0000000000999426
AUTHOR
Kati Laakso
Enhanced quantification of wollastonite and calcite in limestone using fluorescence correction based on continuous wavelet transformation for Raman
Raman spectroscopy offers a nondestructive means to identify minerals in rocks, but the ability to use the technology for quantitative mineralogical analysis is limited by fluorescence that can mask the spectral features of minerals. In this paper we apply continuous wavelet transformation (CWT) to remove fluoresence from Raman data acquired from 26 carbonate rock samples. We then record the intensity values of individual spectral features, proxies for mineral abundances, using the original Raman data and the thus inferred CWT data. The intensity values are then compared against the known mineral abundances determined using the scanning electron microscope (SEM) technology. This comparison …
Avoimen toimintakulttuurin palveluiden itsearviointityökalu
Toimintakulttuurin avoimen linjauksen tueksi on kehitetty palveluiden itsearviointityökalu, joka huomioi kaikkien aiempien avoimen tieteen kansallisten linjausten suositukset. Työkalun tarkoituksena on auttaa tutkimusorganisaatioita palveluiden itsearvioinnissa, kehittämisessä ja saataville asettamisessa. A self-evaluation tool for services has been developed to support the Policy for Open Scholarship, which takes into account the recommendations of all previous national policies on open science. The purpose of the tool is to assist research organisations in the self-evaluation and development of services and making them available. The organisation may produce the services alone, in coopera…
Enhanced quantification of wollastonite and calcite in limestone using fluorescence correction based on continuous wavelet transformation for Raman
Raman spectroscopy offers a nondestructive means to identify minerals in rocks, but the ability to use the technology for quantitative mineralogical analysis is limited by fluorescence that can mask the spectral features of minerals. In this paper we apply continuous wavelet transformation (CWT) to remove fluoresence from Raman data acquired from 26 carbonate rock samples. We then record the intensity values of individual spectral features, proxies for mineral abundances, using the original Raman data and the thus inferred CWT data. The intensity values are then compared against the known mineral abundances determined using the scanning electron microscope (SEM) technology. This comparison …