NRNU MEPhI: Altai State University has become a member of the consortium "Cosmic rays and elementary particles"

11 January 2021 Department of Information and Media Communications
The official website of the National Research Nuclear University MEPhI (Moscow Engineering Physics Institute) has  reported that Altai State University became part of the consortium "Cosmic rays and elementary particles".

In order to form a unified scientific space in the field of physics of cosmic rays and elementary particles and coordinate fundamental and applied research, the consortium "Cosmic rays and elementary particles" was created, which, in addition to NRNU MEPhI, included:

 • Skobeltsyn Institute of Nuclear Physics of Lomonosov Moscow State University (SINP MSU);
 • P. N. Lebedev Institute of Physics of the Russian Academy of Sciences (LPI RAS);
• Institute for Nuclear Research of the Russian Academy of Sciences (INR RAS);
 • Pushkov Institute of Terrestrial Magnetism, Ionosphere and Radiowave Propagation of the Russian Academy of Sciences  of the Russian Academy of Sciences (IZMIRAN);
• Yu.G. Shafer Institute of Cosmophysical Research and Aeronomy
of Siberian Branch of the Russian Academy of Sciences
• Institute of Solar-Terrestrial Physics, Siberian Branch of RAS (ISTP SB RAS);

Altai State University (AltSU);
• The Trofimuk Institute of Petroleum Geology and Geophysics, Siberian Branch of the Russian Academy of Sciences (IPGG SB RAS).
The NRNU MEPhI website specifies that the cooperation of the consortium members will be carried out in the following main areas:
• Studies of low-energy cosmic rays for the purpose of early detection and prediction of the further development of potentially dangerous processes and phenomena in the Earth's magnetosphere and atmosphere.
• Research of ultrahigh-energy cosmic rays in order to study their origin and search for new physical processes or states of matter, manifesting themselves at energies inaccessible to modern accelerator experiments.
• Research of fundamental properties of matter in hadron-hadron, including nucleus-nucleus, interactions in order to search for new states of hadronic matter (including quark-gluon matter), as well as manifestations of new physics beyond the Standard Model.
• Development of new methods for processing large amounts of data, including neural networks and machine learning.

Printable version
share