Measures a new nebular attenuation curve from 1400-9550 Å for galaxy GOODSN-17940 at z=4.41 that is steeper than Milky Way/SMC/Calzetti at long wavelengths, similar in blue-optical, and shallower in UV with no 2175 Å bump.
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PITA, a new semi-supervised deep learning algorithm, outperforms prior photo-z methods by using a triple-task loss on images, colors, and available redshifts to produce a smooth latent space.
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The AURORA Survey: The Nebular Attenuation Curve of a Galaxy at z=4.41 from Ultraviolet to Near-Infrared Wavelengths
Measures a new nebular attenuation curve from 1400-9550 Å for galaxy GOODSN-17940 at z=4.41 that is steeper than Milky Way/SMC/Calzetti at long wavelengths, similar in blue-optical, and shallower in UV with no 2175 Å bump.
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Optimizing Deep Learning Photometric Redshifts for the Roman Space Telescope with HST/CANDELS
PITA, a new semi-supervised deep learning algorithm, outperforms prior photo-z methods by using a triple-task loss on images, colors, and available redshifts to produce a smooth latent space.