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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Deep learning model OTProf generates high-resolution C_n² profiles from ERA5 reanalysis data and outperforms the Hufnagel-Valley model for vertical structure and integrated parameters like Fried parameter r_0 in the Netherlands.
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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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OTProf: estimating high-resolution profiles of optical turbulence ($C_n^2$) from reanalysis using deep learning
Deep learning model OTProf generates high-resolution C_n² profiles from ERA5 reanalysis data and outperforms the Hufnagel-Valley model for vertical structure and integrated parameters like Fried parameter r_0 in the Netherlands.