Particle data analysis is a computational technique used to process and interpret data from particle detectors in high-energy, nuclear, or astroparticle physics experiments. It encompasses event reconstruction, track finding, vertex reconstruction, particle identification, and energy/momentum estimation from raw detector signals. The method relies on statistical inference, likelihood fits, multivariate classification, and unfolding procedures to extract physical observables from detector-level quantities while correcting for efficiencies, resolutions, and backgrounds. Particle data analysis pipelines are typically implemented within specialized software frameworks and are essential for testing theoretical models and determining parameters such as cross sections, lifetimes, and branching ratios.
Artificial intelligence and machine learning are shaping major design and research decisions for the planned Electron-Ion Collider (EIC), a next-generation nuclear physics research facility that will collide electrons with ...
General Physics
May 18, 2026
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Understanding how wounds heal after injury could be a step closer thanks to a new mathematical model developed by researchers at the University of Bristol. The study, published in Physical Review Letters, builds on previous ...
Cell & Microbiology
Apr 27, 2026
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One of the biggest open questions in particle physics today is how the Higgs boson interacts with itself. This "self-coupling" could help explain the evolution of the early universe and the mechanism that gives mass to elementary ...
General Physics
Apr 22, 2026
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Recent findings from research we have been carrying out at the Large Hadron Collider (LHC) at Cern in Geneva suggest that we might be closing in on signs of undiscovered physics.
General Physics
Apr 20, 2026
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An international collaboration, including Northwestern University, has reached a critical milestone in the search for dark matter, the mysterious substance that makes up about 85% of all matter in the universe. Located two ...
General Physics
Mar 18, 2026
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Two parallel experiments in protein self-assembly produced strikingly different results, demonstrating that protein designers should consider incorporating physical forces now missing from even Nobel-prize-winning protein ...
Bio & Medicine
Mar 16, 2026
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The NA62 Collaboration has dramatically reduced the uncertainty in its measurement of an extremely rare particle decay, in results just presented at the 2026 La Thuile conference.
General Physics
Mar 4, 2026
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The tiny fatty capsules that deliver COVID-19 mRNA vaccines into billions of arms may work better when they're a little disorganized. That's the surprising finding from researchers who developed a new way to examine these ...
Bio & Medicine
Feb 21, 2026
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The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly and precisely than traditional ...
General Physics
Feb 18, 2026
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A new study may change the way scientists think about the distance traveled by tiny bubbles carrying signals between cells that are embedded in tissue. These particles, called extracellular vesicles, are known to safely carry ...
Molecular & Computational biology
Feb 11, 2026
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