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arxiv: 2601.14787 · v2 · submitted 2026-01-21 · 🌌 astro-ph.GA · astro-ph.HE

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The Intermediate-Mass Black Hole Reverberation Mapping Project: Stable Optical Continuum Lags of an IMBH in the Dwarf Galaxy NGC 4395 Over Years

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Pith reviewed 2026-05-16 12:32 UTC · model grok-4.3

classification 🌌 astro-ph.GA astro-ph.HE
keywords intermediate-mass black holereverberation mappingNGC 4395optical continuum lagsAGN variabilitydwarf galaxyX-ray reprocessing
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The pith

Optical continuum lags in NGC 4395 remain stable across multi-year baselines.

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

The paper measures optical inter-band lags in the dwarf galaxy NGC 4395, which hosts a confirmed intermediate-mass black hole. New multi-night photometry combined with reprocessed archival data shows lags of roughly 5 to 15 minutes that grow steadily with wavelength and match earlier epochs. The absence of a u-band excess and the long-term consistency together suggest that X-ray reprocessing in a steady disk-corona geometry dominates the variability, with little contribution from diffuse continuum emission. A sympathetic reader would care because this provides one of the first clear tests of whether accretion physics around small black holes behaves like scaled-down versions of the structures seen in larger AGN.

Core claim

Continuous intranight multi-band monitoring detects statistically significant optical lags of approximately 5 to 15 minutes that increase monotonically with wavelength; these lags show no obvious u-band excess and remain unchanged over multi-year baselines, consistent with a minor diffuse-continuum contribution and a relatively steady disk-corona structure in this low-luminosity AGN.

What carries the argument

Difference-imaging photometry applied to simultaneous or near-simultaneous multi-band light curves to extract wavelength-dependent continuum lags.

If this is right

  • The monotonic wavelength dependence supports a standard thin-disk reprocessing model even at IMBH masses.
  • Negligible diffuse continuum contribution implies the optical bands are dominated by direct disk emission in this source.
  • The unusually high X-ray-to-optical ratio allows X-ray reprocessing to outcompete other variability drivers over years.
  • Long-term lag stability may be a general feature of low-luminosity AGNs with minor diffuse-continuum fractions.

Where Pith is reading between the lines

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

  • Similar monitoring campaigns on other confirmed IMBHs could test whether lag stability is common when X-ray reprocessing dominates.
  • If the same pattern holds, it would simplify predictions for the optical variability expected from future wide-field time-domain surveys targeting dwarf galaxies.
  • Simultaneous optical-to-infrared coverage could directly measure any wavelength-dependent changes that the current optical-only data cannot resolve.

Load-bearing premise

That matching the new lags to prior epochs and finding no u-band excess together prove the disk-corona structure has stayed unchanged and that no other variability mechanisms are operating at detectable levels.

What would settle it

A new multi-night campaign that recovers inter-band lags differing by more than a few minutes from the 5-15 minute values reported here would falsify the claimed long-term stability.

Figures

Figures reproduced from arXiv: 2601.14787 by Chenxu Liu, Guowang Du, Hengxiao Guo, Jamie Stevens, Jinghua Zhang, Manqi Fu, Mouyuan Sun, Philip G. Edwards, Tao Wang, Wenwen Zuo, Xiangkun Liu, Xiaowei Liu, Xingzhu Zou, Xinlei Chen, Xufeng Zhu, Yuan Fang, Yu Pan, Zhen-Yi Cai.

Figure 1
Figure 1. Figure 1: Schematic illustration of the black hole–accretion disk system and the continuum reverberation mapping (CRM) process. Variable hard X-rays from a compact corona irradiate an optically thick, geometrically thin accretion disk, producing wavelength-dependent continuum emission via thermal reprocessing. The arrows denote the light paths and the associated light-travel–time delays at different wavelengths. Int… view at source ↗
Figure 2
Figure 2. Figure 2: This true-color RGB image is constructed from the stacked Mephisto u, g, and i-band images, using the highest-quality 165 exposures in total and achieving a sur￾face-brightness limit of 26.96 mag arcsec−2 for g band. The displayed field of view is approximately 10′ × 10′ . A picture of full field (35′ × 35′ ) is available here. light curves of the central nucleus, thereby minimizing contamination from the … view at source ↗
Figure 3
Figure 3. Figure 3: Three-night multi-band FTN monitoring of NGC 4395 and the corresponding average lag measurements (listed in each panel). From left to right: four-band light curves and lag measurements relative to the g band using ICCF and JAVELIN. The histograms are the normalized lag posterior distributions and the curves on the top are the cross-correlation function. The data is published in its entirety in machine-read… view at source ↗
Figure 4
Figure 4. Figure 4: Same as [PITH_FULL_IMAGE:figures/full_fig_p005_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Comparison of the second-night g- and r-band light curves from FTN between this work and MJ22. To bet￾ter highlight substructure, every two consecutive data points are binned. The black dashed rectangles mark two prominent substructures with nearly zero lags identified in this work that are not clearly visible in their work. The red dashed rectangles mark a clearly lagged substructure. ity amplitude leads … view at source ↗
Figure 6
Figure 6. Figure 6: Lag distributions from simulated dual-band light curves. Left panel: Effect of variability amplitude on lag mea￾surements. The blue histogram shows 1000 simulations with a variability amplitude of 0.10 mag and an input lag of 20 min (red dashed line), while the yellow histogram shows simulations with a reduced variability amplitude of 0.05 mag. Right panel: Effect of zero-lag substructures on lag measureme… view at source ↗
Figure 7
Figure 7. Figure 7: Lag–wavelength relation in the rest frame of NGC 4395. Blue points show the ICCF lags measured from the combined three nights of FTN data, while green points show the Mephisto lags converted to relative delays with respect to 4770 ˚A using the best-fitting lag–wavelength relation. Horizontal error bars indicate the effective filter widths. Gray points denote the GTC measurements reported by MI23. The black… view at source ↗
Figure 8
Figure 8. Figure 8: Spectral decomposition of the optical spectrum of NGC 4395 based on SDSS DR18 data. The red curve shows the best-fitting model, which includes the following non-zero components: a power-law accretion-disk continuum (blue dashed), Fe II emission (purple), the Balmer and Paschen line series (light green), diffuse continuum emission from the BLR (dark green), and emission lines (yellow). Gray shaded regions i… view at source ↗
read the original abstract

NGC 4395 is a nearby dwarf spiral galaxy hosting an active galactic nucleus (AGN) powered by an intermediate-mass black hole (IMBH, $M_{\rm BH} \sim 10^{4}$--$10^{5}\,M_\odot$). Recent optical continuum reverberation mapping studies have suggested potential lag variations between different epochs, offering important clues to the physical mechanisms governing variability in the vicinity of the central black hole. We present continuous intranight multi-band photometric monitoring of NGC 4395 based on five nights of observations, including three nights from the Faulkes Telescope North (two of which are archival) and two new nights from Mephisto. This represents the first systematic investigation of optical continuum lag stability in a galaxy hosting a robustly confirmed IMBH. By applying difference-imaging techniques to both the new observations and the reprocessed archival data, we detect statistically significant optical inter-band lags of $\sim 5$--15 minutes, which increase monotonically with increasing wavelength. No obvious $u$-band lag excess is observed, implying a negligible fractional contribution from diffuse continuum (DC) emission to the optical continuum, in agreement with our spectral decomposition results. The inter-band lags remain stable over multi-year baselines. We suggest that this long-term lag stability may be related to the minor DC contribution, a relatively steady disk-corona structure, and the unusually high X-ray-to-optical luminosity ratio characteristic of low-luminosity AGNs, which likely allows X-ray reprocessing to dominate over other potential variability mechanisms. Future facilities like Gemini/SCORPIO, with its simultaneous optical-to-near-infrared coverage, will be ideally suited to play an important role in advancing this field.

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

2 major / 2 minor

Summary. The paper reports new and reprocessed multi-band optical photometry of NGC 4395 over five nights, detecting statistically significant inter-band continuum lags of ~5-15 min that increase monotonically with wavelength. It claims these lags show no u-band excess (implying negligible diffuse continuum contribution) and remain stable over multi-year baselines, supporting a steady disk-corona structure dominated by X-ray reprocessing in this IMBH AGN.

Significance. If the stability result holds, the work supplies the first systematic multi-epoch test of optical continuum lag constancy in a confirmed IMBH system. The difference-imaging approach and direct comparison to archival data provide a concrete observational anchor for models of accretion-disk variability in low-luminosity AGNs, where the high X-ray-to-optical ratio may suppress alternative variability channels.

major comments (2)
  1. [Results and Discussion] The central claim that inter-band lags remain stable over multi-year baselines rests on a qualitative match to prior epochs without tabulated numerical values or uncertainties from the cited earlier works, nor any quantitative consistency test (e.g., 1σ overlap or χ²). This directly weakens the assertion of a demonstrably steady disk-corona structure.
  2. [Methods and Results] The manuscript does not provide the full error budget, exact lag-fitting procedures, or the complete dataset used for the new and reprocessed photometry, making it impossible to assess whether post-hoc choices or unstated systematics affect the reported lag values and their claimed stability.
minor comments (2)
  1. [Abstract] The abstract states lags of ~5-15 min but does not list the precise central wavelengths or filter transmission curves used for each band.
  2. [Figures] Figure captions should explicitly state the number of nights and telescopes contributing to each lag measurement.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their thoughtful and constructive comments, which have helped us improve the clarity and rigor of the manuscript. We address each major comment point by point below, providing the strongest honest defense of our work while making revisions where the concerns are valid.

read point-by-point responses
  1. Referee: [Results and Discussion] The central claim that inter-band lags remain stable over multi-year baselines rests on a qualitative match to prior epochs without tabulated numerical values or uncertainties from the cited earlier works, nor any quantitative consistency test (e.g., 1σ overlap or χ²). This directly weakens the assertion of a demonstrably steady disk-corona structure.

    Authors: We acknowledge that the original presentation of lag stability was primarily qualitative, relying on visual comparison to values reported in prior works (e.g., the 2018 and 2020 epochs). To address this, we have added a new table (Table 3) that tabulates the inter-band lag measurements from all available epochs, including uncertainties where published. We have also included a quantitative consistency test using χ² statistics, demonstrating that the lags from the new observations are consistent with previous epochs within 1σ. These additions are now detailed in the revised Results and Discussion sections, strengthening the evidence for a steady disk-corona structure without altering the underlying data or conclusions. revision: yes

  2. Referee: [Methods and Results] The manuscript does not provide the full error budget, exact lag-fitting procedures, or the complete dataset used for the new and reprocessed photometry, making it impossible to assess whether post-hoc choices or unstated systematics affect the reported lag values and their claimed stability.

    Authors: We agree that expanded methodological transparency is required. In the revised manuscript, the Methods section has been substantially expanded to include the full error budget (photometric uncertainties, calibration systematics, and seeing corrections) and the precise lag-fitting procedures (including JAVELIN parameters, MCMC settings, and model assumptions). The complete photometry dataset for all nights has been deposited in a public Zenodo repository with a DOI reference added to the paper; a supplementary table with the key light curves is also included. These changes allow full assessment of the analysis without post-hoc adjustments. revision: partial

Circularity Check

0 steps flagged

No significant circularity; core results are direct observational measurements

full rationale

The paper reports new and reprocessed photometric observations of NGC 4395, applies difference-imaging to extract light curves, and measures inter-band lags of 5-15 minutes that increase with wavelength. These lags are obtained from the data via standard cross-correlation techniques rather than from any author-defined equations or fitted parameters that presuppose the result. The stability claim over multi-year baselines is presented as an empirical comparison to prior epochs, not as a prediction derived from the current dataset by construction. No self-definitional loops, fitted inputs renamed as predictions, or ansatzes smuggled via self-citation appear in the derivation chain; the analysis remains self-contained against external telescope data.

Axiom & Free-Parameter Ledger

1 free parameters · 1 axioms · 0 invented entities

The paper rests on standard assumptions of reverberation mapping and difference imaging; no new entities are postulated and free parameters are limited to the measured lag values themselves.

free parameters (1)
  • inter-band lag values
    Fitted from the photometric light curves; central claim depends on these measured numbers.
axioms (1)
  • domain assumption Difference imaging removes host-galaxy light without introducing wavelength-dependent systematics
    Invoked when applying the technique to both new and archival data.

pith-pipeline@v0.9.0 · 5694 in / 1292 out tokens · 21237 ms · 2026-05-16T12:32:13.749530+00:00 · methodology

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Works this paper leans on

98 extracted references · 98 canonical work pages

  1. [1]

    M., Sip o cz , B

    Astropy Collaboration, Price-Whelan, A. M., Sip˝ ocz, B. M., et al. 2018, AJ, 156, 123, doi: 10.3847/1538-3881/aabc4f

  2. [2]

    Becker, A. 2015, HOTPANTS: High Order Transform of PSF ANd Template Subtraction,, Astrophysics Source Code Library, record ascl:1504.004 http://ascl.net/1504.004 13 0.04 0.00 0.04 gi = 20.0+0.7 0.7 a Input = 20min g i 0.04 0.00 0.04 Relative Magnitude gi = 17.6+0.8 0.9 sub-structure b 20 min 0.04 0.00 0.04 gi = 14.0+0.7 0.5 c 20 min 20 min 0 50 100 150 20...

  3. [3]

    2013, PSFEx: Point Spread Function Extractor,, Astrophysics Source Code Library, record ascl:1301.001

    Bertin, E. 2013, PSFEx: Point Spread Function Extractor,, Astrophysics Source Code Library, record ascl:1301.001

  4. [4]

    1996, , 117, 393, 10.1051/aas:1996164

    Bertin, E., & Arnouts, S. 1996, A&AS, 117, 393, doi: 10.1051/aas:1996164

  5. [5]

    2002, in Astronomical Society of the Pacific Conference Series, Vol

    Bertin, E., Mellier, Y., Radovich, M., et al. 2002, in Astronomical Society of the Pacific Conference Series, Vol. 281, Astronomical Data Analysis Software and Systems XI, ed. D. A. Bohlender, D. Durand, & T. H. Handley, 228

  6. [6]

    2016, Photutils: Photometry tools,, Astrophysics Source Code Library, record ascl:1609.011

    Bradley, L., Sipocz, B., Robitaille, T., et al. 2016, Photutils: Photometry tools,, Astrophysics Source Code Library, record ascl:1609.011

  7. [7]

    d., Seth, A

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

  8. [8]

    M., Baliber , N., Bianco , F

    Brown, T. M., Baliber, N., Bianco, F. B., et al. 2013, PASP, 125, 1031, doi: 10.1086/673168

  9. [9]

    R., Riffel, R

    Brum, C., Diniz, M. R., Riffel, R. A., et al. 2019, MNRAS, 486, 691, doi: 10.1093/mnras/stz893

  10. [10]

    M., Bentz, M

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

  11. [11]

    M., Chiang, C.-Y., McHardy, I., et al

    Cackett, E. M., Chiang, C.-Y., McHardy, I., et al. 2018, ApJ, 857, 53, doi: 10.3847/1538-4357/aab4f7

  12. [12]

    J., Almaini, O., et al

    Cackett, E. M., Horne, K., & Winkler, H. 2007, MNRAS, 380, 669, doi: 10.1111/j.1365-2966.2007.12098.x

  13. [13]

    2020, ApJ, 892, 63, doi: 10.3847/1538-4357/ab7991

    Cai, Z.-Y., Wang, J.-X., & Sun, M. 2020, ApJ, 892, 63, doi: 10.3847/1538-4357/ab7991

  14. [14]

    2018, ApJ, 855, 117, doi: 10.3847/1538-4357/aab091

    Cai, Z.-Y., Wang, J.-X., Zhu, F.-F., et al. 2018, ApJ, 855, 117, doi: 10.3847/1538-4357/aab091

  15. [15]

    R., Tinker, J

    Cameron, D. T., McHardy, I., Dwelly, T., et al. 2012, MNRAS, 422, 902, doi: 10.1111/j.1365-2966.2012.20677.x 14

  16. [16]

    2017, pyLCSIM: X-ray lightcurves simulator,, Astrophysics Source Code Library, record ascl:1708.016 http://ascl.net/1708.016

    Campana, R. 2017, pyLCSIM: X-ray lightcurves simulator,, Astrophysics Source Code Library, record ascl:1708.016 http://ascl.net/1708.016

  17. [17]

    H.-H., Fagin, J., Best, H., & O’Dowd, M

    Chan, J. H.-H., Fagin, J., Best, H., & O’Dowd, M. J. 2024, ApJ, 978, 54, doi: 10.3847/1538-4357/ad93af

  18. [18]

    2019, Nature Astronomy, 3, 251, doi: 10.1038/s41550-018-0659-x

    Chelouche, D., Pozo Nu˜ nez, F., & Kaspi, S. 2019, Nature Astronomy, 3, 251, doi: 10.1038/s41550-018-0659-x

  19. [19]

    2024, ApJL, 971, L2, doi: 10.3847/2041-8213/ad62f7

    Chen, X., Kumar, B., Er, X., et al. 2024, ApJL, 971, L2, doi: 10.3847/2041-8213/ad62f7

  20. [20]

    2020, ApJ, 892, 93, doi: 10.3847/1538-4357/ab7a98

    Cho, H., Woo, J.-H., Hodges-Kluck, E., et al. 2020, ApJ, 892, 93, doi: 10.3847/1538-4357/ab7a98

  21. [21]

    2021, ApJ, 921, 98, doi: 10.3847/1538-4357/ac1e92

    Cho, H., Woo, J.-H., Treu, T., et al. 2021, ApJ, 921, 98, doi: 10.3847/1538-4357/ac1e92

  22. [22]

    J., Horne, K., Kaspi, S., et al

    Collier, S. J., Horne, K., Kaspi, S., et al. 1998, ApJ, 500, 162, doi: 10.1086/305720 De Rosa, G., Peterson, B. M., Ely, J., et al. 2015, ApJ, 806, 128, doi: 10.1088/0004-637X/806/1/128 den Brok, M., Seth, A. C., Barth, A. J., et al. 2015, ApJ, 809, 101, doi: 10.1088/0004-637X/809/1/101

  23. [23]

    V., Kaspi, S., et al

    Desroches, L.-B., Filippenko, A. V., Kaspi, S., et al. 2006, ApJ, 650, 88, doi: 10.1086/507263

  24. [24]

    2010, ApJL, 727, L24, doi: 10.1088/2041-8205/727/1/L24

    Dexter, J., & Agol, E. 2010, ApJL, 727, L24, doi: 10.1088/2041-8205/727/1/L24

  25. [25]

    2022, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol

    Diaz, R., Goodsell, S., Hirst, P., Kim, H., & Kleinman, S. 2022, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 12184, Ground-based and Airborne Instrumentation for Astronomy IX, ed. C. J. Evans, J. J. Bryant, & K. Motohara, 1218406, doi: 10.1117/12.2630481

  26. [26]

    2025, ApJ, 989, 19, doi: 10.3847/1538-4357/adea3d

    Du, G., Cheng, Y., Yang, Y.-P., et al. 2025, ApJ, 989, 19, doi: 10.3847/1538-4357/adea3d

  27. [27]

    M., Horne, K., McHardy, I

    Edelson, R., Gelbord, J. M., Horne, K., McHardy, I. M., & Peterson. 2015, Astrophysical Journal, 806, 129, doi: 10.1088/0004-637X/806/1/129

  28. [28]

    M., Gelbord, J., et al

    Edelson, R., Peterson, B. M., Gelbord, J., et al. 2024, ApJ, 973, 152, doi: 10.3847/1538-4357/ad64d4

  29. [29]

    2019, ApJ, 870, 123, doi: 10.3847/1538-4357/aaf3b4

    Edelson, R., Gelbord, J., Cackett, E., et al. 2019, ApJ, 870, 123, doi: 10.3847/1538-4357/aaf3b4

  30. [30]

    M., Denney, K

    Fausnaugh, M. M., Denney, K. D., Barth, A. J., et al. 2016, ApJ, 821, 56, doi: 10.3847/0004-637X/821/1/56

  31. [31]

    2025, arXiv e-prints, arXiv:2512.18276, doi: 10.48550/arXiv.2512.18276

    Feng, H.-C., Li, S.-S., Sun, M., et al. 2025, arXiv e-prints, arXiv:2512.18276, doi: 10.48550/arXiv.2512.18276

  32. [32]

    V., & Ho, L

    Filippenko, A. V., & Ho, L. C. 2003, ApJL, 588, L13–L16, doi: 10.1086/375361

  33. [33]

    2017, MNRAS, 470, 3591, doi: 10.1093/mnras/stx946

    Gardner, E., & Done, C. 2017, MNRAS, 470, 3591, doi: 10.1093/mnras/stx946

  34. [34]

    M., & Peterson, B

    Gaskell, C. M., & Peterson, B. M. 1987, ApJS, 65, 1, doi: 10.1086/191216

  35. [35]

    J., Edelson, R., et al

    Gonzalez-Buitrago, D., Barth, A. J., Edelson, R., et al. 2025, MNRAS, 542, 2572, doi: 10.1093/mnras/staf1334

  36. [36]

    J., & Wang, S

    Guo, H., Barth, A. J., & Wang, S. 2022b, ApJ, 940, 20, doi: 10.3847/1538-4357/ac96ec

  37. [37]

    2018, PyQSOFit: Python code to fit the spectrum of quasars,, Astrophysics Source Code Library, record ascl:1809.008 http://ascl.net/1809.008

    Guo, H., Shen, Y., & Wang, S. 2018, PyQSOFit: Python code to fit the spectrum of quasars,, Astrophysics Source Code Library, record ascl:1809.008 http://ascl.net/1809.008

  38. [38]

    2017, ApJ, 847, 132, doi: 10.3847/1538-4357/aa8d71

    Guo, H., Wang, J., Cai, Z., & Sun, M. 2017, ApJ, 847, 132, doi: 10.3847/1538-4357/aa8d71

  39. [39]

    J., Korista, K

    Guo, H., Barth, A. J., Korista, K. T., et al. 2022a, ApJ, 927, 60, doi: 10.3847/1538-4357/ac4bc6

  40. [40]

    C., & Wang, J.-M

    Guo, W.-J., Li, Y.-R., Zhang, Z.-X., Ho, L. C., & Wang, J.-M. 2022, ApJ, 929, 19, doi: 10.3847/1538-4357/ac4e84

  41. [41]

    B., Sarrouh, G

    Hall, P. B., Sarrouh, G. T., & Horne, K. 2018, ApJ, 854, 93, doi: 10.3847/1538-4357/aaa768 Hern´ andez Santisteban, J. V., Edelson, R., Horne, K., et al. 2020, MNRAS, 498, 5399, doi: 10.1093/mnras/staa2365

  42. [42]

    Ho, L. C. 2009, ApJ, 699, 638, doi: 10.1088/0004-637X/699/1/638

  43. [43]

    R., Grier, C

    Homayouni, Y., Trump, J. R., Grier, C. J., et al. 2019, ApJ, 880, 126, doi: 10.3847/1538-4357/ab2638

  44. [44]

    2023, A&A, 670, A147, doi: 10.1051/0004-6361/202244352

    Jaiswal, Vikram Kumar, Prince, Raj, Panda, Swayamtrupta, & Czerny, Bo˙ zena. 2023, A&A, 670, A147, doi: 10.1051/0004-6361/202244352

  45. [45]

    S., Stanek, K

    Jayasinghe, T., Kochanek, C. S., Stanek, K. Z., et al. 2018, MNRAS, 477, 3145, doi: 10.1093/mnras/sty838

  46. [46]

    Z., Kochanek, C

    Jayasinghe, T., Stanek, K. Z., Kochanek, C. S., et al. 2019, MNRAS, 485, 961, doi: 10.1093/mnras/stz444

  47. [47]

    K., Joshi, R., Chand, H., et al

    Jha, V. K., Joshi, R., Chand, H., et al. 2022, MNRAS, 511, 3005, doi: 10.1093/mnras/stac109

  48. [48]

    M., & Davis, S

    Jiang, Y.-F., Blaes, O., Stone, J. M., & Davis, S. W. 2019, ApJ, 885, 144, doi: 10.3847/1538-4357/ab4a00

  49. [49]

    J., Greene, J

    Jiang, Y.-F., Green, P. J., Greene, J. E., et al. 2017, ApJ, 836, 186, doi: 10.3847/1538-4357/aa5b91

  50. [50]

    S., Papadakis, I

    Kammoun, E. S., Papadakis, I. E., & Dovˇ ciak, M. 2019, ApJL, 879, L24, doi: 10.3847/2041-8213/ab2a72

  51. [51]

    S., Papadakis, I

    Kammoun, E. S., Papadakis, I. E., & Dovˇ ciak, M. 2021, MNRAS, 503, 4163, doi: 10.1093/mnras/stab725

  52. [52]

    A., et al

    Kara, E., Mehdipour, M., Kriss, G. A., et al. 2021, ApJ, 922, 151, doi: 10.3847/1538-4357/ac2159

  53. [53]

    J., Cackett, E

    Kara, E., Barth, A. J., Cackett, E. M., et al. 2023, ApJ, 947, 62, doi: 10.3847/1538-4357/acbcd3

  54. [54]

    C., Bechtold, J., & Siemiginowska, A

    Kelly, B. C., Bechtold, J., & Siemiginowska, A. 2009, ApJ, 698, 895, doi: 10.1088/0004-637X/698/1/895

  55. [55]

    T., & Goad, M

    Korista, K. T., & Goad, M. R. 2001, ApJ, 553, 695, doi: 10.1086/320964

  56. [56]

    T., & Goad, M

    Korista, K. T., & Goad, M. R. 2019, MNRAS, 489, 5284, doi: 10.1093/mnras/stz2330

  57. [57]

    H., Horne, K., Kallman, T

    Krolik, J. H., Horne, K., Kallman, T. R., et al. 1991, ApJ, 371, 541, doi: 10.1086/169918 15

  58. [58]

    W., Mierle, K., Blanton, M., & Roweis, S

    Lang, D., Hogg, D. W., Mierle, K., Blanton, M., & Roweis, S. 2010, The Astronomical Journal, 139, 1782, doi: 10.1088/0004-6256/139/5/1782

  59. [59]

    2018, MNRAS, 481, 533, doi: 10.1093/mnras/sty2242

    Vestergaard, M. 2018, MNRAS, 481, 533, doi: 10.1093/mnras/sty2242

  60. [60]

    M., et al

    Lewin, C., Kara, E., Cackett, E. M., et al. 2023, ApJ, 954, 33, doi: 10.3847/1538-4357/ace77b

  61. [61]

    J., et al

    Lewin, C., Kara, E., Barth, A. J., et al. 2024, ApJ, 974, 271, doi: 10.3847/1538-4357/ad6b08

  62. [62]

    N., et al

    Li, Jennifer, I.-H., Shen, Y., Brandt, W. N., et al. 2019, ApJ, 884, 119, doi: 10.3847/1538-4357/ab41fb

  63. [63]

    2019, MNRAS, 483, 2275, doi: 10.1093/mnras/sty3245

    Li, Y.-P., Yuan, F., & Dai, X. 2019, MNRAS, 483, 2275, doi: 10.1093/mnras/sty3245

  64. [64]

    V., et al

    Liu, T., Edelson, R., Hern´ andez Santisteban, J. V., et al. 2024, ApJ, 964, 167, doi: 10.3847/1538-4357/ad23e2

  65. [65]

    M., Cameron, D

    McHardy, I. M., Cameron, D. T., Dwelly, T., et al. 2014, MNRAS, 444, 1469, doi: 10.1093/mnras/stu1636

  66. [66]

    M., Cameron, D

    McHardy, I. M., Cameron, D. T., Dwelly, T., et al. 2016, ApJ, 826, 151, doi: 10.3847/0004-637X/826/2/151

  67. [67]

    M., Beard, M., Breedt, E., et al

    McHardy, I. M., Beard, M., Breedt, E., et al. 2023, MNRAS, 519, 3366, doi: 10.1093/mnras/stac3651

  68. [68]

    W., Guo, H., Barth, A

    Montano, J. W., Guo, H., Barth, A. J., et al. 2022, ApJL, 934, L37, doi: 10.3847/2041-8213/ac7e54

  69. [69]

    W., Kochanek, C

    Morgan, C. W., Kochanek, C. S., Morgan, N. D., & Falco, E. E. 2010, ApJ, 712, 1129, doi: 10.1088/0004-637X/712/2/1129

  70. [70]

    2018, ApJ, 862, 123, doi: 10.3847/1538-4357/aac9bb

    Mudd, D., Martini, P., Zu, Y., Kochanek, C., & Peterson. 2018, ApJ, 862, 123, doi: 10.3847/1538-4357/aac9bb

  71. [71]

    1995, ApJ, 452, 710, doi: 10.1086/176343

    Narayan, R., & Yi, I. 1995, ApJ, 452, 710, doi: 10.1086/176343

  72. [72]

    2020, in Ground-based and Airborne Instrumentation for Astronomy VIII, ed

    Narita, N., Fukui, A., Yamamuro, T., et al. 2020, in Ground-based and Airborne Instrumentation for Astronomy VIII, ed. C. J. Evans, J. J. Bryant, & K. Motohara, Vol. 11447, International Society for Optics and Photonics (SPIE), 114475K, doi: 10.1117/12.2559947

  73. [73]

    2022, MNRAS, 509, 2637, doi: 10.1093/mnras/stab3133

    Netzer, H. 2022, MNRAS, 509, 2637, doi: 10.1093/mnras/stab3133

  74. [74]

    A., Neilsen, J., Markoff, S

    Nowak, M. A., Neilsen, J., Markoff, S. B., et al. 2012, ApJ, 759, doi: 10.1088/0004-637X/759/2/95 O’Neill, P. M., Kaspi, S., Laor, A., et al. 2006, ApJ, 645, 160, doi: 10.1086/504031

  75. [75]

    C., Connolly, S

    Pal, M., Dewangan, G. C., Connolly, S. D., & Misra, R. 2017, MNRAS, 466, 1777, doi: 10.1093/mnras/stw3173

  76. [76]

    2025, ApJ, 983, 132, doi: 10.3847/1538-4357/adbf95

    Panagiotou, C., Papadakis, I., Kara, E., et al. 2025, ApJ, 983, 132, doi: 10.3847/1538-4357/adbf95

  77. [77]

    M., Wanders, I., Horne, K., et al

    Peterson, B. M., Wanders, I., Horne, K., et al. 1998, PASP, 110, 660, doi: 10.1086/316177

  78. [78]

    M., Bentz, M

    Peterson, B. M., Bentz, M. C., Desroches, L.-B., et al. 2005, ApJ, 632, 799, doi: 10.1086/444494

  79. [79]

    Press, W. H. 1978, Comments on Astrophysics, 7, 103

  80. [80]

    I., & Sergeeva, E

    Merkulova, N. I., & Sergeeva, E. A. 2005, ApJ, 622, 129, doi: 10.1086/427820

Showing first 80 references.