Fine-tuned Vision Transformers applied to 2D spectral plots from real SDSS and LAMOST data achieve higher classification accuracy than SVMs and Random Forests while matching AstroCLIP performance on redshift estimation across diverse objects.
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A multimodal neural network trained on MPA-JHU references produces SFR, stellar mass, and metallicity estimates for 547 million low-redshift galaxies in DESI LS DR10.
AGN with black-hole masses above 10^8.5 solar masses may occupy halos ~0.4 dex more massive than matched control galaxies, though the difference remains consistent with uncertainties.
X-ray AGN at intermediate redshifts live in dark matter halos of mass ~10^13 solar masses with no significant dependence on black hole mass, Eddington ratio or X-ray luminosity.
citing papers explorer
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Applying Vision Transformers on Spectral Analysis of Astronomical Objects
Fine-tuned Vision Transformers applied to 2D spectral plots from real SDSS and LAMOST data achieve higher classification accuracy than SVMs and Random Forests while matching AstroCLIP performance on redshift estimation across diverse objects.
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A Value-added Physical Properties Catalog for Low-redshift Galaxies from DESI Legacy Imaging Surveys DR10
A multimodal neural network trained on MPA-JHU references produces SFR, stellar mass, and metallicity estimates for 547 million low-redshift galaxies in DESI LS DR10.
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Black hole mass, host galaxy mass, and dark matter halos: Testing the environmental connection
AGN with black-hole masses above 10^8.5 solar masses may occupy halos ~0.4 dex more massive than matched control galaxies, though the difference remains consistent with uncertainties.
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Large-scale environments of star-forming active galactic nuclei: How black hole mass, accretion rate, and luminosity connect to dark matter halos
X-ray AGN at intermediate redshifts live in dark matter halos of mass ~10^13 solar masses with no significant dependence on black hole mass, Eddington ratio or X-ray luminosity.