Emmert, Johannes ; Blume, Niels Göran ; Dreizler, Andreas ; Wagner, Steven (2022)
Data analysis and uncertainty estimation in supercontinuum laser absorption spectroscopy.
In: Scientific Reports, 2018, 8
doi: 10.26083/tuprints-00013404
Artikel, Zweitveröffentlichung, Verlagsversion
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Kurzbeschreibung (Abstract)
A set of algorithms is presented that facilitates the evaluation of super continuum laser absorption spectroscopy (SCLAS) measurements with respect to temperature, pressure and species concentration without the need for simultaneous background intensity measurements. For this purpose a non-linear model fitting approach is employed. A detailed discussion of the influences on the instrument function of the spectrometer and a method for the in-situ determination of the instrument function without additional hardware are given. The evaluation procedure is supplemented by a detailed measurement precision assessment by applying an error propagation through the non-linear model fitting approach. While the algorithms are tailored to SCLAS, they can be transferred to other spectroscopic methods, that similarly require an instrument function. The presented methods are validated using gas cell measurements of methane in the near infrared region at pressures up to 8.7 bar.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2022 |
| Autor(en): | Emmert, Johannes ; Blume, Niels Göran ; Dreizler, Andreas ; Wagner, Steven |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | Data analysis and uncertainty estimation in supercontinuum laser absorption spectroscopy |
| Sprache: | Englisch |
| Publikationsjahr: | 2022 |
| Publikationsdatum der Erstveröffentlichung: | 2018 |
| Verlag: | Springer Nature |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Scientific Reports |
| Jahrgang/Volume einer Zeitschrift: | 8 |
| Kollation: | 16 Seiten |
| DOI: | 10.26083/tuprints-00013404 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/13404 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichung |
| Kurzbeschreibung (Abstract): | A set of algorithms is presented that facilitates the evaluation of super continuum laser absorption spectroscopy (SCLAS) measurements with respect to temperature, pressure and species concentration without the need for simultaneous background intensity measurements. For this purpose a non-linear model fitting approach is employed. A detailed discussion of the influences on the instrument function of the spectrometer and a method for the in-situ determination of the instrument function without additional hardware are given. The evaluation procedure is supplemented by a detailed measurement precision assessment by applying an error propagation through the non-linear model fitting approach. While the algorithms are tailored to SCLAS, they can be transferred to other spectroscopic methods, that similarly require an instrument function. The presented methods are validated using gas cell measurements of methane in the near infrared region at pressures up to 8.7 bar. |
| Status: | Verlagsversion |
| URN: | urn:nbn:de:tuda-tuprints-134040 |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin, Gesundheit 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau |
| Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Fachgebiet Reaktive Strömungen und Messtechnik (RSM) |
| Hinterlegungsdatum: | 02 Mär 2022 13:11 |
| Letzte Änderung: | 03 Mär 2022 06:01 |
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| Suche nach Titel in: | TUfind oder in Google |
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- Data analysis and uncertainty estimation in supercontinuum laser absorption spectroscopy. (deposited 02 Mär 2022 13:11) [Gegenwärtig angezeigt]
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