Quasar nebulae at z~1 are diverse objects shaped by galaxy interactions, host gas, group environments, and quasar activity, with the largest irregular ones most tied to interactions.
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UNVERDICTED 3representative citing papers
PITA, a new semi-supervised deep learning algorithm, outperforms prior photo-z methods by using a triple-task loss on images, colors, and available redshifts to produce a smooth latent space.
FRB dispersion measures from CHIME/FRB Outrigger constrain gas mass fractions in galaxy groups and clusters, consistent with eROSITA at R500 but with mild tension at R200.
citing papers explorer
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A Comprehensive Study of Morphology and Kinematics in Extended Nebulae Around UV Luminous Quasars at $z\approx1$
Quasar nebulae at z~1 are diverse objects shaped by galaxy interactions, host gas, group environments, and quasar activity, with the largest irregular ones most tied to interactions.
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Optimizing Deep Learning Photometric Redshifts for the Roman Space Telescope with HST/CANDELS
PITA, a new semi-supervised deep learning algorithm, outperforms prior photo-z methods by using a triple-task loss on images, colors, and available redshifts to produce a smooth latent space.
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Constraining Gas Mass Fractions in Galaxy Groups and Clusters with the First CHIME/FRB Outrigger
FRB dispersion measures from CHIME/FRB Outrigger constrain gas mass fractions in galaxy groups and clusters, consistent with eROSITA at R500 but with mild tension at R200.