8 citations · 10 across the 11 of their papers we have counts for
21 papers
Logarithmic Wavelets for Dark Matter--Phonon Scattering
Xu-Xiang Li, Zhengkang Zhang
Phonon excitations in crystals are a promising detection channel for sub-GeV dark matter (DM), and anisotropic targets add directional sensitivity through the daily modulation of t…
Astrophysical Uncertainties in Sub-GeV Dark Matter Detection via Single Phonon Excitations
Xu-Xiang Li, Navaneetha Valsan, Zhengkang Zhang
We present the first systematic study of how local dark matter velocity distribution uncertainties propagate into direct detection rates for dark matter--single phonon scattering.…
Optimal Architecture and Fundamental Bounds in Neural Network Field Theory
Zhengkang Zhang
Neural network field theory (NNFT) represents fields as neural networks and samples field configurations by drawing network parameters from a probability distribution. We identify…
Geometric Building Blocks of Effective Field Theory Amplitudes
Timothy Cohen, Xu-Xiang Li, Zhengkang Zhang
On-shell amplitudes are invariant under field redefinitions. Nonderivative field redefinitions have a natural interpretation as coordinate transformations on the target manifold. G…
The Geometric Universal One-Loop Effective Action
Xu-Xiang Li, Xiaochuan Lu, Zhengkang Zhang
We derive universal formulae for integrating out heavy degrees of freedom in scalar field theories up to one-loop level in terms of covariant quantities associated with the geometr…
What is the Geometry of Effective Field Theories?
Timothy Cohen, Xiaochuan Lu, Zhengkang Zhang
We elaborate on a recently proposed geometric framework for scalar effective field theories. Starting from the action, a metric can be identified that enables the construction of g…