Authors: George Rajna
The researchers trained generative competitive networks to predict the behavior of charged elementary particles. The results showed that physical phenomena can be described using neural networks highly accurately.  New data from the STAR experiment at the Relativistic Heavy Ion Collider (RHIC) add detail-and complexity-to an intriguing puzzle that scientists have been seeking to solve: how the building blocks that make up a proton contribute to its spin.  Approximately one year ago, a spectacular dive into Saturn ended NASA's Cassini mission-and with it a unique, 13-year research expedition to the Saturnian system.  Scientists from the Niels Bohr Institute, University of Copenhagen, and their colleagues from the international ALICE collaboration recently collided xenon nuclei, in order to gain new insights into the properties of the Quark-Gluon Plasma (the QGP)-the matter that the universe consisted of up to a microsecond after the Big Bang.  The energy transfer processes that occur in this collisionless space plasma are believed to be based on wave-particle interactions such as particle acceleration by plasma waves and spontaneous wave generation, which enable energy and momentum transfer.  Plasma particle accelerators more powerful than existing machines could help probe some of the outstanding mysteries of our universe, as well as make leaps forward in cancer treatment and security scanning-all in a package that's around a thousandth of the size of current accelerators.  The Department of Energy's SLAC National Accelerator Laboratory has started to assemble a new facility for revolutionary accelerator technologies that could make future accelerators 100 to 1,000 times smaller and boost their capabilities.  The authors designed a mechanism based on the deployment of a transport barrier to confine the particles and prevent them from moving from one region of the accelerator to another.
Comments: 87 Pages.
[v1] 2019-03-15 07:17:30
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