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AI enhances Higgs boson's charm
The CMS collaboration presents a new search for the decay of a Higgs boson into charm quarks, bringing physicists closer to unravelling how this unique particle endows matter with mass The Higgs boson, discovered at the Large Hadron Collider (LHC) in 2012, plays a central role in the Standard
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AI enhances Higgs boson's charm
The CMS collaboration presents a new search for the decay of a Higgs boson into charm quarks, bringing physicists closer to unravelling how this unique particle endows matter with mass The Higgs boson, discovered at the Large Hadron Collider (LHC) in 2012, plays a central role in the Standard
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AI enhances the Higgs boson's 'charm'
The Higgs boson, discovered at the Large Hadron Collider (LHC) in 2012, plays a central role in the Standard Model of particle physics, endowing elementary particles such as quarks with mass through its interactions. The Higgs boson's interaction with the heaviest "third-generation" quarks -- top
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AI brings CERN scientists closer to cracking the Higgs boson's charm
To overcome the challenge, the CMS team turned to advanced AI, leveraging two machine-learning models tailored for the challenge. First, they used a type of algorithm called a graph neural network to enhance charm jet identification. These algorithms treat each jet as a network of particles,
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CERN's CMS collaboration employs advanced AI techniques to improve the search for Higgs boson decay into charm quarks, setting new limits on this interaction and bringing scientists closer to understanding the particle's role in mass generation.
In a groundbreaking development at CERN, scientists have employed cutting-edge artificial intelligence techniques to enhance the search for a rare decay of the Higgs boson. The CMS collaboration has presented the results of their novel approach, which brings researchers closer to understanding how this unique particle endows matter with mass
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.While the Higgs boson's interactions with heavier quarks have been observed, probing its relationship with lighter quarks, particularly the charm quark, has remained a formidable challenge. The difficulty lies in distinguishing the rare process of a Higgs boson decaying into charm quarks from similar-looking background events in high-energy proton-proton collisions at the Large Hadron Collider (LHC)
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.To overcome these obstacles, the CMS researchers implemented two sophisticated machine-learning models:
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.Sebastian Wuchterl, a research fellow at CERN, explained, "This search required a paradigm shift in analysis techniques. Because charm quarks are harder to tag than bottom quarks, we relied on cutting-edge machine-learning techniques to separate the signal from backgrounds"
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.The AI-enhanced analysis, focusing on data collected from 2016 to 2018, has yielded impressive results. The CMS team reported an improvement of around 35% in sensitivity compared to previous constraints on the Higgs-charm interaction
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This advancement brings scientists closer to confirming the Higgs boson's decay into charm quarks, a crucial step in understanding its role in mass generation for all quarks. Jan van der Linden, a postdoctoral researcher at Ghent University, stated, "With more data from upcoming LHC runs and improved analysis techniques, we may gain direct insight into the Higgs boson's interaction with charm quarks at the LHC -- a task that was thought impossible a few years ago"
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.As the LHC continues its operations, further refinements in charm tagging and Higgs boson event classification are expected. These advancements could eventually lead to a definitive confirmation of the Higgs boson's decay into charm quarks, providing a crucial test of the 50-year-old Standard Model of particle physics
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