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arxiv: 2605.21840 · v1 · pith:SF75VYB6new · submitted 2026-05-21 · 🌌 astro-ph.GA

Powerful Radio Sources in the Southern Sky. IV. Observations of the G4Jy-3CRE Catalog with the Australian Square Kilometre Array Pathfinder

Siegfried A. Gawenda , Juan P. Madrid , Francesco Massaro , Sara V. White , C.C. Cheung , Chiara Mazzucchelli , Abigail Garc\'ia-P\'erez , I. Andruchow
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Vahram Chavushyan Ralph Kraft Victoria Reynaldi Ana Jimenez-Gallardo Alessandro Capetti Barbara Balmaverde William R. Forman H. A. Pe\~na-Herazo Nicole Nesvadba Sergio A. Cellone Romana Grossov\'a Alessandro Paggi Eleonara Sani C. Leto
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Pith reviewed 2026-05-22 05:33 UTC · model grok-4.3

classification 🌌 astro-ph.GA
keywords radio galaxiesjetsmorphologyASKAPRACSsouthern skyG4Jy-3CREoptical counterparts
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The pith

New ASKAP radio maps classify 173 southern sources as jet-hosting, including 37 that appeared featureless before.

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

The paper reports new continuum observations of the G4Jy-3CRE catalog of 264 bright radio sources selected to match the northern 3CR sample. Using three RACS data releases spanning 600 to 1800 MHz, the authors identify jet-like extended structures in 173 sources, or 66 percent of the sample. Thirty-seven of these jet detections are new because earlier lower-resolution maps showed no such features. The same images permit FRI/FRII morphological classification out to redshift 1.35 and yield six new or clarified optical galaxy matches for sources that were previously unidentified.

Core claim

The RACS surveys supply enough resolution and sensitivity to classify 173 G4Jy-3CRE sources with morphologies indicative of jets, 37 of which showed no jet activity on archival radio maps, while also supporting consistent FRI/FRII typing up to z = 1.35 and providing optical counterparts for six previously ambiguous sources.

What carries the argument

Morphological classification of multi-frequency continuum images to detect extended jet structures and assign FRI or FRII types based on the appearance of those structures.

Load-bearing premise

That the extended radio features visible at 600-1800 MHz are produced by jets and are not heavily distorted by projection effects or resolution limits.

What would settle it

A higher-resolution image or different-frequency observation of one of the 37 newly classified jet sources that shows no extended structure at all.

Figures

Figures reproduced from arXiv: 2605.21840 by Abigail Garc\'ia-P\'erez, Alessandro Capetti, Alessandro Paggi, Ana Jimenez-Gallardo, Barbara Balmaverde, C.C. Cheung, Chiara Mazzucchelli, C. Leto, Eleonara Sani, Francesco Massaro, H. A. Pe\~na-Herazo, I. Andruchow, Juan P. Madrid, Nicole Nesvadba, Ralph Kraft, Romana Grossov\'a, Sara V. White, Sergio A. Cellone, Siegfried A. Gawenda, Vahram Chavushyan, Victoria Reynaldi, William R. Forman.

Figure 1
Figure 1. Figure 1: A comparison of radio contours from NVSS (1400 MHz) and RACS-mid (1367.5 MHz). NVSS has a spatial resolution of approximately 45′′ and RACS-mid has a spatial resolution of 10.1 ′′ × 8.1 ′′ (Condon et al. 1998; Duchesne et al. 2024). The NVSS Radio contours were defined similarly to the other images in the catalog, with the lowest contour level being approximately 5× the background rms and the highest conto… view at source ↗
Figure 2
Figure 2. Figure 2: The six newly identified optical counterparts are marked with a dashed circle in each image. Tag # sources Description FRI 29 Fanaroff-Riley type I FRII 72 Fanaroff-Riley type II FRX 68 An FR I or FR II type galaxy, but data is inadequate to distinguish between them HyMoRS 8 A radio source which is FR I on one side of the host and FR II on the other BT 12 Bent-tail sources. This category includes any FR-ty… view at source ↗
Figure 3
Figure 3. Figure 3: Distribution of AGNs by FR type across redshift and radio luminosity. The classification method we used was effective in classifying sources up to a redshift of z = 1.35. FRII population, their jet lengths range from 129.21 kpc to 1925.65 kpc, with a median length of µ=436.15 kpc, and a standard deviation of σ = 301.62 kpc. Due to the small sample size, it is difficult to iden￾tify a trend with the distrib… view at source ↗
Figure 4
Figure 4. Figure 4: The jet lengths of Fanaroff & Riley AGNs in the G4Jy-3CRE sample. Four FRI sources, nine FRII sources, and 15 FRX sources were excluded due to missing redshift data. of AGNs using data from the LOFAR Two-Metre Sky Survey (LOTSS; Shimwell et al. 2019). Their catalog of 5805 AGNs was used to investigate the relationship be￾tween AGN luminosity and jet morphology, an objective we share in our own work. The mo… view at source ↗
Figure 5
Figure 5. Figure 5: Radio luminosity vs. region size using both RAC￾S-low (887.5 MHz) and GLEAM data (174 MHz). The jet length for 83.5% of these sources lie between 100 kpc and 1 Mpc. The number of sources in each plot will differ depend￾ing on whether the source has luminosity data at 887 MHz and 174 MHz. 2003) and a few for NVSS. Furthermore, we were able to use the more detailed radio maps to identify the optical counterp… view at source ↗
Figure 6
Figure 6. Figure 6: The images created for the catalogue. Each images corresponds to a single G4Jy-3CRE source at one of three frequencies, RACS-low, RACS-mid, and RACS-high. Each image consists of RACS radio contours overlaid an optical image corresponding corresponding to the radio source. The background images are cutouts corresponding to the coordinates of the radio source from DES, PanSTARRS, or DSS2 (based on availabili… view at source ↗
Figure 7
Figure 7. Figure 7 [PITH_FULL_IMAGE:figures/full_fig_p020_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: No signal was detected in RACS-mid and RACS-high for G4Jy 77 [PITH_FULL_IMAGE:figures/full_fig_p021_8.png] view at source ↗
Figure 9
Figure 9. Figure 9 [PITH_FULL_IMAGE:figures/full_fig_p022_9.png] view at source ↗
Figure 10
Figure 10. Figure 10 [PITH_FULL_IMAGE:figures/full_fig_p023_10.png] view at source ↗
Figure 11
Figure 11. Figure 11 [PITH_FULL_IMAGE:figures/full_fig_p024_11.png] view at source ↗
Figure 12
Figure 12. Figure 12 [PITH_FULL_IMAGE:figures/full_fig_p025_12.png] view at source ↗
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Figure 13. Figure 13 [PITH_FULL_IMAGE:figures/full_fig_p026_13.png] view at source ↗
Figure 14
Figure 14. Figure 14 [PITH_FULL_IMAGE:figures/full_fig_p027_14.png] view at source ↗
Figure 15
Figure 15. Figure 15 [PITH_FULL_IMAGE:figures/full_fig_p028_15.png] view at source ↗
Figure 16
Figure 16. Figure 16: RACS-low data for G4Jy 350 could not be convolved to 25′′, and therefore was not available. It may be replaced with future observations from RACS-low2 or RACS-low3 (E.Lenc and A. Hotan, private communication) [PITH_FULL_IMAGE:figures/full_fig_p029_16.png] view at source ↗
Figure 17
Figure 17. Figure 17 [PITH_FULL_IMAGE:figures/full_fig_p030_17.png] view at source ↗
Figure 18
Figure 18. Figure 18 [PITH_FULL_IMAGE:figures/full_fig_p031_18.png] view at source ↗
Figure 19
Figure 19. Figure 19 [PITH_FULL_IMAGE:figures/full_fig_p032_19.png] view at source ↗
Figure 20
Figure 20. Figure 20 [PITH_FULL_IMAGE:figures/full_fig_p033_20.png] view at source ↗
Figure 21
Figure 21. Figure 21 [PITH_FULL_IMAGE:figures/full_fig_p034_21.png] view at source ↗
Figure 22
Figure 22. Figure 22 [PITH_FULL_IMAGE:figures/full_fig_p035_22.png] view at source ↗
Figure 23
Figure 23. Figure 23 [PITH_FULL_IMAGE:figures/full_fig_p036_23.png] view at source ↗
Figure 24
Figure 24. Figure 24 [PITH_FULL_IMAGE:figures/full_fig_p037_24.png] view at source ↗
Figure 25
Figure 25. Figure 25 [PITH_FULL_IMAGE:figures/full_fig_p038_25.png] view at source ↗
Figure 26
Figure 26. Figure 26: RACS-low data for G4Jy 718 could not be convolved to 25′′, and therefore was not available. It may be replaced with future observations from RACS-low2 or RACS-low3 (E.Lenc and A. Hotan, private communication) [PITH_FULL_IMAGE:figures/full_fig_p039_26.png] view at source ↗
Figure 27
Figure 27. Figure 27 [PITH_FULL_IMAGE:figures/full_fig_p040_27.png] view at source ↗
Figure 28
Figure 28. Figure 28 [PITH_FULL_IMAGE:figures/full_fig_p041_28.png] view at source ↗
Figure 29
Figure 29. Figure 29 [PITH_FULL_IMAGE:figures/full_fig_p042_29.png] view at source ↗
Figure 30
Figure 30. Figure 30 [PITH_FULL_IMAGE:figures/full_fig_p043_30.png] view at source ↗
Figure 31
Figure 31. Figure 31 [PITH_FULL_IMAGE:figures/full_fig_p044_31.png] view at source ↗
Figure 32
Figure 32. Figure 32 [PITH_FULL_IMAGE:figures/full_fig_p045_32.png] view at source ↗
Figure 33
Figure 33. Figure 33 [PITH_FULL_IMAGE:figures/full_fig_p046_33.png] view at source ↗
Figure 34
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Figure 35
Figure 35. Figure 35 [PITH_FULL_IMAGE:figures/full_fig_p048_35.png] view at source ↗
Figure 36
Figure 36. Figure 36 [PITH_FULL_IMAGE:figures/full_fig_p049_36.png] view at source ↗
Figure 37
Figure 37. Figure 37 [PITH_FULL_IMAGE:figures/full_fig_p050_37.png] view at source ↗
Figure 38
Figure 38. Figure 38 [PITH_FULL_IMAGE:figures/full_fig_p051_38.png] view at source ↗
Figure 39
Figure 39. Figure 39: RACS-low data for G4Jy 1284 could not be convolved to 25′′, and therefore was not available. It may be replaced with future observations from RACS-low2 or RACS-low3 (E.Lenc and A. Hotan, private communication) [PITH_FULL_IMAGE:figures/full_fig_p052_39.png] view at source ↗
Figure 40
Figure 40. Figure 40 [PITH_FULL_IMAGE:figures/full_fig_p053_40.png] view at source ↗
Figure 41
Figure 41. Figure 41 [PITH_FULL_IMAGE:figures/full_fig_p054_41.png] view at source ↗
Figure 42
Figure 42. Figure 42: RACS-low data for G4Jy 1411 could not be convolved to 25′′, and therefore was not available. It may be replaced with future observations from RACS-low2 or RACS-low3 [PITH_FULL_IMAGE:figures/full_fig_p055_42.png] view at source ↗
Figure 43
Figure 43. Figure 43 [PITH_FULL_IMAGE:figures/full_fig_p056_43.png] view at source ↗
Figure 44
Figure 44. Figure 44 [PITH_FULL_IMAGE:figures/full_fig_p057_44.png] view at source ↗
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Figure 45. Figure 45 [PITH_FULL_IMAGE:figures/full_fig_p058_45.png] view at source ↗
Figure 46
Figure 46. Figure 46 [PITH_FULL_IMAGE:figures/full_fig_p059_46.png] view at source ↗
Figure 47
Figure 47. Figure 47 [PITH_FULL_IMAGE:figures/full_fig_p060_47.png] view at source ↗
Figure 48
Figure 48. Figure 48 [PITH_FULL_IMAGE:figures/full_fig_p061_48.png] view at source ↗
Figure 49
Figure 49. Figure 49 [PITH_FULL_IMAGE:figures/full_fig_p062_49.png] view at source ↗
Figure 50
Figure 50. Figure 50 [PITH_FULL_IMAGE:figures/full_fig_p063_50.png] view at source ↗
Figure 51
Figure 51. Figure 51 [PITH_FULL_IMAGE:figures/full_fig_p064_51.png] view at source ↗
Figure 52
Figure 52. Figure 52 [PITH_FULL_IMAGE:figures/full_fig_p065_52.png] view at source ↗
Figure 53
Figure 53. Figure 53: RACS-low data for G4Jy 1723 could not be convolved to 25′′, and therefore was not available. It may be replaced with future observations from RACS-low2 or RACS-low3 [PITH_FULL_IMAGE:figures/full_fig_p066_53.png] view at source ↗
Figure 54
Figure 54. Figure 54 [PITH_FULL_IMAGE:figures/full_fig_p067_54.png] view at source ↗
Figure 55
Figure 55. Figure 55 [PITH_FULL_IMAGE:figures/full_fig_p068_55.png] view at source ↗
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Figure 56. Figure 56 [PITH_FULL_IMAGE:figures/full_fig_p069_56.png] view at source ↗
Figure 57
Figure 57. Figure 57 [PITH_FULL_IMAGE:figures/full_fig_p070_57.png] view at source ↗
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Figure 58. Figure 58 [PITH_FULL_IMAGE:figures/full_fig_p071_58.png] view at source ↗
read the original abstract

A recent 2023 paper by Massaro et al. introduced the G4Jy-3CRE, a new catalog of the brightest radio sources in the southern hemisphere that serve as a southern equivalent to the Third Cambridge Catalog Revised (3CR). The G4Jy-3CRE catalog selected 264 sources from the GLEAM-4Jy survey based on the same criteria used to select the sources in the 3CR. In this paper, we present new Australian Square Kilometre Array Pathfinder (ASKAP) continuuum imaging of the G4Jy-3CRE catalog. We use the three most recent data releases from the Rapid ASKAP Continuum Survey (RACS), covering the sky south of +30{\deg}decl.: RACS-low1, RACS-mid, and RACS-high. Together, these data releases cover a range of frequencies from 600 to 1800 MHz. The RACS surveys have improved spatial resolution and sensitivity over archival surveys at the same frequency, enabling us to classify 173 sources (66% of the sample) with morphologies indicative of the presence of jets, 37 of which did not show jet activity on archival radio maps. We were able to effectively classify FRI/FRII galaxies up to a redshift of z = 1.35. Moreover, we identified six optical counterparts for sources that were either previously unidentified or ambiguous.

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

3 major / 2 minor

Summary. The paper presents new ASKAP continuum imaging from the RACS-low1, RACS-mid, and RACS-high surveys (600–1800 MHz) for the full G4Jy-3CRE sample of 264 bright southern radio sources. It reports that the improved resolution and sensitivity allow morphological classification of 173 sources (66% of the sample) as jet-bearing, including 37 sources whose jet activity was not visible in archival maps, FRI/FRII typing up to z = 1.35, and identification of six new or previously ambiguous optical counterparts.

Significance. If the classifications are reproducible, the work supplies a high-resolution radio dataset for a flux-limited southern sample that directly parallels the 3CR, enabling comparative studies of jet morphology, source evolution, and environment across hemispheres. The data release itself is a clear asset for the community.

major comments (3)
  1. [Results (morphological classification paragraph)] The manuscript states that 173 sources were classified on the basis of morphologies indicative of jets and that FRI/FRII types were assigned up to z = 1.35, yet no section supplies the quantitative decision criteria (e.g., minimum lobe angular extent, core-prominence threshold, or edge-brightening metric) used in the visual inspection. Without these, the 66 % classification rate and the 37 new jet detections cannot be independently verified or corrected for projection and resolution effects.
  2. [Results (new detections and optical counterparts)] The claim that the RACS images reveal jet/lobe features absent from archival maps rests entirely on unquantified visual comparison. No table or text reports inter-observer agreement, false-positive rates, or tests against simulated sources at the same surface-brightness and resolution limits, leaving the robustness of the 37 new detections and the six new optical IDs open to selection bias.
  3. [Discussion (redshift-dependent classification)] Although the paper asserts effective FRI/FRII classification to z = 1.35, there is no assessment of how beam smearing, surface-brightness dimming, or projection alter apparent morphology at the highest redshifts in the sample. This omission directly affects the load-bearing claim that the new data enable reliable typing across the full redshift range.
minor comments (2)
  1. [Figure captions] Figure captions should explicitly state the frequency of each RACS image and include a uniform angular-scale bar to facilitate direct comparison with archival maps.
  2. [Methods] A short methods subsection or appendix listing the exact visual-inspection protocol (even if qualitative) would improve reproducibility without lengthening the main text.

Simulated Author's Rebuttal

3 responses · 0 unresolved

We are grateful to the referee for their constructive and detailed comments on our manuscript. We have carefully reviewed each major point and provide point-by-point responses below, indicating where revisions will be made to address the concerns raised.

read point-by-point responses

  1. Referee: [Results (morphological classification paragraph)] The manuscript states that 173 sources were classified on the basis of morphologies indicative of jets and that FRI/FRII types were assigned up to z = 1.35, yet no section supplies the quantitative decision criteria (e.g., minimum lobe angular extent, core-prominence threshold, or edge-brightening metric) used in the visual inspection. Without these, the 66 % classification rate and the 37 new jet detections cannot be independently verified or corrected for projection and resolution effects.

    Authors: We agree that the manuscript would be strengthened by an explicit description of the classification criteria. The classifications were performed via visual inspection by the author team using standard morphological indicators for jet-bearing radio sources (e.g., presence of extended lobes, jets, and core prominence). In the revised manuscript we will add a dedicated subsection in the Results section that outlines the specific features and approximate thresholds considered during inspection, such as minimum lobe angular extent and qualitative edge-brightening characteristics for FRII sources. This will improve reproducibility while acknowledging that some subjectivity is inherent to visual classification of complex sources. revision: yes

  2. Referee: [Results (new detections and optical counterparts)] The claim that the RACS images reveal jet/lobe features absent from archival maps rests entirely on unquantified visual comparison. No table or text reports inter-observer agreement, false-positive rates, or tests against simulated sources at the same surface-brightness and resolution limits, leaving the robustness of the 37 new detections and the six new optical IDs open to selection bias.

    Authors: We acknowledge that the 37 new jet detections and six new optical counterparts were identified through visual comparison of the higher-resolution and more sensitive RACS images against archival maps, without formal quantitative validation such as inter-observer agreement statistics or simulated source tests. In the revised manuscript we will expand the relevant Results section to describe the visual inspection process in more detail, including how consensus was reached among co-authors, and we will add a discussion of potential selection biases. However, we did not perform simulated source injections or calculate false-positive rates in the original analysis. revision: partial

  3. Referee: [Discussion (redshift-dependent classification)] Although the paper asserts effective FRI/FRII classification to z = 1.35, there is no assessment of how beam smearing, surface-brightness dimming, or projection alter apparent morphology at the highest redshifts in the sample. This omission directly affects the load-bearing claim that the new data enable reliable typing across the full redshift range.

    Authors: We accept this point. While the improved resolution of the RACS data enabled morphological classification up to z = 1.35, the manuscript does not include a dedicated assessment of beam smearing, surface-brightness dimming, or projection effects. In the revised version we will add a paragraph to the Discussion section that qualitatively evaluates these observational biases and their possible influence on classifications at the highest redshifts in the sample, referencing the redshift distribution of the classified sources. revision: yes

Circularity Check

0 steps flagged

No circularity: purely observational classification paper with independent results

full rationale

This is an observational data release paper presenting new ASKAP/RACS continuum imaging at 600-1800 MHz for the G4Jy-3CRE catalog. The central results—classification of 173 sources (66%) with jet morphologies, 37 newly detected jets, FRI/FRII typing to z=1.35, and six new optical IDs—are direct visual interpretations of improved-resolution images compared to archival maps. No equations, fitted parameters, predictions, or first-principles derivations are present. The single reference to the 2023 Massaro et al. paper defines the input catalog but does not support or justify the new morphological classifications, which rely on the current observations. The paper is self-contained as a straightforward observational report with no load-bearing self-citations or self-referential steps.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

This is an observational catalog paper; no free parameters, mathematical axioms, or new physical entities are introduced. Classification relies on standard radio astronomy morphological criteria.

axioms (1)
  • domain assumption Standard radio galaxy morphological classification (FRI/FRII) based on jet appearance in continuum images is reliable at the resolution and sensitivity of RACS data.
    Invoked when stating effective classification up to z=1.35 and new jet detections.

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