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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2 Pith papers cite this work. Polarity classification is still indexing.
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Simulations show negative metallicity gradients in all low-mass galaxies, U-shaped age profiles in most, and halo metallicity dispersion tied to the infall time of the dominant satellite.
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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Age and metallicity of low-mass galaxies: from their centres to their stellar halos
Simulations show negative metallicity gradients in all low-mass galaxies, U-shaped age profiles in most, and halo metallicity dispersion tied to the infall time of the dominant satellite.