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Probing matter-antimatter asymmetry with AI
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 Send message Joined: 7 May 08 Posts: 199 Credit: 1,512,627 RAC: 293  
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CMS matter-antimatter asymmetry In a recent measurement using data collected in 2017-2018, CMS has used a graph neural network to separate mesons from antimesons. This is a cutting-edge AI algorithm that performs accurate flavor tagging by gathering information from the particles surrounding the Bs meson. Thanks to the AI-powered flavor tagging, the CMS measurement has reached a precision comparable to that of LHCb |
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