Представлено описание конструкции болометра из алюминиевой фольги и схемы измерений энергии мягкого рентгеновского излучения (МРИ). Проведены измерения энергии МРИ до 1 кэВ на сильноточном импульсном генераторе С-300 с помощью болометра с временным разрешением 19 и 300 нс, зарегистрирована полная энергия в несколько килоджоулей с энергией кван-тов до 1 кэВ. Болометр на основе фольги Al 8 мкм выдержал многократные пуски при токе 1,6-1,8 МА без изменения его со-противления. На основе уравнения теплопроводности для «стержня» конечной длины проведены анализ временного разреше-ния болометра и оценки предельных тепловых нагрузок в зависимости от длительности импульса РИ.Ключевые слова: управляемый термоядерный синтез, сильноточный Х-пинч, измерение энергии мягкого рентгеновского излу-чения, фольговый болометр, уравнение теплопроводности, предельные тепловые нагрузки, схема измерений. PULSED BOLOMETER FOR SOFT X-RAY RADIATION MEASUREMENT IN HIGH CURRENT X-PINCH:FORMULATION OF LIMITED PARAMETERS AND EMBODIMENT. Yu.L. BAKSHAEV, S.A. DAN'KO, Е.Е. SOKOLOV, K.V. CHUKBAR. The description of bolometer design made of aluminum foil and the scheme of the soft x-ray radiation energy measurements is presented. The measurements of soft x-ray energy in the range up to 1 keV on high current pulse generator S-300 are performed by means of bolometer with time resolution of 19 and 300 ns. The total energy of a few kilojoules of quantum energy interval of up to 1 keV has been registered. The bolometer on the basis of 8 Al foil survived a series of repeated shots at currents 1.6-1.8 МА without change of its resistance. Theoretical analysis for the time resolution of bolometer and the estimation of limiting thermal loads depending on pulse duration of x-ray based on the equation of heat conductivity for the rod with finite length are resulted.Key words: сontroled nuclear fusion, hight current X-pinch, measurement of energy of soft x-ray radiation, foil bolometer, the heat conductivity equation, limiting thermal loadings, the scheme of measurements.
A new type of gold mineralization has been revealed in rocks of the basement of the Aldan-Stanovoi goldbearing province, within the Spokoininsky ore cluster of the Tyrkandinsky gold-bearing region of southern Yakutia. A geological model has been created of an object with a bulk-minable nonlinear type gold mineralization related to elements of plicative structures and to the reverse fault type tectonics in the hosting metamorphic rocks of the basement. The modeled object is represented by a combination of lodes with veinlet-disseminated sulfide-(pyrite)quartz mineralization. A complex has been refined of prospecting guides and criteria, that characterizes this mineralization type represented by the ore-bearing lodes with gold-quartz and gold-low-sulfide-quartz veinletdisseminated mineralization in rocks of the basement and Late Jurassic-Early Cretaceous magmatic formations. The structural-geological position, the morphological type, the composition of the ore-hosting rocks and ores, and the principal parametric characteristics of the gold mineralization have been determined. Sampled intervals with the gold grades corresponding to the required parameters for the preliminary estimation have been distinguished in the exploration workings. Forecasted resources of the P2 category have been assessed.
This paper describes a semantic approach to visualization of 3D cyberspace of Artificial Intelligence (AI) publications and their topic trends evolution using web-based 3D graphics. The purpose of research is to group AI publications with same subject into clusters for further visualization of topic trends dynamics. An unsupervised method and algorithm for visualizing the dynamics of topic trends by generating a time series of 2D and 3D semantic visual maps with predictive information is described. The method includes semantic similarity measure and citation prediction for documents, topic modeling and clustering, dimensionality reduction, virtual reality technology, representation of dynamics using time filters. As an example of particular implementation, the method is demonstrated on AI collection data using technologies of neural network prediction, LDA clustering, t-SNE dimensionality reduction, WebVR visualization. Cluster dynamics associated with scientific trends is analyzed. The growth in number of clusters and their consolidation during the period from 1954 to 1993 is demonstrated. It is shown that 3D visual map better preserves articles similarity and highdimensional clusters structure than 2D visual map. The proposed cyberspace implemented by WebVR and interactive 3D graphics can be considered as a dynamic learning environment that is convenient for discovering new significant articles, ideas and trends.
This paper is devoted to the development of a methodology for evaluating the semantic similarity of any texts in different languages is developed. The study is based on the hypothesis that the proximity of vector representations of terms in semantic space can be interpreted as a semantic similarity in the cross-lingual environment. Each text will be associated with a vector in a single multilingual semantic vector space. The measure of the semantic similarity of texts will be determined by the measure of the proximity of the corresponding vectors. We propose a quantitative indicator called Index of Semantic Textual Similarity (ISTS) that measures the degree of semantic similarity of multilingual texts on the basis of identified cross-lingual semantic implicit links. The setting of parameters is based on the correlation with the presence of a formal reference between documents. The measure of semantic similarity expresses the existence of two common terms, phrases or word combinations. Optimal parameters of the algorithm for identifying implicit links are selected on the thematic collection by maximizing the correlation of explicit and implicit connections. The developed algorithm can facilitate the search for close documents in the analysis of multilingual patent documentation.
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