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The FLAMINGO Project: Galaxy clusters in comparison to X-ray observations

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arxiv 2312.08277 v2 pith:UW7Z3BJT submitted 2023-12-13 astro-ph.GA astro-ph.CO

classification astro-ph.GAastro-ph.CO
keywords clustersgalaxyfeedbackflamingolowerobservationscalibratedcool-core
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

Galaxy clusters are important probes for both cosmology and galaxy formation physics. We test the cosmological, hydrodynamical FLAMINGO simulations by comparing to observations of the gaseous properties of clusters measured from X-ray observations. FLAMINGO contains unprecedented numbers of massive galaxy groups ($>10^6$) and clusters ($>10^5$) and includes variations in both cosmology and galaxy formation physics. We predict the evolution of cluster scaling relations as well as radial profiles of the temperature, density, pressure, entropy, and metallicity for different masses and redshifts. We show that the differences between volume-, and X-ray-weighting of particles in the simulations, and between cool-core non cool-core samples, are similar in size as the differences between simulations for which the stellar and AGN feedback has been calibrated to produce significantly different gas fractions. Compared to thermally-driven AGN feedback, kinetic jet feedback calibrated to produce the same gas fraction at $R_{\rm 500c}$ yields a hotter core with higher entropies and lower densities, which translates into a smaller fraction of cool-core clusters. Stronger feedback, calibrated to produce lower gas fractions and hence lower gas densities, results in higher temperatures, entropies, and metallicities, but lower pressures. The scaling relations and thermodynamic profiles show almost no evolution with respect to self-similar expectations, except for the metallicity decreasing with redshift. We find that the temperature, density, pressure, and entropy profiles of clusters in the fiducial FLAMINGO simulation are in excellent agreement with observations, while the metallicities in the core are too high.

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Cited by 6 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. The Power Spectrum of the Thermal Sunyaev-Zeldovich Effect

    astro-ph.CO 2025-02 conditional novelty 7.0 of 10

    The tSZ power spectrum inferred from Planck, ACT, and SPT temperature spectra is about 30 to 50 percent of the FLAMINGO baseline prediction at multipoles above 2000, with a shallower slope.

  2. What's Missing in AGN Feedback? Lessons learnt from Magneticum, IllustrisTNG and Simba

    astro-ph.GA 2026-07 conditional novelty 6.0 of 10

    No current simulation simultaneously reproduces observed halo hot-gas fractions and local galaxy star-formation/quenching demographics; strong AGN feedback overquenches, weak feedback retains too much gas.

  3. Baryonification II: Constraining feedback with X-ray and kinematic Sunyaev-Zel'dovich observations

    astro-ph.CO 2025-07 conditional novelty 6.0 of 10

    ACT kSZ and eROSITA gas fractions are mutually consistent in a baryonification fit and imply strong feedback, with predicted matter power suppression reaching 20-25 percent at k=5 h/Mpc.

  4. S-PLUS Clusters And Large-scale Environments (SCALE): II. PZWav versus redMaPPer identification of eRosita groups

    astro-ph.CO 2026-07 accept novelty 5.0 of 10

    A probabilistic Hausdorff-distance matching of PZWav/AME optical systems to eRASS1 X-ray contours yields multi-wavelength group/cluster catalogs with tunable purity and improved low-mass completeness versus redMaPPer.

  5. How does feedback affect the star formation histories of galaxies?

    astro-ph.GA 2025-08 conditional novelty 5.0 of 10

    A unified empirical equation, fitted separately to three simulation suites, links galaxy star formation history shape to halo mass, baryon fraction, black hole mass, and feedback strength.

  6. Unified weak lensing constraints on the evolution of the mass -- X-ray luminosity relation for galaxy clusters

    astro-ph.CO 2025-05 conditional novelty 5.0 of 10

    A Bayesian calibration of the mass-luminosity relation for 100 clusters gives slope 0.75 with RASS fluxes and 1.11 with eROSITA fluxes, showing point-source contamination and selection modeling change the result.

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