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REVIEW 2 major objections 4 minor 26 references

An ESO-SKAO Synergistic Approach to Galaxy Formation and Evolution Studies

T0 review · 2 major / 4 minor · reviewed 2026-08-10 · deepseek-v4-flash

Pith's one-line read ESO's new multi-fibre spectrographs 4MOST and MOONS can supply the spectroscopy SKAO radio surveys need.

desk verdict A useful, well-grounded planning document for ESO–SKAO follow-up, with the caveat that its completeness fractions are upper bounds. read the letter →

arxiv 2501.05354 v1 pith:YHXWNLJ7 submitted 2025-01-09 astro-ph.GA

classification astro-ph.GA
keywords SKAOESO4MOSTMOONSradiocontinuumsurveysHIintegralfieldspectroscopyT-RECS
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

This paper argues that the scientific return of SKAO radio continuum and 21-cm hydrogen surveys will depend on optical and near-infrared spectroscopy from ESO, and that ESO's new multi-fibre spectrographs are quantitatively up to the task. Comparing the T-RECS simulation's predicted radio source counts with the fibre numbers, fields of view, and depth of 4MOST and MOONS, the authors find that 4MOST can spectroscopically cover essentially all radio-selected galaxies in wide surveys such as EMU and the planned SKA all-sky survey, while MOONS can cover galaxies and roughly half the radio AGN down to the deepest SKA-Mid flux limits. For resolved studies, they argue that integral-field spectrographs such as KMOS and MUSE, combined with ALMA, can deliver the multi-phase gas and stellar measurements needed to study galaxy assembly. If this is correct, survey planners should allocate ESO time to radio-selected targets and build joint ESO-SKAO proposals, archives, and virtual observing platforms.

What carries the argument

The quantitative match between the Tiered Radio Extragalactic Continuum Simulation (T-RECS) and the multiplex capabilities of ESO spectrographs is the argument's engine. T-RECS supplies predicted flux–redshift distributions and cumulative number counts for radio galaxies and radio AGN; the paper overlays the 4MOST and MOONS fibre numbers and depth limits ($r_{\rm AB} < 22.5$ in two hours, $H_{\rm AB} < 22$ in one hour) and the KMOS limit ($K_{\rm AB} < 22.5$) to test whether the predicted radio source density can be followed in a single pass. Where the cumulative source density meets or falls below the fibre density, the ESO instrument can carry the follow-up without becoming the bottleneck; where it rises above, the paper states the resulting completeness fraction, such as the 25–30% for 4MOST on radio AGN.

What would settle it

Measure the actual optical magnitudes of radio-selected AGN in MIGHTEE fields and compare the fraction that 4MOST can reach in two hours with the predicted 25–30%; a strong mismatch would falsify the claimed completeness. A second check is to compare T-RECS cumulative counts with observed EMU and MIGHTEE counts at sub-10-microjansky radio fluxes.

Watch

Extended reading notes

Core claim

The central claim is that ESO's currently available and soon-to-be-operational spectroscopic facilities can and should serve as the follow-up workhorses for SKAO galaxy surveys. For the multi-object tier the claim is quantitative: in two hours, 4MOST (reaching $r_{\rm AB} < 22.5$) can detect essentially all radio-selected galaxies from the EMU survey and the planned SKA all-sky survey, and its fibre density matches the predicted source density at those limits; 4MOST reaches only about 25–30% of the radio AGN population at all fluxes, which the authors count as a good match down to the MIGHTEE and SKA-Mid WIDE limits. In one hour, MOONS (reaching $H_{\rm AB} < 22$) detects all radio-selected galaxies and about half the radio AGN down to the deepest SKA-Mid continuum depths, covering the redshift 1.5–2.5 window where key spectral features shift out of optical reach. For resolved studies, KMOS can follow complete HI-mass-selected spiral samples with $M_{\rm HI} > 10^{7.5}$–$10^8\,M_\odot$ out to redshift 0.5, and MUSE and BlueMUSE together with ALMA can map the multi-phase baryon cycle. The paper closes with operational recommendations: joint proposal schemes, shared archival capabilities, and common virtual observing platforms.

Load-bearing premise

The matching exercise assumes that the T-RECS simulation predicts real radio source counts, flux-redshift distributions, and AGN fractions down to the planned SKA depths, and that the assumed optical and near-infrared magnitude limits are realistic for the stated exposure times.

Editorial extensions

If this is right

  • 4MOST can provide spectroscopic redshifts for essentially all radio-selected galaxies in wide shallow surveys such as EMU and the planned SKA all-sky survey, easing host-galaxy identification and source classification.
  • MOONS extends the follow-up into the near-infrared, covering galaxies and roughly half the radio AGN across the redshift 1.5–2.5 epoch of peak star formation and black-hole activity.
  • KMOS and MUSE/BlueMUSE, combined with ALMA, can turn SKAO HI detections into spatially resolved multi-phase gas and stellar measurements.
  • Joint ESO-SKAO proposal schemes, shared archives, and common virtual observing platforms would shorten the path from radio survey data to scientific results.

Reading between the lines

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

  • If T-RECS underpredicts the faint radio AGN population, the 25–30% 4MOST AGN completeness would be an upper bound, so completing the AGN census would require a deeper or near-infrared spectroscopic tier.
  • The same fibre-density matching logic can be inverted to compute, for any radio survey depth, the sky area where 4MOST or MOONS becomes saturated, allowing survey footprints to be designed to avoid overcrowded or wasted fields.
  • A practical pilot would run a joint ESO-SKAO virtual observing platform on existing ASKAP and MeerKAT data to measure overheads and completeness before the SKA era begins.
  • The KMOS HI-size matching argument could be turned into a concrete target list of HI-selected spirals with $M_{\rm HI} > 10^{7.5}$–$10^8\,M_\odot$ and $z < 0.5$, testable against WALLABY and LADUMA detections.
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Editorial analysis

A structured set of objections, weighed in public.

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

Referee Report

2 major / 4 minor

Summary. This manuscript, written by members of the ESO and SKAO communities, argues that ESO optical/near-infrared spectrographs and integral-field units can provide the follow-up observations needed to exploit forthcoming SKAO radio continuum and HI surveys. The paper identifies three classes of follow-up campaigns (large MOS redshift surveys, IFU/ALMA surveys of selected fields, and IFU/ALMA targeted studies), and illustrates the first class with quantitative comparisons: Figures 2 and 3 use the T-RECS simulation to show that 4MOST and MOONS can detect large fractions of radio-selected galaxies and AGN, and that fiber densities roughly match source densities at certain flux limits. The manuscript also discusses KMOS, MUSE, BlueMUSE, and future ELT instruments, and closes with operational recommendations for joint ESO–SKAO projects.

Significance. The paper is a timely and useful community-oriented synthesis. Its central claim—that ESO MOS/IFU facilities can and should play a key role in supporting SKAO radio surveys—is reasonable and well aligned with existing instrument plans. The concrete examples (ORCHIDSS, KMOS public surveys) and the explicit breakdown of short- and long-term timescales give the paper practical value for survey planners. The quantitative figures, based on the publicly available T-RECS simulation, provide a first-order feasibility check. However, the numerical claims are presented without uncertainty estimates or sensitivity tests, and the paper's conclusions would be more robust if the quoted completeness fractions were treated as upper limits rather than expected spectroscopic yields.

major comments (2)
  1. [The role of MOS: 4MOST and MOONS (Figures 2 and 3)] The paper equates the magnitude limits r_AB < 22.5 (4MOST, 2h) and H_AB < 22 (MOONS, 1h) with spectroscopic detectability, and then quotes completeness fractions such as '4MOST can detect all radio-selected galaxies' and 'MOONS is able to detect all radio sources associated with galaxies' as well as '~50% of the radio AGN populations.' However, a continuum detection at these limits does not guarantee that a secure redshift can be extracted; redshift success depends on line strength, spectral energy distribution, and sky-line residuals, and is typically well below 100% for faint sources, especially for passive or dusty systems and for AGN-dominated spectra. The figures contain no simulation of the redshift-fitting process and no success-rate curves, so the quoted fractions are upper limits on the target population rather than expected spectroscopic yields. Because the paper's quantitative case for allocating ESO time to radio-selected follow-up rests on these fractions, the authors should either reframe the claims as 'detectable in the continuum' upper limits or add a realistic estimate of redshift success rates based on existing surveys (e.g., GAMA, zCOSMOS, VANDELS) or a simple spectroscopic simulation.
  2. [Figures 2, 3, and 4 (T-RECS dependence)] The quantitative match-ups between radio source densities and fiber densities rely entirely on the T-RECS simulation (Bonaldi et al., 2023) for number counts, flux–redshift distributions, and AGN fractions, but the paper provides no sensitivity analysis or comparison with observed source counts. The quoted percentages (25–30% for 4MOST AGN, ~50% for MOONS AGN) and the flux values at which fiber densities match source densities (e.g., S_1.4GHz ~ 10–20 uJy for MOONS galaxies) are presented without error bars or alternative model checks. Since a change in the simulated faint radio AGN population or in the assumed optical/NIR magnitude limits would directly alter the claimed completeness and the fiber-matching flux thresholds, the authors should at minimum add a brief discussion of T-RECS uncertainties (e.g., agreement with observed counts at 20–100 uJy, cosmic variance in the 1-deg2 fields) or soften the quantitative statements to indicate that they are indicative only.
minor comments (4)
  1. [Abstract and Introduction] The abstract and introduction are clear, but the phrase 'Figure/uni00A01' in the Introduction should be formatted simply as 'Figure 1'.
  2. [Acknowledgements] There are several typographical errors: 'collegues' should be 'colleagues', 'sensitivy' should be 'sensitivity', and 'precusors' should be 'precursors'.
  3. [Figure 2 caption] The caption states that in the top panel only surveys covering sky areas larger than the 4MOST field of view are shown, but the text does not explicitly define the sky areas of the SKA survey tiers; adding a sentence with the survey areas (deg^2) would help the reader interpret the vertical lines.
  4. [References] Some references are incomplete (e.g., 'Chowdhury, A., Nissim, K & Chengalur, J. N. 2022' is missing a parenthesis after 'Nissim'), and the reference list would benefit from a consistent style for author lists.

Circularity Check

0 steps flagged · score 0.0 of 10

No significant circularity: the paper compares external simulations and instrument specifications; self-citations are not load-bearing.

full rationale

This is a strategic feasibility paper rather than a derivation. Its quantitative claims are obtained by comparing T-RECS radio-source predictions (Bonaldi et al. 2023, external to the author list) with instrument sensitivity limits taken from instrument design papers (de Jong et al. 2019 for 4MOST; Cirasuolo et al. 2020 for MOONS; Birkin et al. 2024 for KMOS). These limits are inputs, not outputs, of the paper's argument, and the recommendation that ESO spectrographs can support SKAO surveys is not equivalent to any of them. The SKA survey depths plotted in Figures 2 and 3 are attributed to Prandoni & Seymour (2015), a prior work by one of the present authors, but they are assumed survey parameters used as external benchmarks, not quantities fitted to or derived from the conclusions of this paper. The skeptical concern that a continuum detection at rAB < 22.5 or HAB < 22 does not guarantee a secure spectroscopic redshift is a scientific correctness issue, not a circularity: the paper explicitly defines 'detectable' by photometric magnitude limits and never reuses its conclusion as an input. Self-citations are present but are not load-bearing reductions, and under the review rules they do not raise the circularity score.

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

The paper introduces no free parameters and no new entities. Its recommendations rest on accepting T-RECS as a sky model, on instrument specifications from the cited literature, and on the planned SKA survey designs.

assumptions (3)
  • domain assumption The T-RECS simulation accurately represents radio source number counts, flux-redshift distributions, and AGN fractions down to the planned SKA depths.
    All quantitative conclusions in Figures 2 to 4 and the stated completeness percentages depend on this assumption.
  • domain assumption Instrument specifications for 4MOST, MOONS, KMOS, MUSE, and ALMA, including fibre numbers, fields of view, and sensitivity limits, are accurate as cited.
    The claimed matches between source densities and fibre densities rely on these numbers from the cited instrument papers.
  • domain assumption The planned SKAO survey designs (all-sky, wide, deep, and ultra-deep) will be executed as assumed.
    The recommendations for which ESO instruments should follow up which surveys depend on the assumed SKA survey depths and sky coverages.

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Cite this review

Pith. "Pith review of An ESO-SKAO Synergistic Approach to Galaxy Formation and Evolution Studies." pith.science (2026). https://pith.science/paper/YHXWNLJ7

@misc{pith2026250105354,
  author       = {Pith},
  title        = {Pith review of: An ESO-SKAO Synergistic Approach to Galaxy Formation and Evolution Studies},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/YHXWNLJ7}},
  note         = {Machine review of arXiv:2501.05354}
}
read the original abstract

We highlight the potential benefits of a synergistic use of SKAO and ESO facilities for galaxy evolution studies, focusing on the role that ESO spectroscopic surveys can play in supporting next-generation radio continuum and atomic hydrogen (HI) surveys. More specifically we illustrate the role that currently available or soon to be operational ESO multiplex spectrographs can play for three classes of projects: large/deep redshift survey campaigns, integral field unit/Atacama Large Millimeter/submillimeter Array (IFU/ALMA) surveys of selected regions of sky, and IFU/ALMA follow-ups of selected samples. We conclude with some general recommendations for an efficient joint exploitation of ESO-SKAO surveys.

Figures

Figures reproduced from arXiv: 2501.05354 by the authors.

Figure 1
Figure 1. Top: A collection of images of the nearby disc galaxy NGC 628. Each panel highlights a differ￾ent galactic constituent, obtained through observa￾tions with different instruments, over a range of wavelengths (as indicated in the panels), namely: Physics at High Angular resolution in Nearby Galaxies (PHANGS)-ALMA (Leroy et al., 2021), PHANGS-JWST (Lee et al., 2023), PHANGS-MUSE (Emsellem et al., 2022), The HI Nearby G… view at source ↗
Figure 2
Figure 2. Radio continuum source cumulative num￾ber density predictions from T-RECS (Bonaldi et al., 2023) for different classes of sources, compared with 4MOST (top) and MOONS (bottom) capabilities. The y-axis on the left indicates the number of sources in a 1-deg2 field. The y-axis on the right shows the number of sources in the 4MOST (top) and in the MOONS (bottom) field of view. The grey horizontal lines indicate the numb… view at source ↗
Figure 3
Figure 3. 1.4 GHz flux (in μJy) vs redshift distribution of simulated radio continuum sources from T-RECS (Bonaldi et al., 2023) for galaxies (top and middle panels) and radio-loud AGN (bottom panel) in a 1-deg2 field of view. The colour grid shows variations of a third parameter, namely star formation rate and stellar mass (top and middle panels), and radio power (bottom panel). The overplotted lower and upper curves in all … view at source ↗
Figures from the paper (1 more)
Figure 4
Figure 4. Figure 4: HI mass vs redshift distribution of late-type galaxies from T-RECS simulations (Bonaldi et al., 2023). The T-RECS HI simulation is limited to z ~ 0.5. The colour grid shows variations in stellar mass (left) and HI size (right). The overplotted grey curves show the 1% (…

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Reference graph

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Reviewed August 10, 2026 · model on record in the stance chip above.