Pith. sign in

REVIEW 3 major objections 5 minor 113 references

The peculiar hard state behaviour of the black hole X-ray binary Swift J1727.8$-$1613

T0 review · 3 major / 5 minor · reviewed 2026-08-07 · deepseek-v4-flash

Pith's one-line read Swift J1727.8−1613 appears to be the most radio-quiet black hole X-ray binary known, and for the first time in such a system the onset of X-ray spectral softening coincides with a change in its radio–X-ray path.

desk verdict A genuinely extreme radio-quiet BH LMXB with transparent analysis; the ejecta-subtraction model is the main uncertainty, but the core claims hold up. read the letter →

arxiv 2506.12387 v2 pith:FLL6TTLU submitted 2025-06-14 astro-ph.HE

classification astro-ph.HE
keywords blackholeX-raybinariesradio-X-raycorrelationradio-quietcompactjetshybridtrackaccretionstatesSwiftJ1727.8-1613jetejectasubtraction
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

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

The reading

This paper tracks how the black hole X-ray binary Swift J1727.8−1613 coupled its accretion inflow (X-rays) to its jet outflow (radio) across its 2023–2024 outburst. The authors find that, for most of the plausible distance range (about 1.5 to 4.3 kpc), the source sits lower in radio luminosity at a given X-ray luminosity than any previously catalogued black hole binary, making it the most radio-quiet such system known. They also report a first: the moment when the radio–X-ray correlation switches from a steep to a shallow power-law branch coincides with the onset of X-ray spectral softening, suggesting a physical change in the accretion flow rather than a pure jet effect. The result matters because it sharpens the empirical map of jet–accretion coupling and provides a new, single-outburst diagnostic for why some black hole systems are radio-quiet.

What carries the argument

The central object is the radio–X-ray luminosity plane, in which the source is modelled with a broken power law: a steep branch (β ≈ 1.0–1.4) at high X-ray luminosity and a shallow branch (β ≈ 0.3) at low luminosity, joined at a transition luminosity L_X,tran ≈ (5–7)×$10^{35}$ erg/s (for D = 2.6 kpc). The analysis rests on quasi-simultaneous radio (MeerKAT, VLA, ATCA) and X-ray (Swift-XRT) observations, logarithmic interpolation of X-ray fluxes onto radio epochs, and subtraction of an exponentially decaying jet-ejecta component from the radio core fluxes, a subtraction that removes 25–40% of the measured flux at some epochs.

What would settle it

A direct distance measurement (for example a radio parallax) that places Swift J1727.8−1613 outside 1.5–4.3 kpc, or high-resolution imaging showing that the soft-state core emission is not fading jet ejecta, would overturn the radio-quiet record and the track-switch interpretation.

Watch

Extended reading notes

Core claim

The central claim is that Swift J1727.8−1613, during its 2023–2024 outburst, followed an unusually radio-quiet broken power-law track in the radio–X-ray luminosity plane, and that for the first time in a radio-quiet system the transition from the steep to the shallow branch is temporally aligned with the onset of X-ray spectral softening. Across most of the adopted distance range (D ≈ 1.5–4.3 kpc), its radio luminosities at a given X-ray luminosity are lower than those of any previously identified black hole low-mass X-ray binary; at the upper end of that range it becomes comparable to the extremely radio-quiet MAXI J1348−630, but its peak hard-state X-ray luminosity would then exceed 5×$10^{38}$ erg/s, the highest reported for a hard-state system. The paper argues that the coincidence between X-ray softening and the shallow-track onset favours an accretion-driven origin, possibly tied to a radiative-efficiency transition, over purely jet-based explanations.

Load-bearing premise

The claim rests on the adopted distance range and, more fragilely, on subtracting an exponentially decaying jet-ejecta component from the radio core; if the true ejecta decay is not exponential, the compact-jet fluxes, the radio-quiet ranking, and the transition luminosity all change.

Editorial extensions

If this is right

  • If the source lies at the nearer distances, it becomes the benchmark for extreme radio-quiet behaviour, rejoining the standard track about two orders of magnitude lower in X-ray luminosity than MAXI J1348−630.
  • If the source lies at or beyond 4 kpc, its peak 1–10 keV hard-state luminosity would be the highest recorded for a black hole low-mass X-ray binary, implying a bolometric luminosity near or above the Eddington limit for a ~7 solar-mass black hole.
  • The alignment of X-ray spectral softening with the steep-to-shallow track switch, if confirmed, favours accretion-flow evolution over jet-based mechanisms and predicts that the minimum photon index should mark the track turnover in other radio-quiet systems.
  • The derived black-hole mass bound from the radiative-efficiency transition (M_BH ≲ 20 solar masses for D = 2.6 kpc) gives a testable constraint once distance, black-hole mass, and electron temperature are measured independently.

Reading between the lines

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

  • The coincidence between spectral softening and the track switch could become a practical monitoring tool: in future radio-quiet outbursts, the epoch of minimum X-ray photon index would predict where to look for the steep-to-shallow break.
  • If the exponential subtraction is inaccurate, part of the radio-quiet ranking could be an artifact; a clean test would be VLBI imaging during the decay hard state that resolves the compact core from the fading ejecta and measures the compact jet fluxes directly.
  • The distance-luminosity degeneracy means an independent geometric distance (for instance from radio parallax) would immediately decide between the two extreme readings of the outburst: the most radio-quiet black hole binary versus the most X-ray-luminous hard state.
  • Because only four systems now have both steep and shallow branches observed, the Swift J1727 dataset suggests that single-outburst monitoring with dense quasi-simultaneous radio and X-ray coverage can reveal the same accretion-state physics that multi-outburst analyses previously required.
Share X Bluesky LinkedIn Reddit HN

Editorial analysis

A structured set of objections, weighed in public.

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

Referee Report

3 major / 5 minor

Summary. The paper presents quasi-simultaneous radio and X-ray observations of the black hole X-ray binary Swift J1727.8-1613 during its 2023-2024 outburst, and uses them to construct the radio-X-ray luminosity (L_R-L_X) correlation. The authors fit a broken power-law track with a steep branch at high X-ray luminosity and a shallow branch at low X-ray luminosity, and argue that across most of the plausible distance range (D ~ 1.5-4.3 kpc) the source is the most radio-quiet black hole binary identified to date, with a rejoin luminosity to the standard track far below typical values. They further claim that, for the first time in a radio-quiet system, the onset of X-ray spectral softening is temporally coincident with the change in trajectory through the L_R-L_X plane. The paper discusses jet-based and accretion-based explanations, and derives a model-dependent constraint on the black hole mass from the transitional luminosity.

Significance. If the claims hold, Swift J1727.8-1613 is an extreme outlier in the L_R-L_X plane, providing a strong test for models of jet-accretion coupling in black hole binaries. The paper is valuable for its comprehensive quasi-simultaneous dataset, the wide dynamic range covered (~6.5 decades in X-ray luminosity), and the transparent treatment of the distance ambiguity. The authors ship machine-readable data tables and analysis scripts on GitHub, which strengthens reproducibility. The identification of a temporal coincidence between the steep-to-shallow track switch and the minimum X-ray photon index, if robust, would be an important new constraint on the physical origin of the hybrid track. The discussion of alternative explanations is balanced and appropriately caveated, particularly regarding the possibility of residual ejecta contamination at late epochs.

major comments (3)
  1. [Section 2.1, Appendix B, Eq. (B1)] The exponential ejecta-decay subtraction is the most load-bearing element of the analysis and is insufficiently constrained. The subtracted component is 25-40% of the MeerKAT flux at some decay hard-state epochs, yet the decay model is fitted to only the final five soft-state MeerKAT epochs, and the footnote in Section 2.1 states that a power-law decay gives a statistically indistinguishable fit. Because the broken-power-law fit in Section 3 (Eq. 1) uses these corrected fluxes to define the shallow branch and the transition luminosity L_X,tran, an incorrect decay shape would directly shift L_X,tran, the rejoin luminosity, and the radio-quiet ranking. The 10% systematic added in quadrature is described in Section 2.1 as implicitly covering 'imperfect subtraction', but it does not quantify the systematic error in the decay shape. I request that the authors repeat the broken-power-law fit and the radio-quiet ranking for a power-law decay model and for the envelope of acceptable exponential parameters, and propagate this as a systematic uncertainty on L_X,tran and on the radio-quiet classification.
  2. [Section 3.2, Figure 2a] The claimed temporal coincidence between the minimum X-ray photon index and the steep-to-shallow track switch is not independent of the ejecta-subtraction model. The time range corresponding to L_X,tran is derived from the broken-power-law fit, whose decay-epoch points are the very points corrected in Appendix B; if the correction is biased, the mapped time window shifts. In addition, the 'clear temporal alignment' between the vertical dotted line and the grey band is asserted visually; the paper should quantify the overlap (e.g., the number of days that the 1-sigma L_X,tran band overlaps the epoch of minimum Gamma, and how that overlap changes under the alternate decay models requested above). Without such a quantitative statement, the strength of the claimed first-time coincidence is difficult to assess.
  3. [Section 3.2, Figure 2a] The claimed temporal coincidence between the minimum X-ray photon index and the steep-to-shallow track switch is not independent of the ejecta-subtraction model. The time range corresponding to L_X,tran is derived from the broken-power-law fit, whose decay-epoch points are the very points corrected in Appendix B; if the correction is biased, the mapped time window shifts. In addition, the 'clear temporal alignment' between the vertical dotted line and the grey band is asserted visually; the paper should quantify the overlap (e.g., the number of days that the 1-sigma L_X,tran band overlaps the epoch of minimum Gamma, and how that overlap changes under the alternate decay models requested above). Without such a quantitative statement, the strength of the claimed first-time coincidence is difficult to assess.
minor comments (5)
  1. [Section 4.2.1, Eq. (2)] The derivation of the constraint M_BH ≲ 10^-4 eta^-1 alpha_v^-2 theta_e^-3/2 (D/2.6 kpc)^2 M_sun rests on the model assumption that the efficiency transition occurs on the shallow branch. This should be stated more explicitly; as written, 'the efficiency transition occurs during the shallow branch' is ambiguous and could be read as an observational fact. The sentence introducing Eq. (2) should clarify that the inequality is conditional on the Xie-Yuan radiative-efficiency interpretation, not a direct model-independent limit.
  2. [Section 2.1] The sentence describing the 10% systematic error is grammatically convoluted and should be reworded for clarity, e.g., 'We added a 10% systematic error in quadrature to all radio flux densities; although this is conservative for calibration uncertainties alone, it is intended to cover additional systematics from interpolation errors and imperfect subtraction of the decaying ejecta.'
  3. [Figure 1 caption] The inset description ('red for all data, blue for the decay hard state') does not specify what the lines or shaded region in the inset represent beyond the broken power-law fit. Please state explicitly the meaning of the solid/dashed lines and the grey shaded region in the inset so that the reader can interpret the fit without referring to Section 3.
  4. [Table C1] The column header 'alpha' is used for the radio spectral index used to scale to 5 GHz, but the footnote defines it only as 'radio spectral index'. For clarity, state in the footnote that alpha is the inter-band spectral index obtained from multi-frequency data (or interpolated MeerKAT and ATCA data) and that it was adopted to rescale the observed flux density to 5 GHz.
  5. [Section 3.1] The discussion of the rejoin luminosity as a function of distance would benefit from a small table or figure showing L_X,rejoin and L_X,tran for D = 1.5, 2.6, 3.7, and 4.3 kpc, rather than only the scaling relations. This would make the distance-dependence of the 'most radio-quiet' claim easier to evaluate.

Circularity Check

0 steps flagged · score 0.0 of 10

No significant circularity: the headline claims compare fitted quantities to independently measured data or direct observations.

full rationale

The paper's central claims derive from direct observational measurements. The broken power-law parameters in Equation (1) are fitted to the observed L_R-L_X data, but the main novelty—the coincidence between the onset of X-ray spectral softening and the steep-to-shallow track switch—compares the fitted transition luminosity L_X,tran to the independently measured X-ray photon index Gamma (Figure 2 and Section 3.2), so the comparison is not forced by construction. The radio-quiet ranking is based on measured radio and X-ray luminosities relative to an archival sample, with the distance dependence explicitly propagated rather than tuned. The exponential ejecta-decay subtraction in Appendix B (Equation B1) is a model-dependent correction, not a fitted parameter renamed as a prediction: it is constrained by five soft-state MeerKAT epochs and extrapolated, and the paper itself notes that a power-law decay gives an indistinguishable fit, which is a stated uncertainty rather than a circular step. Citations to Hughes et al. (2025) supply the underlying radio data, not the conclusions. No equation in the paper reduces a claimed prediction to its own input; therefore no circularity is identified.

Assumptions & free parameters 7 free parameters · 7 assumptions · 0 invented entities

The central claims rest on three fitted parameters of the broken power law, an exponential ejecta subtraction fit, and an adopted distance range. No new physical entities are introduced; the theoretical discussion uses published LHAF and jet models.

free parameters (7)
  • beta_shallow (shallow branch slope) = 0.30 ± 0.02 (full), 0.32 ± 0.03 (decay-only)
    Fitted to the low-luminosity branch of the L_R-L_X relation; robust to fitting scenario.
  • beta_steep (steep branch slope) = 1.02 ± 0.01 (full), 1.42 ± 0.15 (decay-only)
    Fitted to the high-luminosity branch; the two estimates differ by about 2.7 sigma, hinting at mild evolution.
  • L_X,tran (break luminosity) = (7.1 ± 0.9) x 10^35 erg/s (full), (5.4 ± 1.1) x 10^35 erg/s (decay-only)
    Fitted break in the broken power law; scales as D^2.
  • ejecta decay timescale tau = 20.5 ± 0.8 days
    Fitted to the final five MeerKAT soft-state epochs (Appendix B); used to subtract ejecta from core fluxes.
  • ejecta decay amplitude A = not quoted in text
    Fitted together with tau in Eq. B1; determines the subtracted flux.
  • ejecta spectral index alpha_ej = -1 (fixed)
    Adopted from ATCA inter-band spectral indices at the end of the soft state; used to scale the subtraction across frequencies.
  • source distance D = 2.6 kpc nominal; 1.5-4.3 kpc range
    Adopted from Burridge et al. (private communication) and Mata Sanchez et al.; all luminosities scale as D^2 and the radio-quiet ranking depends on it.
assumptions (7)
  • domain assumption Hard-state compact jet radio emission follows a broken power-law relation with X-ray luminosity (hybrid track).
    Adopted from Coriat et al. (2011) and Carotenuto et al. (2021b); used as the model in Eq. (1).
  • domain assumption Compact jet emission is quenched by more than 3 orders of magnitude in the soft state, so soft-state core radio emission is dominated by unresolved jet ejecta.
    Standard expectation (Section 1); justifies the exponential decay subtraction in Appendix B.
  • ad hoc to paper The soft-state core flux decays exponentially (Eq. B1).
    A power-law fit was indistinguishable given measurement errors, but the exponential shape is not independently forced; this assumption directly affects the subtracted compact jet fluxes.
  • domain assumption The adopted distance range of 1.5-4.3 kpc is correct.
    Based on a private communication from Burridge et al.; the central most-radio-quiet claim depends on this range, though the authors argue the source remains extreme outside it.
  • domain assumption The X-ray spectral model tbabs*(pegpwrlw+diskbb) with fixed N_H=2.68e21 cm^-2 describes the observed spectra.
    Standard model for hard-state BH LMXBs (Section 2.2); affects the measured X-ray luminosities and photon indices.
  • domain assumption The black hole mass is about 7 solar masses for Eddington-luminosity estimates.
    Mass dynamically confirmed to exceed 3 solar masses; 7 solar masses is a typical assumed value (Section 3.1).
  • domain assumption The bolometric correction tau_bol = 2-5 converts 1-10 keV luminosity to total accretion luminosity.
    Taken from Migliari and Fender (2006) and Anastasopoulou et al. (2022); used in Eddington fraction estimates.

how reviews work

0 comments
Cite this review

Pith. "Pith review of The peculiar hard state behaviour of the black hole X-ray binary Swift J1727.8$-$1613." pith.science (2026). https://pith.science/paper/FLL6TTLU

@misc{pith2026250612387,
  author       = {Pith},
  title        = {Pith review of: The peculiar hard state behaviour of the black hole X-ray binary Swift J1727.8$-$1613},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/FLL6TTLU}},
  note         = {Machine review of arXiv:2506.12387}
}
abstract

Tracking the correlation between radio and X-ray luminosities during black hole X-ray binary outbursts is a key diagnostic of the coupling between accretion inflows (traced by X-rays) and relativistic jet outflows (traced by radio). We present the radio--X-ray correlation of the black hole low-mass X-ray binary Swift~J1727.8$-$1613 during its 2023--2024 outburst. Our observations span a broad dynamic range, covering $\sim$4 orders of magnitude in radio luminosity and $\sim$6.5 in X-ray luminosity. This source follows an unusually radio-quiet track, exhibiting significantly lower radio luminosities at a given X-ray luminosity than both the standard (radio-loud) track and most previously known radio-quiet systems. Across most of the considered distance range ($D {\sim} 1.5-4.3$ kpc), Swift~J1727.8$-$1613 appears to be the most radio-quiet black hole binary identified to date. For distances ${\geq} 4$ kpc, while Swift~J1727.8$-$1613 becomes comparable to one other extremely radio-quiet system, its peak X-ray luminosity (${\gtrsim} 5{\times}10^{38}$ erg/s) exceeds that of any previously reported hard-state black hole low-mass X-ray binary, emphasising the extremity of this outburst. Additionally, for the first time in a radio-quiet system, we identify the onset of X-ray spectral softening to coincide with a change in trajectory through the radio--X-ray plane. We assess several proposed explanations for radio-quiet behaviour in black hole systems in light of this dataset. As with other such sources, however, no single mechanism fully accounts for the observed properties, highlighting the importance of regular monitoring and the value of comprehensive (quasi-)simultaneous datasets.

Figures

Figures reproduced from arXiv: 2506.12387 by the authors.

Figure 1
Figure 1. The 𝐿𝑅–𝐿𝑋 evolution of Swift J1727 (triangles) is shown alongside archival BH LMXBs (grey circles; Bahramian & Rushton 2022), with H1743−322 (purple squares) and MAXI J1348−630 (green diamonds) highlighted for comparison. The inset shows a broken power-law fit (𝐷=2.6 kpc): red for all data, blue for the decay hard state. The grey shaded region marks the (approximate) 1𝜎 range of the transitional luminosity (𝐿𝑋 tran)… view at source ↗
Figure 2
Figure 2. Spectral and photometric evolution of Swift J1727 during the decaying hard state. Panels show: (a) the 1–10 keV X-ray flux; (b) the X￾ray photon index Γ (the red star indicates the variance-weighted average of the final three measurements, which had high uncertainties); (c) the radio flux density (marker colour indicates observing frequency; shape indicates facility); and (d) the radio spectral index 𝛼 (grey stars d… view at source ↗

Discussion (0). Sign in to comment.

Reference graph

Works this paper leans on

113 extracted references · 10 canonical work pages

  1. [1]

    Alabarta K., et al., 2021, @doi [ ] 10.1093/mnras/stab2241 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.507.5507A 507, 5507

  2. [2]

    F., Reig P., 2022, @doi [ ] 10.1093/mnras/stac940 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.513.1400A 513, 1400

    Anastasopoulou K., Zezas A., Steiner J. F., Reig P., 2022, @doi [ ] 10.1093/mnras/stac940 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.513.1400A 513, 1400

  3. [3]

    M., Wijnands R., 2013, @doi [ ] 10.1093/mnras/sts255 , https://ui.adsabs.harvard.edu/abs/2013MNRAS.428.3083A 428, 3083

    Armas Padilla M., Degenaar N., Russell D. M., Wijnands R., 2013, @doi [ ] 10.1093/mnras/sts255 , https://ui.adsabs.harvard.edu/abs/2013MNRAS.428.3083A 428, 3083

  4. [4]

    A., 1996, in Jacoby G

    Arnaud K. A., 1996, in Jacoby G. H., Barnes J., eds, Astronomical Society of the Pacific Conference Series Vol. 101, Astronomical Data Analysis Software and Systems V. p. 17

  5. [5]

    Bahramian A., Rushton A., 2022, bersavosh/XRB-LrLx\_pub: update 20220908, @doi 10.5281/zenodo.7059313 , https://doi.org/10.5281/zenodo.7059313

  6. [6]

    M., Motta S

    Belloni T. M., Motta S. E., 2016, in Bambi C., ed., Astrophysics and Space Science Library Vol. 440, Astrophysics of Black Holes: From Fundamental Aspects to Latest Developments. p. 61 ( @eprint arXiv 1603.07872 ), @doi 10.1007/978-3-662-52859-4_2

  7. [7]

    Beri A., et al., 2019, @doi [ ] 10.1093/mnras/stz616 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.485.3064B 485, 3064

  8. [8]

    Bollemeijer N., et al., 2023a, The Astronomer's Telegram, https://ui.adsabs.harvard.edu/abs/2023ATel16247....1B 16247, 1

Show all 113 references
  1. [9]

    Bollemeijer N., et al., 2023b, The Astronomer's Telegram, https://ui.adsabs.harvard.edu/abs/2023ATel16273....1B 16273, 1

  2. [10]

    S., et al., 2020, @doi [Nature Astron.] 10.1038/s41550-020-1023-5 , 4, 697

    Bright J. S., et al., 2020, @doi [Nature Astron.] 10.1038/s41550-020-1023-5 , 4, 697

  3. [12]

    Brocksopp C., et al., 2002, @doi [ ] 10.1046/j.1365-8711.2002.05230.x , https://ui.adsabs.harvard.edu/abs/2002MNRAS.331..765B 331, 765

  4. [13]

    J., et al., 2025, arXiv e-prints, https://ui.adsabs.harvard.edu/abs/2025arXiv250206448B p

    Burridge B. J., et al., 2025, arXiv e-prints, https://ui.adsabs.harvard.edu/abs/2025arXiv250206448B p. arXiv:2502.06448

  5. [14]

    N., et al., 2005, @doi [ ] 10.1007/s11214-005-5097-2 , https://ui.adsabs.harvard.edu/abs/2005SSRv..120..165B 120, 165

    Burrows D. N., et al., 2005, @doi [ ] 10.1007/s11214-005-5097-2 , https://ui.adsabs.harvard.edu/abs/2005SSRv..120..165B 120, 165

  6. [15]

    Cao X.-F., Wu Q., Dong A.-J., 2014, @doi [ ] 10.1088/0004-637X/788/1/52 , https://ui.adsabs.harvard.edu/abs/2014ApJ...788...52C 788, 52

  7. [16]

    Carotenuto F., et al., 2021a, @doi [ ] 10.1093/mnras/stab864 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.504..444C 504, 444

  8. [17]

    Carotenuto F., et al., 2021b, @doi [Monthly Notices of the Royal Astronomical Society: Letters] 10.1093/mnrasl/slab049 , 505, L58

  9. [18]

    Carotenuto F., Corbel S., Tzioumis A., 2022, @doi [ ] 10.1093/mnrasl/slac087 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.517L..21C 517, L21

  10. [19]

    Casella P., Pe'er A., 2009, @doi [ ] 10.1088/0004-637X/703/1/L63 , https://ui.adsabs.harvard.edu/abs/2009ApJ...703L..63C 703, L63

  11. [20]

    Cash W., 1979, @doi [ ] 10.1086/156922 , https://ui.adsabs.harvard.edu/abs/1979ApJ...228..939C 228, 939

  12. [21]

    Chauhan J., et al., 2019, @doi [ ] 10.1093/mnrasl/slz113 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.488L.129C 488, L129

  13. [22]

    A., Fender R

    Corbel S., Nowak M. A., Fender R. P., Tzioumis A. K., Markoff S., 2003, @doi [ ] 10.1051/0004-6361:20030090 , https://ui.adsabs.harvard.edu/abs/2003A&A...400.1007C 400, 1007

  14. [23]

    A., Kaaret P., 2006, @doi [ ] 10.1086/498230 , https://ui.adsabs.harvard.edu/abs/2006ApJ...636..971C 636, 971

    Corbel S., Tomsick J. A., Kaaret P., 2006, @doi [ ] 10.1086/498230 , https://ui.adsabs.harvard.edu/abs/2006ApJ...636..971C 636, 971

  15. [24]

    K., Fender R

    Corbel S., Coriat M., Brocksopp C., Tzioumis A. K., Fender R. P., Tomsick J. A., Buxton M. M., Bailyn C. D., 2013a, @doi [ ] 10.1093/mnras/sts215 , https://ui.adsabs.harvard.edu/abs/2013MNRAS.428.2500C 428, 2500

  16. [25]

    Corbel S., et al., 2013b, @doi [ ] 10.1093/mnrasl/slt018 , https://ui.adsabs.harvard.edu/abs/2013MNRAS.431L.107C 431, L107

  17. [27]

    M., Casares J., Mu \ n oz-Darias T., Bauer F

    Corral-Santana J. M., Casares J., Mu \ n oz-Darias T., Bauer F. E., Mart \' nez-Pais I. G., Russell D. M., 2016, @doi [ ] 10.1051/0004-6361/201527130 , https://ui.adsabs.harvard.edu/abs/2016A&A...587A..61C 587, A61

  18. [28]

    E., Belloni T

    De Marco B., Motta S. E., Belloni T. M., 2022, in Bambi C., Sangangelo A., eds, , Handbook of X-ray and Gamma-ray Astrophysics. p. 58, @doi 10.1007/978-981-16-4544-0_129-1

  19. [29]

    Done C., Gierli \'n ski M., Kubota A., 2007, @doi [ ] 10.1007/s00159-007-0006-1 , https://ui.adsabs.harvard.edu/abs/2007A&ARv..15....1D 15, 1

  20. [30]

    Dong A.-J., Wu Q., Cao X.-F., 2014, @doi [ ] 10.1088/2041-8205/787/2/L20 , https://ui.adsabs.harvard.edu/abs/2014ApJ...787L..20D 787, L20

  21. [31]

    A., et al., 2023, The Astronomer's Telegram, https://ui.adsabs.harvard.edu/abs/2023ATel16219....1D 16219, 1

    Draghis P. A., et al., 2023, The Astronomer's Telegram, https://ui.adsabs.harvard.edu/abs/2023ATel16219....1D 16219, 1

  22. [32]

    Dunn R. J. H., Fender R. P., K \"o rding E. G., Belloni T., Cabanac C., 2010, @doi [ ] 10.1111/j.1365-2966.2010.16114.x , https://ui.adsabs.harvard.edu/abs/2010MNRAS.403...61D 403, 61

  23. [33]

    Espinasse M., Fender R., 2018, @doi [ ] 10.1093/mnras/stx2467 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.473.4122E 473, 4122

  24. [34]

    A., et al., 2007, @doi [ ] 10.1051/0004-6361:20077530 , https://ui.adsabs.harvard.edu/abs/2007A&A...469..379E 469, 379

    Evans P. A., et al., 2007, @doi [ ] 10.1051/0004-6361:20077530 , https://ui.adsabs.harvard.edu/abs/2007A&A...469..379E 469, 379

  25. [36]

    39, Compact stellar X-ray sources

    Fender R., 2006, in , Vol. 39, Compact stellar X-ray sources. pp 381--419, @doi 10.48550/arXiv.astro-ph/0303339

  26. [37]

    P., Garrington S

    Fender R. P., Garrington S. T., McKay D. J., Muxlow T. W. B., Pooley G. G., Spencer R. E., Stirling A. M., Waltman E. B., 1999a, @doi [ ] 10.1046/j.1365-8711.1999.02364.x , https://ui.adsabs.harvard.edu/abs/1999MNRAS.304..865F 304, 865

  27. [38]

    Fender R., et al., 1999b, @doi [ ] 10.1086/312128 , https://ui.adsabs.harvard.edu/abs/1999ApJ...519L.165F 519, L165

  28. [40]

    P., Pooley G

    Gallo E., Fender R. P., Pooley G. G., 2003, @doi [ ] 10.1046/j.1365-8711.2003.06791.x , https://ui.adsabs.harvard.edu/abs/2003MNRAS.344...60G 344, 60

  29. [41]

    P., Maccarone T

    Gallo E., Corbel S., Fender R. P., Maccarone T. J., Tzioumis A. K., 2004, @doi [ ] 10.1111/j.1365-2966.2004.07435.x , https://ui.adsabs.harvard.edu/abs/2004MNRAS.347L..52G 347, L52

  30. [42]

    Gallo E., et al., 2014, @doi [ ] 10.1093/mnras/stu1599 , https://ui.adsabs.harvard.edu/abs/2014MNRAS.445..290G 445, 290

  31. [43]

    Gallo E., Degenaar N., van den Eijnden J., 2018, @doi [ ] 10.1093/mnrasl/sly083 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.478L.132G 478, L132

  32. [44]

    C., Hunstead R

    Hannikainen D. C., Hunstead R. W., Campbell-Wilson D., Sood R. K., 1998, @doi [ ] 10.48550/arXiv.astro-ph/9805332 , https://ui.adsabs.harvard.edu/abs/1998A&A...337..460H 337, 460

  33. [45]

    Heywood I., et al., 2016, @doi [ ] 10.1093/mnras/stw1250 , https://ui.adsabs.harvard.edu/abs/2016MNRAS.460.4433H 460, 4433

  34. [46]

    K., et al., 2025, @doi [ ] 10.3847/1538-4357/ade2e6 , https://ui.adsabs.harvard.edu/abs/2025ApJ...988..109H 988, 109

    Hughes A. K., et al., 2025, @doi [ ] 10.3847/1538-4357/ade2e6 , https://ui.adsabs.harvard.edu/abs/2025ApJ...988..109H 988, 109

  35. [47]

    arXiv:2311.05497

    Ingram A., et al., 2023, @doi [arXiv e-prints] 10.48550/arXiv.2311.05497 , https://ui.adsabs.harvard.edu/abs/2023arXiv231105497I p. arXiv:2311.05497

  36. [48]

    A., 2018, @doi [ ] 10.1093/mnras/sty2597 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.481.4513I 481, 4513

    Islam N., Zdziarski A. A., 2018, @doi [ ] 10.1093/mnras/sty2597 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.481.4513I 481, 4513

  37. [49]

    G., et al., 2010, @doi [ ] 10.1111/j.1365-2966.2009.15717.x , https://ui.adsabs.harvard.edu/abs/2010MNRAS.401.1255J 401, 1255

    Jonker P. G., et al., 2010, @doi [ ] 10.1111/j.1365-2966.2009.15717.x , https://ui.adsabs.harvard.edu/abs/2010MNRAS.401.1255J 401, 1255

  38. [50]

    A., Buxton M

    Kalemci E., Tomsick J. A., Buxton M. M., Rothschild R. E., Pottschmidt K., Corbel S., Brocksopp C., Kaaret P., 2005, @doi [ ] 10.1086/427818 , https://ui.adsabs.harvard.edu/abs/2005ApJ...622..508K 622, 508

  39. [51]

    A., 2022, in Bambi C., Sangangelo A., eds, , Handbook of X-ray and Gamma-ray Astrophysics

    Kalemci E., Kara E., Tomsick J. A., 2022, in Bambi C., Sangangelo A., eds, , Handbook of X-ray and Gamma-ray Astrophysics. p. 9, @doi 10.1007/978-981-16-4544-0_100-1

  40. [52]

    A., Swift Team 2023, GRB Coordinates Network, https://ui.adsabs.harvard.edu/abs/2023GCN.34540....1K 34540, 1

    Kennea J. A., Swift Team 2023, GRB Coordinates Network, https://ui.adsabs.harvard.edu/abs/2023GCN.34540....1K 34540, 1

  41. [53]

    Koljonen K. I. I., Russell D. M., 2019, @doi [ ] 10.3847/1538-4357/aaf38f , https://ui.adsabs.harvard.edu/abs/2019ApJ...871...26K 871, 26

  42. [54]

    Kong A. K. H., McClintock J. E., Garcia M. R., Murray S. S., Barret D., 2002, @doi [ ] 10.1086/339501 , https://ui.adsabs.harvard.edu/abs/2002ApJ...570..277K 570, 277

  43. [55]

    arXiv:2406.03834

    Liu H.-X., et al., 2024, @doi [arXiv e-prints] 10.48550/arXiv.2406.03834 , https://ui.adsabs.harvard.edu/abs/2024arXiv240603834L p. arXiv:2406.03834

  44. [56]

    Livio M., 2002, @doi [ ] 10.1038/417125a , https://ui.adsabs.harvard.edu/abs/2002Natur.417..125L 417, 125

  45. [57]

    J., 2003, @doi [ ] 10.1051/0004-6361:20031146 , https://ui.adsabs.harvard.edu/abs/2003A&A...409..697M 409, 697

    Maccarone T. J., 2003, @doi [ ] 10.1051/0004-6361:20031146 , https://ui.adsabs.harvard.edu/abs/2003A&A...409..697M 409, 697

  46. [58]

    J., Osler A., Miller-Jones J

    Maccarone T. J., Osler A., Miller-Jones J. C. A., Atri P., Russell D. M., Meier D. L., McHardy I. M., Longa-Pe \ n a P. A., 2020, @doi [ ] 10.1093/mnrasl/slaa120 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.498L..40M 498, L40

  47. [60]

    Mata S \'a nchez D., Mu \ n oz-Darias T., Armas Padilla M., Casares J., Torres M. A. P., 2024, @doi [ ] 10.1051/0004-6361/202348754 , https://ui.adsabs.harvard.edu/abs/2024A&A...682L...1M 682, L1

  48. [61]

    Mata S \'a nchez D., Torres M. A. P., Casares J., Mu \ n oz-Darias T., Armas Padilla M., Yanes-Rizo I. V., 2025, @doi [ ] 10.1051/0004-6361/202451960 , https://ui.adsabs.harvard.edu/abs/2025A&A...693A.129M 693, A129

  49. [62]

    Matsuoka M., et al., 2009, @doi [ ] 10.1093/pasj/61.5.999 , https://ui.adsabs.harvard.edu/abs/2009PASJ...61..999M 61, 999

  50. [63]

    E., Remillard R

    McClintock J. E., Remillard R. A., 2006, Black hole binaries . Cambridge University Press, pp 157--213

  51. [65]

    Merloni A., Heinz S., di Matteo T., 2003, @doi [ ] 10.1046/j.1365-2966.2003.07017.x , https://ui.adsabs.harvard.edu/abs/2003MNRAS.345.1057M 345, 1057

  52. [66]

    Meyer-Hofmeister E., Meyer F., 2014, @doi [ ] 10.1051/0004-6361/201322423 , https://ui.adsabs.harvard.edu/abs/2014A&A...562A.142M 562, A142

  53. [67]

    P., 2006, @doi [ ] 10.1111/j.1365-2966.2005.09777.x , https://ui.adsabs.harvard.edu/abs/2006MNRAS.366...79M 366, 79

    Migliari S., Fender R. P., 2006, @doi [ ] 10.1111/j.1365-2966.2005.09777.x , https://ui.adsabs.harvard.edu/abs/2006MNRAS.366...79M 366, 79

  54. [68]

    Mihara T., et al., 2011, @doi [ ] 10.1093/pasj/63.sp3.S623 , https://ui.adsabs.harvard.edu/abs/2011PASJ...63S.623M 63, S623

  55. [69]

    Miller-Jones J. C. A., Sivakoff G. R., Bahramian A., Russell T. D., 2023a, The Astronomer's Telegram, https://ui.adsabs.harvard.edu/abs/2023ATel16211....1M 16211, 1

  56. [70]

    Miller-Jones J. C. A., Bahramian A., Altamirano D., Homan J., Russell T. D., Sivakoff G. R., 2023b, The Astronomer's Telegram, https://ui.adsabs.harvard.edu/abs/2023ATel16271....1M 16271, 1

  57. [71]

    F., Rodr \' guez L

    Mirabel I. F., Rodr \' guez L. F., 1994, @doi [ ] 10.1038/371046a0 , https://ui.adsabs.harvard.edu/abs/1994Natur.371...46M 371, 46

  58. [72]

    M., Motta S

    Monageng I. M., Motta S. E., Fender R., Yu W., Woudt P. A., Tremou E., Miller-Jones J. C. A., van der Horst A. J., 2021, @doi [ ] 10.1093/mnras/stab043 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.501.5776M 501, 5776

  59. [73]

    E., Casella P., Fender R

    Motta S. E., Casella P., Fender R. P., 2018, @doi [ ] 10.1093/mnras/sty1440 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.478.5159M 478, 5159

  60. [74]

    Narayan R., Yi I., 1994, @doi [ ] 10.1086/187381 , https://ui.adsabs.harvard.edu/abs/1994ApJ...428L..13N 428, L13

  61. [75]

    A., Bj \"o rnsson G., Pringle J

    Narayan R., Mahadevan R., Quataert E., 1998, in Abramowicz M. A., Bj \"o rnsson G., Pringle J. E., eds, Theory of Black Hole Accretion Disks. pp 148--182 ( @eprint arXiv astro-ph/9803141 ), @doi 10.48550/arXiv.astro-ph/9803141

  62. [76]

    O'Connor B., Hare J., Younes G., Gendreau K., Arzoumanian Z., Ferrara E., 2023, The Astronomer's Telegram, https://ui.adsabs.harvard.edu/abs/2023ATel16207....1O 16207, 1

  63. [77]

    L., Dichiara S., Gropp J

    Page K. L., Dichiara S., Gropp J. D., Krimm H. A., Parsotan T. M., Williams M. A., Neil Gehrels Swift Observatory Team 2023, GRB Coordinates Network, https://ui.adsabs.harvard.edu/abs/2023GCN.34537....1P 34537, 1

  64. [78]

    Panessa F., et al., 2015, @doi [ ] 10.1093/mnras/stu2455 , https://ui.adsabs.harvard.edu/abs/2015MNRAS.447.1289P 447, 1289

  65. [79]

    Pe'er A., Casella P., 2009, @doi [ ] 10.1088/0004-637X/699/2/1919 , https://ui.adsabs.harvard.edu/abs/2009ApJ...699.1919P 699, 1919

  66. [80]

    Peng J.-Q., et al., 2024, @doi [ ] 10.3847/2041-8213/ad17ca , https://ui.adsabs.harvard.edu/abs/2024ApJ...960L..17P 960, L17

  67. [81]

    M., Gallo E., Jonker P

    Plotkin R. M., Gallo E., Jonker P. G., 2013, @doi [ ] 10.1088/0004-637X/773/1/59 , https://ui.adsabs.harvard.edu/abs/2013ApJ...773...59P 773, 59

  68. [82]

    M., et al., 2017a, @doi [ ] 10.3847/1538-4357/834/2/104 , https://ui.adsabs.harvard.edu/abs/2017ApJ...834..104P 834, 104

    Plotkin R. M., et al., 2017a, @doi [ ] 10.3847/1538-4357/834/2/104 , https://ui.adsabs.harvard.edu/abs/2017ApJ...834..104P 834, 104

  69. [83]

    M., et al., 2017b, @doi [ ] 10.3847/1538-4357/aa8d6d , https://ui.adsabs.harvard.edu/abs/2017ApJ...848...92P 848, 92

    Plotkin R. M., et al., 2017b, @doi [ ] 10.3847/1538-4357/aa8d6d , https://ui.adsabs.harvard.edu/abs/2017ApJ...848...92P 848, 92

  70. [84]

    M., Miller-Jones J

    Plotkin R. M., Miller-Jones J. C. A., Chomiuk L., Strader J., Bruzewski S., Bundas A., Smith K. R., Ruan J. J., 2019, @doi [ ] 10.3847/1538-4357/ab01cc , https://ui.adsabs.harvard.edu/abs/2019ApJ...874...13P 874, 13

  71. [85]

    Podgorny J., Svoboda J., Dovciak M., 2024, The Astronomer's Telegram, https://ui.adsabs.harvard.edu/abs/2024ATel16541....1P 16541, 1

  72. [86]

    T., Reis R

    Reynolds M. T., Reis R. C., Miller J. M., Cackett E. M., Degenaar N., 2014, @doi [ ] 10.1093/mnras/stu832 , https://ui.adsabs.harvard.edu/abs/2014MNRAS.441.3656R 441, 3656

  73. [87]

    Rushton A., Spencer R., Fender R., Pooley G., 2010, @doi [ ] 10.1051/0004-6361/201014929 , https://ui.adsabs.harvard.edu/abs/2010A&A...524A..29R 524, A29

  74. [88]

    M., Miller-Jones J

    Russell D. M., Miller-Jones J. C. A., Maccarone T. J., Yang Y. J., Fender R. P., Lewis F., 2011, @doi [ ] 10.1088/2041-8205/739/1/L19 , https://ui.adsabs.harvard.edu/abs/2011ApJ...739L..19R 739, L19

  75. [89]

    D., et al., 2015, @doi [ ] 10.1093/mnras/stv723 , https://ui.adsabs.harvard.edu/abs/2015MNRAS.450.1745R 450, 1745

    Russell T. D., et al., 2015, @doi [ ] 10.1093/mnras/stv723 , https://ui.adsabs.harvard.edu/abs/2015MNRAS.450.1745R 450, 1745

  76. [91]

    D., et al., 2019b, @doi [ ] 10.3847/1538-4357/ab3d36 , https://ui.adsabs.harvard.edu/abs/2019ApJ...883..198R 883, 198

    Russell T. D., et al., 2019b, @doi [ ] 10.3847/1538-4357/ab3d36 , https://ui.adsabs.harvard.edu/abs/2019ApJ...883..198R 883, 198

  77. [92]

    D., et al., 2020, @doi [ ] 10.1093/mnras/staa2650 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.498.5772R 498, 5772

    Russell T. D., et al., 2020, @doi [ ] 10.1093/mnras/staa2650 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.498.5772R 498, 5772

  78. [93]

    D., Carotenuto F., Miller-Jones J

    Russell T. D., Carotenuto F., Miller-Jones J. C. A., Atri P., Grollimund N., Corbel S., et al. 2024, The Astronomer's Telegram, https://ui.adsabs.harvard.edu/abs/2024ATel16552....1R 16552, 1

  79. [94]

    L., Lightman A

    Shapiro S. L., Lightman A. P., Eardley D. M., 1976, @doi [ ] 10.1086/154162 , https://ui.adsabs.harvard.edu/abs/1976ApJ...204..187S 204, 187

  80. [95]

    W., et al., 2021, @doi [ ] 10.3847/1538-4357/abd1de , https://ui.adsabs.harvard.edu/abs/2021ApJ...907...34S 907, 34

    Shaw A. W., et al., 2021, @doi [ ] 10.3847/1538-4357/abd1de , https://ui.adsabs.harvard.edu/abs/2021ApJ...907...34S 907, 34

  81. [96]

    C., Chael A., 2017, @doi [ ] 10.1093/mnras/stw3116 , https://ui.adsabs.harvard.edu/abs/2017MNRAS.466..705S 466, 705

    S a dowski A., Wielgus M., Narayan R., Abarca D., McKinney J. C., Chael A., 2017, @doi [ ] 10.1093/mnras/stw3116 , https://ui.adsabs.harvard.edu/abs/2017MNRAS.466..705S 466, 705

  82. [97]

    A., Papadakis I

    Sobolewska M. A., Papadakis I. E., Done C., Malzac J., 2011, @doi [ ] 10.1111/j.1365-2966.2011.19209.x , https://ui.adsabs.harvard.edu/abs/2011MNRAS.417..280S 417, 280

  83. [98]

    Stiele H., Kong A. K. H., 2024, @doi [ ] 10.1051/0004-6361/202450657 , https://ui.adsabs.harvard.edu/abs/2024A&A...691A.268S 691, A268

  84. [99]

    arXiv:2403.04689

    Svoboda J., et al., 2024, @doi [arXiv e-prints] 10.48550/arXiv.2403.04689 , https://ui.adsabs.harvard.edu/abs/2024arXiv240304689S p. arXiv:2403.04689

  85. [100]

    M., Levinson R., Schreier E., Giacconi R., 1972, @doi [ ] 10.1086/180968 , https://ui.adsabs.harvard.edu/abs/1972ApJ...174L.143T 174, L143

    Tananbaum H., Gursky H., Kellogg E. M., Levinson R., Schreier E., Giacconi R., 1972, @doi [ ] 10.1086/180968 , https://ui.adsabs.harvard.edu/abs/1972ApJ...174L.143T 174, L143

  86. [101]

    E., Sivakoff G

    Tetarenko B. E., Sivakoff G. R., Heinke C. O., Gladstone J. C., 2016, @doi [ ] 10.3847/0067-0049/222/2/15 , https://ui.adsabs.harvard.edu/abs/2016ApJS..222...15T 222, 15

  87. [102]

    E., Lasota J

    Tetarenko B. E., Lasota J. P., Heinke C. O., Dubus G., Sivakoff G. R., 2018, @doi [ ] 10.1038/nature25159 , https://ui.adsabs.harvard.edu/abs/2018Natur.554...69T 554, 69

  88. [103]

    S., Price R

    Thorne K. S., Price R. H., 1975, @doi [ ] 10.1086/181720 , https://ui.adsabs.harvard.edu/abs/1975ApJ...195L.101T 195, L101

  89. [104]

    A., Corbel S., Kaaret P., 2001, @doi [ ] 10.1086/323689 , https://ui.adsabs.harvard.edu/abs/2001ApJ...563..229T 563, 229

    Tomsick J. A., Corbel S., Kaaret P., 2001, @doi [ ] 10.1086/323689 , https://ui.adsabs.harvard.edu/abs/2001ApJ...563..229T 563, 229

  90. [105]

    A., Kalemci E., Kaaret P., 2004, @doi [ ] 10.1086/380484 , https://ui.adsabs.harvard.edu/abs/2004ApJ...601..439T 601, 439

    Tomsick J. A., Kalemci E., Kaaret P., 2004, @doi [ ] 10.1086/380484 , https://ui.adsabs.harvard.edu/abs/2004ApJ...601..439T 601, 439

  91. [106]

    A., Yamaoka K., Corbel S., Kalemci E., Migliari S., Kaaret P., 2014, @doi [ ] 10.1088/0004-637X/791/1/70 , https://ui.adsabs.harvard.edu/abs/2014ApJ...791...70T 791, 70

    Tomsick J. A., Yamaoka K., Corbel S., Kalemci E., Migliari S., Kaaret P., 2014, @doi [ ] 10.1088/0004-637X/791/1/70 , https://ui.adsabs.harvard.edu/abs/2014ApJ...791...70T 791, 70

  92. [107]

    J., 2019, @doi [ ] 10.1093/mnras/stz569 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.485.2744V 485, 2744

    Vahdat Motlagh A., Kalemci E., Maccarone T. J., 2019, @doi [ ] 10.1093/mnras/stz569 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.485.2744V 485, 2744

  93. [108]

    Williams D. R. A., et al., 2020, @doi [ ] 10.1093/mnrasl/slz152 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.491L..29W 491, L29

  94. [109]

    Wilms J., Allen A., McCray R., 2000, @doi [ ] 10.1086/317016 , https://ui.adsabs.harvard.edu/abs/2000ApJ...542..914W 542, 914

  95. [110]

    M., et al., 2021, @doi [ ] 10.1093/mnras/stab1479 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.505.3393W 505, 3393

    Wood C. M., et al., 2021, @doi [ ] 10.1093/mnras/stab1479 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.505.3393W 505, 3393

  96. [111]

    M., et al., 2024, @doi [arXiv e-prints] 10.48550/arXiv.2405.12370 , https://ui.adsabs.harvard.edu/abs/2024arXiv240512370W p

    Wood C. M., et al., 2024, @doi [arXiv e-prints] 10.48550/arXiv.2405.12370 , https://ui.adsabs.harvard.edu/abs/2024arXiv240512370W p. arXiv:2405.12370

  97. [112]

    M., et al., 2025, @doi [arXiv e-prints] 10.48550/arXiv.2503.03073 , https://ui.adsabs.harvard.edu/abs/2025arXiv250303073W p

    Wood C. M., et al., 2025, @doi [arXiv e-prints] 10.48550/arXiv.2503.03073 , https://ui.adsabs.harvard.edu/abs/2025arXiv250303073W p. arXiv:2503.03073

  98. [113]

    Xie F.-G., Yuan F., 2012, @doi [ ] 10.1111/j.1365-2966.2012.22030.x , https://ui.adsabs.harvard.edu/abs/2012MNRAS.427.1580X 427, 1580

  99. [114]

    Xie F.-G., Yuan F., 2016, @doi [ ] 10.1093/mnras/stv2956 , https://ui.adsabs.harvard.edu/abs/2016MNRAS.456.4377X 456, 4377

  100. [115]

    Yan Z., Xie F.-G., Zhang W., 2020, @doi [ ] 10.3847/2041-8213/ab665e , https://ui.adsabs.harvard.edu/abs/2020ApJ...889L..18Y 889, L18

  101. [116]

    Yu W., 2023, The Astronomer's Telegram, https://ui.adsabs.harvard.edu/abs/2023ATel16276....1Y 16276, 1

  102. [117]

    Yuan F., 2001, @doi [ ] 10.1046/j.1365-8711.2001.04258.x , https://ui.adsabs.harvard.edu/abs/2001MNRAS.324..119Y 324, 119

  103. [118]

    Yuan F., Cui W., 2005, @doi [ ] 10.1086/431453 , https://ui.adsabs.harvard.edu/abs/2005ApJ...629..408Y 629, 408

  104. [119]

    Zhang X., et al., 2025, @doi [ ] 10.1093/mnrasl/slaf008 , https://ui.adsabs.harvard.edu/abs/2025MNRAS.538L..43Z 538, L43

  105. [120]

    write newline

    " write newline "" before.all 'output.state := FUNCTION fin.entry write newline FUNCTION new.block output.state before.all = 'skip after.block 'output.state := if FUNCTION new.sentence output.state after.block = 'skip output.state before.all = 'skip after.sentence 'output.stat...

Pith tools

Reviewed August 7, 2026 · model on record in the stance chip above.