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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Z. Yu

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Review Open access Aug 2026

Photometric redshifts for active galactic nuclei with LePHARE for the Vera C. Rubin Observatory

Active galactic nuclei (AGNs) play a crucial role in galaxy evolution, but they are a minority of extragalactic sources with diverse spectral energy distributions (SEDs), which depend on their means of selection. Upcoming large-scale surveys such as LSST will identify many AGNs, but analysis tools are not optimized for...

R. Shirley, M. Salvato, J. Cohen-Tanugi et al. · 0 citations
Review Jul 2026

VAR-PZnn: A machine-learning framework for AGN photometric redshifts using color and variability-based features

VAR-PZnn, a fully connected mixture density network that integrates 26 variability features extracted from ZTF g-band light curves with optical photometry from Pan-STARRS1, mid-infrared (MIR) photometry from CatWISE, and, for a subsample, NIR photometry from UKIDSS, provides a scalable approach for the Legacy Survey of...

S. Satheesh-Sheeba, P. Sánchez-Sáez, R. Assef et al. · 0 citations

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