Future subhalos show a pre-infall bias to higher progenitor masses, modeled in extended Press-Schechter theory by multiplying the collapse barrier by β(x,a)=(1-x)^{1.20+0.14a} for M200c, leading to 10-15% higher central concentration.
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VERSUS is a void-finding algorithm that identifies spherical underdensities matching excursion-set predictions for the void size function, validated on synthetic particles and AbacusSummit mocks with realistic galaxy populations.
SHAMe-SF modeling of small-scale DESI ELG clustering delivers 6% precision on σ8 and Ωm h², matching full DR1 results with 1% volume.
A new overdensity-conditioned emulator trained on small subvolumes from Quijote recovers the global halo mass function via integration over the overdensity distribution at 0.026% of the simulation cost.
A GAN framework is trained on EAGLE simulation merger trees to generate new realistic trees for semi-analytic galaxy models at modest computational cost.
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.
Multiple galaxy formation simulations show that low-mass quenched galaxies at z>3 are predominantly environmentally quenched satellites, often only temporarily so, and match JWST observations.
citing papers explorer
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The pre-infall bias of subhalos
Future subhalos show a pre-infall bias to higher progenitor masses, modeled in extended Press-Schechter theory by multiplying the collapse barrier by β(x,a)=(1-x)^{1.20+0.14a} for M200c, leading to 10-15% higher central concentration.
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VERSUS: An excursion-set-inspired void-finder for the Stage-IV era
VERSUS is a void-finding algorithm that identifies spherical underdensities matching excursion-set predictions for the void size function, validated on synthetic particles and AbacusSummit mocks with realistic galaxy populations.
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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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Efficiently emulating distribution functions in gigaparsec volumes for varying cosmological parameters
A new overdensity-conditioned emulator trained on small subvolumes from Quijote recovers the global halo mass function via integration over the overdensity distribution at 0.026% of the simulation cost.
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A Halo Merger Tree Generation and Evaluation Framework
A GAN framework is trained on EAGLE simulation merger trees to generate new realistic trees for semi-analytic galaxy models at modest computational cost.
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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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Environmental Quenching of High-Redshift Galaxies: Interpreting JWST Observations with Simulations
Multiple galaxy formation simulations show that low-mass quenched galaxies at z>3 are predominantly environmentally quenched satellites, often only temporarily so, and match JWST observations.