Search Results for author: Peter McKeown

Found 3 papers, 2 papers with code

CaloClouds II: Ultra-Fast Geometry-Independent Highly-Granular Calorimeter Simulation

1 code implementation11 Sep 2023 Erik Buhmann, Frank Gaede, Gregor Kasieczka, Anatolii Korol, William Korcari, Katja Krüger, Peter McKeown

We further distill the diffusion model into a consistency model allowing for accurate sampling in a single step and resulting in a $46\times$ ($37\times$ over CaloClouds) speed-up.

CaloClouds: Fast Geometry-Independent Highly-Granular Calorimeter Simulation

2 code implementations8 May 2023 Erik Buhmann, Sascha Diefenbacher, Engin Eren, Frank Gaede, Gregor Kasieczka, Anatolii Korol, William Korcari, Katja Krüger, Peter McKeown

Simulating showers of particles in highly-granular detectors is a key frontier in the application of machine learning to particle physics.

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