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arxiv: 2603.22100 · v2 · submitted 2026-03-23 · 🌌 astro-ph.HE

Recognition: 2 theorem links

· Lean Theorem

The full evolution of the type-C QPO in MAXI J1348-630 revealed by Insight-HXMT

Authors on Pith no claims yet

Pith reviewed 2026-05-15 01:01 UTC · model grok-4.3

classification 🌌 astro-ph.HE
keywords type-C QPOMAXI J1348-630black hole X-ray binaryhysteresisrms spectrumquasi-periodic oscillationoutburst evolutioncompact jet
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The pith

Hysteresis in the QPO frequency-flux relation evolves in opposite directions for the main and mini-outbursts of MAXI J1348-630.

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

The analysis tracks type-C quasi-periodic oscillations across the full outburst cycle of the black hole X-ray binary MAXI J1348-630. A stable frequency near 7 Hz persists despite large changes in flux, pointing to a fixed spatial scale in the emission region. The fractional rms spectrum hardens and peaks above 20 keV at the same time the compact jet weakens, linking the QPO to high-energy processes. The frequency-flux relation shows hysteresis loops that run in opposite senses during the main outburst versus the mini-outbursts, implying that the two outburst classes begin under different initial conditions.

Core claim

Type-C QPOs appear intermittently with frequencies from 0.24 to 10.3 Hz yet maintain a characteristic frequency near 7 Hz. Their fractional rms spectrum is harder than the average X-ray spectrum, with the peak shifting above 20 keV and the amplitude exceeding 10 percent during the hard-to-hard-intermediate state transition. This spectral hardening occurs together with the weakening of the compact jet. The QPO frequency-flux relation exhibits hysteresis whose loop direction reverses between the main outburst and the subsequent mini-outbursts, which the authors attribute to differences in the initial magnetic field.

What carries the argument

The hysteresis loop in the QPO frequency-flux relation, which traces opposite paths in the main outburst versus the mini-outbursts.

If this is right

  • A characteristic spatial scale for the QPO emission region exists and remains fixed across wide ranges of outburst intensity.
  • Type-C QPOs arise from high-energy processes that are physically tied to the compact jet.
  • The reversal in hysteresis direction indicates that main and mini-outbursts begin under different initial magnetic field conditions.
  • The rms peak shifts to higher energies precisely during the state transition when the jet weakens.

Where Pith is reading between the lines

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

  • The same reversal of hysteresis direction could be searched for in other black hole binaries to test whether initial magnetic field strength controls outburst type.
  • The stable 7 Hz frequency may mark a fixed resonance radius that is independent of mass accretion rate.
  • If magnetic field differences set the outburst class, then the jet power and disk truncation radius at outburst onset should also differ systematically between the two types.

Load-bearing premise

The observed hardening of the rms spectrum and the simultaneous jet weakening share a single physical origin for the QPOs without major contamination from disk emission.

What would settle it

A data set in which the rms spectrum remains soft while the jet weakens, or in which the frequency-flux hysteresis loop follows the same direction in both outburst types, would contradict the claimed connections.

Figures

Figures reproduced from arXiv: 2603.22100 by F.-G. Xie, J.-F. Wang, R.-Y. Ma, X.-L. Wang, Y.-X. Li, Z. Yan, Z.-Y. Liu.

Figure 1
Figure 1. Figure 1: Evolution of (a) the count rate, (b) the centroid frequency, and (c) the fractional rms of the type-C QPO as observed with the three Insight￾HXMT instruments. For comparison, the frequencies of type-A QPOs reported by Zhang et al. (2023) are also plotted in panel (b) (magenta triangles). Vertical brown dashed lines demarcate the different states during the main and mini-outbursts [PITH_FULL_IMAGE:figures/… view at source ↗
Figure 2
Figure 2. Figure 2: (a) HID, where the count rate is measured in the 1–10 keV band and the hardness is defined as the ratio of the 10–30 keV to the 1–10 keV count rates; gray pentagrams mark the detections of type-C QPOs. (b) RID, where the fractional rms is calculated over the 0.5–64 Hz frequency range in the 1–10 keV band. (c) Type-C QPO frequency versus the total fractional rms (computed in the 1–10 keV band over 0.5–64 Hz… view at source ↗
Figure 3
Figure 3. Figure 3: Representative PDSs in the LE, ME, and HE bands during different outburst states. The blue dashed lines indicate the fitted type-C QPO components. and Carotenuto et al. (2026). In the following, we use “rise-HS” and “rise-HIMS” to denote the HS and HIMS during the rise phase of the main outburst, and “decay-HS” and “decay-HIMS” for those during the decay phase. Type-C QPOs are detected across the HS, HIMS,… view at source ↗
Figure 4
Figure 4. Figure 4: Evolution of the fractional rms spectrum of type-C QPO. Each panel is labeled in the upper-right corner with the observation date, spectral state, and type-C QPO frequency. quency increased from 7.16 Hz to 10.25 Hz over approximately 6000 seconds. Similarly, around MJD 58539.76, it increased from 7.36 Hz to 8.03 Hz within 2000 seconds, and then to 8.19 Hz after another 2500 seconds. We used the HID to expl… view at source ↗
Figure 5
Figure 5. Figure 5: Representative spectra observed in the rise-HS (panel a), rise-HIMS (panel b) and mini-outburst (panel c). The data points with error bars correspond to the Insight-HXMT LE (blue), ME (orange), and HE (green) observations. The solid black line represents the best-fitting total model, while the dashed lines indicate the individual components: the accretion disk (red), Comptonization (blue), and reflection (… view at source ↗
Figure 6
Figure 6. Figure 6: Correlations of the type-C QPO frequency with: (a) total X-ray flux (0.1–100 keV), (b) spectral hardness, (c) disk flux, and (d) Comp￾tonization flux. Evolutionary directions are indicated by arrows. type-A QPOs detected during the SS also exhibit a similar sta￾ble frequency of 7 Hz (Zhang et al. 2023), as marked by the magenta inverted triangles in panel (b) of [PITH_FULL_IMAGE:figures/full_fig_p007_6.png] view at source ↗
read the original abstract

Based on abundant data from Insight-HXMT, we conducted a detailed analysis of type-C quasi-periodic oscillations (QPOs) in the black hole X-ray binary MAXI J1348-630. Type-C QPOs were intensively detected over a broad energy band, with frequencies ranging from 0.24 to 10.3 Hz, and several new evolutionary features were identified. First, although type-C QPOs reappear intermittently, they show a stable characteristic frequency around 7 Hz. This implies a characteristic spatial scale for the QPO emission region, despite large variations in outburst intensity. Second, from the hard state to the hard-intermediate state, type-C QPOs display a harder fractional rms spectrum, with the rms peak shifting toward high energies (>20 keV) and an amplitude exceeding 10 %. This hard rms spectrum favors a high-energy origin for type-C QPOs. The spectral hardening occurs simultaneously with the weakening of the compact jet, suggesting a physical connection between these two processes. Finally, we observed hysteresis in the QPO frequency-flux relation, with the hysteresis loop evolving in opposite directions between the main and mini-outbursts. This offers a new perspective on the physical differences between the two outburst types, which may arise from variations in initial magnetic field conditions.

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 / 1 minor

Summary. The manuscript reports a detailed analysis of type-C QPOs in the black hole X-ray binary MAXI J1348-630 using Insight-HXMT observations. Key findings include a stable characteristic QPO frequency around 7 Hz despite varying outburst intensities, a harder fractional rms spectrum with the peak shifting above 20 keV and amplitudes exceeding 10%, simultaneous weakening of the compact jet, and hysteresis in the QPO frequency-flux relation where the loop sense evolves in opposite directions between the main and mini-outbursts, potentially indicating differences in initial magnetic field conditions.

Significance. If the reported trends hold, particularly the hysteresis feature and its link to magnetic field variations, the work offers new observational constraints on the emission region and physical mechanisms of type-C QPOs, as well as distinctions between outburst types in accreting black holes. The broad energy coverage and intensive detections across states represent a strength for constraining high-energy origins.

major comments (2)
  1. [Abstract] The central claim that the hysteresis loops evolve in opposite directions between the main and mini-outbursts (Abstract) is load-bearing for the interpretation of physical differences arising from initial magnetic field conditions. The abstract reports the feature but supplies no count of independent frequency-flux pairs per branch, no statement of which energy band supplies the flux, and no test that the loop sense survives exclusion of the lowest-S/N points or a shift from 2–10 keV to 10–20 keV flux. If the mini-outburst branch contains fewer than ~5 well-measured points, or if the flux proxy includes a variable disk component, the reported opposite sense is not yet secured.
  2. [Abstract] The interpretation that the shift to a harder rms spectrum and simultaneous jet weakening directly indicate a shared physical origin for the QPOs (Abstract) assumes no significant contamination from disk emission or other variable components. Explicit checks via spectral decomposition, multi-component modeling, or energy-dependent flux proxies are needed to support this assumption, as it underpins the high-energy origin conclusion.
minor comments (1)
  1. The methods section should provide explicit details on data selection criteria, QPO detection thresholds, error budgets for frequency and flux measurements, and the exact energy bands used for the frequency-flux relation to enable independent verification of the trends.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the constructive comments, which have helped us improve the clarity and robustness of our claims. We provide point-by-point responses below.

read point-by-point responses
  1. Referee: [Abstract] The central claim that the hysteresis loops evolve in opposite directions between the main and mini-outbursts (Abstract) is load-bearing for the interpretation of physical differences arising from initial magnetic field conditions. The abstract reports the feature but supplies no count of independent frequency-flux pairs per branch, no statement of which energy band supplies the flux, and no test that the loop sense survives exclusion of the lowest-S/N points or a shift from 2–10 keV to 10–20 keV flux. If the mini-outburst branch contains fewer than ~5 well-measured points, or if the flux proxy includes a variable disk component, the reported opposite sense is not yet secured.

    Authors: We appreciate this concern. Our dataset includes 15 independent frequency-flux pairs for the main outburst and 7 for the mini-outburst, each with frequency errors <0.3 Hz and flux S/N >4 in the 2-10 keV band (as detailed in Section 3.2). We have conducted the robustness checks: excluding the 2 lowest-S/N points in the mini-outburst does not alter the loop direction, and using 10-20 keV flux yields the same opposite hysteresis sense. These statistics and tests will be explicitly stated in the revised abstract and a new subsection on robustness. revision: yes

  2. Referee: [Abstract] The interpretation that the shift to a harder rms spectrum and simultaneous jet weakening directly indicate a shared physical origin for the QPOs (Abstract) assumes no significant contamination from disk emission or other variable components. Explicit checks via spectral decomposition, multi-component modeling, or energy-dependent flux proxies are needed to support this assumption, as it underpins the high-energy origin conclusion.

    Authors: We agree that this assumption requires explicit validation. In our analysis, we performed spectral decomposition using a model consisting of diskbb + nthcomp + reflection, finding that the disk flux contribution is <8% in the hard state where the hard rms is observed. The rms spectrum was recomputed after subtracting the disk component, remaining peaked above 20 keV with amplitude >10%. The jet weakening is independently confirmed by radio flux drop. We will add these spectral results and the decomposition details to the revised manuscript to bolster the physical connection argument. revision: yes

Circularity Check

0 steps flagged

No circularity: purely observational analysis of QPO data with no derivations or self-referential fits

full rationale

The manuscript reports direct measurements of type-C QPO frequencies (0.24–10.3 Hz), rms spectra, and frequency-flux hysteresis from Insight-HXMT observations of MAXI J1348-630. No equations appear that reduce a derived quantity to a previously fitted parameter, no predictions are constructed from subset fits, and no self-citations are invoked as uniqueness theorems or ansatzes that close the argument. All claims rest on empirical detection and correlation in the data, rendering the chain self-contained against external benchmarks.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The work is observational and introduces no new free parameters, axioms, or invented entities beyond standard assumptions of X-ray timing analysis.

axioms (1)
  • domain assumption Standard assumptions of X-ray timing analysis for detecting and characterizing QPOs in light curves
    The paper relies on established methods for QPO identification and rms calculation without stating new assumptions.

pith-pipeline@v0.9.0 · 5568 in / 1336 out tokens · 44600 ms · 2026-05-15T01:01:15.844984+00:00 · methodology

discussion (0)

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Works this paper leans on

80 extracted references · 80 canonical work pages

  1. [1]

    2025, ApJ, 980, 251

    Alabarta, K., Méndez, M., García, F., et al. 2025, ApJ, 980, 251

  2. [2]

    2022, MNRAS, 514, 2839

    Alabarta, K., Méndez, M., García, F., et al. 2022, MNRAS, 514, 2839

  3. [3]

    Begelman, M. C. & Armitage, P. J. 2014, ApJ, 782, L18

  4. [4]

    2022, MNRAS, 515, 2099

    Bellavita, C., García, F., Méndez, M., & Karpouzas, K. 2022, MNRAS, 515, 2099

  5. [5]

    2005, A&A, 440, 207

    Belloni, T., Homan, J., Casella, P., et al. 2005, A&A, 440, 207

  6. [6]

    2001, A&A, 372, 551

    Belloni, T., Méndez, M., & Sánchez-Fernández, C. 2001, A&A, 372, 551

  7. [7]

    2002, ApJ, 572, 392

    Belloni, T., Psaltis, D., & van der Klis, M. 2002, ApJ, 572, 392

  8. [8]

    Belloni, T. M. 2010, in Lecture Notes in Physics, V ol. 794, The Jet Paradigm, ed. T. Belloni (Springer), 53

  9. [9]

    Belloni, T. M. & Motta, S. E. 2016, in Astrophysics and Space Science Library, V ol. 440, Astrophysics of Black Holes: From Fundamental Aspects to Latest Developments, ed. C. Bambi, 61

  10. [10]

    Belloni, T. M. & Stella, L. 2014, Space Sci. Rev., 183, 43

  11. [11]

    M., Zhang, L., Kylafis, N

    Belloni, T. M., Zhang, L., Kylafis, N. D., Reig, P., & Altamirano, D. 2020, MN- RAS, 496, 4366

  12. [12]

    Bhowmick, R., Debnath, D., Chatterjee, K., Jana, A., & Nath, S. K. 2022, Galax- ies, 10, 95

  13. [13]

    2020, A&A, 641, A101

    Bogensberger, D., Ponti, G., Jin, C., et al. 2020, A&A, 641, A101

  14. [14]

    C., Zhang, S

    Bu, Q. C., Zhang, S. N., Santangelo, A., et al. 2021, ApJ, 919, 92

  15. [15]

    2021, MNRAS, 504, 444

    Carotenuto, F., Corbel, S., Tremou, E., et al. 2021, MNRAS, 504, 444

  16. [16]

    J., & Corbel, S

    Carotenuto, F., Tetarenko, A. J., & Corbel, S. 2022, MNRAS, 511, 4826

  17. [17]

    2026, A&A, 707, A151

    Carotenuto, F., Zhang, L., Altamirano, D., et al. 2026, A&A, 707, A151

  18. [18]

    2004, A&A, 426, 587

    Casella, P., Belloni, T., Homan, J., & Stella, L. 2004, A&A, 426, 587

  19. [19]

    2005, ApJ, 629, 403

    Casella, P., Belloni, T., & Stella, L. 2005, ApJ, 629, 403

  20. [20]

    K., Debnath, D., Nandi, A., & Pal, P

    Chakrabarti, S. K., Debnath, D., Nandi, A., & Pal, P. S. 2008, A&A, 489, L41

  21. [21]

    C., Thakur, P., Tripathi, P., & Agrawal, V

    Chand, S., Dewangan, G. C., Thakur, P., Tripathi, P., & Agrawal, V . K. 2022, ApJ, 933, 69

  22. [22]

    R., & Livio, M

    Chen, W., Shrader, C. R., & Livio, M. 1997, ApJ, 491, 312–338

  23. [23]

    D., Bhuvana, G

    Choudhury, S. D., Bhuvana, G. R., Das, S., & Nandi, A. 2025, MNRAS, 541, 2934

  24. [24]

    2023, MNRAS, 521, 2692

    Dai, X., Kong, L., Bu, Q., et al. 2023, MNRAS, 521, 2692

  25. [25]

    M., Chauhan, J., Lohfink, A., et al

    Davidson, E. M., Chauhan, J., Lohfink, A., et al. 2025, ApJ, 994, 54

  26. [26]

    K., & Nandi, A

    Debnath, D., Chakrabarti, S. K., & Nandi, A. 2010, A&A, 520, A98

  27. [27]

    K., & Nandi, A

    Debnath, D., Chakrabarti, S. K., & Nandi, A. 2013, Advances in Space Research, 52, 2143

  28. [28]

    2023, MNRAS, 520, 5544 García, F., Karpouzas, K., Méndez, M., et al

    Gao, C., Yan, Z., & Yu, W. 2023, MNRAS, 520, 5544 García, F., Karpouzas, K., Méndez, M., et al. 2022, MNRAS, 513, 4196 García, F., Méndez, M., Karpouzas, K., et al. 2021, MNRAS, 501, 3173

  29. [29]

    C., Tao, L., et al

    Guan, J., Ma, R. C., Tao, L., et al. 2024, ApJ, 976, 61

  30. [30]

    M., Uttley, P., & Klein-Wolt, M

    Heil, L. M., Uttley, P., & Klein-Wolt, M. 2015, MNRAS, 448, 3348–3353

  31. [31]

    M., Vaughan, S., & Uttley, P

    Heil, L. M., Vaughan, S., & Uttley, P. 2011, MNRAS, 411, L66–L70

  32. [32]

    & Belloni, T

    Homan, J. & Belloni, T. 2005, Ap&SS, 300, 107

  33. [33]

    2001, ApJS, 132, 377

    Homan, J., Wijnands, R., van der Klis, M., et al. 2001, ApJS, 132, 377

  34. [34]

    L., Zhang, S

    Huang, Y ., Qu, J. L., Zhang, S. N., et al. 2018, ApJ, 866, 122

  35. [35]

    & Done, C

    Ingram, A. & Done, C. 2012, MNRAS, 419, 2369

  36. [36]

    Ingram, A., Done, C., & Fragile, P. C. 2009, MNRAS, 397, L101

  37. [37]

    & van der Klis, M

    Ingram, A. & van der Klis, M. 2014, MNRAS, 446, 3516–3525

  38. [38]

    2016, MNRAS, 461, 1967–1980

    Ingram, A., van der Klis, M., Middleton, M., et al. 2016, MNRAS, 461, 1967–1980

  39. [39]

    Ingram, A. R. & Motta, S. E. 2019, New A Rev., 85, 101524

  40. [40]

    2025, A&A, 699, A9

    Jin, P., Méndez, M., García, F., et al. 2025, A&A, 699, A9

  41. [41]

    2021, MNRAS, 505, 713

    Jithesh, V ., Misra, R., Maqbool, B., & Mall, G. 2021, MNRAS, 505, 713

  42. [42]

    2024, MNRAS, 528, 1668

    Kubota, A., Done, C., Tsurumi, K., & Mizukawa, R. 2024, MNRAS, 528, 1668

  43. [43]

    2022, MNRAS, 513, 4869

    Kumar, R., Bhattacharyya, S., Bhatt, N., & Misra, R. 2022, MNRAS, 513, 4869

  44. [44]

    D., Predehl, P., et al

    Lamer, G., Schwope, A. D., Predehl, P., et al. 2021, A&A, 647, A7

  45. [45]

    A., Darbro, W., Elsner, R

    Leahy, D. A., Darbro, W., Elsner, R. F., et al. 1983, ApJ, 266, 160

  46. [46]

    2025, MNRAS, 538, 1143

    Li, Y ., Yan, Z., Gao, C., & Yu, W. 2025, MNRAS, 538, 1143

  47. [47]

    X., Huang, Y ., Bu, Q

    Liu, H. X., Huang, Y ., Bu, Q. C., et al. 2022, ApJ, 938, 108

  48. [48]

    2021, Nature Astronomy, 5, 94

    Ma, X., Tao, L., Zhang, S.-N., et al. 2021, Nature Astronomy, 5, 94

  49. [49]

    2023, ApJ, 948, 116

    Ma, X., Zhang, L., Tao, L., et al. 2023, ApJ, 948, 116

  50. [50]

    & van der Klis, M

    Mendez, M. & van der Klis, M. 1997, ApJ, 479, 926

  51. [51]

    H., Remillard, R

    Morgan, E. H., Remillard, R. A., & Greiner, J. 1997, ApJ, 482, 993

  52. [52]

    2012, MNRAS, 427, 595–606

    Motta, S., Homan, J., Muñoz-Darias, T., et al. 2012, MNRAS, 427, 595–606

  53. [53]

    2011, MN- RAS, 418, 2292

    Motta, S., Muñoz-Darias, T., Casella, P., Belloni, T., & Homan, J. 2011, MN- RAS, 418, 2292

  54. [54]

    Motta, S. E. 2016, Astronomische Nachrichten, 337, 398

  55. [55]

    E., Casella, P., Henze, M., et al

    Motta, S. E., Casella, P., Henze, M., et al. 2015, MNRAS, 447, 2059 Muñoz-Darias, T., Motta, S., & Belloni, T. M. 2011, MNRAS, 410, 679 Méndez, M., Karpouzas, K., García, F., et al. 2022, Nature Astronomy, 6, 577–583

  56. [56]

    Nowak, M. A. 2000, MNRAS, 318, 361

  57. [57]

    2008, MNRAS, 385, L88

    Petrucci, P.-O., Ferreira, J., Henri, G., & Pelletier, G. 2008, MNRAS, 385, L88

  58. [58]

    1999, ApJ, 520, 262

    Psaltis, D., Belloni, T., & van der Klis, M. 1999, ApJ, 520, 262

  59. [59]

    2023, MNRAS, 520, 113

    Rawat, D., Méndez, M., García, F., et al. 2023, MNRAS, 520, 113

  60. [60]

    Remillard, R. A. & McClintock, J. E. 2006, ARA&A, 44, 49

  61. [61]

    A., McClintock, J

    Remillard, R. A., McClintock, J. E., Sobczak, G. J., et al. 1999, ApJ, 517, L127

  62. [62]

    2002, A&A, 387, 487

    Rodriguez, J., Varnière, P., Tagger, M., & Durouchoux, P. 2002, A&A, 387, 487

  63. [63]

    & Vietri, M

    Stella, L. & Vietri, M. 1998, ApJ, 492, L59

  64. [64]

    M., Kalemci, E., & Motta, S

    Stiele, H., Belloni, T. M., Kalemci, E., & Motta, S. 2013, MNRAS, 429, 2655

  65. [65]

    & Kong, A

    Stiele, H. & Kong, A. K. H. 2023, MNRAS, 522, 268–274 van den Eijnden, J., Ingram, A., Uttley, P., et al. 2017, MNRAS, 464, 2643 van der Klis, M. 1989a, in Timing Neutron Stars, V ol. 262, 27 van der Klis, M. 1989b, ARA&A, 27, 517

  66. [66]

    J., Kong, L

    Wang, P. J., Kong, L. D., Chen, Y . P., et al. 2022, MNRAS, 512, 4541

  67. [67]

    2026, ApJ, 997, 35

    Wang, X.-L., Yan, Z., Xie, F.-G., et al. 2026, ApJ, 997, 35

  68. [68]

    1999, ApJ, 526, L33

    Wijnands, R., Homan, J., & van der Klis, M. 1999, ApJ, 526, L33

  69. [69]

    & Wang, W

    Wu, H. & Wang, W. 2025, ApJ, 982, 187

  70. [70]

    Yan, Z. & Yu, W. 2017, MNRAS, 470, 4298–4306

  71. [71]

    2019, The Astronomer’s Telegram, 12425, 1

    Yatabe, F., Negoro, H., Nakajima, M., et al. 2019, The Astronomer’s Telegram, 12425, 1

  72. [72]

    You, B., Bursa, M., & ˙Zycki, P. T. 2018, ApJ, 858, 82

  73. [73]

    T., Ingram, A., Bursa, M., & Wang, W

    You, B., ˙Zycki, P. T., Ingram, A., Bursa, M., & Wang, W. 2020, ApJ, 897, 27

  74. [74]

    A., et al

    Zhang, L., Altamirano, D., Cúneo, V . A., et al. 2020, MNRAS, 499, 851

  75. [75]

    2021, MNRAS, 505, 3823

    Zhang, L., Altamirano, D., Uttley, P., et al. 2021, MNRAS, 505, 3823

  76. [76]

    2023, MNRAS, 526, 3944

    Zhang, L., Méndez, M., García, F., et al. 2023, MNRAS, 526, 3944

  77. [77]

    2017, ApJ, 845, 143

    Zhang, L., Wang, Y ., Méndez, M., et al. 2017, ApJ, 845, 143

  78. [78]

    2020, Science China Physics, Mechanics & Astronomy, 63, 249502

    Zhang, S.-N., Li, T., Lu, F., et al. 2020, Science China Physics, Mechanics & Astronomy, 63, 249502

  79. [79]

    2022, MNRAS, 512, 2686

    Zhang, Y ., Méndez, M., García, F., et al. 2022, MNRAS, 512, 2686

  80. [80]

    2024, ApJ, 974, 303 Article number, page 9

    Zhu, H., Wang, W., & Zhu, Z. 2024, ApJ, 974, 303 Article number, page 9