S-matrix Bootstrap with Machine Learning
by
Amphithéâtre Léon Motchane
IHES
Séminaire Amplitudes et Gravitation sur l'Yvette (IHES/IPhT)
The S-matrix bootstrap is a non-perturbative framework that exploits general physical principles such as unitarity, analyticity, and crossing symmetry to constrain scattering amplitudes and gain insights into strongly interacting dynamics where perturbation theory fails. I will briefly review the state of the art of the modern bootstrap and motivate the need for a new framework that incorporates multi-particle unitarity. I will then describe the Atkinson-Mandelstam method and explain how deep-learning techniques enable its practical realization. Finally, I will present some of the results obtained using this approach.
Pour être informé des prochains séminaires vous pouvez vous abonner à la liste de diffusion en écrivant un mail à sympa@listes.math.cnrs.fr avec comme sujet: "subscribe seminaire_physique PRENOM NOM"
(indiquez vos propres prénom et nom) et laissez le corps du message vide.
Julio Parra-Martinez & Alessandro Podo