Continuous normalizing flows improve unweighting efficiency in Monte Carlo event generation for high-jet-multiplicity collider processes by factors up to 184, with wall-time gains of about ten when combined with coupling-layer flows.
Bothmann et al.,Efficient precision simulation of processes with many-jet final states at the LHC, Phys
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ATLAS collaboration reports ongoing efforts to assess and reduce the environmental impact of its computing infrastructure for current LHC operations and the High-Luminosity LHC era.
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Monte Carlo Event Generation with Continuous Normalizing Flows
Continuous normalizing flows improve unweighting efficiency in Monte Carlo event generation for high-jet-multiplicity collider processes by factors up to 184, with wall-time gains of about ten when combined with coupling-layer flows.
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The environmental impact, carbon emissions and sustainability of computing in the ATLAS experiment
ATLAS collaboration reports ongoing efforts to assess and reduce the environmental impact of its computing infrastructure for current LHC operations and the High-Luminosity LHC era.