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REVIEW 3 major objections 6 minor 109 references

A candidate for True Type-2 AGN without hidden central BLRs Identified by central Tidal Disruption Event

T0 review · 3 major / 6 minor · reviewed 2026-08-07 · deepseek-v4-flash

Pith's one-line read A tidal disruption event in a narrow-line AGN identifies it as a true Type-2 AGN with no hidden broad-line region.

desk verdict A clever single-object paper proposing TDE flares as a probe of unobscured Type-2 nuclei; the case is plausible but the SN alternative is not properly excluded. read the letter →

arxiv 2505.20821 v1 pith:5RGAVSFU submitted 2025-05-27 astro-ph.GA

classification astro-ph.GA
keywords truetype-2AGNtidaldisruptioneventbroad-lineregionactivegalacticnucleiopticalvariabilitySDSSJ233454.07+145712.9BPTdiagramblackholemass
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

The paper reports SDSS J233454.07+145712.9 as a candidate "true Type-2 AGN" (TT2AGN): an active galaxy whose spectrum shows only narrow emission lines not because the broad-line region is hidden behind dust, but because the broad-line region is absent. The key evidence is a bright optical flare in 18 years of survey light curves that the authors fit with a standard tidal disruption event model, implying a star was disrupted within tens of Schwarzschild radii of a $\sim10^7\,M_\odot$ black hole. Because the flare originates at the nucleus, its detection means the central region is directly in our line of sight, so the absence of broad Balmer lines in the archival spectrum cannot be blamed on obscuration. Spectroscopic analysis confirms AGN activity via BPT diagrams and rules out a broad-line component at better than 6-$\sigma$ confidence by comparing virial black-hole mass estimates with the $M_{\rm BH}$-$\sigma_*$ relation. The authors propose that searching for TDE flares in spectroscopically normal Type-2 AGN is a new practical route to identifying true Type-2 AGN.

What carries the argument

The mechanism that carries the argument is the tidal disruption event as a geometric line-of-sight probe. A TDE flare is produced by stellar debris falling onto the central supermassive black hole, with the emitting region extending out to roughly $R_{\rm out}\sim 7.6$-$16.6$ light-days; seeing such a flare in the CSS, PTF, PanSTARRS, and ZTF light curves tells us the nucleus is unobscured. The argument then couples this geometric fact with spectroscopic modeling: simple stellar population templates plus an AGN power-law continuum are subtracted from the archival spectrum, and the residual line spectrum is fit with narrow components plus blue-shifted wings. An alternative fit including a broad H$\alpha$ component is rejected by an F-test at better than 6-$\sigma$ confidence, and the broad-component virial mass is inconsistent with the $M_{\rm BH}$-$\sigma_*$ mass. The TDE model also independently gives a black-hole mass consistent with the $M_{\rm BH}$-$\sigma_*$ estimate, tying the two strands together.

What would settle it

Fit supernova light-curve templates to the CSS, PTF, and PanSTARRS photometry: if a supernova model matches the flare at least as well as the TDE model, the central-origin argument fails. Alternatively, a new spectrum taken during a future bright state that shows broad Balmer emission would directly refute the no-BLR claim; likewise, an X-ray spectrum showing a large column density would contradict the unobscured-nucleus inference.

Watch

Extended reading notes

Core claim

The central claim is that SDSS J2334 is a genuine candidate for a true Type-2 AGN, meaning it has no central broad-line region at all, rather than having one hidden by an obscuring torus. The argument combines two independent facts: a tidal disruption event is detected in optical light curves, proving that radiation from within about 20 light-days of the black hole reaches us unobscured; and a high-quality spectrum taken before the flare contains narrow emission lines but no broad Balmer components, with the virial black-hole mass implied by any assumed broad component disagreeing with the $M_{\rm BH}$-$\sigma_*$ expected mass by more than 6 $\sigma$. The TDE fit gives a black-hole mass of about $1.17\times10^7\,M_\odot$ and a disrupted main-sequence star of about $4.7\,M_\odot$. The authors conclude that the absence of broad lines is intrinsic, making SDSS J2334 a TT2AGN candidate and suggesting that detecting TDE flares in Type-2 AGN is a viable identification method.

Load-bearing premise

The load-bearing premise is that the 2009-2013 optical flare is a tidal disruption event at the galaxy's central black hole rather than a supernova or other transient, because only a central origin proves the nucleus is unobscured.

Editorial extensions

If this is right

  • If SDSS J2334 is a TT2AGN, then some Type-2 AGN classified by the unified model as obscured are actually unobscured objects without broad-line regions.
  • Detecting a TDE-like flare in a spectroscopically normal Type-2 AGN becomes a practical screening method: any Type-2 AGN showing a central flare is a candidate TT2AGN.
  • The absence of broad lines is not an artifact of a low signal-to-noise spectrum, because the virial-mass and M-sigma comparison rules out a hidden broad component at high confidence.
  • Future multi-epoch spectroscopy of SDSS J2334 can test the no-BLR interpretation by searching for virialized variability of any broad component.
  • The method can be applied to archival long-term light curves of other narrow-line AGN to build a sample of TT2AGN candidates.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • Beyond the paper, this method could be applied in reverse: cross-match archival light curves of all spectroscopically classified Type-2 AGN for TDE-shaped flares, then follow up candidates spectroscopically to map how often a missing BLR tracks an unobscured line of sight.
  • As an extension, an X-ray observation measuring the line-of-sight column density would independently test the unobscured-nucleus geometry: a low $N_{\rm H}$ would confirm the TDE-based inference, while a high $N_{\rm H}$ would challenge it.
  • A further testable consequence: if true Type-2 AGN are common, virial black-hole mass estimates for this population are systematically biased, and the discrepancy between virial and M-sigma masses could be used as a selection criterion to find more TT2AGN candidates in large spectroscopic surveys.
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Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

3 major / 6 minor

Summary. The paper proposes SDSS J233454.07+145712.9 as a candidate True Type-2 AGN (TT2AGN), i.e., an AGN whose central BLR is genuinely absent rather than hidden by dust. The argument has two pillars. First, using CSS, PTF, PanSTARRS, and ZTF light curves, the authors fit the 2009-2013 optical outburst with a tidal disruption event (TDE) model and derive a black hole mass of about 1.17e7 Msun, concluding that the central region within roughly 20 light-days is directly visible. Second, from an SDSS spectrum taken before the outburst, they argue that the AGN is genuine (BPT diagrams, power-law continuum, SED fit), that no broad Balmer lines are present (line-profile fitting and an F-test, supported by RCSED2), and that a virial mass from an assumed broad Halpha component would be inconsistent with the M-sigma relation at >6 sigma. The paper concludes that combining TDE variability with narrow-line-only spectroscopy is a new method for identifying TT2AGN candidates.

Significance. If the identification is correct, SDSS J2334 would be a rare and important object: a spectroscopically Type-2 AGN in which the absence of a BLR is inferred from an unobscured direct view of the central engine, rather than from a null detection that might be caused by dust. The paper has real strengths: it assembles a 20-year multi-survey optical data set, uses public TDE fitting codes (TDEFIT/MOSFIT), checks the TDE black hole mass against the independent M-sigma relation, cross-validates the spectroscopic decomposition against RCSED2, and explicitly acknowledges that multi-epoch spectroscopy is needed to confirm the result. The proposal to use TDE flares as line-of-sight probes in Type-2 AGN is methodologically interesting and potentially fruitful. However, the central claim is conditional on the outburst being a true nuclear TDE, and that key premise is not secured against alternative transient interpretations.

major comments (3)
  1. [Section 4.3] The dismissal of supernovae is a non-sequitur and is load-bearing for the whole TT2AGN claim. The text states that 'after considering the AGN-like spectroscopic features ... the model on supernovae should be disfavored,' but an AGN host galaxy can also host a supernova, and the pre-flare AGN classification does not exclude a nuclear or host-galaxy SN. No supernova light-curve model (SN Ia, IIn, or SLSN-I) is fitted or compared with the CSS/PTF/PanSTARRS data, even though SNe IIn and SLSNe can produce long-lived, slowly declining light curves with bumps. If the flare is a supernova, it provides no evidence that the central BLR region is unobscured, and the object could be an ordinary torus-obscured Type-2 AGN with a host SN. The authors should either fit representative SN models to the multiband light curves or provide quantitative constraints (e.g., color evolution, spectral classification, star-formation rate limits) that rule them out.
  2. [Section 3, Points 1 and 3 (Eqs. 5-6)] There is an internal contradiction in the no-BLR argument. Point 1 assumes E(B-V)=2.2, derived from the broad Halpha/Hbeta flux ratio, to argue that the broad Balmer lines are 'seriously' obscured and that the inferred virial black hole mass (1.8e8 Msun) should be considered a lower limit. Point 3 then compares the observed broad Halpha luminosity, without any extinction correction, with the luminosity expected from the unobscured continuum luminosity at 5100 A and concludes that 'there were few effects of obscurations.' If the broad component were reddened by E(B-V)=2.2, its observed luminosity would be suppressed by a large factor and would need to be corrected before the comparison in Eq. (6); if the broad Halpha luminosity is used as observed, the E(B-V)=2.2 assumption in Point 1 is unjustified. The authors need to state explicitly which extinction law and which assumption are being used in each step and reconcile the two statements.
  3. [Section 2] The TDE fit is presented as the key evidence that the central region is in the line of sight, but the quantitative quality of the fit is not shown for the bands that are not used in the primary fit. The best-fit TDE parameters are obtained from the CSS V-band light curve and then applied to the PTF and PanSTARRS bands with only the host magnitudes as free parameters, yet no chi-square values, residuals, or confidence bands are reported for those additional bands. In addition, the rebrightening bump about 900 days after peak is explicitly not modeled; the paper only notes that it falls within the confidence interval. Given that the TDE identification is the foundation of the unobscured-sightline claim, the authors should report fit statistics for all bands and discuss whether the bump is consistent with the model or hints at an additional component, such as a supernova.
minor comments (6)
  1. [Section 4 heading] The heading 'DISSCUSSION' should be corrected to 'DISCUSSION'.
  2. [Abstract] The phrase 'the to detect TDE expected flares' is ungrammatical; it should read something like 'that detecting TDE-expected flares in normal Type-2 AGN...'.
  3. [Section 5] In the concluding paragraph, 'SDSS J2234' is a typo for 'SDSS J2334'.
  4. [Section 4.1] The text 'In the left panel of Figure 3, the variation of WISE color (W1-W2) over time is displayed' appears to refer to the left panel of Figure 6, not Figure 3, whose left panels show the photometric image and surface brightness profile.
  5. [Table 1 notes] The table notes refer to '[N ii]λ5007Å', which appears to be a typo; the [N ii] line discussed is λ6583 Å.
  6. [Section 3] The F-test is used to compare models that are not obviously nested (e.g., the model with blue-shifted wings versus the model with an additional broad Gaussian component). A brief justification of nestedness or the use of an information criterion such as AIC/BIC would make the '6 sigma' preference claim more robust.

Circularity Check

0 steps flagged · score 0.0 of 10

No significant circularity: the TDE fit, M-sigma comparison, and spectral analysis are independent and empirically anchored.

full rationale

The paper's central claim—that SDSS J2334 is a candidate TT2AGN—rests on three independent lines of evidence. First, the TDE interpretation is obtained by fitting a public theoretical TDE model (MOSFIT/TDEFIT) to CSS, PTF, and PanSTARRS light curves; the fitted BH mass and stellar mass are free parameters, not derived from the TT2AGN hypothesis. Second, the disfavoring of broad Balmer emission is based on a comparison between a virial mass estimate (using the external R-L relation and the second moment of an assumed broad H-alpha component) and an M-sigma expected mass (using an external scaling relation calibrated on quiescent galaxies, RM AGN, and TDEs); this is an independent external benchmark, not an input to the fit. Third, the absence of hidden BLRs is supported by the measured narrow-line spectrum and F-test comparisons between models with and without broad components, which do not presuppose the conclusion. The 'expected broad H-alpha luminosity' check is a cross-consistency test, not a fitted quantity. The only mild concern is that several methodological citations are to the authors' own prior work (e.g., Y. Gu et al. 2024; X.-G. Zhang 2024), but these are procedural references to a standard public code and do not carry a load-bearing uniqueness or existence theorem. The 20-light-day size estimate is a derived consequence of the fitted BH mass, not a prediction forced by the input. The dismissal of supernova alternatives in Section 4.3 is logically weak (an AGN host can host a supernova), but that is a correctness risk, not circular reasoning. The derivation chain is therefore self-contained against external data and benchmarks, and no step reduces to its own input by construction.

Assumptions & free parameters 10 free parameters · 8 assumptions · 0 invented entities

The central inference is not a derivation; it is an argument that a central flare plus a no-broad-line spectrum implies a true Type-2 AGN. The free parameters are concentrated in the TDE fit, which is support for the flare's central origin, while the decisive assumption is the flare's central origin itself (axiom 6). No invented entities are introduced.

free parameters (10)
  • TDE black hole mass MBH = log(M_BH6)=1.07±0.24, about 11.7e6 Msun
    Fitted to the CSS V-band light curve via the TDE model (Section 2). It sets the expected tidal radius and debris distance used in the line-of-sight argument.
  • TDE stellar mass M* = log(M*/Msun)=0.65±0.21, about 4.7 Msun
    Fitted to the CSS V-band light curve; this is the mass of the disrupted star. The numerical value is not needed for the TT2AGN conclusion, but it is a fitted ingredient in the TDE interpretation.
  • Impact parameter beta = log(beta)=0.28±0.07
    Fitted TDE parameter in the fallback template.
  • Viscous time Tv = log(Tv)=-1.10±0.28
    Fitted TDE parameter controlling the delay of accretion.
  • Energy conversion efficiency eta = log(eta)=-1.08±0.32
    Fitted TDE parameter in the luminosity scaling.
  • Photosphere normalization R0 = log(R0)=-0.36±0.12
    Fitted photosphere parameter in Eq (2).
  • Photosphere power-law index lp = log(lp)=-0.78±0.54
    Fitted photosphere parameter in Eq (2).
  • Host galaxy magnitude in CSS V band mag0 = 17.26±0.02 mag
    Fitted host contribution in the CSS V band; the flare light curve is the total minus this host level.
  • Host galaxy magnitudes in PTF and PanSTARRS bands = not quoted individually
    Treated as free parameters when applying the TDE parameters to the PTF and PanSTARRS light curves (Section 2).
  • Reddening E(B-V) of assumed broad lines = about 2.2 mag
    Estimated in Section 3 from the broad Halpha/Hbeta flux ratio under the disfavored broad-line model, used to inflate the virial BH mass to 1.8e8 Msun.
assumptions (8)
  • domain assumption The public TDE models (TDEFIT/MOSFIT) with viscous-delayed accretion and a blackbody photosphere describe the observed optical flare.
    Invoked in Section 2 to fit the CSS V-band light curve and infer the TDE parameters. If this template family is wrong, the inferred BH mass and the claim of an unobscured central region do not follow.
  • domain assumption Main-sequence mass-radius relation of Tout et al. (1996) is valid for the disrupted star.
    Used in Section 2 to convert fitted stellar mass to radius in the TDE scaling relations.
  • domain assumption The MBH-sigma relation applies to SDSS J2334.
    Used in Section 3 to estimate a BH mass of about 1e7 Msun from stellar velocity dispersion, and then to compare with the virial mass from assumed broad lines. The paper justifies this with the Sersic n=4 profile and Galaxy Zoo elliptical probability.
  • domain assumption The Bentz et al. R-L relation gives the BLR radius from continuum luminosity.
    Used in Section 3, Eq (5), to estimate the virial BH mass from an assumed broad Halpha component.
  • domain assumption SSP subtraction with 39 templates plus a power-law continuum correctly separates host galaxy and AGN emission in the SDSS spectrum.
    All emission-line measurements and the M-sigma comparison depend on this decomposition; Section 3 top panels.
  • domain assumption The observed optical flare originates at the central black hole (TDE or central AGN flare), not in a supernova.
    The line-of-sight argument and the TT2AGN conclusion rest on this. Section 4.3 dismisses supernovae without quantitative model comparison.
  • standard math BPT diagram classification using Kewley et al. and Kauffmann et al. dividing lines identifies the ionization source as an AGN.
    Used in Section 3 to confirm AGN activity is present in SDSS J2334. This is standard.
  • domain assumption The 2001 SDSS spectrum predates the flare and is therefore not contaminated by TDE emission.
    The paper uses this to treat the narrow-line ratios as host-AGN properties. The spectrum is indeed from MJD 52234, before the MJD 53000+2100 flare, so this is reasonable.

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Cite this review

Pith. "Pith review of A candidate for True Type-2 AGN without hidden central BLRs Identified by central Tidal Disruption Event." pith.science (2026). https://pith.science/paper/5RGAVSFU

@misc{pith2026250520821,
  author       = {Pith},
  title        = {Pith review of: A candidate for True Type-2 AGN without hidden central BLRs Identified by central Tidal Disruption Event},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/5RGAVSFU}},
  note         = {Machine review of arXiv:2505.20821}
}
abstract

In this manuscript, through applications of TDE (tidal disruption event) expected variability properties, a potential candidate for True type-2 AGN without hidden central broad line regions (=TT2AGN) is reported in the SDSS J233454.07+145712.9 (=SDSS J2334). Through analyzing the 20-years optical light curves of SDSS J2334 from different Sky Survey projects, a TDE is preferred with a $4.7{\rm M_\odot}$ main-sequence star tidally disrupted by the central BH with mass $11.7\times 10^6{\rm M_\odot}$, indicating that central region within distance about 20 light-days to central BH in SDSS J2334 is directly in the line-of-sight. Moreover, AGN activities in SDSS J2334 can be confirmed through applications of BPT diagrams. Meanwhile, comparing virial BH mass determined through assumed broad Balmer emission components and M-sigma expected BH mass by well measured stellar velocity dispersion through stellar absorption features, optical broad emission lines in SDSS J2334 are disfavored with confidence level higher than 6$\sigma$. Therefore, combining the unique properties of the TDE and the spectroscopic results with only narrow emission lines, SDSS J2334 can be well identified as a potential candidate for a TT2AGN. The results indicate the to detect TDE expected flares in normal Type-2 AGN classified by spectroscopic results should be a new practicable method for identifying

Figures

Figures reproduced from arXiv: 2505.20821 by the authors.

Figure 1
Figure 1. The top panel shows the CSS V-band light curve (blue symbols) and the TDE model determined best descriptions (solid blue line) and the corresponding confidence bands (blue shaded area) determined by uncertainties of the model parameters. The remaining light curves are collected from the other projects, as shown in the legend in the top right corner. Solid lines in different colors show the best descriptions to the l… view at source ↗
Figure 2
Figure 2. Top panel shows the SDSS spectrum (in dark green) of SDSS J2334 and the SSP method determined best descriptions (in red) including the host galaxy contributions (in blue) and the AGN continuum emissions (in cyan), and the line spectrum in bottom region calculated by SDSS spectrum minus the host galaxy contributions plus the AGN continuum emissions. Bottom panel shows the corresponding results but without considerati… view at source ↗
Figure 3
Figure 3. Left panels: the photometric properties of SDSS J2334. The top left panel shows the r-band photometric image cut from the FITS (Flexible Image Transport System) image of the SDSS field, the red cross represents the peak value and the red dashed line represents the positions of obtaining the surface brightness profile. Here, the image is expanded from 10 × 10 pixels to 100 × 100 pixels using the linear interpolation … view at source ↗
Figures from the paper (3 more)
Figure 4
Figure 4. Figure 4: Top panels show the best descriptions (solid line in red) and the corresponding residuals (bottom region) (line spectrum minus the best descriptions and then divided by uncertainties of SDSS spectrum) to the emission lines (small circles plus error bars in dark green) …
Figure 5
Figure 5. Figure 5: SDSS J2334 (red asterisks) in the BPT diagrams of [O iii]/Hβ versus [N ii]/Hα (left panel), [O iii]/Hβ versus [S ii]/Hα (middle panel), and [O iii]/Hβ versus [O i]/Hα (right panel), where the contours filled by bluish colors represent properties of all narrow emission …
Figure 6
Figure 6. Figure 6: Left panel: W1-W2 evolution of SDSS J2334, with binning applied to the data for each observation period of approximately six months. The gray dashed line represents the average value during the post-flare period. Right panel: SED fitting for SDSS J2334. The black line …

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Works this paper leans on

109 extracted references · 21 canonical work pages

  1. [1]

    2020, ApJS, 249, 3, doi: 10.3847/1538-4365/ab929e

    Ahumada, R., Allende Prieto, C., Almeida, A., et al. 2020, ApJS, 249, 3, doi: 10.3847/1538-4365/ab929e

  2. [2]

    1993, ARA&A, 31, 473, doi: 10.1146/annurev.aa.31.090193.002353 13

    Antonucci, R. 1993, ARA&A, 31, 473, doi: 10.1146/annurev.aa.31.090193.002353 13

  3. [3]

    A panchromatic review of thermal and nonthermal active galactic nuclei

    Antonucci, R. 2012, Astronomical and Astrophysical Transactions, 27, 557, doi: 10.48550/arXiv.1210.2716

  4. [4]

    L., et al

    Anumarlapudi, A., Dobie, D., Kaplan, D. L., et al. 2024, ApJ, 974, 241, doi: 10.3847/1538-4357/ad64d3

  5. [5]

    J., Prieto, J

    Assef, R. J., Prieto, J. L., Stern, D., et al. 2018, ApJ, 866, 26, doi: 10.3847/1538-4357/aaddf7

  6. [6]

    F., Dickey, C., Geha, M., & Reines, A

    Baldassare, V. F., Dickey, C., Geha, M., & Reines, A. E. 2020, ApJL, 898, L3, doi: 10.3847/2041-8213/aba0c1

  7. [7]

    J., Voevodkin, A., Carson, D

    Barth, A. J., Voevodkin, A., Carson, D. J., & Woźniak, P. 2014, AJ, 147, 12, doi: 10.1088/0004-6256/147/1/12

  8. [8]

    C., Raimundo, S

    Batiste, M., Bentz, M. C., Raimundo, S. I., Vestergaard, M., & Onken, C. A. 2017, ApJL, 838, L10, doi: 10.3847/2041-8213/aa6571

Show all 109 references
  1. [9]

    C., Kulkarni, S

    Bellm, E. C., Kulkarni, S. R., Graham, M. J., et al. 2019, PASP, 131, 018002, doi: 10.1088/1538-3873/aaecbe

  2. [10]

    N., Treu, T., Ding, X., et al

    Bennert, V. N., Treu, T., Ding, X., et al. 2021, ApJ, 921, 36, doi: 10.3847/1538-4357/ac151a

  3. [11]

    C., Denney, K

    Bentz, M. C., Denney, K. D., Grier, C. J., et al. 2013, ApJ, 767, 149, doi: 10.1088/0004-637X/767/2/149

  4. [12]

    2012, MNRAS, 426, 3225, doi: 10.1111/j.1365-2966.2012.21959.x

    Bianchi, S., Panessa, F., Barcons, X., et al. 2012, MNRAS, 426, 3225, doi: 10.1111/j.1365-2966.2012.21959.x

  5. [13]

    2019, MNRAS, 488, L1, doi: 10.1093/mnrasl/slz080

    Bianchi, S., Antonucci, R., Capetti, A., et al. 2019, MNRAS, 488, L1, doi: 10.1093/mnrasl/slz080

  6. [14]

    2019, A&A, 622, A103, doi: 10.1051/0004-6361/201834156

    Boquien, M., Burgarella, D., Roehlly, Y., et al. 2019, A&A, 622, A103, doi: 10.1051/0004-6361/201834156

  7. [15]

    2008, MNRAS, 390, 1241, doi: 10.1111/j.1365-2966.2008.13841.x

    Brightman, M., & Nandra, K. 2008, MNRAS, 390, 1241, doi: 10.1111/j.1365-2966.2008.13841.x

  8. [16]

    S., Holoien, T

    Brown, J. S., Holoien, T. W. S., Auchettl, K., et al. 2017, MNRAS, 466, 4904, doi: 10.1093/mnras/stx033

  9. [17]

    2003, MNRAS, 344, 1000, doi: 10.1046/j.1365-8711.2003.06897.x Bruzual A., G., & Charlot, S

    Bruzual, G., & Charlot, S. 2003, MNRAS, 344, 1000, doi: 10.1046/j.1365-8711.2003.06897.x Bruzual A., G., & Charlot, S. 1993, ApJ, 405, 538, doi: 10.1086/172385

  10. [19]

    N., Kennea, J

    Burrows, D. N., Kennea, J. A., Ghisellini, G., et al. 2011, Nature, 476, 421, doi: 10.1038/nature10374

  11. [20]

    2010, ApJ, 724, 855, doi: 10.1088/0004-637X/724/2/855

    Cao, X. 2010, ApJ, 724, 855, doi: 10.1088/0004-637X/724/2/855

  12. [21]

    2017, MNRAS, 466, 798, doi: 10.1093/mnras/stw3020

    Cappellari, M. 2017, MNRAS, 466, 798, doi: 10.1093/mnras/stw3020

  13. [22]

    2013, MNRAS, 432, 1709, doi: 10.1093/mnras/stt562

    Cappellari, M., Scott, N., Alatalo, K., et al. 2013, MNRAS, 432, 1709, doi: 10.1093/mnras/stt562

  14. [23]

    V., Katkov, I

    Chilingarian, I. V., Katkov, I. Y., Zolotukhin, I. Y., et al. 2018, ApJ, 863, 1, doi: 10.3847/1538-4357/aad184

  15. [24]

    V., Zolotukhin, I

    Chilingarian, I. V., Zolotukhin, I. Y., Katkov, I. Y., et al. 2017, ApJS, 228, 14, doi: 10.3847/1538-4365/228/2/14 Cid Fernandes, R., Mateus, A., Sodré, L., Stasińska, G., &

  16. [25]

    Gomes, J. M. 2005, MNRAS, 358, 363, doi: 10.1111/j.1365-2966.2005.08752.x Cid Fernandes, R., Stasińska, G., Mateus, A., & Vale Asari, N. 2011, MNRAS, 413, 1687, doi: 10.1111/j.1365-2966.2011.18244.x

  17. [26]

    A., & Sutherland, R

    Dopita, M. A., & Sutherland, R. S. 1996, ApJS, 102, 161, doi: 10.1086/192255

  18. [27]

    J., Djorgovski, S

    Drake, A. J., Djorgovski, S. G., Graham, M. J., et al. 2019, MNRAS, 482, 98, doi: 10.1093/mnras/sty2673

  19. [28]

    J., Djorgovski, S

    Drake, A. J., Djorgovski, S. G., Mahabal, A., et al. 2009, ApJ, 696, 870, doi: 10.1088/0004-637X/696/1/870

  20. [29]

    2012, ApJL, 747, L33, doi: 10.1088/2041-8205/747/2/L33

    Elitzur, M. 2012, ApJL, 747, L33, doi: 10.1088/2041-8205/747/2/L33

  21. [30]

    Elitzur, M., & Ho, L. C. 2009, ApJL, 701, L91, doi: 10.1088/0004-637X/701/2/L91

  22. [31]

    2016, MNRAS, 459, 585, doi: 10.1093/mnras/stw657

    Elitzur, M., & Netzer, H. 2016, MNRAS, 459, 585, doi: 10.1093/mnras/stw657

  23. [32]

    2000, ApJL, 539, L9, doi: 10.1086/312838

    Ferrarese, L., & Merritt, D. 2000, ApJL, 539, L9, doi: 10.1086/312838

  24. [33]

    W., Lang, D., & Goodman, J

    Foreman-Mackey, D., Hogg, D. W., Lang, D., & Goodman, J. 2013, PASP, 125, 306, doi: 10.1086/670067

  25. [34]

    2000, ApJL, 539, L13, doi: 10.1086/312840

    Gebhardt, K., Bender, R., Bower, G., et al. 2000, ApJL, 539, L13, doi: 10.1086/312840

  26. [35]

    2021, ARA&A, 59, 21, doi: 10.1146/annurev-astro-111720-030029

    Gezari, S. 2021, ARA&A, 59, 21, doi: 10.1146/annurev-astro-111720-030029

  27. [36]

    C., Milliard, B., et al

    Gezari, S., Martin, D. C., Milliard, B., et al. 2006, ApJL, 653, L25, doi: 10.1086/509918

  28. [37]

    2012, Nature, 485, 217, doi: 10.1038/nature10990

    Gezari, S., Chornock, R., Rest, A., et al. 2012, Nature, 485, 217, doi: 10.1038/nature10990

  29. [38]

    A., Boyce, M

    Gordon, Y. A., Boyce, M. M., O’Dea, C. P., et al. 2021, ApJS, 255, 30, doi: 10.3847/1538-4365/ac05c0

  30. [39]

    J., Djorgovski, S

    Graham, M. J., Djorgovski, S. G., Drake, A. J., et al. 2017, MNRAS, 470, 4112, doi: 10.1093/mnras/stx1456

  31. [40]

    E., & Ho, L

    Greene, J. E., & Ho, L. C. 2005a, ApJ, 627, 721, doi: 10.1086/430590

  32. [41]

    E., & Ho, L

    Greene, J. E., & Ho, L. C. 2005b, ApJ, 630, 122, doi: 10.1086/431897

  33. [42]

    E., Ho, L

    Greene, J. E., Ho, L. C., & Barth, A. J. 2008, ApJ, 688, 159, doi: 10.1086/592078

  34. [43]

    A., Chilingarian, I

    Grishin, K. A., Chilingarian, I. V., Combes, F., et al. 2025, arXiv e-prints, arXiv:2502.13202, doi: 10.48550/arXiv.2502.13202

  35. [44]

    2024, MNRAS, doi: 10.1093/mnras/stae2816

    Gu, Y., Zhang, X.-G., Chen, X.-Q., Yang, X., & Liang, E.-W. 2024, MNRAS, doi: 10.1093/mnras/stae2816

  36. [45]

    2014, ApJ, 783, 23, doi: 10.1088/0004-637X/783/1/23

    Guillochon, J., Manukian, H., & Ramirez-Ruiz, E. 2014, ApJ, 783, 23, doi: 10.1088/0004-637X/783/1/23

  37. [46]

    A., et al

    Guillochon, J., Nicholl, M., Villar, V. A., et al. 2018, ApJS, 236, 6, doi: 10.3847/1538-4365/aab761 14

  38. [47]

    2013, ApJ, 767, 25, doi: 10.1088/0004-637X/767/1/25

    Guillochon, J., & Ramirez-Ruiz, E. 2013, ApJ, 767, 25, doi: 10.1088/0004-637X/767/1/25

  39. [48]

    2025, ApJ, 979, 235, doi: 10.3847/1538-4357/ada274

    Guo, H., Sun, J., Li, S., et al. 2025, ApJ, 979, 235, doi: 10.3847/1538-4357/ada274

  40. [49]

    L., McConnell, D., Thomson, A

    Hale, C. L., McConnell, D., Thomson, A. J. M., et al. 2021, PASA, 38, e058, doi: 10.1017/pasa.2021.47

  41. [50]

    2023, ApJ, 942, 9, doi: 10.3847/1538-4357/aca283

    Hammerstein, E., van Velzen, S., Gezari, S., et al. 2023, ApJ, 942, 9, doi: 10.3847/1538-4357/aca283

  42. [51]

    Hawkins, M. R. S. 2004, A&A, 424, 519, doi: 10.1051/0004-6361:20041127

  43. [52]

    C., & Kim, M

    Ho, L. C., & Kim, M. 2014, ApJ, 789, 17, doi: 10.1088/0004-637X/789/1/17

  44. [53]

    C., Kim, M., & Terashima, Y

    Ho, L. C., Kim, M., & Terashima, Y. 2012, ApJL, 759, L16, doi: 10.1088/2041-8205/759/1/L16

  45. [54]

    2011, ApJL, 734, L16, doi: 10.1088/2041-8205/734/1/L16

    Huang, X.-X., Wang, J.-X., Tan, Y., Yang, H., & Huang, Y.-F. 2011, ApJL, 734, L16, doi: 10.1088/2041-8205/734/1/L16

  46. [55]

    2015, ApJ, 803, 57, doi: 10.1088/0004-637X/803/2/57

    Ichikawa, K., Packham, C., Ramos Almeida, C., et al. 2015, ApJ, 803, 57, doi: 10.1088/0004-637X/803/2/57

  47. [56]

    2017, Nature Astronomy, 1, 865, doi: 10.1038/s41550-017-0290-2

    Kankare, E., Kotak, R., Mattila, S., et al. 2017, Nature Astronomy, 1, 865, doi: 10.1038/s41550-017-0290-2

  48. [57]

    M., Tremonti, C., et al

    Kauffmann, G., Heckman, T. M., Tremonti, C., et al. 2003, MNRAS, 346, 1055, doi: 10.1111/j.1365-2966.2003.07154.x

  49. [58]

    J., Dopita, M

    Kewley, L. J., Dopita, M. A., Sutherland, R. S., Heisler, C. A., & Trevena, J. 2001, ApJ, 556, 121, doi: 10.1086/321545

  50. [59]

    J., Groves, B., Kauffmann, G., & Heckman, T

    Kewley, L. J., Groves, B., Kauffmann, G., & Heckman, T. 2006, MNRAS, 372, 961, doi: 10.1111/j.1365-2966.2006.10859.x

  51. [60]

    Kormendy, J., & Ho, L. C. 2013, ARA&A, 51, 511, doi: 10.1146/annurev-astro-082708-101811

  52. [61]

    A., Chandler, C

    Lacy, M., Baum, S. A., Chandler, C. J., et al. 2020, PASP, 132, 035001, doi: 10.1088/1538-3873/ab63eb

  53. [62]

    M., Kulkarni, S

    Law, N. M., Kulkarni, S. R., Dekany, R. G., et al. 2009, PASP, 121, 1395, doi: 10.1086/648598

  54. [63]

    Y., et al

    Li, Y., Yuan, W., Zhou, H. Y., et al. 2015, AJ, 149, 75, doi: 10.1088/0004-6256/149/2/75

  55. [64]

    2011, MNRAS, 410, 166, doi: 10.1111/j.1365-2966.2010.17432.x

    Lintott, C., Schawinski, K., Bamford, S., et al. 2011, MNRAS, 410, 166, doi: 10.1111/j.1365-2966.2010.17432.x

  56. [65]

    2022, ApJ, 925, 67, doi: 10.3847/1538-4357/ac33a9

    Liu, X.-L., Dou, L.-M., Chen, J.-H., & Shen, R.-F. 2022, ApJ, 925, 67, doi: 10.3847/1538-4357/ac33a9

  57. [66]

    M., et al

    Mainzer, A., Bauer, J., Cutri, R. M., et al. 2014, ApJ, 792, 30, doi: 10.1088/0004-637X/792/1/30

  58. [67]

    J., Laher, R

    Masci, F. J., Laher, R. R., Rusholme, B., et al. 2023, arXiv e-prints, arXiv:2305.16279, doi: 10.48550/arXiv.2305.16279

  59. [68]

    2018, Science, 361, 482, doi: 10.1126/science.aao4669

    Mattila, S., Pérez-Torres, M., Efstathiou, A., et al. 2018, Science, 361, 482, doi: 10.1126/science.aao4669

  60. [69]

    L., Lenc, E., et al

    McConnell, D., Hale, C. L., Lenc, E., et al. 2020, PASA, 37, e048, doi: 10.1017/pasa.2020.41

  61. [70]

    J., & Ma, C.-P

    McConnell, N. J., & Ma, C.-P. 2013, ApJ, 764, 184, doi: 10.1088/0004-637X/764/2/184

  62. [71]

    2015, MNRAS, 452, 69, doi: 10.1093/mnras/stv1095

    Merloni, A., Dwelly, T., Salvato, M., et al. 2015, MNRAS, 452, 69, doi: 10.1093/mnras/stv1095

  63. [72]

    2019, ApJ, 872, 151, doi: 10.3847/1538-4357/ab010f

    Mockler, B., Guillochon, J., & Ramirez-Ruiz, E. 2019, ApJ, 872, 151, doi: 10.3847/1538-4357/ab010f

  64. [73]

    S., Murayama, T., et al

    Nagao, T., Kawabata, K. S., Murayama, T., et al. 2004, AJ, 128, 2066, doi: 10.1086/424936

  65. [74]

    2015, ARA&A, 53, 365, doi: 10.1146/annurev-astro-082214-122302

    Netzer, H. 2015, ARA&A, 53, 365, doi: 10.1146/annurev-astro-082214-122302

  66. [75]

    2009, A&A, 507, 1793, doi: 10.1051/0004-6361/200912497

    Noll, S., Burgarella, D., Giovannoli, E., et al. 2009, A&A, 507, 1793, doi: 10.1051/0004-6361/200912497

  67. [76]

    M., Ferrarese, L., Gilbert, K

    Peterson, B. M., Ferrarese, L., Gilbert, K. M., et al. 2004, ApJ, 613, 682, doi: 10.1086/423269

  68. [77]

    Pons, E., & Watson, M. G. 2016, A&A, 594, A72, doi: 10.1051/0004-6361/201629194

  69. [78]

    Rees, M. J. 1988, Nature, 333, 523, doi: 10.1038/333523a0

  70. [79]

    E., Greene, J

    Reines, A. E., Greene, J. E., & Geha, M. 2013, ApJ, 775, 116, doi: 10.1088/0004-637X/775/2/116 Savić, D., Goosmann, R., Popović, L. Č., Marin, F., &

  71. [80]

    Afanasiev, V. L. 2018, A&A, 614, A120, doi: 10.1051/0004-6361/201732220

  72. [81]

    Savorgnan, G. A. D., & Graham, A. W. 2015, MNRAS, 446, 2330, doi: 10.1093/mnras/stu2259

  73. [82]

    2021, MNRAS, 508, 3820, doi: 10.1093/mnras/stab2843

    Sazonov, S., Gilfanov, M., Medvedev, P., et al. 2021, MNRAS, 508, 3820, doi: 10.1093/mnras/stab2843

  74. [83]

    T., Strauss, M

    Shen, Y., Richards, G. T., Strauss, M. A., et al. 2011, ApJS, 194, 45, doi: 10.1088/0067-0049/194/2/45

  75. [84]

    E., & Quataert, E

    Strubbe, L. E., & Quataert, E. 2009, MNRAS, 400, 2070, doi: 10.1111/j.1365-2966.2009.15599.x

  76. [85]

    2024, A&A, 692, A262, doi: 10.1051/0004-6361/202452380

    Sun, L., Jiang, N., Dou, L., et al. 2024, A&A, 692, A262, doi: 10.1051/0004-6361/202452380

  77. [86]

    A., Pols, O

    Tout, C. A., Pols, O. R., Eggleton, P. P., & Han, Z. 1996, MNRAS, 281, 257, doi: 10.1093/mnras/281.1.257

  78. [87]

    L., et al

    Trakhtenbrot, B., Arcavi, I., MacLeod, C. L., et al. 2019, ApJ, 883, 94, doi: 10.3847/1538-4357/ab39e4

  79. [88]

    Tran, H. D. 2001, ApJL, 554, L19, doi: 10.1086/320926

  80. [89]

    Tran, H. D. 2003, ApJ, 583, 632, doi: 10.1086/345473

  81. [90]

    M., & Padovani, P

    Urry, C. M., & Padovani, P. 1995, PASP, 107, 803, doi: 10.1086/133630 Valencia-S., M., Zuther, J., Eckart, A., et al. 2012, A&A, 544, A129, doi: 10.1051/0004-6361/201219226 van Velzen, S., Anderson, G. E., Stone, N. C., et al. 2016, Science, 351, 62, doi: 10.1126/science.aad11...

  82. [91]

    W., & Hill, G

    Veilleux, S., Goodrich, R. W., & Hill, G. J. 1997, ApJ, 477, 631, doi: 10.1086/303735 15

  83. [92]

    2002, ApJ, 571, 733, doi: 10.1086/340045

    Vestergaard, M. 2002, ApJ, 571, 733, doi: 10.1086/340045

  84. [93]

    R., et al

    Wevers, T., Guolo, M., Pasham, D. R., et al. 2024, ApJ, 963, 75, doi: 10.3847/1538-4357/ad1878

  85. [94]

    C., Vanden Berk, D

    Wilhite, B. C., Vanden Berk, D. E., Kron, R. G., et al. 2005, ApJ, 633, 638, doi: 10.1086/430821

  86. [95]

    2013, ApJ, 772, 49, doi: 10.1088/0004-637X/772/1/49

    Woo, J.-H., Schulze, A., Park, D., et al. 2013, ApJ, 772, 49, doi: 10.1088/0004-637X/772/1/49

  87. [96]

    Woo, J.-H., Yoon, Y., Park, S., Park, D., & Kim, S. C. 2015, ApJ, 801, 38, doi: 10.1088/0004-637X/801/1/38

  88. [97]

    L., Eisenhardt, P

    Wright, E. L., Eisenhardt, P. R. M., Mainzer, A. K., et al. 2010, AJ, 140, 1868, doi: 10.1088/0004-6256/140/6/1868

  89. [98]

    2025, arXiv e-prints, arXiv:2503.10053, doi: 10.48550/arXiv.2503.10053

    Yao, Y., Ye, J., Sun, L., et al. 2025, arXiv e-prints, arXiv:2503.10053, doi: 10.48550/arXiv.2503.10053

  90. [99]

    2023, ApJL, 955, L6, doi: 10.3847/2041-8213/acf216

    Yao, Y., Ravi, V., Gezari, S., et al. 2023, ApJL, 955, L6, doi: 10.3847/2041-8213/acf216

  91. [100]

    W., Connolly, A

    Yip, C. W., Connolly, A. J., Vanden Berk, D. E., et al. 2009, AJ, 137, 5120, doi: 10.1088/0004-6256/137/6/5120

  92. [101]

    L., Schmidt, G

    Zakamska, N. L., Schmidt, G. D., Smith, P. S., et al. 2005, AJ, 129, 1212, doi: 10.1086/427543

  93. [102]

    2021, ApJ, 909, 16, doi: 10.3847/1538-4357/abdb35

    Zhang, X. 2021, ApJ, 909, 16, doi: 10.3847/1538-4357/abdb35

  94. [103]

    2024, arXiv e-prints, arXiv:2411.12247, doi: 10.48550/arXiv.2411.12247

    Zhang, X. 2024, arXiv e-prints, arXiv:2411.12247, doi: 10.48550/arXiv.2411.12247

  95. [104]

    2025, arXiv e-prints, arXiv:2501.16585, doi: 10.48550/arXiv.2501.16585

    Zhang, X. 2025, arXiv e-prints, arXiv:2501.16585, doi: 10.48550/arXiv.2501.16585

  96. [105]

    2021, ApJ, 922, 248, doi: 10.3847/1538-4357/ac23c8

    Zhang, X., YingFei, Z., PeiZhen, C., et al. 2021, ApJ, 922, 248, doi: 10.3847/1538-4357/ac23c8

  97. [106]

    2022, ApJ, 937, 105, doi: 10.3847/1538-4357/ac903d

    Zhang, X., & Zhao, S. 2022, ApJ, 937, 105, doi: 10.3847/1538-4357/ac903d

  98. [107]

    2014, MNRAS, 438, 557, doi: 10.1093/mnras/stt2226

    Zhang, X.-G. 2014, MNRAS, 438, 557, doi: 10.1093/mnras/stt2226

  99. [108]

    2022, MNRAS, 516, L66, doi: 10.1093/mnrasl/slac092

    Zhang, X.-G. 2022, MNRAS, 516, L66, doi: 10.1093/mnrasl/slac092

  100. [109]

    2024, MNRAS, 534, L23, doi: 10.1093/mnrasl/slae072

    Zhang, X.-G. 2024, MNRAS, 534, L23, doi: 10.1093/mnrasl/slae072

  101. [110]

    Q., Liu, F

    Zhou, Z. Q., Liu, F. K., Komossa, S., et al. 2021, ApJ, 907, 77, doi: 10.3847/1538-4357/abcccb

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