Physics of Particles and Nuclei Letters最新文献

Fast neutron detection requires application of the detector material that is rich in hydrogen with a sufficient level of detection efficiency and the capability to discriminate neutron signals in the presence of undesirable gamma-ray background. In this work, we evaluated the performance of neutron modules with the measurement of gamma-sources. In particular, the light yield of the detectors was calibrated with a set of standard ²²Na, ¹³⁷Cs and ²⁴¹Am sources by the use of Compton Edge technique. In the meanwhile, the time resolution was estimated by measuring gamma-gamma coincidences with ⁶⁰Co source.

The article presents a method for measuring coherent transition radiation at one of the basic FLNR JINR installations, the MT-25 microtron, with ultra-high spectral resolution. The presented technique makes it possible to estimate the electron bunch length from measured spectra, demonstrating an effective tool for longitudinal diagnostics of charged particle beams with bunch length from a few tens of femtoseconds to a few tens of picoseconds have been demonstrated.

The study of strangeness production in nucleus-nucleus collisions is one of the main challenges of the BM@N experiment physics program at the NICA complex. In this paper, we present some results of strange particle reconstruction produced in the collisions between a beam of Xe atoms with kinetic energy of 3.8A GeV and a CsI target.

Nuclear power plants are actively used to study the properties of neutrinos due to the intense ({{overline nu }_{e}}) flux, which makes possible to accumulate significant statistics. In short baseline experiments, where the distance between the reactor and the detector is less than 100 meters, it is important to take into account the smearing of the oscillation base to avoid overestimating of sensitivity to fast neutrino oscillations. This work presents the results of accounting for this smearing for a 15 m oscillation baseline and compares them with a point-like model.

In the course of developing a software ecosystem of the BM@N experiment, a multitude of systems and services has been implemented, including data processing and information systems. An integral component of the maintenance procedure is monitoring the operation of the systems of the BM@N software infrastructure and requests to them, which are logged to the corresponding files. The paper presents the implementation of a contemporary solution for the log management of the BM@N software complex. The log management solution has been implemented based on a high-performance and cost-effective technology stack of ClickHouse and Datadog Vector. The employment of the Metabase business intelligence platform and Grafana real-time monitoring tool further facilitates the analysis of the collected logs. As a result, the integration of these solutions enhances the resilience of the BM@N software infrastructure and facilitates security auditing.

A method is proposed to obtain constraints on the Z ' boson characteristics based on the analysis of indirect effects. The potential of the ILC and CLIC colliders to enhance current constraints on the Z ' boson mass for various models is assessed.

The total detection efficiency (TDF) of HPGe detectors, calculated using two different codes, MCNP and EFFTRAN, are presented. A comparison with experimentally measured values shows that the two codes produce quite similar results for point sources but very different for disc-shaped ones. Using the TDF calculated with these codes to determine the correction for true coincidence summing (TCS), similar results are obtained. This means that this correction is not highly dependent on the TDF, and it is possible to use EFFTRAN to shorten the calculation time.

In the operation of the Multifunctional Information and Computing Complex (MICC) of the Meshcheryakov Laboratory of Information Technologies (MLIT) at the Joint Institute for Nuclear Research (JINR), a large volume of server equipment is utilized, which provides computational resources to many scientific groups and experiments. Some components of this equipment (primary hard drives, as well as CPUs and memory modules) are subject to wear and must be replaced in a timely manner to ensure the uninterrupted operation of the computing complex. For the replacement of failing equipment, MICC maintains a spare parts warehouse that requires replenishment. This paper presents a system and tools for collecting, storing, and processing information about hard disk drives for future predictions of HDD failures and improving spare parts inventory planning. As an example, a statistical method based on Weibull distribution was used on a collected data to provide basic estimations of HDD failures depending on their working time. The developed solution is built on freely distributed components and can be used in similar infrastructures. Integration into the inventory system of the JINR Cloud infrastructure is also planned.

Currently, it is of interest to study the magnetic properties of HTSC at the mesoscopic level. One of the best methods of numerical modeling in such cases is the Monte Carlo method. In our work, an attempt is made to apply this algorithm to some unconventional superconductors. The survey with 2 different vortex-vortex interaction potentials was carried out. The first one can represent intertype HTSC, and the second one corresponds to ferromagnetic superconductors. Magnetic field distribution and magnetization curves were modeled. Moreover, the study of behavior of vortex clusters with various configurations of defects was conducted. As for ferromagnetic superconductors, the dependence of the field distribution on magnetic susceptibility has been investigated.

Nowadays, the successful implementation of a significant part of scientific projects involves the use of a distributed information and computing environment (DICE) for storing, processing and analyzing data. The DICE initiative of the Joint Institute for Nuclear Research (JINR) is dedicated to the creation, support and development of such an environment by combining the resources of educational and research organizations of the JINR Member States. One of such organizations is the Institute of Nuclear Physics (INP) in Almaty (Kazakhstan). Based on INP resources, a cloud infrastructure was installed, the necessary services were deployed; the INP cloud was integrated into the JINR DICE. A group of pioneer scientists started to use INP cloud resources to conduct research in their areas. The work is presently focused on user support.