Greifenstein, M. ; Dreizler, A. (2024)
MARSFT: Efficient fitting of CARS spectra using a library‐based genetic algorithm.
In: Journal of Raman Spectroscopy, 2021, 52 (3)
doi: 10.26083/tuprints-00017817
Artikel, Zweitveröffentlichung, Verlagsversion
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Kurzbeschreibung (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: | 2024 |
| Autor(en): | Greifenstein, M. ; Dreizler, A. |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | MARSFT: Efficient fitting of CARS spectra using a library‐based genetic algorithm |
| Sprache: | Englisch |
| Publikationsjahr: | 5 Januar 2024 |
| Ort: | Darmstadt |
| Publikationsdatum der Erstveröffentlichung: | 2021 |
| Ort der Erstveröffentlichung: | Chichester |
| Verlag: | John Wiley & Sons |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Journal of Raman Spectroscopy |
| Jahrgang/Volume einer Zeitschrift: | 52 |
| (Heft-)Nummer: | 3 |
| DOI: | 10.26083/tuprints-00017817 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/17817 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichung DeepGreen |
| Kurzbeschreibung (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 |
| Status: | Verlagsversion |
| URN: | urn:nbn:de:tuda-tuprints-178171 |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 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: | 05 Jan 2024 13:43 |
| Letzte Änderung: | 08 Jan 2024 07:40 |
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| Suche nach Titel in: | TUfind oder in Google |
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- MARSFT: Efficient fitting of CARS spectra using a library‐based genetic algorithm. (deposited 05 Jan 2024 13:43) [Gegenwärtig angezeigt]
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