Отрывок: To determine a confidence in- terval of the temperature T1D we use a standard technique for non-linear regression described in [17]. For this, we plot S as a function of temperature around point T1D. A confidence interval is defined by taking S(T) = constant, where the constant is determined by S(T) = S(T0)[1+p/(n– p)×F(n, p, α)], where p is the number of parameters, n is the num...
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dc.contributor.authorBulatov, K.M.-
dc.contributor.authorMantrova, Y.V.-
dc.contributor.authorBykov, A.A.-
dc.contributor.authorGaponov, M.I.-
dc.contributor.authorZinin, P.V.-
dc.contributor.authorMachikhin, A.S.-
dc.contributor.authorTroyan, I.A.-
dc.contributor.authorBatshev, V.I.-
dc.contributor.authorKutuza, I.B.-
dc.date.accessioned2018-01-30 13:53:51-
dc.date.available2018-01-30 13:53:51-
dc.date.issued2017-12-
dc.identifierDspace\SGAU\20180111\66817ru
dc.identifier.citationBulatov KM, Mantrova YV, Bykov AA, Gaponov MI, Zinin PV, Machikhin AS, Troyan IA, Batshev VI, Kutuza IB. Multi-spectral image processing for the measurement of a spatial temperature distribution on the surface of a laser-heated microscopic object. Computer Optics 2017; 41(6): 864-868.ru
dc.identifier.urihttps://dx.doi.org/10.18287/2412-6179-2017-41-6-864-868-
dc.identifier.urihttp://repo.ssau.ru/handle/Zhurnal-Komputernaya-optika/Multispectral-image-processing-for-the-measurement-of-a-spatial-temperature-distribution-on-the-surface-of-a-laserheated-microscopic-object-66817-
dc.description.abstractIn this paper, we demonstrate that combining a laser heating (LH) system with a tandem acousto-optical tunable filter (TAOTF) allows us to measure the temperature distribution (TD) across a laser-heated microscopic specimen. Spectral image processing is based on one-dimensional (1D) non-linear least squares fitting of the Planck radiation function. It is applied for determining the temperature T at each point (x, y) of the specimen surface. It is shown that spectral image processing using the 1D non-linear least squares fitting allows measurement of the TD of the laser-heated microscopic specimen with higher precision and stability than those of the conventional linear least-squares fitting of the Wien approximation of Planck’s law.ru
dc.description.sponsorshipThe Russian Science Foundation (project #17-12-01535) financially supported the work.ru
dc.language.isoenru
dc.publisherСамарский университетru
dc.relation.ispartofseries41;6-
dc.subjectlaser heatingru
dc.subjectdiamond anvil cellru
dc.subjecttemperature measurementru
dc.subjectacousto-optical tunable filterru
dc.subjectspectral imagingru
dc.titleMulti-spectral image processing for the measurement of a spatial temperature distribution on the surface of a laser-heated microscopic objectru
dc.typeArticleru
dc.textpartTo determine a confidence in- terval of the temperature T1D we use a standard technique for non-linear regression described in [17]. For this, we plot S as a function of temperature around point T1D. A confidence interval is defined by taking S(T) = constant, where the constant is determined by S(T) = S(T0)[1+p/(n– p)×F(n, p, α)], where p is the number of parameters, n is the num...-
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