For high-energy pp scattering described in the framework of a model taking the merger of quark–gluon strings and the formation of string clusters into account, we calculate the strongly intensive ...variable
characterizing correlations between the numbers of particles formed in two rapidity-separated observation intervals. We compare results of the calculations with experimental data of the ALICE collaboration at the Large Hadron Collider. We show that the experimentally observed increase in this variable with increasing initial energy can be explained only if the formation of string clusters consisting of the increasing number of merged strings is taken into account.
The properties of the strongly intensive variable characterizing correlations between the number of particles in two separated rapidity interval in pp interactions at LHC energies are studied in the ...framework of the string fusion model. We perform the MC simulations of string distributions in the impact parameter plane to take into account the experimental conditions of pp collisions. We account the string fusion processes, leading to the formation of string clusters, embedding a finite lattice (a grid) in the impact parameter plane. As a result, we found the dependence of this variable both on the distance between the centers of the observation windows and their acceptance for the minbias pp collisions at several initial energies. Analyzing these dependencies we can extract the important information on the properties of string clusters. We show that in pp collisions at LHC energies the string fusion effects have a significant impact on the behavior of this strongly intensive variable. The role of these effects is increasing with the initial energy and centrality of collisions. In particular, we found that the increase of this variable with initial energy takes place due to the growth of the portion of the fused string clusters in string configurations arising in pp interactions.
In the framework of the quark–gluon string fusion model on the transverse lattice, we study a strongly intensive variable characterizing correlations between the number of particles produced in ...hadronic interactions in two observation windows separated by a rapidity interval. We show that in the case of independent identical strings, this variable is indeed strongly intensive. It depends only on string characteristics and is independent of trivial so-called volume fluctuations in the string number resulting, in particular, from inevitable impact parameter fluctuations. With string fusion effects causing the production of string clusters with new properties taken into account, this variable turns out to be equal to the weighted average of its values for different string clusters. The weighting coefficients depend on the collision conditions, and the variable loses its strongly intensive character. In the framework of this model in a realistic case with a nonuniform string distribution in the transverse plane, we find explicit analytic formulas for the asymptotic coefficients of long-range correlations between different quantities including an intensive one, the average transverse momentum. We analyze the properties of the obtained correlation coefficients, the studied strongly intensive variable, and also the possibilities of its experimental observation.
The strongly intense quantities and robust variances in processes of multi-particle production in
pp
and
AA
interactions at LHC energies was studied. The Monte Carlo and analytic modelling of these ...quantities in the framework of a quark-gluon string model were implies. The string fusion effects were also taken into account by implementing of a lattice (grid) in the impact parameter plane. Strongly intensive variable
was calculated for different energies for two values of the width of the observation rapidity windows as a function of the distance between the centres of this windows. Scaled variance
and robust variance
for different energies and for different width of the observation rapidity window was calculated by MC simulations.
A review is presented of the latest technologies for vertex detectors that can be used in experiments at the NICA collider. These technologies include both the novel pixel detectors with new ...ultralight radiation-transparent carbon composite structures and cooling systems. The efficiency of reconstructing
D
meson decay is estimated for the developed detector complexes, and the possibility of using these complexes to study the formation of clusters of cold, dense quark-gluon matter inside nuclei are studied.
International e-learning resource in the field of food product quality and veterinary disease control based on Government requirements of the European Union and Eurasian Economic Union has been ...created and tested. This resource consists of the one general professional cycle and five professional modules, about 60% of them are in distance e-learning format. The modularity of the educational resource allows the employer or students to choose a training program format, as well as the amount of distance learning or classroom training hours for different groups of specialists in the field of food quality and veterinary control: chiefs of quality control center or laboratories, veterinarians, microbiologists, specialists of veterinary diagnostics laboratories, chemical engineers. The involvement of participants from EU and EEU-countries in the educational process is important for the development of interregional and international activities, the creation of the unified legal framework in the field of food security in many countries.
Within the model with quark–gluon strings (color flux tubes) as sources, the properties of the strongly intensive variable
, which characterizes correlations between the number of particles, which ...are detected in
pp
interactions at LHC energies in two observation windows separated in rapidity, are investigated. It is found that the behavior of this variable observed in the ALICE experiment can be explained only in the presence of different type sources, the role of which in the model is played by single strings and the clusters formed by the fusion of several strings. It is shown that a comparison of the model results with the preliminary experimental ALICE data obtained in
pp
collisions at energies of 0.9 and 7 TeV makes it possible to extract data on the parameters characterizing the clusters with different numbers of fused strings. The dependence of the observable
on a degree of the
pp
-collision centrality is also studied. In general, it is shown that in
pp
collisions at LHC energies, the increase in this variable with the initial energy and centrality of collisions in
pp
interactions is explained by the increasing contribution from the formation of string clusters consisting of a growing number of fused strings.
One of the ways to enrich food with essential micronutrients is to use cereals and legumes. The inclusion of wheat germ in the daily diet is the basis of “correct” and “healthy” nutrition systems. ...One of the most promising ways to create food products with desired properties is the use of a computational method for optimizing the amino acid rate of finished foods. By correctly selecting the component and nutrient composition, it is possible to produce food products for functional, specialized and therapeutic and prophylactic nutrition. Only by using of modern software you can quickly select and adjust the diet for various population groups, taking into account national and regional characteristics. The digitalization of world markets provides prerequisites for the creation of many newest software products that help technologists in the development of recipes for functional and preventive food products, raising food production to a new quality level.
By the model with the fusion of quark-gluon strings on a transverse lattice the correlations between observables from separated rapidity intervals in high-energy hadronic interactions are considered. ...The asymptotes of the long-range rapidity correlation coefficients between the multiplicities (
n
–
n
) and between the event-mean transverse momentum and the multiplicity of charged particles (
pt
–
n
) in these observation windows at large string density were explicitly calculated with the additional condition fixing the total number of initial strings. It is shown that this condition, which imitates in our model the fixation of the collision centrality class, has a significant impact on the behavior of the
n
–
n
and
pt
–
n
correlation coefficients for both homogeneous and inhomogeneous distribution of strings in the transverse plane.
Among different segments of the population of the Russian Federation, flour confectionery from biscuit dough is one of the most popular. In order to give them functional properties to increase the ...biological value, we used pumpkin in this work. Such an additive enriches the finished product with pectins, carotenoids and minerals. The introduction of pumpkin puree also has a positive effect on organoleptic characteristics, but increases the humidity of the finished product. Introduction to the recipe for biscuit pumpkin puree helps to increase the value of the indicator "water activity". Researching the microbiological quality indicators in the products developed showed that between Aw and microbiological quality indicators such as QMAFAnM and the content of yeast and molds, a straightforward relationship is observed: an increase in the proportion of water in the finished biscuit cake mix leads to increasing in a total number of microorganisms and also increasing the microorganisms of spoilage. In the sample with 20% replacement of wheat flour with pumpkin puree, the value of Aw approaches the value characteristic of products with high humidity (0.9). Therefore, enriched biscuit semi-finished products have a shorter shelf life, it is advisable to produce them at public catering facilities.
PDF
