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Researchers develop algorithm for improving understanding understanding of particle beams in accelerators

Whenever SLAC National Accelerator Laboratory’s linear accelerator is on, packs of around a billion electrons each travel together at nearly the speed of light through metal piping. These electron bunches form the accelerator’s particle beam, which i
Auralee Edelen Ryan Roussel National Accelerator Laboratory University Of Chicago Department Of Energy Office Of Science

Researchers develop clever algorithm to impro

Whenever SLAC National Accelerator Laboratory’s linear accelerator is on, packs of around a billion electrons each travel together at nearly the speed of light through metal piping. These electron bunches form the accelerator’s particle beam, which is used to study the atomic behavior of molecules, novel materials and many other subjects. But trying to estimate what a particle beam actually looks like as it travels through an accelerator is difficult, leaving scientists often with only a rou...
Ryan Roussel Auralee Edelen National Accelerator Laboratory Department Of Energy University Of Chicago Argonne National Laboratory

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Science News | Machine Learning Approach Gives Insights into Magnetic History: Research

Get latest articles and stories on Science at LatestLY. According to research published in the journal Physical Review Letters, a solid method has been created to model magnets used in accelerators. Science News | Machine Learning Approach Gives Insights into Magnetic History: Research.
Uttar Pradesh Department Of Energy District Of Columbia United States Ryan Roussel Auralee Edelen

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