Pith. sign in

REVIEW 3 major objections 4 minor 103 references

The Centre of Attention: a Powerful Radio Galaxy Pinpoints a NIR-Dark Protocluster at z~3.9

T0 review · 3 major / 4 minor · reviewed 2026-08-07 · deepseek-v4-flash

Pith's one-line read A powerful radio galaxy at z=3.879 pinpoints a protocluster containing a near-infrared-dark ~10^12-solar-mass galaxy, a system projected to evolve into a Coma-like cluster by z=0.

desk verdict A careful, honest ALMA line-scan discovery of a z=3.9 protocluster around a powerful radio galaxy, with two secure redshifts and a single-line membership issue that needs a blind re-check. read the letter →

arxiv 2506.04747 v2 pith:BV2F3B2J submitted 2025-06-05 astro-ph.GA

classification astro-ph.GA
keywords RadiogalaxiesMillimeter-wavespectroscopyMoleculargasCOlineemissionHigh-redshiftgalaxyclustersProtoclustersNIR-dark
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

The paper reports that the powerful radio galaxy GLEAM J005332-325630, confirmed at z=3.879 through ALMA detection of CO(4-3) and [CI](1-0), sits at the centre of a protocluster: up to eight candidate members are found within 1.1 arcminutes and ~700 km/s of its velocity, an overdensity 12–20 times the CANDELS blank-field density. One member, J0053d, is a near-infrared-dark galaxy with a BEAGLE-fitted stellar mass of ~$10^{12}$ solar masses, making it one of the most massive galaxies seen at that epoch. Matching the system to the TNG300 simulation suggests its dark matter halo, currently ~3e13 solar masses, will grow to ~$10^{15}$ solar masses by z=0, comparable to the Coma cluster. The paper argues that powerful radio galaxies can act as beacons that reveal the most massive overdensities in the early universe.

What carries the argument

The central tracer is the CO(4-3) line, the J=4→3 rotational transition of carbon monoxide at ~94.5 GHz, a standard probe of molecular gas at high redshift. The ALMA Band 3 scan covers 84.2–114.9 GHz, catching this line and the [CI] (3P1→3P0) fine-structure line for the two brightest sources, which anchors their redshift at z=3.879. The five single-line candidates are assigned to the same transition because their frequencies cluster within ~700 km/s; their reliability is checked with a source-purity calculation following Aravena et al. (2016) and an interloper estimate from the Riechers et al. (2019) CO luminosity function. Photometry from DES and HAWK-I feeds the BEAGLE SED code, which yields stellar masses and dust optical depths, and the resulting distribution is compared to TNG300 to project the halo's future mass.

What would settle it

Targeted deep spectroscopy that searches for a second line (such as [CI](3P1→3P0) or CO(1-0)) at the positions of J0053d–h would settle the membership: if two or more of the candidates show a second line at a frequency implying a different redshift, the overdensity would shrink substantially. For the massive galaxy claim, JWST/NIRSpec spectroscopy of J0053d could test its z=3.879 redshift directly.

Watch

Extended reading notes

Core claim

In the paper's own terms, J0053 is a z=3.879 powerful radio galaxy (L_500MHz = 1.3e28 W/Hz) whose CO(4-3) emission splits into two kinematic components, interpreted as in-falling gas from a recent merger. A second, radio-quiet sub-millimetre galaxy, J0053b, is confirmed at the same redshift by both CO(4-3) and [CI](1-0), and five further CO(4-3) emitters plus one continuum-only candidate complete a set of up to eight protocluster members, all within ~1.1 arcminutes and within ~700 km/s. The most massive member is the near-infrared-dark J0053d, with stellar mass log(M*/Msun)=12.12(+0.17,-0.20) from BEAGLE, whose host would be a galaxy of ~$10^{12}$ solar masses. Using the TNG300 simulation as a guide, the paper assigns the protocluster a dark matter halo of ~3e13 solar masses that grows to ~$10^{15}$ solar masses by z=0, a Coma-cluster-sized descendant.

Load-bearing premise

The five candidates J0053d–h are counted as protocluster members only because their single detected emission lines sit at frequencies within ~700 km/s of the two spectroscopically confirmed CO(4-3) lines; if any of those single lines is actually a different CO transition at a different redshift, that source would not be part of the protocluster.

Editorial extensions

If this is right

  • If the protocluster is real, it is one of the youngest known precursors of a Coma-mass cluster, offering a direct view of hierarchical assembly at z~4.
  • The radio galaxy's two-component CO emission supports the idea that mergers trigger powerful radio activity and provide the dense gas supply of a forming cluster core.
  • The presence of a ~10^12-solar-mass NIR-dark member implies that some of the most massive z~4 galaxies are completely hidden from rest-frame UV/optical surveys and are only found through their molecular gas.
  • The wide-band ALMA scan strategy used here can be applied to other radio-selected sources to build a statistical sample of protoclusters at z>3, mapping how often powerful radio galaxies pinpoint overdensities.
  • The measured molecular gas lower limits (>5.5e10 solar masses in the field) show that the protocluster core contains enough fuel to sustain the star formation and black hole growth expected in a forming massive cluster.

Reading between the lines

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

  • Beyond the paper: Confirming the single-line members with a second transition would make J0053 a benchmark z~4 protocluster, on par with the densest known examples, and would sharpen the overdensity and halo-mass estimates.
  • Beyond the paper: If J0053d is truly as massive as ~10^12 solar masses at z=3.9, current stellar-mass functions from UV-selected samples are likely incomplete at the high-mass end, since such galaxies would be missed by almost all deep surveys.
  • Beyond the paper: The TNG300-based halo projection could be tested independently with a velocity-dispersion measurement of the confirmed members or with a search for extended SZ/X-ray emission, both of which would directly probe the halo mass.
  • Beyond the paper: Observing the remaining GLEAM-selected targets with the same ALMA strategy could determine whether the J0053 protocluster is typical or extreme, turning a single pointing into a census of early cluster formation.
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 paper reports ALMA Band 3 spectral scans of the candidate high-redshift radio galaxy GLEAM J005332-325630 (J0053). The authors detect CO(4-3) and [CI](1-0) emission in both the radio galaxy (J0053a) and a nearby 100-GHz continuum source (J0053b), placing both at z~3.88. They further identify five additional CO(4-3) candidate members (J0053d-h) from single lines near 94.5 GHz, plus one continuum-only source (J0053c), and claim an overdensity of 12-20 times the CANDELS field density. Aperture photometry and BEAGLE SED fitting are used to identify J0053d as a rare, optically dark, very massive galaxy with log M*/Msun = 12.12, which the authors compare with TNG300 to argue that the system is a Coma-type progenitor.

Significance. If the full membership holds, this is a valuable example of a z~3.9 radio-galaxy-centred protocluster containing molecular gas reservoirs and a very massive obscured galaxy; the two-line spectroscopic confirmation of J0053a and J0053b is solid, and the authors deserve credit for presenting explicit purity and interloper calculations and for using external calibrators (ALESS templates, Riechers et al. CO luminosity function, TNG300) rather than fitting away their own signal. The central discovery is plausible, but the headline member count and the J0053d mass rest on assumptions whose sensitivity is not yet demonstrated. With a careful re-accounting of secure members and a prior-robustness check, the core result is likely to stand, so the paper merits a major revision rather than rejection.

major comments (3)
  1. [§3.2.2, Table 5] The five single-line members J0053d-h are identified by searching in frequency around the confirmed CO(4-3) lines of J0053a/b, so their concentration at 94.5 GHz is partly a selection effect rather than independent confirmation. The claimed <0.01 expected blind interlopers in 3.865<z<3.885 is computed for a blind search, whereas the actual search window was defined a posteriori from the detections themselves; the same is true of the velocity clustering cited in support of membership. The purity analysis in §3.2.2 itself admits that about two of the seven positive detections in the nominal linemap are spurious at S/N>=3.2. Because the 12-20x overdensity figure counts up to eight candidates, the manuscript should either report a full-band blind source search at the same S/N threshold showing that 94.5 GHz is the only frequency with such a concentration of lines, or conservatively restrict secure membership to sources with S/N>=5.7 or with independent photometric support and recompute the overdensity accordingly.
  2. [§4.2, §5] J0053c is included in the 'up to eight' protocluster count and in the 12-20x overdensity, yet Section 4.2 explicitly states that no redshift is determined for this source and that it may not be part of the same structure. Since the overdensity is computed per redshift bin, a source with unknown redshift cannot be counted as a member. The '20x' end of the claimed range is therefore not supported. Please remove J0053c from the overdensity calculation, or present that value only as an explicit upper limit obtained by arbitrarily assigning z=3.879 to the source.
  3. [§3.3, Table 6, §4.5] The headline stellar mass of J0053d, log M*/Msun = 12.12 (+0.17,-0.20), is derived from a single strong Ks-band detection (6.12±0.57 uJy) together with marginal r/i fluxes, while z and Y are consistent with noise. The quoted 68% credible interval is likely to be strongly influenced by the BEAGLE prior range (log M*=9-13) and by the imposed star-formation timescale cap described in Section 2.3.2 and Table 3. The PEGASE mass-to-light estimate in Section 4.1 gives log M* ~ 11.6, which the authors accept as a lower limit, but the difference is comparable to the quoted uncertainty. Please show a prior-sensitivity test (e.g., varying the upper mass prior and the tau cap) or weaken the claim to log M*/Msun ~ 11.6-12.1. The TNG300 comparison and the 'Coma-like progenitor' conclusion depend on this specific mass value.
minor comments (4)
  1. [Throughout] The neutral carbon transition is referred to as [Ci], [CI], and [C i] in different places; please standardize the notation.
  2. [§3.2] The description of the manual line-search procedure would be clearer if it stated the number of independent frequency and spatial trials performed, so that the look-elsewhere penalty can be evaluated; this is related to Major Comment 1.
  3. [Figure 4] The binned spectra in Figure 4 are hard to compare because the continuum levels and vertical scales differ between panels; adding a zero-flux reference line and a ±1-sigma noise band in each panel would help the reader judge the reality of the weaker features.
  4. [Table 1] The observing log lists dates in a way that is readable only by re-deriving them from the prose; adding an explicit 'Date(s)' column header would improve the table.

Circularity Check

1 steps flagged · score 4.0 of 10

Candidate protocluster members are selected by frequency proximity to the confirmed CO lines, and that same proximity is then recycled as an 'external prior' and as velocity-clustering/overdensity evidence; the central two-line confirmation retains independent content, so circularity is partial.

  1. other [Section 3.2.1 ('Statistical analysis concerning the weak detection of the carbon line'), paragraph beginning 'Given there are at least five detections...']
    "Given there are at least five detections of CO emission within approximately 1 arcmin2 at similar frequency, the probability of physical association in an overdensity outweighs the probability of random alignment of all the detections. Hence these identical lines become an external prior."

    The five detections invoked as an 'external prior' are the single-line candidates whose identification as CO(4-3) at z≈3.88 rests entirely on their frequency proximity to the two CO lines of J0053a/b: Section 3.2 states 'The remaining five emission lines (S/N 4−6) are assumed to be CO(4-3) due to their similar frequency to the two confirmed CO(4-3) sources and hence lie at very similar redshift.' Using those candidates to argue that the low-S/N [CI] detections are real, where those [CI] detections in turn confirm the CO(4-3) redshifts on which the candidates depend, closes a support loop.

full rationale

The paper's core spectroscopic confirmation of J0053a and J0053b has independent content: the observed frequency ratio between the strong CO lines and the weaker [CI] lines matches the CO(4-3)/[CI](1-0) rest-frame ratio, and the blind CO luminosity-function calculation uses an external Schechter function from Riechers et al. (2019). The stellar masses, SFRs, and gas masses are derived from external templates (BEAGLE, ALESS, Pégase) and standard conversion factors, not from parameters fitted to the protocluster claim itself. The sample originates in the same group's prior papers (B22/B24), but the protocluster conclusion does not depend on any self-cited uniqueness theorem or fitted prediction. The one genuine circular element is the treatment of the five single-line candidates: their redshifts are assumed from their proximity to the confirmed lines, and that same proximity is then used as evidence of physical association via the 'external prior' argument and as the velocity/overdensity signal. Because this loop affects the extension from two secure members to up to eight candidate members, but not the independent confirmation of the radio galaxy redshift or the external calibrations, the circularity is partial rather than total.

Assumptions & free parameters 2 free parameters · 7 assumptions · 0 invented entities

The central protocluster claim rests on the identification of CO(4-3) lines, with only two sources having a second confirming transition. Stellar masses and SFRs depend on SED template choices and priors. The dark matter halo projection depends on a simulation comparison to an object more massive than the simulation's most massive galaxy.

free parameters (2)
  • BEAGLE prior ranges for galaxy properties = log M*/Msun uniform in [9,13]; log tau/yr in [8,9.15]; log psi in [1,3.5]; tau_V in [-1,7]
    Chosen based on assumptions of high SFR and possible dust obscuration in a protocluster; these priors, especially on stellar mass and star formation timescale, shape the derived masses and SFRs.
  • Star formation timescale cap = tau_max = t_H(z=3.879) - 200 Myr
    Manually set in Section 2.3.2 to force star formation to start after the universe was 200 Myr old; affects the SFH and derived stellar masses, particularly for J0053d.
assumptions (7)
  • domain assumption Single-line detections (J0053d-h) are CO(4-3) at z~3.87-3.88
    Justified statistically in Section 3.2.2 but not spectroscopically confirmed; if wrong, those sources are not protocluster members.
  • domain assumption Thermalised CO SLED with r_41=1 and alpha_CO=0.8 for gas mass estimates
    Used in Section 4.3.2; authors note the gas masses are lower limits, but the choice affects comparisons to literature.
  • domain assumption ALESS SED templates are applicable to J0053a/b at z=3.88 for SFR estimates
    Used in Section 4.3.1 to rescale 100-GHz flux to SFR; optically-faint versus bright templates give a range of SFRs.
  • domain assumption BEAGLE SED models with Bruzual & Charlot 2003, MILES library, Chabrier IMF, solar metallicity, constant SFH
    Used for stellar mass estimates (Section 2.3.2); different templates, IMF, or metallicity can shift masses by several tenths of a dex.
  • domain assumption Riechers et al. (2019) CO luminosity function with no evolution and thermalised SLED for interloper estimate
    Used in Section 3.2.2 to estimate chance interlopers; authors state assumptions overestimate luminosity density for J>1.
  • domain assumption TNG300 simulation is representative for the rarest galaxies at z=4
    Used in Section 4.5 to infer the dark matter halo mass and future evolution of J0053d; the target is more massive than the most massive simulated galaxy.
  • domain assumption Flat LCDM cosmology with H0=70, Omega_M=0.3, Omega_L=0.7
    Assumed throughout for distances and volumes; standard in the field.

how reviews work

0 comments
Cite this review

Pith. "Pith review of The Centre of Attention: a Powerful Radio Galaxy Pinpoints a NIR-Dark Protocluster at z~3.9." pith.science (2026). https://pith.science/paper/BV2F3B2J

@misc{pith2026250604747,
  author       = {Pith},
  title        = {Pith review of: The Centre of Attention: a Powerful Radio Galaxy Pinpoints a NIR-Dark Protocluster at z~3.9},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/BV2F3B2J}},
  note         = {Machine review of arXiv:2506.04747}
}
abstract

We report the discovery of a $z\sim3.9$ protocluster identified from Atacama Large Millimetre/sub-millimetre Array Band 3 spectral scans of a bright radio source selected from the GaLactic and Extra-galactic All-sky Murchison Widefield Array (GLEAM) survey. Extended CO(4-3) and [CI](1-0) line emission was detected in GLEAM J005332$-$325630 confirming it to be a $z=3.879$ powerful radio galaxy with luminosity, $L_{500 MHz}=1.3\times10^{28}$ ${W Hz}^{-1}$. This source is part of a sample of candidate high redshift radio galaxies with bright radio fluxes, $S_{150MHz}>0.1$ Jy, but host galaxies with $K_s({AB})\gtrsim23$ mag. The molecular gas associated with the radio galaxy host has two kinematically separate components, likely in-falling and indicative of a recent interaction or merger with another galaxy. One 100-GHz continuum source $\sim120$ pkpc away is found to have both CO(4-3) and [CI](1-0) emission lines and a further five protocluster members are identified from CO(4-3) emission alone, all at similar redshift ($\Delta v<700$ km s$^{-1}$) and within a radius of $1.1^{\prime}$. Using photometry from the High Acuity Widefield K-band Imager $K_s$-band and the Dark Energy Survey $g, r, i, z$ and $Y$ bands, we find this protocluster harbours a rare, optically-dark, very massive $M_*\sim10^{12}$ ${M}_\odot$ galaxy. Comparisons with the TNG300 cosmological simulation puts this galaxy in a dark matter halo of $M_{DM}\sim3\times10^{13}$ ${M}_\odot$ which will evolve into a Coma-like DM halo ($M_{DM}\sim10^{15}$ ${M}_\odot$) by the present day.

Figures

Figures reproduced from arXiv: 2506.04747 by the authors.

Figure 1
Figure 1. Full ALMA field-of-view (58′′ on a side) of the radio galaxy (J0053a) and its environment. The underlying image is from HAWK-I Ks-band, with ALMA 100-GHz continuum overlaid in red (beam at bottom of figure) and ATCA 5.5-GHz continuum overlaid in blue (beam in upper-right corner). Additionally, CO(4-3) line emission is overlaid in teal using a 3′′ × 3 ′′ smoothed beam resolution (beam shown in lower-left corner) and … view at source ↗
Figure 2
Figure 2. Emission line profiles for the spectroscopically confirmed sources (Top: J0053a, Bottom: J0053b) in veloc￾ity, relative to the systematic redshifts. Black outline with yellow filling shows the CO(4-3) line binned by a factor of 2. Blue outline shows the weaker [Ci] (3P1 → 3P0) line binned by a factor of 4. linemaps of various spectral widths and central frequen￾cies close to the CO(4-3) identified for J0053a/b. We a… view at source ↗
Figure 3
Figure 3. Position-velocity diagram (PVD) of the CO(4-3) associated with J0053a in the cube, after smoothing to the smallest common resolution across the five tunings. The PVD (right panel) is made using pvextractor (Ginsburg et al. 2015, 2016) with a 9′′ length slit of 1.2′′ width centred on the centroid of the CO(4-3) segment and along the position angle of the segment, both estimated by photutils on the FWZI linemap (left … view at source ↗
Figures from the paper (2 more)
Figure 4
Figure 4. Figure 4: Full spectra for each of the candidate protocluster members, binned by a factor of six so that each channel spans approximately 47 MHz. These have been extracted from source masks encompassing the CO(4-3) emission (presumed for candidates without spectroscopic confirma…
Figure 5
Figure 5. Figure 5: Fitted SEDs of J0053a (left) and J0053d (right) with BEAGLE. Black SEDs are the MAP solutions and grey SEDs are alternative solutions for walkers within the 68% credible intervals of the fitted parameters, representative of the scatter in the fitted SED. Blue diamonds …

Discussion (0). Sign in to comment.

Reference graph

Works this paper leans on

103 extracted references · 8 canonical work pages

  1. [1]

    Abbott, T. M. C., Adam´ ow, M., Aguena, M., et al. 2021, ApJS, 255, 20, doi: 10.3847/1538-4365/ac00b3

  2. [2]

    2016, ApJ, 833, 71, doi: 10.3847/1538-4357/833/1/71 Astropy Collaboration, Robitaille, T

    Aravena, M., Decarli, R., Walter, F., et al. 2016, ApJ, 833, 71, doi: 10.3847/1538-4357/833/1/71 Astropy Collaboration, Robitaille, T. P., Tollerud, E. J., et al. 2013, A&A, 558, A33, doi: 10.1051/0004-6361/201322068 Astropy Collaboration, Price-Whelan, A. M., Sip˝ ocz, B. M., et al. 2018, AJ, 156, 123, doi: 10.3847/1538-3881/aabc4f Astropy Collaboration,...

  3. [3]

    2015, ApJ, 810, 74, doi: 10.1088/0004-637X/810/1/74 Ba˜ nados, E., Mazzucchelli, C., Momjian, E., et al

    Aversa, R., Lapi, A., de Zotti, G., Shankar, F., & Danese, L. 2015, ApJ, 810, 74, doi: 10.1088/0004-637X/810/1/74 Ba˜ nados, E., Mazzucchelli, C., Momjian, E., et al. 2021, ApJ, 909, 80, doi: 10.3847/1538-4357/abe239 Ba˜ nados, E., Schindler, J.-T., Venemans, B. P., et al. 2023, ApJS, 265, 29, doi: 10.3847/1538-4365/acb3c7 Ba˜ nados, E., Khusanova, Y., De...

  4. [4]

    G., Kocevski, D

    Barro, G., P´ erez-Gonz´ alez, P. G., Kocevski, D. D., et al. 2024, ApJ, 963, 128, doi: 10.3847/1538-4357/ad167e

  5. [5]

    A., Marques-Chaves, R., et al

    Barrufet, L., Oesch, P. A., Marques-Chaves, R., et al. 2025, MNRAS, 537, 3453, doi: 10.1093/mnras/staf013

  6. [6]

    2023, A&A, 669, A134, doi: 10.1051/0004-6361/202243855

    Belladitta, S., Moretti, A., Caccianiga, A., et al. 2023, A&A, 669, A134, doi: 10.1051/0004-6361/202243855

  7. [7]

    E., Weiss, A., Wardlow, J

    Birkin, J. E., Weiss, A., Wardlow, J. L., et al. 2021, MNRAS, 501, 3926, doi: 10.1093/mnras/staa3862 2 http://www.astropy.org Bogd´ an,´A., Goulding, A. D., Natarajan, P., et al. 2024, Nature Astronomy, 8, 126, doi: 10.1038/s41550-023-02111-9

  8. [8]

    2019, A&A, 622, A103, doi: 10.1051/0004-6361/201834156

    Boquien, M., Burgarella, D., Roehlly, Y., et al. 2019, A&A, 622, A103, doi: 10.1051/0004-6361/201834156

Show all 103 references
  1. [9]

    2022, astropy/photutils: 1.6.0, 1.6.0, Zenodo, doi: 10.5281/zenodo.7419741

    Bradley, L., Sip˝ ocz, B., Robitaille, T., et al. 2022, astropy/photutils: 1.6.0, 1.6.0, Zenodo, doi: 10.5281/zenodo.7419741

  2. [11]

    Briggs, D. S. 1995, PhD thesis, New Mexico Institute of Mining and Technology

  3. [12]

    W., Drouart, G., Seymour, N., et al

    Broderick, J. W., Drouart, G., Seymour, N., et al. 2022, PASA, 39, e061, doi: 10.1017/pasa.2022.42

  4. [13]

    W., Seymour, N., Drouart, G., et al

    Broderick, J. W., Seymour, N., Drouart, G., et al. 2024, PASA, 41, e071, doi: 10.1017/pasa.2024.55

  5. [14]

    2003, MNRAS, 344, 1000, doi: 10.1046/j.1365-8711.2003.06897.x

    Bruzual, G., & Charlot, S. 2003, MNRAS, 344, 1000, doi: 10.1046/j.1365-8711.2003.06897.x

  6. [15]

    2005, MNRAS, 360, 1413, doi: 10.1111/j.1365-2966.2005.09131.x

    Burgarella, D., Buat, V., & Iglesias-P´ aramo, J. 2005, MNRAS, 360, 1413, doi: 10.1111/j.1365-2966.2005.09131.x

  7. [16]

    C., et al

    Calzetti, D., Armus, L., Bohlin, R. C., et al. 2000, ApJ, 533, 682, doi: 10.1086/308692

  8. [17]

    J., Katz, H., Witten, C., et al

    Cameron, A. J., Katz, H., Witten, C., et al. 2024, MNRAS, 534, 523, doi: 10.1093/mnras/stae1547

  9. [18]

    M., Narayanan, D., & Cooray, A

    Casey, C. M., Narayanan, D., & Cooray, A. 2014, PhR, 541, 45, doi: 10.1016/j.physrep.2014.02.009

  10. [19]

    1998, A&A, 331, 451

    Casoli, F., Sauty, S., Gerin, M., et al. 1998, A&A, 331, 451

  11. [20]

    2003, PASP, 115, 763, doi: 10.1086/376392

    Chabrier, G. 2003, PASP, 115, 763, doi: 10.1086/376392

  12. [21]

    C., Hill, R., Aravena, M., et al

    Chapman, S. C., Hill, R., Aravena, M., et al. 2024, ApJ, 961, 120, doi: 10.3847/1538-4357/ad0b77 21

  13. [22]

    2016, MNRAS, 462, 1415, doi: 10.1093/mnras/stw1756 da Cunha, E., Walter, F., Smail, I

    Chevallard, J., & Charlot, S. 2016, MNRAS, 462, 1415, doi: 10.1093/mnras/stw1756 da Cunha, E., Walter, F., Smail, I. R., et al. 2015, ApJ, 806, 110, doi: 10.1088/0004-637X/806/1/110

  14. [23]

    D., De Breuck, C., et al

    Dannerbauer, H., Kurk, J. D., De Breuck, C., et al. 2014, A&A, 570, A55, doi: 10.1051/0004-6361/201423771 De Breuck, C., Seymour, N., Stern, D., et al. 2010, ApJ, 725, 36, doi: 10.1088/0004-637X/725/1/36

  15. [24]

    Downes, D., & Solomon, P. M. 1998, ApJ, 507, 615, doi: 10.1086/306339

  16. [25]

    2016, A&A, 593, A109, doi: 10.1051/0004-6361/201526880

    Drouart, G., Rocca-Volmerange, B., De Breuck, C., et al. 2016, A&A, 593, A109, doi: 10.1051/0004-6361/201526880

  17. [26]

    J., et al

    Drouart, G., Seymour, N., Galvin, T. J., et al. 2020, PASA, 37, e026, doi: 10.1017/pasa.2020.6

  18. [27]

    Emonts, B. H. C., Piqueras-L´ opez, J., Colina, L., et al. 2014, A&A, 572, A40, doi: 10.1051/0004-6361/201423805

  19. [28]

    Emonts, B. H. C., Feain, I., R¨ ottgering, H. J. A., et al. 2013, MNRAS, 430, 3465, doi: 10.1093/mnras/stt147

  20. [29]

    Emonts, B. H. C., De Breuck, C., Lehnert, M. D., et al. 2015a, A&A, 584, A99, doi: 10.1051/0004-6361/201526090

  21. [30]

    Emonts, B. H. C., Mao, M. Y., Stroe, A., et al. 2015b, MNRAS, 451, 1025, doi: 10.1093/mnras/stv930

  22. [31]

    Emonts, B. H. C., Lehnert, M. D., Villar-Mart ´ ın, M., et al. 2016, Science, 354, 1128, doi: 10.1126/science.aag0512

  23. [32]

    Emonts, B. H. C., Lehnert, M. D., Dannerbauer, H., et al. 2018, MNRAS, 477, L60, doi: 10.1093/mnrasl/sly034

  24. [33]

    Emonts, B. H. C., Lehnert, M. D., Lebowitz, S., et al. 2023, ApJ, 952, 148, doi: 10.3847/1538-4357/acde53

  25. [34]

    P., Lyu, J., et al

    Endsley, R., Stark, D. P., Lyu, J., et al. 2023, MNRAS, 520, 4609, doi: 10.1093/mnras/stad266 European Southern Observatory. 1998, The VLT White Book

  26. [35]

    E., Bialek, J., Busha, M., et al

    Evrard, A. E., Bialek, J., Busha, M., et al. 2008, ApJ, 672, 122, doi: 10.1086/521616

  27. [36]

    D., et al

    Falkendal, T., De Breuck, C., Lehnert, M. D., et al. 2019, A&A, 621, A27, doi: 10.1051/0004-6361/201732485

  28. [37]

    L., Bagley, M

    Finkelstein, S. L., Bagley, M. B., Ferguson, H. C., et al. 2023, ApJL, 946, L13, doi: 10.3847/2041-8213/acade4

  29. [38]

    2019, A&A, 623, A143, doi: 10.1051/0004-6361/201833556

    Fioc, M., & Rocca-Volmerange, B. 2019, A&A, 623, A143, doi: 10.1051/0004-6361/201833556

  30. [39]

    T., Honscheid, K., et al

    Flaugher, B., Diehl, H. T., Honscheid, K., et al. 2015, AJ, 150, 150, doi: 10.1088/0004-6256/150/5/150

  31. [40]

    H., Brooks, J

    Frater, R. H., Brooks, J. W., & Whiteoak, J. B. 1992, Journal of Electrical and Electronics Engineering Australia, 12, 103

  32. [41]

    2016, pvextractor: Position-Velocity Diagram Extractor, Astrophysics Source Code Library, record ascl:1608.010

    Ginsburg, A., Robitaille, T., & Beaumont, C. 2016, pvextractor: Position-Velocity Diagram Extractor, Astrophysics Source Code Library, record ascl:1608.010

  33. [42]

    2015, in Astronomical Society of the Pacific Conference Series, Vol

    Ginsburg, A., Robitaille, T., Beaumont, C., et al. 2015, in Astronomical Society of the Pacific Conference Series, Vol. 499, Revolution in Astronomy with ALMA: The Third Year, ed. D. Iono, K. Tatematsu, A. Wootten, & L. Testi, 363–364

  34. [43]

    J., Duncan, K

    Gloudemans, A. J., Duncan, K. J., Saxena, A., et al. 2022, A&A, 668, A27, doi: 10.1051/0004-6361/202244763

  35. [44]

    D., Greene, J

    Goulding, A. D., Greene, J. E., Setton, D. J., et al. 2023, ApJL, 955, L24, doi: 10.3847/2041-8213/acf7c5

  36. [45]

    A., Kocevski, D

    Grogin, N. A., Kocevski, D. D., Faber, S. M., et al. 2011, ApJS, 197, 35, doi: 10.1088/0067-0049/197/2/35 G¨ usten, R., Nyman, L.˚A., Schilke, P., et al. 2006, A&A, 454, L13, doi: 10.1051/0004-6361:20065420

  37. [46]

    R., Millman, K

    Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357, doi: 10.1038/s41586-020-2649-2

  38. [47]

    A., Karim, A., Smail, I., et al

    Hodge, J. A., Karim, A., Smail, I., et al. 2013, ApJ, 768, 91, doi: 10.1088/0004-637X/768/1/91

  39. [48]

    Hunter, J. D. 2007, Computing in Science & Engineering, 9, 90, doi: 10.1109/MCSE.2007.55

  40. [49]

    2021, A&A, 647, L11, doi: 10.1051/0004-6361/202140362

    Ighina, L., Belladitta, S., Caccianiga, A., et al. 2021, A&A, 647, L11, doi: 10.1051/0004-6361/202140362

  41. [50]

    2023, MNRAS, 519, 2060, doi: 10.1093/mnras/stac3668

    Ighina, L., Caccianiga, A., Moretti, A., et al. 2023, MNRAS, 519, 2060, doi: 10.1093/mnras/stac3668

  42. [51]

    K., Broderick, J

    Ighina, L., Leung, J. K., Broderick, J. W., et al. 2022, A&A, 663, A73, doi: 10.1051/0004-6361/202142733

  43. [52]

    2024, A&A, 687, A242, doi: 10.1051/0004-6361/202449369

    Ighina, L., Caccianiga, A., Moretti, A., et al. 2024, A&A, 687, A242, doi: 10.1051/0004-6361/202449369

  44. [53]

    K., Shimizu, I., Iwata, I., & Tanaka, M

    Inoue, A. K., Shimizu, I., Iwata, I., & Tanaka, M. 2014, MNRAS, 442, 1805, doi: 10.1093/mnras/stu936

  45. [54]

    J., Smail, I., Amblard, A., et al

    Ivison, R. J., Smail, I., Amblard, A., et al. 2012, MNRAS, 425, 1320, doi: 10.1111/j.1365-2966.2012.21544.x

  46. [55]

    B., Jeon, M., Song, H., & Bromm, V

    Jeong, T. B., Jeon, M., Song, H., & Bromm, V. 2025, ApJ, 980, 10, doi: 10.3847/1538-4357/ada27d

  47. [56]

    F., Casali, M., et al

    Kissler-Patig, M., Pirard, J. F., Casali, M., et al. 2008, A&A, 491, 941, doi: 10.1051/0004-6361:200809910

  48. [57]

    H., Newman, J

    Kodra, D., Andrews, B. H., Newman, J. A., et al. 2023, ApJ, 942, 36, doi: 10.3847/1538-4357/ac9f12

  49. [58]

    2023, MNRAS, 525, 5831, doi: 10.1093/mnras/stad2647

    Kolwa, S., De Breuck, C., Vernet, J., et al. 2023, MNRAS, 525, 5831, doi: 10.1093/mnras/stad2647

  50. [59]

    2015, in Advancing Astrophysics with the Square Kilometre Array (AASKA14), 1, doi: 10.22323/1.215.0001

    Koopmans, L., Pritchard, J., Mellema, G., et al. 2015, in Advancing Astrophysics with the Square Kilometre Array (AASKA14), 1, doi: 10.22323/1.215.0001

  51. [60]

    D., R¨ ottgering, H

    Kurk, J. D., R¨ ottgering, H. J. A., Pentericci, L., et al. 2000, A&A, 358, L1, doi: 10.48550/arXiv.astro-ph/0005058

  52. [61]

    2014, AJ, 147, 108, doi: 10.1088/0004-6256/147/5/108

    Lang, D. 2014, AJ, 147, 108, doi: 10.1088/0004-6256/147/5/108

  53. [62]

    M., et al

    Lebowitz, S., Emonts, B., Terndrup, D. M., et al. 2023, ApJ, 951, 73, doi: 10.3847/1538-4357/acd3ed

  54. [63]

    2021, ApJ, 909, 56, doi: 10.3847/1538-4357/abd801 22

    Liu, D., Daddi, E., Schinnerer, E., et al. 2021, ApJ, 909, 56, doi: 10.3847/1538-4357/abd801 22

  55. [64]

    S., Cooray, A., Ma, J., et al

    Long, A. S., Cooray, A., Ma, J., et al. 2020, ApJ, 898, 133, doi: 10.3847/1538-4357/ab9d1f

  56. [65]

    Marigo, P., Bressan, A., Nanni, A., Girardi, L., & Pumo, M. L. 2013, MNRAS, 434, 488, doi: 10.1093/mnras/stt1034

  57. [66]

    2007, in Astronomical Society of the Pacific Conference Series, Vol

    Golap, K. 2007, in Astronomical Society of the Pacific Conference Series, Vol. 376, Astronomical Data Analysis Software and Systems XVI, ed. R. A. Shaw, F. Hill, & D. J. Bell, 127

  58. [67]

    2008, A&A Rv, 15, 67, doi: 10.1007/s00159-007-0008-z

    Miley, G., & De Breuck, C. 2008, A&A Rv, 15, 67, doi: 10.1007/s00159-007-0008-z

  59. [68]

    K., Overzier, R

    Miley, G. K., Overzier, R. A., Zirm, A. W., et al. 2006, ApJL, 650, L29, doi: 10.1086/508534

  60. [69]

    B., Chapman, S

    Miller, T. B., Chapman, S. C., Aravena, M., et al. 2018, Nature, 556, 469, doi: 10.1038/s41586-018-0025-2

  61. [70]

    Ryder, S. D. 2022, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 12189, Software and Cyberinfrastructure for Astronomy VII, 121892S, doi: 10.1117/12.2642065

  62. [71]

    2021, AJ, 161, 207, doi: 10.3847/1538-3881/abe6ae

    Mazzucchelli, C. 2021, AJ, 161, 207, doi: 10.3847/1538-3881/abe6ae

  63. [72]

    2023, lmfit/lmfit-py: 1.2.2, 1.2.2, Zenodo, doi: 10.5281/zenodo.8145703

    Newville, M., Otten, R., Nelson, A., et al. 2023, lmfit/lmfit-py: 1.2.2, 1.2.2, Zenodo, doi: 10.5281/zenodo.8145703

  64. [73]

    2016, ApJ, 830, 90, doi: 10.3847/0004-637X/830/2/90

    Noirot, G., Vernet, J., De Breuck, C., et al. 2016, ApJ, 830, 90, doi: 10.3847/0004-637X/830/2/90

  65. [74]

    2018, ApJ, 859, 38, doi: 10.3847/1538-4357/aabadb

    Noirot, G., Stern, D., Mei, S., et al. 2018, ApJ, 859, 38, doi: 10.3847/1538-4357/aabadb

  66. [75]

    2009, A&A, 507, 1793, doi: 10.1051/0004-6361/200912497

    Noll, S., Burgarella, D., Giovannoli, E., et al. 2009, A&A, 507, 1793, doi: 10.1051/0004-6361/200912497

  67. [76]

    Oke, J. B. 1974, ApJS, 27, 21, doi: 10.1086/190287

  68. [77]

    J., Dunne, L., et al

    Oteo, I., Ivison, R. J., Dunne, L., et al. 2018, ApJ, 856, 72, doi: 10.3847/1538-4357/aaa1f1 P´ erez-Gonz´ alez, P. G., Barro, G., Annunziatella, M., et al. 2023, ApJL, 946, L16, doi: 10.3847/2041-8213/acb3a5

  69. [78]

    2018, MNRAS, 475, 648, doi: 10.1093/mnras/stx3112

    Pillepich, A., Nelson, D., Hernquist, L., et al. 2018, MNRAS, 475, 648, doi: 10.1093/mnras/stx3112

  70. [79]

    A., Pavesi, R., Sharon, C

    Riechers, D. A., Pavesi, R., Sharon, C. E., et al. 2019, ApJ, 872, 7, doi: 10.3847/1538-4357/aafc27

  71. [80]

    2004, A&A, 415, 931, doi: 10.1051/0004-6361:20031717

    Rocca-Volmerange, B., Le Borgne, D., De Breuck, C., Fioc, M., & Moy, E. 2004, A&A, 415, 931, doi: 10.1051/0004-6361:20031717

  72. [81]

    Salpeter, E. E. 1955, ApJ, 121, 161, doi: 10.1086/145971 S´ anchez, E., & DES Collaboration. 2010, in Journal of Physics Conference Series, Vol. 259, Journal of Physics Conference Series (IOP), 012080, doi: 10.1088/1742-6596/259/1/012080 S´ anchez-Bl´ azquez, P., Peletier, R. ...

  73. [82]

    2016, ApJ, 820, 83, doi: 10.3847/0004-637X/820/2/83

    Scoville, N., Sheth, K., Aussel, H., et al. 2016, ApJ, 820, 83, doi: 10.3847/0004-637X/820/2/83

  74. [83]

    2015, MNRAS, 448, 1922, doi: 10.1093/mnras/stv079

    Serra, P., Westmeier, T., Giese, N., et al. 2015, MNRAS, 448, 1922, doi: 10.1093/mnras/stv079

  75. [84]

    2007, ApJS, 171, 353, doi: 10.1086/517887

    Seymour, N., Stern, D., De Breuck, C., et al. 2007, ApJS, 171, 353, doi: 10.1086/517887

  76. [85]

    2012, ApJ, 755, 146, doi: 10.1088/0004-637X/755/2/146

    Seymour, N., Altieri, B., De Breuck, C., et al. 2012, ApJ, 755, 146, doi: 10.1088/0004-637X/755/2/146

  77. [86]

    2009, A&A, 497, 945, doi: 10.1051/0004-6361/200811454

    Siringo, G., Kreysa, E., Kov´ acs, A., et al. 2009, A&A, 497, 945, doi: 10.1051/0004-6361/200811454

  78. [87]

    2019, Contemporary Physics, 60, 111, doi: 10.1080/00107514.2019.1615715

    Smith, A., & Bromm, V. 2019, Contemporary Physics, 60, 111, doi: 10.1080/00107514.2019.1615715

  79. [88]

    2017, Astronomy and Geophysics, 58, 3.22, doi: 10.1093/astrogeo/atx099

    Smith, A., Bromm, V., & Loeb, A. 2017, Astronomy and Geophysics, 58, 3.22, doi: 10.1093/astrogeo/atx099

  80. [89]

    M., & Vanden Bout, P

    Solomon, P. M., & Vanden Bout, P. A. 2005, ARA&A, 43, 677, doi: 10.1146/annurev.astro.43.051804.102221

  81. [90]

    S., Marrone, D

    Spilker, J. S., Marrone, D. P., Aguirre, J. E., et al. 2014, ApJ, 785, 149, doi: 10.1088/0004-637X/785/2/149

  82. [91]

    Taylor, M. B. 2005, in Astronomical Society of the Pacific Conference Series, Vol. 347, Astronomical Data Analysis Software and Systems XIV, ed. P. Shopbell, M. Britton, & R. Ebert, 29

  83. [92]

    P., Kurk, J

    Venemans, B. P., Kurk, J. D., Miley, G. K., et al. 2002, ApJL, 569, L11, doi: 10.1086/340563

  84. [93]

    P., R¨ ottgering, H

    Venemans, B. P., R¨ ottgering, H. J. A., Miley, G. K., et al. 2007, A&A, 461, 823, doi: 10.1051/0004-6361:20053941

  85. [94]

    E., et al

    Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nature Methods, 17, 261, doi: 10.1038/s41592-019-0686-2

  86. [95]

    2012, Science, 337, 544, doi: 10.1126/science.1220843

    Volonteri, M. 2012, Science, 337, 544, doi: 10.1126/science.1220843

  87. [96]

    2021, ApJL, 907, L1, doi: 10.3847/2041-8213/abd8c6 Weiß, A., Kov´ acs, A., Coppin, K., et al

    Wang, F., Yang, J., Fan, X., et al. 2021, ApJL, 907, L1, doi: 10.3847/2041-8213/abd8c6 Weiß, A., Kov´ acs, A., Coppin, K., et al. 2009, ApJ, 707, 1201, doi: 10.1088/0004-637X/707/2/1201 Weiß, A., De Breuck, C., Marrone, D. P., et al. 2013, ApJ, 767, 88, doi: 10.1088/0004-637X/767/1/88

  88. [97]

    2021, MNRAS, 506, 3962, doi: 10.1093/mnras/stab1881

    Westmeier, T., Kitaeff, S., Pallot, D., et al. 2021, MNRAS, 506, 3962, doi: 10.1093/mnras/stab1881

  89. [98]

    C., Alberts, S., Ji, Z., et al

    Williams, C. C., Alberts, S., Ji, Z., et al. 2024, ApJ, 968, 34, doi: 10.3847/1538-4357/ad3f17

  90. [99]

    Wootten, A., & Thompson, A. R. 2009, IEEE Proceedings, 97, 1463, doi: 10.1109/JPROC.2009.2020572

  91. [100]

    L., Eisenhardt, P

    Wright, E. L., Eisenhardt, P. R. M., Mainzer, A. K., et al. 2010, AJ, 140, 1868, doi: 10.1088/0004-6256/140/6/1868

  92. [101]

    2013, ApJ, 769, 79, doi: 10.1088/0004-637X/769/1/79 23

    Wylezalek, D., Galametz, A., Stern, D., et al. 2013, ApJ, 769, 79, doi: 10.1088/0004-637X/769/1/79 23

  93. [102]

    2014, ApJ, 786, 17, doi: 10.1088/0004-637X/786/1/17

    Wylezalek, D., Vernet, J., De Breuck, C., et al. 2014, ApJ, 786, 17, doi: 10.1088/0004-637X/786/1/17

  94. [103]

    S., & Knezek, P

    Young, J. S., & Knezek, P. M. 1989, ApJL, 347, L55, doi: 10.1086/185606

  95. [104]

    S., & Scoville, N

    Young, J. S., & Scoville, N. Z. 1991, ARA&A, 29, 581, doi: 10.1146/annurev.aa.29.090191.003053 24 APPENDIX A.SUPPLEMENTARY TABLES & FIGURES Figure A1.Position-velocity diagram (PVD) of the CO(4-3) associated with J0053b in the cube, after smoothing to the smallest common resol...

Pith tools

Reviewed August 7, 2026 · model on record in the stance chip above.