The specifics of working with data in physics experiments were discussed at MIPT The second scientific school-seminar "New Methods of Processing Physical Experiment Data" was held in a mixed format at the Moscow Institute of Physics and Technology (MIPT) on December 2–4. The event's goal was to unite the efforts of different experimental groups in developing new concepts for processing large volumes of data. The organizers were MIPT and the Joint Institute for Nuclear Research. More than 80 specialists, postgraduates, and students from leading Russian scientific and educational organizations took part in the school-seminar. The event featured reports covering key aspects of the development of computational technologies in the field of high-energy physics, current issues related to organizing work with data, and the use of machine learning methods in a wide variety of experiments. Director of the Laboratory of Information Technologies (LIT) of JINR Sergey Shmatov greeted the participants on behalf of the Joint Institute and gave a lecture on why physicists need to understand computational methods and data processing techniques using the example of experiments at the Large Hadron Collider (LHC) at CERN. He also spoke about LIT's plans to organize data collection and storage systems for the NICA mega-science project implemented at JINR. Senior researcher at LIT JINR Martin Bures gave a report on the use of quantum algorithms in the reconstruction of events in collider experiments. The event became a unique platform for active interaction and exchange of experience between scientists and young specialists from leading Russian institutes interested in the use of new methods for obtaining, processing and processing data from mega-science physics experiments, such as the NICA (Nuclotron based Ion Collider Acility) complex at JINR. More...
