REVIEW 4 major objections 4 minor 109 references
The Galaxy Activity, Torus, and Outflow Survey (GATOS). VII. The 20-214 $\mu$m imaging atlas of active galactic nuclei using SOFIA
T0 review · 4 major / 4 minor · reviewed 2026-08-12 · deepseek-v4-flash
Pith's one-line read Nearby active galaxies emit most of their nuclear dust light near 40 microns, and the more luminous the nucleus, the shorter its spectral peak.
desk verdict Solid SOFIA/Herschel atlas of 22 nearby AGN; treat the ~40 um peak and luminosity correlation as suggestive, not measured to that precision. 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 analysis is carried by the atlas itself: 69 SOFIA/FORCAST (19.7–40 $\mu$m) and HAWC+ (53–214 $\mu$m) images of 22 AGN, complemented by Herschel 70–500 $\mu$m images and Spitzer/IRS spectra. The load-bearing tool is the flux extraction: point-like sources are measured with aperture photometry, while extended sources are fit with a two-component model in which the unresolved nucleus is a scaled standard-star point-spread function and the host galaxy is a single elongated 2D Gaussian plus a constant background, with 11 free parameters. This same model is applied to the Herschel images, producing the nuclear flux tables from which the SEDs, peak wavelengths, luminosities, and colors are all derived. PSF-subtracted residual images are what reveal extended AGN-heated structures such as the NLR dust in NGC 4388.
What would settle it
Re-analyze the same images with a host model that includes a stellar bar and a circumnuclear ring; if the average $\nu F_\nu$ peak moves away from ~40 $\mu$m or the luminosity–peak correlation disappears, the central result is an artifact of the Gaussian decomposition. A direct observational test is JWST/MIRI imaging at 20–28 $\mu$m of NGC 1068 and NGC 4388, which would resolve out the extended NLR dust and reveal whether the compact nucleus truly peaks near 40 $\mu$m.
Extended reading notes
Core claim
The paper's central discovery claim is that the several-arcsecond nuclear emission of nearby Seyferts, measured homogeneously from 20 to 500 $\mu$m, peaks on average at ~40 $\mu$m in $\nu F_\nu$. This peak lies longward of the 10–30 $\mu$m region where torus emission is usually characterized, and the authors attribute it to an unresolved extended dusty region heated by the AGN, with characteristic dust temperatures of 70–100 K. A secondary claim is that the peak wavelength anti-correlates with bolometric luminosity ($|R| \sim 0.63$, $p = 0.0015$), so more luminous AGN show hotter dust dominating their infrared output. The atlas also demonstrates a clean separation in NGC 4388 between narrow-line-region dust at 30–40 $\mu$m and host-galaxy dust at longer wavelengths.
Load-bearing premise
The extracted nuclear fluxes and the ~40 $\mu$m peak rest on the assumption that every unresolved nucleus is a scaled point-spread function sitting on a single smooth elliptical host component, so any real host structure (bars, rings, dust lanes) that the Gaussian cannot represent will bias the measured SED peak and the luminosity correlation.
Editorial extensions
If this is right
- The average ~40 $\mu$m peak implies that models of AGN dust must reproduce a substantial far-infrared bump longward of the classical 10–30 $\mu$m torus bands, meaning a significant fraction of the dust-reprocessed energy escapes in the 30–60 $\mu$m range.
- The luminosity–peak anti-correlation makes infrared color a rough luminosity diagnostic: brighter AGN will be identified by shorter-wavelength peaks and hotter dust.
- The NGC 4388 morphology switch shows that wavelength-dependent imaging can separate AGN-heated narrow-line-region dust from star-forming host dust without spectroscopy, which can sharpen color-based AGN selection.
- The elevated average $F_\nu(70)/F_\nu(160)$ ratio of 1.4 ± 0.7, compared with ~0.8 for larger star-formation-dominated samples, suggests far-infrared colors can pick out AGN-heated dust.
Reading between the lines
- If the 40 $\mu$m peak is generic across the AGN population, surveys that use single 20–30 $\mu$m bands (such as WISE 22 $\mu$m) may undercount the bolometric dust output of Seyferts; comparing WISE W4 fluxes against the 40 $\mu$m peaks in this atlas would test that directly.
- The unresolved extended dusty region may be the pc-scale dusty wind or NLR dust seen in interferometry; a test would be to compare the ~40 $\mu$m peak with subarcsecond interferometric sizes from instruments such as MATISSE to see whether the emitting region matches the dust sublimation radius or the NLR base.
- The 2D Gaussian decomposition could be stress-tested on simulated images containing bars and rings; a re-analysis with a multi-component host model would either confirm or shift the reported nuclear fluxes and peak wavelengths.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. This paper presents a SOFIA/FORCAST and HAWC+ imaging atlas of 22 nearby Seyfert AGN at 19.7–214 μm, supplemented by archival Herschel 70–500 μm data. The authors provide photometry and images for 69 observations, 41 of them previously unpublished, and classify most sources as point-like while identifying four extended systems (Centaurus A, Circinus, NGC 1068, NGC 4388). Resolved nuclear fluxes are obtained either by aperture photometry or by a PSF-plus-single-2D-Gaussian decomposition for extended emission. The paper constructs the resulting mid- to far-IR SEDs, reports that the average peak wavelength in νFν is about 40 μm, associates this with unresolved AGN-heated dusty emission, and claims a correlation between bolometric luminosity and peak wavelength. It also presents a mid- to far-IR color-color diagram and discusses AGN versus star-formation dominated sources.
Significance. If the central claims hold, the atlas is a valuable legacy dataset for studying the mid- to far-IR properties of local AGN, because it provides homogeneous SOFIA imaging across a wide wavelength range and the best-sampled 30–500 μm SEDs available for this sample. The paper's strengths are its careful documentation of the reductions, the explicit treatment of calibration and background uncertainties, and the public release of 41 new images. The conclusion that the typical νFν peak is near 40 μm is physically relevant for torus and dusty-outflow models, as it points to dust at roughly 70–100 K, and the color analysis provides a useful comparison with larger samples. However, the quantitative peak-wavelength claim is not yet supported to the precision implied by the abstract, because the peak positions are selected from a sparse wavelength grid and are sensitive to the host-subtraction assumptions. The atlas value alone supports publication after the central SED claims are either strengthened with an uncertainty analysis or softened.
major comments (4)
- [§4.1 and Figure 14] The extraction of unresolved nuclear fluxes for the four extended sources relies on an 11-parameter model in which the host is a single elongated 2D Gaussian plus a constant background, with the unresolved nucleus represented by the standard-star PSF. For Centaurus A, Circinus, NGC 1068, and NGC 4388, known host structures such as dust lanes, bars, and circumnuclear rings are not representable by one Gaussian, so the fitted PSF amplitude can be biased in either direction depending on whether the host is over- or under-subtracted. Because the SED peaks and the L_bol–λ_peak correlation in Sections 5 and 5.1 depend on these fluxes, please add a robustness test that varies the host model (for example, a two-Gaussian host or a PSF-amplitude perturbation on the 31.5–53 μm images) and quantify the resulting shift in the nuclear fluxes and in λ_peak.
- [§5 and Figure 7] The peak wavelength is determined from a coarse and non-uniform grid consisting of the Spitzer/IRS spectrum plus photometry at 31.5, 37.1, 53, 70, 89, and longer wavelengths. For most objects the maximum in νFν falls either on the last covered Spitzer wavelength or on one of the SOFIA/Herschel band centers, so the abstract's statement that the 'average peak wavelength' is about 40 μm is substantially a statement about the chosen wavelength grid rather than about a measured continuum peak. No per-object uncertainties on λ_peak are reported. Please report λ_peak with uncertainties, for example by bootstrap-perturbing the measured fluxes within the quoted errors and recomputing the peak, or by fitting a smooth interpolation to the νFν points; also state how the sample average changes if the 31.5 μm or the 37.1 μm point is dropped for objects where the peak falls on that point.
- [§5 and §4.2, NGC 4388] For NGC 4388, the SED points at 31.5 and 37.1 μm are total aperture fluxes, not PSF-subtracted nuclear fluxes, because the text states that almost all of the extended emission lies within the FWHM and that total fluxes are therefore used for the SED in the 30–40 μm range. These points include NLR dust and possibly host-galaxy emission and are not directly comparable with the PSF-extracted nuclear fluxes at longer wavelengths. Since this object contributes a short-wavelength peak to the sample average, the peak and the average should be re-evaluated using either aperture-matched measurements at all wavelengths or an explicit correction for the known NLR/host contribution.
- [§5.1 and Figure 8] The claimed correlation between L_bol and λ_peak (|R|≈0.63, p=0.0015) is presented without error bars on λ_peak, without stating whether R is a Pearson or Spearman coefficient, and without testing how the discrete sampling of λ_peak affects the result. With 22 objects and λ_peak taking only a few discrete values (for example 18–20, 31.5, 37.1, 53, or 70 μm), the significance may be inflated by the grid rather than by a physical trend. Please add a Monte Carlo test that perturbs fluxes within their uncertainties, recomputes λ_peak and the correlation each time, and report the resulting distribution of R and p; also provide a version of Figure 8 with horizontal error bars on λ_peak.
minor comments (4)
- [§1] The word 'organzed' in the paragraph beginning 'The manuscript is organzed as follows' is a typo and should read 'organized'.
- [Table 3] The row for NGC 4388 at 31.5 μm appears to list 'HA F545' as the mission/program identifier even though the observation was made with FORCAST; this is likely a typo and should be corrected to the appropriate FORCAST mission identifier.
- [§5.2] The text states 'Half (11) of the objects in the sample show ratios Fν(31)/Fν(70) < 1 while Fν(70)/Fν(160) > 1' and then lists 12 object names (Circinus, Mrk 231, Mrk 573, NGC 1275, NGC 2110, NGC 3081, NGC 3227, NGC 3281, NGC 4151, NGC 4941, NGC 5506, NGC 7469); the count or the list should be corrected.
- [§5, Figure 7] The text mentions that the Spitzer spectrum for NGC 1068 does not align with the SOFIA photometry because of PSF subtraction, but the same issue may affect other objects where Spitzer spectra are simply overplotted on photometry obtained with different apertures; a brief statement about the matching or non-matching of apertures for all objects would help readers interpret the SED peaks.
Circularity Check
No significant circularity: the reported peak wavelengths and the ~40 μm average are measured quantities from atlas photometry and archival spectra, not outputs of a model fitted to those same quantities.
full rationale
The paper is an observational atlas; its central claims are measurements rather than predictions from a model fitted to the same data. Nuclear fluxes are extracted by aperture photometry for point sources and by a two-component PSF + 2D Gaussian fit for the four extended sources (Section 4.1). The SED peak wavelengths are then read off the resulting SEDs: 'The peak wavelength, determined by the highest flux from photometry and spectroscopy, ranges from 18 to 100 μm in νFν with an average of ~40 μm' (Section 5). No parameter is fitted to the peak and then re-derived from it; the average is an arithmetic summary of the measured peaks. Prior GATOS/SOFIA papers (Fuller et al. 2016, 2019; Lopez-Rodriguez et al. 2018) are used as data and calibration references, not as the authority establishing the central claim. The abstract's phrase 'which we associate with an unresolved extended dusty region heated by the AGN' is explicitly an association, and Section 1 disclaims the full disentangling of emitting components ('we expect to disentangle the emission sources in a future study'). The NGC 4388 limitation ('only use the results in wavelengths ≳ 40 μm' and use total 30-40 μm fluxes that encompass the NLR extension) is a data-reduction caveat that could bias individual peaks, but it does not make the derivation circular. Sparse wavelength sampling between 31.5 and 53 μm and the absence of reported uncertainties on λ_peak are accuracy and robustness concerns, not logical circularity. No circular step can be quoted, so the score is 0.
Assumptions & free parameters
free parameters (4)
- PSF position and amplitude (4 fit parameters per image) =
per image
- Host galaxy 2D Gaussian parameters (7 fit parameters: x0, y0, sigma_x, sigma_y, amplitude, theta, constant background) =
per image
- Aperture radius =
2 x FWHM
- Herschel PSF model choice =
one of three PSF models compared
assumptions (5)
- domain assumption Standard-star PSFs accurately represent the on-sky SOFIA PSF for each observation
- domain assumption The host galaxy contribution can be approximated by a single 2D Gaussian with constant background
- domain assumption The SED peak in nuFnu traces the dominant AGN-heated dust component
- domain assumption Literature bolometric luminosities are accurate and uniformly defined
- domain assumption Spitzer/IRS spectra can be combined with SOFIA photometry to define the SED peak despite differing spatial scales
Cite this review
Pith. "Pith review of The Galaxy Activity, Torus, and Outflow Survey (GATOS). VII. The 20-214 $\mu$m imaging atlas of active galactic nuclei using SOFIA." pith.science (2026). https://pith.science/paper/QZPWFD6U
@misc{pith2026241118738,
author = {Pith},
title = {Pith review of: The Galaxy Activity, Torus, and Outflow Survey (GATOS). VII. The 20-214 $\mu$m imaging atlas of active galactic nuclei using SOFIA},
year = {2026},
howpublished = {\url{https://pith.science/paper/QZPWFD6U}},
note = {Machine review of arXiv:2411.18738}
}
abstract
We present a 19.7 - 214 $\mu$m imaging atlas of local (4 - 181 Mpc; median 43 Mpc) active galactic nuclei (AGN) observed with FORCAST and HAWC+ on board the SOFIA telescope with angular resolutions ~ 3"- 20". This atlas comprises 22 Seyferts (17 Type 2 and 5 Type 1) with a total of 69 images, 41 of which have not been previously published. The AGN span a range of luminosities of log$_{10}$ ($L_{bol}$ [erg/s]) = [42, 46] with a median of log$_{10}$ ($L_{bol}$ [erg/s]) = 44.1 $\pm$ 1.0. We provide total fluxes of our sample using aperture photometry for point source objects and a 2-D Gaussian fitting for objects with extended host galaxy emission, which was used to estimate the unresolved nuclear component. Most galaxies in our sample are point-like sources, however, four sources (Centaurus A, Circinus, NGC 1068, and NGC 4388) show extended emission in all wavelengths. The 30 - 40 $\mu$m extended emission in NGC 4388 is coincident with the narrow line region at PA ~ 50$^{\circ}$, while the dusty extension at longer wavelengths arises from the host galaxy at PA ~ 90$^{\circ}$. Our new observations allow us to construct the best sampled spectral energy distributions (SEDs) available between 30 - 500 $\mu$m for a sample of nearby AGN. We estimate that the average peak wavelength of the nuclear SEDs is ~ 40 $\mu$m in $\nu$F$_{\nu}$ , which we associate with an unresolved extended dusty region heated by the AGN.
Figures
Figures from the paper (10 more)
Reference graph
Works this paper leans on
-
[1]
- [1] #1 = = ^ ^ ^ .\!\!^ d .\!\!^ h .\!\!^ m .\!\!^ s .\!\!^ @mss
thebibliography [1] 20pt to REFERENCES 6pt =0pt 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 Each re...
2019
-
[2]
2011, , 736, 82, 10.1088/0004-637X/736/2/82
Alonso-Herrero , A., Ramos Almeida , C., Mason , R., et al. 2011, , 736, 82, 10.1088/0004-637X/736/2/82
-
[3]
2014, , 443, 2766, 10.1093/mnras/stu1293
Alonso-Herrero , A., Ramos Almeida , C., Esquej , P., et al. 2014, , 443, 2766, 10.1093/mnras/stu1293
-
[4]
Alonso-Herrero , A., Esquej , P., Roche , P. F., et al. 2016, , 455, 563, 10.1093/mnras/stv2342
-
[5]
2018, , 859, 144, 10.3847/1538-4357/aabe30
Alonso-Herrero , A., Pereira-Santaella , M., Garc \' a-Burillo , S., et al. 2018, , 859, 144, 10.3847/1538-4357/aabe30
-
[6]
Alonso-Herrero , A., Garc \' a-Burillo , S., H \"o nig , S. F., et al. 2021, , 652, A99, 10.1051/0004-6361/202141219
-
[7]
1993, , 31, 473, 10.1146/annurev.aa.31.090193.002353
Antonucci , R. 1993, , 31, 473, 10.1146/annurev.aa.31.090193.002353
arXiv 1993
-
[8]
Antonucci , R. R. J., & Miller , J. S. 1985, , 297, 621, 10.1086/163559
doi:10.1086/163559 1985
Show all 109 references
-
[9]
2019, , 489, 2177, 10.1093/mnras/stz2289
Asmus , D. 2019, , 489, 2177, 10.1093/mnras/stz2289
2019 doi
-
[10]
F., & Duschl , W
Asmus , D., Gandhi , P., Smette , A., H \"o nig , S. F., & Duschl , W. J. 2011, , 536, A36, 10.1051/0004-6361/201116693
2011 doi
-
[11]
2013, Sasmirala Subarcsecond mid-infrared atlas of local AGN , VO resource provided by the GAVO Data Center
Asmus, D., Hoenig, S., Gandhi, P., Smette, A., & Duschl, W. 2013, Sasmirala Subarcsecond mid-infrared atlas of local AGN , VO resource provided by the GAVO Data Center. http://dc.zah.uni-heidelberg.de/sasmirala/q/im/info
2013
-
[12]
F., & Gandhi , P
Asmus , D., H \"o nig , S. F., & Gandhi , P. 2016, , 822, 109, 10.3847/0004-637X/822/2/109
2016 doi
-
[13]
F., Gandhi , P., Smette , A., & Duschl , W
Asmus , D., H \"o nig , S. F., Gandhi , P., Smette , A., & Duschl , W. J. 2014, , 439, 1648, 10.1093/mnras/stu041
2014 doi
-
[14]
P., Tollerud , E
Astropy Collaboration , Robitaille , T. P., Tollerud , E. J., et al. 2013, , 558, A33, 10.1051/0004-6361/201322068
2013 doi
-
[15]
M., Sip o cz , B
Astropy Collaboration , Price-Whelan , A. M., Sip o cz , B. M., et al. 2018, , 156, 123, 10.3847/1538-3881/aabc4f
2018 doi
-
[16]
M., Lim , P
Astropy Collaboration , Price-Whelan , A. M., Lim , P. L., et al. 2022, apj, 935, 167, 10.3847/1538-4357/ac7c74
2022 doi
-
[17]
H., Tueller , J., Markwardt , C
Baumgartner , W. H., Tueller , J., Markwardt , C. B., et al. 2013, , 207, 19, 10.1088/0067-0049/207/2/19
2013 doi
-
[18]
J., Neugebauer , G., Matthews , K., et al
Bock , J. J., Neugebauer , G., Matthews , K., et al. 2000, , 120, 2904, 10.1086/316871
2000 doi
-
[19]
P., R \'o \.z a \'n ska , A., et al
Borkar , A., Adhikari , T. P., R \'o \.z a \'n ska , A., et al. 2021, , 500, 3536, 10.1093/mnras/staa3515
2021 doi
-
[20]
Burtscher , L., Meisenheimer , K., Tristram , K. R. W., et al. 2013, , 558, A149, 10.1051/0004-6361/201321890
2013 doi
- [21]
-
[22]
J., Cobb , M
Buta , R., Alpert , A. J., Cobb , M. L., Crocker , D. A., & Purcell , G. B. 1998, , 116, 1142, 10.1086/300494
1998 doi
- [23]
-
[24]
1995, , 448, 600, 10.1086/175989
Capetti , A., Macchetto , F., Axon , D., Sparks , W., & Boksenberg , A. 1995, , 448, 600, 10.1086/175989
1995 doi
-
[25]
J., Gallagher , John S., I., & Wyse , R
Conselice , C. J., Gallagher , John S., I., & Wyse , R. F. G. 2001, , 122, 2281, 10.1086/323534
2001 doi
-
[26]
I., Thomas , J., Genzel , R., et al
Davies , R. I., Thomas , J., Genzel , R., et al. 2006, , 646, 754, 10.1086/504963
2006 doi
-
[27]
2020, , 636, A73, 10.1051/0004-6361/201936817
Duras , F., Bongiorno , A., Ricci , F., et al. 2020, , 636, A73, 10.1051/0004-6361/201936817
2020 doi
-
[28]
T., Blandford , R
Emmering , R. T., Blandford , R. D., & Shlosman , I. 1992, , 385, 460, 10.1086/170955
1992 doi
-
[29]
C., Johnstone , R
Fabian , A. C., Johnstone , R. M., Sanders , J. S., et al. 2008, , 454, 968, 10.1038/nature07169
2008 doi
-
[30]
S., & Mulchaey , J
Ferruit , P., Wilson , A. S., & Mulchaey , J. 2000, , 128, 139, 10.1086/313379
2000 doi
-
[31]
2016, , 462, 2618, 10.1093/mnras/stw1780
Fuller , L., Lopez-Rodriguez , E., Packham , C., et al. 2016, , 462, 2618, 10.1093/mnras/stw1780
2016 doi
- [32]
-
[33]
W., Jaffe , W., et al
G \'a mez Rosas , V., Isbell , J. W., Jaffe , W., et al. 2022, , 602, 403, 10.1038/s41586-021-04311-7
2022 doi
-
[34]
2017, , 469, 110, 10.1093/mnras/stx795
Garc \' a-Bernete , I., Ramos Almeida , C., Landt , H., et al. 2017, , 469, 110, 10.1093/mnras/stx795
2017 doi
-
[35]
A., et al
Garc \' a-Bernete , I., Ramos Almeida , C., Acosta-Pulido , J. A., et al. 2015, , 449, 1309, 10.1093/mnras/stv338
2015 doi
-
[36]
A., et al
Garc \' a-Bernete , I., Ramos Almeida , C., Acosta-Pulido , J. A., et al. 2016, , 463, 3531, 10.1093/mnras/stw2125
2016 doi
-
[37]
2022 a , , 667, A140, 10.1051/0004-6361/202244230
Garc \' a-Bernete , I., Gonz \'a lez-Mart \' n , O., Ramos Almeida , C., et al. 2022 a , , 667, A140, 10.1051/0004-6361/202244230
2022 doi
-
[38]
2022 b , , 666, L5, 10.1051/0004-6361/202244806
Garc \' a-Bernete , I., Rigopoulou , D., Alonso-Herrero , A., et al. 2022 b , , 666, L5, 10.1051/0004-6361/202244806
2022 doi
-
[39]
2024, , 681, L7, 10.1051/0004-6361/202348266
Garc \' a-Bernete , I., Alonso-Herrero , A., Rigopoulou , D., et al. 2024, , 681, L7, 10.1051/0004-6361/202348266
2024 doi
-
[40]
2016, , 823, L12, 10.3847/2041-8205/823/1/L12
Garc \' a-Burillo , S., Combes , F., Ramos Almeida , C., et al. 2016, , 823, L12, 10.3847/2041-8205/823/1/L12
2016 doi
-
[41]
2019, , 632, A61, 10.1051/0004-6361/201936606
Garc \' a-Burillo , S., Combes , F., Ramos Almeida , C., et al. 2019, , 632, A61, 10.1051/0004-6361/201936606
2019 doi
-
[42]
2021, , 652, A98, 10.1051/0004-6361/202141075
Garc \' a-Burillo , S., Alonso-Herrero , A., Ramos Almeida , C., et al. 2021, , 652, A98, 10.1051/0004-6361/202141075
2021 doi
-
[43]
2016, , 458, 4512, 10.1093/mnras/stw626
Garc \' a-Gonz \'a lez , J., Alonso-Herrero , A., Hern \'a n-Caballero , A., et al. 2016, , 458, 4512, 10.1093/mnras/stw626
2016 doi
-
[44]
M., D \' az-Santos , T., et al
Gonz \'a lez-Mart \' n , O., Rodr \' guez-Espinosa , J. M., D \' az-Santos , T., et al. 2013, , 553, A35, 10.1051/0004-6361/201220382
2013 doi
- [45]
-
[46]
Harris , G. L. H., Rejkuba , M., & Harris , W. E. 2010, , 27, 457, 10.1071/AS09061
2010 doi
-
[47]
2015, , 803, 110, 10.1088/0004-637X/803/2/110
Hatziminaoglou , E., Hern \'a n-Caballero , A., Feltre , A., & Pi \ n ol Ferrer , N. 2015, , 803, 110, 10.1088/0004-637X/803/2/110
2015 doi
-
[48]
L., Adams , J
Herter , T. L., Adams , J. D., De Buizer , J. M., et al. 2012, , 749, L18, 10.1088/2041-8205/749/2/L18
2012 doi
-
[49]
A., Faber , S
Holtzman , J. A., Faber , S. M., Shaya , E. J., et al. 1992, , 103, 691, 10.1086/116094
1992 doi
-
[50]
H \"o nig , S. F. 2019, , 884, 171, 10.3847/1538-4357/ab4591
2019 doi
-
[51]
F., Kishimoto , M., Antonucci , R., et al
H \"o nig , S. F., Kishimoto , M., Antonucci , R., et al. 2012, , 755, 149, 10.1088/0004-637X/755/2/149
2012 doi
-
[52]
2017, , 835, 74, 10.3847/1538-4357/835/1/74
Ichikawa , K., Ricci , C., Ueda , Y., et al. 2017, , 835, 74, 10.3847/1538-4357/835/1/74
2017 doi
-
[53]
2018, , 853, L25, 10.3847/2041-8213/aaa8df
Imanishi , M., Nakanishi , K., Izumi , T., & Wada , K. 2018, , 853, L25, 10.3847/2041-8213/aaa8df
2018 doi
-
[54]
D., Wada , K., et al
Imanishi , M., Nguyen , D. D., Wada , K., et al. 2020, , 902, 99, 10.3847/1538-4357/abaf50
2020 doi
-
[55]
W., Meisenheimer , K., Pott , J
Isbell , J. W., Meisenheimer , K., Pott , J. U., et al. 2022, , 663, A35, 10.1051/0004-6361/202243271
2022 doi
-
[56]
2023, , 519, 5324, 10.1093/mnras/stac3827
Kakkad , D., Stalevski , M., Kishimoto , M., et al. 2023, , 519, 5324, 10.1093/mnras/stac3827
2023 doi
-
[57]
2008, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol
Kov \'a cs , A. 2008, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 7020, Millimeter and Submillimeter Detectors and Instrumentation for Astronomy IV, ed. W. D. Duncan , W. S. Holland , S. Withington , & J. Zmuidzinas , 70201S, 10.1117/12.790276
2008 doi
-
[58]
C., Dowell , C
Kov \'a cs , A., Chapman , S. C., Dowell , C. D., et al. 2006, , 650, 592, 10.1086/506341
2006 doi
-
[59]
J., Ghosh , T., Pedlar , A., et al
Kukula , M. J., Ghosh , T., Pedlar , A., et al. 1993, , 264, 893, 10.1093/mnras/264.4.893
1993 doi
-
[60]
J., Spoon , H
Lebouteiller , V., Barry , D. J., Spoon , H. W. W., et al. 2011, , 196, 8, 10.1088/0067-0049/196/1/8
2011 doi
-
[61]
M., Terndrup , D
Leighly , K. M., Terndrup , D. M., Baron , E., et al. 2014, , 788, 123, 10.1088/0004-637X/788/2/123
2014 doi
-
[62]
L \'o pez-Gonzaga , N., Burtscher , L., Tristram , K. R. W., Meisenheimer , K., & Schartmann , M. 2016, , 591, A47, 10.1051/0004-6361/201527590
2016 doi
-
[63]
L \'o pez-Gonzaga , N., Jaffe , W., Burtscher , L., Tristram , K. R. W., & Meisenheimer , K. 2014, , 565, A71, 10.1051/0004-6361/201323002
2014 doi
-
[64]
2021, Nature Astronomy, 5, 604, 10.1038/s41550-021-01329-9
Lopez-Rodriguez , E. 2021, Nature Astronomy, 5, 604, 10.1038/s41550-021-01329-9
2021 doi
-
[65]
2022 a , arXiv e-prints, arXiv:2207.09466
Lopez-Rodriguez , E., Kishimoto , M., Antonucci , R., et al. 2022 a , arXiv e-prints, arXiv:2207.09466. 2207.09466
2022 arXiv
- [66]
-
[67]
J., et al
Lopez-Rodriguez , E., Packham , C., Jones , T. J., et al. 2015, , 452, 1902, 10.1093/mnras/stv1410
2015 doi
-
[68]
2018, ArXiv e-prints
Lopez-Rodriguez , E., Fuller , L., Alonso-Herrero , A., et al. 2018, ArXiv e-prints. 1804.04134
2018 arXiv
-
[69]
D., Jones , T
Lopez-Rodriguez , E., Dowell , C. D., Jones , T. J., et al. 2020, , 888, 66, 10.3847/1538-4357/ab5849
2020 doi
-
[70]
2022 b , , 936, 65, 10.3847/1538-4357/ac83ac
Lopez-Rodriguez , E., Clarke , M., Shenoy , S., et al. 2022 b , , 936, 65, 10.3847/1538-4357/ac83ac
2022 doi
-
[71]
2004, , 351, 169, 10.1111/j.1365-2966.2004.07765.x
Marconi , A., Risaliti , G., Gilli , R., et al. 2004, , 351, 169, 10.1111/j.1365-2966.2004.07765.x
2004
-
[72]
Marinucci , A., Bianchi , S., Nicastro , F., Matt , G., & Goulding , A. D. 2012, , 748, 130, 10.1088/0004-637X/748/2/130
2012 doi
-
[73]
W., Mulchaey , J
Martini , P., Regan , M. W., Mulchaey , J. S., & Pogge , R. W. 2003, , 146, 353, 10.1086/367817
2003 doi
-
[74]
E., Geballe , T
Mason , R. E., Geballe , T. R., Packham , C., et al. 2006, , 640, 612, 10.1086/500299
2006 doi
-
[75]
E., Levenson , N
Mason , R. E., Levenson , N. A., Shi , Y., et al. 2009, , 693, L136, 10.1088/0004-637X/693/2/L136
2009 doi
-
[76]
E., Lopez-Rodriguez , E., Packham , C., et al
Mason , R. E., Lopez-Rodriguez , E., Packham , C., et al. 2012, , 144, 11, 10.1088/0004-6256/144/1/11
2012 doi
-
[77]
F., Shimizu , T
Mel \'e ndez , M., Mushotzky , R. F., Shimizu , T. T., Barger , A. J., & Cowie , L. L. 2014, , 794, 152, 10.1088/0004-637X/794/2/152
2014 doi
-
[78]
J., Speck , A., & Volk , K
Messenger , S. J., Speck , A., & Volk , K. 2013, , 764, 142, 10.1088/0004-637X/764/2/142
2013 doi
-
[79]
2012, , 420, 526, 10.1111/j.1365-2966.2011.20060.x
Mor , R., & Netzer , H. 2012, , 420, 526, 10.1111/j.1365-2966.2011.20060.x
2012
-
[80]
2009, , 705, 298, 10.1088/0004-637X/705/1/298
Mor , R., Netzer , H., & Elitzur , M. 2009, , 705, 298, 10.1088/0004-637X/705/1/298
2009 doi
-
[81]
S., Wilson , A
Mulchaey , J. S., Wilson , A. S., Bower , G. A., et al. 1994, , 433, 625, 10.1086/174671
1994 doi
-
[82]
M., Ivezi \'c , Z ., & Elitzur , M
Nenkova , M., Sirocky , M. M., Ivezi \'c , Z ., & Elitzur , M. 2008 a , , 685, 147, 10.1086/590482
2008 doi
-
[83]
M., Nikutta , R., Ivezi \'c , Z ., & Elitzur , M
Nenkova , M., Sirocky , M. M., Nikutta , R., Ivezi \'c , Z ., & Elitzur , M. 2008 b , , 685, 160, 10.1086/590483
2008 doi
-
[84]
T., Roche , P
Packham , C., Radomski , J. T., Roche , P. F., et al. 2005, , 618, L17, 10.1086/427691
2005 doi
-
[85]
W., & De Robertis , M
Pogge , R. W., & De Robertis , M. M. 1995, , 451, 585, 10.1086/176246
1995 doi
-
[86]
C., Brookes , M
Quillen , A. C., Brookes , M. H., Keene , J., et al. 2006, , 645, 1092, 10.1086/504418
2006 doi
-
[87]
2008, , 484, 341, 10.1051/0004-6361:20077444
Raban , D., Heijligers , B., R \"o ttgering , H., et al. 2008, , 484, 341, 10.1051/0004-6361:20077444
2008 doi
-
[88]
T., Pi \ n a , R
Radomski , J. T., Pi \ n a , R. K., Packham , C., et al. 2003, , 587, 117, 10.1086/367612
2003 doi
-
[89]
T., Packham , C., Levenson , N
Radomski , J. T., Packham , C., Levenson , N. A., et al. 2008, , 681, 141, 10.1086/587771
2008 doi
-
[90]
2017, Nature Astronomy, 1, 679, 10.1038/s41550-017-0232-z
Ramos Almeida , C., & Ricci , C. 2017, Nature Astronomy, 1, 679, 10.1038/s41550-017-0232-z
2017 doi
-
[91]
A., Rodr \' guez Espinosa , J
Ramos Almeida , C., Levenson , N. A., Rodr \' guez Espinosa , J. M., et al. 2009, , 702, 1127, 10.1088/0004-637X/702/2/1127
2009 doi
-
[92]
A., Alonso-Herrero , A., et al
Ramos Almeida , C., Levenson , N. A., Alonso-Herrero , A., et al. 2011, , 731, 92, 10.1088/0004-637X/731/2/92
2011 doi
-
[93]
S., Veilleux , S., & Sanders , D
Rupke , D. S., Veilleux , S., & Sanders , D. B. 2005, , 632, 751, 10.1086/444451
2005 doi
-
[94]
Rupke , D. S. N., & Veilleux , S. 2011, , 729, L27, 10.1088/2041-8205/729/2/L27
2011 doi
-
[95]
I., Sternberg , A., et al
Sani , E., Davies , R. I., Sternberg , A., et al. 2012, , 424, 1963, 10.1111/j.1365-2966.2012.21333.x
2012
-
[96]
Schinnerer , E., Eckart , A., & Tacconi , L. J. 2001, , 549, 254, 10.1086/319052
2001 doi
-
[97]
Stalevski , M., Asmus , D., & Tristram , K. R. W. 2017, , 472, 3854, 10.1093/mnras/stx2227
2017 doi
-
[98]
2023, , 519, 3237, 10.1093/mnras/stac3753
Stalevski , M., Gonz \'a lez-Gait \'a n , S., Savi \'c , D., et al. 2023, , 519, 3237, 10.1093/mnras/stac3753
2023 doi
-
[99]
Stalevski , M., Tristram , K. R. W., & Asmus , D. 2019, , 484, 3334, 10.1093/mnras/stz220
2019 doi
-
[100]
2022, , 926, 50, 10.3847/1538-4357/ac38a8
Takasao , S., Shuto , Y., & Wada , K. 2022, , 926, 50, 10.3847/1538-4357/ac38a8
2022 doi
-
[101]
Tristram , K. R. W., Burtscher , L., Jaffe , W., et al. 2014, , 563, A82, 10.1051/0004-6361/201322698
2014 doi
-
[102]
B., Rizzi , L., Shaya , E
Tully , R. B., Rizzi , L., Shaya , E. J., et al. 2009, , 138, 323, 10.1088/0004-6256/138/2/323
2009 doi
- [103]
- [104]
-
[105]
2020, , 900, 174, 10.3847/1538-4357/aba89f
Venanzi , M., H \"o nig , S., & Williamson , D. 2020, , 900, 174, 10.3847/1538-4357/aba89f
2020 doi
-
[106]
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
-
[107]
M., Meier , D
Young , L. M., Meier , D. S., Bureau , M., et al. 2021, , 909, 98, 10.3847/1538-4357/abe126
2021 doi
-
[108]
Yuan , F., Markoff , S., Falcke , H., & Biermann , P. L. 2002, , 391, 139, 10.1051/0004-6361:20020817
2002 doi
-
[109]
Zhang , L., & Ho , L. C. 2023, , 953, L9, 10.3847/2041-8213/acea73
2023 doi
Reviewed August 12, 2026 · model on record in the stance chip above.
Discussion (0). Continue with ORCID to comment.