4 papers
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…
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…
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…
Conservative Spin Magnitude Change in Orbital Evolution in General Relativity
Mark Alaverdian, Zvi Bern, Dimitrios Kosmopoulos +4
We show that physical scattering observables for compact spinning objects in general relativity can depend on additional degrees of freedom in the spin tensor beyond those describe…