SuperMIGHTEE : Spectral Ages of Remnant Radio Galaxy Candidates in the XMM-LSS Field

Catherine Hale; C.H. Ishwara Chandra; Lucia Marchetti; Mattia Vaccari; Matt Jarvis; Russ Taylor; Solohery Randriamampandry; Sushant Dutta; Veeresh Singh; Yogesh Wadadekar

REVIEW 2 major objections 5 minor 219 references

SuperMIGHTEE : Spectral Ages of Remnant Radio Galaxy Candidates in the XMM-LSS Field

T0 review · 2 major / 5 minor · reviewed 2026-07-14 · grok-4.5

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Pith's one-line read Spectral modelling of deep multi-frequency radio data confirms 12 faint high-redshift remnant radio galaxies with short ages of roughly 8–42 Myr, showing the remnant phase can be brief and dynamic.

desk verdict Solid multi-frequency spectral-ageing paper that cleanly confirms 12 high-z remnants with short ages; main systematic is the usual B-field scaling, already flagged. read the letter →

arxiv 2607.09920 v1 pith:CHSYUQI5 submitted 2026-07-10 astro-ph.GA

Sushant Dutta , Veeresh Singh , C.H. Ishwara Chandra , Yogesh Wadadekar , Russ Taylor , Mattia Vaccari , Lucia Marchetti , Matt Jarvis

show 3 more authors

Catherine Hale Solohery Randriamampandry Zara Randriamanakoto

This is my paper · ORCID

classification astro-ph.GA

keywords remnantradiogalaxiesspectralageingAGNdutycyclesMeerKATMIGHTEEuGMRTsuperinverse-ComptonlossescontinuumsurveysXMM-LSS

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

Remnant radio galaxies are sources whose jets have switched off, so their lobes fade without fresh particle injection. This paper takes 14 candidates in the XMM-LSS field and models their radio spectra from 144 MHz to 1.5 GHz using new MeerKAT and uGMRT data together with archival LOFAR, GMRT and JVLA observations. Continuous-injection-off models fit 12 of the sources as true remnants while reclassifying two as still active, underscoring that sparse frequency coverage can mislead. The confirmed remnants have total spectral ages of only 8–42 Myr (median about 12 Myr) and remnant-to-total age ratios that range from 0.04 to 0.83. The short ages are attributed mainly to stronger inverse-Compton losses at the sample’s higher redshifts (median z = 1.25) and to rapid expansion in low-density environments. Pixel-based age maps agree with the integrated fits and reveal ordered gradients in the larger sources. Together the results point to a previously under-sampled population of faint, rapidly fading remnants whose duty cycles are shorter and more varied than those of the classical low-redshift examples.

What carries the argument

Continuous-injection-off (CI_OFF / KGJP) spectral modelling in BRATS, supplied with magnetic fields set to 0.4 times the equipartition values returned by PySynch under assumed source geometries, which simultaneously yields the low- and high-frequency breaks, the active lifetime t_ON, the remnant lifetime t_OFF and the total age t_s.

What would settle it

Independent X-ray inverse-Compton measurements of lobe magnetic fields for the same sources that differ by more than ~35 percent from the adopted 0.4 B_eq values would systematically shift the derived spectral ages and t_OFF/t_s ratios outside the reported ranges.

Watch

Extended reading notes

Core claim

Of 14 morphologically and spectrally selected remnant candidates, continuous-injection-off modelling of 144 MHz–1.5 GHz SEDs confirms 12 as genuine remnants with total spectral ages 8.06–41.97 Myr (median ~12 Myr) and remnant-to-total age fractions spanning 0.04–0.83; the remaining two sources are better described by continuous injection and are therefore still active. Pixel-resolved JP-Tribble age maps yield consistent ages (~3–43 Myr). The short ages are interpreted as the product of enhanced inverse-Compton losses at median redshift 1.25 and rapid lobe expansion in non-cluster environments, revealing a faint, high-redshift remnant population that fades faster than previously studied class

Load-bearing premise

All ages rest on magnetic-field strengths fixed at 0.4 times the equipartition value calculated for assumed source shapes, with no formal uncertainties returned by the code; any systematic offset in that field directly rescales every age and every remnant-to-total ratio.

Editorial extensions

If this is right

Sensitive multi-frequency coverage from 144 MHz to 1.5 GHz is required to avoid misclassifying still-active sources as remnants.
Faint high-redshift remnants can have active and remnant phases of only a few to a few tens of Myr, implying shorter AGN duty cycles than those of classical low-z samples.
Remnant-to-total age ratios from 0.04 to 0.83 show that the population spans the full range from recently switched-off to long-lived relics.
Pixel-based age maps that match integrated ages provide a practical route to constrain lobe dynamics and back-flow even after jet cessation.
Deep SKA continuum surveys will uncover large numbers of such faint, short-lived remnants and can use the same modelling framework to map AGN life cycles.

Reading between the lines

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

If inverse-Compton losses dominate at z ≳ 1, the observable remnant fraction should fall with redshift even if the intrinsic switch-off rate stays constant, offering a direct prediction for SKA number counts.
The lack of a clear size–age correlation in low-density environments suggests expansion speed or ambient density variations can erase the classical age–size trend once jets turn off.
Sources with t_OFF/t_s near unity may be the progenitors of double-double radio galaxies if a subsequent jet episode restarts before the old lobes fade completely.

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Editorial analysis

A structured set of objections, weighed in public.

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

Desk Editor's Note

read the letter

This is a clean observational advance. New MIGHTEE + superMIGHTEE fluxes (plus LOFAR/GMRT/JVLA) give six-frequency SEDs for 14 previously published remnant candidates in XMM-LSS. CI_OFF modelling confirms 12 as genuine remnants with total ages 8–42 Myr (median ~12 Myr) and t_OFF/t_s spanning 0.04–0.83; two sources are reclassified as still active. Pixel-based JP-Tribble maps agree with the integrated ages. That is the real result: a faint, higher-redshift (median z=1.25) population that fades faster than the classical low-z remnants, consistent with stronger IC losses.

What they do well is transparent. Reduced χ^{2} near unity, injection indices in the expected range, and the reclassifications are shown openly rather than buried. The sample is small but the multi-frequency coverage is dense enough that the remnant/active distinction is credible. Citation pattern is normal; earlier candidate lists supply the input sample but do not force the ages.

Soft spots are the standard ones for this technique, not hidden flaws. Magnetic field is fixed at 0.4 B_eq from PySynch under assumed geometries, with no formal uncertainties returned by the code; ages scale with that choice. Adiabatic expansion is ignored. Both are acknowledged and common in the literature. No size–age correlation appears, which they attribute to environment and redshift; that interpretation is plausible but not tightly constrained by N=12. Nothing load-bearing is broken.

This is for people working on AGN duty cycles, remnant fractions, or SKA-era classification. It supplies useful numbers and a practical template rather than a new method. I would send it to referees; the data and modelling are solid enough to deserve the discussion. Worth citing if you need high-z remnant ages or a cautionary example of how sparse SEDs misclassify sources.

Referee Report

2 major / 5 minor

Summary. The paper presents a spectral-ageing analysis of 14 remnant radio-galaxy candidates in the XMM-LSS field, using new MeerKAT MIGHTEE (1.284 GHz) and uGMRT superMIGHTEE (band-3/4) data together with LOFAR, GMRT and JVLA coverage spanning 144 MHz–1.5 GHz. Continuous-injection-off (CI_OFF/KGJP) modelling of the integrated SEDs reclassifies 12 sources as genuine remnants and two as still active; total spectral ages fall in the range ~8–42 Myr (median ~12 Myr) with t_OFF/t_s ratios spanning 0.04–0.83. Pixel-based JP-Tribble age maps are broadly consistent with the integrated ages. The short ages are attributed to enhanced inverse-Compton losses at the sample’s relatively high redshifts (median z = 1.25) and to possible rapid expansion in low-density environments, revealing a faint, rapidly fading remnant population that will be relevant for forthcoming SKA surveys.

Significance. If the ages and remnant classifications hold, the work supplies one of the first well-sampled multi-frequency characterisations of faint, high-redshift remnant radio galaxies and demonstrates that the remnant phase can be both short and dynamically diverse. The transparent reclassification of two candidates underscores the necessity of dense frequency coverage, while the consistency between integrated CI_OFF ages and spatially resolved JP-Tribble maps strengthens confidence in the derived timescales. The study therefore provides a useful empirical framework for AGN duty-cycle constraints and a practical template for remnant searches with SKA-pathfinder and SKA continuum surveys.

major comments (2)

Section 4.2 and Table 3: magnetic-field strengths are fixed at 0.4 B_eq with geometries assumed spherical/cylindrical/ellipsoidal and no formal uncertainties returned by PySynch. Because spectral age scales as B^{0.5}/(B^{2} + B_CMB^{2}) (Eq. 2), any systematic offset in B rescales all ages and t_OFF/t_s ratios. A brief sensitivity test (e.g., B = 0.3–1.0 B_eq or a Monte-Carlo draw around the adopted scaling) would quantify how robust the claimed short-age population remains under this dominant systematic.
Section 4.1 and Eq. (2): the radiative-loss formulae neglect adiabatic expansion. For the compact, high-z sources that dominate the sample this omission may be non-negligible; a short discussion of the expected bias (or an order-of-magnitude estimate of expansion losses) would clarify whether the reported ages are lower limits and how that affects the interpretation of a ‘rapidly fading’ population.

minor comments (5)

Table 4: the two sources modelled with CI_ON are marked only by an asterisk; a clearer column or footnote stating ‘active / remnant’ would improve readability.
Figure 2 / Figure 3 captions: the contour levels and beam size are repeated for every panel; a single global statement would reduce redundancy.
Section 5: the statement that image-plane smoothing is ‘mathematically equivalent’ to u–v tapering is correct in principle, but a brief note that the effective weighting function is not identical to a standard Gaussian taper would avoid possible confusion for readers who re-image the data.
Table 5: source names occasionally differ by a few arcseconds from those in Tables 2–4 (e.g., J022106-043925 vs J022106-043928); consistent naming would prevent matching errors.
Abstract and Section 6: the phrase ‘previously underrepresented population’ is repeated; a single, precise formulation would suffice.

Circularity Check

1 steps flagged · score 1.0 of 10

No significant circularity: spectral ages are obtained by fitting standard CI_OFF/JP-Tribble models to independent multi-frequency fluxes; self-citations only supply the input candidate list.

self citation load bearing [Section 3 (The Sample) and Section 6 (Results)]
"Our sample consists of 14 remnant candidates which are gleaned from our previous studies (Singh et al. 2021; Dutta et al. 2023). ... These two sources were originally classified as remnant candidates by Singh et al. (2021) based on radio SEDs with only three (150 MHz, 325 MHz and 1.4 GHz) data points. Their re-classification here as active systems underscores the critical role of sensitive, broad-band, multi-frequency radio observations"

The input list of 14 candidates is taken entirely from the authors' own earlier papers. This is ordinary sample construction, not circular derivation of ages: the new multi-frequency SEDs and BRATS fits independently re-evaluate (and in two cases overturn) the prior classifications. The self-citation is therefore not load-bearing for the spectral-age results themselves.

full rationale

The paper's central results (12/14 sources confirmed as remnants, ts ~ 8-42 Myr, t_OFF/ts spanning 0.04-0.83) are produced by fitting the continuous-injection-off (CI_OFF/KGJP) and JP-Tribble models in BRATS to observed flux densities at six frequencies (144 MHz-1.5 GHz). Break frequencies and ages follow from the standard radiative-loss formula (Eq. 2) once B = 0.4 B_eq and alpha_inj are supplied; those inputs are either measured (fluxes, redshifts, sizes) or taken from conventional assumptions (equipartition scaling, literature range for alpha_inj). The two reclassifications as active are transparent outcomes of the same fitting procedure. Self-citations to Singh et al. (2021) and Dutta et al. (2023) define the parent sample of candidates but do not enter the age calculation or force the remnant/active classification. No equation reduces a claimed age or ratio to a fitted parameter by construction, and no uniqueness theorem or ansatz is imported from the authors' prior work to forbid alternatives. The only minor self-reference is the reuse of two previously studied sources whose ages are re-derived with new data; this is ordinary scientific practice and does not load-bear the new claims. Score 1 reflects that single, non-load-bearing self-citation chain.

Assumptions & free parameters 3 free parameters · 4 assumptions · 0 invented entities

Central ages rest on standard synchrotron ageing formulae, the continuous-injection-off model, and the conventional 0.4 B_eq magnetic-field scaling. No new physical entities are introduced; free parameters are the usual injection indices and geometric assumptions required by equipartition calculations.

free parameters (3)

injection index α_inj = -0.53 to -0.68
Treated as a free parameter in BRATS findinject; fitted values range from -0.53 to -0.68 (Table 4).
magnetic-field scaling factor = 0.4
Fixed at 0.4 imes B_eq following Croston et al. (2005); not fitted but chosen by hand and directly rescales all ages.
source geometry (sphere/cylinder/ellipsoid)
Chosen per source to compute volume and B_eq with PySynch (Table 3); different geometries change B and therefore age.

assumptions (4)

domain assumption Synchrotron and inverse-Compton losses dominate; adiabatic expansion losses are neglected in the age formula (Eq. 2).
Standard in spectral-ageing literature; stated in Section 4.1.
domain assumption Magnetic field is uniform (or locally varying only as in the Tribble model) and equal to 0.4 times the equipartition value.
Section 4.2; justified by X-ray lobe studies but remains an assumption.
domain assumption Continuous-injection-off (CI_OFF / KGJP) model correctly describes the electron energy distribution after jet cessation.
Section 4.4; two sources preferred CI_ON, validating the model-selection step.
domain assumption Host-galaxy redshifts (photometric or spectroscopic) correctly place the sources for luminosity and B_CMB calculations.
Table 2; photometric redshifts carry larger uncertainties that propagate into ages.

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Cite this review

Pith. "Pith review of SuperMIGHTEE : Spectral Ages of Remnant Radio Galaxy Candidates in the XMM-LSS Field." pith.science (2026). https://pith.science/paper/CHSYUQI5

@misc{pith2026260709920,
  author       = {Pith},
  title        = {Pith review of: SuperMIGHTEE : Spectral Ages of Remnant Radio Galaxy Candidates in the XMM-LSS Field},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/CHSYUQI5}},
  note         = {Machine review of arXiv:2607.09920}
}

read the original abstract

Remnant radio galaxies, whose lobes are no longer replenished by jets from the active galactic nucleus (AGN), offer key constraints on AGN duty cycles and the timescales of radio jets. We present a spectral-ageing study of 14 candidate remnant radio galaxies in the XMM-LSS field, combining new broad-band data from the MeerKAT MIGHTEE (L-band) and uGMRT superMIGHTEE (band-3 and band-4) surveys with complementary observations from LOFAR, GMRT, and JVLA, covering 144 MHz-1.5 GHz. Spectral modeling confirms 12 sources as genuine remnants, while two are reclassified as active, emphasising the importance of sensitive, multi-frequency coverage for robust remnant identification. Pixel-based spectral age maps yield results (~3-43 Myr) broadly consistent with integrated estimates, revealing relatively short spectral ages (~8-42 Myr). These ages likely reflect enhanced inverse-Compton losses at higher redshifts (0.35 < z < 2.85; median z = 1.25) and possible rapid lobe expansion in low-density environments. The ratios of remnant to total source ages (t_OFF}/t_s) span 0.04-0.83, indicating that the sample traces a broad range of evolutionary stages. Our findings reveal a previously underrepresented population of faint, rapidly fading remnants, suggesting that the remnant phase may be shorter and more dynamic than previously thought. This study highlights the crucial role of MIGHTEE and superMIGHTEE surveys in reliably classifying genuine remnants and provides a framework for constraining AGN life cycles in preparation for forthcoming SKA surveys.

Figures

Figures reproduced from arXiv: 2607.09920 by the authors.

**Figure 1.** Footprints of different radio surveys. The positions of remnant candidates are marked with ‘+’ symbols. mosaic in the XMM-LSS (see footprints in [PITH_FULL_IMAGE:figures/full_fig_p003_1.png] view at source ↗

**Figure 2.** Left Panel : Band-3 (in green) uGMRT and 1.284 GHz (in red) MeerKAT radio contours overplotted onto the grey-scale HSC-SSP i−band image. The radio contour levels are at 3σ × (1, 2, 4, 8, 16 ...) and the corresponding optical image is logarithmically scaled. The magenta cross is the position of the potential host galaxy. Only 12/14 genuine remnant sources are shown in this figure. Middle panel : Best fit radio SEDs o… view at source ↗

**Figure 3.** Left Panel : Band-3 (in green) uGMRT and 1.284 GHz (in red) MeerKAT radio contours overplotted onto the grey-scale HSC-SSP i−band image. The radio contour levels are at 3σ × (1, 2, 4, 8, 16 ...) and the corresponding optical image is logarithmically scaled. The magenta cross is the position of the potential host galaxy. Only 02/14 active sources are shown in this figure. Middle panel : Best fit radio SEDs obtained b… view at source ↗

Figures from the paper (4 more)

**Figure 4.** Figure 4 [PITH_FULL_IMAGE:figures/full_fig_p013_4.png]

**Figure 5.** Figure 5: A diagnostic plot of total physical size at 1.284 GHz versus spectral age of our sources using CIOFF model. We compare the spectral ages of our sample with those of remnant sources reported in the literature. The scatter plot is colour coded by median redshift values…

**Figure 6.** Figure 6: Plot of total source age ts versus fractional remnant timescale (tOFF/ts). The vertical color bar indicates the redshifts of remnant hosts. main detectable at higher redshifts, while intrinsically fainter systems fall below the survey sensitivity limit. As discussed i…

**Figure 8.** Figure 8: Comparison of two spectral ageing models applied to the sample. The dashed line shows the best-fitting linear relation (linear correlation = 0.96) used to assess the consistency between the models. The data points are colour coded according to their reduced χ 2 values.…

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