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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

Xiang-Chong Li

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Review Oct 2026

Weak-Lensing Shear Response for Photometric Redshift-Based Tomographic Binning

Dividing source galaxies into tomographic redshift bins is a cornerstone of modern weak gravitational lensing analyses, enabling measurements of the growth of cosmic structure and the nature of dark energy. In practice, these tomographic bins are defined using photometric redshift (photo-$z$) estimates. However, correl...

Xiang-Chong Li, Tian-Qing Zhang, R. Mandelbaum et al. · 0 citations
Review Open access Mar 2026

D4CNN×AnaCal: Physics-informed Machine Learning for Accurate and Precise Weak-lensing Shear Estimation

A fully D4-equivariant deep neural network for galaxy shape measurement whose architecture enforces symmetry under 90° rotations and mirror transformations is constructed, and the Analytical Calibration framework is adopted to calibrate the model using its backpropagated gradients.

Shu-Rui Lin, Xiangchong Li, Ji Li et al. · 0 citations

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