New JWST and Keck data on off-nuclear TDE 2025abcr show shifting emission-line velocities from a changing reprocessing layer and an IR power-law slope of -2.13 that is consistent with either reprocessing gas or a young stellar cluster of mass ~10^7.6 solar masses.
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2026 4representative citing papers
Seyfert 2 galaxies show detectable optical variability, enabling estimates of scattering region sizes consistent with the obscuring torus via amplitude matching to Seyfert 1s.
A machine learning model trained on IllustrisTNG predicts galaxy baryonic properties from dark matter subhalo features, producing a mock catalog for the A-SPEC survey that matches observed galaxy clustering.
Compiles WISE W1/W2 photometry and derives stellar masses for galaxies 1-10 Mpc with M_W1 < -13, showing most mass in few giants despite many dwarfs.
citing papers explorer
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JWST and Keck observations of the off-nuclear tidal disruption event TDE 2025abcr: An evolving reprocessing layer
New JWST and Keck data on off-nuclear TDE 2025abcr show shifting emission-line velocities from a changing reprocessing layer and an IR power-law slope of -2.13 that is consistent with either reprocessing gas or a young stellar cluster of mass ~10^7.6 solar masses.
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Detection of Variability in Seyfert 2 Galaxies and Measurement of the Optical Scattering Region Size
Seyfert 2 galaxies show detectable optical variability, enabling estimates of scattering region sizes consistent with the obscuring torus via amplitude matching to Seyfert 1s.
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Constructing a Mock Galaxy Catalog for the All-sky SPECtroscopic Survey of Nearby Galaxies (A-SPEC) Using the Machine-assisted Semi-Simulation Model
A machine learning model trained on IllustrisTNG predicts galaxy baryonic properties from dark matter subhalo features, producing a mock catalog for the A-SPEC survey that matches observed galaxy clustering.
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WISE Photometry of Galaxies within 10 Mpc
Compiles WISE W1/W2 photometry and derives stellar masses for galaxies 1-10 Mpc with M_W1 < -13, showing most mass in few giants despite many dwarfs.