- The paper presents 28 high-resolution cosmological zoom-in regions containing 293 halos, including 74 clusters above 10¹⁴ M☉, with 25 times better mass resolution than the original Dianoga simulations.
- The paper finds that minimally calibrated thermal AGN feedback reproduces global ICM relations, gas fractions, the Y_X mass proxy, and low-mass galaxy populations but overproduces massive BCGs and stellar mass by up to a factor of three in the most massive clusters.
- The paper shows that allowing AGN heating to evaporate cold gas in multiphase star-forming particles improves BCG masses, black-hole growth, and cool-core entropy profiles, demonstrating that AGN–ISM coupling can matter as much as total feedback efficiency.
The Dianoga simulations presented in this work constitute a high-resolution set of cosmological hydrodynamical zoom-in simulations of galaxy clusters and groups, carried out with the OpenGadget3 TreePM-SPH code, and complemented by a cosmological box of about 50 h−1 cMpc simulated at identical resolution. The sample comprises 28 Lagrangian regions containing 293 halos with M200≥1.5×1013M⊙, including 74 clusters above 1014M⊙ and 23 above 1015M⊙. The mass resolution (mgas≃6.24×106h−1M⊙) improves by a factor of 25 over the original Dianoga set of Rasia et al. (2015), placing it at a level comparable to TNG-Clusters. The central methodological choice is deliberately minimal calibration: AGN feedback parameters are tuned exclusively to reproduce the local MBH–M∗ relation of field galaxies, while all group- and cluster-scale observables — the GSMF, BCG masses, stellar mass fractions, ICM scaling relations and thermodynamical profiles — are treated as genuine predictions. Seven AGN feedback variants probe how specific implementation choices affect these predictions.
Simulation design and sub-grid physics
The zoom-in regions are drawn from a 1h−1 cGpc parent box assuming Ωm=0.24, σ8=0.8, with initial conditions generated via ZIC. Star formation follows the Springel & Hernquist (SH03) multi-phase ISM model with a density threshold of M200≥1.5×1013M⊙0, SN-driven winds at 350 km/s with mass loading twice the SFR, and full chemical enrichment. SMBHs are seeded in stellar FoF groups exceeding M200≥1.5×1013M⊙1, accrete via an Eddington-limited Bondi-like rate with distinct cold/hot boost factors M200≥1.5×1013M⊙2, and inject thermal energy with efficiency M200≥1.5×1013M⊙3 (0.05 or 0.1), boosted by a factor of 4 in the quiescent radio-mode regime. A key technical ingredient is the sub-resolution dynamical friction model of Damiano et al., which keeps BHs well centered; without it, two-body scattering would produce spurious wandering BHs.
The seven model variants vary M200≥1.5×1013M⊙4, the boost factors, the Eddington limit, and — most importantly — whether AGN energy can evaporate the cold phase within star-forming multi-phase particles (models M4–M6). In the reference implementation, multi-phase particles receiving AGN heating rapidly decay back onto the effective equation of state, effectively losing the injected energy; the evaporation scheme forces such particles out of the multi-phase stage until they cool below a threshold factor M200≥1.5×1013M⊙5 times the effective internal energy.
Stellar content: GSMF and BCGs
The predicted field GSMF agrees with COSMOS/UltraVISTA and COSMOS2020 measurements below M200≥1.5×1013M⊙6 but overproduces the number density of more massive galaxies for both M1 and M2. Since this excess is insensitive to M200≥1.5×1013M⊙7, it cannot be remedied by re-tuning the formal efficiency parameter. Notably, the cluster GSMF reproduces the low-mass steepening reported observationally down to M200≥1.5×1013M⊙8, indicating that SN-driven stellar feedback operates at the correct efficiency in low-mass galaxies even though AGN feedback fails at the massive end.
BCG stellar masses are systematically overpredicted in the most massive clusters while approaching observations at the group scale, and the total stellar mass fraction within M200≥1.5×1013M⊙9 exceeds observations by roughly a factor of three at 1014M⊙0. The authors identify this as a shared limitation of comparable-resolution simulations (Hydrangea, IllustrisTNG, FABLE, TNG-Clusters). A striking result is the contrast with the same initial conditions at 25× coarser resolution, where BCG masses agreed with data: increasing resolution breaks the self-regulation between cooling and feedback in a way that cannot be compensated by re-tuning parameters. Appendix analysis traces the pathological cases to runaway accretion episodes: minor mergers drive core inflows that push hot gas above the star-formation threshold, triggering starbursts exceeding 1014M⊙1 and Eddington-limited BH growth, with four BCGs reaching 1014M⊙2 and some BHs exceeding 1014M⊙3. This failure mode is intrinsic to purely thermal feedback acting on SH03 multi-phase particles whose cooling time falls below the AGN heating timescale.
ICM scaling relations
Global ICM properties fare considerably better. Gas fractions agree with the observational scatter for massive clusters and reproduce the low values at the group scale recently inferred from eROSITA stacking and kSZ measurements with ACT/DESI. The 1014M⊙4–1014M⊙5 relation agrees with the eRASS best fit, with the caveat that temperatures of systems with 1014M⊙6 keV should be treated cautiously given the exclusion of particles below 0.3 keV. Simulated clusters appear slightly cooler than observed at fixed mass in the 1014M⊙7–1014M⊙8 relation, but the discrepancy is comparable to the expected 15–20 per cent hydrostatic mass bias, so its significance remains uncertain. Most notably, the tensions in gas mass and temperature combine to yield excellent agreement on the 1014M⊙9–1015M⊙0 relation, reinforcing the robustness of 1015M⊙1 as a mass proxy largely insensitive to baryonic physics modelling.
Thermodynamical profiles and the cool-core problem
Outside 1015M⊙2, simulated electron density, temperature, entropy and pressure profiles match X-COP measurements and approach the self-similar slope 1015M⊙3. Within the cores, however, entropy profiles exhibit nearly flat isentropic cores rather than the steadily declining profiles characteristic of observed cool cores — a factor-of-two entropy offset in the innermost regions. Pressure profiles nonetheless agree well, consistent with pressure being governed primarily by the gravitational potential. The authors interpret the high central entropy as plausibly another manifestation of inefficient cooling regulation, although they concede that distinguishing excessive heating from selective removal of low-entropy gas by cooling would require dedicated analysis. This result contradicts the earlier finding from the coarser-resolution version of the same initial conditions, and aligns instead with TNG-Clusters and FABLE, whereas lower-resolution suites (The Three Hundred, Magneticum, Flamingo) do produce realistic cool cores. The emerging picture is that self-regulation degrades as resolution increases, independent of whether feedback is thermal, kinetic, or bubble-like.
Sensitivity to the feedback implementation
The appendix experiments carry the paper's strongest claim: models M4–M6, which allow AGN energy to evaporate the cold phase of star-forming particles, simultaneously reduce BCG masses and stellar mass fractions toward observed levels, suppress overmassive BHs, and produce more cool-cored entropy profiles — almost independently of 1015M⊙4. By contrast, varying 1015M⊙5 alone, lowering the Bondi boost factors, or removing the Eddington limit produces little change in BCG masses or stellar fractions (though super-Eddington accretion in M7 partially alleviates BCG overmasses through enhanced early feedback). Entropy profiles prove highly sensitive diagnostics: in one cluster, halving 1015M⊙6 converts a strong cool core into a markedly non-cool-core system, underscoring the fragility of the cooling-feedback balance. The conclusion is explicit: the interface between AGN energy injection and the sub-resolution ISM model is at least as critical as the total feedback efficiency itself.
Limitations and open questions
Several caveats qualify these results. The cold-phase evaporation scheme is acknowledged as experimental: it has not undergone systematic calibration, and its robustness across the full cluster sample remains untested. Comparisons of stellar masses use fixed apertures rather than mock observations, and the authors note that observational effects could non-negligibly affect the high-mass GSMF tension. The comparison of stellar mass fractions adopts a conservative inclusion of all stars within 1015M⊙7, and uncertainties in observed BCG masses and low-surface-brightness diffuse components complicate quantitative assessment of the tension. Whether the central entropy excess reflects overheating or overcooling is left unresolved. The paper also leaves open the role of environment in the upscattering of group-scale stellar fractions near massive clusters, deferred to future work, and identifies kinetic jet feedback with spin-driven directionality, cooling-regulated accretion models replacing the Bondi criterion, and explicitly multiphase ISM treatments with H1015M⊙8 formation as necessary next steps.
Conclusion
This work demonstrates that a minimally calibrated thermal AGN feedback model at high resolution reproduces global ICM scaling relations, the 1015M⊙9 mass proxy, and the low-mass GSMF, while failing to regulate star formation in the most massive BCGs and to sustain realistic cool cores. The decisive diagnostic contribution is the controlled comparison across seven feedback implementations, showing that the coupling between AGN heating and the sub-resolution multiphase ISM — specifically, allowing evaporation of the cold phase — matters at least as much as the feedback energetics. The results frame a concrete open question for simulation campaigns: whether self-regulation of the cooling-feedback loop can be maintained at high numerical resolution only through physically motivated modifications of the AGN–ISM interface, or whether fundamentally different feedback channels are required.