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.
An innovative algorithm for detecting collisions of high-speed particles within nuclear fusion reactors has been developed, inspired by technologies used to determine whether bullets hit targets in video games. This advancement ...
Plasma Physics
Apr 23, 2025
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171
While the threat that microplastics pose to human and ecological health has been richly documented and is well known, nanoplastics, which are smaller than one micrometer (1/50th the thickness of an average human hair), are ...
Environment
Apr 1, 2025
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93
In order to find rare processes from collider data, scientists use computer algorithms to determine the type and properties of particles based on the faint signals that they leave in the detector. One such particle is the ...
General Physics
Feb 3, 2025
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44
In the quest to uncover the fundamental particles and forces of nature, one of the critical challenges facing high-energy experiments at the Large Hadron Collider (LHC) is ensuring the quality of the vast amounts of data ...
General Physics
Nov 13, 2024
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126
Since the launch of the Large Hadron Collider, there has been ongoing research there into Higgs bosons and a search for traces of physics beyond the existing model of elementary particles. Scientists working at the ATLAS ...
General Physics
Nov 7, 2024
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197
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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100
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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58
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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123
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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