REVIEW 2 major objections 5 minor 97 references
The Peculiar Mini-Halo in the Shapley Supercluster Member Abell 3558
T0 review · 2 major / 5 minor · reviewed 2026-08-06 · deepseek-v4-flash
Pith's one-line read Multi-band radio and X-ray maps show that the diffuse radio emission in Abell 3558 is a peculiar mini-halo, larger than previously known and powered by sloshing-induced turbulence.
desk verdict A careful, useful mini-halo study whose headline spectral index and frequency-dependent correlation slope are both hostage to the authors' own unpropagated 40% uGMRT uv-cut discrepancy. 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 central machinery is the multi-band, point-source-subtracted radio data matched to X-ray maps at a common 30-arcsecond beam: uGMRT 400 MHz, MeerKAT UHF 816 MHz, ASKAP 887 MHz and MeerKAT L-band 1283 MHz continuum images, with compact emission modelled at roughly 7-arcsecond resolution and subtracted in the visibility plane (in the image plane for ASKAP). The load-bearing tool is the point-to-point correlation of radio surface brightness against X-ray surface brightness and thermodynamic maps, run with the PT-REX pipeline and fitted with a Bayesian regression; the slope $k$ of the $I_R \propto I_X^k$ relation and its radial and frequency dependence carry the physical interpretation. Supporting machinery includes the spectral index and curvature maps made from the six MeerKAT subbands, the adaptive Gaussian Gradient Method map that locates the cold-front edge, and the X-ray residual map from an elliptical double-$\beta$ model that exposes the sloshing spiral. These are combined with the mini-halo size definition (radius within $0.2\,R_{500}$) and the mini-halo radio-power scaling relations to reach the classification.
What would settle it
Re-image the uGMRT 400 MHz data with a uv-cut matched to the MeerKAT bands and remeasure the flux within the same $3\sigma$ region. If the recovered flux falls by roughly 40 percent, as the paper's own matching test indicates, the integrated spectral index steepens substantially from 1.18 and the claimed monotonic frequency trend of the radio-X-ray slope must be re-derived. A second decisive test is a deeper low-frequency observation at 250-400 MHz: a genuinely separate, aged northern extension should appear clearly there, whereas an artefact of differential uv-coverage should weaken or vanish.
Extended reading notes
Core claim
On the authors' own terms, the discovery is that the diffuse radio emission at the centre of Abell 3558 is a peculiar mini-halo: a core-confined, sloshing-shaped synchrotron source rather than a merger-driven giant halo. Three quantitative results carry the claim. First, the emission is larger than previously thought, with a projected largest linear size of roughly 550 kpc, because a faint extension of about 100 kpc is detected to the north, beyond the innermost cold front and into a hot, X-ray-deficient cavity of high pressure. Second, the integrated spectrum between 400 MHz and 1569 MHz is steep but not ultra-steep, $\alpha = 1.18 \pm 0.10$, revising the earlier value of $2.3 \pm 0.4$ derived from ASKAP and L-band data alone; the paper attributes the earlier value to biased ASKAP point-source subtraction. Third, the radio-to-X-ray surface-brightness correlation is sublinear with a mean slope $\langle k \rangle = 0.62$, unusual for a mini-halo, and the slope increases monotonically with frequency when the lowest-fidelity ASKAP point is excluded. The spatial pattern of the spectral index, with a flat strip at the cold front and a steep, aged region in the northern cavity, plus positive spectral curvature at both ends, is interpreted as turbulent (re-)acceleration of fossil electrons by sloshing motions induced by a minor merger with the group SC1327–312 at a mass ratio of roughly 5:1.
Load-bearing premise
The four radio datasets measure the same physical diffuse emission even though they sample the sky differently: the uGMRT 400 MHz image was made without the short-spacing cut applied to the MeerKAT data, and the paper itself reports that applying the matching cut removes about 40 percent of the recovered uGMRT flux, an effect that is not propagated into the quoted spectral-index and correlation-slope uncertainties.
Editorial extensions
If this is right
- The mini-halo classification places A3558 on the established mini-halo scaling relations for radio power versus X-ray luminosity and BCG radio power, at the faint end, showing that those relations hold down to powers near $7\times10^{22}$ W/Hz.
- The sublinear mean correlation slope with a sublinear core that turns linear or superlinear in the outer regions matches the radial trend predicted by sloshing simulations of mini-halos.
- The flat-spectrum strip coincident with the peak of the X-ray gradient just inside the cold front indicates that cold fronts themselves act as local sites of electron (re-)acceleration.
- The positive spectral curvature at the northern and southern ends indicates electron ageing and argues against a single recent injection of particles as the sole explanation.
- The electron age of roughly 40 Myr, two orders of magnitude below a typical merger timescale, supports continuous in-situ (re-)acceleration rather than one ancient injection.
Reading between the lines
- If the frequency-steepening of the radio-X-ray slope is a generic property of turbulent re-acceleration, the slope itself could serve as an independent spectral diagnostic of the acceleration physics in other halos and mini-halos, complementing the integrated spectrum.
- The reported 40 percent flux loss when the uGMRT data are re-imaged with the MeerKAT uv-cut suggests that low-frequency diffuse-emission fluxes measured without such cuts may be systematically high; a cross-archive re-analysis of other halos could quantify how widespread this bias is.
- The sloshing-shaping interpretation implies that the northern extension terminates somewhere within the large-scale sloshing spiral; a deep low-frequency map should be able to test that predicted boundary, which the current data are too shallow to trace.
- If confirmed, A3558 would serve as a nearby template for the early phase of a 5:1 minor merger, where the geometry of the cold fronts and the radio morphology could be compared with simulations to constrain the merger impact parameter.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper presents a multi-frequency radio and X-ray study of the diffuse emission at the centre of Abell 3558, using new MeerKAT UHF-band and uGMRT Band-3 data together with previously published MeerKAT L-band and ASKAP 887 MHz images, complemented by archival XMM-Newton data. The authors report a previously undetected northern extension that increases the largest linear size of the emission to about 550 kpc, an integrated spectral index alpha = 1.18 +/- 0.10 between 400 and 1569 MHz, and a sub-linear point-to-point radio-X-ray surface brightness correlation whose slope apparently steepens with frequency. They interpret the source as a peculiar mini-halo powered by turbulent (re-)acceleration associated with gas sloshing caused by a minor merger with the group SC 1327-312. The analysis includes detailed compact-source subtraction, spectral index and curvature maps, radial profile fits, point-to-point correlation analyses, and comparisons with published mini-halo scaling relations.
Significance. If the quantitative results are robust, this paper is a valuable addition to the growing sample of anomalous or borderline mini-halos, and it provides one of the faintest mini-halos placed on the P_1.4GHz-L_X and P_1.4GHz-P_BCG scaling relations. The work is careful in many respects: the MeerKAT and uGMRT reductions are described in unusual detail, the compact-source subtraction is performed in the visibility plane for most datasets, the spectral index and curvature maps are used to connect the radio emission to X-ray sloshing features, and the authors explicitly test the effect of different uv-cuts on the uGMRT data. However, the central quantitative claims - the integrated spectral index and the frequency dependence of the I_R-I_X slope - currently rest on a 400 MHz measurement obtained with a different uv-range than the MeerKAT data, and the paper's own estimate of the resulting flux change is not propagated into the quoted uncertainties. This is a load-bearing issue that should be addressed before the qualitative conclusions are fully supported by the quantitative ones.
major comments (2)
- [Section 3.3, Table 3, Eq. (2), Section 5.2.1] The uGMRT 400 MHz flux density of 54.85 +/- 5.87 mJy listed in Table 3 is measured from an image made over the full uv-range, whereas the MeerKAT SRC-SUB images were made with a 0.2-18.3 klambda uv-cut. Section 3.3 states that matching the MeerKAT uv-range reduces the recovered uGMRT diffuse flux by approximately 40%. This systematic is not included in Eq. (2), whose terms are calibration, noise, and subtraction uncertainties only. A 40% reduction of the 400 MHz point shifts a two-point alpha(400/1283) from about 1.2 to about 0.8, several times the quoted +/-0.10 uncertainty, and will also shift the integrated spectral index fit in Figure 6. Because alpha = 1.18 +/- 0.10 is a headline result used to characterize the source as peculiar, the authors should either re-image the uGMRT residuals with the matched uv-cut and re-derive all affected quantities, or include a uv-coverage systematic term in Eq. (2) and demonstrate that the conclusions survive the shift.
- [Section 6.2, Table 6, Fig. 11] The same unmatched uGMRT image is used to derive the 400 MHz I_R-I_X slope k = 0.58 +/- 0.05 in Table 6. The claim that the correlation slope steepens monotonically with frequency is made after excluding the ASKAP 887 MHz point, leaving only three points (400, 816, 1283 MHz) in the linear fit shown in Figure 11. A 40% change in the uGMRT flux is not necessarily a uniform rescaling of the surface brightness distribution, so k(400) could shift significantly once the uv-cut is matched, and the monotonic trend could disappear. The paper should present k(400) from a matched-uv image or otherwise bound how much both the slope and the frequency trend can shift. Without this, the 'peculiar' sub-linear-and-steepening property of the correlation is not robustly established.
minor comments (5)
- [Section 4.1] The northern extension is described as 'just barely seen' in the uGMRT image and as detected in the MeerKAT data; since the reported 550 kpc largest linear size relies on this extension, a quantitative significance estimate for the extension in each band would help the reader judge how secure the size measurement is.
- [Section 5.2.1] The radio power P_1.4 GHz = 6.8 +/- 0.9 x 10^22 W/Hz is quoted without specifying whether it is derived from the fitted spectrum or directly from the 1283 MHz flux density; please state the calculation explicitly, since the value would change if the spectral index shifts.
- [Figure 11 and Section 6.2] The text says the correlation slopes 'exhibit a completely monotonic relationship with frequency' after ignoring ASKAP, but this is a fit to only three data points; the caption and text should state this limitation clearly and quote the significance of the trend without the 400 MHz point.
- [Section 3.3] When reporting that the matched uv-range reduces the uGMRT flux by about 40%, please specify the exact uv-range used in the comparison and whether the local noise in the matched-uv image was also recomputed; this would clarify whether the flux deficit reflects lost large-scale emission or simply a noisier image.
- [Table E1] The subtracted source list includes flux densities as low as 0.0006 mJy, well below the stated 18.5 microJy/beam noise of the high-resolution UHF image; please state the detection threshold used for inclusion and whether such faint entries are real sources or noise peaks that could affect the subtraction uncertainty estimate.
Circularity Check
No significant circularity: the spectral index and correlation slopes are measured quantities, and the mini-halo classification is checked against external scaling relations; the only flagged caveat is an unpropagated uv-filter systematic, not a circular step.
full rationale
The paper's central results are derived from direct measurements rather than from inputs that already contain the conclusions. The integrated spectral index alpha = 1.18 +/- 0.10 is a power-law fit to independent flux-density measurements listed in Table 3 and shown in Figure 6; it is not a fitted parameter renamed as a prediction. The radio/X-ray surface brightness slopes k in Figure 10 are point-to-point regressions at each frequency, and the frequency trend in Figure 11 is an empirical fit to those slopes, so no equation reduces to itself. The mini-halo classification is supported by the externally defined size criterion of Giacintucci et al. (2017), the observed sloshing/cold-front morphology, and a posteriori agreement with the Giacintucci et al. (2019) scaling relations; these scaling relations are external samples used as a consistency check, not as the source of the classification. Self-citations such as Venturi et al. (2022) and Rossetti et al. (2007) provide data products and previously established X-ray measurements, not an imported uniqueness theorem that forces the conclusion. The one explicit internal caveat is in Section 3.3: 'using a similar UV-range as the MeerKAT data after subtraction (0.2-18.3 kλ) reduced the recovered flux from the diffuse emission by approximately 40%. Thus, we did not use a UV-cut when imaging the uGMRT residuals.' This is a potential systematic affecting the 400 MHz flux, the integrated spectral index, and the k(400) point, but it is an accuracy/robustness concern rather than a circular derivation. No fitted parameter is announced as an independent prediction, and no part of the argument is equivalent by construction to its own input.
Assumptions & free parameters
free parameters (12)
- X-ray double-beta model: beta =
1.08 +/- 0.08
- X-ray double-beta model: inner core radius r_c1 =
2.13 +/- 0.13 arcmin
- X-ray double-beta model: outer core radius r_c2 =
9.1 +/- 0.5 arcmin
- X-ray double-beta model: normalization ratio =
0.40 +/- 0.01
- X-ray double-beta model: log normalization =
-1.33 +/- 0.01
- X-ray double-beta model: log background =
-3.06 +/- 0.05
- UHF-band north radial profile: I0, r_e (component 1) =
0.44 +/- 0.04 microJy/arcsec2, 158 +/- 10 arcsec
- UHF-band north radial profile: I0, r_e (component 2) =
0.55 +/- 0.14 microJy/arcsec2, 21 +/- 7 arcsec
- UHF-band south radial profile: I0, r_e =
0.64 +/- 0.02 microJy/arcsec2, 129 +/- 4 arcsec
- L-band north radial profile: I0, r_e =
0.34 +/- 0.01 microJy/arcsec2, 121 +/- 4 arcsec
- L-band south radial profile: I0, r_e =
0.37 +/- 0.01 microJy/arcsec2, 127 +/- 4 arcsec
- Point-to-point I_R-I_X correlation slopes k per frequency =
0.58 +/- 0.05 (400), 0.64 +/- 0.04 (816), 0.46 +/- 0.04 (887), 0.75 +/- 0.04 (1283)
assumptions (5)
- domain assumption The radio emission is synchrotron radiation from relativistic electrons.
- domain assumption Equipartition between magnetic field and relativistic particles with filling factor and proton-to-electron ratio of unity.
- domain assumption The mini-halo definition from Giacintucci et al. (2017) that mini-halos have a maximum radius of 0.2 R500.
- domain assumption The cold front positions from Rossetti et al. (2007) and Mirakhor et al. (2023) are correct.
- ad hoc to paper The different uv-coverage of the uGMRT and MeerKAT data does not introduce significant bias in the measured flux densities and spectral index.
Cite this review
Pith. "Pith review of The Peculiar Mini-Halo in the Shapley Supercluster Member Abell 3558." pith.science (2026). https://pith.science/paper/5UXHTAGZ
@misc{pith2026250707549,
author = {Pith},
title = {Pith review of: The Peculiar Mini-Halo in the Shapley Supercluster Member Abell 3558},
year = {2026},
howpublished = {\url{https://pith.science/paper/5UXHTAGZ}},
note = {Machine review of arXiv:2507.07549}
}
abstract
We present a multi-band study of the diffuse emission in the galaxy cluster Abell 3558, located in the core of the Shapley Supercluster. Using new MeerKAT UHF-Band and uGMRT Band-3 observations, and published MeerKAT L-band and ASKAP 887 MHz data, we perform a detailed analysis of the diffuse emission in the cluster centre. We complement with XMM-Newton X-ray information for a thorough study of the connection between the thermal and non-thermal properties of the cluster. We find that the diffuse radio emission in the cluster centre is more extended than published earlier, with a previously undetected extension spanning 100 kpc towards the north beyond the innermost cold front, increasing the total size of the emission to 550 kpc, and shows a clear spatial correlation with the X-ray features. The overall radio spectrum is steep ($\alpha_{\rm 400\,MHz}^{\rm 1569\,MHz}=1.18\pm0.10$), with local fluctuations which show several connections with the X-ray surface brightness, cold fronts, and residual emission. The point-to-point correlation between the radio and X-ray surface brightness is sub-linear, and steepens with increasing frequency. We discuss the classification of the diffuse emission considering its overall properties, those of the ICM, and the existing scaling laws between the radio and X-ray quantities in galaxy clusters. We conclude that it is a mini-halo, powered by turbulent (re)-acceleration induced by sloshing motions within the cluster region delimited by the cold fronts, and it supports the picture of a known minor merger between A\,3558 and the group SC\,1327--312 with mass ratio 5:1.
Figures
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Works this paper leans on
-
[1]
Balboni M., et al., 2024, @doi [ ] 10.1051/0004-6361/202347965 , https://ui.adsabs.harvard.edu/abs/2024A&A...686A...5B 686, A5
-
[2]
Bardelli S., De Grandi S., Ettori S., Molendi S., Zucca E., Colafrancesco S., 2002, @doi [ ] 10.1051/0004-6361:20011665 , https://ui.adsabs.harvard.edu/abs/2002A&A...382...17B 382, 17
-
[3]
Biava N., et al., 2021, @doi [ ] 10.1093/mnras/stab2840 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.508.3995B 508, 3995
-
[4]
Biava N., et al., 2024, @doi [ ] 10.1051/0004-6361/202348045 , https://ui.adsabs.harvard.edu/abs/2024A&A...686A..82B 686, A82
-
[5]
Bonafede A., et al., 2014, @doi [ ] 10.1093/mnrasl/slu110 , https://ui.adsabs.harvard.edu/abs/2014MNRAS.444L..44B 444, L44
-
[6]
Bonafede A., et al., 2021, @doi [ ] 10.3847/1538-4357/abcb8f , https://ui.adsabs.harvard.edu/abs/2021ApJ...907...32B 907, 32
-
[7]
Botteon A., et al., 2020, @doi [ ] 10.1093/mnrasl/slaa142 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.499L..11B 499, L11
-
[8]
Brunetti G., Jones T. W., 2014, @doi [International Journal of Modern Physics D] 10.1142/S0218271814300079 , https://ui.adsabs.harvard.edu/abs/2014IJMPD..2330007B 23, 1430007
Show all 97 references
-
[9]
Brunetti G., et al., 2008, @doi [ ] 10.1038/nature07379 , https://ui.adsabs.harvard.edu/abs/2008Natur.455..944B 455, 944
2008 doi
-
[10]
Bruno L., et al., 2021, @doi [ ] 10.1051/0004-6361/202039877 , https://ui.adsabs.harvard.edu/abs/2021A&A...650A..44B 650, A44
2021 doi
-
[11]
Bruno L., et al., 2023, @doi [ ] 10.1051/0004-6361/202347245 , https://ui.adsabs.harvard.edu/abs/2023A&A...678A.133B 678, A133
2023 doi
-
[12]
A., 2001, @doi [ ] 10.1086/320500 , https://ui.adsabs.harvard.edu/abs/2001ApJ...553L..15B 553, L15
Buote D. A., 2001, @doi [ ] 10.1086/320500 , https://ui.adsabs.harvard.edu/abs/2001ApJ...553L..15B 553, L15
2001 doi
-
[13]
CASA Team et al., 2022, @doi [ ] 10.1088/1538-3873/ac9642 , https://ui.adsabs.harvard.edu/abs/2022PASP..134k4501C 134, 114501
2022 doi
-
[14]
Cappellari M., Copin Y., 2003, @doi [ ] 10.1046/j.1365-8711.2003.06541.x , https://ui.adsabs.harvard.edu/abs/2003MNRAS.342..345C 342, 345
2003
-
[15]
Cassano R., Brunetti G., Setti G., 2006, @doi [ ] 10.1111/j.1365-2966.2006.10423.x , https://ui.adsabs.harvard.edu/abs/2006MNRAS.369.1577C 369, 1577
2006
-
[16]
Cassano R., Ettori S., Giacintucci S., Brunetti G., Markevitch M., Venturi T., Gitti M., 2010, @doi [ ] 10.1088/2041-8205/721/2/L82 , https://ui.adsabs.harvard.edu/abs/2010ApJ...721L..82C 721, L82
2010 doi
-
[17]
Cassano R., et al., 2013, @doi [ ] 10.1088/0004-637X/777/2/141 , https://ui.adsabs.harvard.edu/abs/2013ApJ...777..141C 777, 141
2013 doi
-
[18]
Cassano R., Brunetti G., Giocoli C., Ettori S., 2016, @doi [ ] 10.1051/0004-6361/201628414 , https://ui.adsabs.harvard.edu/abs/2016A&A...593A..81C 593, A81
2016 doi
-
[19]
Chandra P., Ray A., Bhatnagar S., 2004, @doi [ ] 10.1086/422675 , https://ui.adsabs.harvard.edu/abs/2004ApJ...612..974C 612, 974
2004 doi
-
[20]
Cuciti V., et al., 2021, @doi [ ] 10.1051/0004-6361/202039208 , https://ui.adsabs.harvard.edu/abs/2021A&A...647A..51C 647, A51
2021 doi
-
[21]
Cuciti V., et al., 2023, @doi [ ] 10.1051/0004-6361/202346755 , https://ui.adsabs.harvard.edu/abs/2023A&A...680A..30C 680, A30
2023 doi
-
[22]
Dey A., et al., 2019, @doi [ ] 10.3847/1538-3881/ab089d , https://ui.adsabs.harvard.edu/abs/2019AJ....157..168D 157, 168
2019 doi
-
[23]
Di Gennaro G., et al., 2018, @doi [ ] 10.1051/0004-6361/201832801 , https://ui.adsabs.harvard.edu/abs/2018A&A...620A..25D 620, A25
2018 doi
- [24]
-
[25]
Dolag K., Sorce J. G., Pilipenko S., Hern \'a ndez-Mart \' nez E., Valentini M., Gottl \"o ber S., Aghanim N., Khabibullin I., 2023, @doi [ ] 10.1051/0004-6361/202346213 , https://ui.adsabs.harvard.edu/abs/2023A&A...677A.169D 677, A169
2023 doi
-
[26]
Eckert D., Finoguenov A., Ghirardini V., Grandis S., Kaefer F., Sanders J., Ramos-Ceja M., 2020, @doi [The Open Journal of Astrophysics] 10.21105/astro.2009.13944 , https://ui.adsabs.harvard.edu/abs/2020OJAp....3E..12E 3, 12
2020 arXiv
-
[27]
u tsi G., Einasto M., Saar E., Tucker D. L., M \
Einasto J., H \"u tsi G., Einasto M., Saar E., Tucker D. L., M \"u ller V., Hein \"a m \"a ki P., Allam S. S., 2003a, @doi [ ] 10.1051/0004-6361:20030419 , https://ui.adsabs.harvard.edu/abs/2003A&A...405..425E 405, 425
-
[28]
Einasto J., et al., 2003b, @doi [ ] 10.1051/0004-6361:20031105 , https://ui.adsabs.harvard.edu/abs/2003A&A...410..425E 410, 425
-
[29]
C., White D
Ettori S., Fabian A. C., White D. A., 1997, @doi [ ] 10.1093/mnras/289.4.787 , https://ui.adsabs.harvard.edu/abs/1997MNRAS.289..787E 289, 787
1997 doi
-
[30]
J., Briel U
Finoguenov A., Henriksen M. J., Briel U. G., de Plaa J., Kaastra J. S., 2004, @doi [ ] 10.1086/422246 , https://ui.adsabs.harvard.edu/abs/2004ApJ...611..811F 611, 811
2004 doi
-
[31]
Ghirardini V., et al., 2019, @doi [ ] 10.1051/0004-6361/201833325 , https://ui.adsabs.harvard.edu/abs/2019A&A...621A..41G 621, A41
2019 doi
-
[32]
Giacintucci S., Venturi T., Bardelli S., Dallacasa D., Zucca E., 2004, @doi [ ] 10.1051/0004-6361:20040071 , https://ui.adsabs.harvard.edu/abs/2004A&A...419...71G 419, 71
2004 doi
-
[33]
Giacintucci S., et al., 2005, @doi [ ] 10.1051/0004-6361:20053016 , https://ui.adsabs.harvard.edu/abs/2005A&A...440..867G 440, 867
2005 doi
-
[34]
E., Brunetti G., 2017, @doi [ ] 10.3847/1538-4357/aa7069 , https://ui.adsabs.harvard.edu/abs/2017ApJ...841...71G 841, 71
Giacintucci S., Markevitch M., Cassano R., Venturi T., Clarke T. E., Brunetti G., 2017, @doi [ ] 10.3847/1538-4357/aa7069 , https://ui.adsabs.harvard.edu/abs/2017ApJ...841...71G 841, 71
2017 doi
-
[35]
E., Kale R., Cuciti V., 2019, @doi [ ] 10.3847/1538-4357/ab29f1 , https://ui.adsabs.harvard.edu/abs/2019ApJ...880...70G 880, 70
Giacintucci S., Markevitch M., Cassano R., Venturi T., Clarke T. E., Kale R., Cuciti V., 2019, @doi [ ] 10.3847/1538-4357/ab29f1 , https://ui.adsabs.harvard.edu/abs/2019ApJ...880...70G 880, 70
2019 doi
-
[36]
Giacintucci S., et al., 2022, @doi [ ] 10.3847/1538-4357/ac7805 , https://ui.adsabs.harvard.edu/abs/2022ApJ...934...49G 934, 49
2022 doi
-
[37]
E., Kale R., 2024, @doi [ ] 10.3847/1538-4357/ad12bc , https://ui.adsabs.harvard.edu/abs/2024ApJ...961..133G 961, 133
Giacintucci S., Venturi T., Markevitch M., Brunetti G., Clarke T. E., Kale R., 2024, @doi [ ] 10.3847/1538-4357/ad12bc , https://ui.adsabs.harvard.edu/abs/2024ApJ...961..133G 961, 133
2024 doi
-
[38]
Govoni F., Feretti L., 2004, @doi [International Journal of Modern Physics D] 10.1142/S0218271804005080 , https://ui.adsabs.harvard.edu/abs/2004IJMPD..13.1549G 13, 1549
2004 doi
-
[39]
A., Feretti L., Giovannini G., 2001a, @doi [ ] 10.1051/0004-6361:20010115 , https://ui.adsabs.harvard.edu/abs/2001A&A...369..441G 369, 441
Govoni F., En lin T. A., Feretti L., Giovannini G., 2001a, @doi [ ] 10.1051/0004-6361:20010115 , https://ui.adsabs.harvard.edu/abs/2001A&A...369..441G 369, 441
-
[40]
H., Murgia M., 2001b, @doi [ ] 10.1051/0004-6361:20011016 , https://ui.adsabs.harvard.edu/abs/2001A&A...376..803G 376, 803
Govoni F., Feretti L., Giovannini G., B \"o hringer H., Reiprich T. H., Murgia M., 2001b, @doi [ ] 10.1051/0004-6361:20011016 , https://ui.adsabs.harvard.edu/abs/2001A&A...376..803G 376, 803
-
[41]
Govoni F., et al., 2019, @doi [Science] 10.1126/science.aat7500 , https://ui.adsabs.harvard.edu/abs/2019Sci...364..981G 364, 981
2019 doi
-
[42]
Gupta Y., et al., 2017, @doi [Current Science] 10.18520/cs/v113/i04/707-714 , https://ui.adsabs.harvard.edu/abs/2017CSci..113..707G 113, 707
2017 doi
-
[43]
P., et al., 2018, @doi [ ] 10.1093/mnras/sty2338 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.481.1055H 481, 1055
Haines C. P., et al., 2018, @doi [ ] 10.1093/mnras/sty2338 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.481.1055H 481, 1055
2018 doi
-
[44]
P., Busarello G., Grado A., Mercurio A., 2020, @doi [ ] 10.1093/mnras/staa1766 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.497...52H 497, 52
Higuchi Y., Okabe N., Merluzzi P., Haines C. P., Busarello G., Grado A., Mercurio A., 2020, @doi [ ] 10.1093/mnras/staa1766 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.497...52H 497, 52
2020 doi
-
[45]
N., et al., 2025, @doi [ ] 10.1051/0004-6361/202452052 , https://ui.adsabs.harvard.edu/abs/2025A&A...695A.240H 695, A240
Hoang D. N., et al., 2025, @doi [ ] 10.1051/0004-6361/202452052 , https://ui.adsabs.harvard.edu/abs/2025A&A...695A.240H 695, A240
2025 doi
-
[46]
W., et al., 2021, @doi [ ] 10.1017/pasa.2021.1 , https://ui.adsabs.harvard.edu/abs/2021PASA...38....9H 38, e009
Hotan A. W., et al., 2021, @doi [ ] 10.1017/pasa.2021.1 , https://ui.adsabs.harvard.edu/abs/2021PASA...38....9H 38, e009
2021 doi
-
[47]
V., Perkins S., Merry B., Mauch T., Smirnov O
Hugo B. V., Perkins S., Merry B., Mauch T., Smirnov O. M., 2022, in Ruiz J. E., Pierfedereci F., Teuben P., eds, Astronomical Society of the Pacific Conference Series Vol. 532, Astronomical Data Analysis Software and Systems XXX. p. 541 ( @eprint arXiv 2206.09179 ), @doi 10.48...
-
[48]
Ignesti A., 2022, @doi [ ] 10.1016/j.newast.2021.101732 , https://ui.adsabs.harvard.edu/abs/2022NewA...9201732I 92, 101732
2022
-
[49]
Ignesti A., Brunetti G., Gitti M., Giacintucci S., 2020, @doi [ ] 10.1051/0004-6361/201937207 , https://ui.adsabs.harvard.edu/abs/2020A&A...640A..37I 640, A37
2020 doi
- [50]
-
[51]
Jonas J., MeerKAT Team 2016, in MeerKAT Science: On the Pathway to the SKA. p. 1, @doi 10.22323/1.277.0001
2016 doi
-
[52]
Jones A., et al., 2023, @doi [ ] 10.1051/0004-6361/202245102 , https://ui.adsabs.harvard.edu/abs/2023A&A...680A..31J 680, A31
2023 doi
-
[53]
J \'o zsa G. I. G., et al., 2020, CARACal: Containerized Automated Radio Astronomy Calibration pipeline , Astrophysics Source Code Library, record ascl:2006.014
2020
-
[54]
Kale R., et al., 2015a, @doi [ ] 10.1051/0004-6361/201525695 , https://ui.adsabs.harvard.edu/abs/2015A&A...579A..92K 579, A92
-
[55]
Kale R., Venturi T., Cassano R., Giacintucci S., Bardelli S., Dallacasa D., Zucca E., 2015b, @doi [ ] 10.1051/0004-6361/201526341 , https://ui.adsabs.harvard.edu/abs/2015A&A...581A..23K 581, A23
-
[56]
M., Parekh V., 2019, @doi [ ] 10.1093/mnrasl/slz061 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.486L..80K 486, L80
Kale R., Shende K. M., Parekh V., 2019, @doi [ ] 10.1093/mnrasl/slz061 , https://ui.adsabs.harvard.edu/abs/2019MNRAS.486L..80K 486, L80
2019 doi
-
[57]
C., 2007, @doi [ ] 10.1086/519947 , https://ui.adsabs.harvard.edu/abs/2007ApJ...665.1489K 665, 1489
Kelly B. C., 2007, @doi [ ] 10.1086/519947 , https://ui.adsabs.harvard.edu/abs/2007ApJ...665.1489K 665, 1489
2007 doi
- [58]
-
[59]
Markevitch M., Vikhlinin A., 2007, @doi [ ] 10.1016/j.physrep.2007.01.001 , https://ui.adsabs.harvard.edu/abs/2007PhR...443....1M 443, 1
2007 doi
-
[60]
Mazzotta P., Giacintucci S., 2008, @doi [ ] 10.1086/529433 , https://ui.adsabs.harvard.edu/abs/2008ApJ...675L...9M 675, L9
2008 doi
-
[61]
Merluzzi P., et al., 2015, @doi [ ] 10.1093/mnras/stu2085 , https://ui.adsabs.harvard.edu/abs/2015MNRAS.446..803M 446, 803
2015 doi
-
[62]
A., Haines C
Merluzzi P., Busarello G., Dopita M. A., Haines C. P., Steinhauser D., Bourdin H., Mazzotta P., 2016, @doi [ ] 10.1093/mnras/stw1198 , https://ui.adsabs.harvard.edu/abs/2016MNRAS.460.3345M 460, 3345
2016 doi
-
[63]
Merluzzi P., et al., 2024, @doi [ ] 10.1093/mnras/stae1867 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.533.1394M 533, 1394
2024 doi
-
[64]
A., 2005, @doi [ ] 10.1086/497165 , https://ui.adsabs.harvard.edu/abs/2005AJ....130.2541M 130, 2541
Miller N. A., 2005, @doi [ ] 10.1086/497165 , https://ui.adsabs.harvard.edu/abs/2005AJ....130.2541M 130, 2541
2005 doi
-
[65]
S., Walker S
Mirakhor M. S., Walker S. A., Sundquist M., Chandra D., 2023, @doi [ ] 10.1093/mnrasl/slad129 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.526L.124M 526, L124
2023 doi
-
[66]
Mohan N., Rafferty D., 2015, PyBDSF: Python Blob Detection and Source Finder , Astrophysics Source Code Library, record ascl:1502.007
2015
-
[67]
B., Carretti E., 2009, @doi [ ] 10.1051/0004-6361/200911659 , https://ui.adsabs.harvard.edu/abs/2009A&A...499..679M 499, 679
Murgia M., Govoni F., Markevitch M., Feretti L., Giovannini G., Taylor G. B., Carretti E., 2009, @doi [ ] 10.1051/0004-6361/200911659 , https://ui.adsabs.harvard.edu/abs/2009A&A...499..679M 499, 679
2009 doi
-
[68]
V., et al., 2024, @doi [ ] 10.1051/0004-6361/202450051 , https://ui.adsabs.harvard.edu/abs/2024A&A...685L..10P 685, L10
Pignataro G. V., et al., 2024, @doi [ ] 10.1051/0004-6361/202450051 , https://ui.adsabs.harvard.edu/abs/2024A&A...685L..10P 685, L10
2024 doi
-
[69]
Planck Collaboration et al., 2014a, @doi [ ] 10.1051/0004-6361/201321591 , https://ui.adsabs.harvard.edu/abs/2014A&A...571A..16P 571, A16
-
[70]
Planck Collaboration et al., 2014b, @doi [ ] 10.1051/0004-6361/201321523 , https://ui.adsabs.harvard.edu/abs/2014A&A...571A..29P 571, A29
-
[71]
Proust D., et al., 2006, @doi [ ] 10.1051/0004-6361:20052838 , https://ui.adsabs.harvard.edu/abs/2006A&A...447..133P 447, 133
2006 doi
-
[72]
R., Reisenegger A., 2020, @doi [ ] 10.1051/0004-6361/202037726 , https://ui.adsabs.harvard.edu/abs/2020A&A...638A..27Q 638, A27
Quintana H., Proust D., D \"u nner R., Carrasco E. R., Reisenegger A., 2020, @doi [ ] 10.1051/0004-6361/202037726 , https://ui.adsabs.harvard.edu/abs/2020A&A...638A..27Q 638, A27
2020 doi
-
[73]
Raja R., et al., 2020, @doi [ ] 10.1093/mnrasl/slaa002 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.493L..28R 493, L28
2020 doi
-
[74]
M., 2024, @doi [ ] 10.3847/1538-4357/ad7585 , https://ui.adsabs.harvard.edu/abs/2024ApJ...975..125R 975, 125
Raja R., Rahaman M., Datta A., Smirnov O. M., 2024, @doi [ ] 10.3847/1538-4357/ad7585 , https://ui.adsabs.harvard.edu/abs/2024ApJ...975..125R 975, 125
2024 doi
-
[75]
Rajpurohit K., et al., 2021, @doi [ ] 10.1051/0004-6361/202141060 , https://ui.adsabs.harvard.edu/abs/2021A&A...654A..41R 654, A41
2021 doi
-
[76]
Richard-Laferri \`e re A., et al., 2020, @doi [ ] 10.1093/mnras/staa2877 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.499.2934R 499, 2934
2020 doi
-
[77]
J., et al., 2022, @doi [ ] 10.1093/mnras/stac672 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.512.4210R 512, 4210
Riseley C. J., et al., 2022, @doi [ ] 10.1093/mnras/stac672 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.512.4210R 512, 4210
2022 doi
-
[78]
J., et al., 2023, @doi [ ] 10.1093/mnras/stad2218 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.524.6052R 524, 6052
Riseley C. J., et al., 2023, @doi [ ] 10.1093/mnras/stad2218 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.524.6052R 524, 6052
2023 doi
-
[79]
J., et al., 2024, @doi [ ] 10.1051/0004-6361/202348944 , https://ui.adsabs.harvard.edu/abs/2024A&A...686A..44R 686, A44
Riseley C. J., et al., 2024, @doi [ ] 10.1051/0004-6361/202348944 , https://ui.adsabs.harvard.edu/abs/2024A&A...686A..44R 686, A44
2024 doi
-
[80]
Roediger E., Vaezzadeh I., Nulsen P., 2024, @doi [ ] 10.1093/mnras/stae493 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.529..563R 529, 563
2024 doi
-
[81]
Rossetti M., Ghizzardi S., Molendi S., Finoguenov A., 2007, @doi [ ] 10.1051/0004-6361:20054621 , https://ui.adsabs.harvard.edu/abs/2007A&A...463..839R 463, 839
2007 doi
-
[82]
S., et al., 2022, @doi [ ] 10.1051/0004-6361/202141501 , https://ui.adsabs.harvard.edu/abs/2022A&A...661A..36S 661, A36
Sanders J. S., et al., 2022, @doi [ ] 10.1051/0004-6361/202141501 , https://ui.adsabs.harvard.edu/abs/2022A&A...661A..36S 661, A36
2022 doi
-
[83]
Savini F., et al., 2018, @doi [ ] 10.1093/mnras/sty1125 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.478.2234S 478, 2234
2018 doi
-
[84]
Savini F., et al., 2019, @doi [ ] 10.1051/0004-6361/201833882 , https://ui.adsabs.harvard.edu/abs/2019A&A...622A..24S 622, A24
2019 doi
- [85]
-
[86]
L., Mushotzky R
Snowden S. L., Mushotzky R. F., Kuntz K. D., Davis D. S., 2008, @doi [ ] 10.1051/0004-6361:20077930 , https://ui.adsabs.harvard.edu/abs/2008A&A...478..615S 478, 615
2008 doi
-
[87]
S., et al., 2023, @doi [ ] 10.1093/mnras/stad391 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.520.4410T 520, 4410
Trehaeven K. S., et al., 2023, @doi [ ] 10.1093/mnras/stad391 , https://ui.adsabs.harvard.edu/abs/2023MNRAS.520.4410T 520, 4410
2023 doi
-
[88]
W., 2000, @doi [ ] 10.1046/j.1365-8711.2000.03403.x , https://ui.adsabs.harvard.edu/abs/2000MNRAS.314..594V 314, 594
Venturi T., Bardelli S., Morganti R., Hunstead R. W., 2000, @doi [ ] 10.1046/j.1365-8711.2000.03403.x , https://ui.adsabs.harvard.edu/abs/2000MNRAS.314..594V 314, 594
2000
-
[89]
Venturi T., Giacintucci S., Dallacasa D., Cassano R., Brunetti G., Bardelli S., Setti G., 2008, @doi [ ] 10.1051/0004-6361:200809622 , https://ui.adsabs.harvard.edu/abs/2008A&A...484..327V 484, 327
2008 doi
-
[90]
Venturi T., et al., 2017, @doi [ ] 10.1051/0004-6361/201630014 , https://ui.adsabs.harvard.edu/abs/2017A&A...603A.125V 603, A125
2017 doi
-
[91]
Venturi T., et al., 2022, @doi [ ] 10.1051/0004-6361/202142048 , https://ui.adsabs.harvard.edu/abs/2022A&A...660A..81V 660, A81
2022 doi
-
[92]
A., Markevitch M., Brunetti G., Giacintucci S., 2013, @doi [ ] 10.1088/0004-637X/762/2/78 , https://ui.adsabs.harvard.edu/abs/2013ApJ...762...78Z 762, 78
ZuHone J. A., Markevitch M., Brunetti G., Giacintucci S., 2013, @doi [ ] 10.1088/0004-637X/762/2/78 , https://ui.adsabs.harvard.edu/abs/2013ApJ...762...78Z 762, 78
2013 doi
-
[93]
A., Brunetti G., Giacintucci S., Markevitch M., 2015, @doi [ ] 10.1088/0004-637X/801/2/146 , https://ui.adsabs.harvard.edu/abs/2015ApJ...801..146Z 801, 146
ZuHone J. A., Brunetti G., Giacintucci S., Markevitch M., 2015, @doi [ ] 10.1088/0004-637X/801/2/146 , https://ui.adsabs.harvard.edu/abs/2015ApJ...801..146Z 801, 146
2015 doi
-
[94]
de Filippis E., Schindler S., Erben T., 2005, @doi [ ] 10.1051/0004-6361:20053675 , https://ui.adsabs.harvard.edu/abs/2005A&A...444..387D 444, 387
2005 doi
-
[95]
P., et al., 2013, @doi [ ] 10.1051/0004-6361/201220873 , https://ui.adsabs.harvard.edu/abs/2013A&A...556A...2V 556, A2
van Haarlem M. P., et al., 2013, @doi [ ] 10.1051/0004-6361/201220873 , https://ui.adsabs.harvard.edu/abs/2013A&A...556A...2V 556, A2
2013 doi
-
[96]
van Weeren R. J., de Gasperin F., Akamatsu H., Br \"u ggen M., Feretti L., Kang H., Stroe A., Zandanel F., 2019, @doi [ ] 10.1007/s11214-019-0584-z , https://ui.adsabs.harvard.edu/abs/2019SSRv..215...16V 215, 16
2019 doi
-
[97]
J., et al., 2024, @doi [ ] 10.1051/0004-6361/202451618 , https://ui.adsabs.harvard.edu/abs/2024A&A...692A..12V 692, A12
van Weeren R. J., et al., 2024, @doi [ ] 10.1051/0004-6361/202451618 , https://ui.adsabs.harvard.edu/abs/2024A&A...692A..12V 692, A12
2024 doi
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