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A hydrodynamical halo model for weak-lensing cross correlations
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On the scale of galactic haloes, the distribution of matter in the cosmos is affected by energetic, non-gravitational processes; so-called baryonic feedback. A lack of knowledge about the details of how feedback processes redistribute matter is a source of uncertainty for weak-lensing surveys, which accurately probe the clustering of matter in the Universe over a wide range of scales. We develop a cosmology-dependent model for the matter distribution that simultaneously accounts for the clustering of dark matter, gas and stars. We inform our model by comparing it to power spectra measured from the BAHAMAS suite of hydrodynamical simulations. As well as considering matter power spectra, we also consider spectra involving the electron-pressure field, which directly relates to the thermal Sunyaev-Zel'dovich (tSZ) effect. We fit parameters in our model so that it can simultaneously model both matter and pressure data and such that the distribution of gas as inferred from tSZ has influence on the matter spectrum predicted by our model. We present two variants; one that matches the feedback-induced suppression seen in the matter-matter power spectrum at the per-cent level and a second that matches the matter-matter data slightly less well (~2 per cent), but that is able to simultaneously model the matter-electron pressure spectrum at the ~15 per-cent level. We envisage our models being used to simultaneously learn about cosmological parameters and the strength of baryonic feedback using a combination of tSZ and lensing auto- and cross-correlation data.
Forward citations
Cited by 6 Pith papers
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Non-linear velocity terms cancel in real-space linear reconstruction, but redshift-space distortions reintroduce a 10–20% small-scale suppression of the stacked kSZ signal.
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Data-driven selection of the effective CIB spectral index per multipole bin enables unbiased, higher signal-to-noise tSZ-halo cross-correlations without moment deprojection.
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CHEFT: A Hybrid Effective Field Theory halo model
CHEFT recovers matter power to percent level and weighted tracers to ~3–5% by expressing the halo-halo spectrum as a sum of collapsed HEFT operators with probabilistic mass-dependent biases.
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Baryonification II: Constraining feedback with X-ray and kinematic Sunyaev-Zel'dovich observations
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.
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Learning Correlated Astrophysical Foregrounds with Denoising Diffusion Probabilistic Models
A denoising diffusion model trained on Agora simulations generates correlated CIB and tSZ foreground patches that reproduce 2-, 3-, and 4-point statistics, histograms, and Minkowski functionals.
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Cosmological feedback from a halo assembly perspective
Baryonic feedback imprints on cosmological observables are governed by halo mass assembly: feedback is most efficient at M200m around 10^12.8 solar masses regardless of redshift.
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