Presents a fully photometric framework to measure individual cluster splashback radii and masses from SDSS data and constructs the first observational splashback mass function.
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SIDM simulations of dwarf halos show that quiescent merger histories produce gravothermal core collapse while sustained mergers prevent collapse and can yield central densities below gravothermal fluid model predictions.
PHANTOM is a public MATLAB/Octave toolbox for linear field statistics and halo observables in dark matter cosmology, validated to sub-percent agreement with Python packages colossus, hmf, and halomod.
A six-parameter function of peak height ν, power spectrum slope n_eff, and growth rate α_eff accurately describes median halo mass accretion rates from simulations in ΛCDM and Einstein-de Sitter cosmologies at z=0-14.
Corrected empirical limits show the most massive galaxies never exceed the theoretical baryonic maximum of 0.16 times halo virial mass, keeping observations consistent with LambdaCDM at all redshifts.
UV-bright companions to Little Red Dots provide Lyman-Werner fluxes of J21 ~ 10^2.5-10^5 that can suppress H2 cooling and enable direct collapse to massive black holes.
Mock catalogs GW-LMC-Space predict 0-131 lensed MBHB events for 4-year LISA (prob. up to 0.3%) and 0-44 for 1-year DECIGO (prob. ~0.15%), with signal overlap noted as common.
Galaxy clusters have an average projected ellipticity of 0.310 with axis ratio 0.527, showing no significant mass or redshift dependence, measured via weak lensing on DES Y3 data and verified with mocks.
Radio AGN jets inject a total kinetic power density of 10^32 to 10^33 W per cubic megaparsec from z=0 to 2.5, matching requirements for feedback in galaxy evolution models.
Strong-feedback models with bright galaxies match JWST UVLF at z greater than or equal to 10 and predict an extended reionization from z approximately 16 to 6 that fits CMB optical depth within 2 sigma.
AnaCal recovers input shear with low bias in high-shear cluster regimes under LSST-like conditions, producing 0.24% mean mass bias.
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PHANTOM: A MATLAB and Octave Toolbox Connecting Linear Field Statistics to Dark Matter Halo Observables
PHANTOM is a public MATLAB/Octave toolbox for linear field statistics and halo observables in dark matter cosmology, validated to sub-percent agreement with Python packages colossus, hmf, and halomod.