3 papers
hep-ph2026
Efficient AI-Inspired Reduction of Feynman Integrals via Tube Seeding
Justin Berman, Francois Charton, Andres Luna +2
In this paper, we use machine learning to discover a new seeding strategy for integration-by-parts reduction of Feynman integrals, which is a frequent bottleneck in state-of-the-ar…
hep-th2025
Bootstrapping Classical Spinning Compton Amplitudes with Colour-Kinematics
Ingrid Vazquez-Holm, Andres Luna
We set up a procedure to systematically obtain Compton-like amplitudes in an arbitrary-spin theory, exploiting their factorization properties, and colour-kinematics duality. We fur…
hep-th2025
Observables and Unconstrained Spin Tensor Dynamics in General Relativity from Scattering Amplitudes
Mark Alaverdian, Zvi Bern, Dimitrios Kosmopoulos +4
In a previous Letter, we showed that physical scattering observables for compact spinning objects in general relativity can depend on additional degrees of freedom in the spin tens…