REVIEW 3 major objections 5 minor 74 references
Radio emission from tidal disruption events produced by the collision between super-Eddington outflows and the circumnuclear medium
T0 review · 3 major / 5 minor · reviewed 2026-08-06 · deepseek-v4-flash
Pith's one-line read Prompt radio flares from tidal disruption events can be produced when the event's quasi-spherical super-Eddington outflow slams into surrounding circumnuclear gas, with no jet required.
desk verdict First simulations of TDE outflow-CNM collisions show the mechanism can produce the right prompt-radio energies and peak-frequency decays, but the smooth-shell CNM setup and fitted microphysics mean it is still a proof-of-mechanism, not a predictive model. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The central mechanism is the forward shock at the interface between the injected super-Eddington outflow and an initially static, spherically symmetric circumnuclear shell. Shocked gas is identified by a >30% entropy rise over its background value, and only that gas is treated as a synchrotron emitter. The paper's new physical identification is that the spectral peak is the self-absorption frequency, $\nu_{\rm peak}\simeq\nu_{\rm a}$, with $\nu_{\rm a}\propto \rho^{2/(p+4)} B^{(p+2)/(p+4)} R^{2/(p+4)}$; combined with the radial expansion $R\propto t^{\delta}$ this yields the peak-frequency decay $\nu_{\rm peak}\propto t^{q\delta}$, reproducing the simulated $t^{-0.78}$ and connecting to Sedov–Taylor and snow-plow expansion phases.
What would settle it
A very long baseline interferometry image of a prompt radio TDE that resolves the emitting region as a narrow, one-sided jet feature rather than a flattened shell with mirror symmetry about the stellar orbital plane would contradict the model; alternatively, a TDE with an independently measured CNM density whose radio peak frequency does not decay as a power law with time would break the $\nu_{\rm peak}\simeq\nu_{\rm a}$ scaling.
Extended reading notes
Core claim
The paper claims that the prompt synchrotron radio flare of a tidal disruption event can be powered by the collision between the quasi-spherical, super-Eddington outflow produced during the disruption and a pre-existing circumnuclear gas cloud, with no jet required. In the simulations a strong forward shock appears as early as $\sim 10$ days after disruption, and by three years the shocked shell has radius $\approx 10^{17}$ cm, velocity $\sim 0.15c$, and total energy $\sim 10^{51}$ erg, in line with values inferred from observations. The synthetic spectra, produced by ray tracing the shocked gas, peak at the self-absorption frequency rather than at the synchrotron characteristic or cooling frequencies, and this peak frequency decays continuously, roughly as $t^{-0.78}$, matching the prompt-radio observations. The emitting region is aspherical with a flattened, ring-like morphology and reflection symmetry about the original stellar orbital plane, even though the outflow itself is quasi-spherical. The authors conclude that outflow–circumnuclear-medium collisions are a sufficient and likely dominant source of radio synchrotron emission from TDEs.
Load-bearing premise
The argument stands on the assumed circumnuclear medium: a smooth, initially static, spherically symmetric shell with density $\rho=\rho_0(r/r_0)^{-1.7}$ and total mass $0.1\,M_\odot$; if the real gas is clumpy, thinner, or has a different density slope, the predicted shock properties and radio spectra could shift substantially.
Editorial extensions
If this is right
- Prompt radio TDE flares can be produced without jets: a quasi-spherical super-Eddington outflow colliding with a modest circumnuclear shell is sufficient.
- The radio-emitting region should appear as a flattened, mirror-symmetric shell rather than a round blob, so the viewing angle relative to the star's orbital plane shapes the observed image.
- Only about 10% of the outflow kinetic energy ends up in the shocked, radio-emitting gas, so radio-inferred energy budgets should not be equated with the total outflow energy.
- The decaying peak frequency of prompt radio TDEs can be read as the self-absorption frequency of the shocked shell, giving a physical scaling rather than an empirical fit.
- Because TDE outflows are common while jets are rare, outflow-driven radio emission may dominate the radio TDE population whenever enough circumnuclear gas is present.
Reading between the lines
- Beyond the paper: the $\nu_{\rm peak}\simeq\nu_{\rm a}$ scaling predicts that combining a measured CNM density profile (from X-ray or free-free absorption) with a measured radio peak-frequency decay slope would pin down the expansion index $\delta$ and the magnetic-field decay index in a single event.
- Beyond the paper: if the CNM is clumpy, the smooth-shell simulations underestimate peak-flux variability; radio light curves with re-brightening episodes would be a natural test of clump-driven bow shocks.
- Beyond the paper: the same external shocks should accelerate protons, but with only about 10% of the outflow energy in the shock, neutrino and gamma-ray predictions scaled to the full outflow energy are likely too optimistic.
- Beyond the paper: the apparent asymmetry in the $\beta=5$ outflow that the authors flag as possibly numerical could be tested by repeating the run with different noise seeds or resolution; if physical, it would break the exact mirror symmetry of the radio image.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper uses general relativistic smoothed particle hydrodynamics (Phantom) simulations of tidal disruption events (TDEs) with penetration factors beta = 1 and 5 on eccentric orbits (e = 0.95) and injects the resulting super-Eddington outflows into a static, spherically symmetric circumnuclear medium (CNM) shell. The authors identify shocked material via an entropy threshold, extract shock radius, velocity, and energy, compare these with equipartition-model inferences for six radio TDEs, and ray-trace synchrotron emission from the shocked particles to produce synthetic images and spectra. The central claim is that the outflow-CNM collision produces shocks as early as ~10 days with radius ~1e17 cm, velocity ~0.15c, and energy ~1e51 erg, and that the synthetic spectra show a continuously decaying peak frequency that matches prompt radio TDE observations, supporting the hypothesis that such collisions, rather than jets, can explain at least some prompt radio flares from TDEs.
Significance. If the central result holds, this is a significant step: it provides a self-consistent hydrodynamic demonstration that quasi-spherical super-Eddington TDE outflows colliding with a CNM shell can produce shocks with properties consistent with prompt radio observations, and that the synchrotron peak frequency decays in time as observed. The paper includes a resolution study (Appendix A), a benchmark of the ray-tracing scheme against analytic synchrotron spectra (Appendix B), and public data releases on Zenodo, which strengthen confidence in the numerical machinery. The significance is tempered by the ad hoc construction of the CNM model (Section 2.1), the calibration of epsilon_e and epsilon_B to the same observations (Sections 2.6.3 and 4), and the admitted discrepancies in peak-flux evolution and spectral shape for several events (Section 3.5).
major comments (3)
- [§2.1, §3.5] The CNM density profile is the main external input and is not independently constrained: n = -1.7 is adopted from AT2019dsg (Cendes et al. 2021) and M_CNM = 0.1 M_sun is chosen to 'ensure significant collisions' (Section 2.1). Because the model is subsequently compared with AT2019dsg in Figure 5 (top right), the agreement for that event is at least partly by construction. The paper varies M_CNM only for beta = 5 (0.01 and 1 M_sun; Figures 3 and 6) and does not vary n or test a clumpy or truncated CNM, although Section 3.6 and Section 4 argue that the peak frequency and flux evolution depend sensitively on the CNM structure. Without a systematic exploration or an independent constraint on the CNM, the sufficiency claim in the abstract is not established.
- [§2.6.3, §3.5, §4] The spectral comparison is made after selecting epsilon_e and epsilon_B from a grid (Section 2.6.3) and choosing a viewing direction per event (Figure 5 caption) to best match the observed spectra. The reported 'best fit' values (epsilon_e ~ 0.1, epsilon_B ~ 0.01, Section 4) are therefore calibrated to the same data that the model is claimed to reproduce; no goodness-of-fit or uncertainty is provided, and three of the seven events (AT2020opy, AT2019azh, CNSS J0019) are not fitted at all. This weakens the inference that the synthetic spectra independently support the model over the jet hypothesis.
- [Abstract, §3.5, §4] The abstract states that the synthetic spectra 'match prompt radio TDE observations,' but Figure 5 shows that the spectral shapes are not reproduced for eRASSt J2344 and ASAASN-14li (bottom row) and that the peak-flux evolution differs from observations for all events (Section 3.5). The paper's own Section 4 lists several possible explanations for these discrepancies, including a steeper or clumpy CNM and incomplete cooling. The evidence supports a more limited claim: the model reproduces the decaying peak-frequency trend and, for two of four fitted events, the early-time spectral shape at order-of-magnitude level.
minor comments (5)
- [§3.6] There is a typo in the sentence beginning 'consistent with Spectrum 2 shown in Figure B.4. s The scaling of νa ...' where an unattached 's' appears between the two sentences.
- [Eq. (21) and following text] The notation q is used both for the exponent in the scaling relation and as a variable in the expression q ≡ 2/(p+4)n − (p+2)/(p+4)m + 2/(p+4); please clarify in the text that q is the resulting exponent and avoid reusing q later without definition.
- [Eq. (3)] Equation (3) is only valid for n > -3; since the paper uses n = -1.7 this is fine, but the general expression should state this restriction to avoid a formally negative density for steeper profiles.
- [§2.2 and §2.6.1] The distinction between the temperature used for interpreting internal energy (Section 2.2) and the electron energy distribution assumed in the synchrotron calculation (Section 2.6.1) is clear in the text, but it would help to restate in Section 2.6 that the large post-shock temperatures shown in Figure 2 are not used directly as electron temperatures in the radiative transfer.
- [Appendix A] The resolution study is presented only at t = 0.3 yr; the statement that the synthetic images are 'not critically resolution dependent' should be qualified as applying to the early-time epoch shown in Figures A.1 and A.2, since the text notes that the flux below ~20 GHz is not yet converged.
Circularity Check
Partial circularity: the CNM density slope used for AT2019dsg is imported from AT2019dsg itself, and ϵe/ϵB are calibrated to the target spectra, so the AT2019dsg spectral match is partly by construction; the mechanism retains independent support from other events and shock properties.
-
fitted input called prediction
[Section 2.1 (CNM setup) and Section 3.5 / Figure 5 (fits to AT2019dsg)]
"“In this work, we adopt n = −1.7 from AT2019dsg (Cendes et al. 2021), which gives ρ0 = 5.03 × 10−18 g cm−3.” … “AT2019dsg (top right panel; Cendes et al. 2021) … are best fitted with matching spectral shape and ≲ 0.3 dex differences in flux.”"
The density power-law slope n = −1.7 is a key input controlling the CNM density profile (Eq. 2) and, through Eq. (21), the self-absorption/peak frequency of the synthetic spectra. Taking n from AT2019dsg and then reporting AT2019dsg as one of the best-matching events means the match for that event is partly a re-expression of the input, not an independent test. Section 4 concedes the same: “Compared with AT2019dsg … where we adopted the CNM density power law index from, the evolution of the peak frequency is roughly consistent with our models.” This is a consistency check for AT2019dsg, not out-of-sample confirmation.
-
fitted input called prediction
[Section 4 (Discussion) and Section 5 (Conclusions)]
"“By comparing our synthetic spectra with the observations, we find that we need ϵe ∼ 0.1 and ϵB ∼ 0.01 to produce spectra that are close to the observed ones in both luminosity and shape (top row of Figure 5).”"
ϵe and ϵB are entered as a free grid (Section 2.6.3: “we performed a grid of synthetic observations with the standard p = 2.5 and ϵe and ϵB each set to 0.5, 0.1 and 0.01”), and the values 0.1/0.01 are selected because they make the synthetic spectra match the observed spectra. Presenting these calibrated values as a result (“we need … to produce spectra that are close to the observed ones”) converts a fit into a finding. The spectral-shape and flux agreement in Figure 5 is therefore partly purchased by the chosen microphysical parameters, though the temporal peak-frequency decay is less affected by this choice.
full rationale
The paper is a genuine simulation study; much of the derivation chain is self-contained. The TDE outflows come from prior GRSPH simulations (Hu et al. 2024) and the radio emission is ray-traced from the shocked fluid using standard synchrotron formulae, benchmarked against a homogeneous cube (Appendix B). There is no imported uniqueness theorem and no load-bearing self-citation chain. However, one key environmental input is taken from the very event the model is then compared with: the CNM density slope n = −1.7 is adopted from AT2019dsg (Cendes et al. 2021), and AT2019dsg is presented as one of the best-fitting targets (Fig. 5). Since the peak frequency in the model is set by self-absorption and depends on the CNM density profile (Eq. 21), the match to AT2019dsg is partly circular; the paper itself acknowledges this in Section 4. Separately, the microphysical fractions ϵe and ϵB are selected from a grid to reproduce the observed spectra and then listed as a finding, so the flux/shape agreement is calibrated rather than predicted. These issues are partial: the shock radius/velocity/energy comparisons (Fig. 3) and the matches to other events (AT2020vwl, eRASSt J2344, ASAASN-14li) do not use those events' CNM parameters, and the temporal decay of the peak frequency is not directly fitted. The central claim therefore retains independent content, but the AT2019dsg validation is not out-of-sample. The choice M_CNM = 0.1 M_sun to ensure significant collisions is an assumption that limits generality, but it is not circular because it is not derived from the target spectra. Score 5 reflects this partial, event-specific circularity rather than a fully forced derivation.
Assumptions & free parameters
free parameters (7)
- CNM density power-law index n =
-1.7
- CNM total mass M_CNM =
0.1 M_sun (with 1 and 0.01 variants)
- Electron energy fraction epsilon_e =
0.1
- Magnetic energy fraction epsilon_B =
0.01
- Electron power-law index p =
2.5
- Shock detection entropy threshold =
30% rise over background
- Injection radius r_inj =
9.8 x 10^14 cm
assumptions (8)
- domain assumption The TDE outflow is produced by radiation-pressure-driven winds from an adiabatic simulation where gas and radiation temperatures are in equilibrium (radiation fully trapped).
- domain assumption Collisionless shocks form in the low-density TDE outflow and CNM environment due to ambient magnetic fields.
- ad hoc to paper Synchrotron radiation is produced only by particles with entropy at least 30% above their background value.
- domain assumption Electrons in the shocked region follow a power-law energy distribution with minimum energy E_m and index p.
- domain assumption The shocked gas is fully ionized, pure hydrogen, so Ne = Np.
- domain assumption Only slow cooling (nu_m < nu_c) is considered; synchrotron and bremsstrahlung cooling are neglected in the dynamics.
- domain assumption The CNM is initially stationary and cold, with T = 10 K, and the gas is described by an adiabatic EoS with gamma = 5/3.
- domain assumption The equipartition model (Barniol Duran et al. 2013) provides valid observational inferences of shock radius, velocity, and energy.
Cite this review
Pith. "Pith review of Radio emission from tidal disruption events produced by the collision between super-Eddington outflows and the circumnuclear medium." pith.science (2026). https://pith.science/paper/5SOUYS63
@misc{pith2026250701273,
author = {Pith},
title = {Pith review of: Radio emission from tidal disruption events produced by the collision between super-Eddington outflows and the circumnuclear medium},
year = {2026},
howpublished = {\url{https://pith.science/paper/5SOUYS63}},
note = {Machine review of arXiv:2507.01273}
}
abstract
In this Letter, we simulate the collision between outflows from the tidal disruption of a 1M$_\odot$ main sequence star around a $10^6$M$_\odot$ black hole and an initially spherically symmetric circumnuclear cloud. We launch super-Eddington outflows self-consistently by simulating the disruption of stars on both bound and unbound initial orbits using general relativistic smoothed particle hydrodynamics. We find shocks formed as early as $\sim 10~$days after the initial stellar disruption produce prompt radio emission. The shock radius ($\approx~10^{17}$~cm), velocity ($\sim 0.15$c) and total energy ($\sim 10^{51}$ erg) in our simulations match those inferred from radio observations of tidal disruption events (TDEs). We ray-trace to produce synthetic radio images and spectra to compare with the observations. While the TDE outflow is quasi-spherical, the synchrotron emitting region is aspherical but with reflection symmetry above and below the initial orbital plane. Our synthetic spectra show continuous decay in peak frequency, matching prompt radio TDE observations. Our model supports the hypothesis that synchrotron radio flares from TDEs result from the collision between outflows and the circumnuclear material.
Figures
Figures from the paper (3 more)
Reference graph
Works this paper leans on
-
[1]
¹x M W3 d` 7 b@`d<O ? +& a dQט ,,| h7
thebibliography [1] 20pt to REFERENCES 6pt =0pt -12pt 10pt plus 3pt =0pt =0pt =1pt plus 1pt =0pt =0pt -12pt =13pt plus 1pt =20pt =13pt plus 1pt \@M =10000 =-1.0em =0pt =0pt 0pt =0pt =1.0em @enumiv\@empty 10000 10000 `\.\@m \@noitemerr \@latex@warning Empty `thebibliography' environment \@ifnextchar \@reference \@latexerr Missing key on reference command E...
2021
-
[2]
D., Berger , E., Guillochon , J., Zauderer , B
Alexander , K. D., Berger , E., Guillochon , J., Zauderer , B. A., & Williams , P. K. G. 2016, , 819, L25, 10.3847/2041-8205/819/2/L25
-
[3]
Anderson , M. M., Mooley , K. P., Hallinan , G., et al. 2020, , 903, 116, 10.3847/1538-4357/abb94b
-
[4]
Auchettl , K., Guillochon , J., & Ramirez-Ruiz , E. 2017, , 838, 149. 1611.02291
arXiv 2017
-
[5]
2013, , 772, 78, 10.1088/0004-637X/772/1/78
Barniol Duran , R., Nakar , E., & Piran , T. 2013, , 772, 78, 10.1088/0004-637X/772/1/78
-
[6]
Blandford , R. D., & McKee , C. F. 1976, Physics of Fluids, 19, 1130, 10.1063/1.861619
doi:10.1063/1.861619 1976
-
[7]
Bonnerot , C., Rossi , E. M., Lodato , G., & Price , D. J. 2016, , 455, 2253, 10.1093/mnras/stv2411
-
[8]
Cendes , Y., Alexander , K. D., Berger , E., et al. 2021, , 919, 127, 10.3847/1538-4357/ac110a
Show all 74 references
-
[9]
2024 a , The Astronomer's Telegram, 16650, 1
Cendes , Y., Berger , E., Alexander , K., Laskar , T., & Goodwin , A. 2024 a , The Astronomer's Telegram, 16650, 1
2024
-
[10]
D., et al
Cendes , Y., Berger , E., Alexander , K. D., et al. 2024 b , , 971, 185, 10.3847/1538-4357/ad5541
2024 doi
- [11]
-
[12]
A., & Guillochon , J
Chen , X., G \'o mez-Vargas , G. A., & Guillochon , J. 2016, , 458, 3314, 10.1093/mnras/stw437
2016 doi
-
[13]
Chevalier , R. A. 1998, , 499, 810, 10.1086/305676
1998 doi
-
[14]
R., Gaensler , B
Dykaar , H., Drout , M. R., Gaensler , B. M., et al. 2024, , 973, 104, 10.3847/1538-4357/ad5a98
2024 doi
-
[15]
2024, , 961, 162, 10.3847/1538-4357/ad0da3
Fukui , Y., Aruga , M., Sano , H., et al. 2024, , 961, 162, 10.3847/1538-4357/ad0da3
2024 doi
-
[16]
B., & Arcavi , I
Gezari , S., Cenko , S. B., & Arcavi , I. 2017, , 851, L47, 10.3847/2041-8213/aaa0c2
2017 doi
-
[17]
J., van Velzen , S., Miller-Jones , J
Goodwin , A. J., van Velzen , S., Miller-Jones , J. C. A., et al. 2022, , 511, 5328, 10.1093/mnras/stac333
2022 doi
-
[18]
J., Alexander , K
Goodwin , A. J., Alexander , K. D., Miller-Jones , J. C. A., et al. 2023 a , , 10.1093/mnras/stad1258
2023 doi
-
[19]
J., Miller-Jones , J
Goodwin , A. J., Miller-Jones , J. C. A., van Velzen , S., et al. 2023 b , , 518, 847, 10.1093/mnras/stac3127
2023 doi
-
[20]
J., Anderson , G
Goodwin , A. J., Anderson , G. E., Miller-Jones , J. C. A., et al. 2024, , 10.1093/mnras/stae362
2024 doi
- [21]
-
[22]
2023, , 942, 9, 10.3847/1538-4357/aca283
Hammerstein , E., van Velzen , S., Gezari , S., et al. 2023, , 942, 9, 10.3847/1538-4357/aca283
2023 doi
- [23]
-
[24]
2023, , 954, 5, 10.3847/1538-4357/ace35a
Hayasaki , K., & Yamazaki , R. 2023, , 954, 5, 10.3847/1538-4357/ace35a
2023 doi
-
[25]
B., & Arcavi , I
Horesh , A., Cenko , S. B., & Arcavi , I. 2021 a , Nature Astronomy, 5, 491, 10.1038/s41550-021-01300-8
2021 doi
-
[26]
2021 b , , 920, L5, 10.3847/2041-8213/ac25fe
Horesh , A., Sfaradi , I., Fender , R., et al. 2021 b , , 920, L5, 10.3847/2041-8213/ac25fe
2021 doi
-
[27]
J., & Mandel , I
Hu , F., Price , D. J., & Mandel , I. 2024, , 963, L27, 10.3847/2041-8213/ad29ec
2024 doi
-
[28]
W., & Jiang , Y.-f
Huang , X., Davis , S. W., & Jiang , Y.-f. 2024, , 974, 165, 10.3847/1538-4357/ad6c39
2024 doi
-
[29]
2011, , 734, 77, 10.1088/0004-637X/734/2/77
Inoue , T., Asano , K., & Ioka , K. 2011, , 734, 77, 10.1088/0004-637X/734/2/77
2011 doi
-
[30]
2023, , 953, L12, 10.3847/2041-8213/acebe3
Jiang , N., Zhou , Z., Zhu , J., Wang , Y., & Wang , T. 2023, , 953, L12, 10.3847/2041-8213/acebe3
2023 doi
-
[31]
G., Stone , N
Jonker , P. G., Stone , N. C., Generozov , A., van Velzen , S., & Metzger , B. 2020, , 889, 166. 1906.12236
2020 arXiv
-
[32]
Krolik , J., Piran , T., Svirski , G., & Cheng , R. M. 2016, , 827, 127, 10.3847/0004-637X/827/2/127
2016 doi
-
[33]
Liptai , D., & Price , D. J. 2019, , 485, 819. 1901.08064
2019 arXiv
- [34]
-
[35]
2020, , 492, 686, 10.1093/mnras/stz3405
Lu , W., & Bonnerot , C. 2020, , 492, 686, 10.1093/mnras/stz3405
2020 doi
-
[36]
C., Polin , A., & Milisavljevic , D
Mandal , S., Duffell , P. C., Polin , A., & Milisavljevic , D. 2023, , 956, 130, 10.3847/1538-4357/acf9fb
2023 doi
-
[37]
2021, , 507, 4196, 10.1093/mnras/stab2418
Matsumoto , T., & Piran , T. 2021, , 507, 4196, 10.1093/mnras/stab2418
2021 doi
-
[38]
2024 a , , 971, 49, 10.3847/1538-4357/ad58ba
---. 2024 a , , 971, 49, 10.3847/1538-4357/ad58ba
2024 doi
- [39]
-
[40]
D., Giannios , D., & Mimica , P
Metzger , B. D., Giannios , D., & Mimica , P. 2012, , 420, 3528, 10.1111/j.1365-2966.2011.20273.x
2012
-
[41]
J., & Price , D
Monaghan , J. J., & Price , D. J. 2001, , 328, 381, 10.1046/j.1365-8711.2001.04742.x
2001
-
[42]
2021, , 507, 1684, 10.1093/mnras/stab2261
Mou , G., & Wang , W. 2021, , 507, 1684, 10.1093/mnras/stab2261
2021 doi
-
[43]
S., Zhang , B
Murase , K., Kimura , S. S., Zhang , B. T., Oikonomou , F., & Petropoulou , M. 2020, , 902, 108, 10.3847/1538-4357/abb3c0
2020 doi
-
[44]
2015, , 114, 085003, 10.1103/PhysRevLett.114.085003
Park , J., Caprioli , D., & Spitkovsky , A. 2015, , 114, 085003, 10.1103/PhysRevLett.114.085003
2015 doi
-
[45]
J., Knigge , C., Matthews , J
Parkinson , E. J., Knigge , C., Matthews , J. H., et al. 2022, , 510, 5426, 10.1093/mnras/stac027
2022 doi
-
[46]
R., & van Velzen , S
Pasham , D. R., & van Velzen , S. 2018, , 856, 1, 10.3847/1538-4357/aab361
2018 doi
-
[47]
2022, Universe, 8, 433, 10.3390/universe8080433
Peng , F.-K., Zhu , B.-Y., Sun , L.-M., Shu , X.-W., & Wang , X.-Y. 2022, Universe, 8, 433, 10.3390/universe8080433
2022 doi
-
[48]
S., Meyer , E
Perlman , E. S., Meyer , E. T., Wang , Q. D., et al. 2022, , 925, 143, 10.3847/1538-4357/ac3bba
2022 doi
-
[49]
2023, , 2023, 049, 10.1088/1475-7516/2023/11/049
Piran , T., & Beniamini , P. 2023, , 2023, 049, 10.1088/1475-7516/2023/11/049
2023 doi
-
[50]
M., & Shiokawa , H
Piran , T., Svirski , G., Krolik , J., Cheng , R. M., & Shiokawa , H. 2015, , 806, 164, 10.1088/0004-637X/806/2/164
2015 doi
-
[51]
Price , D. J. 2007, , 24, 159, 10.1071/AS07022
2007 doi
-
[52]
J., Liptai , D., Mandel , I., et al
Price , D. J., Liptai , D., Mandel , I., et al. 2024, , 971, L46, 10.3847/2041-8213/ad6862
2024 doi
-
[53]
J., Wurster , J., Tricco , T
Price , D. J., Wurster , J., Tricco , T. S., et al. 2018, , 35, e031, 10.1017/pasa.2018.25
2018 doi
-
[54]
Rees , M. J. 1988, , 333, 523, 10.1038/333523a0
1988 doi
-
[55]
B., & Lightman , A
Rybicki , G. B., & Lightman , A. P. 1979, Radiative processes in astrophysics (Wiley-VCH)
1979
-
[56]
1996, , 473, 204, 10.1086/178136
Sari , R., Narayan , R., & Piran , T. 1996, , 473, 204, 10.1086/178136
1996 doi
-
[57]
1998, , 497, L17, 10.1086/311269
Sari , R., Piran , T., & Narayan , R. 1998, , 497, L17, 10.1086/311269
1998 doi
-
[58]
Sedov , L. I. 1959, Similarity and Dimensional Methods in Mechanics
1959
-
[59]
2022, , 933, 176, 10.3847/1538-4357/ac74bc
Sfaradi , I., Horesh , A., Fender , R., et al. 2022, , 933, 176, 10.3847/1538-4357/ac74bc
2022 doi
-
[60]
2021, Nature Astronomy, 5, 510, 10.1038/s41550-020-01295-8
Stein , R., van Velzen , S., Kowalski , M., et al. 2021, Nature Astronomy, 5, 510, 10.1038/s41550-020-01295-8
2021 doi
-
[61]
2023, , 521, 5046, 10.1093/mnras/stad767
Stein , R., Reusch , S., Franckowiak , A., et al. 2023, , 521, 5046, 10.1093/mnras/stad767
2023 doi
-
[62]
E., & Quataert , E
Strubbe , L. E., & Quataert , E. 2009, , 400, 2070, 10.1111/j.1365-2966.2009.15599.x
2009
-
[63]
S., Tomida , K., & Toma , K
Tomita , S., Ohira , Y., Kimura , S. S., Tomida , K., & Toma , K. 2022, , 936, L9, 10.3847/2041-8213/ac88be
2022 doi
-
[64]
2011 a , , 417, L51, 10.1111/j.1745-3933.2011.01118.x
van Velzen , S., K \"o rding , E., & Falcke , H. 2011 a , , 417, L51, 10.1111/j.1745-3933.2011.01118.x
2011
-
[65]
R., Gezari , S., et al
van Velzen , S., Farrar , G. R., Gezari , S., et al. 2011 b , , 741, 73, 10.1088/0004-637X/741/2/73
2011 doi
-
[66]
E., Stone , N
van Velzen , S., Anderson , G. E., Stone , N. C., et al. 2016, Science, 351, 62, 10.1126/science.aad1182
2016 doi
-
[67]
2021, , 908, 4
van Velzen , S., Gezari , S., Hammerstein , E., et al. 2021, , 908, 4. 2001.01409
2021 arXiv
-
[68]
R., et al
Wevers , T., Guolo , M., Pasham , D. R., et al. 2024, , 963, 75, 10.3847/1538-4357/ad1878
2024 doi
-
[69]
2022, , 514, 4406, 10.1093/mnras/stac1621
Wu , H.-J., Mou , G., Wang , K., Wang , W., & Li , Z. 2022, , 514, 4406, 10.1093/mnras/stac1621
2022 doi
-
[70]
2020, , 897, L41, 10.3847/2041-8213/aba11e
Xu , R., Spitkovsky , A., & Caprioli , D. 2020, , 897, L41, 10.3847/2041-8213/aba11e
2020 doi
-
[71]
2022, , 934, 136, 10.3847/1538-4357/ac7c68
Xu , S. 2022, , 934, 136, 10.3847/1538-4357/ac7c68
2022 doi
-
[72]
2023, , 955, L6, 10.3847/2041-8213/acf216
Yao , Y., Ravi , V., Gezari , S., et al. 2023, , 955, L6, 10.3847/2041-8213/acf216
2023 doi
-
[73]
2024, , 969, 136, 10.3847/1538-4357/ad50a9
Yuan , C., Winter , W., & Lunardini , C. 2024, , 969, 136, 10.3847/1538-4357/ad50a9
2024 doi
- [74]
Reviewed August 6, 2026 · model on record in the stance chip above.
Discussion (0). Continue with ORCID to comment.