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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

B. Hadzhiyska

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2 papers indexed here

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Preprint Sep 2026

BINDing the lightcone: A suite of astrophysical ray-traced weak lensing and SZ maps

Recent multiwavelength observations of galaxy group and cluster gas suggest stronger baryonic feedback than our best-calibrated hydrodynamical simulations produce, while modeling this feedback remains a primary source of uncertainty in Stage-IV weak-lensing (WL) analyses. We present a suite of ray-traced maps generated...

Max E. Lee, S. Genel, Z. Haiman et al. · 0 citations
Review Sep 2026

BIND (Baryonic INpainting with Deep learning): A Field-level Emulator for Galaxy Groups and Clusters

BIND (Baryonic INpainting with Deep learning), a conditional flow-matching model that learns a field-level mapping from dark-matter-only halos to their hydrodynamical counterparts, is introduced and extended to thermodynamic fields and non-Gaussian weak-lensing statistics.

Max E. Lee, S. Genel, Z. Haiman et al. · 0 citations

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