Particle Seminar: Anindita Maiti (Perimeter), Title: Neural Network Field Theory: Fermions and Supersymmetry
Title: Neural Network Field Theory: Fermions and Supersymmetry Abstract: Based on a duality between Neural Network (NN) architectures, the backbone of modern AI/ML, and field theory, the Neural Network Field Theory (NNFT) correspondence offers a robust, interpretable, and training-free simulation framework for scalar, fermionic, and supersymmetric field theories. By constraining NNs in a maximally physics-informed manner, this approach eliminates the need for … Read More
Particle Seminar: Julie Pages (SLAC), Title: Towards a Field Redefinition Invariant Description of Effective Field Theories
Title: Towards a Field Redefinition Invariant Description of Effective Field Theories Abstract: Physical observables are invariant under field redefinitions, motivating a geometric formulation of Effective Field Theories. I will first review the scalar field-space geometry, where scalar fields are treated as coordinates on a Riemannian manifold, and show how this perspective simplifies calculations involving higher-dimensional operators, particularly in the context … Read More