Yury Bordulev, a researcher at the High Energy Physics Data Analysis Laboratory, Faculty of Physics, has received a grant from the ATLAS international collaboration to develop new data storage algorithms. In using these algorithms, it will be necessary to reduce the amount of stored data while storing information. The grant will allow the TSU physicist to undergo a six-month internship at the European Organization for Nuclear Research (CERN).
ATLAS is one of the Large Hadron Collider particle detectors. This is one of the largest scientific facilities in the world, consisting of many interconnected systems and services. The ATLAS detector is served by approximately 3,000 scientists and engineers from 181 organizations, including TSU. During operation, ATLAS generates an unprecedentedly large data stream - tens of petabytes per year. These data are stored for subsequent analysis by physicists.
- The problem is that CERN data warehouses are already operating at the limit, and with the start of a new experiment in 2021, existing capacities will not be enough. In this regard, the task was set: to reduce the amount of stored data while saving information. In today's algorithm, a fairly large portion of the memory is spent on the storage system infrastructure. It is this part that needs to be “facilitated”. To do this, we need to develop a new algorithm for storing data, apply it to all the data that was collected for 2018, implement this algorithm in the ATLAS system, and adapt it to all the services that access the storage, -Yury Bordulev explained.
In early 2020, a TSU group completed a large project to test readout electronics as part of the modernization of the ATLAS muon detector.
- The ATLAS collaboration grant competition was a great opportunity for me and our group to join in solving new large-scale problems,- adds Yury Bordulev. - One of the results of the project should be the emergence in Tomsk of a team responsible for the development of ATLAS data storage system.