Two young low-mass stars show solar C/O ratios while their inner disks are hydrocarbon-rich with C/O greater than one, providing direct evidence that disk processes enhance inner-disk carbon.
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A data-driven decomposition of stellar abundance vectors into four latent patterns identifies distinct contributions from core-collapse supernovae, Type Ia supernovae, and AGB stars across the Milky Way disc.
Red quasars are intrinsically X-ray weak with low alpha_OX values, tracing a distinct evolutionary stage of suppressed black hole accretion relative to stellar mass growth.
Reprojects abundances of 199k stars into 4 patterns, identifying enrichment pathways with strong chemo-spatial, age, and vertical correlations plus a transition at ~6 Gyr.
GRB 210704A at z=2.34 shows a luminous fast blue transient excess peaking at ~7 days, modeled as refreshed shock emission and linked to LFBOTs alongside a high-Lorentz-factor jet.
FIRE-2 simulations show that stellar radial redistribution scatter saturates at ~2 kpc for stars older than ~3 Gyr, with net orbital changes depending on age and current radius, broadly matching Milky Way observations.
Derives homogeneous n-capture element abundances for GBSv3 sample via iSpec spectral analysis and clustering for line selection, yielding measurements in agreement with literature.
The P3 selector achieves 0.9809 purity and 0.8869 completeness for QSO candidates in selected fields, outperforming Gaia's official probabilities.
New observations show a curved jet from FN Tau likely caused by disk precession, associated with past outbursts.
Random Forest regression on combined optical plus mid-infrared colors yields NMAD of 0.0188, R-squared of 0.9561, and 0.294 percent outliers for photometric redshifts in 23,797 Seyfert II galaxies selected from SDSS and WISE.
citing papers explorer
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A Chemical Mismatch Between Young Stars and Their Inner Disks
Two young low-mass stars show solar C/O ratios while their inner disks are hydrocarbon-rich with C/O greater than one, providing direct evidence that disk processes enhance inner-disk carbon.
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Milky Way Mapper decoded abundances -- I. Shared disc enrichment patterns
A data-driven decomposition of stellar abundance vectors into four latent patterns identifies distinct contributions from core-collapse supernovae, Type Ia supernovae, and AGB stars across the Milky Way disc.
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SDSS-V: Revealing a weak accretion state in X-ray selected red quasars
Red quasars are intrinsically X-ray weak with low alpha_OX values, tracing a distinct evolutionary stage of suppressed black hole accretion relative to stellar mass growth.
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Milky Way Mapper decoded abundances -- II: From patterns to paths
Reprojects abundances of 199k stars into 4 patterns, identifying enrichment pathways with strong chemo-spatial, age, and vertical correlations plus a transition at ~6 Gyr.
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GRB 210704A: A Luminous Fast Blue Transient in a GRB Afterglow at $z = 2.34$
GRB 210704A at z=2.34 shows a luminous fast blue transient excess peaking at ~7 days, modeled as refreshed shock emission and linked to LFBOTs alongside a high-Lorentz-factor jet.
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Radial redistribution of stellar orbits in FIRE simulations of Milky-Way-mass galaxies
FIRE-2 simulations show that stellar radial redistribution scatter saturates at ~2 kpc for stars older than ~3 Gyr, with net orbital changes depending on age and current radius, broadly matching Milky Way observations.
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Gaia FGK benchmark stars: abundances of \textit{n}-capture elements of the third version
Derives homogeneous n-capture element abundances for GBSv3 sample via iSpec spectral analysis and clustering for line selection, yielding measurements in agreement with literature.
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A Gaia-linked High-purity QSO Candidate Catalog in Selected Fields with Extinction-binned Calibration and Spectrum-informed Training
The P3 selector achieves 0.9809 purity and 0.8869 completeness for QSO candidates in selected fields, outperforming Gaia's official probabilities.
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The curved jet in the young star FN Tau
New observations show a curved jet from FN Tau likely caused by disk precession, associated with past outbursts.
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Predicting Redshift in Seyfert Galaxies Using Machine Learning
Random Forest regression on combined optical plus mid-infrared colors yields NMAD of 0.0188, R-squared of 0.9561, and 0.294 percent outliers for photometric redshifts in 23,797 Seyfert II galaxies selected from SDSS and WISE.