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.
Baryonic clues to the puzzling diversity of dwarf galaxy rotation curves , volume=
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SMR uses multi-channel map-encoded reinforcement learning to achieve roughly 10% better time utilization than greedy baselines for single-dish radio telescope scheduling.
PRFM-vol is a new subgrid star formation model for cosmological simulations that computes SFR from ambient densities via PRFM theory and a modified effective EOS, producing taller stellar scale heights, slightly higher stellar mass, and morphology changes including Toomre-driven clumps compared to p
Simulations show fuzzy dark matter fraction up to 0.3 suppresses low-mass halos in mixed DM models, and a redshift- and fraction-dependent suppression function maps CDM HMFs to MDM HMFs within 0.1-0.2 dex accuracy for z=1-4.
An extended parametric model for SIDM halos incorporates mass accretion to delay core collapse and reduces errors in predicted V_max at z=0 relative to the prior Yang et al. (2024b) model.
Simulations indicate LISA could statistically distinguish CDM from SIDM (constant 1 cm²/g cross-section) with at least ~70 high-SNR massive black hole merger detections.
Review of state-of-the-art cosmological galaxy formation models for HI, molecular gas and radio continuum in preparation for SKA, advocating coordinated multi-scale simulations, forward modelling and AI emulators.
citing papers explorer
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Mergers Matter: Gravothermal Collapse in Dwarf Halos with Self-Interacting Dark Matter
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.
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SMR: Scheduler with Multi-Channel Map-Encoded Reinforcement Learning for Radio Telescopes
SMR uses multi-channel map-encoded reinforcement learning to achieve roughly 10% better time utilization than greedy baselines for single-dish radio telescope scheduling.
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Learning the Universe with PRFM-vol: Introducing a new subgrid model for star formation in cosmological simulations
PRFM-vol is a new subgrid star formation model for cosmological simulations that computes SFR from ambient densities via PRFM theory and a modified effective EOS, producing taller stellar scale heights, slightly higher stellar mass, and morphology changes including Toomre-driven clumps compared to p
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Halo mass functions in mixed cold and fuzzy dark matter models
Simulations show fuzzy dark matter fraction up to 0.3 suppresses low-mass halos in mixed DM models, and a redshift- and fraction-dependent suppression function maps CDM HMFs to MDM HMFs within 0.1-0.2 dex accuracy for z=1-4.
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An Extended Parametric Model for Self-interacting Dark Matter Halos
An extended parametric model for SIDM halos incorporates mass accretion to delay core collapse and reduces errors in predicted V_max at z=0 relative to the prior Yang et al. (2024b) model.
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Probing the Nature of Dark Matter Self-Interactions Through Observations of Massive Black Hole Mergers
Simulations indicate LISA could statistically distinguish CDM from SIDM (constant 1 cm²/g cross-section) with at least ~70 high-SNR massive black hole merger detections.
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Cosmological Galaxy Formation Modelling in the Era of the Square Kilometre Array
Review of state-of-the-art cosmological galaxy formation models for HI, molecular gas and radio continuum in preparation for SKA, advocating coordinated multi-scale simulations, forward modelling and AI emulators.