Pith. sign in

REVIEW 2 major objections 4 minor 129 references

A Stellar Dynamical Mass for the Central Black Hole in MCG$-$06-30-15

T0 review · 2 major / 4 minor · reviewed 2026-08-05 · deepseek-v4-flash

Pith's one-line read This paper claims that stellar dynamical modeling of the Seyfert galaxy MCG-06-30-15 gives a black hole mass of (4.4 ± 1.4) × 10^7 solar masses, about ten times larger than the mass inferred from reverberation mapping.

desk verdict Careful first Schwarzschild mass for MCG-06-30-15, but the factor-10 SD-RM discrepancy rests on an unquantified, possibly directional LOSVD parameterization issue. read the letter →

arxiv 2509.01017 v1 pith:RVU6YKQ5 submitted 2025-08-31 astro-ph.GA

classification astro-ph.GA
keywords supermassiveblackholesstellardynamicalmodelingSchwarzschildorbit-superpositionreverberationmappingSeyfertgalaxiesGauss-HermitekinematicsMCG-06-30-15holemassmeasurement
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

This paper reports the first stellar-dynamical black hole mass for the nearby Seyfert galaxy MCG-06-30-15, derived by fitting Schwarzschild orbit-superposition models to new, high-spatial-resolution near-infrared spectra of the nuclear stars and to an HST surface-brightness decomposition. The best-fit models give M_BH = (4.4 ± 1.4) × 10^7 solar masses with a stellar mass-to-light ratio of 3.0 ± 0.3, about ten times the reverberation-mapping mass of 1.6 × 10^6 solar masses reported earlier. MCG-06-30-15 is only the fourth galaxy where a stellar-dynamical and a reverberation mass can be compared, and the first of those to show a large discrepancy, so the result is a test case for how well the two main techniques agree. The paper argues the discrepancy may come from the galaxy's counter-rotating nuclear disk, which can distort the Gauss-Hermite shape parameters and bias the dynamical mass high, or from the poorly known distance, but it does not quantify either effect fully.

What carries the argument

The central machinery is the Schwarzschild orbit-superposition method as implemented in the open-source code FORSTAND: 20,000 random stellar orbits are integrated in a trial gravitational potential built from the deprojected surface brightness, assumed stellar mass-to-light ratio, black hole mass, galaxy flattenings, and an optional dark matter halo, and a weighted superposition of orbits is fit to the six Gauss-Hermite moments of the observed line-of-sight velocity distributions. The black hole mass and M/L are the parameters scanned on a grid, with confidence intervals obtained from the chi-square surface marginalized over the nuisance shape parameters.

What would settle it

Re-extract the line-of-sight velocity distributions from the same SINFONI cube without assuming a Gauss-Hermite form (for example, with histograms or B-splines) and refit the Schwarzschild models; if the best-fit black hole mass falls below about 1 × 10^7 M_sun, the claimed high mass is an artifact. A robust H I or resolved stellar distance that places MCG-06-30-15 near 18 Mpc would also push the dynamical mass down by roughly 30 percent, providing an independent check.

Watch

Extended reading notes

Core claim

Using 40 SINFONI K-band observations, a three-component HST surface brightness model, and 20,000-orbit Schwarzschild models, the paper claims a supermassive black hole mass of (4.4 ± 1.4) × 10^7 M_sun in MCG-06-30-15. This is consistent with the previous Jeans Anisotropic Modeling upper limit but a factor of about ten above the reverberation-mapping value. The paper's key interpretive claim is that the number is probably biased high: the strongly negative h4 Gauss-Hermite moments in the data are the signature that the nucleus contains nested, oppositely rotating stellar disks, and a truncated GH expansion can represent the resulting double-peaked line profiles as single-peaked profiles with

Load-bearing premise

The quoted black hole mass assumes the truncated sixth-order Gauss-Hermite description of the stellar velocities is a faithful representation of the true motions, even though the nucleus contains a counter-rotating disk; the paper states that if that description fails, the mass could be biased high.

Editorial extensions

If this is right

  • If the dynamical mass is right, MCG-06-30-15 becomes the first of the four SD/RM comparison galaxies where the two methods disagree by a factor of about ten.
  • The agreement between the FORSTAND orbit-superposition result and the earlier Jeans Anisotropic Modeling upper limit strengthens the case that the stellar motions require a mass above about 3 × 10^7 M_sun under the standard modeling assumptions.
  • The h4 residual pattern implies that galaxies with counter-rotating or kinematically decoupled cores may need non-Gauss-Hermite velocity-profile extraction before their dynamical masses can be trusted.
  • A better distance, by up to a factor of about two in either direction, would change the dynamical mass linearly while leaving the reverberation mass unchanged; a distance near the low end of the allowed range would reduce but not eliminate the tension.
  • The upcoming velocity-resolved reverberation analysis of the 2024 monitoring campaign can test whether the reverberation side's scale factor and inclination assumptions are responsible for the discrepancy.

Reading between the lines

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

  • The paper leaves implicit that if the Gauss-Hermite truncation bias is real, it may affect not just this object but any published dynamical mass for galaxies with counter-rotating stellar disks, making a re-analysis with non-parametric line-of-sight velocity distributions the natural next test.
  • The paper's distance discussion implies that the group distance is the cleanest external handle: a single robust H I 21 cm Tully-Fisher or resolved stellar distance for MCG-06-30-15 would either widen or narrow the factor-of-ten gap, and could indicate whether the reverberation or the dynamical method is the outlier.
  • Combining the existing wider-field kinematic maps with the new central data and a two-component counter-rotating disk model might separate the disk kinematics from the bulge kinematics without relying on high-order Gauss-Hermite moments; if such a model returned a mass near 10^6 M_sun, the discrepancy would be resolved in favor of the reverberation value.
Share X Bluesky LinkedIn Reddit HN

Editorial analysis

A structured set of objections, weighed in public.

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

Referee Report

2 major / 4 minor

Summary. The paper presents the first Schwarzschild orbit-superposition stellar dynamical mass measurement for the Seyfert 1 galaxy MCG–06-30-15, using new SINFONI K-band integral-field spectroscopy and HST photometry. The dynamical models are built with FORSTAND, exploring grids over black hole mass, stellar mass-to-light ratio, component flattenings, inclination, distance, and dark-matter halo assumptions. The best-fit model gives M_BH = (4.4 ± 1.4) × 10^7 M_sun and M/L_V = (3.0 ± 0.3) M_sun/L_sun at the adopted distance of 25.5 Mpc, about ten times larger than the reverberation-mapping mass of (1.6 ± 0.4) × 10^6 M_sun reported by Bentz et al. (2016). The authors are explicit that this result may be biased high because the truncated Gauss–Hermite parameterization cannot adequately represent the double-peaked LOSVDs expected from the known counter-rotating disk, and that the magnitude of this bias is not quantified. They also discuss distance and inclination uncertainties and present a new velocity-resolved reverberation analysis that disfavors masses above ~10^7 M_sun.

Significance. If the measurement were robust, this would be only the fourth galaxy with both a stellar dynamical and a reverberation black hole mass, and the first such comparison showing a large, directionally interesting discrepancy. The work is methodologically careful in several respects: the modeling uses the open-source FORSTAND code, the parameter space is explored with grids over flattening, distance, and dark matter, the model comparison is marginalized over nuisance parameters in a sensible way, and the RM mass is used only for comparison rather than as an input, so there is no circularity. The paper is also commendably honest in flagging its own principal limitation in Section 7.2. However, the same section identifies a load-bearing, potentially directional systematic — the GH truncation bias — that is never quantified, and the formal confidence intervals do not include it. The central claim of a stellar-dynamical/RM discrepancy therefore remains conditional rather than established.

major comments (2)
  1. [§7.2, Fig. 6] The main lever arm for the high M_BH is the strongly negative h4 values in the data. The authors state that lower-mass models are mostly ruled out by large h4 deviations, while in the same section they note that a truncated GH series cannot represent a truly double-peaked LOSVD from the counter-rotating disk and that if the GH parameterization is inappropriate the SD mass would be biased high. This is a load-bearing, directional systematic, and it is never quantified. The new CARAMEL analysis in Appendix A independently disfavors masses ≳10^7 M_sun, reinforcing the concern. The quoted 1σ interval [3.0–5.8]×10^7 M_sun therefore excludes what may be the dominant systematic error. Please quantify this bias — for example by fitting the spectra with non-parametric/B-spline LOSVDs or by injecting mock double-peaked LOSVDs through the pPXF + FORSTAND pipeline — or clearly reframe the headline r
  2. [§6, Fig. 5, and §7.2] The marginalized confidence intervals in Fig. 5 integrate only over the bulge and halo flattenings, with qd, distance, and the GH basis fixed. Figure 7 shows that the distance uncertainty alone changes M_BH by roughly a factor of two (D = 18 vs 38 Mpc), comparable to or larger than the quoted 1σ statistical error. The headline mass and the comparison with the RM mass should include this systematic, e.g. by quoting M_BH = 4.4 × (D/25.5 Mpc) × 10^7 M_sun or by marginalizing over the full distance range. As written, the formal uncertainties overstate the precision of the measurement.
minor comments (4)
  1. [Abstract / §6] The phrase 'within 1σ confidence intervals' should be qualified as 'statistical' confidence intervals, since the paper itself identifies unquantified systematic effects that are not included.
  2. [Table 1 caption] Typo: 'T able 1' should read 'Table 1'.
  3. [§4.3, Eq. (1)] The symbol q0,d is described as the 'global flattening parameter' but is used as the intrinsic edge-on axis ratio. Please define it more precisely to avoid confusion with the observed axis ratio.
  4. [§5.2 / Fig. 4] The text says models with qd = 0.1 and 0.3 were also explored, but Fig. 4 only shows qd = 0.2. It would help to show or summarize the qd = 0.1/0.3 results in the same visual format, especially because Fig. 7 reports different minima for those cases.

Circularity Check

0 steps flagged · score 0.0 of 10

No circularity: MBH is fitted to stellar kinematics; RM mass is used only as an external comparison.

full rationale

The central mass measurement is obtained by fitting Schwarzschild orbit-superposition models (FORSTAND) to the observed SINFONI stellar kinematics (Gauss-Hermite moments v, σ, h3-h6) and the HST surface brightness profile. The paper explicitly scans a grid in MBH and M/L and minimizes χ² (Sections 5.2, 6). The reverberation-mapping mass from Bentz et al. (2016) is a co-authored prior result, but it is not an input to the dynamical models; it is introduced only in Section 7.2 as a comparison value, and the paper discusses possible causes of the disagreement. The same is true of the JAM upper limit from Raimundo et al. (2013, 2017), which is cited as an external consistency check, not used to set the model parameter range. The adopted distance is taken from an external catalog and varied to show the linear scaling; it is not fitted to the kinematics. The Section 7.2 caveat that the truncated Gauss-Hermite series might misrepresent a double-peaked LOSVD from the counter-rotating disk and could bias the fitted MBH high is an acknowledged systematic/model-dependence, not a circular reduction: the negative h4 values are data, not a constructed output, and the paper does not claim to 'predict' h4 from the same h4 that was used as input. No equation in the paper defines the reported MBH in terms of the comparison quantity, and no fitted parameter is renamed as a prediction. Therefore the derivation chain is self-contained, and the appropriate finding is no significant circularity.

Assumptions & free parameters 4 free parameters · 5 assumptions · 0 invented entities

The central result rests on the fitted parameters M_BH and M/L, the adopted distance, and several standard dynamical-modeling assumptions. No new physical entities are introduced. The most fragile assumption is the GH parameterization of complex LOSVDs, which the authors themselves identify as a likely source of systematic bias.

free parameters (4)
  • Black hole mass (M_BH) = 4.4e7 M_sun (best fit)
    The principal parameter of the dynamical models, determined by fitting to the observed LOSVDs.
  • Stellar mass-to-light ratio (M/L_V) = 3.0 M_sun/L_sun (best fit)
    Fitted simultaneously with M_BH; initial guess from galaxy color (4 ± 1) is used as a starting point.
  • Galaxy component flattenings (q_d, q_b, q_s) = Grid values: q_d in {0.1,0.2,0.3}; q_b, q_s from 0.2 to 1.0 in steps of 0.1
    Explored as free parameters and marginalized over; they affect the deprojection and inclination but are not the target of the measurement.
  • Distance to MCG-06-30-15 = Adopted D = 25.5 ± 3.5 Mpc (external, not fitted)
    Not a fitted parameter, but it directly scales M_BH. The paper explores D = 18, 25.5, 38 Mpc to show the effect. It is a free external input with substantial uncertainty.
assumptions (5)
  • domain assumption The galaxy is axisymmetric and the 3D density can be uniquely deprojected from the 2D surface brightness profile.
    Standard Schwarzschild modeling assumption; invoked in Section 5 where the surface brightness profile is used to construct the 3D stellar density.
  • domain assumption A single stellar template can represent the stellar population throughout the field of view.
    The optimal template from the lowest-χ² bin is used for all bins to ensure a constant stellar population (Section 3). If the stellar population varies, the inferred kinematics could be biased.
  • domain assumption The line-of-sight velocity distributions are adequately described by a truncated Gauss-Hermite series up to sixth order.
    This is the load-bearing assumption highlighted in Section 7.2. The paper argues the counter-rotating disk may create double-peaked LOSVDs that GH polynomials misrepresent, potentially biasing M_BH high.
  • domain assumption The stellar mass follows the light with a constant mass-to-light ratio, and dark matter is negligible within the modeled region.
    FORSTAND uses a constant M/L for the stellar component; the authors test DM halo inclusion and find negligible effect (Section 5.2, Figure 7). The constant-M/L assumption is standard but unverified.
  • domain assumption The adopted distance D = 25.5 Mpc to the galaxy group is correct within the stated uncertainty.
    M_BH scales linearly with distance (Equation 2, Section 5.1). The distance is poorly constrained (only two group members with distances, 18 and 38 Mpc), so this is a significant external input.

how reviews work

0 comments
Cite this review

Pith. "Pith review of A Stellar Dynamical Mass for the Central Black Hole in MCG$-$06-30-15." pith.science (2026). https://pith.science/paper/RVU6YKQ5

@misc{pith2026250901017,
  author       = {Pith},
  title        = {Pith review of: A Stellar Dynamical Mass for the Central Black Hole in MCG$-$06-30-15},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/RVU6YKQ5}},
  note         = {Machine review of arXiv:2509.01017}
}
abstract

We present the stellar dynamical mass of the central black hole in the nearby Seyfert galaxy MCG$-$06-30-15 using the Schwarzschild orbit-superposition method implemented in the open-source code FORSTAND. We obtained spatially resolved $K$-band nuclear stellar spectra for this galaxy with SINFONI on the VLT. We extracted the bulk stellar kinematics using Gauss$-$Hermite (GH) parameterization of the line-of-sight velocity distributions. A multicomponent surface brightness profile of the galaxy was determined from an $HST$ medium-band $V$ image. Our best-fit models indicate a black hole mass of $M_{BH}=(4.4\pm1.4) \times 10^7 M_{\odot}$ and a stellar mass-to-light ratio of $M/L$=($3.0\pm0.3$) $M_{\odot}$/$L_{\odot}$, within 1$\sigma$ confidence intervals. Our constraint on $M_{BH}$ agrees with an upper limit on the mass from stellar dynamics based on the Jeans Anisotropic Method, but is $\sim$10 times larger than the reported mass from reverberation mapping. However, our best-fit $M_{BH}$ may be systematically biased high due to the counter-rotating disk in the nucleus of MCG$-$06-30-15 and the inability of the GH parameterization to fully describe such a complicated set of stellar kinematics. In addition, a dynamical $M_{BH}$ value depends heavily on the assumed source distance, which is not yet accurately constrained for this galaxy. MCG$-$06-30-15 is only the fourth galaxy in which we can compare $M_{BH}$ from stellar dynamical modeling with that from reverberation mapping. A direct comparison of $M_{BH}$ allows us to identify and investigate the possible sources of bias associated with different mass measurement techniques, which may influence our understanding of black hole and galaxy coevolution across cosmological timescales.

Figures

Figures reproduced from arXiv: 2509.01017 by the authors.

Figure 1
Figure 1. The spectral fit from pPXF for a selected bin at about 1′′ from the center. Data are shown in black, overplotted with the best-fit template in red, and the residuals (data − model) are shown in green. Plotted on the X-axis are the pixel values corresponding to observed wavelengths from 2.19 to 2.42 µm while on the Y-axis, the corresponding fluxes normalized by the median value are shown. A noise spike appears at the… view at source ↗
Figure 2
Figure 2. Kinematic maps derived from pPXF for the inner 3′′ × 3 ′′ (370 pc × 370 pc) of MCG–06-30-15 based on data we collected with SINFONI. The panels show the velocity (v), velocity dispersion (σ), and higher order (h3-h6) moments of the Gauss–Hermite polynomials for the data. The maps are rotated so that the kinematic major axis is parallel to the X-axis. The redshifts and blueshifts from the rotation of the nuclear star… view at source ↗
Figure 3
Figure 3. HST WFC3 F547M (medium-band V ) image of MCG–06-30-15 (Bentz et al. 2016). The scale for 10′′ is shown. The dust lane in the galaxy disk was masked before fitting the surface brightness profile. rithm (Hamilton 2014), and a gradient for the sky back￾ground was included. The best-fit parameters for each galaxy component are listed in [PITH_FULL_IMAGE:figures/full_fig_p007_3.png] view at source ↗
Figures from the paper (5 more)
Figure 4
Figure 4. Figure 4: Comparison of ∆χ 2 (≡ χ 2 − χ 2 min) as a function of MBH and M/L for dynamical models with different galactic geometries. The dashed contour lines along with the blue density profiles indicate the 1σ, 2σ, 3σ, ... confidence levels of 2D ∆χ 2 at 2.3, 6.2, 11.8, ... etc…
Figure 5
Figure 5. Figure 5: 1D and 2D profiles of ∆χ 2 in the MBH and M/L parameter space, marginalized over qb and qs (the other two parameters shown in [PITH_FULL_IMAGE:figures/full_fig_p011_5.png]
Figure 6
Figure 6. Figure 6: Comparison of kinematic maps derived from pPXF for the inner 3′′ × 3 ′′ of MCG–06-30-15. The top two rows show the velocity (v), velocity dispersion (σ), and higher order (h3-h6) moments of the Gauss–Hermite polynomials for the data (same as [PITH_FULL_IMAGE:figures/f…
Figure 7
Figure 7. Figure 7: Comparison of ∆χ 2 for different parameter choices in the dynamical models. All the panels have the same flattening for the bulge and the stellar halo (qb = 0.6, and qs = 0.8). The top and bottom rows have the same disk flattening (qd=0.2) too. In the top row, we show …
Figure 8
Figure 8. Figure 8: Posterior probability distributions for several parameters of the velocity-resolved reverberation models: MBH, mean time delay τmean, and BLR inclination to our line of sight, θi. REFERENCES Ar´evalo, P., Papadakis, I., Kuhlbrodt, B., & Brinkmann, W. 2005, A&A, 430, 43…

Discussion (0). Sign in to comment.

Reference graph

Works this paper leans on

129 extracted references · 29 canonical work pages

  1. [1]

    , " * write output.state after.block = add.period write newline

    ENTRY address archivePrefix author booktitle chapter doi edition editor eprint howpublished institution journal key month number organization pages publisher school series title misctitle type volume year version url label extra.label sort.label short.list INTEGERS output.state before.all mid.sentence after.sentence after.block FUNCTION init.state.consts ...

  2. [2]

    write newline

    " write newline "" before.all 'output.state := FUNCTION format.url url empty "" new.block "" url * "" * if FUNCTION format.eprint eprint empty "" archivePrefix empty "" archivePrefix "arXiv" = new.block " " eprint * " " * new.block " " eprint * " " * if if if FUNCTION format.doi doi empty "" " " doi * " " * if FUNCTION format.pid doi empty eprint empty ur...

  3. [3]

    4000 \@twopowertwo=

    thebibliography [1] 20pt to REFERENCES 6pt =0pt -12pt 10pt plus 3pt =0pt =0pt =1pt plus 1pt =0pt =0pt -12pt =13pt plus 1pt =20pt =13pt plus 1pt \@M =10000 =-1.0em =0pt =0pt 0pt =0pt =1.0em @enumiv\@empty 10000 10000 `\.\@m \@noitemerr \@latex@warning Empty `thebibliography' environment \@ifnextchar \@reference \@latexerr Missing key on reference command E...

  4. [4]

    P+Lp Q ,9y^p`ɫ 3mSn x=VIi:烂 c )a D

    thebibliography [1] 20pt to REFERENCES 6pt =0pt \@twocolumntrue 12pt -12pt 10pt plus 3pt =0pt =0pt =1pt plus 1pt =0pt =0pt -12pt =13pt plus 1pt =20pt =13pt plus 1pt \@M =10000 =-1.0em =0pt =0pt 0pt =0pt =1.0em @enumiv\@empty 10000 10000 `\.\@m \@noitemerr \@latex@warning Empty `thebibliography' environment \@ifnextchar \@reference \@latexerr Missing key o...

  5. [5]

    2005, , 430, 435, 10.1051/0004-6361:20041801

    Ar \'e valo , P., Papadakis , I., Kuhlbrodt , B., & Brinkmann , W. 2005, , 430, 435, 10.1051/0004-6361:20041801

  6. [6]

    J., Boizelle , B

    Barth , A. J., Boizelle , B. D., Darling , J., et al. 2016, , 822, L28, 10.3847/2041-8205/822/2/L28

  7. [7]

    H., Hearin , A

    Behroozi , P., Wechsler , R. H., Hearin , A. P., & Conroy , C. 2019, , 488, 3143, 10.1093/mnras/stz1182

  8. [8]

    F., & de Jong , R

    Bell , E. F., & de Jong , R. S. 2001, , 550, 212, 10.1086/319728

Show all 129 references
  1. [9]

    C., Cackett , E

    Bentz , M. C., Cackett , E. M., Crenshaw , D. M., et al. 2016, , 830, 136, 10.3847/0004-637X/830/2/136

  2. [10]

    C., Horne , K., Barth , A

    Bentz , M. C., Horne , K., Barth , A. J., et al. 2010, , 720, L46, 10.1088/2041-8205/720/1/L46

  3. [11]

    C., & Manne-Nicholas , E

    Bentz , M. C., & Manne-Nicholas , E. 2018, , 864, 146, 10.3847/1538-4357/aad808

  4. [12]

    C., Markham , M., Rosborough , S., et al

    Bentz , M. C., Markham , M., Rosborough , S., et al. 2023 a , , 959, 25, 10.3847/1538-4357/ad08b8

  5. [13]

    C., Onken , C

    Bentz , M. C., Onken , C. A., Street , R., & Valluri , M. 2023 b , , 944, 29, 10.3847/1538-4357/acab62

  6. [14]

    C., Williams , P

    Bentz , M. C., Williams , P. R., Street , R., et al. 2021, , 920, 112, 10.3847/1538-4357/ac19af

  7. [15]

    C., Williams , P

    Bentz , M. C., Williams , P. R., & Treu , T. 2022, , 934, 168, 10.3847/1538-4357/ac7c0a

  8. [16]

    C., Denney , K

    Bentz , M. C., Denney , K. D., Cackett , E. M., et al. 2006, , 651, 775, 10.1086/507417

  9. [17]

    C., Horenstein , D., Bazhaw , C., et al

    Bentz , M. C., Horenstein , D., Bazhaw , C., et al. 2014, , 796, 8, 10.1088/0004-637X/796/1/8

  10. [18]

    D., & McKee , C

    Blandford , R. D., & McKee , C. F. 1982, , 255, 419, 10.1086/159843

  11. [19]

    G., Joly, M., & Ward, M

    Boisson, C., Coupé, S., Cuby, J. G., Joly, M., & Ward, M. J. 2002, , 396, 489–501, 10.1051/0004-6361:20021449

  12. [20]

    D., Barth, A

    Boizelle, B. D., Barth, A. J., Walsh, J. L., et al. 2019, The Astrophysical Journal, 881, 10, 10.3847/1538-4357/ab2a0a

  13. [21]

    2004, The Messenger, 117, 17

    Bonnet , H., Abuter , R., Baker , A., et al. 2004, The Messenger, 117, 17

  14. [22]

    S., Du , P., Xiao , M., et al

    Brotherton , M. S., Du , P., Xiao , M., et al. 2020, , 905, 77, 10.3847/1538-4357/abc2d2

  15. [23]

    S., Valluri , M., Shen , J., & Debattista , V

    Brown , J. S., Valluri , M., Shen , J., & Debattista , V. P. 2013, , 778, 151, 10.1088/0004-637X/778/2/151

  16. [24]

    M., Bentz, M

    Cackett, E. M., Bentz, M. C., & Kara, E. 2021, iScience, 24, 102557, https://doi.org/10.1016/j.isci.2021.102557

  17. [25]

    2015, Astronomy and Computing, 9, 20, 10.1016/j.ascom.2014.10.004

    Camps , P., & Baes , M. 2015, Astronomy and Computing, 9, 20, 10.1016/j.ascom.2014.10.004

  18. [27]

    2017, , 466, 798, 10.1093/mnras/stw3020

    ---. 2017, , 466, 798, 10.1093/mnras/stw3020

  19. [28]

    2003, , 342, 345, 10.1046/j.1365-8711.2003.06541.x

    Cappellari , M., & Copin , Y. 2003, , 342, 345, 10.1046/j.1365-8711.2003.06541.x

  20. [29]

    2004, , 116, 138, 10.1086/381875

    Cappellari , M., & Emsellem , E. 2004, , 116, 138, 10.1086/381875

  21. [30]

    2009, , 394, 660, 10.1111/j.1365-2966.2008.14377.x

    Cappellari , M., Neumayer , N., Reunanen , J., et al. 2009, , 394, 660, 10.1111/j.1365-2966.2008.14377.x

  22. [31]

    2019, , 629, A25, 10.1051/0004-6361/201935421

    Castangia , P., Surcis , G., Tarchi , A., et al. 2019, , 629, A25, 10.1051/0004-6361/201935421

  23. [32]

    Chiang , C.-Y., & Fabian , A. C. 2011, , 414, 2345, 10.1111/j.1365-2966.2011.18553.x

  24. [33]

    M., & Kraemer , S

    Crenshaw , D. M., & Kraemer , S. B. 2012, , 753, 75, 10.1088/0004-637X/753/1/75

  25. [34]

    I., Thomas , J., Genzel , R., et al

    Davies , R. I., Thomas , J., Genzel , R., et al. 2006, , 646, 754, 10.1086/504963

  26. [35]

    G., Men \'e ndez-Delmestre , K., Gon c alves , T

    de Is \' dio , N. G., Men \'e ndez-Delmestre , K., Gon c alves , T. S., et al. 2024, , 971, 69, 10.3847/1538-4357/ad53c8

  27. [36]

    M., Grier , C

    De Rosa , G., Fausnaugh , M. M., Grier , C. J., et al. 2018, , 866, 133, 10.3847/1538-4357/aadd11

  28. [37]

    C., Barth , A

    den Brok , M., Seth , A. C., Barth , A. J., et al. 2015, , 809, 101, 10.1088/0004-637X/809/1/101

  29. [38]

    D., Peterson , B

    Denney , K. D., Peterson , B. M., Pogge , R. W., et al. 2010, , 721, 715, 10.1088/0004-637X/721/1/715

  30. [39]

    A., & Macci \`o , A

    Dutton , A. A., & Macci \`o , A. V. 2014, , 441, 3359, 10.1093/mnras/stu742

  31. [40]

    2003, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol

    Eisenhauer , F., Abuter , R., Bickert , K., et al. 2003, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 4841, Instrument Design and Performance for Optical/Infrared Ground-based Telescopes, ed. M. Iye & A. F. M. Moorwood , 1548--1561, 10.1...

  32. [41]

    M., & Papadakis , I

    Emmanoulopoulos , D., McHardy , I. M., & Papadakis , I. E. 2011, , 416, L94, 10.1111/j.1745-3933.2011.01106.x

  33. [42]

    2019, , 875, L6, 10.3847/2041-8213/ab1141

    Event Horizon Telescope Collaboration , Akiyama , K., Alberdi , A., et al. 2019, , 875, L6, 10.3847/2041-8213/ab1141

  34. [43]

    Fabian , A. C. 2012, , 50, 455, 10.1146/annurev-astro-081811-125521

  35. [44]

    2021, , 646, A31, 10.1051/0004-6361/202039624

    Falc \'o n-Barroso , J., & Martig , M. 2021, , 646, A31, 10.1051/0004-6361/202039624

  36. [45]

    2025, , 978, 63, 10.3847/1538-4357/ad932e

    Favaro , J., Courteau , S., Comer \'o n , S., & Stone , C. 2025, , 978, 63, 10.3847/1538-4357/ad932e

  37. [46]

    2000, , 539, L9, 10.1086/312838

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

  38. [47]

    L., Madore , B

    Freedman , W. L., Madore , B. F., Hatt , D., et al. 2019, , 882, 34, 10.3847/1538-4357/ab2f73

  39. [48]

    M., et al

    Freudling , W., Romaniello , M., Bramich , D. M., et al. 2013, , 559, A96, 10.1051/0004-6361/201322494

  40. [49]

    K., et al

    Garc \' a-Lorenzo , B., M \'a rquez , I., Barrera-Ballesteros , J. K., et al. 2015, , 573, A59, 10.1051/0004-6361/201423485

  41. [50]

    2024, in Astronomical Society of the Pacific Conference Series, Vol

    Gasymov , D., & Katkov , I. 2024, in Astronomical Society of the Pacific Conference Series, Vol. 535, Astromical Data Analysis Software and Systems XXXI, ed. B. V. Hugo , R. Van Rooyen , & O. M. Smirnov , 279. 2112.08386

  42. [51]

    2011, , 729, 119, 10.1088/0004-637X/729/2/119

    Gebhardt , K., Adams , J., Richstone , D., et al. 2011, , 729, 119, 10.1088/0004-637X/729/2/119

  43. [52]

    2000 a , , 539, L13, 10.1086/312840

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

  44. [53]

    2000 b , , 119, 1157, 10.1086/301240

    Gebhardt , K., Richstone , D., Kormendy , J., et al. 2000 b , , 119, 1157, 10.1086/301240

  45. [54]

    E., & Ott , T

    Genzel , R., Pichon , C., Eckart , A., Gerhard , O. E., & Ott , T. 2000, , 317, 348, 10.1046/j.1365-8711.2000.03582.x

  46. [55]

    Gerhard, O. E. 1993, Monthly Notices of the Royal Astronomical Society, 265, 213, 10.1093/mnras/265.1.213

  47. [56]

    M., Morris , M., Becklin , E

    Ghez , A. M., Morris , M., Becklin , E. E., Tanner , A., & Kremenek , T. 2000, , 407, 349, 10.1038/407349a

  48. [57]

    G., & Afrin, M

    Ghosh, S. G., & Afrin, M. 2023, The Astrophysical Journal, 944, 174, 10.3847/1538-4357/acb695

  49. [58]

    , Aimar, N

    GRAVITY Collaboration , Abuter, R. , Aimar, N. , et al. 2022, , 657, L12, 10.1051/0004-6361/202142465

  50. [59]

    E., Seth , A., Kim , M., et al

    Greene , J. E., Seth , A., Kim , M., et al. 2016, , 826, L32, 10.3847/2041-8205/826/2/L32

  51. [60]

    J., Tilak , A., & Madejski , G

    Greenhill , L. J., Tilak , A., & Madejski , G. 2008, , 686, L13, 10.1086/592782

  52. [61]

    J., Martini , P., Watson , L

    Grier , C. J., Martini , P., Watson , L. C., et al. 2013, , 773, 90, 10.1088/0004-637X/773/2/90

  53. [62]

    J., Pancoast , A., Barth , A

    Grier , C. J., Pancoast , A., Barth , A. J., et al. 2017, , 849, 146, 10.3847/1538-4357/aa901b

  54. [63]

    Gültekin, K., Tremaine, S., Loeb, A., & Richstone, D. O. 2011, The Astrophysical Journal, 738, 17, 10.1088/0004-637X/738/1/17

  55. [64]

    H., & Kroupa, P

    Haghi, H., Khalaj, P., Zonoozi, A. H., & Kroupa, P. 2017, The Astrophysical Journal, 839, 60, 10.3847/1538-4357/aa6719

  56. [65]

    Hamilton , T. S. 2014, in American Astronomical Society Meeting Abstracts, Vol. 223, American Astronomical Society Meeting Abstracts \#223, 145.02

  57. [66]

    R., Moran , J

    Herrnstein , J. R., Moran , J. M., Greenhill , L. J., & Trotter , A. S. 2005, , 629, 719, 10.1086/431421

  58. [67]

    F., & Peterson , B

    Horne , K., Welsh , W. F., & Peterson , B. M. 1991, , 367, L5, 10.1086/185919

  59. [69]

    Hubble , E. P. 1925, The Observatory, 48, 139

  60. [70]

    Humphreys , E. M. L., Reid , M. J., Moran , J. M., Greenhill , L. J., & Argon , A. L. 2013, , 775, 13, 10.1088/0004-637X/775/1/13

  61. [71]

    E., & McNamara, B

    Jeter, B., Broderick, A. E., & McNamara, B. R. 2019, The Astrophysical Journal, 882, 82, 10.3847/1538-4357/ab3221

  62. [72]

    C., Marinucci , A., et al

    Kara , E., Fabian , A. C., Marinucci , A., et al. 2014, , 445, 56, 10.1093/mnras/stu1750

  63. [73]

    2015, , 576, A78, 10.1051/0004-6361/201423909

    Kausch , W., Noll , S., Smette , A., et al. 2015, , 576, A78, 10.1051/0004-6361/201423909

  64. [74]

    J., Grebel , E

    Kautsch , S. J., Grebel , E. K., Barazza , F. D., & Gallagher , J. S. 2006, , 445, 765, 10.1051/0004-6361:20053981

  65. [75]

    Kleijn, G. A. V., van der Marel, R. P., & Noel-Storr, J. 2006, The Astronomical Journal, 131, 1961, 10.1086/500973

  66. [76]

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

  67. [77]

    1995, , 33, 581, 10.1146/annurev.aa.33.090195.003053

    Kormendy , J., & Richstone , D. 1995, , 33, 581, 10.1146/annurev.aa.33.090195.003053

  68. [79]

    R., Ma , C.-P., & Walsh , J

    Liepold , E. R., Ma , C.-P., & Walsh , J. L. 2023, , 945, L35, 10.3847/2041-8213/acbbcf

  69. [80]

    2021, , 504, 4599

    Lipka , M., & Thomas , J. 2021, , 504, 4599

  70. [81]

    J., et al

    Macchetto , F., Marconi , A., Axon , D. J., et al. 1997, , 489, 579, 10.1086/304823

  71. [82]

    1998, , 115, 2285, 10.1086/300353

    Magorrian , J., Tremaine , S., Richstone , D., et al. 1998, , 115, 2285, 10.1086/300353

  72. [83]

    2014, , 787, 83, 10.1088/0004-637X/787/1/83

    Marinucci , A., Matt , G., Miniutti , G., et al. 2014, , 787, 83, 10.1088/0004-637X/787/1/83

  73. [84]

    M., Gunn , K

    McHardy , I. M., Gunn , K. F., Uttley , P., & Goad , M. R. 2005, , 359, 1469, 10.1111/j.1365-2966.2005.08992.x

  74. [85]

    G., Banerji , M., Gonzalez , E., et al

    McMahon , R. G., Banerji , M., Gonzalez , E., et al. 2013, The Messenger, 154, 35

  75. [86]

    2023, , 948, 79, 10.3847/1538-4357/acbf2e

    Mehrgan , K., Thomas , J., Saglia , R., Parikh , T., & Bender , R. 2023, , 948, 79, 10.3847/1538-4357/acbf2e

  76. [87]

    A., Vasiliev , E., Bentz , M

    Merrell , K. A., Vasiliev , E., Bentz , M. C., Valluri , M., & Onken , C. A. 2023, , 949, 13, 10.3847/1538-4357/acc4bc

  77. [88]

    1997, , 114, 228, 10.1086/118467

    Merritt , D. 1997, , 114, 228, 10.1086/118467

  78. [89]

    1995, , 373, 127, 10.1038/373127a0

    Miyoshi , M., Moran , J., Herrnstein , J., et al. 1995, , 373, 127, 10.1038/373127a0

  79. [90]

    F., Frenk , C

    Navarro , J. F., Frenk , C. S., & White , S. D. M. 1996, , 462, 563, 10.1086/177173

  80. [91]

    A., Maloney , P

    Neufeld , D. A., Maloney , P. R., & Conger , S. 1994, , 436, L127, 10.1086/187649

  81. [92]

    A., Valluri , M., Brown , J

    Onken , C. A., Valluri , M., Brown , J. S., et al. 2014, , 791, 37, 10.1088/0004-637X/791/1/37

  82. [93]

    J., & Treu , T

    Pancoast , A., Brewer , B. J., & Treu , T. 2011, , 730, 139, 10.1088/0004-637X/730/2/139

  83. [94]

    2014 a , , 445, 3055, 10.1093/mnras/stu1809

    ---. 2014 a , , 445, 3055, 10.1093/mnras/stu1809

  84. [95]

    J., Treu , T., et al

    Pancoast , A., Brewer , B. J., Treu , T., et al. 2014 b , , 445, 3073, 10.1093/mnras/stu1419

  85. [96]

    , Malizia, A

    Panessa , F., Castangia, P. , Malizia, A. , et al. 2020, , 641, A162, 10.1051/0004-6361/201937407

  86. [97]

    Y., Ho , L

    Peng , C. Y., Ho , L. C., Impey , C. D., & Rix , H.-W. 2002, , 124, 266, 10.1086/340952

  87. [98]

    2010, , 139, 2097, 10.1088/0004-6256/139/6/2097

    ---. 2010, , 139, 2097, 10.1088/0004-6256/139/6/2097

  88. [99]

    Peterson , B. M. 1993, , 105, 247, 10.1086/133140

  89. [100]

    I., Davies , R

    Raimundo , S. I., Davies , R. I., Canning , R. E. A., et al. 2017, , 464, 4227, 10.1093/mnras/stw2635

  90. [101]

    I., Davies , R

    Raimundo , S. I., Davies , R. I., Gandhi , P., et al. 2013, , 431, 2294, 10.1093/mnras/stt327

  91. [102]

    A., Bentz , M

    Roberts , C. A., Bentz , M. C., Vasiliev , E., Valluri , M., & Onken , C. A. 2021, , 916, 25, 10.3847/1538-4357/ac05b6

  92. [103]

    H., Bentz , M

    Robinson , J. H., Bentz , M. C., Johnson , M. C., Courtois , H. M., & Ou-Yang , B. 2019, , 880, 68, 10.3847/1538-4357/ab29f9

  93. [104]

    J., & Zaw , I

    Rosenthal , M. J., & Zaw , I. 2020, , 499, 1233, 10.1093/mnras/staa2730

  94. [105]

    C., Burley , J., Kiasatpoor , A., et al

    Rubin , V. C., Burley , J., Kiasatpoor , A., et al. 1962, , 67, 491, 10.1086/108758

  95. [106]

    C., Ford , Jr., W

    Rubin , V. C., Ford , Jr., W. K., & Thonnard , N. 1978, , 225, L107, 10.1086/182804

  96. [107]

    P., Opitsch , M., Erwin , P., et al

    Saglia , R. P., Opitsch , M., Erwin , P., et al. 2016, , 818, 47, 10.3847/0004-637X/818/1/47

  97. [108]

    F., & Freedman , W

    Sakai , S., Madore , B. F., & Freedman , W. L. 1996, , 461, 713, 10.1086/177096

  98. [109]

    F., & Finkbeiner , D

    Schlafly , E. F., & Finkbeiner , D. P. 2011, , 737, 103, 10.1088/0004-637X/737/2/103

  99. [110]

    J., Finkbeiner , D

    Schlegel , D. J., Finkbeiner , D. P., & Davis , M. 1998, , 500, 525, 10.1086/305772

  100. [111]

    1979, , 232, 236, 10.1086/157282

    Schwarzschild , M. 1979, , 232, 236, 10.1086/157282

  101. [112]

    2015, , 576, A77, 10.1051/0004-6361/201423932

    Smette , A., Sana , H., Noll , S., et al. 2015, , 576, A77, 10.1051/0004-6361/201423932

  102. [113]

    C., et al

    Tanaka , Y., Nandra , K., Fabian , A. C., et al. 1995, , 375, 659, 10.1038/375659a0

  103. [114]

    P., Bender , R., et al

    Thomas , J., Saglia , R. P., Bender , R., et al. 2007, , 382, 657

  104. [115]

    L., Blakeslee , J

    Tonry , J. L., Blakeslee , J. P., Ajhar , E. A., & Dressler , A. 1997, , 475, 399, 10.1086/303576

  105. [116]

    B., Courtois , H

    Tully , R. B., Courtois , H. M., Dolphin , A. E., et al. 2013, , 146, 86, 10.1088/0004-6256/146/4/86

  106. [117]

    B., & Fisher , J

    Tully , R. B., & Fisher , J. R. 1977, , 54, 661

  107. [118]

    B., & Pierce , M

    Tully , R. B., & Pierce , M. J. 2000, , 533, 744, 10.1086/308700

  108. [119]

    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

  109. [120]

    B., Shaya , E

    Tully , R. B., Shaya , E. J., Karachentsev , I. D., et al. 2008, , 676, 184, 10.1086/527428

  110. [121]

    2004, , 602, 66, 10.1086/380896

    Valluri , M., Merritt , D., & Emsellem , E. 2004, , 602, 66, 10.1086/380896

  111. [122]

    M., et al

    Valsecchi , F., Glebbeek , E., Farr , W. M., et al. 2010, in American Institute of Physics Conference Series, Vol. 1314, International Conference on Binaries: in celebration of Ron Webbink's 65th Birthday, ed. V. Kalogera & M. van der Sluys (AIP), 285--290, 10.1063/1.3536386

  112. [123]

    P., Cretton , N., de Zeeuw , P

    van der Marel , R. P., Cretton , N., de Zeeuw , P. T., & Rix , H.-W. 1998, , 493, 613, 10.1086/305147

  113. [124]

    P., & Franx , M

    van der Marel , R. P., & Franx , M. 1993, , 407, 525, 10.1086/172534

  114. [125]

    2019, , 482, 1525, 10.1093/mnras/sty2672

    Vasiliev , E. 2019, , 482, 1525, 10.1093/mnras/sty2672

  115. [126]

    2020, The Astrophysical Journal, 889, 39, 10.3847/1538-4357/ab5fe0

    Vasiliev, E., & Valluri, M. 2020, The Astrophysical Journal, 889, 39, 10.3847/1538-4357/ab5fe0

  116. [127]

    R., Treu , T., et al

    Villafa \ n a , L., Williams , P. R., Treu , T., et al. 2023, , 948, 95, 10.3847/1538-4357/accc84

  117. [128]

    L., Barth , A

    Walsh , J. L., Barth , A. J., Ho , L. C., & Sarzi , M. 2013, , 770, 86, 10.1088/0004-637X/770/2/86

  118. [129]

    A., & Storchi-Bergmann, T

    Winge, C., Riffel, R. A., & Storchi-Bergmann, T. 2009, The Astrophysical Journal Supplement Series, 185, 186, 10.1088/0067-0049/185/1/186

  119. [130]

    S., Henkel , C., Guo , Q., Wang , H

    Zhang , J. S., Henkel , C., Guo , Q., Wang , H. G., & Fan , J. H. 2010, , 708, 1528, 10.1088/0004-637X/708/2/1528

  120. [131]

    S., Henkel , C., Kadler , M., et al

    Zhang , J. S., Henkel , C., Kadler , M., et al. 2006, , 450, 933, 10.1051/0004-6361:20054138

  121. [132]

    2023, , 522, 6326, 10.1093/mnras/stad1299

    Zhu , K., Lu , S., Cappellari , M., et al. 2023, , 522, 6326, 10.1093/mnras/stad1299

Pith tools

Reviewed August 5, 2026 · model on record in the stance chip above.