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.
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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26
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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73
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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224
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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11
Cosmic rays are extremely fast, charged particles that travel through space at nearly the speed of light. The Amaterasu particle was detected in 2021 by the Telescope Array experiment in the U.S. It is the second-highest-energy ...
Astronomy
Feb 5, 2026
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109
Scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory have developed a novel artificial intelligence (AI)-based method to dramatically tame the flood of data generated by particle detectors at ...
General Physics
Feb 2, 2026
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30
Extracellular vesicles and particles are central to how cells communicate, especially in cancer, where they help shape metastasis and treatment resistance. However, most existing methods analyze vesicles in bulk, masking ...
Bio & Medicine
Feb 1, 2026
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17
Solving life's great mysteries often requires detective work, using observed outcomes to determine their cause. For instance, nuclear physicists at the U.S. Department of Energy's Thomas Jefferson National Accelerator Facility ...
General Physics
Jun 25, 2025
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55
Analyzing massive datasets from nuclear physics experiments can take hours or days to process, but researchers are working to radically reduce that time to mere seconds using special software being developed at the Department ...
Optics & Photonics
May 19, 2025
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32
When I first started working with integral field spectroscopic (IFU) data, I was struck by how much complexity was being averaged out or masked by traditional processing techniques. Most segmentation methods in astronomy—especially ...
