A CNN with attention and shared latent space recovers SFHs and metallicities from spectro-photometric data with ~0.12 dex age and ~0.03 dex metallicity dispersion while running thousands of times faster than full spectral fitting.
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Hydrodynamical simulations demonstrate that classical bulges enable bar-driven formation of nuclear stellar disks that bifurcate into pressure-supported nuclear star clusters and rotationally-supported nuclear stellar rings after gas depletion.
Asteroseismic ages from TESS calibrate [Y/Mg] and [C/N] chemical clocks, revealing a radially dependent [Y/Mg]-age relation that is steeper in the outer Galactic disc and flatter inward, with NLTE corrections and evolutionary stage accounting required for accuracy.
citing papers explorer
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Determining star formation histories and age-metallicity relations with convolutional neural networks
A CNN with attention and shared latent space recovers SFHs and metallicities from spectro-photometric data with ~0.12 dex age and ~0.03 dex metallicity dispersion while running thousands of times faster than full spectral fitting.
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The SMUGGLE-Ring project: Bar and bulge effects on nuclear disk and ring formation
Hydrodynamical simulations demonstrate that classical bulges enable bar-driven formation of nuclear stellar disks that bifurcate into pressure-supported nuclear star clusters and rotationally-supported nuclear stellar rings after gas depletion.
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Calibration of the [C/N] and [Y/Mg] chemical clocks with asteroseismic ages from the TESS space mission
Asteroseismic ages from TESS calibrate [Y/Mg] and [C/N] chemical clocks, revealing a radially dependent [Y/Mg]-age relation that is steeper in the outer Galactic disc and flatter inward, with NLTE corrections and evolutionary stage accounting required for accuracy.