Four models for super-early galaxy formation predict similar galaxy bias around 7 for faint galaxies but diverge at brighter luminosities, with the primordial black hole model showing nearly constant bias while others increase to 14.
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Photometric survey identifies 137 PMS stars with median accretion rate 8e-9 solar masses per year whose accretion properties correlate with distance from nearby hot stars, suggesting UV disc erosion.
Short and long reionisation histories consistent with Planck yield kSZ power spectra that remain separable despite uncertainties, requiring a sensitivity of ~0.4 μK² at ℓ~2000 to discriminate between the scenarios.
Machine learning models achieve NMAD 0.036 and 5.6% outliers for quasar photometric redshifts, identifying 185 high-probability pair candidates in MGQPC with 20 spectroscopically confirmed as physical pairs.
AGN activity correlates independently with bar strength and bulge prominence in z≤0.1 galaxies after controlling for mass and color.
citing papers explorer
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Clustering constraints on super-early galaxy formation scenarios
Four models for super-early galaxy formation predict similar galaxy bias around 7 for faint galaxies but diverge at brighter luminosities, with the primordial black hole model showing nearly constant bias while others increase to 14.
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Photometric determination of the mass accretion rates of pre-main sequence stars. IX. Recent star formation in the periphery of NGC 346
Photometric survey identifies 137 PMS stars with median accretion rate 8e-9 solar masses per year whose accretion properties correlate with distance from nearby hot stars, suggesting UV disc erosion.
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Discriminating Planck Reionisation Histories with the kSZ Effect
Short and long reionisation histories consistent with Planck yield kSZ power spectra that remain separable despite uncertainties, requiring a sensitivity of ~0.4 μK² at ℓ~2000 to discriminate between the scenarios.
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Search for quasar pairs with Gaia astrometric data. II. Photometric redshift prediction with machine learning for the MGQPC catalogue
Machine learning models achieve NMAD 0.036 and 5.6% outliers for quasar photometric redshifts, identifying 185 high-probability pair candidates in MGQPC with 20 spectroscopically confirmed as physical pairs.
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The complex relationships between AGN, bars and bulges
AGN activity correlates independently with bar strength and bulge prominence in z≤0.1 galaxies after controlling for mass and color.