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.
A team of scientists have invented a technique to determine the dynamics of microscopic interacting particles by using image recognition to count the number of particles in an imaginary box. By changing the size of the observation ...
A research team has used a machine learning approach to investigate the evolution of shell structure for nuclei far from the stability valley. The study, published in Physics Letters B and conducted by researchers from the ...
General Physics
Sep 18, 2024
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The pharmaceutical manufacturing industry has long struggled with the issue of monitoring the characteristics of a drying mixture, a critical step in the production of medication and chemical compounds.
Optics & Photonics
Sep 12, 2024
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It sounds fantastical, but it's a reality for the scientists who work at the world's largest particle collider.
Condensed Matter
Jul 29, 2024
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In an ongoing game of cosmic hide and seek, scientists have a new tool that may give them an edge. Physicists at the U.S. Department of Energy's (DOE) Princeton Plasma Physics Laboratory (PPPL) have developed a computer program ...
Plasma Physics
Jul 2, 2024
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One of the main goals of the LHC experiments is to look for signs of new particles, which could explain many of the unsolved mysteries in physics. Often, searches for new physics are designed to look for one specific type ...
General Physics
Jun 13, 2024
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A research team in China has initiated and successfully developed a jet origin identification technology which can significantly enhance the scientific discovery capabilities of high-energy collider experiments.
General Physics
Jun 5, 2024
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Scientists used a neural network, a type of brain-inspired machine learning algorithm, to sift through large volumes of particle collision data. Particle physicists are tasked with mining this massive and growing store of ...
General Physics
Apr 15, 2024
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The experiments at the Large Hadron Collider (LHC) require high-performance event-selection systems—known as "triggers" in particle physics—to filter the flow of data to manageable levels. The triggers pick events with ...
General Physics
Apr 11, 2024
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Particles colliding in accelerators produce numerous cascades of secondary particles. The electronics processing the signals avalanching in from the detectors then have a fraction of a second in which to assess whether an ...
General Physics
Mar 21, 2024
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