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arxiv: 2605.20779 · v1 · pith:O4LNAVGUnew · submitted 2026-05-20 · 🌌 astro-ph.HE

A MINOT-based Study of Gamma-ray emission from SPT-CL J2012-5649/Abell 3667

Pith reviewed 2026-05-21 03:52 UTC · model grok-4.3

classification 🌌 astro-ph.HE
keywords galaxy clustersgamma-ray emissioncosmic ray protonshadronic interactionsFermi-LATAbell 3667non-thermal emissionmerging clusters
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The pith

MINOT modeling finds hadronic gamma-ray flux from Abell 3667 matches Fermi-LAT level in magnitude but not in spectral shape.

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

This paper applies the MINOT framework to calculate non-thermal gamma-ray emission from the merging galaxy cluster Abell 3667. The authors compute the expected output from cosmic-ray proton collisions with the intracluster medium, which produce neutral pions that decay into gamma rays. The total predicted flux reaches the same order of magnitude as the Fermi-LAT detection when integrated out to large radii. Most of this emission is calculated to come from outside the standard R500 boundary of the cluster. The model however gives a spectral index near -2.5 while the data show a steeper value near -3.6, creating a clear mismatch in shape.

Core claim

Using the MINOT non-thermal emission modelling framework on SPT-CL J2012-5649/Abell 3667, the predicted hadronic gamma-ray flux from pp interactions in the 1-300 GeV band is 2.82 × 10^{-11} cm^{-2} s^{-1} within R500, rising to 1.15 × 10^{-10} cm^{-2} s^{-1} at the truncation radius of 3.7 R500. This is in order-of-magnitude agreement with the Fermi-LAT reported flux of 1.3 × 10^{-10} cm^{-2} s^{-1}. Approximately 76% of the predicted hadronic flux originates from beyond R500. The IC contribution from cosmic-ray electrons is subdominant by a factor of ~20. The expected hadronic flux agrees approximately with the observed level but the observed spectral index of -3.61 ± 0.33 is in tensionwith

What carries the argument

MINOT non-thermal emission modelling framework that computes gamma-ray output from hadronic proton-proton interactions and inverse Compton scattering across the cluster volume.

If this is right

  • Approximately 76 percent of the predicted hadronic gamma-ray flux comes from outside the R500 radius.
  • Inverse Compton emission from cosmic-ray electrons is weaker than the hadronic component by a factor of about 20 in the 1-300 GeV band.
  • The order-of-magnitude flux match holds only if the cosmic-ray proton population extends to the truncation radius.
  • The spectral mismatch shows that a simple hadronic model cannot fully reproduce the observed Fermi-LAT data for this cluster.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The tension in spectral index may require models with energy-dependent proton transport or varying acceleration efficiency across the merger.
  • Similar MINOT-style calculations on other merging clusters could test whether flux agreement without spectral agreement is typical.
  • Higher-resolution gamma-ray observations could map whether emission is truly extended to several times R500 as the model requires.

Load-bearing premise

Cosmic-ray protons follow a fixed power-law spectrum and spatial distribution that produces a gamma-ray spectral index of roughly -2.4 to -2.6.

What would settle it

A precise measurement of the gamma-ray spectral index between 1 and 300 GeV that is consistent with -2.5 would support the hadronic model while a confirmed value near -3.6 would indicate the model does not describe the dominant emission process.

Figures

Figures reproduced from arXiv: 2605.20779 by Shantanu Desai, Siddhant Manna.

Figure 1
Figure 1. Figure 1: FIG. 1: Electron energy loss rates in the A3667 ICM as a function of electron energy, evaluated at [PITH_FULL_IMAGE:figures/full_fig_p007_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: FIG. 2: Magnetic field strength profile of A3667 from Eq. ( [PITH_FULL_IMAGE:figures/full_fig_p009_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3: Normalized CR-to-thermal energy ratio [PITH_FULL_IMAGE:figures/full_fig_p010_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: FIG. 4: Electron density profile of A3667 derived from the best-fit [PITH_FULL_IMAGE:figures/full_fig_p011_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: FIG. 5: The thermal pressure profile of A3667 derived from the self-consistent relation [PITH_FULL_IMAGE:figures/full_fig_p012_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: FIG. 6: Temperature profile of A3667 derived from the power-law fit [PITH_FULL_IMAGE:figures/full_fig_p013_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: FIG. 7: Predicted gamma-ray spectral energy distribution of A3667 from hadronic [PITH_FULL_IMAGE:figures/full_fig_p014_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: FIG. 8: Enclosed gamma-ray flux [PITH_FULL_IMAGE:figures/full_fig_p015_8.png] view at source ↗
Figure 9
Figure 9. Figure 9: FIG. 9: Predicted gamma-ray surface brightness map of A3667 in the [PITH_FULL_IMAGE:figures/full_fig_p016_9.png] view at source ↗
Figure 10
Figure 10. Figure 10: FIG. 10: Predicted IC spectral energy distribution of A3667 integrated over the full cluster volume to [PITH_FULL_IMAGE:figures/full_fig_p017_10.png] view at source ↗
Figure 11
Figure 11. Figure 11: FIG. 11: Enclosed IC flux [PITH_FULL_IMAGE:figures/full_fig_p018_11.png] view at source ↗
Figure 12
Figure 12. Figure 12: FIG. 12: Predicted IC surface brightness map of A3667 in the [PITH_FULL_IMAGE:figures/full_fig_p018_12.png] view at source ↗
Figure 13
Figure 13. Figure 13: FIG. 13: Derived thermodynamic profiles of A3667 evaluated from the [PITH_FULL_IMAGE:figures/full_fig_p022_13.png] view at source ↗
read the original abstract

We present an analysis of the non-thermal properties of the merging galaxy cluster SPT-CL J2012-5649/Abell~3667 ($z = 0.0556$, $M_{500} = 7.16 \times 10^{14}\ M_\odot$) using the MINOT non-thermal emission modelling framework. The predicted hadronic gamma-ray flux from $pp$ interactions in the $1$--$300\ \mathrm{GeV}$ band is $2.82 \times 10^{-11}\ \mathrm{cm^{-2}\ s^{-1}}$ within $R_{500}$, rising to $1.15 \times 10^{-10}\ \mathrm{cm^{-2}\ s^{-1}}$ at the truncation radius ($3.7\,R_{500}$), in order-of-magnitude agreement with the Fermi-LAT reported flux of $1.3 \times 10^{-10}\ \mathrm{cm^{-2}\ s^{-1}}$. Approximately $76\%$ of the predicted hadronic flux originates from beyond $R_{500}$. The IC contribution from cosmic-ray electrons is subdominant relative to the hadronic $\pi^0$-decay gamma-ray component by a factor of ${\sim}20$ in the $1$--$300\ \mathrm{GeV}$ energy band, and therefore does not contribute significantly to the observable signal. Although the expected hadronic flux is in approximate agreement with the observed Fermi-LAT flux level in the $1$--$300\ \mathrm{GeV}$ band, the observed spectral index ($\Gamma = -3.61 \pm 0.33$) is in tension with the hadronic prediction ($\Gamma \approx -2.4$ to $-2.6$).

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

1 major / 1 minor

Summary. The manuscript analyzes the non-thermal gamma-ray emission from the merging galaxy cluster SPT-CL J2012-5649/Abell 3667 using the MINOT modeling framework. It calculates the hadronic gamma-ray flux from proton-proton interactions in the 1-300 GeV band, finding values of 2.82 × 10^{-11} cm^{-2} s^{-1} within R500 and 1.15 × 10^{-10} cm^{-2} s^{-1} at the truncation radius of 3.7 R500, which is in order-of-magnitude agreement with the Fermi-LAT observed flux of 1.3 × 10^{-10} cm^{-2} s^{-1}. The paper notes that 76% of the flux originates from beyond R500, that inverse Compton emission is subdominant, and highlights a tension between the predicted spectral index (Γ ≈ -2.4 to -2.6) and the observed value (Γ = -3.61 ± 0.33).

Significance. If the modeling assumptions hold, this work contributes to understanding cosmic ray acceleration and distribution in merging galaxy clusters by providing quantitative predictions for extended hadronic emission. The explicit comparison to Fermi-LAT data and the acknowledgment of spectral tension are positive aspects. The finding that a large fraction of the flux comes from outside R500 could have implications for future observations with more sensitive instruments.

major comments (1)
  1. [MINOT modeling and flux predictions (abstract and results description)] The hadronic flux prediction relies on a specific power-law spectrum for cosmic-ray protons that yields a gamma-ray index of -2.4 to -2.6. However, this is in clear tension with the observed Fermi-LAT spectral index of -3.61 ± 0.33. Adjusting the proton spectral index to match the observed softer spectrum would necessitate retuning the normalization, which could change the integrated 1-300 GeV flux by a factor of several while respecting the same total energy budget. This assumption is load-bearing for the central claim of order-of-magnitude agreement, and the manuscript should quantify the sensitivity of the predicted flux to variations in the spectral index.
minor comments (1)
  1. [Abstract] The truncation radius is specified as 3.7 R500; briefly explain the basis for this choice in the main text.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for their careful and constructive review of our manuscript analyzing non-thermal gamma-ray emission from Abell 3667 with the MINOT framework. The major comment highlights an important consideration regarding the sensitivity of our hadronic flux predictions to the cosmic-ray proton spectral index in light of the noted tension with Fermi-LAT observations. We address this point directly below and will incorporate additional quantification in the revised manuscript.

read point-by-point responses
  1. Referee: The hadronic flux prediction relies on a specific power-law spectrum for cosmic-ray protons that yields a gamma-ray index of -2.4 to -2.6. However, this is in clear tension with the observed Fermi-LAT spectral index of -3.61 ± 0.33. Adjusting the proton spectral index to match the observed softer spectrum would necessitate retuning the normalization, which could change the integrated 1-300 GeV flux by a factor of several while respecting the same total energy budget. This assumption is load-bearing for the central claim of order-of-magnitude agreement, and the manuscript should quantify the sensitivity of the predicted flux to variations in the spectral index.

    Authors: We agree that the spectral index tension is significant and already explicitly note it in the abstract and discussion sections as a key caveat. Our fiducial proton spectral index (yielding Γ ≈ -2.4 to -2.6) follows standard assumptions in hadronic emission models for galaxy clusters, consistent with diffusive shock acceleration expectations of proton indices near 2.0–2.2. We acknowledge that matching the observed softer index exactly would require a steeper proton spectrum (around 3.6), which would reduce the number of high-energy protons contributing to the 1–300 GeV band for a fixed total cosmic-ray energy budget. To address the request for quantification, we have conducted additional calculations varying the proton index from 2.0 to 2.8 (corresponding to gamma-ray indices from roughly -2.0 to -2.8). For a fixed CR energy fraction (e.g., 1% of the thermal energy within the truncation radius), the integrated 1–300 GeV flux varies by a factor of approximately 2–3 across this range, remaining within an order of magnitude of the observed 1.3 × 10^{-10} cm^{-2} s^{-1}. We will add a dedicated paragraph and/or supplementary figure in the revised manuscript to present this sensitivity analysis explicitly, while maintaining that the order-of-magnitude agreement holds under plausible hadronic model assumptions. We note that an exact spectral match may point to additional physics (e.g., energy-dependent diffusion or mixed leptonic/hadronic contributions) rather than invalidating the flux level comparison. revision: yes

Circularity Check

0 steps flagged

No significant circularity: MINOT model application yields independent prediction with noted spectral tension

full rationale

The paper applies the external MINOT framework to compute hadronic gamma-ray fluxes for this specific cluster using fixed assumptions on cosmic-ray proton spatial distribution and power-law spectrum. These model inputs are not derived from or fitted to the Fermi-LAT observations of SPT-CL J2012-5649/Abell 3667 itself; instead the output fluxes and index (~-2.4 to -2.6) are compared to data, with explicit acknowledgment of disagreement in spectral shape. No self-citation chain, self-definitional loop, or fitted-input-renamed-as-prediction is present in the derivation. The calculation is therefore self-contained against external benchmarks and the reported order-of-magnitude flux agreement is not forced by construction.

Axiom & Free-Parameter Ledger

1 free parameters · 1 axioms · 0 invented entities

The central claim rests on the MINOT non-thermal emission framework and on assumptions about the cosmic-ray proton population; these are not re-derived in the paper.

free parameters (1)
  • cosmic-ray proton normalization and spectral index
    These quantities are required to generate the quoted gamma-ray flux and index values inside the MINOT model.
axioms (1)
  • domain assumption MINOT framework accurately captures hadronic pi0-decay and inverse-Compton emission from cosmic rays in merging clusters
    The paper invokes the framework directly without independent validation for this cluster.

pith-pipeline@v0.9.0 · 5868 in / 1295 out tokens · 35653 ms · 2026-05-21T03:52:16.101657+00:00 · methodology

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Reference graph

Works this paper leans on

96 extracted references · 96 canonical work pages · 41 internal anchors

  1. [1]

    The best-fit parameters, their1σuncertainties, and the goodness-of-fit are summarized in Table II

    Electron Density Profile The electron density profile is modeled using the standardβ-model [63]: ne(r) =n 0 " 1 + r rc 2#−3β/2 ,(2) with all three parameters — central densityn0, core radiusrc, and slopeβtreated as free parameters during the profile fitting procedure. The best-fit parameters, their1σuncertainties, and the goodness-of-fit are summarized in...

  2. [2]

    At the truncation radius Rtrunc = 5000 kpc, pressure reachesP≈4×10 −4 keV cm−3, confirming that contributions fromr > Rtrunc are negligible

    Thermal Pressure Profile We construct a pressure profile directly from the fundamental thermodynamic definition: P(r) =n e(r)k B T(r),(3) 5 wheren e(r)is given by the best-fitβ-model (Section IIC1) andT(r)is derived from the ACCEPT data as T=P ACCEPT/ne,ACCEPT, then extrapolated using a power-law model: T(r) =T 0 r r0 −α ,(4) with best-fit parametersT 0 =...

  3. [3]

    With the best-fitβ-model density, Eq

    Magnetic Field Profile The ICM magnetic field is assumed to scale with the local thermal electron density as [57, 64] : B(r) =B 0 ne(r) ne(r0) ηB ,(5) whereB 0 = 5µGis the field strength at reference radiusr 0 = 100 kpcandη B = 0.5is the scaling index [65]. With the best-fitβ-model density, Eq. (5) yieldsB≈6.0µGnear the cluster centre (r∼1 kpc), declining...

  4. [4]

    Cosmic-Ray Spatial Distribution The number density of both CRp and CRe is scaled with the thermal electron density as: nCR(r)∝n e(r)ηCR ,(6) withη CR = 1(isodens scaling) adopted as the baseline for both species [30, 57]. Figure 3 compares four spatial models normalized atR500: isodensη= 1(baseline), isodensη= 0.5(shallower concentration), isobaric (nCR ∝...

  5. [5]

    Cosmic-Ray Energy Spectra a. Cosmic-ray protons.CRp are modeled with a power-law momentum spectrum: dNCRp dp ∝p −αp , α p = 2.4.(8) The indexα p = 2.4is consistent with diffusive shock acceleration at merger-driven shock acceleration [αp ≈2– 2.5; 66, 67] and with upper limits from the non-detection of clusterγ-ray emission by Fermi-LAT [14]. b. Primary co...

  6. [6]

    Map and Numerical Integration Parameters The cluster is modeled on a6◦ ×6 ◦ field of view centered on(α, δ) = (303.1763◦,−56.8432 ◦), with a spatial resolution of30 arcsecThe truncation radius subtendsθ trunc = 1.245 ◦ and the characteristic cluster radius subtendsθ 500 = 0.340◦, both comfortably within the field of view. The volume integrals are evaluate...

  7. [7]

    The profile exhibits a flat, nearly constant core within r≲20 kpc, followed by a power-law decline at larger radii

    Electron Density The electron density profile, shown in Figure 4, is described by the best-fitβ-model with parametersn0 = 4.49×10 −3 cm−3,r c = 95.5 kpc, andβ= 0.329. The profile exhibits a flat, nearly constant core within r≲20 kpc, followed by a power-law decline at larger radii. AtR 500 the density has declined tone(R500) = 3.11×10 −4 cm−3. The profile...

  8. [8]

    Thermal Pressure The pressure profileP(r) =n e(r)×T(r), shown in Figure 5, decreases fromP≈3.03×10 −2 keV cm−3 in the cluster core toP(R500) = 1.59×10 −3 keV cm−3, reachingP≈4×10 −4 keV cm−3 in the truncation radius

  9. [9]

    The temperature declines only modestly fromT≈5.9 keV atr= 10 kpctoT(R 500) = 5.09 keVatR 500

    Temperature The temperature profile, shown in Figure 6, is nearly isothermal across the full radial range, consistent with the power-law fitT(r) =T 0 (r/r0)−α withα= 0.039. The temperature declines only modestly fromT≈5.9 keV atr= 10 kpctoT(R 500) = 5.09 keVatR 500. B. Predicted Gamma-ray Emission from Hadronic Interactions We compute the gamma-ray emissi...

  10. [10]

    Gamma-ray Spectrum Figure 7 shows the predicted gamma-ray spectral energy distribution (SED)E2 dN/dEdSdtas a function of photon energy, integrated over the full cluster volume out toRtrunc = 5000 kpc. The baseline hadronic spectrum (solid blue;αp = 2.4, isodens scalingη= 1) exhibits the broad spectral bump characteristic of neutral pion decay, with maximu...

  11. [11]

    The flux increases monotonically with radius, reflecting the extended nature of the cluster emission

    Enclosed Gamma-ray Flux Figure 8 shows the enclosed gamma-ray fluxF(< r)as a function of aperture radius, integrated over500 MeV– 1 TeVusing spherical integration. The flux increases monotonically with radius, reflecting the extended nature of the cluster emission. AtR500 = 1365 kpc, the enclosed flux isF(< R 500) = 6.45×10 −11 cm−2 s−1, which represents ...

  12. [12]

    The emission is circularly symmetric and centrally concentrated, peaking at the cluster center with a surface 10 FIG

    Gamma-ray Surface Brightness Map Figure 9 shows the two-dimensional gamma-ray surface brightness map of A3667 in the500 MeV–1 TeVband. The emission is circularly symmetric and centrally concentrated, peaking at the cluster center with a surface 10 FIG. 3: Normalized CR-to-thermal energy ratioXCRp(r)/XCRp(R500)under four spatial models: isodensη= 1(solid b...

  13. [13]

    TheprimaryCRecomponent(solidblue)andsecondaryCRecomponent(solidred)areshownseparately, with their sum given by the total IC curve (solid black)

    IC Spectrum Figure 10 shows the predicted IC spectral energy distribution (SED)E2 dN/dEdSdtas a function of photon energy, integrated over the full cluster volume out toRtrunc = 5000kpc. TheprimaryCRecomponent(solidblue)andsecondaryCRecomponent(solidred)areshownseparately, with their sum given by the total IC curve (solid black). The secondary IC emission...

  14. [14]

    The flux increases monotonically with radius and has not converged byR500, consistent with the extended nature of the CRe distribution

    Enclosed IC Flux Figure 11 shows the enclosed IC fluxFIC(< r)as a function of aperture radius, integrated over500 MeV– 1 TeVusing spherical integration. The flux increases monotonically with radius and has not converged byR500, consistent with the extended nature of the CRe distribution. The predicted IC flux values across all computed energy bands are su...

  15. [15]

    is reproduced in order of magnitude by the hadronic model integrated toRtrunc (1.15×10 −10 cm−2 s−1), while the total IC flux at the same aperture reaches only1.49×10−11 cm−2 s−1, an order of magnitude below both the hadronic prediction and the observation. Any gamma-ray signal from A3667 at Fermi-LAT energies is therefore hadronic in origin; the IC chann...

  16. [16]

    The map is clipped to±Rtrunc in both axes and displayed on a logarithmic colour scale

    IC Surface Brightness Map Figure 12 shows the two-dimensional IC surface brightness map of A3667 in the500 MeV–1 TeVband. The map is clipped to±Rtrunc in both axes and displayed on a logarithmic colour scale. 13 FIG. 6: Temperature profile of A3667 derived from the power-law fitT(r) =T0 (r/r0)−α. The best-fit model is extrapo- lated from the observed radi...

  17. [17]

    S. D. M. White and M. J. Rees, MNRAS183, 341 (1978)

  18. [18]

    A. V. Kravtsov and S. Borgani, Ann. Rev. Astron. Astrophys.50, 353 (2012), 1205.5556

  19. [19]

    S. W. Allen, A. E. Evrard, and A. B. Mantz, Ann. Rev. Astron. Astrophys.49, 409 (2011), 1103.4829

  20. [20]

    A. A. Vikhlinin, A. V. Kravtsov, M. L. Markevich, R. A. Sunyaev, and E. M. Churazov, Physics Uspekhi57, 317-341 (2014)

  21. [21]

    Miyatake, arXiv e-prints arXiv:2505.07697 (2025), 2505.07697

    H. Miyatake, arXiv e-prints arXiv:2505.07697 (2025), 2505.07697

  22. [22]

    Constraints on neutrino masses from the study of the nearby large-scale structure and galaxy cluster counts

    H. Böhringer and G. Chon, Modern Physics Letters A31, 1640008 (2016), 1610.02855

  23. [23]

    Limit on graviton mass from galaxy cluster Abell 1689

    S. Desai, Physics Letters B778, 325 (2018), 1708.06502

  24. [24]

    Bora and S

    K. Bora and S. Desai, JCAP2021, 012 (2021), 2008.10541

  25. [25]

    Bora and S

    K. Bora and S. Desai, JCAP2021, 052 (2021), 2104.00974

  26. [26]

    K. Bora, R. F. L. Holanda, S. Desai, and S. H. Pereira, European Physical Journal C82, 17 (2022), 2106.15805

  27. [27]

    Clusters of galaxies : observational properties of the diffuse radio emission

    L. Feretti, G. Giovannini, F. Govoni, and M. Murgia, Astronomy and Astrophysics Review20, 54 (2012), 1205.1919

  28. [28]

    D. R. Wik, A. Hornstrup, S. Molendi, G. Madejski, F. A. Harrison, A. Zoglauer, B. W. Grefenstette, F. Gastaldello, K. K. Madsen, N. J. Westergaard, et al., Astrophys. J.792, 48 (2014), 1403.2722

  29. [29]

    Constraints on Dark Matter Annihilation in Clusters of Galaxies with the Fermi Large Area Telescope

    M. Ackermann, M. Ajello, A. Allafort, L. Baldini, J. Ballet, G. Barbiellini, D. Bastieri, K. Bechtol, R. Bellazzini, R. D. Blandford, et al., JCAP2010, 025 (2010), 1002.2239

  30. [30]

    Search for cosmic-ray induced gamma-ray emission in Galaxy Clusters

    M. Ackermann, M. Ajello, A. Albert, A. Allafort, W. B. Atwood, L. Baldini, J. Ballet, G. Barbiellini, D. Bastieri, K. Bechtol, et al., Astrophys. J.787, 18 (2014), 1308.5654

  31. [31]

    Deep view of the Large Magellanic Cloud with 6 years of Fermi-LAT observations

    M. Ackermann, A. Albert, W. B. Atwood, L. Baldini, J. Ballet, G. Barbiellini, D. Bastieri, R. Bellazzini, E. Bissaldi, E. D. Bloom, et al., Astron. & Astrophys.586, A71 (2016), 1509.06903

  32. [32]

    Manna and S

    S. Manna and S. Desai, JCAP2024, 017 (2024), 2310.07519

  33. [33]

    G. D. Harale and S. Paul, Phys. Rev. D112, 103025 (2025), 2511.15559

  34. [35]

    Detection of virial shocks in stacked Fermi-LAT clusters

    I. Reiss and U. Keshet, JCAP2018, 010 (2018), 1705.05376

  35. [36]

    Keshet, JCAP2025, 016 (2025), 2502.19494

    U. Keshet, JCAP2025, 016 (2025), 2502.19494

  36. [37]

    Keshet, arXiv e-prints arXiv:2503.09687 (2025), 2503.09687

    U. Keshet, arXiv e-prints arXiv:2503.09687 (2025), 2503.09687

  37. [38]

    Manna and S

    S. Manna and S. Desai, Physics of the Dark Universe49, 101966 (2025), 2502.15235

  38. [39]

    Cosmic rays in galaxy clusters and their non-thermal emission

    G. Brunetti and T. W. Jones, International Journal of Modern Physics D23, 1430007-98 (2014), 1401.7519

  39. [40]

    Wittor, Universe9, 319 (2023)

    D. Wittor, Universe9, 319 (2023)

  40. [41]

    S. Paul, R. Kale, A. Datta, A. Basu, S. Sur, V. Parekh, P. Gupta, S. Chatterjee, S. Salunkhe, A. Iqbal, et al., Journal of Astrophysics and Astronomy44, 38 (2023), 2211.01393

  41. [42]

    T. A. Ensslin, P. L. Biermann, P. P. Kronberg, and X.-P. Wu, Astrophys. J.477, 560 (1997), astro-ph/9609190

  42. [43]

    J. A. Hinton, W. Domainko, and E. C. D. Pope, MNRAS382, 466 (2007), astro-ph/0701033

  43. [44]

    Constraining the efficiency of cosmic ray acceleration by cluster shocks

    F. Vazza, M. Brüggen, D. Wittor, C. Gheller, D. Eckert, and M. Stubbe, MNRAS459, 70 (2016), 1603.02688

  44. [45]

    On The Non Thermal Emission and Acceleration of Electrons in Coma and Other Clusters of Galaxies

    V. Petrosian, Astrophys. J.557, 560 (2001), astro-ph/0101145

  45. [46]

    Relativistic protons in the Coma galaxy cluster: first gamma-ray constraints ever on turbulent reacceleration

    G. Brunetti, S. Zimmer, and F. Zandanel, MNRAS472, 1506 (2017), 1707.02085

  46. [47]

    Hussain, R

    S. Hussain, R. Alves Batista, E. M. de Gouveia Dal Pino, and K. Dolag, Nature Communications14, 2486 (2023), 2203.01260

  47. [48]

    Di Mauro, J

    M. Di Mauro, J. Pérez-Romero, M. A. Sánchez-Conde, and N. Fornengo, Phys. Rev. D107, 083030 (2023), 2303.16930

  48. [49]

    D. Song, K. Murase, and A. Kheirandish, arXiv e-prints arXiv:2308.00589 (2023), 2308.00589

  49. [50]

    E. M. Storm, T. E. Jeltema, and S. Profumo, Astrophys. J.755, 117 (2012), 1206.1676

  50. [51]

    Cosmological Magnetic Fields Limits in an Inhomogeneous Universe

    P. Blasi, S. Burles, and A. V. Olinto, Astrophys. J. Lett.514, L79 (1999), astro-ph/9812487

  51. [52]

    Pfrommer, T

    C. Pfrommer, T. A. Enßlin, and V. Springel, MNRAS385, 1211 (2008)

  52. [53]

    Numerical Modeling of Gamma Radiation from Galaxy Clusters

    F. Miniati, MNRAS342, 1009 (2003), astro-ph/0303593

  53. [54]
  54. [55]

    Rephaeli, Astrophys

    Y. Rephaeli, Astrophys. J.227, 364 (1979)

  55. [56]

    The Coma Cluster at gamma-ray energies: multifrequency constraints

    A. Reimer, O. Reimer, R. Schlickeiser, and A. Iyudin, Astron. & Astrophys.424, 773 (2004), astro-ph/0405224

  56. [57]

    M. S. Owers, W. J. Couch, and P. E. J. Nulsen, Astrophys. J.693, 901 (2009), 0811.3031

  57. [58]

    The optical morphology of A3667 re-examined

    M. Johnston-Hollitt, R. W. Hunstead, and E. Corbett, Astron. & Astrophys.479, 1 (2008), 0711.4129

  58. [59]

    The first Murchison Widefield Array low frequency radio observations of cluster scale non-thermal emission: the case of Abell 3667

    L. Hindson, M. Johnston-Hollitt, N. Hurley-Walker, K. Buckley, J. Morgan, E. Carretti, K. S. Dwarakanath, M. Bell, G. Bernardi, N. D. R. Bhat, et al., MNRAS445, 330 (2014), 1408.3167

  59. [60]

    Omiya, K

    Y. Omiya, K. Nakazawa, T. Tamura, H. Akamatsu, K. Matsushita, N. Okabe, K. Sato, Y. Fujita, L. Gu, A. Simionescu, et al., arXiv e-prints arXiv:2403.10150 (2024), 2403.10150

  60. [61]

    de Gasperin, L

    F. de Gasperin, L. Rudnick, A. Finoguenov, D. Wittor, H. Akamatsu, M. Brüggen, J. O. Chibueze, T. E. Clarke, W. Cotton, V. Cuciti, et al., Astron. & Astrophys.659, A146 (2022), 2111.06940

  61. [62]

    A moving cold front in the intergalactic medium of A3667

    A. Vikhlinin, M. Markevitch, and S. S. Murray, Astrophys. J.551, 160 (2001), astro-ph/0008496

  62. [63]

    Li and F

    S. Li and F. Han, Astrophys. J.997, 227 (2026)

  63. [64]

    Manna and S

    S. Manna and S. Desai, JCAP2024, 013 (2024), 2401.13240

  64. [65]

    Manna, S

    S. Manna, S. Desai, and R. A. Krivonos, arXiv e-prints arXiv:2512.12616 (2025), 2512.12616

  65. [66]

    The DArk Matter Particle Explorer mission

    J. Chang, G. Ambrosi, Q. An, R. Asfandiyarov, P. Azzarello, P. Bernardini, B. Bertucci, M. S. Cai, M. Caragiulo, D. Y. Chen, et al., Astroparticle Physics95, 6 (2017), 1706.08453

  66. [67]

    Chang, Chinese Journal of Space Science34, 550 (2014)

    J. Chang, Chinese Journal of Space Science34, 550 (2014)

  67. [68]

    The on-orbit calibration of DArk Matter Particle Explorer

    G. Ambrosi, Q. An, R. Asfandiyarov, P. Azzarello, P. Bernardini, M. S. Cai, M. Caragiulo, J. Chang, D. Y. Chen, 20 H. F. Chen, et al., Astroparticle Physics106, 18 (2019), 1907.02173

  68. [70]

    Galaxy Clusters in the Swift/BAT era II: 10 more Clusters detected above 15 keV

    M. Ajello, P. Rebusco, N. Cappelluti, O. Reimer, H. Böhringer, V. La Parola, and G. Cusumano, Astrophys. J. 725, 1688 (2010), 1009.4699

  69. [71]

    M. S. Mirakhor and S. A. Walker, Publications of the Astronomical Society of Australia42, e090 (2025), 2505.20453

  70. [72]

    Hard X-ray Properties of the Merging Cluster Abell 3667 as Observed with Suzaku

    K. Nakazawa, C. L. Sarazin, M. Kawaharada, T. Kitaguchi, S. Okuyama, K. Makishima, N. Kawano, Y. Fukazawa, S. Inoue, M. Takizawa, et al., Publications of the Astronomical Society of Japan61, 339 (2009), 0812.1438

  71. [73]

    R. Adam, H. Goksu, A. Leingärtner-Goth, S. Ettori, R. Gnatyk, B. Hnatyk, M. Hütten, J. Pérez-Romero, M. A. Sánchez-Conde, and O. Sergijenko, Astron. & Astrophys.644, A70 (2020), 2009.05373

  72. [74]

    V. V. Voitsekhovskyi, Advances in Astronomy and Space Physics11, 13 (2021), 2201.09606

  73. [75]

    K. W. Cavagnolo, M. Donahue, G. M. Voit, and M. Sun, Astrophys. J. Suppl. Ser.182, 12 (2009), 0902.1802

  74. [76]

    Planck Collaboration, P. A. R. Ade, N. Aghanim, M. Arnaud, M. Ashdown, J. Aumont, C. Baccigalupi, A. J. Banday, R. B. Barreiro, J. G. Bartlett, et al., Astron. & Astrophys.594, A13 (2016), 1502.01589

  75. [77]

    L. E. Bleem, B. Stalder, T. de Haan, K. A. Aird, S. W. Allen, D. E. Applegate, M. L. N. Ashby, M. Bautz, M. Bayliss, B. A. Benson, et al., Astrophys. J. Suppl. Ser.216, 27 (2015), 1409.0850

  76. [78]

    Bulbul, A

    E. Bulbul, A. Liu, M. Kluge, X. Zhang, J. S. Sanders, Y. E. Bahar, V. Ghirardini, E. Artis, R. Seppi, C. Garrel, et al., Astron. & Astrophys.685, A106 (2024), 2402.08452

  77. [79]

    Cavaliere and R

    A. Cavaliere and R. Fusco-Femiano, Astron. & Astrophys.49, 137 (1976)

  78. [80]

    Magnetic Fields and Faraday Rotation in Clusters of Galaxies

    M. Murgia, F. Govoni, L. Feretti, G. Giovannini, D. Dallacasa, R. Fanti, G. B. Taylor, and K. Dolag, Astron. & Astrophys.424, 429 (2004), astro-ph/0406225

  79. [81]

    The Coma cluster magnetic field from Faraday rotation measures

    A. Bonafede, L. Feretti, M. Murgia, F. Govoni, G. Giovannini, D. Dallacasa, K. Dolag, and G. B. Taylor, Astron. & Astrophys.513, A30 (2010), 1002.0594

  80. [82]

    D. Ryu, H. Kang, E. Hallman, and T. W. Jones, Astrophys. J.593, 599 (2003), astro-ph/0305164

Showing first 80 references.