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From the 2 of 6 linked papers with an AI index.

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6 papers

gr-qc2026

The radial action for massive particles in spherically symmetric geometries: Exact resummation at any PM order

Donato Bini, Giorgio Di Russo

The paper derives exact, resummed expressions for the radial action of massive particles on hyperbolic-like geodesics in various spherically symmetric spacetimes, linking the resul…

gr-qc2026

5d Schwarzschild-Tangherlini spacetime: MST-like formalism for a Reduced Confluent Heun Equation

Donato Bini, Giorgio Di Russo, Veronica Fantini

The paper studies the five‑dimensional Schwarzschild‑Tangherlini black hole, analyzing its geodesic scattering, Lyapunov exponents for circular orbits, and massless scalar perturba…

gr-qc2026

Gravitational waveform from radial infall at the third-and-half Post-Newtonian order

Giorgio Di Russo, Donato Bini

We compute the gravitational waveform associated with a radially infalling particle in a Schwarzschild black hole working in the center-of-mass system and in a post-Newtonian (PN)…

gr-qc2026

Radial fall: the gravitational waveform up to the second-and-half Post-Newtonian order

Donato Bini, Giorgio Di Russo

We consider an application of the Multipolar Post Minkowskian formalism to the case of a two-body system in radial fall. We compute, within the post-Newtonian approximation, the as…

gr-qc2025

Resumming Post-Minkowskian and Post-Newtonian gravitational waveform expansions

Andrea Cipriani, Giorgio Di Russo, Francesco Fucito +3

We derive formulae that resum, at a given order in the soft limit, the infinite series of Post-Minkowskian (small gravitational coupling) or Post-Newtonian (small velocities) corre…

hep-th2025

Hamiltonian Neural Networks approach to fuzzball geodesics

Andrea Cipriani, Alessandro De Santis, Giorgio Di Russo +2

The recent increase in computational resources and data availability has led to a significant rise in the use of Machine Learning (ML) techniques for data analysis in physics. Howe…