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SUMMARY:S-matrix Bootstrap with machine learning
DTSTART:20260427T123000Z
DTEND:20260427T143000Z
DTSTAMP:20260506T053700Z
UID:indico-event-51905@agenda.infn.it
DESCRIPTION:Speakers: Damien Leflot (LAPTh)\n\nThe S-matrix bootstrap uses
  general physical principles like unitarity\, analyticity\, and crossing s
 ymmetry to study strongly interacting dynamics beyond perturbation theory.
  While the modern bootstrap has achieved significant success\, I will moti
 vate the need for a new framework that explicitly incorporates both elasti
 c and inelastic unitarity. I will then describe such a framework: the Atki
 nson-Mandelstam approach and explain how deep-learning techniques enable i
 ts practical realization. Finally\, I will present some of the results obt
 ained using this approach.\n\nhttps://agenda.infn.it/event/51905/
URL:https://agenda.infn.it/event/51905/
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