Methodology of selecting the algorithms for optimization of arc spectral analysis

descriptionPublicationkeyboard_double_arrow_right Article 15 Feb 2019Publisher:TEST-ZL PublishingJournal:Industrial laboratory. Diagnostics of materials, volume 85, pages 77-81 (issn: 1028-6861, eissn: 2588-0187,

Copyright policy )

Authors: D. E. Babenkov; V. I. Otmakhov; E. V. Petrova; Yu. A. Povesma; Yu. E. Salosina;

doi: 10.26896/1028-6861-2019-85-1-ii-77-81

Methodology of selecting the algorithms for optimization of arc spectral analysis

- Summary
- Metrics

Abstract

The goal of the study is the choice of algorithms for optimization of arc atomic emission spectral analysis with MAÉS to elaborate the techniques of quantitative spectral analysis of different objects. The choice of the algorithms is performed on an example of geologic objects with alumosilicate matrix. Determination of the elemental composition of such geological objects is important for obtaining markers, studying geochronological processes, and searching for mineral deposits.

Related Organizations

National Research Tomsk State University
Russian Federation

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average