Linearized optimal transport for collider events

HIGHLIGHTS

• who: Tianji Cai and collaborators from the DepartmentUniversity of California, Santa Barbara, California, USA have published the research work: Linearized optimal transport for collider events, in the Journal: (JOURNAL) of 29/Dec/2020
• what: It also furnishes a Euclidean embedding amenable to simple machine learning algorithms and visualization techniques which the authors demonstrate in a variety of jet tagging examples. The authors implement the LOT approximation of the 2-Wasserstein distance, as introduced in Ref . The authors demonstrate its utility as input to ML algorithms tasked with discriminating between samples of boosted jets containing diverse . . .
  

   

  

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