We consider a model of the superconducting quantum interference device (SQUID) with a single $\phi_0$ junction based on the Landau-Lifshitz-Gilbert equations for the magnetization of the ferromagnetic layer and resistively shunted junction model for phase difference of $\phi_0$ Josephson junction. Within this model, a phenomenon of magnetization reversal is studied in a wide range of...
A project of the OLVE-HERO space detector for measurement of the cosmic rays in the range 1012–1016 eV is proposed. It will include a large ionization-neutron 3D calorimeter with a high granularity and geometric factor of ∼16 m2 sr. The main OLVE-HERO detector is expected to be an image calorimeter with boron loaded plastic scintillator and a tungsten absorber. Such a calorimeter can measure...
Calculating multidimensional integrals with a singularity of type 1/(x-c) is not a simple task. The methods used to calculate such an integral must effectively bypass the singularity, minimizing the error. This work presents an algorithm that, in the process of calculating the integral, analyzes the area of integration, dividing it into subsegments. Subsegments containing a singularity, as...
The formation of weakly bound clusters and hypernuclei in the hot and dense environment at midrapidity is one of the surprising phenomena observed experimentally in heavy-ion collisions from low SIS to ultra-relativistic LHC energies. This is also known as the `ice in a fire' puzzle. Three approaches have been advanced to describe the formation of clusters: cluster formation during the entire...
Computed tomography using X-rays, neutrons, and electromagnetic fields is becoming more popular in fields like medicine, materials science, geology, and archeology. Modern materials science holds a special place for neutron tomography [1]. This method has advantages like deep penetration, sensitivity to light elements, and clear contrast for elements with similar atomic numbers because of how...
The work is devoted to the creation of computational tools for designing a UCN source for a pulsed reactor. Its result is two software products that can be used in the course of further work. One of them is designed to calculate the transport properties of UCN neutron guides based on given geometric dimensions, material, and surface roughness parameters. The second program is designed to...
The NTsim is a framework, which aims is to simulate data for neutrino experiments, such as IceCube, KM3NET/Arca, Baikal-GVD, P-ONE and others planned in future, with the initial focus on the Baikal-GVD telescope. The main goal of the project is to reach the desired time of simulation, not compromising the accuracy of simulation. To achieve this, different methods are used in the framework. The...
The solar wind is a key link in the Sun-Earth system, but neither the physics of its formation nor the physics of its evolution are yet completely clear. This fact was the main reason for the launch in 2018 of a special satellite mission, Parker Solar Probe (PSP), largely focused on the issue of solar wind research. Over the first five years of operation, this mission provided specialists with...
The magnetic field in the inner heliosphere, including both regular and irregular components, was modelled. The regular component is described by Parker’s model, which assumes that the magnetic field is frozen inside the solar wind plasma. To include the irregular component of the field, a Gaussian random field was generated on the field source surface, and later transported into the inner...
The dynamics of S-stars in the Galactic centre was studied using the physics-informed neural networks. The neural networks are considered for both, Keplerian and the General Relativity dynamics, the orbital parameters for stars S1, S2, S9, S13, S31, and S54 are obtained, and the regression problem is solved. It is shown that the neural network is able to detect the Schwarzschild precession for...
Nowadays the most widely used catalysts for organic synthesis mainly made of noble and rare earth metals that significantly increases the cost of many products. Moreover, 80% of catalyst used in domestic industry including oil and chemical production are imported and it can cause problems in the present political situation.
Suggested alternative to the pricey catalysts is the transition...
Efficiency assessment of IRT-T research reactor cooling system by machine learning methods
Tomsk Polytechnic University, Tomsk, Russian Federation.
Machine learning is one of the components of artificial intelligence, the purpose of which is to build analytical models by learning from historical data [1]. The concept of artificial intelligence and machine learning can be traced back to...
The formation of dust particles into chain structures in a flowing plasma environment is a well-known phenomenon which is inherent for the experimental conditions typical for RF or DC discharge plasma [1]. The structural and dynamical properties of the chains being formed are inextricably linked with the surrounding plasma media. Due to the high complexity of the interdependence between dust...
Actinide compounds are among the most challenging objects for ab initio electronic structure modeling due to strong relativistic effects, multi-configuration nature of electronic states, and high density of levels in their spectra.
We present recently developed tools for high-precision modeling of such systems: the EXP-T program package [1] implementing new variants of the relativistic...
The work is dedicated to development of a new MATLAB based tool for calculation of characteristics of MEMS devices, particularly Capacitive Micromachined Ultrasound Transducers (CMUT).
Main features of the created program is ability to calculate a frequency response of an array of circular cells and its radiation pattern in a transmitter mode, without use of finite or boundary elements. It...
Formation of drops on impurities (condensation cores) is omnipresent in nature and can play a desirable or undesirable role in technology. The transition from vapor state to liquid state starts with the formation of a metastable thin film covering the condensation core, after which the system has to overcome an energy barrier (a critical droplet state) to steadily transform into the liquid...
Modern pixel particle detectors allow possibility to determine coordinates of hit with high accuracy. Some of them, for example Medipix series detectors, provide possibilities to evaluate particle energy deposit. However, pixel detectors have a difficult problem of a dividing of the charge, appeared by interaction with hitting particle, into neighbor pixels.
To compensate this effect the...
A Monte-Carlo model of the beam position detector was developed for measurement of an low-intensity electron beam profile. The detector is an octagonal-shaped scintillator. The simulation of interaction of electrons with detector and photon transportation was done. Three reconstruction methods of interaction position were suggested.
The root mean square charge radius is one of the most interesting characteristics of the atomic nucleus. By studying changes in this parameter in a chain of isotopes of one element, one can make conclusions about how the structure of the nucleus changes when the number of neutrons changes, as well as how accurate nuclear theory describes the dependencies obtained in the experiment. In the case...
