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UFRGS-HEP Journal Club

Monday 5 Apr 2021, 18:00 → 19:00 America/Sao_Paulo

IF-UFRGS

IF-UFRGS

Gustavo Gil Da Silveira (Universidade do Estado do Rio de Janeiro (BR))

- 1
  
  Guilherme Peccini (adiado)
  
  Modern Machine Learning and Particle Physics
  Matthew D. Schwartz
  
  Hide abstract | Show figures | Show BibTeX | Show discussion | View PDF | 2103.12226v1
  
  Over the past five years, modern machine learning has been quietly revolutionizing particle physics. Old methodology is being outdated and entirely new ways of thinking about data are becoming commonplace. This article will review some aspects of the natural synergy between modern machine learning and particle physics, focusing on applications at the Large Hadron Collider. A sampling of examples is given, from signal/background discrimination tasks using supervised learning to direct data-driven approaches. Some comments on persistent challenges and possible future directions for the field are included at the end.