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Particle identification is an important feature of the future SPD (Spin Physics Detector) experiment at the NICA (Nuclotron-based Ion Collider fAcility) collider. In particular, the identification of particles with momenta up to a few GeV/c (with c the speed of light) by their time-of-flight facilitates the reconstruction of events of interest. The high time resolution of modern TOF (Time-Of-Flight) detectors demands the need to obtain the event collision time, t0, with comparable accuracy. While the determination of the collision time is feasible through the use of TOF signals supplemented by track reconstruction, it proves to be computationally expensive. In the presented study, a dedicated Genetic Algorithm is developed as a fast and accurate method to determine the proton–proton collision time by the measurements of the TOF detector at the SPD experiment. By using this reliable method for the t0 determination we compare different approaches for the particle identification procedure based on TOF signals.

The NICA (Nuclotron-based Ion Collider fAcility) project at the Joint Institute for Nuclear Research (JINR, Dubna, Russia) is aimed at the construction of a new accelerator complex for heavy ions and polarized particles. Heavy-ion collisions at NICA are planned to be studied in the region of the highest net-baryon density, which favors the formation of bound nuclear systems with strangeness hypernuclei. The multipurpose detector (MPD) at NICA is designed to reconstruct interactions of relativistic nuclei in a high-multiplicity environment. In this paper, we report the feasibility study results for the reconstruction of Λ3H, Λ4H and Λ4He in Bi+Bi collisions at the nucleon-nucleon center-of-mass energy, sNN= 9.2 GeV.

Particle identification is an important feature of the future SPD (Spin Physics Detector) experiment at the NICA (Nuclotron-based Ion Collider fAcility) collider. In particular, the identification of particles with momenta up to a few GeV / c (with c the speed of light) by their time-of-flight facilitates the reconstruction of events of interest. The high time resolution of modern TOF (Time-Of-Flight) detectors demands the need to obtain the event collision time, t 0 , with comparable accuracy. While the determination of the collision time is feasible through the use of TOF signals supplemented by track reconstruction, it proves to be computationally expensive. In the presented study, a dedicated Genetic Algorithm is developed as a fast and accurate method to determine the proton–proton collision time by the measurements of the TOF detector at the SPD experiment. By using this reliable method for the t 0 determination we compare different approaches for the particle identification procedure based on TOF signals. [ABSTRACT FROM AUTHOR]

The NICA (Nuclotron-based Ion Collider fAcility) project at the Joint Institute for Nuclear Research (JINR, Dubna, Russia) is aimed at the construction of a new accelerator complex for heavy ions and polarized particles. Heavy-ion collisions at NICA are planned to be studied in the region of the highest net-baryon density, which favors the formation of bound nuclear systems with strangeness hypernuclei. The multipurpose detector (MPD) at NICA is designed to reconstruct interactions of relativistic nuclei in a high-multiplicity environment. In this paper, we report the feasibility study results for the reconstruction of Λ 3 H, Λ 4 H and Λ 4 He in Bi+Bi collisions at the nucleon-nucleon center-of-mass energy, s N N = 9.2 GeV. [ABSTRACT FROM AUTHOR]

Superconducting accelerator complex NICA is now in a developing stage at the Joint Institute for Nuclear Research 1 1 Russian Federation, Moscow region, Dubna (JINR). The development of the NICA computing complex is carried out at the JINR's Laboratory of Information Technologies (LIT) with the aim to process, analyze, store experimental data and simulate its sophisticated design and evolution. NICA includes the BM@N experiment first run of which is planned to be performed in 2017. Therefore, it is necessary to develop a computing system for distributed data storing and processing for the experiment. The simulation program SyMSim is used to choose a proper architecture of the BM@N computing system infrastructure. SyMSim facilitates making a decision regarding a required equipment. The paper presents the results obtained by simulating a process of receiving and processing data from the BM@N experiment involving a model of the computing complex. [ABSTRACT FROM AUTHOR]

The science projects growth, changing of the efficiency criteria during the project implementation require not only increasing of the management specialization level but also pose the problem of selecting the effective planning methods, monitoring of deadlines and interaction of participants involved in research projects. This paper is devoted to choosing the project management information system for the new heavy-ion collider NICA (Nuclotron based Ion Collider fAcility). We formulate the requirements for the project management information system with taking into account the specifics of the Joint Institute for Nuclear Research (JINR, Dubna, Russia) as an international intergovernmental research organization, which is developed on the basis of a flexible and effective information system for the NICA project management. [ABSTRACT FROM AUTHOR]