High Energy Physics Data Analysis Laboratory (10)

Planned project outcomes:

Establishment of the Center for Information and Technical Support for Russian users of the Geant4 toolkit (Geant4RU) to provide Russian organizations with access to advanced methods for modeling radiation-matter interactions in a range of fields, including high-energy physics, nuclear physics, accelerator physics, radiation medicine and space research, and to increase the number of Russian developers of the Geant4 toolkit.

Creation and testing of new Geant4/Geant4RU-based physical and geometric models to increase accuracy and performance of particle-matter interaction modeling for a wide range of practical applications in high-energy physics and nuclear technology. Creation of new Geant4-based programs for applied research and practical application in the space industry and radiation medicine to facilitate the advancement of relevant scientific and technological fields in the Russian Federation.

Creation and testing of innovative technical solutions for the SPD NICA experiment, with the potential application in other scientific and technological fields beyond high-energy physics. Development of new methods of big data analysis based on machine learning to enhance the efficiency of physical data analysis from megascience experiments in the field of particle physics, and in other areas of science and technology related to big data analysis. Areas of potential application beyond particle physics include sociology, economics, linguistics, meteorology, medicine, and space research. Methods of big data analysis developed for high-energy physics will be adapted for the study, control and monitoring of atmospheric conditions. Machine learning methods will facilitate processing and analysis of big data processing and analysis, enabling identification of patterns inaccessible through the use of alternative techniques. This will facilitate a more comprehensive understanding of the impact of diverse factors on climate processes, thereby enabling more accurate weather forecasts and prediction of climate anomalies. Incorporation of scientific findings and sophisticated engineering and software solutions into the undergraduate, graduate, and postgraduate programs at TSU, along with the direct involvement of TSU students and postgraduates in experiments conducted at Russian and international megascience facilities, will improve training of highly qualified professionals with a solid foundation in physics and mathematics, and practical experience in the application of advanced methods for big data collection, processing and analysis