pith. machine review for the scientific record. sign in

arxiv: 2604.25163 · v1 · submitted 2026-04-28 · 🌌 astro-ph.GA · astro-ph.HE

Recognition: unknown

The Impact of Elliptical Broad-Line Regions on Reverberation-Based Black Hole Mass Estimates

Authors on Pith no claims yet

Pith reviewed 2026-05-07 15:59 UTC · model grok-4.3

classification 🌌 astro-ph.GA astro-ph.HE
keywords broad-line regionreverberation mappingsupermassive black holesvirial factorelliptical geometryradius-luminosity relationblack hole mass estimation
0
0 comments X

The pith

Elliptical broad-line region geometries can make the virial factor vary by more than an order of magnitude in black hole mass estimates.

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

The paper uses numerical simulations to examine how elliptical shapes in the broad-line region around supermassive black holes affect mass estimates from reverberation mapping. Even when the gas follows purely gravitational orbits, changes in eccentricity, orientation, and inclination cause the virial factor f to shift by factors exceeding ten. These shifts produce trends in f that observers have attributed to radiation pressure pushing on the gas. The same geometries also add roughly 0.18 dex of scatter to the radius-luminosity relation through simple projection.

Core claim

By computing emission-line profiles, emissivity-weighted time lags, and the corresponding virial factor f over a wide range of eccentricities, orientations, and inclinations, the authors find that even in purely virialized systems geometric effects alone can cause f to vary by more than an order of magnitude and can mimic observational signatures typically attributed to radiation pressure. Local broadening adds further bias to velocity width measurements of up to a factor of ~3. Asymmetric configurations induce ~0.18 dex scatter in the R-L relation due to projection effects.

What carries the argument

Elliptical-disk broad-line region geometries used to calculate emissivity-weighted time lags and the resulting virial factor f from simulated emission-line profiles.

If this is right

  • The virial factor f changes by more than a factor of ten from viewing angle and eccentricity alone.
  • Trends between f and accretion rate can arise from BLR shape rather than radiation pressure.
  • Local broadening in the line profile biases velocity widths and therefore f by up to a factor of ~3.
  • Projection effects in asymmetric BLRs add ~0.18 dex of scatter to the observed radius-luminosity relation.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Black hole mass catalogs derived from reverberation mapping likely contain orientation-dependent systematic errors that vary with how each BLR is tilted relative to the observer.
  • Cross-checks between reverberation masses and dynamical masses could reveal average corrections needed for different BLR ellipticities.
  • Selecting targets with similar line-profile shapes or modeling ellipticity directly might reduce the scatter in single-epoch black hole mass estimates.
  • The geometry-driven scatter implies that the R-L relation itself carries a viewing-angle component that current calibrations do not separate.

Load-bearing premise

The broad-line region consists only of virialized elliptical disks with no non-virial motions, radiation pressure, or other dynamical effects.

What would settle it

Independent mass measurements from stellar dynamics or gas kinematics in the same galaxies show no order-of-magnitude offsets or inclination-dependent scatter matching the elliptical-disk predictions.

Figures

Figures reproduced from arXiv: 2604.25163 by Haicheng Feng, Jiancheng Wu, Qingwen Wu, Xinwu Cao.

Figure 1
Figure 1. Figure 1: A schematic illustration of elliptical-disk BLR model. In both panels, the observer is located at infinity along the positive x-axis. The BLR gas is assumed to rotate counterclockwise. The disk inclination and eccentricity are fixed at i = π/3 and e = 0.5, respectively, and the color indicates the Doppler factor. The left and right panels correspond to disk orientations of ϕ0 = π/3 and ϕ0 = 2π/3, respectiv… view at source ↗
Figure 2
Figure 2. Figure 2: Profiles for different local broadening values σloc. Solid and dashed lines represent σloc = 500 km s−1 and 2000 km s−1 , respectively. Blue solid line: FWHM = 3540.2 km s−1 , f = 1.1. Blue dashed line: FWHM = 5750.5 km s−1 , f = 0.4. Red solid line: FWHM = 5769.5 km s−1 , f = 1.4. Red dashed line: FWHM = 7381.5 km s−1 , f = 0.8. f is calculated from the FWHM. as it governs the LOS projection of the veloci… view at source ↗
Figure 3
Figure 3. Figure 3: In the upper panel, we illustrate the difference between measuring the FWHM using only the single high￾est peak (P1) and measuring the FWHM by identifying the half-maximum points of both peaks (P1 and P2). The sub￾script “sp” denotes “single peak”. In the three lower panels, we present the differences in the virial factor fFWHM result￾ing from the two methods of computing the FWHM across different paramete… view at source ↗
Figure 4
Figure 4. Figure 4: Flowchart of the simulation workload. angles (i = 0.1π, 0.2π, 0.3π), three eccentricities (e = 0, 0.4, 0.8), and five major-axis orientations (ϕ0 = 0, 0.4π, 0.8π, 1.2π, 1.6π). The results are shown in view at source ↗
Figure 5
Figure 5. Figure 5: The distribution of f under different eccentricities, where M• = 108M⊙ and ˙m = 0.01. In the left panel, the virial factor f is calculated based on the FWHM of the emission line. In the right panel, f is calculated based on the line dispersion σline. The left panel of view at source ↗
Figure 6
Figure 6. Figure 6: The relation between 5100˚A luminosity and time lag of emission line. The colored dots are given by our calculation. The gray dashed line is the empirical relation from Bentz et al. (2013). The left panel use a fixed eccentricity e = 0.5, while the right panel use the random eccentricities in (0, 0.9). Although the elliptical-disk BLR model adopted here does not, in principle, require any specific accretio… view at source ↗
Figure 7
Figure 7. Figure 7: The distribution of f under different mass accre￾tion rates ˙m, where M• = 108M⊙, e = 0.4 and i = 0.2π. Each data point represents the mean value averaged across different orientations ϕ0, and the error bars denote the cor￾responding standard deviations. Radiation pressure has been widely invoked as a pri￾mary driver of virial factor variations. Even in the ab￾sence of outflows, it can counteract the gravi… view at source ↗
read the original abstract

The virial factor $f$ is critical for accurate supermassive black hole (SMBH) mass measurements using reverberation mapping (RM) and the radius--luminosity ($R$--$L$) relation, yet its value remains highly uncertain. While traditional models assume axisymmetric broad-line region (BLR) geometries, growing evidence suggests that BLRs may possess more complex, asymmetric structures. We systematically investigate the impact of elliptical-disk BLR geometries on SMBH mass determinations through comprehensive numerical simulations. By computing emission-line profiles, emissivity-weighted time lags, and the corresponding virial factor $f$ over a wide range of eccentricities, orientations, and inclinations, we find that even in purely virialized systems, geometric effects alone can cause $f$ to vary by more than an order of magnitude and can mimic observational signatures typically attributed to radiation pressure. Additionally, local broadening introduces further systematic uncertainties in velocity width measurements, biasing $f$ by up to a factor of $\sim$3. Asymmetric BLR configurations also induce a scatter of $\sim$0.18 dex in the $R$--$L$ relation due to projection effects, comparable to the intrinsic scatter observed in RM studies. These results challenge the conventional attribution of RM uncertainties to non-virial motions or radiation pressure, and instead highlight the fundamental role of BLR geometry in SMBH mass measurements.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

0 major / 3 minor

Summary. The paper presents numerical simulations of purely virialized Keplerian elliptical-disk BLRs, computing emission-line profiles, emissivity-weighted time lags, and the virial factor f across ranges of eccentricity, orientation, and inclination. It claims that geometric and projection effects alone produce >1 order-of-magnitude variation in f, can mimic radiation-pressure signatures, introduce up to a factor ~3 bias in f from local broadening, and generate ~0.18 dex scatter in the R-L relation.

Significance. If the results hold under the stated assumptions, the work is significant for demonstrating that BLR geometry can explain substantial RM uncertainties without non-virial motions. The quantitative outputs (order-of-magnitude f range, factor-3 bias, 0.18 dex scatter comparable to observations) provide concrete, testable predictions and a controlled baseline for interpreting real data. The comprehensive parameter sweep is a clear strength.

minor comments (3)
  1. [Abstract] Abstract: the phrase 'comprehensive numerical simulations' would be strengthened by briefly stating the explored ranges of eccentricity (e.g., 0–0.9) and inclination to allow immediate assessment of generality.
  2. [Results] Results section: the reported ~0.18 dex R-L scatter should be compared directly to specific observational compilations (with citations) rather than stated as 'comparable to the intrinsic scatter observed in RM studies'.
  3. [Figures] Figure captions: ensure every panel showing line profiles or lag distributions explicitly lists the corresponding f value, emissivity law, and whether local broadening is included.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for their positive evaluation of our manuscript and for recommending minor revision. We appreciate the acknowledgment that our simulations provide concrete, testable predictions regarding the effects of elliptical BLR geometries on the virial factor f and the R-L relation. No specific major comments were raised in the report.

Circularity Check

0 steps flagged

No significant circularity; derivation self-contained

full rationale

The paper computes emission-line profiles, emissivity-weighted lags, and the virial factor f directly from numerical simulations of Keplerian elliptical-disk BLRs under stated assumptions (purely virialized orbits, specified emissivity, no non-virial motions). The reported variations in f, biases from local broadening, and R-L scatter follow from applying the standard virial definition to the simulated observables with known true mass; no fitted parameter is renamed as a prediction, no self-citation chain is load-bearing for the central claims, and no step reduces by construction to its inputs. The work is self-contained against external benchmarks.

Axiom & Free-Parameter Ledger

2 free parameters · 1 axioms · 0 invented entities

The central claims rest on numerical simulations of elliptical BLRs; the main unstated inputs are the ranges and sampling of eccentricity, orientation, inclination, and emissivity laws, plus the assumption of pure virial motion.

free parameters (2)
  • eccentricity
    Varied over a wide range to map geometric effects; specific values and sampling not detailed in abstract.
  • orientation and inclination angles
    Sampled across possible viewing geometries to compute average and scatter in f.
axioms (1)
  • domain assumption BLR gas is in purely virialized motion with no radiation pressure or outflows
    Invoked to isolate the pure geometric contribution to f variation.

pith-pipeline@v0.9.0 · 5566 in / 1570 out tokens · 71101 ms · 2026-05-07T15:59:58.993637+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

74 extracted references · 73 canonical work pages · 1 internal anchor

  1. [1]

    , keywords =

    Abuter, R., Allouche, F., Amorim, A., et al. 2024, Nature, 627, 281, doi: 10.1038/s41586-024-07053-4

  2. [2]

    , keywords =

    Antonucci, R. 1993, ARA&A, 31, 473, doi: 10.1146/annurev.aa.31.090193.002353 12

  3. [3]

    A., Laor, A., & Blandford, R

    Arav, N., Barlow, T. A., Laor, A., & Blandford, R. D. 1997, MNRAS, 288, 1015, doi: 10.1093/mnras/288.4.1015

  4. [4]

    , keywords =

    Bentz, M. C., Walsh, J. L., Barth, A. J., et al. 2008, ApJL, 689, L21, doi: 10.1086/595719 —. 2009, ApJ, 705, 199, doi: 10.1088/0004-637X/705/1/199 —. 2010, ApJ, 716, 993, doi: 10.1088/0004-637X/716/2/993

  5. [5]

    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

  6. [6]

    D., & McKee, C

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

  7. [7]

    R., Pols, O

    Bottorff, M. C., & Ferland, G. J. 2000, MNRAS, 316, 103, doi: 10.1046/j.1365-8711.2000.03465.x

  8. [8]

    D., Drew, J

    Cackett, E. M., & Horne, K. 2006, MNRAS, 365, 1180, doi: 10.1111/j.1365-2966.2005.09795.x

  9. [9]

    J., Burtscher, L., et al

    Caglar, T., Koss, M. J., Burtscher, L., et al. 2023, ApJ, 956, 60, doi: 10.3847/1538-4357/acf11b

  10. [10]

    , keywords =

    Chen, K., Halpern, J. P., & Filippenko, A. V. 1989, ApJ, 339, 742, doi: 10.1086/167332

  11. [11]
  12. [12]

    Systematic effects in measurement of black hole masses by emission-line reverberation of active galactic nuclei: Eddington ratio and inclination

    Collin, S., Kawaguchi, T., Peterson, B. M., & Vestergaard, M. 2006, A&A, 456, 75, doi: 10.1051/0004-6361:20064878 Dalla Bont` a, E., Peterson, B. M., Bentz, M. C., et al. 2020, ApJ, 903, 112, doi: 10.3847/1538-4357/abbc1c

  13. [13]

    D., Peterson, B

    Denney, K. D., Peterson, B. M., Pogge, R. W., et al. 2009, ApJL, 704, L80, doi: 10.1088/0004-637X/704/2/L80

  14. [14]

    2019, ApJ, 886, 42, doi: 10.3847/1538-4357/ab4908

    Du, P., & Wang, J.-M. 2019, ApJ, 886, 42, doi: 10.3847/1538-4357/ab4908

  15. [15]

    2018, ApJ, 856, 6, doi: 10.3847/1538-4357/aaae6b

    Du, P., Zhang, Z.-X., Wang, K., et al. 2018, ApJ, 856, 6, doi: 10.3847/1538-4357/aaae6b

  16. [16]

    Eracleous, M., & Halpern, J. P. 1994, ApJS, 90, 1, doi: 10.1086/191856 —. 2003, ApJ, 599, 886, doi: 10.1086/379540

  17. [17]

    , keywords =

    Storchi-Bergmann, T. 1995, ApJ, 438, 610, doi: 10.1086/175104

  18. [18]

    T., Bai, J

    Feng, H.-C., Liu, H. T., Bai, J. M., et al. 2021a, ApJ, 912, 92, doi: 10.3847/1538-4357/abefe0

  19. [19]

    2021b, ApJ, 909, 18, doi: 10.3847/1538-4357/abd851

    Feng, H.-C., Hu, C., Li, S.-S., et al. 2021b, ApJ, 909, 18, doi: 10.3847/1538-4357/abd851

  20. [20]

    M., et al

    Feng, H.-C., Li, S.-S., Bai, J. M., et al. 2024, ApJ, 976, 176, doi: 10.3847/1538-4357/ad8568 —. 2025, ApJ, 979, 131, doi: 10.3847/1538-4357/ad9c71 Fonseca Alvarez, G., Trump, J. R., Homayouni, Y., et al. 2020, ApJ, 899, 73, doi: 10.3847/1538-4357/aba001 GRAVITY Collaboration, Sturm, E., Dexter, J., et al. 2018, Nature, 563, 657, doi: 10.1038/s41586-018-0...

  21. [21]

    J., Martini, P., Watson, L

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

  22. [22]

    J., Trump, J

    Grier, C. J., Trump, J. R., Shen, Y., et al. 2017, ApJ, 851, 21, doi: 10.3847/1538-4357/aa98dc

  23. [23]

    S., Netzer, H., et al

    Kaspi, S., Smith, P. S., Netzer, H., et al. 2000, ApJ, 533, 631, doi: 10.1086/308704

  24. [24]

    2003, A&A, 407, 461, doi: 10.1051/0004-6361:20030928

    Kollatschny, W. 2003, A&A, 407, 461, doi: 10.1051/0004-6361:20030928

  25. [25]

    , keywords =

    Korista, K. T., & Goad, M. R. 2004, ApJ, 606, 749, doi: 10.1086/383193

  26. [26]

    , keywords =

    Lewis, K. T., Eracleous, M., & Storchi-Bergmann, T. 2010, ApJS, 187, 416, doi: 10.1088/0067-0049/187/2/416

  27. [27]

    2026, ApJ, 998, 311, doi: 10.3847/1538-4357/ae3de1

    Li, S.-S., Feng, H.-C., Wu, J., et al. 2026, ApJ, 998, 311, doi: 10.3847/1538-4357/ae3de1

  28. [28]

    2021, ApJ, 920, 9, doi: 10.3847/1538-4357/ac116e

    Li, S.-S., Yang, S., Yang, Z.-X., et al. 2021, ApJ, 920, 9, doi: 10.3847/1538-4357/ac116e

  29. [29]

    T., et al

    Li, S.-S., Feng, H.-C., Liu, H. T., et al. 2022, ApJ, 936, 75, doi: 10.3847/1538-4357/ac8745 —. 2024, ApJ, 972, 105, doi: 10.3847/1538-4357/ad60c1

  30. [30]

    T., Feng, H

    Liu, H. T., Feng, H. C., & Bai, J. M. 2017, MNRAS, 466, 3323, doi: 10.1093/mnras/stw3261

  31. [31]

    T., Feng, H.-C., Li, S.-S., & Bai, J

    Liu, H. T., Feng, H.-C., Li, S.-S., & Bai, J. M. 2022, ApJ, 928, 60, doi: 10.3847/1538-4357/ac559b

  32. [32]

    T., Feng, H.-C., Li, S.-S., Bai, J

    Liu, H. T., Feng, H.-C., Li, S.-S., Bai, J. M., & Li, H. Z. 2024, ApJ, 963, 30, doi: 10.3847/1538-4357/ad1ab8

  33. [33]

    2023, MNRAS, 520, 2009, doi: 10.1093/mnras/stad145

    Malik, U., Sharp, R., Penton, A., et al. 2023, MNRAS, 520, 2009, doi: 10.1093/mnras/stad145

  34. [34]

    W., Knigge, C., Williams, P., et al

    Mangham, S. W., Knigge, C., Williams, P., et al. 2019, MNRAS, 488, 2780, doi: 10.1093/mnras/stz1713

  35. [35]

    2014, MNRAS, 441, 551, doi: 10.1093/mnras/stu593

    Marin, F. 2014, MNRAS, 441, 551, doi: 10.1093/mnras/stu593

  36. [36]

    J., Barcons, X., et al

    Mateos, S., Carrera, F. J., Barcons, X., et al. 2017, ApJL, 841, L18, doi: 10.3847/2041-8213/aa7268

  37. [37]

    M., Yu, Z., et al

    McDougall, H., Davis, T. M., Yu, Z., et al. 2025, arXiv e-prints, arXiv:2512.01261, doi: 10.48550/arXiv.2512.01261 Mej´ ıa-Restrepo, J. E., Lira, P., Netzer, H., Trakhtenbrot, B., & Capellupo, D. M. 2018, Nature Astronomy, 2, 63, doi: 10.1038/s41550-017-0305-z

  38. [38]

    2020, Frontiers in Astronomy and Space Sciences, 7, 15, doi: 10.3389/fspas.2020.00015

    Naddaf, M.-H., Czerny, B., & Szczerba, R. 2020, Frontiers in Astronomy and Space Sciences, 7, 15, doi: 10.3389/fspas.2020.00015

  39. [39]

    , keywords =

    Nagoshi, S., Iwamuro, F., Yamada, S., et al. 2024, MNRAS, 529, 393, doi: 10.1093/mnras/stae319 13

  40. [40]

    L., Brotherton, M

    Oknyansky, V. L., Brotherton, M. S., Tsygankov, S. S., et al. 2021, MNRAS, 505, 1029, doi: 10.1093/mnras/stab1138

  41. [41]

    J., & Treu, T

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

  42. [42]

    Dynamical modelling of the Lick AGN Monitoring Project 2008 data set

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

  43. [43]

    2024, ApJ, 976, 116, doi: 10.3847/1538-4357/ad7fe1

    Pandey, S., Rakshit, S., Chand, K., et al. 2024, ApJ, 976, 116, doi: 10.3847/1538-4357/ad7fe1

  44. [44]

    , keywords =

    Park, D., Woo, J.-H., Treu, T., et al. 2012, ApJ, 747, 30, doi: 10.1088/0004-637X/747/1/30

  45. [45]

    Peterson, B. M. 1993, PASP, 105, 247, doi: 10.1086/133140

  46. [46]

    Peterson, B. M. 2001, in Advanced Lectures on the Starburst-AGN, ed. I. Aretxaga, D. Kunth, & R. M´ ujica, 3, doi: 10.1142/9789812811318 0002 —. 2014, SSRv, 183, 253, doi: 10.1007/s11214-013-9987-4

  47. [47]

    M., Wandel A., 1999, @doi [The Astrophysical Journal] 10.1086/312190 , 521, L95

    Peterson, B. M., & Wandel, A. 1999, ApJL, 521, L95, doi: 10.1086/312190 —. 2000, ApJL, 540, L13, doi: 10.1086/312862

  48. [48]

    M., Ferrarese, L., Gilbert, K

    Peterson, B. M., Ferrarese, L., Gilbert, K. M., et al. 2004, ApJ, 613, 682, doi: 10.1086/423269 Popovi´ c, L.ˇC., Mediavilla, E. G., Kubiˇ cela, A., & Jovanovi´ c, P. 2002, A&A, 390, 473, doi: 10.1051/0004-6361:20020724

  49. [49]

    T., Lacy, M., Storrie-Lombardi, L

    Richards, G. T., Lacy, M., Storrie-Lombardi, L. J., et al. 2006, ApJS, 166, 470, doi: 10.1086/506525

  50. [50]

    A., Robinson, A., Almeyda, T., & Noll, M

    Rosborough, S. A., Robinson, A., Almeyda, T., & Noll, M. 2024, ApJ, 965, 35, doi: 10.3847/1538-4357/ad26f3

  51. [51]

    I., & Sunyaev, R

    Shakura, N. I., & Sunyaev, R. A. 1973, A&A, 24, 337

  52. [52]

    Shen, Y., & Ho, L. C. 2014, Nature, 513, 210, doi: 10.1038/nature13712

  53. [53]

    J., et al

    Shen, Y., Horne, K., Grier, C. J., et al. 2016, ApJ, 818, 30, doi: 10.3847/0004-637X/818/1/30

  54. [54]

    The Sloan Digital Sky Survey Reverberation Mapping Project: Key Results

    Shen, Y., Grier, C. J., Horne, K., et al. 2024, ApJS, 272, 26, doi: 10.3847/1538-4365/ad3936

  55. [55]

    C., Rix, H.-W., McIntosh, D

    Shields, J. C., Rix, H.-W., McIntosh, D. H., et al. 2000, ApJL, 534, L27, doi: 10.1086/312660

  56. [56]

    A., & Wilson, A

    Storchi-Bergmann, T., Baldwin, J. A., & Wilson, A. S. 1993, ApJL, 410, L11, doi: 10.1086/186867

  57. [57]

    Double-Peaked Profiles: Ubiquitous Signatures of Disks in the Broad Emission Lines of Active Galactic Nuclei

    Storchi-Bergmann, T., Schimoia, J. S., Peterson, B. M., et al. 2017, ApJ, 835, 236, doi: 10.3847/1538-4357/835/2/236

  58. [58]

    2003, ApJ, 598, 956, doi: 10.1086/378938

    Storchi-Bergmann, T., Nemmen da Silva, R., Eracleous, M., et al. 2003, ApJ, 598, 956, doi: 10.1086/378938

  59. [59]

    Double-peaked Low-Ionization Emission Lines in Active Galactic Nuclei

    Strateva, I. V., Strauss, M. A., Hao, L., et al. 2003, AJ, 126, 1720, doi: 10.1086/378367 Villafa˜ na, L., Williams, P. R., Treu, T., et al. 2022, ApJ, 930, 52, doi: 10.3847/1538-4357/ac6171

  60. [60]

    104U/abstract Urrutia, T., Wisotzki, L., Kerutt, J., et al

    Wang, B., de Graaff, A., Davies, R. L., et al. 2024, arXiv e-prints, arXiv:2403.02304, doi: 10.48550/arXiv.2403.02304

  61. [61]

    2026, ApJ, 1000, 180, doi: 10.3847/1538-4357/ae4699

    Wang, S., Woo, J.-H., Villafa˜ na, L., Treu, T., & Gallo, E. 2026, ApJ, 1000, 180, doi: 10.3847/1538-4357/ae4699

  62. [62]

    , keywords =

    Wang, S., Shen, Y., Jiang, L., et al. 2020, ApJ, 903, 51, doi: 10.3847/1538-4357/abb36d

  63. [63]
  64. [64]

    G., Dong, X

    Wang, T. G., Dong, X. B., Zhang, X. G., et al. 2005, ApJL, 625, L35, doi: 10.1086/430850

  65. [65]

    R., & Treu, T

    Williams, P. R., & Treu, T. 2022, ApJ, 935, 128, doi: 10.3847/1538-4357/ac8164

  66. [66]

    R., Pancoast, A., Treu, T., et al

    Williams, P. R., Pancoast, A., Treu, T., et al. 2018, ApJ, 866, 75, doi: 10.3847/1538-4357/aae086

  67. [67]

    , keywords =

    Williams, P. R., Treu, T., Dahle, H., et al. 2021, ApJL, 915, L9, doi: 10.3847/2041-8213/ac081b

  68. [68]

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

  69. [69]

    2025a, ApJ, 979, 125, doi: 10.3847/1538-4357/ada271

    Wu, J., Wu, Q., Lu, K.-X., et al. 2025a, ApJ, 979, 125, doi: 10.3847/1538-4357/ada271

  70. [70]

    , keywords =

    Wu, J., Wu, Q., Xue, H., Lei, W., & Lyu, B. 2023, ApJ, 950, 106, doi: 10.3847/1538-4357/acce9e

  71. [71]

    2025b, ApJ, 987, 14, doi: 10.3847/1538-4357/ade2cc

    Wu, J., Wu, Q., Hu, C., et al. 2025b, ApJ, 987, 14, doi: 10.3847/1538-4357/ade2cc

  72. [72]

    2025c, ApJ, 980, 134, doi: 10.3847/1538-4357/ada386

    Wu, Q., Shen, Y., Guo, H., et al. 2025c, ApJ, 980, 134, doi: 10.3847/1538-4357/ada386

  73. [73]

    2024, ApJ, 975, 41, doi: 10.3847/1538-4357/ad72ef

    Yao, Z.-H., Yang, S., Guo, W.-J., et al. 2024, ApJ, 975, 41, doi: 10.3847/1538-4357/ad72ef

  74. [74]

    Y., Webster, R

    Yong, S. Y., Webster, R. L., & King, A. L. 2016, PASA, 33, e009, doi: 10.1017/pasa.2016.8