Tetraquarks challenge traditional physics and offer new insights into fundamental forces.
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This article discusses QED corrections in particle decay processes and their implications.
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Innovative systems prevent data loss during supernova events at Super-Kamiokande.
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A new Kalman Filter enhances tracking of charged particles in Time Projection Chambers.
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An overview of neutrino interactions and the significance of transverse kinematic imbalance.
― 7 min read
Research on charm meson decays reveals new insights into particle behavior.
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SMEFT sheds light on particle interactions and potential new physics.
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A critical look at the Monte Carlo replica method's reliability in parameter estimation.
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Research improves models of how quarks and gluons form hadrons in high-energy collisions.
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Researchers apply machine learning to study charm mesons in particle physics.
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Research delves into dark matter detection using advanced machine learning techniques.
― 8 min read
ATLAS reveals crucial measurements about top quarks at the LHC.
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A look at how the mirror twin Higgs model addresses key questions in physics.
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Examining tri-hypercharge theory and its implications in particle physics.
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Researchers investigated charmonium states, aiming to find new processes in specific energy ranges.
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Investigating scalar particles decaying into Higgs bosons through high-energy collisions.
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New insights into particle interactions using Standard Model Effective Field Theory.
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Scientists improve detection methods for dark photons, potential candidates for dark matter.
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A study examining non-resonant Higgs boson pairs and their interactions.
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A look into the significance of semileptonic decays in particle physics.
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The VELO Upgrade enhances precision and data collection at CERN's LHCb detector.
― 4 min read
A new machine learning method improves particle event analysis in high-energy physics.
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Hyperon decays provide insights into particle interactions and potential new physics.
― 4 min read
Combining generative models and maximum likelihood estimation enhances detector calibration precision.
― 8 min read
Research sheds light on hyperon polarization during high-energy collisions.
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OmniLearn enhances jet physics analysis through innovative machine learning techniques.
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Exploring the complexities of charge-parity conservation in particle physics.
― 7 min read
Research into nTGCs could reveal new physics beyond the Standard Model.
― 6 min read
Scientists investigate dark matter using advanced techniques at the LHC.
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Unraveling potential partner particles through advanced research and technology.
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LUX-ZEPLIN aims to uncover the secrets of elusive WIMPs and dark matter.
― 4 min read
Exploring heavy-ion collisions reveals the complex behavior of gluons in nuclear matter.
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ANAIS-112 reveals no evidence supporting dark matter signals reported by DAMA.
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Researchers investigate Higgs boson pairs using vector-boson fusion.
― 4 min read
Understanding CP violation sheds light on matter-antimatter imbalance in the universe.
― 6 min read
Exploring how the eGM model sheds light on Higgs boson interactions.
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Recent research investigates heavy Higgs bosons decaying into top quarks using LHC data.
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Scientists create a hybrid material to improve neutron detection for dark matter research.
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Machine learning techniques improve data analysis in particle physics experiments.
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Research reveals links between gas density and background noise in ATLAS.
― 5 min read