Physics of Particles and Nuclei最新文献

This work is devoted to the validation of the results obtained using the Monte Carlo generator ReneSANCe. A comparison of differential cross sections as well as single- and double-spin asymmetries is presented taking into account the polarization of the initial states.

A model approach is proposed for analyzing the properties of hippocampal neural networks containing modified glutamate receptors. Molecular dynamics modeling of the NMDA receptor-lipid system containing oxidized amino acid residues and damaged lipid molecules caused by free radicals was carried out. The network activity of neurons with a modified receptor structure was studied in the neural network model of the hippocampus’ CA3 region. As a result of studying the hippocampal neural network properties with a glutamate receptors modified structure, electrophysiological characteristics of the neural network model were obtained depending on the receptor ion channel structure. Based on the analysis of the ion channel conductivity and the nature of Mg(^{{2 + }}) ion binding in the channel, differences in the amplitude of the theta and gamma frequency ranges were revealed in neural networks with NMDA receptors various model structures. In the course of the present study, the values of the hippocampal neural network collective rhythms (theta and gamma) were determined during the system oxidative modification and changes in the model neural population local potential were revealed depending on the localization and damage type in the receptor structures and phospholipid membrane.

NICA/MPD megascience project is the only world-class relativistic nuclear physics experiment in Russia, scheduled to start in 2025. MPDRoot is an offline software framework designed for simulation, reconstruction, and physical analysis of data obtained from the MPD experiment, projected to be on the 100 PB scale. At the core of MPDRoot’s computational engine is the particle tracking in the TPC chamber of the MPD detector, having the principal influence on the quality and speed of data analysis. In this paper, we present first benchmarks of the MPD implementation of A common tracking software (ACTS) algorithmic suite against the default MPDRoot’s reconstruction algorithms. We show, that the implementations of the ACTS combinatorial Kalman filter tracking and adaptive multi vertex finder algorithms have comparable performance already in current alpha version, unoptimized for the specifics of the MPD detector. It is expected, that the future developments of ACTS suite implementation for the MPD detector will outperform and replace current TPC reconstruction algorithms.

From December 2022 to February 2023, the first physics run of the fixed target experiment, BM@N, of the NICA accelerator complex was successfully conducted, in which about 600 million events of xenon ion collisions with a cesium-iodine target were collected, occupying about 400 TB of disk space. To perform multiple processing and necessary physics analyses of such a large volume of data, a comprehensive architecture of software solutions for distributed data processing and storage is required. The paper presents a development methodology and architecture of the software complex for organizing distributed processing of BM@N data and unified storage and management of information required for processing at all stages. The architecture implemented in accordance with the methodology includes both software systems that solve the problem of combining all the distributed resources of the experiment into a single computing complex with a single storage space to provide the automation of task processing flows, and original information systems that provide collection, storage and access to information being necessary for processing and analyses of the obtained data. In addition, a set of auxiliary solutions, such as a software distribution system, single authentication and authorization system, and monitoring system, improves the efficiency and reliability of the developed architecture.

We discuss a quantum-quasiclassical method for few-body quantum systems using the example of describing a hydrogen atom in a strong laser field, taking into account non-dipole corrections in the interaction which leads to nonseparability of the center-of-mass (CM) and the electron variables. The focus is on computational aspects of this approach and recent results obtained with its help are also discussed.

The purposes of the offline experiment framework is to simulate, reconstruct and analyse the data coming from real experiment. This paper describes the MPDRoot software framework. A general description of the MPD offline framework (MPDRoot) is given with a short historical background followed by a description of the simulation, reconstruction and analysis architecture of the MPDRoot offline project. We briefly discuss the problems with data storage and distributed computing for the MPD experiment.

The paper presents an approach to solving the problem of recognizing brain cells in photographic images of histological samples. The following stages are described: data labeling for dataset preparation, semantic segmentation, classification of the desired objects. The task of cell recognition is formulated as a task of segmenting objects in an image with their subsequent classification. Machine learning methods are applied. The results of the work demonstrate the applicability of machine learning methods to the task of recognizing brain cells in histological images.

The Resources Manager (RM) is one of the services provided by the Data Acquisition (DAQ) system of the ATLAS experiment the Large Hadron Collider (LHC). The ATLAS experiment contains many hardware and software resources which usage must be controlled to avoid conflicts during online operations. The purpose of the RM is to marshal multiple accesses to such resources. When new software process needs to be started or obtain exclusive permissions, the RM is queried to verify availability of the resources as they are described in the DAQ configurations database. This article talks about the evolution of the RM based on the operations experience and changes in the underlying DAQ system software towards improving of security, fault tolerance, error reporting, logging and test facilities.

We investigate the thermodynamic properties of the hot (beta )-equilibrated hadronic matter which consists of neutrons, protons, electrons, electron neutrinos, muons, and muon neutrinos. To describe such matter, we use an improved version of the relativistic mean field (RMF) theory at a finite temperature, where, in addition to the effective fields of (sigma )-, (omega )-, and (rho )-mesons, the isovector, Lorentz-scalar (delta )-meson effective field is also taken into account. The numerical solution of systems of ten nonlinear algebraic equations allows us to obtain the meson mean-fields (bar {sigma }), (bar {omega }), (overline delta ) and (bar {rho }), as well as the chemical potentials of the particles ({{mu }_{n}}), ({{mu }_{p}}), ({{mu }_{e}}), ({{mu }_{mu }}), ({{mu }_{{{{nu }_{e}}}}}), and ({{mu }_{{{{nu }_{mu }}}}}). This made it possible, for given values of temperature (T) and baryon number density ({{n}_{{text{B}}}}), to calculate the energy density (epsilon ), pressure (P), and entropy density (S) of hadronic matter in the neutrino trapped regime.

We describe the current status of the implementation of γγ processes within the SANC system. We show an analytical basis for some processes at the one-loop calculation for the precise predictions of the kinematic distributions.