Развитие центров обработки научных данных (Радиоастрономическая аппаратура)
High-energy physics experiments rely on reconstruction of the trajectories of particles produced at the interaction point. This is a challenging task, especially in the high track multiplicity environment generated by p-p collisions at the LHC energies. A typical event includes hundreds of signal examples (interesting decays) and a significant amount of noise (uninteresting examples). This work describes a modification of the Artificial Retina algorithm for fast track finding: numerical optimization methods were adopted for fast local track search. This approach allows for considerable reduction of the total computational time per event. Test results on simplified simulated model of LHCb VELO (VErtex LOcator) detector are presented. Also this approach is well-suited for implementation of paralleled computations as GPGPU which look very attractive in the context of upcoming detector upgrades.
This book constitutes the refereed proceedings of the First International Conference on Data Compression, Communications and Processing held in Palinuro, Italy, in June 2011.
The question of the organization of data storage in memory of system of the self-contained units equipped with sensors and collecting information on a state of environment is considered. The method of the organization of data recording in memory which will provide rational use of memory in the conditions of restrictions on resources is offered.