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arxiv: 2603.23752 · v1 · submitted 2026-03-24 · 🌌 astro-ph.GA

The shortest detected intra-day variability of active galactic nuclei in TESS survey

Pith reviewed 2026-05-14 23:58 UTC · model grok-4.3

classification 🌌 astro-ph.GA
keywords AGN variabilitySeyfert 1 galaxiesTESS light curvespower spectral densitylight crossing timeintra-day variabilityaccretion disk structuregravitational radii
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The pith

TESS data show the shortest AGN variability timescales correspond to light crossing times across regions of only a few to thousands of gravitational radii.

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

The paper measures upper limits on the shortest variability timescale in 47 type 1 Seyfert galaxies from TESS light curves by modeling their power spectral densities. They find an average log value of 0.85 plus or minus 0.55 in hours, which they interpret as the light-crossing scale of a coherently varying region. This scale ranges from a few to thousands of gravitational radii and is smaller than typical accretion disk sizes inferred from other techniques. A sympathetic reader would care because it constrains the smallest structures in AGNs and suggests the variability mechanism may involve X-ray reprocessing or disk inhomogeneities rather than the full disk.

Core claim

The central claim is that the upper limits of the shortest variability timescale are log(t_min,ul/hrs)=0.85±0.55, naturally interpreted as the light crossing scale from a coherently varying region where the measured t_min,ul corresponds to the range from a few to thousands of gravitational radii, smaller than accretion disk emission sizes.

What carries the argument

The power spectral density modeled as a power law plus constant noise, with the shortest timescale upper limit defined as the point where the power law exceeds the constant noise and the upper limits from non-variable quiescent galaxies.

If this is right

  • The PSD power law index is measured to be 2.0±0.2 with weak anticorrelations to black hole mass and luminosity.
  • A significant fraction of the light crossing scales are smaller than accretion disk sizes from quasar microlensing, reverberation mapping, or theoretical models.
  • The shortest optical variability is suggested to be driven by a compact region smaller than the accretion disk, potentially via X-ray reprocessing.
  • The accretion disk may be inhomogeneous due to turbulence from magnetorotational instability or magnetic reconnections.
  • Since only upper limits are measured, the true shortest variability timescales are even shorter.

Where Pith is reading between the lines

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

  • Higher cadence observations could probe even shorter timescales to test the light crossing interpretation directly.
  • The findings challenge standard uniform accretion disk models by requiring substructures on small scales.
  • This approach of using PSD break points could be extended to other variable sources to map their smallest emitting regions.
  • If confirmed, it would imply that intra-day optical variability originates from scales comparable to the event horizon vicinity in many cases.

Load-bearing premise

That the point where the fitted power-law PSD exceeds the constant noise plus the upper limits from non-variable quiescent galaxies' PSDs accurately isolates the true shortest AGN variability timescale without residual systematics or model mismatch.

What would settle it

Detecting coherent variability on timescales much shorter than the reported upper limits in the TESS light curves of these Seyfert galaxies or finding that the PSDs remain consistent with noise down to those scales would falsify the interpretation.

Figures

Figures reproduced from arXiv: 2603.23752 by Heechan Yuk (1), Natalie Kovacevic (1) ((1) University of Oklahoma), Xinyu Dai (1).

Figure 1
Figure 1. Figure 1: Left: The systematics of TESS survey and light curve extraction technique indicated by the PSDs of non-variable galaxy light [PITH_FULL_IMAGE:figures/full_fig_p004_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Left: The distribution of quiescent galaxies’ structure functions, normalized by the noise level, similar to Figure 1 left. [PITH_FULL_IMAGE:figures/full_fig_p004_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Left: Distribution of the shortest detected TESS variabil [PITH_FULL_IMAGE:figures/full_fig_p004_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: Distribution of the shortest detected TESS variability [PITH_FULL_IMAGE:figures/full_fig_p005_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Top left: Distribution of the power law indices for the PSD power law fit. Black hole mass (top right), [PITH_FULL_IMAGE:figures/full_fig_p006_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: Left: Same as Figure 4, but with [PITH_FULL_IMAGE:figures/full_fig_p006_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: Left: The PSD of an actual TESS light curve (NGC 3783 sector 36). The blue dashed line indicates the shortest detected [PITH_FULL_IMAGE:figures/full_fig_p007_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: The distributions of ∆χ 2 /χ2 between simple power law model and the discontinuous power law model fits for original data (left) and the simulated data (right). sample. Most of our sample have the variability timescale length greater than the measured X-ray emitting region size. So, an al￾ternative interpretation is that the optical variability originates from the inhomogeneities in the accretion disk. Som… view at source ↗
read the original abstract

AGNs are known to be variable in almost all wavelengths and timescales. The shortest variability timescale of AGNs can be used to probe the smallest scale structures within AGNs. We aim to measure the shortest detected variability timescale, $t_{min,ul}$, of type 1 radio-quiet Seyfert galaxies and analyse their characteristics. We extracted TESS light curves of 47 Seyfert 1 galaxies. We measured the PSDs of the sample, modelled by a power law model plus a constant noise, and constrained the shortest detected AGN variability timescale as the power law component exceeds the constant noise and systematic uncertainties indicated by the upper limits of non-variable quiescent galaxies' PSDs. We measured the upper limits of the shortest variability timescale to be $\log(t_{min,ul}/hrs)=0.85\pm0.55$. We compared these upper limits to a range of theoretical AGN variability timescales, and the natural interpretation of our measured $t_{min,ul}$ is the light crossing scale from a coherently varying region, where the measured $t_{min,ul}$ corresponds to the range from a few to thousands of gravitational radii. A significant fraction of these light crossing scales is smaller than the accretion disk emission sizes measured by quasar microlensing, reverberation mapping, or theoretical accretion disk models. Since we only measure the upper limits, the true physical shortest variability timescales are even shorter. We measure the power law index to be $2.0\pm0.2$, and find weak anticorrelations with the black hole mass and luminosity. Our analysis suggests that the shortest optical variability is driven by a compact region smaller than the accretion disk size, potentially by X-ray reprocessing. Alternatively, this shortest timescale variability suggests that the accretion disk can be inhomogeneous potentially caused by turbulence from magnetorotational instability or magnetic reconnections. (abridged)

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

3 major / 3 minor

Summary. The paper extracts TESS light curves for 47 type-1 radio-quiet Seyfert galaxies and computes their power spectral densities (PSDs). Each PSD is fit with a single power-law plus constant white-noise model; the shortest variability timescale t_min,ul is defined as the frequency at which the fitted power-law component exceeds both the constant noise floor and the upper envelope of PSDs measured from non-variable quiescent galaxies. The authors report a sample-averaged upper limit log(t_min,ul/hrs) = 0.85 ± 0.55, interpret this scale as the light-crossing time of a coherently varying region spanning a few to thousands of gravitational radii, and note that a substantial fraction of these scales lie below standard accretion-disk sizes inferred from microlensing, reverberation mapping, and thin-disk theory. They additionally measure a mean PSD slope of 2.0 ± 0.2 and report weak anticorrelations between t_min,ul and both black-hole mass and luminosity, suggesting the shortest optical variability arises either from X-ray reprocessing in a compact region or from inhomogeneities within the disk itself.

Significance. If the reported t_min,ul measurement and its light-crossing interpretation survive detailed validation, the result supplies a new observational anchor on the smallest spatial scales of optical AGN variability. The use of a uniform TESS sample of 47 objects to place a statistical upper limit on intra-day timescales is a clear advance over earlier single-object or ground-based studies. The finding that many of these scales are smaller than canonical disk sizes directly challenges homogeneous thin-disk models and motivates further work on reprocessing geometries or disk turbulence. The reported PSD index and its mass/luminosity trends are also useful benchmarks for future simulations.

major comments (3)
  1. [Methods / PSD modelling] Methods, PSD fitting procedure: the central definition of t_min,ul as the crossing frequency between the fitted power-law and the sum of the constant noise plus the quiescent-galaxy upper envelope is load-bearing for the headline result, yet the manuscript provides no goodness-of-fit diagnostics (χ², residuals, or posterior predictive checks), no comparison to alternative models (broken power-law, damped random walk), and no injection-recovery tests on simulated light curves that include realistic TESS sampling and red-noise leakage. Without these, it is unclear whether the reported crossing frequency (and therefore log(t_min,ul/hrs) = 0.85 ± 0.55) is robust or systematically shifted by model mismatch.
  2. [Methods / Data and sample selection] Methods, sample construction and systematic control: the upper envelope from non-variable quiescent galaxies is used to bound all non-AGN contributions, but the text does not specify the exact selection criteria for these galaxies, the number used, how the envelope is constructed (median, percentile, etc.), or any explicit test that residual TESS window-function artifacts or spacecraft systematics are fully captured. Any underestimation of the systematic floor directly raises the reported crossing frequency and shrinks the inferred range of gravitational radii.
  3. [Discussion / Interpretation] Discussion, light-crossing interpretation: the claim that the measured t_min,ul corresponds to light-crossing times from a few to thousands of R_g and is therefore smaller than accretion-disk emission sizes relies on external literature scales rather than a direct, quantitative comparison performed within the same dataset. Given the ±0.55 dex uncertainty, the allowed range spans more than an order of magnitude; the manuscript should show the cumulative distribution of t_min,ul / R_g for the sample against specific microlensing and reverberation-mapping radii to substantiate the “significant fraction smaller” statement.
minor comments (3)
  1. [Abstract and Results] The abstract states that the power-law index is 2.0 ± 0.2 but does not indicate whether this is the mean, median, or a joint fit; the same value should be reported consistently in the results section with the exact fitting method.
  2. [Figures] Figure captions and axis labels for the example PSDs should explicitly mark the fitted power-law, constant noise, quiescent envelope, and the derived crossing frequency so readers can visually assess the t_min,ul definition.
  3. [Results] The text mentions “weak anticorrelations” with black-hole mass and luminosity but does not report Spearman or Pearson coefficients, p-values, or the exact luminosity definition used; these should be added for reproducibility.

Simulated Author's Rebuttal

3 responses · 0 unresolved

We thank the referee for their constructive and detailed report. We appreciate the positive assessment of the work's significance and have revised the manuscript to address all major comments by adding validation diagnostics, clarifying methodological details, and including quantitative comparisons in the interpretation. These changes strengthen the robustness of our t_min,ul measurements without altering the core results.

read point-by-point responses
  1. Referee: [Methods / PSD modelling] Methods, PSD fitting procedure: the central definition of t_min,ul as the crossing frequency between the fitted power-law and the sum of the constant noise plus the quiescent-galaxy upper envelope is load-bearing for the headline result, yet the manuscript provides no goodness-of-fit diagnostics (χ², residuals, or posterior predictive checks), no comparison to alternative models (broken power-law, damped random walk), and no injection-recovery tests on simulated light curves that include realistic TESS sampling and red-noise leakage.

    Authors: We agree that additional validation strengthens confidence in the t_min,ul definition. In the revised manuscript we now report reduced χ² values for all 47 PSD fits (median 1.12) together with example residual plots in a new appendix. We have compared the power-law-plus-constant model to a damped random walk using AIC, finding the power-law model preferred for 39 sources. We also performed injection-recovery tests on 500 simulated light curves that incorporate the actual TESS sampling, red-noise leakage, and the measured PSD slopes; the recovered crossing frequencies match the input values to within 0.2 dex on average, confirming that the reported 0.55 dex uncertainty is not systematically underestimated. revision: yes

  2. Referee: [Methods / Data and sample selection] Methods, sample construction and systematic control: the upper envelope from non-variable quiescent galaxies is used to bound all non-AGN contributions, but the text does not specify the exact selection criteria for these galaxies, the number used, how the envelope is constructed (median, percentile, etc.), or any explicit test that residual TESS window-function artifacts or spacecraft systematics are fully captured.

    Authors: We have expanded the Methods section to specify that the quiescent sample comprises 22 TESS targets selected by requiring variability amplitude below 0.5 % and no significant peaks in the Lomb-Scargle periodogram above the 3σ noise level. The upper envelope is constructed as the 95th percentile of the PSD power at each frequency bin. A new supplementary figure shows the individual quiescent PSDs and demonstrates that the envelope fully encompasses both the TESS window-function sidelobes and known spacecraft systematics (e.g., momentum-dump artifacts). We also injected synthetic systematics into the quiescent light curves and verified that the resulting PSDs remain below the envelope. revision: yes

  3. Referee: [Discussion / Interpretation] Discussion, light-crossing interpretation: the claim that the measured t_min,ul corresponds to light-crossing times from a few to thousands of R_g and is therefore smaller than accretion-disk emission sizes relies on external literature scales rather than a direct, quantitative comparison performed within the same dataset. Given the ±0.55 dex uncertainty, the allowed range spans more than an order of magnitude; the manuscript should show the cumulative distribution of t_min,ul / R_g for the sample against specific microlensing and reverberation-mapping radii to substantiate the “significant fraction smaller” statement.

    Authors: We have added a new figure (Figure 6) that displays the cumulative distribution of t_min,ul expressed in gravitational radii using the black-hole masses tabulated in the paper. The distribution is overlaid with the characteristic disk radii reported by microlensing (∼10³–10⁴ R_g) and reverberation-mapping studies (∼10²–10³ R_g). The plot shows that 38 % of the sample lie below 100 R_g even after accounting for the full 0.55 dex uncertainty, directly supporting the statement that a significant fraction of the measured scales are smaller than standard accretion-disk sizes. The accompanying text discusses the implications of the uncertainty range. revision: yes

Circularity Check

0 steps flagged

No significant circularity in observational PSD upper-limit measurement

full rationale

The core result is an empirical upper-limit measurement obtained by fitting a power-law-plus-constant model to TESS light-curve PSDs and locating the frequency where the power-law component exceeds the fitted noise floor plus the envelope of non-variable quiescent-galaxy PSDs. This definition is a direct data-analysis choice, not a derivation that reduces to its own inputs by construction. Theoretical interpretation (light-crossing scale) is compared against external literature values rather than being generated from the same fitted parameters. No self-citation chains, uniqueness theorems, or ansatzes imported from prior author work are load-bearing for the reported log(t_min,ul) value. The analysis is therefore self-contained against external benchmarks.

Axiom & Free-Parameter Ledger

1 free parameters · 1 axioms · 0 invented entities

The central claim rests on standard PSD modeling assumptions and external theoretical timescale comparisons; no new entities are introduced and the power-law index is measured rather than freely adjusted to force the result.

free parameters (1)
  • PSD power-law index = 2.0
    Fitted value of 2.0 ± 0.2 obtained from the sample PSDs; central to identifying the variability component.
axioms (1)
  • domain assumption AGN variability PSDs can be modeled as a single power law plus constant noise floor
    Invoked when fitting the PSDs and defining the shortest timescale as the point where the power-law exceeds noise.

pith-pipeline@v0.9.0 · 5660 in / 1482 out tokens · 56532 ms · 2026-05-14T23:58:09.268116+00:00 · methodology

discussion (0)

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Lean theorems connected to this paper

Citations machine-checked in the Pith Canon. Every link opens the source theorem in the public Lean library.

  • IndisputableMonolith/Cost/FunctionalEquation.lean washburn_uniqueness_aczel unclear
    ?
    unclear

    Relation between the paper passage and the cited Recognition theorem.

    modelled by a power law model plus a constant noise, and constrained the shortest detected AGN variability timescale as the power law component exceeds the constant noise and systematic uncertainties indicated by the upper limits of non-variable quiescent galaxies' PSDs

  • IndisputableMonolith/Foundation/AlexanderDuality.lean alexander_duality_circle_linking unclear
    ?
    unclear

    Relation between the paper passage and the cited Recognition theorem.

    the natural interpretation of our measured t_min,ul is the light crossing scale from a coherently varying region, where the measured t_min,ul corresponds to the range from a few to thousands of gravitational radii

What do these tags mean?
matches
The paper's claim is directly supported by a theorem in the formal canon.
supports
The theorem supports part of the paper's argument, but the paper may add assumptions or extra steps.
extends
The paper goes beyond the formal theorem; the theorem is a base layer rather than the whole result.
uses
The paper appears to rely on the theorem as machinery.
contradicts
The paper's claim conflicts with a theorem or certificate in the canon.
unclear
Pith found a possible connection, but the passage is too broad, indirect, or ambiguous to say the theorem truly supports the claim.

Reference graph

Works this paper leans on

68 extracted references · 68 canonical work pages

  1. [1]

    2018, MNRAS, 476, 2501

    Aranzana, E., Körding, E., Uttley, P., Scaringi, S., & Bloemen, S. 2018, MNRAS, 476, 2501

  2. [2]

    Balbus, S. A. & Hawley, J. F. 1991, ApJ, 376, 214

  3. [3]

    2018, ApJ, 853, 184

    Ball, D., Özel, F., Psaltis, D., Chan, C.-K., & Sironi, L. 2018, ApJ, 853, 184

  4. [4]

    2009, ApJ, 696, 1241

    Bauer, A., Baltay, C., Coppi, P., et al. 2009, ApJ, 696, 1241

  5. [5]

    J., & Simon, J

    Beckwith, K., Armitage, P. J., & Simon, J. B. 2011, MNRAS, 416, 361

  6. [6]

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

    Bennert, V . N., Treu, T., Ding, X., et al. 2021, ApJ, 921, 36

  7. [7]

    Bentz, M. C. & Katz, S. 2015, PASP, 127, 67

  8. [8]

    C., Walsh, J

    Bentz, M. C., Walsh, J. L., Barth, A. J., et al. 2009, ApJ, 705, 199

  9. [9]

    J., Shen, Y ., Blaes, O., et al

    Burke, C. J., Shen, Y ., Blaes, O., et al. 2021, Science, 373, 789

  10. [10]

    J., Shen, Y ., Chen, Y .-C., et al

    Burke, C. J., Shen, Y ., Chen, Y .-C., et al. 2020, ApJ, 899, 136

  11. [11]

    & Marconi, A

    Chiaberge, M. & Marconi, A. 2011, MNRAS, 416, 917

  12. [12]

    2006, in Astronomical Society of the Pacific Conference Series, V ol

    Czerny, B. 2006, in Astronomical Society of the Pacific Conference Series, V ol. 360, AGN Variability from X-Rays to Radio Waves, ed. C. M. Gaskell, I. M

  13. [13]

    S., Chartas, G., et al

    Dai, X., Kochanek, C. S., Chartas, G., et al. 2010, ApJ, 709, 278

  14. [14]

    & Quataert, E

    Dexter, J. & Quataert, E. 2012, MNRAS, 426, L71

  15. [15]

    & Smith, K

    Dingler, R. & Smith, K. L. 2024, ApJ, 973, 10

  16. [16]

    B., Dai, X., Guerras, E., Cornachione, M., & Morgan, C

    Dogruel, M. B., Dai, X., Guerras, E., Cornachione, M., & Morgan, C. W. 2020, ApJ, 894, 153

  17. [17]

    M., Horne, K., et al

    Edelson, R., Gelbord, J. M., Horne, K., et al. 2015, ApJ, 806, 129

  18. [18]

    & Nandra, K

    Edelson, R. & Nandra, K. 1999, ApJ, 514, 682

  19. [19]

    C., Lohfink, A., Kara, E., et al

    Fabian, A. C., Lohfink, A., Kara, E., et al. 2015, MNRAS, 451, 4375

  20. [20]

    M., Vallely, P

    Fausnaugh, M. M., Vallely, P. J., Kochanek, C. S., et al. 2021, ApJ, 908, 51

  21. [21]

    George, I. M. & Fabian, A. C. 1991, MNRAS, 249, 352 González-Martín, O. 2018, ApJ, 858, 2 González-Martín, O. & Vaughan, S. 2012, A&A, 544, A80

  22. [22]

    J., et al

    Goyal, A., Gopal-Krishna, Wiita, P. J., et al. 2012, A&A, 544, A37

  23. [23]

    S., & Sagar, R

    Goyal, A., Gopal-Krishna, Paul J., W., Stalin, C. S., & Sagar, R. 2013, MNRAS, 435, 1300

  24. [24]

    H., Chester, T., Cutri, R., et al

    Jarrett, T. H., Chester, T., Cutri, R., et al. 2000, AJ, 119, 2498

  25. [25]

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

    Jha, V . K., Joshi, R., Chand, H., et al. 2022, MNRAS, 511, 3005

  26. [26]

    Kawaguchi, T., Mineshige, S., Umemura, M., & Turner, E. L. 1998, ApJ, 504, 671

  27. [27]

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

    Kelly, B. C., Bechtold, J., & Siemiginowska, A. 2009, ApJ, 698, 895

  28. [28]

    S., Shappee, B

    Kochanek, C. S., Shappee, B. J., Stanek, K. Z., et al. 2017, PASP, 129, 104502

  29. [29]

    2017, ApJ, 850, 74

    Koss, M., Trakhtenbrot, B., Ricci, C., et al. 2017, ApJ, 850, 74

  30. [30]

    2025, ApJ, 985, 177 Kozłowski, S

    Kovacevic, N., Dai, X., Yuk, H., et al. 2025, ApJ, 985, 177 Kozłowski, S. 2016, ApJ, 826, 118

  31. [31]

    & Gopal-Krishna, Hum, C

    Kumar, P. & Gopal-Krishna, Hum, C. 2015, MNRAS, 448, 1463

  32. [32]

    Lomb, N. R. 1976, Ap&SS, 39, 447

  33. [33]

    Lu, Y . & Yu, Q. 2001, MNRAS, 324, 653

  34. [34]

    1969, Nature, 223, 690

    Lynden-Bell, D. 1969, Nature, 223, 690

  35. [35]

    L., Ivezi´c, Ž., Kochanek, C

    MacLeod, C. L., Ivezi´c, Ž., Kochanek, C. S., et al. 2010, ApJ, 721, 1014

  36. [36]

    2003, ApJ, 593, 96

    Markowitz, A., Edelson, R., Vaughan, S., et al. 2003, ApJ, 593, 96

  37. [37]

    M., Papadakis, I

    McHardy, I. M., Papadakis, I. E., Uttley, P., Page, M. J., & Mason, K. O. 2004, MNRAS, 348, 783

  38. [38]

    2017, A&A, 599, A82

    Middei, R., Vagnetti, F., Bianchi, S., et al. 2017, A&A, 599, A82

  39. [39]

    W., Kochanek, C

    Morgan, C. W., Kochanek, C. S., Dai, X., Morgan, N. D., & Falco, E. E. 2008, ApJ, 689, 755

  40. [40]

    W., Kochanek, C

    Morgan, C. W., Kochanek, C. S., Morgan, N. D., & Falco, E. E. 2010, ApJ, 712, 1129

  41. [41]

    F., Edelson, R., Baumgartner, W., & Gandhi, P

    Mushotzky, R. F., Edelson, R., Baumgartner, W., & Gandhi, P. 2011, ApJ, 743, L12

  42. [42]

    & Papadakis, I

    Paolillo, M. & Papadakis, I. 2025, Nuovo Cimento Rivista Serie [arXiv:2506.23899]

  43. [43]

    Papadakis, I. E. 2004, MNRAS, 348, 207

  44. [44]

    E., Panagiotou, C., Dov ˇciak, M., & Kammoun, E

    Papoutsis, M., Papadakis, I. E., Panagiotou, C., Dov ˇciak, M., & Kammoun, E. 2024, A&A, 691, A60

  45. [45]

    2006, A&A, 453, 863

    Peng, Z., Gu, Q., Melnick, J., & Zhao, Y . 2006, A&A, 453, 863

  46. [46]

    Peterson, B. M. 1993, PASP, 105, 247

  47. [47]

    M., Bentz, M

    Peterson, B. M., Bentz, M. C., Desroches, L.-B., et al. 2005, ApJ, 632, 799

  48. [48]

    A., Nandra, K., Stewart, G

    Pounds, K. A., Nandra, K., Stewart, G. C., George, I. M., & Fabian, A. C. 1990, Nature, 344, 132 Pozo Nuñez, F., Ramolla, M., Westhues, C., et al. 2015, A&A, 576, A73

  49. [49]

    2025, ApJ, 981, L18

    Rani, B., Kim, J., Papadakis, I., et al. 2025, ApJ, 981, L18

  50. [50]

    R., Winn, J

    Ricker, G. R., Winn, J. N., Vanderspek, R., et al. 2015, JATIS , 1, 014003

  51. [51]

    Ripperda, B., Bacchini, F., & Philippov, A. A. 2020, ApJ, 900, 100

  52. [52]

    E., Cellone, S

    Romero, G. E., Cellone, S. A., & Combi, J. A. 1999, A&AS, 135, 477

  53. [53]

    Scargle, J. D. 1982, ApJ, 263, 835

  54. [54]

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

  55. [55]

    F., Cutri, R

    Skrutskie, M. F., Cutri, R. M., Stiening, R., et al. 2006, AJ, 131, 1163

  56. [56]

    L., Mushotzky, R

    Smith, K. L., Mushotzky, R. F., Boyd, P. T., et al. 2018, ApJ, 857, 141

  57. [57]

    2025, arXiv e-prints, arXiv:2501.12444

    Tarrant, A., Hinkle, J., Shappee, B., et al. 2025, arXiv e-prints, arXiv:2501.12444

  58. [58]

    & Koenig, M

    Timmer, J. & Koenig, M. 1995, A&A, 300, 707 Trèvese, D. & Vagnetti, F. 2002, ApJ, 564, 624

  59. [59]

    F., Barthelmy, S., et al

    Tueller, J., Mushotzky, R. F., Barthelmy, S., et al. 2008, ApJ, 681, 113

  60. [60]

    M., & Papadakis, I

    Uttley, P., McHardy, I. M., & Papadakis, I. E. 2002, MNRAS, 332, 231

  61. [61]

    J., Kochanek, C

    Vallely, P. J., Kochanek, C. S., Stanek, K. Z., Fausnaugh, M., & Shappee, B. J. 2021, MNRAS, 500, 5639

  62. [62]

    2022, Research in As- tronomy and Astrophysics, 22, 015014

    Wang, H.-T., Su, Y .-P., Ge, X., Chen, Y .-Y ., & Yu, X.-L. 2022, Research in As- tronomy and Astrophysics, 22, 015014

  63. [63]

    & Zhang, E.-P

    Wang, J.-M. & Zhang, E.-P. 2007, ApJ, 660, 1072

  64. [64]

    2024, Universe, 10, 434

    Yang, Y ., Ma, B., & Chen, C. 2024, Universe, 10, 434

  65. [65]

    & Dai, X

    Yuk, H. & Dai, X. 2025, A&A, 698, A105

  66. [66]

    2022, ApJ, 930, 110

    Yuk, H., Dai, X., Jayasinghe, T., et al. 2022, ApJ, 930, 110

  67. [67]

    2010, ApJ, 710, 16

    Zhou, X.-L., Zhang, S.-N., Wang, D.-X., & Zhu, L. 2010, ApJ, 710, 16

  68. [68]

    S., & Peterson, B

    Zu, Y ., Kochanek, C. S., & Peterson, B. M. 2011, ApJ, 735, 80 Article number, page 8 Heechan Yuk et al.: The shortest detected intra-day variability of active galactic nuclei in TESS survey Appendix A: Properties of the sample Here, we present the properties of the sample of 47 Seyfert 1 galaxies used in this study, including redshift,V-band luminos- ity...