Greifenstein, M. ; Dreizler, A. (2021)
MARSFT: Efficient fitting of CARS spectra using a library-based genetic algorithm.
In: Journal of Raman Spectroscopy, 52 (3)
doi: 10.1002/jrs.6046
Artikel, Bibliographie
Dies ist die neueste Version dieses Eintrags.
Kurzbeschreibung (Abstract)
Abstract A loss-less compressed library scheme is presented in this publication that allows for computationally efficient fitting of coherent anti-Stokes Raman spectra with no restriction to the number of degrees of freedom for the spectral fit. The compression is achieved by convolving the squared modulus and the real part of the complex susceptibility with a Gaussian kernel narrower than the experimental apparatus function. This effectively reduces library size while allowing to convolve to the final experimental linewidth during the fit. For the optimization procedure, a gradient-free mixed-integer genetic algorithm was implemented due to its ability to extract library spectra without interpolation. We demonstrate the ability of the code by comparing it to CARSFT in terms of dependency on starting solution, computational cost and accuracy using simulated spectra with varying noise contribution.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2021 |
| Autor(en): | Greifenstein, M. ; Dreizler, A. |
| Art des Eintrags: | Bibliographie |
| Titel: | MARSFT: Efficient fitting of CARS spectra using a library-based genetic algorithm |
| Sprache: | Englisch |
| Publikationsjahr: | 10 Januar 2021 |
| Verlag: | Wiley-VCH |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Journal of Raman Spectroscopy |
| Jahrgang/Volume einer Zeitschrift: | 52 |
| (Heft-)Nummer: | 3 |
| DOI: | 10.1002/jrs.6046 |
| URL / URN: | https://analyticalsciencejournals.onlinelibrary.wiley.com/do... |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | Abstract A loss-less compressed library scheme is presented in this publication that allows for computationally efficient fitting of coherent anti-Stokes Raman spectra with no restriction to the number of degrees of freedom for the spectral fit. The compression is achieved by convolving the squared modulus and the real part of the complex susceptibility with a Gaussian kernel narrower than the experimental apparatus function. This effectively reduces library size while allowing to convolve to the final experimental linewidth during the fit. For the optimization procedure, a gradient-free mixed-integer genetic algorithm was implemented due to its ability to extract library spectra without interpolation. We demonstrate the ability of the code by comparing it to CARSFT in terms of dependency on starting solution, computational cost and accuracy using simulated spectra with varying noise contribution. |
| Freie Schlagworte: | CARS, genetic algorithm, library, spectral fit |
| Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Fachgebiet Reaktive Strömungen und Messtechnik (RSM) |
| Hinterlegungsdatum: | 27 Okt 2021 07:33 |
| Letzte Änderung: | 08 Jan 2024 07:41 |
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| Suche nach Titel in: | TUfind oder in Google |
Verfügbare Versionen dieses Eintrags
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MARSFT: Efficient fitting of CARS spectra using a library‐based genetic algorithm. (deposited 05 Jan 2024 13:43)
- MARSFT: Efficient fitting of CARS spectra using a library-based genetic algorithm. (deposited 27 Okt 2021 07:33) [Gegenwärtig angezeigt]
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