Publication:
Adaptation of the Gauss-Newton Optimization Algorithm in Hilbert Diagnostics Using the Bunsen Flame as an Example

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creativeworkseries.issn2079-3537
dc.contributor.authorArbuzov, E. V.
dc.contributor.authorDubnishchev, Yu. N.
dc.contributor.authorZolotukhina, O. S.
dc.date.accessioned2024-12-28T16:04:14Z
dc.date.available2024-12-28T16:04:14Z
dc.date.issued2024
dc.description.abstractThe possibility of using the Gauss-Newton optimization algorithm in Hilbert diagnostics of reacting media (flames) is considered in the paper using the example of data on the temperature and main compounds of a laminar methane-air Bunsen flame. The method of reconstructing phase optical density fields is used to solve the inverse problem of Hilbert optics (it was previously proposed and tested on numerical models): the hilbertogram is calculated in the considered flame axisymmetric section, from which the initial values of the phase function and the medium refractive index are reconstructed. The applications scope expansion of the obtained results in the experimental data processing will be the work development.
dc.identifier.citationE.V. Arbuzov, Yu.N. Dubnishchev, O.S. Zolotukhina. Adaptation of the Gauss-Newton Optimization Algorithm in Hilbert Diagnostics Using the Bunsen Flame as an Example (2024). Scientific Visualization 16.4: 59 - 66, DOI: 10.26583/sv.16.4.06
dc.identifier.doi10.26583/sv.16.4.06
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/30294
dc.identifier.urihttp://sv-journal.org/2024-4/06/
dc.publisherНИЯУ МИФИ
dc.subjectFlame diagnostics
dc.subjectBunsen flame
dc.subjectOptimization
dc.subjectGauss-Newton algorithm
dc.subjectHilbert optics
dc.titleAdaptation of the Gauss-Newton Optimization Algorithm in Hilbert Diagnostics Using the Bunsen Flame as an Example
dc.typeArticle
dspace.entity.typePublication
journal.titleНаучная визуализация
journalvolume.identifier.nameНаучная визуализация
relation.isJournalIssueOfPublication084b3a95-678b-4cb9-8906-380733a82cb2
relation.isJournalIssueOfPublication.latestForDiscovery084b3a95-678b-4cb9-8906-380733a82cb2
relation.isJournalOfPublication95b5bb8c-faac-4680-a70f-5adf56268bdc
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