Extreme z>3 emission-line ratios are reproduced only by combining harder ionizing spectra, ionization parameters from massive star clusters, and enhanced nitrogen abundances.
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A simulation-based forecast shows the 21cm-galaxy cross-bispectrum is detectable at 10σ–100σ with SKA-Mid and Euclid-like data, outperforming the 21cm auto-bispectrum in interferometric mode.
A scale-dependent parametrization of optical cluster bias combined with two-halo terms from off-axis halos quantifies projection-induced selection bias on cluster lensing profiles and recovers the bias relative to mass-matched random samples.
Four controlled identical realizations of a galaxy-cluster zoom-in simulation reveal 10-25% variability in galaxy masses driven by stochastic processes and modulated by feedback, establishing a noise-dominated but statistically reproducible regime at low resolution.
citing papers explorer
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Origins of Extreme Emission-Line Ratios in z > 3 Galaxies: Insights from the Lumen Model
Extreme z>3 emission-line ratios are reproduced only by combining harder ionizing spectra, ionization parameters from massive star clusters, and enhanced nitrogen abundances.
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Probing the large-scale structure with 21cm-galaxy cross-bispectrum: Estimates from simulations and forecasts for upcoming cosmological surveys
A simulation-based forecast shows the 21cm-galaxy cross-bispectrum is detectable at 10σ–100σ with SKA-Mid and Euclid-like data, outperforming the 21cm auto-bispectrum in interferometric mode.
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Forward analytical model for the optical selection bias on galaxy cluster lensing profiles
A scale-dependent parametrization of optical cluster bias combined with two-halo terms from off-axis halos quantifies projection-induced selection bias on cluster lensing profiles and recovers the bias relative to mass-matched random samples.
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Variability in Cosmological Hydrodynamical Simulations: how Stochastic Processes, Numerical Effects, and Reproducibility Limits impact Predictability
Four controlled identical realizations of a galaxy-cluster zoom-in simulation reveal 10-25% variability in galaxy masses driven by stochastic processes and modulated by feedback, establishing a noise-dominated but statistically reproducible regime at low resolution.