Mathematical methods, algorithms and software for modeling physical processes and experimental facilities, processing and analyzing experimental data The project is aimed at organizing and providing computational support for physics research programmes implemented withJINR’s participation, at developing mathematical methods and software for modelling physical processes and experimental facilities, processing and analysing experimental data in the field of elementary particle physics, nuclear physics, neutrinophysics, condensed matter, radiobiology, etc. The particular attention will be paid to the creation of systems for the distributed processing and analysis of experimental data, as well as information and computing platforms to support research at JINR and other world centres. The main areas of work are mathematical and computational physics to support JINR’s large research infrastructure projects,first of all, the experiments at the NICA accelerator complex and the Baikal-GVD neutrino telescope. Further cooperationwith experiments at the largest world accelerator centres (CERN, BNL, etc.), experiments in the field of neutrino physics and astrophysics, radiobiological research programmes will also be continued. The possibility of using the developed methods andalgorithms within other megascience projects is being considered. Expected results upon completion of the project:: Revision of interaction generators and their development for modelling the processes of interactions of light and heavy nuclei, including those at NICA energies (FTF, QGSM, DCM-QGSM-SMM, etc.), and processes beyond the Standard Model, such as the production of candidate particles for the role of dark matter, additional Higgs bosons and processes that violate the lepton number, etc. (QBH, Pythia, MadGraph, etc.) for LHC conditions at a nominal energy and a total integrated luminosityup to 450 fb -1. Development of algorithms for the reconstruction of charged particle tracks for experimental facilities, including those at NICA and the LHC, creation of appropriate software and its application for data processing and analysis, the study of the physical and technical characteristics of detector systems. Development of scalable algorithms and software for processing multi-parameter, multi-dimensional, hierarchical data sets ofexabyte volume, including those based on recurrent and convolutional neural networks, for machine and deep learning tasks, designed primarily for solving various problems in particle physics experiments, including for the NICA megaproject and neutrino experiments. Creation and development of data processing and analysis systems and modern research tools for international collaborations (NICA, JINR neutrino programme, experiments at the LHC). Development of algorithms and software for JINR’s research projects in the field of neutron physics. Development of algorithms, software and computing platforms for radiobiological research, applied research in the field ofproton therapy and ecology.
