Algorithm for applying regression analysis to determine the concentration of the main component in mineral raw materials by X-ray fluorescence method
X-ray fluorescence analysis (XRF) is currently in high demand in such branches of science and technology as metallurgy and geology. Today, it is important to create such methods of X-ray fluorescence analysis that would provide high accuracy of the results obtained along with a short execution time....
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/54/e3sconf_geotech2023_01010.pdf |
| _version_ | 1797737665615888384 |
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| author | Kovalev Igor Gruzenkin Denis Juraeva Malokhat Gafforov Alisher Podoplelova Valeria Borovinsky Dmitry |
| author_facet | Kovalev Igor Gruzenkin Denis Juraeva Malokhat Gafforov Alisher Podoplelova Valeria Borovinsky Dmitry |
| author_sort | Kovalev Igor |
| collection | DOAJ |
| description | X-ray fluorescence analysis (XRF) is currently in high demand in such branches of science and technology as metallurgy and geology. Today, it is important to create such methods of X-ray fluorescence analysis that would provide high accuracy of the results obtained along with a short execution time. The basic work is a technique, the essence of which is the use of regression analysis to determine the content of gold, as the main component in jewelry alloys. The technique uses a training sample that contains correlated radiation intensities of sample components with their gold content, determined by the assay method of analysis. In this paper, it is proposed to apply a similar approach to the analysis of mineral raw materials. Raw materials from the same deposit may have a similar composition, which allows you to collect enough statistical data to apply regression analysis. The paper proposes an enlarged algorithm for the development of such methods of X-ray fluorescence analysis. Such methods are of limited use, since they depend on the representativeness of the training sample and therefore can only be used to analyze materials of the same type, but their strengths are high accuracy and low time costs. |
| first_indexed | 2024-03-12T13:32:40Z |
| format | Article |
| id | doaj.art-b63c7726c66c41a7bd77d76a564aa290 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-12T13:32:40Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-b63c7726c66c41a7bd77d76a564aa2902023-08-24T08:21:35ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014170101010.1051/e3sconf/202341701010e3sconf_geotech2023_01010Algorithm for applying regression analysis to determine the concentration of the main component in mineral raw materials by X-ray fluorescence methodKovalev Igor0Gruzenkin Denis1Juraeva Malokhat2Gafforov Alisher3Podoplelova Valeria4Borovinsky Dmitry5Siberian Federal UniversitySiberian Federal UniversityBukhara Engineering-Technological InstituteBukhara Engineering-Technological InstituteSochi State UniversityFSBEE HE Siberian Fire and Rescue Academy EMERCOM of RussiaX-ray fluorescence analysis (XRF) is currently in high demand in such branches of science and technology as metallurgy and geology. Today, it is important to create such methods of X-ray fluorescence analysis that would provide high accuracy of the results obtained along with a short execution time. The basic work is a technique, the essence of which is the use of regression analysis to determine the content of gold, as the main component in jewelry alloys. The technique uses a training sample that contains correlated radiation intensities of sample components with their gold content, determined by the assay method of analysis. In this paper, it is proposed to apply a similar approach to the analysis of mineral raw materials. Raw materials from the same deposit may have a similar composition, which allows you to collect enough statistical data to apply regression analysis. The paper proposes an enlarged algorithm for the development of such methods of X-ray fluorescence analysis. Such methods are of limited use, since they depend on the representativeness of the training sample and therefore can only be used to analyze materials of the same type, but their strengths are high accuracy and low time costs.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/54/e3sconf_geotech2023_01010.pdf |
| spellingShingle | Kovalev Igor Gruzenkin Denis Juraeva Malokhat Gafforov Alisher Podoplelova Valeria Borovinsky Dmitry Algorithm for applying regression analysis to determine the concentration of the main component in mineral raw materials by X-ray fluorescence method E3S Web of Conferences |
| title | Algorithm for applying regression analysis to determine the concentration of the main component in mineral raw materials by X-ray fluorescence method |
| title_full | Algorithm for applying regression analysis to determine the concentration of the main component in mineral raw materials by X-ray fluorescence method |
| title_fullStr | Algorithm for applying regression analysis to determine the concentration of the main component in mineral raw materials by X-ray fluorescence method |
| title_full_unstemmed | Algorithm for applying regression analysis to determine the concentration of the main component in mineral raw materials by X-ray fluorescence method |
| title_short | Algorithm for applying regression analysis to determine the concentration of the main component in mineral raw materials by X-ray fluorescence method |
| title_sort | algorithm for applying regression analysis to determine the concentration of the main component in mineral raw materials by x ray fluorescence method |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/54/e3sconf_geotech2023_01010.pdf |
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