Anisotropic quenching is detected at the highest redshift yet and linked to preprocessing dominating over intrahalo effects by ~20% along the major axis in a delay-then-rapid quenching model informed by cluster accretion histories.
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The Large Scale Bias of Dark Matter Halos: Numerical Calibration and Model Tests
18 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
abstract
We measure the clustering of dark matter halos in a large set of collisionless cosmological simulations of the flat LCDM cosmology. Halos are identified using the spherical overdensity algorithm, which finds the mass around isolated peaks in the density field such that the mean density is Delta times the background. We calibrate fitting functions for the large scale bias that are adaptable to any value of Delta we examine. We find a ~6% scatter about our best fit bias relation. Our fitting functions couple to the halo mass functions of Tinker et. al. (2008) such that bias of all dark matter is normalized to unity. We demonstrate that the bias of massive, rare halos is higher than that predicted in the modified ellipsoidal collapse model of Sheth, Mo, & Tormen (2001), and approaches the predictions of the spherical collapse model for the rarest halos. Halo bias results based on friends-of-friends halos identified with linking length 0.2 are systematically lower than for halos with the canonical Delta=200 overdensity by ~10%. In contrast to our previous results on the mass function, we find that the universal bias function evolves very weakly with redshift, if at all. We use our numerical results, both for the mass function and the bias relation, to test the peak-background split model for halo bias. We find that the peak-background split achieves a reasonable agreement with the numerical results, but ~20% residuals remain, both at high and low masses.
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Adding a fitted radio-emission component to tSZ×galaxy cross-spectra removes an apparent negative small-scale signal and yields spectra consistent with a standard halo model (9.5–11σ BIC preference for the radio term).
A calibrated fitting function for the halo mass function that unifies predictions across CDM and non-CDM models over 10 orders of magnitude in mass with typical 12% precision after modeling systematics.
Little red dots shift from underdense, low-halo-mass environments at z>4 to ordinary galaxy environments by z~3.5, explaining their declining abundance at z<3.
The paper develops R^wst, a bias-robust wavelet scattering statistic that delivers unbiased constraints on cosmological parameters and improves degeneracy breaking versus the two-point correlation function via simulation-based inference.
tSZ cross-correlations with large-scale structure tracers prefer low S8 and strong baryonic feedback, yielding S8 = 0.72 and low group baryon fraction in FLAMINGO simulations.
Projection-induced selection bias causes 20-50% overestimation of weak lensing masses for optically selected galaxy clusters, larger on scales >3 Mpc.
Quiescent galaxies cluster more strongly than star-forming ones by 0.5-1 dex after halo-mass matching, with one-halo conformity up to z~2 that disappears at higher redshifts.
Fixing the covariance at an incorrect cosmology in cluster count analyses leaves Ω_c, σ_8, and w estimates unbiased but distorts their uncertainties, driven by S_8 amplitude effects; a single update at the recovered best-fit cosmology restores correct normalization for LSST-like surveys.
Joint power spectrum and bispectrum analysis from future HI intensity mapping surveys improves constraints on primordial feature amplitudes by 30-40% and achieves percent-level precision on oscillation frequencies when combined with CMB measurements.
N-body simulations show the log Compton-y distribution mean decreases linearly with neutrino fraction (slope ~10 f_ν) and tSZ power spectrum scales as power law in σ8^cb (exponents 7.3-8.1), with ∑m_ν=0.16 or 0.32 eV fitting Planck data better than massless case.
First measurement of angular clustering w(theta) for radio sources at 816 MHz over 800 deg2 yields positive signal and effective bias 1.53-2.0 depending on N(z) prior.
Transformer and GBDT models trained on AbacusSummit mocks for DESI LRGs/ELGs recover nonlinear velocity power spectra and cross-correlations better than linear theory across a wider range of scales, with applications to kSZ analyses.
Halo model predictions match Websky simulations well for Planck filters but differ by ~20% for Simons Observatory filters, exceeding error bars and consistent with missing higher-order terms in the kSZ signal.
An updated linear halo bias fit calibrated on high-redshift simulations reduces systematic offsets in early-universe clustering predictions to under 1%.
Forecasts show SKA-Mid cross-correlations with ET/CE gravitational wave events can constrain GW source bias and time-delay distributions.
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Anisotropic quenching beyond $z=1$ and its implications for preprocessing around high-redshift galaxy clusters
Anisotropic quenching is detected at the highest redshift yet and linked to preprocessing dominating over intrahalo effects by ~20% along the major axis in a delay-then-rapid quenching model informed by cluster accretion histories.
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Probing nonlinear structure formation beyond $\Lambda$CDM with the LSS bootstrap: a joint power spectrum and bispectrum analysis
First MCMC constraints on LSS bootstrap parameters yield ~7% precision on linear growth modifications and ~57% on quadratic kernel modifications from BOSS data, improving to 1% and 25% with larger simulations.
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Assembly bias and the redshift evolution of intrinsic alignments for LRGs
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Thermal Sunyaev-Zel'dovich cross-correlations with unWISE galaxies: disentangling radio contamination, dust properties, and electron pressure
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A Unified Halo Mass Function Across Dark Matter Models from High-Resolution Multi-Scale Simulations
A calibrated fitting function for the halo mass function that unifies predictions across CDM and non-CDM models over 10 orders of magnitude in mass with typical 12% precision after modeling systematics.
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Reduced Incidence of Little Red Dots at z < 3 from Number Density and Halo Mass Evolution
Little red dots shift from underdense, low-halo-mass environments at z>4 to ordinary galaxy environments by z~3.5, explaining their declining abundance at z<3.
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Cosmological Constraints from Bias-Robust Wavelet Scattering Statistics for Stage-IV Galaxy Surveys
The paper develops R^wst, a bias-robust wavelet scattering statistic that delivers unbiased constraints on cosmological parameters and improves degeneracy breaking versus the two-point correlation function via simulation-based inference.
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FLAMINGO: The thermal history of the Universe from tSZ effect cross-correlations and its dependencies on cosmology and baryon physics
tSZ cross-correlations with large-scale structure tracers prefer low S8 and strong baryonic feedback, yielding S8 = 0.72 and low group baryon fraction in FLAMINGO simulations.
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Impact of projection-induced optical selection bias on the weak lensing mass calibration of galaxy clusters
Projection-induced selection bias causes 20-50% overestimation of weak lensing masses for optically selected galaxy clusters, larger on scales >3 Mpc.
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COSMOS-Web: does halo mass alone shape the clustering of star-forming and quiescent galaxies?
Quiescent galaxies cluster more strongly than star-forming ones by 0.5-1 dex after halo-mass matching, with one-halo conformity up to z~2 that disappears at higher redshifts.
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Cosmology-dependent covariance in galaxy cluster number counts: consequences for parameter inference
Fixing the covariance at an incorrect cosmology in cluster count analyses leaves Ω_c, σ_8, and w estimates unbiased but distorts their uncertainties, driven by S_8 amplitude effects; a single update at the recovered best-fit cosmology restores correct normalization for LSST-like surveys.
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Searching for primordial features with radio surveys: synergy between the power spectrum and bispectrum
Joint power spectrum and bispectrum analysis from future HI intensity mapping surveys improves constraints on primordial feature amplitudes by 30-40% and achieves percent-level precision on oscillation frequencies when combined with CMB measurements.
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DEMNUni: the Sunyaev-Zel'dovich effect in the presence of massive neutrinos and dynamical dark energy
N-body simulations show the log Compton-y distribution mean decreases linearly with neutrino fraction (slope ~10 f_ν) and tSZ power spectrum scales as power law in σ8^cb (exponents 7.3-8.1), with ∑m_ν=0.16 or 0.32 eV fitting Planck data better than massless case.
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Tracing Large-scale Structure with the MeerKLASS On-the-Fly Survey: Angular Clustering of Radio Sources at 816 MHz
First measurement of angular clustering w(theta) for radio sources at 816 MHz over 800 deg2 yields positive signal and effective bias 1.53-2.0 depending on N(z) prior.
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Full Nonlinear Velocity Reconstruction With Transformer and Ensemble Tree Machine Learning
Transformer and GBDT models trained on AbacusSummit mocks for DESI LRGs/ELGs recover nonlinear velocity power spectra and cross-correlations better than linear theory across a wider range of scales, with applications to kSZ analyses.
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Comparison of Halo Model and Simulation Predictions for Projected-Field Kinematic Sunyaev-Zel'dovich Cross-Correlations
Halo model predictions match Websky simulations well for Planck filters but differ by ~20% for Simons Observatory filters, exceeding error bars and consistent with missing higher-order terms in the kSZ signal.
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An Improved Fit for Linear Halo Bias at High Redshift
An updated linear halo bias fit calibrated on high-redshift simulations reduces systematic offsets in early-universe clustering predictions to under 1%.
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Using SKAO to Understand the Clustering of Gravitational Wave Sources
Forecasts show SKA-Mid cross-correlations with ET/CE gravitational wave events can constrain GW source bias and time-delay distributions.