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.