Pith. sign in

REVIEW 3 major objections 4 minor 1 cited by

Spectral and magnetic properties of the jet base in NGC 315

T0 review · 3 major / 4 minor · reviewed 2026-08-12 · deepseek-v4-flash

Pith's one-line read The jet of the radio galaxy NGC 315 is magnetically dominated at its base, with a toroidal magnetic field that weakens close to linearly with distance from the jet apex.

desk verdict Careful VLBI work with valuable new data, but the toroidal-field B(z) claim rests on an acknowledged constant-Gamma approximation and conflicts with the paper's own turnover-frequency method. read the letter →

arxiv 2411.19126 v1 pith:KPCEANFM submitted 2024-11-28 astro-ph.HE

classification astro-ph.HE
keywords galaxies:activejetindividual:NGC315instrumentation:highangularresolutionverylongbaselineinterferometryspectralindexbrightnesstemperaturemagneticfieldgeometry
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

Using multi-frequency, multi-epoch very long baseline interferometry of the nearby radio galaxy NGC 315, this paper tries to pin down the magnetic field strength and geometry in the innermost jet, where the outflow is thought to convert magnetic energy into bulk motion. The authors find spectral indices as steep as $\alpha\sim-2$ on sub-parsec scales that flatten to $\alpha\sim-0.8$ on parsec scales, and brightness temperatures below equipartition at the 43 GHz core that rise toward equipartition farther downstream. From these data they derive a magnetic field that falls off close to linearly with distance from the jet apex, with power-law index between about $-0.45$ and $-1$, and conclude that the toroidal field component dominates from sub-parsec through parsec scales. If correct, this is direct observational support for the magnetic-acceleration picture of relativistic jets, and it gives jet models a concrete field profile to reproduce.

What carries the argument

The argument turns on power-law indices of the intrinsic brightness temperature profile, $T_b\propto r^\epsilon$. Equations (2)-(4), from Lobanov & Zensus (1999), give the expected $\epsilon$ for Compton, synchrotron, and adiabatic loss stages as a function of the magnetic-field index $a$ in $B(z)=z^a$, and matching the measured slopes identifies the loss mechanism and field geometry in the conical jet. For the parabolic region, Eq. (5), $\epsilon=p+n+a(1-\alpha)$, ties the jet width index $p$, electron density index $n$, spectral index $\alpha$, and field index $a$; this is the relation that yields the sub-parsec field index, under a constant-speed assumption the paper acknowledges is only approximately true. These relations, applied to core-shift-aligned spectral index, brightness temperature, and turnover-frequency maps, carry the inference of toroidal dominance.

What would settle it

Measure the jet speed profile $\Gamma(z)$ directly on sub-parsec scales, for example through multi-epoch component kinematics or Doppler-factor estimates, and recompute the magnetic-field index with a version of Eq. (5) that allows a varying Lorentz factor: if $\Gamma$ changes substantially between roughly $100\,R_S$ and $10^4\,R_S$, the inferred range $-0.80\lesssim a\lesssim-0.45$ will shift, and the preference for a toroidal field would not follow.

Watch

Extended reading notes

Core claim

The paper's central claim is that the jet of NGC 315 is magnetically dominated at its base and that its magnetic field is toroidally dominated through the acceleration and collimation zone and into the conical region, with $B(z)\propto z^a$ and $a$ between about $-0.45$ and $-1$. In the parabolic collimation zone the authors infer $-0.80\lesssim a\lesssim-0.45$, which favors a toroidal field over a poloidal one; in the conical region the measured brightness-temperature slopes match an adiabatic-loss model with a toroidal field ($a\approx-1$). They also locate the black hole roughly $100\,R_S$ upstream of the 43 GHz core, measure a jet width at injection of about $35\,R_S$, and find that a turnover-frequency method yields nearly flat magnetic-field profiles that they regard as inconsistent with the other evidence, attributing this to the method being incomplete for continuous jets rather than individual shock components. The steep sub-parsec spectrum is interpreted as particle injection with low efficiency plus synchrotron cooling, while the flatter parsec-scale spectrum reflects renewed injection, with diffusive shock acceleration favored.

Load-bearing premise

The load-bearing assumption is that the jet speed stays roughly constant through the sub-parsec collimation zone, because Eq. (5) is only valid in that case and the paper itself says the condition is not strictly satisfied in NGC 315.

Editorial extensions

If this is right

  • The jet base of NGC 315 is out of equipartition: magnetic energy dominates at the 43 GHz core, and equipartition is reached only near the end of the collimation region.
  • The magnetic field does not follow a single power law down the jet; simple $z^{-1}$ extrapolations from parsec scales overestimate the field inside the collimation zone, where the decay is flatter.
  • The results support magnetic acceleration: the toroidal component is dissipated as the flow moves from sub-parsec to parsec scales, converting Poynting flux into kinetic energy while its hoop stress collimates the jet.
  • The spatial evolution of the spectral index implies two particle regimes: inefficient injection plus synchrotron cooling near $10^3\,R_S$, and renewed injection with possible shear-layer acceleration farther out, with diffusive shock acceleration favored over magnetic reconnection.

Reading between the lines

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

  • If the toroidal field reaches the jet apex, observations at higher frequencies (86 GHz and beyond) should find the innermost core even more magnetically dominated, with brightness temperatures staying below equipartition; this is a direct continuation of the paper's trend and is testable.
  • Combining the derived $B(z)$ with the measured jet-speed profile would yield a quantitative magnetization profile $\sigma(z)$; a steady decline through the collimation zone would confirm magnetic-to-kinetic conversion, a prediction that simulations of magnetized jets could check.
  • The paper's warning that the turnover-frequency formula (Eq. 6) is incomplete for continuous flows implies that published field strengths derived from turnover fits in other jets may be biased if those fits assumed the same shock-component formalism.
  • The hints of limb-brightening and a transverse spectral gradient fit a spine-sheath picture; if shear-layer acceleration operates on parsec scales, higher-resolution observations should show the spectral index flattening toward the jet edges.
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 / 4 minor

Summary. The manuscript analyzes new and archival VLBI observations of the radio galaxy NGC 315 to constrain the magnetic field in the jet base. After calibrating and imaging three new 43 GHz VLBA epochs and re-analyzing a simultaneous 1.4–43 GHz VLBA data set, the authors measure core shifts, produce spectral index maps, derive intrinsic brightness temperature profiles from Gaussian modelfit components, and map the synchrotron turnover frequency. They report a steep spectral index α ≈ −2 on sub-parsec scales flattening to α ≈ −0.8 on parsec scales, a brightness temperature that implies magnetic-energy dominance at the 43 GHz core with a transition toward equipartition, and a turnover frequency decreasing from roughly 10–35 GHz at the core to about 6 GHz at 0.7 pc. Using Eqs. (2)–(5) they infer a magnetic field index a in the range −0.80 to −0.45 in the collimation region and a = −1 in the conical region, concluding that the toroidal field component dominates on all scales and that B decreases roughly as z^−0.45 to z^−1.

Significance. If the magnetic-field conclusion is correct, the paper provides one of the few direct constraints on B(z) inside an AGN jet acceleration and collimation zone, with important implications for magnetic acceleration. The observational work is careful: core-shift errors are propagated through the analysis, modelfit parameters are tabulated in full, and the paper explicitly identifies the main theoretical limitation of Eq. (5). The spectral index and brightness temperature analyses are valuable independent of the field-geometry inference. The main weaknesses are that the central B(z) index rests on an assumption the authors admit is violated, and that an independent turnover-based estimate gives a conflicting result; these issues currently prevent the strong toroidal conclusion from being fully supported.

major comments (3)
  1. [§4.3 (Eq. 5), §5] The central result −0.80 ≲ a ≲ −0.45 for the collimation region is derived from Eq. (5), which the text states "is only valid under the assumption of constant Lorentz factor," adding that "this condition is not strictly valid for NGC 315." No estimate of the resulting systematic error is provided. Since the brightness temperatures are Doppler-corrected using the Ricci et al. (2022) speed profile, a varying Γ(z) changes both the observed slope ε and the interpretation of Eq. (5). A plausible change of order 0.5 in ε shifts a by roughly 0.2, comparable to the width of the claimed poloidal-versus-toroidal separation. The abstract and conclusions therefore state the toroidal-dominated, close-to-linear B(z) result more strongly than the supporting calculation warrants. Please quantify the effect using the measured Γ(z), or explicitly present this index as an order-of-magnitude estimate pending a constant-Γ relaxation.
  2. [§4.3 (Eq. 6), Fig. 8, §5] The turnover-frequency method yields B(z) indices between −0.30 and +0.30, i.e. a flat or increasing field, directly conflicting with the z^−0.45 to z^−1 dependence claimed elsewhere. The paper attributes the discrepancy to Eq. (6) being valid only for discrete shock components, but it does not provide the adapted formalism needed for the bulk-flow measurement. This is not an optional caveat: the turnover analysis is the only method in the paper that does not rely on the constant-Lorentz-factor assumption, and it disagrees with the headline conclusion. The authors should either develop the adapted version of Eq. (6), or state explicitly in the conclusions that the field-index determination remains provisional while the turnover-based method is being reformulated.
  3. [§3.4, Table 3] The choice of a single representative slope ε = −2.4 ± 0.5 for the 22, 43, and 86 GHz profiles is not fully justified. The individual best-fit values are −2.43 ± 0.11, −2.21 ± 0.10, and −2.87 ± 0.53, and the scatter among frequencies exceeds the formal errors. Because the inferred a is linearly sensitive to ε, the authors should propagate the frequency-to-frequency scatter and the epoch-to-epoch variability noted in Appendix A into the reported range, or explicitly motivate the weighting used to obtain the representative value.
minor comments (4)
  1. [§5, fourth bullet] The text "10 GHz ≲ αbr ≲ 35 GHz" should use νbr rather than αbr for the turnover frequency.
  2. [§3.5 and Appendix A] Section 3.5 states that all parameters vary freely except a fixed αt = 2.5, while Appendix A says that all parameters in Eq. (A.1) are left to vary freely; please reconcile these descriptions.
  3. [Fig. 6, right panel] The text mentions "the two 43 GHz points," but Table B.9 lists four 43 GHz epochs; please clarify which points are plotted and whether some epochs were excluded.
  4. [Throughout] There are several typographical and formatting issues (e.g., "firsly" and "occurence" in the Introduction, and numerous "di fferent" artifacts in the text); a careful proofreading pass is needed.

Circularity Check

0 steps flagged · score 1.0 of 10

No significant circularity: the B(z) and field-geometry claims are model-based inferences from independent observables, with self-citations playing a supporting rather than defining role.

full rationale

The central chain is: measure spectral indices, brightness temperatures, core shifts and turnover frequencies (all independent observables); correct T_b for Doppler factor using the speed profile of Ricci et al. (2022); fit T_b(z) power laws; then interpret the slopes with two external model frameworks, Lobanov & Zensus (1999) for the conical region and Kadler et al. (2004), Eq. 5, for the parabolic region. The magnetic-field exponent a is solved from epsilon = p + n + a(1-alpha) with measured alpha and epsilon and assumed n; it is not defined in terms of the conclusion. The p = 0.45 jet-width index and the speed profile are prior observational constraints from Boccardi et al. (2021) and Ricci et al. (2022); citing them is normal and does not reduce the B-field claim to an input. The paper explicitly discloses the fragile assumptions: Eq. 5 'is only valid under the assumption of constant Lorentz factor' and 'this condition is not strictly valid for NGC 315'; the turnover-frequency route gives a conflicting index (-0.30 to +0.30), which the paper reports and sets aside because Eq. 6 is suited to discrete shocks. These are correctness/robustness limitations, not circularity. No fitted parameter is renamed as a prediction, and no claim is forced by a self-citation chain. The one self-citation cluster (Ricci et al. 2022, 2024, for magnetic acceleration) is used to merge theoretical expectations into the final -0.80 < a < -0.45 range, but the supporting dissipation physics is also cited to independent work (Komissarov et al. 2007, 2012), so the conclusion is not equivalent to its input by construction.

Assumptions & free parameters 3 free parameters · 7 assumptions · 0 invented entities

The central B-field inference rests on a chain of external models (Lobanov and Zensus 1999; Kadler et al. 2004; Ro et al. 2023) and on the authors' own prior speed profile (Ricci et al. 2022). Two investigator-chosen parameters, the injection index q and the electron density index n, directly set the conclusions. No new entities are postulated.

free parameters (3)
  • q (particle injection index) = q ~ -10 (sub-parsec), q close to 0 (parsec)
    Free parameter in the Ro et al. (2023) injection model (Sect. 4.1). q ~ -10 is chosen to reproduce the steep 22-43 GHz spectral index near -2, and q near 0 for the flatter parsec-scale spectrum. This is a model parameter tuned to the observed spectral evolution.
  • n (electron density power-law index) = n = -1 and n = -2 explored
    Assumed power-law index of the electron density N proportional to z^n in Eq. 5 (Sect. 4.3). The paper adopts n = -1 (classical) and n = -2 (no cooling). The derived magnetic field index a depends directly on this choice, giving a in [-0.66, -0.30].
  • Representative brightness temperature slope epsilon = epsilon = -2.4 +/- 0.5
    Representative brightness temperature slope used in Eq. 5, adopted from the fits of the 22, 43, and 86 GHz profiles (Table 3: -2.21 to -2.87). The value is an investigator-chosen representative of these fitted indices.
assumptions (7)
  • domain assumption Synchrotron self-absorbed spectrum model (Eq. A.1) with fixed optically thick index alpha_t = 2.5
    Used to fit the turnover frequency in Sect. 3.5; assumes a homogeneous synchrotron source.
  • domain assumption Lobanov and Zensus (1999) relations for brightness temperature slope in Compton, synchrotron, and adiabatic loss regimes (Eqs. 2-4)
    Used to connect observed epsilon to magnetic field geometry and loss process in Sect. 4.3, assuming jet components are propagating shocks in a conical jet with constant Lorentz factor.
  • domain assumption Constant Lorentz factor in the parabolic region (Eq. 5)
    The Kadler et al. (2004) relation used to derive the magnetic field index a in the collimation region is valid only for constant Gamma. The paper itself flags this as not strictly valid for NGC 315 (Sect. 4.3).
  • domain assumption Speed profile beta(z) from Ricci et al. (2022)
    Used to compute the Doppler factor delta and intrinsic brightness temperature T_int in Sect. 3.4. The profile comes from the authors' own prior modeling of the same source.
  • domain assumption Viewing angle theta = 38 degrees
    Adopted from Giovannini et al. (2001), Boccardi et al. (2021), and Ricci et al. (2022) in Sect. 1. It converts projected distances to deprojected z and sets delta.
  • domain assumption Ro et al. (2023) injection model for spectral index evolution with q
    Used in Sect. 4.1 to interpret the steep spectrum; the model was developed for M 87 and the paper notes the two jets are largely similar.
  • domain assumption Cawthorne (1991) formula B(d) = C0 nu_br^5 d^4 I0^-2 (Eq. 6)
    Used in Sect. 4.3 to derive B(z) from turnover frequency; the result is inconsistent with other methods and the paper argues the formula is incomplete for bulk flow analysis.

how reviews work

0 comments
Cite this review

Pith. "Pith review of Spectral and magnetic properties of the jet base in NGC 315." pith.science (2026). https://pith.science/paper/KPCEANFM

@misc{pith2026241119126,
  author       = {Pith},
  title        = {Pith review of: Spectral and magnetic properties of the jet base in NGC 315},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/KPCEANFM}},
  note         = {Machine review of arXiv:2411.19126}
}
abstract

The dynamic of relativistic jets in the inner parsec regions is deeply affected by the nature of the magnetic fields. The level of magnetization of the plasma, as well as the geometry of these fields on compact scales, have not yet been fully constrained. In this paper we employ multi-frequency and multi-epoch very long baseline interferometry observations of the nearby radio galaxy NGC 315. We aim to derive insights into the magnetic field properties on sub-parsec and parsec scales by examining observational signatures such as the spectral index, synchrotron turnover frequency, and brightness temperature profiles. This analysis is performed by considering the properties of the jet acceleration and collimation zone, which can be probed thanks to the source vicinity, as well as the inner part of the jet conical region. We observe remarkably steep values for the spectral index on sub-parsec scales ($\alpha \sim -2$, $S_\nu \propto \nu^\alpha$) which flatten around $\alpha \sim -0.8$ on parsec scales. We suggest that the observed steep values may result from particles being accelerated via diffusive shock acceleration mechanisms in magnetized plasma and subsequently experiencing cooling through synchrotron losses. The brightness temperature of the 43 GHz cores indicates a dominance of the magnetic energy at the jet base, while the cores at progressively lower frequencies reveal a gradual transition towards equipartition. Based on the spectral index and brightness temperature along the incoming jet, and by employing theoretical models, we derive that the magnetic field strength has a close-to-linear dependence with distance going from parsec scales up to the jet apex. Overall, our findings are consistent with a toroidal-dominated magnetic field on all the analyzed scales.

Figures

Figures reproduced from arXiv: 2411.19126 by the authors.

Figure 1
Figure 1. Remarkably, epoch October 2021 shows hints of a strat￾2 https://science.nrao.edu/facilities/vlba/ data-processing/7mm-performance-2021 1 0 1 2 3 4 Relative right ascension [mas] 1 0 1 2 3 4 Relative declination [mas] 10 3 10 2 10 1 Brightness [Jy/beam] 0 2 4 6 Relative right ascension [mas] 1 0 1 2 3 4 5 6 Relative declination [mas] 10 3 10 2 10 1 Brightness [Jy/beam] 0 2 4 6 Relative right ascension [mas] 0 2 4 6 8… view at source ↗
Figure 2
Figure 2. Core position as a function of frequency for the two different data sets: i) the multi-frequency VLBA data set (orange points); ii) the multi-frequency and multi-epoch data set presented in Boccardi et al. (2021) (blue points). The blue line represents the best-fit values pre￾sented in Boccardi et al. (2021), the orange line traces the best-fit per￾formed in this paper by employing all the data, and the purple line … view at source ↗
Figure 3
Figure 3. Left panel: stacked image at 43 GHz created using four different epochs, each restored with a common circular beam. Right panel: jet width (d) as a function of the de-projected distance from the core (z), based on the analysis of the super-resolved stacked image. The minimum jet width, observed at 0.008 ± 0.008 pc = 41 ± 41 RS, may pinpoint the position of the black hole. 0 20 40 Relative right ascension [mas] 10 0 … view at source ↗
Figures from the paper (5 more)
Figure 4
Figure 4. Figure 4: Spectral index maps between different pairs of frequencies. Top panel starting from the left: (1.4-2.3) GHz, (2.3-5.0) GHz, and (5.0- 8.4) GHz. Lower panel starting from the left: (8.4-15.3) GHz, (15.3-22.2) GHz, and (22.2-43.0) GHz. The contours trace the total intens…
Figure 5
Figure 5. Figure 5: Average spectral index as a function of distance from the 43 GHz core for different pairs of frequencies. In addition to the VLBA data set here presented, we re-present for comparison the 22-43 GHz spectral index values for the two epochs presented by Ricci et al. (202…
Figure 6
Figure 6. Figure 6: Intrinsic brightness temperature profiles of the Gaussian component at different frequencies. The horizontal dashed lines represent the median equipartition brightness temperature derived from sample studies, Tb = 5 × 1010 K, and the upper limit Tb = 1011 K. Left panel…
Figure 7
Figure 7. Figure 7: Left panel: turnover frequency for each pixel obtained by fitting the synchrotron spectrum across five frequencies between 5 and 43 GHz. The constant turnover values in the direction perpendicular to the jet propagation point out that the transversal structure is not r…
Figure 8
Figure 8. Figure 8: Turnover frequency along the ridgeline as a function of distance from the 43 GHz core. The multiple data points at the same distance are from the different possible core-shift configurations. The orange points represent the upper boundary, while the green ones the lowe…

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Shaping Outflows and Jets by Ambient Pressure: a Unified Framework

    astro-ph.SR 2024-11 reject novelty 5.0 of 10

    A de Laval nozzle model with a fitted ambient pressure power law reproduces the shapes of four astrophysical outflows, with best-fit exponents near -2, but the universal exponent is a fit summary rather than a derived...

Reference graph

Works this paper leans on

60 extracted references · 24 canonical work pages · cited by 1 Pith paper

  1. [1]

    & Nakamura, M

    Asada, K. & Nakamura, M. 2012, ApJ, 745, L28 Astropy Collaboration, Price-Whelan, A. M., Lim, P. L., et al. 2022, ApJ, 935, 167 Astropy Collaboration, Price-Whelan, A. M., Sip˝ocz, B. M., et al. 2018, AJ, 156, 123 Astropy Collaboration, Robitaille, T. P., Tollerud, E. J., et al. 2013, A&A, 558, A33

  2. [2]

    K., Ros, E., Kadler, M., et al

    Baczko, A. K., Ros, E., Kadler, M., et al. 2022, A&A, 658, A119

  3. [3]

    K., Schulz, R., Kadler, M., et al

    Baczko, A. K., Schulz, R., Kadler, M., et al. 2016, A&A, 593, A47

  4. [4]

    & Eichler, D

    Blandford, R. & Eichler, D. 1987, Phys. Rep., 154, 1

  5. [5]

    2019, ARA&A, 57, 467

    Blandford, R., Meier, D., & Readhead, A. 2019, ARA&A, 57, 467

  6. [6]

    Blandford, R. D. & Königl, A. 1979, ApJ, 232, 34

  7. [7]

    Blandford, R. D. & Znajek, R. L. 1977, MNRAS, 179, 433

  8. [8]

    2021, A&A, 647, A67

    Boccardi, B., Perucho, M., Casadio, C., et al. 2021, A&A, 647, A67

Show all 60 references
  1. [9]

    D., Walsh, J

    Boizelle, B. D., Walsh, J. L., Barth, A. J., et al. 2021, ApJ, 908, 19

  2. [10]

    C., Dexter, J., Marko ff, S., Rao, R., & Plambeck, R

    Bower, G. C., Dexter, J., Marko ff, S., Rao, R., & Plambeck, R. L. 2017, ApJ, 843, L31

  3. [11]

    Cawthorne, T. V . 1991, in Beams and Jets in Astrophysics, V ol. 19, 187

  4. [12]

    Fanaroff, B. L. & Riley, J. M. 1974, MNRAS, 167, 31P

  5. [13]

    M., Fuhrmann, L., & Perucho, M

    Fromm, C. M., Fuhrmann, L., & Perucho, M. 2015, A&A, 580, A94

  6. [14]

    M., Ros, E., Perucho, M., et al

    Fromm, C. M., Ros, E., Perucho, M., et al. 2013, A&A, 557, A105

  7. [15]

    L., Martí, J

    Fuentes, A., Gómez, J. L., Martí, J. M., & Perucho, M. 2018, ApJ, 860, 121

  8. [16]

    D., Feretti, L., Lara, L., & Venturi, T

    Giovannini, G., Cotton, W. D., Feretti, L., Lara, L., & Venturi, T. 2001, ApJ, 552, 508

  9. [17]

    Greisen, E. W. 1990, in Acquisition, Processing and Archiving of Astronomical Images, 125–142

  10. [18]

    2011, Nature, 477, 185

    Hada, K., Doi, A., Kino, M., et al. 2011, Nature, 477, 185

  11. [19]

    F., Aller, H

    Hovatta, T., Aller, M. F., Aller, H. D., et al. 2014, AJ, 147, 143

  12. [20]

    P., Falcke, H., & Zensus, J

    Kadler, M., Ros, E., Lobanov, A. P., Falcke, H., & Zensus, J. A. 2004, A&A, 426, 481

  13. [21]

    Kardashev, N. S. 1962, Soviet Ast., 6, 317

  14. [22]

    Kellermann, K. I. & Pauliny-Toth, I. I. K. 1969, ApJ, 155, L71

  15. [23]

    2024, ApJ, 973, 100

    Kino, M., Ro, H., Takahashi, M., et al. 2024, ApJ, 973, 100

  16. [24]

    R., et al

    Komatsu, E., Dunkley, J., Nolta, M. R., et al. 2009, ApJS, 180, 330

  17. [25]

    Komissarov, S. S. 2012, MNRAS, 422, 326

  18. [26]

    S., Barkov, M

    Komissarov, S. S., Barkov, M. V ., Vlahakis, N., & Königl, A. 2007, MNRAS, 380, 51

  19. [27]

    Y ., Pushkarev, A

    Kovalev, Y . Y ., Pushkarev, A. B., Nokhrina, E. E., et al. 2020, MNRAS, 495, 3576 Lähteenmäki, A. & Valtaoja, E. 1999, ApJ, 521, 493

  20. [28]

    A., Canvin, J

    Laing, R. A., Canvin, J. R., Cotton, W. D., & Bridle, A. H. 2006, MNRAS, 368, 48

  21. [29]

    L., Aller, M

    Lister, M. L., Aller, M. F., Aller, H. D., et al. 2018, ApJS, 234, 12

  22. [30]

    L., Homan, D

    Lister, M. L., Homan, D. C., Hovatta, T., et al. 2019, ApJ, 874, 43

  23. [31]

    Lobanov, A. P. 1998, A&AS, 132, 261

  24. [32]

    Lobanov, A. P. & Zensus, J. A. 1999, ApJ, 521, 509

  25. [33]

    Loureiro, N. F. & Uzdensky, D. A. 2016, Plasma Physics and Controlled Fusion, 58, 014021

  26. [34]

    P., et al

    Lu, R.-S., Asada, K., Krichbaum, T. P., et al. 2023, Nature, 616, 686

  27. [35]

    Marscher, A. P. & Gear, W. K. 1985, ApJ, 298, 114

  28. [36]

    P., Jorstad, S

    Marscher, A. P., Jorstad, S. G., D’Arcangelo, F. D., et al. 2008, Nature, 452, 966

  29. [37]

    2023, MNRAS, 526, 5418

    Meenakshi, M., Mukherjee, D., Bodo, G., & Rossi, P. 2023, MNRAS, 526, 5418

  30. [38]

    Lobanov, A. P. 2023, arXiv e-prints, arXiv:2307.11660 O’Sullivan, S. P. & Gabuzda, D. C. 2009, MNRAS, 400, 26

  31. [39]

    Pacholczyk, A. G. 1970, Radio astrophysics. Nonthermal processes in galactic and extragalactic sources

  32. [40]

    2024, ApJ, 973, L45

    Park, J., Zhao, G.-Y ., Nakamura, M., et al. 2024, ApJ, 973, L45

  33. [41]

    B., Kovalev, Y

    Pushkarev, A. B., Kovalev, Y . Y ., Lister, M. L., et al. 2017, Galaxies, 5, 93

  34. [42]

    Readhead, A. C. S. 1994, ApJ, 426, 51

  35. [43]

    2022, A&A, 664, A166

    Ricci, L., Boccardi, B., Nokhrina, E., et al. 2022, A&A, 664, A166

  36. [44]

    M., & Boccardi, B

    Ricci, L., Perucho, M., López-Miralles, J., Martí, J. M., & Boccardi, B. 2024, A&A, 683, A235

  37. [45]

    Rieger, F. M. & Duffy, P. 2019, ApJ, 886, L26

  38. [46]

    Rieger, F. M. & Levinson, A. 2018, Galaxies, 6, 116

  39. [47]

    2019, MNRAS, 485, 299

    Ripperda, B., Porth, O., Sironi, L., & Keppens, R. 2019, MNRAS, 485, 299

  40. [48]

    W., et al

    Ro, H., Kino, M., Sohn, B. W., et al. 2023, arXiv e-prints, arXiv:2303.01014

  41. [49]

    K., Lobanov, A

    Schinzel, F. K., Lobanov, A. P., Taylor, G. B., et al. 2012, A&A, 537, A70

  42. [50]

    2023, ApJ, 944, 199

    Seo, J., Ryu, D., & Kang, H. 2023, ApJ, 944, 199

  43. [51]

    Shepherd, M. C. 1997, in Astronomical Society of the Pacific Conference Series, V ol. 125, Astronomical Data Analysis Software and Systems VI, ed. G. Hunt & H. Payne, 77

  44. [52]

    Singal, A. K. 2009, ApJ, 703, L109

  45. [53]

    2016, MNRAS, 462, 48

    Sironi, L., Giannios, D., & Petropoulou, M. 2016, MNRAS, 462, 48

  46. [54]

    & Spitkovsky, A

    Sironi, L. & Spitkovsky, A. 2009, ApJ, 698, 1523

  47. [55]

    & Spitkovsky, A

    Sironi, L. & Spitkovsky, A. 2011, ApJ, 726, 75

  48. [56]

    & Spitkovsky, A

    Sironi, L. & Spitkovsky, A. 2014, ApJ, 783, L21

  49. [57]

    D., Bykov, A

    Sokoloff, D. D., Bykov, A. A., Shukurov, A., et al. 1998, MNRAS, 299, 189

  50. [58]

    C., Faber, S

    Trager, S. C., Faber, S. M., Worthey, G., & González, J. J. 2000, AJ, 119, 1645

  51. [59]

    & Königl, A

    Vlahakis, N. & Königl, A. 2004, ApJ, 605, 656 Acknowledgements. The authors would like to thank the referee for the insightful comments which improved the manuscript. The authors thank Christian Fromm for its support in discussions on the results. LR is funded by the Deutsche ...

  52. [60]

    All the parameters are left to vary freely

    Here, I0 is the flux density at the turnover,νbr is the turnover fre- quency,αt is the spectral index of the optically thick region, and α of the optically thin one. All the parameters are left to vary freely. Shown as a blue line in Fig. A.1, the flux density depen- dence on ...

Pith tools

Reviewed August 12, 2026 · model on record in the stance chip above.