The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
Tech Xplore on MSN
Pinpointing direction in noisy 2D data: New algorithm could improve imaging, AI, particle research and more
A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...
A particle collision reconstructed using the new CMS machine-learning-based particle-flow (MLPF) algorithm. The HFEM and HFHAD signals come from the ...
A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in complex two-dimensional (2D ...
Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
News-Medical.Net on MSN
New nanoparticle separation method boosts biotech and cancer research
In nanoscale particle research, precise control and separation have long been a bottleneck in biotechnology. Researchers at ...
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 ...
Medical imaging methods such as ultrasound and MRI are often affected by background noise, which can introduce blurring and obscure fine anatomical details in the images. For clinicians who depend on ...
Tenjimbayashi and colleagues note that particle-coated droplets slipped off the substrate much more easily than did non-coated particles on a coated substrate. That’s because of differences between ...
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