Physics of Particles and Nuclei Letters最新文献

This study presents a novel approach for production of a perspective radionuclide ²²³Ra, utilizing aluminium oxide(III) as a material with exceptional sorption properties. The method involves the optimized preparation of aluminium oxide(III) to maximize its sorption capacity for ²²³Ra, followed by a series of controlled reactions to ensure the stability and availability of the final product. Preliminary results indicate significant improvements in the yield and purity of ²²³Ra, making this method a promising alternative for producing high-quality product for medical applications.

The integration and application of the CAEN front-end readout system within the miniSPD facility is presented, with a focus on calorimeter modules. The miniSPD is designed for cosmic muon testing of the detectors planned for use in the SPD facility, including straw, silicon, and Micromegas trackers, along with electromagnetic calorimeters. The main objectives include verifying the functionality and performance of modern electronics, testing the CAEN system’s suitability for miniSPD, and obtaining real cosmic ray data. By using prototype detectors and measuring key detector parameters such as spatial and temporal resolution, efficiency, and stability, this work aims to assess the system’s long-term operation reliability. The system was tested to produce key spectra, including the staircase spectrum, Landau distribution, and cosmic ray data, with additional upcoming results focused on SPD calorimeters. The results of using these electronics for straw-tracker prototypes are also presented, where the spectra of Fe-55 and Ru-106 are shown.

The results of experimental and theoretical modeling of spatial and temporal distribution of magnetic field induction inside a vector-inversion generator of cylindrical configuration with meander-shaped profiled buses (Fig. 1) are presented. The influence of a ferrite magnetic core on the output characteristics of generators is analyzed. The obtained results allow one to estimate a part of the energy localized in the magnetic field and are also necessary for technical modeling of vector-inversion generators.

Spin Physics Detector is an universal detector in the second interaction point of the NICA collider to study the spin structure of the proton and deuteron and other spin-related phenomena. This detector will become a generator of a huge amount of experimental data. Special systems are used to manage such amounts of data, one of which is Rucio, which is being developed at CERN to support the requirements of the ATLAS experiment and now in the evaluation stage in the SPD experiment. The simulated data appears long before the launch of the physical experiment, so research in this area has already started. This article describes the current status of using the data management system Rucio for the SPD experiment and the first experience of managing collaboration data.

The Jiangmen Underground Neutrino Observatory (JUNO) is a 20 kt liquid scintillator detector that is under construction in southern China. One of the main goals of the experiment is to determine the neutrino mass ordering. For this measurement, JUNO will use electron antineutrinos from eight nuclear reactors located at an optimized baseline of 52.5 km. To resolve fast oscillatory pattern in the spectrum and determine the neutrino mass ordering, JUNO will need energy resolution (sigma ) of 3% at 1 MeV and energy scale uncertainty lower than 1%. This paper covers recent results of JUNO’s sensitivity analysis for neutrino mass ordering.

This work is devoted to the search for (phi )(1020) after collisions in the Baryonic Matter at Nuclotron (BM@N) experiment, implemented at the Joint Institute for Nuclear Research (JINR, Dubna). To analyze the effectiveness of the reconstruction algorithms, Monte Carlo simulations of the collision of a 3.9 AGeV Xe beam with a CsI target were used. After reconstruction of the events and selection of candidate pairs, distribution of the invariant mass was obtained and a peak corresponding to (phi )(1020) was identified. The dependence of the reconstruction efficiency of the strange particle on rapidity and transverse momentum was derived.

This study explores the potential of using artificial neural networks to identify the rare process (pp to tHbq) at the Large Hadron Collider, aiming to improve the separation of the signal and background. A neural network-based mathematical tool was developed to improve signal cleaning. This approach was validated using Monte Carlo simulation of signal and background events. We find that neural networks suggest a promising technique for increasing the significance of the signal, facilitating the detection of the process (pp to tHbq)

The BM@N experiment, as part of the NICA complex, produces a substantial quantity of physics data, necessitating the implementation of a sophisticated infrastructure for the software systems providing efficient storage, processing, and management of the data. In order to address these challenges, a comprehensive set of information systems has been developed. The complex includes an information system representing the Unified Condition Database (UniConDa) that stores and provides necessary parameters of experiment systems; the Geometry Database for operating with information on geometric models of detectors; the COnfiguration Online Platform (COOP) for managing hardware settings and a sequence of software tasks to be used in online; the Event Metadata System (EMS) for indexing and searching physics events for a particular analysis; and the Electronic Logbook (e-Log platform) to record and share information on experiment runs during the sessions. In addition, the BM@N uses various collaboration services, which have been already deployed, such as the official website, collaboration forum, document server (Wiki). Security policy is ensured through the Keycloak, authentication and authorization system, which centralizes access control to BM@N software systems. The paper covers the description of the deployed infrastructure on a cluster platform managed by the Proxmox system, which oversees virtualization and containerization of the components. The integrated single reverse proxy ensures centralized secure access to all the software systems of the experiment. As a result, the developed infrastructure with the information systems and software services ensures the management of information being necessary for physics analysis of experiment data within the BM@N experiment.

We discuss specific aspects of the improved Newman-Janis algorithm and its application to generate rotating black hole metrics in the extended theories of gravity. We consider here different theories extending general relativity in various ways: loop quantum gravity and (f(Q)) gravity (symmetric teleparallel gravity STEGR).

Efficient extraction of named entities is essential for data analysis, especially given the increasing volume of textual information. This study examines and compares methods for extracting named entities within text-processing algorithm for excursion data, offering statistical insights into events described in natural language texts, which include brief information about the excursion name and its target audience. The practical results highlight the applicability of these methods in supporting and enhancing JINR’s internal services, particularly the JINRex system for excursion planning and management.