REVIEW 3 major objections 7 minor 105 references
An HI+radio continuum study of local cluster galaxies: Intercepting the early stages of environmental processing with MeerKAT
T0 review · 3 major / 7 minor · reviewed 2026-07-14 · grok-4.5
Pith's one-line read Dual HI and radio selection catches cluster galaxies while external pressure still boosts star formation before gas is stripped.
desk verdict Solid MeerKAT dual-selection paper that cleanly isolates the early RPS compression phase and delivers a quantitative HI-deficiency gradient; main 2.7 imes SFR excess is robust, radio-excess interpretation secondary. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The joint HI 21 cm plus 1.4 GHz continuum selection, combined with the luminosity ratio L_R / L_R^SFR and the offset from the star-forming main sequence. Together these quantities order galaxies into successive early stages of ram-pressure compression, SFR burst, and subsequent decline.
What would settle it
Deep multi-frequency radio continuum spectra of the same sample showing flat rather than steep spectral indices would favor ongoing shock acceleration or compression over residual old electrons, falsifying the claimed origin of the radio excess.
Extended reading notes
Core claim
Cluster galaxies detected simultaneously in HI and 1.4 GHz continuum are on average ~2.7 times more star-forming than field galaxies of matched stellar and HI mass. The dual selection therefore intercepts the earliest stages of environmental processing, when external pressure compresses the interstellar medium and temporarily boosts both star formation and radio luminosity before significant gas removal occurs. Galaxies at this stage can also show radio excess relative to their current SFR, attributed to old relativistic electrons still permeating the disk.
Load-bearing premise
That the radio continuum excess relative to the SED-derived star-formation rate is produced by old relativistic electrons (or mild compression) rather than residual AGN, uncorrected thermal free-free emission, or systematic mismatch between the 100-Myr SED average and the ~10-Myr radio tracer.
Editorial extensions
If this is right
- HI+radio continuum selection becomes a practical filter for assembling samples of galaxies still in the pre-stripping compression phase.
- The L_R / L_R^SFR ratio can separate galaxies observed before, during, and immediately after the compression-induced SFR boost.
- Unwinding morphologies preferentially mark massive, baryon-dominated systems whose spiral structure resists rapid disruption.
- Stacking confirms that average HI deficiency already exists near R_200 and grows by a factor of ~3 inside R_500, quantifying the radial progress of environmental gas loss.
Reading between the lines
- If the dual selection cleanly isolates the compression phase, the same cut applied to SKA-Mid Band 2 surveys should yield statistical samples large enough to measure the duration of the SFR boost as a function of cluster mass and orbital parameters.
- The higher radio asymmetry of jellyfish relative to unwinding systems implies that non-thermal plasma is stripped later than neutral gas, offering a timing diagnostic for multi-phase ISM-ICM coupling.
- The radio excess attributed to old electrons predicts steep spectral indices at lower frequencies; a non-detection of that steepening would reopen the possibility of low-level AGN or free-free contamination.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript presents MeerKAT L-band observations of three local clusters (IIZW108, A4059, A3558) that simultaneously map HI 21 cm and 1.4 GHz continuum emission out to ~2 R200. From 116 HI detections the authors assemble a clean sample of 61 galaxies detected in both tracers, derive stellar masses and 100-Myr-averaged SFRs via Bagpipes SED fitting of UV-to-IR photometry, and classify objects by phase-space location and optical morphology (jellyfish/unwinding). They report that these dual-selected cluster galaxies are on average ~2.7 times more star-forming than xGASS field galaxies of comparable stellar and HI mass, interpret the excess as the signature of early ram-pressure compression before substantial gas removal, and use the LR/LSFR_R ratio together with offsets from the main sequence and HI–M* relation to sketch successive early-processing stages. Unwinding candidates are found to be systematically more massive and HI-rich than jellyfish systems. Stacking of 677 optically selected members further shows that the average HI mass is already ~0.4–0.5 dex below field values at R200 and declines further inside R500, reaching a factor ~3 deficit near the centre.
Significance. The work exploits MeerKAT’s simultaneous HI+continuum capability to isolate a rare, short-lived phase of environmental processing that optical or single-tracer radio surveys miss. The dual-selection result, the quantitative stacking gradient against mass-matched xGASS controls, and the tentative UW-to-JF evolutionary ordering are concrete, falsifiable contributions that will be directly testable with SKA-Mid. The analysis is transparent (KS tests, S/N≥5 stacks, explicit detection limits) and the caveats (solar RFI loss, ~40-arcsec resolution, projection effects) are stated. If the early-compression interpretation holds, the paper supplies a practical selection method for next-generation multi-phase ISM studies of cluster galaxies.
major comments (3)
- Section 3 and Figure 3: the headline factor “~2.7 times more star-forming” is central to the abstract and discussion, yet the precise statistical definition is not given. Is it the ratio of median SFRs after matching both M* and MHI, the ratio of means, or a KS-derived shift? Please state the matching procedure, the uncertainty on the factor, and whether the result survives when the xGASS comparison sample is further restricted to the same radio-luminosity floor used for the cluster sample.
- Section 4.1 and Figures 8–9: the five-stage evolutionary sequence rests on the interpretation that LR/LSFR_R > 1 at Δlog10 SFR < 0 is produced by old relativistic electrons. The manuscript already notes that thermal free-free is expected <6 % and that AGN templates were omitted from the SED fits, but does not quantify how residual low-level AGN or a systematic mismatch between the 100-Myr SED SFR and the ~10-Myr radio tracer would move objects across the stage boundaries. A short quantitative estimate (or an explicit statement that the primary 2.7 factor is independent of the radio excess) is needed to keep the stage scheme from over-interpreting the data.
- Section 4.2: the claim that unwinding morphology “may result from their large baryonic mass” is plausible but currently rests on a small subsample (10 UW vs 13 JF) whose stellar-mass distributions barely overlap. Given the acknowledged orientation bias (UW face-on, JF edge-on) and the modest numbers, the evolutionary sequence UW → JF should be presented more cautiously as a working hypothesis rather than a demonstrated time sequence, or supported by a simple survival-analysis or mass-matched comparison.
minor comments (7)
- Abstract and Section 5: “can features a radio luminosity excess” → “can feature”.
- Table 1: the HI band and ΔV rows are useful; adding the final continuum RMS and HI column-density limits already quoted in the text would make the table self-contained.
- Figure 1 / A.1: the 3–24σ contour levels are clear, but a scale bar in kpc (in addition to the 6-arcmin cutout size) would help readers unfamiliar with the redshift.
- Section 2.1: the ~30–60 % data loss to solar RFI is stated; a brief note on whether the lost data preferentially affect one cluster or one side of the primary beam would reassure readers that the sample is not spatially biased.
- Section 2.3 / Table 2: the xGASS matching is performed by drawing random realisations that match the stellar-mass distribution; stating the number of realisations (already 10) and the resulting scatter on MxGASS_HI in the table caption would improve reproducibility.
- Figure 6 and Table 4: AHI and ARC are computed relative to their own barycentres and at different resolutions; a one-sentence reminder of these caveats in the caption would prevent over-interpretation of the modest ARC difference between UW and JF.
- References: a few recent MeerKAT/ASKAP HI-deficiency papers (e.g., Reynolds et al. 2022 is cited; check completeness of 2023–2025 works) could be added for context, but this is optional.
Circularity Check
No significant circularity: dual-selection excess and stacking gradient rest on external field benchmarks and independent optical catalogs, not on self-fitted parameters or load-bearing self-citation chains.
full rationale
The paper's central claims (the ~2.7 imes SFR excess of the HI+radio continuum sample relative to mass-matched field galaxies, the radio-luminosity stages defined via LR/LSFR_R, the UW/JF mass differences, and the radial HI-deficiency gradient from stacking) are obtained by direct comparison of new MeerKAT measurements against external, independent relations (xGASS, Renzini & Peng 2015 main sequence, Pan et al. 2023 HI–M*, Heesen et al. 2024 SFR–LR) and against the WINGS/OmegaWINGS spectroscopic membership catalog. No free parameters are fitted to the present data and then re-used as predictions; the 2.7 factor is a measured ratio of cumulative distributions (Fig. 3) confirmed by KS tests. Self-citations to prior GASP papers supply morphological labels and contextual interpretation of individual objects but do not calibrate the new HI masses, radio luminosities, or stacked averages. The only minor self-referential element is the interpretive framing of radio excess as “old electrons,” which is offered as one of several possibilities and is not required for the primary SFR-excess result (itself measured from SED-derived SFRs). The derivation is therefore self-contained against external benchmarks.
Assumptions & free parameters
assumptions (5)
- domain assumption ΛCDM cosmology with ΩΛ=0.7, Ωm=0.3, H0=70 km s−1 Mpc−1 used for all distances and masses
- domain assumption Non-parametric SFH with continuity prior and Charlot & Fall dust attenuation in Bagpipes SED fits
- domain assumption xGASS field sample, after IMF and mass-matching cuts, is an unbiased control for HI and SFR distributions
- domain assumption Phase-space classes of Rhee et al. (2017) statistically separate first/recent/intermediate/ancient infallers despite projection effects
- domain assumption Thermal free-free contribution to 1.4 GHz continuum is <6 % and can be ignored
Cite this review
Pith. "Pith review of An HI+radio continuum study of local cluster galaxies: Intercepting the early stages of environmental processing with MeerKAT." pith.science (2026). https://pith.science/paper/VWMS5V3H
@misc{pith2026260711426,
author = {Pith},
title = {Pith review of: An HI+radio continuum study of local cluster galaxies: Intercepting the early stages of environmental processing with MeerKAT},
year = {2026},
howpublished = {\url{https://pith.science/paper/VWMS5V3H}},
note = {Machine review of arXiv:2607.11426}
}
abstract
The evolution of galaxies in clusters is driven by their interaction with the environment, which deeply affects and alters the properties of the multi-phase interstellar medium. Here we make use of MeerKAT observations to study the properties of the neutral and nonthermal interstellar medium, traced respectively by the HI 21 cm line and by the radio continuum emission at 1.4 GHz, out to about twice the virial radius of three local ($z\simeq0.04$) galaxy clusters, namely IIZW108, A4059 and A3558, with $M_{200}\simeq2-9\times10^{14}~M_\odot$. We assemble a sample of 61 galaxies, including the so-called jellyfish and unwinding galaxies, detected in both HI and radio continuum, and derive their optical properties from IR-to-UV photometry using ancillary data. We find that cluster galaxies in our sample are on average $\sim2.7$ times more star-forming than galaxies with the same stellar and HI mass in the field, indicating that the HI + radio-continuum selection has intercepted galaxies at the very early stages of their environmental processing when the external pressure has not yet removed the gas, but the resulting fast compression has enhanced both the star formation and the radio continuum luminosity. The study also reveals that galaxies at the initial stage can features a radio luminosity excess due to the old relativistic electrons permeating the interstellar medium. We show that unwinding galaxies are characterized by high stellar and HI masses, arguing that their peculiar morphology may results from their large baryonic mass. Finally, via the stacking analysis of 677 optically-selected cluster members we quantitatively show that cluster galaxies are more HI-poor than in the field, and the deficiency steadily grows approaching the cluster center where galaxies have, on average, a factor $\sim3\times$ less HI mass than those in the field.
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Works this paper leans on
-
[1]
C., Ciesla, L., Ilbert, O., et al
Arango-Toro, R. C., Ciesla, L., Ilbert, O., et al. 2023, A&A, 675, A126
2023
-
[2]
Barnes, J. E. & Hernquist, L. 1992, ARA&A, 30, 705
1992
-
[3]
2015, MNRAS, 449, 3879
Basu, A., Beck, R., Schmidt, P., & Roy, S. 2015, MNRAS, 449, 3879
2015
-
[4]
2000, in Astronomy, physics and chemistry of H+3, V ol
Beck, R. 2000, in Astronomy, physics and chemistry of H+3, V ol. 358, 777–796
2000
-
[5]
L., Smith, R., et al
Bellhouse, C., McGee, S. L., Smith, R., et al. 2021, MNRAS, 500, 1285
2021
-
[6]
& Arnouts, S
Bertin, E. & Arnouts, S. 1996, A&AS, 117, 393
1996
-
[7]
2025, ApJ, 982, 82
Bianchetti, A., Sinigaglia, F., Rodighiero, G., et al. 2025, ApJ, 982, 82
2025
-
[8]
2022, A&A Rev., 30, 3
Boselli, A., Fossati, M., & Sun, M. 2022, A&A Rev., 30, 3
2022
Show all 105 references
-
[9]
2019, Anticipated Performance of the Square Kilometre Array – Phase 1 (SKA1)
Braun, R., Bonaldi, A., Bourke, T., Keane, E., & Wagg, J. 2019, Anticipated Performance of the Square Kilometre Array – Phase 1 (SKA1)
2019
-
[10]
& Charlot, S
Bruzual, G. & Charlot, S. 2003, MNRAS, 344, 1000 Çakır, O., Owers, M. S., Cortese, L., et al. 2026, PASA, 43, 1
2003
-
[11]
C., McLure, R
Carnall, A. C., McLure, R. J., Dunlop, J. S., & Davé, R. 2018, MNRAS, 480, 4379
2018
-
[12]
2018, MNRAS, 476, 875
Catinella, B., Saintonge, A., Janowiecki, S., et al. 2018, MNRAS, 476, 875
2018
-
[13]
& Fall, S
Charlot, S. & Fall, S. M. 2000, ApJ, 539, 718
2000
-
[14]
2020, MNRAS, 496, 4654
Chen, H., Sun, M., Yagi, M., et al. 2020, MNRAS, 496, 4654
2020
-
[15]
S., Ruszkowski, M., Werhahn, M., Pfrommer, C., & Thomas, T
Chiu, H.-H. S., Ruszkowski, M., Werhahn, M., Pfrommer, C., & Thomas, T. 2025, arXiv e-prints, arXiv:2510.03229
2025
-
[16]
H., Kenney, J
Chung, A., van Gorkom, J. H., Kenney, J. D. P., & V ollmer, B. 2007, ApJ, 659, L115
2007
-
[17]
Condon, J. J. 1992, ARA&A, 30, 575
1992
-
[18]
2021, PASA, 38, e035
Cortese, L., Catinella, B., & Smith, R. 2021, PASA, 38, e035
2021
-
[19]
Deb, T., Verheijen, M. A. W., & van der Hulst, J. M. 2023, A&A, 676, A118
2023
-
[20]
J., Lang, D., et al
Dey, A., Schlegel, D. J., Lang, D., et al. 2019, AJ, 157, 168 Di Gennaro, G., Venturi, T., Giacintucci, S., et al. 2025, A&A, 694, A28
2019
-
[21]
1980, ApJ, 236, 351
Dressler, A. 1980, ApJ, 236, 351
1980
-
[22]
Dursi, L. J. & Pfrommer, C. 2008, ApJ, 677, 993
2008
-
[23]
2014, ApJS, 211, 21
Ebeling, H., Ma, C.-J., & Barrett, E. 2014, ApJS, 211, 21
2014
-
[24]
W., Roberts, I
Edler, H. W., Roberts, I. D., Boselli, A., et al. 2024, A&A, 683, A149
2024
-
[25]
J., Ruszkowski, M., Tonnesen, S., & Holguin, F
Farber, R. J., Ruszkowski, M., Tonnesen, S., & Holguin, F. 2022, MNRAS, 512, 5927
2022
-
[26]
Fitzpatrick, E. L. 1999, PASP, 111, 63
1999
-
[27]
2021, MNRAS, 507, 2300
For, B.-Q., Wang, J., Westmeier, T., et al. 2021, MNRAS, 507, 2300
2021
-
[28]
M., et al
Franchetto, A., Tonnesen, S., Poggianti, B. M., et al. 2021, ApJ, 922, L6
2021
-
[29]
Fumagalli, M., Fossati, M., Hau, G. K. T., et al. 2014, MNRAS, 445, 4335
2014
-
[30]
2006, A&A, 446, 839 Gil de Paz, A., Boissier, S., Madore, B
Gavazzi, G., Boselli, A., Cortese, L., et al. 2006, A&A, 446, 839 Gil de Paz, A., Boissier, S., Madore, B. F., et al. 2007, ApJS, 173, 185
2006
-
[31]
& Haynes, M
Giovanelli, R. & Haynes, M. P. 1985, ApJ, 292, 404
1985
-
[32]
M., McGee, S
Gullieuszik, M., Poggianti, B. M., McGee, S. L., et al. 2020, ApJ, 899, 13
2020
-
[33]
Gunn, J. E. & Gott, III, J. R. 1972, ApJ, 176, 1
1972
-
[34]
E., Pearce, F
Haggar, R., Gray, M. E., Pearce, F. R., et al. 2020, MNRAS, 492, 6074
2020
-
[35]
2024, A&A, 682, A83
Heesen, V ., Schulz, S., Brüggen, M., et al. 2024, A&A, 682, A83
2024
-
[36]
2026, A&A, 708, A65
Ignesti, A., Loi, F., Marasco, A., et al. 2026, A&A, 708, A65
2026
-
[37]
2023, A&A, 675, A118
Ignesti, A., Vulcani, B., Botteon, A., et al. 2023, A&A, 675, A118
2023
-
[38]
M., et al
Ignesti, A., Vulcani, B., Poggianti, B. M., et al. 2022b, ApJ, 924, 64 Józsa, G. I. G., White, S. V ., Thorat, K., et al. 2020, in Astronomical Society of the Pacific Conference Series, V ol. 527, Astronomical Data Analysis Soft- ware and Systems XXIX, ed. R. Pizzo, E. R. Deul...
2020
-
[39]
Kenney, J. D. P., Geha, M., Jáchym, P., et al. 2014, ApJ, 780, 119
2014
-
[40]
Kenney, J. D. P., van Gorkom, J. H., & V ollmer, B. 2004, AJ, 127, 3361
2004
-
[41]
Kennicutt, R. C. & Evans, N. J. 2012, ARA&A, 50, 531
2012
-
[42]
& Boily, C
Kroupa, P. & Boily, C. M. 2002, MNRAS, 336, 1188
2002
-
[43]
C., Johnson, B
Leja, J., Carnall, A. C., Johnson, B. D., Conroy, C., & Speagle, J. S. 2019, ApJ, 876, 3
2019
-
[44]
2014, MNRAS, 445, 1694
Lelli, F., Verheijen, M., & Fraternali, F. 2014, MNRAS, 445, 1694
2014
-
[45]
2025, A&A, 694, A125
Loi, F., Serra, P., Murgia, M., et al. 2025, A&A, 694, A125
2025
-
[46]
2021, A&A, 648, A31
Loni, A., Serra, P., Kleiner, D., et al. 2021, A&A, 648, A31
2021
-
[47]
H., et al
Luber, N., Müller, A., van Gorkom, J. H., et al. 2022, ApJ, 927, 39
2022
-
[48]
Machado, R. E. G., Grinberg, C. F. O., & Mello-Terencio, E. A. 2025, Galaxies, 13, 76
2025
-
[49]
M., Di Teodoro, E
Marasco, A., Fall, S. M., Di Teodoro, E. M., & Mancera Piña, P. E. 2025, A&A, 695, L23
2025
-
[50]
M., Vulcani, B., et al
Marasco, A., Poggianti, B. M., Vulcani, B., et al. 2026, A&A, 708, A18
2026
-
[51]
D., Condon, J
Mauch, T., Cotton, W. D., Condon, J. J., et al. 2020, ApJ, 888, 61
2020
-
[52]
McKee, C. F. & Cowie, L. L. 1977, ApJ, 215, 213
1977
-
[53]
2015, A&A, 575, A37
Mernier, F., de Plaa, J., Lovisari, L., et al. 2015, A&A, 575, A37
2015
-
[54]
2017, PASA, 34, 52 Molnár, D
Meyer, M., Robotham, A., Obreschkow, D., et al. 2017, PASA, 34, 52 Molnár, D. C., Serra, P., van der Hulst, T., et al. 2022, A&A, 659, A94
2017
-
[55]
1996, Nature, 379, 613
Moore, B., Katz, N., Lake, G., Dressler, A., & Oemler, A. 1996, Nature, 379, 613
1996
-
[56]
2017, A&A, 599, A81
Moretti, A., Gullieuszik, M., Poggianti, B., et al. 2017, A&A, 599, A81
2017
-
[57]
M., Fasano, G., et al
Moretti, A., Poggianti, B. M., Fasano, G., et al. 2014, A&A, 564, A138 Müller, A., Poggianti, B. M., Pfrommer, C., et al. 2021, Nature Astronomy, 5, 159
2014
-
[58]
J., Kenney, J
Murphy, E. J., Kenney, J. D. P., Helou, G., Chung, A., & Howell, J. H. 2009, ApJ, 694, 1435
2009
-
[59]
Nulsen, P. E. J. 1986, MNRAS, 221, 377
1986
-
[60]
R., McKinley, B., Hurley-Walker, N., et al
Offringa, A. R., McKinley, B., Hurley-Walker, N., et al. 2014, MNRAS, 444, 606
2014
-
[61]
R., van de Gronde, J
Offringa, A. R., van de Gronde, J. J., & Roerdink, J. B. T. M. 2012, A&A, 539, A95
2012
-
[62]
J., Santos, M
Pan, H., Jarvis, M. J., Santos, M. G., et al. 2023, MNRAS, 525, 256
2023
-
[63]
D., Laor, A., et al
Panessa, F., Baldi, R. D., Laor, A., et al. 2019, Nature Astronomy, 3, 387
2019
-
[64]
2026, A&A, 706, A111
Peluso, G., Delvecchio, I., Radcliffe, J., et al. 2026, A&A, 706, A111
2026
-
[65]
M., et al
Peluso, G., Vulcani, B., Poggianti, B. M., et al. 2022, ApJ, 927, 130
2022
-
[66]
& Dursi, L
Pfrommer, C. & Dursi, L. J. 2010, Nature Physics, 6, 520
2010
-
[67]
Pfrommer, C., Werhahn, M., Pakmor, R., Girichidis, P., & Simpson, C. M. 2022, MNRAS, 515, 4229
2022
-
[68]
M., Fasano, G., Omizzolo, A., et al
Poggianti, B. M., Fasano, G., Omizzolo, A., et al. 2016, AJ, 151, 78
2016
-
[69]
M., Jaffé, Y
Poggianti, B. M., Jaffé, Y . L., Moretti, A., et al. 2017, Nature, 548, 304
2017
-
[70]
M., Moretti, A., Gullieuszik, M., et al
Poggianti, B. M., Moretti, A., Gullieuszik, M., et al. 2017, ApJ, 844, 48
2017
-
[71]
Poggianti, B. M. & van Gorkom, J. H. 2001, in Astronomical Society of the Pacific Conference Series, V ol. 240, Gas and Galaxy Evolution, ed. J. E. Hi- bbard, M. Rupen, & J. H. van Gorkom, 599
2001
-
[72]
M., Vulcani, B., Tomicic, N., et al
Poggianti, B. M., Vulcani, B., Tomicic, N., et al. 2025, A&A, 699, A357
2025
-
[73]
M., et al
Ramatsoku, M., Serra, P., Poggianti, B. M., et al. 2020, A&A, 640, A22
2020
-
[74]
J., & Mulchaey, J
Rasmussen, J., Ponman, T. J., & Mulchaey, J. S. 2006, MNRAS, 370, 453
2006
-
[75]
& Peng, Y .-j
Renzini, A. & Peng, Y .-j. 2015, ApJ, 801, L29
2015
-
[76]
S., Casper, E
Reynolds, C. S., Casper, E. A., & Heinz, S. 2008, ApJ, 679, 1181
2008
-
[77]
N., Catinella, B., Cortese, L., et al
Reynolds, T. N., Catinella, B., Cortese, L., et al. 2022, MNRAS, 510, 1716
2022
-
[78]
2017, ApJ, 843, 128
Rhee, J., Smith, R., Choi, H., et al. 2017, ApJ, 843, 128
2017
-
[79]
Roberts, I. D. & Parker, L. C. 2020, MNRAS, 495, 554
2020
-
[80]
D., van Weeren, R
Roberts, I. D., van Weeren, R. J., McGee, S. L., et al. 2021, A&A, 650, A111
2021
-
[81]
2007, A&A, 463, 839
Rossetti, M., Ghizzardi, S., Molendi, S., & Finoguenov, A. 2007, A&A, 463, 839
2007
-
[82]
Ruszkowski, M., Brüggen, M., Lee, D., & Shin, M. S. 2014, ApJ, 784, 75
2014
-
[83]
Schlafly, E. F. & Finkbeiner, D. P. 2011, ApJ, 737, 103
2011
-
[84]
M., Kleiner, D., et al
Serra, P., Maccagni, F. M., Kleiner, D., et al. 2023, A&A, 673, A146 Article number, page 12 Ignesti et al.: An HI+radio continuum study of local cluster galaxies:
2023
-
[85]
2015, MNRAS, 448, 1922
Serra, P., Westmeier, T., Giese, N., et al. 2015, MNRAS, 448, 1922
2015
-
[86]
1930, Harvard College Observatory Bulletin, 874, 9
Shapley, H. 1930, Harvard College Observatory Bulletin, 874, 9
1930
-
[87]
2022, ApJ, 935, L13
Sinigaglia, F., Rodighiero, G., Elson, E., et al. 2022, ApJ, 935, L13
2022
-
[88]
F., Cutri, R
Skrutskie, M. F., Cutri, R. M., Stiening, R., et al. 2006, AJ, 131, 1163
2006
-
[89]
J., Lucey, J
Smith, R. J., Lucey, J. R., Hammer, D., et al. 2010, MNRAS, 408, 1417
2010
-
[90]
M., Manrique, A., García-Gómez, C., et al
Solanes, J. M., Manrique, A., García-Gómez, C., et al. 2001, ApJ, 548, 97
2001
-
[91]
2024, MNRAS, 527, 5829
Sparre, M., Pfrommer, C., & Puchwein, E. 2024, MNRAS, 527, 5829
2024
-
[92]
2021, Nature Astronomy, 6, 270
Sun, M., Ge, C., Luo, R., et al. 2021, Nature Astronomy, 6, 270
2021
-
[93]
L., & van Gorkom, J
Tonnesen, S., Bryan, G. L., & van Gorkom, J. H. 2007, ApJ, 671, 1434 van Gorkom, J. H. 2004, in Clusters of Galaxies: Probes of Cosmological Struc- ture and Galaxy Evolution, ed. J. S. Mulchaey, A. Dressler, & A. Oemler, 305
2007
-
[94]
2022, A&A, 660, A81 V ollmer, B., Beck, R., Kenney, J
Venturi, T., Giacintucci, S., Merluzzi, P., et al. 2022, A&A, 660, A81 V ollmer, B., Beck, R., Kenney, J. D. P., & van Gorkom, J. H. 2004, AJ, 127, 3375 V ollmer, B., Cayatte, V ., Balkowski, C., & Duschl, W. J. 2001, ApJ, 561, 708 V ollmer, B., Soida, M., Beck, R., et al. 201...
2022
-
[95]
2026, A&A, 708, A141
Vulcani, B., De Lucia, G., Zakharova, D., et al. 2026, A&A, 708, A141
2026
-
[96]
M., Moretti, A., et al
Vulcani, B., Poggianti, B. M., Moretti, A., et al. 2021, ApJ, 914, 27
2021
-
[97]
M., Smith, R., et al
Vulcani, B., Poggianti, B. M., Smith, R., et al. 2022, ApJ, 927, 91
2022
-
[98]
M., Tonnesen, S., et al
Vulcani, B., Poggianti, B. M., Tonnesen, S., et al. 2020, ApJ, 899, 98
2020
-
[99]
2021, ApJ, 915, 70
Wang, J., Staveley-Smith, L., Westmeier, T., et al. 2021, ApJ, 915, 70
2021
-
[100]
B., Cortese, L., Catinella, B., et al
Watts, A. B., Cortese, L., Catinella, B., et al. 2023, PASA, 40, e017
2023
-
[101]
2021, MNRAS, 508, 4072
Werhahn, M., Pfrommer, C., & Girichidis, P. 2021, MNRAS, 508, 4072
2021
-
[102]
W., Roellig, T
Werner, M. W., Roellig, T. L., Low, F. J., et al. 2004, ApJS, 154, 1
2004
-
[103]
2021, MNRAS, 506, 3962
Westmeier, T., Kitaeff, S., Pallot, D., et al. 2021, MNRAS, 506, 3962
2021
-
[104]
L., Eisenhardt, P
Wright, E. L., Eisenhardt, P. R. M., Mainzer, A. K., et al. 2010, AJ, 140, 1868
2010
-
[105]
2025, ApJ, 986, 38 Article number, page 13 A&A proofs:manuscript no
Yoon, H., Ivy Wong, O., Chung, A., & Huang, S. 2025, ApJ, 986, 38 Article number, page 13 A&A proofs:manuscript no. aa_example_v3 Appendix A: Full sample We report here the combined images for the full sample (Figure A.1) and the detailed information (Table A.1). Fig. A.1: Gal...
2025
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