首页|Researcher at University of Sydney Publishes New Study Findings on Machine Learn ing (Suppressing Beam Background and Fake Photons at Belle II using Machine Lear ning)
Researcher at University of Sydney Publishes New Study Findings on Machine Learn ing (Suppressing Beam Background and Fake Photons at Belle II using Machine Lear ning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting originating from the Universi ty of Sydney by NewsRx correspondents, research stated, “The Belle II experiment situated at the SuperKEKB energyasymmetric e+ e- collider began operation in 20 19.” The news correspondents obtained a quote from the research from University of Sy dney: “It has since recorded half of the data collected by its predecessor, and reached a world record instantaneous luminosity of 4.7 x 1034 cm-2s-1. For disti nguishing decays with missing energy from background events at Belle II, the res idual calorimeter energy measured by the electromagnetic calorimeter is an impor tant quantity. Ideally, calorimeter clusters due to beam backgrounds and fake ph otons should be excluded when the residual calorimeter energy is calculated, so identifying them during the analysis process is key. We present two new boosted decision tree classifiers that have been trained to identify such clusters at Be lle II and distinguish them from real photons originating from collision events at the interaction point.”
University of SydneyCyborgsEmerging TechnologiesMachine Learning
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