulations favor many simultaneous eclipsing clouds.
Reference graph
Works this paper leans on
-
[1]
2008, , 689, 666, 10.1086/592595
Ajello , M., Greiner , J., Sato , G., et al. 2008, , 689, 666, 10.1086/592595
doi:10.1086/592595 2008
-
[2]
2008, The Astrophysical Journal, 673, 96
Ajello, M., Rau, A., Greiner, J., et al. 2008, The Astrophysical Journal, 673, 96
2008
-
[3]
Alexander , D. M., Bauer , F. E., Brandt , W. N., et al. 2003, , 126, 539, 10.1086/376473
doi:10.1086/376473 2003
-
[4]
Ananna , T. T., Treister , E., Urry , C. M., et al. 2019, , 871, 240, 10.3847/1538-4357/aafb77
-
[5]
1993, Annu
Antonucci, R. 1993, Annu. Rev. Astron. Astrophys, 473
1993
-
[6]
Ar \'e valo , P., Bauer , F. E., Puccetti , S., et al. 2014, , 791, 81, 10.1088/0004-637X/791/2/81
-
[7]
Balokovi \'c , M., Harrison , F. A., Madejski , G., et al. 2020, , 905, 41, 10.3847/1538-4357/abc342
-
[8]
Baloković, M., Brightman, M., Harrison, F. A., et al. 2018, ApJ, 854, 42, 10.3847/1538-4357/aaa7eb
Show all 86 references
-
[9]
D., Barbier , L
Barthelmy , S. D., Barbier , L. M., Cummings , J. R., et al. 2005, , 120, 143, 10.1007/s11214-005-5096-3
2005 doi
-
[10]
E., Ar \'e valo , P., Walton , D
Bauer , F. E., Ar \'e valo , P., Walton , D. J., et al. 2015, , 812, 116, 10.1088/0004-637X/812/2/116
2015 doi
-
[11]
2020, Journal of Applied Statistics, 47, 2044, 10.1080/02664763.2019.1704703
Bonamente , M. 2020, Journal of Applied Statistics, 47, 2044, 10.1080/02664763.2019.1704703
2020
-
[12]
G., Torres-Alb \`a , N., Annuar , A., et al
Boorman , P. G., Torres-Alb \`a , N., Annuar , A., et al. 2024, Frontiers in Astronomy and Space Sciences, 11, 1335459, 10.3389/fspas.2024.1335459
2024
-
[13]
2015, , 805, 41, 10.1088/0004-637X/805/1/41
Brightman , M., Balokovi \'c , M., Stern , D., et al. 2015, , 805, 41, 10.1088/0004-637X/805/1/41
2015 doi
-
[14]
2021, The Journal of Open Source Software, 6, 3001, 10.21105/joss.03001
Buchner , J. 2021, The Journal of Open Source Software, 6, 3001, 10.21105/joss.03001
2021 doi
-
[15]
2022, Research Notes of the American Astronomical Society, 6, 89, 10.3847/2515-5172/ac6b40
---. 2022, Research Notes of the American Astronomical Society, 6, 89, 10.3847/2515-5172/ac6b40
2022 doi
-
[16]
2023, Statistics Surveys, 17, 10.1214/23-ss144
Buchner, J. 2023, Statistics Surveys, 17, 10.1214/23-ss144
2023 doi
-
[17]
2023, Statistical Aspects of X-ray Spectral Analysis
Buchner, J., & Boorman, P. 2023, Statistical Aspects of X-ray Spectral Analysis. 2309.05705
2023 arXiv
-
[18]
Buchner, J., Brightman, M., Nandra, K., Nikutta, R., & Bauer, F. E. 2019, A&A, 629, A16, 10.1051/0004-6361/201834771
2019 doi
-
[19]
2014, , 564, A125, 10.1051/0004-6361/201322971
Buchner , J., Georgakakis , A., Nandra , K., et al. 2014, , 564, A125, 10.1051/0004-6361/201322971
2014 doi
-
[20]
2011, , 728, 58, 10.1088/0004-637X/728/1/58
Burlon , D., Ajello , M., Greiner , J., et al. 2011, , 728, 58, 10.1088/0004-637X/728/1/58
2011 doi
-
[21]
2017, , 837, 19, 10.3847/1538-4357/aa5ea4
Cappelluti , N., Li , Y., Ricarte , A., et al. 2017, , 837, 19, 10.3847/1538-4357/aa5ea4
2017 doi
-
[22]
R., & Elgamal , S
Chen , Y.-P., Zaw , I., Farrar , G. R., & Elgamal , S. 2022, , 258, 29, 10.3847/1538-4365/ac4157
2022 doi
- [23]
-
[24]
2024, Relative Entropy, v1.0.2, Zenodo, 10.5281/zenodo.14225570
Cox, I. 2024, Relative Entropy, v1.0.2, Zenodo, 10.5281/zenodo.14225570
2024 doi
-
[25]
Davis , J. E. 2001, , 562, 575, 10.1086/323488
2001 doi
-
[26]
2008, , 487, 119, 10.1051/0004-6361:20079319
Della Ceca , R., Caccianiga , A., Severgnini , P., et al. 2008, , 487, 119, 10.1051/0004-6361:20079319
2008 doi
-
[27]
C., Allen , G
Fruscione , A., McDowell , J. C., Allen , G. E., et al. 2006, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 6270, Observatory Operations: Strategies, Processes, and Systems, ed. D. R. Silva & R. E. Doxsey , 62701V, 10.1117/12.671760
2006 doi
-
[28]
Gandhi , P., & Fabian , A. C. 2003, , 339, 1095, 10.1046/j.1365-8711.2003.06259.x
2003
-
[29]
2007, Astronomy & Astrophysics, 474, 473
Garcet, O., Gandhi, P., Gosset, E., et al. 2007, Astronomy & Astrophysics, 474, 473
2007
-
[30]
1994, , 267, 743, 10.1093/mnras/267.3.743
Ghisellini , G., Haardt , F., & Matt , G. 1994, , 267, 743, 10.1093/mnras/267.3.743
1994 doi
-
[31]
2007, , 463, 79, 10.1051/0004-6361:20066334
Gilli , R., Comastri , A., & Hasinger , G. 2007, , 463, 79, 10.1051/0004-6361:20066334
2007 doi
- [32]
-
[33]
2021, PyXspec: Python interface to XSPEC spectral-fitting program , Astrophysics Source Code Library, record ascl:2101.014
Gordon , C., & Arnaud , K. 2021, PyXspec: Python interface to XSPEC spectral-fitting program , Astrophysics Source Code Library, record ascl:2101.014
2021
-
[34]
1993, , 413, 507, 10.1086/173020
Haardt , F., & Maraschi , L. 1993, , 413, 507, 10.1086/173020
1993 doi
-
[35]
A., Aird , J., Civano , F., et al
Harrison , F. A., Aird , J., Civano , F., et al. 2016, , 831, 185, 10.3847/0004-637X/831/2/185
2016 doi
- [36]
-
[37]
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
-
[38]
G., & Ricci , C
Kallov \'a , K., Boorman , P. G., & Ricci , C. 2024, , 966, 116, 10.3847/1538-4357/ad3235
2024 doi
-
[39]
2017, , 850, 74, 10.3847/1538-4357/aa8ec9
Koss , M., Trakhtenbrot , B., Ricci , C., et al. 2017, , 850, 74, 10.3847/1538-4357/aa8ec9
2017 doi
-
[40]
J., Assef, R., Balokovic, M., et al
Koss, M. J., Assef, R., Balokovic, M., et al. 2016, ApJ, 825, 85, 10.3847/0004-637X/825/2/85
2016 doi
-
[41]
J., Trakhtenbrot , B., Ricci , C., et al
Koss , M. J., Trakhtenbrot , B., Ricci , C., et al. 2022, , 261, 6, 10.3847/1538-4365/ac650b
2022 doi
-
[42]
Kullback, S., & Leibler, R. A. 1951, The annals of mathematical statistics, 22, 79
1951
-
[43]
2018, , 480, 2578, 10.1093/mnras/sty2025
Lanzuisi , G., Civano , F., Marchesi , S., et al. 2018, , 480, 2578, 10.1093/mnras/sty2025
2018 doi
-
[44]
2023, Astronomy & Astrophysics, 671, A152
Malizia, A., Bassani, L., Landi, R., et al. 2023, Astronomy & Astrophysics, 671, A152
2023
-
[45]
2017 a , , 836, 116, 10.3847/1538-4357/836/1/116
Marchesi , S., Ajello , M., Comastri , A., et al. 2017 a , , 836, 116, 10.3847/1538-4357/836/1/116
2017 doi
-
[46]
2018, , 854, 49, 10.3847/1538-4357/aaa410
Marchesi , S., Ajello , M., Marcotulli , L., et al. 2018, , 854, 49, 10.3847/1538-4357/aaa410
2018 doi
-
[47]
2017 b , , 848, 53, 10.3847/1538-4357/aa8ee6
Marchesi , S., Tremblay , L., Ajello , M., et al. 2017 b , , 848, 53, 10.3847/1538-4357/aa8ee6
2017 doi
-
[48]
2016, , 830, 100, 10.3847/0004-637X/830/2/100
Marchesi , S., Lanzuisi , G., Civano , F., et al. 2016, , 830, 100, 10.3847/0004-637X/830/2/100
2016 doi
-
[49]
2019, , 872, 8, 10.3847/1538-4357/aafbeb
Marchesi , S., Ajello , M., Zhao , X., et al. 2019, , 872, 8, 10.3847/1538-4357/aafbeb
2019 doi
-
[50]
Matt , G., & Fabian , A. C. 1994, , 267, 187, 10.1093/mnras/267.1.187
1994 doi
-
[51]
2014, Monthly Notices of the Royal Astronomical Society, 437, 3550
Merloni, A., Bongiorno, A., Brusa, M., et al. 2014, Monthly Notices of the Royal Astronomical Society, 437, 3550
2014
-
[52]
2014, , 437, 1776, 10.1093/mnras/stt2005
Miniutti , G., Sanfrutos , M., Beuchert , T., et al. 2014, , 437, 1776, 10.1093/mnras/stt2005
2014 doi
-
[53]
D., & Yaqoob, T
Murphy, K. D., & Yaqoob, T. 2009, Monthly Notices of the Royal Astronomical Society, 397, 1549, 10.1111/j.1365-2966.2009.15025.x
2009
-
[54]
Nandra , K., & Pounds , K. A. 1994, , 268, 405, 10.1093/mnras/268.2.405
1994 doi
-
[55]
B., et al
Oh , K., Koss , M., Markwardt , C. B., et al. 2018, , 235, 4, 10.3847/1538-4365/aaa7fd
2018 doi
-
[56]
2022, The Astrophysical Journal, 936, 149
Pizzetti, A., Torres-Alba, N., Marchesi, S., et al. 2022, The Astrophysical Journal, 936, 149
2022
-
[57]
submitted,
Pizzetti , A., Torres-Albà , N., Marchesi , S., et al. submitted,
-
[58]
N., & Turner , M
Reeves , J. N., & Turner , M. J. L. 2000, , 316, 234, 10.1046/j.1365-8711.2000.03510.x
2000
-
[59]
J., et al
Ricci , C., Ueda , Y., Koss , M. J., et al. 2015, , 815, L13, 10.1088/2041-8205/815/1/L13
2015 doi
-
[60]
E., et al
Ricci , F., Treister , E., Bauer , F. E., et al. 2022, , 261, 8, 10.3847/1538-4365/ac5b67
2022 doi
-
[61]
2007, , 659, L111, 10.1086/517884
Risaliti , G., Elvis , M., Fabbiano , G., et al. 2007, , 659, L111, 10.1086/517884
2007 doi
-
[62]
2001, , 371, 37, 10.1051/0004-6361:20010276
Risaliti , G., Marconi , A., Maiolino , R., Salvati , M., & Severgnini , P. 2001, , 371, 37, 10.1051/0004-6361:20010276
2001 doi
-
[63]
G., & Buchner , J
Saha , T., Markowitz , A. G., & Buchner , J. 2022, , 509, 5485, 10.1093/mnras/stab3250
2022 doi
-
[64]
Scott, D. W. 2015, Multivariate density estimation: theory, practice, and visualization (John Wiley & Sons)
2015
-
[65]
2010, Astronomy & Astrophysics, 510, A47
Segreto, A., Cusumano, G., Ferrigno, C., et al. 2010, Astronomy & Astrophysics, 510, A47
2010
-
[66]
2023, , 676, A103, 10.1051/0004-6361/202245646
Sengupta , D., Marchesi , S., Vignali , C., et al. 2023, , 676, A103, 10.1051/0004-6361/202245646
2023 doi
-
[67]
N., et al
Serafinelli , R., Braito , V., Reeves , J. N., et al. 2023, , 672, A10, 10.1051/0004-6361/202245224
2023 doi
-
[68]
T., Davies , R
Shimizu , T. T., Davies , R. I., Koss , M., et al. 2018, , 856, 154, 10.3847/1538-4357/aab09e
2018 doi
-
[69]
2022 a , , 932, 43, 10.3847/1538-4357/ac67a2
Silver , R., Torres-Alb \`a , N., Zhao , X., et al. 2022 a , , 932, 43, 10.3847/1538-4357/ac67a2
2022 doi
-
[70]
2022 b , , 940, 148, 10.3847/1538-4357/ac9bf8
---. 2022 b , , 940, 148, 10.3847/1538-4357/ac9bf8
2022 doi
-
[71]
L., Mushotzky, R
Smith, K. L., Mushotzky, R. F., Koss, M., et al. 2020, Monthly Notices of the Royal Astronomical Society, 492, 4216
2020
-
[72]
2014, , 788, 45, 10.1088/0004-637X/788/1/45
Toba , Y., Oyabu , S., Matsuhara , H., et al. 2014, , 788, 45, 10.1088/0004-637X/788/1/45
2014 doi
-
[73]
2023, , 678, A154, 10.1051/0004-6361/202345947
Torres-Alb \`a , N., Marchesi , S., Zhao , X., et al. 2023, , 678, A154, 10.1051/0004-6361/202345947
2023 doi
- [74]
-
[75]
2021, , 922, 159, 10.3847/1538-4357/ac1fee
Traina , A., Marchesi , S., Vignali , C., et al. 2021, , 922, 159, 10.3847/1538-4357/ac1fee
2021 doi
-
[76]
M., & Virani , S
Treister , E., Urry , C. M., & Virani , S. 2009, , 696, 110, 10.1088/0004-637X/696/1/110
2009 doi
-
[77]
Ueda , Y., Akiyama , M., Hasinger , G., Miyaji , T., & Watson , M. G. 2014, , 786, 104, 10.1088/0004-637X/786/2/104
2014 doi
- [78]
-
[79]
V., Brandt , W
Vasudevan , R. V., Brandt , W. N., Mushotzky , R. F., et al. 2013, , 763, 111, 10.1088/0004-637X/763/2/111
2013 doi
-
[80]
E., et al
Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nature Methods, 17, 261, 10.1038/s41592-019-0686-2
2020 doi
- [81]
-
[82]
1979, , 230, 274, 10.1086/157084
Wachter , K., Leach , R., & Kellogg , E. 1979, , 230, 274, 10.1086/157084
1979 doi
-
[83]
A., Fabian , A
Worsley , M. A., Fabian , A. C., Bauer , F. E., et al. 2005, , 357, 1281, 10.1111/j.1365-2966.2005.08731.x
2005
-
[84]
2019 a , , 871, 182, 10.3847/1538-4357/aaf80b
Zhao , X., Marchesi , S., & Ajello , M. 2019 a , , 871, 182, 10.3847/1538-4357/aaf80b
2019 doi
-
[85]
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
-
[86]
2019 b , , 870, 60, 10.3847/1538-4357/aaf1a0
---. 2019 b , , 870, 60, 10.3847/1538-4357/aaf1a0
2019 doi
Reviewed August 9, 2026 · model on record in the stance chip above.
Discussion (0). Continue with ORCID to comment.