SHAMe-SF modeling of small-scale DESI ELG clustering delivers 6% precision on σ8 and Ωm h², matching full DR1 results with 1% volume.
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Void x CMB lensing from Roman mocks is robust to catalog construction choices and forecasts S/N of 13-31 sigma with Planck, SO, and CMB-S4-like data for 2D and 3D voids.
Simulations show gas cooling and stellar feedback dominate assembly bias for stellar-mass selected galaxies while star formation gives way to gas cooling for SFR-selected galaxies as number density rises.
The authors introduce analog matching to generate Roman Space Telescope mock catalogs that reproduce emission-line galaxy statistics and highlight the need to match void properties separately from two-point clustering for CMB cross-correlation studies.
citing papers explorer
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Cosmological constraints from the small scale clustering of Emission Line Galaxies
SHAMe-SF modeling of small-scale DESI ELG clustering delivers 6% precision on σ8 and Ωm h², matching full DR1 results with 1% volume.
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Towards precision cosmology with Void x CMB correlations (II): Impact of mock catalogs on the Void x CMB lensing signal
Void x CMB lensing from Roman mocks is robust to catalog construction choices and forecasts S/N of 13-31 sigma with Planck, SO, and CMB-S4-like data for 2D and 3D voids.
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Correlation between baryonic process and galaxy assembly bias
Simulations show gas cooling and stellar feedback dominate assembly bias for stellar-mass selected galaxies while star formation gives way to gas cooling for SFR-selected galaxies as number density rises.
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Towards precision cosmology with Voids x CMB correlations (I): Roman-Agora mock catalogs and pipeline validation
The authors introduce analog matching to generate Roman Space Telescope mock catalogs that reproduce emission-line galaxy statistics and highlight the need to match void properties separately from two-point clustering for CMB cross-correlation studies.