Low-mass Paβ emitters in the Spiderweb protocluster show enhanced star formation rates compared to field galaxies, with no significant deviation at higher masses.
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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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Spider-Webb: enhanced star formation in low-mass galaxies within the Spiderweb protocluster revealed by JWST Pa$\beta$ narrow-band imaging
Low-mass Paβ emitters in the Spiderweb protocluster show enhanced star formation rates compared to field galaxies, with no significant deviation at higher masses.
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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.