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Machine learning narrows search for additional particles in the Higgs boson family
United Kingdom🔬 Science4 hr. ago

Machine learning narrows search for additional particles in the Higgs boson family

Scientists are exploring the possibility that the Higgs boson discovered in 2012 may be part of a larger family of particles, rather than being the sole member. Researchers from IIT Gandhinagar, collaborating with experts from the Harish-Chandra Research Institute, propose a three-Higgs model that introduces multiple types of Higgs fields. Their research, presented at the PASCOS conference, uses machine learning techniques to analyze potential configurations and outlines methods for detecting additional Higgs particles using future colliders. The studies, published in 'Physical Review D' and 'The European Physical Journal,' suggest that such a model could explain phenomena like dark matter and asymmetry between matter and antimatter, expanding beyond the limitations of the Standard Model.

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Phys.org logoPhys.orgIndependentCenter4 hr. ago
Machine learning narrows search for additional particles in the Higgs boson family

Scientists are exploring the possibility that the Higgs boson discovered in 2012 may be part of a larger family of particles, rather than being the sole member. Researchers from IIT Gandhinagar, collaborating with experts from the Harish-Chandra Research Institute, propose a three-Higgs model that introduces multiple types of Higgs fields. Their research, presented at the PASCOS conference, uses machine learning techniques to analyze potential configurations and outlines methods for detecting additional Higgs particles using future colliders. The studies, published in 'Physical Review D' and 'The European Physical Journal,' suggest that such a model could explain phenomena like dark matter and asymmetry between matter and antimatter, expanding beyond the limitations of the Standard Model.

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