MLIT at the MPD collaboration meeting On 28–30 October 2025, the JINR Veksler and Baldin Laboratory of High Energy Physics hosted the XVI meeting of the international collaboration of the MPD (Multi-Purpose Detector) experiment at the NICA collider. Based on the talks delivered at the meeting, preparations for the experiment entered the final stretch. The Meshcheryakov Laboratory of Information Technologies presented the latest results obtained by its staff members within their participation in the experiment. Summing up the meeting, MPD Computing Coordinator Oleg Rogachevsky highlighted the contribution of MLIT JINR and commended the Laboratory’s assistance. “We managed to involve a team of world-class IT specialists from MLIT. Without their work, a megascience experiment such as MPD would be simply impossible in modern relativistic nuclear physics,” he said. The major challenge lies in data processing, since the MPD detector will generate huge volumes of information, amounting to petabytes. “The key is not only to obtain data from the detector, but also to organize its storage and intricate processing. It will be impossible to process it online,” Oleg Rogachevsky explained. The central objective here is event reconstruction, namely, a cascade of algorithms that transform raw signals into particle trajectories used in physics analysis. The significance of future scientific discoveries directly depends on the quality of particle reconstruction in collision events. An example of considerable progress in this area was а report by MLIT Lead Researcher Slavomir Hnatic. He and his colleagues from MLIT and VBLHEP are responsible for the development and support of the MpdRoot software framework, the primary tool for offline MPD data reconstruction. In his talk, Hnatic demonstrated important software updates received over the past six months. One of the crucial changes to the particle reconstruction software complex is the application of modern tracking methods based on the CERN ACTS project. MpdRoot now integrates a new TPC (Time Projection Chamber) detector geometry, which cardinally enhances the accuracy of particle trajectory reconstruction compared to previous models. MPDRoot also implements a new, fast clustering algorithm, which is ready to work with the experiment’s real data and outperforms the previous one in key indicators. “Over the next six months, we will focus on integrating tracking in the TPC detector into global reconstruction using information from all detectors of the facility, as well as on implementing and testing algorithms for cleaning and refining the physical parameters of particles,” Slavomir Hnatic shared his plans. In his commentary, he also discussed another key task. To ensure the long-term viability of the software used for the experiment and data analysis, extensive code refactoring is performed. The work, carried out by MLIT Senior Researcher Jan Busa Jr., is critical to maintaining the performance and reliability of the scientific toolkit throughout the experiment’s lifecycle. The MLIT MPD experiment software development and computing team also includes Andrey Moshkin and Igor Pelevanyuk, responsible for distributed computing, and Evgeny and Igor Alexandrov, responsible for database management. As Oleg Rogachevsky pointed out, the software for modeling the MPD experiment has become considerably more detailed and accurate and now embraces all the actual drawings of the facility. “Furthermore, thanks to MLIT researcher Daria Priakhina, we have MPD’s digital twin, which allows us to thoroughly test and refine all data flow algorithms before receiving real data from the experiment,” he underlined.Daria Priakhina, we have MPD’s digital twin, which allows us to thoroughly test and refine all data flow algorithms before receiving real data from the experiment,” he underlined.
