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arxiv: 2606.26998 · v1 · pith:AISEBKRNnew · submitted 2026-06-25 · 🌌 astro-ph.HE

Exploring Tidal Disruption Events with SKA and VLBI: Unveiling the Mystery of Black Hole Feeding and Outflows

Pith reviewed 2026-06-26 03:58 UTC · model grok-4.3

classification 🌌 astro-ph.HE
keywords tidal disruption eventsSKAVLBIblack hole jetsradio outflowsproper motionpolarimetrynuclear localization
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The pith

SKA Mid phased for VLBI will measure proper motions in tidal disruption events to distinguish relativistic jets from subrelativistic winds at a rate of about five detections per year.

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

The paper argues that SKA Mid, when used in VLBI mode with global networks, supplies milliarcsecond imaging, tens of microarcsecond astrometry, and microJy sensitivity needed to track radio-emitting outflows from tidal disruption events. These capabilities would separate off-axis jets from slower winds, map magnetic field structures through polarimetry, and pin down the exact location of the disrupted star relative to the black hole. With optical and X-ray surveys expected to deliver hundreds of TDE alerts annually and late-time radio flares appearing common, the setup would yield routine samples for studying black hole accretion and jet launching on human timescales.

Core claim

SKA Mid phased for VLBI delivers milliarcsecond imaging, tens of microarcsecond astrometry, and microJy sensitivity that enable proper motion measurements to discriminate off-axis relativistic jets from subrelativistic winds, resolved morphologies and magnetic field diagnostics via polarimetry, and precise nuclear localization to distinguish supermassive from intermediate-mass black holes or to reveal recoiling or binary systems, with a forecast of about five proper motion detections of jetted TDEs per year.

What carries the argument

SKA Mid phased for VLBI, using wide frequency coverage from 0.35 to 15.4 GHz, 1-hour continuum sensitivities of 3 to 10 microJy per beam, multibeam tied-array VLBI, and a transient buffer for rapid triggers.

If this is right

  • Proper motion measurements will discriminate off-axis relativistic jets from subrelativistic winds in TDEs.
  • Resolved morphologies and magnetic field diagnostics will become available via polarimetry.
  • Precise nuclear localization will distinguish supermassive black holes from intermediate-mass black holes and reveal recoiling or binary systems.
  • Routine core shift constraints at the microarcsecond level will constrain jet structure.
  • TDEs will serve as laboratories for jet launching, particle acceleration including neutrinos, black hole accretion history, and circumnuclear medium properties.

Where Pith is reading between the lines

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

  • The same VLBI astrometry could be applied to test whether TDE rates correlate with galaxy merger histories in large samples.
  • Coordinated radio and neutrino observations might reveal whether TDE jets accelerate high-energy particles at detectable levels.
  • If binary black hole systems are localized, the technique could provide targets for future gravitational wave searches.
  • Extending the frequency coverage to lower bands might map larger-scale outflow interactions with the host galaxy interstellar medium.

Load-bearing premise

Late-time radio flares are common in TDEs and that LSST, Einstein Probe, and SVOM will increase TDE alerts to hundreds per year, together with the jet and outflow models used for the detection forecasts.

What would settle it

A two-year campaign on a sample of 50 TDE radio flares yielding zero proper motion detections at the forecasted sensitivity would falsify the claim of about five detections per year.

Figures

Figures reproduced from arXiv: 2606.26998 by Chichuan Jin, Guobin Mou, Jun Yang, Luming Sun, Miguel Perez-Torres, Ning Jiang, S. Komossa, Tao An, Tinggui Wang, Weihua Lei, Xinwen Shu.

Figure 1
Figure 1. Figure 1: The left panels show the near-infrared outburst of the TDE Arp 299-B AT1 (B and C) and the color-composite optical image of its host galaxy (A). The evolution of the radio morphology as imaged with VLBI at 8.4 GHz (Mattila et al., 2018) is shown in panel D. It can be seen that an initially unresolved radio source develops into a resolved jet structure a few years after the explosion, which is viewed with a… view at source ↗
Figure 2
Figure 2. Figure 2: Natural-weighted images of VLBA observations of AT2018cqh at three frequencies (upper panel), which reveal a compact radio emission, unresolved at a scale of < ∼ 0.13 pc (Yang et al., 2025). Lower panel shows the radio light curves at 0.89 GHz, 1.3-1.6 GHz and 3 GHz (left), and the radio SEDs over three epochs (right). The green, orange, and blue lines represent the best fits to each SED, which are the mod… view at source ↗
Figure 3
Figure 3. Figure 3: The left panels show the snapshots of gas density and energy density of relativistic electrons during the outflow-CNM/cloud interaction (in Gaussian-cgs units), as well as the synthetic radio spectra (𝑑𝐿 = 100 Mpc). The spectral panel displays both the BS+FS component and the FS component alone, from which the impact and the rapid variability feature of the BS can be observed. The shaded regions represent … view at source ↗
read the original abstract

Tidal disruption events (TDEs) probe the birth and evolution of black hole accretion flows and jets on human timescales. Radio emission traces shocks and outflows from thermal TDEs and powerful relativistic jets in the rare jetted class. SKA Mid, phased for VLBI and used together with global networks, will deliver milliarcsecond imaging, tens of microarcsecond astrometry, and microJy sensitivity, enabling: (i) proper motion measurements that discriminate off axis relativistic jets from subrelativistic winds; (ii) resolved morphologies and magnetic field diagnostics via polarimetry; and (iii) precise nuclear localization to distinguish SMBH vs. IMBH and to reveal recoiling or binary systems. SKA's wide frequency coverage (0.35 to 15.4 GHz) and 1h continuum sensitivities of 3 to 10 microJy per beam, together with multibeam tiedarray VLBI and a transient buffer for rapid triggers, are transformational. LSST, Einstein Probe, and SVOM will increase TDE alerts to hundreds per year, and late time radio flares appear common, ensuring rich SKA VLBI samples. We provide observing strategies, detection forecasts, and predictions, e.g., about 5 proper motion detections of jetted (or off axis) TDEs per year and routine core shift constraints at the microarcsecond level. This program will establish TDEs as laboratories for exploring jet launching, particle acceleration (including neutrinos), black hole accretion history and demographics, and properties of circumnuclear medium.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 0 minor

Summary. The manuscript argues that SKA Mid, when phased for VLBI with global networks, will deliver milliarcsecond imaging, tens of microarcsecond astrometry, and microJy sensitivity, enabling proper-motion measurements to distinguish off-axis relativistic jets from subrelativistic winds in TDEs, resolved morphologies via polarimetry, and precise nuclear localization. It forecasts ~5 proper motion detections of jetted TDEs per year, driven by hundreds of annual TDE alerts from LSST, Einstein Probe, and SVOM together with the assumed commonality of late-time radio flares, and outlines observing strategies and additional predictions such as routine core-shift constraints.

Significance. If the numerical forecasts hold after detailed validation, the work would usefully map SKA-VLBI capabilities onto TDE science questions including jet launching, particle acceleration, and circumnuclear medium properties. The emphasis on proper-motion discrimination and multi-messenger triggering is a concrete strength, though the paper's impact is limited by its dependence on external rate and model assumptions rather than new derivations.

major comments (2)
  1. [Abstract] Abstract: the headline forecast of ~5 proper motion detections per year is presented without any description of the underlying calculation, error propagation, or sensitivity to input parameters such as the fraction of TDEs exhibiting late-time radio flares or the assumed Lorentz-factor distribution of jets.
  2. [Abstract] Abstract: the detection forecasts rely on external literature values for TDE rates, flare incidence, and jet/outflow properties rather than reducing to quantities defined or tested within the manuscript, so that changes in those inputs by factors of a few would alter the annual yield substantially.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the detailed and constructive report. The comments correctly identify that the abstract presents the headline forecast without sufficient context on its derivation. We address both points below and will revise the manuscript accordingly.

read point-by-point responses
  1. Referee: [Abstract] Abstract: the headline forecast of ~5 proper motion detections per year is presented without any description of the underlying calculation, error propagation, or sensitivity to input parameters such as the fraction of TDEs exhibiting late-time radio flares or the assumed Lorentz-factor distribution of jets.

    Authors: We agree that the abstract would be strengthened by brief context on the forecast. In the revised version we will add one sentence summarizing the main inputs (TDE alert rates from LSST/Einstein Probe/SVOM, assumed late-time flare incidence drawn from existing radio follow-up campaigns, and a fiducial jet Lorentz-factor range) and explicitly refer readers to the dedicated forecast section for the full calculation, error propagation, and parameter-sensitivity analysis. revision: yes

  2. Referee: [Abstract] Abstract: the detection forecasts rely on external literature values for TDE rates, flare incidence, and jet/outflow properties rather than reducing to quantities defined or tested within the manuscript, so that changes in those inputs by factors of a few would alter the annual yield substantially.

    Authors: The forecasts necessarily incorporate published TDE rates and outflow statistics because these quantities are not re-derived in the present work. To make the dependence transparent, we will insert a short sensitivity subsection (or paragraph in the forecast section) that shows how the ~5 detections yr⁻¹ figure scales when the flare incidence or Lorentz-factor distribution is varied by factors of 2–3. This addition will quantify the robustness without altering the core science case. revision: yes

Circularity Check

0 steps flagged

No significant circularity; forecasts rest on external inputs

full rationale

The paper's central numerical forecasts (e.g., ~5 proper-motion detections per year) are presented as conditional predictions that explicitly depend on external literature values for TDE alert rates from LSST/Einstein Probe/SVOM, the assumed commonality of late-time radio flares, and specific jet/outflow models. No derivation step reduces by construction to a quantity defined inside the paper, no self-citation is invoked as a uniqueness theorem or load-bearing premise, and no fitted parameter is relabeled as a prediction. The chain is therefore self-contained against external benchmarks rather than tautological.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

Only the abstract is available, so the ledger is necessarily incomplete. The numerical forecasts implicitly rest on assumed TDE occurrence rates, jet opening angles, and radio luminosity functions drawn from earlier papers; no new free parameters or invented entities are introduced in the provided text.

pith-pipeline@v0.9.1-grok · 5852 in / 1139 out tokens · 47324 ms · 2026-06-26T03:58:44.559003+00:00 · methodology

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Reference graph

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