489 citations · 1.9k across the 26 of their papers we have counts for
3 papers · 1 filter
-Flows: Fast and improved neutrino reconstruction in multi-neutrino final states with conditional normalizing flows
John Andrew Raine, Matthew Leigh, Knut Zoch +1
In this work we introduce -Flows, an extension of the -Flows method to final states containing multiple neutrinos. The architecture can natively scale for all combinations…
Topological Reconstruction of Particle Physics Processes using Graph Neural Networks
Lukas Ehrke, John Andrew Raine, Knut Zoch +2
We present a new approach, the Topograph, which reconstructs underlying physics processes, including the intermediary particles, by leveraging underlying priors from the nature of…
PC-JeDi: Diffusion for Particle Cloud Generation in High Energy Physics
Matthew Leigh, Debajyoti Sengupta, Guillaume Quétant +3
In this paper, we present a new method to efficiently generate jets in High Energy Physics called PC-JeDi. This method utilises score-based diffusion models in conjunction with tra…