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Data analysis and uncertainty estimation in supercontinuum laser absorption spectroscopy

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

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
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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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