Fitting by Orthonormal Polynomials of Silver Nanoparticles Spectroscopic Data
Our original Orthonormal Polynomial Expansion Method (OPEM) in one-dimensional version is applied for first time to describe the silver nanoparticles (NPs) spectroscopic data. The weights for approximation include experimental errors in variables. In this way we construct orthonormal polynomial expa...
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Online Access: | https://doi.org/10.1051/epjconf/201817304003 |
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doaj-b7139d16422648918a7f66bf14b2c7b42021-08-02T09:46:54ZengEDP SciencesEPJ Web of Conferences2100-014X2018-01-011730400310.1051/epjconf/201817304003epjconf_mmcp2018_04003Fitting by Orthonormal Polynomials of Silver Nanoparticles Spectroscopic DataBogdanova NinaKoleva MihaelaOur original Orthonormal Polynomial Expansion Method (OPEM) in one-dimensional version is applied for first time to describe the silver nanoparticles (NPs) spectroscopic data. The weights for approximation include experimental errors in variables. In this way we construct orthonormal polynomial expansion for approximating the curve on a non equidistant point grid. The corridors of given data and criteria define the optimal behavior of searched curve. The most important subinterval of spectra data is investigated, where the minimum (surface plasmon resonance absorption) is looking for. This study describes the Ag nanoparticles produced by laser approach in a ZnO medium forming a AgNPs/ZnO nanocomposite heterostructure.https://doi.org/10.1051/epjconf/201817304003 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Bogdanova Nina Koleva Mihaela |
spellingShingle |
Bogdanova Nina Koleva Mihaela Fitting by Orthonormal Polynomials of Silver Nanoparticles Spectroscopic Data EPJ Web of Conferences |
author_facet |
Bogdanova Nina Koleva Mihaela |
author_sort |
Bogdanova Nina |
title |
Fitting by Orthonormal Polynomials of Silver Nanoparticles Spectroscopic Data |
title_short |
Fitting by Orthonormal Polynomials of Silver Nanoparticles Spectroscopic Data |
title_full |
Fitting by Orthonormal Polynomials of Silver Nanoparticles Spectroscopic Data |
title_fullStr |
Fitting by Orthonormal Polynomials of Silver Nanoparticles Spectroscopic Data |
title_full_unstemmed |
Fitting by Orthonormal Polynomials of Silver Nanoparticles Spectroscopic Data |
title_sort |
fitting by orthonormal polynomials of silver nanoparticles spectroscopic data |
publisher |
EDP Sciences |
series |
EPJ Web of Conferences |
issn |
2100-014X |
publishDate |
2018-01-01 |
description |
Our original Orthonormal Polynomial Expansion Method (OPEM) in one-dimensional version is applied for first time to describe the silver nanoparticles (NPs) spectroscopic data. The weights for approximation include experimental errors in variables. In this way we construct orthonormal polynomial expansion for approximating the curve on a non equidistant point grid. The corridors of given data and criteria define the optimal behavior of searched curve. The most important subinterval of spectra data is investigated, where the minimum (surface plasmon resonance absorption) is looking for. This study describes the Ag nanoparticles produced by laser approach in a ZnO medium forming a AgNPs/ZnO nanocomposite heterostructure. |
url |
https://doi.org/10.1051/epjconf/201817304003 |
work_keys_str_mv |
AT bogdanovanina fittingbyorthonormalpolynomialsofsilvernanoparticlesspectroscopicdata AT kolevamihaela fittingbyorthonormalpolynomialsofsilvernanoparticlesspectroscopicdata |
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1721234471408107520 |