Semi-supervised graph neural networks for pileup noise removal
Abstract The high instantaneous luminosity of the CERN Large Hadron Collider leads to multiple proton–proton interactions in the same or nearby bunch crossings (pileup). Advanced pileup mitigation algorithms are designed to remove this noise from pileup particles and improve the performance of cruci...
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Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2023-01-01
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Series: | European Physical Journal C: Particles and Fields |
Online Access: | https://doi.org/10.1140/epjc/s10052-022-11083-5 |
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