Труды сотрудников ИВМ СО РАН

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Найдено документов в текущей БД: 4

    Construction of confidence boundaries for the decision function in a two-alternative problem of pattern recognition
/ A. V. Lapko, V. A. Lapko // Optoelectron. Instrum. Data Proces. - 2015. - Vol. 51, Is. 4. - P372-377, DOI 10.3103/S875669901504007X . - ISSN 8756-6990
Аннотация: A nonparametric estimate of the decision function in a two-alternative problem of pattern recognition is considered. The principle of expansion of the learning sample and the analysis of the probabilistic characteristics of the obtained sets of random variables are used to synthesize this estimate. On this basis, a technique of construction of confidence boundaries for the Bayesian equation of the separating surface is derived. The efficiency of this technique is proved by results of computational experiments. © 2015, Allerton Press, Inc.

Scopus

Держатели документа:
Institute of Computational Modeling, Siberian Branch, Russian Academy of Sciences, Akademgorodok 50, building 44, Krasnoyarsk, Russian Federation
Reshetnev Siberian State Aerospace University, pr. im. Gazety “Krasnoyarskii rabochii” 31, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Lapko, V. A.; Лапко, Василий Александрович; Лапко, Александр Васильевич
519.7
П 63

    Построение доверительных границ для решающей функции в двуальтернативной задаче распознавания образов
[Текст] : статья / А. В. Лапко, В. А. Лапко // Автометрия. - 2015. - Т. 51, № 4. - С. 62-67 . - ISSN 0320-7102
   Перевод заглавия: CONSTRUCTION OF CONFIDENCE BOUNDARIES FOR THE DECISION FUNCTION IN A TWO-ALTERNATIVE PROBLEM OF PATTERN RECOGNITION
УДК

Аннотация: Рассматривается непараметрическая оценка решающей функции в двуальтернативной задаче распознавания образов. При её синтезе используются принцип декомпозиции обучающей выборки и анализ вероятностных характеристик получаемых множеств случайных величин. На этой основе разработана методика построения доверительных границ для байесовского уравнения разделяющей поверхности. Эффективность методики подтверждается результатами вычислительных экспериментов.
A nonparametric estimate of the decision function in a two-alternative problem of pattern recognition is considered. The principle of expansion of the learning sample and the analysis of the probabilistic characteristics of the obtained sets of random variables are used to synthesize this estimate. On this basis, a technique of construction of confidence boundaries for the Bayesian equation of the separating surface is derived. The efficiency of this technique is proved by results of computational experiments.

РИНЦ

Держатели документа:
Институт вычислительного моделирования СО РАН
Сибирский государственный аэрокосмический университет им. академика М. Ф. Решетнёва

Доп.точки доступа:
Лапко, Василий Александрович; Lapko V.A.; Lapko A.V.

    Aerosol Constraints on the Atmosphere of the Hot Saturn-mass Planet WASP-49b
/ P. E. Cubillos [et al.] // Astrophys. J. - 2017. - Vol. 849, Is. 2, DOI 10.3847/1538-4357/aa9019 . - ISSN 0004-637X
Аннотация: The strong, nearly wavelength-independent absorption cross section of aerosols produces featureless exoplanet transmission spectra, limiting our ability to characterize their atmospheres. Here, we show that even in the presence of featureless spectra, we can still characterize certain atmospheric properties. Specifically, we constrain the upper and lower pressure boundaries of aerosol layers, and present plausible composition candidates. We study the case of the bloated Saturn-mass planet WASP-49 b, where near-infrared observations reveal a flat transmission spectrum between 0.7 and 1.0 ?m. First, we use a hydrodynamic upper-atmosphere code to estimate the pressure reached by the ionizing stellar high-energy photons at 10-8 bar, setting the upper pressure boundary where aerosols could exist. Then, we combine HELIOS and Pyrat Bay radiative-transfer models to constrain the temperature and photospheric pressure of atmospheric aerosols, in a Bayesian framework. For WASP-49 b, we constrain the transmission photosphere (hence, the aerosol deck boundaries) to pressures above 10-5 bar (100?solar metallicity), 10-4 bar (solar), and 10-3 bar (0.1?solar) as the lower boundary, and below 10-7 bar as the upper boundary. Lastly, we compare condensation curves of aerosol compounds with the planet's pressure-temperature profile to identify plausible condensates responsible for the absorption. Under these circumstances, we find these candidates: Na2S (at 100? solar metallicity); Cr and MnS (at solar and 0.1?solar); and forsterite, enstatite, and alabandite (at 0.1?solar). © 2017. The American Astronomical Society. All rights reserved.

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Держатели документа:
Space Research Institute, Austrian Academy of Sciences, Schmiedlstrasse 6, Graz, Austria
Federal Research Center Krasnoyarsk Science Center SB RAS, Institute of Computational Modelling, Krasnoyarsk, Russian Federation
Center for Space and Habitability, University of Bern, Sidlerstrasse 5, Bern, Switzerland
Institut fur Geophysik und Meteorologie, Universitat zu Koln, Albertus-Magnus-Platz, Koln, Germany
Max Planck Institute for Astronomy, Konigstuhl 17, Heidelberg, Germany
Department of Astrophysics, University of Vienna, Turkenschanzstrasse 17, Vienna, Austria
Geneva Observatory, University of Geneva, ch. de Maillettes 51, Versoix, Switzerland

Доп.точки доступа:
Cubillos, P. E.; Fossati, L.; Erkaev, N. V.; Malik, M.; Tokano, T.; Lendl, M.; Johnstone, C. P.; Lammer, H.; Wyttenbach, A.

    Close-in Sub-Neptunes Reveal the Past Rotation History of Their Host Stars: Atmospheric Evolution of Planets in the HD 3167 and K2-32 Planetary Systems
/ D. Kubyshkina [et al.] // Astrophys. J. - 2019. - Vol. 879, Is. 1. - Ст. 26, DOI 10.3847/1538-4357/ab1e42. - Cited References:44. - We acknowledge the FFG project P853993, the FWF/NFN projects S11607-N16 and S11604-N16, and the FWF projects P27256-N27 and P30949-N36. N.V.E. acknowledges support from the Russian Science Foundation grant No. 18-12-00080. We thank the anonymous referee for insightful comments. . - ISSN 0004-637X. - ISSN 1538-4357
РУБ Astronomy & Astrophysics

Аннотация: Planet atmospheric escape induced by high-energy stellar irradiation is a key phenomenon shaping the structure and evolution of planetary atmospheres. Therefore, the present-day properties of a planetary atmosphere are intimately connected with the amount of stellar flux received by a planet during its lifetime, thus with the evolutionary path of its host star. Using a recently developed analytic approximation based on hydrodynamic simulations for atmospheric escape rates, we track within a Bayesian framework the evolution of a planet as a function of stellar flux evolution history, constrained by the measured planetary radius. We find that the ideal objects for this type of study are close-in sub-Neptune-like planets, as they are highly affected by atmospheric escape, and yet retain a significant fraction of their primordial hydrogen-dominated atmospheres. Furthermore, we apply this analysis to the HD 3167 and K2-32 planetary systems. For HD 3167, we find that the most probable irradiation level at 150 Myr was between 40 and 130 times solar, corresponding to a rotation period of 1.78(-1.23)(+2.69) days. For K2-32, we find a surprisingly low irradiation level ranging between half and four times solar at 150 Myr. Finally, we show that for multi-planet systems, our framework enables one to constrain poorly known properties of individual planets.

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Держатели документа:
Austrian Acad Sci, Space Res Inst, Schmiedlstr 6, A-8042 Graz, Austria.
Russian Acad Sci, Siberian Branch, Inst Computat Modeling, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Krasnoyarsk 660041, Russia.
Univ Vienna, Inst Astron, Turkenschanzstr 17, A-1180 Vienna, Austria.
Karl Franzens Univ Graz, IGAM Inst Phys, Univ Pl 5, A-8010 Graz, Austria.

Доп.точки доступа:
Kubyshkina, D.; Cubillos, P. E.; Fossati, L.; Erkaev, N. V.; Johnstone, C. P.; Kislyakova, K. G.; Lammer, H.; Lendl, M.; Odert, P.; Gudel, M.; Fossati, Luca; FFG project [P853993]; FWF/NFN projects [S11607-N16, S11604-N16]; FWF projects [P27256-N27, P30949-N36]; Russian Science Foundation [18-12-00080]