Anisotropic quenching is detected at the highest redshift yet and linked to preprocessing dominating over intrahalo effects by ~20% along the major axis in a delay-then-rapid quenching model informed by cluster accretion histories.
The GOGREEN and GCLASS surveys: first data release , volume=
4 Pith papers cite this work, alongside 50 external citations. Polarity classification is still indexing.
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2026 4verdicts
UNVERDICTED 4representative citing papers
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.
Simulations show SPHEREx photometry is generally unbiased but source blending drives outliers; with brightness selection, photometric redshifts reach σ_NMAD ≈ 0.003-0.01 and cluster redshifts are recovered to |Δz|/(1+z) < 0.002 at z ≲ 0.5.
Reports a catalog of 519 cluster candidates (74 at z>1.5) from VIDEO fields via AMICO and WaZP, shows red-sequence galaxies consistent with passive evolution since high redshift, and evaluates MOONRISE detection strategies up to z~1.7.
citing papers explorer
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Anisotropic quenching beyond $z=1$ and its implications for preprocessing around high-redshift galaxy clusters
Anisotropic quenching is detected at the highest redshift yet and linked to preprocessing dominating over intrahalo effects by ~20% along the major axis in a delay-then-rapid quenching model informed by cluster accretion histories.
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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.
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The SPHEREx View of Galaxy Clusters: A Simulation-based Validation of the Forced Photometry Pipeline for Extended Sources
Simulations show SPHEREx photometry is generally unbiased but source blending drives outliers; with brightness selection, photometric redshifts reach σ_NMAD ≈ 0.003-0.01 and cluster redshifts are recovered to |Δz|/(1+z) < 0.002 at z ≲ 0.5.
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Galaxy clusters in the VIDEO fields: detection and characterisation in the context of MOONRISE
Reports a catalog of 519 cluster candidates (74 at z>1.5) from VIDEO fields via AMICO and WaZP, shows red-sequence galaxies consistent with passive evolution since high redshift, and evaluates MOONRISE detection strategies up to z~1.7.